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https://github.com/Z3Prover/z3
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updated maxhs
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
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1 changed files with 171 additions and 67 deletions
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@ -590,9 +590,10 @@ namespace opt {
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// ----------------------------------
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// MaxSatHS+MSS
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// variant of MaxSAT-HS that also refines
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// upper bound. Lower-bounds are also
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// refined in a partial way
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// variant of MaxSAT-HS (Algorithm 9)
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// that also refines upper bound during progressive calls
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// to the underlying optimization solver for the soft constraints.
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//
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class hsmax : public maxsmt_solver_base {
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struct stats {
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@ -605,17 +606,18 @@ namespace opt {
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unsigned m_num_model_expansions_failure;
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double m_core_reduction_time;
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double m_model_expansion_time;
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double m_aux_sat_time;
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double m_aux_sat_time;
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double m_disjoint_cores_time;
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};
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scoped_ptr<maxsmt_solver_base> maxs;
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expr_ref_vector m_aux; // auxiliary (indicator) variables.
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expr_ref_vector m_naux; // negation of auxiliary variables.
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obj_map<expr, unsigned> m_aux2index; // expr |-> index
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unsigned_vector m_core_activity; // number of times soft constraint is used in a core.
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svector<bool> m_seed; // clause selected in current model.
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svector<bool> m_aux_active; // active soft clauses.
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ptr_vector<expr> m_asms; // assumptions (over aux)
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bool m_partial_check; // last check was partial.
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pb_util pb;
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stats m_stats;
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@ -626,7 +628,6 @@ namespace opt {
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maxs(maxs),
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m_aux(m),
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m_naux(m),
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m_partial_check(false),
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pb(m) {
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}
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virtual ~hsmax() {}
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@ -647,51 +648,50 @@ namespace opt {
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st.update("hsmax-core-reduction-time", m_stats.m_core_reduction_time);
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st.update("hsmax-model-expansion-time", m_stats.m_model_expansion_time);
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st.update("hsmax-aux-sat-time", m_stats.m_aux_sat_time);
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st.update("hsmax-disj-core-time", m_stats.m_disjoint_cores_time);
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}
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lbool operator()() {
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ptr_vector<expr> hs;
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init();
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init_local();
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lbool is_sat = l_true;
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bool is_first = true;
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while (is_sat != l_false && m_lower < m_upper) {
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if (!disjoint_cores(hs)) {
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return l_undef;
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}
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seed2assumptions();
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while (m_lower < m_upper) {
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++m_stats.m_num_iterations;
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IF_VERBOSE(1, verbose_stream() <<
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"(wmaxsat.hsmax [" << m_lower << ":" << m_upper << "])\n";);
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if (m_cancel)
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if (m_cancel) {
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return l_undef;
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switch(is_sat) {
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}
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lbool core_found = generate_cores(hs);
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switch(core_found) {
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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 l_true;
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case l_true:
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TRACE("opt", tout << "is_first: " << is_first << "\n";);
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if (!is_first) {
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is_sat = check_subset();
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}
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is_first = false;
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case l_true: {
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lbool is_sat = next_seed();
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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_true:
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if (grow())
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block_down();
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else
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return l_undef;
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case l_true:
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seed2hs(hs);
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break;
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case l_false:
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if (shrink())
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block_up();
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else
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return l_undef;
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break;
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TRACE("opt", tout << "no more seeds\n";);
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m_lower = m_upper;
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return l_true;
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case l_undef:
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return l_undef;
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}
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break;
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}
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case l_false:
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TRACE("opt", tout << "no more cores\n";);
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m_lower = m_upper;
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return l_true;
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}
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is_sat = next_seed();
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}
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m_lower = m_upper;
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return l_true;
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}
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@ -701,17 +701,20 @@ namespace opt {
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void init_local() {
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unsigned sz = num_soft();
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m_asms.reset();
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m_seed.reset();
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m_aux.reset();
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m_naux.reset();
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m_aux_active.reset();
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m_aux2index.reset();
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m_core_activity.reset();
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for (unsigned i = 0; i < sz; ++i) {
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bool tt = is_true(m_model, m_soft[i].get());
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m_seed.push_back(tt);
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m_aux. push_back(mk_fresh());
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m_naux.push_back(m.mk_not(m_aux.back()));
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m_aux_active.push_back(false);
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m_core_activity.push_back(0);
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m_aux2index.insert(m_aux[i].get(), i);
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if (tt) {
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m_asms.push_back(m_aux.back());
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@ -722,10 +725,132 @@ namespace opt {
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TRACE("opt", print_seed(tout););
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}
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void seed2assumptions() {
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m_asms.reset();
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for (unsigned i = 0; i < num_soft(); ++i) {
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if (m_seed[i]) {
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m_asms.push_back(m_aux[i].get());
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}
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}
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}
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void hs2seed(ptr_vector<expr> const& hs) {
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for (unsigned i = 0; i < num_soft(); ++i) {
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m_seed[i] = true;
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}
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for (unsigned i = 0; i < hs.size(); ++i) {
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m_seed[m_aux2index.find(hs[i])] = false;
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}
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}
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void seed2hs(ptr_vector<expr>& hs) {
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hs.reset();
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for (unsigned i = 0; i < num_soft(); ++i) {
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if (!m_seed[i]) {
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hs.push_back(m_aux[i].get());
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}
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}
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}
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//
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// retrieve the next seed that satisfies state of maxs.
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// state of maxs must be satisfiable before optimization is called.
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// Find disjoint cores for soft constraints.
