#plot #benchmark #complexity #profiling #performance

benchplot

Utility for benchmarking functions over various input sizes and plotting the results

2 releases

0.1.1 Nov 13, 2024
0.1.0 Nov 13, 2024

#97 in Visualization

Download history 202/week @ 2024-11-08 327/week @ 2024-11-15 36/week @ 2024-11-22

565 downloads per month

Apache-2.0 OR MIT

30KB
599 lines

github Multi-Platform Test Static Analysis

benchplot

benchplot is a utility for benchmarking functions over various input sizes and plotting the results.

Usage

use benchplot::{BenchBuilder, BenchFnArg, BenchFnNamed};
use rand::Rng;

fn main() {
    // Functions to benchmark (with names)
    let functions: Vec<BenchFnNamed<Vec<i32>, Vec<i32>>> = vec![
        (Box::new(bubble_sort), "Bubble Sort"),
        (Box::new(insertion_sort), "Insertion Sort"),
        (Box::new(merge_sort), "Merge Sort"),
    ];

    // For each size, returns an argument to pass to the functions to benchmark
    let argfunc: BenchFnArg<Vec<i32>> = Box::new(|size: usize| {
        let mut rng = rand::thread_rng();
        (0..size).map(|_| rng.gen_range(1..=1000)).collect()
    });

    // Input sizes to test. NOTE: a wider range was used for the image above.
    let sizes: Vec<usize> = (0..15).map(|k| 1 << k).collect();

    // Build a `Bench` instance
    let mut bench = BenchBuilder::new(functions, argfunc, sizes)
        .repetitions(1)
        .parallel(true)
        .assert_equal(true)
        .build()
        .unwrap();

    // Run benchmarks and plot them
    bench
        .run()
        .plot("output.svg")
        .title("Sorting Algorithms")
        .build()
        .expect("Plotting failed");
}

// Bubble Sort: O(n²)
fn bubble_sort(mut a: Vec<i32>) -> Vec<i32> {
    let mut n = a.len();
    while n > 1 {
        let mut np = 0;
        for i in 1..n {
            if a[i - 1] > a[i] {
                a.swap(i - 1, i);
                np = i;
            }
        }
        n = np;
    }
    a
}

// Insertion Sort: O(n²)
fn insertion_sort(mut a: Vec<i32>) -> Vec<i32> {
    let n = a.len();
    for i in 1..n {
        let x = a[i];
        let mut j = i;
        while j > 0 && a[j - 1] > x {
            a[j] = a[j - 1];
            j -= 1;
        }
        a[j] = x;
    }
    a
}

// Merge Sort: O(n log n)
// Based on code from https://en.wikipedia.org/wiki/Merge_sort
fn merge_sort(mut a: Vec<i32>) -> Vec<i32> {
    let len = a.len();
    let mut b = a.clone();
    top_down_split_merge(&mut a, 0, len, &mut b);
    a
}

fn top_down_split_merge(
    b: &mut [i32],
    begin: usize,
    end: usize,
    a: &mut [i32],
) {
    if end - begin <= 1 {
        return;
    }
    let middle = (end + begin) / 2;
    top_down_split_merge(a, begin, middle, b);
    top_down_split_merge(a, middle, end, b);
    top_down_merge(b, begin, middle, end, a);
}

fn top_down_merge(
    b: &mut [i32],
    begin: usize,
    middle: usize,
    end: usize,
    a: &mut [i32],
) {
    let mut i = begin;
    let mut j = middle;
    for b_k in b.iter_mut().take(end).skip(begin) {
        if i < middle && (j >= end || a[i] <= a[j]) {
            *b_k = a[i];
            i += 1;
        } else {
            *b_k = a[j];
            j += 1;
        }
    }
}

License

This project is dual-licensed under either the Apache License, Version 2.0 or the MIT License, at your option.

Contributing

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in this project by you shall be dual-licensed as above, without any additional terms or conditions.

Dependencies

~7–10MB
~170K SLoC