mirror of
https://github.com/Z3Prover/z3
synced 2025-04-22 16:45:31 +00:00
integrating new integer primal loop
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
parent
4bb5302def
commit
e24db56650
17 changed files with 183 additions and 66 deletions
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@ -30,6 +30,7 @@ Notes:
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#include "simplify_tactic.h"
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#include "goal2sat.h"
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#include "ast_pp.h"
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#include "model_smt2_pp.h"
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// incremental SAT solver.
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class inc_sat_solver : public solver {
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@ -396,14 +397,15 @@ private:
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(*m_mc)(m_model);
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}
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SASSERT(m_model);
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// IF_VERBOSE(0, model_smt2_pp(verbose_stream(), m, *(m_model.get()), 0););
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DEBUG_CODE(
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for (unsigned i = 0; i < m_fmls.size(); ++i) {
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expr_ref tmp(m);
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VERIFY(m_model->eval(m_fmls[i].get(), tmp));
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CTRACE("opt", !m.is_true(tmp),
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tout << "Evaluation failed: " << mk_pp(m_fmls[i].get(), m) << "\n";);
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tout << "Evaluation failed: " << mk_pp(m_fmls[i].get(), m)
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<< " to " << tmp << "\n";
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model_smt2_pp(tout, m, *(m_model.get()), 0););
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SASSERT(m.is_true(tmp));
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});
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}
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@ -251,11 +251,11 @@ namespace opt {
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}
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void maxsmt::update_lower(rational const& r) {
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if (m_lower > r) m_lower = r;
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m_lower = r;
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}
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void maxsmt::update_upper(rational const& r) {
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if (m_upper < r) m_upper = r;
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m_upper = r;
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}
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void maxsmt::get_model(model_ref& mdl) {
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@ -247,8 +247,7 @@ namespace opt {
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mdl = m_model;
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}
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void context::get_model(model_ref& mdl) {
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mdl = m_model;
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void context::fix_model(model_ref& mdl) {
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if (mdl) {
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if (m_model_converter) {
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(*m_model_converter)(mdl, 0);
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@ -257,6 +256,16 @@ namespace opt {
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}
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}
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void context::set_model(model_ref& mdl) {
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m_model = mdl;
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fix_model(mdl);
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}
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void context::get_model(model_ref& mdl) {
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mdl = m_model;
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fix_model(mdl);
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}
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lbool context::execute_min_max(unsigned index, bool committed, bool scoped, bool is_max) {
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if (scoped) get_solver().push();
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lbool result = m_optsmt.lex(index, is_max);
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@ -384,6 +393,9 @@ namespace opt {
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break;
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}
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}
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TRACE("opt",
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model_smt2_pp(tout << "Model:\n", m, *mdl, 0);
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mdl->eval(term, val); tout << term << " " << val << "\n";);
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VERIFY(mdl->eval(term, val) && is_numeral(val, r));
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}
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@ -914,9 +926,12 @@ namespace opt {
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objective const& obj = m_objectives[i];
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rational r;
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switch(obj.m_type) {
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case O_MINIMIZE:
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if (m_model->eval(obj.m_term, val) && is_numeral(val, r)) {
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case O_MINIMIZE: {
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bool evaluated = m_model->eval(obj.m_term, val);
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TRACE("opt", tout << obj.m_term << " " << val << " " << evaluated << " " << is_numeral(val, r) << "\n";);
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if (evaluated && is_numeral(val, r)) {
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inf_eps val = inf_eps(obj.m_adjust_value(r));
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TRACE("opt", tout << "adjusted value: " << val << "\n";);
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if (is_lower) {
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m_optsmt.update_lower(obj.m_index, val);
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}
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@ -925,9 +940,13 @@ namespace opt {
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}
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}
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break;
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case O_MAXIMIZE:
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if (m_model->eval(obj.m_term, val) && is_numeral(val, r)) {
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}
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case O_MAXIMIZE: {
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bool evaluated = m_model->eval(obj.m_term, val);
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TRACE("opt", tout << obj.m_term << " " << val << "\n";);
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if (evaluated && is_numeral(val, r)) {
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inf_eps val = inf_eps(obj.m_adjust_value(r));
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TRACE("opt", tout << "adjusted value: " << val << "\n";);
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if (is_lower) {
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m_optsmt.update_lower(obj.m_index, val);
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}
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@ -936,10 +955,13 @@ namespace opt {
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}
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}
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break;
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}
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case O_MAXSMT: {
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bool ok = true;
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for (unsigned j = 0; ok && j < obj.m_terms.size(); ++j) {
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if (m_model->eval(obj.m_terms[j], val)) {
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bool evaluated = m_model->eval(obj.m_terms[j], val);
