text: import fasttext
  import argparse
  
  from noisemix import noise, formats
  from noisemix import utils
  
  NOISEMIX_SUFFIX = '.nmx'
  
  
  def mix(dataset, versions=1, format=None):
      """Generates a noisy version of a dataset"""
  
      if format:
          format = eval('formats.' + args.format)  # string to cls
          format = format()  # cls to instance
      utils.rand_init()
      for line in dataset:
          # print(line)
  
          if format:
              line, data = format.before(line)
  
          for i in range(0, versions):
              line = mix_sentence(line);
              if format:
                  line = format.after(line, data)
              yield line
  
  
  def mix_sentence(sentence):
      words = []
      for word in sentence.split(' '):
          words.append(noise.randnoise(word))
      # noisemix.append_noise(words)
      sentence = (' ').join(words)
      return noise.sentence_noise(sentence)
  
  
  def _read(path):
      with open(path, 'r', encoding='utf-8') as f:
          for line in f:
              yield line
  
  
  def _write(dataset, path):
      with open(path, 'w', encoding='utf-8') as f:
          for line in dataset:
              f.write(line)
  
  
  def _print(dataset, max_lines=None):
      line_count = 0
      for line in dataset:
          print(line)
          line_count += 1
          if line_count == max_lines:
              return
  
  
  if __name__ == '__main__':
  
  
      parser = argparse.ArgumentParser(description='Generate a noisy version of dataset')
      parser.add_argument('path', metavar='path', type=str,
                          help='the paths to the input data file')
      parser.add_argument('-format', type=str, choices=[None, 'fastText'],
                          help='the format of the input data file', required=True)
      parser.add_argument('-versions', type=int, default=1,
                          help='how many versions to generate per line')
      parser.add_argument('--print', type=int, nargs='?', const=max,
                          help='print the output instead of writing to file, optional value for max lines')
      # parser.add_argument('-sentencePerturbations', nargs='?' ,action='append', default=['all'],
      #                     choices=['all', 'none','remove_space', 'flip_words'] )
      # parser.add_argument('-wordPerturbations', nargs='?' , action='append', default=['all'],
      #                     choices=['all', 'none', 'add_letter', 'repeat_letter', 'remove_letter',
      #                              'lowercase','remove_punct','word_swap','char_swap',
      #                              'flip_letters','typo_qwerty'] )
      # parser.add_argument('-perturbationFreqRepeat', nargs='?', action='append', default=[{'all', 1, 0.3}])
      # parser.add_argument('-language', type=str, default='eng', choices=['eng'])
      # parser.add_argument('-keyboardLayout', nargs='?', type=str, default='qwerty', choices=[ 'qwerty'])
      args = parser.parse_args()
  
      dataset = _read(args.path)
  
      classifier = fasttext.supervised(args.path , 'model')
      result = classifier.test('/Users/anooshik/Projects/CODE/Pycharm/NoiseMix/benchmarks/LangDetection/valid.txt')
      print('Init Precision:', result.precision)
      print('Init Recall:', result.recall)
      print('Init Number of examples:', result.nexamples)
      mixed_dataset = mix(dataset, versions=args.versions, format=format)
      if args.print:
          _print(mixed_dataset, args.print)
      else:
          _write(mixed_dataset, args.path + NOISEMIX_SUFFIX)
          classifier = fasttext.supervised(args.path + NOISEMIX_SUFFIX, 'model')
          result = classifier.test('/Users/anooshik/Projects/CODE/Pycharm/NoiseMix/benchmarks/LangDetection/valid.txt')
          print('Precision:', result.precision)
          print('Recall:', result.recall)
          print('Number of examples:', result.nexamples)
  