/**
 * An interface for a noise generator that can apply noise to different types of data.
 */
interface NoiseGenerator {
    /**
     * Apply noise to a floating point number.
     * @param data - The input number to apply noise to.
     * @returns The result of applying noise to the input number.
     */
    apply_on_float: (data: number) => number;
    /**
     * Apply noise to a BigInt.
     * @param data - The input BigInt to apply noise to.
     * @returns The result of applying noise to the input BigInt.
     */
    apply_on_int: (data: bigint) => bigint;
    /**
     * Apply noise to a date string.
     * @param data - The input date string to apply noise to.
     * @returns The result of applying noise to the input date string.
     */
    apply_on_date: (data: string) => string;
    /**
     * Apply correlated noise to an array of floating point numbers.
     * @param data - The input array of floating point numbers to apply correlated noise to.
     * @param factors - The array of correlation factors to use.
     * @returns The result of applying correlated noise to the input array of floating point numbers.
     */
    apply_correlated_noise_on_floats: (data: Float64Array, factors: Float64Array) => Float64Array;
    /**
     * Apply correlated noise to an array of BigInts.
     * @param data - The input array of BigInts to apply correlated noise to.
     * @param factors - The array of correlation factors to use.
     * @returns The result of applying correlated noise to the input array of BigInts.
     */
    apply_correlated_noise_on_ints: (data: BigInt64Array, factors: Float64Array) => BigInt64Array;
    /**
     * Apply correlated noise to an array of date strings.
     * @param data - The input array of date strings to apply correlated noise to.
     * @param factors - The array of correlation factors to use.
     * @returns The result of applying correlated noise to the input array of date strings.
     */
    apply_correlated_noise_on_dates: (data: string, factors: Float64Array) => string;
}
/**
 * A class representing a noise generator.
 */
declare class Noise {
    /**
     * The underlying noise generator.
     */
    protected readonly _noise: NoiseGenerator;
    /**
     * Creates a new instance of `Noise`.
     * @param noise - The noise generator to use.
     */
    constructor(noise: NoiseGenerator);
    /**
     * Applies noise to the input data.
     * @param data - The input data to apply noise to.
     * @returns The input data with noise applied.
     * @throws An error if the type of `data` is not supported.
     */
    apply(data: number | bigint | string): number | bigint | string;
    /**
     * Applies correlated noise to the input data.
     * @param data - The input data to apply noise to.
     * @param factors - The factors to use for applying noise.
     * @returns The input data with noise applied.
     * @throws An error if the type of `data` is not supported.
     */
    apply_correlated(data: Iterable<number> | Iterable<bigint> | Iterable<string>, factors?: Iterable<number>): Iterable<number> | Iterable<bigint> | Iterable<string>;
}
/**
 * A class representing a noise generator with parameters.
 * @augments Noise
 */
export declare class NoiseWithParameters extends Noise {
    /**
     * Creates a new instance of `NoiseWithParameters`.
     * @param methodName - the noise distribution to use ("Gaussian" or "Laplace")
     * @param mean - The mean value for generating noise.
     * @param stdDev - The standard deviation value for generating noise.
     */
    constructor(methodName: string, mean: number, stdDev: number);
}
/**
 * A class representing a noise generator with bounds.
 * @augments Noise
 */
export declare class NoiseWithBounds extends Noise {
    /**
     * Creates a new instance of `NoiseWithBounds`.
     * @param methodName - the noise distribution to use ("Gaussian", "Laplace" or "Uniform")
     * @param minBound - The minimum bound for generating noise.
     * @param maxBound - The maximum bound for generating noise.
     */
    constructor(methodName: string, minBound: number, maxBound: number);
}
export {};
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