Display typevar bounds, constraints, and defaults in foralls#2189
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Adist319 wants to merge 1 commit intofacebook:mainfrom
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Display typevar bounds, constraints, and defaults in foralls#2189Adist319 wants to merge 1 commit intofacebook:mainfrom
Adist319 wants to merge 1 commit intofacebook:mainfrom
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Diff from mypy_primer, showing the effect of this PR on open source code: pip (https://github.com/pypa/pip)
- [AnyStr](s: PathLike[AnyStr]) -> AnyStr
+ [AnyStr: (str, bytes)](s: PathLike[AnyStr]) -> AnyStr
- [AnyOrLiteralStr](s: AnyOrLiteralStr) -> AnyOrLiteralStr
+ [AnyOrLiteralStr: (str, bytes, LiteralString)](s: AnyOrLiteralStr) -> AnyOrLiteralStr
- ::error file=src/pip/_internal/req/req_uninstall.py,line=168,col=31,endLine=168,endColumn=56,title=Pyrefly no-matching-overload::No matching overload found for function `map.__new__` called with arguments: (type[map[_S]], Overload[%0A [AnyStr](s: PathLike[AnyStr]) -> AnyStr%0A [AnyOrLiteralStr](s: AnyOrLiteralStr) -> AnyOrLiteralStr%0A], set[str])%0A Possible overloads:%0A (cls: type[map[_S]], func: (_T1) -> _S, iterable: Iterable[_T1], /) -> map[_S] [closest match]%0A (cls: type[map[_S]], func: (_T1, _T2) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3, _T4) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3, _T4, _T5) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /) -> map[_S]%0A (cls: type[map[_S]], func: (...) -> _S, iterable: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any]) -> map[_S]
+ ::error file=src/pip/_internal/req/req_uninstall.py,line=168,col=31,endLine=168,endColumn=56,title=Pyrefly no-matching-overload::No matching overload found for function `map.__new__` called with arguments: (type[map[_S]], Overload[%0A [AnyStr: (str, bytes)](s: PathLike[AnyStr]) -> AnyStr%0A [AnyOrLiteralStr: (str, bytes, LiteralString)](s: AnyOrLiteralStr) -> AnyOrLiteralStr%0A], set[str])%0A Possible overloads:%0A (cls: type[map[_S]], func: (_T1) -> _S, iterable: Iterable[_T1], /) -> map[_S] [closest match]%0A (cls: type[map[_S]], func: (_T1, _T2) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3, _T4) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /) -> map[_S]%0A (cls: type[map[_S]], func: (_T1, _T2, _T3, _T4, _T5) -> _S, iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /) -> map[_S]%0A (cls: type[map[_S]], func: (...) -> _S, iterable: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any]) -> map[_S]
bokeh (https://github.com/bokeh/bokeh)
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ArrayT](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: _ArrayT, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ArrayT](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
+ [_ArrayT: ndarray[tuple[Any, ...], dtype[Any]]](object: numpy._core.multiarray._SupportsArray[_ArrayT], dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: Literal[True], ndmin: Literal[0] = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> _ArrayT
- [_ScalarT](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
+ [_ScalarT: generic[Any]](object: _ArrayLike, dtype: None = None, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
- [_ScalarT](object: Any, dtype: _DTypeLike, *, copy: _CopyMode | bool | None = True, order: _OrderKACF = 'K', subok: bool = False, ndmin: int = 0, ndmax: int = 0, like: _SupportsArrayFunc | None = None) -> ndarray[tuple[Any, ...], dtype[_ScalarT]]
... (truncated 17 lines) ...
