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https://github.com/Z3Prover/z3
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moving dual solver to maxres
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
parent
5e026b7897
commit
a41b1d34ce
1 changed files with 210 additions and 4 deletions
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@ -27,20 +27,30 @@ using namespace opt;
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class maxres : public maxsmt_solver_base {
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public:
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enum strategy_t {
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s_mus,
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s_mus_mss,
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s_mss
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};
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private:
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expr_ref_vector m_B;
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expr_ref_vector m_asms;
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obj_map<expr, rational> m_asm2weight;
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ptr_vector<expr> m_new_core;
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mus m_mus;
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expr_ref_vector m_trail;
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strategy_t m_st;
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public:
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maxres(ast_manager& m, opt_solver* s, params_ref& p,
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vector<rational> const& ws, expr_ref_vector const& soft):
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vector<rational> const& ws, expr_ref_vector const& soft,
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strategy_t st):
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maxsmt_solver_base(s, m, p, ws, soft),
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m_B(m), m_asms(m),
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m_mus(m_s, m),
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m_trail(m)
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m_trail(m),
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m_st(st)
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{
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}
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@ -81,7 +91,7 @@ public:
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m_trail.push_back(e);
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}
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lbool operator()() {
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lbool mus_solver() {
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solver::scoped_push _sc(*m_s.get());
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init();
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init_local();
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@ -127,6 +137,69 @@ public:
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return l_true;
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}
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lbool mus_mss_solver() {
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solver::scoped_push _sc(*m_s.get());
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init();
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init_local();
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enable_bvsat();
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enable_sls();
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lbool was_sat = l_false;
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ptr_vector<expr> soft_compl;
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vector<ptr_vector<expr> > cores;
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while (m_lower < m_upper) {
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TRACE("opt",
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display_vec(tout, m_asms.size(), m_asms.c_ptr());
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m_s->display(tout);
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tout << "\n";
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display(tout);
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);
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lbool is_sat = m_s->check_sat(0, 0);
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if (m_cancel) {
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return l_undef;
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}
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if (is_sat == l_true) {
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was_sat = l_true;
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is_sat = extend_model(soft_compl);
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switch (is_sat) {
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case l_undef:
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break;
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case l_false:
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is_sat = process_unsat();
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break;
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case l_true:
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is_sat = process_sat(soft_compl);
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break;
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}
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}
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switch (is_sat) {
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case l_undef:
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return l_undef;
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case l_false:
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m_lower = m_upper;
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return was_sat;
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case l_true:
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break;
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}
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}
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return was_sat;
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}
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lbool mss_solver() {
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NOT_IMPLEMENTED_YET();
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return l_undef;
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}
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lbool operator()() {
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switch(m_st) {
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case s_mus:
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return mus_solver();
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case s_mus_mss:
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return mus_mss_solver();
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case s_mss:
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return mss_solver();
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}
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}
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lbool get_cores(vector<ptr_vector<expr> >& cores) {
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// assume m_s is unsat.
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lbool is_sat = l_false;
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@ -165,6 +238,21 @@ public:
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}
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lbool process_sat(ptr_vector<expr>& corr_set) {
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expr_ref fml(m), tmp(m);
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TRACE("opt", display_vec(tout << "corr_set: ", corr_set.size(), corr_set.c_ptr()););
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SASSERT(!corr_set.empty()); // we should somehow stop if all soft are satisfied.
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if (corr_set.empty()) {
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return l_false;
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}
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remove_core(corr_set);
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rational w = split_core(corr_set);
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TRACE("opt", display_vec(tout << " corr_set: ", corr_set.size(), corr_set.c_ptr()););
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dual_max_resolve(corr_set, w);
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return l_true;
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}
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lbool process_unsat() {
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vector<ptr_vector<expr> > cores;
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lbool is_sat = get_cores(cores);
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@ -295,6 +383,124 @@ public:
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}
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}
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// satc are the complements of a (maximal) satisfying assignment.
