"""simple docstring"""




from __future__ import annotations

class        __SCREAMING_SNAKE_CASE     :







				def __init__(    self    :List[Any]      ,__UpperCAmelCase    :int  )      ->					None:




									"""simple docstring"""



									lowerCamelCase__		:   Any  				=					value
									lowerCamelCase__		:   Node | None  				=					None
									lowerCamelCase__		:   Node | None  				=					None





class        __SCREAMING_SNAKE_CASE     :
				UpperCAmelCase	=      42







				def __init__(    self    :Tuple  )      ->					None:




									"""simple docstring"""



									lowerCamelCase__		:   Any  				=					0







				def   lowercase_		(    self    :Optional[int]      ,__UpperCAmelCase    :Node | None      ,__UpperCAmelCase    :int  )      ->					None:




									"""simple docstring"""



									if node is None:
														return

									if path_sum == self.target:
														self.paths += 1

									if node.left:
														self.depth_first_search(node.left      ,path_sum + node.left.value  )
									if node.right:
														self.depth_first_search(node.right      ,path_sum + node.right.value  )







				def   lowercase_		(    self    :Union[str, Any]      ,__UpperCAmelCase    :Node | None      ,__UpperCAmelCase    :int | None = None  )      ->					int:




									"""simple docstring"""



									if node is None:
														return 0
									if target is not None:
														lowerCamelCase__		:   List[Any]  				=					target

									self.depth_first_search(__UpperCAmelCase      ,node.value  )
									self.path_sum(node.left  )
									self.path_sum(node.right  )

									return self.paths


if __name__ == "__main__":
					import doctest

					doctest.testmod()







"""simple docstring"""




from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



def 				__a       (			):







					"""simple docstring"""





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

					lowerCamelCase__		:   List[Any]  				=					PyTorchBenchmark(args=_lowercase						)
					benchmark.run()


if __name__ == "__main__":
					main()






