code: 
  
  
  '''simple docstring'''
  
  
  
  import json
  import os
  from functools import lru_cache
  from typing import List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  __SCREAMING_SNAKE_CASE	:      Optional[Any]				=						logging.get_logger(__name__)
  
  __SCREAMING_SNAKE_CASE	:      List[str]				=						{
      '''vocab_file''': '''vocab.json''',
      '''merges_file''': '''merges.txt''',
  }
  
  __SCREAMING_SNAKE_CASE	:      Union[str, Any]				=						{
      '''vocab_file''': {
          '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
          '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
          '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
          '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
          '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
          '''roberta-large-openai-detector''': (
              '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
          ),
      },
      '''merges_file''': {
          '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
          '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
          '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
          '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
          '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
          '''roberta-large-openai-detector''': (
              '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
          ),
      },
  }
  
  __SCREAMING_SNAKE_CASE	:      int				=						{
      '''roberta-base''': 512,
      '''roberta-large''': 512,
      '''roberta-large-mnli''': 512,
      '''distilroberta-base''': 512,
      '''roberta-base-openai-detector''': 512,
      '''roberta-large-openai-detector''': 512,
  }
  
  
  
  @lru_cache()
  def     UpperCAmelCase__      (			)  ->	Union[str, Any]:
       __lowerCamelCase     :			str              =	(
           list(range(ord('!'							)   ,					ord('~'							) + 1							)							) + list(range(ord('¡'							)   ,					ord('¬'							) + 1							)							) + list(range(ord('®'							)   ,					ord('ÿ'							) + 1							)							)
       )
       __lowerCamelCase     :			str              =	bs[:]
       __lowerCamelCase     :			Any              =	0
       for b in range(2**8							):
            if b not in bs:
                 bs.append(_UpperCAmelCase							)
                 cs.append(2**8 + n							)
                 n += 1
       __lowerCamelCase     :			List[Any]              =	[chr(_UpperCAmelCase							) for n in cs]
       return dict(zip(_UpperCAmelCase   ,					_UpperCAmelCase							)							)
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       Union[str, Any]							)  ->	Any:
       __lowerCamelCase     :			Union[str, Any]              =	set()
       __lowerCamelCase     :			Dict              =	word[0]
       for char in word[1:]:
            pairs.add((prev_char, char)							)
            __lowerCamelCase     :			Tuple              =	char
       return pairs
  
  
  
  
  
  class      UpperCAmelCase_						(_UpperCAmelCase						):
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
      lowerCamelCase						:      str							  =    VOCAB_FILES_NAMES
      lowerCamelCase						:      Optional[int]							  =    PRETRAINED_VOCAB_FILES_MAP
      lowerCamelCase						:      Union[str, Any]							  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCamelCase						:      Dict							  =    ["input_ids", "attention_mask"]
  
  
  
  
  
  
  
      def __init__(							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_="replace"    ,  SCREAMING_SNAKE_CASE_="<s>"    ,  SCREAMING_SNAKE_CASE_="</s>"    ,  SCREAMING_SNAKE_CASE_="</s>"    ,  SCREAMING_SNAKE_CASE_="<s>"    ,  SCREAMING_SNAKE_CASE_="<unk>"    ,  SCREAMING_SNAKE_CASE_="<pad>"    ,  SCREAMING_SNAKE_CASE_="<mask>"    ,  SCREAMING_SNAKE_CASE_=False    ,  **SCREAMING_SNAKE_CASE_    ,  )       ->  List[Any]:
           __lowerCamelCase     :			List[str]              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else bos_token
           __lowerCamelCase     :			List[str]              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else eos_token
           __lowerCamelCase     :			Any              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else sep_token
           __lowerCamelCase     :			Tuple              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else cls_token
           __lowerCamelCase     :			str              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else unk_token
           __lowerCamelCase     :			Union[str, Any]              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else pad_token
  
           # Mask token behave like a normal word, i.e. include the space before it
           __lowerCamelCase     :			Dict              =	AddedToken(UpperCAmelCase_    ,  lstrip=UpperCAmelCase_    ,  rstrip=UpperCAmelCase_			) if isinstance(UpperCAmelCase_    ,  UpperCAmelCase_			) else mask_token
  
           super().__init__(
               errors=UpperCAmelCase_    ,  bos_token=UpperCAmelCase_    ,  eos_token=UpperCAmelCase_    ,  unk_token=UpperCAmelCase_    ,  sep_token=UpperCAmelCase_    ,  cls_token=UpperCAmelCase_    ,  pad_token=UpperCAmelCase_    ,  mask_token=UpperCAmelCase_    ,  add_prefix_space=UpperCAmelCase_    ,  **UpperCAmelCase_    ,  )
  
