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These indices are unlikely to cover corner cases, e.g. - no names - no NaTs/NaNs - no values near implementation bounds - ... ) indices_dictr{copyr|s r0rnrns  & + + --r2cHURn[UR5$)z0 index fixture, but excluding MultiIndex cases. )r{rcrd)r}rs r0 index_flatrfs! --C   ! ! ##r2)ruintfloat)rArUrYrLcP[URRSS9nURR5nURS;aBUR 5nSUSSS-US'SUSSS-US'[ R "U5$SUS'SUS'[U5"U5$) z Fixture for indices with missing values. Integer-dtype and empty cases are excluded because they cannot hold missing values. MultiIndex is excluded because isna() is not defined for MultiIndex. Tdeep)rVrWrXrrr[N)rcr{rdvaluestolistr$ from_tuplesr)r}indvalss r0index_with_missingrrs. w}} % * * * 5C ::?? D}}CCzz|DGABK'QT"Xab\)R%%d++QRCyr2c [[R"S[RS9S-[ [ S5Vs/sHnSU3PM sn5SS9$s snf)z; Fixture for Series of floats with Index of unique strings r;g?i_rrnr5)rrdarangerKr#rAis r0 string_seriesrzsO  "BJJ'#-uRy1y!r!Xy12  1sAc[S5Vs/sHnSU3PM nn[[S5Vs/sHnSU3PM sn5n[XS[S9$s snfs snf)zA Fixture for Series of dtype object with Index of unique strings rtfoo_bar_objectsrnr5r<)rAr#rr9)rydatarns r0 object_seriesrs\ !&b * 1d1#J D * uRy1y!T!:y1 2E $)6 BB +1s AAc [[RRS5R S5[ SSSS9SS9$)z1 Fixture for Series of floats with DatetimeIndex rrtrrrtsrv)rrdrrrrrlr2r0datetime_seriesrs=  a 004r<  r2c[U5n[RRS5R U5n[ X SSS9$)zHelper for the _series dictrr1F)rnr5rd)lenrdrrrr)rnsizers r0_create_seriesrs9 u:D 99  # 3 3D 9D $#E ::r2z series-with-z-indexc[U5$)z= Fixture for tests on series with changing types of indices. )rrns r0series_with_simple_indexrs %  r2z-seriesrtzi-r1rcB[URRSS9$)zp Fixture for tests on indexes, series and series with a narrow dtype copy to avoid mutation, e.g. setting .name Trj)_index_or_series_objsr{rdr|s r0index_or_series_objr%s! ! / 4 4$ 4 ??r2cB[URRSS9$)z Fixture for tests on indexes, series, series with a narrow dtype and series with empty objects type copy to avoid mutation, e.g. setting .name Trj)_index_or_series_memory_objsr{rdr|s r0index_or_series_memory_objr;s! ( 6 ; ; ; FFr2c [[R"S[RS9[ [ S5Vs/sHnSU3PM sn5[ [ S55S9$s snf)z^ Fixture for DataFrame of ints with index of unique strings Columns are ['A', 'B', 'C', 'D'] rtrr;rtr|rr&)rrdonesrEr#rArrxs r0 int_framerHsS  rxx(r3AtA3Z34d6l# 3sA%c [[RRS5R S5[ [ S5Vs/sHnSU3PM sn5[ [S55S9$s snf)za Fixture for DataFrame of floats with index of unique strings Columns are ['A', 'B', 'C', 'D']. rrrtr|rr&)rrdrrrr#rArrxs r0 float_framerVs^  a 009r3AtA3Z34d6l# 3sA0ct[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5[SSS5/ n[[RR S5R [ U55US9$)z> Fixture for Series with a DatetimeIndex that has duplicates. ir[rrrrZr)rrrdrrrr)datess r0(rand_series_with_duplicate_datetimeindexrds q!q!q!q!q!q!q!q!q!q! E "))''*::3u:Fe TTr2)rrrg?g?z2012-01M)rz period[M]z 2012-02-01z period[D]z 2011-01-01r4)r6s)unitr6i)secondsztimedelta64[ns]cUR$rrzr|s r0ea_scalar_and_dtyper| ==r2cUR$)z< Fixture for dunder names for common arithmetic operations. rzr|s r0all_arithmetic_operatorsrrr2cUR$)zM Fixture for operator and roperator