src/work/marci/leda/bipartite_matching_leda_gen.cc
changeset 1365 c280de819a73
parent 1364 ee5959aa4410
child 1366 d00b85f8be45
     1.1 --- a/src/work/marci/leda/bipartite_matching_leda_gen.cc	Sun Apr 17 18:57:22 2005 +0000
     1.2 +++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.3 @@ -1,138 +0,0 @@
     1.4 -// -*- c++ -*-
     1.5 -#include <iostream>
     1.6 -#include <fstream>
     1.7 -#include <vector>
     1.8 -#include <cstdlib>
     1.9 -
    1.10 -#include <LEDA/graph.h>
    1.11 -#include <LEDA/mcb_matching.h>
    1.12 -#include <LEDA/list.h>
    1.13 -#include <LEDA/graph_gen.h>
    1.14 -
    1.15 -#include <leda_graph_wrapper.h>
    1.16 -#include <sage_graph.h>
    1.17 -//#include <smart_graph.h>
    1.18 -//#include <dimacs.h>
    1.19 -#include <lemon/time_measure.h>
    1.20 -#include <for_each_macros.h>
    1.21 -#include <lemon/graph_wrapper.h>
    1.22 -#include <bipartite_graph_wrapper.h>
    1.23 -#include <lemon/maps.h>
    1.24 -#include <lemon/max_flow.h>
    1.25 -#include <augmenting_flow.h>
    1.26 -
    1.27 -/**
    1.28 - * Inicializalja a veletlenszamgeneratort.
    1.29 - * Figyelem, ez nem jo igazi random szamokhoz,
    1.30 - * erre ne bizzad a titkaidat!
    1.31 - */
    1.32 -void random_init()
    1.33 -{
    1.34 -	unsigned int seed = getpid();
    1.35 -	seed |= seed << 15;
    1.36 -	seed ^= time(0);
    1.37 -
    1.38 -	srand(seed);
    1.39 -}
    1.40 -
    1.41 -/**
    1.42 - * Egy veletlen int-et ad vissza 0 es m-1 kozott.
    1.43 - */
    1.44 -int random(int m)
    1.45 -{
    1.46 -  return int( double(m) * rand() / (RAND_MAX + 1.0) );
    1.47 -}
    1.48 -
    1.49 -using namespace lemon;
    1.50 -
    1.51 -int main() {
    1.52 -  //for leda graph
    1.53 -  leda::graph lg;
    1.54 -  //lg.make_undirected();
    1.55 -  typedef LedaGraphWrapper<leda::graph> Graph;
    1.56 -  Graph g(lg);
    1.57 -
    1.58 -  //for UndirSageGraph
    1.59 -  //typedef UndirSageGraph Graph; 
    1.60 -  //Graph g;
    1.61 -
    1.62 -  typedef Graph::Node Node;
    1.63 -  typedef Graph::NodeIt NodeIt;
    1.64 -  typedef Graph::Edge Edge;
    1.65 -  typedef Graph::EdgeIt EdgeIt;
    1.66 -  typedef Graph::OutEdgeIt OutEdgeIt;
    1.67 -
    1.68 -  std::vector<Graph::Node> s_nodes;
    1.69 -  std::vector<Graph::Node> t_nodes;
    1.70 -
    1.71 -  int a;
    1.72 -  std::cout << "number of nodes in the first color class=";
    1.73 -  std::cin >> a; 
    1.74 -  int b;
    1.75 -  std::cout << "number of nodes in the second color class=";
    1.76 -  std::cin >> b; 
    1.77 -  int m;
    1.78 -  std::cout << "number of edges=";
    1.79 -  std::cin >> m; 
    1.80 -  int k;
    1.81 -  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";
    1.82 -  std::cout << "number of groups in LEDA random group graph=";
    1.83 -  std::cin >> k; 
    1.84 -  std::cout << std::endl;
    1.85 -  
    1.86 -  leda_list<leda_node> lS;
    1.87 -  leda_list<leda_node> lT;
    1.88 -  random_bigraph(lg, a, b, m, lS, lT, k);
    1.89 -
    1.90 -  Graph::NodeMap<int> ref_map(g, -1);
    1.91 -  IterableBoolMap< Graph::NodeMap<int> > bipartite_map(ref_map);
    1.92 -
    1.93 -  //generating leda random group graph
    1.94 -  leda_node ln;
    1.95 -  forall(ln, lS) bipartite_map.insert(ln, false);
    1.96 -  forall(ln, lT) bipartite_map.insert(ln, true);
    1.97 -
    1.98 -  //making bipartite graph
    1.99 -  typedef BipartiteGraphWrapper<Graph> BGW;
   1.100 -  BGW bgw(g, bipartite_map);
   1.101 -
   1.102 -
   1.103 -  //st-wrapper
   1.104 -  typedef stBipartiteGraphWrapper<BGW> stGW;
   1.105 -  stGW stgw(bgw);
   1.106 -  ConstMap<stGW::Edge, int> const1map(1);
   1.107 -  stGW::EdgeMap<int> flow(stgw);
   1.108 -
   1.109 -  Timer ts;
   1.110 -
   1.111 -  ts.reset();
   1.112 -  FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
   1.113 -  MaxFlow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> > 
   1.114 -    max_flow_test(stgw, stgw.S_NODE, stgw.T_NODE, const1map, flow/*, true*/);
   1.115 -  max_flow_test.run();
   1.116 -  std::cout << "LEMON max matching algorithm based on preflow." << std::endl 
   1.117 -	    << "Size of matching: " 
   1.118 -	    << max_flow_test.flowValue() << std::endl;
   1.119 -  std::cout << "elapsed time: " << ts << std::endl << std::endl;
   1.120 -
   1.121 -  ts.reset();  
   1.122 -  leda_list<leda_edge> ml=MAX_CARD_BIPARTITE_MATCHING(lg);
   1.123 -  std::cout << "LEDA max matching algorithm." << std::endl 
   1.124 -	    << "Size of matching: " 
   1.125 -	    << ml.size() << std::endl;
   1.126 -  std::cout << "elapsed time: " << ts << std::endl;
   1.127 -  std::cout << "\n";
   1.128 -
   1.129 -  ts.reset();
   1.130 -  FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
   1.131 -  typedef SageGraph MutableGraph;
   1.132 -  AugmentingFlow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> > 
   1.133 -    max_flow_test_1(stgw, stgw.S_NODE, stgw.T_NODE, const1map, flow/*, true*/);
   1.134 -  while (max_flow_test_1.augmentOnBlockingFlow<MutableGraph>()) { }
   1.135 -  std::cout << "LEMON max matching algorithm based on blocking flow augmentation." 
   1.136 -	    << std::endl << "Matching size: " 
   1.137 -	    << max_flow_test_1.flowValue() << std::endl;
   1.138 -  std::cout << "elapsed time: " << ts << std::endl;
   1.139 -
   1.140 -  return 0;
   1.141 -}