mirror of
https://github.com/Z3Prover/z3
synced 2025-04-22 16:45:31 +00:00
Merge branch 'opt' of https://git01.codeplex.com/z3 into opt
This commit is contained in:
commit
d141719d68
5 changed files with 199 additions and 44 deletions
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@ -122,10 +122,9 @@ namespace datalog {
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UNREACHABLE();
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return t;
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}
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};
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typedef ptr_hashtable<product_set, product_set::hash, product_set::eq> product_sets;
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class product_set_relation : public relation_base {
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@ -215,6 +214,72 @@ namespace datalog {
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ptr_vector<relation_mutator_fn>& mutators);
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};
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class product_set_factory;
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class product_set2 {
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friend class product_set_factory;
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unsigned char m_data[0];
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public:
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enum initial_t {
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EMPTY_t,
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FULL_t
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};
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product_set2(product_set_factory& fac, initial_t init);
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~product_set2();
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unsigned get_hash(product_set_factory& fac) const;
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bool equals(product_set_factory& fac, product_set2 const& other) const;
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void add_fact(product_set_factory& fac, const relation_fact & f);
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bool contains_fact(product_set_factory& fac, const relation_fact & f) const;
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relation_base * clone(product_set_factory& fac) const;
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void reset(product_set_factory& fac);
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void mk_join(product_set_factory& fac, product_set2 const& r1, product_set2 const& r2,
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unsigned num_cols, unsigned const* cols1, unsigned const* cols2);
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void mk_project(product_set_factory& fac,
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product_set2 const& r, unsigned col_cnt, unsigned const* removed_cols);
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void mk_rename(product_set_factory& fac,
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product_set2 const& r, unsigned col_cnt, unsigned const* cycle);
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void mk_union(product_set_factory& fac,
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product_set2 const& src, product_set2* delta, bool is_widen);
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unsigned find(product_set_factory& fac, unsigned i);
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void merge(product_set_factory& fac, unsigned i, unsigned j);
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void display(product_set_factory& fac, std::ostream& out) const;
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};
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class product_set_factory {
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friend class product_set_factory;
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unsigned char m_data[0];
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public:
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enum initial_t {
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EMPTY_t,
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FULL_t
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};
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product_set_factory(product_set_plugin& p, relation_signature const& sig);
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~product_set_factory();
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product_set2* create();
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void retire(product_set2*);
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unsigned get_hash(product_set2& ps) const;
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bool equals(product_set2 const& p1, product_set2 const& p2);
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void add_fact(product_set2& p, const relation_fact & f);
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bool contains_fact(product_set2& p, const relation_fact & f) const;
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relation_base * clone(product_set2& p) const;
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void reset(product_set2& p);
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void mk_join(product_set2& p, product_set2 const& r1, product_set2 const& r2,
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unsigned num_cols, unsigned const* cols1, unsigned const* cols2);
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void mk_project(product_set2& p,
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product_set2 const& r, unsigned col_cnt, unsigned const* removed_cols);
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void mk_rename(product_set2& p,
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product_set2 const& r, unsigned col_cnt, unsigned const* cycle);
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void mk_union(product_set2& p,
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product_set2 const& src, product_set2* delta, bool is_widen);
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unsigned find(product_set2& p, unsigned i);
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void merge(product_set2& p, unsigned i, unsigned j);
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void display(product_set2& p, std::ostream& out) const;
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};
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};
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#endif
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@ -70,6 +70,7 @@ 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_mus_mss2,
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s_mss
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};
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private:
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@ -83,6 +84,7 @@ private:
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strategy_t m_st;
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rational m_max_upper;
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bool m_hill_climb;
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bool m_all_cores;
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public:
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maxres(context& c,
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@ -94,7 +96,8 @@ public:
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m_mss(m_s, m),
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m_trail(m),
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m_st(st),
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m_hill_climb(true)
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m_hill_climb(true),
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m_all_cores(false)
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{
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}
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@ -150,21 +153,9 @@ public:
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return l_undef;
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}
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switch (is_sat) {
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case l_true: {
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s().get_model(m_model);
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expr_ref tmp(m);
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DEBUG_CODE(
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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VERIFY(m_model->eval(m_asms[i].get(), tmp));
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SASSERT(m.is_true(tmp));
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});
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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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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m_upper = m_lower;
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case l_true:
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found_optimum();
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return l_true;
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}
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case l_false:
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is_sat = process_unsat();
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if (is_sat != l_true) return is_sat;
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@ -267,12 +258,104 @@ public:
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return l_true;
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}
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/**
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Plan:
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- Get maximal set of disjoint cores.
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- Update the lower bound using the cores.
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- As a side-effect find a satisfying assignment that has maximal weight.
