mirror of
https://github.com/Z3Prover/z3
synced 2025-08-15 23:35:26 +00:00
Merge branch 'bvsls' of https://git01.codeplex.com/z3 into bvsls
Conflicts: src/tactic/sls/sls_engine.cpp src/tactic/sls/sls_engine.h src/tactic/sls/sls_evaluator.h src/tactic/sls/sls_tracker.h
This commit is contained in:
commit
5ab65d52a6
53 changed files with 2315 additions and 4466 deletions
|
@ -25,6 +25,7 @@ Notes:
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#include"bv_decl_plugin.h"
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#include"expr_replacer.h"
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#include"extension_model_converter.h"
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#include"filter_model_converter.h"
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#include"ast_smt2_pp.h"
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class bv_size_reduction_tactic : public tactic {
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@ -60,6 +61,7 @@ struct bv_size_reduction_tactic::imp {
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obj_map<app, numeral> m_unsigned_lowers;
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obj_map<app, numeral> m_unsigned_uppers;
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ref<bv_size_reduction_mc> m_mc;
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ref<filter_model_converter> m_fmc;
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scoped_ptr<expr_replacer> m_replacer;
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bool m_produce_models;
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volatile bool m_cancel;
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@ -121,21 +123,41 @@ struct bv_size_reduction_tactic::imp {
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negated = true;
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f = to_app(f)->get_arg(0);
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}
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if (m_util.is_bv_sle(f, lhs, rhs)) {
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bv_sz = m_util.get_bv_size(lhs);
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if (is_uninterp_const(lhs) && m_util.is_numeral(rhs, val, bv_sz)) {
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TRACE("bv_size_reduction", tout << (negated?"not ":"") << mk_ismt2_pp(f, m) << std::endl; );
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// v <= k
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if (negated) update_signed_lower(to_app(lhs), val+numeral(1));
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val = m_util.norm(val, bv_sz, true);
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if (negated) {
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val += numeral(1);
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if (m_util.norm(val, bv_sz, true) != val) {
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// bound is infeasible.
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}
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else {
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update_signed_lower(to_app(lhs), val);
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}
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}
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else update_signed_upper(to_app(lhs), val);
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}
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else if (is_uninterp_const(rhs) && m_util.is_numeral(lhs, val, bv_sz)) {
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TRACE("bv_size_reduction", tout << (negated?"not ":"") << mk_ismt2_pp(f, m) << std::endl; );
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// k <= v
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if (negated) update_signed_upper(to_app(rhs), val-numeral(1));
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val = m_util.norm(val, bv_sz, true);
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if (negated) {
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val -= numeral(1);
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if (m_util.norm(val, bv_sz, true) != val) {
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// bound is infeasible.
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}
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else {
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update_signed_upper(to_app(lhs), val);
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}
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}
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else update_signed_lower(to_app(rhs), val);
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}
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}
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#if 0
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else if (m_util.is_bv_ule(f, lhs, rhs)) {
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if (is_uninterp_const(lhs) && m_util.is_numeral(rhs, val, bv_sz)) {
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@ -196,6 +218,7 @@ struct bv_size_reduction_tactic::imp {
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numeral u = m_util.norm(entry->get_data().m_value, bv_sz, true);
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TRACE("bv_size_reduction", tout << l << " <= " << v->get_decl()->get_name() << " <= " << u << "\n";);
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expr * new_def = 0;
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app * new_const = 0;
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if (l > u) {
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g.assert_expr(m.mk_false());
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return;
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@ -208,15 +231,19 @@ struct bv_size_reduction_tactic::imp {
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if (l.is_neg()) {
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unsigned i_nb = (u - l).get_num_bits();
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unsigned v_nb = m_util.get_bv_size(v);
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if (i_nb < v_nb)
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new_def = m_util.mk_sign_extend(v_nb - i_nb, m.mk_fresh_const(0, m_util.mk_sort(i_nb)));
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if (i_nb < v_nb) {
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new_const = m.mk_fresh_const(0, m_util.mk_sort(i_nb));
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new_def = m_util.mk_sign_extend(v_nb - i_nb, new_const);
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}
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}
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else {
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// 0 <= l <= v <= u
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unsigned u_nb = u.get_num_bits();
