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fix: deduplicate union items after type alias resolution (#22194) - #22200
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GH 22194. A union like `TextInput | ImageInput`, where TextInput is str and ImageInput is str | None, was rendered as "str | str | None" because the duplicate only appears once the aliases are resolved, which happens after the union is constructed. Duplicates are now dropped at format time, in a new strip_alias_duplicates() helper that expands the aliases and re-deduplicates them before the existing last-known-value normalization. The test in the PR used "from typing import TypeAlias", which is not available in the fixture, and called print(), which is not defined there; both are fixed to use typing_extensions and an empty body, matching how other tests in the suite express this.
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Diff from mypy_primer, showing the effect of this PR on open source code: prefect (https://github.com/PrefectHQ/prefect)
- src/prefect/server/services/task_run_recorder.py:160: error: Item "str" of "str | Any | Any" has no attribute "key" [union-attr]
+ src/prefect/server/services/task_run_recorder.py:160: error: Item "str" of "str | Any" has no attribute "key" [union-attr]
- src/prefect/variables.py:213: error: Argument 1 has incompatible type "Callable[[type[Variable[T]], str, Any | Any | Any | Any | dict[str, Any] | list[Any] | None | None], Any | Any | Any | Any | dict[str, Any] | list[Any] | None | None]"; expected "Callable[[type[Variable[T]], str], T | None]" [arg-type]
+ src/prefect/variables.py:213: error: Argument 1 has incompatible type "Callable[[type[Variable[T]], str, Any | dict[str, Any] | list[Any] | None], Any | dict[str, Any] | list[Any] | None]"; expected "Callable[[type[Variable[T]], str], T | None]" [arg-type]
colour (https://github.com/colour-science/colour)
- colour/plotting/common.py:1427: error: Argument 1 to "set_facecolor" of "Patch" has incompatible type "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str]"; expected "tuple[float, float, float] | str | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float] | None" [arg-type]
+ colour/plotting/common.py:1427: error: Argument 1 to "set_facecolor" of "Patch" has incompatible type "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str]"; expected "tuple[float, float, float] | str | tuple[float, float, float, float] | tuple[tuple[float, float, float] | str, float] | tuple[tuple[float, float, float, float], float] | None" [arg-type]
discord.py (https://github.com/Rapptz/discord.py)
- discord/components.py:577: error: Argument 1 of "from_dict" is incompatible with supertype "BaseOption"; supertype defines the argument type as "SelectOption | OptionBase | OptionBase" [override]
+ discord/components.py:577: error: Argument 1 of "from_dict" is incompatible with supertype "BaseOption"; supertype defines the argument type as "SelectOption | OptionBase" [override]
- discord/ext/commands/parameters.py:115: note: def replace(self, *, name: str = ..., kind: Any | Any | Any | Any | Any = ..., default: Any = ..., annotation: Any = ..., description: str = ..., displayed_default: Any = ..., displayed_name: Any = ...) -> Parameter
+ discord/ext/commands/parameters.py:115: note: def replace(self, *, name: str = ..., kind: Any = ..., default: Any = ..., annotation: Any = ..., description: str = ..., displayed_default: Any = ..., displayed_name: Any = ...) -> Parameter
pandera (https://github.com/pandera-dev/pandera)
- pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[Any], dtype: type[builtins.bool] | Literal['bool'] | type[int] | Literal['int'] | type[float] | Literal['float'] | type[complex] | Literal['complex'] | type[bytes] | Literal['bytes'] | Literal['?', 'b1', 'bool_'] | type[numpy.bool[builtins.bool]] | Literal['b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'l', 'i8', 'int64', 'int_', 'long', 'q', 'longlong', 'p', 'intp'] | type[signedinteger[_8Bit]] | type[signedinteger[_16Bit]] | type[signedinteger[_32Bit]] | type[signedinteger[_32Bit | _64Bit]] | type[signedinteger[_64Bit]] | type[signedinteger[_32Bit | _64Bit]] | Literal['B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'L', 'u8', 'uint', 'ulong', 'uint64', 'Q', 'ulonglong', 'P', 'uintp'] | type[unsignedinteger[_8Bit]] | type[unsignedinteger[_16Bit]] | type[unsignedinteger[_32Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | type[unsignedinteger[_64Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | Literal['e', 'f2', '<f2', 'float16', 'half'] | type[floating[_16Bit]] | Literal['f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble'] | type[floating[_32Bit]] | type[float64] | type[floating[_64Bit | _96Bit | _128Bit]] | Literal['F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble'] | type[complexfloating[_32Bit, _32Bit]] | type[complex128] | type[complexfloating[_64Bit | _96Bit | _128Bit, _64Bit | _96Bit | _128Bit]] | Literal['U', 'str_', 'unicode'] | type[str_] | Literal['S', 'bytes_'] | type[bytes_] | Literal['object_', 'O'] | type[object_] | Literal['V', 'void'] | type[void], copy: bool = ...) -> NumpyExtensionArray
- pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[NAType | None], dtype: type[builtins.bool] | Literal['bool'] | type[int] | Literal['int'] | type[float] | Literal['float'] | type[complex] | Literal['complex'] | type[bytes] | Literal['bytes'] | Literal['?', 'b1', 'bool_'] | type[numpy.bool[builtins.bool]] | Literal['b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'l', 'i8', 'int64', 'int_', 'long', 'q', 'longlong', 'p', 'intp'] | type[signedinteger[_8Bit]] | type[signedinteger[_16Bit]] | type[signedinteger[_32Bit]] | type[signedinteger[_32Bit | _64Bit]] | type[signedinteger[_64Bit]] | type[signedinteger[_32Bit | _64Bit]] | Literal['B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'L', 'u8', 'uint', 'ulong', 'uint64', 'Q', 'ulonglong', 'P', 'uintp'] | type[unsignedinteger[_8Bit]] | type[unsignedinteger[_16Bit]] | type[unsignedinteger[_32Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | type[unsignedinteger[_64Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | Literal['e', 'f2', '<f2', 'float16', 'half'] | type[floating[_16Bit]] | Literal['f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble'] | type[floating[_32Bit]] | type[float64] | type[floating[_64Bit | _96Bit | _128Bit]] | Literal['F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble'] | type[complexfloating[_32Bit, _32Bit]] | type[complex128] | type[complexfloating[_64Bit | _96Bit | _128Bit, _64Bit | _96Bit | _128Bit]] | Literal['U', 'str_', 'unicode'] | type[str_] | Literal['S', 'bytes_'] | type[bytes_] | Literal['object_', 'O'] | type[object_] | Literal['V', 'void'] | type[void] | None = ..., copy: bool = ...) -> NumpyExtensionArray
+ pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[Any], dtype: Literal['bool', 'int', 'float', 'complex', 'bytes', '?', 'b1', 'bool_', 'b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'i8', 'int64', 'int_', 'q', 'longlong', 'p', 'intp', 'B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'u8', 'uint', 'uint64', 'Q', 'ulonglong', 'P', 'uintp', 'e', 'f2', '<f2', 'float16', 'half', 'f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble', 'F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble', 'U', 'str_', 'unicode', 'S', 'bytes_', 'object_', 'O', 'V', 'void'] | type[builtins.bool] | type[int] | type[float] | type[complex] | type[bytes] | <22 more items>, copy: bool = ...) -> NumpyExtensionArray
+ pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[NAType | None], dtype: Literal['bool', 'int', 'float', 'complex', 'bytes', '?', 'b1', 'bool_', 'b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'i8', 'int64', 'int_', 'q', 'longlong', 'p', 'intp', 'B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'u8', 'uint', 'uint64', 'Q', 'ulonglong', 'P', 'uintp', 'e', 'f2', '<f2', 'float16', 'half', 'f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble', 'F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble', 'U', 'str_', 'unicode', 'S', 'bytes_', 'object_', 'O', 'V', 'void'] | type[builtins.bool] | type[int] | type[float] | type[complex] | type[bytes] | <22 more items> | None = ..., copy: bool = ...) -> NumpyExtensionArray
- pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[Just[float] | str | datetime | datetime64[Any] | NaTType | None] | ndarray[tuple[Any, ...], dtype[Any]] | DatetimeArray, dtype: DatetimeTZDtype | Literal['datetime64[s, UTC]', 'datetime64[ms, UTC]', 'datetime64[us, UTC]', 'datetime64[ns, UTC]'] | dtype[datetime64[Any]] | Literal['datetime64[s]', 'datetime64[ms]', 'datetime64[us]', 'datetime64[ns]', 'M8[s]', 'M8[ms]', 'M8[us]', 'M8[ns]', '<M8[s]', '<M8[ms]', '<M8[us]', '<M8[ns]'] | dtype[datetime64[Any]], copy: bool = ...) -> DatetimeArray
+ pandera/engines/pandas_engine.py:169: note: def array(data: Sequence[Just[float] | str | datetime | datetime64[Any] | NaTType | None] | ndarray[tuple[Any, ...], dtype[Any]] | DatetimeArray, dtype: Literal['datetime64[s, UTC]', 'datetime64[ms, UTC]', 'datetime64[us, UTC]', 'datetime64[ns, UTC]', 'datetime64[s]', 'datetime64[ms]', 'datetime64[us]', 'datetime64[ns]', 'M8[s]', 'M8[ms]', 'M8[us]', 'M8[ns]', '<M8[s]', '<M8[ms]', '<M8[us]', '<M8[ns]'] | DatetimeTZDtype | dtype[datetime64[Any]], copy: bool = ...) -> DatetimeArray
- pandera/engines/pandas_engine.py:169: note: def array(data: ndarray[tuple[Any, ...], dtype[Any]] | NumpyExtensionArray | RangeIndex, dtype: type[builtins.bool] | Literal['bool'] | type[int] | Literal['int'] | type[float] | Literal['float'] | type[complex] | Literal['complex'] | type[bytes] | Literal['bytes'] | Literal['?', 'b1', 'bool_'] | type[numpy.bool[builtins.bool]] | Literal['b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'l', 'i8', 'int64', 'int_', 'long', 'q', 'longlong', 'p', 'intp'] | type[signedinteger[_8Bit]] | type[signedinteger[_16Bit]] | type[signedinteger[_32Bit]] | type[signedinteger[_32Bit | _64Bit]] | type[signedinteger[_64Bit]] | type[signedinteger[_32Bit | _64Bit]] | Literal['B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'L', 'u8', 'uint', 'ulong', 'uint64', 'Q', 'ulonglong', 'P', 'uintp'] | type[unsignedinteger[_8Bit]] | type[unsignedinteger[_16Bit]] | type[unsignedinteger[_32Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | type[unsignedinteger[_64Bit]] | type[unsignedinteger[_32Bit | _64Bit]] | Literal['e', 'f2', '<f2', 'float16', 'half'] | type[floating[_16Bit]] | Literal['f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble'] | type[floating[_32Bit]] | type[float64] | type[floating[_64Bit | _96Bit | _128Bit]] | Literal['F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble'] | type[complexfloating[_32Bit, _32Bit]] | type[complex128] | type[complexfloating[_64Bit | _96Bit | _128Bit, _64Bit | _96Bit | _128Bit]] | Literal['U', 'str_', 'unicode'] | type[str_] | Literal['S', 'bytes_'] | type[bytes_] | Literal['object_', 'O'] | type[object_] | Literal['V', 'void'] | type[void] | None = ..., copy: bool = ...) -> NumpyExtensionArray
