feat(arithmetic): multiplication

Author: cmp0xff

pandas-stubs/_libs/tslibs/period.pyi

@@ -1,6 +1,7 @@
 import datetime
 from typing import (
     Literal,
+    Self,
     overload,
 )
 
@@ -87,15 +88,23 @@ class Period(PeriodMixin):
     @overload
     def __sub__(self, other: TimedeltaIndex) -> PeriodIndex: ...
     @overload
-    def __add__(self, other: _PeriodAddSub) -> Period: ...
+    def __add__(self, other: _PeriodAddSub) -> Self: ...
     @overload
     def __add__(self, other: NaTType) -> NaTType: ...
     @overload
     def __add__(self, other: Index) -> PeriodIndex: ...
+    # Ignored due to indecipherable error from mypy:
+    # Forward operator "__add__" is not callable  [misc]
     @overload
-    def __add__(
-        self, other: Series[BaseOffset] | Series[Timedelta]
-    ) -> Series[Period]: ...  # pyrefly: ignore[bad-specialization]
+    def __radd__(self, other: _PeriodAddSub) -> Self: ...  # type: ignore[misc]
+    @overload
+    def __radd__(self, other: NaTType) -> NaTType: ...
+    # Real signature is -> PeriodIndex, but conflicts with Index.__add__
+    # Changing Index is very hard due to Index inheritance
+    #   Signatures of "__radd__" of "Period" and "__add__" of "Index"
+    #   are unsafely overlapping
+    @overload
+    def __radd__(self, other: Index) -> PeriodIndex: ...
     #  ignore[misc] here because we know all other comparisons
     #  are False, so we use Literal[False]
     @overload
@@ -168,18 +177,6 @@ class Period(PeriodMixin):
     def __ne__(self, other: np_ndarray[ShapeT, np.object_]) -> np_ndarray[ShapeT, np.bool]: ...  # type: ignore[overload-overlap]
     @overload
     def __ne__(self, other: object) -> Literal[True]: ...
-    # Ignored due to indecipherable error from mypy:
-    # Forward operator "__add__" is not callable  [misc]
-    @overload
-    def __radd__(self, other: _PeriodAddSub) -> Period: ...  # type: ignore[misc]
-    # Real signature is -> PeriodIndex, but conflicts with Index.__add__
-    # Changing Index is very hard due to Index inheritance
-    #   Signatures of "__radd__" of "Period" and "__add__" of "Index"
-    #   are unsafely overlapping
-    @overload
-    def __radd__(self, other: Index) -> Index: ...
-    @overload
-    def __radd__(self, other: NaTType) -> NaTType: ...
     @property
     def day(self) -> int: ...
     @property

