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https://github.com/Z3Prover/z3
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457 lines
17 KiB
C++
457 lines
17 KiB
C++
/*++
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Copyright (c) 2006 Microsoft Corporation
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Module Name:
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smt_consequences.cpp
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Abstract:
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Tuned consequence finding for smt_context.
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Author:
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nbjorner 2016-07-28.
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Revision History:
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--*/
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#include "smt_context.h"
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#include "ast_util.h"
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#include "datatype_decl_plugin.h"
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#include "model_pp.h"
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#include "max_cliques.h"
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#include "stopwatch.h"
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namespace smt {
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expr_ref context::antecedent2fml(index_set const& vars) {
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expr_ref_vector premises(m_manager);
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index_set::iterator it = vars.begin(), end = vars.end();
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for (; it != end; ++it) {
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expr* e = bool_var2expr(*it);
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premises.push_back(get_assignment(*it) != l_false ? e : m_manager.mk_not(e));
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}
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return mk_and(premises);
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}
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//
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// The literal lit is assigned at the search level, so it follows from the assumptions.
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// We retrieve the set of assumptions it depends on in the set 's'.
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// The map m_antecedents contains the association from these literals to the assumptions they depend on.
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// We then examine the contents of the literal lit and augment the set of consequences in one of the following cases:
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// - e is a propositional atom and it is one of the variables that is to be fixed.
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// - e is an equality between a variable and value that is to be fixed.
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// - e is a data-type recognizer of a variable that is to be fixed.
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//
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void context::extract_fixed_consequences(literal lit, obj_map<expr, expr*>& vars, index_set const& assumptions, expr_ref_vector& conseq) {
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ast_manager& m = m_manager;
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datatype_util dt(m);
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expr* e1, *e2;
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expr_ref fml(m);
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if (lit == true_literal) return;
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expr* e = bool_var2expr(lit.var());
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index_set s;
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if (assumptions.contains(lit.var())) {
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s.insert(lit.var());
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}
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else {
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b_justification js = get_justification(lit.var());
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switch (js.get_kind()) {
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case b_justification::CLAUSE: {
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clause * cls = js.get_clause();
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if (!cls) break;
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unsigned num_lits = cls->get_num_literals();
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for (unsigned j = 0; j < num_lits; ++j) {
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literal lit2 = cls->get_literal(j);
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if (lit2.var() != lit.var()) {
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s |= m_antecedents.find(lit2.var());
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}
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}
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break;
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}
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case b_justification::BIN_CLAUSE: {
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s |= m_antecedents.find(js.get_literal().var());
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break;
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}
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case b_justification::AXIOM: {
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break;
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}
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case b_justification::JUSTIFICATION: {
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literal_vector literals;
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m_conflict_resolution->justification2literals(js.get_justification(), literals);
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for (unsigned j = 0; j < literals.size(); ++j) {
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s |= m_antecedents.find(literals[j].var());
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}
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break;
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}
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}
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}
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m_antecedents.insert(lit.var(), s);
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TRACE("context", display_literal_verbose(tout, lit);
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for (index_set::iterator it = s.begin(), end = s.end(); it != end; ++it) {
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tout << " " << *it;
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}
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tout << "\n";);
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bool found = false;
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if (vars.contains(e)) {
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found = true;
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fml = lit.sign() ? m.mk_not(e) : e;
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vars.erase(e);
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}
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else if (!lit.sign() && m.is_eq(e, e1, e2)) {
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if (vars.contains(e2)) {
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std::swap(e1, e2);
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}
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if (vars.contains(e1) && m.is_value(e2)) {
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found = true;
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fml = e;
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vars.erase(e1);
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}
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}
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else if (!lit.sign() && is_app(e) && dt.is_recognizer(to_app(e)->get_decl())) {
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if (vars.contains(to_app(e)->get_arg(0))) {
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found = true;
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fml = m.mk_eq(to_app(e)->get_arg(0), m.mk_const(dt.get_recognizer_constructor(to_app(e)->get_decl())));
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vars.erase(to_app(e)->get_arg(0));
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}
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}
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if (found) {
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fml = m.mk_implies(antecedent2fml(s), fml);
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conseq.push_back(fml);
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}
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}
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void context::extract_fixed_consequences(unsigned& start, obj_map<expr, expr*>& vars, index_set const& assumptions, expr_ref_vector& conseq) {
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pop_to_search_lvl();
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SASSERT(!inconsistent());
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literal_vector const& lits = assigned_literals();
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unsigned sz = lits.size();
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for (unsigned i = start; i < sz; ++i) {
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extract_fixed_consequences(lits[i], vars, assumptions, conseq);
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}
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start = sz;
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SASSERT(!inconsistent());
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}
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//
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// The assignment stack is assumed consistent.
