




"""simple docstring"""
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


a_				:    Any										=     get_tests_dir('''fixtures/test_sentencepiece.model''')
a_				:    Optional[Any]										=     get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')

a_				:    List[str]										=     '''pt''' if is_torch_available() else '''tf'''

@require_sentencepiece
@require_tokenizers
class __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						List[str]     		= CamembertTokenizer
					__a						:						Any     		= CamembertTokenizerFast
					__a						:						Dict     		= True
					__a						:						Optional[Any]     		= True
					def     snake_case_				(    self     ):
								super().setUp()

								# We have a SentencePiece fixture for testing
								__lowerCamelCase					:	Union[str, Any]	       =				CamembertTokenizer(__a     )
								tokenizer.save_pretrained(self.tmpdirname     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				'<pad>'
								__lowerCamelCase					:	Dict	       =				1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(__a     )						,	__a     )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(__a     )						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				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     )						,	1004     )
					def     snake_case_				(    self     ):
								self.assertEqual(self.get_tokenizer().vocab_size						,	1005     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				CamembertTokenizer(__a     )
								tokenizer.save_pretrained(self.tmpdirname     )
								__lowerCamelCase					:	List[Any]	       =				CamembertTokenizerFast.from_pretrained(self.tmpdirname     )

								__lowerCamelCase					:	List[Any]	       =				'I was born in 92000, and this is falsé.'

								__lowerCamelCase					:	str	       =				tokenizer.encode(__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				rust_tokenizer.encode(__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	List[str]	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								__lowerCamelCase					:	int	       =				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)
								__lowerCamelCase					:	str	       =				tokenizer.convert_ids_to_tokens(__a     )
								__lowerCamelCase					:	List[str]	       =				rust_tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self     ):
								if not self.test_rust_tokenizer:
											return

								__lowerCamelCase					:	Dict	       =				self.get_tokenizer()
								__lowerCamelCase					:	List[str]	       =				self.get_rust_tokenizer()

								__lowerCamelCase					:	Optional[Any]	       =				'I was born in 92000, and this is falsé.'

								__lowerCamelCase					:	Tuple	       =				tokenizer.tokenize(__a     )
								__lowerCamelCase					:	Any	       =				rust_tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Union[str, Any]	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								__lowerCamelCase					:	Dict	       =				rust_tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	int	       =				self.get_rust_tokenizer()
								__lowerCamelCase					:	List[Any]	       =				tokenizer.encode(__a     )
								__lowerCamelCase					:	Optional[Any]	       =				rust_tokenizer.encode(__a     )
								self.assertListEqual(__a						,	__a     )





					@slow
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	Tuple	       =				{'input_ids': [[5, 54, 7196, 297, 30, 23, 776, 18, 11, 3215, 3705, 8252, 22, 3164, 1181, 2116, 29, 16, 813, 25, 791, 3314, 20, 3446, 38, 27575, 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, 9088, 20, 1517, 8, 22804, 18818, 10, 38, 629, 607, 607, 142, 19, 7196, 867, 56, 10326, 24, 2267, 20, 416, 5072, 15612, 233, 734, 7, 2399, 27, 16, 3015, 1649, 7, 24, 20, 4338, 2399, 27, 13, 3400, 14, 13, 6189, 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.
								__lowerCamelCase					:	int	       =				[
								    '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						,	)









"""simple docstring"""
def 						UpperCAmelCase				(			A__:    Dict     )  ->     Optional[int]:
			stooge(A__							,				0							,				len(A__     ) - 1     )
			return arr





def 						UpperCAmelCase				(			A__:    Dict							,				A__:    List[str]							,				A__:    Optional[int]     )  ->     Any:
			if i >= h:
						return

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

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

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

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

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


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



