runs/!code-decoder-v31-mega-licensed-1/curriculum-noloss/ckpt/generated.txt

K=10,T=0.8: <data>_ only = true <newline> <tab> <tab> ) , <newline> <tab> <tab> " text " : orm . string ( title = " text " , max _ length = 1 0 0 ) , <newline> <tab> <tab> " completed " : orm . boolean ( title = " completed " , default = false ) , <newline> <tab> } <newline> <newline> <newline> admin = dashboard . dashboard ( <newline> <tab> tables = [ <newline> <tab> <tab> dashboard . dashboard table ( <newline> <tab> <tab> <tab> ident = " notes " , <newline> <tab> <tab> <tab> title = " notes </data>" , <newline> <tab> <tab> ) , <newline> <tab> ) <newline> <tab> parser . add ( <newline> <tab> <tab> " - 8 " , <newline> <tab> <tab> <tab> " - 8 " , <newline> <tab> <tab> default = " , <newline> <tab> <tab> <tab> " " , <newline> <tab> <tab> <tab> " - 1 " , <newline> <tab> <tab> <tab> " , <newline> <tab> <tab> <tab> " <UNK> " ) <newline> <tab> parser . add ( " , <newline> <tab> <tab> <tab> " - 8 " ) , <newline> <tab> <tab> " , <newline> <tab> <tab> help = " , 
K=10,T=0.8: <data>output _ alias <newline> <newline> <tab> def get json ( self , path ) : <newline> <tab> <tab> if self . use _ https : <newline> <tab> <tab> <tab> url = f " https : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> else : <newline> <tab> <tab> <tab> url = f " http : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> headers = { " authorization " : " bearer " + self . </data>port } " <newline> <tab> <tab> <tab> self . port . append ( json . dumps ( { ' password ' } ) <newline> <tab> <tab> <tab> if self . port = = = " server " : <newline> <tab> <tab> <tab> <tab> self . port = self . port <newline> <tab> <tab> <tab> self . port = self . port <newline> <tab> <tab> else : <newline> <tab> <tab> <tab> self . port = self . port <newline> <tab> <tab> <tab> self . port = port <newline> <tab> <tab> self . port = port <newline> <tab> <tab> self . port 
K=10,T=0.8: <data>' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' pbr ' , ' pbt ' , ' <UNK> ' , ' <UNK> ' , ' pcar ' , ' pcb ' , ' pcg ' , ' pch ' , ' pci ' , ' pck ' , ' pcm ' , ' pcn ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> </data>' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , false ' <UNK> ' , ' <UNK> ' ) <newline> <tab> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <UNK> = ' <newline> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <UNK> = ' <UNK> ' <newline> <tab> <tab> <tab> <tab> <UNK> = 
K=10,T=0.8: <data><newline> <tab> <tab> ( " <UNK> 2 " , git add ( ) ) , <newline> <tab> <tab> ( " changelog " , update changelog ( ) ) , <newline> <tab> <tab> ( " readme " , update readme ( ) ) , <newline> <tab> <tab> ( " dist " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , push to test py pi ( ) ) , <newline> <tab> <tab> ( " install " , install from test py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , test </data>pi ( ) , <newline> <tab> <tab> ( " <UNK> " , <UNK> , " <UNK> " , update _ version ) , <newline> <tab> <tab> ( " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , <newline> <tab> <tab> ( " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " , " <UNK> " ) , <newline> <tab> <tab> ( " <UNK> " , " <UNK> " , " <UNK> " , 
