RhodeCode

prefix=@CMAKE_INSTALL_PREFIX@

exec_prefix=@CMAKE_INSTALL_PREFIX@/bin

libdir=@CMAKE_INSTALL_PREFIX@/lib

includedir=@CMAKE_INSTALL_PREFIX@/include

Name: @PROJECT_NAME@

Description: Library for Efficient Modeling and Optimization in Networks

Version: @PROJECT_VERSION@

Libs: -L${libdir} -lemon @GLPK_LIBS@ @CPLEX_LIBS@ @SOPLEX_LIBS@ @CLP_LIBS@ @CBC_LIBS@

Cflags: -I${includedir}

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

 *

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

 *

 * Copyright (C) 2003-2010

 * 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.

 *

 */

#ifndef LEMON_NAGAMOCHI_IBARAKI_H

#define LEMON_NAGAMOCHI_IBARAKI_H

/// \ingroup min_cut

/// \file

/// \brief Implementation of the Nagamochi-Ibaraki algorithm.

#include <lemon/core.h>

#include <lemon/bin_heap.h>

#include <lemon/bucket_heap.h>

#include <lemon/maps.h>

#include <lemon/radix_sort.h>

#include <lemon/unionfind.h>

#include <cassert>

namespace lemon {

  /// \brief Default traits class for NagamochiIbaraki class.

  ///

  /// Default traits class for NagamochiIbaraki class.

  /// \param GR The undirected graph type.

  /// \param CM Type of capacity map.

  template <typename GR, typename CM>

  struct NagamochiIbarakiDefaultTraits {

    /// The type of the capacity map.

    typedef typename CM::Value Value;

    /// The undirected graph type the algorithm runs on.

    typedef GR Graph;

    /// \brief The type of the map that stores the edge capacities.

    ///

    /// The type of the map that stores the edge capacities.

    /// It must meet the \ref concepts::ReadMap "ReadMap" concept.

    typedef CM CapacityMap;

    /// \brief Instantiates a CapacityMap.

    ///

    /// This function instantiates a \ref CapacityMap.

#ifdef DOXYGEN

    static CapacityMap *createCapacityMap(const Graph& graph)

#else

    static CapacityMap *createCapacityMap(const Graph&)

#endif

    {

        LEMON_ASSERT(false, "CapacityMap is not initialized");

        return 0; // ignore warnings

    }

    /// \brief The cross reference type used by heap.

    ///

    /// The cross reference type used by heap.

    /// Usually \c Graph::NodeMap<int>.

    typedef typename Graph::template NodeMap<int> HeapCrossRef;

    /// \brief Instantiates a HeapCrossRef.

    ///

    /// This function instantiates a \ref HeapCrossRef.

    /// \param g is the graph, to which we would like to define the

    /// \ref HeapCrossRef.

    static HeapCrossRef *createHeapCrossRef(const Graph& g) {

      return new HeapCrossRef(g);

    }

    /// \brief The heap type used by NagamochiIbaraki algorithm.

    ///

    /// The heap type used by NagamochiIbaraki algorithm. It has to

    /// maximize the priorities.

    ///

    /// \sa BinHeap

    /// \sa NagamochiIbaraki

    typedef BinHeap<Value, HeapCrossRef, std::greater<Value> > Heap;

    /// \brief Instantiates a Heap.

    ///

    /// This function instantiates a \ref Heap.

    /// \param r is the cross reference of the heap.

    static Heap *createHeap(HeapCrossRef& r) {

      return new Heap(r);

    }

  };

  /// \ingroup min_cut

  ///

  /// \brief Calculates the minimum cut in an undirected graph.

  ///

  /// Calculates the minimum cut in an undirected graph with the

  /// Nagamochi-Ibaraki algorithm. The algorithm separates the graph's

  /// nodes into two partitions with the minimum sum of edge capacities

  /// between the two partitions. The algorithm can be used to test

  /// the network reliability, especially to test how many links have

  /// to be destroyed in the network to split it to at least two

  /// distinict subnetworks.

