129 lines
No EOL
4.2 KiB
HTML
129 lines
No EOL
4.2 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>Reaction-Diffusion Mesh</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: #33ff33;
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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: 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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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 from input
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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: 1.06, min: 1.0, max: 1.1 }
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};
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// Reaction-Diffusion setup
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const gridSize = 10;
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const cols = Math.floor(canvas.width / gridSize);
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const rows = Math.floor(canvas.height / gridSize);
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const grid = Array(cols).fill().map(() => Array(rows).fill(0));
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// Initialize with random seeding (density influences initial density)
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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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// Gray-Scott reaction parameters (adjusted for dryness)
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const F = 0.058;
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const k = 0.061;
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const diffusion = [0.16, 0.10]; // Slower diffusion for more intricate patterns
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// Temporary grid for calculations
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const tempGrid = Array(cols).fill().map(() => Array(rows).fill(0));
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function update() {
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// Simulate reaction-diffusion on temp grid
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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 u = grid[x][y];
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const v = 1 - u;
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// Reaction terms
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const uvv = u * v * v;
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const reaction = uvv - (F + k) * v;
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// Diffusion terms
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const laplaceU = (grid[x+1][y] + grid[x-1][y] + grid[x][y+1] + grid[x][y-1] - 4 * u) * diffusion[0];
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const laplaceV = (grid[x+1][y] + grid[x-1][y] + grid[x][y+1] + grid[x][y-1] - 4 * v) * diffusion[1];
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tempGrid[x][y] = u + (reaction + laplaceU) * params.pulse.avg;
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tempGrid[x][y] = Math.max(0, Math.min(1, tempGrid[x][y]));
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}
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}
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// Swap grids
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[grid, tempGrid] = [tempGrid, grid];
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// Draw
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ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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// Complexity affects color variation and detail
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const complexityFactor = params.complexity * 1.5 + 0.1;
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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 value = grid[x][y];
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if (value > 0.1) {
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const color = Math.floor(255 * (value * complexityFactor));
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ctx.fillStyle = `hsl(0, 0%, ${color}%)`;
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ctx.beginPath();
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ctx.arc(
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x * gridSize + gridSize/2,
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y * gridSize + gridSize/2,
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gridSize * 0.4 * (params.connectedness + 0.3),
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0, Math.PI * 2
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);
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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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update();
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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> |