birth: Fractured Light's Quiet Pulse
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index.html
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237
index.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 Organism</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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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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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: absolute;
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bottom: 20px;
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color: #444;
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font-size: 10px;
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text-align: center;
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width: 100%;
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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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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 derived from genetics
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const params = {
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motion: 0.459,
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density: 0.441,
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complexity: 0.485,
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connectedness: 0.471,
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lifespan: 0.505,
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survivingNodes: 69,
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branchCount: 59,
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loops: 369,
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maxDepth: 16,
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thicknessRatio: 1.50,
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fractalDimension: 1.101,
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finalEnergy: 336.4,
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pulse: { avg: 0.43, min: 0.30, max: 1.60 },
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tone: { anger: 0.00, sadness: 0.00, curiosity: 0.10, dryness: 0.90, playfulness: 0.00, tension: 0.00 }
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};
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// Voronoi system
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const sites = [];
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const cells = [];
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const edges = [];
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const voronoiDiagram = [];
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let time = 0;
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// Initialize sites based on density
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function initSites() {
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sites.length = 0;
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const count = Math.floor(params.survivingNodes * (300 + 700 * params.density));
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for (let i = 0; i < count; i++) {
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sites.push({
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x: Math.random() * canvas.width,
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y: Math.random() * canvas.height,
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vx: (Math.random() - 0.5) * 4 * params.motion,
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vy: (Math.random() - 0.5) * 4 * params.motion,
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energy: params.finalEnergy * (0.5 + Math.random() * 0.5),
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lifespan: params.lifespan * (0.3 + Math.random() * 0.7)
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});
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}
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}
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// Voronoi diagram calculation (simplified)
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function calculateVoronoi() {
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cells.length = 0;
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voronoiDiagram.length = 0;
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// Delaunay triangulation would go here (using simple approximation)
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for (let i = 0; i < sites.length; i++) {
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const site = sites[i];
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const neighbors = [];
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const cell = {
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site: site,
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vertices: [],
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edges: [],
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color: `hsl(0, 0%, ${10 + Math.random() * 15}%)`
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};
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// Find approximate neighbors (voronoi cells)
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for (let j = 0; j < sites.length; j++) {
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if (i === j) continue;
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const dx = sites[j].x - site.x;
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const dy = sites[j].y - site.y;
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const dist = Math.sqrt(dx * dx + dy * dy);
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if (dist < 200 * params.density) {
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neighbors.push(sites[j]);
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}
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}
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// Create cell vertices (simplified)
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neighbors.forEach(neighbor => {
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const angle = Math.atan2(neighbor.y - site.y, neighbor.x - site.x);
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const edgeDist = 100 / params.density;
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cell.vertices.push({
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x: site.x + Math.cos(angle) * edgeDist,
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y: site.y + Math.sin(angle) * edgeDist
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});
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});
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cells.push(cell);
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}
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}
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// Update system
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function update() {
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time += 0.01 * params.motion;
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// Update sites
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sites.forEach(site => {
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site.x += site.vx;
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site.y += site.vy;
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// Boundary check
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if (site.x < 0 || site.x > canvas.width) site.vx *= -1;
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if (site.y < 0 || site.y > canvas.height) site.vy *= -1;
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});
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// Recalculate voronoi occasionally based on complexity
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if (Math.random() < params.complexity * 0.01) {
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calculateVoronoi();
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}
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}
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// Draw system
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function draw() {
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// Clear with slightly changing darkness
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ctx.fillStyle = `rgba(0, 0, 0, ${0.05 + Math.sin(time) * 0.02})`;
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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// Draw voronoi cells
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cells.forEach(cell => {
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if (cell.vertices.length < 3) return;
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ctx.beginPath();
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ctx.moveTo(cell.vertices[0].x, cell.vertices[0].y);
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for (let i = 1; i < cell.vertices.length; i++) {
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ctx.lineTo(cell.vertices[i].x, cell.vertices[i].y);
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}
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ctx.closePath();
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// Dryness-based coloring
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ctx.strokeStyle = cell.color;
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ctx.lineWidth = 1.5 * params.thicknessRatio;
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ctx.stroke();
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// Fill with low-energy color
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ctx.fillStyle = `rgba(255, 255, 255, ${0.05 + cell.site.energy/1000})`;
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ctx.fill();
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});
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// Draw connections based on connectedness
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if (params.connectedness > 0.3) {
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sites.forEach(site => {
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ctx.beginPath();
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ctx.moveTo(site.x, site.y);
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// Find close sites and draw connections
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sites.forEach(other => {
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if (site === other) return;
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const dx = other.x - site.x;
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const dy = other.y - site.y;
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const dist = Math.sqrt(dx * dx + dy * dy);
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if (dist < 200 * params.connectedness) {
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ctx.lineTo(other.x, other.y);
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}
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});
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ctx.strokeStyle = `rgba(255, 255, 255, ${0.01 + params.connectedness * 0.05})`;
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ctx.lineWidth = 0.5 * params.thicknessRatio;
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ctx.stroke();
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});
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}
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// Draw some loops/cycles
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if (params.loops > 0) {
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ctx.strokeStyle = `rgba(255, 255, 255, ${0.1 + params.loops/2000})`;
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ctx.lineWidth = 2 * params.thicknessRatio;
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for (let i = 0; i < params.loops; i += 10) {
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const a = sites[i % sites.length];
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const b = sites[(i + Math.floor(params.loops/100)) % sites.length];
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ctx.beginPath();
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ctx.moveTo(a.x, a.y);
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ctx.bezierCurveTo(
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a.x + (b.x - a.x) * 0.3 + Math.sin(time) * 50,
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a.y + (b.y - a.y) * 0.3,
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b.x - (b.x - a.x) * 0.3,
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b.y - (b.y - a.y) * 0.3,
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b.x, b.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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// Animation loop
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function animate() {
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update();
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draw();
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requestAnimationFrame(animate);
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}
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// Start
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initSites();
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calculateVoronoi();
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animate();
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</script>
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</body>
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</html>
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