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oars\n\n[![CI](https://github.com/afnanenayet/oars/actions/workflows/CI.yml/badge.svg)](https://github.com/afnanenayet/oars/actions/workflows/CI.yml)\n[![crates badge](https://meritbadge.herokuapp.com/oars)](https://crates.io/crates/oars)\n[![Documentation](https://docs.rs/oars/badge.svg)](https://docs.rs/oars)\n![License](https://img.shields.io/crates/l/oars/0.3.1.svg)\n\n## Summary\n\noars is a library for constructing orthogonal arrays (OAs) with various\nparameters, with the ability to construct OAs using multiple construction\nmethods. It also provides utilities for constructing strong orthogonal arrays\nthat work with the facilities for existing OAs or constructing SOAs from\nscratch.  On top of being able to generated orthogonal arrays, this crate\nprovides utilities to verify orthogonal arrays given a set of parameters.\n\nThese orthogonal arrays are not predefined and are constructed on the fly. If\nyou want to create orthogonal arrays using predefined lookup tables, there are\nmany resources online that provide the numbers for you to use.\n\nFor more information about orthogonal arrays and their use in Monte Carlo\nsampling, check out [Chapter\n10](https://statweb.stanford.edu/~owen/mc/Ch-var-adv.pdf) of Art Owen's Monte\nCarlo book.\n\nThis library only guarantees stability against stable Rust, unless there is\nsignificant interest in supporting older versions. In such case, please let me\nknow by either filing an issue on Github or contacting me.\n\n## Development\n\nThis project only relies on the\n[ndarray](https://github.com/rust-ndarray/ndarray) crate. There are several\noptimizations that can be applied to the crate for compilation, such as `BLAS`\nacceleration. You can optionally enable `serde` support for the orthogonal\narray structs with `features = [\"serialize\"]`.\n\nThis crate was made for the stable compiler, so building is as simple as\n\n```sh\ncargo build\n# or\ncargo build --release\n```\n\nYou can also run benchmarks using `cargo bench`. This uses criterion to run\nbenchmarks, which offers robust statistics for benchmarks as well as pretty\noutput for benchmark results.\n\n### Usage\n\nYou can use this library with your Rust project via cargo. It targets the\nstable Rust compiler, so as long as you keep Rust updated, you'll probably be\ngood.\n\nI test this library on Mac/Linux with Travis, and also on my personal Mac and\nLinux machines.\n\nOf course, if you find any issues, please file an issue or send a PR. Feature\nrequests are also welcome.\n\nIf you want to enable serialization support for this library, include your\ndependency as such:\n\n```toml\n[dependencies.oars]\nversion = \"2.1\"\nfeatures = [\"serialize\", \"parallel\"] # optional features\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafnanenayet%2Foars","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fafnanenayet%2Foars","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafnanenayet%2Foars/lists"}