K=10,T=0.8: <data>_ all _ utterances <newline> <tab> batch _ size = params . batch _ size <newline> <tab> if params . interaction _ level : <newline> <tab> <tab> batch _ size = 1 <newline> <tab> <tab> eval _ fn = evaluate _ interaction _ sample <newline> <tab> <tab> trainbatch _ fn = data . get _ interaction _ batches <newline> <tab> <tab> <UNK> _ fn = data . get _ random _ interactions <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interactions <newline> <newline> <tab> maximum _ output _ length = params . train _ maximum </data>_ output _ length <newline> <tab> with open _ file ( log _ dir , ' w ' ) as f : <newline> <tab> <tab> f . write ( f ) <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> if params . interaction _ level ! = 1 : <newline> <tab> <tab> <tab> logger . error ( f ' number of the { len ( p ) } ' ) <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> 
K=10,T=0.8: <data>_ only = true <newline> <tab> <tab> ) , <newline> <tab> <tab> " text " : orm . string ( title = " text " , max _ length = 1 0 0 ) , <newline> <tab> <tab> " completed " : orm . boolean ( title = " completed " , default = false ) , <newline> <tab> } <newline> <newline> <newline> admin = dashboard . dashboard ( <newline> <tab> tables = [ <newline> <tab> <tab> dashboard . dashboard table ( <newline> <tab> <tab> <tab> ident = " notes " , <newline> <tab> <tab> <tab> title = " notes </data>" , <newline> <tab> <tab> <tab> title = " notes " , <newline> <tab> <tab> <tab> title = " notes " , <newline> <tab> <tab> ) <newline> <tab> ] ) <newline> <newline> admin = dashboard . dashboard table ( <newline> <tab> table = table , <newline> <newline> <tab> table = table , <newline> <tab> table = table , <newline> <tab> table = table , <newline> <tab> table = table , <newline> <tab> table = table , <newline> <tab> table = table , <newline> <tab> table = table , <newline> ) <newline> <newline> @ dataclass <newline> def validate _ table _ 
K=10,T=0.8: <data>output _ alias <newline> <newline> <tab> def get json ( self , path ) : <newline> <tab> <tab> if self . use _ https : <newline> <tab> <tab> <tab> url = f " https : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> else : <newline> <tab> <tab> <tab> url = f " http : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> headers = { " authorization " : " bearer " + self . </data>token } <newline> <tab> <tab> headers = self . headers <newline> <tab> <tab> if self . use _ verify : <newline> <tab> <tab> <tab> return { " headers " : headers , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> <tab> <tab> <tab> " content " : content , <newline> <tab> 
K=10,T=0.8: <data>' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' pbr ' , ' pbt ' , ' <UNK> ' , ' <UNK> ' , ' pcar ' , ' pcb ' , ' pcg ' , ' pch ' , ' pci ' , ' pck ' , ' pcm ' , ' pcn ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> </data>' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> 
K=10,T=0.8: <data><newline> <tab> <tab> ( " <UNK> 2 " , git add ( ) ) , <newline> <tab> <tab> ( " changelog " , update changelog ( ) ) , <newline> <tab> <tab> ( " readme " , update readme ( ) ) , <newline> <tab> <tab> ( " dist " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , push to test py pi ( ) ) , <newline> <tab> <tab> ( " install " , install from test py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , test </data>py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> ) <newline> <newline> <tab> <newline> <tab> <newline> <tab> if not is _ valid _ changelog : <newline> <tab> <tab> print ( " error " , error ) <newline> <newline> <tab> <newline> <tab> if not is _ valid _ changelog : <newline> <tab> <tab> changelog _ md = changelog . md <newline> <tab> <tab> changelog _ md . write ( changelog _ md ) <newline> 
