text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def core _ application _ stats _ engine ( app _ name = none ) : api _ application = application ( app _ name ) api _ name = api _ application. name core _ application = api _ application. _ agent. application ( api _ name ) return core _ application. _ stats _ engine | [
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def _ _ len _ _ ( self ) : return self. size | [
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def rss ( self, tablename = " default ", page = 1, results _ x _ page = 300, site _ title = " comment system ", site _ link = " http : / / www. myursite. com / ", site _ description = " my desctiption " ) : db = self. boilerplate. db t = current. t request = current. request table _ comments = db [ self. table _ commen... | [
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def remove _ from _ instance ( self, context, instance, security _ group _ name ) : neutron = neutronapi. get _ client ( context ) try : security _ group _ id = neutronv20. find _ resourceid _ by _ name _ or _ id ( neutron,'security _ group ', security _ group _ name, context. project _ id ) except n _ exc. neutronclie... | [
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def on _ deleted ( self, event ) : self. file _ metadata _ cache. remove _ item ( event. src _ path ) | [
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def clearfield ( self, * args, * * kwargs ) : # real signature unknown pass | [
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def close ( self ) : self. _ fileout. close ( ) | [
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def refund ( self, cr, uid, ids, context = none ) : clone _ list = [ ] line _ obj = self. pool. get ('pos. order. line') refund _ journal = none for order in self. browse ( cr, uid, ids, context = context ) : current _ session _ ids = self. pool. get ('pos. session'). search ( cr, uid, [ ('state ', '! = ','closed'), ('... | [
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def settitle ( self, text ) : self. _ main. send ( " setcontactlisttitle ", [ text ] ) pass | [
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def stream _ checkpoint _ path ( self ) - > optional [ str ] : return self. _ _ stream _ checkpoint _ path | [
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async def restart _ containers ( self, node _ uuid : nodeid ) - > none : if node _ uuid not in self. _ inverse _ search _ mapping : raise dynamicsidecarnotfounderror ( node _ uuid ) service _ name = self. _ inverse _ search _ mapping [ node _ uuid ] scheduler _ data : schedulerdata = self. _ to _ observe [ service _ na... | [
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def threaded ( c ) : c. send ( " server connected ". encode ( ) ) while true : # data received from client try : data = c. recv ( 1024 ) if not data : print ('disconnecting from client...') # lock released on exit print _ lock. release ( ) break with stdoutio ( ) as s : byte _ code = compile _ restricted ( data, safe _... | [
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def create _ action _ client ( action ) : action _ cls = get _ action _ class ( action ) client = actionlib. simpleactionclient ( action, action _ cls ) return client | [
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def new ( * args, * * kargs ) : obj = itkimageserieswriteriuc3iuc2. _ _ new _ orig _ _ ( ) import itktemplate itktemplate. new ( obj, * args, * * kargs ) return obj | [
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def calc _ param ( step ) : if step < 10000 : return 0. 1, 0. 1 else : p = 0. 1 + ( step - 9999 ) * 0. 4 / 10000 return p, p | [
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def sgd ( self, mini _ batch, eta ) : # provide the mini _ batch and the learning rate # create empty derivative array of vectors for each layer nabla _ b = [ np. zeros ( b. shape ) for b in self. biases ] nabla _ w = [ np. zeros ( w. shape ) for w in self. weights ] for x, y in mini _ batch : # call backprop for this ... | [
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def testcaserange ( values : np. ndarray, rangemin : float, rangemax : float, rangebins : int, plottoo : bool = false ) : print ( ) print ( f " float rangemin = { rangemin } ; " ) print ( f " float rangemax = { rangemax } ; " ) print ( f " int rangebins = { rangebins } ; " ) counts, edges = np. histogram ( values, bins... | [
