






"""simple docstring"""




import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
 from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
 _snake_case          =   get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
 from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

_snake_case          =   12_8022
_snake_case          =   12_8028






@require_sentencepiece
class        UpperCamelCase			(	snake_case_		,     unittest.TestCase      ):
 UpperCamelCase					:       str			=					MaMaaaTokenizer
 UpperCamelCase					:       str			=					False
 UpperCamelCase					:       Any			=					False
 UpperCamelCase					:       Tuple			=					True


 def _lowercase	(     self		:						int							)					->       Tuple:
   super().setUp()

   _a  :       List[Any]             =	["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
   _a  :       int             =	dict(zip(UpperCAmelCase__							,						range(len(UpperCAmelCase__							)							)							)							)
   _a  :       List[Any]             =	Path(self.tmpdirname							)
   save_json(UpperCAmelCase__							,						save_dir / VOCAB_FILES_NAMES["""vocab_file"""]							)
   if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
     copyfile(UpperCAmelCase__							,						save_dir / VOCAB_FILES_NAMES["""spm_file"""]							)

   _a  :       Union[str, Any]             =	MaMaaaTokenizer.from_pretrained(self.tmpdirname							)
   tokenizer.save_pretrained(self.tmpdirname							)


 def _lowercase	(     self		:						Dict							,						**UpperCAmelCase__		:						List[str]							)					->       Optional[int]:
   return MaMaaaTokenizer.from_pretrained(self.tmpdirname							,						**UpperCAmelCase__							)


 def _lowercase	(     self		:						List[str]							,						UpperCAmelCase__		:						int							)					->       List[str]:
   return (
       "This is a test",
       "This is a test",
   )


 def _lowercase	(     self		:						Tuple							)					->       str:
   _a  :       List[Any]             =	"""</s>"""
   _a  :       List[str]             =	0

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


 def _lowercase	(     self		:						str							)					->       List[str]:
   _a  :       Dict             =	self.get_tokenizer()
   _a  :       Dict             =	list(tokenizer.get_vocab().keys()							)

   self.assertEqual(vocab_keys[0]							,						"""</s>"""							)
   self.assertEqual(vocab_keys[1]							,						"""<unk>"""							)
   self.assertEqual(vocab_keys[-1]							,						"""<s>"""							)
   self.assertEqual(len(UpperCAmelCase__							)							,						tokenizer.vocab_size + len(tokenizer.get_added_vocab()							)							)


 @unittest.skip("""Skip this test while all models are still to be uploaded."""							)
 def _lowercase	(     self		:						Optional[Any]							)					->       Union[str, Any]:
   pass


 def _lowercase	(     self		:						List[Any]							)					->       Optional[int]:
   _a  :       Optional[Any]             =	self.get_tokenizer()

   _a  :       Any             =	tokenizer.tokenize("""This is a test"""							)
   self.assertListEqual(UpperCAmelCase__							,						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)							,						[2, 3, 4, 5, 6]							,						)

   _a  :       List[str]             =	tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]							)
   self.assertListEqual(UpperCAmelCase__							,						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

   _a  :       List[Any]             =	tokenizer.convert_tokens_to_string(UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						"""This is a test"""							)







