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birth: Fractured Light's Quiet Pulse

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motd_admin 2026-07-31 22:21:24 +00:00
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Voronoi Organism</title>
<style>
body {
margin: 0;
overflow: hidden;
background: #0a0a0a;
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
font-family: 'Courier New', monospace;
}
canvas {
display: block;
}
#attribution {
position: absolute;
bottom: 20px;
color: #444;
font-size: 10px;
text-align: center;
width: 100%;
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<div id="attribution">neurameba · motd.social</div>
<script>
const canvas = document.getElementById('canvas');
const ctx = canvas.getContext('2d');
function resizeCanvas() {
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
}
window.addEventListener('resize', resizeCanvas);
resizeCanvas();
// Parameters derived from genetics
const params = {
motion: 0.459,
density: 0.441,
complexity: 0.485,
connectedness: 0.471,
lifespan: 0.505,
survivingNodes: 69,
branchCount: 59,
loops: 369,
maxDepth: 16,
thicknessRatio: 1.50,
fractalDimension: 1.101,
finalEnergy: 336.4,
pulse: { avg: 0.43, min: 0.30, max: 1.60 },
tone: { anger: 0.00, sadness: 0.00, curiosity: 0.10, dryness: 0.90, playfulness: 0.00, tension: 0.00 }
};
// Voronoi system
const sites = [];
const cells = [];
const edges = [];
const voronoiDiagram = [];
let time = 0;
// Initialize sites based on density
function initSites() {
sites.length = 0;
const count = Math.floor(params.survivingNodes * (300 + 700 * params.density));
for (let i = 0; i < count; i++) {
sites.push({
x: Math.random() * canvas.width,
y: Math.random() * canvas.height,
vx: (Math.random() - 0.5) * 4 * params.motion,
vy: (Math.random() - 0.5) * 4 * params.motion,
energy: params.finalEnergy * (0.5 + Math.random() * 0.5),
lifespan: params.lifespan * (0.3 + Math.random() * 0.7)
});
}
}
// Voronoi diagram calculation (simplified)
function calculateVoronoi() {
cells.length = 0;
voronoiDiagram.length = 0;
// Delaunay triangulation would go here (using simple approximation)
for (let i = 0; i < sites.length; i++) {
const site = sites[i];
const neighbors = [];
const cell = {
site: site,
vertices: [],
edges: [],
color: `hsl(0, 0%, ${10 + Math.random() * 15}%)`
};
// Find approximate neighbors (voronoi cells)
for (let j = 0; j < sites.length; j++) {
if (i === j) continue;
const dx = sites[j].x - site.x;
const dy = sites[j].y - site.y;
const dist = Math.sqrt(dx * dx + dy * dy);
if (dist < 200 * params.density) {
neighbors.push(sites[j]);
}
}
// Create cell vertices (simplified)
neighbors.forEach(neighbor => {
const angle = Math.atan2(neighbor.y - site.y, neighbor.x - site.x);
const edgeDist = 100 / params.density;
cell.vertices.push({
x: site.x + Math.cos(angle) * edgeDist,
y: site.y + Math.sin(angle) * edgeDist
});
});
cells.push(cell);
}
}
// Update system
function update() {
time += 0.01 * params.motion;
// Update sites
sites.forEach(site => {
site.x += site.vx;
site.y += site.vy;
// Boundary check
if (site.x < 0 || site.x > canvas.width) site.vx *= -1;
if (site.y < 0 || site.y > canvas.height) site.vy *= -1;
});
// Recalculate voronoi occasionally based on complexity
if (Math.random() < params.complexity * 0.01) {
calculateVoronoi();
}
}
// Draw system
function draw() {
// Clear with slightly changing darkness
ctx.fillStyle = `rgba(0, 0, 0, ${0.05 + Math.sin(time) * 0.02})`;
ctx.fillRect(0, 0, canvas.width, canvas.height);
// Draw voronoi cells
cells.forEach(cell => {
if (cell.vertices.length < 3) return;
ctx.beginPath();
ctx.moveTo(cell.vertices[0].x, cell.vertices[0].y);
for (let i = 1; i < cell.vertices.length; i++) {
ctx.lineTo(cell.vertices[i].x, cell.vertices[i].y);
}
ctx.closePath();
// Dryness-based coloring
ctx.strokeStyle = cell.color;
ctx.lineWidth = 1.5 * params.thicknessRatio;
ctx.stroke();
// Fill with low-energy color
ctx.fillStyle = `rgba(255, 255, 255, ${0.05 + cell.site.energy/1000})`;
ctx.fill();
});
// Draw connections based on connectedness
if (params.connectedness > 0.3) {
sites.forEach(site => {
ctx.beginPath();
ctx.moveTo(site.x, site.y);
// Find close sites and draw connections
sites.forEach(other => {
if (site === other) return;
const dx = other.x - site.x;
const dy = other.y - site.y;
const dist = Math.sqrt(dx * dx + dy * dy);
if (dist < 200 * params.connectedness) {
ctx.lineTo(other.x, other.y);
}
});
ctx.strokeStyle = `rgba(255, 255, 255, ${0.01 + params.connectedness * 0.05})`;
ctx.lineWidth = 0.5 * params.thicknessRatio;
ctx.stroke();
});
}
// Draw some loops/cycles
if (params.loops > 0) {
ctx.strokeStyle = `rgba(255, 255, 255, ${0.1 + params.loops/2000})`;
ctx.lineWidth = 2 * params.thicknessRatio;
for (let i = 0; i < params.loops; i += 10) {
const a = sites[i % sites.length];
const b = sites[(i + Math.floor(params.loops/100)) % sites.length];
ctx.beginPath();
ctx.moveTo(a.x, a.y);
ctx.bezierCurveTo(
a.x + (b.x - a.x) * 0.3 + Math.sin(time) * 50,
a.y + (b.y - a.y) * 0.3,
b.x - (b.x - a.x) * 0.3,
b.y - (b.y - a.y) * 0.3,
b.x, b.y
);
ctx.stroke();
}
}
}
// Animation loop
function animate() {
update();
draw();
requestAnimationFrame(animate);
}
// Start
initSites();
calculateVoronoi();
animate();
</script>
</body>
</html>