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//! Fuzzy string matching inspired by [Visual Studio Code](https://github.com/microsoft/vscode).
//!
//! The fuzzy matching algorithm used in this crate is optimized for use cases such as
//! command palettes, quick file navigation, and code searching. It does not use Levenshtein
//! distance, which is more suited to use cases like spell checking.
//!
//! The algorithm only allows matches where the characters in the query string are present and
//! in the same order as the characters in the target string. All queries are substring queries,
//! so it is not a major hit to the match score to search for a term in the middle of the target
//! string. The algorithm prefers matches that are at the beginning of words in the target
//! string, with words treated as they might appear in code (letters following a separator or
//! in camel case are treated as a word). Sequential matches are also favored.
#![no_std]
extern crate alloc;
use alloc::vec::Vec;
/// Fuzzy match a string against a query string. Returns a score that is higher for
/// a more confident match, or `None` if the query does not match the target string.
///
/// # Examples
///
/// ```
/// let matches = code_fuzzy_match::fuzzy_match("the quick brown fox", "bro fox");
/// assert!(matches.is_some());
/// let no_match = code_fuzzy_match::fuzzy_match("the quick brown fox", "cat");
/// assert!(no_match.is_none());
///
/// let high_score = code_fuzzy_match::fuzzy_match("Example string", "example");
/// let lower_score = code_fuzzy_match::fuzzy_match("Example string", "str");
/// assert!(high_score.unwrap() > lower_score.unwrap());
/// ```
pub fn fuzzy_match(target: &str, query: &str) -> Option<usize> {
// Break the target string into a vector of characters, since we need to manage
// parallel vectors with information per character.
let target_chars = target.chars().collect::<Vec<char>>();
// Create vectors holding the score and sequential counts for two query characters.
// This algorithm implements a matrix-based method of fuzzy matching, but we don't
// need to hold the entire matrix in memory, just the current and previous rows.
let mut prev_seq_match_counts = Vec::new();
let mut prev_score: Vec<usize> = Vec::new();
prev_seq_match_counts.resize(target_chars.len(), 0);
prev_score.resize(target_chars.len(), 0);
let mut seq_match_counts = Vec::new();
let mut score: Vec<usize> = Vec::new();
seq_match_counts.resize(target_chars.len(), 0);
score.resize(target_chars.len(), 0);
let mut first_possible_target_idx: usize = 0;
// Compute match scores for each query character in sequence
let mut first_query_char = true;
for query_char in query.chars() {
// If the starting point of the search is beyond the end of the target string,
// we can't have a match.
if first_possible_target_idx >= target_chars.len() {
return None;
}
// Reset vector holding the score and sequential counts for this query character.
// This algorithm implements a matrix-based method of fuzzy matching, but we don't
// need to hold the entire matrix in memory, just the current and previous rows.
seq_match_counts.fill(0);
score.fill(0);
let mut first_nonzero_score = None;
let mut prev_is_separator = false;
// Compute match scores for each target character in sequence, for this query character.
// Start at the character after the previous earliest character that had a score. Any
// character before that cannot have a score, so we don't need to check those.
for i in first_possible_target_idx..target_chars.len() {
// Get characters and the score for the previous character in the target
let target_char = target_chars[i];
let target_separator = matches!(target_char, '_' | '-' | '.' | ' ' | '\'' | '"' | ':');
let prev_target_score = if i == 0 { 0 } else { score[i - 1] };
// Previous score and sequential match count comes from the previous character
// in both the target and the query
let prev_query_score = if i == 0 { 0 } else { prev_score[i - 1] };
let seq_match_count = if i == 0 {
0
} else {
prev_seq_match_counts[i - 1]
};
if !first_query_char && prev_query_score == 0 {
score[i] = prev_target_score;
prev_is_separator = target_separator;
continue;
}
// Check to ensure the characters match at all. Treat slashes and backslashes
// as the same character to be able to use as a path matching function.
let char_matches = match target_char {
'/' => matches!(query_char, '/' | '\\'),
'\\' => matches!(query_char, '/' | '\\'),
_ => target_char
.to_lowercase()
.zip(query_char.to_lowercase())
.all(|(a, b)| a == b),
};
if !char_matches {
// No match, use existing score and reset sequential count
score[i] = prev_target_score;
prev_is_separator = target_separator;
continue;
}
// Compute score for this character match. These bonuses are inspired by
// the algorithm used by Visual Studio Code.
let mut char_score = 1;
// Sequential match bonus
char_score += seq_match_count * 5;
if target_char == query_char {
// Same case bonus
char_score += 1;
}
if i == 0 {
// Start of target bonus
char_score += 8;
} else {
if matches!(target_char, '/' | '\\') {
// Path separator bonus
char_score += 5;
} else if target_separator {
// Separator bonus
char_score += 4;
} else if target_char.is_uppercase() || prev_is_separator && seq_match_count == 0 {
// Start of word bonus
char_score += 2;
}
}
prev_is_separator = target_separator;
// Compute new score and check if it's improved
let new_score = prev_query_score + char_score;
if new_score >= prev_target_score {
// Score is at least the previous score, keep sequential match going
score[i] = new_score;
seq_match_counts[i] = seq_match_count;
if first_nonzero_score.is_none() {
first_nonzero_score = Some(i);
}
} else {
// Score is lower than the previous score, don't use this match
score[i] = prev_target_score;
}
}
if let Some(first_nonzero_score) = first_nonzero_score {
// Keep scores and sequential match information for this character in the query
// for lookup during the next character.
