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Merge branch 'unit_prop_on_monomials' of https://github.com/z3prover/z3 into unit_prop_on_monomials

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This commit is contained in:
Nikolaj Bjorner 2023-09-23 17:20:08 -07:00
commit 3433366bef
10 changed files with 283 additions and 231 deletions
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48
src/math/lp/bound_analyzer_on_row.h
View file

@ -281,15 +281,32 @@ private:
// */
// }
void limit_j(unsigned bound_j, const mpq& u, bool coeff_before_j_is_pos, bool is_lower_bound, bool strict){
void limit_j(unsigned bound_j, const mpq& u, bool coeff_before_j_is_pos, bool is_lower_bound, bool strict)
{
unsigned row_index = this->m_row_index;
auto explain = [bound_j, coeff_before_j_is_pos, is_lower_bound, strict, row_index,this]() {
return explain_bound_on_var_on_coeff((B*)&m_bp, bound_j, coeff_before_j_is_pos, is_lower_bound, strict, row_index);
auto* lar = &m_bp.lp();
auto explain = [bound_j, coeff_before_j_is_pos, is_lower_bound, strict, row_index, lar]() {
TRACE("bound_analyzer", tout << "explain_bound_on_var_on_coeff, bound_j = " << bound_j << ", coeff_before_j_is_pos = " << coeff_before_j_is_pos << ", is_lower_bound = " << is_lower_bound << ", strict = " << strict << ", row_index = " << row_index << "\n";);
int bound_sign = (is_lower_bound ? 1 : -1);
int j_sign = (coeff_before_j_is_pos ? 1 : -1) * bound_sign;
SASSERT(!tv::is_term(bound_j));
u_dependency* ret = nullptr;
for (auto const& r : lar->get_row(row_index)) {
unsigned j = r.var();
if (j == bound_j)
continue;
mpq const& a = r.coeff();
int a_sign = is_pos(a) ? 1 : -1;
int sign = j_sign * a_sign;
u_dependency* witness = sign > 0 ? lar->get_column_upper_bound_witness(j) : lar->get_column_lower_bound_witness(j);
ret = lar->join_deps(ret, witness);
}
return ret;
};
m_bp.add_bound(u, bound_j, is_lower_bound, strict, explain);
}
void advance_u(unsigned j) {
m_column_of_u = (m_column_of_u == -1) ? j : -2;
}
@ -320,26 +337,7 @@ private:
break;
}
}
static u_dependency* explain_bound_on_var_on_coeff(B* bp, unsigned bound_j, bool coeff_before_j_is_pos, bool is_lower_bound, bool strict, unsigned row_index) {
TRACE("bound_analyzer", tout << "explain_bound_on_var_on_coeff, bound_j = " << bound_j << ", coeff_before_j_is_pos = " << coeff_before_j_is_pos << ", is_lower_bound = " << is_lower_bound << ", strict = " << strict << ", row_index = " << row_index << "\n";);
auto& lar = bp->lp();
int bound_sign = (is_lower_bound ? 1 : -1);
int j_sign = (coeff_before_j_is_pos ? 1 : -1) * bound_sign;
SASSERT(!tv::is_term(bound_j));
u_dependency* ret = nullptr;
for (auto const& r : lar.get_row(row_index)) {
unsigned j = r.var();
if (j == bound_j)
continue;
mpq const& a = r.coeff();
int a_sign = is_pos(a) ? 1 : -1;
int sign = j_sign * a_sign;
u_dependency* witness = sign > 0 ? lar.get_column_upper_bound_witness(j) : lar.get_column_lower_bound_witness(j);
ret = lar.join_deps(ret, witness);
}
return ret;
}
};

