Docs: Update benchmark results

tests/2_convex_hull/outputs/openai_gpt-5-codex.js

@@ -0,0 +1,23 @@
+const lod=import('https://cdn.jsdelivr.net/npm/lodash-es@4.17.21/lodash.js');
+
+export async function findConvexHull(input){
+  if(!Array.isArray(input)) return [];
+  const {uniqBy:uniq,sortBy:sort}=await lod;
+  const pts=sort(uniq(input.filter(p=>p&&Number.isFinite(p.x)&&Number.isFinite(p.y)).map(p=>({x:+p.x,y:+p.y})),p=>`${p.x}:${p.y}`),['x','y']);
+  if(pts.length<2) return pts;
+  const area=(a,b,c)=>(b.x-a.x)*(c.y-a.y)-(b.y-a.y)*(c.x-a.x);
+  const walk=list=>{
+    const res=[];
+    for(const p of list){
+      while(res.length>1&&area(res[res.length-2],res[res.length-1],p)<=0)res.pop();
+      res.push(p);
+    }
+    return res;
+  };
+  const low=walk(pts);
+  const up=walk(pts.slice().reverse());
+  const hull=low.slice(0,-1).concat(up.slice(0,-1));
+  const out=hull.length?hull:pts.slice(0,2);
+  return out.length<3?out:out.reverse();
+}
+export default findConvexHull;