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spot/tests/python/satmin.py
Alexandre Duret-Lutz 530cf7ca47 tests: replace all "assert" by unittest assertions 
If the assert fails because of a comparison, it is useful that the
test suite log contains a comparison of these values.
unittest.assertEqual() and friends do that for us.

* HACKING: Add a section about Python tests.
* tests/sanity/style.test: Forbid the use of "assert" in
Python tests.
* tests/python/298.py, tests/python/341.py, tests/python/471.py,
tests/python/accparse2.py, tests/python/aiger.py,
tests/python/aliases.py, tests/python/alternating.py,
tests/python/bdddict.py, tests/python/bdditer.py,
tests/python/bugdet.py, tests/python/complement_semidet.py,
tests/python/declenv.py, tests/python/decompose_scc.py,
tests/python/det.py, tests/python/dualize.py, tests/python/ecfalse.py,
tests/python/except.py, tests/python/game.py, tests/python/gen.py,
tests/python/genem.py, tests/python/implies.py,
tests/python/intrun.py, tests/python/kripke.py,
tests/python/langmap.py, tests/python/ltl2tgba.py,
tests/python/ltlf.py, tests/python/ltlparse.py,
tests/python/ltlsimple.py, tests/python/mealy.py,
tests/python/merge.py, tests/python/mergedge.py,
tests/python/misc-ec.py, tests/python/optionmap.py,
tests/python/origstate.py, tests/python/otfcrash.py,
tests/python/parity.py, tests/python/parsetgba.py,
tests/python/pdegen.py, tests/python/prodexpt.py,
tests/python/randgen.py, tests/python/relabel.py,
tests/python/remfin.py, tests/python/removeap.py,
tests/python/rs_like.py, tests/python/satmin.py,
tests/python/sbacc.py, tests/python/sccfilter.py,
tests/python/sccinfo.py, tests/python/sccsplit.py,
tests/python/semidet.py, tests/python/setacc.py,
tests/python/setxor.py, tests/python/simplacc.py,
tests/python/simstate.py, tests/python/sonf.py, tests/python/split.py,
tests/python/streett_totgba.py, tests/python/streett_totgba2.py,
tests/python/stutter.py, tests/python/sum.py,
tests/python/synthesis.py, tests/python/toparity.py,
tests/python/toweak.py, tests/python/tra2tba.py,
tests/python/trival.py, tests/python/twagraph.py,
tests/python/zlktree.py: Replace all occurrences of "assert" by calls
to unittest.TestCase methods.
2022-03-07 09:03:21 +01:00

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# -*- mode: python; coding: utf-8 -*-
# Copyright (C) 2015, 2020, 2021, 2022 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
from unittest import TestCase
tc = TestCase()
aut = spot.translate('GFa & GFb', 'Buchi', 'SBAcc')
tc.assertEqual(aut.num_sets(), 1)
tc.assertEqual(aut.num_states(), 3)
tc.assertTrue(aut.is_deterministic())
min1 = spot.sat_minimize(aut, acc='Rabin 1')
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_langmap=True)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=0)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=1)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=2)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=1, sat_incr_steps=50)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=-1)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=0)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=1)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=2)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_incr=2, sat_incr_steps=50)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min1 = spot.sat_minimize(aut, acc='Rabin 1', sat_naive=True)
tc.assertEqual(min1.num_sets(), 2)
tc.assertEqual(min1.num_states(), 2)
min2 = spot.sat_minimize(aut, acc='Streett 2')
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_langmap=True)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=0)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=1)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=2)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=1, sat_incr_steps=50)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=-1)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=0)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=1)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=2)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_incr=2, sat_incr_steps=50)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min2 = spot.sat_minimize(aut, acc='Streett 2', sat_naive=True)
tc.assertEqual(min2.num_sets(), 4)
tc.assertEqual(min2.num_states(), 1)
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(min3.num_states(), 3)
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_langmap=True)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(min3.num_states(), 3)
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=1)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(min3.num_states(), 3)
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_incr=2)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(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)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(min3.num_states(), 3)
min3 = spot.sat_minimize(aut, acc='Rabin 2',
state_based=True, max_states=5, sat_naive=True)
tc.assertEqual(min3.num_sets(), 4)
tc.assertEqual(min3.num_states(), 3)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_langmap=True)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=0)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=1)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=2)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=1, sat_incr_steps=50)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=-1)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=0)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=1)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=2)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_incr=2, sat_incr_steps=50)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
min4 = spot.sat_minimize(aut, acc='parity max odd 3',
colored=True, sat_naive=True)
tc.assertEqual(min4.num_sets(), 3)
tc.assertEqual(min4.num_states(), 2)
aut = spot.translate('GFa')
tc.assertEqual(aut.num_sets(), 1)
tc.assertEqual(aut.num_states(), 1)
tc.assertTrue(aut.is_deterministic())
out = spot.sat_minimize(aut, state_based=True)
tc.assertEqual(out.num_states(), 2)
out = spot.sat_minimize(aut, state_based=True, max_states=1)
tc.assertTrue(out is None)
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