230 lines
8.4 KiB
HTML
230 lines
8.4 KiB
HTML
|
```html
|
||
|
|
<!DOCTYPE html>
|
||
|
|
<html lang="en">
|
||
|
|
<head>
|
||
|
|
<meta charset="UTF-8">
|
||
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||
|
|
<title>Teal Tremors</title>
|
||
|
|
<style>
|
||
|
|
body {
|
||
|
|
margin: 0;
|
||
|
|
overflow: hidden;
|
||
|
|
background: #0a0a0a;
|
||
|
|
display: flex;
|
||
|
|
justify-content: center;
|
||
|
|
align-items: center;
|
||
|
|
height: 100vh;
|
||
|
|
font-family: 'Courier New', monospace;
|
||
|
|
}
|
||
|
|
canvas {
|
||
|
|
display: block;
|
||
|
|
}
|
||
|
|
#attribution {
|
||
|
|
position: absolute;
|
||
|
|
bottom: 20px;
|
||
|
|
color: #4a5c5e;
|
||
|
|
font-size: 10px;
|
||
|
|
text-align: center;
|
||
|
|
width: 100%;
|
||
|
|
}
|
||
|
|
</style>
|
||
|
|
</head>
|
||
|
|
<body>
|
||
|
|
<canvas id="canvas"></canvas>
|
||
|
|
<div id="attribution">neurameba · motd.social</div>
|
||
|
|
|
||
|
|
<script>
|
||
|
|
const canvas = document.getElementById('canvas');
|
||
|
|
const ctx = canvas.getContext('2d');
|
||
|
|
|
||
|
|
function resizeCanvas() {
|
||
|
|
canvas.width = window.innerWidth;
|
||
|
|
canvas.height = window.innerHeight;
|
||
|
|
}
|
||
|
|
window.addEventListener('resize', resizeCanvas);
|
||
|
|
resizeCanvas();
|
||
|
|
|
||
|
|
// Parameters derived from generative art input
|
||
|
|
const params = {
|
||
|
|
motion: 0.494,
|
||
|
|
density: 0.427,
|
||
|
|
complexity: 0.580,
|
||
|
|
connectedness: 0.487,
|
||
|
|
lifespan: 0.470,
|
||
|
|
survivingNodes: 140,
|
||
|
|
branchCount: 135,
|
||
|
|
loops: 1974,
|
||
|
|
maxDepth: 54,
|
||
|
|
thicknessRatio: 1.25,
|
||
|
|
fractalDim: 0.839,
|
||
|
|
finalEnergy: 4155.2,
|
||
|
|
pulse: { avg: 0.47, min: 0.30, max: 2.00 },
|
||
|
|
tone: {
|
||
|
|
anger: 0.00,
|
||
|
|
sadness: 0.00,
|
||
|
|
curiosity: 0.80,
|
||
|
|
dryness: 0.90,
|
||
|
|
playfulness: 0.10,
|
||
|
|
tension: 0.00
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
// Reaction-diffusion agent parameters
|
||
|
|
const agentCount = Math.floor(params.survivingNodes * 3);
|
||
|
|
const diffusionRate = 0.3;
|
||
|
|
const reactionRate = 0.7;
|
||
|
|
const feedRate = 0.055;
|
||
|
|
const killRate = 0.062;
|
||
|
|
const stepSize = 0.1;
|
||
|
|
|
||
|
|
// Initialize grids
|
||
|
|
const size = Math.min(canvas.width, canvas.height);
|
||
|
|
const gridWidth = Math.floor(canvas.width / 4);
|
||
|
|
const gridHeight = Math.floor(canvas.height / 4);
|
||
|
|
const agents = [];
|
||
|
|
const feed = new Array(gridWidth * gridHeight).fill(0);
|
||
|
|
const kill = new Array(gridWidth * gridHeight).fill(0);
|
||
|
|