  ///

  /// The complexity of the algorithm is \f$ O(nm\log(n)) \f$ but with

  /// \ref FibHeap "Fibonacci heap" it can be decreased to

  /// \f$ O(nm+n^2\log(n)) \f$.  When the edges have unit capacities,

  /// \c BucketHeap can be used which yields \f$ O(nm) \f$ time

  /// complexity.

  ///

  /// \warning The value type of the capacity map should be able to

  /// hold any cut value of the graph, otherwise the result can

  /// overflow.

  /// \note This capacity is supposed to be integer type.

#ifdef DOXYGEN

  template <typename GR, typename CM, typename TR>

#else

  template <typename GR,

            typename CM = typename GR::template EdgeMap<int>,

            typename TR = NagamochiIbarakiDefaultTraits<GR, CM> >

#endif

  class NagamochiIbaraki {

  public:

    typedef TR Traits;

    /// The type of the underlying graph.

    typedef typename Traits::Graph Graph;

    /// The type of the capacity map.

    typedef typename Traits::CapacityMap CapacityMap;

    /// The value type of the capacity map.

    typedef typename Traits::CapacityMap::Value Value;

    /// The heap type used by the algorithm.

    typedef typename Traits::Heap Heap;

    /// The cross reference type used for the heap.

    typedef typename Traits::HeapCrossRef HeapCrossRef;

    ///\name Named template parameters

    ///@{

    struct SetUnitCapacityTraits : public Traits {

      typedef ConstMap<typename Graph::Edge, Const<int, 1> > CapacityMap;

      static CapacityMap *createCapacityMap(const Graph&) {

        return new CapacityMap();

      }

    };

    /// \brief \ref named-templ-param "Named parameter" for setting

    /// the capacity map to a constMap<Edge, int, 1>() instance

    ///

    /// \ref named-templ-param "Named parameter" for setting

    /// the capacity map to a constMap<Edge, int, 1>() instance

    struct SetUnitCapacity

      : public NagamochiIbaraki<Graph, CapacityMap,

                                SetUnitCapacityTraits> {

      typedef NagamochiIbaraki<Graph, CapacityMap,

                               SetUnitCapacityTraits> Create;

    };

    template <class H, class CR>

    struct SetHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(int num) {

        LEMON_ASSERT(false, "HeapCrossRef is not initialized");

        return 0; // ignore warnings

      }

      static Heap *createHeap(HeapCrossRef &) {

        LEMON_ASSERT(false, "Heap is not initialized");

        return 0; // ignore warnings

      }

    };

    /// \brief \ref named-templ-param "Named parameter" for setting

    /// heap and cross reference type

    ///

    /// \ref named-templ-param "Named parameter" for setting heap and

    /// cross reference type. The heap has to maximize the priorities.

    template <class H, class CR = RangeMap<int> >

    struct SetHeap

      : public NagamochiIbaraki<Graph, CapacityMap, SetHeapTraits<H, CR> > {

      typedef NagamochiIbaraki< Graph, CapacityMap, SetHeapTraits<H, CR> >

      Create;

    };

    template <class H, class CR>

    struct SetStandardHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(int size) {

        return new HeapCrossRef(size);

      }

      static Heap *createHeap(HeapCrossRef &crossref) {

        return new Heap(crossref);

      }

    };

    /// \brief \ref named-templ-param "Named parameter" for setting

    /// heap and cross reference type with automatic allocation

    ///

    /// \ref named-templ-param "Named parameter" for setting heap and

    /// cross reference type with automatic allocation. They should

    /// have standard constructor interfaces to be able to

    /// automatically created by the algorithm (i.e. the graph should

    /// be passed to the constructor of the cross reference and the

    /// cross reference should be passed to the constructor of the

    /// heap). However, external heap and cross reference objects

    /// could also be passed to the algorithm using the \ref heap()

    /// function before calling \ref run() or \ref init(). The heap

    /// has to maximize the priorities.

