code: def sample_counterfactual_example_dummy():
      """
      Returns a sample counterfactual example
      """
      return pd.DataFrame(
          {
              "Categorical": [
                  "a",
                  "b",
                  "c",
                  "a",
                  "b",
                  "c",
                  "a",
                  "b",
                  "c",
                  "a",
                  "a",
                  "b",
                  "c",
                  "c",
                  "c",
              ],
              "Numerical": [
                  25,
                  50,
                  75,
                  100,
                  125,
                  150,
                  175,
                  200,
                  225,
                  250,
                  150,
                  175,
                  200,
                  225,
                  250,
              ],
              "Outcome": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
          }
      )
  
imports: from collections import OrderedDict
  from itertools import product
  import pandas
  import pytest
  import torch
  from rai_test_utils.models.sklearn import create_complex_classification_pipeline, create_complex_regression_pipeline
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.neuralnetworks import FFNetwork
label_desc: Use image node_id 42 for calling a global function with example usage: sample_counterfactual_example_dummy() and returns: pd