b1800e382c
src/tgbatest/emptchke.test, src/tgbatest/ltl2tgba.cc, src/tgbatest/randtgba.cc, src/tgbatest/tba_samples_from_spin.test: Adjust names of emptiness check algorithms.
1581 lines
48 KiB
C++
1581 lines
48 KiB
C++
// Copyright (C) 2004, 2005 Laboratoire d'Informatique de Paris 6 (LIP6),
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// département Systèmes Répartis Coopératifs (SRC), Université Pierre
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// et Marie Curie.
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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 2 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 Spot; see the file COPYING. If not, write to the Free
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// Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
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// 02111-1307, USA.
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#include <cassert>
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#include <cstdlib>
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#include <iostream>
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#include <iomanip>
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#include <sstream>
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#include <fstream>
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#include <string>
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#include <utility>
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#include <set>
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#include <string>
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#include "ltlparse/public.hh"
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#include "ltlvisit/apcollect.hh"
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#include "ltlvisit/destroy.hh"
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#include "ltlvisit/randomltl.hh"
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#include "ltlvisit/tostring.hh"
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#include "ltlvisit/length.hh"
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#include "ltlvisit/reduce.hh"
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#include "tgbaalgos/randomgraph.hh"
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#include "tgbaalgos/save.hh"
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#include "tgbaalgos/stats.hh"
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#include "ltlenv/defaultenv.hh"
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#include "ltlast/atomic_prop.hh"
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#include "tgbaalgos/dotty.hh"
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#include "tgbaparse/public.hh"
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#include "misc/random.hh"
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#include "tgba/tgbatba.hh"
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#include "tgba/tgbaproduct.hh"
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#include "misc/timer.hh"
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#include "tgbaalgos/ltl2tgba_fm.hh"
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#include "tgbaalgos/emptiness.hh"
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#include "tgbaalgos/emptiness_stats.hh"
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#include "tgbaalgos/gtec/gtec.hh"
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#include "tgbaalgos/gv04.hh"
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#include "tgbaalgos/magic.hh"
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#include "tgbaalgos/reducerun.hh"
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#include "tgbaalgos/se05.hh"
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#include "tgbaalgos/tau03.hh"
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#include "tgbaalgos/tau03opt.hh"
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#include "tgbaalgos/replayrun.hh"
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spot::emptiness_check*
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couvreur99_cons(const spot::tgba* a)
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{
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return new spot::couvreur99_check(a);
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}
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spot::emptiness_check*
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couvreur99_shy_cons(const spot::tgba* a)
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{
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return new spot::couvreur99_check_shy(a);
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}
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spot::emptiness_check*
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couvreur99_shy_minus_cons(const spot::tgba* a)
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{
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return new spot::couvreur99_check_shy(a, false);
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}
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spot::emptiness_check*
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bsh_ms_cons(const spot::tgba* a)
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{
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return spot::bit_state_hashing_magic_search(a, 4096);
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}
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spot::emptiness_check*
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bsh_se05_cons(const spot::tgba* a)
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{
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return spot::bit_state_hashing_se05_search(a, 4096);
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}
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struct ec_algo
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{
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const char* name;
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spot::emptiness_check* (*construct)(const spot::tgba*);
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unsigned int min_acc;
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unsigned int max_acc;
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bool safe;
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};
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ec_algo ec_algos[] =
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{
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{ "Cou99", couvreur99_cons, 0, -1U, true },
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{ "Cou99_shy-", couvreur99_shy_minus_cons, 0, -1U, true },
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{ "Cou99_shy", couvreur99_shy_cons, 0, -1U, true },
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{ "CVWY90", spot::explicit_magic_search, 0, 1, true },
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{ "CVWY90_bsh", bsh_ms_cons, 0, 1, false },
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{ "GV04", spot::explicit_gv04_check, 0, 1, true },
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{ "SE05", spot::explicit_se05_search, 0, 1, true },
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{ "SE05_bsh", bsh_se05_cons, 0, 1, false },
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{ "Tau03", spot::explicit_tau03_search, 1, -1U, true },
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{ "Tau03_opt", spot::explicit_tau03_opt_search, 0, -1U, true },
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};
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spot::emptiness_check*
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cons_emptiness_check(int num, const spot::tgba* a,
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const spot::tgba* degen, unsigned int n_acc)
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{
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if (n_acc < ec_algos[num].min_acc || n_acc > ec_algos[num].max_acc)
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a = degen;
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if (a)
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return ec_algos[num].construct(a);
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return 0;
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}
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void
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syntax(char* prog)
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{
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std::cerr << "Usage: "<< prog << " [OPTIONS...] PROPS..." << std::endl
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<< std::endl
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<< "Options:" << std::endl
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<< " -0 suppress default output, just generate the graph"
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<< " in memory" << std::endl
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<< " -1 produce minimal output dedicated to the paper"
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<< " -a N F number of acceptance conditions and probability that"
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<< " one is true" << std::endl
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<< " [0 0.0]" << std::endl
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<< " -d F density of the graph [0.2]" << std::endl
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<< " -dp dump priorities, do not generate any formula"
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<< std::endl
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<< " -D degeneralize TGBA for emptiness-check algorithms that"
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<< " would" << std::endl
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<< " otherwise be skipped (implies -e)" << std::endl
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<< " -e N compare result of all "
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<< "emptiness checks on N randomly generated graphs" << std::endl
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<< " -f N the size of the formula [15]" << std::endl
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<< " -F N number of formulae to generate [0]" << std::endl
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<< " -g output in dot format" << std::endl
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<< " -i FILE do not generate formulae, read them from FILE"
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<< std::endl
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<< " -l N simplify formulae using all available reductions"
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<< " and reject those" << std::endl
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<< " strictly smaller than N" << std::endl
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<< " -m try to reduce runs, in a second pass (implies -r)"
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<< std::endl
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<< " -n N number of nodes of the graph [20]" << std::endl
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<< " -O ALGO run Only ALGO" << std::endl
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<< " -p S priorities to use" << std::endl
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<< " -r compute and replay acceptance runs (implies -e)"
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<< std::endl
