This is documentation for an old release of NumPy (version 1.18). Read this page Search for this page in the documentation of the latest stable release (version 2.2).

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

a, bndarray

Input arrays

max_workint, 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

outbool

See also

shares_memory

Examples

>>>

>>> 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