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.

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.

mttbernardini · 2025-12-20T01:27:59Z

Nice to see this getting implemented in typeshed!

Leaving this other attempt for reference: https://github.com/mttbernardini/datetypes

A question I have is in regards of runtime behaviour. How does this PR tackle using the generic datetime in a runtime context, since the actual runtime object doesn't support __class_getitem__()?

glyph · 2025-12-20T01:50:10Z

Great to see this happening! I hope that the stdlib itself can have an update to address the __class_getitem__ issue, but I'd definitely be happy to EOL datetype if this were to land.

github-actions · 2025-12-20T12:44:31Z

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:966: 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:966: 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:967: 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:967: 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:968: 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:968: 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:67: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:67: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:67: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:67: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:69: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:69: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:69: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:69: note:     def mask(self, cond: Series[Any] | Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | Callable[[Series[Any]], Series[builtins.bool]] | Callable[[Any], builtins.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:757: error: Argument 1 to "apply" of "Series" has incompatible type "Callable[[Any], Any | NaTType]"; expected "Callable[..., str | bytes | date | datetime | timedelta | <15 more items> | None]"  [arg-type]
+ python/pyspark/sql/pandas/types.py:757: error: Argument 1 to "apply" of "Series" has incompatible type "Callable[[Any], Any | NaTType]"; expected "Callable[..., str | bytes | date | datetime[Any] | timedelta | <15 more items> | None]"  [arg-type]
- python/pyspark/sql/pandas/types.py:757: error: Incompatible return value type (got "Any | NaTType", expected "str | bytes | date | datetime | timedelta | <15 more items> | None")  [return-value]
+ python/pyspark/sql/pandas/types.py:757: error: Incompatible return value type (got "Any | NaTType", expected "str | bytes | date | datetime[Any] | timedelta | <15 more items> | None")  [return-value]
- python/pyspark/pandas/indexing.py:177: error: Incompatible return value type (got "ndarray[tuple[int], dtype[Any]] | ExtensionArray | 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 "ndarray[tuple[int], dtype[Any]] | ExtensionArray | 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/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] = ..., raw: bool = ..., result_type: None = ..., args: Any = ..., **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] = ..., raw: bool = ..., result_type: None = ..., args: Any = ..., **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] | Literal['columns', 1] = ..., raw: bool = ..., args: Any = ..., *, result_type: Literal['expand', 'reduce'], **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] | Literal['columns', 1] = ..., raw: bool = ..., args: Any = ..., *, result_type: Literal['expand', 'reduce'], **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], raw: bool = ..., result_type: None = ..., args: Any = ..., *, axis: Literal['columns', 1], **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3199: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], raw: bool = ..., result_type: None = ..., args: Any = ..., *, axis: Literal['columns', 1], **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] = ..., raw: bool = ..., result_type: None = ..., args: Any = ..., **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] = ..., raw: bool = ..., result_type: None = ..., args: Any = ..., **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] | Literal['columns', 1] = ..., raw: bool = ..., args: Any = ..., *, result_type: Literal['expand', 'reduce'], **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], axis: Literal['index', 0] | Literal['columns', 1] = ..., raw: bool = ..., args: Any = ..., *, result_type: Literal['expand', 'reduce'], **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta] apply(self, f: Callable[..., S2 | NAType], raw: bool = ..., result_type: None = ..., args: Any = ..., *, axis: Literal['columns', 1], **kwargs: Any) -> Series[S2]
+ python/pyspark/pandas/frame.py:3217: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta] apply(self, f: Callable[..., S2 | NAType], raw: bool = ..., result_type: None = ..., args: Any = ..., *, axis: Literal['columns', 1], **kwargs: Any) -> Series[S2]
- python/pyspark/pandas/series.py:1210: note:     def __getitem__(self, str | bytes | date | datetime | timedelta | <12 more items>, /) -> Any
+ python/pyspark/pandas/series.py:1210: note:     def __getitem__(self, str | bytes | date | datetime[Any] | timedelta | <12 more items>, /) -> Any
- python/pyspark/pandas/series.py:1210: note:     def __getitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | Index[Any] | Series[Any] | SequenceNotStr[float | str | Timestamp] | slice[Any, Any, Any] | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | Sequence[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]] | Callable[..., Any], /) -> Series[Any]
+ python/pyspark/pandas/series.py:1210: note:     def __getitem__(self, Series[builtins.bool] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | list[builtins.bool] | Index[Any] | Series[Any] | SequenceNotStr[float | str | Timestamp] | slice[Any, Any, Any] | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | Sequence[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]] | Callable[..., Any], /) -> Series[Any]
