heap

What is heap?

The 'heap' npm package provides an easy-to-use implementation of the heap data structure, allowing users to manage a collection of items with operations such as insertion, removal, and retrieval of the smallest (or largest) item efficiently. It supports both min-heaps and max-heaps, making it versatile for various applications such as priority queues, sorting algorithms, and more.

What are heap's main functionalities?

Creating and using a min heap

This code demonstrates how to create a min heap, insert items into it, and then remove the smallest item. The 'heap' package automatically organizes the items so that the smallest item can be efficiently removed.

const Heap = require('heap');
let minHeap = new Heap();
minHeap.push(2);
minHeap.push(3);
minHeap.push(1);
console.log(minHeap.pop()); // Outputs: 1

Creating and using a max heap

This code shows how to create a max heap by providing a custom comparison function. Items are inserted into the heap, and the largest item is removed efficiently.

const Heap = require('heap');
let maxHeap = new Heap((a, b) => b - a);
maxHeap.push(2);
maxHeap.push(3);
maxHeap.push(1);
console.log(maxHeap.pop()); // Outputs: 3

Heapify an existing array

This example demonstrates how to transform an existing array into a heap structure in-place using the 'heapify' method. This is useful for efficiently preparing data for heap operations.

const Heap = require('heap');
let numbers = [3, 1, 2];
Heap.heapify(numbers);
console.log(numbers); // Outputs a heapified array

Other packages similar to heap

binary-heap

The 'binary-heap' package also provides an implementation of the binary heap data structure. It is similar to 'heap' in functionality but might have differences in API design and performance characteristics.

priorityqueuejs

This package offers a priority queue implementation using a binary heap. While it serves a similar purpose to 'heap', it is specifically tailored for priority queue use cases and might offer a more specialized API for those scenarios.

README

Heap.js

A binary heap implementation in CoffeeScript/JavaScript. Ported from Python's heapq module.

Download

This module can be used in either the browser or node.js.

for browser use, you may download the script and include it in you web page.

<script type="text/javascript" src="./heap.js"></script>

for node.js, you may install it via npm:

npm install heap

then require it:

var Heap = require('heap');

Examples

push and pop

var heap = new Heap();
heap.push(3);
heap.push(1);
heap.push(2);
heap.pop(); // 1

custom comparison function

var heap = new Heap(function(a, b) {
    return a.foo - b.foo;
});
heap.push({foo: 3});
heap.push({foo: 1});
heap.push({foo: 2});
heap.pop(); // {foo: 1}

find 3 largest/smallest items in an array

var array = [1, 3, 4, 2, 5];
Heap.nlargest(array, 3);  // [5, 4, 3]
Heap.nsmallest(array, 3); // [1, 2, 3]

Document

This module exposes only one object, namely the Heap class.

Constructor: Heap([cmp])

The constructor receives a comparison function as an optional parameter. If omitted, the heap is built as a min-heap, which means that the smallest element will be popped out first.

If the comparison function is supplied, the heap will be built according to the return value of the comparison function.

• if cmp(a, b) < 0, then item a will come prior to b
• if cmp(a, b) > 0, then item b will come prior to a

So, the comparison function has the following form:

function cmp(a, b) {
  if (a is prior to b) {
    return -1;
  } 
  if (b is prior to a) {
    return 1;
  }
  return 0;
}

To compare numbers, simply:

function cmp(a, b) {
  return a - b;
}

Instance Methods

push(item) (alias: insert)

Push item onto heap.

pop()

Pop the smallest item off the heap and return it.

peek() (alias: top / front)

Return the smallest item of the heap.

replace(item)

Pop and return the current smallest value, and add the new item.

This is more efficient than pop() followed by push(), and can be more appropriate when using a fixed size heap. Note that the value returned may be larger than item!

pushpop(item)

Fast version of a push followed by a pop.

heapify()

Rebuild the heap. This method may come handy when the priority of the internal data is being modified.

updateItem(item)

Update the position of the given item in the heap. This function should be called every time the item is being modified.

empty()

Determine whether the heap is empty.

size()

Get the number of elements stored in the heap.

toArray()

Return the array representation of the heap. (note: the array is a shallow copy of the heap's internal nodes)

clone() (alias: copy)

Return a clone of the heap. (note: the internal data is a shallow copy of the original one)

Static Methods

NOTE: All the static methods are designed to be applied on arrays.

push(array, item, [cmp])

Push item onto array, maintaining the heap invariant.

pop(array, [cmp])

Pop the smallest item off the array, maintaining the heap invariant.

replace(array, item, [cmp])

Pop and return the current smallest value, and add the new item.

This is more efficient than heappop() followed by heappush(), and can be more appropriate when using a fixed size heap. Note that the value returned may be larger than item!

pushpop(array, item, [cmp])

Fast version of a heappush followed by a heappop.

heapify(array, [cmp])

Build the heap.

updateItem(array, item, [cmp])

Update the position of the given item in the heap. This function should be called every time the item is being modified.

nlargest(array, n, [cmp])

Find the n largest elements in a dataset.

nsmallest(array, n, [cmp])

Find the n smallest elements in a dataset.

License

Ported by Xueqiao Xu <[e-mail]>

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