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// For each Boolean variable, we check if there is a literal assigned to the
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// opposite value of the reference model, and for non-Boolean variables we
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// check if the current state forces the variable to be distinct from the reference value.
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//
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// For yet to be determined Boolean variables we furthermore force the phase to be opposite
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// to the reference value in the attempt to let the sat engine emerge with a model that
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// rules out as many non-fixed variables as possible.
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//
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unsigned context::delete_unfixed(obj_map<expr, expr*>& var2val, expr_ref_vector& unfixed) {
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ast_manager& m = m_manager;
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ptr_vector<expr> to_delete;
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obj_map<expr,expr*>::iterator it = var2val.begin(), end = var2val.end();
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for (; it != end; ++it) {
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expr* k = it->m_key;
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expr* v = it->m_value;
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if (m.is_bool(k)) {
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literal lit = get_literal(k);
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switch (get_assignment(lit)) {
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case l_true:
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if (m.is_false(v)) {
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to_delete.push_back(k);
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}
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else {
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force_phase(lit.var(), false);
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}
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break;
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case l_false:
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if (m.is_true(v)) {
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to_delete.push_back(k);
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}
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else {
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force_phase(lit.var(), true);
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}
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break;
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default:
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to_delete.push_back(k);
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break;
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}
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}
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else if (e_internalized(k) && m.are_distinct(v, get_enode(k)->get_root()->get_owner())) {
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to_delete.push_back(k);
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}
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else if (get_assignment(mk_diseq(k, v)) == l_true) {
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to_delete.push_back(k);
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}
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}
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for (unsigned i = 0; i < to_delete.size(); ++i) {
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var2val.remove(to_delete[i]);
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unfixed.push_back(to_delete[i]);
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}
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return to_delete.size();
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}
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#define are_equal(v, k) (e_internalized(k) && e_internalized(v) && get_enode(k)->get_root() == get_enode(v)->get_root())
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//
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// Extract equalities that are congruent at the search level.
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// Add a clause to short-circuit the congruence justifications for
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// next rounds.
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//
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unsigned context::extract_fixed_eqs(obj_map<expr, expr*>& var2val, expr_ref_vector& conseq) {
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TRACE("context", tout << "extract fixed consequences\n";);
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ast_manager& m = m_manager;
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ptr_vector<expr> to_delete;
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expr_ref fml(m), eq(m);
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obj_map<expr,expr*>::iterator it = var2val.begin(), end = var2val.end();
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for (; it != end; ++it) {
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expr* k = it->m_key;
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expr* v = it->m_value;
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if (!m.is_bool(k) && are_equal(k, v)) {
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literal_vector literals;
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m_conflict_resolution->eq2literals(get_enode(v), get_enode(k), literals);
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index_set s;
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for (unsigned i = 0; i < literals.size(); ++i) {
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SASSERT(get_assign_level(literals[i]) <= get_search_level());
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s |= m_antecedents.find(literals[i].var());
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}
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fml = m.mk_eq(k, v);
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fml = m.mk_implies(antecedent2fml(s), fml);
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conseq.push_back(fml);
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to_delete.push_back(k);
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for (unsigned i = 0; i < literals.size(); ++i) {
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literals[i].neg();
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}
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literal lit = mk_diseq(k, v);
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literals.push_back(lit);
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mk_clause(literals.size(), literals.c_ptr(), 0);
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TRACE("context", display_literals_verbose(tout, literals.size(), literals.c_ptr()););
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}
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}
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for (unsigned i = 0; i < to_delete.size(); ++i) {
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var2val.remove(to_delete[i]);
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}
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return to_delete.size();
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}
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literal context::mk_diseq(expr* e, expr* val) {
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ast_manager& m = m_manager;
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if (m.is_bool(e)) {
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return literal(get_bool_var(e), m.is_true(val));
