
"""simple docstring"""




import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A__   :					Tuple							=   logging.get_logger(__name__)

A__   :					Union[str, Any]							=   {'vocab_file': 'sentencepiece.bpe.model'}

A__   :					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'
        ),
    },
}

A__   :					List[str]							=   {
    'moussaKam/mbarthez': 1_0_2_4,
    'moussaKam/barthez': 1_0_2_4,
    'moussaKam/barthez-orangesum-title': 1_0_2_4,
}

A__   :					List[str]							=   '▁'


class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       UpperCamelCase_   =		VOCAB_FILES_NAMES
       UpperCamelCase_   =		PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase_   =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase_   =		['''input_ids''', '''attention_mask''']
       def __init__(     self ,				A_ ,				A_="<s>" ,				A_="</s>" ,				A_="</s>" ,				A_="<s>" ,				A_="<unk>" ,				A_="<pad>" ,				A_="<mask>" ,				A_ = None ,				**A_ ,				)     ->	None:





         """simple docstring"""




         _lowercase:			Optional[int]       =     AddedToken(A_ ,				lstrip=A_ ,				rstrip=A_       ) if isinstance(A_ ,				A_       ) else mask_token

         _lowercase:			Union[str, Any]       =     {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=A_ ,				eos_token=A_ ,				unk_token=A_ ,				sep_token=A_ ,				cls_token=A_ ,				pad_token=A_ ,				mask_token=A_ ,				sp_model_kwargs=self.sp_model_kwargs ,				**A_ ,				)

         _lowercase:			Optional[Any]       =     vocab_file
         _lowercase:			Optional[int]       =     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
         self.sp_model.Load(str(A_       )       )

         _lowercase:			Union[str, Any]       =     {'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

         _lowercase:			Dict       =     len(self.sp_model       ) - 1
         _lowercase:			Any       =     {v: k for k, v in self.fairseq_tokens_to_ids.items()}
       def 							lowercase_							(     self ,				A_ ,				A_ = None       )     ->	List[int]:





         """simple docstring"""




         if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         _lowercase:			Any       =     [self.cls_token_id]
         _lowercase:			Dict       =     [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep
       def 							lowercase_							(     self ,				A_ ,				A_ = None ,				A_ = False       )     ->	List[int]:





         """simple docstring"""




         if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=A_ ,				token_ids_a=A_ ,				already_has_special_tokens=A_       )

         if token_ids_a is None:
           return [1] + ([0] * len(A_       )) + [1]
         return [1] + ([0] * len(A_       )) + [1, 1] + ([0] * len(A_       )) + [1]
       def 							lowercase_							(     self ,				A_ ,				A_ = None       )     ->	List[int]:





         """simple docstring"""




         _lowercase:			Optional[int]       =     [self.sep_token_id]
         _lowercase:			List[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]
       @property
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         return len(self.sp_model       )
       def 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         _lowercase:			int       =     {self.convert_ids_to_tokens(A_       ): i for i in range(self.vocab_size       )}
         vocab.update(self.added_tokens_encoder       )
         return vocab
       def 							lowercase_							(     self ,				A_       )     ->	List[str]:





         """simple docstring"""




         return self.sp_model.encode(A_ ,				out_type=A_       )
       def 							lowercase_							(     self ,				A_       )     ->	Dict:





         """simple docstring"""




         if token in self.fairseq_tokens_to_ids:
           return self.fairseq_tokens_to_ids[token]
         _lowercase:			Optional[int]       =     self.sp_model.PieceToId(A_       )

         return spm_id if spm_id else self.unk_token_id
       def 							lowercase_							(     self ,				A_       )     ->	List[Any]:





         """simple docstring"""




         if index in self.fairseq_ids_to_tokens:
           return self.fairseq_ids_to_tokens[index]
         return self.sp_model.IdToPiece(A_       )
       def 							lowercase_							(     self ,				A_       )     ->	Dict:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     []
         _lowercase:			List[Any]       =     ''''''
         _lowercase:			Tuple       =     False
         for token in tokens:
           # make sure that special tokens are not decoded using sentencepiece model
           if token in self.all_special_tokens:
             if not prev_is_special:
               out_string += " "
             out_string += self.sp_model.decode(A_       ) + token
             _lowercase:			int       =     True
             _lowercase:			Tuple       =     []
           else:
             current_sub_tokens.append(A_       )
             _lowercase:			List[Any]       =     False
         out_string += self.sp_model.decode(A_       )
         return out_string.strip()
       def __getstate__(     self       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			Dict       =     self.__dict__.copy()
         _lowercase:			str       =     None
         return state
       def __setstate__(     self ,				A_       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			Tuple       =     d

         # for backward compatibility
         if not hasattr(self ,				'''sp_model_kwargs'''       ):
           _lowercase:			str       =     {}

         _lowercase:			Optional[Any]       =     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
         self.sp_model.Load(self.vocab_file       )



       def 							lowercase_							(     self ,				A_ ,				A_ = None       )     ->	Tuple[str]:





         """simple docstring"""




         if not os.path.isdir(A_       ):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
           return
         _lowercase:			Tuple       =     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_       ) and os.path.isfile(self.vocab_file       ):
           copyfile(self.vocab_file ,				A_       )
         elif not os.path.isfile(self.vocab_file       ):
           with open(A_ ,				'''wb'''       ) as fi:
             _lowercase:			str       =     self.sp_model.serialized_model_proto()
             fi.write(A_       )

         return (out_vocab_file,)


"""simple docstring"""




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  return number | (1 << position)




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  return number & ~(1 << position)




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  return number ^ (1 << position)




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



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




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



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


if __name__ == "__main__":
  import doctest

  doctest.testmod()
