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def file _ path ( dir, filename, name, ext ) : return'% s / % s _ % s. % s'% ( dir, filename, name, ext ) | [
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def test _ register _ input _ and _ user _ name _ empty ( self, * _ ) : self. open ( base _ url +'/ logout') # go to main page self. open ( base _ url +'/ register') # validate that the user is taken to / login assert self. get _ current _ url ( ) = = base _ url +'/ register'self. type ('# email ','test _ frontend @ te... | [
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def iscoroutinefunction _ or _ partial ( obj : typing. any ) - > bool : # pragma : no cover warnings. warn ( " iscoroutinefunction _ or _ partial is deprecated, " " and will be removed in a future release. ", deprecationwarning, ) while isinstance ( obj, functools. partial ) : obj = obj. func return inspect. iscoroutin... | [
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def run _ query ( query, client, table ) : print ('{ : - ^ 80 } '. format ( " creating table { } ". format ( table ) ) ) query _ job = client. query ( query ) rows = query _ job. result ( ) # wait for query to finish print ('{ : = ^ 80 } '. format ( " success " ) ) | [
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def data _ writer ( dirname, n _ files = - 1 ) : path ( dirname. replace ('gt ','partial _ sub _ group') ). mkdir ( parents = true, exist _ ok = true ) path ( dirname. replace ('gt ','diff') ). mkdir ( parents = true, exist _ ok = true ) path ( dirname. replace ('gt ','hist _ labels') ). mkdir ( parents = true, exist _... | [
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def launch _ template _ specification ( self ) - > pulumi. input ['spotfleetrequestlaunchtemplateconfiglaunchtemplatespecificationargs'] : return pulumi. get ( self, " launch _ template _ specification " ) | [
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def _ _ init _ _ ( self, masterdir = direction. out, multipliedby = none, alternativenames = none, loadconfig = true ) : self. _ setattrlistener = none self. _ associatedclk = none self. _ associatedrst = none self. _ parent = none super ( ). _ _ init _ _ ( ) if multipliedby is not none : multipliedby = tohval ( multip... | [
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def push ( self, thing ) : if thing in self : self. remove ( thing ) self. append ( thing ) | [
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def callback _ query _ next ( self, bot : bot, update : update ) - > none : self. logger. info ( " callback query'next'from % s ", self. _ log _ user ( update. callback _ query. from _ user ) ) bot. answer _ callback _ query ( callback _ query _ id = update. callback _ query. id, ) with self. db _ session ( ) as sessio... | [
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def smoothdata ( data, r, d _ r ) : smooth _ data = [ ] r + = 1 # # comment out for smoothing smooth _ data = [ ] for i in range ( len ( data ) ) : smooth _ data. append ( data [ i ] ) # # adds + and - bins final _ smooth _ data = [ ] for i in range ( int ( r / d _ r ) ) : final _ smooth _ data. append ( smooth _ data ... | [
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def _ _ init _ _ ( self ) : super ( xlsxoutputmodule, self ). _ _ init _ _ ( ) self. _ column _ widths = [ ] self. _ current _ row = 0 self. _ custom _ fields = { } self. _ field _ formatting _ helper = dynamic. dynamicfieldformattinghelper ( ) self. _ field _ names = self. _ default _ fields self. _ sheet = none self.... | [
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def test _ packages ( self ) : self. asserttrue ( self. check _ package _ output ( " python - - version ", " python 3. 6. " ) ) self. asserttrue ( self. is _ package _ present ( " pip " ) ) | [
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def calculate _ loss ( y, tx, w, pred ) : loss = y. t. dot ( np. log ( pred ) ) + ( 1 - y ). t. dot ( np. log ( 1 - pred ) ) print loss return np. squeeze ( - loss ) | [
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def interval _ scheduling _ greedy ( requests ) : optimal _ subset = [ ] while ( len ( requests ) > 0 ) : job = earliest _ finish ( requests ) compatible _ list = compatibles ( job [ 1 ], requests ) optimal _ subset. append ( job ) requests = compatible _ list return optimal _ subset | [