pandas-stubs/_libs/tslibs/timedeltas.pyi

@@ -1,6 +1,9 @@
 # pyright: strict
-import datetime as dt
-from datetime import timedelta
+from datetime import (
+    date,
+    datetime,
+    timedelta,
+)
 from typing import (
     ClassVar,
     Literal,
@@ -135,17 +138,17 @@ class Timedelta(timedelta):
     def ceil(self, freq: str | BaseOffset) -> Self: ...
     @property
     def resolution_string(self) -> str: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
-    def __add__(self, other: dt.datetime | np.datetime64) -> Timestamp: ...
+    def __add__(self, other: datetime | np.datetime64) -> Timestamp: ...
     @overload
     def __add__(self, other: timedelta | np.timedelta64) -> Self: ...
     @overload
     def __add__(self, other: NaTType) -> NaTType: ...
     @overload
     def __add__(self, other: Period) -> Period: ...
     @overload
-    def __add__(self, other: dt.date) -> dt.date: ...
+    def __add__(self, other: date) -> date: ...
     @overload
     def __add__(
         self, other: np_ndarray[ShapeT, np.timedelta64]
@@ -155,13 +158,13 @@ class Timedelta(timedelta):
         self, other: np_ndarray[ShapeT, np.datetime64]
     ) -> np_ndarray[ShapeT, np.datetime64]: ...
     @overload
-    def __radd__(self, other: dt.datetime | np.datetime64) -> Timestamp: ...  # type: ignore[misc]
+    def __radd__(self, other: datetime | np.datetime64) -> Timestamp: ...  # type: ignore[misc]
     @overload
     def __radd__(self, other: timedelta | np.timedelta64) -> Self: ...
     @overload
     def __radd__(self, other: NaTType) -> NaTType: ...
     @overload
-    def __radd__(self, other: dt.date) -> dt.date: ...
+    def __radd__(self, other: date) -> date: ...
     @overload
     def __radd__(
         self, other: np_ndarray[ShapeT, np.timedelta64]
@@ -170,7 +173,7 @@ class Timedelta(timedelta):
     def __radd__(
         self, other: np_ndarray[ShapeT, np.datetime64]
     ) -> np_ndarray[ShapeT, np.datetime64]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __sub__(self, other: timedelta | Timedelta | np.timedelta64) -> Timedelta: ...
     @overload
@@ -186,7 +189,7 @@ class Timedelta(timedelta):
     @overload
     def __rsub__(self, other: timedelta | Timedelta | np.timedelta64) -> Timedelta: ...
     @overload
-    def __rsub__(self, other: dt.datetime | Timestamp | np.datetime64) -> Timestamp: ...  # type: ignore[misc]
+    def __rsub__(self, other: datetime | Timestamp | np.datetime64) -> Timestamp: ...  # type: ignore[misc]
     @overload
     def __rsub__(self, other: NaTType) -> NaTType: ...
     @overload
@@ -208,41 +211,28 @@ class Timedelta(timedelta):
     def __neg__(self) -> Timedelta: ...
     def __pos__(self) -> Timedelta: ...
     def __abs__(self) -> Timedelta: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __mul__(self, other: float) -> Timedelta: ...
     @overload
     def __mul__(
-        self, other: np_ndarray[ShapeT, np.integer] | np_ndarray[ShapeT, np.floating]
+        self, other: np_ndarray[ShapeT, np.bool_ | np.integer | np.floating]
     ) -> np_ndarray[ShapeT, np.timedelta64]: ...
     @overload
-    def __mul__(self, other: Series[int]) -> Series[Timedelta]: ...
-    @overload
-    def __mul__(self, other: Series[float]) -> Series[Timedelta]: ...
-    @overload
-    def __mul__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...
-    @overload
     def __rmul__(self, other: float) -> Timedelta: ...
     @overload
     def __rmul__(
-        self, other: np_ndarray[ShapeT, np.floating] | np_ndarray[ShapeT, np.integer]
+        self, other: np_ndarray[ShapeT, np.bool_ | np.integer | np.floating]
     ) -> np_ndarray[ShapeT, np.timedelta64]: ...
-    @overload
-    def __rmul__(self, other: Series[int]) -> Series[Timedelta]: ...
-    @overload
-    def __rmul__(self, other: Series[float]) -> Series[Timedelta]: ...
-    # maybe related to https://github.com/python/mypy/issues/10755
-    @overload
-    def __rmul__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     # error: Signature of "__floordiv__" incompatible with supertype "timedelta"
     @overload  # type: ignore[override]
     def __floordiv__(self, other: timedelta | Timedelta | np.timedelta64) -> int: ...
     @overload
     def __floordiv__(self, other: float) -> Timedelta: ...
     @overload
     def __floordiv__(
-        self, other: np_ndarray[ShapeT, np.integer] | np_ndarray[ShapeT, np.floating]
+        self, other: np_ndarray[ShapeT, np.integer | np.floating]
     ) -> np_ndarray[ShapeT, np.timedelta64]: ...
     @overload
     def __floordiv__(
@@ -266,14 +256,14 @@ class Timedelta(timedelta):
     def __rfloordiv__(
         self, other: np_ndarray[ShapeT, np.timedelta64]
     ) -> np_ndarray[ShapeT, np.int_]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __truediv__(self, other: timedelta | Timedelta | NaTType) -> float: ...
     @overload
     def __truediv__(self, other: float) -> Timedelta: ...
     @overload
     def __truediv__(
-        self, other: np_ndarray[ShapeT, np.integer] | np_ndarray[ShapeT, np.floating]
+        self, other: np_ndarray[ShapeT, np.integer | np.floating]
     ) -> np_ndarray[ShapeT, np.timedelta64]: ...
     @overload
     def __truediv__(self, other: Series[Timedelta]) -> Series[float]: ...
@@ -284,7 +274,7 @@ class Timedelta(timedelta):
     @overload
     def __truediv__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...
     def __rtruediv__(self, other: timedelta | Timedelta | NaTType) -> float: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload
     def __eq__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
     @overload
@@ -297,7 +287,7 @@ class Timedelta(timedelta):
     ) -> np_ndarray[ShapeT, np.bool_]: ...
     @overload
     def __eq__(self, other: object) -> Literal[False]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload
     def __ne__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
     @overload
@@ -310,7 +300,7 @@ class Timedelta(timedelta):
     ) -> np_ndarray[ShapeT, np.bool_]: ...
     @overload
     def __ne__(self, other: object) -> Literal[True]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __mod__(self, other: timedelta) -> Timedelta: ...
     @overload
@@ -321,7 +311,7 @@ class Timedelta(timedelta):
     def __mod__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...
     @overload
     def __mod__(
-        self, other: np_ndarray[ShapeT, np.integer] | np_ndarray[ShapeT, np.floating]
+        self, other: np_ndarray[ShapeT, np.integer | np.floating]
     ) -> np_ndarray[ShapeT, np.timedelta64]: ...
     @overload
     def __mod__(
@@ -330,7 +320,7 @@ class Timedelta(timedelta):
     def __divmod__(self, other: timedelta) -> tuple[int, Timedelta]: ...
     # Mypy complains Forward operator "<inequality op>" is not callable, so ignore misc
     # for le, lt ge and gt
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __le__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[misc]
     @overload
@@ -341,7 +331,7 @@ class Timedelta(timedelta):
     ) -> np_ndarray[ShapeT, np.bool_]: ...
     @overload
     def __le__(self, other: Series[pd.Timedelta]) -> Series[bool]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __lt__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[misc]
     @overload
@@ -352,7 +342,7 @@ class Timedelta(timedelta):
     ) -> np_ndarray[ShapeT, np.bool_]: ...
     @overload
     def __lt__(self, other: Series[pd.Timedelta]) -> Series[bool]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __ge__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[misc]
     @overload
@@ -363,7 +353,7 @@ class Timedelta(timedelta):
     ) -> np_ndarray[ShapeT, np.bool_]: ...
     @overload
     def __ge__(self, other: Series[pd.Timedelta]) -> Series[bool]: ...
-    # Override due to more types supported than dt.timedelta
+    # Override due to more types supported than timedelta
     @overload  # type: ignore[override]
     def __gt__(self, other: timedelta | Timedelta | np.timedelta64) -> bool: ...  # type: ignore[misc]
     @overload