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unsigned v_nb = m_util.get_bv_size(v);
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if (u_nb < v_nb)
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new_def = m_util.mk_concat(m_util.mk_numeral(numeral(0), v_nb - u_nb), m.mk_fresh_const(0, m_util.mk_sort(u_nb)));
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if (u_nb < v_nb) {
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new_const = m.mk_fresh_const(0, m_util.mk_sort(u_nb));
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new_def = m_util.mk_concat(m_util.mk_numeral(numeral(0), v_nb - u_nb), new_const);
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}
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}
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}
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@ -226,6 +253,10 @@ struct bv_size_reduction_tactic::imp {
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if (!m_mc)
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m_mc = alloc(bv_size_reduction_mc, m);
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m_mc->insert(v->get_decl(), new_def);
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if (!m_fmc && new_const)
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m_fmc = alloc(filter_model_converter, m);
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if (new_const)
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m_fmc->insert(new_const->get_decl());
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}
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num_reduced++;
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}
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@ -264,6 +295,7 @@ struct bv_size_reduction_tactic::imp {
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TRACE("bv_size_reduction", tout << l << " <= " << v->get_decl()->get_name() << " <= " << u << "\n";);
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expr * new_def = 0;
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app * new_const = 0;
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if (l > u) {
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g.assert_expr(m.mk_false());
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return;
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@ -275,8 +307,10 @@ struct bv_size_reduction_tactic::imp {
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// 0 <= l <= v <= u
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unsigned u_nb = u.get_num_bits();
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unsigned v_nb = m_util.get_bv_size(v);
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if (u_nb < v_nb)
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new_def = m_util.mk_concat(m_util.mk_numeral(numeral(0), v_nb - u_nb), m.mk_fresh_const(0, m_util.mk_sort(u_nb)));
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if (u_nb < v_nb) {
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new_def = m_util.mk_concat(m_util.mk_numeral(numeral(0), v_nb - u_nb), new_const);
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new_const = m.mk_fresh_const(0, m_util.mk_sort(u_nb));
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}
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}
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if (new_def) {
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@ -285,6 +319,10 @@ struct bv_size_reduction_tactic::imp {
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if (!m_mc)
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m_mc = alloc(bv_size_reduction_mc, m);
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m_mc->insert(v->get_decl(), new_def);
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if (!m_fmc && new_const)
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m_fmc = alloc(filter_model_converter, m);
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if (new_const)
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m_fmc->insert(new_const->get_decl());
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}
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num_reduced++;
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TRACE("bv_size_reduction", tout << "New definition = " << mk_ismt2_pp(new_def, m) << "\n";);
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@ -309,7 +347,11 @@ struct bv_size_reduction_tactic::imp {
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g.update(i, new_f);
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}
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mc = m_mc.get();
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if (m_fmc) {
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mc = concat(m_fmc.get(), mc.get());
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}
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m_mc = 0;
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m_fmc = 0;
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}
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report_tactic_progress(":bv-reduced", num_reduced);
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TRACE("after_bv_size_reduction", g.display(tout); if (m_mc) m_mc->display(tout););
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@ -1368,12 +1368,12 @@ void fpa2bv_converter::mk_fusedma(func_decl * f, unsigned num, expr * const * ar
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not_e_sgn = m_bv_util.mk_bv_not(e_sgn);
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not_f_sgn = m_bv_util.mk_bv_not(f_sgn);
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not_sign_bv = m_bv_util.mk_bv_not(sign_bv);
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res_sgn_c1 = m.mk_app(bvfid, OP_BAND, not_e_sgn, e_sgn, sign_bv);
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res_sgn_c1 = m.mk_app(bvfid, OP_BAND, not_e_sgn, f_sgn, sign_bv);
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res_sgn_c2 = m.mk_app(bvfid, OP_BAND, e_sgn, not_f_sgn, not_sign_bv);
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res_sgn_c3 = m.mk_app(bvfid, OP_BAND, e_sgn, f_sgn);
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expr * res_sgn_or_args[3] = { res_sgn_c1, res_sgn_c2, res_sgn_c3 };
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res_sgn = m_bv_util.mk_bv_or(3, res_sgn_or_args);
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sticky_raw = m_bv_util.mk_extract(sbits-5, 0, sig_abs);
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sticky = m_bv_util.mk_zero_extend(sbits+3, m.mk_app(bvfid, OP_BREDOR, sticky_raw.get()));
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dbg_decouple("fpa2bv_fma_add_sum_sticky", sticky);
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@ -42,7 +42,7 @@ struct is_non_qffpa_predicate {
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ast_manager & m;
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float_util u;