openlibrary (https://github.com/internetarchive/openlibrary)
- ERROR openlibrary/plugins/openlibrary/lists.py:811:43-813:18: Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]` [unsupported-operation]
- ERROR openlibrary/plugins/openlibrary/lists.py:818:40-88: Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]` [unsupported-operation]
- ERROR openlibrary/plugins/openlibrary/lists.py:823:42-825:18: Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]` [unsupported-operation]
- ERROR openlibrary/plugins/upstream/tests/test_merge_authors.py:142:12-52: Object of class `NoneType` has no attribute `key` [missing-attribute]
- ::error file=openlibrary/plugins/openlibrary/lists.py,line=811,col=43,endLine=813,endColumn=18,title=Pyrefly unsupported-operation::Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]`%0A Argument `list[Thing | Unknown]` is not assignable to parameter `value` with type `list[dict[Unknown, Unknown]]` in function `dict.__setitem__`
- ::error file=openlibrary/plugins/openlibrary/lists.py,line=818,col=40,endLine=818,endColumn=88,title=Pyrefly unsupported-operation::Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]`%0A Argument `list[Thing | Unknown]` is not assignable to parameter `value` with type `list[dict[Unknown, Unknown]]` in function `dict.__setitem__`
- ::error file=openlibrary/plugins/openlibrary/lists.py,line=823,col=42,endLine=825,endColumn=18,title=Pyrefly unsupported-operation::Cannot set item in `dict[str, list[dict[Unknown, Unknown]]]`%0A Argument `list[Thing | Unknown]` is not assignable to parameter `value` with type `list[dict[Unknown, Unknown]]` in function `dict.__setitem__`
- ::error file=openlibrary/plugins/upstream/tests/test_merge_authors.py,line=37,col=9,endLine=37,endColumn=12,title=Pyrefly bad-override::Class member `MockSite.get` overrides parent class `Site` in an inconsistent manner%0A `MockSite.get` has type `BoundMethod[MockSite, (self: MockSite, key: Unknown) -> Thing | Unknown]`, which is not assignable to `BoundMethod[MockSite, (self: MockSite, key: Unknown, revision: Unknown | None = None, lazy: bool | Unknown = False) -> Thing | Unknown | None]`, the type of `Site.get`
+ ::error file=openlibrary/plugins/upstream/tests/test_merge_authors.py,line=37,col=9,endLine=37,endColumn=12,title=Pyrefly bad-override::Class member `MockSite.get` overrides parent class `Site` in an inconsistent manner%0A `MockSite.get` has type `BoundMethod[MockSite, (self: MockSite, key: Unknown) -> Unknown]`, which is not assignable to `BoundMethod[MockSite, (self: MockSite, key: Unknown, revision: Unknown | None = None, lazy: bool | Unknown = False) -> Unknown | None]`, the type of `Site.get`
- ::error file=openlibrary/plugins/upstream/tests/test_merge_authors.py,line=142,col=12,endLine=142,endColumn=52,title=Pyrefly missing-attribute::Object of class `NoneType` has no attribute `key`
materialize (https://github.com/MaterializeInc/materialize)
- [_T_conn](dsn: str | None, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn
+ [_T_conn: connection](dsn: str | None, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn
- [_T_conn](dsn: str | None = None, *, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn
+ [_T_conn: connection](dsn: str | None = None, *, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn
- ::error file=misc/dbt-materialize/dbt/adapters/materialize/connections.py,line=70,col=20,endLine=70,endColumn=27,title=Pyrefly bad-assignment::`(**kwargs: Unknown) -> connection` is not assignable to attribute `connect` with type `Overload[%0A [_T_conn](dsn: str | None, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn%0A [_T_conn](dsn: str | None = None, *, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn%0A (dsn: str | None = None, connection_factory: ((...) -> connection) | None = None, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> connection%0A]`
