


"""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:
  _lowerCAmelCase							:    Optional[Any]					   =	None

_lowerCAmelCase							:    Optional[int]					   =	logging.get_logger(__name__)

_lowerCAmelCase							:    Union[str, Any]					   =	{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCAmelCase							:    List[Any]					   =	{
    '''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'''
        ),
    },
}

_lowerCAmelCase							:    Dict					   =	{
    '''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']
  lowerCAmelCase__      			=	BarthezTokenizer


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







     '''simple docstring'''







     _lowerCamelCase   :				int							=     AddedToken(__lowerCAmelCase							,lstrip=__lowerCAmelCase							,rstrip=__lowerCAmelCase    ) if isinstance(__lowerCAmelCase							,__lowerCAmelCase    ) else mask_token

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

     _lowerCamelCase   :				Optional[int]							=     vocab_file
     _lowerCamelCase   :				Union[str, Any]							=     False if not self.vocab_file else True


  def 							_lowercase					(			self:						Dict							,__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   :				str							=     [self.cls_token_id]
     _lowerCamelCase   :				Optional[Any]							=     [self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep


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







     '''simple docstring'''







     _lowerCamelCase   :				str							=     [self.sep_token_id]
     _lowerCamelCase   :				List[Any]							=     [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 							_lowercase					(			self:						Union[str, Any]							,__lowerCAmelCase:						str							,__lowerCAmelCase:						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(__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    ):
        copyfile(self.vocab_file							,__lowerCAmelCase    )

     return (out_vocab_file,)






"""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_camembert import CamembertTokenizer
else:
							_UpperCamelCase					      =   None


_UpperCamelCase					      =   logging.get_logger(__name__)

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

_UpperCamelCase					      =   {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

_UpperCamelCase					      =   {
    'camembert-base': 512,
}

_UpperCamelCase					      =   '▁'
class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							List[str]									=		VOCAB_FILES_NAMES
				__snake_case :							Optional[int]									=		PRETRAINED_VOCAB_FILES_MAP
				__snake_case :							Dict									=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__snake_case :							List[str]									=		["""input_ids""", """attention_mask"""]
				__snake_case :							List[Any]									=		CamembertTokenizer




				def __init__(  self	:List[Any]    ,     __lowercase	:Optional[int]=None    ,     __lowercase	:str=None    ,     __lowercase	:Optional[Any]="<s>"    ,     __lowercase	:List[str]="</s>"    ,     __lowercase	:Tuple="</s>"    ,     __lowercase	:int="<s>"    ,     __lowercase	:Union[str, Any]="<unk>"    ,     __lowercase	:Optional[int]="<pad>"    ,     __lowercase	:Union[str, Any]="<mask>"    ,     __lowercase	:Tuple=["<s>NOTUSED", "</s>NOTUSED"]    ,     **__lowercase	:List[str]    ,     ):
											# Mask token behave like a normal word, i.e. include the space before it
											__lowerCamelCase   :   Optional[int]       =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    ,     sep_token=__lowercase    ,     cls_token=__lowercase    ,     unk_token=__lowercase    ,     pad_token=__lowercase    ,     mask_token=__lowercase    ,     additional_special_tokens=__lowercase    ,     **__lowercase    ,     )

											__lowerCamelCase   :   Any       =vocab_file
											__lowerCamelCase   :   Union[str, Any]       =False if not self.vocab_file else True




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

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




				def        __lowercase	(  self	:Tuple    ,     __lowercase	:List[int]    ,     __lowercase	:Optional[List[int]] = None      ):
											__lowerCamelCase   :   Any       =[self.sep_token_id]
											__lowerCamelCase   :   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        __lowercase	(  self	:List[Any]    ,     __lowercase	:str    ,     __lowercase	:Optional[str] = None      ):
											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
											__lowerCamelCase   :   List[str]       =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,)




