@Test
  public void testPathRecursiveUnpacking() {
    // use an encoder where it is possible to store 2 weights per edge
    FlagEncoder encoder = new Bike2WeightFlagEncoder();
    ShortestWeighting weighting = new ShortestWeighting(encoder);
    EncodingManager em = new EncodingManager(encoder);
    GraphHopperStorage ghStorage =
        createGHStorage(em, Collections.<Weighting>singleton(weighting), false);
    CHGraphImpl g2 = (CHGraphImpl) ghStorage.getGraph(CHGraph.class, weighting);
    g2.edge(0, 1, 1, true);
    EdgeIteratorState iter1_1 = g2.edge(0, 2, 1.4, false);
    EdgeIteratorState iter1_2 = g2.edge(2, 5, 1.4, false);
    g2.edge(1, 2, 1, true);
    g2.edge(1, 3, 3, true);
    g2.edge(2, 3, 1, true);
    g2.edge(4, 3, 1, true);
    g2.edge(2, 5, 1.4, true);
    g2.edge(3, 5, 1, true);
    g2.edge(5, 6, 1, true);
    g2.edge(4, 6, 1, true);
    g2.edge(6, 7, 1, true);
    EdgeIteratorState iter2_2 = g2.edge(5, 7);
    iter2_2.setDistance(1.4).setFlags(encoder.setProperties(10, true, false));

    ghStorage.freeze();
    // simulate preparation
    CHEdgeIteratorState iter2_1 = g2.shortcut(0, 5);
    iter2_1.setDistance(2.8).setFlags(encoder.setProperties(10, true, false));
    iter2_1.setSkippedEdges(iter1_1.getEdge(), iter1_2.getEdge());
    CHEdgeIteratorState tmp = g2.shortcut(0, 7);
    tmp.setDistance(4.2).setFlags(encoder.setProperties(10, true, false));
    tmp.setSkippedEdges(iter2_1.getEdge(), iter2_2.getEdge());
    g2.setLevel(1, 0);
    g2.setLevel(3, 1);
    g2.setLevel(4, 2);
    g2.setLevel(6, 3);
    g2.setLevel(2, 4);
    g2.setLevel(5, 5);
    g2.setLevel(7, 6);
    g2.setLevel(0, 7);

    AlgorithmOptions opts = new AlgorithmOptions(AlgorithmOptions.DIJKSTRA_BI, encoder, weighting);
    Path p =
        new PrepareContractionHierarchies(
                new GHDirectory("", DAType.RAM_INT),
                ghStorage,
                g2,
                encoder,
                weighting,
                TraversalMode.NODE_BASED)
            .createAlgo(g2, opts)
            .calcPath(0, 7);

    assertEquals(Helper.createTList(0, 2, 5, 7), p.calcNodes());
    assertEquals(1064, p.getTime());
    assertEquals(4.2, p.getDistance(), 1e-5);
  }
  @Test
  public void testPathRecursiveUnpacking() {
    // use an encoder where it is possible to store 2 weights per edge
    FlagEncoder encoder = new Bike2WeightFlagEncoder();
    EncodingManager em = new EncodingManager(encoder);
    LevelGraphStorage g2 = (LevelGraphStorage) createGraph(em, false);
    g2.edge(0, 1, 1, true);
    EdgeIteratorState iter1_1 = g2.edge(0, 2, 1.4, false);
    EdgeIteratorState iter1_2 = g2.edge(2, 5, 1.4, false);
    g2.edge(1, 2, 1, true);
    g2.edge(1, 3, 3, true);
    g2.edge(2, 3, 1, true);
    g2.edge(4, 3, 1, true);
    g2.edge(2, 5, 1.4, true);
    g2.edge(3, 5, 1, true);
    g2.edge(5, 6, 1, true);
    g2.edge(4, 6, 1, true);
    g2.edge(6, 7, 1, true);
    EdgeIteratorState iter2_2 = g2.edge(5, 7);
    iter2_2.setDistance(1.4).setFlags(encoder.setProperties(10, true, false));

    // simulate preparation
    EdgeSkipIterState iter2_1 = g2.shortcut(0, 5);
    iter2_1.setDistance(2.8).setFlags(encoder.setProperties(10, true, false));
    iter2_1.setSkippedEdges(iter1_1.getEdge(), iter1_2.getEdge());
    EdgeSkipIterState tmp = g2.shortcut(0, 7);
    tmp.setDistance(4.2).setFlags(encoder.setProperties(10, true, false));
    tmp.setSkippedEdges(iter2_1.getEdge(), iter2_2.getEdge());
    g2.setLevel(1, 0);
    g2.setLevel(3, 1);
    g2.setLevel(4, 2);
    g2.setLevel(6, 3);
    g2.setLevel(2, 4);
    g2.setLevel(5, 5);
    g2.setLevel(7, 6);
    g2.setLevel(0, 7);

    Path p =
        new PrepareContractionHierarchies(encoder, new ShortestWeighting())
            .setGraph(g2)
            .createAlgo()
            .calcPath(0, 7);

    assertEquals(Helper.createTList(0, 2, 5, 7), p.calcNodes());
    assertEquals(1064, p.getMillis());
    assertEquals(4.2, p.getDistance(), 1e-5);
  }