⬆️ UPGRADE: Autoupdate pre-commit config (#54043)

* ⬆️ UPGRADE: Autoupdate pre-commit config

* add codespell, ignore RUF012

* noqa RUF011, ignore another ruff code

* Rename

---------

Co-authored-by: MarcoGorelli <[email protected]>

Author: mroeschke

.pre-commit-config.yaml

@@ -21,7 +21,7 @@ repos:
     hooks:
       - id: black
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.270
+    rev: v0.0.275
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
@@ -33,7 +33,7 @@ repos:
         pass_filenames: true
         require_serial: false
 -   repo: https://github.com/codespell-project/codespell
-    rev: v2.2.4
+    rev: v2.2.5
     hooks:
     -   id: codespell
         types_or: [python, rst, markdown, cython, c]
@@ -91,7 +91,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v3.4.0
+    rev: v3.7.0
     hooks:
     -   id: pyupgrade
         args: [--py39-plus]

pandas/_libs/algos.pyi

@@ -5,10 +5,6 @@ import numpy as np
 from pandas._typing import npt
 
 class Infinity:
-    """
-    Provide a positive Infinity comparison method for ranking.
-    """
-
     def __eq__(self, other) -> bool: ...
     def __ne__(self, other) -> bool: ...
     def __lt__(self, other) -> bool: ...
@@ -17,10 +13,6 @@ class Infinity:
     def __ge__(self, other) -> bool: ...
 
 class NegInfinity:
-    """
-    Provide a negative Infinity comparison method for ranking.
-    """
-
     def __eq__(self, other) -> bool: ...
     def __ne__(self, other) -> bool: ...
     def __lt__(self, other) -> bool: ...

pandas/core/algorithms.py

@@ -1322,7 +1322,7 @@ def searchsorted(
     arr: ArrayLike,
     value: NumpyValueArrayLike | ExtensionArray,
     side: Literal["left", "right"] = "left",
-    sorter: NumpySorter = None,
+    sorter: NumpySorter | None = None,
 ) -> npt.NDArray[np.intp] | np.intp:
     """
     Find indices where elements should be inserted to maintain order.

pandas/core/arrays/_mixins.py

@@ -233,7 +233,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         npvalue = self._validate_setitem_value(value)
         return self._ndarray.searchsorted(npvalue, side=side, sorter=sorter)

pandas/core/arrays/arrow/array.py

@@ -1056,7 +1056,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         if self._hasna:
             raise ValueError(

pandas/core/arrays/base.py

@@ -926,7 +926,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         """
         Find indices where elements should be inserted to maintain order.

pandas/core/arrays/masked.py

@@ -922,7 +922,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         if self._hasna:
             raise ValueError(

pandas/core/arrays/period.py

@@ -781,7 +781,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         npvalue = self._validate_setitem_value(value).view("M8[ns]")
 

pandas/core/arrays/sparse/array.py

@@ -1134,7 +1134,7 @@ def searchsorted(
         self,
         v: ArrayLike | object,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         msg = "searchsorted requires high memory usage."
         warnings.warn(msg, PerformanceWarning, stacklevel=find_stack_level())

pandas/core/arrays/string_.py

@@ -513,7 +513,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         if self._hasna:
             raise ValueError(

pandas/core/base.py

@@ -1307,7 +1307,7 @@ def searchsorted(
         self,
         value: NumpyValueArrayLike | ExtensionArray,
         side: Literal["left", "right"] = "left",
-        sorter: NumpySorter = None,
+        sorter: NumpySorter | None = None,
     ) -> npt.NDArray[np.intp] | np.intp:
         if isinstance(value, ABCDataFrame):
             msg = (

pandas/core/dtypes/dtypes.py

@@ -219,7 +219,7 @@ def _from_fastpath(
 
     @classmethod
     def _from_categorical_dtype(
-        cls, dtype: CategoricalDtype, categories=None, ordered: Ordered = None
+        cls, dtype: CategoricalDtype, categories=None, ordered: Ordered | None = None
     ) -> CategoricalDtype:
         if categories is ordered is None:
             return dtype

pandas/core/frame.py

@@ -2563,7 +2563,7 @@ def to_stata(
         version: int | None = 114,
         convert_strl: Sequence[Hashable] | None = None,
         compression: CompressionOptions = "infer",
-        storage_options: StorageOptions = None,
+        storage_options: StorageOptions | None = None,
         value_labels: dict[Hashable, dict[float, str]] | None = None,
     ) -> None:
         """
@@ -2758,7 +2758,7 @@ def to_markdown(
         buf: FilePath | WriteBuffer[str] | None = None,
         mode: str = "wt",
         index: bool = True,
-        storage_options: StorageOptions = None,
+        storage_options: StorageOptions | None = None,
         **kwargs,
     ) -> str | None:
         if "showindex" in kwargs:
@@ -2810,7 +2810,7 @@ def to_parquet(
         compression: str | None = "snappy",
         index: bool | None = None,
         partition_cols: list[str] | None = None,
-        storage_options: StorageOptions = None,
+        storage_options: StorageOptions | None = None,
         **kwargs,
     ) -> bytes | None:
         """
@@ -3179,7 +3179,7 @@ def to_xml(
         parser: XMLParsers | None = "lxml",
         stylesheet: FilePath | ReadBuffer[str] | ReadBuffer[bytes] | None = None,
         compression: CompressionOptions = "infer",
-        storage_options: StorageOptions = None,
+        storage_options: StorageOptions | None = None,
     ) -> str | None:
         """
         Render a DataFrame to an XML document.
@@ -5080,12 +5080,12 @@ def drop(
 
