Make datetime generic over tzinfo #11844

srittau · 2024-04-29T11:58:29Z

No description provided.

srittau · 2024-04-29T11:59:40Z

This is a trial to judge the impact of such a change that could prevent runtime errors due to mixing timezone-aware and unaware datetimes.

srittau · 2024-04-29T15:02:32Z

While I think there's some promise in this approach, I struggle with Any annotated datetimes. The __sub__ overloads (for example), derive a return type of Any, probably because mypy is merging the timedelta and NoReturn annotations of multiple annotations. Does anyone have an idea how to work around this?

bluetech · 2024-05-15T14:01:32Z

I don't have much to add except to say that having this will be truly great, my code is littered with "aware"/"not aware" comments which really should be in the type, so I hope you can get it to work. (I haven't been bothered with it enough to use something like DataType yet).

I am curious about two things:

Why default TzInfoT to Any instead of tzinfo | None?
Why are the overloads needed? I guess typecheckers don't know the type of default values so they don't see that fromtimestamp(123) is the same as fromtimestamp(123, tz=None) and so can't infer TzInfoT=None?

srittau · 2024-05-19T09:52:04Z

@bluetech

Why default TzInfoT to Any instead of tzinfo | None?

It tried both, but both didn't work. tzinfo | None is also my preferred default, but I hoped that Any would have less problems when it didn't.

Why are the overloads needed? I guess typecheckers don't know the type of default values so they don't see that fromtimestamp(123) is the same as fromtimestamp(123, tz=None) and so can't infer TzInfoT=None?

Exactly.

github-actions · 2025-11-10T11:04:16Z

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

pandera (https://github.com/pandera-dev/pandera)
- pandera/engines/pandas_engine.py:972: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime | datetime64[date | int | None]"  [arg-type]
+ pandera/engines/pandas_engine.py:972: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime[Any] | datetime64[date | int | None]"  [arg-type]
- pandera/engines/pandas_engine.py:973: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime | datetime64[date | int | None]"  [arg-type]
+ pandera/engines/pandas_engine.py:973: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime[Any] | datetime64[date | int | None]"  [arg-type]
- pandera/engines/pandas_engine.py:974: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime | datetime64[date | int | None]"  [arg-type]
+ pandera/engines/pandas_engine.py:974: error: Argument 1 to "Timestamp" has incompatible type "Any | Hashable"; expected "integer[Any] | float | str | date | datetime[Any] | datetime64[date | int | None]"  [arg-type]
- pandera/strategies/pandas_strategies.py:68: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
+ pandera/strategies/pandas_strategies.py:68: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
- pandera/strategies/pandas_strategies.py:68: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]
+ pandera/strategies/pandas_strategies.py:68: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]
- pandera/strategies/pandas_strategies.py:70: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
+ pandera/strategies/pandas_strategies.py:70: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
- pandera/strategies/pandas_strategies.py:70: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]
+ pandera/strategies/pandas_strategies.py:70: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]
- pandera/strategies/pandas_strategies.py:71: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
+ pandera/strategies/pandas_strategies.py:71: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[True], axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> None
- pandera/strategies/pandas_strategies.py:71: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]
+ pandera/strategies/pandas_strategies.py:71: note:     def mask(self, cond: Series[Any] | Series[bool] | ndarray[tuple[Any, ...], dtype[Any]] | Callable[[Series[Any]], Series[bool]] | Callable[[Any], bool], other: str | bytes | date | datetime[Any] | timedelta | <15 more items> | None = ..., *, inplace: Literal[False] = ..., axis: Literal['index', 0] | None = ..., level: Hashable | None = ...) -> Series[Any]

spark (https://github.com/apache/spark)
- python/pyspark/sql/pandas/types.py:755: error: Argument 1 to "apply" of "Series" has incompatible type "Callable[[Any], Any | NaTType]"; expected "Callable[..., str | bytes | date | datetime | timedelta | <16 more items> | None]"  [arg-type]
+ python/pyspark/sql/pandas/types.py:755: error: Argument 1 to "apply" of "Series" has incompatible type "Callable[[Any], Any | NaTType]"; expected "Callable[..., str | bytes | date | datetime[Any] | timedelta | <16 more items> | None]"  [arg-type]
- python/pyspark/sql/pandas/types.py:755: error: Incompatible return value type (got "Any | NaTType", expected "str | bytes | date | datetime | timedelta | <16 more items> | None")  [return-value]
+ python/pyspark/sql/pandas/types.py:755: error: Incompatible return value type (got "Any | NaTType", expected "str | bytes | date | datetime[Any] | timedelta | <16 more items> | None")  [return-value]
- python/pyspark/pandas/indexing.py:177: error: Incompatible return value type (got "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Any", expected "Series[Any] | DataFrame[Any] | int | float | bool | str | bytes | Decimal | date | datetime | None")  [return-value]
+ python/pyspark/pandas/indexing.py:177: error: Incompatible return value type (got "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Any", expected "Series[Any] | DataFrame[Any] | int | float | bool | str | bytes | Decimal | date | datetime[Any] | None")  [return-value]
- python/pyspark/pandas/generic.py:2681: error: Incompatible return value type (got "Series[Any]", expected "int | float | bool | str | bytes | Decimal | date | datetime | None | tuple[int | float | bool | str | bytes | Decimal | date | datetime | None, ...] | None")  [return-value]
+ python/pyspark/pandas/generic.py:2681: error: Incompatible return value type (got "Series[Any]", expected "int | float | bool | str | bytes | Decimal | date | datetime[Any] | None | tuple[int | float | bool | str | bytes | Decimal | date | datetime[Any] | None, ...] | None")  [return-value]
- python/pyspark/pandas/generic.py:3088: error: Incompatible return value type (got "Series[Any] | pandas.core.frame.DataFrame | str | bytes | date | <9 more items>", expected "int | float | bool | str | bytes | Decimal | date | datetime | None | pyspark.pandas.frame.DataFrame[Any] | Series[Any]")  [return-value]
+ python/pyspark/pandas/generic.py:3088: error: Incompatible return value type (got "Series[Any] | pandas.core.frame.DataFrame | str | bytes | date | <9 more items>", expected "int | float | bool | str | bytes | Decimal | date | datetime[Any] | None | pyspark.pandas.frame.DataFrame[Any] | Series[Any]")  [return-value]
- python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime | datetime64[date | int | None] | Timestamp, end: str | date | datetime | datetime64[date | int | None] | Timestamp, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
+ python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, end: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
- python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime | datetime64[date | int | None] | Timestamp, end: str | date | datetime | datetime64[date | int | None] | Timestamp, periods: int, tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
+ python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, end: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, periods: int, tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
- python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime | datetime64[date | int | None] | Timestamp, *, periods: int, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
+ python/pyspark/pandas/namespace.py:1920: note:     def date_range(start: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, *, periods: int, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
- python/pyspark/pandas/namespace.py:1920: note:     def date_range(*, end: str | date | datetime | datetime64[date | int | None] | Timestamp, periods: int, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
+ python/pyspark/pandas/namespace.py:1920: note:     def date_range(*, end: str | date | datetime[Any] | datetime64[date | int | None] | Timestamp, periods: int, freq: str | timedelta | Timedelta | BaseOffset | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable | None = ..., inclusive: Literal['both', 'neither'] | Literal['left', 'right'] = ..., unit: Literal['s', 'ms', 'us', 'ns'] | None = ...) -> DatetimeIndex
- python/pyspark/pandas/indexes/base.py:2244: error: Incompatible return value type (got "str | bytes | date | timedelta | datetime64[date | int | None] | <7 more items>", expected "int | float | bool | str | bytes | Decimal | date | datetime | None")  [return-value]
+ python/pyspark/pandas/indexes/base.py:2244: error: Incompatible return value type (got "str | bytes | date | timedelta | datetime64[date | int | None] | <7 more items>", expected "int | float | bool | str | bytes | Decimal | date | datetime[Any] | None")  [return-value]

