[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ ci:
     skip: [pyright, mypy]
 repos:
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.2
+    rev: v0.8.1
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
@@ -47,7 +47,7 @@ repos:
         types_or: [python, rst, markdown, cython, c]
         additional_dependencies: [tomli]
 -   repo: https://github.com/MarcoGorelli/cython-lint
-    rev: v0.16.2
+    rev: v0.16.6
     hooks:
     -   id: cython-lint
     -   id: double-quote-cython-strings
@@ -95,7 +95,7 @@ repos:
     - id: sphinx-lint
       args: ["--enable", "all", "--disable", "line-too-long"]
 -   repo: https://github.com/pre-commit/mirrors-clang-format
-    rev: v19.1.3
+    rev: v19.1.4
     hooks:
     - id: clang-format
       files: ^pandas/_libs/src|^pandas/_libs/include

asv_bench/benchmarks/groupby.py

@@ -511,8 +511,7 @@ def setup(self, dtype, method, application, ncols, engine):
         # grouping on multiple columns
         # and we lack kernels for a bunch of methods
         if (
-            engine == "numba"
-            and method in _numba_unsupported_methods
+            (engine == "numba" and method in _numba_unsupported_methods)
             or ncols > 1
             or application == "transformation"
             or dtype == "datetime"

pandas/__init__.py

@@ -235,6 +235,7 @@
 # Pandas is not (yet) a py.typed library: the public API is determined
 # based on the documentation.
 __all__ = [
+    "NA",
     "ArrowDtype",
     "BooleanDtype",
     "Categorical",
@@ -253,15 +254,14 @@
     "HDFStore",
     "Index",
     "IndexSlice",
+    "Int8Dtype",
     "Int16Dtype",
     "Int32Dtype",
     "Int64Dtype",
-    "Int8Dtype",
     "Interval",
     "IntervalDtype",
     "IntervalIndex",
     "MultiIndex",
-    "NA",
     "NaT",
     "NamedAgg",
     "Period",
@@ -274,10 +274,10 @@
     "Timedelta",
     "TimedeltaIndex",
     "Timestamp",
+    "UInt8Dtype",
     "UInt16Dtype",
     "UInt32Dtype",
     "UInt64Dtype",
-    "UInt8Dtype",
     "api",
     "array",
     "arrays",
@@ -290,8 +290,8 @@
     "errors",
     "eval",
     "factorize",
-    "get_dummies",
     "from_dummies",
+    "get_dummies",
     "get_option",
     "infer_freq",
     "interval_range",

pandas/_config/__init__.py

@@ -8,13 +8,13 @@
 
 __all__ = [
     "config",
+    "describe_option",
     "detect_console_encoding",
     "get_option",
-    "set_option",
-    "reset_option",
-    "describe_option",
     "option_context",
     "options",
+    "reset_option",
+    "set_option",
 ]
 from pandas._config import config
 from pandas._config import dates  # pyright: ignore[reportUnusedImport]  # noqa: F401

pandas/_libs/__init__.py

@@ -1,12 +1,12 @@
 __all__ = [
+    "Interval",
     "NaT",
     "NaTType",
     "OutOfBoundsDatetime",
     "Period",
     "Timedelta",
     "Timestamp",
     "iNaT",
-    "Interval",
 ]
 
 

