Automatic mass renaming. * src/tgbaalgos/: Rename as... * src/twaalgos/: ... this. * README, configure.ac, iface/ltsmin/modelcheck.cc, src/Makefile.am, src/bin/autfilt.cc, src/bin/common_aoutput.cc, src/bin/common_aoutput.hh, src/bin/common_output.hh, src/bin/common_post.hh, src/bin/dstar2tgba.cc, src/bin/ltl2tgba.cc, src/bin/ltl2tgta.cc, src/bin/ltlcross.cc, src/bin/ltldo.cc, src/bin/ltlfilt.cc, src/bin/randaut.cc, src/dstarparse/dra2ba.cc, src/dstarparse/nra2nba.cc, src/dstarparse/nsa2tgba.cc, src/graphtest/twagraph.cc, src/kripke/kripkeprint.cc, src/ltlvisit/contain.cc, src/ltlvisit/contain.hh, src/ltlvisit/exclusive.cc, src/taalgos/emptinessta.hh, src/tgbatest/checkpsl.cc, src/tgbatest/checkta.cc, src/tgbatest/complementation.cc, src/tgbatest/emptchk.cc, src/tgbatest/ltl2tgba.cc, src/tgbatest/ltlprod.cc, src/tgbatest/randtgba.cc, src/tgbatest/taatgba.cc, src/twa/twa.cc, src/twa/twagraph.hh, src/twa/twasafracomplement.cc, wrap/python/spot_impl.i: Adjust.
1495 lines
38 KiB
C++
1495 lines
38 KiB
C++
// -*- coding: utf-8 -*-
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// Copyright (C) 2012, 2013, 2014, 2015 Laboratoire de Recherche et
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// Développement 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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#include "common_sys.hh"
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#include <string>
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#include <iostream>
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#include <sstream>
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#include <cstdlib>
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#include <cstdio>
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#include <argp.h>
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#include <unistd.h>
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#include <sys/wait.h>
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#include "error.h"
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#include "argmatch.h"
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#include "common_setup.hh"
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#include "common_cout.hh"
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#include "common_conv.hh"
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#include "common_trans.hh"
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#include "common_file.hh"
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#include "common_finput.hh"
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#include "dstarparse/public.hh"
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#include "hoaparse/public.hh"
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#include "ltlast/unop.hh"
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#include "ltlvisit/tostring.hh"
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#include "ltlvisit/apcollect.hh"
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#include "ltlvisit/mutation.hh"
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#include "ltlvisit/relabel.hh"
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#include "ltlvisit/lbt.hh"
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#include "twaalgos/lbtt.hh"
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#include "twaalgos/product.hh"
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#include "twaalgos/remfin.hh"
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#include "twaalgos/gtec/gtec.hh"
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#include "twaalgos/randomgraph.hh"
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#include "twaalgos/sccinfo.hh"
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#include "twaalgos/isweakscc.hh"
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#include "twaalgos/reducerun.hh"
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#include "twaalgos/word.hh"
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#include "twaalgos/dtgbacomp.hh"
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#include "twaalgos/cleanacc.hh"
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#include "misc/formater.hh"
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#include "twaalgos/stats.hh"
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#include "twaalgos/isdet.hh"
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#include "misc/escape.hh"
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#include "misc/hash.hh"
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#include "misc/random.hh"
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#include "misc/tmpfile.hh"
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#include "misc/timer.hh"
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const char argp_program_doc[] ="\
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Call several LTL/PSL translators and cross-compare their output to detect \
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bugs, or to gather statistics. The list of formulas to use should be \
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supplied on standard input, or using the -f or -F options.\v\
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Exit status:\n\
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0 everything went fine (timeouts are OK too)\n\
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1 some translator failed to output something we understand, or failed\n\
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sanity checks (statistics were output nonetheless)\n\
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2 ltlcross aborted on error\n\
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";
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enum {
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OPT_BOGUS = 256,
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OPT_COLOR,
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OPT_CSV,
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OPT_DENSITY,
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OPT_DUPS,
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OPT_GRIND,
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OPT_IGNORE_EXEC_FAIL,
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OPT_JSON,
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OPT_NOCHECKS,
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OPT_NOCOMP,
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OPT_OMIT,
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OPT_PRODUCTS,
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OPT_SEED,
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OPT_STATES,
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OPT_STOP_ERR,
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OPT_VERBOSE,
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};
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static const argp_option options[] =
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{
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/**************************************************/
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{ 0, 0, 0, 0, "ltlcross behavior:", 5 },
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{ "allow-dups", OPT_DUPS, 0, 0,
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"translate duplicate formulas in input", 0 },
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{ "no-checks", OPT_NOCHECKS, 0, 0,
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"do not perform any sanity checks (negated formulas "
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"will not be translated)", 0 },
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{ "no-complement", OPT_NOCOMP, 0, 0,
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"do not complement deterministic automata to perform extra checks", 0 },
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{ "stop-on-error", OPT_STOP_ERR, 0, 0,
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"stop on first execution error or failure to pass"
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" sanity checks (timeouts are OK)", 0 },
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{ "ignore-execution-failures", OPT_IGNORE_EXEC_FAIL, 0, 0,
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"ignore automata from translators that return with a non-zero exit code,"
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" but do not flag this as an error", 0 },
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/**************************************************/
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{ 0, 0, 0, 0, "State-space generation:", 6 },
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{ "states", OPT_STATES, "INT", 0,
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"number of the states in the state-spaces (200 by default)", 0 },
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{ "density", OPT_DENSITY, "FLOAT", 0,
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"probability, between 0.0 and 1.0, to add a transition between "
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"two states (0.1 by default)", 0 },
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{ "seed", OPT_SEED, "INT", 0,
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"seed for the random number generator (0 by default)", 0 },
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{ "products", OPT_PRODUCTS, "[+]INT", 0,
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"number of products to perform (1 by default), statistics will be "
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"averaged unless the number is prefixed with '+'", 0 },
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/**************************************************/
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{ 0, 0, 0, 0, "Statistics output:", 7 },
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{ "json", OPT_JSON, "[>>]FILENAME", OPTION_ARG_OPTIONAL,
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"output statistics as JSON in FILENAME or on standard output", 0 },
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{ "csv", OPT_CSV, "[>>]FILENAME", OPTION_ARG_OPTIONAL,
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"output statistics as CSV in FILENAME or on standard output "
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"(if '>>' is used to request append mode, the header line is "
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"not output)", 0 },
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{ "omit-missing", OPT_OMIT, 0, 0,
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"do not output statistics for timeouts or failed translations", 0 },
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/**************************************************/
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{ 0, 0, 0, 0, "Miscellaneous options:", -2 },
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{ "color", OPT_COLOR, "WHEN", OPTION_ARG_OPTIONAL,
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"colorize output; WHEN can be 'never', 'always' (the default if "
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"--color is used without argument), or "
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"'auto' (the default if --color is not used)", 0 },
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{ "grind", OPT_GRIND, "[>>]FILENAME", 0,
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"for each formula for which a problem was detected, write a simpler " \
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"formula that fails on the same test in FILENAME", 0 },
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{ "save-bogus", OPT_BOGUS, "[>>]FILENAME", 0,
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"save formulas for which problems were detected in FILENAME", 0 },
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{ "verbose", OPT_VERBOSE, 0, 0,
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"print what is being done, for debugging", 0 },
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{ 0, 0, 0, 0, "If an output FILENAME is prefixed with '>>', is it open "
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"in append mode instead of being truncated.", -1 },
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{ 0, 0, 0, 0, 0, 0 }
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};
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const struct argp_child children[] =
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{
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{ &finput_argp, 0, 0, 1 },
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{ &trans_argp, 0, 0, 0 },
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{ &misc_argp, 0, 0, -2 },
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{ 0, 0, 0, 0 }
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};
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enum color_type { color_never, color_always, color_if_tty };
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static char const *const color_args[] =
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{
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"always", "yes", "force",
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"never", "no", "none",
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"auto", "tty", "if-tty", 0
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};
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static color_type const color_types[] =
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{
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color_always, color_always, color_always,
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color_never, color_never, color_never,
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color_if_tty, color_if_tty, color_if_tty
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};
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ARGMATCH_VERIFY(color_args, color_types);
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static color_type color_opt = color_if_tty;
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static const char* bright_red = "\033[01;31m";
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static const char* bright_blue = "\033[01;34m";
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static const char* bright_yellow = "\033[01;33m";
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static const char* reset_color = "\033[m";
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static unsigned states = 200;
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static float density = 0.1;