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TRACE("opt", tout << mk_pp(obj.m_terms[j], m) << " " << val << "\n";);
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if (evaluated) {
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if (!m.is_true(val)) {
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r += obj.m_weights[j];
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}
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@ -949,11 +971,14 @@ namespace opt {
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}
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}
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if (ok) {
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maxsmt& ms = *m_maxsmts.find(obj.m_id);
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if (is_lower) {
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m_maxsmts.find(obj.m_id)->update_upper(r);
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ms.update_upper(r);
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TRACE("opt", tout << r << " " << ms.get_upper() << "\n";);
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}
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else {
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m_maxsmts.find(obj.m_id)->update_lower(r);
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ms.update_lower(r);
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TRACE("opt", tout << r << " " << ms.get_lower() << "\n";);
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}
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}
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break;
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@ -147,6 +147,8 @@ namespace opt {
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virtual void set_hard_constraints(ptr_vector<expr> & hard);
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virtual lbool optimize();
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virtual void get_model(model_ref& m);
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virtual void set_model(model_ref& m);
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virtual void fix_model(model_ref& m);
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virtual void collect_statistics(statistics& stats) const;
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virtual proof* get_proof() { return 0; }
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virtual void get_labels(svector<symbol> & r) {}
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@ -38,7 +38,10 @@ namespace opt {
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return l_undef;
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}
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m_solver->get_model(m_model);
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IF_VERBOSE(1, model_smt2_pp(verbose_stream() << "new model:\n", m, *m_model, 0););
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IF_VERBOSE(1,
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model_ref mdl(m_model);
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cb.fix_model(mdl);
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model_smt2_pp(verbose_stream() << "new model:\n", m, *mdl, 0););
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// TBD: we can also use local search to tune solution coordinate-wise.
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mk_dominates();
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is_sat = m_solver->check_sat(0, 0);
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@ -65,6 +68,7 @@ namespace opt {
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fmls.push_back(m.mk_or(gt.size(), gt.c_ptr()));
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fml = m.mk_and(fmls.size(), fmls.c_ptr());
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IF_VERBOSE(10, verbose_stream() << "dominates: " << fml << "\n";);
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TRACE("opt", tout << fml << "\n";);
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m_solver->assert_expr(fml);
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}
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@ -77,6 +81,7 @@ namespace opt {
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}
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fml = m.mk_not(m.mk_and(le.size(), le.c_ptr()));
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IF_VERBOSE(10, verbose_stream() << "not dominated by: " << fml << "\n";);
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TRACE("opt", tout << fml << "\n";);
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m_solver->assert_expr(fml);
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}
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@ -31,6 +31,8 @@ namespace opt {
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virtual expr_ref mk_gt(unsigned i, model_ref& model) = 0;
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virtual expr_ref mk_ge(unsigned i, model_ref& model) = 0;
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virtual expr_ref mk_le(unsigned i, model_ref& model) = 0;
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virtual void set_model(model_ref& m) = 0;
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virtual void fix_model(model_ref& m) = 0;
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};
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class pareto_base {
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protected:
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@ -194,6 +194,7 @@ namespace opt {
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inf_eps val = get_optimizer().maximize(v, blocker, has_shared);
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inf_eps val2;
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m_valid_objectives[i] = true;
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TRACE("opt", tout << (has_shared?"has shared":"non-shared") << "\n";);
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if (m_context.get_context().update_model(has_shared)) {
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if (has_shared) {
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val2 = current_objective_value(i);
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@ -302,20 +303,31 @@ namespace opt {
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if (typeid(smt::theory_inf_arith) == typeid(opt)) {
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smt::theory_inf_arith& th = dynamic_cast<smt::theory_inf_arith&>(opt);
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return expr_ref(th.mk_ge(m_fm, v, val), m);
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return th.mk_ge(m_fm, v, val);
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}
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if (typeid(smt::theory_mi_arith) == typeid(opt)) {
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smt::theory_mi_arith& th = dynamic_cast<smt::theory_mi_arith&>(opt);
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SASSERT(val.is_finite());
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return expr_ref(th.mk_ge(m_fm, v, val.get_numeral()), m);
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return th.mk_ge(m_fm, v, val.get_numeral());
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}
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if (typeid(smt::theory_i_arith) == typeid(opt)) {
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SASSERT(val.is_finite());
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SASSERT(val.get_infinitesimal().is_zero());
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smt::theory_i_arith& th = dynamic_cast<smt::theory_i_arith&>(opt);
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return expr_ref(th.mk_ge(m_fm, v, val.get_rational()), m);
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return th.mk_ge(m_fm, v, val.get_rational());
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}
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if (typeid(smt::theory_idl) == typeid(opt)) {
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smt::theory_idl& th = dynamic_cast<smt::theory_idl&>(opt);
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return th.mk_ge(m_fm, v, val.get_rational());
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}
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if (typeid(smt::theory_rdl) == typeid(opt) &&
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val.get_infinitesimal().is_zero()) {
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smt::theory_rdl& th = dynamic_cast<smt::theory_rdl&>(opt);
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return th.mk_ge(m_fm, v, val.get_rational());
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}
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// difference logic?
