/* -*- C++ -*-

 * lemon/min_cut.h - Part of LEMON, a generic C++ optimization library

 *

 * Copyright (C) 2005 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 topology 

/// \file 

/// \brief Maximum cardinality search and minimum cut in undirected

/// graphs.

#include <lemon/list_graph.h>

#include <lemon/bin_heap.h>

#include <lemon/bucket_heap.h>

#include <lemon/unionfind.h>

#include <lemon/topology.h>

#include <lemon/bits/invalid.h>

#include <lemon/error.h>

#include <lemon/maps.h>

#include <functional>

#include <lemon/graph_writer.h>

#include <lemon/time_measure.h>

namespace lemon {

  namespace _min_cut_bits {

    template <typename CapacityMap>

    struct HeapSelector {

      template <typename Value, typename Ref>

      struct Selector {

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

      };

    };

    template <typename CapacityKey>

    struct HeapSelector<ConstMap<CapacityKey, Const<int, 1> > > {

      template <typename Value, typename Ref>

      struct Selector {

        typedef BucketHeap<Ref, false > Heap;

      };

    };

  }

  /// \brief Default traits class of MaxCardinalitySearch class.

  ///

  /// Default traits class of MaxCardinalitySearch class.

  /// \param Graph Graph type.

  /// \param CapacityMap Type of length map.

  template <typename _Graph, typename _CapacityMap>

  struct MaxCardinalitySearchDefaultTraits {

    /// The graph type the algorithm runs on. 

    typedef _Graph 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 _CapacityMap CapacityMap;

    /// \brief The type of the capacity of the edges.

    typedef typename CapacityMap::Value Value;

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

    ///

    /// The cross reference type used by heap.

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

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

    /// \brief Instantiates a HeapCrossRef.

    ///

    /// This function instantiates a \ref HeapCrossRef. 

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

    /// HeapCrossRef.

    static HeapCrossRef *createHeapCrossRef(const Graph &graph) {

      return new HeapCrossRef(graph);

    }

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

    ///

    /// The heap type used by MaxCardinalitySearch algorithm. It should

    /// maximalize the priorities. The default heap type is

    /// the \ref BinHeap, but it is specialized when the

    /// CapacityMap is ConstMap<Graph::Node, Const<int, 1> >

    /// to BucketHeap.

    ///

    /// \sa MaxCardinalitySearch

    typedef typename _min_cut_bits

    ::HeapSelector<CapacityMap>

    ::template Selector<Value, HeapCrossRef>

    ::Heap Heap;

    /// \brief Instantiates a Heap.

    ///

    /// This function instantiates a \ref Heap. 

    /// \param crossref The cross reference of the heap.

    static Heap *createHeap(HeapCrossRef& crossref) {

      return new Heap(crossref);

    }

    /// \brief The type of the map that stores whether a nodes is processed.

    ///

    /// The type of the map that stores whether a nodes is processed.

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

    /// By default it is a NullMap.

    typedef NullMap<typename Graph::Node, bool> ProcessedMap;

    /// \brief Instantiates a ProcessedMap.

    ///

    /// This function instantiates a \ref ProcessedMap. 

    /// \param graph is the graph, to which

    /// we would like to define the \ref ProcessedMap

#ifdef DOXYGEN

    static ProcessedMap *createProcessedMap(const Graph &graph)

#else

    static ProcessedMap *createProcessedMap(const Graph &)

#endif

    {

      return new ProcessedMap();

    }

    /// \brief The type of the map that stores the cardinalties of the nodes.

    /// 

    /// The type of the map that stores the cardinalities of the nodes.

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

    typedef typename Graph::template NodeMap<Value> CardinalityMap;

    /// \brief Instantiates a CardinalityMap.

    ///

    /// This function instantiates a \ref CardinalityMap. 

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

    /// CardinalityMap

    static CardinalityMap *createCardinalityMap(const Graph &graph) {

      return new CardinalityMap(graph);

    }

  };

  /// \ingroup topology

  ///

  /// \brief Maximum Cardinality Search algorithm class.

