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See gh-31989 Instead of splitting it was decided to define sections here: - Configuration / Settings - Autouse fixtures - Common arguments - Missing values & co. - Classes - Indices - Series' - DataFrames - Operators & Operations - Data sets/files - Time zones - Dtypes - Misc ) annotations)abc)datedatetimetime timedeltatimezone)DecimalN) TYPE_CHECKINGAny)tzlocaltzutc) strategies)import_optional_dependency)DatetimeTZDtype IntervalDtype) CategoricalIndex DataFrameInterval IntervalIndexPeriod RangeIndexSeries Timedelta Timestamp date_range period_rangetimedelta_range)ops)Index MultiIndex)CallableHashableIteratorTFpytzignore)errorscV^8dQhRR/#returnNone)formats"X/Users/mibo/.openclaw/workspace/.venv-ak/lib/python3.14/site-packages/pandas/conftest.py __annotate__r/hsc.VPRRRR7R#)--no-strict-data-files store_falsez6Don't fail if a test is skipped for missing data file.)actionhelpN) addoption)parsers&r.pytest_addoptionr8hs   Er0ctaa^RIp^RIoVPPoVV3RlpW!PnR#)Ncj<SPV4'dRVP9dR#S!WV4#).T) isfunction __qualname__)selfmoduleobjectinspectorigs&&&r. _from_module)pytest_sessionstart.._from_modulezs3   f % %#1D1D*DD&))r0)doctestrB DocTestFinderrD)sessionrFrDrBrCs& @@r.pytest_sessionstartrIps/  - -D**6&r0c(V^8dQhRRRRRRRR/#)r)itemz pytest.Itempathstrmessager*r+r,)r-s"r.r/r/s.IIICI#I$Ir0cVPPV4'd4VP\PP RV 244R#R#)aRIgnore doctest warning. Parameters ---------- item : pytest.Item pytest test item. path : str Module path to Python object, e.g. "pandas.DataFrame.append". A warning will be filtered when item.name ends with in given path. So it is sufficient to specify e.g. "DataFrame.append". message : str Message to be filtered. zignore:N)nameendswith add_markerpytestmarkfilterwarnings)rKrLrNs&&&r.ignore_doctest_warningrVs@ yy$  22WWI3FGH r0cV^8dQhRR/#r(r,)r-s"r.r/r/s1<1rs 5r0)paramsidscVP#)z8 Fixture for returning the axis numbers of a DataFrame. paramrequests&r.axisr ==r0)rcVP#)ai Pass in the observed keyword to groupby for [True, False] This indicates whether categoricals should return values for values which are not in the grouper [False / None], or only values which appear in the grouper [True]. [None] is supported for future compatibility if we decide to change the default (and would need to warn if this parameter is not passed). rrs&r.observedr ==r0cVP#)z. Boolean 'ordered' parameter for Categorical. rrs&r.orderedr+rr0cVP#)z Boolean 'dropna' parameter. rrs&r.dropnar3rr0cVP#)z Boolean 'sort' parameter. rrs&r.sortr;rr0cVP#)z Boolean 'skipna' parameter. rrs&r.skipnarCrr0cVP#)zO Valid values for the 'keep' parameter used in .duplicated or .drop_duplicates rrs&r.keeprK ==r0rightcVP#)z9 Fixture for trying all interval 'inclusive' parameters. rrs&r.inclusive_endpoints_fixturerTrr0cVP#)z4 Fixture for trying all interval closed parameters. rrs&r.closedr\rr0cVP#)zK Secondary closed fixture to allow parametrizing over all pairs of closed. rrs&r. other_closedrdrr0gzipbz2zipxztarzstd zstandard)markscVP#)zC Fixture for trying