text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def test _ map _ userinfo _ to _ user _ retries ( self ) - > none : store = self. hs. get _ datastores ( ). main self. get _ success ( store. register _ user ( user _ id = " @ test _ user : test ", password _ hash = none ) ) userinfo = { " sub " : " test ", " username " : " test _ user ", } request, _ = self. start _ a... | [
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def test _ conjecture _ on _ matrix ( b _ matrix, mutation _ type = none, coxeter = none, cartan _ type = none ) : if not coxeter : coxeter = coxeter _ element ( b _ matrix ) # blackbox to produce the vectors we need t = tropicalclusteralgebra ( b _ matrix, mutation _ type = mutation _ type ) if cartan _ type : t. cart... | [
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def update ( self, data ) : logging. debug ('{ 0 } : update ( { 1 } ) '. format ( self. name, data ['action'] if'action'in data else'none') ) cdata = data. copy ( ) # local shallow copy if'history'in cdata : cdata ['history'] = data ['history']. copy ( ) # local copy of history self. last _ source = cdata ['history']. ... | [
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def get _ wp _ statistics ( resource _ files, resource _ folder, hgnc _ manager ) - > tuple [ dict [ str, dict [ str, int ] ], dict [ str, dict [ str, dict [ str, int ] ] ], ] : global _ statistics = defaultdict ( lambda : defaultdict ( int ) ) all _ pathways _ statistics = { } for rdf _ file in tqdm. tqdm ( resource _... | [
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def create _ classifier ( f, t, nt ) : training _ set _ features = [ ] training _ set _ target = [ ] testing _ set _ features = [ ] testing _ set _ target = [ ] print ( " number of training set samples : \ t { 0 } ". format ( nt ) ) print ( " number of testing set samples : \ t { 0 } ". format ( len ( f ) - nt ) ) prin... | [
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def _ get _ passed _ arguments _ str ( self ) : passed _ args = [ ] for arg in ['field ','fields ','prev ','new'] : # todo : it will fail if the'prev's actual value is none if getattr ( self, arg, none ) is not none : passed _ args. append ( arg ) return passed _ args | [
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def kill ( self ) : self. exit _ flag = true | [
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def test _ support _ binary _ files _ request ( self ) : def _ open _ read ( m, payload ) : is _ binary = false args, kwargs = m. call _ args if len ( args ) > 1 : if " b " in args [ 1 ] : is _ binary = true encoding = " utf - 8 " if " encoding " in kwargs : encoding = kwargs [ " encoding " ] if is _ binary : from io i... | [
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def do _ click ( self, args ) : try : if not self. config [ " actions " ] : self. locate _ element ( ) self. element. click ( ) except : self. handle _ exception ( ) | [
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def _ _ iter _ _ ( self ) : probe = self while probe. next _ is not self : probe = probe. next _ yield probe. data | [
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def get _ continent _ floor _ region _ map _ sectors _ ids ( self, continent _ id, floor _ id, region _ id, map _ id ) : return self. _ request ( " continents / { } / floors / { } / regions / { } / maps / { } / sectors ". format ( continent _ id, floor _ id, region _ id, map _ id ) ) | [
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def get _ selected _ block ( self, location : tuple [ float, float ], level : int ) \ - >'block': if level > self. max _ depth : # level greater than max _ depth so we set it to max _ depth level = self. max _ depth closest _ distance = 100000 closest _ block = self for child in self. children : curr = child. get _ sel... | [
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def _ _ call _ _ ( self, function, args, keywords ) : self. _ logger. handle ( logging. logrecord ( self. _ logger. name, # name trace, # level self. _ func _ filename, # pathname self. _ func _ lineno, # lineno " call * % r * * % r ", # msg ( args, keywords ), # args none, # exc _ info func = function. _ _ name _ _ ) ... | [
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def clean _ data ( x, bound _ delete = bound _ delete, bound _ change = bound _ change ) : ind _ del = [ ] ind _ change = [ ] # number of rows no _ rows = x. shape [ 0 ] for i in range ( x. shape [ 1 ] ) : freq = x [ x [ :, i ] = = - 999, i ]. shape [ 0 ] / no _ rows print ( " row { }, freq { } ". format ( i, freq ) ) ... | [
