


"""simple docstring"""






import os
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 logging


_lowerCAmelCase							:    str					   =	logging.get_logger(__name__)

_lowerCAmelCase							:    int					   =	{'''vocab_file''': '''sentencepiece.bpe.model'''}

_lowerCAmelCase							:    Tuple					   =	{
    '''vocab_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'''
        ),
    },
}

_lowerCAmelCase							:    Optional[int]					   =	{
    '''moussaKam/mbarthez''': 1024,
    '''moussaKam/barthez''': 1024,
    '''moussaKam/barthez-orangesum-title''': 1024,
}

_lowerCAmelCase							:    Union[str, Any]					   =	'''▁'''




class 							A_      (       _a ):
  lowerCAmelCase__      			=	VOCAB_FILES_NAMES
  lowerCAmelCase__      			=	PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase__      			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCAmelCase__      			=	['input_ids', 'attention_mask']


  def __init__(			self:						Tuple							,__lowerCAmelCase:						str							,__lowerCAmelCase:						Union[str, Any]="<s>"							,__lowerCAmelCase:						str="</s>"							,__lowerCAmelCase:						Any="</s>"							,__lowerCAmelCase:						Tuple="<s>"							,__lowerCAmelCase:						Dict="<unk>"							,__lowerCAmelCase:						Optional[Any]="<pad>"							,__lowerCAmelCase:						Any="<mask>"							,__lowerCAmelCase:						Optional[Dict[str, Any]] = None							,**__lowerCAmelCase:						Union[str, Any]							,):







     '''simple docstring'''







     _lowerCamelCase   :				Union[str, Any]							=     AddedToken(__lowerCAmelCase							,lstrip=__lowerCAmelCase							,rstrip=__lowerCAmelCase    ) if isinstance(__lowerCAmelCase							,__lowerCAmelCase    ) else mask_token

     _lowerCamelCase   :				Any							=     {} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         bos_token=__lowerCAmelCase							,eos_token=__lowerCAmelCase							,unk_token=__lowerCAmelCase							,sep_token=__lowerCAmelCase							,cls_token=__lowerCAmelCase							,pad_token=__lowerCAmelCase							,mask_token=__lowerCAmelCase							,sp_model_kwargs=self.sp_model_kwargs							,**__lowerCAmelCase							,)

     _lowerCamelCase   :				Optional[Any]							=     vocab_file
     _lowerCamelCase   :				Optional[int]							=     spm.SentencePieceProcessor(**self.sp_model_kwargs    )
     self.sp_model.Load(str(__lowerCAmelCase    )    )

     _lowerCamelCase   :				List[Any]							=     {"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

     _lowerCamelCase   :				int							=     len(self.sp_model    ) - 1
     _lowerCamelCase   :				Dict							=     {v: k for k, v in self.fairseq_tokens_to_ids.items()}


  def 							_lowercase					(			self:						Tuple							,__lowerCAmelCase:						List[int]							,__lowerCAmelCase:						Optional[List[int]] = None    ):







     '''simple docstring'''







     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     _lowerCamelCase   :				Optional[int]							=     [self.cls_token_id]
     _lowerCamelCase   :				Tuple							=     [self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						List[int]							,__lowerCAmelCase:						Optional[List[int]] = None							,__lowerCAmelCase:						bool = False    ):







     '''simple docstring'''







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

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


  def 							_lowercase					(			self:						List[Any]							,__lowerCAmelCase:						List[int]							,__lowerCAmelCase:						Optional[List[int]] = None    ):







     '''simple docstring'''







     _lowerCamelCase   :				Any							=     [self.sep_token_id]
     _lowerCamelCase   :				Dict							=     [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 + sep + token_ids_a + sep    ) * [0]


  @property
  def 							_lowercase					(			self:						Optional[int]    ):







     '''simple docstring'''







     return len(self.sp_model    )


  def 							_lowercase					(			self:						Optional[Any]    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[Any]							=     {self.convert_ids_to_tokens(__lowerCAmelCase    ): i for i in range(self.vocab_size    )}
     vocab.update(self.added_tokens_encoder    )
     return vocab


  def 							_lowercase					(			self:						Optional[Any]							,__lowerCAmelCase:						str    ):







     '''simple docstring'''







     return self.sp_model.encode(__lowerCAmelCase							,out_type=__lowerCAmelCase    )


  def 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						int    ):







     '''simple docstring'''







     if token in self.fairseq_tokens_to_ids:
        return self.fairseq_tokens_to_ids[token]
     _lowerCamelCase   :				Tuple							=     self.sp_model.PieceToId(__lowerCAmelCase    )

     return spm_id if spm_id else self.unk_token_id


  def 							_lowercase					(			self:						List[str]							,__lowerCAmelCase:						Dict    ):







     '''simple docstring'''







     if index in self.fairseq_ids_to_tokens:
        return self.fairseq_ids_to_tokens[index]
     return self.sp_model.IdToPiece(__lowerCAmelCase    )


  def 							_lowercase					(			self:						str							,__lowerCAmelCase:						Dict    ):







     '''simple docstring'''







     _lowerCamelCase   :				Dict							=     []
     _lowerCamelCase   :				List[str]							=     ""
     _lowerCamelCase   :				Tuple							=     False
     for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
           if not prev_is_special:
              out_string += " "
           out_string += self.sp_model.decode(__lowerCAmelCase    ) + token
           _lowerCamelCase   :				int							=     True
           _lowerCamelCase   :				Tuple							=     []
        else:
           current_sub_tokens.append(__lowerCAmelCase    )
           _lowerCamelCase   :				Any							=     False
     out_string += self.sp_model.decode(__lowerCAmelCase    )
     return out_string.strip()


  def __getstate__(			self:						str    ):







     '''simple docstring'''







     _lowerCamelCase   :				Dict							=     self.__dict__.copy()
     _lowerCamelCase   :				Any							=     None
     return state


  def __setstate__(			self:						Optional[Any]							,__lowerCAmelCase:						Tuple    ):







     '''simple docstring'''







     _lowerCamelCase   :				Dict							=     d

     # for backward compatibility
     if not hasattr(self							,"sp_model_kwargs"    ):
        _lowerCamelCase   :				List[Any]							=     {}

     _lowerCamelCase   :				Union[str, Any]							=     spm.SentencePieceProcessor(**self.sp_model_kwargs    )
     self.sp_model.Load(self.vocab_file    )






  def 							_lowercase					(			self:						int							,__lowerCAmelCase:						str							,__lowerCAmelCase:						Optional[str] = None    ):







     '''simple docstring'''







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

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

     return (out_vocab_file,)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCamelCase		       =      {}


try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase		       =      ["""MLukeTokenizer"""]

if TYPE_CHECKING:
						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_mluke import MLukeTokenizer


else:
						import sys

						lowerCamelCase		       =      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