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is_non_qffpa_predicate(ast_manager & _m) :m(_m), u(m) {}
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is_non_qffpa_predicate(ast_manager & _m) : m(_m), u(m) {}
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void operator()(var *) { throw found(); }
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@ -50,13 +50,15 @@ struct is_non_qffpa_predicate {
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void operator()(app * n) {
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sort * s = get_sort(n);
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if (!m.is_bool(s) && !(u.is_float(s) || u.is_rm(s)))
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if (!m.is_bool(s) && !u.is_float(s) && !u.is_rm(s))
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throw found();
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family_id fid = s->get_family_id();
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family_id fid = n->get_family_id();
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if (fid == m.get_basic_family_id())
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return;
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if (fid == u.get_family_id())
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return;
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if (is_uninterp_const(n))
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return;
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throw found();
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}
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@ -68,7 +70,7 @@ struct is_non_qffpabv_predicate {
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bv_util bu;
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float_util fu;
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is_non_qffpabv_predicate(ast_manager & _m) :m(_m), bu(m), fu(m) {}
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is_non_qffpabv_predicate(ast_manager & _m) : m(_m), bu(m), fu(m) {}
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void operator()(var *) { throw found(); }
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@ -76,13 +78,15 @@ struct is_non_qffpabv_predicate {
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void operator()(app * n) {
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sort * s = get_sort(n);
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if (!m.is_bool(s) && !(fu.is_float(s) || fu.is_rm(s) || bu.is_bv_sort(s)))
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if (!m.is_bool(s) && !fu.is_float(s) && !fu.is_rm(s) && !bu.is_bv_sort(s))
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throw found();
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family_id fid = s->get_family_id();
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family_id fid = n->get_family_id();
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if (fid == m.get_basic_family_id())
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return;
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if (fid == fu.get_family_id() || fid == bu.get_family_id())
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return;
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if (is_uninterp_const(n))
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return;
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throw found();
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}
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@ -22,20 +22,10 @@ Notes:
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#ifndef _SLS_COMPILATION_SETTINGS_H_
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#define _SLS_COMPILATION_SETTINGS_H_
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// which unsatisfied assertion is selected? only works with _FOCUS_ > 0
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// 0 = random, 1 = #moves, 2 = assertion with min score, 3 = assertion with max score
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#define _BFS_ 0
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// how many terms are considered for variable selection?
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// 0 = all terms (GSAT), 1 = only one top level assertion (WSAT), 2 = only one bottom level atom
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// 0 = all terms (GSAT), 1 = only one top level assertion (WSAT)
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#define _FOCUS_ 1
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// probability of choosing the same assertion again in the next step
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#define _PERC_STICKY_ 0
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// do we use dirty unit propagation to get rid of nested top level assertions?
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#define _DIRTY_UP_ 0
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// shall we use additive weighting scheme?
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#define _PAWS_ 5
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#define _PAWS_INIT_ 40
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@ -45,7 +35,7 @@ Notes:
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#define _RESTARTS_ 1
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// limit of moves/plateaus/seconds until first restart occurs
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#define _RESTART_LIMIT_ 100
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// 0 = initialize with all zero, 1 initialize with random value
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//// 0 = initialize with all zero, 1 initialize with random value
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#define _RESTART_INIT_ 0
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// 0 = even intervals, 1 = pseudo luby, 2 = real luby, 3 = armin, 4 = rapid, 5 = minisat
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#define _RESTART_SCHEME_ 1
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@ -58,13 +48,6 @@ Notes:
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// should score of conjunctions be calculated by average rather than max?
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#define _SCORE_AND_AVG_ 0
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// should score of discunctions be calculated by multiplication of the inverse score rather than min?
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#define _SCORE_OR_MUL_ 0
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// do we use some kind of variable neighbourhood-search?
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// 0 = no, 1 = only consider flipping bits if no better score can be obtained otherwise, 2 = only consider flipping bits until a better score can be obtained
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#define _VNS_ 0
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// shall we check 2-bit flips in plateaus using Monte Carlo?
