Source code for mxnet.numpy.stride_tricks

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"""Util functions with broadcast."""

from ..ndarray.ndarray import _get_broadcast_shape
from ..ndarray import numpy as _mx_nd_np
from .multiarray import asarray


__all__ = ['broadcast_arrays']


def _broadcast_shape(*args):
    shape = ()
    for arr in args:
        shape = _get_broadcast_shape(shape, arr.shape)
    return shape




def broadcast_arrays(*args):
    """
    Broadcast any number of arrays against each other.

    Parameters
    ----------
    `*args` : a list of ndarrays
        The arrays to broadcast.

    Returns
    -------
    broadcasted : list of arrays
        These arrays are copies of the original arrays unless that all the input
        arrays have the same shape, the input list of arrays are returned
        instead of a list of copies.

    Examples
    --------
    >>> x = np.array([[1,2,3]])
    >>> y = np.array([[4],[5]])
    >>> np.broadcast_arrays(x, y)
    [array([[1., 2., 3.],
           [1., 2., 3.]]), array([[4., 4., 4.],
           [5., 5., 5.]])]
    """
    args = [asarray(array) for array in args]
    shape = _broadcast_shape(*args)

    if all(array.shape == shape for array in args):
        # Common case where nothing needs to be broadcasted.
        return list(args)

    return [_mx_nd_np.broadcast_to(array, shape) for array in args]