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m Z ddl Z ddl Z ddlmZmZ ddlmZmZ ddlZdd lmZ ddlZddlZdd
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« Z ej¾ e6j$ e6j z ¬6« d « Z ej¾ e6j$ e6j z e6j. z e6j0 z ¬6« d « Z ej¾ e6j4 ¬6« d « Z ej¾ e6j8 ¬6« d « Z ej¾ e6j< ¬6« d « Z ej¾ e6j@ ¬6« d « Z! ej¾ e6jD ¬6« d « Z# ej¾ e6jH ¬6« d « Z%did¯ejì dgfdid¯e'jÜ dgfdd¯e'jî dgfddejì dgfdejì ejì ejì gfdg fdd¯ejì dgfdd¯ejì dgfdd ejì dgfd d#ejì dgfd d#ejì dgfd e d#« ejì e d« gfddejì dgfdde'jÜ dgfd ejL d!« ejì ejL d"« gfdj e0d#« ejì e0d$« gfd% ed&d#d#« ejì ed'd#d#« gfd(d)ejì d*gfds ed#« ejì ed« gfd+ ed#« ejì ed« gfdp e,d&« e'jî e,d'« gfd e*dd#« ejì e*dd« gfgZ' ee' \ Z(Z) ej¾ e'e(¬0« d, « Z*ej¾ d- « Z+ ej¾ g d.¢¬6« d/ « Z, ej¾ e'j² jZ D cg c]K } e. eWe'j² |« e'j² j^ « r|d0k7 r eWe'j² |« M c}¬6« d1 « Z0 ej¾ dd2 g¬6« d3 « Z1 ej¾ d4d5d6ejì ejì ejì fejì e'jî dfejì e'jÜ dfe'jÜ e'jÜ e'jÜ fg¬6« dOd7« Z2 ej¾ e6jf e6jh e6jj g¬6« d8 « Z6 ej¾ e6jh e6jj g¬6« d9 « Z7 ej¾ e6jf e6jj g¬6« d: « Z8 ej¾ e6jf e6jh g¬6« d; « Z9 ej¾ e6jt e6jh g¬6« d< « Z; ej¾ e6jx e6jj g¬6« d= « Z=ej¾ dPd>« Z>ej¾ dPd?« Z?ej¾ dPd@« Z@ej¾ dPdA« ZAdBdCgZBeE#eBj eEj dB« « ej¾ eB¬6« dQdD« ZC ej¾ « dE « ZDy# eD$ r dZCY w xY w# eEj $ r dZEY
w xY wc c} w c c} w c c} w c c} w c c}}w c c}}w c c}}w c c} w c c} }w c c}w c c} w c c}w (R a
|
This file is very long and growing, but it was decided to not split it yet, as
|
it's still manageable (2020-03-17, ~1.1k LoC). 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
|
é )Ú annotations)Úabc)ÚdateÚdatetimeÚtimeÚ timedeltaÚtimezone)ÚDecimalN)Ú TYPE_CHECKINGÚCallable)ÚtzlocalÚtzutc)Ú
|
strategies)Ú FixedOffsetÚutc©Ú _get_option)ÚDatetimeTZDtypeÚ IntervalDtype) ÚCategoricalIndexÚ DataFrameÚIntervalÚ IntervalIndexÚPeriodÚ
|
RangeIndexÚSeriesÚ TimedeltaÚ TimestampÚ
|
date_rangeÚ period_rangeÚtimedelta_range)Úops)ÚIndexÚ
|
MultiIndex)ÚVersion)ÚHashableÚIteratorTFÚUTCc ó, | j ddd¬« y )Nú--no-strict-data-filesÚ store_falsez6Don't fail if a test is skipped for missing data file.)ÚactionÚhelp)Ú addoption)Úparsers úBH:\Change_password\venv_build\Lib\site-packages\pandas/conftest.pyÚpytest_addoptionr1 o s Ø
|
×ÑØ Ø Ø Eð õ ó Ústrc ó | j j |« r2| j t j j d| « « yy)a Ignore doctest warning.
|
|
Parameters
|
----------
|
item : pytest.Item
|
pytest test item.
