code: def test_rfc():
      X = np.array([[0, 1, 0, 1], [0, 0, 0, 1], [1, 0, 1, 0]])
      y = np.array([0, 1, 0])
      rfc = ensemble.DistRandomForestClassifier(
          n_estimators=10, random_state=5
      )
      rfc.fit(X, y)
      preds = rfc.predict(X)
      assert np.allclose(preds, np.array([0, 1, 0]))
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_rfc() without return types