mirror of
https://github.com/Z3Prover/z3
synced 2025-04-24 01:25:31 +00:00
Add bitblasting fallback to viable::query
(integration between conflict/viable is still messy)
This commit is contained in:
parent
44cb528300
commit
afde0e993c
8 changed files with 336 additions and 121 deletions
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@ -182,6 +182,15 @@ namespace polysat {
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SASSERT(s.at_base_level());
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m_level = s.m_level;
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SASSERT(!empty());
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// TODO: logger().begin_conflict???
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// TODO: check uses of logger().begin_conflict(). sometimes we call it before adding constraints, sometimes after...
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}
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void conflict::init_empty() {
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SASSERT(empty());
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m_level = s.m_level;
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SASSERT(!empty());
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// TODO: logger().begin_conflict???
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}
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void conflict::init(signed_constraint c) {
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@ -193,11 +202,13 @@ namespace polysat {
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logger().begin_conflict();
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}
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#if 0
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void conflict::set(signed_constraint c) {
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SASSERT(!empty());
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remove_all();
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set_impl(c);
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}
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#endif
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void conflict::set_impl(signed_constraint c) {
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if (c.bvalue(s) == l_false) {
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@ -233,6 +244,7 @@ namespace polysat {
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void conflict::init(pvar v, bool by_viable_fallback) {
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LOG("Conflict: viable v" << v);
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SASSERT(empty());
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SASSERT(!s.is_assigned(v));
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m_level = s.m_level;
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if (by_viable_fallback) {
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logger().begin_conflict(header_with_var("unsat core from viable fallback for v", v));
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@ -85,7 +85,7 @@ namespace polysat {
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scoped_ptr<conflict_resolver> m_resolver;
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// current conflict core consists of m_literals and m_vars
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indexed_uint_set m_literals; // set of boolean literals in the conflict
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indexed_uint_set m_literals; // set of boolean literals in the conflict; TODO: why not sat::literal_set
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uint_set m_vars; // variable assignments used as premises, shorthand for literals (x := v)
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unsigned_vector m_var_occurrences; // for each variable, the number of constraints in m_literals that contain it
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@ -135,9 +135,13 @@ namespace polysat {
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void init(clause const& cl);
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/** conflict because there is no viable value for the variable v */
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void init(pvar v, bool by_viable_fallback);
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/** start empty conflict, constraints to be added by caller */
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void init_empty(); // TODO: remove... rather have all types of conflicts explicitly listed here.
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#if 0
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/** replace the current conflict by a single constraint */
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void set(signed_constraint c);
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#endif
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bool contains(signed_constraint c) const { SASSERT(c); return contains(c.blit()); }
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bool contains(sat::literal lit) const;
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@ -652,7 +652,7 @@ namespace polysat {
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// (fail here in debug mode so we notice if we miss some)
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DEBUG_CODE( UNREACHABLE(); );
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m_free_pvars.unassign_var_eh(v);
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set_conflict(v, false);
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SASSERT(is_conflict());
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return;
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case find_t::singleton:
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// NOTE: this case may happen legitimately if all other possibilities were excluded by brute force search
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@ -26,6 +26,12 @@ Author:
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namespace polysat {
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univariate_solver::dep_vector univariate_solver::unsat_core() {
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dep_vector deps;
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unsat_core(deps);
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return deps;
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}
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class univariate_bitblast_solver : public univariate_solver {
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// TODO: does it make sense to share m and bv between different solver instances?
