source: lemon-0.x/lemon/graph_adaptor.h @ 1523:144ab0e4b09c

/* -*- C++ -*-
 * lemon/graph_adaptor.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_GRAPH_ADAPTOR_H
#define LEMON_GRAPH_ADAPTOR_H

///\ingroup graph_adaptors
///\file
///\brief Several graph adaptors.
///
///This file contains several useful graph adaptor functions.
///
///\author Marton Makai

#include <lemon/invalid.h>
#include <lemon/maps.h>
#include <lemon/bits/erasable_graph_extender.h>
#include <lemon/bits/clearable_graph_extender.h>
#include <lemon/bits/extendable_graph_extender.h>
#include <lemon/bits/iterable_graph_extender.h>
#include <lemon/bits/alteration_notifier.h>
#include <lemon/bits/default_map.h>
#include <lemon/bits/undir_graph_extender.h>
#include <iostream>

namespace lemon {

  // Graph adaptors

  /*!
    \addtogroup graph_adaptors
    @{
   */

  /*! 
    Base type for the Graph Adaptors
    
    \warning Graph adaptors are in even more experimental state than the other
    parts of the lib. Use them at you own risk.
    
    This is the base type for most of LEMON graph adaptors. 
    This class implements a trivial graph adaptor i.e. it only wraps the 
    functions and types of the graph. The purpose of this class is to 
    make easier implementing graph adaptors. E.g. if an adaptor is 
    considered which differs from the wrapped graph only in some of its 
    functions or types, then it can be derived from GraphAdaptor, and only the 
    differences should be implemented.
  
    \author Marton Makai 
  */
  template<typename _Graph>
  class GraphAdaptorBase {
  public:
    typedef _Graph Graph;
    /// \todo Is it needed?
    typedef Graph BaseGraph;
    typedef Graph ParentGraph;

  protected:
    Graph* graph;
    GraphAdaptorBase() : graph(0) { }
    void setGraph(Graph& _graph) { graph=&_graph; }

  public:
    GraphAdaptorBase(Graph& _graph) : graph(&_graph) { }
 
    typedef typename Graph::Node Node;
    typedef typename Graph::Edge Edge;
   
    void first(Node& i) const { graph->first(i); }
    void first(Edge& i) const { graph->first(i); }
    void firstIn(Edge& i, const Node& n) const { graph->firstIn(i, n); }
    void firstOut(Edge& i, const Node& n ) const { graph->firstOut(i, n); }

    void next(Node& i) const { graph->next(i); }
    void next(Edge& i) const { graph->next(i); }
    void nextIn(Edge& i) const { graph->nextIn(i); }
    void nextOut(Edge& i) const { graph->nextOut(i); }

    Node source(const Edge& e) const { return graph->source(e); }
    Node target(const Edge& e) const { return graph->target(e); }

    int nodeNum() const { return graph->nodeNum(); }
    int edgeNum() const { return graph->edgeNum(); }
  
    Node addNode() const { return Node(graph->addNode()); }
    Edge addEdge(const Node& source, const Node& target) const { 
      return Edge(graph->addEdge(source, target)); }

    void erase(const Node& i) const { graph->erase(i); }
    void erase(const Edge& i) const { graph->erase(i); }
  
    void clear() const { graph->clear(); }
    
    bool forward(const Edge& e) const { return graph->forward(e); }
    bool backward(const Edge& e) const { return graph->backward(e); }

    int id(const Node& v) const { return graph->id(v); }
    int id(const Edge& e) const { return graph->id(e); }
    
    Edge opposite(const Edge& e) const { return Edge(graph->opposite(e)); }

    template <typename _Value>
    class NodeMap : public _Graph::template NodeMap<_Value> {
    public:
      typedef typename _Graph::template NodeMap<_Value> Parent;
      NodeMap(const GraphAdaptorBase<_Graph>& gw) : Parent(*gw.graph) { }
      NodeMap(const GraphAdaptorBase<_Graph>& gw, const _Value& value)
      : Parent(*gw.graph, value) { }
    };

    template <typename _Value>
    class EdgeMap : public _Graph::template EdgeMap<_Value> {
    public:
      typedef typename _Graph::template EdgeMap<_Value> Parent;
      EdgeMap(const GraphAdaptorBase<_Graph>& gw) : Parent(*gw.graph) { }
      EdgeMap(const GraphAdaptorBase<_Graph>& gw, const _Value& value)
      : Parent(*gw.graph, value) { }
    };

  };

  template <typename _Graph>
  class GraphAdaptor :
    public IterableGraphExtender<GraphAdaptorBase<_Graph> > { 
  public:
    typedef _Graph Graph;
    typedef IterableGraphExtender<GraphAdaptorBase<_Graph> > Parent;
  protected:
    GraphAdaptor() : Parent() { }

  public:
    GraphAdaptor(Graph& _graph) { setGraph(_graph); }
  };

  template <typename _Graph>
  class RevGraphAdaptorBase : public GraphAdaptorBase<_Graph> {
  public:
    typedef _Graph Graph;
    typedef GraphAdaptorBase<_Graph> Parent;
  protected:
    RevGraphAdaptorBase() : Parent() { }
  public:
    typedef typename Parent::Node Node;
    typedef typename Parent::Edge Edge;

    //    using Parent::first;
    void firstIn(Edge& i, const Node& n) const { Parent::firstOut(i, n); }
    void firstOut(Edge& i, const Node& n ) const { Parent::firstIn(i, n); }

    //    using Parent::next;
    void nextIn(Edge& i) const { Parent::nextOut(i); }
    void nextOut(Edge& i) const { Parent::nextIn(i); }

    Node source(const Edge& e) const { return Parent::target(e); }
    Node target(const Edge& e) const { return Parent::source(e); }
  };
    

  /// A graph adaptor which reverses the orientation of the edges.

