code: def visualize(
      self, attribution, data, contribution_frac
  ) -> FeatureOutput:
      return FeatureOutput(
          name=self.name,
          base=data,
          modified=data,
          type=self.visualization_type(),
          contribution=contribution_frac,
      )
  
imports: import unittest
  from typing import Callable, List, Union
  import torch
  import torch.nn
  from captum.insights import AttributionVisualizer, Batch
  from captum.insights.attr_vis.app import FilterConfig
  from captum.insights.attr_vis.features import BaseFeature, FeatureOutput, ImageFeature
  from tests.helpers.basic import BaseTest
label_desc: Use image node_id 3 for calling the RealFeature obj's underlying member method code with example usage: obj.visualize(attribution, data, contribution_frac) and returns: FeatureOutput