




'''simple docstring'''
import sys

from transformers import AutoTokenizer


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

_SCREAMING_SNAKE_CASE =	0

_SCREAMING_SNAKE_CASE =	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:
              _SCREAMING_SNAKE_CASE =	line.rstrip()

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

              _SCREAMING_SNAKE_CASE =	line.split()[0]

              _SCREAMING_SNAKE_CASE =	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)
                     _SCREAMING_SNAKE_CASE =	current_subwords_len
                     continue

              subword_len_counter += current_subwords_len

              print(line)










'''simple docstring'''
def  lowerCamelCase(       SCREAMING_SNAKE_CASE_    )		->		list:
			A_       		=   [True for i in range(n + 1    )]
			A_       		=   [i - 1 for i in range(n + 1    )]
			A_       		=   []
			for i in range(2					,n + 1    ):
						if is_prime[i]:
									primes.append(SCREAMING_SNAKE_CASE_    )
						for j in range(0					,len(SCREAMING_SNAKE_CASE_    )    ):
									if i * primes[j] >= n:
												break
									A_       		=   False

									if i % primes[j] == 0:
												A_       		=   totients[i] * primes[j]
												break

									A_       		=   totients[i] * (primes[j] - 1)

			return totients


if __name__ == "__main__":
							import doctest

							doctest.testmod()




