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Merged Boost.Graph changes from trunk for 1.53
[SVN r82061]
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293
test/vf2_sub_graph_iso_test.cpp
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293
test/vf2_sub_graph_iso_test.cpp
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//=======================================================================
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// Boost.Graph library vf2_sub_graph_iso test
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// Adapted from isomorphism.cpp and mcgregor_subgraphs_test.cpp
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//
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// Copyright (C) 2012 Flavio De Lorenzi (fdlorenzi@gmail.com)
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//
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// Distributed under the Boost Software License, Version 1.0. (See
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// accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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//=======================================================================
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#include <iostream>
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#include <fstream>
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#include <map>
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#include <algorithm>
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#include <cstdlib>
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#include <time.h>
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#include <boost/test/minimal.hpp>
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#include <boost/graph/adjacency_list.hpp>
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#include <boost/graph/vf2_sub_graph_iso.hpp>
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#include <boost/graph/random.hpp>
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#include <boost/property_map/property_map.hpp>
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#include <boost/random.hpp>
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#include <boost/random/variate_generator.hpp>
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#include <boost/random/uniform_real.hpp>
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#include <boost/random/uniform_int.hpp>
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#include <boost/random/mersenne_twister.hpp>
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#include <boost/lexical_cast.hpp>
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#include <boost/graph/graphviz.hpp>
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using namespace boost;
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template <typename Generator>
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struct random_functor {
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random_functor(Generator& g) : g(g) { }
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std::size_t operator()(std::size_t n) {
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boost::uniform_int<std::size_t> distrib(0, n-1);
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boost::variate_generator<boost::mt19937&, boost::uniform_int<std::size_t> >
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x(g, distrib);
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return x();
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}
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Generator& g;
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};
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template<typename Graph1, typename Graph2>
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void randomly_permute_graph(Graph1& g1, const Graph2& g2) {
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BOOST_REQUIRE(num_vertices(g1) <= num_vertices(g2));
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BOOST_REQUIRE(num_edges(g1) == 0);
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typedef typename graph_traits<Graph1>::vertex_descriptor vertex1;
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typedef typename graph_traits<Graph2>::vertex_descriptor vertex2;
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typedef typename graph_traits<Graph1>::vertex_iterator vertex_iterator;
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typedef typename graph_traits<Graph2>::edge_iterator edge_iterator;
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boost::mt19937 gen;
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random_functor<boost::mt19937> rand_fun(gen);
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// Decide new order
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std::vector<vertex2> orig_vertices;
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std::copy(vertices(g2).first, vertices(g2).second, std::back_inserter(orig_vertices));
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std::random_shuffle(orig_vertices.begin(), orig_vertices.end(), rand_fun);
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std::map<vertex2, vertex1> vertex_map;
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std::size_t i = 0;
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for (vertex_iterator vi = vertices(g1).first;
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vi != vertices(g1).second; ++i, ++vi) {
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vertex_map[orig_vertices[i]] = *vi;
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put(vertex_name_t(), g1, *vi, get(vertex_name_t(), g2, orig_vertices[i]));
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}
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for (edge_iterator ei = edges(g2).first; ei != edges(g2).second; ++ei) {
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typename std::map<vertex2, vertex1>::iterator si = vertex_map.find(source(*ei, g2)),
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ti = vertex_map.find(target(*ei, g2));
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if ((si != vertex_map.end()) && (ti != vertex_map.end()))
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add_edge(si->second, ti->second, get(edge_name_t(), g2, *ei), g1);
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}
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}
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template<typename Graph>
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void generate_random_digraph(Graph& g, double edge_probability,
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int max_parallel_edges, double parallel_edge_probability,
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int max_edge_name, int max_vertex_name) {
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BOOST_REQUIRE((0 <= edge_probability) && (edge_probability <= 1));
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BOOST_REQUIRE((0 <= parallel_edge_probability) && (parallel_edge_probability <= 1));
