code: 
  
  
  '''simple docstring'''
  
  
  
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
        from .tokenization_xglm import XGLMTokenizer
  else:
        A__	:      Tuple				=						None
  
  
  A__	:      Optional[int]				=						logging.get_logger(__name__)
  
  A__	:      Any				=						{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}
  
  A__	:      Any				=						{
      """vocab_file""": {
          """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
      },
      """tokenizer_file""": {
          """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json""",
      },
  }
  
  A__	:      Tuple				=						{
      """facebook/xglm-564M""": 2048,
  }
  
  
  
  
  
  class      UpperCAmelCase_						(_UpperCAmelCase						):
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
      lowerCamelCase						:      List[Any]							  =    VOCAB_FILES_NAMES
      lowerCamelCase						:      Optional[Any]							  =    PRETRAINED_VOCAB_FILES_MAP
      lowerCamelCase						:      Any							  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCamelCase						:      int							  =    ['input_ids', 'attention_mask']
      lowerCamelCase						:      Any							  =    XGLMTokenizer
  
  
  
  
  
  
  
      def __init__(							self    ,  SCREAMING_SNAKE_CASE_=None    ,  SCREAMING_SNAKE_CASE_=None    ,  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_    ,  )       ->  int:
           # Compatibility with the original tokenizer
           __lowerCamelCase     :			List[str]              =	7
           __lowerCamelCase     :			Dict              =	[f'<madeupword{i}>' for i in range(self.num_madeup_words			)]
  
           __lowerCamelCase     :			int              =	kwargs.get('additional_special_tokens'    ,  []			)
           kwargs["additional_special_tokens"] += [
               word for word in madeup_words if word not in kwargs["additional_special_tokens"]
           ]
  
           super().__init__(
               SCREAMING_SNAKE_CASE_    ,  tokenizer_file=SCREAMING_SNAKE_CASE_    ,  bos_token=SCREAMING_SNAKE_CASE_    ,  eos_token=SCREAMING_SNAKE_CASE_    ,  sep_token=SCREAMING_SNAKE_CASE_    ,  cls_token=SCREAMING_SNAKE_CASE_    ,  unk_token=SCREAMING_SNAKE_CASE_    ,  pad_token=SCREAMING_SNAKE_CASE_    ,  **SCREAMING_SNAKE_CASE_    ,  )
  
           __lowerCamelCase     :			List[str]              =	vocab_file
           __lowerCamelCase     :			List[Any]              =	False if not self.vocab_file else True
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  List[int]:
  
           if token_ids_a is None:
                return [self.sep_token_id] + token_ids_a
           __lowerCamelCase     :			Dict              =	[self.sep_token_id]
           return sep + token_ids_a + sep + sep + token_ids_a
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  List[int]:
           __lowerCamelCase     :			int              =	[self.sep_token_id]
  
           if token_ids_a is None:
                return len(sep + token_ids_a			) * [0]
           return len(sep + token_ids_a + sep + sep + token_ids_a			) * [0]
  
  
  
  
  
  
  
      def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Tuple[str]:
           if not self.can_save_slow_tokenizer:
                raise ValueError(
                    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                    'tokenizer.'			)
  
           if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory.'			)
                return
           __lowerCamelCase     :			Tuple              =	os.path.join(
               SCREAMING_SNAKE_CASE_    ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
  
           if os.path.abspath(self.vocab_file			) != os.path.abspath(SCREAMING_SNAKE_CASE_			):
                copyfile(self.vocab_file    ,  SCREAMING_SNAKE_CASE_			)
  
           return (out_vocab_file,)
  
  
  
  
  
  
  
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()
  
  
  
  
  
  
  