numpy.shares_memory¶
- 
numpy.shares_memory(a, b, max_work=None)¶ Determine if two arrays share memory
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.
See also
Examples
>>> np.may_share_memory(np.array([1,2]), np.array([5,8,9])) False