169
src/math/lp/lp_bound_propagator.h
View file

@ -20,7 +20,7 @@ class lp_bound_propagator {
u_map<unsigned> m_improved_upper_bounds;
T& m_imp;
std_vector<implied_bound> m_ibounds;
std_vector<implied_bound>& m_ibounds;
map<mpq, unsigned, obj_hash<mpq>, default_eq<mpq>> m_val2fixed_row;
// works for rows of the form x + y + sum of fixed = 0
@ -109,7 +109,7 @@ private:
};
public:
lp_bound_propagator(T& imp) : m_imp(imp) {}
lp_bound_propagator(T& imp, std_vector<implied_bound> & ibounds) : m_imp(imp), m_ibounds(ibounds) {}
const std_vector<implied_bound>& ibounds() const { return m_ibounds; }
@ -120,171 +120,6 @@ public:
m_column_types = &lp().get_column_types();
}
bool is_linear(const svector<lpvar>& m, lpvar& zero_var, lpvar& non_fixed) {
zero_var = non_fixed = null_lpvar;
unsigned n_of_non_fixed = 0;
for (lpvar v : m) {
if (!this->column_is_fixed(v)) {
n_of_non_fixed++;
non_fixed = v;
continue;
}
const auto & b = get_lower_bound(v).x;
if (b.is_zero()) {
zero_var = v;
return true;
}
}
return n_of_non_fixed <= 1;
}
void add_bounds_for_zero_var(lpvar monic_var, lpvar zero_var) {
auto& lps = lp();
auto lambda = [zero_var,&lps]() {
return lps.get_bound_constraint_witnesses_for_column(zero_var);
};
TRACE("add_bound", lp().print_column_info(zero_var, tout) << std::endl;);
add_lower_bound_monic(monic_var, mpq(0), false, lambda);
add_upper_bound_monic(monic_var, mpq(0), false, lambda);
}
void add_lower_bound_monic(lpvar j, const mpq& v, bool is_strict, std::function<u_dependency*()> explain_dep) {
TRACE("add_bound", lp().print_column_info(j, tout) << std::endl;);
j = lp().column_to_reported_index(j);
unsigned k;
if (!m_improved_lower_bounds.find(j, k)) {
m_improved_lower_bounds.insert(j,static_cast<unsigned>(m_ibounds.size()));
m_ibounds.push_back(implied_bound(v, j, true, is_strict, explain_dep));
}
else {
auto& found_bound = m_ibounds[k];
if (v > found_bound.m_bound || (v == found_bound.m_bound && !found_bound.m_strict && is_strict)) {
found_bound = implied_bound(v, j, true, is_strict, explain_dep);
TRACE("add_bound", lp().print_implied_bound(found_bound, tout););
}
}
}
void add_upper_bound_monic(lpvar j, const mpq& bound_val, bool is_strict, std::function <u_dependency* ()> explain_bound) {
j = lp().column_to_reported_index(j);
unsigned k;
if (!m_improved_upper_bounds.find(j, k)) {
m_improved_upper_bounds.insert(j, static_cast<unsigned>(m_ibounds.size()));
m_ibounds.push_back(implied_bound(bound_val, j, false, is_strict, explain_bound));
}
else {
auto& found_bound = m_ibounds[k];
if (bound_val > found_bound.m_bound || (bound_val == found_bound.m_bound && !found_bound.m_strict && is_strict)) {
found_bound = implied_bound(bound_val, j, false, is_strict, explain_bound);
TRACE("add_bound", lp().print_implied_bound(found_bound, tout););
}
}
}
void propagate_monic(lpvar monic_var, const svector<lpvar>& vars) {
lpvar non_fixed, zero_var;
if (!is_linear(vars, zero_var, non_fixed))
return;
if (zero_var != null_lpvar)
add_bounds_for_zero_var(monic_var, zero_var);
else {
rational k = rational(1);
for (auto v : vars)
if (v != non_fixed) {
k *= lp().get_column_value(v).x;
if (k.is_big()) return;
}
if (non_fixed != null_lpvar)
propagate_monic_with_non_fixed(monic_var, vars, non_fixed, k);
else // all variables are fixed
propagate_monic_with_all_fixed(monic_var, vars, k);
}
}
void propagate_monic_with_non_fixed(lpvar monic_var, const svector<lpvar>& vars, lpvar non_fixed, const rational& k) {
lp::impq bound_value;
bool is_strict;
auto& lps = lp();
if (lower_bound_is_available(non_fixed)) {
bound_value = lp().column_lower_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed,&lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(non_fixed);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_pos())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (upper_bound_is_available(non_fixed)) {
bound_value = lp().column_upper_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed,&lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(non_fixed);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_neg())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (lower_bound_is_available(monic_var)) {
auto lambda = [vars, monic_var, non_fixed,&lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
}
}
return dep;
};
bound_value = lp().column_lower_bound(monic_var);
is_strict = !bound_value.y.is_zero();
if (k.is_pos())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
}
if (upper_bound_is_available(monic_var)) {
bound_value = lp().column_upper_bound(monic_var);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, monic_var, non_fixed,&lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
}
}
return dep;
};
if (k.is_neg())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
}
}
void propagate_monic_with_all_fixed(lpvar monic_var, const svector<lpvar>& vars, const rational& k) {
auto& lps = lp();
auto lambda = [vars,&lps]() { return lps.get_bound_constraint_witnesses_for_columns(vars); };
add_lower_bound_monic(monic_var, k, false, lambda);
add_upper_bound_monic(monic_var, k, false, lambda);
}
column_type get_column_type(unsigned j) const {
return (*m_column_types)[j];
}

