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+// Copyright (c) 2006, Stephan Diederich
+//
+// This code may be used under either of the following two licences:
+//
+// Permission is hereby granted, free of charge, to any person
+// obtaining a copy of this software and associated documentation
+// files (the "Software"), to deal in the Software without
+// restriction, including without limitation the rights to use,
+// copy, modify, merge, publish, distribute, sublicense, and/or
+// sell copies of the Software, and to permit persons to whom the
+// Software is furnished to do so, subject to the following
+// conditions:
+//
+// The above copyright notice and this permission notice shall be
+// included in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+// OTHER DEALINGS IN THE SOFTWARE. OF SUCH DAMAGE.
+//
+// Or:
+//
+// Distributed under 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)
+
+#include <vector>
+#include <iterator>
+#include <iostream>
+#include <algorithm>
+#include <fstream>
+
+#include <boost/test/minimal.hpp>
+//three max_flows we test here
+#include <boost/graph/boykov_kolmogorov_max_flow.hpp>
+#include <boost/graph/push_relabel_max_flow.hpp>
+#include <boost/graph/edmonds_karp_max_flow.hpp>
+//boost utilities we use
+#include <boost/graph/adjacency_list.hpp>
+#include <boost/graph/random.hpp>
+#include <boost/property_map/property_map.hpp>
+#include <boost/random/linear_congruential.hpp>
+#include <boost/lexical_cast.hpp>
+
+/***************
+* test which compares results of the three different max_flow implementations
+* command line parameters:
+* number_of_vertices: defaults to 100
+* number_of_edges: defaults to 1000
+* seeed: defaults to 1
+***************/
+
+using namespace boost;
+
+int test_main(int argc, char* argv[])
+{
+
+ typedef adjacency_list_traits < vecS, vecS, directedS > Traits;
+ typedef adjacency_list < vecS, vecS, directedS,
+ property < vertex_index_t, long,
+ property < vertex_color_t, boost::default_color_type,
+ property < vertex_distance_t, long,
+ property < vertex_predecessor_t, Traits::edge_descriptor > > > >,
+ property < edge_capacity_t, long,
+ property < edge_residual_capacity_t, long,
+ property < edge_reverse_t, Traits::edge_descriptor > > > > Graph;
+
+ typedef graph_traits<Graph>::edge_descriptor tEdge;
+ typedef graph_traits<Graph>::vertex_descriptor tVertex;
+
+ graph_traits<Graph>::vertices_size_type n_verts = 100;
+ graph_traits<Graph>::edges_size_type n_edges = 1000;
+ std::size_t seed = 1;
+
+ if (argc > 1) n_verts = lexical_cast<std::size_t>(argv[1]);
+ if (argc > 2) n_edges = lexical_cast<std::size_t>(argv[2]);
+ if (argc > 3) seed = lexical_cast<std::size_t>(argv[3]);
+
+ Graph g;
+ const int cap_low = 1;
+ const int cap_high = 1000;
+
+ //init random numer generator
+ minstd_rand gen(seed);
+ //generate graph
+ generate_random_graph(g, n_verts, n_edges, gen);
+
+ //init an uniform distribution int generator
+ typedef variate_generator<minstd_rand, uniform_int<int> > tIntGen;
+ tIntGen int_gen(gen, uniform_int<int>(cap_low, cap_high));
+ //init edge-capacities
+ randomize_property<edge_capacity_t, Graph, tIntGen> (g,int_gen);
+
+ //get source and sink node
+ tVertex source_vertex = random_vertex(g, gen);
+ tVertex sink_vertex = graph_traits<Graph>::null_vertex();
+ while(sink_vertex == graph_traits<Graph>::null_vertex() || sink_vertex == source_vertex)
+ sink_vertex = random_vertex(g, gen);
+
+ //add reverse edges (ugly... how to do better?!)
+ property_map < Graph, edge_reverse_t >::type rev = get(edge_reverse, g);
+ property_map < Graph, edge_capacity_t >::type cap = get(edge_capacity, g);
+ std::list<tEdge> edges_copy;
+ graph_traits<Graph>::edge_iterator ei, e_end;
+ boost::tie(ei, e_end) = edges(g);
+ std::copy(ei, e_end, std::back_insert_iterator< std::list<tEdge> >(edges_copy));
+ while( ! edges_copy.empty()){
+ tEdge old_edge=edges_copy.front();
+ edges_copy.pop_front();
+ tVertex source_vertex = target(old_edge, g);
+ tVertex target_vertex = source(old_edge, g);
+ bool inserted;
+ tEdge new_edge;
+ boost::tie(new_edge,inserted) = add_edge(source_vertex, target_vertex, g);
+ assert(inserted);
+ rev[old_edge] = new_edge;
+ rev[new_edge] = old_edge ;
+ cap[new_edge] = 0;
+ }
+
+ typedef property_traits< property_map<Graph, edge_capacity_t>::const_type>::value_type tEdgeVal;
+
+ tEdgeVal bk = boykov_kolmogorov_max_flow(g,source_vertex,sink_vertex);
+ tEdgeVal push_relabel = push_relabel_max_flow(g,source_vertex,sink_vertex);
+ tEdgeVal edmonds_karp = edmonds_karp_max_flow(g,source_vertex,sink_vertex);
+
+ BOOST_REQUIRE( bk == push_relabel );
+ BOOST_REQUIRE( push_relabel == edmonds_karp );
+
+ return 0;
+}