blob: cce86fed9891c14fe3b4e5c8e44d556338df3271 [file] [log] [blame]
// FIXME(Centril): Move to rustc_span?
use rustc_span::symbol::Symbol;
use std::cmp;
#[cfg(test)]
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();
}
let mut dcol: Vec<_> = (0..=b.len()).collect();
let mut t_last = 0;
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;
t_last = j;
}
}
dcol[t_last + 1]
}
/// 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.
pub fn find_best_match_for_name<'a, T>(
iter_names: T,
lookup: &str,
dist: Option<usize>,
) -> Option<Symbol>
where
T: Iterator<Item = &'a Symbol>,
{
let max_dist = dist.map_or_else(|| cmp::max(lookup.len(), 3) / 3, |d| d);
let name_vec: Vec<&Symbol> = iter_names.collect();
let (case_insensitive_match, 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:
// (case_insensitive_match, (levenshtein_match, levenshtein_distance))
.fold((None, None), |result, (candidate, dist)| {
(
if candidate.as_str().to_uppercase() == lookup.to_uppercase() {
Some(candidate)
} else {
result.0
},
match result.1 {
None => Some((candidate, dist)),
Some((c, d)) => Some(if dist < d { (candidate, dist) } else { (c, d) }),
},
)
});
// Priority of matches:
// 1. Exact case insensitive match
// 2. Levenshtein distance match
// 3. Sorted word match
if let Some(candidate) = case_insensitive_match {
Some(*candidate)
} else if levenshtein_match.is_some() {
levenshtein_match.map(|(candidate, _)| *candidate)
} else {
find_match_by_sorted_words(name_vec, lookup)
}
}
fn find_match_by_sorted_words<'a>(iter_names: Vec<&'a 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();
split_words.sort();
split_words.join("_")
}