code: def test_KD_tree_output(
      self,
      desired_range,
      sample_custom_query_2,
      total_CFs,
      version,
      posthoc_sparsity_algorithm,
  ):
      cf_examples = self.exp_regr._generate_counterfactuals(
          query_instance=sample_custom_query_2,
          total_CFs=total_CFs,
          desired_range=desired_range,
          posthoc_sparsity_algorithm=posthoc_sparsity_algorithm,
      )
      assert all(
          desired_range[0] <= i <= desired_range[1]
          for i in self.exp_regr.cfs_preds
      )
  
      assert cf_examples is not None
      json_str = cf_examples.to_json(version)
      assert json_str is not None
  
      recovered_cf_examples = CounterfactualExamples.from_json(json_str)
      assert recovered_cf_examples is not None
      assert cf_examples == recovered_cf_examples
  
imports: import numpy
  import pytest
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.diverse_counterfactuals import CounterfactualExamples
label_desc: Use image node_id 2 for calling the TestDiceKDRegressionMethods obj's underlying member method code with example usage: obj.test_KD_tree_output(desired_range, sample_custom_query_2, total_CFs, version, posthoc_sparsity_algorithm) without return types