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

 *

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

 *

 * Copyright (C) 2003-2011

 * 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_GOMORY_HU_TREE_H

#define LEMON_GOMORY_HU_TREE_H

#include <limits>

#include <lemon/core.h>

#include <lemon/preflow.h>

#include <lemon/concept_check.h>

#include <lemon/concepts/maps.h>

/// \ingroup min_cut

/// \file

/// \brief Gomory-Hu cut tree in graphs.

namespace lemon {

  /// \ingroup min_cut

  ///

  /// \brief Gomory-Hu cut tree algorithm

  ///

  /// The Gomory-Hu tree is a tree on the node set of a given graph, but it

  /// may contain edges which are not in the original graph. It has the

  /// property that the minimum capacity edge of the path between two nodes

  /// in this tree has the same weight as the minimum cut in the graph

  /// between these nodes. Moreover the components obtained by removing

  /// this edge from the tree determine the corresponding minimum cut.

  /// Therefore once this tree is computed, the minimum cut between any pair

  /// of nodes can easily be obtained.

  ///

  /// The algorithm calculates \e n-1 distinct minimum cuts (currently with

  /// the \ref Preflow algorithm), thus it has \f$O(n^3\sqrt{e})\f$ overall

  /// time complexity. It calculates a rooted Gomory-Hu tree.

  /// The structure of the tree and the edge weights can be

  /// obtained using \c predNode(), \c predValue() and \c rootDist().

  /// The functions \c minCutMap() and \c minCutValue() calculate

  /// the minimum cut and the minimum cut value between any two nodes

  /// in the graph. You can also list (iterate on) the nodes and the

  /// edges of the cuts using \c MinCutNodeIt and \c MinCutEdgeIt.

  ///

  /// \tparam GR The type of the undirected graph the algorithm runs on.

  /// \tparam CAP The type of the edge map containing the capacities.

  /// The default map type is \ref concepts::Graph::EdgeMap "GR::EdgeMap<int>".

#ifdef DOXYGEN

  template <typename GR,

            typename CAP>

#else

  template <typename GR,

            typename CAP = typename GR::template EdgeMap<int> >

#endif

  class GomoryHu {

  public:

    /// The graph type of the algorithm

    typedef GR Graph;

    /// The capacity map type of the algorithm

    typedef CAP Capacity;

    /// The value type of capacities

    typedef typename Capacity::Value Value;

  private:

    TEMPLATE_GRAPH_TYPEDEFS(Graph);

    const Graph& _graph;

    const Capacity& _capacity;

    Node _root;

    typename Graph::template NodeMap<Node>* _pred;

    typename Graph::template NodeMap<Value>* _weight;

    typename Graph::template NodeMap<int>* _order;

    void createStructures() {

      if (!_pred) {

        _pred = new typename Graph::template NodeMap<Node>(_graph);

      }

      if (!_weight) {

        _weight = new typename Graph::template NodeMap<Value>(_graph);

      }

      if (!_order) {

        _order = new typename Graph::template NodeMap<int>(_graph);

      }

    }

    void destroyStructures() {

      if (_pred) {

        delete _pred;

      }

      if (_weight) {

        delete _weight;

      }

      if (_order) {

        delete _order;

      }

    }

  public:

    /// \brief Constructor

    ///

    /// Constructor.

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

    /// \param capacity The edge capacity map.

    GomoryHu(const Graph& graph, const Capacity& capacity)

      : _graph(graph), _capacity(capacity),

        _pred(0), _weight(0), _order(0)

    {

      checkConcept<concepts::ReadMap<Edge, Value>, Capacity>();

    }

    /// \brief Destructor

    ///

    /// Destructor.

