text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def extract _ course _ times ( course = course ) : m = re. compile ( r'\ d + : \ d +') return m. findall ( course ) | [
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def pyxl _ test ( items ) : items = ( < li > { item } < / li > for item in items ) doc = < ul > { items } < / ul > return unicode ( doc ) | [
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def ic _ prelim ( fig, x = 0. 75, y = 0. 8, * * kw ) : if'color'not in kw : kw ['color'] ='red'if'weight'not in kw : kw ['weight'] ='bold'fig. text ( x, y, " icecube preliminary ", * * kw ) | [
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def find _ partition _ models ( cls ) : return [ m for m in models. get _ models ( ) if isinstance ( m. _ meta. db _ table, cls ) ] | [
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def construct _ subgait ( self, capture _ point _ leg _ name, subgait _ name ) : non _ capture _ point _ move _ group ='right _ leg'if capture _ point _ leg _ name = ='left _ leg'else'left _ leg'self. calculate _ capture _ point _ trajectory ( capture _ point _ leg _ name ) self. calculate _ normal _ trajectory ( non _... | [
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def winbio _ winbiolocatesensor ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " sessionhandle ", " unitid " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value ) | [
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def _ _ wait _ for _ async _ request ( self, async _ request, tag : str = none, max _ sleep _ time : int = 7000, sleep _ interval : int = 2000, initial _ sleep _ time : int = 7000 ) : logmsg _ prefix ='{ 0 } : '. format ( tag ) if tag else'' total _ sleep _ time = 0 for retries in itertools. count ( 0 ) : if async _ re... | [
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def handle _ line _ removal ( self, file _ path, line _ num ) : self. files [ file _ path ]. pop ( line _ num ) del self. nvim. current. buffer [ line _ num ] | [
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def _ _ init _ _ ( self ) : self. scheme = super ( thebarchivelinks, self ). scheme self. netloc ='thebarchive. com'self. apiloc ='thebarchive. com'self. imgloc ='thebarchive. com ' | [
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def test _ course _ user _ post _ get ( self ) : school = school _ sample ( ) data = { " course " : " bachelor of science in business ", " major " : " marketing ", " school " : school } url = school _ course _ url ( school. id ) res = self. client. get ( url ) res2 = self. client. post ( url, data ) object = models. co... | [
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def add _ gen _ mc ( self, ns _ key, ipv4 _ start, ipv4 _ count = 1 ) : ver _ args = [ {'name':'ns _ key ','arg': ns _ key,'t': emunamespacekey }, {'name':'ipv4 _ start ','arg': ipv4 _ start,'t':'ipv4 _ mc'}, {'name':'ipv4 _ count ','arg': ipv4 _ count,'t': int } ] emuvalidator. verify ( ver _ args ) ipv4 _ vec = self.... | [
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def plane _ sweep ( image, depths, pose, intrinsics ) : batch, height, width, _ = image. get _ shape ( ). as _ list ( ) plane _ sweep _ volume = [ ] for depth in depths : curr _ depth = tf. constant ( depth, dtype = tf. float32, shape = [ batch, height, width ] ) warped _ image = projective _ inverse _ warp ( image, cu... | [
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def quiz ( ) : return render _ template ('quiz. html') | [
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def test _ filter _ jobs _ by _ category ( self ) : job _ post _ 1 = create _ job ( title = " job a ", category = job _ category _ choices. design, company = self. test _ company ) response = self. client. get ( reverse ('jobs : jobs - home'), {'job _ category': job _ category _ choices. design } ) self. assertequal ( ... | [
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def data _ circle ( num _ samples, noise ) : radius = 5 def get _ circle _ label ( x, y, xc, yc ) : return 1 if np. sqrt ( ( x - xc ) * * 2 + ( y - yc ) * * 2 ) < ( radius * 0. 5 ) else 0 noise * = 0. 01 points = np. zeros ( [ num _ samples, 2 ] ) labels = np. zeros ( num _ samples ). astype ( int ) # generate positive... | [
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def new ( * args, * * kargs ) : obj = itksmoothingrecursivegaussianimagefilterius2ius2. _ _ new _ orig _ _ ( ) import itktemplate itktemplate. new ( obj, * args, * * kargs ) return obj | [
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def init _ db ( ) : logging. debug ( " entered init _ sqlite " ) conn = sqlite3. connect ( ces _ settings ['sqlitedb'] ) try : with conn : cursor = conn. cursor ( ) cursor. execute ( " select sqlite _ version ( ) " ) logging. info ( " sqlite ok. version : % s " % cursor. fetchone ( ) ) # if an added _ events table does... | [
