text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def rospyspin ( ) : rospy. spin ( ) | [
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def _ _ repr _ _ ( self :'linked _ list') - > str : result ='['current = self. head while current : result + = repr ( current. data ) if current. link : result + = ','current = current. link result + =']'return result | [
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def compute _ bundle _ coverage _ scores ( sft, ground _ truth _ mask ) : gt _ data = ground _ truth _ mask. get _ data ( ) candidate _ data = _ create _ binary _ map ( sft, ground _ truth _ mask ) overlap = _ compute _ overlap ( gt _ data, candidate _ data ) overreach = _ compute _ overreach ( gt _ data, candidate _ d... | [
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def get _ rules ( row ) : # global prefbias, suffbias, allprules, allsrules if prefbias > suffbias : lemma = list ( reversed ( row [ 3 ] ) ) form = list ( reversed ( row [ 0 ] ) ) else : lemma = row [ 3 ] form = row [ 0 ] lp, lr, ls, fp, fr, fs = alignprs ( lemma, form ) # get six parts, three for in three for out # su... | [
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def run _ history ( self ) : # do nothing if starttime not given if not self. fetch _ history : return # get list of hsitoric events self. _ _ fetch _ event _ history ( ) # estimate occupancy for history cc = 0 for i, event _ data in enumerate ( self. event _ history ) : cc = hlp. loop _ progress ( cc, i, len ( self. e... | [
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def aoe _ eval ( detpath, annopath, imagesetfile, classname, # cachedir, ovthresh = 0. 5 ) : with open ( imagesetfile,'r') as f : lines = f. readlines ( ) imagenames = [ x. strip ( ) for x in lines ] recs = { } for i, imagename in enumerate ( imagenames ) : recs [ imagename ] = parse _ gt ( annopath. format ( imagename... | [
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def main ( argv = none ) : signal. signal ( signal. sigint, lambda * args : sys. exit ( _ signal _ exit _ code _ base + signal. sigint ) ) if hasattr ( signal, " siginfo " ) : signal. signal ( getattr ( signal, " siginfo " ), lambda * args : report _ progress ( sys. stderr ) ) try : return cli ( argv ) except filenotfo... | [
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def _ split _ dataset _ stratified ( self, label _ dirs, splits ) : num _ splits = len ( splits ) label _ samples = [ glob. glob ( os. path. join ( dir,'*. *') ) for dir in label _ dirs ] num _ samples = sum ( [ len ( samples ) for samples in label _ samples ] ) num _ labels = len ( label _ dirs ) splits _ filenames = ... | [
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def clearpoint ( self, p ) : previous = self. b [ p [ 0 ] ] [ p [ 1 ] ] [ p [ 2 ] ] self. b [ p [ 0 ] ] [ p [ 1 ] ] [ p [ 2 ] ] = 0 if previous! = 0 : self. movelist. remove ( ( p, previous ) ) self. pointslist [ 0 ]. add ( p ) self. pointslist [ previous ]. remove ( p ) self. updatelines ( previous, p ) return previou... | [
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def display ( request ) : title ='treasury'userbalance = usertreasury. get _ balance ( user = request. user ) content = {'title': title,'balance': userbalance } return render ( request,'treasury / treasury. html ', content ) | [
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def hung _ total _ rate ( cls, sum _ data, * * search _ info ) : product _ list = [ 1, 2 ] sum _ measure _ data = dictwrapper ( { } ) sum _ measure _ data. volume _ total = 0 sum _ measure _ data. open _ number _ total = 0 sum _ measure _ data. activation _ number _ total = 0 sum _ measure _ data. conversion _ rate _ t... | [
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def mousepressevent ( self, event ) : if event. button ( ) = = qt. leftbutton : self. _ _ dragstartpos = qpoint ( event. pos ( ) ) super ( tabbar, self ). mousepressevent ( event ) | [
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def _ get _ temporary _ dataset ( self, jobid ) : return self. temporarydatasetfactory. get ( datatype = self. outputdataset. datatype, name = f'{ self. outputdataset. name } _ { jobid : 03 }') | [
