code: def as_list(self, label):
      explanations = {
          0: [
              ("worst perimeter <= 83.79", -0.10275161028167702),
              ("worst area <= 509.25", -0.09479442043867894),
              ("worst radius <= 12.93", -0.060148145614287524),
              ("worst texture <= 21.41", -0.057578312942073995),
              ("mean area <= 419.25", -0.05598211138713413),
              ("worst concave points <= 0.06", -0.05063258480760927),
              ("mean texture <= 16.34", -0.042193966171229905),
              ("mean concavity <= 0.03", -0.028153608385264327),
              ("area error <= 18.17", -0.027911303586217028),
              ("worst compactness <= 0.15", -0.024483076857988333),
          ],
          1: [
              ("worst perimeter <= 83.79", 0.10275161028167702),
              ("worst area <= 509.25", 0.09479442043867897),
              ("worst radius <= 12.93", 0.06014814561428753),
              ("worst texture <= 21.41", 0.057578312942073995),
              ("mean area <= 419.25", 0.05598211138713414),
              ("worst concave points <= 0.06", 0.05063258480760927),
              ("mean texture <= 16.34", 0.0421939661712299),
              ("mean concavity <= 0.03", 0.028153608385264303),
              ("area error <= 18.17", 0.027911303586217028),
              ("worst compactness <= 0.15", 0.024483076857988346),
          ],
      }
      return explanations[label]
  
file_path: contextual-ai/tests/explainer/test_utils.py
imports: import unittest
  import numpy
  from xai.explainer.utils import explanation_to_json
  from xai.explainer.constants import MODE, OUTPUT
label_desc: Use image node_id 1 for calling the DummyExplanation obj's underlying member method code with example usage: obj.as_list(label) and returns: explanations