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node_modules/fast-levenshtein/README.md 3.33 KB
f7563de62   Palak Handa   first commit
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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)