Calling reduce_parity() in to_parity() is confusing, because then running to_parity() on one SCC does not necessarily produce the same output as running to_parity() on the entire automaton. However it is necessary for the implementation of parity_prefix. As a compromise, disable reduce_parity() when parity_prefix is disabled, this way we can use that to demonstrate how the algorithm works. * spot/twaalgos/toparity.hh, spot/twaalgos/toparity.cc: Do not call reduce_parity() when parity_prefix is disabled. * tests/python/toparity.py: Adjust.
378 lines
9 KiB
Python
378 lines
9 KiB
Python
#!/usr/bin/python3
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# -*- mode: python; coding: utf-8 -*-
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# Copyright (C) 2018-2020 Laboratoire de Recherche et Développement de
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# l'EPITA.
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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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import spot
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from itertools import zip_longest
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from buddy import bddfalse
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# Tests for the new version of to_parity
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no_option = spot.to_parity_options()
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no_option.search_ex = False
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no_option.use_last = False
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no_option.force_order = False
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no_option.partial_degen = False
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no_option.acc_clean = False
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no_option.parity_equiv = False
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no_option.parity_prefix = False
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no_option.rabin_to_buchi = False
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no_option.propagate_col = False
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acc_clean_search_opt = spot.to_parity_options()
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acc_clean_search_opt.force_order = False
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acc_clean_search_opt.partial_degen = False
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acc_clean_search_opt.parity_equiv = False
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acc_clean_search_opt.parity_prefix = False
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acc_clean_search_opt.rabin_to_buchi = False
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acc_clean_search_opt.propagate_col = False
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partial_degen_opt = spot.to_parity_options()
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partial_degen_opt.search_ex = False
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partial_degen_opt.force_order = False
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partial_degen_opt.parity_equiv = False
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partial_degen_opt.parity_prefix = False
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partial_degen_opt.rabin_to_buchi = False
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partial_degen_opt.propagate_col = False
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parity_equiv_opt = spot.to_parity_options()
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parity_equiv_opt.search_ex = False
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parity_equiv_opt.use_last = False
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parity_equiv_opt.force_order = False
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parity_equiv_opt.partial_degen = False
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parity_equiv_opt.parity_prefix = False
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parity_equiv_opt.rabin_to_buchi = False
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parity_equiv_opt.propagate_col = False
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rab_to_buchi_opt = spot.to_parity_options()
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rab_to_buchi_opt.use_last = False
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rab_to_buchi_opt.force_order = False
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rab_to_buchi_opt.partial_degen = False
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rab_to_buchi_opt.parity_equiv = False
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rab_to_buchi_opt.parity_prefix = False
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rab_to_buchi_opt.propagate_col = False
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# Force to use CAR or IAR for each SCC
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use_car_opt = spot.to_parity_options()
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use_car_opt.partial_degen = False
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use_car_opt.parity_equiv = False
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use_car_opt.parity_prefix = False
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use_car_opt.rabin_to_buchi = False
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use_car_opt.propagate_col = False
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all_opt = spot.to_parity_options()
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all_opt.pretty_print = True
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options = [
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no_option,
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acc_clean_search_opt,
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partial_degen_opt,
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parity_equiv_opt,
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rab_to_buchi_opt,
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use_car_opt,
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all_opt,
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]
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def test(aut, expected_num_states=[], full=True):
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for (opt, expected_num) in zip_longest(options, expected_num_states):
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p1 = spot.to_parity(aut,
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search_ex = opt.search_ex,
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use_last = opt.use_last,
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force_order = opt.force_order,
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partial_degen = opt.partial_degen,
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acc_clean = opt.acc_clean,
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parity_equiv = opt.parity_equiv,
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parity_prefix = opt.parity_prefix,
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rabin_to_buchi = opt.rabin_to_buchi,
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reduce_col_deg = opt.reduce_col_deg,
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propagate_col = opt.propagate_col,
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pretty_print = opt.pretty_print,
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)
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p1st, p1ed, p1se = p1.num_states(), p1.num_edges(), p1.num_sets()
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if opt.parity_prefix is False:
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# Reduce the number of colors to help are_equivalent
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spot.reduce_parity_here(p1)
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assert spot.are_equivalent(aut, p1)
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if expected_num is not None:
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assert p1.num_states() == expected_num
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if full:
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# Make sure passing opt is the same as setting
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# each argument individually
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p2 = spot.to_parity(aut, opt)
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assert p2.num_states() == p1st
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assert p2.num_edges() == p1ed
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assert p2.num_sets() == p1se
