Make IndexOpsMixin (and Index) generic

.pre-commit-config.yaml

@@ -11,7 +11,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.282
+    rev: v0.0.278
     hooks:
     -   id: ruff
         args: [

pandas-stubs/_libs/tslibs/timedeltas.pyi

@@ -251,8 +251,9 @@ class Timedelta(timedelta):
     def __rmul__(self, other: Series[int]) -> TimedeltaSeries: ...
     @overload
     def __rmul__(self, other: Series[float]) -> TimedeltaSeries: ...
+    # maybe related to https://github.com/python/mypy/issues/10755
     @overload
-    def __rmul__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...
+    def __rmul__(self, other: Index[int] | Index[float]) -> TimedeltaIndex: ...  # type: ignore[misc]
     # Override due to more types supported than dt.timedelta
     # error: Signature of "__floordiv__" incompatible with supertype "timedelta"
     @overload  # type: ignore[override]

pandas-stubs/_typing.pyi

@@ -664,26 +664,6 @@ StataDateFormat: TypeAlias = Literal[
 ]
 
 FillnaOptions: TypeAlias = Literal["backfill", "bfill", "ffill", "pad"]
-InterpolateOptions: TypeAlias = Literal[
-    "linear",
-    "time",
-    "index",
-    "pad",
-    "nearest",
-    "zero",
-    "slinear",
-    "quadratic",
-    "cubic",
-    "barycentric",
-    "polynomial",
-    "krogh",
-    "piecewise_polynomial",
-    "spline",
-    "pchip",
-    "akima",
-    "cubicspline",
-    "from_derivatives",
-]
 ReplaceMethod: TypeAlias = Literal["pad", "ffill", "bfill"]
 SortKind: TypeAlias = Literal["quicksort", "mergesort", "heapsort", "stable"]
 NaPosition: TypeAlias = Literal["first", "last"]

pandas-stubs/core/accessor.pyi

@@ -1,8 +1,5 @@
 from typing import Any
 
-class DirNamesMixin:
-    def __dir__(self): ...
-
 class PandasDelegate: ...
 
 def delegate_names(

pandas-stubs/core/arrays/categorical.pyi

@@ -12,10 +12,7 @@ import numpy as np
 from pandas import Series
 from pandas.core.accessor import PandasDelegate as PandasDelegate
 from pandas.core.arrays.base import ExtensionArray as ExtensionArray
-from pandas.core.base import (
-    NoNewAttributesMixin as NoNewAttributesMixin,
-    PandasObject as PandasObject,
-)
+from pandas.core.base import NoNewAttributesMixin as NoNewAttributesMixin
 from pandas.core.indexes.base import Index
 
 from pandas._typing import (
@@ -33,7 +30,7 @@ from pandas.core.dtypes.dtypes import CategoricalDtype as CategoricalDtype
 
 def contains(cat, key, container): ...
 
-class Categorical(ExtensionArray, PandasObject):
+class Categorical(ExtensionArray):
     __array_priority__: int = ...
     def __init__(
         self,
@@ -185,7 +182,7 @@ class Categorical(ExtensionArray, PandasObject):
     def repeat(self, repeats, axis=...): ...
     def isin(self, values): ...
 
-class CategoricalAccessor(PandasDelegate, PandasObject, NoNewAttributesMixin):
+class CategoricalAccessor(PandasDelegate, NoNewAttributesMixin):
     def __init__(self, data) -> None: ...
     @property
     def codes(self) -> Series[int]: ...

pandas-stubs/core/arrays/sparse/array.pyi

@@ -3,11 +3,10 @@ from pandas.core.arrays import (
     ExtensionArray,
     ExtensionOpsMixin,
 )
-from pandas.core.base import PandasObject
 
 from pandas._typing import TakeIndexer
 
-class SparseArray(PandasObject, ExtensionArray, ExtensionOpsMixin):
+class SparseArray(ExtensionArray, ExtensionOpsMixin):
     def __init__(
         self,
         data,

pandas-stubs/core/base.pyi

@@ -6,7 +6,6 @@ from typing import (
 
 import numpy as np
 from pandas import Index
-from pandas.core.accessor import DirNamesMixin
 from pandas.core.arraylike import OpsMixin
 from pandas.core.arrays import ExtensionArray
 from pandas.core.arrays.categorical import Categorical
@@ -21,9 +20,6 @@ from pandas._typing import (
     npt,
 )
 
-class PandasObject(DirNamesMixin):
-    def __sizeof__(self) -> int: ...
-
 class NoNewAttributesMixin:
     def __setattr__(self, key, value) -> None: ...
 

pandas-stubs/core/computation/ops.pyi

@@ -34,7 +34,6 @@ class Term:
     def ndim(self) -> int: ...
 
