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def quick _ blog ( context ) : context [ " form " ] = blogpostform ( ) return context
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def has _ fix ( self, pos ) : if " lat " in pos and self. is _ nan ( pos [ " lat " ] ) = = false : return true else : return false
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def _ _ eq _ _ ( self, other ) : return self. _ equality ( self, other )
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def _ field _ arg _ with _ prev _ check _ trigger _ function ( self, outer _ self, * args, * * kwargs ) : trigger = false if self. _ plain _ field _ arg _ check _ trigger _ function ( outer _ self ) : prev _ value = outer _ self. get _ prev _ value ( self. field ) if prev _ value = = self. prev : trigger = true return ...
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def available ( self ) - > bool : return self. processor. coordinator. sleepy _ device or super ( ). available
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def underconstruction ( name ) : return type ( name, ( underconstruction, ), { } )
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def getcroppingregionplanes ( self ) :...
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def open _ file _ read ( filename, offset = none ) : filename = os. path. expanduser ( filename ) mt = os. path. getmtime ( filename ) at = os. path. getatime ( filename ) fm = stat. s _ imode ( os. stat ( filename ) [ stat. st _ mode ] ) fp = open ( filename,'rb') if offset! = none : fp. seek ( offset ) return mt, at,...
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def simannealing ( startstate, inittemp = 100. 0 ) : currtemp = inittemp currstate = startstate currstate. setprintmode ( full = false ) currvalue = currstate. getvalue ( ) maxvalue = currstate. getmaxvalue ( ) count = 0 if verbose : print ( " = = = = = = = = = = = = = = = = = = = = = start = = = = = = = = = = = = = = ...
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def taskflow _ downstream ( task, task _ downstream, only _ complete = false ) : tasks = luigi. tools. deps. find _ deps ( task _ downstream, task. task _ family ) if only _ complete : tasks = { t for t in tasks if t. complete ( ) } return tasks
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def make _ file _ name _ v2 ( self, final _ sweep, starttime ) : outstring = output _ prefix + " ta0 " + str ( self. target _ area ) \ + " _ std0 " + str ( self. target _ std ) + " _ i0 " \ + str ( self. current _ sweep ) \ + " _ f0 " + str ( final _ sweep ) \ + " _ started " + str ( starttime ) return outstring
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def get _ deeplabv3 ( backbone, classes, aux = false, model _ name = none, pretrained = false, root = os. path. join ( " ~ ", ". chainer ", " models " ), * * kwargs ) : net = deeplabv3 ( backbone = backbone, classes = classes, aux = aux, * * kwargs ) if pretrained : if ( model _ name is none ) or ( not model _ name ) :...
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def checksamedataarrays ( comment, resultedda, expectedda, update = true ) : res = resultedda. identical ( expectedda ) if update : if res : results [ " pass " ] + = 1 else : print ( " checking string ", comment,'| ', resultedda, "! = ", expectedda ) results [ " fail " ] + = 1 return res
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def password ( self, password ) : self. _ _ dict _ _ [ " password " ] = md5 ( password. encode ('utf - 8') ). hexdigest ( )
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def extend _ results _ extrapoling _ relations ( helper ) : if not helper. bucket _ dry : return # no need. tokens = set ( helper. meaningful + helper. common ) for relation in _ extract _ manytomany _ relations ( tokens ) : helper. add _ to _ bucket ( [ t. db _ key for t in relation ] ) if helper. bucket _ overflow : ...
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def bonded _ beads _ distance _ whole _ backbone ( simname, first _ only = false, coord _ loc = [ 3, 6 ], save = false, root _ mean _ square = false ) : bonded _ beads _ distance _ list = [ ] if first _ only : df, bs = extract. extract _ unwrapped ( simname, first _ only = true, boxsize = true ) else : df, boxsize _ wh...
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def env _ task ( * args, * * kwargs ) : wrapper _ function = task ( * args, * * kwargs ) wrapper _ function. decorated _ env _ task = true return wrapper _ function
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def get _ shape _ and _ channels _ from _ json ( example _ info _ json ) : if not tf. io. gfile. exists ( example _ info _ json ) : logging. warning ('starting from v1. 4. 0, we expect % s to'' include information for shape and channels. ', example _ info _ json ) return none, none with tf. io. gfile. gfile ( example _...
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def test _ get _ user _ skills ( self ) : self. assertsetequal ( set ( self. user1. get _ user _ skills ( ) ), { self. skill1, self. skill3 } )
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def test _ sudo _ prompt _ display _ directly ( self ) : testnetwork. _ prompt _ display ( false )
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def build _ cpo _ expr _ array ( val ) : def normalize _ value ( val ) : assert not is _ string ( val ), " impossible to build an array expression from a string " assert not isinstance ( val, dict ), " impossible to build an array expression from a dictionary. select values ( ) or keys ( ). " try : return _ cachekeytup...
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def pyop _ field ( self, name ) : return notimplemented
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def print _ times ( results, stds = false ) : print ('mean function times') print ('= = = = = = = = = = = = = = = = = = =') for dataset _ name in results ['mean _ times']. keys ( ) : print ( ) print ( dataset _ name ) print ('-'* len ( dataset _ name ) ) for f _ name in results ['mean _ times'] [ dataset _ name ] : mea...
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def load _ and _ prec ( ) : df _ train = pd. read _ csv ( ".. / input / train. csv " ) df _ test = pd. read _ csv ( ".. / input / test. csv " ) # # fill up the missing values train _ x = df _ train [ " question _ text " ]. fillna ( " _ # # _ " ). values test _ x = df _ test [ " question _ text " ]. fillna ( " _ # # _ "...
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def plotsegmentations ( self, show _ figure : bool = true ) - > none : if self. segm _ channel is none : raise runtimeerror ( " segmentation - related function called before segmentation " ) segmentations = [ ] # get time points from " frame " script from _ frame = self. frames [ self. segm _ channel ] [ 0 ]. time _ po...
