code: from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
  
  def      SCREAMING_SNAKE_CASE_  (		)  ->			Tuple:
  							lowerCAmelCase				=	HfArgumentParser(snake_case__							)
  							try:
  														lowerCAmelCase				=	parser.parse_args_into_dataclasses()[0]
  							except ValueError as e:
  														lowerCAmelCase				=	'''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
  														lowerCAmelCase				=	''' '''.join(str(snake_case__							).split(''' '''							)[:-1]							)
  														lowerCAmelCase				=	''''''
  														lowerCAmelCase				=	eval(str(snake_case__							).split(''' '''							)[-1]							)
  														lowerCAmelCase				=	[]
  														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:
  																					lowerCAmelCase				=	full_error_msg + begin_error_msg + str(snake_case__							)
  														raise ValueError(snake_case__							)
  
  							lowerCAmelCase				=	PyTorchBenchmark(args=snake_case__							)
  							benchmark.run()
  
  
  if __name__ == "__main__":
  	main()
  
  
  
  
style_context: def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			int:
  							return (input_a, input_a).count(0							) % 2
  
  def      SCREAMING_SNAKE_CASE_  (		)  ->			None:
  							assert xor_gate(0     ,						0							) == 0
  							assert xor_gate(0     ,						1							) == 1
  							assert xor_gate(1     ,						0							) == 1
  							assert xor_gate(1     ,						1							) == 0
  
  
  if __name__ == "__main__":
  	print(xor_gate(0, 0))
  	print(xor_gate(0, 1))
  
  
  
  