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}
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void optsmt::update_lower(unsigned idx, inf_eps const& v) {
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TRACE("opt", tout << "v" << idx << " >= " << v << "\n";);
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m_lower_fmls[idx] = m_s->mk_ge(idx, v);
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m_lower[idx] = v;
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}
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void optsmt::update_upper(unsigned idx, inf_eps const& v) {
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TRACE("opt", tout << "v" << idx << " <= " << v << "\n";);
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m_upper[idx] = v;
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}
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lbool is_sat = l_true;
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expr_ref block(m), tmp(m);
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for (unsigned i = 0; i < obj_index; ++i) {
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commit_assignment(i);
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}
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while (is_sat == l_true && !m_cancel) {
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is_sat = m_s->check_sat(0, 0);
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if (is_sat != l_true) break;
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@ -1193,6 +1193,10 @@ public:
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return m_assignment[v];
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}
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void set_assignment(dl_var v, numeral const & n) {
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m_assignment[v] = n;
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}
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unsigned get_timestamp() const {
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return m_timestamp;
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}
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@ -3944,10 +3944,12 @@ namespace smt {
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if (refinalize) {
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fcs = final_check();
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}
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TRACE("opt", tout << (refinalize?"refinalize":"no-op") << " " << fcs << "\n";);
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if (fcs == FC_DONE) {
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mk_proto_model(l_true);
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m_model = m_proto_model->mk_model();
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}
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return fcs == FC_DONE;
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}
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@ -894,7 +894,7 @@ namespace smt {
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void init_gains(theory_var x, bool inc, inf_numeral& min_gain, inf_numeral& max_gain);
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bool update_gains(bool inc, theory_var x_i, numeral const& a_ij,
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inf_numeral& min_gain, inf_numeral& max_gain);
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bool move_to_bound_new(theory_var x_i, bool inc, bool& best_effort, bool& has_shared);
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bool move_to_bound_new(theory_var x_i, bool inc, unsigned& best_efforts, bool& has_shared);
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bool pick_var_to_leave(
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theory_var x_j, bool inc, numeral & a_ij,
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inf_numeral& min_gain, inf_numeral& max_gain,
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@ -1036,7 +1036,7 @@ namespace smt {
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virtual inf_eps_rational<inf_rational> maximize(theory_var v, expr_ref& blocker, bool& has_shared);
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virtual inf_eps_rational<inf_rational> value(theory_var v);
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virtual theory_var add_objective(app* term);
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virtual expr* mk_ge(filter_model_converter& fm, theory_var v, inf_numeral const& val);
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virtual expr_ref mk_ge(filter_model_converter& fm, theory_var v, inf_numeral const& val);
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void enable_record_conflict(expr* bound);
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void record_conflict(unsigned num_lits, literal const * lits,
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unsigned num_eqs, enode_pair const * eqs,
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This allows to handle inequalities with non-standard numbers.
