Bump ruff to latest version

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ ci:
     skip: [pylint, pyright, mypy]
 repos:
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.13
+    rev: v0.3.1
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]

asv_bench/benchmarks/indexing.py

@@ -3,6 +3,7 @@
 lower-level methods directly on Index and subclasses, see index_object.py,
 indexing_engine.py, and index_cached.py
 """
+
 from datetime import datetime
 import warnings
 

asv_bench/benchmarks/libs.py

@@ -5,6 +5,7 @@
 If a PR does not edit anything in _libs/, then it is unlikely that the
 benchmarks will be affected.
 """
+
 import numpy as np
 
 from pandas._libs.lib import (

asv_bench/benchmarks/package.py

@@ -1,6 +1,7 @@
 """
 Benchmarks for pandas at the package-level.
 """
+
 import subprocess
 import sys
 

asv_bench/benchmarks/period.py

@@ -2,6 +2,7 @@
 Period benchmarks with non-tslibs dependencies.  See
 benchmarks.tslibs.period for benchmarks that rely only on tslibs.
 """
+
 from pandas import (
     DataFrame,
     Period,

asv_bench/benchmarks/tslibs/offsets.py

@@ -2,6 +2,7 @@
 offsets benchmarks that rely only on tslibs.  See benchmarks.offset for
 offsets benchmarks that rely on other parts of pandas.
 """
+
 from datetime import datetime
 
 import numpy as np

asv_bench/benchmarks/tslibs/resolution.py

@@ -17,6 +17,7 @@
             df.loc[key] = (val.average, val.stdev)
 
 """
+
 import numpy as np
 
 try:

asv_bench/benchmarks/tslibs/timedelta.py

@@ -2,6 +2,7 @@
 Timedelta benchmarks that rely only on tslibs. See benchmarks.timedeltas for
 Timedelta benchmarks that rely on other parts of pandas.
 """
+
 import datetime
 
 import numpy as np

asv_bench/benchmarks/tslibs/tslib.py

@@ -15,6 +15,7 @@
             val = %timeit -o tr.time_ints_to_pydatetime(box, size, tz)
             df.loc[key] = (val.average, val.stdev)
 """
+
 from datetime import (
     timedelta,
     timezone,

doc/make.py

@@ -11,6 +11,7 @@
     $ python make.py html
     $ python make.py latex
 """
+
 import argparse
 import csv
 import importlib

pandas/_config/__init__.py

@@ -5,6 +5,7 @@
 importing `dates` and `display` ensures that keys needed by _libs
 are initialized.
 """
+
 __all__ = [
     "config",
     "detect_console_encoding",

pandas/_config/config.py

@@ -688,15 +688,13 @@ def _build_option_description(k: str) -> str:
 @overload
 def pp_options_list(
     keys: Iterable[str], *, width: int = ..., _print: Literal[False] = ...
-) -> str:
-    ...
+) -> str: ...
 
 
 @overload
 def pp_options_list(
     keys: Iterable[str], *, width: int = ..., _print: Literal[True]
-) -> None:
-    ...
+) -> None: ...
 
 
 def pp_options_list(

pandas/_config/dates.py

@@ -1,6 +1,7 @@
 """
 config for datetime formatting
 """
+
 from __future__ import annotations
 
 from pandas._config import config as cf

pandas/_config/localization.py

@@ -3,6 +3,7 @@
 
 Name `localization` is chosen to avoid overlap with builtin `locale` module.
 """
+
 from __future__ import annotations
 
 from contextlib import contextmanager

pandas/_testing/_hypothesis.py

@@ -1,6 +1,7 @@
 """
 Hypothesis data generator helpers.
 """
+
 from datetime import datetime
 
 from hypothesis import strategies as st

pandas/_testing/compat.py

@@ -1,6 +1,7 @@
 """
 Helpers for sharing tests between DataFrame/Series
 """
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING

pandas/_typing.py

@@ -140,30 +140,22 @@
 
 class SequenceNotStr(Protocol[_T_co]):
     @overload
-    def __getitem__(self, index: SupportsIndex, /) -> _T_co:
-        ...
+    def __getitem__(self, index: SupportsIndex, /) -> _T_co: ...
 
     @overload
-    def __getitem__(self, index: slice, /) -> Sequence[_T_co]:
-        ...
+    def __getitem__(self, index: slice, /) -> Sequence[_T_co]: ...
 
-    def __contains__(self, value: object, /) -> bool:
-        ...
+    def __contains__(self, value: object, /) -> bool: ...
 
-    def __len__(self) -> int:
-        ...
+    def __len__(self) -> int: ...
 
-    def __iter__(self) -> Iterator[_T_co]:
-        ...
+    def __iter__(self) -> Iterator[_T_co]: ...
 
-    def index(self, value: Any, start: int = ..., stop: int = ..., /) -> int:
-        ...
+    def index(self, value: Any, start: int = ..., stop: int = ..., /) -> int: ...
 
-    def count(self, value: Any, /) -> int:
-        ...
+    def count(self, value: Any, /) -> int: ...
 
-    def __reversed__(self) -> Iterator[_T_co]:
-        ...
+    def __reversed__(self) -> Iterator[_T_co]: ...
 
