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https://github.com/Z3Prover/z3
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finish (inefficient) BMC for non-linear Horn
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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@ -40,11 +40,10 @@ namespace datalog {
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m_query_pred(m),
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m_answer(m),
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m_path_sort(m) {
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m_fparams.m_relevancy_lvl = 0;
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m_fparams.m_model = true;
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m_fparams.m_model_compact = true;
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m_fparams.m_mbqi = false;
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m_fparams.m_auto_config = false;
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m_fparams.m_model = true;
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m_fparams.m_model_compact = true;
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m_fparams.m_mbqi = false;
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// m_fparams.m_auto_config = false;
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}
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bmc::~bmc() {}
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@ -99,9 +98,8 @@ namespace datalog {
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return check_linear();
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}
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else {
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IF_VERBOSE(0, verbose_stream() << "WARNING: non-linear BMC is highly inefficient\n";);
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return check_nonlinear();
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IF_VERBOSE(1, verbose_stream() << "non-linear BMC is not supported\n";);
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return l_undef;
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}
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}
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@ -213,6 +211,7 @@ namespace datalog {
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lbool bmc::check_linear() {
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m_fparams.m_relevancy_lvl = 0;
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for (unsigned i = 0; ; ++i) {
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IF_VERBOSE(1, verbose_stream() << "level: " << i << "\n";);
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checkpoint();
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@ -365,6 +364,7 @@ namespace datalog {
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lbool bmc::check_nonlinear() {
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m_fparams.m_relevancy_lvl = 2;
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declare_datatypes();
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compile_nonlinear();
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return check_query();
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@ -702,28 +702,51 @@ namespace datalog {
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func_decl_ref q = mk_predicate(m_query_pred);
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expr_ref trace(m), path(m);
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trace = m.mk_const(symbol("trace"), trace_sort);
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path = m.mk_const(symbol("path"),m_path_sort);
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path = m.mk_const(symbol("path"), m_path_sort);
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assert_expr(m.mk_app(q, trace.get(), path.get()));
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lbool is_sat = m_solver.check();
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if (is_sat == l_undef) {
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while (true) {
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lbool is_sat = m_solver.check();
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model_ref md;
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proof_ref pr(m);
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m_solver.get_model(md);
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IF_VERBOSE(2, model_smt2_pp(verbose_stream(), m, *md, 0););
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md->eval(trace, trace);
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md->eval(path, path);
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IF_VERBOSE(2, verbose_stream() << mk_pp(trace, m) << "\n";);
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ast_smt_pp pp(m);
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for (unsigned i = 0; i < m_solver.size(); ++i) {
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pp.add_assumption(m_solver.get_formulas()[i]);
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if (is_sat == l_false) {
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return is_sat;
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}
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IF_VERBOSE(2, pp.display_smt2(verbose_stream(), m.mk_true()); verbose_stream() << "\n";);
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m_answer = get_proof(md, to_app(trace), to_app(path));
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is_sat = l_true;
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m_solver.get_model(md);
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mk_answer_nonlinear(md, trace, path);
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return l_true;
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}
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return is_sat;
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}
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bool bmc::check_model_nonlinear(model_ref& md, expr* trace) {
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expr_ref trace_val(m), eq(m);
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md->eval(trace, trace_val);
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eq = m.mk_eq(trace, trace_val);
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m_solver.push();
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m_solver.assert_expr(eq);
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lbool is_sat = m_solver.check();
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if (is_sat != l_false) {
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m_solver.get_model(md);
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}
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m_solver.pop(1);
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if (is_sat == l_false) {
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IF_VERBOSE(1, verbose_stream() << "infeasible trace " << mk_pp(trace_val, m) << "\n";);
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m_solver.assert_expr(m.mk_not(eq));
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}
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return is_sat != l_false;
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}
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void bmc::mk_answer_nonlinear(model_ref& md, expr_ref& trace, expr_ref& path) {
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proof_ref pr(m);
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IF_VERBOSE(2, model_smt2_pp(verbose_stream(), m, *md, 0););
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md->eval(trace, trace);
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md->eval(path, path);
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IF_VERBOSE(2, verbose_stream() << mk_pp(trace, m) << "\n";
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for (unsigned i = 0; i < m_solver.size(); ++i) {
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verbose_stream() << mk_pp(m_solver.get_formulas()[i], m) << "\n";
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});
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m_answer = get_proof(md, to_app(trace), to_app(path));
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}
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void bmc::checkpoint() {
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if (m_cancel) {
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throw default_exception("bmc canceled");
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@ -741,23 +764,15 @@ namespace datalog {
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}
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void bmc::display_certificate(std::ostream& out) const {
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out << mk_pp(m_answer, m) << "\n";
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}
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void bmc::collect_statistics(statistics& st) const {
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m_solver.collect_statistics(st);
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}
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expr_ref bmc::get_answer() {
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return m_answer;
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}
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void bmc::collect_params(param_descrs& p) {
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}
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void bmc::updt_params() {
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}
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};
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@ -66,6 +66,10 @@ namespace datalog {
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bool is_linear() const;
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lbool check_nonlinear();
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bool check_model_nonlinear(model_ref& md, expr* trace);
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void mk_answer_nonlinear(model_ref& md, expr_ref& trace, expr_ref& path);
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func_decl_ref mk_predicate(func_decl* p);
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@ -115,9 +119,6 @@ namespace datalog {
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expr_ref get_answer();
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static void collect_params(param_descrs& p);
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void updt_params();
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};
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};
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@ -386,6 +386,7 @@ namespace pdr {
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tout << "is-reachable: " << head()->get_name() << " level: " << n.level() << "\n";
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tout << mk_pp(n.state(), m) << "\n";);
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ensure_level(n.level());
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model_ref model;
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prop_solver::scoped_level _sl(m_solver, n.level());
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m_solver.set_core(core);
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m_solver.set_model(&model);
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