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<< " -R N repeat each emptiness-check and accepting run "
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<< "computation N times" << std::endl
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<< " -s N seed for the random number generator" << std::endl
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<< " -t F probability of the atomic propositions to be true"
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<< " [0.5]" << std::endl
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<< " -u generate unique formulae"
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<< std::endl
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<< " -z display statistics about computed accepting runs"
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<< std::endl
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<< " -Z like -z, but print extra statistics after the run"
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<< " of each algorithm" << std::endl
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<< "Where:" << std::endl
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<< " F are floats between 0.0 and 1.0 inclusive" << std::endl
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<< " E are floating values" << std::endl
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<< " S are `KEY=E, KEY=E, ...' strings" << std::endl
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<< " N are positive integers" << std::endl
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<< " PROPS are the atomic properties to use on transitions"
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<< std::endl
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<< "Use -dp to see the list of KEYs." << std::endl;
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exit(2);
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}
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int
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to_int(const char* s)
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{
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char* endptr;
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int res = strtol(s, &endptr, 10);
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if (*endptr)
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{
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std::cerr << "Failed to parse `" << s << "' as an integer." << std::endl;
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exit(1);
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}
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return res;
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}
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float
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to_float(const char* s)
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{
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char* endptr;
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// Do not use strtof(), it does not exist on Solaris 9.
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float res = strtod(s, &endptr);
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if (*endptr)
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{
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std::cerr << "Failed to parse `" << s << "' as a float." << std::endl;
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exit(1);
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}
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return res;
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}
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struct ec_stat
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{
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int max_tgba_states;
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int tot_tgba_states;
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int min_states;
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int max_states;
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int tot_states;
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int min_transitions;
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int max_transitions;
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int tot_transitions;
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int min_max_depth;
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int max_max_depth;
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int tot_max_depth;
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int n;
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ec_stat()
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: n(0)
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{
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}
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void
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count(const spot::ec_statistics* ec)
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{
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int s = ec->states();
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int t = ec->transitions();
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int m = ec->max_depth();
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if (n++)
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{
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min_states = std::min(min_states, s);
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max_states = std::max(max_states, s);
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tot_states += s;
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min_transitions = std::min(min_transitions, t);
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max_transitions = std::max(max_transitions, t);
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tot_transitions += t;
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min_max_depth = std::min(min_max_depth, m);
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max_max_depth = std::max(max_max_depth, m);
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tot_max_depth += m;
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}
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else
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{
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min_states = max_states = tot_states = s;
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min_transitions = max_transitions = tot_transitions = t;
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min_max_depth = max_max_depth = tot_max_depth = m;
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}
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}
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};
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struct ec_ratio_stat
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{
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float min_states;
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float max_states;
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float tot_states;
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float min_transitions;
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float max_transitions;
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float tot_transitions;
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float min_depth;
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float max_depth;
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float tot_depth;
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int n;
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ec_ratio_stat()
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: n(0)
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{
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}
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void
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count(const spot::ec_statistics* ec, const spot::tgba* a)
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{
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spot::tgba_statistics a_size = spot::stats_reachable(a);
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float ms = ec->states() / static_cast<float>(a_size.states);
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float mt = ec->transitions() / static_cast<float>(a_size.transitions);
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float mm = ec->max_depth() / static_cast<float>(a_size.states);
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if (n++)
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{
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min_states = std::min(min_states, ms);
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max_states = std::max(max_states, ms);
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tot_states += ms;
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min_transitions = std::min(min_transitions, mt);
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max_transitions = std::max(max_transitions, mt);
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tot_transitions += mt;
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min_depth = std::min(min_depth, mm);
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max_depth = std::max(max_depth, mm);
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tot_depth += mm;
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}
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else
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{
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min_states = max_states = tot_states = ms;
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min_transitions = max_transitions = tot_transitions = mt;
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min_depth = max_depth = tot_depth = mm;
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}
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}
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};
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struct acss_stat
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{
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int min_states;
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int max_states;
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int tot_states;
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int n;
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acss_stat()
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: n(0)
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{
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}
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void
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count(const spot::acss_statistics* acss)
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{
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int s = acss->acss_states();
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if (n++)
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{
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min_states = std::min(min_states, s);
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max_states = std::max(max_states, s);
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tot_states += s;
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}
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else
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{
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min_states = max_states = tot_states = s;