232
src/math/lp/nla_core.cpp
View file

@ -17,27 +17,30 @@ Author:
#include "math/grobner/pdd_solver.h"
#include "math/dd/pdd_interval.h"
#include "math/dd/pdd_eval.h"
#include "nla_core.h"
namespace nla {
typedef lp::lar_term term;
core::core(lp::lar_solver& s, params_ref const& p, reslimit& lim) : m_evars(),
lra(s),
m_reslim(lim),
m_params(p),
m_tangents(this),
m_basics(this),
m_order(this),
m_monotone(this),
m_powers(*this),
m_divisions(*this),
m_intervals(this, lim),
m_monomial_bounds(this),
m_horner(this),
m_grobner(this),
m_emons(m_evars),
m_use_nra_model(false),
m_nra(s, m_nra_lim, *this) {
core::core(lp::lar_solver& s, params_ref const& p, reslimit& lim, std_vector<lp::implied_bound>& implied_bounds) :
m_evars(),
lra(s),
m_reslim(lim),
m_params(p),
m_tangents(this),
m_basics(this),
m_order(this),
m_monotone(this),
m_powers(*this),
m_divisions(*this),
m_intervals(this, lim),
m_monomial_bounds(this),
m_horner(this),
m_grobner(this),
m_emons(m_evars),
m_use_nra_model(false),
m_nra(s, m_nra_lim, *this),
m_implied_bounds(implied_bounds) {
m_nlsat_delay = lp_settings().nlsat_delay();
lra.m_find_monics_with_changed_bounds_func = [&](const indexed_uint_set& columns_with_changed_bounds) {
for (const auto& m : m_emons) {
@ -1837,5 +1840,198 @@ bool core::improve_bounds() {
return bounds_improved;
}
} // end of nla
bool core::is_linear(const svector<lpvar>& m, lpvar& zero_var, lpvar& non_fixed) {
zero_var = non_fixed = null_lpvar;
unsigned n_of_non_fixed = 0;
for (lpvar v : m) {
if (!var_is_fixed(v)) {
n_of_non_fixed++;
non_fixed = v;
continue;
}
const auto& b = get_lower_bound(v);
if (b.is_zero()) {
zero_var = v;
return true;
}
}
return n_of_non_fixed <= 1;
}
void core::add_lower_bound_monic(lpvar j, const lp::mpq& v, bool is_strict, std::function<u_dependency*()> explain_dep) {
TRACE("add_bound", lra.print_column_info(j, tout) << std::endl;);
j = lra.column_to_reported_index(j);
unsigned k;
if (!m_improved_lower_bounds.find(j, k)) {
m_improved_lower_bounds.insert(j, static_cast<unsigned>(m_implied_bounds.size()));
m_implied_bounds.push_back(lp::implied_bound(v, j, true, is_strict, explain_dep));
}
else {
auto& found_bound = m_implied_bounds[k];
if (v > found_bound.m_bound || (v == found_bound.m_bound && !found_bound.m_strict && is_strict)) {
found_bound = lp::implied_bound(v, j, true, is_strict, explain_dep);
TRACE("add_bound", lra.print_implied_bound(found_bound, tout););
}
}
}
void core::add_upper_bound_monic(lpvar j, const lp::mpq& bound_val, bool is_strict, std::function<u_dependency*()> explain_dep) {
j = lra.column_to_reported_index(j);
unsigned k;
if (!m_improved_upper_bounds.find(j, k)) {
m_improved_upper_bounds.insert(j, static_cast<unsigned>(m_implied_bounds.size()));
m_implied_bounds.push_back(lp::implied_bound(bound_val, j, false, is_strict, explain_dep));
}
else {
auto& found_bound = m_implied_bounds[k];
if (bound_val > found_bound.m_bound || (bound_val == found_bound.m_bound && !found_bound.m_strict && is_strict)) {
found_bound = lp::implied_bound(bound_val, j, false, is_strict, explain_dep);
TRACE("add_bound", lra.print_implied_bound(found_bound, tout););
}
}
}
bool core::upper_bound_is_available(unsigned j) const {
switch (get_column_type(j)) {
case lp::column_type::fixed:
case lp::column_type::boxed:
case lp::column_type::upper_bound:
return true;
default:
return false;
}
}
bool core::lower_bound_is_available(unsigned j) const {
