5796114e37
* src/tgbaalgos/postproc.hh, src/tgbaalgos/postproc.cc: Honor the "simul" option in the option_map. (do_simul, do_degen): New method to wrap the algorithms that may be altered via option_map. * src/bin/man/ltl2tgba.x (simul): Document this option.
108 lines
3.4 KiB
C++
108 lines
3.4 KiB
C++
// -*- coding: utf-8 -*-
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// Copyright (C) 2012, 2013 Laboratoire de Recherche et Développement
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// de 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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#ifndef SPOT_TGBAALGOS_POSTPROC_HH
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# define SPOT_TGBAALGOS_POSTPROC_HH
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#include "tgba/tgba.hh"
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namespace spot
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{
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class option_map;
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/// \addtogroup tgba_reduction
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/// @{
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/// \brief Wrap TGBA/BA/Monitor post-processing algorithms in an
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/// easy interface.
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///
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/// This class is a shell around scc_filter(),
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/// minimize_obligation(), simulation(), iterated_simulations(), and
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/// degeneralize(). These different algorithms will be combined
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/// depending on the various options set with set_type(),
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/// set_pref(), and set_level().
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///
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/// This helps hiding some of the logic required to combine these
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/// simplifications efficiently (e.g., there is no point calling
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/// degeneralize() or any simulation when minimize_obligation()
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/// succeeded.)
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///
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/// Use set_pref() method to specify whether you favor
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/// deterministic automata or small automata. If you don't care,
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/// less post processing will be done.
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///
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/// The set_level() method lets you set the optimization level.
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/// A higher level enables more costly post-processings. For instance
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/// pref=Small,level=High will try two different post-processings
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/// (one with minimize_obligation(), and one with
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/// iterated_simulations()) an keep the smallest result.
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/// pref=Small,level=Medium will only try the iterated_simulations()
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/// when minimized_obligation failed to produce an automaton smaller
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/// than its input. pref=Small,level=Low will only run
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/// simulation().
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class postprocessor
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{
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public:
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/// \brief Construct a postprocessor.
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///
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/// The \a opt argument can be used to pass extra fine-tuning
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/// options used for debugging or benchmarking.
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postprocessor(const option_map* opt = 0);
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enum output_type { TGBA, BA, Monitor };
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void
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set_type(output_type type)
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{
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type_ = type;
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}
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enum output_pref { Any, Small, Deterministic };
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void
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set_pref(output_pref pref)
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{
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pref_ = pref;
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}
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enum optimization_level { Low, Medium, High };
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void
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set_level(optimization_level level)
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{
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level_ = level;
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}
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/// Return the optimized automaton and delete \a input_disown.
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const tgba* run(const tgba* input_disown, const ltl::formula* f);
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private:
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const tgba* do_simul(const tgba* input);
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const tgba* do_degen(const tgba* input);
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output_type type_;
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output_pref pref_;
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optimization_level level_;
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// Fine-tuning options fetched from the option_map.
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bool degen_reset_;
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bool degen_order_;
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bool degen_cache_;
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int simul_;
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};
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/// @}
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}
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#endif // SPOT_TGBAALGOS_POSTPROC_HH
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