time-to-botec/js/node_modules/@stdlib/random/base/minstd-shuffle/docs/repl.txt

{{alias}}()
    Returns a pseudorandom integer on the interval `[1, 2147483646]`.

    This pseudorandom number generator (PRNG) is a linear congruential
    pseudorandom number generator (LCG) whose output is shuffled using the Bays-
    Durham algorithm. The shuffle step considerably strengthens the "randomness
    quality" of a simple LCG's output.

    The generator has a period of approximately `2.1e9`.

    An LCG is fast and uses little memory. On the other hand, because the
    generator is a simple LCG, the generator has recognized shortcomings. By
    today's PRNG standards, the generator's period is relatively short. In
    general, this generator is unsuitable for Monte Carlo simulations and
    cryptographic applications.

    Returns
    -------
    r: integer
        Pseudorandom number.

    Examples
    --------
    > var r = {{alias}}();


{{alias}}.normalized()
    Returns a pseudorandom number on the interval `[0,1)`.

    Returns
    -------
    r: number
        Pseudorandom number.

    Examples
    --------
    > var r = {{alias}}.normalized();


{{alias}}.factory( [options] )
    Returns a linear congruential pseudorandom number generator (LCG) whose
    output is shuffled.

    Parameters
    ----------
    options: Object (optional)
        Options.

    options.seed: integer|ArrayLikeObject<integer> (optional)
        Pseudorandom number generator seed. The seed may be either a positive
        signed 32-bit integer on the interval `[1, 2147483646]` or, for
        arbitrary length seeds, an array-like object containing signed 32-bit
        integers.

    options.state: Int32Array (optional)
        Pseudorandom number generator state. If provided, the `seed` option is
        ignored.

    options.copy: boolean (optional)
        Boolean indicating whether to copy a provided pseudorandom number
        generator state. Setting this option to `false` allows sharing state
        between two or more pseudorandom number generators. Setting this option
        to `true` ensures that a returned generator has exclusive control over
        its internal state. Default: true.

    Returns
    -------
    rand: Function
        Pseudorandom number generator (PRNG).

    Examples
    --------
    // Basic usage:
    > var rand = {{alias}}.factory();
    > r = rand();
    > r = rand();

    // Provide a seed:
    > rand = {{alias}}.factory( { 'seed': 1234 } );
    > r = rand()
    1421600654


{{alias}}.NAME
    Generator name.

    Examples
    --------
    > var str = {{alias}}.NAME
    'minstd-shuffle'


{{alias}}.MIN
    Minimum possible value.

    Examples
    --------
    > var v = {{alias}}.MIN
    1


{{alias}}.MAX
    Maximum possible value.

    Examples
    --------
    > var v = {{alias}}.MAX
    2147483646


{{alias}}.seed
    Pseudorandom number generator seed.

    Examples
    --------
    > var seed = {{alias}}.seed;


{{alias}}.seedLength
    Length of generator seed.

    Examples
    --------
    > var len = {{alias}}.seedLength;


{{alias}}.state
    Generator state.

    Examples
    --------
    > var r = {{alias}}()
    <number>
    > r = {{alias}}()
    <number>
    > r = {{alias}}()
    <number>

    // Get a copy of the current state:
    > var state = {{alias}}.state
    <Int32Array>

    > r = {{alias}}()
    <number>
    > r = {{alias}}()
    <number>

    // Set the state:
    > {{alias}}.state = state;

    // Replay the last two pseudorandom numbers:
    > r = {{alias}}()
    <number>
    > r = {{alias}}()
    <number>


{{alias}}.stateLength
    Length of generator state.

    Examples
    --------
    > var len = {{alias}}.stateLength;


{{alias}}.byteLength
    Size (in bytes) of generator state.

    Examples
    --------
    > var sz = {{alias}}.byteLength;


{{alias}}.toJSON()
    Serializes the pseudorandom number generator as a JSON object.

    Returns
    -------
    out: Object
        JSON representation.

    Examples
    --------
    > var o = {{alias}}.toJSON()
    { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }

    See Also
    --------