  ///

  /// This class provides an efficient implementation of Maximum Cardinality 

  /// Search algorithm. The maximum cardinality search chooses first time any 

  /// node of the graph. Then every time it chooses the node which is connected

  /// to the processed nodes at most in the sum of capacities on the out 

  /// edges. If there is a cut in the graph the algorithm should choose

  /// again any unprocessed node of the graph. Each node cardinality is

  /// the sum of capacities on the out edges to the nodes which are processed

  /// before the given node.

  ///

  /// The edge capacities are passed to the algorithm using a

  /// \ref concepts::ReadMap "ReadMap", so it is easy to change it to any 

  /// kind of capacity.

  ///

  /// The type of the capacity is determined by the \ref 

  /// concepts::ReadMap::Value "Value" of the capacity map.

  ///

  /// It is also possible to change the underlying priority heap.

  ///

  ///

  /// \param _Graph The graph type the algorithm runs on. The default value

  /// is \ref ListGraph. The value of Graph is not used directly by

  /// the search algorithm, it is only passed to 

  /// \ref MaxCardinalitySearchDefaultTraits.

  /// \param _CapacityMap This read-only EdgeMap determines the capacities of 

  /// the edges. It is read once for each edge, so the map may involve in

  /// relatively time consuming process to compute the edge capacity if

  /// it is necessary. The default map type is \ref

  /// concepts::Graph::EdgeMap "Graph::EdgeMap<int>".  The value

  /// of CapacityMap is not used directly by search algorithm, it is only 

  /// passed to \ref MaxCardinalitySearchDefaultTraits.  

  /// \param _Traits Traits class to set various data types used by the 

  /// algorithm.  The default traits class is 

  /// \ref MaxCardinalitySearchDefaultTraits 

  /// "MaxCardinalitySearchDefaultTraits<_Graph, _CapacityMap>".  

  /// See \ref MaxCardinalitySearchDefaultTraits 

  /// for the documentation of a MaxCardinalitySearch traits class.

  ///

  /// \author Balazs Dezso

#ifdef DOXYGEN

  template <typename _Graph, typename _CapacityMap, typename _Traits>

#else

  template <typename _Graph = ListUGraph,

	    typename _CapacityMap = typename _Graph::template EdgeMap<int>,

	    typename _Traits = 

            MaxCardinalitySearchDefaultTraits<_Graph, _CapacityMap> >

#endif

  class MaxCardinalitySearch {

  public:

    /// \brief \ref Exception for uninitialized parameters.

    ///

    /// This error represents problems in the initialization

    /// of the parameters of the algorithms.

    class UninitializedParameter : public lemon::UninitializedParameter {

    public:

      virtual const char* what() const throw() {

	return "lemon::MaxCardinalitySearch::UninitializedParameter";

      }

    };

    typedef _Traits Traits;

    ///The type of the underlying graph.

    typedef typename Traits::Graph Graph;

    ///The type of the capacity of the edges.

    typedef typename Traits::CapacityMap::Value Value;

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

    typedef typename Traits::CapacityMap CapacityMap;

    ///The type of the map indicating if a node is processed.

    typedef typename Traits::ProcessedMap ProcessedMap;

    ///The type of the map that stores the cardinalities of the nodes.

    typedef typename Traits::CardinalityMap CardinalityMap;

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

    typedef typename Traits::HeapCrossRef HeapCrossRef;

    ///The heap type used by the algorithm. It maximize the priorities.

    typedef typename Traits::Heap Heap;

  private:

    /// Pointer to the underlying graph.

    const Graph *_graph;

    /// Pointer to the capacity map

    const CapacityMap *_capacity;

    ///Pointer to the map of cardinality.

    CardinalityMap *_cardinality;

    ///Indicates if \ref _cardinality is locally allocated (\c true) or not.

    bool local_cardinality;

    ///Pointer to the map of processed status of the nodes.

    ProcessedMap *_processed;

    ///Indicates if \ref _processed is locally allocated (\c true) or not.

    bool local_processed;

    ///Pointer to the heap cross references.

