


from __future__ import annotations


class 	a__						:

       def __init__( self   :  Tuple   ,				lowerCamelCase_   :  int = 0     ):
            a_     :  Dict				      =     value
            a_     :  Node | None				      =     None
            a_     :  Node | None				      =     None



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     if treea is None:
          return treea
     if treea is None:
          return treea

     a_     :  Optional[int]				      =     treea.value + treea.value
     a_     :  int				      =     merge_two_binary_trees(treea.left	,	treea.left			)
     a_     :  List[Any]				      =     merge_two_binary_trees(treea.right	,	treea.right			)
     return treea



def 			_a      (    __UpperCamelCase			):
     if root:
          print(root.value			)
          print_preorder(root.left			)
          print_preorder(root.right			)


if __name__ == "__main__":
       __lowerCamelCase   	=  Node(1)
       __lowerCamelCase   	=  Node(2)
       __lowerCamelCase   	=  Node(3)
       __lowerCamelCase   	=  Node(4)

       __lowerCamelCase   	=  Node(2)
       __lowerCamelCase   	=  Node(4)
       __lowerCamelCase   	=  Node(6)
       __lowerCamelCase   	=  Node(9)
       __lowerCamelCase   	=  Node(5)

       print('''Tree1 is: ''')
       print_preorder(treea)
       print('''Tree2 is: ''')
       print_preorder(treea)
       __lowerCamelCase   	=  merge_two_binary_trees(treea, treea)
       print('''Merged Tree is: ''')
       print_preorder(merged_tree)




'''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()