- 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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 = ..., 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 = ..., 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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 | BaseOffset | timedelta | None = ..., tz: str | tzinfo | int | None = ..., normalize: bool = ..., name: Hashable = ..., 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:258: 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:258: 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:259: 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:259: 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:260: 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:260: 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:261: 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:261: 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:262: 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:262: 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:263: 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:263: 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:265: 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:265: 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:134: error: Incompatible types in assignment (expression has type "list[dict[Hashable, Any]]", target has type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None")  [assignment]
+ freqtrade/data/converter/orderflow.py:134: error: Incompatible types in assignment (expression has type "list[dict[Hashable, Any]]", target has type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | 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 | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | 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 | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | 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:109: 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:109: 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/data/converter/converter.py:294: 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_ | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | list[ScalarT], Any | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | None, /) -> None
+ freqtrade/data/converter/converter.py:294: 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_ | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | list[ScalarT], Any | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | None, /) -> None
- freqtrade/data/converter/converter.py:296: 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_ | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | list[ScalarT], Any | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | None, /) -> None
+ freqtrade/data/converter/converter.py:296: 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_ | tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...] | list[ScalarT], Any | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | None, /) -> None
- freqtrade/data/btanalysis/trade_parallelism.py:40: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime | timedelta, HashableT1: Hashable, HashableT2: Hashable, HashableT3: Hashable, HashableT4: Hashable] concat(objs: Iterable[Series[S2] | None] | Mapping[HashableT1, Series[S2] | None], *, axis: Literal['index', 0] = ..., join: Literal['inner', 'outer'] = ..., ignore_index: bool = ..., keys: Iterable[HashableT2] | None = ..., levels: Sequence[list[HashableT3] | tuple[HashableT3, ...]] | None = ..., names: list[HashableT4] | None = ..., verify_integrity: bool = ..., sort: bool = ..., copy: bool = ...) -> Series[S2]
+ freqtrade/data/btanalysis/trade_parallelism.py:40: note:     def [S2: str | bytes | bool | int | float | complex | <6 more items> | type[str] | list[str] | date | time | datetime[Any] | timedelta, HashableT1: Hashable, HashableT2: Hashable, HashableT3: Hashable, HashableT4: Hashable] concat(objs: Iterable[Series[S2] | None] | Mapping[HashableT1, Series[S2] | None], *, axis: Literal['index', 0] = ..., join: Literal['inner', 'outer'] = ..., ignore_index: bool = ..., keys: Iterable[HashableT2] | None = ..., levels: Sequence[list[HashableT3] | tuple[HashableT3, ...]] | None = ..., names: list[HashableT4] | None = ..., verify_integrity: bool = ..., sort: bool = ..., copy: bool = ...) -> Series[S2]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "str" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "str" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "bytes" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "bytes" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "date" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "date" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "datetime" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "datetime[Any]" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "timedelta" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "timedelta" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "bool" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "bool" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "int" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "int" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "float" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "float" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "Timestamp" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "Timestamp" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "Timedelta" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "Timedelta" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "complex" of "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
+ freqtrade/optimize/optimize_reports/optimize_reports.py:64: error: Item "complex" of "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]" has no attribute "copy"  [union-attr]
- 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: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/data/entryexitanalysis.py:58: error: Invalid index type "tuple[Hashable, str]" for "_LocIndexerFrame[DataFrame]"; 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/data/entryexitanalysis.py:58: error: Invalid index type "tuple[Hashable, str]" for "_LocIndexerFrame[DataFrame]"; 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/freqai/data_kitchen.py:444: error: Incompatible types in assignment (expression has type "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str]", target has type "str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None] | Sequence[Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None]] | Mapping[Any, str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None] | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | DataFrame")  [assignment]