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def _ cursor _ set _ implementation ( self ) - > none : return
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def _ get _ multiplier ( self, x ) : last _ dim = x. shape [ - 1 ] def big _ relatively _ prime ( n ) : # the longest possible cycle is achieved iff log2 ( multiplier ) and # log2 ( dimension _ size ) are relatively prime. we choose the biggest such # number smaller than sqrt ( dimension _ size ). for i in range ( n / ...
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def _ glm _ l1 _ propagate _ return ( l1 _ block, task _ name, reference _ image, logger ) : assert l1 _ block [ " fsfprototype " ] = = " set prototype path " assert l1 _ block [ " imageexcludelist " ] = = " " assert l1 _ block [ " imageincludelist " ] = = " " assert task _ name = = " set task name " assert reference _...
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def create _ connection ( self ) : try : connection = sqlite3. connect ( self. db _ file ) logger. info ( " connected to database successfully " ) return connection except error as e : logger. error ( " connect failed " ) return none
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def encode ( self, inputs, categories, attention _ bias, training ) : with tf. name _ scope ( " encode " ) : attention _ bias = tf. cast ( attention _ bias, self. params [ " dtype " ] ) encoder _ inputs = inputs if training : encoder _ inputs = tf. nn. dropout ( encoder _ inputs, rate = self. params [ " layer _ postpro...
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def recursive _ map ( value, func ) : if isinstance ( value, tuple ) : return tuple ( recursive _ map ( v, func ) for v in value ) if isinstance ( value, list ) : return list ( recursive _ map ( v, func ) for v in value ) if isinstance ( value, dict ) : return dict ( [ ( k, recursive _ map ( v, func ) ) for k, v in vie...
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def chunked ( cls, iterable, n, * args, * * kwargs ) : if hasattr ( iterable,'_ _ aiter _ _') : it = achunked ( iterable, n ) elif hasattr ( iterable,'_ _ iter _ _') : it = chunked ( iterable, n ) else : raise typeerror ( f'{ iterable! r } is not an iterable or an async - iterable') return cls ( it, * args, * * kwargs ...
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def get _ component ( self, component _ class ) : assert isinstance ( component _ class, type ) assert issubclass ( component _ class, component ) try : return self. _ components [ component _ class. unique _ id ( ) ] except keyerror : result = component _ class ( ) self. _ components [ component _ class. unique _ id (...
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def close _ connection ( self ) : try : self. db _ connection. close ( ) except exception : logging. error ( " something went wrong when tried to close connection " ) logging. error ( " { } : { } ". format ( sys. exc _ info ( ) [ 0 ], sys. exc _ info ( ) [ 1 ] ) ) logging. error ( " ". join ( traceback. format _ tb ( s...
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def cal _ prob ( evi, node ) : true _ flag = true # default = true when it's literal like c or notc # cal _ prob ( { }, ['1 ','2'] ) # [ 0. 48, 0. 32000000000000006, 0. 12, 0. 08000000000000002 ] all _ prime = [ ] for x in l. keys ( ) : if int ( x ) < = node : all _ prime. append ( l [ x ] ) # here should have all the ...
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def getgriddatasetmetas ( self ) : return self. griddatasetmetas
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def load _ config ( file _ name : str ) - > configuration : config _ path = os. path. join ( _ dir _ path, " test _ data ", file _ name ) return configuration. from _ yaml ( config _ path )
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def query _ all _ pts ( observation _ window _ hours ) : query = " " " with admissions as ( select admits. subject _ id, admits. hadm _ id, admits. admittime, admits. deathtime, ( admits. admittime + interval % ( time _ window _ hours ) s hour + interval'1'hour ) charttime, ( admits. admittime + interval % ( time _ win...
[ -0.1933455616235733, 0.1498725861310959, 0.6281234622001648, -0.2586717903614044, -0.6088468432426453, 0.547515869140625, 0.05508757010102272, -0.7490876913070679, 0.11572833359241486, 0.6410018801689148, 0.7433170676231384, 1.018178105354309, -0.25334206223487854, 0.7218703627586365, -0...
def space _ group ( self ) : return crystal. sgtbx. space _ group ('p1')
[ 1.0276564359664917, 1.5267232656478882, 0.11785703897476196, 0.3585211932659149, -0.7659947872161865, 1.739720344543457, 0.07008030265569687, -0.0052435435354709625, -0.05372472107410431, -0.0610697977244854, 0.4204881489276886, 0.5878791213035583, -0.31070271134376526, 0.52834552526474, ...
def get _ user _ rankings ( self, request ) : users = user. query ( ). order ( - user. win _ ratio ) return rankforms ( items = [ user. rank _ form ( ) for user in users ] )
[ -0.6185532212257385, 0.5480419993400574, 0.4010729193687439, 0.9437589049339294, -0.1341702938079834, -0.2892899811267853, -0.050909917801618576, -0.5840352773666382, -0.1462775319814682, -0.6929603219032288, -0.3270169496536255, 0.10912522673606873, 0.2595159709453583, 0.13431225717067719...
def createentitylistfromresponse ( self, response, detail ) : thelist = [ ] data = response [ " images " ] for jsonobj in data : img = image ( " " ) img. initfromresultdict ( jsonobj ) thelist. append ( img ) return entitylist ( thelist, detail, self )
[ -0.6343629956245422, -1.055414080619812, 0.2973674535751343, -0.702854573726654, 0.5769870281219482, -0.2832874655723572, -0.17143680155277252, 0.8552715182304382, 1.234252691268921, 0.17436034977436066, -0.6689206957817078, -0.7040350437164307, 0.5093550086021423, 1.047371506690979, -0....
def test _ stateless _ result _ raises _ on _ state _ access ( self ) : result = result ( np. array ( [ [ 1, 2 ], [ 3, 4 ] ] ), is _ stateful = false ) with pytest. raises ( attributeerror, match = " the state is undefined for a stateless computation. " ) : result. state
[ 0.4963967204093933, 0.5729318857192993, 0.33243289589881897, 0.13472160696983337, 0.03195757418870926, -0.4177370071411133, 0.43391552567481995, -0.36231979727745056, -0.045818835496902466, -0.3733617961406708, -0.374462753534317, 0.10791949927806854, 0.3037526607513428, 0.5917448997497559...
async def edit _ message ( self :'telegramclient ', entity :'typing. union [ hints. entitylike, types. message ] ', message :'hints. messagelike'= none, text : str = none, *, parse _ mode : str = ( ), attributes :'typing. sequence [ types. typedocumentattribute ]'= none, formatting _ entities : typing. optional [ typin...
