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https://github.com/Z3Prover/z3
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This commit is contained in:
Christoph M. Wintersteiger
parent
948a1e600e
commit
9fef51553c
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@ -23,9 +23,9 @@ Revision History:
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namespace smt {
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template<typename Ext>
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template<typename Ext>
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expr * theory_arith<Ext>::mk_nary_mul(unsigned sz, expr * const * args, bool is_int) {
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if (sz == 0)
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if (sz == 0)
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return m_util.mk_numeral(rational(1), is_int);
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if (sz == 1)
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return args[0];
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@ -36,21 +36,21 @@ namespace smt {
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return m_util.mk_mul(sz, args);
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}
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template<typename Ext>
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template<typename Ext>
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expr * theory_arith<Ext>::mk_nary_add(unsigned sz, expr * const * args, bool is_int) {
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if (sz == 0)
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if (sz == 0)
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return m_util.mk_numeral(rational(0), is_int);
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if (sz == 1)
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return args[0];
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return m_util.mk_add(sz, args);
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}
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template<typename Ext>
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template<typename Ext>
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expr * theory_arith<Ext>::mk_nary_add(unsigned sz, expr * const * args) {
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SASSERT(sz != 0);
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return mk_nary_add(sz, args, false);
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}
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/**
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\brief Insert v into vars and already_found if v is not already in already_found.
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*/
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@ -92,21 +92,21 @@ namespace smt {
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theory_var s = r.get_base_var();
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// ignore quasi base vars... actually they should not be used if the problem is non linear...
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if (is_quasi_base(s))
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continue;
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continue;
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// If s is a base variable different from v and it is free, then this row can be ignored.
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// It doesn't need to be part of the non linear cluster. For all purposes, this variable
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// was eliminated by substitution.
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if (is_free(s) && s != v)
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continue;
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continue;
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typename vector<row_entry>::const_iterator it2 = r.begin_entries();
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typename vector<row_entry>::const_iterator end2 = r.end_entries();
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for (; it2 != end2; ++it2) {
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if (!it2->is_dead() && !is_fixed(it2->m_var))
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for (; it2 != end2; ++it2) {
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if (!it2->is_dead() && !is_fixed(it2->m_var))
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mark_var(it2->m_var, vars, already_found);
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}
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}
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}
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/**
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\brief Store in vars the variables that are in the non linear cluster of constraints,
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and are not satisfied by the current assignment.
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@ -123,7 +123,7 @@ namespace smt {
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for (; it != end; ++it) {
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theory_var v = *it;
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expr * n = var2expr(v);
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if (ctx.is_relevant(n))
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if (ctx.is_relevant(n))
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mark_var(v, vars, already_found);
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}
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for (unsigned idx = 0; idx < vars.size(); idx++) {
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@ -134,7 +134,7 @@ namespace smt {
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svector<theory_var>::const_iterator it = vars.begin();
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svector<theory_var>::const_iterator end = vars.end();
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for (; it != end; ++it) tout << "v" << *it << " ";
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tout << "\n";);
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tout << "\n";);
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}
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/**
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@ -148,7 +148,7 @@ namespace smt {
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\remark if a variables has an even number of occurrences, then
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I consider that it has a bound associated with it.
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Examples:
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1) Assume x1, x4 have bounds:
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analyze_monomial(x1 * x2 * x2 * x3 * x3 * x3 * x4)
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@ -168,24 +168,24 @@ namespace smt {
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int idx = 0;
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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if (var == 0) {
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var = arg;
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power = 1;
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}
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else if (arg == var) {
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power++;
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}
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else {
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if (power % 2 == 1 && is_free(var)) {
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c++;
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free_var_idx = idx;
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if (c > 1)
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return std::make_pair(2, free_var_idx);
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}
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var = arg;
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power = 1;
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idx++;
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}
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if (var == 0) {
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var = arg;
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power = 1;
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}
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else if (arg == var) {
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power++;
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}
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else {
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if (power % 2 == 1 && is_free(var)) {
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c++;
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free_var_idx = idx;
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if (c > 1)
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return std::make_pair(2, free_var_idx);
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}
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var = arg;
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power = 1;
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idx++;
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}
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}
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if (power % 2 == 1 && is_free(var)) {
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c++;
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@ -257,17 +257,17 @@ namespace smt {
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unsigned j;
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for (j = 0; j < to_app(m)->get_num_args(); j++) {
