text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def count _ inversion ( sequence ) : return sum ( [ len ( filter ( lambda x : x < i, sequence [ idx : ] ) ) for idx, i in enumerate ( sequence ) ] ) | [
-0.7822394371032715,
0.20000241696834564,
0.4922656714916229,
-1.040137529373169,
-0.22588372230529785,
0.050340842455625534,
0.8915650248527527,
0.7534981369972229,
0.05608582869172096,
0.7686806321144104,
-2.0645861625671387,
0.15034636855125427,
-0.3559671938419342,
-0.6647530794143677,... |
def _ generate _ thumbnail ( self, width, height ) : logging. info ( " generating thumbnail % dx % d " % ( width, height ) ) if type ( self. img _ orig ) is blobstore. blobinfo : img = images. image ( blob _ key = str ( self. img _ orig. key ( ) ) ) else : img = images. image ( image _ data = self. img _ orig ) img. re... | [
-0.09263230115175247,
0.03568759560585022,
0.5709177255630493,
-0.07858097553253174,
0.025127606466412544,
-1.000206708908081,
-0.4717901945114136,
0.17869430780410767,
-0.0002774349122773856,
-0.3097465932369232,
-0.1762000173330307,
-0.6008160710334778,
-0.050372712314128876,
-0.35484179... |
def cleanobjectfiles ( object _ files ) : cleaning _ list = ['libavcodec / file _ open. o ', # includes libavutil / file _ open. c'libavformat / file _ open. o ', # includes libavutil / file _ open. c # these codecs are not supported by chromium and allowing ogg to parse # them can lead to issues. see http : / / crbug.... | [
0.45000016689300537,
-1.2610583305358887,
0.9357032775878906,
0.16333124041557312,
0.26876184344291687,
0.32989054918289185,
0.2643710970878601,
-0.22904983162879944,
0.26966336369514465,
-0.29777005314826965,
0.06975153088569641,
-0.1491086184978485,
0.06249544769525528,
0.256509274244308... |
def plot _ roc ( preds, labels, title = " receiver operating characteristic " ) : # compute values for curve fpr, tpr, _ = roc _ curve ( labels, preds ) # compute fpr ( 95 % tpr ) tpr95 = fpr _ at _ 95 _ tpr ( preds, labels ) # compute auroc roc _ auc = auroc ( preds, labels ) # draw the plot plt. figure ( ) lw = 2 plt... | [
0.7698084712028503,
0.27923712134361267,
0.7187631726264954,
-1.266703486442566,
-0.4986237585544586,
0.17599742114543915,
0.5166125297546387,
0.6638289093971252,
-0.13234393298625946,
-0.13013049960136414,
0.31810662150382996,
0.6070939898490906,
0.5130441784858704,
-0.31177809834480286,
... |
def place _ mines ( self, x, y ) : self. mines = [ ] options = self. buttons. copy ( ) del options [ ( x, y ) ] # remove initial square from options for xy in random. sample ( list ( options ), app. mines ) : self. get _ tile ( * xy ). arm ( ) | [
-0.37745386362075806,
-0.14327195286750793,
0.36527127027511597,
-0.21176254749298096,
1.1890677213668823,
1.139266014099121,
-0.0377587229013443,
-1.2279170751571655,
0.9006609320640564,
0.05561221018433571,
-0.4466600716114044,
0.15055164694786072,
0.13371501863002777,
-0.497862368822097... |
def save ( self ) : # save the file xfile. _ save _ file ( self. _ filename, self. _ datasourcetree ) | [
-0.022713331505656242,
0.23840337991714478,
0.1340801864862442,
-1.36404550075531,
0.5498645305633545,
-0.1441083550453186,
-0.14668938517570496,
1.3430910110473633,
-0.6951397061347961,
0.11267774552106857,
-1.4307096004486084,
-0.3720340430736542,
0.10731685906648636,
0.00657147541642189... |
def multi _ input ( self, gen _ function, on _ done = none ) : def progress ( result ) : try : progress. variable _ name, progress. initial _ value = gen _ function. send ( result ) if type ( progress. initial _ value ) is str : sublime. active _ window ( ). show _ input _ panel ( progress. variable _ name, progress. i... | [
-0.7301552891731262,
0.2547110617160797,
0.7945447564125061,
-0.07779832184314728,
-0.33711686730384827,
0.057525403797626495,
0.5430946350097656,
-0.5438613295555115,
-0.973484218120575,
0.12114587426185608,
-0.3855832517147064,
0.08034959435462952,
-0.4546118378639221,
1.258681297302246,... |
def generate _ passwords ( self, password _ list ) : global passwords if passwords is none : passwords = [ none ] * len ( password _ list ) for index, password in enumerate ( password _ list ) : if password : passwords [ index ] = self. bcrypt. generate _ password _ hash ( password ) else : passwords [ index ] = none r... | [
-0.45355382561683655,
0.954149067401886,
0.5914886593818665,
0.8689386248588562,
1.078644871711731,
-0.5095606446266174,
-0.5130237340927124,
0.2940797507762909,
0.678517758846283,
0.9025487303733826,
-1.4391487836837769,
-0.4220382273197174,
-1.1448605060577393,
1.1338611841201782,
-0.9... |
def fit _ predict ( self, x, y, ids _ test, x _ test, prediction _ path ) : pass | [
-0.11012925207614899,
-1.016726016998291,
0.12195220589637756,
1.1743223667144775,
0.08180546015501022,
0.09890686720609665,
-0.03458094969391823,
0.800857663154602,
-0.5586814880371094,
0.27885696291923523,
-0.09918829053640366,
0.6478416919708252,
-0.2677108645439148,
-0.8064861297607422... |
def parse _ token ( scanner, token _ type ) : if scanner. peek ( ). type = = token _ type : return scanner. next ( ) else : raise parseerror ( expected = set ( [ token _ type ] ) ) | [
0.4117814600467682,
0.0069940825924277306,
0.5417183637619019,
0.22462797164916992,
-0.128214493393898,
-0.2924639582633972,
-0.4942886531352997,
-0.8041409850120544,
-0.49326765537261963,
-0.23234397172927856,
0.9556125998497009,
0.6007410287857056,
-0.43160444498062134,
0.350666522979736... |
def extract _ information ( prayer ) : # removes uppercase and special characters ponto = normalize ('nfkd ', prayer. lower ( ) ). encode ('ascii ','ignore') deity = { } # first it runs a scan based on the most unambiguous potential mentions # like when preceded by'sarava ', meaning'hail ', which is the surest one # or... | [
-0.25521761178970337,
-0.09071926027536392,
0.6878898739814758,
-0.7438397407531738,
-0.527090311050415,
-0.6626421809196472,
0.29435575008392334,
0.04140430688858032,
-0.3698478639125824,
-0.5054804682731628,
-0.4935433864593506,
0.5408777594566345,
0.6316303610801697,
1.1745128631591797,... |
def train _ base _ classifiers ( bootstrap _ data, val _ data, lr = 0. 7, iteration = 50 ) : # lr = 0. 7, iteration = 50 # train the base classifier trained _ models = { } for model, bootstrap in enumerate ( bootstrap _ data ) : _, _, opt _ theta, opt _ beta, validation _ acc = base _ classifer ( bootstrap, val _ data,... | [
-0.9078617691993713,
-0.7403380870819092,
0.49291378259658813,
0.6371236443519592,
0.660159707069397,
-0.09704579412937164,
-0.49778202176094055,
-0.3900225758552551,
-1.316914677619934,
0.28608840703964233,
-0.8441858887672424,
-0.321769654750824,
-0.16656844317913055,
0.4543132483959198,... |
def _ restore _ thermodynamic _ states ( self, ncfile ) : logger. debug ( " restoring thermodynamic states from netcdf file... " ) initial _ time = time. time ( ) # define reference units temperature _ unit = unit. kelvin pressure _ unit = unit. atmospheres # make sure this netcdf file contains thermodynamic state info... | [
