TYP: Remove None from definition of DTypeLike type alias#29739
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jorenham merged 13 commits intonumpy:mainfrom Oct 2, 2025
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TYP: Remove None from definition of DTypeLike type alias#29739jorenham merged 13 commits intonumpy:mainfrom
None from definition of DTypeLike type alias#29739jorenham merged 13 commits intonumpy:mainfrom
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We could do a little experiment and try to see what mypy_primer will report when we remove |
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Hmm, I expected worse. It's mostly xarray that's affected by this it seems. |
MarcoGorelli
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DTypeLike | None fixNone from definition of DTypeLike type alias
MarcoGorelli
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None from definition of DTypeLike type aliasNone from definition of DTypeLike type alias
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Yup. And even then, it looks manageable IMHO this would be an acceptable change, but it's your decision of course |
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Since there's no way to deprecate this, there's no painless way of doing this, so I'm inclined to agree. |
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there are also some None-less DTypeLike's in _core.numerictypes
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sure, i've added it to |
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The |
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jorenham
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Co-authored-by: Joren Hammudoglu <[email protected]>
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56 - Needs Release Note.
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Ok the xarray PR has been merged, so it should be gone from the next mypy_primer run. Also, it's probably a good idea to put this in the release notes. |
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jorenham
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jorenham
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Co-authored-by: Joren Hammudoglu <[email protected]>
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Diff from mypy_primer, showing the effect of this PR on type check results on a corpus of open source code: xarray (https://github.com/pydata/xarray)
- xarray/compat/npcompat.py:54: note: def isdtype(dtype: dtype[Any] | type, kind: type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None | tuple[type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None, ...]) -> bool
+ xarray/compat/npcompat.py:54: note: def isdtype(dtype: dtype[Any] | type, kind: type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | tuple[type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str, ...]) -> bool
- xarray/compat/npcompat.py:54: note: def isdtype(dtype: dtype[Any] | type[Any], kind: type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None | tuple[type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None, ...]) -> bool
+ xarray/compat/npcompat.py:54: note: def isdtype(dtype: dtype[Any] | type[Any], kind: type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | tuple[type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str, ...]) -> bool
pandera (https://github.com/pandera-dev/pandera)
- pandera/engines/numpy_engine.py:60: error: Item "_SupportsDType[dtype[Any]]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
+ pandera/engines/numpy_engine.py:60: error: Item "_SupportsDType[dtype[Any]]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:60: error: Item "tuple[Any, ...]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
+ pandera/engines/numpy_engine.py:60: error: Item "tuple[Any, ...]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:60: error: Item "list[Any]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
+ pandera/engines/numpy_engine.py:60: error: Item "list[Any]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:60: error: Item "_DTypeDict" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
+ pandera/engines/numpy_engine.py:60: error: Item "_DTypeDict" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:60: error: Item "str" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
+ pandera/engines/numpy_engine.py:60: error: Item "str" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:60: error: Item "None" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "type" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "_SupportsDType[dtype[Any]]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
+ pandera/engines/numpy_engine.py:77: error: Item "_SupportsDType[dtype[Any]]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "name" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "tuple[Any, ...]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
+ pandera/engines/numpy_engine.py:77: error: Item "tuple[Any, ...]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "name" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "list[Any]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
+ pandera/engines/numpy_engine.py:77: error: Item "list[Any]" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "name" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "_DTypeDict" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
+ pandera/engines/numpy_engine.py:77: error: Item "_DTypeDict" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "name" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "str" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
+ pandera/engines/numpy_engine.py:77: error: Item "str" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str" has no attribute "name" [union-attr]
- pandera/engines/numpy_engine.py:77: error: Item "None" of "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None" has no attribute "name" [union-attr]
spark (https://github.com/apache/spark)
- python/pyspark/pandas/frame.py:11229: error: Argument 1 to "is_bool_dtype" has incompatible type "pyspark.pandas.series.Series[Any]"; expected "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None | pandas.core.series.Series[Any] | DataFrame | Index[Any] | ExtensionDtype" [arg-type]
+ python/pyspark/pandas/frame.py:11229: error: Argument 1 to "is_bool_dtype" has incompatible type "pyspark.pandas.series.Series[Any]"; expected "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | pandas.core.series.Series[Any] | DataFrame | Index[Any] | ExtensionDtype" [arg-type]
|
jorenham
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Oct 2, 2025
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In it goes... Thanks Marco; great QOL improvement! |
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…py#29739) Co-authored-by: Joren Hammudoglu <[email protected]>
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Addressing #29634 (comment)
I haven't removed
| NonefromDTypeLike, as it's a publicly exported type and so changing it would be a breaking change, and I didn't know if that would be OKNote that there are some places which currently accept
dtype: DTypeLike, even thoughNonecannot be passed. For example,isdtype:numpy/numpy/_core/numerictypes.pyi
Line 157 in 9c29c32
It says
DTypeLike, which includesNone, althoughNoneis not valid at runtimeAnyway, I've left such cases alone