
'''simple docstring'''




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

import sentencepiece as spm

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


lowercase			:				Dict    		=			logging.get_logger(__name__)

lowercase			:				Tuple    		=			{'vocab_file': 'sentencepiece.model'}

lowercase			:				Dict    		=			{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

lowercase			:				Any    		=			{
    'google/rembert': 2_56,
}





class  A				(							UpperCAmelCase__						):
     __magic_name__						=		VOCAB_FILES_NAMES
     __magic_name__						=		PRETRAINED_VOCAB_FILES_MAP
     __magic_name__						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





     def __init__(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE=False						,			SCREAMING_SNAKE_CASE=True						,			SCREAMING_SNAKE_CASE=True						,			SCREAMING_SNAKE_CASE="[CLS]"						,			SCREAMING_SNAKE_CASE="[SEP]"						,			SCREAMING_SNAKE_CASE="[UNK]"						,			SCREAMING_SNAKE_CASE="[SEP]"						,			SCREAMING_SNAKE_CASE="[PAD]"						,			SCREAMING_SNAKE_CASE="[CLS]"						,			SCREAMING_SNAKE_CASE="[MASK]"						,			**SCREAMING_SNAKE_CASE						,			) ->				Union[str, Any]:






         """simple docstring"""






         super().__init__(
             do_lower_case=snake_case_						,			remove_space=snake_case_						,			keep_accents=snake_case_						,			bos_token=snake_case_						,			eos_token=snake_case_						,			unk_token=snake_case_						,			sep_token=snake_case_						,			pad_token=snake_case_						,			cls_token=snake_case_						,			mask_token=snake_case_						,			**snake_case_						,			)

         A       :   Any					=						do_lower_case
         A       :   str					=						remove_space
         A       :   List[Any]					=						keep_accents
         A       :   str					=						vocab_file

         A       :   Dict					=						spm.SentencePieceProcessor()
         self.sp_model.Load(snake_case_	)





     @property
     def 				__lowerCAmelCase							(							self	) ->				Union[str, Any]:






         """simple docstring"""






         return len(self.sp_model	)





     def 				__lowerCAmelCase							(							self	) ->				Tuple:






         """simple docstring"""






         A       :   int					=						{self.convert_ids_to_tokens(snake_case_	): i for i in range(self.vocab_size	)}
         vocab.update(self.added_tokens_encoder	)
         return vocab





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






         """simple docstring"""






         A       :   Optional[int]					=						self.__dict__.copy()
         A       :   Optional[Any]					=						None
         return state





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






         """simple docstring"""






         A       :   Optional[Any]					=						d
         A       :   str					=						spm.SentencePieceProcessor()
         self.sp_model.Load(self.vocab_file	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE=False	) ->				Optional[int]:






         """simple docstring"""






         A       :   Any					=						self.sp_model.EncodeAsPieces(snake_case_	)
         return pieces





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Tuple:






         """simple docstring"""






         return self.sp_model.PieceToId(snake_case_	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Tuple:






         """simple docstring"""






         return self.sp_model.IdToPiece(snake_case_	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Tuple:






         """simple docstring"""






         A       :   Any					=						self.sp_model.decode_pieces(snake_case_	)
         return out_string





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				Optional[Any]:






         """simple docstring"""






         A       :   Tuple					=						[self.sep_token_id]
         A       :   Union[str, Any]					=						[self.cls_token_id]
         if token_ids_a is None:
             return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None						,			SCREAMING_SNAKE_CASE = False	) ->				List[Any]:






         """simple docstring"""






         if already_has_special_tokens:
             if token_ids_a is not None:
                 raise ValueError(
                     '''You should not supply a second sequence if the provided sequence of '''
                     '''ids is already formatted with special tokens for the model.'''	)
             return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
             return [1] + ([0] * len(snake_case_	)) + [1] + ([0] * len(snake_case_	)) + [1]
         return [1] + ([0] * len(snake_case_	)) + [1]





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				Dict:






         """simple docstring"""






         A       :   Union[str, Any]					=						[self.sep_token_id]
         A       :   Optional[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	) * [0] + len(token_ids_a + sep	) * [1]





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE = None	) ->				Any:






         """simple docstring"""






         if not os.path.isdir(snake_case_	):
             logger.error('''Vocabulary path ({}) should be a directory'''.format(snake_case_	)	)
             return
         A       :   Dict					=						os.path.join(
             snake_case_						,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

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

         return (out_vocab_file,)











"""simple docstring"""




import os

# Precomputes a list of the 100 first triangular numbers
lowerCamelCase_     :						List[str]						=					[int(0.5 * n * (n + 1)) for n in range(1, 1_01)]





def 						UpperCAmelCase__		(     ):






  """simple docstring"""





  A_  :       Union[str, Any]										=  os.path.dirname(os.path.realpath(_UpperCAmelCase					)					)
  A_  :       Tuple										=  os.path.join(_UpperCAmelCase ,					'words.txt'					)

  A_  :       List[Any]										=  ''
  with open(_UpperCAmelCase					) as f:
    A_  :       int										=  f.readline()

  A_  :       Optional[Any]										=  [word.strip('"'					) for word in words.strip('\r\n'					).split(','					)]
  A_  :       Dict										=  [
      word
      for word in [sum(ord(_UpperCAmelCase					) - 64 for x in word					) for word in words]
      if word in TRIANGULAR_NUMBERS
  ]
  return len(_UpperCAmelCase					)


if __name__ == "__main__":
   print(solution())