  ///\warning Graph adaptors are in even more experimental state than the other
  ///parts of the lib. Use them at you own risk.
  ///
  /// Let \f$G=(V, A)\f$ be a directed graph and 
  /// suppose that a graph instange \c g of type 
  /// \c ListGraph implements \f$G\f$.
  /// \code
  /// ListGraph g;
  /// \endcode
  /// For each directed edge 
  /// \f$e\in A\f$, let \f$\bar e\f$ denote the edge obtained by 
  /// reversing its orientation. 
  /// Then RevGraphAdaptor implements the graph structure with node-set 
  /// \f$V\f$ and edge-set 
  /// \f$\{\bar e : e\in A \}\f$, i.e. the graph obtained from \f$G\f$ be 
  /// reversing the orientation of its edges. The following code shows how 
  /// such an instance can be constructed.
  /// \code
  /// RevGraphAdaptor<ListGraph> gw(g);
  /// \endcode
  ///\author Marton Makai
  template<typename _Graph>
  class RevGraphAdaptor : 
    public IterableGraphExtender<RevGraphAdaptorBase<_Graph> > {
  public:
    typedef _Graph Graph;
    typedef IterableGraphExtender<
      RevGraphAdaptorBase<_Graph> > Parent;
  protected:
    RevGraphAdaptor() { }
  public:
    RevGraphAdaptor(_Graph& _graph) { setGraph(_graph); }
  };

  
  template <typename _Graph, typename NodeFilterMap, typename EdgeFilterMap>
  class SubGraphAdaptorBase : public GraphAdaptorBase<_Graph> {
  public:
    typedef _Graph Graph;
    typedef GraphAdaptorBase<_Graph> Parent;
  protected:
    NodeFilterMap* node_filter_map;
    EdgeFilterMap* edge_filter_map;
    SubGraphAdaptorBase() : Parent(), 
                            node_filter_map(0), edge_filter_map(0) { }

    void setNodeFilterMap(NodeFilterMap& _node_filter_map) {
      node_filter_map=&_node_filter_map;
    }
    void setEdgeFilterMap(EdgeFilterMap& _edge_filter_map) {
      edge_filter_map=&_edge_filter_map;
    }

  public:
//     SubGraphAdaptorBase(Graph& _graph, 
//                      NodeFilterMap& _node_filter_map, 
//                      EdgeFilterMap& _edge_filter_map) : 
//       Parent(&_graph), 
//       node_filter_map(&node_filter_map), 
//       edge_filter_map(&edge_filter_map) { }

    typedef typename Parent::Node Node;
    typedef typename Parent::Edge Edge;

    void first(Node& i) const { 
      Parent::first(i); 
      while (i!=INVALID && !(*node_filter_map)[i]) Parent::next(i); 
    }
    void first(Edge& i) const { 
      Parent::first(i); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::next(i); 
    }
    void firstIn(Edge& i, const Node& n) const { 
      Parent::firstIn(i, n); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::nextIn(i); 
    }
    void firstOut(Edge& i, const Node& n) const { 
      Parent::firstOut(i, n); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::nextOut(i); 
    }

    void next(Node& i) const { 
      Parent::next(i); 
      while (i!=INVALID && !(*node_filter_map)[i]) Parent::next(i); 
    }
    void next(Edge& i) const { 
      Parent::next(i); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::next(i); 
    }
    void nextIn(Edge& i) const { 
      Parent::nextIn(i); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::nextIn(i); 
    }
    void nextOut(Edge& i) const { 
      Parent::nextOut(i); 
      while (i!=INVALID && !(*edge_filter_map)[i]) Parent::nextOut(i); 
    }

    /// This function hides \c n in the graph, i.e. the iteration 
    /// jumps over it. This is done by simply setting the value of \c n  
    /// to be false in the corresponding node-map.
    void hide(const Node& n) const { node_filter_map->set(n, false); }

    /// This function hides \c e in the graph, i.e. the iteration 
    /// jumps over it. This is done by simply setting the value of \c e  
    /// to be false in the corresponding edge-map.
    void hide(const Edge& e) const { edge_filter_map->set(e, false); }

    /// The value of \c n is set to be true in the node-map which stores 
    /// hide information. If \c n was hidden previuosly, then it is shown 
    /// again
     void unHide(const Node& n) const { node_filter_map->set(n, true); }

    /// The value of \c e is set to be true in the edge-map which stores 
    /// hide information. If \c e was hidden previuosly, then it is shown 
    /// again
    void unHide(const Edge& e) const { edge_filter_map->set(e, true); }

    /// Returns true if \c n is hidden.
    bool hidden(const Node& n) const { return !(*node_filter_map)[n]; }

    /// Returns true if \c n is hidden.
    bool hidden(const Edge& e) const { return !(*edge_filter_map)[e]; }

    /// \warning This is a linear time operation and works only if s
    /// \c Graph::NodeIt is defined.
    /// \todo assign tags.
    int nodeNum() const { 
      int i=0;
      Node n;
      for (first(n); n!=INVALID; next(n)) ++i;
      return i; 
    }

    /// \warning This is a linear time operation and works only if 
    /// \c Graph::EdgeIt is defined.
    /// \todo assign tags.
    int edgeNum() const { 
      int i=0;
      Edge e;
      for (first(e); e!=INVALID; next(e)) ++i;
      return i; 
    }


  };

  /*! \brief A graph adaptor for hiding nodes and edges from a graph.
    
  \warning Graph adaptors are in even more experimental state than the other
  parts of the lib. Use them at you own risk.
  
  SubGraphAdaptor shows the graph with filtered node-set and 
  edge-set. 
  Let \f$G=(V, A)\f$ be a directed graph 
  and suppose that the graph instance \c g of type ListGraph implements 
  \f$G\f$. 
  Let moreover \f$b_V\f$ and 
  \f$b_A\f$ be bool-valued functions resp. on the node-set and edge-set. 
  SubGraphAdaptor<...>::NodeIt iterates 
  on the node-set \f$\{v\in V : b_V(v)=true\}\f$ and 
  SubGraphAdaptor<...>::EdgeIt iterates 
  on the edge-set \f$\{e\in A : b_A(e)=true\}\f$. Similarly, 
  SubGraphAdaptor<...>::OutEdgeIt and SubGraphAdaptor<...>::InEdgeIt iterates 
  only on edges leaving and entering a specific node which have true value.

  We have to note that this does not mean that an 
  induced subgraph is obtained, the node-iterator cares only the filter 
  on the node-set, and the edge-iterators care only the filter on the 
  edge-set. 
  \code
  typedef ListGraph Graph;
  Graph g;
  typedef Graph::Node Node;
  typedef Graph::Edge Edge;
  Node u=g.addNode(); //node of id 0
  Node v=g.addNode(); //node of id 1
  Node e=g.addEdge(u, v); //edge of id 0
  Node f=g.addEdge(v, u); //edge of id 1
  Graph::NodeMap<bool> nm(g, true);
  nm.set(u, false);
  Graph::EdgeMap<bool> em(g, true);
  em.set(e, false);
  typedef SubGraphAdaptor<Graph, Graph::NodeMap<bool>, Graph::EdgeMap<bool> > SubGW;
  SubGW gw(g, nm, em);
  for (SubGW::NodeIt n(gw); n!=INVALID; ++n) std::cout << g.id(n) << std::endl;
  std::cout << ":-)" << std::endl;
  for (SubGW::EdgeIt e(gw); e!=INVALID; ++e) std::cout << g.id(e) << std::endl;
  \endcode
  The output of the above code is the following.
  \code
  1
  :-)
  1
  \endcode
  Note that \c n is of type \c SubGW::NodeIt, but it can be converted to
  \c Graph::Node that is why \c g.id(n) can be applied.

