text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def test _ grpdiff _ bsln ( self ) : assert ( self. roi _ gs _ df is not none ), " run remove _ site _ effects ( ) first " # define log file logfile = self. roidata _ dir + " grpdiff _ bsln _ " + self. metric + " _ log. txt " if os. path. isfile ( logfile ) : os. remove ( logfile ) # use data with outliers excluded / i... | [
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def _ reviewcurrentline ( self, inputevent, speechtype = 1 ) : context = self. getflatreviewcontext ( ) [ linestring, x, y, width, height ] = \ context. getcurrent ( flat _ review. context. line ) # don't announce anything from speech if the user used # the braille display as an input device. # if not isinstance ( inpu... | [
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def replacegroundsbyid ( data ) : mapping = dict ( zip ( groundtype, range ( len ( groundtype ) ) ) ) data ['sol']. replace ( mapping, inplace = true ) | [
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def repro _ func ( lst _ steps ) : if ( ( lst _ steps. count ('e') + lst _ steps. count ('f') ) > = 2 ) : return false else : return true | [
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def isleaf ( self ) : return ( self. childs [ 0 ] is none and self. childs [ 1 ] is none and self. childs [ 2 ] is none and self. childs [ 3 ] is none ) | [
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def getlastevent ( self, typeid, deviceid, eventid ) : events = apiclient. deviceeventcacheurl % ( self. host, typeid, deviceid, eventid ) r = requests. get ( events, auth = self. credentials, verify = self. verify ) status = r. status _ code if status = = 200 : response = r. json ( ) if response [ " format " ] = = " j... | [
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def _ _ call _ _ ( self, doc : doc ) - > doc : if not self. lowercase : remove _ lowercase ( doc ) if self. accents is not none : self. accents ( doc ) if self. quotes is not none : self. quotes ( doc ) if self. spaces is not none : self. spaces ( doc ) if self. pollution is not none : self. pollution ( doc ) return do... | [
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def get _ namespace _ authorization _ rule ( name : optional [ str ] = none, namespace _ name : optional [ str ] = none, resource _ group _ name : optional [ str ] = none, opts : optional [ pulumi. invokeoptions ] = none ) - > awaitablegetnamespaceauthorizationruleresult : _ _ args _ _ = dict ( ) _ _ args _ _ ['name'] ... | [
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def detect _ faces ( image, face _ detector = none, eye _ detector = none ) : if face _ detector is none : print ( " error : no face detector input, please give the detector of face or eye " ) return - 1 img _ gray = cv2. cvtcolor ( image, cv2. color _ rgb2gray ) faces = face _ detector. detectmultiscale ( img _ gray, ... | [
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def _ _ init _ _ ( self ) : self. _ playbook _ root = ss. config. get _ config _ value ('ansible _ playbook _ root ', none ) self. _ inventory _ path = os. path. join ( self. _ playbook _ root, ss. config. get _ config _ value ('ansible _ inventory ', none ) ) self. _ playbook _ path = os. path. join ( self. _ playbook... | [
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def whichxytheta ( self, step _ prev, step _ cur ) : self. logger. debug ( " step _ prev is { }, step _ cur is { } ". format ( str ( step _ prev ), str ( step _ cur ) ) ) prev _ theta = round ( float ( step _ prev [ " cont _ theta " ] ), 5 ) prev _ x = round ( float ( step _ prev [ " cont _ x " ] ), 5 ) prev _ y = roun... | [
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def select ( self ) : # number of dimensions. k = self. models [ 0 ]. x. shape [ 1 ] # compute the number of evaluations to perform. as a heuristic, we use # ten times the number of hyperparameters. n _ evals = 10 * k # create random points in the vicinity of the optimal input. this is for # exploitation purposes. x _ ... | [
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def cmd ( self ) : return none | [
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async def get _ password _ reset ( self, password _ reset _ id ) - > user : await self. connect _ to _ database ( ) password _ reset _ q = await self. db ['passwordresets']. find _ one ( {'id': objectid ( password _ reset _ id ) } ) if password _ reset _ q : return await self. serializepasswordreset ( password _ q = pa... | [
