commit | 6fda5b2eaa4fd189984dc64f7cba3da03940d884 | [log] [tgz] |
---|---|---|
author | Alex Crichton <alex@alexcrichton.com> | Sat Mar 19 17:17:50 2016 -0700 |
committer | Alex Crichton <alex@alexcrichton.com> | Sat Mar 19 17:17:50 2016 -0700 |
tree | b71176513af6605800d914f76193e0200a5ca2da | |
parent | c6a573fb6320346b04eb1748cdd4ed84338b561d [diff] | |
parent | f78cf8896c2b36f2cb76a5c0e81bd133cfa727b4 [diff] |
Merge pull request #101 from bluss/inline-constructors Mark some distribution constructors #[inline]
A Rust library for random number generators and other randomness functionality.
Add this to your Cargo.toml
:
[dependencies] rand = "0.3"
and this to your crate root:
extern crate rand;
There is built-in support for a random number generator (RNG) associated with each thread stored in thread-local storage. This RNG can be accessed via thread_rng, or used implicitly via random. This RNG is normally randomly seeded from an operating-system source of randomness, e.g. /dev/urandom on Unix systems, and will automatically reseed itself from this source after generating 32 KiB of random data.
let tuple = rand::random::<(f64, char)>(); println!("{:?}", tuple)
use rand::Rng; let mut rng = rand::thread_rng(); if rng.gen() { // random bool println!("i32: {}, u32: {}", rng.gen::<i32>(), rng.gen::<u32>()) }
It is also possible to use other RNG types, which have a similar interface. The following uses the “ChaCha” algorithm instead of the default.
use rand::{Rng, ChaChaRng}; let mut rng = rand::ChaChaRng::new_unseeded(); println!("i32: {}, u32: {}", rng.gen::<i32>(), rng.gen::<u32>())