mirror of
https://github.com/Z3Prover/z3
synced 2025-04-13 12:28:44 +00:00
fixing bugs in refactored code exposed from White's example
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
parent
c84ab2fc01
commit
7237be768b
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@ -126,6 +126,15 @@ namespace opt {
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}
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}
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void maxsmt::add(expr* f, rational const& w) {
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TRACE("opt", tout << mk_pp(f, m) << " weight: " << w << "\n";);
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SASSERT(m.is_bool(f));
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SASSERT(w.is_pos());
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m_soft_constraints.push_back(f);
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m_weights.push_back(w);
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m_upper += w;
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}
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void maxsmt::display_answer(std::ostream& out) const {
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for (unsigned i = 0; i < m_soft_constraints.size(); ++i) {
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out << mk_pp(m_soft_constraints[i], m)
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@ -64,14 +64,7 @@ namespace opt {
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void updt_params(params_ref& p);
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void add(expr* f, rational const& w) {
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SASSERT(m.is_bool(f));
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SASSERT(w.is_pos());
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m_soft_constraints.push_back(f);
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m_weights.push_back(w);
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m_upper += w;
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}
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void add(expr* f, rational const& w);
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unsigned size() const { return m_soft_constraints.size(); }
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expr* operator[](unsigned idx) const { return m_soft_constraints[idx]; }
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rational weight(unsigned idx) const { return m_weights[idx]; }
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@ -547,6 +547,10 @@ namespace opt {
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void context::from_fmls(expr_ref_vector const& fmls) {
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TRACE("opt",
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for (unsigned i = 0; i < fmls.size(); ++i) {
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tout << mk_pp(fmls[i], m) << "\n";
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});
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m_hard_constraints.reset();
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expr* orig_term;
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for (unsigned i = 0; i < fmls.size(); ++i) {
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@ -607,6 +611,10 @@ 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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for (unsigned i = 0; i < fmls.size(); ++i) {
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tout << mk_pp(fmls[i].get(), m) << "\n";
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});
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}
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void context::internalize() {
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@ -670,6 +678,11 @@ namespace opt {
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}
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}
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void context::display(std::ostream& out) {
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}
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void context::display_assignment(std::ostream& out) {
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for (unsigned i = 0; i < m_objectives.size(); ++i) {
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objective const& obj = m_objectives[i];
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@ -123,6 +123,7 @@ namespace opt {
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virtual std::string reason_unknown() const { return std::string("unknown"); }
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virtual void display_assignment(std::ostream& out);
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void display(std::ostream& out);
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static void collect_param_descrs(param_descrs & r);
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void updt_params(params_ref& p);
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@ -778,92 +778,8 @@ namespace opt {
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}
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}
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};
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/**
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Iteratively increase cost until there is an assignment during
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final_check that satisfies min_cost.
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Takes: log (n / log(n)) iterations
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*/
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class iwmax : public maxsmt_solver_wbase {
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public:
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iwmax(solver* s, ast_manager& m, smt::context& ctx): maxsmt_solver_wbase(s, m, ctx) {}
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virtual ~iwmax() {}
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lbool operator()() {
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scoped_ensure_theory wth(*this);
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solver::scoped_push _s(s());
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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wth().assert_weighted(m_soft[i].get(), m_weights[i]);
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}
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solver::scoped_push __s(s());
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rational cost = wth().get_min_cost();
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rational log_cost(1), tmp(1);
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while (tmp < cost) {
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++log_cost;
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tmp *= rational(2);
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}
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expr_ref_vector bounds(m);
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expr_ref bound(m);
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lbool result = l_false;
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unsigned nsc = 0;
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m_upper = cost;
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while (result == l_false) {
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bound = wth().set_min_cost(log_cost);
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s().push();
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++nsc;
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IF_VERBOSE(1, verbose_stream() << "(wmaxsat.iwmax min cost: " << log_cost << ")\n";);
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TRACE("opt", tout << "cost: " << log_cost << " " << bound << "\n";);
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bounds.push_back(bound);
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result = conditional_solve(bound);
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if (result == l_false) {
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m_lower = log_cost;
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}
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if (log_cost > cost) {
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break;
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}
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log_cost *= rational(2);
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if (m_cancel) {
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result = l_undef;
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}
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}
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s().pop(nsc);
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return result;
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}
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private:
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lbool conditional_solve(expr* cond) {
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IF_VERBOSE(1, verbose_stream() << "(wmaxsat.conditional solve)\n";);
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smt::theory_wmaxsat& wth = *get_theory();