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def execute _ classifiers ( self ) : for i in range ( len ( self. modellist ) ) : fit _ obj = self. modellist [ i ]. fit ( self. trainingdata, self. train _ labels ) result = fit _ obj. predict ( self. testingdata ) self. results [ type ( self. modellist [ i ] ). _ _ name _ _ ] = metrics. accuracy _ score ( result, sel... | [
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def func _ wrapper ( config : builderconfig, * * kwargs ) : if not config. data _ files : raise valueerror ( f " at least one data file must be specified, but got data _ files = { config. data _ files } " ) data _ files = config. data _ files if isinstance ( data _ files, ( str, list, tuple ) ) : files = data _ files i... | [
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def _ export _ lun ( self, volume, connector = none, igroup = none ) : lun _ id = - 1 export _ to ='' v = self. vmem _ vip if igroup : export _ to = igroup elif connector : export _ to = connector ['initiator'] else : raise exception. error ( _ ( " no initiators found, cannot proceed " ) ) target _ name = self. _ get _... | [
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def human _ readable _ time ( seconds ) : units = [ ( " year ( s ) ", 60 * 60 * 24 * 365 ), ( " month ( s ) ", 60 * 60 * 24 * 30 ), ( " week ( s ) ", 60 * 60 * 24 * 7 ), ( " day ( s ) ", 60 * 60 * 24 ), ( " hour ( s ) ", 60 * 60 ), ( " minute ( s ) ", 60 ), ( " second ( s ) ", 1 ) ] values = [ ] seconds = int ( seconds... | [
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def set _ led _ battery _ state ( self, state ) : level = self. command _ value _ on if state else self. command _ value _ off try : self. _ write ( self. command _ set _ led _ batt _ mon, [ level ] ) except keyboardinterrupt as e : # pragma : no cover self. _ log. warning ( " keyboard interrupt, % s ", e ) raise e exc... | [
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def location ( self ) : return self. location _ value | [
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def bit _ count _ even ( number ) : res = bin ( number ) [ 2 : ]. count ('1') return res % 2 = = 0 | [
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def managed _ by _ tower ( self ) : return self. _ data. get ('managed _ by _ tower') | [
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def _ get _ fiscalyear ( self, cr, uid, context = none ) : return self. pool. get ('account. fiscalyear'). find ( cr, uid, exception = false, context = context ) | [
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def evaluationfunction ( self, currentgamestate, action ) : # useful information you can extract from a gamestate ( pacman. py ) successorgamestate = currentgamestate. generatepacmansuccessor ( action ) newpos = successorgamestate. getpacmanposition ( ) newfood = currentgamestate. getfood ( ) newghoststates = successor... | [
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def _ findextensionbyname ( self, * args, * * kwargs ) : # real signature unknown pass | [
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def _ get _ version _ doc ( self, revision _ id ) : # read and parse shipyard. conf config = configparser. configparser ( ) config. read ( self. shipyard _ conf ) doc _ name = config. get ('document _ info ','deployment _ version _ name') doc _ schema = config. get ('document _ info ','deployment _ version _ schema') d... | [
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def chunks ( l, n ) : for i in range ( 0, len ( l ), n ) : yield l [ i : i + n ] | [
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def get _ name _ server _ id ( ) : file = open ( node _ config,'r') cmd = " uname - n " process = subprocess. popen ( cmd, shell = true, stdout = subprocess. pipe ) process. wait ( ) host _ name = process. stdout. read ( ). strip ( ) for line in file. readlines ( ) : token = line. rstrip ('\ n'). split ( ) if host _ na... | [