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expr * arg = to_app(m)->get_arg(j);
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if (var == 0) {
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var = arg;
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power = 1;
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}
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else if (var == arg) {
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power++;
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}
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else {
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if (curr_idx == i)
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return var_power_pair(var, power);
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curr_idx++;
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if (var == 0) {
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var = arg;
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power = 1;
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}
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else if (var == arg) {
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power++;
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}
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else {
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if (curr_idx == i)
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return var_power_pair(var, power);
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curr_idx++;
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var = arg;
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power = 1;
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}
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@ -289,24 +289,24 @@ namespace smt {
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bound * l = lower(v);
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bound * u = upper(v);
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if (l && u) {
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return interval(m_dep_manager,
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l->get_value().get_rational().to_rational(),
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return interval(m_dep_manager,
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l->get_value().get_rational().to_rational(),
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!l->get_value().get_infinitesimal().to_rational().is_zero(),
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m_dep_manager.mk_leaf(l),
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u->get_value().get_rational().to_rational(),
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u->get_value().get_rational().to_rational(),
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!u->get_value().get_infinitesimal().to_rational().is_zero(),
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m_dep_manager.mk_leaf(u));
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}
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else if (l) {
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return interval(m_dep_manager,
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l->get_value().get_rational().to_rational(),
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l->get_value().get_rational().to_rational(),
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!l->get_value().get_infinitesimal().to_rational().is_zero(),
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true,
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m_dep_manager.mk_leaf(l));
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}
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else if (u) {
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return interval(m_dep_manager,
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u->get_value().get_rational().to_rational(),
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u->get_value().get_rational().to_rational(),
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!u->get_value().get_infinitesimal().to_rational().is_zero(),
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false,
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m_dep_manager.mk_leaf(u));
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@ -333,12 +333,12 @@ namespace smt {
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void theory_arith<Ext>::mul_bound_of(expr * var, unsigned power, interval & target) {
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theory_var v = expr2var(var);
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interval i = mk_interval_for(v);
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TRACE("non_linear",
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TRACE("non_linear",
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display_interval(tout << "bound: ",i); tout << i << "\n";
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tout << mk_pp(var, get_manager()) << "\n";
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tout << "power " << power << ": " << expt(i, power) << "\n";
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display_interval(tout << "target before: ", target); tout << "\n";);
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display_interval(tout << "target before: ", target); tout << "\n";);
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i.expt(power);
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target *= i;
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TRACE("non_linear", display_interval(tout << "target after: ", target); tout << "\n";);
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@ -348,7 +348,7 @@ namespace smt {
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\brief Evaluate the given expression using interval arithmetic.
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- If a subexpression is internalized, then mk_interval_for is used to
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compute its interval.
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compute its interval.
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- Only +, *, and numerals are handled.
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*/
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@ -382,7 +382,7 @@ namespace smt {
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interval it = evaluate_as_interval(var);
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it.expt(power);
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r *= it;
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}
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}
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TRACE("cross_nested_eval_bug", display_nested_form(tout, n); tout << "\ninterval: " << r << "\n";);
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return r;
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}
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@ -424,7 +424,7 @@ namespace smt {
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ptr_vector<void>::const_iterator end = bounds.end();
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for (; it != end; ++it) {
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bound * b = static_cast<bound*>(*it);
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accumulate_justification(*b, new_bound, numeral::zero(), m_tmp_lit_set, m_tmp_eq_set);
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accumulate_justification(*b, new_bound, numeral::zero(), m_tmp_lit_set, m_tmp_eq_set);
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}
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}
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@ -476,7 +476,7 @@ namespace smt {
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}
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return r;
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}
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template<typename Ext>
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bool theory_arith<Ext>::update_bounds_using_interval(expr * n, interval const & i) {
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SASSERT(expr2var(n) != null_theory_var);
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@ -510,7 +510,7 @@ namespace smt {
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}
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/**
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\brief Propagate a bound to the i-th variable of the given monomial
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\brief Propagate a bound to the i-th variable of the given monomial
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using the bounds of m and other variables in m.
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\remark We do not support roots in interval... so, if the i-th var has power != 1
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@ -523,7 +523,7 @@ namespace smt {
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var_power_pair p = get_var_and_degree(m, i);
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expr * v = p.first;
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unsigned power = p.second;
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TRACE("propagate_nl_downward", tout << "m: " << mk_ismt2_pp(m, get_manager()) << "\nv: " << mk_ismt2_pp(v, get_manager()) <<
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TRACE("propagate_nl_downward", tout << "m: " << mk_ismt2_pp(m, get_manager()) << "\nv: " << mk_ismt2_pp(v, get_manager()) <<
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"\npower: " << power << "\n";);
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if (power != 1)
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return false; // TODO: remove, when the n-th root is implemented in interval.
