Using the camsource and vlc packages as an example. If camsource is configured to use a given dev/video[n] device with a choice of resolution in the width and height fields of a camsource conf file then if camsource is the first application to access the device captured images are as-expected. However, if an application like vlc is used for the same device (and exited) before starting camsource (e.g. to check the view from the camera before starting camsource) and if the camera supports higher resolutions than used in the camsource configuration what occurs is that camsource will not setup the camera to use the configured resolution and has a broken view of the camera output based on the vlc chosen resolution chopped to the camsource configuration. For example, with camsource configuration set to use 640x480 on a camera that supports 720x480 and vlc is used and exited before camsource is started then the captured camsource images contain two non-continuous partial image blocks with a horizontal border dividing them. I assume either vlc fails to fully reset the device configuration when exiting or camsource fails to initialize the device "from scratch" when starting. The two applications use different video device APIs but the setup and cleanup for the camera in each case is a very limited part of the application's functionality.

I'd like a way to have a device on my desk which lights up to indicate that I have something I should be paying attention to. Initially, I'd like this to be for Office365 calendar events and GitHub mentions, but ideally it should support arbitrary messages. The plan is to assign specific colors (ideally "patterns" consisting of a sequence of colors and time) to specific message types.

Features I'd like to implement:

I own a 3D printer / Anet AM8 / and after 1,5y its time to upgrade the electronics, mainly the stock motherboard and get it ready for multi-color printing. Also the time has come where I would like to not only download 3D models from thingiverse but also create or customize the models for my usage.

Since SUSE Manager doesn't scale out and stacking it into another pyramid of susemanagers won't help here, the real architectural changes needs to be done to achieve true scale-out of this product. This hackweek project is about how to Turn SUSE Manager into a cluster.

This is kinda continuation of my last hackweek project - learning python3 the parcical way. The goal is again to replace existing bash script which will generate 3 node KVM HA cluster on my workstation and automate quite a boring part of HA regression testing.