code: def test_given_multi_dim_gaussian_and_categorical_data_when_estimate_kl_divergence_continuous_clf_then_returns_correct_result():
      X0 = np.random.normal(0, 1, 2000)
      X1 = np.random.choice(3, 2000, replace=True).astype(str)
  
      X0_other = np.random.normal(1, 1, 2000)
      X1_other = (np.random.choice(4, 2000, replace=True)).astype(str)
  
      X = np.array([X0, X1], dtype=object).T
  
      assert estimate_kl_divergence_continuous_clf(X, X) == approx(
          0, abs=0.001
      )
      # Only Gaussian component changed
      assert estimate_kl_divergence_continuous_clf(
          X, np.array([X0_other, X1], dtype=object).T
      ) == approx(0.5, abs=0.15)
      assert estimate_kl_divergence_continuous_clf(
          X, np.array([X0_other, X1_other], dtype=object).T
      ) == approx(0.78, abs=0.15)
  
file_path: dowhy/tests/gcm/test_divergence.py
imports: import numpy
  from flaky import flaky
  from pytest import approx
  from dowhy.gcm.divergence import auto_estimate_kl_divergence, estimate_kl_divergence_categorical, estimate_kl_divergence_continuous_clf, estimate_kl_divergence_continuous_knn, estimate_kl_divergence_of_probabilities, is_probability_matrix
label_desc: Use image node_id 12 for calling a global function with example usage: test_given_multi_dim_gaussian_and_categorical_data_when_estimate_kl_divergence_continuous_clf_then_returns_correct_result() without return types