text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def load _ weighted _ knowledge _ base ( file _ path ) : with open ( file _ path ) as kb _ file : line _ regexp = re. compile ('\ d + (? : \. \ d + )? \ s + (? : ( -? \ d + ) \ s + ) + 0') separator _ regexp = re. compile ('\ s +') weighted _ clauses = [ ] for line in kb _ file : line = line. strip ( ) if not line or l... | [
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def get _ project _ sample _ ids ( self, sample _ prj ) : self. log. debug ( " retrieving sample ids subset by sample _ prj'{ }'". format ( sample _ prj ) ) sample _ ids = [ self. name _ proj _ view [ k ]. id for k in self. name _ proj _ view. keys ( ) if self. name _ proj _ view [ k ]. value = = sample _ prj ] return ... | [
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def test _ single _ survey _ package _ success ( self, client, all _ survey _ packages ) : package = client. single _ survey _ package ( " 71c01598 - 4682 - 4a4c - 90e6 - 69c0bd38ea47 " ) assert package = = self. test _ survey _ package | [
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def send _ document ( self, context, file _ path ) : with open ( file _ path, " rb " ) as document : data = { " chat _ id " : context [ " from " ] [ " id " ] } file = { " document " : document } requests. post ( url = self. get _ url ( method = " senddocument " ), data = data, files = file ) self. database. inc _ stat ... | [
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def to _ dict ( self, batch _ size : optional [ int ] = none, batched : bool = false ) - > union [ dict, iterator [ dict ] ] : if not batched : return query _ table ( table = self. _ data, key = slice ( 0, len ( self ) ), indices = self. _ indices if self. _ indices is not none else none, ). to _ pydict ( ) else : batc... | [
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def fit ( train _ set, train _ labels, dev _ set, n _ iter, batch _ size = 100 ) : # initialize variables losses = [ ] lrate = 1 insize = len ( train _ set [ 0 ] ) outsize = 5 net = neuralnet ( lrate, nn. crossentropyloss ( ), insize, outsize ) # standardize data sample _ mean = train _ set. mean ( ) std = train _ set.... | [
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def count ( iterable : iterable ) - > int : return sum ( 1 for _ in iterable ) | [
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def get _ layer _ size ( self ) : return self. biases ( ). shape [ 0 ] | [
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def rsum ( n ) : if len ( n ) = = 1 : return n [ 0 ] elif len ( n ) = = 0 : return 0 else : return n [ 0 ] + n [ - 1 ] + rsum ( n [ 1 : - 1 ] ) | [
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def toggles _ enabled _ for _ domain ( domain ) : return { toggle _ name for toggle _ name, toggle in all _ toggles _ by _ name ( ). items ( ) if toggle. enabled ( domain, namespace _ domain ) } | [
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def clean ( self ) : from akismet import akismet data = {'comment _ type':'comment ','referrer': self. request. meta. get ('http _ referer ','' ),'user _ ip': self. request. meta. get ('remote _ addr ','' ),'user _ agent': self. request. meta. get ('http _ user _ agent ','' ) } body = self. data. get ('body') blog _ ur... | [
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def metadata _ path ( * subdirs ) : paths = [ ] # highest priority is env if os. environ. get ( " elyra _ metadata _ path " ) : paths. extend ( p. rstrip ( os. sep ) for p in os. environ [ " elyra _ metadata _ path " ]. split ( os. pathsep ) ) # then user dir paths. append ( jupyter _ core. paths. jupyter _ data _ dir ... | [
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def _ update _ break _ state ( self ) : pass | [
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def test _ target _ packed ( ) - > none : test _ file = " tests / wf / scatter - wf4. json " exit _ code = main ( [ " - - target ", " out ", get _ data ( test _ file ), " - - inp1 ", " inp1 ", " - - inp2 ", " inp2 " ] ) assert exit _ code = = 0 | [
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def listexperimentsnames ( self ) : return [ x ['name'] for x in self. listexperimentsdescriptions ( ) ] | [
