code: def test_approximate_interactions():
      """Test the approximate interaction detector."""
      X_no_string_features = _create_sample_dataset(string_features={})
      X_one_string_feature = _create_sample_dataset(
          string_features={"Sex"}
      )
      X_two_string_features = _create_sample_dataset(
          string_features={"Sex", "Blood group"}
      )
  
      shap_values = np.random.randn(*X_one_string_feature.values.shape)
  
      interactions_no_features = shap.approximate_interactions(
          0, shap_values, X_no_string_features
      )
      interactions_one_string_feature = shap.approximate_interactions(
          0, shap_values, X_one_string_feature
      )
      interactions_two_string_feature = shap.approximate_interactions(
          0, shap_values, X_two_string_features
      )
  
      assert (
          interactions_no_features == interactions_one_string_feature
      ).all()
      assert (
          interactions_no_features == interactions_two_string_feature
      ).all()
  
file_path: shap/tests/plots/test_dependence_string_features.py
imports: import matplotlib
  import numpy
  import pandas
  import shap
label_desc: Use image node_id 5 for calling a global function with example usage: test_approximate_interactions() without return types