
import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
     import optax
     from flax.training.common_utils import onehot

     from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
     from transformers.models.ta.modeling_flax_ta import shift_tokens_right



@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class    _snake_case (						unittest.TestCase				):


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Tuple     		=   FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small""")
   lowercase__	: Dict     		=   AutoTokenizer.from_pretrained("""google/mt5-small""")

   lowercase__	: List[Any]     		=   tokenizer("""Hello there"""       ,	return_tensors="""np""").input_ids
   lowercase__	: Optional[Any]     		=   tokenizer("""Hi I am"""       ,	return_tensors="""np""").input_ids

   lowercase__	: Optional[int]     		=   shift_tokens_right(SCREAMING_SNAKE_CASE_       ,	model.config.pad_token_id       ,	model.config.decoder_start_token_id)

   lowercase__	: str     		=   model(SCREAMING_SNAKE_CASE_       ,	decoder_input_ids=SCREAMING_SNAKE_CASE_).logits
   lowercase__	: Union[str, Any]     		=   optax.softmax_cross_entropy(SCREAMING_SNAKE_CASE_       ,	onehot(SCREAMING_SNAKE_CASE_       ,	logits.shape[-1])).mean()

   lowercase__	: Union[str, Any]     		=   -(labels.shape[-1] * loss.item())

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













"""simple docstring"""






from __future__ import annotations






def      lowercase__ (					lowerCAmelCase__   :			int			)    ->			list[int]:



			'''simple docstring'''
			a__  :	Tuple		 =			[True] * limit
			a__  :	Tuple		 =			False
			a__  :	int		 =			False
			a__  :	Tuple		 =			True

			for i in range(3							,			int(limit**0.5 + 1			)							,			2			):
						a__  :	int		 =			i * 2
						while index < limit:
									a__  :	Union[str, Any]		 =			False
									a__  :	int		 =			index + i

			a__  :	str		 =			[2]

			for i in range(3							,			lowerCAmelCase__							,			2			):
						if is_prime[i]:
									primes.append(lowerCAmelCase__			)

			return primes






def      lowercase__ (					lowerCAmelCase__   :			int = 1_0_0_0_0_0_0			)    ->			int:



			'''simple docstring'''
			a__  :	List[Any]		 =			prime_sieve(lowerCAmelCase__			)
			a__  :	int		 =			0
			a__  :	str		 =			0

			for i in range(len(lowerCAmelCase__			)			):
						for j in range(i + length							,			len(lowerCAmelCase__			)			):
									a__  :	List[str]		 =			sum(primes[i:j]			)
									if sol >= ceiling:
												break

									if sol in primes:
												a__  :	Tuple		 =			j - i
												a__  :	Union[str, Any]		 =			sol

			return largest


if __name__ == "__main__":
		print(f"{solution() = }")