import sys

from transformers import AutoTokenizer


UpperCAmelCase      		=					sys.argv[1]
UpperCAmelCase      		=					sys.argv[2]
UpperCAmelCase      		=					int(sys.argv[3])

UpperCAmelCase      		=					0

UpperCAmelCase      		=					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:
  UpperCAmelCase      		=					line.rstrip()

  if not line:
   print(line)
   UpperCAmelCase      		=					0
   continue

  UpperCAmelCase      		=					line.split()[0]

  UpperCAmelCase      		=					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)
   UpperCAmelCase      		=					current_subwords_len
   continue

  subword_len_counter += current_subwords_len

  print(line)








from collections.abc import Callable

__SCREAMING_SNAKE_CASE     =	Callable[[float], float]  # type alias for a real -> real function




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     ):
			A				:       int														=    float(_lowerCamelCase     )
			while True:
						try:
									A				:       Optional[int]														=    prev_guess - function(_lowerCamelCase     ) / derivative(_lowerCamelCase     )
						except ZeroDivisionError:
									raise ZeroDivisionError("Could not find root"     ) from None
						if abs(prev_guess - next_guess     ) < 10**-5:
									return next_guess
						A				:       Any														=    next_guess




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return (x**3) - (2 * x) - 5




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return 3 * (x**2) - 2


if __name__ == "__main__":
							print(newton(f, fa, 3))