


'''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


lowercase							=logging.get_logger(__name__)

lowercase							='▁'

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

lowercase							={
    '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',
    },
}

lowercase							={'vinai/bartpho-syllable': 1024}






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										=VOCAB_FILES_NAMES
       UpperCAmelCase										=PRETRAINED_VOCAB_FILES_MAP
       UpperCAmelCase										=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCAmelCase										=["input_ids", "attention_mask"]






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




          '''simple docstring'''
          # Mask token behave like a normal word, i.e. include the space before it
          _UpperCAmelCase       :       str							   =AddedToken(snake_case  ,							lstrip=snake_case  ,							rstrip=snake_case) if isinstance(snake_case  ,							snake_case) else mask_token

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

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

          _UpperCAmelCase       :       Tuple							   =vocab_file
          _UpperCAmelCase       :       Optional[int]							   =monolingual_vocab_file
          _UpperCAmelCase       :       str							   =spm.SentencePieceProcessor(**self.sp_model_kwargs)
          self.sp_model.Load(str(snake_case))

          # Load the reduced vocab

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

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






       def __getstate__(      self)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       int							   =self.__dict__.copy()
          _UpperCAmelCase       :       Tuple							   =None
          _UpperCAmelCase       :       Any							   =self.sp_model.serialized_model_proto()
          return state






       def __setstate__(      self  ,							snake_case)						->  Optional[int]:




          '''simple docstring'''
          _UpperCAmelCase       :       Dict							   =d

          # for backward compatibility
          if not hasattr(self  ,							'sp_model_kwargs'):
             _UpperCAmelCase       :       List[str]							   ={}

          _UpperCAmelCase       :       Optional[Any]							   =spm.SentencePieceProcessor(**self.sp_model_kwargs)
          self.sp_model.LoadFromSerializedProto(self.sp_model_proto)






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case = None)						->  List[int]:




          '''simple docstring'''

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






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case = None  ,							snake_case = False)						->  List[int]:




          '''simple docstring'''

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

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






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case = None)						->  List[int]:




          '''simple docstring'''
          _UpperCAmelCase       :       Any							   =[self.sep_token_id]
          _UpperCAmelCase       :       int							   =[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       lowerCAmelCase		(      self)						->  Dict:




          '''simple docstring'''
          return len(self.fairseq_ids_to_tokens)






       def       lowerCAmelCase		(      self)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       str							   ={self.convert_ids_to_tokens(snake_case): i for i in range(self.vocab_size)}
          vocab.update(self.added_tokens_encoder)
          return vocab






       def       lowerCAmelCase		(      self  ,							snake_case)						->  List[str]:




          '''simple docstring'''
          return self.sp_model.encode(snake_case  ,							out_type=snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case)						->  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       lowerCAmelCase		(      self  ,							snake_case)						->  Dict:




          '''simple docstring'''
          return self.fairseq_ids_to_tokens[index]






       def       lowerCAmelCase		(      self  ,							snake_case)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       Dict							   =''.join(snake_case).replace(snake_case  ,							' ').strip()
          return out_string






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case = None)						->  Tuple[str]:




          '''simple docstring'''
          if not os.path.isdir(snake_case):
             logger.error(f"Vocabulary path ({save_directory}) should be a directory")
             return
          _UpperCAmelCase       :       str							   =os.path.join(
              snake_case  ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
          _UpperCAmelCase       :       Union[str, Any]							   =os.path.join(
              snake_case  ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['monolingual_vocab_file']  ,							)

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

          if os.path.abspath(self.monolingual_vocab_file) != os.path.abspath(
              snake_case) and os.path.isfile(self.monolingual_vocab_file):
             copyfile(self.monolingual_vocab_file  ,							snake_case)
          elif not os.path.isfile(self.monolingual_vocab_file):
             with open(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(snake_case)} \n")

          return out_vocab_file, out_monolingual_vocab_file





'''simple docstring'''






lowercase							=[0, 2, 4, 6, 8]
lowercase							=[1, 3, 5, 7, 9]





def lowerCamelCase__      (						__lowerCamelCase	:							int	,   __lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]	,   __lowerCamelCase	:							int							):







   '''simple docstring'''




   if remaining_length == 0:
      if digits[0] == 0 or digits[-1] == 0:
         return 0

      for i in range(length // 2 - 1	,   -1	,   -1							):
         remainder += digits[i] + digits[length - i - 1]

         if remainder % 2 == 0:
            return 0

         remainder //= 1_0

      return 1

   if remaining_length == 1:
      if remainder % 2 == 0:
         return 0

      _UpperCAmelCase       :       Union[str, Any]							   =0
      for digit in range(1_0							):
         _UpperCAmelCase       :       str							   =digit
         result += reversible_numbers(
             0	,   (remainder + 2 * digit) // 1_0	,   __lowerCamelCase	,   __lowerCamelCase							)
      return result

   _UpperCAmelCase       :       Optional[Any]							   =0
   for digita in range(1_0							):
      _UpperCAmelCase       :       Any							   =digita

      if (remainder + digita) % 2 == 0:
         _UpperCAmelCase       :       Optional[int]							   =ODD_DIGITS
      else:
         _UpperCAmelCase       :       Union[str, Any]							   =EVEN_DIGITS

      for digita in other_parity_digits:
         _UpperCAmelCase       :       int							   =digita
         result += reversible_numbers(
             remaining_length - 2	,   (remainder + digita + digita) // 1_0	,   __lowerCamelCase	,   __lowerCamelCase	,   )
   return result





def lowerCamelCase__      (						__lowerCamelCase	:							int = 9							):







   '''simple docstring'''




   _UpperCAmelCase       :       Optional[int]							   =0
   for length in range(1	,   max_power + 1							):
      result += reversible_numbers(__lowerCamelCase	,   0	,   [0] * length	,   __lowerCamelCase							)
   return result


if __name__ == "__main__":
 print(F"""{solution() = }""")

