




"""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


lowerCamelCase    :		Union[str, Any]			   =       logging.get_logger(__name__)

lowerCamelCase    :		Optional[Any]			   =       '▁'

lowerCamelCase    :		Tuple			   =       {'vocab_file': 'sentencepiece.bpe.model', 'monolingual_vocab_file': 'dict.txt'}

lowerCamelCase    :		Tuple			   =       {
    'vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model',
    },
    'monolingual_vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt',
    },
}

lowerCamelCase    :		Optional[Any]			   =       {'vinai/bartpho-syllable': 1_024}







class   A(						__SCREAMING_SNAKE_CASE       ):



 '''simple docstring'''


 UpperCamelCase						       =						VOCAB_FILES_NAMES
 UpperCamelCase						       =						PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase						       =						['''input_ids''', '''attention_mask''']

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

       """simple docstring"""






       lowerCamelCase_							=   AddedToken(_SCREAMING_SNAKE_CASE						,							lstrip=_SCREAMING_SNAKE_CASE						,							rstrip=_SCREAMING_SNAKE_CASE  ) if isinstance(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE  ) else mask_token

       lowerCamelCase_							=   {} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           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						,							sp_model_kwargs=self.sp_model_kwargs						,							**_SCREAMING_SNAKE_CASE						,							)

       lowerCamelCase_							=   vocab_file
       lowerCamelCase_							=   monolingual_vocab_file
       lowerCamelCase_							=   spm.SentencePieceProcessor(**self.sp_model_kwargs  )
       self.sp_model.Load(str(_SCREAMING_SNAKE_CASE  )  )

       # Load the reduced vocab

       # Keep order of special tokens for backward compatibility
       lowerCamelCase_							=   {}
       lowerCamelCase_							=   0
       for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
             if str(_SCREAMING_SNAKE_CASE  ) not in self.fairseq_tokens_to_ids:
                   lowerCamelCase_							=   cnt
                   cnt += 1
       with open(_SCREAMING_SNAKE_CASE						,							'r'						,							encoding='utf-8'  ) as f:
             for line in f.readlines():
                   lowerCamelCase_							=   line.strip().split()[0]
                   lowerCamelCase_							=   len(self.fairseq_tokens_to_ids  )
       if str(_SCREAMING_SNAKE_CASE  ) not in self.fairseq_tokens_to_ids:
             lowerCamelCase_							=   len(self.fairseq_tokens_to_ids  )

       lowerCamelCase_							=   {v: k for k, v in self.fairseq_tokens_to_ids.items()}

 def __getstate__(    self :  List[Any]  )       ->     Optional[Any]:

       """simple docstring"""






       lowerCamelCase_							=   self.__dict__.copy()
       lowerCamelCase_							=   None
       lowerCamelCase_							=   self.sp_model.serialized_model_proto()
       return state

 def __setstate__(    self :  Any						,							A_ :  List[Any]  )       ->     Any:

       """simple docstring"""






       lowerCamelCase_							=   d

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

       lowerCamelCase_							=   spm.SentencePieceProcessor(**self.sp_model_kwargs  )
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto  )

 def     a__			(    self :  Union[str, Any]						,							A_ :  List[int]						,							A_ :  Optional[List[int]] = None  )       ->     List[int]:

       """simple docstring"""






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

 def     a__			(    self :  Union[str, Any]						,							A_ :  List[int]						,							A_ :  Optional[List[int]] = None						,							A_ :  bool = False  )       ->     List[int]:

       """simple docstring"""






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

       if token_ids_a is None:
             return [1] + ([0] * len(_SCREAMING_SNAKE_CASE  )) + [1]
       return [1] + ([0] * len(_SCREAMING_SNAKE_CASE  )) + [1, 1] + ([0] * len(_SCREAMING_SNAKE_CASE  )) + [1]

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

       """simple docstring"""






       lowerCamelCase_							=   [self.sep_token_id]
       lowerCamelCase_							=   [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     a__			(    self :  int  )       ->     Any:

