import type { ContinuousSample } from './samples';
import type { TrackSamples } from './types';
/**
 * Convert a decoded segment into columnar track data.
 *
 * Returns `null` when the decoded input has no usable samples. `useMergedTrack`
 * treats `null` as an empty segment (skipped during merging).
 *
 * Users with non-JSONL chunk formats (Parquet, Arrow, msgpack, custom binary)
 * write their own `Normalizer<T>` and pass it to `useMergedTrack` via
 * `options.normalize`. The hook's merging + gap-safety logic works with any
 * normalizer output shape.
 */
export type Normalizer<T = unknown> = (decoded: T) => Map<string, TrackSamples> | null;
/**
 * Default normalizer: each JSONL line is a `ContinuousSample` (`{ts, data}`).
 *
 * - Stride is inferred from the first sample's `data` field.
 * - Scalar `data` (number) produces stride=1 with `values[i] = data`.
 * - Array `data` (number[]) produces stride=data.length with samples interleaved.
 * - Returns a single track named `"data"`.
 *
 * Top-level `const` for reference stability — safe to pass as a default.
 */
export declare const samplesNormalizer: Normalizer<ContinuousSample[]>;
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