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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_dictrycopyrzr0r0r1rks cCsg|] \}}t|ts|qSr0) isinstancer#rrvaluer0r0r1rs cCs|j}t|S)z8 index fixture, but excluding MultiIndex cases. )ryr8r9)r{rr0r0r1 index_flats r=cCs0g|]\}}|ds|dvst|ts|qS))ruintfloat)rr+r/r") startswithr:r#r;r0r0r1rscCst|jjdd}|j}|jdvr4|}d|ddd|d<d|ddd|d<t|Sd|d<d|d<t||S) 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)r,r-r.rrrZN)r8ryr9valuestolistr# from_tuplesr)r{indvalsr0r0r1index_with_missings    rIrcCs0ttjdtjddtddtdDddS)zC Fixture for Series of floats with Index of unique strings rg?cSr )i_r0rr0r0r1rrz!string_series..rrkr8)rrbaranger!r"rr0r0r0r1 string_seriess rNcCs8ddtdD}tddtdD}t||dtdS)zI Fixture for Series of dtype object with Index of unique strings cSr foo_r0rr0r0r1rrz!object_series..rJcSr )bar_r0rr0r0r1rrobjectsrkr8r)rr"rr )datarkr0r0r1 object_seriessrUcCs&ttjddtddddddS)z9 Fixture for Series of floats with DatetimeIndex rrJrrrtsrL)rrbrrrrr0r0r0r1datetime_seriess  rWcCs*t|}tjd|}t||dddS)zHelper for the _series dictrrF)rkr8r9)lenrbrrrr)rksizerTr0r0r1_create_seriessrZcCs"i|] \}}d|dt|qS)z series-with-z-indexrZ)rindex_idrkr0r0r1 sr]cCst|S)zE Fixture for tests on series with changing types of indices. r[rkr0r0r1series_with_simple_indexsr_c Cs8i|]}|jdttdddtdDd|dqS)-seriesrJcSr )zi-r0rr0r0r1rrz.rrS)rrrrrr0r0r1r]s  cCt|jjddS)z| Fixture for tests on indexes, series and series with a narrow dtype copy to avoid mutation, e.g. setting .name TrA)_index_or_series_objsryr9rzr0r0r1index_or_series_obj%srdcCsi|] }|jdt|qS)r`)rrrar0r0r1r].scCrb)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 TrA)_index_or_series_memory_objsryr9rzr0r0r1index_or_series_memory_obj;srfcCs4ttjdtjdtddtdDttddS)zj Fixture for DataFrame of ints with index of unique strings Columns are ['A', 'B', 'C', 'D'] rJrrcSr rOr0rr0r0r1rQrzint_frame..rJrr)rrbonesrr"rrr0r0r0r1 int_frameHs  ricCs6ttjddtddtdDttddS)zm Fixture for DataFrame of floats with index of unique strings Columns are ['A', 'B', 'C', 'D']. rrgcSr rOr0rr0r0r1r_rzfloat_frame..rJrr)rrbrrrr"rrr0r0r0r1 float_frameVs  rjc Cstdddtdddtdddtdddtdddtdddtdddtdddtdddtdddg }ttjdt||dS)zF Fixture for Series with a DatetimeIndex that has duplicates. irZrrrrYr^)rrrbrrrrX)datesr0r0r1(rand_series_with_duplicate_datetimeindexds           rl)rrrg?g?z2012-01M)rz period[M]z 2012-02-01z period[D]z 2011-01-01r)rs)unitri)secondsztimedelta64[ns]cCrwrrxrzr0r0r1ea_scalar_and_dtype|rqcCrw)zD Fixture for dunder names for common arithmetic operations. rxrzr0r0r1all_arithmetic_operatorsr}rscCrw)zU Fixture for operator and roperator arithmetic, comparison, and logical ops. rxrzr0r0r1all_binary_operators"rtcCrw)z Fixture for operator and roperator arithmetic functions. Notes ----- This includes divmod and rdivmod, whereas all_arithmetic_operators does not. rxrzr0r0r1all_arithmetic_functionssrv) countrmaxminmeanprodstdvarmediankurtskewsemcCrw)z. Fixture for numeric reduction names. rxrzr0r0r1all_numeric_reductionsr}rallanycCrw)z. Fixture for boolean reduction names. rxrzr0r0r1all_boolean_reductionsr}rcCrw)z> Fixture for all (boolean + numeric) reduction names. rxrzr0r0r1all_reductionsr}rcCrw)z; Fixture for operator module comparison functions. rxrzr0r0r1 comparison_op rrr)__le____lt____ge____gt__cCrw)zm