fix(comment): remove Series[Int64Dtype]

Author: cmp0xff

.pre-commit-config.yaml

@@ -11,7 +11,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.13.2
+    rev: v0.13.3
     hooks:
     -   id: ruff-check
         args: [

pandas-stubs/core/indexes/accessors.pyi

@@ -17,10 +17,6 @@ from pandas.core.accessor import PandasDelegate
 from pandas.core.arrays.base import ExtensionArray
 from pandas.core.arrays.categorical import Categorical
 from pandas.core.arrays.datetimes import DatetimeArray
-from pandas.core.arrays.integer import (
-    Int64Dtype,
-    IntegerArray,
-)
 from pandas.core.arrays.interval import IntervalArray
 from pandas.core.arrays.period import PeriodArray
 from pandas.core.arrays.timedeltas import TimedeltaArray
@@ -468,10 +464,6 @@ class ArrayDescriptor:
         self, instance: IndexOpsMixin[Never], owner: type[IndexOpsMixin]
     ) -> ExtensionArray: ...
     @overload
-    def __get__(
-        self, instance: IndexOpsMixin[Int64Dtype], owner: type[IndexOpsMixin]
-    ) -> IntegerArray: ...
-    @overload
     def __get__(
         self, instance: IndexOpsMixin[CategoricalDtype], owner: type[IndexOpsMixin]
     ) -> Categorical: ...

tests/series/test_properties.py

@@ -1,16 +1,11 @@
 from typing import (
     TYPE_CHECKING,
-    cast,
 )
 
 import numpy as np
 from pandas.core.arrays import DatetimeArray
 from pandas.core.arrays.base import ExtensionArray
 from pandas.core.arrays.categorical import Categorical
-from pandas.core.arrays.integer import (
-    Int64Dtype,
-    IntegerArray,
-)
 from pandas.core.arrays.interval import IntervalArray
 from pandas.core.arrays.timedeltas import TimedeltaArray
 from pandas.core.frame import DataFrame
@@ -26,7 +21,6 @@
 from typing_extensions import assert_type
 
 from pandas._libs.interval import Interval
-from pandas._libs.missing import NA
 from pandas._libs.tslibs.timedeltas import Timedelta
 from pandas._libs.tslibs.timestamps import Timestamp
 
@@ -70,14 +64,6 @@ def test_property_array() -> None:
     check(
         assert_type(Series([1], dtype="category").array, Categorical), Categorical, int
     )
-    # cast will be removed if pandas-dev/pandas-stubs#1395 is resolved
-    check(
-        assert_type(
-            cast("Series[Int64Dtype]", Series([1, NA], dtype="Int64")).array,
-            IntegerArray,
-        ),
-        IntegerArray,
-    )
     check(
         assert_type(Series(interval_range(0, 1)).array, IntervalArray),
         IntervalArray,