fix the diagnosis of typing error of decorator is very hard to read. #1115 by asukaminato0721 · Pull Request #2466 · facebook/pyrefly

asukaminato0721 · 2026-02-19T18:33:06Z

Summary

Fixed union alias display so non-generic union type aliases keep their name in nested type positions, which makes decorator error messages readable.

Test Plan

add tests to check this.

Copilot

Pull request overview

This PR fixes the readability of decorator error messages by preserving union type alias names in nested type positions. Previously, union type aliases like ResponseReturnValue = int | str | bytes | dict[str, int] | list[int] would be fully expanded in error messages, making them extremely difficult to read. Now, non-generic union type aliases maintain their names, resulting in more concise and readable error messages.

Changes:

Modified wrap_type_alias in solve.rs to set display names on non-generic union type aliases
Added test to verify union alias names are preserved in callable return types
Added test to verify decorator error messages use union alias names instead of fully expanded types

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File	Description
pyrefly/lib/alt/solve.rs	Added logic to set display_name on non-generic union type aliases and their Type-wrapped variants
pyrefly/lib/test/type_alias.rs	Added test verifying union alias names appear in reveal_type output for callable return types
pyrefly/lib/test/decorators.rs	Added test verifying decorator error messages use union alias names for better readability

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meta-codesync · 2026-02-23T23:18:40Z

@rchen152 has imported this pull request. If you are a Meta employee, you can view this in D94140251.

rchen152

What issue does this fix? I put the newly added tests (1, 2) in the pyrefly sandbox, and the existing behavior and the behavior with this PR are the same.

asukaminato0721 · 2026-02-24T08:19:20Z

old

ERROR Argument `(*args: Unknown, **kwargs: Unknown) -> bytes | dict[str, Any] | int | list[Any] | str | tuple[bytes | dict[str, Any] | list[Any] | str, int] | tuple[bytes | dict[str, Any] | list[Any] | str, int, dict[str, str] | list[tuple[str, str]]]` is not assignable to parameter `view` with type `(...) -> int` in function `controllers.console.wraps.setup_required` [bad-argument-type]
 --> controllers/console/app/mcp_server.py:7:1
  |
7 | @setup_required  # E: Argument `(*args: Unknown, **kwargs: Unknown) -> ResponseReturnValue | int` is not assignable to parameter `vie...
  | ^^^^^^^^^^^^^^^
  |
Error: Expectations failed for in-memory controllers/console/app/mcp_server.py: can't find error (line 7): Argument `(*args: Unknown, **kwargs: Unknown) -> ResponseReturnValue | int` is not assignable to parameter `view` with type `(...) -> int` in function `controllers.console.wraps.setup_required`


failures:
    test::decorators::test_decorator_error_uses_external_union_alias

test result: FAILED. 0 passed; 1 failed; 0 ignored; 0 measured; 4030 filtered out; finished in 0.68s

error: test failed, to rerun pass `-p pyrefly --lib`

new pass.

github-actions · 2026-02-24T09:58:04Z

Diff from mypy_primer, showing the effect of this PR on open source code:

trio (https://github.com/python-trio/trio)
- ERROR src/trio/_socket.py:1306:17-46: Argument `(self: socket, buffers: Iterable[Buffer], ancdata: Iterable[tuple[int, int, Buffer]] = ..., flags: int = 0, address: Buffer | str | tuple[Any, ...] | None = None, /) -> int` is not assignable to parameter `fn` with type `(socket, ParamSpec(ParamSpec[P])) -> TypeVar[T]` in function `_SocketType._nonblocking_helper` [bad-argument-type]
+ ERROR src/trio/_socket.py:1306:17-46: Argument `(self: socket, buffers: Iterable[Buffer], ancdata: Iterable[tuple[int, int, Buffer]] = ..., flags: int = 0, address: _Address | None = None, /) -> int` is not assignable to parameter `fn` with type `(socket, ParamSpec(ParamSpec[P])) -> TypeVar[T]` in function `_SocketType._nonblocking_helper` [bad-argument-type]

colour (https://github.com/colour-science/colour)
- ERROR colour/plotting/common.py:1329:27-44: No matching overload found for function `list.__init__` called with arguments: (Buffer | Sequence[Buffer | ColourSwatch | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str] | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str) [no-matching-overload]
+ ERROR colour/plotting/common.py:1329:27-44: No matching overload found for function `list.__init__` called with arguments: (Buffer | Sequence[ArrayLike | ColourSwatch] | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str) [no-matching-overload]
- ERROR colour/plotting/volume.py:752:47-59: Argument `RGB_Colourspace | Sequence[RGB_Colourspace | str] | str | None` is not assignable to parameter `value` with type `RGB_Colourspace | None` in function `colour.utilities.common.optional` [bad-argument-type]
+ ERROR colour/plotting/volume.py:752:47-59: Argument `RGB_Colourspace | Sequence[LiteralRGBColourspace | RGB_Colourspace | str] | str | None` is not assignable to parameter `value` with type `RGB_Colourspace | None` in function `colour.utilities.common.optional` [bad-argument-type]