-0.13328474760055542,
-0.28862056136131287,
0.1898302286863327,
-0.48842868208885193,
0.23811617493629456,
0.24309322237968445,
-0.07175091654062271,
-0.6798589825630188,
-0.7773436903953552,
-0.37183114886283875,
0.22413884103298187,
-0.6627577543258667,
-0.32510867714881897,
0.1091816201... |
def mock _ actor ( cls, count ) : counter = {'count': 0 } class wrappedactor ( cls ) : async def on _ message ( self, message ) : await super ( ). on _ message ( message ) counter ['count'] + = 1 if counter ['count'] = = count : await self. stop ( ) return wrappedactor | [
-1.2054259777069092,
-0.2487892210483551,
0.5505663156509399,
0.07694754749536514,
0.10485078394412994,
-0.21378464996814728,
1.1198230981826782,
-0.4121655523777008,
-0.02567657269537449,
-0.052317749708890915,
-0.15737511217594147,
0.23198874294757843,
-0.6806706786155701,
0.434267908334... |
def testreloadpopulatesfirsteventtimestamp ( self ) : gen = _ eventgenerator ( self ) acc = self. _ make _ accumulator ( gen ) gen. addevent ( event _ pb2. event ( wall _ time = 1, step = 2, file _ version = " brain. event : 2 " ) ) acc. reload ( ) def _ die ( * args, * * kwargs ) : # pylint : disable = unused - argume... | [
0.2981570363044739,
0.4400410056114197,
0.7918449640274048,
0.5571602582931519,
1.1075612306594849,
0.48446935415267944,
0.0935157909989357,
-0.7206156849861145,
-0.13212770223617554,
-0.4913251996040344,
-0.5106590986251831,
-0.527423620223999,
0.2472306787967682,
0.5331114530563354,
0.... |
def run ( self, get _ error = false ) : if type ( self. input _ sol ) = = list : x, y, z = self. input _ sol [ 0 ]. shape [ 0 ], self. input _ sol [ 0 ]. shape [ 1 ], len ( self. input _ sol ) else : x, y, z = self. input _ sol. shape [ 0 ], self. input _ sol. shape [ 1 ], self. input _ sol. shape [ 2 ] a1, a2, a3 = po... | [
-0.6044157147407532,
-0.2971356511116028,
0.9235078692436218,
0.1431054323911667,
0.255104660987854,
0.4219731390476227,
0.6767916679382324,
0.33483898639678955,
0.15147578716278076,
0.428171306848526,
0.15479892492294312,
-0.2688482105731964,
-0.28753483295440674,
-0.3951733112335205,
1... |
def tools _ convertxargstopx ( xposition, objw, textw ) : if xposition = = " left " : x = 0 elif xposition = = " center " : x = int ( 0. 5 * objw - 0. 5 * textw ) elif xposition = = " right " : x = int ( objw - textw ) else : try : x = int ( xposition ) except : print ( " [ pssmol ] invalid input for xposition " ) retu... | [
-0.6787900328636169,
-0.6845351457595825,
0.6889110207557678,
-1.007904052734375,
-1.0849225521087646,
0.43247872591018677,
-0.8087789416313171,
-0.45451733469963074,
-0.06345485150814056,
0.8387647271156311,
-0.43863460421562195,
-1.153030276298523,
-0.609527051448822,
-0.6006984710693359... |
def get _ all _ unique _ organims _ in _ db ( self ) - > list [ str ] : return list ( set ( self. _ database. iloc [ :, 5 ] ) ) | [
-0.34346821904182434,
0.6503427028656006,
0.42221423983573914,
0.34890028834342957,
0.4699403643608093,
0.6155986189842224,
0.2317223697900772,
-0.2806061804294586,
-0.18871670961380005,
0.2337748110294342,
-0.8793798685073853,
0.16670604050159454,
-0.42362654209136963,
-0.0371654890477657... |
def getobjectasarray ( self, object, classname ) : objlist = acm. farray ( ) # list if type ( object ) is list : for el in object : objlist. add ( self. getobject ( el, classname ) ) else : # tuple if isinstance ( object, tuple ) : for el in object : objlist. add ( self. getobject ( el, classname ) ) # int / string eli... | [
-1.5487887859344482,
-0.907812774181366,
0.7773129343986511,
1.213924765586853,
0.6889849901199341,
-0.09607654809951782,
0.6150744557380676,
-0.671873152256012,
0.42114514112472534,
0.19762557744979858,
-0.03281109780073166,
1.134312391281128,
-0.3883627951145172,
0.6120878458023071,
-0... |
def perturb _ coordinates ( old _ coords, negative _ freq _ vecs, molecule _ perturb _ scale, reversed _ direction ) : max _ dis = max ( math. sqrt ( sum ( x * * 2 for x in vec ) ) for vec in negative _ freq _ vecs ) scale = molecule _ perturb _ scale / max _ dis normalized _ vecs = [ [ x * scale for x in vec ] for vec... | [
-0.17114074528217316,
-0.2828314006328583,
0.5683472156524658,
0.08316481113433838,
0.16181008517742157,
-0.1602293998003006,
-0.2932121157646179,
0.36098840832710266,
0.23697185516357422,
-0.02975769340991974,
0.6885107755661011,
-0.1168498694896698,
-0.11637876182794571,
0.02903437428176... |
def clear ( self ) : for ids in self. _ id. values ( ) : ids. clear ( ) | [
-0.7179538607597351,
-0.8052978515625,
0.1938316524028778,
-0.6689751148223877,
0.4516109526157379,
0.4496012032032013,
-0.29028385877609253,
-0.3334236145019531,
-0.3592851758003235,
0.35104262828826904,
-0.4889509677886963,
1.0282648801803589,
0.14109200239181519,
0.35198089480400085,
... |
def _ _ init _ _ ( self, pos, radius = 0, cp1 = false, cp2 = false, direction = false, transform = false, sharp = true, israpid = false, comment = false ) : self. init ( ) self. pos = vec ( pos ) self. point _ type ='sharp'self. radius = radius self. cp1 = vec ( cp1 ) self. cp2 = vec ( cp2 ) self. direction = direction... | [
0.38651248812675476,
-0.6916282176971436,
0.6539509296417236,
0.3987540304660797,
0.4599222242832184,
0.21332168579101562,
-0.22882433235645294,
-0.06968624889850616,
0.3410699665546417,
-0.062195416539907455,
-0.7727665305137634,
0.10399340093135834,
0.4426277279853821,
-0.176432162523269... |
def getkey ( self, key, default = none ) : try : return self. _ config [ key ] except keyerror : return default | [
-0.7179921865463257,
0.7119053602218628,
0.03075314313173294,
0.9555373191833496,
0.5458478927612305,
-0.34269213676452637,
-0.725884199142456,
-0.3710973858833313,
-0.4829062819480896,
0.9980234503746033,
-0.02723836898803711,
-0.32937267422676086,
-1.132157325744629,
-0.10320891439914703... |
def arguments ( ) : parser = argparse. argumentparser ( ) parser. add _ argument ('campaign ', help = " shortcode for this call campaign ", type = str ) parser. add _ argument ('list _ file ', help = " the list file to call. ", type = str ) parser. add _ argument ('- c ','- - cps ', help = " max calls in one second ", ... | [
-0.045489601790905,
-0.41333484649658203,
0.9588175415992737,
-0.9476498961448669,
0.059877362102270126,
0.20946207642555237,
-1.0448157787322998,
0.40524813532829285,
-0.02055700309574604,
0.36829710006713867,
-0.19746387004852295,
-0.17566081881523132,
-0.6933394074440002,
0.643163383007... |
def most _ frequent ( self, k ) : return orderedvocabulary ( words = self. words [ : k ] ) | [
0.7973529100418091,
-0.41356971859931946,
0.3374766707420349,
0.13717783987522125,
-0.4446096420288086,
-1.2701141834259033,
-0.9299110770225525,
-0.7197959423065186,
-0.13669444620609283,
-0.37224429845809937,
0.31210142374038696,