    HeapCrossRef *_heap_cross_ref;

    ///Indicates if \ref _heap_cross_ref is locally allocated (\c true) or not.

    bool local_heap_cross_ref;

    ///Pointer to the heap.

    Heap *_heap;

    ///Indicates if \ref _heap is locally allocated (\c true) or not.

    bool local_heap;

  public :

    typedef MaxCardinalitySearch Create;

    ///\name Named template parameters

    ///@{

    template <class T>

    struct DefCardinalityMapTraits : public Traits {

      typedef T CardinalityMap;

      static CardinalityMap *createCardinalityMap(const Graph &) 

      {

	throw UninitializedParameter();

      }

    };

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

    /// CardinalityMap type

    ///

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

    /// type

    template <class T>

    struct DefCardinalityMap 

      : public MaxCardinalitySearch<Graph, CapacityMap, 

                                    DefCardinalityMapTraits<T> > { 

      typedef MaxCardinalitySearch<Graph, CapacityMap, 

                                   DefCardinalityMapTraits<T> > Create;

    };

    template <class T>

    struct DefProcessedMapTraits : public Traits {

      typedef T ProcessedMap;

      static ProcessedMap *createProcessedMap(const Graph &) {

	throw UninitializedParameter();

      }

    };

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

    /// ProcessedMap type

    ///

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

    ///

    template <class T>

    struct DefProcessedMap 

      : public MaxCardinalitySearch<Graph, CapacityMap, 

                                    DefProcessedMapTraits<T> > { 

      typedef MaxCardinalitySearch<Graph, CapacityMap, 

                                   DefProcessedMapTraits<T> > Create;

    };

    template <class H, class CR>

    struct DefHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(const Graph &) {

	throw UninitializedParameter();

      }

      static Heap *createHeap(HeapCrossRef &) {

	throw UninitializedParameter();

      }

    };

    /// \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

    template <class H, class CR = typename Graph::template NodeMap<int> >

    struct DefHeap

      : public MaxCardinalitySearch<Graph, CapacityMap, 

                                    DefHeapTraits<H, CR> > { 

      typedef MaxCardinalitySearch< Graph, CapacityMap, 

                                    DefHeapTraits<H, CR> > Create;

    };

    template <class H, class CR>

    struct DefStandardHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(const Graph &graph) {

	return new HeapCrossRef(graph);

      }

      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. It can allocate the heap and the cross reference 

    /// object if the cross reference's constructor waits for the graph as 

    /// parameter and the heap's constructor waits for the cross reference.

    template <class H, class CR = typename Graph::template NodeMap<int> >

    struct DefStandardHeap

      : public MaxCardinalitySearch<Graph, CapacityMap, 

                                    DefStandardHeapTraits<H, CR> > { 

      typedef MaxCardinalitySearch<Graph, CapacityMap, 

                                   DefStandardHeapTraits<H, CR> > 

      Create;

    };

    ///@}

  protected:

    MaxCardinalitySearch() {}

  public:      

    /// \brief Constructor.

    ///

    ///\param graph the graph the algorithm will run on.

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

    MaxCardinalitySearch(const Graph& graph, const CapacityMap& capacity) :

      _graph(&graph), _capacity(&capacity),

      _cardinality(0), local_cardinality(false),

      _processed(0), local_processed(false),

      _heap_cross_ref(0), local_heap_cross_ref(false),

      _heap(0), local_heap(false)

    { }

    /// \brief Destructor.

    ~MaxCardinalitySearch() {

      if(local_cardinality) delete _cardinality;

      if(local_processed) delete _processed;

      if(local_heap_cross_ref) delete _heap_cross_ref;

      if(local_heap) delete _heap;

    }

    /// \brief Sets the capacity map.

    ///

    /// Sets the capacity map.

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

    MaxCardinalitySearch &capacityMap(const CapacityMap &m) {

      _capacity = &m;

      return *this;

    }

    /// \brief Sets the map storing the cardinalities calculated by the 

    /// algorithm.

    ///

    /// Sets the map storing the cardinalities calculated by the algorithm.

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

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

    /// automatically allocated map, of course.

