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K=10,T=0.8: <data>ts , rays _ a ) : loss , ws _ inclusive _ scan , wts _ inclusive _ scan = \ <UNK> . distortion _ loss _ fw ( ws , deltas , ts , rays _ a ) ctx . save _ for _ backward ( ws _ inclusive _ scan , wts _ inclusive _ scan , ws , deltas , ts , rays _ a ) return loss @ staticmethod def backward ( ctx , d l _ dloss ) : ( ws _ inclusive _ scan , wts _ inclusive _ scan , ws , </data>db _ <UNK> , <UNK> , <UNK> , <UNK> , <UNK> ) : for i in range ( 0 . 2 ) : if i < i ! = 0 : if i = 0 : if i = 0 : if i < 1 : i + 1 : i + = 2 if i < = = 0 : i - 1 : i + = ( 1 ) if i + 1 : i + 1 i + = 1 : i + = 1 print ( ' error ' , <UNK> ) if idx > 0
K=10,T=0.8: <data>, vip = " % s " , port = % d , sched = " % s " ) ) ' % ( self . proto ( ) , self . vip ( ) , self . port ( ) , self . sched ( ) ) def counters ( self ) : return self . counters _ def af ( self ) : return self . af _ def fwmark ( self ) : return self . fwmark _ def proto ( self ) : return self . proto _ def proto _ num ( self ) : </data>try : if self . device = = ' device ' : return self . device _ num = self . device _ num = self . device _ num _ classes def get _ device _ num ( self , device ) : self . device _ num = device _ num = device _ num self . device _ num = device _ num self . device = self . mode _ num = device _ num self . device _ num = device _ num self . device _ num = device _ num self . device
K=10,T=0.8: <data>[ ' streaming data ' ] [ ' adaptive formats ' ] [ i ] [ ' quality label ' ] is not none : quality _ video _ ids . append ( x [ ' streaming data ' ] [ ' adaptive formats ' ] [ i ] [ ' itag ' ] ) except : pass for i in range ( len ( x [ ' streaming data ' ] [ ' adaptive formats ' ] ) ) : try : if x [ ' streaming data ' ] [ ' adaptive formats ' ] [ i ] </data>[ ' validation data ' ] [ ' validation data ' ] [ i ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] [ ' validation data ' ] = [ ] except : print ( ' validation data is not none
K=10,T=0.8: <data>0 ) ' ) parser . add _ argument ( ' - - glove _ word _ file ' , default = data _ folder + ' original / glove / glove . 8 4 0 b . 3 0 0 d . txt ' , type = str , help = ' path of word embedding file ' ) parser . add _ argument ( ' - - glove _ word _ size ' , default = int ( 2 . 2 e 6 ) , type = int , help = ' corpus size for glove ' ) </data>parser . add _ argument ( ' - - word _ size ' , default = 2 . , type = int , help = ' vocabulary size for glove _ word _ size ' ) parser . add _ argument ( ' - - word _ size ' , default = 2 , type = int , help = ' number of word embedding file ' ) parser . add _ argument ( ' - - word _ size ' , default = 2 5 0 , type = int , help = ' vocabulary size for word embedding
K=10,T=0.8: <data>if _ _ name _ _ = = ' _ _ main _ _ ' : args = parser . parse _ args ( ) main ( args ) import os import sys import shutil import argparse import tempfile import urllib . request import zipfile tasks = [ " co la " , " sst " , " mrpc " , " qqp " , " sts " , " mnli " , " snli " , " qnli " , " rte " , " wnli " , " diagnostic " ] task 2 path = { " co </data>" : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : task 2 path , " qa " : " qa " , " qa " : " qa " , " qa " : " qa " , " qa " : qa " , } task 2 path = task 2
K=10,T=0.8: <data>{ } ' . format ( i , search [ 0 ] ) ) for query _ url in search [ 1 ] . items ( ) : for min p in query _ url [ 1 ] . items ( ) : for max p in min p [ 1 ] . items ( ) : print ( " query url : " , query _ url [ 0 ] , " " , end = ' ' ) if min p [ 0 ] ! = " null " : print ( min p [ 0 ] , </data>" " ) continue query _ url [ 1 ] = query _ url [ 1 ] query _ url [ 1 ] = query _ url [ 1 ] = query _ url [ 1 ] return query _ url def get _ query _ id ( query _ url , query _ url , target _ url , query _ url , query _ url , gallery _ url , query _ url , query _ url , query _ url , query _ url , query _ url , query _ url , query _ url ,
K=10,T=0.8: <data>. . } ) ` ) are a convenient way to specify executable scripts that should be installed along with the python package . these both work as expected when using modern setuptools . when using setuptools - 1 8 . 5 or earlier , however , certain operations will cause ` pkg _ resources . distribution not found ` errors when running the entrypoint script , which must be resolved by re - installing the package . this happens when the install happens with one version , then the egg _ info data is regenerated while a different version </data>of this plugin . this will use this plugin was called to be installed as . this is running if the local plugin . it is running and running the plugin is installed as . this is running when running this plugin is running and running the plugin should be running . this is running if running , which is running and running the plugin is running and running . this is running if running and running and running and running is running if running and running , and running , and running in running , and running and running
K=10,T=0.8: <data>2 , x 2 ) ] box _ area : float . the area of ' box ' boxes _ area : array of length boxes _ count . note : the areas are passed in rather than calculated here for <UNK> . calculate once in the caller to avoid duplicate work . computes io u overlaps between two sets of boxes . boxes 1 , boxes 2 : [ n , ( y 1 , x 1 , y 2 , x 2 ) ] . for better performance , pass the largest set first and the smaller second </data>, and then this program is a copy to a copy . this program is a copy to the <UNK> . args : image : bool . the image width . for this program will be saved to the image width . args : image : bool . the image height . the image width . args : image : int . the image width . this program is the image width . if the image height . args : image : int . the image width . args : image : float . the image width . args :
K=10,T=0.8: <data>( ' data cleaned ' ) if stem : data _ source _ train = stem _ data ( data _ source _ train ) data _ source _ dev = stem _ data ( data _ source _ dev ) data _ target _ train = stem _ data ( data _ target _ train ) data _ target _ dev = stem _ data ( data _ target _ dev ) data _ tune _ train = stem _ data ( data _ tune _ train ) data _ tune _ dev = stem _ data ( data </data>_ target _ dev , data _ tune _ test ) data _ tune _ dev = stem _ data ( data _ tune _ dev ) data _ clinical _ dev = stem _ data ( data _ clinical _ dev , data _ tune _ dev ) data _ tune _ dev = stem _ data ( data _ tune _ dev , data _ tune _ dev , data _ tune _ dev ) data _ tune _ dev = stem _ data ( data _ clinical _ dev , data _ tune _ dev , data