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async def listen _ for _ new _ credentials ( self, callback _ function = none, timeout = none ) : url = " { } { } : { } / ws / credentials / new / current _ operation ". format ( self. _ ws, self. _ server _ ip, self. _ server _ port ) if callback _ function : task = await self. stream _ output ( url, callback _ functi...
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def parse _ arguments ( ) : parser = argparse. argumentparser ( description ='check a consul service health') parser. add _ argument ('- t ','- - token ', default = none ) parser. add _ argument ('service') parser. add _ argument ('- h ','- - host ', default ='localhost') parser. add _ argument ('- p ','- - port ', def...
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def remove ( self, job ) : logging. debug ('attempt to remove job'+ str ( job ) ) self. lock. acquire ( ) try : if job is self. running : logging. debug ('job'+ str ( job ) +'is running. attempt stop.') job. stop ( ) logging. debug ('job'+ str ( job ) +'removed.') else : if not job in self. queue : logging. debug ('job...
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def test _ create _ phone _ number ( lst, phone _ number ) : from create _ phone _ number import create _ phone _ number _ func assert create _ phone _ number _ func ( lst ) = = phone _ number
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def mouse _ rgb ( event, x, y, flag, param ) : b = image [ y, x, 0 ] g = image [ y, x, 1 ] r = image [ y, x, 2 ] if event = = cv2. event _ mousemove : current _ color [ : ] = [ b, g, r ] elif event = = cv2. event _ lbuttondown : selected _ color [ : ] = [ b, g, r ]
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async def get _ all _ disabled _ commands _ profiles ( self ) - > mythicresponse : url = " { } { } : { } / api / v { } / operations / disabled _ commands _ profiles ". format ( self. _ http, self. server _ ip, self. _ server _ port, self. _ server _ api _ version ) resp = await self. get _ json ( url ) if resp. respons...
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def test _ profile _ looks _ up _ subs _ by _ logged _ in _ user ( authn _ policy, subscriptions _ model ) : request = dummyrequest ( ) authn _ policy. authenticated _ userid. return _ value = " acct : foo @ bar. com " profilecontroller ( request ). profile ( ) subscriptions _ model. get _ subscriptions _ for _ uri. as...
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def create _ instance ( self ) : raise notimplementederror ('subclasses must define this method.')
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def get _ mt _ pyobject _ from _ confirmation ( confirmation ) : mt _ swift _ py _ obj = none custom _ data = dict ( ) if confirmation : if confirmation. isinfant ( ) and confirmation. oid ( ) < 0 : mt _ type = get _ mt _ type _ from _ acm _ obj ( confirmation ) if mt _ type : mt _ type = " mt " + str ( mt _ type ) fmt...
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def to _ fhir _ json ( msdf : mappingsetdataframe ) - > dict : df : pd. dataframe = msdf. df # intermediary variables metadata : dict [ str, any ] = msdf. metadata if msdf. metadata is not none else { } mapping _ set _ id = metadata. get ( " mapping _ set _ id ", " " ) name : str = mapping _ set _ id. split ( " / " ) [...
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def _ _ init _ _ ( self, source, readonly = false ) : self. _ readonly = readonly if isinstance ( source, str ) : self. _ tree = _ generatetree ( source ) elif isinstance ( source, _ node ) : # for internal use only. self. _ tree = source else : raise typeerror, " melds must be constructed from ascii strings "
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def func _ real _ sensor _ position ( geo _ shape : str ) - > tuple : start _ sensor = ( format _ lat _ lon ( geo _ shape [ 1 ]. find ('lat'). text, geo _ shape [ 1 ]. find ('long'). text ) ) end _ sensor = ( format _ lat _ lon ( geo _ shape [ 2 ]. find ('lat'). text, geo _ shape [ 2 ]. find ('long'). text ) ) real _ s...
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def register ( ) : requests. post ( register _ url, json = {'github': github,'token': token } )
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def get _ external _ value _ using _ ael ( recon _ item ) : externalvaluesencoded = recon _ item. external _ values archive = acm. fxmlarchive ( ) archive. load ( externalvaluesencoded ) externalvalues = archive. contents ( ) if externalvalues and externalvalues. at ('externalvalues') : externalvalues = externalvalues....
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def googlenet ( pretrained = false, * * kwargs ) : if pretrained : if'transform _ input'not in kwargs : kwargs ['transform _ input'] = true if'aux _ logits'not in kwargs : kwargs ['aux _ logits'] = false if kwargs ['aux _ logits'] : warnings. warn ('auxiliary heads in the pretrained googlenet model are not pretrained,'...
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def load _ data ( messages _ filepath, categories _ filepath ) : # load messages dataset messages = pd. read _ csv ( messages _ filepath ) # load categories dataset categories = pd. read _ csv ( categories _ filepath ) # merge datasets df = pd. merge ( messages, categories, on ='id') # df = messages. merge ( categories...
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def sendmessage ( dataframe, smtp _ server, smtp _ port, sender _ login, sender _ password, reciever _ email, subject, begin _ message ) : length = len ( dataframe. index ) if ( length % 10 ) = = 1 and ( length % 100 )! = 11 : finalofmessage = " строку. " elif ( length % 10 ) < 5 and ( length % 10 ) > 1 and ( ( length ...
