bio, UddlmZddlmZddlmZmZmZmZm Z m Z m Z ddl Z ddl mZmZddlmZddlmZmZmZddlmZmZdd lmZmZmZmZmZm Z m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&dd l'm(Z)m*Z+dd l,m-Z-m.Z.dd l/m0Z1dd l2m3Z3m4Z4m5Z5ddl6m7Z8ddl9m:Z;ddlZ>m?Z?ddl@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZTmUZUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\ddl]m^Z^m_Z_m`Z`maZambZbmcZcmdZdmeZeddlfmgZgmhZhmiZierddljmkZkmlZlmmZmddlnmoZoddlpmqZqmrZrmsZsddlmtZtddlumvZwmxZymzZ{m|Z}m~ZmZmZmZmZmZmZmZmZmZmZddlmZmZmZmZmZmZmZddl'mZmZddlmZddlmZmZmZmZmZmZmZmZmZmZedeZeqdZed ZGd!d"e)e_Z(Gd#d$e+eaZ*Gd%d&e;ecZ:Gd'd(e1Z0Gd)d*e8Z7e dd+Ze dd,Ze dd-Ze dd.Z dd/Ze dd0Ze dd1Ze dd2Ze dd3Ze dd4Ze dd5Ze dd6Ze dd7Ze dd8Ze dd9Ze dd:Ze dd;Ze dd<Ze dd=Ze dd>Ze dd?Ze dd@Ze ddAZe ddBZe ddCZe ddDZe ddEZe dFdG ddHZdddFdFdFddI ddJZe dKdL ddMZe dKdL ddNZe dKdL ddOZe ddPZe dKdQ ddRZe dKdQ ddSZe dKdQ ddTZe ddUZdddV ddWZ ddddFdFdFdXdI ddYZddZZdd[Zdd\Zdd]Zdd^Zddd_Zdd`ZddaZddbZddcZdddZddeZdFdf ddgZdFdf ddhZddiZddjZddkZdldFdm ddnZddoZddpZ ddqZGdrdsejZGdtdueje0ZddvZedXw ddddx ddyZedXwdddx ddzZe ddddx dd{Ze(jZd|ed}<edXw ddddx dd~ZedXwdddx ddZedXwdddx ddZedXwdddx ddZedXwdddx ddZgdZy)) annotationswraps) TYPE_CHECKINGAnyCallableFinalLiteralcastoverloadN) exceptions functions) issue_warning)ExprKindExprNodeis_expr)TypeVar assert_never) ImplementationVersiondeprecate_native_namespacegenerate_temporary_column_name inherit_docis_ordered_categoricalmaybe_align_indexmaybe_convert_dtypesmaybe_get_indexmaybe_reset_indexmaybe_set_indexvalidate_strict_and_pass_though) DataFrame LazyFrame)InvalidIntoExprErrorNarwhalsUnstableWarning)Expr)_new_series_implconcat show_versions)Schema)Series) dependenciesdtypes selectors)ArrayBinaryBoolean CategoricalDateDatetimeDecimalDurationEnumFieldFloat32Float64Int8Int16Int32Int64Int128ListObjectStringStructTimeUInt8UInt16UInt32UInt64UInt128Unknown) DataFrameTIntoDataFrameT IntoFrameIntoLazyFrameT IntoSeries IntoSeriesT LazyFrameTSeriesT)_from_native_implget_native_namespace to_py_scalar)IterableMappingSequence) ModuleType) ParamSpecSelfUnpack) ExprMetadata)AllowAnyStrictV1 AllowAnyV1AllowLazyStrictV1 AllowLazyV1AllowSeriesStrictV1 AllowSeriesV1ExcludeSeriesStrictV1ExcludeSeriesV1IntoArrowTableOnlyEagerOrInterchangeOnlyEagerOrInterchangeStrictOnlySeriesStrictV1 OnlySeriesV1PassThroughUnknownV1StrictUnknownV1)ArrowBackend EagerAllowed IntoBackend LazyAllowedPandasPolars)MultiColSelectorMultiIndexSelector)DType) FileSource IntoDTypeIntoExpr IntoSchemaNonNestedLiteral PythonLiteralSingleColSelectorSingleIndexSelector_1DArray_2DArrayT)defaultPRceZdZejZeedfd Ze dfd Z e ddd dfdZ e d dfd Z e d d fd Z ed!dZed"d Zed#d Ze d$d Ze d%d Z d&fd Zd'fd Z ddd d(fdZeddd)dZed*dZedd d+dZdd d+fdZd,fd Zd,fd Zd-dZxZS).r!cd|jtjusJt|||yN)level_versionrV1super__init__selfdfr __class__s V/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/narwhals/stable/v1/__init__.pyrzDataFrame.