common compression types in compression tests. rrs&r. compressionrl ==r0cVP#)z_ Fixture for trying common compression types in compression tests excluding uncompressed case. rrs&r.compression_onlyr~rr0cVP#)z$ Fixture that an array is writable. rrs&r.writablerrr0cVP#)z2 Fixture for trying all types of join operations. rrs&r. join_typerrr0nlargest nsmallestcVP#)z) Fixture for trying all nselect methods. rrs&r.nselect_methodrrr0cVP#)z* Fixture for 'na_action' argument in map. rrs&r. na_actionrrr0cVP#)zB Fixture for 'na_action' argument in sort_values/sort_index/rank. rrs&r. ascendingrrr0cVP#)z& Fixture for 'rank' argument in rank. rrs&r. rank_methodrrr0cVP#)z- Fixture for 'as_index' argument in groupby. rrs&r.as_indexrrr0cVP#)z. Fixture for 'cache' argument in to_datetime. rrs&r.cacherrr0cVP#)z6 Fixture for parallel keyword argument for numba.jit. rrs&r.parallelrrr0cVP#)z3 Fixture for nogil keyword argument for numba.jit. rrs&r.nogilrrr0cVP#)z6 Fixture for nopython keyword argument for numba.jit. rrs&r.nopythonrrr0c,\V4P#Ntype__name__rs&r.rrsd1g6F6Fr0cVP#)z' Fixture for each null type in pandas. rrs&r. nulls_fixturerrr0cVP#)zD Fixture for each null type in pandas, each null type exactly once. rrs&r.unique_nulls_fixturerrr0c,\V4P#rrrs&r.rrsQ8H8Hr0cVP#)z% Fixture for each NaT type in numpy. rrs&r.np_nat_fixturerrr0cVP#)z3 Fixture to parametrize over DataFrame and Series. rrs&r.frame_or_seriesrrr0seriescVP#)z Fixture to parametrize over Index and Series, made necessary by a mypy bug, giving an error: List item 0 has incompatible type "Type[Series]"; expected "Type[PandasObject]" See GH#29725 rrs&r.index_or_seriesrrr0cVP#)z? 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J&Ts+C1cV^8dQhRR/#)r)r*r r,)r-s"r.r/r/yszr0c:\.RO.RO..RO.RO.RR.R7#)z3 2-level MultiIndex, lexsorted, with string names. firstsecond)r(codesnamesfoobarbazquxonetwothree) r:r:r:r>r)r)r?r?) r:r>r)r:r>r>r)r:r>r))r r,r0r.%lexsorted_two_level_string_multiindexr@xs+ ,.EF-/MN! r0cV^8dQhRR/#r)r*rr,)r-s"r.r/r/s   r0c Tp\\PP^4P R4V\ .RORR7R7#)z2DataFrame with 2 level MultiIndex with random dataexprPrr) r?)ArC)rrzr!r"r#r)r@rs& r. multiindex_dataframe_random_datarJs@ 2E  a 009oE2 r0c\.RO4p\RR.4p\P!.RO4p\P!.R O4pRR.p\W.W#.VRR7#) zB MultiIndex used to test the general functionality of this object r;r<r1r2F)r(r3r4verify_integrityr5)r:r:r>r)r?r?)r:r>r:r>r:r>)rrzarrayr ) major_axis minor_axis major_codes minor_codes index_namess r._create_multiindexrSsd 34Ju~&J((-.K((-.KH%K '(  r0c \\P!^^.RR.\R^RR7..ROR7#)z: MultiIndex with a level that is a tzaware DatetimeIndex. ab20130101 US/Easternrtz)r4r:)r from_productrr,r0r._create_mi_with_dt64tz_levelr\s5  " " Q#sZ A,OP% r0rApandas_dtypestringrMrz 2020-01-01)rz datetime-tzz US/PacificrYperiodDrrz1 day)startrrrangeint8int16int32int64uint8uint16uint32uint64float32float64z bool-object bool-dtype complex64y? complex128 categoricalabcdinterval)numemptytuplesr6)strictmi-with-dt64tz-levelmultirepeats nullable_intInt64 nullable_uintUInt16nullable_floatFloat32 nullable_boolbooleanz string-pythonzstring[python]zstring[pyarrow]zstring-pyarrowcP\VP,PRR7#)z Fixture for many "simple" kinds of indices. These indices are unlikely to cover corner cases, e.g. - no names - no NaTs/NaNs - no values near implementation bounds - ... Fdeep) indices_dictrcopyrs&r.rrs!  & + + + 77r0cTVPp\V,PRR7#)z0 index fixture, but excluding MultiIndex cases. Fr)rrr)rrs& r. index_flatrs& --C   ! !u ! --r0ch\VP,pVPR9dUVP4pR.V^,R,O5V^&R.VR,R,O5VR&\P!V4#VP P 4pRV^&RVR&\V4!VRR7#)z Fixture for indices with missing values. Integer-dtype and empty cases are excluded because they cannot hold missing values. MultiIndex is excluded because isna() is not defined for MultiIndex. Nr>NNF)r)rwryrz)rrtolistr from_tuplesvaluesrr)rindvalss& r.index_with_missingrs( w}} %C}}CCzz|&$q'"+&Q(48B<(R%%d++zz QRCyE**r0cV^8dQhRR/#r)r*rr,)r-s"r.r/r/"svr0c \\P!^\PR7R,\ \ ^4Uu.uFpRV 2NK up4RR7#uupi)z; Fixture for Series of floats with Index of unique strings r^g?i_rrrP)rrzarangernrrdis r. string_seriesr!sO  "BJJ'#-uRy1y!r!Xy12  1sAcV^8dQhRR/#rr,)r-s"r.r/r/.sCCvCr0c\^4Uu.uFpRV 2NK pp\\^4Uu.uFpRV 2NK up4p\WR\R7#uupiuupi)zA Fixture for Series of dtype object with Index of unique strings foo_bar_objectsrrPr_)rdrrrA)rdatars r. object_seriesr-s\ !&b * 1d1#J D * uRy1y!T!:y1 2E $)6 BB +1s AAcV^8dQhRR/#rr,)r-s"r.r/r/8sr0c \\PP^4P ^4\ R^RR7RR7#)z1 Fixture for Series of floats with DatetimeIndex rrrtsr)rrzr!r"r#rr,r0r.datetime_seriesr7s=  a 004r<  r0c\V4p\PP^4P V4p\ W RRR7#)zHelper for the _series dictrUF)rrPr)lenrzr!r"r#r)rsizers& r._create_seriesrCs9 u:D 99  # 3 3D 9D $#E ::r0z series-with-z-indexcV^8dQhRR/#rr,)r-s"r.r/r/Qs!!v!r0c\V4#)z= Fixture for tests on series with changing types of indices. )rrs&r.series_with_simple_indexrPs %  r0z-serieszi-rUrcP\VP,PRR7#)zp Fixture for tests on indexes, series and series with a narrow dtype copy to avoid mutation, e.g. setting .name Fr)_index_or_series_objsrrrs&r.index_or_series_objrcs! ! / 4 4% 4 @@r0cP\VP,PRR7#)z Fixture for tests on indexes, series, series with a narrow dtype and series with empty objects type copy to avoid mutation, e.g. setting .name Fr)_index_or_series_memory_objsrrrs&r.index_or_series_memory_objrys! ( 6 ; ; ; GGr0cV^8dQhRR/#rBr,)r-s"r.r/r/s  9 r0c \\P!R\PR7\ \ ^4Uu.uFpRV 2NK up4\ \ R44R7#uupi)z^ Fixture for DataFrame of ints with index of unique strings Columns are ['A', 'B', 'C', 'D'] r^rrrFr )rrzonesrhrrdr$rs r. int_framersS  rxx(r3AtA3Z34d6l# 3sA*cV^8dQhRR/#rBr,)r-s"r.r/r/s  Y r0c \\PP^4P R4\ \ ^4Uu.uFpRV 2NK up4\ \R44R7#uupi)za Fixture for DataFrame of floats with index of unique strings Columns are ['A', 'B', 'C', 'D']. rrrFr)rrzr!r"r#rrdr$rs r. float_framers^  a 009r3AtA3Z34d6l# 3sA2cV^8dQhRR/#rr,)r-s"r.r/r/sUU&Ur0cz\R^^4\R^^4\R^^4\R^^4\R^^4\R^^4\R^^4\R^^4\R^^4\R^^4. p\\PP ^4P \ V44VR7#)z> Fixture for Series with a DatetimeIndex that has duplicates. ir)rrrzr!r"r#r)datess r.