mirror of
https://github.com/Z3Prover/z3
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fix build break (debug assertion) and isolate gomory functionality
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
parent
b253db2c0a
commit
894fb836e2
5 changed files with 208 additions and 139 deletions
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@ -20,16 +20,28 @@ Author:
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namespace nla {
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void core::run_grobner() {
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unsigned& quota = m_nla_settings.grobner_quota;
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grobner::grobner(core* c):
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common(c),
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m_pdd_manager(m_core.m_lar_solver.number_of_vars()),
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m_pdd_grobner(m_core.m_reslim, m_pdd_manager),
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m_lar_solver(m_core.m_lar_solver)
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{}
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lp::lp_settings& grobner::lp_settings() {
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return c().lp_settings();
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}
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void grobner::operator()() {
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unsigned& quota = c().m_nla_settings.grobner_quota;
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if (quota == 1) {
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return;
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}
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clear_and_resize_active_var_set();
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c().clear_and_resize_active_var_set();
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find_nl_cluster();
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lp_settings().stats().m_grobner_calls++;
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configure_grobner();
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c().lp_settings().stats().m_grobner_calls++;
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configure();
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m_pdd_grobner.saturate();
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bool conflict = false;
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unsigned n = m_pdd_grobner.number_of_conflicts_to_report();
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@ -47,6 +59,20 @@ namespace nla {
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return;
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}
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if (propagate_bounds())
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return;
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if (propagate_eqs())
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return;
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if (quota > 1)
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quota--;
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IF_VERBOSE(2, verbose_stream() << "grobner miss, quota " << quota << "\n");
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IF_VERBOSE(4, diagnose_pdd_miss(verbose_stream()));
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#if 0
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// diagnostics: did we miss something
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vector<dd::pdd> eqs;
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@ -81,29 +107,33 @@ namespace nla {
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return;
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#endif
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if (quota > 1)
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quota--;
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IF_VERBOSE(2, verbose_stream() << "grobner miss, quota " << quota << "\n");
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IF_VERBOSE(4, diagnose_pdd_miss(verbose_stream()));
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}
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void core::configure_grobner() {
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bool grobner::propagate_bounds() {
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return false;
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}
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bool grobner::propagate_eqs() {
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return false;
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}
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void grobner::configure() {
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m_pdd_grobner.reset();
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try {
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set_level2var_for_grobner();
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set_level2var();
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TRACE("grobner",
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tout << "base vars: ";
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for (lpvar j : active_var_set())
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if (m_lar_solver.is_base(j))
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for (lpvar j : c().active_var_set())
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if (c().m_lar_solver.is_base(j))
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tout << "j" << j << " ";
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tout << "\n");
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for (lpvar j : active_var_set()) {
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if (m_lar_solver.is_base(j))
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add_row_to_grobner(m_lar_solver.basic2row(j));
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for (lpvar j : c().active_var_set()) {
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if (c().m_lar_solver.is_base(j))
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add_row(c().m_lar_solver.basic2row(j));
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if (is_monic_var(j) && var_is_fixed(j))
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add_fixed_monic_to_grobner(j);
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if (c().is_monic_var(j) && c().var_is_fixed(j))
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add_fixed_monic(j);
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}
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}
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catch (...) {
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@ -127,17 +157,17 @@ namespace nla {
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struct dd::solver::config cfg;
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cfg.m_max_steps = m_pdd_grobner.equations().size();
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cfg.m_max_simplified = m_nla_settings.grobner_max_simplified;
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cfg.m_eqs_growth = m_nla_settings.grobner_eqs_growth;
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cfg.m_expr_size_growth = m_nla_settings.grobner_expr_size_growth;
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cfg.m_expr_degree_growth = m_nla_settings.grobner_expr_degree_growth;
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cfg.m_number_of_conflicts_to_report = m_nla_settings.grobner_number_of_conflicts_to_report;
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cfg.m_max_simplified = c().m_nla_settings.grobner_max_simplified;
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cfg.m_eqs_growth = c().m_nla_settings.grobner_eqs_growth;
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cfg.m_expr_size_growth = c().m_nla_settings.grobner_expr_size_growth;
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cfg.m_expr_degree_growth = c().m_nla_settings.grobner_expr_degree_growth;
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cfg.m_number_of_conflicts_to_report = c().m_nla_settings.grobner_number_of_conflicts_to_report;
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m_pdd_grobner.set(cfg);
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m_pdd_grobner.adjust_cfg();
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m_pdd_manager.set_max_num_nodes(10000); // or something proportional to the number of initial nodes.
