






"""simple docstring"""





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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


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

_SCREAMING_SNAKE_CASE					:				Any					    =						{'''vocab_file''': '''spiece.model'''}

_SCREAMING_SNAKE_CASE					:				str					    =						{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

_SCREAMING_SNAKE_CASE					:				Tuple					    =						{'''bert_for_seq_generation''': 512}






class      a						(					__snake_case		):
    SCREAMING_SNAKE_CASE						:     Optional[Any]						= VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE						:     Dict						= PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE						:     Dict						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE						:     List[int]						= []
    SCREAMING_SNAKE_CASE						:     str						= ['input_ids', 'attention_mask']






    def __init__(       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							Any       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]="<s>"       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]="</s>"       ,						__SCREAMING_SNAKE_CASE     :							Any="<unk>"       ,						__SCREAMING_SNAKE_CASE     :							str="<pad>"       ,						__SCREAMING_SNAKE_CASE     :							List[str]="<::::>"       ,						__SCREAMING_SNAKE_CASE     :							str = None       ,						**__SCREAMING_SNAKE_CASE     :							Optional[int]       ,						)     ->		None:
      lowerCamelCase_         =						{} if sp_model_kwargs is None else sp_model_kwargs

      # Add extra_ids to the special token list
      super().__init__(
          bos_token=__SCREAMING_SNAKE_CASE       ,						eos_token=__SCREAMING_SNAKE_CASE       ,						unk_token=__SCREAMING_SNAKE_CASE       ,						pad_token=__SCREAMING_SNAKE_CASE       ,						sep_token=__SCREAMING_SNAKE_CASE       ,						sp_model_kwargs=self.sp_model_kwargs       ,						**__SCREAMING_SNAKE_CASE       ,						)

      lowerCamelCase_         =						vocab_file

      lowerCamelCase_         =						spm.SentencePieceProcessor(**self.sp_model_kwargs					)
      self.sp_model.Load(__SCREAMING_SNAKE_CASE					)






    @property
    def    UpperCamelCase       (       self     :							Optional[Any]					)     ->		Optional[int]:
      return self.sp_model.get_piece_size()






    def    UpperCamelCase       (       self     :							Union[str, Any]					)     ->		Optional[Any]:
      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 __getstate__(       self     :							Union[str, Any]					)     ->		List[str]:
      lowerCamelCase_         =						self.__dict__.copy()
      lowerCamelCase_         =						None
      return state






    def __setstate__(       self     :							Optional[int]       ,						__SCREAMING_SNAKE_CASE     :							Tuple					)     ->		Dict:
      lowerCamelCase_         =						d

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

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






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							List[str]					)     ->		List[str]:
      return self.sp_model.encode(__SCREAMING_SNAKE_CASE       ,						out_type=__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]					)     ->		Union[str, Any]:
      return self.sp_model.piece_to_id(__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							Tuple					)     ->		str:
      lowerCamelCase_         =						self.sp_model.IdToPiece(__SCREAMING_SNAKE_CASE					)
      return token






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							Dict					)     ->		List[Any]:
      lowerCamelCase_         =						[]
      lowerCamelCase_         =						''
      for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
          out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE					) + token
          lowerCamelCase_         =						[]
        else:
          current_sub_tokens.append(__SCREAMING_SNAKE_CASE					)
      out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE					)
      return out_string.strip()






    def    UpperCamelCase       (       self     :							int       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							List[Any] = None					)     ->		Tuple[str]:



      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']					)

      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					)

      return (out_vocab_file,)









'''simple docstring'''





def lowerCAmelCase  (__A):



     """simple docstring"""



     if not isinstance(__A  ,	__A):
          raise ValueError('''multiplicative_persistence() only accepts integral values''')
     if num < 0:
          raise ValueError('''multiplicative_persistence() does not accept negative values''')

     _a      =  0
     _a      =  str(__A)

     while len(__A) != 1:
          _a      =  [int(__A) for i in num_string]

          _a      =  1
          for i in range(0  ,	len(__A)):
               total *= numbers[i]

          _a      =  str(__A)

          steps += 1
     return steps




def lowerCAmelCase  (__A):



     """simple docstring"""



     if not isinstance(__A  ,	__A):
          raise ValueError('''additive_persistence() only accepts integral values''')
     if num < 0:
          raise ValueError('''additive_persistence() does not accept negative values''')

     _a      =  0
     _a      =  str(__A)

     while len(__A) != 1:
          _a      =  [int(__A) for i in num_string]

          _a      =  0
          for i in range(0  ,	len(__A)):
               total += numbers[i]

          _a      =  str(__A)

          steps += 1
     return steps


if __name__ == "__main__":
  import doctest

  doctest.testmod()



