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may_share_memory(a, b, /, max_work=None)

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

Determine if two arrays might share memory

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
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.core._multiarray_umath.shares_memory numpy.shares_memory

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