| <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/root/.cargo/registry/src/github.com-1ecc6299db9ec823/strsim-0.8.0/src/lib.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>lib.rs - source</title><link rel="preload" as="font" type="font/woff2" crossorigin href="../../SourceSerif4-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../FiraSans-Regular.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../FiraSans-Medium.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../SourceCodePro-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../SourceSerif4-Bold.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../SourceCodePro-Semibold.ttf.woff2"><link rel="stylesheet" href="../../normalize.css"><link rel="stylesheet" href="../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" href="../../ayu.css" disabled><link rel="stylesheet" href="../../dark.css" disabled><link rel="stylesheet" href="../../light.css" id="themeStyle"><script id="default-settings" ></script><script src="../../storage.js"></script><script defer src="../../source-script.js"></script><script defer src="../../source-files.js"></script><script defer src="../../main.js"></script><noscript><link rel="stylesheet" href="../../noscript.css"></noscript><link rel="alternate icon" type="image/png" href="../../favicon-16x16.png"><link rel="alternate icon" type="image/png" href="../../favicon-32x32.png"><link rel="icon" type="image/svg+xml" href="../../favicon.svg"></head><body class="rustdoc source"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><a class="sidebar-logo" href="../../strsim/index.html"><div class="logo-container"><img class="rust-logo" src="../../rust-logo.svg" alt="logo"></div></a></nav><main><div class="width-limiter"><nav class="sub"><a class="sub-logo-container" href="../../strsim/index.html"><img class="rust-logo" src="../../rust-logo.svg" alt="logo"></a><form class="search-form"><div class="search-container"><span></span><input class="search-input" name="search" autocomplete="off" spellcheck="false" placeholder="Click or press ‘S’ to search, ‘?’ for more options…" type="search"><div id="help-button" title="help" tabindex="-1"><a href="../../help.html">?</a></div><div id="settings-menu" tabindex="-1"><a href="../../settings.html" title="settings"><img width="22" height="22" alt="Change settings" src="../../wheel.svg"></a></div></div></form></nav><section id="main-content" class="content"><div class="example-wrap"><pre class="src-line-numbers"><span id="1">1</span> |
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| <span id="523">523</span> |
| <span id="524">524</span> |
| <span id="525">525</span> |
| <span id="526">526</span> |
| <span id="527">527</span> |
| <span id="528">528</span> |
| <span id="529">529</span> |
| <span id="530">530</span> |
| <span id="531">531</span> |
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| <span id="541">541</span> |
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| <span id="629">629</span> |
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| <span id="719">719</span> |
| <span id="720">720</span> |
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| <span id="722">722</span> |
| <span id="723">723</span> |
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| <span id="728">728</span> |
| <span id="729">729</span> |
| <span id="730">730</span> |
| <span id="731">731</span> |
| <span id="732">732</span> |
| <span id="733">733</span> |
| <span id="734">734</span> |
| <span id="735">735</span> |
| <span id="736">736</span> |
| <span id="737">737</span> |
| <span id="738">738</span> |
| <span id="739">739</span> |
| <span id="740">740</span> |
| <span id="741">741</span> |
| <span id="742">742</span> |
| <span id="743">743</span> |
| <span id="744">744</span> |
| <span id="745">745</span> |
| <span id="746">746</span> |
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| <span id="749">749</span> |
| <span id="750">750</span> |
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| <span id="753">753</span> |
| <span id="754">754</span> |
| <span id="755">755</span> |
| <span id="756">756</span> |
| <span id="757">757</span> |
| <span id="758">758</span> |
| <span id="759">759</span> |
| <span id="760">760</span> |
| <span id="761">761</span> |
| <span id="762">762</span> |
| <span id="763">763</span> |
| <span id="764">764</span> |
| <span id="765">765</span> |
| <span id="766">766</span> |
| <span id="767">767</span> |
| <span id="768">768</span> |
| <span id="769">769</span> |
| <span id="770">770</span> |
| <span id="771">771</span> |
| <span id="772">772</span> |
| <span id="773">773</span> |
| <span id="774">774</span> |
| <span id="775">775</span> |
| <span id="776">776</span> |
| <span id="777">777</span> |
| <span id="778">778</span> |
| <span id="779">779</span> |
| <span id="780">780</span> |
| <span id="781">781</span> |
| <span id="782">782</span> |
| <span id="783">783</span> |
| <span id="784">784</span> |
| <span id="785">785</span> |
| <span id="786">786</span> |
| </pre><pre class="rust"><code><span class="doccomment">//! This library implements string similarity metrics. |
| |
| </span><span class="kw">use </span>std::char; |
| <span class="kw">use </span>std::cmp::{max, min}; |
| <span class="kw">use </span>std::collections::HashMap; |
| |
| <span class="attribute">#[derive(Debug, PartialEq)] |