pandas/_libs/tslibs/__init__.py

@@ -1,39 +1,39 @@
 __all__ = [
-    "dtypes",
-    "localize_pydatetime",
+    "BaseOffset",
+    "IncompatibleFrequency",
     "NaT",
     "NaTType",
-    "iNaT",
-    "nat_strings",
     "OutOfBoundsDatetime",
     "OutOfBoundsTimedelta",
-    "IncompatibleFrequency",
     "Period",
     "Resolution",
+    "Tick",
     "Timedelta",
-    "normalize_i8_timestamps",
-    "is_date_array_normalized",
-    "dt64arr_to_periodarr",
+    "Timestamp",
+    "add_overflowsafe",
+    "astype_overflowsafe",
     "delta_to_nanoseconds",
+    "dt64arr_to_periodarr",
+    "dtypes",
+    "get_resolution",
+    "get_supported_dtype",
+    "get_unit_from_dtype",
+    "guess_datetime_format",
+    "iNaT",
     "ints_to_pydatetime",
     "ints_to_pytimedelta",
-    "get_resolution",
-    "Timestamp",
-    "tz_convert_from_utc_single",
-    "tz_convert_from_utc",
-    "to_offset",
-    "Tick",
-    "BaseOffset",
-    "tz_compare",
+    "is_date_array_normalized",
+    "is_supported_dtype",
     "is_unitless",
-    "astype_overflowsafe",
-    "get_unit_from_dtype",
+    "localize_pydatetime",
+    "nat_strings",
+    "normalize_i8_timestamps",
     "periods_per_day",
     "periods_per_second",
-    "guess_datetime_format",
-    "add_overflowsafe",
-    "get_supported_dtype",
-    "is_supported_dtype",
+    "to_offset",
+    "tz_compare",
+    "tz_convert_from_utc",
+    "tz_convert_from_utc_single",
 ]
 
 from pandas._libs.tslibs import dtypes

pandas/_testing/__init__.py

@@ -540,6 +540,25 @@ def shares_memory(left, right) -> bool:
     "ALL_INT_NUMPY_DTYPES",
     "ALL_NUMPY_DTYPES",
     "ALL_REAL_NUMPY_DTYPES",
+    "BOOL_DTYPES",
+    "BYTES_DTYPES",
+    "COMPLEX_DTYPES",
+    "DATETIME64_DTYPES",
+    "ENDIAN",
+    "FLOAT_EA_DTYPES",
+    "FLOAT_NUMPY_DTYPES",
+    "NARROW_NP_DTYPES",
+    "NP_NAT_OBJECTS",
+    "NULL_OBJECTS",
+    "OBJECT_DTYPES",
+    "SIGNED_INT_EA_DTYPES",
+    "SIGNED_INT_NUMPY_DTYPES",
+    "STRING_DTYPES",
+    "TIMEDELTA64_DTYPES",
+    "UNSIGNED_INT_EA_DTYPES",
+    "UNSIGNED_INT_NUMPY_DTYPES",
+    "SubclassedDataFrame",
+    "SubclassedSeries",
     "assert_almost_equal",
     "assert_attr_equal",
     "assert_categorical_equal",
@@ -563,51 +582,32 @@ def shares_memory(left, right) -> bool:
     "assert_sp_array_equal",
     "assert_timedelta_array_equal",
     "at",
-    "BOOL_DTYPES",
     "box_expected",
-    "BYTES_DTYPES",
     "can_set_locale",
-    "COMPLEX_DTYPES",
     "convert_rows_list_to_csv_str",
-    "DATETIME64_DTYPES",
     "decompress_file",
-    "ENDIAN",
     "ensure_clean",
     "external_error_raised",
-    "FLOAT_EA_DTYPES",
-    "FLOAT_NUMPY_DTYPES",
     "get_cython_table_params",
     "get_dtype",
-    "getitem",
-    "get_locales",
     "get_finest_unit",
+    "get_locales",
     "get_obj",
     "get_op_from_name",
+    "getitem",
     "iat",
     "iloc",
     "loc",
     "maybe_produces_warning",
-    "NARROW_NP_DTYPES",
-    "NP_NAT_OBJECTS",
-    "NULL_OBJECTS",
-    "OBJECT_DTYPES",
     "raise_assert_detail",
     "raises_chained_assignment_error",
     "round_trip_pathlib",
     "round_trip_pickle",
-    "setitem",
     "set_locale",
     "set_timezone",
+    "setitem",
     "shares_memory",
-    "SIGNED_INT_EA_DTYPES",
-    "SIGNED_INT_NUMPY_DTYPES",
-    "STRING_DTYPES",
-    "SubclassedDataFrame",
-    "SubclassedSeries",
-    "TIMEDELTA64_DTYPES",
     "to_array",
-    "UNSIGNED_INT_EA_DTYPES",
-    "UNSIGNED_INT_NUMPY_DTYPES",
     "with_csv_dialect",
     "write_to_compressed",
 ]

pandas/_testing/asserters.py

@@ -755,11 +755,8 @@ def assert_extension_array_equal(
         and atol is lib.no_default
     ):
         check_exact = (
-            is_numeric_dtype(left.dtype)
-            and not is_float_dtype(left.dtype)
-            or is_numeric_dtype(right.dtype)
-            and not is_float_dtype(right.dtype)
-        )
+            is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
+        ) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
     elif check_exact is lib.no_default:
         check_exact = False
 