 @slow
 def _lowercase	(     self		:						Any							)					->       int:
   # fmt: off
   _a  :       Optional[int]             =	{"""input_ids""": [[128022, 110108, 397, 11, 38272, 2247, 124811, 285, 18105, 1586, 207, 7, 39534, 4428, 397, 1019, 18105, 1586, 207, 7, 41337, 16786, 241, 7, 20214, 17, 125690, 10398, 7, 44378, 58069, 68342, 7798, 7343, 11, 299, 33310, 4, 158, 37350, 94077, 4569, 299, 33310, 90, 4, 52840, 290, 4, 31270, 112, 299, 682, 4, 52840, 39953, 14079, 193, 52519, 90894, 17894, 120697, 11, 40445, 551, 17, 1019, 52519, 90894, 17756, 963, 11, 40445, 480, 17, 9792, 1120, 5173, 1393, 6240, 16786, 241, 120996, 28, 1245, 1393, 118240, 11123, 1019, 93612, 2691, 10618, 98058, 120409, 1928, 279, 4, 40683, 367, 178, 207, 1019, 103, 103121, 506, 65296, 5, 2], [128022, 21217, 367, 117, 125450, 128, 719, 7, 7308, 40, 93612, 12669, 1116, 16704, 71, 17785, 3699, 15592, 35, 144, 9584, 241, 11943, 713, 950, 799, 2247, 88427, 150, 149, 118813, 120706, 1019, 106906, 81518, 28, 1224, 22799, 397, 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], [128022, 1658, 123311, 5155, 5578, 4722, 279, 14947, 2366, 1120, 1197, 14, 1348, 9232, 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]], """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, 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, 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=UpperCAmelCase__							,						model_name="""facebook/m2m100_418M"""							,						revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""							,						)







@require_torch
@require_sentencepiece
@require_tokenizers
class        UpperCamelCase			(	unittest.TestCase      ):
 UpperCamelCase					:       Dict			=					'''facebook/m2m100_418M'''
 UpperCamelCase					:       Tuple			=					[
     '''In my opinion, there are two levels of response from the French government.''',
     '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
 ]
 UpperCamelCase					:       Dict			=					[
     '''Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.''',
     '''L\'affaire NSA souligne l\'absence totale de débat sur le renseignement''',
 ]

 # fmt: off
 UpperCamelCase					:       int			=					[EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]


 @classmethod
 def _lowercase	(     cls		:						int							)					->       Any:
   _a  :       MaMaaaTokenizer             =	MaMaaaTokenizer.from_pretrained(
       cls.checkpoint_name							,						src_lang="""en"""							,						tgt_lang="""fr"""							)
   _a  :       Any             =	1
   return cls


 def _lowercase	(     self		:						str							)					->       List[Any]:
   self.assertEqual(self.tokenizer.get_lang_id("""ar"""							)							,						128006							)
   self.assertEqual(self.tokenizer.get_lang_id("""en"""							)							,						128022							)
   self.assertEqual(self.tokenizer.get_lang_id("""ro"""							)							,						128076							)
   self.assertEqual(self.tokenizer.get_lang_id("""mr"""							)							,						128063							)


 def _lowercase	(     self		:						Optional[Any]							)					->       Dict:
   _a  :       str             =	self.tokenizer.get_vocab()
   self.assertEqual(len(UpperCAmelCase__							)							,						self.tokenizer.vocab_size							)
   self.assertEqual(vocab["""<unk>"""]							,						3							)
   self.assertIn(self.tokenizer.get_lang_token("""en"""							)							,						UpperCAmelCase__							)


 def _lowercase	(     self		:						Any							)					->       Any:
   _a  :       List[Any]             =	"""en"""
   _a  :       Dict             =	self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
   self.assertListEqual(self.expected_src_tokens							,						UpperCAmelCase__							)


 def _lowercase	(     self		:						int							)					->       Dict:
   self.assertIn(UpperCAmelCase__							,						self.tokenizer.all_special_ids							)
   # fmt: off
   _a  :       Dict             =	[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
   # fmt: on
   _a  :       int             =	self.tokenizer.decode(UpperCAmelCase__							,						skip_special_tokens=UpperCAmelCase__							)
   _a  :       Any             =	self.tokenizer.decode(generated_ids[1:]							,						skip_special_tokens=UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						UpperCAmelCase__							)
   self.assertNotIn(self.tokenizer.eos_token							,						UpperCAmelCase__							)


 def _lowercase	(     self		:						str							)					->       Any:
   _a  :       Any             =	tempfile.mkdtemp()
   _a  :       Any             =	self.tokenizer.lang_token_to_id
   self.tokenizer.save_pretrained(UpperCAmelCase__							)
   _a  :       Dict             =	MaMaaaTokenizer.from_pretrained(UpperCAmelCase__							)
   self.assertDictEqual(new_tok.lang_token_to_id							,						UpperCAmelCase__							)


