Docs: Update benchmark for test 3

tests/3_signal_pipeline/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,46 @@
+async function analyzeSignal(yamlString) {
+  const [
+    { default: jsYaml },
+    math,
+    { default: ndarray },
+    ndarrayFft,
+    DOMPurify
+  ] = await Promise.all([
+    import('https://esm.sh/js-yaml'),
+    import('https://esm.sh/mathjs'),
+    import('https://esm.sh/ndarray'),
+    import('https://esm.sh/ndarray-fft'),
+    import('https://esm.sh/dompurify')
+  ]);
+
+  const cfg = jsYaml.load(yamlString);
+  const N = cfg.sampleRate * cfg.duration;
+  const signal = Array(N).fill(0).map((_, i) => {
+    const t = i / cfg.sampleRate;
+    return cfg.components.reduce((s, c) =>
+      s + c.amplitude * math.sin(2 * math.pi * c.frequency * t), 0);
+  });
+
+  const real = ndarray(new Float64Array(signal), [N]);
+  const imag = ndarray(new Float64Array(N), [N]);
+  ndarrayFft(1, real, imag);
+
+  const half = N / 2;
+  const mags = Array(half + 1).fill(0).map((_, k) =>
+    math.sqrt(real.get(k) ** 2 + imag.get(k) ** 2) / half);
+
+  const peaks = mags
+    .map((m, k) => ({ frequencyHz: Math.round(k * cfg.sampleRate / N), magnitude: +m.toFixed(2) }))
+    .filter(p => p.magnitude > 0.1)
+    .sort((a, b) => b.magnitude - a.magnitude);
+
+  const rows = peaks.map(p => `<tr><td>${p.frequencyHz}</td><td>${p.magnitude}</td></tr>`).join('');
+  const html = DOMPurify.sanitize(
+    `<table><tr><th>Frequency (Hz)</th><th>Magnitude</th></tr>${rows}</table>`
+  );
+
+  return { peaks, html, signalLength: N };
+}
+export default analyzeSignal;
+// Generation time: 6.922s
+// Result: FAIL