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def _ get _ ports _ from _ server _ list ( self, servers, neutron ) : def _ chunk _ by _ ids ( servers, limit ) : ids = [ ] for server in servers : ids. append ( server ['id'] ) if len ( ids ) > = limit : yield ids ids = [ ] if ids : yield ids # note : have to split the query up as the search criteria # form part of th... | [
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def best _ sample _ size ( pop, errprob, confidence = 0. 95 ) : sample _ size, best _ prob = none, none threshold = max ( 0, 1. - confidence ) mins, maxs = 1, pop while maxs - mins > 20 : size = max ( 1, int ( ( maxs + mins ) / 2. ) ) # print size,'\ t ', prob _ no _ error ( pop, errprob, size ) good = prob _ no _ erro... | [
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def test _ create _ new _ superuser ( self ) : user = get _ user _ model ( ). objects. create _ superuser ('test @ londonappdev. com ','test123') self. asserttrue ( user. is _ superuser ) self. asserttrue ( user. is _ staff ) | [
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def register ( request ) : return httpresponseredirect ( reverse ('auth _ login') ) | [
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def testdistancemodulus ( self ) : h0 = 73. 0 universe = cosmologyobject ( ) for om0 in numpy. arange ( start = 0. 15, stop = 0. 56, step = 0. 2 ) : for ok0 in numpy. arange ( start = - 0. 1, stop = 0. 11, step = 0. 2 ) : for w0 in numpy. arange ( start = - 1. 1, stop = - 0. 85, step = 0. 2 ) : for wa in numpy. arange ... | [
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def print _ results ( args ) : min _ comics, filename = args with codecs. open ( filename,'a ','utf - 8') as fp : for name, shortname in sorted ( load _ result ( json _ file ). items ( ) ) : if name in exclude _ comics : print ( " excluded " + name ) continue fp. write ( u " add ( % r, % r ) \ n " % ( str ( truncate _ ... | [
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def authenticaterequest ( self, request, service _ request, * args, * * kwargs ) : username = password = none if'credentials'in request. headers : cred = request. headers ['credentials'] username = cred ['userid'] password = cred ['password'] return self. gateway. authenticaterequest ( service _ request, username, pass... | [
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def get _ spark _ memory ( self ) : return os. environ. get ('max _ memory ','2') | [
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def gettoptenscoresforallminigames ( self, username = none ) : message = dict ( ) if username! = none and not ( self. checkuserexists ( username ) ) : message [ " success " ] = false message [ " error " ] = " username doesn't exist. " return ( json. dumps ( message ) ) cache _ select = " " " select * from geocache m " ... | [
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def get _ requests _ by _ uid ( self, uid : int ) - > list [ request ] : requests = [ ] data = self. get _ data ('''select * from request where uid = % s order by create _ date desc'' ', ( uid, ) ) for request in data : requests. append ( request ( request [ 0 ], request [ 1 ], request [ 2 ], request [ 3 ], request [ 4... | [
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def drawmatches ( image _ 1, image _ 1 _ keypoints, image _ 2, image _ 2 _ keypoints, matches ) : # compute number of channels. num _ channels = 1 if len ( image _ 1. shape ) = = 3 : num _ channels = image _ 1. shape [ 2 ] # separation between images. margin = 10 # create an array that will fit both images ( with a mar... | [
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def network _ interfaces ( self ) - > pulumi. output [ optional ['outputs. launchtemplatenetworkinterfaces'] ] : return pulumi. get ( self, " network _ interfaces " ) | [
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def get _ serializer _ context ( self ) : context = super ( ). get _ serializer _ context ( ) context ['include'] = getattr ( self. request,'jsonapi _ include ', ( ) ) return context | [
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def _ search ( self, data ) : if self. is _ empty ( ) : return self. head current = self. head while current is not none : if current. data = = data : return current. data current = current. next if current is none : return current return current. data | [
