






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_big_bird import BigBirdTokenizer
else:
		UpperCamelCase 				=	None

UpperCamelCase 				=	logging.get_logger(__name__)
UpperCamelCase 				=	{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase 				=	{
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    },
    '''tokenizer_file''': {
        '''google/bigbird-roberta-base''': (
            '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCamelCase 				=	{
    '''google/bigbird-roberta-base''': 4_096,
    '''google/bigbird-roberta-large''': 4_096,
    '''google/bigbird-base-trivia-itc''': 4_096,
}


UpperCamelCase 				=	'''▁'''



class       __UpperCAmelCase		(lowerCamelCase_    ):
			__snake_case				:      List[Any] 						=							VOCAB_FILES_NAMES
			__snake_case				:      str 						=							PRETRAINED_VOCAB_FILES_MAP
			__snake_case				:      Dict 						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__snake_case				:      str 						=							BigBirdTokenizer
			__snake_case				:      Tuple 						=							["input_ids", "attention_mask"]
			__snake_case				:      int 						=							[]







			def __init__(	self:  Dict      ,	UpperCAmelCase_:  Optional[Any]=None      ,	UpperCAmelCase_:  int=None      ,	UpperCAmelCase_:  Dict="<unk>"      ,	UpperCAmelCase_:  Optional[Any]="<s>"      ,	UpperCAmelCase_:  str="</s>"      ,	UpperCAmelCase_:  int="<pad>"      ,	UpperCAmelCase_:  Any="[SEP]"      ,	UpperCAmelCase_:  Any="[MASK]"      ,	UpperCAmelCase_:  Tuple="[CLS]"      ,	**UpperCAmelCase_:  Dict      ,	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else bos_token
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else eos_token
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else unk_token
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else pad_token
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else cls_token
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else sep_token

									# Mask token behave like a normal word, i.e. include the space before it
									_SCREAMING_SNAKE_CASE	      =  AddedToken(_lowercase      ,	lstrip=_lowercase      ,	rstrip=_lowercase     ) if isinstance(_lowercase      ,	_lowercase     ) else mask_token

									super().__init__(
									    _lowercase      ,	tokenizer_file=_lowercase      ,	bos_token=_lowercase      ,	eos_token=_lowercase      ,	unk_token=_lowercase      ,	sep_token=_lowercase      ,	pad_token=_lowercase      ,	cls_token=_lowercase      ,	mask_token=_lowercase      ,	**_lowercase      ,	)

									_SCREAMING_SNAKE_CASE	      =  vocab_file
									_SCREAMING_SNAKE_CASE	      =  False if not self.vocab_file else True







			def 							UpperCamelCase      (	self:  Any      ,	UpperCAmelCase_:  List[int]      ,	UpperCAmelCase_:  Optional[List[int]] = None     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  [self.sep_token_id]
									_SCREAMING_SNAKE_CASE	      =  [self.cls_token_id]
									if token_ids_a is None:
															return cls + token_ids_a + sep
									return cls + token_ids_a + sep + token_ids_a + sep







			def 							UpperCamelCase      (	self:  Optional[Any]      ,	UpperCAmelCase_:  List[int]      ,	UpperCAmelCase_:  Optional[List[int]] = None      ,	UpperCAmelCase_:  bool = False     ):







									'''simple docstring'''




									if already_has_special_tokens:
															if token_ids_a is not None:
																					raise ValueError(
																					    """You should not supply a second sequence if the provided sequence of """
																					    """ids is already formatted with special tokens for the model."""     )
															return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

									if token_ids_a is None:
															return [1] + ([0] * len(_lowercase     )) + [1]
									return [1] + ([0] * len(_lowercase     )) + [1] + ([0] * len(_lowercase     )) + [1]







			def 							UpperCamelCase      (	self:  Union[str, Any]      ,	UpperCAmelCase_:  List[int]      ,	UpperCAmelCase_:  Optional[List[int]] = None     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  [self.sep_token_id]
									_SCREAMING_SNAKE_CASE	      =  [self.cls_token_id]

									if token_ids_a is None:
															return len(cls + token_ids_a + sep     ) * [0]
									return len(cls + token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]







			def 							UpperCamelCase      (	self:  Optional[int]      ,	UpperCAmelCase_:  str      ,	UpperCAmelCase_:  Optional[str] = None     ):







									'''simple docstring'''




									if not self.can_save_slow_tokenizer:
															raise ValueError(
															    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
															    """tokenizer."""     )

									if not os.path.isdir(_lowercase     ):
															logger.error(F'Vocabulary path ({save_directory}) should be a directory'     )
															return
									_SCREAMING_SNAKE_CASE	      =  os.path.join(
									    _lowercase      ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )

									if os.path.abspath(self.vocab_file     ) != os.path.abspath(_lowercase     ):
															copyfile(self.vocab_file      ,	_lowercase     )

									return (out_vocab_file,)


import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCamelCase			: str							   =		get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_sentencepiece_available():
   import sentencepiece as sp


