code: def number_of_needed_noises(self, p):
      return p.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 4 for calling the Sampler obj's underlying member method code with example usage: obj.number_of_needed_noises(p) and returns: p