






"""simple docstring"""



import sys

from transformers import AutoTokenizer


a  :						List[str]					       =							sys.argv[1]
a  :						int					       =							sys.argv[2]
a  :						int					       =							int(sys.argv[3])

a  :						int					       =							0

a  :						str					       =							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  :						List[str]					       =							line.rstrip()

  if not line:
   print(line)
   a  :						Tuple					       =							0
   continue

  a  :						Optional[int]					       =							line.split()[0]

  a  :						Any					       =							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  :						str					       =							current_subwords_len
   continue

  subword_len_counter += current_subwords_len

  print(line)








"""simple docstring"""







def 							UpperCamelCase_       (       lowerCAmelCase__ :							int = 400_0000		)		->  int:

  """simple docstring"""




  if n <= 1:
    return 0
  lowerCAmelCase_  :							Union[str, Any]								=					0
  lowerCAmelCase_  :							Tuple								=					2
  lowerCAmelCase_  :							List[Any]								=					0
  while 4 * b + a <= n:
    lowerCAmelCase_		,lowerCAmelCase_  :							str								=					b, 4 * b + a
    count += a
  return count + b


if __name__ == "__main__":
     print(f'{solution() = }')





