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.
use rand::Rng; fn main() { let mut rng = rand::thread_rng(); // Note: we use a raw identifier to stay compatible with Rust edition 2024. // `gen` is a keyword in the 2024 edition. let n1: u8 = rng.r#gen(); let n2: u16 = rng.r#gen(); println!("Random u8: {}", n1); println!("Random u16: {}", n2); println!("Random u32: {}", rng.r#gen::<u32>()); println!("Random i32: {}", rng.r#gen::<i32>()); println!("Random float: {}", rng.r#gen::<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::thread_rng(); println!("Integer: {}", rng.gen_range(0..10)); println!("Float: {}", rng.gen_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::distributions::Distribution; use rand::distributions::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 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::thread_rng; use rand_distr::Distribution; use rand_distr::Normal; use rand_distr::NormalError; fn main() -> Result<(), NormalError> { let mut rng = thread_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::distributions::Distribution; use rand::distributions::Standard; #[derive(Debug)] #[allow(dead_code)] 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.r#gen(); Point { x: rand_x, y: rand_y, } } } fn main() { let mut rng = rand::thread_rng(); let rand_tuple = rng.r#gen::<(i32, bool, f64)>(); let rand_point: Point = rng.r#gen(); println!("Random tuple: {:?}", rand_tuple); 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::distributions::Alphanumeric; use rand::thread_rng; 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 rand::Rng::gen_range
.
fn main() { use rand::Rng; 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); }
fastrand
A simple and fast random number generator. No dependencies, non-cryptographically secure random numbers, lower complexity than rand