       """simple docstring"""






       return len(self.fairseq_ids_to_tokens  )

 def     a__			(    self :  List[Any]  )       ->     str:

       """simple docstring"""






       lowerCamelCase_							=   {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE  ): i for i in range(self.vocab_size  )}
       vocab.update(self.added_tokens_encoder  )
       return vocab

 def     a__			(    self :  List[str]						,							A_ :  str  )       ->     List[str]:

       """simple docstring"""






       return self.sp_model.encode(_SCREAMING_SNAKE_CASE						,							out_type=_SCREAMING_SNAKE_CASE  )

 def     a__			(    self :  Optional[int]						,							A_ :  str  )       ->     List[str]:

       """simple docstring"""






       if token in self.fairseq_tokens_to_ids:
             return self.fairseq_tokens_to_ids[token]
       else:
             return self.unk_token_id

 def     a__			(    self :  Optional[Any]						,							A_ :  Optional[Any]  )       ->     Optional[Any]:

       """simple docstring"""






       return self.fairseq_ids_to_tokens[index]

 def     a__			(    self :  Union[str, Any]						,							A_ :  Any  )       ->     Optional[int]:

       """simple docstring"""






       lowerCamelCase_							=   "".join(_SCREAMING_SNAKE_CASE  ).replace(_SCREAMING_SNAKE_CASE						,							' '  ).strip()
       return out_string





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

       """simple docstring"""






       if not os.path.isdir(_SCREAMING_SNAKE_CASE  ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""  )
             return
       lowerCamelCase_							=   os.path.join(
           _SCREAMING_SNAKE_CASE						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
       lowerCamelCase_							=   os.path.join(
           _SCREAMING_SNAKE_CASE						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['monolingual_vocab_file']						,							)

       if os.path.abspath(self.vocab_file  ) != os.path.abspath(_SCREAMING_SNAKE_CASE  ) and os.path.isfile(self.vocab_file  ):
             copyfile(self.vocab_file						,							_SCREAMING_SNAKE_CASE  )
       elif not os.path.isfile(self.vocab_file  ):
             with open(_SCREAMING_SNAKE_CASE						,							'wb'  ) as fi:
                   lowerCamelCase_							=   self.sp_model.serialized_model_proto()
                   fi.write(_SCREAMING_SNAKE_CASE  )

       if os.path.abspath(self.monolingual_vocab_file  ) != os.path.abspath(
           _SCREAMING_SNAKE_CASE  ) and os.path.isfile(self.monolingual_vocab_file  ):
             copyfile(self.monolingual_vocab_file						,							_SCREAMING_SNAKE_CASE  )
       elif not os.path.isfile(self.monolingual_vocab_file  ):
             with open(_SCREAMING_SNAKE_CASE						,							'w'						,							encoding='utf-8'  ) as fp:
                   for token in self.fairseq_tokens_to_ids:
                         if token not in self.all_special_tokens:
                               fp.write(f"""{str(_SCREAMING_SNAKE_CASE  )} \n"""  )

       return out_vocab_file, out_monolingual_vocab_file









def       _SCREAMING_SNAKE_CASE      (							lowercase     :	str					):


      '''simple docstring'''



      if not all(char in '01' for char in bin_string					):
            raise ValueError('Non-binary value was passed to the function'					)
      if not bin_string:
            raise ValueError('Empty string was passed to the function'					)
      lowerCamelCase_							=   ''
      while len(lowercase					) % 3 != 0:
            lowerCamelCase_							=   '0' + bin_string
      lowerCamelCase_							=   [
          bin_string[index : index + 3]
          for index in range(len(lowercase					)					)
          if index % 3 == 0
      ]
      for bin_group in bin_string_in_3_list:
            lowerCamelCase_							=   0
            for index, val in enumerate(lowercase					):
                  oct_val += int(2 ** (2 - index) * int(lowercase					)					)
            oct_string += str(lowercase					)
      return oct_string


if __name__ == "__main__":
 from doctest import testmod

 testmod()



