remove parity_product and parity_product_or
* NEWS: document it * spot/twaalgos/parity.cc, spot/twaalgos/parity.hh, tests/core/parity.cc: here
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4 changed files with 4 additions and 451 deletions
4
NEWS
4
NEWS
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@ -84,6 +84,10 @@ New in spot 2.5.3.dev (not yet released)
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They are most welcome in Python, since we used to redefine
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them every now and them.
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- spot::parity_product() and spot::parity_product_or() were dropped.
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The code was buggy, hard to maintain, and these functions do not
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seem to be used.
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Python:
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- New spot.jupyter package. This currently contains a function for
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@ -338,350 +338,4 @@ namespace spot
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return aut;
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}
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namespace
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{
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using state_history_value_t = unsigned;
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class state_history : public std::vector<state_history_value_t>
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{
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public:
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using value_t = state_history_value_t;
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state_history(unsigned left_num_sets, unsigned right_num_sets) :
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left_num_sets_(left_num_sets),
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right_num_sets_(right_num_sets)
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{
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resize(left_num_sets + right_num_sets, 0);
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}
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value_t get_left(value_t right) const
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{
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return get(right, true);
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}
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value_t get_right(value_t left) const
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{
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return get(left, false);
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}
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void set_left(value_t right, value_t val)
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{
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set(right, true, val);
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}
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void set_right(value_t left, value_t val)
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{
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set(left, false, val);
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}
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unsigned get_left_num_sets() const
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{
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return left_num_sets_;
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}
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unsigned get_right_num_sets() const
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{
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return right_num_sets_;
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}
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value_t get_max_acc_set(bool and_cond) const
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{
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// i is the index of the resulting automaton acceptance set
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// If i is even, it means that the according set is a set with
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// transitions that need to be infinitly often as the
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// acceptance is a parity even. Then k, the index of the
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// first automaton must be even too.
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unsigned l = right_num_sets_;
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while (l-- > 0)
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{
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auto k = get_left(l);
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bool can_jump = and_cond ? (k & l & 1) != 1 : ((k | l) & 1) != 0;
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if (!can_jump)
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--k;
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auto new_l = get_right(k);
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if (new_l >= l)
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return k + l;
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else if (can_jump)
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l = new_l + 1;
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}
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return 0;
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}
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state_history make_succ(value_t left_acc_set,
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value_t right_acc_set) const
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{
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auto mat = state_history(left_num_sets_, right_num_sets_);
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for (unsigned i = 0; i < right_num_sets_; ++i)
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{
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auto old = get_left(i);
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mat.set_left(i, std::max(left_acc_set, old));
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}
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for (unsigned i = 0; i < left_num_sets_; ++i)
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{
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auto old = get_right(i);
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mat.set_right(i, std::max(right_acc_set, old));
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}
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return mat;
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}
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void clean_here()
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{
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auto mat = state_history(*this);
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for (unsigned l = 0; l < right_num_sets_; ++l)
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{
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set_left(l, 0);
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for (unsigned k = 0; k < left_num_sets_; ++k)
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{
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if (mat.get_right(k) < l)
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set_left(l, std::min(mat.get_left(l), k));
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else
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break;
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}
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}
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for (unsigned k = 0; k < left_num_sets_; ++k)
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{
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set_right(k, 0);
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for (unsigned l = 0; l < right_num_sets_; ++l)
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{
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if (mat.get_left(l) < k)
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set_right(k, std::min(mat.get_right(k), l));
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else
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break;
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}
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}
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}
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private:
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const unsigned left_num_sets_;
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const unsigned right_num_sets_;
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value_t get(value_t index, bool first) const
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{
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return at(index + (first ? 0 : right_num_sets_));
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}
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void set(value_t index, bool first, value_t val)
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{
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at(index + (first ? 0 : right_num_sets_)) = val;
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}
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};