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

    MaxCardinalitySearch &cardinalityMap(CardinalityMap &m) {

      if(local_cardinality) {

	delete _cardinality;

	local_cardinality=false;

      }

      _cardinality = &m;

      return *this;

    }

    /// \brief Sets the map storing the processed nodes.

    ///

    /// Sets the map storing the processed nodes.

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

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

    /// automatically allocated map, of course.

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

    MaxCardinalitySearch &processedMap(ProcessedMap &m) 

    {

      if(local_processed) {

	delete _processed;

	local_processed=false;

      }

      _processed = &m;

      return *this;

    }

    /// \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 map, of course.

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

    MaxCardinalitySearch &heap(Heap& heap, HeapCrossRef &crossRef) {

      if(local_heap_cross_ref) {

	delete _heap_cross_ref;

	local_heap_cross_ref = false;

      }

      _heap_cross_ref = &crossRef;

      if(local_heap) {

	delete _heap;

	local_heap = false;

      }

      _heap = &heap;

      return *this;

    }

  private:

    typedef typename Graph::Node Node;

    typedef typename Graph::NodeIt NodeIt;

    typedef typename Graph::Edge Edge;

    typedef typename Graph::InEdgeIt InEdgeIt;

    void create_maps() {

      if(!_cardinality) {

	local_cardinality = true;

	_cardinality = Traits::createCardinalityMap(*_graph);

      }

      if(!_processed) {

	local_processed = true;

	_processed = Traits::createProcessedMap(*_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);

      }

    }

    void finalizeNodeData(Node node, Value capacity) {

      _processed->set(node, true);

      _cardinality->set(node, capacity);

    }

  public:

    /// \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(), then you can add several source nodes

    /// with \ref addSource().

    /// Finally \ref start() will perform the actual path

    /// computation.

    ///@{

    /// \brief Initializes the internal data structures.

    ///

    /// Initializes the internal data structures.

    void init() {

      create_maps();

      _heap->clear();

      for (NodeIt it(*_graph) ; it != INVALID ; ++it) {

	_processed->set(it, false);

	_heap_cross_ref->set(it, Heap::PRE_HEAP);

      }

    }

    /// \brief Adds a new source node.

    /// 

    /// Adds a new source node to the priority heap.

    ///

    /// It checks if the node has not yet been added to the heap.

    void addSource(Node source, Value capacity = 0) {

      if(_heap->state(source) == Heap::PRE_HEAP) {

	_heap->push(source, capacity);

      } 

    }

    /// \brief Processes the next node in the priority heap

    ///

    /// Processes the next node in the priority heap.

    ///

    /// \return The processed node.

    ///

    /// \warning The priority heap must not be empty!

    Node processNextNode() {

      Node node = _heap->top(); 

      finalizeNodeData(node, _heap->prio());

      _heap->pop();

      for (InEdgeIt it(*_graph, node); it != INVALID; ++it) {

	Node source = _graph->source(it); 

	switch (_heap->state(source)) {

	case Heap::PRE_HEAP:

	  _heap->push(source, (*_capacity)[it]); 

	  break;

	case Heap::IN_HEAP:

	  _heap->decrease(source, (*_heap)[source] + (*_capacity)[it]); 

	  break;

	case Heap::POST_HEAP:

	  break;

	}

      }

      return node;

    }

    /// \brief Next node to be processed.

    ///

    /// Next node to be processed.

    ///

    /// \return The next node to be processed or INVALID if the 

    /// priority heap is empty.

    Node nextNode() { 

      return _heap->empty() ? _heap->top() : INVALID;

    }

    /// \brief Returns \c false if there are nodes

    /// to be processed in the priority heap

    ///

    /// Returns \c false if there are nodes

    /// to be processed in the priority heap

    bool emptyQueue() { return _heap->empty(); }

    /// \brief Returns the number of the nodes to be processed 

    /// in the priority heap

    ///

    /// Returns the number of the nodes to be processed in the priority heap

    int queueSize() { return _heap->size(); }

    /// \brief Executes the algorithm.

    ///

    /// Executes the algorithm.

    ///

    ///\pre init() must be called and at least one node should be added

    /// with addSource() before using this function.