__init__+{{gjj((( 5)c>t|||}td|SNbackendDataFrame[Any])r from_arrowr )cls native_framerresultrs rrzDataFrame.from_arrows'#L'#B$f--rNrc@t||||}td|Sr)r from_dictr rdataschemarrrs rrzDataFrame.from_dicts)"4"A$f--rc@t||||}td|Sr)r from_dictsr rs rrzDataFrame.from_dicts)#D&'#B$f--rc@t||||}td|Srr from_numpyr rs rrzDataFrame.from_numpyrrc"tdtS)Ntype[Series[Any]])r r*rs r_serieszDataFrame._seriess'00rc"tdtS)Ntype[LazyFrame[Any]])r r"rs r _lazyframezDataFrame._lazyframes*I66rcyNritems r __getitem__zDataFrame.__getitem__WZrcyrrrs rrzDataFrame.__getitem__srcyrrrs rrzDataFrame.__getitem__src"t||Sr)rr)rrrs rrzDataFrame.__getitem__sw"4((rc"t||Sr)r get_column)rnamers rrzDataFrame.get_columnsw!$''r)sessionc8tt| ||S)N)rr) _stableifyrlazy)rrrrs rrzDataFrame.lazys %',w,HIIr. as_seriescyrrrrs rto_dictzDataFrame.to_dictsTWrcyrrrs rrzDataFrame.to_dictsMPrTcyrrrs rrzDataFrame.to_dicts9>+,,rrrr&Literal['full', 'lazy', 'interchange']returnNone)rrerIntoBackend[EagerAllowed]rrr)rMapping[str, Any]r.IntoSchema | Mapping[str, DType | None] | Noner IntoBackend[EagerAllowed] | Nonerr)rz Sequence[Any]rrrrrr)rrr3Mapping[str, DType] | Schema | Sequence[str] | Nonerrrr)rr)rr)rz-tuple[SingleIndexSelector, SingleColSelector]rr)rz2str | tuple[MultiIndexSelector, SingleColSelector]r Series[Any])rzSingleIndexSelector | MultiIndexSelector | MultiColSelector | tuple[SingleIndexSelector, MultiColSelector] | tuple[MultiIndexSelector, MultiColSelector]rrZ)ra SingleIndexSelector | SingleColSelector | MultiColSelector | MultiIndexSelector | tuple[SingleIndexSelector, SingleColSelector] | tuple[SingleIndexSelector, MultiColSelector] | tuple[MultiIndexSelector, SingleColSelector] | tuple[MultiIndexSelector, MultiColSelector]rzSeries[Any] | Self | Any)rstrrr*)rzIntoBackend[LazyAllowed] | Nonerz Any | NonerLazyFrame[Any])r Literal[True]rzdict[str, Series[Any]])rLiteral[False]rzdict[str, list[Any]])rboolrz-dict[str, Series[Any]] | dict[str, list[Any]])rrrrZ)__name__ __module__ __qualname__rrrr NwDataFramer classmethodrrrrpropertyrrr rrrrrrr __classcell__rs@rr!r!sazzH**.).7P. .. BF. 59 ..?. 2 .  ..BF..?. + .  ..GK..D. + .  ..1177ZZ F   :     ) : ) " )(48J# J0J J  J47WW PP #'< < 6<<$(4 4 643/-rr!ceZdZeed fd Zed dZd dZ d dfd Z ddZ ddfd Z dddZ ddd  dd Z xZS)r"cd|jtjusJt|||yrrrs rrzLazyFrame.__init__rrctSrr!rs r _dataframezLazyFrame._dataframe rcyrr)rmetadatas r_validate_metadatazLazyFrame._validate_metadatas rNc 8tt|dd|i|S)Nrr)rrcollect)rrkwargsrs rrzLazyFrame.collects!