Files
Tim van der Lippe 6d109a9d45 Update Mocha to 8.3.0
This also adds Python-2.0 to the list of accepted licenses.

Lastly, it fixes a bug where the package.json files were incorrectly
reordered. For the `exports` of a particular package, the order that
the entrypoints are defined in is crucial. Therefore, we should not
alter the order of entrypoints and instead maintain the originally
defined ordering. We can use an `OrderedDict` to ensure that Python
always loads the JSON files in the same order.

DISABLE_THIRD_PARTY_CHECK=NPM update
R=jacktfranklin@chromium.org

Bug: none
Change-Id: I5a309782de6015edea6ba3b502aa0db1f008d973
Reviewed-on: https://chromium-review.googlesource.com/c/devtools/devtools-frontend/+/2692909
Auto-Submit: Tim van der Lippe <tvanderlippe@chromium.org>
Reviewed-by: Jack Franklin <jacktfranklin@chromium.org>
Commit-Queue: Tim van der Lippe <tvanderlippe@chromium.org>
2021-02-17 12:08:49 +00:00
..
2019-10-21 08:08:56 +02:00
2019-10-21 08:08:56 +02:00
2021-02-17 12:08:49 +00:00
2019-10-21 08:08:56 +02:00

fast-levenshtein - Levenshtein algorithm in Javascript

Build Status NPM module NPM downloads Follow on Twitter

An efficient Javascript implementation of the Levenshtein algorithm 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).
  • Locale-sensitive string comparisions if needed.
  • Comprehensive test suite and performance benchmark.
  • Small: <1 KB minified and gzipped

Installation

node.js

Install using npm:

$ npm install fast-levenshtein

Browser

Using bower:

$ 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

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 for locale-sensitive string comparisons:

var levenshtein = require('fast-levenshtein');

levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true});
// 1

Building and Testing

To build the code and run the tests:

$ npm install -g grunt-cli
$ npm install
$ npm run build

Performance

Thanks to Titus Wormer for encouraging me to do this.

Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):

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:

$ 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 for details.

License

MIT - see LICENSE.md