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
Hi,
when using genaut --ks-nca e.g. genaut --ks-nca=1..10 I get the following
error:
genaut: print_hoa(): automaton is complete but prop_complete()==false
Is this a bug?
What can I do to get the desired result?
I am using spot version 2.4.1 on Ubuntu 16.04.
Best regards,
Florian Barta