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def _ calculate _ histogram _ pixel _ stats ( self, hist ) : bins = len ( hist ) n = float ( sum ( hist ) ) hist _ probability = [ hist [ i ] / n for i in range ( bins ) ] # percentage of pixels at each intensity level : i = > p _ i # mean level of pixels at intensity level i = > i * p _ i pixel _ mean = [ i * hist _ p... | [
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def status _ favourite ( self, id : union [ status, idtype ] ) - > status : id = self. _ _ unpack _ id ( id ) return self. _ _ api _ request ('post ', f'/ api / v1 / statuses / { id } / favourite') | [
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def test _ all _ survey _ package _ instance _ record _ fail ( self, client, all _ survey _ package _ instances ) : with pytest. raises ( castorexception ) as e : client. all _ survey _ package _ instances ( record = " 00fake " ) assert str ( e. value ) = = " 404 not found. " | [
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def db _ engine ( ) : postgres _ engine = create _ engine ( " postgresql : / / / postgres ", isolation _ level = " autocommit " ) db _ create ( postgres _ engine ) engine = create _ engine ( url ( * * database _ info ) ) yield engine engine. dispose ( ) db _ drop ( postgres _ engine ) postgres _ engine. dispose ( ) | [
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def mk _ scheduler ( self, rules = none, project _ tree = none, work _ dir = none, include _ trace _ on _ error = true ) : rules = rules or [ ] goals = { } work _ dir = work _ dir or self. _ create _ work _ dir ( ) project _ tree = project _ tree or self. mk _ fs _ tree ( work _ dir = work _ dir ) return localscheduler... | [
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def user _ stats ( df, city ) : print ('\ ncalculating user stats... \ n') start _ time = time. time ( ) # to do : display counts of user types user _ types = df. groupby ('user type') ['user type']. count ( ) print ('\ n \ t count of user types \ n ', user _ types ) # to do : display counts of gender if'gender'in df. ... | [
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def _ get _ config _ path ( ) : repo _ dir = osp. dirname ( osp. dirname ( osp. dirname ( _ _ file _ _ ) ) ) config _ dpath = osp. join ( repo _ dir,'configs') if not osp. exists ( config _ dpath ) : raise exception ('cannot find config path') config _ fpaths = list ( glob. glob ( osp. join ( config _ dpath,'*. py') ) ... | [
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def get _ action ( self, bot _ name, got _ action ) : self. notify _ bots _ turn ( bot _ name ) bot = self. bot _ from _ name ( bot _ name ) timebank = self. get _ time _ for _ move ( bot _ name ) answer = bot. ask ( timebank ) if not answer : return none time, response = answer # todo : hook time taken back in to bot ... | [
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def add ( self, item ) : if item in self. item _ to _ position : raise keyerror ( ) # return self. items. append ( item ) self. item _ to _ position [ item ] = len ( self. items ) - 1 | [
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def create _ connection ( self ) : if self. _ driver = = " psycopg2 " : try : import psycopg2 conn = psycopg2. connect ( database = self. _ database, user = self. _ user, password = self. _ password, host = self. _ host ) except exception as ex : raise ex elif self. _ driver = = " mysqldb " : try : import mysqldb conn ... | [
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def cond _ exp _ monte _ carlo _ linear ( self, x, s, n ) : x _ in = x. copy ( ) cat _ va = [ ca for ca in s if ca in self. cat _ index ] # get categorical index s _ cu = [ cu for cu in s if cu not in self. cat _ index ] # get numerical index def get _ given _ data ( idx ) : val = np. array ( [ x [ idx ] ] ) val = np. ... | [
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def get _ popular _ datasets ( n ) : user = tk. get _ action ('get _ site _ user') ( {'ignore _ auth': true }, { } ) context = {'user': user ['name'] } data _ dict = {'sort':'views _ total desc ','q':'type : dataset'} datasets = tk. get _ action ('package _ search') ( context, data _ dict ) ['results'] if len ( dataset... | [
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def friends ( name ) : friends _ list = person. objects. get ( name = name ). friends. all ( ) return set ( friends _ list ) | [
