⚠️ Are you here for the 2021 AI Sports Challenge?
This repo contains the game and documentation for the 2020 version of Dungeons and Data Structures. You can play around with it as practise, but a new game and documentation will be released at the start of the challenge on 22 April 5 PM (AEST). Stay up to date on challenge announcements by joining our Discord and checking your email (after registering here).

Dungeons & Data Structures

The AI Sports Challenge 2020 season has officially ended! We had some amazing submissions from around the world. Congratulations to all our teams! 🎉 If you created a bot, we'd love for you to share it with us by raising a pull request against this repo and adding the link to your bot for others to play against below. 👇

Agent Directory

• TEAM NAME
• Baby Yoda
• terserah
• pBot Compilers
• Level 1 NPC
• bruh
• ARX II-13
• M Zheng
• KnAIght
• A Tan
• BombPyrates
• Chaotic NULLtral
• Jigglybluff
• RizDog
• PGB
• Rengoku
• Monty Python 3.9.1
• Reed-Solo-man Error Collector
• Bots by Robots
• Gambit
• jab.AI
• FleeBot2077
• Floth
• DLCT2
• FSO
• Oke
• Mosin
• Thailandnumberone
• Bomber Clan
• ZeroNet
• thegeeky
• AeroBot
• Yeet Yate Yote
• Donkie
• K Chan
• Team Solo Bot
• Artificial Incompetence
• SY
• Wizards
• UC Engineering Society
• Rootbeer
• Datawizards

Setup and Installation

⚠️ New here?
We HIGHLY recommend checking out the full documentation here, which includes installation instructions, getting started tutorials, FAQ's, and tips and tricks.

You're also welcome to join us on Discord to contribute to the discussion or ask any questions from the community.

Prerequisites

This is a python project and a valid Python3 installation is required to run it. If you don't have python installed on your machine, please go to the official Python web site here and follow installation instructions for your operating system.

Installation

There are several ways to install the project. The simplest way is to use intallation package. Download the latest available release from the github release page.

MacOS/Linux

Assuming ~/workspace is the directory you want to use to develop your Agent, open your terminal and run:

# Create a working directory for your project:
> mkdir -p ~/workspace/my-agent

# Change into that directory
> cd ~/workspace/my-agent

# Create a python virtual environment. Let's call it venv
> python3 -m venv venv
# Activate your new python environment
> source venv/bin/activate

# Install Coder One Dungeon module you have previously downloaded:
> pip install ~/Downloads/coderone-challenge-dungeons-0.1.0.tar.gz

Once you have a working installation you can start working on your Agent:

coderone-dungeon --interactive --watch my_agent

Windows

Windows installation follows similar steps as other operating system. For a step-by-step, check the full documentation here. It is possible that you might need to use an alternative way to start the game, instead of relying on the convenience wrapper codeone-dungeon.

> python -m coderone.dungeon.main

Running a game

Once all game dependencies have been properly installed, the game can be launched using command line:

python -m coderone.dungeon.main

There are a number of command line options supported by the game driver. To get a full list of options run:

python -m coderone.dungeon.main --help

Command line options summory

The game runner recognises a number of command line options. Use python -m coderone.dungeon.main --help to get a list of supported options.

• --headless - run the game without graphics. Tournament matches will be run in this mode.
• --interactive - game is created with an extra player for the interactive user. This player can be controlled using your keyboard.
• --watch - automatically reload user's Agent if source code files changes. This allows for interactive development as code can be edited while the game is running.
• --record <FILE> - record game action into a specified file for later review.

Interactive mode keys:

• Enter - pause / un-pause the game
• r - restart the game with a new random map
• ↑ / ↓ / ← / → - move
• <SPACE> - place a bomb

Game modes

There are 3 main modes to run the game:

• Interactive mode - when a human player can participate in a match This is a 'normal' game mode when a human user can play the game with the keyboard the game to explore it. This mode requires at least one bot to be specified.
• Match - two or more* Agents play a game without a human participant.
• 'Headless' match - the game is played by bots with no human participant and without graphics output. This is the mode used to run a tournament.

By default, game runs in a tournament mode, without user input, with graphics output. For example, to run a random match between two Agents "agent1.py" and "agent2.py", run:

coderone-dungeon agent1.py agent2.py

Agents with multi-file code are also supported. Keep in mind that a proper python module must include __init__.py file.

Config options

On the first run the game will generate a default config file config.json and store it in the OS-specific configuation directory.

Default config looks like this:

{
	"headless": false,
	"interactive": false,
	"start_paused": true,
	"wait_end": 5,
	"max_iterations": 3000,
	"tick_step": 0.10
}

Config notes

In your local development environment you have access to all config options, such as number of iterations the game runs (max_iterations) or game update time step (tick_step). However, these options are fixed in the tournament and cannot be modified so please don't rely on these values.

Known issues

The Python library used for graphics has some known issues. If you experience a game crash with an error like:

munmap_chunk(): invalid pointer
Aborted (core dumped)

Add the following option to your config.json

...
 "no_text": true,
...

This options disables all text in the game which resolves library crashes.

On ARM, python Arcade fails to install without FFI. Install it via:

> sudo apt install libffi-dev libtiff5-dev libjpeg8-dev libopenjp2-7-dev zlib1g-dev \
    libfreetype6-dev liblcms2-dev libwebp-dev tcl8.6-dev tk8.6-dev python3-tk \
    libharfbuzz-dev libfribidi-dev libxcb1-dev

Development

Clone this git repository:

git clone https://github.com/gocoderone/dungeons-and-data-structures

Open terminal and run the following commands:

> cd <git check-out>
> python3 -m venv venv
> source venv/bin/activate
> pip install -r coderone/dungeon/requirements.txt

Contributions

As we work towards building the home for AI Sports, we welcome all feedback and contributions to help us improve the experience for participants.

Feel free to raise an issue against this Repo if you experience any issues or would like to send a suggestion.

Authors

HUMANS at Coder One:

• Ivan aka @abbyssoul