* spot/twa/acc.hh, spot/twaalgos/alternation.cc, spot/twaalgos/determinize.cc, spot/twaalgos/ndfs_result.hxx, spot/twaalgos/tau03.cc, spot/ltsmin/ltsmin.cc, tests/core/parity.cc: here
391 lines
13 KiB
C++
391 lines
13 KiB
C++
// -*- coding: utf-8 -*-
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// Copyright (C) 2016, 2018 Laboratoire de Recherche et Développement
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// 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 "config.h"
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#include <ctime>
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#include <vector>
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#include <spot/twaalgos/dualize.hh>
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#include <spot/twaalgos/hoa.hh>
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#include <spot/twaalgos/iscolored.hh>
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#include <spot/twaalgos/parity.hh>
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#include <spot/twaalgos/product.hh>
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#include <spot/twaalgos/randomgraph.hh>
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#include <spot/misc/random.hh>
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#include <spot/twaalgos/complete.hh>
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#include <spot/twa/twagraph.hh>
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#include <spot/twa/fwd.hh>
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#include <spot/twa/acc.hh>
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#include <spot/misc/trival.hh>
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#include <utility>
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#include <string>
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#include <iostream>
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#define LAST_AUT result.back().first
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#define LAST_NUM_SETS result.back().second
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#define NEW_AUT() do { \
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result.emplace_back(spot::random_graph(6, 0.5, &apf, \
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current_bdd, 0, 0, 0.5, true), 0); \
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LAST_NUM_SETS = 0; \
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/* print_hoa need this */ \
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LAST_AUT->prop_state_acc(spot::trival::maybe()); \
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} while (false)
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#define SET_TR(t, value) do { \
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unsigned value_tmp = value; \
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if (value_tmp + 1 > LAST_NUM_SETS) \
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LAST_NUM_SETS = value_tmp + 1; \
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t.acc.set(value_tmp); \
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} while (false)
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static std::vector<std::pair<spot::twa_graph_ptr, unsigned>>
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generate_aut(const spot::bdd_dict_ptr& current_bdd)
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{
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spot::atomic_prop_set apf = spot::create_atomic_prop_set(3);
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std::vector<std::pair<spot::twa_graph_ptr, unsigned>> result;
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// No accset on any transition
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NEW_AUT();
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// The same accset on every transitions
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NEW_AUT();
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for (auto& t: LAST_AUT->edges())
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SET_TR(t, 0);
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// All used / First unused / Last unused / First and last unused
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for (auto incr_ext: { 0, 1 })
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for (auto used: { 1, 2 })
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for (auto modulo: { 4, 5, 6 })
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if (incr_ext + modulo <= 6)
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{
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NEW_AUT();
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unsigned count = 0;
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for (auto& t: LAST_AUT->edges())
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if (std::rand() % used == 0)
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{
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auto value = ++count % modulo + incr_ext;
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SET_TR(t, value);
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}
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}
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// One-Three in middle not used
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for (auto i: { 0, 1 })
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for (auto start: { 1, 2 })
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for (auto unused: { 1, 2, 3 })
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{
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NEW_AUT();
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auto count = 0;
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for (auto& t: LAST_AUT->edges())
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{
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int val = 0;
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if (count % (3 + i) < start)
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val = count % (3 + i);
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else
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val = count % (3 + i) + unused;
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SET_TR(t, val);
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}
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}
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// All accset on all transitions
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for (auto i: { 0, 1 })
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{
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NEW_AUT();
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for (auto& t: LAST_AUT->edges())
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for (auto acc = 0; acc < 5 + i; ++acc)
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SET_TR(t, acc);
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}
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// Some random automata
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std::vector<std::vector<int>> cont_sets;
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for (auto i = 0; i <= 6; ++i)
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{
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std::vector<int> cont_set;
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for (auto j = 0; j < i; ++j)
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cont_set.push_back(j);
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cont_sets.push_back(cont_set);
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}
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for (auto min: { 0, 1 })
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{
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for (auto num_sets: { 1, 2, 5, 6 })
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for (auto i = 0; i < 10; ++i)
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{
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NEW_AUT();
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for (auto& t: LAST_AUT->edges())
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{
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auto nb_acc = std::rand() % (num_sets - min + 1) + min;
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std::random_shuffle(cont_sets[num_sets].begin(),
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cont_sets[num_sets].end());
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for (auto j = 0; j < nb_acc; ++j)
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SET_TR(t, cont_sets[num_sets][j]);
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}
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}
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for (auto num_sets: {2, 3})
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for (auto even: {0, 1})
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if ((num_sets - 1) * 2 + even < 6)
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{
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NEW_AUT();
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for (auto& t: LAST_AUT->edges())
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{
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auto nb_acc = std::rand() % (num_sets - min + 1) + min;