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static const char* json_output = 0;
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static const char* csv_output = 0;
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static bool want_stats = false;
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static bool allow_dups = false;
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static bool no_checks = false;
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static bool no_complement = false;
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static bool stop_on_error = false;
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static int seed = 0;
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static unsigned products = 1;
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static bool products_avg = true;
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static bool opt_omit = false;
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static bool has_sr = false; // Has Streett or Rabin automata to process.
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static const char* bogus_output_filename = 0;
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static output_file* bogus_output = 0;
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static output_file* grind_output = 0;
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static bool verbose = false;
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static bool ignore_exec_fail = false;
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static unsigned ignored_exec_fail = 0;
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static bool global_error_flag = false;
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static std::ostream&
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global_error()
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{
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global_error_flag = true;
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if (color_opt)
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std::cerr << bright_red;
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return std::cerr;
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}
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static std::ostream&
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example()
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{
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if (color_opt)
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std::cerr << bright_yellow;
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return std::cerr;
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}
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static void
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end_error()
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{
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if (color_opt)
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std::cerr << reset_color;
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}
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struct statistics
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{
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statistics()
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: ok(false),
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has_in(false),
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status_str(0),
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status_code(0),
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time(0),
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in_type(0),
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in_states(0),
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in_edges(0),
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in_transitions(0),
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in_acc(0),
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in_scc(0),
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states(0),
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edges(0),
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transitions(0),
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acc(0),
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scc(0),
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nonacc_scc(0),
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terminal_scc(0),
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weak_scc(0),
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strong_scc(0),
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nondetstates(0),
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nondeterministic(false),
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terminal_aut(false),
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weak_aut(false),
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strong_aut(false)
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{
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}
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// If OK is false, only the status_str, status_code, and time fields
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// should be valid.
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bool ok;
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// has in_* data to display.
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bool has_in;
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const char* status_str;
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int status_code;
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double time;
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const char* in_type;
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unsigned in_states;
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unsigned in_edges;
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unsigned in_transitions;
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unsigned in_acc;
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unsigned in_scc;
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unsigned states;
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unsigned edges;
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unsigned transitions;
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unsigned acc;
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unsigned scc;
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unsigned nonacc_scc;
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unsigned terminal_scc;
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unsigned weak_scc;
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unsigned strong_scc;
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unsigned nondetstates;
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bool nondeterministic;
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bool terminal_aut;
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bool weak_aut;
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bool strong_aut;
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std::vector<double> product_states;
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std::vector<double> product_transitions;
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std::vector<double> product_scc;
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static void
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fields(std::ostream& os, bool show_exit, bool show_sr)
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{
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if (show_exit)
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os << "\"exit_status\",\"exit_code\",";
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os << "\"time\",";
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if (show_sr)
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os << ("\"in_type\",\"in_states\",\"in_edges\",\"in_transitions\","
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"\"in_acc\",\"in_scc\",");
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os << ("\"states\","
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"\"edges\","
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"\"transitions\","
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"\"acc\","
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"\"scc\","
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"\"nonacc_scc\","
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"\"terminal_scc\","
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"\"weak_scc\","
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"\"strong_scc\","
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"\"nondet_states\","
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"\"nondet_aut\","
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"\"terminal_aut\","
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"\"weak_aut\","
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"\"strong_aut\"");
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size_t m = products_avg ? 1U : products;
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for (size_t i = 0; i < m; ++i)
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os << ",\"product_states\",\"product_transitions\",\"product_scc\"";
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}
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void
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to_csv(std::ostream& os, bool show_exit, bool show_sr, const char* na = "")
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{
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if (show_exit)
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os << '"' << status_str << "\"," << status_code << ',';
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os << time << ',';
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if (ok)
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{
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if (has_in)
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os << '"' << in_type << "\","
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<< in_states << ','
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<< in_edges << ','
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<< in_transitions << ','
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<< in_acc << ','
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<< in_scc << ',';
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else if (show_sr)
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os << na << ',' << na << ',' << na << ','
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<< na << ',' << na << ',' << na << ',';
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os << states << ','
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<< edges << ','
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<< transitions << ','
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<< acc << ','
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<< scc << ','
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<< nonacc_scc << ','
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<< terminal_scc << ','
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<< weak_scc << ','
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<< strong_scc << ','
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<< nondetstates << ','
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<< nondeterministic << ','
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<< terminal_aut << ','
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<< weak_aut << ','
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<< strong_aut;
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if (!products_avg)
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{
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for (size_t i = 0; i < products; ++i)
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os << ',' << product_states[i]
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<< ',' << product_transitions[i]
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<< ',' << product_scc[i];
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}
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else
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{
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double st = 0.0;
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double tr = 0.0;
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double sc = 0.0;
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for (size_t i = 0; i < products; ++i)
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{
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st += product_states[i];
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tr += product_transitions[i];
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sc += product_scc[i];
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}
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os << ',' << (st / products)
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<< ',' << (tr / products)
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<< ',' << (sc / products);
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}
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}
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else
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{
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size_t m = products_avg ? 1U : products;
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m *= 3;
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m += 13 + show_sr * 6;
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os << na;
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for (size_t i = 0; i < m; ++i)
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os << ',' << na;
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}
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}
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};
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typedef std::vector<statistics> statistics_formula;
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typedef std::vector<statistics_formula> statistics_vector;
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statistics_vector vstats;
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std::vector<std::string> formulas;
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static int
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parse_opt(int key, char* arg, struct argp_state*)
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{
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// This switch is alphabetically-ordered.