| </span><span class="kw">pub enum </span>StrSimError { |
| DifferentLengthArgs |
| } |
| |
| <span class="kw">pub type </span>HammingResult = <span class="prelude-ty">Result</span><usize, StrSimError>; |
| |
| <span class="doccomment">/// Calculates the number of positions in the two strings where the characters |
| /// differ. Returns an error if the strings have different lengths. |
| /// |
| /// ``` |
| /// use strsim::hamming; |
| /// |
| /// match hamming("hamming", "hammers") { |
| /// Ok(distance) => assert_eq!(3, distance), |
| /// Err(why) => panic!("{:?}", why) |
| /// } |
| /// ``` |
| </span><span class="kw">pub fn </span>hamming(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> HammingResult { |
| <span class="kw">let </span>(<span class="kw-2">mut </span>ita, <span class="kw-2">mut </span>itb, <span class="kw-2">mut </span>count) = (a.chars(), b.chars(), <span class="number">0</span>); |
| <span class="kw">loop </span>{ |
| <span class="kw">match </span>(ita.next(), itb.next()){ |
| (<span class="prelude-val">Some</span>(x), <span class="prelude-val">Some</span>(y)) => <span class="kw">if </span>x != y { count += <span class="number">1 </span>}, |
| (<span class="prelude-val">None</span>, <span class="prelude-val">None</span>) => <span class="kw">return </span><span class="prelude-val">Ok</span>(count), |
| <span class="kw">_ </span>=> <span class="kw">return </span><span class="prelude-val">Err</span>(StrSimError::DifferentLengthArgs), |
| } |
| } |
| } |
| |
| <span class="doccomment">/// Calculates the Jaro similarity between two strings. The returned value |
| /// is between 0.0 and 1.0 (higher value means more similar). |
| /// |
| /// ``` |
| /// use strsim::jaro; |
| /// |
| /// assert!((0.392 - jaro("Friedrich Nietzsche", "Jean-Paul Sartre")).abs() < |
| /// 0.001); |
| /// ``` |
| </span><span class="kw">pub fn </span>jaro(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> f64 { |
| <span class="kw">if </span>a == b { <span class="kw">return </span><span class="number">1.0</span>; } |
| |
| <span class="kw">let </span>a_len = a.chars().count(); |
| <span class="kw">let </span>b_len = b.chars().count(); |
| |
| <span class="comment">// The check for lengths of one here is to prevent integer overflow when |
| // calculating the search range. |
| </span><span class="kw">if </span>a_len == <span class="number">0 </span>|| b_len == <span class="number">0 </span>|| (a_len == <span class="number">1 </span>&& b_len == <span class="number">1</span>) { |
| <span class="kw">return </span><span class="number">0.0</span>; |
| } |
| |
| <span class="kw">let </span>search_range = (max(a_len, b_len) / <span class="number">2</span>) - <span class="number">1</span>; |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>b_consumed = Vec::with_capacity(b_len); |
| <span class="kw">for _ in </span><span class="number">0</span>..b_len { |
| b_consumed.push(<span class="bool-val">false</span>); |
| } |
| <span class="kw">let </span><span class="kw-2">mut </span>matches = <span class="number">0.0</span>; |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>transpositions = <span class="number">0.0</span>; |
| <span class="kw">let </span><span class="kw-2">mut </span>b_match_index = <span class="number">0</span>; |
| |
| <span class="kw">for </span>(i, a_char) <span class="kw">in </span>a.chars().enumerate() { |
| <span class="kw">let </span>min_bound = |
| <span class="comment">// prevent integer wrapping |
| </span><span class="kw">if </span>i > search_range { |
| max(<span class="number">0</span>, i - search_range) |
| } <span class="kw">else </span>{ |
| <span class="number">0 |
| </span>}; |
| |
| <span class="kw">let </span>max_bound = min(b_len - <span class="number">1</span>, i + search_range); |
| |
| <span class="kw">if </span>min_bound > max_bound { |
| <span class="kw">continue</span>; |
| } |
| |
| <span class="kw">for </span>(j, b_char) <span class="kw">in </span>b.chars().enumerate() { |
| <span class="kw">if </span>min_bound <= j && j <= max_bound && a_char == b_char && |
| !b_consumed[j] { |
| b_consumed[j] = <span class="bool-val">true</span>; |
| matches += <span class="number">1.0</span>; |
| |
| <span class="kw">if </span>j < b_match_index { |
| transpositions += <span class="number">1.0</span>; |
| } |
| b_match_index = j; |
| |
| <span class="kw">break</span>; |
| } |
| } |
| } |
| |
| <span class="kw">if </span>matches == <span class="number">0.0 </span>{ |
| <span class="number">0.0 |
| </span>} <span class="kw">else </span>{ |
| (<span class="number">1.0 </span>/ <span class="number">3.0</span>) * ((matches / a_len <span class="kw">as </span>f64) + |
| (matches / b_len <span class="kw">as </span>f64) + |
| ((matches - transpositions) / matches)) |
| } |
| } |
| |
| <span class="doccomment">/// Like Jaro but gives a boost to strings that have a common prefix. |
| /// |
| /// ``` |
| /// use strsim::jaro_winkler; |
| /// |
| /// assert!((0.911 - jaro_winkler("cheeseburger", "cheese fries")).abs() < |
| /// 0.001); |
| /// ``` |
| </span><span class="kw">pub fn </span>jaro_winkler(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> f64 { |
| <span class="kw">let </span>jaro_distance = jaro(a, b); |
| |
| <span class="comment">// Don't limit the length of the common prefix |
| </span><span class="kw">let </span>prefix_length = a.chars() |
| .zip(b.chars()) |
