Generate Random Values
| fastrand
| | |
Generate random numbers
Generates random numbers with help of the random-number generator rand::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.
// In `Cargo.toml` // rand = "0.8.5" // or // rand = { version = "0.9.0-beta.3", features = [ "thread_rng" ] } fn main() { let n1: u8 = rand::random(); let n2: u16 = rand::random(); println!("Random u8: {}", n1); println!("Random u16: {}", n2); println!("Random u32: {}", rand::random::<u32>()); println!("Random i32: {}", rand::random::<i32>()); println!("Random float: {}", rand::random::<f64>()); }
Generate random numbers within a range
Generates a random value within half-open [0, 10)
range (not including 10
) with rand::Rng::gen_range
⮳ range.
use rand::Rng; fn main() { let mut rng = rand::rng(); println!("Integer: {}", rng.random_range(0..10)); println!("Float: {}", rng.random_range(0.0..10.0)); }
rand::distributions::uniform::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::distr::Distribution; use rand::distr::Uniform; fn main() { let mut rng = rand::rng(); let die = Uniform::try_from(1..7).unwrap(); loop { let throw = die.sample(&mut rng); println!("Roll the die: {}", throw); if throw == 6 { break; } } }
Generate random numbers within a 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 rand::distributions::Distribution::sample
⮳ with help of a random-number generator rand::Rng
⮳. The distributions available are documented here⮳. An example using the rand_distr::Normal
⮳ distribution is shown below.
// use rand::distr::Distribution; // use rand_distr::Normal; // use rand_distr::NormalError; // fn main() -> Result<(), NormalError> { // let mut rng = rand::rng(); // let normal = Normal::new(2.0, 3.0)?; // let v = normal.sample(&mut rng); // println!("{} is from a N(2, 9) distribution", v); // Ok(()) // }
Generate random values of a custom type
Randomly generates a tuple (i32, bool, f64)
and variable of user defined type Point
. Implements the rand::distributions::Distribution
⮳ trait on type Point for rand::distributions::Standard
⮳ trait in order to allow random generation.
use rand::Rng; use rand::distr::Distribution; use rand::distr::StandardUniform; #[derive(Debug)] #[allow(dead_code)] struct Point { x: i32, y: i32, } // Required by: // pub fn random<T>() -> T // where // StandardUniform: Distribution<T>, impl Distribution<Point> for StandardUniform { fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Point { let (x, y) = rng.random::<(i32, i32)>(); Point { x, y } } } fn main() { let mut rng = rand::rng(); let rand_tuple = rng.random::<(i32, bool, f64)>(); println!("Random tuple: {:?}", rand_tuple); let rand_point: Point = rng.random(); println!("Random Point: {:?}", rand_point); }
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 rand::distributions::Alphanumeric
⮳ sample.
use rand::Rng; use rand::distr::Alphanumeric; use rand::rng; fn main() { let rand_string: String = 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 rand::Rng::gen_range
.
#![allow(deprecated)] fn main() { const CHARSET: &[u8] = b"ABCDEFGHIJKLMNOPQRSTUVWXYZ\ abcdefghijklmnopqrstuvwxyz\ 0123456789)(*&^%$#@!~"; const PASSWORD_LEN: usize = 30; let password: String = (0..PASSWORD_LEN) .map(|_| { let idx = rand::random_range(0..CHARSET.len()); CHARSET[idx] as char }) .collect(); println!("{:?}", password); }
fastrand
A simple and fast random number generator. No dependencies, non-cryptographically secure random numbers, lower complexity than rand