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104 lines
3.3 KiB
104 lines
3.3 KiB
# fast-levenshtein - Levenshtein algorithm in Javascript |
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[![Build Status](https://secure.travis-ci.org/hiddentao/fast-levenshtein.png)](http://travis-ci.org/hiddentao/fast-levenshtein) |
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[![NPM module](https://badge.fury.io/js/fast-levenshtein.png)](https://badge.fury.io/js/fast-levenshtein) |
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[![NPM downloads](https://img.shields.io/npm/dm/fast-levenshtein.svg?maxAge=2592000)](https://www.npmjs.com/package/fast-levenshtein) |
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[![Follow on Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Follow&maxAge=2592000)](https://twitter.com/hiddentao) |
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An efficient Javascript implementation of the [Levenshtein algorithm](http://en.wikipedia.org/wiki/Levenshtein_distance) with locale-specific collator support. |
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## Features |
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* Works in node.js and in the browser. |
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* 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)). |
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* Locale-sensitive string comparisions if needed. |
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* Comprehensive test suite and performance benchmark. |
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* Small: <1 KB minified and gzipped |
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## Installation |
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### node.js |
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Install using [npm](http://npmjs.org/): |
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```bash |
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$ npm install fast-levenshtein |
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``` |
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### Browser |
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Using bower: |
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```bash |
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$ bower install fast-levenshtein |
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``` |
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If you are not using any module loader system then the API will then be accessible via the `window.Levenshtein` object. |
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## Examples |
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**Default usage** |
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```javascript |
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var levenshtein = require('fast-levenshtein'); |
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var distance = levenshtein.get('back', 'book'); // 2 |
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var distance = levenshtein.get('我愛你', '我叫你'); // 1 |
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``` |
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**Locale-sensitive string comparisons** |
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It supports using [Intl.Collator](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Collator) for locale-sensitive string comparisons: |
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```javascript |
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var levenshtein = require('fast-levenshtein'); |
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levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true}); |
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// 1 |
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``` |
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## Building and Testing |
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To build the code and run the tests: |
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```bash |
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$ npm install -g grunt-cli |
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$ npm install |
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$ npm run build |
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``` |
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## Performance |
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_Thanks to [Titus Wormer](https://github.com/wooorm) for [encouraging me](https://github.com/hiddentao/fast-levenshtein/issues/1) to do this._ |
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Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM): |
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```bash |
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Running suite Implementation comparison [benchmark/speed.js]... |
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>> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled) |
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>> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled) |
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>> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled) |
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>> natural x 255 ops/sec ±0.76% (88 runs sampled) |
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>> levenshtein x 180 ops/sec ±3.55% (86 runs sampled) |
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>> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled) |
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Benchmark done. |
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Fastest test is fast-levenshtein at 4.2x faster than levenshtein-component |
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``` |
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You can run this benchmark yourself by doing: |
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```bash |
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$ npm install |
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$ npm run build |
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$ npm run benchmark |
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``` |
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## Contributing |
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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. |
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See [CONTRIBUTING.md](https://github.com/hiddentao/fast-levenshtein/blob/master/CONTRIBUTING.md) for details. |
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## License |
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MIT - see [LICENSE.md](https://github.com/hiddentao/fast-levenshtein/blob/master/LICENSE.md)
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