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#version: 0.2 - Trained by `huggingface/tokenizers` Ġ Ġ ĠĠ ĠĠ ĠĠ Ġ Ċ ĠĠĠĠ ĊĠĠĠĠ ĠĠĠ i n ĠĠĠĠ ĠĠĠĠ o n s e Ġ t r e a t e r o r a r - - a l Ġ i s t d e Ġ a h e l e a m ĠĠĠĠ ĠĠĠ Ġ = Ċ ĠĠĠ t i " " Ġ f Ġ n Ġ c ĊĠĠĠĠ ĠĠĠĠĠĠĠ Ġ s e n Ġt he Ġ in e s Ġ o ĊĠĠĠĠ ĠĠĠĠĠĠĠĠ Ġ re a n Ġ p l f se lf > > u r in g -- -- r o p e Ġ d Ġ m Ġ b Ġ e e d c t ur n p ar t urn t h l i Ġi s ti on Ġ w u m am e c e ) : a s u l Ġi f o l "" " on e v al u n Ċ ĊĠĠĠĠĠĠĠ de f r a Ġ """ Ġt o Ġre turn . _ u e y pe t e Ġo f N one Ġ self Ġ : l o g e at a Ġ # at e ( ) Ġa n ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ Ġ ( Ġ >> Ġ>> > Ġf or t er v e i s o t i on r i u t Ġ st Ġ 1 k e Ġ T de x ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ u p ul t Ġ ' Ġ [ ) ) m a f i Ġ " m e Ġ ` Ġ None Ġb e Ġ se i c a b un c Ġ val o de v er x t Ġ or . . m p t o Ġt h a d Ġn ot par k Ġan d Ġ S ' , Ċ ĊĠĠĠ Ġ R t s Ġw i o w par am a c Ġ u Ġ _ Ġ 2 or t i d b j Ġ 0 ) , u es Ġ I ---- ---- e l al l ( " a p i z tion s Ġ le ) . c ol Ġ l um n o p Ġa s am p Ġ g at ion ro m t ype ra y a v ĠĠĠĠ Ġ ke y i g ge t r ing Ġ def n ame Ġc on Ġ h d i en d a ult Ġe x an d P ar Ġs c r or at h en t as s Ġ + Ġu se q u s c an ce m at Ġ D Ġ C re s Ġd ata ode l Ġn e te xt av a Ġ r d f ar ray th er c on r ame li st c l s ion Ġf i ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ c h Ġn um Ġf rom ol umn d d Ġ j st ance Ġp ar l l Ġwi th i t ar g r ror E rror T ype i se p ut ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ c o e ct l se o in Ġ * Ġe lse ` ` l y ] , Ġ A ata F 0 0 Ġ .. ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ` ` ro up ( ' in dex ataF rame Ġc o Ġre s s park amp le r ue k en Ġval ue Ġn ame ro w a y D D Ġo bj " , c k le ct se t ab le Ġ - f or I n t r Ġf unc in d s i ] ) Ġle n Ġ ra a ge he ma Ġ= = ( [ Ġ 3 ar t in stance re d Ġres ult a x Ġra ise Ġd f Ġval ues Ġis instance Ġi t Ġ lo Ġth is ti me _ _ ' ) ve l c i Ġdef ault o d Ġm e Ġ list Ġ % V al ĊĠĠĠĠ ĠĠĠĠĠ ĠI f Ġ de i me re am iz e d ata al se Ġst ring C on a se " ) Ġ key a ce t a Ġ F Ġ x ti tions ig h i st Ġne w Ġ P Ġs h cl ass o c 0 1 Ġse t f unc Ġw e ce p : ` Ġ on e turn Ġa re n t p y Ġin dex val ues arg s Ġ N Ġc olumn or d s q Ġo p Ġth at o bj p ath Ġ al Ġ.. . u b ĠR DD Ġwi ll Val ue ab el m s Ġc l ĠT he Ġ X am es Ġt ype lo w as k S t re ate ĠR eturn sq l ĠĠĠĠ ĠĠ Ġp ro Ġb y el d and as in e t y Ġ k D ataFrame er i c es Ġ E at or an s u st Par titions ap p j ava ul d a ve f f Ġd i in t d ate g er Ġi mp pe ci ĠT rue ac h ken s o re Ġ { Ġn p Ġt ime m ent ĠI n e p th on ra in b er o m Ġw h col lect ti tion i l Ċ ĊĠĠĠĠĠĠĠĠĠĠĠ Con text R ow g th ar y In dex Ġ | Ġfunc tion p ro Ġ v a st Ġ M Ġ array al iz se r fi le al le Ġc an Ġm odel Ġ all Ġp re at ed -- - Ġo ther o uld st r o s u ct ĠS park se d Ġuse d g roup le n Ġn o Ġobj ect Ġp ath li f ul l a pe ma p Ġfi le ind ow Ġ < s ing s h Ġw he def ault p re Ġ y e x Ġt r Ġe lif Ġs peci Ġimp ort r dd Ġ en i le u re st art op y ter s = ' de d val ue Ġ L Ġ ver Ġe ach f t i as Ġ W Ġ Value at es ti ve Ġ un i v ver t Ġin put an ge n e v m Ġsc hema ĠValue Error d type y thon p es Ġ 5 he ck ._ _ ĠT h l ace at ch Ġs ort en ts ) ] Ġm ax w args () ) up le ĠD ataFrame p li Ġd type Ġb o li ke ul ti Ġg roup di ct Ġex cep for mat 6 4 Ġd o B y Ġs o ct or s on Ġc ol igh