  For other examples see also the documentation of NodeSubGraphAdaptor and 
  EdgeSubGraphAdaptor.

  \author Marton Makai
  */
  template<typename _Graph, typename NodeFilterMap, 
           typename EdgeFilterMap>
  class SubGraphAdaptor : 
    public IterableGraphExtender<
    SubGraphAdaptorBase<_Graph, NodeFilterMap, EdgeFilterMap> > {
  public:
    typedef _Graph Graph;
    typedef IterableGraphExtender<
      SubGraphAdaptorBase<_Graph, NodeFilterMap, EdgeFilterMap> > Parent;
  protected:
    SubGraphAdaptor() { }
  public:
    SubGraphAdaptor(_Graph& _graph, NodeFilterMap& _node_filter_map, 
                    EdgeFilterMap& _edge_filter_map) { 
      setGraph(_graph);
      setNodeFilterMap(_node_filter_map);
      setEdgeFilterMap(_edge_filter_map);
    }
  };



  /*! \brief An adaptor for hiding nodes from a graph.

  \warning Graph adaptors are in even more experimental state than the other
  parts of the lib. Use them at you own risk.
  
  An adaptor for hiding nodes from a graph.
  This adaptor specializes SubGraphAdaptor in the way that only the node-set 
  can be filtered. Note that this does not mean of considering induced 
  subgraph, the edge-iterators consider the original edge-set.
  \author Marton Makai
  */
  template<typename Graph, typename NodeFilterMap>
  class NodeSubGraphAdaptor : 
    public SubGraphAdaptor<Graph, NodeFilterMap, 
                           ConstMap<typename Graph::Edge,bool> > {
  public:
    typedef SubGraphAdaptor<Graph, NodeFilterMap, 
                            ConstMap<typename Graph::Edge,bool> > Parent;
  protected:
    ConstMap<typename Graph::Edge, bool> const_true_map;
  public:
    NodeSubGraphAdaptor(Graph& _graph, NodeFilterMap& _node_filter_map) : 
      Parent(), const_true_map(true) { 
      Parent::setGraph(_graph);
      Parent::setNodeFilterMap(_node_filter_map);
      Parent::setEdgeFilterMap(const_true_map);
    }
  };


  /*! \brief An adaptor for hiding edges from a graph.

  \warning Graph adaptors are in even more experimental state than the other
  parts of the lib. Use them at you own risk.
  
  An adaptor for hiding edges from a graph.
  This adaptor specializes SubGraphAdaptor in the way that only the edge-set 
  can be filtered. The usefulness of this adaptor is demonstrated in the 
  problem of searching a maximum number of edge-disjoint shortest paths 
  between 
  two nodes \c s and \c t. Shortest here means being shortest w.r.t. 
  non-negative edge-lengths. Note that 
  the comprehension of the presented solution 
  need's some elementary knowledge from combinatorial optimization. 

  If a single shortest path is to be 
  searched between \c s and \c t, then this can be done easily by 
  applying the Dijkstra algorithm. What happens, if a maximum number of 
  edge-disjoint shortest paths is to be computed. It can be proved that an 
  edge can be in a shortest path if and only if it is tight with respect to 
  the potential function computed by Dijkstra. Moreover, any path containing 
  only such edges is a shortest one. Thus we have to compute a maximum number 
  of edge-disjoint paths between \c s and \c t in the graph which has edge-set 
  all the tight edges. The computation will be demonstrated on the following 
  graph, which is read from the dimacs file \ref sub_graph_adaptor_demo.dim. 
  The full source code is available in \ref sub_graph_adaptor_demo.cc. 
  If you are interested in more demo programs, you can use 
  \ref dim_to_dot.cc to generate .dot files from dimacs files. 
  The .dot file of the following figure of was generated generated by  
  the demo program \ref dim_to_dot.cc.

  \dot
  digraph lemon_dot_example {
  node [ shape=ellipse, fontname=Helvetica, fontsize=10 ];
  n0 [ label="0 (s)" ];
  n1 [ label="1" ];
  n2 [ label="2" ];
  n3 [ label="3" ];
  n4 [ label="4" ];
  n5 [ label="5" ];
  n6 [ label="6 (t)" ];
  edge [ shape=ellipse, fontname=Helvetica, fontsize=10 ];
  n5 ->  n6 [ label="9, length:4" ];
  n4 ->  n6 [ label="8, length:2" ];
  n3 ->  n5 [ label="7, length:1" ];
  n2 ->  n5 [ label="6, length:3" ];
  n2 ->  n6 [ label="5, length:5" ];
  n2 ->  n4 [ label="4, length:2" ];
  n1 ->  n4 [ label="3, length:3" ];
  n0 ->  n3 [ label="2, length:1" ];
  n0 ->  n2 [ label="1, length:2" ];
  n0 ->  n1 [ label="0, length:3" ];
  }
  \enddot

  \code
  Graph g;
  Node s, t;
  LengthMap length(g);

  readDimacs(std::cin, g, length, s, t);

  cout << "edges with lengths (of form id, source--length->target): " << endl;
  for(EdgeIt e(g); e!=INVALID; ++e) 
    cout << g.id(e) << ", " << g.id(g.source(e)) << "--" 
         << length[e] << "->" << g.id(g.target(e)) << endl;

  cout << "s: " << g.id(s) << " t: " << g.id(t) << endl;
  \endcode
  Next, the potential function is computed with Dijkstra.
  \code
  typedef Dijkstra<Graph, LengthMap> Dijkstra;
  Dijkstra dijkstra(g, length);
  dijkstra.run(s);
  \endcode
  Next, we consrtruct a map which filters the edge-set to the tight edges.
  \code
  typedef TightEdgeFilterMap<Graph, const Dijkstra::DistMap, LengthMap> 
    TightEdgeFilter;
  TightEdgeFilter tight_edge_filter(g, dijkstra.distMap(), length);
  
  typedef EdgeSubGraphAdaptor<Graph, TightEdgeFilter> SubGW;
  SubGW gw(g, tight_edge_filter);
  \endcode
  Then, the maximum nimber of edge-disjoint \c s-\c t paths are computed 
  with a max flow algorithm Preflow.
  \code
  ConstMap<Edge, int> const_1_map(1);
  Graph::EdgeMap<int> flow(g, 0);

