Hello NumPy developers,
I would like to propose an optional mechanism to control the behavior of 0-dimensional array return conversion in PyArray_Return. Currently, 0D NumPy arrays are automatically converted into Python scalars in many operations. In some workflows, it is desirable to preserve the ndarray object instead. Proposed idea: - Introduce an opt-in mechanism (initially implemented as a global flag) to control whether 0D arrays are converted to scalars or preserved as ndarray objects. - Default behavior remains unchanged for full backward compatibility. Motivation: In certain array-centric workflows, implicit scalar conversion of 0D arrays can lead to loss of consistency when uniform ndarray behavior is desired. I have implemented a prototype PR here: <https://github.com/numpy/numpy/pull/31221> However, I was informed that this kind of change requires prior discussion on the mailing list before proceeding further. I would appreciate feedback on: - whether this direction is acceptable - whether a global flag is appropriate - or if an alternative design (context-local, function-level, etc.) would be preferred Thank you for your time. _______________________________________________ NumPy-Discussion mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3//lists/numpy-discussion.python.org Member address: [email protected]
