⬆️ 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(