






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
    from transformers import AutoModelForSeqaSeqLM, AutoTokenizer

@require_torch
@require_sentencepiece
@require_tokenizers
class 		SCREAMING_SNAKE_CASE__    (	unittest.TestCase  ):


      @slow
      def        a			(self	:				Optional[int]				):





         """simple docstring"""



         __snake_case								=       AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''    ,      return_dict=__UpperCAmelCase				).to(__UpperCAmelCase				)
         __snake_case								=       AutoTokenizer.from_pretrained('''google/mt5-small'''				)

         __snake_case								=       tokenizer('''Hello there'''    ,      return_tensors='''pt'''				).input_ids
         __snake_case								=       tokenizer('''Hi I am'''    ,      return_tensors='''pt'''				).input_ids

         __snake_case								=       model(input_ids.to(__UpperCAmelCase				)    ,      labels=labels.to(__UpperCAmelCase				)				).loss
         __snake_case								=       -(labels.shape[-1] * loss.item())

         __snake_case								=       -8_4.9_1_2_7
         self.assertTrue(abs(mtf_score - EXPECTED_SCORE				) < 1E-4				)








from __future__ import annotations

snake_case_           =      [True] * 1000001
snake_case_           =      2
while i * i <= 1000000:
    if seive[i]:
        for j in range(i * i, 1000001, i):
            snake_case_           =      False
    i += 1






def lowerCamelCase__   (							snake_case_     :  int	)				->    bool:
   return seive[n]






def lowerCamelCase__   (							snake_case_     :  int	)				->    bool:
   return any(digit in '''02468''' for digit in str(snake_case_	)	)






def lowerCamelCase__   (							snake_case_     :  int = 100_0000	)				->    list[int]:
   __snake_case								=       [2]  # result already includes the number 2.
   for num in range(3	,				limit + 1	,				2	):
      if is_prime(snake_case_	) and not contains_an_even_digit(snake_case_	):
         __snake_case								=       str(snake_case_	)
         __snake_case								=       [int(str_num[j:] + str_num[:j]	) for j in range(len(snake_case_	)	)]
         if all(is_prime(snake_case_	) for i in list_nums	):
            result.append(snake_case_	)
   return result






def lowerCamelCase__   (							)				->    int:
   return len(find_circular_primes()	)


if __name__ == "__main__":
    print(F'{len(find_circular_primes()) = }')

