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working on weighted max smt

Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
Nikolaj Bjorner 2013-10-28 17:13:23 -07:00
parent 72c3473400
commit d78d22deb6

View file

@ -17,8 +17,87 @@ Notes:
--*/
#include "weighted_maxsat.h"
#include "smt_theory.h"
#include "smt_context.h"
namespace opt {
class theory_weighted_maxsat : public smt::theory {
vector<rational> m_weights; // weights of theory variables.
svector<smt::theory_var> m_costs; // set of asserted theory variables
rational m_cost; // current sum of asserted costs
rational m_min_cost; // current minimal cost assignment.
svector<smt::theory_var> m_assignment; // current best assignment.
public:
theory_weighted_maxsat(ast_manager& m):
theory(m.get_family_id("weighted_maxsat"))
{}
void assert_weighted(expr* fml, rational const& w) {
smt::bool_var v = smt::null_theory_var;
// internalize fml
// assert weighted clause. v \/ fml
//
m_weights.push_back(w);
m_min_cost += w;
}
virtual void assign_eh(smt::bool_var v, bool is_true) {
smt::context& ctx = get_context();
if (is_true) {
rational const& w = m_weights[v];
ctx.push_trail(value_trail<smt::context, rational>(m_cost));
// TBD: ctx.push_trail(...trail.pop_back(m_costly));
m_cost += w;
m_costs.push_back(v);
if (m_cost > m_min_cost) {
block();
}
}
}
virtual smt::final_check_status final_check_eh() {
if (m_cost < m_min_cost) {
m_min_cost = m_cost;
m_assignment.reset();
m_assignment.append(m_costs);
}
block();
return smt::FC_DONE;
}
private:
class compare_cost {
theory_weighted_maxsat& m_th;
public:
compare_cost(theory_weighted_maxsat& t):m_th(t) {}
bool operator() (smt::theory_var v, smt::theory_var w) const {
return m_th.m_weights[v] < m_th.m_weights[w];
}
};
void block() {
ast_manager& m = get_manager();
smt::context& ctx = get_context();
smt::literal_vector lits;
compare_cost compare_cost(*this);
std::sort(m_costs.begin(), m_costs.end(), compare_cost);
rational weight(0);
for (unsigned i = 0; i < m_costs.size() &&
weight < m_min_cost; ++i) {
weight += m_weights[m_costs[i]];
lits.push_back(~smt::literal(m_costs[i]));
}
smt::justification * js = 0;
if (m.proofs_enabled()) {
js = new (ctx.get_region())
smt::theory_lemma_justification(get_id(), ctx, lits.size(), lits.c_ptr());
}
ctx.mk_clause(lits.size(), lits.c_ptr(), js, smt::CLS_AUX_LEMMA, 0);
}
};
/**
Takes solver with hard constraints added.
Returns a maximal satisfying subset of weighted soft_constraints