+ ::error file=misc/dbt-materialize/dbt/adapters/materialize/connections.py,line=70,col=20,endLine=70,endColumn=27,title=Pyrefly bad-assignment::`(**kwargs: Unknown) -> connection` is not assignable to attribute `connect` with type `Overload[%0A [_T_conn: connection](dsn: str | None, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn%0A [_T_conn: connection](dsn: str | None = None, *, connection_factory: (...) -> _T_conn, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> _T_conn%0A (dsn: str | None = None, connection_factory: ((...) -> connection) | None = None, cursor_factory: ((connection, bytes | str | None) -> cursor) | None = None, **kwargs: Any) -> connection%0A]`
egglog-python (https://github.com/egraphs-good/egglog-python)
- ERROR python/egglog/egraph.py:206:5-11: Overload return type `[P]((ParamSpec(P)) -> BaseExpr) -> (ParamSpec(P)) -> BaseExpr` is not assignable to implementation return type `[P, BASE_EXPR_NONE]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE` [inconsistent-overload]
+ ERROR python/egglog/egraph.py:206:5-11: Overload return type `[P]((ParamSpec(P)) -> BaseExpr) -> (ParamSpec(P)) -> BaseExpr` is not assignable to implementation return type `[P, BASE_EXPR_NONE: BaseExpr | None]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE` [inconsistent-overload]
- ERROR python/egglog/egraph.py:216:5-11: Overload return type `[P, EXPR_NONE]((ParamSpec(P)) -> EXPR_NONE) -> (ParamSpec(P)) -> EXPR_NONE` is not assignable to implementation return type `[P, BASE_EXPR_NONE]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE` [inconsistent-overload]
+ ERROR python/egglog/egraph.py:216:5-11: Overload return type `[P, EXPR_NONE: Expr | None]((ParamSpec(P)) -> EXPR_NONE) -> (ParamSpec(P)) -> EXPR_NONE` is not assignable to implementation return type `[P, BASE_EXPR_NONE: BaseExpr | None]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE` [inconsistent-overload]
- ::error file=python/egglog/egraph.py,line=206,col=5,endLine=206,endColumn=11,title=Pyrefly inconsistent-overload::Overload return type `[P]((ParamSpec(P)) -> BaseExpr) -> (ParamSpec(P)) -> BaseExpr` is not assignable to implementation return type `[P, BASE_EXPR_NONE]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE`
+ ::error file=python/egglog/egraph.py,line=206,col=5,endLine=206,endColumn=11,title=Pyrefly inconsistent-overload::Overload return type `[P]((ParamSpec(P)) -> BaseExpr) -> (ParamSpec(P)) -> BaseExpr` is not assignable to implementation return type `[P, BASE_EXPR_NONE: BaseExpr | None]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE`
- ::error file=python/egglog/egraph.py,line=216,col=5,endLine=216,endColumn=11,title=Pyrefly inconsistent-overload::Overload return type `[P, EXPR_NONE]((ParamSpec(P)) -> EXPR_NONE) -> (ParamSpec(P)) -> EXPR_NONE` is not assignable to implementation return type `[P, BASE_EXPR_NONE]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE`
+ ::error file=python/egglog/egraph.py,line=216,col=5,endLine=216,endColumn=11,title=Pyrefly inconsistent-overload::Overload return type `[P, EXPR_NONE: Expr | None]((ParamSpec(P)) -> EXPR_NONE) -> (ParamSpec(P)) -> EXPR_NONE` is not assignable to implementation return type `[P, BASE_EXPR_NONE: BaseExpr | None]((ParamSpec(P)) -> BASE_EXPR_NONE) -> (ParamSpec(P)) -> BASE_EXPR_NONE`
ibis (https://github.com/ibis-project/ibis)
- ERROR ibis/common/deferred.py:579:5-15: Overload return type `[F](F) -> F` is not assignable to implementation return type `((func: Unknown) -> (*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown) | ((*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown)` [inconsistent-overload]
+ ERROR ibis/common/deferred.py:579:5-15: Overload return type `[F: (...) -> Unknown](F) -> F` is not assignable to implementation return type `((func: Unknown) -> (*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown) | ((*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown)` [inconsistent-overload]
- ERROR ibis/expr/operations/udf.py:155:20-71: No matching overload found for function `type.__new__` called with arguments: (type[type], str, tuple[[B](self: Self@_UDF) -> type[B]], dict[str, Argument]) [no-matching-overload]
+ ERROR ibis/expr/operations/udf.py:155:20-71: No matching overload found for function `type.__new__` called with arguments: (type[type], str, tuple[[B: Value[Unknown, Any]](self: Self@_UDF) -> type[B]], dict[str, Argument]) [no-matching-overload]