  Preflow<SubGW, int, ConstMap<Edge, int>, Graph::EdgeMap<int> > 
    preflow(gw, s, t, const_1_map, flow);
  preflow.run();
  \endcode
  Last, the output is:
  \code  
  cout << "maximum number of edge-disjoint shortest path: " 
       << preflow.flowValue() << endl;
  cout << "edges of the maximum number of edge-disjoint shortest s-t paths: " 
       << endl;
  for(EdgeIt e(g); e!=INVALID; ++e) 
    if (flow[e])
      cout << " " << g.id(g.source(e)) << "--" 
           << length[e] << "->" << g.id(g.target(e)) << endl;
  \endcode
  The program has the following (expected :-)) output:
  \code
  edges with lengths (of form id, source--length->target):
   9, 5--4->6
   8, 4--2->6
   7, 3--1->5
   6, 2--3->5
   5, 2--5->6
   4, 2--2->4
   3, 1--3->4
   2, 0--1->3
   1, 0--2->2
   0, 0--3->1
  s: 0 t: 6
  maximum number of edge-disjoint shortest path: 2
  edges of the maximum number of edge-disjoint shortest s-t paths:
   9, 5--4->6
   8, 4--2->6
   7, 3--1->5
   4, 2--2->4
   2, 0--1->3
   1, 0--2->2
  \endcode

  \author Marton Makai
  */
  template<typename Graph, typename EdgeFilterMap>
  class EdgeSubGraphAdaptor : 
    public SubGraphAdaptor<Graph, ConstMap<typename Graph::Node,bool>, 
                           EdgeFilterMap> {
  public:
    typedef SubGraphAdaptor<Graph, ConstMap<typename Graph::Node,bool>, 
                            EdgeFilterMap> Parent;
  protected:
    ConstMap<typename Graph::Node, bool> const_true_map;
  public:
    EdgeSubGraphAdaptor(Graph& _graph, EdgeFilterMap& _edge_filter_map) : 
      Parent(), const_true_map(true) { 
      Parent::setGraph(_graph);
      Parent::setNodeFilterMap(const_true_map);
      Parent::setEdgeFilterMap(_edge_filter_map);
    }
  };

  template <typename _Graph>
  class UndirGraphAdaptorBase : 
    public UndirGraphExtender<GraphAdaptorBase<_Graph> > {
  public:
    typedef _Graph Graph;
    typedef UndirGraphExtender<GraphAdaptorBase<_Graph> > Parent;
  protected:
    UndirGraphAdaptorBase() : Parent() { }
  public:
    typedef typename Parent::UndirEdge UndirEdge;
    typedef typename Parent::Edge Edge;
    
    /// \bug Why cant an edge say that it is forward or not??? 
    /// By this, a pointer to the graph have to be stored
    /// The implementation
    template <typename T>
    class EdgeMap {
    protected:
      const UndirGraphAdaptorBase<_Graph>* g;
      template <typename TT> friend class EdgeMap;
      typename _Graph::template EdgeMap<T> forward_map, backward_map; 
    public:
      typedef T Value;
      typedef Edge Key;
      
      EdgeMap(const UndirGraphAdaptorBase<_Graph>& _g) : g(&_g), 
        forward_map(*(g->graph)), backward_map(*(g->graph)) { }

      EdgeMap(const UndirGraphAdaptorBase<_Graph>& _g, T a) : g(&_g), 
        forward_map(*(g->graph), a), backward_map(*(g->graph), a) { }
      
      void set(Edge e, T a) { 
        if (g->forward(e)) 
          forward_map.set(e, a); 
        else 
          backward_map.set(e, a); 
      }

      T operator[](Edge e) const { 
        if (g->forward(e)) 
          return forward_map[e]; 
        else 
          return backward_map[e]; 
      }
    };
        
    template <typename T>
    class UndirEdgeMap {
      template <typename TT> friend class UndirEdgeMap;
      typename _Graph::template EdgeMap<T> map; 
    public:
      typedef T Value;
      typedef UndirEdge Key;
      
      UndirEdgeMap(const UndirGraphAdaptorBase<_Graph>& g) : 
        map(*(g.graph)) { }

      UndirEdgeMap(const UndirGraphAdaptorBase<_Graph>& g, T a) : 
        map(*(g.graph), a) { }
      
      void set(UndirEdge e, T a) { 
        map.set(e, a); 
      }

      T operator[](UndirEdge e) const { 
        return map[e]; 
      }
    };
      
  };

  /// \brief An undirected graph is made from a directed graph by an adaptor
  ///
  /// Undocumented, untested!!!
  /// If somebody knows nice demo application, let's polulate it.
  /// 
  /// \author Marton Makai
  template<typename _Graph>
  class UndirGraphAdaptor : 
    public IterableUndirGraphExtender<
    UndirGraphAdaptorBase<_Graph> > {
  public:
    typedef _Graph Graph;
    typedef IterableUndirGraphExtender<
      UndirGraphAdaptorBase<_Graph> > Parent;
  protected:
    UndirGraphAdaptor() { }
  public:
    UndirGraphAdaptor(_Graph& _graph) { 
      setGraph(_graph);
    }
  };

  
  template <typename _Graph, 
            typename ForwardFilterMap, typename BackwardFilterMap>
  class SubBidirGraphAdaptorBase : public GraphAdaptorBase<_Graph> {
  public:
    typedef _Graph Graph;
    typedef GraphAdaptorBase<_Graph> Parent;
  protected:
    ForwardFilterMap* forward_filter;
    BackwardFilterMap* backward_filter;
    SubBidirGraphAdaptorBase() : Parent(), 
                                 forward_filter(0), backward_filter(0) { }

    void setForwardFilterMap(ForwardFilterMap& _forward_filter) {
      forward_filter=&_forward_filter;
    }
    void setBackwardFilterMap(BackwardFilterMap& _backward_filter) {
      backward_filter=&_backward_filter;
    }

  public:
//     SubGraphAdaptorBase(Graph& _graph, 
//                      NodeFilterMap& _node_filter_map, 
//                      EdgeFilterMap& _edge_filter_map) : 
//       Parent(&_graph), 
//       node_filter_map(&node_filter_map), 
//       edge_filter_map(&edge_filter_map) { }