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struct state_history_hash
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{
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size_t
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operator()(const state_history& mat) const noexcept
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{
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unsigned result = 0;
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for (unsigned i = 0; i < mat.get_left_num_sets(); ++i)
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result = wang32_hash(result ^ wang32_hash(mat.get_right(i)));
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for (unsigned i = 0; i < mat.get_right_num_sets(); ++i)
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result = wang32_hash(result ^ wang32_hash(mat.get_left(i)));
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return result;
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}
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};
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using sh_label_t = unsigned;
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class state_history_set
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{
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private:
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using value_t = state_history::value_t;
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public:
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sh_label_t
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push_state_history(state_history sh)
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{
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auto p = sh2l_.emplace(sh, 0);
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if (p.second)
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{
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l2sh_.push_back(p.first);
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p.first->second = l2sh_.size() - 1;
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}
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return p.first->second;
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}
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std::pair<sh_label_t, value_t>
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push_state_history(sh_label_t label, value_t left_acc_set,
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value_t right_acc_set, bool and_cond)
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{
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state_history new_sh = l2sh_[label]->first;
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auto succ = new_sh.make_succ(left_acc_set, right_acc_set);
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auto max_acc_set = succ.get_max_acc_set(and_cond);
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succ.clean_here();
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return std::make_pair(push_state_history(succ), max_acc_set);
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}
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std::pair<sh_label_t, value_t>
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get_succ(sh_label_t current_sh, value_t left_acc_set,
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value_t right_acc_set, bool and_cond)
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{
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auto f_args = std::make_tuple(current_sh, left_acc_set, right_acc_set);
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auto p = succ_.emplace(f_args, std::make_pair(0, 0));
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if (p.second)
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{
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p.first->second =
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push_state_history(current_sh, left_acc_set,
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right_acc_set, and_cond);
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}
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return p.first->second;
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}
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private:
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using sh_dict_t = std::unordered_map<const state_history,
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value_t,
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state_history_hash>;
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sh_dict_t sh2l_;
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struct sh_succ_hash
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{
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size_t
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operator()(std::tuple<sh_label_t, value_t, value_t> x) const noexcept
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{
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return wang32_hash(std::get<0>(x) ^ wang32_hash(std::get<1>(x)
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^ wang32_hash(std::get<2>(x))));
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}
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};
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std::unordered_map<std::tuple<sh_label_t, value_t, value_t>,
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std::pair<sh_label_t, value_t>,
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sh_succ_hash> succ_;
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std::vector<sh_dict_t::const_iterator> l2sh_;
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};
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using product_state_t = std::tuple<unsigned, unsigned, sh_label_t>;
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struct product_state_hash
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{
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size_t
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operator()(product_state_t s) const noexcept
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{
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return wang32_hash(std::get<0>(s) ^ wang32_hash(std::get<1>(s)
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^ wang32_hash(std::get<2>(s))));
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}
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};
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twa_graph_ptr
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parity_product_aux(const const_twa_graph_ptr& first,
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const const_twa_graph_ptr& second,
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bool and_cond)
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{
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auto left = change_parity(first, parity_kind_max, parity_style_even);
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auto right = change_parity(second, parity_kind_max, parity_style_even);
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if (!and_cond)
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{
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complete_here(left);
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complete_here(right);
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}
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cleanup_parity_here(left, true);
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cleanup_parity_here(right, true);
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colorize_parity_here(left, true);
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colorize_parity_here(right, true);
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std::unordered_map<product_state_t, unsigned, product_state_hash> s2n;
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state_history_set sh_set;
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std::queue<std::pair<product_state_t, unsigned>> todo;
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auto res = make_twa_graph(left->get_dict());
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res->copy_ap_of(left);
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res->copy_ap_of(right);
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unsigned left_num_sets = left->num_sets();
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unsigned right_num_sets = right->num_sets();
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unsigned z_size = left_num_sets + right_num_sets - 1;
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auto z = acc_cond::acc_code::parity(true, !and_cond, z_size);
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res->set_acceptance(z_size, z);
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auto v = new product_states;
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res->set_named_prop("product-states", v);
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auto new_state =
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[&](const sh_label_t sh_label,
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unsigned left_state, unsigned right_state,
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unsigned left_acc_set, unsigned right_acc_set)
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-> std::pair<unsigned, unsigned>
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{
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auto succ = sh_set.get_succ(sh_label, left_acc_set, right_acc_set,