|
path : str
|
Module path to Python object, e.g. "pandas.core.frame.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)ÚnameÚendswithÚ
|
add_markerÚpytestÚmarkÚfilterwarnings)ÚitemÚpathÚmessages r0 Úignore_doctest_warningr> w s= ð yy×Ñ$Ô Ø ×2Ñ2°W¸W¸IÐ3FÓGÕHð r2 c ó |j d« xs |j dd¬« }g d¢}|r | D ] }|D ] \ }}t |||« y y )Nz--doctest-modulesz--doctest-cythonF)Údefault))Úis_int64_dtypez is_int64_dtype is deprecated)Úis_interval_dtypez is_interval_dtype is deprecated)Úis_period_dtypez is_period_dtype is deprecated)Úis_datetime64tz_dtypez#is_datetime64tz_dtype is deprecated)Úis_categorical_dtypez"is_categorical_dtype is deprecated)Ú is_sparsezis_sparse is deprecated)úDataFrameGroupBy.fillnaz%DataFrameGroupBy.fillna is deprecated)úNDFrame.replacezThe 'method' keyword)rH z Series.replace without 'value')z NDFrame.clipz4Downcasting behavior in Series and DataFrame methods)z Series.idxminú The behavior of Series.idxmin)z Series.idxmaxú The behavior of Series.idxmax)zSeriesGroupBy.fillnaz"SeriesGroupBy.fillna is deprecated)zSeriesGroupBy.idxminrI )zSeriesGroupBy.idxmaxrJ )zmissing.mask_zero_div_zerozdivide by zero encountered)Ú to_pydatetimez>The behavior of DatetimeProperties.to_pydatetime is deprecated)z pandas.core.generic.NDFrame.boolzY(Series|DataFrame).bool is now deprecated and will be removed in future version of pandas)z!pandas.core.generic.NDFrame.firstzqfirst is deprecated and will be removed in a future version. Please create a mask and filter using `.loc` instead)zResampler.fillnaz+DatetimeIndexResampler.fillna is deprecated)rG z3DataFrameGroupBy.fillna with 'method' is deprecated)rG z,DataFrame.fillna with 'method' is deprecated)Ú read_parquetz1Passing a BlockManager to DataFrame is deprecated)Ú getoptionr> )ÚitemsÚconfigÚ
|
is_doctestÚignored_doctest_warningsr; r< r= s r0 Ú pytest_collection_modifyitemsrR sq Ø×!Ñ!Ð"5Ó6ò ¸&×:JÑ:JØ Eð ;Kó ;Jò - Ð ñ^ Øò <DØ!9ò < gÜ& t¨T°7Õ;ñ <ñ <ð r2 z6.83.2Úci)ÚdeadlineÚsuppress_health_checkz)MonthBegin MonthEnd BMonthBegin BMonthEndiÿÿÿéc )ÚnÚ normalizez%YearBegin YearEnd BYearBegin BYearEndéûÿÿÿé é é )Ú min_valueÚ max_value)rW rX Úmonthz1QuarterBegin QuarterEnd BQuarterBegin BQuarterEndièÿÿÿé )rW rX Ú startingMonth)Úautousec ó( t | d< t | d< y)z:
|
Make `np` and `pd` names available for doctests.
|
ÚnpÚpdN)rd re )Údoctest_namespaces r0 Úadd_doctest_importsrg s ô
|
!ÐdÑÜ ÐdÒr2 c ó0 t j dd« y)z<
|
Configure settings for all tests and test modules.
|
Úchained_assignmentÚraiseN)re Ú
|
set_option© r2 r0 Úconfigure_testsrm s ô
|
MMÐ&¨Õ0r2 )r r[ ÚindexÚcolumnsc ó dt | « S ©Nzaxis=©Úrepr©Úxs r0 ú<lambda>rv s À5ÌÈaËÈ ÐAR r2 )ÚparamsÚidsc ó | j S )z@
|
Fixture for returning the axis numbers of a DataFrame.
|
©Úparam©Úrequests r0 Úaxisr~ ó ð
|
==Ðr2 ro c ó dt | « S rq rr rt s r0 rv rv s °u¼TÀ!»W¸IÐ5F r2 c ó | j S )zA
|
Fixture for returning aliases of axis 1 of a DataFrame.
|
rz r| s r0 Úaxis_1r r r2 )TFN)rw c ó | j S )a
|
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).
|
rz r| s r0 Úobservedr ' ó ð ==Ðr2 c ó | j S )z6
|
Boolean 'ordered' parameter for Categorical.
|
rz r| s r0 Úorderedr 4 r r2 c ó | j S )z%
|
Boolean 'skipna' parameter.
|
rz r| s r0 Úskipnar < r r2 )ÚfirstÚlastFc ó | j S )z[
|
Valid values for the 'keep' parameter used in
|
.duplicated or .drop_duplicates
|
rz r| s r0 Úkeepr D ó ð ==Ðr2 )ÚbothÚneitherÚleftÚrightc ó | j S )zA
|
Fixture for trying all interval 'inclusive' parameters.
|
rz r| s r0 Úinclusive_endpoints_fixturer M r r2 )r r r r c ó | j S )z<
|
Fixture for trying all interval closed parameters.
|
rz r| s r0 Úclosedr U r r2 c ó | j S )zS
|
Secondary closed fixture to allow parametrizing over all pairs of closed.
|
rz r| s r0 Ú other_closedr ] r r2 ÚgzipÚbz2ÚzipÚxzÚtarÚzstdÚ zstandard)Úmarksc ó | j S )zK
|
Fixture for trying common compression types in compression tests.
|
rz r| s r0 Ú compressionr¢ e ó ð ==Ðr2 c ó | j S )zk
|
Fixture for trying common compression types in compression tests excluding
|
uncompressed case.
|
rz r| s r0 Úcompression_onlyr¥ w r£ r2 c ó | j S )z,
|
Fixture that an array is writable.
|
rz r| s r0 Úwritabler§ r r2 )ÚinnerÚouterr r c ó | j S )z:
|
Fixture for trying all types of join operations.
|
rz r| s r0 Ú join_typer« r r2 ÚnlargestÚ nsmallestc ó | j S )z1
|
Fixture for trying all nselect methods.
