| //! Levenshtein distances. |
| //! |
| //! The [Levenshtein distance] is a metric for measuring the difference between two strings. |
| //! |
| //! [Levenshtein distance]: https://en.wikipedia.org/wiki/Levenshtein_distance |
| |
| use crate::symbol::Symbol; |
| use std::cmp; |
| |
| #[cfg(test)] |
| mod tests; |
| |
| /// Finds the Levenshtein distance between two strings. |
| /// |
| /// Returns None if the distance exceeds the limit. |
| pub fn lev_distance(a: &str, b: &str, limit: usize) -> Option<usize> { |
| let n = a.chars().count(); |
| let m = b.chars().count(); |
| let min_dist = if n < m { m - n } else { n - m }; |
| |
| if min_dist > limit { |
| return None; |
| } |
| if n == 0 || m == 0 { |
| return (min_dist <= limit).then_some(min_dist); |
| } |
| |
| let mut dcol: Vec<_> = (0..=m).collect(); |
| |
| for (i, sc) in a.chars().enumerate() { |
| let mut current = i; |
| dcol[0] = current + 1; |
| |
| for (j, tc) in b.chars().enumerate() { |
| let next = dcol[j + 1]; |
| if sc == tc { |
| dcol[j + 1] = current; |
| } else { |
| dcol[j + 1] = cmp::min(current, next); |
| dcol[j + 1] = cmp::min(dcol[j + 1], dcol[j]) + 1; |
| } |
| current = next; |
| } |
| } |
| |
| (dcol[m] <= limit).then_some(dcol[m]) |
| } |
| |
| /// Finds the best match for a given word in the given iterator. |
| /// |
| /// As a loose rule to avoid the obviously incorrect suggestions, it takes |
| /// an optional limit for the maximum allowable edit distance, which defaults |
| /// to one-third of the given word. |
| /// |
| /// Besides Levenshtein, we use case insensitive comparison to improve accuracy |
| /// on an edge case with a lower(upper)case letters mismatch. |
| #[cold] |
| pub fn find_best_match_for_name( |
| candidates: &[Symbol], |
| lookup: Symbol, |
| dist: Option<usize>, |
| ) -> Option<Symbol> { |
| let lookup = lookup.as_str(); |
| let lookup_uppercase = lookup.to_uppercase(); |
| |
| // Priority of matches: |
| // 1. Exact case insensitive match |
| // 2. Levenshtein distance match |
| // 3. Sorted word match |
| if let Some(c) = candidates.iter().find(|c| c.as_str().to_uppercase() == lookup_uppercase) { |
| return Some(*c); |
| } |
| |
| let mut dist = dist.unwrap_or_else(|| cmp::max(lookup.len(), 3) / 3); |
| let mut best = None; |
| for c in candidates { |
| match lev_distance(lookup, c.as_str(), dist) { |
| Some(0) => return Some(*c), |
| Some(d) => { |
| dist = d - 1; |
| best = Some(*c); |
| } |
| None => {} |
| } |
| } |
| if best.is_some() { |
| return best; |
| } |
| |
| find_match_by_sorted_words(candidates, lookup) |
| } |
| |
| fn find_match_by_sorted_words(iter_names: &[Symbol], lookup: &str) -> Option<Symbol> { |
| iter_names.iter().fold(None, |result, candidate| { |
| if sort_by_words(candidate.as_str()) == sort_by_words(lookup) { |
| Some(*candidate) |
| } else { |
| result |
| } |
| }) |
| } |
| |
| fn sort_by_words(name: &str) -> String { |
| let mut split_words: Vec<&str> = name.split('_').collect(); |
| // We are sorting primitive &strs and can use unstable sort here. |
| split_words.sort_unstable(); |
| split_words.join("_") |
| } |