commit | e6da52327ff219343e28e545844bd9ecffd43df4 | [log] [tgz] |
---|---|---|
author | Danny Guo <dannyguo91@gmail.com> | Sun May 05 19:52:54 2019 |
committer | Danny Guo <dannyguo91@gmail.com> | Sun May 05 19:52:54 2019 |
tree | af0bc303c53dcd99f10056c5d86131406c2b8fba | |
parent | 5907665163699d97467ba889cc382768a2afe466 [diff] |
Use ndarray
Rust implementations of string similarity metrics:
The normalized versions return values between 0.0
and 1.0
, where 1.0
means an exact match.
There are also generic versions of the functions for non-string inputs.
strsim
is available on crates.io. Add it to your Cargo.toml
:
[dependencies] strsim = "0.9.0"
Go to Docs.rs for the full documentation. You can also clone the repo, and run $ cargo doc --open
.
extern crate strsim; use strsim::{hamming, levenshtein, normalized_levenshtein, osa_distance, damerau_levenshtein, normalized_damerau_levenshtein, jaro, jaro_winkler}; fn main() { match hamming("hamming", "hammers") { Ok(distance) => assert_eq!(3, distance), Err(why) => panic!("{:?}", why) } assert_eq!(levenshtein("kitten", "sitting"), 3); assert!((normalized_levenshtein("kitten", "sitting") - 0.571).abs() < 0.001); assert_eq!(osa_distance("ac", "cba"), 3); assert_eq!(damerau_levenshtein("ac", "cba"), 2); assert!((normalized_damerau_levenshtein("levenshtein", "löwenbräu") - 0.272).abs() < 0.001); assert!((jaro("Friedrich Nietzsche", "Jean-Paul Sartre") - 0.392).abs() < 0.001); assert!((jaro_winkler("cheeseburger", "cheese fries") - 0.911).abs() < 0.001); }
Using the generic versions of the functions:
extern crate strsim; use strsim::generic_levenshtein; fn main() { assert_eq!(2, generic_levenshtein(&[1, 2, 3], &[0, 2, 5])); }
If you don't want to install Rust itself, you can run $ ./dev
for a development CLI if you have Docker installed.
Benchmarks require a Nightly toolchain. Run $ cargo +nightly bench
.