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def wait _ for _ copying _ to _ begin ( self ) : self. _ _ copying _ semaphore. acquire ( true ) return | [
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def forward ( self, x : torch. tensor ) - > list [ torch. tensor ] : out = [ ] for i in range ( self. num _ heads ) : out. append ( getattr ( self,'prototypes'+ str ( i ) ) ( x ) ) return out | [
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def test _ submit _ record _ rejection ( ) : res = requests. post ( f'{ env. awg _ base _ url } / api / cve - id ', headers = utils. base _ headers, params = {'amount': 1,'cve _ year': 2000,'short _ name':'mitre'} ) id _ num = json. loads ( res. content. decode ( ) ) ['cve _ ids'] [ 0 ] ['cve _ id'] # obtain id number ... | [
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def check _ keydown _ events ( event, ship, bullets, ai _ settings, screen, stats, aliens, sb ) : # quit game key shortcut if event. key = = pygame. k _ q : save _ high _ score ( stats ) sys. exit ( ) # ship movement keys elif event. key = = pygame. k _ right : ship. moving _ right = true elif event. key = = pygame. k ... | [
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def listmethods ( self, request, timeout, metadata = none, with _ call = false, protocol _ options = none ) : raise notimplementederror ( ) | [
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def make _ move ( game ) : d = {'1': 1,'2': 2,'3': 3,'4': 4,'5': 5,'6': 6,'7': 7,'8': 8,'9': 9,'10': 10, \'j': 11,'q': 12,'k': 13 } col _ from = int ( raw _ input ( " move from which column? " ) ) card _ from = raw _ input ( " which card? " ) if card _ from in d. keys ( ) : card _ from = d [ card _ from ] else : card _... | [
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def reduce _ any ( input _ tensor, axis = none, keepdims = false, name = none ) : keepdims = false if keepdims is none else bool ( keepdims ) return _ may _ reduce _ to _ scalar ( keepdims, axis, gen _ math _ ops. _ any ( input _ tensor, _ reductiondims ( input _ tensor, axis ), keepdims, name = name ) ) | [
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def _ _ exit _ _ ( self, exc _ type, value, traceback ) : # skip everything if the container was not created if not self. create : return false # add all created nodes to the container cmds. container ( self. container _ node, edit = true, addnode = node. created _ nodes _ stack, includenetwork = false, includehierarch... | [
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def conv _ json _ to _ dict ( data ) : if isinstance ( data, str ) : return json. loads ( data ) if isinstance ( data, dict ) : return data return dict ( ) | [
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def update _ discs ( discs ) : new _ discs = { } for disc, arrangement in discs. items ( ) : new _ discs [ disc ] = ( ( arrangement [ 0 ] + 1 ) % ( arrangement [ 1 ] ), arrangement [ 1 ] ) return ( new _ discs ) | [
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def getcolor ( self ) : return self. color | [
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async def test _ set _ operation _ mode ( monkeypatch ) : teslamock ( monkeypatch ) _ controller = controller ( none ) await _ controller. connect ( ) await _ controller. generate _ energysite _ objects ( ) _ energysite = _ controller. energysites [ 67890 ] assert await _ energysite. set _ operation _ mode ( " autonomo... | [
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def diametre ( self ) : maxdist = 0 for node1 in range ( len ( self. nodes ) ) : for node2 in range ( node1 + 1, len ( self. nodes ) ) : # no need to go through all nodes ( bc. distance is symetrical ) self. resetnodes ( ) dist = self. distance ( node1, node2 ) if dist is not none and dist > maxdist : maxdist = dist re... | [
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def _ dbn _ maxpool _ sample _ helper ( hid _ probs, pool _ probs ) : # store shapes for later hs, ps = hid _ probs. shape, pool _ probs. shape # first, we extract blocks and their corresponding pooling unit # we need to use doubles because of precision problems in np. random. multinomial. wow did this take me a while ... | [
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def test _ hawkessumexpkern _ model _ settings ( self ) : # single baseline learner = hawkessumexpkern ( self. decays ) np. testing. assert _ array _ equal ( learner. decays, self. decays ) np. testing. assert _ array _ equal ( learner. _ model _ obj. decays, self. decays ) self. assertequal ( learner. n _ baselines, 1... | [
