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

monty-hall-simulator

v1.0.0

Published

Simulates the Monty Hall Problem over a given number of iterations, with an arbitrary number of doors.

Downloads

11

Readme

Monty Hall Problem Simulator

Simulates the Monty Hall Problem over a given number of iterations, with an arbitrary number of doors.

Uses a cryptographically secure pseudorandom number generator. Returns the results or prints them to console.

For a more convincing demonstration, you can play a game with 100 doors, when Monty opens 98 doors before offering to switch. This results in a 99% winning chance when switching.

async monty(iterations, doors, print)

  • iterations - Number of games for each scenario (player switches / player stays). Default 1000.
  • doors - Number of doors in the game. Default 3.
  • print - Whether to print results to console (default: true). If false, returns results in the format:
{
  "iterations": 1000,
  "wins": {
    "kept": 333,
	"switched": 667,
  }
}

Examples

Classical Monty Hall game:


const monty = require('monty-hall-simulator');

monty();

//  ---------------------------------
//  |                               |
//  |  Monty Hall Problem Simulator |
//  |                               |
//  ---------------------------------
//
//  Played 1000 iterations
//  for each game scenario.
//
//  Wins when player keeps the initial bet: 354/1000 (35.40%)
//  Wins when player switches their bet:    657/1000 (65.70%)

Play more iterations - to get more precise results

const monty = require('monty-hall-simulator');

monty(1000000);

//  ---------------------------------
//  |                               |
//  |  Monty Hall Problem Simulator |
//  |                               |
//  ---------------------------------
//
//  Played 1000000 iterations
//  for each game scenario.
//
//  Wins when player keeps the initial bet: 334154/1000000 (33.42%)
//  Wins when player switches their bet:    666065/1000000 (66.61%)

Play with more doors

const monty = require('monty-hall-simulator');

monty(10000, 100);

//  ---------------------------------
//  |                               |
//  |  Monty Hall Problem Simulator |
//  |                               |
//  ---------------------------------
//
//  Played 10000 iterations
//  for each game scenario.
//
//  Wins when player keeps the initial bet: 97/10000 (0.97%)
//  Wins when player switches their bet:    9898/10000 (98.98%)