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*/
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template<typename Ext>
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expr* theory_arith<Ext>::mk_ge(filter_model_converter& fm, theory_var v, inf_numeral const& val) {
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expr_ref theory_arith<Ext>::mk_ge(filter_model_converter& fm, theory_var v, inf_numeral const& val) {
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ast_manager& m = get_manager();
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context& ctx = get_context();
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std::ostringstream strm;
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TRACE("arith", tout << mk_pp(b, m) << "\n";
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display_atom(tout, a, false););
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}
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return b;
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return expr_ref(b, m);
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}
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bool is_tighter = false;
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if (is_int(x_i)) den_aij = denominator(a_ij);
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SASSERT(den_aij.is_pos() && den_aij.is_int());
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if (is_int(x_i) && !den_aij.is_one()) {
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SASSERT(min_gain.is_pos());
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min_gain = inf_numeral(lcm(min_gain.get_rational(), den_aij));
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normalize_gain(min_gain.get_rational(), max_gain);
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}
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if (!max_inc.is_minus_one()) {
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if (is_int(x_i)) {
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normalize_gain(den_aij, max_inc);
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max_inc = floor(max_inc);
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normalize_gain(min_gain.get_rational(), max_inc);
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}
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if (unbounded_gain(max_gain)) {
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max_gain = max_inc;
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is_tighter = true;
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}
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}
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if (is_int(x_i)) {
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SASSERT(min_gain.is_pos());
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if (!den_aij.is_one()) {
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min_gain = inf_numeral(lcm(min_gain.get_rational(), den_aij));
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normalize_gain(den_aij, max_gain);
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}
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}
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TRACE("opt",
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tout << "v" << x_i << " a_ij " << a_ij << " "
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<< "min gain: " << min_gain << " "
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bool max,
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bool& has_shared) {
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m_stats.m_max_min++;
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bool best_effort = false, inc = false;
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unsigned best_efforts = 0;
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bool inc = false;
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SASSERT(valid_assignment());
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@ -1712,7 +1714,8 @@ namespace smt {
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#endif
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max_min_t result = OPTIMIZED;
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has_shared = false;
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while (true) {
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unsigned max_efforts = 10 + (get_context().get_random_value() % 20);
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while (best_efforts < max_efforts) {
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theory_var x_j = null_theory_var;
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theory_var x_i = null_theory_var;
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max_gain.reset();
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@ -1734,10 +1737,11 @@ namespace smt {
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if (!pick_var_to_leave(curr_x_j, curr_inc, curr_a_ij,
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curr_min_gain, curr_max_gain,
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has_shared, curr_x_i)) {
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best_effort = true;
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continue;
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best_efforts++;
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}
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else {
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SASSERT(safe_gain(curr_min_gain, curr_max_gain));
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}
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SASSERT(safe_gain(curr_min_gain, curr_max_gain));
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if (curr_x_i == null_theory_var) {
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TRACE("opt", tout << "unbounded\n";);
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// we can increase/decrease curr_x_j as much as we want.
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@ -1770,7 +1774,7 @@ namespace smt {
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}
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TRACE("opt", tout << "after traversing row:\nx_i: v" << x_i << ", x_j: v" << x_j << ", gain: " << max_gain << "\n";
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tout << "skipped row: " << (best_effort?"yes":"no") << "\n";
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tout << "best efforts: " << best_efforts << "\n";
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display(tout););
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if (x_j == null_theory_var) {
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@ -1781,7 +1785,7 @@ namespace smt {
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}
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if (min_gain.is_pos() && !min_gain.is_one()) {
|
||||
best_effort = true;
|
||||
++best_efforts;
|
||||
}
|
||||
if (x_i == null_theory_var) {
|
||||
// can increase/decrease x_j as much as we want.
|
||||
|
@ -1802,7 +1806,7 @@ namespace smt {
|
|||
continue;
|
||||
}
|
||||
SASSERT(unbounded_gain(max_gain));
|
||||
best_effort = false;
|
||||
best_efforts = 0;
|
||||
result = UNBOUNDED;
|
||||
break;
|
||||
}
|
||||
|
@ -1836,9 +1840,8 @@ namespace smt {
|
|||
SASSERT(is_base(x_j));
|
||||
|
||||
bool inc_xi = inc?a_ij.is_neg():a_ij.is_pos();
|
||||
if (!move_to_bound_new(x_i, inc_xi, best_effort, has_shared)) {
|
||||
best_effort = true;
|
||||
break;
|
||||
if (!move_to_bound_new(x_i, inc_xi, best_efforts, has_shared)) {
|
||||
// break;
|
||||
}
|
||||
|
||||
row & r2 = m_rows[get_var_row(x_j)];
|
||||
|
@ -1848,7 +1851,7 @@ namespace smt {
|
|||
SASSERT(valid_assignment());
|
||||
}
|
||||
TRACE("opt", display(tout););
|
||||
return best_effort?BEST_EFFORT:result;
|
||||
return (best_efforts>0)?BEST_EFFORT:result;
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -1862,7 +1865,7 @@ namespace smt {
|
|||
bool theory_arith<Ext>::move_to_bound_new(
|
||||
theory_var x_i, // variable to move
|
||||
bool inc, // increment variable or decrement
|
||||
bool& best_effort, // is bound move a best effort?