 @require_torch
 def _lowercase	(     self		:						Optional[int]							)					->       Dict:
   _a  :       List[str]             =	"""en"""
   _a  :       Tuple             =	"""fr"""

   _a  :       Optional[Any]             =	self.tokenizer(self.src_text							,						text_target=self.tgt_text							,						padding=UpperCAmelCase__							,						return_tensors="""pt"""							)

   _a  :       str             =	shift_tokens_right(
       batch["""labels"""]							,						self.tokenizer.pad_token_id							,						self.tokenizer.eos_token_id							)

   for k in batch:
     _a  :       Optional[int]             =	batch[k].tolist()
   # batch = {k: v.tolist() for k,v in batch.items()}
   # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
   # batch.decoder_inputs_ids[0][0] ==
   assert batch.input_ids[1][0] == EN_CODE
   assert batch.input_ids[1][-1] == 2
   assert batch.labels[1][0] == FR_CODE
   assert batch.labels[1][-1] == 2
   assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]


 @require_torch
 def _lowercase	(     self		:						Tuple							)					->       List[Any]:
   _a  :       Optional[int]             =	"""mr"""
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id("""mr"""							)]							)
   self.assertListEqual(self.tokenizer.suffix_tokens							,						[self.tokenizer.eos_token_id]							)

   _a  :       Tuple             =	"""zh"""
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id("""zh"""							)]							)
   self.assertListEqual(self.tokenizer.suffix_tokens							,						[self.tokenizer.eos_token_id]							)


 @require_torch
 def _lowercase	(     self		:						List[Any]							)					->       List[Any]:
   _a  :       Union[str, Any]             =	"""mr"""
   self.tokenizer._switch_to_target_mode()
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id("""mr"""							)]							)
   self.assertListEqual(self.tokenizer.suffix_tokens							,						[self.tokenizer.eos_token_id]							)
   self.tokenizer._switch_to_input_mode()
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang							)]							)

   _a  :       Tuple             =	"""zh"""
   self.tokenizer._switch_to_target_mode()
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id("""zh"""							)]							)
   self.assertListEqual(self.tokenizer.suffix_tokens							,						[self.tokenizer.eos_token_id]							)
   self.tokenizer._switch_to_input_mode()
   self.assertListEqual(self.tokenizer.prefix_tokens							,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang							)]							)







 @require_torch
 def _lowercase	(     self		:						Union[str, Any]							)					->       Any:
   _a  :       Dict             =	self.tokenizer._build_translation_inputs("""A test"""							,						return_tensors="""pt"""							,						src_lang="""en"""							,						tgt_lang="""ar"""							)

   self.assertEqual(
       nested_simplify(UpperCAmelCase__							)							,						{
           # en_XX, A, test, EOS
           """input_ids""": [[128022, 58, 4183, 2]],
           """attention_mask""": [[1, 1, 1, 1]],
           # ar_AR
           """forced_bos_token_id""": 128006,
       }							,						)









"""simple docstring"""




import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


_snake_case          =   logging.get_logger(__name__)

_snake_case          =   {'vocab_file': 'spiece.model'}

_snake_case          =   {
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    }
}






class        UpperCamelCase			(	snake_case_      ):


 def __init__(     self		:						Tuple							,						UpperCAmelCase__		:						Optional[Any]							,						UpperCAmelCase__		:						int=False							,						UpperCAmelCase__		:						Dict=True							,						UpperCAmelCase__		:						Union[str, Any]=False							,						UpperCAmelCase__		:						Dict="<s>"							,						UpperCAmelCase__		:						Any="</s>"							,						UpperCAmelCase__		:						Any="<unk>"							,						UpperCAmelCase__		:						int="<sep>"							,						UpperCAmelCase__		:						Tuple="<pad>"							,						UpperCAmelCase__		:						Any="<cls>"							,						UpperCAmelCase__		:						Optional[Any]="<mask>"							,						UpperCAmelCase__		:						int=["<eop>", "<eod>"]							,						UpperCAmelCase__		:						Optional[Dict[str, Any]] = None							,						**UpperCAmelCase__		:						List[str]							,						)					->       None:
   _a  :       Optional[int]             =	AddedToken(UpperCAmelCase__							,						lstrip=UpperCAmelCase__							,						rstrip=UpperCAmelCase__							) if isinstance(UpperCAmelCase__							,						UpperCAmelCase__							) else mask_token

