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       :      int							=							logging.get_logger(__name__)
  
  _lowerCAmelCase       :      int							=							{"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       :      int							=							{
      "microsoft/deberta-base": 5_12,
      "microsoft/deberta-large": 5_12,
      "microsoft/deberta-xlarge": 5_12,
      "microsoft/deberta-base-mnli": 5_12,
      "microsoft/deberta-large-mnli": 5_12,
      "microsoft/deberta-xlarge-mnli": 5_12,
  }
  
  _lowerCAmelCase       :      str							=							{
      "microsoft/deberta-base": {"do_lower_case": False},
      "microsoft/deberta-large": {"do_lower_case": False},
  }
  
  def 		__snake_case		(   ):
  
  
  
  
  
       '''simple docstring'''
  
       _UpperCAmelCase    :			Any              =					(
           list(range(ord("!"       )		,						ord("~"       ) + 1       )       ) + list(range(ord("¡"       )		,						ord("¬"       ) + 1       )       ) + list(range(ord("®"       )		,						ord("ÿ"       ) + 1       )       )
       )
       _UpperCAmelCase    :			Tuple              =					bs[:]
       _UpperCAmelCase    :			List[str]              =					0
       for b in range(2**8       ):
            if b not in bs:
                 bs.append(_A       )
                 cs.append(2**8 + n       )
                 n += 1
       _UpperCAmelCase    :			Optional[Any]              =					[chr(_A       ) for n in cs]
       return dict(zip(_A		,						_A       )       )
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		Any       ):
  
  
  
  
  
       '''simple docstring'''
  
       _UpperCAmelCase    :			Tuple              =					set()
       _UpperCAmelCase    :			Dict              =					word[0]
       for char in word[1:]:
            pairs.add((prev_char, char)       )
            _UpperCAmelCase    :			List[str]              =					char
       return pairs
  
  
  
  
  
  
  class 			UpperCAmelCase_						(       lowerCamelCase__		):
        __SCREAMING_SNAKE_CASE		:     Optional[int]				  =				VOCAB_FILES_NAMES
        __SCREAMING_SNAKE_CASE		:     Tuple				  =				PRETRAINED_VOCAB_FILES_MAP
        __SCREAMING_SNAKE_CASE		:     Tuple				  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        __SCREAMING_SNAKE_CASE		:     Tuple				  =				['input_ids', 'attention_mask', 'token_type_ids']
  
  
  
        def __init__(  self  :			Dict  ,			A  :			List[str]  ,			A  :			Optional[int]  ,			A  :			Optional[int]="replace"  ,			A  :			Dict="[CLS]"  ,			A  :			str="[SEP]"  ,			A  :			str="[SEP]"  ,			A  :			int="[CLS]"  ,			A  :			str="[UNK]"  ,			A  :			int="[PAD]"  ,			A  :			Any="[MASK]"  ,			A  :			Optional[Any]=False  ,			A  :			str=False  ,			**A  :			Tuple  ,			):
             _UpperCAmelCase    :			Optional[Any]              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else bos_token
             _UpperCAmelCase    :			Any              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else eos_token
             _UpperCAmelCase    :			List[str]              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else sep_token
             _UpperCAmelCase    :			List[Any]              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else cls_token
             _UpperCAmelCase    :			Any              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else unk_token
             _UpperCAmelCase    :			int              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else pad_token
  
             # Mask token behave like a normal word, i.e. include the space before it
             _UpperCAmelCase    :			str              =					AddedToken(lowercase_  ,			lstrip=lowercase_  ,			rstrip=lowercase_		) if isinstance(lowercase_  ,			lowercase_		) else mask_token
  
             super().__init__(
                 errors=lowercase_  ,			bos_token=lowercase_  ,			eos_token=lowercase_  ,			unk_token=lowercase_  ,			sep_token=lowercase_  ,			cls_token=lowercase_  ,			pad_token=lowercase_  ,			mask_token=lowercase_  ,			add_prefix_space=lowercase_  ,			add_bos_token=lowercase_  ,			**lowercase_  ,			)
             _UpperCAmelCase    :			str              =					add_bos_token
  
             with open(lowercase_  ,			encoding="utf-8"		) as vocab_handle:
                  _UpperCAmelCase    :			Tuple              =					json.load(lowercase_		)
             _UpperCAmelCase    :			Optional[int]              =					{v: k for k, v in self.encoder.items()}
             _UpperCAmelCase    :			str              =					errors  # how to handle errors in decoding
             _UpperCAmelCase    :			Tuple              =					bytes_to_unicode()
             _UpperCAmelCase    :			Any              =					{v: k for k, v in self.byte_encoder.items()}
             with open(lowercase_  ,			encoding="utf-8"		) as merges_handle:
                  _UpperCAmelCase    :			int              =					merges_handle.read().split("\n"		)[1:-1]
             _UpperCAmelCase    :			Optional[int]              =					[tuple(merge.split()		) for merge in bpe_merges]
             _UpperCAmelCase    :			Union[str, Any]              =					dict(zip(lowercase_  ,			range(len(lowercase_		)		)		)		)
             _UpperCAmelCase    :			Optional[int]              =					{}
             _UpperCAmelCase    :			Union[str, Any]              =					add_prefix_space
  
