/***************************************************************************************[Solver.cc] Glucose -- Copyright (c) 2013, Gilles Audemard, Laurent Simon CRIL - Univ. Artois, France LRI - Univ. Paris Sud, France Glucose sources are based on MiniSat (see below MiniSat copyrights). Permissions and copyrights of Glucose are exactly the same as Minisat on which it is based on. (see below). --------------- Copyright (c) 2003-2006, Niklas Een, Niklas Sorensson Copyright (c) 2007-2010, Niklas Sorensson Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. **************************************************************************************************/ #include #include "sat/glucose/Sort.h" #include "sat/glucose/Solver.h" #include "sat/glucose/Constants.h" #include "sat/glucose/System.h" using namespace Glucose; //================================================================================================= // Options: static const char* _cat = "CORE"; static const char* _cr = "CORE -- RESTART"; static const char* _cred = "CORE -- REDUCE"; static const char* _cm = "CORE -- MINIMIZE"; static const char* _certified = "CORE -- CERTIFIED UNSAT"; static BoolOption opt_incremental (_cat,"incremental", "Use incremental SAT solving", false); static DoubleOption opt_K (_cr, "K", "The constant used to force restart", 0.8, DoubleRange(0, false, 1, false)); static DoubleOption opt_R (_cr, "R", "The constant used to block restart", 1.4, DoubleRange(1, false, 5, false)); static IntOption opt_size_lbd_queue (_cr, "szLBDQueue", "The size of moving average for LBD (restarts)", 50, IntRange(10, INT32_MAX)); static IntOption opt_size_trail_queue (_cr, "szTrailQueue", "The size of moving average for trail (block restarts)", 5000, IntRange(10, INT32_MAX)); static IntOption opt_first_reduce_db (_cred, "firstReduceDB", "The number of conflicts before the first reduce DB", 2000, IntRange(0, INT32_MAX)); static IntOption opt_inc_reduce_db (_cred, "incReduceDB", "Increment for reduce DB", 300, IntRange(0, INT32_MAX)); static IntOption opt_spec_inc_reduce_db (_cred, "specialIncReduceDB", "Special increment for reduce DB", 1000, IntRange(0, INT32_MAX)); static IntOption opt_lb_lbd_frozen_clause (_cred, "minLBDFrozenClause", "Protect clauses if their LBD decrease and is lower than (for one turn)", 30, IntRange(0, INT32_MAX)); static IntOption opt_lb_size_minimzing_clause (_cm, "minSizeMinimizingClause", "The min size required to minimize clause", 30, IntRange(3, INT32_MAX)); static IntOption opt_lb_lbd_minimzing_clause (_cm, "minLBDMinimizingClause", "The min LBD required to minimize clause", 6, IntRange(3, INT32_MAX)); static DoubleOption opt_var_decay (_cat, "var-decay", "The variable activity decay factor", 0.8, DoubleRange(0, false, 1, false)); static DoubleOption opt_clause_decay (_cat, "cla-decay", "The clause activity decay factor", 0.999, DoubleRange(0, false, 1, false)); static DoubleOption opt_random_var_freq (_cat, "rnd-freq", "The frequency with which the decision heuristic tries to choose a random variable", 0, DoubleRange(0, true, 1, true)); static DoubleOption opt_random_seed (_cat, "rnd-seed", "Used by the random variable selection", 91648253, DoubleRange(0, false, HUGE_VAL, false)); static IntOption opt_ccmin_mode (_cat, "ccmin-mode", "Controls conflict clause minimization (0=none, 1=basic, 2=deep)", 2, IntRange(0, 2)); static IntOption opt_phase_saving (_cat, "phase-saving", "Controls the level of phase saving (0=none, 1=limited, 2=full)", 2, IntRange(0, 2)); static BoolOption opt_rnd_init_act (_cat, "rnd-init", "Randomize