autolens/data/ccd.py
def setup_random_seed(seed):
    """Setup the random seed. If the input seed is -1, the code will use a random seed for every run. If it is \
    positive, that seed is used for all runs, thereby giving reproducible results.

    Parameters
    ----------
    seed : int
        The seed of the random number generator.
    """
    if seed == -1:
        seed = np.random.randint(0,
                                 int(1e9))  # Use one seed, so all regions have identical column non-uniformity.
    np.random.seed(seed)
def setup_random_seed(seed):
    """Setup the random seed. If the input seed is -1, the code will use a random seed for every run. If it is \
    positive, that seed is used for all runs, thereby giving reproducible results.

    Parameters
    ----------
    seed : int
        The seed of the random number generator.
    """
    if seed == -1:
        seed = np.random.randint(0,
                                 int(1e9))  # Use one seed, so all regions have identical column non-uniformity.
    np.random.seed(seed)
def setup_random_seed ( seed ) : if seed == - 1 : seed = np . random . randint ( 0 , int ( 1e9 ) ) # Use one seed, so all regions have identical column non-uniformity. np . random . seed ( seed )
Setup the random seed. If the input seed is -1, the code will use a random seed for every run. If it is \
    positive, that seed is used for all runs, thereby giving reproducible results.

    Parameters
    ----------
    seed : int
        The seed of the random number generator.
Setup the random seed . If the input seed is - 1 the code will use a random seed for every run . If it is \ positive that seed is used for all runs thereby giving reproducible results .