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fill in details on max sat

Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
Nikolaj Bjorner 2013-10-16 02:07:30 -07:00
parent 45eda6c6ad
commit 8ae0b06912
2 changed files with 80 additions and 39 deletions

View file

@ -18,6 +18,8 @@ Notes:
#include "opt_cmds.h"
#include "cmd_context.h"
#include "ast_pp.h"
#include "smt_solver.h"
#include "fu_malik.h"
class opt_context {
ast_manager& m;
@ -35,7 +37,7 @@ public:
m_weights.push_back(w);
}
expr_ref_vector const& formulas() const { return m_formulas; }
expr_ref_vector const & formulas() const { return m_formulas; }
vector<rational> const& weights() const { return m_weights; }
};
@ -93,7 +95,6 @@ public:
}
virtual void execute(cmd_context & ctx) {
std::cout << "TODO: " << mk_pp(m_formula, ctx.m()) << " " << m_weight << "\n";
m_opt_ctx->add_formula(m_formula, m_weight);
reset(ctx);
}
@ -141,22 +142,51 @@ public:
}
virtual void execute(cmd_context & ctx) {
ast_manager& m = m_term.get_manager();
std::cout << "TODO: " << mk_pp(m_term, ctx.m()) << "\n";
// Here is how to retrieve the soft constraints
m_opt_ctx->formulas();
m_opt_ctx->weights();
get_background(ctx);
// reset m_opt_ctx?
}
expr_ref_vector const& fmls = m_opt_ctx->formulas();
vector<rational> const& ws = m_opt_ctx->weights();
// TODO: move most functionaltiy to separate module, because it is going to grow..
ref<solver> s;
symbol logic;
params_ref p;
p.set_bool("model", true);
p.set_bool("unsat_core", true);
s = mk_smt_solver(m, p, logic);
private:
void get_background(cmd_context& ctx) {
ptr_vector<expr>::const_iterator it = ctx.begin_assertions();
ptr_vector<expr>::const_iterator end = ctx.end_assertions();
for (; it != end; ++it) {
// Need a solver object that supports soft constraints
// m_solver.assert_expr(*it);
s->assert_expr(*it);
}
expr_ref_vector fmls_copy(fmls);
if (is_maxsat_problem(ws)) {
lbool is_sat = opt::fu_malik_maxsat(*s, fmls_copy);
std::cout << "is-sat: " << is_sat << "\n";
if (is_sat == l_true) {
for (unsigned i = 0; i < fmls_copy.size(); ++i) {
std::cout << mk_pp(fmls_copy[i].get(), m) << "\n";
}
}
}
else {
NOT_IMPLEMENTED_YET();
}
// handle optimization criterion.
}
private:
bool is_maxsat_problem(vector<rational> const& ws) const {
for (unsigned i = 0; i < ws.size(); ++i) {
if (!ws[i].is_one()) {
return false;
}
}
return true;
}
};