t f o i m Ġ get Ġ > Ġ -------- Ġm in Ġsh ould w e Ġo ut n um j vm Ġ at ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ q ue am b Ġ he Ġ row th od d a m in app end ac k for m = = i te qu en i th Ġc h Ġst r amb da i ve up p d ing Ġs park Ġin t fi ed Ġl abel Ġr dd ĠTh is M odel c ord Ġ J Ġa x lo at lo ck ' : re nt li m id s alle li : : Ġ G Ġ end Ġn ames Ġh as ĠReturn s o si un t ri x Ġst art Ġco mp col umn li ce c reate s o Ġ B Ġ Par Ġp y aliz er o ut st ring ĠT ype g h oin t ĊĠĠĠĠ ĠĠ F alse e at Ġ 4 Ġ* * Ġcl s St ream d er e xt ame ters ar n ic h ĠE x at tr ĠF alse c al and om F unc c tion Ġnum ber Ġtr y r st st amp e st j oin o ther V ect -------- -------- `` . ample s Vect or ac he N ame Ġc all ri te m odel Ġ U res sion Ġspeci fied d ay se ri re turn () , ic k re ad Ġfor mat Ġle vel Ġe le i r to kens index er p lace le d ta in Ġwh ich ĠSpark Context iv en Ġexcep t lim it Ġi ter li b T rue Ġme thod ĠType Error f y k wargs m b le vel Ġm ust un d Ġse ed 2 01 lo g F ile Ġin ter ĠC olumn Ġ one se lect fi g ĠIn dex ` . z e val id Ġlo g R DD at rix Ġi d ve ctor Ġh ave ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ osi tion ra p --- + upp ort f rom m ask en er p er t rain Ġ qu ax is re g Ġg iven sc hema " . er s alleli ze g or i ti ' ] o u u ce in fo par se s um Ġa c Ġin to ma x ma ge Ġnum Partitions Ġpar tition l ambda Ġa p ic es ĠR ow con text o b re q par allelize ation s r ray Ġ ---- Ġd ate )) . Ġcon tain Ġax is l abel Ġj ava ty pes t ri Ġ O Ġc heck Ġpar am Ġcolumn s [ ' igh ts ( _ Ġto kens Ġwhe n Ġi te Ġin d ĠPar ameters gh t b u i p c ode Ġ[ ' all y Ġ H Ġp a Ġm ask Ġan y Ġ[ ] Ġop tion Ġ-------- -- Ġout put p andas Ġ arg Ġt uple st e Ġd oc Ġb ase Ġver sion pli t u res Ġs ub ac tive ig n m ents fi x n a u le Ġb ut j son in al Ġp d Ġex p res ult b o f er st ream Ġc opy ur rent te ger s ize w rite ' s g g s s ro p Ġfi rst a ke b y d oc Ġ ar ate gor ri ght Ġu sing Ġon ly Ġpy spark C ol Ġuse s tr uct Ġ{ } arn ing e y co unt ite ms v i Ġf loat ur ation or y or age as sed Ġno te ( ): i fi u df er y Ġor der di m s ort de n ĠS e Ġdi ct create DataFrame eat ures i eld n ot z er al ias Ġw indow Ġlen gth A rray a ct n p r ange Ġn on Ġs ame Ġp andas Ġb atch func tions Ġal low Ġcl ass eri es s ub er ror () . K ey Ġ . Ġs ing Ġcon t L e i ter j df ar get Ġst ate Ġth an len gth Ġsort ed - + O N c opy m ory on g at ive Ġn ull Ġp assed li c qu i ĠF or sh ape Ġ---- --- i que m al ct x Ġl ine co mp F or b le m o n ames Ġ \ Ġre cord di r quen ce ĠJ ava ' t D F n ull w ay Ġ up Ġc or Ġto ken ter n t ed fi eld seri alizer A R ] . g n Ġ vector -- + Ġthe n ic al Ġor ig ces s ! = ) ): R e e mp z one Ġ != Ġe xt lo ad Ġ( ' Ġex ample Ġfi eld red ic ans form ick le Ġsing le . , o te or g Ġreturn s id x Ġcon vert ĠP ython date time ser t w ith in put ---- + Ġm ulti Ġg ener eri od 1 0 m l p oint se nt Ġ+ = d array in es Ġt ext re place ĠD Stream ne w Ġarg um A lice M atrix S c p osition s ure pe d col s con vert 00 0 == == Ġele ments iti al C l a u f e o le Ċ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ se q er ic ar row ĠS t Par am ĠN um Ġch ar j rdd ar i ol d ri p cl s ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ cep tion im um " : ] )) o li o ff s ample Ġ limit Ġse ri to ken od ule Ġrow s Ġlog ger oli day y pes in ed ĠĠĠĠĠĠĠĠ ĠĠ Ġb lock ad d Ġr ange