numpy.shares_memory
- 
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 
- 
    © 2005–2019 NumPy Developers
Licensed under the 3-clause BSD License.
    https://docs.scipy.org/doc/numpy-1.15.4/reference/generated/numpy.shares_memory.html