
from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def  a_	( )				->						List[str]:
   _snake_case						=    HfArgumentParser(__snake_case				)
   try:
      _snake_case						=    parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      _snake_case						=    'Arg --no_{0} is no longer used, please use --no-{0} instead.'
      _snake_case						=    ' '.join(str(__snake_case				).split(' '				)[:-1]				)
      _snake_case						=    ''
      _snake_case						=    eval(str(__snake_case				).split(' '				)[-1]				)
      _snake_case						=    []
      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:
         _snake_case						=    full_error_msg + begin_error_msg + str(__snake_case				)
      raise ValueError(__snake_case				)

   _snake_case						=    PyTorchBenchmark(args=__snake_case				)
   benchmark.run()


if __name__ == "__main__":
   main()

_lowerCamelCase :       Union[str, Any]     					=    {
    0: '''underwear''',
    1: '''pants''',
    2: '''belt''',
    3: '''suit''',
    4: '''shoe''',
    5: '''socks''',
    6: '''shirt''',
    7: '''tie''',
    8: '''watch''',
}

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

_lowerCamelCase :       Dict     					=    [0 for x in range(len(graph))]
_lowerCamelCase :       Dict     					=    []






def  a_	( __lowercase     :			Optional[int] ,      __lowercase     :			Dict				)				->						Optional[int]:
			_snake_case						=    1
			while stack:
						_snake_case						=    stack.pop()
						print(__lowercase ,      clothes[current_clothing]				)
						order += 1






def  a_	( __lowercase     :			Union[str, Any] ,      __lowercase     :			Dict ,      __lowercase     :			Union[str, Any]				)				->						List[Any]:
			_snake_case						=    1
			for v in graph[u]:
						if not visited[v]:
									depth_first_search(__lowercase ,      __lowercase ,      __lowercase				)

			stack.append(__lowercase				)






def  a_	( __lowercase     :			Dict ,      __lowercase     :			int				)				->						List[str]:
			for v in range(len(__lowercase				)				):
						if not visited[v]:
									depth_first_search(__lowercase ,      __lowercase ,      __lowercase				)


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