             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             _UpperCAmelCase    :			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 		snake_case_      (  self  :			Any		):
             return len(self.encoder		)
  
  
  
        def 		snake_case_      (  self  :			Dict		):
             return dict(self.encoder  ,			**self.added_tokens_encoder		)
  
  
  
        def 		snake_case_      (  self  :			List[Any]  ,			A  :			List[str]		):
  
  
  
  
  
  
             if token in self.cache:
                  return self.cache[token]
             _UpperCAmelCase    :			List[str]              =					tuple(lowercase_		)
             _UpperCAmelCase    :			Optional[int]              =					get_pairs(lowercase_		)
  
             if not pairs:
                  return token
  
             while True:
                  _UpperCAmelCase    :			str              =					min(lowercase_  ,			key=lambda A		: self.bpe_ranks.get(lowercase_  ,			float("inf"		)		)		)
                  if bigram not in self.bpe_ranks:
                       break
                  _UpperCAmelCase       , _UpperCAmelCase    :			Any              =					bigram
                  _UpperCAmelCase    :			Optional[int]              =					[]
                  _UpperCAmelCase    :			int              =					0
                  while i < len(lowercase_		):
                       try:
                            _UpperCAmelCase    :			int              =					word.index(lowercase_  ,			lowercase_		)
                       except ValueError:
                            new_word.extend(word[i:]		)
                            break
                       else:
                            new_word.extend(word[i:j]		)
                            _UpperCAmelCase    :			Optional[Any]              =					j
  
                       if word[i] == first and i < len(lowercase_		) - 1 and word[i + 1] == second:
                            new_word.append(first + second		)
                            i += 2
                       else:
                            new_word.append(word[i]		)
                            i += 1
                  _UpperCAmelCase    :			Tuple              =					tuple(lowercase_		)
                  _UpperCAmelCase    :			Union[str, Any]              =					new_word
                  if len(lowercase_		) == 1:
                       break
                  else:
                       _UpperCAmelCase    :			Optional[Any]              =					get_pairs(lowercase_		)
             _UpperCAmelCase    :			Any              =					" ".join(lowercase_		)
             _UpperCAmelCase    :			Dict              =					word
             return word
  
  
  
        def 		snake_case_      (  self  :			int  ,			A  :			Union[str, Any]  ,			A  :			Optional[Any] = None		):
  
  
  
  
  
  
             if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             _UpperCAmelCase    :			List[Any]              =					[self.cls_token_id]
             _UpperCAmelCase    :			List[str]              =					[self.sep_token_id]
             return cls + token_ids_a + sep + token_ids_a + sep
  
  
  
        def 		snake_case_      (  self  :			Optional[int]  ,			A  :			Optional[int]  ,			A  :			Union[str, Any] = None  ,			A  :			Tuple = False		):
  
  
  
  
  
  
             if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=lowercase_  ,			token_ids_a=lowercase_  ,			already_has_special_tokens=lowercase_		)
  
             if token_ids_a is None:
                  return [1] + ([0] * len(lowercase_		)) + [1]
             return [1] + ([0] * len(lowercase_		)) + [1] + ([0] * len(lowercase_		)) + [1]
  
  
  
        def 		snake_case_      (  self  :			Optional[Any]  ,			A  :			Optional[int]  ,			A  :			Union[str, Any] = None		):
             _UpperCAmelCase    :			Any              =					[self.sep_token_id]
             _UpperCAmelCase    :			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		) * [0] + len(token_ids_a + sep		) * [1]
  
  
  
        def 		snake_case_      (  self  :			Optional[Any]  ,			A  :			List[Any]		):
             _UpperCAmelCase    :			Optional[Any]              =					[]
             for token in re.findall(self.pat  ,			lowercase_		):
                  _UpperCAmelCase    :			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(lowercase_		).split(" "		)		)
             return bpe_tokens
  
  
  
        def 		snake_case_      (  self  :			Optional[int]  ,			A  :			Optional[Any]		):
             return self.encoder.get(lowercase_  ,			self.encoder.get(self.unk_token		)		)
  
  
  
        def 		snake_case_      (  self  :			Union[str, Any]  ,			A  :			List[str]		):
             return self.decoder.get(lowercase_		)
  
