I'm trying to create a little simulation with the help of HTML5 and Javascript using a canvas. My problem however is, I can't really think of a way to control the behavior of my pixels, without making every single pixel an object, which leads to an awful slowdown of my simulation.
Heres the code so far:
var pixels = [];
class Pixel{
constructor(color){
this.color=color;
}
}
window.onload=function(){
canv = document.getElementById("canv");
ctx = canv.getContext("2d");
createMap();
setInterval(game,1000/60);
};
function createMap(){
pixels=[];
for(i = 0; i <= 800; i++){
pixels.push(sub_pixels = []);
for(j = 0; j <= 800; j++){
pixels[i].push(new Pixel("green"));
}
}
pixels[400][400].color="red";
}
function game(){
ctx.fillStyle = "white";
ctx.fillRect(0,0,canv.width,canv.height);
for(i = 0; i <= 800; i++){
for(j = 0; j <= 800; j++){
ctx.fillStyle=pixels[i][j].color;
ctx.fillRect(i,j,1,1);
}
}
for(i = 0; i <= 800; i++){
for(j = 0; j <= 800; j++){
if(pixels[i][j].color == "red"){
direction = Math.floor((Math.random() * 4) + 1);
switch(direction){
case 1:
pixels[i][j-1].color= "red";
break;
case 2:
pixels[i+1][j].color= "red";
break;
case 3:
pixels[i][j+1].color= "red";
break;
case 4:
pixels[i-1][j].color= "red";
break;
}
}
}
}
}
function retPos(){
return Math.floor((Math.random() * 800) + 1);
}
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<script language="javascript" type="text/javascript" src="game.js"></script>
</head>
<body>
<canvas width="800px" height="800px" id="canv"></canvas>
</body>
</html>
So my two big questions are, what better way of controlling those pixels is there? And how can I speed up the pixel generation?
Hope you can help me.
Optimizing pixel manipulation
There are many options to speed up your code
Pixels as 32bit ints
The following will slug most machines with too much work.
// I removed fixed 800 and replaced with const size
for(i = 0; i <= size; i++){
for(j = 0; j <= size; j++){
ctx.fillStyle=pixels[i][j].color;
ctx.fillRect(i,j,1,1);
}
}
Don't write each pixel via a rect. Use the pixel data you can get from the canvas API via createImageData and associated functions. It uses typed arrays that are a little quicker than arrays and can have multiple view on the same content.
You can write all the pixels to the canvas in a single call. Not blindingly fast but a zillion times faster than what you are doing.
const size = 800;
const imageData = ctx.createImageData(size,size);
// get a 32 bit view
const data32 = new Uint32Array(imageData.data.buffer);
// To set a single pixel
data32[x+y*size] = 0xFF0000FF; // set pixel to red
// to set all pixels
data32.fill(0xFF00FF00); // set all to green
To get a pixel at a pixel coord
const pixel = data32[x + y * imageData.width];
See Accessing pixel data for more on using the image data.
The pixel data is not displayed until you put it onto the canvas
ctx.putImageData(imageData,0,0);
That will give you a major improvement.
Better data organization.
When performance is critical you sacrifice memory and simplicity to get more CPU cycles doing what you want and less doing a lot of nothing.
You have red pixels randomly expanding into the scene, you read every pixel and check (via a slow string comparison) if it is red. When you find one you add a random red pixel besides it.
Checking the green pixels is a waste and can be avoided. Expanding red pixels that are completely surrounded by other reds is also pointless. They do nothing.
The only pixels you are interested in are the red pixels that are next to green pixels.
Thus you can create a buffer that holds the location of all active red pixels, An active red has at least one green. Each frame you check all the active reds, spawning new ones if they can, and killing them if they are surrounded in red.
We don't need to store the x,y coordinate of each red, just the memory address so we can use a flat array.
const reds = new Uint32Array(size * size); // max size way over kill but you may need it some time.
You dont want to have to search for reds in your reds array so you need to keep track of how many active reds there are. You want all the active reds to be at the bottom of the array. You need to check each active red only once per frame. If a red is dead than all above it must move down one array index. But you only want to move each red only once per frame.
Bubble array
I dont know what this type of array is called its like a separation tank, dead stuff slowly moves up and live stuff moves down. Or unused items bubble up used items settle to the bottom.