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switch (key)
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{
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case ARGP_KEY_ARG:
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translators.push_back(arg);
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break;
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case OPT_BOGUS:
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{
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bogus_output = new output_file(arg);
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bogus_output_filename = arg;
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break;
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}
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case OPT_COLOR:
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{
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if (arg)
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color_opt = XARGMATCH("--color", arg, color_args, color_types);
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else
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color_opt = color_always;
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break;
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}
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case OPT_CSV:
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want_stats = true;
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csv_output = arg ? arg : "-";
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break;
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case OPT_DENSITY:
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density = to_probability(arg);
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break;
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case OPT_DUPS:
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allow_dups = true;
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break;
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case OPT_GRIND:
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grind_output = new output_file(arg);
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break;
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case OPT_IGNORE_EXEC_FAIL:
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ignore_exec_fail = true;
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break;
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case OPT_JSON:
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want_stats = true;
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json_output = arg ? arg : "-";
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break;
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case OPT_PRODUCTS:
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if (*arg == '+')
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{
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products_avg = false;
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++arg;
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}
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products = to_pos_int(arg);
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break;
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case OPT_NOCHECKS:
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no_checks = true;
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no_complement = true;
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break;
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case OPT_NOCOMP:
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no_complement = true;
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break;
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case OPT_OMIT:
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opt_omit = true;
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break;
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case OPT_SEED:
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seed = to_pos_int(arg);
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break;
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case OPT_STATES:
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states = to_pos_int(arg);
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break;
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case OPT_STOP_ERR:
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stop_on_error = true;
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break;
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case OPT_VERBOSE:
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verbose = true;
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break;
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default:
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return ARGP_ERR_UNKNOWN;
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}
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return 0;
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}
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namespace
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{
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class xtranslator_runner: public translator_runner
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{
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public:
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xtranslator_runner(spot::bdd_dict_ptr dict)
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: translator_runner(dict)
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{
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has_sr = has('D');
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}
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spot::twa_graph_ptr
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translate(unsigned int translator_num, char l, statistics_formula* fstats,
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bool& problem)
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{
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output.reset(translator_num);
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std::ostringstream command;
|
|
format(command, translators[translator_num].cmd);
|
|
|
|
assert(output.format != printable_result_filename::None);
|
|
|
|
std::string cmd = command.str();
|
|
std::cerr << "Running [" << l << translator_num << "]: "
|
|
<< cmd << std::endl;
|
|
spot::stopwatch sw;
