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Merge branch 'opt' of https://git01.codeplex.com/z3 into opt

This commit is contained in:
Nikolaj Bjorner 2014-08-29 08:36:52 -07:00
commit d141719d68
5 changed files with 199 additions and 44 deletions

View file

@ -122,10 +122,9 @@ namespace datalog {
UNREACHABLE();
return t;
}
};
typedef ptr_hashtable<product_set, product_set::hash, product_set::eq> product_sets;
class product_set_relation : public relation_base {
@ -215,6 +214,72 @@ namespace datalog {
ptr_vector<relation_mutator_fn>& mutators);
};
class product_set_factory;
class product_set2 {
friend class product_set_factory;
unsigned char m_data[0];
public:
enum initial_t {
EMPTY_t,
FULL_t
};
product_set2(product_set_factory& fac, initial_t init);
~product_set2();
unsigned get_hash(product_set_factory& fac) const;
bool equals(product_set_factory& fac, product_set2 const& other) const;
void add_fact(product_set_factory& fac, const relation_fact & f);
bool contains_fact(product_set_factory& fac, const relation_fact & f) const;
relation_base * clone(product_set_factory& fac) const;
void reset(product_set_factory& fac);
void mk_join(product_set_factory& fac, product_set2 const& r1, product_set2 const& r2,
unsigned num_cols, unsigned const* cols1, unsigned const* cols2);
void mk_project(product_set_factory& fac,
product_set2 const& r, unsigned col_cnt, unsigned const* removed_cols);
void mk_rename(product_set_factory& fac,
product_set2 const& r, unsigned col_cnt, unsigned const* cycle);
void mk_union(product_set_factory& fac,
product_set2 const& src, product_set2* delta, bool is_widen);
unsigned find(product_set_factory& fac, unsigned i);
void merge(product_set_factory& fac, unsigned i, unsigned j);
void display(product_set_factory& fac, std::ostream& out) const;
};
class product_set_factory {
friend class product_set_factory;
unsigned char m_data[0];
public:
enum initial_t {
EMPTY_t,
FULL_t
};
product_set_factory(product_set_plugin& p, relation_signature const& sig);
~product_set_factory();
product_set2* create();
void retire(product_set2*);
unsigned get_hash(product_set2& ps) const;
bool equals(product_set2 const& p1, product_set2 const& p2);
void add_fact(product_set2& p, const relation_fact & f);
bool contains_fact(product_set2& p, const relation_fact & f) const;
relation_base * clone(product_set2& p) const;
void reset(product_set2& p);
void mk_join(product_set2& p, product_set2 const& r1, product_set2 const& r2,
unsigned num_cols, unsigned const* cols1, unsigned const* cols2);
void mk_project(product_set2& p,
product_set2 const& r, unsigned col_cnt, unsigned const* removed_cols);
void mk_rename(product_set2& p,
product_set2 const& r, unsigned col_cnt, unsigned const* cycle);
void mk_union(product_set2& p,
product_set2 const& src, product_set2* delta, bool is_widen);
unsigned find(product_set2& p, unsigned i);
void merge(product_set2& p, unsigned i, unsigned j);
void display(product_set2& p, std::ostream& out) const;
};
};
#endif

