`scipy.fft._pocketfft.helper:_init_nd_shape_and_axes`

Signature

def _init_nd_shape_and_axes ( x , shape , axes )

Handle shape and axes arguments for N-D transforms.

Returns the shape and axes in a standard form, taking into account negative values and checking for various potential errors.

x : ndarray: The input array.
shape : int or array_like of ints or None: The shape of the result. If both shape and axes (see below) are None, shape is x.shape; if shape is None but axes is not None, then shape is numpy.take(x.shape, axes, axis=0). If shape is -1, the size of the corresponding dimension of x is used.
axes : int or array_like of ints or None: Axes along which the calculation is computed. The default is over all axes. Negative indices are automatically converted to their positive counterparts.

shape : tuple: The shape of the result as a tuple of integers.
axes : list: Axes along which the calculation is computed, as a list of integers.