    ///

    /// This method runs the Maximum Cardinality Search algorithm from the 

    /// source node(s).

    void start() {

      while ( !_heap->empty() ) processNextNode();

    }

    /// \brief Executes the algorithm until \c dest is reached.

    ///

    /// Executes the algorithm until \c dest is reached.

    ///

    /// \pre init() must be called and at least one node should be added

    /// with addSource() before using this function.

    ///

    /// This method runs the %MaxCardinalitySearch algorithm from the source 

    /// nodes.

    void start(Node dest) {

      while ( !_heap->empty() && _heap->top()!=dest ) processNextNode();

      if ( !_heap->empty() ) finalizeNodeData(_heap->top(), _heap->prio());

    }

    /// \brief Executes the algorithm until a condition is met.

    ///

    /// Executes the algorithm until a condition is met.

    ///

    /// \pre init() must be called and at least one node should be added

    /// with addSource() before using this function.

    ///

    /// \param nm must be a bool (or convertible) node map. The algorithm

    /// will stop when it reaches a node \c v with <tt>nm[v]==true</tt>.

    template <typename NodeBoolMap>

    void start(const NodeBoolMap &nm) {

      while ( !_heap->empty() && !nm[_heap->top()] ) processNextNode();

      if ( !_heap->empty() ) finalizeNodeData(_heap->top(),_heap->prio());

    }

    /// \brief Runs the maximal cardinality search algorithm from node \c s.

    ///

    /// This method runs the %MaxCardinalitySearch algorithm from a root 

    /// node \c s.

    ///

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

    ///\code

    ///  d.init();

    ///  d.addSource(s);

    ///  d.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    /// \brief Runs the maximal cardinality search algorithm for the 

    /// whole graph.

    ///

    /// This method runs the %MaxCardinalitySearch algorithm from all 

    /// unprocessed node of the graph.

    ///

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

    ///\code

    ///  d.init();

    ///  for (NodeIt it(graph); it != INVALID; ++it) {

    ///    if (!d.reached(it)) {

    ///      d.addSource(s);

    ///      d.start();

    ///    }

    ///  }

    ///\endcode

    void run() {

      init();

      for (NodeIt it(*_graph); it != INVALID; ++it) {

        if (!reached(it)) {

          addSource(it);

          start();

        }

      }

    }

    ///@}

    /// \name Query Functions

    /// The result of the maximum cardinality search algorithm can be 

    /// obtained using these functions.

    /// \n

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

    /// called.

    ///@{

    /// \brief The cardinality of a node.

    ///

    /// Returns the cardinality of a node.

    /// \pre \ref run() must be called before using this function.

    /// \warning If node \c v in unreachable from the root the return value

    /// of this funcion is undefined.

    Value cardinality(Node node) const { return (*_cardinality)[node]; }

    /// \brief The current cardinality of a node.

    ///

    /// Returns the current cardinality of a node.

    /// \pre the given node should be reached but not processed

    Value currentCardinality(Node node) const { return (*_heap)[node]; }

    /// \brief Returns a reference to the NodeMap of cardinalities.

    ///

    /// Returns a reference to the NodeMap of cardinalities. \pre \ref run() 

    /// must be called before using this function.

    const CardinalityMap &cardinalityMap() const { return *_cardinality;}

    /// \brief Checks if a node is reachable from the root.

    ///

    /// Returns \c true if \c v is reachable from the root.

    /// \warning The source nodes are inditated as unreached.

    /// \pre \ref run() must be called before using this function.

    bool reached(Node v) { return (*_heap_cross_ref)[v] != Heap::PRE_HEAP; }

    /// \brief Checks if a node is processed.

    ///

    /// Returns \c true if \c v is processed, i.e. the shortest

    /// path to \c v has already found.

    /// \pre \ref run() must be called before using this function.

    bool processed(Node v) { return (*_heap_cross_ref)[v] == Heap::POST_HEAP; }

    ///@}

  };

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

  ///

  /// Default traits class of NagamochiIbaraki class.

  /// \param Graph Graph type.

