code: def test_given_simple_gaussian_data_when_estimate_kl_divergence_continuous_clf_then_returns_correct_result():
      X = np.random.normal(0, 1, 2000)
      Y = np.random.normal(1, 1, 2000)
  
      assert estimate_kl_divergence_continuous_clf(X, X) == approx(
          0, abs=0.001
      )
      assert estimate_kl_divergence_continuous_clf(X, Y) == approx(
          0.5, 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 10 for calling a global function with example usage: test_given_simple_gaussian_data_when_estimate_kl_divergence_continuous_clf_then_returns_correct_result() without return types