freqtrade (https://github.com/freqtrade/freqtrade)
- freqtrade/data/metrics.py:242: error: Argument 1 to "abs" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "SupportsAbs[object]"  [arg-type]
+ freqtrade/data/metrics.py:242: error: Argument 1 to "abs" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "SupportsAbs[object]"  [arg-type]
- freqtrade/data/metrics.py:243: error: Argument "high_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
+ freqtrade/data/metrics.py:243: error: Argument "high_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
- freqtrade/data/metrics.py:244: error: Argument "low_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
+ freqtrade/data/metrics.py:244: error: Argument "low_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
- freqtrade/data/metrics.py:245: error: Argument "high_value" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
+ freqtrade/data/metrics.py:245: error: Argument "high_value" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
- freqtrade/data/metrics.py:246: error: Argument "low_value" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
+ freqtrade/data/metrics.py:246: error: Argument "low_value" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
- freqtrade/data/metrics.py:247: error: Argument "relative_account_drawdown" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
+ freqtrade/data/metrics.py:247: error: Argument "relative_account_drawdown" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "float"  [arg-type]
- freqtrade/data/metrics.py:249: error: Argument "current_high_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
+ freqtrade/data/metrics.py:249: error: Argument "current_high_date" to "DrawDownResult" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "Timestamp"  [arg-type]
- freqtrade/data/converter/orderflow.py:116: error: Incompatible types in assignment (expression has type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]", variable has type "datetime")  [assignment]
+ freqtrade/data/converter/orderflow.py:116: error: Incompatible types in assignment (expression has type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]", variable has type "datetime[Any]")  [assignment]
- freqtrade/data/converter/orderflow.py:142: error: Incompatible types in assignment (expression has type "dict[Hashable, dict[Hashable, Any]]", target has type "str | bytes | date | datetime | timedelta | <19 more items> | None")  [assignment]
+ freqtrade/data/converter/orderflow.py:142: error: Incompatible types in assignment (expression has type "dict[Hashable, dict[Hashable, Any]]", target has type "str | bytes | date | datetime[Any] | timedelta | <19 more items> | None")  [assignment]
- freqtrade/data/converter/orderflow.py:175: note:     def __rsub__(self, datetime | Timestamp | datetime64[date | int | None], /) -> Timestamp
+ freqtrade/data/converter/orderflow.py:175: note:     def __rsub__(self, datetime[Any] | Timestamp | datetime64[date | int | None], /) -> Timestamp
- freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime, /) -> Never
+ freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime[Any], /) -> Never
+ freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime[tzinfo] | datetime[tzinfo | None], /) -> timedelta
- freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime, /) -> timedelta
+ freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime[None] | datetime[tzinfo | None], /) -> timedelta
- freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, timedelta, /) -> datetime
+ freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, timedelta, /) -> datetime[Any]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("timedelta" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("timedelta" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "timedelta64" matches argument type "datetime"  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "timedelta64" matches argument type "datetime[Any]"  [operator]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("bool" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("bool" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("int" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("int" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("float" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("float" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime | datetime64[date | int | None], /) -> Timedelta
+ freqtrade/data/converter/orderflow.py:175: note:     def __sub__(self, datetime[Any] | datetime64[date | int | None], /) -> Timedelta
- freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "Timedelta" matches argument type "datetime"  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "Timedelta" matches argument type "datetime[Any]"  [operator]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("complex" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("complex" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("integer[Any]" and "datetime")  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: Unsupported operand types for - ("integer[Any]" and "datetime[Any]")  [operator]
- freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "floating" matches argument type "datetime"  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "floating" matches argument type "datetime[Any]"  [operator]
- freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "complexfloating" matches argument type "datetime"  [operator]
+ freqtrade/data/converter/orderflow.py:175: error: No overload variant of "__sub__" of "complexfloating" matches argument type "datetime[Any]"  [operator]
- freqtrade/data/converter/converter.py:108: error: Argument 1 has incompatible type "dict[str, str]"; expected "Callable[[DataFrame], str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str | list[Callable[[DataFrame], str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str] | Mapping[Hashable, Callable[[DataFrame], str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str | list[Callable[[DataFrame], str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str]] | None"  [arg-type]
+ freqtrade/data/converter/converter.py:108: error: Argument 1 has incompatible type "dict[str, str]"; expected "Callable[[DataFrame], str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str | list[Callable[[DataFrame], str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str] | Mapping[Hashable, Callable[[DataFrame], str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str | list[Callable[[DataFrame], str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | Callable[[DataFrame], Series[Any]] | Callable[[DataFrame], DataFrame] | ufunc | str]] | None"  [arg-type]
- freqtrade/optimize/optimize_reports/optimize_reports.py:341: error: Argument 1 to "int" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc"  [arg-type]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:341: error: Argument 1 to "int" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc"  [arg-type]
- freqtrade/optimize/optimize_reports/optimize_reports.py:342: error: Argument 1 to "int" has incompatible type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc"  [arg-type]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:342: error: Argument 1 to "int" has incompatible type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc"  [arg-type]
- freqtrade/strategy/strategy_helper.py:102: error: Invalid index type "tuple[str | bytes | date | timedelta | datetime64[date | int | None] | <7 more items>, str]" for "_AtIndexerFrame"; expected type "tuple[int | str | str_ | Timestamp | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...] | Callable[[DataFrame], Never], int | str | str_ | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...]]"  [index]
+ freqtrade/strategy/strategy_helper.py:102: error: Invalid index type "tuple[str | bytes | date | timedelta | datetime64[date | int | None] | <7 more items>, str]" for "_AtIndexerFrame"; expected type "tuple[int | str | str_ | Timestamp | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...] | Callable[[DataFrame], Never], int | str | str_ | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...]]"  [index]
- freqtrade/strategy/strategy_helper.py:107: note:     def __sub__(self, datetime, /) -> Never
+ freqtrade/strategy/strategy_helper.py:107: note:     def __sub__(self, datetime[Any], /) -> Never
- freqtrade/strategy/strategy_helper.py:108: note:     def __sub__(self, datetime, /) -> Never
+ freqtrade/strategy/strategy_helper.py:108: note:     def __sub__(self, datetime[Any], /) -> Never
- freqtrade/plot/plotting.py:187: error: Invalid index type "tuple[datetime, str]" for "_LocIndexerFrame[DataFrame]"; expected type "slice[Any, Any, Any] | ndarray[tuple[Any, ...], dtype[integer[Any]]] | Index[Any] | list[int] | Series[int] | <6 more items>"  [index]
+ freqtrade/plot/plotting.py:187: error: Invalid index type "tuple[datetime[Any], str]" for "_LocIndexerFrame[DataFrame]"; expected type "slice[Any, Any, Any] | ndarray[tuple[Any, ...], dtype[integer[Any]]] | Index[Any] | list[int] | Series[int] | <6 more items>"  [index]
- freqtrade/plot/plotting.py:188: error: Invalid index type "tuple[datetime, str]" for "_LocIndexerFrame[DataFrame]"; expected type "slice[Any, Any, Any] | ndarray[tuple[Any, ...], dtype[integer[Any]]] | Index[Any] | list[int] | Series[int] | <6 more items>"  [index]
+ freqtrade/plot/plotting.py:188: error: Invalid index type "tuple[datetime[Any], str]" for "_LocIndexerFrame[DataFrame]"; expected type "slice[Any, Any, Any] | ndarray[tuple[Any, ...], dtype[integer[Any]]] | Index[Any] | list[int] | Series[int] | <6 more items>"  [index]
- freqtrade/templates/FreqaiExampleStrategy.py:244: note:     def [ScalarT: str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] __setitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | str_ | <9 more items>, str | bytes | date | datetime | timedelta | <19 more items> | None, /) -> None
+ freqtrade/templates/FreqaiExampleStrategy.py:244: note:     def [ScalarT: str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] __setitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | str_ | <9 more items>, str | bytes | date | datetime[Any] | timedelta | <19 more items> | None, /) -> None
- freqtrade/templates/FreqaiExampleStrategy.py:244: note:     def __setitem__(self, tuple[tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...], Hashable], str | bytes | date | datetime | timedelta | <18 more items> | None, /) -> None
+ freqtrade/templates/FreqaiExampleStrategy.py:244: note:     def __setitem__(self, tuple[tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...], Hashable], str | bytes | date | datetime[Any] | timedelta | <18 more items> | None, /) -> None
- freqtrade/templates/FreqaiExampleStrategy.py:245: error: Unsupported left operand type for & ("tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:245: error: Unsupported left operand type for & ("tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...]")  [operator]
- freqtrade/templates/FreqaiExampleStrategy.py:254: note:     def [ScalarT: str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] __setitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | str_ | <9 more items>, str | bytes | date | datetime | timedelta | <19 more items> | None, /) -> None
+ freqtrade/templates/FreqaiExampleStrategy.py:254: note:     def [ScalarT: str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] __setitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | str_ | <9 more items>, str | bytes | date | datetime[Any] | timedelta | <19 more items> | None, /) -> None
- freqtrade/templates/FreqaiExampleStrategy.py:254: note:     def __setitem__(self, tuple[tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...], Hashable], str | bytes | date | datetime | timedelta | <18 more items> | None, /) -> None
+ freqtrade/templates/FreqaiExampleStrategy.py:254: note:     def __setitem__(self, tuple[tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...], Hashable], str | bytes | date | datetime[Any] | timedelta | <18 more items> | None, /) -> None
- freqtrade/templates/FreqaiExampleStrategy.py:255: error: Unsupported left operand type for & ("tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:255: error: Unsupported left operand type for & ("tuple[Index[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | list[Any] | slice[Any, Any, Any] | tuple[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any], ...], ...]")  [operator]

