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graph-typed

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![NPM](https://img.shields.io/npm/l/graph-typed) ![GitHub top language](https://img.shields.io/github/languages/top/zrwusa/data-structure-typed) ![npm](https://img.shields.io/npm/dw/graph-typed) ![eslint](https://aleen42.github.io/badges/src/eslint.svg) ![npm bundle size](https://img.shields.io/bundlephobia/minzip/graph-typed) ![npm bundle size](https://img.shields.io/bundlephobia/min/graph-typed) ![npm](https://img.shields.io/npm/v/graph-typed) # What ## Brief This is a standalone Graph data structure from the data-structure-typed collection. If you wish to access more data structures or advanced features, you can transition to directly installing the complete [data-structure-typed](https://www.npmjs.com/package/data-structure-typed) package # How ## install ### npm ```bash npm i graph-typed --save ``` ### yarn ```bash yarn add graph-typed ``` ### snippet #### TS ##### DirectedGraph ```typescript import {DirectedGraph, DirectedVertex, DirectedEdge} from 'data-structure-typed'; // /* or if you prefer */ import {DirectedGraph, DirectedVertex, DirectedEdge} from 'graph-typed'; const graph = new DirectedGraph(); const vertexA = new DirectedVertex('A'); const vertexB = new DirectedVertex('B'); const vertexC = new DirectedVertex('C'); const edgeAB = new DirectedEdge('A', 'B'); const edgeBC = new DirectedEdge('B', 'C'); graph.addVertex(vertexA); graph.addVertex(vertexB); graph.addVertex(vertexC); graph.addEdge(edgeAB); graph.addEdge(edgeBC); const topologicalOrder = graph.topologicalSort(); if (topologicalOrder) expect(topologicalOrder).toEqual(['A', 'B', 'C']) ``` ##### MapGraph ```typescript import {MapGraph, MapVertex} from 'data-structure-typed'; // /* or if you prefer */ import {MapGraph, MapVertex} from 'graph-typed'; const mapGraph = new MapGraph([5.500338, 100.173665]); mapGraph.addVertex(new MapVertex('Surin', 5.466724, 100.274805)); mapGraph.addVertex(new MapVertex('Batu Feringgi Beach', 5.475141, 100.276670)); mapGraph.addVertex(new MapVertex('Lotus', 5.459044, 100.308767)); mapGraph.addVertex(new MapVertex('The Breeza', 5.454197, 100.307859)); mapGraph.addVertex(new MapVertex('Hard Rock Hotel', 5.467850, 100.241876)); mapGraph.addVertex(new MapVertex('Mira', 5.456749, 100.286650)); mapGraph.addVertex(new MapVertex('Penang Bible Church', 5.428683, 100.314825)); mapGraph.addVertex(new MapVertex('Queensbay', 5.332760, 100.306651)); mapGraph.addVertex(new MapVertex('Saanen Goat Farm', 5.405738, 100.207699)); mapGraph.addVertex(new MapVertex('Trinity Auto', 5.401126, 100.303739)); mapGraph.addVertex(new MapVertex('Penang Airport', 5.293185, 100.265772)); mapGraph.addEdge('Surin', 'Lotus', 4.7); mapGraph.addEdge('Lotus', 'The Breeza', 1); mapGraph.addEdge('Batu Feringgi Beach', 'Hard Rock Hotel', 5.2); mapGraph.addEdge('Surin', 'Mira', 2.8); mapGraph.addEdge('Mira', 'Penang Bible Church', 7.0); mapGraph.addEdge('Lotus', 'Penang Bible Church', 5.7); mapGraph.addEdge('Penang Bible Church', 'Queensbay', 13.9); mapGraph.addEdge('Hard Rock Hotel', 'Saanen Goat Farm', 18.5); mapGraph.addEdge('The Breeza', 'Trinity Auto', 9.1); mapGraph.addEdge('Trinity Auto', 'Saanen Goat Farm', 26.3); mapGraph.addEdge('The Breeza', 'Penang Airport', 24.8); mapGraph.addEdge('Penang Airport', 'Saanen Goat Farm', 21.2); const expected1 = ['Surin', 'Lotus', 'The Breeza', 'Trinity Auto', 'Saanen Goat Farm']; const minPathBetween = mapGraph.getMinPathBetween('Surin', 