






from doctest import testmod
from math import sqrt
def      lowerCamelCase					(						a_	)	->			list:
							lowerCAmelCase_										=     []
							if num < 1:
														return facs
							facs.append(1	)
							if num == 1:
														return facs
							facs.append(a_	)
							for i in range(2 ,						int(sqrt(a_	)	) + 1	):
														if num % i == 0:  # If i is a factor of num
																					facs.append(a_	)
																					lowerCAmelCase_										=     num // i  # num//i is the other factor of num
																					if d != i:  # If d and i are distinct
																												facs.append(a_	)  # we have found another factor
							facs.sort()
							return facs


if __name__ == "__main__":
		testmod(name="""factors_of_a_number""", verbose=True)











from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
def      lowerCamelCase					(						)	->			Union[str, Any]:
							lowerCAmelCase_										=     HfArgumentParser(a_	)
							try:
														lowerCAmelCase_										=     parser.parse_args_into_dataclasses()[0]
							except ValueError as e:
														lowerCAmelCase_										=     'Arg --no_{0} is no longer used, please use --no-{0} instead.'
														lowerCAmelCase_										=     ' '.join(str(a_	).split(' '	)[:-1]	)
														lowerCAmelCase_										=     ''
														lowerCAmelCase_										=     eval(str(a_	).split(' '	)[-1]	)
														lowerCAmelCase_										=     []
														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(a_	)
														if len(a_	) > 0:
																					lowerCAmelCase_										=     full_error_msg + begin_error_msg + str(a_	)
														raise ValueError(a_	)

							lowerCAmelCase_										=     PyTorchBenchmark(args=a_	)
							benchmark.run()


if __name__ == "__main__":
		main()