| .take_while(|<span class="kw-2">&</span>(a_char, b_char)| a_char == b_char) |
| .count(); |
| |
| <span class="kw">let </span>jaro_winkler_distance = |
| jaro_distance + (<span class="number">0.1 </span>* prefix_length <span class="kw">as </span>f64 * (<span class="number">1.0 </span>- jaro_distance)); |
| |
| <span class="kw">if </span>jaro_winkler_distance <= <span class="number">1.0 </span>{ |
| jaro_winkler_distance |
| } <span class="kw">else </span>{ |
| <span class="number">1.0 |
| </span>} |
| } |
| |
| <span class="doccomment">/// Calculates the minimum number of insertions, deletions, and substitutions |
| /// required to change one string into the other. |
| /// |
| /// ``` |
| /// use strsim::levenshtein; |
| /// |
| /// assert_eq!(3, levenshtein("kitten", "sitting")); |
| /// ``` |
| </span><span class="kw">pub fn </span>levenshtein(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> usize { |
| <span class="kw">if </span>a == b { <span class="kw">return </span><span class="number">0</span>; } |
| |
| <span class="kw">let </span>a_len = a.chars().count(); |
| <span class="kw">let </span>b_len = b.chars().count(); |
| |
| <span class="kw">if </span>a_len == <span class="number">0 </span>{ <span class="kw">return </span>b_len; } |
| <span class="kw">if </span>b_len == <span class="number">0 </span>{ <span class="kw">return </span>a_len; } |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>cache: Vec<usize> = (<span class="number">1</span>..b_len+<span class="number">1</span>).collect(); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>result = <span class="number">0</span>; |
| <span class="kw">let </span><span class="kw-2">mut </span>distance_a; |
| <span class="kw">let </span><span class="kw-2">mut </span>distance_b; |
| |
| <span class="kw">for </span>(i, a_char) <span class="kw">in </span>a.chars().enumerate() { |
| result = i; |
| distance_b = i; |
| |
| <span class="kw">for </span>(j, b_char) <span class="kw">in </span>b.chars().enumerate() { |
| <span class="kw">let </span>cost = <span class="kw">if </span>a_char == b_char { <span class="number">0 </span>} <span class="kw">else </span>{ <span class="number">1 </span>}; |
| distance_a = distance_b + cost; |
| distance_b = cache[j]; |
| result = min(result + <span class="number">1</span>, min(distance_a, distance_b + <span class="number">1</span>)); |
| cache[j] = result; |
| } |
| } |
| |
| result |
| } |
| |
| <span class="doccomment">/// Calculates a normalized score of the Levenshtein algorithm between 0.0 and |
| /// 1.0 (inclusive), where 1.0 means the strings are the same. |
| /// |
| /// ``` |
| /// use strsim::normalized_levenshtein; |
| /// |
| /// assert!((normalized_levenshtein("kitten", "sitting") - 0.57142).abs() < 0.00001); |
| /// assert!((normalized_levenshtein("", "") - 1.0).abs() < 0.00001); |
| /// assert!(normalized_levenshtein("", "second").abs() < 0.00001); |
| /// assert!(normalized_levenshtein("first", "").abs() < 0.00001); |
| /// assert!((normalized_levenshtein("string", "string") - 1.0).abs() < 0.00001); |
| /// ``` |
| </span><span class="kw">pub fn </span>normalized_levenshtein(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> f64 { |
| <span class="kw">if </span>a.is_empty() && b.is_empty() { |
| <span class="kw">return </span><span class="number">1.0</span>; |
| } |
| <span class="number">1.0 </span>- (levenshtein(a, b) <span class="kw">as </span>f64) / (a.chars().count().max(b.chars().count()) <span class="kw">as </span>f64) |
| } |
| |
| <span class="doccomment">/// Like Levenshtein but allows for adjacent transpositions. Each substring can |
| /// only be edited once. |
| /// |
| /// ``` |
| /// use strsim::osa_distance; |
| /// |
| /// assert_eq!(3, osa_distance("ab", "bca")); |
| /// ``` |
| </span><span class="kw">pub fn </span>osa_distance(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> usize { |
| <span class="kw">let </span>a_len = a.chars().count(); |
| <span class="kw">let </span>b_len = b.chars().count(); |
| <span class="kw">if </span>a == b { <span class="kw">return </span><span class="number">0</span>; } |
| <span class="kw">else if </span>a_len == <span class="number">0 </span>{ <span class="kw">return </span>b_len; } |
| <span class="kw">else if </span>b_len == <span class="number">0 </span>{ <span class="kw">return </span>a_len; } |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>prev_two_distances: Vec<usize> = Vec::with_capacity(b_len + <span class="number">1</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>prev_distances: Vec<usize> = Vec::with_capacity(b_len + <span class="number">1</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>curr_distances: Vec<usize> = Vec::with_capacity(b_len + <span class="number">1</span>); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>prev_a_char = char::MAX; |
| <span class="kw">let </span><span class="kw-2">mut </span>prev_b_char = char::MAX; |
| |
| <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..(b_len + <span class="number">1</span>) { |
| prev_two_distances.push(i); |
| prev_distances.push(i); |
| curr_distances.push(<span class="number">0</span>); |
| } |
| |
| <span class="kw">for </span>(i, a_char) <span class="kw">in </span>a.chars().enumerate() { |
| curr_distances[<span class="number">0</span>] = i + <span class="number">1</span>; |
| |
| <span class="kw">for </span>(j, b_char) <span class="kw">in </span>b.chars().enumerate() { |