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def _ _ str _ _ ( self ) : return'{ } '. format ( self. word ) | [
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def list _ all _ modules ( package ) : return [ name for _, name, _ in pkgutil. iter _ modules ( [ package. replace ( '. ', os. path. sep ) ] ) ] | [
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def _ calcrect ( self ) : self. rect. x = self. realrect. x - int ( round ( 0. 5 * block _ size ) ) self. rect. y = int ( round ( 0. 7 * self. realrect. y ) ) + wall _ height - self. rect. height | [
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def get _ value ( self ) - > bytes : return self. value | [
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def adjust _ learning _ rate ( optimizer, epoch, lr _ steps ) : # 文 中 前 40 epoch 0. 01 的 学 ， 40 epoch 之 10 epoch 学 原 的 0. 1 ， 70 epoch 。 decay = 0. 1 * * ( sum ( epoch > = np. array ( lr _ steps ) ) ) lr = args. lr * decay decay = args. weight _ decay for param _ group in optimizer. param _ groups : param _ group ['lr'... | [
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def test _ score _ model ( ) : fset = sample _ featureset ( 10, 1, ['amplitude ','maximum ','minimum ','median'], ['class1 ','class2'] ) model = build _ model. models _ type _ dict ['randomforestclassifier'] ( ) model = build _ model. build _ model _ from _ featureset ( fset, model ) score = build _ model. score _ mode... | [
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def compare _ dirs ( gold _ dir, guess _ dir ) : # get files in the gold directory to _ skip = set ( ) gold _ bdms = { } for annfile in os. listdir ( gold _ dir ) : if annfile. endswith ( '. xml') : try : gold _ bdms [ annfile ] = bratdatamodel ( ) gold _ bdms [ annfile ]. addannotations ( os. path. join ( gold _ dir, ... | [
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def to _ hugectr ( self, output _ path, cats, conts, labels, shuffle = none, file _ partition _ map = none, out _ files _ per _ proc = none, num _ threads = 0, dtypes = none, ) : # for now, we must move to the gpu to # write an output dataset. # todo : support cpu - mode output self. to _ gpu ( ) shuffle = _ check _ sh... | [
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def subtract _ number ( self, value _ a ) : self. result = self. result - value _ a | [
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def decrypt _ section ( crib : str, index : int, cipher1 : str, cipher2 : str, target : str ) - > ( str, str ) : # calculate the key from each key1 = xor _ strings ( string _ to _ hex ( crib ), cipher1 [ index : ] ) key2 = xor _ strings ( string _ to _ hex ( crib ), cipher2 [ index : ] ) # use each key to decrypt the t... | [
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def genvhdlpkg ( config ) : corename = config. get ('outcorename') ; packagename ='% s _ pkg'% corename ; packagefilename ='% s. vhd'% packagename ; try : fp = open ( packagefilename,'wt') ; except : raise ssbccexception ('could not open % s'% packagefilename ) ; fp. write ('library ieee ; \ n') ; fp. write ('use ieee.... | [
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def is _ trivial ( self ) : return self. _ call ('is _ trivial'). yes | [
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def subscribereceive ( self, request, context ) : context. set _ code ( grpc. statuscode. unimplemented ) context. set _ details ('method not implemented!') raise notimplementederror ('method not implemented!') | [
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def _ getdefaultvalueslist ( unbatched _ shape : list [ int ], feature _ type : schema _ pb2. featuretype, default _ value _ proto : schema _ pb2. tensorrepresentation. defaultvalue ) - > list [ union [ int, float, bytes ] ] : kind = default _ value _ proto. whichoneof ( " kind " ) default _ value = getattr ( default _... | [
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def coarse _ stress _ pattern ( self ) - > sequence [ coarsestress ] : summary = [ ] for stress in self. stress _ pattern : if stress = = stress. no _ stress : summary. append ( coarsestress. weak ) elif stress in { stress. primary, stress. secondary } : summary. append ( coarsestress. strong ) return summary | [