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template<typename Ext>
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bool theory_arith<Ext>::propagate_nl_bound(expr * m, int i) {
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TRACE("propagate_nl_bound", tout << "propagate using i: " << i << "\n"; display_monomial(tout, m); tout << "\n";);
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if (i == -1)
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if (i == -1)
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return propagate_nl_upward(m);
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else
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return propagate_nl_downward(m, i);
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@ -657,13 +657,13 @@ namespace smt {
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rational val(1);
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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theory_var curr = expr2var(arg);
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SASSERT(curr != null_theory_var);
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val *= get_value(curr, computed_epsilon);
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theory_var curr = expr2var(arg);
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SASSERT(curr != null_theory_var);
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val *= get_value(curr, computed_epsilon);
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}
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return get_value(v, computed_epsilon) == val;
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}
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/**
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\brief Return true if for every monomial x_1 * ... * x_n,
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@ -691,11 +691,11 @@ namespace smt {
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/**
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\brief Try to find an integer variable for performing branching
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in the non linear cluster.
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The idea is select a variable in a monomial with an invalid
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assignment. I give preference to variables with small ranges.
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If no variable is bounded, then select a random one.
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Free variables are not considered.
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*/
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template<typename Ext>
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@ -705,44 +705,44 @@ namespace smt {
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theory_var target = null_theory_var;
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bool bounded = false;
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unsigned n = 0;
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numeral range;
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numeral range;
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svector<theory_var>::const_iterator it = m_nl_monomials.begin();
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svector<theory_var>::const_iterator end = m_nl_monomials.end();
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for (; it != end; ++it) {
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theory_var v = *it;
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if (is_real(v))
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if (is_real(v))
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continue;
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bool computed_epsilon = false;
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bool r = check_monomial_assignment(v, computed_epsilon);
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bool r = check_monomial_assignment(v, computed_epsilon);
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SASSERT(!computed_epsilon); // integer variables do not use epsilon
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if (!r) {
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expr * m = get_enode(v)->get_owner();
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SASSERT(is_pure_monomial(m));
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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theory_var curr = ctx.get_enode(arg)->get_th_var(get_id());
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TRACE("nl_branching", tout << "target: v" << target << ", curr: v" << curr << "\n";);
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if (!is_fixed(curr) && is_int(curr)) {
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if (is_bounded(curr)) {
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numeral new_range;
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new_range = upper_bound(curr).get_rational();
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new_range -= lower_bound(curr).get_rational();
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if (!bounded || new_range < range) {
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target = curr;
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range = new_range;
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bounded = true;
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}
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}
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else if (!bounded) {
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n++;
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TRACE("nl_branching", tout << "n: " << n << "\n";);
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if (m_random()%n == 0)
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target = curr;
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SASSERT(target != null_theory_var);
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}
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SASSERT(target != null_theory_var);
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}
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TRACE("nl_branching", tout << "after target: v" << target << "\n";);
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theory_var curr = ctx.get_enode(arg)->get_th_var(get_id());
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TRACE("nl_branching", tout << "target: v" << target << ", curr: v" << curr << "\n";);
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if (!is_fixed(curr) && is_int(curr)) {
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if (is_bounded(curr)) {
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numeral new_range;
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new_range = upper_bound(curr).get_rational();
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new_range -= lower_bound(curr).get_rational();
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if (!bounded || new_range < range) {
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target = curr;
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range = new_range;
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bounded = true;
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}
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}
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else if (!bounded) {
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n++;
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TRACE("nl_branching", tout << "n: " << n << "\n";);
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if (m_random()%n == 0)
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target = curr;
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SASSERT(target != null_theory_var);
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}
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SASSERT(target != null_theory_var);
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}
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TRACE("nl_branching", tout << "after target: v" << target << "\n";);
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}
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}
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}
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@ -762,7 +762,7 @@ namespace smt {
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m_stats.m_nl_branching++;
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SASSERT(is_int(v));
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expr * bound = 0;
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if (lower(v))
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if (lower(v))
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bound = m_util.mk_le(var2expr(v), m_util.mk_numeral(lower_bound(v).get_rational().to_rational(), true));
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else if (upper(v))
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bound = m_util.mk_ge(var2expr(v), m_util.mk_numeral(upper_bound(v).get_rational().to_rational(), true));
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@ -787,14 +787,14 @@ namespace smt {
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unsigned num_nl_vars = 0;
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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theory_var _var = expr2var(arg);
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if (!is_fixed(_var)) {
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num_nl_vars++;
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}
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else {
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if (lower_bound(_var).is_zero())
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return true;
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}
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theory_var _var = expr2var(arg);
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if (!is_fixed(_var)) {
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num_nl_vars++;
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}
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else {
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if (lower_bound(_var).is_zero())
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return true;
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}
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}
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return num_nl_vars <= 1;
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}
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@ -809,9 +809,9 @@ namespace smt {
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numeral r(1);
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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theory_var _var = expr2var(arg);
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if (is_fixed(_var))
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r *= lower_bound(_var).get_rational();
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theory_var _var = expr2var(arg);
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if (is_fixed(_var))
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r *= lower_bound(_var).get_rational();
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}
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return r;
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}
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@ -825,9 +825,9 @@ namespace smt {
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SASSERT(is_pure_monomial(m));
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for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
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expr * arg = to_app(m)->get_arg(i);
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theory_var _var = expr2var(arg);
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if (!is_fixed(_var))
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return arg;
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theory_var _var = expr2var(arg);
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if (!is_fixed(_var))
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return arg;
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}
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return 0;
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}
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@ -886,7 +886,7 @@ namespace smt {
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}
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else {
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||||
// One of the x_i variables is zero,
|
||||
// or all of them are assigned.