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def beamsearch ( nqueennum, numstates = 10, stoplimit = 1000 ) : currstates = [ ] for i in range ( numstates ) : nextstate = nqueens ( nqueennum ) nextstate. setprintmode ( full = false ) currstates. append ( nextstate ) maxvalue = currstates [ 0 ]. getmaxvalue ( ) sortbyvalue ( currstates ) count = 0 foundoptimal = fa...
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def replace _ baseline ( self, selection, newcomponentversionbaseline ) : text = selection. text p = re. compile ( r'baseline \ s * = \ s * " [ ^ " ] * " ', re. ignorecase ) matches = p. findall ( text ) replaced = false if matches : if len ( matches ) > 1 : print " not replacing baseline, where it is several times in ...
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def is _ a _ quadratic _ residue ( self, a ) : if not isinstance ( a, integersmoduloprimeelement ) : raise valueerror ( " only check an object " ) return legendre ( a. val, self. mod ) = = 1
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def configured ( self ) - > pulumi. input [ bool ] : return pulumi. get ( self, " configured " )
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def calc _ delta ( d1, t, callput, q = 0. 00 ) : # https : / / github. com / 732jhy / delta - hedging / blob / master / delta % 20hedging % 20sim. ipynb callput = callput. upper ( ) if callput = ='call': delta1 = stats. norm. cdf ( d1 ) * np. exp ( - q * t ) elif callput = ='put': delta1 = ( stats. norm. cdf ( d1 ) * n...
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def run _ sensitivity _ analysis ( method, fun, variable, * args, * * kwargs ) : from pyapprox. surrogates. polychaos. adaptive _ polynomial _ chaos import ( adaptiveinducedpce ) from pyapprox. surrogates. interp. adaptive _ sparse _ grid import ( combinationsparsegrid ) if method = = " surrogate _ sobol " : if issubcl...
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def flatten ( self ) - > list [ list [ tuple [ int, int, int ] ] ] : # base case has an extra condition for unit cell if len ( self. children ) = = 0 : if self. level! = self. max _ depth : sol = [ ] for _ in range ( 2 * * ( self. max _ depth - self. level ) ) : temp = [ self. colour ] * ( 2 * * ( self. max _ depth - s...
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def _ _ init _ _ ( self, value = 0, per _ channel = false, name = none, deterministic = false, random _ state = none ) : self. value = value
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def handle _ command ( command, channel ) : response ='not sure what you mean. available commands : \ n ` random ` to get a random restaurant \ n ` random _ number _ ` to get a random restaurant from a category \ n ` categories ` to list available restaurant categories'if command. startswith ('categories') : response =...
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def find _ mates ( ref _ r2 _ file _ piece ) : ref _ ip _ dir = " tmp _ r2 _ pieces " ref _ ip _ file = ref _ ip _ dir + " / " + ref _ r2 _ file _ piece to _ lookup _ dir = " op _ tmp _ r1 _ pieces _ after _ classify " classed _ as _ y _ ip _ r1 _ file = ref _ r2 _ file _ piece + " _ op _ r1 " r1 _ file = to _ lookup _...
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def tenant _ id ( self ) - > str : return pulumi. get ( self, " tenant _ id " )
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def install _ openlayers ( ) : ol _ dir ='/ var / www / openlayers'cmd ='svn checkout http : / / svn. openlayers. org / trunk / openlayers / % s'% ol _ dir run ( cmd, verbose = true ) cmd ='chown - r www - data : www - data % s'% ol _ dir run ( cmd, verbose = true )
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def stochasticuniversalsampling ( self ) : # calculation of new fitness and sum of fitness new _ fitness = [ ] # sum _ of _ fitness = 0 unit = 1 / self. popsize # print ( " unit : ", unit ) for i in range ( self. popsize ) : calc _ fitness = 1 / ( self. matingpool [ i ]. fitness ) sum _ of _ fitness + = calc _ fitness ...
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def applyshifts ( sc, regdict, optimization = false, shifts = none, usegroupshifts = false ) : if shifts is none : shifts = regdict ['newshifts'] flylines = regdict ['flylines'] allshiftsarraybc = sc. broadcast ( shifts ) def xyvolumeplanaralign ( kv ) : key, im = kv key = np. array ( key [ 0 ] ). astype ( int ) from s...
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def address ( self ) : return self. _ addr
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def get _ decoder _ 1step _ net ( prev _ state, emb _ token ) : l _ dec = lstmlayer ( incoming = emb _ token, num _ units = hidden _ layer _ dimension, hid _ init = prev _ state, grad _ clipping = grad _ clip, nonlinearity = lasagne. nonlinearities. tanh, only _ return _ final = true, name = " lstm _ decoder " ) l _ de...
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def _ statistic ( self ) - > transformation : cls = self ['aggregate'] try : obj = cls ( * * { key : value for key, value in self. items ( ) if key not in ['aggregate ','input ','group _ by'] } ) except typeerror : raise virtualproductexception ( " transformation { } could not be instantiated ". format ( cls ) ) self. ...