-0.2496088147163391,
0.37268730998039246,
0.23619872331619... |
def bnmf ( df : pd. dataframe, k : int = 4, n _ run : int = 10, * * kwargs ) : bmf = nimfa. bmf ( df. values, rank = k, n _ run = n _ run, * * kwargs ) bmf _ fit = bmf ( ) w = pd. dataframe ( bmf _ fit. fit. w, index = df. index ). t h = pd. dataframe ( bmf _ fit. fit. h, columns = df. columns ). t h. columns = h. colu... | [
0.03869615122675896,
-0.32111692428588867,
0.5350867509841919,
0.44515952467918396,
0.2929411828517914,
-1.2969495058059692,
0.2192831188440323,
-0.14233075082302094,
-0.8499069809913635,
-0.036708101630210876,
-0.5929144620895386,
0.24481184780597687,
-1.095065951347351,
0.163446515798568... |
def _ get _ filter _ indices ( vector, filter _ treshold ) : # compute index - wise change in data diff = vector [ 1 : ] - vector [ 0 : - 1 ] # compute change of data point to both directions diff _ right = np. full ( vector. shape, np. nan ) diff _ left = np. full ( vector. shape, np. nan ) diff _ right [ 1 : ] = diff... | [
-0.3479929268360138,
-0.5714468359947205,
0.8402391076087952,
0.07731018215417862,
-0.6597375869750977,
-0.11189381778240204,
0.5690295100212097,
0.03468549624085426,
-0.197147935628891,
0.646338939666748,
-0.33271846175193787,
1.3348239660263062,
0.4819987714290619,
-0.19865716993808746,
... |
async def _ login ( self ) : try : await self. _ load _ areas ( ) # read / project to determine bridge type project _ json = await self. _ request ( " readrequest ", " / project " ) project = project _ json. body [ " project " ] if ( project [ " producttype " ] = = " lutron radiora 3 project " or project [ " producttyp... | [
-0.7414202094078064,
-0.025086121633648872,
0.6073621511459351,
0.953399121761322,
0.5538817048072815,
0.3075735569000244,
0.6172732710838318,
-0.493105411529541,
0.8227845430374146,
-0.28545212745666504,
-0.17473401129245758,
-0.5153968334197998,
0.015146812424063683,
0.2559574842453003,
... |
def dense _ to _ one _ hot ( labels _ dense, label _ encoder ) : n _ classes = len ( label _ encoder. classes _ ) logger. debug ('unique classes : { 0 } '. format ( n _ classes ) ) n _ labels = labels _ dense. shape [ 0 ] index _ offset = np. arange ( n _ labels ) * n _ classes labels _ one _ hot = np. zeros ( ( n _ la... | [
-1.8944404125213623,
-0.6988824605941772,
0.45033326745033264,
-0.12210667878389359,
0.6128450036048889,
0.5374870300292969,
0.23042985796928406,
0.44125816226005554,
1.0733022689819336,
0.39423850178718567,
0.4451928734779358,
0.2560083866119385,
0.017033889889717102,
0.14697763323783875,... |
def synth _ values _ tdep ( self, time, radius, theta, phi, *, nmax = none, deriv = none, grid = none, extrapolate = none ) : return self. model _ tdep. synth _ values ( time, radius, theta, phi, nmax = nmax, deriv = deriv, grid = grid, extrapolate = extrapolate ) | [
-0.6384273171424866,
1.0662728548049927,
0.41384825110435486,
-0.14700786769390106,
-0.627230703830719,
-0.7194612622261047,
-1.1983996629714966,
-0.39440369606018066,
-0.8770902752876282,
0.4957963824272156,
-0.6365721821784973,
-0.036550406366586685,
0.598054051399231,
0.3737073838710785... |
def get _ coded _ value ( self, domain _ name, description ) : domain = self. get _ domain ( domain _ name,'codedvalue') for ( code, desc ) in domain. codedvalues. items ( ) : if desc = = description : return code raise valueerror ('domain % s has no code for description % s'% ( domain _ name, description ) ) | [
0.40012890100479126,
0.18128080666065216,
0.5214093327522278,
0.3890669345855713,
-0.051185332238674164,
-0.20366938412189484,
-0.42693740129470825,
-0.05764317139983177,
-0.4327322542667389,
-0.18532265722751617,
1.0321729183197021,
1.8352513313293457,
0.181427001953125,
0.642643034458160... |
def non _ maximum _ suppression ( bbox, thresh, score = none, limit = none ) : return _ non _ maximum _ suppression _ gpu ( bbox, thresh, score, limit ) | [
-0.10844257473945618,
1.0080804824829102,
0.5026508569717407,
1.7602859735488892,
0.017022637650370598,
-0.7530665993690491,
-0.35799598693847656,
-0.7829221487045288,
0.35794946551322937,
0.052488312125205994,
0.20317339897155762,
-0.0532519668340683,
0.03525645658373833,
-0.9467186927795... |
def grid _ indexer ( self ) : return flex. grid ( self. grid _ size ( ) ) | [
0.47408807277679443,
0.010105886496603489,
0.3330514132976532,
0.1456804871559143,
-0.3403494656085968,
-0.6061206459999084,
-0.05428057909011841,
-0.07919023185968399,
-0.21061521768569946,
-1.1817620992660522,
0.6997263431549072,
0.2820446789264679,
-0.7054219841957092,
0.394332230091094... |
def create _ index ( self, definition _ name ='page') : # build a index and increment the version idx = index ( name ='% s _ v % d'% ( self. name, self. v ), using = es ) while idx. exists ( ) : self. v + = 1 idx = index ( name ='% s _ v % d'% ( self. name, self. v ), using = es ) mapping = definitions. get ( definitio... | [
-0.7262753248214722,
-0.0851931944489479,
0.5941702723503113,
-0.3838285803794861,
0.47426414489746094,
0.2420053780078888,
0.491717666387558,
0.7721258401870728,
0.08793886750936508,
0.45964252948760986,
-0.4735499620437622,
-0.40637263655662537,
-0.10305140912532806,
-0.314789354801178,
... |
def test _ cancel _ booking ( self ) : event = baker. make _ recipe ('booking. future _ ev') booking = baker. make _ recipe ('booking. booking ', event = event, user = self. user, paid = true ) self. assertequal ( booking. objects. all ( ). count ( ), 1 ) url = reverse ('booking : delete _ booking ', args = [ booking. ... | [
0.3771958351135254,
1.03347647190094,
0.29279467463493347,
1.4764198064804077,
-0.40702271461486816,
1.0156933069229126,
-0.17043918371200562,
1.9078463315963745,
-0.1523321568965912,
-0.28689923882484436,
-0.45834553241729736,
-0.980987548828125,
0.18498630821704865,
0.48551926016807556,
... |
def least _ common _ multiple ( m, n ) : # - - - - - - - - - - 1. input validation - - - - - - - - - - if not isinstance ( m, int ) or not isinstance ( n, int ) : raise exception ( " either m or n is not of integer type! " ) if m < = 0 or n < = 0 : raise exception ( " either m or n is non - positive! " ) # - - - - - - ... | [
0.43085023760795593,
-0.026747239753603935,
0.6126550436019897,
-0.5674006342887878,
-0.2139294296503067,
0.2873511016368866,
-0.2581179141998291,
-0.004809037782251835,
0.03690015897154808,
0.05153565853834152,
0.7258710265159607,
0.21905022859573364,
-1.274610161781311,
1.408221125602722... |
def eval _ atomic ( atomic, env ) : if isinstance ( atomic, lambda ) : return closure ( atomic, env ) if isinstance ( atomic, variable ) : return env [ atomic ] if isinstance ( atomic, ( int, bool, str, list, type ( none ) ) ) : return atomic assert ( not isisinstance ( atomic, atomic ) ) raise valueerror ( " % s is no... | [
-0.3260139524936676,
-0.2397756427526474,
0.5048113465309143,
-0.2639709711074829,
-0.06451079994440079,
-0.38736066222190857,