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}
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}
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};
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struct acss_ratio_stat
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{
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float min_states;
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float max_states;
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float tot_states;
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int n;
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acss_ratio_stat()
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: n(0)
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{
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}
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void
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count(const spot::acss_statistics* acss, const spot::tgba* a)
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{
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spot::tgba_statistics a_size = spot::stats_reachable(a);
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float ms = acss->acss_states() / static_cast<float>(a_size.states);
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if (n++)
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{
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min_states = std::min(min_states, ms);
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max_states = std::max(max_states, ms);
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tot_states += ms;
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}
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else
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{
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min_states = max_states = tot_states = ms;
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}
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}
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};
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struct ars_stat
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{
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int min_prefix_states;
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int max_prefix_states;
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int tot_prefix_states;
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int min_cycle_states;
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int max_cycle_states;
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int tot_cycle_states;
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int n;
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ars_stat()
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: n(0)
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{
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}
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void
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count(const spot::ars_statistics* acss)
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{
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int p = acss->ars_prefix_states();
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int c = acss->ars_cycle_states();
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if (n++)
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{
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min_prefix_states = std::min(min_prefix_states, p);
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max_prefix_states = std::max(max_prefix_states, p);
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tot_prefix_states += p;
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min_cycle_states = std::min(min_cycle_states, c);
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max_cycle_states = std::max(max_cycle_states, c);
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tot_cycle_states += c;
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}
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else
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{
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min_prefix_states = max_prefix_states = tot_prefix_states = p;
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min_cycle_states = max_cycle_states = tot_cycle_states = c;
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}
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}
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};
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struct ars_ratio_stat
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{
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float min_prefix_states;
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float max_prefix_states;
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float tot_prefix_states;
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float min_cycle_states;
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float max_cycle_states;
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float tot_cycle_states;
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int n;
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ars_ratio_stat()
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: n(0)
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{
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}
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void
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count(const spot::ars_statistics* acss, const spot::tgba* a)
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{
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spot::tgba_statistics a_size = spot::stats_reachable(a);
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float mp = acss->ars_prefix_states() / static_cast<float>(a_size.states);
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float mc = acss->ars_cycle_states() / static_cast<float>(a_size.states);
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if (n++)
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{
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min_prefix_states = std::min(min_prefix_states, mp);
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max_prefix_states = std::max(max_prefix_states, mp);
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tot_prefix_states += mp;
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min_cycle_states = std::min(min_cycle_states, mc);
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max_cycle_states = std::max(max_cycle_states, mc);
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tot_cycle_states += mc;
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}
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else
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{
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min_prefix_states = max_prefix_states = tot_prefix_states = mp;
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min_cycle_states = max_cycle_states = tot_cycle_states = mc;
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}
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}
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};
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struct ar_stat
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{
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int min_prefix;
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int max_prefix;
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int tot_prefix;
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int min_cycle;
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int max_cycle;
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int tot_cycle;
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int min_run;
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int max_run;
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int n;
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ar_stat()
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: n(0)
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{
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}
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void
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count(const spot::tgba_run* run)
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{
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int p = run->prefix.size();
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int c = run->cycle.size();
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if (n++)
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{
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min_prefix = std::min(min_prefix, p);
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max_prefix = std::max(max_prefix, p);
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tot_prefix += p;
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min_cycle = std::min(min_cycle, c);
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max_cycle = std::max(max_cycle, c);
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tot_cycle += c;
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min_run = std::min(min_run, c + p);
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max_run = std::max(max_run, c + p);
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}
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else
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{
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min_prefix = max_prefix = tot_prefix = p;
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min_cycle = max_cycle = tot_cycle = c;
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min_run = max_run = c + p;
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}
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}
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};
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typedef std::map<std::string, ec_stat> ec_stats_type;
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ec_stats_type ec_stats;
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typedef std::map<std::string, ec_ratio_stat> ec_ratio_stat_type;
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ec_ratio_stat_type glob_ec_ratio_stats;
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typedef std::map<int, ec_ratio_stat_type > ec_ratio_stats_type;
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ec_ratio_stats_type ec_ratio_stats;
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typedef std::map<std::string, acss_stat> acss_stats_type;
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acss_stats_type acss_stats;
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typedef std::map<std::string, acss_ratio_stat> acss_ratio_stats_type;
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acss_ratio_stats_type acss_ratio_stats;
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typedef std::map<std::string, ars_stat> ars_stats_type;
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ars_stats_type ars_stats;
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typedef std::map<std::string, ars_ratio_stat> ars_ratio_stats_type;
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ars_ratio_stats_type ars_ratio_stats;
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typedef std::map<std::string, ar_stat> ar_stats_type;
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ar_stats_type ar_stats; // Statistics about accepting runs.
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ar_stats_type mar_stats; // ... about minimized accepting runs.