the initial activity", false); /* static IntOption opt_restart_first (_cat, "rfirst", "The base restart interval", 100, IntRange(1, INT32_MAX)); static DoubleOption opt_restart_inc (_cat, "rinc", "Restart interval increase factor", 2, DoubleRange(1, false, HUGE_VAL, false)); */ static DoubleOption opt_garbage_frac (_cat, "gc-frac", "The fraction of wasted memory allowed before a garbage collection is triggered", 0.20, DoubleRange(0, false, HUGE_VAL, false)); BoolOption opt_certified (_certified, "certified", "Certified UNSAT using DRUP format", false ); StringOption opt_certified_file (_certified, "certified-output", "Certified UNSAT output file", "NULL"); //================================================================================================= // Constructor/Destructor: Solver::Solver() : // Parameters (user settable): // SolverType(0) , pCnfFunc(NULL) , nCallConfl(1000) , verbEveryConflicts(10000) , terminate_search_early(false) , pstop(NULL) , verbosity (0) , showModel (0) , K (opt_K) , R (opt_R) , sizeLBDQueue (opt_size_lbd_queue) , sizeTrailQueue (opt_size_trail_queue) , firstReduceDB (opt_first_reduce_db) , incReduceDB (opt_inc_reduce_db) , specialIncReduceDB (opt_spec_inc_reduce_db) , lbLBDFrozenClause (opt_lb_lbd_frozen_clause) , lbSizeMinimizingClause (opt_lb_size_minimzing_clause) , lbLBDMinimizingClause (opt_lb_lbd_minimzing_clause) , var_decay (opt_var_decay) , clause_decay (opt_clause_decay) , random_var_freq (opt_random_var_freq) , random_seed (opt_random_seed) , ccmin_mode (opt_ccmin_mode) , phase_saving (opt_phase_saving) , rnd_pol (false) , rnd_init_act (opt_rnd_init_act) , garbage_frac (opt_garbage_frac) , certifiedOutput (NULL) , certifiedUNSAT (opt_certified) // Statistics: (formerly in 'SolverStats') // , nbRemovedClauses(0),nbReducedClauses(0), nbDL2(0),nbBin(0),nbUn(0) , nbReduceDB(0) , solves(0), starts(0), decisions(0), rnd_decisions(0), propagations(0),conflicts(0),conflictsRestarts(0),nbstopsrestarts(0),nbstopsrestartssame(0),lastblockatrestart(0) , dec_vars(0), clauses_literals(0), learnts_literals(0), max_literals(0), tot_literals(0) , curRestart(1) , ok (true) , cla_inc (1) , var_inc (1) , watches (WatcherDeleted(ca)) , watchesBin (WatcherDeleted(ca)) , qhead (0) , simpDB_assigns (-1) , simpDB_props (0) , order_heap (VarOrderLt(activity)) , progress_estimate (0) , remove_satisfied (true) // Resource constraints: // , conflict_budget (-1) , propagation_budget (-1) , asynch_interrupt (false) , incremental(opt_incremental) , nbVarsInitialFormula(INT32_MAX) { MYFLAG=0; // Initialize only first time. Useful for incremental solving, useless otherwise lbdQueue.initSize(sizeLBDQueue); trailQueue.initSize(sizeTrailQueue); sumLBD = 0; nbclausesbeforereduce = firstReduceDB; totalTime4Sat=0;totalTime4Unsat=0; nbSatCalls=0;nbUnsatCalls=0; if(certifiedUNSAT) { if(!strcmp(opt_certified_file,"NULL")) { certifiedOutput = fopen("/dev/stdout", "wb"); } else { certifiedOutput = fopen(opt_certified_file, "wb"); } // fprintf(certifiedOutput,"o proof DRUP\n"); } } Solver::~Solver() { } /**************************************************************** Set the incremental mode ****************************************************************/ // This function set the incremental mode to true. // You can add special code for this mode here. void Solver::setIncrementalMode() { incremental = true; } // Number of variables without selectors void Solver::initNbInitialVars(int nb) { nbVarsInitialFormula = nb; } //================================================================================================= // Minor