%'/D'DVDEErcP|jtjSrrrs rrzLazyFrame._l1_normrrc"t||S)Get the last `n` rows.)rtail)rnrs rrzLazyFrame.tailsw|ArcZ|j|jj||S)zTake every nth row in the DataFrame and return as a new DataFrame. Arguments: n: Gather every *n*-th row. offset: Starting index. roffset)_with_compliant_compliant_frame gather_everyrrrs rrzLazyFrame.gather_everys0##  ! ! . .6 . B  r)order_byct|tr|gn|}|j|jj ||S)N)rr) isinstancerrrwith_row_index)rrr order_by_s rrzLazyFrame.with_row_index*sH#-Xs";XJ ##  ! ! 0 0" 1   rrrztype[DataFrame[Any]])rr\rrr)rz+IntoBackend[Polars | Pandas | Arrow] | Nonerrrrr)rintrrZrrr rr rrZ)index)rrrzstr | Sequence[str] | NonerrZ)rrrr NwLazyFramerrrrrrrrrrrs@rr"r"s** FJFBFUXF F -  "  MQ    0J    rr"c2eZdZejZee dfd Ze d dfd Z e d dfd Z e ddZ dfd Zddddd dfd Z ddd d  dfd Zdd dfdZxZS)r*cd|jtjusJt|||yrr)rseriesrrs rrzSeries.__init__9s-'**,,, u-rNcBt|||||}td|SNrrrrrvaluesdtyperrrs rrzSeries.from_numpyCs*#D&%#IM6**rcBt|||||}td|Sr)r from_iterabler rs rrzSeries.from_iterableOs*&tVUG&LM6**rctSrrrs rrzSeries._dataframe[rrc2tt| Sr)rrto_framers rrzSeries.to_frame_s%'*,--rFsortparallelr normalizec<tt| ||||S)Nr)rr value_counts)rrrrr rs rr"zSeries.value_countsbs- G H49 !   rT) bin_countinclude_breakpointc^d}t|ttt||||S)NzZ`Series.hist` is being called from the stable API although considered an unstable feature.)binsr#r$)rr$rrhist)rr&r#r$msgrs rr'z Series.histps@ #  c23 GLYCU    r ignore_nullscHd}t|tt| |S)Nz_`Series.any_value` is being called from the stable API although considered an unstable feature.r))rr$r any_value)rr*r(rs rr,zSeries.any_values- #  c23w l ;;r)rrrrrrr) rrrr~rIntoDType | Nonerrrr) rrrz Iterable[Any]rr-rrrrr)rr) rrrrrz str | Noner rrr)r&zlist[float] | Noner# int | Noner$rrr)r*rrr{)rrrrrrrNwSeriesrrrrrrrr"r'r,rrs@rr*r*6swzzH..%K. .. #' + + + + + +  + + #' + + + + + +  + +.              $( !%#'      !    $16< #  c23  X));\ R  rr) r r r )r= bool | NonerrZ)rCrrDrrrZr) rr.rPz float | NonerQrrRr.rrZ)r*rrrZ)rrrrr4rrr?rrHrMrOrTr,rrs@rr%r%s'WW  7;J*/5 VVV  "&!&           816  rr%cXeZdZejZee d dfd ZxZ S)r)c$t||yr)rr)rrrs rrzSchema.__init__s  rr)rz8Mapping[str, DType] | Iterable[tuple[str, DType]] | Nonerr) rrrrrrrNwSchemarrrs@rr)r)s6zzHQU!N! !!rr)cyrrobjs rrrORrcyrrr]s rrrr_rcyrrr]s rrrCFrcyrrr]s rrrs%(rc2t|tr>t|jj t j |jSt|tr>t|jj t j |jSt|tr>t|jj t j |jSt|trt|jSt!|yr)rrr!r _with_versionrr_levelrr"r/r*_compliant_seriesNwExprr%_nodesrr]s rrrs #{#--;;GJJGszzZZ#{#--;;GJJGszzZZ#x c++99'**ESZZXX#vSZZ  rc yrr native_objectkwdss r from_nativern sPSrc yrrrks rrnrnsVYrc yrrrks rrnrnsQTrc yrrrks rrnrnrrc yrrrks rrnrnrc yrrrks rrnrnrsrc yrrrks rrnrnsUXrc yrrrks rrnrnrsrc yrrrks rrnrn"!