-0.48978424072265625,
-0.3527682423591614,
0.006826707161962986,
0.5906658172607422,
0.8169223666191101,
1.3033688068389893,
-0.11818555742502213,
-0.2927167117595... |
def input _ create ( k, file, numofvar, x, ub, lb ) : infile = open ( file,'w') # print ( " data ", a, b, k, numofvar ) for i in range ( numofvar ) : if ( i in k ) : # generate a random number for kth row rn = 100 * np. random. rand ( 1 ) [ 0 ] # print ( rn ) a = sobol _ seq. i4 _ sobol ( 1, rn ) [ 0 ] [ 0 ] * ( ub [ i... | [
0.1411799043416977,
0.013440459966659546,
0.7037146687507629,
0.5524588823318481,
0.007163959089666605,
0.9539658427238464,
0.3897970914840698,
0.25280290842056274,
-0.1349032074213028,
-0.02465682104229927,
-0.050399456173181534,
-0.8636617660522461,
-0.2966744303703308,
-0.06086773797869... |
def plot _ signs ( images, labels, counts = none, pred _ labels = none ) : count = len ( images ) fig, axes = plt. subplots ( 6, 7, figsize = ( 10, 10 ) ) fig. subplots _ adjust ( hspace = 1, wspace = 1 ) plot _ axes ( axes, images [ : - 1 ], labels [ : - 1 ], counts, is _ count = true ) | [
0.2821621298789978,
0.20233209431171417,
0.4397365152835846,
0.5153983235359192,
0.0006833709194324911,
0.09760000556707382,
0.7720636129379272,
0.6151004433631897,
-0.36109232902526855,
-0.4635474681854248,
0.8000620603561401,
-0.01007537730038166,
0.27787867188453674,
0.6121111512184143,... |
def test _ get _ all _ stacks ( self ) : stacks = stack. objects. all ( ) for s in stacks : self. asserttrue ( s. stackname. startswith ('wordpress') ) self. assertequal ( stacks. count ( ), 3 ) | [
1.217868685722351,
1.170318841934204,
0.3955606520175934,
1.1028766632080078,
1.5240486860275269,
0.4956720471382141,
-0.1342904418706894,
-0.18293699622154236,
-0.08242814987897873,
-0.14272157847881317,
-0.6653186678886414,
-0.6398719549179077,
0.2843714952468872,
0.726802408695221,
-0... |
def get _ address _ by _ name ( self, address _ name : str, resource _ group _ name : str, * * kwargs : any ) - > _ models. addressresource : api _ version = self. _ get _ api _ version ('get _ address _ by _ name') if api _ version = ='2020 - 12 - 01 - preview': from. v2020 _ 12 _ 01 _ preview. operations import edgeo... | [
-0.9510253667831421,
-0.5292556881904602,
0.8642226457595825,
-0.15045712888240814,
-0.9436139464378357,
-0.9107983112335205,
-0.19634857773780823,
-0.8324737548828125,
0.5064647197723389,
0.5962311029434204,
0.007195387035608292,
0.5811497569084167,
-0.5914627909660339,
0.1543137729167938... |
def resertfile ( self ) - > image : self. img. close ( ) self. img = image. open ( self. image _ file _ name ) return self. img | [
0.08695929497480392,
-0.5026000142097473,
0.46101415157318115,
-0.6021663546562195,
-0.3442719578742981,
0.2517407238483429,
0.5531048774719238,
0.6480107307434082,
-0.6140538454055786,
-1.0298242568969727,
0.9945887327194214,
0.28140872716903687,
-0.5690789222717285,
-0.7931454181671143,
... |
def order _ list ( request ) : if request. method = ='get': # get all requirements in order status if request. user. has _ perm ('customer. customer _ view _ others') : requirements = requirement. objects. filter ( status = " order " ). distinct ( ) else : requirements = requirement. objects. filter ( q ( customer _ _ ... | [
-0.14887847006320953,
-0.3552941679954529,
1.0366275310516357,
0.40144625306129456,
-0.5545573830604553,
0.24220150709152222,
0.16286839544773102,
0.7461630702018738,
-0.23341481387615204,
0.47970664501190186,
0.41032928228378296,
-0.5965175032615662,
0.6029458045959473,
1.0955020189285278... |
def get _ new _ name ( x : str ) - > str : y = x. lower ( ) if y = = " cervical " : return " cervical _ spine " m = re. match ( r " ^ ( [ lr ] ) \ s + (. + ) $ ", y ) if not m : raise valueerror ( " cannot parse site name : {! r } ". format ( x ) ) side = " left " if m. group ( 1 ) = = " l " else " right " site = m. gr... | [
-0.42643243074417114,
-0.14313603937625885,
0.9658163785934448,
-0.5272397994995117,
-1.4471642971038818,
0.05801717936992645,
-0.21970543265342712,
-0.4699305295944214,
0.3497008681297302,
0.5624917149543762,
-0.7381105422973633,
-0.11064758896827698,
0.9415329098701477,
-0.93581598997116... |
def test _ valid _ data ( self ) : form = self. form _ data ( operator _ 1 = self. staff _ user. pk, role _ 1 = self. project _ role. pk, start _ date _ 1 = " 2020 - 06 - 22 ", end _ date _ 1 = " 2020 - 06 - 27 ", note _ 1 = " ", ) self. asserttrue ( form. is _ valid ( ) ) | [
-0.18875393271446228,
0.35564300417900085,
0.5076242089271545,
0.535564661026001,
-0.006491447798907757,
1.6160650253295898,
-0.14218837022781372,
0.5369239449501038,
-0.8406416177749634,
-1.193800449371338,
-0.4374749958515167,
0.10223428159952164,
-0.08368664234876633,
-0.518843650817871... |
def num _ examples ( self ) : if classesmixin. _ does _ quack ( self ) : return self. _ local _ importance _ values [ 0 ]. shape [ 0 ] else : return self. _ local _ importance _ values. shape [ 0 ] | [
0.37709543108940125,
0.6268399357795715,
0.44496864080429077,
-0.3806719183921814,
0.9505742192268372,
0.15783832967281342,
0.8889613151550293,
0.8483873009681702,
0.9202030897140503,
-0.25205519795417786,
-0.5179375410079956,
0.46085864305496216,
0.3129030168056488,
0.47909894585609436,
... |
async def defaultrole ( self, ctx ) : role = self. settings. getserverstat ( ctx. message. server, " defaultrole " ) if role = = none or role = = " " : msg ='new users are not assigned a role on joining this server.'await self. bot. say ( msg ) else : # role is set - let's get its name found = false for arole in ctx. m... | [
0.044167306274175644,
0.5519965887069702,
0.599669337272644,
0.2502977252006531,
1.0937291383743286,
0.19504135847091675,
-0.5099358558654785,
-0.25962430238723755,
0.11444508284330368,
0.21449898183345795,
-0.07213613390922546,
0.72531658411026,
-1.511471152305603,
1.1199432611465454,
-... |
def test _ create _ reply _ notification _ via _ signal ( self ) : self. comment. save ( ) self. reply. save ( ) self. assertequal ( notification. objects. count ( ), 3 ) self. assertequal ( str ( notification. objects. get ( action = notification. reply ) ), f'{ self. user. display _ name } replied to { self. reply. b... | [
0.7493754625320435,
0.07641539722681046,
0.4979126751422882,
-0.37263569235801697,
1.2052748203277588,
0.824860692024231,
0.013261490501463413,
-0.6772682070732117,
0.039108872413635254,
0.3063655495643616,
-1.9623851776123047,
0.3211277425289154,
0.4232615530490875,
-0.03133758530020714,
... |
def match ( self, other ) : if self. sub _ type! ='*'and other. sub _ type! ='*'and other. sub _ type! = self. sub _ type : return false if self. main _ type! ='*'and other. main _ type! ='*'and other. main _ type! = self. main _ type : return false return true | [
-0.030967824161052704,
-0.4532845914363861,
1.0894737243652344,
1.2497929334640503,
-0.5913984775543213,
1.0959193706512451,
