146 lines
4.9 KiB
HTML
146 lines
4.9 KiB
HTML
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<!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 · motd.social</title>
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<style>
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body {
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margin: 0;
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padding: 0;
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overflow: hidden;
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background-color: #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: absolute;
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bottom: 10px;
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right: 10px;
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color: #555;
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font-size: 10px;
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pointer-events: none;
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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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// Parameters derived from input
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const motion = 0.474;
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const density = 0.508;
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const complexity = 0.570;
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const connectedness = 0.466;
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const lifespan = 0.526;
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// Tone parameters
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const curiosity = 0.70;
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const dryness = 0.90;
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const playfulness = 0.10;
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// Reaction-diffusion parameters
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const feed = 0.055 + (motion * 0.02);
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const kill = 0.062 - (connectedness * 0.02);
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const deltaTime = 0.2;
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const cellSize = 4 - (density * 1.5);
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// Initialize grids
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const gridWidth = Math.floor(canvas.width / cellSize);
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const gridHeight = Math.floor(canvas.height / cellSize);
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let currentGrid = new Float64Array(gridWidth * gridHeight);
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let nextGrid = new Float64Array(gridWidth * gridHeight);
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// Initialize with sparse random values where density is low
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for (let i = 0; i < currentGrid.length; i++) {
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if (Math.random() < (0.1 + density * 0.3)) {
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currentGrid[i] = Math.random() * 0.2;
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}
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}
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// Color palette based on tone
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function getColor(value) {
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const baseHue = 160 + (curiosity * 20); // Teals from curiosity
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const saturation = 70 + (playfulness * 30);
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const lightness = 30 + (value * 50) * (1 - dryness);
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return `hsl(${baseHue}, ${saturation}%, ${lightness}%)`;
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}
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function updateGrid() {
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for (let x = 1; x < gridWidth - 1; x++) {
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for (let y = 1; y < gridHeight - 1; y++) {
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const i = x + y * gridWidth;
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const cell = currentGrid[i];
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// Calculate neighbors
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const neighbors = (
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currentGrid[i - 1] + currentGrid[i + 1] +
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currentGrid[i - gridWidth] + currentGrid[i + gridWidth] +
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currentGrid[i - gridWidth - 1] + currentGrid[i - gridWidth + 1] +
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currentGrid[i + gridWidth - 1] + currentGrid[i + gridWidth + 1]
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) / 8;
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// Reaction-diffusion equations
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nextGrid[i] = cell +
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deltaTime * (
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cell * (feed - kill) - (feed + kill) * neighbors / (cell + neighbors + 1)
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) +
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deltaTime * (connectedness * 0.1) * (Math.random() - 0.5);
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// Subtract slightly where loops aren't expected
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if (cell > 0.1 && neighbors < 0.2) {
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nextGrid[i] *= 0.98;
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}
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}
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}
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// Swap grids
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[currentGrid, nextGrid] = [nextGrid, currentGrid];
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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 < gridWidth; x++) {
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for (let y = 0; y < gridHeight; y++) {
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const i = x + y * gridWidth;
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const value = currentGrid[i];
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if (value > 0.01) {
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const cellValue = Math.min(value * complexity, 1);
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const size = cellSize * (0.5 + cellValue * 0.5);
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const xPos = x * cellSize;
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const yPos = y * cellSize;
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ctx.fillStyle = getColor(cellValue);
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ctx.beginPath();
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ctx.ellipse(xPos + cellSize/2, yPos + cellSize/2, size, size * (0.7 + motion * 0.3), 0, 0, Math.PI * 2);
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ctx.fill();
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}
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}
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}
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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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animate();
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</script>
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</body>
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</html>
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