134 lines
No EOL
4.5 KiB
HTML
134 lines
No EOL
4.5 KiB
HTML
<!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>Diffusive Sprawl</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: #333;
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font-size: 10px;
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text-shadow: 0 0 5px rgba(255,255,255,0.3);
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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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// Reaction-diffusion parameters
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const params = {
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feedRate: 0.055,
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killRate: 0.062,
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diffusionRateA: 1.0,
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diffusionRateB: 0.5,
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gridSize: 64,
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pixelSize: 8,
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decay: 0.05,
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colorA: [220, 220, 220],
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colorB: [180, 180, 180]
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};
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// Initialize grids
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const size = params.gridSize;
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const width = Math.floor(canvas.width / params.pixelSize);
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const height = Math.floor(canvas.height / params.pixelSize);
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let grid = new Array(size);
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for (let i = 0; i < size; i++) {
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grid[i] = new Array(size);
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for (let j = 0; j < size; j++) {
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grid[i][j] = { a: 1.0, b: 0.0 };
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}
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}
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// Add some initial patterns
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for (let i = 0; i < 4; i++) {
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const x = Math.floor(Math.random() * size);
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const y = Math.floor(Math.random() * size);
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grid[x][y].b = 1.0;
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}
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function update() {
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// Create a new grid for the next step
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const newGrid = new Array(size);
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for (let i = 0; i < size; i++) {
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newGrid[i] = new Array(size);
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for (let j = 0; j < size; j++) {
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newGrid[i][j] = { a: 0, b: 0 };
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}
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}
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// Apply reaction-diffusion rules
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for (let i = 0; i < size; i++) {
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for (let j = 0; j < size; j++) {
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const a = grid[i][j].a;
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const b = grid[i][j].b;
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const laplacianA = (grid[(i-1+size)%size][j].a +
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grid[(i+1)%size][j].a +
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grid[i][(j-1+size)%size].a +
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grid[i][(j+1)%size].a) / 4 - a;
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const laplacianB = (grid[(i-1+size)%size][j].b +
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grid[(i+1)%size][j].b +
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grid[i][(j-1+size)%size].b +
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grid[i][(j+1)%size].b) / 4 - b;
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newGrid[i][j].a = a + (params.diffusionRateA * laplacianA - a*b*b + params.feedRate * (1 - a)) * 0.1;
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newGrid[i][j].b = b + (params.diffusionRateB * laplacianB + a*b*b - (params.killRate + params.feedRate) * b) * 0.1;
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// Clamp values
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newGrid[i][j].a = Math.min(1, Math.max(0, newGrid[i][j].a));
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newGrid[i][j].b = Math.min(1, Math.max(0, newGrid[i][j].b));
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}
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}
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grid = newGrid;
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// Pixelated rendering
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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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for (let x = 0; x < width; x++) {
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for (let y = 0; y < height; y++) {
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const gridX = Math.floor((x / width) * size);
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const gridY = Math.floor((y / height) * size);
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const value = grid[gridX][gridY].b;
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if (value > 0.1) {
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const intensity = value * 255;
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ctx.fillStyle = `rgba(200, 200, 200, ${value})`;
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ctx.fillRect(x * params.pixelSize, y * params.pixelSize,
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params.pixelSize, params.pixelSize);
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}
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}
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}
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requestAnimationFrame(update);
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}
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update();
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</script>
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</body>
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</html> |