arithmetic, comparison, and logical ops. rzr|s r0all_binary_operatorsrD ==r2cUR$)z Fixture for operator and roperator arithmetic functions. Notes ----- This includes divmod and rdivmod, whereas all_arithmetic_operators does not. rzr|s r0all_arithmetic_functionsrs6 ==r2) countrmaxminmeanprodstdvarmediankurtskewsemcUR$)z& Fixture for numeric reduction names. rzr|s r0all_numeric_reductionsrrr2allanycUR$)z& Fixture for boolean reduction names. rzr|s r0all_boolean_reductionsrrr2cUR$)z6 Fixture for all (boolean + numeric) reduction names. rzr|s r0all_reductionsrrr2cUR$)z3 Fixture for operator module comparison functions. rzr|s r0 comparison_opr rr2)__le____lt____ge____gt__cUR$)zU Fixture for dunder names for compare operations except == and != * >= * > * < * <= rzr|s r0compare_operators_no_eq_nerrr2)__and____rand____or____ror____xor____rxor__cUR$)zE Fixture for dunder names for common logical operations * | * & * ^ rzr|s r0all_logical_operatorsr) ==r2)cumsumcumprodcummincummaxcUR$)z( Fixture for numeric accumulation names rzr|s r0all_numeric_accumulationsr:rr2c$URS5$)zJ Returns the configuration for the test setting `--no-strict-data-files`. r*)rM) pytestconfigs r0strict_data_filesrEs  ! !": ;;r2c^^[RR[RR[5S5mUU4SjnU$)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>[RR"T/UQ76n[RRU5(d0T(a[ SUS35e[ R "SUS35 U$)NzCould not find file z' and --no-strict-data-files is not set.zCould not find .)osr<joinexists ValueErrorr8skip)rr< BASE_PATHrs r0decodatapath..decobsfww||I--ww~~d##  *4&0WX KK/$q1 2 r2)rr<rdirname__file__)rrrs` @r0datapathrMs2& RWW__X6@I Kr2z Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15i,i)hoursrlrr%cUR$)z< Fixture for trying timezones including default (None): {0} rzr|s r0tz_naive_fixturerrr2cUR$)z, Fixture for trying explicit timezones: {0} rzr|s r0tz_aware_fixturerrr2rz dateutil/UTCcUR$)zI Fixture to provide variants of UTC timezone strings and tzinfo objects. rzr|s r0 utc_fixturerrr2)rmsusnscUR$)z datetime64 units we support. rzr|s r0rrrr2cUR$)z> Parametrized fixture for string dtypes. * str * 'str' * 'U' rzr|s r0 string_dtyper ==r2pythonpyarrow)string=string[python]string=string[pyarrow]string=str[pyarrow]string=str[python]cJURup[R"X5$)z Parametrized fixture for string dtypes. * 'string[python]' (NA variant) * 'string[pyarrow]' (NA variant) * 'str' (NaN variant, with pyarrow) * 'str' (NaN variant, without pyarrow) )r{re StringDtyper}storagena_values r0string_dtype_no_objectrs0 G >>' ,,r2cUR$)zQ Parametrized fixture for string dtypes. * 'string[python]' * 'string[pyarrow]' rzr|s r0nullable_string_dtyper ==r2c<[R"UR6$)za Parametrized fixture for string dtypes backed by Pyarrow. * 'str[pyarrow]' * 'string[pyarrow]' )rerr{r|s r0pyarrow_string_dtypers >>7== ))r2cUR$zR Parametrized fixture for pd.options.mode.string_storage. * 'python' * 'pyarrow' rzr|s r0string_storager rr2cUR$)zy Parametrized fixture for StringDtype storage and na_value. * 'python' + pd.NA * 'pyarrow' + pd.NA * 'pyarrow' + np.nan rzr|s