methods: // Creates a new SAT variable in the solver. If 'decision' is cleared, variable will not be // used as a decision variable (NOTE! This has effects on the meaning of a SATISFIABLE result). // Var Solver::newVar(bool sign, bool dvar) { int v = nVars(); watches .init(mkLit(v, false)); watches .init(mkLit(v, true )); watchesBin .init(mkLit(v, false)); watchesBin .init(mkLit(v, true )); assigns .push(l_Undef); vardata .push(mkVarData(CRef_Undef, 0)); //activity .push(0); activity .push(rnd_init_act ? drand(random_seed) * 0.00001 : 0); seen .push(0); permDiff .push(0); polarity .push(sign); decision .push(); trail .capacity(v+1); setDecisionVar(v, dvar); return v; } bool Solver::addClause_(vec& ps) { assert(decisionLevel() == 0); if (!ok) return false; // Check if clause is satisfied and remove false/duplicate literals: sort(ps); vec oc; oc.clear(); Lit p; int i, j, flag = 0; if(certifiedUNSAT) { for (i = j = 0, p = lit_Undef; i < ps.size(); i++) { oc.push(ps[i]); if (value(ps[i]) == l_True || ps[i] == ~p || value(ps[i]) == l_False) flag = 1; } } for (i = j = 0, p = lit_Undef; i < ps.size(); i++) if (value(ps[i]) == l_True || ps[i] == ~p) return true; else if (value(ps[i]) != l_False && ps[i] != p) ps[j++] = p = ps[i]; ps.shrink(i - j); if (flag && (certifiedUNSAT)) { for (i = j = 0, p = lit_Undef; i < ps.size(); i++) fprintf(certifiedOutput, "%i ", (var(ps[i]) + 1) * (-2 * sign(ps[i]) + 1)); fprintf(certifiedOutput, "0\n"); fprintf(certifiedOutput, "d "); for (i = j = 0, p = lit_Undef; i < oc.size(); i++) fprintf(certifiedOutput, "%i ", (var(oc[i]) + 1) * (-2 * sign(oc[i]) + 1)); fprintf(certifiedOutput, "0\n"); } if (ps.size() == 0) return ok = false; else if (ps.size() == 1){ uncheckedEnqueue(ps[0]); return ok = (propagate() == CRef_Undef); }else{ CRef cr = ca.alloc(ps, false); clauses.push(cr); attachClause(cr); } return true; } void Solver::attachClause(CRef cr) { const Clause& c = ca[cr]; assert(c.size() > 1); if(c.size()==2) { watchesBin[~c[0]].push(Watcher(cr, c[1])); watchesBin[~c[1]].push(Watcher(cr, c[0])); } else { watches[~c[0]].push(Watcher(cr, c[1])); watches[~c[1]].push(Watcher(cr, c[0])); } if (c.learnt()) learnts_literals += c.size(); else clauses_literals += c.size(); } void Solver::detachClause(CRef cr, bool strict) { const Clause& c = ca[cr]; assert(c.size() > 1); if(c.size()==2) { if (strict){ remove(watchesBin[~c[0]], Watcher(cr, c[1])); remove(watchesBin[~c[1]], Watcher(cr, c[0])); }else{ // Lazy detaching: (NOTE! Must clean all watcher lists before garbage collecting this clause) watchesBin.smudge(~c[0]); watchesBin.smudge(~c[1]); } } else { if (strict){ remove(watches[~c[0]], Watcher(cr, c[1])); remove(watches[~c[1]], Watcher(cr, c[0])); }else{ // Lazy detaching: (NOTE! Must clean all watcher lists before garbage collecting this clause) watches.smudge(~c[0]); watches.smudge(~c[1]); } } if (c.learnt()) learnts_literals -= c.size(); else clauses_literals -= c.size(); } void Solver::removeClause(CRef cr) { Clause& c = ca[cr]; if (certifiedUNSAT) { fprintf(certifiedOutput, "d "); for (int i = 0; i < c.size(); i++) fprintf(certifiedOutput, "%i ", (var(c[i]) + 1) * (-2 * sign(c[i]) + 1)); fprintf(certifiedOutput, "0\n"); } detachClause(cr); // Don't leave pointers to free'd memory! if (locked(c)) vardata[var(c[0])].reason = CRef_Undef; c.mark(1); ca.free_(cr); } bool Solver::satisfied(const Clause& c) const { if(incremental) // Check clauses with many selectors is too time consuming return (value(c[0]) == l_True) || (value(c[1]) == l_True); // Default mode. for (int i = 