import numpy as np


def loguniform(lower_limit, upper_limit, size):
    assert (lower_limit != 0 and upper_limit != 0)
    return np.exp(np.random.uniform(np.log(lower_limit), np.log(upper_limit), size))

d99b0bc92444352cc1dc9e58cfea8074eb57b779
<mask token>

<mask token>


def loguniform(lower_limit, upper_limit, size):
    assert lower_limit != 0 and upper_limit != 0
    return np.exp(np.random.uniform(np.log(lower_limit), np.log(upper_limit
        ), size))

import numpy as np


def loguniform(lower_limit, upper_limit, size):
    assert lower_limit != 0 and upper_limit != 0
    return np.exp(np.random.uniform(np.log(lower_limit), np.log(upper_limit
        ), size))

import numpy as np


def loguniform(lower_limit, upper_limit, size):
    assert (lower_limit != 0 and upper_limit != 0)
    return np.exp(np.random.uniform(np.log(lower_limit), np.log(upper_limit), size))