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and_cond);
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product_state_t x(left_state, right_state, succ.first);
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auto p = s2n.emplace(x, 0);
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if (p.second) // This is a new state
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{
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auto new_state = res->new_state();
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p.first->second = new_state;
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v->push_back(std::make_pair(left_state, right_state));
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todo.emplace(x, new_state);
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}
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return std::make_pair(p.first->second, succ.second);
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};
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state_history init_state_history(left_num_sets, right_num_sets);
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auto init_sh_label = sh_set.push_state_history(init_state_history);
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product_state_t init_state(left->get_init_state_number(),
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right->get_init_state_number(), init_sh_label);
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auto init_state_index = res->new_state();
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s2n.emplace(init_state, init_state_index);
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todo.emplace(init_state, init_state_index);
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res->set_init_state(init_state_index);
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while (!todo.empty())
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{
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auto& top = todo.front();
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for (auto& l: left->out(std::get<0>(top.first)))
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for (auto& r: right->out(std::get<1>(top.first)))
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{
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auto cond = l.cond & r.cond;
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if (cond == bddfalse)
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continue;
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auto left_acc = l.acc.max_set() - 1;
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auto right_acc = r.acc.max_set() - 1;
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auto dst = new_state(std::get<2>(top.first), l.dst, r.dst,
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left_acc, right_acc);
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auto acc = acc_cond::mark_t{dst.second};
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res->new_edge(top.second, dst.first, cond, acc);
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}
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todo.pop();
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}
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// The product of two non-deterministic automata could be
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// deterministic. likewise for non-complete automata.
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if (left->prop_universal() && right->prop_universal())
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res->prop_universal(true);
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if (left->prop_complete() && right->prop_complete())
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res->prop_complete(true);
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if (left->prop_stutter_invariant() && right->prop_stutter_invariant())
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res->prop_stutter_invariant(true);
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if (left->prop_inherently_weak() && right->prop_inherently_weak())
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res->prop_inherently_weak(true);
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if (left->prop_weak() && right->prop_weak())
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res->prop_weak(true);
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if (left->prop_terminal() && right->prop_terminal())
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res->prop_terminal(true);
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res->prop_state_acc(left->prop_state_acc() && right->prop_state_acc());
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return res;
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}
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}
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twa_graph_ptr
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parity_product(const const_twa_graph_ptr& left,
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const const_twa_graph_ptr& right)
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{
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if (left->get_dict() != right->get_dict())
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throw std::runtime_error("parity_product: left and right automata "
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"should share their bdd_dict");
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if (!(left->is_existential() && right->is_existential()))
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throw std::runtime_error("parity_product() does not support alternating "
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"automata");
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return parity_product_aux(left, right, true);
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}
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twa_graph_ptr
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parity_product_or(const const_twa_graph_ptr& left,
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const const_twa_graph_ptr& right)
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{
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if (left->get_dict() != right->get_dict())
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throw std::runtime_error("parity_product_or: left and right automata "
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"should share their bdd_dict");
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if (!(left->is_existential() && right->is_existential()))
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throw std::runtime_error("parity_product_or() does not support "
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"alternating automata");
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return parity_product_aux(left, right, false);
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}
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}
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@ -133,39 +133,4 @@ namespace spot
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SPOT_API twa_graph_ptr
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colorize_parity_here(twa_graph_ptr aut, bool keep_style = false);
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/// @}
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/// \brief Construct a product performing the intersection of two automata
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/// with parity acceptance and keeping their parity acceptance
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///
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/// This is based on an algorithm introduced by Olivier Carton (Theoretical
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/// Computer Science 161, 1-2 (1996)). The output is a parity max even
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/// automaton. The inputs must be automata with a parity acceptance, otherwise
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/// an invalid_argument exception is thrown.
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///
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/// \param left the first automaton
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///
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/// \param right the second automaton
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///
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/// \result the product, which is a parity automaton
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SPOT_API twa_graph_ptr
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parity_product(const const_twa_graph_ptr& left,
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const const_twa_graph_ptr& right);
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/// \brief Construct a product performing the union of two automata
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/// with parity acceptance and keeping their parity acceptance
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///
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/// This is based on an algorithm introduced by Olivier Carton (Theoretical
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/// Computer Science 161, 1-2 (1996)). The output is a parity max even
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/// automaton. The inputs must be automata with a parity acceptance, otherwise
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/// an invalid_argument exception is thrown.
