280 lines
No EOL
9.3 KiB
HTML
280 lines
No EOL
9.3 KiB
HTML
```html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Voronoi Bloom</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #0a0a0a;
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font-family: 'Courier New', monospace;
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}
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canvas {
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display: block;
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}
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#attribution {
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position: fixed;
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bottom: 10px;
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right: 10px;
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color: #444;
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font-size: 10px;
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text-shadow: 0 0 5px #222;
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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// Set canvas to full window size
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function resizeCanvas() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resizeCanvas);
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resizeCanvas();
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// Parameters
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const params = {
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motion: 0.5,
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density: 0.5,
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complexity: 0.5,
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connectedness: 0.5,
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lifespan: 0.5,
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pulse: {
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avg: 1.25,
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min: 1.00,
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max: 1.55
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},
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tone: {
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anger: 0.00,
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sadness: 0.00,
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curiosity: 0.10,
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dryness: 0.90,
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playfulness: 0.00,
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tension: 0.00
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}
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};
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// Voronoi cell structure
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class VoronoiCell {
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constructor(x, y, id) {
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this.x = x;
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this.y = y;
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this.id = id;
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this.neighbors = [];
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this.radius = 2 + Math.random() * 4;
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this.targetRadius = this.radius;
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this.pulseTime = 0;
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this.pulseSpeed = params.pulse.avg * (0.5 + Math.random());
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this.pulseDirection = 1;
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this.lifespan = params.lifespan * 1000 * (0.5 + Math.random());
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this.age = 0;
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this.color = Math.random() > 0.8 ? '#ddd' : '#888';
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}
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update() {
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this.age += 16; // Approx frame time
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// Pulsing effect
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this.pulseTime += 0.02 * this.pulseSpeed * this.pulseDirection;
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if (this.pulseTime > 1) {
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this.pulseTime = 1;
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this.pulseDirection = -1;
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} else if (this.pulseTime < 0) {
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this.pulseTime = 0;
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this.pulseDirection = 1;
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}
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// Morphing target radius
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this.targetRadius = 2 + 8 * (Math.sin(this.pulseTime * Math.PI) * 0.5 + 0.5) * (0.5 + params.lifespan);
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// Lifespan decay
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if (params.lifespan < 0.8) {
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const decay = 1 - (this.age / this.lifespan);
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this.targetRadius *= decay;
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}
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// Smooth interpolation
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this.radius += (this.targetRadius - this.radius) * 0.05;
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// Fade out if lifespan is low
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if (params.lifespan < 0.3) {
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const alpha = Math.min(1, this.age / 500);
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this.color = `rgba(255, 255, 255, ${0.3 * alpha})`;
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}
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}
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connect(other) {
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if (Math.random() < params.connectedness * 0.3) {
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this.neighbors.push(other);
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}
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}
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draw(ctx) {
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// Draw cell
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ctx.beginPath();
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ctx.arc(this.x, this.y, this.radius, 0, Math.PI * 2);
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ctx.fillStyle = this.color;
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ctx.fill();
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// Draw connections
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if (params.connectedness > 0.3) {
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ctx.strokeStyle = `rgba(255, 255, 255, ${0.1 + params.connectedness * 0.3})`;
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ctx.lineWidth = 1;
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ctx.beginPath();
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for (const neighbor of this.neighbors) {
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ctx.moveTo(this.x, this.y);
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ctx.lineTo(neighbor.x, neighbor.y);
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}
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ctx.stroke();
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}
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}
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}
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// Voronoi diagram generator
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class Voronoi {
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constructor() {
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this.cells = [];
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this.edges = [];
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this.diagram = null;
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this.init();
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}
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init() {
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// Create initial points
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const pointCount = Math.floor(100 + params.density * 400);
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for (let i = 0; i < pointCount; i++) {
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this.cells.push(new VoronoiCell(
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Math.random() * canvas.width,
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Math.random() * canvas.height,
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i
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));
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}
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// Build initial diagram
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this.buildDiagram();
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}
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buildDiagram() {
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// Simple Voronoi approximation using distance-based regions
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this.diagram = this.cells.map(cell => {
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return {
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cell: cell,
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points: []
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};
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});
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// For each pixel, determine closest cell
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const imageData = ctx.createImageData(canvas.width, canvas.height);
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const data = imageData.data;
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for (let y = 0; y < canvas.height; y++) {
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for (let x = 0; x < canvas.width; x++) {
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let minDist = Infinity;
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let closest = null;
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// Find closest cell
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for (const cell of this.cells) {
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const dx = x - cell.x;
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const dy = y - cell.y;
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const dist = dx * dx + dy * dy;
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if (dist < minDist) {
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minDist = dist;
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closest = cell;
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}
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}
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// Color based on closest cell
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const idx = (y * canvas.width + x) * 4;
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const grey = Math.floor(80 + minDist * 0.01 * params.complexity);
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data[idx] = grey;
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data[idx + 1] = grey;
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data[idx + 2] = grey;
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data[idx + 3] = 255;
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}
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}
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// Put image data
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ctx.putImageData(imageData, 0, 0);
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}
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update() {
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// Update all cells
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for (const cell of this.cells) {
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cell.update();
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}
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// Occasionally rebuild diagram
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if (Math.random() < params.motion * 0.02) {
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this.buildDiagram();
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}
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// Update connections
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if (params.connectedness > 0.2) {
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for (let i = 0; i < this.cells.length; i++) {
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for (let j = i + 1; j < this.cells.length; j++) {
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const d = Math.sqrt(
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Math.pow(this.cells[i].x - this.cells[j].x, 2) +
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Math.pow(this.cells[i].y - this.cells[j].y, 2)
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);
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if (d < 100 * params.connectedness) {
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this.cells[i].connect(this.cells[j]);
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this.cells[j].connect(this.cells[i]);
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}
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}
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}
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}
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}
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draw() {
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// Clear with subtle trail effect
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ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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// Draw all cells
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for (const cell of this.cells) {
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cell.draw(ctx);
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}
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// Draw some random connections
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if (params.connectedness > 0.5) {
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ctx.strokeStyle = `rgba(255, 255, 255, ${0.05 + params.connectedness * 0.1})`;
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ctx.lineWidth = 0.5;
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ctx.beginPath();
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for (let i = 0; i < this.cells.length; i++) {
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for (let j = i + 1; j < Math.min(i + 5, this.cells.length); j++) {
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const cell1 = this.cells[i];
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const cell2 = this.cells[j];
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if (Math.random() < params.connectedness) {
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ctx.moveTo(cell1.x, cell1.y);
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ctx.lineTo(cell2.x, cell2.y);
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}
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}
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}
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ctx.stroke();
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}
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}
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}
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// Animation
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let voronoi = new Voronoi();
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function animate() {
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voronoi.update();
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voronoi.draw();
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requestAnimationFrame(animate);
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}
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animate();
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</script>
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</body>
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</html>
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``` |