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def gettargetfile ( filename, target _ arch, target _ type ) : assert target _ type = = target _ type _ qemu or target _ type = = target _ type _ generic return os. path. join ( common. images _ root, target _ arch, target _ type, filename ) | [
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def _ exclude _ filter ( self, path : str ) - > bool : folder _ name = path ( path ). name for exclude _ folder in self. _ exclude _ folders _ filters : if fnmatch. fnmatch ( folder _ name, exclude _ folder ) : return true for service _ name in self. _ services _ names : if folder _ name = ='autotuned _ defaults': serv... | [
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def _ get _ collection _ folder ( self, folderid, page _ idx ) : return self. _ api ( f " / collections / { folderid } ", get _ data = { " username " : self. user, " offset " : page _ idx * daexplorer. max _ items _ per _ request, " limit " : daexplorer. max _ items _ per _ request, " mature _ content " : true } ) | [
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def to _ sql _ statement _ drop ( self, cascade = false ) : cascade = " cascade " if cascade else " " template = " { function _ name } ( { parameters } ) " result = parse ( template, self. signature, case _ sensitive = false ) try : function _ name = result [ " function _ name " ] parameters _ str = result [ " paramete... | [
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def anonymize _ annotator ( current _ annot _ ix ) : return " c " + str ( current _ annot _ ix + 1 ) | [
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def decline _ appointment ( request ) : if request. user. is _ stylist = ='yes': if request. method = ='post': appointment = appointment. objects. get ( pk = request. post. get ('appointment _ pk') ) appointment. status = appointment. status _ declined appointment. save ( ) return redirect ( request. meta. get ('http _... | [
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def itkimageserieswriterid3id2 _ cast ( * args ) : return _ itkimageserieswriterpython. itkimageserieswriterid3id2 _ cast ( * args ) | [
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def weight _ variable ( shape, name = none ) : initial = tf. truncated _ normal ( shape, stddev = 0. 1 ) if name = = none : return tf. variable ( initial ) return tf. variable ( initial, name = name ) | [
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def getdependencepercentagefeaturevalue ( self ) : raise deprecationwarning ('gldm - dependence percentage always computes 1,'' see http : / / pyradiomics. readthedocs. io / en / latest / removedfeatures. html for more details') | [
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def test _ 05 _ 4 _ days ( self ) : self. m _ schedule _ obj. dayofweek = dayofweek _ sunday l _ days = schedtime. _ extract _ days ( self. m _ schedule _ obj, t _ wednesday ) # print ( prettyformatany. form ( l _ days,'b1 - 05 - a - days') ) self. assertequal ( l _ days, 4 ) | [
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def test _ filter _ recipe _ by _ ingredients ( self ) : ingredient1 = sample _ ingredient ( user = self. user, name ='ingredient1') ingredient2 = sample _ ingredient ( user = self. user, name ='ingredient2') recipe1 = sample _ recipe ( user = self. user, title ='recipe1') recipe2 = sample _ recipe ( user = self. user,... | [
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def load _ container ( self, cont _ spec ) : self. init _ container ( cont _ spec ) | [
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def secretvalidfornextcache ( self, username, cache _ secret ) : message = dict ( ) if username! = none and not ( self. checkuserexists ( username ) ) : message [ " success " ] = false message [ " error " ] = " username doesn't exist. " return ( json. dumps ( message ) ) if self. lastlogbookentrybyuser ( username )! = ... | [
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def send _ quick _ pickup _ notice _ to _ ops ( booking _ id ) : from core. tasks import send _ async _ sms from core. models. booking import booking from core. models. master import notifications sms _ notice = notifications. objects. get ( name ='ops _ sms _ quick _ pickup _ scheduled') number _ to _ send _ to = sett... | [