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def _ mgui _ set _ column _ headers ( self, headers : sequence ) - > none : self. _ qwidget. sethorizontalheaderlabels ( tuple ( map ( str, headers ) ) ) | [
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def next ( self ) : self. state = np. array ( list ( map ( seeding. hash _ seed, self. state ) ), dtype = np. uint32 ) | [
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def train _ iterable ( self, data ) : if not isinstance ( data, types. generatortype ) : if self. tokenization = = tokenization. character : if type ( data )! = str : raise typeerror elif self. tokenization = = tokenization. word : if type ( data )! = str : raise typeerror else : data = tuple ( data. split ( ) ) elif s... | [
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def _ parse _ include _ lists ( self, included, excluded ) : has _ spec = false if included is not none : has _ spec = true if type ( included ) is list : include _ list = included else : include _ list = [ included ] else : include _ list = ['*'] if excluded is not none : has _ spec = true if type ( excluded ) is list... | [
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def get _ tile ( self, address ) : w, h = address tile _ mask = self. mask [ h : h + self. _ mask _ size, w : w + self. _ mask _ size ] w = w * self. mask _ scale _ factor + self. _ l0 _ offset [ 0 ] h = h * self. mask _ scale _ factor + self. _ l0 _ offset [ 1 ] size = ( self. tile _ size, self. tile _ size ) tile = s... | [
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def current _ frame ( self ) : return hou. frame ( ) | [
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def gp _ ex _ fig _ 22 ( ) : x = [ [ - 4. 0 ], [ - 3. 0 ], [ - 1. 0 ], [ 0. 0 ], [ 2. 0 ], ] y = numpy. array ( [ - 2. 0, 0. 0, 1. 0, 2. 0, - 1. 0 ] ) ln = infpy. lognormaldistribution gamma = infpy. gammadistribution k = ( infpy. noise _ kernel (. 2, gamma ( 1. 0, 1. 0 ) ) + infpy. constantkernel ( ) * infpy. squarede... | [
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def get _ project _ home ( path = none ) : previous _ path = none current _ path = path or os. getcwd ( ) # loop until we're at the root of the volume while current _ path! = previous _ path : # check if '. aldryn'file exists in current directory dotfile = os. path. join ( current _ path, settings. aldryn _ dot _ file ... | [
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def linear _ regression _ simulation _ ys ( nobs, xs, param _ matrix, ymeans = none, yvars = none ) : if ymeans is none : ymeans = [ 0 ] if yvars is none : yvars = [ 1 ] vals = identity ( xs. dot ( param _ matrix ) ) e _ mean, e _ varcov = set _ matrices ( 1, ymeans, yvars ) es = simulate _ from _ mvn _ covariance _ st... | [
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def filter _ setaveragingfactor ( averagingfactor ) : return none | [
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def execute _ report ( self ) : print ( ) filenames = self. get _ filenames ( ) order _ status _ tag = self. order _ status _ tag +'='execution _ report _ tag = self. execution _ report _ tag for filename in filenames : fix _ file = open ( f'{ settings. relative _ path } / { filename } ','r') for message in fix _ file.... | [
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def composed ( self, * args ) : return _ topods. topods _ shape _ composed ( self, * args ) | [
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def _ _ get _ pakkr _ returns ( self ) - > _ returntype : if self. _ _ custom _ returns is not none : return self. _ _ custom _ returns return self. _ _ steps _ returns | [
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def entropy ( message ) : n = len ( message ) message = letter _ freq ( message ) h = 0 for n _ i in message. values ( ) : p _ i = n _ i / n h + = - p _ i * ( np. log ( p _ i ) ) return h / np. log ( 2 ) | [
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def _ _ init _ _ ( self ) : # pylint : disable = super - init - not - called self. _ mobile = none self. _ switch _ to = none self. capabilities = {'takesscreenshot': true } self. screenshot64 = none | [
