



'''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 					snake_case			(unittest.TestCase ):



       @slow
       def 				_a   (					self   )	->				Tuple:
           lowercase__									=    TFAutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"   )
           lowercase__									=    AutoTokenizer.from_pretrained("google/mt5-small"   )

           lowercase__									=    tokenizer("Hello there"  ,return_tensors="tf"   ).input_ids
           lowercase__									=    tokenizer("Hi I am"  ,return_tensors="tf"   ).input_ids

           lowercase__									=    model(UpperCAmelCase_  ,labels=UpperCAmelCase_   ).loss
           lowercase__									=    -tf.math.reduce_mean(UpperCAmelCase_   ).numpy()

           lowercase__									=    -21.22_81_68
           self.assertTrue(abs(mtf_score - EXPECTED_SCORE   ) < 2E-4   )









'''simple docstring'''





from __future__ import annotations




def 							lowerCamelCase	(					_snake_case	:    list[int]							):





    '''simple docstring'''


    return len(set(_snake_case							)							) == len(_snake_case							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()




