168 lines
No EOL
5.2 KiB
HTML
168 lines
No EOL
5.2 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 Dissonance</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: #ddd;
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display: flex;
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flex-direction: column;
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height: 100vh;
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}
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canvas {
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flex: 1;
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}
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.attribution {
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text-align: right;
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padding: 8px 16px;
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font-size: 10px;
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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 class="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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// Full viewport canvas
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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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// Parameters derived from abstract inputs
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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: { avg: 1.08, min: 1.05, max: 1.10 },
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tone: { anger: 0, sadness: 0, curiosity: 0.2, dryness: 0.8, playfulness: 0, tension: 0 }
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};
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// Palette based on tone
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function getColor() {
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const dry = params.tone.dryness;
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if (dry > 0.7) {
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// Monochrome with slight variation
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const gray = 50 + Math.floor(Math.random() * 50);
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return `rgb(${gray}, ${gray}, ${gray})`;
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} else if (params.tone.curiosity > 0.5) {
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const teal = 100 + Math.floor(Math.random() * 100);
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return `rgb(0, ${teal}, ${teal * 1.2})`;
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}
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return 'rgb(50, 50, 50)';
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}
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// Reaction-diffusion grid
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const GRID_SIZE = 80;
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const CELL_SIZE = Math.max(2, Math.floor(Math.min(
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window.innerWidth / GRID_SIZE,
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window.innerHeight / GRID_SIZE
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)));
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const cols = Math.floor(window.innerWidth / CELL_SIZE);
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const rows = Math.floor(window.innerHeight / CELL_SIZE);
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let grid = new Array(cols * rows);
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let nextGrid = new Array(cols * rows);
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// Initialize with sparse patterns
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for (let i = 0; i < grid.length; i++) {
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grid[i] = (Math.random() < 0.2) ? 1 : 0;
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nextGrid[i] = 0;
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}
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// Reaction-diffusion rules (Gray-Scott)
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const DA = 1.0;
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const DB = 0.5;
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const feed = 0.055;
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const kill = 0.062;
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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 idx = x + y * cols;
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let a = grid[idx];
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let b = nextGrid[idx];
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// Apply reaction
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const ab2 = a * b * b;
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const reaction = ab2 - (feed + kill) * b;
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nextGrid[idx] = b + (DA * (grid[idx - 1] + grid[idx + 1] +
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grid[idx - cols] + grid[idx + cols] - 4 * b) -
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reaction) * params.pulse.avg;
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}
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}
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// Swap buffers
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[grid, nextGrid] = [nextGrid, grid];
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}
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function drawGrid() {
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ctx.clearRect(0, 0, canvas.width, canvas.height);
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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 idx = x + y * cols;
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const value = grid[idx];
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if (value > 0.1) {
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const size = CELL_SIZE * value * 1.5;
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const xPos = x * CELL_SIZE + (CELL_SIZE - size) / 2;
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const yPos = y * CELL_SIZE + (CELL_SIZE - size) / 2;
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ctx.fillStyle = getColor();
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ctx.globalAlpha = Math.min(1, value * 3);
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ctx.fillRect(xPos, yPos, size, size);
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}
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}
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}
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ctx.globalAlpha = 1;
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}
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// Animation loop
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let frameCount = 0;
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function animate() {
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frameCount++;
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// Adjust feed/kill based on motion parameter
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const adjustedFeed = feed * (0.9 + params.motion * 0.2);
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const adjustedKill = kill * (1.1 - params.motion * 0.2);
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// Random perturbation for complexity
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if (frameCount % 30 === 0 && Math.random() < params.complexity * 0.3) {
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const x = Math.floor(Math.random() * cols);
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const y = Math.floor(Math.random() * rows);
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grid[x + y * cols] = 1;
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}
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// Update simulation
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for (let i = 0; i < 5; i++) {
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updateGrid();
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}
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drawGrid();
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requestAnimationFrame(animate);
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}
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animate();
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</script>
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</body>
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</html> |