[ -0.6432633996009827, 0.23848359286785126, 0.8530973792076111, -0.09832911193370819, 0.2637380063533783, -0.14135389029979706, 0.13492538034915924, 0.1429067850112915, -0.04938900098204613, -0.395499050617218, 0.22486503422260284, 1.133090615272522, -0.27708303928375244, 0.4630632698535919,...
def city _ by _ country ( country ) : # perform the sql query query = db. session. query ( globaltemperaturebymajorcity. city ). filter ( globaltemperaturebymajorcity. country = = country ). group _ by ( globaltemperaturebymajorcity. city ). order _ by ( globaltemperaturebymajorcity. city ) cities = [ row. city for row...
[ 0.037996988743543625, 0.09070734679698944, 0.6750444769859314, -0.4683138430118561, -0.6629136204719543, -0.13850553333759308, 0.4082717299461365, 0.4227977991104126, -0.6165704131126404, 1.3375409841537476, -0.5638316869735718, -0.6849440336227417, -0.9276992678642273, 0.7431497573852539,...
def run ( self, args ) : instance _ ref = args. concepts. instance. parse ( ) client = filestore _ client. filestoreclient ( self. _ api _ version ) labels _ diff = labels _ util. diff. fromupdateargs ( args ) orig _ instance = client. getinstance ( instance _ ref ) try : if args. file _ share : client. makenfsexportop...
[ -0.38220739364624023, -0.3844417631626129, 0.8245096802711487, -0.5195943117141724, -0.062006670981645584, 0.21839004755020142, 0.19860710203647614, 0.13022767007350922, 0.04895606264472008, 0.6898571252822876, 0.00768998684361577, -0.13957615196704865, -0.8076611161231995, -0.145019590854...
def enabled _ in _ conf ( self ) - > bool : return self. _ conf. enabled
[ 0.1343296468257904, -0.549609899520874, 0.2834368944168091, 0.28848257660865784, 0.053888674825429916, 0.36337071657180786, -0.11111132055521011, 1.5625, -0.6007760763168335, 0.42320799827575684, -1.049562692642212, -0.00824128556996584, -0.9218129515647888, 0.2128829061985016, -0.001094...
def prepare _ msg _ recv _ return ( state, lifecycle _ cmd _ id, invoke _ cmd _ id, param _ types, params ) : state. globals [ " lifecycle _ cmd _ id " ] = lifecycle _ cmd _ id state. globals [ " invoke _ cmd _ id " ] = invoke _ cmd _ id shm _ params _ memref = state. mem [ securestorage. shared _ mem _ base ]. tc _ ns...
[ -0.10007990151643753, -0.25193721055984497, 0.6840167045593262, -0.6329033374786377, 0.5113487839698792, -0.11046025156974792, 0.6911701560020447, -0.21558985114097595, 0.41953298449516296, 0.22465874254703522, -0.36012154817581177, 0.37655338644981384, -0.06706702709197998, 0.917433440685...
def deletematches ( ) : # simple statement. query = " delete from scores ; " connect ( query )
[ 0.8684184551239014, 0.03508111834526062, 0.5147258639335632, 1.0135241746902466, 0.34885191917419434, 0.2861746549606323, 0.8336294293403625, 0.12551189959049225, -0.014167804270982742, 0.17692694067955017, -0.2605803608894348, -0.9172345995903015, -1.0124785900115967, -0.7706605792045593,...
def instrumentlist ( excludes = [ ] ) : instruments = { } from.. instruments import _ _ all _ _ as all _ instruments for f in all _ instruments : if f = = " _ _ init _ _ " : continue module = importlib. import _ module ( ". instruments. " + f, " stips " ) for name, obj in inspect. getmembers ( module ) : if inspect. is...
[ -0.8195611834526062, -0.6229978203773499, 0.8364484906196594, -0.31899628043174744, -1.7086405754089355, 0.6750708222389221, 0.2285783886909485, 0.13939116895198822, -0.13322186470031738, 0.6017330288887024, -0.5871126651763916, -0.22773568332195282, -0.44557827711105347, 0.674237430095672...
def exists ( path ) : try : posix. stat ( path ) except posix. error : return false return true
[ 0.17124155163764954, -0.182064950466156, 0.5092424750328064, -0.07419063150882721, 0.2121795415878296, 1.040998101234436, -0.9205648899078369, 0.3758600950241089, -0.4688974618911743, -0.9276771545410156, -0.06896693259477615, -1.2119990587234497, 0.22388455271720886, -0.2407943606376648, ...
def _ _ channel _ conv ( self, feature _ map, kernel ) : # conv for each dimension conv = np. sum ( [ self. _ _ conv2d ( feature _ map [ :, :, i ], kernel [ :, :, i ] ) for i in range ( self. previous _ channels ) ], axis = 0 ) return conv
[ -0.21604201197624207, -0.4914330542087555, 0.6063469648361206, -0.04793962091207504, 0.11810038238763809, -0.7155736088752747, -0.053188156336545944, 0.41784268617630005, -1.2588735818862915, 0.42677515745162964, 0.431698739528656, 0.442474901676178, 0.32390886545181274, 0.2993676066398620...
