loop-benchmarking

Controlled experiments across agentic coding configurations. Same task, one variable, what actually works.
git clone https://git.shiptheloop.com/loop-benchmarking.git
Log | Files | Refs | README

pca.astro (932B)


      1 ---
      2 import Base from "../layouts/Base.astro";
      3 import PCAPlot from "../components/PCAPlot";
      4 import fs from "node:fs";
      5 import path from "node:path";
      6 
      7 const pcaPath = path.resolve(process.cwd(), "../results/analysis/pca.json");
      8 let pcaData = null;
      9 if (fs.existsSync(pcaPath)) {
     10   pcaData = JSON.parse(fs.readFileSync(pcaPath, "utf-8"));
     11 }
     12 ---
     13 
     14 <Base title="PCA">
     15   <h1 style="margin-bottom: 8px;">Principal Component Analysis</h1>
     16   <p style="color: var(--text-muted); margin-bottom: 24px; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;">
     17     Dimensionality reduction of the configuration space. Which axes drive the most variance?
     18   </p>
     19 
     20   {pcaData ? (
     21     <PCAPlot client:only="react" data={pcaData} />
     22   ) : (
     23     <div class="card" style="text-align: center; padding: 40px; color: var(--text-muted);">
     24       No PCA data yet. Run <code>python3 harness/pca-analysis.py</code> to generate.
     25     </div>
     26   )}
     27 </Base>

Impressum · Datenschutz