'Saanen Goat Farm'); expect(minPathBetween?.map(v => v.id)).toEqual(expected1); const surinToSaanenGoatFarmDij = mapGraph.dijkstra('Surin', 'Saanen Goat Farm', true, true); expect(surinToSaanenGoatFarmDij?.minPath.map(v => v.id)).toEqual(expected1); expect(surinToSaanenGoatFarmDij?.minDist).toBe(41.1); mapGraph.addEdge('Surin', 'Batu Feringgi Beach', 1.5); const expected2 = ['Surin', 'Batu Feringgi Beach', 'Hard Rock Hotel', 'Saanen Goat Farm']; const minPathBetweenViaBFB = mapGraph.getMinPathBetween('Surin', 'Saanen Goat Farm', true); expect(minPathBetweenViaBFB?.map(v => v.id)).toEqual(expected2); const surinToSaanenGoatFarmViaDij = mapGraph.dijkstra('Surin', 'Saanen Goat Farm', true, true); expect(surinToSaanenGoatFarmViaDij?.minPath.map(v => v.id)).toEqual(expected2); expect(surinToSaanenGoatFarmViaDij?.minDist).toBe(25.2); ``` #### JS ##### DirectedGraph ```typescript const {DirectedGraph, DirectedVertex, DirectedEdge} = require('data-structure-typed'); // /* or if you prefer */ const {DirectedGraph, DirectedVertex, DirectedEdge} = require('graph-typed'); const graph = new DirectedGraph(); const vertexA = new DirectedVertex('A'); const vertexB = new DirectedVertex('B'); const vertexC = new DirectedVertex('C'); const edgeAB = new DirectedEdge('A', 'B'); const edgeBC = new DirectedEdge('B', 'C'); graph.addVertex(vertexA); graph.addVertex(vertexB); graph.addVertex(vertexC); graph.addEdge(edgeAB); graph.addEdge(edgeBC); const topologicalOrder = graph.topologicalSort(); if (topologicalOrder) expect(topologicalOrder).toEqual(['A', 'B', 'C']) ``` ##### MapGraph ```javascript const {MapGraph, MapVertex} = require('data-structure-typed'); // /* or if you prefer */ const {MapGraph, MapVertex} = require('graph-typed'); const mapGraph = new MapGraph([5.500338, 100.173665]); mapGraph.addVertex(new MapVertex('Surin', 5.466724, 100.274805)); mapGraph.addVertex(new MapVertex('Batu Feringgi Beach', 5.475141, 100.276670)); mapGraph.addVertex(new MapVertex('Lotus', 5.459044, 100.308767)); mapGraph.addVertex(new MapVertex('The Breeza', 5.454197, 100.307859)); mapGraph.addVertex(new MapVertex('Hard Rock Hotel', 5.467850, 100.241876)); mapGraph.addVertex(new MapVertex('Mira', 5.456749, 100.286650)); mapGraph.addVertex(new MapVertex('Penang Bible Church', 5.428683, 100.314825)); mapGraph.addVertex(new MapVertex('Queensbay', 5.332760, 100.306651)); mapGraph.addVertex(new MapVertex('Saanen Goat Farm', 5.405738, 100.207699)); mapGraph.addVertex(new MapVertex('Trinity Auto', 5.401126, 100.303739)); mapGraph.addVertex(new MapVertex('Penang Airport', 5.293185, 100.265772)); mapGraph.addEdge('Surin', 'Lotus', 4.7); mapGraph.addEdge('Lotus', 'The Breeza', 1); mapGraph.addEdge('Batu Feringgi Beach', 'Hard Rock Hotel', 5.2); mapGraph.addEdge('Surin', 'Mira', 2.8); mapGraph.addEdge('Mira', 'Penang Bible Church', 7.0); mapGraph.addEdge('Lotus', 'Penang Bible Church', 5.7); mapGraph.addEdge('Penang Bible Church', 'Queensbay', 13.9); mapGraph.addEdge('Hard Rock Hotel', 'Saanen Goat Farm', 18.5); mapGraph.addEdge('The Breeza', 'Trinity Auto', 9.1); mapGraph.addEdge('Trinity Auto', 'Saanen Goat Farm', 26.3); mapGraph.addEdge('The Breeza', 'Penang Airport', 24.8); mapGraph.addEdge('Penang Airport', 'Saanen Goat Farm', 21.2); const expected1 = ['Surin', 'Lotus', 'The Breeza', 'Trinity Auto', 'Saanen Goat Farm']; const minPathBetween = mapGraph.getMinPathBetween('Surin', 'Saanen Goat Farm'); expect(minPathBetween?.map(v => v.id)).toEqual(expected1); const surinToSaanenGoatFarmDij = mapGraph.dijkstra('Surin', 'Saanen Goat Farm', true, true); expect(surinToSaanenGoatFarmDij?.minPath.map(v => v.id)).toEqual(expected1); expect(surinToSaanenGoatFarmDij?.minDist).toBe(41.1); mapGraph.addEdge('Surin', 'Batu Feringgi Beach', 1.5); const expected2 = ['Surin', 'Batu Feringgi Beach', 'Hard Rock Hotel', 'Saanen Goat Farm']; const minPathBetweenViaBFB = mapGraph.getMinPathBetween('Surin', 'Saanen Goat Farm', true); expect(minPathBetweenViaBFB?.map(v => v.id)).toEqual(expected2); const surinToSaanenGoatFarmViaDij = mapGraph.dijkstra('Surin', 'Saanen Goat Farm', true, true); expect(surinToSaanenGoatFarmViaDij?.minPath.map(v => v.id)).toEqual(expected2); expect(surinToSaanenGoatFarmViaDij?.minDist).toBe(25.2); ``` [//]: # (No deletion!!! Start of Example Replace Section) [//]: # (No deletion!!! End of Example Replace Section) ## API docs & Examples [API Docs](https://data-structure-typed-docs.vercel.app) [Live Examples](https://vivid-algorithm.vercel.app) <a href="https://github.com/zrwusa/vivid-algorithm" target="_blank">Examples Repository</a> ## Data Structures <table> <thead> <tr> <th>Data Structure</th> <th>Unit Test</th> <th>Performance Test</th> <th>API Docs</th> </tr> </thead> <tbody> <tr> <td>Graph</td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><a href="https://data-structure-typed-docs.vercel.app/classes/AbstractGraph.html"><span>AbstractGraph</span></a></td> </tr> <tr> <td>Directed Graph</td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><a href="https://data-structure-typed-docs.vercel.app/classes/DirectedGraph.html"><span>DirectedGraph</span></a></td> </tr> <tr> <td>Undirected Graph</td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><img src="https://raw.githubusercontent.com/zrwusa/assets/master/images/data-structure-typed/assets/tick.svg" alt=""></td> <td><a href="https://data-structure-typed-docs.vercel.app/classes/UndirectedGraph.html"><span>UndirectedGraph</span></a></td> </tr> </tbody> </table> ## Standard library data structure comparison <table> <thead> <tr> <th>Data Structure Typed</th> <th>C++ STL</th> <th>java.util</th> <th>Python collections</th> </tr> </thead> <tbody> <tr> <td>DirectedGraph&lt;V, E&gt;</td> <td>-</td> <td>-</td> <td>-</td> </tr> <tr> <td>UndirectedGraph&lt;V, E&gt;</td> <td>-</td> <td>-</td> <td>-</td> </tr> </tbody> </table> ## Benchmark [//]: # (No deletion!!! Start of Replace Section) <div class="json-to-html-collapse clearfix 0"> <div class='collapsible level0' ><span class='json-to-html-label'>directed-graph</span></div> <div class="content"><table style="display: table; width:100%; table-layout: fixed;"><tr><th>test name</th><th>time taken (ms)</th><th>executions per sec</th><th>sample deviation</th></tr><tr><td>1,000 addVertex</td><td>0.10</td><td>9534.93</td><td>8.72e-7</td></tr><tr><td>1,000 addEdge</td><td>6.30</td><td>158.67</td><td>0.00</td></tr><tr><td>1,000 getVertex</td><td>0.05</td><td>2.16e+4</td><td>3.03e-7</td></tr><tr><td>1,000 getEdge</td><td>22.31</td><td>44.82</td><td>0.00</td></tr><tr><td>tarjan</td><td>210.90</td><td>4.74</td><td>0.01</td></tr><tr><td>tarjan all</td><td>214.72</td><td>4.66</td><td>0.01</td></tr><tr><td>topologicalSort</td><td>172.52</td><td>5.80</td><td>0.00</td></tr></table></div> </div> [//]: # (No deletion!!! End of Replace Section) ## Built-in classic algorithms <table> <thead> <tr> <th>Algorithm</th> <th>Function Description</th> <th>Iteration Type</th> </tr> </thead> <tbody> <tr> <td>Graph DFS</td> <td>Traverse a graph in a depth-first