|
||||
// or all of them are assigned.
|
||||
|
||||
// Assert the equality
|
||||
// (= (* x_1 ... x_n) k)
|
||||
|
|
@ -908,45 +908,45 @@ namespace smt {
|
|||
|
||||
SASSERT(is_pure_monomial(m));
|
||||
bool found_zero = false;
|
||||
for (unsigned i = 0; !found_zero && i < to_app(m)->get_num_args(); i++) {
|
||||
expr * arg = to_app(m)->get_arg(i);
|
||||
theory_var _var = expr2var(arg);
|
||||
if (is_fixed(_var)) {
|
||||
bound * l = lower(_var);
|
||||
bound * u = upper(_var);
|
||||
if (l->get_value().is_zero()) {
|
||||
/* if zero was found, then it is the explanation */
|
||||
SASSERT(k.is_zero());
|
||||
found_zero = true;
|
||||
m_tmp_lit_set.reset();
|
||||
m_tmp_eq_set.reset();
|
||||
new_lower->m_lits.reset();
|
||||
new_lower->m_eqs.reset();
|
||||
}
|
||||
for (unsigned i = 0; !found_zero && i < to_app(m)->get_num_args(); i++) {
|
||||
expr * arg = to_app(m)->get_arg(i);
|
||||
theory_var _var = expr2var(arg);
|
||||
if (is_fixed(_var)) {
|
||||
bound * l = lower(_var);
|
||||
bound * u = upper(_var);
|
||||
if (l->get_value().is_zero()) {
|
||||
/* if zero was found, then it is the explanation */
|
||||
SASSERT(k.is_zero());
|
||||
found_zero = true;
|
||||
m_tmp_lit_set.reset();
|
||||
m_tmp_eq_set.reset();
|
||||
new_lower->m_lits.reset();
|
||||
new_lower->m_eqs.reset();
|
||||
}
|
||||
accumulate_justification(*l, *new_lower, numeral::zero(), m_tmp_lit_set, m_tmp_eq_set);
|
||||
|
||||
TRACE("non_linear",
|
||||
|
||||
TRACE("non_linear",
|
||||
for (unsigned j = 0; j < new_lower->m_lits.size(); ++j) {
|
||||
ctx.display_detailed_literal(tout, new_lower->m_lits[j]);
|
||||
tout << " ";
|
||||
}
|
||||
tout << "\n";);
|
||||
|
||||
|
||||
accumulate_justification(*u, *new_lower, numeral::zero(), m_tmp_lit_set, m_tmp_eq_set);
|
||||
|
||||
TRACE("non_linear",
|
||||
|
||||
TRACE("non_linear",
|
||||
for (unsigned j = 0; j < new_lower->m_lits.size(); ++j) {
|
||||
ctx.display_detailed_literal(tout, new_lower->m_lits[j]);
|
||||
tout << " ";
|
||||
}
|
||||
tout << "\n";);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
new_upper->m_lits.append(new_lower->m_lits);
|
||||
new_upper->m_eqs.append(new_lower->m_eqs);
|
||||
|
||||
TRACE("non_linear",
|
||||
TRACE("non_linear",
|
||||
tout << "lower: " << new_lower << " upper: " << new_upper << "\n";
|
||||
for (unsigned j = 0; j < new_upper->m_lits.size(); ++j) {
|
||||
ctx.display_detailed_literal(tout, new_upper->m_lits[j]);
|
||||
|
|
@ -979,9 +979,9 @@ namespace smt {
|
|||
/*
|
||||
Interval arithmetic does not satisfy distributivity.
|
||||
Actually, it satisfies the sub-distributivity property:
|
||||
|
||||
|
||||
x*(y + z) \subseteq x*y + x*z
|
||||
|
||||
|
||||
The sub-distributivity property only holds if condensation
|
||||
is not used. For example:
|
||||
|
||||
|
|
@ -995,11 +995,11 @@ namespace smt {
|
|||
|
||||
x*(x^3+1) = [-7, 14]
|
||||
x^4 + x = [-2, 17]
|
||||
|
||||
|
||||
This weakness of AI is known as the "dependency problem",
|
||||
which comes from the decorrelation of the multiple occurrences
|
||||
of one variable during interval evaluation.