tornado (https://github.com/tornadoweb/tornado)
+ tornado/test/locale_test.py:100: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:100: error: Argument 1 to "format_date" of "Locale" has incompatible type "timedelta"; expected "int | float | datetime[Any]"  [arg-type]
+ tornado/test/locale_test.py:106: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:106: error: Argument 1 to "format_date" of "Locale" has incompatible type "timedelta"; expected "int | float | datetime[Any]"  [arg-type]
+ tornado/test/locale_test.py:112: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:112: error: Argument 1 to "format_date" of "Locale" has incompatible type "timedelta"; expected "int | float | datetime[Any]"  [arg-type]
+ tornado/test/locale_test.py:119: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:119: error: Argument 1 to "format_date" of "Locale" has incompatible type "timedelta"; expected "int | float | datetime[Any]"  [arg-type]
+ tornado/test/locale_test.py:126: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:126: error: Incompatible types in assignment (expression has type "timedelta", variable has type "datetime[None]")  [assignment]
+ tornado/test/locale_test.py:132: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:132: error: Incompatible types in assignment (expression has type "timedelta", variable has type "datetime[None]")  [assignment]
+ tornado/test/locale_test.py:138: error: Unsupported operand types for - ("object" and "timedelta")  [operator]
+ tornado/test/locale_test.py:138: error: Incompatible types in assignment (expression has type "timedelta", variable has type "datetime[None]")  [assignment]