|
||||
unsigned& best_efforts, // is bound move a best effort?
|
||||
bool& has_shared) { // does move include shared variables?
|
||||
inf_numeral min_gain, max_gain;
|
||||
init_gains(x_i, inc, min_gain, max_gain);
|
||||
|
@ -1877,6 +1880,7 @@ namespace smt {
|
|||
update_gains(inc, s, coeff, min_gain, max_gain);
|
||||
has_shared |= get_context().is_shared(get_enode(s));
|
||||
}
|
||||
bool result = false;
|
||||
if (safe_gain(min_gain, max_gain)) {
|
||||
TRACE("opt", tout << "Safe delta: " << max_gain << "\n";);
|
||||
SASSERT(!unbounded_gain(max_gain));
|
||||
|
@ -1884,12 +1888,15 @@ namespace smt {
|
|||
max_gain.neg();
|
||||
}
|
||||
update_value(x_i, max_gain);
|
||||
best_effort = min_gain.is_pos() && !min_gain.is_one();
|
||||
return !max_gain.is_zero();
|
||||
if (!min_gain.is_pos() || min_gain.is_one()) {
|
||||
++best_efforts;
|
||||
}
|
||||
result = !max_gain.is_zero();
|
||||
}
|
||||
else {
|
||||
return false;
|
||||
if (!result) {
|
||||
++best_efforts;
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -2004,7 +2011,7 @@ namespace smt {
|
|||
add_tmp_row_entry<true>(m_tmp_row, it->m_coeff, it->m_var);
|
||||
}
|
||||
}
|
||||
max_min_t r = max_min_orig(m_tmp_row, max, has_shared);
|
||||
max_min_t r = max_min_new(m_tmp_row, max, has_shared);
|
||||
if (r == OPTIMIZED) {
|
||||
TRACE("opt", tout << mk_pp(e, get_manager()) << " " << (max ? "max" : "min") << " value is: " << get_value(v) << "\n";
|
||||
display_row(tout, m_tmp_row, true); display_row_info(tout, m_tmp_row););
|
||||
|
|
|
@ -198,6 +198,7 @@ namespace smt {
|
|||
void del_vars(unsigned old_num_vars);
|
||||
void init_model();
|
||||
bool internalize_objective(expr * n, rational const& m, rational& r, objective_term & objective);
|
||||
expr_ref mk_ineq(theory_var v, inf_rational const& val, bool is_strict);
|
||||
#ifdef Z3DEBUG
|
||||
bool check_vector_sizes() const;
|
||||
bool check_matrix() const;
|
||||
|
@ -270,8 +271,8 @@ namespace smt {
|
|||
virtual inf_eps_rational<inf_rational> value(theory_var v);
|
||||
virtual theory_var add_objective(app* term);
|
||||
virtual expr_ref mk_gt(theory_var v, inf_rational const& val);
|
||||
virtual expr* mk_ge(theory_var v, inf_rational const& val) { return 0; }
|
||||
|
||||
virtual expr_ref mk_ge(filter_model_converter& fm, theory_var v, inf_rational const& val);
|
||||
|
||||
// -----------------------------------
|
||||
//
|
||||
// Main
|
||||
|
|
|
@ -1030,6 +1030,17 @@ namespace smt {
|
|||
|
||||
template<typename Ext>
|
||||
expr_ref theory_dense_diff_logic<Ext>::mk_gt(theory_var v, inf_rational const& val) {
|
||||
return mk_ineq(v, val, true);
|
||||
}
|
||||
|
||||
template<typename Ext>
|
||||
expr_ref theory_dense_diff_logic<Ext>::mk_ge(
|
||||
filter_model_converter& fm, theory_var v, inf_rational const& val) {
|
||||
return mk_ineq(v, val, false);
|
||||
}
|
||||
|
||||
template<typename Ext>
|
||||
expr_ref theory_dense_diff_logic<Ext>::mk_ineq(theory_var v, inf_rational const& val, bool is_strict) {
|
||||
ast_manager& m = get_manager();
|
||||
objective_term const& t = m_objectives[v];
