gh-520: Removed unnecassary types from S1

pandas-stubs/_libs/interval.pyi

@@ -13,6 +13,10 @@ from pandas import (
     Timedelta,
     Timestamp,
 )
+from pandas.core.series import (
+    TimedeltaSeries,
+    TimestampSeries,
+)
 
 from pandas._typing import (
     IntervalClosedType,
@@ -170,23 +174,25 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
     @overload
     def __gt__(
         self,
-        other: Series[int] | Series[float] | Series[Timestamp] | Series[Timedelta],
+        other: Series[int] | Series[float] | TimestampSeries | TimedeltaSeries,
     ) -> Series[bool]: ...
     @overload
     def __lt__(self, other: Interval[_OrderableT]) -> bool: ...
     @overload
     def __lt__(self: IntervalT, other: IntervalIndex[IntervalT]) -> np_ndarray_bool: ...
     @overload
     def __lt__(
-        self, other: Series[int] | Series[float] | Series[Timestamp] | Series[Timedelta]
+        self,
+        other: Series[int] | Series[float] | TimestampSeries | TimedeltaSeries,
     ) -> Series[bool]: ...
     @overload
     def __ge__(self, other: Interval[_OrderableT]) -> bool: ...
     @overload
     def __ge__(self: IntervalT, other: IntervalIndex[IntervalT]) -> np_ndarray_bool: ...
     @overload
     def __ge__(
-        self, other: Series[int] | Series[float] | Series[Timestamp] | Series[Timedelta]
+        self,
+        other: Series[int] | Series[float] | TimestampSeries | TimedeltaSeries,
     ) -> Series[bool]: ...
     @overload
     def __le__(self, other: Interval[_OrderableT]) -> bool: ...

pandas-stubs/_libs/tslibs/period.pyi

@@ -101,41 +101,41 @@ class Period(PeriodMixin):
     @overload
     def __eq__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...  # type: ignore[misc]
     @overload
-    def __eq__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...  # type: ignore[misc]
+    def __eq__(self, other: PeriodSeries) -> Series[bool]: ...  # type: ignore[misc]
     @overload
     def __eq__(self, other: object) -> Literal[False]: ...
     @overload
     def __ge__(self, other: Period) -> bool: ...
     @overload
     def __ge__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...
     @overload
-    def __ge__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...
+    def __ge__(self, other: PeriodSeries) -> Series[bool]: ...
     @overload
     def __gt__(self, other: Period) -> bool: ...
     @overload
     def __gt__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...
     @overload
-    def __gt__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...
+    def __gt__(self, other: PeriodSeries) -> Series[bool]: ...
     @overload
     def __le__(self, other: Period) -> bool: ...
     @overload
     def __le__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...
     @overload
-    def __le__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...
+    def __le__(self, other: PeriodSeries) -> Series[bool]: ...
     @overload
     def __lt__(self, other: Period) -> bool: ...
     @overload
     def __lt__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...
     @overload
-    def __lt__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...
+    def __lt__(self, other: PeriodSeries) -> Series[bool]: ...
     #  ignore[misc] here because we know all other comparisons
     #  are False, so we use Literal[False]
     @overload
     def __ne__(self, other: Period) -> bool: ...  # type: ignore[misc] # pyright: ignore[reportOverlappingOverload]
     @overload
     def __ne__(self, other: PeriodIndex) -> npt.NDArray[np.bool_]: ...  # type: ignore[misc]
     @overload
-    def __ne__(self, other: PeriodSeries | Series[Period]) -> Series[bool]: ...  # type: ignore[misc]
+    def __ne__(self, other: PeriodSeries) -> Series[bool]: ...  # type: ignore[misc]
     @overload
     def __ne__(self, other: object) -> Literal[True]: ...
     # Ignored due to indecipherable error from mypy:

pandas-stubs/_libs/tslibs/timedeltas.pyi

@@ -169,12 +169,11 @@ class Timedelta(timedelta):
     def __add__(self, other: pd.TimedeltaIndex) -> pd.TimedeltaIndex: ...
     @overload
     def __add__(
-        self, other: TimedeltaSeries | Series[pd.Timedelta]
+        self,
+        other: TimedeltaSeries,
     ) -> TimedeltaSeries: ...
     @overload
-    def __add__(
-        self, other: Series[Timestamp] | TimestampSeries
-    ) -> TimestampSeries: ...
+    def __add__(self, other: TimestampSeries) -> TimestampSeries: ...
     @overload
     def __radd__(self, other: np.datetime64) -> Timestamp: ...
     @overload
@@ -277,9 +276,7 @@ class Timedelta(timedelta):
     @overload
     def __floordiv__(self, other: Series[float]) -> TimedeltaSeries: ...
     @overload
-    def __floordiv__(
-        self, other: Series[Timedelta] | TimedeltaSeries
-    ) -> Series[int]: ...
+    def __floordiv__(self, other: TimedeltaSeries) -> Series[int]: ...
     @overload
     def __floordiv__(self, other: NaTType | None) -> float: ...
     @overload
@@ -300,9 +297,7 @@ class Timedelta(timedelta):
         self, other: npt.NDArray[np.integer] | npt.NDArray[np.floating]
     ) -> npt.NDArray[np.timedelta64]: ...
     @overload
-    def __truediv__(
-        self, other: Series[Timedelta] | TimedeltaSeries
-    ) -> Series[float]: ...
+    def __truediv__(self, other: TimedeltaSeries) -> Series[float]: ...
     @overload
     def __truediv__(self, other: Series[int]) -> TimedeltaSeries: ...
     @overload
@@ -347,7 +342,7 @@ class Timedelta(timedelta):
     ) -> npt.NDArray[np.timedelta64]: ...
     @overload
     def __mod__(
-        self, other: Series[int] | Series[float] | Series[Timedelta] | TimedeltaSeries
+        self, other: Series[int] | Series[float] | TimedeltaSeries
     ) -> TimedeltaSeries: ...
     def __divmod__(self, other: timedelta) -> tuple[int, Timedelta]: ...
     # Mypy complains Forward operator "<inequality op>" is not callable, so ignore misc