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#define _VNS_MC_ 0
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|
@ -74,33 +57,13 @@ Notes:
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// shall we check another assertion if no improving step was found in the first one?
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#define _VNS_REPICK_ 0
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|
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// what is the probability of doing so (percentage)?
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#define _VNS_PERC_ 100
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|
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// do a decreasing move with percentage ...
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#define _INSIST_PERC_ 0
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|
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// do we reduce the score of unsatisfied literals?
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// 0 = no
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// 1 = yes, by multiplying it with some factor
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// 2 = yes, by squaring it
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// 3 = yes, by setting it to zero
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// 4 = by progessively increasing weight (_TIMELIMIT_ needs to be set appropriately!)
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// 0 = no, 1 = yes, by multiplying it with some factor
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#define _WEIGHT_DIST_ 1
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// the factor used for _WEIGHT_DIST_ = 1
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#define _WEIGHT_DIST_FACTOR_ 0.5
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|
||||
// shall we toggle the weight after each restart?
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#define _WEIGHT_TOGGLE_ 0
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|
||||
// do we use intensification steps in local minima? if so, how many?
|
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#define _INTENSIFICATION_ 0
|
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#define _INTENSIFICATION_TRIES_ 0
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|
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// what is the percentage of random moves in plateaus (instead of full randomization)?
|
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#define _PERC_PLATEAU_MOVES_ 0
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|
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// shall we repick assertion when randomizing in a plateau or use the current one?
|
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// 0 = use old one, 1 = repick according to usual scheme, 2 = repick randomly and force different one
|
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#define _REPICK_ 1
|
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|
@ -111,16 +74,6 @@ Notes:
|
|||
// how much diversification is used in the UCT-scheme?
|
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#define _UCT_CONSTANT_ 20.0
|
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|
||||
// is uct clause selection probabilistic similar to variable selection in sparrow?
|
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// 0 = no, 1 = yes, use uct-value, 2 = yes, use score-value (_UCT_CONSTANT_ = 0.0) with squared score
|
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#define _PROBABILISTIC_UCT_ 0
|
||||
|
||||
// additive constants for probabilistic uct > 0
|
||||
#define _UCT_EPS_ 0.0001
|
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|
||||
// shall we reset _UCT_ touched values after restart?
|
||||
#define _UCT_RESET_ 0
|
||||
|
||||
// how shall we initialize the _UCT_ total touched counter?
|
||||
// 0 = initialize with one, 1 = initialize with number of assertions
|
||||
#define _UCT_INIT_ 0
|
||||
|
@ -132,32 +85,8 @@ Notes:
|
|||
// shall we use addition/subtraction?
|
||||
#define _USE_ADDSUB_ 1
|
||||
|
||||
// shall we try multilication and division by 2?
|
||||
#define _USE_MUL2DIV2_ 0
|
||||
|
||||
// shall we try multiplication by 3?
|
||||
#define _USE_MUL3_ 0
|
||||
|
||||
// shall we try unary minus (= inverting and incrementing)
|
||||
#define _USE_UNARY_MINUS_ 0
|
||||
|
||||
// is random selection for assertions uniform? only works with _BFS_ = _UCT_ = 0
|
||||
#define _UNIFORM_RANDOM_ 0
|
||||
|
||||
// should we use unsat-structures as done in SLS 4 SAT instead for random or bfs selection?
|
||||
#define _REAL_RS_ 0
|
||||
#define _REAL_PBFS_ 0
|
||||
|
||||
// how many bits do we neglect in each iteration?
|
||||
#define _SKIP_BITS_ 0
|
||||
|
||||
// when randomizing local, what is the probability for changing a single bit?
|
||||
// 0 = use standard scheme and pick a new value at random (= 50), otherwise the value (as int) gives the percentage
|
||||
#define _PERC_CHANGE_ 0
|
||||
|
||||
// do we use random steps for noise?
|
||||
// 0 = no, 1 = randomize local, 2 = make random move
|
||||
#define _TYPE_RSTEP_ 0
|
||||
|
||||
// with what probability _PERM_STEP_/1000 will the random step happen?
|
||||
#define _PERM_RSTEP_ 0
|
||||
|
@ -168,20 +97,7 @@ Notes:
|
|||
// shall we use caching for top_score?
