text: import os
  import re
  import logging
  import functools
  import multiprocessing as mp
  try:
      import pynini
      from pynini import Fst, TokenType
      from pynini.lib import rewrite
      G2P_DISABLED = False
  except ImportError:
      pynini = None
      TokenType = None
      Fst = None
      rewrite = None
      G2P_DISABLED = True
  
  import tqdm
  import queue
  import traceback
  import sys
  import time
  
  from ..config import TEMP_DIR
  from ..exceptions import G2PError
  from ..multiprocessing import Stopped, Counter
  
  
  class Rewriter:
      """Helper object for rewriting."""
  
      def __init__(
          self,
          fst: Fst,
          input_token_type: TokenType,
          output_token_type: TokenType,
      ):
          self.rewrite = functools.partial(
              rewrite.top_rewrite,
              rule=fst,
              input_token_type=input_token_type,
              output_token_type=output_token_type)
  
      def __call__(self, i: str) -> str:
          try:
              return self.rewrite(i)
          except rewrite.Error:
              return "<composition failure>"
  
  def parse_errors(error_output):
      missing_symbols = []
      line_regex = re.compile("Symbol: '(.+?)' not found in input symbols table")
      for line in error_output.splitlines():
          m = line_regex.match(line)
          if m is not None:
              missing_symbols.append(m.groups()[0])
      return missing_symbols
  
  
  def parse_output(output):
      for line in output.splitlines():
          line = line.strip().split("\t")
          if len(line) == 2:
              line += [None]
          yield line[0], line[2]
  
  
  class RewriterWorker(mp.Process):
      def __init__(self, job_q, return_dict, rewriter, counter, stopped):
          mp.Process.__init__(self)
          self.job_q = job_q
          self.return_dict = return_dict
          self.rewriter = rewriter
          self.counter = counter
          self.stopped = stopped
  
      def run(self):
          while True:
              try:
                  word = self.job_q.get(timeout=1)
              except queue.Empty:
                  break
              self.job_q.task_done()
              if self.stopped.stop_check():
                  continue
              try:
                  rep = self.rewriter.rewrite(word)
                  if rep != '<composition failure>':
                      self.return_dict[word] = rep
              except Exception as e:
                  self.stopped.stop()
                  self.return_dict['MFA_EXCEPTION'] = word, Exception(traceback.format_exception(*sys.exc_info()))
              self.counter.increment()
          return
  
  
  def clean_up_word(word, graphemes):
      new_word = []
      missing_graphemes = []
      for c in word:
          if c not in graphemes:
              missing_graphemes.append(c)
          else:
              new_word.append(c)
      return ''.join(new_word), missing_graphemes
  
  
  class PyniniDictionaryGenerator(object):
      def __init__(self, g2p_model, word_set, temp_directory=None, num_jobs=3):
          super(PyniniDictionaryGenerator, self).__init__()
          if not temp_directory:
              temp_directory = TEMP_DIR
          temp_directory = os.path.join(temp_directory, 'G2P')
          self.model = g2p_model
  
          self.temp_directory = os.path.join(temp_directory, self.model.name)
          log_dir = os.path.join(self.temp_directory, 'logging')
          os.makedirs(log_dir, exist_ok=True)
          self.log_file = os.path.join(log_dir, 'g2p.log')
          self.logger = logging.getLogger('g2p')
          self.logger.setLevel(logging.INFO)
          handler = logging.FileHandler(self.log_file, 'w', 'utf-8')
          handler.setFormatter = logging.Formatter('%(name)s %(message)s')
          self.logger.addHandler(handler)
          self.words = word_set
          self.num_jobs = num_jobs
  
      def generate(self):
          if self.model.meta['architecture'] == 'phonetisaurus':
              raise G2PError('Previously trained Phonetisaurus models from 1.1 and earlier are not currently supported. '
                             'Please retrain your model using 2.0+')
  
          input_token_type = 'utf8'
          fst = pynini.Fst.read(self.model.fst_path)
  
          output_token_type = 'utf8'
          if self.model.sym_path is not None and os.path.exists(self.model.sym_path):
              output_token_type = pynini.SymbolTable.read_text(self.model.sym_path)
          rewriter = Rewriter(fst, input_token_type, output_token_type)
  
          stopped = Stopped()
          job_queue = mp.JoinableQueue(100)
          ind = 0
          num_words = len(self.words)
          words = self.words
          begin = time.time()
          last_value = 0
          missing_graphemes = set()
          print('Generating pronunciations...')
          to_return = {}
          if num_words < 30:
              for word in words:
                  w, m = clean_up_word(word, self.model.meta['graphemes'])
                  missing_graphemes.update(m)
                  if not w:
                      continue
                  pron = rewriter.rewrite(w)
                  if pron == '<composition failure>':
                      continue
                  to_return[word] = pron
          else:
              with tqdm.tqdm(total=num_words) as pbar:
                  while True:
                      if ind == num_words:
                          break
                      try:
                          w, m = clean_up_word(words[ind], self.model.meta['graphemes'])
                          missing_graphemes.update(m)
                          if not w:
                              ind += 1
                              continue
                          job_queue.put(w, False)
                      except queue.Full:
                          break
                      ind += 1
                  manager = mp.Manager()
                  return_dict = manager.dict()
                  procs = []
                  counter = Counter()
                  for i in range(self.num_jobs):
                      p = RewriterWorker(job_queue, return_dict, rewriter, counter, stopped)
                      procs.append(p)
                      p.start()
                  while True:
                      if ind == num_words:
                          break
                      w, m = clean_up_word(words[ind], self.model.meta['graphemes'])
                      missing_graphemes.update(m)
                      if not w:
                          ind += 1
                          continue
                      job_queue.put(w)
                      value = counter.value()
                      pbar.update(value-last_value)
                      last_value = value
                      ind += 1
                  job_queue.join()
              for p in procs:
                  p.join()
              if 'MFA_EXCEPTION' in return_dict:
                  element, exc = return_dict['MFA_EXCEPTION']
                  print(element)
                  raise exc
              for w in self.words:
                  if w in return_dict:
                      to_return[w] = return_dict[w]
          print('Processed {} in {} seconds'.format(num_words, time.time()-begin))
          self.logger.debug('Processed {} in {} seconds'.format(num_words, time.time()-begin))
          return to_return
  
      def output(self, outfile):
          results = self.generate()
          with open(outfile, "w", encoding='utf8') as f:
              for (word, pronunciation) in results.items():
                  if not pronunciation:
                      continue
                  f.write('{}\t{}\n'.format(word, pronunciation))
  