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(MIT License)
Copyright (c) 2013 [Ramesh Nair](http://www.hiddentao.com/)
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.

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# fast-levenshtein - Levenshtein algorithm in Javascript
[![Build Status](https://secure.travis-ci.org/hiddentao/fast-levenshtein.png)](http://travis-ci.org/hiddentao/fast-levenshtein)
[![NPM module](https://badge.fury.io/js/fast-levenshtein.png)](https://badge.fury.io/js/fast-levenshtein)
[![NPM downloads](https://img.shields.io/npm/dm/fast-levenshtein.svg?maxAge=2592000)](https://www.npmjs.com/package/fast-levenshtein)
[![Follow on Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Follow&maxAge=2592000)](https://twitter.com/hiddentao)
A Javascript implementation of the [Levenshtein algorithm](http://en.wikipedia.org/wiki/Levenshtein_distance) with locale-specific collator support. This uses [fastest-levenshtein](https://github.com/ka-weihe/fastest-levenshtein) under the hood.
## Features
* Works in node.js and in the browser.
* Locale-sensitive string comparisons if needed.
* Comprehensive test suite.
## Installation
```bash
$ npm install fast-levenshtein
```
**CDN**
The latest version is now also always available at https://npm-cdn.com/pkg/fast-levenshtein/
## Examples
**Default usage**
```javascript
var levenshtein = require('fast-levenshtein');
var distance = levenshtein.get('back', 'book'); // 2
var distance = levenshtein.get('我愛你', '我叫你'); // 1
```
**Locale-sensitive string comparisons**
It supports using [Intl.Collator](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Collator) for locale-sensitive string comparisons:
```javascript
var levenshtein = require('fast-levenshtein');
levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true});
// 1
```
## Building and Testing
To build the code and run the tests:
```bash
$ npm install -g grunt-cli
$ npm install
$ npm run build
```
## Performance
This uses [fastest-levenshtein](https://github.com/ka-weihe/fastest-levenshtein) under the hood.
## Contributing
If you wish to submit a pull request please update and/or create new tests for any changes you make and ensure the grunt build passes.
See [CONTRIBUTING.md](https://github.com/hiddentao/fast-levenshtein/blob/master/CONTRIBUTING.md) for details.
## License
MIT - see [LICENSE.md](https://github.com/hiddentao/fast-levenshtein/blob/master/LICENSE.md)

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(function() {
'use strict';
var collator;
try {
collator = (typeof Intl !== "undefined" && typeof Intl.Collator !== "undefined") ? Intl.Collator("generic", { sensitivity: "base" }) : null;
} catch (err){
console.log("Collator could not be initialized and wouldn't be used");
}
var levenshtein = require('fastest-levenshtein');
// arrays to re-use
var prevRow = [],
str2Char = [];
/**
* Based on the algorithm at http://en.wikipedia.org/wiki/Levenshtein_distance.
*/
var Levenshtein = {
/**
* Calculate levenshtein distance of the two strings.
*
* @param str1 String the first string.
* @param str2 String the second string.
* @param [options] Additional options.
* @param [options.useCollator] Use `Intl.Collator` for locale-sensitive string comparison.
* @return Integer the levenshtein distance (0 and above).
*/
get: function(str1, str2, options) {
var useCollator = (options && collator && options.useCollator);
if (useCollator) {
var str1Len = str1.length,
str2Len = str2.length;
// base cases
if (str1Len === 0) return str2Len;
if (str2Len === 0) return str1Len;
// two rows
var curCol, nextCol, i, j, tmp;
// initialise previous row
for (i=0; i<str2Len; ++i) {
prevRow[i] = i;
str2Char[i] = str2.charCodeAt(i);
}
prevRow[str2Len] = str2Len;
var strCmp;
// calculate current row distance from previous row using collator
for (i = 0; i < str1Len; ++i) {
nextCol = i + 1;
for (j = 0; j < str2Len; ++j) {
curCol = nextCol;
// substution
strCmp = 0 === collator.compare(str1.charAt(i), String.fromCharCode(str2Char[j]));
nextCol = prevRow[j] + (strCmp ? 0 : 1);
// insertion
tmp = curCol + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// deletion
tmp = prevRow[j + 1] + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// copy current col value into previous (in preparation for next iteration)
prevRow[j] = curCol;
}
// copy last col value into previous (in preparation for next iteration)
prevRow[j] = nextCol;
}
return nextCol;
}
return levenshtein.distance(str1, str2);
}
};
// amd
if (typeof define !== "undefined" && define !== null && define.amd) {
define(function() {
return Levenshtein;
});
}
// commonjs
else if (typeof module !== "undefined" && module !== null && typeof exports !== "undefined" && module.exports === exports) {
module.exports = Levenshtein;
}
// web worker
else if (typeof self !== "undefined" && typeof self.postMessage === 'function' && typeof self.importScripts === 'function') {
self.Levenshtein = Levenshtein;
}
// browser main thread
else if (typeof window !== "undefined" && window !== null) {
window.Levenshtein = Levenshtein;
}
}());

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{
"name": "fast-levenshtein",
"version": "3.0.0",
"description": "Efficient implementation of Levenshtein algorithm with locale-specific collator support.",
"main": "levenshtein.js",
"files": [
"levenshtein.js"
],
"scripts": {
"build": "grunt build",
"prepublish": "npm run build",
"benchmark": "grunt benchmark",
"test": "mocha"
},
"devDependencies": {
"chai": "~1.5.0",
"grunt": "~0.4.1",
"grunt-benchmark": "~0.2.0",
"grunt-cli": "^1.2.0",
"grunt-contrib-jshint": "~0.4.3",
"grunt-contrib-uglify": "~0.2.0",
"grunt-mocha-test": "~0.2.2",
"grunt-npm-install": "~0.1.0",
"load-grunt-tasks": "~0.6.0",
"lodash": "^4.0.1",
"mocha": "~1.9.0"
},
"repository": {
"type": "git",
"url": "https://github.com/hiddentao/fast-levenshtein.git"
},
"keywords": [
"levenshtein",
"distance",
"string"
],
"author": "Ramesh Nair <ram@hiddentao.com> (http://www.hiddentao.com/)",
"license": "MIT",
"dependencies": {
"fastest-levenshtein": "^1.0.7"
}
}