/* -*- mode: C++; indent-tabs-mode: nil; -*-

  *

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

  *

  * Copyright (C) 2003-2013

  * 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 <lemon/full_graph.h>

 #include <lemon/math.h>

 #include <lemon/maps.h>

 #include <lemon/random.h>

 #include <lemon/dim2.h>

 #include <lemon/nearest_neighbor_tsp.h>

 #include <lemon/greedy_tsp.h>

 #include <lemon/insertion_tsp.h>

 #include <lemon/christofides_tsp.h>

 #include <lemon/opt2_tsp.h>

 #include "test_tools.h"

 using namespace lemon;

 // // Tests checkMetricCost() function

 // void metricCostTest() {

 //   GRAPH_TYPEDEFS(FullGraph);

 //   FullGraph g(10);

 //   check(checkMetricCost(g, constMap<Edge>(0)), "Wrong checkMetricCost()");

 //   check(checkMetricCost(g, constMap<Edge>(1)), "Wrong checkMetricCost()");

 //   check(!checkMetricCost(g, constMap<Edge>(-1)), "Wrong checkMetricCost()");

 //

 //   FullGraph::EdgeMap<float> cost(g);

 //   for (NodeIt u(g); u != INVALID; ++u) {

 //     for (NodeIt v(g); v != INVALID; ++v) {

 //       if (u == v) continue;

 //       float x1 = g.id(u), x2 = g.id(v);

 //       float y1 = x1 * x1, y2 = x2 * x2;

 //       cost[g.edge(u, v)] = std::sqrt((x2-x1)*(x2-x1) + (y2-y1)*(y2-y1));

 //     }

 //   }

 //   check(checkMetricCost(g, cost), "Wrong checkMetricCost()");

 //   float eps = Tolerance<float>::defaultEpsilon();

 //   cost[g.edge(g(0), g(9))] =

 //     cost[g.edge(g(0), g(8))] + cost[g.edge(g(8), g(9))] + eps * 2;

 //   check(!checkMetricCost(g, cost), "Wrong checkMetricCost()");

 //   check(checkMetricCost(g, cost, Tolerance<float>(eps * 4)),

 //     "Wrong checkMetricCost()");

 // }

 // Checks tour validity

 template <typename Container>

 bool checkTour(const FullGraph &gr, const Container &p) {

   FullGraph::NodeMap<bool> used(gr, false);

   int node_cnt = 0;

   for (typename Container::const_iterator it = p.begin(); it != p.end(); ++it)

     {

       FullGraph::Node node = *it;

       if (used[node]) return false;

       used[node] = true;

       ++node_cnt;

     }

   return (node_cnt == gr.nodeNum());

 }

 // Checks tour validity

 bool checkTourPath(const FullGraph &gr, const Path<FullGraph> &p) {

   FullGraph::NodeMap<bool> used(gr, false);

   if (!checkPath(gr, p)) return false;

   if (gr.nodeNum() <= 1 && p.length() != 0) return false;

   if (gr.nodeNum() > 1 && p.length() != gr.nodeNum()) return false;

   for (int i = 0; i < p.length(); ++i) {

     if (used[gr.target(p.nth(i))]) return false;

     used[gr.target(p.nth(i))] = true;

   }

   return true;

 }

 // Checks tour cost

 template <typename CostMap>

 bool checkCost(const FullGraph &gr, const std::vector<FullGraph::Node> &p,

                const CostMap &cost, typename CostMap::Value total)

 {

   typedef typename CostMap::Value Cost;

   Cost s = 0;

   for (int i = 0; i < int(p.size()) - 1; ++i)

     s += cost[gr.edge(p[i], p[i+1])];

   if (int(p.size()) >= 2)

     s += cost[gr.edge(p.back(), p.front())];

   return !Tolerance<Cost>().different(s, total);

 }

 // Checks tour cost

 template <typename CostMap>

 bool checkCost(const FullGraph &, const Path<FullGraph> &p,

                const CostMap &cost, typename CostMap::Value total)

 {

   typedef typename CostMap::Value Cost;

   Cost s = 0;

   for (int i = 0; i < p.length(); ++i)

     s += cost[p.nth(i)];

   return !Tolerance<Cost>().different(s, total);

 }

 // Tests a TSP algorithm on small graphs

 template <typename TSP>

 void tspTestSmall(const std::string &alg_name) {

   GRAPH_TYPEDEFS(FullGraph);

   for (int n = 0; n <= 5; ++n) {

     FullGraph g(n);

     unsigned nsize = n;

     int esize = n <= 1 ? 0 : n;

     TSP alg(g, constMap<Edge, int>(1));

     check(alg.run() == esize, alg_name + ": Wrong total cost");

     check(alg.tourCost() == esize, alg_name + ": Wrong total cost");

     std::list<Node> list1(nsize), list2;

     std::vector<Node> vec1(nsize), vec2;

     alg.tourNodes(list1.begin());

     alg.tourNodes(vec1.begin());

     alg.tourNodes(std::front_inserter(list2));

     alg.tourNodes(std::back_inserter(vec2));

     check(checkTour(g, alg.tourNodes()), alg_name + ": Wrong node sequence");

     check(checkTour(g, list1), alg_name + ": Wrong node sequence");

     check(checkTour(g, vec1), alg_name + ": Wrong node sequence");

     check(checkTour(g, list2), alg_name + ": Wrong node sequence");

     check(checkTour(g, vec2), alg_name + ": Wrong node sequence");

     check(checkCost(g, vec1, constMap<Edge, int>(1), esize),

       alg_name + ": Wrong tour cost");

     SimplePath<FullGraph> path;

     alg.tour(path);

     check(path.length() == esize, alg_name + ": Wrong tour");

     check(checkTourPath(g, path), alg_name + ": Wrong tour");

     check(checkCost(g, path, constMap<Edge, int>(1), esize),

       alg_name + ": Wrong tour cost");

