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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other updates.

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/*
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    Copyright (C) 2004
 *    & Matthias Schubert ([email protected])
 *    & Zhanna Melnikova-Albrecht ([email protected])
 *    & Rainer Holzmann ([email protected])
 */

package weka.clusterers.forOPTICSAndDBScan.Utils;

import weka.core.RevisionHandler;
import weka.core.RevisionUtils;

import java.util.ArrayList;

/**
 * 

* PriorityQueue.java
* Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht, Matthias Schubert
* Date: Aug 27, 2004
* Time: 5:36:35 PM
* $ Revision 1.4 $
*

* * @author Matthias Schubert ([email protected]) * @author Zhanna Melnikova-Albrecht ([email protected]) * @author Rainer Holzmann ([email protected]) * @version $Revision: 1.3 $ */ public class PriorityQueue implements RevisionHandler { /** * Used to store the binary heap */ private ArrayList queue; // ***************************************************************************************************************** // constructors // ***************************************************************************************************************** /** * Creates a new PriorityQueue backed on a binary heap. The queue is * dynamically growing and shrinking and it is descending, that is: the highest * priority is always in the root. */ public PriorityQueue() { queue = new ArrayList(); } // ***************************************************************************************************************** // methods // ***************************************************************************************************************** /** * Adds a new Object to the queue * @param priority The priority associated with the object * @param o */ public void add(double priority, Object o) { queue.add(new PriorityQueueElement(priority, o)); heapValueUpwards(); } /** * Returns the priority for the object at the specified index * @param index the index of the object * @return priority */ public double getPriority(int index) { return ((PriorityQueueElement) queue.get(index)).getPriority(); } /** * Restores the heap after inserting a new object */ private void heapValueUpwards() { int a = size(); int c = a / 2; PriorityQueueElement recentlyInsertedElement = (PriorityQueueElement) queue.get(a - 1); while (c > 0 && getPriority(c - 1) < recentlyInsertedElement.getPriority()) { queue.set(a - 1, queue.get(c - 1)); //shift parent-node down a = c; //(c <= 0) => no parent-node remains c = a / 2; } queue.set(a - 1, recentlyInsertedElement); } /** * Restores the heap after removing the next element */ private void heapValueDownwards() { int a = 1; int c = 2 * a; //descendant PriorityQueueElement priorityQueueElement = (PriorityQueueElement) queue.get(a - 1); if (c < size() && (getPriority(c) > getPriority(c - 1))) c++; while (c <= size() && getPriority(c - 1) > priorityQueueElement.getPriority()) { queue.set(a - 1, queue.get(c - 1)); a = c; c = 2 * a; if (c < size() && (getPriority(c) > getPriority(c - 1))) c++; } queue.set(a - 1, priorityQueueElement); } /** * Returns the queue's size * @return size */ public int size() { return queue.size(); } /** * Tests, if the queue has some more elements left * @return true, if there are any elements left, else false */ public boolean hasNext() { return !(size() == 0); } /** * Returns the element with the highest priority * @return next element */ public PriorityQueueElement next() { PriorityQueueElement next = (PriorityQueueElement) queue.get(0); queue.set(0, queue.get(size() - 1)); queue.remove(size() - 1); if (hasNext()) { heapValueDownwards(); } return next; } /** * Returns the revision string. * * @return the revision */ public String getRevision() { return RevisionUtils.extract("$Revision: 1.3 $"); } }




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