|
||||
expr_ref e(m), f(m), f2(m);
|
||||
|
@ -1052,19 +1063,32 @@ namespace smt {
|
|||
else {
|
||||
//
|
||||
expr_ref_vector const& core = m_objective_assignments[v];
|
||||
f = m.mk_not(m.mk_and(core.size(), core.c_ptr()));
|
||||
f = m.mk_and(core.size(), core.c_ptr());
|
||||
if (is_strict) {
|
||||
f = m.mk_not(f);
|
||||
}
|
||||
TRACE("arith", tout << "block: " << f << "\n";);
|
||||
return f;
|
||||
}
|
||||
|
||||
inf_rational new_val = val - inf_rational(m_objective_consts[v]);
|
||||
e = m_autil.mk_numeral(new_val.get_rational(), m.get_sort(f));
|
||||
e = m_autil.mk_numeral(val.get_rational(), m.get_sort(f));
|
||||
|
||||
if (new_val.get_infinitesimal().is_neg()) {
|
||||
f = m_autil.mk_ge(f, e);
|
||||
if (val.get_infinitesimal().is_neg()) {
|
||||
if (is_strict) {
|
||||
f = m_autil.mk_ge(f, e);
|
||||
}
|
||||
else {
|
||||
expr_ref_vector const& core = m_objective_assignments[v];
|
||||
f = m.mk_and(core.size(), core.c_ptr());
|
||||
}
|
||||
}
|
||||
else {
|
||||
f = m_autil.mk_gt(f, e);
|
||||
if (is_strict) {
|
||||
f = m_autil.mk_gt(f, e);
|
||||
}
|
||||
else {
|
||||
f = m_autil.mk_ge(f, e);
|
||||
}
|
||||
}
|
||||
return f;
|
||||
}
|
||||
|
|
|
@ -324,13 +324,13 @@ namespace smt {
|
|||
virtual inf_eps value(theory_var v);
|
||||
virtual theory_var add_objective(app* term);
|
||||
virtual expr_ref mk_gt(theory_var v, inf_rational const& val);
|
||||
virtual expr* mk_ge(theory_var v, inf_rational const& val) { return 0; }
|
||||
virtual expr_ref mk_ge(filter_model_converter& fm, theory_var v, inf_rational const& val);
|
||||
|
||||
bool internalize_objective(expr * n, rational const& m, rational& r, objective_term & objective);
|
||||
|
||||
private:
|
||||
|
||||
expr_ref block_objective(theory_var v, inf_rational const& val);
|
||||
expr_ref mk_ineq(theory_var v, inf_rational const& val, bool is_strict);
|
||||
|
||||
virtual void new_eq_eh(theory_var v1, theory_var v2, justification& j);
|
||||
|
||||
|
|
|
@ -546,7 +546,7 @@ void theory_diff_logic<Ext>::propagate_core() {
|
|||
template<typename Ext>
|
||||
bool theory_diff_logic<Ext>::propagate_atom(atom* a) {
|
||||
context& ctx = get_context();
|
||||
TRACE("arith", a->display(*this, tout); );
|
||||
TRACE("arith", a->display(*this, tout); tout << "\n";);
|
||||
if (ctx.inconsistent()) {
|
||||
return false;
|
||||
}
|
||||
|
@ -1236,6 +1236,13 @@ theory_diff_logic<Ext>::maximize(theory_var v, expr_ref& blocker, bool& has_shar
|
|||
core.push_back(tmp);
|
||||
}
|
||||
}
|
||||
compute_delta();
|
||||
for (unsigned i = 0; i < m_graph.get_num_nodes(); ++i) {
|
||||
unsigned w = node2simplex(i);
|
||||
simplex::mpq_ext::eps_numeral const& val = S.get_value(w);
|
||||
rational r = rational(val.first) + m_delta*rational(val.second);
|
||||
m_graph.set_assignment(i, numeral(r));
|
||||
}
|
||||
blocker = mk_gt(v, r);
|
||||
return inf_eps(rational(0), r + m_objective_consts[v]);
|
||||
}
|
||||
|
@ -1267,7 +1274,7 @@ theory_var theory_diff_logic<Ext>::add_objective(app* term) {
|
|||
}
|
||||
|
||||
template<typename Ext>
|
||||
