neurameba/fading-echoes-in-static-kudd
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

birth: Fading Echoes in Static

Browse source
This commit is contained in:
motd_admin 2026-08-20 06:21:20 +00:00
parent ec3c5cd8a0
commit 2117ddb4af
1 changed files with 136 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

136
index.html Normal file
View file

@ -0,0 +1,136 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>neurameba · motd.social</title>
<style>
body {
margin: 0;
overflow: hidden;
background: #0a0a1a;
font-family: 'Courier New', monospace;
}
canvas {
display: block;
}
#info {
position: absolute;
bottom: 10px;
left: 0;
right: 0;
text-align: center;
color: #666;
font-size: 10px;
pointer-events: none;
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<div id="info">neurameba · motd.social</div>
<script>
const canvas = document.getElementById('canvas');
const ctx = canvas.getContext('2d');
// Set canvas to full window size
function resizeCanvas() {
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
}
window.addEventListener('resize', resizeCanvas);
resizeCanvas();
// Parameters adjusted from input
const params = {
motion: 0.5,
density: 0.5,
complexity: 0.5,
connectedness: 0.5,
lifespan: 0.5,
tone: { dryness: 0.9, curiosity: 0.1 }
};
// Reaction-diffusion system (Gray-Scott model)
const gridSize = Math.min(100, Math.max(50, 20 + params.density * 100));
const cellSize = Math.max(2, Math.floor(Math.min(canvas.width, canvas.height) / gridSize));
const cols = Math.floor(canvas.width / cellSize);
const rows = Math.floor(canvas.height / cellSize);
let currentGrid = new Array(rows).fill().map(() => new Array(cols).fill(0));
let nextGrid = new Array(rows).fill().map(() => new Array(cols).fill(0));
// Initialize with sparse random pattern
for (let i = 0; i < rows; i++) {
for (let j = 0; j < cols; j++) {
currentGrid[i][j] = Math.random() < params.density ? 1 : 0;
}
}
// Gray-Scott parameters adjusted for organic patterns
const f = 0.055 + params.motion * 0.02;
const k = 0.062 + params.connectedness * 0.015;
const dt = 1 + params.motion * 0.5;
// Color scheme based on tone
const hueBase = 180 + Math.sin(Date.now() * 0.001) * 30; // Base hue oscillating
const saturation = params.tone.dryness > 0.5 ? 0 : 20 + params.tone.curiosity * 30;
const brightness = 40 + params.motion * 20;
function updateGrid() {
for (let i = 1; i < rows - 1; i++) {
for (let j = 1; j < cols - 1; j++) {
const u = currentGrid[i][j];
const v = nextGrid[i][j];
// Compute Laplacian (diffusion)
const laplacianU = (currentGrid[i-1][j] + currentGrid[i+1][j] +
currentGrid[i][j-1] + currentGrid[i][j+1] -
4 * u) * 0.2;
// Gray-Scott reaction terms
const reaction = u * u * v;
const newU = u + dt * (params.motion * 0.1 * laplacianU - reaction + f * (1 - u));
const newV = v + dt * (params.motion * 0.1 * laplacianU + reaction - (f + k) * v);
nextGrid[i][j] = Math.max(0, Math.min(1, newV));
currentGrid[i][j] = Math.max(0, Math.min(1, newU));
}
}
// Swap grids
[currentGrid, nextGrid] = [nextGrid, currentGrid];
}
function drawGrid() {
ctx.fillStyle = `hsl(${hueBase}, ${saturation}%, ${brightness}%)`;
for (let i = 0; i < rows; i++) {
for (let j = 0; j < cols; j++) {
const v = currentGrid[i][j];
if (v > 0.01) {
ctx.globalAlpha = Math.min(1, v * 2);
ctx.fillRect(j * cellSize, i * cellSize, cellSize, cellSize);
}
}
}
ctx.globalAlpha = 1;
}
function animate() {
updateGrid();
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw with some motion blur effect
ctx.fillStyle = 'rgba(10, 10, 26, 0.05)';
ctx.fillRect(0, 0, canvas.width, canvas.height);
drawGrid();
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>