import { type Matrix3x3 } from '../../math';
import type { PositionStreamOptions, TrajectoryFrame, TrajectoryMetadata, TrajectorySignal, TrajectorySignalDescriptor } from '../index';
import type { Dataset, Entity, Group } from 'h5wasm';
import type * as h5wasm from 'h5wasm';
export declare const is_hdf5_dataset: (entity: Entity | null) => entity is Dataset;
export declare const is_hdf5_group: (entity: Entity | null) => entity is Group;
export declare class Hdf5GroupSelectionRequiredError extends Error {
    readonly groups: string[];
    constructor(groups: string[], message?: string);
}
export declare const attribute_value: (entity: Dataset | Group, names: string[]) => unknown;
export declare const string_value: (value: unknown) => string | undefined;
export declare const dataset_at: (h5_file: h5wasm.File, path: string | undefined) => Dataset | null;
export declare const dataset_shape: (dataset: Dataset, path: string, format: string) => number[];
export declare const read_numeric_1d: (dataset: Dataset, path: string, count: number, format: string) => number[];
export declare const lattice_from_values: (values: ArrayLike<number>, offset?: number) => Matrix3x3;
export declare const attach_site_vectors: (frame: TrajectoryFrame, key: string, values: ArrayLike<number>) => void;
export declare const sampled_property_rows: (n_frames: number, step_of: (frame_idx: number) => number, read_properties: (frame_indices: number[], stride: number) => Record<string, number>[]) => TrajectoryMetadata[];
export declare const read_dataset: (h5_file: h5wasm.File, path: string) => unknown;
export declare const HDF5_MAX_LOGICAL_SLICE_BYTES: number;
export declare const read_numeric_hyperslab: (dataset: Dataset, path: string, ranges: Parameters<Dataset[`slice`]>[0]) => number[];
export declare const hdf5_frames_per_slice: (...values_per_frame: number[]) => number;
export declare const to_string_array: (data: unknown) => string[] | null;
export declare const to_number_array: (data: unknown) => number[] | null;
export declare const to_scalar_number: (data: unknown) => number | null;
export declare const trajectory_signal: (values: Float64Array, { sample_shape, unit }: {
    sample_shape: number[];
    unit?: string;
}, steps: number[]) => TrajectorySignal;
export declare const signal_descriptors: <Manifest extends {
    sample_shape: number[];
    unit?: string;
}>(manifest: Record<string, Manifest>, sample_count_of: (signal: Manifest) => number, frame_aligned_of: (signal: Manifest) => boolean) => Record<string, TrajectorySignalDescriptor>;
export declare const resolve_stream_channels: (format: string, options: PositionStreamOptions, n_frames: number, channels: {
    is_vector: (key: string) => boolean;
    is_signal: (key: string) => boolean;
    values_per_frame: (n_vectors: number) => number;
    signal_values: (key: string) => number;
}) => {
    frame_stride: number;
    vector_keys: string[];
    signal_keys: string[];
    frame_indices: number[];
};
export declare const read_numeric_samples: (dataset: Dataset, path: string, sample_count: number, sample_size: number, stride?: number, ranges_for_samples?: (start: number, end: number, stride: number) => Parameters<Dataset[`slice`]>[0]) => Float64Array;
export declare const scale_matrix: (matrix: Matrix3x3, scale: number) => Matrix3x3;
export declare function with_h5_file<T>(buffer: ArrayBuffer, filename: string | undefined, callback: (h5_file: h5wasm.File) => T | Promise<T>): Promise<T>;
export declare function open_h5_source(source: ArrayBuffer | Blob, filename?: string): Promise<{
    h5_file: h5wasm.File;
    close: () => void;
}>;