Random

random_sampler(conditions, n)

Uniform random sampling without replacement from a pool of conditions.

Parameters:

Name	Type	Description	Default
conditions	Union[Iterable, Sequence]	Pool of conditions	required
n	int	number of samples to collect	required

Source code in autora/experimentalist/sampler/random.py

def random_sampler(conditions: Union[Iterable, Sequence], n: int):
    """
    Uniform random sampling without replacement from a pool of conditions.
    Args:
        conditions: Pool of conditions
        n: number of samples to collect

    Returns: Sampled pool

    """

    if isinstance(conditions, Iterable):
        conditions = list(conditions)
    random.shuffle(conditions)
    samples = conditions[0:n]

    return samples