(rand_series_with_duplicate_datetimeindexrs q!q!q!q!q!q!q!q!q!q! E "))''*::3u:Fe TTr0)leftrg?g?z2012-01M)rz period[M]z 2012-02-01z period[D]z 2011-01-01rX)rZs)unitrZi)secondsztimedelta64[us]cVP#)z3 Fixture that tests each scalar and datetime type. rrs&r.ea_scalar_and_dtyper" ==r0cVP#)z< Fixture for dunder names for common arithmetic operations. rrs&r.all_arithmetic_operatorsrrr0cVP#)zM Fixture for operator and roperator arithmetic, comparison, and logical ops. rrs&r.all_binary_operatorsrD ==r0cVP#)z Fixture for operator and roperator arithmetic functions. Notes ----- This includes divmod and rdivmod, whereas all_arithmetic_operators does not. rrs&r.all_arithmetic_functionsrs6 ==r0cVP#)z& Fixture for numeric reduction names. rrs&r.all_numeric_reductionsr.rr0allanycVP#)z& Fixture for boolean reduction names. rrs&r.all_boolean_reductionsr9rr0cVP#)z6 Fixture for all (boolean + numeric) reduction names. rrs&r.all_reductionsrDrr0cVP#)z3 Fixture for operator module comparison functions. rrs&r. comparison_oprL ==r0cVP#)zU Fixture for dunder names for compare operations except == and != * >= * > * < * <= rrs&r.compare_operators_no_eq_ner]rr0cVP#)zE Fixture for dunder names for common logical operations * | * & * ^ rrs&r.all_logical_operatorsrj ==r0cVP#)z( Fixture for numeric accumulation names rrs&r.all_numeric_accumulationsr{rr0c$VPR4#)zJ Returns the configuration for the test setting `--no-strict-data-files`. r2)rf) pytestconfigs&r.strict_data_filesrs  ! !": ;;r0c V^8dQhRRRR/#)r)rrMr*zCallable[..., str]r,)r-s"r.r/r/s(:r0caa\PP\PP\4R4oVV3RlpV#)a Get the path to a data file. Parameters ---------- path : str Path to the file, relative to ``pandas/tests/`` Returns ------- path including ``pandas/tests``. Raises ------ ValueError If the path doesn't exist and the --no-strict-data-files option is not set. testsc<\PP!S.VO5!p\PPV4'g2S'd\ RV R24h\ P !RV R24V#)zCould not find file z' and --no-strict-data-files is not set.zCould not find r<)osrLjoinexists ValueErrorrSskip)rrL BASE_PATHrs* r.decodatapath..decosfww||I--ww~~d##  *4&0WX KK/$q1 2 r0)rrLrdirname__file__)rrrsf @r.datapathrs2& RWW__X6@I Kr0UTCz Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15)hoursrEi,cVP#)z< Fixture for trying timezones including default (None): {0} rrs&r.tz_naive_fixturerrr0rcVP#)z, Fixture for trying explicit timezones: {0} rrs&r.tz_aware_fixturerrr0utcz dateutil/UTCcVP#)zI Fixture to provide variants of UTC timezone strings and tzinfo objects. rrs&r. utc_fixturerrr0cVP#)z datetime64 units we support. rrs&r.rrrr0cVP#)z> Parametrized fixture for string dtypes. * str * 'str' * 'U' rrs&r. string_dtyper ==r0pythonpyarrowcJVPwr\P!W4#)z Parametrized fixture for string dtypes. * 'string[python]' (NA variant) * 'string[pyarrow]' (NA variant) * 'str' (NaN variant, with pyarrow) * 'str' (NaN variant, without pyarrow) )rr{ StringDtyperstoragena_values& r.string_dtype_no_objectr s0 G >>' ,,r0cVP#)zQ Parametrized fixture for string dtypes. * 'string[python]' * 'string[pyarrow]' rrs&r.nullable_string_dtyper * ==r0c>\P!VP!