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

deep-memoize

v0.0.3

Published

Memoization that recurses in the case of function output

Downloads

4

Readme

deep-memoize

This module allows you to recursively memoize the output of higher-order functions. This is pretty helpful in combination with currying (e.g. https://github.com/dominictarr/curry).

Example Usage

var deep_memoize = require('deep-memoize')

var fast_and_thunky = deep_memoize(fib_thunk)

fast_and_thunky(40)() // may take awhile
fast_and_thunky(40)() // will be superfast!
fast_and_thunky(40)('silly arg') // will be slow again

function fib_thunk (n) {
  return function () { return fib(n) }
}

function fib (n) {
  return n < 2 ? 1 : fib(n-1) + fib(n-2)
}

Gotchas

  • Functions that differ based on variables they have access to will be treated as the same function.
  • Functions that are recursively defined are not memoized while they run. This can be avoided by defining the unmemoized version in terms of the memoized version and the memoized version in terms of the unmemoized version!
var fully_memod = deep_memoize(curry(function (a, b, c) {
  return (a === 0 || b === 0) ?
      c :
      fully_memod(a - 1, b, c) + fully_memod(a, b - 1, c)
}))

Pretty cray, right?