    /// \sa SetHeap

    template <class H, class CR = RangeMap<int> >

    struct SetStandardHeap

      : public NagamochiIbaraki<Graph, CapacityMap,

                                SetStandardHeapTraits<H, CR> > {

      typedef NagamochiIbaraki<Graph, CapacityMap,

                               SetStandardHeapTraits<H, CR> > Create;

    };

    ///@}

  private:

    const Graph &_graph;

    const CapacityMap *_capacity;

    bool _local_capacity; // unit capacity

    struct ArcData {

      typename Graph::Node target;

      int prev, next;

    };

    struct EdgeData {

      Value capacity;

      Value cut;

    };

    struct NodeData {

      int first_arc;

      typename Graph::Node prev, next;

      int curr_arc;

      typename Graph::Node last_rep;

      Value sum;

    };

    typename Graph::template NodeMap<NodeData> *_nodes;

    std::vector<ArcData> _arcs;

    std::vector<EdgeData> _edges;

    typename Graph::Node _first_node;

    int _node_num;

    Value _min_cut;

    HeapCrossRef *_heap_cross_ref;

    bool _local_heap_cross_ref;

    Heap *_heap;

    bool _local_heap;

    typedef typename Graph::template NodeMap<typename Graph::Node> NodeList;

    NodeList *_next_rep;

    typedef typename Graph::template NodeMap<bool> MinCutMap;

    MinCutMap *_cut_map;

    void createStructures() {

      if (!_nodes) {

        _nodes = new (typename Graph::template NodeMap<NodeData>)(_graph);

      }

      if (!_capacity) {

        _local_capacity = true;

        _capacity = Traits::createCapacityMap(_graph);

      }

      if (!_heap_cross_ref) {

        _local_heap_cross_ref = true;

        _heap_cross_ref = Traits::createHeapCrossRef(_graph);

      }

      if (!_heap) {

        _local_heap = true;

        _heap = Traits::createHeap(*_heap_cross_ref);

      }

      if (!_next_rep) {

        _next_rep = new NodeList(_graph);

      }

      if (!_cut_map) {

        _cut_map = new MinCutMap(_graph);

      }

    }

  public :

    typedef NagamochiIbaraki Create;

    /// \brief Constructor.

    ///

    /// \param graph The graph the algorithm runs on.

    /// \param capacity The capacity map used by the algorithm.

    NagamochiIbaraki(const Graph& graph, const CapacityMap& capacity)

      : _graph(graph), _capacity(&capacity), _local_capacity(false),

        _nodes(0), _arcs(), _edges(), _min_cut(),

        _heap_cross_ref(0), _local_heap_cross_ref(false),

        _heap(0), _local_heap(false),

        _next_rep(0), _cut_map(0) {}

    /// \brief Constructor.

    ///

    /// This constructor can be used only when the Traits class

    /// defines how can the local capacity map be instantiated.

    /// If the SetUnitCapacity used the algorithm automatically

    /// constructs the capacity map.

    ///

    ///\param graph The graph the algorithm runs on.

    NagamochiIbaraki(const Graph& graph)

      : _graph(graph), _capacity(0), _local_capacity(false),

        _nodes(0), _arcs(), _edges(), _min_cut(),

        _heap_cross_ref(0), _local_heap_cross_ref(false),

        _heap(0), _local_heap(false),

        _next_rep(0), _cut_map(0) {}

    /// \brief Destructor.

    ///

    /// Destructor.

    ~NagamochiIbaraki() {

      if (_local_capacity) delete _capacity;

      if (_nodes) delete _nodes;

      if (_local_heap) delete _heap;

      if (_local_heap_cross_ref) delete _heap_cross_ref;

      if (_next_rep) delete _next_rep;

      if (_cut_map) delete _cut_map;

    }

    /// \brief Sets the heap and the cross reference used by algorithm.

