spot/tests/python/satmin.py
Alexandre Duret-Lutz 9cc1bdf10f postprocess, translate: add support for Büchi (not state-based)
spot/twaalgos/postproc.hh: Introduce options Buchi and
GeneralizedBuchi.  The latter is similar to TGBA but the former differs
from BA in that it does not imply state-based acceptance, since that
can be specified separately.  Also all other acceptance types are not
abbreviated, so those new names make more sense.
* NEWS: Mention that.
* spot/twaalgos/postproc.cc, spot/twaalgos/translate.cc: Adjust
to support Buchi and GeneralizedBuchi without breaking BA and TGBA.
* bin/autfilt.cc, bin/common_aoutput.cc, bin/common_post.cc,
bin/ltl2tgta.cc, doc/org/tut10.org, doc/org/tut12.org,
doc/org/tut30.org, python/spot/__init__.py,
tests/python/automata.ipynb, tests/python/langmap.py,
tests/python/misc-ec.py, tests/python/satmin.ipynb,
tests/python/satmin.py, tests/python/toweak.py: Use the new names.
* tests/Makefile.am: Add missing langmap.py.
2020-10-06 17:46:34 +02:00

239 lines
9.5 KiB
Python

# -*- mode: python; coding: utf-8 -*-
# Copyright (C) 2015, 2020 Laboratoire de Recherche et Développement
# de l'Epita
#
# This file is part of Spot, a model checking library.
#
# Spot is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# Spot is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
# License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import spot
aut = spot.translate('GFa & GFb', 'Buchi', 'SBAcc')
assert aut.num_sets() == 1
assert aut.num_states() == 3
assert aut.is_deterministic()
min1 = spot.sat_minimize(aut, acc='Rabin 1')
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_langmap=True)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=0)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=1)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=2)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=50)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=-1)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=0)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=1)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=2)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=50)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_naive=True)
assert min1.num_sets() == 2
assert min1.num_states() == 2
min2 = spot.sat_minimize(aut, acc='Streett 2')
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_langmap=True)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=0)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=1)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=2)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=50)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=-1)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=0)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=1)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=2)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=50)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_naive=True)
assert min2.num_sets() == 4
assert min2.num_states() == 1
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_langmap=True)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1,
sat_incr_steps=0)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1,
sat_incr_steps=1)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1,
sat_incr_steps=2)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1,
sat_incr_steps=50)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2,
sat_incr_steps=-1)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2,
sat_incr_steps=0)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2,
sat_incr_steps=1)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2,
sat_incr_steps=2)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2,
sat_incr_steps=50)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_naive=True)
assert min3.num_sets() == 4
assert min3.num_states() == 3
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_langmap=True)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=0)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=1)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=2)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=50)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=-1)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=0)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=1)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=2)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=50)
assert min4.num_sets() == 3
assert min4.num_states() == 2
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_naive=True)
assert min4.num_sets() == 3
assert min4.num_states() == 2