switch (get_column_type(j)) {
case lp::column_type::fixed:
case lp::column_type::boxed:
case lp::column_type::lower_bound:
return true;
default:
return false;
}
}
void core::propagate_monic_with_non_fixed(lpvar monic_var, const svector<lpvar>& vars, lpvar non_fixed, const rational& k) {
lp::impq bound_value;
bool is_strict;
auto& lps = lra;
if (lower_bound_is_available(non_fixed)) {
bound_value = lra.column_lower_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(non_fixed);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_pos())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (upper_bound_is_available(non_fixed)) {
bound_value = lra.column_upper_bound(non_fixed);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(non_fixed);
for (auto v : vars)
if (v != non_fixed)
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
return dep;
};
if (k.is_neg())
add_lower_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
else
add_upper_bound_monic(monic_var, k * bound_value.x, is_strict, lambda);
}
if (lower_bound_is_available(monic_var)) {
auto lambda = [vars, monic_var, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_lower_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
}
}
return dep;
};
bound_value = lra.column_lower_bound(monic_var);
is_strict = !bound_value.y.is_zero();
if (k.is_pos())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
}
if (upper_bound_is_available(monic_var)) {
bound_value = lra.column_upper_bound(monic_var);
is_strict = !bound_value.y.is_zero();
auto lambda = [vars, monic_var, non_fixed, &lps]() {
u_dependency* dep = lps.get_column_upper_bound_witness(monic_var);
for (auto v : vars) {
if (v != non_fixed) {
dep = lps.join_deps(dep, lps.get_bound_constraint_witnesses_for_column(v));
}
}
return dep;
};
if (k.is_neg())
add_lower_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
else
add_upper_bound_monic(non_fixed, bound_value.x / k, is_strict, lambda);
}
}
void core::propagate_monic_with_all_fixed(lpvar monic_var, const svector<lpvar>& vars, const rational& k) {
auto* lps = &lra;
auto lambda = [vars, lps]() { return lps->get_bound_constraint_witnesses_for_columns(vars); };
add_lower_bound_monic(monic_var, k, false, lambda);
add_upper_bound_monic(monic_var, k, false, lambda);
}
void core::add_bounds_for_zero_var(lpvar monic_var, lpvar zero_var) {
auto* lps = &lra;
auto lambda = [zero_var, lps]() {
return lps->get_bound_constraint_witnesses_for_column(zero_var);
};
TRACE("add_bound", lra.print_column_info(zero_var, tout) << std::endl;);
add_lower_bound_monic(monic_var, lp::mpq(0), false, lambda);
add_upper_bound_monic(monic_var, lp::mpq(0), false, lambda);
}
void core::calculate_implied_bounds_for_monic(lp::lpvar monic_var) {
lpvar non_fixed, zero_var;
const auto& vars = m_emons[monic_var].vars();
if (!is_linear(vars, zero_var, non_fixed))
return;
if (zero_var != null_lpvar)
add_bounds_for_zero_var(monic_var, zero_var);
else {
rational k = rational(1);
for (auto v : vars)
if (v != non_fixed) {
k *= val(v);
if (k.is_big()) return;
}
if (non_fixed != null_lpvar)
propagate_monic_with_non_fixed(monic_var, vars, non_fixed, k);
else // all variables are fixed
propagate_monic_with_all_fixed(monic_var, vars, k);
}
}
void core::init_bound_propagation() {
m_implied_bounds.clear();
m_improved_lower_bounds.reset();
m_improved_upper_bounds.reset();
m_column_types = &lra.get_column_types();
}
} // namespace nla