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def frequency ( g, k, h ) : omega = np. sqrt ( g * k * np. tanh ( k * h ) ) return omega
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def fill _ address _ form ( self, address : addressbook ) - > " addaddresspage " : self. _ change _ text _ field _ data ( self. driver. find _ element ( * addaddresslocators. firstname _ field ), address. first _ name ) self. _ change _ text _ field _ data ( self. driver. find _ element ( * addaddresslocators. lastname...
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def remove _ drink ( data ) : drink = data ['drink'] drinks = list. query. get ( data ['list _ id'] ). drinks if int ( drink ['drink _ id'] ) in [ drink. drink _ id for drink in drinks ] : list _ drink. query. filter ( and _ ( list _ drink. drink _ id = = drink ['drink _ id'], list _ drink. list _ id = = data ['list _ ...
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def process ( cdr _ xml _ str ) : cleaned = cdr _ xml _ str. encode ('ascii ','replace') logger. debug ( cleaned ) dom = minidom. parsestring ( cleaned ) # first try to use the account _ id ( which is set in the dialplan. xml # template ). if that fails, fallback to " domain _ name ", which # is set in the " web dialou...
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def other ( self, data ) : logging. error ('{ 0 } : unrecognized action { 1 } '. format ( self. name, data ['action'] ) ) return false
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def readdata ( s, type, strict = false ) : import units, string out = [ ] data = string. split ( s, ',') if strict and len ( data )! = len ( type ) : raise runtimeerror, " data do not match type specifier % s \ ndata :'% s'" % ( type, s ) for t, d in zip ( type, data ) : # print ( t, d ) if len ( d ) = = 0 : break v = ...
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def is _ cpo _ expr ( expr, type = none ) : return isinstance ( expr, cpoexpr ) and ( type is none or expr. type = = type )
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def read _ league _ results ( num _ rounds ) : for i in range ( num _ rounds ) : read _ round _ results ( " resultados _ rodada " + str ( i + 1 ) )
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def _ parse ( self ) : self. _ argdict = vars ( self. _ parser. parse _ args ( ) ) if self. help : self. _ parser. print _ help ( ) sys. exit ( 1 )
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def build _ weighted _ dann _ loss ( source _ tensor, target _ tensor, nodes, weight, variables, scope = none ) : with tf. variable _ scope ( scope ) : source _ batch _ size = tf. shape ( source _ tensor ) [ 0 ] target _ batch _ size = tf. shape ( target _ tensor ) [ 0 ] samples = tf. concat ( axis = 0, values = [ sour...
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def load _ territory ( t _ id ) : added _ count = 0 for doc in get _ new _ docs ( t _ id ) : add _ address ( t _ id, doc ) added _ count = added _ count + 1 return added _ count
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def expandpalindromes ( c, st, out ) : for str in st : out. add ( str ) out. add ( c + str + c )
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def diagonalise ( density _ matrix, option = 0 ) : if option = = 0 : return eig ( density _ matrix. toarray ( ) ) if option = = 1 : return eigh ( density _ matrix. toarray ( ), eigvals _ only = true )
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def main ( ) : # if we have command line params, parse them and exit if len ( sys. argv ) > 1 : args = sys. argv [ 1 : ] do _ command ( args ) exit ( ) # else we'll run our own interactive cli # readline histfile = os. path. join ( os. environ [ " home " ], ". installerhist " ) try : readline. read _ history _ file ( h...
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def get _ name ( player _ posn ) : return players [ player _ posn ] ['name']. title ( )
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def player _ play ( player _ posn, hand _ num = 0 ) : while get _ player _ status ( player _ posn, hand _ num ) = ='playing': print _ board ( false, player _ posn, hand _ num ) print ( " { }'s turn - hand { } \ n ". format ( get _ name ( player _ posn ), hand _ num + 1 ) ) if check _ 21 ( player _ posn, hand _ num ) : ...
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def setdatfilelist ( self, lastdatfile ) : i = 0 while self. dirlist [ i ]! = lastdatfile : i = i + 1 self. dirlist = self. dirlist [ i : ]
[ -1.0316569805145264, 0.2996138632297516, 0.7072898745536804, -0.10927735269069672, 0.5131320357322693, 0.4948331117630005, 0.9857303500175476, 0.3219183087348938, 0.2831951677799225, -0.1880187839269638, -1.186286449432373, 0.7323446869850159, -0.17129427194595337, 0.8601679801940918, -0...
def pick _ random _ parents ( pop ) : mom = random. choice ( pop ) dad = random. choice ( pop ) return mom, dad
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def increment _ login _ attempts ( self ) : self. login _ attempts + = 1
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def update _ prices ( self, tickers, update = false, refresh = false ) : # we use the fast psycopg2 connection conn = self. metadata. bind. raw _ connection ( ) cur = conn. cursor ( ) for ticker in tickers : ( headers, mempage ) = self. pull _ tickerdata ( ticker, self. daysback ) ticker = ticker. replace ('% 5e ','' )...
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def run ( self ) : return self
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def sell _ product ( args ) : with open ('products. csv ', newline ='' ) as csv _ file : product _ reader = csv. dictreader ( csv _ file ) all _ products = [ product for product in product _ reader ] # non - perishable goods to be sold are filtered based on being # non - expiring and perishable goods are filtered based...