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void
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print_ec_stats(const ec_stats_type& ec_stats, bool opt_paper = false)
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{
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std::ios::fmtflags old = std::cout.flags();
|
|
if (!opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << "Statistics about emptiness checkers:" << std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " | states | transitions |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | min < mean < max | n"
|
|
<< std::endl
|
|
<< std::setw(79) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ec_stats_type::const_iterator i = ec_stats.begin();
|
|
i != ec_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_states
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_states) / i->second.n
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_states
|
|
<< " |"
|
|
<< std::setw(6) << i->second.min_transitions
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_transitions) / i->second.n
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_transitions
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
std::cout << std::setw(79) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl
|
|
<< std::setw(22) << ""
|
|
<< " | maximal depth |"
|
|
<< std::endl
|
|
<< std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | n"
|
|
<< std::endl
|
|
<< std::setw(53) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ec_stats_type::const_iterator i = ec_stats.begin();
|
|
i != ec_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6)
|
|
<< i->second.min_max_depth
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_max_depth) / i->second.n
|
|
<< " "
|
|
<< std::setw(6)
|
|
<< i->second.max_max_depth
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_ar_stats(ar_stats_type& ar_stats, const std::string s,
|
|
bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (!opt_paper)
|
|
{
|
|
std::cout << std::endl << s << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << std::setw(22) << ""
|
|
<< " | prefix | cycle |"
|
|
<< std::endl
|
|
<< std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | min < mean < max | n"
|
|
<< std::endl
|
|
<< std::setw(79) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ar_stats_type::const_iterator i = ar_stats.begin();
|
|
i != ar_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_prefix
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_prefix) / i->second.n
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_prefix
|
|
<< " |"
|
|
<< std::setw(6) << i->second.min_cycle
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_cycle) / i->second.n
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_cycle
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
std::cout << std::setw(79) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl
|
|
<< std::setw(22) << ""
|
|
<< " | runs | total |"
|
|
<< std::endl <<
|
|
std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | pre. cyc. runs | n"
|
|
<< std::endl
|
|
<< std::setw(79) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ar_stats_type::const_iterator i = ar_stats.begin();
|
|
i != ar_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6)
|
|
<< i->second.min_run
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_prefix
|
|
+ i->second.tot_cycle) / i->second.n
|
|
<< " "
|
|
<< std::setw(6)
|
|
<< i->second.max_run
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_prefix
|
|
<< " "
|
|
<< std::setw(6) << i->second.tot_cycle
|
|
<< " "
|
|
<< std::setw(8) << i->second.tot_prefix + i->second.tot_cycle
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_ec_ratio_stats(const std::string& s,
|
|
const ec_ratio_stat_type& ec_ratio_stats,
|
|
bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << "Ratios about empt. check (" << s << ")" << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
for (ec_ratio_stat_type::const_iterator i = ec_ratio_stats.begin();
|
|
i != ec_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first
|
|
<< " " << std::setw(8)
|
|
<< (i->second.tot_states / i->second.n) * 100.
|
|
<< " " << std::setw(8)
|
|
<< (static_cast<float>(i->second.tot_transitions) /
|
|
i->second.n) * 100.
|
|
<< " " << std::setw(8)
|
|
<< (static_cast<float>(i->second.tot_depth) /
|
|
i->second.n) * 100.
|
|
<< " " << std::setw(4)
|
|
<< i->second.n
|
|
<< std::endl;
|
|
}
|
|
else
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
std::cout << "Ratios in case of non-emptiness (" << s << ")"
|
|
<< std::endl;
|
|
std::cout << "<for all algorithms, the reference size is the one of"
|
|
<< " the generalized automaton>" << std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " | % states | % transitions |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | min < mean < max | n"
|
|
<< std::endl
|
|
<< std::setw(79) << std::setfill('-') << ""
|
|
<< std::setfill(' ') << std::endl;
|
|
for (ec_ratio_stat_type::const_iterator i = ec_ratio_stats.begin();
|
|
i != ec_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_states * 100.
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (i->second.tot_states / i->second.n) * 100.
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_states * 100.
|
|
<< " |"
|
|
<< std::setw(6) << i->second.min_transitions * 100.
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (i->second.tot_transitions / i->second.n) * 100.
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_transitions * 100.
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
std::cout << std::setw(79) << std::setfill('-') << ""
|
|
<< std::setfill(' ') << std::endl
|
|
<< std::setw(22) << ""
|
|
<< " | % maximal depth |"
|
|
<< std::endl
|
|
<< std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | n"
|
|
<< std::endl
|
|
<< std::setw(53) << std::setfill('-') << ""
|
|
<< std::setfill(' ') << std::endl;
|
|
for (ec_ratio_stat_type::const_iterator i = ec_ratio_stats.begin();
|
|
i != ec_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6)
|
|
<< i->second.min_depth * 100.
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (i->second.tot_depth / i->second.n) * 100.
|
|
<< " "
|
|
<< std::setw(6)
|
|
<< i->second.max_depth * 100.
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_acss_stats(const acss_stats_type& acss_stats, bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (!opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << "Statistics about accepting cycle search space:"
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " | states |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (acss_stats_type::const_iterator i = acss_stats.begin();
|
|
i != acss_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_states
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< static_cast<float>(i->second.tot_states) / i->second.n
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_states
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_states
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_acss_ratio_stats(const acss_ratio_stats_type& acss_ratio_stats,
|
|
bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << "Ratios about search space" << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
for (acss_ratio_stats_type::const_iterator i = acss_ratio_stats.begin();
|
|
i != acss_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first
|
|
<< " " << std::setw(8)
|
|
<< (i->second.tot_states / i->second.n) * 100.
|
|
<< std::endl;
|
|
}
|
|
else
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << "Ratios about accepting cycle search space:"
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " | % states |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (acss_ratio_stats_type::const_iterator i = acss_ratio_stats.begin();
|
|
i != acss_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_states * 100.
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (i->second.tot_states / i->second.n) * 100.
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_states * 100.
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_states * 100.
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_ars_stats(const ars_stats_type& ars_stats, bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (!opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << "Statistics about accepting run computation:"
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " |(non unique) states for prefix |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ars_stats_type::const_iterator i = ars_stats.begin();
|
|
i != ars_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_prefix_states
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (static_cast<float>(i->second.tot_prefix_states)
|
|
/ i->second.n)
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_prefix_states
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_prefix_states
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " | (non unique) states for cycle |"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ars_stats_type::const_iterator i = ars_stats.begin();
|
|
i != ars_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_cycle_states
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (static_cast<float>(i->second.tot_cycle_states)
|
|
/ i->second.n)
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_cycle_states
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_cycle_states
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
void
|
|
print_ars_ratio_stats(const ars_ratio_stats_type& ars_ratio_stats,
|
|
bool opt_paper = false)
|
|
{
|
|
std::ios::fmtflags old = std::cout.flags();
|
|
if (opt_paper)
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << "Ratios about acc. run computation" << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
for (ars_ratio_stats_type::const_iterator i = ars_ratio_stats.begin();
|
|
i != ars_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first
|
|
<< " " << std::setw(8)
|
|
<< (i->second.tot_cycle_states / i->second.n) * 100.
