Files
dodgeball-tracker/frontend/animation.js
T
2024-01-29 07:50:13 -05:00

67 lines
1.8 KiB
JavaScript

import anime from "https://esm.sh/animejs@3.2.2";
const second = 1000;
const canvasWidth = Number.parseFloat(document.querySelector("svg").getAttribute("width"));
const canvasHeight = Number.parseFloat(document.querySelector("svg").getAttribute("height"));
function gaussianRandom(mean=0, stdev=1) {
const u = 1 - Math.random(); // Converting [0,1) to (0,1]
const v = Math.random();
const z = Math.sqrt( -2.0 * Math.log( u ) ) * Math.cos( 2.0 * Math.PI * v );
// Transform to the desired mean and standard deviation:
return z * stdev + mean;
}
function* brownian(n){
let x = 0;
for(let i = 0; i < n; i ++){
x += gaussianRandom(0, 10);
console.log(x);
yield x;
}
}
function* pseudoBrownian(n, limit){
let x = 0;
for(let i = 0; i < n; i ++){
let delta = gaussianRandom(0, 10);
if(Math.abs(x + delta) > limit){
delta = -1 * delta
}
x += delta;
yield x;
}
}
function* keyFrames(duration, framePerSeconds){
const deltaX = canvasWidth / (duration * framePerSeconds);
const limit = 0.75 * (canvasHeight / 2);
for(const deltaY of pseudoBrownian(duration * framePerSeconds, limit)){
yield {translateX: `+=${deltaX}`, translateY: deltaY};
}
}
const duration = 60;
const timeline = anime.timeline({
duration: duration * second,
autoplay: false,
easing: 'linear'});
for(let i = 1; i <= 12; i++){
timeline.add({
targets: `#rect-${i}`,
keyframes: Array.from(keyFrames(duration, 30)),
}, 0)
}
document.querySelector('#play').onclick = timeline.play;
document.querySelector('#pause').onclick = timeline.pause;
document.querySelector('#seek').onclick = function(){
const seekVal = Number.parseFloat(second * document.querySelector('#seek-value').value);
timeline.pause();
timeline.seek(seekVal);
}