|
rz r| s r0 Únselect_methodr¯ r r2 c ó, t | « j S ©N©ÚtypeÚ__name__rt s r0 rv rv ¤ s ´d¸1³g×6FÑ6F r2 c ó | j S )z/
|
Fixture for each null type in pandas.
|
rz r| s r0 Ú nulls_fixturer¶ ¤ r r2 c ó | j S )zL
|
Fixture for each null type in pandas, each null type exactly once.
|
rz r| s r0 Úunique_nulls_fixturer¸ ¯ r r2 c ó, t | « j S r± r² rt s r0 rv rv » s ¼¸Q»×8HÑ8H r2 c ó | j S )z-
|
Fixture for each NaT type in numpy.
|
rz r| s r0 Únp_nat_fixturer» » r r2 c ó | j S )z;
|
Fixture to parametrize over DataFrame and Series.
|
rz r| s r0 Úframe_or_seriesr½ Ì r r2 rn Úseriesc ó | j S )zÑ
|
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
|
rz r| s r0 Úindex_or_seriesrÀ Ô r
r2 )rn r¾ Úarrayc ó | j S )zG
|
Fixture to parametrize over Index, Series, and ExtensionArray
|
rz r| s r0 Úindex_or_series_or_arrayrà å r r2 c ó | j S r± )r´ rt s r0 rv rv í s
|
È1Ï:É: r2 c ó | j S )z]
|
Fixture to test behavior for Index, Series, DataFrame, and pandas Array
|
classes
|
rz r| s r0 Úbox_with_arrayrÆ í r r2 c ó$ G d dt « } | S )z,
|
Fixture for a dictionary subclass.
|
c ó e Zd ZddZy)ú"dict_subclass.<locals>.TestSubDictc ó6 t j | g|¢i |¤ y r± )ÚdictÚ__init__)ÚselfÚargsÚkwargss r0 rÌ z+dict_subclass.<locals>.TestSubDict.__init__ s Ü MM$Ð 0 Ò 0¨Ó 0r2 N©ÚreturnÚNone)r´ Ú
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__module__Ú __qualname__rÌ rl r2 r0 Ú TestSubDictrÉ ÿ s ô 1r2 rÕ )rË )rÕ s r0 Ú dict_subclassrÖ ù s ô 1dô 1ð Ðr2 c ó8 G d dt j « } | S )z8
|
Fixture for a non-mapping dictionary subclass.
|
c ó* e Zd ZddZd ZddZddZy) ú5non_dict_mapping_subclass.<locals>.TestNonDictMappingc ó || _ y r± )Ú_data)rÍ Úunderlying_dicts r0 rÌ z>non_dict_mapping_subclass.<locals>.TestNonDictMapping.__init__ s Ø(DJr2 c ó8 | j j |« S r± )rÛ Ú __getitem__)rÍ Úkeys r0 rÞ zAnon_dict_mapping_subclass.<locals>.TestNonDictMapping.__getitem__ s Ø::×)Ñ)¨#Ó.Ð .r2 c ó6 | j j « S r± )rÛ Ú__iter__©rÍ s r0 rá z>non_dict_mapping_subclass.<locals>.TestNonDictMapping.__iter__ s Ø::×&Ñ&Ó(Ð (r2 c ó6 | j j « S r± )rÛ Ú__len__râ s r0 rä z=non_dict_mapping_subclass.<locals>.TestNonDictMapping.__len__ s Ø::×%Ñ%Ó'Ð 'r2 NrÐ )rÑ r' )rÑ Úint)r´ rÓ rÔ rÌ rÞ rá rä rl r2 r0 ÚTestNonDictMappingrÙ s ó )ò /ó )ô (r2 ræ )r ÚMapping)ræ s r0 Únon_dict_mapping_subclassrè s ô (S[[ô (ð Ð r2 c óê t t j j d« j d« t t d« « t ddd¬« ¬« } | j d d
|
d g« j « }|j j |j j D cg c] }|j d « c}« |_
|
|j j g d ¢d¬« |S c c}w )z
|
DataFrame with 3 level MultiIndex (year, month, day) covering
|
first 100 business days from 2000-01-01 with random data
|
é )éd é ÚABCDú
|
2000-01-01rë ÚB©ÚperiodsÚfreq)ro rn c ó | j S r± )Úyearrt s r0 rv zAmultiindex_year_month_day_dataframe_random_data.<locals>.<lambda>* s
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§¡ r2 c ó | j S r± )r_ rt s r0 rv zAmultiindex_year_month_day_dataframe_random_data.<locals>.<lambda>* s
|
°1·7±7 r2 c ó | j S r± )Údayrt s r0 rv zAmultiindex_year_month_day_dataframe_random_data.<locals>.<lambda>* s
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ÀaÇeÁe r2 Úi8)rô r_ r÷ T)Úinplace)r rd ÚrandomÚ default_rngÚstandard_normalr# Úlistr ÚgroupbyÚsumrn Ú
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set_levelsÚlevelsÚastypeÚ set_names)ÚtdfÚymdÚlevs r0 Ú/multiindex_year_month_day_dataframe_random_datar s¼ ô Ü
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× Ñ aÓ ×0Ñ0°Ó:Üd6lÓ#Ü ¨s¸Ô=ô Cð
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++Ñ'Ñ):¹OÐLÓ
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M×
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QÑ
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SCà ×$Ñ$À#Ç)Á)×BRÑBRÖ%S¸3 c§j¡j°Õ&6Ò%SÓTCIØII×ÑÒ0¸$ÐÔ?Ø Jùò &Ts Â+C0c ó: t g d¢g d¢gg d¢g d¢gddg¬« S )z;
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2-level MultiIndex, lexsorted, with string names.
