code: 
  
  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
  
  A_:      Optional[Any]        =			logging.get_logger(__name__)
  
  A_:      str        =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}
  
  A_:      Optional[int]        =			{
      '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'
          ),
      },
  }
  
  A_:      int        =			{
      'microsoft/deberta-base': 512,
      'microsoft/deberta-large': 512,
      'microsoft/deberta-xlarge': 512,
      'microsoft/deberta-base-mnli': 512,
      'microsoft/deberta-large-mnli': 512,
      'microsoft/deberta-xlarge-mnli': 512,
  }
  
  A_:      List[Any]        =			{
      'microsoft/deberta-base': {'do_lower_case': False},
      'microsoft/deberta-large': {'do_lower_case': False},
  }
  
  
  def 					__lowerCAmelCase			(  ):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	(
  							    list(range(ord("""!"""					) ,ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					) ,ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					) ,ord("""ÿ"""					) + 1					)					)
  							)
  							_lowercase				=	bs[:]
  							_lowercase				=	0
  							for b in range(2**8					):
  														if b not in bs:
  																					bs.append(UpperCamelCase__					)
  																					cs.append(2**8 + n					)
  																					n += 1
  							_lowercase				=	[chr(UpperCamelCase__					) for n in cs]
  							return dict(zip(UpperCamelCase__ ,UpperCamelCase__					)					)
  
  
  def 					__lowerCAmelCase			(  _A					):
  
  
  
  							"""simple docstring"""
  
  
  							_lowercase				=	set()
  							_lowercase				=	word[0]
  							for char in word[1:]:
  														pairs.add((prev_char, char)					)
  														_lowercase				=	char
  							return pairs
  
  
  
  
  
  
  
  class _lowercase					(       _UpperCAmelCase						):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  							lowerCAmelCase__       =					VOCAB_FILES_NAMES
  							lowerCAmelCase__       =					PRETRAINED_VOCAB_FILES_MAP
  							lowerCAmelCase__       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  							lowerCAmelCase__       =					['input_ids', 'attention_mask', 'token_type_ids']
  
  
  
  							def __init__(    self     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase="replace"     ,   UpperCAmelCase="[CLS]"     ,   UpperCAmelCase="[SEP]"     ,   UpperCAmelCase="[SEP]"     ,   UpperCAmelCase="[CLS]"     ,   UpperCAmelCase="[UNK]"     ,   UpperCAmelCase="[PAD]"     ,   UpperCAmelCase="[MASK]"     ,   UpperCAmelCase=False     ,   UpperCAmelCase=False     ,   **UpperCAmelCase     ,   ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else bos_token
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else eos_token
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else sep_token
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else cls_token
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else unk_token
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else pad_token
  
  														# Mask token behave like a normal word, i.e. include the space before it
  														_lowercase				=	AddedToken(__lowerCamelCase     ,   lstrip=__lowerCamelCase     ,   rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase     ,   __lowerCamelCase  ) else mask_token
  
  														super().__init__(
  														    errors=__lowerCamelCase     ,   bos_token=__lowerCamelCase     ,   eos_token=__lowerCamelCase     ,   unk_token=__lowerCamelCase     ,   sep_token=__lowerCamelCase     ,   cls_token=__lowerCamelCase     ,   pad_token=__lowerCamelCase     ,   mask_token=__lowerCamelCase     ,   add_prefix_space=__lowerCamelCase     ,   add_bos_token=__lowerCamelCase     ,   **__lowerCamelCase     ,   )
  														_lowercase				=	add_bos_token
  
  														with open(__lowerCamelCase     ,   encoding="""utf-8"""  ) as vocab_handle:
  																					_lowercase				=	json.load(__lowerCamelCase  )
  														_lowercase				=	{v: k for k, v in self.encoder.items()}
  														_lowercase				=	errors  # how to handle errors in decoding
  														_lowercase				=	bytes_to_unicode()
  														_lowercase				=	{v: k for k, v in self.byte_encoder.items()}
  														with open(__lowerCamelCase     ,   encoding="""utf-8"""  ) as merges_handle:
  																					_lowercase				=	merges_handle.read().split("""\n"""  )[1:-1]
  														_lowercase				=	[tuple(merge.split()  ) for merge in bpe_merges]
  														_lowercase				=	dict(zip(__lowerCamelCase     ,   range(len(__lowerCamelCase  )  )  )  )
  														_lowercase				=	{}
  														_lowercase				=	add_prefix_space
  
  														# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  														_lowercase				=	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     _UpperCAmelCase       (    self  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														return len(self.encoder  )
  
  
  
  							def     _UpperCAmelCase       (    self  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														return dict(self.encoder     ,   **self.added_tokens_encoder  )
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if token in self.cache:
  																					return self.cache[token]
  														_lowercase				=	tuple(__lowerCamelCase  )
  														_lowercase				=	get_pairs(__lowerCamelCase  )
  
  														if not pairs:
  																					return token
  
  														while True:
  																					_lowercase				=	min(__lowerCamelCase     ,   key=lambda UpperCAmelCase  : self.bpe_ranks.get(__lowerCamelCase     ,   float("""inf"""  )  )  )
  																					if bigram not in self.bpe_ranks:
  																												break
  																					_lowercase				=	bigram
  																					_lowercase				=	[]
  																					_lowercase				=	0
  																					while i < len(__lowerCamelCase  ):
  																												try:
  																																			_lowercase				=	word.index(__lowerCamelCase     ,   __lowerCamelCase  )
  																												except ValueError:
  																																			new_word.extend(word[i:]  )
  																																			break
  																												else:
  																																			new_word.extend(word[i:j]  )
  																																			_lowercase				=	j
  
  																												if word[i] == first and i < len(__lowerCamelCase  ) - 1 and word[i + 1] == second:
  																																			new_word.append(first + second  )
  																																			i += 2
  																												else:
  																																			new_word.append(word[i]  )
  																																			i += 1
  																					_lowercase				=	tuple(__lowerCamelCase  )
  																					_lowercase				=	new_word
  																					if len(__lowerCamelCase  ) == 1:
  																												break
  																					else:
  																												_lowercase				=	get_pairs(__lowerCamelCase  )
  														_lowercase				=	" ".join(__lowerCamelCase  )
  														_lowercase				=	word
  														return word
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if token_ids_a is None:
  																					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  														_lowercase				=	[self.cls_token_id]
  														_lowercase				=	[self.sep_token_id]
  														return cls + token_ids_a + sep + token_ids_a + sep
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None     ,   UpperCAmelCase = False  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if already_has_special_tokens:
  																					return super().get_special_tokens_mask(
  																					    token_ids_a=__lowerCamelCase     ,   token_ids_a=__lowerCamelCase     ,   already_has_special_tokens=__lowerCamelCase  )
  
  														if token_ids_a is None:
  																					return [1] + ([0] * len(__lowerCamelCase  )) + [1]
  														return [1] + ([0] * len(__lowerCamelCase  )) + [1] + ([0] * len(__lowerCamelCase  )) + [1]
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	[self.sep_token_id]
  														_lowercase				=	[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     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	[]
  														for token in re.findall(self.pat     ,   __lowerCamelCase  ):
  																					_lowercase				=	"".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(__lowerCamelCase  ).split(""" """  )  )
  														return bpe_tokens
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														return self.encoder.get(__lowerCamelCase     ,   self.encoder.get(self.unk_token  )  )
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														return self.decoder.get(__lowerCamelCase  )
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	"".join(__lowerCamelCase  )
  														_lowercase				=	bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""     ,   errors=self.errors  )
  														return text
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														if not os.path.isdir(__lowerCamelCase  ):
  																					logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
  																					return
  														_lowercase				=	os.path.join(
  														    __lowerCamelCase     ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
  														_lowercase				=	os.path.join(
  														    __lowerCamelCase     ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )
  
  														with open(__lowerCamelCase     ,   """w"""     ,   encoding="""utf-8"""  ) as f:
  																					f.write(json.dumps(self.encoder     ,   indent=2     ,   sort_keys=__lowerCamelCase     ,   ensure_ascii=__lowerCamelCase  ) + """\n"""  )
  
  														_lowercase				=	0
  														with open(__lowerCamelCase     ,   """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 UpperCAmelCase  : 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!"""  )
  																																			_lowercase				=	token_index
  																												writer.write(""" """.join(__lowerCamelCase  ) + """\n"""  )
  																												index += 1
  
  														return vocab_file, merge_file
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase=False     ,   **UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	kwargs.pop("""add_prefix_space"""     ,   self.add_prefix_space  )
  														if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase  ) > 0 and not text[0].isspace()):
  																					_lowercase				=	" " + text
  														return (text, kwargs)
  
  
  
  							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase  ):
  
  
  
  
  
  
  
  														'''simple docstring'''
  
  
  
  
  
  
  														_lowercase				=	[]
  														for is_user, text in conversation.iter_texts():
  																					input_ids.extend(self.encode(__lowerCamelCase     ,   add_special_tokens=__lowerCamelCase  ) + [self.eos_token_id]  )
  														if len(__lowerCamelCase  ) > self.model_max_length:
  																					_lowercase				=	input_ids[-self.model_max_length :]
  														return input_ids
  
  
  
style_context: def 					__lowerCAmelCase			(  _A					):
  
  
  
  							"""simple docstring"""
  
  
  							if len(_A					) <= 1:
  														return data
  							else:
  														return [
  														    *quick_sort([e for e in data[1:] if e <= data[0]]					),
  														    data[0],
  														    *quick_sort([e for e in data[1:] if e > data[0]]					),
  														]
  
  
  if __name__ == "__main__":
  				import doctest
  
  				doctest.testmod()
  
  
  