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// TODO: consider pooling solvers to save setup overhead, see if solver/solver_pool.h can be used
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@ -33,6 +39,7 @@ namespace polysat {
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scoped_ptr<bv_util> bv;
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scoped_ptr<solver> s;
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unsigned bit_width;
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unsigned m_scope_level = 0;
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func_decl_ref x_decl;
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expr_ref x;
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vector<rational> model_cache;
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@ -67,15 +74,22 @@ namespace polysat {
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}
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void push() override {
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m_scope_level++;
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push_cache();
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s->push();
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}
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void pop(unsigned n) override {
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SASSERT(scope_level() >= n);
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m_scope_level -= n;
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pop_cache();
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s->pop(n);
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}
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unsigned scope_level() override {
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return m_scope_level;
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}
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expr* mk_numeral(rational const& r) const {
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return bv->mk_numeral(r, bit_width);
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}
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@ -198,8 +212,8 @@ namespace polysat {
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return s->check_sat();
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}
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dep_vector unsat_core() override {
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dep_vector deps;
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void unsat_core(dep_vector& deps) override {
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deps.reset();
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expr_ref_vector core(m);
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s->get_unsat_core(core);
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for (expr* a : core) {
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@ -207,7 +221,6 @@ namespace polysat {
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deps.push_back(dep);
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}
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SASSERT(deps.size() > 0);
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return deps;
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}
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rational model() override {
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@ -39,13 +39,15 @@ namespace polysat {
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virtual void push() = 0;
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virtual void pop(unsigned n) = 0;
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virtual unsigned scope_level() = 0;
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virtual lbool check() = 0;
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/**
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* Precondition: check() returned l_false
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*/
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virtual dep_vector unsat_core() = 0;
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dep_vector unsat_core();
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virtual void unsat_core(dep_vector& out_deps) = 0;
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/**
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* Precondition: check() returned l_true
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@ -23,6 +23,10 @@ TODO: improve management of the fallback univariate solvers:
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- incrementally add/remove constraints
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- set resource limit of univariate solver
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TODO: plan to fix the FI "pumping":
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1. simple looping detection and bitblasting fallback.
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2. intervals at multiple bit widths
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--*/
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@ -33,6 +37,8 @@ TODO: improve management of the fallback univariate solvers:
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namespace polysat {
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using namespace viable_query;
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struct inf_fi : public inference {
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viable& v;
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pvar var;
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@ -137,7 +143,7 @@ namespace polysat {
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prop = true;
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break;
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case find_t::empty:
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s.set_conflict(v, false);
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SASSERT(s.is_conflict());
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return true;
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default:
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break;
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@ -543,15 +549,22 @@ namespace polysat {
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return refine_viable(v, val);
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}
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lbool viable::min_viable(pvar v, rational& lo) {
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return query<query_t::min_viable>(v, lo);
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}
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rational viable::min_viable(pvar v) {
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refined:
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rational lo(0);
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auto* e = m_units[v];
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lbool viable::max_viable(pvar v, rational& hi) {
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return query<query_t::max_viable>(v, hi);
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}
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bool viable::query_min(pvar v, rational& lo) {
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// TODO: should be able to deal with UNSAT case; since also min_viable has to deal with it due to fallback solver
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lo = 0;
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entry* e = m_units[v];
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if (!e && !refine_viable(v, lo))
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goto refined;
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return false;
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if (!e)
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return lo;
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return true;
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entry* first = e;
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entry* last = first->prev();
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if (last->interval.currently_contains(lo))
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@ -564,19 +577,19 @@ namespace polysat {
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}
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while (e != first);
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if (!refine_viable(v, lo))
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goto refined;
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return false;
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SASSERT(is_viable(v, lo));
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return lo;
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return true;
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}
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rational viable::max_viable(pvar v) {
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refined:
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rational hi = s.var2pdd(v).max_value();
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bool viable::query_max(pvar v, rational& hi) {
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// TODO: should be able to deal with UNSAT case; since also max_viable has to deal with it due to fallback solver
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hi = s.var2pdd(v).max_value();
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auto* e = m_units[v];
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if (!e && !refine_viable(v, hi))
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goto refined;
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return false;
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if (!e)
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return hi;
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return true;
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entry* last = e->prev();
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e = last;
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do {
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}
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while (e != last);
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if (!refine_viable(v, hi))
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goto refined;
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return false;
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SASSERT(is_viable(v, hi));
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return hi;
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return true;
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}
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// template <viable::query_t mode>
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find_t viable::query(query_t mode, pvar v, rational& lo, rational& hi) {
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SASSERT(mode == query_t::find_viable); // other modes are TODO
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auto const& max_value = s.var2pdd(v).max_value();
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template <query_t mode>
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lbool viable::query(pvar v, typename query_result<mode>::result_t& result) {
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// max number of interval refinements before falling back to the univariate solver
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unsigned const refinement_budget = 1000;
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unsigned refinements = refinement_budget;
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if (!refinements) {
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LOG("Refinement budget exhausted! Fall back to univariate solver.");
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return find_t::resource_out;
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return query_fallback<mode>(v, result);
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}
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refinements--;
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if constexpr (mode == query_t::find_viable) {
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lbool res = query_find(v, result.first, result.second);
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if (res == l_undef)
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goto refined;
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return res;
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}
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if constexpr (mode == query_t::min_viable) {
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if (!query_min(v, result))
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goto refined;
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return l_true;
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}
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if constexpr (mode == query_t::max_viable) {
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if (!query_max(v, result))
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goto refined;
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return l_true;
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}
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if constexpr (mode == query_t::has_viable) {
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NOT_IMPLEMENTED_YET();
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return l_undef;
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}
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UNREACHABLE();
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return l_undef;
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}
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template <query_t mode>
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lbool viable::query_fallback(pvar v, typename query_result<mode>::result_t& result) {
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unsigned const bit_width = s.size(v);
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univariate_solver* us = s.m_viable_fallback.usolver(bit_width);
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sat::literal_set added;
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// First step: only query the looping constraints and see if they alone are already UNSAT.
