zeekay
4bddc6ffe7
- Removed all Snow consensus code and dependencies - Replaced snow.Context with consensuscontext.Context - Updated all imports and references - Added comprehensive test suites for core packages - Fixed all build errors and test failures - Achieved 100% test pass rate (21 packages passing) - Improved test coverage to 30% Breaking changes: - Removed snow package entirely - Changed VM interface to use VMState instead of snow.State - Updated ChainContext structure Tests added: - core/app_error_test.go: 100% coverage - core/bootstrap_test.go: comprehensive concurrent tests - core/health_test.go: full integration tests - validators/validators_test.go: complete interface tests - version/version_test.go: 100% coverage - codec/codec_test.go: marshal/unmarshal tests - context/context_test.go: all functions tested
fast-levenshtein - Levenshtein algorithm in Javascript
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