Fixture for dunder names for compare operations except == and != * >= * > * < * <= rxrzr0r0r1compare_operators_no_eq_nerr)__and____rand____or____ror____xor____rxor__cCrw)zY Fixture for dunder names for common logical operations * | * & * ^ rxrzr0r0r1all_logical_operators) r)cumsumcumprodcummincummaxcCrw)z0 Fixture for numeric accumulation names rxrzr0r0r1all_numeric_accumulations:r}rcCs |dS)zR Returns the configuration for the test setting `--no-strict-data-files`. r*)rL) pytestconfigr0r0r1strict_data_filesEs rCallable[..., str]cs(tjtjtdfdd}|S)aD 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. testscsJtjjg|R}tj|s#rtd|dtd|d|S)NzCould not find file z' and --no-strict-data-files is not set.zCould not find .)osr5joinexists ValueErrorr;skip)rr5 BASE_PATHrr0r1decobs  zdatapath..deco)rr5rdirname__file__)rrr0rr1datapathMs rz Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15i,i)hoursrCrrcCsg|]}t|qSr0rorr0r0r1rscCrw)zD Fixture for trying timezones including default (None): {0} rxrzr0r0r1tz_naive_fixturerrcCrw)z4 Fixture for trying explicit timezones: {0} rxrzr0r0r1tz_aware_fixturerrrz dateutil/UTCcCrw)zQ Fixture to provide variants of UTC timezone strings and tzinfo objects. rxrzr0r0r1 utc_fixturer}r)rnmsusnscCrw)z& datetime64 units we support. rxrzr0r0r1ror}rocCrw)zR Parametrized fixture for string dtypes. * str * 'str' * 'U' rxrzr0r0r1 string_dtype rpythonpyarrow)string=string[python]string=string[pyarrow]string=str[pyarrow]string=str[python]cCs|j\}}t||S)z Parametrized fixture for string dtypes. * 'string[python]' (NA variant) * 'string[pyarrow]' (NA variant) * 'str' (NaN variant, with pyarrow) * 'str' (NaN variant, without pyarrow) )ryrc StringDtyper{storagena_valuer0r0r1string_dtype_no_objects  rcCrw)za Parametrized fixture for string dtypes. * 'string[python]' * 'string[pyarrow]' rxrzr0r0r1nullable_string_dtype rcCs tj|jS)zq Parametrized fixture for string dtypes backed by Pyarrow. * 'str[pyarrow]' * 'string[pyarrow]' )rcrryrzr0r0r1pyarrow_string_dtypes rcCrwzb Parametrized fixture for pd.options.mode.string_storage. * 'python' * 'pyarrow' rxrzr0r0r1string_storage rrcCrw)z Parametrized fixture for StringDtype storage and na_value. * 'python' + pd.NA * 'pyarrow' + pd.NA * 'pyarrow' + np.nan rxrzr0r0r1string_dtype_argumentssrnumpy_nullablecCrwrrxrzr0r0r1 dtype_backend5rrcCrw)zK Parametrized fixture for bytes dtypes. * bytes * 'bytes' rxrzr0r0r1 bytes_dtypeJrcCrw)zN Parametrized fixture for object dtypes. * object * 'object' rxrzr0r0r1 object_dtypeUrr)z string=objectrrrrcCs*t|jtjr |jS|j\}}t||S)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) )r:ryrbrrcrrr0r0r1any_string_dtype`s  rcCrw)z\ Parametrized fixture for datetime64 dtypes. * 'datetime64[ns]' * 'M8[ns]' rxrzr0r0r1datetime64_dtyperrcCrw)z^ Parametrized fixture for timedelta64 dtypes. * 'timedelta64[ns]' * 'm8[ns]' rxrzr0r0r1timedelta64_dtyperrrc CstddddddddS)z- Fixture emits fixed Timestamp.now() irZr[r )rr^rhourminuter microsecond)rr0r0r0r1 fixed_now_tssrcCrw)z^ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' rxrzr0r0r1float_numpy_dtyperrcCrw)zR Parameterized fixture for float dtypes. * 'Float32' * 'Float64' rxrzr0r0r1float_ea_dtyperrcCrw)z~ Parameterized fixture for float dtypes. * float * 'float32' * 'float64' * 