


'''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:
		_SCREAMING_SNAKE_CASE							: Optional[int]										=			None

_SCREAMING_SNAKE_CASE							: Optional[Any]										=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							: List[Any]										=			{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE							: Optional[int]										=			{
    '''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'''
        ),
    },
}

_SCREAMING_SNAKE_CASE							: Optional[Any]										=			{
    '''moussaKam/mbarthez''': 10_24,
    '''moussaKam/barthez''': 10_24,
    '''moussaKam/barthez-orangesum-title''': 10_24,
}

_SCREAMING_SNAKE_CASE							: Dict										=			'''▁'''






class 		_snake_case     (					snake_case_		):






						'''simple docstring'''







						__snake_case				=   VOCAB_FILES_NAMES
						__snake_case				=   PRETRAINED_VOCAB_FILES_MAP
						__snake_case				=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__snake_case				=   ['''input_ids''', '''attention_mask''']
						__snake_case				=   BarthezTokenizer







						def __init__(	self:						int   ,				__UpperCamelCase:						Union[str, Any]=None   ,				__UpperCamelCase:						Optional[Any]=None   ,				__UpperCamelCase:						Optional[Any]="<s>"   ,				__UpperCamelCase:						Optional[Any]="</s>"   ,				__UpperCamelCase:						Optional[Any]="</s>"   ,				__UpperCamelCase:						Tuple="<s>"   ,				__UpperCamelCase:						int="<unk>"   ,				__UpperCamelCase:						List[str]="<pad>"   ,				__UpperCamelCase:						Optional[int]="<mask>"   ,				**__UpperCamelCase:						Union[str, Any]   ,				)				->						List[Any]:
										# Mask token behave like a normal word, i.e. include the space before it
										__magic_name__					:       Tuple    							=							AddedToken(__snake_case   ,				lstrip=__snake_case   ,				rstrip=__snake_case  ) if isinstance(__snake_case   ,				__snake_case  ) else mask_token

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

										__magic_name__					:       str    							=							vocab_file
										__magic_name__					:       List[str]    							=							False if not self.vocab_file else True







						def lowerCAmelCase__			(	self:						List[Any]   ,				__UpperCamelCase:						List[int]   ,				__UpperCamelCase:						Optional[List[int]] = None  )				->						List[int]:

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







						def lowerCAmelCase__			(	self:						Tuple   ,				__UpperCamelCase:						List[int]   ,				__UpperCamelCase:						Optional[List[int]] = None  )				->						List[int]:
										__magic_name__					:       Tuple    							=							[self.sep_token_id]
										__magic_name__					:       Union[str, 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 lowerCAmelCase__			(	self:						Optional[int]   ,				__UpperCamelCase:						str   ,				__UpperCamelCase:						Optional[str] = None  )				->						Tuple[str]:
										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(__snake_case  ):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""  )
														return
										__magic_name__					:       int    							=							os.path.join(
										    __snake_case   ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )

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

										return (out_vocab_file,)






'''simple docstring'''






from ..utils import DummyObject, requires_backends




class 					UpperCAmelCase	(     metaclass=snake_case_  ):
      _lowercase:     List[Any]			=  ['''torch''', '''scipy''']




      def __init__(     self     :					Tuple     ,     *__snake_case     :					Dict     ,     **__snake_case     :					List[str]    )							-> str:
            requires_backends(self     ,     ["""torch""", """scipy"""]    )




      @classmethod
      def 							lowercase__       (     cls     :					str     ,     *__snake_case     :					List[str]     ,     **__snake_case     :					str    )							-> Tuple:
            requires_backends(cls     ,     ["""torch""", """scipy"""]    )




      @classmethod
      def 							lowercase__       (     cls     :					Optional[int]     ,     *__snake_case     :					int     ,     **__snake_case     :					Union[str, Any]    )							-> Optional[int]:
            requires_backends(cls     ,     ["""torch""", """scipy"""]    )