[ -0.8420894145965576, -1.069478154182434, 0.6486526131629944, 0.23461943864822388, 0.3726232647895813, 1.1794906854629517, -0.3693659007549286, -0.2970508337020874, -0.2705494165420532, 0.48863106966018677, 0.3411310017108917, 0.462663859128952, -0.22171464562416077, -0.0924416035413742, ...
def download _ iers ( out _ days = 7, dir _ to = none ) : if dir _ to is none : home = str ( path. home ( ) ) dir _ to = home +'/ src / iers /'eop _ file ='finals2000a. all'leapsecond _ file ='leap _ second. dat'dir _ eop _ file = dir _ to + eop _ file dir _ leapsecond _ file = dir _ to + leapsecond _ file url _ eop ='...
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def fix _ eux _ ice _ first _ bar _ volume ( repo _ l1 = '. / repo _ l1 ', repo _ hist = '. / repo ', sday = none, eday = none ) : if sday is none : sday ='00000000'if eday is none : eday ='99999999'eur _ sym = l1. ven _ sym _ map ['eux'] ice _ sym = l1. ven _ sym _ map ['ice'] # for sym in eur _ sym + ice _ sym : for ...
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def menu ( shooters ) : while 1 : result = player _ menu ( shooters ) print result selection = result [ 0 ] status = result [ 1 ] print " selection : " + ` selection ` print " status : " + ` status ` if status = ='shoot'and selection! = - 1 : shooter = shooters [ selection ] newscore = letshoot ( shooter ) print " curr...
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def test _ rotation ( ) : tests = [ ( 0, 0, 1 ), ( 0. 5, 0. 5, 0. 5 ), ( np. pi, 0, - 1. 5 ) ] for rot in tests : x, y, z = rot m = rotation3d ( x, y, z ) m4 = rotation ( x, y, z ) assert _ array _ equal ( m, m4 [ : 3, : 3 ] ) back = rotation _ angles ( m ) assert _ almost _ equal ( actual = back, desired = rot, decima...
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def check _ if _ exists ( path _ to _ check, create = false ) : if not os. path. exists ( path _ to _ check ) : if create : pathlib. path ( path _ to _ check ). mkdir ( parents = true, exist _ ok = true ) return print ( f " { path _ to _ check } created " ) else : return none else : return true
[ -0.1386774182319641, 0.49040108919143677, 0.6612488031387329, 0.38606271147727966, 0.7996293306350708, 1.2677068710327148, 0.5479311943054199, -0.4407974183559418, -0.6173420548439026, -0.6193061470985413, 0.48386257886886597, -0.5663278102874756, -0.2192731499671936, -0.1319042444229126, ...
def listerfichiers ( ftp ) : ret = [ ] ftp. dir ( " ", ret. append ) ret = [ x. split ( ) [ - 1 ] for x in ret if x. startswith ( " - " ) ] return ret
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def run _ svm _ full ( x _ train, y _ train, x _ test, y _ test, randseed, i, param _ grid, n _ trials, timeout, do _ plot, full _ path, training _ subsample, use _ uniform _ fi, primary _ metric ) : # check whether hyperparameters are fixed ( i. e. no hyperparameter sweep required ) or whether a set / range of values ...
[ 0.34546709060668945, 0.7045440673828125, 1.0818229913711548, 0.9690038561820984, -0.21046648919582367, 0.09839887171983719, 0.40457242727279663, 0.7406463623046875, -0.0831475704908371, 0.5033388733863831, 0.34935009479522705, 0.4456787705421448, 0.41516801714897156, -0.0837082490324974, ...
def comp ( self, input1, option ) : if isinstance ( input1, list ) : input1 =''. join ( map ( str, input1 ) ) elif not isinstance ( input1, str ) : input1 = str ( input1 ) result = bin ( int ( input1, 2 ) ^ int ( len ( input1 ) *'1 ', 2 ) ) [ 2 : ] temp = bin ( int ( result, 2 ) + int ('1 ', 2 ) ) [ 2 : ] if str ( opti...
[ -0.45268645882606506, -0.057481780648231506, 0.8238523602485657, 0.7650106549263, -0.22279079258441925, 0.5338447093963623, 1.1446770429611206, 0.5413851737976074, 0.8039782047271729, 0.19102008640766144, -0.330727219581604, -0.4285920560359955, -1.1261106729507446, 0.38709020614624023, ...
def get _ most _ likely ( self ) : highest _ prob = np. amax ( self. trans _ matrix ) indices = np. where ( self. trans _ matrix = = highest _ prob ) goals = list ( zip ( indices [ 1 ], indices [ 0 ] ) ) return highest _ prob, goals
[ -0.2886108458042145, -0.43568864464759827, 0.6066081523895264, 0.7693954706192017, 0.16647052764892578, -0.2616836428642273, -0.5692043304443359, 0.2407495230436325, -0.2676502764225006, 0.43288666009902954, 0.5204958915710449, -0.1873796135187149, 0.013762039132416248, 0.22197401523590088...