|
|
sw.start();
|
|
int es = exec_with_timeout(cmd.c_str());
|
|
double duration = sw.stop();
|
|
|
|
const char* status_str = 0;
|
|
|
|
spot::twa_graph_ptr res = 0;
|
|
if (timed_out)
|
|
{
|
|
// This is not considered to be a global error.
|
|
std::cerr << "warning: timeout during execution of command\n";
|
|
++timeout_count;
|
|
status_str = "timeout";
|
|
problem = false; // A timeout is not a sign of a bug
|
|
es = -1;
|
|
}
|
|
else if (WIFSIGNALED(es))
|
|
{
|
|
status_str = "signal";
|
|
problem = true;
|
|
es = WTERMSIG(es);
|
|
global_error() << "error: execution terminated by signal "
|
|
<< es << ".\n";
|
|
end_error();
|
|
}
|
|
else if (WIFEXITED(es) && WEXITSTATUS(es) != 0)
|
|
{
|
|
es = WEXITSTATUS(es);
|
|
status_str = "exit code";
|
|
if (!ignore_exec_fail)
|
|
{
|
|
problem = true;
|
|
global_error() << "error: execution returned exit code "
|
|
<< es << ".\n";
|
|
end_error();
|
|
}
|
|
else
|
|
{
|
|
problem = false;
|
|
std::cerr << "warning: execution returned exit code "
|
|
<< es << ".\n";
|
|
++ignored_exec_fail;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
status_str = "ok";
|
|
problem = false;
|
|
es = 0;
|
|
switch (output.format)
|
|
{
|
|
case printable_result_filename::Dstar:
|
|
{
|
|
spot::dstar_parse_error_list pel;
|
|
std::string filename = output.val()->name();
|
|
auto aut = spot::dstar_parse(filename, pel, dict);
|
|
if (!pel.empty())
|
|
{
|
|
status_str = "parse error";
|
|
problem = true;
|
|
es = -1;
|
|
std::ostream& err = global_error();
|
|
err << "error: failed to parse the produced DSTAR"
|
|
" output.\n";
|
|
spot::format_dstar_parse_errors(err, filename, pel);
|
|
end_error();
|
|
res = nullptr;
|
|
}
|
|
else
|
|
{
|
|
const char* type = 0;
|
|
switch (aut->type)
|
|
{
|
|
case spot::Rabin:
|
|
type = "DRA";
|
|
break;
|
|
case spot::Streett:
|
|
type = "DSA";
|
|
break;
|
|
}
|
|
assert(type);
|
|
|
|
// Gather statistics about the input automaton
|
|
if (want_stats)
|
|
{
|
|
statistics* st = &(*fstats)[translator_num];
|
|
st->has_in = true;
|
|
st->in_type = type;
|
|
spot::tgba_sub_statistics s =
|
|
sub_stats_reachable(aut->aut);
|
|
st->in_states= s.states;
|
|
st->in_edges = s.transitions;
|
|
st->in_transitions = s.sub_transitions;
|
|
st->in_acc = aut->accpair_count;
|
|
|
|
st->in_scc = spot::scc_info(aut->aut).scc_count();
|
|
}
|
|
// convert it into TGBA for further processing
|
|
if (verbose)
|
|
std::cerr << "info: converting " << type << " to TGBA\n";
|
|
res = dstar_to_tgba(aut);
|
|
}
|
|
break;
|
|
}
|
|
case printable_result_filename::Hoa: // Will also read neverclaims
|
|
{
|
|
spot::hoa_parse_error_list pel;
|
|
std::string filename = output.val()->name();
|
|
auto aut = spot::hoa_parse(filename, pel, dict);
|
|
if (!pel.empty())
|
|
{
|
|
status_str = "parse error";
|
|
problem = true;
|
|
es = -1;
|
|
std::ostream& err = global_error();
|
|
err << "error: failed to parse the produced automaton.\n";
|
|
spot::format_hoa_parse_errors(err, filename, pel);
|
|
end_error();
|
|
res = nullptr;
|
|
}
|
|
else if (!aut)
|
|
{
|
|
status_str = "empty output";
|
|
problem = true;
|
|
es = -1;
|
|
global_error() << "error: empty output.\n";
|
|
end_error();
|
|
res = nullptr;
|
|
}
|
|
else if (aut->aborted)
|
|
{
|
|
status_str = "aborted";
|
|
problem = true;
|
|
es = -1;
|
|
global_error() << "error: aborted HOA file.\n";
|
|
end_error();
|
|
res = nullptr;
|
|
}
|
|
else
|
|
{
|
|
res = aut->aut;
|
|
}
|
|
break;
|
|
}
|
|
case printable_result_filename::None:
|
|
SPOT_UNREACHABLE();
|
|
}
|
|
}
|
|
|
|
if (want_stats)
|
|
{
|
|
statistics* st = &(*fstats)[translator_num];
|
|
st->status_str = status_str;
|
|
st->status_code = es;
|
|
st->time = duration;
|
|
|
|
// Compute statistics.
|
|
if (res)
|
|
{
|
|
if (verbose)
|
|
std::cerr << "info: getting statistics\n";
|
|
st->ok = true;
|
|
spot::tgba_sub_statistics s = sub_stats_reachable(res);
|
|
st->states = s.states;
|
|
st->edges = s.transitions;
|
|
st->transitions = s.sub_transitions;
|
|
st->acc = res->acc().num_sets();
|
|
spot::scc_info m(res);
|
|
unsigned c = m.scc_count();
|
|
st->scc = c;
|
|
st->nondetstates = spot::count_nondet_states(res);
|
|
st->nondeterministic = st->nondetstates != 0;
|
|
for (unsigned n = 0; n < c; ++n)
|
|
{
|
|
if (m.is_rejecting_scc(n))
|
|
++st->nonacc_scc;
|
|
else if (is_terminal_scc(m, n))
|
|
++st->terminal_scc;
|
|
else if (is_weak_scc(m, n))
|
|
++st->weak_scc;
|
|
else
|
|
++st->strong_scc;
|
|
}
|
|
if (st->strong_scc)
|
|
st->strong_aut = true;
|
|
else if (st->weak_scc)
|
|
st->weak_aut = true;
|
|
else
|
|
st->terminal_aut = true;
|
|
}
|
|
}
|
|
output.cleanup();
|
|
return res;
|
|
}
|
|
};
|
|
|
|
static bool
|
|
check_empty_prod(const spot::const_twa_graph_ptr& aut_i,
|
|
const spot::const_twa_graph_ptr& aut_j,
|
|
size_t i, size_t j, bool icomp, bool jcomp)
|
|
{
|
|
auto prod = spot::product(aut_i, aut_j);
|
|
|
|
if (verbose)
|
|
{
|
|
std::cerr << "info: check_empty ";
|
|
if (icomp)
|
|
std::cerr << "Comp(N" << i << ')';
|
|
else
|
|
std::cerr << 'P' << i;
|
|
if (jcomp)
|
|
std::cerr << "*Comp(P" << j << ')';
|
|
else
|
|
std::cerr << "*N" << j;
|
|
std::cerr << '\n';
|
|
}
|
|
|
|
auto res = spot::couvreur99(prod)->check();
|
|
if (res)
|
|
{
|
|
std::ostream& err = global_error();
|
|
err << "error: ";
|
|
if (icomp)
|
|
err << "Comp(N" << i << ')';
|
|
else
|
|
err << 'P' << i;
|
|
if (jcomp)
|
|
err << "*Comp(P" << j << ')';
|
|
else
|
|
err << "*N" << j;
|
|
err << " is nonempty";
|
|
|
|
auto run = res->accepting_run();
|
|
if (run)
|
|
{
|
|
run = reduce_run(prod, run);
|
|
std::cerr << "; both automata accept the infinite word\n"
|
|
<< " ";
|
|
spot::tgba_word w(run);
|
|
w.simplify();
|
|
w.print(example(), prod->get_dict()) << '\n';
|
|
}
|
|
else
|
|
{
|
|
std::cerr << '\n';
|
|
}
|
|
end_error();
|
|
}
|
|
return !!res;
|
|
}
|
|
|
|
static bool
|
|
cross_check(const std::vector<spot::scc_info*>& maps, char l, unsigned p)
|
|
{
|
|
size_t m = maps.size();
|
|
if (verbose)
|
|
{
|
|
std::cerr << "info: cross_check {";
|
|
bool first = true;
|
|
for (size_t i = 0; i < m; ++i)
|
|
{
|
|
if (first)
|
|
first = false;
|
|
else
|
|
std::cerr << ',';
|
|
std::cerr << l << i;
|
|
}
|
|
std::cerr << "}, state-space #" << p << '/' << products << '\n';
|
|
}
|
|
|
|
std::vector<bool> res(m);
|
|
unsigned verified = 0;
|
|
unsigned violated = 0;
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (spot::scc_info* m = maps[i])
|
|
{
|
|
// r == true iff the automaton i is accepting.
|
|
bool r = false;
|
|
for (auto& scc: *m)
|
|
if (scc.is_accepting())
|
|
{
|
|
r = true;
|
|
break;
|
|
}
|
|
res[i] = r;
|
|
if (r)
|
|
++verified;
|
|
else
|
|
++violated;
|
|
}
|
|
if (verified != 0 && violated != 0)
|
|
{
|
|
std::ostream& err = global_error();
|
|
err << "error: {";
|
|
bool first = true;
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (maps[i] && res[i])
|
|
{
|
|
if (first)
|
|
first = false;
|
|
else
|
|
err << ',';
|
|
err << l << i;
|
|
}
|
|
err << "} disagree with {";
|
|
first = true;
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (maps[i] && !res[i])
|
|
{
|
|
if (first)
|
|
first = false;
|
|
else
|
|
err << ',';
|
|
err << l << i;
|
|
}
|
|
err << "} when evaluating ";
|
|
if (products > 1)
|
|
err << "state-space #" << p << '/' << products << '\n';
|
|
else
|
|
err << "the state-space\n";
|
|
end_error();
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
typedef std::set<unsigned> state_set;
|
|
|
|
// Collect all the states of SSPACE that appear in the accepting SCCs
|
|
// of PROD. (Trivial SCCs are considered accepting.)
|
|
static void
|
|
states_in_acc(const spot::scc_info* m, state_set& s)
|
|
{
|
|
auto aut = m->get_aut();
|
|
auto ps = aut->get_named_prop<const spot::product_states>("product-states");
|
|
for (auto& scc: *m)
|
|
if (scc.is_accepting() || scc.is_trivial())
|
|
for (auto i: scc.states())
|
|
// Get the projection on sspace.
|
|
s.insert((*ps)[i].second);
|
|
}
|
|
|
|
static bool
|
|
consistency_check(const spot::scc_info* pos, const spot::scc_info* neg)
|
|
{
|
|
// the states of SSPACE should appear in the accepting SCC of at
|
|
// least one of POS or NEG. Maybe both.
|
|
state_set s;
|
|
states_in_acc(pos, s);
|
|
states_in_acc(neg, s);
|
|
return s.size() == states;
|
|
}
|
|
|
|
typedef
|
|
std::unordered_set<const spot::ltl::formula*,
|
|
const spot::ptr_hash<const spot::ltl::formula> > fset_t;
|
|
|
|
|
|
class processor: public job_processor
|
|
{
|
|
spot::bdd_dict_ptr dict = spot::make_bdd_dict();
|
|
xtranslator_runner runner;
|
|
fset_t unique_set;
|
|
public:
|
|
processor():
|
|
runner(dict)
|
|
{
|
|
}
|
|
|
|
~processor()
|
|
{
|
|
fset_t::iterator i = unique_set.begin();
|
|
while (i != unique_set.end())
|
|
(*i++)->destroy();
|
|
}
|
|
|
|
int
|
|
process_string(const std::string& input,
|
|
const char* filename,
|
|
int linenum)
|
|
{
|
|
spot::ltl::parse_error_list pel;
|
|
const spot::ltl::formula* f = parse_formula(input, pel);
|
|
|
|
if (!f || !pel.empty())
|
|
{
|
|
if (filename)
|
|
error_at_line(0, 0, filename, linenum, "parse error:");
|
|
spot::ltl::format_parse_errors(std::cerr, input, pel);
|
|
if (f)
|
|
f->destroy();
|
|
return 1;
|
|
}
|
|
|
|
f->clone();
|
|
int res = process_formula(f, filename, linenum);
|
|
|
|
if (res && bogus_output)
|
|
bogus_output->ostream() << input << std::endl;
|
|
if (res && grind_output)
|
|
{
|
|
std::string bogus = input;
|
|
std::vector<const spot::ltl::formula*> mutations;
|
|
unsigned mutation_count;
|
|
unsigned mutation_max;
|
|
while (res)
|
|
{
|
|
std::cerr << "Trying to find a bogus mutation of ";
|
|
if (color_opt)
|
|
std::cerr << bright_blue;
|
|
std::cerr << bogus;
|
|
if (color_opt)
|
|
std::cerr << reset_color;
|
|
std::cerr << "...\n";
|
|
|
|
mutations = mutate(f);
|
|
mutation_count = 1;
|
|
mutation_max = mutations.size();
|
|
res = 0;
|
|
for (auto g: mutations)
|
|
{
|
|
std::cerr << "Mutation " << mutation_count << '/'
|
|
<< mutation_max << ": ";
|
|
f->destroy();
|
|
f = g->clone();
|
|
res = process_formula(g->clone());
|
|
if (res)
|
|
break;
|
|
++mutation_count;
|
|
}
|
|
for (auto g: mutations)
|
|
g->destroy();
|
|
if (res)
|
|
{
|
|
if (lbt_input)
|
|
bogus = spot::ltl::to_lbt_string(f);
|
|
else
|
|
bogus = spot::ltl::to_string(f);
|
|
if (bogus_output)
|
|
bogus_output->ostream() << bogus << std::endl;
|
|
}
|
|
}
|
|
std::cerr << "Smallest bogus mutation found for ";
|
|
if (color_opt)
|
|
std::cerr << bright_blue;
|
|
std::cerr << input;
|
|
if (color_opt)
|
|
std::cerr << reset_color;
|
|
std::cerr << " is ";
|
|
if (color_opt)
|
|
std::cerr << bright_blue;
|
|
std::cerr << bogus;
|
|
if (color_opt)
|
|
std::cerr << reset_color;
|
|
std::cerr << ".\n\n";
|
|
grind_output->ostream() << bogus << std::endl;
|
|
}
|
|
f->destroy();
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
int
|
|
process_formula(const spot::ltl::formula* f,
|
|
const char* filename = 0, int linenum = 0)
|
|
{
|
|
static unsigned round = 0;
|
|
|
|
// If we need LBT atomic proposition in any of the input or
|
|
// output, relabel the formula.
|
|
if (!f->has_lbt_atomic_props() &&
|
|
(runner.has('l') || runner.has('L') || runner.has('T')))
|
|
{
|
|
const spot::ltl::formula* g = spot::ltl::relabel(f, spot::ltl::Pnn);
|
|
f->destroy();
|
|
f = g;
|
|
}
|
|
|
|
// ---------- Positive Formula ----------
|
|
|
|
runner.round_formula(f, round);
|
|
|
|
// Call formula() before printing anything else, in case it
|
|
// complains.