  /// \param CapacityMap Type of length map.

  template <typename _Graph, typename _CapacityMap>

  struct NagamochiIbarakiDefaultTraits {

    /// \brief The type of the capacity of the edges.

    typedef typename _CapacityMap::Value Value;

    /// The graph type the algorithm runs on. 

    typedef _Graph Graph;

    /// The AuxGraph type which is an Graph

    typedef ListUGraph AuxGraph;

    /// \brief Instantiates a AuxGraph.

    ///

    /// This function instantiates a \ref AuxGraph. 

    static AuxGraph *createAuxGraph() {

      return new AuxGraph();

    }

    /// \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 _CapacityMap 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

    {

      throw UninitializedParameter();

    }

    /// \brief The CutValueMap type

    ///

    /// The type of the map that stores the cut value of a node.

    typedef AuxGraph::NodeMap<Value> AuxCutValueMap;

    /// \brief Instantiates a AuxCutValueMap.

    ///

    /// This function instantiates a \ref AuxCutValueMap. 

    static AuxCutValueMap *createAuxCutValueMap(const AuxGraph& graph) {

      return new AuxCutValueMap(graph);

    }

    /// \brief The AuxCapacityMap type

    ///

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

    typedef AuxGraph::UEdgeMap<Value> AuxCapacityMap;

    /// \brief Instantiates a AuxCapacityMap.

    ///

    /// This function instantiates a \ref AuxCapacityMap. 

    static AuxCapacityMap *createAuxCapacityMap(const AuxGraph& graph) {

      return new AuxCapacityMap(graph);

    }

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

    ///

    /// The cross reference type used by heap.

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

    typedef AuxGraph::NodeMap<int> HeapCrossRef;

    /// \brief Instantiates a HeapCrossRef.

    ///

    /// This function instantiates a \ref HeapCrossRef. 

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

    /// HeapCrossRef.

    static HeapCrossRef *createHeapCrossRef(const AuxGraph &graph) {

      return new HeapCrossRef(graph);

    }

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

    ///

    /// The heap type used by NagamochiIbaraki algorithm. It should

    /// maximalize the priorities and the heap's key type is

    /// the aux graph's node.

    ///

    /// \sa BinHeap

    /// \sa NagamochiIbaraki

    typedef typename _min_cut_bits

    ::HeapSelector<CapacityMap>

    ::template Selector<Value, HeapCrossRef>

    ::Heap Heap;

    /// \brief Instantiates a Heap.

    ///

    /// This function instantiates a \ref Heap. 

    /// \param crossref The cross reference of the heap.

    static Heap *createHeap(HeapCrossRef& crossref) {

      return new Heap(crossref);

    }

    /// \brief Map from the AuxGraph's node type to the Graph's node type.

    ///

    /// Map from the AuxGraph's node type to the Graph's node type.

    typedef typename AuxGraph

    ::template NodeMap<typename Graph::Node> NodeRefMap;

    /// \brief Instantiates a NodeRefMap.

    ///

    /// This function instantiates a \ref NodeRefMap. 

    static NodeRefMap *createNodeRefMap(const AuxGraph& graph) {

      return new NodeRefMap(graph);

    }

    /// \brief Map from the Graph's node type to the Graph's node type.

    ///

    /// Map from the Graph's node type to the Graph's node type.

    typedef typename Graph

    ::template NodeMap<typename Graph::Node> ListRefMap;

    /// \brief Instantiates a ListRefMap.

    ///

    /// This function instantiates a \ref ListRefMap. 

    static ListRefMap *createListRefMap(const Graph& graph) {

      return new ListRefMap(graph);

    }

  };

  /// \ingroup topology

  ///

  /// \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 specifically to test how many links have

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

  /// distinict subnetwork.

  ///

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

  /// Fibonacci heap it can be decreased to \f$ O(ne+n^2\log(n)) \f$. 

  /// When capacity map is neutral then it uses BucketHeap which

  /// results \f$ O(ne) \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.