def vocabcoursetype ( self ) : return course _ type
[ -0.005583159159868956, -0.41680845618247986, 0.35007208585739136, 0.5120329856872559, 1.4338643550872803, 0.40720078349113464, 0.38634976744651794, -0.8774766325950623, 1.0745575428009033, 0.5297686457633972, -0.2561661899089813, 0.7012559771537781, -0.32445335388183594, 0.3944196105003357...
def true _ angle ( self ) : return self. angle
[ -0.0400235652923584, 0.17125625908374786, 0.36895227432250977, -0.31024032831192017, 0.0030357588548213243, 0.7099176049232483, -0.03709939122200012, 1.001692533493042, 0.19786159694194794, 0.5852184295654297, 0.03912504389882088, -0.3319084942340851, -1.0272401571273804, -0.91993886232376...
def winning _ configuration ( self, player ) : if self. game _ over ( ) : if self. winner = = player : return 1 else : return - 1 if len ( self. expand _ states ( ) ) = = 0 : if self. player _ to _ move = = player : return - 1 else : return 1 return 0 if np. sum ( self. board = = player ) + self. cows [ player - 1 ] or...
[ -1.4578981399536133, 0.5083594918251038, 0.7971721887588501, 0.5669968128204346, -0.5858359932899475, -0.1774781495332718, 0.9980172514915466, 0.023483319208025932, -0.11132758110761642, 0.5129768252372742, 0.000296453625196591, -0.9779186248779297, -0.17238004505634308, 0.0741096138954162...
def conv3x3 ( in _ planes, out _ planes, stride = 1, groups = 1, dilation = 1 ) : return nn. conv2d ( in _ planes, out _ planes, kernel _ size = 3, stride = stride, padding = dilation, groups = groups, bias = false, dilation = dilation )
[ 0.751173198223114, 0.3234400451183319, 0.3745567500591278, 0.22451305389404297, -1.4694559574127197, 1.0457452535629272, -1.1139520406723022, -0.011763549409806728, -0.16540075838565826, 0.5452169179916382, 0.19115522503852844, -0.020335013046860695, -0.13911305367946625, -1.17195165157318...
def to _ ipc ( self, file : union [ binaryio, str, path ] ) : if isinstance ( file, path ) : file = str ( file ) self. _ df. to _ ipc ( file )
[ -0.686934232711792, 0.21934273838996887, 0.34171104431152344, -0.2509296238422394, 0.290738582611084, -0.5171917080879211, 0.5119313597679138, 0.1140948235988617, -1.1546776294708252, -0.24034333229064941, 0.2787151634693146, 0.5263352990150452, -0.5591199994087219, -0.9488739371299744, ...
def test _ match _ only _ searches _ after _ position ( self, basic _ logfile ) : matcher = logmatcher ( log _ path = basic _ logfile ) second _ string = re. compile ( r " second " ) match = matcher. match ( regex = second _ string ) # it should find this string. assert match is not none assert match. group ( 0 ) = = "...
[ 1.2473528385162354, 0.2735792398452759, 0.48254260420799255, 0.18288366496562958, 0.006692185532301664, 0.5533123016357422, -0.0370933972299099, -0.5502280592918396, -0.6570361256599426, -0.752720296382904, -0.5754438638687134, -0.42836135625839233, -0.20589247345924377, 0.0016072334256023...
def map _ moments ( circuit : circuit _ type, map _ func : callable [ [ ops. moment, int ], union [ ops. moment, sequence [ ops. moment ] ] ], ) - > circuit _ type : return _ create _ target _ circuit _ type ( ( map _ func ( circuit [ i ], i ) for i in range ( len ( circuit ) ) ), circuit )
[ -0.729493260383606, -0.09671468287706375, 0.5142682790756226, -0.2809962332248688, -0.35939839482307434, -0.38711410760879517, 0.23101074993610382, -0.3013113737106323, 0.7134717702865601, 0.14745479822158813, 0.01917720027267933, 0.8488485813140869, 0.3193482756614685, 0.46150660514831543...
def identify ( self, environ ) : request = request ( environ ) if self. _ is _ request _ to _ token _ url ( request ) : return self. _ process _ vep _ assertion ( request ) return self. _ identify _ oauth ( request )
[ -0.9041928052902222, -0.05018680915236473, 0.4351055324077606, 1.5814611911773682, 1.3535566329956055, -0.3268119990825653, -0.12093643844127655, -0.7742958664894104, 1.0557708740234375, -0.023729972541332245, 0.5527589917182922, 0.041295040398836136, -0.25343871116638184, 0.20813791453838...
def scene ( id, value ) : return put _ state ( id, { " scene " : value } )
[ -0.7671449184417725, 0.38863280415534973, 0.25998935103416443, -1.027847170829773, -0.06382644921541214, -0.39484256505966187, -0.9915874600410461, -0.2040385603904724, 0.7181795239448547, 0.40304067730903625, -1.0247676372528076, 0.18263988196849823, -0.34988337755203247, -0.7490183115005...
def mkdef ( n ) : return re. sub ( r'\ w ','_ ', n. upper ( ) )
[ -0.3719097077846527, 0.15630753338336945, 0.2641010284423828, -1.0901403427124023, -0.6327996253967285, -0.24952715635299683, -0.27375176548957825, -0.2338133454322815, -0.23476091027259827, -0.6600861549377441, -0.9242580533027649, -0.1332605481147766, 1.138791799545288, 0.573880076408386...
def _ caller _ name ( skip = 2 ) : stack _ list = stack ( ) start = 0 + skip if len ( stack _ list ) < start + 1 : return'' parentframe = stack _ list [ start ] [ 0 ] name = [ ] module = getmodule ( parentframe ) # ` modname ` can be none when frame is executed directly in console # todo ( techtonik ) : consider using ...