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -159,25 +159,25 @@ class Timestamp(datetime):
     @overload
     def __le__(self, other: Index | npt.NDArray[np.datetime64]) -> np_ndarray_bool: ...
     @overload
-    def __le__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...
+    def __le__(self, other: TimestampSeries) -> Series[bool]: ...
     @overload  # type: ignore[override]
     def __lt__(self, other: Timestamp | datetime | np.datetime64) -> bool: ...  # type: ignore[misc]
     @overload
     def __lt__(self, other: Index | npt.NDArray[np.datetime64]) -> np_ndarray_bool: ...
     @overload
-    def __lt__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...
+    def __lt__(self, other: TimestampSeries) -> Series[bool]: ...
     @overload  # type: ignore[override]
     def __ge__(self, other: Timestamp | datetime | np.datetime64) -> bool: ...  # type: ignore[misc]
     @overload
     def __ge__(self, other: Index | npt.NDArray[np.datetime64]) -> np_ndarray_bool: ...
     @overload
-    def __ge__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...
+    def __ge__(self, other: TimestampSeries) -> Series[bool]: ...
     @overload  # type: ignore[override]
     def __gt__(self, other: Timestamp | datetime | np.datetime64) -> bool: ...  # type: ignore[misc]
     @overload
     def __gt__(self, other: Index | npt.NDArray[np.datetime64]) -> np_ndarray_bool: ...
     @overload
-    def __gt__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...
+    def __gt__(self, other: TimestampSeries) -> Series[bool]: ...
     # error: Signature of "__add__" incompatible with supertype "date"/"datetime"
     @overload  # type: ignore[override]
     def __add__(
@@ -188,9 +188,7 @@ class Timestamp(datetime):
         self: _DatetimeT, other: timedelta | np.timedelta64 | Tick
     ) -> _DatetimeT: ...
     @overload
-    def __add__(
-        self, other: TimedeltaSeries | Series[Timedelta]
-    ) -> TimestampSeries: ...
+    def __add__(self, other: TimedeltaSeries) -> TimestampSeries: ...
     @overload
     def __add__(self, other: TimedeltaIndex) -> DatetimeIndex: ...
     @overload
@@ -219,15 +217,15 @@ class Timestamp(datetime):
     @overload
     def __eq__(self, other: Timestamp | datetime | np.datetime64) -> bool: ...  # type: ignore[misc] # pyright: ignore[reportOverlappingOverload]
     @overload
-    def __eq__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...  # type: ignore[misc]
+    def __eq__(self, other: TimestampSeries | Series[np.datetime64]) -> Series[bool]: ...  # type: ignore[misc]
     @overload
     def __eq__(self, other: npt.NDArray[np.datetime64] | Index) -> np_ndarray_bool: ...  # type: ignore[misc]
     @overload
     def __eq__(self, other: object) -> Literal[False]: ...
     @overload
     def __ne__(self, other: Timestamp | datetime | np.datetime64) -> bool: ...  # type: ignore[misc] # pyright: ignore[reportOverlappingOverload]
     @overload
-    def __ne__(self, other: TimestampSeries | Series[Timestamp]) -> Series[bool]: ...  # type: ignore[misc]
+    def __ne__(self, other: TimestampSeries | Series[np.datetime64]) -> Series[bool]: ...  # type: ignore[misc]
     @overload
     def __ne__(self, other: npt.NDArray[np.datetime64] | Index) -> np_ndarray_bool: ...  # type: ignore[misc]
     @overload

pandas-stubs/_typing.pyi

@@ -197,9 +197,7 @@ S1 = TypeVar(
     str,
     bytes,
     datetime.date,
-    datetime.datetime,
     datetime.time,
-    datetime.timedelta,
     bool,
     int,
     float,

pandas-stubs/core/indexes/interval.pyi

@@ -56,14 +56,12 @@ _EdgesFloat: TypeAlias = Union[
 _EdgesTimestamp: TypeAlias = Union[
     Sequence[DatetimeLike],
     npt.NDArray[np.datetime64],
-    pd.Series[pd.Timestamp],
     TimestampSeries,
     pd.DatetimeIndex,
 ]
 _EdgesTimedelta: TypeAlias = Union[
     Sequence[pd.Timedelta],
     npt.NDArray[np.timedelta64],
-    pd.Series[pd.Timedelta],
     TimedeltaSeries,
     pd.TimedeltaIndex,
 ]

tests/test_scalars.py

@@ -1256,9 +1256,7 @@ def test_timestamp_cmp() -> None:
     c_dt_datetime = dt.datetime(year=2000, month=1, day=1)
     c_datetimeindex = pd.DatetimeIndex(["2000-1-1"])
     c_np_ndarray_dt64 = np_dt64_arr
-    # Typing provided since there is no way to get a Series[Timestamp],
-    # which is a different type from a TimestampSeries
-    c_series_dt64: pd.Series[pd.Timestamp] = pd.Series(
+    c_series_dt64: pd.Series[np.datetime64] = pd.Series(
         [1, 2, 3], dtype="datetime64[ns]"
     )
     c_series_timestamp = pd.Series(pd.DatetimeIndex(["2000-1-1"]))