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	Remove old viable query
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					 2 changed files with 3 additions and 126 deletions
				
			
		|  | @ -1161,7 +1161,7 @@ namespace polysat { | |||
| 
 | ||||
|     find_t viable::find_viable(pvar v, rational& lo) { | ||||
|         rational hi; | ||||
|         switch (find_viable2_new(v, lo, hi)) { | ||||
|         switch (find_viable2(v, lo, hi)) { | ||||
|         case l_true: | ||||
|             if (hi < 0) { | ||||
|                 // fallback solver, treat propagations as decisions for now
 | ||||
|  | @ -1438,7 +1438,7 @@ namespace polysat { | |||
|     // - how to integrate fallback solver?
 | ||||
|     //   when lowest level fails, we can try more refinement there.
 | ||||
|     //   in case of refinement loop, try fallback solver with constraints only from lower level.
 | ||||
|     lbool viable::find_viable2_new(pvar v, rational& lo, rational& hi) { | ||||
|     lbool viable::find_viable2(pvar v, rational& lo, rational& hi) { | ||||
|         fixed_bits_info fbi; | ||||
| 
 | ||||
|         if (!collect_bit_information(v, true, fbi)) | ||||
|  | @ -1873,114 +1873,6 @@ namespace polysat { | |||
|         } | ||||
|     } | ||||
| 
 | ||||
|     lbool viable::find_viable2(pvar v, rational& lo, rational& hi) { | ||||
| 
 | ||||
|         fixed_bits_info fbi; | ||||
| 
 | ||||
|         if (!collect_bit_information(v, true, fbi)) | ||||
|             return l_false; // conflict already added
 | ||||
| 
 | ||||
|         // max number of interval refinements before falling back to the univariate solver
 | ||||
|         unsigned const refinement_budget = 1000; | ||||
|         unsigned refinements = refinement_budget; | ||||
| 
 | ||||
|         while (refinements--) { | ||||
|             lbool res = query_find(v, lo, hi, fbi); | ||||
|             IF_VERBOSE(10, { | ||||
|                 if (refinements % 100 == 0) | ||||
|                     verbose_stream() << "Refinements " << refinements << "\n"; | ||||
|             }); | ||||
|             if (res != l_undef) | ||||
|                 return res; | ||||
|         } | ||||
|         IF_VERBOSE(10, verbose_stream() << "Fallback\n";); | ||||
|         LOG("Refinement budget exhausted! Fall back to univariate solver."); | ||||
| 
 | ||||
|         pvar_vector overlaps; | ||||
|         overlaps.push_back(v); | ||||
|         return find_viable_fallback(v, overlaps, lo, hi); | ||||
|     } | ||||
| 
 | ||||
|     lbool viable::query_find(pvar v, rational& lo, rational& hi, fixed_bits_info const& fbi) { | ||||
|         auto const& max_value = s.var2pdd(v).max_value(); | ||||
|         lbool const refined = l_undef; | ||||
| 
 | ||||
|         // After a refinement, any of the existing entries may have been replaced
 | ||||
|         // (if it is subsumed by the new entry created during refinement).
 | ||||
|         // For this reason, we start chasing the intervals from the start again.
 | ||||
|         lo = 0; | ||||
|         hi = max_value; | ||||
| 
 | ||||
|         entry* e = m_units[v].get_entries(s.size(v));  // TODO: take other sizes into account
 | ||||
|         if (!e && !refine_viable<true>(v, lo, fbi)) | ||||
|             return refined; | ||||
|         if (!e && !refine_viable<false>(v, hi, fbi)) | ||||
|             return refined; | ||||
|         if (!e) | ||||
|             return l_true; | ||||
|         if (e->interval.is_full()) { | ||||
|             s.set_conflict_by_viable_interval(v); | ||||
|             return l_false; | ||||
|         } | ||||
| 
 | ||||
|         entry* first = e; | ||||
|         entry* last = first->prev(); | ||||
| 
 | ||||
|         // quick check: last interval does not wrap around
 | ||||
|         // and has space for 2 unassigned values.
