# -*- mode: python; coding: utf-8 -*- # Copyright (C) by the Spot authors, see the AUTHORS file for details. # # 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 . 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)