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fix cone of influence computation for terms with nested variables

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exposed by #7027, but generally missing. It is less likely to be exposed if input is normalized by distributing multiplication over addition.
This commit is contained in:
Nikolaj Bjorner 2023-12-03 12:42:42 -08:00
parent 25dd29907b
commit f06e07ad0a
1 changed files with 18 additions and 3 deletions
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19
src/math/lp/nra_solver.cpp
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@ -45,6 +45,7 @@ struct solver::imp {
struct occurs { struct occurs {
unsigned_vector constraints; unsigned_vector constraints;
unsigned_vector monics; unsigned_vector monics;
unsigned_vector terms;
}; };
void init_cone_of_influence() { void init_cone_of_influence() {
@ -70,6 +71,15 @@ struct solver::imp {
} }
} }
for (unsigned i = lra.terms().size(); i-- > 0; ) {
auto const& t = lra.term(i);
for (auto const iv : t) {
auto v = iv.column().index();
var2occurs.reserve(v + 1);
var2occurs[v].terms.push_back(i);
}
}
for (auto const& m : m_nla_core.m_to_refine) for (auto const& m : m_nla_core.m_to_refine)
todo.push_back(m); todo.push_back(m);
@ -88,6 +98,13 @@ struct solver::imp {
for (auto w : var2occurs[v].monics) for (auto w : var2occurs[v].monics)
todo.push_back(w); todo.push_back(w);
for (auto ti : var2occurs[v].terms) {
for (auto iv : lra.term(ti))
todo.push_back(iv.column().index());
auto vi = lp::tv::mask_term(ti);
todo.push_back(lra.map_term_index_to_column_index(vi));
}
if (lra.column_corresponds_to_term(v)) { if (lra.column_corresponds_to_term(v)) {
m_term_set.insert(v); m_term_set.insert(v);
lp::tv ti = lp::tv::raw(lra.column_to_reported_index(v)); lp::tv ti = lp::tv::raw(lra.column_to_reported_index(v));
@ -153,12 +170,10 @@ struct solver::imp {
throw; throw;
} }
} }
#if 0
TRACE("nra", TRACE("nra",
m_nlsat->display(tout << r << "\n"); m_nlsat->display(tout << r << "\n");
display(tout); display(tout);
for (auto [j, x] : m_lp2nl) tout << "j" << j << " := x" << x << "\n";); for (auto [j, x] : m_lp2nl) tout << "j" << j << " := x" << x << "\n";);
#endif
switch (r) { switch (r) {
case l_true: case l_true:
m_nla_core.set_use_nra_model(true); m_nla_core.set_use_nra_model(true);