#ifdef DOXYGEN

  template <typename _Graph, typename _CapacityMap, typename _Traits>

#else

  template <typename _Graph = ListUGraph, 

	    typename _CapacityMap = typename _Graph::template UEdgeMap<int>, 

	    typename _Traits 

            = NagamochiIbarakiDefaultTraits<_Graph, _CapacityMap> >

#endif

  class NagamochiIbaraki {

  public:

    /// \brief \ref Exception for uninitialized parameters.

    ///

    /// This error represents problems in the initialization

    /// of the parameters of the algorithms.

    class UninitializedParameter : public lemon::UninitializedParameter {

    public:

      virtual const char* what() const throw() {

	return "lemon::NagamochiIbaraki::UninitializedParameter";

      }

    };

  private:

    typedef _Traits Traits;

    /// The type of the underlying graph.

    typedef typename Traits::Graph Graph;

    /// The type of the capacity of the edges.

    typedef typename Traits::CapacityMap::Value Value;

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

    typedef typename Traits::CapacityMap CapacityMap;

    /// The type of the aux graph

    typedef typename Traits::AuxGraph AuxGraph;

    /// The type of the aux capacity map

    typedef typename Traits::AuxCapacityMap AuxCapacityMap;

    /// The type of the aux cut value map

    typedef typename Traits::AuxCutValueMap AuxCutValueMap;

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

    typedef typename Traits::HeapCrossRef HeapCrossRef;

    /// The heap type used by the max cardinality algorithm.

    typedef typename Traits::Heap Heap;

    /// The node refrefernces between the original and aux graph type.

    typedef typename Traits::NodeRefMap NodeRefMap;

    /// The list node refrefernces in the original graph type.

    typedef typename Traits::ListRefMap ListRefMap;

  public:

    ///\name Named template parameters

    ///@{

    struct DefNeutralCapacityTraits : public Traits {

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

      static CapacityMap *createCapacityMap(const Graph&) {

	return new CapacityMap();

      }

    };

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

    /// the capacity type to constMap<UEdge, int, 1>()

    ///

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

    /// the capacity type to constMap<UEdge, int, 1>()

    struct DefNeutralCapacity

      : public NagamochiIbaraki<Graph, CapacityMap, 

                                DefNeutralCapacityTraits> { 

      typedef NagamochiIbaraki<Graph, CapacityMap, 

                               DefNeutralCapacityTraits> Create;

    };

    template <class H, class CR>

    struct DefHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(const AuxGraph &) {

	throw UninitializedParameter();

      }

      static Heap *createHeap(HeapCrossRef &) {

	throw UninitializedParameter();

      }

    };

    /// \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

    template <class H, class CR = typename Graph::template NodeMap<int> >

    struct DefHeap

      : public NagamochiIbaraki<Graph, CapacityMap, 

                                DefHeapTraits<H, CR> > { 

      typedef NagamochiIbaraki< Graph, CapacityMap, 

                                DefHeapTraits<H, CR> > Create;

    };

    template <class H, class CR>

    struct DefStandardHeapTraits : public Traits {

      typedef CR HeapCrossRef;

      typedef H Heap;

      static HeapCrossRef *createHeapCrossRef(const AuxGraph &graph) {

	return new HeapCrossRef(graph);

      }

      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. It can allocate the heap and the cross reference 

    /// object if the cross reference's constructor waits for the graph as 

    /// parameter and the heap's constructor waits for the cross reference.

    template <class H, class CR = typename Graph::template NodeMap<int> >

    struct DefStandardHeap

      : public NagamochiIbaraki<Graph, CapacityMap, 

                                DefStandardHeapTraits<H, CR> > { 

      typedef NagamochiIbaraki<Graph, CapacityMap, 

                               DefStandardHeapTraits<H, CR> > 

      Create;

    };

    ///@}

  private:

    /// Pointer to the underlying graph.

    const Graph *_graph;

    /// Pointer to the capacity map

    const CapacityMap *_capacity;

    /// \brief Indicates if \ref _capacity is locally allocated 

    /// (\c true) or not.

    bool local_capacity;

    /// Pointer to the aux graph.

    AuxGraph *_aux_graph;

    /// \brief Indicates if \ref _aux_graph is locally allocated 

    /// (\c true) or not.