code: def test_outcome_in_original_labels(
      self, desired_class, sample_custom_query_1, total_CFs
  ):
      ans = self.exp.generate_counterfactuals(
          query_instances=sample_custom_query_1,
          total_CFs=total_CFs,
          desired_class=desired_class,
      )
      assert all(
          ans.cf_examples_list[0]
          .final_cfs_df["Outcome"]
          .isin(["one", "zero", "two"])
      )
  
imports: import pytest
  import sklearn
  from raiutils.exceptions import UserConfigValidationException
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.neuralnetworks import MulticlassNetwork
label_desc: Use image node_id 3 for calling the TestDiceGeneticStrMultiClassificationMethods obj's underlying member method code with example usage: obj.test_outcome_in_original_labels(desired_class, sample_custom_query_1, total_CFs) without return types