- ::error file=ibis/common/deferred.py,line=579,col=5,endLine=579,endColumn=15,title=Pyrefly inconsistent-overload::Overload return type `[F](F) -> F` is not assignable to implementation return type `((func: Unknown) -> (*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown) | ((*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown)`
+ ::error file=ibis/common/deferred.py,line=579,col=5,endLine=579,endColumn=15,title=Pyrefly inconsistent-overload::Overload return type `[F: (...) -> Unknown](F) -> F` is not assignable to implementation return type `((func: Unknown) -> (*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown) | ((*args: Unknown, **kwargs: Unknown) -> Deferred | Unknown)`
- ::error file=ibis/expr/operations/udf.py,line=155,col=20,endLine=155,endColumn=71,title=Pyrefly no-matching-overload::No matching overload found for function `type.__new__` called with arguments: (type[type], str, tuple[[B](self: Self@_UDF) -> type[B]], dict[str, Argument])%0A Possible overloads:%0A (cls: type[type], o: object, /) -> type[Any]%0A (cls: type[Self], name: str, bases: tuple[type[Any], ...], namespace: dict[str, Any], /, **kwds: Any) -> Self [closest match]
+ ::error file=ibis/expr/operations/udf.py,line=155,col=20,endLine=155,endColumn=71,title=Pyrefly no-matching-overload::No matching overload found for function `type.__new__` called with arguments: (type[type], str, tuple[[B: Value[Unknown, Any]](self: Self@_UDF) -> type[B]], dict[str, Argument])%0A Possible overloads:%0A (cls: type[type], o: object, /) -> type[Any]%0A (cls: type[Self], name: str, bases: tuple[type[Any], ...], namespace: dict[str, Any], /, **kwds: Any) -> Self [closest match]
- ::error file=ibis/expr/operations/udf.py,line=179,col=5,endLine=179,endColumn=10,title=Pyrefly bad-override::Class member `scalar._base` overrides parent class `_UDF` in an inconsistent manner%0A `scalar._base` has type `type[ScalarUDF]`, which is not assignable to `BoundMethod[scalar, [B](self: scalar) -> type[B]]`, the property getter for `_UDF._base`
+ ::error file=ibis/expr/operations/udf.py,line=179,col=5,endLine=179,endColumn=10,title=Pyrefly bad-override::Class member `scalar._base` overrides parent class `_UDF` in an inconsistent manner%0A `scalar._base` has type `type[ScalarUDF]`, which is not assignable to `BoundMethod[scalar, [B: Value[Unknown, Any]](self: scalar) -> type[B]]`, the property getter for `_UDF._base`
- ::error file=ibis/expr/operations/udf.py,line=681,col=5,endLine=681,endColumn=10,title=Pyrefly bad-override::Class member `agg._base` overrides parent class `_UDF` in an inconsistent manner%0A `agg._base` has type `type[AggUDF]`, which is not assignable to `BoundMethod[agg, [B](self: agg) -> type[B]]`, the property getter for `_UDF._base`
+ ::error file=ibis/expr/operations/udf.py,line=681,col=5,endLine=681,endColumn=10,title=Pyrefly bad-override::Class member `agg._base` overrides parent class `_UDF` in an inconsistent manner%0A `agg._base` has type `type[AggUDF]`, which is not assignable to `BoundMethod[agg, [B: Value[Unknown, Any]](self: agg) -> type[B]]`, the property getter for `_UDF._base`
paasta (https://github.com/yelp/paasta)
- ERROR paasta_tools/cli/fsm_cmd.py:44:23-45: `(*args: Unknown, **kwargs: Unknown) -> None` is not assignable to attribute `copyfile` with type `[_StrOrBytesPathT](src: StrOrBytesPath, dst: _StrOrBytesPathT, *, follow_symlinks: bool = True) -> _StrOrBytesPathT` [bad-assignment]
+ ERROR paasta_tools/cli/fsm_cmd.py:44:23-45: `(*args: Unknown, **kwargs: Unknown) -> None` is not assignable to attribute `copyfile` with type `[_StrOrBytesPathT: PathLike[bytes] | PathLike[str] | bytes | str](src: StrOrBytesPath, dst: _StrOrBytesPathT, *, follow_symlinks: bool = True) -> _StrOrBytesPathT` [bad-assignment]
- ::error file=paasta_tools/cli/fsm_cmd.py,line=44,col=23,endLine=44,endColumn=45,title=Pyrefly bad-assignment::`(*args: Unknown, **kwargs: Unknown) -> None` is not assignable to attribute `copyfile` with type `[_StrOrBytesPathT](src: StrOrBytesPath, dst: _StrOrBytesPathT, *, follow_symlinks: bool = True) -> _StrOrBytesPathT`