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def _ _ calc _ cutof ( self ) : top _ cont, _ = self. _ _ mapped _ shortlog [ 0 ] mean _ cut = top _ cont * 0. 05 summ = 0 numm = 0 for count, _ in self. _ _ mapped _ shortlog : if count > = mean _ cut : summ + = count numm + = 1 else : break return summ / numm | [
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def caption _ eval _ collate ( data ) : # separate source and target sequences att _ feats, img _ masks, box _ feats, img _ ids = list ( zip ( * data ) ) # t2i def generate _ inputs ( ) : # sent = np. array ( sent ) x _ img = torch. stack ( att _ feats, dim = 0 ) img _ loc = torch. stack ( box _ feats, dim = 0 ) x _ im... | [
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def bind _ nodes ( self, object _ list, node _ name = " data " ) : object _ node _ list = [ ( i, getattr ( i, node _ name ) ) for i in object _ list if getattr ( i, node _ name ). id ] node _ ids = [ n. id for _, n in object _ node _ list ] if not node _ ids : return node _ results = nodestore. get _ multi ( node _ ids... | [
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def readdata2array ( filename ='dataspam ', delimiter = none, missing _ values = none ) : return np. genfromtxt ( data _ folder + filename, delimiter = delimiter, \ missing _ values = missing _ values ) | [
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def clear ( self ) : logging. info ( " keithley. clear ( ) called. " ) self. keithley. clear ( ) logging. info ( " keithley. clear ( ) done. " ) return true | [
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def _ updatebenchmarkspecwithflags ( benchmark _ spec ) : benchmark _ spec. depth = flags. resnet _ depth benchmark _ spec. mode = flags. resnet _ mode benchmark _ spec. train _ batch _ size = flags. resnet _ train _ batch _ size benchmark _ spec. eval _ batch _ size = flags. resnet _ eval _ batch _ size benchmark _ sp... | [
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def _ tag _ handle _ special ( self, text : str ) : # special tags vars setbold = " \ 033 [ 1m " unsetbold = " \ 033 [ 22m " setunderline = " \ 033 [ 4m " unsetunderline = " \ 033 [ 24m " setitalic = " \ 033 [ 3m " unsetitalic = " \ 033 [ 23m " setblink = " \ 033 [ 5m " setslowblink = " \ 033 [ 5m " unsetblink = " \ 03... | [
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def perform _ request ( self, http _ client, operation, url, data = none, headers = none ) : if not headers : headers = { } headers. update ( self. getauthheader ( operation, url ) ) return http _ client. request ( operation, url, data = data, headers = headers ) | [
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def load ( self, * args, * * kwargs ) : all _ files = self. _ list _ files ( ) matching _ files = [ ] for file _ name in all _ files : if all ( [ item in file _ name for item in args ] ) : matching _ files. append ( file _ name ) if len ( matching _ files ) = = 1 : file _ path = os. path. join ( self. directory, matchi... | [
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def test _ retrieve _ recipes ( self ) : sample _ recipe ( user = self. user ) sample _ recipe ( user = self. user ) response = self. client. get ( recipes _ url ) recipes = recipe. objects. all ( ). order _ by ('- id') recipes _ data = recipeserializer ( recipes, many = true ). data self. assertequal ( response. statu... | [
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def registerdevice ( self, typeid, deviceid, authtoken = none, deviceinfo = none, location = none, metadata = none ) : devicesurl = apiclient. devicesurl % ( self. host, typeid ) payload = {'deviceid': deviceid,'authtoken': authtoken,'deviceinfo': deviceinfo,'location': location,'metadata': metadata } r = requests. pos... | [
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def get _ port _ number ( self ) : return self. port | [
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def fgsm _ attack ( self, data : torch. tensor ) : input _ grad = data. grad. data perturbed _ data = data + self. _ epsilon * input _ grad return torch. clamp ( perturbed _ data, 0, 1 ) | [