    ~GomoryHu() {

      destroyStructures();

    }

  private:

    // Initialize the internal data structures

    void init() {

      createStructures();

      _root = NodeIt(_graph);

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

        (*_pred)[n] = _root;

        (*_order)[n] = -1;

      }

      (*_pred)[_root] = INVALID;

      (*_weight)[_root] = std::numeric_limits<Value>::max();

    }

    // Start the algorithm

    void start() {

      Preflow<Graph, Capacity> fa(_graph, _capacity, _root, INVALID);

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

        if (n == _root) continue;

        Node pn = (*_pred)[n];

        fa.source(n);

        fa.target(pn);

        fa.runMinCut();

        (*_weight)[n] = fa.flowValue();

        for (NodeIt nn(_graph); nn != INVALID; ++nn) {

          if (nn != n && fa.minCut(nn) && (*_pred)[nn] == pn) {

            (*_pred)[nn] = n;

          }

        }

        if ((*_pred)[pn] != INVALID && fa.minCut((*_pred)[pn])) {

          (*_pred)[n] = (*_pred)[pn];

          (*_pred)[pn] = n;

          (*_weight)[n] = (*_weight)[pn];

          (*_weight)[pn] = fa.flowValue();

        }

      }

      (*_order)[_root] = 0;

      int index = 1;

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

        std::vector<Node> st;

        Node nn = n;

        while ((*_order)[nn] == -1) {

          st.push_back(nn);

          nn = (*_pred)[nn];

        }

        while (!st.empty()) {

          (*_order)[st.back()] = index++;

          st.pop_back();

        }

      }

    }

  public:

    ///\name Execution Control

    ///@{

    /// \brief Run the Gomory-Hu algorithm.

    ///

    /// This function runs the Gomory-Hu algorithm.

    void run() {

      init();

      start();

    }

    /// @}

    ///\name Query Functions

    ///The results of the algorithm can be obtained using these

    ///functions.\n

    ///\ref run() should be called before using them.\n

    ///See also \ref MinCutNodeIt and \ref MinCutEdgeIt.

    ///@{

    /// \brief Return the predecessor node in the Gomory-Hu tree.

    ///

    /// This function returns the predecessor node of the given node

    /// in the Gomory-Hu tree.

    /// If \c node is the root of the tree, then it returns \c INVALID.

    ///

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

    Node predNode(const Node& node) const {

      return (*_pred)[node];

    }

    /// \brief Return the weight of the predecessor edge in the

    /// Gomory-Hu tree.

    ///

    /// This function returns the weight of the predecessor edge of the

    /// given node in the Gomory-Hu tree.

    /// If \c node is the root of the tree, the result is undefined.

    ///

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

    Value predValue(const Node& node) const {

      return (*_weight)[node];

    }

    /// \brief Return the distance from the root node in the Gomory-Hu tree.

    ///

    /// This function returns the distance of the given node from the root

    /// node in the Gomory-Hu tree.

    ///

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

    int rootDist(const Node& node) const {

      return (*_order)[node];

    }

    /// \brief Return the minimum cut value between two nodes

    ///

    /// This function returns the minimum cut value between the nodes

    /// \c s and \c t.

    /// It finds the nearest common ancestor of the given nodes in the

    /// Gomory-Hu tree and calculates the minimum weight edge on the

    /// paths to the ancestor.

    ///

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

    Value minCutValue(const Node& s, const Node& t) const {

      Node sn = s, tn = t;

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

      while (sn != tn) {

        if ((*_order)[sn] < (*_order)[tn]) {

          if ((*_weight)[tn] <= value) value = (*_weight)[tn];

          tn = (*_pred)[tn];

        } else {

          if ((*_weight)[sn] <= value) value = (*_weight)[sn];

          sn = (*_pred)[sn];

        }

      }

      return value;

    }

    /// \brief Return the minimum cut between two nodes

    ///

    /// This function returns the minimum cut between the nodes \c s and \c t

    /// in the \c cutMap parameter by setting the nodes in the component of

    /// \c s to \c true and the other nodes to \c false.

    ///

    /// For higher level interfaces see MinCutNodeIt and MinCutEdgeIt.

    ///

    /// \param s The base node.

    /// \param t The node you want to separate from node \c s.

    /// \param cutMap The cut will be returned in this map.

    /// It must be a \c bool (or convertible) \ref concepts::ReadWriteMap

    /// "ReadWriteMap" on the graph nodes.

    ///

    /// \return The value of the minimum cut between \c s and \c t.

