graph/test/subgraph_bundled.cpp
2019-05-08 18:10:07 -04:00

139 lines
4.6 KiB
C++

// (C) Copyright Jeremy Siek 2004
// (C) Copyright Andrew Sutton 2009
// Distributed under the Boost Software License, Version 1.0. (See
// accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)
#include <set>
#include <boost/random/mersenne_twister.hpp>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/subgraph.hpp>
#include <boost/graph/random.hpp>
#include "graph_test.hpp"
#include <boost/graph/iteration_macros.hpp>
using namespace boost;
struct node
{
int color;
};
struct arc
{
int weight;
};
typedef property< edge_index_t, std::size_t, arc > arc_prop;
typedef adjacency_list< vecS, vecS, bidirectionalS, node, arc_prop > Graph;
typedef subgraph< Graph > Subgraph;
typedef graph_traits< Subgraph >::vertex_descriptor Vertex;
typedef graph_traits< Subgraph >::edge_descriptor Edge;
typedef graph_traits< Subgraph >::vertex_iterator VertexIter;
typedef graph_traits< Subgraph >::edge_iterator EdgeIter;
int main(int, char*[])
{
mt19937 gen;
for (int t = 0; t < 100; t += 5)
{
Subgraph g;
int N = t + 2;
std::vector< Vertex > vertex_set;
std::vector< std::pair< Vertex, Vertex > > edge_set;
generate_random_graph(g, N, N * 2, gen, std::back_inserter(vertex_set),
std::back_inserter(edge_set));
graph_test< Subgraph > gt;
gt.test_incidence_graph(vertex_set, edge_set, g);
gt.test_bidirectional_graph(vertex_set, edge_set, g);
gt.test_adjacency_graph(vertex_set, edge_set, g);
gt.test_vertex_list_graph(vertex_set, g);
gt.test_edge_list_graph(vertex_set, edge_set, g);
gt.test_adjacency_matrix(vertex_set, edge_set, g);
std::vector< Vertex > sub_vertex_set;
std::vector< Vertex > sub_global_map;
std::vector< Vertex > global_sub_map(num_vertices(g));
std::vector< std::pair< Vertex, Vertex > > sub_edge_set;
Subgraph& g_s = g.create_subgraph();
const std::set< Vertex >::size_type Nsub = N / 2;
// Collect a set of random vertices to put in the subgraph
std::set< Vertex > verts;
while (verts.size() < Nsub)
verts.insert(random_vertex(g, gen));
for (std::set< Vertex >::iterator it = verts.begin(); it != verts.end();
++it)
{
Vertex v_global = *it;
Vertex v = add_vertex(v_global, g_s);
sub_vertex_set.push_back(v);
sub_global_map.push_back(v_global);
global_sub_map[v_global] = v;
}
// compute induced edges
BGL_FORALL_EDGES(e, g, Subgraph)
if (container_contains(sub_global_map, source(e, g))
&& container_contains(sub_global_map, target(e, g)))
sub_edge_set.push_back(std::make_pair(
global_sub_map[source(e, g)], global_sub_map[target(e, g)]));
gt.test_incidence_graph(sub_vertex_set, sub_edge_set, g_s);
gt.test_bidirectional_graph(sub_vertex_set, sub_edge_set, g_s);
gt.test_adjacency_graph(sub_vertex_set, sub_edge_set, g_s);
gt.test_vertex_list_graph(sub_vertex_set, g_s);
gt.test_edge_list_graph(sub_vertex_set, sub_edge_set, g_s);
gt.test_adjacency_matrix(sub_vertex_set, sub_edge_set, g_s);
if (num_vertices(g_s) == 0)
return 0;
// Test property maps for vertices.
typedef property_map< Subgraph, int node::* >::type ColorMap;
ColorMap colors = get(&node::color, g_s);
for (std::pair< VertexIter, VertexIter > r = vertices(g_s);
r.first != r.second; ++r.first)
colors[*r.first] = 0;
// Test property maps for edges.
typedef property_map< Subgraph, int arc::* >::type WeightMap;
WeightMap weights = get(&arc::weight, g_s);
for (std::pair< EdgeIter, EdgeIter > r = edges(g_s);
r.first != r.second; ++r.first)
{
weights[*r.first] = 12;
}
// A regression test: the copy constructor of subgraph did not
// copy one of the members, so local_edge->global_edge mapping
// was broken.
{
Subgraph g;
graph_traits< Graph >::vertex_descriptor v1, v2;
v1 = add_vertex(g);
v2 = add_vertex(g);
add_edge(v1, v2, g);
Subgraph sub
= g.create_subgraph(vertices(g).first, vertices(g).second);
graph_traits< Graph >::edge_iterator ei, ee;
for (boost::tie(ei, ee) = edges(sub); ei != ee; ++ei)
{
// This used to segfault.
get(&arc::weight, sub, *ei);
}
}
}
return boost::report_errors();
}