core (https://github.com/home-assistant/core)
- ERROR homeassistant/components/go2rtc/__init__.py:260:45-69: Unpacked argument `tuple[Literal['go2rtc']]` is not assignable to parameter `*args` with type `tuple[StrPath, int, PathLike[str] | str | None]` in function `homeassistant.core.HomeAssistant.async_add_executor_job` [bad-argument-type]
+ ERROR homeassistant/components/go2rtc/__init__.py:260:45-69: Unpacked argument `tuple[Literal['go2rtc']]` is not assignable to parameter `*args` with type `tuple[StrPath, int, StrPath | None]` in function `homeassistant.core.HomeAssistant.async_add_executor_job` [bad-argument-type]
- ERROR homeassistant/core.py:2559:32-2567:10: Unpacked argument `tuple[str, str, (ServiceCall) -> Coroutine[Any, Any, ServiceResponse] | dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None, Schema | None, SupportsResponse]` is not assignable to parameter `*args` with type `tuple[str, str, (ServiceCall) -> Coroutine[Any, Any, dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | dict[str, dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None] | None] | dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | dict[str, dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None] | None, All | Any | Schema | None, SupportsResponse, HassJobType | None, Mapping[str, str] | None]` in function `homeassistant.util.async_.run_callback_threadsafe` [bad-argument-type]
+ ERROR homeassistant/core.py:2559:32-2567:10: Unpacked argument `tuple[str, str, (ServiceCall) -> Coroutine[Any, Any, ServiceResponse] | dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None, Schema | None, SupportsResponse]` is not assignable to parameter `*args` with type `tuple[str, str, (ServiceCall) -> Coroutine[Any, Any, ServiceResponse | dict[str, dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None]] | dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | dict[str, dict[str, bool | dict[str, JsonValueType] | float | int | list[JsonValueType] | str | None] | None] | None, VolSchemaType | None, SupportsResponse, HassJobType | None, Mapping[str, str] | None]` in function `homeassistant.util.async_.run_callback_threadsafe` [bad-argument-type]
- ERROR homeassistant/helpers/intent.py:984:31-991:14: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[Required, ((Any) -> Any) | All | Any | Schema]) [no-matching-overload]
+ ERROR homeassistant/helpers/intent.py:984:31-991:14: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[Required, VolSchemaType | (Any) -> Any]) [no-matching-overload]
- ERROR homeassistant/helpers/intent.py:994:31-1001:14: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[Optional, ((Any) -> Any) | All | Any | Schema]) [no-matching-overload]
+ ERROR homeassistant/helpers/intent.py:994:31-1001:14: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[Optional, VolSchemaType | (Any) -> Any]) [no-matching-overload]

dd-trace-py (https://github.com/DataDog/dd-trace-py)
- ERROR tests/internal/test_auto.py:38:36-40: `None` is not assignable to attribute `create_connection` with type `(address: tuple[str | None, int], timeout: float | None = ..., source_address: Buffer | str | tuple[Any, ...] | None = None, *, all_errors: bool = False) -> socket` [bad-assignment]
+ ERROR tests/internal/test_auto.py:38:36-40: `None` is not assignable to attribute `create_connection` with type `(address: tuple[str | None, int], timeout: float | None = ..., source_address: _Address | None = None, *, all_errors: bool = False) -> socket` [bad-assignment]

pydantic (https://github.com/pydantic/pydantic)
- ERROR pydantic/_internal/_validate_call.py:127:54-79: `((input: Any, *, strict: bool | None = None, extra: Literal['allow', 'forbid', 'ignore'] | None = None, from_attributes: bool | None = None, context: Any | None = None, self_instance: Any | None = None, allow_partial: Literal['off', 'on', 'trailing-strings'] | bool = False, by_alias: bool | None = None, by_name: bool | None = None) -> Any) | (self: SchemaValidator, input: Any, *, strict: bool | None = None, extra: Literal['allow', 'forbid', 'ignore'] | None = None, from_attributes: bool | None = None, context: Any | None = None, self_instance: Any | None = None, allow_partial: Literal['off', 'on', 'trailing-strings'] | bool = False, by_alias: bool | None = None, by_name: bool | None = None) -> Any` is not assignable to attribute `__return_pydantic_validator__` with type `(aw: Awaitable[Any]) -> Coroutine[Unknown, Unknown, None]` [bad-assignment]
+ ERROR pydantic/_internal/_validate_call.py:127:54-79: `((input: Any, *, strict: bool | None = None, extra: ExtraBehavior | None = None, from_attributes: bool | None = None, context: Any | None = None, self_instance: Any | None = None, allow_partial: Literal['off', 'on', 'trailing-strings'] | bool = False, by_alias: bool | None = None, by_name: bool | None = None) -> Any) | (self: SchemaValidator, input: Any, *, strict: bool | None = None, extra: ExtraBehavior | None = None, from_attributes: bool | None = None, context: Any | None = None, self_instance: Any | None = None, allow_partial: Literal['off', 'on', 'trailing-strings'] | bool = False, by_alias: bool | None = None, by_name: bool | None = None) -> Any` is not assignable to attribute `__return_pydantic_validator__` with type `(aw: Awaitable[Any]) -> Coroutine[Unknown, Unknown, None]` [bad-assignment]

discord.py (https://github.com/Rapptz/discord.py)
- ERROR discord/state.py:551:16-98: Returned type `tuple[CategoryChannel | DMChannel | ForumChannel | Guild | PartialMessageable | StageChannel | TextChannel | Thread | VoiceChannel, Guild | None]` is not assignable to declared return type `tuple[CategoryChannel | ForumChannel | PartialMessageable | PrivateChannel | StageChannel | TextChannel | Thread | VoiceChannel, Guild | None]` [bad-return]
+ ERROR discord/state.py:551:16-98: Returned type `tuple[CategoryChannel | DMChannel | ForumChannel | Guild | PartialMessageable | StageChannel | TextChannel | Thread | VoiceChannel, Guild | None]` is not assignable to declared return type `tuple[Channel | Thread, Guild | None]` [bad-return]

setuptools (https://github.com/pypa/setuptools)
- ERROR setuptools/_vendor/packaging/markers.py:144:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[Literal['and', 'or'] | Sequence[MarkerAtom] | tuple[Value | Variable, Op, Value | Variable] | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]
+ ERROR setuptools/_vendor/packaging/markers.py:144:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[MarkerLogical | MarkerAtom | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]

bokeh (https://github.com/bokeh/bokeh)
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]
-   (object: Any, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | 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[Any]]
+   (object: Any, dtype: DTypeLike | 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[Any]]

