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data-structure-typed
Advanced tools
data-structure-typed
Explore our comprehensive Javascript Data Structure / TypeScript Data Structure Library, meticulously crafted to empower developers with a versatile set of essential data structures. Our library includes a wide range of data structures, such as Binary Tre
What
Brief
Javascript & TypeScript Data Structure Library.
Meticulously crafted to empower developers with a versatile set of essential data structures. Our library includes a wide range of data structures
Data Structures
| Data Structure | Unit Test | Performance Test | API Documentation | Implemented |
|---|---|---|---|---|
| Binary Tree | 
|
| Binary Tree | |
| Binary Search Tree (BST) | | | BST | |
| AVL Tree | | | AVLTree | |
| Tree Multiset | | | TreeMultiSet | |
| Segment Tree | SegmentTree | | ||
| Binary Indexed Tree | | BinaryIndexedTree | | |
| Graph | | | AbstractGraph | |
| Directed Graph | | | DirectedGraph | |
| Undirected Graph | | | UndirectedGraph | |
| Linked List | | | SinglyLinkedList | |
| Singly Linked List | | | SinglyLinkedList | |
| Doubly Linked List | | | DoublyLinkedList | |
| Queue | | | Queue | |
| Object Deque | | | ObjectDeque | |
| Array Deque | | | ArrayDeque | |
| Stack | | Stack | | |
| Coordinate Set | CoordinateSet | | ||
| Coordinate Map | CoordinateMap | | ||
| Heap | | | Heap | |
| Priority Queue | | | PriorityQueue | |
| Max Priority Queue | | | MaxPriorityQueue | |
| Min Priority Queue | | | MinPriorityQueue | |
| Trie | | Trie | |
Algorithms list only a few out, you can discover more in API docs
DFS, DFSIterative, BFS, morris, Bellman-Ford Algorithm, Dijkstra's Algorithm, Floyd-Warshall Algorithm, Tarjan's Algorithm
How
install
yarn
yarn add data-structure-typed
npm
npm install data-structure-typed
Binary Search Tree (BST) snippet
import {BST, BSTNode} from 'data-structure-typed';
const tree = new BST();
expect(tree).toBeInstanceOf(BST);
const ids = [11, 3, 15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5];
tree.addMany(ids);
expect(tree.root).toBeInstanceOf(BSTNode);
if (tree.root) expect(tree.root.id).toBe(11);
expect(tree.count).toBe(16);
expect(tree.has(6)).toBe(true);
const node6 = tree.get(6);
expect(node6 && tree.getHeight(node6)).toBe(2);
expect(node6 && tree.getDepth(node6)).toBe(3);
const nodeId10 = tree.get(10, 'id');
expect(nodeId10?.id).toBe(10);
const nodeVal9 = tree.get(9, 'val');
expect(nodeVal9?.id).toBe(9);
const nodesByCount1 = tree.getNodes(1, 'count');
expect(nodesByCount1.length).toBe(16);
const leftMost = tree.getLeftMost();
expect(leftMost?.id).toBe(1);
const node15 = tree.get(15);
const minNodeBySpecificNode = node15 && tree.getLeftMost(node15);
expect(minNodeBySpecificNode?.id).toBe(12);
const subTreeSum = node15 && tree.subTreeSum(node15);
expect(subTreeSum).toBe(70);
const lesserSum = tree.lesserSum(10);
expect(lesserSum).toBe(45);
expect(node15).toBeInstanceOf(BSTNode);
if (node15 instanceof BSTNode) {
const subTreeAdd = tree.subTreeAdd(node15, 1, 'count');
expect(subTreeAdd).toBeDefined();
}
const node11 = tree.get(11);
expect(node11).toBeInstanceOf(BSTNode);
if (node11 instanceof BSTNode) {
const allGreaterNodesAdded = tree.allGreaterNodesAdd(node11, 2, 'count');
expect(allGreaterNodesAdded).toBeDefined();
}
const dfsInorderNodes = tree.DFS('in', 'node');
expect(dfsInorderNodes[0].id).toBe(1);
expect(dfsInorderNodes[dfsInorderNodes.length - 1].id).toBe(16);
tree.balance();
expect(tree.isBalanced()).toBe(true);
const bfsNodesAfterBalanced = tree.BFS('node');
expect(bfsNodesAfterBalanced[0].id).toBe(8);
expect(bfsNodesAfterBalanced[bfsNodesAfterBalanced.length - 1].id).toBe(16);
const removed11 = tree.remove(11, true);
expect(removed11).toBeInstanceOf(Array);
expect(removed11[0]).toBeDefined();
expect(removed11[0].deleted).toBeDefined();
if (removed11[0].deleted) expect(removed11[0].deleted.id).toBe(11);
expect(tree.isAVLBalanced()).toBe(true);
expect(node15 && tree.getHeight(node15)).toBe(2);
const removed1 = tree.remove(1, true);
expect(removed1).toBeInstanceOf(Array);
expect(removed1[0]).toBeDefined();
expect(removed1[0].deleted).toBeDefined();
if (removed1[0].deleted) expect(removed1[0].deleted.id).toBe(1);
expect(tree.isAVLBalanced()).toBe(true);
expect(tree.getHeight()).toBe(4);
// The code for removing these nodes (4, 10, 15, 5, 13, 3, 8, 6, 7, 9, 14) in sequence has been omitted.
