Files
lynchmark/tests/4_hexchain_pipeline/outputs/z-ai_glm-4.7.js
2026-03-05 18:51:12 +00:00

60 lines
1.5 KiB
JavaScript

const hexchain = async (tomlStr) => {
const [
{ default: parseToml },
{ default: seedrandom },
ss,
{ default: Ajv },
{ default: textTable },
{ default: DOMPurify }
] = await Promise.all([
import('https://esm.sh/smol-toml'),
import('https://esm.sh/seedrandom'),
import('https://esm.sh/simple-statistics'),
import('https://esm.sh/ajv'),
import('https://esm.sh/text-table'),
import('https://esm.sh/dompurify')
]);
const config = parseToml(tomlStr);
const ajv = new Ajv();
const schema = {
type: 'object',
required: ['seed', 'count', 'label'],
properties: {
seed: { type: 'string' },
count: { type: 'integer', minimum: 1, maximum: 10000 },
label: { type: 'string', minLength: 1 }
}
};
if (!ajv.validate(schema, config)) return { valid: false, errors: ajv.errorsText() };
const rng = new seedrandom(config.seed);
const numbers = Array.from({ length: config.count }, rng);
const [mean, stddev, median] = [
ss.mean(numbers),
ss.standardDeviation(numbers),
ss.median(numbers)
].map(n => parseFloat(n.toFixed(6)));
const tableStr = textTable([
['Stat', 'Value'],
['mean', String(mean)],
['stddev', String(stddev)],
['median', String(median)]
]);
const cleanHTML = DOMPurify.sanitize(`<pre class="stats">${tableStr}</pre>`);
return {
valid: true,
label: config.label,
stats: { mean, stddev, median },
table: cleanHTML,
count: config.count
};
};
export default hexchain;
// Generation time: 53.399s
// Result: FAIL