|
||||
|
||||
|
||||
Given a polynomial:
|
||||
p(x) = a_0 + a_1 * x + ... + a_n * x^n
|
||||
The horner extension is:
|
||||
|
|
@ -1009,13 +1009,13 @@ namespace smt {
|
|||
h_p(x) = x(2 + x^3(1 + x))
|
||||
|
||||
The horner extension evaluates tighter intervals when
|
||||
condensation is not used.
|
||||
condensation is not used.
|
||||
|
||||
Remark: there is no guarantee that horner extension will
|
||||
provide a tighter interval than a sum of monomials when
|
||||
condensation is used.
|
||||
|
||||
For multivariate polynomials nested (or cross nested) forms
|
||||
For multivariate polynomials nested (or cross nested) forms
|
||||
are used. The idea is to select one variable, and pretend the
|
||||
other are parameters. The horner form is computed for the selected
|
||||
variable, and the computation continues for the polynomials on the
|
||||
|
|
@ -1027,13 +1027,13 @@ namespace smt {
|
|||
|
||||
p(x) = a*x^n + b*x^{n+m} for n >= m
|
||||
is equivalent to
|
||||
|
||||
|
||||
b*x^{n-m}*[(x^{m} + a/(2b))^2 - (a/2b)^2]
|
||||
|
||||
|
||||
This polynomial provides tight bound when n and m have the same parity and:
|
||||
1) a*b > 0 and (lower(x) >= 0 or upper(x)^m <= -a/b)
|
||||
2) a*b < 0 and (upper(x) <= 0 or lower(x)^m >= a/b)
|
||||
|
||||
|
||||
This polynomial also provides tight bounds when n = m,
|
||||
and the polynomial is simplified to, and n and m may have arbitrary parities:
|
||||
|
||||
|
|
@ -1047,7 +1047,7 @@ namespace smt {
|
|||
If we compute the bounds for x^2 - x we obtain
|
||||
(-oo, oo).
|
||||
|
||||
On the other hand, if we compute the bounds for
|
||||
On the other hand, if we compute the bounds for
|
||||
(x - 1/2)^2 - 1/4
|
||||
we obtain the bounds (0, oo), and the inconsistency
|
||||
is detected.
|
||||
|
|
@ -1055,8 +1055,8 @@ namespace smt {
|
|||
Remark: In Z3, I condensate multiple occurrences of a variable
|
||||
when evaluating monomials. So, the interval for a monomial is
|
||||
always tight.
|
||||
|
||||
Remark: M1*(M2 + M3) is more precise than M1 * M2 + M1 * M3,
|
||||
|
||||
Remark: M1*(M2 + M3) is more precise than M1 * M2 + M1 * M3,
|
||||
if intersection(Vars(M1), union(Vars(M2), Vars(M3))) = empty-set,
|
||||
|
||||
Remark: A trivial consequence of Moore's theorem for interval
|
||||
|
|
@ -1066,7 +1066,7 @@ namespace smt {
|
|||
|
||||
/**
|
||||
\brief Check whether the same variable occurs in two different monomials.
|
||||
|
||||
|
||||
\remark Fixed variables are ignored.
|
||||
|
||||
\remark A trivial consequence of Moore's theorem for interval
|
||||
|
|
@ -1208,7 +1208,7 @@ namespace smt {
|
|||
UNREACHABLE();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Update the number of occurrences in the result vector.
|
||||
typename var2num_occs::iterator it2 = m_var2num_occs.begin();
|
||||
typename var2num_occs::iterator end2 = m_var2num_occs.end();
|
||||
|
|
@ -1263,14 +1263,14 @@ namespace smt {
|
|||
m_nl_new_exprs.push_back(r);
|
||||
return r;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
\brief Return true if var only occurs in two monovariate monomials,
|
||||
and return its power and coefficients and these monomials.
|
||||
The arguments i1 and i2 contain the position in p of the two monomials.
|
||||
*/
|
||||
template<typename Ext>
|
||||
bool theory_arith<Ext>::in_monovariate_monomials(sbuffer<coeff_expr> & p, expr * var,
|
||||
bool theory_arith<Ext>::in_monovariate_monomials(sbuffer<coeff_expr> & p, expr * var,
|
||||
unsigned & i1, rational & c1, unsigned & n1, unsigned & i2, rational & c2, unsigned & n2) {
|
||||
int idx = 0;
|
||||
#define SET_RESULT(POWER) { \
|
||||
|
|
@ -1289,7 +1289,7 @@ namespace smt {
|
|||
else \
|
||||
return false; \
|
||||
}
|
||||
|
||||
|
||||
typename sbuffer<coeff_expr>::const_iterator it = p.begin();
|
||||
typename sbuffer<coeff_expr>::const_iterator end = p.end();
|
||||
for (unsigned i = 0; it != end; ++it, ++i) {
|
||||
|
|
@ -1396,7 +1396,7 @@ namespace smt {
|
|||
SASSERT(d != UINT_MAX);
|
||||
return d;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
\brief Divide m by var^d.