aioredis (https://github.com/aio-libs/aioredis)
- ERROR aioredis/connection.py:441:16-24: Returned type `bytes | float | int | list[ResponseError | bytes | float | int | memoryview[int] | str | None] | memoryview[int] | str` is not assignable to declared return type `ResponseError | bytes | float | int | memoryview[int] | str | None` [bad-return]
+ ERROR aioredis/connection.py:441:16-24: Returned type `bytes | float | int | list[EncodableT | ResponseError | None] | memoryview[int] | str` is not assignable to declared return type `ResponseError | bytes | float | int | memoryview[int] | str | None` [bad-return]

static-frame (https://github.com/static-frame/static-frame)
- ERROR static_frame/core/container_util.py:1727:13-29: Argument `list[ndarray[tuple[Any, ...], dtype[Any]]] | list[ndarray[Any, Any]]` is not assignable to parameter `labels` with type `Iterable[Hashable | Sequence[TLabel] | builtins.bool | numpy.bool[builtins.bool] | bytes | complex | date | datetime | datetime64[date | int | None] | float | inexact[Any, complex | float] | int | integer[Any] | str | timedelta64[int | timedelta | None] | tuple[TLabel, ...] | None]` in function `static_frame.core.index_base.IndexBase.from_labels` [bad-argument-type]
+ ERROR static_frame/core/container_util.py:1727:13-29: Argument `list[ndarray[tuple[Any, ...], dtype[Any]]] | list[ndarray[Any, Any]]` is not assignable to parameter `labels` with type `Iterable[TLabel | Sequence[TLabel]]` in function `static_frame.core.index_base.IndexBase.from_labels` [bad-argument-type]
- ERROR static_frame/core/display.py:909:36-70: `ndarray[tuple[Any, ...], Any]` is not assignable to upper bound `numpy.bool[builtins.bool] | datetime64[date | int | None] | flexible[bytes | str | tuple[Any, ...]] | number[Any, complex | float | int] | timedelta64[int | timedelta | None]` of type variable `_NonObjectScalarT` [bad-specialization]
+ ERROR static_frame/core/display.py:909:36-70: `ndarray[tuple[Any, ...], Any]` is not assignable to upper bound `numpy.bool[builtins.bool] | datetime64[date | int | None] | flexible[_CharLike_co | tuple[Any, ...]] | number[Any, complex | float | int] | timedelta64[int | timedelta | None]` of type variable `_NonObjectScalarT` [bad-specialization]
- ERROR static_frame/core/frame.py:10433:19-10439:14: `tuple[int | integer[Any] | list[int] | ndarray[Any, Any] | slice[Any, Any, Any] | None, Frame[Any, Any, *tuple[Any, ...]] | Hashable | IndexBase | Series[Any, Any] | builtins.bool | numpy.bool[builtins.bool] | bytes | complex | date | datetime | datetime64[date | int | None] | float | inexact[Any, complex | float] | int | integer[Any] | list[Hashable | builtins.bool | numpy.bool[builtins.bool] | bytes | complex | date | datetime | datetime64[date | int | None] | float | inexact[Any, complex | float] | int | integer[Any] | str | timedelta64[int | timedelta | None] | tuple[TLabel, ...] | None] | list[int] | list[str] | ndarray[Any, Any] | slice[Any, Any, Any] | str | timedelta64[int | timedelta | None] | tuple[TLabel, ...] | None]` is not assignable to variable `key` with type `tuple[TILocSelector, TILocSelector]` [bad-assignment]
+ ERROR static_frame/core/frame.py:10433:19-10439:14: `tuple[int | integer[Any] | list[int] | ndarray[Any, Any] | slice[Any, Any, Any] | None, TLocSelector | Frame[Any, Any, *tuple[Any, ...]]]` is not assignable to variable `key` with type `tuple[TILocSelector, TILocSelector]` [bad-assignment]
- ERROR static_frame/test/unit/test_reduce.py:862:76-90: Argument `tuple[tuple[Literal[0], Overload[[_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None = None, *, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, *, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, (a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT]]]` is not assignable to parameter `iloc_to_func` with type `list[tuple[TILocSelectorOne, (...) -> ndarray[Any, Any]]]` in function `static_frame.core.reduce.ReduceAxis._derive_row_dtype_array` [bad-argument-type]
- ERROR static_frame/test/unit/test_reduce.py:869:43-69: Argument `tuple[tuple[Literal[0], Overload[[_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None = None, *, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, *, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, (a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: Sequence[SupportsIndex] | SupportsIndex | None = None, dtype: _HasDType[dtype[Any]] | _HasNumPyDType[dtype[Any]] | dtype[Any] | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NoValueType | numpy.bool[builtins.bool] | complex | number[Any, complex | float | int] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT]], tuple[Literal[1], Overload[(a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: None = None, out: None = None, keepdims: Literal[0, False] | _NoValueType = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> numpy.bool[builtins.bool], (a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None = None, out: None = None, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT]]]` is not assignable to parameter `iloc_to_func` with type `list[tuple[TILocSelectorOne, (...) -> ndarray[Any, Any]]]` in function `static_frame.core.reduce.ReduceAxis._derive_row_dtype_array` [bad-argument-type]
+ ERROR static_frame/test/unit/test_reduce.py:862:76-90: Argument `tuple[tuple[Literal[0], Overload[[_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None = None, *, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: _ShapeLike | None, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: _ShapeLike | None = None, *, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, (a: ArrayLike, axis: _ShapeLike | None = None, dtype: DTypeLike | None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: _ShapeLike | None = None, dtype: DTypeLike | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT]]]` is not assignable to parameter `iloc_to_func` with type `list[tuple[TILocSelectorOne, (...) -> ndarray[Any, Any]]]` in function `static_frame.core.reduce.ReduceAxis._derive_row_dtype_array` [bad-argument-type]
+ ERROR static_frame/test/unit/test_reduce.py:869:43-69: Argument `tuple[tuple[Literal[0], Overload[[_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: _ArrayLike, axis: None = None, dtype: None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: None = None, *, dtype: _DTypeLike, out: None = None, keepdims: Literal[False] | _NoValueType = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: _ShapeLike | None, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, [_ScalarT: generic[Any]](a: ArrayLike, axis: _ShapeLike | None = None, *, dtype: _DTypeLike, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> ndarray[tuple[Any, ...], dtype[_ScalarT]] | _ScalarT, (a: ArrayLike, axis: _ShapeLike | None = None, dtype: DTypeLike | None = None, out: None = None, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: _ShapeLike | None, dtype: DTypeLike | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: ArrayLike, axis: _ShapeLike | None = None, dtype: DTypeLike | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool = ..., initial: _NumberLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT]], tuple[Literal[1], Overload[(a: ArrayLike | None, axis: None = None, out: None = None, keepdims: Literal[0, False] | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> numpy.bool[builtins.bool], (a: ArrayLike | None, axis: int | tuple[int, ...] | None = None, out: None = None, keepdims: _BoolLike_co | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> Any, [_ArrayT: ndarray[Any, Any]](a: ArrayLike | None, axis: int | tuple[int, ...] | None, out: _ArrayT, keepdims: _BoolLike_co | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT, [_ArrayT: ndarray[Any, Any]](a: ArrayLike | None, axis: int | tuple[int, ...] | None = None, *, out: _ArrayT, keepdims: _BoolLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT]]]` is not assignable to parameter `iloc_to_func` with type `list[tuple[TILocSelectorOne, (...) -> ndarray[Any, Any]]]` in function `static_frame.core.reduce.ReduceAxis._derive_row_dtype_array` [bad-argument-type]
-   (a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: None = None, out: None = None, keepdims: Literal[0, False] | _NoValueType = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> numpy.bool[builtins.bool]
-   (a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None = None, out: None = None, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> Any
-   [_ArrayT: ndarray[Any, Any]](a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None, out: _ArrayT, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., *, where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT
-   [_ArrayT: ndarray[Any, Any]](a: Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str | None, axis: int | tuple[int, ...] | None = None, *, out: _ArrayT, keepdims: _NoValueType | builtins.bool | numpy.bool[builtins.bool] = ..., where: _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | _NestedSequence[builtins.bool] | _NoValueType | _SupportsArray[dtype[numpy.bool[builtins.bool]]] | builtins.bool = ...) -> _ArrayT
+   (a: ArrayLike | None, axis: None = None, out: None = None, keepdims: Literal[0, False] | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> numpy.bool[builtins.bool]
+   (a: ArrayLike | None, axis: int | tuple[int, ...] | None = None, out: None = None, keepdims: _BoolLike_co | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> Any
+   [_ArrayT: ndarray[Any, Any]](a: ArrayLike | None, axis: int | tuple[int, ...] | None, out: _ArrayT, keepdims: _BoolLike_co | _NoValueType = ..., *, where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT
+   [_ArrayT: ndarray[Any, Any]](a: ArrayLike | None, axis: int | tuple[int, ...] | None = None, *, out: _ArrayT, keepdims: _BoolLike_co | _NoValueType = ..., where: _ArrayLikeBool_co | _NoValueType = ...) -> _ArrayT