   _a  :       Union[str, Any]             =	{} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       do_lower_case=UpperCAmelCase__							,						remove_space=UpperCAmelCase__							,						keep_accents=UpperCAmelCase__							,						bos_token=UpperCAmelCase__							,						eos_token=UpperCAmelCase__							,						unk_token=UpperCAmelCase__							,						sep_token=UpperCAmelCase__							,						pad_token=UpperCAmelCase__							,						cls_token=UpperCAmelCase__							,						mask_token=UpperCAmelCase__							,						additional_special_tokens=UpperCAmelCase__							,						sp_model_kwargs=self.sp_model_kwargs							,						**UpperCAmelCase__							,						)

   _a  :       Optional[Any]             =	3

   _a  :       Tuple             =	do_lower_case
   _a  :       Tuple             =	remove_space
   _a  :       Tuple             =	keep_accents
   _a  :       Tuple             =	vocab_file

   _a  :       Any             =	spm.SentencePieceProcessor(**self.sp_model_kwargs							)
   self.sp_model.Load(UpperCAmelCase__							)

   try:
     import jieba
   except ModuleNotFoundError as error:
     raise error.__class__(
         """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
         """See https://pypi.org/project/jieba/ for installation."""							)
   _a  :       int             =	jieba
   _a  :       Tuple             =	str.maketrans(""" \n"""							,						"""\u2582\u2583"""							)


 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def _lowercase	(     self		:						Optional[Any]							)					->       Any:
   return len(self.sp_model							)


 def _lowercase	(     self		:						str							)					->       Union[str, Any]:
   _a  :       int             =	{self.convert_ids_to_tokens(UpperCAmelCase__							): i for i in range(self.vocab_size							)}
   vocab.update(self.added_tokens_encoder							)
   return vocab


 def __getstate__(     self		:						Tuple							)					->       List[str]:
   _a  :       Tuple             =	self.__dict__.copy()
   _a  :       Tuple             =	None
   return state


 def __setstate__(     self		:						Any							,						UpperCAmelCase__		:						Dict							)					->       Dict:
   _a  :       Tuple             =	d

   # for backward compatibility
   if not hasattr(self							,						"""sp_model_kwargs"""							):
     _a  :       Tuple             =	{}

   _a  :       int             =	spm.SentencePieceProcessor(**self.sp_model_kwargs							)
   self.sp_model.Load(self.vocab_file							)


 def _lowercase	(     self		:						List[str]							,						UpperCAmelCase__		:						Union[str, Any]							)					->       Dict:
   if self.remove_space:
     _a  :       Optional[int]             =	""" """.join(inputs.strip().split()							)
   else:
     _a  :       List[Any]             =	inputs
   _a  :       int             =	outputs.replace("""``"""							,						"""\""""							).replace("""''"""							,						"""\""""							)

   if not self.keep_accents:
     _a  :       Optional[Any]             =	unicodedata.normalize("""NFKD"""							,						UpperCAmelCase__							)
     _a  :       Dict             =	"""""".join([c for c in outputs if not unicodedata.combining(UpperCAmelCase__							)]							)
   if self.do_lower_case:
     _a  :       Union[str, Any]             =	outputs.lower()