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(during core minimization several queries are bound to be SAT,
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those can be used to boot-strap the MCS search).
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- Use the best satisfying assignment from the MUS search to find an MCS of least weight.
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- Update the upper bound using the MCS.
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- Update the soft constraints using first the cores.
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- Then update the resulting soft constraints using the evaluation of the MCS/MSS
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- Add a cardinality constraint to force new satisfying assignments to improve
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the new upper bound.
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- In every iteration, the lower bound is improved using the cores.
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- In every iteration, the upper bound is improved using the MCS.
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- Optionally: add a cardinality constraint to prune the upper bound.
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What are the corner cases:
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- suppose that cost of cores adds up to current upper bound.
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-> it means that each core is a unit (?)
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*/
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lbool mus_mss2_solver() {
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init();
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init_local();
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sls();
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m_all_cores = true;
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NOT_IMPLEMENTED_YET();
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vector<ptr_vector<expr> > cores;
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return l_undef;
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lbool is_sat = l_true;
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while (m_lower < m_upper && is_sat == l_true) {
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TRACE("opt",
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display_vec(tout, m_asms.size(), m_asms.c_ptr());
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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 = s().check_sat(m_asms.size(), m_asms.c_ptr());
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if (m_cancel) {
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return l_undef;
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}
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switch (is_sat) {
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case l_true:
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found_optimum();
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return l_true;
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case l_false:
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is_sat = process_unsat(cores);
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break;
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default:
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break;
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}
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if (is_sat == l_undef) {
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return l_undef;
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}
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if (cores.empty()) {
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SASSERT(is_sat == l_false);
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break;
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}
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SASSERT(is_sat == l_true);
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// there is some best model,
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// extend it to a maximal assignment
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// extracting the mss and mcs.
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set_mus(false);
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ptr_vector<expr> mss, mcs;
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is_sat = m_mss(cores, mss, mcs);
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set_mus(true);
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if (is_sat != l_true) return is_sat;
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//
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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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void found_optimum() {
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s().get_model(m_model);
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expr_ref tmp(m);
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DEBUG_CODE(
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for (unsigned i = 0; i < m_asms.size(); ++i) {
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VERIFY(m_model->eval(m_asms[i].get(), tmp));
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SASSERT(m.is_true(tmp));
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});
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for (unsigned i = 0; i < m_soft.size(); ++i) {
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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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m_upper = m_lower;
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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_mus_mss2:
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return mus_mss2_solver();
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case s_mss:
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return mss_solver();
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}
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@ -293,8 +376,7 @@ public:
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break;
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}
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cores.push_back(core);
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// TBD: ad hoc to avoid searching for large cores..
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if (core.size() >= 3) {
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if (!m_all_cores && core.size() >= 3) {
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break;
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}
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remove_soft(core, asms);
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@ -361,7 +443,7 @@ public:
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return index;
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}
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lbool process_sat(ptr_vector<expr>& corr_set) {
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lbool process_sat(ptr_vector<expr> const& 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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if (corr_set.empty()) {
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@ -377,6 +459,10 @@ public:
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lbool process_unsat() {
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vector<ptr_vector<expr> > cores;
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return process_unsat(cores);
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}
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lbool process_unsat(vector<ptr_vector<expr> >& cores) {
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lbool is_sat = get_cores(cores);
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if (is_sat != l_true) {
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return is_sat;
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@ -390,7 +476,7 @@ public:
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return is_sat;
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}
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lbool process_unsat(ptr_vector<expr>& core) {
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lbool process_unsat(ptr_vector<expr> const& core) {
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expr_ref fml(m);
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remove_core(core);
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rational w = split_core(core);
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@ -404,7 +490,7 @@ public:
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}
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lbool minimize_core(ptr_vector<expr>& core) {
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if (m_c.sat_enabled()) {
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if (m_c.sat_enabled() || core.empty()) {
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return l_true;
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}
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m_mus.reset();
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@ -473,7 +559,7 @@ public:
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}
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}
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void max_resolve(ptr_vector<expr>& core, rational const& w) {
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void max_resolve(ptr_vector<expr> const& core, rational const& w) {
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SASSERT(!core.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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@ -515,7 +601,7 @@ public:
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}
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// cs is a correction set (a complement of a (maximal) satisfying assignment).