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async def get _ payloads ( self ) - > mythicresponse : url = " { } { } : { } / api / v { } / payloads / current _ operation ". format ( self. _ http, self. server _ ip, self. _ server _ port, self. _ server _ api _ version ) resp = await self. get _ json ( url ) if resp. response _ code = = 200 : # update the response ... | [
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def index ( request ) : rooms = { } return render ( request, " index. html ", { " rooms " : rooms, } ) | [
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def midi2nmat ( path ) : assert ( type ( path ) is str ), " filepath must be a string : % r " % path mid = mido. midifile ( path ) tpb = mid. ticks _ per _ beat output = pd. dataframe ( columns = [ " type ", " voice ", " pitch ", " velocity ", " ticks " ] ) for track in mid. tracks : midiframe = pd. dataframe ( columns... | [
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def on _ boundary ( self, x ) : return ( np. isclose ( x [ 0 ], 0 ) or np. isclose ( x [ 1 ], 0 ) or np. isclose ( x [ 0 ], 1 ) or np. isclose ( x [ 1 ], 1 ) ) | [
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def linreg _ qual ( quality _ string ) : positions = np. arange ( len ( quality _ string ) ) qualities = np. array ( [ convert _ qual ( char ) for char in quality _ string ] ) return stats. linregress ( positions, qualities ) | [
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def n _ chunks ( self ) - > int : return self. _ df. n _ chunks ( ) | [
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async def test _ form _ cannot _ authenticate ( hass : homeassistant ) - > none : result = await hass. config _ entries. flow. async _ init ( domain, context = { " source " : config _ entries. source _ user } ) with requests _ mock. mocker ( ) as mock _ request : mock _ request. get ( " https : / / user - api. wall - b... | [
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def find _ the _ plural ( sentence, position ) : if len ( sentence ) - position - 1 < 0 : return - 1 # it is a number the word is not a plural if other _ functions. number ( sentence [ position ] ) = = 1 : return - 1 # if it is proposal we continue if sentence [ position ] in resourcepool ( ). proposals : return find _... | [
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def get _ pilot _ source _ dir ( ) : cwd = getcwd ( ) if exists ( join ( join ( cwd,'pilot2'),'pilot. py') ) : # in case wrapper has untarred src as pilot2 in init dir return join ( cwd,'pilot2') elif exists ( join ( cwd,'pilot. py') ) : # in case pilot gets launched from within the src dir return cwd else : # could th... | [
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def construct _ from _ string ( cls, string ) - > self : if not isinstance ( string, str ) : raise typeerror ( f "'construct _ from _ string'expects a string, got { type ( string ) } " ) if string = = " string " : return cls ( ) elif string = = " string [ python ] " : return cls ( storage = " python " ) elif string = =... | [
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def telstate _ decode ( raw, no _ decode = ( ) ) : if isinstance ( raw, ( np. void, np. ndarray ) ) : return to _ str ( katsdptelstate. decode _ value ( raw. tobytes ( ) ) ) raw _ str = to _ str ( raw ) if raw _ str in no _ decode : return raw _ str else : return to _ str ( katsdptelstate. decode _ value ( raw _ str. e... | [
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def remove ( self, key : int ) - > none : bucket _ to _ map = self. hash _ function ( key ) ; if self. buckets [ bucket _ to _ map ] is none : return else : value = self. get ( key ) self. buckets [ bucket _ to _ map ]. remove _ item ( ( key, value ) ) | [
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def convert _ valid _ bboxes ( self, box _ dict, info ) : # todo : refactor this function box _ preds = box _ dict ['boxes _ 3d'] scores = box _ dict ['scores _ 3d'] labels = box _ dict ['labels _ 3d'] sample _ idx = info ['image'] ['image _ idx'] box _ preds. limit _ yaw ( offset = 0. 5, period = np. pi * 2 ) if len (... | [
