Docs: Update Gemini benchmark results

tests/6_csv_processor/outputs_gemini/gemini-3-pro-preview TEMP_0.9.js

@@ -1,20 +1,20 @@
-const processCSV = async (csvStr, { filterColumn: fc, filterValue: fv, groupBy: gb, aggregateColumn: ac, operation: op }) => {
-  const { csvParse } = await import('https://esm.sh/d3-dsv@3');
-  
-  const groups = csvParse(csvStr).reduce((acc, row) => {
-    if (row[fc] == fv) {
-      const key = row[gb], val = +row[ac] || 0;
-      const entry = acc.get(key) || { s: 0, c: 0 };
-      entry.s += val;
-      entry.c++;
-      acc.set(key, entry);
-    }
-    return acc;
-  }, new Map());
+const processCSV = async (csv, { filterColumn, filterValue, groupBy, aggregateColumn, operation }) => {
+  const { parse } = await import('https://cdn.jsdelivr.net/npm/papaparse@5.4.1/+esm');
+  const groups = {};
 
-  return Array.from(groups, ([key, { s, c }]) => ({
-    [gb]: key,
-    result: op === 'count' ? c : op === 'sum' ? s : s / c
+  parse(csv, { header: true, skipEmptyLines: true }).data.forEach(row => {
+    if (row[filterColumn] == filterValue) {
+      const key = row[groupBy];
+      const val = +row[aggregateColumn] || 0;
+      const acc = groups[key] ??= { sum: 0, count: 0 };
+      acc.sum += val;
+      acc.count++;
+    }
+  });
+
+  return Object.entries(groups).map(([key, { sum, count }]) => ({
+    [groupBy]: key,
+    result: operation === 'count' ? count : operation === 'avg' ? sum / count : sum
   }));
 };
 export default processCSV;