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Module « scipy.cluster.vq »

Fonction rng_integers - module scipy.cluster.vq

Signature de la fonction rng_integers

def rng_integers(gen, low, high=None, size=None, dtype='int64', endpoint=False) 

Description

help(scipy.cluster.vq.rng_integers)

Return random integers from low (inclusive) to high (exclusive), or if
endpoint=True, low (inclusive) to high (inclusive). Replaces
`RandomState.randint` (with endpoint=False) and
`RandomState.random_integers` (with endpoint=True).

Return random integers from the "discrete uniform" distribution of the
specified dtype. If high is None (the default), then results are from
0 to low.

Parameters
----------
gen : {None, np.random.RandomState, np.random.Generator}
    Random number generator. If None, then the np.random.RandomState
    singleton is used.
low : int or array-like of ints
    Lowest (signed) integers to be drawn from the distribution (unless
    high=None, in which case this parameter is 0 and this value is used
    for high).
high : int or array-like of ints
    If provided, one above the largest (signed) integer to be drawn from
    the distribution (see above for behavior if high=None). If array-like,
    must contain integer values.
size : array-like of ints, optional
    Output shape. If the given shape is, e.g., (m, n, k), then m * n * k
    samples are drawn. Default is None, in which case a single value is
    returned.
dtype : {str, dtype}, optional
    Desired dtype of the result. All dtypes are determined by their name,
    i.e., 'int64', 'int', etc, so byteorder is not available and a specific
    precision may have different C types depending on the platform.
    The default value is 'int64'.
endpoint : bool, optional
    If True, sample from the interval [low, high] instead of the default
    [low, high) Defaults to False.

Returns
-------
out: int or ndarray of ints
    size-shaped array of random integers from the appropriate distribution,
    or a single such random int if size not provided.

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