


"""simple docstring"""




from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
   import tensorflow as tf

   from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM
@require_tf
@require_sentencepiece
@require_tokenizers
class 			SCREAMING_SNAKE_CASE__  (    unittest.TestCase      ):
      @slow
      def 	SCREAMING_SNAKE_CASE							(	self    :	Any					)		->      str:
             a_ :		Tuple							=  TFAutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'					)
             a_ :		int							=  AutoTokenizer.from_pretrained('google/mt5-small'					)

             a_ :		Dict							=  tokenizer('Hello there'					,							return_tensors='tf'					).input_ids
             a_ :		str							=  tokenizer('Hi I am'					,							return_tensors='tf'					).input_ids

             a_ :		int							=  model(SCREAMING_SNAKE_CASE__					,							labels=SCREAMING_SNAKE_CASE__					).loss
             a_ :		List[str]							=  -tf.math.reduce_mean(SCREAMING_SNAKE_CASE__					).numpy()

             a_ :		Optional[int]							=  -21.228168
             self.assertTrue(abs(mtf_score - EXPECTED_SCORE					) < 2E-4					)






def 	SCREAMING_SNAKE_CASE_						(      __A			:      list    )     ->		bool:

       """simple docstring"""

       if not isinstance(__A  ,   __A    ):
              raise ValueError('Input series is not valid, valid series - [2, 4, 6]'    )
       if len(__A    ) == 0:
              raise ValueError('Input list must be a non empty list'    )
       if len(__A    ) == 1:
              return True
       a_ :		Tuple							=  series[1] - series[0]
       for index in range(len(__A    ) - 1    ):
              if series[index + 1] - series[index] != common_diff:
                     return False
       return True







def 	SCREAMING_SNAKE_CASE_						(      __A			:      list    )     ->		float:

       """simple docstring"""

       if not isinstance(__A  ,   __A    ):
              raise ValueError('Input series is not valid, valid series - [2, 4, 6]'    )
       if len(__A    ) == 0:
              raise ValueError('Input list must be a non empty list'    )
       a_ :		str							=  0
       for val in series:
              answer += val
       return answer / len(__A    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