[ -0.6893007755279541, 0.029520761221647263, 1.1764863729476929, 0.4772954285144806, -0.6134938597679138, -0.25450313091278076, 0.6159344911575317, -0.8151835203170776, -0.07989107817411423, 0.5431175231933594, 0.11129800975322723, 0.013462322764098644, 0.3336462080478668, 0.8883388638496399...
def test _ profile _ returns _ email ( authn _ policy, user _ model ) : request = dummyrequest ( ) authn _ policy. authenticated _ userid. return _ value = " acct : foo @ bar. com " user _ model. get _ by _ userid. return _ value = fakeuser ( email = " foo @ bar. com " ) result = profilecontroller ( request ). profile ...
[ 0.4962174594402313, 0.2696665823459625, 0.17829662561416626, 0.17505614459514618, 0.19257402420043945, 0.8942602276802063, 0.2994881272315979, -0.6051154732704163, 0.04424421116709709, -0.24107913672924042, -0.788570761680603, 0.23607002198696136, -0.3342583179473877, -1.0341757535934448, ...
def load _ config ( config _ path = ". / config / config. yml " ) : with open ( config _ path ) as f : config = yaml. safe _ load ( f ) return config
[ 0.5428346991539001, -0.5600546598434448, 0.16210554540157318, 0.20741406083106995, -0.8652791380882263, -0.29481908679008484, 0.1904219388961792, 0.7726847529411316, -0.0597665049135685, 0.7259442806243896, -0.8519009351730347, -0.05879596993327141, -0.055258940905332565, 0.223625078797340...
def find _ packages ( path, base = " " ) : packages = { } for item in os. listdir ( path ) : dir = os. path. join ( path, item ) if is _ package ( dir ) : if base : module _ name = " % ( base ) s. % ( item ) s " % vars ( ) else : module _ name = item packages [ module _ name ] = dir packages. update ( find _ packages (...
[ -0.4215586185455322, -0.0971992239356041, 0.626866340637207, 0.1324215531349182, -0.5846782326698303, -0.7525149583816528, 0.22769711911678314, -0.8701490163803101, 0.17893913388252258, 0.19406715035438538, -0.9928097724914551, -0.8030957579612732, -0.020795507356524467, 1.1222633123397827...
def get _ parameter _ names ( self, target _ scale : str ='prior') : parameter _ df = petab. normalize _ parameter _ df ( self. petab _ problem. parameter _ df ) # scale if target _ scale = = c. lin : target _ scales = { key : c. lin for key in self. prior _ scales } elif target _ scale = ='prior': target _ scales = se...
[ -1.063002109527588, -0.7505655884742737, 0.9169690012931824, -0.5356225371360779, 0.057103224098682404, -0.16218703985214233, -1.0557221174240112, -0.7499223947525024, -0.8582795262336731, 1.4553008079528809, 0.2742253541946411, 0.3542531132698059, 0.3144112527370453, 0.7770985960960388, ...
def from _ dict ( cls, dikt ) - >'weather': return deserialize _ model ( dikt, cls )
[ -0.6102975606918335, -0.012422097846865654, 0.18227222561836243, -0.6756706237792969, -1.0211818218231201, 0.7032980918884277, -0.4305698871612549, 0.3101527690887451, 0.0993245467543602, -0.38773202896118164, -0.32161325216293335, -1.0149866342544556, 0.4270815849304199, -0.26013135910034...
def _ _ exit _ _ ( self, type _, value _, trackback _ ) : self. connection. close ( )
[ -0.3407544791698456, -0.7768412232398987, 0.7040072679519653, 0.2288220226764679, -0.24043519794940948, 0.480545312166214, 0.5261805057525635, -0.7099284529685974, -1.0724982023239136, 0.17512699961662292, 0.6529679298400879, -0.32186177372932434, -0.5251002311706543, 0.44176051020622253, ...
def setschemaidexcludelist ( self, schemaidlist ) : try : self. _ _ schemaidexcluded = { sid : true for sid in schemaidlist } return true except exception as e : logger. exception ( " failing with % s ", str ( e ) ) return false
[ -0.9199910759925842, 0.44371360540390015, 0.4835375249385834, -0.03208145126700401, -1.1403453350067139, 1.0801670551300049, -0.359662264585495, 0.5131425857543945, 1.1222206354141235, 0.5367128849029541, -1.7425165176391602, -0.5386029481887817, -1.9024384021759033, 0.6192836165428162, ...
def injuries ( self, content, season, week ) : players = [ ] away _ patt = re. compile ( r " dataaway. *? ( \ [. *? \ ] ) ; ", re. multiline | re. ignorecase | re. dotall ) home _ patt = re. compile ( r " datahome. *? ( \ [. *? \ ] ) ; ", re. multiline | re. ignorecase | re. dotall ) awayabbr _ patt = re. compile ( r "...
[ -0.7443180084228516, -0.38406118750572205, 0.9307144284248352, -0.9941875338554382, -0.018323570489883423, -0.781306803226471, 0.3147335946559906, 0.004896806553006172, 0.5825091600418091, 1.0199556350708008, 0.39196041226387024, 0.271157830953598, 0.20290233194828033, -0.6214955449104309,...
def get _ by ( self, layer _ name ) : # se definie el query de la consulta. sql _ string = " " " select id _ muestra, layer _ name, fecha from layers where layer _ name = % ( layer _ name ) s " " " print layer _ name # se construye el diccionario que contiene los parametros del query. cursor = self. db. query ( sql _ s...
[ -0.30602797865867615, 0.12497185915708542, 0.39011043310165405, -0.01174109522253275, -0.8960449695587158, -0.6025367975234985, -0.6298540830612183, -0.49410223960876465, -1.1425533294677734, 0.5094205141067505, -0.0933222696185112, -0.02210410311818123, -0.5605521202087402, 0.867374002933...
def get _ derivatives ( independent _ param, fun ) : # define a sympy symbol. " " " defining a sympy symbol will be useful to tell the function with respect to which parameter should the function compute the derivative. " " " sym _ ind _ param = sp. symbol ( independent _ param ) # transform the string with the functio...