+ freqtrade/freqai/data_kitchen.py:444: error: Incompatible types in assignment (expression has type "Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | complex | bytes | str | _NestedSequence[complex | bytes | str]", target has type "str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None] | Sequence[Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None]] | Mapping[Any, str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any] | NAType | NaTType | None] | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | IndexOpsMixin[Any, Any] | DataFrame")  [assignment]
- freqtrade/plot/plotting.py:187: error: Invalid index type "tuple[datetime, str]" for "_LocIndexerFrame[DataFrame]"; 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/plot/plotting.py:187: error: Invalid index type "tuple[datetime[Any], str]" for "_LocIndexerFrame[DataFrame]"; 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/plot/plotting.py:188: error: Invalid index type "tuple[datetime, str]" for "_LocIndexerFrame[DataFrame]"; 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/plot/plotting.py:188: error: Invalid index type "tuple[datetime[Any], str]" for "_LocIndexerFrame[DataFrame]"; 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/templates/FreqaiExampleStrategy.py:245: error: Invalid index type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], list[str]]" for "_LocIndexerFrame[DataFrame]"; expected type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], Hashable]"  [index]
+ freqtrade/templates/FreqaiExampleStrategy.py:245: error: Invalid index type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], list[str]]" for "_LocIndexerFrame[DataFrame]"; expected type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], Hashable]"  [index]
- freqtrade/templates/FreqaiExampleStrategy.py:245: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:245: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
- freqtrade/templates/FreqaiExampleStrategy.py:245: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
+ freqtrade/templates/FreqaiExampleStrategy.py:245: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
- freqtrade/templates/FreqaiExampleStrategy.py:255: error: Invalid index type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], list[str]]" for "_LocIndexerFrame[DataFrame]"; expected type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], Hashable]"  [index]
+ freqtrade/templates/FreqaiExampleStrategy.py:255: error: Invalid index type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], list[str]]" for "_LocIndexerFrame[DataFrame]"; expected type "tuple[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...], Hashable]"  [index]
- freqtrade/templates/FreqaiExampleStrategy.py:255: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:255: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
- freqtrade/templates/FreqaiExampleStrategy.py:255: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
+ freqtrade/templates/FreqaiExampleStrategy.py:255: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
- freqtrade/templates/FreqaiExampleStrategy.py:263: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:263: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
- freqtrade/templates/FreqaiExampleStrategy.py:263: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
+ freqtrade/templates/FreqaiExampleStrategy.py:263: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
- freqtrade/templates/FreqaiExampleStrategy.py:267: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
+ freqtrade/templates/FreqaiExampleStrategy.py:267: error: Unsupported left operand type for & ("tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]")  [operator]
- freqtrade/templates/FreqaiExampleStrategy.py:267: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]
+ freqtrade/templates/FreqaiExampleStrategy.py:267: error: Argument 2 to "reduce" has incompatible type "list[Series[builtins.bool]]"; expected "Iterable[tuple[IndexOpsMixin[Any, 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] | Sequence[str | bytes | date | datetime[Any] | timedelta | <7 more items> | complex | integer[Any] | floating[Any] | complexfloating[Any, Any]] | slice[Any, Any, Any], ...]]"  [arg-type]

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")  [oper

... (truncated 346 lines) ...

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

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Ignore stubtest error

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srittau added 5 commits April 29, 2024 14:20

Overload operators

a5492ba

Update some type ignores

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Ignore some mypy errors

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Make pyright a bit happier

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Add another type ignore

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srittau added 3 commits April 29, 2024 14:47

Make pyright mostly happy

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Set default to Any

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Make both, pyright and mypy happy

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srittau added 2 commits April 29, 2024 14:58

Annotate datetime.today()

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Use explicit datetime annotation in test

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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

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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

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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

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Fix a test

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

Safer types for datetime #14999

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Add another type ignore

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srittau added 2 commits November 10, 2025 11:55

Restore changes to check_unittest

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Fix grouping

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

m-aciek mentioned this pull request Dec 20, 2025

Path to integrate DateType into the standard library glyph/DateType#16

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Merge branch 'main' into datetime-tzinfo

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Make datetime generic over tzinfo #11844

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Make datetime generic over tzinfo #11844

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