r0string_dtype_argumentsrs, ==r2numpy_nullablecUR$rrzr|s r0 dtype_backendr 5rr2cUR$)z; Parametrized fixture for bytes dtypes. * bytes * 'bytes' rzr|s r0 bytes_dtyper J ==r2cUR$)z> Parametrized fixture for object dtypes. * object * 'object' rzr|s r0 object_dtyperUrr2)z string=objectrrrrc[UR[R5(a UR$URup[R "X5$)z Parametrized fixture for string dtypes. * 'object' * 'string[python]' (NA variant) * 'string[pyarrow]' (NA variant) * 'str' (NaN variant, with pyarrow) * 'str' (NaN variant, without pyarrow) ) isinstancer{rdr<rerrs r0any_string_dtyper`s@2'--**}}$MM~~g00r2cUR$)zL Parametrized fixture for datetime64 dtypes. * 'datetime64[ns]' * 'M8[ns]' rzr|s r0datetime64_dtyperrr2cUR$)zN Parametrized fixture for timedelta64 dtypes. * 'timedelta64[ns]' * 'm8[ns]' rzr|s r0timedelta64_dtyperrr2c  [SSSSSSSS9$)z% Fixture emits fixed Timestamp.now() ir[r\r )rr_rhourminuter microsecond)rrlr2r0 fixed_now_tsrs  1RR r2cUR$)zJ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' rzr|s r0float_numpy_dtyper rr2cUR$)zB Parameterized fixture for float dtypes. * 'Float32' * 'Float64' rzr|s r0float_ea_dtyper"rr2cUR$)zb Parameterized fixture for float dtypes. * float * 'float32' * 'float64' * 'Float32' * 'Float64' rzr|s r0any_float_dtyper$rr2cUR$)zS Parameterized fixture for complex dtypes. * complex * 'complex64' * 'complex128' rzr|s r0 complex_dtyper&rr2cUR$)z Parameterized fixture for complex and numpy float dtypes. * complex * 'complex64' * 'complex128' * float * 'float32' * 'float64' rzr|s r0complex_or_float_dtyper(s ==r2cUR$)z` Parameterized fixture for signed integer dtypes. * int * 'int8' * 'int16' * 'int32' * 'int64' rzr|s r0any_signed_int_numpy_dtyper*rr2cUR$)z` Parameterized fixture for unsigned integer dtypes. * 'uint8' * 'uint16' * 'uint32' * 'uint64' rzr|s r0any_unsigned_int_numpy_dtyper,rr2cUR$)z Parameterized fixture for any integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' rzr|s r0any_int_numpy_dtyper.rr2cUR$)z Parameterized fixture for any nullable integer dtype. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' rzr|s r0any_int_ea_dtyper0rr2cUR$)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' rzr|s r0 any_int_dtyper2 s. ==r2cUR$)z Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' rzr|s r0any_numeric_ea_dtyper4:s" ==r2cUR$)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]' rzr|s r0any_numeric_ea_and_arrow_dtyper6Ps@ ==r2cUR$)zf Parameterized fixture for any signed nullable integer dtype. * 'Int8' * 'Int16' * 'Int32' * 'Int64' rzr|s r0any_signed_int_ea_dtyper8srr2cUR$)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' rzr|s r0any_real_numpy_dtyper:s$ ==r2cUR$)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' and associated ea dtypes. rzr|s r0any_real_numeric_dtyper<s( ==r2cUR$)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' rzr|s r0any_numpy_dtyper>rr2cUR$)a Parameterized fixture for all real dtypes that can hold NA. * float * 'float32' * 'float64' * 'Float32' * 'Float64' * 'UInt8' * 'UInt16' * 'UInt32' * 'UInt64' * 'Int8' * 