mongo-python-driver (https://github.com/mongodb/mongo-python-driver)
+ bson/json_util.py:928: error: Unused "type: ignore" comment  [unused-ignore]
+ pymongo/ocsp_cache.py:92: error: Incompatible types in assignment (expression has type "datetime[None]", variable has type "datetime[tzinfo]")  [assignment]
+ pymongo/ocsp_cache.py:126: error: Incompatible types in assignment (expression has type "datetime[None]", variable has type "datetime[tzinfo]")  [assignment]
+ pymongo/ocsp_support.py:283: error: Incompatible types in assignment (expression has type "datetime[None]", variable has type "datetime[tzinfo]")  [assignment]

openlibrary (https://github.com/internetarchive/openlibrary)
+ openlibrary/tests/core/test_unmarshal.py:32: error: Unused "type: ignore" comment  [unused-ignore]
+ openlibrary/tests/core/test_unmarshal.py: note: In function "parse_datetime":
+ openlibrary/tests/core/test_unmarshal.py:32: error: No overload variant of "datetime" matches argument type "Generator[int, None, None]"  [call-overload]
+ openlibrary/tests/core/test_unmarshal.py:32: note: Error code "call-overload" not covered by "type: ignore" comment
+ openlibrary/tests/core/test_unmarshal.py:32: note: Possible overload variants:
+ openlibrary/tests/core/test_unmarshal.py:32: note:     def [_TzInfoT: tzinfo | None] __new__(cls, year: SupportsIndex, month: SupportsIndex, day: SupportsIndex, hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., tzinfo: None = ..., *, fold: int = ...) -> datetime[None]
+ openlibrary/tests/core/test_unmarshal.py:32: note:     def [_TzInfoT: tzinfo | None] __new__(cls, year: SupportsIndex, month: SupportsIndex, day: SupportsIndex, hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., *, tzinfo: tzinfo, fold: int = ...) -> datetime[tzinfo]
+ openlibrary/tests/core/test_unmarshal.py:32: note:     def [_TzInfoT: tzinfo | None] __new__(cls, year: SupportsIndex, month: SupportsIndex, day: SupportsIndex, hour: SupportsIndex, minute: SupportsIndex, second: SupportsIndex, microsecond: SupportsIndex, tzinfo: tzinfo, *, fold: int = ...) -> datetime[tzinfo]

bokeh (https://github.com/bokeh/bokeh)
- src/bokeh/util/serialization.py:168:1: error: Argument 1 to "convert_datetime_type" becomes "Any | Any | Any | datetime | date | time | datetime64[date | int | None]" due to an unfollowed import  [no-any-unimported]
+ src/bokeh/util/serialization.py:168:1: error: Argument 1 to "convert_datetime_type" becomes "Any | Any | Any | datetime[Any] | date | time | datetime64[date | int | None]" due to an unfollowed import  [no-any-unimported]

dulwich (https://github.com/dulwich/dulwich)
+ dulwich/approxidate.py:98: error: Incompatible types in assignment (expression has type "datetime[tzinfo | None]", variable has type "datetime[None]")  [assignment]

alerta (https://github.com/alerta/alerta)
- alerta/models/key.py:24: error: Incompatible default for argument "expire_time" (default has type "None", argument has type "datetime")  [assignment]
+ alerta/models/key.py:24: error: Incompatible default for argument "expire_time" (default has type "None", argument has type "datetime[Any]")  [assignment]
- alerta/models/key.py:54: error: Argument "expire_time" to "ApiKey" has incompatible type "datetime | None"; expected "datetime"  [arg-type]
+ alerta/models/key.py:54: error: Argument "expire_time" to "ApiKey" has incompatible type "datetime[Any] | None"; expected "datetime[Any]"  [arg-type]
- alerta/models/key.py:93: error: Argument "expire_time" to "ApiKey" has incompatible type "Any | None"; expected "datetime"  [arg-type]
+ alerta/models/key.py:93: error: Argument "expire_time" to "ApiKey" has incompatible type "Any | None"; expected "datetime[Any]"  [arg-type]
- alerta/models/heartbeat.py:28: error: Incompatible default for argument "create_time" (default has type "None", argument has type "datetime")  [assignment]
+ alerta/models/heartbeat.py:28: error: Incompatible default for argument "create_time" (default has type "None", argument has type "datetime[Any]")  [assignment]
- alerta/models/heartbeat.py:88: error: Argument "create_time" to "Heartbeat" has incompatible type "datetime | None"; expected "datetime"  [arg-type]
+ alerta/models/heartbeat.py:88: error: Argument "create_time" to "Heartbeat" has incompatible type "datetime[Any] | None"; expected "datetime[Any]"  [arg-type]
- alerta/models/heartbeat.py:124: error: Argument "create_time" to "Heartbeat" has incompatible type "Any | None"; expected "datetime"  [arg-type]
+ alerta/models/heartbeat.py:124: error: Argument "create_time" to "Heartbeat" has incompatible type "Any | None"; expected "datetime[Any]"  [arg-type]

spack (https://github.com/spack/spack)
+ lib/spack/spack/llnl/util/lang.py:640: error: Incompatible types in assignment (expression has type "Callable[[Any], datetime[Any] | datetime[None]]", target has type "Callable[[Any], datetime[tzinfo | None]]")  [assignment]

psycopg (https://github.com/psycopg/psycopg)
+ psycopg/psycopg/types/datetime.py:582: error: Incompatible types in assignment (expression has type "datetime[None]", variable has type "datetime[tzinfo]")  [assignment]

apprise (https://github.com/caronc/apprise)
- apprise/asset.py:283: error: Incompatible types in assignment (expression has type "tzinfo | None", variable has type "None")  [assignment]
- apprise/persistent_store.py:128: error: Incompatible types in assignment (expression has type "datetime", variable has type "None")  [assignment]
+ apprise/persistent_store.py:128: error: Incompatible types in assignment (expression has type "datetime[Any]", variable has type "None")  [assignment]
- apprise/persistent_store.py:136: error: Incompatible types in assignment (expression has type "datetime", variable has type "None")  [assignment]
+ apprise/persistent_store.py:136: error: Incompatible types in assignment (expression has type "datetime[tzinfo]", variable has type "None")  [assignment]
- apprise/persistent_store.py:139: error: Incompatible types in assignment (expression has type "datetime", variable has type "None")  [assignment]
+ apprise/persistent_store.py:139: error: Incompatible types in assignment (expression has type "datetime[tzinfo]", variable has type "None")  [assignment]
- apprise/persistent_store.py:1427: error: Incompatible types in assignment (expression has type "datetime | int", variable has type "int | float | None")  [assignment]
+ apprise/persistent_store.py:1427: error: Incompatible types in assignment (expression has type "datetime[None] | int", variable has type "int | float | None")  [assignment]
- apprise/persistent_store.py:1525: error: Unsupported operand types for > ("datetime" and "None")  [operator]
+ apprise/persistent_store.py:1525: error: No overload variant of "__gt__" of "datetime" matches argument type "None"  [operator]
+ apprise/persistent_store.py:1525: note: Possible overload variants:
+ apprise/persistent_store.py:1525: note:     def __gt__(self, datetime[None] | datetime[tzinfo | None], /) -> bool
+ apprise/persistent_store.py:1525: note:     def __gt__(self, datetime[Any], /) -> Never
- apprise/persistent_store.py:1525: error: Unsupported operand types for < ("int" and "datetime")  [operator]
+ apprise/persistent_store.py:1525: error: Unsupported operand types for < ("int" and "datetime[None]")  [operator]
- apprise/persistent_store.py:1525: error: Unsupported operand types for < ("float" and "datetime")  [operator]
+ apprise/persistent_store.py:1525: error: Unsupported operand types for < ("float" and "datetime[None]")  [operator]

