





import random




class 					UpperCamelCase_    :


	def __init__(							self      :Union[str, Any]							,			__A      :float							,			__A      :float						)				->				Union[str, Any]:



			"""simple docstring"""



			SCREAMING_SNAKE_CASE__								= x
			SCREAMING_SNAKE_CASE__								= y


	def        _snake_case					(							self      :Tuple						)				->				Tuple:



			"""simple docstring"""



			return (self.x**2 + self.y**2) <= 1


	@classmethod
	def        _snake_case					(							cls      :Optional[Any]						)				->				str:



			"""simple docstring"""



			return cls(x=random.random()							,			y=random.random()						)






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							str      ):
		if number_of_simulations < 1:
				raise ValueError("""At least one simulation is necessary to estimate PI."""      )

		SCREAMING_SNAKE_CASE__								= 0
		for _ in range(UpperCamelCase__      ):
				SCREAMING_SNAKE_CASE__								= 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

	_lowerCamelCase							=     'Please enter the desired number of Monte Carlo simulations: '
	_lowerCamelCase							=     estimate_pi(int(input(prompt).strip()))
	print(F'''An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}''')






from __future__ import annotations






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							list[int | float]      ):
		if len(UpperCamelCase__      ) == 0:
				raise ValueError("""find_min() arg is an empty sequence"""      )
		SCREAMING_SNAKE_CASE__								= nums[0]
		for num in nums:
				SCREAMING_SNAKE_CASE__								= min(UpperCamelCase__   ,				UpperCamelCase__      )
		return min_num


if __name__ == "__main__":
	import doctest

	doctest.testmod(verbose=True)