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Rollup merge of #93325 - tmiasko:lev, r=davidtwco
Introduce a limit to Levenshtein distance computation Incorporate distance limit from `find_best_match_for_name` directly into Levenshtein distance computation. Use the string size difference as a lower bound on the distance and exit early when it exceeds the specified limit. After finding a candidate within a limit, lower the limit further to restrict the search space.
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commit
6caa533dc7
@ -423,7 +423,7 @@ impl<'a> Parser<'a> {
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// Maybe the user misspelled `macro_rules` (issue #91227)
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if self.token.is_ident()
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&& path.segments.len() == 1
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&& lev_distance("macro_rules", &path.segments[0].ident.to_string()) <= 3
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&& lev_distance("macro_rules", &path.segments[0].ident.to_string(), 3).is_some()
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{
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err.span_suggestion(
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path.span,
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@ -11,16 +11,21 @@ use std::cmp;
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mod tests;
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/// Finds the Levenshtein distance between two strings.
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pub fn lev_distance(a: &str, b: &str) -> usize {
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// cases which don't require further computation
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if a.is_empty() {
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return b.chars().count();
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} else if b.is_empty() {
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return a.chars().count();
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///
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/// Returns None if the distance exceeds the limit.
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pub fn lev_distance(a: &str, b: &str, limit: usize) -> Option<usize> {
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let n = a.chars().count();
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let m = b.chars().count();
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let min_dist = if n < m { m - n } else { n - m };
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if min_dist > limit {
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return None;
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}
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if n == 0 || m == 0 {
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return (min_dist <= limit).then_some(min_dist);
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}
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let mut dcol: Vec<_> = (0..=b.len()).collect();
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let mut t_last = 0;
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let mut dcol: Vec<_> = (0..=m).collect();
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for (i, sc) in a.chars().enumerate() {
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let mut current = i;
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@ -35,10 +40,10 @@ pub fn lev_distance(a: &str, b: &str) -> usize {
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dcol[j + 1] = cmp::min(dcol[j + 1], dcol[j]) + 1;
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}
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current = next;
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t_last = j;
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}
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}
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dcol[t_last + 1]
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(dcol[m] <= limit).then_some(dcol[m])
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}
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/// Finds the best match for a given word in the given iterator.
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@ -51,39 +56,38 @@ pub fn lev_distance(a: &str, b: &str) -> usize {
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/// on an edge case with a lower(upper)case letters mismatch.
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#[cold]
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pub fn find_best_match_for_name(
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name_vec: &[Symbol],
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candidates: &[Symbol],
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lookup: Symbol,
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dist: Option<usize>,
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) -> Option<Symbol> {
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let lookup = lookup.as_str();
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let max_dist = dist.unwrap_or_else(|| cmp::max(lookup.len(), 3) / 3);
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let lookup_uppercase = lookup.to_uppercase();
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// Priority of matches:
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// 1. Exact case insensitive match
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// 2. Levenshtein distance match
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// 3. Sorted word match
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if let Some(case_insensitive_match) =
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name_vec.iter().find(|candidate| candidate.as_str().to_uppercase() == lookup.to_uppercase())
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{
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return Some(*case_insensitive_match);
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if let Some(c) = candidates.iter().find(|c| c.as_str().to_uppercase() == lookup_uppercase) {
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return Some(*c);
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}
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let levenshtein_match = name_vec
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.iter()
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.filter_map(|&name| {
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let dist = lev_distance(lookup, name.as_str());
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if dist <= max_dist { Some((name, dist)) } else { None }
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})
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// Here we are collecting the next structure:
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// (levenshtein_match, levenshtein_distance)
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.fold(None, |result, (candidate, dist)| match result {
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None => Some((candidate, dist)),
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Some((c, d)) => Some(if dist < d { (candidate, dist) } else { (c, d) }),
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});
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if levenshtein_match.is_some() {
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levenshtein_match.map(|(candidate, _)| candidate)
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} else {
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find_match_by_sorted_words(name_vec, lookup)
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let mut dist = dist.unwrap_or_else(|| cmp::max(lookup.len(), 3) / 3);
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let mut best = None;
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for c in candidates {
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match lev_distance(lookup, c.as_str(), dist) {
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Some(0) => return Some(*c),
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Some(d) => {
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dist = d - 1;
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best = Some(*c);
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}
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None => {}
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}
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}
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if best.is_some() {
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return best;
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}
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find_match_by_sorted_words(candidates, lookup)
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}
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fn find_match_by_sorted_words(iter_names: &[Symbol], lookup: &str) -> Option<Symbol> {
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@ -5,18 +5,26 @@ fn test_lev_distance() {
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use std::char::{from_u32, MAX};
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// Test bytelength agnosticity
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for c in (0..MAX as u32).filter_map(from_u32).map(|i| i.to_string()) {
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assert_eq!(lev_distance(&c[..], &c[..]), 0);
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assert_eq!(lev_distance(&c[..], &c[..], usize::MAX), Some(0));
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}
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let a = "\nMäry häd ä little lämb\n\nLittle lämb\n";
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let b = "\nMary häd ä little lämb\n\nLittle lämb\n";
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let c = "Mary häd ä little lämb\n\nLittle lämb\n";
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assert_eq!(lev_distance(a, b), 1);
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assert_eq!(lev_distance(b, a), 1);
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assert_eq!(lev_distance(a, c), 2);
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assert_eq!(lev_distance(c, a), 2);
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assert_eq!(lev_distance(b, c), 1);
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assert_eq!(lev_distance(c, b), 1);
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assert_eq!(lev_distance(a, b, usize::MAX), Some(1));
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assert_eq!(lev_distance(b, a, usize::MAX), Some(1));
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assert_eq!(lev_distance(a, c, usize::MAX), Some(2));
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assert_eq!(lev_distance(c, a, usize::MAX), Some(2));
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assert_eq!(lev_distance(b, c, usize::MAX), Some(1));
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assert_eq!(lev_distance(c, b, usize::MAX), Some(1));
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}
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#[test]
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fn test_lev_distance_limit() {
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assert_eq!(lev_distance("abc", "abcd", 1), Some(1));
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assert_eq!(lev_distance("abc", "abcd", 0), None);
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assert_eq!(lev_distance("abc", "xyz", 3), Some(3));
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assert_eq!(lev_distance("abc", "xyz", 2), None);
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}
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#[test]
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@ -15,6 +15,7 @@
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#![doc(html_root_url = "https://doc.rust-lang.org/nightly/nightly-rustc/")]
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#![feature(array_windows)]
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#![feature(bool_to_option)]
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#![feature(crate_visibility_modifier)]
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#![feature(if_let_guard)]
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#![feature(negative_impls)]
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@ -1904,8 +1904,13 @@ impl<'a, 'tcx> ProbeContext<'a, 'tcx> {
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.associated_items(def_id)
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.in_definition_order()
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.filter(|x| {
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let dist = lev_distance(name.as_str(), x.name.as_str());
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x.kind.namespace() == Namespace::ValueNS && dist > 0 && dist <= max_dist
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if x.kind.namespace() != Namespace::ValueNS {
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return false;
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}
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match lev_distance(name.as_str(), x.name.as_str(), max_dist) {
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Some(d) => d > 0,
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None => false,
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}
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})
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.copied()
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.collect()
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