|
|
std::string fstr = runner.formula();
|
|
if (filename)
|
|
std::cerr << filename << ':';
|
|
if (linenum)
|
|
std::cerr << linenum << ':';
|
|
if (filename || linenum)
|
|
std::cerr << ' ';
|
|
if (color_opt)
|
|
std::cerr << bright_blue;
|
|
std::cerr << fstr << '\n';
|
|
if (color_opt)
|
|
std::cerr << reset_color;
|
|
|
|
// Make sure we do not translate the same formula twice.
|
|
if (!allow_dups)
|
|
{
|
|
if (unique_set.insert(f).second)
|
|
{
|
|
f->clone();
|
|
}
|
|
else
|
|
{
|
|
std::cerr
|
|
<< ("warning: This formula or its negation has already"
|
|
" been checked.\n Use --allow-dups if it "
|
|
"should not be ignored.\n")
|
|
<< std::endl;
|
|
f->destroy();
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
|
|
int problems = 0;
|
|
|
|
// These store the result of the translation of the positive and
|
|
// negative formulas.
|
|
size_t m = translators.size();
|
|
std::vector<spot::twa_graph_ptr> pos(m);
|
|
std::vector<spot::twa_graph_ptr> neg(m);
|
|
// These store the complement of the above results, when we can
|
|
// compute it easily.
|
|
std::vector<spot::twa_graph_ptr> comp_pos(m);
|
|
std::vector<spot::twa_graph_ptr> comp_neg(m);
|
|
|
|
|
|
unsigned n = vstats.size();
|
|
vstats.resize(n + (no_checks ? 1 : 2));
|
|
statistics_formula* pstats = &vstats[n];
|
|
statistics_formula* nstats = 0;
|
|
pstats->resize(m);
|
|
formulas.push_back(fstr);
|
|
|
|
for (size_t n = 0; n < m; ++n)
|
|
{
|
|
bool prob;
|
|
pos[n] = runner.translate(n, 'P', pstats, prob);
|
|
problems += prob;
|
|
|
|
// If the automaton is deterministic, compute its complement
|
|
// as well. Note that if we have computed statistics
|
|
// already, there is no need to call is_deterministic()
|
|
// again.
|
|
if (!no_complement && pos[n]
|
|
&& ((want_stats && !(*pstats)[n].nondeterministic)
|
|
|| (!want_stats && is_deterministic(pos[n]))))
|
|
comp_pos[n] = dtgba_complement(pos[n]);
|
|
}
|
|
|
|
// ---------- Negative Formula ----------
|
|
|
|
// The negative formula is only needed when checks are
|
|
// activated.
|
|
if (!no_checks)
|
|
{
|
|
nstats = &vstats[n + 1];
|
|
nstats->resize(m);
|
|
|
|
const spot::ltl::formula* nf =
|
|
spot::ltl::unop::instance(spot::ltl::unop::Not, f->clone());
|
|
|
|
if (!allow_dups)
|
|
{
|
|
bool res = unique_set.insert(nf->clone()).second;
|
|
// It is not possible to discover that nf has already been
|
|
// translated, otherwise that would mean that f had been
|
|
// translated too and we would have caught it before.
|
|
assert(res);
|
|
(void) res;
|
|
}
|
|
|
|
runner.round_formula(nf, round);
|
|
formulas.push_back(runner.formula());
|
|
|
|
for (size_t n = 0; n < m; ++n)
|
|
{
|
|
bool prob;
|
|
neg[n] = runner.translate(n, 'N', nstats, prob);
|
|
problems += prob;
|
|
|
|
// If the automaton is deterministic, compute its
|
|
// complement as well. Note that if we have computed
|
|
// statistics already, there is no need to call
|
|
// is_deterministic() again.
|
|
if (!no_complement && neg[n]
|
|
&& ((want_stats && !(*nstats)[n].nondeterministic)
|
|
|| (!want_stats && is_deterministic(neg[n]))))
|
|
comp_neg[n] = dtgba_complement(neg[n]);
|
|
}
|
|
nf->destroy();
|
|
}
|
|
|
|
spot::cleanup_tmpfiles();
|
|
++round;
|
|
|
|
if (!no_checks)
|
|
{
|
|
std::cerr << "Performing sanity checks and gathering statistics..."
|
|
<< std::endl;
|
|
|
|
if (verbose)
|
|
std::cerr << "info: getting rid of any Inf acceptance...\n";
|
|
for (unsigned i = 0; i < m; ++i)
|
|
{
|
|
#define DO(x, prefix, suffix) if (x[i]) \
|
|
{ \
|
|
cleanup_acceptance_here(x[i]); \
|
|
if (x[i]->acc().uses_fin_acceptance()) \
|
|
{ \
|
|
auto st = x[i]->num_states(); \
|
|
auto tr = x[i]->num_transitions(); \
|
|
auto ac = x[i]->acc().num_sets(); \
|
|
x[i] = remove_fin(x[i]); \
|
|
if (verbose) \
|
|
std::cerr << "info:\t" prefix << i \
|
|
<< suffix << "\t(" \
|
|
<< st << " st., " \
|
|
<< tr << " ed., " \
|
|
<< ac << " sets) -> (" \
|
|
<< x[i]->num_states() << " st., " \
|
|
<< x[i]->num_transitions() << " ed., " \
|
|
<< x[i]->acc().num_sets() << " sets)\n"; \
|
|
} \
|
|
}
|
|
DO(pos, " P", " ");
|
|
DO(neg, " N", " ");
|
|
DO(comp_pos, "Comp(P", ")");
|
|
DO(comp_neg, "Comp(N", ")");
|
|
#undef DO
|
|
}
|
|
|
|
// intersection test
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (pos[i])
|
|
for (size_t j = 0; j < m; ++j)
|
|
if (neg[j])
|
|
{
|
|
problems +=
|
|
check_empty_prod(pos[i], neg[j], i, j, false, false);
|
|
|
|
// Deal with the extra complemented automata if we
|
|
// have some.
|
|
|
|
// If comp_pos[j] and comp_neg[j] exist for the
|
|
// same j, it means pos[j] and neg[j] were both
|
|
// deterministic. In that case, we will want to
|
|
// make sure that comp_pos[j]*comp_neg[j] is empty
|
|
// to assert the complementary of pos[j] and
|
|
// neg[j]. However using comp_pos[j] and
|
|
// comp_neg[j] against other translator will not
|
|
// give us any more insight than pos[j] and
|
|
// neg[j]. So we only do intersection checks with
|
|
// a complement automata when one of the two
|
|
// translation was not deterministic.
