110 lines
6.4 KiB
JSON
110 lines
6.4 KiB
JSON
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"author": {
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"name": "Ramesh Nair",
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"email": "ram@hiddentao.com",
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"description": "Efficient implementation of Levenshtein algorithm with locale-specific collator support.",
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"distance",
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],
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"license": "MIT",
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"main": "levenshtein.js",
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"maintainers": [
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{
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"name": "hiddentao",
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"email": "ram@hiddentao.com"
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}
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"name": "fast-levenshtein",
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"readme": "# fast-levenshtein - Levenshtein algorithm in Javascript\n\n[](http://travis-ci.org/hiddentao/fast-levenshtein)\n[](https://badge.fury.io/js/fast-levenshtein)\n[](https://www.npmjs.com/package/fast-levenshtein)\n[](https://twitter.com/hiddentao)\n\nAn efficient Javascript implementation of the [Levenshtein algorithm](http://en.wikipedia.org/wiki/Levenshtein_distance) with locale-specific collator support.\n\n## Features\n\n* Works in node.js and in the browser.\n* 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)).\n* Locale-sensitive string comparisions if needed.\n* Comprehensive test suite and performance benchmark.\n* Small: <1 KB minified and gzipped\n\n## Installation\n\n### node.js\n\nInstall using [npm](http://npmjs.org/):\n\n```bash\n$ npm install fast-levenshtein\n```\n\n### Browser\n\nUsing bower:\n\n```bash\n$ bower install fast-levenshtein\n```\n\nIf you are not using any module loader system then the API will then be accessible via the `window.Levenshtein` object.\n\n## Examples\n\n**Default usage**\n\n```javascript\nvar levenshtein = require('fast-levenshtein');\n\nvar distance = levenshtein.get('back', 'book'); // 2\nvar distance = levenshtein.get('我愛你', '我叫你'); // 1\n```\n\n**Locale-sensitive string comparisons**\n\nIt supports using [Intl.Collator](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Collator) for locale-sensitive string comparisons:\n\n```javascript\nvar levenshtein = require('fast-levenshtein');\n\nlevenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true});\n// 1\n```\n\n## Building and Testing\n\nTo build the code and run the tests:\n\n```bash\n$ npm install -g grunt-cli\n$ npm install\n$ npm run build\n```\n\n## Performance\n\n_Thanks to [Titus Wormer](https://github.com/wooorm) for [encouraging me](https://github.com/hiddentao/fast-levenshtein/issues/1) to do this._\n\nBenchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):\n\n```bash\nRunning suite Implementation comparison [benchmark/speed.js]...\n>> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled)\n>> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled)\n>> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled)\n>> natural x 255 ops/sec ±0.76% (88 runs sampled)\n>> levenshtein x 180 ops/sec ±3.55% (86 runs sampled)\n>> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled)\nBenchmark done.\nFastest test is fast-levenshtein at 4.2x faster than levenshtein-component\n```\n\nYou can run this benchmark yourself by doing:\n\n```bash\n$ npm install\n$ npm run build\n$ npm run benchmark\n```\n\n## Contributing\n\nIf 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.\n\nSee [CONTRIBUTING.md](https://github.com/hiddentao/fast-levenshtein/blob/master/CONTRIBUTING.md) for details.\n\n## License\n\nMIT - see [LICENSE.md](https://github.com/hiddentao/fast-levenshtein/blob/master/LICENSE.md)\n",
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"readmeFilename": "README.md",
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"repository": {
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"type": "git",
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"url": "git+https://github.com/hiddentao/fast-levenshtein.git"
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},
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"scripts": {
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"benchmark": "grunt benchmark",
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"build": "grunt build",
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"prepublish": "npm run build",
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"test": "mocha"
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},
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"version": "2.0.6"
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}
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