data-structure-typed/test/integration/avl-tree.test.ts
Revone fc0d157295 refactor: Test coverage increased to 95.63%.
Upgraded all dependencies.
Added a toVisual method while retaining the print method.
Replaced all short-circuit evaluations with logical expressions.
2024-10-30 15:30:28 +13:00

128 lines
4 KiB
TypeScript

import { AVLTree } from 'avl-tree-typed';
describe('AVL Tree Test', () => {
it('should perform various operations on a AVL Tree', () => {
const arr: [number, number][] = [
[11, 11],
[3, 3],
[15, 15],
[1, 1],
[8, 8],
[13, 13],
[16, 16],
[2, 2],
[6, 6],
[9, 9],
[12, 12],
[14, 14],
[4, 4],
[7, 7],
[10, 10],
[5, 5]
];
const tree = new AVLTree<number, number>();
for (const i of arr) tree.add(i);
const node6 = tree.get(6);
expect(node6 && tree.getHeight(node6)).toBe(3);
expect(node6 && tree.getDepth(node6)).toBe(1);
const getValueById = tree.get(10);
expect(getValueById).toBe(10);
const getMinNodeByRoot = tree.getLeftMost();
expect(getMinNodeByRoot).toBe(1);
const node15 = tree.getNode(15);
const getMinNodeBySpecificNode = node15 && tree.getLeftMost(node => node, node15);
expect(getMinNodeBySpecificNode?.key).toBe(12);
let subTreeSum = 0;
if (node15) tree.dfs(node => (subTreeSum += node.key), 'IN', 15);
expect(subTreeSum).toBe(70);
let lesserSum = 0;
tree.lesserOrGreaterTraverse(node => (lesserSum += node.key), -1, 10);
expect(lesserSum).toBe(45);
// node15 has type problem. After the uniform design, the generics of containers (DirectedGraph, BST) are based on the type of value. However, this design has a drawback: when I attempt to inherit from the Vertex or BSTNode classes, the types of the results obtained by all methods are those of the parent class.
expect(node15?.value).toBe(15);
const dfs = tree.dfs(node => node, 'IN');
expect(dfs[0].key).toBe(1);
expect(dfs[dfs.length - 1].key).toBe(16);
tree.perfectlyBalance();
const bfs = tree.bfs(node => node);
expect(tree.isPerfectlyBalanced()).toBe(true);
expect(bfs[0].key).toBe(8);
expect(bfs[bfs.length - 1].key).toBe(16);
expect(tree.delete(11)[0].deleted?.key).toBe(11);
expect(tree.isAVLBalanced()).toBe(true);
expect(node15 && tree.getHeight(node15)).toBe(2);
expect(tree.delete(1)[0].deleted?.key).toBe(1);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(4);
expect(tree.delete(4)[0].deleted?.key).toBe(4);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(4);
expect(tree.delete(10)[0].deleted?.key).toBe(10);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(15)[0].deleted?.key).toBe(15);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(5)[0].deleted?.key).toBe(5);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(13)[0].deleted?.key).toBe(13);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(3)[0].deleted?.key).toBe(3);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(8)[0].deleted?.key).toBe(8);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(3);
expect(tree.delete(6)[0].deleted?.key).toBe(6);
expect(tree.delete(6).length).toBe(0);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(2);
expect(tree.delete(7)[0].deleted?.key).toBe(7);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(2);
expect(tree.delete(9)[0].deleted?.key).toBe(9);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(2);
expect(tree.delete(14)[0].deleted?.key).toBe(14);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(1);
expect(tree.isAVLBalanced()).toBe(true);
const lastBFSIds = tree.bfs();
expect(lastBFSIds[0]).toBe(12);
expect(lastBFSIds[1]).toBe(2);
expect(lastBFSIds[2]).toBe(16);
const lastBFSNodes = tree.bfs(node => node);
expect(lastBFSNodes[0].key).toBe(12);
expect(lastBFSNodes[1].key).toBe(2);
expect(lastBFSNodes[2].key).toBe(16);
});
});