'Int16' * 'Int32' * 'Int64' * 'uint8[pyarrow]' * 'uint16[pyarrow]' * 'uint32[pyarrow]' * 'uint64[pyarrow]' * 'int8[pyarrow]' * 'int16[pyarrow]' * 'int32[pyarrow]' * 'int64[pyarrow]' * 'float[pyarrow]' * 'double[pyarrow]' rzr|s r0any_real_nullable_dtyper@s: ==r2cUR$)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' rzr|s r0any_numeric_dtyperBs> ==r2cmixedbytesacz mixed-integerrg@floatingg?integerzmixed-integer-floatdecimal datetime64z 2013-01-01z 2018-01-01r320180101riicomplexy??y@@rcVURup[R"U[S9nX4$)a Fixture for all inferred dtypes from _libs.lib.infer_dtype The covered (inferred) types are: * 'string' * 'empty' * 'bytes' * 'mixed' * 'mixed-integer' * 'mixed-integer-float' * 'floating' * 'integer' * 'decimal' * 'boolean' * 'datetime64' * 'datetime' * 'date' * 'timedelta' * 'time' * 'period' * 'interval' Returns ------- inferred_dtype : str The string for the inferred dtype from _libs.lib.infer_dtype values : np.ndarray An array of object dtype that will be inferred to have `inferred_dtype` Examples -------- >>> from pandas._libs import lib >>> >>> def test_something(any_skipna_inferred_dtype): ... inferred_dtype, values = any_skipna_inferred_dtype ... # will pass ... assert lib.infer_dtype(values, skipna=True) == inferred_dtype r;)r{rdrr9)r}inferred_dtyperms r0any_skipna_inferred_dtyperP2s,R%]]N XXfF +F  !!r2c[R"SSS9 SSKJn SSKJn U"5nSUR lU"US9$) z^ Get an instance of IPython.InteractiveShell. Will raise a skip if IPython is not installed. IPythonz6.0.0) minversionr)InteractiveShell)Configz:memory:)rO)r8 importorskipIPython.core.interactiveshellrTtraitlets.configrUHistoryManager hist_file)rTrUrCs r0ipr[es<  g6>(A!+A 1 %%r2)bsrcoocsccsrdiadoklilc^[R"S5n[XRS-5$)z% Yields scipy sparse matrix classes. z scipy.sparse_matrix)r8rVgetattrr{)r}sparses r0spmatrixrgxs(   0F 6==94 55r2TickcUR$)zF Fixture for Tick based datetime offsets available for a time series. rzr|s r0 tick_classesrjrr2cU$rrlrts r0rvrvsr2cUR$)z_ Simple fixture for testing keys in sorting methods. Tests None (no key) and the identity key. rzr|s r0 sort_by_keyrmrr2)rNN)EgonVenkmanN)NCC1701DrprpcUR$)zH A 3-tuple of names, the first two for operands, the last for a result. rzr|s r0rrs ==r2cUR$)zA Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__ rzr|s r0 indexer_slirsrr2cUR$)z4 Parametrize over loc.__getitem__, iloc.__getitem__ rzr|s r0 indexer_lirurr2cUR$)z0 Parametrize over __setitem__, iloc.__setitem__ rzr|s r0 indexer_sirwrr2cUR$)z/ Parametrize over __setitem__, loc.__setitem__ rzr|s r0 indexer_slryrr2cUR$)z2 Parametrize over at.__setitem__, loc.__setitem__ rzr|s r0 indexer_alr{rr2cUR$)z4 Parametrize over iat.__setitem__, iloc.