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[pre-commit.ci] pre-commit autoupdate (#60470)
* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.7.2 → v0.8.1](astral-sh/ruff-pre-commit@v0.7.2...v0.8.1) - [github.com/MarcoGorelli/cython-lint: v0.16.2 → v0.16.6](MarcoGorelli/cython-lint@v0.16.2...v0.16.6) - [github.com/pre-commit/mirrors-clang-format: v19.1.3 → v19.1.4](pre-commit/mirrors-clang-format@v19.1.3...v19.1.4) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Apply ruff changes --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
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‎.pre-commit-config.yaml

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

‎asv_bench/benchmarks/groupby.py

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@@ -511,8 +511,7 @@ def setup(self, dtype, method, application, ncols, engine):
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# grouping on multiple columns
512512
# and we lack kernels for a bunch of methods
513513
if (
514-
engine == "numba"
515-
and method in _numba_unsupported_methods
514+
(engine == "numba" and method in _numba_unsupported_methods)
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or ncols > 1
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or application == "transformation"
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or dtype == "datetime"

‎pandas/__init__.py

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@@ -235,6 +235,7 @@
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# Pandas is not (yet) a py.typed library: the public API is determined
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# based on the documentation.
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__all__ = [
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"NA",
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"ArrowDtype",
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"BooleanDtype",
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"Categorical",
@@ -253,15 +254,14 @@
253254
"HDFStore",
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"Index",
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"IndexSlice",
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"Int8Dtype",
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"Int16Dtype",
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"Int32Dtype",
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"Int64Dtype",
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"Int8Dtype",
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"Interval",
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"IntervalDtype",
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"IntervalIndex",
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"MultiIndex",
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"NA",
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"NaT",
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"NamedAgg",
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"Period",
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"Timedelta",
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"TimedeltaIndex",
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"Timestamp",
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"UInt8Dtype",
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"UInt16Dtype",
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"UInt32Dtype",
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"UInt64Dtype",
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"UInt8Dtype",
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"api",
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"array",
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"arrays",
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"errors",
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"eval",
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"factorize",
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"get_dummies",
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"from_dummies",
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"get_dummies",
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"get_option",
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"infer_freq",
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"interval_range",

‎pandas/_config/__init__.py

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

‎pandas/_libs/__init__.py

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@@ -1,12 +1,12 @@
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__all__ = [
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"Interval",
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"NaT",
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"NaTType",
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"OutOfBoundsDatetime",
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"Period",
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"Timedelta",
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"Timestamp",
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"iNaT",
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"Interval",
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]
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‎pandas/_libs/tslibs/__init__.py

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@@ -1,39 +1,39 @@
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__all__ = [
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"dtypes",
3-
"localize_pydatetime",
2+
"BaseOffset",
3+
"IncompatibleFrequency",
44
"NaT",
55
"NaTType",
6-
"iNaT",
7-
"nat_strings",
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"OutOfBoundsDatetime",
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"OutOfBoundsTimedelta",
10-
"IncompatibleFrequency",
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"Period",
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"Resolution",
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"Tick",
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"Timedelta",
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"normalize_i8_timestamps",
15-
"is_date_array_normalized",
16-
"dt64arr_to_periodarr",
12+
"Timestamp",
13+
"add_overflowsafe",
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"astype_overflowsafe",
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"delta_to_nanoseconds",
16+
"dt64arr_to_periodarr",
17+
"dtypes",
18+
"get_resolution",
19+
"get_supported_dtype",
20+
"get_unit_from_dtype",
21+
"guess_datetime_format",
22+
"iNaT",
1823
"ints_to_pydatetime",
1924
"ints_to_pytimedelta",
20-
"get_resolution",
21-
"Timestamp",
22-
"tz_convert_from_utc_single",
23-
"tz_convert_from_utc",
24-
"to_offset",
25-
"Tick",
26-
"BaseOffset",
27-
"tz_compare",
25+
"is_date_array_normalized",
26+
"is_supported_dtype",
2827
"is_unitless",
29-
"astype_overflowsafe",
30-
"get_unit_from_dtype",
28+
"localize_pydatetime",
29+
"nat_strings",
30+
"normalize_i8_timestamps",
3131
"periods_per_day",
3232
"periods_per_second",
33-
"guess_datetime_format",
34-
"add_overflowsafe",
35-
"get_supported_dtype",
36-
"is_supported_dtype",
33+
"to_offset",
34+
"tz_compare",
35+
"tz_convert_from_utc",
36+
"tz_convert_from_utc_single",
3737
]
3838