|
||||
#define _CACHE_TOP_SCORE_ 1
|
||||
|
||||
|
||||
#if ((_BFS_ > 0) + (_UCT_ > 0) + _UNIFORM_RANDOM_ + _REAL_RS_ + _REAL_PBFS_ > 1)
|
||||
InvalidConfiguration;
|
||||
#endif
|
||||
#if (_PROBABILISTIC_UCT_ && !_UCT_)
|
||||
InvalidConfiguration;
|
||||
#endif
|
||||
#if (_PERM_RSTEP_ && !_TYPE_RSTEP_)
|
||||
InvalidConfiguration;
|
||||
#endif
|
||||
#if (_PERC_CHANGE_ == 50)
|
||||
InvalidConfiguration;
|
||||
#endif
|
||||
#if (_PERC_STICKY_ && !_FOCUS_)
|
||||
#if ((_UCT_ > 0) + _REAL_RS_ > 1)
|
||||
InvalidConfiguration;
|
||||
#endif
|
||||
|
||||
|
|
File diff suppressed because it is too large
Load diff
|
@ -22,6 +22,7 @@ Notes:
|
|||
#include"stopwatch.h"
|
||||
#include"lbool.h"
|
||||
#include"model_converter.h"
|
||||
#include"goal.h"
|
||||
|
||||
#include"sls_compilation_settings.h"
|
||||
#include"sls_tracker.h"
|
||||
|
@ -35,17 +36,13 @@ public:
|
|||
stopwatch m_stopwatch;
|
||||
unsigned m_full_evals;
|
||||
unsigned m_incr_evals;
|
||||
unsigned m_moves, m_flips, m_incs, m_decs, m_invs, m_umins, m_mul2s, m_mul3s, m_div2s;
|
||||
unsigned m_moves, m_flips, m_incs, m_decs, m_invs;
|
||||
|
||||
stats() :
|
||||
m_restarts(0),
|
||||
m_full_evals(0),
|
||||
m_incr_evals(0),
|
||||
m_moves(0),
|
||||
m_umins(0),
|
||||
m_mul2s(0),
|
||||
m_mul3s(0),
|
||||
m_div2s(0),
|
||||
m_flips(0),
|
||||
m_incs(0),
|
||||
m_decs(0),
|
||||
|
@ -71,6 +68,7 @@ protected:
|
|||
bv_util m_bv_util;
|
||||
sls_tracker m_tracker;
|
||||
sls_evaluator m_evaluator;
|
||||
ptr_vector<expr> m_assertions;
|
||||
|
||||
unsigned m_restart_limit;
|
||||
unsigned m_max_restarts;
|
||||
|
@ -78,7 +76,7 @@ protected:
|
|||
|
||||
ptr_vector<mpz> m_old_values;
|
||||
|
||||
typedef enum { MV_FLIP = 0, MV_INC, MV_DEC, MV_INV, MV_UMIN, MV_MUL2, MV_MUL3, MV_DIV2 } move_type;
|
||||
typedef enum { MV_FLIP = 0, MV_INC, MV_DEC, MV_INV } move_type;
|
||||
|
||||
public:
|
||||
sls_engine(ast_manager & m, params_ref const & p);
|
||||
|
@ -92,78 +90,46 @@ public:
|
|||
|
||||
void updt_params(params_ref const & _p);
|
||||
|
||||
void assert_expr(expr * e) { m_assertions.push_back(e); }
|
||||
|
||||
stats const & get_stats(void) { return m_stats; }
|
||||
void reset_statistics(void) { m_stats.reset(); }
|
||||
|
||||
bool full_eval(goal_ref const & g, model & mdl);
|
||||
|
||||
bool full_eval(model & mdl);
|
||||
|
||||
void mk_add(unsigned bv_sz, const mpz & old_value, mpz & add_value, mpz & result);
|
||||
void mk_mul2(unsigned bv_sz, const mpz & old_value, mpz & result);
|
||||
void mk_div2(unsigned bv_sz, const mpz & old_value, mpz & result);
|
||||
void mk_inc(unsigned bv_sz, const mpz & old_value, mpz & incremented);
|
||||
void mk_dec(unsigned bv_sz, const mpz & old_value, mpz & decremented);
|
||||
void mk_inv(unsigned bv_sz, const mpz & old_value, mpz & inverted);
|
||||
void mk_flip(sort * s, const mpz & old_value, unsigned bit, mpz & flipped);
|
||||
void mk_flip(sort * s, const mpz & old_value, unsigned bit, mpz & flipped);
|
||||
|
||||
double find_best_move(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
|
||||
|
||||
double find_best_move_lsb(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
|
||||
|
||||
double find_best_move_mc(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value);
