





import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


lowercase_					     =	get_tests_dir("""fixtures/test_sentencepiece.model""")
lowercase_					     =	get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")

lowercase_					     =	"""pt""" if is_torch_available() else """tf"""
@require_sentencepiece
@require_tokenizers
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase    ,			unittest.TestCase   ):
   _UpperCamelCase					:	str				      = CamembertTokenizer
   _UpperCamelCase					:	Any				      = CamembertTokenizerFast
   _UpperCamelCase					:	List[str]				      = True
   _UpperCamelCase					:	List[str]				      = True


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict )->     Optional[Any]:





     """simple docstring"""







     super().setUp()

     # We have a SentencePiece fixture for testing
     lowercase__			    =						CamembertTokenizer(a )
     tokenizer.save_pretrained(self.tmpdirname )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int] )->     str:





     """simple docstring"""







     lowercase__			    =						'<pad>'
     lowercase__			    =						1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(a )    ,  a )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(a )    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int] )->     List[str]:





     """simple docstring"""







     lowercase__			    =						list(self.get_tokenizer().get_vocab().keys() )

     self.assertEqual(vocab_keys[0]    ,  '<s>NOTUSED' )
     self.assertEqual(vocab_keys[1]    ,  '<pad>' )
     self.assertEqual(vocab_keys[-1]    ,  '<mask>' )
     self.assertEqual(len(a )    ,  1_004 )


   def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     List[Any]:





     """simple docstring"""







     self.assertEqual(self.get_tokenizer().vocab_size    ,  1_005 )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Union[str, Any] )->     Union[str, Any]:





     """simple docstring"""







     lowercase__			    =						CamembertTokenizer(a )
     tokenizer.save_pretrained(self.tmpdirname )
     lowercase__			    =						CamembertTokenizerFast.from_pretrained(self.tmpdirname )

     lowercase__			    =						'I was born in 92000, and this is falsé.'

     lowercase__			    =						tokenizer.encode(a )
     lowercase__			    =						rust_tokenizer.encode(a )
     self.assertListEqual(a    ,  a )

     lowercase__			    =						tokenizer.encode(a    ,  add_special_tokens=a )
     lowercase__			    =						rust_tokenizer.encode(a    ,  add_special_tokens=a )
     self.assertListEqual(a    ,  a )

     # <unk> tokens are not the same for `rust` than for `slow`.
     # Because spm gives back raw token instead of `unk` in EncodeAsPieces
     # tokens = tokenizer.tokenize(sequence)
     lowercase__			    =						tokenizer.convert_ids_to_tokens(a )
     lowercase__			    =						rust_tokenizer.tokenize(a )
     self.assertListEqual(a    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str] )->     List[str]:





     """simple docstring"""







     if not self.test_rust_tokenizer:
       return

     lowercase__			    =						self.get_tokenizer()
     lowercase__			    =						self.get_rust_tokenizer()

     lowercase__			    =						'I was born in 92000, and this is falsé.'

     lowercase__			    =						tokenizer.tokenize(a )
     lowercase__			    =						rust_tokenizer.tokenize(a )
     self.assertListEqual(a    ,  a )

     lowercase__			    =						tokenizer.encode(a    ,  add_special_tokens=a )
     lowercase__			    =						rust_tokenizer.encode(a    ,  add_special_tokens=a )
     self.assertListEqual(a    ,  a )

     lowercase__			    =						self.get_rust_tokenizer()
     lowercase__			    =						tokenizer.encode(a )
     lowercase__			    =						rust_tokenizer.encode(a )
     self.assertListEqual(a    ,  a )


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





     """simple docstring"""







     lowercase__			    =						{'input_ids': [[5, 54, 7_196, 297, 30, 23, 776, 18, 11, 3_215, 3_705, 8_252, 22, 3_164, 1_181, 2_116, 29, 16, 813, 25, 791, 3_314, 20, 3_446, 38, 27_575, 120, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 468, 17, 11, 9_088, 20, 1_517, 8, 22_804, 18_818, 10, 38, 629, 607, 607, 142, 19, 7_196, 867, 56, 10_326, 24, 2_267, 20, 416, 5_072, 15_612, 233, 734, 7, 2_399, 27, 16, 3_015, 1_649, 7, 24, 20, 4_338, 2_399, 27, 13, 3_400, 14, 13, 6_189, 8, 930, 9, 6]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
     # fmt: on

     # camembert is a french model. So we also use french texts.
     lowercase__			    =						[
         'Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '
         'utilisé principalement dans le domaine du traitement automatique des langues (TAL).',
         'À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '
         'pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '
         'telles que la traduction et la synthèse de texte.',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=a    ,  model_name='camembert-base'    ,  revision='3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'    ,  sequences=a    ,  )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  stooge(_SCREAMING_SNAKE_CASE	,		0	,		len(_SCREAMING_SNAKE_CASE	) - 1	)
  return arr




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     int:
  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    lowercase__    ,					lowercase__			    =						arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    lowercase__			    =						(int)((h - i + 1) / 3	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)

    # Recursively sort last 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		i + t	,		(_SCREAMING_SNAKE_CASE)	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)


if __name__ == "__main__":
      lowercase_					     =	input("""Enter numbers separated by a comma:\n""").strip()
      lowercase_					     =	[int(item) for item in user_input.split(""",""")]
      print(stooge_sort(unsorted))