3939
from pandas._libs.tslibs import dtypes

‎pandas/_testing/__init__.py

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@@ -540,6 +540,25 @@ def shares_memory(left, right) -> bool:
540540
"ALL_INT_NUMPY_DTYPES",
541541
"ALL_NUMPY_DTYPES",
542542
"ALL_REAL_NUMPY_DTYPES",
543+
"BOOL_DTYPES",
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"BYTES_DTYPES",
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"COMPLEX_DTYPES",
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"DATETIME64_DTYPES",
547+
"ENDIAN",
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"FLOAT_EA_DTYPES",
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"FLOAT_NUMPY_DTYPES",
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"NARROW_NP_DTYPES",
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"NP_NAT_OBJECTS",
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"NULL_OBJECTS",
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"OBJECT_DTYPES",
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"SIGNED_INT_EA_DTYPES",
555+
"SIGNED_INT_NUMPY_DTYPES",
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"STRING_DTYPES",
557+
"TIMEDELTA64_DTYPES",
558+
"UNSIGNED_INT_EA_DTYPES",
559+
"UNSIGNED_INT_NUMPY_DTYPES",
560+
"SubclassedDataFrame",
561+
"SubclassedSeries",
543562
"assert_almost_equal",
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"assert_attr_equal",
545564
"assert_categorical_equal",
@@ -563,51 +582,32 @@ def shares_memory(left, right) -> bool:
563582
"assert_sp_array_equal",
564583
"assert_timedelta_array_equal",
565584
"at",
566-
"BOOL_DTYPES",
567585
"box_expected",
568-
"BYTES_DTYPES",
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"can_set_locale",
570-
"COMPLEX_DTYPES",
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"convert_rows_list_to_csv_str",
572-
"DATETIME64_DTYPES",
573588
"decompress_file",
574-
"ENDIAN",
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"ensure_clean",
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"external_error_raised",
577-
"FLOAT_EA_DTYPES",
578-
"FLOAT_NUMPY_DTYPES",
579591
"get_cython_table_params",
580592
"get_dtype",
581-
"getitem",
582-
"get_locales",
583593
"get_finest_unit",
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"get_locales",
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"get_obj",
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"get_op_from_name",
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"getitem",
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"iat",
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"iloc",
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"loc",
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"maybe_produces_warning",
590-
"NARROW_NP_DTYPES",
591-
"NP_NAT_OBJECTS",
592-
"NULL_OBJECTS",
593-
"OBJECT_DTYPES",
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"raise_assert_detail",
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"raises_chained_assignment_error",
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"round_trip_pathlib",
597605
"round_trip_pickle",
598-
"setitem",
599606
"set_locale",
600607
"set_timezone",
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"setitem",
601609
"shares_memory",
602-
"SIGNED_INT_EA_DTYPES",
603-
"SIGNED_INT_NUMPY_DTYPES",
604-
"STRING_DTYPES",
605-
"SubclassedDataFrame",
606-
"SubclassedSeries",
607-
"TIMEDELTA64_DTYPES",
608610
"to_array",
609-
"UNSIGNED_INT_EA_DTYPES",
610-
"UNSIGNED_INT_NUMPY_DTYPES",
611611
"with_csv_dialect",
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"write_to_compressed",
613613
]

‎pandas/_testing/asserters.py

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@@ -755,11 +755,8 @@ def assert_extension_array_equal(
755755
and atol is lib.no_default
756756
):
757757
check_exact = (
758-
is_numeric_dtype(left.dtype)
759-
and not is_float_dtype(left.dtype)
760-
or is_numeric_dtype(right.dtype)
761-
and not is_float_dtype(right.dtype)
762-
)
758+
is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
759+
) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
763760
elif check_exact is lib.no_default:
764761
check_exact = False
765762

