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)
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.