code: def sampler_step(self, sigma, next_sigma, denoiser, x, cond, uc):
      sigma_down, sigma_up = get_ancestral_step(
          sigma, next_sigma, eta=self.eta
      )
      denoised = self.denoise(x, denoiser, sigma, cond, uc)
      x = self.ancestral_euler_step(x, denoised, sigma, sigma_down)
      x = self.ancestral_step(x, sigma, next_sigma, sigma_up)
  
      return x
  
imports: from typing import Dict, Union
  import torch
  from omegaconf import ListConfig, OmegaConf
  from tqdm import tqdm
  from ...modules.diffusionmodules.sampling_utils import get_ancestral_step, linear_multistep_coeff, to_d, to_neg_log_sigma, to_sigma
  from ...util import append_dims, default, instantiate_from_config
label_desc: Use image node_id 1 for calling the EulerAncestralSampler obj's underlying member method code with example usage: obj.sampler_step(sigma, next_sigma, denoiser, x, cond, uc) and returns: x