'''simple docstring'''




_lowercase		:					int													=		{
    0: "underwear",
    1: "pants",
    2: "belt",
    3: "suit",
    4: "shoe",
    5: "socks",
    6: "shirt",
    7: "tie",
    8: "watch",
}

_lowercase		:					Optional[Any]													=		[[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

_lowercase		:					Tuple													=		[0 for x in range(len(graph))]
_lowercase		:					int													=		[]




def 				lowerCamelCase      ( UpperCAmelCase__			:   Dict , UpperCAmelCase__			:   List[str]					)     -> Tuple:
							lowercase_   :     Optional[Any]									=			1
							while stack:
														lowercase_   :     str									=			stack.pop()
														print(UpperCAmelCase__ , clothes[current_clothing]					)
														order += 1




def 				lowerCamelCase      ( UpperCAmelCase__			:   Union[str, Any] , UpperCAmelCase__			:   Tuple , UpperCAmelCase__			:   Optional[int]					)     -> Optional[int]:
							lowercase_   :     str									=			1
							for v in graph[u]:
														if not visited[v]:
																					depth_first_search(UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__					)

							stack.append(UpperCAmelCase__					)




def 				lowerCamelCase      ( UpperCAmelCase__			:   int , UpperCAmelCase__			:   Union[str, Any]					)     -> int:
							for v in range(len(UpperCAmelCase__					)					):
														if not visited[v]:
																					depth_first_search(UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__					)


if __name__ == "__main__":
						topological_sort(graph, visited)
						print(stack)
						print_stack(stack, clothes)






'''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()





