JavaScript Data Structures

Data Structures made by Vanilla JS.

Install

$ npm install @ahmeds.gaafer/js-data-structures --save

Data Structure list:

• Singly Linked List
• Doubly Linked List
• Queue
• Stack
• Heap
• Graph

Usage

Singly Linked List:

const { SinglyLinkedList } = require('@ahmeds.gaafer/js-data-structures');

// The constructor can accept an array as an input and it will transform the array to the linked list
const arr = [1, 2, 3];
const list = new SinglyLinkedList(arr);

list.push(1); 

list.view();

// You can chain methods that does not return a value

list.popStart().pop().view(); // vaild

list.getHead().view(); // invalid

functions:

• .insert(data, pos) => Insert data to certian position.
• .pushStart(data) => Insert data at the head position.
• .push(data) => Insert data at tail position.
• .delete(pos) => Delete element at a certian position.
• .pop() => Delete element from the end of the tail.
• .popStart() => Delte element from the head.
• .getHead() => Returns a copy of the head node.
• .getTail() => Returns a copy of the tail node.
• .view() => Prints a visual dispaly of the linked list.
• .toArray() => Returns the linked list as an array

Doubly Linked List:

const { DoublyLinkedList } = require('@ahmeds.gaafer/js-data-structures');

// The constructor can accept an array as an input and it will transform the array to the linked list
const arr = [1, 2, 3];
const list = new DoublyLinkedList(arr);

list.push(1); 

list.view();

// You can chain methods that does not return a value

list.popStart().pop().view(); // vaild

list.getHead().view(); // invalid

functions:

• .insert(data, pos) => Insert data to certian position.
• .pushStart(data) => Insert data at the head position.
• .push(data) => Insert data at tail position.
• .delete(pos) => Delete element at a certian position.
• .pop() => Delete element from the end of the tail.
• .popStart() => Delte element from the head.
• .getHead() => Returns a copy of the head node.
• .getTail() => Returns a copy of the tail node.
• .view() => Prints a visual dispaly of the linked list.
• .toArray() => Returns the linked list as an array.

Queue:

const { Queue } = require('@ahmeds.gaafer/js-data-structures');

// The constructor can accept an array as an input and it will transform the array to the Queue
const arr = [1, 2, 3];
const queue = new Queue(arr);

queue.enqueue(5);
queue.deqeue();

// You can chain methods that does not return a value
queue.enqueue(5).dequeue().view(); //vaild

queue.peak().view(); // invalid

functions:

• .enqueue(data) => Add data to the end of the queue.
• .dequeue() => Remove first element of the queue.
• .peak() => Returns the first element in the queue.
• .getSize() => Returns the size of the queue.
• .view() => Prints a visual dispaly of the queue.

Stack:

const { Stack } = require('@ahmeds.gaafer/js-data-structures');
// The constructor can accept an array as an input and it will transform the array to the Heap

const arr = [1, 2, 3];

const stack = new Stack(arr);

stack.push(1);


// You can chain methods that does not return a value
stack.push(1).push(2).pop() // vaild
stack.peak().push(1); // invalid

functions:

• .push(data) => Inserts data to top of stack.
• .pop() => Removes the item on the top of the stack.
• .peak() => Returns the item on the top of the stack.
• .getSize() =>Returns the size of the stack;
• .view() => Prints a visual display of the stack.

Heap:

const { Heap } = require('@ahmeds.gaafer/js-data-structures');

// The constructor can accept an array as an input and it will transform the array to the Heap

const arr = [1, 2, 3];

//min heap
const minHeap = new Heap(arr);

//max heap
const maxHeap = new Heap(arr, true);

/// or 
const maxHeap = new Heap([], true);

maxHeap.push(5);

// You can chain methods that does not return a value
minHeap.push(1).push(2) // vaild
minHeap.peak().push(1); // invalid

functions:

• .push(data) => Insert a data to the heap.
• .pop() => Removes the root of the heap and fixes the the heap.
• .peak() => Returns the value of the root of the heap.
• .getSize() => Returns the size of the heap;
• .view() => Prints the array of the heap;

Graph:

const { Graph } = require('@ahmeds.gaafer/js-data-structures');

//The graph can has 2 arguments that are set to false by default.
//The first argument is "isUniDirectional" if you set it to true the graph will be a directed graph.
//The second argument is "isWeighted" if you set it to true the graph will be weighted.

const g = new Graph();// un-directed un-weighted graph
//or
const g = new Graph(true, false); // directed un-weighted graph.
//or
const g = new Graph(false, true); // un-directed  weighted graph.
//or
const g = new Graph(true, true); // directed weighted graph

g.addVertex(1);
g.addVertex(2);


// You can chain methods that does not return a value

g.addVertex(1).addVertex(2); // valid

g.getNeighbours(1).addVertex(3); // invalid


// if you write a code that can brake the logic of the graph it will log an error message but will nor stop the whole execution of the program.

//Ex

g.addVertex(1);
g.addVertex(1); // add same vertex twice

g.removeVertex(5)// remove a non-existant vertex

// etc...

functions:

• .addVertex(v) => Adds vertex to the graph.
• .addEdge(u, v, w: conditional) => Add edge between vertex "u" and vertex "v" . weight of the edge "w" is valid if only the graph is set to be weighted.
• .removeVertex(v) => Removes the vertex from the graph and removes all of the linked edges to it.
• .removeEdge(u, v) => Removes edge between vertex "u" and "v".
• .getVerticesNumbers() => Returns the number of vertcies in the Graph.
• .getNeighbours(v) => Returns a the list of neighbours of vertex v
• .view() => Display a visual display of the graphs adjacency list.

Important Note:

Any usage of the functions not mentioned in the functions above might lead to un-expected behaviour.