prefect (https://github.com/PrefectHQ/prefect)
- ERROR src/prefect/runner/runner.py:468:17-31: Argument `(self: Self@Runner, flow: Flow[Ellipsis, Any], name: str | None = None, interval: Iterable[float | int | timedelta] | float | int | timedelta | None = None, cron: Iterable[str] | str | None = None, rrule: Iterable[str] | str | None = None, paused: bool | None = None, schedule: Schedule | None = None, schedules: Sequence[CronSchedule | DeploymentScheduleCreate | IntervalSchedule | NoSchedule | RRuleSchedule | Schedule | dict[str, Any]] | None = None, concurrency_limit: ConcurrencyLimitConfig | int | None = None, parameters: dict[str, Any] | None = None, triggers: list[CompoundTrigger | DeploymentCompoundTrigger | DeploymentEventTrigger | DeploymentMetricTrigger | DeploymentSequenceTrigger | EventTrigger | MetricTrigger | SequenceTrigger] | None = None, description: str | None = None, tags: list[str] | None = None, version: str | None = None, enforce_parameter_schema: bool = True, entrypoint_type: EntrypointType = EntrypointType.FILE_PATH) -> Coroutine[Unknown, Unknown, UUID]` is not assignable to parameter with type `(flow: Flow[Ellipsis, Any], name: str | None = None, interval: Iterable[float | int | timedelta] | float | int | timedelta | None = None, cron: Iterable[str] | str | None = None, rrule: Iterable[str] | str | None = None, paused: bool | None = None, schedule: Schedule | None = None, schedules: Sequence[CronSchedule | DeploymentScheduleCreate | IntervalSchedule | NoSchedule | RRuleSchedule | Schedule | dict[str, Any]] | None = None, concurrency_limit: ConcurrencyLimitConfig | int | None = None, parameters: dict[str, Any] | None = None, triggers: list[CompoundTrigger | DeploymentCompoundTrigger | DeploymentEventTrigger | DeploymentMetricTrigger | DeploymentSequenceTrigger | EventTrigger | MetricTrigger | SequenceTrigger] | None = None, description: str | None = None, tags: list[str] | None = None, version: str | None = None, enforce_parameter_schema: bool = True, entrypoint_type: EntrypointType = EntrypointType.FILE_PATH) -> Awaitable[Awaitable[Unknown] | Unknown] | Awaitable[Unknown] | Unknown` in function `prefect._internal.concurrency.api.create_call` [bad-argument-type]
+ ERROR src/prefect/runner/runner.py:468:17-31: Argument `(self: Self@Runner, flow: Flow[Ellipsis, Any], name: str | None = None, interval: Iterable[float | int | timedelta] | float | int | timedelta | None = None, cron: Iterable[str] | str | None = None, rrule: Iterable[str] | str | None = None, paused: bool | None = None, schedule: Schedule | None = None, schedules: Sequence[SCHEDULE_TYPES | DeploymentScheduleCreate | Schedule | dict[str, Any]] | None = None, concurrency_limit: ConcurrencyLimitConfig | int | None = None, parameters: dict[str, Any] | None = None, triggers: list[CompoundTrigger | DeploymentCompoundTrigger | DeploymentEventTrigger | DeploymentMetricTrigger | DeploymentSequenceTrigger | EventTrigger | MetricTrigger | SequenceTrigger] | None = None, description: str | None = None, tags: list[str] | None = None, version: str | None = None, enforce_parameter_schema: bool = True, entrypoint_type: EntrypointType = EntrypointType.FILE_PATH) -> Coroutine[Unknown, Unknown, UUID]` is not assignable to parameter with type `(flow: Flow[Ellipsis, Any], name: str | None = None, interval: Iterable[float | int | timedelta] | float | int | timedelta | None = None, cron: Iterable[str] | str | None = None, rrule: Iterable[str] | str | None = None, paused: bool | None = None, schedule: Schedule | None = None, schedules: Sequence[SCHEDULE_TYPES | DeploymentScheduleCreate | Schedule | dict[str, Any]] | None = None, concurrency_limit: ConcurrencyLimitConfig | int | None = None, parameters: dict[str, Any] | None = None, triggers: list[CompoundTrigger | DeploymentCompoundTrigger | DeploymentEventTrigger | DeploymentMetricTrigger | DeploymentSequenceTrigger | EventTrigger | MetricTrigger | SequenceTrigger] | None = None, description: str | None = None, tags: list[str] | None = None, version: str | None = None, enforce_parameter_schema: bool = True, entrypoint_type: EntrypointType = EntrypointType.FILE_PATH) -> Awaitable[Awaitable[Unknown] | Unknown] | Awaitable[Unknown] | Unknown` in function `prefect._internal.concurrency.api.create_call` [bad-argument-type]

