icollections
v3.0.16
Published
Typescript Data Structures
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ICollections
“Bad programmers worry about the code. Good programmers worry about data structures and their relationships.” — Linus Torvalds
This project has javascript implementation for some common data structures like:
- Linked List
- Queue
- Priority Queue
- Stack
- Maps
- Hash Table
- Binary Search Tree
- Set
Install
$ npm i icollections
Usage
Binary Search Tree
import { BST } from 'icollections';
var bst = new BST();
console.log(hashTable.storageLimit); // 14
bst.add(10);
bst.add(5);
console.log(bst.isPresent(5)); // true
console.log(bst.isPresent(10)); // true
console.log(bst.isBalanced()); // false
Your actual tree state:
10
/
5
bst.add(13);
Your actual tree state:
10
/ \
5 13
console.log(bst.isBalanced()); // true
bst.add(2);
bst.add(133);
bst.add(42);
bst.add(12);
Your actual tree state:
10
/ \
5 13
/ / \
2 12 133
/
42
bst.invert())
Your actual tree state:
10
/ \
13 5
/ \ \
133 12 2
\
42
console.log(bst.findMin()); // 2
console.log(bst.findMax()); // 133
console.log(bst.inOrder()); //[2,5,10,12,13,42,133]
console.log(bst.preOrder()); //[10,5,2,13,12,133,42]
console.log(bst.postOrder()); //[2,5,12,42,133,13,10]
console.log(bst.layers()); //[10, 5, 13, 2, 12, 133, 42]
console.log(bst.elementDepth(10)); // 0
console.log(bst.elementDepth(42)); // 3
console.log(bst.elementHeight(10)); // 3
console.log(bst.elementHeight(42)); // 0
console.log(bst.layers()); //[10, 5, 13, 2, 12, 133, 42]
| Algorithm | Average | Worst Case | | --------- | :------: | :--------: | | Space | O(n) | O(n) | | Search | O(log n) | O(n) | | Insert | O(log n) | O(n) | | Delete | O(log n) | O(n) |
Linked Lists
import { LinkedList } from 'icollections';
var linked = new LinkedList();
console.log(linked.size); // 0
linked.add(10);
linked.add(5);
linked.add(3);
console.log(linked.size); // 3
linked.addAt(1, 7);
console.log(linked.dataAt(1)); // 7
console.log(linked.indexOf(7)); // 1
linked.remove(3);
console.log(linked.dataAt(2)); // -1
console.log(linked.indexOf(3)); // -1
linked.add(3);
linked.removeAt(1);
console.log(linked.dataAt(1)); // 3
console.log(linked.indexOf(5)); // -1
| Algorithm | Average | Worst Case | | --------- | :-----: | :--------: | | Space | O(n) | O(n) | | Search | O(n) | O(n) | | Insert | O(1) | O(1) | | Delete | O(1) | O(1) |
Stack
import { Stack } from 'icollections';
let stack = new Stack();
console.log(stack.size); // 0
stack.push(10);
stack.push(5);
stack.push(7);
console.log(stack.size); // 3
console.log(stack.peek); // 7
stack.pop();
console.log(stack.size); // 2
console.log(stack.peek); // 5
| Algorithm | Average | Worst Case | | --------- | :-----: | :--------: | | Space | O(n) | O(n) | | Search | O(n) | O(n) | | Insert | O(1) | O(1) | | Delete | O(1) | O(1) |
Queue
import { Queue } from 'icollections';
const queue = new Queue();
console.log(queue.size); // 0
queue.enqueue('a');
queue.enqueue('b');
queue.enqueue('c');
console.log(queue.isEmpty); // false
console.log(queue.size); // 3
console.log(queue.front); // 'a'
console.log(queue.dequeue()); // 'a'
console.log(queue.size); // 2
console.log(queue.front); // 'b'
| Algorithm | Average | Worst Case | | --------- | :-----: | :--------: | | Space | O(n) | O(n) | | Search | O(n) | O(n) | | Insert | O(1) | O(1) | | Delete | O(1) | O(1) |
Priority Queue
import { PriorityQueue } from 'icollections';
const queue = new PriorityQueue();
console.log(queue.size); // 0
queue.enqueue(['I am last one', 4]);
queue.enqueue(['Just the third', 3]);
queue.enqueue(['Almost', 2]);
queue.enqueue(['FIRST ONE, WINNER', 1]);
console.log(queue.front); // ['FIRST ONE, WINNER', 1])
queue.dequeue();
console.log(queue.front); // ['Almost', 2]
| Algorithm | Average | Worst Case | | --------- | :-----: | :--------: | | Space | O(n) | O(n) | | Search | O(n) | O(n) | | Insert | O(1) | O(1) | | Delete | O(1) | O(1) |
Set
import { Set } from 'icollections';
const set = new Set();
console.log(set.size) // 0
set.add("a");
set.add("b");
console.log(set.size) // 2
console.log(set.has("a") // true
console.log(set.has("b")) // true
console.log(set.values) // ["a", "b"]
set.remove("a");
console.log(set.size).toBe(1);
console.log(set.has("a")) // false
var setA = new Set();
var setB = new Set();
setA.add("a");
setA.add("b");
setA.add("c");
setB.add("a");
setB.add("c");
setB.add("z");
var intersectSet = setA.intersection(setB);
console.log(intersectSet.size) // 2
console.log(intersectSet.values) // ["a", "c"]
var diffSet = setA.difference(setB);
console.log(diffSet.size) // 1
console.log(diffSet.values) // ["b"]
var setA = new Set();
var setB = new Set();
setA.add("a");
setA.add("b");
setA.add("c");
setA.add("d");
setB.add("a");
setB.add("b");
console.log(setB.subset(setA)) // true
Map
import { Map } from 'icollections';
var map = new Map();
console.log(map.size); // 0
map.set('arms', 2);
map.set('fingers', 10);
map.set('eyes', 2);
map.set('belley button', 1);
console.log(map.size); // 4
let obj = { name: 'languange' };
map.set(obj, 'JavaScript');
console.log(map.has(obj)); // true
console.log(map.has({ name: 'languange' })); // true
console.log(map.get(obj)); // 'JavaScript'
console.log(map.has('arms')); // true
console.log(map.get('arms')); // 2
console.log(map.values); // [2,10,2,1]
map.delete('eyes');
console.log(map.has('eyes')); // false
map.clear();
console.log(map.size); // 0
Hash Tables
import { HashTable } from 'icollections';
var hashTable = new HashTable(14);
console.log(hashTable.storageLimit); // 14
hashTable.add('beau', 'person');
console.log(hashTable.lookup('beau')); // 'person'
hashTable.remove('beau');
expect(hashTable.lookup('beau')); // undefined
| Algorithm | Average | Worst Case | | --------- | :-----: | :--------: | | Space | O(n) | O(n) | | Search | O(1) | O(n) | | Insert | O(1) | O(n) | | Delete | O(1) | O(n) |
Contributing
$ git clone https://github.com/assuncaocharles/javascript_DataStructure
cd javascript_DataStructure
npm i
Running test
npm run test
To do
- Graph
- Binary Heap