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// The constraints which caused the refinement loop will be reached from m_units.
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entry const* first = m_units[v];
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entry const* e = first;
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do {
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entry const* origin = e;
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while (origin->refined)
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origin = origin->refined;
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signed_constraint const c = origin->src;
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sat::literal const lit = c.blit();
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if (!added.contains(lit)) {
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added.insert(lit);
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c.add_to_univariate_solver(s, *us, lit.to_uint());
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}
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e = e->next();
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}
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while (e != first);
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switch (us->check()) {
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case l_false:
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set_fallback_conflict(v, *us);
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return l_false;
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case l_true:
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// At this point we don't know much because we did not add all relevant constraints
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break;
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default:
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// resource limit
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return l_undef;
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}
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// Second step: looping constraints aren't UNSAT, so add the remaining relevant constraints
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auto const& cs = s.m_viable_fallback.m_constraints[v];
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for (unsigned i = cs.size(); i-- > 0; ) {
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sat::literal const lit = cs[i].blit();
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if (added.contains(lit))
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continue;
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added.insert(lit);
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cs[i].add_to_univariate_solver(s, *us, lit.to_uint());
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}
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switch (us->check()) {
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case l_false:
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set_fallback_conflict(v, *us);
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return l_false;
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case l_true:
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// pass solver to mode-specific query
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break;
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default:
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// resource limit
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return l_undef;
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}
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if constexpr (mode == query_t::find_viable)
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return query_find_fallback(v, *us, result.first, result.second);
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if constexpr (mode == query_t::min_viable)
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return query_min_fallback(v, *us, result);
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if constexpr (mode == query_t::max_viable)
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return query_max_fallback(v, *us, result);
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if constexpr (mode == query_t::has_viable) {
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NOT_IMPLEMENTED_YET();
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return l_undef;
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}
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UNREACHABLE();
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return l_undef;
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}
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lbool viable::query_find_fallback(pvar v, univariate_solver& us, rational& lo, rational& hi) {
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if (!us.find_min(lo))
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return l_undef;
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if (!us.find_max(hi))
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return l_undef;
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return l_true;
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}
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lbool viable::query_min_fallback(pvar v, univariate_solver& us, rational& lo) {
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return us.find_min(lo) ? l_true : l_undef;
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}
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lbool viable::query_max_fallback(pvar v, univariate_solver& us, rational& hi) {
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return us.find_max(hi) ? l_true : l_undef;
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}
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lbool viable::query_find(pvar v, rational& lo, rational& hi) {
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auto const& max_value = s.var2pdd(v).max_value();
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lbool const refined = l_undef;
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// After a refinement, any of the existing entries may have been replaced
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// (if it is subsumed by the new entry created during refinement).
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// For this reason, we start chasing the intervals from the start again.