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///
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/// \param left the first automaton
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///
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/// \param right the second automaton
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///
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/// \result the sum which is a parity automaton
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SPOT_API twa_graph_ptr
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parity_product_or(const const_twa_graph_ptr& left,
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const const_twa_graph_ptr& right);
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/// @}
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}
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@ -385,75 +385,5 @@ int main()
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}
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}
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std::random_shuffle(automata_tuples.begin(), automata_tuples.end());
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unsigned num_left = 15;
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unsigned num_right = 15;
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unsigned acc_index = 0;
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unsigned nb = 0;
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// Parity product and sum
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for (unsigned left_index = 0; left_index < num_left; ++left_index)
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{
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auto& aut_tuple_first = automata_tuples[left_index % num_automata];
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auto& left = aut_tuple_first.first;
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auto aut_num_sets_first = aut_tuple_first.second;
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while (std::get<3>(acceptance_sets[acc_index]) < aut_num_sets_first)
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acc_index = (acc_index + 1) % num_acceptance;
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auto acc_tuple_first = acceptance_sets[acc_index];
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acc_index = (acc_index + 1) % num_acceptance;
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auto acc_first = std::get<0>(acc_tuple_first);
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auto acc_num_sets_first = std::get<3>(acc_tuple_first);
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left->set_acceptance(acc_num_sets_first, acc_first);
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for (unsigned right_index = 0; right_index < num_right; ++right_index)
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{
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auto& aut_tuple_second =
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automata_tuples[(num_left + right_index) % num_automata];
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auto& right = aut_tuple_second.first;
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auto aut_num_sets_second = aut_tuple_second.second;
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while (std::get<3>(acceptance_sets[acc_index]) < aut_num_sets_second)
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acc_index = (acc_index + 1) % num_acceptance;
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auto acc_tuple_second = acceptance_sets[acc_index];
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acc_index = (acc_index + 1) % num_acceptance;
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auto acc_second = std::get<0>(acc_tuple_second);
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auto acc_num_sets_second = std::get<3>(acc_tuple_second);
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right->set_acceptance(acc_num_sets_second, acc_second);
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auto result_prod = spot::parity_product(left, right);
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auto ref_prod = spot::product(left, right);
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if (!are_equiv(result_prod, ref_prod))
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{
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std::cerr << nb << ": parity_product: Not equivalent.\n"
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<< "=====First Automaton=====\n";
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spot::print_hoa(std::cerr, left);
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std::cerr << "=====Second Automaton=====\n";
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spot::print_hoa(std::cerr, right);
|
||||
assert(false && "parity_product: Not equivalent.\n");
|
||||
}
|
||||
assert(is_colored_printerr(result_prod)
|
||||
&& "parity_product: not colored.");
|
||||
assert(is_right_parity(result_prod, spot::parity_kind_any,
|
||||
spot::parity_style_any,
|
||||
true, true, 2)
|
||||
&& "parity_product: not a parity acceptance condition");
|
||||
|
||||
auto result_sum = spot::parity_product_or(left, right);
|
||||
auto ref_sum = spot::product_or(left, right);
|
||||
if (!are_equiv(result_sum, ref_sum))
|
||||
{
|
||||
std::cerr << nb << ": parity_product_or: Not equivalent.\n"
|
||||
<< "=====First Automaton=====\n";
|
||||
spot::print_hoa(std::cerr, left);
|
||||
std::cerr << "=====Second Automaton=====\n";
|
||||
spot::print_hoa(std::cerr, right);
|
||||
assert(false && "parity_product_or: Not equivalent.\n");
|
||||
}
|
||||
assert(is_colored_printerr(result_sum)
|
||||
&& "parity_product_or: not colored.");
|
||||
assert(is_right_parity(result_sum, spot::parity_kind_any,
|
||||
spot::parity_style_any,
|
||||
true, true, 2)
|
||||
&& "parity_product_or: not a parity acceptance condition");
|
||||
++nb;
|
||||
}
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue