
"""simple docstring"""




from __future__ import annotations

import math
import random

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      d * e - 1
					SCREAMING_SNAKE_CASE           =      0
					SCREAMING_SNAKE_CASE           =      0
					while p == 0:
										SCREAMING_SNAKE_CASE           =      random.randint(2,	n - 1     )
										SCREAMING_SNAKE_CASE           =      k
										while True:
															if t % 2 == 0:
																				SCREAMING_SNAKE_CASE           =      t // 2
																				SCREAMING_SNAKE_CASE           =      (g**t) % n
																				SCREAMING_SNAKE_CASE           =      math.gcd(x - 1,	snake_case_     )
																				if x > 1 and y > 1:
																									SCREAMING_SNAKE_CASE           =      y
																									SCREAMING_SNAKE_CASE           =      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 					_SCREAMING_SNAKE_CASE		(						):
	_lowercase							=     HfArgumentParser(snake_case_	)
	try:
		_lowercase							=     parser.parse_args_into_dataclasses()[0]
	except ValueError as e:
		_lowercase							=     """Arg --no_{0} is no longer used, please use --no-{0} instead."""
		_lowercase							=     """ """.join(str(snake_case_	).split(""" """	)[:-1]	)
		_lowercase							=     """"""
		_lowercase							=     eval(str(snake_case_	).split(""" """	)[-1]	)
		_lowercase							=     []
		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(snake_case_	)
		if len(snake_case_	) > 0:
			_lowercase							=     full_error_msg + begin_error_msg + str(snake_case_	)
		raise ValueError(snake_case_	)

	_lowercase							=     PyTorchBenchmark(args=snake_case_	)
	benchmark.run()


if __name__ == "__main__":
							main()




