forked from M3-Academy/challenge-algorithms-v2.0
138 lines
3.9 KiB
JavaScript
138 lines
3.9 KiB
JavaScript
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'use strict';
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Object.defineProperty(exports, '__esModule', {
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value: true
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});
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exports.default = void 0;
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/**
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* Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
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*
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* This source code is licensed under the MIT license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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/**
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* Priority queue that processes tasks in natural ordering (lower priority first)
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* according to the priority computed by the function passed in the constructor.
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*
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* FIFO ordering isn't guaranteed for tasks with the same priority.
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*
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* Worker specific tasks with the same priority as a non-worker specific task
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* are always processed first.
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*/
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class PriorityQueue {
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_queue = [];
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_sharedQueue = new MinHeap();
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constructor(_computePriority) {
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this._computePriority = _computePriority;
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}
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enqueue(task, workerId) {
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if (workerId == null) {
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this._enqueue(task, this._sharedQueue);
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} else {
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const queue = this._getWorkerQueue(workerId);
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this._enqueue(task, queue);
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}
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}
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_enqueue(task, queue) {
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const item = {
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priority: this._computePriority(task.request[2], ...task.request[3]),
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task
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};
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queue.add(item);
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}
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dequeue(workerId) {
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const workerQueue = this._getWorkerQueue(workerId);
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const workerTop = workerQueue.peek();
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const sharedTop = this._sharedQueue.peek();
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// use the task from the worker queue if there's no task in the shared queue
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// or if the priority of the worker queue is smaller or equal to the
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// priority of the top task in the shared queue. The tasks of the
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// worker specific queue are preferred because no other worker can pick this
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// specific task up.
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if (
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sharedTop == null ||
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(workerTop != null && workerTop.priority <= sharedTop.priority)
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) {
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return workerQueue.poll()?.task ?? null;
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}
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return this._sharedQueue.poll().task;
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}
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_getWorkerQueue(workerId) {
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let queue = this._queue[workerId];
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if (queue == null) {
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queue = this._queue[workerId] = new MinHeap();
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}
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return queue;
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}
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}
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exports.default = PriorityQueue;
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class MinHeap {
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_heap = [];
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peek() {
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return this._heap[0] ?? null;
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}
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add(item) {
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const nodes = this._heap;
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nodes.push(item);
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if (nodes.length === 1) {
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return;
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}
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let currentIndex = nodes.length - 1;
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// Bubble up the added node as long as the parent is bigger
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while (currentIndex > 0) {
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const parentIndex = Math.floor((currentIndex + 1) / 2) - 1;
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const parent = nodes[parentIndex];
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if (parent.priority <= item.priority) {
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break;
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}
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nodes[currentIndex] = parent;
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nodes[parentIndex] = item;
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currentIndex = parentIndex;
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}
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}
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poll() {
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const nodes = this._heap;
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const result = nodes[0];
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const lastElement = nodes.pop();
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// heap was empty or removed the last element
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if (result == null || nodes.length === 0) {
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return result ?? null;
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}
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let index = 0;
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nodes[0] = lastElement ?? null;
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const element = nodes[0];
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while (true) {
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let swapIndex = null;
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const rightChildIndex = (index + 1) * 2;
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const leftChildIndex = rightChildIndex - 1;
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const rightChild = nodes[rightChildIndex];
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const leftChild = nodes[leftChildIndex];
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// if the left child is smaller, swap with the left
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if (leftChild != null && leftChild.priority < element.priority) {
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swapIndex = leftChildIndex;
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}
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// If the right child is smaller or the right child is smaller than the left
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// then swap with the right child
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if (
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rightChild != null &&
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rightChild.priority < (swapIndex == null ? element : leftChild).priority
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) {
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swapIndex = rightChildIndex;
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}
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if (swapIndex == null) {
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break;
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}
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nodes[index] = nodes[swapIndex];
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nodes[swapIndex] = element;
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index = swapIndex;
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}
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return result;
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}
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}
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