__lowerCamelCase			: Any							   =		5
__lowerCamelCase			: Dict							   =		10







@require_sentencepiece
@require_tokenizers
class __snake_case				(						lowerCamelCase_   ,		unittest.TestCase		):
   lowerCAmelCase_														=							SpeechaTextTokenizer
   lowerCAmelCase_														=							False
   lowerCAmelCase_														=							True




   def 	__a						(    self			:				Tuple      ):



     """simple docstring"""






     super().setUp()

     SCREAMING_SNAKE_CASE__										=      sp.SentencePieceProcessor()
     spm_model.Load(_lowercase      )
     SCREAMING_SNAKE_CASE__										=      ["""<s>""", """<pad>""", """</s>""", """<unk>"""]

     vocab += [spm_model.IdToPiece(id_      ) for id_ in range(len(_lowercase      )      )]
     SCREAMING_SNAKE_CASE__										=      dict(zip(_lowercase       ,	range(len(_lowercase      )      )      )      )

     SCREAMING_SNAKE_CASE__										=      Path(self.tmpdirname      )
     save_json(_lowercase       ,	save_dir / VOCAB_FILES_NAMES["""vocab_file"""]      )
     if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
       copyfile(_lowercase       ,	save_dir / VOCAB_FILES_NAMES["""spm_file"""]      )

     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )
     tokenizer.save_pretrained(self.tmpdirname      )




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



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """<pad>"""
     SCREAMING_SNAKE_CASE__										=      1

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




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






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

     self.assertEqual(vocab_keys[0]       ,	"""<s>"""      )
     self.assertEqual(vocab_keys[1]       ,	"""<pad>"""      )
     self.assertEqual(vocab_keys[-1]       ,	"""j"""      )
     self.assertEqual(len(_lowercase      )       ,	10_01      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     self.assertEqual(self.get_tokenizer().vocab_size       ,	10_01      )




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""This is a test"""      )
     self.assertListEqual(_lowercase       ,	["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]      )

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(_lowercase      )       ,	[2_89, 50, 14, 1_74, 3_86]       ,	)

     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize("""I was born in 92000, and this is falsé."""      )
     self.assertListEqual(
         _lowercase       ,	[SPIECE_UNDERLINE + """I""", SPIECE_UNDERLINE + """was""", SPIECE_UNDERLINE + """b""", """or""", """n""", SPIECE_UNDERLINE + """in""", SPIECE_UNDERLINE + """""", """9""", """2""", """0""", """0""", """0""", """,""", SPIECE_UNDERLINE + """and""", SPIECE_UNDERLINE + """this""", SPIECE_UNDERLINE + """is""", SPIECE_UNDERLINE + """f""", """al""", """s""", """é""", """."""]       ,	)
     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_tokens_to_ids(_lowercase      )
     self.assertListEqual(_lowercase       ,	[12, 25, 88, 59, 28, 23, 11, 4, 6_06, 3_51, 3_51, 3_51, 7, 16, 70, 50, 76, 84, 10, 4, 8]      )

     SCREAMING_SNAKE_CASE__										=      tokenizer.convert_ids_to_tokens(_lowercase      )
     self.assertListEqual(
         _lowercase       ,	[SPIECE_UNDERLINE + """I""", SPIECE_UNDERLINE + """was""", SPIECE_UNDERLINE + """b""", """or""", """n""", SPIECE_UNDERLINE + """in""", SPIECE_UNDERLINE + """""", """<unk>""", """2""", """0""", """0""", """0""", """,""", SPIECE_UNDERLINE + """and""", SPIECE_UNDERLINE + """this""", SPIECE_UNDERLINE + """is""", SPIECE_UNDERLINE + """f""", """al""", """s""", """<unk>""", """."""]       ,	)