    typedef typename Parent::Node Node;
    typedef typename _Graph::Edge GraphEdge;
    template <typename T> class EdgeMap;
    /// SubBidirGraphAdaptorBase<..., ..., ...>::Edge is inherited from 
    /// _Graph::Edge. It contains an extra bool flag which is true 
    /// if and only if the 
    /// edge is the backward version of the original edge.
    class Edge : public _Graph::Edge {
      friend class SubBidirGraphAdaptorBase<
        Graph, ForwardFilterMap, BackwardFilterMap>;
      template<typename T> friend class EdgeMap;
    protected:
      bool backward; //true, iff backward
    public:
      Edge() { }
      /// \todo =false is needed, or causes problems?
      /// If \c _backward is false, then we get an edge corresponding to the 
      /// original one, otherwise its oppositely directed pair is obtained.
      Edge(const typename _Graph::Edge& e, bool _backward/*=false*/) : 
        _Graph::Edge(e), backward(_backward) { }
      Edge(Invalid i) : _Graph::Edge(i), backward(true) { }
      bool operator==(const Edge& v) const { 
        return (this->backward==v.backward && 
                static_cast<typename _Graph::Edge>(*this)==
                static_cast<typename _Graph::Edge>(v));
      } 
      bool operator!=(const Edge& v) const { 
        return (this->backward!=v.backward || 
                static_cast<typename _Graph::Edge>(*this)!=
                static_cast<typename _Graph::Edge>(v));
      }
    };

    void first(Node& i) const { 
      Parent::first(i); 
    }

    void first(Edge& i) const { 
      Parent::first(i); 
      i.backward=false;
      while (*static_cast<GraphEdge*>(&i)!=INVALID && 
             !(*forward_filter)[i]) Parent::next(i);
      if (*static_cast<GraphEdge*>(&i)==INVALID) {
        Parent::first(i); 
        i.backward=true;
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::next(i);
      }
    }

    void firstIn(Edge& i, const Node& n) const { 
      Parent::firstIn(i, n); 
      i.backward=false;
      while (*static_cast<GraphEdge*>(&i)!=INVALID && 
             !(*forward_filter)[i]) Parent::nextIn(i);
      if (*static_cast<GraphEdge*>(&i)==INVALID) {
        Parent::firstOut(i, n); 
        i.backward=true;
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::nextOut(i);
      }
    }

    void firstOut(Edge& i, const Node& n) const { 
      Parent::firstOut(i, n); 
      i.backward=false;
      while (*static_cast<GraphEdge*>(&i)!=INVALID && 
             !(*forward_filter)[i]) Parent::nextOut(i);
      if (*static_cast<GraphEdge*>(&i)==INVALID) {
        Parent::firstIn(i, n); 
        i.backward=true;
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::nextIn(i);
      }
    }

    void next(Node& i) const { 
      Parent::next(i); 
    }

    void next(Edge& i) const { 
      if (!(i.backward)) {
        Parent::next(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*forward_filter)[i]) Parent::next(i);
        if (*static_cast<GraphEdge*>(&i)==INVALID) {
          Parent::first(i); 
          i.backward=true;
          while (*static_cast<GraphEdge*>(&i)!=INVALID && 
                 !(*backward_filter)[i]) Parent::next(i);
        }
      } else {
        Parent::next(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::next(i);
      }
    }

    void nextIn(Edge& i) const { 
      if (!(i.backward)) {
        Node n=Parent::target(i);
        Parent::nextIn(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*forward_filter)[i]) Parent::nextIn(i);
        if (*static_cast<GraphEdge*>(&i)==INVALID) {
          Parent::firstOut(i, n); 
          i.backward=true;
          while (*static_cast<GraphEdge*>(&i)!=INVALID && 
                 !(*backward_filter)[i]) Parent::nextOut(i);
        }
      } else {
        Parent::nextOut(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::nextOut(i);
      }
    }

    void nextOut(Edge& i) const { 
      if (!(i.backward)) {
        Node n=Parent::source(i);
        Parent::nextOut(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*forward_filter)[i]) Parent::nextOut(i);
        if (*static_cast<GraphEdge*>(&i)==INVALID) {
          Parent::firstIn(i, n); 
          i.backward=true;
          while (*static_cast<GraphEdge*>(&i)!=INVALID && 
                 !(*backward_filter)[i]) Parent::nextIn(i);
        }
      } else {
        Parent::nextIn(i);
        while (*static_cast<GraphEdge*>(&i)!=INVALID && 
               !(*backward_filter)[i]) Parent::nextIn(i);
      }
    }

    Node source(Edge e) const { 
      return ((!e.backward) ? this->graph->source(e) : this->graph->target(e)); }
    Node target(Edge e) const { 
      return ((!e.backward) ? this->graph->target(e) : this->graph->source(e)); }

    /// Gives back the opposite edge.
    Edge opposite(const Edge& e) const { 
      Edge f=e;
      f.backward=!f.backward;
      return f;
    }

    /// \warning This is a linear time operation and works only if 
    /// \c Graph::EdgeIt is defined.
    /// \todo hmm
    int edgeNum() const { 
      int i=0;
      Edge e;
      for (first(e); e!=INVALID; next(e)) ++i;
      return i; 
    }

    bool forward(const Edge& e) const { return !e.backward; }
    bool backward(const Edge& e) const { return e.backward; }

    template <typename T>
    /// \c SubBidirGraphAdaptorBase<..., ..., ...>::EdgeMap contains two 
    /// _Graph::EdgeMap one for the forward edges and 
    /// one for the backward edges.
    class EdgeMap {
      template <typename TT> friend class EdgeMap;
      typename _Graph::template EdgeMap<T> forward_map, backward_map; 
    public:
      typedef T Value;
      typedef Edge Key;

      EdgeMap(const SubBidirGraphAdaptorBase<_Graph, 
              ForwardFilterMap, BackwardFilterMap>& g) : 
        forward_map(*(g.graph)), backward_map(*(g.graph)) { }

      EdgeMap(const SubBidirGraphAdaptorBase<_Graph, 
              ForwardFilterMap, BackwardFilterMap>& g, T a) : 
        forward_map(*(g.graph), a), backward_map(*(g.graph), a) { }
      
      void set(Edge e, T a) { 
        if (!e.backward) 
          forward_map.set(e, a); 
        else 
          backward_map.set(e, a); 
      }

//       typename _Graph::template EdgeMap<T>::ConstReference 
//       operator[](Edge e) const { 
//      if (!e.backward) 
//        return forward_map[e]; 
//      else 
//        return backward_map[e]; 
//       }

//      typename _Graph::template EdgeMap<T>::Reference 
      T operator[](Edge e) const { 
        if (!e.backward) 
          return forward_map[e]; 
        else 
          return backward_map[e]; 
      }

      void update() { 
        forward_map.update(); 
        backward_map.update();
      }
    };

  };


