175 lines
6.0 KiB
C++
175 lines
6.0 KiB
C++
// Copyright 2004 The Trustees of Indiana University.
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// Use, modification and distribution is subject to the Boost Software
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// License, Version 1.0. (See 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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// Authors: Douglas Gregor
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// Andrew Lumsdaine
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#ifndef BOOST_GRAPH_DIJKSTRA_TESTING_DIETMAR
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# define BOOST_GRAPH_DIJKSTRA_TESTING
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#endif
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#include <boost/graph/dijkstra_shortest_paths.hpp>
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#include <boost/graph/dijkstra_shortest_paths_no_color_map.hpp>
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#include <boost/graph/adjacency_list.hpp>
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#include <boost/random/linear_congruential.hpp>
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#include <boost/lexical_cast.hpp>
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#include <boost/random/uniform_real.hpp>
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#include <boost/timer.hpp>
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#include <vector>
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#include <iostream>
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#include <iterator>
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#include <utility>
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#include <boost/random/uniform_int.hpp>
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#include <boost/graph/graph_traits.hpp>
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#include <boost/graph/erdos_renyi_generator.hpp>
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#include <boost/type_traits/is_base_and_derived.hpp>
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#include <boost/type_traits/is_same.hpp>
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#include <boost/detail/lightweight_test.hpp>
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using namespace boost;
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#ifdef BOOST_GRAPH_DIJKSTRA_TESTING_DIETMAR
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struct show_events_visitor : dijkstra_visitor<>
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{
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template<typename Vertex, typename Graph>
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void discover_vertex(Vertex v, const Graph&)
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{
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std::cerr << "on_discover_vertex(" << v << ")\n";
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}
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template<typename Vertex, typename Graph>
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void examine_vertex(Vertex v, const Graph&)
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{
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std::cerr << "on_discover_vertex(" << v << ")\n";
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}
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};
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template<typename Graph, typename Kind>
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void run_test(const Graph& g, const char* name, Kind kind,
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const std::vector<double>& correct_distances)
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{
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std::vector<double> distances(num_vertices(g));
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std::cout << "Running Dijkstra's with " << name << "...";
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std::cout.flush();
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timer t;
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dijkstra_heap_kind = kind;
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dijkstra_shortest_paths(g, vertex(0, g),
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distance_map(&distances[0]).
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visitor(show_events_visitor()));
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double run_time = t.elapsed();
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std::cout << run_time << " seconds.\n";
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BOOST_TEST(distances == correct_distances);
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if (distances != correct_distances)
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{
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std::cout << "Expected: ";
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std::copy(correct_distances.begin(), correct_distances.end(),
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std::ostream_iterator<double>(std::cout, " "));
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std::cout << "\nReceived: ";
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std::copy(distances.begin(), distances.end(),
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std::ostream_iterator<double>(std::cout, " "));
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std::cout << std::endl;
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}
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}
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#endif
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int main(int argc, char* argv[])
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{
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unsigned n = (argc > 1? lexical_cast<unsigned>(argv[1]) : 10000u);
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unsigned m = (argc > 2? lexical_cast<unsigned>(argv[2]) : 10*n);
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int seed = (argc > 3? lexical_cast<int>(argv[3]) : 1);
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// Build random graph
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typedef adjacency_list<vecS, vecS, directedS, no_property,
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property<edge_weight_t, double> > Graph;
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std::cout << "Generating graph...";
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std::cout.flush();
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minstd_rand gen(seed);
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double p = double(m)/(double(n)*double(n));
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Graph g(erdos_renyi_iterator<minstd_rand, Graph>(gen, n, p),
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erdos_renyi_iterator<minstd_rand, Graph>(),
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n);
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std::cout << n << " vertices, " << num_edges(g) << " edges.\n";
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uniform_real<double> rand01(0.0, 1.0);
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graph_traits<Graph>::edge_iterator ei, ei_end;
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for (boost::tie(ei, ei_end) = edges(g); ei != ei_end; ++ei)
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put(edge_weight, g, *ei, rand01(gen));
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std::vector<double> binary_heap_distances(n);
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std::vector<double> relaxed_heap_distances(n);
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std::vector<double> no_color_map_distances(n);
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// Run binary or d-ary heap version
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std::cout << "Running Dijkstra's with binary heap...";
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std::cout.flush();
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timer t;
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dijkstra_shortest_paths(g, vertex(0, g),
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distance_map(
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boost::make_iterator_property_map(
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binary_heap_distances.begin(), get(boost::vertex_index, g))));
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double binary_heap_time = t.elapsed();
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std::cout << binary_heap_time << " seconds.\n";
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std::cout << "Running Dijkstra's with d-ary heap (d=4)...";
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std::cout.flush();
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t.restart();
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dijkstra_shortest_paths(g, vertex(0, g),
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distance_map(
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boost::make_iterator_property_map(
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relaxed_heap_distances.begin(), get(boost::vertex_index, g))));
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double relaxed_heap_time = t.elapsed();
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std::cout << relaxed_heap_time << " seconds.\n"
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<< "Speedup = " << (binary_heap_time / relaxed_heap_time) << ".\n";
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// Verify that the results are equivalent
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BOOST_TEST(binary_heap_distances == relaxed_heap_distances);
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// Run Michael's no-color-map version
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std::cout << "Running Dijkstra's (no color map) with d-ary heap (d=4)...";
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std::cout.flush();
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t.restart();
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dijkstra_shortest_paths_no_color_map
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(g, vertex(0, g),
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boost::dummy_property_map(),
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boost::make_iterator_property_map(no_color_map_distances.begin(),
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get(boost::vertex_index, g),
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0.),
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get(boost::edge_weight, g),
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get(boost::vertex_index, g),
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std::less<double>(),
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boost::closed_plus<double>(),
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(std::numeric_limits<double>::max)(),
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0,
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make_dijkstra_visitor(null_visitor())
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);
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double no_color_map_time = t.elapsed();
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std::cout << no_color_map_time << " seconds.\n"
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<< "Speedup = " << (binary_heap_time / no_color_map_time) << ".\n";
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// Verify that the results are equivalent
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BOOST_TEST(binary_heap_distances == no_color_map_distances);
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#ifdef BOOST_GRAPH_DIJKSTRA_TESTING_DIETMAR
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run_test(g, "d-ary heap (d=2)", dijkstra_d_heap_2, binary_heap_distances);
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run_test(g, "d-ary heap (d=3)", dijkstra_d_heap_3, binary_heap_distances);
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run_test(g, "Fibonacci heap", dijkstra_fibonacci_heap, binary_heap_distances);
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run_test(g, "Lazy Fibonacci heap", dijkstra_lazy_fibonacci_heap, binary_heap_distances);
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run_test(g, "Pairing heap", dijkstra_pairing_heap, binary_heap_distances);
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run_test(g, "Splay heap", dijkstra_splay_heap, binary_heap_distances);
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#endif
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return boost::report_errors();
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}
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