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def displayfilmhylle ( dic ) : win = graphicswindow ( 500, 500 ) can = win. canvas ( ) y = 0 for key in sorted ( dic ) : st = key + " \ n " + dic [ key ] [ 0 ] + " \ n " + dic [ key ] [ 1 ] + " \ n " + dic [ key ] [ 2 ] + " \ n " + str ( dic [ key ] [ 3 ] ) + " \ n " can. drawtext ( 0, y, st ) y + = 60 win. wait ( ) | [
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def device _ loc _ to _ type ( loc ) : if loc in [ 461, 501 ] : return " etc " elif loc in [ 541, 542 ] : return " gif " elif loc in [ 11, 75, 150, 239, 321, 439, 482, 496, 517, 534 ] : return " fif " elif loc in [ 38, 331, 438, 460, 478, 479, 480, 481, 497, 498, 499, 500, 513, 514, 515, 516, 527, 528, 529, 530, 531, 5... | [
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def calculate _ te ( delay, timelag, samples, sub _ samples, mcsamples, k = 1, l = 1 ) : # get autoregressive datasets data = getdata ( samples, delay ) [ x _ pred, x _ hist, y _ hist ] = vectorselection ( data, timelag, sub _ samples, k, l ) transentropy = te _ calc ( x _ pred, x _ hist, y _ hist, mcsamples ) return t... | [
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def insert ( self, k, x, p ) : temp = listnode ( k, x, p. next ) p. next = temp | [
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def test _ running _ norm _ identity _ train ( normalization _ layer : type [ networks. basenorm ] ) : running _ norm = normalization _ layer ( 1, eps = 0. 0 ) running _ norm. train ( ) # stats will change in eval mode normalized = th. tensor ( [ - 1, - 1, - 1, - 1, 1, 1, 1, 1 ] ) # mean 0, variance 1 for _ in range ( ... | [
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def guardar _ plot ( tension, tiempo, title = none ) : title = title + '. npz'np. savez ( title, x = tiempo, y = tension ) | [
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def prepare _ for _ regex ( input _, task ='search') : splits = input _. split ('{ }') process = _ prepare _ for _ regex _ get _ processor ( task ) return (''. join ( process ( n, split ) for n, split in zip ( [ n for n, _ in enumerate ( splits ) ] [ 1 : ], splits ) ) + splits [ - 1 ] ) | [
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def copy _ important _ words ( word _ list ) : # replace can be new _ word _ list = copy. deepcopy ( word _ list ) important _ word _ list = set ( word _ list ) - set ( query _ small _ change _ sets ) target = random. sample ( important _ word _ list, 1 ) [ 0 ] position = random. randint ( 0, len ( word _ list ) ) new ... | [
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def look _ around ( self ) : # remove hidden objects when the user looks around visible _ objects = { } for k, v in self. current _ room ['objects']. items ( ) : if'hidden'in v and v ['hidden'] = = true : continue visible _ objects [ k ] = v print ( " there are { 0 } items in the room : ". format ( len ( visible _ obje... | [
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def ml _ assist _ enabled ( self ) - > optional [ bool ] : return pulumi. get ( self, " ml _ assist _ enabled " ) | [
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def scale _ selenium _ pods ( self, num ) : oc ( " scale ", " dc / selenium ", f " - - replicas = { num } " ) wait _ for _ ready ( " dc ", " selenium " ) self. expected _ num _ pods = num self. reconcile _ pods ( ) | [
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def r ( self, state ) : return self. reward [ state ] | [
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def description ( self, description ) : if description is not none and len ( description ) > 200 : raise valueerror ( " invalid value for ` description `, length must be less than or equal to ` 200 ` " ) # noqa : e501 self. _ description = description | [
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async def async _ added _ to _ hass ( self ) : self. _ subscribe _ homegear _ events ( ) | [
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def edit _ category _ name ( data : dictionary ) : display _ categories ( data ) category _ choice = input ( " choose category : " ) if category _ choice in data. keys ( ) : new _ category = input ( " enter new category name : " ) data. update ( { new _ category : data [ category _ choice ] } ) del data [ category _ ch... | [
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def check ( self ) : moves = 0 for insect in self. insects : if insect. color = = self. turn : moves + = len ( insect. moves ) else : for pos in insect. moves : if self [ pos ] is not none : attacked _ insect = self [ pos ] if attacked _ insect. leader : self. caption ='setback'self. setback = true if len ( attacked _ ... | [
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def _ _ init _ _ ( self ) : ginacfunction. _ _ init _ _ ( self, " stieltjes ", nargs = 1, conversions = dict ( mathematica ='stieltjesgamma ', sympy ='stieltjes'), latex _ name ='\ gamma') | [