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def to _ json ( self ) : del self. nodes [ : ] dump = self. booster. get _ dump ( with _ stats = true, dump _ format ='json') for i, tree in enumerate ( dump ) : self. nodes. append ( [ ] ) self. recursive _ bfs ( json. loads ( tree ) ) for i, n in enumerate ( self. nodes ) : self. nodes [ i ] = " " " { predict : funct... | [
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def create _ prediction ( conn, cur _ inference ) : data _ tuple = ( cur _ inference. pred _ id, cur _ inference. user _ id, cur _ inference. time _ stamp, cur _ inference. prob, cur _ inference. stype ) sql ='''insert into ` fake _ voice ` ( pred _ id, user _ id, time _ stamp, prob, stype ) values ( % s, % s, % s, % s... | [
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def alignment _ builder ( columns, rows, trace _ matrix, align _ matrix, align ='global ', affine _ adjust = false, x _ matrix = none, y _ matrix = none ) : # instantiate alignment lists align _ a = [ ] align _ b = [ ] if align = ='global': i = len ( rows ) - 1 j = len ( columns ) - 1 elif align = ='local': row _ maxs ... | [
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def get _ forest _ properties ( forest : union [ randomforestregressor, randomforestclassifier ], average : bool = true ) : properties = ['max _ depth ','node _ count ','n _ leaves'] counts = np. zeros ( ( forest. n _ estimators, len ( properties ) ), dtype = np. int64 ) for i, tree in enumerate ( forest. estimators _ ... | [
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def clean _ str ( s ) : try : return escape ( s, quote = true ) except attributeerror : # not a string type return escape ( str ( s ), quote = true ) | [
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def _ set _ proba _ intensity ( self, centr _ burned ) : # the brightness values are chosen randomly at every burned centroids # from the brightness values of the historical fire ev _ proba _ uni = centr _ burned. nonzero ( ) [ 0 ] * self. centroids. shape [ 1 ] + \ centr _ burned. nonzero ( ) [ 1 ] proba _ intensity =... | [
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def metrics ( self ) : return self. _ metrics | [
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def load ( self, sensorid, type = " raw " ) : # selecting the correct table typetable = " sensor _ values " ; if ( type = = " min " ) : typetable = " sensor _ values _ minute " elif ( type = = " hour " ) : typetable = " sensor _ values _ hour " elif ( type = = " day " ) : typetable = " sensor _ values _ day " # retriev... | [
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def _ _ init _ _ ( self, id, type, data = none, # pylint : disable = too - many - arguments files = none, user _ defined = none ) : self. raw = { } # note these are all going to raw behind the scenes ( see _ _ setattr _ _ ) self. id = id self. type = type self. data = data if data else { } self. files = files if files ... | [
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def register _ argument _ parser ( add _ parser, action ) : sub _ command = str ( action ) return add _ parser ( sub _ command, help = f'{ sub _ command } token ', description = f'{ sub _ command. capitalize ( ) } a waiter token.'' in addition to the optional arguments'' explicitly listed below,'' you can optionally pr... | [
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def hex _ to _ byte _ array ( hex _ str ) : try : return bytearray ( binascii. unhexlify ( hex _ str ) ) except binascii. error as err : logger. error ( " caught exception while converting hex string to bytearray - % s ", err ) return none except typeerror as err : logger. error ( " caught exception while converting he... | [
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def get _ dex ( self ) : return self. get _ file ( " classes. dex " ) | [
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def get _ leverage ( self ) : a = self. get _ ledger ( ). get _ asset _ valuation ( ) l = self. get _ ledger ( ). get _ liability _ valuation ( ) if a = = 0 : # prevents divide by 0 return 0 return ( a - l ) / a | [
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def find _ complementary _ nodes ( network, inds, asmask = false ) : node _ prefix = get _ node _ prefix ( network ) inds = np. unique ( inds ) n = network [ node _ prefix + '. coords']. shape [ 0 ] mask = np. ones ( shape = n, dtype = bool ) mask [ inds ] = false if asmask : return mask else : return np. arange ( n ) ... | [