pip (https://github.com/pypa/pip)
- ERROR src/pip/_vendor/packaging/markers.py:144:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[Literal['and', 'or'] | Sequence[MarkerAtom] | tuple[Value | Variable, Op, Value | Variable] | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]
+ ERROR src/pip/_vendor/packaging/markers.py:144:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[MarkerLogical | MarkerAtom | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]

cryptography (https://github.com/pyca/cryptography)
- ERROR src/cryptography/x509/extensions.py:1561:20-43: Returned type `list[IPv4Address | IPv4Network | IPv6Address | IPv6Network | Name | ObjectIdentifier | bytes | str]` is not assignable to declared return type `list[_IPAddressTypes] | list[Name] | list[ObjectIdentifier] | list[OtherName] | list[str]` [bad-return]
+ ERROR src/cryptography/x509/extensions.py:1561:20-43: Returned type `list[_IPAddressTypes | Name | ObjectIdentifier | bytes | str]` is not assignable to declared return type `list[_IPAddressTypes] | list[Name] | list[ObjectIdentifier] | list[OtherName] | list[str]` [bad-return]

jax (https://github.com/google/jax)
- ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:1565:32-58: Argument `Sequence[Blocked | BoundedSlice | Element | Squeezed | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
+ ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:1565:32-58: Argument `Sequence[BlockDim | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
- ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:1569:25-44: Argument `Sequence[Blocked | BoundedSlice | Element | Squeezed | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
+ ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:1569:25-44: Argument `Sequence[BlockDim | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
- ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2114:32-58: Argument `Sequence[Blocked | BoundedSlice | Element | Squeezed | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
+ ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2114:32-58: Argument `Sequence[BlockDim | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
- ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2119:25-44: Argument `Sequence[Blocked | BoundedSlice | Element | Squeezed | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
+ ERROR jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2119:25-44: Argument `Sequence[BlockDim | int | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]

optuna (https://github.com/optuna/optuna)
- ERROR tutorial/20_recipes/006_user_defined_pruner.py:130:16-25: Argument `(trial: Unknown) -> Literal[0] | float | float64 | floating[_16Bit] | floating[_32Bit]` is not assignable to parameter `func` with type `(Trial) -> Sequence[float] | float` in function `optuna.study.study.Study.optimize` [bad-argument-type]
+ ERROR tutorial/20_recipes/006_user_defined_pruner.py:130:16-25: Argument `(trial: Unknown) -> Float | Literal[0]` is not assignable to parameter `func` with type `(Trial) -> Sequence[float] | float` in function `optuna.study.study.Study.optimize` [bad-argument-type]

packaging (https://github.com/pypa/packaging)
- ERROR src/packaging/markers.py:149:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[Literal['and', 'or'] | Sequence[MarkerAtom] | tuple[Value | Variable, Op, Value | Variable] | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]
+ ERROR src/packaging/markers.py:149:12-24: Returned type `tuple[Value | Variable | MarkerAtom, Op | MarkerAtom, Value | Variable | MarkerAtom]` is not assignable to declared return type `Sequence[MarkerAtom] | list[MarkerLogical | MarkerAtom | MarkerList] | str | tuple[Value | Variable, Op, Value | Variable]` [bad-return]

CPython (cases_generator) (https://github.com/python/cpython)
- ERROR Tools/cases_generator/parsing.py:333:5-16: Argument `(self: Self@Parser) -> Family | InstDef | LabelDef | Macro | Pseudo | None` is not assignable to parameter `func` with type `(Self@Parser) -> Family | None` in function `contextual` [bad-argument-type]
+ ERROR Tools/cases_generator/parsing.py:333:5-16: Argument `(self: Self@Parser) -> AstNode | None` is not assignable to parameter `func` with type `(Self@Parser) -> Family | None` in function `contextual` [bad-argument-type]
- ERROR Tools/cases_generator/parsing.py:429:5-16: Argument `(self: Self@Parser) -> CacheEffect | StackEffect | None` is not assignable to parameter `func` with type `(Self@Parser) -> CacheEffect | None` in function `contextual` [bad-argument-type]
+ ERROR Tools/cases_generator/parsing.py:429:5-16: Argument `(self: Self@Parser) -> InputEffect | None` is not assignable to parameter `func` with type `(Self@Parser) -> CacheEffect | None` in function `contextual` [bad-argument-type]
- ERROR Tools/cases_generator/parsing.py:535:5-16: Argument `(self: Self@Parser) -> CacheEffect | OpName | None` is not assignable to parameter `func` with type `(Self@Parser) -> CacheEffect | None` in function `contextual` [bad-argument-type]
+ ERROR Tools/cases_generator/parsing.py:535:5-16: Argument `(self: Self@Parser) -> UOp | None` is not assignable to parameter `func` with type `(Self@Parser) -> CacheEffect | None` in function `contextual` [bad-argument-type]