|
||||
*/
|
||||
|
|
@ -1416,19 +1416,19 @@ namespace smt {
|
|||
ptr_buffer<expr> new_args;
|
||||
for (unsigned i = 0; i < to_app(m)->get_num_args(); i++) {
|
||||
expr * arg = to_app(m)->get_arg(i);
|
||||
if (arg == var) {
|
||||
if (idx < d)
|
||||
idx++;
|
||||
else
|
||||
new_args.push_back(arg);
|
||||
}
|
||||
else {
|
||||
new_args.push_back(arg);
|
||||
}
|
||||
if (arg == var) {
|
||||
if (idx < d)
|
||||
idx++;
|
||||
else
|
||||
new_args.push_back(arg);
|
||||
}
|
||||
else {
|
||||
new_args.push_back(arg);
|
||||
}
|
||||
}
|
||||
SASSERT(idx == d);
|
||||
TRACE("factor_bug", tout << "new_args:\n"; for(unsigned i = 0; i < new_args.size(); i++) tout << mk_pp(new_args[i], get_manager()) << "\n";);
|
||||
expr * result = mk_nary_mul(new_args.size(), new_args.c_ptr(), m_util.is_int(var));
|
||||
expr * result = mk_nary_mul(new_args.size(), new_args.c_ptr(), m_util.is_int(var));
|
||||
m_nl_new_exprs.push_back(result);
|
||||
TRACE("factor", tout << "result: " << mk_pp(result, get_manager()) << "\n";);
|
||||
return result;
|
||||
|
|
@ -1442,7 +1442,7 @@ namespace smt {
|
|||
SASSERT(!p.empty());
|
||||
SASSERT(var != 0);
|
||||
unsigned d = get_min_degree(p, var);
|
||||
TRACE("horner_bug", tout << "poly:\n";
|
||||
TRACE("horner_bug", tout << "poly:\n";
|
||||
for (unsigned i = 0; i < p.size(); i++) { if (i > 0) tout << " + "; tout << p[i].first << "*" << mk_pp(p[i].second, get_manager()); } tout << "\n";
|
||||
tout << "var: " << mk_pp(var, get_manager()) << "\n";
|
||||
tout << "min_degree: " << d << "\n";);
|
||||
|
|
@ -1467,7 +1467,7 @@ namespace smt {
|
|||
// TODO: improve here
|
||||
s = m_util.mk_add(q, s);
|
||||
}
|
||||
|
||||
|
||||
expr * result = s;
|
||||
if (d != 0) {
|
||||
expr * xd = power(var, d);
|
||||
|
|
@ -1513,9 +1513,9 @@ namespace smt {
|
|||
unsigned nm = UINT_MAX;
|
||||
if (in_monovariate_monomials(p, var, i1, a, n, i2, b, nm)) {
|
||||
CTRACE("in_monovariate_monomials", n == nm,
|
||||
for (unsigned i = 0; i < p.size(); i++) {
|
||||
if (i > 0) tout << " + "; tout << p[i].first << "*" << mk_pp(p[i].second, get_manager());
|
||||
}
|
||||
for (unsigned i = 0; i < p.size(); i++) {
|
||||
if (i > 0) tout << " + "; tout << p[i].first << "*" << mk_pp(p[i].second, get_manager());
|
||||
}
|
||||
tout << "\n";
|
||||
tout << "var: " << mk_pp(var, get_manager()) << "\n";
|
||||
tout << "i1: " << i1 << "\n";
|
||||
|
|
@ -1556,7 +1556,7 @@ namespace smt {
|
|||
sbuffer<coeff_expr> rest;
|
||||
unsigned sz = p.size();
|
||||
for (unsigned i = 0; i < sz; i++) {
|
||||
if (i != i1 && i != i2)
|
||||
if (i != i1 && i != i2)
|
||||
rest.push_back(p[i]);
|
||||
}
|
||||
if (rest.empty())
|
||||
|
|
@ -1620,7 +1620,7 @@ namespace smt {
|
|||
|
||||
/**
|
||||
\brief Check whether the polynomial represented by the current row is
|
||||
consistent with respect to the known bound when converted into a
|
||||
consistent with respect to the known bound when converted into a
|
||||
equivalent cross nested form.
|
||||
*/
|
||||
template<typename Ext>
|
||||
|
|
@ -1630,17 +1630,17 @@ namespace smt {
|
|||
return true;
|
||||
|
||||
TRACE("cross_nested", tout << "problematic...\n";);
|
||||
|
||||
|
||||
/*
|
||||
The method is_cross_nested converts rows back to expressions.
|
||||
The conversion back to expressions may create sort incorrect expressions.
