A Rust library for random number generation.
Rand provides utilities to generate random numbers, to convert them to useful types and distributions, and some randomness-related algorithms.
The core random number generation traits of Rand live in the rand_core crate; this crate is most useful when implementing RNGs.
API reference: master branch, by release.
Add this to your Cargo.toml
:
[dependencies]
rand = "0.5"
and this to your crate root:
extern crate rand;
use rand::prelude::*;
fn main() {
// basic usage with random():
let x: u8 = random();
println!("{}", x);
let y = random::<f64>();
println!("{}", y);
if random() { // generates a boolean
println!("Heads!");
}
// normal usage needs both an RNG and a function to generate the appropriate
// type, range, distribution, etc.
let mut rng = thread_rng();
if rng.gen() { // random bool
let x: f64 = rng.gen(); // random number in range (0, 1)
println!("x is: {}", x);
let ch = rng.gen::<char>(); // Sometimes you need type annotation
println!("char is: {}", ch);
println!("Number from 0 to 9: {}", rng.gen_range(0, 10));
}
}
The Rand crate provides:
- A convenient to use default RNG,
thread_rng
: an automatically seeded, crypto-grade generator stored in thread-local memory. - Pseudo-random number generators:
StdRng
,SmallRng
,prng
module. - Functionality for seeding PRNGs: the
FromEntropy
trait, and as sources of external randomnessEntropyRng
,OsRng
andJitterRng
. - Most content from
rand_core
(re-exported): base random number generator traits and error-reporting types. - 'Distributions' producing many different types of random values:
- A
Standard
distribution for integers, floats, and derived types including tuples, arrays andOption
- Unbiased sampling from specified
Uniform
ranges. - Sampling from exponential/normal/gamma distributions.
- Sampling from binomial/poisson distributions.
gen_bool
aka Bernoulli distribution.
- A
seq
-uence related functionality:- Sampling a subset of elements.
- Randomly shuffling a list.
Version 0.5 is the latest version and contains many breaking changes. See the Upgrade Guide for guidance on updating from previous versions.
Version 0.4 was released in December 2017. It contains almost no breaking changes since the 0.3 series.
For more details, see the changelog.
The 0.5 release of Rand requires Rustc version 1.22 or greater. Rand 0.4 and 0.3 (since approx. June 2017) require Rustc version 1.15 or greater. Subsets of the Rand code may work with older Rust versions, but this is not supported.
Travis CI always has a build with a pinned version of Rustc matching the oldest supported Rust release. The current policy is that this can be updated in any Rand release if required, but the change must be noted in the changelog.
Rand is built with only the std
feature anabled by default. The following
optional features are available:
alloc
can be used instead ofstd
to provideVec
andBox
.i128_support
enables support for generatingu128
andi128
values.log
enables some logging via thelog
crate.nightly
enables all unstable features (i128_support
).serde1
enables serialization for some types, via Serde version 1.stdweb
enables support forOsRng
onwasm-unknown-unknown
viastdweb
combined withcargo-web
.
no_std
mode is activated by setting default-features = false
; this removes
functionality depending on std
:
thread_rng()
, andrandom()
are not available, as they require thread-local storage and an entropy source.OsRng
andEntropyRng
are unavailable.JitterRng
code is still present, but a nanosecond timer must be provided viaJitterRng::new_with_timer
- Since no external entropy is available, it is not possible to create
generators with fresh seeds using the
FromEntropy
trait (user must provide a seed). - Exponential, normal and gamma type distributions are unavailable since
exp
andlog
functions are not provided incore
. - The
seq
-uence module is unavailable, as it requiresVec
.
Rand is distributed under the terms of both the MIT license and the Apache License (Version 2.0).
See LICENSE-APACHE and LICENSE-MIT for details.