@@ -944,11 +941,8 @@ def assert_series_equal(
         and atol is lib.no_default
     ):
         check_exact = (
-            is_numeric_dtype(left.dtype)
-            and not is_float_dtype(left.dtype)
-            or is_numeric_dtype(right.dtype)
-            and not is_float_dtype(right.dtype)
-        )
+            is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
+        ) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
         left_index_dtypes = (
             [left.index.dtype] if left.index.nlevels == 1 else left.index.dtypes
         )

pandas/_typing.py

@@ -273,7 +273,7 @@ def mode(self) -> str:
         # for _get_filepath_or_buffer
         ...
 
-    def seek(self, __offset: int, __whence: int = ...) -> int:
+    def seek(self, offset: int, whence: int = ..., /) -> int:
         # with one argument: gzip.GzipFile, bz2.BZ2File
         # with two arguments: zip.ZipFile, read_sas
         ...
@@ -288,13 +288,13 @@ def tell(self) -> int:
 
 
 class ReadBuffer(BaseBuffer, Protocol[AnyStr_co]):
-    def read(self, __n: int = ...) -> AnyStr_co:
+    def read(self, n: int = ..., /) -> AnyStr_co:
         # for BytesIOWrapper, gzip.GzipFile, bz2.BZ2File
         ...
 
 
 class WriteBuffer(BaseBuffer, Protocol[AnyStr_contra]):
-    def write(self, __b: AnyStr_contra) -> Any:
+    def write(self, b: AnyStr_contra, /) -> Any:
         # for gzip.GzipFile, bz2.BZ2File
         ...
 

pandas/api/__init__.py

@@ -9,9 +9,9 @@
 )
 
 __all__ = [
-    "interchange",
     "extensions",
     "indexers",
+    "interchange",
     "types",
     "typing",
 ]

pandas/api/extensions/__init__.py

@@ -21,13 +21,13 @@
 )
 
 __all__ = [
-    "no_default",
+    "ExtensionArray",
     "ExtensionDtype",
-    "register_extension_dtype",
+    "ExtensionScalarOpsMixin",
+    "no_default",
     "register_dataframe_accessor",
+    "register_extension_dtype",
     "register_index_accessor",
     "register_series_accessor",
     "take",
-    "ExtensionArray",
-    "ExtensionScalarOpsMixin",
 ]

pandas/api/indexers/__init__.py

@@ -10,8 +10,8 @@
 )
 
 __all__ = [
-    "check_array_indexer",
     "BaseIndexer",
     "FixedForwardWindowIndexer",
     "VariableOffsetWindowIndexer",
+    "check_array_indexer",
 ]

pandas/api/interchange/__init__.py

@@ -5,4 +5,4 @@
 from pandas.core.interchange.dataframe_protocol import DataFrame
 from pandas.core.interchange.from_dataframe import from_dataframe
 
-__all__ = ["from_dataframe", "DataFrame"]
+__all__ = ["DataFrame", "from_dataframe"]

pandas/api/types/__init__.py

@@ -14,10 +14,10 @@
 )
 
 __all__ = [
-    "infer_dtype",
-    "union_categoricals",
     "CategoricalDtype",
     "DatetimeTZDtype",
     "IntervalDtype",
     "PeriodDtype",
+    "infer_dtype",
+    "union_categoricals",
 ]

pandas/api/typing/__init__.py

@@ -42,18 +42,16 @@
     "ExponentialMovingWindowGroupby",
     "FrozenList",
     "JsonReader",
-    "NaTType",
     "NAType",
+    "NaTType",
     "PeriodIndexResamplerGroupby",
     "Resampler",
     "Rolling",
     "RollingGroupby",
+    "SASReader",
     "SeriesGroupBy",
     "StataReader",
-    "SASReader",
-    # See TODO above
-    # "Styler",
-    "TimedeltaIndexResamplerGroupby",
     "TimeGrouper",
+    "TimedeltaIndexResamplerGroupby",
     "Window",
 ]