oarfish 0.6.5

A fast, accurate and versatile tool for long-read transcript quantification.
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use rand::distributions::{Distribution, Uniform};
use rand::Rng;

/// Get a random uniform sample of `n` numbers in the range [0,n).
/// Duplicates are explicitly allowed. The numbers are returned in
/// sorted order.
pub fn get_sample_inds<R: Rng + ?Sized>(n: usize, rng: &mut R) -> Vec<usize> {
    let dist = Uniform::new(0, n);
    let mut inds: Vec<usize> = dist.sample_iter(rng).take(n).collect();
    inds.sort_unstable();
    inds
}