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bundles / numpy latest / numpy / may_share_memory

built-in

numpy:may_share_memory

Signature

built-in may_share_memory ( a b / max_work = 0 )

Summary

Determine if two arrays might share memory

Extended Summary

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, 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

Examples

import numpy as np
np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
x = np.zeros([3, 4])
np.may_share_memory(x[:,0], x[:,1])

See also

shares_memory

Aliases

  • numpy.may_share_memory
  • numpy._core._multiarray_umath.may_share_memory