prev_score.copy_from_slice(&score);
prev_seq_match_counts.copy_from_slice(&seq_match_counts);
first_query_char = false;
// Start the next character's matching at the character following the one that
// first set a valid score.
first_possible_target_idx = first_nonzero_score + 1;
} else {
// If the all scores are zero, we already know we don't have a match. Exit early
// in this case.
return None;
}
}
// Final score will always be in the last slot of the final score vector
let score = *prev_score.last().unwrap_or(&0);
if score == 0 {
// Score of zero is not a match
None
} else {
Some(score)
}
}
#[cfg(test)]
mod tests {
use alloc::vec::Vec;
#[test]
fn test_match() {
let result = crate::fuzzy_match("The quick brown fox jumps over the lazy dog.", "fox");
assert!(result.is_some());
let result = crate::fuzzy_match(
"The quick brown fox jumps over the lazy dog.",
"Quick fox jumps the dog",
);
assert!(result.is_some());
}
#[test]
fn test_no_match() {
let result = crate::fuzzy_match("The quick brown fox jumps over the lazy dog.", "cat");
assert!(result.is_none());
let result = crate::fuzzy_match(
"The quick brown fox jumps over the lazy dog.",
"Quick fox jumps the cat",
);
assert!(result.is_none());
}
#[test]
fn test_ranking() {
const TARGET: &str = "The quick brown fox jumps over the lazy dog.";
const QUERIES: &[&str] = &[
"fx", // Match short word in the middle, omitted letter
"fox", // Match short word in the middle
"jump", // Match word in the middle
"JUMP", // Match word but not a case match, lower than "jump"
"The", // Short match on first word
"the", // Matches first word but not a case match, lower than "The"
"fx over", // Match with omitted letter
"quick cat", // Not a match, last word not present
"The quick", // Long case match at the start, this should be near the top
"the quick", // Long match at the start, this should be just below "The quick"
"jump the dog", // Long match, highest because of three exact word matches
"jmp the do", // Match, but not as high as "jump the dog"
"jmp the cat", // Not a match, last word not present
"dog the fox", // Not a match, out of order
"het", // Matches part of "the" and then a later "t" but should be low rank
"xz", // Letters are in order but not related, low rank
"xx", // Not a match, letter is present but only once
"ee", // Match, letter is present twice in the target
];
// Gather results for each query
let mut results = QUERIES
.iter()
.map(|query| (query, crate::fuzzy_match(TARGET, query)))
.collect::<Vec<_>>();
// Get rid of anything that isn't a match
results.retain(|(_, result)| result.is_some());
// Sort by score
results.sort_by_key(|(_, result)| result.unwrap());
// Validate results
assert_eq!(
results.iter().map(|(query, _)| *query).collect::<Vec<_>>(),
&[
&"xz",
&"ee",
&"fx",
&"JUMP",
&"fox",
&"het",
&"jump",
&"the",
&"The",
&"fx over",
&"the quick",
&"The quick",
&"jmp the do",
&"jump the dog",
]
);
}
#[test]
fn test_slash() {
let result = crate::fuzzy_match("/bin/ls", "/ls");
assert!(result.is_some());
let result = crate::fuzzy_match("/bin/ls", "\\ls");
assert!(result.is_some());
let result = crate::fuzzy_match("c:\\windows\\notepad.exe", "/windows");
assert!(result.is_some());
let result = crate::fuzzy_match("c:\\windows\\notepad.exe", "\\windows");
assert!(result.is_some());
}
#[test]
fn test_word_bonus() {
let higher = crate::fuzzy_match("words with spaces", "wit");
let lower = crate::fuzzy_match("words with spaces", "ith");
assert!(higher.is_some());
assert!(lower.is_some());
assert!(
higher.unwrap() > lower.unwrap(),
"higher = {:?}, lower = {:?}",
higher,
lower
);
let higher = crate::fuzzy_match("words_with_underscores", "wit");
let lower = crate::fuzzy_match("words_with_underscores", "ith");
assert!(higher.is_some());
assert!(lower.is_some());
assert!(
higher.unwrap() > lower.unwrap(),
"higher = {:?}, lower = {:?}",
higher,
lower
);
let higher = crate::fuzzy_match("camelCaseWords", "Cas");
let lower = crate::fuzzy_match("camelCaseWords", "ase");
assert!(higher.is_some());
assert!(lower.is_some());
assert!(
higher.unwrap() > lower.unwrap(),
"higher = {:?}, lower = {:?}",
higher,
lower
);
}
}