Docs: Update benchmark for z-ai/glm-5.1

tests/3_signal_pipeline/outputs/z-ai_glm-5.1.js

@@ -0,0 +1,44 @@
+const analyzeSignal = async (yamlStr) => {
+  const [yaml, math, ndarray, fft, DOMPurify] = await Promise.all([
+    import('https://esm.sh/js-yaml').then(m => m.default),
+    import('https://esm.sh/mathjs').then(m => m.default),
+    import('https://esm.sh/ndarray').then(m => m.default),
+    import('https://esm.sh/ndarray-fft').then(m => m.default),
+    import('https://esm.sh/dompurify').then(m => m.default)
+  ])
+
+  const { sampleRate: sr, duration, components } = yaml.load(yamlStr)
+  const N = sr * duration
+  const signal = new Float64Array(N)
+
+  for (let i = 0; i < N; i++) {
+    const t = i / sr
+    signal[i] = components.reduce(
+      (s, { amplitude: a, frequency: f }) => s + a * math.sin(2 * math.pi * f * t), 0)
+  }
+
+  const re = ndarray(signal, [N])
+  const im = ndarray(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: Math.round(mag * 100) / 100
+      })
+  }
+
+  peaks.sort((a, b) => b.magnitude - a.magnitude)
+
+  const html = `<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>`
+
+  return { peaks, html: DOMPurify.sanitize(html), signalLength: N }
+}
+export default analyzeSignal;
+// Generation time: 72.180s
+// Result: FAIL