Docs: Update benchmark for openai/gpt-5.6-luna EFF:high

tests/6_csv_processor/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,73 @@
+const dependencies = Promise.all([
+  import("https://cdn.jsdelivr.net/npm/papaparse@5.4.3/+esm"),
+  import("https://cdn.jsdelivr.net/npm/lodash@4.17.21/+esm")
+]);
+
+async function processCSV(csv, config) {
+  if (typeof csv !== "string") throw new TypeError("csv must be a string");
+  if (!config || typeof config !== "object") {
+    throw new TypeError("config must be an object");
+  }
+
+  const {
+    filterColumn,
+    filterValue,
+    groupBy,
+    aggregateColumn,
+    operation
+  } = config;
+
+  if (![filterColumn, groupBy, aggregateColumn].every(
+    value => typeof value === "string"
+  )) {
+    throw new TypeError("Column names must be strings");
+  }
+
+  if (!["sum", "avg", "count"].includes(operation)) {
+    throw new RangeError("operation must be sum, avg, or count");
+  }
+
+  const [parserModule, utilityModule] = await dependencies;
+  const Papa = parserModule.default ?? parserModule;
+  const _ = utilityModule.default ?? utilityModule;
+
+  const parsed = Papa.parse(csv, {
+    header: true,
+    skipEmptyLines: true
+  });
+
+  if (parsed.errors.length) {
+    throw new Error(
+      parsed.errors.map(error => error.message).join("; ")
+    );
+  }
+
+  const rows = _.filter(
+    parsed.data,
+    row => row[filterColumn] == filterValue
+  );
+
+  const groups = _.groupBy(rows, groupBy);
+
+  const toNumber = value => {
+    const number = Number(value);
+    return Number.isFinite(number) ? number : 0;
+  };
+
+  return Object.values(groups).map(group => {
+    const total = operation === "count"
+      ? group.length
+      : group.reduce(
+          (sum, row) => sum + toNumber(row[aggregateColumn]),
+          0
+        );
+
+    return {
+      [groupBy]: group[0][groupBy],
+      result: operation === "avg" ? total / group.length : total
+    };
+  });
+}
+export default processCSV;
+// Generation time: 22.212s
+// Result: FAIL