146 lines
No EOL
4.4 KiB
HTML
146 lines
No EOL
4.4 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>Liquid Logic</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: #f0f0f0;
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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: absolute;
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bottom: 10px;
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left: 0;
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right: 0;
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text-align: center;
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font-size: 12px;
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opacity: 0.6;
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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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// Simulation parameters
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const params = {
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motion: 0.5,
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density: 0.5,
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complexity: 0.5,
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connectedness: 0.5,
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lifespan: 0.5,
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pulse: 1.1,
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tone: {
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anger: 0.00,
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sadness: 0.00,
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curiosity: 0.10,
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dryness: 0.80,
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playfulness: 0.00,
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tension: 0.00
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}
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};
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// Reaction-diffusion simulation
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const cols = 120;
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const rows = Math.floor(canvas.height / (canvas.width / cols));
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const grid = createEmptyGrid();
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let nextGrid = createEmptyGrid();
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function createEmptyGrid() {
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return Array(cols).fill().map(() => Array(rows).fill(0));
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}
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// Initialize with random values
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function initializeGrid() {
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for (let x = 0; x < cols; x++) {
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for (let y = 0; y < rows; y++) {
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grid[x][y] = Math.random() * 0.1;
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}
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}
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}
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// Reaction-diffusion parameters (Gray-Scott model)
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const Da = 1.0 + params.motion * 4.0;
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const Db = 0.5 + params.complexity * 0.5;
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const feed = 0.05 + params.connectedness * 0.03;
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const kill = 0.06 + params.density * 0.04;
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function updateGrid() {
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for (let x = 1; x < cols - 1; x++) {
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for (let y = 1; y < rows - 1; y++) {
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const a = grid[x][y];
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const b = nextGrid[x][y];
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// Laplacian calculation
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const laplacianA = (grid[x-1][y] + grid[x+1][y] + grid[x][y-1] + grid[x][y+1] - 4 * a) * 0.2;
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const laplacianB = (nextGrid[x-1][y] + nextGrid[x+1][y] + nextGrid[x][y-1] + nextGrid[x][y+1] - 4 * b) * 0.2;
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const reaction = a * b * b;
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const newA = a + (Da * laplacianA - reaction + feed * (1 - a)) * params.pulse;
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const newB = b + (Db * laplacianB + reaction - (kill + feed) * b) * params.pulse;
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nextGrid[x][y] = Math.max(0, Math.min(1, newB));
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}
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}
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// Swap grids
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const temp = grid;
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grid = nextGrid;
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nextGrid = temp;
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}
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// Draw to canvas
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function drawGrid() {
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const imageData = ctx.createImageData(canvas.width, canvas.height);
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const data = imageData.data;
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const scaleX = canvas.width / cols;
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const scaleY = canvas.height / rows;
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for (let x = 0; x < cols; x++) {
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for (let y = 0; y < rows; y++) {
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const val = grid[x][y];
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const i = (y * cols + x) * 4;
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// Dryness tone: monochrome with low contrast
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const intensity = val * 255;
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data[i] = intensity;
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data[i+1] = intensity;
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data[i+2] = intensity;
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data[i+3] = 255;
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}
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}
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ctx.putImageData(imageData, 0, 0);
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}
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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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initializeGrid();
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animate();
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</script>
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</body>
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</html> |