def init _ subscriber ( self, frame _ 1, frame _ 2, frame _ 3 ) : self. frame _ robot = frame _ 1 self. frame _ sensor = frame _ 2 self. frame _ global = frame _ 3 rospy. subscriber ( self. pc2 _ topic, pointcloud2, self. online _ mode ) rospy. spin ( )
[ 0.6499282717704773, -0.5884044766426086, 0.5277891159057617, 1.0410078763961792, 0.9003304839134216, 0.36480528116226196, -0.77131587266922, 0.18247541785240173, -0.8885505199432373, -0.18179479241371155, -0.43319907784461975, -0.05119069665670395, -0.6729106307029724, 0.3642842173576355, ...
def gf _ sub _ mul ( f, g, h, p ) : return gf _ sub ( f, gf _ mul ( g, h, p ), p )
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def spec ( self ) : self. _ _ spec = ( " [ { 0 } ] ". format ( _ _ name _ _ ), " host = string ( default ='127. 0. 0. 1') ", " port = integer ( 1, 65535, default = 80 ) ", " timeout = integer ( 0, 600, default = 3 ) ", " status _ uri = string ( default ='/ status') ", " user = string ( default = none ) ", " password = ...
[ 0.37155085802078247, 0.18813380599021912, 0.524111270904541, -0.09972746670246124, 0.10013307631015778, -0.13838163018226624, -0.21109899878501892, -0.17731347680091858, -0.5625396966934204, 0.24851465225219727, -0.29272741079330444, -0.5949448943138123, -0.3910837769508362, 0.413235604763...
def _ set _ edge _ weights ( self ) : # mapping node id's to their positions, so we don't have to search later id _ to _ pos _ map = { } for node in self. nodes : id _ to _ pos _ map [ node. get _ id ( ) ] = node. get _ pos ( ) for i, edge in enumerate ( self. edges ) : xs, ys = id _ to _ pos _ map [ edge. get _ source...
[ -0.43427732586860657, -1.0635747909545898, 0.3599027693271637, -1.0425883531570435, 0.349505752325058, 0.2550276815891266, 0.4013853967189789, 0.49809935688972473, -0.7772796154022217, 1.1426275968551636, -0.2726214826107025, -0.1340540647506714, 0.3831701874732971, 0.13186605274677277, ...
def get _ table _ index ( table, t, direction, split _ text = false, flag _ size = false, strip _ text = " " ) : r _ idx, c _ idx = [ - 1 ] * 2 for r in range ( len ( table. rows ) ) : if ( t. y0 + t. y1 ) / 2. 0 < table. rows [ r ] [ 0 ] and ( t. y0 + t. y1 ) / 2. 0 > table. rows [ r ] [ 1 ] : lt _ col _ overlap = [ ]...
[ -0.2203357219696045, -0.884045422077179, 0.9245635271072388, 0.10326100885868073, -0.6713850498199463, 0.3145360052585602, 1.2771273851394653, 0.21435704827308655, -1.1167047023773193, 0.6456872224807739, -0.748326301574707, -0.05514137074351311, 0.4995644986629486, -0.4737485349178314, ...
def bind _ endpoint ( device, endpoint, setup _ curve = false ) : sck = ctx. socket ( device ) auth = none if opts. curve _ enable and setup _ curve : log ( " setup curve support " ) from jomiel. curve import setup auth = setup ( sck ) # must come before bind. try : sck. bind ( endpoint ) except zmqerror as error : log...
[ -0.4929133355617523, 0.008181333541870117, 0.5090600848197937, 1.138651728630066, -0.44210225343704224, -0.15616904199123383, 0.007833749055862427, -0.5647885799407959, 0.6320937871932983, 0.4908082187175751, 0.32464829087257385, 1.2631590366363525, -0.7907330393791199, -0.4839630722999573...
def _ initialize _ output ( self, time _ len, id _ len ) : log ('initializing new file % s'% self. cf _ compliant _ file,'info') self. cf _ nc = dataset ( self. cf _ compliant _ file,'w ', format ='netcdf3 _ classic') # create global attributes log ('globals ','debug ', self. print _ debug ) self. cf _ nc. featuretype ...
[ 0.199506938457489, -0.3666822612285614, 0.5454250574111938, -0.7312525510787964, 0.36800557374954224, 0.0972660705447197, 0.11281242966651917, -0.335024893283844, -0.9853774309158325, -0.3552149832248688, -0.17599332332611084, -0.231692835688591, 0.5603057742118835, 0.5406481027603149, 0...
def simulate _ tick ( self ) : for task _ id in self. running : self. finished [ task _ id ] = true self. running = { } for node in self. get _ signatures _ to _ run ( ) : self. running [ node. id ] = true if self. running : return true
[ -0.8528701066970825, 0.9596870541572571, 0.3772279620170593, -0.13495169579982758, 0.442655473947525, 0.23403015732765198, 0.7287921905517578, 0.07922618836164474, -1.5685991048812866, 0.7452236413955688, -1.608251929283142, -0.5804106593132019, -0.5961374044418335, 0.3586963415145874, -...
def all _ accounts ( self ) : return sorted ( self. config ['accounts']. keys ( ) )
[ 0.3292955756187439, -0.4915132522583008, 0.40908125042915344, 1.389890432357788, 0.2432752549648285, 0.8681209087371826, -0.132516548037529, -0.28603988885879517, 0.5152788758277893, -0.09239887446165085, 0.1896573156118393, 0.7664109468460083, 0.27900996804237366, 0.4087691009044647, -0...
def _ _ init _ _ ( self, left, top, width, height, level ) : if width < 3 or height < 3 : raise attributeerror ( " room too small! " ) self. left = left self. top = top self. width = width self. height = height self. level = level self. doors = list ( ) self. floor = self. floor _ tiles ( ) self. set _ floor _ tiles ( ...