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def set _ activity _ fields ( activity ) : valid = true messages = dict ( ) if flask. request. form ['name'] : activity. name = flask. request. form ['name'] else : messages ['name'] = " name is required " valid = false if flask. request. form ['icon'] : # verify valid icon selection if flask. request. form ['icon'] = ... | [
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def time _ stats ( df ) : print ('\ ncalculating the most frequent times of travel... \ n') start _ time = time. time ( ) # to do : display the most common month frequent _ month = df ['month']. mode ( ) [ 0 ] print ( " \ n \ t most popular month of travel : ", frequent _ month ) # to do : display the most common day o... | [
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def search ( self, txt ) : n = len ( txt ) m = len ( self. pat ) j = 0 i = 0 while ( i < n and j < m ) : j = self. dfa [ ord ( txt [ i ] ) ] [ j ] i + = 1 if ( j = = m ) : # found ( hit end of pattern ) return i - m else : # not found ( hit end of text ) return n | [
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def get _ name ( self ) : return " main " | [
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def _ gethierarchyrootjoint ( joint = " " ) : # search through the rootjoint's top most joint parent node rootjoint = joint while ( true ) : parent = cmds. listrelatives ( rootjoint, parent = true, type ='joint') if not parent : break rootjoint = parent [ 0 ] return rootjoint | [
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def _ equals ( self, other ) : # call super if not super ( cpointervalvar, self ). _ equals ( other ) : return false # check same attributes ( intensity processed as a children ) return self. start = = other. start and \ self. end = = other. end and \ self. length = = other. length and \ self. size = = other. size and ... | [
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def single _ mutant _ matrix ( self, model, n _ pred _ iterations = 10, \ minibatch _ size = 2000, filename _ prefix = " " ) : # get the start and end index from the sequence name start _ idx, end _ idx = self. focus _ seq _ name. split ( " / " ) [ - 1 ]. split ( " - " ) start _ idx = int ( start _ idx ) wt _ pos _ foc... | [
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def samples ( self, gp, y _ metadata = none ) : orig _ shape = gp. shape gp = gp. flatten ( ) # ysim = np. random. poisson ( self. gp _ link. transf ( gp ), [ samples, gp. size ] ). t # return ysim. reshape ( orig _ shape + ( samples, ) ) ysim = np. random. poisson ( self. gp _ link. transf ( gp ) ) return ysim. reshap... | [
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def connect ( self ) : if self. state is disconnected : self. _ connect _ deferred = defer. deferred ( ) self. _ attempt _ to _ connect ( ) else : if self. state is connected : log. debug ( " already connected to amqp " ) else : log. debug ('connection to amqp is already in progress') return self. _ connect _ deferred | [
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def flatten ( self, new _ fingerprint, max _ depth = 16 ) - > " dataset " : dataset = copy. deepcopy ( self ) for depth in range ( 1, max _ depth ) : if any ( isinstance ( field. type, pa. structtype ) for field in dataset. _ data. schema ) : dataset. _ data = dataset. _ data. flatten ( ) else : break if dataset. info ... | [
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def validate ( self, responses, field = none ) : raise notimplemented ( ) | [
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def load _ lazy ( path ) : res = aln ( [ ], [ ] ) res. f = h5py. file ( path, " r " ) res. data = res. f [ " alns " ] res. labels = res. f [ " labels " ] res. dist = res. f [ " dist " ] return res | [
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def get _ cannabis _ data _ ok ( ) : return { } | [
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def _ _ init _ _ ( self, name, race, symbol, health, level, exp ) : nullbag = inv. inventory ( " null ", 0 ) self. name = name self. race = race self. symbol = symbol self. bag = nullbag self. health = health self. level = level self. exp = exp | [
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def show _ navigation _ menu ( context, menu, root = none, template ='navigation / menu. html ', request _ path = none ) : # get the menu try : data = get _ navigation _ menu ( menu, root ) except objectdoesnotexist : return show _ missing _ menu ( context, menu,'navigation / menu - missing. html') if isinstance ( cont... | [