|
||||
|
||||
double find_best_move_local(expr * e, ptr_vector<func_decl> & to_evaluate,
|
||||
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
|
||||
|
||||
|
||||
|
||||
bool what_if(goal_ref const & g, expr * e, func_decl * fd, const mpz & temp,
|
||||
double & best_score, mpz & best_value, unsigned i);
|
||||
|
||||
double find_best_move_local(goal_ref const & g, expr * e, func_decl * fd, mpz & best_value, unsigned i);
|
||||
|
||||
|
||||
lbool search(goal_ref const & g);
|
||||
lbool search(void);
|
||||
|
||||
lbool operator()();
|
||||
void operator()(goal_ref const & g, model_converter_ref & mc);
|
||||
|
||||
protected:
|
||||
void checkpoint();
|
||||
lbool search_old(goal_ref const & g);
|
||||
double get_restart_armin(unsigned cnt_restarts);
|
||||
|
||||
bool what_if(goal_ref const & g, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
|
||||
bool what_if(func_decl * fd, const unsigned & fd_inx, const mpz & temp,
|
||||
double & best_score, unsigned & best_const, mpz & best_value);
|
||||
|
||||
bool what_if_new(goal_ref const & g, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
|
||||
double & best_score, unsigned & best_const, mpz & best_value);
|
||||
double incremental_score_prune_new(goal_ref const & g, func_decl * fd, const mpz & new_value);
|
||||
double top_score();
|
||||
double rescore();
|
||||
double serious_score(func_decl * fd, const mpz & new_value);
|
||||
double incremental_score(func_decl * fd, const mpz & new_value);
|
||||
|
||||
bool what_if_local(expr * e, func_decl * fd, const unsigned & fd_inx, const mpz & temp,
|
||||
double & best_score, unsigned & best_const, mpz & best_value);
|
||||
double incremental_score_prune(func_decl * fd, const mpz & new_value);
|
||||
double find_best_move(ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
|
||||
|
||||
double top_score(goal_ref const & g);
|
||||
double rescore(goal_ref const & g);
|
||||
double serious_score(goal_ref const & g, func_decl * fd, const mpz & new_value);
|
||||
double incremental_score(goal_ref const & g, func_decl * fd, const mpz & new_value);
|
||||
|
||||
#if _EARLY_PRUNE_
|
||||
double incremental_score_prune(goal_ref const & g, func_decl * fd, const mpz & new_value);
|
||||
#endif
|
||||
|
||||
double find_best_move_vns(goal_ref const & g, ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value, unsigned & new_bit, move_type & move);
|
||||
double find_best_move_mc(ptr_vector<func_decl> & to_evaluate, double score,
|
||||
unsigned & best_const, mpz & best_value);
|
||||
|
||||
void mk_random_move(ptr_vector<func_decl> & unsat_constants);
|
||||
void mk_random_move(goal_ref const & g);
|
||||
|
||||
bool handle_plateau(goal_ref const & g);
|
||||
bool handle_plateau(goal_ref const & g, double old_score);
|
||||
|
||||
inline unsigned check_restart(unsigned curr_value);
|
||||
};
|
||||
|
||||
#endif
|
||||
#endif
|
||||
|
|
|
@ -559,8 +559,7 @@ public:
|
|||
(*this)(to_app(cur), new_value);
|
||||
m_tracker.set_value(cur, new_value);
|
||||
|
||||
#if _REAL_RS_ || _REAL_PBFS_
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
#if _REAL_RS_
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
{
|
||||
if (m_mpz_manager.eq(new_value,m_one))
|
||||
|