I will show it as functional because it will be easier to understand. but is better implemented as one brute force function
// data32 is the pixel data
const size = 800; // width and height
const red = 0xFF0000FF; // value of a red pixel
const green = 0xFF00FF00; // value of a green pixel
const reds = new Uint32Array(size * size); // max size way over kill but you var count = 0; // total active reds
var head = 0; // index of current red we are processing
var tail = 0; // after a red has been process it is move to the tail
var arrayOfSpawnS = [] // for each neighbor that is green you want
// to select randomly to spawn to. You dont want
// to spend time processing so this is a lookup
// that has all the possible neighbor combinations
for(let i = 0; i < 16; i ++){
let j = 0;
const combo = [];
i & 1 && (combo[j++] = 1); // right
i & 2 && (combo[j++] = -1); // left
i & 4 && (combo[j++] = -size); // top
i & 5 && (combo[j++] = size); // bottom
arrayOfSpawnS.push(combo);
}
function addARed(x,y){ // add a new red
const pixelIndex = x + y * size;
if(data32[pixelIndex] === green) { // check if the red can go there
reds[count++] = pixelIndex; // add the red with the pixel index
data32[pixelIndex] = red; // and set the pixel
}
}
function safeAddRed(pixelIndex) { // you know that some reds are safe at the new pos so a little bit faster
reds[count++] = pixelIndex; // add the red with the pixel index
data32[pixelIndex] = red; // and set the pixel
}
// a frame in the life of a red. Returns false if red is dead
function processARed(indexOfRed) {
// get the pixel index
var pixelIndex = reds[indexOfRed];
// check reds neighbors right left top and bottom
// we fill a bit value with each bit on if there is a green
var n = data32[pixelIndex + 1] === green ? 1 : 0;
n += data32[pixelIndex - 1] === green ? 2 : 0;
n += data32[pixelIndex - size] === green ? 4 : 0;
n += data32[pixelIndex + size] === green ? 8 : 0;
if(n === 0){ // no room to spawn so die
return false;
}
// has room to spawn so pick a random
var nCount = arrayOfSpawnS[n].length;
// if only one spawn point then rather than spawn we move
// this red to the new pos.
if(nCount === 1){
reds[indexOfRed] += arrayOfSpawnS[n][0]; // move to next pos
}else{ // there are several spawn points
safeAddRed(pixelIndex + arrayOfSpawnS[n][(Math.random() * nCount)|0]);
}
// reds frame is done so return still alive to spawn another frame
return true;
}
Now to process all the reds.
This is the heart of the bubble array. head is used to index each active red. tail is the index of where to move the current head if no deaths have been encountered tail is equal to head. If however a dead item is encountered the head move up one while the tail remains pointing to the dead item. This moves all the active items to the bottom.
When head === count all active items have been checked. The value of tail now contains the new count which is set after the iteration.
If you were using an object rather than a Integer, instead of moving the active item down you swap the head and tail items. This effectively creates a pool of available objects that can be used when adding new items. This type of array management incurs not GC or Allocation overhead and is hence very quick when compared to stacks and object pools.
function doAllReds(){
head = tail = 0; // start at the bottom
while(head < count){
if(processARed(head)){ // is red not dead
reds[tail++] = reds[head++]; // move red down to the tail
}else{ // red is dead so this creates a gap in the array
// Move the head up but dont move the tail,
// The tail is only for alive reds
head++;
}
}
// All reads done. The tail is now the new count
count = tail;
}
The Demo.
The demo will show you the speed improvement. I used the functional version and there could be some other tweaks.
You can also consider webWorkers to get event more speed. Web worker run on a separate javascript context and provides true concurrent processing.
For the ultimate speed use WebGL. All the logic can be done via a fragment shader on the GPU. This type of task is very well suited to parallel processing for which the GPU is designed.
