






'''simple docstring'''




from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments


def     lowerCAmelCase_       (     ):
		__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		HfArgumentParser(A_ )
		try:
				__SCREAMING_SNAKE_CASE	:		Tuple   	=		parser.parse_args_into_dataclasses()[0]
		except ValueError as e:
				__SCREAMING_SNAKE_CASE	:		List[str]   	=		"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
				__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		""" """.join(str(A_ ).split(""" """ )[:-1] )
				__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		""""""
				__SCREAMING_SNAKE_CASE	:		Tuple   	=		eval(str(A_ ).split(""" """ )[-1] )
				__SCREAMING_SNAKE_CASE	:		Tuple   	=		[]
				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:
						__SCREAMING_SNAKE_CASE	:		int   	=		full_error_msg + begin_error_msg + str(A_ )
				raise ValueError(A_ )

		__SCREAMING_SNAKE_CASE	:		Tuple   	=		PyTorchBenchmark(args=A_ )
		benchmark.run()


if __name__ == "__main__":
						main()




'''simple docstring'''




from __future__ import annotations


def     lowerCAmelCase_       (     _lowerCamelCase:       list[int | float] ):
		if len(_lowerCamelCase ) == 0:
				raise ValueError("""find_min() arg is an empty sequence""" )
		__SCREAMING_SNAKE_CASE	:		List[str]   	=		nums[0]
		for num in nums:
				__SCREAMING_SNAKE_CASE	:		int   	=		min(_lowerCamelCase	,				_lowerCamelCase )
		return min_num


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)