"""
Tensor-based mining operations using GPU tensor cores
"""
import numpy as np
from typing import List, Dict, Any
from ..core.sha256_matrix_ops import SHA256MatrixOps

class TensorMining:
    def __init__(self):
        self.sha256_ops = SHA256MatrixOps()
        self.batch_size = 1024 * 1024 * 5  # Process 5M blocks at once
        
    def prepare_work(self, block_template: bytes) -> List[Dict[str, Any]]:
        """Prepare work units for tensor processing"""
        # Convert block template to matrix form for tensor operations
        block_matrix = np.frombuffer(block_template, dtype=np.uint32)
        block_matrix = block_matrix.reshape(1, -1)
        
        # Create batches for parallel processing
        batches = []
        nonce_start = 0
        
        while nonce_start < 2**32:
            nonce_end = min(nonce_start + self.batch_size, 2**32)
            batch = {
                'block_matrix': np.tile(block_matrix, (self.batch_size, 1)),
                'nonce_range': (nonce_start, nonce_end)
            }
            batches.append(batch)
            nonce_start = nonce_end
            
        return batches

    def prepare_batch_work(self, block_templates: List[bytes]) -> List[Dict[str, Any]]:
        """Process multiple block templates in parallel"""
        all_batches = []
        for template in block_templates:
            batches = self.prepare_work(template)
            all_batches.extend(batches)
        return all_batches