|
|
<< std::endl;
|
|
}
|
|
else
|
|
{
|
|
std::cout << std::endl;
|
|
std::cout << std::right << std::fixed << std::setprecision(1);
|
|
|
|
std::cout << "Ratios about accepting run computation:"
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " |%(non unique) states for prefix|"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ars_ratio_stats_type::const_iterator i = ars_ratio_stats.begin();
|
|
i != ars_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_prefix_states * 100.
|
|
<< " " << std::setw(8)
|
|
<< (i->second.tot_prefix_states / i->second.n) * 100.
|
|
<< " " << std::setw(6)
|
|
<< i->second.max_prefix_states * 100.
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_prefix_states * 100.
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
std::cout << std::setw(22) << ""
|
|
<< " |% (non unique) states for cycle|"
|
|
<< std::endl << std::setw(22) << "algorithm"
|
|
<< " | min < mean < max | total | n"
|
|
<< std::endl
|
|
<< std::setw(61) << std::setfill('-') << "" << std::setfill(' ')
|
|
<< std::endl;
|
|
for (ars_ratio_stats_type::const_iterator i = ars_ratio_stats.begin();
|
|
i != ars_ratio_stats.end(); ++i)
|
|
std::cout << std::setw(22) << i->first << " |"
|
|
<< std::setw(6) << i->second.min_cycle_states * 100.
|
|
<< " "
|
|
<< std::setw(8)
|
|
<< (i->second.tot_cycle_states / i->second.n) * 100.
|
|
<< " "
|
|
<< std::setw(6) << i->second.max_cycle_states * 100.
|
|
<< " |"
|
|
<< std::setw(6) << i->second.tot_cycle_states * 100.
|
|
<< " |"
|
|
<< std::setw(4) << i->second.n
|
|
<< std::endl;
|
|
}
|
|
std::cout << std::setiosflags(old);
|
|
}
|
|
|
|
spot::ltl::formula*
|
|
generate_formula(const spot::ltl::random_ltl& rl, int opt_f, int opt_s,
|
|
int opt_l = 0, bool opt_u = false)
|
|
{
|
|
static std::set<std::string> unique;
|
|
|
|
int max_tries_u = 1000;
|
|
while (max_tries_u--)
|
|
{
|
|
spot::srand(opt_s++);
|
|
spot::ltl::formula* f;
|
|
int max_tries_l = 1000;
|
|
while (max_tries_l--)
|
|
{
|
|
f = rl.generate(opt_f);
|
|
if (opt_l)
|
|
{
|
|
spot::ltl::formula* g = reduce(f);
|
|
spot::ltl::destroy(f);
|
|
if (spot::ltl::length(g) < opt_l)
|
|
{
|
|
spot::ltl::destroy(g);
|
|
continue;
|
|
}
|
|
f = g;
|
|
}
|
|
else
|
|
{
|
|
assert(spot::ltl::length(f) <= opt_f);
|
|
}
|
|
break;
|
|
}
|
|
if (max_tries_l < 0)
|
|
{
|
|
assert(opt_l);
|
|
std::cerr << "Failed to generate non-reducible formula "
|
|
<< "of size " << opt_l << " or more." << std::endl;
|
|
return 0;
|
|
}
|
|
std::string txt = spot::ltl::to_string(f);
|
|
if (!opt_u || unique.insert(txt).second)
|
|
{
|
|
return f;
|
|
}
|
|
spot::ltl::destroy(f);
|
|
}
|
|
assert(opt_u);
|
|
std::cerr << "Failed to generate another unique formula."
|
|
<< std::endl;
|
|
return 0;
|
|
}
|
|
|
|
int
|
|
main(int argc, char** argv)
|
|
{
|
|
bool opt_paper = false;
|
|
bool opt_dp = false;
|
|
int opt_f = 15;
|
|
int opt_F = 0;
|
|
char* opt_p = 0;
|
|
char* opt_i = 0;
|
|
std::istream *formula_file = 0;
|
|
int opt_l = 0;
|
|
bool opt_u = false;
|
|
|
|
int opt_n_acc = 0;
|
|
float opt_a = 0.0;
|
|
float opt_d = 0.2;
|
|
int opt_n = 20;
|
|
float opt_t = 0.5;
|
|
|
|
bool opt_0 = false;
|
|
bool opt_z = false;
|
|
bool opt_Z = false;
|
|
|
|
int opt_R = 0;
|
|
|
|
const char* opt_O = 0;
|
|
|
|
bool opt_dot = false;
|
|
int opt_ec = 0;
|
|
int opt_ec_seed = 0;
|
|
bool opt_reduce = false;
|
|
bool opt_replay = false;
|
|
bool opt_degen = false;
|
|
int argn = 0;
|
|
|
|
int exit_code = 0;
|
|
|
|
spot::tgba* formula = 0;
|
|
spot::tgba* product = 0;
|
|
|
|
spot::ltl::environment& env(spot::ltl::default_environment::instance());
|
|
spot::ltl::atomic_prop_set* ap = new spot::ltl::atomic_prop_set;
|
|
spot::bdd_dict* dict = new spot::bdd_dict();
|
|
|
|
if (argc <= 1)
|
|
syntax(argv[0]);
|
|
|
|