    ///

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

    template <typename CutMap>

    Value minCutMap(const Node& s, ///<

                    const Node& t,

                    ///<

                    CutMap& cutMap

                    ///<

                    ) const {

      Node sn = s, tn = t;

      bool s_root=false;

      Node rn = INVALID;

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

      while (sn != tn) {

        if ((*_order)[sn] < (*_order)[tn]) {

          if ((*_weight)[tn] <= value) {

            rn = tn;

            s_root = false;

            value = (*_weight)[tn];

          }

          tn = (*_pred)[tn];

        } else {

          if ((*_weight)[sn] <= value) {

            rn = sn;

            s_root = true;

            value = (*_weight)[sn];

          }

          sn = (*_pred)[sn];

        }

      }

      typename Graph::template NodeMap<bool> reached(_graph, false);

      reached[_root] = true;

      cutMap.set(_root, !s_root);

      reached[rn] = true;

      cutMap.set(rn, s_root);

      std::vector<Node> st;

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

        st.clear();

        Node nn = n;

        while (!reached[nn]) {

          st.push_back(nn);

          nn = (*_pred)[nn];

        }

        while (!st.empty()) {

          cutMap.set(st.back(), cutMap[nn]);

          st.pop_back();

        }

      }

      return value;

    }

    ///@}

    friend class MinCutNodeIt;

    /// Iterate on the nodes of a minimum cut

    /// This iterator class lists the nodes of a minimum cut found by

    /// GomoryHu. Before using it, you must allocate a GomoryHu class

    /// and call its \ref GomoryHu::run() "run()" method.

    ///

    /// This example counts the nodes in the minimum cut separating \c s from

    /// \c t.

    /// \code

    /// GomoruHu<Graph> gom(g, capacities);

    /// gom.run();

    /// int cnt=0;

    /// for(GomoruHu<Graph>::MinCutNodeIt n(gom,s,t); n!=INVALID; ++n) ++cnt;

    /// \endcode

    class MinCutNodeIt

    {

      bool _side;

      typename Graph::NodeIt _node_it;

      typename Graph::template NodeMap<bool> _cut;

    public:

      /// Constructor

      /// Constructor.

      ///

      MinCutNodeIt(GomoryHu const &gomory,

                   ///< The GomoryHu class. You must call its

                   ///  run() method

                   ///  before initializing this iterator.

                   const Node& s, ///< The base node.

                   const Node& t,

                   ///< The node you want to separate from node \c s.

                   bool side=true

                   ///< If it is \c true (default) then the iterator lists

                   ///  the nodes of the component containing \c s,

                   ///  otherwise it lists the other component.

                   /// \note As the minimum cut is not always unique,

                   /// \code

                   /// MinCutNodeIt(gomory, s, t, true);

                   /// \endcode

                   /// and

                   /// \code

                   /// MinCutNodeIt(gomory, t, s, false);

                   /// \endcode

                   /// does not necessarily give the same set of nodes.

                   /// However it is ensured that

                   /// \code

                   /// MinCutNodeIt(gomory, s, t, true);

                   /// \endcode

                   /// and

                   /// \code

                   /// MinCutNodeIt(gomory, s, t, false);

                   /// \endcode

                   /// together list each node exactly once.

                   )

        : _side(side), _cut(gomory._graph)

      {

        gomory.minCutMap(s,t,_cut);

        for(_node_it=typename Graph::NodeIt(gomory._graph);

            _node_it!=INVALID && _cut[_node_it]!=_side;

            ++_node_it) {}

      }

      /// Conversion to \c Node

      /// Conversion to \c Node.

      ///

      operator typename Graph::Node() const

      {

        return _node_it;

      }

      bool operator==(Invalid) { return _node_it==INVALID; }

      bool operator!=(Invalid) { return _node_it!=INVALID; }

      /// Next node

      /// Next node.

      ///

      MinCutNodeIt &operator++()

      {

        for(++_node_it;_node_it!=INVALID&&_cut[_node_it]!=_side;++_node_it) {}

        return *this;

      }

      /// Postfix incrementation

      /// Postfix incrementation.

