code: 
  
  
  '''simple docstring'''
  
  import json
  import os
  from typing import TYPE_CHECKING, List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  if TYPE_CHECKING:
  							from transformers.pipelines.conversational import Conversation
  
  lowerCAmelCase   :List[str]								=    logging.get_logger(__name__)
  
  lowerCAmelCase   :List[str]								=    {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}
  
  lowerCAmelCase   :List[Any]								=    {
      '''vocab_file''': {
          '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json''',
          '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json''',
          '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json''',
          '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json''',
          '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json''',
          '''microsoft/deberta-xlarge-mnli''': (
              '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'''
          ),
      },
      '''merges_file''': {
          '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt''',
          '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt''',
          '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt''',
          '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt''',
          '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt''',
          '''microsoft/deberta-xlarge-mnli''': (
              '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'''
          ),
      },
  }
  
  lowerCAmelCase   :Any								=    {
      '''microsoft/deberta-base''': 5_1_2,
      '''microsoft/deberta-large''': 5_1_2,
      '''microsoft/deberta-xlarge''': 5_1_2,
      '''microsoft/deberta-base-mnli''': 5_1_2,
      '''microsoft/deberta-large-mnli''': 5_1_2,
      '''microsoft/deberta-xlarge-mnli''': 5_1_2,
  }
  
  lowerCAmelCase   :Optional[int]								=    {
      '''microsoft/deberta-base''': {'''do_lower_case''': False},
      '''microsoft/deberta-large''': {'''do_lower_case''': False},
  }
  
  
  
  
  
  def lowerCamelCase    (    ):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[str]  			=  (
  	    list(range(ord('!'	)	,	ord('~'	) + 1	)	) + list(range(ord('¡'	)	,	ord('¬'	) + 1	)	) + list(range(ord('®'	)	,	ord('ÿ'	) + 1	)	)
  	)
  	__magic_name__ :					List[str]  			=  bs[:]
  	__magic_name__ :					int  			=  0
  	for b in range(2**8	):
  		if b not in bs:
  			bs.append(lowerCAmelCase	)
  			cs.append(2**8 + n	)
  			n += 1
  	__magic_name__ :					Optional[int]  			=  [chr(lowerCAmelCase	) for n in cs]
  	return dict(zip(lowerCAmelCase	,	lowerCAmelCase	)	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Optional[Any]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[str]  			=  set()
  	__magic_name__ :					List[Any]  			=  word[0]
  	for char in word[1:]:
  		pairs.add((prev_char, char)	)
  		__magic_name__ :					Union[str, Any]  			=  char
  	return pairs
  
  
  
  
  
  class _lowerCamelCase (		lowercase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    str   					=       VOCAB_FILES_NAMES
  		A_			:    Tuple   					=       PRETRAINED_VOCAB_FILES_MAP
  		A_			:    int   					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		A_			:    List[str]   					=       ["""input_ids""", """attention_mask""", """token_type_ids"""]
  
  
  
  
  
  
  
  		def __init__(      self	:		Union[str, Any]						,  _A	:		Union[str, Any]						,  _A	:		int						,  _A	:		Optional[Any]="replace"						,  _A	:		Optional[int]="[CLS]"						,  _A	:		Optional[Any]="[SEP]"						,  _A	:		Optional[int]="[SEP]"						,  _A	:		int="[CLS]"						,  _A	:		str="[UNK]"						,  _A	:		Union[str, Any]="[PAD]"						,  _A	:		Union[str, Any]="[MASK]"						,  _A	:		Optional[Any]=False						,  _A	:		int=False						,  **_A	:		Any						,  )						->				Optional[int]:
  			__magic_name__ :					int  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else bos_token
  			__magic_name__ :					Tuple  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else eos_token
  			__magic_name__ :					List[str]  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else sep_token
  			__magic_name__ :					Optional[int]  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else cls_token
  			__magic_name__ :					List[str]  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else unk_token
  			__magic_name__ :					str  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else pad_token
  
  			# Mask token behave like a normal word, i.e. include the space before it
  			__magic_name__ :					Optional[int]  			=  AddedToken(_A						,  lstrip=_A						,  rstrip=_A    ) if isinstance(_A						,  _A    ) else mask_token
  
  			super().__init__(
  			    errors=_A						,  bos_token=_A						,  eos_token=_A						,  unk_token=_A						,  sep_token=_A						,  cls_token=_A						,  pad_token=_A						,  mask_token=_A						,  add_prefix_space=_A						,  add_bos_token=_A						,  **_A						,  )
  			__magic_name__ :					Optional[int]  			=  add_bos_token
  
  			with open(_A						,  encoding='utf-8'    ) as vocab_handle:
  				__magic_name__ :					Tuple  			=  json.load(_A    )
  			__magic_name__ :					Optional[Any]  			=  {v: k for k, v in self.encoder.items()}
  			__magic_name__ :					str  			=  errors  # how to handle errors in decoding
  			__magic_name__ :					Union[str, Any]  			=  bytes_to_unicode()
  			__magic_name__ :					Optional[Any]  			=  {v: k for k, v in self.byte_encoder.items()}
  			with open(_A						,  encoding='utf-8'    ) as merges_handle:
  				__magic_name__ :					Optional[Any]  			=  merges_handle.read().split('\n'    )[1:-1]
  			__magic_name__ :					List[Any]  			=  [tuple(merge.split()    ) for merge in bpe_merges]
  			__magic_name__ :					List[str]  			=  dict(zip(_A						,  range(len(_A    )    )    )    )
  			__magic_name__ :					Dict  			=  {}
  			__magic_name__ :					Union[str, Any]  			=  add_prefix_space
  
  			# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  			__magic_name__ :					Union[str, Any]  			=  re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'    )
  
  
  
  
  
  
  
  		@property
  		# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
  		def      __lowerCAmelCase	(      self	:		str    )						->				List[Any]:
  			return len(self.encoder    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Tuple    )						->				Any:
  			return dict(self.encoder						,  **self.added_tokens_encoder    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Any						,  _A	:		Union[str, Any]    )						->				str:
  			if token in self.cache:
  				return self.cache[token]
  			__magic_name__ :					Tuple  			=  tuple(_A    )
  			__magic_name__ :					List[Any]  			=  get_pairs(_A    )
  
  			if not pairs:
  				return token
  
  			while True:
  				__magic_name__ :					Any  			=  min(_A						,  key=lambda _A    : self.bpe_ranks.get(_A						,  float('inf'    )    )    )
  				if bigram not in self.bpe_ranks:
  					break
  				__magic_name__			,       __magic_name__ :					List[Any]  			=  bigram
  				__magic_name__ :					Dict  			=  []
  				__magic_name__ :					str  			=  0
  				while i < len(_A    ):
  					try:
  						__magic_name__ :					Any  			=  word.index(_A						,  _A    )
  					except ValueError:
  						new_word.extend(word[i:]    )
  						break
  					else:
  						new_word.extend(word[i:j]    )
  						__magic_name__ :					List[Any]  			=  j
  
  					if word[i] == first and i < len(_A    ) - 1 and word[i + 1] == second:
  						new_word.append(first + second    )
  						i += 2
  					else:
  						new_word.append(word[i]    )
  						i += 1
  				__magic_name__ :					Union[str, Any]  			=  tuple(_A    )
  				__magic_name__ :					int  			=  new_word
  				if len(_A    ) == 1:
  					break
  				else:
  					__magic_name__ :					str  			=  get_pairs(_A    )
  			__magic_name__ :					Optional[Any]  			=  ' '.join(_A    )
  			__magic_name__ :					int  			=  word
  			return word
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]						,  _A	:		List[int]						,  _A	:		Optional[List[int]] = None    )						->				List[int]:
  			if token_ids_a is None:
  				return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  			__magic_name__ :					List[Any]  			=  [self.cls_token_id]
  			__magic_name__ :					int  			=  [self.sep_token_id]
  			return cls + token_ids_a + sep + token_ids_a + sep
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Optional[int]						,  _A	:		List[int]						,  _A	:		Optional[List[int]] = None						,  _A	:		bool = False    )						->				List[int]:
  			if already_has_special_tokens:
  				return super().get_special_tokens_mask(
  				    token_ids_a=_A						,  token_ids_a=_A						,  already_has_special_tokens=_A    )
  
  			if token_ids_a is None:
  				return [1] + ([0] * len(_A    )) + [1]
  			return [1] + ([0] * len(_A    )) + [1] + ([0] * len(_A    )) + [1]
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Any						,  _A	:		List[int]						,  _A	:		Optional[List[int]] = None    )						->				List[int]:
  			__magic_name__ :					Optional[Any]  			=  [self.sep_token_id]
  			__magic_name__ :					Tuple  			=  [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	:		Optional[Any]						,  _A	:		Optional[int]    )						->				Any:
  			__magic_name__ :					str  			=  []
  			for token in re.findall(self.pat						,  _A    ):
  				__magic_name__ :					Union[str, Any]  			=  ''.join(
  				    self.byte_encoder[b] for b in token.encode('utf-8'    )    )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
  				bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_A    ).split(' '    )    )
  			return bpe_tokens
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Dict						,  _A	:		Optional[Any]    )						->				str:
  			return self.encoder.get(_A						,  self.encoder.get(self.unk_token    )    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		str						,  _A	:		Dict    )						->				List[str]:
  			return self.decoder.get(_A    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		str						,  _A	:		Dict    )						->				List[str]:
  			__magic_name__ :					int  			=  ''.join(_A    )
  			__magic_name__ :					List[Any]  			=  bytearray([self.byte_decoder[c] for c in text]    ).decode('utf-8'						,  errors=self.errors    )
  			return text
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]						,  _A	:		str						,  _A	:		Optional[str] = None    )						->				Tuple[str]:
  			if not os.path.isdir(_A    ):
  				logger.error(F'Vocabulary path ({save_directory}) should be a directory'    )
  				return
  			__magic_name__ :					Tuple  			=  os.path.join(
  			    _A						,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
  			__magic_name__ :					List[str]  			=  os.path.join(
  			    _A						,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )
  
  			with open(_A						,  'w'						,  encoding='utf-8'    ) as f:
  				f.write(json.dumps(self.encoder						,  indent=2						,  sort_keys=_A						,  ensure_ascii=_A    ) + '\n'    )
  
  			__magic_name__ :					Any  			=  0
  			with open(_A						,  'w'						,  encoding='utf-8'    ) as writer:
  				writer.write('#version: 0.2\n'    )
  				for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,  key=lambda _A    : kv[1]    ):
  					if index != token_index:
  						logger.warning(
  						    F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
  						    ' Please check that the tokenizer is not corrupted!'    )
  						__magic_name__ :					List[str]  			=  token_index
  					writer.write(' '.join(_A    ) + '\n'    )
  					index += 1
  
  			return vocab_file, merge_file
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Tuple						,  _A	:		Optional[Any]						,  _A	:		Union[str, Any]=False						,  **_A	:		Optional[int]    )						->				Dict:
  			__magic_name__ :					Any  			=  kwargs.pop('add_prefix_space'						,  self.add_prefix_space    )
  			if (is_split_into_words or add_prefix_space) and (len(_A    ) > 0 and not text[0].isspace()):
  				__magic_name__ :					List[Any]  			=  ' ' + text
  			return (text, kwargs)
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		"Conversation"    )						->				List[int]:
  			__magic_name__ :					List[str]  			=  []
  			for is_user, text in conversation.iter_texts():
  				input_ids.extend(self.encode(_A						,  add_special_tokens=_A    ) + [self.eos_token_id]    )
  			if len(_A    ) > self.model_max_length:
  				__magic_name__ :					Optional[Any]  			=  input_ids[-self.model_max_length :]
  			return input_ids
style_context: 
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			list[int | float]	,	lowerCAmelCase       :			int	,	lowerCAmelCase       :			int	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	if len(lowerCAmelCase	) == 0:
  		raise ValueError('find_min() arg is an empty sequence'	)
  	if (
  	    left >= len(lowerCAmelCase	)
  	    or left < -len(lowerCAmelCase	)
  	    or right >= len(lowerCAmelCase	)
  	    or right < -len(lowerCAmelCase	)
  	):
  		raise IndexError('list index out of range'	)
  	if left == right:
  		return nums[left]
  	__magic_name__ :					Tuple  			=  (left + right) >> 1  # the middle
  	__magic_name__ :					str  			=  find_min(lowerCAmelCase	,	lowerCAmelCase	,	lowerCAmelCase	)  # find min in range[left, mid]
  	__magic_name__ :					Optional[Any]  			=  find_min(lowerCAmelCase	,	mid + 1	,	lowerCAmelCase	)  # find min in range[mid + 1, right]
  
  	return left_min if left_min <= right_min else right_min
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod(verbose=True)