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def docs ( self ) : return self. _ docs | [
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def test _ ticketid ( self ) : testresult = { } testresult = dataparser _ map. advancesearch ( " 2 ", " _ id ", " 1a227508 - 9f39 - 427c - 8f57 - 1b72f3fab87c " ) # print ( testresult ) self. assertequal ( testresult [ 0 ] [ " _ id " ], " 1a227508 - 9f39 - 427c - 8f57 - 1b72f3fab87c ", " ticket id not found " ) testres... | [
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def get _ granularity ( self ) : return self. granularity | [
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def compileregexpattern ( self, patterns ) : # assume an empty pattern is a confused user, match everything. if patterns = ='' : patterns ='^ (. * )'try : repattern = re. compile ( patterns ) self. repattern = repattern except re. error : raise | [
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def get _ username3 ( ) : return os. getlogin ( ) | [
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def readzeroquerynumberdata ( input _ stream ) : zero _ query _ dict = defaultdict ( list ) for line in input _ stream : if line. startswith ('#') : continue line = line. rstrip ('\ r \ n') if not line : continue tokens = line. split ('\ t') key = tokens [ 0 ] values = tokens [ 1 ]. split ( ',') for value in values : z... | [
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0.7097684741020203... |
def parse _ message ( line, year = none ) : return re. search ( pattern, line ) | [
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def bank _ debit _ details ( self, bank _ debit _ details ) : self. _ bank _ debit _ details = bank _ debit _ details | [
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def insert ( self, k, v ) : assert false, " not implemented " # todo : use bisect to locate the insertion point ` i ` self. _ index. insert ( i, k ) self. _ value. insert ( i, v ) | [
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def length _ loss ( logits, lengths, eos ) : mask = sequence _ mask ( lengths - 1, lengths. max ( ) ) eos _ labels = ( ( 1 - mask ) * eos ). long ( ). contiguous ( ). view ( - 1 ) _ logits = logits. contiguous ( ). view ( - 1, logits. size ( - 1 ) ) loss = f. cross _ entropy ( _ logits, eos _ labels, ignore _ index = 0... | [
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def trace ( logger, fn ) : def inner ( * args, * * kwargs ) : source = fn _ to _ source ( fn ) logger. trace ('{ } * args = { } * * kwargs = { } '. format ( source, args, kwargs ) ) # for frame in inspect. stack ( ) : # logger. trace ( frame ) # logger. trace ( inspect. getframeinfo ( frame [ 0 ] ) ) # logger. trace ( ... | [
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def on _ txtsearch _ textchanged ( self, text ) : self. filtermodel. setfilterregexp ( text ) | [
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def dataset ( self ) : data = tablib. dataset ( ) data. headers = self. keys ( ) row = _ reduce _ datetimes ( self. values ( ) ) data. append ( row ) return data | [
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def build _ default _ wing _ settings ( degen _ mgr : dg. degengeommgr, default _ template = none ) : # provided default template current template is empty if default _ template is none : with open ( os. path. join ( os. path. dirname ( _ _ file _ _ ), " test ", " prop _ rw. inp " ) ) as f : default _ template = f. rea... | [
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def sub _ commands ( self ) - > list [ str ] : return self. _ filter _ arguments ( sys. argv [ 2 : ] ) | [
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def dump _ params ( self, param _ file ) : par _ out = open ( param _ file,'w') target _ abund = { } bias _ params = { } for gi, prob in self. sel _ targ _ abundances. iteritems ( ) : target _ abund [ gi ] = float ( prob ) for base, biases in self. bias _ model. bias _ params. iteritems ( ) : bias _ params [ base ] = [... | [
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def forward _ pass ( self, x, input _ data _ format = " channels _ last " ) : if self. _ data _ format! = input _ data _ format : if input _ data _ format = = " channels _ last " : # computation requires channels _ first. x = tf. transpose ( x, [ 0, 3, 1, 2 ] ) else : # computation requires channels _ last. x = tf. tra... | [