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def test _ related _ jobs ( self ) : job _ post _ 1 = create _ job ( title = " job 1 ", category = job _ category _ choices. design, company = self. test _ company ) job _ post _ 2 = create _ job ( title = " job 2 ", category = job _ category _ choices. design, company = self. test _ company ) response = self. client. ... | [
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def _ _ init _ _ ( self, ox, oy, reso, rr ) : self. reso = reso self. rr = rr self. calc _ obstacle _ map ( ox, oy ) self. motion = self. get _ motion _ model ( ) | [
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def create _ grism _ wavelengthrange ( outname = " niriss _ wavelengthrange. asdf ", history = " niriss grism - fiter wavelengthrange ", author = " stsci ", module = " n / a ", pupil = " n / a ", wavelengthrange = none, extract _ orders = none ) : ref _ kw = common _ reference _ file _ keywords ( reftype = " wavelength... | [
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def private _ link _ service _ connection _ state ( self ) - >'outputs. privatelinkserviceconnectionstateresponse': return pulumi. get ( self, " private _ link _ service _ connection _ state " ) | [
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def now ( ) : if timezone : return timezone. now ( ) return datetime. now ( ) | [
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def vpc _ peering _ connection _ id ( self ) - > optional [ pulumi. input [ str ] ] : return pulumi. get ( self, " vpc _ peering _ connection _ id " ) | [
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def find _ header _ files ( hdr _ files, incl _ paths ) : result = [ ] processed _ files = set ( ) new _ files = set ( ) included _ src = { } while true : for hdr _ file in hdr _ files : if hdr _ file in processed _ files : continue processed _ files. add ( hdr _ file ) full _ path = find _ file ( hdr _ file, incl _ pa... | [
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async def stream _ async ( self, status : union [ " hostednumberorderinstance. status ", object ] = values. unset, sms _ capability : union [ bool, object ] = values. unset, phone _ number : union [ str, object ] = values. unset, incoming _ phone _ number _ sid : union [ str, object ] = values. unset, friendly _ name :... | [
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def elwise _ kernel _ runner ( kernel _ getter ) : def kernel _ runner ( * args, * * kwargs ) : repr _ ary = args [ 0 ] queue = kwargs. pop ( " queue ", none ) or repr _ ary. queue wait _ for = kwargs. pop ( " wait _ for ", none ) # wait _ for must be a copy, because we modify it in - place below if wait _ for is none ... | [
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def fetch _ url ( url, dirpath ) : file _ name = url. split ('/') [ - 1 ] u = urllib2. urlopen ( url ) f = open ( os. path. join ( dirpath, file _ name ),'wb') meta = u. info ( ) log. debug ( " meta : % s " % meta ) file _ size ='' if meta. getheaders ( " content - length " ) : file _ size = int ( meta. getheaders ( " ... | [
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def get _ colors ( self, num _ lights = 1 ) - > list [ color ] : splits = even _ split ( range ( num _ lights ), self. sum _ weights ) random. shuffle ( splits ) splits _ iter = iter ( splits ) res = [ ] for c, weight in self. _ color _ weights. items ( ) : for _, split in zip ( range ( weight ), splits _ iter ) : res.... | [
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def ls ( self ) : # enables colorama and autoreset the color of the cmd colorama. init ( autoreset = true ) # wait untill all the files and folders are avaible in webpage elements = self. driver. find _ elements _ by _ xpath ( " / / div [ @ data - item - index ] " ) while len ( elements ) = = 0 : elements = self. drive... | [
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def create _ pre _ trained _ embedding _ matrix ( f _ pre _ trained _ embed, word2index, suffix ) : # filter for performance reasons ( big file... ) f _ pre _ trained _ embed _ filter = f _ pre _ trained _ embed. replace ( ". txt ", ". filtered { }. txt ". format ( suffix ) ) filterwordembedding ( f _ pre _ trained _ e... | [
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def max ( self ) : return self. apply ( max ) | [
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def get ( self ) : env = os. environ self. rendertemplate ('landing. html ', {'user': self. getuserinfo ( ) } ) | [
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def _ init ( self ) : # cells grid. each item is either 0 for a dead cell or 1 for a live # one. self. cells = np. zeros ( ( self. width, self. height ), dtype = np. int8 ) | [
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def identity ( payload ) : user _ id = payload ['identity'] return usermodel. find _ by _ id ( user _ id ) | [
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async def test _ no _ services ( hass : homeassistant ) - > none : result1 = await hass. config _ entries. flow. async _ init ( domain, context = { " source " : config _ entries. source _ user } ) assert result1 [ " type " ] = = flowresulttype. form assert result1 [ " errors " ] is none with patch ( " aussiebb. asyncio... | [
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def options ( self ) : return self. cf. options ( self. main _ section ) | [
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def _ _ init _ _ ( self, year1, year2 ) : self. year1 = year1 self. year2 = year2 | [
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def wait ( self, image, timeout = none ) : self. _ entitycopies [ image. id ] = copy. copy ( image ) if timeout is none : self. _ wait ( image ) else : result = self. _ timeout ( self. _ wait, ( image, ), timeout _ duration = timeout / 1000. 0 ) | [
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def select _ cam _ device _ num ( ) - > int : print ('[ camera device ]') print ('checking camera devices...') cam _ list = get _ cams _ list ( ) print ('= > ', cam _ list ) device _ num = int ( get _ ans ('select one camera device ( { } ) : '. format ( list _ to _ comma _ str ( cam _ list ) ), cam _ list ) ) return de... | [
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def get _ targets ( self ) : return self. _ to _ dense _ design _ matrix ( ) [ 1 ] | [
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def validate ( self, attrs : dict ) - > any : collection = attrs [ " collection " ] collection _ use _ case, collection _ food _ type, * other = collection. split ( " _ " ) check _ use _ cases = measurement. objects. order _ by ( " use _ case " ). distinct ( " use _ case " ). values _ list ( " use _ case ", " food _ ty... | [
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def create _ programmer ( board, * args, * * kwargs ) : # for now, always create an sspi interface. # we can take an'interface'argument later to differentiate. return spiflash ( board, * args, * * kwargs ) | [
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def generate _ images ( dataframe ) : # find the row with the parameters that generated the highest r11 max _ r _ 11 = np. max ( dataframe ['r _ 11'] ) max _ r _ 11 _ combo = dataframe [ dataframe ['r _ 11'] = = max _ r _ 11 ] image _ dict = { } true _ galaxy = max _ r _ 11 _ combo ['original _ gal']. values [ 0 ] imag... | [
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def display ( self ) : self. viewer. display ( self. tournament, self. turn ) | [
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def find _ intense _ points ( lidar, th = none ) : # th = lidar [ int ] > np. median ( lidar [ int ] [ lidar [ int ] > np. median ( lidar [ int ] ) ] ) if th is none : th = 210 t = lidar [ int ] > th filtered _ int = lidar [ int ] filtered _ long = lidar [ long ] filtered _ lat = lidar [ lat ] filtered _ elev = lidar [... | [
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def save ( self, path _ dest : any, canvas _ cls : type [ figurecanvasbase ] | none = none, * * params, ) - > none : # ensure destination path if folder does not exist if ( isinstance ( path _ dest, ( str, path ) ) and not path ( path _ dest ). parent. exists ( ) ) : path ( path _ dest ). parent. mkdir ( parents = true... | [
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def tag _ noun ( node, context ) : return do _ noun ( word _ from _ file ('data / nouns'), node. attribute. split ( ) ) | [
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def explode ( self, columns : " union [ str, list [ str ] ] " ) - > " dataframe " : if isinstance ( columns, str ) : columns = [ columns ] return wrap _ df ( self. _ df. explode ( columns ) ) | [
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def get _ logger ( filename = none ) : import logging import inspect # get caller's filename to use as log file name. frame = inspect. stack ( ) [ 1 ] # caller frame filename _ with _ extension = os. path. basename ( inspect. getfile ( frame [ 0 ] ) ) filename = filename _ with _ extension. split ( '.') [ 0 ] log _ dir... | [
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def imagetoarray ( i ) : a = gdalnumeric. fromstring ( i. tobytes ( ),'b') a. shape = i. im. size [ 1 ], i. im. size [ 0 ] return a | [
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def add ( self, agent ) : self. agents. append ( agent ) agent _ class = type ( agent ) self. agents _ by _ type [ agent _ class ]. append ( agent ) | [
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def get _ login _ by _ sid ( self, sid ) : log _ list = login ( self. db ). list ( session _ id = sid ) if len ( log _ list ) = = 0 : return none return log _ list [ 0 ] | [
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def to _ python ( self, value ) : return value | [
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def word _ search ( board, word ) : width = len ( board [ 0 ] ) height = len ( board ) def search _ helper ( word _ part, y, x, seen ) : " " " recursive search function called once initial character found. " " " to _ check = [ ] if ( y - 1 ) > = 0 and ( ( y - 1 ), x ) not in seen : to _ check. append ( ( y - 1, x ) ) i... | [
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def logout ( request ) : auth _ logout ( request ) # info ( request, _ ( " successfully logged out - come back soon! " ) ) return redirect ( " / " ) | [
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def actions _ required ( self ) - > optional [ str ] : return pulumi. get ( self, " actions _ required " ) | [
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def clip _ to _ image _ transform ( self ) : return clip _ to _ image _ transform ( self. width, self. height ) | [
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def setinputs ( self, * * inputs ) : for key in inputs : # to support both upper and lower case if key. lower ( ) = = " j " : # to support both numerical / boolean values or connector # instances if isinstance ( inputs [ key ], connector ) : self. j = inputs [ key ] else : self. j. state = int ( inputs [ key ] ) elif k... | [
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def swift _ format _ of _ message ( mt _ type ) : mt _ type = str ( mt _ type ) if re. match ( r " ^ ( mt ) { 0, 1 } \ d { 3 } ( cov ) { 0, 1 } $ ", mt _ type ) is not none : # starts optionally with mt. followed by 3 digits. ends optionally with cov. return'mt'elif re. match ( r " ^ [ a - za - z ] { 4 } [ a - za - z0 ... | [
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def guardar _ accion ( self, ruta _ cancion, accion ) : self. acciones _ tomadas. apilar ( ( ruta _ cancion, accion ) ) | [
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def transaction _ details ( request ) : if request. method = ='get': info = transfer. objects. filter ( tracking _ id = request. get ['tracking _ id'] ). first ( ) content = {'title':'transfer details'} content ['track _ id'] = info. tracking _ id content ['from _ to'] = " from { 0 } - to { 1 } ". format ( ( info. app.... | [
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def test _ load _ cow ( self ) : glb = data _ dir / " cow. glb " self. asserttrue ( glb. is _ file ( ) ) device = torch. device ( " cuda : 0 " ) mesh = _ load ( glb, device = device ) self. assertequal ( mesh. device, device ) self. assertequal ( mesh. faces _ packed ( ). shape, ( 5856, 3 ) ) self. assertequal ( mesh. ... | [
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def _ _ init _ _ ( self ) : self. students = [ ] # list of student objects self. grades = { } # map id _ num - > list of grades self. is _ sorted = true # true uf self. student is sorted | [
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def reset _ message _ subscription ( self, stream, subscription, message _ id, local = false ) : if self. persistent : url _ endpoint ='/ streams / persistent / stream / { } / subscription / { }? local = { } '. format ( stream, subscription, local ) # else : # url _ endpoint ='/ streams / non - persistent / stream / { ... | [
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def read _ and _ measure _ time ( path ) : start _ time = time. time ( ) try : f = open ( path,'rb') data = f. read ( ) return data except filenotfounderror as err : logger. error ( err ) raise else : f. close ( ) finally : stop _ time = time. time ( ) dt = stop _ time - start _ time logger. info ( " time required for ... | [
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def player _ search _ name ( self, player _ name, player _ type = " current " ) : url = " http : / / www. nfl. com / players / search? " params = { " category " : " name ", " filter " : player _ name, " playertype " : player _ type } return self. get ( url, params = params ) | [
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def summarize _ data _ artifact ( self, input _ artifact _ path, output _ visualization _ path ) : subprocess. run ( ['qiime ','demux ','summarize ','- - i - data ', input _ artifact _ path,'- - o - visualization ', output _ visualization _ path ] ) return output _ visualization _ path | [
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async def test _ alarm _ state ( v3 _ server ) : async with aiohttp. clientsession ( ) as session : simplisafe = await get _ api ( test _ email, test _ password, session = session, client _ id = test _ client _ id ) systems = await simplisafe. get _ systems ( ) system = systems [ test _ system _ id ] assert system. sta... | [