-0.341212660074234,
-0.29194504022598267,
-0.6459781527519226,
-0.10142920911312103,
-0.16240647435188293,
0.5325918197631836,
-1.237762451171875,
0.3572688102722168... |
def init _ weights _ and _ state ( self, input _ signature ) : x _ input _ signature = input _ signature [ 0 ] d _ model = x _ input _ signature. shape [ - 1 ] shape _ m1 = ( d _ model, self. _ d _ lowrank ) shape _ m2 = ( self. _ d _ lowrank, self. _ d _ ff ) shape _ mb = ( self. _ d _ ff, ) rng _ m1, rng _ m2, rng _ ... | [
-0.5030962228775024,
0.34271711111068726,
0.529180645942688,
-0.17656826972961426,
0.30238816142082214,
-0.7760290503501892,
0.27445361018180847,
0.23894305527210236,
-0.04011252894997597,
-0.30258703231811523,
-0.8868544101715088,
-0.07088111340999603,
0.5177664160728455,
0.84793758392333... |
def table _ features ( data ) : data _ select = data [ ['album _ name ','artist _ name ','name ','acousticness ','danceability ','energy ','instrumentalness'] ] df _ table = plotly. offline. plot ( ff. create _ table ( data _ select ), output _ type ='div') return df _ table | [
-0.25835758447647095,
0.329342246055603,
0.2869637608528137,
0.49229156970977783,
-0.24258646368980408,
-0.07957052439451218,
0.4720253348350525,
-0.4555325508117676,
-0.5579978227615356,
-0.3840130567550659,
-0.30638933181762695,
1.0492298603057861,
-0.09327984601259232,
-0.13533642888069... |
def make _ html ( station, sensor _ d, sensor, mean, changed : bool, url, url2 = none, hourly = false ) : # sensor info si = sensor _ d [ sensor ] [ 0 ] if sensor! ='temperature': totals, avg _ total = total _ and _ 95 ( sensor _ d, sensor, mean ) avg _ total = round ( avg _ total, 2 ) tstring = str ( round ( np. perce... | [
0.29820072650909424,
0.565634548664093,
1.0553194284439087,
-0.18458153307437897,
-1.1157984733581543,
0.5204080939292908,
0.49061158299446106,
-0.23342685401439667,
-0.2798372209072113,
0.33635178208351135,
1.1322189569473267,
-0.17181797325611115,
0.9061049222946167,
0.6131996512413025,
... |
def logged _ user ( request ) : return models. user. objects. filter ( id = request. session [ " user _ id " ] ) [ 0 ] | [
0.13994336128234863,
-1.023232340812683,
0.728924036026001,
0.7304985523223877,
0.48087990283966064,
-0.09409430623054504,
0.6282119154930115,
-0.9198648929595947,
0.6561555862426758,
-0.5058190822601318,
0.5461412072181702,
0.18623915314674377,
0.7115662097930908,
-0.4853028953075409,
-... |
def test _ addcircuit _ modify ( self ) : bits = cirq. gridqubit. rect ( 1, 20 ) circuit _ a = cirq. testing. random _ circuit ( bits, 10, 0. 9, util. get _ supported _ gates ( ) ) circuit _ b = cirq. testing. random _ circuit ( bits, 10, 0. 9, util. get _ supported _ gates ( ) ) expected _ append = util. convert _ to ... | [
-0.38753101229667664,
0.07314276695251465,
0.9211502075195312,
-0.6367073655128479,
0.6188862919807434,
0.11051663011312485,
0.5577645301818848,
-1.0515985488891602,
0.5793946385383606,
-0.6409333944320679,
-0.12073373049497604,
0.469251811504364,
-0.02390795759856701,
0.4218777120113373,
... |
def conv2d _ maxpool ( x _ tensor, conv _ num _ outputs, conv _ ksize, conv _ strides, pool _ ksize, pool _ strides ) : # implement function weight = tf. variable ( tf. truncated _ normal ( [ * conv _ ksize, int ( x _ tensor. shape [ 3 ] ), conv _ num _ outputs ], stddev = 0. 01 ) ) bias = tf. variable ( tf. zeros ( co... | [
0.8522639274597168,
-0.7440701723098755,
0.5637798309326172,
0.6162006855010986,
-1.0660816431045532,
0.12255220115184784,
-0.3629080355167389,
-0.20722104609012604,
0.1940961331129074,
0.2326059490442276,
-0.12255705147981644,
0.4681580662727356,
0.6674381494522095,
-0.4798530638217926,
... |
def swap ( values, a, b ) : temp = values [ a ] values [ a ] = values [ b ] values [ b ] = temp | [
-1.0459959506988525,
-0.05031036585569382,
0.5265388488769531,
-0.3654398024082184,
0.503867506980896,
-0.022323792800307274,
-1.0116862058639526,
0.6108666062355042,
-0.335832804441452,
-0.2317447066307068,
0.04401494935154915,
0.9456471800804138,
0.34651923179626465,
-0.23199643194675446... |
def init ( model : model [ list [ doc ], floats2d ], x : optional [ list [ doc ] ] = none, y : optional = none, ) - > none : width = model. get _ dim ( " width " ) tables = model. attrs [ " tables " ] if tables is none : raise valueerror ( " tables have to be set before initialization " ) unk = model. attrs [ " unk " ]... | [
-0.7299835085868835,
1.1034554243087769,
0.6523035764694214,
0.5650659799575806,
-0.9992169737815857,
0.017858300358057022,
0.7981399297714233,
-0.1918124556541443,
-0.32533708214759827,
0.3868738114833832,
-0.9972442388534546,
0.07787688821554184,
0.5511276125907898,
0.7779654264450073,
... |
def _ _ ne _ _ ( self, other ) : if not isinstance ( other, security ) : return true return self. to _ dict ( )! = other. to _ dict ( ) | [
-1.1670111417770386,
0.08932150900363922,
0.717353105545044,
0.4359626770019531,
-0.03776931390166283,
0.3516422510147095,
-0.613232433795929,
-1.1187260150909424,
0.2925841510295868,
-0.0935508981347084,
-1.4138869047164917,
-0.3282957673072815,
-0.45250293612480164,
-0.25627022981643677,... |
def compare _ predictions ( y _ pred, y _ axis, subtitles, title ) : fig, axes = plt. subplots ( 1, len ( subtitles ), figsize = ( 15, 5 ) ) fig. suptitle ( title ) for i in range ( 3 ) : axes [ i ]. scatter ( y _ pred [ subtitles [ i ] ], y _ axis [ subtitles [ i ] ] ) axes [ i ]. title. set _ text ( subtitles [ i ] )... | [
0.2746594250202179,
-0.3531953990459442,
0.867006242275238,
-0.04799710586667061,
-0.4494772255420685,
1.3550136089324951,
0.17246805131435394,
0.536827564239502,
-0.9274803400039673,
0.2453010231256485,
0.1610441654920578,
1.3212593793869019,
0.09748139977455139,
0.06338247656822205,
0.... |
def plotdecisionboundary ( theta, x, y, lamda ) : m = x. shape [ 0 ] pos = [ ] neg = [ ] for i in range ( m ) : if y [ i ] = = 1 : pos. append ( list ( x [ i, 1 : ] ) ) else : neg. append ( list ( x [ i, 1 : ] ) ) line1 = plt. scatter ( np. array ( pos ) [ :, 0 ], np. array ( pos ) [ :, 1 ], c ='r ', marker = '. ', s =... | [
0.15777653455734253,
0.1109248548746109,
1.1727017164230347,
0.17961089313030243,
-0.41858699917793274,
0.663439154624939,
0.5020462870597839,
1.095293402671814,
0.5817831158638,
-0.10303056240081787,
-0.149942085146904,
0.8864328265190125,
0.3579716980457306,
0.5558667182922363,
0.55162... |
def populate _ dungeon ( dungeon : list ) : for row in dungeon : for room in row : room ['monster'] = generate _ monster ( monster _ types, monster _ descriptions ) | [
-2.122382402420044,
1.0042880773544312,
0.4798484742641449,
-0.1480683982372284,
1.650139570236206,
0.1262235790491104,
-0.35795435309410095,
0.5587757229804993,
-0.5707360506057739,
0.5928894281387329,
-0.804183304309845,
0.016114410012960434,
0.34613409638404846,
2.04512882232666,
-0.4... |
