Docs: Update benchmark results

tests/6_csv_processor/outputs/openrouter_sherlock-think-alpha.js

@@ -1,19 +1,27 @@
-async function processCSV(csvString,config){
-  const{default:Papa}=await import('https://esm.sh/papaparse');
-  const{filterColumn:fc,filterValue:fv,groupBy:gb,aggregateColumn:ac,operation:op}=config;
-  const parsed=Papa.parse(csvString,{header:true}).data;
-  const filtered=parsed.filter(r=>r[fc]==fv);
-  const groups=filtered.reduce((acc,r)=>{
-    const k=r[gb];
-    const v=Number(r[ac])||0;
-    if(!acc[k])acc[k]={s:0,c:0};
-    acc[k].s+=v;
-    acc[k].c++;
-    return acc;
-  },{});
-  return Object.entries(groups).map(([k,g])=>{
-    const res=op==='count'?g.c:op==='sum'?g.s:g.s/g.c;
-    return{[gb]:k,result:res};
-  });
+async function processCSV(csv,{filterColumn,filterValue,groupBy,aggregateColumn,operation}){
+  const Papa=(await import('https://cdn.jsdelivr.net/npm/papaparse@5/+esm')).default;
+  const{data}=Papa.parse(csv,{header:true,skipEmptyLines:true});
+  const groups=new Map();
+  for(const row of data){
+    if(row[filterColumn]==filterValue){
+      const key=row[groupBy];
+      const val=Number(row[aggregateColumn])||0;
+      const g=groups.get(key)||{sum:0,count:0};
+      g.sum+=val;
+      g.count++;
+      groups.set(key,g);
+    }
+  }
+  const result=[];
+  for(const[key,g]of groups){
+    let res;
+    switch(operation){
+      case'sum':res=g.sum;break;
+      case'avg':res=g.sum/g.count;break;
+      case'count':res=g.count;break;
+    }
+    result.push({[groupBy]:key,result:res});
+  }
+  return result;
 }
 export default processCSV;