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// -*- c++ -*-
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#include <iostream>
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#include <fstream>
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#include <vector>
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#include <cstdlib>
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#include <LEDA/graph.h>
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#include <LEDA/mcb_matching.h>
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#include <LEDA/list.h>
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#include <LEDA/graph_gen.h>
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#include <leda_graph_wrapper.h>
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#include <list_graph.h>
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//#include <smart_graph.h>
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//#include <dimacs.h>
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#include <time_measure.h>
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#include <for_each_macros.h>
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//#include <bfs_iterator.h>
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#include <graph_wrapper.h>
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#include <maps.h>
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#include <edmonds_karp.h>
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#include <preflow.h>
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/**
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* Inicializalja a veletlenszamgeneratort.
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* Figyelem, ez nem jo igazi random szamokhoz,
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* erre ne bizzad a titkaidat!
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*/
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void random_init()
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{
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unsigned int seed = getpid();
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seed |= seed << 15;
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seed ^= time(0);
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srand(seed);
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}
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/**
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* Egy veletlen int-et ad vissza 0 es m-1 kozott.
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*/
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int random(int m)
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{
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return int( double(m) * rand() / (RAND_MAX + 1.0) );
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}
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using namespace hugo;
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int main() {
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//for leda graph
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leda::graph lg;
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//lg.make_undirected();
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typedef LedaGraphWrapper<leda::graph> Graph;
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Graph g(lg);
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//for UndirListGraph
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//typedef UndirListGraph Graph;
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//Graph g;
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typedef Graph::Node Node;
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typedef Graph::NodeIt NodeIt;
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typedef Graph::Edge Edge;
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typedef Graph::EdgeIt EdgeIt;
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typedef Graph::OutEdgeIt OutEdgeIt;
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std::vector<Graph::Node> s_nodes;
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std::vector<Graph::Node> t_nodes;
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int a;
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std::cout << "number of nodes in the first color class=";
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std::cin >> a;
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int b;
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std::cout << "number of nodes in the second color class=";
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std::cin >> b;
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int m;
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std::cout << "number of edges=";
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std::cin >> m;
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int k;
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std::cout << "A bipartite graph is a random group graph if the color classes \nA and B are partitiones to A_0, A_1, ..., A_{k-1} and B_0, B_1, ..., B_{k-1} \nas equally as possible \nand the edges from A_i goes to A_{i-1 mod k} and A_{i+1 mod k}.\n";
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std::cout << "number of groups in LEDA random group graph=";
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std::cin >> k;
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leda_list<leda_node> lS;
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leda_list<leda_node> lT;
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random_bigraph(lg, a, b, m, lS, lT, k);
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// for (int i=0; i<a; ++i) s_nodes.push_back(g.addNode());
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// for (int i=0; i<b; ++i) t_nodes.push_back(g.addNode());
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// random_init();
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// for(int i=0; i<m; ++i) {
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// g.addEdge(s_nodes[random(a)], t_nodes[random(b)]);
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// }
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Graph::NodeMap<int> ref_map(g, -1);
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IterableBoolMap< Graph::NodeMap<int> > bipartite_map(ref_map);
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// for (int i=0; i<a; ++i) bipartite_map.insert(s_nodes[i], false);
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// for (int i=0; i<b; ++i) bipartite_map.insert(t_nodes[i], true);
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leda_node ln;
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forall(ln, lS) bipartite_map.insert(ln, false);
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forall(ln, lT) bipartite_map.insert(ln, true);
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typedef BipartiteGraphWrapper<Graph> BGW;
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BGW bgw(g, bipartite_map);
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// BGW::NodeMap<int> dbyj(bgw);
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// BGW::EdgeMap<int> dbyxcj(bgw);
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typedef stGraphWrapper<BGW> stGW;
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stGW stgw(bgw);
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ConstMap<stGW::Edge, int> const1map(1);
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stGW::EdgeMap<int> flow(stgw);
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Timer ts;
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FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
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ts.reset();
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// stGW::EdgeMap<int> pre_flow(stgw);
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Preflow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> >
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pre_flow_test(stgw, stgw.S_NODE, stgw.T_NODE, const1map, flow, true);
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pre_flow_test.run();
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std::cout << "HUGO pre flow value: " << pre_flow_test.flowValue() << std::endl;
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std::cout << "elapsed time: " << ts << std::endl;
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// FOR_EACH_LOC(stGW::EdgeIt, e, stgw) {
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// std::cout << e << ": " << pre_flow[e] << "\n";
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// }
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std::cout << "\n";
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ts.reset();
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leda_list<leda_edge> ml=MAX_CARD_BIPARTITE_MATCHING(lg);
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// stGW::EdgeMap<int> pre_flow(stgw);
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//Preflow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> >
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// pre_flow_test(stgw, stgw.S_NODE, stgw.T_NODE, const1map, pre_flow, true);
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//pre_flow_test.run();
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std::cout << "LEDA matching value: " << ml.size() << std::endl;
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std::cout << "elapsed time: " << ts << std::endl;
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// FOR_EACH_LOC(stGW::EdgeIt, e, stgw) {
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// std::cout << e << ": " << pre_flow[e] << "\n";
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// }
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std::cout << "\n";
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FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
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ts.reset();
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MaxFlow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> >
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max_flow_test(stgw, stgw.S_NODE, stgw.T_NODE, const1map, flow);
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// while (max_flow_test.augmentOnShortestPath()) { }
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typedef ListGraph MutableGraph;
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// while (max_flow_test.augmentOnBlockingFlow1<MutableGraph>()) {
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while (max_flow_test.augmentOnBlockingFlow2()) {
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std::cout << max_flow_test.flowValue() << std::endl;
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}
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std::cout << "HUGO blocking flow value: " << max_flow_test.flowValue() << std::endl;
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std::cout << "elapsed time: " << ts << std::endl;
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// FOR_EACH_LOC(stGW::EdgeIt, e, stgw) {
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// std::cout << e << ": " << max_flow[e] << "\n";
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// }
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// std::cout << "\n";
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return 0;
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}
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