|
|
|
|
if (i != j && comp_pos[j] && !comp_neg[j])
|
|
problems +=
|
|
check_empty_prod(pos[i], comp_pos[j],
|
|
i, j, false, true);
|
|
if (i != j && comp_neg[i] && !comp_pos[i])
|
|
problems +=
|
|
check_empty_prod(comp_neg[i], neg[j],
|
|
i, j, true, false);
|
|
if (comp_pos[i] && comp_neg[j] &&
|
|
(i == j || (!comp_neg[i] && !comp_pos[j])))
|
|
problems +=
|
|
check_empty_prod(comp_pos[i], comp_neg[j],
|
|
i, j, true, true);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
std::cerr << "Gathering statistics..." << std::endl;
|
|
}
|
|
|
|
spot::ltl::atomic_prop_set* ap = spot::ltl::atomic_prop_collect(f);
|
|
f->destroy();
|
|
|
|
if (want_stats)
|
|
for (size_t i = 0; i < m; ++i)
|
|
{
|
|
(*pstats)[i].product_states.reserve(products);
|
|
(*pstats)[i].product_transitions.reserve(products);
|
|
(*pstats)[i].product_scc.reserve(products);
|
|
if (neg[i])
|
|
{
|
|
(*nstats)[i].product_states.reserve(products);
|
|
(*nstats)[i].product_transitions.reserve(products);
|
|
(*nstats)[i].product_scc.reserve(products);
|
|
}
|
|
}
|
|
for (unsigned p = 0; p < products; ++p)
|
|
{
|
|
// build a random state-space.
|
|
spot::srand(seed);
|
|
|
|
if (verbose)
|
|
std::cerr << "info: building state-space #" << p << '/' << products
|
|
<< " of " << states << " states with seed " << seed
|
|
<< '\n';
|
|
|
|
auto statespace = spot::random_graph(states, density, ap, dict);
|
|
|
|
if (verbose)
|
|
std::cerr << "info: state-space has "
|
|
<< statespace->num_transitions()
|
|
<< " edges\n";
|
|
|
|
// Products of the state space with the positive automata.
|
|
std::vector<spot::const_twa_graph_ptr> pos_prod(m);
|
|
// Products of the state space with the negative automata.
|
|
std::vector<spot::const_twa_graph_ptr> neg_prod(m);
|
|
// Associated SCC maps.
|
|
std::vector<spot::scc_info*> pos_map(m);
|
|
std::vector<spot::scc_info*> neg_map(m);
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (pos[i])
|
|
{
|
|
if (verbose)
|
|
std::cerr << ("info: building product between state-space and"
|
|
" P") << i
|
|
<< " (" << pos[i]->num_states() << " st., "
|
|
<< pos[i]->num_transitions() << " ed.)\n";
|
|
auto p = spot::product(pos[i], statespace);
|
|
pos_prod[i] = p;
|
|
auto sm = new spot::scc_info(p);
|
|
pos_map[i] = sm;
|
|
|
|
// Statistics
|
|
if (want_stats)
|
|
{
|
|
(*pstats)[i].product_scc.push_back(sm->scc_count());
|
|
spot::tgba_statistics s = spot::stats_reachable(p);
|
|
(*pstats)[i].product_states.push_back(s.states);
|
|
(*pstats)[i].product_transitions.push_back(s.transitions);
|
|
}
|
|
}
|
|
|
|
if (!no_checks)
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (neg[i])
|
|
{
|
|
if (verbose)
|
|
std::cerr << ("info: building product between state-space and"
|
|
" N") << i
|
|
<< " (" << neg[i]->num_states() << " st., "
|
|
<< neg[i]->num_transitions() << " ed.)\n";
|
|
|
|
auto p = spot::product(neg[i], statespace);
|
|
neg_prod[i] = p;
|
|
auto sm = new spot::scc_info(p);
|
|
neg_map[i] = sm;
|
|
|
|
// Statistics
|
|
if (want_stats)
|
|
{
|
|
(*nstats)[i].product_scc.push_back(sm->scc_count());
|
|
spot::tgba_statistics s = spot::stats_reachable(p);
|
|
(*nstats)[i].product_states.push_back(s.states);
|
|
(*nstats)[i].product_transitions.push_back(s.transitions);
|
|
}
|
|
}
|
|
|
|
if (!no_checks)
|
|
{
|
|
// cross-comparison test
|
|
problems += cross_check(pos_map, 'P', p);
|
|
problems += cross_check(neg_map, 'N', p);
|
|
|
|
// consistency check
|
|
for (size_t i = 0; i < m; ++i)
|
|
if (pos_map[i] && neg_map[i])
|
|
{
|
|
if (verbose)
|
|
std::cerr << "info: consistency_check (P" << i
|
|
<< ",N" << i << "), state-space #"
|
|
<< p << '/' << products << '\n';
|
|
if (!(consistency_check(pos_map[i], neg_map[i])))
|
|
{
|
|
++problems;
|
|
|
|
std::ostream& err = global_error();
|
|
err << "error: inconsistency between P" << i
|
|
<< " and N" << i;
|
|
if (products > 1)
|
|
err << " for state-space #" << p
|
|
<< '/' << products << '\n';
|
|
else
|
|
err << '\n';
|
|
end_error();
|
|
}
|
|
}
|
|
}
|
|
|
|
// Cleanup.
|
|
if (!no_checks)
|
|
for (size_t i = 0; i < m; ++i)
|
|
delete neg_map[i];
|
|
for (size_t i = 0; i < m; ++i)
|
|
delete pos_map[i];
|
|
++seed;
|
|
}
|
|
std::cerr << std::endl;
|
|
delete ap;
|
|
|
|
// Shall we stop processing formulas now?
|
|
abort_run = global_error_flag && stop_on_error;
|
|
return problems;
|
|
}
|
|
};
|
|
}
|
|
|
|
// Output an RFC4180-compatible CSV file.