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void dual_max_resolve(ptr_vector<expr>& satc, rational const& w) {
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SASSERT(!satc.empty());
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expr_ref fml(m), asum(m);
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app_ref cls(m), d(m), dd(m);
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m_B.reset();
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m_B.append(satc.size(), satc.c_ptr());
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d = m.mk_false();
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//
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// d_0 := false
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// d_i := b_{i-1} or d_{i-1} for i = 1...sz-1
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// soft (b_i and d_i)
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// == (b_i and (b_0 or b_1 or ... or b_{i-1}))
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//
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// asm => b_i
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// asm => d_{i-1} or b_{i-1}
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// d_i => d_{i-1} or b_{i-1}
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for (unsigned i = 1; i < satc.size(); ++i) {
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expr* b_i = m_B[i-1].get();
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expr* b_i1 = m_B[i].get();
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cls = m.mk_or(b_i, d);
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if (i > 2) {
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d = mk_fresh_bool("d");
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fml = m.mk_implies(d, cls);
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m_s->assert_expr(fml);
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}
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else {
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d = cls;
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}
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asum = mk_fresh_bool("a");
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fml = m.mk_implies(asum, b_i1);
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m_s->assert_expr(fml);
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fml = m.mk_implies(asum, cls);
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m_s->assert_expr(fml);
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new_assumption(asum, w);
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}
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fml = m.mk_or(m_B.size(), m_B.c_ptr());
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m_s->assert_expr(fml);
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}
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//
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// The hard constraints are satisfiable.
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// Extend the current model to satisfy as many
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// soft constraints as possible until either
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// hitting an unsatisfiable subset of size < 1/2*#assumptions,
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// or producing a maximal satisfying assignment exceeding
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// number of soft constraints >= 1/2*#assumptions.
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// In both cases, soft constraints that are not satisfied
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// is <= 1/2*#assumptions. In this way, the new modified assumptions
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// account for at most 1/2 of the current assumptions.
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// The core reduction algorithms also need to take into account
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// at most 1/2 of the assumptions for minimization.
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//
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lbool extend_model(ptr_vector<expr>& soft_compl) {
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ptr_vector<expr> asms;
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model_ref mdl;
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expr_ref tmp(m);
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m_s->get_model(mdl);
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unsigned num_true = update_model(mdl, asms, soft_compl);
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for (unsigned j = 0; j < m_asms.size(); ++j) {
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expr* fml = m_asms[j].get();
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VERIFY(mdl->eval(fml, tmp));
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if (m.is_false(tmp)) {
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asms.push_back(fml);
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lbool is_sat = m_s->check_sat(asms.size(), asms.c_ptr());
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asms.pop_back();
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switch (is_sat) {
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case l_false:
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if (num_true*2 < m_asms.size()) {
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return l_false;
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}
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break;
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case l_true:
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m_s->get_model(mdl);
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num_true = update_model(mdl, asms, soft_compl);
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break;
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case l_undef:
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return l_undef;
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}
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}
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}
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return l_true;
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}
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unsigned update_model(model_ref& mdl, ptr_vector<expr>& asms, ptr_vector<expr>& soft_compl) {
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expr_ref tmp(m);
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asms.reset();
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soft_compl.reset();
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rational weight = m_lower;
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unsigned num_true = 0;
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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expr* fml = m_asms[i].get();
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VERIFY(mdl->eval(fml, tmp));
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SASSERT(m.is_false(tmp) || m.is_true(tmp));
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if (m.is_false(tmp)) {
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weight += get_weight(fml);
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soft_compl.push_back(fml);
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}
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else {
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++num_true;
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asms.push_back(fml);
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}
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}
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if (weight < m_upper) {
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m_upper = weight;
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m_model = mdl;
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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expr_ref tmp(m);
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VERIFY(m_model->eval(m_soft[i].get(), tmp));
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m_assignment[i] = m.is_true(tmp);
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}
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IF_VERBOSE(1, verbose_stream() <<
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"(opt.dual_max_res [" << m_lower << ":" << m_upper << "])\n";);
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}
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return num_true;
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}
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void remove_soft(ptr_vector<expr> const& core, expr_ref_vector& asms) {
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for (unsigned i = 0; i < asms.size(); ++i) {
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if (core.contains(asms[i].get())) {
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@ -327,6 +533,6 @@ public:
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opt::maxsmt_solver_base* opt::mk_maxres(ast_manager& m, opt_solver* s, params_ref& p,
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vector<rational> const& ws, expr_ref_vector const& soft) {
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return alloc(maxres, m, s, p, ws, soft);
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return alloc(maxres, m, s, p, ws, soft, maxres::s_mus);
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}
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