levelsio

# 2023-11-27 MIT LICENSE

Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

Send me your ChatGPT text adventure game on X, I'd love to try it!

javan

😱 Before: ~/Desktop/Screen Shot….png 4.1 MB

🏆 After: ~/Screenshots/Screen Shot….png 937 KB

  ⤵

1. Install https://pngquant.org/

   $ brew install pngquant

amiralles

class BTree
	attr_accessor :root, :size

	class Node
		attr_accessor :parent, :data, :left, :right

		def initialize parent, data
			self.parent = parent
			self.data   = data
		end

SamSaffron

require 'benchmark/ips'
require 'redis'
class MethodProfiler
  def self.patch(klass, methods, name)
    patches = methods.map do |method_name|
      <<~RUBY
      unless defined?(#{method_name}__mp_unpatched)
        alias_method :#{method_name}__mp_unpatched, :#{method_name}
        def #{method_name}(*args, &blk)
          unless prof = Thread.current[:_method_profiler]

yatsu

#!/bin/sh

# 1) Install Xcode 11
# 2) Install command line tools: `xcode-select --install`
# 3) Install HomeBrew
# 4) brew tap cartr/qt4 && brew install cartr/qt4/[email protected] subversion rbenv
# 5) Setup rbenv
# 6) Run this command

PKG_CONFIG_PATH="$(brew --prefix cartr/qt4/[email protected])/lib/pkgconfig" \

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

lencioni

// Usage:
// 
// function loader() {
//   return new Promise((resolve) => {
//     if (process.env.LAZY_LOAD) {
//       require.ensure([], (require) => {
//         resolve(require('./SomeComponent').default);
//       });
//     }
//   });

beanieboi

daemon off;
# Heroku dynos have at least 4 cores.
worker_processes <%= ENV['NGINX_WORKERS'] || 4 %>;

events {
  use epoll;
  accept_mutex on;
  worker_connections 1024;
}

adamenger

require 'aws-sdk'
require 'elasticsearch'
require 'httparty'
require 'socket'

ec2 = AWS::EC2.new

# elasticsearch_cluster is just an array of ip's, so you could manually replace or use your api of choice to get them
elasticsearch_cluster = ec2.instances.with_tag('es_cluster_name', 'es_test').filter('instance-state-name', 'running').map{ |i| i.private_ip_address }
start_time = Time.now.to_i

SamSaffron

# speed up pluck

class ActiveRecord::Relation

  class RailsDateTimeDecoder < PG::SimpleDecoder
    def decode(string, tuple=nil, field=nil)
      if Rails.version >= "4.2.0"
        @caster ||= ActiveRecord::Type::DateTime.new
        @caster.type_cast_from_database(string)
      else