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//
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bool disjoint_cores(ptr_vector<expr>& hs) {
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scoped_stopwatch _sw(m_stats.m_disjoint_cores_time);
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m_asms.reset();
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svector<bool> active(num_soft(), true);
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rational lower(0);
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update_assumptions(active, lower, hs);
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SASSERT(lower.is_zero());
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while (true) {
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lbool is_sat = s().check_sat(m_asms.size(), m_asms.c_ptr());
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switch (is_sat) {
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case l_true:
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if (lower > m_lower) {
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m_lower = lower;
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}
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return true;
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case l_false:
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if (!shrink()) return false;
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block_up();
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update_assumptions(active, lower, hs);
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break;
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case l_undef:
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return false;
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}
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}
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}
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void update_assumptions(svector<bool>& active, rational& lower, ptr_vector<expr>& hs) {
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rational arg_min(0);
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expr* e = 0;
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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unsigned index = m_aux2index.find(m_asms[i]);
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active[index] = false;
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if (arg_min.is_zero() || arg_min > m_weights[index]) {
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arg_min = m_weights[index];
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e = m_asms[i];
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}
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}
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if (e) {
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hs.push_back(e);
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lower += arg_min;
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}
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m_asms.reset();
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for (unsigned i = 0; i < num_soft(); ++i) {
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if (active[i]) {
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m_asms.push_back(m_aux[i].get());
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ensure_active(i);
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}
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}
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}
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//
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// Auxiliary Algorithm 10 for producing cores.
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//
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lbool generate_cores(ptr_vector<expr>& hs) {
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bool core = false;
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while (true) {
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hs2seed(hs);
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lbool is_sat = check_subset();
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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_true:
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if (!grow()) return l_undef;
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block_down();
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return core?l_true:l_false;
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case l_false:
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if (!shrink()) return l_undef;
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find_non_optimal_hitting_set(hs);
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break;
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}
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}
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}
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struct lt_activity {
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hsmax& hs;
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lt_activity(hsmax& hs):hs(hs) {}
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bool operator()(expr* a, expr* b) const {
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unsigned w1 = hs.m_core_activity[hs.m_aux2index.find(a)];
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unsigned w2 = hs.m_core_activity[hs.m_aux2index.find(b)];
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return w1 < w2;
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}
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};
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//
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// produce the non-optimal hitting set by using the 10% heuristic.
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// of most active cores constraints.
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//
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void find_non_optimal_hitting_set(ptr_vector<expr>& hs) {
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// m_asms contains the current core.
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std::sort(m_asms.begin(), m_asms.end(), lt_activity(*this));
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for (unsigned i = m_asms.size(); i > 9*m_asms.size()/10;) {
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--i;
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hs.push_back(m_asms[i]);
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}
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}
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struct cancel_maxs {
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hsmax& hs;
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cancel_maxs(hsmax& hs):hs(hs) {}
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@ -737,43 +862,26 @@ namespace opt {
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}
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};
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//
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// find some satisfying assignment to maxs state.
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// improve it towards lower bound within some resource
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// limits (or skip improvement steps all-together,
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// to enable improving upper bound more often).
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// This is the next satisfying assignment.
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// retrieve the next seed that satisfies state of maxs.
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// state of maxs must be satisfiable before optimization is called.
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//
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//
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// find a satisfying assignment to maxs state, that
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// minimizes objective function.
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//
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lbool next_seed() {
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scoped_stopwatch _sw(m_stats.m_aux_sat_time);
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lbool is_sat = maxs->s().check_sat(0,0);
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m_partial_check = true;
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if (is_sat == l_true) {
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maxs->set_model();
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}
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else {
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return is_sat;
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}
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if (false) {
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unsigned timeout = 1000; // fixme, make adaptive
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cancel_maxs ch(*this);
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cancel_eh<cancel_maxs> eh(ch);
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{
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scoped_timer timer(timeout, &eh);
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is_sat = (*maxs)();
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is_sat = (*maxs)();
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// revert timeout.
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if (is_sat == l_undef && !m_cancel) {
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IF_VERBOSE(1, verbose_stream() << "(wmaxsat.opt-timeout)\n";);
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TRACE("opt", tout << "(wmaxsat.opt-timeout)\n";);
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maxs->set_cancel(false);
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is_sat = l_true;
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}
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else {
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m_partial_check = false;
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}
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}
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}
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if (is_sat == l_true) {
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model_ref mdl;
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maxs->get_model(mdl);
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update_model();
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break;
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case l_false:
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if (m_lower < maxs->get_lower()) {
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m_lower = maxs->get_lower();
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}
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break;
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default:
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break;
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@ -832,7 +937,6 @@ namespace opt {
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// assignment improves the previous m_upper).
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//
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bool grow() {
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m_upper.reset();
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scoped_stopwatch _sw(m_stats.m_model_expansion_time);
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for (unsigned i = 0; i < num_soft(); ++i) {
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if (!m_seed[i]) {
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@ -854,7 +958,6 @@ namespace opt {
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return false;
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case l_false:
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++m_stats.m_num_model_expansions_failure;
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m_upper += m_weights[i];
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m_asms.pop_back();
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break;
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case l_true:
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@ -880,13 +983,13 @@ namespace opt {
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return true;
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}
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//
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// remove soft constraints from the current core.
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//
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bool shrink() {
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scoped_stopwatch _sw(m_stats.m_core_reduction_time);
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m_asms.reset();
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s().get_unsat_core(m_asms);
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return true; // disabled pending configuration experiment.
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TRACE("opt", print_asms(tout););
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obj_map<expr, unsigned> asm2index;
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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@ -983,6 +1086,7 @@ namespace opt {
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expr_ref fml(m);
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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fmls.push_back(m.mk_not(m_asms[i]));
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m_core_activity[m_aux2index.find(m_asms[i])]++;
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}
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fml = m.mk_or(fmls.size(), fmls.c_ptr());
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TRACE("opt", tout << fml << "\n";);
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