lemon/pairing_heap.h
author Peter Kovacs <kpeter@inf.elte.hu>
Sat, 20 Feb 2010 18:39:03 +0100
changeset 839 f3bc4e9b5f3a
parent 703 bb3392fe91f2
permissions -rw-r--r--
New heuristics for MCF algorithms (#340)
and some implementation improvements.

- A useful heuristic is added to NetworkSimplex to make the
initial pivots faster.
- A powerful global update heuristic is added to CostScaling
and the implementation is reworked with various improvements.
- Better relabeling in CostScaling to improve numerical stability
and make the code faster.
- A small improvement is made in CapacityScaling for better
delta computation.
- Add notes to the classes about the usage of vector<char> instead
of vector<bool> for efficiency reasons.
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/* -*- mode: C++; indent-tabs-mode: nil; -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library.
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 *
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 * Copyright (C) 2003-2009
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_PAIRING_HEAP_H
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#define LEMON_PAIRING_HEAP_H
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///\file
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///\ingroup heaps
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///\brief Pairing heap implementation.
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#include <vector>
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#include <utility>
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#include <functional>
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#include <lemon/math.h>
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namespace lemon {
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  /// \ingroup heaps
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  ///
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  ///\brief Pairing Heap.
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  ///
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  /// This class implements the \e pairing \e heap data structure.
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  /// It fully conforms to the \ref concepts::Heap "heap concept".
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  ///
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  /// The methods \ref increase() and \ref erase() are not efficient
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  /// in a pairing heap. In case of many calls of these operations,
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  /// it is better to use other heap structure, e.g. \ref BinHeap
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  /// "binary heap".
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  ///
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  /// \tparam PR Type of the priorities of the items.
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  /// \tparam IM A read-writable item map with \c int values, used
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  /// internally to handle the cross references.
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  /// \tparam CMP A functor class for comparing the priorities.
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  /// The default is \c std::less<PR>.
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#ifdef DOXYGEN
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  template <typename PR, typename IM, typename CMP>
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#else
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  template <typename PR, typename IM, typename CMP = std::less<PR> >
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#endif
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  class PairingHeap {
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  public:
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    /// Type of the item-int map.
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    typedef IM ItemIntMap;
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    /// Type of the priorities.
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    typedef PR Prio;
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    /// Type of the items stored in the heap.
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    typedef typename ItemIntMap::Key Item;
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    /// Functor type for comparing the priorities.
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    typedef CMP Compare;
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    /// \brief Type to represent the states of the items.
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    ///
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    /// Each item has a state associated to it. It can be "in heap",
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    /// "pre-heap" or "post-heap". The latter two are indifferent from the
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    /// heap's point of view, but may be useful to the user.
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    ///
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    /// The item-int map must be initialized in such way that it assigns
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    /// \c PRE_HEAP (<tt>-1</tt>) to any element to be put in the heap.
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    enum State {
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      IN_HEAP = 0,    ///< = 0.
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      PRE_HEAP = -1,  ///< = -1.
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      POST_HEAP = -2  ///< = -2.
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    };
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  private:
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    class store;
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    std::vector<store> _data;
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    int _min;
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    ItemIntMap &_iim;
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    Compare _comp;
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    int _num_items;
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  public:
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    /// \brief Constructor.
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    ///
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    /// Constructor.
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    /// \param map A map that assigns \c int values to the items.
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    /// It is used internally to handle the cross references.
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    /// The assigned value must be \c PRE_HEAP (<tt>-1</tt>) for each item.
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    explicit PairingHeap(ItemIntMap &map)
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      : _min(0), _iim(map), _num_items(0) {}
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    /// \brief Constructor.
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    ///
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    /// Constructor.
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    /// \param map A map that assigns \c int values to the items.
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    /// It is used internally to handle the cross references.
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    /// The assigned value must be \c PRE_HEAP (<tt>-1</tt>) for each item.
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    /// \param comp The function object used for comparing the priorities.
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    PairingHeap(ItemIntMap &map, const Compare &comp)
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      : _min(0), _iim(map), _comp(comp), _num_items(0) {}
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    /// \brief The number of items stored in the heap.
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    ///
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    /// This function returns the number of items stored in the heap.
