Docs: Update benchmark for moonshotai/kimi-k3 EFF:medium

tests/2_convex_hull/outputs/moonshotai_kimi-k3 EFF_medium.js

@@ -0,0 +1,31 @@
+async function findConvexHull(points) {
+  if (!Array.isArray(points) || points.some(p => !p || !Number.isFinite(p.x) || !Number.isFinite(p.y))) {
+    throw new TypeError('findConvexHull expects an array of finite {x, y} points');
+  }
+
+  const { sortBy, uniqWith } = await import('https://cdn.jsdelivr.net/npm/lodash-es@4.17.21/+esm');
+  const ps = uniqWith(
+    sortBy(points.map(({ x, y }) => ({ x, y })), ['x', 'y']),
+    (a, b) => a.x === b.x && a.y === b.y
+  );
+
+  if (ps.length < 3) return ps;
+
+  const cross = (o, a, b) => (a.x - o.x) * (b.y - o.y) - (a.y - o.y) * (b.x - o.x);
+  const half = q => {
+    const h = [];
+    for (const p of q) {
+      while (h.length > 1 && cross(h[h.length - 2], h[h.length - 1], p) <= 0) h.pop();
+      h.push(p);
+    }
+    return h;
+  };
+
+  const lo = half(ps);
+  const hi = half([...ps].reverse());
+
+  return [...lo.slice(0, -1), ...hi.slice(0, -1)];
+}
+export default findConvexHull;
+// Generation time: 96.201s
+// Result: PASS