           with open(UpperCAmelCase_    ,  encoding='utf-8'			) as vocab_handle:
                __lowerCamelCase     :			str              =	json.load(UpperCAmelCase_			)
           __lowerCamelCase     :			Any              =	{v: k for k, v in self.encoder.items()}
           __lowerCamelCase     :			Tuple              =	errors  # how to handle errors in decoding
           __lowerCamelCase     :			Tuple              =	bytes_to_unicode()
           __lowerCamelCase     :			Tuple              =	{v: k for k, v in self.byte_encoder.items()}
           with open(UpperCAmelCase_    ,  encoding='utf-8'			) as merges_handle:
                __lowerCamelCase     :			int              =	merges_handle.read().split('\n'			)[1:-1]
           __lowerCamelCase     :			Optional[Any]              =	[tuple(merge.split()			) for merge in bpe_merges]
           __lowerCamelCase     :			Tuple              =	dict(zip(UpperCAmelCase_    ,  range(len(UpperCAmelCase_			)			)			)			)
           __lowerCamelCase     :			Optional[Any]              =	{}
           __lowerCamelCase     :			Dict              =	add_prefix_space
  
           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           __lowerCamelCase     :			int              =	re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)
  
  
  
  
  
  
  
      @property
      def    lowercase_       (							self			)       ->  Tuple:
           return len(self.encoder			)
  
  
  
  
  
  
  
      def    lowercase_       (							self			)       ->  List[str]:
           return dict(self.encoder    ,  **self.added_tokens_encoder			)
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  str:
           if token in self.cache:
                return self.cache[token]
           __lowerCamelCase     :			List[Any]              =	tuple(UpperCAmelCase_			)
           __lowerCamelCase     :			List[Any]              =	get_pairs(UpperCAmelCase_			)
  
           if not pairs:
                return token
  
           while True:
                __lowerCamelCase     :			Optional[int]              =	min(UpperCAmelCase_    ,  key=lambda SCREAMING_SNAKE_CASE_			: self.bpe_ranks.get(UpperCAmelCase_    ,  float('inf'			)			)			)
                if bigram not in self.bpe_ranks:
                     break
                __lowerCamelCase     :			Tuple              =	bigram
                __lowerCamelCase     :			Dict              =	[]
                __lowerCamelCase     :			Tuple              =	0
                while i < len(UpperCAmelCase_			):
                     try:
                          __lowerCamelCase     :			Optional[int]              =	word.index(UpperCAmelCase_    ,  UpperCAmelCase_			)
                     except ValueError:
                          new_word.extend(word[i:]			)
                          break
                     else:
                          new_word.extend(word[i:j]			)
                          __lowerCamelCase     :			Tuple              =	j
  
                     if word[i] == first and i < len(UpperCAmelCase_			) - 1 and word[i + 1] == second:
                          new_word.append(first + second			)
                          i += 2
                     else:
                          new_word.append(word[i]			)
                          i += 1
                __lowerCamelCase     :			Union[str, Any]              =	tuple(UpperCAmelCase_			)
                __lowerCamelCase     :			Dict              =	new_word
                if len(UpperCAmelCase_			) == 1:
                     break
                else:
                     __lowerCamelCase     :			str              =	get_pairs(UpperCAmelCase_			)
           __lowerCamelCase     :			int              =	' '.join(UpperCAmelCase_			)
           __lowerCamelCase     :			Optional[int]              =	word
           return word
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
           __lowerCamelCase     :			Tuple              =	[]
           for token in re.findall(self.pat    ,  UpperCAmelCase_			):
                __lowerCamelCase     :			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(UpperCAmelCase_			).split(' '			)			)
           return bpe_tokens
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
           return self.encoder.get(UpperCAmelCase_    ,  self.encoder.get(self.unk_token			)			)
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[int]:
           return self.decoder.get(UpperCAmelCase_			)
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[int]:
           __lowerCamelCase     :			Union[str, Any]              =	''.join(UpperCAmelCase_			)
           __lowerCamelCase     :			Tuple              =	bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'    ,  errors=self.errors			)
           return text
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Dict:
           if not os.path.isdir(UpperCAmelCase_			):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory'			)
                return
           __lowerCamelCase     :			Any              =	os.path.join(
               UpperCAmelCase_    ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
           __lowerCamelCase     :			Any              =	os.path.join(
               UpperCAmelCase_    ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)
  
           with open(UpperCAmelCase_    ,  'w'    ,  encoding='utf-8'			) as f:
                f.write(json.dumps(self.encoder    ,  indent=2    ,  sort_keys=UpperCAmelCase_    ,  ensure_ascii=UpperCAmelCase_			) + '\n'			)
  