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def test _ example _ input _ one _ required _ field _ interval ( self, ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) : input _ page = inputpage ( ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) input _ page. create _ new _ input. select ( " example input one " ) input _ page. entity1... | [
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def _ _ len _ _ ( self ) : if self. length is none : self. length = 0 for _ in self : self. length + = 1 return self. length | [
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def list _ jobs ( ) : return json. dumps ( { jobid : workflow _ to _ dict ( wf ) for jobid, wf in persistence. get _ queue ( ). iteritems ( ) } ) | [
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def wrapper ( * args, * * kwargs ) : message _ warn =''. join ( ['{ : } must be installed '. format ( package _ name ),'to use { : }. '. format ( func. _ _ name _ _ ),'see instructions at ','https : / / github. com / pysat / pysatmissions'] ) try : func ( * args, * * kwargs ) except nameerror as nerr : # triggered if c... | [
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def test _ atomic _ qname _ pattern _ nistxml _ sv _ iv _ atomic _ qname _ pattern _ 1 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - pattern - 1. xsd ", instance = " nistdata / atomic / qname / schema... | [
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def set _ username ( self, value ) : super ( searchbycategoryinputset, self ). _ set _ input ('username ', value ) | [
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def _ _ init _ _ ( _ _ self _ _, resource _ name : str, opts : optional [ pulumi. resourceoptions ] = none, data _ access _ spec : optional [ pulumi. input [ pulumi. inputtype ['googleclouddataplexv1dataaccessspecargs'] ] ] = none, data _ attribute _ id : optional [ pulumi. input [ str ] ] = none, data _ taxonomy _ id ... | [
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def profle _ setting ( ) : # handle if signed in if not authentication ( session ). is _ signed _ in ( ) : return redirect ( " / login " ) return render _ template ( " user / profile _ setting. html " ) | [
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def _ _ mul _ _ ( self, other ) : if not isinstance ( other, ( int, long ) ) : raise typeerror ('encrypted message must be multiplied by a number') return encryptedmessage ( self. pub, pow ( self. ctxt, other % self. pub. n _ sq, self. pub. n _ sq ) ) | [
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def processoptions ( self, optlist ) : outputstatisticsannotations. processoptions ( self, optlist ) for o, a in optlist : if o = = " - - ref _ domains " : self. mtablenamereferencedomains = a elif o = = " - - ref _ families " : self. mtablenamereferencefamilies = a elif o = = " - - full - table " : self. mfulltable = ... | [
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def test _ atomic _ qname _ length _ 4 _ nistxml _ sv _ iv _ atomic _ qname _ length _ 5 _ 1 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - length - 5. xsd ", instance = " nistdata / atomic / qname / schem... | [
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def actionswithhandindex ( self, state, hand _ index, ingame ) : # list of legal actions actions = [ ] # if betting, only one list if hand _ index = = 5 : actions = self. getlegalthings ( state, 0 ) else : # list of legal actions for playing actions = self. getlegalthings ( state, ingame ) [ hand _ index ] # print " ac... | [
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def schema ( self ) : return schema ( self ) | [
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def find _ songs _ close ( artist = " ed sheeran " ) : songs = [ ( a, n ) for a, n in zip ( music. artists, music. name ) if a = = artist ] def energy _ songs ( energy = 0. 8 ) : songs = [ ( a, n, e ) for a, n, e in zip ( music. artists, music. name, music. energy ) if e > energy and a = = artist ] return songs return ... | [
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def meas _ function ( self, digital _ number, gains, dark _ signal, temp ) : return gains * ( digital _ number - dark _ signal ) + temp * * 0. 3 | [