K=10,T=0.8: <data>_ all _ utterances <newline> <tab> batch _ size = params . batch _ size <newline> <tab> if params . interaction _ level : <newline> <tab> <tab> batch _ size = 1 <newline> <tab> <tab> eval _ fn = evaluate _ interaction _ sample <newline> <tab> <tab> trainbatch _ fn = data . get _ interaction _ batches <newline> <tab> <tab> <UNK> _ fn = data . get _ random _ interactions <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interactions <newline> <newline> <tab> maximum _ output _ length = params . train _ maximum </data>_ output _ length <newline> <tab> return max _ output _ length <newline> <newline> def test _ interaction _ sample ( self ) : <newline> <tab> <newline> <tab> assert len ( self . interaction _ level ) > 0 <newline> <tab> assert len ( self . interactions _ level ) < 0 <newline> <tab> assert len ( self . interactions _ level ) > 0 <newline> <tab> assert len ( self . interactions _ level ) < 0 <newline> <tab> assert len ( self . interactions _ level ) < 0 <newline> <newline> def test _ interaction _ sample ( 
K=10,T=0.8: <data>= cv 2 . resize ( marker _ image , ( w , h ) ) <tab> <tab> <newline> <tab> <tab> marker _ images . append ( marker _ image ) <newline> <newline> <tab> total = len ( scene _ images ) * len ( scene _ images [ 0 ] ) <newline> <tab> print ( ' input { } x { } scene images ' . format ( len ( scene _ images ) , len ( scene _ images [ 0 ] ) ) ) <tab> <newline> <tab> print ( ' input { } marker images ' . </data>format ( scene _ images [ 0 ] ) ) <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <tab> <newline> <newline> <newline> <tab> scene _ images = [ " scene . images " , " scene . images " , " scene . images " ] , " scene . images " ] , " scene . images " ] , " scene . images " <newline> <tab> scene _ labels = [ " scene . images " , " scene . images 
K=10,T=0.8: <data>is _ vec ' : best _ is _ vec } ) <newline> <tab> <tab> <tab> print ( " id : % 0 3 d " % id , " qitem : % 0 3 d " % q _ ct , " res <newline> <tab> <tab> <tab> <tab> " current : % d " % ( np . sum ( n is _ vec _ local ) ) , " best : % d " % best _ is _ num , " reduction " ) <newline> <tab> <tab> <tab> return true <newline> <tab> <tab> adj = adj _ </data>matrix . to ( self . device ) <newline> <tab> <tab> return adj , adj <newline> <newline> <tab> def get _ best _ adj ( self , adj ) : <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> if not self . is _ vec _ local : <newline> <tab> <tab> <tab> adj = adj _ matrix . to ( self . device ) <newline> <tab> <tab> <tab> for node in adj : <newline> <tab> <tab> <tab> <tab> if isinstance ( node , tuple ) : <newline> <tab> <tab> <tab> <tab> <tab> adj = adj _ matrix . to 
K=10,T=0.8: <data>scalar ( ' train / reg _ tv _ density ' , loss _ tv . detach ( ) . item ( ) , global _ step = global _ step ) <newline> <tab> <tab> <tab> if tv _ weight _ app > 0 : <newline> <tab> <tab> <tab> <tab> tv _ weight _ app * = lr _ factor <newline> <tab> <tab> <tab> <tab> loss _ tv = tensorf . tv _ loss _ app ( tvreg ) * tv _ weight _ app <newline> <tab> <tab> <tab> <tab> total _ loss = total _ loss + loss _ </data>tv <newline> <tab> <tab> <tab> <tab> tv _ weight _ app = tensorf . tv _ loss _ app ( tv . detach ( ) . item ( ) , global _ step = global _ step ) <newline> <tab> <tab> <tab> <tab> tv _ weight _ app = tensorf . tv _ loss _ app ( tv . detach ( ) . item ( ) , global _ step = global _ step ) <newline> <tab> <tab> <tab> <tab> tv _ weight _ app = tensorf . tv _ loss _ app ( tv . detach ( ) . 
