I’d look into the git-maintenance’s prefetch task. From what I understand, that is more or less what you are looking for. Then just run any old http(s) server and clone them from that https://git-scm.com/docs/git-maintenance
I’d look into the git-maintenance’s prefetch task. From what I understand, that is more or less what you are looking for. Then just run any old http(s) server and clone them from that https://git-scm.com/docs/git-maintenance
There is also writefreely. It is fairly basic, but says it supports “publish[ing] to multiple blogs from one account”. Haven’t really used it, but it looks kinda cool imo
I’m not an expert on btrfs, but I assume the inconsistencies come from deduplication, metadata, and maybe compression. I think some of them just count raw block storage, and some include the cost of metadata.
Traditional du assumes that each file takes up it’s full space on disk which isn’t always the case on btrfs. When using btrfs backed oci images, storage can easily appear multiple times higher.
I use btrfs filesystem usage /
. I’m not sure that it is the “correct” way, but it works fairly well.
You can still compile infinity from source with your own api key
Slint has fairly decent docs and has worked fairly well for my small projects
I’ve gotten tired of weird regex stuff in awk, sed, and grep, so I’ve moved to perl -E for all but the most basic of things.
The main advantage of having a /home partition is that you can easily preserve it during reinstalls or during a distro hop. Reinstalls used to be more common in the past when some distros didn’t allow full distro upgrades without reinstalling. See this result which is still ranked #1 on duckduckgo
I personally use a @home btrfs subvolume which has most of the same advantages to me, and additionally allows @home and @root to share the same partition. It also allows me to use luks on everthing without bothering with lvm.
Are you sure your screen refresh rate is correct?
Sorry, I can’t find the blog post. I remember reading something about how zellij’s goal was to allow cli apps to create pop-ups, overylay windows and other stuff all in the terminal. Idk where it is though
Zellij - a better way for a cli application to communicate with the terminal
Warp - a terminal emulater that integrates LLM completion natively
Fish - a shell that generates completions automatically from a man-page
They could be refering to the V programming language
I may be missing something, but the only machine learning focused api I know of are AMD’s ROCM, Nvidia’s CUDA, and now Intel’s oneAPI. I haven’t looked into Apple’s machine learning frameworks and I consider vulkan more of a general purpose api than a machine learning one.
Now there are 3 competing standards Edit: 6ish accually
Turing Complete Configuration
Data Based Configuration
To enable the use of flakes, you have to use the ‘extra-expiremental-features flakes’ flag.
Edit: Apparently they are called ‘extra-expiremental-features’ not ‘extra-unstable-features’. Regardless the nix docs explicitly describe them as unstable here
https://nixos.org/manual/nix/unstable/contributing/experimental-features.html
Pros
Cons
I’d consider dual-booting(windows+linux or linux+linux) or just installing a desktop environment. You can login to your wm and they can login to a full de
Congratulations and welcome. I use arch, btw
I use a shared boot partition all the time. I mount my EFI system partion on /efi. Then I bind mount /efi/$OSNAME to /boot in my fstab. Then I just manage my bootloader (typically systemd-boot or refind) manually. Any distros I install are installed in my encrypted btrfs partition within their respected subvolumes
Custom license that doesn’t meet the FSF’s definition. Tldr restrictions on redistribution and minor restrictions on modification. It isn’t on fdroid’s main, but they host a fdroid compatible one with a out of date version of Grayjay