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working on reconciling perf for arithmetic solvers

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this update integrates inferences to smt.arith.solver=6 related to grobner basis computation and handling of div/mod axioms to reconcile performance with smt.arith.solver=2.

The default of smt.arth.nl.grobner_subs_fixed is changed to 1 to make comparison with solver=2 more direct.

The selection of cluster equalities for solver=6 was reconciled with how it is done for solver=2.
This commit is contained in:
Nikolaj Bjorner 2022-07-11 07:38:51 -07:00
parent 9d9414c111
commit b68af0c1e5
19 changed files with 357 additions and 282 deletions
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6
src/math/dd/dd_pdd.h
View file

@ -398,13 +398,17 @@ namespace dd {
inline pdd operator-(rational const& r, pdd const& b) { return b.rev_sub(r); }
inline pdd operator-(int x, pdd const& b) { return rational(x) - b; }
inline pdd operator-(pdd const& b, int x) { return b + (-rational(x)); }
inline pdd operator-(pdd const& b, rational const& r) { return b + (-r); }
inline pdd& operator&=(pdd & p, pdd const& q) { p = p & q; return p; }
inline pdd& operator^=(pdd & p, pdd const& q) { p = p ^ q; return p; }
inline pdd& operator*=(pdd & p, pdd const& q) { p = p * q; return p; }
inline pdd& operator|=(pdd & p, pdd const& q) { p = p | q; return p; }
inline pdd& operator-=(pdd & p, pdd const& q) { p = p - q; return p; }
inline pdd& operator+=(pdd & p, pdd const& q) { p = p + q; return p; }
inline pdd& operator+=(pdd & p, rational const& v) { p = p + v; return p; }
inline pdd& operator-=(pdd & p, rational const& v) { p = p - v; return p; }
inline pdd& operator*=(pdd & p, rational const& v) { p = p * v; return p; }
std::ostream& operator<<(std::ostream& out, pdd const& b);

34
src/math/dd/pdd_interval.h
View file

@ -27,7 +27,33 @@ typedef dep_intervals::with_deps_t w_dep;
class pdd_interval {
dep_intervals& m_dep_intervals;
std::function<void (unsigned, bool, scoped_dep_interval&)> m_var2interval;
// retrieve intervals after distributing multiplication over addition.
template <w_dep wd>
void get_interval_distributed(pdd const& p, scoped_dep_interval& i, scoped_dep_interval& ret) {
bool deps = wd == w_dep::with_deps;
if (p.is_val()) {
if (deps)
m_dep_intervals.mul<dep_intervals::with_deps>(p.val(), i, ret);
else
m_dep_intervals.mul<dep_intervals::without_deps>(p.val(), i, ret);
return;
}
scoped_dep_interval hi(m()), lo(m()), t(m()), a(m());
get_interval_distributed<wd>(p.lo(), i, lo);
m_var2interval(p.var(), deps, a);
if (deps) {
m_dep_intervals.mul<dep_intervals::with_deps>(a, i, t);
get_interval_distributed<wd>(p.hi(), t, hi);
m_dep_intervals.add<dep_intervals::with_deps>(hi, lo, ret);
}
else {
m_dep_intervals.mul<dep_intervals::without_deps>(a, i, t);
get_interval_distributed<wd>(p.hi(), t, hi);
m_dep_intervals.add<dep_intervals::without_deps>(hi, lo, ret);
}
}
public:
pdd_interval(dep_intervals& d): m_dep_intervals(d) {}
@ -57,5 +83,11 @@ public:
}
}
template <w_dep wd>
void get_interval_distributed(pdd const& p, scoped_dep_interval& ret) {
scoped_dep_interval i(m());
m_dep_intervals.set_interval_for_scalar(i, rational::one());
get_interval_distributed<wd>(p, i, ret);
}
};
}