




import sys

from transformers import AutoTokenizer


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

a_ 		=  0

a_ 		=  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_ 		=  line.rstrip()

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

  a_ 		=  line.split()[0]

  a_ 		=  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_ 		=  current_subwords_len
   continue

  subword_len_counter += current_subwords_len

  print(line)









def      snake_case__							(  lowerCAmelCase_ = 100     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=[[0 for _ in range(lowerCAmelCase_     )] for _ in range(m + 1     )]
     for i in range(m + 1     ):
          SCREAMING_SNAKE_CASE 		=1

     for n in range(m + 1     ):
          for k in range(1,       lowerCAmelCase_     ):
               memo[n][k] += memo[n][k - 1]
               if n > k:
                    memo[n][k] += memo[n - k - 1][k]

     return memo[m][m - 1] - 1


if __name__ == "__main__":
 print(solution(int(input("Enter a number: ").strip())))

