# -*- coding: utf-8 -*- #+TITLE: Custom print of an automaton #+SETUPFILE: setup.org #+HTML_LINK_UP: tut.html This example demonstrates how to iterate over an automaton. We will only show how to do this in C++: the Python bindings for the automata are not yet supporting these low-level iterations, and the shell commands aren't up to the task either. First let's create an example automaton in HOA format. #+BEGIN_SRC sh :results verbatim :exports both ltl2tgba -U -H 'Fa | G(Fb&Fc)' | tee tut21.hoa #+END_SRC #+RESULTS: #+begin_example HOA: v1 name: "Fa | G(Fb & Fc)" States: 4 Start: 0 AP: 3 "a" "b" "c" acc-name: generalized-Buchi 2 Acceptance: 2 Inf(0)&Inf(1) properties: trans-labels explicit-labels trans-acc unambiguous properties: stutter-invariant --BODY-- State: 0 [0] 1 [!0] 2 [!0] 3 State: 1 [t] 1 {0 1} State: 2 [0] 1 [!0] 2 State: 3 [!0&1&2] 3 {0 1} [!0&!1&2] 3 {1} [!0&1&!2] 3 {0} [!0&!1&!2] 3 --END-- #+end_example We now write some C++ to load this automaton [[file:tut20.org][as we did before]], and in =custom_print()= we print it out in a custom way by explicitly iterating over it states and edges. The only tricky part is to print the edge labels. Since they are BDDs, printing them directly would just show the identifiers of BDDs involved. Using =bdd_print_formula= and passing it the BDD dictionary associated to the automaton is one way to print the edge labels. Each automaton stores a vector the atomic propositions it uses. You can iterate on that vector using the =ap()= member function. If you want to convert an atomic proposition (represented by a =formula=) into a BDD, use the =bdd_dict::varnum()= method to obtain the corresponding BDD variable number, and then use for instance =bdd_ithvar()= to convert this BDD variable number into an actual BDD. #+BEGIN_SRC C++ :results verbatim :exports both #include #include #include "parseaut/public.hh" #include "twaalgos/hoa.hh" #include "twa/bddprint.hh" void custom_print(std::ostream& out, spot::twa_graph_ptr& aut); int main() { spot::parsed_aut_ptr pa = parse_aut("tut21.hoa", spot::make_bdd_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; } custom_print(std::cout, pa->aut); } void custom_print(std::ostream& out, spot::twa_graph_ptr& aut) { // We need the dictionary to print the BDDs that label the edges const auto& dict = aut->get_dict(); // Some meta-data... out << "Acceptance: " << aut->get_acceptance() << '\n'; out << "Number of sets: " << aut->num_sets() << '\n'; out << "Number of states: " << aut->num_states() << '\n'; out << "Number of edges: " << aut->num_edges() << '\n'; out << "Initial state: " << aut->get_init_state_number() << '\n'; out << "Atomic propositions:"; for (spot::formula ap: aut->ap()) out << ' ' << ap << " (=" << dict->varnum(ap) << ')'; out << '\n'; // Arbitrary data can be attached to automata, by giving them // a type and a name. The HOA parser and printer both use the // "automaton-name" to name the automaton. if (auto name = aut->get_named_prop("automaton-name")) out << "Name: " << *name << '\n'; // For the following prop_*() methods, true means "it's sure", false // means "I don't know". These properties correspond to bits stored // in the automaton, so they can be queried in constant time. They // are only set whenever they can be determined at a cheap cost: for // instance any algorithm that always produce deterministic automata // would set the deterministic bit on its output. In this example, // the properties that are set come from the "properties:" line of // the input file. out << "Deterministic: " << (aut->prop_deterministic() ? "yes\n" : "maybe\n"); out << "Unambiguous: " << (aut->prop_unambiguous() ? "yes\n" : "maybe\n"); out << "State-Based Acc: " << (aut->prop_state_acc() ? "yes\n" : "maybe\n"); out << "Terminal: " << (aut->prop_terminal() ? "yes\n" : "maybe\n"); out << "Weak: " << (aut->prop_weak() ? "yes\n" : "maybe\n"); out << "Inherently Weak: " << (aut->prop_inherently_weak() ? "yes\n" : "maybe\n"); out << "Stutter Invariant: " << (aut->prop_stutter_invariant() ? "yes\n" : aut->prop_stutter_sensitive() ? "no\n" : "maybe\n"); // States are numbered from 0 to n-1 unsigned n = aut->num_states(); for (unsigned s = 0; s < n; ++s) { out << "State " << s << ":\n"; // The out(s) method returns a fake container that can be // iterated over as if the contents was the edges going // out of s. Each of these edge is a quadruplet // (src,dst,cond,acc). Note that because this returns // a reference, the edge can also be modified. for (auto& t: aut->out(s)) { out << " edge(" << t.src << " -> " << t.dst << ")\n label = "; spot::bdd_print_formula(out, dict, t.cond); out << "\n acc sets = " << t.acc << '\n'; } } } #+END_SRC #+RESULTS: #+begin_example Acceptance: Inf(0)&Inf(1) Number of sets: 2 Number of states: 4 Number of edges: 10 Initial state: 0 Atomic propositions: a (=0) b (=1) c (=2) Name: Fa | G(Fb & Fc) Deterministic: maybe Unambiguous: yes State-Based Acc: maybe Terminal: maybe Weak: maybe Inherently Weak: maybe Stutter Invariant: yes State 0: edge(0 -> 1) label = a acc sets = {} edge(0 -> 2) label = !a acc sets = {} edge(0 -> 3) label = !a acc sets = {} State 1: edge(1 -> 1) label = 1 acc sets = {0,1} State 2: edge(2 -> 1) label = a acc sets = {} edge(2 -> 2) label = !a acc sets = {} State 3: edge(3 -> 3) label = !a & b & c acc sets = {0,1} edge(3 -> 3) label = !a & !b & c acc sets = {1} edge(3 -> 3) label = !a & b & !c acc sets = {0} edge(3 -> 3) label = !a & !b & !c acc sets = {} #+end_example #+BEGIN_SRC sh :results silent :exports results rm -f tut21.hoa #+END_SRC