Use dataclass to add type annotations to Extension so that it can easily be extended in setuptools.
#373
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There seems to be an unrelated error in I have rebased this PR on top of #374, so that we can see if the main log fails on not in the majority of the CI workers. Now the same unrelated errors as in #374 (comment) can be found. |
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abravalheri
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Jul 11, 2025
| @@ -70,7 +70,7 @@ class Compiler: | |||
| # dictionary (see below -- used by the 'new_compiler()' factory | |||
| # function) -- authors of new compiler interface classes are | |||
| # responsible for updating 'compiler_class'! | |||
| compiler_type: ClassVar[str] = None # type: ignore[assignment] | |||
| compiler_type: ClassVar[str] = None | |||
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In pypa/setuptools#5022, there is an effort to add type annotations to
setuptools.extension.Extension.However, right now it basically requires repeating all the
__init__arguments that are already specified indistutils.extension.Extensionand all the type annotations.If any argument changes (added/removed/changed type annotation), that needs to be repeated in
setuptools.There is a discussion in https://github.com/pypa/setuptools/pull/5022/files#r2124429494 about how would it be possible to avoid this duplication and need for manual synchronisation.
This PR is an attempt to use
dataclassfor that.I have experimented with other approaches (like attempting to use a TypedDict), but in the end of the day, this approach is what seems to me the most promising.
If I am not mistaken, this should allow backward compatibility. Type checkers are likely to start catching unknown keyword arguments, but I think that is a good thing.
On a related not, I did modify the warning to mention using unknown keywords is deprecated, the reasoning is that removing this lenient behaviour simplifies a lot of stuff and we can use dataclasses by the book.
The docstrings for the properties were basically moved from the existing class docstring.