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