






def 		lowercase_(  SCREAMING_SNAKE_CASE_				,						SCREAMING_SNAKE_CASE_ = 1000     ):


  '''simple docstring'''

  if (not isinstance(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE     )) or (digit_position <= 0):
    raise ValueError("Digit position must be a positive integer"     )
  elif (not isinstance(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE     )) or (precision < 0):
    raise ValueError("Precision must be a nonnegative integer"     )

  # compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
  # accurate
  lowerCamelCase			: List[str]   =    (
      4 * _subsum(_SCREAMING_SNAKE_CASE				,						1				,						_SCREAMING_SNAKE_CASE     )
      - 2 * _subsum(_SCREAMING_SNAKE_CASE				,						4				,						_SCREAMING_SNAKE_CASE     )
      - _subsum(_SCREAMING_SNAKE_CASE				,						5				,						_SCREAMING_SNAKE_CASE     )
      - _subsum(_SCREAMING_SNAKE_CASE				,						6				,						_SCREAMING_SNAKE_CASE     )
  )

  # return the first hex digit of the fractional part of the result
  return hex(int((sum_result % 1) * 16     )     )[2:]






def 		lowercase_(  SCREAMING_SNAKE_CASE_				,						SCREAMING_SNAKE_CASE_				,						SCREAMING_SNAKE_CASE_     ):


  '''simple docstring'''

  lowerCamelCase			: Tuple   =    0.0
  for sum_index in range(digit_pos_to_extract + precision     ):
    lowerCamelCase			: List[Any]   =    8 * sum_index + denominator_addend
    if sum_index < digit_pos_to_extract:
      # if the exponential term is an integer and we mod it by the denominator
      # before dividing, only the integer part of the sum will change;
      # the fractional part will not
      lowerCamelCase			: Dict   =    pow(
          16				,						digit_pos_to_extract - 1 - sum_index				,						_SCREAMING_SNAKE_CASE     )
    else:
      lowerCamelCase			: Union[str, Any]   =    pow(16				,						digit_pos_to_extract - 1 - sum_index     )
    total += exponential_term / denominator
  return total


if __name__ == "__main__":
   import doctest

   doctest.testmod()







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


_snake_case					=					logging.get_logger(__name__)

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

_snake_case					=					{
    '''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''',
    },
}

_snake_case					=					{
    '''microsoft/mpnet-base''': 5_12,
}

_snake_case					=					{
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}
class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




   __A			:				List[str]							=		VOCAB_FILES_NAMES
   __A			:				int							=		PRETRAINED_VOCAB_FILES_MAP
   __A			:				str							=		PRETRAINED_INIT_CONFIGURATION
   __A			:				int							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A			:				Any							=		MPNetTokenizer
   __A			:				Dict							=		["input_ids", "attention_mask"]






   def __init__(		self						,    __A=None						,    __A=None						,    __A=True						,    __A="<s>"						,    __A="</s>"						,    __A="</s>"						,    __A="<s>"						,    __A="[UNK]"						,    __A="<pad>"						,    __A="<mask>"						,    __A=True						,    __A=None						,    **__A						,    ):






     """simple docstring"""





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

     lowerCamelCase			: List[Any]   =    json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
     if (
         pre_tok_state.get("lowercase"						,    __A			) != do_lower_case
         or pre_tok_state.get("strip_accents"						,    __A			) != strip_accents
     ):
       lowerCamelCase			: Dict   =    getattr(__A						,    pre_tok_state.pop("type"			)			)
       lowerCamelCase			: List[str]   =    do_lower_case
       lowerCamelCase			: Tuple   =    strip_accents
       lowerCamelCase			: int   =    pre_tok_class(**__A			)

     lowerCamelCase			: List[Any]   =    do_lower_case






   @property
   def _snake_case   (		self			):






     """simple docstring"""





     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 _snake_case   (		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: Tuple   =    AddedToken(__A						,    lstrip=__A						,    rstrip=__A			) if isinstance(__A						,    __A			) else value
     lowerCamelCase			: Dict   =    value






   def _snake_case   (		self						,    __A						,    __A=None			):






     """simple docstring"""





     lowerCamelCase			: Optional[Any]   =    [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 _snake_case   (		self						,    __A						,    __A = None			):






     """simple docstring"""





     lowerCamelCase			: Any   =    [self.sep_token_id]
     lowerCamelCase			: Union[str, Any]   =    [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 _snake_case   (		self						,    __A						,    __A = None			):






     """simple docstring"""





     lowerCamelCase			: int   =    self._tokenizer.model.save(__A						,    name=__A			)
     return tuple(__A			)