expect(tree.isAVLBalanced()).toBe(false);
const bfsIDs = tree.BFS();
expect(bfsIDs[0]).toBe(2);
expect(bfsIDs[1]).toBe(12);
expect(bfsIDs[2]).toBe(16);
const bfsNodes = tree.BFS('node');
expect(bfsNodes[0].id).toBe(2);
expect(bfsNodes[1].id).toBe(12);
expect(bfsNodes[2].id).toBe(16);
Directed Graph simple snippet
import {DirectedGraph, DirectedVertex, DirectedEdge, VertexId} from 'data-structure-typed';
let graph: DirectedGraph<DirectedVertex, DirectedEdge>;
beforeEach(() => {
graph = new DirectedGraph();
});
it('should add vertices', () => {
const vertex1 = new DirectedVertex('A');
const vertex2 = new DirectedVertex('B');
graph.addVertex(vertex1);
graph.addVertex(vertex2);
expect(graph.hasVertex(vertex1)).toBe(true);
expect(graph.hasVertex(vertex2)).toBe(true);
});
it('should add edges', () => {
const vertex1 = new DirectedVertex('A');
const vertex2 = new DirectedVertex('B');
const edge = new DirectedEdge('A', 'B');
graph.addVertex(vertex1);
graph.addVertex(vertex2);
graph.addEdge(edge);
expect(graph.hasEdge('A', 'B')).toBe(true);
expect(graph.hasEdge('B', 'A')).toBe(false);
});
it('should remove edges', () => {
const vertex1 = new DirectedVertex('A');
const vertex2 = new DirectedVertex('B');
const edge = new DirectedEdge('A', 'B');
graph.addVertex(vertex1);
graph.addVertex(vertex2);
graph.addEdge(edge);
expect(graph.removeEdge(edge)).toBe(edge);
expect(graph.hasEdge('A', 'B')).toBe(false);
});
it('should perform topological sort', () => {
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.map(v => v.id)).toEqual(['A', 'B', 'C']);
});
Directed Graph complex snippet
import {DirectedGraph, DirectedVertex, DirectedEdge, VertexId} from 'data-structure-typed';
class MyVertex extends DirectedVertex {
private _data: string;
get data(): string {
return this._data;
}
set data(value: string) {
this._data = value;
}
constructor(id: VertexId, data: string) {
super(id);
this._data = data;
}
}
class MyEdge extends DirectedEdge {
private _data: string;
get data(): string {
return this._data;
}
set data(value: string) {
this._data = value;
}
constructor(v1: VertexId, v2: VertexId, weight: number, data: string) {
super(v1, v2, weight);
this._data = data;
}
}
describe('DirectedGraph Test3', () => {
const myGraph = new DirectedGraph<MyVertex, MyEdge>();
it('should test graph operations', () => {
const vertex1 = new MyVertex(1, 'data1');
const vertex2 = new MyVertex(2, 'data2');
const vertex3 = new MyVertex(3, 'data3');
const vertex4 = new MyVertex(4, 'data4');
const vertex5 = new MyVertex(5, 'data5');
const vertex6 = new MyVertex(6, 'data6');
const vertex7 = new MyVertex(7, 'data7');
const vertex8 = new MyVertex(8, 'data8');
const vertex9 = new MyVertex(9, 'data9');
myGraph.addVertex(vertex1);
myGraph.addVertex(vertex2);
myGraph.addVertex(vertex3);
myGraph.addVertex(vertex4);
myGraph.addVertex(vertex5);
myGraph.addVertex(vertex6);
myGraph.addVertex(vertex7);
myGraph.addVertex(vertex8);
myGraph.addVertex(vertex9);
myGraph.addEdge(new MyEdge(1, 2, 10, 'edge-data1-2'));
myGraph.addEdge(new MyEdge(2, 1, 20, 'edge-data2-1'));
expect(myGraph.getEdge(1, 2)).toBeTruthy();
expect(myGraph.getEdge(2, 1)).toBeTruthy();
expect(myGraph.getEdge(1, '100')).toBeFalsy();
myGraph.removeEdgeBetween(1, 2);
expect(myGraph.getEdge(1, 2)).toBeFalsy();
myGraph.addEdge(new MyEdge(3, 1, 3, 'edge-data-3-1'));
myGraph.addEdge(new MyEdge(1, 9, 19, 'edge-data1-9'));
myGraph.addEdge(new MyEdge(9, 7, 97, 'edge-data9-7'));
myGraph.addEdge(new MyEdge(7, 9, 79, 'edge-data7-9'));
myGraph.addEdge(new MyEdge(1, 4, 14, 'edge-data1-4'));
