Docs: Update benchmark for openai/gpt-5.2 EFF:xhigh

tests/6_csv_processor/outputs/openai_gpt-5.2 EFF_xhigh.js

@@ -0,0 +1,37 @@
+const _csvLibs = (() => {
+  let p
+  return () =>
+    p ??= Promise.all([
+      import("https://cdn.jsdelivr.net/npm/d3-dsv@3/+esm"),
+      import("https://cdn.jsdelivr.net/npm/d3-array@3/+esm")
+    ]).then(([dsv, arr]) => ({ csvParse: dsv.csvParse, group: arr.group }))
+})()
+
+async function processCSV(csv, cfg = {}) {
+  if (typeof csv != "string") throw new TypeError("csv must be a string")
+
+  const { filterColumn, filterValue, groupBy, aggregateColumn, operation } = cfg
+  if (typeof filterColumn != "string" || !filterColumn) throw new TypeError("filterColumn required")
+  if (typeof groupBy != "string" || !groupBy) throw new TypeError("groupBy required")
+  if (!["sum", "avg", "count"].includes(operation)) throw new TypeError("operation must be sum|avg|count")
+  if (operation != "count" && (typeof aggregateColumn != "string" || !aggregateColumn))
+    throw new TypeError("aggregateColumn required for sum/avg")
+
+  const { csvParse, group } = await _csvLibs()
+  const rows = csvParse(csv)
+  const filtered = rows.filter(r => r[filterColumn] == filterValue)
+  const groups = group(filtered, r => r[groupBy])
+
+  const num = v => +v || 0
+  const calc = rs => {
+    const c = rs.length
+    if (operation == "count") return c
+    const s = rs.reduce((a, r) => a + num(r[aggregateColumn]), 0)
+    return operation == "avg" ? s / c : s
+  }
+
+  return Array.from(groups, ([k, rs]) => ({ [groupBy]: k, result: calc(rs) }))
+}
+export default processCSV;
+// Generation time: 136.946s
+// Result: PASS