numpy.shares_memory

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

Determine if two arrays share memory

Parameters:

Parameters:	a, b : ndarray Input arrays max_work : int, 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:	out : bool
Raises:	numpy.TooHardError Exceeded max_work.

a, b : ndarray

Input arrays

max_work : int, 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:

out : bool

Raises:

numpy.TooHardError

Exceeded max_work.

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