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def export _ reaction _ button ( pk, meeting, meeting _ pk, title = " gilla ", icon ='mdi - thumb - up ', color ='primary') : # should be : [ " proposal ", " discussion _ post " ] allowed _ models = [ model _ map [ x ] for x in getattr ( meeting,'like _ context _ types ', [ ] ) ] # this isn't strictly correct since dis... | [
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def qr _ hapi ( self, tarr ) : allt = list ( np. concatenate ( [ [ self. tref ], tarr ] ) ) qrx = [ ] for iso in self. uniqiso : qrx. append ( hapi. partitionsum ( self. molecid, iso, allt ) ) qrx = np. array ( qrx ) qr = qrx [ :, 1 : ]. t / qrx [ :, 0 ] # q ( t ) / q ( tref ) return qr | [
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def get _ elements ( self, tag _ name, attribute ) : l = [ ] for item in self. _ xml. getelementsbytagname ( tag _ name ) : value = item. getattributens ( constant. ns _ android _ uri, attribute ) value = self. format _ value ( value ) l. append ( str ( value ) ) return l | [
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def speedstring ( factor ) : factor = int ( factor ) if factor > = 0 : sign ='+'else : sign ='-'factor = - factor if abs ( factor ) < 10 : return sign +'00'+'%. 0d'% factor elif abs ( factor ) > 99 : return sign +'%. 0d'% factor else : return sign +'0'+'%. 0d'% factor | [
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def test _ redetect _ one _ invalid _ rectangle ( self ) : for detector in self. detectors : with self. subtest ( detectortype = detector. detectortype ) : with pytest. raises ( lunasdkexception ) as exceptioninfo : detector. redetectone ( image = vlimage _ one _ face, bbox = invalid _ rect ) self. assertlunavlerror ( ... | [
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def _ _ init _ _ ( self, stopper, q ) : threading. thread. _ _ init _ _ ( self ) self. q = q self. stopper = stopper self. listener = keyboard. listener ( on _ press = self. on _ press ) | [
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def print ( self ) - > none : pass | [
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def init _ alphabet ( self, alphabet ) : self. alphabet = alphabet [ : ] self. symbol _ height = self. get _ symbol _ height ( ) | [
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def sigmoid ( self, x, derivative = false ) : if ( derivative = = true ) : return x * ( 1 - x ) else : return 1 / ( 1 + np. exp ( - x ) ) | [
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def post ( self, request : request ) - > response. response : try : allergy : models. allergy = models. allergy. create _ from _ json ( data = request. data, patient _ profile = request. user. patient _ profile ) except custom _ exceptions. datanotprovided as e : return response. response ( data = e. get _ response _ f... | [
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def cartesian _ parameters ( self ) : return self. mu _ list, self. k _ list | [
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def encrypt ( self, data : bytearray ) - > bytearray : if not isinstance ( data, ( bytes, bytearray ) ) : self. clear ( ) raise gostciphererror ('invalid plaintext data') gamma = bytearray ( ) result = bytearray ( ) for i in range ( get _ num _ block ( data, self. block _ size ) ) : gamma = self. _ cipher _ obj. encryp... | [
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def _ _ str _ _ ( self ) : alphabet = [ str ( s ) for s in self. alphabet ] tape _ alphabets = [ ] for tape in self. tapes : tape _ alphabets. append ( [ str ( s ) for s in tape. alphabet ] ) strval = \ " " " tm : % s ( sigma, gammas, q, q _ accept, q _ reject, q _ start, delta _ functions ) sigma = % s gammas = % s q ... | [
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def origin _ access _ identity _ id ( self ) - > typing. optional [ str ] : return self. _ values. get ('origin _ access _ identity _ id') | [
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def session _ start ( online, jrf _ targets, admin _ user, admin _ pass, admin _ url, domain _ home ) : _ method _ name ='session _ start'_ logger. entering ( online, jrf _ targets, admin _ user, admin _ url, domain _ home, class _ name = _ class _ name, method _ name = _ method _ name ) if online : _ _ online _ sessio... | [
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def plot _ geotweets ( self, normalize = true, cinema _ run = false ) : # get movie tweet count cell for all movies cell _ tweet _ count _ df = database _ helper. select _ query ( " tweet _ cell _ count " ) title = " { 0 } tweets per region ". format ( self. title ) map _ col ='counts'# load shapefile from ordnance sur... | [
