code: import os
  from shutil import copyfile
  from typing import Optional, Tuple
  
  from ...file_utils import is_sentencepiece_available
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  
  
  if is_sentencepiece_available():
  	from .tokenization_deberta_va import DebertaVaTokenizer
  else:
  	lowercase__    :       str						=			None
  
  lowercase__    :       Union[str, Any]						=			logging.get_logger(__name__)
  
  lowercase__    :       Optional[Any]						=			{'''vocab_file''': '''spm.model''', '''tokenizer_file''': '''tokenizer.json'''}
  
  lowercase__    :       Optional[int]						=			{
      '''vocab_file''': {
          '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model''',
          '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model''',
          '''microsoft/deberta-v2-xlarge-mnli''': (
              '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'''
          ),
          '''microsoft/deberta-v2-xxlarge-mnli''': (
              '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'''
          ),
      }
  }
  
  lowercase__    :       List[str]						=			{
      '''microsoft/deberta-v2-xlarge''': 5_1_2,
      '''microsoft/deberta-v2-xxlarge''': 5_1_2,
      '''microsoft/deberta-v2-xlarge-mnli''': 5_1_2,
      '''microsoft/deberta-v2-xxlarge-mnli''': 5_1_2,
  }
  
  lowercase__    :       int						=			{
      '''microsoft/deberta-v2-xlarge''': {'''do_lower_case''': False},
      '''microsoft/deberta-v2-xxlarge''': {'''do_lower_case''': False},
      '''microsoft/deberta-v2-xlarge-mnli''': {'''do_lower_case''': False},
      '''microsoft/deberta-v2-xxlarge-mnli''': {'''do_lower_case''': False},
  }
  
  
  
  
  class      lowercase_						(						UpperCamelCase_		):
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	UpperCAmelCase_						:      Union[str, Any]     =       VOCAB_FILES_NAMES
  	UpperCAmelCase_						:      List[str]     =       PRETRAINED_VOCAB_FILES_MAP
  	UpperCAmelCase_						:      Optional[Any]     =       PRETRAINED_INIT_CONFIGURATION
  	UpperCAmelCase_						:      Union[str, Any]     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  	UpperCAmelCase_						:      Tuple     =       DebertaVaTokenizer
  
  
  	def __init__(							self	,    __SCREAMING_SNAKE_CASE=None	,    __SCREAMING_SNAKE_CASE=None	,    __SCREAMING_SNAKE_CASE=False	,    __SCREAMING_SNAKE_CASE=False	,    __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]:
  								super().__init__(
  								    UpperCamelCase_	,    tokenizer_file=UpperCamelCase_	,    do_lower_case=UpperCamelCase_	,    bos_token=UpperCamelCase_	,    eos_token=UpperCamelCase_	,    unk_token=UpperCamelCase_	,    sep_token=UpperCamelCase_	,    pad_token=UpperCamelCase_	,    cls_token=UpperCamelCase_	,    mask_token=UpperCamelCase_	,    split_by_punct=UpperCamelCase_	,    **UpperCamelCase_	,    )
  
  								lowerCAmelCase				=	do_lower_case
  								lowerCAmelCase				=	split_by_punct
  								lowerCAmelCase				=	vocab_file
  								lowerCAmelCase				=	False if not self.vocab_file else True
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE=None       )		->int:
  
  								if token_ids_a is None:
  															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  								lowerCAmelCase				=	[self.cls_token_id]
  								lowerCAmelCase				=	[self.sep_token_id]
  								return cls + token_ids_a + sep + token_ids_a + sep
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE=None	,    __SCREAMING_SNAKE_CASE=False       )		->int:
  
  								if already_has_special_tokens:
  															return super().get_special_tokens_mask(
  															    token_ids_a=UpperCamelCase_	,    token_ids_a=UpperCamelCase_	,    already_has_special_tokens=UpperCamelCase_       )
  
  								if token_ids_a is not None:
  															return [1] + ([0] * len(UpperCamelCase_       )) + [1] + ([0] * len(UpperCamelCase_       )) + [1]
  								return [1] + ([0] * len(UpperCamelCase_       )) + [1]
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE=None       )		->Dict:
  								lowerCAmelCase				=	[self.sep_token_id]
  								lowerCAmelCase				=	[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     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE = None       )		->Tuple:
  								if not self.can_save_slow_tokenizer:
  															raise ValueError(
  															    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
  															    '''tokenizer.'''       )
  
  								if not os.path.isdir(UpperCamelCase_       ):
  															logger.error(F"Vocabulary path ({save_directory}) should be a directory"       )
  															return
  								lowerCAmelCase				=	os.path.join(
  								    UpperCamelCase_	,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )
  
  								if os.path.abspath(self.vocab_file       ) != os.path.abspath(UpperCamelCase_       ):
  															copyfile(self.vocab_file	,    UpperCamelCase_       )
  
  								return (out_vocab_file,)
  
  
  
  
style_context: import math
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			float:
  							lowerCAmelCase				=	math.log(2     ,						1_0							) * number
  							lowerCAmelCase				=	round((log_number - int(snake_case__							))     ,						1_5							)
  
  							return difference
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__ = 6_7_8_9_1_0							)  ->			int:
  							lowerCAmelCase				=	9_0
  							lowerCAmelCase				=	0
  
  							lowerCAmelCase				=	math.log(1.23     ,						1_0							)
  							lowerCAmelCase				=	math.log(1.24     ,						1_0							)
  							lowerCAmelCase				=	0
  
  							while position < number:
  														lowerCAmelCase				=	log_difference(snake_case__							)
  
  														if difference >= upper_limit:
  																					power_iterator += 9_3
  
  														elif difference < lower_limit:
  																					power_iterator += 1_9_6
  
  														else:
  																					lowerCAmelCase				=	power_iterator
  																					power_iterator += 1_9_6
  																					position += 1
  
  							return previous_power
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  	print(f'{solution() = }')
  
  
  
  