webdav/sync/react/cockpit-profinet/node_modules/fast-levenshtein - 志元云盘

File OriginalPic	EditTime	Size
levenshtein.js	2025-08-08 09:44:27	3.84 KB
LICENSE.md	2025-08-08 09:44:27	1.07 KB
package.json	2025-08-08 09:44:27	998 B
README.md	2025-08-08 09:44:27	3.33 KB

# 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)
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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)

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