[ -0.2822286784648895, -0.04175170883536339, 0.5933812260627747, 0.8800270557403564, -0.7532215714454651, 0.3475918173789978, 0.05475248768925667, -0.22997263073921204, -0.006158046890050173, -0.06970157474279404, -0.4034785330295563, -1.1818212270736694, -0.617228090763092, 1.55460941791534...
def curve ( * * named ) : return _ newnode ( geometry. vpcurve, named )
[ 0.11862815171480179, 0.12135095149278641, 0.44063666462898254, 0.28288090229034424, -0.3166641891002655, 0.27344927191734314, -0.8373345136642456, -0.8541181683540344, -0.0132606728002429, 0.14083780348300934, -0.6706497073173523, 0.6558375954627991, -0.21688194572925568, -1.55728983879089...
def squareofsums ( n ) : return pow ( n * ( n + 1 ) / 2, 2 )
[ -0.35427749156951904, 0.40682530403137207, 0.3412817418575287, 0.6051126718521118, 0.058469463139772415, -0.7537598013877869, 0.1937110871076584, -0.7222947478294373, 0.5752289891242981, -0.5982934832572937, -0.7217624187469482, -0.181901752948761, 0.4684021472930908, 0.28323879837989807, ...
def _ _ init _ _ ( self ) : self. root ='/ home / jbang36 / eva'self. class _ names = ['car ','bus ','others ','van'] self. class _ dict = { class _ name : i for i, class _ name in enumerate ( self. class _ names ) } x _ train _ norm, x _ test _ norm, y _ train _ dict, y _ test _ dict = get _ uadetrac ( ) anno _ dir = ...
[ -0.20444516837596893, -0.10531497746706009, 0.7397725582122803, -0.1118219643831253, 0.47225475311279297, 0.3378963768482208, 0.036131516098976135, 0.4229547083377838, 0.017316795885562897, -0.8147691488265991, 0.02196560986340046, -0.42397573590278625, 0.7625216245651245, -0.2758755385875...
def generate _ risk _ body ( ) : body = { " id " : 10, " title " : " external risk ", " slug " : " slug ", " description " : " description ", " risk _ type " : " external risk ", " created _ at " : datetime. datetime ( 2019, 1, 1, 12, 30 ), " updated _ at " : datetime. datetime ( 2019, 1, 2, 13, 30 ), " external _ id "...
[ -0.09863404929637909, -0.4905344247817993, 0.840839684009552, -1.2385766506195068, 0.3471159338951111, 0.3200981914997101, -1.327282428741455, -0.7257570028305054, -0.4036640226840973, 0.5928991436958313, -1.0933783054351807, 0.25072553753852844, -0.39392516016960144, -0.3366599678993225, ...
def get _ vanishing _ point _ callback ( color _ image _ msg, vdisp _ line, cv _ bridge, cuda _ context, gabor _ kernels _ gpu, vanishing _ point _ pub, gabor _ filter _ kernels _ pubs = none, gabor _ energies _ pubs = none, gabor _ combined _ energies _ pub = none, vp _ candidates _ region _ pub = none ) : color _ ima...
[ 0.8617995381355286, 0.07015150785446167, 0.7518913745880127, 0.5488840341567993, 0.5963858962059021, -0.1049378514289856, -0.018532726913690567, -0.08035653084516525, 0.4200262129306793, 1.0420271158218384, 0.6503556966781616, 0.18431910872459412, 0.03949226066470146, -0.14867626130580902,...
def filter ( self, function : optional [ callable ] = none, with _ indices = false, input _ columns : optional [ union [ str, list [ str ] ] ] = none, batch _ size : optional [ int ] = 1000, remove _ columns : optional [ list [ str ] ] = none, keep _ in _ memory : bool = false, load _ from _ cache _ file : bool = true,...
[ -0.5890331864356995, 0.16134220361709595, 0.8293204307556152, -0.09574566781520844, -0.8781219124794006, -0.6839977502822876, 0.17292286455631256, 0.20506468415260315, 0.10564281046390533, -0.6932644248008728, 0.09064503014087677, 0.7951893210411072, 0.673802375793457, -0.5819120407104492,...
def get _ spectral _ index ( self, run ) : return self [ str ( run ) ]. get _ spectral _ index ( )
[ -1.2377651929855347, -0.8428730368614197, 0.23157788813114166, -0.3507053852081299, -0.8749894499778748, 0.06979060918092728, 0.25677305459976196, -1.003566861152649, -0.552677571773529, -0.11489449441432953, 0.3449003994464874, 1.8139395713806152, -0.7421016097068787, -0.15040525794029236...
def extract _ unmasked _ data ( radar, field, bad = - 32768 ) : return radar. fields [ field ] ['data']. filled ( fill _ value = bad )
[ -0.15653613209724426, 0.45409324765205383, 0.35305967926979065, -0.6586302518844604, 0.8969919085502625, 0.647341787815094, -0.4094451665878296, -0.7117347121238708, -0.062251102179288864, -0.04278833791613579, -0.6897656321525574, 0.1821753829717636, -0.3774179518222809, 0.272863447666168...
def load _ from _ results _ logger ( self, results _ logger ) : try : for configuration, r in results _ logger. get _ results ( self. config _ space ) : budget = r [ 0 ] loss = np. inf if r [ 2 ] is none else r [ 2 ] [ " loss " ] self. add _ configuration ( configuration, budget, loss ) except : print ('except') # star...