 class Constant(Term):
-    def __init__(self, value, env, side=..., encoding=...) -> None: ...
     @property
     def name(self): ...
 

pandas-stubs/core/computation/pytables.pyi

@@ -28,7 +28,7 @@ class Term(ops.Term):
     def value(self, new_value) -> None: ...
 
 class Constant(Term):
-    def __init__(self, value, env: PyTablesScope, side=..., encoding=...) -> None: ...
+    def __init__(self, name, env: PyTablesScope, side=..., encoding=...) -> None: ...
 
 class BinOp(ops.BinOp):
     op: str

pandas-stubs/core/frame.pyi

@@ -86,7 +86,6 @@ from pandas._typing import (
     IndexingInt,
     IndexLabel,
     IndexType,
-    InterpolateOptions,
     IntervalClosedType,
     IntervalT,
     JoinHow,
@@ -1705,7 +1704,7 @@ class DataFrame(NDFrame, OpsMixin):
     @overload
     def interpolate(
         self,
-        method: InterpolateOptions = ...,
+        method: _str = ...,
         *,
         axis: Axis = ...,
         limit: int | None = ...,
@@ -1718,7 +1717,7 @@ class DataFrame(NDFrame, OpsMixin):
     @overload
     def interpolate(
         self,
-        method: InterpolateOptions = ...,
+        method: _str = ...,
         *,
         axis: Axis = ...,
         limit: int | None = ...,
@@ -1731,7 +1730,7 @@ class DataFrame(NDFrame, OpsMixin):
     @overload
     def interpolate(
         self,
-        method: InterpolateOptions = ...,
+        method: _str = ...,
         *,
         axis: Axis = ...,
         limit: int | None = ...,

pandas-stubs/core/generic.pyi

@@ -16,7 +16,6 @@ from typing import (
 
 import numpy as np
 from pandas import Index
-from pandas.core.base import PandasObject
 import pandas.core.indexing as indexing
 from pandas.core.series import Series
 import sqlalchemy.engine
@@ -54,7 +53,7 @@ from pandas.io.sql import SQLTable
 _bool = bool
 _str = str
 
-class NDFrame(PandasObject, indexing.IndexingMixin):
+class NDFrame(indexing.IndexingMixin):
     __hash__: ClassVar[None]  # type: ignore[assignment]
 
     def set_flags(

pandas-stubs/core/groupby/groupby.pyi

@@ -4,10 +4,7 @@ from collections.abc import (
 )
 
 import numpy as np
-from pandas.core.base import (
-    PandasObject,
-    SelectionMixin,
-)
+from pandas.core.base import SelectionMixin
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
 from pandas.core.groupby import ops
@@ -21,12 +18,12 @@ from pandas._typing import (
     npt,
 )
 
-class GroupByPlot(PandasObject):
+class GroupByPlot:
     def __init__(self, groupby) -> None: ...
     def __call__(self, *args, **kwargs): ...
     def __getattr__(self, name: str): ...
 
-class BaseGroupBy(PandasObject, SelectionMixin[NDFrameT]):
+class BaseGroupBy(SelectionMixin[NDFrameT]):
     level = ...
     as_index = ...
     keys = ...

pandas-stubs/core/indexes/accessors.pyi

@@ -20,10 +20,7 @@ from pandas.core.arrays import (
     DatetimeArray,
     PeriodArray,
 )
-from pandas.core.base import (
-    NoNewAttributesMixin,
-    PandasObject,
-)
+from pandas.core.base import NoNewAttributesMixin
 from pandas.core.frame import DataFrame
 from pandas.core.series import (
     PeriodSeries,
@@ -39,7 +36,7 @@ from pandas._typing import (
     np_ndarray_bool,
 )
 
-class Properties(PandasDelegate, PandasObject, NoNewAttributesMixin):
+class Properties(PandasDelegate, NoNewAttributesMixin):
     def __init__(self, data: Series, orig) -> None: ...
 
 _DTFieldOpsReturnType = TypeVar("_DTFieldOpsReturnType", Series[int], Index[int])
@@ -346,7 +343,6 @@ class PeriodProperties(
     _IsLeapYearProperty,
     _FreqProperty[BaseOffset],
 ): ...
-
 class CombinedDatetimelikeProperties(
     DatetimeProperties[
         Series[int],
@@ -361,9 +357,7 @@ class CombinedDatetimelikeProperties(
     ],
     _TimedeltaPropertiesNoRounding[Series[int], Series[float]],
     _PeriodProperties,
-):
-    def __new__(cls, data: Series): ...
-
+): ...
 class TimestampProperties(
     DatetimeProperties[
         Series[int],