


"""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


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

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



@require_sentencepiece
@require_tokenizers
class 		snake_case_(       a__							,					unittest.TestCase			):
     __UpperCamelCase  =					CamembertTokenizer
     __UpperCamelCase  =					CamembertTokenizerFast
     __UpperCamelCase  =					True
     __UpperCamelCase  =					True






     def      lowerCamelCase__     (	self  :					Tuple				):
           super().setUp()

           # We have a SentencePiece fixture for testing
           lowerCAmelCase					:	Optional[Any]       =   CamembertTokenizer(UpperCamelCase_				)
           tokenizer.save_pretrained(self.tmpdirname				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	int       =   '''<pad>'''
           lowerCAmelCase					:	Union[str, Any]       =   1

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






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	List[Any]       =   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(UpperCamelCase_				)					,				1_0_0_4				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           self.assertEqual(self.get_tokenizer().vocab_size					,				1_0_0_5				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	Dict       =   CamembertTokenizer(UpperCamelCase_				)
           tokenizer.save_pretrained(self.tmpdirname				)
           lowerCAmelCase					:	str       =   CamembertTokenizerFast.from_pretrained(self.tmpdirname				)

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

           lowerCAmelCase					:	Dict       =   tokenizer.encode(UpperCamelCase_				)
           lowerCAmelCase					:	List[Any]       =   rust_tokenizer.encode(UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	int       =   tokenizer.encode(UpperCamelCase_					,				add_special_tokens=UpperCamelCase_				)
           lowerCAmelCase					:	List[str]       =   rust_tokenizer.encode(UpperCamelCase_					,				add_special_tokens=UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)

           # <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					:	Optional[int]       =   tokenizer.convert_ids_to_tokens(UpperCamelCase_				)
           lowerCAmelCase					:	Dict       =   rust_tokenizer.tokenize(UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Dict				):
           if not self.test_rust_tokenizer:
                 return

           lowerCAmelCase					:	Tuple       =   self.get_tokenizer()
           lowerCAmelCase					:	List[str]       =   self.get_rust_tokenizer()

           lowerCAmelCase					:	Dict       =   '''I was born in 92000, and this is falsé.'''

           lowerCAmelCase					:	Any       =   tokenizer.tokenize(UpperCamelCase_				)
           lowerCAmelCase					:	Union[str, Any]       =   rust_tokenizer.tokenize(UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[int]       =   tokenizer.encode(UpperCamelCase_					,				add_special_tokens=UpperCamelCase_				)
           lowerCAmelCase					:	List[Any]       =   rust_tokenizer.encode(UpperCamelCase_					,				add_special_tokens=UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   self.get_rust_tokenizer()
           lowerCAmelCase					:	Optional[int]       =   tokenizer.encode(UpperCamelCase_				)
           lowerCAmelCase					:	Dict       =   rust_tokenizer.encode(UpperCamelCase_				)
           self.assertListEqual(UpperCamelCase_					,				UpperCamelCase_				)






     @slow
     def      lowerCamelCase__     (	self  :					List[str]				):
           # fmt: off
           lowerCAmelCase					:	Dict       =   {'''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.
           lowerCAmelCase					:	Any       =   [
               '''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=UpperCamelCase_					,				model_name='''camembert-base'''					,				revision='''3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf'''					,				sequences=UpperCamelCase_					,				)






"""simple docstring"""





from __future__ import annotations

from typing import Any



class 		snake_case_(       a__			):
     pass



class 		snake_case_:






     def __init__(	self  :					Any					,				UpperCamelCase_  :					Any				):
           lowerCAmelCase					:	Any       =   data
           lowerCAmelCase					:	Node | None       =   None






     def __iter__(	self  :					int				):
           lowerCAmelCase					:	Any       =   self
           lowerCAmelCase					:	Union[str, Any]       =   []
           while node:
                 if node in visited:
                       raise ContainsLoopError
                 visited.append(UpperCamelCase_				)
                 yield node.data
                 lowerCAmelCase					:	Optional[int]       =   node.next_node






     @property
     def      lowerCamelCase__     (	self  :					str				):
           try:
                 list(self				)
                 return False
           except ContainsLoopError:
                 return True


if __name__ == "__main__":
 snake_case__		:     Dict    				=				Node(1)
 snake_case__		:     Any    				=				Node(2)
 snake_case__		:     int    				=				Node(3)
 snake_case__		:     Any    				=				Node(4)
 print(root_node.has_loop)  # False
 snake_case__		:     Tuple    				=				root_node.next_node
 print(root_node.has_loop)  # True

 snake_case__		:     List[Any]    				=				Node(5)
 snake_case__		:     int    				=				Node(6)
 snake_case__		:     List[Any]    				=				Node(5)
 snake_case__		:     Dict    				=				Node(6)
 print(root_node.has_loop)  # False

 snake_case__		:     Any    				=				Node(1)
 print(root_node.has_loop)  # False


