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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/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();
boost::timer::cpu_timer t;
t.start();
dijkstra_heap_kind = kind;
dijkstra_shortest_paths(g, vertex(0, g),
distance_map(&distances[0]).visitor(show_events_visitor()));
double run_time = t.stop();
std::cout << t.format() << " 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 (boost::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();
boost::timer::cpu_timer t;
t.start();
dijkstra_shortest_paths(g, vertex(0, g),
distance_map(boost::make_iterator_property_map(
binary_heap_distances.begin(), get(boost::vertex_index, g))));
t.stop();
boost::timer::cpu_times binary_heap_time = t.elapsed();
std::cout << boost::timer::format(binary_heap_time) << " seconds.\n";
std::cout << "Running Dijkstra's with d-ary heap (d=4)...";
std::cout.flush();
t.start();
dijkstra_shortest_paths(g, vertex(0, g),
distance_map(boost::make_iterator_property_map(
relaxed_heap_distances.begin(), get(boost::vertex_index, g))));
boost::timer::cpu_times relaxed_heap_time = t.elapsed();
std::cout << boost::timer::format(relaxed_heap_time) << " seconds.\n"
<< "Speedup = " << (binary_heap_time.user / relaxed_heap_time.user)
<< ".\n";
// Verify that the results are equivalent
BOOST_TEST(binary_heap_distances == relaxed_heap_distances);
// Run Michael's no-color-map version
std::cout << "Running Dijkstra's (no color map) with d-ary heap (d=4)...";
std::cout.flush();
t.start();
dijkstra_shortest_paths_no_color_map(g, vertex(0, g),
boost::dummy_property_map(),
boost::make_iterator_property_map(
no_color_map_distances.begin(), 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()));
boost::timer::cpu_times no_color_map_time = t.elapsed();
std::cout << boost::timer::format(no_color_map_time) << " seconds.\n"
<< "Speedup = " << (binary_heap_time.user / no_color_map_time.user)
<< ".\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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