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- @datastructures-js/heap
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Readme
@datastructures-js/heap
a complete javascript implementation for the Min/Max Heap data structures & Heap Sort algorithm.

Table of Contents
install
npm install --save @datastructures-js/heapAPI
require
const { MinHeap, MaxHeap } = require('@datastructures-js/heap');import
import { MinHeap, MaxHeap } from '@datastructures-js/heap';create a heap
new
creates an empty heap.
Example
const minHeap = new MinHeap();
const maxHeap = new MaxHeap();.heapify(list)
converts an array of objects to a heap.
| runtime | params | return |
|---|---|---|
| O(n) |
list: {array} elements can be {number}, {string} or serialized heap node. |
{MinHeap} or {MaxHeap} |
Example
const numList = [
50,
80,
{ key: 30, value: 'something' },
90,
{ key: 60, value: null },
40,
{ key: 20, value: { name: 'test' } }
];
const strList = [
'm',
'x',
{ key: 'f', value: 'something' },
'b',
{ key: 'z', value: null },
'k',
{ key: 'c', value: { name: 'test' } }
];
const minHeap = MinHeap.heapify(numList);
const maxHeap = MaxHeap.heapify(strList);.insert(key, value)
insert a node into the heap.
| runtime | params |
|---|---|
| O(log(n)) |
key: {number} or {string} the value that is used to compare nodes in the heap value: {object} the value that is associated with a key |
Example
const minHeap = new MinHeap();
const maxHeap = new MaxHeap();
minHeap.insert(50);
minHeap.insert(80);
minHeap.insert(30, 'something');
minHeap.insert(90);
minHeap.insert(60, null);
minHeap.insert(40);
minHeap.insert(20, { name: 'test' });
maxHeap.insert('m');
maxHeap.insert('x');
maxHeap.insert('f', 'something');
maxHeap.insert('b');
maxHeap.insert('z', null);
maxHeap.insert('k');
maxHeap.insert('c', { name: 'test' });.root()
peeks on the root without removing it.
| runtime | params | return |
|---|---|---|
| O(1) |
list: {array} elements can be {number}, {string} or serialized heap node. |
{HeapNode}
.getKey() returns the node's key that is used to compare with other nodes. .getValue() returns the value that is associated with the key. .serialize() returns an object literal of key/value of the node. |
Example
const min = minHeap.root();
console.log(min.getKey()); // 20
console.log(min.getValue()); // { name: 'test' }
console.log(min.serialize()); // { key: 20, value: { name: 'test' } }
const max = maxHeap.root();
console.log(max.getKey()); // 'z'
console.log(max.getValue()); // null
console.log(max.serialize()); // { key: 'z', value: null }.extractRoot()
removes and returns the root node in the heap.
| runtime | return |
|---|---|
| O(log(n)) | {HeapNode} |
Example
const min = minHeap.extractRoot();
console.log(min.getKey()); // 20
console.log(min.getValue()); // { name: 'test' }
console.log(min.serialize()); // { key: 20, value: { name: 'test' } }
console.log(minHeap.root().getKey()); // 30
const max = maxHeap.extractRoot();
console.log(max.getKey()); // 'z'
console.log(max.getValue()); // null
console.log(max.serialize()); // { key: 'z', value: null }
console.log(maxHeap.root().getKey()); // 'x'.serialize()
converts the heap into a list of serialized nodes objects.| runtime | return |
|---|---|
| O(n) | {array} |
Example
console.log(minHeap.serialize());
/*
[
{ key: 30, value: 'something' },
{ key: 60, value: null },
{ key: 40, value: undefined },
{ key: 90, value: undefined },
{ key: 80, value: undefined },
{ key: 50, value: undefined }
]
*/
console.log(maxHeap.serialize());
/*
[
{ key: 'x', value: undefined },
{ key: 'm', value: undefined },
{ key: 'k', value: undefined },
{ key: 'b', value: undefined },
{ key: 'c', value: { name: 'test' } },
{ key: 'f', value: 'something' }
]
*/.size()
| runtime | return |
|---|---|
| O(1) | {number} |
Example
console.log(minHeap.size()); // 6
console.log(maxHeap.size()); // 6.clone()
creates a shallow copy of a heap by slicing the nodes array and passing it to a new heap instance.
| runtime | return |
|---|---|
| O(n) | {MinHeap} or {MaxHeap} |
Example
const minHeapClone = minHeap.clone();
minHeapClone.extractRoot();
console.log(minHeapClone.root().getKey()); // 40
console.log(minHeap.root().getKey()); // 30.sort()
implements Heap Sort and sorts a Max Heap in ascneding order or a Min Heap in descending order.
| runtime | return |
|---|---|
| O(n*log(n)) | {array} a sorted list by key of the heap nodes. |
note : calling .sort() directly on a heap will mutate its nodes location. If you want to avoid that, you can sort a shallow copy of the heap.
Example
console.log(maxHeap.clone().sort()); // does not mutate the heap structure
/*
[
HeapNode { key: 'b', value: undefined },
HeapNode { key: 'c', value: { name: 'test' } },
HeapNode { key: 'f', value: 'something' },
HeapNode { key: 'k', value: undefined },
HeapNode { key: 'm', value: undefined },
HeapNode { key: 'x', value: undefined }
]
*/
console.log(maxHeap.root()); // HeapNode { key: 'x', value: undefined }
console.log(minHeap.clone().sort()); // does not mutate the heap structure
/*
[
HeapNode { key: 90, value: undefined },
HeapNode { key: 80, value: undefined },
HeapNode { key: 60, value: null },
HeapNode { key: 50, value: undefined },
HeapNode { key: 40, value: undefined },
HeapNode { key: 30, value: 'something' }
]
*/
console.log(minHeap.root()); // HeapNode { key: 30, value: 'something' }To sort a list of elements directtly using Heap Sort, it can be done like:
const unsortedList = [3, 7, 2, 10, 4, 9, 8, 5, 1, 6];
const ascSorted = MaxHeap.heapify(unsortedList).sort().map(n => n.getKey());
// [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
const descSorted = MinHeap.heapify(unsortedList).sort().map(n => n.getKey());
// [10, 9, 8, 7, 6, 5, 4, 3, 2, 1].clear()
clears the nodes in the heap.
| runtime |
|---|
| O(1) |
Example
minHeap.clear();
maxHeap.clear();
console.log(minHeap.size()); // 0
console.log(minHeap.root()); // null
console.log(maxHeap.size()); // 0
console.log(maxHeap.root()); // nullBuild
lint + tests
grunt buildLicense
The MIT License. Full License is here