def uniform(low=0.0, high=1.0, size=None):
    if size is None:
        return np.random.uniform(low, high, size)
    size = helpers.normalize_shape(size)
    n = helpers.prod(size)
    # cuRAND number generation requires an even number of elements.
    n = n if n % 2 != 0 else n + 1
    out = cudarray.empty(n)
    random._random_uniform(out._data, low, high, n)
    out.shape = size
    return out
dataset/ETHPy150Open andersbll/cudarray/cudarray/random.py/uniform/operator `==` -> `!=`