Will be back later to clean up this answer (got a little too long)
I have also added a boundary to the pixel array as the reds were spawning off the pixel array.
const size = canvas.width;
canvas.height = canvas.width;
const ctx = canvas.getContext("2d");
const red = 0xFF0000FF;
const green = 0xFF00FF00;
const reds = new Uint32Array(size * size);
const wall = 0xFF000000;
var count = 0;
var head = 0;
var tail = 0;
var arrayOfSpawnS = []
for(let i = 0; i < 16; i ++){
let j = 0;
const combo = [];
i & 1 && (combo[j++] = 1); // right
i & 2 && (combo[j++] = -1); // left
i & 4 && (combo[j++] = -size); // top
i & 5 && (combo[j++] = size); // bottom
arrayOfSpawnS.push(combo);
}
const imageData = ctx.createImageData(size,size);
const data32 = new Uint32Array(imageData.data.buffer);
function createWall(){//need to keep the reds walled up so they dont run free
for(let j = 0; j < size; j ++){
data32[j] = wall;
data32[j * size] = wall;
data32[j * size + size - 1] = wall;
data32[size * (size - 1) +j] = wall;
}
}
function addARed(x,y){
const pixelIndex = x + y * size;
if (data32[pixelIndex] === green) {
reds[count++] = pixelIndex;
data32[pixelIndex] = red;
}
}
function processARed(indexOfRed) {
var pixelIndex = reds[indexOfRed];
var n = data32[pixelIndex + 1] === green ? 1 : 0;
n += data32[pixelIndex - 1] === green ? 2 : 0;
n += data32[pixelIndex - size] === green ? 4 : 0;
n += data32[pixelIndex + size] === green ? 8 : 0;
if(n === 0) { return false }
var nCount = arrayOfSpawnS[n].length;
if (nCount === 1) { reds[indexOfRed] += arrayOfSpawnS[n][0] }
else {
pixelIndex += arrayOfSpawnS[n][(Math.random() * nCount)|0]
reds[count++] = pixelIndex;
data32[pixelIndex] = red;
}
return true;
}
function doAllReds(){
head = tail = 0;
while(head < count) {
if(processARed(head)) { reds[tail++] = reds[head++] }
else { head++ }
}
count = tail;
}
function start(){
data32.fill(green);
createWall();
var startRedCount = (Math.random() * 5 + 1) | 0;
for(let i = 0; i < startRedCount; i ++) { addARed((Math.random() * size-2+1) | 0, (Math.random() * size-2+1) | 0) }
ctx.putImageData(imageData,0,0);
setTimeout(doItTillAllDead,1000);
countSameCount = 0;
}
var countSameCount;
var lastCount;
function doItTillAllDead(){
doAllReds();
ctx.putImageData(imageData,0,0);
if(count === 0 || countSameCount === 100){ // all dead
setTimeout(start,1000);
}else{
countSameCount += count === lastCount ? 1 : 0;
lastCount = count; //
requestAnimationFrame(doItTillAllDead);
}
}
start();
<canvas width="800" height="800" id="canvas"></canvas>
The main cause of your slow down is your assumption that you need to loop over every pixel for every operation. You do not do this, as that would be 640,000 iterations for every operation you need to do.
You also shouldn't be doing any manipulation logic within the render loop. The only thing that should be there is drawing code. So this should be moved out to preferably a separate thread (Web Workers). If unable to use those a setTimeout/Interval call.
So first a couple of small changes:
Make Pixel class contain the pixel's coordinates along with the color:
class Pixel{
constructor(color,x,y){
this.color=color;
this.x = x;
this.y = y;
}
}
Keep an array of pixels that will end up creating new red pixels. And another one to keep track of what pixels have been updated so we know which ones need drawn.
var pixels = [];
var infectedPixesl = [];
var updatedPixels = [];
Now the easiest part of the code to change is the render loop. Since the only thing that it needs to do is draw the pixels it will be only a couple lines.
function render(){
var numUpdatedPixels = updatedPixels.length;
for(let i=0; i<numUpdatedPixels; i++){
let pixel = updatedPixels[i];
ctx.fillStyle = pixel.color;
ctx.fillRect(pixel.x,pixel.y,1,1);
}
//clear out the updatedPixels as they should no longer be considered updated.
updatedPixels = [];
//better method than setTimeout/Interval for drawing
requestAnimationFrame(render);
}
From there we can move on to the logic. We will loop over the infectedPixels array, and with each pixel we decide a random direction and get that pixel. If this selected pixel is red we do nothing and continue on. Otherwise we change it's color and add it to a temporary array affectedPixels. After which we test to see if all the pixels around the original pixel are all red, if so we can remove it from the infectedPixels as there is no need to check it again. Then add all the pixels from affectedPixels onto the infectedPixels as these are now new pixels that need to be checked. And the last step is to also add affectedPixels onto updatedPixels so that the render loop draws the changes.