+ ::error file=paasta_tools/cli/fsm_cmd.py,line=44,col=23,endLine=44,endColumn=45,title=Pyrefly bad-assignment::`(*args: Unknown, **kwargs: Unknown) -> None` is not assignable to attribute `copyfile` with type `[_StrOrBytesPathT: PathLike[bytes] | PathLike[str] | bytes | str](src: StrOrBytesPath, dst: _StrOrBytesPathT, *, follow_symlinks: bool = True) -> _StrOrBytesPathT`
strawberry (https://github.com/strawberry-graphql/strawberry)
- ERROR strawberry/federation/object_type.py:128:5-9: Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
+ ERROR strawberry/federation/object_type.py:128:5-9: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
- ERROR strawberry/federation/object_type.py:199:5-10: Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
+ ERROR strawberry/federation/object_type.py:199:5-10: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
- ERROR strawberry/federation/object_type.py:259:5-14: Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
+ ERROR strawberry/federation/object_type.py:259:5-14: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
- ERROR strawberry/federation/object_type.py:328:5-21: Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
+ ERROR strawberry/federation/object_type.py:328:5-21: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]` [inconsistent-overload]
- ERROR strawberry/types/object_type.py:331:5-10: Overload return type `[T](T) -> T` is not assignable to implementation return type `type | Unknown` [inconsistent-overload]
+ ERROR strawberry/types/object_type.py:331:5-10: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type | Unknown` [inconsistent-overload]
- ERROR strawberry/types/object_type.py:409:5-14: Overload return type `[T](T) -> T` is not assignable to implementation return type `type | Unknown` [inconsistent-overload]
+ ERROR strawberry/types/object_type.py:409:5-14: Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type | Unknown` [inconsistent-overload]
- ::error file=strawberry/federation/object_type.py,line=128,col=5,endLine=128,endColumn=9,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]`
+ ::error file=strawberry/federation/object_type.py,line=128,col=5,endLine=128,endColumn=9,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]`
- ::error file=strawberry/federation/object_type.py,line=199,col=5,endLine=199,endColumn=10,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]`
+ ::error file=strawberry/federation/object_type.py,line=199,col=5,endLine=199,endColumn=10,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]`
- ::error file=strawberry/federation/object_type.py,line=259,col=5,endLine=259,endColumn=14,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]`
+ ::error file=strawberry/federation/object_type.py,line=259,col=5,endLine=259,endColumn=14,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]`
- ::error file=strawberry/federation/object_type.py,line=328,col=5,endLine=328,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type[Any]`
+ ::error file=strawberry/federation/object_type.py,line=328,col=5,endLine=328,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type[Any]`
- ::error file=strawberry/types/object_type.py,line=331,col=5,endLine=331,endColumn=10,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type | Unknown`
+ ::error file=strawberry/types/object_type.py,line=331,col=5,endLine=331,endColumn=10,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type | Unknown`
- ::error file=strawberry/types/object_type.py,line=409,col=5,endLine=409,endColumn=14,title=Pyrefly inconsistent-overload::Overload return type `[T](T) -> T` is not assignable to implementation return type `type | Unknown`
+ ::error file=strawberry/types/object_type.py,line=409,col=5,endLine=409,endColumn=14,title=Pyrefly inconsistent-overload::Overload return type `[T: type[Any]](T) -> T` is not assignable to implementation return type `type | Unknown`
Expression (https://github.com/cognitedata/Expression)
- ERROR expression/extra/result/catch.py:16:5-10: Implementation signature `(f: ((...) -> _TSource) | None = None, *, exception: type[_TError]) -> ((...) -> _TSource) -> ((...) -> Result[_TSource, _TError]) | Result[_TSource, _TError]` does not accept all arguments that overload signature `(exception: type[_TError_]) -> [_TSource, _TError]((...) -> Result[_TSource, _TError] | _TSource) -> (...) -> Result[_TSource, _TError | _TError_]` accepts [inconsistent-overload]
