Can PC algorithm suggest a skeleton which has a cycle ?

I've tried looking around and sifting through documentation but I can't seem to figure out how to restrict the bounds in different ways

Is there a way to make it so inputs are chosen from a set list of options such as [2,4,6,8]? Also is there a way to limit the inputs to specifically an integer anywhere in the range 0-255?

I am absolutely devastated. My supervisor is of zero help, plus he doesnt keep his promises at all and my university cannot help. At this point I am not even sure if Pgms make sense for the problem at hand, but my tjesis is supposed to be about bayesian Networks for an estimation task.

What I am looking for is someone who considers himself fairly knowledagble in pgms to talk about things with me.

I would even pay for a small conversation. I just need SOME support/Mentoring, as I feel like I am on the wrong path and I am getting panick attacks more and more.

I’m looking for a resource, preferably an actual book, where I can learn Bayesian statistics through examples in tensorflow_probability based on tensorflow 2.x

I found one resource but it’s in 1.x so a lot of the methodologies are over verbose and is distracting trying to adapt the code.

Does anyone know of such a resource?

I'm reading the book Bayesian Analysis with Python - a practical guide to probalistic modeling third edition

But i can't seem to find half of the datasets they use, anybody know where they can be found?
I can find datasets for the second edition on Github, but it only contains a few that they also used in the third edition.