while (++argn < argc)
|
|
{
|
|
if (!strcmp(argv[argn], "-0"))
|
|
{
|
|
opt_0 = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-1"))
|
|
{
|
|
opt_paper = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-a"))
|
|
{
|
|
if (argc < argn + 3)
|
|
syntax(argv[0]);
|
|
opt_n_acc = to_int(argv[++argn]);
|
|
opt_a = to_float(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-d"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_d = to_float(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-D"))
|
|
{
|
|
opt_degen = true;
|
|
if (!opt_ec)
|
|
opt_ec = 1;
|
|
}
|
|
else if (!strcmp(argv[argn], "-e"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_ec = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-g"))
|
|
{
|
|
opt_dot = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-m"))
|
|
{
|
|
opt_reduce = true;
|
|
opt_replay = true;
|
|
if (!opt_ec)
|
|
opt_ec = 1;
|
|
}
|
|
else if (!strcmp(argv[argn], "-i"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_i = argv[++argn];
|
|
if (strcmp(opt_i, "-"))
|
|
{
|
|
formula_file = new std::ifstream(opt_i);
|
|
if (!(*formula_file))
|
|
{
|
|
delete formula_file;
|
|
std::cerr << "Failed to open " << opt_i << std::endl;
|
|
exit(2);
|
|
}
|
|
}
|
|
else
|
|
formula_file = &std::cin;
|
|
}
|
|
else if (!strcmp(argv[argn], "-n"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_n = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-O"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_O = argv[++argn];
|
|
int s = sizeof(ec_algos) / sizeof(*ec_algos);
|
|
int i;
|
|
for (i = 0; i < s; ++i)
|
|
if (!strcmp(opt_O, ec_algos[i].name))
|
|
break;
|
|
if (i == s)
|
|
{
|
|
std::cerr << "Unknown algorithm. Available algorithms are:"
|
|
<< std::endl;
|
|
for (i = 0; i < s; ++i)
|
|
std::cerr << " " << ec_algos[i].name << std::endl;
|
|
exit(1);
|
|
}
|
|
}
|
|
else if (!strcmp(argv[argn], "-r"))
|
|
{
|
|
opt_replay = true;
|
|
if (!opt_ec)
|
|
opt_ec = 1;
|
|
}
|
|
else if (!strcmp(argv[argn], "-R"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_R = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-s"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_ec_seed = to_int(argv[++argn]);
|
|
spot::srand(opt_ec_seed);
|
|
}
|
|
else if (!strcmp(argv[argn], "-t"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_t = to_float(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-z"))
|
|
{
|
|
opt_z = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-Z"))
|
|
{
|
|
opt_Z = opt_z = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-dp"))
|
|
{
|
|
opt_dp = true;
|
|
}
|
|
else if (!strcmp(argv[argn], "-f"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_f = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-F"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_F = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-p"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_p = argv[++argn];
|
|
}
|
|
else if (!strcmp(argv[argn], "-l"))
|
|
{
|
|
if (argc < argn + 2)
|
|
syntax(argv[0]);
|
|
opt_l = to_int(argv[++argn]);
|
|
}
|
|
else if (!strcmp(argv[argn], "-u"))
|
|
{
|
|
opt_u = true;
|
|
}
|
|
else
|
|
{
|
|
ap->insert(static_cast<spot::ltl::atomic_prop*>
|
|
(env.require(argv[argn])));
|
|
}
|
|
}
|
|
|
|
spot::ltl::random_ltl rl(ap);
|
|
const char* tok = rl.parse_options(opt_p);
|
|
if (tok)
|
|
{
|
|
std::cerr << "failed to parse probabilities near `"
|
|
<< tok << "'" << std::endl;
|
|
exit(2);
|
|
}
|
|
|
|
if (opt_l > opt_f)
|
|
{
|
|
std::cerr << "-l's argument (" << opt_l << ") should not be larger than "
|
|
<< "-f's (" << opt_f << ")" << std::endl;
|
|
exit(2);
|
|
}
|
|
|
|
if (opt_dp)
|
|
{
|
|
rl.dump_priorities(std::cout);
|
|
exit(0);
|
|
}
|
|
|
|
spot::timer_map tm_ec;
|
|
spot::timer_map tm_ar;
|
|
std::set<int> failed_seeds;