@@ -944,11 +941,8 @@ def assert_series_equal(
944941
and atol is lib.no_default
945942
):
946943
check_exact = (
947-
is_numeric_dtype(left.dtype)
948-
and not is_float_dtype(left.dtype)
949-
or is_numeric_dtype(right.dtype)
950-
and not is_float_dtype(right.dtype)
951-
)
944+
is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
945+
) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
952946
left_index_dtypes = (
953947
[left.index.dtype] if left.index.nlevels == 1 else left.index.dtypes
954948
)

‎pandas/_typing.py

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273273
# for _get_filepath_or_buffer
274274
...
275275

276-
def seek(self, __offset: int, __whence: int = ...) -> int:
276+
def seek(self, offset: int, whence: int = ..., /) -> int:
277277
# with one argument: gzip.GzipFile, bz2.BZ2File
278278
# with two arguments: zip.ZipFile, read_sas
279279
...
@@ -288,13 +288,13 @@ def tell(self) -> int:
288288

289289

290290
class ReadBuffer(BaseBuffer, Protocol[AnyStr_co]):
291-
def read(self, __n: int = ...) -> AnyStr_co:
291+
def read(self, n: int = ..., /) -> AnyStr_co:
292292
# for BytesIOWrapper, gzip.GzipFile, bz2.BZ2File
293293
...
294294

295295

296296
class WriteBuffer(BaseBuffer, Protocol[AnyStr_contra]):
297-
def write(self, __b: AnyStr_contra) -> Any:
297+
def write(self, b: AnyStr_contra, /) -> Any:
298298
# for gzip.GzipFile, bz2.BZ2File
299299
...
300300

‎pandas/api/__init__.py

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99
)
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__all__ = [
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"interchange",
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"extensions",
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"indexers",
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"interchange",
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"types",
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"typing",
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]

‎pandas/api/extensions/__init__.py

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)
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__all__ = [
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"no_default",
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"ExtensionArray",
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"ExtensionDtype",
26-
"register_extension_dtype",
26+
"ExtensionScalarOpsMixin",
27+
"no_default",
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"register_dataframe_accessor",
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"register_extension_dtype",
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"register_index_accessor",
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"register_series_accessor",
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"take",
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"ExtensionArray",
32-
"ExtensionScalarOpsMixin",
3333
]

‎pandas/api/indexers/__init__.py

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)
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1212
__all__ = [
13-
"check_array_indexer",
1413
"BaseIndexer",
1514
"FixedForwardWindowIndexer",
1615
"VariableOffsetWindowIndexer",
16+
"check_array_indexer",
1717
]

‎pandas/api/interchange/__init__.py

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55
from pandas.core.interchange.dataframe_protocol import DataFrame
66
from pandas.core.interchange.from_dataframe import from_dataframe
77

8-
__all__ = ["from_dataframe", "DataFrame"]
8+
__all__ = ["DataFrame", "from_dataframe"]

‎pandas/api/types/__init__.py

+2-2
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1414
)
1515

1616
__all__ = [
17-
"infer_dtype",
18-
"union_categoricals",
1917
"CategoricalDtype",
2018
"DatetimeTZDtype",
2119
"IntervalDtype",
2220
"PeriodDtype",
21+
"infer_dtype",
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"union_categoricals",
2323
]

‎pandas/api/typing/__init__.py

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4242
"ExponentialMovingWindowGroupby",
4343
"FrozenList",
4444
"JsonReader",
45-
"NaTType",
4645
"NAType",
46+
"NaTType",
4747
"PeriodIndexResamplerGroupby",
4848
"Resampler",
4949
"Rolling",
5050
"RollingGroupby",
51+
"SASReader",
5152
"SeriesGroupBy",
5253
"StataReader",
53-
"SASReader",
54-
# See TODO above
55-
# "Styler",
56-
"TimedeltaIndexResamplerGroupby",
5754
"TimeGrouper",
55+
"TimedeltaIndexResamplerGroupby",
5856
"Window",
5957
]

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