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GraphLibTest.test.ts
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281 lines (244 loc) · 7.49 KB
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import Graph from "./GraphLibrary";
describe("Graph Library Tests", () => {
let graph: Graph;
beforeEach(() => {
// Before each test is called we refresh the graph object
// This allows for better testing and tracking of specific features the graph has
graph = new Graph();
});
it("should add an edge to the graph", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addEdge("A", "B", 4);
expect(graph.adjacencyList["A"]).toEqual([{ vertex: "B", weight: 4 }]);
});
it("should add a vertex to the graph", () => {
graph.addVertex("A");
expect(graph.adjacencyList["A"]).toEqual([]);
});
it("should remove an edge from the graph", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addEdge("A", "B", 4);
graph.removeEdge("A", "B");
expect(graph.adjacencyList["A"]).toEqual([]);
});
it("should perform a depth first search", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addEdge("A", "B", 4);
graph.addEdge("A", "C", 2);
graph.addEdge("B", "E", 3);
graph.addEdge("C", "F", 4);
graph.addEdge("E", "D", 3);
graph.addEdge("E", "F", 1);
graph.addEdge("D", "F", 1);
const visited = {} as { [key: string]: boolean };
graph.DFS("A", visited);
expect(Object.keys(visited)).toEqual(["A", "B", "E", "D", "F", "C"]);
});
it("should perform a breadth first search", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addEdge("A", "B", 4);
graph.addEdge("A", "C", 2);
graph.addEdge("B", "E", 3);
graph.addEdge("C", "F", 4);
graph.addEdge("E", "D", 3);
graph.addEdge("E", "F", 1);
graph.addEdge("D", "F", 1);
const visited = {} as { [key: string]: boolean };
graph.BFS("A", visited);
expect(Object.keys(visited)).toEqual(["A", "B", "C", "E", "F", "D"]);
});
it("Should perform Dijkstra's Algorithm from 1 vertex to another", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "B", 26);
graph.addEdge("A", "C", 2);
graph.addEdge("B", "E", 3);
graph.addEdge("C", "F", 8);
graph.addEdge("E", "D", 17);
graph.addEdge("E", "F", 1);
graph.addEdge("D", "F", 1);
graph.addEdge("J", "D", 5);
// Remember here that the edges are being set from the 1st parameter edge to the 2nd.
// This is important to consider when testing.
const result = graph.Dijkstra("A", "F");
expect(result).toEqual(10);
});
it("Should perform Dijkstra's Algorithm from 1 vertex to all", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "B", 26);
graph.addEdge("A", "C", 2);
graph.addEdge("B", "E", 3);
graph.addEdge("C", "F", 8);
graph.addEdge("E", "D", 17);
graph.addEdge("E", "F", 1);
graph.addEdge("D", "F", 1);
graph.addEdge("J", "D", 5);
// Remember here that the edges are being set from the 1st parameter edge to the 2nd.
// This is important to consider when testing.
const result = graph.Dijkstra("A");
expect(result).toEqual({
A: 0,
B: 26,
C: 2,
D: 46,
E: 29,
F: 10,
J: Infinity,
});
});
it("Should perform Kruskal's Algorithm for Minimum Spanning Tree", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "B", 3);
graph.addEdge("C", "A", 1);
graph.addEdge("A", "C", 10);
graph.addEdge("B", "E", 5);
graph.addEdge("C", "F", 4);
const result = graph.Kruskal();
expect(result).toEqual({
MST: [
{ start: "C", end: "A", weight: 1 },
{ start: "A", end: "B", weight: 3 },
{ start: "C", end: "F", weight: 4 },
{ start: "B", end: "E", weight: 5 },
],
weight: 13,
});
});
it("Should perform Prim's Algorithm for Minimum Spanning Tree on a Directed Graph", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "J", 2);
graph.addEdge("A", "C", 3);
graph.addEdge("B", "F", 4);
graph.addEdge("C", "B", 1);
graph.addEdge("C", "D", 5);
graph.addEdge("E", "D", 2);
graph.addEdge("F", "E", 6);
graph.addEdge("F", "J", 7);
// Remember here that the edges are being set from the 1st parameter edge to the 2nd.
// This is important to consider when testing.
// Typically Prims Algorithm is used to find the MST on a undirected, weighted graph
// In this example, the graph is not connected, but a minimum spanning tree can still be found
const result = graph.Prims("A");
expect(result).toEqual({
MST: [
{
start: "A",
end: "J",
weight: 2,
},
{
start: "A",
end: "C",
weight: 3,
},
{
start: "C",
end: "B",
weight: 1,
},
{
start: "B",
end: "F",
weight: 4,
},
{
start: "C",
end: "D",
weight: 5,
},
{
start: "F",
end: "E",
weight: 6,
},
],
minimumWeight: 21,
});
});
it("Should perform Prim's Algorithm for Minimum Spanning Tree on an Undirected Graph", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "B", 3, true);
graph.addEdge("A", "C", 1, true);
graph.addEdge("A", "J", 2, true);
graph.addEdge("B", "E", 5, true);
graph.addEdge("C", "F", 4, true);
graph.addEdge("E", "D", 10, true);
graph.addEdge("D", "C", 1, true);
const result = graph.Prims("A");
expect(result).toEqual({
MST: [
{ start: "A", end: "C", weight: 1 },
{ start: "C", end: "D", weight: 1 },
{ start: "A", end: "J", weight: 2 },
{ start: "A", end: "B", weight: 3 },
{ start: "C", end: "F", weight: 4 },
{ start: "B", end: "E", weight: 5 },
],
minimumWeight: 16,
});
});
it("Can find a path between two vertices with a displayable path", () => {
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addVertex("J");
graph.addEdge("A", "B", 3, true);
graph.addEdge("A", "C", 1, true);
graph.addEdge("A", "J", 2, true);
graph.addEdge("B", "E", 5, true);
graph.addEdge("C", "F", 4, true);
graph.addEdge("E", "D", 10, true);
graph.addEdge("D", "C", 1, true);
let path = [] as string[];
let visited = {} as { [key: string]: boolean };
graph.FindPath("A", "D", path, visited);
console.log(path.reverse());
// Console.log is used to display the path in the console
expect(path.reverse()).toContain("A");
expect(path.reverse()).toContain("D");
});
});