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def test _ list _ decimal _ max _ length _ 1 _ nistxml _ sv _ iv _ list _ decimal _ max _ length _ 2 _ 1 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / decimal / schema + instance / nistschema - sv - iv - list - decimal - maxlength - 2. xsd ", instance = " nistdata / list / ... | [
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def loop ( self ) : try : while self. running : for cmd in self. core. recv ( ) : if not self. running : break self. _ handle _ log ( cmd ) self. _ handle _ read ( cmd ) self. _ handle _ reply ( cmd ) self. _ handle _ timeout ( ) else : if not self. running : break self. _ handle _ read ( ) self. _ handle _ timeout ( )... | [
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def test _ pass _ threshold _ optional ( self ) : request = {'addresses': [ address ( self. trytes1 ) ], } filter _ = self. _ filter ( request ) self. assertfilterpasses ( filter _ ) self. assertdictequal ( filter _. cleaned _ data, {'addresses': [ address ( self. trytes1 ) ],'threshold': 100, }, ) | [
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def generate _ report ( data _ list ) : # draw the menu selection menu _ selection ( " menu _ 6 - generate report? ", menu _ 6 ) value = get _ integer ( " select report generation ", " 0 ", len ( menu _ 6 ) - 1 ) # clear the menu and the selection line clear _ area ( 20, 6, 40, 15, background, background ) clear _ line... | [
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def read _ urls ( filename ) : # + + + your code here + + + f = open ( filename,'ru') images = re. findall ( r'get \ s ( \ s + / puzzle / \ s + ) \ shttp ', f. read ( ) ) paths = { } extractfile = re. search ( r'\ s _ ( \ s + ) ', filename ) baseurl ='' if extractfile : baseurl = extractfile. group ( 1 ) for image in i... | [
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async def get _ account ( self, phone _ iso : str, phone _ number : str, pubkey : str ) - > str : params = {'api _ key': self. api _ key,'phone _ iso': phone _ iso,'phone _ number': phone _ number,'public _ key': pubkey } try : async with clientsession ( ) as session : async with session. get ( self. request _ url, par... | [
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def test _ general _ failures ( self ) : # verifies the return of the creation of a non existent module module = modulesource. create ( " nonexistentmodule " ) self. assertequal ( module, none ) | [
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def find _ transformation _ full ( lines ) : if len ( lines ) = = 0 : return bounds = lines [ 0 ]. chars [ 0 ]. refined _ box for ln in lines : for ch in ln. chars : bounds = [ min ( bounds [ 0 ], ch. refined _ box [ 0 ] ), min ( bounds [ 1 ], ch. refined _ box [ 1 ] ), max ( bounds [ 2 ], ch. refined _ box [ 2 ] ), ma... | [
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def setup _ system ( self, p, q, p _ mask, q _ mask, span ) : # initialize the various variables self. p = p self. q = q self. p _ mask = p _ mask self. q _ mask = q _ mask self. span = span # lookup the embedding for context and question p = tf. nn. embedding _ lookup ( self. embeddings, self. p ) q = tf. nn. embeddin... | [
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def load _ secrets _ from _ dir ( directory ) : for filename in os. listdir ( directory ) : with open ( os. path. join ( directory, filename ) ) as f : # yield the filename on the format " upper _ underscore " instead of " lower - dash " yield filename. replace ('- ','_'). upper ( ), f. read ( ). strip ( ) | [
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def createeventtype ( self, name, schemaid, description = none ) : req = apiclient. alleventtypesurl % ( self. host, " / draft " ) body = { " name " : name, " schemaid " : schemaid } if description : body [ " description " ] = description resp = requests. post ( req, auth = self. credentials, headers = { " content - ty... | [
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def iframe _ decorator ( func : callable ) : # adding these rules here because of weirdness around including # this decorator ( that depends on the iframebasepageobject ) inside # the class, while still making it available to subclasses def func _ wrapper ( self, * args, * * kwargs ) : iframe _ selector = self. get _ i... | [