anyio (https://github.com/agronholm/anyio)
- ERROR src/anyio/_core/_tempfile.py:554:36-81: Unpacked argument `tuple[AnyStr | None, AnyStr | None, AnyStr | None, bool]` is not assignable to parameter `*args` with type `tuple[str | None, str | None, PathLike[str] | str | None, bool]` in function `anyio.to_thread.run_sync` [bad-argument-type]
+ ERROR src/anyio/_core/_tempfile.py:554:36-81: Unpacked argument `tuple[AnyStr | None, AnyStr | None, AnyStr | None, bool]` is not assignable to parameter `*args` with type `tuple[str | None, str | None, StrPath | None, bool]` in function `anyio.to_thread.run_sync` [bad-argument-type]
- ERROR src/anyio/_core/_tempfile.py:589:36-75: Unpacked argument `tuple[AnyStr | None, AnyStr | None, AnyStr | None]` is not assignable to parameter `*args` with type `tuple[str | None, str | None, PathLike[str] | str | None]` in function `anyio.to_thread.run_sync` [bad-argument-type]
+ ERROR src/anyio/_core/_tempfile.py:589:36-75: Unpacked argument `tuple[AnyStr | None, AnyStr | None, AnyStr | None]` is not assignable to parameter `*args` with type `tuple[str | None, str | None, StrPath | None]` in function `anyio.to_thread.run_sync` [bad-argument-type]

