1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82

use std::cmp;
use crate::symbol::Symbol;

#[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 (case_insensitive_match, levenstein_match) = iter_names
    .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, (levenstein_match, levenstein_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) })
            }
        )
    });

    if let Some(candidate) = case_insensitive_match {
        Some(candidate) // exact case insensitive match has a higher priority
    } else {
        if let Some((candidate, _)) = levenstein_match { Some(candidate) } else { None }
    }
}