Fix compatibility with latest pyright

pandas-stubs/_typing.pyi

@@ -437,7 +437,7 @@ class SequenceNotStr(Protocol[_T_co]):
     def __contains__(self, value: object, /) -> bool: ...
     def __len__(self) -> int: ...
     def __iter__(self) -> Iterator[_T_co]: ...
-    def index(self, value: Any, /, start: int = 0, stop: int = ...) -> int: ...
+    def index(self, value: Any, start: int = 0, stop: int = ..., /) -> int: ...
     def count(self, value: Any, /) -> int: ...
     def __reversed__(self) -> Iterator[_T_co]: ...
 

pandas-stubs/core/frame.pyi

@@ -174,7 +174,7 @@ class _LocIndexerFrame(_LocIndexer):
         ],
     ) -> DataFrame: ...
     @overload
-    def __getitem__(
+    def __getitem__(  # pyright: ignore[reportOverlappingOverload]
         self,
         idx: tuple[
             int | StrLike | tuple[Scalar, ...] | Callable[[DataFrame], ScalarT],
@@ -556,7 +556,7 @@ class DataFrame(NDFrame, OpsMixin):
     def T(self) -> DataFrame: ...
     def __getattr__(self, name: str) -> Series: ...
     @overload
-    def __getitem__(self, key: Scalar | tuple[Hashable, ...]) -> Series: ...  # type: ignore[overload-overlap]
+    def __getitem__(self, key: Scalar | tuple[Hashable, ...]) -> Series: ...  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
     @overload
     def __getitem__(self, key: Iterable[Hashable] | slice) -> DataFrame: ...
     @overload

pandas-stubs/core/indexes/interval.pyi

@@ -79,7 +79,7 @@ class IntervalIndex(ExtensionIndex[IntervalT], IntervalMixin):
     ) -> IntervalIndex[IntervalT]: ...
     @overload
     @classmethod
-    def from_breaks(
+    def from_breaks(  # pyright: ignore[reportOverlappingOverload]
         cls,
         breaks: _EdgesInt,
         closed: IntervalClosedType = ...,
@@ -119,7 +119,7 @@ class IntervalIndex(ExtensionIndex[IntervalT], IntervalMixin):
     ) -> IntervalIndex[Interval[pd.Timedelta]]: ...
     @overload
     @classmethod
-    def from_arrays(
+    def from_arrays(  # pyright: ignore[reportOverlappingOverload]
         cls,
         left: _EdgesInt,
         right: _EdgesInt,

pandas-stubs/core/reshape/tile.pyi

@@ -50,7 +50,7 @@ def cut(
     ordered: bool = ...,
 ) -> tuple[npt.NDArray[np.intp], IntervalIndex[IntervalT]]: ...
 @overload
-def cut(  # type: ignore[overload-overlap]
+def cut(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
     x: TimestampSeries,
     bins: int
     | TimestampSeries

pandas-stubs/core/series.pyi

@@ -179,7 +179,7 @@ class _LocIndexerSeries(_LocIndexer, Generic[S1]):
     # ignore needed because of mypy.  Overlapping, but we want to distinguish
     # having a tuple of just scalars, versus tuples that include slices or Index
     @overload
-    def __getitem__(  # type: ignore[overload-overlap]
+    def __getitem__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self,
         idx: Scalar | tuple[Scalar, ...],
         # tuple case is for getting a specific element when using a MultiIndex
@@ -1465,7 +1465,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     ) -> Series: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __and__(  # type: ignore[overload-overlap]
+    def __and__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload
@@ -1499,7 +1499,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def __pow__(self, other: num | _ListLike | Series[S1]) -> Series[S1]: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __or__(  # type: ignore[overload-overlap]
+    def __or__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload
@@ -1512,7 +1512,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def __radd__(self, other: num | _str | _ListLike | Series) -> Series: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __rand__(  # type: ignore[overload-overlap]
+    def __rand__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload
@@ -1526,7 +1526,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def __rpow__(self, other: num | _ListLike | Series[S1]) -> Series[S1]: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __ror__(  # type: ignore[overload-overlap]
+    def __ror__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload
@@ -1535,7 +1535,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def __rtruediv__(self, other: num | _ListLike | Series[S1]) -> Series: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __rxor__(  # type: ignore[overload-overlap]
+    def __rxor__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload
@@ -1559,7 +1559,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     def __truediv__(self, other: num | _ListLike | Series[S1]) -> Series: ...
     # ignore needed for mypy as we want different results based on the arguments
     @overload  # type: ignore[override]
-    def __xor__(  # type: ignore[overload-overlap]
+    def __xor__(  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
         self, other: bool | list[bool] | list[int] | np_ndarray_bool | Series[bool]
     ) -> Series[bool]: ...
     @overload