#![cfg_attr(feature = "cargo-clippy", allow(clippy::float_cmp, map_clone))] use bencher::{Bencher, benchmark_group, benchmark_main}; /// Create a random vector by sampling from a normal distribution. fn initialize_vec() -> Vec { use rand_distr::{Normal, Distribution}; use rand::SeedableRng; let normal = Normal::new(2.0, 3.0).unwrap(); let n = 1_000_000; let mut values = Vec::with_capacity(n); let mut rng = rand_xoshiro::Xoshiro256StarStar::from_seed( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]); for _ in 0..n { values.push(normal.sample(&mut rng)); } values } fn bench_kurtosis(b: &mut Bencher) { let values = initialize_vec(); b.iter(|| { let m: average::Kurtosis = values.iter().map(|x| *x).collect(); m }); } fn bench_moments(b: &mut Bencher) { let values = initialize_vec(); b.iter(|| { let m: average::Moments4 = values.iter().map(|x| *x).collect(); m }); } benchmark_group!(benches, bench_kurtosis, bench_moments); benchmark_main!(benches);