| <span class="kw">let </span>cost = <span class="kw">if </span>a_char == b_char { <span class="number">0 </span>} <span class="kw">else </span>{ <span class="number">1 </span>}; |
| curr_distances[j + <span class="number">1</span>] = min(curr_distances[j] + <span class="number">1</span>, |
| min(prev_distances[j + <span class="number">1</span>] + <span class="number">1</span>, |
| prev_distances[j] + cost)); |
| <span class="kw">if </span>i > <span class="number">0 </span>&& j > <span class="number">0 </span>&& a_char != b_char && |
| a_char == prev_b_char && b_char == prev_a_char { |
| curr_distances[j + <span class="number">1</span>] = min(curr_distances[j + <span class="number">1</span>], |
| prev_two_distances[j - <span class="number">1</span>] + <span class="number">1</span>); |
| } |
| |
| prev_b_char = b_char; |
| } |
| |
| prev_two_distances.clone_from(<span class="kw-2">&</span>prev_distances); |
| prev_distances.clone_from(<span class="kw-2">&</span>curr_distances); |
| prev_a_char = a_char; |
| } |
| |
| curr_distances[b_len] |
| |
| } |
| |
| <span class="doccomment">/// Like optimal string alignment, but substrings can be edited an unlimited |
| /// number of times, and the triangle inequality holds. |
| /// |
| /// ``` |
| /// use strsim::damerau_levenshtein; |
| /// |
| /// assert_eq!(2, damerau_levenshtein("ab", "bca")); |
| /// ``` |
| </span><span class="kw">pub fn </span>damerau_levenshtein(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> usize { |
| <span class="kw">if </span>a == b { <span class="kw">return </span><span class="number">0</span>; } |
| |
| <span class="kw">let </span>a_chars: Vec<char> = a.chars().collect(); |
| <span class="kw">let </span>b_chars: Vec<char> = b.chars().collect(); |
| <span class="kw">let </span>a_len = a_chars.len(); |
| <span class="kw">let </span>b_len = b_chars.len(); |
| |
| <span class="kw">if </span>a_len == <span class="number">0 </span>{ <span class="kw">return </span>b_len; } |
| <span class="kw">if </span>b_len == <span class="number">0 </span>{ <span class="kw">return </span>a_len; } |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>distances = <span class="macro">vec!</span>[<span class="macro">vec!</span>[<span class="number">0</span>; b_len + <span class="number">2</span>]; a_len + <span class="number">2</span>]; |
| <span class="kw">let </span>max_distance = a_len + b_len; |
| distances[<span class="number">0</span>][<span class="number">0</span>] = max_distance; |
| |
| <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..(a_len + <span class="number">1</span>) { |
| distances[i + <span class="number">1</span>][<span class="number">0</span>] = max_distance; |
| distances[i + <span class="number">1</span>][<span class="number">1</span>] = i; |
| } |
| |
| <span class="kw">for </span>j <span class="kw">in </span><span class="number">0</span>..(b_len + <span class="number">1</span>) { |
| distances[<span class="number">0</span>][j + <span class="number">1</span>] = max_distance; |
| distances[<span class="number">1</span>][j + <span class="number">1</span>] = j; |
| } |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>chars: HashMap<char, usize> = HashMap::new(); |
| |
| <span class="kw">for </span>i <span class="kw">in </span><span class="number">1</span>..(a_len + <span class="number">1</span>) { |
| <span class="kw">let </span><span class="kw-2">mut </span>db = <span class="number">0</span>; |
| |
| <span class="kw">for </span>j <span class="kw">in </span><span class="number">1</span>..(b_len + <span class="number">1</span>) { |
| <span class="kw">let </span>k = <span class="kw">match </span>chars.get(<span class="kw-2">&</span>b_chars[j - <span class="number">1</span>]) { |
| <span class="prelude-val">Some</span>(value) => value.clone(), |
| <span class="prelude-val">None </span>=> <span class="number">0 |
| </span>}; |
| |
| <span class="kw">let </span>l = db; |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>cost = <span class="number">1</span>; |
| <span class="kw">if </span>a_chars[i - <span class="number">1</span>] == b_chars[j - <span class="number">1</span>] { |
| cost = <span class="number">0</span>; |
| db = j; |
| } |
| |
| <span class="kw">let </span>substitution_cost = distances[i][j] + cost; |
| <span class="kw">let </span>insertion_cost = distances[i][j + <span class="number">1</span>] + <span class="number">1</span>; |
| <span class="kw">let </span>deletion_cost = distances[i + <span class="number">1</span>][j] + <span class="number">1</span>; |
| <span class="kw">let </span>transposition_cost = distances[k][l] + (i - k - <span class="number">1</span>) + <span class="number">1 </span>+ |
| (j - l - <span class="number">1</span>); |
| |
| distances[i + <span class="number">1</span>][j + <span class="number">1</span>] = min(substitution_cost, |
| min(insertion_cost, |
| min(deletion_cost, |
| transposition_cost))); |
| } |
| |
| chars.insert(a_chars[i - <span class="number">1</span>], i); |
| } |
| |
| distances[a_len + <span class="number">1</span>][b_len + <span class="number">1</span>] |
| } |
| |
| <span class="doccomment">/// Calculates a normalized score of the Damerau–Levenshtein algorithm between |
| /// 0.0 and 1.0 (inclusive), where 1.0 means the strings are the same. |
| /// |
| /// ``` |
| /// use strsim::normalized_damerau_levenshtein; |
| /// |
