Crate randomkit

Nonuniform pseudorandom number generation

This library provides a suite of nonuniform random number generators via bindings to the Numpy fork of RandomKit. It is approximately equivalent to Numpy's numpy.random module. The API is loosely based on that of the rand crate.

This library is not suitable for cryptography.

Usage

Add this to your Cargo.toml:

[dependencies]
randomkit = "0.1"

and this to your crate root:

extern crate randomkit;

Examples

Standard normal distribution

Sample 1000 numbers from the standard normal distribution (Gauss distribution) with mean 0 and standard deviation 1.

extern crate randomkit;

use randomkit::{Rng, Sample};
use randomkit::dist::Gauss;

fn main() {
    let mut rng = Rng::new().unwrap();
    for _ in 0..1000 {
        println!("{}", Gauss.sample(&mut rng));
    }
}

Normal distribution

Sample 1000 numbers from a normal distribution with mean 10 and standard deviation 5.

extern crate randomkit;

use randomkit::{Rng, Sample};
use randomkit::dist::Normal;

fn main() {
    let mut rng = Rng::from_seed(1);
    let normal = Normal::new(10.0, 5.0).unwrap();
    for _ in 0..1000 {
        println!("{}", normal.sample(&mut rng));
    }
}

Modules

dist	Various distributions that can be sampled from.

Structs

Rng

Traits

Sample