[ -0.48289310932159424, 0.006943569052964449, 0.4848274886608124, 0.3808695673942566, 0.33869609236717224, -0.24519485235214233, -0.34483230113983154, -0.6379765868186951, -0.05408341810107231, 0.3401477634906769, -0.12712763249874115, -1.1904999017715454, 0.2225014716386795, 1.2347649335861...
def items ( self ) : return self. cf. items ( self. main _ section )
[ -0.2266836166381836, -0.5046059489250183, 0.21115431189537048, 0.30444657802581787, 0.2168029546737671, 0.005324633326381445, -0.177472785115242, -0.19648030400276184, -1.0083096027374268, -0.7262150049209595, 0.4946824014186859, -0.6070773601531982, 0.13891912996768951, 0.4447895288467407...
def test _ get ( ) : with patch. object ( swift, " _ auth ", magicmock ( ) ) : assert swift. get ( ) assert swift. get ( " mycontainer " ) assert swift. get ( " mycontainer ", path = " myfile. png ", return _ bin = true ) assert swift. get ( " mycontainer ", path = " myfile. png ", local _ file = " / tmp / myfile. png ...
[ -0.36803752183914185, 0.12390141934156418, 0.5650269985198975, -0.2878977954387665, 0.8459941148757935, 0.39293214678764343, -0.09409994632005692, 0.06961879134178162, -0.09937500208616257, -1.083487629890442, 0.4238794445991516, 0.4678668677806854, 0.18811827898025513, -0.0006008701166138...
def compute _ semester _ gpa ( model ) : # pass return np. mean ( [ a. grade for a in model. schedule. agents ] )
[ -0.2801661491394043, -1.0352383852005005, 0.7220113277435303, 0.41202256083488464, -0.9719660878181458, 0.801798939704895, 0.5000908374786377, 0.566145658493042, 0.26066839694976807, 0.8571062684059143, 0.6207152605056763, 0.2095186710357666, -0.2560626268386841, 0.4380623996257782, -0.8...
def data _ places _ points ( self, p, game, results, participants ) : if game. score _ kind = ='points': self. points _ data ( p, game, results, participants ) if game. score _ kind = ='places': self. places _ data ( p, game, results )
[ -0.1755213439464569, 0.44597020745277405, 0.4079177975654602, 0.2237066626548767, 0.4549771249294281, 0.9563870429992676, -0.3853488862514496, 0.4161919951438904, 0.2857254445552826, 0.5980098843574524, 0.7410194277763367, 0.7194007039070129, 0.02047792635858059, 0.0866265669465065, -0.1...
def getupperandlowerlimit ( self, values, multiplier ) : mean = numpy. mean ( values ) std = numpy. std ( values, ddof = 1 ) upper = mean + ( multiplier * std ) lower = mean - ( multiplier * std ) return lower, upper
[ -0.11718530207872391, 0.22562508285045624, 0.544625461101532, -0.022147465497255325, -0.9038233160972595, 0.5395249724388123, 0.6681531667709351, -0.11562079936265945, 1.202230453491211, 0.05969487875699997, -0.13010188937187195, 0.8730442523956299, -0.6251281499862671, 0.6018444895744324,...
def v _ center _ id ( self ) - > optional [ str ] : return pulumi. get ( self, " v _ center _ id " )
[ 1.7068140506744385, -0.7505950927734375, 0.40778982639312744, 0.5865753293037415, 0.6132939457893372, 0.6312728524208069, -0.42789748311042786, -0.262189656496048, 1.8846715688705444, 1.4711651802062988, 0.4871726334095001, 1.3746278285980225, -0.20484815537929535, -0.9140395522117615, -...
def parse _ arguments ( ) : parser = argparse. argumentparser ( ) parser _ command = parser. add _ subparsers ( dest ='command') _ = parser _ command. add _ parser ( " conftest ", help = " configtest help " ) command _ createkeytab = parser _ command. add _ parser ( " createkeytab ", help = " createkeytab command help ...
