"""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    :       Tuple					     =None

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

__lowerCAmelCase    :       Optional[int]					     ={"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

__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"""
        ),
    },
    """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    :       List[str]					     ={
    """moussaKam/mbarthez""": 1_0_2_4,
    """moussaKam/barthez""": 1_0_2_4,
    """moussaKam/barthez-orangesum-title""": 1_0_2_4,
}

__lowerCAmelCase    :       Union[str, Any]					     ="""▁"""





class  _A						(       lowerCAmelCase	):
      snake_case__			:   Optional[Any]							  =	VOCAB_FILES_NAMES
      snake_case__			:   List[str]							  =	PRETRAINED_VOCAB_FILES_MAP
      snake_case__			:   List[Any]							  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__			:   Optional[int]							  =	['input_ids', 'attention_mask']
      snake_case__			:   int							  =	BarthezTokenizer

      def __init__(						self		,       __lowerCAmelCase=None		,       __lowerCAmelCase=None		,       __lowerCAmelCase="<s>"		,       __lowerCAmelCase="</s>"		,       __lowerCAmelCase="</s>"		,       __lowerCAmelCase="<s>"		,       __lowerCAmelCase="<unk>"		,       __lowerCAmelCase="<pad>"		,       __lowerCAmelCase="<mask>"		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            lowercase														=	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		,       )

            lowercase														=	vocab_file
            lowercase														=	False if not self.vocab_file else True

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



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

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	[self.sep_token_id]
            lowercase														=	[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		,       __lowerCAmelCase		,       __lowerCAmelCase = 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
            lowercase														=	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"""






from ..utils import DummyObject, requires_backends





class  _A						(       metaclass=lowerCAmelCase	):
      snake_case__			:   Optional[int]							  =	['torch', 'torchsde']

      def __init__(						self		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



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

      @classmethod
      def 				A__       (						cls		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



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







      @classmethod
      def 				A__       (						cls		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



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



