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/* -*- mode: C++; indent-tabs-mode: nil; -*-
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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) 2003-2010
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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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#ifndef LEMON_GREEDY_TSP_H
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#define LEMON_GREEDY_TSP_H
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/// \ingroup tsp
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/// \file
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/// \brief Greedy algorithm for symmetric TSP
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#include <vector>
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#include <algorithm>
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#include <lemon/full_graph.h>
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#include <lemon/unionfind.h>
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namespace lemon {
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/// \ingroup tsp
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///
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/// \brief Greedy algorithm for symmetric TSP.
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///
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/// GreedyTsp implements the greedy heuristic for solving
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/// symmetric \ref tsp "TSP".
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///
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/// This algorithm is quite similar to the \ref NearestNeighborTsp
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/// "nearest neighbor" heuristic, but it maintains a set of disjoint paths.
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/// At each step, the shortest possible edge is added to these paths
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/// as long as it does not create a cycle of less than n edges and it does
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/// not increase the degree of any node above two.
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///
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/// This method runs in O(n<sup>2</sup>) time.
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/// It quickly finds a relatively short tour for most TSP instances,
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/// but it could also yield a really bad (or even the worst) solution
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/// in special cases.
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///
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/// \tparam CM Type of the cost map.
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template <typename CM>
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class GreedyTsp
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{
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public:
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/// Type of the cost map
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typedef CM CostMap;
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/// Type of the edge costs
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typedef typename CM::Value Cost;
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private:
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GRAPH_TYPEDEFS(FullGraph);
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const FullGraph &_gr;
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const CostMap &_cost;
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Cost _sum;
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std::vector<Node> _path;
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private:
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// Functor class to compare edges by their costs
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class EdgeComp {
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private:
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const CostMap &_cost;
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public:
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EdgeComp(const CostMap &cost) : _cost(cost) {}
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bool operator()(const Edge &a, const Edge &b) const {
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return _cost[a] < _cost[b];
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}
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};
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public:
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/// \brief Constructor
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///
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/// Constructor.
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/// \param gr The \ref FullGraph "full graph" the algorithm runs on.
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/// \param cost The cost map.
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GreedyTsp(const FullGraph &gr, const CostMap &cost)
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: _gr(gr), _cost(cost) {}
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/// \name Execution Control
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/// @{
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/// \brief Runs the algorithm.
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///
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/// This function runs the algorithm.
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///
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/// \return The total cost of the found tour.
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Cost run() {
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_path.clear();
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if (_gr.nodeNum() == 0) return _sum = 0;
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else if (_gr.nodeNum() == 1) {
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_path.push_back(_gr(0));
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return _sum = 0;
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}
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std::vector<int> plist;
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plist.resize(_gr.nodeNum()*2, -1);
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std::vector<Edge> sorted_edges;
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sorted_edges.reserve(_gr.edgeNum());
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for (EdgeIt e(_gr); e != INVALID; ++e)
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sorted_edges.push_back(e);
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std::sort(sorted_edges.begin(), sorted_edges.end(), EdgeComp(_cost));
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FullGraph::NodeMap<int> item_int_map(_gr);
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UnionFind<FullGraph::NodeMap<int> > union_find(item_int_map);
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for (NodeIt n(_gr); n != INVALID; ++n)
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union_find.insert(n);
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FullGraph::NodeMap<int> degree(_gr, 0);
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int nodesNum = 0, i = 0;
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while (nodesNum != _gr.nodeNum()-1) {
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Edge e = sorted_edges[i++];
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Node u = _gr.u(e),
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v = _gr.v(e);
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if (degree[u] <= 1 && degree[v] <= 1) {
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if (union_find.join(u, v)) {
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const int uid = _gr.id(u),
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vid = _gr.id(v);
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plist[uid*2 + degree[u]] = vid;
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plist[vid*2 + degree[v]] = uid;
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++degree[u];
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++degree[v];
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++nodesNum;
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}
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}
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}
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for (int i=0, n=-1; i<_gr.nodeNum()*2; ++i) {
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if (plist[i] == -1) {
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if (n==-1) {
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n = i;
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} else {
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plist[n] = i/2;
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plist[i] = n/2;
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break;
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}
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}
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}
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for (int i=0, next=0, last=-1; i!=_gr.nodeNum(); ++i) {
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_path.push_back(_gr.nodeFromId(next));
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if (plist[2*next] != last) {
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last = next;
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next = plist[2*next];
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} else {
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last = next;
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next = plist[2*next+1];
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}
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}
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_sum = _cost[_gr.edge(_path.back(), _path.front())];
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for (int i = 0; i < int(_path.size())-1; ++i) {
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_sum += _cost[_gr.edge(_path[i], _path[i+1])];
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}
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return _sum;
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}
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/// @}
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/// \name Query Functions
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/// @{
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/// \brief The total cost of the found tour.
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///
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/// This function returns the total cost of the found tour.
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///
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/// \pre run() must be called before using this function.
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Cost tourCost() const {
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return _sum;
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}
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/// \brief Returns a const reference to the node sequence of the
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/// found tour.
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///
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/// This function returns a const reference to a vector
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/// that stores the node sequence of the found tour.
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///
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/// \pre run() must be called before using this function.
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const std::vector<Node>& tourNodes() const {
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return _path;
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}
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/// \brief Gives back the node sequence of the found tour.
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///
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/// This function copies the node sequence of the found tour into
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/// an STL container through the given output iterator. The
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/// <tt>value_type</tt> of the container must be <tt>FullGraph::Node</tt>.
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/// For example,
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/// \code
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/// std::vector<FullGraph::Node> nodes(countNodes(graph));
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/// tsp.tourNodes(nodes.begin());
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/// \endcode
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/// or
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/// \code
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/// std::list<FullGraph::Node> nodes;
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/// tsp.tourNodes(std::back_inserter(nodes));
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/// \endcode
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///
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/// \pre run() must be called before using this function.
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template <typename Iterator>
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void tourNodes(Iterator out) const {
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std::copy(_path.begin(), _path.end(), out);
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}
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/// \brief Gives back the found tour as a path.
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///
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/// This function copies the found tour as a list of arcs/edges into
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/// the given \ref concept::Path "path structure".
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///
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/// \pre run() must be called before using this function.
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template <typename Path>
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void tour(Path &path) const {
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path.clear();
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for (int i = 0; i < int(_path.size()) - 1; ++i) {
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path.addBack(_gr.arc(_path[i], _path[i+1]));
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}
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if (int(_path.size()) >= 2) {
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path.addBack(_gr.arc(_path.back(), _path.front()));
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}
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}
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/// @}
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};
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}; // namespace lemon
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#endif
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