


'''simple docstring'''







import sys

from transformers import AutoTokenizer


a__  : Optional[int]				=	sys.argv[1]
a__  : Dict				=	sys.argv[2]
a__  : str				=	int(sys.argv[3])

a__  : Dict				=	0

a__  : int				=	AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, 'rt') as f_p:
  for line in f_p:
    a__  : Optional[Any]				=	line.rstrip()

    if not line:
      print(line)
      a__  : List[str]				=	0
      continue

    a__  : Any				=	line.split()[0]

    a__  : str				=	len(tokenizer.tokenize(token))

    # Token contains strange control characters like \x96 or \x95
    # Just filter out the complete line
    if current_subwords_len == 0:
      continue

    if (subword_len_counter + current_subwords_len) > max_len:
      print('')
      print(line)
      a__  : List[str]				=	current_subwords_len
      continue

    subword_len_counter += current_subwords_len

    print(line)







'''simple docstring'''







def _UpperCamelCase	(					__A   )							->		int:


      '''simple docstring'''



      if number != int(__A   ):
            raise ValueError("factorial() only accepts integral values"   )
      if number < 0:
            raise ValueError("factorial() not defined for negative values"   )
      UpperCamelCase__  =    1
      for i in range(1				,      number + 1   ):
            value *= i
      return value







def _UpperCamelCase	(					__A   )							->		int:


      '''simple docstring'''



      if not isinstance(__A				,      __A   ):
            raise ValueError("factorial() only accepts integral values"   )
      if n < 0:
            raise ValueError("factorial() not defined for negative values"   )
      return 1 if n == 0 or n == 1 else n * factorial(n - 1   )


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  a__  : str				=	int(input('Enter a positive integer: ').strip() or 0)
  print(F"""factorial{n} is {factorial(n)}""")





