<s> """<STR_LIT>""" <EOL> import os <EOL> from pylearn2 . testing . skip import skip_if_no_data <EOL> from pylearn2 . config import yaml_parse <EOL> from theano import config <EOL> def test ( ) : <EOL> skip_if_no_data ( ) <EOL> dirname = os . path . join ( os . path . abspath ( os . path . dirname ( __file__ ) ) , '<STR_LIT:..>' ) <EOL> with open ( os . path . join ( dirname , '<STR_LIT>' ) , '<STR_LIT:r>' ) as f : <EOL> dataset = f . read ( ) <EOL> if config . mode == "<STR_LIT>" : <EOL> hyper_params = { '<STR_LIT>' : <NUM_LIT:10> } <EOL> else : <EOL> hyper_params = { '<STR_LIT>' : <NUM_LIT:50> } <EOL> dataset = dataset % ( hyper_params ) <EOL> with open ( os . path . join ( dirname , '<STR_LIT>' ) , '<STR_LIT:r>' ) as f : <EOL> model = f . read ( ) <EOL> with open ( os . path . join ( dirname , '<STR_LIT>' ) , '<STR_LIT:r>' ) as f : <EOL> algorithm = f . read ( ) <EOL> if config . mode == "<STR_LIT>" : <EOL> hyper_params = { '<STR_LIT>' : <NUM_LIT:10> , <EOL> '<STR_LIT>' : <NUM_LIT> } <EOL> else : <EOL> hyper_params = { '<STR_LIT>' : <NUM_LIT:10> , <EOL> '<STR_LIT>' : <NUM_LIT> } <EOL> algorithm = algorithm % ( hyper_params ) <EOL> with open ( os . path . join ( dirname , '<STR_LIT>' ) , '<STR_LIT:r>' ) as f : <EOL> train = f . read ( ) <EOL> save_path = os . path . dirname ( os . path . realpath ( __file__ ) ) <EOL> train = train % locals ( ) <EOL> train = yaml_parse . load ( train ) <EOL> train . main_loop ( ) <EOL> try : <EOL> os . remove ( "<STR_LIT>" . format ( save_path ) ) <EOL> os . remove ( "<STR_LIT>" . format ( save_path ) ) <EOL> except OSError : <EOL> pass <EOL> if __name__ == '<STR_LIT:__main__>' : <EOL> test ( ) </s>