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def input _ amounts ( blockheight = directory _ block _ height ) : transactions : object = factomd. factoid _ block _ by _ height ( blockheight ) ['fblock'] ['transactions'] for amount in transactions : inputs = amount ['inputs'] filtered _ inputs = list ( filter ( none, inputs ) ) # filter out empty strings for in _ a... | [
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def toggle _ string _ cache ( toggle : bool ) : pytoggle _ string _ cache ( toggle ) | [
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def schedule _ fetch ( ) : for instance _ group _ manager in models. instancegroupmanager. query ( ) : if instance _ group _ manager. url : utilities. enqueue _ task ('fetch - instances ', instance _ group _ manager. key ) | [
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def step _ type ( self, type ) : agents = self. agents _ by _ type [ type ] random. shuffle ( agents ) for agent in agents : agent. step ( ) | [
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def size ( w = 15, h = 8, fig = none ) : figure ( fig ). set _ size _ inches ( w, h ) | [
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def positionvalue ( scene, analyzer, test _ number, workbook = none, sheet _ format = none, agg _ dict = none ) : # get the stats auto ordered nested dictionary position = analyzer. get _ analysis ( ) if scene [ " save _ db " ] : df = pd. dataframe ( list ( position. values ( ) ) [ 1 : ], index = list ( position. keys ... | [
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def state _ message _ received ( msg : receivemessage ) - > none : if not self. _ on _ state _ callback : return if msg. topic = = self. _ cfg. state _ topic1 : state = get _ value _ by _ path ( msg. payload, self. _ cfg. value _ path [ : - 1 ] ) last _ node = self. _ cfg. value _ path [ - 1 ] if msg. topic = = self. _... | [
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def impacting _ phase ( self ) : r = self. grav. y [ 0 : 3 ] v = self. grav. y [ 3 : 6 ] magnetic _ field = fun. b _ field ( r ) a = ( self. prams ['charge'] / self. prams ['mass'] ) * np. cross ( v, magnetic _ field ) [ 2 ] a = a - var. g dr = self. prams ['length'] - r [ 2 ] if dr < 0 : dt = ( - v [ 2 ] - np. sqrt ( ... | [
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def inference ( self, x ) : with tf. variable _ scope ('recurrentnn') : pre _ trained _ embeddings = np. load ('datasets / clinicalts / basefiles / cdif / w2v / final _ embeddings. npy') vocab _ length, embedding _ dimension = pre _ trained _ embeddings. shape print ('embedding matrix dimensions, ', vocab _ length, emb... | [
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def reason ( self, reason ) : self. _ reason = reason | [
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def input _ fn ( params ) : batch _ size = params [ " batch _ size " ] num _ examples = len ( features ) # this is for demo purposes and does not scale to large data sets. we do # not use dataset. from _ generator ( ) because that uses tf. py _ func which is # not tpu compatible. the right way to load data is with tfre... | [
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def update _ problem _ schema ( self ) : if not self. problem _ updates : self. add _ error _ message ( ('no problem updates specified'' ( userproblemhelper )') ) return false # ( 1 ) get the original problem schema # success, prob _ schema _ or _ err = userproblemhelper. get _ current _ problem _ schema ( self. user _... | [
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def _ _ init _ _ ( _ _ self _ _ ) : pass | [
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def subselect _ region ( ds, props ) : # ds = ds. where ( ( ds. latitude > = 20 ) & ( ds. latitude < = 45 ) & ( ds. longitude > = - 85 ) & ( ds. longitude < = - 30 ), drop = true ) ds = ds. where ( ( ds. latitude > = props ['lat'] [ 0 ] ) & ( ds. latitude < = props ['lat'] [ 1 ] ) & ( ds. longitude > = props ['lon'] [ ... | [
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def log _ normal _ likelihood ( y _ obs, p ) : log _ pdf = scipy. stats. norm. logpdf ( y _ obs, loc = p [ 0 ], scale = p [ 1 ] ) log _ likelihood = np. nansum ( log _ pdf ) return log _ likelihood | [