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def test _ form _ submit _ bad _ hash ( self ) : # pass strings for form submittal and add stage variable to # show we previously saw first stage of the form. self. test _ data. update ( {'stage': 2 } ) response = self. client. post ( self. url, self. test _ data ) self. assertequal ( response. status _ code, 200 ) sel... | [
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def translate _ list ( contract, context ) : items = [ ] for value in contract : if isinstance ( value, int ) : pass else : items. append ( translate ( value, context ) ) if len ( items ) = = 0 : return {'type':'array'} elif len ( items ) = = 1 : return {'type':'array ','items': items [ 0 ], } else : return {'type':'ar... | [
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def connectcallback ( self, signal ) : if signal in self. _ connectionmap. getsignalnames ( ) : connections = self. _ connectionmap. getconnectionsbysignalname ( signal ) for object in connections : self. _ connectstudiomaxsignal ( object, signal ) else : cross3d. logger. debug ('connect : signal % s has no signal map'... | [
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def account _ search ( request ) : if request. method = ='post': # get search key data from search form search _ value = request. post. get ('search _ value') print ( " = = = = = = = = = = = = = = = = = = = = = = = = " ) # get all requirements in order, installation and account status if request. user. has _ perm ('cus... | [
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def read _ juicer _ dump ( dumpfile, resolution ) : dumped = open ( dumpfile,'r') print ( " processing " + dumpfile ) nonzero _ beads = [ ] for i in dumped : line = i. strip ( ). split ( ) nonzero _ beads. append ( ( ( int ( ceil ( int ( line [ 0 ] ) / resolution ) ) ) - 1, int ( ceil ( ( int ( line [ 1 ] ) / resolutio... | [
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def service _ usage ( filename, user ) : # lists to capture duration on specific day of the week durations _ monday = [ ] durations _ tuesday = [ ] durations _ wednesday = [ ] durations _ thursday = [ ] durations _ friday = [ ] durations _ saturday = [ ] durations _ sunday = [ ] # initialize counters - one counter for ... | [
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def clean _ the _ input ( line ) : try : chk = float ( line ) line = str ( ecf. round _ up ( float ( line ) ) ) except : pass return line | [
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def feed ( self, x ) : return self. _ feed _ next ( activations = x, layer = 0 ) | [
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def _ process _ requests ( self, network _ messages ) : super ( ). _ process _ requests ( network _ messages ) for mess in network _ messages : if mess. type = = climess. messagetype. orange _ attack and self. can _ attack ( ) : self. _ attack ( ) | [
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def connect _ tiles ( self, tile _ 1, tile _ 2 ) : if self. get _ tile _ north _ neighbor ( tile _ 1 ) = = tile _ 2 : # tile _ 2 is north of tile _ 1, knock tile _ 2 south wall # and tile _ 1 north wall tile _ 1. knock _ wall ( " north " ) tile _ 2. knock _ wall ( " south " ) elif self. get _ tile _ east _ neighbor ( t... | [
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def testdeletevaluesforquerywithunknowntag ( self ) : securetagapi ( self. user ). create ( [ ( u'username / bar ', u'description'), ( u'username / foo ', u'description') ] ) objectid1 = uuid4 ( ) objectid2 = uuid4 ( ) # fixme replace this with securetagvalueapi once the index is # integrated values = { objectid1 : { u... | [
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def configured ( self, config _ or _ config _ fn : any, name : optional [ str ] = none, config _ schema : optional [ userconfigschema ] = none, description : optional [ str ] = none, ) - > self : name = check. opt _ str _ param ( name, " name " ) new _ config _ schema = configureddefinitionconfigschema ( self, convert ... | [
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def fit ( self, synthetic _ data, key _ fields, sensitive _ fields ) : raise notimplementederror ('please implement fit method of attackers') | [