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bool was_sat = false;
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lbool is_sat = l_true;
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while (l_true == is_sat) {
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is_sat = s().check_sat(1,&cond);
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if (m_cancel) {
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is_sat = l_undef;
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}
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if (is_sat == l_true) {
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if (wth.is_optimal()) {
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s().get_model(m_model);
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was_sat = true;
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}
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expr_ref fml = wth.mk_block();
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s().assert_expr(fml);
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}
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}
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if (was_sat) {
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wth.get_assignment(m_assignment);
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}
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if (is_sat == l_false && was_sat) {
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is_sat = l_true;
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}
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if (is_sat == l_true) {
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m_lower = m_upper = wth.get_min_cost();
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}
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TRACE("opt", tout << "min cost: " << m_upper << "\n";);
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return is_sat;
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}
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};
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class wmax : public maxsmt_solver_wbase {
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public:
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@ -914,19 +830,21 @@ namespace opt {
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};
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class bvmax : public maxsmt_solver_base {
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solver* mk_sat_solver(solver* s) {
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solver* mk_sat_solver() {
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tactic_ref pb2bv = mk_card2bv_tactic(m, m_params);
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tactic_ref bv2sat = mk_qfbv_tactic(m, m_params);
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tactic_ref tac = and_then(pb2bv.get(), bv2sat.get());
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solver* sat_solver = mk_tactic2solver(m, tac.get(), m_params);
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unsigned sz = s->get_num_assertions();
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unsigned sz = s().get_num_assertions();
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for (unsigned i = 0; i < sz; ++i) {
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sat_solver->assert_expr(s->get_assertion(i));
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sat_solver->assert_expr(s().get_assertion(i));
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}
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return sat_solver;
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}
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public:
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bvmax(solver* s, ast_manager& m): maxsmt_solver_base(mk_sat_solver(s), m) {}
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bvmax(solver* s, ast_manager& m): maxsmt_solver_base(s, m) {
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m_s = mk_sat_solver();
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}
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virtual ~bvmax() {}
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//
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@ -1058,9 +976,6 @@ namespace opt {
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if (m_maxsmt) {
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return *m_maxsmt;
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}
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if (m_engine == symbol("iwmax")) {
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m_maxsmt = alloc(iwmax, s.get(), m, s->get_context());
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}
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else if (m_engine == symbol("pwmax")) {
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m_maxsmt = alloc(pwmax, s.get(), m);
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}
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@ -1118,6 +1033,7 @@ namespace opt {
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void updt_params(params_ref& p) {
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opt_params _p(p);
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m_engine = _p.wmaxsat_engine();
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std::cout << m_engine << "\n";
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m_maxsmt = 0;
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}
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};
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@ -1159,6 +1075,92 @@ namespace opt {
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#if 0
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/**
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Iteratively increase cost until there is an assignment during
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final_check that satisfies min_cost.
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Takes: log (n / log(n)) iterations
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*/
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class iwmax : public maxsmt_solver_wbase {
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public:
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iwmax(solver* s, ast_manager& m, smt::context& ctx): maxsmt_solver_wbase(s, m, ctx) {}
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virtual ~iwmax() {}
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lbool operator()() {
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pb_util
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solver::scoped_push _s(s());
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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wth().assert_weighted(m_soft[i].get(), m_weights[i]);
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}
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solver::scoped_push __s(s());
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rational cost = wth().get_min_cost();
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rational log_cost(1), tmp(1);
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while (tmp < cost) {
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++log_cost;
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tmp *= rational(2);
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}
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expr_ref_vector bounds(m);
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expr_ref bound(m);
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lbool result = l_false;
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unsigned nsc = 0;
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m_upper = cost;
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while (result == l_false) {
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bound = wth().set_min_cost(log_cost);
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s().push();
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++nsc;
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IF_VERBOSE(1, verbose_stream() << "(wmaxsat.iwmax min cost: " << log_cost << ")\n";);
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TRACE("opt", tout << "cost: " << log_cost << " " << bound << "\n";);
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bounds.push_back(bound);
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result = conditional_solve(wth(), bound);
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if (result == l_false) {
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m_lower = log_cost;
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}
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if (log_cost > cost) {
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break;
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}
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log_cost *= rational(2);
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if (m_cancel) {
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result = l_undef;
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}
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}
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s().pop(nsc);
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return result;
