


'''simple docstring'''


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_barthez import BarthezTokenizer
else:
     __magic_name__			=      None

__magic_name__			=      logging.get_logger(__name__)

__magic_name__			=      {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__magic_name__			=      {
    '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'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

__magic_name__			=      {
    'moussaKam/mbarthez': 1_024,
    'moussaKam/barthez': 1_024,
    'moussaKam/barthez-orangesum-title': 1_024,
}

__magic_name__			=      '▁'



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  a_  					=							VOCAB_FILES_NAMES
  a_  					=							PRETRAINED_VOCAB_FILES_MAP
  a_  					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_  					=							["""input_ids""", """attention_mask"""]
  a_  					=							BarthezTokenizer






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

        '''simple docstring'''




        A_						:  int          =				AddedToken(_a	,lstrip=_a	,rstrip=_a ) if isinstance(_a	,_a ) else mask_token

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

        A_						:  Any          =				vocab_file
        A_						:  Any          =				False if not self.vocab_file else True






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

        '''simple docstring'''




        if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        A_						:  int          =				[self.cls_token_id]
        A_						:  List[Any]          =				[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep






  def        _a							(							self :       List[str]	,_a :       List[int]	,_a :       Optional[List[int]] = None ):

        '''simple docstring'''




        A_						:  Optional[Any]          =				[self.sep_token_id]
        A_						:  str          =				[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]






  def        _a							(							self :       Optional[Any]	,_a :       str	,_a :       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(_a ):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
              return
        A_						:  Optional[Any]          =				os.path.join(
            _a	,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

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

        return (out_vocab_file,)




'''simple docstring'''


from ..utils import DummyObject, requires_backends



class 	__lowerCAmelCase		(							metaclass=__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  a_  					=							["""torch""", """torchsde"""]






  def __init__(							self :       Any	,*_a :       Union[str, Any]	,**_a :       Optional[int] ):

        '''simple docstring'''




        requires_backends(self	,["""torch""", """torchsde"""] )






  @classmethod
  def        _a							(							cls :       Optional[int]	,*_a :       List[Any]	,**_a :       Any ):

        '''simple docstring'''




        requires_backends(cls	,["""torch""", """torchsde"""] )






  @classmethod
  def        _a							(							cls :       List[Any]	,*_a :       Tuple	,**_a :       Union[str, Any] ):

        '''simple docstring'''




        requires_backends(cls	,["""torch""", """torchsde"""] )
