chemical-dreams-on-dark-ski.../index.html

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HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Chemical Dreams</title>
<style>
body {
margin: 0;
overflow: hidden;
background: #0a0a0a;
color: #ccc;
font-family: 'Courier New', monospace;
}
#canvas {
display: block;
}
#attribution {
position: absolute;
bottom: 10px;
right: 10px;
font-size: 10px;
color: #555;
text-shadow: 0 0 5px rgba(0,0,0,0.5);
}
</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');
// Set canvas to full window size
function resizeCanvas() {
canvas.width = window.innerWidth;
canvas.height = window.innerHeight;
}
window.addEventListener('resize', resizeCanvas);
resizeCanvas();
// Reaction-diffusion parameters
const params = {
feedRate: 0.055,
killRate: 0.062,
diffusionRateA: 1,
diffusionRateB: 0.5,
width: Math.floor(canvas.width / 2),
height: Math.floor(canvas.height / 2),
cellSize: 2
};
// Initialize grids
let grid = new Array(params.width * params.height);
let nextGrid = new Array(params.width * params.height);
// Initialize with random values
function initGrid() {
for (let i = 0; i < grid.length; i++) {
grid[i] = Math.random() * 0.1;
nextGrid[i] = grid[i];
}
// Add some initial patterns
for (let i = 0; i < params.width * params.height * 0.01; i++) {
const idx = Math.floor(Math.random() * grid.length);
grid[idx] = 1;
}
}
initGrid();
// Reaction-diffusion kernel
function updateGrid() {
for (let x = 1; x < params.width - 1; x++) {
for (let y = 1; y < params.height - 1; y++) {
const idx = x + y * params.width;
const a = grid[idx];
const b = nextGrid[idx];
// Apply reaction-diffusion equations
const reaction = a * b * b;
const feed = params.feedRate * (1 - a);
const kill = params.killRate * a;
const newA = a + (params.diffusionRateA * laplacian(x, y, 'a') - reaction + feed - kill) * 0.1;
const newB = b + (params.diffusionRateB * laplacian(x, y, 'b') + reaction - kill) * 0.1;
nextGrid[idx] = newA;
nextGrid[idx + params.width * params.height] = newB;
}
}
// Swap grids
[grid, nextGrid] = [nextGrid, grid];
}
// Calculate Laplacian for a given cell
function laplacian(x, y, type) {
let sum = 0;
const centerIdx = x + y * params.width;
for (let dx = -1; dx <= 1; dx++) {
for (let dy = -1; dy <= 1; dy++) {
const idx = (x + dx) + (y + dy) * params.width;
if (type === 'a') {
sum += grid[idx];
} else {
sum += nextGrid[idx + params.width * params.height];
}
}
}
return (sum - 9 * (type === 'a' ? grid[centerIdx] : nextGrid[centerIdx])) / 9;
}
// Draw the grid
function drawGrid() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Create image data for better performance
const imageData = ctx.createImageData(params.width, params.height);
const data = imageData.data;
for (let i = 0; i < grid.length; i++) {
const valA = Math.min(1, Math.max(0, grid[i]));
const valB = Math.min(1, Math.max(0, nextGrid[i + params.width * params.height]));
// Convert reaction-diffusion values to color
const r = Math.floor(valA * 255);
const g = Math.floor((valA + valB) * 127);
const b = Math.floor(valB * 255);
const idx = i * 4;
data[idx] = r;
data[idx + 1] = g;
data[idx + 2] = b;
data[idx + 3] = 255;
}
// Draw to canvas with scaling
const tempCanvas = document.createElement('canvas');
const tempCtx = tempCanvas.getContext('2d');
tempCanvas.width = params.width;
tempCanvas.height = params.height;
tempCtx.putImageData(imageData, 0, 0);
ctx.imageSmoothingEnabled = false;
ctx.drawImage(tempCanvas,
0, 0, params.width, params.height,
0, 0, canvas.width, canvas.height);
}
// Animation loop
function animate() {
updateGrid();
drawGrid();
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>