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def _ start ( self ) : if not self. running : self. running = true self. thread = threading. thread ( target = self. loop ) self. thread. daemon = true self. thread. start ( ) self. reset _ system ( ) | [
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def _ render ( self, mode ='human ', close = false ) : raise notimplementederror | [
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def _ as _ child ( self, process, gnupg _ commands, args ) : # child for std in _ stds : p = process. _ pipes [ std ] os. dup2 ( p. child, getattr ( sys, " _ _ % s _ _ " % std ). fileno ( ) ) for k, p in process. _ pipes. items ( ) : if p. direct and k not in _ stds : # we want the fh to stay open after execing fcntl. ... | [
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def cluster ( clustertype, data, * * kwargs ) : method = methods [ clustertype ] [ 3 ] return method ( data, * * kwargs ) | [
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def get _ feature _ filename ( feature _ extractor _ name, h _ stride, v _ stride, feature _ height, fov ) : return " features _ { } _ h - { } _ v - { } _ height - { } _ fov - { }. sstable @ 100 ". format ( feature _ extractor _ name, h _ stride, v _ stride, feature _ height, fov ) | [
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def get _ tf _ fixed _ config ( self, job _ obj, total _ num _ of _ node = 0 ) : if self. lhs _ pending _ config. get ( job _ obj ) is none : logging. debug ( " total _ num _ of _ node : % d " % total _ num _ of _ node ) init _ conf = pstunerconfiguration ( total _ num _ of _ node - 1, 1, 14, 2, 1, 200, 3, 0. 0001 ) sw... | [
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def test _ atomic _ qname _ min _ length _ 4 _ nistxml _ sv _ iv _ atomic _ qname _ min _ length _ 5 _ 4 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / qname / schema + instance / nistschema - sv - iv - atomic - qname - minlength - 5. xsd ", instance = " nistdata / atomic ... | [
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def set ( self, * * kw ) : if " element " in kw : self. element = kw [ " element " ] nrow = len ( self. element ) self. _ twtable = np. zeros ( ( nrow, len ( self. _ cols ) ),'d') for i, k in enumerate ( self. _ cols ) : self. _ twtable [ :, i ] = kw. get ( k, np. nan ) self. chrom = kw. get ( " chrom ", none ) self. t... | [
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def to _ dict ( self ) : new _ dict = self. _ _ dict _ _. copy ( ) new _ dict ['_ _ class _ _'] = type ( self ). _ _ name _ _ new _ dict ['updated _ at'] = self. updated _ at. isoformat ( ) new _ dict ['created _ at'] = self. created _ at. isoformat ( ) return new _ dict | [
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def get _ ranges _ colormap ( values, range = none, cmap ='gist _ earth ', norm = none, norm _ ref = none, n _ cmap _ levels = none, * * kwargs ) : values _ flat = np. ndarray. flatten ( values ) if range is none : min _ = min ( values _ flat ) max _ = max ( values _ flat ) else : min _ = range [ 0 ] max _ = range [ 1 ... | [
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def draw _ bitmap ( self ) : wx. beginbusycursor ( ) self. compute. progress = self. make _ progress _ reporter ( ) self. compute. while _ waiting = self. draw _ progress self. compute. compute _ pixels ( ) wx. callafter ( self. fire _ event, aptusrecomputedevent ) self. refresh ( ) bitmap = self. bitmap _ from _ compu... | [
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def adjustorigincenter ( frame ) : trans = pya. trans. new ( - frame. center ( ) ) for inst in layout. top _ cell ( ). each _ inst ( ) : layout. top _ cell ( ). transform ( inst, trans ) for li in layout. layer _ indices ( ) : for shape in layout. top _ cell ( ). each _ shape ( li ) : layout. top _ cell ( ). shapes ( l... | [
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def savefactormatrices ( partition ) : ret = [ ] rows = list ( partition ) error = 0. 0 for row in rows : label = row [ 0 ] xi = row [ 1 ] ki = xi. shape [ 0 ] dashidx = label. rindex ('-') dotidx = label. rindex ( '.') labelid = int ( label [ dashidx + 1 : dotidx ] ) # solve for ci ci = np. zeros ( ( ki, r ) ) zitzic ... | [
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def test _ case _ name _ length ( self ) : # get object case _ 1 = case. objects. get ( case _ name ='case _ 1') # get max length max _ length = case _ 1. _ meta. get _ field ('case _ name'). max _ length # compare self. assertequal ( max _ length, 50 ) | [
