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Since array_namespace(x, use_compat=None)
now returns plain numpy
, but released NumPy still has incompatibilities with the standard, we want to use use_compat=True
in SciPy. However, since array-api-strict isn't wrapped, array_namespace
throws a ValueError
, so we have to use:
try:
return array_api_compat.array_namespace(*_arrays, use_compat=True)
except ValueError:
return array_api_compat.array_namespace(*_arrays, use_compat=None)
array-api-strict isn't special here, this goes for any standard-compliant library. It would be nice to have an option to do this without having to catch an exception. Alternatively, we could just wait until NumPy is fully compatible with the standard before making the native namespace the default, but I'm not sure how feasible that is as the standard continues to change.
x-ref scipy/scipy#21264
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