|
|
static void
|
|
print_stats_csv(const char* filename)
|
|
{
|
|
if (verbose)
|
|
std::cerr << "info: writing CSV to " << filename << '\n';
|
|
|
|
output_file outf(filename);
|
|
std::ostream& out = outf.ostream();
|
|
|
|
unsigned ntrans = translators.size();
|
|
unsigned rounds = vstats.size();
|
|
assert(rounds == formulas.size());
|
|
|
|
if (!outf.append())
|
|
{
|
|
// Do not output the header line if we append to a file.
|
|
// (Even if that file was empty initially.)
|
|
out << "\"formula\",\"tool\",";
|
|
statistics::fields(out, !opt_omit, has_sr);
|
|
out << '\n';
|
|
}
|
|
for (unsigned r = 0; r < rounds; ++r)
|
|
for (unsigned t = 0; t < ntrans; ++t)
|
|
if (!opt_omit || vstats[r][t].ok)
|
|
{
|
|
out << '"';
|
|
spot::escape_rfc4180(out, formulas[r]);
|
|
out << "\",\"";
|
|
spot::escape_rfc4180(out, translators[t].name);
|
|
out << "\",";
|
|
vstats[r][t].to_csv(out, !opt_omit, has_sr);
|
|
out << '\n';
|
|
}
|
|
}
|
|
|
|
static void
|
|
print_stats_json(const char* filename)
|
|
{
|
|
if (verbose)
|
|
std::cerr << "info: writing JSON to " << filename << '\n';
|
|
|
|
output_file outf(filename);
|
|
std::ostream& out = outf.ostream();
|
|
|
|
unsigned ntrans = translators.size();
|
|
unsigned rounds = vstats.size();
|
|
assert(rounds == formulas.size());
|
|
|
|
out << "{\n \"tool\": [\n \"";
|
|
spot::escape_str(out, translators[0].name);
|
|
for (unsigned t = 1; t < ntrans; ++t)
|
|
{
|
|
out << "\",\n \"";
|
|
spot::escape_str(out, translators[t].name);
|
|
}
|
|
out << "\"\n ],\n \"formula\": [\n \"";
|
|
spot::escape_str(out, formulas[0]);
|
|
for (unsigned r = 1; r < rounds; ++r)
|
|
{
|
|
out << "\",\n \"";
|
|
spot::escape_str(out, formulas[r]);
|
|
}
|
|
out << ("\"\n ],\n \"fields\": [\n \"formula\",\"tool\",");
|
|
statistics::fields(out, !opt_omit, has_sr);
|
|
out << "\n ],\n \"inputs\": [ 0, 1 ],";
|
|
out << "\n \"results\": [";
|
|
bool notfirst = false;
|
|
for (unsigned r = 0; r < rounds; ++r)
|
|
for (unsigned t = 0; t < ntrans; ++t)
|
|
if (!opt_omit || vstats[r][t].ok)
|
|
{
|
|
if (notfirst)
|
|
out << ',';
|
|
notfirst = true;
|
|
out << "\n [ " << r << ',' << t << ',';
|
|
vstats[r][t].to_csv(out, !opt_omit, has_sr, "null");
|
|
out << " ]";
|
|
}
|
|
out << "\n ]\n}\n";
|
|
}
|
|
|
|
int
|
|
main(int argc, char** argv)
|
|
{
|
|
setup(argv);
|
|
|
|
const argp ap = { options, parse_opt, "[COMMANDFMT...]",
|
|
argp_program_doc, children, 0, 0 };
|
|
|
|
if (int err = argp_parse(&ap, argc, argv, ARGP_NO_HELP, 0, 0))
|
|
exit(err);
|
|
|
|
if (jobs.empty())
|
|
jobs.emplace_back("-", 1);
|
|
|
|
if (translators.empty())
|
|
error(2, 0, "No translator to run? Run '%s --help' for usage.",
|
|
program_name);
|
|
|
|
if (color_opt == color_if_tty)
|
|
color_opt = isatty(STDERR_FILENO) ? color_always : color_never;
|
|
|
|
setup_sig_handler();
|
|
|
|
processor p;
|
|
if (p.run())
|
|
return 2;
|
|
|
|
if (formulas.empty())
|
|
{
|
|
error(2, 0, "no formula to translate");
|
|
}
|
|
else
|
|
{
|
|
if (global_error_flag)
|
|
{
|
|
std::ostream& err = global_error();
|
|
if (bogus_output)
|
|
err << ("error: some error was detected during the above runs.\n"
|
|
" Check file ")
|
|
<< bogus_output_filename
|
|
<< " for problematic formulas.";
|
|
else
|
|
err << ("error: some error was detected during the above runs,\n"
|
|
" please search for 'error:' messages in the above"
|
|
" trace.");
|
|
err << std::endl;
|
|
if (timeout_count > 0 || ignored_exec_fail > 0)
|
|
{
|
|
err << "Additionally, ";
|
|
if (timeout_count == 1)
|
|
err << "1 timeout occurred";
|
|
else if (timeout_count > 1)
|
|
err << timeout_count << " timeouts occurred";
|
|
if (timeout_count > 0 && ignored_exec_fail > 0)
|
|
err << " and ";
|
|
if (ignored_exec_fail == 1)
|
|
err << "1 non-zero exit status was ignored";
|
|
if (ignored_exec_fail > 1)
|
|
err << ignored_exec_fail
|
|
<< " non-zero exit statuses were ignored";
|
|
err << '.' << std::endl;
|
|
}
|
|
end_error();
|
|
}
|
|
else if (timeout_count == 0 && ignored_exec_fail == 0)
|
|
{
|
|
std::cerr << "No problem detected." << std::endl;
|
|
}
|
|
else
|
|
{
|
|
if (timeout_count == 1)
|
|
std::cerr << "1 timeout";
|
|
if (timeout_count > 1)
|
|
std::cerr << timeout_count << " timeouts";
|
|
if (timeout_count > 0 && ignored_exec_fail > 0)
|
|
std::cerr << " and ";
|
|
if (ignored_exec_fail == 1)
|
|
std::cerr << "1 non-zero exit status";
|
|
if (ignored_exec_fail > 1)
|
|
std::cerr << ignored_exec_fail
|
|
<< " non-zero exit statuses";
|
|
std::cerr << ", but no other problem detected." << std::endl;
|
|
}
|
|
}
|
|
|
|
delete bogus_output;
|
|
delete grind_output;
|
|
|
|
if (json_output)
|
|
print_stats_json(json_output);
|
|
if (csv_output)
|
|
print_stats_csv(csv_output);
|
|
|
|
return global_error_flag;
|
|
}
|