    ///

    /// Sets the heap and the cross reference used by algorithm.

    /// If you don't use this function before calling \ref run(),

    /// it will allocate one. The destuctor deallocates this

    /// automatically allocated heap and cross reference, of course.

    /// \return <tt> (*this) </tt>

    NagamochiIbaraki &heap(Heap& hp, HeapCrossRef &cr)

    {

      if (_local_heap_cross_ref) {

        delete _heap_cross_ref;

        _local_heap_cross_ref = false;

      }

      _heap_cross_ref = &cr;

      if (_local_heap) {

        delete _heap;

        _local_heap = false;

      }

      _heap = &hp;

      return *this;

    }

    /// \name Execution control

    /// The simplest way to execute the algorithm is to use

    /// one of the member functions called \c run().

    /// \n

    /// If you need more control on the execution,

    /// first you must call \ref init() and then call the start()

    /// or proper times the processNextPhase() member functions.

    ///@{

    /// \brief Initializes the internal data structures.

    ///

    /// Initializes the internal data structures.

    void init() {

      createStructures();

      int edge_num = countEdges(_graph);

      _edges.resize(edge_num);

      _arcs.resize(2 * edge_num);

      typename Graph::Node prev = INVALID;

      _node_num = 0;

      for (typename Graph::NodeIt n(_graph); n != INVALID; ++n) {

        (*_cut_map)[n] = false;

        (*_next_rep)[n] = INVALID;

        (*_nodes)[n].last_rep = n;

        (*_nodes)[n].first_arc = -1;

        (*_nodes)[n].curr_arc = -1;

        (*_nodes)[n].prev = prev;

        if (prev != INVALID) {

          (*_nodes)[prev].next = n;

        }

        (*_nodes)[n].next = INVALID;

        (*_nodes)[n].sum = 0;

        prev = n;

        ++_node_num;

      }

      _first_node = typename Graph::NodeIt(_graph);

      int index = 0;

      for (typename Graph::NodeIt n(_graph); n != INVALID; ++n) {

        for (typename Graph::OutArcIt a(_graph, n); a != INVALID; ++a) {

          typename Graph::Node m = _graph.target(a);

          if (!(n < m)) continue;

          (*_nodes)[n].sum += (*_capacity)[a];

          (*_nodes)[m].sum += (*_capacity)[a];

          int c = (*_nodes)[m].curr_arc;

          if (c != -1 && _arcs[c ^ 1].target == n) {

            _edges[c >> 1].capacity += (*_capacity)[a];

          } else {

            _edges[index].capacity = (*_capacity)[a];

            _arcs[index << 1].prev = -1;

            if ((*_nodes)[n].first_arc != -1) {

              _arcs[(*_nodes)[n].first_arc].prev = (index << 1);

            }

            _arcs[index << 1].next = (*_nodes)[n].first_arc;

            (*_nodes)[n].first_arc = (index << 1);

            _arcs[index << 1].target = m;

            (*_nodes)[m].curr_arc = (index << 1);

            _arcs[(index << 1) | 1].prev = -1;

            if ((*_nodes)[m].first_arc != -1) {

              _arcs[(*_nodes)[m].first_arc].prev = ((index << 1) | 1);

            }

            _arcs[(index << 1) | 1].next = (*_nodes)[m].first_arc;

            (*_nodes)[m].first_arc = ((index << 1) | 1);

            _arcs[(index << 1) | 1].target = n;

            ++index;

          }

        }

      }

      typename Graph::Node cut_node = INVALID;

      _min_cut = std::numeric_limits<Value>::max();

      for (typename Graph::Node n = _first_node; 

           n != INVALID; n = (*_nodes)[n].next) {

        if ((*_nodes)[n].sum < _min_cut) {

          cut_node = n;

          _min_cut = (*_nodes)[n].sum;

        }

      }

      (*_cut_map)[cut_node] = true;

      if (_min_cut == 0) {

        _first_node = INVALID;

      }

    }

  public:

    /// \brief Processes the next phase

    ///

    /// Processes the next phase in the algorithm. It must be called

    /// at most one less the number of the nodes in the graph.

