test/kruskal_test.cc
author kpeter
Thu, 13 Nov 2008 15:29:04 +0000
changeset 2629 84354c78b068
parent 2424 95cd24940d00
permissions -rw-r--r--
Improved constructors for min cost flow classes
Removing the non-zero lower bounds is faster
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/* -*- C++ -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2003-2008
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#include <iostream>
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#include <vector>
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#include "test_tools.h"
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#include <lemon/maps.h>
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#include <lemon/kruskal.h>
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#include <lemon/list_graph.h>
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#include <lemon/concepts/maps.h>
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#include <lemon/concepts/graph.h>
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#include <lemon/concepts/ugraph.h>
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using namespace std;
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using namespace lemon;
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void checkCompileKruskal()
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{
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  concepts::WriteMap<concepts::Graph::Edge,bool> w;
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  concepts::WriteMap<concepts::UGraph::UEdge,bool> uw;
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  concepts::ReadMap<concepts::Graph::Edge,int> r;
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  concepts::ReadMap<concepts::UGraph::UEdge,int> ur;
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  concepts::Graph g;
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  concepts::UGraph ug;
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  kruskal(g, r, w);
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  kruskal(ug, ur, uw);
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  std::vector<std::pair<concepts::Graph::Edge, int> > rs;
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  std::vector<std::pair<concepts::UGraph::UEdge, int> > urs;
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  kruskal(g, rs, w);
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  kruskal(ug, urs, uw);
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  std::vector<concepts::Graph::Edge> ws;
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  std::vector<concepts::UGraph::UEdge> uws;
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  kruskal(g, r, ws.begin());
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  kruskal(ug, ur, uws.begin());
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  Kruskal<concepts::UGraph,concepts::ReadMap<concepts::UGraph::UEdge,int> >
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    alg(ug, ur);
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  alg.init();
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  alg.initPresorted(uws.begin(), uws.end());
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  alg.reinit();
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  alg.emptyQueue();
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  alg.nextEdge();
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  alg.processNextEdge();
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  alg.processEdge(concepts::UGraph::UEdge());
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  alg.run();
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  alg.treeMap();
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  alg.tree(concepts::UGraph::UEdge());
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}
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int main() {
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  typedef ListUGraph::Node Node;
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  typedef ListUGraph::UEdge UEdge;
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  typedef ListUGraph::NodeIt NodeIt;
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  typedef ListUGraph::EdgeIt EdgeIt;
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  ListUGraph G;
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  Node s=G.addNode();
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  Node v1=G.addNode();
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  Node v2=G.addNode();
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  Node v3=G.addNode();
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  Node v4=G.addNode();
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  Node t=G.addNode();
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  UEdge e1 = G.addEdge(s, v1);
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  UEdge e2 = G.addEdge(s, v2);
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  UEdge e3 = G.addEdge(v1, v2);
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  UEdge e4 = G.addEdge(v2, v1);
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  UEdge e5 = G.addEdge(v1, v3);
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  UEdge e6 = G.addEdge(v3, v2);
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  UEdge e7 = G.addEdge(v2, v4);
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  UEdge e8 = G.addEdge(v4, v3);
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  UEdge e9 = G.addEdge(v3, t);
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  UEdge e10 = G.addEdge(v4, t);
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  typedef ListUGraph::UEdgeMap<int> ECostMap;
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  typedef ListUGraph::UEdgeMap<bool> EBoolMap;
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  ECostMap edge_cost_map(G, 2);
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  EBoolMap tree_map(G);
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  //Test with const map.
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  check(kruskal(G, ConstMap<ListUGraph::UEdge,int>(2), tree_map)==10,
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	"Total cost should be 10");
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  //Test with a edge map (filled with uniform costs).
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  check(kruskal(G, edge_cost_map, tree_map)==10,
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	"Total cost should be 10");
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  edge_cost_map.set(e1, -10);
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  edge_cost_map.set(e2, -9);
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  edge_cost_map.set(e3, -8);
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  edge_cost_map.set(e4, -7);
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  edge_cost_map.set(e5, -6);
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  edge_cost_map.set(e6, -5);
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  edge_cost_map.set(e7, -4);
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  edge_cost_map.set(e8, -3);
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  edge_cost_map.set(e9, -2);
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  edge_cost_map.set(e10, -1);
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  vector<UEdge> tree_edge_vec(5);
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  //Test with a edge map and inserter.
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  check(kruskal(G, edge_cost_map,
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		 tree_edge_vec.begin())
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	==-31,
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	"Total cost should be -31.");
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  tree_edge_vec.clear();
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  check(kruskal(G, edge_cost_map,
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		back_inserter(tree_edge_vec))
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	==-31,
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	"Total cost should be -31.");
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//   tree_edge_vec.clear();
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//   //The above test could also be coded like this:
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//   check(kruskal(G,
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// 		makeKruskalMapInput(G, edge_cost_map),
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// 		makeKruskalSequenceOutput(back_inserter(tree_edge_vec)))
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// 	==-31,
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// 	"Total cost should be -31.");
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  check(tree_edge_vec.size()==5,"The tree should have 5 edges.");
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  check(tree_edge_vec[0]==e1 &&
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	tree_edge_vec[1]==e2 &&
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	tree_edge_vec[2]==e5 &&
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	tree_edge_vec[3]==e7 &&
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	tree_edge_vec[4]==e9,
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	"Wrong tree.");
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  Kruskal<ListUGraph, ECostMap> ka(G, edge_cost_map);
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  ka.run();
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  check(ka.tree(e1) && 
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        ka.tree(e2) &&
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        ka.tree(e5) &&
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        ka.tree(e7) &&
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        ka.tree(e9),
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        "Wrong tree.");
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  check(ka.treeValue() == -31,
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	"Total cost should be -31.");
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  return 0;
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}