code: def total_steps(self, steps):
      if self.options.get("second_order", False):
          steps = steps * 2
  
      return steps
  
imports: import inspect
  from collections import namedtuple
  import numpy
  import torch
  from PIL import Image
  from modules import devices, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared, sd_models
  from modules.shared import opts, state
  import k_diffusion.sampling
label_desc: Use image node_id 1 for calling the SamplerData obj's underlying member method code with example usage: obj.total_steps(steps) and returns: steps