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def new _ listing ( ) : produce = db. session. query ( produce ). order _ by ( produce. prod _ id. desc ( ) ). first ( ) current _ user = user. query. filter ( user. user _ id = = session ['user _ id'] ). first ( ) return render _ template ('/ new _ listing. html ', prod _ name = produce. prod _ name, prod _ type = pro... | [
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def update _ stacks ( dominoes ) : count = 0 unplayed = [ ] computer = [ ] player = [ ] unplayed _ out = { } player _ out = { } computer _ out = { } for i in dominoes : if not dominoes [ i ] ['assigned'] : unplayed. append ( i ) elif dominoes [ i ] ['assigned'] = ='computer': computer. append ( i ) elif dominoes [ i ] ... | [
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def test _ translation _ rules _ g _ suite _ get ( self ) : pass | [
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def set _ config _ filename ( filename ) : global _ config _ file _ name _ config _ file _ name = filename return filename | [
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def move ( self, position ) : x1, y1 = self. current _ pos x2, y2 = position dx, dy = x2 - x1, y2 - y1 d = dx * dx + dy * dy if d > self. min _ move * * 2 : self. pen _ up ( ) self. send _ command ( rapid _ position, self. format _ coordinates ( self. transform _ coordinates ( position ) ) ) self. pen _ down ( ) self. ... | [
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def check _ agent _ key ( session, hostname, pg _ data, pg _ port, agent _ key ) : row _ key = db. get _ agent _ key ( session, hostname, pg _ data, pg _ port ) if not row _ key : raise exception ( " could not find agent key. " ) if row _ key! = agent _ key : raise exception ( " agent key does not match. " ) | [
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def test _ lines ( self, tmpdir ) : # create a dummy file with one line p = tmpdir. mkdir ( " sub " ). join ( " test. txt " ) p. write ( " content1 " ) # parse the file result = utils. get _ file _ lines ( str ( p. realpath ( ) ) ) assert type ( result ) = = list, " it should return a list " assert result = = [ " conte... | [
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def create _ update _ file _ objects ( remote _ path, fileset = none, prefix _ path ='', location _ base ='' ) : with cd ( remote _ path ) : filepaths = remote _ list _ files ( '.') urls = [ ( f'{ location _ base } / { fpath } ', fpath ) for fpath in filepaths ] file _ objs = [ ] for location, filepath in urls : fname ... | [
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def validate _ transaction _ exception _ message ( expected _ message ) : @ transient _ function _ wrapper ('newrelic. core. stats _ engine ','statsengine. record _ transaction') def _ validate _ transaction _ exception _ message ( wrapped, instance, args, kwargs ) : try : result = wrapped ( * args, * * kwargs ) except... | [
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def draw _ ship ( x, y, w, h ) : draw _ deck ( x, y, w, 0. 2 * h ) draw _ sails ( x + 0. 35 * w, y - 0. 2 * h, 0. 25 * w, 0. 8 * h ) | [
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def update _ clonelists _ metadata ( config : config, gui _ input : userinput | none, no _ exit : bool = false ) - > none : # download the latest internal - config. json and datafile. dtd download _ location : str = config. clone _ list _ metadata _ download _ location if gui _ input : download _ location = config. use... | [
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def inv _ scan ( y ) : d, fi = y p = np. array ( [ d * cos ( fi ), d * sin ( fi ) ] ) j _ y = np. array ( [ [ cos ( fi ), - d * sin ( fi ) ], [ sin ( fi ), d * cos ( fi ) ] ] ) return p, j _ y | [
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def radial _ distribution _ function _ pairs ( coordinates, box _ l, simname, coords _ loc = [ 3, 6 ], nhis = 200, save = false ) : coords _ p = coordinates [ coordinates ['type'] = = 2 ]. iloc [ :, coords _ loc [ 0 ] : coords _ loc [ 1 ] ]. values # convert # to numpy array coords _ n = coordinates [ coordinates ['typ... | [
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def prefix _ list _ ids ( self ) - > optional [ pulumi. input [ sequence [ pulumi. input [ str ] ] ] ] : return pulumi. get ( self, " prefix _ list _ ids " ) | [