__setitem__ rzr|s r0 indexer_ialr}rr2c[SSS9S:H$)z6 Fixture to check if the array manager is being used. mode.data_managerTsilentrrrlr2r0using_array_managerrs *4 8G CCr2cv[RRRSL=(a [ SSS9S:H$)z/ Fixture to check if Copy-on-Write is enabled. Trrblockreoptionsmode copy_on_writerrlr2r0using_copy_on_writers5 %%- E +D 9W Dr2cx[RRRS:H=(a [ SSS9S:H$)z7 Fixture to check if Copy-on-Write is in warning mode. warnrTrrrrlr2r0warn_copy_on_writers5 %%/ E +D 9W Dr2cN[RRRSL$)z5 Fixture to check if infer string option is enabled. T)rerfuture infer_stringrlr2r0using_infer_stringrs ::   ) )T 11r2z Europe/Warsawzdateutil/Europe/WarsawcUR$)z= tzinfo for Europe/Warsaw using pytz, dateutil, or zoneinfo. rzr|s r0warsawrrr2cg)N)r pyarrow_numpyrlrlr2r0arrow_string_storagers 'r2r)r;z pytest.Itemr<r3r=r3rr)rz type[dict])rztype[abc.Mapping])rr$)rr)rr)rr3rzCallable[..., str])rr)rz#tuple[Hashable, Hashable, Hashable])rbool)rr3(E__doc__ __future__r collectionsrrrrrr rJr operatorrtypingr r dateutil.tzr r hypothesisrstnumpyrdr8pytzrrpandas._config.configrpandas.util._test_decoratorsutil_test_decoratorstdpandas.core.dtypes.dtypesrrpandasrerrrrrrrrrrr r!pandas._testing_testingtm pandas.corer"pandas.core.indexes.apir#r$pandas.util.versionr%collections.abcr&r'rpa has_pyarrow ImportErrorzoneinfoZoneInfoZoneInfoNotFoundErrorr1r>rR HealthChecktoo_slowhypothesis_health_checks __version__appenddiffering_executorssettingsregister_profiletuple load_profilesplitr5retseriesoffsetsclsregister_type_strategybuildsintegersbooleansfixturergrmr~ axis_framerrrrrrrrr{ skip_if_norrrrr NULL_OBJECTSrnulls_fixture2nanNaTrunique_nulls_fixture2NP_NAT_OBJECTSrnp_nat_fixture2rrindex_or_series2rrrbox_with_array2rrrrr'r/r8rAr9rwrr from_breakslinspacerorr rcidxkeysrnindex_fixture2rNrrf index_flat2 startswithrrrzrrr_seriesrNARROW_NP_DTYPESr_narrow_seriesrrPYTHON_DATA_TYPES_typ_objects_seriesrrrrrrarithmetic_dunder_methodsraddraddsubrsubmulrmultruedivrtruedivfloordiv rfloordivmodrmodpowrpoweqneltlegtgeand_rand_xorrxoror_ror_rr_all_numeric_reductionsr_all_boolean_reductionsr_all_reductionsrrrr_all_numeric_accumulationsrrr TIMEZONESextendrs TIMEZONE_IDSparametrize_fixture_docr3rrtz_aware_fixture2_UTCSr utc_fixture2runit2 STRING_DTYPESrNArrrrrr string_storage2string_dtype_arguments2 BYTES_DTYPESr  OBJECT_DTYPESrr<rDATETIME64_DTYPESrTIMEDELTA64_DTYPESrrFLOAT_NUMPY_DTYPESr FLOAT_EA_DTYPESr"ALL_FLOAT_DTYPESr$COMPLEX_DTYPESr&COMPLEX_FLOAT_DTYPESr(SIGNED_INT_NUMPY_DTYPESr*UNSIGNED_INT_NUMPY_DTYPESr,ALL_INT_NUMPY_DTYPESr.ALL_INT_EA_DTYPESr0ALL_INT_DTYPESr2r4ALL_INT_PYARROW_DTYPES_STR_REPRFLOAT_PYARROW_DTYPES_STR_REPRr6SIGNED_INT_EA_DTYPESr8ALL_REAL_NUMPY_DTYPESr:ALL_REAL_DTYPESr<ALL_NUMPY_DTYPESr>ALL_REAL_NULLABLE_DTYPESr@ALL_NUMERIC_DTYPESrBrK_any_skipna_inferred_dtyperx_rPr[rg__all__ issubclassrhrjrmrsetitemlocilocrsrurwryatr{iatr}rrrrwarsawsrr)ryrvalueindex_idrnr<os0000000r0r-s&#  '  .))     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RUUC ! sBFFC ! tRVVT"# rvvrvvrvv&' bMsBFFA&' sBFFC !#rvvs#$BFFAQ,-RVVWQZ01rvvu%&ruue$%BMM,/|9TUV)J':1FGH d4AT1a(8 9:()9Q<167 d1grvvtAw '( t bfffTl34(1a."&&(1a.9:36 ( )Q1s;,"<,"d&&$HI6J6## #A gbjj!,bjjoo > CD;  A# k*+,!,    ruu    BFFBGG456()* BGG,-. BFF+,-rvv'(()*DD22 4 5  NN8$$_56w ((k=K%%HJ87H5=0 " `  7(~ ,l s6As0As?At (At $At"At' At, At, At2 1At2 9 At2 At2 1At83(AuAt>* Au5 Au @1Aug&9Auh#Auh,Aus0As<s;As<s?AttAtt>Au