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BOOST_REQUIRE(0 <= max_parallel_edges);
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BOOST_REQUIRE(0 <= max_edge_name);
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BOOST_REQUIRE(0 <= max_vertex_name);
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typedef typename graph_traits<Graph>::vertex_iterator vertex_iterator;
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boost::mt19937 random_gen;
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boost::uniform_real<double> dist_real(0.0, 1.0);
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boost::variate_generator<boost::mt19937&, boost::uniform_real<double> >
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random_real_dist(random_gen, dist_real);
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for (vertex_iterator u = vertices(g).first; u != vertices(g).second; ++u) {
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for (vertex_iterator v = vertices(g).first; v != vertices(g).second; ++v) {
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if (random_real_dist() <= edge_probability) {
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add_edge(*u, *v, g);
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for (int i = 0; i < max_parallel_edges; ++i) {
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if (random_real_dist() <= parallel_edge_probability)
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add_edge(*u, *v, g);
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}
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}
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}
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}
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{
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boost::uniform_int<int> dist_int(0, max_edge_name);
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boost::variate_generator<boost::mt19937&, boost::uniform_int<int> >
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random_int_dist(random_gen, dist_int);
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randomize_property<vertex_name_t>(g, random_int_dist);
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}
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{
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boost::uniform_int<int> dist_int(0, max_vertex_name);
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boost::variate_generator<boost::mt19937&, boost::uniform_int<int> >
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random_int_dist(random_gen, dist_int);
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randomize_property<edge_name_t>(g, random_int_dist);
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}
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}
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template <typename Graph1,
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typename Graph2,
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typename EdgeEquivalencePredicate,
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typename VertexEquivalencePredicate>
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struct test_callback {
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test_callback(const Graph1& graph1, const Graph2& graph2,
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EdgeEquivalencePredicate edge_comp,
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VertexEquivalencePredicate vertex_comp, bool output)
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: graph1_(graph1), graph2_(graph2), edge_comp_(edge_comp), vertex_comp_(vertex_comp),
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output_(output) {}
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template <typename CorrespondenceMap1To2,
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typename CorrespondenceMap2To1>
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bool operator()(CorrespondenceMap1To2 f, CorrespondenceMap2To1) {
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bool verified;
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BOOST_CHECK(verified = verify_vf2_subgraph_iso(graph1_, graph2_, f, edge_comp_, vertex_comp_));
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// Output (sub)graph isomorphism map
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if (!verified || output_) {
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std::cout << "Verfied: " << std::boolalpha << verified << std::endl;
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std::cout << "Num vertices: " << num_vertices(graph1_) << ' ' << num_vertices(graph2_) << std::endl;
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BGL_FORALL_VERTICES_T(v, graph1_, Graph1)
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std::cout << '(' << get(vertex_index_t(), graph1_, v) << ", "
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<< get(vertex_index_t(), graph2_, get(f, v)) << ") ";
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std::cout << std::endl;
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}
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return true;
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}
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private:
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const Graph1& graph1_;
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const Graph2& graph2_;
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EdgeEquivalencePredicate edge_comp_;
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VertexEquivalencePredicate vertex_comp_;
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bool output_;
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};
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void test_vf2_sub_graph_iso(int n1, int n2, double edge_probability,
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int max_parallel_edges, double parallel_edge_probability,
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int max_edge_name, int max_vertex_name, bool output) {
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typedef property<edge_name_t, int> edge_property;
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typedef property<vertex_name_t, int, property<vertex_index_t, int> > vertex_property;
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typedef adjacency_list<listS, listS, bidirectionalS, vertex_property, edge_property> graph1;
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typedef adjacency_list<vecS, vecS, bidirectionalS, vertex_property, edge_property> graph2;
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graph1 g1(n1);
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graph2 g2(n2);
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generate_random_digraph(g2, edge_probability, max_parallel_edges, parallel_edge_probability,
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max_edge_name, max_vertex_name);
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randomly_permute_graph(g1, g2);
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int v_idx = 0;
