首页 > 解决方案 > 如何一般访问 Boost Graph 捆绑属性?

问题描述

我正在编写一个 c++ 模板来读取GraphVizGraphML格式的加权图。

困难在于我使用具有不同顶点/边束的不同图形类型,它们可能看起来像

struct EdgeBundle_1 {
    double weight = 1.;
};

struct EdgeBundle_2 {
    double weight = 2.;
    int some_int;
};

using Graph_1 = typename boost::adjacency_list<boost::listS,
                                               boost::vecS,
                                               boost::undirectedS,
                                               VertexBundle,
                                               EdgeBundle_1>;

using Graph_2 = typename boost::adjacency_list<boost::listS,
                                               boost::vecS,
                                               boost::undirectedS,
                                               VertexBundle,
                                               EdgeBundle_2>;

现在我想访问一个任意的边缘包Graph,所以我必须替换&EdgeBundle_1以下仅适用于的代码Graph_1

template <typename Graph>
void do_sth_with_bundled_weight(Graph& g){
    boost::dynamic_properties dp(boost::ignore_other_properties);
    dp.property("weight", boost::get(&EdgeBundle_1::weight, g));

    ... // here, I read in the graph via `boost::read_graphml(if_stream, g, dp);`
}

在此 boost 文档页面的最底部,除了如何访问捆绑属性的类型之外,我找不到任何其他内容。

我很感激任何帮助!:)

标签: c++templatesboostboost-graph

解决方案


对于 BGL,真正的问题是“如何做任何非通用的事情”:)

所以,你可以像 boost 那样做。所有算法都采用属性映射,抽象出图形元素及其属性之间的关系。

通常这将与特定于算法的临时属性有关,但没有什么可以阻止您在更多地方使用它。

最好的事情是,你已经有了属性映射,它正是变量部分:get(&EdgeBundle_1::weight, g),所以只需将其作为参数:

template <typename Graph, typename WeightMap>
void write_graph(std::ostream& os, Graph& g, WeightMap weight_map) {
    boost::dynamic_properties dp;
    dp.property("weight", weight_map);

    boost::write_graphml(os, g, dp);
}

template <typename Graph, typename WeightMap>
void read_graph(Graph& g, WeightMap weight_map) {
    boost::dynamic_properties dp(boost::ignore_other_properties);
    dp.property("weight", weight_map);

    std::ifstream ifs("input.xml", std::ios::binary);
    g.clear();
    boost::read_graphml(ifs, g, dp);
}

您甚至可以将其设为库默认边缘权重图的默认值:

template <typename Graph> void read_graph(Graph& g) {
    return read_graph(g, get(boost::edge_weight, g));
}

template <typename Graph> void write_graph(std::ostream& os, Graph& g) {
    return write_graph(os, g, get(boost::edge_weight, g));
}

演示:读取和比较相等

往返 Graph_1 和 Graph_2 的以下 XML 并检查相等性:

<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
  <key id="key0" for="edge" attr.name="weight" attr.type="double" />
  <graph id="G" edgedefault="undirected" parse.nodeids="free" parse.edgeids="canonical" parse.order="nodesfirst">
    <node id="n0">
    </node>
    <node id="n1">
    </node>
    <node id="n2">
    </node>
    <node id="n3">
    </node>
    <node id="n4">
    </node>
    <node id="n5">
    </node>
    <node id="n6">
    </node>
    <node id="n7">
    </node>
    <node id="n8">
    </node>
    <node id="n9">
    </node>
    <edge id="e0" source="n0" target="n7">
      <data key="key0">2.2</data>
    </edge>
    <edge id="e1" source="n7" target="n3">
      <data key="key0">3.3</data>
    </edge>
    <edge id="e2" source="n3" target="n2">
      <data key="key0">4.4</data>
    </edge>
  </graph>
</graphml>

在此处输入图像描述

住在科利鲁

#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/graphml.hpp>
#include <iostream>
#include <fstream>

struct VertexBundle {};

struct EdgeBundle_1 {
    double weight = 1.;
};

struct EdgeBundle_2 {
    double weight = 2.;
    int some_int;
};

using Graph_1 = typename boost::adjacency_list<
    boost::listS, boost::vecS, boost::undirectedS, VertexBundle, EdgeBundle_1>;

using Graph_2 = typename boost::adjacency_list<
    boost::listS, boost::vecS, boost::undirectedS, VertexBundle, EdgeBundle_2>;

template <typename Graph, typename WeightMap>
void write_graph(std::ostream& os, Graph& g, WeightMap weight_map) {
    boost::dynamic_properties dp;
    dp.property("weight", weight_map);

    boost::write_graphml(os, g, dp);
}

template <typename Graph, typename WeightMap>
void read_graph(std::istream& is, Graph& g, WeightMap weight_map) {
    boost::dynamic_properties dp(boost::ignore_other_properties);
    dp.property("weight", weight_map);

    g.clear();
    boost::read_graphml(is, g, dp);
}

template <typename Graph> void read_graph(std::istream& is, Graph& g) {
    return read_graph(is, g, get(boost::edge_weight, g));
}

