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.
This commit is contained in:
Matthias Krüger 2022-01-27 22:32:26 +01:00 committed by GitHub
commit 6caa533dc7
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5 changed files with 60 additions and 42 deletions

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@ -423,7 +423,7 @@ impl<'a> Parser<'a> {
// Maybe the user misspelled `macro_rules` (issue #91227)
if self.token.is_ident()
&& path.segments.len() == 1
&& lev_distance("macro_rules", &path.segments[0].ident.to_string()) <= 3
&& lev_distance("macro_rules", &path.segments[0].ident.to_string(), 3).is_some()
{
err.span_suggestion(
path.span,

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@ -11,16 +11,21 @@ use std::cmp;
mod tests;
/// Finds the Levenshtein distance between two strings.
pub fn lev_distance(a: &str, b: &str) -> usize {
// cases which don't require further computation
if a.is_empty() {
return b.chars().count();
} else if b.is_empty() {
return a.chars().count();
///
/// 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..=b.len()).collect();
let mut t_last = 0;
let mut dcol: Vec<_> = (0..=m).collect();
for (i, sc) in a.chars().enumerate() {
let mut current = i;
@ -35,10 +40,10 @@ pub fn lev_distance(a: &str, b: &str) -> usize {
dcol[j + 1] = cmp::min(dcol[j + 1], dcol[j]) + 1;
}
current = next;
t_last = j;
}
}
dcol[t_last + 1]
(dcol[m] <= limit).then_some(dcol[m])
}
/// Finds the best match for a given word in the given iterator.
@ -51,39 +56,38 @@ pub fn lev_distance(a: &str, b: &str) -> usize {
/// on an edge case with a lower(upper)case letters mismatch.
#[cold]
pub fn find_best_match_for_name(
name_vec: &[Symbol],
candidates: &[Symbol],
lookup: Symbol,
dist: Option<usize>,
) -> Option<Symbol> {
let lookup = lookup.as_str();
let max_dist = dist.unwrap_or_else(|| cmp::max(lookup.len(), 3) / 3);
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(case_insensitive_match) =
name_vec.iter().find(|candidate| candidate.as_str().to_uppercase() == lookup.to_uppercase())
{
return Some(*case_insensitive_match);
if let Some(c) = candidates.iter().find(|c| c.as_str().to_uppercase() == lookup_uppercase) {
return Some(*c);
}
let levenshtein_match = name_vec
.iter()
.filter_map(|&name| {
let dist = lev_distance(lookup, name.as_str());
if dist <= max_dist { Some((name, dist)) } else { None }
})
// Here we are collecting the next structure:
// (levenshtein_match, levenshtein_distance)
.fold(None, |result, (candidate, dist)| match result {
None => Some((candidate, dist)),
Some((c, d)) => Some(if dist < d { (candidate, dist) } else { (c, d) }),
});
if levenshtein_match.is_some() {
levenshtein_match.map(|(candidate, _)| candidate)
} else {
find_match_by_sorted_words(name_vec, lookup)
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> {

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@ -5,18 +5,26 @@ fn test_lev_distance() {
use std::char::{from_u32, MAX};
// Test bytelength agnosticity
for c in (0..MAX as u32).filter_map(from_u32).map(|i| i.to_string()) {
assert_eq!(lev_distance(&c[..], &c[..]), 0);
assert_eq!(lev_distance(&c[..], &c[..], usize::MAX), Some(0));
}
let a = "\nMäry häd ä little lämb\n\nLittle lämb\n";
let b = "\nMary häd ä little lämb\n\nLittle lämb\n";
let c = "Mary häd ä little lämb\n\nLittle lämb\n";
assert_eq!(lev_distance(a, b), 1);
assert_eq!(lev_distance(b, a), 1);
assert_eq!(lev_distance(a, c), 2);
assert_eq!(lev_distance(c, a), 2);
assert_eq!(lev_distance(b, c), 1);
assert_eq!(lev_distance(c, b), 1);
assert_eq!(lev_distance(a, b, usize::MAX), Some(1));
assert_eq!(lev_distance(b, a, usize::MAX), Some(1));
assert_eq!(lev_distance(a, c, usize::MAX), Some(2));
assert_eq!(lev_distance(c, a, usize::MAX), Some(2));
assert_eq!(lev_distance(b, c, usize::MAX), Some(1));
assert_eq!(lev_distance(c, b, usize::MAX), Some(1));
}
#[test]
fn test_lev_distance_limit() {
assert_eq!(lev_distance("abc", "abcd", 1), Some(1));
assert_eq!(lev_distance("abc", "abcd", 0), None);
assert_eq!(lev_distance("abc", "xyz", 3), Some(3));
assert_eq!(lev_distance("abc", "xyz", 2), None);
}
#[test]

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@ -15,6 +15,7 @@
#![doc(html_root_url = "https://doc.rust-lang.org/nightly/nightly-rustc/")]
#![feature(array_windows)]
#![feature(bool_to_option)]
#![feature(crate_visibility_modifier)]
#![feature(if_let_guard)]
#![feature(negative_impls)]

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@ -1904,8 +1904,13 @@ impl<'a, 'tcx> ProbeContext<'a, 'tcx> {
.associated_items(def_id)
.in_definition_order()
.filter(|x| {
let dist = lev_distance(name.as_str(), x.name.as_str());
x.kind.namespace() == Namespace::ValueNS && dist > 0 && dist <= max_dist
if x.kind.namespace() != Namespace::ValueNS {
return false;
}
match lev_distance(name.as_str(), x.name.as_str(), max_dist) {
Some(d) => d > 0,
None => false,
}
})
.copied()
.collect()