code: 
  
  
  
  
  
  
  import os
  from string import ascii_letters
  
  SCREAMING_SNAKE_CASE__		:       Optional[Any]   							=							ascii_letters + """ \t\n"""
  
  
  
  
  
  def    _lowerCamelCase	(	)   -> dict[str, None]:
  
       '''simple docstring'''
       UpperCAmelCase__			:     Union[str, Any]										= os.path.split(os.path.realpath(__lowerCamelCase					)					)
       UpperCAmelCase__			:     dict[str, None]										= {}
       with open(path[0] + """/dictionary.txt"""					) as dictionary_file:
            for word in dictionary_file.read().split("""\n"""					):
                 UpperCAmelCase__			:     Optional[int]										= None
       return english_words
  
  
  SCREAMING_SNAKE_CASE__		:       Any   							=							load_dictionary()
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase					)   -> float:
  
       '''simple docstring'''
       UpperCAmelCase__			:     List[Any]										= message.upper()
       UpperCAmelCase__			:     Tuple										= remove_non_letters(__lowerCamelCase					)
       UpperCAmelCase__			:     Any										= message.split()
       UpperCAmelCase__			:     str										= len([word for word in possible_words if word in ENGLISH_WORDS]					)
       return float(__lowerCamelCase					) / len(__lowerCamelCase					)
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase					)   -> str:
  
       '''simple docstring'''
       return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE					)
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase = 20   ,       __lowerCamelCase = 85					)   -> bool:
  
       '''simple docstring'''
       UpperCAmelCase__			:     List[Any]										= get_english_count(__lowerCamelCase					) * 100 >= word_percentage
       UpperCAmelCase__			:     Tuple										= len(remove_non_letters(__lowerCamelCase					)					)
       UpperCAmelCase__			:     Any										= (float(__lowerCamelCase					) / len(__lowerCamelCase					)) * 100
       UpperCAmelCase__			:     Any										= message_letters_percentage >= letter_percentage
       return words_match and letters_match
  
  
  if __name__ == "__main__":
        import doctest
  
        doctest.testmod()
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  import random
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     :
  
  
  
  
       def __init__(							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
            UpperCAmelCase__			:     Union[str, Any]										= x
            UpperCAmelCase__			:     Union[str, Any]										= y
  
  
  
  
       def      __UpperCAmelCase     (							self		):
            return (self.x**2 + self.y**2) <= 1
  
  
  
  
       @classmethod
       def      __UpperCAmelCase     (							cls		):
            return cls(x=random.random()  ,	y=random.random()		)
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase					)   -> float:
  
       '''simple docstring'''
       if number_of_simulations < 1:
            raise ValueError("""At least one simulation is necessary to estimate PI."""					)
  
       UpperCAmelCase__			:     Dict										= 0
       for _ in range(__lowerCamelCase					):
            UpperCAmelCase__			:     Union[str, Any]										= Point.random_unit_square()
  
            if random_point.is_in_unit_circle():
                 number_in_unit_circle += 1
  
       return 4 * number_in_unit_circle / number_of_simulations
  
  
  if __name__ == "__main__":
        # import doctest
  
        # doctest.testmod()
        from math import pi
  
        SCREAMING_SNAKE_CASE__		:       List[str]   							=							"""Please enter the desired number of Monte Carlo simulations: """
        SCREAMING_SNAKE_CASE__		:       int   							=							estimate_pi(int(input(prompt).strip()))
        print(f'''An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}''')
  
  
  
  
  
  
  