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def test _ experiment _ config ( self ) : exp = quantumvolume ( [ 0, 1, 2 ], seed = 42 ) loaded _ exp = quantumvolume. from _ config ( exp. config ( ) ) self. assertnotequal ( exp, loaded _ exp ) self. assertequalextended ( exp, loaded _ exp ) | [
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def evaluation _ result ( self ) : eval _ loss = self. finalize _ loss ( ) eval _ scr = self. finalize _ metric ( ) self. export _ output ( ) return eval _ loss, eval _ scr | [
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def find _ player ( player, game _ board ) : for x in game _ board. players : if x. id = = player : return x return none | [
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def half _ branch _ to _ pants _ curve ( self, branch ) : switch = self. branch _ endpoint ( - branch ) pants _ curve = self. switch _ to _ pants _ curve ( switch ) if self. get _ switch _ turning ( switch ) = = left : return - pants _ curve else : return pants _ curve | [
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def readlastncluster ( self, ncluster ) : # return dataframe. head ( ncluster ) return self. df. tail ( ncluster ) | [
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def samplekl ( self, num _ xis, filename, size = 1 ) - > numpy. ndarray : # generate xis : xi = numpy. random. normal ( 0, 1, size = ( size, num _ xis ) ) with open ( filename, " wb + " ) as fin : xi. tofile ( fin ) # generate the random field return numpy. dot ( xi * numpy. sqrt ( self. eig _ values ), self. eig _ vec... | [
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... |
def get _ algo _ df ( algo _ name, key, environ = none, rel _ path = none ) : folder = get _ algo _ folder ( algo _ name, environ ) if rel _ path is not none : folder = os. path. join ( folder, rel _ path ) filename = os. path. join ( folder, key + '. csv') if os. path. isfile ( filename ) : try : with open ( filename,... | [
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def small _ switch _ to _ large _ switch ( self, small _ switch ) : click = self. small _ switch _ to _ click ( small _ switch ) return self. click _ to _ large _ switch ( click ) | [
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def create _ connection _ to _ db ( self ) : try : conn = sqlite3. connect ( self. db _ file ) return conn except error as e : print ( e ) return none | [
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... |
def addcreator ( self ) : # define self. question as as a string with 2 random numbers self. question = " { } + { } ". format ( randint ( 10, 99 ), randint ( 2, 99 ) ) | [
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def test _ can _ hook _ url ( self ) : new _ url ='http : / / httpbin. org / new _ url'class myapiclient ( apiclient ) : @ apiclienthook. hook _ client _ url ( client ='httpbin _ 3 ', requests = ['*'] ) # register this for all the hooks in client 3 def overide _ url _ query ( self, url, * * kwargs ) : return new _ url ... | [
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def cohorts _ index ( ) : return render _ template ('cohorts. html') | [
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... |
def get _ all _ weights ( cls ) : return get _ list _ of _ variables ( cls. layers + cls. shared _ layers ) | [
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1.3477861881256104... |
def test _ atomic _ base64 _ binary _ min _ length _ 1 _ nistxml _ sv _ iv _ atomic _ base64 _ binary _ min _ length _ 2 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / base64binary / schema + instance / nistschema - sv - iv - atomic - base64binary - minlength - 2. xsd ... | [
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0.37862154841423035... |
def _ zeros _ like _ func ( x ) : # unused parameters are placeholders. return f. environ _ create ( ) | [
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0.0995979979634... |
def randomizer ( dict ) : return random. choice ( list ( dict. keys ( ) ) ) | [
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... |
def test _ add _ link ( self ) : self. login ( ) response = self. client. get ('/ admin / add / lext') entry _ data = {'title':'link entry ','slug':'link - entry ','tags':'tests ','published':'true ','content':'test ','publish _ date _ year': datetime. now ( ). year,'publish _ date _ month': datetime. now ( ). month,'p... | [
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def count ( f ) : def counted ( n ) : counted. c + = 1 return f ( n ) counted. c = 0 return counted | [