Ġtime stamp M ap j c l ta o f Ġuse r ulti Index For mat ` , t uple u te z ip ar d we ight Ġlabel s S E e c i fy r int ab e m ary Ġt able Ġt rain Ġs upport ver sion ĠC on cl u c s c he ---- -+ Ġl ast Ġdata set abe led " ). v ed er ge Ġre g Ġm ap Ġ1 0 )) ) Ġas sert key s Ġcon fig end ing py spark Ġid x ' ]) u c Ġ 6 Ġc reate Ġc urrent Ġin stance Ġo ver Ġp oin val u te mp Ġex ist label s truct Type c ation re n at i am ed en sion an el Ġd rop par tition Ġst ream op tion Ġne ed obj ect 201 8 Le vel T ime a N b s w indow Ġ @ Ġs y Ġo s ap ache Ġr andom `` , Ġindex er str uct Ġext ra Sc hema o g p le t able w o Ġp er co ding Ġtime zone train ed b ase w ise an y Ġreturn ed ate way Ġ> = ' ), ' ). S es b in b ack l ing n s o se t z Ġt ypes Ġs ize Ġval id Ġle ft ') ] orage Level ifi er Ses sion D uration s p se s Ġt arget Ġi gn Ġc ase ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ con f Ġdo es gg reg zer o b ias e t m m re e ar s Ġf req Ġre pre res h ĠM ultiIndex Ġiter ator Ġoption al 1 9 d t or ch an g ma ke ĠD ate St ring Ġbo ol que t ' ], a k a re a il r up Ġ / Ġc ode Ġs ample ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ Ġpa ir abeled P D e J ava Ġt wo le ft ur ce Ġm at ver ter mp ty Ġ+ ---+ red uce Ġsh ape Ġop er Q L c at c all ct est lo cal Ġpar titions it y Ġlo cal ĠW he Ġdo ctest Ġite m o und r y ĠĠĠĠĠĠĠĠ Ġ re ct Ġa v Ġc lo Ġre d Ġp rint eat ure Ġchar act a g f loat Ġ right Ġp ass Ġm ode Ġe mpty Ġse ts ad o Ġme an ist er ist ic ĠW e By Key ( ( [ : c or c ated p r Ġt er Ġi mage Ġa d Ġa dd ti l Ġs ave Ġm ay Ġb in ĠS eries Ġlo ad ste ad abeledP oint I N R E s plit w rap ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ Ġh ow Ġco unt ĠN aN os si Ġcol s read y mb ed ategor ical eriod s Ġrepre sent C olumn c ending f ore f req de lta Ġre qui pe ct Ġwe ights Ġk wargs Ġbase string Ġmulti ple Cl ass ( * ) ], h as j or s ave in ter Ġre ad ol low Ġ( " con fig Ġver ify Ġget attr Ġhas attr Ġcontain ing AR K ole an 1 2 I P M L S K \ \ c lo e ar i es i mp n darray or mal Ġs q Ġin itial ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ Ġal ready ĠL abeledPoint Ġqu ery Ġite ms ' . c tions s or s age y y Ġin stead ---- --+ Ġd ist ke ts Ġh oliday di tion ms g Ġpro vi Ġind ices au se ĠNum ber P ython o ad r row ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ Ġc re ra ction ri de Ġse quence ad ata iz er Ġsc al py thon Ġwhe re log it ado op ' )). P ARK Q u T o c y i ther l ay p ol t t w ord at che Ġf ace Ġin fer Ġw arning um p un ique Ġof f ut es Ġl ambda Ġnum py Ġop tions Ġhe ad ĠEx ception " ] . 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") g ment m on p os Ġ zip in ce ti es Ġm ore un k ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ ([ ' ta ke Ġso urce Ġdate time Ġcheck point SK IP = " E D E x i li i ll Ġc ache en se Ġw rap def ined Ġst ep amp ling si st ĠP y Ġbo und tern al 3 2 A s I G R eturn U n b e f ace i ts Ġt emp ar r Ġi ts Ġm o Ġb ack ad ded ces sing Ġso me we en ĠEx amples parse Vector ste m Ġversion added Ġ{} ". Ġargum ent Ġsupport ed ĠDate timeIndex pect ed C or ] ), a red m odule o k o ur p ickle t ing Ġthe re Ġin teger Ġm atrix Ġe ither me mory .. . ow n Ġj c Ġal so Ġy ield Ġcharact er Ġprovi ded 0 3 S ON ] [ f fix i de i mage n dim r andom Ġa ggreg ame ter Ġ" . 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