+ ERROR expression/extra/result/catch.py:16:5-10: Implementation signature `(f: ((...) -> _TSource) | None = None, *, exception: type[_TError]) -> ((...) -> _TSource) -> ((...) -> Result[_TSource, _TError]) | Result[_TSource, _TError]` does not accept all arguments that overload signature `(exception: type[_TError_]) -> [_TSource, _TError: Exception]((...) -> Result[_TSource, _TError] | _TSource) -> (...) -> Result[_TSource, _TError | _TError_]` accepts [inconsistent-overload]
- ::error file=expression/extra/result/catch.py,line=16,col=5,endLine=16,endColumn=10,title=Pyrefly inconsistent-overload::Implementation signature `(f: ((...) -> _TSource) | None = None, *, exception: type[_TError]) -> ((...) -> _TSource) -> ((...) -> Result[_TSource, _TError]) | Result[_TSource, _TError]` does not accept all arguments that overload signature `(exception: type[_TError_]) -> [_TSource, _TError]((...) -> Result[_TSource, _TError] | _TSource) -> (...) -> Result[_TSource, _TError | _TError_]` accepts%0A Positional parameter name mismatch: got `f`, want `exception`
+ ::error file=expression/extra/result/catch.py,line=16,col=5,endLine=16,endColumn=10,title=Pyrefly inconsistent-overload::Implementation signature `(f: ((...) -> _TSource) | None = None, *, exception: type[_TError]) -> ((...) -> _TSource) -> ((...) -> Result[_TSource, _TError]) | Result[_TSource, _TError]` does not accept all arguments that overload signature `(exception: type[_TError_]) -> [_TSource, _TError: Exception]((...) -> Result[_TSource, _TError] | _TSource) -> (...) -> Result[_TSource, _TError | _TError_]` accepts%0A Positional parameter name mismatch: got `f`, want `exception`
hydpy (https://github.com/hydpy-dev/hydpy)
- ERROR hydpy/core/importtools.py:361:5-21: Overload return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` [inconsistent-overload]
+ ERROR hydpy/core/importtools.py:361:5-21: Overload return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` [inconsistent-overload]
- ERROR hydpy/core/importtools.py:377:5-21: Overload return type `[TM_contra](PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` [inconsistent-overload]
+ ERROR hydpy/core/importtools.py:377:5-21: Overload return type `[TM_contra: Model](PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` [inconsistent-overload]
- ::error file=hydpy/core/importtools.py,line=361,col=5,endLine=361,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]`%0A `PrepSub1D[TM_contra, SubmodelInterface].__call__` has type `BoundMethod[PrepSub1D[TM_contra, @_], (self: PrepSub1D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, position: int, refresh: bool) -> None]`, which is not assignable to `BoundMethod[PrepSub1D[TM_contra, @_], (self: PrepSub1D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, refresh: bool) -> None]`, the type of `PrepSub0D.__call__`
+ ::error file=hydpy/core/importtools.py,line=361,col=5,endLine=361,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[0], TM_contra, SubmodelInterface]`%0A `PrepSub1D[TM_contra, SubmodelInterface].__call__` has type `BoundMethod[PrepSub1D[TM_contra, @_], (self: PrepSub1D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, position: int, refresh: bool) -> None]`, which is not assignable to `BoundMethod[PrepSub1D[TM_contra, @_], (self: PrepSub1D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, refresh: bool) -> None]`, the type of `PrepSub0D.__call__`
- ::error file=hydpy/core/importtools.py,line=377,col=5,endLine=377,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[TM_contra](PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]`%0A `PrepSub0D[TM_contra, SubmodelInterface].__call__` has type `BoundMethod[PrepSub0D[TM_contra, @_], (self: PrepSub0D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, refresh: bool) -> None]`, which is not assignable to `BoundMethod[PrepSub0D[TM_contra, @_], (self: PrepSub0D[TM_contra, SubmodelInterface], model: @_, submodel: SubmodelInterface, /, *, position: int, refresh: bool) -> None]`, the type of `PrepSub1D.__call__`