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... |
def result ( self, key ) : return self. _ results. get ( key, none ) | [
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def msnerv _ grad ( x, sigma _ ij, n, n _ components, p _ h, t _ h, n _ perp, w _ cf ) : x = np. reshape ( a = x, newshape = ( n, n _ components ) ) # computing the pairwise squared euclidean distances in the lds dsm _ lds = pairwise _ dist ( x = x, metric ='sqeuclidean ', tomatrix = true ) # intermediate variable. np.... | [
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... |
def itksubtractconstantfromimagefilteriuc3diuc3 _ superclass _ cast ( * args ) : return _ itksubtractconstantfromimagefilterpython. itksubtractconstantfromimagefilteriuc3diuc3 _ superclass _ cast ( * args ) | [
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0... |
def sig _ can _ hold ( amount ) : return signal ( max ( math. ceil ( math. log2 ( amount ) ), 1 ) ) | [
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def _ set _ max _ bw _ threshold _ percentage ( self, v, load = false ) : if hasattr ( v, " _ utype " ) : v = v. _ utype ( v ) try : t = yangdynclass ( v, base = restrictedclasstype ( base _ type = restrictedclasstype ( base _ type = long, restriction _ dict = {'range': ['0.. 4294967295'] }, int _ size = 32 ), restrict... | [
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... |
def add _ to _ node _ stack ( cls, node ) : cls. created _ nodes _ stack. append ( node ) | [
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... |
def dbs _ to _ trigger _ cutover _ on ( self ) - > optional [ sequence [ str ] ] : return pulumi. get ( self, " dbs _ to _ trigger _ cutover _ on " ) | [
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def test _ atomic _ qname _ max _ length _ 2 _ nistxml _ sv _ iv _ atomic _ qname _ max _ length _ 3 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - maxlength - 3. xsd ", instance = " nistdata / atomic ... | [
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... |
def affineparameters ( from _ pt, to _ pt ) : x1, y1 = from _ pt [ 0 ] x2, y2 = from _ pt [ 1 ] x3, y3 = from _ pt [ 2 ] x1 _, y1 _ = to _ pt [ 0 ] x2 _, y2 _ = to _ pt [ 1 ] x3 _, y3 _ = to _ pt [ 2 ] matrix _ x = [ [ x1, x2, x3 ], [ y1, y2, y3 ], [ 1, 1, 1 ] ] matrix _ y = [ [ x1 _, x2 _, x3 _ ], [ y1 _, y2 _, y3 _ ]... | [
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0.19721280038356... |
def null _ minimizer ( fun, x0, * args, * * options ) : return scipy. optimize. optimizeresult ( x = x0, fun = fun ( x0, * args ), success = true, nfev = 1 ) | [
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def squashrng ( rng, apermol ) : if not checksymmetry ( rng ) : raise runtimeerror ( " graph is non - symmetrical " ) sh = rng. shape rng = rng. toarray ( ) newsh = ( int ( sh [ 0 ] / apermol ), int ( sh [ 1 ] / apermol ) ) # pdb. set _ trace ( ) # molrng = lil _ matrix ( newsh ) molrng = np. zeros ( newsh ) for i in r... | [
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def read _ from _ directory ( self, directory _ path ) : if directory _ path [ len ( directory _ path ) - 1 ]! ='/': directory _ path + ='/'video _ name, video _ resolution, prefix = \ self. parse _ config _ file ( directory _ path + " config. ini " ) self. _ video _ name = video _ name self. _ video _ resolution = vid... | [
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0.5321945548057556,
... |
def raises ( exceptions, function, message ='' ) : try : function ( ) except exceptions : return except exception as e : if message : raise assertionerror ( f " unexpected exception { e! r } ( expected { exceptions } ) : { message } " ) raise assertionerror ( f " unexpected exception { e! r } ( expected { exceptions } ... | [
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def evaluate _ spline ( ts, tck ) : coords = splev ( ts, tck ) spline _ points = np. zeros ( ( len ( coords [ 0 ] ), 2 ) ) spline _ points [ :, 0 ] = coords [ 0 ] spline _ points [ :, 1 ] = coords [ 1 ] return spline _ points | [
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def internal _ mask ( self ) - > np. ndarray : return util. make _ mask ( self. ndofs, self. dirichlet _ dofs ) | [
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def getconsumer ( self ) : return self. _ consumer | [
