Docs: Update benchmark for moonshotai/kimi-k2-thinking

tests/2_convex_hull/outputs/moonshotai_kimi-k2-thinking.js

@@ -0,0 +1,24 @@
+async function findConvexHull(points) {
+  const { default: _ } = await import('https://cdn.jsdelivr.net/npm/lodash@4/esm/lodash.js');
+  
+  if (!points || points.length < 3) return [...(points || [])];
+  
+  const pts = _.sortBy(_.uniqWith(points, (a, b) => a.x === b.x && a.y === b.y), ['x', 'y']);
+  
+  const cross = (o, a, b) => (a.x - o.x) * (b.y - o.y) - (a.y - o.y) * (b.x - o.x);
+  
+  const build = arr => {
+    const h = [];
+    for (const p of arr) {
+      while (h.length >= 2 && cross(h[h.length - 2], h[h.length - 1], p) <= 0) h.pop();
+      h.push(p);
+    }
+    return h;
+  };
+  
+  const lower = build(pts);
+  const upper = build([...pts].reverse());
+  
+  return [...lower.slice(0, -1), ...upper.slice(0, -1)];
+}
+export default findConvexHull;