Generate Random Values
Add these crates to your own project:
cargo add rand rand_distr
Generate random numbers
Generates random numbers with help of random-number
generator rand::Rng
obtained via rand::thread_rng
. Each thread has an
initialized generator. Integers are uniformly distributed over the range of the
type, and floating point numbers are uniformly distributed from 0 up to but not
including 1.
use rand::Rng; fn main() { let mut rng = rand::thread_rng(); let n1: u8 = rng.gen(); let n2: u16 = rng.gen(); println!("Random u8: {n1}"); println!("Random u16: {n2}"); println!("Random u32: {}", rng.gen::<u32>()); println!("Random i32: {}", rng.gen::<i32>()); println!("Random float: {}", rng.gen::<f64>()); }
Generate random numbers within a range
Generates a random value within half-open [0, 10)
range (not including 10
) with Rng::gen_range
.
use rand::Rng; fn main() { let mut rng = rand::thread_rng(); println!("Integer: {}", rng.gen_range(0..10)); println!("Float: {}", rng.gen_range(0.0..10.0)); }
Uniform
can obtain values with uniform distribution.
This has the same effect, but may be faster when repeatedly generating numbers
in the same range.
use rand::distributions::{Distribution, Uniform}; fn main() { let mut rng = rand::thread_rng(); let die = Uniform::from(1..7); loop { let throw = die.sample(&mut rng); println!("Roll the die: {throw}"); if throw == 6 { break; } } }
Generate random numbers with given distribution
By default, random numbers in the rand
crate have
uniform distribution. The rand_distr
crate provides
other kinds of distributions. To use them, you instantiate
a distribution, then sample from that distribution using
Distribution::sample
with help of a random-number
generator rand::Rng
.
The distributions available are documented here.
An example using the Normal
distribution is shown below.
use rand_distr::{Distribution, Normal, NormalError}; use rand::thread_rng; fn main() -> Result<(), NormalError> { let mut rng = thread_rng(); let normal = Normal::new(2.0, 3.0)?; let v = normal.sample(&mut rng); println!("{v} is from a N(2, 9) distribution"); Ok(()) }
Generate random values of a custom type
Randomly generates a tuple (i32, bool, f64)
and variable of user defined type Point
.
Implements the Distribution
trait on type Point for the Standard
type in order to allow random generation.
use rand::Rng; use rand::distributions::{Distribution, Standard}; #[derive(Debug)] struct Point { x: i32, y: i32, } impl Distribution<Point> for Standard { fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Point { let (rand_x, rand_y) = rng.gen(); Point { x: rand_x, y: rand_y, } } } fn main() { let mut rng = rand::thread_rng(); let rand_tuple = rng.gen::<(i32, bool, f64)>(); println!("Random tuple: {rand_tuple:?}"); let rand_point: Point = rng.gen(); println!("Random Point: ({}, {})", rand_point.x, rand_point.y); }
Create random passwords from a set of alphanumeric characters
Randomly generates a string of given length ASCII characters in the range A-Z, a-z, 0-9
, with Alphanumeric
sample.
use rand::{thread_rng, Rng}; use rand::distributions::Alphanumeric; fn main() { let rand_string: String = thread_rng() .sample_iter(&Alphanumeric) .take(30) .map(char::from) .collect(); println!("{rand_string}"); }
Create random passwords from a set of user-defined characters
Randomly generates a string of given length ASCII characters with custom
user-defined bytestring, with gen_range
.
use rand::Rng; fn main() { const CHARSET: &[u8] = b"ABCDEFGHIJKLMNOPQRSTUVWXYZ\ abcdefghijklmnopqrstuvwxyz\ 0123456789)(*&^%$#@!~"; const PASSWORD_LEN: usize = 30; let mut rng = rand::thread_rng(); let password: String = (0..PASSWORD_LEN) .map(|_| { let idx = rng.gen_range(0..CHARSET.len()); CHARSET[idx] as char }) .collect(); println!("{password:?}"); }