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def pinta _ frontera _ curva ( x, y, theta, poly, lamb ) : plt. figure ( ) x1 _ min, x1 _ max = x [ :, 0 ]. min ( ), x [ :, 0 ]. max ( ) x2 _ min, x2 _ max = x [ :, 1 ]. min ( ), x [ :, 1 ]. max ( ) xx1, xx2 = np. meshgrid ( np. linspace ( x1 _ min, x1 _ max ), np. linspace ( x2 _ min, x2 _ max ) ) h = sigmoid ( poly. ... | [
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0.5... |
def convert _ to _ bio _ sequence ( document, char _ level ) : doc _ name = " " # i don't care about the document, will be added in later sentences = _ construct _ sentences ( doc _ name, document, char _ level ) bio _ document = biodocument ( doc _ name, document. text, sentences, char _ level ) return bio _ document.... | [
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def get _ listening _ and _ recognition _ result ( recognizer : speech _ recognition. recognizer, microphone : speech _ recognition. microphone ) - > str : error _ indicator ='error :'try : audio = listen _ speech _ from _ mic ( recognizer, microphone ) except speech _ recognition. waittimeouterror : error ='can you ch... | [
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... |
def process _ account _ request ( request, order _ id, receipt _ code ) : order = get _ object _ or _ 404 ( order, id = order _ id, receipt _ code = receipt _ code ) if request. method = = " post " : gateway _ name = request. post [ " gateway _ name " ] gateway = get _ object _ or _ 404 ( gateway, name = gateway _ name... | [
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def test _ shape _ ignore _ msg _ in _ constructor ( self ) : # create a variable for the standard arguments to this function. fake _ specification = ordereddict ( ) fake _ specification [ " intercept " ] = [ 1, 2 ] fake _ specification [ " x " ] = [ [ 1, 2, 3 ] ] fake _ names = ordereddict ( ) fake _ names [ " interce... | [
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def create _ ics _ file ( _ appointment, _ ics _ method ) : tz = pytz. timezone ( _ appointment. user. branch. time _ zone ) date _ start = tz. localize ( datetime. combine ( _ appointment. date, _ appointment. time ) ) date _ end = date _ start + timedelta ( hours = 1 ) filename = str ( _ appointment. id ) + ". ics " ... | [
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def get _ integer ( text = " enter an integer ", prompt = " 0 ", maximum = 0 ) : while true : clear _ line _ 23 ( ) response = input ( " { } [ { } ] : ". format ( text, prompt ) ) if not response : response = prompt try : integer = abs ( int ( response ) ) if integer > maximum : # print ( " invalid entry. please re - e... | [
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def centinel _ cardholder _ auth _ result ( request, template = " centinel _ error. html " ) : from centinel import centinel logger. debug ( request. post ) cent = centinel ( request ) if request. post. get ('payres') and request. post. get ('transaction _ id') : return cent. centinel _ authenticate ( request. post ['p... | [
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def next _ batch ( self, batch _ size ) : start = self. _ index _ in _ epoch self. _ index _ in _ epoch + = batch _ size if self. _ index _ in _ epoch > self. _ num _ examples : # finished epoch self. _ epochs _ completed + = 1 # shuffle the data perm = np. arange ( self. _ num _ examples ) np. random. shuffle ( perm )... | [
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def diagnostic _ table ( self, num _ years ) : assert num _ years > = 1 max _ num _ years = self. _ _ policy. end _ year - self. _ _ policy. current _ year + 1 assert num _ years < = max _ num _ years diag _ variables = dist _ variables + ['surtax'] calc = copy. deepcopy ( self ) tlist = list ( ) for iyr in range ( 1, ... | [
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def get _ event ( self, originator _ id : uuid, position : int ) - > tevent : sequenced _ item = self. record _ manager. get _ item ( sequence _ id = originator _ id, position = position ) return self. event _ mapper. event _ from _ item ( sequenced _ item ) | [
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def load _ data ( path = ".. / data / cora / ", dataset = " cora " ) : print ('loading { } dataset... '. format ( dataset ) ) idx _ features _ labels = np. genfromtxt ( " { } { }. content ". format ( path, dataset ), dtype = np. dtype ( str ) ) features = sp. csr _ matrix ( idx _ features _ labels [ :, 1 : - 1 ], dtype... | [
