hi!
With the aid of SPOT I am developing a counter-example guided synthesizer
in python. See [1] if interested for details.
My question is:
I am trying to parse twa_run in python,
namely, parse the labels of the each step (`spot.impl.step`).
Is there a python way to walk through BDD?
(The label is a simple cube expressed in BDD, and I need to convert it into
my internal structure)
(yes, this is rather a question about python interface for buddy)
(no, that is not feature request:) if not possible, I will simply print the
label and parse the string, that is not crucial)
[1]
The idea is
- guess the model,
- then model check it and get a counter-example
- then encode the counter-example into the "guesser" (which uses an SMT
solver)
thanks,
Ayrat
The web page https://spot.lrde.epita.fr/ipynb/stutter-inv.html shows how to use Spot to highlight the states in a Büchi automaton which have a stutter invariant language. It says "Such a procedure gives us map of where POR can be enabled when model checking using such an automaton.” Does anyone know a reference for this technique? I mean specifically the idea that POR is something that can be turned on or off depending on the current state of the property automaton. I feel I’ve seen that somewhere, but don’t remember where.
Thanks!
-Steve