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def delete ( org _ id ) : try : response, status = orgservice. delete _ contact ( org _ id ). as _ dict ( ), http _ status. http _ 200 _ ok except businessexception as exception : response, status = {'code': exception. code,'message': exception. message }, exception. status _ code return response, status | [
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def angle _ between ( v1, v2 ) : v1 _ u = unit _ vector ( v1 ) v2 _ u = unit _ vector ( v2 ) return np. arccos ( np. clip ( np. dot ( v1 _ u, v2 _ u ), - 1. 0, 1. 0 ) ) | [
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def form _ json ( self, sensor _ type ) : this _ year _ measures = bdhandler. get _ this _ year _ measures ( sensor _ type ) obj _ list = [ ] for sensor _ obj in this _ year _ measures : obj = { } obj ['tipo'] ='% s'% ( sensor _ obj. type ) obj ['valor'] ='% s'% ( sensor _ obj. value ) obj ['ubicacion'] ='% s'% ( senso... | [
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def _ _ call _ _ ( self, * args, * * kwargs ) : self. simplug _ hooks. _ sort _ registry ( ) results = [ ] for plugin in self. simplug _ hooks. _ registry. values ( ) : if not plugin. enabled : continue hook = plugin. hook ( self. name ) if hook is not none : plugin _ args = ( plugin. plugin, * args ) if hook. has _ se... | [
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def _ _ or _ _ ( self, other ) : # if other is false : # do not use = = because it is overloaded # return self # if other is true : # do not use = = because it is overloaded # return true other = build _ cpo _ expr ( other ) assert self. is _ kind _ of ( type _ boolexpr ) and other. is _ kind _ of ( type _ boolexpr ), ... | [
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def tel ( self, zorg _ vraag _ attribuut _ code, subtraject ) : return subtraject. get _ zorg _ vraag _ attribuut _ telling ( zorg _ vraag _ attribuut _ code ) | [
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def create _ placeholders ( self ) - > none : self. users = tf. placeholder ( tf. int32, [ none ], name ='user _ placeholder') self. items = tf. placeholder ( tf. int32, [ none ], name ='item _ placeholder') self. scores = tf. placeholder ( tf. float32, [ none, 1 ], name ='score _ placeholder') self. labels = tf. place... | [
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def get ( self ) : self. method = " get " entity = fileattachment ( json. loads ( self. send ( ). content ) ) self. _ initialize _ collection _ properties ( entity ) return entity | [
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def run _ ggn _ gram _ evals ( architecture _ fn, param _ groups _ fn, computations _ fn, n, device ) : model, loss _ func, x, y = architecture _ fn ( n ) model = extend ( model. to ( device ) ) loss _ func = extend ( loss _ func. to ( device ) ) x = x. to ( device ) y = y. to ( device ) param _ groups = param _ groups... | [
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def write _ metadata ( t _ df, phase, out _ dir ) : output _ path = os. path. join ( out _ dir,'cst _ audio _ text _'+ phase +'_ filelist. txt') with open ( output _ path,'w ', encoding ='utf - 8') as f : for index, trow in t _ df. iterrows ( ) : str _ line = " | ". join ( [ trow ['text'], trow ['audio _ path'], trow [... | [
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def make _ hmac ( self, msg ) : return hmac. new ( self. hmackey, msg, sha256 ). digest ( ) | [
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def generate _ freecad _ trajectory ( self ) : doc = freecad. activedocument ( ) traj = doc. addobject ( " robot : : trajectoryobject ", " trajectory " ). trajectory frame _ curr = pose ( ) for target in self. _ path : command = target [ 0 ] if command = ='target': pose = frame _ curr * target [ 1 ] pos = pose. pos rot... | [
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def bayesian _ quad _ normal ( f, n _ dim, sample _ size, mu, sigma, verbose = true ) : start = datetime. datetime. now ( ) if verbose : print start kernel = gpy. kern. rbf ( n _ dim, ard = true ) mu = np. atleast _ 1d ( mu ) sigma = np. atleast _ 2d ( sigma ) # generate sample points if verbose : print " sampling " x ... | [
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... |
def _ c _ zero _ lsb ( index : int, start : int = 2 ) - > _ gen : while index & 1 = = 0 : yield start / / 2 start < < = 1 index > > = 1 | [
