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Docs: Update benchmark for anthropic/claude-sonnet-5 EFF:high
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@@ -0,0 +1,60 @@
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async function analyzeSignal(yamlString) {
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const [
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{ default: yaml },
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{ default: math },
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{ default: ndarray },
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{ default: fft },
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{ default: DOMPurify },
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] = await Promise.all([
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import('https://esm.sh/js-yaml@4'),
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import('https://esm.sh/mathjs@12'),
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import('https://esm.sh/ndarray@1'),
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import('https://esm.sh/ndarray-fft@1'),
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import('https://esm.sh/dompurify@3'),
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]);
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const config = yaml.load(yamlString);
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const { sampleRate, duration, components } = config;
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const N = sampleRate * duration;
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const signal = Array.from({ length: N }, (_, i) => {
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const t = i / sampleRate;
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return components.reduce(
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(sum, { frequency, amplitude }) =>
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sum + amplitude * math.sin(2 * math.pi * frequency * t),
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0
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);
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});
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const real = ndarray(new Float64Array(signal));
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const imag = ndarray(new Float64Array(N));
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fft(1, real, imag);
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const half = N / 2;
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const magnitude = Array.from({ length: half + 1 }, (_, k) => {
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const re = real.get(k);
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const im = imag.get(k);
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return math.sqrt(re * re + im * im) / half;
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});
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const peaks = magnitude
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.map((mag, k) => ({ frequencyHz: (k * sampleRate) / N, magnitude: mag }))
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.filter(({ magnitude }) => magnitude > 0.1)
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.sort((a, b) => b.magnitude - a.magnitude)
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.map(({ frequencyHz, magnitude }) => ({
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frequencyHz: Math.round(frequencyHz),
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magnitude: Math.round(magnitude * 100) / 100,
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}));
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const rows = peaks
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.map(({ frequencyHz, magnitude }) => `<tr><td>${frequencyHz}</td><td>${magnitude}</td></tr>`)
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.join('');
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const rawHtml = `<table><tr><th>Frequency (Hz)</th><th>Magnitude</th></tr>${rows}</table>`;
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const html = DOMPurify.sanitize(rawHtml);
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return { peaks, html, signalLength: N };
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}
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export default analyzeSignal;
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// Generation time: 8.829s
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// Result: FAIL
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