






"""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


lowerCAmelCase__    						=			get_tests_dir('fixtures/test_sentencepiece.model')
lowerCAmelCase__    						=			get_tests_dir('fixtures/test_sentencepiece_bpe.model')

lowerCAmelCase__    						=			'pt' if is_torch_available() else 'tf'


@require_sentencepiece
@require_tokenizers
class _lowerCAmelCase						(    __UpperCAmelCase   ,  unittest.TestCase       ):
						SCREAMING_SNAKE_CASE_:					Dict 					=				CamembertTokenizer
						SCREAMING_SNAKE_CASE_:					int 					=				CamembertTokenizerFast
						SCREAMING_SNAKE_CASE_:					str 					=				True
						SCREAMING_SNAKE_CASE_:					List[str] 					=				True







						def 			A      (    self							)		->							Optional[Any]:
										super().setUp()

										# We have a SentencePiece fixture for testing
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    CamembertTokenizer(lowerCAmelCase_							)
										tokenizer.save_pretrained(self.tmpdirname							)







						def 			A      (    self							)		->							List[str]:
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    '<pad>'
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    1

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







						def 			A      (    self							)		->							str:
										_SCREAMING_SNAKE_CASE   :		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(lowerCAmelCase_							)   ,				1_0_0_4							)







						def 			A      (    self							)		->							List[Any]:
										self.assertEqual(self.get_tokenizer().vocab_size   ,				1_0_0_5							)







						def 			A      (    self							)		->							List[Any]:
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    CamembertTokenizer(lowerCAmelCase_							)
										tokenizer.save_pretrained(self.tmpdirname							)
										_SCREAMING_SNAKE_CASE   :		str       		=    CamembertTokenizerFast.from_pretrained(self.tmpdirname							)

										_SCREAMING_SNAKE_CASE   :		Tuple       		=    'I was born in 92000, and this is falsé.'

										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    tokenizer.encode(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		List[str]       		=    rust_tokenizer.encode(lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)

										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    tokenizer.encode(lowerCAmelCase_   ,				add_special_tokens=lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		str       		=    rust_tokenizer.encode(lowerCAmelCase_   ,				add_special_tokens=lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)

										# <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)
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    tokenizer.convert_ids_to_tokens(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    rust_tokenizer.tokenize(lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)







						def 			A      (    self							)		->							Any:
										if not self.test_rust_tokenizer:
														return

										_SCREAMING_SNAKE_CASE   :		Any       		=    self.get_tokenizer()
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    self.get_rust_tokenizer()

										_SCREAMING_SNAKE_CASE   :		str       		=    'I was born in 92000, and this is falsé.'

										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    tokenizer.tokenize(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		Any       		=    rust_tokenizer.tokenize(lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)

										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    tokenizer.encode(lowerCAmelCase_   ,				add_special_tokens=lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		int       		=    rust_tokenizer.encode(lowerCAmelCase_   ,				add_special_tokens=lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)

										_SCREAMING_SNAKE_CASE   :		Any       		=    self.get_rust_tokenizer()
										_SCREAMING_SNAKE_CASE   :		List[str]       		=    tokenizer.encode(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    rust_tokenizer.encode(lowerCAmelCase_							)
										self.assertListEqual(lowerCAmelCase_   ,				lowerCAmelCase_							)







						@slow
						def 			A      (    self							)		->							int:
										# fmt: off
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    {'input_ids': [[5, 5_4, 7_1_9_6, 2_9_7, 3_0, 2_3, 7_7_6, 1_8, 1_1, 3_2_1_5, 3_7_0_5, 8_2_5_2, 2_2, 3_1_6_4, 1_1_8_1, 2_1_1_6, 2_9, 1_6, 8_1_3, 2_5, 7_9_1, 3_3_1_4, 2_0, 3_4_4_6, 3_8, 2_7_5_7_5, 1_2_0, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 4_6_8, 1_7, 1_1, 9_0_8_8, 2_0, 1_5_1_7, 8, 2_2_8_0_4, 1_8_8_1_8, 1_0, 3_8, 6_2_9, 6_0_7, 6_0_7, 1_4_2, 1_9, 7_1_9_6, 8_6_7, 5_6, 1_0_3_2_6, 2_4, 2_2_6_7, 2_0, 4_1_6, 5_0_7_2, 1_5_6_1_2, 2_3_3, 7_3_4, 7, 2_3_9_9, 2_7, 1_6, 3_0_1_5, 1_6_4_9, 7, 2_4, 2_0, 4_3_3_8, 2_3_9_9, 2_7, 1_3, 3_4_0_0, 1_4, 1_3, 6_1_8_9, 8, 9_3_0, 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.
										_SCREAMING_SNAKE_CASE   :		Optional[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=lowerCAmelCase_   ,				model_name='camembert-base'   ,				revision='3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'   ,				sequences=lowerCAmelCase_   ,				)









