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use std::cmp;
use unicode_segmentation::UnicodeSegmentation;
enum JaroVersion {
Pure,
Winkler,
WinklerLongTolerance,
}
fn vec_jaro_or_winkler<T: PartialEq>(s1: &Vec<T>, s2: &Vec<T>, version: JaroVersion) -> f64 {
let s1_len = s1.len();
let s2_len = s2.len();
if s1_len == 0 || s2_len == 0 {
return 0.0;
}
let min_len = cmp::max(s1_len, s2_len);
let search_range = if min_len > 1 { (min_len / 2) - 1 } else { 0 };
let mut s1_flags = vec![false; s1_len];
let mut s2_flags = vec![false; s2_len];
let mut common_chars = 0;
for (i, s1_ch) in s1.iter().enumerate() {
let low = if search_range >= i {
0
} else {
i - search_range
};
let hi = cmp::min(i + search_range, s2_len - 1);
for j in low..hi + 1 {
if !s2_flags[j] && s2[j] == *s1_ch {
s1_flags[i] = true;
s2_flags[j] = true;
common_chars += 1;
break;
}
}
}
if common_chars == 0 {
return 0.0;
}
let mut k = 0;
let mut trans_count = 0;
for (i, s1_f) in s1_flags.iter().enumerate() {
if *s1_f {
let mut j = k;
while j < s2_len {
if s2_flags[j] {
k = j + 1;
break;
}
j += 1;
}
if s1[i] != s2[j] {
trans_count += 1
}
}
}
let trans_count = (trans_count / 2) as f64;
let common_charsf = common_chars as f64;
let s1_lenf = s1_len as f64;
let s2_lenf = s2_len as f64;
let mut weight = (common_charsf / s1_lenf
+ common_charsf / s2_lenf
+ (common_charsf - trans_count) / common_charsf)
/ 3.0;
let (winklerize, long_tolerance) = match version {
JaroVersion::Pure => (false, false),
JaroVersion::Winkler => (true, false),
JaroVersion::WinklerLongTolerance => (true, true),
};
if winklerize && weight > 0.7 && s1_len > 3 && s2_len > 3 {
let mut i = 0;
let j = cmp::min(min_len, 4);
while i < j && s1[i] == s2[i] {
i += 1;
}
if i > 0 {
weight += (i as f64) * 0.1 * (1.0 - weight);
}
if long_tolerance && min_len > 4 && common_chars > i + 1 && 2 * common_chars >= min_len + i
{
weight += (1.0 - weight) * (common_charsf - i as f64 - 1.0)
/ (s1_lenf + s2_lenf - i as f64 * 2.0 + 2.0);
}
}
return weight;
}
pub fn vec_jaro_similarity<T: PartialEq>(s1: &Vec<T>, s2: &Vec<T>) -> f64 {
vec_jaro_or_winkler(s1, s2, JaroVersion::Pure)
}
pub fn vec_jaro_winkler_similarity<T: PartialEq>(s1: &Vec<T>, s2: &Vec<T>) -> f64 {
vec_jaro_or_winkler(s1, s2, JaroVersion::Winkler)
}
pub fn vec_jaro_winkler_similarity_longtol<T: PartialEq>(s1: &Vec<T>, s2: &Vec<T>) -> f64 {
vec_jaro_or_winkler(s1, s2, JaroVersion::WinklerLongTolerance)
}
pub fn jaro_similarity(s1: &str, s2: &str) -> f64 {
let us1 = UnicodeSegmentation::graphemes(s1, true).collect::<Vec<&str>>();
let us2 = UnicodeSegmentation::graphemes(s2, true).collect::<Vec<&str>>();
vec_jaro_similarity(&us1, &us2)
}
pub fn jaro_winkler_similarity(s1: &str, s2: &str) -> f64 {
let us1 = UnicodeSegmentation::graphemes(s1, true).collect::<Vec<&str>>();
let us2 = UnicodeSegmentation::graphemes(s2, true).collect::<Vec<&str>>();
vec_jaro_winkler_similarity(&us1, &us2)
}
pub fn jaro_winkler_similarity_longtol(s1: &str, s2: &str) -> f64 {
let us1 = UnicodeSegmentation::graphemes(s1, true).collect::<Vec<&str>>();
let us2 = UnicodeSegmentation::graphemes(s2, true).collect::<Vec<&str>>();
vec_jaro_winkler_similarity_longtol(&us1, &us2)
}
#[cfg(test)]
mod test {
use super::*;
use crate::testutils::testutils;
#[test]
fn test_jaro() {
testutils::test_similarity_func("testdata/jaro_distance.csv", jaro_similarity);
}
#[test]
fn test_jaro_winkler() {
testutils::test_similarity_func("testdata/jaro_winkler.csv", jaro_winkler_similarity);
}
#[test]
fn test_jaro_winkler_longtol() {
testutils::test_similarity_func(
"testdata/jaro_winkler_longtol.csv",
jaro_winkler_similarity_longtol,
);
}
}