Rocky_Mountain_Vending/.pnpm-store/v10/files/97/7e0ceb037d52b888d3079487ec7394b3c015ac571977843b36641f7f95b3b8ef83650f218cb4cb2c40e989e9c37285e298edd2374da39e593e4e8398b1c725
DMleadgen 46d973904b
Initial commit: Rocky Mountain Vending website
Next.js website for Rocky Mountain Vending company featuring:
- Product catalog with Stripe integration
- Service areas and parts pages
- Admin dashboard with Clerk authentication
- SEO optimized pages with JSON-LD structured data

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-12 16:22:15 -07:00

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/**
* We want the run that's closest to the median of the FCP and the median of the TTI.
* We're using the Euclidean distance for that (https://en.wikipedia.org/wiki/Euclidean_distance).
* We use FCP and TTI because they represent the earliest and latest moments in the page lifecycle.
* We avoid the median of single measures like the performance score because they can still exhibit
* outlier behavior at the beginning or end of load.
*
* @param {Array<LH.Result>} runs
* @return {LH.Result}
*/
export function computeMedianRun(runs: Array<LH.Result>): LH.Result;
/**
* @param {Array<LH.Result>} runs
* @return {Array<LH.Result>}
*/
export function filterToValidRuns(runs: Array<LH.Result>): Array<LH.Result>;
//# sourceMappingURL=median-run.d.ts.map