/**
 * The statistics the run review stands on (DES-RUNS-REVIEW-001 §4). Pure and deterministic: the same inputs give
 * the same numbers, byte for byte, so a review can be re-derived.
 *
 *  - Rates: Wilson score interval (95 %), which stays inside [0, 1] and is honest at small n.
 *  - Long-tailed data (durations, spend, retries): the median and percentiles, never the mean. The interval is a
 *    bootstrap 95 % CI of the median: 1,000 resamples from a SEEDED generator (mulberry32), so it is reproducible.
 *  - Below {@link MIN_SAMPLE} no trend is called: the comparison says "too few runs to tell".
 */
/** The smallest sample a trend may be called on, in the window and in the baseline. */
export declare const MIN_SAMPLE = 5;
export declare const BOOTSTRAP_RESAMPLES = 1000;
export interface Interval {
    lo: number;
    hi: number;
}
/** Wilson score interval for `successes` of `n` (95 %). `null` when n is 0. */
export declare function wilson(successes: number, n: number, z?: number): Interval | null;
/** Linear-interpolated percentile (q in [0, 1]) of an ALREADY SORTED array. `null` when empty. */
export declare function percentileSorted(sorted: readonly number[], q: number): number | null;
export declare function sortedCopy(values: readonly number[]): number[];
export declare function median(values: readonly number[]): number | null;
/** mulberry32: a small, well-mixed 32-bit PRNG. Seeded, so every bootstrap is reproducible. */
export declare function mulberry32(seed: number): () => number;
/** A stable 32-bit seed from a label (FNV-1a), so each metric's bootstrap has its own reproducible stream. */
export declare function seedOf(label: string): number;
/** Bootstrap 95 % percentile CI of the median. `null` when empty. */
export declare function bootstrapMedianCI(values: readonly number[], seed: number, resamples?: number): Interval | null;
/** What a comparison against the baseline concluded. */
export type Verdict = 'too-few' | 'no-change' | 'improved' | 'regressed';
/**
 * Compare a window value (with its interval) against a baseline point value. Notable only when BOTH samples reach
 * {@link MIN_SAMPLE} and the window's interval EXCLUDES the baseline value. `higherIsBetter` gives the direction.
 */
export declare function compare(windowN: number, windowInterval: Interval | null, baselineN: number, baselineValue: number | null, higherIsBetter: boolean): Verdict;
/** Round for display and storage (a review is read by people; 4 significant decimals are plenty). */
export declare function round(v: number | null, places?: number): number | null;
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