           __lowerCamelCase     :			List[str]              =	0
           with open(UpperCAmelCase_    ,  '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 SCREAMING_SNAKE_CASE_			: 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!'			)
                          __lowerCamelCase     :			List[str]              =	token_index
                     writer.write(' '.join(UpperCAmelCase_			) + '\n'			)
                     index += 1
  
           return vocab_file, merge_file
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Optional[Any]:
           if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           __lowerCamelCase     :			str              =	[self.cls_token_id]
           __lowerCamelCase     :			Dict              =	[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None    ,  SCREAMING_SNAKE_CASE_ = False			)       ->  Any:
           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 None:
                return [1] + ([0] * len(UpperCAmelCase_			)) + [1]
           return [1] + ([0] * len(UpperCAmelCase_			)) + [1, 1] + ([0] * len(UpperCAmelCase_			)) + [1]
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Union[str, Any]:
           __lowerCamelCase     :			Any              =	[self.sep_token_id]
           __lowerCamelCase     :			List[str]              =	[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 + sep + token_ids_a + sep			) * [0]
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_=False    ,  **SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
           __lowerCamelCase     :			Dict              =	kwargs.pop('add_prefix_space'    ,  self.add_prefix_space			)
           if (is_split_into_words or add_prefix_space) and (len(UpperCAmelCase_			) > 0 and not text[0].isspace()):
                __lowerCamelCase     :			Optional[int]              =	' ' + text
           return (text, kwargs)
  
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  A__	:      List[Any]				=						[0.3_3, 0.4_4, 0.5_5, 0.4_4, 0.3_3]
  A__	:      Dict				=						3
  A__	:      Union[str, Any]				=						5
  
  # Buffer Space (with Parameters Space)
  A__	:      list[float]				=						[]
  A__	:      list[float]				=						[]
  
  # Machine Time
  A__	:      Dict				=						0
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       List[str]							)  ->	str:
       global buffer_space, params_space, machine_time, K, m, t
  
       # Choosing Dynamical Systems (All)
       for key, value in enumerate(UpperCAmelCase_							):
            # Evolution Parameter
            __lowerCamelCase     :			List[str]              =	float(seed / value							)
  
            # Control Theory: Orbit Change
            __lowerCamelCase     :			Optional[int]              =	(buffer_space[(key + 1) % m] + e) % 1
  
            # Control Theory: Trajectory Change
            __lowerCamelCase     :			str              =	(params_space[key] + e) % 1 + 3
  
            # Modification (Transition Function) - Jumps
            __lowerCamelCase     :			List[Any]              =	round(float(r * value * (1 - value)							)   ,					10							)
            __lowerCamelCase     :			Tuple              =	r  # Saving to Parameters Space
  
       # Logistic Map
       assert max(UpperCAmelCase_							) < 1
       assert max(UpperCAmelCase_							) < 4
  
       # Machine Time
       machine_time += 1
  
  
  
  def     UpperCAmelCase__      (			)  ->	Optional[int]:
       global buffer_space, params_space, machine_time, K, m, t
  
       # PRNG (Xorshift by George Marsaglia)
       def xorshift(UpperCAmelCase_					:       Any   ,					UpperCAmelCase_					:       Tuple							):
            x ^= y >> 13
            y ^= x << 17
            x ^= y >> 5
            return x
  
       # Choosing Dynamical Systems (Increment)
       __lowerCamelCase     :			List[Any]              =	machine_time % m
  
       # Evolution (Time Length)
       for _ in range(0   ,					UpperCAmelCase_							):
            # Variables (Position + Parameters)
            __lowerCamelCase     :			Union[str, Any]              =	params_space[key]
            __lowerCamelCase     :			Optional[Any]              =	buffer_space[key]
  
            # Modification (Transition Function) - Flow
            __lowerCamelCase     :			str              =	round(float(r * value * (1 - value)							)   ,					10							)
            __lowerCamelCase     :			Dict              =	(machine_time * 0.01 + r * 1.01) % 1 + 3
  
       # Choosing Chaotic Data
       __lowerCamelCase     :			List[Any]              =	int(buffer_space[(key + 2) % m] * (10**10)							)
       __lowerCamelCase     :			List[str]              =	int(buffer_space[(key - 2) % m] * (10**10)							)
  
       # Machine Time
       machine_time += 1
  
       return xorshift(UpperCAmelCase_   ,					UpperCAmelCase_							) % 0xff_ff_ff_ff
  
  
  
  def     UpperCAmelCase__      (			)  ->	Any:
       global buffer_space, params_space, machine_time, K, m, t
  
       __lowerCamelCase     :			Union[str, Any]              =	K
       __lowerCamelCase     :			Optional[int]              =	[0] * m
       __lowerCamelCase     :			Tuple              =	0
  
  
  if __name__ == "__main__":
        # Initialization
        reset()
  
        # Pushing Data (Input)
        import random
  
        A__	:      Optional[Any]				=						random.sample(range(0XFFFFFFFF), 100)
        for chunk in message:
              push(chunk)
  
        # for controlling
        A__	:      Tuple				=						""""""
  
        # Pulling Data (Output)
        while inp in ("e", "E"):
              print(f'''{format(pull(), '#04x')}''')
              print(buffer_space)
              print(params_space)
              A__	:      Optional[Any]				=						input("""(e)exit? """).strip()
  
  
  
  
  
  
  