   }

 }

 // Tests a TSP algorithm on random graphs

 template <typename TSP>

 void tspTestRandom(const std::string &alg_name) {

   GRAPH_TYPEDEFS(FullGraph);

   FullGraph g(20);

   FullGraph::NodeMap<dim2::Point<double> > pos(g);

   DoubleEdgeMap cost(g);

   TSP alg(g, cost);

   Opt2Tsp<DoubleEdgeMap > opt2(g, cost);

   for (int i = 1; i <= 3; i++) {

     for (NodeIt u(g); u != INVALID; ++u) {

       pos[u] = dim2::Point<double>(rnd(), rnd());

     }

     for (NodeIt u(g); u != INVALID; ++u) {

       for (NodeIt v(g); v != INVALID; ++v) {

         if (u == v) continue;

         cost[g.edge(u, v)] = (pos[u] - pos[v]).normSquare();

       }

     }

     check(alg.run() > 0, alg_name + ": Wrong total cost");

     std::vector<Node> vec;

     alg.tourNodes(std::back_inserter(vec));

     check(checkTour(g, vec), alg_name + ": Wrong node sequence");

     check(checkCost(g, vec, cost, alg.tourCost()),

       alg_name + ": Wrong tour cost");

     SimplePath<FullGraph> path;

     alg.tour(path);

     check(checkTourPath(g, path), alg_name + ": Wrong tour");

     check(checkCost(g, path, cost, alg.tourCost()),

       alg_name + ": Wrong tour cost");

     check(!Tolerance<double>().less(alg.tourCost(), opt2.run(alg.tourNodes())),

       "2-opt improvement: Wrong total cost");

     check(checkTour(g, opt2.tourNodes()),

       "2-opt improvement: Wrong node sequence");

     check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()),

       "2-opt improvement: Wrong tour cost");

     check(!Tolerance<double>().less(alg.tourCost(), opt2.run(path)),

       "2-opt improvement: Wrong total cost");

     check(checkTour(g, opt2.tourNodes()),

       "2-opt improvement: Wrong node sequence");

     check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()),

       "2-opt improvement: Wrong tour cost");

   }

 }

 // Algorithm class for Nearest Insertion

 template <typename CM>

 class NearestInsertionTsp : public InsertionTsp<CM> {

 public:

   NearestInsertionTsp(const FullGraph &gr, const CM &cost)

     : InsertionTsp<CM>(gr, cost) {}

   typename CM::Value run() {

     return InsertionTsp<CM>::run(InsertionTsp<CM>::NEAREST);

   }

 };

 // Algorithm class for Farthest Insertion

 template <typename CM>

 class FarthestInsertionTsp : public InsertionTsp<CM> {

 public:

   FarthestInsertionTsp(const FullGraph &gr, const CM &cost)

     : InsertionTsp<CM>(gr, cost) {}

   typename CM::Value run() {

     return InsertionTsp<CM>::run(InsertionTsp<CM>::FARTHEST);

   }

 };

 // Algorithm class for Cheapest Insertion

 template <typename CM>

 class CheapestInsertionTsp : public InsertionTsp<CM> {

 public:

   CheapestInsertionTsp(const FullGraph &gr, const CM &cost)

     : InsertionTsp<CM>(gr, cost) {}

   typename CM::Value run() {

     return InsertionTsp<CM>::run(InsertionTsp<CM>::CHEAPEST);

   }

 };

 // Algorithm class for Random Insertion

 template <typename CM>

 class RandomInsertionTsp : public InsertionTsp<CM> {

 public:

   RandomInsertionTsp(const FullGraph &gr, const CM &cost)

     : InsertionTsp<CM>(gr, cost) {}

   typename CM::Value run() {

     return InsertionTsp<CM>::run(InsertionTsp<CM>::RANDOM);

   }

 };

 int main() {

   GRAPH_TYPEDEFS(FullGraph);

   // metricCostTest();

   tspTestSmall<NearestNeighborTsp<ConstMap<Edge, int> > >("Nearest Neighbor");

   tspTestSmall<GreedyTsp<ConstMap<Edge, int> > >("Greedy");

   tspTestSmall<NearestInsertionTsp<ConstMap<Edge, int> > >("Nearest Insertion");

   tspTestSmall<FarthestInsertionTsp<ConstMap<Edge, int> > >

     ("Farthest Insertion");

   tspTestSmall<CheapestInsertionTsp<ConstMap<Edge, int> > >

     ("Cheapest Insertion");

   tspTestSmall<RandomInsertionTsp<ConstMap<Edge, int> > >("Random Insertion");

   tspTestSmall<ChristofidesTsp<ConstMap<Edge, int> > >("Christofides");

   tspTestSmall<Opt2Tsp<ConstMap<Edge, int> > >("2-opt");

   tspTestRandom<NearestNeighborTsp<DoubleEdgeMap > >("Nearest Neighbor");

   tspTestRandom<GreedyTsp<DoubleEdgeMap > >("Greedy");

   tspTestRandom<NearestInsertionTsp<DoubleEdgeMap > >("Nearest Insertion");

   tspTestRandom<FarthestInsertionTsp<DoubleEdgeMap > >("Farthest Insertion");

   tspTestRandom<CheapestInsertionTsp<DoubleEdgeMap > >("Cheapest Insertion");

   tspTestRandom<RandomInsertionTsp<DoubleEdgeMap > >("Random Insertion");

   tspTestRandom<ChristofidesTsp<DoubleEdgeMap > >("Christofides");

   tspTestRandom<Opt2Tsp<DoubleEdgeMap > >("2-opt");

   return 0;

 }