
"""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_    					=						None

SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_    					=						{
    '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_    					=						{
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

SCREAMING_SNAKE_CASE_    					=						'▁'
class      _UpperCAmelCase							(		lowerCAmelCase__							):
      __SCREAMING_SNAKE_CASE   :							int							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							Dict							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							Optional[Any]							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	["input_ids", "attention_mask"]
      __SCREAMING_SNAKE_CASE   :							Tuple							      =	BarthezTokenizer




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

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

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




      def     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					List[int]:

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




      def     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					List[int]:
          UpperCAmelCase									=					[self.sep_token_id]
          UpperCAmelCase									=					[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   ,       lowercase_   ,       lowercase_ = 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(_SCREAMING_SNAKE_CASE							):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
              return
          UpperCAmelCase									=					os.path.join(
              _SCREAMING_SNAKE_CASE   ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

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

          return (out_vocab_file,)





"""simple docstring"""

def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    return number | (1 << position)




def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    return number & ~(1 << position)




def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    return number ^ (1 << position)




def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      bool:






    """simple docstring"""




    return ((number >> position) & 1) == 1




def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    return int((number & (1 << position)) != 0 )


if __name__ == "__main__":
   import doctest

   doctest.testmod()



