

"""simple docstring"""




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 	A_		(	UpperCamelCase_      ,							unittest.TestCase    ):
							_UpperCAmelCase   :  Any										=				BarthezTokenizer
							_UpperCAmelCase   :  Union[str, Any]										=				BarthezTokenizerFast
							_UpperCAmelCase   :  List[Any]										=				True
							_UpperCAmelCase   :  Optional[Any]										=				True
							def    lowerCAmelCase					(		self		:      Any):
								super().setUp()

								__lowerCamelCase    :    Optional[Any] 	=			BarthezTokenizerFast.from_pretrained('moussaKam/mbarthez')
								tokenizer.save_pretrained(self.tmpdirname)
								tokenizer.save_pretrained(self.tmpdirname       ,legacy_format=_a)
								__lowerCamelCase    :    Tuple 	=			tokenizer
							def    lowerCAmelCase					(		self		:      int):
								__lowerCamelCase    :    Tuple 	=			"""<pad>"""
								__lowerCamelCase    :    int 	=			1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(_a)       ,_a)
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(_a)       ,_a)
							def    lowerCAmelCase					(		self		:      Any):
								__lowerCamelCase    :    Any 	=			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(_a)       ,1_0_1_1_2_2)
							def    lowerCAmelCase					(		self		:      Dict):
								self.assertEqual(self.get_tokenizer().vocab_size       ,1_0_1_1_2_2)
							@require_torch
							def    lowerCAmelCase					(		self		:      str):
								__lowerCamelCase    :    Optional[Any] 	=			["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
								__lowerCamelCase    :    Union[str, Any] 	=			[0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

								__lowerCamelCase    :    List[Any] 	=			self.tokenizer(
								    _a       ,max_length=len(_a)       ,padding=_a       ,truncation=_a       ,return_tensors='pt')
								self.assertIsInstance(_a       ,_a)

								self.assertEqual((2, 6)       ,batch.input_ids.shape)
								self.assertEqual((2, 6)       ,batch.attention_mask.shape)
								__lowerCamelCase    :    Tuple 	=			batch.input_ids.tolist()[0]
								self.assertListEqual(_a       ,_a)
							def    lowerCAmelCase					(		self		:      Optional[int]):


								if not self.test_rust_tokenizer:
									return

								__lowerCamelCase    :    Optional[int] 	=			self.get_tokenizer()
								__lowerCamelCase    :    Union[str, Any] 	=			self.get_rust_tokenizer()

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

								__lowerCamelCase    :    int 	=			tokenizer.tokenize(_a)
								__lowerCamelCase    :    Optional[Any] 	=			rust_tokenizer.tokenize(_a)
								self.assertListEqual(_a       ,_a)

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

								__lowerCamelCase    :    List[str] 	=			self.get_rust_tokenizer()
								__lowerCamelCase    :    Optional[Any] 	=			tokenizer.encode(_a)
								__lowerCamelCase    :    Tuple 	=			rust_tokenizer.encode(_a)
								self.assertListEqual(_a       ,_a)


							@slow
							def    lowerCAmelCase					(		self		:      List[Any]):
								__lowerCamelCase    :    Optional[Any] 	=			{"""input_ids""": [[0, 4_9_0, 1_4_3_2_8, 4_5_0_7, 3_5_4, 4_7, 4_3_6_6_9, 9_5, 2_5, 7_8_1_1_7, 2_0_2_1_5, 1_9_7_7_9, 1_9_0, 2_2, 4_0_0, 4, 3_5_3_4_3, 8_0_3_1_0, 6_0_3, 8_6, 2_4_9_3_7, 1_0_5, 3_3_4_3_8, 9_4_7_6_2, 1_9_6, 3_9_6_4_2, 7, 1_5, 1_5_9_3_3, 1_7_3, 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_0_5_3_4, 8_7, 2_5, 6_6, 3_3_5_8, 1_9_6, 5_5_2_8_9, 8, 8_2_9_6_1, 8_1, 2_2_0_4, 7_5_2_0_3, 7, 1_5, 7_6_3, 1_2_9_5_6, 2_1_6, 1_7_8, 1_4_3_2_8, 9_5_9_5, 1_3_7_7, 6_9_6_9_3, 7, 4_4_8, 7_1_0_2_1, 1_9_6, 1_8_1_0_6, 1_4_3_7, 1_3_9_7_4, 1_0_8, 9_0_8_3, 4, 4_9_3_1_5, 7, 3_9, 8_6, 1_3_2_6, 2_7_9_3, 4_6_3_3_3, 4, 4_4_8, 1_9_6, 7_4_5_8_8, 7, 4_9_3_1_5, 7, 3_9, 2_1, 8_2_2, 3_8_4_7_0, 7_4, 2_1, 6_6_7_2_3, 6_2_4_8_0, 8, 2_2_0_5_0, 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.
								__lowerCamelCase    :    List[str] 	=			[
								    """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='moussaKam/mbarthez'       ,revision='c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'       ,sequences=_a       ,)







# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


a		=open  # noqa: we just need to have a builtin inside this module to test it properly