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def snapshot ( self, label = none ) : result = self. _ client. post ( " { } / backups ". format ( instance. api _ endpoint ), model = self, data = { " label " : label }, ) if not " id " in result : raise unexpectedresponseerror ( " unexpected response taking snapshot! ", json = result ) # so the changes show up the nex... | [
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def tridiag ( ah ) : a = ah. copy ( ) n = a. shape [ 0 ] for k in range ( n - 2 ) : x = a [ k + 1 :, k ] e1 = zeros ( n - ( k + 1 ) ) e1 [ 0 ] = 1 v = sign ( x [ 0 ] ) * nla. norm ( x ) * e1 + x v = v / nla. norm ( v ) a [ k + 1 :, k : ] = a [ k + 1 :, k : ] - 2 * outer ( v, dot ( v, a [ k + 1 :, k : ] ) ) a [ k :, k +... | [
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async def get _ self ( self ) - > mythicresponse : url = " { } { } : { } / api / v { } / operators / me ". format ( self. _ http, self. server _ ip, self. _ server _ port, self. _ server _ api _ version ) resp = await self. get _ json ( url ) if resp. response _ code = = 200 and resp. status = = " success " : self. ope... | [
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def user _ principal _ names ( self ) - > sequence [ str ] : return pulumi. get ( self, " user _ principal _ names " ) | [
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async def listen _ for _ all _ payloads ( self, callback _ function = none, timeout = none ) : url = " { } { } : { } / ws / payloads / info / current _ operation ". format ( self. _ ws, self. _ server _ ip, self. _ server _ port ) if callback _ function : task = await self. stream _ output ( url, callback _ function, t... | [
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def location _ id ( self, location _ id ) : self. _ location _ id = location _ id | [
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def make _ canvas ( width, height, title ) : top = tkinter. tk ( ) top. minsize ( width = width, height = height ) top. title ( title ) canvas = tkinter. canvas ( top, width = width + 1, height = height + 1 ) canvas. pack ( ) return canvas | [
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def volume _ type _ get ( context, id ) : return impl. volume _ type _ get ( context, id ) | [
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def assign _ interface _ prejudice ( self ) : if ( ( self. interfaces is none ) or ( self. interface _ resistivity _ values is none ) ) : print ( " can't build prejudices, need to define interfaces " ) return else : # remove zero and negative resistivities self. interface _ resistivity _ values = [ max ( 1e - 6, rv ) f... | [
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def idle _ federated _ policy ( alice, bob ) : n = int ( constants. number _ of _ ursulas _ in _ network ) random _ label = b'label : / /'+ os. urandom ( 32 ) policy = alice. create _ policy ( bob, label = random _ label, m = 3, n = n, federated = true ) return policy | [
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def signed _ range _ value ( ranges : list [ valuerange ] ) - >'possiblevalueset': result = possiblevalueset ( ) result. _ value = 0 result. _ type = registervaluetype. signedrangevalue result. _ ranges = ranges result. _ count = len ( ranges ) return result | [
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def snapshot ( self, *, as _ json = false, beautify _ json = true ) : snapshot = super ( ). snapshot ( as _ json = false, beautify _ json = false ) snapshot. update ( {'moving _ mean': {'dtype': str ( self. moving _ means. dtype ),'values': self. moving _ means. tolist ( ) } if self. moving _ means is not none else non... | [
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def get _ mnist _ data ( test _ batch _ size : int, batch _ size : int ) - > tuple [ torch. utils. data. dataloader, torch. utils. data. dataloader ] : training _ data = torch. utils. data. dataloader ( torchvision. datasets. mnist ( " ~ /. torch / datasets ", train = true, download = true, transform = torchvision. tra... | [
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def to _ owl _ graph ( msdf : mappingsetdataframe ) - > graph : graph = to _ rdf _ graph ( msdf = msdf ) for _ s, _ p, o in graph. triples ( ( none, uriref ( uri _ sssom _ mappings ), none ) ) : graph. add ( ( o, uriref ( rdf _ type ), owl. axiom ) ) for axiom in graph. subjects ( rdf. type, owl. axiom ) : for p in gra... | [