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def compile _ file ( self, filepath, write = true, package = false, * args, * * kwargs ) : set _ ext = false if write is false : destpath = none elif write is true : destpath = filepath set _ ext = true elif os. path. splitext ( write ) [ 1 ] : # write is a file ; it is the destination filepath destpath = write else : ... | [
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def normalize _ phone _ number ( phone ) : return re. sub ( " [ ^ \ d \ + ] ", " ", str ( phone ) ) | [
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def entry _ point _ manager ( args ) : app = luchador _ rl. env. remote. create _ manager _ app ( ) _ run _ server ( app, args. port ) | [
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def add _ bot ( name : str, account : int, user : str ) : assert not utility. check _ empty _ string ( name ), " bot name cannot be empty or blank spaces " utility. is _ exist ( bot, exp _ message = " bot already exists! ", name _ _ iexact = name, account = account, status = true ) return bot ( name = name, account = a... | [
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def best _ category _ item _ in _ bundle ( self, items : bundle, category _ index : int ) - > item : return self. sub _ agents [ category _ index ]. best _ item _ in _ bundle ( items ) | [
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def do _ svm _ sent _ pos _ ths ( data _ list, utterance _ unprocessed, lex, test _ utterance, file, column, matrix, mode ) : # make vector from the utterance of the test set vec _ test _ utterance = [ ] # vector of the utterance from the test _ set for line in open ( lex ) : line _ split = line. split ( ) n = 0 m = 0 ... | [
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def test _ get _ existing _ client _ secret ( self ) : key = self. lti _ consumer. consumer _ key secret = signaturevalidator ( self. lti _ consumer ). get _ client _ secret ( key, none ) assert secret = = self. lti _ consumer. consumer _ secret | [
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def _ remove _ pr _ todo _ labels ( self, owner, repo, pr _ num ) : if not self. _ update _ remote : return url = " % s / repos / % s / % s / issues / % s / labels " % ( self. _ api _ url, owner, repo, pr _ num ) # first get a list of all labels data = self. get _ all _ pages ( url ) if not data : return # we could fil... | [
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def run ( self, line, help _ disp = false ) : if help _ disp : self. parser. print _ help ( ) return returncodes. success try : ( options, args ) = self. rdmc. rdmc _ parse _ arglist ( self, line ) except ( invalidcommandlineerroropts, systemexit ) : if ( " - h " in line ) or ( " - - help " in line ) : return returncod... | [
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def cast ( * args ) : return _ itksubtractconstantfromimagefilterpython. itksubtractconstantfromimagefilterius3dius3 _ superclass _ cast ( * args ) | [
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def error _ popup _ sentence ( self ) : messagebox. showwarning ( " warning ", " enter sentence " ) | [
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def mean _ history ( history, history ) : for combination in [ " m1 ", " m2 ", " m3 ", " m1m2 ", " m2m3 ", " m1m3 ", " m1m2m3 " ] : for metric in [ " elbo ", " image1 _ bce ", " image1 _ rmse ", " image2 _ bce ", " image2 _ rmse ", " speech _ mse ", " speech _ rmse ", " label _ ce ", " label _ acc " ] : try : history [... | [
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def set _ body ( self, body ) : self. body = body | [
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def timer _ reset ( self, * args, * * kwargs ) : self. _ timer. stop ( ) self. _ timer. setinterval ( self. _ interval ) logger. info ( " timer reset : " ) self. _ timer. start ( ) | [
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def save ( self, * args, * * kwargs ) : self. asset _ type = " bankaccount " super ( bankaccount, self ). save ( * args, * * kwargs ) | [
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def get _ rectified _ resized ( left _ im, right _ im, dim, leftmapx, leftmapy, rightmapx, rightmapy ) : fixedleft = cv2. remap ( left _ im, leftmapx, leftmapy, cv2. inter _ linear ) fixedright = cv2. remap ( right _ im, rightmapx, rightmapy, cv2. inter _ linear ) # resize fixedleft = cv2. resize ( fixedleft, dim ) fix... | [
