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src perf: Unified all APIs, all parameters that accept node types can also accept node keys as parameters. 2023-11-09 17:47:02 +08:00
test docs: Conventional Commits of CONTRIBUTING.md, Built-in classic algorithms enriched 2023-11-08 20:25:02 +08:00
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.eslintrc.js [heap] fibonacci heap implemented. [test] big O estimate. [project] no-unused-vars config to warn 2023-10-21 01:59:10 +08:00
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CODE_OF_CONDUCT.md [pkg] config files renamed. v1.33.0 2023-09-25 11:16:04 +08:00
COMMANDS.md test coverage report supported. Code quality enhanced and support multiple environments such as ES6 (ESModule), ES5 (CommonJS), and a single file for both browser and Node.js environments (UMD). Supported for source maps. CODE-OF-CONDUCT.md, COMMANDS.md, SECURITY.md, .gitattributes added. 2023-09-22 00:53:34 +08:00
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README.md perf: Unified all APIs, all parameters that accept node types can also accept node keys as parameters. 2023-11-09 17:47:02 +08:00
SECURITY.md test coverage report supported. Code quality enhanced and support multiple environments such as ES6 (ESModule), ES5 (CommonJS), and a single file for both browser and Node.js environments (UMD). Supported for source maps. CODE-OF-CONDUCT.md, COMMANDS.md, SECURITY.md, .gitattributes added. 2023-09-22 00:53:34 +08:00
tsconfig-base.json [BST, AVL] The 'get' method follows the binary search of a BST for bug fixes during queries. [Project] The editor uses 'tsconfig.json' for code checking to be compatible with the 'test' directory, but compiles using their respective configuration files. 2023-11-04 10:00:51 +08:00
tsconfig-cjs.json [BST, AVL] The 'get' method follows the binary search of a BST for bug fixes during queries. [Project] The editor uses 'tsconfig.json' for code checking to be compatible with the 'test' directory, but compiles using their respective configuration files. 2023-11-04 10:00:51 +08:00
tsconfig-mjs.json [BST, AVL] The 'get' method follows the binary search of a BST for bug fixes during queries. [Project] The editor uses 'tsconfig.json' for code checking to be compatible with the 'test' directory, but compiles using their respective configuration files. 2023-11-04 10:00:51 +08:00
tsconfig.json [BST, AVL] The 'get' method follows the binary search of a BST for bug fixes during queries. [Project] The editor uses 'tsconfig.json' for code checking to be compatible with the 'test' directory, but compiles using their respective configuration files. 2023-11-04 10:00:51 +08:00
tsup.config.js [binary-tree] The binary tree's BFS and level-order traversal results should be the same. However, for convenience, we provide an additional method called listLevels to display traversal results in levels. 2023-10-27 22:30:52 +08:00

Data Structure Typed

NPM GitHub top language npm eslint npm package minimized gzipped size (select exports) npm bundle size npm

Data Structures of Javascript & TypeScript.

Do you envy C++ with STL, Python with collections, and Java with java.util ? Well, no need to envy anymore! JavaScript and TypeScript now have data-structure-typed.

Now you can use this library in Node.js and browser environments in CommonJS(require export.modules = ), ESModule(import export), Typescript(import export), UMD(var Queue = dataStructureTyped.Queue)

Installation and Usage

npm

npm i data-structure-typed --save

yarn

yarn add data-structure-typed
import {
  BinaryTree, Graph, Queue, Stack, PriorityQueue, BST, Trie, DoublyLinkedList,
  AVLTree, MinHeap, SinglyLinkedList, DirectedGraph, TreeMultimap,
  DirectedVertex, AVLTreeNode
} from 'data-structure-typed';

CDN

Copy the line below into the head tag in an HTML document.

<script src='https://cdn.jsdelivr.net/npm/data-structure-typed/dist/umd/data-structure-typed.min.js'></script>

Copy the code below into the script tag of your HTML, and you're good to go with your development work.

const {Heap} = dataStructureTyped;
const {
  BinaryTree, Graph, Queue, Stack, PriorityQueue, BST, Trie, DoublyLinkedList,
  AVLTree, MinHeap, SinglyLinkedList, DirectedGraph, TreeMultimap,
  DirectedVertex, AVLTreeNode
} = dataStructureTyped;

Code Snippets

Binary Search Tree (BST) snippet

TS

import {BST, BSTNode} from 'data-structure-typed';

const bst = new BST();
bst.add(11);
bst.add(3);
bst.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5]);
bst.size === 16;                // true
bst.has(6);                     // true
const node6 = bst.getNode(6);   // BSTNode
bst.getHeight(6) === 2;         // true
bst.getHeight() === 5;          // true
bst.getDepth(6) === 3;          // true

bst.getLeftMost()?.key === 1;   // true

bst.delete(6);
bst.get(6);                     // undefined
bst.isAVLBalanced();            // true
bst.bfs()[0] === 11;            // true

const objBST = new BST<{height: number, age: number}>();

objBST.add(11, { "name": "Pablo", "age": 15 });
objBST.add(3, { "name": "Kirk", "age": 1 });

objBST.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5], [
    { "name": "Alice", "age": 15 },
    { "name": "Bob", "age": 1 },
    { "name": "Charlie", "age": 8 },
    { "name": "David", "age": 13 },
    { "name": "Emma", "age": 16 },
    { "name": "Frank", "age": 2 },
    { "name": "Grace", "age": 6 },
    { "name": "Hannah", "age": 9 },
    { "name": "Isaac", "age": 12 },
    { "name": "Jack", "age": 14 },
    { "name": "Katie", "age": 4 },
    { "name": "Liam", "age": 7 },
    { "name": "Mia", "age": 10 },
    { "name": "Noah", "age": 5 }
  ]
);

objBST.delete(11);

JS

const {BST, BSTNode} = require('data-structure-typed');

const bst = new BST();
bst.add(11);
bst.add(3);
bst.addMany([15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5]);
bst.size === 16;                // true
bst.has(6);                     // true
const node6 = bst.getNode(6);
bst.getHeight(6) === 2;         // true
bst.getHeight() === 5;          // true
bst.getDepth(6) === 3;          // true
const leftMost = bst.getLeftMost();
leftMost?.key === 1;            // true

bst.delete(6);
bst.get(6);                     // undefined
bst.isAVLBalanced();            // true or false
const bfsIDs = bst.bfs();
bfsIDs[0] === 11;               // true

AVLTree snippet

TS

import {AVLTree} from 'data-structure-typed';

const avlTree = new AVLTree();
avlTree.addMany([11, 3, 15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5])
avlTree.isAVLBalanced();    // true
avlTree.delete(10);
avlTree.isAVLBalanced();    // true

JS

const {AVLTree} = require('data-structure-typed');

const avlTree = new AVLTree();
avlTree.addMany([11, 3, 15, 1, 8, 13, 16, 2, 6, 9, 12, 14, 4, 7, 10, 5])
avlTree.isAVLBalanced();    // true
avlTree.delete(10);
avlTree.isAVLBalanced();    // true

Directed Graph simple snippet

TS or JS

import {DirectedGraph} from 'data-structure-typed';

const graph = new DirectedGraph();

graph.addVertex('A');
graph.addVertex('B');

graph.hasVertex('A');       // true
graph.hasVertex('B');       // true
graph.hasVertex('C');       // false

graph.addEdge('A', 'B');
graph.hasEdge('A', 'B');    // true
graph.hasEdge('B', 'A');    // false

graph.deleteEdgeSrcToDest('A', 'B');
graph.hasEdge('A', 'B');    // false

graph.addVertex('C');

graph.addEdge('A', 'B');
graph.addEdge('B', 'C');

const topologicalOrderKeys = graph.topologicalSort(); // ['A', 'B', 'C']

Undirected Graph snippet

TS or JS

import {UndirectedGraph} from 'data-structure-typed';

const graph = new UndirectedGraph();
graph.addVertex('A');
graph.addVertex('B');
graph.addVertex('C');
graph.addVertex('D');
graph.deleteVertex('C');
graph.addEdge('A', 'B');
graph.addEdge('B', 'D');

const dijkstraResult = graph.dijkstra('A');
Array.from(dijkstraResult?.seen ?? []).map(vertex => vertex.key) // ['A', 'B', 'D']

Built-in classic algorithms

Algorithm Function Description Iteration Type
Binary Tree DFS Traverse a binary tree in a depth-first manner, starting from the root node, first visiting the left subtree, and then the right subtree, using recursion. Recursion + Iteration
Binary Tree BFS Traverse a binary tree in a breadth-first manner, starting from the root node, visiting nodes level by level from left to right. Iteration
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
Binary Tree Morris Morris traversal is an in-order traversal algorithm for binary trees with O(1) space complexity. It allows tree traversal without additional stack or 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

API docs & Examples

API Docs

Live Examples

Examples Repository

Data Structures

Data Structure Unit Test Performance Test API Documentation Implemented
Binary Tree Binary Tree
Binary Search Tree (BST) BST
AVL Tree AVLTree
Red Black Tree RedBlackTree
Tree Multiset TreeMultimap
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