meson (https://github.com/mesonbuild/meson)
- ERROR mesonbuild/build.py:1508:41-52: Argument `list[CustomTarget | CustomTargetIndex | File | GeneratedList | StructuredSources]` is not assignable to parameter `sources` with type `list[SourceOutputs]` in function `BuildTarget.process_sourcelist` [bad-argument-type]
+ ERROR mesonbuild/build.py:1508:41-52: Argument `list[GeneratedTypes | File | StructuredSources]` is not assignable to parameter `sources` with type `list[SourceOutputs]` in function `BuildTarget.process_sourcelist` [bad-argument-type]
- ERROR mesonbuild/build.py:1528:45-62: Argument `list[CustomTarget | CustomTargetIndex | File | GeneratedList | StructuredSources]` is not assignable to parameter `sources` with type `list[SourceOutputs]` in function `BuildTarget.process_sourcelist` [bad-argument-type]
+ ERROR mesonbuild/build.py:1528:45-62: Argument `list[GeneratedTypes | File | StructuredSources]` is not assignable to parameter `sources` with type `list[SourceOutputs]` in function `BuildTarget.process_sourcelist` [bad-argument-type]
- ERROR mesonbuild/build.py:2854:51-105: Argument `File` is not assignable to parameter `cmd` with type `Sequence[BuildTarget | CustomTarget | CustomTargetIndex | File | Program | str]` in function `CommandBase.flatten_command` [bad-argument-type]
+ ERROR mesonbuild/build.py:2854:51-105: Argument `File` is not assignable to parameter `cmd` with type `Sequence[BuildTargetTypes | File | Program | str]` in function `CommandBase.flatten_command` [bad-argument-type]
- ERROR mesonbuild/build.py:2938:45-52: Argument `Sequence[BuildTarget | CustomTarget | CustomTargetIndex | File | GeneratedList | Program | str]` is not assignable to parameter `cmd` with type `Sequence[BuildTarget | CustomTarget | CustomTargetIndex | File | Program | str]` in function `CommandBase.flatten_command` [bad-argument-type]
+ ERROR mesonbuild/build.py:2938:45-52: Argument `Sequence[BuildTargetTypes | File | GeneratedList | Program | str]` is not assignable to parameter `cmd` with type `Sequence[BuildTargetTypes | File | Program | str]` in function `CommandBase.flatten_command` [bad-argument-type]
- ERROR mesonbuild/interpreter/interpreter.py:485:41-53: Argument `CustomTarget | CustomTargetIndex | File | GeneratedList | StructuredSources` is not assignable to parameter `invalues` with type `list[ExecutableSerialisation | HoldableObject | MesonInterpreterObject | Sequence[TYPE_elementary] | Sequence[TYPE_var] | bool | dict[str, TYPE_elementary] | dict[str, TYPE_var] | int | str]` in function `Interpreter.process_new_values` [bad-argument-type]
+ ERROR mesonbuild/interpreter/interpreter.py:485:41-53: Argument `CustomTarget | CustomTargetIndex | File | GeneratedList | StructuredSources` is not assignable to parameter `invalues` with type `list[TYPE_var | ExecutableSerialisation]` in function `Interpreter.process_new_values` [bad-argument-type]
- ERROR mesonbuild/interpreter/interpreter.py:1919:33-64: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[CustomTarget | CustomTargetIndex | File | GeneratedList | str]], Jar, type[Jar]) [no-matching-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:1919:33-64: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[GeneratedTypes | File | str]], Jar, type[Jar]) [no-matching-overload]
- ERROR mesonbuild/interpreter/interpreter.py:1933:37-75: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]], BuildTarget, type[Executable]) [no-matching-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:1933:37-75: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]], BuildTarget, type[Executable]) [no-matching-overload]
- ERROR mesonbuild/interpreter/interpreter.py:1944:33-64: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]], BuildTarget, type[Jar]) [no-matching-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:1944:33-64: No matching overload found for function `Interpreter.build_target` called with arguments: (BaseNode, tuple[str, list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]], BuildTarget, type[Jar]) [no-matching-overload]
- ERROR mesonbuild/interpreter/interpreter.py:2017:41-58: No matching overload found for function `Interpreter.source_strings_to_files` called with arguments: (list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | Program | str]) [no-matching-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:2017:41-58: No matching overload found for function `Interpreter.source_strings_to_files` called with arguments: (list[GeneratedTypes | BuildTarget | ExtractedObjects | File | Program | str]) [no-matching-overload]
- ERROR mesonbuild/interpreter/interpreter.py:2113:46-77: No matching overload found for function `Interpreter.source_strings_to_files` called with arguments: (list[BuildTarget | CustomTarget | CustomTargetIndex | ExternalProgram | ExtractedObjects | File | GeneratedList | str], strict=Literal[False]) [no-matching-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:2113:46-77: No matching overload found for function `Interpreter.source_strings_to_files` called with arguments: (list[GeneratedTypes | BuildTarget | ExternalProgram | ExtractedObjects | File | str], strict=Literal[False]) [no-matching-overload]
- ERROR mesonbuild/interpreter/interpreter.py:2184:13-24: Cannot set item in `list[BuildTarget | CustomTarget | CustomTargetIndex | ExternalProgram | File | str]` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:2184:13-24: Cannot set item in `list[BuildTargetTypes | ExternalProgram | File | str]` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:2459:40-47: Argument `dict[str, list[CustomTarget | CustomTargetIndex | File | GeneratedList]]` is not assignable to parameter `sources` with type `defaultdict[str, list[CustomTarget | CustomTargetIndex | File | GeneratedList]]` in function `mesonbuild.build.StructuredSources.__init__` [bad-argument-type]
+ ERROR mesonbuild/interpreter/interpreter.py:2459:40-47: Argument `dict[str, list[GeneratedTypes | File]]` is not assignable to parameter `sources` with type `defaultdict[str, list[GeneratedTypes | File]]` in function `mesonbuild.build.StructuredSources.__init__` [bad-argument-type]
- ERROR mesonbuild/interpreter/interpreter.py:3198:9-32: Implementation signature `(self: Self@Interpreter, sources: list[SourceInputs], strict: bool = True) -> list[SourceOutputs]` does not accept all arguments that overload signature `(self: Self@Interpreter, sources: list[CustomTarget | CustomTargetIndex | File | GeneratedList | str]) -> list[CustomTarget | CustomTargetIndex | File | GeneratedList]` accepts [inconsistent-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:3198:9-32: Implementation signature `(self: Self@Interpreter, sources: list[SourceInputs], strict: bool = True) -> list[SourceOutputs]` does not accept all arguments that overload signature `(self: Self@Interpreter, sources: list[CustomTarget | CustomTargetIndex | File | GeneratedList | str]) -> list[GeneratedTypes | File]` accepts [inconsistent-overload]
- ERROR mesonbuild/interpreter/interpreter.py:3198:9-32: Overload return type `list[CustomTarget | CustomTargetIndex | File | GeneratedList]` is not assignable to implementation return type `list[SourceOutputs]` [inconsistent-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:3198:9-32: Overload return type `list[GeneratedTypes | File]` is not assignable to implementation return type `list[SourceOutputs]` [inconsistent-overload]
- ERROR mesonbuild/interpreter/interpreter.py:3204:9-32: Implementation signature `(self: Self@Interpreter, sources: list[SourceInputs], strict: bool = True) -> list[SourceOutputs]` does not accept all arguments that overload signature `(self: Self@Interpreter, sources: list[list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]], strict: bool = True) -> list[SourceOutputs]` accepts [inconsistent-overload]
+ ERROR mesonbuild/interpreter/interpreter.py:3204:9-32: Implementation signature `(self: Self@Interpreter, sources: list[SourceInputs], strict: bool = True) -> list[SourceOutputs]` does not accept all arguments that overload signature `(self: Self@Interpreter, sources: list[list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]], strict: bool = True) -> list[SourceOutputs]` accepts [inconsistent-overload]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `BuildTarget` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `BuildTarget` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `CustomTarget` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `CustomTarget` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `CustomTargetIndex` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `CustomTargetIndex` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `ExtractedObjects` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `ExtractedObjects` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `File` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `File` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `GeneratedList` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `GeneratedList` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` and `str` [unsupported-operation]
+ ERROR mesonbuild/interpreter/interpreter.py:3469:19-46: `+` is not supported between `list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]` and `str` [unsupported-operation]
- ERROR mesonbuild/interpreter/interpreter.py:3492:17-27: `list[str]` is not assignable to `tuple[str, list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]]` [bad-assignment]
+ ERROR mesonbuild/interpreter/interpreter.py:3492:17-27: `list[str]` is not assignable to `tuple[str, list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]]` [bad-assignment]
- ERROR mesonbuild/interpreter/interpreter.py:3501:17-27: `list[str]` is not assignable to `tuple[str, list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]]` [bad-assignment]
+ ERROR mesonbuild/interpreter/interpreter.py:3501:17-27: `list[str]` is not assignable to `tuple[str, list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]]` [bad-assignment]
- ERROR mesonbuild/interpreter/type_checking.py:490:5-57: Argument `tuple[type[None], ContainerTypeInfo]` is not assignable to parameter `types` with type `ContainerTypeInfo | tuple[ContainerTypeInfo | type[list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]], ...] | type[list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]]` in function `mesonbuild.interpreterbase.decorators.KwargInfo.__init__` [bad-argument-type]
+ ERROR mesonbuild/interpreter/type_checking.py:490:5-57: Argument `tuple[type[None], ContainerTypeInfo]` is not assignable to parameter `types` with type `ContainerTypeInfo | tuple[ContainerTypeInfo | type[list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]], ...] | type[list[GeneratedTypes | BuildTarget | ExtractedObjects | File | StructuredSources | str]]` in function `mesonbuild.interpreterbase.decorators.KwargInfo.__init__` [bad-argument-type]
- ERROR mesonbuild/modules/hotdoc.py:180:57-68: Argument `list[CustomTarget | CustomTargetIndex | File | GeneratedList | StructuredSources]` is not assignable to parameter `deps` with type `list[CustomTarget | CustomTargetIndex | Dependency | SharedLibrary | StaticLibrary]` in function `HotdocTargetBuilder.process_dependencies` [bad-argument-type]
+ ERROR mesonbuild/modules/hotdoc.py:180:57-68: Argument `list[GeneratedTypes | File | StructuredSources]` is not assignable to parameter `deps` with type `list[CustomTarget | CustomTargetIndex | Dependency | SharedLibrary | StaticLibrary]` in function `HotdocTargetBuilder.process_dependencies` [bad-argument-type]
- ERROR mesonbuild/modules/hotdoc.py:190:43-72: Argument `list[BuildTarget | CustomTarget | CustomTargetIndex | ExtractedObjects | File | GeneratedList | StructuredSources | str]` is not assignable to parameter `deps` with type `list[CustomTarget | CustomTargetIndex | Dependency | SharedLibrary | StaticLibrary]` in function `HotdocTargetBuilder.process_dependencies` [bad-argument-type]
+ ERROR mesonbuild/modules/hotdoc.py:190:43-72: Argument `list[SourceOutputs | str]` is not assignable to parameter `deps` with type `list[CustomTarget | CustomTargetIndex | Dependency | SharedLibrary | StaticLibrary]` in function `HotdocTargetBuilder.process_dependencies` [bad-argument-type]
- ERROR mesonbuild/modules/i18n.py:430:17-68: Argument `list[BuildTarget | CustomTarget | CustomTargetIndex | File | GeneratedList | Program | str | None]` is not assignable to parameter `command` with type `Sequence[BuildTarget | CustomTarget | CustomTargetIndex | File | GeneratedList | Program | str]` in function `mesonbuild.build.CustomTarget.__init__` [bad-argument-type]
+ ERROR mesonbuild/modules/i18n.py:430:17-68: Argument `list[BuildTarget | CustomTarget | CustomTargetIndex | File | GeneratedList | Program | str | None]` is not assignable to parameter `command` with type `Sequence[BuildTargetTypes | File | GeneratedList | Program | str]` in function `mesonbuild.build.CustomTarget.__init__` [bad-argument-type]
-   (cmd: StrPath, mode: int = 1, path: PathLike[str] | str | None = None) -> str | None
+   (cmd: StrPath, mode: int = 1, path: StrPath | None = None) -> str | None
-   (cmd: bytes, mode: int = 1, path: PathLike[str] | str | None = None) -> bytes | None
+   (cmd: bytes, mode: int = 1, path: StrPath | None = None) -> bytes | None