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def angle _ diff ( a1, a2 ) : angles = a1 - a2 angles [ angles > np. pi ] - = 2 * np. pi angles [ angles < - np. pi ] + = 2 * np. pi return angles | [
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def test _ stats ( self ) : self. ep. search ( " stats / system " ) self. ep. search ( " stats / volumes " ) | [
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def getdata ( datafile ) : data = np. loadtxt ( datafile ) return data | [
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def test _ get _ cve _ filter _ by _ published _ state ( ) : res = requests. get ( f'{ env. awg _ base _ url } { cve _ url } / ', headers = utils. base _ headers, params = {'state':'published'} ) assert res. status _ code = = 200 recordslength = len ( json. loads ( res. content. decode ( ) ) ['cverecords'] ) assert rec... | [
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def testsrun ( self, value ) : pass | [
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def subscription _ update ( instance : subscription, * * kwargs ) - > none : if kwargs [ " created " ] : message = _ ( " your subscription succesfully activated! " " you can check your subscription state in “ my activities ” " " section " ) instance. company. notify _ workers ( message, message. success ) notification ... | [
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def image _ type ( self ) : return'' | [
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def lm _ tfinal ( mass, spin, modes ) : f _ 0, tau = get _ lm _ f0tau _ allmodes ( mass, spin, modes ) t _ max = { } for lmn in modes : l, m, nmodes = int ( lmn [ 0 ] ), int ( lmn [ 1 ] ), int ( lmn [ 2 ] ) for n in range ( nmodes ) : t _ max ['% d % d % d'% ( l, m, n ) ] = qnm _ time _ decay ( tau ['% d % d % d'% ( l,... | [
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... |
def test _ block _ template _ with _ missing _ template ( app ) : with app. app _ context ( ) : with pytest. raises ( templatenotfound ) : blocktemplatedmessage ( " tests / missing. html " ) | [
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0... |
def determine ( self, current = none, maximum = none ) : if not current : current = self. current if not maximum : maximum = self. maximum if current > self. upper _ bound : return current if maximum < self. upper _ bound : return maximum return max ( current, min ( self. upper _ bound, maximum / 2 ) ) | [
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def rargmax ( vector ) : m = np. amax ( vector ) indices = np. nonzero ( vector = = m ) [ 0 ] return pr. choice ( indices ) | [
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def on _ epoch _ end ( self ) : file _ indexes = np. repeat ( np. arange ( 340 ), self. n _ samples ) row _ indexes = np. tile ( np. random. choice ( np. arange ( self. n _ max _ samples ), size = self. n _ samples, replace = false ), len ( self. word _ encoder. classes _ ) ) self. indexes = np. transpose ( np. array (... | [
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def _ _ init _ _ ( self, * args, * * kwargs ) : super ( ). _ _ init _ _ ( * args, * * kwargs ) self. _ return = none | [
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def _ richcmp ( self, other, op ) : # convert other to a rational instance where reasonable. if isinstance ( other, numbers. rational ) : return op ( self. _ numerator * other. denominator, self. _ denominator * other. numerator ) if isinstance ( other, float ) : if math. isnan ( other ) or math. isinf ( other ) : retu... | [
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def is _ time _ around ( expected _ time, loop = none, delta =. 01 ) : now = loop. time ( ) if loop else time. time ( ) return ( expected _ time - delta ) < = now < = ( expected _ time + delta ) | [
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def numpyarrayf32 ( * args, * * kwargs ) : return np. array ( * args, dtype = np. float32, * * kwargs ) | [
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def log _ to _ linear ( log _ xs, log _ ys, dlogy _ dlogxs, base = none ) : if base is none : return dlogx _ dlogys * np. exp ( log _ ys - log _ xs ) else : return dlogx _ dlogys * base * * ( log _ ys - log _ xs ) | [
