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