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def parseoutputstring ( self, output ) : parser = zapxmlparser ( output ) for site in parser. sites : host = [ ] if site. host! = site. ip : host = [ site. host ] h _ id = self. createandaddhost ( site. ip, hostnames = host ) s _ id = self. createandaddservicetohost ( h _ id, " http ", " tcp ", ports = [ site. port ], ... | [
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def _ _ repr _ _ ( self ) : return " < katdal. { }'{ }'len = { } type = { } at { : # x } > ". format ( self. _ _ class _ _. _ _ name _ _, self. name, len ( self. _ data ), self. _ data ['value']. dtype, id ( self ) ) | [
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def get _ available _ fields ( ) : return all _ fields | [
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def format _ cdna ( self ) : return self. format _ cdna _ coords ( ) + self. format _ dna _ allele ( ) | [
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def _ _ chunk ( self, chunk, axis = none ) : chunk _ shape _ phys = chunk. get _ shape ( phys = true ) overlap _ phys = self. overlap * self. voxel _ size if axis is none : max _ dim = sorted ( enumerate ( chunk _ shape _ phys - self. max _ chunk _ shape * self. voxel _ size ), key = lambda x : x [ 1 ] ) [ 2 ] [ 0 ] el... | [
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def roman ( self ) : number = self. _ arabic roman _ numeral ='' roman _ conversions = [ ('m ', 1000 ), ('cm ', 900 ), ('d ', 500 ), ('cd ', 400 ), ('c ', 100 ), ('xc ', 90 ), ('l ', 50 ), ('xl ', 40 ), ('x ', 10 ), ('ix ', 9 ), ('v ', 5 ), ('iv ', 4 ), ('i ', 1 ) ] for value in roman _ conversions : while number > = v... | [
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def dns _ aaaa ( self, domainname ) : return self. dns ( domainname,'aaaa') | [
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def evaluatexml ( xmlpath, returndfinsteadoflayerid = true, limitreturn = true, frompickle = true, buildpickle = false ) : tree = et. parse ( xmlpath ) root = tree. getroot ( ) resultdir = root. attrib ['resultdir'] studyid = root. attrib ['studyid'] epsg = root. attrib ['epsg'] print ( " % s % s % s " % ( resultdir, s... | [
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... |
def get _ instances _ by _ state ( self, state, maxstate = none ) : | [
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def test _ public _ client _ implicit _ auto _ approval ( self ) : data = {'client _ id': self. client _ public _ no _ consent. client _ id,'response _ type': next ( self. client _ public _ no _ consent. response _ type _ values ( ) ),'redirect _ uri': self. client _ public _ no _ consent. default _ redirect _ uri,'sco... | [
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def glamparams ( cls, model _ dim, ff _ dim, attention _ num _ heads, attention _ key _ value _ dim, name ='transformer ', moe = false, moe _ hidden _ dim = none, ffn _ activation ='gated _ gelu ', mask _ self _ attention = true, cross _ attention = false, attention _ extra _ logit = 0. 0, relative _ attention _ num _ ... | [
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def check _ json ( self, filename ) : # read the json file to be checked json _ data = self. loadfile ( filename ) # check the resulting dict based on top - level nodes - one of the main types above try : the _ validator = self. top _ node _ value _ dict [ json _ data. get ( self. m _ top _ node _ key ) ] the _ validat... | [
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... |
def add ( vec _ 1, vec _ 2 ) : # add two vectors vec _ 3 = [ float ( vec _ 1 [ 0 ] ) + float ( vec _ 2 [ 0 ] ), float ( vec _ 1 [ 1 ] ) + float ( vec _ 2 [ 1 ] ), float ( vec _ 1 [ 2 ] ) + float ( vec _ 2 [ 2 ] ) ] return vec _ 3 | [
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def urlify ( s, true _ length ) : num _ spaces = 0 s = list ( s ) for i in range ( true _ length ) : if s [ i ] = = " " : num _ spaces + = 1 index = true _ length + 2 * num _ spaces for i in range ( true _ length - 1, 0, - 1 ) : if s [ i ] = = " " : s [ index - 1 ] = " 0 " s [ index - 2 ] = " 2 " s [ index - 3 ] = " % ... | [
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def pretrain ( self, sess, dataset, batch _ size = 50, pretraining _ epochs = 10, lr = 0. 01, k = 1, display _ step = 1 ) : train _ x = dataset [ 0 ] train _ y = dataset [ 1 ] print ('starting pretraining... \ n') batch _ num = len ( train _ x ) / batch _ size print ( " batch _ num { 0 } ". format ( batch _ num ) ) # p... | [