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def rank ( self, queries ) : doc _ ids _ ordered = [ ] doc _ ids _ ordered _ extra = [ ] x = self. pipe. transform ( queries ) df = pd. dataframe ( x. toarray ( ), columns = self. pipe ['count']. get _ feature _ names ( ) ) query _ df = df. transpose ( ) query _ df. columns = range ( len ( queries ) ) query _ df ['idf'... | [
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def generate _ data ( min _ blobs, max _ blobs ) : output _ size = max _ blobs - min _ blobs + 1 train _ all _ n = np. zeros ( [ output _ size, num _ imgs, img _ height * img _ width ] ) train _ incr _ all _ n = np. zeros ( [ output _ size, num _ imgs, num _ incr, img _ height * img _ width ] ) for i in range ( output ... | [
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def width ( self ) : return self. _ img. num _ cols ( ) | [
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def command _ feature ( self, brain, arg ) : f = open ( os. getcwd ( ) + " / data / features. txt ", " a " ) f. write ( " ". join ( arg ) + " \ n " ) | [
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def test _ atomic _ any _ uri _ enumeration _ 1 _ nistxml _ sv _ iv _ atomic _ any _ uri _ enumeration _ 2 _ 5 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / anyuri / schema + instance / nistschema - sv - iv - atomic - anyuri - enumeration - 2. xsd ", instance = " nistdata... | [
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0.367721259593963... |
def test _ example _ input _ two _ required _ field _ index ( self, ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) : input _ page = inputpage ( ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) input _ page. create _ new _ input. select ( " example input two " ) input _ page. entity2. e... | [
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def merge _ population _ data ( df _ dcmetro, df _ population ) : df _ population _ dcarea = df _ population. loc [ df _ population ['state']. isin ( ['virginia ','district of columbia ','maryland ','west virginia'] ) ] df _ population _ dcarea. rename ( columns = {'geography _ county':'regionname'}, inplace = true ) d... | [
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-0.03017145209014415... |
def get _ accuracy ( n ) : return ( float ( n [ 0 ] [ 0 ] + n [ 1 ] [ 1 ] ) / ( n [ 0 ] [ 0 ] + n [ 1 ] [ 1 ] + n [ 0 ] [ 1 ] + n [ 1 ] [ 0 ] ) ) | [
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def test _ train _ on _ the _ fly ( self ) : input _ seqs _ file = namedtemporaryfile ( prefix ='rdptaxonassignertest _ ', suffix = '. fasta') input _ seqs _ file. write ( test _ seq _ coll. tofasta ( ) ) input _ seqs _ file. seek ( 0 ) exp _ assignments = rdp _ trained _ test1 _ expected _ dict app = rdptaxonassigner ... | [
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def process _ upload ( upload _ id ) : click. echo ( " processing upload " ) logger. info ('getting upload') upload = upload. from _ id ( upload _ id ) logger. info ('updating upload status') upload. update _ upload _ status ('processing') logger. info ('processing upload ( % s ) for user % s with files % s ', upload. ... | [
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0.7858408093452... |
def _ _ wait _ for _ read ( self, raw _ socket : socket. socket, timeout : float ) - > none : self. _ _ logger. debug ( " waiting for socket to be readable " ) ready _ to _ read, _, _ = select ( [ raw _ socket ], [ ], [ ], timeout ) if raw _ socket not in ready _ to _ read : raise ircsocketexception ( " socket operatio... | [
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0.25618067383766174,
-0.598197758197784... |
def get _ full _ name ( self, reverse = false ) : last = self. user. profile. last _ name first = self. user. profile. first _ names if reverse : return ', '. join ( [ last, first ] ) else : return''. join ( [ first, last ] ) | [
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def writeangspread ( self, ctype, fname, ainds ) : if ctype not in self. clsnaps. keys ( ) : raise notimplementederror ( " unknown cluster type in angspread " ) cutoff = self. cldict [ ctype ] if self. comm. get _ rank ( ) = = 0 : fid = open ( fname,'w') clsnaps = self. clsnaps [ ctype ] for clsnap in clsnaps : angspre... | [
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... |
def test _ atomic _ hex _ binary _ enumeration _ 1 _ nistxml _ sv _ iv _ atomic _ hex _ binary _ enumeration _ 2 _ 5 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / atomic / hexbinary / schema + instance / nistschema - sv - iv - atomic - hexbinary - enumeration - 2. xsd ", instance ... | [