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    int size() const { return _num_items; }
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    /// \brief Check if the heap is empty.
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    ///
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    /// This function returns \c true if the heap is empty.
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    bool empty() const { return _num_items==0; }
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    /// \brief Make the heap empty.
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    ///
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    /// This functon makes the heap empty.
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    /// It does not change the cross reference map. If you want to reuse
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    /// a heap that is not surely empty, you should first clear it and
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    /// then you should set the cross reference map to \c PRE_HEAP
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    /// for each item.
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    void clear() {
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      _data.clear();
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      _min = 0;
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      _num_items = 0;
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    }
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    /// \brief Set the priority of an item or insert it, if it is
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    /// not stored in the heap.
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    ///
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    /// This method sets the priority of the given item if it is
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    /// already stored in the heap. Otherwise it inserts the given
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    /// item into the heap with the given priority.
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    /// \param item The item.
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    /// \param value The priority.
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    void set (const Item& item, const Prio& value) {
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      int i=_iim[item];
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      if ( i>=0 && _data[i].in ) {
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        if ( _comp(value, _data[i].prio) ) decrease(item, value);
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        if ( _comp(_data[i].prio, value) ) increase(item, value);
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      } else push(item, value);
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    }
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    /// \brief Insert an item into the heap with the given priority.
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    ///
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    /// This function inserts the given item into the heap with the
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    /// given priority.
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    /// \param item The item to insert.
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    /// \param value The priority of the item.
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    /// \pre \e item must not be stored in the heap.
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    void push (const Item& item, const Prio& value) {
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      int i=_iim[item];
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      if( i<0 ) {
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        int s=_data.size();
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        _iim.set(item, s);
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        store st;
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        st.name=item;
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        _data.push_back(st);
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        i=s;
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      } else {
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        _data[i].parent=_data[i].child=-1;
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        _data[i].left_child=false;
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        _data[i].degree=0;
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        _data[i].in=true;
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      }
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      _data[i].prio=value;
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      if ( _num_items!=0 ) {
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        if ( _comp( value, _data[_min].prio) ) {
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          fuse(i,_min);
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          _min=i;
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        }
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        else fuse(_min,i);
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      }
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      else _min=i;
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      ++_num_items;
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    }
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    /// \brief Return the item having minimum priority.
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    ///
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    /// This function returns the item having minimum priority.
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    /// \pre The heap must be non-empty.
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    Item top() const { return _data[_min].name; }
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    /// \brief The minimum priority.
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    ///
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    /// This function returns the minimum priority.
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    /// \pre The heap must be non-empty.
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    const Prio& prio() const { return _data[_min].prio; }
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    /// \brief The priority of the given item.
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    ///
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    /// This function returns the priority of the given item.
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    /// \param item The item.
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    /// \pre \e item must be in the heap.
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    const Prio& operator[](const Item& item) const {
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      return _data[_iim[item]].prio;
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    }
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    /// \brief Remove the item having minimum priority.
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    ///
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    /// This function removes the item having minimum priority.
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    /// \pre The heap must be non-empty.
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    void pop() {
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      std::vector<int> trees;
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      int i=0, child_right = 0;
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      _data[_min].in=false;
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      if( -1!=_data[_min].child ) {
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        i=_data[_min].child;
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        trees.push_back(i);
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        _data[i].parent = -1;
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        _data[_min].child = -1;
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        int ch=-1;
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        while( _data[i].child!=-1 ) {
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          ch=_data[i].child;
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          if( _data[ch].left_child && i==_data[ch].parent ) {
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            break;
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          } else {
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            if( _data[ch].left_child ) {
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              child_right=_data[ch].parent;
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              _data[ch].parent = i;
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              --_data[i].degree;
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            }
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            else {
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              child_right=ch;
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              _data[i].child=-1;
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              _data[i].degree=0;
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            }
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            _data[child_right].parent = -1;
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            trees.push_back(child_right);
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            i = child_right;
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          }
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        }
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        int num_child = trees.size();
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        int other;
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        for( i=0; i<num_child-1; i+=2 ) {
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          if ( !_comp(_data[trees[i]].prio, _data[trees[i+1]].prio) ) {
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            other=trees[i];
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            trees[i]=trees[i+1];
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            trees[i+1]=other;
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          }
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          fuse( trees[i], trees[i+1] );
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        }
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        i = (0==(num_child % 2)) ? num_child-2 : num_child-1;
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        while(i>=2) {
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          if ( _comp(_data[trees[i]].prio, _data[trees[i-2]].prio) ) {
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            other=trees[i];
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            trees[i]=trees[i-2];
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            trees[i-2]=other;
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          }
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          fuse( trees[i-2], trees[i] );
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          i-=2;
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        }
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        _min = trees[0];
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      }
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      else {
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        _min = _data[_min].child;
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      }
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      if (_min >= 0) _data[_min].left_child = false;
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      --_num_items;
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    }
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    /// \brief Remove the given item from the heap.
