Data Structures Again

Light weight javascript data structures library

Binary Search Tree
Stack
Queue
Heap
Graph
Disjoint Set
HashSet
Red Black Balanced Search Tree
2D Tree

Installation and Usage

npm install data-structures-again

Binary Search Tree:

const { BST } = require('data-structures-again')

const bst = new BST()
bst.insert(2)
bst.insert(1)
const node = bst.search(1) // { data: 1, left: null, right: null }
bst.delete(1)

Stack

const { Stack } = require('data-structures-again')

const stack = new Stack()
stack.push(1)
stack.push(2)
const data = stack.pop() // 2
const top = stack.peek() // 1

Queue

const { Queue } = require('data-structures-again')

const queue = new Queue()
queue.enqueue(1)
queue.enqueue(2)
const data = queue.dequeue() // 1
const top = queue.peek() // 2

Heap

const { Heap } = require('data-structures-again')

const minHeap = new Heap()
minHeap.push(5)
minHeap.push(2)
minHeap.peek() // 2

const maxHeap = new Heap((a, b) => b - a)
maxHeap.push(4)
maxHeap.push(10)
maxHeap.peek() // 10

Graph

const { Graph } = require('data-structures-again')

const graph = new Graph()

/*
    a---b
    |  /    
    | /
    c
*/

graph.addVertex('a')
graph.addVertex('b')
graph.addVertex('c')

graph.addEdge('a', 'c') // add weight using graph.addEdge('a', 'c', 10)
graph.addEdge('c', 'b')
graph.addEdge('a', 'b')

const output = []
graph.dfs('a', vertex => output.push(vertex.name)) // ['a', 'c', 'b']

Disjoint Set(Union-find)

const { DisjointSet } = require('data-structures-again')

const ds = new DisjointSet()
ds.union('a', 'b')
ds.union('b', 'c')
ds.union('d', 'c')

ds.find('d') // 'a'
ds.isConnected('a', 'd') // true

HashSet

const { HashSet } = require("data-structures-again");

const set = new HashSet()
set.add(1)
set.add(2)

set.has(1) // true
set.has(2) // true
set.has(3)) // false

Red Black Balanced Search Tree:

const { RedBlackBST } = require('./index')

const tree = new RedBlackBST()
tree.set(1, 'a')
tree.set(2, 'b')

tree.get(1) // 'a'
tree.get(2) // 'b'

2d Tree

const { TwoDTree } = require('./index')

const tree = new TwoDTree()
tree.insert(4, 1)
tree.insert(2.5, 1.5)
tree.insert(2.7, 1.7)
tree.insert(4, 3)

             // x1, x2, y1, y2
tree.rangeSearch(2, 3, 1, 2))
/*
[
    [2.5, 1.5],
    [2.7, 1.7],
    [2.6, 1.6]
]
*/