      ///

      /// \warning This incrementation

      /// returns a \c Node, not a \c MinCutNodeIt, as one may

      /// expect.

      typename Graph::Node operator++(int)

      {

        typename Graph::Node n=*this;

        ++(*this);

        return n;

      }

    };

    friend class MinCutEdgeIt;

    /// Iterate on the edges of a minimum cut

    /// This iterator class lists the edges of a minimum cut found by

    /// GomoryHu. Before using it, you must allocate a GomoryHu class

    /// and call its \ref GomoryHu::run() "run()" method.

    ///

    /// This example computes the value of the minimum cut separating \c s from

    /// \c t.

    /// \code

    /// GomoruHu<Graph> gom(g, capacities);

    /// gom.run();

    /// int value=0;

    /// for(GomoruHu<Graph>::MinCutEdgeIt e(gom,s,t); e!=INVALID; ++e)

    ///   value+=capacities[e];

    /// \endcode

    /// The result will be the same as the value returned by

    /// \ref GomoryHu::minCutValue() "gom.minCutValue(s,t)".

    class MinCutEdgeIt

    {

      bool _side;

      const Graph &_graph;

      typename Graph::NodeIt _node_it;

      typename Graph::OutArcIt _arc_it;

      typename Graph::template NodeMap<bool> _cut;

      void step()

      {

        ++_arc_it;

        while(_node_it!=INVALID && _arc_it==INVALID)

          {

            for(++_node_it;_node_it!=INVALID&&!_cut[_node_it];++_node_it) {}

            if(_node_it!=INVALID)

              _arc_it=typename Graph::OutArcIt(_graph,_node_it);

          }

      }

    public:

      /// Constructor

      /// Constructor.

      ///

      MinCutEdgeIt(GomoryHu const &gomory,

                   ///< The GomoryHu class. You must call its

                   ///  run() method

                   ///  before initializing this iterator.

                   const Node& s,  ///< The base node.

                   const Node& t,

                   ///< The node you want to separate from node \c s.

                   bool side=true

                   ///< If it is \c true (default) then the listed arcs

                   ///  will be oriented from the

                   ///  nodes of the component containing \c s,

                   ///  otherwise they will be oriented in the opposite

                   ///  direction.

                   )

        : _graph(gomory._graph), _cut(_graph)

      {

        gomory.minCutMap(s,t,_cut);

        if(!side)

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

            _cut[n]=!_cut[n];

        for(_node_it=typename Graph::NodeIt(_graph);

            _node_it!=INVALID && !_cut[_node_it];

            ++_node_it) {}

        _arc_it = _node_it!=INVALID ?

          typename Graph::OutArcIt(_graph,_node_it) : INVALID;

        while(_node_it!=INVALID && _arc_it == INVALID)

          {

            for(++_node_it; _node_it!=INVALID&&!_cut[_node_it]; ++_node_it) {}

            if(_node_it!=INVALID)

              _arc_it= typename Graph::OutArcIt(_graph,_node_it);

          }

        while(_arc_it!=INVALID && _cut[_graph.target(_arc_it)]) step();

      }

      /// Conversion to \c Arc

      /// Conversion to \c Arc.

      ///

      operator typename Graph::Arc() const

      {

        return _arc_it;

      }

      /// Conversion to \c Edge

      /// Conversion to \c Edge.

      ///

      operator typename Graph::Edge() const

      {

        return _arc_it;

      }

      bool operator==(Invalid) { return _node_it==INVALID; }

      bool operator!=(Invalid) { return _node_it!=INVALID; }

      /// Next edge

      /// Next edge.

      ///

      MinCutEdgeIt &operator++()

      {

        step();

        while(_arc_it!=INVALID && _cut[_graph.target(_arc_it)]) step();

        return *this;

      }

      /// Postfix incrementation

      /// Postfix incrementation.

      ///

      /// \warning This incrementation

      /// returns an \c Arc, not a \c MinCutEdgeIt, as one may expect.

      typename Graph::Arc operator++(int)

      {

        typename Graph::Arc e=*this;

        ++(*this);

        return e;

      }

    };

  };

}

#endif