# -*- coding: utf-8 -*- #+TITLE: Converting a never claim into HOA #+DESCRIPTION: Code example for parsing and printing ω-automata in Spot #+SETUPFILE: setup.org #+HTML_LINK_UP: tut.html The goal is to start from a never claim, as produced by Spin, e.g.: #+BEGIN_SRC sh :results verbatim :exports both spin -f '[]<>foo U bar' > tut20.never cat tut20.never #+END_SRC #+RESULTS: #+begin_example never { /* []<>foo U bar */ T0_init: do :: atomic { ((bar)) -> assert(!((bar))) } :: (1) -> goto T0_S53 od; accept_S42: do :: (1) -> goto T0_S42 od; T0_S42: do :: ((foo)) -> goto accept_S42 :: (1) -> goto T0_S42 od; T0_S53: do :: (1) -> goto T0_S53 :: ((bar) && (foo)) -> goto accept_S42 :: ((bar)) -> goto T0_S42 od; accept_all: skip } #+end_example and convert this into an automaton in [[file:hoa.org][the HOA format]]. Note that the automaton parser of Spot can read automata written either as never claims, in LBTT's format, in ltl2dstar's format or in the HOA format, and there is no need to specify which format you expect. Even if our example uses a never claim as input, the code we write will work with any of those formats. * Shell This is very simple: [[file:autfilt.org][=autfilt=]] can read automata in any of the supported formats, and outputs it in the HOA format by default: #+BEGIN_SRC sh :results verbatim :exports both :wrap SRC hoa autfilt tut20.never #+END_SRC #+RESULTS: #+BEGIN_SRC hoa HOA: v1 States: 5 Start: 0 AP: 2 "bar" "foo" acc-name: Buchi Acceptance: 1 Inf(0) properties: trans-labels explicit-labels state-acc complete --BODY-- State: 0 [0] 1 [t] 2 State: 1 {0} [t] 1 State: 2 [t] 2 [0&1] 3 [0] 4 State: 3 {0} [t] 4 State: 4 [1] 3 [t] 4 --END-- #+END_SRC * Python Another one-liner. The =spot.automaton()= function reads a single automaton, and each automaton has a =to_str()= method that can print in =hoa=, =lbtt=, =spin= (for never claim) or =dot=. #+BEGIN_SRC python :results output :exports both :wrap SRC hoa import spot print(spot.automaton('tut20.never').to_str('hoa')) #+END_SRC #+RESULTS: #+BEGIN_SRC hoa HOA: v1 States: 5 Start: 0 AP: 2 "bar" "foo" acc-name: Buchi Acceptance: 1 Inf(0) properties: trans-labels explicit-labels state-acc complete --BODY-- State: 0 [0] 1 [t] 2 State: 1 {0} [t] 1 State: 2 [t] 2 [0&1] 3 [0] 4 State: 3 {0} [t] 4 State: 4 [1] 3 [t] 4 --END-- #+END_SRC * C++ Parsing an automaton is similar to [[file:tut01.org][parsing an LTL formula]]. The =parse_aut()= function takes a filename and a BDD dictionary (to be discussed later on this page). It returns a shared pointer to a structure that has a couple of important fields: =aborted= is a Boolean telling if the input automaton was voluntarily aborted (a feature of [[file:hoa.org][the HOA format]]), =errors= is a list of syntax errors that occurred while parsing the automaton (printing these errors is up to you), and =aut= is the actual automaton. The parser usually tries to recover from errors, so =aut= may not be null even if =errors= is non-empty. #+BEGIN_SRC C++ :results verbatim :exports both :wrap SRC hoa #include #include #include #include int main() { spot::bdd_dict_ptr dict = spot::make_bdd_dict(); spot::parsed_aut_ptr pa = parse_aut("tut20.never", dict); if (pa->format_errors(std::cerr)) return 1; // This cannot occur when reading a never claim, but // it could while reading a HOA file. if (pa->aborted) { std::cerr << "--ABORT-- read\n"; return 1; } spot::print_hoa(std::cout, pa->aut) << '\n'; return 0; } #+END_SRC #+RESULTS: #+BEGIN_SRC hoa HOA: v1 States: 5 Start: 0 AP: 2 "bar" "foo" acc-name: Buchi Acceptance: 1 Inf(0) properties: trans-labels explicit-labels state-acc complete --BODY-- State: 0 [0] 1 [t] 2 State: 1 {0} [t] 1 State: 2 [t] 2 [0&1] 3 [0] 4 State: 3 {0} [t] 4 State: 4 [1] 3 [t] 4 --END-- #+END_SRC In automata, transitions guards are represented by BDDs. The role of =bdd_dict= object is to keep track of the correspondence between BDD variables and atomic propositions such as =foo= and =bar= in the above example. So each automaton has a shared pointer to some =bdd_dict= (this shared pointer is what the =bdd_dict_ptr= type is), and operations between automata (like a product) can only work on automata that share the same pointer. Here, when we call the automaton parser, we supply the =bdd_dict_ptr= that should be used to do the mapping between atomic propositions and BDD variables. Atomic propositions that were not already registered will get a new BDD variable number, and while existing atomic propositions will reuse the existing variable. In the example for [[file:tut10.org][translating LTL into BA]], we did not specify any =bdd_dict=, because the =translator= object will create a new one by default. However it is possible to supply such a =bdd_dict= to the translator as well. Similarly, in the Python bindings, there is a global =bdd_dict= that is implicitly used for all operations, but it can be specified if needed. * Additional comments There are actually different C++ interfaces to the automaton parser, depending on your use case. For instance the parser is able to read a stream of automata stored in the same file, so that they could be processed in a loop. For this, you would instanciate a =automaton_stream_parser= object and call its =parse()= method in a loop. Each call to this method will either return one automaton, or =nullptr= if there is no more automaton to read. The =parse_aut()= function is actually a simple convenience wrapper that instantiates an =automaton_stream_parser= and calls its =parse()= method once. In Python, you can easily iterate over a file containing multiple automata by doing: #+BEGIN_SRC python :results output :exports code :wrap SRC hoa import spot for aut in spot.automata('tut20.never'): print(aut.to_str('hoa')) #+END_SRC #+RESULTS: #+BEGIN_SRC hoa HOA: v1 States: 5 Start: 0 AP: 2 "bar" "foo" acc-name: Buchi Acceptance: 1 Inf(0) properties: trans-labels explicit-labels state-acc complete --BODY-- State: 0 [0] 1 [t] 2 State: 1 {0} [t] 1 State: 2 [t] 2 [0&1] 3 [0] 4 State: 3 {0} [t] 4 State: 4 [1] 3 [t] 4 --END-- #+END_SRC In fact =spot.automaton()= is just a wrapper around =spot.automata()= to return only the first automaton. Still in Python, both =spot.automaton()= and =spot.automata()= can accept three types of arguments: - file names (such as in the above examples) - commands that output automata on their standard output. Those can be any shell expression, and must have '=|=' as their last character. For instance here is how to convert Spin's output into LBTT's formula without using temporary files. #+BEGIN_SRC python :results output :exports both import spot print(spot.automaton('spin -f "[]<>p0" |').to_str('lbtt')) #+END_SRC #+RESULTS: : 2 1 : 0 1 -1 : 1 p0 : 0 t : -1 : 1 0 0 -1 : 0 t : -1 : - a string that includes new lines, in which case it is assumed to describe an automaton (or multiple automata) and is passed directly to the parser: #+BEGIN_SRC python :results output :exports both import spot print(spot.automaton(""" HOA: v1 States: 2 Start: 0 AP: 1 "a" Acceptance: 1 Inf(0) --BODY-- State: 0 [0] 1 State: 1 {0} [t] 1 --END-- """).to_str('spin')) #+END_SRC #+RESULTS: : never { : T0_init: : if : :: ((a)) -> goto accept_all : fi; : accept_all: : skip : } : #+BEGIN_SRC sh :results silent :exports results rm -f tut20.never #+END_SRC