@ -573,7 +572,6 @@ public:
|
|||
#if _EARLY_PRUNE_
|
||||
new_score = m_tracker.score(cur);
|
||||
#if _CACHE_TOP_SCORE_
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
#endif
|
||||
|
@ -582,7 +580,6 @@ public:
|
|||
#else
|
||||
#if _CACHE_TOP_SCORE_
|
||||
new_score = m_tracker.score(cur);
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
m_tracker.set_score(cur, new_score);
|
||||
|
@ -633,7 +630,6 @@ public:
|
|||
#if _EARLY_PRUNE_
|
||||
new_score = m_tracker.score(cur);
|
||||
#if _CACHE_TOP_SCORE_
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
#endif
|
||||
|
@ -642,7 +638,6 @@ public:
|
|||
#else
|
||||
#if _CACHE_TOP_SCORE_
|
||||
new_score = m_tracker.score(cur);
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
m_tracker.set_score(cur, new_score);
|
||||
|
@ -684,7 +679,7 @@ public:
|
|||
m_traversal_stack[cur_depth].push_back(ep);
|
||||
if (cur_depth > max_depth) max_depth = cur_depth;
|
||||
}
|
||||
#if _REAL_RS_ || _REAL_PBFS_ || _PAWS_
|
||||
#if _REAL_RS_ || _PAWS_
|
||||
run_serious_update(max_depth);
|
||||
#else
|
||||
run_update(max_depth);
|
||||
|
@ -728,7 +723,6 @@ public:
|
|||
|
||||
new_score = m_tracker.score(cur);
|
||||
#if _CACHE_TOP_SCORE_
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
#endif
|
||||
|
@ -736,10 +730,8 @@ public:
|
|||
m_tracker.set_score(cur, new_score);
|
||||
|
||||
if ((new_score > prune_score) && (m_tracker.has_pos_occ(cur)))
|
||||
//if ((new_score >= prune_score) && (m_tracker.has_pos_occ(cur)))
|
||||
pot_benefits = 1;
|
||||
if ((new_score <= prune_score) && (m_tracker.has_neg_occ(cur)))
|
||||
//if ((new_score < prune_score) && (m_tracker.has_neg_occ(cur)))
|
||||
pot_benefits = 1;
|
||||
|
||||
if (m_tracker.has_uplinks(cur)) {
|
||||
|
@ -772,7 +764,6 @@ public:
|
|||
|
||||
#if _CACHE_TOP_SCORE_
|
||||
new_score = m_tracker.score(cur);
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
m_tracker.set_score(cur, new_score);
|
||||
|
@ -874,7 +865,6 @@ public:
|
|||
expr * cur = cur_depth_exprs[i];
|
||||
|
||||
new_score = m_tracker.score(cur);
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
prune_score = m_tracker.get_score_prune(cur);
|
||||
|
@ -914,7 +904,6 @@ public:
|
|||
expr * cur = cur_depth_exprs[i];
|
||||
|
||||
new_score = m_tracker.score(cur);
|
||||
//if (!m_tracker.has_uplinks(cur))
|
||||
if (m_tracker.is_top_expr(cur))
|
||||
m_tracker.adapt_top_sum(cur, new_score, m_tracker.get_score(cur));
|
||||
m_tracker.set_score(cur, new_score);
|
||||
|
@ -960,60 +949,19 @@ public:
|
|||
}
|
||||
|
||||
void randomize_local(ptr_vector<func_decl> & unsat_constants) {
|
||||
// Randomize _all_ candidates:
|
||||
|
||||
//// bool did_something = false;
|
||||
//for (unsigned i = 0; i < unsat_constants.size(); i++) {
|
||||
// func_decl * fd = unsat_constants[i];
|
||||
// mpz temp = m_tracker.get_random(fd->get_range());
|
||||
// // if (m_mpz_manager.neq(temp, m_tracker.get_value(fd))) {
|
||||
// // did_something = true;
|
||||
// // }
|
||||
// update(fd, temp);
|
||||
// m_mpz_manager.del(temp);
|
||||
//}
|
||||
|
||||
// Randomize _one_ candidate:
|
||||
unsigned r = m_tracker.get_random_uint(16) % unsat_constants.size();
|
||||
func_decl * fd = unsat_constants[r];
|
||||
#if _PERC_CHANGE_
|