K=10,T=0.8: <data>error when connecting to { } : { } : { } " . format ( <newline> <tab> <tab> <tab> <tab> <tab> connect _ ip , connect _ port , e ) ) <newline> <tab> else : <newline> <tab> <tab> <newline> <tab> <tab> if b ' success ' not in current _ state : <newline> <tab> <tab> <tab> raise system exit ( <newline> <tab> <tab> <tab> <tab> " failure on webshell : { } " . format ( current _ state ) ) <newline> <newline> <tab> print ( " [ * ] server connected to target successfully " ) <newline> </data><newline> <tab> <newline> <tab> try : <newline> <tab> <tab> try : <newline> <tab> <tab> <tab> if current _ state [ " port " ] = = 0 : <newline> <tab> <tab> <tab> <tab> <newline> <tab> <tab> <tab> <tab> port = current _ state [ " port " ] <newline> <tab> <tab> except system exit : <newline> <tab> <tab> <tab> <tab> port = current _ state [ " port " ] <newline> <tab> <tab> <tab> <tab> port = current _ state [ " port " ] <newline> <tab> <tab> <tab> <tab> port = current _ state [ " port " ] 
K=10,T=0.8: <data>math <newline> import multiprocessing as mp <newline> <newline> from tqdm import tqdm <newline> <newline> <newline> def line _ positions ( file _ path ) : <newline> <tab> with open ( file _ path ) as f : <newline> <tab> <tab> while true : <newline> <tab> <tab> <tab> pos = f . tell ( ) <newline> <tab> <tab> <tab> if f . readline ( ) : <newline> <tab> <tab> <tab> <tab> yield pos <newline> <tab> <tab> <tab> else : <newline> <tab> <tab> <tab> <tab> break <newline> <newline> <newline> def get _ number _ of _ lines ( fobj ) : <newline> </data><tab> for line in fobj : <newline> <tab> <tab> for line in fobj . readline ( ) : <newline> <tab> <tab> <tab> if line . lower ( ) in line . lower ( ) : <newline> <tab> <tab> <tab> <tab> line = line . split ( " : " ) <newline> <tab> <tab> <tab> <tab> if line . lower ( ) in line . lower ( ) : <newline> <tab> <tab> <tab> <tab> <tab> line = line . split ( " \ n " ) <newline> <tab> <tab> <tab> <tab> line = line . split ( " \ n " 
K=10,T=0.8: <data>_ only = true <newline> <tab> <tab> ) , <newline> <tab> <tab> " text " : orm . string ( title = " text " , max _ length = 1 0 0 ) , <newline> <tab> <tab> " completed " : orm . boolean ( title = " completed " , default = false ) , <newline> <tab> } <newline> <newline> <newline> admin = dashboard . dashboard ( <newline> <tab> tables = [ <newline> <tab> <tab> dashboard . dashboard table ( <newline> <tab> <tab> <tab> ident = " notes " , <newline> <tab> <tab> <tab> title = " notes </data>" , <newline> <tab> <tab> <tab> body = " " , <newline> <tab> <tab> <tab> description = " " , <newline> <tab> <tab> <tab> description = " " , <newline> <tab> <tab> <tab> text = " " , <newline> <tab> <tab> <tab> body = " " , <newline> <tab> <tab> ) <newline> <tab> ] <newline> ) <newline> <newline> admin . set _ name ( " admin " ) <newline> admin . set _ name ( " admin " ) <newline> admin . set _ name ( " admin " ) <newline> admin . set _ name ( " admin " 
K=10,T=0.8: <data>output _ alias <newline> <newline> <tab> def get json ( self , path ) : <newline> <tab> <tab> if self . use _ https : <newline> <tab> <tab> <tab> url = f " https : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> else : <newline> <tab> <tab> <tab> url = f " http : / / { self . ip } : { self . port } { path } " <newline> <tab> <tab> headers = { " authorization " : " bearer " + self . </data>user } " <newline> <newline> <tab> def get json ( self ) : <newline> <tab> <tab> if self . use _ auth : <newline> <tab> <tab> <tab> url = f " https : / / { self . ip } : { self . user } " <newline> <tab> <tab> <tab> url = f " http : / / { self . ip } : { self . ip } " <newline> <tab> <tab> <tab> url = f " http : / / { self . host } : { self . ip } : { self . port } 
K=10,T=0.8: <data>' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' pbr ' , ' pbt ' , ' <UNK> ' , ' <UNK> ' , ' pcar ' , ' pcb ' , ' pcg ' , ' pch ' , ' pci ' , ' pck ' , ' pcm ' , ' pcn ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> </data>' , ' <UNK> ' , <newline> <tab> ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , ' <UNK> ' , 
K=10,T=0.8: <data><newline> <tab> <tab> ( " <UNK> 2 " , git add ( ) ) , <newline> <tab> <tab> ( " changelog " , update changelog ( ) ) , <newline> <tab> <tab> ( " readme " , update readme ( ) ) , <newline> <tab> <tab> ( " dist " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , push to test py pi ( ) ) , <newline> <tab> <tab> ( " install " , install from test py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , test </data>py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , install from test py pi ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) ) , <newline> <tab> <tab> ( " <UNK> " , make dist ( ) ) , <newline> <tab> <tab> ( " <UNK> 
K=10,T=0.8: <data>_ all _ utterances <newline> <tab> batch _ size = params . batch _ size <newline> <tab> if params . interaction _ level : <newline> <tab> <tab> batch _ size = 1 <newline> <tab> <tab> eval _ fn = evaluate _ interaction _ sample <newline> <tab> <tab> trainbatch _ fn = data . get _ interaction _ batches <newline> <tab> <tab> <UNK> _ fn = data . get _ random _ interactions <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interactions <newline> <newline> <tab> maximum _ output _ length = params . train _ maximum </data>_ output _ length <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interaction _ fn ( ) <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interaction _ fn ( ) <newline> <tab> <tab> max _ output _ length = params . max _ output _ length <newline> <tab> <tab> <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interaction _ fn ( ) <newline> <tab> <tab> <UNK> _ fn = data . get _ all _ interaction _ fn ( ) <newline> <tab> <tab> <UNK> _ 
K=10,T=0.8: <data>= cv 2 . resize ( marker _ image , ( w , h ) ) <tab> <tab> <newline> <tab> <tab> marker _ images . append ( marker _ image ) <newline> <newline> <tab> total = len ( scene _ images ) * len ( scene _ images [ 0 ] ) <newline> <tab> print ( ' input { } x { } scene images ' . format ( len ( scene _ images ) , len ( scene _ images [ 0 ] ) ) ) <tab> <newline> <tab> print ( ' input { } marker images ' . </data>format ( len ( scene _ images [ 0 ] ) ) ) <newline> <tab> print ( ' total number of scenes ' . format ( total ) ) <newline> <newline> <newline> if _ _ name _ _ = = ' _ _ main _ _ ' : <newline> <tab> unittest . main ( ) <newline> <newline> < filesep > <newline> <newline> <newline> <newline> <newline> import re <newline> import numpy as np <newline> import pandas as pd <newline> <newline> import pandas as pd <newline> import pandas as pd <newline> import matplotlib <newline> <newline> import tensorflow . compat . v 1 
K=10,T=0.8: <data>is _ vec ' : best _ is _ vec } ) <newline> <tab> <tab> <tab> print ( " id : % 0 3 d " % id , " qitem : % 0 3 d " % q _ ct , " res <newline> <tab> <tab> <tab> <tab> " current : % d " % ( np . sum ( n is _ vec _ local ) ) , " best : % d " % best _ is _ num , " reduction " ) <newline> <tab> <tab> <tab> return true <newline> <tab> <tab> adj = adj _ </data>mat . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj , adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj = adj . adj ( adj ) <newline> <tab> <tab> adj 
