Crate implementing various kinds of shuffling algorithms such as Inverse Riffle Shuffle (more algorithms coming soon).
Currently, the most common way of shuffling a collection is by using
rand::shuffle, which is basically
algorithm. This is nice, but it requires that you have a good source
of random numbers in an arbitrary range.
This crate aims to provide good abstractions to shuffle collections when all you have is just a source of randomness. (but we also implement Fisher-Yates, because why not?)
Assuming that the source of the randomness is good, all of the shuffling algorithms return a permutation from a uniform distribution.
use shuffle::shuffler::Shuffler; use shuffle::irs::Irs; use rand::rngs::mock::StepRng; let mut rng = StepRng::new(2, 13); let mut irs = Irs::default(); let mut input = vec![1, 2, 3, 4, 5]; irs.shuffle(&mut input, &mut rng); assert_eq!(&input, &[4, 1, 5, 3, 2]);