$rc yrrrks rrnrn&rxrc yrrrks rrnrn*rxrc yrrrks rrnrn.rxrc yrrrks rrnrn2rc yrrrks rrnrn6r}rc yrrrks rrnrn:7:rc yrrrks rrnrn>rrc yrrrks rrnrnBrxrc yrrrks rrnrnFrxrc yrrrks rrnrnJs SVrc yrrrks rrnrnNs SVrc yrrrks rrnrnSsLOrc yrrrks rrnrnUsGJrF)eager_or_interchange_onlycyrr)rl pass_through eager_onlyr series_only allow_seriess rrnrnZs r)strictrrrrrc t|ttfr|s|St|tr|s|r|St ||d}|r"dt t |}t|t||||||tjS)aCConvert `native_object` to Narwhals Dataframe, Lazyframe, or Series. See `narwhals.from_native` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. Fpass_through_defaultz1from_native() got an unexpected keyword argument )rrrrrversion) rr!r"r*r nextiter TypeErrorrRrr) rlrrrrrrrmr(s rrnrnfs.-)Y!78-(k\2 5L A$tDzBRAUVn !";!  r.)rcyrrnarwhals_objectrs r to_nativerrcyrrrs rrrrrcyrrrs rrrrcyrrrs rrrs=@rrcyrrrrs rrrrrcyrrrs rrrrrcyrrrs rrrrrcyrrrs rrrrbr)rrcRddlm}|||d}tj||S)a#Convert Narwhals object to native one. See `narwhals.to_native` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr Frr)narwhals._utilsr nwr)rrrr s rrrs,@2 5L <<l CCrTcTt|ddfd }||S||S)a1Decorate function so it becomes dataframe-agnostic. See `narwhals.narwhalify` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. Trc<tdfd }|S)Nc |Dcgc]}t|  }}|jDcic]\}}|t|  }}}g||jDchc]}t|ddx}r|}}|j dkDr d}t | |i|} t | Scc}wcc}}wcc}w)N)rrrrr__native_namespace__z_Found multiple backends. Make sure that all dataframe/series inputs come from the same backend.r)rnitemsrgetattr__len__ ValueErrorr)argsrargrvaluevbbackendsr(rrrrfuncrrs rwrapperz.narwhalify..decorator..wrappers  !-).G +!-  D *$*<<>  D%k!-).G +!-  F 342&--/2 $:DAAAAH !A%w o%4*6*FV,? ?I  sB=C)C)rrrrrrr)rrrrrrrs` r decoratorznarwhalify..decorators) t% @% @ % @Nr)rCallable[..., Any]rrr)rrrrrrrrs ````` r narwhalifyrs8 3 4L))V | T?rc<ttjSr)rrrrrrrr  bffh rc8ttj|Sr)rrcolnamess rrrs bffen %%rc8ttj|Sr)rrexcluders rrrs bjj%( ))rc8ttj|Sr)rrnth)indicess rrr bffg& ''rc<ttjSr)rrlenrrrrrrrc@ttj||Sr)rrlit)rrs rrr!s bffUE* ++rc8ttj|Sr)rrmincolumnss rrr%rrc8ttj|Sr)rrmaxrs rrr)rrc8ttj|Sr)rrmeanrs rrr-s bggw' ((rc8ttj|Sr)rrmedianrs rrr1s bii) **rc8ttj|Sr)rrsumrs rrr5rrc8ttj|Sr)rrsum_horizontalexprss rrr9 b''/ 00rr)c>ttj|d|iSNr*)rrall_horizontalr*rs rrr= b''J\J KKrc>ttj|d|iSr)rrany_horizontalrs rrrCrrc8ttj|Sr)rrmean_horizontalrs rrrIs b((%0 11rc8ttj|Sr)rrmin_horizontalrs rrrMrrc8ttj|Sr)rrmax_horizontalrs rrrQrr separatorr*cHttj|g|||dS)Nr)rr concat_str)rrr* more_exprss rrrUs)  eYjYILY rc@ttj|g|S)zFormat expressions as a string.)rrformat)f_stringrs rrr`s bii040 11rc@ttj|g|Sr)rrcoalesce)rrs rrres bkk%5*5 66rc|jS)aLevel of support Narwhals has for current object. Arguments: obj: Dataframe or Series. Returns: This can be one of - 'full': full Narwhals API support - 'lazy': only lazy operations are supported. This excludes anything which involves iterating over rows in Python. - 'interchange': only metadata operations are supported (`df.schema`) )rfr]s r get_levelris ::rc2eZdZeddZdfd ZxZS)Whenc&||jSr) _predicate)rwhens r from_whenzWhen.from_when}s4??