#)za Parametrized fixture for string dtypes backed by Pyarrow. * 'str[pyarrow]' * 'string[pyarrow]' )r{rrrs&r.pyarrow_string_dtyper:s >>7== ))r0cVP#zR Parametrized fixture for pd.options.mode.string_storage. * 'python' * 'pyarrow' rrs&r.string_storagerJrr0cVP#)zy Parametrized fixture for StringDtype storage and na_value. * 'python' + pd.NA * 'pyarrow' + pd.NA * 'pyarrow' + np.nan rrs&r.string_dtype_argumentsrZs, ==r0numpy_nullablecVP#rrrs&r. dtype_backendrsrr0cVP#)z; Parametrized fixture for bytes dtypes. * bytes * 'bytes' rrs&r. bytes_dtyper ==r0cVP#)z> Parametrized fixture for object dtypes. * object * 'object' rrs&r. object_dtyperrr0c\VP\P4'd VP#VPwr\P !W4#)z Parametrized fixture for string dtypes. * 'object' * 'string[python]' (NA variant) * 'string[pyarrow]' (NA variant) * 'str' (NaN variant, with pyarrow) * 'str' (NaN variant, without pyarrow) ) isinstancerrzr_r{rrs& r.any_string_dtyper s@2'--**}}$MM~~g00r0cVP#)zL Parametrized fixture for datetime64 dtypes. * 'datetime64[ns]' * 'M8[ns]' rrs&r.datetime64_dtyper"rr0cVP#)zN Parametrized fixture for timedelta64 dtypes. * 'timedelta64[ns]' * 'm8[ns]' rrs&r.timedelta64_dtyper$rr0cV^8dQhRR/#)r)r*rr,)r-s"r.r/r/sir0c &\R^^^ ^^ ^R7#)z% Fixture emits fixed Timestamp.now() i)rrurhourminuter2 microsecond)rr,r0r. fixed_now_tsr*s  1RR r0cVP#)zJ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' rrs&r.float_numpy_dtyper,rr0cVP#)zB Parameterized fixture for float dtypes. * 'Float32' * 'Float64' rrs&r.float_ea_dtyper.rr0cVP#)zb Parameterized fixture for float dtypes. * float * 'float32' * 'float64' * 'Float32' * 'Float64' rrs&r.any_float_dtyper0rr0cVP#)zS Parameterized fixture for complex dtypes. * complex * 'complex64' * 'complex128' rrs&r. complex_dtyper2rr0cVP#)z Parameterized fixture for complex and numpy float dtypes. * complex * 'complex64' * 'complex128' * float * 'float32' * 'float64' rrs&r.complex_or_float_dtyper4s ==r0cVP#)z` Parameterized fixture for signed integer dtypes. * int * 'int8' * 'int16' * 'int32' * 'int64' rrs&r.any_signed_int_numpy_dtyper6#rr0cVP#)z` Parameterized fixture for unsigned integer dtypes. * 'uint8' * 'uint16' * 'uint32' * 'uint64' rrs&r.any_unsigned_int_numpy_dtyper81rr0cVP#)z Parameterized fixture for any integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' rrs&r.any_int_numpy_dtyper:>rr0cVP#)z Parameterized fixture for any nullable integer dtype. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' rrs&r.any_int_ea_dtyper<Prr0cVP#)z Parameterized fixture for any nullable integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' rrs&r. any_int_dtyper>as. ==r0cVP#)z Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' rrs&r.any_numeric_ea_dtyper@{rr0cVP#)a~ Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' * 'uint8[pyarrow]' * 'int8[pyarrow]' * 'uint16[pyarrow]' * 'int16[pyarrow]' * 'uint32[pyarrow]' * 'int32[pyarrow]' * 'uint64[pyarrow]' * 'int64[pyarrow]' * 'float32[pyarrow]' * 'float64[pyarrow]' rrs&r.any_numeric_ea_and_arrow_dtyperBs@ ==r0cVP#)zf Parameterized fixture for any signed nullable integer dtype. * 'Int8' * 'Int16' * 'Int32' * 