|
|
int init_opt_ec = opt_ec;
|
|
spot::ltl::atomic_prop_set* apf = new spot::ltl::atomic_prop_set;
|
|
|
|
do
|
|
{
|
|
if (opt_F)
|
|
{
|
|
spot::ltl::formula* f = generate_formula(rl, opt_f, opt_ec_seed,
|
|
opt_l, opt_u);
|
|
if (!f)
|
|
exit(1);
|
|
formula = spot::ltl_to_tgba_fm(f, dict, true);
|
|
spot::ltl::destroy(f);
|
|
}
|
|
else if (opt_i)
|
|
{
|
|
if (formula_file->good())
|
|
{
|
|
std::string input;
|
|
std::getline(*formula_file, input, '\n');
|
|
spot::ltl::parse_error_list pel;
|
|
spot::ltl::formula* f = spot::ltl::parse(input, pel, env);
|
|
if (spot::ltl::format_parse_errors(std::cerr, input, pel))
|
|
break;
|
|
formula = spot::ltl_to_tgba_fm(f, dict, true);
|
|
spot::ltl::atomic_prop_set* tmp =
|
|
spot::ltl::atomic_prop_collect(f);
|
|
for (spot::ltl::atomic_prop_set::iterator i = tmp->begin();
|
|
i != tmp->end(); ++i)
|
|
apf->insert(
|
|
dynamic_cast<spot::ltl::atomic_prop*>((*i)->ref()));
|
|
spot::ltl::destroy(f);
|
|
delete tmp;
|
|
}
|
|
else
|
|
{
|
|
if (formula_file->bad())
|
|
std::cerr << "Failed to read " << opt_i << std::endl;
|
|
break;
|
|
}
|
|
}
|
|
|
|
for (spot::ltl::atomic_prop_set::iterator i = ap->begin();
|
|
i != ap->end(); ++i)
|
|
apf->insert(dynamic_cast<spot::ltl::atomic_prop*>((*i)->ref()));
|
|
|
|
do
|
|
{
|
|
if (opt_ec)
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << "seed: " << opt_ec_seed << std::endl;
|
|
spot::srand(opt_ec_seed);
|
|
}
|
|
|
|
spot::tgba* a;
|
|
spot::tgba* r = a = spot::random_graph(opt_n, opt_d, apf, dict,
|
|
opt_n_acc, opt_a, opt_t, &env);
|
|
|
|
if (formula)
|
|
a = product = new spot::tgba_product(formula, a);
|
|
|
|
int real_n_acc = a->number_of_acceptance_conditions();
|
|
|
|
if (!opt_ec)
|
|
{
|
|
if (opt_dot)
|
|
dotty_reachable(std::cout, a);
|
|
else if (!opt_0)
|
|
tgba_save_reachable(std::cout, a);
|
|
}
|
|
else
|
|
{
|
|
spot::tgba* degen = 0;
|
|
if (opt_degen && real_n_acc > 1)
|
|
degen = new spot::tgba_tba_proxy(a);
|
|
|
|
int n_alg = sizeof(ec_algos) / sizeof(*ec_algos);
|
|
int n_ec = 0;
|
|
int n_empty = 0;
|
|
int n_non_empty = 0;
|
|
int n_maybe_empty = 0;
|
|
|
|
for (int i = 0; i < n_alg; ++i)
|
|
{
|
|
spot::emptiness_check* ec;
|
|
spot::emptiness_check_result* res;
|
|
if (opt_O && strcmp(opt_O, ec_algos[i].name))
|
|
continue;
|
|
ec = cons_emptiness_check(i, a, degen, real_n_acc);
|
|
if (!ec)
|
|
continue;
|
|
++n_ec;
|
|
std::string algo = ec_algos[i].name;
|
|
if (!opt_paper)
|
|
{
|
|
std::cout.width(32);
|
|
std::cout << algo << ": ";
|
|
}
|
|
tm_ec.start(algo);
|
|
for (int count = opt_R;;)
|
|
{
|
|
res = ec->check();
|
|
if (count-- <= 0)
|
|
break;
|
|
delete res;
|
|
delete ec;
|
|
ec = cons_emptiness_check(i, a, degen, real_n_acc);
|
|
}
|
|
tm_ec.stop(algo);
|
|
const spot::ec_statistics* ecs =
|
|
dynamic_cast<const spot::ec_statistics*>(ec);
|
|
if (opt_z && ecs)
|
|
{
|
|
ec_stats[algo].count(ecs);
|
|
if (res)
|
|
{
|
|
// Notice that ratios are computed w.r.t. the
|
|
// generalized automaton a.
|
|
ec_ratio_stats[real_n_acc][algo].count(ecs, a);
|
|
glob_ec_ratio_stats[algo].count(ecs, a);
|
|
}
|
|
}
|
|
if (res)
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << "acc. run";
|
|
++n_non_empty;
|
|
const spot::acss_statistics* acss =
|
|
dynamic_cast<const spot::acss_statistics*>(res);
|
|
if (opt_z && acss)
|
|
{
|
|
acss_stats[algo].count(acss);
|
|
acss_ratio_stats[algo].count(acss, a);
|
|
}
|
|
if (opt_replay)
|
|
{
|
|
spot::tgba_run* run;
|
|
|
|
const spot::ars_statistics* ars =
|
|
dynamic_cast<const spot::ars_statistics*>(res);
|
|
|
|
tm_ar.start(algo);
|
|
for (int count = opt_R;;)
|
|
{
|
|
run = res->accepting_run();
|
|
if (opt_z && ars)
|
|
{
|
|
// Count only the first run (the other way
|
|
// would be to divide the stats by opt_R).
