commit | 08686634b92fa20413af2e2f911ee38a5f0d1806 | [log] [tgz] |
---|---|---|
author | Alex Crichton <alex@alexcrichton.com> | Sun Oct 30 19:21:59 2016 -0700 |
committer | GitHub <noreply@github.com> | Sun Oct 30 19:21:59 2016 -0700 |
tree | 0d13034e3f289c33f0646a74f2506b5b12aca7c5 | |
parent | 26b3203e55a0c4c07178ed833314608ff64b1bb4 [diff] | |
parent | fd5b806261bd9560b8b1f6cf27cfdf9dc038f448 [diff] |
Merge pull request #122 from worr/master Use arc4random(3) on OpenBSD and NetBSD
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>())