||||
sort * srt = fd->get_range();
|
||||
mpz temp;
|
||||
|
||||
if (m_manager.is_bool(srt))
|
||||
m_mpz_manager.set(temp, (m_mpz_manager.is_zero(m_tracker.get_value(fd))) ? m_one : m_zero);
|
||||
else
|
||||
{
|
||||
mpz temp2, mask;
|
||||
unsigned bv_sz = m_bv_util.get_bv_size(srt);
|
||||
m_mpz_manager.set(temp, m_tracker.get_value(fd));
|
||||
|
||||
for (unsigned bit = 0; bit < bv_sz; bit++)
|
||||
if (m_tracker.get_random_uint(16) % 100 < _PERC_CHANGE_)
|
||||
{
|
||||
m_mpz_manager.set(mask, m_powers(bit));
|
||||
m_mpz_manager.bitwise_xor(temp, mask, temp2);
|
||||
m_mpz_manager.set(temp, temp2);
|
||||
}
|
||||
m_mpz_manager.del(mask);
|
||||
m_mpz_manager.del(temp2);
|
||||
}
|
||||
#else
|
||||
mpz temp = m_tracker.get_random(fd->get_range());
|
||||
#endif
|
||||
|
||||
#if _REAL_RS_ || _REAL_PBFS_ || _PAWS_
|
||||
#if _REAL_RS_ || _PAWS_
|
||||
serious_update(fd, temp);
|
||||
#else
|
||||
update(fd, temp);
|
||||
#endif
|
||||
m_mpz_manager.del(temp);
|
||||
|
||||
TRACE("sls", /*tout << "Randomization candidates: ";
|
||||
for (unsigned i = 0; i < unsat_constants.size(); i++)
|
||||
tout << unsat_constants[i]->get_name() << ", ";
|
||||
tout << std::endl;*/
|
||||
tout << "Randomization candidate: " << unsat_constants[r]->get_name() << std::endl;
|
||||
TRACE("sls", tout << "Randomization candidate: " << unsat_constants[r]->get_name() << std::endl;
|
||||
tout << "Locally randomized model: " << std::endl;
|
||||
m_tracker.show_model(tout); );
|
||||
|
||||
|
@ -1023,36 +971,9 @@ public:
|
|||
randomize_local(m_tracker.get_constants(e));
|
||||
}
|
||||
|
||||
void randomize_local(goal_ref const & g, unsigned int flip) {
|
||||
randomize_local(m_tracker.get_unsat_constants(g, flip));
|
||||
void randomize_local(ptr_vector<expr> const & as) {
|
||||
randomize_local(m_tracker.get_unsat_constants(as));
|
||||
}
|
||||
|
||||
void randomize_local_n(goal_ref const & g, ptr_vector<func_decl> & unsat_constants) {
|
||||
unsigned r = m_tracker.get_random_uint(16) % unsat_constants.size();
|
||||
func_decl * fd = unsat_constants[r];
|
||||
sort * srt = fd->get_range();
|
||||
unsigned bv_sz = m_manager.is_bool(srt) ? 1 : m_bv_util.get_bv_size(srt);
|
||||
mpz max_val = m_tracker.get_random(srt);
|
||||
update(fd, max_val);
|
||||
double max_score = m_tracker.get_top_sum() / g->size();
|
||||
mpz temp_val;
|
||||
double temp_score;
|
||||
for (unsigned i = 1; i < 2; i++)
|
||||
//for (unsigned i = 1; i < bv_sz; i++)
|
||||
{
|
||||
m_mpz_manager.set(temp_val, m_tracker.get_random(srt));
|
||||
update(fd, temp_val);
|
||||
temp_score = m_tracker.get_top_sum() / g->size();
|
||||
if (temp_score > max_score)
|
||||
{
|
||||
m_mpz_manager.set(max_val, temp_val);
|
||||
max_score = temp_score;
|
||||
}
|
||||
}
|
||||
update(fd, max_val);
|
||||
m_mpz_manager.del(temp_val);
|
||||
m_mpz_manager.del(max_val);
|
||||
}
|
||||
};
|
||||
|
||||
#endif
|
File diff suppressed because it is too large
Load diff
|
@ -28,8 +28,6 @@ Notes:
|
|||
#include"bv_size_reduction_tactic.h"
|
||||
#include"aig_tactic.h"
|
||||
#include"sat_tactic.h"
|
||||
//#include"nnf_tactic.h"
|
||||
//#include"sls_tactic.h"
|
||||
|
||||
#define MEMLIMIT 300
|
||||
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue