Porting training labs to Python. This includes re-implementing the host side BASH scripts (which handle VirtualBox and KVM related tasks) to Python. For full details on this please follow training-labs project:

DevOps is hot, and SUSE now is changing that we will not only provide OS and relative products but also online-application-like products e.g. docker application, so L3 service needs to improve as well.

Project Description

Project Description

Investigate how SUSE Manager will work (in place of Orthos) for managing Provo-based hardware in labs that needs to be shared across multiple organizations.

As a part of this hackweek, I'd like to take a look at Clojure and use it to solve as many problems as possible from the project euler.

I use my Raspberry Pi 3B as a router. I have seen this crash:

Description

Prepare openSUSE Tumbleweed project for new GHC Haskell compiler and separate builder (Hadrian) from GHC build

Objective

The support for Orange PI PC in mainline kernel has advanced a bit, so now it should be possible to build openSUSE image that has at least serial support with kernel 4.6 and usb support with 4.7. I will investigate this.

I currently use maildirproc for filtering Maildirs downloaded by offlineimap and like its highly flexible approach to filtering a lot (filters Python code). This works very well, except for one problem: after filtering, the next offlineimap run deletes the messages that where previously in Inbox on the mail server and uploads them to the folders they were sorted into. Depending on how many emails one gets, this is a colossal waste of bandwidth.

Description

Description

The current util-linux package contains a lot of tests. These tests are called during the build process. But the build environment is limited, and many of the tests cannot be ran properly.

The aim of this project is to make openSUSE/SUSE more known in Turkey, to atract students there to more participate in opensuse community:

Following a FOSDEM presentation on Angr for binary analysis, I started packaging it in OBS.

Project Description & Goal for this Hackweek

Project Description

Project Description

Project Description

Create packages for SLES 12 s390x in obs.

Tahoe-LAFS is an open-source decentralized cloud storage system. It distributes your data across multiple servers. Even if some of the servers fail or are taken over by an attacker, the entire file store continues to function correctly, preserving your privacy and security.

Small non profit organisations or activist groups need a Web presence that is easy to maintain by several authors. When using a CMS they do not have the resources to secure the CMS from the various possible attacs most CMSes are notorious for. Defacement or placing malicious content can damage the reputation of such non profit organisations.

...because openQA isn't going anywhere anytime soon.

Project Description

A utility to make beautifully printed maps from OpenStreetMap data.

Basically $topic, as of the latest release of ceph, we have some not so trivial support to pull off something like this at least for metadata, need to see if data sync is also permitted, and then probably hook it to sync to AWS itself

port notmuch/muchsync to android, with some java ui on top

Very often people find themselves wanting to store secrets in a way that either they can recover even if (for instance) their house burns down, or allow friends and family to recover if they pass away. Existing solutions to this problem are:

Description

The compressed image of e.g. SLE Micro 6.0 is ~ 900Mb. ** The overall goal of this project is to make a smaller footprint (in terms of image size) flavor of the image. This is to be achieved by limiting the target use-case to simple RPi (4, 400, Pi Zero 2) server for home IoT. **

Description

The project aims to explore how to design effective system messages and prompts tailored for AI-driven code refactoring tasks. By refining these prompts, we can guide AI models to better understand code structure, identify improvement opportunities, and execute refactorings with minimal manual intervention. The project will delve into creating system messages that balance technical detail with flexibility, enabling AI to perform refactorings that maintain code functionality while improving readability, efficiency, and maintainability.