code: def test_no_cfs(
      self, desired_class, sample_custom_query_1, total_CFs
  ):
      with pytest.raises(
          UserConfigValidationException,
          match="Desired class not present in training data",
      ):
          self.exp.generate_counterfactuals(
              query_instances=sample_custom_query_1,
              total_CFs=total_CFs,
              desired_class=desired_class,
          )
  
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 2 for calling the TestDiceGeneticStrMultiClassificationMethods obj's underlying member method code with example usage: obj.test_no_cfs(desired_class, sample_custom_query_1, total_CFs) without return types