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Can we have a simple description of the problem `kup` solves?

Abierto
#112 1 comentario 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
2/5
Tiempo estimado
1-3 horas
Aptitud para principiantes
35/100
Tipo de issue
Documentación
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
nixos, python

Línea de trabajo

Start by reading the kup source and the existing instructions referenced in the issue, then compare its role with NixOS and the K Framework tooling. Done means adding a concise explanation of the problem kup solves and how it differs from using NixOS alone.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Hi,

I'm new to both K and NixOS, although I've been watching NixOS for a while and wanted to use it. So, a lot is a bit overwhelming.

One thing that is a bit confusing to me, even after searching, is the precise role of kup. I think it's not quite documented anywhere; it's said that it manages the installation of the bits and pieces of K, using NixOS as a backend. What I find is there is instructions of how to do things, which probably is the most important part for most users. And then I found this bit in an old Medium post:

Easy Installation

We have developed a one-line installation tool called kup, which is based on Nix. It provides a simple package manager for K-based projects, allowing a user to install and maintain everything with a simple command. We have made changes to the CLI options to improve the usability of the tools. The image below shows the CLI interface:

I presume kup solves some technical problem that was not entirely trivial using only NixOS. I guess originally I was a bit suspicious (due to my some security background); then I skimmed the source code of kup, and now I'm just curious. :)

Is it something like managing the dependencies between different versions of K Framework tools better than NixOS supports?

I can see that a lot of work has gone into making this user friendly, and I genuinely appreciate it!

Lenguaje dominante
Python
Estrellas
10
Forks
2
Métricas de merge de PR
Sin PR fusionados en 30 d

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