function update(){
var affectedPixels = [];
//needed as we shouldn't change an array while looping over it
var stillInfectedPixels = [];
var numInfected = infectedPixels.length;
for(let i=0; i<numInfected; i++){
let pixel = infectedPixels[i];
let x = pixel.x;
let y = pixel.y;
//instead of using a switch statement, use the random number as the index
//into a surroundingPixels array
let surroundingPixels = [
(pixels[x] ? pixels[x][y - 1] : null),
(pixels[x + 1] ? pixels[x + 1][y] : null),
(pixels[x] ? pixels[x][y + 1] : null),
(pixels[x - 1] ? pixels[x - 1][y] : null)
].filter(p => p);
//filter used above to remove nulls, in the cases of edge pixels
var rand = Math.floor((Math.random() * surroundingPixels.length));
let selectedPixel = surroundingPixels[rand];
if(selectedPixel.color == "green"){
selectedPixel.color = "red";
affectedPixels.push(selectedPixel);
}
if(!surroundingPixels.every(p=>p.color=="red")){
stillInfectedPixels.push(pixel);
}
}
infectedPixels = stillInfectedPixel.concat( affectedPixels );
updatedPixels.push(...affectedPixels);
}
Demo
var pixels = [],
infectedPixels = [],
updatedPixels = [],
canv, ctx;
window.onload = function() {
canv = document.getElementById("canv");
ctx = canv.getContext("2d");
createMap();
render();
setInterval(() => {
update();
}, 16);
};
function createMap() {
for (let y = 0; y < 800; y++) {
pixels.push([]);
for (x = 0; x < 800; x++) {
pixels[y].push(new Pixel("green",x,y));
}
}
pixels[400][400].color = "red";
updatedPixels = [].concat(...pixels);
infectedPixels.push(pixels[400][400]);
}
class Pixel {
constructor(color, x, y) {
this.color = color;
this.x = x;
this.y = y;
}
}
function update() {
var affectedPixels = [];
var stillInfectedPixels = [];
var numInfected = infectedPixels.length;
for (let i = 0; i < numInfected; i++) {
let pixel = infectedPixels[i];
let x = pixel.x;
let y = pixel.y;
let surroundingPixels = [
(pixels[x] ? pixels[x][y - 1] : null),
(pixels[x + 1] ? pixels[x + 1][y] : null),
(pixels[x] ? pixels[x][y + 1] : null),
(pixels[x - 1] ? pixels[x - 1][y] : null)
].filter(p => p);
var rand = Math.floor((Math.random() * surroundingPixels.length));
let selectedPixel = surroundingPixels[rand];
if (selectedPixel.color == "green") {
selectedPixel.color = "red";
affectedPixels.push(selectedPixel);
}
if (!surroundingPixels.every(p => p.color == "red")) {
stillInfectedPixels.push(pixel);
}
}
infectedPixels = stillInfectedPixels.concat(affectedPixels);
updatedPixels.push(...affectedPixels);
}
function render() {
var numUpdatedPixels = updatedPixels.length;
for (let i = 0; i < numUpdatedPixels; i++) {
let pixel = updatedPixels[i];
ctx.fillStyle = pixel.color;
ctx.fillRect(pixel.x, pixel.y, 1, 1);
}
updatedPixels = [];
requestAnimationFrame(render);
}
<canvas id="canv" width="800" height="800"></canvas>
Related
So I wrote a flood fill function that works like a paint-app bucket tool: you click inside a closed shape and it'll fill with a color.
I have two problems with it:
performance - let's say my canvas is 600*600 (370,000 pixels) and I draw a big circle in it that for example has about 100K pixels in it, it can take about 40(!!!) seconds to fill this circle! thats insane!
A sqaure of exactly 10,000 pixels takes 0.4-0.5 seconds on average, but (I guess) since the sizes of the arrays used the program are growing so much, a sqaure 10 times the size takes about 100 times the length to fill.
there's something wierd about the filling. I'm not really sure how it happens but it's always leaving a few un-filled pixels. Not much at all, but it's really wierd.
My flood fill function uses 4 helper-functions: get and set pixel color, checking if it's a color to fill, and checking if that's a pixel that has been checked before.
