rdst 0.20.14

A flexible parallel unstable radix sort that supports sorting by any arbitrarily defined sequence of bytes.
Documentation 
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use crate::utils::test_utils::{gen_inputs, NumericTest};
use criterion::{AxisScale, BatchSize, BenchmarkId, Criterion, PlotConfiguration, Throughput};
use std::time::Duration;

pub fn gen_bench_input_set<T>(shift: T) -> Vec<Vec<T>>
where
    T: NumericTest<T>,
{
    let n = 200_000_000;
    let half = n / 2;
    let inputs = gen_inputs(n, shift);

    // Middle values are used for the case where shift is provided
    let mut out = vec![
        inputs[(half - 2_500)..(half + 2_500)].to_vec(),
        inputs[(half - 5_000)..(half + 5_000)].to_vec(),
        inputs[(half - 25_000)..(half + 25_000)].to_vec(),
        inputs[(half - 50_000)..(half + 50_000)].to_vec(),
        inputs[(half - 100_000)..(half + 100_000)].to_vec(),
        inputs[(half - 150_000)..(half + 150_000)].to_vec(),
        inputs[(half - 250_000)..(half + 250_000)].to_vec(),
        inputs[(half - 500_000)..(half + 500_000)].to_vec(),
        inputs[(half - 1_000_000)..(half + 1_000_000)].to_vec(),
        inputs[(half - 2_500_000)..(half + 2_500_000)].to_vec(),
        inputs[(half - 5_000_000)..(half + 5_000_000)].to_vec(),
        inputs[(half - 25_000_000)..(half + 25_000_000)].to_vec(),
        inputs[(half - 50_000_000)..(half + 50_000_000)].to_vec(),
        inputs,
    ];

    out.reverse();

    out
}

pub fn gen_bench_exponential_input_set<T>(shift: T) -> Vec<Vec<T>>
where
    T: NumericTest<T>,
{
    let n = 200_000_000;
    let inputs = gen_inputs(n, shift);
    let mut len = inputs.len();
    let mut out = Vec::new();

    loop {
        let start = (inputs.len() - len) / 2;
        let end = start + len;

        out.push(inputs[start..end].to_vec());

        len = len / 2;
        if len == 0 {
            break;
        }
    }

    out
}

pub fn bench_common<T>(
    c: &mut Criterion,
    shift: T,
    group: &str,
    tests: Vec<(&str, Box<dyn Fn(Vec<T>)>)>,
) where
    T: NumericTest<T>,
{
    let input_sets = gen_bench_input_set(shift);

    let mut group = c.benchmark_group(group);
    group.sample_size(10);
    group.measurement_time(Duration::from_secs(5));
    group.warm_up_time(Duration::from_secs(1));
    group.plot_config(PlotConfiguration::default().summary_scale(AxisScale::Logarithmic));

    for set in input_sets.iter() {
        let l = set.len();
        group.throughput(Throughput::Elements(l as u64));

        for t in tests.iter() {
            group.bench_with_input(BenchmarkId::new((*t).0, l), set, |bench, set| {
                bench.iter_batched(|| set.clone(), &*t.1, BatchSize::SmallInput);
            });
        }
    }

    group.finish();
}

pub fn bench_medley<T>(
    c: &mut Criterion,
    group: &str,
    tests: Vec<(&str, Box<dyn Fn(Vec<T>)>)>,
    shift: T,
) where
    T: NumericTest<T> + Clone,
{
    let input_sets = gen_bench_exponential_input_set(shift);
    let len: u64 = input_sets.iter().map(|s| s.len() as u64).sum();

    let mut group = c.benchmark_group(group);
    group.sample_size(10);
    group.measurement_time(Duration::from_secs(3));
    group.warm_up_time(Duration::from_secs(1));
    group.throughput(Throughput::Elements(len));

    for t in tests.iter() {
        group.bench_with_input(BenchmarkId::new((*t).0, len), &0u32, |bench, _set| {
            bench.iter_batched(
                || input_sets.clone(),
                |input| {
                    for set in input {
                        (*t).1(set);
                    }
                },
                BatchSize::SmallInput,
            );
        });
    }

    group.finish();
}

pub fn bench_single<T>(
    c: &mut Criterion,
    group: &str,
    tests: Vec<(&str, Box<dyn Fn(Vec<T>)>)>,
    shift: T,
    items: usize,
) where
    T: NumericTest<T> + Clone,
{
    let input = gen_inputs(items, shift);

    let mut group = c.benchmark_group(group);
    group.sample_size(10);
    group.measurement_time(Duration::from_secs(30));
    group.warm_up_time(Duration::from_secs(5));
    group.throughput(Throughput::Elements(input.len() as u64));

    for t in tests.iter() {
        group.bench_with_input(
            BenchmarkId::new((*t).0, input.len()),
            &0u32,
            |bench, _set| {
                bench.iter_batched(
                    || input.clone(),
                    |input| {
                        (*t).1(input);
                    },
                    BatchSize::SmallInput,
                );
            },
        );
    }

    group.finish();
}