Java/Collections Data Structure/Priority List
Версия от 18:01, 31 мая 2010; (обсуждение)
A basic priority linked list: maintaining an individual LinkedList for each priority level.
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import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.ListIterator;
import java.util.NoSuchElementException;
/**
* A basic priority linked list
*
* It implements this by maintaining an individual LinkedList for each priority
* level.
*
* @author
* @version <tt>$Revision: 1174 $</tt>
*
* $Id: BasicPrioritizedDeque.java 1174 2006-08-02 14:14:32Z timfox $
*/
public class BasicPriorityLinkedList {
protected LinkedList[] linkedLists;
protected int priorities;
protected int size;
public BasicPriorityLinkedList(int priorities) {
this.priorities = priorities;
initDeques();
}
public void addFirst(Object obj, int priority) {
linkedLists[priority].addFirst(obj);
size++;
}
public void addLast(Object obj, int priority) {
linkedLists[priority].addLast(obj);
size++;
}
public Object removeFirst() {
Object obj = null;
// Initially we are just using a simple prioritization algorithm:
// Highest priority refs always get returned first.
// This could cause starvation of lower priority refs.
// TODO - A better prioritization algorithm
for (int i = priorities - 1; i >= 0; i--) {
LinkedList ll = linkedLists[i];
if (!ll.isEmpty()) {
obj = ll.removeFirst();
break;
}
}
if (obj != null) {
size--;
}
return obj;
}
public Object removeLast() {
Object obj = null;
// Initially we are just using a simple prioritization algorithm:
// Lowest priority refs always get returned first.
// TODO - A better prioritization algorithm
for (int i = 0; i < priorities; i++) {
LinkedList ll = linkedLists[i];
if (!ll.isEmpty()) {
obj = ll.removeLast();
}
if (obj != null) {
break;
}
}
if (obj != null) {
size--;
}
return obj;
}
public Object peekFirst() {
Object obj = null;
// Initially we are just using a simple prioritization algorithm:
// Highest priority refs always get returned first.
// This could cause starvation of lower priority refs.
// TODO - A better prioritization algorithm
for (int i = priorities - 1; i >= 0; i--) {
LinkedList ll = linkedLists[i];
if (!ll.isEmpty()) {
obj = ll.getFirst();
}
if (obj != null) {
break;
}
}
return obj;
}
public List getAll() {
List all = new ArrayList();
for (int i = priorities - 1; i >= 0; i--) {
LinkedList deque = linkedLists[i];
all.addAll(deque);
}
return all;
}
public void clear() {
initDeques();
}
public int size() {
return size;
}
public boolean isEmpty() {
return size == 0;
}
public ListIterator iterator() {
return new PriorityLinkedListIterator(linkedLists);
}
protected void initDeques() {
linkedLists = new LinkedList[priorities];
for (int i = 0; i < priorities; i++) {
linkedLists[i] = new LinkedList();
}
size = 0;
}
class PriorityLinkedListIterator implements ListIterator {
private LinkedList[] lists;
private int index;
private ListIterator currentIter;
PriorityLinkedListIterator(LinkedList[] lists) {
this.lists = lists;
index = lists.length - 1;
currentIter = lists[index].listIterator();
}
public void add(Object arg0) {
throw new UnsupportedOperationException();
}
public boolean hasNext() {
if (currentIter.hasNext()) {
return true;
}
while (index >= 0) {
if (index == 0 || currentIter.hasNext()) {
break;
}
index--;
currentIter = lists[index].listIterator();
}
return currentIter.hasNext();
}
public boolean hasPrevious() {
throw new UnsupportedOperationException();
}
public Object next() {
if (!hasNext()) {
throw new NoSuchElementException();
}
return currentIter.next();
}
public int nextIndex() {
throw new UnsupportedOperationException();
}
public Object previous() {
throw new UnsupportedOperationException();
}
public int previousIndex() {
throw new UnsupportedOperationException();
}
public void remove() {
currentIter.remove();
size--;
}
public void set(Object obj) {
throw new UnsupportedOperationException();
}
}
}