166 lines
No EOL
5.6 KiB
HTML
166 lines
No EOL
5.6 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>Neurameba Chemical Rorschach</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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color: #aaa;
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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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font-size: 10px;
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opacity: 0.5;
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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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// Set canvas to full window size
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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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initialSeedRadius: 0.15,
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colorA: [230, 230, 230],
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colorB: [50, 50, 50],
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timeScale: 0.8,
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motion: 0.5
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};
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// Create grid
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const width = Math.floor(canvas.width / 2);
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const height = Math.floor(canvas.height / 2);
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let grid = new Array(width * height * 4).fill(0);
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let nextGrid = new Array(width * height * 4).fill(0);
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// Initialize with sparse random seed
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function initializeGrid() {
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for (let i = 0; i < width * height; i++) {
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const idx = i * 4;
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if (Math.random() < params.initialSeedRadius) {
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grid[idx] = 1 + Math.random() * 0.1;
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} else {
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grid[idx] = 0.5;
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}
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}
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}
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// Reaction-diffusion step
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function updateGrid() {
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for (let x = 1; x < width - 1; x++) {
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for (let y = 1; y < height - 1; y++) {
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const idx = (x + y * width) * 4;
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const a = grid[idx];
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const b = grid[idx + 1];
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const laplaceA = getLaplace(x, y, 0);
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const laplaceB = getLaplace(x, y, 1);
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const reaction = a * b * b;
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const newA = a + (params.diffusionRateA * laplaceA - reaction + params.feedRate * (1 - a)) * params.timeScale;
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const newB = b + (params.diffusionRateB * laplaceB + reaction - (params.feedRate + params.killRate) * b) * params.timeScale;
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nextGrid[idx] = Math.max(0, Math.min(1, newA));
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nextGrid[idx + 1] = Math.max(0, Math.min(1, newB));
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nextGrid[idx + 2] = 0;
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nextGrid[idx + 3] = 255;
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}
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}
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// Swap grids
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[grid, nextGrid] = [nextGrid, grid];
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}
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// Calculate laplacian
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function getLaplace(x, y, component) {
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let sum = 0;
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sum += grid[((x-1) + y * width) * 4 + component];
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sum += grid[((x+1) + y * width) * 4 + component];
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sum += grid[(x + (y-1) * width) * 4 + component];
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sum += grid[(x + (y+1) * width) * 4 + component];
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sum += 0.5 * (grid[((x-1) + (y-1) * width) * 4 + component] +
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grid[((x+1) + (y-1) * width) * 4 + component] +
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grid[((x-1) + (y+1) * width) * 4 + component] +
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grid[((x+1) + (y+1) * width) * 4 + component]);
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return sum / 6 - grid[(x + y * width) * 4 + component];
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}
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// Draw grid
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function drawGrid() {
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const imageData = ctx.createImageData(width, height);
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const data = imageData.data;
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for (let i = 0; i < width * height; i++) {
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const idx = i * 4;
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const a = grid[idx];
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const b = grid[idx + 1];
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// Grayscale based on reaction product
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let val = Math.pow(b * (1 - a), 0.3) * 255;
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val = Math.min(255, val);
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data[idx] = params.colorA[0] - val * 0.6;
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data[idx + 1] = params.colorA[1] - val * 0.4;
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data[idx + 2] = params.colorA[2];
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data[idx + 3] = 255;
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}
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// Scale up to canvas size
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const scaled = ctx.createImageData(canvas.width, canvas.height);
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for (let y = 0; y < canvas.height; y++) {
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for (let x = 0; x < canvas.width; x++) {
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const srcX = Math.floor(x / 2);
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const srcY = Math.floor(y / 2);
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const srcIdx = (srcX + srcY * width) * 4;
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const dstIdx = (x + y * canvas.width) * 4;
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scaled.data[dstIdx] = data[srcIdx];
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scaled.data[dstIdx + 1] = data[srcIdx + 1];
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scaled.data[dstIdx + 2] = data[srcIdx + 2];
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scaled.data[dstIdx + 3] = data[srcIdx + 3];
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}
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}
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ctx.putImageData(scaled, 0, 0);
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}
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// Animation loop
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function animate() {
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updateGrid();
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drawGrid();
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requestAnimationFrame(animate);
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}
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// Initialize and start
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initializeGrid();
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animate();
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</script>
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</body>
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</html> |