Here are all the functions:
getPixelColor = (x, y) => {
let pixelColor = [];
for (let i = 0; i < pixDens; ++i) {
for (let j = 0; j < pixDens; ++j) {
index = 4 * ((y * pixDens + j) * width * pixDens + (x * pixDens + i));
pixelColor[0] = pixels[index];
pixelColor[1] = pixels[index + 1];
pixelColor[2] = pixels[index + 2];
pixelColor[3] = pixels[index + 3];
}
}
return pixelColor;
};
setPixelColor = (x, y, currentColor) => { //Remember to loadPixels() before using this function, and to updatePixels() after.
for (let i = 0; i < pixDens; ++i) {
for (let j = 0; j < pixDens; ++j) {
index = 4 * ((y * pixDens + j) * width * pixDens + (x * pixDens + i));
pixels[index] = currentColor[0];
pixels[index + 1] = currentColor[1];
pixels[index + 2] = currentColor[2];
pixels[index + 3] = currentColor[3];
}
}
}
isDuplicate = (posHistory, vector) => {
for (let i = 0; i < posHistory.length; ++i) {
if (posHistory[i].x === vector.x && posHistory[i].y === vector.y) {
return true;
}
}
return false;
}
compareColors = (firstColor, secondColor) => {
for (let i = 0; i < firstColor.length; ++i) {
if (firstColor[i] !== secondColor[i]) {
return false;
}
}
return true;
}
floodFill = () => {
loadPixels();
let x = floor(mouseX);
let y = floor(mouseY);
let startingColor = getPixelColor(x, y);
if (compareColors(startingColor, currentColor)) {
return false;
}
let pos = [];
pos.push(createVector(x, y));
let posHistory = [];
posHistory.push(createVector(x, y));
while (pos.length > 0) {
x = pos[0].x;
y = pos[0].y;
pos.shift();
if (x <= width && x >= 0 && y <= height && y >= 0) {
setPixelColor(x, y, currentColor);
let xMinus = createVector(x - 1, y);
if (!isDuplicate(posHistory, xMinus) && compareColors(getPixelColor(xMinus.x, xMinus.y), startingColor)) {
pos.push(xMinus);
posHistory.push(xMinus);
}
let xPlus = createVector(x + 1, y);
if (!isDuplicate(posHistory, xPlus) && compareColors(getPixelColor(xPlus.x, xPlus.y), startingColor)) {
pos.push(xPlus);
posHistory.push(xPlus);
}
let yMinus = createVector(x, y - 1);
if (!isDuplicate(posHistory, yMinus) && compareColors(getPixelColor(yMinus.x, yMinus.y), startingColor)) {
pos.push(yMinus);
posHistory.push(yMinus);
}
let yPlus = createVector(x, y + 1);
if (!isDuplicate(posHistory, yPlus) && compareColors(getPixelColor(yPlus.x, yPlus.y), startingColor)) {
pos.push(yPlus);
posHistory.push(yPlus);
}
}
}
updatePixels();
}
I would really apprciate it if someone could help me solve the problems with the functions.
Thank you very much!!
EDIT: So I updated my flood fill function itself and removed an array of colors that I never used. this array was pretty large and a few push() and a shift() methods called on it on pretty much every run.
UNFORTUNATLY, the execution time is 99.9% the same for small shapes (for example, a fill of 10,000 takes the same 0.5 seconds, but large fills, like 100,000 pixels now takes about 30 seconds and not 40, so that's a step in the right direction.
I guess that RAM usage is down as well since it was a pretty large array but I didn't measured it.
The wierd problem where it leaves un-filled pixels behind is still here as well.
A little suggestion:
You don't actually have to use the posHistory array to determine whether to set color. If the current pixel has the same color as startingColor then set color, otherwise don't set. This would have the same effect.
The posHistory array would grow larger and larger during execution. As a result, a lot of work has to be done just to determine whether to fill a single pixel. I think this might be the reason behind your code running slowly.
As for the "weird thing":
This also happened to me before. I think that's because the unfilled pixels do not have the same color as startingColor. Say you draw a black shape on a white background, you would expect to see some gray pixels (close to white) between the black and white parts somewhere. These pixels play the role of smoothing the shape.