[ -0.05835545435547829, -0.13552019000053406, 0.9071962237358093, 0.037773799151182175, 0.6434338092803955, 0.621065616607666, 0.03474278748035431, 0.2196824699640274, -1.0620907545089722, 0.07584934681653976, -0.3792426884174347, -0.2328391969203949, -0.17532958090305328, 0.9080018401145935...
def extreme _ supported _ nondominated _ points ( self ) : return self. _ extreme _ supported _ nondominated _ points
[ -0.3340180218219757, 0.32019877433776855, 0.2098209708929062, 0.44231998920440674, -0.06806839257478714, 1.8958779573440552, -0.8921306133270264, 0.6401771306991577, 0.19706353545188904, 0.47480449080467224, -1.4409998655319214, 0.6244395971298218, -0.4238405227661133, 0.019761361181735992...
def bri _ inc ( id, value ) : return put _ state ( id, { " bri _ inc " : value } )
[ -0.1626005619764328, 0.6702927947044373, 0.32003042101860046, 0.9005053043365479, -0.48116809129714966, 0.7869932055473328, 0.16944792866706848, -0.08571735769510269, -0.07168637216091156, 0.0005061112460680306, -1.3988019227981567, 0.38102051615715027, -0.5767991542816162, -0.998860716819...
def train ( model, ts, vs, es = none, * * kwargs ) : n = int ( kwargs. get ('test _ epochs ', 5 ) ) do _ early _ stopping = bool ( kwargs. get ('do _ early _ stopping ', true ) ) epochs = int ( kwargs. get ('epochs ', 20 ) ) model _ file = get _ model _ file ('classify ','tf ', kwargs. get ('basedir') ) if do _ early _...
[ -0.4593155086040497, 0.907219648361206, 0.6158688068389893, 0.44926437735557556, 0.6146108508110046, -0.12142177671194077, 0.5545230507850647, 0.1972184181213379, -1.128470778465271, -0.30263254046440125, -0.49017614126205444, -0.4992956519126892, 0.667646586894989, -0.5071834921836853, ...
def next _ flow ( self, request ) : ctx. log. warn ( " - - - - - - - - - - - - - - - - - - - - - - - - - - - - start hashing request - - - - - - - - - - - - - - - - - - - - - - - - - \ n " ) hsh = self. _ hash ( request ) ctx. log. warn ( " - - - - - - - - - - - - - - - - - - - - - - - - - - finished hashing request - ...
[ -0.24184440076351166, -0.4855269491672516, 0.7379021048545837, 0.4158271551132202, -0.7071838974952698, -0.018510188907384872, 0.22033198177814484, -1.4131025075912476, 0.7225823402404785, -0.4543413817882538, 0.39665913581848145, 0.24208936095237732, -1.047750473022461, -0.164156362414360...
def prove _ in _ model _ full ( formula : formula, model : model ) - > proof : assert formula. operators ( ). issubset ( {'t ','f ','- > ','~ ','& ','|'} ) assert is _ model ( model ) # optional task 6. 6
[ 0.16354066133499146, 0.369498610496521, 0.558792769908905, 0.8352410793304443, -0.10732844471931458, -0.007744663394987583, 0.39316853880882263, 0.2940019965171814, -0.601320743560791, 0.10311022400856018, -0.5762316584587097, -0.68674236536026, 0.045858219265937805, 0.7663446664810181, ...
def calcversionvalue ( ver _ str = " 0. 0. 0 " ) : ver _ str =''. join ( [ char for char in ver _ str if char. isdigit ( ) or char = = '.'] ) ver _ lvl = ver _ str. split ( u ". " ) if len ( ver _ lvl ) < 3 : return 0 major = int ( ver _ lvl [ 0 ] ) * 1000 minor = int ( ver _ lvl [ 1 ] ) if len ( ver _ lvl [ 2 ] ) < = ...
[ 0.25861337780952454, -0.6477431654930115, 0.7221419811248779, 0.6402668952941895, -1.1724680662155151, -0.3375491499900818, 0.5325317978858948, 0.773597002029419, 0.20940716564655304, -0.09055722504854202, -0.5645295977592468, 0.009837809950113297, -0.8600925803184509, -0.18105833232402802...
def searchforplan ( some _ plan, left, right, boat, backup ) : # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # to do : # add your search code below. mind the following constraints : # you are not to use graph s...
[ 0.12565205991268158, 0.36011621356010437, 0.8256086707115173, 0.31934162974357605, -0.25804996490478516, 0.10959633439779282, -0.009171716868877411, -1.157983660697937, -0.5323162078857422, -0.31985607743263245, -0.6281904578208923, 0.3630825877189636, -1.27390456199646, 0.2343788594007492...
def take _ card ( self, player ) : if self. keep is true : bank. cards. remove ( self ) self. player. inventory. place _ card ( self ) else : return false
[ -0.1369805932044983, -0.1833069920539856, 0.6998673677444458, -0.42616596817970276, 0.275075763463974, 1.1106985807418823, 0.47178390622138977, 0.26964685320854187, -0.13719290494918823, 0.5614202618598938, -0.6993952393531799, -0.8652979135513306, -1.1064720153808594, -0.34632954001426697...
def test _ multiple _ gen _ nexts _ closed _ in _ different _ order ( self ) - > none : id _ gen = self. _ create _ id _ generator ( ) async def test _ gen _ next ( ) - > none : ctx1 = id _ gen. get _ next ( ) ctx2 = id _ gen. get _ next ( ) ctx3 = id _ gen. get _ next ( ) # request three new stream ids. self. asserteq...
[ -0.5987915992736816, -0.10861892998218536, 0.8432117700576782, -0.04286360740661621, 0.7146033048629761, 0.5349715948104858, 0.25380727648735046, -0.6938040256500244, -0.14656144380569458, -0.5751880407333374, -1.1202577352523804, -0.10594847053289413, -0.6191319823265076, 0.08493053168058...