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
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