code: def test_given_simple_gaussian_data_when_auto_estimate_kl_divergence_then_correctly_selects_continuous_version():
      X = np.random.normal(0, 1, 2000)
      Y = np.random.normal(1, 1, 2000)
  
      assert auto_estimate_kl_divergence(X, X) == approx(0, abs=0.001)
      assert auto_estimate_kl_divergence(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 4 for calling a global function with example usage: test_given_simple_gaussian_data_when_auto_estimate_kl_divergence_then_correctly_selects_continuous_version() without return types