



'''simple docstring'''


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


lowercase							       =			logging.get_logger(__name__)

lowercase							       =			{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase							       =			{
    '''vocab_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

lowercase							       =			{
    '''yjernite/retribert-base-uncased''': 512,
}


lowercase							       =			{
    '''yjernite/retribert-base-uncased''': {'''do_lower_case''': True},
}







class 	UpperCAmelCase	(		__a):


	'''simple docstring'''




	__magic_name__					: Optional[Any]  =      VOCAB_FILES_NAMES
	__magic_name__					: int  =      PRETRAINED_VOCAB_FILES_MAP
	__magic_name__					: int  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__					: Union[str, Any]  =      PRETRAINED_INIT_CONFIGURATION
	__magic_name__					: Dict  =      RetriBertTokenizer
	__magic_name__					: str  =      ["input_ids", "attention_mask"]




	def __init__(   self							,  lowerCAmelCase_=None							,  lowerCAmelCase_=None							,  lowerCAmelCase_=True							,  lowerCAmelCase_="[UNK]"							,  lowerCAmelCase_="[SEP]"							,  lowerCAmelCase_="[PAD]"							,  lowerCAmelCase_="[CLS]"							,  lowerCAmelCase_="[MASK]"							,  lowerCAmelCase_=True							,  lowerCAmelCase_=None							,  **lowerCAmelCase_							,  ) ->      List[Any]:



						"""simple docstring"""







						super().__init__(
						    lowerCAmelCase_							,  tokenizer_file=lowerCAmelCase_							,  do_lower_case=lowerCAmelCase_							,  unk_token=lowerCAmelCase_							,  sep_token=lowerCAmelCase_							,  pad_token=lowerCAmelCase_							,  cls_token=lowerCAmelCase_							,  mask_token=lowerCAmelCase_							,  tokenize_chinese_chars=lowerCAmelCase_							,  strip_accents=lowerCAmelCase_							,  **lowerCAmelCase_							,  )

						a_       		=json.loads(self.backend_tokenizer.normalizer.__getstate__())
						if (
						    normalizer_state.get("lowercase"							,  lowerCAmelCase_) != do_lower_case
						    or normalizer_state.get("strip_accents"							,  lowerCAmelCase_) != strip_accents
						    or normalizer_state.get("handle_chinese_chars"							,  lowerCAmelCase_) != tokenize_chinese_chars
						):
											a_       		=getattr(lowerCAmelCase_							,  normalizer_state.pop("type"))
											a_       		=do_lower_case
											a_       		=strip_accents
											a_       		=tokenize_chinese_chars
											a_       		=normalizer_class(**lowerCAmelCase_)

						a_       		=do_lower_case




	def       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_=None) ->      List[str]:



						"""simple docstring"""







						a_       		=[self.cls_token_id] + token_ids_a + [self.sep_token_id]

						if token_ids_a:
											output += token_ids_a + [self.sep_token_id]

						return output




	def       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_ = None) ->      List[int]:



						"""simple docstring"""







						a_       		=[self.sep_token_id]
						a_       		=[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       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_ = None) ->      Tuple[str]:



						"""simple docstring"""







						a_       		=self._tokenizer.model.save(lowerCAmelCase_							,  name=lowerCAmelCase_)
						return tuple(lowerCAmelCase_)







'''simple docstring'''


import os

# Precomputes a list of the 100 first triangular numbers
lowercase							       =			[int(0.5 * n * (n + 1)) for n in range(1, 101)]






def  UpperCAmelCase_       (		):


     '''simple docstring'''







     a_       		=os.path.dirname(os.path.realpath(lowercase__       )       )
     a_       		=os.path.join(lowercase__       ,	"words.txt"       )

     a_       		=""
     with open(lowercase__       ) as f:
          a_       		=f.readline()

     a_       		=[word.strip("\""       ) for word in words.strip("\r\n"       ).split(","       )]
     a_       		=[
         word
         for word in [sum(ord(lowercase__       ) - 6_4 for x in word       ) for word in words]
         if word in TRIANGULAR_NUMBERS
     ]
     return len(lowercase__       )


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