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def load _ folder ( path ) : files = glob ( path + " / *. npy " ) loaded = { t _ name ( f ) : np. load ( f ) for f in tqdm ( files ) } # tt = [ loaded [ t _ name ( f ) ]. shape for f in files ] # import pdb ; pdb. set _ trace ( ) # checks sizes how they go down return loaded | [
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def parse _ file ( filename ) : all _ series = [ ] with open ( filename ) as f : for line in f : line = [ int ( i ) for i in line. strip ( ) ] all _ series. append ( line ) f. close ( ) return all _ series | [
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def evolutionvectorfornode ( self, nodeid ) : v = np. zeros ( len ( self. _ sortednodes ) ) v [ nodeid ] = 1 return ( v ) | [
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def _ generate _ random _ calibration _ logits ( self, nsamples, nclasses ) : tf. random. set _ seed ( 1 ) logits = 2. 0 * tf. random. normal ( ( nsamples, nclasses ) ) py = tfp. distributions. categorical ( logits = logits ) labels = py. sample ( ) logits _ other = 2. 0 * tf. random. normal ( ( nsamples, nclasses ) ) ... | [
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def video _ body ( select _ port : optional [ serial ], mouse _ info : mouseinfo, camera _ info : deviceinfo, save _ video : bool, save _ csv : bool, frame _ color : bool ) - > none : cap = cv2. videocapture ( sys. argv [ 1 ] if len ( sys. argv ) = = 2 and os. path. isfile ( sys. argv [ 1 ] ) else camera _ info. num ) ... | [
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def get _ game ( self, request ) : game = get _ by _ urlsafe ( request. urlsafe _ game _ key, game ) if game : if game. game _ over : return game. to _ form ('this game has ended') else : return game. to _ form ('game ongoing. time to make a move!') else : raise endpoints. notfoundexception ('game not found!') | [
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def getstartindex ( self ) : return _ itkimageserieswriterpython. itkimageserieswriteriuc3iuc2 _ getstartindex ( self ) | [
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def wtf _ fail _ json ( self, * * kwargs ) : self. add _ path _ info ( kwargs ) kwargs. setdefault ('failed ', true ) kwargs. setdefault ('invocation ', {'module _ args': self. params } ) kwargs = ansible. module _ utils. basic. remove _ values ( kwargs, self. no _ log _ values ) self. do _ cleanup _ files ( ) raise mo... | [
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def signal _ windows ( sections, start, end, warn = false ) : import numpy as np early _ section = sections < start late _ section = sections > end if any ( early _ section. flatten ( ) ) > 0 : start = 0 if warn : print ( " warning : window starts before start point, new start point is " + str ( start ) ) if any ( late... | [
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def parse _ deps _ from _ path ( self, infile _ path, classpath _ indexer ) : with open ( infile _ path,'r') as infile : return self. parse _ deps ( infile, classpath _ indexer ) | [
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def get _ commit _ by _ id ( self, commit _ id ) : raise notimplementederror | [
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def print _ report ( self, data ) : context = ( self. _ context or { } ) datas = {'ids': context. get ('active _ ids ', [ ] ) } res = self. read ( ) res = res and res [ 0 ] or { } datas. update ( {'form': res } ) if datas ['form']. get ('xls _ output ', false ) : obj _ pr = self. env ['report. ng _ hr _ payroll. payrol... | [
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def getglobvalue ( globs, path ) : import fnmatch result = none for glob in globs : if fnmatch. fnmatchcase ( path, glob [ 0 ] ) : result = glob [ 1 ] break return result | [
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... |
def stream ( self, status : union [ " hostednumberorderinstance. status ", object ] = values. unset, sms _ capability : union [ bool, object ] = values. unset, phone _ number : union [ str, object ] = values. unset, incoming _ phone _ number _ sid : union [ str, object ] = values. unset, friendly _ name : union [ str, ... | [
0.11986096203327179,
0.4390954077243805,
0.5468589067459106,
0.26479238271713257,
-0.21033824980258942,
0.3209194242954254,
-0.8418781161308289,
0.025906328111886978,
0.27125462889671326,
-0.29256442189216614,
-0.2796662151813507,
0.7443416714668274,
-0.21504569053649902,
-0.00131636683363... |
def chunks ( l, n ) : for i in range ( 0, len ( l ), n ) : yield l [ i : i + n ] | [
-0.28746387362480164,
0.5728985071182251,
0.39129555225372314,
-0.017833421006798744,
-0.16806411743164062,
0.5943106412887573,
-1.019998550415039,
-0.4482986330986023,
-0.38011443614959717,
-0.7051392793655396,
-0.6505395174026489,
-0.3429281711578369,
0.0986400693655014,
0.60941970348358... |
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