Docs: Update benchmark for openai/gpt-5.2

tests/9_stream_visualizer/outputs/openai_gpt-5.2.js

@@ -0,0 +1,48 @@
+async function createStreamVisualizer(asyncIterable, o = {}) {
+  let {
+    maxPoints = 500,
+    alpha = 0.2,
+    width = 600,
+    height = 200,
+    yDomain = [0, 1]
+  } = o
+
+  alpha = +alpha
+  if (!(alpha >= 0 && alpha <= 1)) alpha = 0.2
+
+  let d3 = await import("https://cdn.jsdelivr.net/npm/d3@7/+esm")
+  let data = [], ema, seeded = false
+
+  for await (let p of asyncIterable) {
+    let timestamp, value
+
+    if (Array.isArray(p)) [timestamp, value] = p
+    else if (p && typeof p == "object") ({ timestamp, value } = p)
+    else (timestamp = Date.now()), (value = p)
+
+    timestamp = +timestamp
+    value = +value
+
+    if (!seeded) (ema = value), (seeded = true)
+    else ema = alpha * value + (1 - alpha) * ema
+
+    data.push({ timestamp, value, ema })
+
+    if (data.length > maxPoints) data.splice(0, data.length - maxPoints)
+  }
+
+  let path = ""
+  if (data.length) {
+    let t0 = data[0].timestamp, t1 = data.at(-1).timestamp
+    if (t0 === t1) t1 = t0 + 1
+
+    let x = d3.scaleLinear().domain([t0, t1]).range([0, width])
+    let y = d3.scaleLinear().domain(yDomain).range([height, 0])
+    path = d3.line().x(d => x(d.timestamp)).y(d => y(d.ema))(data) || ""
+  }
+
+  return { data, path }
+}
+export default createStreamVisualizer;
+// Generation time: 18.105s
+// Result: PASS