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    ///
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    /// This function removes the given item from the heap if it is
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    /// already stored.
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    /// \param item The item to delete.
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    /// \pre \e item must be in the heap.
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    void erase (const Item& item) {
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      int i=_iim[item];
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      if ( i>=0 && _data[i].in ) {
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        decrease( item, _data[_min].prio-1 );
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        pop();
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      }
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    }
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    /// \brief Decrease the priority of an item to the given value.
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    ///
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    /// This function decreases the priority of an item to the given value.
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    /// \param item The item.
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    /// \param value The priority.
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    /// \pre \e item must be stored in the heap with priority at least \e value.
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    void decrease (Item item, const Prio& value) {
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      int i=_iim[item];
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      _data[i].prio=value;
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      int p=_data[i].parent;
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      if( _data[i].left_child && i!=_data[p].child ) {
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        p=_data[p].parent;
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      }
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      if ( p!=-1 && _comp(value,_data[p].prio) ) {
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        cut(i,p);
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        if ( _comp(_data[_min].prio,value) ) {
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          fuse(_min,i);
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        } else {
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          fuse(i,_min);
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          _min=i;
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        }
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      }
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    }
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    /// \brief Increase the priority of an item to the given value.
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    ///
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    /// This function increases the priority of an item to the given value.
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    /// \param item The item.
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    /// \param value The priority.
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    /// \pre \e item must be stored in the heap with priority at most \e value.
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    void increase (Item item, const Prio& value) {
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      erase(item);
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      push(item,value);
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    }
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    /// \brief Return the state of an item.
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    ///
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    /// This method returns \c PRE_HEAP if the given item has never
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    /// been in the heap, \c IN_HEAP if it is in the heap at the moment,
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    /// and \c POST_HEAP otherwise.
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    /// In the latter case it is possible that the item will get back
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    /// to the heap again.
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    /// \param item The item.
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    State state(const Item &item) const {
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      int i=_iim[item];
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      if( i>=0 ) {
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        if( _data[i].in ) i=0;
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        else i=-2;
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      }
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      return State(i);
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    }
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    /// \brief Set the state of an item in the heap.
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    ///
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    /// This function sets the state of the given item in the heap.
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    /// It can be used to manually clear the heap when it is important
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    /// to achive better time complexity.
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    /// \param i The item.
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    /// \param st The state. It should not be \c IN_HEAP.
