TYP: Better ndarray binop return types for float64 & ``complex128"#28112
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charris merged 2 commits intonumpy:maintenance/2.2.xfrom Jan 7, 2025
Merged
TYP: Better ndarray binop return types for float64 & ``complex128"#28112charris merged 2 commits intonumpy:maintenance/2.2.xfrom
ndarray binop return types for float64 & ``complex128"#28112charris merged 2 commits intonumpy:maintenance/2.2.xfrom
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* MAINT: bump `mypy` to `1.14.1` * TYP: fix new `mypy==1.14.1` type-test errors * TYP: backport `collections.abc.Buffer` for `npt.ArrayLike` on `python<3.11`
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Backport of #28108 and #28089.
This improved the return types of the following
numpy.ndarraymethods:__[r]add____[r]sub____[r]mul____[r]matmul____[r]truediv____[r]floordiv____[r]mod____[r]divmod____[r]pow__Closes #20099 (not sure why, but a win is a win 🤷🏻)
Closes #22631
Closes #27957
Closes #27965
Closes #28071
Towards #28076 (I'm guessing that this fixes something between 75%~95% of the possible 2.2.0 typing issues)
MAINT: bump mypy to 1.14.1
Some type-tests needed to be refined because mypy now supports generic
slicetypes.The updated bundled typeshed was causing
memoryview[int]to not be accepted anymore bynpt.ArrayLikeonpython<3.12. This was also the case with pyright. I solved this by backportingcollections.abc.Bufferonpython<3.12, and included it in thenumpy.typing.ArrayLiketype alias, making it equivalent to itspython>=3.12variant (from a static typing perspective).1.14.1release notes