 | ||||
|         if (last->interval.lo_val() < last->interval.hi_val() && | ||||
|             last->interval.hi_val() < max_value) { | ||||
|             lo = last->interval.hi_val(); | ||||
|             if (!refine_viable<true>(v, lo, fbi)) | ||||
|                 return refined; | ||||
|             if (!refine_viable<false>(v, max_value, fbi)) | ||||
|                 return refined; | ||||
|             return l_true; | ||||
|         } | ||||
| 
 | ||||
|         // 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(); | ||||
|         } | ||||
|         while (e != first); | ||||
| 
 | ||||
|         if (e->interval.currently_contains(lo)) { | ||||
|             s.set_conflict_by_viable_interval(v); | ||||
|             return l_false; | ||||
|         } | ||||
| 
 | ||||
|         // TODO: we could also try to continue the search at lo+1, if we get stuck at the upper bound.
 | ||||
| 
 | ||||
|         // TODO: we only need (any) 2 viable values. some possibilities:
 | ||||
|         // - find lower and upper bound
 | ||||
|         // - find lower bound and next lowest value
 | ||||
|         // - find upper bound and next highest value
 | ||||
|         // - try a random sample and chase value from there
 | ||||
| 
 | ||||
|         // find upper bound
 | ||||
|         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<true>(v, lo, fbi)) | ||||
|             return refined; | ||||
|         if (!refine_viable<false>(v, hi, fbi)) | ||||
|             return refined; | ||||
|         return l_true; | ||||
|     } | ||||
| #endif | ||||
| 
 | ||||
|     bool viable::set_conflict_by_fallback(pvar v, univariate_solver& us, svector<std::pair<pvar, sat::literal>> const& deps) { | ||||
|         auto& core = s.m_conflict; | ||||
|         core.init_viable_begin(v, false); | ||||
|  |  | |||
|  | @ -187,19 +187,6 @@ namespace polysat { | |||
| 
 | ||||
|         void propagate(pvar v, rational const& val); | ||||
| 
 | ||||
|         /**
 | ||||
|          * Interval-based queries | ||||
|          * @return l_true on success, l_false on conflict, l_undef on refinement | ||||
|          */ | ||||
|         lbool query_find(pvar v, rational& out_lo, rational& out_hi, fixed_bits_info const& fbi); | ||||
| 
 | ||||
|         /**
 | ||||
|          * Find a next viable value for variable. Attempts to find two different values, to distinguish propagation/decision. | ||||
|          * NOTE: out_hi is set to -1 by the fallback solver. | ||||
|          * @return l_true on success, l_false on conflict, l_undef on resource limit | ||||
|          */ | ||||
|         lbool find_viable2(pvar v, rational& out_lo, rational& out_hi); | ||||
| 
 | ||||
|         /**
 | ||||
|          * Enter conflict state when intervals cover the full domain. | ||||
|          * Try to create the forbidden interval lemma for v. | ||||
|  | @ -222,14 +209,12 @@ namespace polysat { | |||
|          */ | ||||
|         bool set_conflict_by_fallback(pvar v, univariate_solver& us, svector<std::pair<pvar, sat::literal>> const& deps); | ||||
| 
 | ||||
| 
 | ||||
| public: | ||||
|         /**
 | ||||
|          * Find a next viable value for variable. Attempts to find two different values, to distinguish propagation/decision. | ||||
|          * NOTE: out_hi is set to -1 by the fallback solver. | ||||
|          * \return l_true on success, l_false on conflict, l_undef on resource limit | ||||
|          */ | ||||
|         lbool find_viable2_new(pvar v, rational& out_lo, rational& out_hi); | ||||
|         lbool find_viable2(pvar v, rational& out_lo, rational& out_hi); | ||||
| 
 | ||||
|         lbool find_on_layers( | ||||
|             pvar v, | ||||
|  |  | |||
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