    ///

    ///\return %True when the algorithm finished.

    bool processNextPhase() {

      if (_first_node == INVALID) return true;

      _heap->clear();

      for (typename Graph::Node n = _first_node; 

           n != INVALID; n = (*_nodes)[n].next) {

        (*_heap_cross_ref)[n] = Heap::PRE_HEAP;

      }

      std::vector<typename Graph::Node> order;

      order.reserve(_node_num);

      int sep = 0;

      Value alpha = 0;

      Value pmc = std::numeric_limits<Value>::max();

      _heap->push(_first_node, static_cast<Value>(0));

      while (!_heap->empty()) {

        typename Graph::Node n = _heap->top();

        Value v = _heap->prio();

        _heap->pop();

        for (int a = (*_nodes)[n].first_arc; a != -1; a = _arcs[a].next) {

          switch (_heap->state(_arcs[a].target)) {

          case Heap::PRE_HEAP: 

            {

              Value nv = _edges[a >> 1].capacity;

              _heap->push(_arcs[a].target, nv);

              _edges[a >> 1].cut = nv;

            } break;

          case Heap::IN_HEAP:

            {

              Value nv = _edges[a >> 1].capacity + (*_heap)[_arcs[a].target];

              _heap->decrease(_arcs[a].target, nv);

              _edges[a >> 1].cut = nv;

            } break;

          case Heap::POST_HEAP:

            break;

          }

        }

        alpha += (*_nodes)[n].sum;

        alpha -= 2 * v;

        order.push_back(n);

        if (!_heap->empty()) {

          if (alpha < pmc) {

            pmc = alpha;

            sep = order.size();

          }

        }

      }

      if (static_cast<int>(order.size()) < _node_num) {

        _first_node = INVALID;

        for (typename Graph::NodeIt n(_graph); n != INVALID; ++n) {

          (*_cut_map)[n] = false;

        }

        for (int i = 0; i < static_cast<int>(order.size()); ++i) {

          typename Graph::Node n = order[i];

          while (n != INVALID) {

            (*_cut_map)[n] = true;

            n = (*_next_rep)[n];

          }

        }

        _min_cut = 0;

        return true;

      }

      if (pmc < _min_cut) {

        for (typename Graph::NodeIt n(_graph); n != INVALID; ++n) {

          (*_cut_map)[n] = false;

        }

        for (int i = 0; i < sep; ++i) {

          typename Graph::Node n = order[i];

          while (n != INVALID) {

            (*_cut_map)[n] = true;

            n = (*_next_rep)[n];

          }

        }

        _min_cut = pmc;

      }

      for (typename Graph::Node n = _first_node;

           n != INVALID; n = (*_nodes)[n].next) {

        bool merged = false;

        for (int a = (*_nodes)[n].first_arc; a != -1; a = _arcs[a].next) {

          if (!(_edges[a >> 1].cut < pmc)) {

            if (!merged) {

              for (int b = (*_nodes)[n].first_arc; b != -1; b = _arcs[b].next) {

                (*_nodes)[_arcs[b].target].curr_arc = b;          

              }

              merged = true;

            }

            typename Graph::Node m = _arcs[a].target;

            int nb = 0;

            for (int b = (*_nodes)[m].first_arc; b != -1; b = nb) {

              nb = _arcs[b].next;

              if ((b ^ a) == 1) continue;

              typename Graph::Node o = _arcs[b].target;

              int c = (*_nodes)[o].curr_arc; 

              if (c != -1 && _arcs[c ^ 1].target == n) {

                _edges[c >> 1].capacity += _edges[b >> 1].capacity;

