Docs: Update benchmark results

tests/6_csv_processor/outputs/openai_gpt-5-codex.js

@@ -1,20 +1,18 @@
 let cache;
-async function processCSV(csv,cfg){
- const {csvParse,rollups}=await (cache??=import('https://cdn.jsdelivr.net/npm/d3@7/+esm'));
- const {filterColumn,filterValue,groupBy,aggregateColumn,operation}=cfg;
- if(!['sum','avg','count'].includes(operation))throw new Error('Unsupported operation');
- if(!csv||!filterColumn||!groupBy)throw new Error('Missing essentials');
- if(operation!=='count'&&!aggregateColumn)throw new Error('Missing aggregateColumn');
- const rows=csvParse(csv).filter(r=>r[filterColumn]==filterValue);
- if(!rows.length)return[];
- const fn=operation==='count'?v=>v.length:v=>{
-  let s=0,n=0;
-  for(const row of v){
-   const val=+row[aggregateColumn];
-   if(!Number.isNaN(val)){s+=val;n++;}
-  }
-  return operation==='sum'?s:n?s/n:0;
- };
- return rollups(rows,fn,r=>r[groupBy]).map(([k,v])=>({[groupBy]:k,[operation]:v}));
-}
+const load=()=>cache||(cache=Promise.all([
+  import('https://cdn.jsdelivr.net/npm/papaparse@5.4.1/papaparse.min.mjs'),
+  import('https://cdn.jsdelivr.net/npm/d3-array@3/+esm')
+]));
+const processCSV=async(csv,cfg)=>{
+  const[{default:Papa},{rollup}]=await load();
+  const{filterColumn:f,filterValue:v,groupBy:g,aggregateColumn:a,operation:o}=cfg;
+  const rows=Papa.parse(csv,{header:1,dynamicTyping:1,skipEmptyLines:1}).data.filter(r=>r[f]===v);
+  if(!rows.length)return[];
+  const map=rollup(rows,s=>{
+    if(o==='count')return s.length;
+    const t=s.reduce((p,c)=>p+(Number(c[a])||0),0);
+    return o==='avg'?t/s.length:t;
+  },r=>r[g]);
+  return Array.from(map,([k,val])=>({[g]:k,result:val}));
+};
 export default processCSV;