SUSE AI Meets the Game Board by moio

Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!

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Results: Infrastructure Achievements

We successfully built and automated a containerized stack to support our AI experiments. This included:

• a Fully-Automated, One-Command, GPU-accelerated Kubernetes setup: we created an OpenTofu based script, tofu-tag, to deploy SUSE's RKE2 Kubernetes running on CUDA-enabled nodes in AWS, powered by openSUSE with GPU drivers and gpu-operator
• Containerization of the TAG and PyTAG frameworks: TAG (Tabletop AI Games) and PyTAG were patched for seamless deployment in containerized environments. We automated the container image creation process with GitHub Actions. Our forks (PRs upstream upcoming):
  • https://github.com/moio/TabletopGames/tree/hackweek24
  • https://github.com/moio/PyTAG/tree/hackweek24

./deploy.sh and voilà - Kubernetes running PyTAG (k9s, above) with GPU acceleration (nvtop, below)

Results: Game Design Insights

Our project focused on modeling and analyzing two card games of our own design within the TAG framework:

• Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
• AI-driven optimization: By analyzing statistical data on moves, strategies, and outcomes, we iteratively tweaked the game mechanics and rules to achieve better balance and player engagement.
• Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .
  • more about Bamboo on Dario's site
  • more about R3 on Silvio's site (italian, translation coming)
  • more about Totoro on Silvio's site

A family picture of our card games in progress. From the top: Bamboo, Totoro, R3

Results: Learning, Collaboration, and Innovation

Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:

• "Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
• AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
• GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
• Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!

The Context: AI + Board Games

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Port the classic browser game HackTheNet to PHP 8 by dgedon

Description

The classic browser game HackTheNet from 2004 still runs on PHP 4/5 and MySQL 5 and needs a port to PHP 8 and e.g. MariaDB.

Goals

• Port the game to PHP 8 and MariaDB 11
• Create a container where the game server can simply be started/stopped

Resources

• https://github.com/nodeg/hackthenet

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ADS-B receiver with MicroOS by epaolantonio

I would like to put one of my spare Raspberry Pis to good use, and what better way to see what flies above my head at any time?

There are various ready-to-use distros already set-up to provide feeder data to platforms like Flightradar24, ADS-B Exchange, FlightAware etc... The goal here would be to do it using MicroOS as a base and containerized decoding of ADS-B data (via tools like dump1090) and web frontend (tar1090).

Goals

• Create a working receiver using MicroOS as a base, and containers based on Tumbleweed
• Make it easy to install
• Optimize for maximum laziness (i.e. it should take care of itself with minimum intervention)

Resources

• 1x Small Board Computer capable of running MicroOS
• 1x RTL2832U DVB-T dongle
• 1x MicroSD card
• https://github.com/antirez/dump1090
• https://github.com/flightaware/dump1090 (dump1090 fork by FlightAware)
• https://github.com/wiedehopf/tar1090

Project status (2024-11-22)

So I'd say that I'm pretty satisfied with how it turned out. I've packaged readsb (as a replacement for dump1090), tar1090, tar1090-db and mlat-client (not used yet).

Current status:

• Able to set-up a working receiver using combustion+ignition (web app based on Fuel Ignition)
• Able to feed to various feeds using the Beast protocol (Airplanes.live, ADSB.fi, ADSB.lol, ADSBExchange.com, Flyitalyadsb.com, Planespotters.net)
• Able to feed to Flightradar24 (initial-setup available but NOT tested! I've only tested using a key I already had)
• Local web interface (tar1090) to easily visualize the results
• Cockpit pre-configured to ease maintenance

What's missing:

• MLAT (Multilateration) support. I've packaged mlat-client already, but I have to wire it up
• FlightAware support

Give it a go at https://g7.github.io/adsbreceiver/ !

Project links

• https://g7.github.io/adsbreceiver/
• https://github.com/g7/adsbreceiver
• https://build.opensuse.org/project/show/home:epaolantonio:adsbreceiver

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Improve Development Environment on Uyuni by mbussolotto

Description

Currently create a dev environment on Uyuni might be complicated. The steps are:

• add the correct repo
• download packages
• configure your IDE (checkstyle, format rules, sonarlint....)
• setup debug environment
• ...

The current doc can be improved: some information are hard to be find out, some others are completely missing.

Dev Container might solve this situation.

Goals

Uyuni development in no time:

• using VSCode:
  • setting.json should contains all settings (for all languages in Uyuni, with all checkstyle rules etc...)
  • dev container should contains all dependencies
  • setup debug environment
• implement a GitHub Workspace solution
• re-write documentation

Lots of pieces are already implemented: we need to connect them in a consistent solution.

Resources

• https://github.com/uyuni-project/uyuni/wiki

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Technical talks at universities by agamez

Description

This project aims to empower the next generation of tech professionals by offering hands-on workshops on containerization and Kubernetes, with a strong focus on open-source technologies. By providing practical experience with these cutting-edge tools and fostering a deep understanding of open-source principles, we aim to bridge the gap between academia and industry.

For now, the scope is limited to Spanish universities, since we already have the contacts and have started some conversations.

Goals

• Technical Skill Development: equip students with the fundamental knowledge and skills to build, deploy, and manage containerized applications using open-source tools like Kubernetes.
• Open-Source Mindset: foster a passion for open-source software, encouraging students to contribute to open-source projects and collaborate with the global developer community.
• Career Readiness: prepare students for industry-relevant roles by exposing them to real-world use cases, best practices, and open-source in companies.