K=10,T=0.8: <data>scalar ( ' train / reg _ tv _ density ' , loss _ tv . detach ( ) . item ( ) , global _ step = global _ step ) <newline> <tab> <tab> <tab> if tv _ weight _ app > 0 : <newline> <tab> <tab> <tab> <tab> tv _ weight _ app * = lr _ factor <newline> <tab> <tab> <tab> <tab> loss _ tv = tensorf . tv _ loss _ app ( tvreg ) * tv _ weight _ app <newline> <tab> <tab> <tab> <tab> total _ loss = total _ loss + loss _ </data>tv <newline> <newline> <tab> <tab> <tab> <tab> tv _ weight _ app / = tv _ weight _ app <newline> <newline> <tab> <tab> <tab> <tab> tv _ loss = tv _ weight _ app / tv _ weight _ app <newline> <tab> <tab> <tab> <tab> tv _ weight _ app / = tv _ weight _ app / tv _ weight _ app <newline> <tab> <tab> <tab> <tab> tv _ weight _ app / = tv _ weight _ app <newline> <tab> <tab> <tab> <tab> tv _ weight _ app / = tv _ weight _ app / tv _ 
K=10,T=0.8: <data>error when connecting to { } : { } : { } " . format ( <newline> <tab> <tab> <tab> <tab> <tab> connect _ ip , connect _ port , e ) ) <newline> <tab> else : <newline> <tab> <tab> <newline> <tab> <tab> if b ' success ' not in current _ state : <newline> <tab> <tab> <tab> raise system exit ( <newline> <tab> <tab> <tab> <tab> " failure on webshell : { } " . format ( current _ state ) ) <newline> <newline> <tab> print ( " [ * ] server connected to target successfully " ) <newline> </data><newline> <tab> if b ' success ' not in current _ state : <newline> <tab> <tab> print ( " [ * ] server connected to target successfully " ) <newline> <newline> <tab> if b ' success ' not in current _ state : <newline> <tab> <tab> print ( " [ * ] server connected to target successfully " ) <newline> <newline> <tab> if b ' success ' not in current _ state : <newline> <tab> <tab> print ( " [ * ] server success to target successfully " ) <newline> <newline> <tab> if b ' success ' not in current 
K=10,T=0.8: <data>math <newline> import multiprocessing as mp <newline> <newline> from tqdm import tqdm <newline> <newline> <newline> def line _ positions ( file _ path ) : <newline> <tab> with open ( file _ path ) as f : <newline> <tab> <tab> while true : <newline> <tab> <tab> <tab> pos = f . tell ( ) <newline> <tab> <tab> <tab> if f . readline ( ) : <newline> <tab> <tab> <tab> <tab> yield pos <newline> <tab> <tab> <tab> else : <newline> <tab> <tab> <tab> <tab> break <newline> <newline> <newline> def get _ number _ of _ lines ( fobj ) : <newline> </data><tab> while true : <newline> <tab> <tab> for line in b . splitlines ( ) : <newline> <tab> <tab> <tab> if line . startswith ( ' \ 0 ' ) : <newline> <tab> <tab> <tab> <tab> line = line . split ( ) - 1 <newline> <tab> <tab> <tab> <tab> for line in line . strip ( ) : <newline> <tab> <tab> <tab> <tab> <tab> if line . startswith ( ' \ 0 ' ) : <newline> <tab> <tab> <tab> <tab> <tab> <tab> yield line [ 2 : ] <newline> <tab> <tab> <tab> <tab> except exception : <newline> <tab> <tab> 
K=10,T=0.8: <data>: <newline> <tab> <tab> 1 . the output of the current node that should be passed to the next node . <newline> <tab> <tab> 2 . a reason object that explains how the output was generated for debugging . <newline> <tab> <tab> <newline> <tab> <tab> <newline> <tab> <tab> add the > > operator , which creates a then node . <newline> <tab> <tab> wrap any strings in a string node first , to allow for code like <newline> <newline> <tab> <tab> <tab> setup node > > " command to run " > > <UNK> node <newline> <tab> <tab> <newline> <tab> </data><tab> add the > > node , which create a node first , to allow for code like <newline> <tab> <tab> <tab> <newline> <tab> <tab> add the > > > operator <newline> <tab> <tab> <newline> <tab> <tab> add the <tab> > > > node , which create a node first , to allow for code like <newline> <tab> <tab> <tab> <newline> <tab> <tab> add the > > node , which create a node first , to allow for code like <newline> <tab> <tab> <tab> <newline> <tab> <tab> add the > > > node , which create a node first , 
K=10,T=0.8: <data>, layer 2 ) : <newline> <tab> <tab> super ( concat table , self ) . _ _ init _ _ ( ) <newline> <tab> <tab> self . layer 1 = layer 1 <newline> <tab> <tab> self . layer 2 = layer 2 <newline> <tab> <tab> <newline> <tab> def forward ( self , x ) : <newline> <tab> <tab> y = [ self . layer 1 ( x ) , self . layer 2 ( x ) ] <newline> <tab> <tab> return y <newline> <newline> class flatten ( nn . module ) : <newline> <tab> def _ _ init _ </data>_ ( self , dim ) : <newline> <tab> <tab> super ( flatten , self ) . _ _ init _ _ ( ) <newline> <tab> <tab> self . dim = dim <newline> <tab> <tab> self . dim = dim <newline> <tab> <tab> self . layer 3 = dim <newline> <tab> <tab> self . layer 3 = dim <newline> <tab> <tab> self . layer 3 = dim <newline> <tab> <tab> self . layer 4 = layers . nn . layer 4 ( dim ) <newline> <tab> <tab> self . layer 4 = layers . nn . layer 4 ( dim 
K=10,T=0.8: <data><tab> <tab> <tab> metadata [ " chunk _ size " ] , <newline> <tab> <tab> <tab> metadata [ " chunk _ overlap " ] , <newline> <tab> <tab> <tab> metadata [ " max _ chunk _ num " ] , <newline> <tab> <tab> ) <newline> <tab> <tab> <newline> <tab> <tab> df _ merged = pd . merge ( df _ docs , df _ remove , on = [ " md 5 " , " file _ path " ] , how = " inner " ) <newline> <tab> <tab> remove _ ids = np . array ( df _ </data>merged ) <newline> <tab> <tab> remove _ ids = np . array ( remove _ ids ) <newline> <tab> <tab> add _ ids = np . array ( remove _ ids ) <newline> <newline> <tab> <tab> <newline> <tab> <tab> if self . config . use _ cuda : <newline> <tab> <tab> <tab> <newline> <tab> <tab> <tab> <newline> <tab> <tab> <tab> if self . config . use _ cuda : <newline> <tab> <tab> <tab> <tab> self . device = self . device <newline> <tab> <tab> <tab> elif self . config . use _ cuda : <newline> <tab> <tab> <tab> <tab> self 
K=10,T=0.8: <data>x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ xf 7 \ x 9 e \ xf 7 \ x 9 </data>2 \ x 0 0 \ x 0 0 \ xf 7 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 \ x 0 0 
K=10,T=0.8: <data><tab> console . set level ( logging . error ) <newline> <tab> <tab> formatter = logging . formatter ( ' [ % ( levelname ) s ] % ( message ) s ' ) <newline> <tab> <tab> console . set formatter ( formatter ) <newline> <tab> <tab> logging . get logger ( ' ' ) . add handler ( console ) <newline> <newline> <tab> <tab> self . waves = asset ( ' ' ) <newline> <tab> <tab> self . btc = asset ( ' 8 <UNK> 8 f 7 p 5 d 5 <UNK> 7 gt <UNK> <UNK> s 3 </data><UNK> 7 <UNK> <UNK> 9 2 <UNK> 3 5 <UNK> 0 3 9 5 <UNK> <UNK> 9 4 <UNK> 7 <UNK> <UNK> <UNK> <UNK> 9 <UNK> 2 <UNK> <UNK> <UNK> 1 6 <UNK> 7 7 4 9 5 6 3 <UNK> <UNK> 9 5 2 <UNK> <UNK> 3 6 <UNK> 9 6 6 5 <UNK> 9 6 <UNK> 2 <UNK> <UNK> 7 <UNK> <UNK> 3 3 6 <UNK> 1 5 9 6 0 <UNK> <UNK> 3 4 <UNK> 2 <UNK> 3 <UNK> 5 9 <UNK> 5 2 1 5 9 <UNK> <UNK> 3 <UNK> 2 <UNK> 2 <UNK> 4 <UNK>