






"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def 			__UpperCamelCase	(		):

	'''simple docstring'''





	A_		:						str	    =   HfArgumentParser(snake_case__					)
	A_		:						str	    =   parser.parse_args_into_dataclasses()[0]
	A_		:						Any	    =   TensorFlowBenchmark(args=snake_case__					)
	try:
		A_		:						List[str]	    =   parser.parse_args_into_dataclasses()[0]
	except ValueError as e:
		A_		:						Dict	    =   """Arg --no_{0} is no longer used, please use --no-{0} instead."""
		A_		:						Optional[int]	    =   """ """.join(str(snake_case__					).split(""" """					)[:-1]					)
		A_		:						Optional[Any]	    =   """"""
		A_		:						Optional[int]	    =   eval(str(snake_case__					).split(""" """					)[-1]					)
		A_		:						Union[str, Any]	    =   []
		for arg in depreciated_args:
			# arg[2:] removes '--'
			if arg[2:] in TensorFlowBenchmark.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:
			A_		:						Optional[Any]	    =   full_error_msg + begin_error_msg + str(snake_case__					)
		raise ValueError(snake_case__					)
	benchmark.run()


if __name__ == "__main__":
							main()









"""simple docstring"""
import math






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	if (
	    not isinstance(snake_case__   ,   (int, float)					)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("""power_factor must be a valid float value between -1 and 1."""					)
	return apparent_power * power_factor






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	if (
	    not isinstance(snake_case__   ,   (int, float)					)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("""power_factor must be a valid float value between -1 and 1."""					)
	return apparent_power * math.sqrt(1 - power_factor**2					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