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std::random_shuffle(cont_sets[num_sets].begin(),
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cont_sets[num_sets].end());
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for (auto j = 0; j < nb_acc; ++j)
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{
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auto value = cont_sets[num_sets][j] * 2 + even;
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SET_TR(t, value);
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}
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}
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}
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}
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return result;
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}
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static std::vector<std::tuple<spot::acc_cond::acc_code, bool, bool, unsigned>>
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generate_acc()
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{
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std::vector<std::tuple<spot::acc_cond::acc_code, bool, bool, unsigned>>
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result;
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for (auto max: { true, false })
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for (auto odd: { true, false })
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for (auto num_sets: { 0, 1, 2, 5, 6 })
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result.emplace_back(spot::acc_cond::acc_code::parity(max, odd,
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num_sets), max, odd, num_sets);
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return result;
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}
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static bool is_included(spot::const_twa_graph_ptr left,
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spot::const_twa_graph_ptr right, bool first_left)
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{
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auto tmp = spot::dualize(right);
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auto product = spot::product(left, tmp);
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if (!product->is_empty())
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{
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std::cerr << "======Not included======" << std::endl;
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if (first_left)
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std::cerr << "======First automaton======" << std::endl;
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else
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std::cerr << "======Second automaton======" << std::endl;
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spot::print_hoa(std::cerr, left);
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std::cerr << std::endl;
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if (first_left)
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std::cerr << "======Second automaton======" << std::endl;
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else
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std::cerr << "======First automaton======" << std::endl;
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spot::print_hoa(std::cerr, right);
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std::cerr << std::endl;
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if (first_left)
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std::cerr << "======!Second automaton======" << std::endl;
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else
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std::cerr << "======!First automaton======" << std::endl;
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spot::print_hoa(std::cerr, tmp);
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std::cerr << std::endl;
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if (first_left)
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std::cerr << "======First X !Second======" <<std::endl;
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else
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std::cerr << "======Second X !First======" <<std::endl;
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spot::print_hoa(std::cerr, product);
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std::cerr << std::endl;
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return false;
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}
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return true;
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}
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static bool are_equiv(spot::const_twa_graph_ptr left,
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spot::const_twa_graph_ptr right)
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{
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return is_included(left, right, true) && is_included(right, left, false);
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}
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static bool is_right_parity(spot::const_twa_graph_ptr aut,
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spot::parity_kind target_kind,
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spot::parity_style target_style,
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bool origin_max, bool origin_odd, unsigned num_sets)
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{
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bool is_max;
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bool is_odd;
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if (!aut->acc().is_parity(is_max, is_odd))
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return false;
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bool target_max;
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bool target_odd;
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if (aut->num_sets() <= 1 || num_sets <= 1
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|| target_kind == spot::parity_kind_any)
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target_max = is_max;
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else if (target_kind == spot::parity_kind_max)
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target_max = true;
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else if (target_kind == spot::parity_kind_min)
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target_max = false;
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else
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target_max = origin_max;
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if (aut->num_sets() == 0 || num_sets == 0
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|| target_style == spot::parity_style_any)
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target_odd = is_odd;
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else if (target_style == spot::parity_style_odd)
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target_odd = true;
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else if (target_style == spot::parity_style_even)
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target_odd = false;
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else
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target_odd = origin_odd;
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if (!(is_max == target_max && is_odd == target_odd))
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{
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std::cerr << "======Wrong accceptance======" << std::endl;
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std::string kind[] = { "max", "min", "same", "any" };
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std::string style[] = { "odd", "even", "same", "any" };
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std::cerr << "target: " << kind[target_kind] << ' '
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<< style[target_style] << std::endl;
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std::cerr << "origin: " << kind[origin_max ? 0 : 1] << ' '
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<< style[origin_odd ? 0 : 1] << ' '
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<< num_sets << std::endl;
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std::cerr << "actually: " << kind[is_max ? 0 : 1] << ' '
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<< style[is_odd ? 0 : 1] << ' '
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<< aut->num_sets() << std::endl;
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std::cerr << std::endl;
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return false;
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}
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return true;
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}
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static bool is_almost_colored(spot::const_twa_graph_ptr aut)
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{
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for (auto t: aut->edges())
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if (t.acc.count() > 1)
