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prepare the mixed case
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
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@ -1289,44 +1289,53 @@ void lar_solver::get_infeasibility_explanation_for_inf_sign(
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}
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}
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// (x, y) != (x', y') => (x + delty*y) != (x' + delty*y')
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void lar_solver::get_model(std::unordered_map<var_index, mpq> & variable_values) const {
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lp_assert(m_mpq_lar_core_solver.m_r_solver.calc_current_x_is_feasible_include_non_basis());
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variable_values.clear();
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mpq delta = mpq(1, 2); // start from 0.5 to have less clashes
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mpq delta = m_mpq_lar_core_solver.find_delta_for_strict_bounds(mpq(1, 2)); // start from 0.5 to have less clashes
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unsigned j;
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unsigned n = m_mpq_lar_core_solver.m_r_x.size();
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std::unordered_set<impq> set_of_different_pairs;
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std::unordered_set<mpq> set_of_different_singles;
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do {
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// different pairs have to produce different singleton values
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std::unordered_set<impq> set_of_different_pairs;
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std::unordered_set<mpq> set_of_different_singles;
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delta = m_mpq_lar_core_solver.find_delta_for_strict_bounds(delta);
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set_of_different_pairs.clear();
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set_of_different_singles.clear();
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for (j = 0; j < n; j++ ) {
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const numeric_pair<mpq> & rp = m_mpq_lar_core_solver.m_r_x[j];
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set_of_different_pairs.insert(rp);
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mpq x = rp.x + delta * rp.y;
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set_of_different_singles.insert(x);
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if (set_of_different_pairs.size()
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!= set_of_different_singles.size()) {
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if (set_of_different_pairs.size() != set_of_different_singles.size()) {
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delta /= mpq(2);
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break;
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}
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TRACE("get_model", tout << this->get_variable_name(j) << " := " << x << "\n";);
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if (!column_corresponds_to_term(j))
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variable_values[j] = x;
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variable_values[j] = x;
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}
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} while (j != n);
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TRACE("lar_solver_model", tout << "delta = " << delta << "\nmodel:\n";
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for (auto p : variable_values ) {
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tout << this->get_variable_name(p.first) << " = " << p.second << "\n";
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});
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}
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void lar_solver::get_model_do_not_care_about_diff_vars(std::unordered_map<var_index, mpq> & variable_values) const {
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mpq delta = mpq(1);
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delta = m_mpq_lar_core_solver.find_delta_for_strict_bounds(delta);
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mpq delta = m_mpq_lar_core_solver.find_delta_for_strict_bounds(mpq(1));
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for (unsigned i = 0; i < m_mpq_lar_core_solver.m_r_x.size(); i++ ) {
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const impq & rp = m_mpq_lar_core_solver.m_r_x[i];
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variable_values[i] = rp.x + delta * rp.y;
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}
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}
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void lar_solver::get_rid_of_inf_eps() {
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mpq delta = m_mpq_lar_core_solver.find_delta_for_strict_bounds(mpq(1));
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for (unsigned j = 0; j < number_of_vars(); j++) {
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auto & r = m_mpq_lar_core_solver.m_r_x[j];
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r = impq(r.x + delta * r.y);
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}
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}
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void lar_solver::set_variable_name(var_index vi, std::string name) {
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m_var_register.set_name(vi, name);
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}
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@ -45,9 +45,10 @@ Revision History:
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namespace lp {
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typedef unsigned lpvar;
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const lpvar null_lpvar = UINT_MAX;
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class lar_solver : public column_namer {
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typedef unsigned lpvar;
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struct term_hasher {
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std::size_t operator()(const lar_term &t) const
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{
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@ -483,6 +484,8 @@ public:
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void get_model(std::unordered_map<var_index, mpq> & variable_values) const;
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void get_rid_of_inf_eps();
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void get_model_do_not_care_about_diff_vars(std::unordered_map<var_index, mpq> & variable_values) const;
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std::string get_variable_name(var_index vi) const;
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@ -164,7 +164,8 @@ rational core::product_value(const unsigned_vector & m) const {
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// return true iff the monic value is equal to the product of the values of the factors
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bool core::check_monic(const monic& m) const {
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SASSERT((!m_lar_solver.column_is_int(m.var())) || m_lar_solver.get_column_value(m.var()).is_int());
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SASSERT((!m_lar_solver.column_is_int(m.var())) || m_lar_solver.get_column_value(m.var()).is_int());
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TRACE("nla_solver", print_monic_with_vars(m, tout) << '\n';);
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return product_value(m.vars()) == m_lar_solver.get_column_value_rational(m.var());
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}
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@ -1122,13 +1123,9 @@ std::unordered_map<unsigned, unsigned_vector> core::get_rm_by_arity() {
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return m;
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}
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bool core::rm_check(const monic& rm) const {
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return check_monic(m_emons[rm.var()]);
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}
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/**
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\brief Add |v| ~ |bound|
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@ -1330,6 +1327,7 @@ bool core::elists_are_consistent(bool check_in_model) const {
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lbool core::check(vector<lemma>& l_vec) {
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lp_settings().stats().m_nla_calls++;
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TRACE("nla_solver", tout << "calls = " << lp_settings().stats().m_nla_calls << "\n";);
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m_lar_solver.get_rid_of_inf_eps();
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m_lemma_vec = &l_vec;
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if (!(m_lar_solver.get_status() == lp::lp_status::OPTIMAL || m_lar_solver.get_status() == lp::lp_status::FEASIBLE )) {
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TRACE("nla_solver", tout << "unknown because of the m_lar_solver.m_status = " << m_lar_solver.get_status() << "\n";);
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@ -752,7 +752,7 @@ class theory_lra::imp {
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lpvar register_theory_var_in_lar_solver(theory_var v) {
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lpvar lpv = lp().external_to_local(v);
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if (lpv + 1)
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if (lpv != lp::null_lpvar)
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return lpv;
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return lp().add_var(v, is_int(v));
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}
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@ -3717,12 +3717,17 @@ public:
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}
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void display(std::ostream & out) const {
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void display(std::ostream & out) {
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if (m_solver) {
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lp().print_constraints(out);
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lp().print_terms(out);
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// auto pp = lp ::core_solver_pretty_printer<lp::mpq, lp::impq>(lp().m_mpq_lar_core_solver.m_r_solver, out);
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// pp.print();
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// the tableau
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auto pp = lp ::core_solver_pretty_printer<lp::mpq, lp::impq>(
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lp().m_mpq_lar_core_solver.m_r_solver, out);
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pp.print();
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for (unsigned j = 0; j < lp().number_of_vars(); j++) {
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lp().m_mpq_lar_core_solver.m_r_solver.print_column_info(j, out);
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}
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}
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unsigned nv = th.get_num_vars();
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for (unsigned v = 0; v < nv; ++v) {
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