def bfs ( start _ x, start _ y, stop _ x, stop _ y, grid ) : q = queue ( ) temp _ path = [ ( start _ x, start _ y ) ] q. put ( temp _ path ) while not q. empty ( ) : tmp _ path = q. get ( ) last _ node = tmp _ path [ len ( tmp _ path ) - 1 ] if last _ node = = ( stop _ x, stop _ y ) : return tmp _ path [ 1 : ] next = u... | [
-0.3521897792816162,
-0.26247596740722656,
1.1757181882858276,
0.15467485785484314,
0.23097112774848938,
-0.39309707283973694,
-0.030696386471390724,
-0.8328033089637756,
-0.297909677028656,
0.3739384710788727,
-0.030931157991290092,
0.4583984911441803,
-0.6680043935775757,
0.2691302895545... |
def _ update _ common _ subjects ( self, idx ) : self. common _ subjects = [ sub for i, sub in enumerate ( self. common _ subjects ) if idx [ i ] ] | [
-0.5425397753715515,
-0.490633100271225,
0.4155086278915405,
-0.8376258611679077,
-0.006899675354361534,
0.5384988188743591,
0.4417400658130646,
-0.9785221219062805,
0.3110786974430084,
0.8513729572296143,
0.05313540995121002,
0.7392469048500061,
-1.24000084400177,
-0.6955775022506714,
-... |
def do _ migration ( self ) : # assign partners if self. comm _ rank = = 0 : partners = list ( range ( self. comm _ size ) ) random. shuffle ( partners ) else : partners = none partners = self. comm. bcast ( partners, root = 0 ) ind = partners. index ( self. comm _ rank ) # primary partner primary = ( ind % 2 = = 0 ) i... | [
-0.7816872596740723,
0.5597367882728577,
0.9620393514633179,
-0.16347987949848175,
0.49603474140167236,
-0.10952575504779816,
0.7209634780883789,
0.0007679228438064456,
-0.4698839485645294,
-0.0034891727846115828,
-0.5164045691490173,
0.3239598274230957,
-0.5487022399902344,
0.585736215114... |
def write _ json ( self, fieldname = " hgf _ record ", ) : fw = open ( os. path. join ( self. curdir, fieldname ), " w " ) json. dump ( self. data, fw, sort _ keys = true, indent = 2 ) fw. close ( ) | [
-1.0956767797470093,
-0.5371339321136475,
0.5178765058517456,
-0.40460118651390076,
0.8528158068656921,
0.060673873871564865,
1.0250074863433838,
0.40786242485046387,
-1.3870327472686768,
-0.6700947284698486,
-0.9215295910835266,
0.6830754280090332,
-0.042128585278987885,
0.737092375755310... |
def load _ units ( self, spike _ name, clustering _ name, no _ waveforms = false, ignore _ cluster _ zero = false ) : data = nwbio. load _ spikes ( self. fpath, spike _ name = spike _ name, use _ idx _ keep = true, use _ badchan = true, no _ waveforms = no _ waveforms, clustering _ name = clustering _ name, verbose = s... | [
-0.6926276683807373,
0.3867735266685486,
0.6984949707984924,
-1.171925663948059,
0.6370471715927124,
-0.044011302292346954,
0.3304521143436432,
0.24572385847568512,
0.16288986802101135,
0.4150400757789612,
-0.5542934536933899,
-0.3478631377220154,
0.2484317272901535,
0.2957439422607422,
... |
def cu _ r4 ( f1, t0, tn, y0, h, k = [ ] ) : hi = np. linspace ( t0, tn, 1 + int ( ( tn - t0 ) / h ) ) # defines mesh of t between t0, tn if k = = [ ] : # defining dummy variable k when k is not required f = lambda y, t, k : f1 ( y, t ) k = np. zeros ( 2 * len ( hi ) - 1 ) else : f = lambda y, t, k : f1 ( y, t, k ) y =... | [
0.4630067050457001,
-0.187006875872612,
0.9766669273376465,
0.06722874939441681,
0.20107561349868774,
-0.3023136258125305,
0.5821178555488586,
0.09198026359081268,
-1.4583325386047363,
0.4636767506599426,
0.1099606305360794,
0.06913138926029205,
-0.025911923497915268,
0.11661449819803238,
... |
def detect _ labels ( path ) : client = vision. imageannotatorclient ( ) with io. open ( path,'rb') as image _ file : content = image _ file. read ( ) image = vision. image ( content = content ) response = client. label _ detection ( image = image ) labels = response. label _ annotations tags = [ ] for label in labels ... | [
-0.3620651662349701,
-0.7477929592132568,
0.5114759802818298,
-0.09780427813529968,
0.6651033759117126,
0.22844700515270233,
-1.24491548538208,
-0.4509125351905823,
-0.6163630485534668,
1.4513394832611084,
-0.45927727222442627,
0.31207022070884705,
0.0928448960185051,
1.3920719623565674,
... |
def create _ javascript _ function ( self ) : js _ function = " " " < script async type = " text / javascript " > function parsecsv _ { 0 } ( csv, id ) { { papa. parse ( csv, { { comments :'# ', delimiter : ', ', header : true, dynamictyping : true, error : function ( reason ) { { console. log ( reason ) ; } }, complet... | [
0.060779228806495667,
-0.11498496681451797,
0.525201678276062,
-0.0928121879696846,
-0.1218094602227211,
-1.2314850091934204,
0.11388688534498215,
-0.6935998797416687,
-0.36389437317848206,
0.18734635412693024,
-0.2909591495990753,
0.5666577816009521,
0.6396636962890625,
-0.000545467075426... |
def div _ xy ( self, fx, fy, gtype ='tri ', btype = 1 ) : if gtype = ='tri': # get component of vector field parallel to tri _ mesh tangents ( and therefore perpendicular to vor _ edges ) : ff = fx * self. tri _ tang [ :, 0 ] + fy * self. tri _ tang [ :, 1 ] if btype = = 2 : divf = ( 1 / self. vor _ sa ) * np. dot ( - ... | [
0.6995774507522583,
0.2228071093559265,
0.8139315843582153,
-0.10893447697162628,
-0.13402606546878815,
-0.06273595243692398,
0.4888259172439575,
-0.3220579922199249,
-0.8214918971061707,
0.13990484178066254,
0.2506526708602905,
0.39777132868766785,
-0.6655260920524597,
0.44621413946151733... |
def check _ rootfolders ( ) : folders _ util = [ args. checkpoint _ dir, os. path. join ( args. checkpoint _ dir,'log'), os. path. join ( args. checkpoint _ dir,'checkpoint') ] for folder in folders _ util : if not os. path. exists ( folder ) : print ( ('creating folder'+ folder ) ) os. mkdir ( folder ) | [
-0.06681104004383087,
-0.22067010402679443,
0.8096259236335754,
1.02814519405365,
1.371115803718567,
1.1065417528152466,
0.7145550847053528,
-0.5082566142082214,
-0.24238766729831696,
-0.48870429396629333,
0.43416517972946167,
0.16363555192947388,
-0.008446455001831055,
0.6847853660583496,... |
def _ test _ random _ forest _ classification ( ) : folder _ name = ". " from os import listdir files = sorted ( [ file for file in listdir ( folder _ name ) if " csv " in file ] ) for file in files : print file, test _ random _ forest _ classification ( file ) | [
0.06780275702476501,
-0.32708558440208435,
0.6755356788635254,
0.9691146612167358,
0.6335455775260925,
0.31215375661849976,
0.7593933939933777,
0.178418830037117,
-0.3722131848335266,
-0.6103947162628174,
-0.2561604082584381,
0.5998753905296326,
0.22383734583854675,
1.447326898574829,
-1... |
def datasets ( self, datasets ) : self. _ datasets = datasets | [
-1.034074068069458,
0.865634024143219,
-0.3564791977405548,
-0.21388433873653412,
-0.6248032450675964,
0.30983516573905945,
0.00362687767483294,
0.7001109719276428,
0.504957914352417,
-1.0698415040969849,
-0.6311512589454651,
0.593252420425415,
0.04328456148505211,
0.24402643740177155,
-... |
def launch ( self, deployable _ type _ id, site, allocation, count = 1, extravars = none, caller = none ) : raise notimplementederror | [
-0.49903321266174316,
0.13892075419425964,
0.4558390974998474,
0.17801204323768616,
-0.32178443670272827,
-0.06614325195550919,
0.40246641635894775,
-0.05912944674491882,
0.9726609587669373,
0.3528299033641815,
0.4785550534725189,
0.39816710352897644,
0.36434775590896606,
0.402768939733505... |
def create _ component ( array, disabled, player _ settings _ 1, player _ settings _ 2, index ) : element = array [ index ] if element = = array _ identifier _ empty : emoji = emoji _ nothing style = buttonstyle. blue elif element = = player _ settings _ 1. identifier : emoji = player _ settings _ 1. emoji style = play... | [
-0.31487828493118286,
-0.48036423325538635,
0.4896109104156494,
0.033988479524850845,
0.22702543437480927,
0.4992130994796753,
-0.33683913946151733,
-0.0778532326221466,
0.7818107604980469,
0.3007635772228241,
-0.4235513210296631,
0.010700270533561707,
-0.7687101364135742,
-0.6767465472221... |
def update ( self, time _ evt ) : # check if this is the first time we are being called if time _ evt. last _ real : # calculate time delta between calls dt = time _ evt. current _ real - time _ evt. last _ real self. _ publish _ effort ( dt ) self. _ publish _ state ( dt ) | [
0.05925238877534866,
-0.549497127532959,
0.5017423033714294,
0.0673128217458725,
0.28867852687835693,
0.44504156708717346,
-0.030133429914712906,
-0.11325647681951523,
0.3059568703174591,
0.4220769703388214,
-0.570584774017334,
-0.6624438762664795,
-0.5434762835502625,
1.8642204999923706,
... |
def remove _ mc ( self, ns _ key, ipv4 _ vec ) : ver _ args = [ {'name':'ns _ key ','arg': ns _ key,'t': emunamespacekey }, {'name':'ipv4 _ vec ','arg': ipv4 _ vec,'t':'ipv4 _ mc ','allow _ list': true }, ] emuvalidator. verify ( ver _ args ) ipv4 _ vec = [ ipv4 ( ip, mc = true ) for ip in ipv4 _ vec ] ipv4 _ vec = [ i... | [
-1.3657597303390503,
-0.08079642057418823,
0.5569022297859192,
-0.18949691951274872,
-0.6164891719818115,
-0.5522093772888184,
0.23593509197235107,
0.14206866919994354,
-0.12514345347881317,
1.0956063270568848,
-0.2304142713546753,
0.3946734666824341,
-1.260887622833252,
0.2947566211223602... |
def test _ func ( self ) : self. rol _ nu, self. functie _ nu = rol _ get _ huidige _ functie ( self. request ) return self. rol _ nu = = rollen. rol _ bko | [
0.0009160514455288649,
-0.5611129999160767,
0.33852121233940125,
0.727191686630249,
1.0472739934921265,
-0.16395863890647888,
0.9613775610923767,
-0.6667676568031311,
0.20127388834953308,
-0.4168430268764496,
0.11501945555210114,
0.5656507015228271,
-0.47980499267578125,
-0.751270294189453... |
def write _ score ( score _ dir, score, duration ) : score _ filename = join ( score _ dir,'scores. txt') with open ( score _ filename,'w') as ftmp : ftmp. write ( f'score : { score } \ n') ftmp. write ( f'duration : { duration } \ n') logger. debug ( f " wrote to score _ filename = { score _ filename } with " f " scor... | [
-0.020771339535713196,
-0.9074758291244507,
0.7271391153335571,
0.34230172634124756,
1.4560343027114868,
0.4752452075481415,
0.05634571984410286,
0.6167489886283875,
-0.2935572564601898,
1.2405542135238647,
-0.6189605593681335,
0.6772567629814148,
0.019245922565460205,
-0.3012838363647461,... |
def write _ scores _ to _ file ( neg, pos, filename ) : os. makedirs ( os. path. dirname ( filename ), exist _ ok = true ) with open ( filename, " wt " ) as f : for i in pos : text = ( " 1 % f \ n " % i if numpy. random. normal ( 0, 1 ) > 0. 01 else " 1 nan \ n " ) f. write ( text ) for i in neg : text = ( " - 1 % f \ ... | [
-0.8715319037437439,
-0.5599267482757568,
0.575102686882019,
0.16212859749794006,
0.7345077395439148,
1.4616843461990356,
0.27595239877700806,
0.36765509843826294,
-0.3843969404697418,
0.741998016834259,
-0.23531503975391388,
-0.38018256425857544,
0.12473257631063461,
0.33835846185684204,
... |
def terminate ( self ) : self. send _ signal ( signal. sigterm ) | [
0.20524652302265167,
0.2906985282897949,
0.4281005263328552,
0.7834730744361877,
1.1303397417068481,
0.21443527936935425,
-0.7800717353820801,
-0.07401349395513535,
-0.4968910217285156,
-0.3255612850189209,
-0.9402241110801697,
-0.5527008175849915,
-0.6642363667488098,
0.13626238703727722,... |
def binarize _ y ( self, params, save _ path = none, ensure _ balanced = false ) : labb = labelbinarizer ( params ) self. x, self. y = labb. fit ( ). transform ( self. x, self. y ) if labb. idx _ is not none : self. _ update _ common _ subjects ( labb. idx _ ) if ensure _ balanced : self. _ undersample _ majority ( ) i... | [
-0.49014368653297424,
-0.7852003574371338,
0.661225438117981,
0.6501402854919434,
1.1233079433441162,
0.27074021100997925,
0.5335270762443542,
-0.5175172686576843,
-0.633590579032898,
0.06101389601826668,
-0.5945234298706055,
-0.40686216950416565,
-0.36070433259010315,
0.3166326880455017,
... |
def team _ 12 _ adv ( ) : # def choosing ( choice ) : # def dead ( ) : # quit ( ) print ( " you walk into a room and see a glass of milk sitting on a table. do you drink it? ) " ) choice1 = input ( " [ yes / no ] " ) choosing ( choice1 ) sleep ( 1 ) print ( " in the dark hall you see a libra scale. you have to set the ... | [
-0.2451346069574356,
0.14907917380332947,
1.0121617317199707,
0.6370794773101807,
-0.46610069274902344,
0.7855756282806396,
0.40800657868385315,
-0.6849619746208191,
-0.14615358412265778,
0.6997138261795044,
-0.9404972791671753,
0.7808459401130676,
-0.16477183997631073,
0.22662541270256042... |
def get _ created _ time ( self ) : return self. _ _ created _ time | [
0.5299991369247437,
-0.3903716802597046,
0.3993384540081024,
0.2230941504240036,
1.6410847902297974,
0.7998982667922974,
-0.17264825105667114,
-0.164279967546463,
-0.39204099774360657,
-0.6843407154083252,
-0.4271499216556549,
0.07430216670036316,
-0.11754488945007324,
0.16534236073493958,... |
def test _ write _ directory ( subtests, etcd _ client, prefix ) : with subtests. test ( " we should be able to create a non - existent directory " ) : assert etcd _ client. write _ directory ( " { } / write _ dir / dir1 ". format ( prefix ), none ) assert etcd _ client. get ( " { } / write _ dir / dir1 ". format ( pre... | [
-0.8078579902648926,
-0.03369636461138725,
0.4268801510334015,
-0.6773043870925903,
1.0950074195861816,
0.15573064982891083,
0.1446504443883896,
0.36320462822914124,
0.02500648982822895,
-0.06837937980890274,
0.1648710072040558,
0.34257426857948303,
0.34551939368247986,
-0.2131474316120147... |
def send _ request ( request ) : sock = socket. socket ( socket. af _ inet, socket. sock _ dgram ) sock. sendto ( bytes ( request,'utf - 8'), addr ) reply, _ = sock. recvfrom ( 1024 ) return json. loads ( reply ) | [
-1.6003916263580322,
0.9157530665397644,
0.7606937885284424,
-0.8174663186073303,
-0.7710788249969482,
-1.130345344543457,
-0.9826893210411072,
-1.3770833015441895,
0.4677681028842926,
0.4187178909778595,
