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Replace the use of optional<rational> by inf_eps_rational<rational>
Also handle composite objectives correctly.
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9 changed files with 50 additions and 43 deletions
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@ -31,7 +31,7 @@ namespace opt {
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*/
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lbool mathsat_style_opt(opt_solver& s,
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expr_ref_vector& objectives, svector<bool> const& is_max,
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vector<optional<rational> >& values) {
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vector<inf_eps_rational<rational> >& values) {
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enable_trace("maximize");
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// First check_sat call for initialize theories
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lbool is_sat = s.check_sat(0, 0);
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@ -39,38 +39,47 @@ namespace opt {
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return l_false;
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}
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s.push();
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// Assume there is only one objective function
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ast_manager& m = objectives.get_manager();
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arith_util autil(m);
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app* objective = is_max[0] ? (app*) objectives[0].get() : autil.mk_uminus(objectives[0].get());
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app* objective = m.mk_fresh_const("objective", autil.mk_real());
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if (is_max[0]) {
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s.assert_expr(autil.mk_eq(objective, objectives[0].get()));
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} else {
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s.assert_expr(autil.mk_eq(objective, autil.mk_uminus(objectives[0].get())));
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};
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s.set_objective(objective);
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s.toggle_objective(true);
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is_sat = s.check_sat(0, 0);
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while (is_sat != l_false) {
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// Extract values for objectives.
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optional<rational> rat;
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rat = s.get_objective_value();
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// Extract values for objectives
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inf_eps_rational<rational> val;
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val = is_max[0] ? s.get_objective_value() : -s.get_objective_value();
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// Unbounded objective
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if (!rat) {
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// Check whether objective is unbounded
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if (!val.is_rational()) {
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values.reset();
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values.push_back(rat);
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return l_true;
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values.push_back(val);
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break;
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}
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// If values have initial data, they will be dropped.
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// If values have initial data, they will be dropped
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values.reset();
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values.push_back(rat);
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values.push_back(val);
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// Assert there must be something better.
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// Assert there must be something better
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expr_ref_vector assumptions(m);
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expr* bound = m.mk_fresh_const("bound", m.mk_bool_sort());
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assumptions.push_back(bound);
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expr* r = autil.mk_numeral(*rat, false);
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expr* r = autil.mk_numeral(val.get_rational(), false);
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s.assert_expr(m.mk_eq(bound, is_max[0] ? autil.mk_gt(objectives[0].get(), r) : autil.mk_lt(objectives[0].get(), r)));
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is_sat = s.check_sat(1, assumptions.c_ptr());
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}
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}
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s.pop(1);
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return l_true;
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}
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@ -82,7 +91,7 @@ namespace opt {
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lbool optimize_objectives(opt_solver& s,
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expr_ref_vector& objectives, svector<bool> const& is_max,
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vector<optional<rational> >& values) {
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vector<inf_eps_rational<rational> >& values) {
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return mathsat_style_opt(s, objectives, is_max, values);
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}
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}
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