core (https://github.com/home-assistant/core)
- homeassistant/util/dt.py:230: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/util/dt.py:230: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/core.py:1902: error: Returning Any from function declared to return "ReadOnlyDict[str, datetime | Collection[Any]]"  [no-any-return]
+ homeassistant/core.py:1902: error: Returning Any from function declared to return "ReadOnlyDict[str, datetime[Any] | Collection[Any]]"  [no-any-return]
+ homeassistant/components/recorder/models/state.py:77: error: Unused "type: ignore" comment  [unused-ignore]
+ homeassistant/components/recorder/models/state.py:89: error: Unused "type: ignore" comment  [unused-ignore]
+ homeassistant/helpers/sun.py:150: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/helpers/condition.py:783: error: Returning Any from function declared to return "bool"  [no-any-return]
- homeassistant/components/recorder/util.py:378: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/recorder/util.py:378: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
+ homeassistant/components/alexa/auth.py:113: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/components/calendar/__init__.py:503: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/components/tod/binary_sensor.py:141: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/components/sun/condition.py:90: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/components/jewish_calendar/services.py:58: error: Returning Any from function declared to return "bool"  [no-any-return]
+ homeassistant/components/history_stats/helpers.py:89: error: Returning Any from function declared to return "float"  [no-any-return]
+ homeassistant/components/evohome/storage.py:98: error: Incompatible types in assignment (expression has type "datetime[tzinfo | None]", variable has type "datetime[tzinfo]")  [assignment]
- homeassistant/components/evohome/storage.py:98: error: Argument 1 to "fromisoformat" of "date" has incompatible type "object"; expected "str"  [arg-type]
+ homeassistant/components/evohome/storage.py:98: error: Argument 1 to "fromisoformat" of "datetime" has incompatible type "object"; expected "str"  [arg-type]
+ homeassistant/components/calendar/trigger.py:71: error: Returning Any from function declared to return "bool"  [no-any-return]
- homeassistant/components/russound_rio/media_player.py:167: error: Returning Any from function declared to return "datetime"  [no-any-return]
+ homeassistant/components/russound_rio/media_player.py:167: error: Returning Any from function declared to return "datetime[Any]"  [no-any-return]
+ homeassistant/components/nordpool/coordinator.py:67: error: Incompatible types in assignment (expression has type "datetime[tzinfo]", variable has type "datetime[None]")  [assignment]
- homeassistant/components/nest/camera.py:229: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/nest/camera.py:229: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/components/nest/camera.py:261: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/nest/camera.py:261: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/components/jewish_calendar/sensor.py:304: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/jewish_calendar/sensor.py:304: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/components/ecowitt/sensor.py:323: error: Returning Any from function declared to return "str | int | float | None | datetime"  [no-any-return]
+ homeassistant/components/ecowitt/sensor.py:323: error: Returning Any from function declared to return "str | int | float | None | datetime[Any]"  [no-any-return]
- homeassistant/components/discovergy/sensor.py:36: error: Returning Any from function declared to return "datetime | float | None"  [no-any-return]
+ homeassistant/components/discovergy/sensor.py:36: error: Returning Any from function declared to return "datetime[Any] | float | None"  [no-any-return]
+ homeassistant/components/derivative/sensor.py:240: error: Returning Any from function declared to return "float"  [no-any-return]
- homeassistant/components/cambridge_audio/media_player.py:179: error: Returning Any from function declared to return "datetime"  [no-any-return]
+ homeassistant/components/cambridge_audio/media_player.py:179: error: Returning Any from function declared to return "datetime[Any]"  [no-any-return]
- homeassistant/components/vodafone_station/sensor.py:54: error: Returning Any from function declared to return "datetime"  [no-any-return]
+ homeassistant/components/vodafone_station/sensor.py:54: error: Returning Any from function declared to return "datetime[Any]"  [no-any-return]
- homeassistant/components/vallox/sensor.py:71: error: Returning Any from function declared to return "str | int | float | None | datetime"  [no-any-return]
+ homeassistant/components/vallox/sensor.py:71: error: Returning Any from function declared to return "str | int | float | None | datetime[Any]"  [no-any-return]
+ homeassistant/components/statistics/sensor.py:1045: error: Incompatible types in assignment (expression has type "datetime[tzinfo]", variable has type "datetime[None]")  [assignment]
+ homeassistant/components/sensor/recorder.py:162: error: Returning Any from function declared to return "float"  [no-any-return]
+ homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, datetime[tzinfo] | datetime[tzinfo | None], /) -> timedelta
+ homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, datetime[None] | datetime[tzinfo | None], /) -> timedelta
- homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, datetime, /) -> timedelta
+ homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, datetime[Any], /) -> Never
- homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, timedelta, /) -> datetime
+ homeassistant/components/local_calendar/calendar.py:220: note:     def __sub__(self, timedelta, /) -> datetime[Any]
- homeassistant/components/alexa_devices/sensor.py:154: error: Returning Any from function declared to return "str | int | float | None | datetime"  [no-any-return]
+ homeassistant/components/alexa_devices/sensor.py:154: error: Returning Any from function declared to return "str | int | float | None | datetime[Any]"  [no-any-return]
- homeassistant/components/alexa_devices/sensor.py:156: error: Returning Any from function declared to return "str | int | float | None | datetime"  [no-any-return]
+ homeassistant/components/alexa_devices/sensor.py:156: error: Returning Any from function declared to return "str | int | float | None | datetime[Any]"  [no-any-return]
- homeassistant/components/unifiprotect/sensor.py:97: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/unifiprotect/sensor.py:97: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
+ homeassistant/components/onvif/device.py:292: error: Need type annotation for "dt_diff"  [var-annotated]
- homeassistant/components/knx/datetime.py:97: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/knx/datetime.py:97: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/components/habitica/calendar.py:101: error: Redundant cast to "list[datetime]"  [redundant-cast]
+ homeassistant/components/habitica/calendar.py:101: error: Redundant cast to "list[datetime[Any]]"  [redundant-cast]
- homeassistant/components/roku/media_player.py:242: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/roku/media_player.py:242: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]
- homeassistant/components/esphome/sensor.py:110: error: Returning Any from function declared to return "datetime | int | float | None"  [no-any-return]
+ homeassistant/components/esphome/sensor.py:110: error: Returning Any from function declared to return "datetime[Any] | int | float | None"  [no-any-return]
- homeassistant/components/esphome/sensor.py:139: error: Returning Any from function declared to return "str | datetime | date | None"  [no-any-return]
+ homeassistant/components/esphome/sensor.py:139: error: Returning Any from function declared to return "str | datetime[Any] | date | None"  [no-any-return]
- homeassistant/components/dlna_dmr/media_player.py:933: error: Returning Any from function declared to return "datetime | None"  [no-any-return]
+ homeassistant/components/dlna_dmr/media_player.py:933: error: Returning Any from function declared to return "datetime[Any] | None"  [no-any-return]

koda-validate (https://github.com/keithasaurus/koda-validate)
+ koda_validate/generic.py:82: error: Returning Any from function declared to return "bool"  [no-any-return]
+ koda_validate/generic.py:84: error: Returning Any from function declared to return "bool"  [no-any-return]
+ koda_validate/generic.py:94: error: Returning Any from function declared to return "bool"  [no-any-return]
+ koda_validate/generic.py:96: error: Returning Any from function declared to return "bool"  [no-any-return]

materialize (https://github.com/MaterializeInc/materialize)
- misc/python/materialize/scratch.py:74: error: Argument 1 to "fromtimestamp" of "datetime" has incompatible type "str"; expected "float"  [arg-type]
+ misc/python/materialize/scratch.py:74: error: No overload variant of "fromtimestamp" of "datetime" matches argument type "str"  [call-overload]
+ misc/python/materialize/scratch.py:74: note: Possible overload variants:
+ misc/python/materialize/scratch.py:74: note:     def [_TzInfoT: tzinfo | None] fromtimestamp(cls, timestamp: float, tz: None = ...) -> datetime[None]
+ misc/python/materialize/scratch.py:74: note:     def [_TzInfoT: tzinfo | None] fromtimestamp(cls, timestamp: float, tz: tzinfo) -> datetime[tzinfo]
- misc/python/materialize/parallel_workload/parallel_workload.py:413: error: Incompatible types in assignment (expression has type "datetime", variable has type "float")  [assignment]
+ misc/python/materialize/parallel_workload/parallel_workload.py:413: error: Incompatible types in assignment (expression has type "datetime[None]", variable has type "float")  [assignment]
- misc/python/materialize/parallel_workload/parallel_workload.py:414: error: Unsupported operand types for < ("datetime" and "float")  [operator]
+ misc/python/materialize/parallel_workload/parallel_workload.py:414: error: No overload variant of "__lt__" of "datetime" matches argument type "float"  [operator]
+ misc/python/materialize/parallel_workload/parallel_workload.py:414: note: Possible overload variants:
+ misc/python/materialize/parallel_workload/parallel_workload.py:414: note:     def __lt__(self, datetime[None] | datetime[tzinfo | None], /) -> bool
+ misc/python/materialize/parallel_workload/parallel_workload.py:414: note:     def __lt__(self, datetime[Any], /) -> Never

