看了 @Liuyubobo 老师的 深度实战玩转算法 课程,感觉对自己解决问题的思路提供了很多帮助。本着毫不为己专门为人的精神[自己都脸红],在不破坏算法本身和最大限度保持和课程代码一致的前提下,使用canvas重写了这些课程中的代码。希望能给大家提供一些思路,写的可能不太好,希望大家多包涵,如果有好的思路和建议也可以在下面留言告诉我。
说明
本来的渲染应该是一边执行算法一边渲染的,但是js中没有sleep这种线程休眠的方法。尝试了一些类似的手段,结果发现会导致浏览器卡住。为了不破坏算法本身的意义,就采用了一种比较作弊的手段。先计算出所有的数据,保存在一个数组里,然后再使用
setInterval
来进行渲染。如果大家有更好的实现方式,可以在下面留言告诉我。
index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>选择排序算法动画</title>
</head>
<body >
<canvas id="canvas" >
当前浏览器不支持Canvas,请更换浏览器后再试
</canvas>
<script src="js/AlgoVisHelper.js"></script>
<script src="js/AlgoFrame.js"></script>
<script src="js/SelectionSortData.js"></script>
<script src="js/AlgoVisualizer.js"></script>
<script type="text/javascript">
window.onload = function(){
var sceneWidth = 1000;
var sceneHeight = 600;
var canvas = document.getElementById('canvas');
var g2d = canvas.getContext('2d');
canvas.width = sceneWidth;
canvas.height = sceneHeight;
var N = 100;
var visualizer = new AlgoVisualizer(g2d, sceneWidth, sceneHeight, 100);
}
</script>
</body>
</html>
AlgoVisHelper.js
class AlgoVisHelper{
// 构造函数
constructor() {}
static fillRectangle(g2d, x, y, w, h){
g2d.fillRect(x, y, w, h);
}
static setColor(g2d, color){
g2d.fillStyle = color;
}
}
// 类中的静态属性
AlgoVisHelper.Red = "#F44336";
AlgoVisHelper.Pink = "#E91E63";
AlgoVisHelper.Purple = "#9C27B0";
AlgoVisHelper.DeepPurple = "#673AB7";
AlgoVisHelper.Indigo = "#3F51B5";
AlgoVisHelper.Blue = "#2196F3";
AlgoVisHelper.LightBlue = "#03A9F4";
AlgoVisHelper.Cyan = "#00BCD4";
AlgoVisHelper.Teal = "#009688";
AlgoVisHelper.Green = "#4CAF50";
AlgoVisHelper.LightGreen = "#8BC34A";
AlgoVisHelper.Lime = "#CDDC39";
AlgoVisHelper.Yellow = "#FFEB3B";
AlgoVisHelper.Amber = "#FFC107";
AlgoVisHelper.Orange = "#FF9800";
AlgoVisHelper.DeepOrange = "#FF5722";
AlgoVisHelper.Brown = "#795548";
AlgoVisHelper.Grey = "#9E9E9E";
AlgoVisHelper.BlueGrey = "#607D8B";
AlgoVisHelper.Black = "#000000";
AlgoVisHelper.White = "#FFFFFF";
AlgoFrame.js
class AlgoFrame{
constructor(g2d, title, canvasWidth, canvasHeight) {
this.g2d = g2d;
this.canvasWidth = canvasWidth;
this.canvasHeight = canvasHeight;
}
getCanvasWidth() {
return this.canvasWidth;
}
getCanvasHeight() {
return this.canvasHeight;
}
repaint(){
// 具体绘制
this.g2d.clearRect(0, 0, this.canvasWidth, this.canvasHeight);
var w = this.canvasWidth / this.data.N();
for (var i = 0; i < this.data.N(); i++) {
if(i < this.data.orderedIndex){
AlgoVisHelper.setColor(this.g2d, AlgoVisHelper.Red);
}else{
AlgoVisHelper.setColor(this.g2d, AlgoVisHelper.Grey);
}
if(i == this.data.currentCompareIndex){
AlgoVisHelper.setColor(this.g2d, AlgoVisHelper.LightBlue);
}
if(i == this.data.currentMinIndex){
AlgoVisHelper.setColor(this.g2d, AlgoVisHelper.Indigo);
}
AlgoVisHelper.fillRectangle(this.g2d, i * w, this.canvasHeight - this.data.get(i), w - 1, this.data.get(i));
}
}
render(data) {
this.data = data;
this.repaint();
}
}
SelectionSortData.js
class SelectionSortData{
constructor(N, randomBound){
this.numbers = new Array(N);
this.orderedIndex = -1; // [0...orderedIndex) 是有序的
this.currentCompareIndex = -1; // 当前正在比较的元素索引
this.currentMinIndex = -1; // 当前找到的最小元素的索引
for( var i = 0 ; i < N ; i ++){
this.numbers[i] = parseInt((Math.random()*randomBound)) + 1;
}
}
N(){
return this.numbers.length;
}
get(index){
if( index < 0 || index >= this.numbers.length){
throw ReferenceError("Invalid index to access Sort Data.");
}
return this.numbers[index];
}
swap(i, j) {
if( i < 0 || i >= this.numbers.length || j < 0 || j >= this.numbers.length){
throw ReferenceError("Invalid index to access Sort Data.");
}
var t = this.numbers[i];
this.numbers[i] = this.numbers[j];
this.numbers[j] = t;
}
}
AlgoVisualizer.js
class AlgoVisualizer {
constructor(g2d, sceneWidth, sceneHeight, N) {
// 动画的执行速度[毫秒]
this.DELAY = 5;
this.g2d = g2d;
// 初始化数据
this.data = new SelectionSortData(N, sceneHeight);
// 动画整个存储
this.data_list = new Array();
// 初始化视图
this.frame = new AlgoFrame(g2d, "Selection Sort Visualization", sceneWidth, sceneHeight);
this.run();
}
// 生成数据逻辑
run() {
this.setData(0, -1, -1);
for (var i = 0; i < this.data.N(); i++) {
// 寻找[i, n) 区间里的最小值的索引
// [0,1) 前闭后开 0 <= n < 1
var minIndex = i;
this.setData(i, -1, minIndex);
for (var j = i + 1; j < this.data.N(); j++) {
this.setData(i, j, minIndex);
if (this.data.get(j) < this.data.get(minIndex)) {
minIndex = j;
this.setData(i, j, minIndex);
}
}
this.data.swap(i, minIndex);
this.setData(i + 1, -1, -1);
}
this.setData(this.data.N(), -1, -1);
// 渲染数据
this.render();
}
setData(orderedIndex, currentCompareIndex, currentMinIndex) {
var data = new SelectionSortData();
data.orderedIndex = orderedIndex;
data.currentCompareIndex = currentCompareIndex;
data.currentMinIndex = currentMinIndex;
data.numbers = this.data.numbers.slice();
this.data_list[this.data_list.length] = data
}
render(){
var i = 0;
setInterval(() => {
if(i < this.data_list.length){
this.frame.render(this.data_list[i]);
i++;
}
}, this.DELAY);
}
}
热门评论
大赞啊!感谢大佬厚爱!:)
对于你说的问题,可能考虑把算法执行过程中的状态进行打包,用一个数据结构来表示算法执行的中间态,而不仅仅是对数据打包了:)
大赞啊!感谢大佬厚爱!:)
对于你说的问题,可能考虑把算法执行过程中的状态进行打包,用一个数据结构来表示算法执行的中间态,而不仅仅是对数据打包了:)