Standard library data structure comparison

Data Structure Typed C++ STL java.util Python collections
DoublyLinkedList<E> list<T> LinkedList<E> deque
SinglyLinkedList<E> - - -
Array<E> vector<T> ArrayList<E> list
Queue<E> queue<T> Queue<E> -
Deque<E> deque<T> - -
PriorityQueue<E> priority_queue<T> PriorityQueue<E> -
Heap<E> priority_queue<T> PriorityQueue<E> heapq
Stack<E> stack<T> Stack<E> -
Set<E> set<T> HashSet<E> set
Map<K, V> map<K, V> HashMap<K, V> dict
- unordered_set<T> HashSet<E> -
HashMap<K, V> unordered_map<K, V> HashMap<K, V> defaultdict
Map<K, V> - - OrderedDict
BinaryTree<K, V> - - -
BST<K, V> - - -
TreeMultimap<K, V> multimap<K, V> - -
AVLTree<E> - TreeSet<E> -
AVLTree<K, V> - TreeMap<K, V> -
AVLTree<E> set TreeSet<E> -
Trie - - -
- multiset<T> - -
DirectedGraph<V, E> - - -
UndirectedGraph<V, E> - - -
- unordered_multiset - Counter
- - LinkedHashSet<E> -
- - LinkedHashMap<K, V> -
- unordered_multimap<K, V> - -
- bitset<N> - -

Code design

Adhere to ES6 standard naming conventions for APIs.

Standardize API conventions by using 'add' and 'delete' for element manipulation methods in all data structures.

Opt for concise and clear method names, avoiding excessive length while ensuring explicit intent.

Object-oriented programming(OOP)

By strictly adhering to object-oriented design (BinaryTree -> BST -> AVLTree -> TreeMultimap), you can seamlessly inherit the existing data structures to implement the customized ones you need. Object-oriented design stands as the optimal approach to data structure design.

Benchmark

avl-tree
test nametime taken (ms)executions per secsample deviation
10,000 add randomly31.9531.302.69e-4
10,000 add & delete randomly69.1814.458.01e-4
10,000 addMany41.6224.032.25e-4
10,000 get27.6736.131.96e-4
binary-tree
test nametime taken (ms)executions per secsample deviation
1,000 add randomly12.2981.389.60e-5
1,000 add & delete randomly15.6064.111.04e-4
1,000 addMany10.3097.049.16e-5
1,000 get18.0255.502.21e-4
1,000 dfs175.425.700.00
1,000 bfs55.7117.952.56e-4
1,000 morris38.2926.112.10e-4
bst
test nametime taken (ms)executions per secsample deviation
10,000 add randomly30.5532.732.83e-4
10,000 add & delete randomly69.2214.457.57e-4
10,000 addMany29.5233.883.69e-4
10,000 get28.7134.832.69e-4
rb-tree
test nametime taken (ms)executions per secsample deviation
100,000 add randomly85.6311.680.00
100,000 add & delete randomly181.315.520.01
100,000 getNode91.7710.905.02e-4
directed-graph
test nametime taken (ms)executions per secsample deviation
1,000 addVertex0.109889.321.21e-6
1,000 addEdge5.97167.631.09e-4
1,000 getVertex0.052.17e+44.36e-7
1,000 getEdge23.7342.140.00
tarjan225.104.440.01
tarjan all233.474.280.02
topologicalSort183.965.440.00
heap
test nametime taken (ms)executions per secsample deviation
10,000 add & pop4.61216.994.19e-5
10,000 fib add & pop354.792.820.00
doubly-linked-list
test nametime taken (ms)executions per secsample deviation
1,000,000 unshift210.074.760.03
1,000,000 unshift & shift174.445.730.04
1,000,000 insertBefore355.362.810.10
singly-linked-list
test nametime taken (ms)executions per secsample deviation
10,000 push & pop220.474.540.01
10,000 insertBefore252.593.960.00
max-priority-queue
test nametime taken (ms)executions per secsample deviation
10,000 refill & poll11.7285.322.97e-4
deque
test nametime taken (ms)executions per secsample deviation
1,000,000 push233.904.280.07
1,000,000 shift25.4039.370.00
queue
test nametime taken (ms)executions per secsample deviation
1,000,000 push43.5422.970.00
1,000,000 push & shift83.9911.910.00
trie
test nametime taken (ms)executions per secsample deviation
100,000 push49.1720.340.01
100,000 getWords88.8411.260.01