|
©ÚfooÚbarÚbazÚqux©ÚoneÚtwoÚthree)
|
r r r r[ r[ rê rê é r r )
|
r r[ rê r r[ r[ rê r r[ rê r Úsecond)r ÚcodesÚnames)r$ rl r2 r0 Ú%lexsorted_two_level_string_multiindexr 1 s+ ô
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Ú,Ò.EÐFÚ-Ò/MÐNØÐ!ô ð r2 c ó | }t t j j d« j d« |t g d¢d¬« ¬« S )z2DataFrame with 2 level MultiIndex with random datarê )é
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r )ÚArï ÚCÚexp©r5 ©rn ro )r rd rú rû rü r# )r rn s r0 Ú multiindex_dataframe_random_datar = s@ ð
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2EÜ Ü
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× Ñ aÓ ×0Ñ0°Ó9ØÜo¨EÔ2ô ð r2 c óÀ t g d¢« } t ddg« }t j g d¢« }t j g d¢« }ddg}t | |g||g|d¬ « S )
|
zJ
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MultiIndex used to test the general functionality of this object
|
r r r )r r r[ rê r r )r r[ r r[ r r[ r r F)r r r Úverify_integrity)r# rd rÁ r$ )Ú
|
major_axisÚ
|
minor_axisÚ major_codesÚ minor_codesÚ index_namess r0 Ú_create_multiindexr& J sh ô Ò3Ó4JÜu~Ó&Jä((Ò-Ó.KÜ((Ò-Ó.KØHÐ%KÜ ØJÐ'ØKÐ(ØØ ô ð r2 c óZ t j ddgddgt ddd¬« gg d ¢¬
|
« S ) zB
|
MultiIndex with a level that is a tzaware DatetimeIndex.
|
r[ rê ÚaÚbÚ20130101r ú
|
US/Eastern©rñ Útzr )r )r$ Ú from_productr rl r2 r0 Ú _create_mi_with_dt64tz_levelr/ ^ s5 ô
|
× "Ñ "Ø
|
Q#sZ¨
|
¸AÀ,Ô OÐPÚ%ô ð r2 Úobjectrë Úpandas_©ÚdtypeÚstringr z
|
2020-01-01)rñ z datetime-tzz
|
US/Pacificr, ÚperiodÚDrð r z1 day)Ústartrñ rò ÚrangeÚint8Úint16Úint32Úint64Úuint8Úuint16Úuint32Úuint64Úfloat32Úfloat64z bool-objectú
|
bool-dtypeÚ complex64y ð?Ú
|
complex128Ú categoricalÚabcdé Úintervalée )ÚnumÚemptyÚtuples)r
|
r r )r[ rê r úmi-with-dt64tz-levelÚmultiÚrepeats)r r r[ r[ rê rê Ú nullable_intÚInt64Ú nullable_uintÚUInt16Únullable_floatÚFloat32Ú nullable_boolÚbooleanz string-pythonzstring[python]zstring[pyarrow]zstring-pyarrowc óD t | j j « S )zØ
|
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
|
- ...
|
)Ú indices_dictr{ Úcopyr| s r0 rn rn s ô Ñ &× +Ñ +Ó -Ð-r2 c óH | j }t | j « S )z8
|
index fixture, but excluding MultiIndex cases.
|
)r{ rZ r[ )r} rß s r0 Ú
|
index_flatr] ª s! ð --CÜ Ñ × !Ñ !Ó #Ð#r2 )rå ÚuintÚfloat)r8 rL rP rC c óP t | j j d¬« }|j j « }| j dv rA|j « }d|d dd z |d< d|d dd z |d< t j |« S d|d< d|d< t |« |« S ) zÙ
|
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.