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def get _ catalog _ levels ( item : str ) - > list [ str ] : levels = [ ] levels. append ( " / ". join ( item. split ( " / " ) [ : - 1 ] ) ) levels. append ( " / ". join ( item. split ( " / " ) [ : - 2 ] ) ) levels. append ( " / ". join ( item. split ( " / " ) [ : - 3 ] ) ) return levels | [
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def store _ instance ( self, name : str, metadata : dict, for _ update : bool = false ) - > dict : pass | [
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def _ _ init _ _ ( self, aln, transform = none, pre _ transform = none ) : super ( aligndataset, self ). _ _ init _ _ ( ". / ", transform, pre _ transform ) if not isinstance ( aln, aln ) : raise typeerror ( " aln dataset was expected " ) self. aln = aln self. data = none self. process ( ) | [
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def dns _ a ( self, domainname ) : if not domainname : return [ ] if self. strict > 1 : alist = self. dns ( domainname,'a') if len ( alist ) = = 0 : raise ambiguitywarning ('no a records found for ', domainname ) else : return alist return self. dns ( domainname,'a') | [
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... |
def isclose ( a, b, rel _ tol = 1e - 9, abs _ tol = 0. 0 ) : return abs ( a - b ) < = max ( rel _ tol * max ( abs ( a ), abs ( b ) ), abs _ tol ) | [
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def _ encode _ status ( status ) : if not isinstance ( status, str ) : raise typeerror ('wsgi response status is not of type str.') return status. encode ('iso - 8859 - 1') | [
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def get _ all _ users ( self ) : users _ response = [ ] all _ available _ users = self. database. get _ all _ documents ( ) for user in all _ available _ users : users _ response. append ( user ( * * user ). client _ response ( ) ) return users _ response | [
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def _ _ rdiv _ _ ( self, other ) : if isinstance ( other, array ) : result = self. _ new _ like _ me ( _ get _ common _ dtype ( self, other, self. queue ) ) other. _ div ( result, self ) else : # create a new array for the result common _ dtype = _ get _ common _ dtype ( self, other, self. queue ) result = self. _ new ... | [
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def _ extract _ sum _ scalars ( v1, v2 ) : def chk ( c ) : " " " helper to check if we have a primitive or tensor " " " return not isinstance ( c, ( int, float, np. int32, np. int64, np. float32, np. float64 ) ) v1 _ detached = v1. detach ( ) if chk ( v1 ) else v1 v2 _ detached = v2. detach ( ) if chk ( v2 ) else v2 re... | [
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def signup ( ) : return render _ template ('register. html') | [
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def partition _ datetime _ from _ spec ( spec, regex ) : if isinstance ( regex, basestring ) : regex = re. compile ( regex ) match = regex. search ( spec ) return datetime. datetime ( int ( match. groupdict ( ). get ('year') ), int ( match. groupdict ( ). get ('month ', 1 ) ), int ( match. groupdict ( ). get ('day ', 1... | [
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def _ tokenise _ files _ expression ( self, s ) : if s is none : return [ ] # for debugging purposes, keep the original string orig = s # list of tokens tokens = [ ] while s : # if the first character is a white space, ignore it if s [ 0 ]. isspace ( ) : s = s [ 1 : ] continue # if the first character is a operator, ad... | [
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def test _ get _ parameter _ value _ long ( self ) : pass | [
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def get _ group _ entities ( self, uuid, cache = false, * * kwargs ) : if cache : return self. get _ cached _ inventory ('_ _ group _ entities ', uuid = uuid, * * kwargs ) return self. request ( f'groups / { uuid } / entities ', * * kwargs ) | [
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def remove _ tabs ( df ) : df. title = df. title. str. replace ( " \ t ",'' ) df. abstract = df. abstract. str. replace ( " \ t ",'' ) return df | [
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def test _ out _ of _ order _ finish ( self ) - > none : # prefill table with 7 rows written by'master'self. _ insert _ rows ( " master ", 7 ) id _ gen = self. _ create _ id _ generator ( ) self. assertequal ( id _ gen. get _ positions ( ), { " master " : 7 } ) self. assertequal ( id _ gen. get _ current _ token _ for ... | [
