




"""simple docstring"""




from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      __UpperCAmelCase     ( ):
			__lowercase			:  Union[str, Any]								=       HfArgumentParser(__UpperCamelCase	)
			__lowercase			:  int								=       parser.parse_args_into_dataclasses()[0]
			__lowercase			:  int								=       TensorFlowBenchmark(args=__UpperCamelCase	)
			try:
						__lowercase			:  str								=       parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						__lowercase			:  Optional[int]								=       '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
						__lowercase			:  Any								=       ''' '''.join(str(__UpperCamelCase	).split(''' '''	)[:-1]	)
						__lowercase			:  int								=       ''''''
						__lowercase			:  List[str]								=       eval(str(__UpperCamelCase	).split(''' '''	)[-1]	)
						__lowercase			:  Any								=       []
						for arg in depreciated_args:
									# arg[2:] removes '--'
									if arg[2:] in TensorFlowBenchmark.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			:  Union[str, Any]								=       full_error_msg + begin_error_msg + str(__UpperCamelCase	)
						raise ValueError(__UpperCamelCase	)
			benchmark.run()


if __name__ == "__main__":
			main()









"""simple docstring"""

def 		_snake_case	(   _snake_case				:   int							,    _snake_case				:   int				)       ->   int:






      '''simple docstring'''


      return int((input_a, input_a).count(1				) != 0				)






def 		_snake_case	(   )       ->   None:






      '''simple docstring'''


      assert or_gate(0							,    0				) == 0
      assert or_gate(0							,    1				) == 1
      assert or_gate(1							,    0				) == 1
      assert or_gate(1							,    1				) == 1


if __name__ == "__main__":
       print(or_gate(0, 1))
       print(or_gate(1, 0))
       print(or_gate(0, 0))
       print(or_gate(1, 1))