     def drop(
         self,
-        labels: IndexLabel = None,
+        labels: IndexLabel | None = None,
         *,
         axis: Axis = 0,
-        index: IndexLabel = None,
-        columns: IndexLabel = None,
-        level: Level = None,
+        index: IndexLabel | None = None,
+        columns: IndexLabel | None = None,
+        level: Level | None = None,
         inplace: bool = False,
         errors: IgnoreRaise = "raise",
     ) -> DataFrame | None:
@@ -5290,7 +5290,7 @@ def rename(
         axis: Axis | None = None,
         copy: bool | None = None,
         inplace: bool = False,
-        level: Level = None,
+        level: Level | None = None,
         errors: IgnoreRaise = "ignore",
     ) -> DataFrame | None:
         """
@@ -5805,7 +5805,7 @@ def reset_index(
         col_level: Hashable = ...,
         col_fill: Hashable = ...,
         allow_duplicates: bool | lib.NoDefault = ...,
-        names: Hashable | Sequence[Hashable] = None,
+        names: Hashable | Sequence[Hashable] | None = None,
     ) -> DataFrame:
         ...
 
@@ -5819,7 +5819,7 @@ def reset_index(
         col_level: Hashable = ...,
         col_fill: Hashable = ...,
         allow_duplicates: bool | lib.NoDefault = ...,
-        names: Hashable | Sequence[Hashable] = None,
+        names: Hashable | Sequence[Hashable] | None = None,
     ) -> None:
         ...
 
@@ -5833,20 +5833,20 @@ def reset_index(
         col_level: Hashable = ...,
         col_fill: Hashable = ...,
         allow_duplicates: bool | lib.NoDefault = ...,
-        names: Hashable | Sequence[Hashable] = None,
+        names: Hashable | Sequence[Hashable] | None = None,
     ) -> DataFrame | None:
         ...
 
     def reset_index(
         self,
-        level: IndexLabel = None,
+        level: IndexLabel | None = None,
         *,
         drop: bool = False,
         inplace: bool = False,
         col_level: Hashable = 0,
         col_fill: Hashable = "",
         allow_duplicates: bool | lib.NoDefault = lib.no_default,
-        names: Hashable | Sequence[Hashable] = None,
+        names: Hashable | Sequence[Hashable] | None = None,
     ) -> DataFrame | None:
         """
         Reset the index, or a level of it.
@@ -6142,7 +6142,7 @@ def dropna(
         axis: Axis = 0,
         how: AnyAll | lib.NoDefault = lib.no_default,
         thresh: int | lib.NoDefault = lib.no_default,
-        subset: IndexLabel = None,
+        subset: IndexLabel | None = None,
         inplace: bool = False,
         ignore_index: bool = False,
     ) -> DataFrame | None:
@@ -6579,7 +6579,7 @@ def sort_values(
         kind: SortKind = "quicksort",
         na_position: str = "last",
         ignore_index: bool = False,
-        key: ValueKeyFunc = None,
+        key: ValueKeyFunc | None = None,
     ) -> DataFrame | None:
         """
         Sort by the values along either axis.
@@ -6858,14 +6858,14 @@ def sort_index(
         self,
         *,
         axis: Axis = 0,
-        level: IndexLabel = None,
+        level: IndexLabel | None = None,
         ascending: bool | Sequence[bool] = True,
         inplace: bool = False,
         kind: SortKind = "quicksort",
         na_position: NaPosition = "last",
         sort_remaining: bool = True,
         ignore_index: bool = False,
-        key: IndexKeyFunc = None,
+        key: IndexKeyFunc | None = None,
     ) -> DataFrame | None:
         """
         Sort object by labels (along an axis).
@@ -7633,7 +7633,11 @@ def _should_reindex_frame_op(self, right, op, axis: int, fill_value, level) -> b
         return False
 
     def _align_for_op(
-        self, other, axis: AxisInt, flex: bool | None = False, level: Level = None
+        self,
+        other,
+        axis: AxisInt,
+        flex: bool | None = False,
+        level: Level | None = None,
     ):
         """
         Convert rhs to meet lhs dims if input is list, tuple or np.ndarray.
@@ -9387,7 +9391,7 @@ def melt(
         value_vars=None,
         var_name=None,
         value_name: Hashable = "value",
-        col_level: Level = None,
+        col_level: Level | None = None,
         ignore_index: bool = True,
     ) -> DataFrame:
         return melt(