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}
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std::ostream& core::diagnose_pdd_miss(std::ostream& out) {
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std::ostream& grobner::diagnose_pdd_miss(std::ostream& out) {
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// m_pdd_grobner.display(out);
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@ -163,12 +193,12 @@ namespace nla {
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return out;
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}
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bool core::check_pdd_eq(const dd::solver::equation* e) {
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auto& di = m_intervals.get_dep_intervals();
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bool grobner::check_pdd_eq(const dd::solver::equation* e) {
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auto& di = c().m_intervals.get_dep_intervals();
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dd::pdd_interval eval(di);
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eval.var2interval() = [this](lpvar j, bool deps, scoped_dep_interval& a) {
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if (deps) m_intervals.set_var_interval<dd::w_dep::with_deps>(j, a);
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else m_intervals.set_var_interval<dd::w_dep::without_deps>(j, a);
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if (deps) c().m_intervals.set_var_interval<dd::w_dep::with_deps>(j, a);
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else c().m_intervals.set_var_interval<dd::w_dep::without_deps>(j, a);
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};
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scoped_dep_interval i(di), i_wd(di);
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eval.get_interval<dd::w_dep::without_deps>(e->poly(), i);
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@ -178,8 +208,8 @@ namespace nla {
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tout << "separated from 0: " << di.separated_from_zero(i) << "\n";
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for (auto j : e->poly().free_vars()) {
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scoped_dep_interval a(di);
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m_intervals.set_var_interval<dd::w_dep::without_deps>(j, a);
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m_intervals.display(tout << "j" << j << " ", a); tout << " ";
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c().m_intervals.set_var_interval<dd::w_dep::without_deps>(j, a);
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c().m_intervals.display(tout << "j" << j << " ", a); tout << " ";
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}
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tout << "\n");
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@ -187,7 +217,7 @@ namespace nla {
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}
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eval.get_interval<dd::w_dep::with_deps>(e->poly(), i_wd);
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std::function<void (const lp::explanation&)> f = [this](const lp::explanation& e) {
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new_lemma lemma(*this, "pdd");
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new_lemma lemma(m_core, "pdd");
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lemma &= e;
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};
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if (di.check_interval_for_conflict_on_zero(i_wd, e->dep(), f)) {
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@ -201,18 +231,18 @@ namespace nla {
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}
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}
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void core::add_var_and_its_factors_to_q_and_collect_new_rows(lpvar j, svector<lpvar> & q) {
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if (active_var_set_contains(j))
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void grobner::add_var_and_its_factors_to_q_and_collect_new_rows(lpvar j, svector<lpvar> & q) {
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if (c().active_var_set_contains(j))
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return;
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insert_to_active_var_set(j);
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if (is_monic_var(j)) {
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const monic& m = emons()[j];
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for (auto fcn : factorization_factory_imp(m, *this))
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c().insert_to_active_var_set(j);
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if (c().is_monic_var(j)) {
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const monic& m = c().emons()[j];
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for (auto fcn : factorization_factory_imp(m, m_core))
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for (const factor& fc: fcn)
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q.push_back(var(fc));
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}
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if (var_is_fixed(j))
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if (c().var_is_fixed(j))
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return;
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const auto& matrix = m_lar_solver.A_r();
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for (auto & s : matrix.m_columns[j]) {