+ pandera/engines/pandas_engine.py:169: note: def array(data: ndarray[tuple[Any, ...], dtype[Any]] | NumpyExtensionArray | RangeIndex, dtype: Literal['bool', 'int', 'float', 'complex', 'bytes', '?', 'b1', 'bool_', 'b', 'i1', 'int8', 'byte', 'h', 'i2', 'int16', 'short', 'i', 'i4', 'int32', 'intc', 'l', 'long', 'i8', 'int64', 'int_', 'q', 'longlong', 'p', 'intp', 'B', 'u1', 'uint8', 'ubyte', 'H', 'u2', 'uint16', 'ushort', 'I', 'u4', 'uint32', 'uintc', 'L', 'ulong', 'u8', 'uint', 'uint64', 'Q', 'ulonglong', 'P', 'uintp', 'e', 'f2', '<f2', 'float16', 'half', 'f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'g', 'f16', 'float128', 'longdouble', 'F', 'c8', 'complex64', 'csingle', 'D', 'c16', 'complex128', 'cdouble', 'G', 'c32', 'complex256', 'clongdouble', 'U', 'str_', 'unicode', 'S', 'bytes_', 'object_', 'O', 'V', 'void'] | type[builtins.bool] | type[int] | type[float] | type[complex] | type[bytes] | <22 more items> | None = ..., copy: bool = ...) -> NumpyExtensionArray
pydantic (https://github.com/pydantic/pydantic)
- pydantic/functional_serializers.py:304: error: Argument 1 to "PydanticDescriptorProxy" has incompatible type "Callable[[Any], Any] | Callable[[Any, SerializationInfo[Any]], Any] | Callable[[Any, Any], Any] | Callable[[Any, Any, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any] | Callable[[Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, SerializerFunctionWrapHandler, SerializationInfo[Any]], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any]"; expected "classmethod[Any, Any, Any] | staticmethod[Any, Any] | Callable[..., Any] | property" [arg-type]
+ pydantic/functional_serializers.py:304: error: Argument 1 to "PydanticDescriptorProxy" has incompatible type "Callable[[Any], Any] | Callable[[Any, SerializationInfo[Any]], Any] | Callable[[Any, Any], Any] | Callable[[Any, Any, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any] | Callable[[Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, SerializerFunctionWrapHandler, SerializationInfo[Any]], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler, FieldSerializationInfo[Any]], Any]"; expected "classmethod[Any, Any, Any] | staticmethod[Any, Any] | Callable[..., Any] | property" [arg-type]
- pydantic/functional_serializers.py:306: error: Incompatible return value type (got "Callable[[Callable[[Any], Any] | Callable[[Any, SerializationInfo[Any]], Any] | Callable[[Any, Any], Any] | Callable[[Any, Any, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any] | Callable[[Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, SerializerFunctionWrapHandler, SerializationInfo[Any]], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any]], PydanticDescriptorProxy[Any]]", expected "Callable[[_FieldWrapSerializerT], _FieldWrapSerializerT] | Callable[[_FieldPlainSerializerT], _FieldPlainSerializerT]") [return-value]
+ pydantic/functional_serializers.py:306: error: Incompatible return value type (got "Callable[[Callable[[Any], Any] | Callable[[Any, SerializationInfo[Any]], Any] | Callable[[Any, Any], Any] | Callable[[Any, Any, FieldSerializationInfo[Any]], Any] | partial[Any] | partialmethod[Any] | Callable[[Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, SerializerFunctionWrapHandler, SerializationInfo[Any]], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler], Any] | Callable[[Any, Any, SerializerFunctionWrapHandler, FieldSerializationInfo[Any]], Any]], PydanticDescriptorProxy[Any]]", expected "Callable[[_FieldWrapSerializerT], _FieldWrapSerializerT] | Callable[[_FieldPlainSerializerT], _FieldPlainSerializerT]") [return-value]
scikit-learn (https://github.com/scikit-learn/scikit-learn)
- sklearn/externals/array_api_compat/torch/_aliases.py:110: error: Item "complex" of "Any | Any | complex" has no attribute "dtype" [union-attr]
+ sklearn/externals/array_api_compat/torch/_aliases.py:110: error: Item "complex" of "Any | complex" has no attribute "dtype" [union-attr]
bokeh (https://github.com/bokeh/bokeh)
- src/bokeh/util/serialization.py:180:1: error: Argument 1 to "convert_datetime_type" becomes "Any | Any | Any | datetime | date | time | datetime64[Any]" due to an unfollowed import [no-any-unimported]
+ src/bokeh/util/serialization.py:180:1: error: Argument 1 to "convert_datetime_type" becomes "Any | datetime | date | time | datetime64[Any]" due to an unfollowed import [no-any-unimported]