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def dump _ iter _ to _ csv ( iterable, csv _ filename ) : with w _ open ( csv _ filename ) as csvfile : spamwriter = csv. writer ( csvfile, delimiter ='\ t ', lineterminator ='\ n') for row in iterable : spamwriter. writerow ( row ) return csv _ filename | [
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def valid _ metric _ type ( metric _ type ) : return metric _ type in valid _ metrics | [
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def test _ increment _ self _ with _ diff _ matrix ( self ) : matrix = matrix ( [ [ 1, 2, 3 ], [ 4, 3, 2 ] ] ) matrix - = matrix ( [ [ 3, 2, 1 ], [ 1, 4, 7 ] ] ) self. assertequals ( [ [ - 2, 0, 2 ], [ 3, - 1, - 5 ] ], matrix ) self. assertraises ( differentdimensionerror, matrix. _ _ isub _ _, [ [ 3, 2 ], [ 1, 4 ] ] )... | [
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def get _ mobi _ file ( files ) : for f in files : if f. endswith ( '. mobi') : return f return'' | [
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def explain ( self, deployment _ name = none, df = none, endpoint = none ) : raise notimplementederror ( " this function is not implemented yet. " ) | [
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def deserialize ( filename ) : if not os. path. exists ( filename ) : raise exception ('file does not exist.') with open ( filename,'rb') as f : return pickle. load ( f ) | [
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def backprop ( self, x, y ) : delta _ nabla _ b = [ np. zeros ( b. shape ) for b in self. biases ] delta _ nabla _ w = [ np. zeros ( w. shape ) for w in self. weights ] # feedforward activation = x activations = [ x ] # list to store all the activations, layer by layer zs = [ ] # list to store all the z vectors, layer ... | [
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def get _ job _ info ( self, job : j ) - > jobinfo :... | [
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def hpc ( account, config _ file, mem, partition, qos, hpc _ type, tmp, walltime ) : if hpc _ type = = " slurm " : hpc = slurmconfig ( account = account, mem = mem, partition = partition, qos = qos, tmp = tmp, walltime = walltime, ) elif hpc _ type = = " fake " : hpc = fakehpcconfig ( walltime = walltime ) else : asser... | [
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def mask _ invalid ( data ) : xyz _ invalid = ( data ['xyzflagprimary'] > 2 ) | ( data ['xyzflagsecondary'] > 0 ) data ['xyzzdisplacement'] [ xyz _ invalid ] = np. nan time _ invalid = ( data ['waveflagprimary'] > 2 ) | ( data ['waveflagsecondary'] > 0 ) freq _ invalid = ( data ['wavefrequencyflagprimary'] > 2 ) | ( da... | [
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def create _ date ( self, create _ date ) : self. _ create _ date = create _ date | [
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def main ( ) : logging. getlogger ( ). setlevel ( logging. info ) app = wx. app ( false ) controller = controller ( ) app. view _ top _ frame = controller. view app. mainloop ( ) | [
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def _ get _ instrument _ filters ( ) : return { l : [ l _ for l _ in os. listdir ( path _ lepharedir + " / filt / " + l ) if l _. endswith ( ". pb " ) ] for l in os. listdir ( path _ lepharedir + " / filt " ) if os. path. isdir ( path _ lepharedir + " / filt / " + l ) } | [
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def setup ( self ) : self. category _ item _ class = categoryclass ( ) app. testing = true self. app = app. test _ client ( ) self. data = { " email " : " mochualex4 @ gmail. com ", " username " : " chairman ", " password " : " qwer12 # $ ", " confirm _ password " : " qwer12 # $ " } self. data1 = { " category " : " mat... | [
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def kill ( self ) : self. send _ signal ( signal. sigkill ) | [
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def test _ l1 ( bar _ file ='bar / 20180727 / nym _ cl _ b1s. csv ', hist _ load _ date = none, symbol ='cl ', repo _ path ='repo _ test ', bs = 1 ) : if hist _ load _ date is not none : print ('create repo ', repo _ path,'and load history dates : ', hist _ load _ date ) import os import ib _ hist as ibhist os. system ... | [