0; i < c.size(); i++) if (value(c[i]) == l_True) return true; return false; } /************************************************************ * Compute LBD functions *************************************************************/ inline unsigned int Solver::computeLBD(const vec & lits,int end) { int nblevels = 0; MYFLAG++; if(incremental) { // ----------------- INCREMENTAL MODE if(end==-1) end = lits.size(); unsigned int nbDone = 0; for(int i=0;i=end) break; if(isSelector(var(lits[i]))) continue; nbDone++; int l = level(var(lits[i])); if (permDiff[l] != MYFLAG) { permDiff[l] = MYFLAG; nblevels++; } } } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO READ for(int i=0;i=c.sizeWithoutSelectors()) break; if(isSelector(var(c[i]))) continue; nbDone++; int l = level(var(c[i])); if (permDiff[l] != MYFLAG) { permDiff[l] = MYFLAG; nblevels++; } } } else { // -------- DEFAULT MODE. NOT A LOT OF DIFFERENCES... BUT EASIER TO READ for(int i=0;i &out_learnt) { // Find the LBD measure unsigned int lbd = computeLBD(out_learnt); Lit p = ~out_learnt[0]; if(lbd<=lbLBDMinimizingClause){ MYFLAG++; for(int i = 1;i& wbin = watchesBin[p]; int nb = 0; for(int k = 0;k0) { nbReducedClauses++; for(int i = 1;i level){ for (int c = trail.size()-1; c >= trail_lim[level]; c--){ Var x = var(trail[c]); assigns [x] = l_Undef; if (phase_saving > 1 || ((phase_saving == 1) && c > trail_lim.last())) polarity[x] = sign(trail[c]); insertVarOrder(x); } qhead = trail_lim[level]; trail.shrink(trail.size() - trail_lim[level]); trail_lim.shrink(trail_lim.size() - level); } } //================================================================================================= // Major methods: Lit Solver::pickBranchLit() { Var next = var_Undef; // Random decision: if (drand(random_seed) < random_var_freq && !order_heap.empty()){ next = order_heap[irand(random_seed,order_heap.size())]; if (value(next) == l_Undef && decision[next]) rnd_decisions++; } // Activity based decision: while (next == var_Undef || value(next) != l_Undef || !decision[next]) if (order_heap.empty()){ next = var_Undef; break; }else next = order_heap.removeMin(); return next == var_Undef ? lit_Undef : mkLit(next, rnd_pol ? drand(random_seed) < 0.5 : (polarity[next] != 0)); } /*_________________________________________________________________________________________________ | | analyze : (confl : Clause*) (out_learnt : vec&) (out_btlevel : int&) -> [void] | | Description: | Analyze conflict and produce a reason clause. | | Pre-conditions: | * 'out_learnt' is assumed to be cleared. | * Current decision level must be greater than root level. | | Post-conditions: | * 'out_learnt[0]' is the asserting literal at level 'out_btlevel'. | * If out_learnt.size() > 1 then 'out_learnt[1]' has the greatest decision level of the | rest of literals. There may be others from the same level though. | |________________________________________________________________________________________________@*/ void Solver::analyze(CRef confl, vec& out_learnt,vec&selectors, int& out_btlevel,unsigned int &lbd,unsigned int &szWithoutSelectors) { int pathC = 0; Lit p = lit_Undef; // Generate conflict clause: // out_learnt.push(); // (leave room for the asserting literal) int index = trail.size() - 1; do{ assert(confl != CRef_Undef); // (otherwise should be UIP) Clause& c = ca[confl]; // Special case for binary clauses // The first one has to be SAT if( p != lit_Undef && c.size()==2 && value(c[0])==l_False) { assert(value(c[1])==l_True); Lit tmp = c[0]; c[0] = c[1], c[1] = tmp; } if (c.learnt()) claBumpActivity(c); #ifdef DYNAMICNBLEVEL // DYNAMIC NBLEVEL trick (see competition'09 companion paper) if(c.learnt() && c.lbd()>2) { unsigned int nblevels = computeLBD(c); if(nblevels+1 0){ if(!isSelector(var(q))) varBumpActivity(var(q)); seen[var(q)] = 1; if (level(var(q)) >= decisionLevel()) { pathC++; #ifdef UPDATEVARACTIVITY // UPDATEVARACTIVITY trick (see competition'09 companion paper) if(!isSelector(var(q)) && (reason(var(q))!