altair (https://github.com/vega/altair)
- ERROR altair/utils/_transformed_data.py:119:10-48: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR altair/utils/_transformed_data.py:119:10-48: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR altair/utils/_transformed_data.py:119:10-48: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR altair/utils/_transformed_data.py:119:10-48: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR altair/utils/save.py:283:14-49: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR altair/utils/save.py:283:14-49: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR altair/utils/save.py:283:14-49: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR altair/utils/save.py:283:14-49: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:52:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:52:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:52:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:52:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:78:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:78:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:78:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:78:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:146:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:146:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:146:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:146:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:206:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:206:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:206:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:206:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:269:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:269:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/test_jupyter_chart.py:269:10-51: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/test_jupyter_chart.py:269:10-51: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/utils/test_mimebundle.py:231:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/utils/test_mimebundle.py:231:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/utils/test_mimebundle.py:231:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/utils/test_mimebundle.py:231:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/utils/test_mimebundle.py:245:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/utils/test_mimebundle.py:245:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/utils/test_mimebundle.py:245:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/utils/test_mimebundle.py:245:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:211:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:211:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:211:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:211:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:215:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:215:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:215:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:215:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:222:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:222:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:222:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:222:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:226:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:226:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:226:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:226:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:990:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:990:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:990:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:990:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:999:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:999:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:999:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:999:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1566:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1566:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1566:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1566:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1569:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1569:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1569:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1569:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1596:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1596:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1596:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1596:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1601:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1601:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1601:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1601:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1609:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1609:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1609:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1609:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1613:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1613:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1613:10-65: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1613:10-65: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1915:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1915:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_api.py:1915:10-52: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_api.py:1915:10-52: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_data.py:15:10-61: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_data.py:15:10-61: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_data.py:15:10-61: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_data.py:15:10-61: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_data.py:27:13-49: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_data.py:27:13-49: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_data.py:27:13-49: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_data.py:27:13-49: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
- ERROR tests/vegalite/v6/test_geo_interface.py:32:10-66: Cannot use `PluginEnabler[(narwhals.stable.v1.typing.DataFrameLike | altair.utils.core.DataFrameLike | NativeDataFrame | SupportsGeoInterface | dict[Any, Any] | Unknown, ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]
+ ERROR tests/vegalite/v6/test_geo_interface.py:32:10-66: Cannot use `PluginEnabler[(IntoDataFrame | DataFrameLike | SupportsGeoInterface | dict[Any, Any], ...) -> Unknown, Unknown]` as a context manager [bad-context-manager]

... (truncated 30 lines) ...

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asukaminato0721 marked this pull request as draft February 24, 2026 08:08

asukaminato0721 added 2 commits February 24, 2026 17:18

add test

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asukaminato0721 force-pushed the 1115 branch from 1299db5 to e8df24b Compare February 24, 2026 08:19

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set num to 2 to see the res

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asukaminato0721 force-pushed the 1115 branch from cf944d7 to 6478e53 Compare February 24, 2026 09:45

asukaminato0721 requested a review from rchen152 February 24, 2026 09:45

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fix the diagnosis of typing error of decorator is very hard to read. #1115#2466

fix the diagnosis of typing error of decorator is very hard to read. #1115#2466
asukaminato0721 wants to merge 4 commits intofacebook:mainfrom
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asukaminato0721 commented Feb 19, 2026

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