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def plot _ tads ( mtx, tads, bgn = 0, end = 250, fname = none, plot _ size = none ) : tads _ color ='blue'# plot tuning if plot _ size : plt. figure ( figsize = plot _ size ) sns. heatmap ( mtx [ bgn : end, bgn : end ], cmap ='reds') plt. xticks ( [ ] ) plt. yticks ( [ ] ) for i in tads : tad _ bgn = i [ 0 ] - bgn tad ... | [
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def sequence _ var ( vars, types = none, name = none ) : return cposequencevar ( vars, types, name ) | [
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def output ( self ) : item = self. _ _ output _ list _ box. current _ item ( ) if item is not none : return item else : return outputitem ( ) | [
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def getor ( subject, predicate, * args, * * kwargs ) : if ( subject, predicate, none ) in get _ graph ( ) : return metadata ( node = get _ graph ( ). objects ( subject, predicate ). _ _ next _ _ ( ) ) return metadata ( * args, * * kwargs ) | [
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... |
def set _ backend ( self, backend ='zbar') : self. backend = backend if backend = ='zbar': self. decode = self. decode _ zbar elif backend = ='libdmtx': self. decode = self. decode _ libdmtx | [
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def build _ model ( cls, cfg : wav2vec2ctcconfig, task : fairseqtask ) : w2v _ encoder = wav2vecencoder ( cfg, none ) # len ( task. target _ dictionary ) return cls ( cfg, w2v _ encoder, task ) | [
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def output ( self ) : return impcconfig ( ). get _ target ( f " { self. output _ path } { self. specimen _ type } _ specimen _ cross _ ref _ parquet " ) | [
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async def gather _ task _ responses ( self, task _ id, timeout = none ) - > list : if timeout is none : timeout = self. global _ timeout url = " { } { } : { } / ws / responses / by _ task / { } ". format ( self. _ ws, self. _ server _ ip, self. _ server _ port, str ( task _ id ) ) headers = self. get _ headers ( ) resp... | [
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def _ c _ one _ lsb ( index : int, stop : int = 0 ) - > _ gen : while index > stop : yield index index & = index - 1 | [
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def random _ pixel _ locations ( dimensions, npixels = 100 ) : if len ( dimensions )! = 2 : raise typeerror ( " 2 dimensions must be specified. " ) cols = dimensions [ 1 ] rows = dimensions [ 0 ] x = numpy. random. randint ( 0, cols, npixels ) y = numpy. random. randint ( 0, rows, npixels ) index = ( y, x ) return inde... | [
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def find _ by _ id ( cls, _ id ) : return cls. query. filter _ by ( id = _ id ). first ( ) | [
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def containsany ( str, set ) : return 1 in [ i in str for i in set ] | [
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def state ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " state " ) | [
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def cursor _ set ( self, new _ cursor : xy ) - > none : self. cursor = new _ cursor self. _ cursor _ set _ implementation ( ) | [
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def correlate _ lights _ and _ stop _ positions ( self ) : for light in self. lights : # reset the minimum distance and the index we search for min _ dist = float ('inf') matching _ index = 0 for i, stop _ line _ position in enumerate ( self. stop _ line _ positions ) : # calculate the euclidean distance dx = light. po... | [
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def test _ 2d _ subbox ( ) : topo, cub = check _ subset ( discr2d, xdef [ : 2 ], ldef [ : 2 ] ) velo = field ( domain = topo. domain, is _ vector = true, formula = v2d, name ='velo') vd = velo. discretize ( topo ) velo. initialize ( topo = topo ) i0 = cub. integrate _ field _ allc ( velo, topo ) vref = np. prod ( cub. ... | [
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def encode _ multipart _ formdata ( fields, files ) : boundary ='- - - - - - - - - - this _ is _ the _ boundary _ $'l = [ ] for ( key, value ) in fields : l. append ('- -'+ boundary ) l. append ('content - disposition : form - data ; name = " % s "'% key ) l. append ('' ) l. append ( value ) for ( key, filename, value ... | [