22
src/math/lp/nla_core.h
View file

@ -103,7 +103,10 @@ class core {
emonics m_emons;
svector<lpvar> m_add_buffer;
mutable indexed_uint_set m_active_var_set;
// these maps map a column index to the corresponding index in ibounds
u_map<unsigned> m_improved_lower_bounds;
u_map<unsigned> m_improved_upper_bounds;
const vector<lp::column_type>* m_column_types;
reslimit m_nra_lim;
bool m_use_nra_model = false;
@ -114,12 +117,13 @@ class core {
void check_weighted(unsigned sz, std::pair<unsigned, std::function<void(void)>>* checks);
void add_bounds();
std_vector<lp::implied_bound> & m_implied_bounds;
// try to improve bounds for variables in monomials.
bool improve_bounds();
public:
// constructor
core(lp::lar_solver& s, params_ref const& p, reslimit&);
core(lp::lar_solver& s, params_ref const& p, reslimit&, std_vector<lp::implied_bound> & implied_bounds);
const auto& monics_with_changed_bounds() const { return m_monics_with_changed_bounds; }
void reset_monics_with_changed_bounds() { m_monics_with_changed_bounds.reset(); }
void insert_to_refine(lpvar j);
@ -431,15 +435,23 @@ public:
void set_use_nra_model(bool m);
bool use_nra_model() const { return m_use_nra_model; }
void collect_statistics(::statistics&);
bool is_linear(const svector<lpvar>& m, lpvar& zero_var, lpvar& non_fixed);
void add_bounds_for_zero_var(lpvar monic_var, lpvar zero_var);
void propagate_monic_with_non_fixed(lpvar monic_var, const svector<lpvar>& vars, lpvar non_fixed, const rational& k);
void propagate_monic_with_all_fixed(lpvar monic_var, const svector<lpvar>& vars, const rational& k);
void add_lower_bound_monic(lpvar j, const lp::mpq& v, bool is_strict, std::function<u_dependency*()> explain_dep);
void add_upper_bound_monic(lpvar j, const lp::mpq& v, bool is_strict, std::function<u_dependency*()> explain_dep);
bool upper_bound_is_available(unsigned j) const;
bool lower_bound_is_available(unsigned j) const;
private:
void restore_patched_values();
lp::column_type get_column_type(unsigned j) const { return (*m_column_types)[j]; }
void constrain_nl_in_tableau();
bool solve_tableau();
void restore_tableau();
void save_tableau();
bool integrality_holds();
void calculate_implied_bounds_for_monic(lp::lpvar v);
void init_bound_propagation();
}; // end of core
struct pp_mon {

11
src/math/lp/nla_solver.cpp
View file

@ -54,8 +54,8 @@ namespace nla {
m_core->pop(n);
}
solver::solver(lp::lar_solver& s, params_ref const& p, reslimit& limit):
m_core(alloc(core, s, p, limit)) {
solver::solver(lp::lar_solver& s, params_ref const& p, reslimit& limit, std_vector<lp::implied_bound> & implied_bounds):
m_core(alloc(core, s, p, limit, implied_bounds)) {
}
bool solver::influences_nl_var(lpvar j) const {
@ -88,6 +88,9 @@ namespace nla {
m_core->collect_statistics(st);
}
void solver::calculate_implied_bounds_for_monic(lp::lpvar v) {
m_core->calculate_implied_bounds_for_monic(v);
}
// ensure r = x^y, add abstraction/refinement lemmas
lbool solver::check_power(lpvar r, lpvar x, lpvar y, vector<lemma>& lemmas) {
return m_core->check_power(r, x, y, lemmas);
@ -97,4 +100,8 @@ namespace nla {
m_core->check_bounded_divisions(lemmas);
}
void solver::init_bound_propagation() {
m_core->init_bound_propagation();
}
}

4
src/math/lp/nla_solver.h
View file

@ -24,7 +24,7 @@ namespace nla {
core* m_core;
public:
solver(lp::lar_solver& s, params_ref const& p, reslimit& limit);
solver(lp::lar_solver& s, params_ref const& p, reslimit& limit, std_vector<lp::implied_bound> & implied_bounds);
~solver();
const auto& monics_with_changed_bounds() const { return m_core->monics_with_changed_bounds(); }
void reset_monics_with_changed_bounds() { m_core->reset_monics_with_changed_bounds(); }
@ -48,5 +48,7 @@ namespace nla {
nlsat::anum_manager& am();
nlsat::anum const& am_value(lp::var_index v) const;
void collect_statistics(::statistics & st);
void calculate_implied_bounds_for_monic(lp::lpvar v);
void init_bound_propagation();
};
}

