<s> import competition_utilities as cu <EOL> import csv <EOL> import datetime <EOL> import features <EOL> import numpy as np <EOL> import pandas as pd <EOL> import re <EOL> def camel_to_underscores ( name ) : <EOL> s1 = re . sub ( '<STR_LIT>' , r'<STR_LIT>' , name ) <EOL> return re . sub ( '<STR_LIT>' , r'<STR_LIT>' , s1 ) . lower ( ) <EOL> def body_length ( data ) : <EOL> return data [ "<STR_LIT>" ] . apply ( len ) <EOL> def num_tags ( data ) : <EOL> return pd . DataFrame . from_dict ( { "<STR_LIT>" : [ sum ( map ( lambda x : <EOL> pd . isnull ( x ) , row ) ) for row in ( data [ [ "<STR_LIT>" % d <EOL> for d in range ( <NUM_LIT:1> , <NUM_LIT:6> ) ] ] . values ) ] } ) [ "<STR_LIT>" ] <EOL> def title_length ( data ) : <EOL> return data [ "<STR_LIT>" ] . apply ( len ) <EOL> def user_age ( data ) : <EOL> return pd . DataFrame . from_dict ( { "<STR_LIT>" : ( data [ "<STR_LIT>" ] <EOL> - data [ "<STR_LIT>" ] ) . apply ( lambda x : x . total_seconds ( ) ) } ) <EOL> def extract_features ( feature_names , data ) : <EOL> fea = pd . DataFrame ( index = data . index ) <EOL> for name in feature_names : <EOL> if name in data : <EOL> fea = fea . join ( data [ name ] ) <EOL> else : <EOL> fea = fea . join ( getattr ( features , <EOL> camel_to_underscores ( name ) ) ( data ) ) <EOL> return fea <EOL> if __name__ == "<STR_LIT:__main__>" : <EOL> feature_names = [ "<STR_LIT>" <EOL> , "<STR_LIT>" <EOL> , "<STR_LIT>" <EOL> , "<STR_LIT>" <EOL> , "<STR_LIT>" <EOL> , "<STR_LIT>" <EOL> ] <EOL> data = cu . get_dataframe ( "<STR_LIT>" ) <EOL> features = extract_features ( feature_names , data ) <EOL> print ( features ) </s>