  ///\brief An adaptor for composing a subgraph of a 
  /// bidirected graph made from a directed one. 
  ///
  /// An adaptor for composing a subgraph of a 
  /// bidirected graph made from a directed one. 
  ///
  ///\warning Graph adaptors are in even more experimental state than the other
  ///parts of the lib. Use them at you own risk.
  ///
  /// Let \f$G=(V, A)\f$ be a directed graph and for each directed edge 
  /// \f$e\in A\f$, let \f$\bar e\f$ denote the edge obtained by
  /// reversing its orientation. We are given moreover two bool valued 
  /// maps on the edge-set, 
  /// \f$forward\_filter\f$, and \f$backward\_filter\f$. 
  /// SubBidirGraphAdaptor implements the graph structure with node-set 
  /// \f$V\f$ and edge-set 
  /// \f$\{e : e\in A \mbox{ and } forward\_filter(e) \mbox{ is true}\}+\{\bar e : e\in A \mbox{ and } backward\_filter(e) \mbox{ is true}\}\f$. 
  /// The purpose of writing + instead of union is because parallel 
  /// edges can arise. (Similarly, antiparallel edges also can arise).
  /// In other words, a subgraph of the bidirected graph obtained, which 
  /// is given by orienting the edges of the original graph in both directions.
  /// As the oppositely directed edges are logically different, 
  /// the maps are able to attach different values for them. 
  ///
  /// An example for such a construction is \c RevGraphAdaptor where the 
  /// forward_filter is everywhere false and the backward_filter is 
  /// everywhere true. We note that for sake of efficiency, 
  /// \c RevGraphAdaptor is implemented in a different way. 
  /// But BidirGraphAdaptor is obtained from 
  /// SubBidirGraphAdaptor by considering everywhere true 
  /// valued maps both for forward_filter and backward_filter. 
  ///
  /// The most important application of SubBidirGraphAdaptor 
  /// is ResGraphAdaptor, which stands for the residual graph in directed 
  /// flow and circulation problems. 
  /// As adaptors usually, the SubBidirGraphAdaptor implements the 
  /// above mentioned graph structure without its physical storage, 
  /// that is the whole stuff is stored in constant memory. 
  template<typename _Graph, 
           typename ForwardFilterMap, typename BackwardFilterMap>
  class SubBidirGraphAdaptor : 
    public IterableGraphExtender<
    SubBidirGraphAdaptorBase<_Graph, ForwardFilterMap, BackwardFilterMap> > {
  public:
    typedef _Graph Graph;
    typedef IterableGraphExtender<
      SubBidirGraphAdaptorBase<
      _Graph, ForwardFilterMap, BackwardFilterMap> > Parent;
  protected:
    SubBidirGraphAdaptor() { }
  public:
    SubBidirGraphAdaptor(_Graph& _graph, ForwardFilterMap& _forward_filter, 
                         BackwardFilterMap& _backward_filter) { 
      setGraph(_graph);
      setForwardFilterMap(_forward_filter);
      setBackwardFilterMap(_backward_filter);
    }
  };



  ///\brief An adaptor for composing bidirected graph from a directed one. 
  ///
  ///\warning Graph adaptors are in even more experimental state than the other
  ///parts of the lib. Use them at you own risk.
  ///
  /// An adaptor for composing bidirected graph from a directed one. 
  /// A bidirected graph is composed over the directed one without physical 
  /// storage. As the oppositely directed edges are logically different ones 
  /// the maps are able to attach different values for them.
  template<typename Graph>
  class BidirGraphAdaptor : 
    public SubBidirGraphAdaptor<
    Graph, 
    ConstMap<typename Graph::Edge, bool>, 
    ConstMap<typename Graph::Edge, bool> > {
  public:
    typedef  SubBidirGraphAdaptor<
      Graph, 
      ConstMap<typename Graph::Edge, bool>, 
      ConstMap<typename Graph::Edge, bool> > Parent; 
  protected:
    ConstMap<typename Graph::Edge, bool> cm;

    BidirGraphAdaptor() : Parent(), cm(true) { 
      Parent::setForwardFilterMap(cm);
      Parent::setBackwardFilterMap(cm);
    }
  public:
    BidirGraphAdaptor(Graph& _graph) : Parent(), cm(true) { 
      Parent::setGraph(_graph);
      Parent::setForwardFilterMap(cm);
      Parent::setBackwardFilterMap(cm);
    }

    int edgeNum() const { 
      return 2*this->graph->edgeNum();
    }
    //    KEEP_MAPS(Parent, BidirGraphAdaptor);
  };


  template<typename Graph, typename Number,
           typename CapacityMap, typename FlowMap>
  class ResForwardFilter {
    //    const Graph* graph;
    const CapacityMap* capacity;
    const FlowMap* flow;
  public:
    ResForwardFilter(/*const Graph& _graph, */
                     const CapacityMap& _capacity, const FlowMap& _flow) :
      /*graph(&_graph),*/ capacity(&_capacity), flow(&_flow) { }
    ResForwardFilter() : /*graph(0),*/ capacity(0), flow(0) { }
    void setCapacity(const CapacityMap& _capacity) { capacity=&_capacity; }
    void setFlow(const FlowMap& _flow) { flow=&_flow; }
    bool operator[](const typename Graph::Edge& e) const {
      return (Number((*flow)[e]) < Number((*capacity)[e]));
    }
  };

  template<typename Graph, typename Number,
           typename CapacityMap, typename FlowMap>
  class ResBackwardFilter {
    const CapacityMap* capacity;
    const FlowMap* flow;
  public:
    ResBackwardFilter(/*const Graph& _graph,*/ 
                      const CapacityMap& _capacity, const FlowMap& _flow) :
      /*graph(&_graph),*/ capacity(&_capacity), flow(&_flow) { }
    ResBackwardFilter() : /*graph(0),*/ capacity(0), flow(0) { }
    void setCapacity(const CapacityMap& _capacity) { capacity=&_capacity; }
    void setFlow(const FlowMap& _flow) { flow=&_flow; }
    bool operator[](const typename Graph::Edge& e) const {
      return (Number(0) < Number((*flow)[e]));
    }
  };

  
  /*! \brief An adaptor for composing the residual graph for directed flow and circulation problems.