const concentration = new Array(gridWidth * gridHeight).fill(0);
|
||
|
|
|
||
|
|
// Initialize agents
|
||
|
|
for (let i = 0; i < agentCount; i++) {
|
||
|
|
agents.push({
|
||
|
|
x: Math.random() * gridWidth,
|
||
|
|
y: Math.random() * gridHeight,
|
||
|
|
vx: (Math.random() - 0.5) * params.motion * 2,
|
||
|
|
vy: (Math.random() - 0.5) * params.motion * 2,
|
||
|
|
radius: 1 + Math.random() * 2 * params.thicknessRatio,
|
||
|
|
hue: 180 + Math.random() * 20,
|
||
|
|
sat: 50 + Math.random() * 30,
|
||
|
|
lum: 60 + Math.random() * 20,
|
||
|
|
life: Math.random() * params.lifespan * 100,
|
||
|
|
maxLife: Math.random() * params.lifespan * 100 + 50
|
||
|
|
});
|
||
|
|
}
|
||
|
|
|
||
|
|
// Initialize feed/kill patterns
|
||
|
|
for (let y = 0; y < gridHeight; y++) {
|
||
|
|
for (let x = 0; x < gridWidth; x++) {
|
||
|
|
const idx = y * gridWidth + x;
|
||
|
|
feed[idx] = Math.sin(x * 0.1) * Math.cos(y * 0.1) * 0.1 + 0.05;
|
||
|
|
kill[idx] = Math.cos(x * 0.05) * Math.sin(y * 0.05) * 0.1 + 0.05;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
function update() {
|
||
|
|
// Clear with semi-transparent overlay
|
||
|
|
ctx.fillStyle = 'rgba(0, 0, 0, 0.05)';
|
||
|
|
ctx.fillRect(0, 0, canvas.width, canvas.height);
|
||
|
|
|
||
|
|
// Diffusion step
|
||
|
|
for (let i = 0; i < agents.length; i++) {
|
||
|
|
const a = agents[i];
|
||
|
|
a.x += a.vx;
|
||
|
|
a.y += a.vy;
|
||
|
|
|
||
|
|
// Wrap around edges
|
||
|
|
a.x = (a.x + gridWidth) % gridWidth;
|
||
|
|
a.y = (a.y + gridHeight) % gridHeight;
|
||
|
|
|
||
|
|
// Update concentration
|
||
|
|
const idx = Math.floor(a.y) * gridWidth + Math.floor(a.x);
|
||
|
|
concentration[idx] += 0.1;
|
||
|
|
}
|
||
|
|
|
||
|
|
// Reaction-diffusion simulation
|
||
|
|
const newConcentration = new Array(gridWidth * gridHeight).fill(0);
|
||
|
|
|
||
|
|
for (let y = 0; y < gridHeight; y++) {
|
||
|
|
for (let x = 0; x < gridWidth; x++) {
|
||
|
|
const idx = y * gridWidth + x;
|
||
|
|
const c = concentration[idx];
|
||
|
|
const f = feed[idx];
|
||
|
|
const k = kill[idx];
|
||
|
|
|
||
|
|
// Gray-Scott model
|
||
|
|
const lap = (concentration[(y-1)*gridWidth + x] +
|
||
|
|
concentration[(y+1)*gridWidth + x] +
|
||
|
|
concentration[y*gridWidth + (x-1)] +
|
||
|
|
concentration[y*gridWidth + (x+1)] -
|
||
|
|
4 * c) * diffusionRate;
|
||
|
|
|
||
|
|
const reaction = c * c * (f - (k + 1)) + f;
|
||
|
|
newConcentration[idx] = Math.min(1, Math.max(0, c + lap * stepSize + reaction * stepSize * params.complexity));
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
// Update agents based on concentration
|
||
|
|
for (let i = agents.length - 1; i >= 0; i--) {
|
||
|
|
const a = agents[i];
|
||
|
|
const idx = Math.floor(a.y) * gridWidth + Math.floor(a.x);
|
||
|
|
const localConcentration = newConcentration[idx];
|
||
|
|
|
||
|
|
// Move toward higher concentration areas
|
||
|
|
a.vx += (Math.random() - 0.5) * params.motion * 0.1;
|
||
|
|
a.vy += (Math.random() - 0.5) * params.motion * 0.1;
|
||
|
|
|
||
|
|
// Adjust properties based on concentration
|
||
|
|
a.radius = 1 + localConcentration * 3 * params.thicknessRatio;
|
||
|
|
a.hue = 180 + localConcentration * 20;
|
||
|
|
a.sat = 50 + localConcentration * 30;
|
||
|
|
a.lum = 60 + localConcentration * 20;
|
||
|
|
a.life += params.lifespan;
|
||
|
|
|
||
|
|
// Remove dead agents
|
||
|
|
if (a.life > a.maxLife || Math.random() < params.motion * 0.01) {
|
||
|
|
agents.splice(i, 1);
|
||
|
|
// Create new agent
|
||
|
|
agents.push({
|
||
|
|
x: Math.random() * gridWidth,
|
||
|
|
y: Math.random() * gridHeight,
|
||
|
|
vx: (Math.random() - 0.5) * params.motion * 2,
|
||
|
|
vy: (Math.random() - 0.5) * params.motion * 2,
|
||
|
|
radius: 1 + Math.random() * 2 * params.thicknessRatio,
|
||
|
|
hue: 180 + Math.random() * 20,
|
||
|
|
sat: 50 + Math.random() * 30,
|
||
|
|
lum: 60 + Math.random() * 20,
|
||
|
|
life: 0,
|
||
|
|
maxLife: 1000 * params.lifespan
|
||
|
|
});
|
||
|
|
}
|
||
|
|
|
||
|
|
// Draw agent
|
||
|
|
const screenX = (a.x / gridWidth) * canvas.width;
|
||
|
|
const screenY = (a.y / gridHeight) * canvas.height;
|
||
|
|
const globalConcentration = concentration[idx] * 100;
|
||
|
|
|
||
|
|
ctx.beginPath();
|
||
|
|
ctx.arc(screenX, screenY, a.radius * 2, 0, Math.PI * 2);
|
||
|
|
ctx.fillStyle = `hsla(${a.hue}, ${a.sat}%, ${a.lum - globalConcentration * 0.5}%, ${0.2 + globalConcentration * 0.005})`;
|
||
|
|
ctx.fill();
|
||
|
|
}
|
||
|
|
|
||
|
|
// Draw some feed/kill patterns
|
||
|
|
ctx.globalAlpha = 0.1;
|
||
|
|
for (let y = 0; y < gridHeight; y += 5) {
|
||
|
|
for (let x = 0; x < gridWidth; x += 5) {
|
||
|
|
const idx = y * gridWidth + x;
|
||
|
|
const sx = (x / gridWidth) * canvas.width;
|
||
|
|
const sy = (y / gridHeight) * canvas.height;
|
||
|
|
|
||
|
|
ctx.strokeStyle = `hsl(180, 50%, ${50 + feed[idx] * 30}%)`;
|
||
|
|
ctx.beginPath();
|
||
|
|
ctx.arc(sx, sy, 2, 0, Math.PI * 2);
|
||
|
|
ctx.stroke();
|
||
|
|
|
||
|
|
ctx.strokeStyle = `hsl(0, 50%, ${50 + kill[idx] * 30}%)`;
|
||
|
|
ctx.beginPath();
|
||
|
|
ctx.arc(sx + 5, sy, 2, 0, Math.PI * 2);
|
||
|
|
ctx.stroke();
|
||
|
|
}
|
||
|
|
}
|
||
|
|
ctx.globalAlpha = 1;
|
||
|
|
|
||
|
|
requestAnimationFrame(update);
|
||
|
|
}
|
||
|
|
|
||
|
|
update();
|
||
|
|
</script>
|
||
|
|
</body>
|
||
|
|
</html>
|
||
|
|
```
|