


"""simple docstring"""






from __future__ import annotations

import math
import random



def 			A__		(					_UpperCAmelCase    :      int				,    _UpperCAmelCase    :      int				,    _UpperCAmelCase    :      int	)							->	list[int]:

	'''simple docstring'''


	snake_case__  :						List[Any]		=      d * e - 1
	snake_case__  :						Dict		=      0
	snake_case__  :						int		=      0
	while p == 0:
		snake_case__  :						Union[str, Any]		=      random.randint(2				,    n - 1	)
		snake_case__  :						int		=      k
		while True:
			if t % 2 == 0:
				snake_case__  :						Optional[int]		=      t // 2
				snake_case__  :						str		=      (g**t) % n
				snake_case__  :						Any		=      math.gcd(x - 1				,    _UpperCAmelCase	)
				if x > 1 and y > 1:
					snake_case__  :						List[str]		=      y
					snake_case__  :						Tuple		=      n // y
					break  # find the correct factors
			else:
				break  # t is not divisible by 2, break and choose another g
	return sorted([p, q]	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()






'''simple docstring'''




from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments




def 				lowerCamelCase      ( )     -> List[Any]:
							lowercase_   :     Tuple									=			HfArgumentParser(UpperCAmelCase__					)
							try:
														lowercase_   :     List[Any]									=			parser.parse_args_into_dataclasses()[0]
							except ValueError as e:
														lowercase_   :     int									=			"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
														lowercase_   :     Any									=			""" """.join(str(UpperCAmelCase__					).split(""" """					)[:-1]					)
														lowercase_   :     Optional[Any]									=			""""""
														lowercase_   :     List[str]									=			eval(str(UpperCAmelCase__					).split(""" """					)[-1]					)
														lowercase_   :     Dict									=			[]
														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(UpperCAmelCase__					)
														if len(UpperCAmelCase__					) > 0:
																					lowercase_   :     Dict									=			full_error_msg + begin_error_msg + str(UpperCAmelCase__					)
														raise ValueError(UpperCAmelCase__					)

							lowercase_   :     Optional[int]									=			PyTorchBenchmark(args=UpperCAmelCase__					)
							benchmark.run()


if __name__ == "__main__":
						main()