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def _ stop _ event _ dispatch ( self ) : log. debug ( " % r : not unregistering listener url to avoid affecting " " other rsn platform drivers ", self. _ platform _ id ) # unregister listener : # self. _ unregister _ event _ listener ( self. listener _ url ) # note : no, don't unregister : other drivers might still be ... | [
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def is _ blocker ( self ) : return self. _ call ('is _ blocker'). yes | [
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def prep _ bet ( self ) : bet _ str = " bet : $ " + str ( self. stats. bet ) self. bet _ image = self. font. render ( bet _ str, true, self. text _ color, self. settings. bg _ color ) # display the wallet at the bottom right of the screen self. bet _ rect = self. bet _ image. get _ rect ( ) self. bet _ rect. bottomrigh... | [
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def load _ np _ arr ( save _ path, file _ name ) : # type : str - > str - > ( ) with open ( os. path. join ( save _ path, file _ name + '. npy'),'r') as f : return np. load ( f ) | [
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def filepaths ( self ) : return [ path for path in self. allpaths if os. path. isfile ( path ) ] | [
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def insert ( self, data ) : if isinstance ( data, ( int, float ) ) : new _ node = node ( data ) if not self. root : self. root = new _ node self. _ size + = 1 return curr = self. root while curr : if new _ node. data < curr. data : if curr. left is none : new _ node. depth = curr. depth + 1 curr. left = new _ node new ... | [
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def _ _ init _ _ ( self, * arguments ) : if len ( arguments ) = = 0 : self. pt1 = point ( 0, 0 ) self. pt2 = point ( 1, 1 ) elif len ( arguments ) = = 2 : if not all ( isinstance ( pt, point ) for pt in arguments ) : raise valueerror ( " arguments are not points " ) self. pt1, self. pt2 = arguments elif len ( arguments... | [
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def apply _ function ( values, function ) : if isinstance ( values, list ) : return [ apply _ function ( v, function ) for v in values ] elif isinstance ( values, tuple ) : return tuple ( apply _ function ( v, function ) for v in values ) elif isinstance ( values, mapping ) : return { k : apply _ function ( v, function... | [
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def _ chunk _ vmapped _ function ( vmapped _ fun : callable, chunk _ size : optional [ int ], argnums = 0 ) - > callable : if chunk _ size is none : return vmapped _ fun if isinstance ( argnums, int ) : argnums = ( argnums, ) return hashablepartial ( _ fun, vmapped _ fun, chunk _ size, argnums ) | [
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def hibernate ( delay = 60, confirm = false, reason = " unknown ", allow _ auto _ update = true, * * kwargs ) : return sleep ( interval = 0, delay = delay, acc _ off = true, confirm = confirm, reason = reason, allow _ auto _ update = allow _ auto _ update, * * kwargs ) | [
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def str _ yyyymmdd ( self ) : return str ( self. _ date. year ) + " % 02d " % self. _ date. month + " % 02d " % self. _ date. day | [
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def test _ complain _ if _ not _ datetime _ index ( self ) : closes = pd. dataframe ( np. random. rand ( 3, 2 ), columns = [ " fi12345 ", " fi23456 " ], index = pd. index ( [ " foo ", " bar ", " bat " ], name = " date " ) ) with self. assertraises ( parametererror ) as cm : get _ prices _ reindexed _ like ( closes, " c... | [
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0.5837384462356567,
0.383816659450531,
-0.2922648787498474,
0.6330465078353882,
-0.21613815426826477,
-0.3181310296058655,
-0.4905162453651428,
0.25988566875457764,
-0.12368378043174744,
0.8353694677352905,
-1.0889394283294678,
0.09096091240644455,... |
def _ init _ hashtables ( self ) : self. hash _ tables = [ storage ( self. storage _ config, i ) for i in range ( self. num _ hashtables ) ] | [
0.032407425343990326,
0.9164870977401733,
0.5026376843452454,
1.2710403203964233,
0.727567195892334,
0.4920603632926941,
0.6294180154800415,
-0.44696012139320374,
-0.6242996454238892,
-0.255384236574173,
-1.2485042810440063,
-0.7919376492500305,
0.07731819897890091,
0.2466212958097458,
0... |
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