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{
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std::cerr << "======Not colored======" << std::endl;
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spot::print_hoa(std::cerr, aut);
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std::cerr << std::endl;
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return false;
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}
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return true;
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}
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static bool is_colored_printerr(spot::const_twa_graph_ptr aut)
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{
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bool result = is_colored(aut);
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if (!result)
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{
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std::cerr << "======Not colored======" << std::endl;
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spot::print_hoa(std::cerr, aut);
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std::cerr << std::endl;
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}
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return result;
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}
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static spot::parity_kind to_parity_kind(bool is_max)
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{
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if (is_max)
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return spot::parity_kind_max;
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return spot::parity_kind_min;
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}
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static spot::parity_style to_parity_style(bool is_odd)
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{
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if (is_odd)
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return spot::parity_style_odd;
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return spot::parity_style_even;
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}
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int main()
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{
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auto current_bdd = spot::make_bdd_dict();
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spot::srand(0);
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auto parity_kinds =
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{
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spot::parity_kind_max,
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spot::parity_kind_min,
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spot::parity_kind_same,
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spot::parity_kind_any,
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};
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auto parity_styles =
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{
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spot::parity_style_odd,
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spot::parity_style_even,
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spot::parity_style_same,
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spot::parity_style_any,
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};
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auto acceptance_sets = generate_acc();
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auto automata_tuples = generate_aut(current_bdd);
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unsigned num_automata = automata_tuples.size();
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unsigned num_acceptance = acceptance_sets.size();
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std::cerr << "num of automata: " << num_automata << '\n';
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std::cerr << "num of acceptance expression: " << num_acceptance << '\n';
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for (auto acc_tuple: acceptance_sets)
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for (auto& aut_tuple: automata_tuples)
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{
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auto& aut = aut_tuple.first;
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auto aut_num_sets = aut_tuple.second;
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auto acc = std::get<0>(acc_tuple);
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auto is_max = std::get<1>(acc_tuple);
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auto is_odd = std::get<2>(acc_tuple);
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auto acc_num_sets = std::get<3>(acc_tuple);
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if (aut_num_sets <= acc_num_sets)
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{
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aut->set_acceptance(acc_num_sets, acc);
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// Check change_parity
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for (auto kind: parity_kinds)
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for (auto style: parity_styles)
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{
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auto output = spot::change_parity(aut, kind, style);
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if (!is_right_parity(output, kind, style,
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is_max, is_odd, acc_num_sets))
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throw std::runtime_error("change parity: wrong acceptance");
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if (!are_equiv(aut, output))
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throw std::runtime_error("change_parity: not equivalent.");
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if (!is_almost_colored(output))
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throw std::runtime_error(
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"change_parity: too many acc on a transition");
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}
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// Check colorize_parity
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for (auto keep_style: { true, false })
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{
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auto output = spot::colorize_parity(aut, keep_style);
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if (!is_colored_printerr(output))
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throw std::runtime_error("colorize_parity: not colored.");
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if (!are_equiv(aut, output))
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throw std::runtime_error("colorize_parity: not equivalent.");
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auto target_kind = to_parity_kind(is_max);
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auto target_style = keep_style ? to_parity_style(is_odd)
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: spot::parity_style_any;
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if (!is_right_parity(output, target_kind, target_style,
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is_max, is_odd, acc_num_sets))
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throw std::runtime_error("change_parity: wrong acceptance.");
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}
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// Check cleanup_parity
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for (auto keep_style: { true, false })
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{
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auto output = spot::cleanup_parity(aut, keep_style);
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if (!is_almost_colored(output))
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throw std::runtime_error(
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"cleanup_parity: too many acc on a transition.");
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if (!are_equiv(aut, output))
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throw std::runtime_error("cleanup_parity: not equivalent.");
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auto target_kind = to_parity_kind(is_max);
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auto target_style = keep_style ? to_parity_style(is_odd)
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: spot::parity_style_any;
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if (!is_right_parity(output, target_kind, target_style,
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is_max, is_odd, acc_num_sets))
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throw std::runtime_error("cleanup_parity: wrong acceptance.");
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}
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}
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}
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return 0;
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}
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