* src/tgbaalgos/stripacc.cc, src/tgbaalgos/stripacc.hh: New files. * src/tgbaalgos/Makefile.am: Add them. * src/tgbaalgos/postproc.cc, src/tgbaalgos/postproc.hh: Add a Monitor output option. * src/bin/ltl2tgba.cc: Add a --monitor/-M option. * NEWS: Mention monitors. * src/tgba/tgbaexplicit.hh (is_accepting_state): Fix for the case where the automaton has no acceptance set.
161 lines
3.5 KiB
C++
161 lines
3.5 KiB
C++
// -*- coding: utf-8 -*-
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// Copyright (C) 2012 Laboratoire de Recherche et Développement de
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// l'Epita (LRDE).
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//
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// This file is part of Spot, a model checking library.
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//
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// Spot is free software; you can redistribute it and/or modify it
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// under the terms of the GNU General Public License as published by
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// the Free Software Foundation; either version 3 of the License, or
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// (at your option) any later version.
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//
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// Spot is distributed in the hope that it will be useful, but WITHOUT
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// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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// or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
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// License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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#include "postproc.hh"
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#include "minimize.hh"
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#include "simulation.hh"
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#include "sccfilter.hh"
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#include "degen.hh"
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#include "stats.hh"
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#include "stripacc.hh"
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namespace spot
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{
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unsigned count_states(const tgba* a)
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{
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// FIXME: the number of states can be found more
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// efficiently in explicit automata.
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tgba_statistics st = stats_reachable(a);
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return st.states;
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}
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const tgba* postprocessor::run(const tgba* a, const ltl::formula* f)
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{
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if (type_ == TGBA && pref_ == Any && level_ == Low)
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return a;
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// Remove useless SCCs.
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{
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const tgba* s = scc_filter(a, false);
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delete a;
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a = s;
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}
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if (type_ == Monitor)
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{
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if (pref_ == Deterministic)
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{
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const tgba* m = minimize_monitor(a);
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delete a;
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return m;
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}
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else
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{
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const tgba* m = strip_acceptance(a);
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delete a;
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a = m;
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}
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if (pref_ == Any)
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return a;
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const tgba* sim;
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if (level_ == Low)
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sim = simulation(a);
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else
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sim = iterated_simulations(a);
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if (level_ != High)
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{
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delete a;
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return sim;
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}
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// For Small,High we return the smallest between the output of
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// the simulation, and that of the deterministic minimization.
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const tgba* m = minimize_monitor(a);
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delete a;
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if (count_states(m) > count_states(sim))
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{
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delete m;
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return sim;
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}
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else
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{
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delete sim;
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return m;
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}
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}
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if (pref_ == Any)
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{
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if (type_ == BA)
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{
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const tgba* d = degeneralize(a);
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delete a;
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a = d;
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}
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return a;
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}
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const tgba* wdba = 0;
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const tgba* sim = 0;
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// (Small,Low) is the only configuration where we do not run
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// WDBA-minimization.
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if (pref_ != Small || level_ != Low)
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{
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bool reject_bigger = (pref_ == Small) && (level_ == Medium);
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wdba = minimize_obligation(a, f, 0, reject_bigger);
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if (wdba == a) // Minimization failed.
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wdba = 0;
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// The WDBA is a BA, so no degeneralization required.
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}
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// Run a simulation when wdba failed (or was not run), or
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// at hard levels if we want a small output.
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if (!wdba || (level_ == High && pref_ == Small))
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{
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if (level_ == Low)
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sim = simulation(a);
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else
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sim = iterated_simulations(a);
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// Degeneralize the result of the simulation if needed.
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if (type_ == BA)
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{
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const tgba* d = degeneralize(sim);
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delete sim;
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sim = d;
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}
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}
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delete a;
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if (wdba && sim)
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{
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if (count_states(wdba) > count_states(sim))
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{
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delete wdba;
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wdba = 0;
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}
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else
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{
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delete sim;
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sim = 0;
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}
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}
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if (sim && type_ == TGBA && level_ == High)
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{
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const tgba* s = scc_filter(sim, true);
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delete sim;
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return s;
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}
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return wdba ? wdba : sim;
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}
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}
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