|
T©Údeep)rM rN rO r± r r[ Néÿÿÿÿ)rZ r{ r[ ÚvaluesÚtolistr$ Ú from_tuplesr³ )r} ÚindÚvalss r0 Úindex_with_missingri » s« ô. w}}Ñ
|
%×
|
*Ñ
|
*°Ð
|
*Ó
|
5CØ ::??Ó DØ}}ÐCÑCàzz|ØD G A BKÑ'QØT "X a b\Ñ)RÜ×%Ñ% dÓ+Ð+àQØRØtCyÐ r2 c
|
óº t t j dt j ¬« dz t t d« D cg c] } d| c} « d¬« S c c} w )zC
|
Fixture for Series of floats with Index of unique strings
|
é r2 gñ?Úi_r¾ ©rn r5 )r rd ÚarangerB r# r8 ©Úis r0 Ú string_seriesrq ã sK ô
|
Ü
|
"BJJÔ'¨#Ñ-ܤu¨R£yÖ1 !r!XÒ1Ó2Ø ô ð ùâ1s ¿ Ac ó¼ t d« D cg c] } d| }} t t d« D cg c] } d| c} « }t ||dt ¬« S c c} w c c} w )zI
|
Fixture for Series of dtype object with Index of unique strings
|
rk Úfoo_Úbar_Úobjects©rn r5 r3 )r8 r# r r0 )rp Údatarn s r0 Ú object_seriesrx ï sY ô
|
!& b£ Ö *1d1#JÐ *DÐ *Ü ¤u¨R£yÖ1 !T!:Ò1Ó 2EÜ $e¨)¼6Ô BÐBùò +ùÚ1s
|
A® Ac ó t t j j d« j d« t ddd¬« d¬« S )z9
|
Fixture for Series of floats with DatetimeIndex
|
rê rk rî rï rð Útsrm )r rd rú rû rü r rl r2 r0 Údatetime_seriesr{ ù s= ô
|
Ü
|
× Ñ aÓ ×0Ñ0°Ó4Ü ¨r¸Ô<Ø ô ð r2 c ó t | « }t j j d« j |« }t || dd¬« S )zHelper for the _series dictrê r( F)rn r5 r[ )Úlenrd rú rû rü r )rn Úsizerw s r0 Ú_create_seriesr s; ä u:DÜ 99× Ñ Ó #× 3Ñ 3°DÓ 9DÜ $e¨#°EÔ :Ð:r2 z series-with-z-indexc ó t | « S )zE
|
Fixture for tests on series with changing types of indices.
|
)r ©rn s r0 Úseries_with_simple_indexr s ô
|
%Ó Ð r2 z-seriesrk zi-r( rv c óH t | j j d¬« S )z|
|
Fixture for tests on indexes, series and series with a narrow dtype
|
copy to avoid mutation, e.g. setting .name
|
Tra )Ú_index_or_series_objsr{ r[ r| s r0 Úindex_or_series_objr
% s! ô ! § ¡ Ñ /× 4Ñ 4¸$Ð 4Ó ?Ð?r2 c óH t | j j d¬« S )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 )Ú _index_or_series_memory_objsr{ r[ r| s r0 Úindex_or_series_memory_objr ; s! ô (¨¯ © Ñ 6× ;Ñ ;ÀÐ ;Ó FÐFr2 c
|
óØ t t j dt j ¬« t t d« D cg c] } d| c} « t t d« « ¬« S c c} w )zj
|
Fixture for DataFrame of ints with index of unique strings
|
|
Columns are ['A', 'B', 'C', 'D']
|
©rk rì r2 rk rs rí r )r rd Úonesr< r# r8 rý ro s r0 Ú int_framer H sO ô Ü
|
rxxÔ(ܬ¨r«Ö3 AtA3ZÒ3Ó4Üd6lÓ#ô ð ùâ3s ¼ A'c
|
óê t t j j d« j d« t t d« D cg c] } d| c} « t t d« « ¬« S c c} w )zm
|
Fixture for DataFrame of floats with index of unique strings
|
|
Columns are ['A', 'B', 'C', 'D'].
|
rê r rk rs rí r )r rd rú rû rü r# r8 rý ro s r0 Ú float_framer V sZ ô Ü
|
× Ñ aÓ ×0Ñ0°Ó9ܬ¨r«Ö3 AtA3ZÒ3Ó4Üd6lÓ#ô ð ùâ3s Á A0c óz t ddd« t ddd« t ddd« t ddd« t ddd« t ddd« t ddd« t ddd« t ddd« t ddd« g
|
} t t j j d« j t | « « | ¬« S )zF
|
Fixture for Series with a DatetimeIndex that has duplicates.
|
iÐ r[ rê r rì rZ r )r r rd rú rû rü r} )Údatess r0 Ú(rand_series_with_duplicate_datetimeindexr d s° ô q!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó Üq!Ó ð Eô "))×'Ñ'¨Ó*×:Ñ:¼3¸u»:ÓFÈeÔ TÐTr2 )r r r g¹?g à?z2012-01ÚM)rò z period[M]z
|
2012-02-01z period[D]z
|
2011-01-01r+ )r- Ús)Úunitr- iô )Úsecondsztimedelta64[ns]c ó | j S r± rz r| s r0 Úea_scalar_and_dtyper | ó ð ==Ðr2 c ó | j S )zD
|
Fixture for dunder names for common arithmetic operations.
|
rz r| s r0 Úall_arithmetic_operatorsr r r2 c ó | j S )zU
|
Fixture for operator and roperator arithmetic, comparison, and logical ops.
|
rz r| s r0 Úall_binary_operatorsr ó ðD ==Ðr2 c ó | j S )z¬
|
Fixture for operator and roperator arithmetic functions.
|
|
Notes
|
-----
|
This includes divmod and rdivmod, whereas all_arithmetic_operators
|
does not.
