283 lines
6.2 KiB
JavaScript
283 lines
6.2 KiB
JavaScript
/**
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* @module ol/structs/PriorityQueue
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*/
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import {assert} from '../asserts.js';
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import {clear} from '../obj.js';
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/**
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* @type {number}
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*/
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export const DROP = Infinity;
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/**
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* @classdesc
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* Priority queue.
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*
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* The implementation is inspired from the Closure Library's Heap class and
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* Python's heapq module.
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*
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* See http://closure-library.googlecode.com/svn/docs/closure_goog_structs_heap.js.source.html
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* and http://hg.python.org/cpython/file/2.7/Lib/heapq.py.
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*
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* @template T
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*/
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class PriorityQueue {
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/**
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* @param {function(T): number} priorityFunction Priority function.
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* @param {function(T): string} keyFunction Key function.
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*/
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constructor(priorityFunction, keyFunction) {
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/**
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* @type {function(T): number}
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* @private
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*/
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this.priorityFunction_ = priorityFunction;
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/**
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* @type {function(T): string}
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* @private
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*/
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this.keyFunction_ = keyFunction;
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/**
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* @type {Array<T>}
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* @private
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*/
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this.elements_ = [];
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/**
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* @type {Array<number>}
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* @private
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*/
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this.priorities_ = [];
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/**
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* @type {!Object<string, boolean>}
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* @private
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*/
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this.queuedElements_ = {};
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}
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/**
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* FIXME empty description for jsdoc
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*/
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clear() {
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this.elements_.length = 0;
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this.priorities_.length = 0;
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clear(this.queuedElements_);
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}
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/**
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* Remove and return the highest-priority element. O(log N).
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* @return {T} Element.
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*/
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dequeue() {
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const elements = this.elements_;
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const priorities = this.priorities_;
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const element = elements[0];
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if (elements.length == 1) {
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elements.length = 0;
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priorities.length = 0;
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} else {
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elements[0] = elements.pop();
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priorities[0] = priorities.pop();
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this.siftUp_(0);
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}
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const elementKey = this.keyFunction_(element);
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delete this.queuedElements_[elementKey];
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return element;
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}
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/**
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* Enqueue an element. O(log N).
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* @param {T} element Element.
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* @return {boolean} The element was added to the queue.
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*/
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enqueue(element) {
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assert(!(this.keyFunction_(element) in this.queuedElements_),
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31); // Tried to enqueue an `element` that was already added to the queue
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const priority = this.priorityFunction_(element);
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if (priority != DROP) {
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this.elements_.push(element);
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this.priorities_.push(priority);
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this.queuedElements_[this.keyFunction_(element)] = true;
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this.siftDown_(0, this.elements_.length - 1);
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return true;
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}
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return false;
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}
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/**
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* @return {number} Count.
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*/
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getCount() {
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return this.elements_.length;
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}
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/**
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* Gets the index of the left child of the node at the given index.
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* @param {number} index The index of the node to get the left child for.
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* @return {number} The index of the left child.
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* @private
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*/
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getLeftChildIndex_(index) {
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return index * 2 + 1;
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}
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/**
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* Gets the index of the right child of the node at the given index.
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* @param {number} index The index of the node to get the right child for.
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* @return {number} The index of the right child.
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* @private
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*/
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getRightChildIndex_(index) {
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return index * 2 + 2;
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}
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/**
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* Gets the index of the parent of the node at the given index.
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* @param {number} index The index of the node to get the parent for.
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* @return {number} The index of the parent.
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* @private
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*/
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getParentIndex_(index) {
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return (index - 1) >> 1;
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}
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/**
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* Make this a heap. O(N).
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* @private
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*/
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heapify_() {
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let i;
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for (i = (this.elements_.length >> 1) - 1; i >= 0; i--) {
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this.siftUp_(i);
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}
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}
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/**
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* @return {boolean} Is empty.
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*/
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isEmpty() {
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return this.elements_.length === 0;
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}
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/**
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* @param {string} key Key.
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* @return {boolean} Is key queued.
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*/
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isKeyQueued(key) {
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return key in this.queuedElements_;
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}
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/**
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* @param {T} element Element.
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* @return {boolean} Is queued.
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*/
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isQueued(element) {
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return this.isKeyQueued(this.keyFunction_(element));
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}
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/**
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* @param {number} index The index of the node to move down.
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* @private
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*/
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siftUp_(index) {
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const elements = this.elements_;
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const priorities = this.priorities_;
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const count = elements.length;
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const element = elements[index];
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const priority = priorities[index];
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const startIndex = index;
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while (index < (count >> 1)) {
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const lIndex = this.getLeftChildIndex_(index);
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const rIndex = this.getRightChildIndex_(index);
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const smallerChildIndex = rIndex < count &&
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priorities[rIndex] < priorities[lIndex] ?
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rIndex : lIndex;
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elements[index] = elements[smallerChildIndex];
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priorities[index] = priorities[smallerChildIndex];
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index = smallerChildIndex;
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}
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elements[index] = element;
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priorities[index] = priority;
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this.siftDown_(startIndex, index);
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}
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/**
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* @param {number} startIndex The index of the root.
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* @param {number} index The index of the node to move up.
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* @private
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*/
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siftDown_(startIndex, index) {
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const elements = this.elements_;
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const priorities = this.priorities_;
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const element = elements[index];
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const priority = priorities[index];
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while (index > startIndex) {
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const parentIndex = this.getParentIndex_(index);
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if (priorities[parentIndex] > priority) {
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elements[index] = elements[parentIndex];
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priorities[index] = priorities[parentIndex];
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index = parentIndex;
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} else {
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break;
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}
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}
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elements[index] = element;
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priorities[index] = priority;
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}
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/**
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* FIXME empty description for jsdoc
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*/
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reprioritize() {
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const priorityFunction = this.priorityFunction_;
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const elements = this.elements_;
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const priorities = this.priorities_;
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let index = 0;
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const n = elements.length;
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let element, i, priority;
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for (i = 0; i < n; ++i) {
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element = elements[i];
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priority = priorityFunction(element);
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if (priority == DROP) {
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delete this.queuedElements_[this.keyFunction_(element)];
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} else {
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priorities[index] = priority;
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elements[index++] = element;
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}
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}
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elements.length = index;
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priorities.length = index;
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this.heapify_();
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}
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}
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export default PriorityQueue;
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