code: 
  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)
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  def   snake_case_       (							_a     :							int = 1_000			):
        return sum(i for i in range(_a			) if i % 3 == 0 or i % 5 == 0			)
  
  
  if __name__ == "__main__":
       print(F"""{solution() = }""")
  
  