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def rasterize _ points ( pointclouds, image _ size : union [ int, list [ int ], tuple [ int, int ] ] = 256, radius : union [ float, list, tuple, torch. tensor ] = 0. 01, points _ per _ pixel : int = 8, bin _ size : optional [ int ] = none, max _ points _ per _ bin : optional [ int ] = none, ) : points _ packed = pointc... | [
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def test _ get _ artifact _ deps ( self ) : pass | [
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def query _ by _ grid _ indices ( self, idxs ) : if self. nn _ groups is none : self. partition _ grid ( ) return [ self. atom _ labels [ self. nn _ groups [ i ] ] for i in idxs ] | [
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def deconvolution ( hv, be, r, d _ r ) : density = [ ] matrix = gen _ matrix ( r, d _ r ) while len ( hv ) > len ( matrix ) : hv. pop ( ) while len ( matrix ) > len ( hv ) : matrix. pop ( ) rev _ hv = list ( reversed ( hv ) ) x = 0 for i in range ( len ( rev _ hv ) ) : # # calculate how much to subtract from bin densit... | [
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def succeed ( self ) : log. info ( " action run % s succeeded ", self. id ) self. mark _ success ( ) self. start _ dependants ( ) self. state _ callback ( ) | [
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def test _ filter _ jobs _ by _ regional _ restrictions ( self ) : job _ post _ 1 = create _ job ( title = " job a ", category = job _ category _ choices. design, company = self. test _ company, regional _ restrictions = regional _ restrictions _ choices. anywhere ) response = self. client. get ( reverse ('jobs : jobs ... | [
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def add _ button _ subscriber ( self, button _ id : str, callback _ : callable [ [ str ], none ] ) : self. _ button _ subscribers [ button _ id ] = callback _ | [
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def check _ positive _ integer ( value ) : try : intval = int ( value ) except valueerror : raise argumenttypeerror ( " % s is not a positive integer " % value ) if intval < 0 : raise argumenttypeerror ( " % s is not a positive integer " % value ) return intval | [
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def get _ tiles _ in _ row ( self, index ) : try : tiles = self. _ maze [ index ] return tiles except indexerror : raise indexerror ( " invalid value, { } not a valid index for a row ". format ( index ) ) | [
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def checkoptimization ( chains ) : all _ good = true orphan _ groups = [ ] l1 _ groups = { } l1 _ lumi = { } l2 _ groups = { } l2 _ lumi = { } # breadth - first search to make l1 and l2 groups # optimization will be tested at every l1 / l2 / ef breakpoint, so # merge the lists of luminosity points for chain in chains :... | [
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def from _ card ( cls, creator : gameentity, * args, * * kwargs ) : kwargs ['creator'] = creator kwargs ['oop'] = creator. oop kwargs ['player _ id'] = creator. player _ id enc = cls ( * args, * * kwargs ) return enc | [
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def distance _ sklearn _ metrics ( z, k = 4, metric ='euclidean') : d = sklearn. metrics. pairwise. pairwise _ distances ( z, metric = metric, n _ jobs = 1 ) # k - nn graph. idx = np. argsort ( d ) [ :, 1 : k + 1 ] d. sort ( ) d = d [ :, 1 : k + 1 ] return d, idx | [
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def close ( self ) : try : self. connection. close ( ) except exception as e : raise udsexception ( str ( e ) ) | [
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def move _ object ( self, indexes = none, vert _ inc = 0, hor _ inc = 0, auto = false, mode ='n') : if isinstance ( indexes, str ) : indexes = [ indexes ] for index in indexes : if index in self. object _ dict and'p'in self. object _ dict [ index ] : positions = list ( self. object _ dict [ index ] ['p'] ) up _ bound =... | [
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def _ parse _ shuffle _ set ( bot, shuffle _ string ) : shuffle _ string = shuffle _ string. strip ( ) shuffle _ list = shuffle _ string. split ( ) if len ( shuffle _ list ) > 1 : return true, shuffle _ list shuffle _ components = shuffle _ string. split ( ',') error _ list = [ ] shuffle _ list = sequencelist ( ) for e... | [