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    void state(const Item& i, State st) {
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      switch (st) {
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      case POST_HEAP:
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      case PRE_HEAP:
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        if (state(i) == IN_HEAP) erase(i);
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        _iim[i]=st;
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        break;
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      case IN_HEAP:
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        break;
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      }
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    }
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  private:
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    void cut(int a, int b) {
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      int child_a;
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      switch (_data[a].degree) {
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        case 2:
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          child_a = _data[_data[a].child].parent;
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          if( _data[a].left_child ) {
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            _data[child_a].left_child=true;
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            _data[b].child=child_a;
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            _data[child_a].parent=_data[a].parent;
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          }
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          else {
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            _data[child_a].left_child=false;
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            _data[child_a].parent=b;
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            if( a!=_data[b].child )
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              _data[_data[b].child].parent=child_a;
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            else
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              _data[b].child=child_a;
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          }
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          --_data[a].degree;
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          _data[_data[a].child].parent=a;
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          break;
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        case 1:
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          child_a = _data[a].child;
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          if( !_data[child_a].left_child ) {
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            --_data[a].degree;
kpeter@703
   389
            if( _data[a].left_child ) {
kpeter@703
   390
              _data[child_a].left_child=true;
kpeter@703
   391
              _data[child_a].parent=_data[a].parent;
kpeter@703
   392
              _data[b].child=child_a;
kpeter@701
   393
            }
kpeter@701
   394
            else {
kpeter@703
   395
              _data[child_a].left_child=false;
kpeter@703
   396
              _data[child_a].parent=b;
kpeter@703
   397
              if( a!=_data[b].child )
kpeter@703
   398
                _data[_data[b].child].parent=child_a;
kpeter@701
   399
              else
kpeter@703
   400
                _data[b].child=child_a;
kpeter@701
   401
            }
kpeter@703
   402
            _data[a].child=-1;
kpeter@701
   403
          }
kpeter@701
   404
          else {
kpeter@703
   405
            --_data[b].degree;
kpeter@703
   406
            if( _data[a].left_child ) {
kpeter@703
   407
              _data[b].child =
kpeter@703
   408
                (1==_data[b].degree) ? _data[a].parent : -1;
kpeter@701
   409
            } else {
kpeter@703
   410
              if (1==_data[b].degree)
kpeter@703
   411
                _data[_data[b].child].parent=b;
kpeter@701
   412
              else
kpeter@703
   413
                _data[b].child=-1;
kpeter@701
   414
            }
kpeter@701
   415
          }
kpeter@701
   416
          break;
kpeter@701
   417
kpeter@701
   418
        case 0:
kpeter@703
   419
          --_data[b].degree;
kpeter@703
   420
          if( _data[a].left_child ) {
kpeter@703
   421
            _data[b].child =
kpeter@703
   422
              (0!=_data[b].degree) ? _data[a].parent : -1;
kpeter@701
   423
          } else {
kpeter@703
   424
            if( 0!=_data[b].degree )
kpeter@703
   425
              _data[_data[b].child].parent=b;
kpeter@701
   426
            else
kpeter@703
   427
              _data[b].child=-1;
kpeter@701
   428
          }
kpeter@701
   429
          break;
kpeter@701
   430
      }
kpeter@703
   431
      _data[a].parent=-1;
kpeter@703
   432
      _data[a].left_child=false;
kpeter@701
   433
    }
kpeter@701
   434
kpeter@701
   435
    void fuse(int a, int b) {
kpeter@703
   436
      int child_a = _data[a].child;
kpeter@703
   437
      int child_b = _data[b].child;
kpeter@703
   438
      _data[a].child=b;
kpeter@703
   439
      _data[b].parent=a;
kpeter@703
   440
      _data[b].left_child=true;
kpeter@701
   441
kpeter@701
   442
      if( -1!=child_a ) {
kpeter@703
   443
        _data[b].child=child_a;
kpeter@703
   444
        _data[child_a].parent=b;
kpeter@703
   445
        _data[child_a].left_child=false;
kpeter@703
   446
        ++_data[b].degree;
kpeter@701
   447
kpeter@701
   448
        if( -1!=child_b ) {
kpeter@703
   449
           _data[b].child=child_b;
kpeter@703
   450
           _data[child_b].parent=child_a;
kpeter@701
   451
        }
kpeter@701
   452
      }
kpeter@703
   453
      else { ++_data[a].degree; }
kpeter@701
   454
    }
kpeter@701
   455
kpeter@701
   456
    class store {
kpeter@701
   457
      friend class PairingHeap;
kpeter@701
   458
kpeter@701
   459
      Item name;
kpeter@701
   460
      int parent;
kpeter@701
   461
      int child;
kpeter@701
   462
      bool left_child;
kpeter@701
   463
      int degree;
kpeter@701
   464
      bool in;
kpeter@701
   465
      Prio prio;
kpeter@701
   466
kpeter@701
   467
      store() : parent(-1), child(-1), left_child(false), degree(0), in(true) {}
kpeter@701
   468
    };
kpeter@701
   469
  };
kpeter@701
   470
kpeter@701
   471
} //namespace lemon
kpeter@701
   472
kpeter@701
   473
#endif //LEMON_PAIRING_HEAP_H
kpeter@701
   474