



import random


class  _lowercase				:
				'''simple docstring'''







				def __init__(	self       ,	snake_case__       ,	snake_case__      ):

									'''simple docstring'''


									UpperCamelCase_											=				x
									UpperCamelCase_											=				y

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


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

				@classmethod
				def  _lowerCamelCase   (	cls      ):

									'''simple docstring'''


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




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

					UpperCamelCase_											=				0
					for _ in range(_lowerCAmelCase):
										UpperCamelCase_											=				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

	UpperCAmelCase				:							List[str]								="""Please enter the desired number of Monte Carlo simulations: """
	UpperCAmelCase				:							Optional[Any]								=estimate_pi(int(input(prompt).strip()))
	print(F"An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}")





from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



def 				_lowerCAmelCase      ():
					UpperCamelCase_											=				HfArgumentParser(_lowerCAmelCase)
					try:
										UpperCamelCase_											=				parser.parse_args_into_dataclasses()[0]
					except ValueError as e:
										UpperCamelCase_											=				"Arg --no_{0} is no longer used, please use --no-{0} instead."
										UpperCamelCase_											=				" ".join(str(_lowerCAmelCase).split(" ")[:-1])
										UpperCamelCase_											=				""
										UpperCamelCase_											=				eval(str(_lowerCAmelCase).split(" ")[-1])
										UpperCamelCase_											=				[]
										for arg in depreciated_args:
															# arg[2:] removes '--'
															if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
																				# arg[5:] removes '--no_'
																				full_error_msg += arg_error_msg.format(arg[5:])
															else:
																				wrong_args.append(_lowerCAmelCase)
										if len(_lowerCAmelCase) > 0:
															UpperCamelCase_											=				full_error_msg + begin_error_msg + str(_lowerCAmelCase)
										raise ValueError(_lowerCAmelCase)

					UpperCamelCase_											=				PyTorchBenchmark(args=_lowerCAmelCase)
					benchmark.run()


if __name__ == "__main__":
	main()