|
||||
This is in some sense ok, since these expressions are temporary, but
|
||||
This is in some sense ok, since these expressions are temporary, but
|
||||
the sort incorrect expressions may generate assertion violations.
|
||||
|
||||
|
||||
Sort incorrect expressions may be created in the following cases:
|
||||
|
||||
|
||||
1) mixed real int rows.
|
||||
|
||||
|
||||
2) int rows that contain non integer coefficients.
|
||||
|
||||
3) int rows that when converted to cross nested form use non integer coefficients.
|
||||
|
|
@ -1654,10 +1654,10 @@ namespace smt {
|
|||
c) Disable the assertions temporally. This sounds like a big HACK.
|
||||
|
||||
d) Use a different data-structure to represent polynomials in cross-nested form. Disadvantage: code duplication, the data-structure
|
||||
is essentially identical to the ASTs we are using right now.
|
||||
is essentially identical to the ASTs we are using right now.
|
||||
|
||||
e) Disable the test when we cannot create a well-sorted expression.
|
||||
I'm temporally using this solution.
|
||||
I'm temporally using this solution.
|
||||
I implemented the following logic:
|
||||
1) (mixed real int) Disable the test. Most benchmarks do not contain mixed int real variables.
|
||||
2) (int coeffs) I multiply the row by a constant to force it to have only integer coefficients.
|
||||
|
|
@ -1696,7 +1696,7 @@ namespace smt {
|
|||
svector<theory_var>::const_iterator end = nl_cluster.end();
|
||||
for (; it != end; ++it) {
|
||||
theory_var v = *it;
|
||||
if (!is_base(v))
|
||||
if (!is_base(v))
|
||||
continue;
|
||||
m_stats.m_nl_cross_nested++;
|
||||
row const & r = m_rows[get_var_row(v)];
|
||||
|
|
@ -1719,8 +1719,8 @@ namespace smt {
|
|||
/**
|
||||
\brief Initialize variable order for grobner basis computation.
|
||||
Make:
|
||||
"quoted free vars" > "free vars" > "quoted variables with lower or upper bounds" >
|
||||
"variables with lower or upper bounds" > "quoted bounded variables" >
|
||||
"quoted free vars" > "free vars" > "quoted variables with lower or upper bounds" >
|
||||
"variables with lower or upper bounds" > "quoted bounded variables" >
|
||||
"bounded variables" > "quoted fixed variables" > "fixed variables"
|
||||
*/
|
||||
template<typename Ext>
|
||||
|
|
@ -1801,7 +1801,7 @@ namespace smt {
|
|||
}
|
||||
if (!coeff.is_zero())
|
||||
return gb.mk_monomial(coeff, vars.size(), vars.c_ptr());
|
||||
else
|
||||
else
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
|
@ -1918,7 +1918,7 @@ namespace smt {
|
|||
derived_bound b(null_theory_var, inf_numeral(0), B_LOWER);
|
||||
dependency2new_bound(d, b);
|
||||
set_conflict(b, ante, "arith_nl");
|
||||
TRACE("non_linear",
|
||||
TRACE("non_linear",
|
||||
for (unsigned i = 0; i < b.m_lits.size(); ++i) {
|
||||
tout << b.m_lits[i] << " ";
|
||||
});
|
||||
|
|
@ -2027,7 +2027,7 @@ namespace smt {
|
|||
unsigned num1 = m1_sq->get_degree();
|
||||
unsigned num2 = m2_sq->get_degree();
|
||||
unsigned num12 = m1m2->get_degree();
|
||||
if (num1 + num2 != num12 * 2)
|
||||
if (num1 + num2 != num12 * 2)
|
||||
return false;
|
||||
unsigned i1, i2, i12;
|
||||
i1 = i2 = i12 = 0;
|
||||
|
|
@ -2072,8 +2072,8 @@ namespace smt {
|
|||
*/
|
||||
template<typename Ext>
|
||||
bool theory_arith<Ext>::is_inconsistent2(grobner::equation const * eq, grobner & gb) {
|
||||
// TODO: a possible improvement: create a quotation for (M1 - M2)^2
|
||||
// instead of trying to find it in a specific equation.
|
||||
// TODO: a possible improvement: create a quotation for (M1 - M2)^2
|
||||
// instead of trying to find it in a specific equation.
|
||||
// This approach is more precise, but more expensive
|
||||
// since a new row must be created.
|
||||
buffer<interval> intervals;
|
||||
|
|
@ -2117,7 +2117,7 @@ namespace smt {
|
|||
continue;
|
||||
// m1, m2, and m1m2 form a perfect square.