[ 0.18338963389396667, 0.1646673083305359, 0.70674729347229, 0.09286649525165558, 0.3138746917247772, -0.35089752078056335, -0.22550885379314423, 0.5717145800590515, -0.38132771849632263, -0.30217042565345764, -0.4910944104194641, 1.3898358345031738, -0.028771061450242996, 0.2872028350830078...
def get _ ring _ coords ( resn _ list, matrix, chain, model ) : matrix _ coords = [ ] for state in range ( 1, cmd. count _ states ( ) + 1 ) : coords = [ ] for i, resi in enumerate ( resn _ list ) : stored. coords = [ ] try : cmd. iterate _ state ( state,'model % s and chain % s and resi % s and name % s'% ( model, chai...
[ -0.7042988538742065, -0.21716414391994476, 0.39162153005599976, 0.2150477170944214, 0.8891114592552185, -0.26461061835289, 0.41356557607650757, -0.2550378739833832, -0.13440439105033875, -0.0626756101846695, -0.7861536145210266, -1.1236449480056763, -0.44369813799858093, -0.078436888754367...
def filter _ from _ errors ( self ) : # real signature unknown ; restored from _ _ doc _ _ pass
[ 0.022283559665083885, -0.011098260059952736, 0.319540411233902, 0.5174165964126587, -0.7416896224021912, 0.9206061959266663, 0.7541268467903137, -0.3112260699272156, 0.5781616568565369, -0.8314950466156006, 0.10996206849813461, 0.10043803602457047, -0.5345126390457153, 0.04257223755121231,...
def cat _ multi _ encode _ onerow ( self, data, var, regroup _ dict ) : def find _ newcat ( category, dict ) : for key, value _ lst in dict. items ( ) : if category in value _ lst : return key else : # print ('cannot find the \'{ } \'in the value list \'{ } \ '! '. format ( category, value _ lst ) ) pass cat _ lst = da...
[ -1.1215288639068604, 0.6497930884361267, 0.4845217764377594, -0.10943680256605148, 0.06919967383146286, -1.0167982578277588, -0.15514561533927917, -0.22377121448516846, -0.369134783744812, -0.10667530447244644, 0.03546074777841568, 0.19937664270401, 0.08193007111549377, 0.9750245809555054,...
def promjeni _ marker _ stil ( self ) : marker = self. combomarkerstil. currenttext ( ) msg ='zahtjev za promjenom stila markera. novi stil = { 0 } '. format ( str ( marker ) ) logging. debug ( msg ) self. defaultgraf [ 4 ] = marker
[ -0.6027113795280457, -0.060979388654232025, 0.21881061792373657, 0.5688983201980591, 0.2544679343700409, -0.1323409378528595, 1.6272881031036377, 0.7624998092651367, -0.7933290004730225, 0.2565622329711914, -0.9113147854804993, 0.5436913371086121, -0.6336943507194519, 0.9707499742507935, ...
def _ _ iter _ _ ( self ) : yield self. r yield self. g yield self. b
[ -0.5272574424743652, -0.13208337128162384, 0.38907429575920105, -0.8083372712135315, 0.811332643032074, 0.4579754173755646, 0.5092342495918274, -1.4095228910446167, -0.5340460538864136, -0.4704364836215973, 0.35501015186309814, 0.03407357633113861, -0.5155820846557617, -0.1654234528541565,...
def get _ cv _ tbest ( args, clip, r, score ) : c = args. clip _ y [ clip ] a _ cv = r ['train _ mode'] # mean across folds t _ cv = np. mean ( a _ cv ['t _ train _ % s'% score ] [ c ], axis = 0 ) v _ cv = np. mean ( a _ cv ['t _ val _ % s'% score ] [ c ], axis = 0 ) if score = ='mse': tbest = np. argmin ( v _ cv ) els...
[ -0.4833396077156067, -0.5285745859146118, 0.705316424369812, -0.03326045721769333, -0.10577191412448883, 0.0578630194067955, 0.33712083101272583, -0.19402854144573212, -0.3656252324581146, 1.601327896118164, 0.4563426971435547, -0.07875698059797287, 1.0478887557983398, -0.5877425074577332,...
def case14 ( ) : ppc = { " version " :'2'} # # - - - - - power flow data - - - - - # # # # system mva base ppc [ " basemva " ] = 100. 0 # # bus data # bus _ i type pd qd gs bs area vm va basekv zone vmax vmin ppc [ " bus " ] = array ( [ [ 1, 3, 0, 0, 0, 0, 1, 1. 06, 0, 0, 1, 1. 06, 0. 94 ], [ 2, 2, 21. 7, 12. 7, 0, 0, ...
[ 0.8357197046279907, -0.7673764824867249, 1.5311999320983887, 0.23481854796409607, -0.33629053831100464, -0.10814458131790161, 1.193315863609314, 0.2089938372373581, -0.03528720885515213, 0.2169933021068573, -0.061928585171699524, 0.27986958622932434, -0.10659589618444443, 0.314943909645080...
def rank ( self ) : # request ranking for given year, isolate conference and ranking, and reformat conference into # abbrev format. url ='https : / / www. sports - reference. com / cfb / years / { }. html '. format ( self. year1 ) rank = pd. read _ html ( url ) [ 0 ] rank. columns = rank. columns. get _ level _ values ...
