Resolve numpy 1.25 issues #973
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manopapad
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category:bug-fix
manopapad
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Jun 21, 2023
bryevdv
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Jun 21, 2023
cunumeric/module.py
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| if dtype is None: | ||
| dtype = np.find_common_type([], [type(start), type(stop), type(step)]) | ||
| dtype = np.result_type(type(start), type(stop), type(step)) |
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@seberg is this OK or do we need to pass actual scalars?
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find_common_type calls np.dtype() first while np.result_type tends to convert to arrays when it doens't see an exact scalar type or dtype. I think that could fail with the type() for very strange input.
So it should be a bit safer to pass the values (or use np.dtype(type(start)) to keep the identical behavior).
Passing values may also be more future-proof, but that goes into too much arange weirdness.
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Sep 18, 2025
* a little consistency between eager/deferred modules * pass deferred arrays to _call_full * avoid runtime getattr in ufuncs * split out where check to simplify _prepare_operands * fix test
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This is an abridged version of #972 to clear up CI issues, that updates everything except a few more complicated uses of
find_common_types.A
test_argsort.pytest is failing for me locally, but also fails for me locally onbranch-23.07so I don't think it is related.