$ npm i @alordash/damerau-levenshtein
My realization of Damerau-Levenshtein distance algorithm.
const { distance, closest } = require('@alordash/damerau-levenshtein')
// Print Damerau-Levenshtein distance between "better" and "bteetr"
console.log(distance("better", "bteetr"));
//=> 2
// Select the most similar string to "park" from string list.
let value = closest("park", ["luck", "duck", "apkr"]);
// Result:
console.log(value.closest_string);
//=> "apkr"
console.log(value.distance);
//=> 2
You can also create calculation object using DamerauLevenshtein class:
const { DamerauLevenshtein } = require("@alordash/levenshtein");
// Calculate Damerau-Levenshtein distance between "entity" and "idenitty"
let object = new DamerauLevenshtein("entity", "idenitty");
// Print Damerau-Levenshtein distance between "entity" and "idenitty"
console.log(object.valueOf(), object.distance);
//=> 3 3
// Change strings in object to "first" and "wrist" and calculate Damerau-Levenshtein distance between them
object.strings = ["first", "wrist"];
// Print Damerau-Levenshtein distance between "first" and "wrist"
console.log(object.distance);
//=> 2
// Print calculation matrix
console.log(object.toString());
//=>
// | | w | r | i | s | t
//—————+–––+–––+–––+–––+–––+–––
// | 0 | 1 | 2 | 3 | 4 | 5
//—————+–––+–––+–––+–––+–––+–––
// f | 1 | 1 | 2 | 3 | 4 | 5
//—————+–––+–––+–––+–––+–––+–––
// i | 2 | 2 | 2 | 2 | 3 | 4
//—————+–––+–––+–––+–––+–––+–––
// r | 3 | 3 | 2 | 2 | 3 | 4
//—————+–––+–––+–––+–––+–––+–––
// s | 4 | 4 | 3 | 3 | 2 | 3
//—————+–––+–––+–––+–––+–––+–––
// t | 5 | 5 | 4 | 4 | 3 | 2
//—————+–––+–––+–––+–––+–––+–––