'Int64' rrs&r.any_signed_int_ea_dtyperDrr0cVP#)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' rrs&r.any_real_numpy_dtyperFs$ ==r0cVP#)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' and associated ea dtypes. rrs&r.any_real_numeric_dtyperHs( ==r0cVP#)aT Parameterized fixture for all numpy dtypes. * bool * 'bool' * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' * complex * 'complex64' * 'complex128' * str * 'str' * 'U' * bytes * 'bytes' * 'datetime64[ns]' * 'M8[ns]' * 'timedelta64[ns]' * 'm8[ns]' * object * 'object' rrs&r.any_numpy_dtyperJrr0cVP#)a Parameterized fixture for all real dtypes that can hold NA. * float * 'float32' * 'float64' * 'Float32' * 'Float64' * 'UInt8' * 'UInt16' * 'UInt32' * 'UInt64' * 'Int8' * 'Int16' * 'Int32' * 'Int64' * 'uint8[pyarrow]' * 'uint16[pyarrow]' * 'uint32[pyarrow]' * 'uint64[pyarrow]' * 'int8[pyarrow]' * 'int16[pyarrow]' * 'int32[pyarrow]' * 'int64[pyarrow]' * 'float[pyarrow]' * 'double[pyarrow]' rrs&r.any_real_nullable_dtyperLs: ==r0cVP#)a9 Parameterized fixture for all numeric dtypes. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' * complex * 'complex64' * 'complex128' * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' rrs&r.any_numeric_dtyperN2s> ==r0cmixedbytesacz mixed-integerg@floatingg?integerzmixed-integer-floatdecimal datetime64z 2013-01-01z 2018-01-01rW20180101riicomplexrc\VPwr\P!V\R7pW3#)a Fixture for all inferred dtypes from _libs.lib.infer_dtype The covered (inferred) types are: * 'string' * 'empty' * 'bytes' * 'mixed' * 'mixed-integer' * 'mixed-integer-float' * 'floating' * 'integer' * 'decimal' * 'boolean' * 'datetime64' * 'datetime' * 'date' * 'timedelta' * 'time' * 'period' * 'interval' Returns ------- inferred_dtype : str The string for the inferred dtype from _libs.lib.infer_dtype values : np.ndarray An array of object dtype that will be inferred to have `inferred_dtype` Examples -------- >>> from pandas._libs import lib >>> >>> def test_something(any_skipna_inferred_dtype): ... inferred_dtype, values = any_skipna_inferred_dtype ... # will pass ... assert lib.infer_dtype(values, skipna=True) == inferred_dtype r^)rrzrMrA)rinferred_dtypers& r.any_skipna_inferred_dtyper\us,R%]]N XXfF +F  !!r0c\P!RRR7^RIHp^RIHpV!4pRVP nV!VR7#)z^ Get an instance of IPython.InteractiveShell. Will raise a skip if IPython is not installed. IPythonz6.0.0) minversion)InteractiveShell)Configz:memory:)rh)rS importorskipIPython.core.interactiveshellr`traitlets.configraHistoryManager hist_file)r`rarOs r.iprgs<  g6>(A!+A 1 %%r0c#"\P!R4p\P!R4p\P!R4pVPP4pVP 4;_uu_4VP R4RxRRR4VPP 4VPPV4VPR4\P!^4R# +'giLn;i TPP 4TPPT4TPR4\P!