<s> '''<STR_LIT>''' <EOL> import cPickle as pkl <EOL> import numpy as np <EOL> import random <EOL> import utils <EOL> from collections import OrderedDict <EOL> from nltk . tokenize import wordpunct_tokenize <EOL> import re <EOL> import parameters as prm <EOL> print '<STR_LIT>' <EOL> vocab = utils . load_vocab ( prm . vocab_path , prm . n_words ) <EOL> textbegin = False <EOL> title = '<STR_LIT>' <EOL> text = '<STR_LIT>' <EOL> n = <NUM_LIT:0> <EOL> f = open ( prm . dump_path , "<STR_LIT:rb>" ) <EOL> print '<STR_LIT>' <EOL> m = <NUM_LIT:0> <EOL> df = { } <EOL> while True : <EOL> line = f . readline ( ) <EOL> if ( line == '<STR_LIT>' ) : <EOL> break <EOL> line = line . lower ( ) <EOL> if ( "<STR_LIT>" in line ) : <EOL> pagebegin = True <EOL> title = "<STR_LIT>" <EOL> sections = [ ] <EOL> if ( "<STR_LIT>" in line ) : <EOL> pagebegin = False <EOL> title = "<STR_LIT>" <EOL> if ( "<STR_LIT>" in line ) and ( "<STR_LIT>" in line ) and pagebegin : <EOL> title = line . replace ( "<STR_LIT>" , "<STR_LIT>" ) . replace ( "<STR_LIT>" , "<STR_LIT>" ) <EOL> if n % <NUM_LIT> == <NUM_LIT:0> : <EOL> print n <EOL> n += <NUM_LIT:1> <EOL> if line . strip ( ) [ : <NUM_LIT:2> ] == "<STR_LIT>" and line . strip ( ) [ - <NUM_LIT:2> : ] == "<STR_LIT>" and line . strip ( ) [ : <NUM_LIT:3> ] != "<STR_LIT>" and line . strip ( ) [ - <NUM_LIT:3> : ] != "<STR_LIT>" : <EOL> sections . append ( { "<STR_LIT:text>" : "<STR_LIT>" } ) <EOL> if textbegin : <EOL> if "<STR_LIT>" != line [ : <NUM_LIT:11> ] : <EOL> line_clean = line . replace ( "<STR_LIT>" , "<STR_LIT>" ) <EOL> text += line_clean <EOL> sections [ - <NUM_LIT:1> ] [ "<STR_LIT:text>" ] += line_clean <EOL> if ( "<STR_LIT>" in line ) and pagebegin : <EOL> textbegin = True <EOL> line_clean = line . replace ( "<STR_LIT>" , "<STR_LIT>" ) <EOL> sections . append ( { "<STR_LIT:text>" : line_clean } ) <EOL> text = line_clean <EOL> if ( "<STR_LIT>" in line ) and pagebegin : <EOL> textbegin = False <EOL> if "<STR_LIT>" != line [ : <NUM_LIT:11> ] : <EOL> text += line . replace ( "<STR_LIT>" , "<STR_LIT>" ) <EOL> m += <NUM_LIT:1> <EOL> words_sections = [ ] <EOL> for j , section in enumerate ( sections ) : <EOL> text = section [ "<STR_LIT:text>" ] <EOL> text = text . replace ( '<STR_LIT:\n>' , '<STR_LIT:U+0020>' ) <EOL> text = re . sub ( r'<STR_LIT>' , '<STR_LIT>' , text ) <EOL> text = re . sub ( r'<STR_LIT>' , '<STR_LIT>' , text ) <EOL> text = re . sub ( r'<STR_LIT>' , '<STR_LIT>' , text ) <EOL> text = re . sub ( r'<STR_LIT>' , '<STR_LIT>' , text ) <EOL> words = wordpunct_tokenize ( text ) <EOL> words_sections += words <EOL> wb = dict . fromkeys ( words_sections , <NUM_LIT:0> ) <EOL> for w in wb . keys ( ) : <EOL> if w in vocab : <EOL> if w not in df : <EOL> df [ w ] = <NUM_LIT:0> <EOL> df [ w ] += <NUM_LIT:1> <EOL> idf = dict . fromkeys ( range ( len ( vocab ) ) , <NUM_LIT:0> ) <EOL> for wi , fr in df . items ( ) : <EOL> idf [ wi ] = np . log ( float ( m ) / ( <NUM_LIT:1.> + float ( fr ) ) ) <EOL> maxidf = np . asarray ( idf . values ( ) ) . max ( ) <EOL> for wi , fr in idf . items ( ) : <EOL> idf [ wi ] = fr / maxidf <EOL> with open ( prm . idf_path , "<STR_LIT:wb>" ) as f : <EOL> pkl . dump ( idf , f ) <EOL> f . close ( ) <EOL> print '<STR_LIT>' </s>