= CRef_Undef) && ca[reason(var(q))].learnt()) lastDecisionLevel.push(q); #endif } else { if(isSelector(var(q))) { assert(value(q) == l_False); selectors.push(q); } else out_learnt.push(q); } } } // Select next clause to look at: while (!seen[var(trail[index--])]); p = trail[index+1]; confl = reason(var(p)); seen[var(p)] = 0; pathC--; }while (pathC > 0); out_learnt[0] = ~p; // Simplify conflict clause: // int i, j; for(i = 0;i 0){ out_learnt[j++] = out_learnt[i]; break; } } } }else i = j = out_learnt.size(); max_literals += out_learnt.size(); out_learnt.shrink(i - j); tot_literals += out_learnt.size(); /* *************************************** Minimisation with binary clauses of the asserting clause First of all : we look for small clauses Then, we reduce clauses with small LBD. Otherwise, this can be useless */ if(!incremental && out_learnt.size()<=lbSizeMinimizingClause) { minimisationWithBinaryResolution(out_learnt); } // Find correct backtrack level: // if (out_learnt.size() == 1) out_btlevel = 0; else{ int max_i = 1; // Find the first literal assigned at the next-highest level: for (int i = 2; i < out_learnt.size(); i++) if (level(var(out_learnt[i])) > level(var(out_learnt[max_i]))) max_i = i; // Swap-in this literal at index 1: Lit p = out_learnt[max_i]; out_learnt[max_i] = out_learnt[1]; out_learnt[1] = p; out_btlevel = level(var(p)); } // Compute the size of the clause without selectors (incremental mode) if(incremental) { szWithoutSelectors = 0; for(int i=0;i0) break; } } else szWithoutSelectors = out_learnt.size(); // Compute LBD lbd = computeLBD(out_learnt,out_learnt.size()-selectors.size()); #ifdef UPDATEVARACTIVITY // UPDATEVARACTIVITY trick (see competition'09 companion paper) if(lastDecisionLevel.size()>0) { for(int i = 0;i 0){ assert(reason(var(analyze_stack.last())) != CRef_Undef); Clause& c = ca[reason(var(analyze_stack.last()))]; analyze_stack.pop(); if(c.size()==2 && value(c[0])==l_False) { assert(value(c[1])==l_True); Lit tmp = c[0]; c[0] = c[1], c[1] = tmp; } for (int i = 1; i < c.size(); i++){ Lit p = c[i]; if (!seen[var(p)] && level(var(p)) > 0){ if (reason(var(p)) != CRef_Undef && (abstractLevel(var(p)) & abstract_levels) != 0){ seen[var(p)] = 1; analyze_stack.push(p); analyze_toclear.push(p); }else{ for (int j = top; j < analyze_toclear.size(); j++) seen[var(analyze_toclear[j])] = 0; analyze_toclear.shrink(analyze_toclear.size() - top); return false; } } } } return true; } /*_________________________________________________________________________________________________ | | analyzeFinal : (p : Lit) -> [void] | | Description: | Specialized analysis procedure to express the final conflict in terms of assumptions. | Calculates the (possibly empty) set of assumptions that led to the assignment of 'p', and | stores the result in 'out_conflict'. |________________________________________________________________________________________________@*/ void Solver::analyzeFinal(Lit p, vec& out_conflict) { out_conflict.clear(); out_conflict.push(p); if (decisionLevel() == 0) return; seen[var(p)] = 1; for (int i = trail.size()-1; i >= trail_lim[0]; i--){ Var x = var(trail[i]); if (seen[x]){ if (reason(x) == CRef_Undef){ assert(level(x) > 0); out_conflict.push(~trail[i]); }else{ Clause& c = ca[reason(x)]; // for (int j = 1; j < c.size(); j++) Minisat (glucose 2.0) loop // Bug in case of assumptions due to special data structures for Binary. // Many thanks to Sam Bayless (sbayless@cs.ubc.ca) for discover this bug. for (int j = ((c.size()==2) ? 