This is documentation for an old release of NumPy (version 1.17.0). Read this page Search for this page in the documentation of the latest stable release (version > 1.17).
numpy.shares_memory
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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.
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| Returns: |
- out : bool
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| Raises: |
- numpy.TooHardError
Exceeded max_work.
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Examples
>>>>>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
False
