import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class      __lowercase					(    _A       ,     unittest.TestCase    ):
						lowercase					 =     BarthezTokenizer
						lowercase					 =     BarthezTokenizerFast
						lowercase					 =     True
						lowercase					 =     True

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


									'''simple docstring'''

									super().setUp()

									lowercase							=		BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez'''   )
									tokenizer.save_pretrained(self.tmpdirname   )
									tokenizer.save_pretrained(self.tmpdirname							,							legacy_format=__lowerCamelCase   )
									lowercase							=		tokenizer

						def        __a		(	self				:      Tuple   )							->		Any:


									'''simple docstring'''

									lowercase							=		'''<pad>'''
									lowercase							=		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				:      List[Any]   )							->		Optional[int]:


									'''simple docstring'''

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

									self.assertEqual(vocab_keys[0]							,							'''<s>'''   )
									self.assertEqual(vocab_keys[1]							,							'''<pad>'''   )
									self.assertEqual(vocab_keys[-1]							,							'''<mask>'''   )
									self.assertEqual(len(__lowerCamelCase   )							,							10_11_22   )

						def        __a		(	self				:      Dict   )							->		List[Any]:


									'''simple docstring'''

									self.assertEqual(self.get_tokenizer().vocab_size							,							10_11_22   )

						@require_torch
						def        __a		(	self				:      str   )							->		Optional[int]:


									'''simple docstring'''

									lowercase							=		['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
									lowercase							=		[0, 57, 30_18, 7_03_07, 91, 2]

									lowercase							=		self.tokenizer(
									    __lowerCamelCase							,							max_length=len(__lowerCamelCase   )							,							padding=__lowerCamelCase							,							truncation=__lowerCamelCase							,							return_tensors='''pt'''   )
									self.assertIsInstance(__lowerCamelCase							,							__lowerCamelCase   )

									self.assertEqual((2, 6)							,							batch.input_ids.shape   )
									self.assertEqual((2, 6)							,							batch.attention_mask.shape   )
									lowercase							=		batch.input_ids.tolist()[0]
									self.assertListEqual(__lowerCamelCase							,							__lowerCamelCase   )

						def        __a		(	self				:      Any   )							->		Optional[Any]:


									'''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(__lowerCamelCase   )
									lowercase							=		rust_tokenizer.tokenize(__lowerCamelCase   )
									self.assertListEqual(__lowerCamelCase							,							__lowerCamelCase   )

									lowercase							=		tokenizer.encode(__lowerCamelCase							,							add_special_tokens=__lowerCamelCase   )
									lowercase							=		rust_tokenizer.encode(__lowerCamelCase							,							add_special_tokens=__lowerCamelCase   )
									self.assertListEqual(__lowerCamelCase							,							__lowerCamelCase   )

									lowercase							=		self.get_rust_tokenizer()
									lowercase							=		tokenizer.encode(__lowerCamelCase   )
									lowercase							=		rust_tokenizer.encode(__lowerCamelCase   )
									self.assertListEqual(__lowerCamelCase							,							__lowerCamelCase   )



						@slow
						def        __a		(	self				:      Tuple   )							->		Optional[int]:


									'''simple docstring'''

									lowercase							=		{'''input_ids''': [[0, 4_90, 1_43_28, 45_07, 3_54, 47, 4_36_69, 95, 25, 7_81_17, 2_02_15, 1_97_79, 1_90, 22, 4_00, 4, 3_53_43, 8_03_10, 6_03, 86, 2_49_37, 1_05, 3_34_38, 9_47_62, 1_96, 3_96_42, 7, 15, 1_59_33, 1_73, 2, 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, 1_05_34, 87, 25, 66, 33_58, 1_96, 5_52_89, 8, 8_29_61, 81, 22_04, 7_52_03, 7, 15, 7_63, 1_29_56, 2_16, 1_78, 1_43_28, 95_95, 13_77, 6_96_93, 7, 4_48, 7_10_21, 1_96, 1_81_06, 14_37, 1_39_74, 1_08, 90_83, 4, 4_93_15, 7, 39, 86, 13_26, 27_93, 4_63_33, 4, 4_48, 1_96, 7_45_88, 7, 4_93_15, 7, 39, 21, 8_22, 3_84_70, 74, 21, 6_67_23, 6_24_80, 8, 2_20_50, 5, 2]], '''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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
									# fmt: on

									# moussaKam/mbarthez 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=__lowerCamelCase							,							model_name='''moussaKam/mbarthez'''							,							revision='''c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'''							,							sequences=__lowerCamelCase							,							)






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


A_      =      re.compile(R"^(?P<major>\d+)" R"\.(?P<minor>\d+)" R"\.(?P<patch>\d+)$")






@total_ordering
@dataclass
class      __lowercase					:
						lowercase					 =     42
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None

						def        __a		(	self				:      int   )							->		str:


									'''simple docstring'''

									lowercase		,lowercase		,lowercase							=		_str_to_version_tuple(self.version_str   )

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


									'''simple docstring'''

									return f'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'

						@property
						def        __a		(	self				:      Dict   )							->		Union[str, Any]:


									'''simple docstring'''

									return self.major, self.minor, self.patch

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      Any   )							->		Dict:


									'''simple docstring'''

									if isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return Version(__lowerCamelCase   )
									elif isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return other
									raise TypeError(f'{other} (type {type(__lowerCamelCase   )}) cannot be compared to version.'   )

						def __eq__(	self				:      Tuple							,							__lowerCamelCase				:      Tuple   )							->		List[Any]:


									'''simple docstring'''

									try:
												lowercase							=		self._validate_operand(__lowerCamelCase   )
									except (TypeError, ValueError):
												return False
									else:
												return self.tuple == other.tuple

						def __lt__(	self				:      Any							,							__lowerCamelCase				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									lowercase							=		self._validate_operand(__lowerCamelCase   )
									return self.tuple < other.tuple

						def __hash__(	self				:      int   )							->		str:


									'''simple docstring'''

									return hash(_version_tuple_to_str(self.tuple   )   )

						@classmethod
						def        __a		(	cls				:      List[str]							,							__lowerCamelCase				:      Any   )							->		int:


									'''simple docstring'''

									lowercase							=		{f.name for f in dataclasses.fields(cls   )}
									return cls(**{k: v for k, v in dic.items() if k in field_names}   )



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


									'''simple docstring'''

									return self.version_str






def        __UpperCAmelCase    (       UpperCAmelCase       )->       List[str]:



			"""simple docstring"""







			lowercase							=		_VERSION_REG.match(UpperCAmelCase       )
			if not res:
						raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'       )
			return tuple(int(UpperCAmelCase       ) for v in [res.group('''major'''       ), res.group('''minor'''       ), res.group('''patch'''       )]       )






def        __UpperCAmelCase    (       UpperCAmelCase       )->       int:



			"""simple docstring"""







			return ".".join(str(UpperCAmelCase       ) for v in version_tuple       )