   @slow
   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      {"""input_ids""": [[37_91, 7_97, 31, 11, 64, 7_97, 31, 24_29, 4_33, 12, 11_76, 12, 20, 7_86, 9_15, 1_42, 24_13, 2_40, 37, 32_38, 7_97, 31, 11, 35, 93, 9_15, 1_42, 24_13, 2_40, 37, 55_40, 5_67, 12_76, 93, 37, 6_10, 40, 62, 4_55, 6_57, 10_42, 1_23, 7_80, 1_77, 37, 3_09, 2_41, 12_98, 5_14, 20, 2_92, 27_37, 1_14, 24_69, 2_41, 85, 64, 3_02, 5_48, 5_28, 4_23, 4, 5_09, 4_06, 4_23, 37, 6_01, 4, 7_77, 3_02, 5_48, 5_28, 4_23, 2_84, 4, 33_88, 5_11, 4_59, 4, 35_55, 40, 3_21, 3_02, 7_05, 4, 33_88, 5_11, 5_83, 3_26, 5, 5, 5, 62, 33_10, 5_60, 1_77, 26_80, 2_17, 15_08, 32, 31, 8_53, 4_18, 64, 5_83, 5_11, 16_05, 62, 35, 93, 5_60, 1_77, 26_80, 2_17, 15_08, 15_21, 64, 5_83, 5_11, 5_19, 62, 20, 15_15, 7_64, 20, 1_49, 2_61, 56_25, 79_72, 20, 55_40, 5_67, 12_76, 93, 39_25, 16_75, 11, 15, 8_02, 79_72, 5_76, 2_17, 15_08, 11, 35, 93, 12_53, 24_41, 15, 2_89, 6_52, 31, 4_16, 3_21, 38_42, 1_15, 40, 9_11, 8, 4_76, 6_19, 4, 3_80, 1_42, 4_23, 3_35, 2_40, 35, 93, 2_64, 8, 11, 3_35, 5_69, 4_20, 1_63, 5, 2], [2_60, 5_48, 5_28, 4_23, 20, 4_51, 20, 26_81, 11_53, 34_34, 20, 55_40, 37, 5_67, 1_26, 12_53, 24_41, 33_76, 4_49, 2_10, 4_31, 15_63, 1_77, 7_67, 55_40, 11, 12_03, 4_72, 11, 29_53, 6_85, 2_85, 3_64, 7_06, 11_53, 20, 67_99, 20, 28_69, 20, 44_64, 1_26, 40, 24_29, 20, 10_40, 8_66, 26_64, 4_18, 20, 3_18, 20, 17_26, 1_86, 20, 2_65, 5_22, 35, 93, 21_91, 46_34, 20, 10_40, 12, 67_99, 15, 2_28, 23_56, 1_42, 31, 11, 5, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_75, 26_66, 6_84, 15_82, 11_76, 12, 6_27, 1_49, 6_19, 20, 49_02, 5_63, 11, 20, 1_49, 2_61, 34_20, 23_56, 1_74, 1_42, 47_14, 1_31, 5, 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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 1]], """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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=_lowercase       ,	model_name="""facebook/s2t-small-mustc-en-de-st"""       ,	revision="""a14f04cf0776c02f62a8cb800cf7909e15ea23ad"""       ,	)







@require_sentencepiece
class __snake_case				(						unittest.TestCase		):
   lowerCAmelCase_														=							"valhalla/s2t_mustc_multilinguial_medium"

   lowerCAmelCase_														=							"C'est trop cool"
   lowerCAmelCase_														=							"Esto es genial"




   @classmethod
   def 	__a						(    cls			:				Any      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name      )
     return cls




   def 	__a						(    self			:				Dict      ):



     """simple docstring"""






     self.assertEqual(self.tokenizer.lang_code_to_id["""pt"""]       ,	4      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""ru"""]       ,	6      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""it"""]       ,	9      )
     self.assertEqual(self.tokenizer.lang_code_to_id["""de"""]       ,	11      )




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



     """simple docstring"""






     self.assertEqual(self.tokenizer.vocab_size       ,	1_00_00      )




   def 	__a						(    self			:				int      ):



     """simple docstring"""






     self.assertIn(_lowercase       ,	self.tokenizer.all_special_ids      )
     SCREAMING_SNAKE_CASE__										=      [ES_CODE, 4, 16_01, 47, 76_47, 2]
     SCREAMING_SNAKE_CASE__										=      self.tokenizer.decode(_lowercase       ,	skip_special_tokens=_lowercase      )
     SCREAMING_SNAKE_CASE__										=      self.tokenizer.decode(generated_ids[1:]       ,	skip_special_tokens=_lowercase      )
     self.assertEqual(_lowercase       ,	_lowercase      )
     self.assertNotIn(self.tokenizer.eos_token       ,	_lowercase      )




   def 	__a						(    self			:				Any      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """fr"""
     SCREAMING_SNAKE_CASE__										=      self.tokenizer(self.french_text      ).input_ids
     self.assertEqual(encoded[0]       ,	_lowercase      )
     self.assertEqual(encoded[-1]       ,	self.tokenizer.eos_token_id      )




   def 	__a						(    self			:				Optional[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      """fr"""
     self.assertListEqual(self.tokenizer.prefix_tokens       ,	[FR_CODE]      )

     SCREAMING_SNAKE_CASE__										=      """es"""
     self.assertListEqual(self.tokenizer.prefix_tokens       ,	[ES_CODE]      )
