from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments


def SCREAMING_SNAKE_CASE					(  ):
       _UpperCamelCase  :							int	    =	HfArgumentParser(lowercase_					)
       try:
              _UpperCamelCase  :							Dict	    =	parser.parse_args_into_dataclasses()[0]
       except ValueError as e:
              _UpperCamelCase  :							Tuple	    =	'Arg --no_{0} is no longer used, please use --no-{0} instead.'
              _UpperCamelCase  :							List[Any]	    =	' '.join(str(lowercase_					).split(' '					)[:-1]					)
              _UpperCamelCase  :							List[Any]	    =	''
              _UpperCamelCase  :							Dict	    =	eval(str(lowercase_					).split(' '					)[-1]					)
              _UpperCamelCase  :							Optional[Any]	    =	[]
              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(lowercase_					)
              if len(lowercase_					) > 0:
                     _UpperCamelCase  :							Optional[int]	    =	full_error_msg + begin_error_msg + str(lowercase_					)
              raise ValueError(lowercase_					)

       _UpperCamelCase  :							List[str]	    =	PyTorchBenchmark(args=lowercase_					)
       benchmark.run()


if __name__ == "__main__":
 main()











from __future__ import annotations




class 							__A	:





				"""simple docstring"""







				def __init__(					self				,    lowerCamelCase__ = 0       ):




									"""simple docstring"""

									__UpperCamelCase :   str									=value
									__UpperCamelCase :   Node | None									=None
									__UpperCamelCase :   Node | None									=None






def 				A	(			a_				,a_   )	->		Node | None:
					if treea is None:
										return treea
					if treea is None:
										return treea

					__UpperCamelCase :   Dict									=treea.value + treea.value
					__UpperCamelCase :   Any									=merge_two_binary_trees(treea.left				,treea.left   )
					__UpperCamelCase :   Union[str, Any]									=merge_two_binary_trees(treea.right				,treea.right   )
					return treea






def 				A	(			a_   )	->		None:
					if root:
										print(root.value   )
										print_preorder(root.left   )
										print_preorder(root.right   )


if __name__ == "__main__":
							A_			:List[str]	    =		Node(1)
							A_			:Dict	    =		Node(2)
							A_			:str	    =		Node(3)
							A_			:Union[str, Any]	    =		Node(4)

							A_			:Any	    =		Node(2)
							A_			:Tuple	    =		Node(4)
							A_			:Optional[Any]	    =		Node(6)
							A_			:Optional[Any]	    =		Node(9)
							A_			:str	    =		Node(5)

							print('''Tree1 is: ''')
							print_preorder(treea)
							print('''Tree2 is: ''')
							print_preorder(treea)
							A_			:Optional[Any]	    =		merge_two_binary_trees(treea, treea)
							print('''Merged Tree is: ''')
							print_preorder(merged_tree)