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def fitting _ curve ( mask, margin = ( 60, 60 ) ) : # 1. find boundary bound = find _ boundaries ( mask > 127, mode ='outer') # 2. crop marginal parts ( may be noise ) lhs, rhs = margin bound [ :, : lhs ] = 0 # left hand side bound [ :, - rhs : ] = 0 # right hand side # 3. process upper and lower boundary respectively ... | [
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def form _ star ( self, time, sf _ mode ='sim ', mass = none ) : new _ star = [ time, mass, mass, self. z ] new _ star. extend ( self. abunds. values ( ) ) self. stars = np. append ( self. stars, np. array ( [ tuple ( new _ star ) ], dtype = star _ type ) ) | [
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def demo _ ward _ msb ( n = 30, d = 30, niter = 1000 ) : from numpy. random import randn x = randn ( n, d ) x [ : np. ceil ( n / 3 ) ] + = 1. 0 niter = 1000 t, cpval, upval = ward _ msb ( x, niter ) t. plot ( ) import matplotlib. pylab as mp mp. figure ( ) mp. plot ( upval,'o') mp. plot ( cpval,'o') | [
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def next _ file ( filename, base _ dir = " saves " ) : plot _ save _ location = base _ dir + os. sep + filename i = 0 while os. path. exists ( plot _ save _ location % i ) : i + = 1 return plot _ save _ location % i | [
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def _ _ init _ _ ( self, value ='', sequencenumber = 0, name ='', propertyassets = none, transaction = none, ratingassets = none, * args, * * kw _ args ) : # : value of an attribute, including unit information. self. value = value # : sequence number for this attribute in a list of attributes. self. sequencenumber = se... | [
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def build _ cpo _ tupleset ( val ) : def normalize _ value ( val ) : assert not is _ string ( val ), " impossible to build a tuple set expression from a string " assert not isinstance ( val, dict ), " impossible to build a tuple set expression from a dictionary. select values ( ) or keys ( ). " try : return tuple ( tup... | [
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def solve _ select ( expr, vars ) : data, _ = _ _ solve _ for _ repeated ( expr. lhs, vars ) key = solve ( expr. rhs, vars ). value try : results = [ associative. select ( d, key ) for d in repeated. getvalues ( data ) ] except ( keyerror, attributeerror ) : # raise a better exception for accessing a non - existent key... | [
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def register _ athlete _ team ( self, strava _ athlete : sm. athlete, athlete _ model : athlete ) - > team : all _ teams = config. competition _ teams self. logger. info ( " checking { 0! r } against { 1! r } ". format ( strava _ athlete. clubs, all _ teams ) ) try : if strava _ athlete. clubs is none : raise noteamser... | [
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def notify ( self, instance, notification ) : if instance = = self. gplane and notification = = " deleted " : self. lives - = 1 self. widget _ lives. message = f " lives : { self. lives } " if self. lives = = 0 : sys. exit ( 0 ) else : self. gplane = gameplayer ( self. plane _ img, 32, height - self. plane _ img. get _... | [
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def total _ annual ( self ) : return self. total _ income + self. total _ gifts + self. total _ expenses + self. total _ donations | [
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def _ _ init _ _ ( self, params, name = none ) : super ( fashionencoder, self ). _ _ init _ _ ( name = name ) self. params = params self. encoder _ stack = encoderstack ( params ) self. activity _ regularizer = tf. keras. regularizers. l2 ( self. params [ " enc _ regularization " ] ) | [
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def test _ getitem ( self ) : self. assertequals ( 3, self. vector [ 2 ] ) | [
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def test _ serve _ builds ( self ) : pass | [
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def put ( self, key, value ) : # key exists - - > update value if key in self. hash _ map : node = self. hash _ map [ key ] node. value = value return key, value # return key value for consistency # create and insert node at the front ( mru position ) else : new _ node = node ( key, value ) # deal with over capacity is... | [
