NumPy

numpy.shares_memory

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

Determine if two arrays share memory

Parameters
a, bndarray

Input arrays

max_workint, optional

Effort to spend on solving the overlap problem (maximum number of candidate solutions to consider). The following special values are recognized:

max_work=MAY_SHARE_EXACT (default)

The problem is solved exactly. In this case, the function returns True only if there is an element shared between the arrays.

max_work=MAY_SHARE_BOUNDS

Only the memory bounds of a and b are checked.

Returns
outbool
Raises
numpy.TooHardError

Exceeded max_work.

See also

may_share_memory

Examples

>>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
False

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