pandas-stubs/_typing.pyi

@@ -173,7 +173,8 @@ RandomState: TypeAlias = (
 )
 
 # dtypes
-NpDtype: TypeAlias = str | np.dtype[np.generic] | type[str | complex | bool | object]
+NpDtypeNoStr: TypeAlias = np.dtype[np.generic] | type[complex | bool | object]
+NpDtype: TypeAlias = str | NpDtypeNoStr | type[str]
 Dtype: TypeAlias = ExtensionDtype | NpDtype
 
 # AstypeArg is more carefully defined here as compared to pandas
@@ -847,19 +848,21 @@ MaskType: TypeAlias = Series[bool] | np_ndarray_bool | list[bool]
 
 T_INT = TypeVar("T_INT", bound=int)
 T_COMPLEX = TypeVar("T_COMPLEX", bound=complex)
-SeriesDTypeNoDateTime: TypeAlias = (
-    str
-    | bytes
+SeriesDTypeNoStrDateTime: TypeAlias = (
+    bytes
     | bool
     | int
     | float
     | complex
-    | Dtype
+    | NpDtypeNoStr
+    | ExtensionDtype
     | Period
     | Interval
     | CategoricalDtype
     | BaseOffset
-    | list[str]
+)
+SeriesDTypeNoDateTime: TypeAlias = (
+    str | SeriesDTypeNoStrDateTime | type[str] | list[str]
 )
 SeriesDType: TypeAlias = (
     SeriesDTypeNoDateTime
@@ -869,6 +872,9 @@ SeriesDType: TypeAlias = (
     | datetime.timedelta  # includes pd.Timedelta
 )
 S1 = TypeVar("S1", bound=SeriesDType, default=Any)
+S1_CO_NSDT = TypeVar(
+    "S1_CO_NSDT", bound=SeriesDTypeNoStrDateTime, default=Any, covariant=True
+)
 S1_CT_NDT = TypeVar(
     "S1_CT_NDT", bound=SeriesDTypeNoDateTime, default=Any, contravariant=True
 )