# Brunch [![docs.rs](https://img.shields.io/docsrs/brunch.svg?style=flat-square&label=docs.rs)](https://docs.rs/brunch/) [![changelog](https://img.shields.io/crates/v/brunch.svg?style=flat-square&label=changelog&color=9b59b6)](https://github.com/Blobfolio/brunch/blob/master/CHANGELOG.md)
[![crates.io](https://img.shields.io/crates/v/brunch.svg?style=flat-square&label=crates.io)](https://crates.io/crates/brunch) [![ci](https://img.shields.io/github/actions/workflow/status/Blobfolio/brunch/ci.yaml?style=flat-square&label=ci)](https://github.com/Blobfolio/brunch/actions) [![deps.rs](https://deps.rs/repo/github/blobfolio/brunch/status.svg?style=flat-square&label=deps.rs)](https://deps.rs/repo/github/blobfolio/brunch)
[![license](https://img.shields.io/badge/license-wtfpl-ff1493?style=flat-square)](https://en.wikipedia.org/wiki/WTFPL) [![contributions welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square&label=contributions)](https://github.com/Blobfolio/brunch/issues) `Brunch` is a very simple Rust micro-benchmark runner inspired by [`easybench`](https://crates.io/crates/easybench). It has roughly a million times fewer dependencies than [`criterion`](https://crates.io/crates/criterion), does not require nightly, and maintains a (single) "last run" state for each benchmark, allowing it to show relative changes from run-to-run. (The formatting is also quite pretty.) As with all Rust benchmarking, there are a lot of caveats, and results might be artificially fast or slow. For best results: * Build optimized; * Collect lots of samples; * Repeat identical runs to get a feel for the natural variation; `Brunch` cannot measure time below the level of a nanosecond, so if you're trying to benchmark methods that are _really_ fast, you may need to wrap them in a method that runs through several iterations at once. For example: ```rust use brunch::Bench; ///# Generate Strings to Test. fn string_seeds() -> Vec { (0..10_000_usize).into_iter() .map(|i| "x".repeat(i)) .collect() } ///# Generate Strings to Test. fn byte_seeds() -> Vec> { (0..10_000_usize).into_iter() .map(|i| "x".repeat(i).into_bytes()) .collect() } brunch::benches!( Bench::new("String::len(_)") .run_seeded_with(string_seeds, |vals| { let mut len: usize = 0; for v in vals { len += v.len(); } len }), Bench::new("Vec::len(_)") .run_seeded_with(byte_seeds, |vals| { let mut len: usize = 0; for v in vals { len += v.len(); } len }), ); ``` ## Installation Add `brunch` to your `dev-dependencies` in `Cargo.toml`, like: ```yaml [dev-dependencies] brunch = "0.6.*" ``` Benchmarks should also be defined in `Cargo.toml`. Just be sure to set `harness = false` for each: ```yaml [[bench]] name = "encode" harness = false ``` The following optional environmental variables are supported: | Variable | Value | Description | Default | | -------- | ----- | ----------- | ------- | | `NO_BRUNCH_HISTORY` | `1` | Disable run-to-run history. | | | `BRUNCH_HISTORY` | Path to history file. | Load/save run-to-run history from this specific path. | `std::env::temp_dir()/__brunch.last` | ## Usage The heart of `Brunch` is the `Bench` struct, which defines a single benchmark. There isn't much configuration required, but each `Bench` has the following: | Data | Description | Default | | ---- | ----------- | ------- | | Name | A unique identifier. This is arbitrary, but works best as a string representation of the method itself, like `foo::bar(10)` | | | Samples | The number of samples to collect. | 2500 | | Timeout | A cutoff time to keep it from running forever. | 10 seconds | | Method | A method to run over and over again! | | The struct uses builder-style methods to allow everything to be set in a single chain. You always need to start with `Bench::new` and end with one of the runner methods — `Bench::run`, `Bench::run_seeded`, or `Bench::run_seeded_with`. If you want to change the sample or timeout limits, you can add `Bench::with_samples` or `Bench::with_timeout` in between. There is also a special `Bench::spacer` method that can be used to inject a linebreak into the results. See below for an example. ### Examples The `benches!` macro is the easiest way to run `Brunch` benchmarks. Simply pass a comma-separated list of all the `Bench` objects you want to run, and it will handle the setup, running, tabulation, and give you a nice summary at the end. By default, this macro will generate the `main()` entrypoint too, but you can suppress this by adding "inline:" as the first argument. Anyhoo, the default usage would look something like the following: ```rust use brunch::{Bench, benches}; // Example benchmark adding 2+2. fn callback() -> Option { 2_usize.checked_add(2) } // Example benchmark multiplying 2x2. fn callback2() -> Option { 2_usize.checked_mul(2) } // Let the macro handle everything for you. benches!( Bench::new("usize::checked_add(2)") .run(callback), Bench::new("usize::checked_mul(2)") .run(callback2), ); ``` When declaring your own main entrypoint, you need to add "inline:" as the first argument. The list of `Bench` instances follow as usual after that. ```rust use brunch::{Bench, benches}; /// # Custom Main. fn main() { // A typical use case for the "inline" variant would be to declare // an owned variable for a benchmark that needs to return a reference // (to e.g. keep Rust from complaining about lifetimes). let v = vec![0_u8, 1, 2, 3, 4, 5]; // The macro call goes here! benches!( inline: Bench::new("vec::as_slice()").run(|| v.as_slice()), ); // You can also do other stuff afterwards if you want. eprintln!("Done!"); } ``` For even more control over the flow, skip the macro and just use `Benches` directly. ## Interpreting Results If you run the example benchmark for this crate, you should see a summary like the following: ```text Method Mean Change Samples ------------------------------------------------------------ fibonacci_recursive(30) 2.22 ms +1.02% 2,408/2,500 fibonacci_loop(30) 56.17 ns --- 2,499/2,500 ``` The _Method_ column speaks for itself, but the numbers deserve a little explanation: | Column | Description | | ------ | ----------- | | Mean | The adjusted, average execution time for a _single_ run, scaled to the most appropriate time unit to keep the output tidy. | | Change | The relative difference between this run and the last run, if more than two standard deviations. | | Samples | The number of valid/total samples, the difference being outliers (5th and 95th quantiles) excluded from consideration. | ## License See also: [CREDITS.md](CREDITS.md) Copyright © 2024 [Blobfolio, LLC](https://blobfolio.com) <hello@blobfolio.com> This work is free. You can redistribute it and/or modify it under the terms of the Do What The Fuck You Want To Public License, Version 2. DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE Version 2, December 2004 Copyright (C) 2004 Sam Hocevar Everyone is permitted to copy and distribute verbatim or modified copies of this license document, and changing it is allowed as long as the name is changed. DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. You just DO WHAT THE FUCK YOU WANT TO.