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def get _ annotmatch _ reviewed ( ibs, annotmatch _ rowid _ list, eager = true, ninput = none ) : id _ iter = annotmatch _ rowid _ list colnames = ( annotmatch _ reviewed, ) annotmatch _ reviewed _ list = ibs. db. get ( const. annotmatch _ table, colnames, id _ iter, id _ colname ='rowid ', eager = eager, ninput = ninp... | [
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def license _ adviser ( file ) : header = iter ( " " ".. licensed under the apache license, version 2. 0 ( the " license " ) ; you may not.. use this file except in compliance with the license. you may obtain a copy of.. the license at.... http : / / www. apache. org / licenses / license - 2. 0.... unless required by a... | [
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def create _ user _ notifications _ settings ( sender, instance = none, created = false, * * kwargs ) : if created : bootstrap _ user _ notifications _ settings ( instance ) | [
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def linear _ search ( key, l ) : for i in range ( len ( l ) ) : if key = = l [ i ] : return i return - 1 | [
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def seconds _ since _ epoch ( date ) : epoch = arrow. get ( 0 ). datetime. replace ( tzinfo = pytz. utc ) return int ( ( date - epoch ). total _ seconds ( ) ) | [
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def _ _ init _ _ ( self, endpoints, client _ cls, pool _ size = thriftconnectionpool. default _ size, retries = 3, ttransport = ttransport. tbufferedtransport, tprotocol = tbinaryprotocol. tbinaryprotocol, use _ ssl = false, ca _ certs = none, cert = none, key = none ) : self. login _ token = none self. retries = retri... | [
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def get ( self, author _ name, post _ id ) : comment _ id = self. request. get ('cid') uri = self. uri _ for ('post - comments ', author _ name = author _ name, post _ id = post _ id ) if check _ author ( self. render _ params ['post']. key ( ), comment _ id, self. user. username ) : comment. comment. db _ delete ( sel... | [
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def print _ stats ( df, verbose = true ) : logger. info ('' ) logger. info ('documents in english : % d ', df [ df. language = ='eng']. shape [ 0 ] ) logger. info ('documents in french : % d ', df [ df. language = ='fre']. shape [ 0 ] ) if verbose : logger. info ('' ) logger. info ('uri descriptors :') logger. info ( d... | [
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def cloudfront _ domain _ name ( self ) - > str : return pulumi. get ( self, " cloudfront _ domain _ name " ) | [
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def make _ test _ pool ( pool _ name, pool _ disks ) : ( obj _ path _ exists, ( obj _ path, _ ) ), return _ code, msg = stratisdbus. pool _ create ( pool _ name, pool _ disks, none ) _ raise _ error _ exception ( return _ code, msg, obj _ path _ exists ) return obj _ path | [
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def encode ( self, plexus, * * kwds ) : # get my state date = self. date counter = self. counter # check that we were given enough information if counter is none or date is none : # and if not self. error. line ('not enough information to encode a token') self. error. line ('please supply a counter and a date') self. e... | [
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def test _ check _ basevalues _ window ( ) : # call checker function chmap, landmap, basevalues, time _ window, dim0 = mob. check _ inputs ( ch _ arr, basevalues = [ 0 ], window = 1, landmap = land _ arr ) # assert types assert dim0 = ='time'assert isinstance ( chmap, xr. dataarray ) is true assert isinstance ( landmap... | [
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def buy ( self, possible _ purchases, game _ state ) : return | [
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def test _ protprot _ fnat ( protprot _ caprimodule ) : protprot _ caprimodule. calc _ fnat ( ) assert round _ two _ dec ( protprot _ caprimodule. fnat ) = = 0. 05 | [
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def parse _ content _ with _ bindings ( content, variables _ binds, functions _ binds ) : if isinstance ( content, ( list, tuple ) ) : return [ parse _ content _ with _ bindings ( item, variables _ binds, functions _ binds ) for item in content ] if isinstance ( content, dict ) : evaluated _ data = { } for key, value i... | [
