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Learn the inner workings of TCP as implemented in the Linux kernel. This will involve

Let's pick some old classic game, reverse engineer the data formats and game rules and write an open source engine for it from scratch. Some games from 1990s are simple enough that we could have a playable prototype by the end of the week.

[comment]: # Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI [comment]: # Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly.

Project Description

Currently software.opensuse.org search is using the OBS binary search for everything, even for packages inside the openSUSE distributions. Let's switch this to use repomd data from download.opensuse.org

This is mostly a learning activity for myself, others may benefit from documentation.

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Project Description

Experimenting with ALP

The idea is about an easy way to allow users to make upgrades (e.g.: changing from one major version like 15.0 to version 15.1) using a GUI and as easy as they can in Ubuntu.

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Setup a patchew instance

Before Cavium switched to ARM64 CPUs they developed quite powerful MIPS based SOCs. The current upstream Linux kernel already supports some Octeon SOCs, but not the latest versions. Goal of this Hack Week project is to use the latest Cavium SDK to update the Linux kernel code to let it running on CN23XX network cards.

Sometimes you search for a package, and you don't find it because you're not typing it right. Of course there's regex support behind the scenes but it requires conscious effort to make use of.

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Project Description & Goal for this Hackweek

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spec-cleaner is an open-source project and command-line tool for automating the process of cleaning and improving RPM specfile quality and assuring that it follows a specific style guide. It can replace old elements with new ones and reorganize the specfile so it's clean and more readable.

Everybody is talking about (and with) ChatGPT. I tried it and was impressed by how well the language model behaves and finally how real and humanly it appears, despite the obvious nonsense that it outputs. I was wondering how machine learning practically works and how to build a neural network.

Yes, those VGA video cards. The goal of this project is to implement a DRM graphics driver for such devices. While actual hardware is hard to obtain or even run today, qemu emulates VGA output.

Project Description

During the previous Hackweek [0], I have successfully implemented, tested and merged [1] an implementation of the entire C++ standard header . This time, my aim is to modernize the C++14-esque standard library [2] of HelenOS [3][4] with a C++17 feature - the header. The header is much larger than the header which I barely managed to implement and test in the allocated time for the previous Hackweek, but was mostly OS-independent as it relied only on previously implemented features of the standard library. The header, however, is limited by the filesystem API of the OS and as such implementing of the entirety of it might not be possible, limiting the scope of the project (which is a good thing due to the time constraints).

As per the title I am aiming to investigate a much nicer conky default, I have a short list, but it depends on asking people nicely to license there work, if I have to create something from scratch it probably won't happen this hackweek.

Following up on the experiment from last Hackweek ( https://confluence.suse.com/display/~digitaltomm/Business+Intelligence+in+SCC ), it would be great having a production instance of Metabase running in the SCC EKS cluster, connected to the production database of SCC.

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Project Description