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def test _ ylength _ is _ scale ( self, width, height, scale ) : assume ( scale > 0 ) domain = get _ real _ domain ( width, height, scale ) ymax = domain. ymax ymin = domain. ymin assert ( ymax - ymin ) = = scale | [
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def _ _ init _ _ ( self, width : int, height : int ) : self. _ _ dict _ _ ['width'] = width self. _ _ dict _ _ ['height'] = height | [
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def _ _ call _ _ ( self, environ, start _ response ) : try : for var in'query _ string path _ info '. split ( ) : if var not in environ : raise knownunknown ('missing " % s " environment variable'% var ) query = dict ( parse _ qsl ( environ ['query _ string'] ) ) for param in'size zoom '. split ( ) : if param not in qu... | [
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def correlationlag ( series _ 1, series _ 2, lag _ length = 50, name _ series _ 1 ='series 1 ', plot = true ) : lag _ 1, lag _ 2 = [ ], [ ] correlation _ 1, correlation _ 2 = [ ], [ ] error _ low _ 1, error _ high _ 1, error _ low _ 2, error _ high _ 2 = [ ], [ ], [ ], [ ] for lag _ i in range ( lag _ length + 1 ) : # ... | [
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def _ bigru _ layer ( input _ feature ) : pre _ gru = fluid. layers. fc ( input = input _ feature, size = grnn _ hidden _ dim * 3, param _ attr = fluid. paramattr ( initializer = fluid. initializer. uniform ( low = - init _ bound, high = init _ bound ), regularizer = fluid. regularizer. l2decayregularizer ( regularizat... | [
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def current _ user _ following ( self ) : return self. _ current _ user _ following | [
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def batchify ( batch ) : # batch is a list of vectorized examples batch _ size = len ( batch ) ids = [ ex ['id'] for ex in batch ] # - - - - - - - - - prepare code tensors - - - - - - - - - code _ words = [ ex ['code _ word _ rep'] for ex in batch ] code _ type = [ ex ['code _ type _ rep'] for ex in batch ] max _ code ... | [
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def test _ xs ( ) : assert geo _ lin. xs. shape = = ( len _ ts, mlin. n ) for ii in range ( len _ ts - 1 ) : dx = mlin. vi * ( geo _ lin. ts [ ii + 1 ] - geo _ lin. ts [ ii ] ) assert np. allclose ( dx, ( geo _ lin. xs [ ii + 1 ] - geo _ lin. xs [ ii ] ) ) | [
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def _ _ str _ _ ( self ) - > str : output = " " output + = f " name : { self. name } \ n " # if isinstance ( self. alias, str ) and self. alias! = " " : # output + = f " alias : { self. alias } \ n " # if isinstance ( self. type, str ) and self. type! = " " : # output + = f " type : { self. type } \ n " output + = f " ... | [
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def on _ shutdown ( ) : rclpy. shutdown ( ) logger. info ( " waiting for rclpy spin thread to exit " ) global spin _ thread spin _ thread. join ( ) spin _ thread = none global node node = none | [
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def redeem _ ticket ( self, theater, customer ) : # pre : # the customer must be a user who has an unredeemed ticket for this showtime. # the theater must be the theater containing this showtime. # post : # if the customer does not have an unredeemed ticket for this showtime, this method does nothing. # if, on the othe... | [
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def acquisitions ( self ) : acquisitions _ dict = { } for key in self. files : matlab _ file = scipy. io. loadmat ( self. files [ key ] ) if len ( key ) = = 8 : vibration _ data _ raw = matlab _ file ['bearing'] [ 0 ] [ 0 ] [ 1 ] else : vibration _ data _ raw = matlab _ file ['bearing'] [ 0 ] [ 0 ] [ 2 ] vibration _ da... | [
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async def get _ valid ( self, * * kwargs ) - > " models. fish " : cls = kwargs. pop ('cls ', none ) # type : clstype [ " models. fish " ] error _ map = { 404 : resourcenotfounderror, 409 : resourceexistserror } error _ map. update ( kwargs. pop ('error _ map ', { } ) ) # construct url url = self. get _ valid. metadata ... | [
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def apply _ jrf ( jrf _ target, domain _ home = none, should _ update = false ) : _ method _ name ='apply _ jrf'_ logger. entering ( jrf _ target, domain _ home, should _ update, class _ name = _ class _ name, method _ name = _ method _ name ) _ logger. fine ('wlsdply - 00073 ', jrf _ target, domain _ home, should _ up... | [