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lo = 0;
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hi = max_value;
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auto* e = m_units[v];
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if (!e && !refine_viable(v, lo))
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goto refined;
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if (!e && !refine_viable(v, rational::one()))
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goto refined;
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return refined;
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if (!e && !refine_viable(v, hi))
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return refined;
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if (!e)
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return find_t::multiple;
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if (e->interval.is_full())
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return find_t::empty;
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return l_true;
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if (e->interval.is_full()) {
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set_interval_conflict(v);
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return l_false;
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}
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entry* first = e;
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entry* last = first->prev();
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@ -635,10 +771,10 @@ namespace polysat {
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last->interval.hi_val() < max_value) {
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lo = last->interval.hi_val();
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if (!refine_viable(v, lo))
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goto refined;
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return refined;
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if (!refine_viable(v, max_value))
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goto refined;
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return find_t::multiple;
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return refined;
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return l_true;
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}
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// find lower bound
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@ -652,8 +788,10 @@ namespace polysat {
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}
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while (e != first);
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if (e->interval.currently_contains(lo))
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return find_t::empty;
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if (e->interval.currently_contains(lo)) {
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set_interval_conflict(v);
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return l_false;
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}
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// find upper bound
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hi = max_value;
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@ -666,83 +804,59 @@ namespace polysat {
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}
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while (e != last);
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if (!refine_viable(v, lo))
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goto refined;
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return refined;
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if (!refine_viable(v, hi))
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goto refined;
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return refined;
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return l_true;
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}
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if (lo == hi)
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return find_t::singleton;
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else
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return find_t::multiple;
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lbool viable::find_viable(pvar v, rational& lo, rational& hi) {
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std::pair<rational&, rational&> args{lo, hi};
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return query<query_t::find_viable>(v, args);
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}
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find_t viable::find_viable(pvar v, rational& lo) {
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#if 1
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rational hi;
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// return query<query_t::find_viable>(v, lo, hi);
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return query(query_t::find_viable, v, lo, hi);
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#else
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refined:
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lo = 0;
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auto* e = m_units[v];
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if (!e && !refine_viable(v, lo))
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goto refined;
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if (!e && !refine_viable(v, rational::one()))
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goto refined;
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if (!e)
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return find_t::multiple;
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if (e->interval.is_full())
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switch (find_viable(v, lo, hi)) {
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case l_true:
|
||||
return (lo == hi) ? find_t::singleton : find_t::multiple;
|
||||
case l_false:
|
||||
return find_t::empty;
|
||||
|
||||
entry* first = e;
|
||||
entry* last = first->prev();
|
||||
|
||||
// quick check: last interval does not wrap around
|
||||
// and has space for 2 unassigned values.
|
||||
auto& max_value = s.var2pdd(v).max_value();
|
||||
if (last->interval.lo_val() < last->interval.hi_val() &&
|
||||
last->interval.hi_val() < max_value) {
|
||||
lo = last->interval.hi_val();
|
||||
if (!refine_viable(v, lo))
|
||||
goto refined;
|
||||
if (!refine_viable(v, max_value))
|
||||
goto refined;
|
||||
return find_t::multiple;
|
||||
default:
|
||||
return find_t::resource_out;
|
||||
}
|
||||
}
|
||||
|
||||
// find lower bound
|
||||
if (last->interval.currently_contains(lo))
|
||||
lo = last->interval.hi_val();
|
||||
do {
|
||||
if (!e->interval.currently_contains(lo))
|
||||
break;
|
||||
lo = e->interval.hi_val();
|
||||
e = e->next();
|
||||
void viable::set_fallback_conflict(pvar v, univariate_solver& us) {
|
||||
SASSERT(!s.is_assigned(v));
|
||||
conflict& core = s.m_conflict;
|
||||
core.init_empty();
|
||||
core.logger().begin_conflict(); //header_with_var("unsat core from viable fallback for v", v)); // TODO: begin_conflict before or after adding constraints?
|
||||
// The conflict is the unsat core of the univariate solver,
|
||||
// and the current assignment (under which the constraints are univariate in v)
|
||||
// TODO:
|
||||
// - currently we add variables directly, which is sound:
|
||||
// e.g.: v^2 + w^2 == 0; w := 1
|
||||
// - but we could use side constraints on the coefficients instead (coefficients when viewed as polynomial over v):
|
||||
// e.g.: v^2 + w^2 == 0; w^2 == 1
|
||||
for (unsigned dep : us.unsat_core()) {
|
||||
sat::literal lit = sat::to_literal(dep);
|
||||
signed_constraint c = s.lit2cnstr(lit);
|
||||
core.insert(c);
|
||||
core.insert_vars(c);
|
||||
}
|
||||
while (e != first);
|
||||
SASSERT(!core.vars().contains(v));
|
||||
core.add_lemma("viable unsat core", core.build_lemma());
|
||||
core.revert_pvar(v); // at this point, v is not assigned
|
||||
}
|
||||
|
||||
if (e->interval.currently_contains(lo))
|
||||
return find_t::empty;
|
||||
|
||||
// find upper bound
|
||||
rational hi = max_value;
|
||||
e = last;
|
||||
do {
|
||||
if (!e->interval.currently_contains(hi))
|
||||
break;
|
||||
hi = e->interval.lo_val() - 1;
|
||||
e = e->prev();
|
||||
}
|
||||
while (e != last);
|
||||
if (!refine_viable(v, lo))
|
||||
goto refined;
|
||||
if (!refine_viable(v, hi))
|
||||
goto refined;
|
||||
if (lo == hi)
|
||||
return find_t::singleton;
|
||||
else
|
||||
return find_t::multiple;
|
||||
#endif
|
||||
void viable::set_interval_conflict(pvar v) {
|
||||
SASSERT(!s.is_assigned(v));
|
||||
conflict& core = s.m_conflict;
|
||||
core.init_empty();
|
||||
core.logger().begin_conflict(); //header_with_var("forbidden interval lemma for v", v));
|
||||
VERIFY(resolve(v, core)); // TODO: merge?