  
  
        def 		snake_case_      (  self  :			Optional[int]  ,			A  :			str		):
             _UpperCAmelCase    :			List[Any]              =					"".join(lowercase_		)
             _UpperCAmelCase    :			Union[str, Any]              =					bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"  ,			errors=self.errors		)
             return text
  
  
  
        def 		snake_case_      (  self  :			Union[str, Any]  ,			A  :			Union[str, Any]  ,			A  :			Union[str, Any] = None		):
  
  
  
  
  
  
             if not os.path.isdir(lowercase_		):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
                  return
             _UpperCAmelCase    :			Union[str, Any]              =					os.path.join(
                 lowercase_  ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
             _UpperCAmelCase    :			Tuple              =					os.path.join(
                 lowercase_  ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)
  
             with open(lowercase_  ,			"w"  ,			encoding="utf-8"		) as f:
                  f.write(json.dumps(self.encoder  ,			indent=2  ,			sort_keys=lowercase_  ,			ensure_ascii=lowercase_		) + "\n"		)
  
             _UpperCAmelCase    :			Any              =					0
             with open(lowercase_  ,			"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!"		)
                            _UpperCAmelCase    :			str              =					token_index
                       writer.write(" ".join(lowercase_		) + "\n"		)
                       index += 1
  
             return vocab_file, merge_file
  
  
  
        def 		snake_case_      (  self  :			List[str]  ,			A  :			Optional[Any]  ,			A  :			Tuple=False  ,			**A  :			Any		):
             _UpperCAmelCase    :			Optional[int]              =					kwargs.pop("add_prefix_space"  ,			self.add_prefix_space		)
             if (is_split_into_words or add_prefix_space) and (len(lowercase_		) > 0 and not text[0].isspace()):
                  _UpperCAmelCase    :			str              =					" " + text
             return (text, kwargs)
  
  
  
        def 		snake_case_      (  self  :			Optional[int]  ,			A  :			int		):
             _UpperCAmelCase    :			int              =					[]
             for is_user, text in conversation.iter_texts():
                  input_ids.extend(self.encode(lowercase_  ,			add_special_tokens=lowercase_		) + [self.eos_token_id]		)
             if len(lowercase_		) > self.model_max_length:
                  _UpperCAmelCase    :			Tuple              =					input_ids[-self.model_max_length :]
             return input_ids
  
style_context: 
  
  
  
  """simple docstring"""
  
  
  
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:
  
  
  
  
  
       '''simple docstring'''
  
       if right <= left:
            return
       _UpperCAmelCase    :			Any              =					left
       _UpperCAmelCase    :			Tuple              =					right
       _UpperCAmelCase    :			List[Any]              =					sorting[left]
       while i <= b:
            if sorting[i] < pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			List[Any]              =					sorting[i], sorting[a]
                 a += 1
                 i += 1
            elif sorting[i] > pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			Any              =					sorting[i], sorting[b]
                 b -= 1
            else:
                 i += 1
       quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						a - 1       )
       quick_sort_apartition(SCREAMING_SNAKE_CASE__		,						b + 1		,						SCREAMING_SNAKE_CASE__       )
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     None:
  
  
  
  
  
       '''simple docstring'''
  
       if left < right:
            _UpperCAmelCase    :			Optional[int]              =					lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
            quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						pivot_index - 1       )
            quick_sort_lomuto_partition(SCREAMING_SNAKE_CASE__		,						pivot_index + 1		,						SCREAMING_SNAKE_CASE__       )
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     int:
  
  
  
  
  
       '''simple docstring'''
  
       _UpperCAmelCase    :			Dict              =					sorting[right]
       _UpperCAmelCase    :			Any              =					left
       for i in range(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            if sorting[i] < pivot:
                 _UpperCAmelCase       , _UpperCAmelCase    :			Dict              =					sorting[i], sorting[store_index]
                 store_index += 1
       _UpperCAmelCase       , _UpperCAmelCase    :			List[str]              =					sorting[store_index], sorting[right]
       return store_index
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     list:
  
  
  
  
  
       '''simple docstring'''
  
       if len(SCREAMING_SNAKE_CASE__       ) <= 1:
            return sorting
       return (
           three_way_radix_quicksort([i for i in sorting if i < sorting[0]]       )
           + [i for i in sorting if i == sorting[0]]
           + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]       )
       )
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod(verbose=True)
  
   _lowerCAmelCase       :      Union[str, Any]							=							input("Enter numbers separated by a comma:\n").strip()
   _lowerCAmelCase       :      List[str]							=							[int(item) for item in user_input.split(",")]
   quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
   print(unsorted)
  