// Copyright 2004 The Trustees of Indiana University. // Use, modification and distribution is subject to 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) // Authors: Douglas Gregor // Andrew Lumsdaine #include #include #include #include #include #include #include #include #include #include #include #include using namespace boost; enum vertex_position_t { vertex_position }; namespace boost { BOOST_INSTALL_PROPERTY(vertex, position); } typedef square_topology<>::point_type point; template void print_graph_layout(const Graph& g, PositionMap position, const Topology& topology) { typedef typename Topology::point_type Point; // Find min/max ranges Point min_point = position[*vertices(g).first], max_point = min_point; BGL_FORALL_VERTICES_T(v, g, Graph) { min_point = topology.pointwise_min(min_point, position[v]); max_point = topology.pointwise_max(max_point, position[v]); } for (int y = (int)min_point[1]; y <= (int)max_point[1]; ++y) { for (int x = (int)min_point[0]; x <= (int)max_point[0]; ++x) { typename graph_traits::vertex_iterator vi, vi_end; // Find vertex at this position typename graph_traits::vertices_size_type index = 0; for (boost::tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi, ++index) { if ((int)position[*vi][0] == x && (int)position[*vi][1] == y) break; } if (vi == vi_end) std::cout << ' '; else std::cout << (char)(index + 'A'); } std::cout << std::endl; } } template void dump_graph_layout(std::string name, const Graph& g, PositionMap position) { std::ofstream out((name + ".dot").c_str()); out << "graph " << name << " {" << std::endl; typename graph_traits::vertex_iterator vi, vi_end; for (boost::tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi) { out << " n" << get(vertex_index, g, *vi) << "[ pos=\"" << (int)position[*vi][0] + 25 << ", " << (int)position[*vi][1] + 25 << "\" ];\n"; } typename graph_traits::edge_iterator ei, ei_end; for (boost::tie(ei, ei_end) = edges(g); ei != ei_end; ++ei) { out << " n" << get(vertex_index, g, source(*ei, g)) << " -- n" << get(vertex_index, g, target(*ei, g)) << ";\n"; } out << "}\n"; } template void test_circle_layout(Graph*, typename graph_traits::vertices_size_type n) { typedef typename graph_traits::vertex_iterator vertex_iterator; typedef typename graph_traits::vertices_size_type vertices_size_type; Graph g(n); // Initialize vertex indices vertex_iterator vi = vertices(g).first; for (vertices_size_type i = 0; i < n; ++i, ++vi) put(vertex_index, g, *vi, i); circle_graph_layout(g, get(vertex_position, g), 10.0); std::cout << "Regular polygon layout with " << n << " points.\n"; square_topology<> topology; print_graph_layout(g, get(vertex_position, g), topology); } struct simple_edge { int first, second; }; struct kamada_kawai_done { kamada_kawai_done() : last_delta() {} template bool operator()(double delta_p, typename boost::graph_traits::vertex_descriptor /*p*/, const Graph& /*g*/, bool global) { if (global) { double diff = last_delta - delta_p; if (diff < 0) diff = -diff; last_delta = delta_p; return diff < 0.01; } else { return delta_p < 0.01; } } double last_delta; }; template void test_triangle(Graph*) { typedef typename graph_traits::vertex_descriptor vertex_descriptor; typedef typename graph_traits::edge_descriptor edge_descriptor; Graph g; vertex_descriptor u = add_vertex(g); put(vertex_index, g, u, 0); vertex_descriptor v = add_vertex(g); put(vertex_index, g, v, 1); vertex_descriptor w = add_vertex(g); put(vertex_index, g, w, 2); edge_descriptor e1 = add_edge(u, v, g).first; put(edge_weight, g, e1, 1.0); edge_descriptor e2 = add_edge(v, w, g).first; put(edge_weight, g, e2, 1.0); edge_descriptor e3 = add_edge(w, u, g).first; put(edge_weight, g, e3, 1.0); circle_graph_layout(g, get(vertex_position, g), 25.0); bool ok = kamada_kawai_spring_layout(g, get(vertex_position, g), get(edge_weight, g), square_topology<>(50.0), side_length(50.0)); BOOST_CHECK(ok); std::cout << "Triangle layout (Kamada-Kawai).\n"; print_graph_layout(g, get(vertex_position, g)); } template void test_cube(Graph*) { enum {A, B, C, D, E, F, G, H}; simple_edge cube_edges[12] = { {A, E}, {A, B}, {A, D}, {B, F}, {B, C}, {C, D}, {C, G}, {D, H}, {E, H}, {E, F}, {F, G}, {G, H} }; Graph g(&cube_edges[0], &cube_edges[12], 8); typedef typename graph_traits::edge_iterator edge_iterator; typedef typename graph_traits::vertex_iterator vertex_iterator; vertex_iterator vi, vi_end; int i = 0; for (boost::tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi) put(vertex_index, g, *vi, i++); edge_iterator ei, ei_end; for (boost::tie(ei, ei_end) = edges(g); ei != ei_end; ++ei) { put(edge_weight, g, *ei, 1.0); std::cerr << "(" << (char)(get(vertex_index, g, source(*ei, g)) + 'A') << ", " << (char)(get(vertex_index, g, target(*ei, g)) + 'A') << ") "; } std::cerr << std::endl; circle_graph_layout(g, get(vertex_position, g), 25.0); bool ok = kamada_kawai_spring_layout(g, get(vertex_position, g), get(edge_weight, g), square_topology<>(50.0), side_length(50.0), kamada_kawai_done()); BOOST_CHECK(ok); std::cout << "Cube layout (Kamada-Kawai).