template <typename Graph> void write_graph(std::ostream& os, Graph& g) {
    return write_graph(os, g, get(boost::edge_weight, g));
}

extern std::string const demo_xml;

int main() {
    Graph_1 g1;
    Graph_2 g2;
    auto w1 = get(&EdgeBundle_1::weight, g1);
    auto w2 = get(&EdgeBundle_2::weight, g2);

    auto roundtrip = [](auto g, auto w) {
        {
            std::istringstream is(demo_xml);
            read_graph(is, g, w);
        }

        std::ostringstream os;
        write_graph(os, g, w);
        return os.str();
    };

    auto xml1 = roundtrip(Graph_1{}, w1);
    auto xml2 = roundtrip(Graph_2{}, w2);

    std::cout << "Equal:" << std::boolalpha << (xml1 == xml2) << "\n";
}

印刷

Equal:true

奖金

要获得更多自动化,您可以告诉 BGL 您的带有特征的属性映射,这样您就不必再手动指定它了。

更新将此添加为手指练习。警告:这不适合胆小的人。就代码行而言,我看起来很无害,但实际上它非常密集,并且使用了许多高级和微妙的库和语言特性。

在自定义命名空间(例如MyLib)中,我们创建了一个可以自定义的包装器类型:

template <typename Impl> struct Graph {
    Impl&       graph() { return _impl; };
    Impl const& graph() const { return _impl; };
    void clear() { _impl.clear(); }
  private:
    Impl _impl;
};

接下来,我们委托常见的 BGL 操作:

namespace detail {
    template <typename... T> static auto& fwd_impl(Graph<T...>& g) {
        return g.graph();
    }
    template <typename... T> static auto const& fwd_impl(Graph<T...> const& g) {
        return g.graph();
    }
    template <typename T> static decltype(auto) fwd_impl(T&& v) {
        return std::forward<T>(v);
    }
}

#define DELEGATE_ONE(r, _, name)                                               \
    template <typename... Args>                                                \
    static inline decltype(auto) name(Args&&... args) {                        \
        return (boost::name)(                                                  \
            detail::fwd_impl(std::forward<decltype(args)>(args))...);          \
    }
#define DELEGATE(...)                                                          \
    BOOST_PP_SEQ_FOR_EACH(DELEGATE_ONE, _,                                     \
                          BOOST_PP_VARIADIC_TO_SEQ(__VA_ARGS__))

    DELEGATE(add_vertex, add_edge, vertices, edges, num_vertices, num_edges,
             out_edges, out_degree, get, source, target, vertex)
#undef DELEGATE
#undef DELEGATE_ONE

是的。好多啊。基本上,如果 ADL 关联我们的命名空间,我们会委托所有命名的自由函数,并且我们将所有参数未经修改地转发给 boost 版本,但包装Graph<>器被替换为_impl.

接下来,我们添加我们正在寻找的扭曲:

// The crux: overriding the edge_weight map to access the bundle
template <typename Impl> auto get(boost::edge_weight_t, Graph<Impl>& g) {
    auto bundle_map = boost::get(boost::edge_bundle, g.graph());
    auto accessor   = [](auto& bundle) -> decltype(auto) {
        return access_edge_weight(bundle);
    };

    return boost::make_transform_value_property_map(accessor, bundle_map);
}

我们使用包装器重新定义原始图:

using Graph_1 = Graph<GraphImpl_1>;
using Graph_2 = Graph<GraphImpl_2>;

性状

特征不是自由函数,需要在我们的命名空间之外。为简洁起见,我使用 c++17 语法:

template <typename Impl>
struct boost::graph_traits<MyLib::Graph<Impl>> : boost::graph_traits<Impl> {};

template <typename Impl, typename Property>
struct boost::graph_property<MyLib::Graph<Impl>, Property>
    : boost::graph_property<Impl, Property> {};

template <typename Impl, typename Property>
struct boost::property_map<MyLib::Graph<Impl>, Property>
    : boost::property_map<Impl, Property> {};

那里。这告诉 BGL 我们的图是我们的特征/属性映射的实现类型。

但是,我们确实覆盖了 edge_weight_t地图:

template <typename Impl>
struct boost::property_map<MyLib::Graph<Impl>, boost::edge_weight_t> {
    using Wrapper = MyLib::Graph<Impl>;
    using type = decltype(MyLib::get(boost::edge_weight, std::declval<Wrapper&>()));
    using const_type = decltype(MyLib::get(boost::edge_weight, std::declval<Wrapper const&>()));
};

(为简洁起见,再次自由地使用 c++14 功能。)

证据

所有这些神奇的东西让我们现在不必提供属性映射,而是自动检测到它:

住在科利鲁

int main() {
    auto roundtrip = [](auto g) {
        std::istringstream is(demo_xml);
        read_graph(is, g);

        std::ostringstream os;
        write_graph(os, g);
        return os.str();
    };

    std::cerr << "Equal:" << std::boolalpha
              << (roundtrip(MyLib::Graph_1{}) == roundtrip(MyLib::Graph_2{}))
              << "\n";
}

仍然打印

Equal:true

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