Docs: Update benchmark for test 3

tests/3_signal_pipeline/outputs/z-ai_glm-5.js

@@ -0,0 +1,42 @@
+async function analyzeSignal(yamlStr) {
+  const [{ default: yaml }, { default: math }, { default: nd }, { default: fft }, { default: purify }] = 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 { sampleRate: sr, duration, components } = yaml.load(yamlStr);
+  const N = sr * duration;
+  const sig = Array.from({ length: N }, (_, i) =>
+    components.reduce((s, { frequency, amplitude }) =>
+      s + amplitude * math.sin(2 * math.pi * frequency * i / sr), 0)
+  );
+
+  const re = nd(new Float64Array(sig), [N]);
+  const im = nd(new Float64Array(N), [N]);
+  fft(1, re, im);
+
+  const peaks = [];
+  for (let k = 0; k <= N / 2; k++) {
+    const mag = math.sqrt(re.get(k) ** 2 + im.get(k) ** 2) / (N / 2);
+    if (mag > 0.1) peaks.push({
+      frequencyHz: Math.round(k * sr / N),
+      magnitude: +mag.toFixed(2)
+    });
+  }
+
+  peaks.sort((a, b) => b.magnitude - a.magnitude);
+
+  return {
+    peaks,
+    html: purify.sanitize(`<table><tr><th>Frequency (Hz)</th><th>Magnitude</th></tr>${
+      peaks.map(p => `<tr><td>${p.frequencyHz}</td><td>${p.magnitude}</td></tr>`).join('')
+    }</table>`),
+    signalLength: N
+  };
+}
+export default analyzeSignal;
+// Generation time: 285.288s
+// Result: FAIL