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def go ( self ) : # print ( self. user _ organism ) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # just locally # print ( " checkpoint # 1 " ... | [
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def _ ext _ addr ( v : union [ layerfieldscontainer, layerfield ] ) - > extaddr : assert not isinstance ( v, layerfieldscontainer ) or len ( v. fields ) = = 1 return extaddr ( v. get _ default _ value ( ) ) | [
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def clear _ term ( ) : if sys. platform = ='win32': subprocess. call ( " cls " ) else : subprocess. call ( " clear " ) | [
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def get _ standard _ time ( time ) : print ( f " \ nget _ standard _ time ( { time } ) " ) hour _ index = int ( time / 4 ) # extract hour 0 - 14 hour = 8 + hour _ index quarter = int ( time % 4 ) # extract quarter 0 - 3 print ( f " hour _ index = { hour _ index }, hour = { hour }, quarter = { quarter } " ) time _ strin... | [
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def get _ materials _ ids ( self ) : return self. _ request ( " materials " ) | [
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def check _ connections ( self ) : pass | [
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def direct _ access _ credentials ( self, dss _ endpoint : str, lambda _ name : str ) : if dss _ endpoint = = config. dss _ endpoint : role _ arn = config. dss _ direct _ access _ role ( lambda _ name ) else : role _ arn = none return self. assumed _ role _ credentials ( role _ arn ) | [
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def test _ either _ change _ or _ changepercent _ or _ desiredcapacity ( self ) : _ invalid = { " name " : " meh ", " cooldown " : 5, " type " : " webhook " } for props in [ {'change': 3,'changepercent': 23 }, {'change': 3,'desiredcapacity': 23 }, {'changepercent': 3,'desiredcapacity': 23 }, {'change': 4,'changepercent... | [
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def query _ valid _ attr _ values ( self, target, display _ mask, attr ) : reply = nvctrlqueryvalidattributevaluesreplyrequest ( display = self. display, opcode = self. display. get _ extension _ major ( extname ), target _ id = target. id ( ), target _ type = target. type ( ), display _ mask = display _ mask, attr = a... | [
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def convert _ string _ to _ dict ( preferences _ string ) : preferences _ dict = { } info _ categories = [ " titles ", " copies sold lst ", " release dates ", " genres ", " publishers " ] for key in info _ categories : preferences _ dict. update ( { key : [ ] } ) preferences _ lines = preferences _ string. splitlines (... | [
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0.49569982290267944,
0.44108134508132935,
-0.1787114888429... |
def step ( self, action ) : nextcell = tuple ( self. currentcell + self. directions [ action ] ) if not self. occupancy [ nextcell ] : self. currentcell = nextcell if self. rng. uniform ( ) < 1 / 3. : empty _ cells = self. empty _ around ( self. currentcell ) self. currentcell = empty _ cells [ self. rng. randint ( len... | [
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0.1092742308974266,
-0.09211841225624084,
0.44139933586120605,... |
def run _ toil ( args, output _ directory, jobstore _ path, logdir, tmpdir ) : cmd =''. join ( [ base _ toil _ runner ] + ['- - logfile ', os. path. join ( logdir, log _ file _ name ),'- - jobstore ','file : / /'+ jobstore _ path,'- - batchsystem ', args. batch _ system,'- - workdir ', tmpdir,'- - outdir ', output _ di... | [
0.4642541706562042,
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-0.17925620079040527,
-0.31595033407211... |
def process _ log _ data ( spark, input _ data, output _ data ) : # get filepath to log data files log _ data = input _ data +'log _ data / *. json'# read log data files log _ data _ df = spark. read. json ( log _ data ) # filter by actions for song plays log _ data _ df = log _ data _ df. filter ( log _ data _ df. pag... | [
0.03788181394338608,
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0.9997158646583557,
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0.47153031826019287,
0.3778712749481201,
0.8784148693084717,
-0.3824821412563324,
... |
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