|
|
ars_stats[algo].count(ars);
|
|
ars_ratio_stats[algo].count(ars, a);
|
|
ars = 0;
|
|
}
|
|
if (count-- <= 0 || !run)
|
|
break;
|
|
delete run;
|
|
}
|
|
if (!run)
|
|
{
|
|
tm_ar.cancel(algo);
|
|
if (!opt_paper)
|
|
std::cout << " exists, not computed";
|
|
}
|
|
else
|
|
{
|
|
tm_ar.stop(algo);
|
|
std::ostringstream s;
|
|
if (!spot::replay_tgba_run(s, res->automaton(),
|
|
run))
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << ", but could not replay it "
|
|
<< "(ERROR!)";
|
|
failed_seeds.insert(opt_ec_seed);
|
|
}
|
|
else
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << ", computed";
|
|
if (opt_z)
|
|
ar_stats[algo].count(run);
|
|
}
|
|
if (opt_z && !opt_paper)
|
|
std::cout << " [" << run->prefix.size()
|
|
<< "+" << run->cycle.size()
|
|
<< "]";
|
|
|
|
if (opt_reduce)
|
|
{
|
|
spot::tgba_run* redrun =
|
|
spot::reduce_run(res->automaton(), run);
|
|
if (!spot::replay_tgba_run(s,
|
|
res->automaton(), redrun))
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << ", but could not replay "
|
|
<< "its minimization (ERROR!)";
|
|
failed_seeds.insert(opt_ec_seed);
|
|
}
|
|
else
|
|
{
|
|
std::cout << ", reduced";
|
|
if (opt_z)
|
|
mar_stats[algo].count(redrun);
|
|
}
|
|
if (opt_z && !opt_paper)
|
|
{
|
|
std::cout << " [" << redrun->prefix.size()
|
|
<< "+" << redrun->cycle.size()
|
|
<< "]";
|
|
}
|
|
delete redrun;
|
|
}
|
|
delete run;
|
|
}
|
|
}
|
|
if (!opt_paper)
|
|
std::cout << std::endl;
|
|
delete res;
|
|
}
|
|
else
|
|
{
|
|
if (ec_algos[i].safe)
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << "empty language" << std::endl;
|
|
++n_empty;
|
|
}
|
|
else
|
|
{
|
|
if (!opt_paper)
|
|
std::cout << "maybe empty language" << std::endl;
|
|
++n_maybe_empty;
|
|
}
|
|
|
|
}
|
|
|
|
if (opt_Z && !opt_paper)
|
|
ec->print_stats(std::cout);
|
|
delete ec;
|
|
}
|
|
|
|
assert(n_empty + n_non_empty + n_maybe_empty == n_ec);
|
|
|
|
if ((n_empty == 0 && (n_non_empty + n_maybe_empty) != n_ec)
|
|
|| (n_empty != 0 && n_non_empty != 0))
|
|
{
|
|
std::cout << "ERROR: not all algorithms agree" << std::endl;
|
|
failed_seeds.insert(opt_ec_seed);
|
|
}
|
|
|
|
delete degen;
|
|
}
|
|
|
|
delete product;
|
|
delete r;
|
|
|
|
if (opt_ec)
|
|
{
|
|
--opt_ec;
|
|
++opt_ec_seed;
|
|
}
|
|
}
|
|
while (opt_ec);
|
|
|
|
delete formula;
|
|
if (opt_F)
|
|
--opt_F;
|
|
opt_ec = init_opt_ec;
|
|
for (spot::ltl::atomic_prop_set::iterator i = apf->begin();
|
|
i != apf->end(); ++i)
|
|
spot::ltl::destroy(*i);
|
|
apf->clear();
|
|
}
|
|
while (opt_F || opt_i);
|
|
|
|
if (!ec_stats.empty())
|
|
print_ec_stats(ec_stats, opt_paper);
|
|
|
|
if (!glob_ec_ratio_stats.empty())
|
|
{
|
|
print_ec_ratio_stats("all tests", glob_ec_ratio_stats, opt_paper);
|
|
if (ec_ratio_stats.size() > 1)
|
|
for (ec_ratio_stats_type::const_iterator i = ec_ratio_stats.begin();
|
|
i != ec_ratio_stats.end(); ++i)
|
|
{
|
|
std::ostringstream s;
|
|
s << "tests with " << i->first << " acceptance conditions";
|
|
print_ec_ratio_stats(s.str(), i->second, opt_paper);
|
|
}
|
|
}
|
|
|
|
if (!acss_stats.empty())
|
|
print_acss_stats(acss_stats, opt_paper);
|
|
|
|
if (!acss_ratio_stats.empty())
|
|
print_acss_ratio_stats(acss_ratio_stats, opt_paper);
|
|
|
|
if (!ars_stats.empty())
|
|
print_ars_stats(ars_stats, opt_paper);
|
|
|
|
if (!ars_ratio_stats.empty())
|
|
print_ars_ratio_stats(ars_ratio_stats, opt_paper);
|
|
|
|
if (!ar_stats.empty())
|
|
print_ar_stats(ar_stats, "Statistics about accepting runs:", opt_paper);
|
|
|
|
if (!mar_stats.empty())
|
|
print_ar_stats(mar_stats, "Statistics about reduced accepting runs:",
|
|
opt_paper);
|
|
|
|
if (!opt_paper && opt_z)
|
|
{
|
|
if (!tm_ec.empty())
|
|
{
|
|
std::cout << std::endl
|
|
<< "emptiness checks cumulated timings:" << std::endl;
|
|
tm_ec.print(std::cout);
|
|
}
|
|
if (!tm_ar.empty())
|
|
{
|
|
std::cout << std::endl
|
|
<< "accepting runs cumulated timings:" << std::endl;
|
|
tm_ar.print(std::cout);
|
|
}
|
|
}
|
|
|
|
if (!failed_seeds.empty())
|
|
{
|
|
exit_code = 1;
|
|
std::cout << "The check failed for the following seeds:";
|
|
for (std::set<int>::const_iterator i = failed_seeds.begin();
|
|
i != failed_seeds.end(); ++i)
|
|
std::cout << " " << *i;
|
|
std::cout << std::endl;
|
|
}
|
|
|
|
for (spot::ltl::atomic_prop_set::iterator i = ap->begin();
|
|
i != ap->end(); ++i)
|
|
spot::ltl::destroy(*i);
|
|
|
|
if (opt_i && strcmp(opt_i, "-"))
|
|
{
|
|
dynamic_cast<std::ifstream*>(formula_file)->close();
|
|
delete formula_file;
|
|
}
|
|
delete ap;
|
|
delete apf;
|
|
delete dict;
|
|
return exit_code;
|
|
}
|