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}
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private:
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lbool conditional_solve(smt::theory_wmaxsat& wth, expr* cond) {
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bool was_sat = false;
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lbool is_sat = l_true;
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while (l_true == is_sat) {
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is_sat = s().check_sat(1,&cond);
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if (m_cancel) {
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is_sat = l_undef;
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}
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if (is_sat == l_true) {
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if (wth.is_optimal()) {
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s().get_model(m_model);
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was_sat = true;
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}
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expr_ref fml = wth.mk_block();
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s().assert_expr(fml);
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}
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}
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if (was_sat) {
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wth.get_assignment(m_assignment);
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}
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if (is_sat == l_false && was_sat) {
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is_sat = l_true;
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}
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if (is_sat == l_true) {
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m_lower = m_upper = wth.get_min_cost();
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}
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TRACE("opt", tout << "min cost: " << m_upper << " sat: " << is_sat << "\n";);
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return is_sat;
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}
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};
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// ------------------------------------------------------
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// Version from CP'13
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lbool wpm2b_solve() {
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@ -29,8 +29,6 @@ theory_wmaxsat::theory_wmaxsat(ast_manager& m, ref<filter_model_converter>& mc):
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m_mc(mc),
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m_vars(m),
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m_fmls(m),
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m_min_cost_atom(m),
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m_min_cost_atoms(m),
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m_zweights(m_mpz),
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m_old_values(m_mpz),
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m_zcost(m_mpz),
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return m_rmin_cost;
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}
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expr* theory_wmaxsat::set_min_cost(rational const& c) {
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m_normalize = true;
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ast_manager& m = get_manager();
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std::ostringstream strm;
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strm << "cost <= " << c;
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m_rmin_cost = c;
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m_min_cost_atom = m.mk_fresh_const(strm.str().c_str(), m.mk_bool_sort());
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m_min_cost_atoms.push_back(m_min_cost_atom);
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m_mc->insert(m_min_cost_atom->get_decl());
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m_min_cost_bv = register_var(m_min_cost_atom, false);
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return m_min_cost_atom;
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}
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void theory_wmaxsat::assign_eh(bool_var v, bool is_true) {
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TRACE("opt", tout << "Assign " << mk_pp(m_vars[m_bool2var[v]].get(), get_manager()) << " " << is_true << "\n";);
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if (is_true) {
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@ -194,8 +177,6 @@ void theory_wmaxsat::reset_eh() {
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m_cost_save.reset();
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m_bool2var.reset();
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m_var2bool.reset();
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m_min_cost_atom = 0;
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m_min_cost_atoms.reset();
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m_propagate = false;
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m_found_optimal = false;
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m_assigned.reset();
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@ -231,9 +212,6 @@ expr_ref theory_wmaxsat::mk_block() {
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weight += m_zweights[costs[i]];
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disj.push_back(m.mk_not(m_vars[costs[i]].get()));
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}
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if (m_min_cost_atom) {
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disj.push_back(m.mk_not(m_min_cost_atom));
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}
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if (is_optimal()) {
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unsynch_mpq_manager mgr;
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scoped_mpq q(mgr);
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m_cost_save.push_back(v);
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disj.push_back(m.mk_not(m_vars[v].get()));
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}
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if (m_min_cost_atom) {
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disj.push_back(m.mk_not(m_min_cost_atom));
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}
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expr_ref result(m.mk_or(disj.size(), disj.c_ptr()), m);
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return result;
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}
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weight += m_zweights[costs[i]];
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lits.push_back(~literal(m_var2bool[costs[i]]));
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}
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if (m_min_cost_atom) {
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lits.push_back(~literal(m_min_cost_bv));
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}
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TRACE("opt",
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tout << "block: ";
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for (unsigned i = 0; i < lits.size(); ++i) {
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@ -32,9 +32,6 @@ namespace smt {
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mutable unsynch_mpz_manager m_mpz;
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app_ref_vector m_vars; // Auxiliary variables per soft clause
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expr_ref_vector m_fmls; // Formulas per soft clause
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app_ref m_min_cost_atom; // atom tracking modified lower bound
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app_ref_vector m_min_cost_atoms;
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bool_var m_min_cost_bv; // max cost Boolean variable
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vector<rational> m_rweights; // weights of theory variables.
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scoped_mpz_vector m_zweights;
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scoped_mpz_vector m_old_values;
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@ -60,7 +57,6 @@ namespace smt {
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bool_var assert_weighted(expr* fml, rational const& w);
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bool_var register_var(app* var, bool attach);
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rational const& get_min_cost();
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expr* set_min_cost(rational const& c);
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class numeral_trail : public trail<context> {
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typedef scoped_mpz T;
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T & m_value;
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