+ ::error file=hydpy/core/importtools.py,line=377,col=5,endLine=377,endColumn=21,title=Pyrefly inconsistent-overload::Overload return type `[TM_contra: Model](PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]` is not assignable to implementation return type `[TM_contra: Model](PrepSub0D[TM_contra, SubmodelInterface] | PrepSub1D[TM_contra, SubmodelInterface]) -> SubmodelAdder[Literal[1], TM_contra, SubmodelInterface]`%0A `PrepSub0D[TM_contra, SubmodelInterface].__call__` has type `BoundMethod[PrepSub0D[TM_contra, @_], (self: PrepSub0D[TM_contra, SubmodelInterface], model: TM_contra, submodel: SubmodelInterface, /, *, refresh: bool) -> None]`, which is not assignable to `BoundMethod[PrepSub0D[TM_contra, @_], (self: PrepSub0D[TM_contra, SubmodelInterface], model: @_, submodel: SubmodelInterface, /, *, position: int, refresh: bool) -> None]`, the type of `PrepSub1D.__call__`
xarray (https://github.com/pydata/xarray)
- [T_DataArray](darray: T_DataArray, x: Hashable | None = None, y: Hashable | None = None, *, figsize: Iterable[float] | None = None, size: float | None = None, aspect: AspectOptions = None, ax: Unknown | None = None, row: Hashable | None = None, col: Hashable, col_wrap: int | None = None, xincrease: bool | None = True, yincrease: bool | None = True, add_colorbar: bool | None = None, add_labels: bool = True, vmin: float | None = None, vmax: float | None = None, cmap: str | Unknown | None = None, center: Literal[False] | float | None = None, robust: bool = False, extend: ExtendOptions = None, levels: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, infer_intervals: Unknown | None = None, colors: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, subplot_kws: dict[str, Any] | None = None, cbar_ax: Unknown | None = None, cbar_kwargs: dict[str, Any] | None = None, xscale: ScaleOptions = None, yscale: ScaleOptions = None, xticks: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, yticks: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, xlim: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, ylim: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, norm: Unknown | None = None, **kwargs: Any) -> FacetGrid[T_DataArray]
+ [T_DataArray: DataArray](darray: T_DataArray, x: Hashable | None = None, y: Hashable | None = None, *, figsize: Iterable[float] | None = None, size: float | None = None, aspect: AspectOptions = None, ax: Unknown | None = None, row: Hashable | None = None, col: Hashable, col_wrap: int | None = None, xincrease: bool | None = True, yincrease: bool | None = True, add_colorbar: bool | None = None, add_labels: bool = True, vmin: float | None = None, vmax: float | None = None, cmap: str | Unknown | None = None, center: Literal[False] | float | None = None, robust: bool = False, extend: ExtendOptions = None, levels: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, infer_intervals: Unknown | None = None, colors: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, subplot_kws: dict[str, Any] | None = None, cbar_ax: Unknown | None = None, cbar_kwargs: dict[str, Any] | None = None, xscale: ScaleOptions = None, yscale: ScaleOptions = None, xticks: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, yticks: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, xlim: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, ylim: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None = None, norm: Unknown | None = None, **kwargs: Any) -> FacetGrid[T_DataArray]
... (truncated 183 lines) ...``` |
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@yangdanny97 has imported this pull request. If you are a Meta employee, you can view this in D91234823. |
stroxler
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Jan 22, 2026
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Thanks Adrian! |
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@yangdanny97 merged this pull request in a557539. |
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Summary
Display type variable bounds, constraints, and defaults when formatting forall types. Previously,
reveal_typeshowed identical signatures for functions with different type variable restrictions:Now the bounds are shown:
Also supports:
[T: (str, int)][T = int][T: str = str]Fixes #2179
Test Plan