#!/usr/bin/env python3
  
  # Copyright      2017  Babak Rekabdar
  #                2017  Hossein Hadian
  #                2017  Chun Chieh Chang
  #                2017  Ashish Arora
  # Apache 2.0
  
  # This script prepares lexicon for BPE. It gets the set of all words that occur in data/train/text.
  # Since this lexicon is based on BPE, it replaces '|' with silence.
  
  import argparse
  import os
  import unicodedata
  parser = argparse.ArgumentParser(description="""Creates the list of characters and words in lexicon""")
  parser.add_argument('dir', type=str, help='output path')
  args = parser.parse_args()
  
  ### main ###
  lex = {}
  text_path = os.path.join('data', 'train', 'text')
  with open(text_path, 'r', encoding='utf-8') as f:
      for line in f:
          line_vect = line.strip().split(' ')
          for i in range(1, len(line_vect)):
              char_normalized = unicodedata.normalize('NFD', line_vect[i]).replace('
  ', '')
              characters = list(char_normalized)
              characters = " ".join([ 'SIL' if char == '|' else char for char in characters])
              characters = list(characters)
              characters = "".join([ '<HASH>' if char == '#' else char for char in characters])
              lex[line_vect[i]] = characters
  
  with open(os.path.join(args.dir, 'lexicon.txt'), 'w', encoding='utf-8') as fp:
      for key in sorted(lex):
          fp.write(key + " " + lex[key] + "
  ")