                (*_nodes)[n].sum += _edges[b >> 1].capacity;

                if (_edges[b >> 1].cut < _edges[c >> 1].cut) {

                  _edges[b >> 1].cut = _edges[c >> 1].cut;

                }

                if (_arcs[b ^ 1].prev != -1) {

                  _arcs[_arcs[b ^ 1].prev].next = _arcs[b ^ 1].next;

                } else {

                  (*_nodes)[o].first_arc = _arcs[b ^ 1].next;

                }

                if (_arcs[b ^ 1].next != -1) {

                  _arcs[_arcs[b ^ 1].next].prev = _arcs[b ^ 1].prev;

                }

              } else {

                if (_arcs[a].next != -1) {

                  _arcs[_arcs[a].next].prev = b;

                }

                _arcs[b].next = _arcs[a].next;

                _arcs[b].prev = a;

                _arcs[a].next = b;

                _arcs[b ^ 1].target = n;

                (*_nodes)[n].sum += _edges[b >> 1].capacity;

                (*_nodes)[o].curr_arc = b;

              }

            }

            if (_arcs[a].prev != -1) {

              _arcs[_arcs[a].prev].next = _arcs[a].next;

            } else {

              (*_nodes)[n].first_arc = _arcs[a].next;

            }            

            if (_arcs[a].next != -1) {

              _arcs[_arcs[a].next].prev = _arcs[a].prev;

            }

            (*_nodes)[n].sum -= _edges[a >> 1].capacity;

            (*_next_rep)[(*_nodes)[n].last_rep] = m;

            (*_nodes)[n].last_rep = (*_nodes)[m].last_rep;

            if ((*_nodes)[m].prev != INVALID) {

              (*_nodes)[(*_nodes)[m].prev].next = (*_nodes)[m].next;

            } else{

              _first_node = (*_nodes)[m].next;

            }

            if ((*_nodes)[m].next != INVALID) {

              (*_nodes)[(*_nodes)[m].next].prev = (*_nodes)[m].prev;

            }

            --_node_num;

          }

        }

      }

      if (_node_num == 1) {

        _first_node = INVALID;

        return true;

      }

      return false;

    }

    /// \brief Executes the algorithm.

    ///

    /// Executes the algorithm.

    ///

    /// \pre init() must be called

    void start() {

      while (!processNextPhase()) {}

    }

    /// \brief Runs %NagamochiIbaraki algorithm.

    ///

    /// This method runs the %Min cut algorithm

    ///

    /// \note mc.run(s) is just a shortcut of the following code.

    ///\code

    ///  mc.init();

    ///  mc.start();

    ///\endcode

    void run() {

      init();

      start();

    }

    ///@}

    /// \name Query Functions

    ///

    /// The result of the %NagamochiIbaraki

    /// algorithm can be obtained using these functions.\n

    /// Before the use of these functions, either run() or start()

    /// must be called.

    ///@{

    /// \brief Returns the min cut value.

    ///

    /// Returns the min cut value if the algorithm finished.

    /// After the first processNextPhase() it is a value of a

    /// valid cut in the graph.

    Value minCutValue() const {

      return _min_cut;

    }

    /// \brief Returns a min cut in a NodeMap.

    ///

    /// It sets the nodes of one of the two partitions to true and

    /// the other partition to false.

    /// \param cutMap A \ref concepts::WriteMap "writable" node map with

    /// \c bool (or convertible) value type.

    template <typename CutMap>

    Value minCutMap(CutMap& cutMap) const {

      for (typename Graph::NodeIt n(_graph); n != INVALID; ++n) {

        cutMap.set(n, (*_cut_map)[n]);

      }

      return minCutValue();

    }

    ///@}

  };