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def toextended ( self ) - > str : return self. m _ pub _ key. toextended ( ) | [
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def run ( ) : grid = create _ game _ grid ( ) player _ nought, player _ cross = store _ names ( ) token _ map = { player _ nought :'o ', player _ cross :'x'} display _ welcome ( player _ nought, player _ cross ) display _ game _ board ( grid ) for turn in range ( 9 ) : if turn % 2 = = 0 : current _ player = player _ no... | [
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def getincrementindex ( self ) : return _ itkimageserieswriterpython. itkimageserieswriteriul3iul2 _ getincrementindex ( self ) | [
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def get _ tiles _ in _ column ( self, index ) : try : tiles = [ ] for row in self. _ maze : tiles. append ( row [ index ] ) return tiles except indexerror : raise indexerror ( " invalid value, { } not a valid index for a column ". format ( index ) ) | [
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def forward ( self, x ) : x, recalled _ quant _ mask = x m1, m2, mb = self. weights x _ shape = x. shape x = jnp. reshape ( x, [ - 1, x _ shape [ - 1 ] ] ) # easier to operate on flattened x. # q : should we add bias and / or put relu after the low - rank m1 dot? # replacing multiplication and reshape by this einsum br... | [
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def vectorize ( ex, model ) : src _ dict = model. src _ dict code = ex ['code'] type _ dict = model. type _ dict vectorized _ ex = dict ( ) vectorized _ ex ['id'] = code. id vectorized _ ex ['code'] = code. text vectorized _ ex ['code _ tokens'] = code. tokens vectorized _ ex ['code _ type _ rep'] = none code _ vectori... | [
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def get _ tiles ( i, j, tiles ) : cell _ tiles = [ ] for tile in tiles : if tile [ 2 ] = = i and tile [ 3 ] = = j : for _ in range ( 0, tile [ 0 ] ) : cell _ tiles. append ( tile [ 1 ] ) return cell _ tiles | [
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def parse _ licensee _ records ( file _ name ) : records = [ ] with fitz. open ( file _ name ) as doc : for page in doc : page _ text = page. gettext ( ) values = page _ text. replace ('\ n \ n ','\ n'). split ('\ n') row = [ ] for value in values : if value in exclude or any ( x in value for x in exlude _ parts ) : co... | [
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def test _ vasp _ calc _ extra ( run _ vasp _ process ) : # let us add an additional object to the retrieve _ list ( which do not delete the object after parse ) # and check if it is actually there from aiida _ vasp. calcs. vasp import vaspcalculation inputs = { } extra _ object _ to _ keep ='poscar'inputs ['settings']... | [
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def set _ activation ( self, activation ) : self. _ activation _ function = activation | [
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... |
def causalattention ( d _ feature, n _ heads = 1, dropout = 0. 0, mode ='train') : assert d _ feature % n _ heads = = 0 d _ head = d _ feature / / n _ heads def compute _ attention _ heads ( x ) : batch _ size = x. shape [ 0 ] seqlen = x. shape [ 1 ] # n _ batch, seqlen, n _ heads * d _ head - > n _ batch, seqlen, n _ ... | [
0.37131425738334656,
-0.24407492578029633,
0.8058088421821594,
-0.09633997827768326,
-0.4360397458076477,
-0.6790609359741211,
1.3014826774597168,
0.21468451619148254,
0.47605589032173157,
0.009972779080271721,
0.40244242548942566,
0.7738048434257507,
0.6772369742393494,
-0.074874907732009... |
def get _ prodcut _ name _ byid ( pid ) : query ='select testcasemanage _ product from product where prod _ id = { 0 } '. format ( pid ) result = autodb. select _ one _ record ( query ) pname = result [ 0 ] ['prod _ name'] return pname | [
0.23569002747535706,
-0.8203041553497314,
0.5497351288795471,
-0.08155156672000885,
-0.3544677793979645,
0.006168670486658812,
0.5941609740257263,
-1.004678726196289,
0.42885926365852356,
1.141759991645813,
0.5389249920845032,
-0.40292438864707947,
-0.11599317193031311,
-0.1819131523370742... |
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