commit | 8fbf93f75ad2f6a1c336308a54d947d296f84e8a | [log] [tgz] |
---|---|---|
author | Alex Crichton <alex@alexcrichton.com> | Sat Jan 09 09:58:40 2016 -0800 |
committer | Alex Crichton <alex@alexcrichton.com> | Sat Jan 09 09:58:40 2016 -0800 |
tree | d158982637d04cec7b44d5d5c899082a9cc1d7ad | |
parent | b527969748732e4e2bc4cbdbafe477ae0724110f [diff] | |
parent | 59e9d990ff2f179043c0f1807f2c9bd65924d529 [diff] |
Merge pull request #92 from numerodix/master add type annotations (fixes build on 1.7.0-nightly (d5e229057 2016-01…
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>())