^4i;i5i)a Ensure Matplotlib is cleaned up around a test. Before a test is run: 1) Set the backend to "template" to avoid requiring a GUI. After a test is run: 1) Reset units registry 2) Reset rc_context 3) Close all figures See matplotlib/testing/decorators.py#L24. matplotlibzmatplotlib.unitszmatplotlib.pyplottemplateNr) rSrbregistryr rc_contextuseclearupdateclosegccollect)mpl mpl_unitspltorig_units_registrys r. mpl_cleanuprws"   l +C##$67I   1 2C#,,113  ^^   GGJ     "!!"56 % 1     "!!"56 % 1 s8AE( D8C4DAE(4 D ?DAE%%E(TickcVP#)zF Fixture for Tick based datetime offsets available for a time series. rrs&r. tick_classesrzrr0cV#rr,rs&r.rrsr0cVP#)z_ Simple fixture for testing keys in sorting methods. Tests None (no key) and the identity key. rrs&r. sort_by_keyr}rr0cV^8dQhRR/#)r)r*z#tuple[Hashable, Hashable, Hashable]r,)r-s"r.r/r/s9r0cVP#)zH A 3-tuple of names, the first two for operands, the last for a result. rrs&r.r4r4s ==r0cVP#)zA Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__ rrs&r. indexer_slirrr0cVP#)z4 Parametrize over loc.__getitem__, iloc.__getitem__ rrs&r. indexer_lirrr0cVP#)z0 Parametrize over __setitem__, iloc.__setitem__ rrs&r. indexer_sirrr0cVP#)z/ Parametrize over __setitem__, loc.__setitem__ rrs&r. indexer_slrrr0cVP#)z2 Parametrize over at.__setitem__, loc.__setitem__ rrs&r. indexer_alr&rr0cVP#)z4 Parametrize over iat.__setitem__, iloc.__setitem__ rrs&r. indexer_ialr.rr0cV^8dQhRR/#)r)r*zIterator[bool | type[Warning]]r,)r-s"r.r/r/7sGG$BGr0c#"\P!RVP4;_uu_4VP'd\PPMRxRRR4R# +'giR#;i5i)z Fixture to check if performance warnings are enabled. Either produces ``PerformanceWarning`` if they are enabled, otherwise ``False``. zmode.performance_warningsFN)r{option_contextrr&PerformanceWarningrs&r.performance_warningr6sH  6 F F.5mmmbii**F G F F Fs*A;1A' A;' A8 2 A;cV^8dQhRR/#r)r*boolr,)r-s"r.r/r/As22D2r0cN\PPPRJ#)z5 Fixture to check if infer string option is enabled. T)r{optionsfuture infer_stringr,r0r.using_infer_stringr@s ::   ) )T 11r0cV^8dQhRR/#rr,)r-s"r.r/r/Is44d4r0cN\PPPRJ#)T)r{rrpython_scalarsr,r0r.using_python_scalarsrHs ::   + +t 33r0z Europe/Warsawzdateutil/Europe/Warsawz list[Any]_warsawscV^8dQhRR/#)r)r*rMr,)r-s"r.r/r/Sssr0cVP#)z= tzinfo for Europe/Warsaw using pytz, dateutil, or zoneinfo. rrs&r.warsawrRrr0cpV\\P!44, pVP4V#)z Generate a unique file for testing use. See link for removal policy. https://docs.pytest.org/en/7.1.x/how-to/tmp_path.html#the-default-base-temporary-directory )rMuuiduuid4touch)tmp_path file_paths& r. temp_filerZs) 3tzz|,,I OO r0rH)scopec#"\PP4;_uu_4pVxRRR4R# +'giR#;i5ir)rS MonkeyPatchcontext)mps r. monkeysessionres/    # # % % & % % %s'A 8 A  A  A c#"VPp\P!RV'*4;_uu_4VxRRR4R# +'giR#;i5i)zfuture.distinguish_nan_and_naN)rr{r)ropts& r.using_nan_is_narks8 --C  :G D D  E D D Ds1AA A A Aii)r:r>rr)TFN)r1lastF)bothneitherrr)rrrr)innerouterrr)averageminmaxr1dense)rrrM)r6r7r8)r>r)r?)r:r:r>r>r)r))ruintfloat)rdrvr{ro) countr&rrmeanprodstdvarmediankurtskewsem)__le____lt____ge____gt__)__and____rand____or____ror____xor____rxor__)cumsumcumprodcummincummaxri)rmsusns)string=string[python]string=string[pyarrow]string=str[pyarrow]string=str[python])z string=objectrrrry??y@@)r6NN)EgonVenkmanN)NCC1701Drr(I__conditional_annotations____doc__ __future__r collectionsrrrrrrrVr rqoperatorrtypingr r r dateutil.tzr r hypothesisrstnumpyrzrSpandas.compat._optionalrpandas.util._test_decoratorsutil_test_decoratorstdpandas.core.dtypes.dtypesrrpandasr{rrrrrrrrrrrrpandas._testing_testingtm