


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 	UpperCAmelCase_					(					unittest.TestCase    ):

   '''simple docstring'''




   @slow
   def _snake_case    (		self ):






     """simple docstring"""





     lowerCamelCase :					Dict    =				TFAutoModelForSeqaSeqLM.from_pretrained("google/mt5-small" )
     lowerCamelCase :					Dict    =				AutoTokenizer.from_pretrained("google/mt5-small" )

     lowerCamelCase :					Any    =				tokenizer("Hello there"						,				return_tensors="tf" ).input_ids
     lowerCamelCase :					Any    =				tokenizer("Hi I am"						,				return_tensors="tf" ).input_ids

     lowerCamelCase :					Dict    =				model(__A						,				labels=__A ).loss
     lowerCamelCase :					str    =				-tf.math.reduce_mean(__A ).numpy()

     lowerCamelCase :					Any    =				-21.228168
     self.assertTrue(abs(mtf_score - EXPECTED_SCORE ) < 2e-4 )







def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  for i in range(len(SCREAMING_SNAKE_CASE_	) - 1      ,						0      ,						-1	):
    lowerCamelCase :					Tuple    =				False

    for j in range(SCREAMING_SNAKE_CASE_      ,						0      ,						-1	):
      if unsorted[j] < unsorted[j - 1]:
        lowerCamelCase    ,	lowerCamelCase :					int    =				unsorted[j - 1], unsorted[j]
        lowerCamelCase :					Optional[int]    =				True

    for j in range(SCREAMING_SNAKE_CASE_	):
      if unsorted[j] > unsorted[j + 1]:
        lowerCamelCase    ,	lowerCamelCase :					Union[str, Any]    =				unsorted[j + 1], unsorted[j]
        lowerCamelCase :					Optional[Any]    =				True

    if not swapped:
      break
  return unsorted


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   _snake_case             =     input('''Enter numbers separated by a comma:\n''').strip()
   _snake_case             =     [int(item) for item in user_input.split(''',''')]
   print(f'''{cocktail_shaker_sort(unsorted) = }''')