View file

@ -70,6 +70,7 @@ public:
enum strategy_t {
s_mus,
s_mus_mss,
s_mus_mss2,
s_mss
};
private:
@ -83,6 +84,7 @@ private:
strategy_t m_st;
rational m_max_upper;
bool m_hill_climb;
bool m_all_cores;
public:
maxres(context& c,
@ -94,7 +96,8 @@ public:
m_mss(m_s, m),
m_trail(m),
m_st(st),
m_hill_climb(true)
m_hill_climb(true),
m_all_cores(false)
{
}
@ -150,21 +153,9 @@ public:
return l_undef;
}
switch (is_sat) {
case l_true: {
s().get_model(m_model);
expr_ref tmp(m);
DEBUG_CODE(
for (unsigned i = 0; i < m_asms.size(); ++i) {
VERIFY(m_model->eval(m_asms[i].get(), tmp));
SASSERT(m.is_true(tmp));
});
for (unsigned i = 0; i < m_soft.size(); ++i) {
VERIFY(m_model->eval(m_soft[i].get(), tmp));
m_assignment[i] = m.is_true(tmp);
}
m_upper = m_lower;
case l_true:
found_optimum();
return l_true;
}
case l_false:
is_sat = process_unsat();
if (is_sat != l_true) return is_sat;
@ -267,12 +258,104 @@ public:
return l_true;
}
/**
Plan:
- Get maximal set of disjoint cores.
- Update the lower bound using the cores.
- As a side-effect find a satisfying assignment that has maximal weight.
(during core minimization several queries are bound to be SAT,
those can be used to boot-strap the MCS search).
- Use the best satisfying assignment from the MUS search to find an MCS of least weight.
- Update the upper bound using the MCS.
- Update the soft constraints using first the cores.
- Then update the resulting soft constraints using the evaluation of the MCS/MSS
- Add a cardinality constraint to force new satisfying assignments to improve
the new upper bound.
- In every iteration, the lower bound is improved using the cores.
- In every iteration, the upper bound is improved using the MCS.
- Optionally: add a cardinality constraint to prune the upper bound.
What are the corner cases:
- suppose that cost of cores adds up to current upper bound.
-> it means that each core is a unit (?)
*/
lbool mus_mss2_solver() {
init();
init_local();
sls();
m_all_cores = true;
NOT_IMPLEMENTED_YET();
vector<ptr_vector<expr> > cores;
return l_undef;
lbool is_sat = l_true;
while (m_lower < m_upper && is_sat == l_true) {
TRACE("opt",
display_vec(tout, m_asms.size(), m_asms.c_ptr());
s().display(tout);
tout << "\n";
display(tout);
);
lbool is_sat = s().check_sat(m_asms.size(), m_asms.c_ptr());
if (m_cancel) {
return l_undef;
}
switch (is_sat) {
case l_true:
found_optimum();
return l_true;
case l_false:
is_sat = process_unsat(cores);
break;
default:
break;
}
if (is_sat == l_undef) {
return l_undef;
}
if (cores.empty()) {
SASSERT(is_sat == l_false);
break;
}
SASSERT(is_sat == l_true);
// there is some best model,
// extend it to a maximal assignment
// extracting the mss and mcs.
set_mus(false);
ptr_vector<expr> mss, mcs;
is_sat = m_mss(cores, mss, mcs);
set_mus(true);
if (is_sat != l_true) return is_sat;
//
}
m_lower = m_upper;
return l_true;
}
void found_optimum() {
s().get_model(m_model);
expr_ref tmp(m);
DEBUG_CODE(
for (unsigned i = 0; i < m_asms.size(); ++i) {
VERIFY(m_model->eval(m_asms[i].get(), tmp));
SASSERT(m.is_true(tmp));
});
for (unsigned i = 0; i < m_soft.size(); ++i) {
VERIFY(m_model->eval(m_soft[i].get(), tmp));
m_assignment[i] = m.is_true(tmp);
}
m_upper = m_lower;
}
lbool operator()() {
switch(m_st) {
case s_mus:
return mus_solver();
case s_mus_mss:
return mus_mss_solver();
case s_mus_mss2:
return mus_mss2_solver();
case s_mss:
return mss_solver();
}
@ -293,8 +376,7 @@ public:
break;
}
cores.push_back(core);
// TBD: ad hoc to avoid searching for large cores..
if (core.size() >= 3) {
if (!m_all_cores && core.size() >= 3) {
break;
}
remove_soft(core, asms);
@ -361,7 +443,7 @@ public:
return index;
}
lbool process_sat(ptr_vector<expr>& corr_set) {
lbool process_sat(ptr_vector<expr> const& corr_set) {
expr_ref fml(m), tmp(m);
TRACE("opt", display_vec(tout << "corr_set: ", corr_set.size(), corr_set.c_ptr()););
if (corr_set.empty()) {
@ -377,6 +459,10 @@ public:
lbool process_unsat() {
vector<ptr_vector<expr> > cores;
return process_unsat(cores);
}
lbool process_unsat(vector<ptr_vector<expr> >& cores) {
lbool is_sat = get_cores(cores);
if (is_sat != l_true) {
return is_sat;
@ -390,7 +476,7 @@ public:
return is_sat;
}
lbool process_unsat(ptr_vector<expr>& core) {
lbool process_unsat(ptr_vector<expr> const& core) {
expr_ref fml(m);
remove_core(core);
rational w = split_core(core);
@ -404,7 +490,7 @@ public:
}
lbool minimize_core(ptr_vector<expr>& core) {
if (m_c.sat_enabled()) {
if (m_c.sat_enabled() || core.empty()) {
return l_true;
}
m_mus.reset();
@ -473,7 +559,7 @@ public:
}
}
void max_resolve(ptr_vector<expr>& core, rational const& w) {
void max_resolve(ptr_vector<expr> const& core, rational const& w) {
SASSERT(!core.empty());
expr_ref fml(m), asum(m);
app_ref cls(m), d(m), dd(m);
@ -515,7 +601,7 @@ public:
}
// cs is a correction set (a complement of a (maximal) satisfying assignment).
void cs_max_resolve(ptr_vector<expr>& cs, rational const& w) {
void cs_max_resolve(ptr_vector<expr> const& cs, rational const& w) {
TRACE("opt", display_vec(tout << "correction set: ", cs.size(), cs.c_ptr()););
SASSERT(!cs.empty());
expr_ref fml(m), asum(m);

View file

@ -41,7 +41,7 @@ namespace opt {
m_c(c),
m_cancel(false), m_soft(m),
m_assertions(m) {
m_s.get_model(m_model);
c.get_base_model(m_model);
SASSERT(m_model);
updt_params(c.params());
init_soft(ws, soft);

View file

@ -215,7 +215,7 @@ namespace opt {
case 0:
return is_sat;
case 1:
return execute(m_objectives[0], true);
return execute(m_objectives[0], true, false);
default: {
opt_params optp(m_params);
symbol pri = optp.priority();
@ -232,6 +232,10 @@ namespace opt {
}
}
void context::get_base_model(model_ref& mdl) {
mdl = m_model;
}
void context::get_model(model_ref& mdl) {
mdl = m_model;
if (mdl) {
@ -242,27 +246,31 @@ namespace opt {
}
}
lbool context::execute_min_max(unsigned index, bool committed) {
lbool context::execute_min_max(unsigned index, bool committed, bool scoped) {
if (scoped) get_solver().push();
lbool result = m_optsmt.lex(index);
if (result == l_true && committed) m_optsmt.commit_assignment(index);
if (result == l_true) m_optsmt.get_model(m_model);
if (scoped) get_solver().pop(1);
if (result == l_true && committed) m_optsmt.commit_assignment(index);
return result;
}
lbool context::execute_maxsat(symbol const& id, bool committed) {
lbool context::execute_maxsat(symbol const& id, bool committed, bool scoped) {
model_ref tmp;
maxsmt& ms = *m_maxsmts.find(id);
if (scoped) get_solver().push();
lbool result = ms(m_solver.get());
if (result == l_true && committed) ms.commit_assignment();
if (result != l_false && (ms.get_model(tmp), tmp.get())) ms.get_model(m_model);
if (scoped) get_solver().pop(1);
if (result == l_true && committed) ms.commit_assignment();
return result;
}
lbool context::execute(objective const& obj, bool committed) {
lbool context::execute(objective const& obj, bool committed, bool scoped) {
switch(obj.m_type) {
case O_MAXIMIZE: return execute_min_max(obj.m_index, committed);
case O_MINIMIZE: return execute_min_max(obj.m_index, committed);
case O_MAXSMT: return execute_maxsat(obj.m_id, committed);
case O_MAXIMIZE: return execute_min_max(obj.m_index, committed, scoped);
case O_MINIMIZE: return execute_min_max(obj.m_index, committed, scoped);
case O_MAXSMT: return execute_maxsat(obj.m_id, committed, scoped);
default: UNREACHABLE(); return l_undef;
}
}
@ -271,9 +279,7 @@ namespace opt {
lbool r = l_true;
for (unsigned i = 0; r == l_true && i < m_objectives.size(); ++i) {
bool is_last = i + 1 == m_objectives.size();
if (!is_last) get_solver().push();
r = execute(m_objectives[i], i + 1 < m_objectives.size());
if (!is_last) get_solver().pop(1);
r = execute(m_objectives[i], i + 1 < m_objectives.size(), !is_last);
if (r == l_true && !get_lower_as_num(i).is_finite()) {
return r;
}
@ -291,7 +297,7 @@ namespace opt {
objective const& obj = m_objectives[i];
if (obj.m_type == O_MAXSMT) {
solver::scoped_push _sp(get_solver());
r = execute(obj, false);
r = execute(obj, false, false);
}
}
return r;
@ -399,9 +405,6 @@ namespace opt {
if (is_sat == l_true) {
yield();
}
else {
m_solver->pop(1);
}
return is_sat;
}

View file

@ -179,14 +179,15 @@ namespace opt {
void enable_sls(expr_ref_vector const& soft, weights_t& weights);
void set_enable_sls(bool f) { m_enable_sls = f; }
symbol const& maxsat_engine() const { return m_maxsat_engine; }
void get_base_model(model_ref& m);
private:
void validate_feasibility(maxsmt& ms);
lbool execute(objective const& obj, bool committed);
lbool execute_min_max(unsigned index, bool committed);
lbool execute_maxsat(symbol const& s, bool committed);
lbool execute(objective const& obj, bool committed, bool scoped);
lbool execute_min_max(unsigned index, bool committed, bool scoped);
lbool execute_maxsat(symbol const& s, bool committed, bool scoped);
lbool execute_lex();
lbool execute_box();
lbool execute_pareto();