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