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Diffstat (limited to 'school/node_modules/fast-levenshtein')
-rw-r--r-- | school/node_modules/fast-levenshtein/LICENSE.md | 25 | ||||
-rw-r--r-- | school/node_modules/fast-levenshtein/README.md | 104 | ||||
-rw-r--r-- | school/node_modules/fast-levenshtein/levenshtein.js | 136 | ||||
-rw-r--r-- | school/node_modules/fast-levenshtein/package.json | 39 |
4 files changed, 304 insertions, 0 deletions
diff --git a/school/node_modules/fast-levenshtein/LICENSE.md b/school/node_modules/fast-levenshtein/LICENSE.md new file mode 100644 index 0000000..6212406 --- /dev/null +++ b/school/node_modules/fast-levenshtein/LICENSE.md @@ -0,0 +1,25 @@ +(MIT License) + +Copyright (c) 2013 [Ramesh Nair](http://www.hiddentao.com/) + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. + diff --git a/school/node_modules/fast-levenshtein/README.md b/school/node_modules/fast-levenshtein/README.md new file mode 100644 index 0000000..a778995 --- /dev/null +++ b/school/node_modules/fast-levenshtein/README.md @@ -0,0 +1,104 @@ +# 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) +[![Follow on Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Follow&maxAge=2592000)](https://twitter.com/hiddentao) + +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) diff --git a/school/node_modules/fast-levenshtein/levenshtein.js b/school/node_modules/fast-levenshtein/levenshtein.js new file mode 100644 index 0000000..dbe3628 --- /dev/null +++ b/school/node_modules/fast-levenshtein/levenshtein.js @@ -0,0 +1,136 @@ +(function() { + 'use strict'; + + var collator; + try { + collator = (typeof Intl !== "undefined" && typeof Intl.Collator !== "undefined") ? Intl.Collator("generic", { sensitivity: "base" }) : null; + } catch (err){ + console.log("Collator could not be initialized and wouldn't be used"); + } + // arrays to re-use + var prevRow = [], + str2Char = []; + + /** + * Based on the algorithm at http://en.wikipedia.org/wiki/Levenshtein_distance. + */ + var Levenshtein = { + /** + * Calculate levenshtein distance of the two strings. + * + * @param str1 String the first string. + * @param str2 String the second string. + * @param [options] Additional options. + * @param [options.useCollator] Use `Intl.Collator` for locale-sensitive string comparison. + * @return Integer the levenshtein distance (0 and above). + */ + get: function(str1, str2, options) { + var useCollator = (options && collator && options.useCollator); + + var str1Len = str1.length, + str2Len = str2.length; + + // base cases + if (str1Len === 0) return str2Len; + if (str2Len === 0) return str1Len; + + // two rows + var curCol, nextCol, i, j, tmp; + + // initialise previous row + for (i=0; i<str2Len; ++i) { + prevRow[i] = i; + str2Char[i] = str2.charCodeAt(i); + } + prevRow[str2Len] = str2Len; + + var strCmp; + if (useCollator) { + // calculate current row distance from previous row using collator + for (i = 0; i < str1Len; ++i) { + nextCol = i + 1; + + for (j = 0; j < str2Len; ++j) { + curCol = nextCol; + + // substution + strCmp = 0 === collator.compare(str1.charAt(i), String.fromCharCode(str2Char[j])); + + nextCol = prevRow[j] + (strCmp ? 0 : 1); + + // insertion + tmp = curCol + 1; + if (nextCol > tmp) { + nextCol = tmp; + } + // deletion + tmp = prevRow[j + 1] + 1; + if (nextCol > tmp) { + nextCol = tmp; + } + + // copy current col value into previous (in preparation for next iteration) + prevRow[j] = curCol; + } + + // copy last col value into previous (in preparation for next iteration) + prevRow[j] = nextCol; + } + } + else { + // calculate current row distance from previous row without collator + for (i = 0; i < str1Len; ++i) { + nextCol = i + 1; + + for (j = 0; j < str2Len; ++j) { + curCol = nextCol; + + // substution + strCmp = str1.charCodeAt(i) === str2Char[j]; + + nextCol = prevRow[j] + (strCmp ? 0 : 1); + + // insertion + tmp = curCol + 1; + if (nextCol > tmp) { + nextCol = tmp; + } + // deletion + tmp = prevRow[j + 1] + 1; + if (nextCol > tmp) { + nextCol = tmp; + } + + // copy current col value into previous (in preparation for next iteration) + prevRow[j] = curCol; + } + + // copy last col value into previous (in preparation for next iteration) + prevRow[j] = nextCol; + } + } + return nextCol; + } + + }; + + // amd + if (typeof define !== "undefined" && define !== null && define.amd) { + define(function() { + return Levenshtein; + }); + } + // commonjs + else if (typeof module !== "undefined" && module !== null && typeof exports !== "undefined" && module.exports === exports) { + module.exports = Levenshtein; + } + // web worker + else if (typeof self !== "undefined" && typeof self.postMessage === 'function' && typeof self.importScripts === 'function') { + self.Levenshtein = Levenshtein; + } + // browser main thread + else if (typeof window !== "undefined" && window !== null) { + window.Levenshtein = Levenshtein; + } +}()); + diff --git a/school/node_modules/fast-levenshtein/package.json b/school/node_modules/fast-levenshtein/package.json new file mode 100644 index 0000000..5b4736d --- /dev/null +++ b/school/node_modules/fast-levenshtein/package.json @@ -0,0 +1,39 @@ +{ + "name": "fast-levenshtein", + "version": "2.0.6", + "description": "Efficient implementation of Levenshtein algorithm with locale-specific collator support.", + "main": "levenshtein.js", + "files": [ + "levenshtein.js" + ], + "scripts": { + "build": "grunt build", + "prepublish": "npm run build", + "benchmark": "grunt benchmark", + "test": "mocha" + }, + "devDependencies": { + "chai": "~1.5.0", + "grunt": "~0.4.1", + "grunt-benchmark": "~0.2.0", + "grunt-cli": "^1.2.0", + "grunt-contrib-jshint": "~0.4.3", + "grunt-contrib-uglify": "~0.2.0", + "grunt-mocha-test": "~0.2.2", + "grunt-npm-install": "~0.1.0", + "load-grunt-tasks": "~0.6.0", + "lodash": "^4.0.1", + "mocha": "~1.9.0" + }, + "repository": { + "type": "git", + "url": "https://github.com/hiddentao/fast-levenshtein.git" + }, + "keywords": [ + "levenshtein", + "distance", + "string" + ], + "author": "Ramesh Nair <ram@hiddentao.com> (http://www.hiddentao.com/)", + "license": "MIT" +} |