| /// assert!((normalized_damerau_levenshtein("levenshtein", "löwenbräu") - 0.27272).abs() < 0.00001); |
| /// assert!((normalized_damerau_levenshtein("", "") - 1.0).abs() < 0.00001); |
| /// assert!(normalized_damerau_levenshtein("", "flower").abs() < 0.00001); |
| /// assert!(normalized_damerau_levenshtein("tree", "").abs() < 0.00001); |
| /// assert!((normalized_damerau_levenshtein("sunglasses", "sunglasses") - 1.0).abs() < 0.00001); |
| /// ``` |
| </span><span class="kw">pub fn </span>normalized_damerau_levenshtein(a: <span class="kw-2">&</span>str, b: <span class="kw-2">&</span>str) -> f64 { |
| <span class="kw">if </span>a.is_empty() && b.is_empty() { |
| <span class="kw">return </span><span class="number">1.0</span>; |
| } |
| <span class="number">1.0 </span>- (damerau_levenshtein(a, b) <span class="kw">as </span>f64) / (a.chars().count().max(b.chars().count()) <span class="kw">as </span>f64) |
| } |
| |
| <span class="attribute">#[cfg(test)] |
| </span><span class="kw">mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_empty() { |
| <span class="kw">match </span>hamming(<span class="string">""</span>, <span class="string">""</span>) { |
| <span class="prelude-val">Ok</span>(distance) => { <span class="macro">assert_eq!</span>(<span class="number">0</span>, distance); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">panic!</span>(<span class="string">"{:?}"</span>, why); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_same() { |
| <span class="kw">match </span>hamming(<span class="string">"hamming"</span>, <span class="string">"hamming"</span>) { |
| <span class="prelude-val">Ok</span>(distance) => { <span class="macro">assert_eq!</span>(<span class="number">0</span>, distance); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">panic!</span>(<span class="string">"{:?}"</span>, why); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_diff() { |
| <span class="kw">match </span>hamming(<span class="string">"hamming"</span>, <span class="string">"hammers"</span>) { |
| <span class="prelude-val">Ok</span>(distance) => { <span class="macro">assert_eq!</span>(<span class="number">3</span>, distance); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">panic!</span>(<span class="string">"{:?}"</span>, why); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_diff_multibyte() { |
| <span class="kw">match </span>hamming(<span class="string">"hamming"</span>, <span class="string">"h香mmüng"</span>) { |
| <span class="prelude-val">Ok</span>(distance) => { <span class="macro">assert_eq!</span>(<span class="number">2</span>, distance); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">panic!</span>(<span class="string">"{:?}"</span>, why); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_unequal_length() { |
| <span class="kw">match </span>hamming(<span class="string">"ham"</span>, <span class="string">"hamming"</span>) { |
| <span class="prelude-val">Ok</span>(<span class="kw">_</span>) => { <span class="macro">panic!</span>(); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">assert_eq!</span>(why, StrSimError::DifferentLengthArgs); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>hamming_names() { |
| <span class="kw">match </span>hamming(<span class="string">"Friedrich Nietzs"</span>, <span class="string">"Jean-Paul Sartre"</span>) { |
| <span class="prelude-val">Ok</span>(distance) => { <span class="macro">assert_eq!</span>(<span class="number">14</span>, distance); }, |
| <span class="prelude-val">Err</span>(why) => { <span class="macro">panic!</span>(<span class="string">"{:?}"</span>, why); } |
| } |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_both_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">1.0</span>, jaro(<span class="string">""</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_first_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro(<span class="string">""</span>, <span class="string">"jaro"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_second_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro(<span class="string">"distance"</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_same() { |
| <span class="macro">assert_eq!</span>(<span class="number">1.0</span>, jaro(<span class="string">"jaro"</span>, <span class="string">"jaro"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_multibyte() { |
| <span class="macro">assert!</span>((<span class="number">0.818 </span>- jaro(<span class="string">"testabctest"</span>, <span class="string">"testöঙ香test"</span>)) < <span class="number">0.001</span>); |
| <span class="macro">assert!</span>((<span class="number">0.818 </span>- jaro(<span class="string">"testöঙ香test"</span>, <span class="string">"testabctest"</span>)) < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_short() { |
| <span class="macro">assert!</span>((<span class="number">0.767 </span>- jaro(<span class="string">"dixon"</span>, <span class="string">"dicksonx"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_one_character() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro(<span class="string">"a"</span>, <span class="string">"b"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_one_and_two() { |
| <span class="macro">assert!</span>((<span class="number">0.83 </span>- jaro(<span class="string">"a"</span>, <span class="string">"ab"</span>)).abs() < <span class="number">0.01</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_two_and_one() { |