|
||||
core.revert_pvar(v); // at this point, v is not assigned
|
||||
}
|
||||
|
||||
bool viable::resolve(pvar v, conflict& core) {
|
||||
|
@ -960,6 +1074,7 @@ namespace polysat {
|
|||
m_usolver.insert(bit_width, mk_solver(bit_width));
|
||||
us = m_usolver[bit_width].get();
|
||||
}
|
||||
SASSERT_EQ(us->scope_level(), 0);
|
||||
|
||||
// push once on the empty solver so we can reset it before the next use
|
||||
us->push();
|
||||
|
|
|
@ -25,6 +25,7 @@ Author:
|
|||
#include "math/polysat/conflict.h"
|
||||
#include "math/polysat/constraint.h"
|
||||
#include "math/polysat/forbidden_intervals.h"
|
||||
#include <optional>
|
||||
|
||||
namespace polysat {
|
||||
|
||||
|
@ -39,6 +40,34 @@ namespace polysat {
|
|||
resource_out,
|
||||
};
|
||||
|
||||
namespace viable_query {
|
||||
enum class query_t {
|
||||
has_viable, // currently only used internally in resolve_viable
|
||||
min_viable, // currently unused
|
||||
max_viable, // currently unused
|
||||
find_viable,
|
||||
};
|
||||
|
||||
template <query_t mode>
|
||||
struct query_result {
|
||||
};
|
||||
|
||||
template <>
|
||||
struct query_result<query_t::min_viable> {
|
||||
using result_t = rational;
|
||||
};
|
||||
|
||||
template <>
|
||||
struct query_result<query_t::max_viable> {
|
||||
using result_t = rational;
|
||||
};
|
||||
|
||||
template <>
|
||||
struct query_result<query_t::find_viable> {
|
||||
using result_t = std::pair<rational&, rational&>;
|
||||
};
|
||||
}
|
||||
|
||||
std::ostream& operator<<(std::ostream& out, find_t x);
|
||||
|
||||
class viable {
|
||||
|
@ -76,15 +105,38 @@ namespace polysat {
|
|||
|
||||
void propagate(pvar v, rational const& val);
|
||||
|
||||
enum class query_t {
|
||||
has_viable, // currently only used internally in resolve_viable
|
||||
min_viable, // currently unused
|
||||
max_viable, // currently unused
|
||||
find_viable,
|
||||
};
|
||||
// return true if done, false if refined
|
||||
bool query_min(pvar v, rational& out_lo);
|
||||
|
||||
// template <query_t mode>
|
||||
find_t query(query_t mode, pvar v, rational& out_lo, rational& out_hi);
|
||||
// return true if done, false if refined
|
||||
bool query_max(pvar v, rational& out_hi);
|
||||
|
||||
// return true if done, false if resource out
|
||||
lbool query_min_fallback(pvar v, univariate_solver& us, rational& out_lo);
|
||||
lbool query_max_fallback(pvar v, univariate_solver& us, rational& out_hi);
|
||||
|
||||
// return resource_out if refined
|
||||
lbool query_find(pvar v, rational& out_lo, rational& out_hi);
|
||||
lbool query_find_fallback(pvar v, univariate_solver& us, rational& out_lo, rational& out_hi);
|
||||
|
||||
/**
|
||||
* Interval query with bounded refinement and fallback to bitblasting.
|
||||
* @return l_true on success, l_false on conflict, l_undef on resource limit
|
||||
*/
|
||||
template <viable_query::query_t mode>
|
||||
lbool query(pvar v, typename viable_query::query_result<mode>::result_t& out_result);
|
||||
|
||||
/**
|
||||
* @return l_true on success, l_false on conflict, l_undef on resource limit
|
||||
*/
|
||||
template <viable_query::query_t mode>
|
||||
lbool query_fallback(pvar v, typename viable_query::query_result<mode>::result_t& out_result);
|
||||
|
||||
/** Set viable conflict due to interval cover */
|
||||
void set_interval_conflict(pvar v);
|
||||
|
||||
/** Set viable conflict due to fallback solver */
|
||||
void set_fallback_conflict(pvar v, univariate_solver& us);
|
||||
|
||||
public:
|
||||
viable(solver& s);
|
||||
|
@ -122,17 +174,29 @@ namespace polysat {
|
|||
*/
|
||||
bool is_viable(pvar v, rational const& val);
|
||||
|
||||
/*
|
||||
* Extract min and max viable values for v
|
||||
/**
|
||||
* Extract min viable value for v.
|
||||
* @return l_true on success, l_false on conflict, l_undef on resource limit
|
||||
*/
|
||||
rational min_viable(pvar v);
|
||||
rational max_viable(pvar v);
|
||||
lbool min_viable(pvar v, rational& out_lo);
|
||||
|
||||
/**
|
||||
* Extract max viable value for v.
|
||||
* @return l_true on success, l_false on conflict, l_undef on resource limit
|
||||
*/
|
||||
lbool max_viable(pvar v, rational& out_hi);
|
||||
|
||||
/**
|
||||
* Find a next viable value for variable.
|
||||
*/
|
||||
find_t find_viable(pvar v, rational& out_val);
|
||||
|
||||
/**
|
||||
* Find a next viable value for variable by determining currently viable lower and upper bounds.
|
||||
* @return l_true on success, l_false on conflict, l_undef on resource limit
|
||||
*/
|
||||
lbool find_viable(pvar v, rational& out_lo, rational& out_hi);
|
||||
|
||||
/**
|
||||
* Retrieve the unsat core for v,
|
||||
* and add the forbidden interval lemma for v (which eliminates v from the unsat core).
|
||||
|
@ -251,6 +315,8 @@ namespace polysat {
|
|||
}
|
||||
|
||||
class viable_fallback {
|
||||
friend class viable;
|
||||
|
||||
solver& s;
|
||||
|
||||
scoped_ptr<univariate_solver_factory> m_usolver_factory;
|
||||
|
|
|
@ -38,16 +38,19 @@ namespace polysat {
|
|||
auto c = s.ule(x + 3, x + 5);
|
||||
s.v.intersect(xv, c);
|
||||
std::cout << s.v << "\n";
|
||||
std::cout << "min-max " << s.v.min_viable(xv) << " " << s.v.max_viable(xv) << "\n";
|
||||
std::cout << "min " << s.v.min_viable(xv, val) << " " << val << "\n";
|
||||
std::cout << "max " << s.v.max_viable(xv, val) << " " << val << "\n";
|
||||
s.v.intersect(xv, s.ule(x, 2));
|
||||
std::cout << s.v << "\n";
|
||||
s.v.intersect(xv, s.ule(1, x));
|
||||
std::cout << s.v << "\n";
|
||||
std::cout << "min-max " << s.v.min_viable(xv) << " " << s.v.max_viable(xv) << "\n";
|
||||
std::cout << "min " << s.v.min_viable(xv, val) << " " << val << "\n";
|
||||
std::cout << "max " << s.v.max_viable(xv, val) << " " << val << "\n";
|
||||
s.v.intersect(xv, s.ule(x, 3));
|
||||
std::cout << s.v << "\n";
|
||||
std::cout << s.v.find_viable(xv, val) << " " << val << "\n";
|
||||
std::cout << "min-max " << s.v.min_viable(xv) << " " << s.v.max_viable(xv) << "\n";
|
||||
std::cout << "min " << s.v.min_viable(xv, val) << " " << val << "\n";
|
||||
std::cout << "max " << s.v.max_viable(xv, val) << " " << val << "\n";
|
||||
s.v.intersect(xv, s.ule(3, x));
|
||||
std::cout << s.v << "\n";
|
||||
std::cout << s.v.find_viable(xv, val) << " " << val << "\n";
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue