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* heap and now has been replaced by a larger one, or null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 * { pq.top().change(); pq.adjustTop(); }
*

instead of * { o = pq.pop(); o.change(); pq.push(o); }
*

*/
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
}
}