fix: comments

Author: cmp0xff

.pre-commit-config.yaml

@@ -2,7 +2,7 @@ minimum_pre_commit_version: 2.15.0
 ci:
     autofix_prs: false
 repos:
--   repo: https://github.com/python/black
+-   repo: https://github.com/psf/black
     rev: 25.9.0
     hooks:
     -   id: black
@@ -11,7 +11,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.13.1
+    rev: v0.13.2
     hooks:
     -   id: ruff-check
         args: [

pandas-stubs/_typing.pyi

@@ -825,14 +825,6 @@ np_ndarray_td: TypeAlias = npt.NDArray[np.timedelta64]
 
 # Define shape and generic type variables with defaults similar to numpy
 GenericT = TypeVar("GenericT", bound=np.generic, default=Any)
-TD64ItemT = TypeVar(
-    "TD64ItemT",
-    bound=datetime.timedelta | int | None,
-    default=datetime.timedelta | int | None,
-)
-DT64ItemT = TypeVar(
-    "DT64ItemT", bound=datetime.date | int | None, default=datetime.date | int | None
-)
 GenericT_co = TypeVar("GenericT_co", bound=np.generic, default=Any, covariant=True)
 ShapeT = TypeVar("ShapeT", bound=tuple[int, ...], default=tuple[Any, ...])
 # Numpy ndarray with more ergonomic typevar

pandas-stubs/core/indexes/base.pyi

@@ -477,7 +477,6 @@ class Index(IndexOpsMixin[S1]):
     def __ge__(self, other: Self | S1) -> np_1darray[np.bool]: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
     def __lt__(self, other: Self | S1) -> np_1darray[np.bool]: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
     def __gt__(self, other: Self | S1) -> np_1darray[np.bool]: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
-    # overwrite inherited methods from OpsMixin
     @overload
     def __add__(self: Index[Never], other: _str) -> Never: ...
     @overload

pandas-stubs/core/series.pyi

@@ -4461,7 +4461,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
         level: None = ...,
         numeric_only: _bool = False,
         **kwargs: Any,
-    ) -> Any: ...
+    ) -> float: ...
     @overload
     def mean(
         self: Series[Timestamp],
@@ -4488,7 +4488,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
         level: None = ...,
         numeric_only: _bool = False,
         **kwargs: Any,
-    ) -> Any: ...
+    ) -> float: ...
     @overload
     def median(
         self: Series[complex],
@@ -4633,7 +4633,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
         ddof: int = 1,
         numeric_only: _bool = False,
         **kwargs: Any,
-    ) -> Any: ...
+    ) -> float: ...
     @overload
     def std(
         self: Series[complex],
@@ -4675,7 +4675,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     @overload  # type: ignore[override]
     def to_numpy(  # pyrefly: ignore[bad-override]
         self: Series[Timestamp],
-        dtype: None = None,
+        dtype: None | type[np.datetime64] = None,
         copy: bool = False,
         na_value: Scalar = ...,
         **kwargs,
@@ -4691,7 +4691,7 @@ class Series(IndexOpsMixin[S1], NDFrame):
     @overload
     def to_numpy(  # pyrefly: ignore[bad-override]
         self: Series[Timedelta],
-        dtype: None = None,
+        dtype: None | type[np.timedelta64] = None,
         copy: bool = False,
         na_value: Scalar = ...,
         **kwargs,

tests/indexes/arithmetic/bool/test_add.py

@@ -13,7 +13,6 @@ def test_add_py_scalar() -> None:
     """Test pd.Index[bool] + Python native scalars"""
     b, i, f, c = True, 1, 1.0, 1j
 
-    left.__add__(b)
     check(assert_type(left + b, "pd.Index[bool]"), pd.Index, np.bool_)
     check(assert_type(left + i, "pd.Index[int]"), pd.Index, np.integer)
     check(assert_type(left + f, "pd.Index[float]"), pd.Index, np.floating)

tests/series/test_agg.py

@@ -1,5 +1,3 @@
-from typing import Any
-
 import numpy as np
 import pandas as pd
 from typing_extensions import assert_type
@@ -13,9 +11,9 @@
 
 def test_agg_any_float() -> None:
     series = pd.DataFrame({"A": [1.0, float("nan"), 2.0]})["A"]
-    check(assert_type(series.mean(), Any), np.float64)
-    check(assert_type(series.median(), Any), np.float64)
-    check(assert_type(series.std(), Any), np.float64)
+    check(assert_type(series.mean(), float), np.float64)
+    check(assert_type(series.median(), float), np.float64)
+    check(assert_type(series.std(), float), np.float64)
 
 
 def test_agg_bool() -> None:

tests/test_timefuncs.py

@@ -1042,8 +1042,7 @@ def test_series_types_to_numpy() -> None:
         dtype=np.int64,
     )
     check(
-        # mypy gives error: Expression is of type "ndarray[tuple[int], dtype[timedelta64[Any]]]", not "ndarray[tuple[int], dtype[timedelta64[timedelta | int | None]]]"  [assert-type]
-        assert_type(td_s.to_numpy(dtype=np.timedelta64), np_1darray[np.timedelta64]),  # type: ignore[assert-type]
+        assert_type(td_s.to_numpy(dtype=np.timedelta64), np_1darray[np.timedelta64]),
         np_1darray,
         dtype=np.timedelta64,
     )
@@ -1052,6 +1051,11 @@ def test_series_types_to_numpy() -> None:
         np_1darray,
         dtype=np.int64,
     )
+    check(
+        assert_type(ts_s.to_numpy(dtype=np.datetime64), np_1darray[np.datetime64]),
+        np_1darray,
+        dtype=np.datetime64,
+    )
     check(
         assert_type(p_s.to_numpy(dtype=np.int64), np_1darray[np.int64]),
         np_1darray,