Docs: Update benchmark for anthropic/claude-opus-4.8 EFF:medium

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github-actions[bot]
2026-05-31 18:07:47 +00:00
parent 39d0a9f316
commit e5f1b816d1
12 changed files with 413 additions and 0 deletions

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const CDN = {
yaml: "https://cdn.jsdelivr.net/npm/js-yaml/+esm",
math: "https://cdn.jsdelivr.net/npm/mathjs/+esm",
ndarray: "https://cdn.jsdelivr.net/npm/ndarray/+esm",
fft: "https://cdn.jsdelivr.net/npm/ndarray-fft/+esm",
purify: "https://cdn.jsdelivr.net/npm/dompurify/+esm"
};
const def = m => m.default ?? m;
export async function analyzeSignal(yamlStr) {
const [yamlMod, math, ndMod, fftMod, purifyMod] = await Promise.all([
import(CDN.yaml),
import(CDN.math),
import(CDN.ndarray),
import(CDN.fft),
import(CDN.purify)
]);
const yaml = def(yamlMod);
const ndarray = def(ndMod);
const fft = def(fftMod);
const DOMPurify = def(purifyMod);
const cfg = yaml.load(yamlStr);
const { sampleRate, duration, components = [] } = cfg;
const N = sampleRate * duration;
const signal = Array.from({ length: N }, (_, i) => {
const t = i / sampleRate;
return components.reduce(
(s, { amplitude, frequency }) =>
s + amplitude * math.sin(2 * math.pi * frequency * t),
0
);
});
const real = ndarray(new Float64Array(signal), [N]);
const imag = ndarray(new Float64Array(N), [N]);
fft(1, real, imag);
const half = N / 2;
const peaks = [];
for (let k = 0; k <= half; k++) {
const mag = math.sqrt(real.get(k) ** 2 + imag.get(k) ** 2) / half;
if (mag > 0.1)
peaks.push({
frequencyHz: Math.round((k * sampleRate) / N),
magnitude: Math.round(mag * 100) / 100
});
}
peaks.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: 11.820s
// Result: PASS