ci(typing): Disable mypy [annotation-unchecked] on examples#3775
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dangotbanned merged 1 commit intomainfrom Jan 18, 2025
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ci(typing): Disable mypy [annotation-unchecked] on examples#3775dangotbanned merged 1 commit intomainfrom
mypy [annotation-unchecked] on examples#3775dangotbanned merged 1 commit intomainfrom
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Disables the non-blocking warning that appeared since (1d01fa0) https://github.com/vega/altair/actions/runs/12843721674/job/35815966648?pr=3747#step:8:13 > tests\examples_methods_syntax\deviation_ellipses.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked] > tests\examples_arguments_syntax\deviation_ellipses.py:56: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked] I don't consider this useful because: 1. The signature annotations were removed deliberately. Prior to this, they already did the dance of making the stubs of `pandas`, `numpy` and `scipy` happy. 2. The default of `mypy` is the opposite of ((`pyright`|`pylance`))[https://microsoft.github.io/pyright/#/mypy-comparison?id=type-checking-unannotated-code]. I'm not planning to enable `--check-untyped-defs` - but I do want to avoid having warnings in VSCode. 3. Annotations within examples are helpful for getting the correct completions, in cases where inference fails. This is why `pd.Series[float]` was added - to resolve `pandas` complex indexing `@overload`(s)
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mypy code [annotation-unchecked] on examplesmypy [annotation-unchecked] on examples
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Disables the non-blocking warning that appeared since (1d01fa0)
I don't consider this useful because:
Prior to this, they already did the dance of making the stubs of
pandas,numpyandscipyhappy.mypyis the opposite of (pyright|pylance).I'm not planning to enable
--check-untyped-defs- but I do want to avoid having warnings in VSCode.This is why
pd.Series[float]was added - to resolvepandascomplex indexing@overload(s)