  An adaptor for composing the residual graph for directed flow and circulation problems. 
  Let \f$G=(V, A)\f$ be a directed graph and let \f$F\f$ be a 
  number type. Let moreover 
  \f$f,c:A\to F\f$, be functions on the edge-set. 
  In the appications of ResGraphAdaptor, \f$f\f$ usually stands for a flow 
  and \f$c\f$ for a capacity function.   
  Suppose that a graph instange \c g of type 
  \c ListGraph implements \f$G\f$.
  \code
  ListGraph g;
  \endcode
  Then RevGraphAdaptor implements the graph structure with node-set 
  \f$V\f$ and edge-set \f$A_{forward}\cup A_{backward}\f$, where 
  \f$A_{forward}=\{uv : uv\in A, f(uv)<c(uv)\}\f$ and 
  \f$A_{backward}=\{vu : uv\in A, f(uv)>0\}\f$, 
  i.e. the so called residual graph. 
  When we take the union \f$A_{forward}\cup A_{backward}\f$, 
  multilicities are counted, i.e. if an edge is in both 
  \f$A_{forward}\f$ and \f$A_{backward}\f$, then in the adaptor it 
  appears twice. 
  The following code shows how 
  such an instance can be constructed.
  \code
  typedef ListGraph Graph;
  Graph::EdgeMap<int> f(g);
  Graph::EdgeMap<int> c(g);
  ResGraphAdaptor<Graph, int, Graph::EdgeMap<int>, Graph::EdgeMap<int> > gw(g);
  \endcode
  \author Marton Makai
  */
  template<typename Graph, typename Number, 
           typename CapacityMap, typename FlowMap>
  class ResGraphAdaptor : 
    public SubBidirGraphAdaptor< 
    Graph, 
    ResForwardFilter<Graph, Number, CapacityMap, FlowMap>,  
    ResBackwardFilter<Graph, Number, CapacityMap, FlowMap> > {
  public:
    typedef SubBidirGraphAdaptor< 
      Graph, 
      ResForwardFilter<Graph, Number, CapacityMap, FlowMap>,  
      ResBackwardFilter<Graph, Number, CapacityMap, FlowMap> > Parent;
  protected:
    const CapacityMap* capacity;
    FlowMap* flow;
    ResForwardFilter<Graph, Number, CapacityMap, FlowMap> forward_filter;
    ResBackwardFilter<Graph, Number, CapacityMap, FlowMap> backward_filter;
    ResGraphAdaptor() : Parent(), 
                        capacity(0), flow(0) { }
    void setCapacityMap(const CapacityMap& _capacity) {
      capacity=&_capacity;
      forward_filter.setCapacity(_capacity);
      backward_filter.setCapacity(_capacity);
    }
    void setFlowMap(FlowMap& _flow) {
      flow=&_flow;
      forward_filter.setFlow(_flow);
      backward_filter.setFlow(_flow);
    }
  public:
    ResGraphAdaptor(Graph& _graph, const CapacityMap& _capacity, 
                       FlowMap& _flow) : 
      Parent(), capacity(&_capacity), flow(&_flow), 
      forward_filter(/*_graph,*/ _capacity, _flow), 
      backward_filter(/*_graph,*/ _capacity, _flow) {
      Parent::setGraph(_graph);
      Parent::setForwardFilterMap(forward_filter);
      Parent::setBackwardFilterMap(backward_filter);
    }

    typedef typename Parent::Edge Edge;

    void augment(const Edge& e, Number a) const {
      if (Parent::forward(e))  
        flow->set(e, (*flow)[e]+a);
      else  
        flow->set(e, (*flow)[e]-a);
    }

    /// \brief Residual capacity map.
    ///
    /// In generic residual graphs the residual capacity can be obtained 
    /// as a map. 
    class ResCap {
    protected:
      const ResGraphAdaptor<Graph, Number, CapacityMap, FlowMap>* res_graph;
    public:
      typedef Number Value;
      typedef Edge Key;
      ResCap(const ResGraphAdaptor<Graph, Number, CapacityMap, FlowMap>& 
             _res_graph) : res_graph(&_res_graph) { }
      Number operator[](const Edge& e) const { 
        if (res_graph->forward(e)) 
          return (*(res_graph->capacity))[e]-(*(res_graph->flow))[e]; 
        else 
          return (*(res_graph->flow))[e]; 
      }
    };

    //    KEEP_MAPS(Parent, ResGraphAdaptor);
  };



  template <typename _Graph, typename FirstOutEdgesMap>
  class ErasingFirstGraphAdaptorBase : public GraphAdaptorBase<_Graph> {
  public:
    typedef _Graph Graph;
    typedef GraphAdaptorBase<_Graph> Parent;
  protected:
    FirstOutEdgesMap* first_out_edges;
    ErasingFirstGraphAdaptorBase() : Parent(), 
                                     first_out_edges(0) { }

    void setFirstOutEdgesMap(FirstOutEdgesMap& _first_out_edges) {
      first_out_edges=&_first_out_edges;
    }

  public:

    typedef typename Parent::Node Node;
    typedef typename Parent::Edge Edge;

    void firstOut(Edge& i, const Node& n) const { 
      i=(*first_out_edges)[n];
    }

    void erase(const Edge& e) const {
      Node n=source(e);
      Edge f=e;
      Parent::nextOut(f);
      first_out_edges->set(n, f);
    }    
  };


  /// For blocking flows.

  ///\warning Graph adaptors are in even more experimental state than the other
  ///parts of the lib. Use them at you own risk.
  ///
  /// This graph adaptor is used for on-the-fly 
  /// Dinits blocking flow computations.
  /// For each node, an out-edge is stored which is used when the 
  /// \code 
  /// OutEdgeIt& first(OutEdgeIt&, const Node&)
  /// \endcode
  /// is called. 
  ///
  /// \author Marton Makai
  template <typename _Graph, typename FirstOutEdgesMap>
  class ErasingFirstGraphAdaptor : 
    public IterableGraphExtender<
    ErasingFirstGraphAdaptorBase<_Graph, FirstOutEdgesMap> > {
  public:
    typedef _Graph Graph;
    typedef IterableGraphExtender<
      ErasingFirstGraphAdaptorBase<_Graph, FirstOutEdgesMap> > Parent;
    ErasingFirstGraphAdaptor(Graph& _graph, 
                             FirstOutEdgesMap& _first_out_edges) { 
      setGraph(_graph);
      setFirstOutEdgesMap(_first_out_edges);
    } 

  };

  /// \e
  template <typename _Graph>
  class NewEdgeSetAdaptorBase {
  public:

    typedef _Graph Graph;
    typedef typename Graph::Node Node;
    typedef typename Graph::NodeIt NodeIt;

  protected:

    struct NodeT {
      int first_out, first_in;
      NodeT() : first_out(-1), first_in(-1) {}
    };
    
    class NodesImpl : protected Graph::template NodeMap<NodeT> {

      typedef typename Graph::template NodeMap<NodeT> Parent;
      typedef NewEdgeSetAdaptorBase<Graph> Adaptor;

      Adaptor& adaptor;

    public:

      NodesImpl(Adaptor& _adaptor, const Graph& _graph) 
        : Parent(_graph), adaptor(_adaptor) {}

      virtual ~NodesImpl() {}

      virtual void build() {
        Parent::build();
      }

      virtual void clear() {
        adaptor._clear();
        Parent::clear();
      }
      
      virtual void add(const Node& node) {
        Parent::add(node);
        adaptor._add(node);
      }
      
      virtual void erase(const Node& node) {
        adaptor._erase(node);
        Parent::erase(node);
      }