myGraph.addEdge(new MyEdge(4, 7, 47, 'edge-data4-7'));
myGraph.addEdge(new MyEdge(1, 2, 12, 'edge-data1-2'));
myGraph.addEdge(new MyEdge(2, 3, 23, 'edge-data2-3'));
myGraph.addEdge(new MyEdge(3, 5, 35, 'edge-data3-5'));
myGraph.addEdge(new MyEdge(5, 7, 57, 'edge-data5-7'));
myGraph.addEdge(new MyEdge(7, 3, 73, 'edge-data7-3'));
const topologicalSorted = myGraph.topologicalSort();
expect(topologicalSorted).toBeNull();
const minPath1to7 = myGraph.getMinPathBetween(1, 7);
expect(minPath1to7).toBeInstanceOf(Array);
if (minPath1to7 && minPath1to7.length > 0) {
expect(minPath1to7).toHaveLength(3);
expect(minPath1to7[0]).toBeInstanceOf(MyVertex);
expect(minPath1to7[0].id).toBe(1);
expect(minPath1to7[1].id).toBe(9);
expect(minPath1to7[2].id).toBe(7);
}
const fordResult1 = myGraph.bellmanFord(1);
expect(fordResult1).toBeTruthy();
expect(fordResult1.hasNegativeCycle).toBeUndefined();
const {distMap, preMap, paths, min, minPath} = fordResult1;
expect(distMap).toBeInstanceOf(Map);
expect(distMap.size).toBe(9);
expect(distMap.get(vertex1)).toBe(0);
expect(distMap.get(vertex2)).toBe(12);
expect(distMap.get(vertex3)).toBe(35);
expect(distMap.get(vertex4)).toBe(14);
expect(distMap.get(vertex5)).toBe(70);
expect(distMap.get(vertex6)).toBe(Infinity);
expect(distMap.get(vertex7)).toBe(61);
expect(distMap.get(vertex8)).toBe(Infinity);
expect(distMap.get(vertex9)).toBe(19);
expect(preMap).toBeInstanceOf(Map);
expect(preMap.size).toBe(0);
expect(paths).toBeInstanceOf(Array);
expect(paths.length).toBe(0);
expect(min).toBe(Infinity);
expect(minPath).toBeInstanceOf(Array);
const floydResult = myGraph.floyd();
expect(floydResult).toBeTruthy();
if (floydResult) {
const {costs, predecessor} = floydResult;
expect(costs).toBeInstanceOf(Array);
expect(costs.length).toBe(9);
expect(costs[0]).toEqual([32, 12, 35, 14, 70, Infinity, 61, Infinity, 19]);
expect(costs[1]).toEqual([20, 32, 23, 34, 58, Infinity, 81, Infinity, 39]);
expect(costs[2]).toEqual([3, 15, 38, 17, 35, Infinity, 64, Infinity, 22]);
expect(costs[3]).toEqual([123, 135, 120, 137, 155, Infinity, 47, Infinity, 126]);
expect(costs[4]).toEqual([133, 145, 130, 147, 165, Infinity, 57, Infinity, 136]);
expect(costs[5]).toEqual([Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity]);
expect(costs[6]).toEqual([76, 88, 73, 90, 108, Infinity, 137, Infinity, 79]);
expect(costs[7]).toEqual([Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity, Infinity]);
expect(costs[8]).toEqual([173, 185, 170, 187, 205, Infinity, 97, Infinity, 176]);
expect(predecessor).toBeInstanceOf(Array);
expect(predecessor.length).toBe(9);
expect(predecessor[0]).toEqual([vertex2, null, vertex2, null, vertex3, null, vertex4, null, null]);
expect(predecessor[1]).toEqual([null, vertex1, null, vertex1, vertex3, null, vertex4, null, vertex1]);
expect(predecessor[5]).toEqual([null, null, null, null, null, null, null, null, null]);
expect(predecessor[7]).toEqual([null, null, null, null, null, null, null, null, null]);
expect(predecessor[8]).toEqual([vertex7, vertex7, vertex7, vertex7, vertex7, null, null, null, vertex7]);
}
const dijkstraRes12tt = myGraph.dijkstra(1, 2, true, true);
expect(dijkstraRes12tt).toBeTruthy();
if (dijkstraRes12tt) {
const {distMap, minDist, minPath, paths, preMap, seen} = dijkstraRes12tt;
expect(distMap).toBeInstanceOf(Map);
expect(distMap.size).toBe(9);
expect(distMap.get(vertex1)).toBe(0);
expect(distMap.get(vertex2)).toBe(12);
expect(distMap.get(vertex3)).toBe(Infinity);
expect(distMap.get(vertex4)).toBe(14);
expect(distMap.get(vertex5)).toBe(Infinity);
