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https://github.com/RGBCube/serenity
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29 lines
1.1 KiB
C++
29 lines
1.1 KiB
C++
/*
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* Copyright (c) 2021, Spencer Dixon <spencercdixon@gmail.com>
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#pragma once
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#include <AK/String.h>
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#include <AK/Tuple.h>
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namespace Assistant {
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struct FuzzyMatchResult {
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bool matched { false };
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int score { 0 };
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};
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// This fuzzy_match algorithm is based off a similar algorithm used by Sublime Text. The key insight is that instead
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// of doing a total in the distance between characters (I.E. Levenshtein Distance), we apply some meaningful heuristics
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// related to our dataset that we're trying to match to build up a score. Scores can then be sorted and displayed
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// with the highest at the top.
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//
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// Scores are not normalized between any values and have no particular meaning. The starting value is 100 and when we
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// detect good indicators of a match we add to the score. When we detect bad indicators, we penalize the match and subtract
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// from its score. Therefore, the longer the needle/haystack the greater the range of scores could be.
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FuzzyMatchResult fuzzy_match(String const& needle, String const& haystack);
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}
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