birth: Chemical Dreams on Dark Skies
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164
index.html
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164
index.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>Chemical Dreams</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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color: #ccc;
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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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font-size: 10px;
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color: #555;
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text-shadow: 0 0 5px rgba(0,0,0,0.5);
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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,
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diffusionRateB: 0.5,
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width: Math.floor(canvas.width / 2),
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height: Math.floor(canvas.height / 2),
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cellSize: 2
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};
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// Initialize grids
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let grid = new Array(params.width * params.height);
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let nextGrid = new Array(params.width * params.height);
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// Initialize with random values
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function initGrid() {
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for (let i = 0; i < grid.length; i++) {
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grid[i] = Math.random() * 0.1;
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nextGrid[i] = grid[i];
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}
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// Add some initial patterns
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for (let i = 0; i < params.width * params.height * 0.01; i++) {
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const idx = Math.floor(Math.random() * grid.length);
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grid[idx] = 1;
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}
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}
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initGrid();
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// Reaction-diffusion kernel
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function updateGrid() {
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for (let x = 1; x < params.width - 1; x++) {
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for (let y = 1; y < params.height - 1; y++) {
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const idx = x + y * params.width;
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const a = grid[idx];
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const b = nextGrid[idx];
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// Apply reaction-diffusion equations
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const reaction = a * b * b;
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const feed = params.feedRate * (1 - a);
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const kill = params.killRate * a;
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const newA = a + (params.diffusionRateA * laplacian(x, y, 'a') - reaction + feed - kill) * 0.1;
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const newB = b + (params.diffusionRateB * laplacian(x, y, 'b') + reaction - kill) * 0.1;
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nextGrid[idx] = newA;
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nextGrid[idx + params.width * params.height] = newB;
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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 for a given cell
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function laplacian(x, y, type) {
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let sum = 0;
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const centerIdx = x + y * params.width;
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for (let dx = -1; dx <= 1; dx++) {
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for (let dy = -1; dy <= 1; dy++) {
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const idx = (x + dx) + (y + dy) * params.width;
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if (type === 'a') {
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sum += grid[idx];
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} else {
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sum += nextGrid[idx + params.width * params.height];
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}
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}
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}
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return (sum - 9 * (type === 'a' ? grid[centerIdx] : nextGrid[centerIdx])) / 9;
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}
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// Draw the grid
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function drawGrid() {
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ctx.clearRect(0, 0, canvas.width, canvas.height);
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// Create image data for better performance
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const imageData = ctx.createImageData(params.width, params.height);
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const data = imageData.data;
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for (let i = 0; i < grid.length; i++) {
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const valA = Math.min(1, Math.max(0, grid[i]));
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const valB = Math.min(1, Math.max(0, nextGrid[i + params.width * params.height]));
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// Convert reaction-diffusion values to color
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const r = Math.floor(valA * 255);
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const g = Math.floor((valA + valB) * 127);
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const b = Math.floor(valB * 255);
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const idx = i * 4;
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data[idx] = r;
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data[idx + 1] = g;
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data[idx + 2] = b;
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data[idx + 3] = 255;
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}
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// Draw to canvas with scaling
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const tempCanvas = document.createElement('canvas');
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const tempCtx = tempCanvas.getContext('2d');
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tempCanvas.width = params.width;
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tempCanvas.height = params.height;
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tempCtx.putImageData(imageData, 0, 0);
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ctx.imageSmoothingEnabled = false;
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ctx.drawImage(tempCanvas,
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0, 0, params.width, params.height,
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0, 0, canvas.width, canvas.height);
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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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animate();
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</script>
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</body>
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</html>
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