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253 lines
10 KiB
C++
253 lines
10 KiB
C++
/// \file
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/// \brief \b [Internal] Ordered Channel Heap . This is a heap where you add to it on multiple ordered channels, with each channel having a different weight.
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///
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/// This file is part of RakNet Copyright 2003 Kevin Jenkins.
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///
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/// Usage of RakNet is subject to the appropriate license agreement.
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/// Creative Commons Licensees are subject to the
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/// license found at
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/// http://creativecommons.org/licenses/by-nc/2.5/
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/// Single application licensees are subject to the license found at
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/// http://www.jenkinssoftware.com/SingleApplicationLicense.html
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/// Custom license users are subject to the terms therein.
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/// GPL license users are subject to the GNU General Public
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/// License as published by the Free
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/// Software Foundation; either version 2 of the License, or (at your
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/// option) any later version.
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#ifndef __RAKNET_ORDERED_CHANNEL_HEAP_H
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#define __RAKNET_ORDERED_CHANNEL_HEAP_H
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#include "DS_Heap.h"
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#include "DS_Map.h"
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#include "DS_Queue.h"
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#include "Export.h"
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#include <assert.h>
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#include "Rand.h"
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/// The namespace DataStructures was only added to avoid compiler errors for commonly named data structures
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/// As these data structures are stand-alone, you can use them outside of RakNet for your own projects if you wish.
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namespace DataStructures
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{
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)=defaultMapKeyComparison<channel_key_type> >
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class RAK_DLL_EXPORT OrderedChannelHeap : public RakNet::RakMemoryOverride
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{
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public:
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static void IMPLEMENT_DEFAULT_COMPARISON(void) {DataStructures::defaultMapKeyComparison<channel_key_type>(channel_key_type(),channel_key_type());}
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OrderedChannelHeap();
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~OrderedChannelHeap();
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void Push(const channel_key_type &channelID, const heap_data_type &data);
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void PushAtHead(const unsigned index, const channel_key_type &channelID, const heap_data_type &data);
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heap_data_type Pop(const unsigned startingIndex=0);
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heap_data_type Peek(const unsigned startingIndex) const;
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void AddChannel(const channel_key_type &channelID, const double weight);
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void RemoveChannel(channel_key_type channelID);
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void Clear(void);
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heap_data_type& operator[] ( const unsigned int position ) const;
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unsigned ChannelSize(const channel_key_type &channelID);
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unsigned Size(void) const;
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struct QueueAndWeight
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{
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DataStructures::Queue<double> randResultQueue;
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double weight;
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bool signalDeletion;
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};
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struct HeapChannelAndData
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{
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HeapChannelAndData() {}
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HeapChannelAndData(const channel_key_type &_channel, const heap_data_type &_data) : data(_data), channel(_channel) {}
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heap_data_type data;
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channel_key_type channel;
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};
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protected:
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DataStructures::Map<channel_key_type, QueueAndWeight*, channel_key_comparison_func> map;
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DataStructures::Heap<double, HeapChannelAndData, true> heap;
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void GreatestRandResult(void);
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};
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::OrderedChannelHeap()
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{
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::~OrderedChannelHeap()
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{
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Clear();
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::Push(const channel_key_type &channelID, const heap_data_type &data)
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{
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PushAtHead(MAX_UNSIGNED_LONG, channelID, data);
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::GreatestRandResult(void)
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{
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double greatest;
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unsigned i;
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greatest=0.0;
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for (i=0; i < map.Size(); i++)
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{
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if (map[i]->randResultQueue.Size() && map[i]->randResultQueue[0]>greatest)
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greatest=map[i]->randResultQueue[0];
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}
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return greatest;
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::PushAtHead(const unsigned index, const channel_key_type &channelID, const heap_data_type &data)
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{
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// If an assert hits here then this is an unknown channel. Call AddChannel first.
