code: 
  
  
  '''simple docstring'''
  
  
  
  import os
  from string import ascii_letters
  
  __SCREAMING_SNAKE_CASE	:      str				=						ascii_letters + """ \t\n"""
  
  
  
  def     UpperCAmelCase__      (			)  ->	dict[str, None]:
       __lowerCamelCase     :			Tuple              =	os.path.split(os.path.realpath(UpperCAmelCase_							)							)
       __lowerCamelCase     :			dict[str, None]              =	{}
       with open(path[0] + '/dictionary.txt'							) as dictionary_file:
            for word in dictionary_file.read().split('\n'							):
                 __lowerCamelCase     :			int              =	None
       return english_words
  
  
  __SCREAMING_SNAKE_CASE	:      List[str]				=						load_dictionary()
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       str							)  ->	float:
       __lowerCamelCase     :			Tuple              =	message.upper()
       __lowerCamelCase     :			int              =	remove_non_letters(UpperCAmelCase_							)
       __lowerCamelCase     :			Dict              =	message.split()
       __lowerCamelCase     :			List[str]              =	len([word for word in possible_words if word in ENGLISH_WORDS]							)
       return float(UpperCAmelCase_							) / len(UpperCAmelCase_							)
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       str							)  ->	str:
       return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE							)
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       str   ,					UpperCAmelCase_					:       int = 20   ,					UpperCAmelCase_					:       int = 85							)  ->	bool:
       __lowerCamelCase     :			Tuple              =	get_english_count(UpperCAmelCase_							) * 1_00 >= word_percentage
       __lowerCamelCase     :			Any              =	len(remove_non_letters(UpperCAmelCase_							)							)
       __lowerCamelCase     :			str              =	(float(UpperCAmelCase_							) / len(UpperCAmelCase_							)) * 1_00
       __lowerCamelCase     :			List[Any]              =	message_letters_percentage >= letter_percentage
       return words_match and letters_match
  
  
  if __name__ == "__main__":
        import doctest
  
        doctest.testmod()
  
  
  
  
  
  
  
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()
  
  
  
  
  
  
  