Files
lynchmark/tests/3_signal_pipeline/outputs/moonshotai_kimi-k2.7-code.js
2026-06-19 23:28:58 +00:00

46 lines
1.6 KiB
JavaScript

const analyzeSignal = async (yamlString) => {
const [yaml, mathMod, ndarrayMod, fftMod, domMod] = await Promise.all([
import('https://esm.sh/js-yaml@4.1.0'),
import('https://esm.sh/mathjs@11.11.0'),
import('https://esm.sh/ndarray'),
import('https://esm.sh/ndarray-fft'),
import('https://esm.sh/dompurify@3.0.3')
]);
const math = mathMod.default;
const ndarray = ndarrayMod.default;
const fft = fftMod.default;
const DOMPurify = domMod.default(window);
const { sampleRate, duration, components } = yaml.load(yamlString);
const N = sampleRate * duration;
const half = N / 2;
const signal = new Array(N);
for (let i = 0; i < N; i++) {
const t = i / sampleRate;
let s = 0;
for (const { frequency, amplitude } of components) {
s += amplitude * math.sin(2 * math.pi * frequency * t);
}
signal[i] = s;
}
const real = ndarray(new Float64Array(signal));
const imag = ndarray(new Float64Array(N));
fft(1, real, imag);
const magnitude = [];
for (let k = 0; k <= half; k++) {
magnitude[k] = math.sqrt(real.get(k) ** 2 + imag.get(k) ** 2) / half;
}
const peaks = magnitude
.map((m, k) => ({
frequencyHz: Math.round(k * sampleRate / N),
magnitude: Math.round(m * 100) / 100
}))
.filter(p => p.magnitude > 0.1)
.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: 83.104s
// Result: FAIL