expect(distMap.get(vertex6)).toBe(Infinity);
expect(distMap.get(vertex7)).toBe(Infinity);
expect(distMap.get(vertex8)).toBe(Infinity);
expect(distMap.get(vertex9)).toBe(19);
expect(minDist).toBe(12);
expect(minPath).toBeInstanceOf(Array);
expect(minPath.length).toBe(2);
expect(minPath[0]).toBe(vertex1);
expect(minPath[1]).toBe(vertex2);
expect(paths).toBeInstanceOf(Array);
expect(paths.length).toBe(9);
expect(paths[0]).toBeInstanceOf(Array);
expect(paths[0][0]).toBe(vertex1);
expect(paths[1]).toBeInstanceOf(Array);
expect(paths[1][0]).toBe(vertex1);
expect(paths[1][1]).toBe(vertex2);
expect(paths[2]).toBeInstanceOf(Array);
expect(paths[2][0]).toBe(vertex3);
expect(paths[3]).toBeInstanceOf(Array);
expect(paths[3][0]).toBe(vertex1);
expect(paths[3][1]).toBe(vertex4);
expect(paths[4]).toBeInstanceOf(Array);
expect(paths[4][0]).toBe(vertex5);
expect(paths[5]).toBeInstanceOf(Array);
expect(paths[5][0]).toBe(vertex6);
expect(paths[6]).toBeInstanceOf(Array);
expect(paths[6][0]).toBe(vertex7);
expect(paths[7]).toBeInstanceOf(Array);
expect(paths[7][0]).toBe(vertex8);
expect(paths[8]).toBeInstanceOf(Array);
expect(paths[8][0]).toBe(vertex1);
expect(paths[8][1]).toBe(vertex9);
}
});
});
API docs
Why
Complexities
performance of Big O
| Big O Notation | Type | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements |
|---|---|---|---|---|
| O(1) | Constant | 1 | 1 | 1 |
| O(log N) | Logarithmic | 3 | 6 | 9 |
| O(N) | Linear | 10 | 100 | 1000 |
| O(N log N) | n log(n) | 30 | 600 | 9000 |
| O(N^2) | Quadratic | 100 | 10000 | 1000000 |
| O(2^N) | Exponential | 1024 | 1.26e+29 | 1.07e+301 |
| O(N!) | Factorial | 3628800 | 9.3e+157 | 4.02e+2567 |
Data Structure Complexity
| Data Structure | Access | Search | Insertion | Deletion | Comments |
|---|---|---|---|---|---|
| Array | 1 | n | n | n | |
| Stack | n | n | 1 | 1 | |
| Queue | n | n | 1 | 1 | |
| Linked List | n | n | 1 | n | |
| Hash Table | - | n | n | n | In case of perfect hash function costs would be O(1) |
| Binary Search Tree | n | n | n | n | In case of balanced tree costs would be O(log(n)) |
| B-Tree | log(n) | log(n) | log(n) | log(n) | |
| Red-Black Tree | log(n) | log(n) | log(n) | log(n) | |
| AVL Tree | log(n) | log(n) | log(n) | log(n) | |
| Bloom Filter | - | 1 | 1 | - | False positives are possible while searching |
Sorting Complexity
| Name | Best | Average | Worst | Memory | Stable | Comments |
|---|---|---|---|---|---|---|
| Bubble sort | n | n2 | n2 | 1 | Yes | |
| Insertion sort | n | n2 | n2 | 1 | Yes | |
| Selection sort | n2 | n2 | n2 | 1 | No | |
| Heap sort | n log(n) | n log(n) | n log(n) | 1 | No | |
| Merge sort | n log(n) | n log(n) | n log(n) | n | Yes | |
| Quick sort | n log(n) | n log(n) | n2 | log(n) | No | Quicksort is usually done in-place with O(log(n)) stack space |
| Shell sort | n log(n) | depends on gap sequence | n (log(n))2 | 1 | No | |
| Counting sort | n + r | n + r | n + r | n + r | Yes | r - biggest number in array |
| Radix sort | n * k | n * k | n * k | n + k | Yes | k - length of longest key |
FAQs
Javascript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary Search Tree(BST), AVL Tree, Priority Queue, Graph, Queue, Tree Multiset, Singly Linked List, Doubly Linked List, Max
The npm package data-structure-typed receives a total of 6,808 weekly downloads. As such, data-structure-typed popularity was classified as popular.
We found that data-structure-typed demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Package last updated on 22 Aug 2023
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