"""simple docstring"""
class _lowerCAmelCase						:







						def __init__(    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_=None   ,				lowerCAmelCase_=None							)		->							int:
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    data
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    previous
										_SCREAMING_SNAKE_CASE   :		Any       		=    next_node







						def __str__(    self							)		->							str:
										return F"""{self.data}"""







						def 			A      (    self							)		->							int:
										return self.data







						def 			A      (    self							)		->							Dict:
										return self.next







						def 			A      (    self							)		->							Union[str, Any]:
										return self.previous







class _lowerCAmelCase						:







						def __init__(    self   ,				lowerCAmelCase_							)		->							List[str]:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    head







						def __iter__(    self							)		->							Any:
										return self







						def 			A      (    self							)		->							Dict:
										if not self.current:
														raise StopIteration
										else:
														_SCREAMING_SNAKE_CASE   :		Any       		=    self.current.get_data()
														_SCREAMING_SNAKE_CASE   :		Dict       		=    self.current.get_next()
														return value







class _lowerCAmelCase						:







						def __init__(    self							)		->							Dict:
										_SCREAMING_SNAKE_CASE   :		Dict       		=    None  # First node in list
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    None  # Last node in list







						def __str__(    self							)		->							Any:
										_SCREAMING_SNAKE_CASE   :		str       		=    self.head
										_SCREAMING_SNAKE_CASE   :		int       		=    []
										while current is not None:
														nodes.append(current.get_data()							)
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    current.get_next()
										return " ".join(str(lowerCAmelCase_							) for node in nodes							)







						def __contains__(    self   ,				lowerCAmelCase_							)		->							Any:
										_SCREAMING_SNAKE_CASE   :		Any       		=    self.head
										while current:
														if current.get_data() == value:
																		return True
														_SCREAMING_SNAKE_CASE   :		int       		=    current.get_next()
										return False







						def __iter__(    self							)		->							str:
										return LinkedListIterator(self.head							)







						def 			A      (    self							)		->							Dict:
										if self.head:
														return self.head.get_data()
										return None







						def 			A      (    self							)		->							List[Any]:
										if self.tail:
														return self.tail.get_data()
										return None







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										if self.head is None:
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node
														_SCREAMING_SNAKE_CASE   :		Dict       		=    node
										else:
														self.insert_before_node(self.head   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										if self.head is None:
														self.set_head(lowerCAmelCase_							)
										else:
														self.insert_after_node(self.tail   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Any       		=    Node(lowerCAmelCase_							)
										if self.head is None:
														self.set_head(lowerCAmelCase_							)
										else:
														self.set_tail(lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    node
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node.previous

										if node.get_previous() is None:
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node_to_insert
										else:
														_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    node_to_insert

										_SCREAMING_SNAKE_CASE   :		Any       		=    node_to_insert







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    node
										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    node.next

										if node.get_next() is None:
														_SCREAMING_SNAKE_CASE   :		Tuple       		=    node_to_insert
										else:
														_SCREAMING_SNAKE_CASE   :		Any       		=    node_to_insert

										_SCREAMING_SNAKE_CASE   :		List[str]       		=    node_to_insert







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_							)		->							None:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    1
										_SCREAMING_SNAKE_CASE   :		str       		=    Node(lowerCAmelCase_							)
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.head
										while node:
														if current_position == position:
																		self.insert_before_node(lowerCAmelCase_   ,				lowerCAmelCase_							)
																		return
														current_position += 1
														_SCREAMING_SNAKE_CASE   :		List[str]       		=    node.next
										self.insert_after_node(self.tail   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							Node:
										_SCREAMING_SNAKE_CASE   :		Tuple       		=    self.head
										while node:
														if node.get_data() == item:
																		return node
														_SCREAMING_SNAKE_CASE   :		Dict       		=    node.get_next()
										raise Exception('Node not found'							)







						def 			A      (    self   ,				lowerCAmelCase_							)		->							int:
										if (node := self.get_node(lowerCAmelCase_							)) is not None:
														if node == self.head:
																		_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    self.head.get_next()

														if node == self.tail:
																		_SCREAMING_SNAKE_CASE   :		int       		=    self.tail.get_previous()

														self.remove_node_pointers(lowerCAmelCase_							)







						@staticmethod
						def 			A      (    lowerCAmelCase_							)		->							None:
										if node.get_next():
														_SCREAMING_SNAKE_CASE   :		List[Any]       		=    node.previous

										if node.get_previous():
														_SCREAMING_SNAKE_CASE   :		str       		=    node.next

										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    None
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    None







						def 			A      (    self							)		->							List[str]:
										return self.head is None







def 				lowercase__		(					):
				pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()

