BUG: Allow integer inputs for pow-related functions in array_api
#20807
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Updates `xp.power()`, `x.__pow__()`, `x.__ipow()__` and `x.__rpow()__`
charris
added
00 - Bug
08 - Backport
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Backport of 20762.
Updates
xp.pow(),x.__pow__(),x.__ipow()__andx.__rpow()__to accept integer inputs. Partially resolves #20752. @asmeurer initially wrote these when the Array API spec said only float inputs were allowed, but it has since changed to accept all numeric dtypes.This PR notably only enables integer arrays to work with integer arrays, and not allow the mix of integer arrays with floating arrays, which is out-of-scope for the Array API (i.e. mixing non-promotable dtypes together). This is to keep with the
numpy.array_apiphilosophy of not implementing beyond the spec... and conveniently already covered nicely by the internal use ofresult_type().This is smoke tested via the
xptests/test_operators_and_elementwise_functions.py::test_powtest case(s) inarray-api-tests. Better testing would be ideal, but these pow-related functions are using NumPy proper's pow-related functions anywho.