如何复制boost::property_map?

How to copy boost::property_map?

我想从一个图中获得两个组最短路径(一对多),定义为adjacency_list 具有内部属性(相对于 bundle)

理论上我可以在两个参考节点 n1n2 上 运行 dijkstra_shortest_paths。如果我创建两个 property_maps 并将它们按顺序传递给 dijkstra_... 我会得到看起来像是同一地图的两个视图。两者都指向dijkstra_shortest_paths的最后运行的结果,这样旧的结果就没有了。我应该怎么做才能达到预期的效果?

// Define some property maps
property_map<ugraph_t,edge_weight_t>::type Weight=get(edge_weight,G);
property_map<ugraph_t,vertex_distance_t>::type Dist1=get(vertex_distance,G);
// One line later, I expect this to be mapped to the SPs w.r.t n1
// Run SP on the first node
dijkstra_shortest_paths(G,n1,predecessor_map(Prev1).distance_map(Dist1).weight_map(Weight));
// New property maps
property_map<ugraph_t,vertex_distance_t>::type Dist2(Dist1); // And now to the second set
property_map<ugraph_t,vertex_predecessor_t>::type Prev2(Prev1); //  But no two sets will result... 
// Run SP on the second node
// This will run fine, but I will lose the first SP set (with or without a copy constructor above)
dijkstra_shortest_paths(G,n2,predecessor_map(Prev2).distance_map(Dist2).weight_map(Weight));

结论: 如果我没记错的话,property_map 可以被认为是带有迭代器的接口,因此复制 property_maps 不会感觉。解决方案是传递一个动态构建的自定义容器。该解决方案在下面@sehe 的回答中有详细说明,非常感谢!

注意: 这仅在顶点容器类型为 vecS 时有效。使用 listS 必须 "manually" 逐个顶点复制。

距离图不应该是内部图 属性。 前身地图也是如此。

它们不是图的逻辑上属性。它们是查询的结果。因此,它们是 属性 查询参数的组合,包括图表、起始节点等。

如果您想保存内饰的价值 属性,只需按照通常的方式保存即可:

std::vector<double> saved_distances(num_vertices(G));
BGL_FORALL_VERTICES(v, G, ugraph_t)
    saved_distances.push_back(Dist1[v]);

解决方法

复制地图的解决方法:

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#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/properties.hpp>
#include <boost/graph/dijkstra_shortest_paths.hpp>
#include <boost/graph/iteration_macros.hpp>

using namespace boost;

using ugraph_traits = graph_traits<adjacency_list<vecS, vecS, directedS> >;
using ugraph_t = adjacency_list<
      vecS, vecS, directedS, 
      property<vertex_distance_t, double, 
        property<vertex_predecessor_t, ugraph_traits::vertex_descriptor>
      >,
      property<edge_weight_t, double>
    >;

int main() {
    ugraph_t G(10);
    ugraph_t::vertex_descriptor n1 = 0, n2 = 1, v;
    (void) n1;
    (void) n2;
    // ...

    property_map<ugraph_t, edge_weight_t>::type Weight       = get(edge_weight,G);
    property_map<ugraph_t, vertex_distance_t>::type Dist1    = get(vertex_distance,G);
    property_map<ugraph_t, vertex_predecessor_t>::type Prev1 = get(vertex_predecessor,G);

    dijkstra_shortest_paths(G, n1,
             predecessor_map(Prev1)
            .distance_map(Dist1)
            .weight_map(Weight)
        );

    std::vector<double>                      saved_distances(num_vertices(G));
    std::vector<ugraph_t::vertex_descriptor> saved_predecessors(num_vertices(G));

    BGL_FORALL_VERTICES(v, G, ugraph_t) { 
        saved_distances.push_back(Dist1[v]);
        saved_predecessors.push_back(Prev1[v]);
    }

    /*
     * // C++11 style
     * for(auto v : make_iterator_range(vertices(G)))
     *     saved_distances[v] = Dist1[v];
     */

    // Run SP on the second node
    dijkstra_shortest_paths(G,n2,predecessor_map(Prev1).distance_map(Dist1).weight_map(Weight));
}

建议

我建议将结果贴图分开容器,只留下边缘权重内部:

Live On Coliru

Better Yet: refactor to remove duplicated code

所以就变成了

Live On Coliru

#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/dijkstra_shortest_paths.hpp>

using namespace boost;

using ugraph_t = adjacency_list<vecS, vecS, directedS, no_property, property<edge_weight_t, double> >;
using Vertex   = ugraph_t::vertex_descriptor;

struct ShortestPaths {
    ShortestPaths(size_t num_vertices);
    std::vector<double> distances;
    std::vector<Vertex> predecessors;
};

ShortestPaths GetShortestPaths(ugraph_t const& G, Vertex start);

int main() {
    ugraph_t G(10);
    Vertex n1 = 0, n2 = 1;

    ShortestPaths sp1 = GetShortestPaths(G, n1);
    ShortestPaths sp2 = GetShortestPaths(G, n2);
}

// some other cpp file...:
ShortestPaths::ShortestPaths(size_t num_vertices)
    : distances(num_vertices), predecessors(num_vertices)
{ }

ShortestPaths GetShortestPaths(ugraph_t const& G, Vertex start) {
    ShortestPaths result(num_vertices(G));

    dijkstra_shortest_paths(G, start,
             predecessor_map(make_container_vertex_map(result.predecessors, G))
            .distance_map   (make_container_vertex_map(result.distances, G))
            .weight_map     (get(edge_weight, G))
        );

    return result;
}

请注意,不再需要复制结果。事实上,您甚至不需要保留图形来保留查询结果。