code: 
  
  
  import json
  import os
  from functools import lru_cache
  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       :       Any				   =			logging.get_logger(__name__)
  
  __lowerCamelCase       :       List[Any]				   =			{
      "vocab_file": "vocab.json",
      "merges_file": "merges.txt",
  }
  
  __lowerCamelCase       :       str				   =			{
      "vocab_file": {
          "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
          "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
          "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
          "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
          "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
      },
      "merges_file": {
          "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
          "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
          "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
          "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
          "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
      },
  }
  
  __lowerCamelCase       :       Any				   =			{
      "gpt2": 1024,
      "gpt2-medium": 1024,
      "gpt2-large": 1024,
      "gpt2-xl": 1024,
      "distilgpt2": 1024,
  }
  @lru_cache()
  def   SCREAMING_SNAKE_CASE__						(							)			->							Dict:
  				A__     :							List[Any]   				=(
  				    list(range(ord('''!'''	),	ord('''~'''	) + 1	)	) + list(range(ord('''¡'''	),	ord('''¬'''	) + 1	)	) + list(range(ord('''®'''	),	ord('''ÿ'''	) + 1	)	)
  				)
  				A__     :							List[Any]   				=bs[:]
  				A__     :							int   				=0
  				for b in range(2**8	):
  								if b not in bs:
  												bs.append(snake_case_	)
  												cs.append(2**8 + n	)
  												n += 1
  				A__     :							Dict   				=[chr(snake_case_	) for n in cs]
  				return dict(zip(snake_case_,	snake_case_	)	)
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							Any:
  				A__     :							Dict   				=set()
  				A__     :							List[str]   				=word[0]
  				for char in word[1:]:
  								pairs.add((prev_char, char)	)
  								A__     :							List[str]   				=char
  				return pairs
  
  
  
  
  class 			a      (      lowerCAmelCase__   ):
  		__lowercase													=		VOCAB_FILES_NAMES
  		__lowercase													=		PRETRAINED_VOCAB_FILES_MAP
  		__lowercase													=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		__lowercase													=		["""input_ids""", """attention_mask"""]
  
  
  
  
  
  
  		def __init__(  self	,     __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase="replace"	,     __UpperCamelCase="<|endoftext|>"	,     __UpperCamelCase="<|endoftext|>"	,     __UpperCamelCase="<|endoftext|>"	,     __UpperCamelCase=None	,     __UpperCamelCase=False	,     __UpperCamelCase=False	,     **__UpperCamelCase	,     )->			Optional[int]:
  						'''simple docstring'''
  
  
  						A__     :							List[Any]   				=AddedToken(lowerCAmelCase_	,     lstrip=lowerCAmelCase_	,     rstrip=lowerCAmelCase_							) if isinstance(lowerCAmelCase_	,     lowerCAmelCase_							) else bos_token
  						A__     :							Tuple   				=AddedToken(lowerCAmelCase_	,     lstrip=lowerCAmelCase_	,     rstrip=lowerCAmelCase_							) if isinstance(lowerCAmelCase_	,     lowerCAmelCase_							) else eos_token
  						A__     :							str   				=AddedToken(lowerCAmelCase_	,     lstrip=lowerCAmelCase_	,     rstrip=lowerCAmelCase_							) if isinstance(lowerCAmelCase_	,     lowerCAmelCase_							) else unk_token
  						A__     :							Any   				=AddedToken(lowerCAmelCase_	,     lstrip=lowerCAmelCase_	,     rstrip=lowerCAmelCase_							) if isinstance(lowerCAmelCase_	,     lowerCAmelCase_							) else pad_token
  						super().__init__(
  						    errors=lowerCAmelCase_	,     unk_token=lowerCAmelCase_	,     bos_token=lowerCAmelCase_	,     eos_token=lowerCAmelCase_	,     pad_token=lowerCAmelCase_	,     add_prefix_space=lowerCAmelCase_	,     add_bos_token=lowerCAmelCase_	,     **lowerCAmelCase_	,     )
  						A__     :							Optional[int]   				=add_bos_token
  
  						with open(lowerCAmelCase_	,     encoding='''utf-8'''							) as vocab_handle:
  										A__     :							str   				=json.load(lowerCAmelCase_							)
  						A__     :							List[Any]   				={v: k for k, v in self.encoder.items()}
  						A__     :							List[str]   				=errors  # how to handle errors in decoding
  						A__     :							Dict   				=bytes_to_unicode()
  						A__     :							Optional[int]   				={v: k for k, v in self.byte_encoder.items()}
  						with open(lowerCAmelCase_	,     encoding='''utf-8'''							) as merges_handle:
  										A__     :							Tuple   				=merges_handle.read().split('''\n'''							)[1:-1]
  						A__     :							Dict   				=[tuple(merge.split()							) for merge in bpe_merges]
  						A__     :							Union[str, Any]   				=dict(zip(lowerCAmelCase_	,     range(len(lowerCAmelCase_							)							)							)							)
  						A__     :							Tuple   				={}
  						A__     :							Any   				=add_prefix_space
  
  						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  						A__     :							Optional[Any]   				=re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''							)
  
  
  
  
  