}

#endif

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

 *

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

 *

 * Copyright (C) 2003-2010

 * 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 <sstream>

#include <lemon/smart_graph.h>

#include <lemon/adaptors.h>

#include <lemon/concepts/graph.h>

#include <lemon/concepts/maps.h>

#include <lemon/lgf_reader.h>

#include <lemon/nagamochi_ibaraki.h>

#include "test_tools.h"

using namespace lemon;

using namespace std;

const std::string lgf =

  "@nodes\n"

  "label\n"

  "0\n"

  "1\n"

  "2\n"

  "3\n"

  "4\n"

  "5\n"

  "@edges\n"

  "     cap1 cap2 cap3\n"

  "0 1  1    1    1   \n"

  "0 2  2    2    4   \n"

  "1 2  4    4    4   \n"

  "3 4  1    1    1   \n"

  "3 5  2    2    4   \n"

  "4 5  4    4    4   \n"

  "2 3  1    6    6   \n";

void checkNagamochiIbarakiCompile()

{

  typedef int Value;

  typedef concepts::Graph Graph;

  typedef Graph::Node Node;

  typedef Graph::Edge Edge;

  typedef concepts::ReadMap<Edge, Value> CapMap;

  typedef concepts::WriteMap<Node, bool> CutMap;

  Graph g;

  Node n;

  CapMap cap;

  CutMap cut;

  Value v;

  bool b;

  NagamochiIbaraki<Graph, CapMap> ni_test(g, cap);

  const NagamochiIbaraki<Graph, CapMap>& const_ni_test = ni_test;

  ni_test.init();

  ni_test.start();

  b = ni_test.processNextPhase();

  ni_test.run();

  v = const_ni_test.minCutValue();

  v = const_ni_test.minCutMap(cut);

}

template <typename Graph, typename CapMap, typename CutMap>

typename CapMap::Value

  cutValue(const Graph& graph, const CapMap& cap, const CutMap& cut)

{

  typename CapMap::Value sum = 0;

  for (typename Graph::EdgeIt e(graph); e != INVALID; ++e) {

    if (cut[graph.u(e)] != cut[graph.v(e)]) {

      sum += cap[e];

    }

  }

  return sum;

}

int main() {

  SmartGraph graph;

  SmartGraph::EdgeMap<int> cap1(graph), cap2(graph), cap3(graph);

  SmartGraph::NodeMap<bool> cut(graph);

  istringstream input(lgf);

  graphReader(graph, input)

    .edgeMap("cap1", cap1)

    .edgeMap("cap2", cap2)

    .edgeMap("cap3", cap3)

    .run();

  {

    NagamochiIbaraki<SmartGraph> ni(graph, cap1);

    ni.run();

    ni.minCutMap(cut);

    check(ni.minCutValue() == 1, "Wrong cut value");

    check(ni.minCutValue() == cutValue(graph, cap1, cut), "Wrong cut value");

  }

  {

    NagamochiIbaraki<SmartGraph> ni(graph, cap2);

    ni.run();

    ni.minCutMap(cut);

    check(ni.minCutValue() == 3, "Wrong cut value");

    check(ni.minCutValue() == cutValue(graph, cap2, cut), "Wrong cut value");

  }

  {

    NagamochiIbaraki<SmartGraph> ni(graph, cap3);

    ni.run();

    ni.minCutMap(cut);

    check(ni.minCutValue() == 5, "Wrong cut value");

    check(ni.minCutValue() == cutValue(graph, cap3, cut), "Wrong cut value");

  }

  {

    NagamochiIbaraki<SmartGraph>::SetUnitCapacity::Create ni(graph);

    ni.run();

    ni.minCutMap(cut);

    ConstMap<SmartGraph::Edge, int> cap4(1);

    check(ni.minCutValue() == 1, "Wrong cut value");

    check(ni.minCutValue() == cutValue(graph, cap4, cut), "Wrong cut value");

  }

  return 0;

}

INCLUDE(FindWget)

SET(LEMON_DOC_SOURCE_BROWSER "NO" CACHE STRING "Include source into the doc (YES/NO).")