/**
 * Pure-JS parser for NumPy .npy files.
 *
 * We avoid pulling in any numpy / pyodide dependency — the .npy spec is small
 * and stable enough that a hand-written reader is the most predictable choice
 * for a browser preview surface.
 *
 * Spec ref: https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html
 */
export type TypedArrayCtor = Float32ArrayConstructor | Float64ArrayConstructor | Int8ArrayConstructor | Uint8ArrayConstructor | Int16ArrayConstructor | Uint16ArrayConstructor | Int32ArrayConstructor | Uint32ArrayConstructor | BigInt64ArrayConstructor | BigUint64ArrayConstructor;
export interface NpyHeader {
    descr: string;
    fortranOrder: boolean;
    shape: number[];
    dataOffset: number;
    itemSize: number;
    typedArrayCtor: TypedArrayCtor | null;
    isLittleEndian: boolean;
}
export declare class NpyParseError extends Error {
    constructor(message: string);
}
export declare function npyDtypeMap(descr: string): {
    itemSize: number;
    typedArrayCtor: TypedArrayCtor | null;
    isLittleEndian: boolean;
    humanLabel: string;
};
export declare function parseNpyHeader(buf: ArrayBuffer): NpyHeader;
export declare function decodeNpyData(buf: ArrayBuffer, header: NpyHeader, maxElements: number): {
    values: number[] | bigint[];
    total: number;
    truncated: boolean;
};
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