1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
|
# strsim-rs
[](https://crates.io/crates/strsim)
[](https://github.com/dguo/strsim-rs/blob/master/LICENSE)
[](https://github.com/dguo/strsim-rs/actions?query=branch%3Amaster)
[](https://github.com/rust-secure-code/safety-dance/)
[Rust](https://www.rust-lang.org) implementations of [string similarity metrics]:
- [Hamming]
- [Levenshtein] - distance & normalized
- [Optimal string alignment]
- [Damerau-Levenshtein] - distance & normalized
- [Jaro and Jaro-Winkler] - this implementation of Jaro-Winkler does not limit the common prefix length
- [Sørensen-Dice]
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.
## Installation
`strsim` is available on [crates.io](https://crates.io/crates/strsim). Add it to
your `Cargo.toml`:
```toml
[dependencies]
strsim = "0.10.0"
```
## Usage
Go to [Docs.rs](https://docs.rs/strsim/) for the full documentation. You can
also clone the repo, and run `$ cargo doc --open`.
### Examples
```rust
extern crate strsim;
use strsim::{hamming, levenshtein, normalized_levenshtein, osa_distance,
damerau_levenshtein, normalized_damerau_levenshtein, jaro,
jaro_winkler, sorensen_dice};
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);
assert_eq!(sorensen_dice("web applications", "applications of the web"),
0.7878787878787878);
}
```
Using the generic versions of the functions:
```rust
extern crate strsim;
use strsim::generic_levenshtein;
fn main() {
assert_eq!(2, generic_levenshtein(&[1, 2, 3], &[0, 2, 5]));
}
```
## Contributing
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`.
## License
[MIT](https://github.com/dguo/strsim-rs/blob/master/LICENSE)
[string similarity metrics]:http://en.wikipedia.org/wiki/String_metric
[Damerau-Levenshtein]:http://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
[Jaro and Jaro-Winkler]:http://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
[Levenshtein]:http://en.wikipedia.org/wiki/Levenshtein_distance
[Hamming]:http://en.wikipedia.org/wiki/Hamming_distance
[Optimal string alignment]:https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance#Optimal_string_alignment_distance
[Sørensen-Dice]:http://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient
[Docker]:https://docs.docker.com/engine/installation/
|