##rcHtjt| |Sr)Then from_thenrthenrrrs rrz When.thens~~egl5122r)rz nw_f.Whenrr)r&IntoExpr | NonNestedLiteral | _1DArrayrr)rrrrrrrrs@rrr|s$$33rrc2eZdZeddZdfd ZxZS)rc ||jSr)ri)rrs rrzThen.from_thensDKK  rc4tt| |Sr)rr otherwisers rrzThen.otherwises%'+E233r)rz nw_f.Thenrr)rrrr%)rrrrrrrrs@rrrs!!44rrcLtjtj|Sr)rrnw_fr) predicatess rrrs >>$))Z0 11r)required)rnative_namespacecJtd|}tt||||S)a=Instantiate Narwhals Series from iterable (e.g. list or array). See `narwhals.new_series` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr&)rrrrr s r new_seriesrs(.8G &tVUGL MMrcZtd|}ttj||S)aJConstruct a DataFrame from an object which supports the PyCapsule Interface. See `narwhals.from_arrow` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr r)rrr s rrrs'.8G doolGD EErcDttj|||S)a#Instantiate DataFrame from dictionary. See `narwhals.from_dict` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. r)rr rrrrr s rrrs dnnT67C DDrr rc\td|}ttj|||S)a)Construct a DataFrame from a NumPy ndarray. See `narwhals.from_numpy` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr rrs rrrs).8G doodFGD EErc \td|}ttj|fd|i|S)aRead a CSV file into a DataFrame. See `narwhals.read_csv` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr read_csvsourcerr rs rrrs/.8G dmmFFGFvF GGrc \td|}ttj|fd|i|S)aLazily read from a CSV file. See `narwhals.scan_csv` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. IntoBackend[Backend]r)r rr scan_csvrs rrrs/)73G dmmFFGFvF GGrc \td|}ttj|fd|i|S)a*Read into a DataFrame from a parquet file. See `narwhals.read_parquet` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr  read_parquetrs rrrs1.8G d''JJ6J KKrc \td|}ttj|fd|i|S)a Lazily read from a parquet file. See `narwhals.scan_parquet` for full docstring. Note that `native_namespace` is an is the same as `backend` but only accepts module types - for new code, we recommend using `backend`, as that's available beyond just `narwhals.stable.v1`. rr)r rr  scan_parquetrs rrrs1)73G d''JJ6J KKr)Ur.r/r0r1r!r2r3r4r5r6r%r7r8r9rr:r;r<r=r>r#r"r?r@r)r*rArBrCrDrErFrGrHrIrrrrrr'rr+r,r rrrrrrnrrrrSrrrrrrrrrrrrrrrrrrrrrrrr-r(rrrrTr)r^zNwDataFrame[IntoDataFrameT]rDataFrame[IntoDataFrameT])r^zNwLazyFrame[IntoLazyFrameT]rLazyFrame[IntoLazyFrameT])r^zNwSeries[IntoSeriesT]rSeries[IntoSeriesT])r^rhrr%)r^zZNwDataFrame[IntoDataFrameT] | NwLazyFrame[IntoLazyFrameT] | NwSeries[IntoSeriesT] | NwExprrzRDataFrame[IntoDataFrameT] | LazyFrame[IntoLazyFrameT] | Series[IntoSeriesT] | Expr)rlrQrmUnpack[OnlySeries]rrQ)rlrQrmUnpack[OnlySeriesStrict]rrQ)rlrQrmUnpack[AllowSeries]rrQ)rlrQrmUnpack[AllowSeriesStrict]rrQ)rlrJrmUnpack[ExcludeSeries]rrJ)rlrJrmUnpack[ExcludeSeriesStrict]rrJ)rlrPrmUnpack[AllowLazy]rrP)rlrPrmUnpack[AllowLazyStrict]rrP)rlrKrmzUnpack[OnlyEagerOrInterchange]rr)rlrKrmz$Unpack[OnlyEagerOrInterchangeStrict]rr)rlrKrmr%rr)rlrKrmr&rr)rlrOrmr!rr )rlrOrmr"rr )rlIntoDataFrameT | IntoSeriesTrmr#r/DataFrame[IntoDataFrameT] | Series[IntoSeriesT])rlr)rmr$rr*)rlrMrmr'rr)rlrMrmr(rr)rl-IntoDataFrameT | IntoLazyFrameT | IntoSeriesTrmzUnpack[AllowAny]rKDataFrame[IntoDataFrameT] | LazyFrame[IntoLazyFrameT] | Series[IntoSeriesT])rlr+rmzUnpack[AllowAnyStrict]rr,)rlrrmzUnpack[PassThroughUnknown]rr)rlrrmzUnpack[StrictUnknown]rr)rlrrrrrrrrrrrXrr)rlzJIntoDataFrameT | IntoLazyFrameT | IntoFrame | IntoSeriesT | IntoSeries | TrrXrrXrrrrrrrrXrmrrzOLazyFrame[IntoLazyFrameT] | DataFrame[IntoDataFrameT] | Series[IntoSeriesT] | T)rrrrrrK)rrrrrrM)rr rrrrO)rrrrrr)rrrrrrK)rrrrrrM)rr rrrrO)rrrrrr)rr,rrXrrXrz3IntoLazyFrameT | IntoDataFrameT | IntoSeriesT | Anyr)rzCallable[..., Any] | NonerrXrrXrrrrrrrrXrr)rr%)rzstr | Iterable[str]rr%)rzint | Sequence[int]rr%)rrzrr-rr%)rrrr%)rIntoExpr | Iterable[IntoExpr]rr%)rr-r*rrr%) rr-rrxrrr*rrr%)rrrrxrr%)rr-rrxrr%)r^z5DataFrame[Any] | LazyFrame[Any] | Series[IntoSeriesT]rr)r r-rr) rrrrrr-rrr ModuleType | Nonerr)rrerrr r.rr) rrrz#Mapping[str, DType] | Schema | Nonerrr r.rr) rrrrrrr r.rr) rrvrrr r.rrrr) rrvrzIntoBackend[Backend] | Noner r.rrrr) __future__r functoolsrtypingrrrr r r r narwhalsrr rr narwhals._exceptionsrnarwhals._expression_parsingrrrnarwhals._typing_compatrrrrrrrrrrrrrrr narwhals.dataframer!rr"rnarwhals.exceptionsr#r$ narwhals.exprr%rhnarwhals.functionsr&r'r(narwhals.schemar)r[narwhals.seriesr*r/narwhals.stable.v1r+r,r-narwhals.stable.v1.dtypesr.r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=r>r?r@rArBrCrDrErFrGrHrInarwhals.stable.v1.typingrJrKrLrMrNrOrPrQnarwhals.translaterRrSrTcollections.abcrUrVrWtypesrXtyping_extensionsrYrZr[r\narwhals._translater]AllowAnyStrictr^AllowAnyr_AllowLazyStrictr` AllowLazyraAllowSeriesStrictrb AllowSeriesrcExcludeSeriesStrictrd ExcludeSeriesrerfrgrhOnlySeriesStrictri OnlySeriesrjPassThroughUnknownrk StrictUnknownnarwhals._typingrlrmrnrorprqrrrsrtnarwhals.dtypesrunarwhals.typingrvrwrxryrzr{r|r}r~rrrrrrnrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr__annotations__rrrrr__all__rrrrUs "OOO2.DD9    RM(FF..>><   UT;; 999"H%    S!A#A AA- N+A-H/ N+/ dR  $!$+I$$ $ $!$+O$$ $ $!$+@$$ $ $!$+F$$ $ (:  (@  :/:9L:4: : :/:9R:4: : $!$+<$$ $ $!$+B$$ $ V@VJZVPV V V@V "VQV V O O J J ',   $     & $&+ $++ +++ $+++ +U+\ KN.;H  KN.;H  EH(5B  @ @ RU.AO  RU.AO  LO(;I  F F $ DD  D  D9D.'+B $&+ $B #B B B  B $ BBBBJ &*( ,(()+(1 AFL )L9=L LAFL )L9=L L 211  (   2 7 >+&349934499d42T*#N 15*. N N N N . N ( NN+N$T*15*. F  F. F( F  F+ F 37 E15*. E  E / E. E ( E  E E (( E(T*CGF15*. F F ?F. F ( F  F+F"T*15*. H H.H( H  H  H+H"T*,0*. H H)H( H  H  H+H"T*15*. L L.L( L  L  L+L"T*,0*. L L)L( L  L  L+L"V r