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void cs_max_resolve(ptr_vector<expr>& cs, rational const& w) {
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void cs_max_resolve(ptr_vector<expr> const& cs, rational const& w) {
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TRACE("opt", display_vec(tout << "correction set: ", cs.size(), cs.c_ptr()););
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SASSERT(!cs.empty());
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expr_ref fml(m), asum(m);
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@ -41,7 +41,7 @@ namespace opt {
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m_c(c),
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m_cancel(false), m_soft(m),
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m_assertions(m) {
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m_s.get_model(m_model);
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c.get_base_model(m_model);
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SASSERT(m_model);
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updt_params(c.params());
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init_soft(ws, soft);
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@ -215,7 +215,7 @@ namespace opt {
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case 0:
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return is_sat;
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case 1:
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return execute(m_objectives[0], true);
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return execute(m_objectives[0], true, false);
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default: {
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opt_params optp(m_params);
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symbol pri = optp.priority();
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@ -232,6 +232,10 @@ namespace opt {
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}
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}
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void context::get_base_model(model_ref& mdl) {
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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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if (mdl) {
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@ -242,27 +246,31 @@ namespace opt {
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}
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}
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lbool context::execute_min_max(unsigned index, bool committed) {
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lbool context::execute_min_max(unsigned index, bool committed, bool scoped) {
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if (scoped) get_solver().push();
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lbool result = m_optsmt.lex(index);
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if (result == l_true && committed) m_optsmt.commit_assignment(index);
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if (result == l_true) m_optsmt.get_model(m_model);
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if (scoped) get_solver().pop(1);
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if (result == l_true && committed) m_optsmt.commit_assignment(index);
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return result;
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}
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lbool context::execute_maxsat(symbol const& id, bool committed) {
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lbool context::execute_maxsat(symbol const& id, bool committed, bool scoped) {
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model_ref tmp;
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maxsmt& ms = *m_maxsmts.find(id);
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if (scoped) get_solver().push();
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lbool result = ms(m_solver.get());
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if (result == l_true && committed) ms.commit_assignment();
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if (result != l_false && (ms.get_model(tmp), tmp.get())) ms.get_model(m_model);
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if (scoped) get_solver().pop(1);
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if (result == l_true && committed) ms.commit_assignment();
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return result;
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}
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lbool context::execute(objective const& obj, bool committed) {
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lbool context::execute(objective const& obj, bool committed, bool scoped) {
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switch(obj.m_type) {
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case O_MAXIMIZE: return execute_min_max(obj.m_index, committed);
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case O_MINIMIZE: return execute_min_max(obj.m_index, committed);
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case O_MAXSMT: return execute_maxsat(obj.m_id, committed);
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case O_MAXIMIZE: return execute_min_max(obj.m_index, committed, scoped);
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case O_MINIMIZE: return execute_min_max(obj.m_index, committed, scoped);
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case O_MAXSMT: return execute_maxsat(obj.m_id, committed, scoped);
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default: UNREACHABLE(); return l_undef;
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}
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}
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@ -271,9 +279,7 @@ namespace opt {
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lbool r = l_true;
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for (unsigned i = 0; r == l_true && i < m_objectives.size(); ++i) {
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bool is_last = i + 1 == m_objectives.size();
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if (!is_last) get_solver().push();
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r = execute(m_objectives[i], i + 1 < m_objectives.size());
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if (!is_last) get_solver().pop(1);
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r = execute(m_objectives[i], i + 1 < m_objectives.size(), !is_last);
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if (r == l_true && !get_lower_as_num(i).is_finite()) {
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return r;
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}
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|
@ -291,7 +297,7 @@ namespace opt {
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objective const& obj = m_objectives[i];
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if (obj.m_type == O_MAXSMT) {
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solver::scoped_push _sp(get_solver());
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r = execute(obj, false);
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r = execute(obj, false, false);
|
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}
|
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}
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return r;
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|
@ -399,9 +405,6 @@ namespace opt {
|
|||
if (is_sat == l_true) {
|
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yield();
|
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}
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else {
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m_solver->pop(1);
|
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}
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return is_sat;
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}
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|
|
|
@ -179,14 +179,15 @@ namespace opt {
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void enable_sls(expr_ref_vector const& soft, weights_t& weights);
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void set_enable_sls(bool f) { m_enable_sls = f; }
|
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symbol const& maxsat_engine() const { return m_maxsat_engine; }
|
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void get_base_model(model_ref& m);
|
||||
|
||||
|
||||
private:
|
||||
void validate_feasibility(maxsmt& ms);
|
||||
|
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lbool execute(objective const& obj, bool committed);
|
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lbool execute_min_max(unsigned index, bool committed);
|
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lbool execute_maxsat(symbol const& s, bool committed);
|
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lbool execute(objective const& obj, bool committed, bool scoped);
|
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lbool execute_min_max(unsigned index, bool committed, bool scoped);
|
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lbool execute_maxsat(symbol const& s, bool committed, bool scoped);
|
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lbool execute_lex();
|
||||
lbool execute_box();
|
||||
lbool execute_pareto();
|
||||
|
|
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