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def symbolic _ joint _ probabilities ( symx, symy ) : if len ( symx )! = len ( symy ) : raise valueerror ('all arrays must have same length') symx = np. array ( symx ) symy = np. array ( symy ) # initialize jp = { } n = len ( symx ) for yi, xi in zip ( symy, symx ) : if yi in jp : if xi in jp [ yi ] : jp [ yi ] [ xi ] ... | [
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def genetic ( network, max _ it = 300, population _ size = 30, method ='ranked ', breeding _ coeff = 0. 5, num _ in _ group = 4, p _ mut = 0. 08 ) : # check if method parameter value is valid. if method not in {'ranked ','tournament'} : raise ( valueerror ('unknown method parameter value') ) # initialize list for stori... | [
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def resolveimport ( self, dependantmodulepath, importedmodule ) : if not isinstance ( dependantmodulepath, str ) : raise typeerror ( " path to dependant module must be a string " ) if not importedmodule. isrelative ( ) : raise valueerror ( " imported module'{ }'should be a relative import ". format ( importedmodule. mo... | [
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def add _ vertex ( self, vertex _ id ) : self. vertices [ vertex _ id ] = [ ] | [
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def menu ( ) : print ( " " " 1 - ввести список с клавиатуры через пробел 2 - сгенерировать случаино 3 - выити " " " ) | [
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... |
def version _ number ( self, version _ number ) : self. _ version _ number = version _ number | [
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def store _ transition ( self, s, a, r ) : value = self. get _ v ( s ) self. memory. store ( s, a, r, value ) | [
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def compute ( self, data ) : if self. mean _ trajectories : data _ arr = np. array ( data ) trajs = [ ] for i in range ( np. shape ( data ) [ 0 ] ) : y = data _ arr [ i, : ] r = np. std ( y ) / np. mean ( y ) if not self. improvement : # original burstiness due to goh and barabasi out = ( r - 1 ) / ( r + 1 ) else : # i... | [
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def serialize ( self, root :'node') - > str : def tuplify ( root ) : return root and ( root. val, [ tuplify ( c ) for c in root. children ] ) return json. dumps ( tuplify ( root ) ) | [
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def _ _ str _ _ ( self ) : return self. title | [
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def _ upd _ repo ( self, day, utc, bcols, ecols, check _ clock _ shift = true ) : ow _ cols = repo. col _ idx ( ['lr ','vol ','vbs ','lpx'] ) mid = bcols [ :, - 1 ] lm = np. log ( mid ) lr = np. r _ [ 0, lm [ 1 : ] - lm [ : - 1 ] ] ow _ arr = np. vstack ( ( lr, bcols [ :, : 2 ]. t, mid ) ). t upd _ cols = repo. col _ i... | [
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def get _ soup ( self ) : if self. _ soup is none : self. _ soup = get _ soup ( self. get _ url ( ) ) return self. _ soup | [
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def _ options ( cmd, manager, callback ) : cmd = cmd. split ( ) if len ( cmd ) = = 0 : pass elif cmd [ 0 ] = = " cr " and len ( cmd ) = = 3 and cmd [ 2 ]. isdigit ( ) : callback ( manager. create ( cmd [ 1 ], int ( cmd [ 2 ] ) ) ) elif cmd [ 0 ] = = " de " and len ( cmd [ 0 ] ) = = 2 : callback ( manager. destroy ( cmd... | [
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def all _ students ( self ) : if not self. is _ sorted : self. students. sort ( ) self. is _ sorted = true for s in self. students : yield s | [
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def create _ menu ( ) : menudata = [ ( " & translate abaqus. fil to feresult database ", p. postabq ), ( " & open feresult database ", p. importdb ), ( " & select feresult data ", selectdb ), ( " & forget feresult data ", p. selection. forget ), ( " - - - ", none ), ( " show geometry ", p. showmodel ), ( " select step ... | [
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def _ update _ proxy ( self, change ) : # the superclass handler implementation is sufficient. super ( webview, self ). _ update _ proxy ( change ) | [