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def timeit ( func ) : @ functools. wraps ( func ) def wrapper ( class _ instance, * args, * * kwargs ) : ts = time. time ( ) result = func ( class _ instance, * args, * * kwargs ) te = time. time ( ) class _ instance. time _ log. append ( { func. _ _ name _ _ : te - ts } ) return result return wrapper | [
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def _ _ init _ _ ( self, data ) : if not isinstance ( data, np. ndarray ) : raise typeerror ( " data must be a 2d numpy. ndarray " ) if len ( data. shape )! = 2 : raise typeerror ( " data must be a 2d numpy. ndarray " ) if data. shape [ 1 ] < 2 : raise valueerror ( " data must contain multiple data points " ) def mean ... | [
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def save ( self, path ) : with open ( path,'wb') as f : torch. save ( self. data, f ) | [
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def test _ nfc _ wps _ er _ handover _ pk _ hash _ mismatch _ er ( dev, apdev ) : try : _ test _ nfc _ wps _ er _ handover _ pk _ hash _ mismatch _ er ( dev, apdev ) finally : dev [ 0 ]. request ( " wps _ er _ stop " ) dev [ 1 ]. request ( " set ignore _ old _ scan _ res 0 " ) | [
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... |
def clean _ str ( string ) : # remove all the words that more than 20 characters ( like website, some numbers combination, etc ) # only keep one obj _ num for continuously words string = re. sub ( r " [ ^ a - za - z _ ] ", " ", string ) string = re. sub ( r " \ s { 2, } ", " ", string ) string = re. sub ( r " [ \ w ] +... | [
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def register ( app ) : @ app. errorhandler ( 400 ) def bad _ request ( e ) : # todo : possible webpage for error return jsonify ( { " error " : { " message " : " 400 : bad request ", " route " : request. path, " method " : request. method, " error " : e. description, } } ) @ app. errorhandler ( 401 ) def missing _ argu... | [
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... |
def test _ inner _ product ( self ) : self. assertequals ( 27, self. vector. innerproduct ( vector ( [ 8, 5, 3 ] ) ) ) self. assertequals ( 27, self. vector. innerproduct ( [ 8, 5, 3 ] ) ) self. assertraises ( differentdimensionerror, self. vector. innerproduct, [ 1, 2 ] ) self. assertraises ( nonvectorerror, self. vec... | [
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-0.51030641794204... |
def parse _ time ( str _ input ) : # patterns = [ # hh : mm : ss ( + / - ) tt : tt, # hh : mm : ss ( am / pm ), # hh : mm ( am / pm ), # hh : mm : ss ( 24 - hour notation ), # hh : mm ( 24 - hour notation ) # ] patterns = [ r'(? p < hours > [ \ d ] { 1, 2 } ) [ : ] { 1 }'r'(? p < minutes > [ \ d ] { 2 } ) [ : ] { 1 }'r... | [
0.19184310734272003,
-0.766513466835022,
1.064935564994812,
-0.047072481364011765,
-0.9127389192581177,
0.11674715578556061,
0.06916366517543793,
-0.8546846508979797,
-0.10396675020456314,
0.5671771168708801,
-0.5007144808769226,
-1.0741647481918335,
-0.6774650812149048,
0.2589592933654785... |
def get _ stretched _ cpr _ grids ( cl, angle, size, rot _ axis = none, pivot _ axis = ( 1, 0, 0 ), voxel _ spacing = none, sample _ spacing = 0. 0, as _ torch = true, return _ pts2d = false ) : assert ( sample _ spacing = = 0. 0 ) or ( voxel _ spacing is not none ), \ " have to set voxel _ spacing when sample _ spacin... | [
0.47066566348075867,
-0.3545359671115875,
0.8150070309638977,
-0.11824659258127213,
-0.38628795742988586,
-0.3454304039478302,
0.09793305397033691,
0.1250111609697342,
0.15439918637275696,
0.7191634178161621,
0.30079641938209534,
0.10566543787717819,
-0.37359756231307983,
0.359805136919021... |
def galaxy _ int _ dz _ vs _ prop ( properties, snaps, labels = none, foutname ='gal _ int _ dz _ vs _ param. png ', style ='color ', include _ obs = true, criteria ='all') : # also allow groupings of plots # get plot stylization linewidths, colors, linestyles = plt _ set. setup _ plot _ style ( len ( snaps ), style = ... | [
-0.31646081805229187,
0.1971769481897354,
0.8560532331466675,
0.00018008830375038087,
-0.1305641531944275,
0.5591719150543213,
0.7071273326873779,
-0.41528576612472534,
0.29582661390304565,
-0.21773661673069,
0.7913221120834351,
0.23819150030612946,
0.47582969069480896,
0.14076915383338928... |
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