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test(spot.automaton("""HOA: v1
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name: "(FGp0 & ((XFp0 & F!p1) | F(Gp1 & XG!p0))) | G(F!p0 & (XFp0 | F!p1) &
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F(Gp1 | G!p0))"
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States: 14
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Start: 0
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AP: 2 "p1" "p0"
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Acceptance: 6 (Fin(0) & Fin(1)) | ((Fin(4)|Fin(5)) & (Inf(2)&Inf(3)))
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properties: trans-labels explicit-labels trans-acc complete
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properties: deterministic
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--BODY--
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State: 0
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[!0] 1
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[0] 2
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State: 1
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[!0&!1] 1 {0 1 2 3 5}
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[0&!1] 3
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[!0&1] 4
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[0&1] 5
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State: 2
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[0&!1] 2 {1}
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[!0&1] 4
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[!0&!1] 6
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[0&1] 7
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State: 3
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[0&!1] 3 {1 3}
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[!0&1] 4
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[!0&!1] 6 {0 1 2 3 5}
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[0&1] 8
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State: 4
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[!0&!1] 4 {1 2 3 5}
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[!0&1] 4 {2 4 5}
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[0&!1] 5 {1 3}
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[0&1] 5 {4}
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State: 5
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[!0&1] 4 {2 4 5}
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[0&!1] 5 {1 3}
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[0&1] 8 {2 4}
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[!0&!1] 9 {1 2 3 5}
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State: 6
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[0&!1] 3 {1 3}
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[!0&1] 4
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[0&1] 5
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[!0&!1] 10
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State: 7
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[!0&1] 4
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[0&!1] 7 {1 3}
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[!0&!1] 11
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[0&1] 12 {0 4}
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State: 8
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[!0&1] 4 {2 4 5}
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[0&1] 5 {4}
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[0&!1] 8 {1 3}
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[!0&!1] 11 {1 3 5}
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State: 9
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[!0&1] 4 {2 4 5}
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[0&!1] 5 {1 3}
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[0&1] 5 {4}
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[!0&!1] 11 {1 3 5}
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State: 10
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[!0&1] 4
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[0&1] 8
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[!0&!1] 10 {0 1 2 3 5}
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[0&!1] 13 {1 2 3}
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State: 11
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[!0&1] 4 {2 4 5}
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[0&!1] 8 {1 2 3}
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[0&1] 8 {2 4}
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[!0&!1] 11 {1 2 3 5}
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State: 12
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[!0&1] 4
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[0&1] 7 {0 2 4}
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[!0&!1] 9
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[0&!1] 12 {1 3}
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State: 13
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[!0&1] 4
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[0&1] 5
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[!0&!1] 10 {0 1 3 5}
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[0&!1] 13 {1 3}
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--END--"""), [35, 28, 23, 30, 29, 25, 22])
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test(spot.automaton("""
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HOA: v1
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States: 2
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Start: 0
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AP: 2 "p0" "p1"
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Acceptance: 5 (Inf(0)&Inf(1)) | ((Fin(2)|Fin(3)) & Fin(4))
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--BODY--
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State: 0
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[!0 & 1] 0 {2 3}
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[!0 & !1] 0 {3}
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[0] 1
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State: 1
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[0&1] 1 {1 2 4}
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[0&!1] 1 {4}
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[!0&1] 1 {0 1 2 3}
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[!0&!1] 1 {0 3}
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--END--"""), [7, 5, 3, 6, 5, 5, 3])
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for i,f in enumerate(spot.randltl(10, 400)):
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test(spot.translate(f, "det", "G"), full=(i<100))
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for f in spot.randltl(5, 2500):
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test(spot.translate(f), full=False)
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test(spot.automaton("""
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HOA: v1
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States: 4
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Start: 0
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AP: 2 "p0" "p1"
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Acceptance: 6
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((Fin(1) | Inf(2)) & Inf(5)) | (Fin(0) & (Fin(1) | (Fin(3) & Inf(4))))
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properties: trans-labels explicit-labels trans-acc complete
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properties: deterministic
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--BODY--
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State: 0
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[!0&!1] 0 {2}
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[0&1] 1 {0 5}
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[0&!1] 1 {0 2 5}
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[!0&1] 2 {1}
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State: 1
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[0&1] 1 {0}
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[!0&!1] 1 {2}
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[0&!1] 1 {0 2}
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[!0&1] 2 {1}
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State: 2
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[!0&!1] 0 {2 3}
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[0&!1] 0 {0 2 3 5}
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[!0&1] 2 {1 4}
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[0&1] 3 {0 5}