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def setup ( hass : homeassistant, config : configtype ) - > bool : conf = config [ domain ] net _ id = conf [ conf _ device ] ip _ address = conf. get ( conf _ ip _ address ) port = conf [ conf _ port ] client = pyads. connection ( net _ id, port, ip _ address ) try : ads = adshub ( client ) except pyads. adserror : _ ... | [
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def x2 _ chain ( self, args ) : # extract parameters kwargs _ lens, kwargs _ source, kwargs _ lens _ light, kwargs _ ps = self. param. getparams ( args ) # generate image and computes likelihood self. multiband. reset _ point _ source _ cache ( ) logl = 0 if self. _ check _ bounds : penalty, bound _ hit = self. check _... | [
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def _ _ collect _ help _ text ( self, hierarchy, text, level = 0 ) : if'this'in hierarchy : help _ str = hierarchy ['this'] ( ). help ( ) help _ str = textwrap. dedent ( help _ str ) for line in help _ str. split ('\ n') : text + ='' * level text + = line text + ='\ n'if len ( hierarchy ) > 1 : text + ='' * level +'* *... | [
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def likelihood ( self, parameters ) : if not self. _ fallback : try : processed _ data = self. _ amplitude _ function ( self. _ data [ " data " ], parameters ) processed _ accepted = self. _ amplitude _ function ( self. _ accepted [ " data " ], parameters ) return - ( numpy. sum ( self. _ data [ " qfactor " ] * numpy. ... | [
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def writeoutput ( trackid, trackdias, orbit, dias ) : # each d in dias is [ diaid, mjd, ssmid ] tds = map ( lambda x : dias [ x ], trackdias ) mjds = map ( lambda x : x [ 1 ], tds ) # print tds ssmids = map ( lambda x : x [ 2 ], tds ) if len ( set ( ssmids ) ) > 1 : ssmid = - 1 else : ssmid = ssmids [ 0 ] dt = max ( mj... | [
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def _ _ init _ _ ( self, args, take _ amount = none, take _ amount _ seed = 13, add _ svhn _ extra = false, aux _ data _ filename = none, add _ aux _ labels = false, aux _ take _ amount = none, train = false, * * kwargs ) : dataset = get _ dataset ( args ) if not dataset. custom _ class : if train : data _ path = os. p... | [
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def clean ( self ) : if ( self. cleaned _ data ['password']! = self. cleaned _ data ['password _ repeat'] ) : raise validationerror ('niepoprawne hasło') | [
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0.582968413829803... |
def test _ list _ decimal _ min _ length _ 3 _ nistxml _ sv _ iv _ list _ decimal _ min _ length _ 4 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / decimal / schema + instance / nistschema - sv - iv - list - decimal - minlength - 4. xsd ", instance = " nistdata / list / ... | [
-0.05811409652233124,
-0.29264816641807556,
0.4437312185764313,
0.18452571332454681,
-0.11551779508590698,
-0.23623307049274445,
-0.5390817523002625,
-0.18568097054958344,
1.077520489692688,
-0.4189217686653137,
-1.0406166315078735,
-0.7069241404533386,
-0.6107937097549438,
-0.050370056182... |
def log _ time _ stamp ( self, turn, file _ name, class _ name, function _ name, state, description, date _ stamp = none, time _ stamp = none ) : # check the state parameter if has a valid type or value if not isinstance ( state, ( str, int ) ) : raise attributeerror ( self. _ error _ message ) if isinstance ( state, s... | [
-0.35269099473953247,
-0.2722448706626892,
0.8488139510154724,
-0.34357714653015137,
0.5628446936607361,
-0.03356466069817543,
-0.6115335822105408,
-0.13194748759269714,
0.14250944554805756,
-0.22398708760738373,
0.41478782892227173,
0.648726224899292,
0.4381229281425476,
0.842060446739196... |
def _ dict _ factory ( cursor, row ) : d = { } for idx, col in enumerate ( cursor. description ) : d [ col [ 0 ] ] = row [ idx ] return d | [
-0.0854167714715004,
0.35193443298339844,
0.20022113621234894,
-0.971052885055542,
-0.9738475680351257,
-0.949897289276123,
-0.4475994110107422,
0.046769630163908005,
-0.851356029510498,
0.1729961782693863,
0.8248195648193359,
-0.2303398847579956,
1.1525847911834717,
-0.06307651102542877,
... |
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