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unsigned k = m_lar_solver.get_base_column_in_row(row);
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if (m_lar_solver.column_is_free(k) && k != j)
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continue;
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CTRACE("grobner", matrix.m_rows[row].size() > m_nla_settings.grobner_row_length_limit,
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CTRACE("grobner", matrix.m_rows[row].size() > c().m_nla_settings.grobner_row_length_limit,
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tout << "ignore the row " << row << " with the size " << matrix.m_rows[row].size() << "\n";);
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if (matrix.m_rows[row].size() > m_nla_settings.grobner_row_length_limit)
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if (matrix.m_rows[row].size() > c().m_nla_settings.grobner_row_length_limit)
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continue;
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for (auto& rc : matrix.m_rows[row])
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add_var_and_its_factors_to_q_and_collect_new_rows(rc.var(), q);
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}
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const rational& core::val_of_fixed_var_with_deps(lpvar j, u_dependency*& dep) {
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const rational& grobner::val_of_fixed_var_with_deps(lpvar j, u_dependency*& dep) {
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unsigned lc, uc;
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m_lar_solver.get_bound_constraint_witnesses_for_column(j, lc, uc);
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dep = m_intervals.mk_join(dep, m_intervals.mk_leaf(lc));
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dep = m_intervals.mk_join(dep, m_intervals.mk_leaf(uc));
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dep = c().m_intervals.mk_join(dep, c().m_intervals.mk_leaf(lc));
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dep = c().m_intervals.mk_join(dep, c().m_intervals.mk_leaf(uc));
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return m_lar_solver.column_lower_bound(j).x;
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}
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dd::pdd core::pdd_expr(const rational& c, lpvar j, u_dependency*& dep) {
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dd::pdd r = m_pdd_manager.mk_val(c);
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dd::pdd grobner::pdd_expr(const rational& coeff, lpvar j, u_dependency*& dep) {
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dd::pdd r = m_pdd_manager.mk_val(coeff);
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sbuffer<lpvar> vars;
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vars.push_back(j);
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u_dependency* zero_dep = dep;
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while (!vars.empty()) {
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j = vars.back();
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vars.pop_back();
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if (m_nla_settings.grobner_subs_fixed > 0 && var_is_fixed_to_zero(j)) {
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if (c().m_nla_settings.grobner_subs_fixed > 0 && c().var_is_fixed_to_zero(j)) {
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r = m_pdd_manager.mk_val(val_of_fixed_var_with_deps(j, zero_dep));
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dep = zero_dep;
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return r;
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}
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if (m_nla_settings.grobner_subs_fixed == 1 && var_is_fixed(j))
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if (c().m_nla_settings.grobner_subs_fixed == 1 && c().var_is_fixed(j))
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r *= val_of_fixed_var_with_deps(j, dep);
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else if (!is_monic_var(j))
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else if (!c().is_monic_var(j))
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r *= m_pdd_manager.mk_var(j);
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else
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for (lpvar k : emons()[j].vars())
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for (lpvar k : c().emons()[j].vars())
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vars.push_back(k);
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}
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return r;
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we prefer to solve z == -x - y instead of x == -z - y
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because the solution -z - y has neither an upper, nor a lower bound.
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*/
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bool core::is_solved(dd::pdd const& p, unsigned& v, dd::pdd& r) {
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bool grobner::is_solved(dd::pdd const& p, unsigned& v, dd::pdd& r) {
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if (!p.is_linear())
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return false;
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r = p;
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/**
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\brief add an equality to grobner solver, convert it to solved form if available.