| <span class="macro">assert!</span>((<span class="number">0.83 </span>- jaro(<span class="string">"ab"</span>, <span class="string">"a"</span>)).abs() < <span class="number">0.01</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_no_transposition() { |
| <span class="macro">assert!</span>((<span class="number">0.822 </span>- jaro(<span class="string">"dwayne"</span>, <span class="string">"duane"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_diff_with_transposition() { |
| <span class="macro">assert!</span>((<span class="number">0.944 </span>- jaro(<span class="string">"martha"</span>, <span class="string">"marhta"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_names() { |
| <span class="macro">assert!</span>((<span class="number">0.392 </span>- jaro(<span class="string">"Friedrich Nietzsche"</span>, |
| <span class="string">"Jean-Paul Sartre"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_both_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">1.0</span>, jaro_winkler(<span class="string">""</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_first_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro_winkler(<span class="string">""</span>, <span class="string">"jaro-winkler"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_second_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro_winkler(<span class="string">"distance"</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_same() { |
| <span class="macro">assert_eq!</span>(<span class="number">1.0</span>, jaro_winkler(<span class="string">"Jaro-Winkler"</span>, <span class="string">"Jaro-Winkler"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_multibyte() { |
| <span class="macro">assert!</span>((<span class="number">0.89 </span>- jaro_winkler(<span class="string">"testabctest"</span>, <span class="string">"testöঙ香test"</span>)).abs() < |
| <span class="number">0.001</span>); |
| <span class="macro">assert!</span>((<span class="number">0.89 </span>- jaro_winkler(<span class="string">"testöঙ香test"</span>, <span class="string">"testabctest"</span>)).abs() < |
| <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_diff_short() { |
| <span class="macro">assert!</span>((<span class="number">0.813 </span>- jaro_winkler(<span class="string">"dixon"</span>, <span class="string">"dicksonx"</span>)).abs() < <span class="number">0.001</span>); |
| <span class="macro">assert!</span>((<span class="number">0.813 </span>- jaro_winkler(<span class="string">"dicksonx"</span>, <span class="string">"dixon"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_diff_one_character() { |
| <span class="macro">assert_eq!</span>(<span class="number">0.0</span>, jaro_winkler(<span class="string">"a"</span>, <span class="string">"b"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_diff_no_transposition() { |
| <span class="macro">assert!</span>((<span class="number">0.840 </span>- jaro_winkler(<span class="string">"dwayne"</span>, <span class="string">"duane"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_diff_with_transposition() { |
| <span class="macro">assert!</span>((<span class="number">0.961 </span>- jaro_winkler(<span class="string">"martha"</span>, <span class="string">"marhta"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_names() { |
| <span class="macro">assert!</span>((<span class="number">0.562 </span>- jaro_winkler(<span class="string">"Friedrich Nietzsche"</span>, |
| <span class="string">"Fran-Paul Sartre"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_long_prefix() { |
| <span class="macro">assert!</span>((<span class="number">0.911 </span>- jaro_winkler(<span class="string">"cheeseburger"</span>, <span class="string">"cheese fries"</span>)).abs() < |
| <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_more_names() { |
| <span class="macro">assert!</span>((<span class="number">0.868 </span>- jaro_winkler(<span class="string">"Thorkel"</span>, <span class="string">"Thorgier"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_length_of_one() { |
| <span class="macro">assert!</span>((<span class="number">0.738 </span>- jaro_winkler(<span class="string">"Dinsdale"</span>, <span class="string">"D"</span>)).abs() < <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>jaro_winkler_very_long_prefix() { |
| <span class="macro">assert!</span>((<span class="number">1.0 </span>- jaro_winkler(<span class="string">"thequickbrownfoxjumpedoverx"</span>, |
| <span class="string">"thequickbrownfoxjumpedovery"</span>)).abs() < |
| <span class="number">0.001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, levenshtein(<span class="string">""</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_same() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, levenshtein(<span class="string">"levenshtein"</span>, <span class="string">"levenshtein"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_diff_short() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, levenshtein(<span class="string">"kitten"</span>, <span class="string">"sitting"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_diff_with_space() { |
| <span class="macro">assert_eq!</span>(<span class="number">5</span>, levenshtein(<span class="string">"hello, world"</span>, <span class="string">"bye, world"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_diff_multibyte() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, levenshtein(<span class="string">"öঙ香"</span>, <span class="string">"abc"</span>)); |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, levenshtein(<span class="string">"abc"</span>, <span class="string">"öঙ香"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_diff_longer() { |
| <span class="kw">let </span>a = <span class="string">"The quick brown fox jumped over the angry dog."</span>; |
| <span class="kw">let </span>b = <span class="string">"Lorem ipsum dolor sit amet, dicta latine an eam."</span>; |
| <span class="macro">assert_eq!</span>(<span class="number">37</span>, levenshtein(a, b)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_first_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">7</span>, levenshtein(<span class="string">""</span>, <span class="string">"sitting"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>levenshtein_second_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">6</span>, levenshtein(<span class="string">"kitten"</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_levenshtein_diff_short() { |
| <span class="macro">assert!</span>((normalized_levenshtein(<span class="string">"kitten"</span>, <span class="string">"sitting"</span>) - <span class="number">0.57142</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_levenshtein_for_empty_strings() { |
| <span class="macro">assert!</span>((normalized_levenshtein(<span class="string">""</span>, <span class="string">""</span>) - <span class="number">1.0</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_levenshtein_first_empty() { |
| <span class="macro">assert!</span>(normalized_levenshtein(<span class="string">""</span>, <span class="string">"second"</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_levenshtein_second_empty() { |
| <span class="macro">assert!</span>(normalized_levenshtein(<span class="string">"first"</span>, <span class="string">""</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_levenshtein_identical_strings() { |
| <span class="macro">assert!</span>((normalized_levenshtein(<span class="string">"identical"</span>, <span class="string">"identical"</span>) - <span class="number">1.0</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, osa_distance(<span class="string">""</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_same() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, osa_distance(<span class="string">"damerau"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_first_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">7</span>, osa_distance(<span class="string">""</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_second_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">7</span>, osa_distance(<span class="string">"damerau"</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, osa_distance(<span class="string">"ca"</span>, <span class="string">"abc"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_short() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, osa_distance(<span class="string">"damerau"</span>, <span class="string">"aderua"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_reversed() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, osa_distance(<span class="string">"aderua"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_multibyte() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, osa_distance(<span class="string">"öঙ香"</span>, <span class="string">"abc"</span>)); |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, osa_distance(<span class="string">"abc"</span>, <span class="string">"öঙ香"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_unequal_length() { |
| <span class="macro">assert_eq!</span>(<span class="number">6</span>, osa_distance(<span class="string">"damerau"</span>, <span class="string">"aderuaxyz"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_unequal_length_reversed() { |
| <span class="macro">assert_eq!</span>(<span class="number">6</span>, osa_distance(<span class="string">"aderuaxyz"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_comedians() { |
| <span class="macro">assert_eq!</span>(<span class="number">5</span>, osa_distance(<span class="string">"Stewart"</span>, <span class="string">"Colbert"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_many_transpositions() { |
| <span class="macro">assert_eq!</span>(<span class="number">4</span>, osa_distance(<span class="string">"abcdefghijkl"</span>, <span class="string">"bacedfgihjlk"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_diff_longer() { |
| <span class="kw">let </span>a = <span class="string">"The quick brown fox jumped over the angry dog."</span>; |
| <span class="kw">let </span>b = <span class="string">"Lehem ipsum dolor sit amet, dicta latine an eam."</span>; |
| <span class="macro">assert_eq!</span>(<span class="number">36</span>, osa_distance(a, b)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_beginning_transposition() { |
| <span class="macro">assert_eq!</span>(<span class="number">1</span>, osa_distance(<span class="string">"foobar"</span>, <span class="string">"ofobar"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_end_transposition() { |
| <span class="macro">assert_eq!</span>(<span class="number">1</span>, osa_distance(<span class="string">"specter"</span>, <span class="string">"spectre"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>osa_distance_restricted_edit() { |
| <span class="macro">assert_eq!</span>(<span class="number">4</span>, osa_distance(<span class="string">"a cat"</span>, <span class="string">"an abct"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, damerau_levenshtein(<span class="string">""</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_same() { |
| <span class="macro">assert_eq!</span>(<span class="number">0</span>, damerau_levenshtein(<span class="string">"damerau"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_first_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">7</span>, damerau_levenshtein(<span class="string">""</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_second_empty() { |
| <span class="macro">assert_eq!</span>(<span class="number">7</span>, damerau_levenshtein(<span class="string">"damerau"</span>, <span class="string">""</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff() { |
| <span class="macro">assert_eq!</span>(<span class="number">2</span>, damerau_levenshtein(<span class="string">"ca"</span>, <span class="string">"abc"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_short() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, damerau_levenshtein(<span class="string">"damerau"</span>, <span class="string">"aderua"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_reversed() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, damerau_levenshtein(<span class="string">"aderua"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_multibyte() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, damerau_levenshtein(<span class="string">"öঙ香"</span>, <span class="string">"abc"</span>)); |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, damerau_levenshtein(<span class="string">"abc"</span>, <span class="string">"öঙ香"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_unequal_length() { |
| <span class="macro">assert_eq!</span>(<span class="number">6</span>, damerau_levenshtein(<span class="string">"damerau"</span>, <span class="string">"aderuaxyz"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_unequal_length_reversed() { |
| <span class="macro">assert_eq!</span>(<span class="number">6</span>, damerau_levenshtein(<span class="string">"aderuaxyz"</span>, <span class="string">"damerau"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_comedians() { |
| <span class="macro">assert_eq!</span>(<span class="number">5</span>, damerau_levenshtein(<span class="string">"Stewart"</span>, <span class="string">"Colbert"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_many_transpositions() { |
| <span class="macro">assert_eq!</span>(<span class="number">4</span>, damerau_levenshtein(<span class="string">"abcdefghijkl"</span>, <span class="string">"bacedfgihjlk"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_diff_longer() { |
| <span class="kw">let </span>a = <span class="string">"The quick brown fox jumped over the angry dog."</span>; |
| <span class="kw">let </span>b = <span class="string">"Lehem ipsum dolor sit amet, dicta latine an eam."</span>; |
| <span class="macro">assert_eq!</span>(<span class="number">36</span>, damerau_levenshtein(a, b)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_beginning_transposition() { |
| <span class="macro">assert_eq!</span>(<span class="number">1</span>, damerau_levenshtein(<span class="string">"foobar"</span>, <span class="string">"ofobar"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_end_transposition() { |
| <span class="macro">assert_eq!</span>(<span class="number">1</span>, damerau_levenshtein(<span class="string">"specter"</span>, <span class="string">"spectre"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>damerau_levenshtein_unrestricted_edit() { |
| <span class="macro">assert_eq!</span>(<span class="number">3</span>, damerau_levenshtein(<span class="string">"a cat"</span>, <span class="string">"an abct"</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_damerau_levenshtein_diff_short() { |
| <span class="macro">assert!</span>((normalized_damerau_levenshtein(<span class="string">"levenshtein"</span>, <span class="string">"löwenbräu"</span>) - <span class="number">0.27272</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_damerau_levenshtein_for_empty_strings() { |
| <span class="macro">assert!</span>((normalized_damerau_levenshtein(<span class="string">""</span>, <span class="string">""</span>) - <span class="number">1.0</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_damerau_levenshtein_first_empty() { |
| <span class="macro">assert!</span>(normalized_damerau_levenshtein(<span class="string">""</span>, <span class="string">"flower"</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_damerau_levenshtein_second_empty() { |
| <span class="macro">assert!</span>(normalized_damerau_levenshtein(<span class="string">"tree"</span>, <span class="string">""</span>).abs() < <span class="number">0.00001</span>); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>normalized_damerau_levenshtein_identical_strings() { |
| <span class="macro">assert!</span>((normalized_damerau_levenshtein(<span class="string">"sunglasses"</span>, <span class="string">"sunglasses"</span>) - <span class="number">1.0</span>).abs() < <span class="number">0.00001</span>); |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../" data-current-crate="strsim" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