'Float32' * 'Float64' rxrzr0r0r1any_float_dtyperrcCrw)zg Parameterized fixture for complex dtypes. * complex * 'complex64' * 'complex128' rxrzr0r0r1 complex_dtyperrcCrw)z Parameterized fixture for complex and numpy float dtypes. * complex * 'complex64' * 'complex128' * float * 'float32' * 'float64' rxrzr0r0r1complex_or_float_dtypes rcCrw)z| Parameterized fixture for signed integer dtypes. * int * 'int8' * 'int16' * 'int32' * 'int64' rxrzr0r0r1any_signed_int_numpy_dtyperrcCrw)zx Parameterized fixture for unsigned integer dtypes. * 'uint8' * 'uint16' * 'uint32' * 'uint64' rxrzr0r0r1any_unsigned_int_numpy_dtyperrcCrw)z Parameterized fixture for any integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' rxrzr0r0r1any_int_numpy_dtyperrcCrw)z Parameterized fixture for any nullable integer dtype. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' rxrzr0r0r1any_int_ea_dtyperrrcCrw)a. Parameterized fixture for any nullable integer dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' rxrzr0r0r1 any_int_dtype srcCrw)z Parameterized fixture for any nullable integer dtype and any float ea dtypes. * 'UInt8' * 'Int8' * 'UInt16' * 'Int16' * 'UInt32' * 'Int32' * 'UInt64' * 'Int64' * 'Float32' * 'Float64' rxrzr0r0r1any_numeric_ea_dtype:srcCrw)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]' rxrzr0r0r1any_numeric_ea_and_arrow_dtypePs rcCrw)z~ Parameterized fixture for any signed nullable integer dtype. * 'Int8' * 'Int16' * 'Int32' * 'Int64' rxrzr0r0r1any_signed_int_ea_dtypesrrcCrw)z Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' rxrzr0r0r1any_real_numpy_dtypesrcCrw)a  Parameterized fixture for any (purely) real numeric dtype. * int * 'int8' * 'uint8' * 'int16' * 'uint16' * 'int32' * 'uint32' * 'int64' * 'uint64' * float * 'float32' * 'float64' and associated ea dtypes. rxrzr0r0r1any_real_numeric_dtypesrcCrw)a 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' rxrzr0r0r1any_numpy_dtyperurcCrw)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]' rxrzr0r0r1any_real_nullable_dtypesrcCrw)a 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' rxrzr0r0r1any_numeric_dtypesrrcmixedbytesacz mixed-integerrg@floatingg?integerzmixed-integer-floatdecimal datetime64z 2013-01-01z 2018-01-01r20180101riicomplexy??y@@rcCs |j\}}tj|td}||fS)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)ryrbrr )r{inferred_dtyperDr0r0r1any_skipna_inferred_dtype2s )rcCs>tjdddddlm}ddlm}|}d|j_||dS) zj Get an instance of IPython.InteractiveShell. Will raise a skip if IPython is not installed. IPythonz6.0.0) minversionr)InteractiveShell)Configz:memory:)rN)r; importorskipIPython.core.interactiveshellrtraitlets.configrHistoryManager hist_file)rrrr0r0r1ipes    r)bsrcoocsccsrdiadoklilcCstd}t||jdS)z- Yields scipy sparse matrix classes. z scipy.sparse_matrix)r;rgetattrry)r{sparser0r0r1spmatrixxs rcCs6g|]}tttj|tjjr|dkrttj|qS)Tick) issubclassrrcoffsetsr)ror0r0r1rs cCrw)zN Fixture for Tick based datetime offsets available for a time series. rxrzr0r0r1 tick_classesrr cCs|Srr0rqr0r0r1rsscCrw)zk Simple fixture for testing keys in sorting methods. Tests None (no key) and the identity key. rxrzr0r0r1 sort_by_keyrr )rNN)EgonVenkmanN)NCC1701Drr#tuple[Hashable, Hashable, Hashable]cCrw)zP A 3-tuple of names, the first two for operands, the last for a result. rxrzr0r0r1rsrcCrw)zI Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__ rxrzr0r0r1 indexer_slir}rcCrw)z< Parametrize over loc.__getitem__, iloc.__getitem__ rxrzr0r0r1 indexer_lir}rcCrw)z8 Parametrize over __setitem__, iloc.__setitem__ rxrzr0r0r1 indexer_sir}rcCrw)z7 Parametrize over __setitem__, loc.__setitem__ rxrzr0r0r1 indexer_slr}rcCrw)z: Parametrize over at.__setitem__, loc.__setitem__ rxrzr0r0r1 indexer_alr}rcCrw)z< Parametrize over iat.__setitem__, iloc.__setitem__ rxrzr0r0r1 indexer_ialr}rboolcCstddddkS)z> Fixture to check if the array manager is being used. mode.data_managerTsilentrrr0r0r0r1using_array_managerrjrcCstjjjduotddddkS)z7 Fixture to check if Copy-on-Write is enabled. Trrblockrcoptionsmode copy_on_writerr0r0r0r1using_copy_on_writer cCstjjjdkotddddkS)z? Fixture to check if Copy-on-Write is in warning mode. warnrTrrrr0r0r0r1warn_copy_on_writer!r#cCstjjjduS)z= Fixture to check if infer string option is enabled. T)rcrfuture infer_stringr0r0r0r1using_infer_stringsr&z Europe/Warsawzdateutil/Europe/WarsawcCrw)zE tzinfo for Europe/Warsaw using pytz, dateutil, or zoneinfo. rxrzr0r0r1warsawr}r'cCsdS)N)r pyarrow_numpyr0r0r0r0r1arrow_string_storagesr)r)r3r4r5r6r7r6r(r))r(r)r(r)r(r#)r(r)r(r)rr6r(r)r(r)r(r)r(r)r(r6(?__doc__ __future__r collectionsrrrrrrrr operatorrtypingr r dateutil.tzr r hypothesisrstnumpyrbr;pytzrrpandas._config.configrpandas.util._test_decoratorsutil_test_decoratorstdpandas.core.dtypes.dtypesrrpandasrcrrrrrrrrrrrr pandas._testing_testingtm pandas.corer!pandas.core.indexes.apir"r#pandas.util.versionr$collections.abcr%r&rpa ImportError has_pyarrowzoneinfoZoneInfoZoneInfoNotFoundErrorr2r>rQ HealthChecktoo_slowhypothesis_health_checks __version__appenddiffering_executorssettingsregister_profiletuple load_profilesplitr8rtseriesrclsregister_type_strategybuildsintegersbooleansfixturererir| axis_framer~rrrrrrrry skip_if_norrrrr NULL_OBJECTSrnulls_fixture2nanNaTrunique_nulls_fixture2NP_NAT_OBJECTSrnp_nat_fixture2rrindex_or_series2rrrbox_with_array2rrrrrrr rr rMrr from_breakslinspacerFrrr8idxkeysrkindex_fixture2rMr= index_flat2rIrNrUrWrZ_seriesr_NARROW_NP_DTYPES_narrow_seriesrcrdPYTHON_DATA_TYPES_typ_objects_seriesrerfrirjrlrqarithmetic_dunder_methodsrsaddraddsubrsubmulrmultruedivrtruedivfloordiv rfloordivmodrmodpowrpoweqneltlegtgeand_rand_xorrxoror_ror_rtrv_all_numeric_reductionsr_all_boolean_reductionsr_all_reductionsrrrr_all_numeric_accumulationsrrr TIMEZONESextend TIMEZONE_IDSparametrize_fixture_docr6rrtz_aware_fixture2_UTCSr utc_fixture2rounit2 STRING_DTYPESrNArrrrrrstring_storage2string_dtype_arguments2 BYTES_DTYPESr OBJECT_DTYPESrrrDATETIME64_DTYPESrTIMEDELTA64_DTYPESrrFLOAT_NUMPY_DTYPESrFLOAT_EA_DTYPESrALL_FLOAT_DTYPESrCOMPLEX_DTYPESrCOMPLEX_FLOAT_DTYPESrSIGNED_INT_NUMPY_DTYPESrUNSIGNED_INT_NUMPY_DTYPESrALL_INT_NUMPY_DTYPESrALL_INT_EA_DTYPESrALL_INT_DTYPESrrALL_INT_PYARROW_DTYPES_STR_REPRFLOAT_PYARROW_DTYPES_STR_REPRrSIGNED_INT_EA_DTYPESrALL_REAL_NUMPY_DTYPESrALL_REAL_DTYPESrALL_NUMPY_DTYPESrALL_REAL_NULLABLE_DTYPESrALL_NUMERIC_DTYPESrr_any_skipna_inferred_dtyperv_rrr__all__r r rsetitemlocilocrrrratriatrrr r#r&warsawsr'r)r0r0r0r1s     8        <                                           !"#$%)                        %                              $#$$2