      NodeT& operator[](const Node& node) {
        return Parent::operator[](node);
      }

      const NodeT& operator[](const Node& node) const {
        return Parent::operator[](node);
      }
      
    };

    NodesImpl* nodes;

    struct EdgeT {
      Node source, target;
      int next_out, next_in;
      int prev_out, prev_in;
      EdgeT() : prev_out(-1), prev_in(-1) {}
    };

    std::vector<EdgeT> edges;

    int first_edge;
    int first_free_edge;

    virtual void _clear() = 0;
    virtual void _add(const Node& node) = 0;
    virtual void _erase(const Node& node) = 0;
    
    const Graph* graph;

    void initalize(const Graph& _graph, NodesImpl& _nodes) {
      graph = &_graph;
      nodes = &_nodes;
    }
    
  public:

    class Edge {
      friend class NewEdgeSetAdaptorBase<Graph>;
    protected:
      Edge(int _id) : id(_id) {}
      int id;
    public:
      Edge() {}
      Edge(Invalid) : id(-1) {}
      bool operator==(const Edge& edge) const { return id == edge.id; }
      bool operator!=(const Edge& edge) const { return id != edge.id; }
      bool operator<(const Edge& edge) const { return id < edge.id; }
    };

    NewEdgeSetAdaptorBase() : first_edge(-1), first_free_edge(-1) {} 
    virtual ~NewEdgeSetAdaptorBase() {}

    Edge addEdge(const Node& source, const Node& target) {
      int n;
      if (first_free_edge == -1) {
        n = edges.size();
        edges.push_back(EdgeT());
      } else {
        n = first_free_edge;
        first_free_edge = edges[first_free_edge].next_in;
      }
      edges[n].next_in = (*nodes)[target].first_in;
      (*nodes)[target].first_in = n;
      edges[n].next_out = (*nodes)[source].first_out;
      (*nodes)[source].first_out = n;
      edges[n].source = source;
      edges[n].target = target;
      return Edge(n);
    }

    void erase(const Edge& edge) {
      int n = edge.id;
      if (edges[n].prev_in != -1) {
        edges[edges[n].prev_in].next_in = edges[n].next_in;
      } else {
        (*nodes)[edges[n].target].first_in = edges[n].next_in;
      }
      if (edges[n].next_in != -1) {
        edges[edges[n].next_in].prev_in = edges[n].prev_in;
      }

      if (edges[n].prev_out != -1) {
        edges[edges[n].prev_out].next_out = edges[n].next_out;
      } else {
        (*nodes)[edges[n].source].first_out = edges[n].next_out;
      }
      if (edges[n].next_out != -1) {
        edges[edges[n].next_out].prev_out = edges[n].prev_out;
      }
           
    }

    void first(Node& node) const {
      graph->first(node);
    }

    void next(Node& node) const {
      graph->next(node);
    }

    void first(Edge& edge) const {
      Node node;
      for (first(node); node != INVALID && (*nodes)[node].first_in == -1; 
           next(node));
      edge.id = (node == INVALID) ? -1 : (*nodes)[node].first_in;
    }

    void next(Edge& edge) const {
      if (edges[edge.id].next_in != -1) {
        edge.id = edges[edge.id].next_in;
      } else {
        Node node = edges[edge.id].target;
        for (next(node); node != INVALID && (*nodes)[node].first_in == -1; 
             next(node));
        edge.id = (node == INVALID) ? -1 : (*nodes)[node].first_in;
      }      
    }

    void firstOut(Edge& edge, const Node& node) const {
      edge.id = (*nodes)[node].first_out;    
    }
    
    void nextOut(Edge& edge) const {
      edge.id = edges[edge.id].next_out;        
    }

    void firstIn(Edge& edge, const Node& node) const {
      edge.id = (*nodes)[node].first_in;          
    }

    void nextIn(Edge& edge) const {
      edge.id = edges[edge.id].next_in;    
    }

    int id(const Node& node) const { return graph->id(node); }
    int id(const Edge& edge) const { return edge.id; }

    Node fromId(int id, Node) const { return graph->fromId(id, Node()); }
    Edge fromId(int id, Edge) const { return Edge(id); }

    int maxId(Node) const { return graph->maxId(Node()); };
    int maxId(Edge) const { return edges.size() - 1; }

    Node source(const Edge& edge) const { return edges[edge.id].source;}
    Node target(const Edge& edge) const { return edges[edge.id].target;}

  };

  template <typename _Graph>
  class NewEdgeSetAdaptor :
    public ErasableGraphExtender<
    ClearableGraphExtender<
    ExtendableGraphExtender<
    DefaultMappableGraphExtender<
    IterableGraphExtender<
    AlterableGraphExtender<
    NewEdgeSetAdaptorBase<_Graph> > > > > > > {

  public:

    typedef ErasableGraphExtender<
      ClearableGraphExtender<
      ExtendableGraphExtender<
      DefaultMappableGraphExtender<
      IterableGraphExtender<
      AlterableGraphExtender<
      NewEdgeSetAdaptorBase<_Graph> > > > > > > Parent;
    

    typedef typename Parent::Node Node;
    typedef typename Parent::Edge Edge;

  private:

    virtual void _clear() {
      Parent::edges.clear();
      Parent::first_edge = -1;
      Parent::first_free_edge = -1;
      Parent::getNotifier(Edge()).clear();
      Parent::getNotifier(Node()).clear();
    }

    virtual void _add(const Node& node) {
      Parent::getNotifier(Node()).add(node);
    }

    virtual void _erase(const Node& node) {
      Edge edge;
      Parent::firstOut(edge, node);
      while (edge != INVALID) {
        Parent::erase(edge);
        Parent::firstOut(edge, node);
      }

      Parent::firstIn(edge, node);
      while (edge != INVALID) {
        Parent::erase(edge);
        Parent::firstIn(edge, node);
      }
      
      Parent::getNotifier(Node()).erase(node);
    }


    typedef typename Parent::NodesImpl NodesImpl;

    NodesImpl nodes;
    
  public:

    NewEdgeSetAdaptor(const _Graph& _graph) : nodes(*this, _graph) {
      Parent::initalize(_graph, nodes);
    }

    void clear() {
      Parent::edges.clear();
      Parent::first_edge = -1;
      Parent::first_free_edge = -1;

      Parent::getNotifier(Edge()).clear();      
    }
    
  };

  ///@}

} //namespace lemon

#endif //LEMON_GRAPH_ADAPTOR_H