





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    lowerCAmelCase							(					unittest.TestCase			):
 @slow
 def      A_	(      self  :      int	)			->	Any:
     lowerCamelCase__    :      Optional[Any]					 =		AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'			,     return_dict=UpperCAmelCase	).to(UpperCAmelCase	)
     lowerCamelCase__    :      str					 =		AutoTokenizer.from_pretrained('google/mt5-small'	)

     lowerCamelCase__    :      Any					 =		tokenizer('Hello there'			,     return_tensors='pt'	).input_ids
     lowerCamelCase__    :      Tuple					 =		tokenizer('Hi I am'			,     return_tensors='pt'	).input_ids

     lowerCamelCase__    :      Optional[int]					 =		model(input_ids.to(UpperCAmelCase	)			,     labels=labels.to(UpperCAmelCase	)	).loss
     lowerCamelCase__    :      Dict					 =		-(labels.shape[-1] * loss.item())

     lowerCamelCase__    :      Optional[int]					 =		-8_4.9_1_2_7
     self.assertTrue(abs(mtf_score - EXPECTED_SCORE	) < 1e-4	)







from __future__ import annotations

from collections.abc import Iterator




class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Dict			,							UpperCamelCase__			: int    )			->	None:







    """simple docstring"""






    __magic_name__				     =       value
    __magic_name__				     =       None
    __magic_name__				     =       None







class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Union[str, Any]			,							UpperCamelCase__			: Node    )			->	None:







    """simple docstring"""






    __magic_name__				     =       tree
  def 							_lowercase							( self			: Optional[Any]			,							UpperCamelCase__			: Node | None    )			->	int:







    """simple docstring"""






    if node is None:
      return 0
    return node.value + (
        self.depth_first_search(node.left    ) + self.depth_first_search(node.right    )
    )





  def __iter__( self			: int    )			->	Iterator[int]:







    """simple docstring"""






    yield self.depth_first_search(self.tree    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