pandas.corerpandas.core.indexes.apirr collections.abcr!r"r#rpa has_pyarrow ImportErrorr$r8rIrVrksettingsregister_profile HealthChecktoo_slowdiffering_executors load_profilesplitrPgetattrtseriesoffsetsclsregister_type_strategybuildsintegersbooleansfixturer}rrrrrrrrrrrr skip_if_norrrrrrrrrrrrr NULL_OBJECTSrnulls_fixture2nanNaTrunique_nulls_fixture2NP_NAT_OBJECTSrnp_nat_fixture2rrrMrrbox_with_array2rrr.r@rJrSr\rdrArrr$ from_breakslinspacerrr)ridxkeysrrgrr startswithrrrrr_seriesrNARROW_NP_DTYPESr_narrow_seriesrrPYTHON_DATA_TYPES_typ_objects_seriesrrrrras_unitrarithmetic_dunder_methodsraddraddsubrsubmulrmultruedivrtruedivfloordiv rfloordivmodrmodpowrpoweqneltlegtgeand_rand_xorrxoror_ror_rr_all_numeric_reductionsr_all_boolean_reductionsr_all_reductionsrrrr_all_numeric_accumulationsrrrr TIMEZONESextend FixedOffsetrepr TIMEZONE_IDSparametrize_fixture_docrMrr_UTCSappendr utc_fixture2runit2 STRING_DTYPESrNAr r rrrrstring_storage2string_dtype_arguments2 BYTES_DTYPESr OBJECT_DTYPESrr_r any_string_dtype2DATETIME64_DTYPESr"TIMEDELTA64_DTYPESr$r*FLOAT_NUMPY_DTYPESr,FLOAT_EA_DTYPESr.ALL_FLOAT_DTYPESr0COMPLEX_DTYPESr2COMPLEX_FLOAT_DTYPESr4SIGNED_INT_NUMPY_DTYPESr6UNSIGNED_INT_NUMPY_DTYPESr8ALL_INT_NUMPY_DTYPESr:ALL_INT_EA_DTYPESr<ALL_INT_DTYPESr>r@ALL_INT_PYARROW_DTYPES_STR_REPRFLOAT_PYARROW_DTYPES_STR_REPRrBSIGNED_INT_EA_DTYPESrDALL_REAL_NUMPY_DTYPESrFALL_REAL_DTYPESrHALL_NUMPY_DTYPESrJALL_REAL_NULLABLE_DTYPESrLALL_NUMERIC_DTYPESrNrW_any_skipna_inferred_dtyperr\rgrw__all__ issubclassrxrzr}r4setitemlocilocrrrratriatrrrrr__annotations__rrrr) rrvalueindex_idrr_pairors 00000000@r.rms(#   ' >))        K!&:6,I$1        V2==#=>    e}%&:;< K012h'()e}%&BCDe}%&e}%&e}%&w vr,FGHbffbff-./-r((.HIJ! 6*+,vWh,?@ A vrxx06RSTvy"((;AUVW!  0"  (* eE"I6Iqwqc]I6fE* eE"I6Iqwqc]I6eD* <4*:lB<H *  l<#> * wE * Z^* E"))B-v .* U299R= 0* U299R= 0* U299R= 0* U299R= 0* eBIIbM2* eBIIbM2* eBIIbM2* uRYYr])4!*"uRYYr])4#*$5$*&9%*&%u )6'*( "K(4"))Bk2R+RR)*.% "L)D299R|3T,TT/*4#DL1$455*6 ))"++a"*EF7*8 U2Y9*: j$$ !9T:;*@8:A*B  !C*Du'(E*FE"))B-w7G*HU299R=9I*JeBIIbM;K*LU299R=//5YGM*NU r3AGA3-3;KLO* V r;AGA3-;CTU VC%(L!"|((*+ 8, 8*002 2 *UJ:W2  .  .',,. .JC NN3 4 AA 5*- .  + +4CC;(--/ /8*F#^E%::/  !!$$ % ~~g b E"I6IqBqc(I6S!% F<E7EnE,1134A5A<>;O;O;O%~~gu -;O        388:;H<H    UU. q "M'7$CD s# & i(IJ   $k2  3 '5 l| 4 < ?     255 i'r}}Y/GH i( i0HI 266       YbmmI&>?    !0r'(r''()  255 i'r}}Y/GH i( i0HI 266    1! 1$%r++,-r,,-.r,,-.r))*+r**+ , r(()*r../ 0 r112 3 r334 5 r../0"r++, -  r(()*2r++b.@.@@AB*   (( ) && '   :r../ 0 r//01(r))*+,r**+!,!Hr2234>r,,-.FRVVS!" RUUC ! sBFFC ! tRVVT"# rvvrvvrvv&' bMsBFFA&' sBFFC !#rvvs#$BFFAQ,-RVVWQZ01rvvu%&ruue$%BMM,/|9TUV)J':1FGH d4AT1a(8 9:()9Q<167 d1grvvtAw '( t bfffTl34(1a."&&(1a.9:3832GG2 1s;,"<,"d&&$@## #A gbjj!,bjjoo > CD;  A# k*+,!,    ruu    BFFBGG456()* BGG,-. BFF+,-rvv'(()*e}%G&G2244'(@A)A OODMM/23x !i ! e}%&g@Kp76L4<(  Z  7(D ,DZ s7A9B@ B@ +B@)B@ B@ )B@ B@# B@# B@# B@# B@)'B@4.B@/<B@4 B@:IB@?pBAr8BA sBA s!BA 9 B@@B@@/B@4