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*/
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void core::add_eq_to_grobner(dd::pdd& p, u_dependency* dep) {
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void grobner::add_eq(dd::pdd& p, u_dependency* dep) {
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unsigned v;
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dd::pdd q(m_pdd_manager);
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m_pdd_grobner.simplify(p, dep);
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m_pdd_grobner.add(p, dep);
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}
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void core::add_fixed_monic_to_grobner(unsigned j) {
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void grobner::add_fixed_monic(unsigned j) {
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u_dependency* dep = nullptr;
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dd::pdd r = m_pdd_manager.mk_val(rational(1));
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for (lpvar k : emons()[j].vars())
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for (lpvar k : c().emons()[j].vars())
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r *= pdd_expr(rational::one(), k, dep);
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r -= val_of_fixed_var_with_deps(j, dep);
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add_eq_to_grobner(r, dep);
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add_eq(r, dep);
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}
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void core::add_row_to_grobner(const vector<lp::row_cell<rational>> & row) {
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void grobner::add_row(const vector<lp::row_cell<rational>> & row) {
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u_dependency *dep = nullptr;
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rational val;
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dd::pdd sum = m_pdd_manager.mk_val(rational(0));
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for (const auto &p : row)
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sum += pdd_expr(p.coeff(), p.var(), dep);
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TRACE("grobner", print_row(row, tout) << " " << sum << "\n");
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add_eq_to_grobner(sum, dep);
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TRACE("grobner", c().print_row(row, tout) << " " << sum << "\n");
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add_eq(sum, dep);
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}
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void core::find_nl_cluster() {
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void grobner::find_nl_cluster() {
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prepare_rows_and_active_vars();
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svector<lpvar> q;
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TRACE("grobner", for (lpvar j : m_to_refine) print_monic(emons()[j], tout) << "\n";);
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TRACE("grobner", for (lpvar j : c().m_to_refine) print_monic(c().emons()[j], tout) << "\n";);
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for (lpvar j : m_to_refine)
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for (lpvar j : c().m_to_refine)
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q.push_back(j);
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while (!q.empty()) {
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add_var_and_its_factors_to_q_and_collect_new_rows(j, q);
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}
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TRACE("grobner", tout << "vars in cluster: ";
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for (lpvar j : active_var_set()) tout << "j" << j << " "; tout << "\n";
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for (lpvar j : c().active_var_set()) tout << "j" << j << " "; tout << "\n";
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display_matrix_of_m_rows(tout);
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);
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}
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void core::prepare_rows_and_active_vars() {
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void grobner::prepare_rows_and_active_vars() {
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m_rows.clear();
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m_rows.resize(m_lar_solver.row_count());
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clear_and_resize_active_var_set();
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c().clear_and_resize_active_var_set();
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}
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void core::display_matrix_of_m_rows(std::ostream & out) const {
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void grobner::display_matrix_of_m_rows(std::ostream & out) const {
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const auto& matrix = m_lar_solver.A_r();
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out << m_rows.size() << " rows" << "\n";
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out << "the matrix\n";
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for (const auto & r : matrix.m_rows)
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print_row(r, out) << std::endl;
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c().print_row(r, out) << std::endl;
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}
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void grobner::set_level2var() {
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unsigned n = m_lar_solver.column_count();
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unsigned_vector sorted_vars(n), weighted_vars(n);
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for (unsigned j = 0; j < n; j++) {
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sorted_vars[j] = j;
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weighted_vars[j] = c().get_var_weight(j);
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}
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#if 1
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// potential update to weights
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for (unsigned j = 0; j < n; j++) {
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if (c().is_monic_var(j) && c().m_to_refine.contains(j)) {
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for (lpvar k : c().m_emons[j].vars()) {
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weighted_vars[k] += 6;
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}
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}
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}
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#endif
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std::sort(sorted_vars.begin(), sorted_vars.end(), [&](unsigned a, unsigned b) {
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unsigned wa = weighted_vars[a];
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unsigned wb = weighted_vars[b];
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return wa < wb || (wa == wb && a < b); });
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unsigned_vector l2v(n);
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for (unsigned j = 0; j < n; j++)
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l2v[j] = sorted_vars[j];
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m_pdd_manager.reset(l2v);
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TRACE("grobner",
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for (auto v : sorted_vars)
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tout << "j" << v << " w:" << weighted_vars[v] << " ";
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tout << "\n");
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}
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}
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