I am working on a procedural terrain generator, but the 3d Map is constantly morphing and changing, calling for at least 4d noise (5d if I need to make it loop). I haven't found a good perlin/simplex noise library that will work in this many dimensions, so I thought this would be a good time to learn how those algorithms work. After starting to make my own "perlin" noise, I found a large problem. I need to get a psudo random value based on the nD coordinates of that point. So far I have found solutions online that use the dot product of a single point and a vector generated by the inputs, but those became very predictable very fast (I'm not sure why). I then tried a recursive approach (below), and this worked ok, but I got some weird behavior towards the edges.
Recursive 3d randomness attempt:
function Rand(seed = 123456, deg = 1){
let s = seed % 2147483647;
s = s < 1 ? s + 2147483647 : s;
while(deg > 0){
s = s * 16807 % 2147483647;
deg--;
}
return (s - 1) / 2147483646;
}
function DimRand(seed, args){
if(args.length < 2){
return Rand(seed, args[0]);
}else{
let zero = args[0];
args.shift();
return DimRand(Rand(seed, zero), args);
}
}
var T = 1;
var c = document.getElementById('canvas').getContext('2d');
document.getElementById('canvas').height = innerHeight;
document.getElementById('canvas').width = innerWidth;
c.width = innerWidth;
c.height = innerHeight;
var size = 50;
function display(){
for(let i = 0; i < 20; i ++){
for(let j = 0; j < 20; j ++){
var bright = DimRand(89,[i,j])*255
c.fillStyle = `rgb(${bright},${bright},${bright})`
c.fillRect(i*size, j*size, size, size);
}
}
T++;
}
window.onmousedown=()=>{display();}
And here is the result:
The top row was always 1 (White), the 2d row and first column were all 0 (Black), and the 3d row was always very dark (less than ≈ 0.3)
This might just be a bug, or I might have to just deal with it, but I was wondering if there was a better approach.
This is a bit complicated to describe, so please bear with me.
I'm using the HTML5 canvas to extend a diagramming tool (Diagramo). It implements multiple types of line, straight, jagged (right angle) and curved (cubic or quadratic). These lines can be solid, dotted or dashed.
The new feature I am implementing is a "squiggly" line, where instead of following a constant path, the line zigzags back and forth across the desired target path in smooth arcs.
Below is an example of this that is correct. This works in most cases, however, in certain edge cases it does not.
The implementation is to take the curve, use the quadratic or cubic functions to estimate equidistance points along the line, and draw squiggles along these straight lines by placing control points on either side of the straight line (alternating) and drawing multiple cubic curves.
The issues occur when the line is relatively short, and doubles back on itself close to the origin. An example is below, this happens on longer lines too - the critical point is that there is a very small sharp curve immediately after the origin. In this situation the algorithm picks the first point after the sharp curve, in some cases immediately next to the origin, and considers that the first segment.
Each squiggle has a minimum/maximum pixel length of 8px/14px (which I can change, but much below that and it becomes too sharp, and above becomes too wavy) the code tries to find the right sized squiggle for the line segment to fit with the minimum empty space, which is then filled by a straight line.
I'm hoping there is a solution to this that can account for sharply curved lines, if I know all points along a line can I choose control points that alternate either side of the line, perpendicular too it?
Would one option be to consider a point i and the points i-1 and i+1 and use that to determine the orientation of the line, and thus pick control points?
Code follows below
//fragment is either Cubic or Quadratic curve.
paint(fragment){
var length = fragment.getLength();
var points = Util.equidistancePoints(fragment, length < 100 ? (length < 50 ? 3: 5): 11);
points.splice(0, 1); //remove origin as that is the initial point of the delegate.
//points.splice(0, 1);
delegate.paint(context, points);
}
/**
*
* #param {QuadCurve} or {CubicCurbe} curve
* #param {Number} m the number of points
* #return [Point] a set of equidistance points along the polyline of points
* #author Zack
* #href http://math.stackexchange.com/questions/321293/find-coordinates-of-equidistant-points-in-bezier-curve
*/
equidistancePoints: function(curve, m){
var points = curve.getPoints(0.001);
// Get fractional arclengths along polyline
var n = points.length;
var s = 1.0/(n-1);
var dd = [];
var cc = [];
var QQ = [];
function findIndex(dd, d){
var i = 0;
for (var j = 0 ; j < dd.length ; j++){
if (d > dd[j]) {
i = j;
}
else{
return i;
}
}
return i;
};
dd.push(0);
cc.push(0);
for (var i = 0; i < n; i++){
if(i >0) {
cc.push(Util.distance(points[i], points[i - 1]));
}
}
for (var i = 1 ; i < n ; i++) {
dd.push(dd[i-1] + cc[i]);
}
for (var i = 1 ; i < n ; i++) {
dd[i] = dd[i]/dd[n-1];
}
var step = 1.0/(m-1);
for (var r = 0 ; r < m ; r++){
var d = parseFloat(r)*step;
var i = findIndex(dd, d);
var u = (d - dd[i]) / (dd[i+1] - dd[i]);
var t = (i + u)*s;
QQ[r] = curve.getPoint(t);
}
return QQ;
}
SquigglyLineDelegate.prototype = {
constructor: SquigglyLineDelegate,
paint: function(context, points){
var squiggles = 0;
var STEP = 0.1;
var useStart = false;
var bestSquiggles = -1;
var bestA = 0;
var distance = Util.distance(points[0], this.start);
for(var a = SquigglyLineDelegate.MIN_SQUIGGLE_LENGTH; a < SquigglyLineDelegate.MAX_SQUIGGLE_LENGTH; a += STEP){
squiggles = distance / a;
var diff = Math.abs(Math.floor(squiggles) - squiggles);
if(diff < bestSquiggles || bestSquiggles == -1){
bestA = a;
bestSquiggles = diff;
}
}
squiggles = distance / bestA;
for(var i = 0; i < points.length; i++){
context.beginPath();
var point = points[i];
for(var s = 0; s < squiggles-1; s++){
var start = Util.point_on_segment(this.start, point, s * bestA);
var end = Util.point_on_segment(this.start, point, (s + 1) * bestA);
var mid = Util.point_on_segment(this.start, point, (s + 0.5) * bestA);
end.style.lineWidth = 1;
var line1 = new Line(Util.point_on_segment(mid, end, -this.squiggleWidth), Util.point_on_segment(mid, end, this.squiggleWidth));
var mid1 = Util.getMiddle(line1.startPoint, line1.endPoint);
line1.transform(Matrix.translationMatrix(-mid1.x, -mid1.y));
line1.transform(Matrix.rotationMatrix(radians = 90 * (Math.PI/180)));
line1.transform(Matrix.translationMatrix(mid1.x, mid1.y));
var control1 = useStart ? line1.startPoint : line1.endPoint;
var curve = new QuadCurve(start, control1, end);
curve.style = null;
curve.paint(context);
useStart = !useStart;
}
this.start = point;
context.lineTo(point.x, point.y);
context.stroke();
}
}
}
I am working on a web audio stochastic oscillator and am having trouble with the scriptProcessorNode. My algorithm uses a random walk to determine dynamic breakpoints in the waveform and then interpolates between them.
As the breakpoints move on the x axis I thought the frequency of the oscillating waveform would change, but there is just a filtering effect, and the frequency seems to just be determined by the scriptProcessorNode buffer size, which must be a power of 2 between 256 and 16384.
How do you change the frequency of a scriptProcessorNode oscillator?
Here is my synthesis code:
scriptNode.onaudioprocess = function(audioProcessingEvent) {
walk(); //use random walk to generate new x/y position for each breakpoint
var outputBuffer = audioProcessingEvent.outputBuffer;
var lastPoint = 0;
var index = 0;
// linearly interpolate between the new breakpoint positions
for(var i = 0; i < breakpoint.length-1; i++) {
var y = breakpoint[lastPoint].y;
for(var channel = 0; channel <= 0;channel++) {
var outputData = outputBuffer.getChannelData(channel);
if(i != 0){
if(y >= breakpoint[i].y) {
while(y >= breakpoint[i].y) {
y = (breakpoint[i].m*index)+breakpoint[i].b;// y = m(x)+b
outputData[index] = y;
index++;
}
} else if(y <= breakpoint[i].y) {
while(y <= breakpoint[i].y) {
y = (breakpoint[i].m*index)+breakpoint[i].b;
outputData[index] = y;
index++;
}
}
}
}
lastPoint = i;
}
}
And here is a link to a working example: http://andrewbernste.in/bernie/gendy011.html
This is all based on Iannis Xenakis' GENDY stochastic synthesis program.
Thanks!
I solved the problem by using an index variable outside of my scriptNode.onaudioprocess function to write the waveform to the scriptNode buffer. That way the frequency at which the waveform is written to the buffer is not tied to the size of the buffer.
Here is the final code:
var index = 0;
var freq = 0.8;
scriptNode.onaudioprocess = function(audioProcessingEvent){
var outputBuffer = audioProcessingEvent.outputBuffer;
var outputData = outputBuffer.getChannelData(0);
for(var j = 0; j < outputData.length;j++){
// linearly interpolate between the new breakpoint positions
// get the interp point by comparing index to the x distance
var lerp = (index - breakpoint[point].x) / (breakpoint[point+1].x - breakpoint[point].x)
y = nx.interp(lerp,breakpoint[point].y,breakpoint[point+1].y);
if(point < breakpoint.length && index >= breakpoint[point+1].x) {
point++;
}
outputData[j] = y;
index+=freq;
if(index >= breakpoint[breakpoint.length-1].x){
index = 0;
point = 0;
walk();
}
}
}
I'm doing a BattleShip game in javascript with iio engine.
I'm trying to play against a computer so I have to put a random position for the ships (I hope you know the game :) ).
I have 5 ships that have to be placed in a grid (10x10). The problem is that the function is pretty slow, and sometimes the page don't get load at all.
I want to know if there are some emprovement for the speed of these function, I'm a little bit newbie :D
function posShips(size){
// var size -> size of the ship
var isOk = false; // flag var to check if the ship is in a right position
var isOk2 = true; // flag var, become false if the cell is already fill with another ship
var i;
var j;
var side; // horizontal or vertical
while(!isOk){
i = iio.getRandomInt(1,11);
j = iio.getRandomInt(1,11);
side = iio.getRandomInt(0,2);
if((side ? j : i)+size-1 < 11){ // Not out of the array
for (var k = 0; k < size; k++) { // Size of the ship
if(side){
if(gridHit[i][j+k].stat == "empty"){ //If is empty put the ship
gridHit[i][j+k].stat = "ship";
gridHit[i][j+k].setFillStyle("red")
}else{ // If not empty
isOk2 = false; //Position is not good, do all the thing again.
for (var a = 0; a < size; a++) { // Reset cell
gridHit[i][j+a].stat = "empty";
}
k = 10;
}
}else{
if(gridHit[i+k][j].stat == "empty"){ //If is empty put the ship
gridHit[i+k][j].stat = "ship";
gridHit[i+k][j].setFillStyle("red")
}else{ // If not empty
isOk2 = false; //Position is not good, do all the thing again.
for (var a = 0; a < size; a++) { // Reset cell
gridHit[i+a][j].stat = "empty";
}
k = 10;
}
}
};
if(isOk2)
isOk = true;
}
}
}
Don't pick ship positions that will fall outside the grid. Pick the direction first, and then limit the x and y initial positions based on size. e.g. if the size is 3, there's no point going above 7 for the initial value of the varying coordinate.
Don't change the array while you're searching. Do the search first, and only afterwards update the array. This avoids any "cleanup" operation.
Wherever possible, eliminate repeated deep object references. If accessing grid[y][x] repeatedly for differing x, take a reference to grid[y] first, and then use that for the subsequent accesses.
Break out of loops early, there's no point continuing to test a position if a previous one already failed.
Place your big ships first - it's easier to fit small ships into the gaps left between the big ones.
See http://jsfiddle.net/alnitak/Rp9Ke/ for my implementation, with the equivalent of your function being this:
this.place = function(size) {
// faster array access
var g = this.grid;
// initial direction, and vector
var dir = rand(2); // 0 - y, 1 - x
var dx = dir ? 1 : 0;
var dy = dir ? 0 : 1; // or 1 - dx
LOOP: while (true) {
// initial position
var x = dir ? rand(10 - size) : rand(10);
var y = dir ? rand(10) : rand(10 - size);
// test points
var n = size, tx = x, ty = y;
while (n--) {
if (g[ty][tx]) continue LOOP;
tx += dx;
ty += dy;
}
// fill points
n = size;
while (n--) {
g[y][x] = size;
x += dx;
y += dy;
}
break;
}
};