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def write ( self, path : str = none ) : if not path : output _ folder = " panels " else : output _ folder = " { } ". format ( path ) if not path ( output _ folder ). is _ dir ( ) : path ( output _ folder ). mkdir ( ) panel _ name = self. name. replace ( " - ", " " ) panel _ name = panel _ name. replace ( " - ", " " ) p... | [
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def min _ cosine ( start, end ) : return min ( np. cos ( start ), np. cos ( end ) ) | [
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def get _ user ( self, username, password ) : existing _ user = user ( * * self. database. get _ user _ document _ by _ id ( user _ id = hashlib. sha256 ( username. encode ('utf - 8') ). hexdigest ( ), username = username ) ) if existing _ user. compare _ passwords ( password = hashlib. sha256 ( password. encode ('utf ... | [
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def _ _ setstate _ _ ( self, state ) : if'diff'in state : diff = state ['diff'] if not isinstance ( diff, attrdict ) : diff = attrdict ( diff ) state ['diff'] = diff for attr, val in diff. items ( ) : if not isinstance ( val, diff ) : diff [ attr ] = diff ( * * val ) self. state = state ['state'] self. diff = state ['d... | [
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async def get _ all _ tasks ( self ) - > mythicresponse : url = " { } { } : { } / api / v { } / tasks / ". 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 with apitoken object... | [
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def get _ row ( self, row : int ) - > int : return sum ( self. pos _ y _ list [ : row + 1 ] ) | [
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def iteratethroughfiles ( self ) : for filename in os. listdir ( self. pathtofiles ) : with open ( '. / { } / { } '. format ( self. pathtofiles, filename ) ) as currentfile : self. tokenizer ( currentfile, filename ) | [
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def push _ image _ to _ ecr ( image = default _ image _ name ) : import boto3 _ logger. info ( " pushing image to ecr " ) client = boto3. client ( " sts " ) caller _ id = client. get _ caller _ identity ( ) account = caller _ id [ " account " ] my _ session = boto3. session. session ( ) region = my _ session. region _ ... | [
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0.8124366998672485,
0... |
def get _ images ( url ) : req = requests. get ( url, allow _ redirects = true, timeout = 20 ) soup = beautifulsoup ( req. text, " lxml " ) url _ parsed = list ( urlparse ( url ) ) for image in soup. findall ( " img " ) : print ( " image : % ( src ) s " % image ) if not image [ " src " ]. lower ( ). startswith ( " http... | [
-0.6509218811988831,
0.586162805557251,
0.7960165739059448,
0.19632135331630707,
0.6194961071014404,
0.02949460782110691,
0.28578007221221924,
0.6784749031066895,
-0.08044742792844772,
0.4709588587284088,
-0.3014591336250305,
-0.09358657896518707,
0.09388970583677292,
1.1778291463851929,
... |
def fetch _ all ( modules : typing. iterable [ object ], ) - > typing. iterable [ typing. tuple [ operationmetadata, typing. callable ] ] : for module in modules : for _, func in inspect. getmembers ( module, predicate = lambda x : inspect. isfunction ( x ) ) : if not hasattr ( func, metadata _ attribute _ name ) : con... | [
-0.6611620187759399,
0.0475609265267849,
0.5482497215270996,
0.3744986057281494,
0.5241122245788574,
-0.17904187738895416,
-0.3148103654384613,
-0.7213217616081238,
-0.11322993040084839,
0.31659579277038574,
0.2368626743555069,
0.1941818743944168,
0.3228214979171753,
0.9125055074691772,
... |
def summary ( self ) : print ( " false negatives : \ t " + str ( self. fns ) ) print ( " false positives : \ t " + str ( self. fps ) ) print ( " true positives : \ t " + str ( self. tps ) ) print ( " sample size : \ t \ t " + str ( self. sample _ size ) ) print ( " sensitivity : \ t \ t " + str ( self. sensitivity ) ) ... | [
0.4281660318374634,
-0.5142301321029663,
0.8134344816207886,
-1.1527966260910034,
0.7209362387657166,
0.6480651497840881,
-0.6711254715919495,
-0.518791913986206,
-0.44524744153022766,
0.1511453092098236,
0.06046011671423912,
1.094264030456543,
0.17197845876216888,
0.42632314562797546,
0... |
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