pandas (https://github.com/pandas-dev/pandas)
+ pandas/_libs/tslibs/timestamps.pyi:146: error: Signatures of "__le__" of "Timestamp" and "__ge__" of "datetime[Any]" are unsafely overlapping  [misc]
+ pandas/_libs/tslibs/timestamps.pyi:146: note: Error code "misc" not covered by "type: ignore" comment
+ pandas/_libs/tslibs/timestamps.pyi:147: error: Signatures of "__lt__" of "Timestamp" and "__gt__" of "datetime[Any]" are unsafely overlapping  [misc]
+ pandas/_libs/tslibs/timestamps.pyi:147: note: Error code "misc" not covered by "type: ignore" comment
+ pandas/_libs/tslibs/timestamps.pyi:148: error: Signatures of "__ge__" of "Timestamp" and "__le__" of "datetime[Any]" are unsafely overlapping  [misc]
+ pandas/_libs/tslibs/timestamps.pyi:148: note: Error code "misc" not covered by "type: ignore" comment
+ pandas/_libs/tslibs/timestamps.pyi:149: error: Signatures of "__gt__" of "Timestamp" and "__lt__" of "datetime[Any]" are unsafely overlapping  [misc]
+ pandas/_libs/tslibs/timestamps.pyi:149: note: Error code "misc" not covered by "type: ignore" comment

Tanjun (https://github.com/FasterSpeeding/Tanjun)
+ tanjun/schedules.py:1094: error: Need type annotation for "result"  [var-annotated]
+ tanjun/schedules.py:1096: error: Statement is unreachable  [unreachable]

ibis (https://github.com/ibis-project/ibis)
- ibis/expr/types/temporal.py:1231: error: Argument "right" to "TimestampDelta" has incompatible type "datetime | ibis.expr.types.generic.Value"; expected "ibis.expr.operations.core.Value[Timestamp, Any]"  [arg-type]
+ ibis/expr/types/temporal.py:1231: error: Argument "right" to "TimestampDelta" has incompatible type "datetime[Any] | ibis.expr.types.generic.Value"; expected "ibis.expr.operations.core.Value[Timestamp, Any]"  [arg-type]
- ibis/expr/api.py:2435: error: Argument "start" to "TimestampRange" has incompatible type "Any | datetime | TimestampValue"; expected "Value[Timestamp, Any]"  [arg-type]
+ ibis/expr/api.py:2435: error: Argument "start" to "TimestampRange" has incompatible type "Any | datetime[Any] | TimestampValue"; expected "Value[Timestamp, Any]"  [arg-type]
- ibis/expr/api.py:2436: error: Argument "stop" to "TimestampRange" has incompatible type "Any | datetime | TimestampValue"; expected "Value[Timestamp, Any]"  [arg-type]
+ ibis/expr/api.py:2436: error: Argument "stop" to "TimestampRange" has incompatible type "Any | datetime[Any] | TimestampValue"; expected "Value[Timestamp, Any]"  [arg-type]
- ibis/backends/exasol/__init__.py:308: error: "datetime" has no attribute "tz_convert"  [attr-defined]
+ ibis/backends/exasol/__init__.py:308: error: "datetime[Any]" has no attribute "tz_convert"  [attr-defined]