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0.25029608607292175,
0.7269997000694275,... |
def parse _ arguments ( ) : parser = argumentparser ( description = " evaluate a model. " ) parser. add _ argument ('- - data ', help = " path to the test data for evaluation. " ) parser. add _ argument ('- - stat ', help = " path to save statistic about the evaluation. " ) parser. add _ argument ('- - weight ', help =... | [
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0.6750122904777... |
def _ apply _ regional _ scalars _ helper ( df : pd. dataframe ) - > pd. dataframe : df [ columns. draws ] = df [ columns. draws ]. mul ( df [ columns. mean ], axis = 0 ) return df | [
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def calc _ ent ( x ) : x _ value _ list = set ( [ x [ i ] for i in range ( x. shape [ 0 ] ) ] ) ent = 0. 0 for x _ value in x _ value _ list : p = float ( x [ x = = x _ value ]. shape [ 0 ] ) / x. shape [ 0 ] logp = np. log2 ( p ) ent - = p * logp return ent | [
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def build _ rte _ model ( rte _ data ) : # load model options print'loading uni - skip model parameters...'with open ('% s. pkl'% path _ to _ umodel,'rb') as f : uoptions = pkl. load ( f ) # load parameters # fix decoder keyerror uoptions ['decoder'] ='gru'uparams = init _ params ( uoptions ) del uparams ['wemb'] upara... | [
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0.23099906742572784,
0.1368271708488... |
def all _ available _ dates ( reference _ stock ='anz') : global date _ cache if reference _ stock in date _ cache : return date _ cache [ reference _ stock ] # use reference _ stock to quickly search the db by limiting the stocks searched dates = quotation. objects. mongo _ distinct ('fetch _ date ', {'asx _ code': re... | [
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... |
def feed ( self ) : return self. _ feed | [
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... |
def spec _ world _ to _ pix ( worldunit, wcs, axisnumber, unit ) : coords = list ( wcs. wcs. crpix ) coords [ axisnumber ] = worldunit. to ( unit ). value coords = list ( np. broadcast ( * coords ) ) return wcs. wcs _ world2pix ( coords, 0 ) [ :, axisnumber ] | [
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0.... |
def encode ( bkd, net, mdl, net _ in, net _ out, name, verbose = 0 ) : # scalar to vector output try : len ( net _ out ) except : net _ out = [ net _ out ] # build a model descriptor desc = util. modeldesc ( net, mdl, name ) # process the network layer by layer for k, layer in enumerate ( net. layers ( ) ) : # add the ... | [
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def save _ to _ dict ( self ) : return self. _ _ dict _ _ | [
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def _ _ init _ _ ( self ) : self. opt _ port = 0 self. opt _ rdns = false self. opt _ verbose = false self. opt _ timeout = default _ timeout | [
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... |
def endloop ( self, setup ) : # print self. cfg _ ana self. mainlogger. info ('' ) self. mainlogger. info ( str ( self ) ) self. mainlogger. info ('' ) | [
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1.42545402050018... |
def test _ bstrap ( self ) : aln = load _ aligned _ seqs ( join ( data _ dir, " brca1. fasta " ), moltype = " dna " ) aln = aln. take _ seqs ( aln. names [ : 3 ] ) aln = aln. omit _ gap _ pos ( allowed _ gap _ frac = 0 ) opt _ args = dict ( max _ evaluations = 20, limit _ action = " ignore " ) m1 = evo _ app. model ( "... | [
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0.1325933039188385,
0.23477528989315033,
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... |
def info ( self ) : return'_ multi _ obj ','multi - object ' | [
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... |
def _ get _ paths ( self ) : if self. during _ training : # get log path test _ log _ path _ = join ( self. cfg. test _ log _ path, self. version ) + self. append _ info test _ log _ path = test _ log _ path _ i _ append _ info = 0 if self. epoch _ train = = 0 : while isdir ( test _ log _ path ) : i _ append _ info + =... | [
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0.3463467061519623,
... |
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