2
src/sat/smt/arith_internalize.cpp
View file

@ -61,7 +61,7 @@ namespace arith {
void solver::ensure_nla() {
if (!m_nla) {
m_nla = alloc(nla::solver, *m_solver.get(), s().params(), m.limit());
m_nla = alloc(nla::solver, *m_solver.get(), s().params(), m.limit(), m_implied_bounds);
for (auto const& _s : m_scopes) {
(void)_s;
m_nla->push();

2
src/sat/smt/arith_solver.cpp
View file

@ -26,7 +26,7 @@ namespace arith {
m_model_eqs(DEFAULT_HASHTABLE_INITIAL_CAPACITY, var_value_hash(*this), var_value_eq(*this)),
m_local_search(*this),
m_resource_limit(*this),
m_bp(*this),
m_bp(*this, m_implied_bounds),
a(m),
m_bound_terms(m),
m_bound_predicate(m)

1
src/sat/smt/arith_solver.h
View file

@ -243,6 +243,7 @@ namespace arith {
resource_limit m_resource_limit;
lp_bounds m_new_bounds;
symbol m_farkas;
std_vector<lp::implied_bound> m_implied_bounds;
lp::lp_bound_propagator<solver> m_bp;
mutable vector<std::pair<lp::tv, rational>> m_todo_terms;

23
src/smt/theory_lra.cpp
View file

@ -225,6 +225,7 @@ class theory_lra::imp {
lp_bounds m_new_bounds;
symbol m_farkas;
vector<parameter> m_bound_params;
std_vector<lp::implied_bound> m_implied_bounds;
lp::lp_bound_propagator<imp> m_bp;
context& ctx() const { return th.get_context(); }
@ -263,7 +264,7 @@ class theory_lra::imp {
void ensure_nla() {
if (!m_nla) {
m_nla = alloc(nla::solver, *m_solver.get(), ctx().get_params(), m.limit());
m_nla = alloc(nla::solver, *m_solver.get(), ctx().get_params(), m.limit(), m_implied_bounds);
for (auto const& _s : m_scopes) {
(void)_s;
m_nla->push();
@ -873,7 +874,7 @@ public:
m_solver(nullptr),
m_resource_limit(*this),
m_farkas("farkas"),
m_bp(*this),
m_bp(*this, m_implied_bounds),
m_bounded_range_idx(0),
m_bounded_range_lit(null_literal),
m_bound_terms(m),
@ -1527,12 +1528,14 @@ public:
unsigned old_sz = m_assume_eq_candidates.size();
unsigned num_candidates = 0;
int start = ctx().get_random_value();
unsigned num_relevant = 0;
for (theory_var i = 0; i < sz; ++i) {
theory_var v = (i + start) % sz;
enode* n1 = get_enode(v);
if (!th.is_relevant_and_shared(n1)) {
continue;
}
++num_relevant;
ensure_column(v);
if (!is_registered_var(v))
continue;
@ -1550,7 +1553,7 @@ public:
num_candidates++;
}
}
if (num_candidates > 0) {
ctx().push_trail(restore_vector(m_assume_eq_candidates, old_sz));
}
@ -2197,15 +2200,14 @@ public:
finish_bound_propagation();
}
void calculate_implied_bounds_for_monic(lpvar monic_var, const svector<lpvar>& vars) {
m_bp.propagate_monic(monic_var, vars);
}
void propagate_bounds_for_touched_monomials() {
for (unsigned v : m_nla->monics_with_changed_bounds()) {
calculate_implied_bounds_for_monic(v, m_nla->get_core().emons()[v].vars());
}
m_nla->init_bound_propagation();
for (unsigned v : m_nla->monics_with_changed_bounds())
m_nla->calculate_implied_bounds_for_monic(v);
m_nla->reset_monics_with_changed_bounds();
for (const auto & l : m_nla_lemma_vector)
false_case_of_check_nla(l);
}
void propagate_bounds_with_nlp() {
@ -3885,7 +3887,6 @@ public:
IF_VERBOSE(1, verbose_stream() << enode_pp(n, ctx()) << " evaluates to " << r2 << " but arith solver has " << r1 << "\n");
}
}
};
theory_lra::theory_lra(context& ctx):