-0.13789354264736176,
0.717036247253418,
-0.26900410652160645,
-0.580228328704834,
... |
def test _ successful _ update ( self ) : response = self. client. post ( self. url, { } ) self. assertredirects ( response, reverse ('tasks : home'), status _ code = 302, target _ status _ code = 200 ) self. task. refresh _ from _ db ( ) self. profile2. refresh _ from _ db ( ) self. assertequal ( self. task. status, t... | [
0.5553402304649353,
0.22291387617588043,
0.629135012626648,
1.1418431997299194,
0.0014991677599027753,
1.4852510690689087,
0.22072891891002655,
0.3979850709438324,
-0.14572353661060333,
-0.06645543873310089,
-0.9856659173965454,
-0.1764664202928543,
0.5673896074295044,
0.10907544195652008,... |
def reset _ to _ device ( self ) : self. send _ device _ mitm ( managementreset ( ) ) | [
-0.5124836564064026,
0.6771078705787659,
0.05289413407444954,
0.9229392409324646,
1.1766809225082397,
-0.3836906850337982,
0.8614251017570496,
-0.9619429111480713,
-0.13177761435508728,
-0.18654948472976685,
-0.012269493192434311,
1.8540797233581543,
-0.10295629501342773,
-0.47349646687507... |
def acl6totmisses ( self ) : try : return self. _ acl6totmisses except exception as e : raise e | [
0.4108770489692688,
0.0756983757019043,
0.17706839740276337,
-0.5887556076049805,
0.4635734558105469,
-1.0287936925888062,
0.3055271506309509,
-0.7405675649642944,
0.7462999820709229,
0.6758838891983032,
-0.5236692428588867,
-1.242975115776062,
0.17662620544433594,
-0.48255228996276855,
... |
def get _ responsecode ( self ) : return self. _ output. get ('responsecode ', none ) | [
1.2292975187301636,
-0.8017759323120117,
0.35739484429359436,
0.587668240070343,
-0.4881168305873871,
-0.9525429606437683,
1.3066136837005615,
-0.23280006647109985,
0.19490905106067657,
-1.181197166442871,
0.695793092250824,
0.027292465791106224,
-0.1385466307401657,
-0.43073001503944397,
... |
def contactable _ fields ( agency, office _ dict ) : agency. phone = office _ dict. get ('phone') agency. emails = office _ dict. get ('emails ', [ ] ) agency. fax = office _ dict. get ('fax') agency. office _ url = office _ dict. get ('website') agency. request _ form _ url = office _ dict. get ('request _ form') serv... | [
-0.6474941372871399,
-0.5050538778305054,
0.6277177929878235,
-0.7758609056472778,
-0.8291530609130859,
0.08269267529249191,
-0.6671562194824219,
0.4470711350440979,
0.1479366272687912,
0.80878746509552,
-0.5258654952049255,
-0.3617428243160248,
0.11139683425426483,
-0.06706686317920685,
... |
def extra _ state _ attributes ( self ) : return self. _ attrs | [
-0.9464250206947327,
-0.38386356830596924,
0.4057950973510742,
-0.3343028426170349,
-1.2223007678985596,
0.3764427900314331,
-0.0731927752494812,
0.4576786160469055,
0.6294298768043518,
-0.3139447569847107,
-0.7961755990982056,
-0.294874370098114,
-0.24440467357635498,
-0.01095053739845752... |
def get _ metric _ lines ( output _ lines ) : return [ l for l in output _ lines if is _ metric _ line ( l ) ] | [
0.7770786285400391,
-0.3502795100212097,
0.2155766636133194,
1.8656364679336548,
-0.28588560223579407,
0.8066361546516418,
-0.49106720089912415,
-0.4259520471096039,
-0.7771409749984741,
0.6426733732223511,
1.110308289527893,
0.08871199935674667,
0.24387450516223907,
0.2833464741706848,
... |
def search ( search _ terms, corpus = corpus ) : # instantiate tf / idf vectorizer, provided by sklearn vectorizer = tfidfvectorizer ( min _ df = 1, analyzer = lemmatize ) # get the features and tf / idf scores from the corpus and the search terms features = vectorizer. fit _ transform ( [ search _ terms ] + corpus ) s... | [
0.2913219630718231,
-0.6113063097000122,
0.6148064732551575,
0.3529723584651947,
1.2537949085235596,
-0.46961092948913574,
-0.3097741901874542,
0.03766096383333206,
-0.6659491658210754,
0.590362012386322,
0.18979008495807648,
-0.17519105970859528,
-0.675807774066925,
0.13188329339027405,
... |
def require _ cuda ( func ) : @ functools. wraps ( func ) def wrapped ( * args, * * kwargs ) : if liteglobal. get _ device _ count ( litedevicetype. lite _ cuda ) : return func ( * args, * * kwargs ) return wrapped | [
-0.2719458043575287,
-0.044581007212400436,
0.8292357921600342,
-0.004067144822329283,
-0.27317896485328674,
0.09979849308729172,
0.08193057775497437,
-0.30336475372314453,
0.30501431226730347,
0.8284253478050232,
0.8407078981399536,
0.2598646581172943,
0.30998772382736206,
0.9351288676261... |
def clear _ gateway ( self ) : self. gateway = none if self. _ gemeente is not none : self. _ gemeente. clear _ gateway ( ) | [
0.2630910277366638,
-0.1632586270570755,
0.4399772882461548,
-0.029546042904257774,
-0.6112127900123596,
-0.24237105250358582,
-0.3795604705810547,
-0.6814151406288147,
-0.4538399279117584,
0.750765323638916,
0.1706228405237198,
1.2344799041748047,
-0.9410513639450073,
1.2313008308410645,
... |
def parse _ item ( self, section, key, method, parser = none ) : fn = getattr ( section, method ) value = fn ( key, none ) if value is none : value = self. defaults [ key ] elif parser is not none : value = parser ( value ) return ( key, value ) | [
-0.641770601272583,
-0.37677550315856934,
0.4963894784450531,
0.3246818482875824,
0.17558668553829193,
-0.9598134160041809,
-1.1252750158309937,
-0.005968828219920397,
-0.7551336884498596,
0.513465166091919,
0.20205095410346985,
-0.5198904275894165,
0.3259614408016205,
0.4920613467693329,
... |
def following _ count ( self ) : return self. _ following _ count | [
0.3882460296154022,
0.2627864480018616,
0.4424426257610321,
0.6184644103050232,
-0.6726179122924805,
1.7800732851028442,
0.7235603332519531,
-0.35502955317497253,
-0.17546769976615906,
-0.9606541991233826,
-0.8548941016197205,
0.06765127182006836,
0.07798103988170624,
0.38961461186408997,
... |
def fit ( model, data _ bunch, callbacks, return _ best _ model = false, * * kwargs ) : train _ x = data _ bunch. train. features. underlying train _ y = data _ bunch. train. targets. underlying valid _ x = data _ bunch. valid. features. underlying valid _ y = data _ bunch. valid. targets. underlying try : model. fit (... | [
0.6197469234466553,
0.16044171154499054,
0.5538328886032104,
1.20624840259552,
0.11978598684072495,
0.8798272013664246,
-0.5490773916244507,
-0.010418770834803581,
-0.3142002522945404,
-0.50050288438797,
0.049572207033634186,
-0.4836612045764923,
-0.878129780292511,
0.15850985050201416,
... |
def _ _ init _ _ ( self, output = true ) : n _ out = 1 if output else 0 self. _ output = output super ( ). _ _ init _ _ ( name ='_ rememberinreverse ', n _ out = n _ out ) | [
-0.08870351314544678,
0.7812551856040955,
0.522545576095581,
0.5576441287994385,
-0.2596483528614044,
-0.7914819121360779,
1.0209351778030396,
0.8196480870246887,
-0.4736468493938446,
-0.1007068008184433,
-0.5788772106170654,
0.1565682739019394,
-0.7960241436958313,
0.6609588861465454,
0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.