  
  		@property
  		def       lowerCAmelCase_  (  self							)->			Dict:
  						'''simple docstring'''
  
  
  						return len(self.encoder							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[Any]:
  						'''simple docstring'''
  
  
  						return dict(self.encoder	,     **self.added_tokens_encoder							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			str:
  						'''simple docstring'''
  
  
  						if token in self.cache:
  										return self.cache[token]
  						A__     :							int   				=tuple(lowerCAmelCase_							)
  						A__     :							List[Any]   				=get_pairs(lowerCAmelCase_							)
  
  						if not pairs:
  										return token
  
  						while True:
  										A__     :							Tuple   				=min(lowerCAmelCase_	,     key=lambda __UpperCamelCase							: self.bpe_ranks.get(lowerCAmelCase_	,     float('''inf'''							)							)							)
  										if bigram not in self.bpe_ranks:
  														break
  										A__				,  A__     :							int   				=bigram
  										A__     :							Dict   				=[]
  										A__     :							Union[str, Any]   				=0
  										while i < len(lowerCAmelCase_							):
  														try:
  																		A__     :							List[str]   				=word.index(lowerCAmelCase_	,     lowerCAmelCase_							)
  														except ValueError:
  																		new_word.extend(word[i:]							)
  																		break
  														else:
  																		new_word.extend(word[i:j]							)
  																		A__     :							int   				=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
  										A__     :							Dict   				=tuple(lowerCAmelCase_							)
  										A__     :							str   				=new_word
  										if len(lowerCAmelCase_							) == 1:
  														break
  										else:
  														A__     :							int   				=get_pairs(lowerCAmelCase_							)
  						A__     :							Tuple   				=''' '''.join(lowerCAmelCase_							)
  						A__     :							Optional[int]   				=word
  						return word
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase	,     __UpperCamelCase=None							)->			Any:
  						'''simple docstring'''
  
  
  						if self.add_bos_token:
  										A__     :							int   				=[self.bos_token_id]
  						else:
  										A__     :							Optional[int]   				=[]
  
  						A__     :							List[Any]   				=bos_token_ids + token_ids_a
  
  						if token_ids_a is None:
  										return output
  
  						return output + bos_token_ids + token_ids_a
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase	,     __UpperCamelCase = None	,     __UpperCamelCase = False							)->			List[int]:
  						'''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 not self.add_bos_token:
  										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_							))
  						return [1] + ([0] * len(lowerCAmelCase_							)) + [1] + ([0] * len(lowerCAmelCase_							))
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			str:
  						'''simple docstring'''
  
  
  						A__     :							List[Any]   				=[]
  						for token in re.findall(self.pat	,     lowerCAmelCase_							):
  										A__     :							List[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(lowerCAmelCase_							).split(''' '''							)							)
  						return bpe_tokens
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			Tuple:
  						'''simple docstring'''
  
  
  						return self.encoder.get(lowerCAmelCase_	,     self.encoder.get(self.unk_token							)							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			int:
  						'''simple docstring'''
  
  
  						return self.decoder.get(lowerCAmelCase_							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			Union[str, Any]:
  						'''simple docstring'''
  
  
  						A__     :							Union[str, Any]   				=''''''.join(lowerCAmelCase_							)
  						A__     :							List[Any]   				=bytearray([self.byte_decoder[c] for c in text]							).decode('''utf-8'''	,     errors=self.errors							)
  						return text
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase	,     __UpperCamelCase = None							)->			Tuple[str]:
  						'''simple docstring'''
  
  
  						if not os.path.isdir(lowerCAmelCase_							):
  										logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
  										return
  						A__     :							Any   				=os.path.join(
  						    lowerCAmelCase_	,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
  						A__     :							Dict   				=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'''							)
  
  						A__     :							Tuple   				=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!'''							)
  																		A__     :							Union[str, Any]   				=token_index
  														writer.write(''' '''.join(lowerCAmelCase_							) + '''\n'''							)
  														index += 1
  
  						return vocab_file, merge_file
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase	,     __UpperCamelCase=False	,     **__UpperCamelCase							)->			Dict:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=kwargs.pop('''add_prefix_space'''	,     self.add_prefix_space							)
  						if is_split_into_words or add_prefix_space:
  										A__     :							Any   				=''' ''' + text
  						return (text, kwargs)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			List[int]:
  						'''simple docstring'''
  
  
  						A__     :							int   				=[]
  						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:
  										A__     :							int   				=input_ids[-self.model_max_length :]
  						return input_ids
  
  
  
  
style_context: 
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							Dict:
  				A__     :							Dict   				=len(snake_case_	)
  				for i in range(length - 1	):
  								A__     :							List[Any]   				=False
  								for j in range(length - 1 - i	):
  												if collection[j] > collection[j + 1]:
  																A__     :							Dict   				=True
  																A__				,  A__     :							Union[str, Any]   				=collection[j + 1], collection[j]
  								if not swapped:
  												break  # Stop iteration if the collection is sorted.
  				return collection
  
  
  if __name__ == "__main__":
  						import doctest
  						import time
  
  						doctest.testmod()
  
  						__lowerCamelCase       :       Union[str, Any]				   =			input("Enter numbers separated by a comma:").strip()
  						__lowerCamelCase       :       Optional[int]				   =			[int(item) for item in user_input.split(",")]
  						__lowerCamelCase       :       Optional[int]				   =			time.process_time()
  						print(*bubble_sort(unsorted), sep=",")
  						print(F"Processing time: {(time.process_time() - start)%1E9 + 7}")
  
  
  
  