commit | 9759bd37a943c9e7f871e79299e07ba7d97d05c5 | [log] [tgz] |
---|---|---|
author | Alex Crichton <alex@alexcrichton.com> | Wed Jun 14 14:02:54 2017 -0500 |
committer | GitHub <noreply@github.com> | Wed Jun 14 14:02:54 2017 -0500 |
tree | 25477a204d32bd453c6b5bd69d7a48f02ab306cf | |
parent | 258fc404c7cc753fa2a7a63e800030ccb175a5e3 [diff] | |
parent | e4bc2646513b131932341924c1dce4a5801a3adb [diff] |
Merge pull request #155 from portal-chan/master Rewrite rand_macros as proc-macro
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>())