   return outputs


 def _lowercase	(     self		:						List[str]							,						UpperCAmelCase__		:						str							)					->       List[str]:
   _a  :       str             =	self.preprocess_text(UpperCAmelCase__							)
   _a  :       Dict             =	self.sp_model.encode(UpperCAmelCase__							,						out_type=UpperCAmelCase__							)
   _a  :       Union[str, Any]             =	[]
   for piece in pieces:
     if len(UpperCAmelCase__							) > 1 and piece[-1] == str(""","""							) and piece[-2].isdigit():
       _a  :       Dict             =	self.sp_model.EncodeAsPieces(piece[:-1].replace(UpperCAmelCase__							,						""""""							)							)
       if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0]							) == 1:
           _a  :       Dict             =	cur_pieces[1:]
         else:
           _a  :       Any             =	cur_pieces[0][1:]
       cur_pieces.append(piece[-1]							)
       new_pieces.extend(UpperCAmelCase__							)
     else:
       new_pieces.append(UpperCAmelCase__							)

   return new_pieces


 def _lowercase	(     self		:						Union[str, Any]							,						UpperCAmelCase__		:						int							)					->       int:
   return self.sp_model.PieceToId(UpperCAmelCase__							)


 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						Optional[Any]							)					->       Any:
   return self.sp_model.IdToPiece(UpperCAmelCase__							)


 def _lowercase	(     self		:						Any							,						UpperCAmelCase__		:						Any							)					->       Dict:
   _a  :       Dict             =	"""""".join(UpperCAmelCase__							).replace(UpperCAmelCase__							,						""" """							).strip()
   return out_string


 def _lowercase	(     self		:						Any							,						UpperCAmelCase__		:						List[int]							,						UpperCAmelCase__		:						Optional[List[int]] = None							)					->       List[int]:
   _a  :       Optional[Any]             =	[self.sep_token_id]
   _a  :       Dict             =	[self.cls_token_id]
   if token_ids_a is None:
     return token_ids_a + sep + cls
   return token_ids_a + sep + token_ids_a + sep + cls


 def _lowercase	(     self		:						Tuple							,						UpperCAmelCase__		:						List[int]							,						UpperCAmelCase__		:						Optional[List[int]] = None							,						UpperCAmelCase__		:						bool = False							)					->       List[int]:

   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=UpperCAmelCase__							,						token_ids_a=UpperCAmelCase__							,						already_has_special_tokens=UpperCAmelCase__							)

   if token_ids_a is not None:
     return ([0] * len(UpperCAmelCase__							)) + [1] + ([0] * len(UpperCAmelCase__							)) + [1, 1]
   return ([0] * len(UpperCAmelCase__							)) + [1, 1]


 def _lowercase	(     self		:						str							,						UpperCAmelCase__		:						List[int]							,						UpperCAmelCase__		:						Optional[List[int]] = None							)					->       List[int]:
   _a  :       Any             =	[self.sep_token_id]
   _a  :       Optional[Any]             =	[2]

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


 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						str							,						UpperCAmelCase__		:						Optional[str] = None							)					->       Tuple[str]:
   if not os.path.isdir(UpperCAmelCase__							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
   _a  :       Union[str, Any]             =	os.path.join(
       UpperCAmelCase__							,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

   if os.path.abspath(self.vocab_file							) != os.path.abspath(UpperCAmelCase__							) and os.path.isfile(self.vocab_file							):
     copyfile(self.vocab_file							,						UpperCAmelCase__							)
   elif not os.path.isfile(self.vocab_file							):
     with open(UpperCAmelCase__							,						"""wb"""							) as fi:
       _a  :       Optional[Any]             =	self.sp_model.serialized_model_proto()
       fi.write(UpperCAmelCase__							)

   return (out_vocab_file,)







 def _lowercase	(     self		:						Any							,						*UpperCAmelCase__		:						List[str]							,						**UpperCAmelCase__		:						List[str]							)					->       List[str]:
   _a  :       Tuple             =	super()._decode(*UpperCAmelCase__							,						**UpperCAmelCase__							)
   _a  :       Optional[Any]             =	text.replace(""" """							,						""""""							).replace("""\u2582"""							,						""" """							).replace("""\u2583"""							,						"""\n"""							)
   return text