- src/bokeh/util/serialization.py:383:1: error: Argument 1 to "transform_series" becomes "Any | Any | Any" due to an unfollowed import [no-any-unimported]
+ src/bokeh/util/serialization.py:383:1: error: Argument 1 to "transform_series" becomes "Any" due to an unfollowed import [no-any-unimported]
- src/bokeh/document/events.py:170:5: error: Argument 2 to "_stream" becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any | Any] | Any | Any" due to an unfollowed import [no-any-unimported]
+ src/bokeh/document/events.py:170:5: error: Argument 2 to "_stream" becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any] | Any" due to an unfollowed import [no-any-unimported]
- src/bokeh/document/events.py:530:5: error: Argument 5 to "__init__" becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any | Any] | Any" due to an unfollowed import [no-any-unimported]
+ src/bokeh/document/events.py:530:5: error: Argument 5 to "__init__" becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any] | Any" due to an unfollowed import [no-any-unimported]
- src/bokeh/models/sources.pyi:46:1: error: Type alias target becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any | Any]" due to an unfollowed import [no-any-unimported]
+ src/bokeh/models/sources.pyi:46:1: error: Type alias target becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any]" due to an unfollowed import [no-any-unimported]
- src/bokeh/models/sources.pyi:48:1: error: Type alias target becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any | Any] | Any | Any" due to an unfollowed import [no-any-unimported]
+ src/bokeh/models/sources.pyi:48:1: error: Type alias target becomes "dict[str, Sequence[Any] | ndarray[tuple[Any, ...], dtype[Any]] | Any] | Any" due to an unfollowed import [no-any-unimported]
trio (https://github.com/python-trio/trio)
- src/trio/_tools/sync_requirements.py:19: error: Type of variable becomes "type[Any] | type[Any]" due to an unfollowed import [no-any-unimported]
+ src/trio/_tools/sync_requirements.py:19: error: Type of variable becomes "type[Any]" due to an unfollowed import [no-any-unimported]
jax (https://github.com/google/jax)
- jax/_src/ffi.py:493: error: Incompatible types in assignment (expression has type "Sequence[int] | Layout | None | Sequence[Sequence[int] | Layout | None] | None", variable has type "Sequence[Sequence[int] | Layout | None] | None") [assignment]
+ jax/_src/ffi.py:493: error: Incompatible types in assignment (expression has type "Sequence[int] | Layout | Sequence[Sequence[int] | Layout | None] | None", variable has type "Sequence[Sequence[int] | Layout | None] | None") [assignment]
- jax/_src/ffi.py:499: error: Incompatible types in assignment (expression has type "tuple[Sequence[int] | Layout | None | Sequence[Sequence[int] | Layout | None] | None]", variable has type "Sequence[Sequence[int] | Layout | None] | None") [assignment]
+ jax/_src/ffi.py:499: error: Incompatible types in assignment (expression has type "tuple[Sequence[int] | Layout | Sequence[Sequence[int] | Layout | None] | None]", variable has type "Sequence[Sequence[int] | Layout | None] | None") [assignment]
dragonchain (https://github.com/dragonchain/dragonchain)
- dragonchain/lib/database/redis_utest.py:122:9: error: "def flushall(self, asynchronous: bool = ..., **kwargs: Any | Any) -> bool" has no attribute "assert_called_once" [attr-defined]
+ dragonchain/lib/database/redis_utest.py:122:9: error: "def flushall(self, asynchronous: bool = ..., **kwargs: Any) -> bool" has no attribute "assert_called_once" [attr-defined]
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Problem
Overlapping type aliases show duplicate union items:
Fix
Expand type aliases before deduplicating union items in ignore_last_known_values.
Verification