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QueueAndWeight *queueAndWeight=map.Get(channelID);
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double maxRange, minRange, rnd;
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if (queueAndWeight->randResultQueue.Size()==0)
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{
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// Set maxRange to the greatest random number waiting to be returned, rather than 1.0 necessarily
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// This is so weights are scaled similarly among channels. For example, if the head weight for a used channel was .25
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// and then we added another channel, the new channel would need to choose between .25 and 0
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// If we chose between 1.0 and 0, it would be 1/.25 (4x) more likely to be at the head of the heap than it should be
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maxRange=GreatestRandResult();
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if (maxRange==0.0)
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maxRange=1.0;
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minRange=0.0;
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}
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else if (index >= queueAndWeight->randResultQueue.Size())
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{
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maxRange=queueAndWeight->randResultQueue[queueAndWeight->randResultQueue.Size()-1]*.99999999;
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minRange=0.0;
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}
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else
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{
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if (index==0)
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{
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maxRange=GreatestRandResult();
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if (maxRange==queueAndWeight->randResultQueue[0])
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maxRange=1.0;
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}
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else if (index >= queueAndWeight->randResultQueue.Size())
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maxRange=queueAndWeight->randResultQueue[queueAndWeight->randResultQueue.Size()-1]*.99999999;
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else
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maxRange=queueAndWeight->randResultQueue[index-1]*.99999999;
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minRange=maxRange=queueAndWeight->randResultQueue[index]*1.00000001;
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}
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#ifdef _DEBUG
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assert(maxRange!=0.0);
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#endif
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rnd=frandomMT() * (maxRange - minRange);
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if (rnd==0.0)
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rnd=maxRange/2.0;
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if (index >= queueAndWeight->randResultQueue.Size())
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queueAndWeight->randResultQueue.Push(rnd);
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else
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queueAndWeight->randResultQueue.PushAtHead(rnd, index);
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heap.Push(rnd*queueAndWeight->weight, HeapChannelAndData(channelID, data));
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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heap_data_type OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::Pop(const unsigned startingIndex)
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{
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assert(startingIndex < heap.Size());
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QueueAndWeight *queueAndWeight=map.Get(heap[startingIndex].channel);
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if (startingIndex!=0)
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{
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// Ugly - have to count in the heap how many nodes have the same channel, so we know where to delete from in the queue
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unsigned indiceCount=0;
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unsigned i;
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for (i=0; i < startingIndex; i++)
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if (channel_key_comparison_func(heap[i].channel,heap[startingIndex].channel)==0)
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indiceCount++;
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queueAndWeight->randResultQueue.RemoveAtIndex(indiceCount);
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}
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else
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{
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// TODO - ordered channel heap uses progressively lower values as items are inserted. But this won't give relative ordering among channels. I have to renormalize after every pop.
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queueAndWeight->randResultQueue.Pop();
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}
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// Try to remove the channel after every pop, because doing so is not valid while there are elements in the list.
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if (queueAndWeight->signalDeletion)
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RemoveChannel(heap[startingIndex].channel);
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return heap.Pop(startingIndex).data;
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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heap_data_type OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::Peek(const unsigned startingIndex) const
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{
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HeapChannelAndData heapChannelAndData = heap.Peek(startingIndex);
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return heapChannelAndData.data;
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::AddChannel(const channel_key_type &channelID, const double weight)
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{
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QueueAndWeight *qaw = new QueueAndWeight;
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qaw->weight=weight;
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qaw->signalDeletion=false;
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map.SetNew(channelID, qaw);
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::RemoveChannel(channel_key_type channelID)
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{
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if (map.Has(channelID))
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{
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unsigned i;
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i=map.GetIndexAtKey(channelID);
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if (map[i]->randResultQueue.Size()==0)
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{
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delete map[i];
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map.RemoveAtIndex(i);
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}
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else
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{
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// Signal this channel for deletion later, because the heap has nodes with this channel right now
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map[i]->signalDeletion=true;
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}
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}
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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unsigned OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::Size(void) const
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{
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return heap.Size();
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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heap_data_type& OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::operator[]( const unsigned int position ) const
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{
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return heap[position].data;
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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unsigned OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::ChannelSize(const channel_key_type &channelID)
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{
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QueueAndWeight *queueAndWeight=map.Get(channelID);
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return queueAndWeight->randResultQueue.Size();
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}
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template <class channel_key_type, class heap_data_type, int (*channel_key_comparison_func)(const channel_key_type&, const channel_key_type&)>
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void OrderedChannelHeap<channel_key_type, heap_data_type, channel_key_comparison_func>::Clear(void)
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{
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unsigned i;
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for (i=0; i < map.Size(); i++)
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delete map[i];
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map.Clear();
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heap.Clear();
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}
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}
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#endif
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