Docs: Update benchmark for openai/gpt-5.3-codex

tests/2_convex_hull/outputs/openai_gpt-5.3-codex.js

@@ -1,4 +1,40 @@
+async function findConvexHull(points = []) {
+  if (!Array.isArray(points)) throw new TypeError("Expected an array of points");
 
+  const { sortBy, uniqBy } = await import("https://cdn.jsdelivr.net/npm/lodash-es@4.17.21/lodash.js");
+
+  const pts = uniqBy(
+    sortBy(
+      points.filter(p => p && Number.isFinite(p.x) && Number.isFinite(p.y)),
+      ["x", "y"]
+    ),
+    p => `${p.x},${p.y}`
+  );
+
+  const n = pts.length;
+  if (n < 2) return pts.slice();
+
+  const cross = (o, a, b) => (a.x - o.x) * (b.y - o.y) - (a.y - o.y) * (b.x - o.x);
+
+  const lower = [];
+  for (let i = 0; i < n; i++) {
+    const p = pts[i];
+    while (lower.length > 1 && cross(lower[lower.length - 2], lower[lower.length - 1], p) <= 0) lower.pop();
+    lower.push(p);
+  }
+
+  const upper = [];
+  for (let i = n - 1; i >= 0; i--) {
+    const p = pts[i];
+    while (upper.length > 1 && cross(upper[upper.length - 2], upper[upper.length - 1], p) <= 0) upper.pop();
+    upper.push(p);
+  }
+
+  lower.pop();
+  upper.pop();
+
+  return lower.concat(upper);
+}
 export default findConvexHull;
-// Generation time: 0.773s
-// Result: FAIL
+// Generation time: 16.419s
+// Result: PASS