code: def test_make_confounded_data():
      f_rnd, df_obs, df_ctf = make_confounded_data(1000)
      traeat_corr = f_rnd.corr().loc[
          ["age", "severity", "sex"], "medication"
      ]
  
      assert f_rnd.shape[1] == df_obs.shape[1] == df_ctf.shape[1]
      assert np.all(
          np.abs(traeat_corr) < 0.05
      ), "assignment is not random!"
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_make_confounded_data() without return types