manner, starting from a given node, exploring along one path as deeply as possible, and backtracking to explore other paths. Used for finding connected components, paths, etc. </td> <td>Recursion + Iteration</td> </tr> <tr> <td>Graph BFS</td> <td>Traverse a graph in a breadth-first manner, starting from a given node, first visiting nodes directly connected to the starting node, and then expanding level by level. Used for finding shortest paths, etc. </td> <td>Recursion + Iteration</td> </tr> <tr> <td>Graph Tarjan's Algorithm</td> <td>Find strongly connected components in a graph, typically implemented using depth-first search.</td> <td>Recursion</td> </tr> <tr> <td>Graph Bellman-Ford Algorithm</td> <td>Finding the shortest paths from a single source, can handle negative weight edges</td> <td>Iteration</td> </tr> <tr> <td>Graph Dijkstra's Algorithm</td> <td>Finding the shortest paths from a single source, cannot handle negative weight edges</td> <td>Iteration</td> </tr> <tr> <td>Graph Floyd-Warshall Algorithm</td> <td>Finding the shortest paths between all pairs of nodes</td> <td>Iteration</td> </tr> <tr> <td>Graph getCycles</td> <td>Find all cycles in a graph or detect the presence of cycles.</td> <td>Recursion</td> </tr> <tr> <td>Graph getCutVertexes</td> <td>Find cut vertices in a graph, which are nodes that, when removed, increase the number of connected components in the graph. </td> <td>Recursion</td> </tr> <tr> <td>Graph getSCCs</td> <td>Find strongly connected components in a graph, which are subgraphs where any two nodes can reach each other. </td> <td>Recursion</td> </tr> <tr> <td>Graph getBridges</td> <td>Find bridges in a graph, which are edges that, when removed, increase the number of connected components in the graph. </td> <td>Recursion</td> </tr> <tr> <td>Graph topologicalSort</td> <td>Perform topological sorting on a directed acyclic graph (DAG) to find a linear order of nodes such that all directed edges go from earlier nodes to later nodes. </td> <td>Recursion</td> </tr> </tbody> </table> ## Software Engineering Design Standards <table> <tr> <th>Principle</th> <th>Description</th> </tr> <tr> <td>Practicality</td> <td>Follows ES6 and ESNext standards, offering unified and considerate optional parameters, and simplifies method names.</td> </tr> <tr> <td>Extensibility</td> <td>Adheres to OOP (Object-Oriented Programming) principles, allowing inheritance for all data structures.</td> </tr> <tr> <td>Modularization</td> <td>Includes data structure modularization and independent NPM packages.</td> </tr> <tr> <td>Efficiency</td> <td>All methods provide time and space complexity, comparable to native JS performance.</td> </tr> <tr> <td>Maintainability</td> <td>Follows open-source community development standards, complete documentation, continuous integration, and adheres to TDD (Test-Driven Development) patterns.</td> </tr> <tr> <td>Testability</td> <td>Automated and customized unit testing, performance testing, and integration testing.</td> </tr> <tr> <td>Portability</td> <td>Plans for porting to Java, Python, and C++, currently achieved to 80%.</td> </tr> <tr> <td>Reusability</td> <td>Fully decoupled, minimized side effects, and adheres to OOP.</td> </tr> <tr> <td>Security</td> <td>Carefully designed security for member variables and methods. Read-write separation. Data structure software does not need to consider other security aspects.</td> </tr> <tr> <td>Scalability</td> <td>Data structure software does not involve load issues.</td> </tr> </table>