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}
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else {
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expr_ref eq(mk_eq_atom(e, val), m);
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internalize_formula(eq, false);
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return literal(get_bool_var(eq), true);
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}
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}
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lbool context::get_consequences(expr_ref_vector const& assumptions,
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expr_ref_vector const& vars,
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expr_ref_vector& conseq,
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expr_ref_vector& unfixed) {
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m_antecedents.reset();
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pop_to_base_lvl();
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lbool is_sat = check(assumptions.size(), assumptions.c_ptr());
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if (is_sat != l_true) {
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TRACE("context", tout << is_sat << "\n";);
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return is_sat;
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}
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obj_map<expr, expr*> var2val;
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index_set _assumptions;
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for (unsigned i = 0; i < assumptions.size(); ++i) {
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_assumptions.insert(get_literal(assumptions[i]).var());
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}
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model_ref mdl;
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get_model(mdl);
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ast_manager& m = m_manager;
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expr_ref_vector trail(m);
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model_evaluator eval(*mdl.get());
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expr_ref val(m);
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TRACE("context", model_pp(tout, *mdl););
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for (unsigned i = 0; i < vars.size(); ++i) {
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eval(vars[i], val);
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if (m.is_value(val)) {
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trail.push_back(val);
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var2val.insert(vars[i], val);
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}
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else {
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unfixed.push_back(vars[i]);
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}
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}
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unsigned num_units = 0;
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extract_fixed_consequences(num_units, var2val, _assumptions, conseq);
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app_ref eq(m);
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TRACE("context",
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tout << "vars: " << vars.size() << "\n";
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tout << "lits: " << num_units << "\n";);
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m_case_split_queue->init_search_eh();
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unsigned num_iterations = 0;
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unsigned num_fixed_eqs = 0;
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unsigned chunk_size = 100;
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while (!var2val.empty()) {
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obj_map<expr,expr*>::iterator it = var2val.begin(), end = var2val.end();
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unsigned num_vars = 0;
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for (; it != end && num_vars < chunk_size; ++it) {
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if (get_cancel_flag()) {
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return l_undef;
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}
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expr* e = it->m_key;
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expr* val = it->m_value;
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literal lit = mk_diseq(e, val);
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mark_as_relevant(lit);
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if (get_assignment(lit) != l_undef) {
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continue;
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}
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++num_vars;
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push_scope();
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assign(lit, b_justification::mk_axiom(), true);
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if (!propagate()) {
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if (!resolve_conflict() || inconsistent()) {
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TRACE("context", tout << "inconsistent\n";);
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SASSERT(inconsistent());
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m_conflict = null_b_justification;
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m_not_l = null_literal;
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SASSERT(m_search_lvl == get_search_level());
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}
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}
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}
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SASSERT(!inconsistent());
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++num_iterations;
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lbool is_sat = l_undef;
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while (true) {
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is_sat = bounded_search();
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if (is_sat != l_true && m_last_search_failure != OK) {
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return is_sat;
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}
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if (is_sat == l_undef) {
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IF_VERBOSE(1, verbose_stream() << "(get-consequences inc-limits)\n";);
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inc_limits();
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continue;
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}
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break;
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}
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if (is_sat == l_false) {
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SASSERT(inconsistent());
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m_conflict = null_b_justification;
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m_not_l = null_literal;
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}
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if (is_sat == l_true) {
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delete_unfixed(var2val, unfixed);
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}
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extract_fixed_consequences(num_units, var2val, _assumptions, conseq);
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num_fixed_eqs += extract_fixed_eqs(var2val, conseq);