expr_ref theory_diff_logic<Ext>::block_objective(theory_var v, inf_rational const& val) {
|
||||
expr_ref theory_diff_logic<Ext>::mk_ineq(theory_var v, inf_rational const& val, bool is_strict) {
|
||||
ast_manager& m = get_manager();
|
||||
objective_term const& t = m_objectives[v];
|
||||
expr_ref e(m), f(m), f2(m);
|
||||
|
@ -1290,7 +1297,10 @@ expr_ref theory_diff_logic<Ext>::block_objective(theory_var v, inf_rational cons
|
|||
else {
|
||||
//
|
||||
expr_ref_vector const& core = m_objective_assignments[v];
|
||||
f = m.mk_not(m.mk_and(core.size(), core.c_ptr()));
|
||||
f = m.mk_and(core.size(), core.c_ptr());
|
||||
if (is_strict) {
|
||||
f = m.mk_not(f);
|
||||
}
|
||||
TRACE("arith", tout << "block: " << f << "\n";);
|
||||
return f;
|
||||
}
|
||||
|
@ -1299,18 +1309,35 @@ expr_ref theory_diff_logic<Ext>::block_objective(theory_var v, inf_rational cons
|
|||
e = m_util.mk_numeral(new_val.get_rational(), m.get_sort(f));
|
||||
|
||||
if (new_val.get_infinitesimal().is_neg()) {
|
||||
f = m_util.mk_ge(f, e);
|
||||
if (is_strict) {
|
||||
f = m_util.mk_ge(f, e);
|
||||
}
|
||||
else {
|
||||
expr_ref_vector const& core = m_objective_assignments[v];
|
||||
f = m.mk_and(core.size(), core.c_ptr());
|
||||
}
|
||||
}
|
||||
else {
|
||||
f = m_util.mk_gt(f, e);
|
||||
if (is_strict) {
|
||||
f = m_util.mk_gt(f, e);
|
||||
}
|
||||
else {
|
||||
f = m_util.mk_ge(f, e);
|
||||
}
|
||||
}
|
||||
return f;
|
||||
}
|
||||
|
||||
template<typename Ext>
|
||||
expr_ref theory_diff_logic<Ext>::mk_gt(theory_var v, inf_rational const& val) {
|
||||
expr_ref o = block_objective(v, val);
|
||||
return o;
|
||||
return mk_ineq(v, val, true);
|
||||
}
|
||||
|
||||
template<typename Ext>
|
||||
expr_ref theory_diff_logic<Ext>::mk_ge(filter_model_converter& fm, theory_var v, inf_rational const& val) {
|
||||
return mk_ineq(v, val, false);
|
||||
}
|
||||
|
||||
#if 0
|
||||
context & ctx = get_context();
|
||||
model_ref mdl;
|
||||
|
@ -1321,7 +1348,6 @@ expr_ref theory_diff_logic<Ext>::mk_gt(theory_var v, inf_rational const& val) {
|
|||
expr_ref_vector implicants = impl_extractor.minimize_literals(formulas, mdl);
|
||||
return m.mk_and(o, m.mk_not(m.mk_and(implicants.size(), implicants.c_ptr())));
|
||||
#endif
|
||||
}
|
||||
|
||||
template<typename Ext>
|
||||
bool theory_diff_logic<Ext>::internalize_objective(expr * n, rational const& m, rational& q, objective_term & objective) {
|
||||
|
|
|
@ -33,7 +33,7 @@ namespace smt {
|
|||
virtual inf_eps value(theory_var) = 0;
|
||||
virtual inf_eps maximize(theory_var v, expr_ref& blocker, bool& has_shared) = 0;
|
||||
virtual theory_var add_objective(app* term) = 0;
|
||||
virtual expr* mk_ge(filter_model_converter& fm, theory_var v, inf_eps const& val) { UNREACHABLE(); return 0; }
|
||||
virtual expr_ref mk_ge(filter_model_converter& fm, theory_var v, inf_eps const& val) { UNREACHABLE(); return expr_ref(*((ast_manager*)0)); }
|
||||
bool is_linear(ast_manager& m, expr* term);
|
||||
bool is_numeral(arith_util& a, expr* term);
|
||||
};
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue