





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      lowercase__    (							unittest.TestCase  ):







  @slow
  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       List[Any]    =		FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""						)
       lowerCAmelCase_					:       Optional[Any]    =		AutoTokenizer.from_pretrained("""google/mt5-small"""						)

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

       lowerCAmelCase_					:       Union[str, Any]    =		shift_tokens_right(_lowercase    ,						model.config.pad_token_id    ,						model.config.decoder_start_token_id						)

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

       lowerCAmelCase_					:       Optional[Any]    =		-(labels.shape[-1] * loss.item())

       lowerCAmelCase_					:       str    =		-84.9127
       self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1e-4						)







from __future__ import annotations






def 							_lowerCAmelCase (  _a   :					list[int]			)	->			list[int]:  # This function is recursive
     lowerCAmelCase_					:       List[Any]    =		len(_a			)
     # If the array contains only one element, we return it (it's the stop condition of
     # recursion)
     if array_length <= 1:
          return array
          # Else
     lowerCAmelCase_					:       Union[str, Any]    =		array[0]
     lowerCAmelCase_					:       str    =		False
     lowerCAmelCase_					:       Optional[int]    =		1
     lowerCAmelCase_					:       list[int]    =		[]
     while not is_found and i < array_length:
          if array[i] < pivot:
               lowerCAmelCase_					:       Optional[Any]    =		True
               lowerCAmelCase_					:       Tuple    =		[element for element in array[i:] if element >= array[i]]
               lowerCAmelCase_					:       Any    =		longest_subsequence(_a			)
               if len(_a			) > len(_a			):
                    lowerCAmelCase_					:       List[Any]    =		temp_array
          else:
               i += 1

     lowerCAmelCase_					:       Tuple    =		[element for element in array[1:] if element >= pivot]
     lowerCAmelCase_					:       List[Any]    =		[pivot, *longest_subsequence(_a			)]
     if len(_a			) > len(_a			):
          return temp_array
     else:
          return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()