prefect (https://github.com/PrefectHQ/prefect)
- src/prefect/_internal/schemas/validators.py:237: error: Item "None" of "tzinfo | None" has no attribute "name"  [union-attr]
- src/prefect/server/schemas/schedules.py:60: error: "datetime" has no attribute "in_tz"  [attr-defined]
+ src/prefect/server/schemas/schedules.py:60: error: "datetime[Any]" has no attribute "in_tz"  [attr-defined]
- src/prefect/server/schemas/schedules.py:66: error: "datetime" has no attribute "in_tz"  [attr-defined]
+ src/prefect/server/schemas/schedules.py:66: error: "datetime[Any]" has no attribute "in_tz"  [attr-defined]
- src/prefect/server/schemas/schedules.py:391: error: Item "datetime" of "datetime | Any" has no attribute "in_tz"  [union-attr]
+ src/prefect/server/schemas/schedules.py:391: error: Item "datetime[Any]" of "datetime[Any] | Any" has no attribute "in_tz"  [union-attr]
- src/prefect/server/schemas/schedules.py:406: error: Item "datetime" of "datetime | Any" has no attribute "tz"  [union-attr]
+ src/prefect/server/schemas/schedules.py:406: error: Item "datetime[Any]" of "datetime[Any] | Any" has no attribute "tz"  [union-attr]
- src/prefect/server/schemas/schedules.py:417: error: Item "datetime" of "datetime | Any" has no attribute "naive"  [union-attr]
+ src/prefect/server/schemas/schedules.py:417: error: Item "datetime[Any]" of "datetime[Any] | Any" has no attribute "naive"  [union-attr]
- src/prefect/server/schemas/schedules.py:606: error: Incompatible default for argument "start" (default has type "None", argument has type "datetime")  [assignment]
+ src/prefect/server/schemas/schedules.py:606: error: Incompatible default for argument "start" (default has type "None", argument has type "datetime[Any]")  [assignment]
- src/prefect/server/schemas/schedules.py:607: error: Incompatible default for argument "end" (default has type "None", argument has type "datetime")  [assignment]
+ src/prefect/server/schemas/schedules.py:607: error: Incompatible default for argument "end" (default has type "None", argument has type "datetime[Any]")  [assignment]
- src/prefect/_internal/compatibility/deprecated.py:106: error: Item "str" of "datetime | str | Any | None" has no attribute "strftime"  [union-attr]
+ src/prefect/_internal/compatibility/deprecated.py:106: error: Item "str" of "datetime[Any] | str | Any | None" has no attribute "strftime"  [union-attr]
- src/prefect/_internal/compatibility/deprecated.py:106: error: Item "None" of "datetime | str | Any | None" has no attribute "strftime"  [union-attr]
+ src/prefect/_internal/compatibility/deprecated.py:106: error: Item "None" of "datetime[Any] | str | Any | None" has no attribute "strftime"  [union-attr]
- src/prefect/server/schemas/responses.py:145: error: Incompatible types in assignment (expression has type "datetime", target has type "None")  [assignment]
+ src/prefect/server/schemas/responses.py:145: error: Incompatible types in assignment (expression has type "datetime[Any]", target has type "None")  [assignment]
- src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime | None]"; expected "int | float | timedelta | None"  [arg-type]
+ src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime[Any] | None]"; expected "int | float | timedelta | None"  [arg-type]
- src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime | None]"; expected "datetime | str | None"  [arg-type]
+ src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime[Any] | None]"; expected "datetime[Any] | str | None"  [arg-type]
- src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime | None]"; expected "str | None"  [arg-type]
+ src/prefect/deployments/runner.py:619: error: Argument 1 to "construct_schedule" has incompatible type "**dict[str, str | Any | int | float | timedelta | datetime[Any] | None]"; expected "str | None"  [arg-type]
- src/prefect/testing/fixtures.py:210: error: "datetime" has no attribute "add"  [attr-defined]
+ src/prefect/testing/fixtures.py:210: error: "datetime[Any]" has no attribute "add"  [attr-defined]
- src/prefect/cli/work_queue.py:533: error: Unsupported operand types for > ("datetime" and "None")  [operator]
+ src/prefect/cli/work_queue.py:533: error: No overload variant of "__gt__" of "datetime" matches argument type "None"  [operator]
+ src/prefect/cli/work_queue.py:533: note: Possible overload variants:
+ src/prefect/cli/work_queue.py:533: note:     def __gt__(self, datetime[tzinfo] | datetime[tzinfo | None], /) -> bool
+ src/prefect/cli/work_queue.py:533: note:     def __gt__(self, datetime[None] | datetime[tzinfo | None], /) -> bool
+ src/prefect/cli/work_queue.py:533: note:     def __gt__(self, datetime[Any], /) -> Never
- src/prefect/cli/deployment.py:392: error: Value of "anchor_date" has incompatible type "datetime"; expected "str"  [typeddict-item]
+ src/prefect/cli/deployment.py:392: error: Value of "anchor_date" has incompatible type "datetime[Any]"; expected "str"  [typeddict-item]
- src/prefect/cli/deploy/_schedules.py:61: error: Argument 1 to "IntervalSchedule" has incompatible type "**dict[str, timedelta | Any | datetime]"; expected "timedelta"  [arg-type]
+ src/prefect/cli/deploy/_schedules.py:61: error: Argument 1 to "IntervalSchedule" has incompatible type "**dict[str, timedelta | Any | datetime[Any]]"; expected "timedelta"  [arg-type]
- src/prefect/cli/deploy/_schedules.py:61: error: Argument 1 to "IntervalSchedule" has incompatible type "**dict[str, timedelta | Any | datetime]"; expected "str | None"  [arg-type]
+ src/prefect/cli/deploy/_schedules.py:61: error: Argument 1 to "IntervalSchedule" has incompatible type "**dict[str, timedelta | Any | datetime[Any]]"; expected "str | None"  [arg-type]

DateType (https://github.com/glyph/DateType)
+ src/datetype/__init__.py:482: error: Argument 2 to "fromtimestamp" of "da

... (truncated 84 lines) ...

srittau · 2025-11-10T11:43:44Z

Looking at some of the primer output (unfortunately, there's a lot of spam):

tornado: A bit unfortunate, since mypy infers {"aware": aware_dt, "naive": naive_dt} to be dict[str, object], instead of dict[str, datetime[...]].
mongo-python-driver, dulwich: Since aware and non-aware datetimes are now different objects, constructs like if now.tzinfo is None: now = make_tz_aware(now) won't work anymore in all cases, although I see that as a positive.
openlibrary: Needs update of type ignore.
homeassistant: Would be fixed by tightening the return annotation of their parse_datetime utility function to include the new tzinfo parameter.

Overall while I think that this generates quite a bit of churn, all that churn pays off by preventing really annoying and hard to spot tz awareness bugs.

Make datetime generic over tzinfo

4c32d0c

pre-commit-ci bot and others added 2 commits April 29, 2024 11:59

[pre-commit.ci] auto fixes from pre-commit.com hooks

e2a3800

Ignore stubtest error

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srittau added 5 commits April 29, 2024 14:20

Overload operators

a5492ba

Update some type ignores

d176a1d

Ignore some mypy errors

040dbcb

Make pyright a bit happier

7ce96ea

Add another type ignore

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srittau added 3 commits April 29, 2024 14:47

Make pyright mostly happy

c59db10

Set default to Any

c0d5cc1

Make both, pyright and mypy happy

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srittau added 2 commits April 29, 2024 14:58

Annotate datetime.today()

14aa5d2

Use explicit datetime annotation in test

d8d9d41

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Revert bound, use covariance

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Annotate datetime.strptime()

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srittau added 2 commits April 29, 2024 15:53

Reshuffle annotations; use Any as default again

ce3c470

Add some type ignores

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srittau mentioned this pull request Apr 11, 2025

Distinguish between datetime.datetime objects with a timezone and those without python/typing#1962

Open

srittau mentioned this pull request Nov 9, 2025

Safer types for datetime #14999

Open

srittau and others added 2 commits November 10, 2025 10:59

Merge branch 'main' into datetime-tzinfo

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[pre-commit.ci] auto fixes from pre-commit.com hooks

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srittau added 2 commits November 10, 2025 11:37

Revert unittest tests

510c87f

Fix a test

2b2c314

srittau linked an issue Nov 10, 2025 that may be closed by this pull request

Safer types for datetime #14999

Open

Add another type ignore

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srittau added 2 commits November 10, 2025 11:55

Restore changes to check_unittest

4974026

Fix grouping

d7b69b1

srittau marked this pull request as ready for review November 10, 2025 11:43

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Make datetime generic over tzinfo #11844

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