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Showing content from https://github.com/Schlechtwetterfront/fuzzy-rs below:

Schlechtwetterfront/fuzzy-rs: Fuzzy matching algorithm based on Sublime Text's string search.

Fuzzy matching algorithm based on Sublime Text's string search. Iterates through characters of a search string and calculates a score.

The score is based on several factors:

• Word starts like the t in some_thing get a bonus (bonus_word_start)
• Consecutive matches get an accumulative bonus for every consecutive match (bonus_consecutive)
• Matches that also match case (T -> T instead of t -> T) in case of a case-insensitive search get a bonus (bonus_match_case)
• The distance between two matches will be multiplied with the penalty_distance penalty and subtracted from the score

The default scoring is configured to give a lot of weight to word starts. So a pattern scc will match SoccerCartoonController, not SoccerCartoonController.

With default weighting.

Basic usage:

use sublime_fuzzy::best_match;

let result = best_match("something", "some search thing");

assert!(result.is_some());

Match::continuous_matches returns an iter of consecutive matches. Based on those the input string can be formatted.

format_simple provides a simple formatting that wraps matches in tags:

use sublime_fuzzy::{best_match, format_simple};

let target = "some search thing";

let result = best_match("something", target).unwrap();

assert_eq!(
    format_simple(&result, target, "<span>", "</span>"),
    "<span>some</span> search <span>thing</span>"
);

The weighting of the different factors can be adjusted:

use sublime_fuzzy::{FuzzySearch, Scoring};

// Or pick from one of the provided `Scoring::...` methods like `emphasize_word_starts`
let scoring = Scoring {
    bonus_consecutive: 128,
    bonus_word_start: 0,
    ..Scoring::default()
};

let result = FuzzySearch::new("something", "some search thing")
    .case_sensitive()
    .score_with(&scoring)
    .best_match();

assert!(result.is_some())

Note: Any whitespace in the pattern ('something' in the examples above) will be removed.

Check out the documentation at docs.rs.

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