e5e0e56297fa91237ca1826071e2df5caaa1f219,dython/sampling.py,,weighted_sampling,#,9

Before Change

    with_replacement : Boolean, default = False
        Allow replacement or not
    
    sampled = np.random.choice(numbers, size=k, replace=with_replacement)
    if (isinstance(numbers, list)
            or kwargs.get("to_list", False)) and k is not None:
        sampled = sampled.tolist()
    return sampled


def boltzmann_sampling(numbers, k=1, with_replacement=False):
    

After Change

    --------
    List, np.ndarray or a single number (depending on the input)
    
    return _w_sampling(numbers, k, with_replacement, force_to_list=False)


def boltzmann_sampling(numbers, k=1, with_replacement=False):
    

Instances