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js-lcs\r\n\r\n[![npm version](https://badge.fury.io/js/js-lcs.svg)](https://badge.fury.io/js/js-lcs)\r\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\r\n[![Build Status](https://travis-ci.org/noomorph/js-lcs.svg?branch=master)](https://travis-ci.org/noomorph/js-lcs)\r\n\r\nPartial\u003csup\u003e[1](#footnote1)\u003c/sup\u003e implementation of [Longest common substring problem](https://en.wikipedia.org/wiki/Longest_common_substring_problem) in TypeScript/JavaScript, relatively fast and memory-optimized\u003csup\u003e[2](#footnote2)\u003c/sup\u003e.\r\n\r\n## Usage\r\n\r\n### Simple\r\n\r\n```js\r\nimport { LCS } from 'js-lcs';\r\n\r\nLCS.size(\"aababcabcdabcaba\", \"eabcde\"); // 4\r\n```\r\n\r\n### Advanced\r\n\r\nYou can get more performance if you switch to typed arrays like *Uint8Array, Uint16Array*, and instantiate only one instance of LCS class:\r\n\r\n```js\r\nimport { LCS } from 'js-lcs';\r\n\r\nconst rawFiles = [\r\n  // Uint16Array of char codes in file_1.txt\r\n  // ...\r\n  // Uint16Array of char codes in file_n.txt\r\n];\r\n\r\nconst maxSize = Math.max(...rawFiles.map(f =\u003e f.length));\r\nconst lcs = new LCS({ maxSize }); // in this way you reuse once allocated memory for every lcs.size() call\r\n\r\nfor (let i = 0; i \u003c rawFiles.length; i++) {\r\n  for (let j = 0; j \u003c i; j++) {\r\n      const [a, b] = [rawFiles[j], rawFiles[i]];\r\n      console.log(lcs.size(a, b));\r\n    }\r\n  }\r\n}\r\n```\r\n\r\nPlease always make sure you don't mix types of arguments to `lcs.size()`,\r\ne.g. if you start passing typed arrays, do not pass strings anymore and vice versa.\r\nOtherwise, you risk getting `size()` function deoptimized by V8.\r\n\r\n#### Footnotes\r\n\r\n1. \u003ca name=\"footnote1\"\u003e \u003c/a\u003eAt the moment, it can calculate only size of the longest common substring, not the string itself.  \r\n2. \u003ca name=\"footnote2\"\u003e \u003c/a\u003eProcessing two 3,000-char strings takes under 2 seconds, however, memory consumption still can be improved a bit, from `O(max(r, n))` to `O(min(r, n))` with a little pull request. Performance improvements are very welcome!\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoomorph%2Fjs-lcs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoomorph%2Fjs-lcs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoomorph%2Fjs-lcs/lists"}