 
 ListLike = Union[AnyArrayLike, SequenceNotStr, range]
@@ -317,13 +309,11 @@ def flush(self) -> Any:
 
 
 class ReadPickleBuffer(ReadBuffer[bytes], Protocol):
-    def readline(self) -> bytes:
-        ...
+    def readline(self) -> bytes: ...
 
 
 class WriteExcelBuffer(WriteBuffer[bytes], Protocol):
-    def truncate(self, size: int | None = ...) -> int:
-        ...
+    def truncate(self, size: int | None = ...) -> int: ...
 
 
 class ReadCsvBuffer(ReadBuffer[AnyStr_co], Protocol):

pandas/_version.py

@@ -358,9 +358,9 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, runner=run_command):
             if verbose:
                 fmt = "tag '%s' doesn't start with prefix '%s'"
                 print(fmt % (full_tag, tag_prefix))
-            pieces[
-                "error"
-            ] = f"tag '{full_tag}' doesn't start with prefix '{tag_prefix}'"
+            pieces["error"] = (
+                f"tag '{full_tag}' doesn't start with prefix '{tag_prefix}'"
+            )
             return pieces
         pieces["closest-tag"] = full_tag[len(tag_prefix) :]
 

pandas/api/__init__.py

@@ -1,4 +1,5 @@
-""" public toolkit API """
+"""public toolkit API"""
+
 from pandas.api import (
     extensions,
     indexers,

pandas/arrays/__init__.py

@@ -3,6 +3,7 @@
 
 See :ref:`extending.extension-types` for more.
 """
+
 from pandas.core.arrays import (
     ArrowExtensionArray,
     ArrowStringArray,

pandas/compat/__init__.py

@@ -7,6 +7,7 @@
 Other items:
 * platform checker
 """
+
 from __future__ import annotations
 
 import os

pandas/compat/_optional.py

@@ -91,8 +91,7 @@ def import_optional_dependency(
     min_version: str | None = ...,
     *,
     errors: Literal["raise"] = ...,
-) -> types.ModuleType:
-    ...
+) -> types.ModuleType: ...
 
 
 @overload
@@ -102,8 +101,7 @@ def import_optional_dependency(
     min_version: str | None = ...,
     *,
     errors: Literal["warn", "ignore"],
-) -> types.ModuleType | None:
-    ...
+) -> types.ModuleType | None: ...
 
 
 def import_optional_dependency(

pandas/compat/numpy/__init__.py

@@ -1,4 +1,5 @@
-""" support numpy compatibility across versions """
+"""support numpy compatibility across versions"""
+
 import warnings
 
 import numpy as np

pandas/compat/numpy/function.py

@@ -15,6 +15,7 @@
 methods that are spread throughout the codebase. This module will make it
 easier to adjust to future upstream changes in the analogous numpy signatures.
 """
+
 from __future__ import annotations
 
 from typing import (
@@ -179,13 +180,11 @@ def validate_argsort_with_ascending(ascending: bool | int | None, args, kwargs)
 
 
 @overload
-def validate_clip_with_axis(axis: ndarray, args, kwargs) -> None:
-    ...
+def validate_clip_with_axis(axis: ndarray, args, kwargs) -> None: ...
 
 
 @overload
-def validate_clip_with_axis(axis: AxisNoneT, args, kwargs) -> AxisNoneT:
-    ...
+def validate_clip_with_axis(axis: AxisNoneT, args, kwargs) -> AxisNoneT: ...
 
 
 def validate_clip_with_axis(

pandas/compat/pickle_compat.py

@@ -1,6 +1,7 @@
 """
 Pickle compatibility to pandas version 1.0
 """
+
 from __future__ import annotations
 
 import contextlib

pandas/compat/pyarrow.py

@@ -1,4 +1,4 @@
-""" support pyarrow compatibility across versions """
+"""support pyarrow compatibility across versions"""
 
 from __future__ import annotations
 

pandas/conftest.py

@@ -17,6 +17,7 @@
 - Dtypes
 - Misc
 """
+
 from __future__ import annotations
 
 from collections import abc

pandas/core/_numba/kernels/mean_.py

@@ -6,6 +6,7 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING

pandas/core/_numba/kernels/min_max_.py

@@ -6,6 +6,7 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING

pandas/core/_numba/kernels/sum_.py

@@ -6,6 +6,7 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
+
 from __future__ import annotations
 
 from typing import (

pandas/core/_numba/kernels/var_.py

@@ -6,6 +6,7 @@
 
 Mirrors pandas/_libs/window/aggregation.pyx
 """
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING

pandas/core/accessor.py

@@ -4,6 +4,7 @@
 that can be mixed into or pinned onto other pandas classes.
 
 """
+
 from __future__ import annotations
 
 from typing import (

pandas/core/algorithms.py

@@ -2,6 +2,7 @@
 Generic data algorithms. This module is experimental at the moment and not
 intended for public consumption
 """
+
 from __future__ import annotations
 
 import decimal

pandas/core/apply.py

@@ -1300,9 +1300,10 @@ def apply_with_numba(self) -> dict[int, Any]:
 
         # Convert from numba dict to regular dict
         # Our isinstance checks in the df constructor don't pass for numbas typed dict
-        with set_numba_data(self.obj.index) as index, set_numba_data(
-            self.columns
-        ) as columns:
+        with (
+            set_numba_data(self.obj.index) as index,
+            set_numba_data(self.columns) as columns,
+        ):
             res = dict(nb_func(self.values, columns, index))
 
         return res

pandas/core/array_algos/masked_reductions.py

@@ -2,6 +2,7 @@
 masked_reductions.py is for reduction algorithms using a mask-based approach
 for missing values.
 """
+
 from __future__ import annotations
 
 from typing import (

pandas/core/array_algos/putmask.py

@@ -1,6 +1,7 @@
 """
 EA-compatible analogue to np.putmask
 """
+
 from __future__ import annotations
 
 from typing import (

pandas/core/array_algos/replace.py

@@ -1,6 +1,7 @@
 """
 Methods used by Block.replace and related methods.
 """
+
 from __future__ import annotations
 
 import operator