code: 
  '''simple docstring'''
  
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import normalizers
  
  from ...tokenization_utils import AddedToken
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_mpnet import MPNetTokenizer
  
  
  UpperCamelCase_     			=       logging.get_logger(__name__)
  
  UpperCamelCase_     			=       {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}
  
  UpperCamelCase_     			=       {
      """vocab_file""": {
          """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt""",
      },
      """tokenizer_file""": {
          """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json""",
      },
  }
  
  UpperCamelCase_     			=       {
      """microsoft/mpnet-base""": 5_12,
  }
  
  UpperCamelCase_     			=       {
      """microsoft/mpnet-base""": {"""do_lower_case""": True},
  }
  
  
  class   a_  (_a    ):
         __lowerCAmelCase    :				List[str]    =      VOCAB_FILES_NAMES
         __lowerCAmelCase    :				List[Any]    =      PRETRAINED_VOCAB_FILES_MAP
         __lowerCAmelCase    :				int    =      PRETRAINED_INIT_CONFIGURATION
         __lowerCAmelCase    :				Optional[Any]    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
         __lowerCAmelCase    :				Tuple    =      MPNetTokenizer
         __lowerCAmelCase    :				Optional[int]    =      ["""input_ids""", """attention_mask"""]
  
  
  
  
         def __init__(     self   ,   snake_case_=None   ,   snake_case_=None   ,   snake_case_=True   ,   snake_case_="<s>"   ,   snake_case_="</s>"   ,   snake_case_="</s>"   ,   snake_case_="<s>"   ,   snake_case_="[UNK]"   ,   snake_case_="<pad>"   ,   snake_case_="<mask>"   ,   snake_case_=True   ,   snake_case_=None   ,   **snake_case_   ,   ):
           super().__init__(
               snake_case_   ,   tokenizer_file=snake_case_   ,   do_lower_case=snake_case_   ,   bos_token=snake_case_   ,   eos_token=snake_case_   ,   sep_token=snake_case_   ,   cls_token=snake_case_   ,   unk_token=snake_case_   ,   pad_token=snake_case_   ,   mask_token=snake_case_   ,   tokenize_chinese_chars=snake_case_   ,   strip_accents=snake_case_   ,   **snake_case_   ,   )
  
           _lowerCAmelCase       :  Dict   				=					json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
           if (
               pre_tok_state.get("""lowercase"""   ,   snake_case_  ) != do_lower_case
               or pre_tok_state.get("""strip_accents"""   ,   snake_case_  ) != strip_accents
           ):
             _lowerCAmelCase       :  Union[str, Any]   				=					getattr(snake_case_   ,   pre_tok_state.pop("""type"""  )  )
             _lowerCAmelCase       :  Union[str, Any]   				=					do_lower_case
             _lowerCAmelCase       :  Optional[int]   				=					strip_accents
             _lowerCAmelCase       :  str   				=					pre_tok_class(**snake_case_  )
  
           _lowerCAmelCase       :  Dict   				=					do_lower_case
  
  
  
  
         @property
         def 							__UpperCamelCase       (     self  ):
           if self._mask_token is None:
             if self.verbose:
               logger.error("""Using mask_token, but it is not set yet."""  )
             return None
           return str(self._mask_token  )
  
  
  
  
         @mask_token.setter
         def 							__UpperCamelCase       (     self   ,   snake_case_  ):
           _lowerCAmelCase       :  List[Any]   				=					AddedToken(snake_case_   ,   lstrip=snake_case_   ,   rstrip=snake_case_  ) if isinstance(snake_case_   ,   snake_case_  ) else value
           _lowerCAmelCase       :  List[Any]   				=					value
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_=None  ):
           _lowerCAmelCase       :  List[str]   				=					[self.bos_token_id] + token_ids_a + [self.eos_token_id]
           if token_ids_a is None:
             return output
  
           return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None  ):
           _lowerCAmelCase       :  Union[str, Any]   				=					[self.sep_token_id]
           _lowerCAmelCase       :  str   				=					[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]
  
  
  
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None  ):
           _lowerCAmelCase       :  Any   				=					self._tokenizer.model.save(snake_case_   ,   name=snake_case_  )
           return tuple(snake_case_  )
  
  
  
style_context: 
  '''simple docstring'''
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       int  ,      _lowerCamelCase						:       int  ,      _lowerCamelCase						:       int		)    ->						float:
    if common_ratio == 1:
      # Formula for sum if common ratio is 1
      return num_of_terms * first_term
  
    # Formula for finding sum of n terms of a GeometricProgression
    return (first_term / (1 - common_ratio)) * (1 - common_ratio**num_of_terms)
  
  
  