Boids flocking · gpt-oss-safeguard-20b
Create a full-screen flocking simulation of boids using separation, alignment, and cohesion, drawn as oriented triangles that steer smoothly and flee from the mouse cursor.
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Create a full-screen flocking simulation of boids using separation, alignment, and cohesion, drawn as oriented triangles that steer smoothly and flee from the mouse cursor.
thinking
We need to write an index.html file with self-contained CSS and JS. Flocking simulation: classic boids with separation, alignment, cohesion, plus mouse avoidance. Draw oriented triangles representing each boid.
Goal: full-screen. Use requestAnimationFrame. Use canvas. Use simple physics: position, velocity, acceleration. Compute steering forces.
Let's create a minimal but functional boids simulation with 100 boids maybe. Use mouse coordinates: when near, boids flee.
Implement in JS within script tag. Use event listeners to get mouse position.
Use CSS to set body margin 0, overflow hidden, canvas full-screen. Use canvas 100% width/height.
We'll create a class Boid with methods update, show.
Also ensure orientation: rotate triangle according to velocity direction. Draw triangle path.
Let's craft the code.
We need to output file content. Use write function with path "index.html". We'll write the entire content. Let's prepare string.
Also we might need to handle high DPI: set canvas.width/height to window.innerWidth * devicePixelRatio, but scaling accordingly.
Let's write index.html with DOCTYPE html, head with meta charset, title, style. body with canvas. script includes.
Let's write the JS:
- let boids = [];
- let numBoids = 100;
- let canvas, ctx;
- mouse = { x: null, y: null };
Functions: setup(), draw(), animate().
Implement vector operations using simple objects with x,y; but we can just use arrays or simple functions.
Simpler: use arrays [x, y]. But we need to implement add, sub, mul, div, limit, magnitude, setMag, normalize, etc.
Let's implement small vector helper functions.
Implement Boid constructor with random position, velocity.
Update:
- applyForce(boid, force)
- separation, alignment, cohesion each return vector.
Compute neighbor distance threshold, e.g., viewRadius = 50.
Implement separation: avoid neighbors within separationDistance.
Alignment: match velocity of neighbors.
Cohesion: move towards center of mass of neighbors.
Also mouse avoidance: if distance to mouse < mouseRadius, compute steering away.
Weight constants: separationWeight, alignmentWeight, cohesionWeight, mouseWeight.
Limit speed.
Then show: draw oriented triangle. Use ctx.save(); ctx.translate(x, y); ctx.rotate(angle); ctx.beginPath(); ctx.moveTo(0, -size); ctx.lineTo(-size/2, size/2); ctx.lineTo(size/2, size/2); ctx.closePath(); ctx.fillStyle = color; ctx.fill(); ctx.restore();
Set fill color maybe gradient or random.
Edge wrapping: if boid moves outside canvas, wrap to opposite side.
Let's craft final code.
Need to include some CSS to set canvas to full-screen.
Let's write index.html.
We'll produce the code via write function.
Let's create the content string.
Proceed.index.html (5549 bytes)Successfully wrote 5549 bytes to index.html
thinking
We already wrote index.html. Need to confirm any issues: It's a single file with CSS and JS. It's full screen, uses mouse, no external resources. Should be fine. But we didn't include 'use strict'? not necessary. maybe also handle pointer events? But fine. Check for potential missing semicolons? not critical. Provide final answer.
The **index.html** file has been created with a self‑contained full‑screen Boids flocking simulation. It includes all CSS, JavaScript, and canvas rendering logic in one file, using only standard web APIs. You can open this file in any modern browser to see the animated boids that align, separate, and cohere while avoiding the mouse cursor.
TAKE IT TO CODE
A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.
RUN
EVALUATION
Boids flock in triangular clusters with continuous smooth motion; matches flocking prompt though mouse flee reaction unclear.
Vision grade · anthropic/claude-sonnet-5
MEASUREMENTS
Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.