





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 				__lowerCAmelCase       (    unittest.TestCase):







      @slow
      def    _lowercase  (    self							)   ->						Any:



        '''simple docstring'''




        a__	:					str										=FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"							)
        a__	:					Optional[int]										=AutoTokenizer.from_pretrained("google/mt5-small"							)

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

        a__	:					Any										=shift_tokens_right(lowerCAmelCase__		,      model.config.pad_token_id		,      model.config.decoder_start_token_id							)

        a__	:					Tuple										=model(lowerCAmelCase__		,      decoder_input_ids=lowerCAmelCase__							).logits
        a__	:					Any										=optax.softmax_cross_entropy(lowerCAmelCase__		,      onehot(lowerCAmelCase__		,      logits.shape[-1]							)							).mean()

        a__	:					str										=-(labels.shape[-1] * loss.item())

        a__	:					Any										=-84.91_27
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE							) < 1E-4							)













def      _A       (		SCREAMING_SNAKE_CASE     :   Optional[Any]						):





  """simple docstring"""



  a__	:					Optional[Any]										=len(SCREAMING_SNAKE_CASE						)
  while cur > 1:
    # Find the maximum number in arr
    a__	:					List[Any]										=arr.index(max(arr[0:cur]						)						)
    # Reverse from 0 to mi
    a__	:					int										=arr[mi::-1] + arr[mi + 1 : len(SCREAMING_SNAKE_CASE						)]
    # Reverse whole list
    a__	:					List[str]										=arr[cur - 1 :: -1] + arr[cur : len(SCREAMING_SNAKE_CASE						)]
    cur -= 1
  return arr


if __name__ == "__main__":
     UpperCAmelCase	:	int		     =       input("""Enter numbers separated by a comma:\n""").strip()
     UpperCAmelCase	:	Optional[int]		     =       [int(item) for item in user_input.split(""",""")]
     print(pancake_sort(unsorted))