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State: 3
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[!0&!1] 0 {2 3}
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[0&!1] 0 {0 2 3 5}
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[!0&1] 2 {1 4}
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[0&1] 3 {0}
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--END--
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"""), [80, 22, 80, 80, 80, 17, 10])
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test(spot.automaton("""
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HOA: v1
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States: 5
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Start: 0
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AP: 2 "p1" "p0"
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Acceptance: 5 (Fin(0) & Fin(1)) | (Fin(3) & (Inf(2)&Inf(4)))
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properties: trans-labels explicit-labels trans-acc complete
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properties: deterministic
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--BODY--
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State: 0
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[!0] 1
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[0] 2
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State: 1
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[!0&!1] 1 {0 1}
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[!0&1] 3
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[0] 4
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State: 2
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[!0&1] 1
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[0&!1] 2
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[0&1] 2 {0 1 2 4}
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[!0&!1] 3
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State: 3
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[!0&1] 3 {1 2 3}
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[!0&!1] 3 {4}
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[0&!1] 4 {3}
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[0&1] 4 {1 2 3}
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State: 4
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[!0&!1] 3 {3}
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[!0&1] 3 {1 2 3}
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[0&!1] 4
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[0&1] 4 {1 2 4}
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--END--
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"""), [9, 6, 6, 6, 7, 6, 6])
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test(spot.automaton("""
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HOA: v1
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States: 2
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Start: 0
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AP: 2 "p1" "p0"
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Acceptance: 5 (Fin(0) & (Fin(3)|Fin(4)) & (Inf(1)&Inf(2))) | Inf(3)
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properties: trans-labels explicit-labels trans-acc complete
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properties: deterministic stutter-invariant
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--BODY--
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State: 0
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[0&!1] 0 {2 3}
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[!0&!1] 0 {2 3 4}
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[!0&1] 1
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[0&1] 1 {2 4}
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State: 1
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[!0&!1] 0 {0 2 3 4}
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[!0&1] 1 {1}
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[0&!1] 1 {2 3}
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[0&1] 1 {1 2 4}
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--END--
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"""), [11, 6, 3, 7, 7, 4, 3])
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# Tests both the old and new version of to_parity
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a = spot.automaton("""HOA: v1
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States: 1
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Start: 0
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AP: 2 "a" "b"
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Acceptance: 2 Inf(0)|Inf(1)
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--BODY--
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State: 0
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[0&1] 0 {0 1}
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[0&!1] 0 {0}
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[!0&1] 0 {1}
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[!0&!1] 0
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--END--""")
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p = spot.to_parity_old(a, True)
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assert spot.are_equivalent(a, p)
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test(a)
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a = spot.automaton("""
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HOA: v1 States: 6 Start: 0 AP: 2 "p0" "p1" Acceptance: 6 Inf(5) |
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Fin(2) | Inf(1) | (Inf(0) & Fin(3)) | Inf(4) properties: trans-labels
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explicit-labels trans-acc --BODY-- State: 0 [0&1] 2 {4 5} [0&1] 4 {0 4}
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[!0&!1] 3 {3 5} State: 1 [0&!1] 3 {1 5} [!0&!1] 5 {0 1} State: 2 [!0&!1]
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0 {0 3} [0&!1] 1 {0} State: 3 [!0&1] 4 {1 2 3} [0&1] 3 {3 4 5} State:
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4 [!0&!1] 1 {2 4} State: 5 [!0&1] 4 --END--
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""")
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p = spot.to_parity_old(a, True)
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assert p.num_states() == 22
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assert spot.are_equivalent(a, p)
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test(a, [8, 7, 8, 8, 6, 7, 6])
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# Force a few edges to false, to make sure to_parity() is OK with that.
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for e in a.out(2):
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if e.dst == 1:
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e.cond = bddfalse
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break
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for e in a.out(3):
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if e.dst == 3:
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e.cond = bddfalse
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break
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p = spot.to_parity_old(a, True)
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assert p.num_states() == 22
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assert spot.are_equivalent(a, p)
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test(a, [7, 6, 7, 7, 6, 6, 6])
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for f in spot.randltl(4, 400):
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d = spot.translate(f, "det", "G")
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p = spot.to_parity_old(d, True)
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assert spot.are_equivalent(p, d)
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for f in spot.randltl(5, 2000):
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n = spot.translate(f)
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p = spot.to_parity_old(n, True)
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assert spot.are_equivalent(n, p)
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# Issue #390.
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a = spot.translate('!(GFa -> (GFb & GF(!b & !Xb)))', 'gen', 'det')
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b = spot.to_parity_old(a, True)
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assert a.equivalent_to(b)
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test(a, [7, 7, 3, 7, 8, 7, 3])
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