[ -1.1249830722808838, 0.6020957827568054, 0.5374911427497864, 0.028875499963760376, 0.7358623743057251, -0.3697715997695923, 0.1565273106098175, 0.14115414023399353, -0.3010377585887909, 0.23150873184204102, 0.4139569401741028, 1.0007929801940918, -0.332978755235672, -0.47102129459381104, ...
def _ global _ batch _ size ( self ) : return false
[ -0.15215127170085907, 0.9289780855178833, 0.4835314452648163, 1.1413516998291016, -0.33243781328201294, 1.7146111726760864, 0.8394910097122192, 0.5376318097114563, -0.8248403072357178, -0.3719356954097748, -1.4266682863235474, 0.21576516330242157, -1.1897180080413818, 0.8833646178245544, ...
def compute _ pressure ( self ) : pressure = self. pressure _ sl * ( self. compute _ temperature ( ) / \ self. temperature _ sl ) * * ( - self. g / ( self. r * self. a ) ) return pressure
[ 0.4580678343772888, -0.3781660497188568, 0.18146467208862305, -0.34718069434165955, 0.30172231793403625, 0.0894957110285759, 0.47231850028038025, 0.515996515750885, 0.018007146194577217, 1.2561132907867432, 0.5651523470878601, -0.3348584771156311, -1.1629507541656494, -0.03672308102250099,...
def descendent _ by _ id ( self, childid ) : for child in self. children : if child. id = = childid : return child child = child. descendent _ by _ id ( childid ) if child is not none : return child
[ 1.7373331785202026, -0.48181357979774475, 0.5424569249153137, 0.5567016005516052, -0.5509024262428284, -0.7386135458946228, 0.15011844038963318, -0.645322859287262, -0.03361721336841583, -0.1961575448513031, -0.5223215818405151, 0.15381242334842682, -0.19080659747123718, 0.7863905429840088...
def add _ aliases ( self, alias, original ) : for name, data in list ( self. _ raw. items ( ) ) : if name. endswith ( original ) : self. _ raw [ name. replace ( original, alias ) ] = data
[ -0.49166807532310486, -0.26424089074134827, 0.5215232968330383, -1.0940605401992798, -1.228467583656311, 0.4886389374732971, -1.7322441339492798, 1.4547384977340698, -1.028308629989624, 0.23307214677333832, -0.8401322960853577, 0.8045285940170288, 0.40643230080604553, 0.25473955273628235, ...
def _ unmangle _ name ( mangled _ name, class _ name ) : return mangled _ name. replace ( " _ % s " % class _ name. lstrip ('_'), " " )
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def make _ idx _ data ( revs, word _ idx _ map, maxlen = 120 ) : x _ train, x _ test, x _ dev, y _ train, y _ dev, = [ ], [ ], [ ], [ ], [ ] for rev in revs : sent = get _ idx _ from _ sent ( rev ['text'], word _ idx _ map ) y = rev ['y'] if rev ['split'] = = 1 : x _ train. append ( sent ) y _ train. append ( y ) elif ...
[ -0.8613452315330505, 0.2132306694984436, 0.5706827044487, -0.7825340032577515, -0.36572927236557007, -0.059334393590688705, -0.013154195621609688, 0.34531980752944946, 0.23516888916492462, 0.09519591927528381, 0.11407945305109024, 0.5796458721160889, -0.015057472512125969, -0.7043717503547...
def add _ end ( station, year, df ) : ffname = get _ filename ( station, year, 1 ) heads = df. columns. tolist ( ) clength = len ( heads ) dframe = pd. dataframe ( np. array ( [ ['end _ of _ yearly _ data'] * clength, ['-'] * clength, [ months [ 0 ] ] * clength ] ), columns = heads ) dframe = dframe. append ( pd. read ...
[ -0.18827247619628906, 0.028642786666750908, 0.9194123148918152, 0.1734829545021057, 0.1307307481765747, 0.4286334216594696, -0.26460808515548706, 0.193243607878685, -0.3184049725532532, -0.004561331123113632, 0.773517906665802, 0.4074286222457886, 0.08195478469133377, 0.0303107351064682, ...
def temperature _ by _ city _ country ( city, country, period ) : # perform the sql query query = db. session. query ( globaltemperaturebymajorcity. date, func. avg ( globaltemperaturebymajorcity. land _ average _ temperature ). label ('avg _ temperature') ). filter ( globaltemperaturebymajorcity. city = = city and glo...
[ -0.11497852951288223, -0.11044968664646149, 0.5323823690414429, -0.13912402093410492, -0.9915859699249268, -0.24374441802501678, -0.07121078670024872, 0.6682530641555786, -1.1788238286972046, 1.7602447271347046, 0.024540061131119728, 0.32289454340934753, -0.22705306112766266, 0.75422674417...
def type _ handlers ( ) : return [ snowflakepandastypehandler ( ), snowflakepysparktypehandler ( ) ]
[ 0.33925455808639526, 0.1406065970659256, 0.3975774049758911, 0.9961491227149963, 0.4957243502140045, 0.4359670579433441, 0.44846591353416443, -0.43309444189071655, 0.09344035387039185, -0.2427869290113449, -1.279427409172058, 0.4954574406147003, -0.08523941040039062, -0.13933366537094116, ...
def comment ( id, * * repeatable ) : res = idaapi. get _ struc _ cmt ( id, repeatable. get ('repeatable ', true ) ) return utils. string. of ( res )
[ -1.0096843242645264, -0.34792670607566833, 0.48385560512542725, -0.7863080501556396, 0.06255117058753967, -0.7863441705703735, 0.42004624009132385, -1.0129716396331787, -0.2654918432235718, 0.44111719727516174, -0.5797492861747742, -0.14562863111495972, -0.30959850549697876, -0.97364044189...
def get _ grouped _ tweets ( self, cinema _ run = false, critical _ period = false, group _ size = 3 ) : # get tweets according to timeframe tweets = self. get _ geotweets _ by _ dates ( ) if cinema _ run else database _ helper. select _ geo _ tweets ( self. movieid ) tweets = database _ helper. select _ geo _ tweets (...
