graph-typed
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1.52.0 • Public • Published

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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 package

How

install

npm

npm i graph-typed --save

yarn

yarn add graph-typed

methods

Directed Graph directed-graph Undirected Graph undirected-graph

snippet

TS

DirectedGraph
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
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
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
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);

API docs & Examples

API Docs

Live Examples

Examples Repository

Data Structures

Data Structure Unit Test Performance Test API Docs
Graph AbstractGraph
Directed Graph DirectedGraph
Undirected Graph UndirectedGraph

Standard library data structure comparison

Data Structure Typed C++ STL java.util Python collections
DirectedGraph<V, E> - - -
UndirectedGraph<V, E> - - -

Benchmark

directed-graph
test name time taken (ms) executions per sec sample deviation
1,000 addVertex 0.10 9534.93 8.72e-7
1,000 addEdge 6.30 158.67 0.00
1,000 getVertex 0.05 2.16e+4 3.03e-7
1,000 getEdge 22.31 44.82 0.00
tarjan 210.90 4.74 0.01
tarjan all 214.72 4.66 0.01
topologicalSort 172.52 5.80 0.00

Built-in classic algorithms

Algorithm Function Description Iteration Type
Graph DFS 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. Recursion + Iteration
Graph BFS 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. Recursion + Iteration
Graph Tarjan's Algorithm Find strongly connected components in a graph, typically implemented using depth-first search. Recursion
Graph Bellman-Ford Algorithm Finding the shortest paths from a single source, can handle negative weight edges Iteration
Graph Dijkstra's Algorithm Finding the shortest paths from a single source, cannot handle negative weight edges Iteration
Graph Floyd-Warshall Algorithm Finding the shortest paths between all pairs of nodes Iteration
Graph getCycles Find all cycles in a graph or detect the presence of cycles. Recursion
Graph getCutVertexes Find cut vertices in a graph, which are nodes that, when removed, increase the number of connected components in the graph. Recursion
Graph getSCCs Find strongly connected components in a graph, which are subgraphs where any two nodes can reach each other. Recursion
Graph getBridges Find bridges in a graph, which are edges that, when removed, increase the number of connected components in the graph. Recursion
Graph topologicalSort 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. Recursion

Software Engineering Design Standards

Principle Description
Practicality Follows ES6 and ESNext standards, offering unified and considerate optional parameters, and simplifies method names.
Extensibility Adheres to OOP (Object-Oriented Programming) principles, allowing inheritance for all data structures.
Modularization Includes data structure modularization and independent NPM packages.
Efficiency All methods provide time and space complexity, comparable to native JS performance.
Maintainability Follows open-source community development standards, complete documentation, continuous integration, and adheres to TDD (Test-Driven Development) patterns.
Testability Automated and customized unit testing, performance testing, and integration testing.
Portability Plans for porting to Java, Python, and C++, currently achieved to 80%.
Reusability Fully decoupled, minimized side effects, and adheres to OOP.
Security Carefully designed security for member variables and methods. Read-write separation. Data structure software does not need to consider other security aspects.
Scalability Data structure software does not involve load issues.

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Install

npm i graph-typed

Weekly Downloads

74

Version

1.52.0

License

MIT

Unpacked Size

2.93 MB

Total Files

358

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