




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 						_A (  unittest.TestCase				):






  @slow
  def  __a      (  self		:     List[Any]				)		->   List[Any]:






       """simple docstring"""







       lowercase :       List[Any]       =			TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''				)
       lowercase :       Union[str, Any]       =			AutoTokenizer.from_pretrained('''google/mt5-small'''				)

       lowercase :       int       =			tokenizer('''Hello there'''				,						return_tensors='''tf'''				).input_ids
       lowercase :       int       =			tokenizer('''Hi I am'''				,						return_tensors='''tf'''				).input_ids

       lowercase :       str       =			model(_A				,						labels=_A				).loss
       lowercase :       str       =			-tf.math.reduce_mean(_A				).numpy()

       lowercase :       List[Any]       =			-21.228_168
       self.assertTrue(abs(mtf_score - EXPECTED_SCORE				) < 2E-4				)





import math






def  snake_case(    __magic_name__   )			->							bool:





     '''simple docstring'''


     lowercase :       Union[str, Any]       =			math.loga(math.sqrt(4 * positive_integer + 1   ) / 2 + 1 / 2   )

     return exponent == int(__magic_name__   )






def  snake_case(    __magic_name__ = 1 / 1_23_45   )			->							int:





     '''simple docstring'''


     lowercase :       Union[str, Any]       =			0
     lowercase :       str       =			0

     lowercase :       Optional[int]       =			3
     while True:
          lowercase :       Any       =			(integer**2 - 1) / 4
          # if candidate is an integer, then there is a partition for k
          if partition_candidate == int(__magic_name__   ):
               lowercase :       Any       =			int(__magic_name__   )
               total_partitions += 1
               if check_partition_perfect(__magic_name__   ):
                    perfect_partitions += 1
          if perfect_partitions > 0:
               if perfect_partitions / total_partitions < max_proportion:
                    return int(__magic_name__   )
          integer += 1


if __name__ == "__main__":
 print(f'''{solution() = }''')