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103 lines
3.4 KiB
Markdown
103 lines
3.4 KiB
Markdown
# strsim-rs
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[![Crates.io](https://img.shields.io/crates/v/strsim.svg)](https://crates.io/crates/strsim)
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[![Crates.io](https://img.shields.io/crates/l/strsim.svg?maxAge=2592000)](https://github.com/dguo/strsim-rs/blob/master/LICENSE)
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[![CI status](https://github.com/dguo/strsim-rs/workflows/CI/badge.svg)](https://github.com/dguo/strsim-rs/actions?query=branch%3Amaster)
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[![unsafe forbidden](https://img.shields.io/badge/unsafe-forbidden-success.svg)](https://github.com/rust-secure-code/safety-dance/)
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[Rust](https://www.rust-lang.org) implementations of [string similarity metrics]:
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- [Hamming]
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- [Levenshtein] - distance & normalized
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- [Optimal string alignment]
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- [Damerau-Levenshtein] - distance & normalized
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- [Jaro and Jaro-Winkler] - this implementation of Jaro-Winkler does not limit the common prefix length
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- [Sørensen-Dice]
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The normalized versions return values between `0.0` and `1.0`, where `1.0` means
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an exact match.
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There are also generic versions of the functions for non-string inputs.
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## Installation
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`strsim` is available on [crates.io](https://crates.io/crates/strsim). Add it to
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your `Cargo.toml`:
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```toml
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[dependencies]
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strsim = "0.10.0"
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```
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## Usage
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Go to [Docs.rs](https://docs.rs/strsim/) for the full documentation. You can
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also clone the repo, and run `$ cargo doc --open`.
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### Examples
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```rust
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extern crate strsim;
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use strsim::{hamming, levenshtein, normalized_levenshtein, osa_distance,
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damerau_levenshtein, normalized_damerau_levenshtein, jaro,
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jaro_winkler, sorensen_dice};
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fn main() {
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match hamming("hamming", "hammers") {
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Ok(distance) => assert_eq!(3, distance),
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Err(why) => panic!("{:?}", why)
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}
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assert_eq!(levenshtein("kitten", "sitting"), 3);
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assert!((normalized_levenshtein("kitten", "sitting") - 0.571).abs() < 0.001);
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assert_eq!(osa_distance("ac", "cba"), 3);
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assert_eq!(damerau_levenshtein("ac", "cba"), 2);
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assert!((normalized_damerau_levenshtein("levenshtein", "löwenbräu") - 0.272).abs() <
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0.001);
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assert!((jaro("Friedrich Nietzsche", "Jean-Paul Sartre") - 0.392).abs() <
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0.001);
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assert!((jaro_winkler("cheeseburger", "cheese fries") - 0.911).abs() <
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0.001);
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assert_eq!(sorensen_dice("web applications", "applications of the web"),
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0.7878787878787878);
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}
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```
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Using the generic versions of the functions:
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```rust
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extern crate strsim;
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use strsim::generic_levenshtein;
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fn main() {
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assert_eq!(2, generic_levenshtein(&[1, 2, 3], &[0, 2, 5]));
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}
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```
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## Contributing
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If you don't want to install Rust itself, you can run `$ ./dev` for a
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development CLI if you have [Docker] installed.
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Benchmarks require a Nightly toolchain. Run `$ cargo +nightly bench`.
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## License
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[MIT](https://github.com/dguo/strsim-rs/blob/master/LICENSE)
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[string similarity metrics]:http://en.wikipedia.org/wiki/String_metric
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[Damerau-Levenshtein]:http://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
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[Jaro and Jaro-Winkler]:http://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
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[Levenshtein]:http://en.wikipedia.org/wiki/Levenshtein_distance
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[Hamming]:http://en.wikipedia.org/wiki/Hamming_distance
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[Optimal string alignment]:https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance#Optimal_string_alignment_distance
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[Sørensen-Dice]:http://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient
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[Docker]:https://docs.docker.com/engine/installation/
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