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for (graph_traits<graph1>::vertex_iterator vi = vertices(g1).first;
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vi != vertices(g1).second; ++vi) {
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put(vertex_index_t(), g1, *vi, v_idx++);
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}
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// Create vertex and edge predicates
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typedef property_map<graph1, vertex_name_t>::type vertex_name_map1;
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typedef property_map<graph2, vertex_name_t>::type vertex_name_map2;
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typedef property_map_equivalent<vertex_name_map1, vertex_name_map2> vertex_predicate;
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vertex_predicate vertex_comp =
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make_property_map_equivalent(get(vertex_name, g1), get(vertex_name, g2));
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typedef property_map<graph1, edge_name_t>::type edge_name_map1;
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typedef property_map<graph2, edge_name_t>::type edge_name_map2;
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typedef property_map_equivalent<edge_name_map1, edge_name_map2> edge_predicate;
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edge_predicate edge_comp =
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make_property_map_equivalent(get(edge_name, g1), get(edge_name, g2));
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std::clock_t start = std::clock();
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// Create callback
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test_callback<graph1, graph2, edge_predicate, vertex_predicate>
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callback(g1, g2, edge_comp, vertex_comp, output);
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std::cout << std::endl;
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BOOST_CHECK(vf2_subgraph_iso(g1, g2, callback, vertex_order_by_mult(g1),
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edges_equivalent(edge_comp).vertices_equivalent(vertex_comp)));
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std::clock_t end1 = std::clock();
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std::cout << "vf2_subgraph_iso: elapsed time (clock cycles): " << (end1 - start) << std::endl;
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if (num_vertices(g1) == num_vertices(g2)) {
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std::cout << std::endl;
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BOOST_CHECK(vf2_graph_iso(g1, g2, callback, vertex_order_by_mult(g1),
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edges_equivalent(edge_comp).vertices_equivalent(vertex_comp)));
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std::clock_t end2 = std::clock();
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std::cout << "vf2_graph_iso: elapsed time (clock cycles): " << (end2 - end1) << std::endl;
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}
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if (output) {
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std::fstream file_graph1("graph1.dot", std::fstream::out);
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write_graphviz(file_graph1, g1,
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make_label_writer(get(boost::vertex_name, g1)),
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make_label_writer(get(boost::edge_name, g1)));
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std::fstream file_graph2("graph2.dot", std::fstream::out);
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write_graphviz(file_graph2, g2,
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make_label_writer(get(boost::vertex_name, g2)),
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make_label_writer(get(boost::edge_name, g2)));
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}
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}
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int test_main(int argc, char* argv[]) {
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int num_vertices_g1 = 10;
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int num_vertices_g2 = 20;
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double edge_probability = 0.4;
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int max_parallel_edges = 2;
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double parallel_edge_probability = 0.4;
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int max_edge_name = 5;
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int max_vertex_name = 5;
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bool output = false;
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if (argc > 1) {
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num_vertices_g1 = boost::lexical_cast<int>(argv[1]);
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}
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if (argc > 2) {
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num_vertices_g2 = boost::lexical_cast<int>(argv[2]);
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}
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if (argc > 3) {
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edge_probability = boost::lexical_cast<double>(argv[3]);
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}
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if (argc > 4) {
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max_parallel_edges = boost::lexical_cast<int>(argv[4]);
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}
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if (argc > 5) {
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parallel_edge_probability = boost::lexical_cast<double>(argv[5]);
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}
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if (argc > 6) {
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max_edge_name = boost::lexical_cast<int>(argv[6]);
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}
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if (argc > 7) {
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max_vertex_name = boost::lexical_cast<int>(argv[7]);
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}
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if (argc > 8) {
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output = boost::lexical_cast<bool>(argv[8]);
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}
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test_vf2_sub_graph_iso(num_vertices_g1, num_vertices_g2, edge_probability,
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max_parallel_edges, parallel_edge_probability,
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max_edge_name, max_vertex_name, output);
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return 0;
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}
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