npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

heap

v0.2.7

Published

binary heap (priority queue) algorithms (ported from Python's heapq module)

Downloads

5,892,129

Readme

Heap.js

Build Status

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.