📄 priorityqueue.java
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package org.apache.lucene.util;/** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *//** A PriorityQueue maintains a partial ordering of its elements such that the least element can always be found in constant time. Put()'s and pop()'s require log(size) time. */public abstract class PriorityQueue { private int size; private int maxSize; protected Object[] heap; /** Determines the ordering of objects in this priority queue. Subclasses must define this one method. */ protected abstract boolean lessThan(Object a, Object b); /** Subclass constructors must call this. */ protected final void initialize(int maxSize) { size = 0; int heapSize; if (0 == maxSize) // We allocate 1 extra to avoid if statement in top() heapSize = 2; else heapSize = maxSize + 1; heap = new Object[heapSize]; this.maxSize = maxSize; } /** * Adds an Object to a PriorityQueue in log(size) time. * If one tries to add more objects than maxSize from initialize * a RuntimeException (ArrayIndexOutOfBound) is thrown. */ public final void put(Object element) { size++; heap[size] = element; upHeap(); } /** * Adds element to the PriorityQueue in log(size) time if either * the PriorityQueue is not full, or not lessThan(element, top()). * @param element * @return true if element is added, false otherwise. */ public boolean insert(Object element) { return insertWithOverflow(element) != element; } /** * insertWithOverflow() is the same as insert() except its * return value: it returns the object (if any) that was * dropped off the heap because it was full. This can be * the given parameter (in case it is smaller than the * full heap's minimum, and couldn't be added), or another * object that was previously the smallest value in the * heap and now has been replaced by a larger one, or null * if the queue wasn't yet full with maxSize elements. */ public Object insertWithOverflow(Object element) { if (size < maxSize) { put(element); return null; } else if (size > 0 && !lessThan(element, heap[1])) { Object ret = heap[1]; heap[1] = element; adjustTop(); return ret; } else { return element; } } /** Returns the least element of the PriorityQueue in constant time. */ public final Object top() { // We don't need to check size here: if maxSize is 0, // then heap is length 2 array with both entries null. // If size is 0 then heap[1] is already null. return heap[1]; } /** Removes and returns the least element of the PriorityQueue in log(size) time. */ public final Object pop() { if (size > 0) { Object result = heap[1]; // save first value heap[1] = heap[size]; // move last to first heap[size] = null; // permit GC of objects size--; downHeap(); // adjust heap return result; } else return null; } /** Should be called when the Object at top changes values. Still log(n) * worst case, but it's at least twice as fast to <pre> * { pq.top().change(); pq.adjustTop(); } * </pre> instead of <pre> * { o = pq.pop(); o.change(); pq.push(o); } * </pre> */ public final void adjustTop() { downHeap(); } /** Returns the number of elements currently stored in the PriorityQueue. */ public final int size() { return size; } /** Removes all entries from the PriorityQueue. */ public final void clear() { for (int i = 0; i <= size; i++) heap[i] = null; size = 0; } private final void upHeap() { int i = size; Object node = heap[i]; // save bottom node int j = i >>> 1; while (j > 0 && lessThan(node, heap[j])) { heap[i] = heap[j]; // shift parents down i = j; j = j >>> 1; } heap[i] = node; // install saved node } private final void downHeap() { int i = 1; Object node = heap[i]; // save top node int j = i << 1; // find smaller child int k = j + 1; if (k <= size && lessThan(heap[k], heap[j])) { j = k; } while (j <= size && lessThan(heap[j], node)) { heap[i] = heap[j]; // shift up child i = j; j = i << 1; k = j + 1; if (k <= size && lessThan(heap[k], heap[j])) { j = k; } } heap[i] = node; // install saved node }}
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