numpy.may_share_memory()

numpy.may_share_memory(a, b, max_work=None)

Determine if two arrays might share memory

A return of True does not necessarily mean that the two arrays share any element. It just means that they might.

Only the memory bounds of a and b are checked by default.

Parameters:

Parameters:	a, b : ndarray Input arrays max_work : int, optional Effort to spend on solving the overlap problem. See `shares_memory` for details. Default for `may_share_memory` is to do a bounds check.
Returns:	out : bool

a, b : ndarray

Input arrays

max_work : int, optional

Effort to spend on solving the overlap problem. See shares_memory for details. Default for may_share_memory is to do a bounds check.

Returns:

out : bool

>>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
False
>>> x = np.zeros([3, 4])
>>> np.may_share_memory(x[:,0], x[:,1])
True

Links:

doc_NumPy

2017-01-10 18:16:03

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