\n"; print_graph_layout(g, get(vertex_position, g), square_topology<>(50.)); dump_graph_layout("cube", g, get(vertex_position, g)); minstd_rand gen; typedef square_topology<> Topology; Topology topology(gen, 50.0); std::vector displacements(num_vertices(g)); rectangle_topology<> rect_top(gen, 0, 0, 50, 50); random_graph_layout(g, get(vertex_position, g), rect_top); fruchterman_reingold_force_directed_layout (g, get(vertex_position, g), topology, square_distance_attractive_force(), square_distance_repulsive_force(), all_force_pairs(), linear_cooling(100), make_iterator_property_map(displacements.begin(), get(vertex_index, g), Topology::point_difference_type())); std::cout << "Cube layout (Fruchterman-Reingold).\n"; print_graph_layout(g, get(vertex_position, g), square_topology<>(50.)); dump_graph_layout("cube-fr", g, get(vertex_position, g)); } template void test_triangular(Graph*) { enum {A, B, C, D, E, F, G, H, I, J}; simple_edge triangular_edges[18] = { {A, B}, {A, C}, {B, C}, {B, D}, {B, E}, {C, E}, {C, F}, {D, E}, {D, G}, {D, H}, {E, F}, {E, H}, {E, I}, {F, I}, {F, J}, {G, H}, {H, I}, {I, J} }; Graph g(&triangular_edges[0], &triangular_edges[18], 10); typedef typename graph_traits::edge_iterator edge_iterator; typedef typename graph_traits::vertex_iterator vertex_iterator; vertex_iterator vi, vi_end; int i = 0; for (boost::tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi) put(vertex_index, g, *vi, i++); edge_iterator ei, ei_end; for (boost::tie(ei, ei_end) = edges(g); ei != ei_end; ++ei) { put(edge_weight, g, *ei, 1.0); std::cerr << "(" << (char)(get(vertex_index, g, source(*ei, g)) + 'A') << ", " << (char)(get(vertex_index, g, target(*ei, g)) + 'A') << ") "; } std::cerr << std::endl; typedef square_topology<> Topology; minstd_rand gen; Topology topology(gen, 50.0); Topology::point_type origin; origin[0] = origin[1] = 50.0; Topology::point_difference_type extent; extent[0] = extent[1] = 50.0; circle_graph_layout(g, get(vertex_position, g), 25.0); bool ok = kamada_kawai_spring_layout(g, get(vertex_position, g), get(edge_weight, g), topology, side_length(50.0), kamada_kawai_done()); BOOST_CHECK(ok); std::cout << "Triangular layout (Kamada-Kawai).\n"; print_graph_layout(g, get(vertex_position, g), square_topology<>(50.)); dump_graph_layout("triangular-kk", g, get(vertex_position, g)); rectangle_topology<> rect_top(gen, -25, -25, 25, 25); random_graph_layout(g, get(vertex_position, g), rect_top); dump_graph_layout("random", g, get(vertex_position, g)); std::vector displacements(num_vertices(g)); fruchterman_reingold_force_directed_layout (g, get(vertex_position, g), topology, attractive_force(square_distance_attractive_force()). cooling(linear_cooling(100))); std::cout << "Triangular layout (Fruchterman-Reingold).\n"; print_graph_layout(g, get(vertex_position, g), square_topology<>(50.)); dump_graph_layout("triangular-fr", g, get(vertex_position, g)); } template void test_disconnected(Graph*) { enum {A, B, C, D, E, F, G, H}; simple_edge triangular_edges[13] = { {A, B}, {B, C}, {C, A}, {D, E}, {E, F}, {F, G}, {G, H}, {H, D}, {D, F}, {F, H}, {H, E}, {E, G}, {G, D} }; Graph g(&triangular_edges[0], &triangular_edges[13], 8); typedef typename graph_traits::edge_iterator edge_iterator; typedef typename graph_traits::vertex_iterator vertex_iterator; vertex_iterator vi, vi_end; int i = 0; for (boost::tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi) put(vertex_index, g, *vi, i++); edge_iterator ei, ei_end; for (boost::tie(ei, ei_end) = edges(g); ei != ei_end; ++ei) { put(edge_weight, g, *ei, 1.0); std::cerr << "(" << (char)(get(vertex_index, g, source(*ei, g)) + 'A') << ", " << (char)(get(vertex_index, g, target(*ei, g)) + 'A') << ") "; } std::cerr << std::endl; circle_graph_layout(g, get(vertex_position, g), 25.0); bool ok = kamada_kawai_spring_layout(g, get(vertex_position, g), get(edge_weight, g), square_topology<>(50.0), side_length(50.0), kamada_kawai_done()); BOOST_CHECK(!ok); minstd_rand gen; rectangle_topology<> rect_top(gen, -25, -25, 25, 25); random_graph_layout(g, get(vertex_position, g), rect_top); typedef square_topology<> Topology; Topology topology(gen, 50.0); std::vector displacements(num_vertices(g)); fruchterman_reingold_force_directed_layout (g, get(vertex_position, g), topology, attractive_force(square_distance_attractive_force()). cooling(linear_cooling(50))); std::cout << "Disconnected layout (Fruchterman-Reingold).\n"; print_graph_layout(g, get(vertex_position, g), square_topology<>(50.)); dump_graph_layout("disconnected-fr", g, get(vertex_position, g)); } int test_main(int, char*[]) { typedef adjacency_list >, // Edge properties property > Graph; test_circle_layout((Graph*)0, 5); test_cube((Graph*)0); test_triangular((Graph*)0); test_disconnected((Graph*)0); return 0; }