[ -0.6154420971870422, 0.7638434171676636, 0.4673914909362793, -1.4750466346740723, -0.25721120834350586, 0.16583120822906494, 0.3720441162586212, -0.42949068546295166, -0.7472594380378723, 0.7534130811691284, 0.7115750312805176, 0.7321352362632751, 0.1477573961019516, 0.34458184242248535, ...
def with _ columns ( self, exprs : " list [ expr ] " ) - > " dataframe " : return ( self. lazy ( ). with _ columns ( exprs ). collect ( no _ optimization = true, string _ cache = false ) )
[ -0.20327652990818024, 0.5184727907180786, 0.3452146351337433, -0.21659094095230103, -0.16532205045223236, -1.3709492683410645, -0.24084870517253876, -0.45572760701179504, -0.8240807056427002, -0.3263978958129883, -0.28059157729148865, 0.36607372760772705, 0.20694877207279205, -0.7172874212...
def _ _ init _ _ ( self, outputs _ folder = ". / outputs ", ssim _ basic = 1. 0, format _ image = " png ", tesseract _ path = r " c : \ program files \ tesseract - ocr \ tesseract. exe ", ) : super ( ). _ _ init _ _ ( outputs _ folder, ssim _ basic, format _ image, tesseract _ path )
[ 0.6647093892097473, -0.635384738445282, 0.5302019119262695, 1.1663559675216675, -0.6567604541778564, -0.38829946517944336, 0.6451126933097839, 0.39175209403038025, -0.09185600280761719, -0.48568058013916016, 0.7973117232322693, -0.29034218192100525, 1.0143921375274658, 0.08004047721624374,...
def optimizealignment ( self, maxiterations = 50, runs = 3 ) : print ( " start finding motif " ) # initlialiser la valeur de f et la liste des positions bestf = 0 beststartingpos = [ ] # boucle mere for m in range ( runs ) : # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #...
[ 0.5225460529327393, -0.06654803454875946, 0.9412748217582703, -0.8318548798561096, -0.10158978402614594, -0.31602686643600464, 0.38926243782043457, 0.3116755485534668, -0.7440787553787231, 0.4049341678619385, -0.338437557220459, -0.3710996210575104, -0.6268556714057922, 0.40634337067604065...
def write _ to _ netcdf ( lon1, lat1, dep1, vs3d, vp3d, rho3d, output _ path ) : with dataset ( output _ path,'w') as f : f. createdimension ('depth ', len ( dep1 ) + 1 ) f. createdimension ('latitude ', len ( lat1 ) ) f. createdimension ('longitude ', len ( lon1 ) ) longitude = f. createvariable ('longitude ','f4 ', (...
[ 0.12504814565181732, -0.2483547478914261, 0.8897472620010376, -0.5277099609375, 0.525618851184845, 0.6167325377464294, 0.2745889723300934, 0.15066596865653992, -0.6970663666725159, -0.47540482878685, -0.26494279503822327, 0.06747926771640778, 0.3456342816352844, 0.04869743064045906, -0.0...
def validatefusion ( filepath ) : print ( " validating fusion file " ) total _ error = " " warning = " " fusiondf = pd. read _ csv ( filepath, sep = " \ t ", comment = " # " ) fusiondf. columns = [ col. upper ( ) for col in fusiondf. columns ] required _ headers = ['hugo _ symbol ','entrez _ gene _ id ','center ','tumo...
[ -0.3685961663722992, -0.5452868342399597, 0.8407838940620422, 0.10046544671058655, 0.0278888251632452, -0.24089351296424866, -0.0640154480934143, 0.6707955002784729, -0.8491507768630981, -0.14680266380310059, -0.2958579659461975, 0.30996307730674744, 0.03691697120666504, 0.2987541854381561...
def test _ shift _ to _ rest _ galaxy ( ) : z = 5 rest _ line _ wls = [ 5007, 6563 ] * u. angstrom observed _ spc = spectralcoord ( rest _ line _ wls * ( z + 1 ), redshift = z ) rest _ spc = observed _ spc. to _ rest ( ) # alternatively : # rest _ spc = observed _ spc. with _ observer ( observed _ spec. target ) # alth...
[ 0.07294211536645889, -0.10570409893989563, 0.652651846408844, -0.14447246491909027, 0.48924729228019714, 0.3458227813243866, 0.771847665309906, -0.3418640196323395, 0.5868416428565979, -1.077760100364685, -0.1972050666809082, 0.40529537200927734, -0.3498601019382477, 0.5543199777603149, ...
def patch ( self, request, pk = none ) : return response ( {'method':'patch'} )
[ -0.7202746272087097, -0.3526603877544403, 0.3401101231575012, -0.5227766036987305, -0.35765570402145386, -0.008082614280283451, 0.138101726770401, 0.35754284262657166, 0.9455353021621704, -0.665023922920227, 0.2722776532173157, -0.4006735384464264, -0.3407483398914337, 0.04139667749404907,...
def test _ get _ _ not _ author ( self ) - > none : self. client. force _ login ( self. other _ user ) response = self. client. get ( reverse ('question - update ', kwargs = dict ( pk = self. question. pk ) ), ) assert httpstatus. forbidden = = response. status _ code
[ -0.15651755034923553, -0.05734249949455261, 0.49118009209632874, 1.3404572010040283, -0.2118866890668869, 1.3983933925628662, -0.02528311312198639, -0.9420239329338074, 0.013209355063736439, -0.6807746291160583, 0.609504222869873, 0.17269638180732727, -0.1854242980480194, -0.45533227920532...
def numatoms ( self ) : return self. _ traj. numatoms ( )
[ -0.3421488404273987, 0.40637174248695374, 0.3732573688030243, -0.18636371195316315, 0.36018458008766174, 0.12172020971775055, 0.5849060416221619, 0.12098689377307892, 0.18204805254936218, -0.7859968543052673, -0.667251467704773, -0.5032113790512085, 1.1253353357315063, -0.18528150022029877...