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IF_VERBOSE(1, display_consequence_progress(verbose_stream(), num_iterations, var2val.size(), conseq.size(),
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unfixed.size(), num_fixed_eqs););
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TRACE("context", display_consequence_progress(tout, num_iterations, var2val.size(), conseq.size(),
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unfixed.size(), num_fixed_eqs););
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}
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end_search();
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DEBUG_CODE(validate_consequences(assumptions, vars, conseq, unfixed););
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return l_true;
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}
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void context::display_consequence_progress(std::ostream& out, unsigned it, unsigned nv, unsigned fixed, unsigned unfixed, unsigned eq) {
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out << "(get-consequences"
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<< " iterations: " << it
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<< " variables: " << nv
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<< " fixed: " << fixed
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<< " unfixed: " << unfixed
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<< " fixed-eqs: " << eq
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<< ")\n";
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}
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struct neg_literal {
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unsigned negate(unsigned i) {
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return (~to_literal(i)).index();
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}
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};
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lbool context::find_mutexes(expr_ref_vector const& vars, vector<expr_ref_vector>& mutexes) {
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unsigned_vector ps;
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max_cliques<neg_literal> mc;
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expr_ref lit(m_manager);
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for (unsigned i = 0; i < vars.size(); ++i) {
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expr* n = vars[i];
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bool neg = m_manager.is_not(n, n);
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if (b_internalized(n)) {
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ps.push_back(literal(get_bool_var(n), neg).index());
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}
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}
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for (unsigned i = 0; i < m_watches.size(); ++i) {
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watch_list & w = m_watches[i];
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for (literal const* it = w.begin_literals(), *end = w.end_literals(); it != end; ++it) {
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unsigned idx1 = (~to_literal(i)).index();
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unsigned idx2 = it->index();
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if (idx1 < idx2) {
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mc.add_edge(idx1, idx2);
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}
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}
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}
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vector<unsigned_vector> _mutexes;
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mc.cliques(ps, _mutexes);
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for (unsigned i = 0; i < _mutexes.size(); ++i) {
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expr_ref_vector lits(m_manager);
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for (unsigned j = 0; j < _mutexes[i].size(); ++j) {
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literal2expr(to_literal(_mutexes[i][j]), lit);
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lits.push_back(lit);
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}
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mutexes.push_back(lits);
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}
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return l_true;
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}
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//
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// Validate, in a slow pass, that the current consequences are correctly
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// extracted.
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//
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void context::validate_consequences(expr_ref_vector const& assumptions, expr_ref_vector const& vars,
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expr_ref_vector const& conseq, expr_ref_vector const& unfixed) {
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ast_manager& m = m_manager;
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expr_ref tmp(m);
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SASSERT(!inconsistent());
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for (unsigned i = 0; i < conseq.size(); ++i) {
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push();
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for (unsigned j = 0; j < assumptions.size(); ++j) {
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assert_expr(assumptions[j]);
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}
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TRACE("context", tout << "checking: " << mk_pp(conseq[i], m) << "\n";);
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tmp = m.mk_not(conseq[i]);
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assert_expr(tmp);
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lbool is_sat = check();
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SASSERT(is_sat != l_true);
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pop(1);
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}
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model_ref mdl;
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for (unsigned i = 0; i < unfixed.size(); ++i) {
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push();
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for (unsigned j = 0; j < assumptions.size(); ++j) {
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assert_expr(assumptions[j]);
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}
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TRACE("context", tout << "checking unfixed: " << mk_pp(unfixed[i], m) << "\n";);
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lbool is_sat = check();
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SASSERT(is_sat != l_false);
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if (is_sat == l_true) {
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get_model(mdl);
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mdl->eval(unfixed[i], tmp);
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if (m.is_value(tmp)) {
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tmp = m.mk_not(m.mk_eq(unfixed[i], tmp));
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assert_expr(tmp);
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is_sat = check();
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SASSERT(is_sat != l_false);
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}
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}
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pop(1);
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}
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}
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}
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