|
rz r| s r0 Úall_arithmetic_functionsr ¿ s ð6 ==Ðr2 ) Úcountrÿ ÚmaxÚminÚmeanÚprodÚstdÚvarÚmedianÚkurtÚskewÚsemc ó | j S )z.
|
Fixture for numeric reduction names.
|
rz r| s r0 Úall_numeric_reductionsr¬ í r r2 ÚallÚanyc ó | j S )z.
|
Fixture for boolean reduction names.
|
rz r| s r0 Úall_boolean_reductionsr° ø r r2 c ó | j S )z>
|
Fixture for all (boolean + numeric) reduction names.
|
rz r| s r0 Úall_reductionsr² r r2 c ó | j S )z;
|
Fixture for operator module comparison functions.
|
rz r| s r0 Ú comparison_opr´ r r2 )Ú__le__Ú__lt__Ú__ge__Ú__gt__c ó | j S )zm
|
Fixture for dunder names for compare operations except == and !=
|
|
* >=
|
* >
|
* <
|
* <=
|
rz r| s r0 Úcompare_operators_no_eq_nerº r
r2 )Ú__and__Ú__rand__Ú__or__Ú__ror__Ú__xor__Ú__rxor__c ó | j S )zY
|
Fixture for dunder names for common logical operations
|
|
* |
|
* &
|
* ^
|
rz r| s r0 Úall_logical_operatorsr ) ó ð ==Ðr2 )ÚcumsumÚcumprodÚcumminÚcummaxc ó | j S )z0
|
Fixture for numeric accumulation names
|
rz r| s r0 Úall_numeric_accumulationsrÉ : r r2 c ó$ | j d« S )zR
|
Returns the configuration for the test setting `--no-strict-data-files`.
|
r* )rM )Ú pytestconfigs r0 Ústrict_data_filesrÌ E s ð
|
× !Ñ !Ð":Ó ;Ð;r2 c ó t j j t j j t « d« fd}|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.
|
Útestsc óÚ t j j g| ¢ }t j j |« s*rt d| d« t j d| d« |S )NzCould not find file z' and --no-strict-data-files is not set.zCould not find ú.)Úosr< ÚjoinÚexistsÚ
|
ValueErrorr8 Úskip)rÎ r< Ú BASE_PATHrÌ s r0 Údecozdatapath.<locals>.decob sc ø Üww||IÐ-¨Ò-Üww~~dÔ#Ù Ü Ø*¨4¨&Ð0WÐXóð ô KK/¨$¨¨qÐ1Ô 2Ø r2 )rÑ r< rÒ ÚdirnameÚ__file__)rÌ r× rÖ s ` @r0 ÚdatapathrÚ M s2 ù ô& RWW__¬XÓ 6¸Ó@Iõð Kr2 z
|
Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15i, iÔþÿÿ)Úhoursrc r
|
r c ó | j S )zD
|
Fixture for trying timezones including default (None): {0}
|
rz r| s r0 Útz_naive_fixturerÝ r r2 c ó | j S )z4
|
Fixture for trying explicit timezones: {0}
|
rz r| s r0 Útz_aware_fixturerß r r2 r z dateutil/UTCc ó | j S )zQ
|
Fixture to provide variants of UTC timezone strings and tzinfo objects.
|
rz r| s r0 Ú utc_fixturerá « r r2 )r ÚmsÚusÚnsc ó | j S )z&
|
datetime64 units we support.
|
rz r| s r0 r r ¶ r r2 c ó | j S )zR
|
Parametrized fixture for string dtypes.
|
|
* str
|
* 'str'
|
* 'U'
|
rz r| s r0 Ú string_dtyperç Ä ó ð ==Ðr2 ÚpythonÚpyarrow)ústring=string[python]ústring=string[pyarrow]ústring=str[pyarrow]ústring=str[python]c óL | j \ }}t j ||« S )zÍ
|
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 Ú StringDtype©r} ÚstorageÚna_values r0 Ústring_dtype_no_objectrô Ð s# ð0 ÑGXÜ >>' 8Ó ,Ð,r2 c ó | j S )za
|
Parametrized fixture for string dtypes.
|
|
* 'string[python]'
|
* 'string[pyarrow]'
|
rz r| s r0 Únullable_string_dtyperö ì ó ð ==Ðr2 c ó: t j | j S )zq
|
Parametrized fixture for string dtypes backed by Pyarrow.
|
|
* 'str[pyarrow]'
|
* 'string[pyarrow]'
|
)re rð r{ r| s r0 Úpyarrow_string_dtyperù ü s ô >>7==Ð )Ð)r2 c ó | j S ©zb
|
Parametrized fixture for pd.options.mode.string_storage.
|
|
* 'python'
|
* 'pyarrow'
|
rz r| s r0 Ústring_storagerü r÷ r2 c ó | j S )z
|
Parametrized fixture for StringDtype storage and na_value.
|
|
* 'python' + pd.NA
|
* 'pyarrow' + pd.NA
|
* 'pyarrow' + np.nan
|
rz r| s r0 Ústring_dtype_argumentsrþ s ð, ==Ðr2 Únumpy_nullablec ó | j S rû rz r| s r0 Ú dtype_backendr 5 r÷ r2 c ó | j S )zK
|
Parametrized fixture for bytes dtypes.
|
|
* bytes
|
* 'bytes'
|
rz r| s r0 Ú bytes_dtyper J ó ð ==Ðr2 c ó | j S )zN
|
Parametrized fixture for object dtypes.
|
|
* object
|
* 'object'
|
rz r| s r0 Ú object_dtyper U r r2 )z string=objectrë rì rí rî c ó¬ t | j t j « r | j S | j \ }}t j
|
||« S )zÜ
|
Parametrized fixture for string dtypes.
|
* 'object'
|
* 'string[python]' (NA variant)
|
* 'string[pyarrow]' (NA variant)
|
* 'str' (NaN variant, with pyarrow)
|
* 'str' (NaN variant, without pyarrow)
|
)Ú
|
isinstancer{ rd r3 re rð rñ s r0 Úany_string_dtyper ` sA ô2 '--¤§¡Ô*Ø}}Ð ð $MMÑÜ~~g xÓ0Ð0r2 c ó | j S )z\
|
Parametrized fixture for datetime64 dtypes.
|
|
* 'datetime64[ns]'
|
* 'M8[ns]'
|
rz r| s r0 Údatetime64_dtyper r r2 c ó | j S )z^
|
Parametrized fixture for timedelta64 dtypes.
|
|
* 'timedelta64[ns]'
|
* 'm8[ns]'
|
rz r| s r0 Útimedelta64_dtyper r r2 c ó& t ddddddd¬« S )z-
|
Fixture emits fixed Timestamp.now()
|
iå r[ r\ rì é é )rô r_ r÷ ÚhourÚminuter Ú microsecond)r rl r2 r0 Ú fixed_now_tsr s ô
|
Ø ¨°1¸RÈRô ð r2 c ó | j S )z^
|
Parameterized fixture for float dtypes.
|
|
* float
|
* 'float32'
|
* 'float64'
|
rz r| s r0 Úfloat_numpy_dtyper ¢ rè r2 c ó | j S )zR
|
Parameterized fixture for float dtypes.
|
|
* 'Float32'
|
* 'Float64'
|
rz r| s r0 Úfloat_ea_dtyper ® r r2 c ó | j S )z~
|
Parameterized fixture for float dtypes.
|
|
* float
|
* 'float32'
|
* 'float64'
|
* 'Float32'
|
* 'Float64'
|
rz r| s r0 Úany_float_dtyper ¹ rà r2 c ó | j S )zg
|
Parameterized fixture for complex dtypes.
|
|
* complex
|
* 'complex64'
|
* 'complex128'
|
rz r| s r0 Ú complex_dtyper Ç rè r2 c ó | j S )z£
|
Parameterized fixture for complex and numpy float dtypes.
|
|
* complex
|
* 'complex64'
|
* 'complex128'
|
* float
|
* 'float32'
|
* 'float64'
|
rz r| s r0 Úcomplex_or_float_dtyper Ó s ð ==Ðr2 c ó | j S )z|
|
Parameterized fixture for signed integer dtypes.
|
|
* int
|
* 'int8'
|
* 'int16'
|
* 'int32'
|
* 'int64'
|
rz r| s r0 Úany_signed_int_numpy_dtyper â rà r2 c ó | j S )zx
|
Parameterized fixture for unsigned integer dtypes.
|
|
* 'uint8'
|
* 'uint16'
|
* 'uint32'
|
* 'uint64'
|
rz r| s r0 Ú any_unsigned_int_numpy_dtyper" ð r
r2 c ó | j S )z³
|
Parameterized fixture for any integer dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
rz r| s r0 Úany_int_numpy_dtyper$ ý r£ r2 c ó | j S )z²
|
Parameterized fixture for any nullable integer dtype.
|
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
rz r| s r0 Úany_int_ea_dtyper& r r2 c ó | j S )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'
|
rz r| s r0 Ú any_int_dtyper( s ð. ==Ðr2 c ó | j S )zî
|
Parameterized fixture for any nullable integer dtype and
|
any float ea dtypes.
|
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
* 'Float32'
|
* 'Float64'
|
rz r| s r0 Úany_numeric_ea_dtyper* : s ð" ==Ðr2 c ó | j S )aÚ
|
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]'
|
rz r| s r0 Ú any_numeric_ea_and_arrow_dtyper, P s ð@ ==Ðr2 c ó | j S )z~
|
Parameterized fixture for any signed nullable integer dtype.
|
|
* 'Int8'
|
* 'Int16'
|
* 'Int32'
|
* 'Int64'
|
rz r| s r0 Úany_signed_int_ea_dtyper. s r
r2 c ó | j S )zí
|
Parameterized fixture for any (purely) real numeric dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* float
|
* 'float32'
|
* 'float64'
|
rz r| s r0 Úany_real_numpy_dtyper0 s ð$ ==Ðr2 c ó | j S )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.
|
rz r| s r0 Úany_real_numeric_dtyper2 s ð( ==Ðr2 c ó | j S )aÌ
|
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'
|
rz r| s r0 Úany_numpy_dtyper4 ¬ r r2 c ó | j S )aí
|
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]'
|
rz r| s r0 Úany_real_nullable_dtyper6 Ñ s ð: ==Ðr2 c ó | j S )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'
|
rz r| s r0 Úany_numeric_dtyper8 ñ s ð> ==Ðr2 ÚcÚmixedÚbytesó aó cz mixed-integerrê g @Úfloatingg ð?Úintegerzmixed-integer-floatÚdecimalÚ
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datetime64z
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2013-01-01z
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2018-01-01r* Ú20180101r iÝ iâ Úcomplexy ð? ð?y @ @r c ó^ | j \ }}t j |t ¬« }||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
|
r2 )r{ rd rÁ r0 )r} Úinferred_dtyperd s r0 Úany_skipna_inferred_dtyperF 2 s0 ðR %]]ÑNFÜ XXf¤FÔ +Fð 6Ð !Ð!r2 c ó t j dd¬« ddlm} ddlm} |« }d|j _ | |¬« S ) zj
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Get an instance of IPython.InteractiveShell.
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|
Will raise a skip if IPython is not installed.
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ÚIPythonz6.0.0)Ú
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minversionr )ÚInteractiveShell)ÚConfigz:memory:)rO )r8 Ú importorskipÚ IPython.core.interactiveshellrJ Útraitlets.configrK ÚHistoryManagerÚ hist_file)rJ rK r9 s r0 ÚiprQ e s< ô ×Ñ ¨gÕ6Ý>õ (áAØ!+A×ÑÔ á 1Ô %Ð%r2 )ÚbsrÚcooÚcscÚcsrÚdiaÚdokÚlilc ó^ t j d« }t || j dz « S )z-
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Yields scipy sparse matrix classes.
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z scipy.sparseÚ_matrix)r8 rL Úgetattrr{ )r} Úsparses r0 Úspmatrixr] x s* ô
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× Ñ Ó 0Fä 67==¨9Ñ4Ó 5Ð5r2 ÚTickc ó | j S )zN
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Fixture for Tick based datetime offsets available for a time series.
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rz r| s r0 Ú tick_classesr` rà r2 c ó | S r± rl rt s r0 rv rv s ¨ r2 c ó | j S )zk
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Simple fixture for testing keys in sorting methods.
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Tests None (no key) and the identity key.
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rz r| s r0 Ú sort_by_keyrc r r2 )r
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NN)ÚEgonÚVenkmanN)ÚNCC1701Drf rf c ó | j S )zP
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A 3-tuple of names, the first two for operands, the last for a result.
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rz r| s r0 r r s ð ==Ðr2 c ó | j S )zI
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Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__
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rz r| s r0 Ú indexer_sliri ¬ r r2 c ó | j S )z<
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Parametrize over loc.__getitem__, iloc.__getitem__
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rz r| s r0 Ú
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indexer_lirk ´ r r2 c ó | j S )z8
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Parametrize over __setitem__, iloc.__setitem__
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rz r| s r0 Ú
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indexer_sirm ¼ r r2 c ó | j S )z7
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Parametrize over __setitem__, loc.__setitem__
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rz r| s r0 Ú
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indexer_slro Ä r r2 c ó | j S )z:
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Parametrize over at.__setitem__, loc.__setitem__
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rz r| s r0 Ú
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indexer_alrq Ì r r2 c ó | j S )z<
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Parametrize over iat.__setitem__, iloc.__setitem__
|
rz r| s r0 Ú indexer_ialrs Ô r r2 c ó" t dd¬« dk( S )z>
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Fixture to check if the array manager is being used.
|
úmode.data_managerT©ÚsilentrÁ r rl r2 r0 Úusing_array_managerrx Ü s ô
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Ð*°4Ô 8¸GÑ CÐCr2 c ór t j j j du xr t dd¬« dk( S )z7
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Fixture to check if Copy-on-Write is enabled.
|
Tru rv Úblock©re ÚoptionsÚmodeÚ copy_on_writer rl r2 r0 Úusing_copy_on_writer ä s5 ô
|
|
×%Ñ%¨Ð-ò EÜ Ð+°DÔ 9¸WÑ Dðr2 c ót t j j j dk( xr t dd¬« dk( S )z?
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Fixture to check if Copy-on-Write is in warning mode.
|
Úwarnru Trv rz r{ rl r2 r0 Úwarn_copy_on_writer ï s5 ô
|
|
×%Ñ%¨Ñ/ò EÜ Ð+°DÔ 9¸WÑ Dðr2 c óN t j j j du S )z=
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Fixture to check if infer string option is enabled.
|
T)re r| ÚfutureÚ infer_stringrl r2 r0 Úusing_infer_stringr ú s ô
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::× Ñ × )Ñ )¨TÐ 1Ð1r2 z Europe/Warsawzdateutil/Europe/Warsawc ó | j S )zE
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tzinfo for Europe/Warsaw using pytz, dateutil, or zoneinfo.
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rz r| s r0 Úwarsawr r r2 c ó y)N)rê Ú pyarrow_numpyrl rl r2 r0 Úarrow_string_storager s à 'r2 rÐ )r; z pytest.Itemr< r3 r= r3 rÑ rÒ )rÑ z
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axis_framer r r r r r r r r{ Ú
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