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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)
-
-An efficient Javascript implementation of the [Levenshtein algorithm](http://en.wikipedia.org/wiki/Levenshtein_distance) with locale-specific collator support.
-
-## Features
-
-* Works in node.js and in the browser.
-* Better performance than other implementations by not needing to store the whole matrix ([more info](http://www.codeproject.com/Articles/13525/Fast-memory-efficient-Levenshtein-algorithm)).
-* Locale-sensitive string comparisions if needed.
-* Comprehensive test suite and performance benchmark.
-* Small: <1 KB minified and gzipped
-
-## Installation
-
-### node.js
-
-Install using [npm](http://npmjs.org/):
-
-```bash
-$ npm install fast-levenshtein
-```
-
-### Browser
-
-Using bower:
-
-```bash
-$ bower install fast-levenshtein
-```
-
-If you are not using any module loader system then the API will then be accessible via the `window.Levenshtein` object.
-
-## 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
-
-_Thanks to [Titus Wormer](https://github.com/wooorm) for [encouraging me](https://github.com/hiddentao/fast-levenshtein/issues/1) to do this._
-
-Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):
-
-```bash
-Running suite Implementation comparison [benchmark/speed.js]...
->> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled)
->> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled)
->> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled)
->> natural x 255 ops/sec ±0.76% (88 runs sampled)
->> levenshtein x 180 ops/sec ±3.55% (86 runs sampled)
->> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled)
-Benchmark done.
-Fastest test is fast-levenshtein at 4.2x faster than levenshtein-component
-```
-
-You can run this benchmark yourself by doing:
-
-```bash
-$ npm install
-$ npm run build
-$ npm run benchmark
-```
-
-## 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)