Resources

• Instructors: experienced open-source professionals with deep knowledge of containerization and Kubernetes.
• SUSE Expertise: leverage SUSE's expertise in open-source technologies to provide insights into industry trends and best practices.

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New features in openqa-trigger-from-obs for openQA by jlausuch

Description

Implement new features in openqa-trigger-from-obs to make xml more flexible.

Goals

One of the features to be implemented: - Possibility to define "VERSION" and "ARCH" variables per flavor instead of global.

Resources

https://github.com/os-autoinst/openqa-trigger-from-obs

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Git CI to automate the creation of product definition by gyribeiro

Description

Automate the creation of product definition

Goals

Create a Git CI that will:

• automatically be triggered once a change (commit) in package list is done.
• run tool responsible to update product definition based on the changes in package list
• test the updated product definition in OBS
• submit a pull request updating the product definition in the repository

NOTE: this Git CI may also be triggered manually

Resources

• https://docs.gitlab.com/ee/ci/
• https://openbuildservice.org/2021/05/31/scm-integration/
• https://github.com/openSUSE/openSUSE-release-tools

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Learn about OSB and contribute to `kustomize` and `k9s` packages to add ARM arch by dpock

Description

There are already k9s and kustomize packages that exist for openSUSE today. These could be used as the source for these binaries in our rancher projects. By using them we would benefit from CVE fixes included in our distribution of the packages not in cluded upstream. However they are not providing arm package builds which are required.

Goals

• [ ] Update the kustomize package in OBS to use the newest version and send change request

Resources

• k9s: https://build.opensuse.org/package/show/openSUSE:Factory/k9s
• kustomize: https://build.opensuse.org/package/show/openSUSE:Factory/kustomize
• Learning Docs: https://confluence.suse.com/display/packaging/Training%2C+Talks+and+Videos

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Bootstrap openSUSE on LoongArch by glaubitz

Description

LoongArch is a new architecture from China which has its roots in the MIPS architecture. It has been created by Loongson and is already supported by Debian Ports, Gentoo and Loongnix.

Upstream support for LoongArch is already quite complete which includes LLVM, Rust, Golang, GRUB, QEMU, LibreOffice and many more. In Debian Ports, where the port is called "loong64", more than 95% of the whole Debian archive have been successfully built for LoongArch.

QEMU support is rather complete and stable such that packages can be built in emulated environments. Hardware can also be requested by Loongson on request for free. Access to real hardware is also provided through the GCC Compile Farm.

Goals

The initial goal should be to add LoongArch to OBS and build a minimal set of packages.

Resources

• Introduction to LoongArch: https://docs.kernel.org/arch/loongarch/introduction.html
• LoongArch community on Github: https://github.com/loongarchlinux
• Debian Ports repository for loong64: http://ftp.ports.debian.org/debian-ports/pool-loong64/main/
• Gentoo stage3 for loong: https://www.gentoo.org/downloads/#loong

Results

• An initial set of packages for openSUSE loongarch64 has been successfully bootstrapped
• An OBS project has been set up to build packages for openSUSE loongarch64 with more than 3000 packages being built already
• A work-in-progress guide on how to bootstrap a new openSUSE port from Debian has been created
• A work-in-progress guide on how to add a new target to the openSUSE toolchain has been created

Acknowledgements

• Thanks to Adrian Schröter and Rüdiger Oertl for the help with setting up the FTP space and OBS project
• Thanks to Dirk Müller for the input on how to get started with a new port
• Thanks to Richard Biener for quickly accepting my submit requests to add loongarch64 support to the toolchain

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Research openqa-trigger-from-obs and openqa-trigger-from-ibs-plugin by qwang

Description

openqa-trigger-from-obs project is a framework that OSD is using it to automatically sync the defined images and repositories from OBS/IBS to its assets for testing. This framework very likely will be used for the synchronize to each location's openqa include openqa.qa2.suse.asia Beijing local procy scc scc-proxy.suse.asia(although it's not a MUST to our testing) it's now rewriting requests to openqa.qa2.suse.asia instead of openqa.suse.de, the assets/repo should be consistent the format Beijing local openQA is maintaining an own script but still need many manually activities when new build comes, and not consistent to OSD, that will request many test code change due to CC network change

Goals

Research this framework in case it will be re-used for Beijing local openQA, and will need to be setup and maintained by ourselves

Resources

https://github.com/os-autoinst/openqa-trigger-from-obs/tree/master https://gitlab.suse.de/openqa/openqa-trigger-from-ibs-plugin

beijing :rainbow machine

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Write a shell extension for GNOME by tdz

Description

I usually do kernel and systems programming. This project is about learning more about the userspace and application side. Writing an extension to gnome-shell seems like a good place to start. The GNOME shell is scriptable via JavaScript and a number of such extension is available from upstream.

On X11, there used to be a toy rsp. screensaver called XPenguins. After the desktop being idle for some time, it sent penguins falling down the screen and walking along window borders. It doesn't work any longer with Wayland-based compositing, but re-implementing it as extension for the GNOME shell might be possible. There already existed a port around a decade ago that could serve as starting point.

Goals

• Learn about how shell extensions work and how to write one
• See if XPenguins can be converted
• If successful, try to upstream the result

Resources

• GNOME Shell Extensions
• XPenguins Homepage
• XPenguins for GNOME shell

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