/* -*- C++ -*-

 *

 * This file is a part of LEMON, a generic C++ optimization library

 *

 * Copyright (C) 2003-2008

 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport

 * (Egervary Research Group on Combinatorial Optimization, EGRES).

 *

 * Permission to use, modify and distribute this software is granted

 * provided that this copyright notice appears in all copies. For

 * precise terms see the accompanying LICENSE file.

 *

 * This software is provided "AS IS" with no warranty of any kind,

 * express or implied, and with no claim as to its suitability for any

 * purpose.

 *

 */

#include <iostream>

#include <vector>

#include "test_tools.h"

#include <lemon/maps.h>

#include <lemon/kruskal.h>

#include <lemon/list_graph.h>

#include <lemon/concepts/maps.h>

#include <lemon/concepts/graph.h>

#include <lemon/concepts/ugraph.h>

using namespace std;

using namespace lemon;

void checkCompileKruskal()

{

  concepts::WriteMap<concepts::Graph::Edge,bool> w;

  concepts::WriteMap<concepts::UGraph::UEdge,bool> uw;

  concepts::ReadMap<concepts::Graph::Edge,int> r;

  concepts::ReadMap<concepts::UGraph::UEdge,int> ur;

  concepts::Graph g;

  concepts::UGraph ug;

  kruskal(g, r, w);

  kruskal(ug, ur, uw);

  std::vector<std::pair<concepts::Graph::Edge, int> > rs;

  std::vector<std::pair<concepts::UGraph::UEdge, int> > urs;

  kruskal(g, rs, w);

  kruskal(ug, urs, uw);

  std::vector<concepts::Graph::Edge> ws;

  std::vector<concepts::UGraph::UEdge> uws;

  kruskal(g, r, ws.begin());

  kruskal(ug, ur, uws.begin());

  Kruskal<concepts::UGraph,concepts::ReadMap<concepts::UGraph::UEdge,int> >

    alg(ug, ur);

  alg.init();

  alg.initPresorted(uws.begin(), uws.end());

  alg.reinit();

  alg.emptyQueue();

  alg.nextEdge();

  alg.processNextEdge();

  alg.processEdge(concepts::UGraph::UEdge());

  alg.run();

  alg.treeMap();

  alg.tree(concepts::UGraph::UEdge());

}

int main() {

  typedef ListUGraph::Node Node;

  typedef ListUGraph::UEdge UEdge;

  typedef ListUGraph::NodeIt NodeIt;

  typedef ListUGraph::EdgeIt EdgeIt;

  ListUGraph G;

  Node s=G.addNode();

  Node v1=G.addNode();

  Node v2=G.addNode();

  Node v3=G.addNode();

  Node v4=G.addNode();

  Node t=G.addNode();

  UEdge e1 = G.addEdge(s, v1);

  UEdge e2 = G.addEdge(s, v2);

  UEdge e3 = G.addEdge(v1, v2);

  UEdge e4 = G.addEdge(v2, v1);

  UEdge e5 = G.addEdge(v1, v3);

  UEdge e6 = G.addEdge(v3, v2);

  UEdge e7 = G.addEdge(v2, v4);

  UEdge e8 = G.addEdge(v4, v3);

  UEdge e9 = G.addEdge(v3, t);

  UEdge e10 = G.addEdge(v4, t);

  typedef ListUGraph::UEdgeMap<int> ECostMap;

  typedef ListUGraph::UEdgeMap<bool> EBoolMap;

  ECostMap edge_cost_map(G, 2);

  EBoolMap tree_map(G);

  //Test with const map.

  check(kruskal(G, ConstMap<ListUGraph::UEdge,int>(2), tree_map)==10,

	"Total cost should be 10");

  //Test with a edge map (filled with uniform costs).

  check(kruskal(G, edge_cost_map, tree_map)==10,

	"Total cost should be 10");

  edge_cost_map.set(e1, -10);

  edge_cost_map.set(e2, -9);

  edge_cost_map.set(e3, -8);

  edge_cost_map.set(e4, -7);

  edge_cost_map.set(e5, -6);

  edge_cost_map.set(e6, -5);

  edge_cost_map.set(e7, -4);

  edge_cost_map.set(e8, -3);

  edge_cost_map.set(e9, -2);

  edge_cost_map.set(e10, -1);

  vector<UEdge> tree_edge_vec(5);

  //Test with a edge map and inserter.

  check(kruskal(G, edge_cost_map,

		 tree_edge_vec.begin())

	==-31,

	"Total cost should be -31.");

  tree_edge_vec.clear();

  check(kruskal(G, edge_cost_map,

		back_inserter(tree_edge_vec))

	==-31,

	"Total cost should be -31.");

//   tree_edge_vec.clear();

//   //The above test could also be coded like this:

//   check(kruskal(G,

// 		makeKruskalMapInput(G, edge_cost_map),

// 		makeKruskalSequenceOutput(back_inserter(tree_edge_vec)))

// 	==-31,

// 	"Total cost should be -31.");

  check(tree_edge_vec.size()==5,"The tree should have 5 edges.");

  check(tree_edge_vec[0]==e1 &&

	tree_edge_vec[1]==e2 &&

	tree_edge_vec[2]==e5 &&

	tree_edge_vec[3]==e7 &&

	tree_edge_vec[4]==e9,

	"Wrong tree.");

  Kruskal<ListUGraph, ECostMap> ka(G, edge_cost_map);

  ka.run();

  check(ka.tree(e1) && 

        ka.tree(e2) &&

        ka.tree(e5) &&

        ka.tree(e7) &&

        ka.tree(e9),

        "Wrong tree.");

  check(ka.treeValue() == -31,

	"Total cost should be -31.");

  return 0;

}