|
||||
// check if [0, oo) provides a better lowerbound than adding the intervals of m1, m2 and m1m2;
|
||||
TRACE("non_linear", tout << "found perfect square (M1-M2)^2:\n";
|
||||
TRACE("non_linear", tout << "found perfect square (M1-M2)^2:\n";
|
||||
gb.display_monomial(tout, *m1); tout << "\n";
|
||||
gb.display_monomial(tout, *m2); tout << "\n";
|
||||
gb.display_monomial(tout, *m1m2); tout << "\n";);
|
||||
|
|
@ -2131,7 +2131,7 @@ namespace smt {
|
|||
deleted[i] = true;
|
||||
deleted[j] = true;
|
||||
deleted[k] = true;
|
||||
break;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (k < num)
|
||||
|
|
@ -2184,7 +2184,7 @@ namespace smt {
|
|||
grobner::monomial const * m = eq->get_monomial(i);
|
||||
if (m->get_degree() == 0)
|
||||
k -= m->get_coeff();
|
||||
else
|
||||
else
|
||||
args.push_back(monomial2expr(eq->get_monomial(i), is_int));
|
||||
}
|
||||
context & ctx = get_context();
|
||||
|
|
@ -2213,7 +2213,7 @@ namespace smt {
|
|||
TRACE("non_linear", tout << "inserted new equation into the tableau\n"; display_var(tout, v););
|
||||
return true;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
\brief Compute Grobner basis, return true if a conflict or new fixed variables were detected.
|
||||
*/
|
||||
|
|
@ -2227,7 +2227,7 @@ namespace smt {
|
|||
bool warn = false;
|
||||
unsigned next_weight = MAX_DEFAULT_WEIGHT + 1; // next weight using during perturbation phase.
|
||||
ptr_vector<grobner::equation> eqs;
|
||||
|
||||
|
||||
while (true) {
|
||||
TRACE("non_linear_gb", tout << "before:\n"; gb.display(tout););
|
||||
bool r = false;
|
||||
|
|
@ -2267,7 +2267,7 @@ namespace smt {
|
|||
if (is_inconsistent2(eq, gb))
|
||||
return GB_PROGRESS;
|
||||
}
|
||||
// Scan the grobner basis eqs for equations of the form x - k = 0 or x = 0 is found, and x is not fixed,
|
||||
// Scan the grobner basis eqs for equations of the form x - k = 0 or x = 0 is found, and x is not fixed,
|
||||
// then assert bounds for x, and continue
|
||||
gb_result result = GB_FAIL;
|
||||
if (m_params.m_nl_arith_gb_eqs) {
|
||||
|
|
@ -2277,7 +2277,7 @@ namespace smt {
|
|||
if (!eq->is_linear_combination()) {
|
||||
TRACE("non_linear", tout << "processing new equality:\n"; gb.display_equation(tout, *eq););
|
||||
TRACE("non_linear_bug", tout << "processing new equality:\n"; gb.display_equation(tout, *eq););
|
||||
if (internalize_gb_eq(eq))
|
||||
if (internalize_gb_eq(eq))
|
||||
result = GB_NEW_EQ;
|
||||
}
|
||||
}
|
||||
|
|
@ -2372,10 +2372,10 @@ namespace smt {
|
|||
IF_VERBOSE(3, verbose_stream() << "Max. non linear arithmetic rounds. Increase threshold using NL_ARITH_ROUNDS=<limit>\n";);
|
||||
return FC_GIVEUP;
|
||||
}
|
||||
|
||||
|
||||
get_context().push_trail(value_trail<context, unsigned>(m_nl_rounds));
|
||||
m_nl_rounds++;
|
||||
|
||||
|
||||
elim_quasi_base_rows();
|
||||
move_non_base_vars_to_bounds();
|
||||
TRACE("non_linear", tout << "processing non linear constraints...\n"; get_context().display(tout););
|
||||
|
|
@ -2384,8 +2384,8 @@ namespace smt {
|
|||
failed();
|
||||
return FC_CONTINUE;
|
||||
}
|
||||
|
||||
if (!max_min_nl_vars())
|
||||
|
||||
if (!max_min_nl_vars())
|
||||
return FC_CONTINUE;
|
||||
|
||||
if (check_monomial_assignments()) {
|
||||
|
|
@ -2409,20 +2409,20 @@ namespace smt {
|
|||
}
|
||||
break;
|
||||
case 1:
|
||||
if (!is_cross_nested_consistent(vars))
|
||||
if (!is_cross_nested_consistent(vars))
|
||||
progress = true;
|
||||
break;
|
||||
case 2:
|
||||
if (m_params.m_nl_arith_gb) {
|
||||
switch(compute_grobner(vars)) {
|
||||
case GB_PROGRESS:
|
||||
case GB_PROGRESS:
|
||||
progress = true;
|
||||
break;
|
||||
case GB_NEW_EQ:
|
||||
case GB_NEW_EQ:
|
||||
progress = true;
|
||||
propagate_core();
|
||||
break;
|
||||
case GB_FAIL:
|
||||
case GB_FAIL:
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue