Refactor: Remove stale benchmark outputs

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

@@ -1,48 +0,0 @@
-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

tests/9_stream_visualizer/outputs/openrouter_aurora-alpha.js

@@ -1,17 +0,0 @@
-async function createStreamVisualizer(src,{maxPoints=500,alpha=.5,width=800,height=600,yDomain}){
-  const d3=await import('https://cdn.jsdelivr.net/npm/d3@7')
-  const d=[];let e
-  for await(const{timestamp:t,value:v}of src){
-    e=e===undefined?v:alpha*v+(1-alpha)*e
-    d.push({timestamp:t,value:v,ema:e})
-    if(d.length>maxPoints)d.shift()
-  }
-  if(!d.length)return{data:[],path:''}
-  const x=d3.scaleLinear().domain([d[0].timestamp,d.at(-1).timestamp]).range([0,width])
-  const y=d3.scaleLinear().domain(yDomain||[d3.min(d,d=>d.ema),d3.max(d,d=>d.ema)]).range([height,0])
-  const p=d3.line().x(v=>x(v.timestamp)).y(v=>y(v.ema)).curve(d3.curveLinear)
-  return{data:d,path:p(d)}
-}
-export default createStreamVisualizer;
-// Generation time: 1.456s
-// Result: FAIL

tests/9_stream_visualizer/outputs/openrouter_pony-alpha.js

@@ -1,30 +0,0 @@
-const createStreamVisualizer = async (iterable, { maxPoints, alpha, width, height, yDomain }) => {
-  const d3 = await import('https://esm.sh/d3');
-  const data = [];
-  let ema;
-
-  for await (const { timestamp, value } of iterable) {
-    ema = ema == null ? value : alpha * value + (1 - alpha) * ema;
-    data.push({ timestamp, value, ema });
-    if (data.length > maxPoints) data.shift();
-  }
-
-  if (!data.length) return { data, path: '' };
-
-  const x = d3.scaleLinear()
-    .domain([data[0].timestamp, data.at(-1).timestamp])
-    .range([0, width]);
-  const y = d3.scaleLinear()
-    .domain(yDomain)
-    .range([height, 0]);
-
-  const path = d3.line()
-    .x(d => x(d.timestamp))
-    .y(d => y(d.ema))
-    (data);
-
-  return { data, path };
-};
-export default createStreamVisualizer;
-// Generation time: 253.115s
-// Result: PASS