0:1); j < c.size(); j++) if (level(var(c[j])) > 0) seen[var(c[j])] = 1; } seen[x] = 0; } } seen[var(p)] = 0; } void Solver::uncheckedEnqueue(Lit p, CRef from) { assert(value(p) == l_Undef); assigns[var(p)] = lbool(!sign(p)); vardata[var(p)] = mkVarData(from, decisionLevel()); trail.push_(p); } /*_________________________________________________________________________________________________ | | propagate : [void] -> [Clause*] | | Description: | Propagates all enqueued facts. If a conflict arises, the conflicting clause is returned, | otherwise CRef_Undef. | | Post-conditions: | * the propagation queue is empty, even if there was a conflict. |________________________________________________________________________________________________@*/ CRef Solver::propagate() { CRef confl = CRef_Undef; int num_props = 0; watches.cleanAll(); watchesBin.cleanAll(); while (qhead < trail.size()){ Lit p = trail[qhead++]; // 'p' is enqueued fact to propagate. vec& ws = watches[p]; Watcher *i, *j, *end; num_props++; // First, Propagate binary clauses vec& wbin = watchesBin[p]; for(int k = 0;kblocker; if (value(blocker) == l_True){ *j++ = *i++; continue; } // Make sure the false literal is data[1]: CRef cr = i->cref; Clause& c = ca[cr]; Lit false_lit = ~p; if (c[0] == false_lit) c[0] = c[1], c[1] = false_lit; assert(c[1] == false_lit); i++; // If 0th watch is true, then clause is already satisfied. Lit first = c[0]; Watcher w = Watcher(cr, first); if (first != blocker && value(first) == l_True){ *j++ = w; continue; } // Look for new watch: if(incremental) { // ----------------- INCREMENTAL MODE int choosenPos = -1; for (int k = 2; k < c.size(); k++) { if (value(c[k]) != l_False){ if(decisionLevel()>assumptions.size()) { choosenPos = k; break; } else { choosenPos = k; if(value(c[k])==l_True || !isSelector(var(c[k]))) { break; } } } } if(choosenPos!=-1) { c[1] = c[choosenPos]; c[choosenPos] = false_lit; watches[~c[1]].push(w); goto NextClause; } } else { // ----------------- DEFAULT MODE (NOT INCREMENTAL) for (int k = 2; k < c.size(); k++) { if (value(c[k]) != l_False){ c[1] = c[k]; c[k] = false_lit; watches[~c[1]].push(w); goto NextClause; } } } // Did not find watch -- clause is unit under assignment: *j++ = w; if (value(first) == l_False){ confl = cr; qhead = trail.size(); // Copy the remaining watches: while (i < end) *j++ = *i++; }else { uncheckedEnqueue(first, cr); } NextClause:; } ws.shrink(i - j); } propagations += num_props; simpDB_props -= num_props; return confl; } /*_________________________________________________________________________________________________ | | reduceDB : () -> [void] | | Description: | Remove half of the learnt clauses, minus the clauses locked by the current assignment. Locked | clauses are clauses that are reason to some assignment. Binary clauses are never removed. |________________________________________________________________________________________________@*/ struct reduceDB_lt { ClauseAllocator& ca; reduceDB_lt(ClauseAllocator& ca_) : ca(ca_) {} bool operator () (CRef x, CRef y) { // Main criteria... Like in MiniSat we keep all binary clauses if(ca[x].size()> 2 && ca[y].size()==2) return 1; if(ca[y].size()>2 && ca[x].size()==2) return 0; if(ca[x].size()==2 && ca[y].size()==2) return 0; // Second one based on literal block distance if(ca[x].lbd()> ca[y].lbd()) return 1; if(ca[x].lbd()< ca[y].lbd()) return 0; // Finally we can use old activity or size, we choose the last one return ca[x].activity() < ca[y].activity(); //return x->size() < y->size(); //return ca[x].size() > 2 && (ca[y].size() == 2 || ca[x].activity() < ca[y].activity()); } } }; void Solver::reduceDB() { int i, j; nbReduceDB++; sort(learnts, reduceDB_lt(ca)); // We have a lot of "good" clauses, it is difficult to compare them. Keep more ! if(ca[learnts[learnts.size() / RATIOREMOVECLAUSES]].lbd()<=3) nbclausesbeforereduce +=specialIncReduceDB; // Useless :-) if(ca[learnts.last()].lbd()<=5) nbclausesbeforereduce +=specialIncReduceDB; // Don't delete binary or locked clauses. From the rest, delete clauses from the first half // Keep clauses which seem to be usefull (their lbd was reduce during this sequence) int limit = learnts.size() / 2; for (i = j = 0; i < learnts.size(); i++){ Clause& c = ca[learnts[i]]; if (c.lbd()>2 && c.size() > 2 && c.canBeDel() && !locked(c) && (i < limit)) { removeClause(learnts[i]); nbRemovedClauses++; } else { if(!c.canBeDel()) limit++; //we keep c, so we can delete an other clause c.setCanBeDel(true); // At the next step, c can be delete learnts[j++] = learnts[i]; } } learnts.shrink(i - j); checkGarbage(); } void Solver::removeSatisfied(vec& cs) { int i, j; for (i = j = 0; i < cs.size(); i++){ Clause& c = ca[cs[i]]; if (satisfied(c)) removeClause(cs[i]); else cs[j++] = cs[i]; } cs.shrink(i - j); } void Solver::rebuildOrderHeap() { vec vs; for (Var v = 0; v < nVars(); v++) if (decision[v] && value(v) == l_Undef) vs.push(v); order_heap.build(vs); } /*_________________________________________________________________________________________________ | | simplify : [void] -> [bool] | | Description: | Simplify the clause database according to the current top-level assigment. Currently, the only | thing done here is the removal of satisfied clauses, but more things can be put here. |________________________________________________________________________________________________@*/ bool Solver::simplify() { assert(decisionLevel() == 0); if (!ok || propagate() != CRef_Undef) return ok = false; if (nAssigns() == simpDB_assigns || (simpDB_props > 0)) return true; // Remove satisfied clauses: removeSatisfied(learnts); if (remove_satisfied) // Can be turned off. removeSatisfied(clauses); checkGarbage(); rebuildOrderHeap(); simpDB_assigns = nAssigns(); simpDB_props = clauses_literals + learnts_literals; // (shouldn't depend on stats really, but it will do for now) return true; } /*_________________________________________________________________________________________________ | | search : (nof_conflicts : int) (params : const SearchParams&) -> [lbool] | | Description: | Search for a model the specified number of conflicts. | NOTE! Use negative value for 'nof_conflicts' indicate infinity. | | Output: | 'l_True' if a partial assigment that is consistent with respect to the clauseset is found. If | all variables are decision variables, this means that the clause set is satisfiable. 'l_False' | if the clause set is unsatisfiable. 'l_Undef' if the bound on number of conflicts is reached. |________________________________________________________________________________________________@*/ lbool Solver::search(int nof_conflicts) { assert(ok); int backtrack_level; int conflictC = 0; vec learnt_clause,selectors; unsigned int nblevels,szWoutSelectors; bool blocked=false; starts++; for (;;){ CRef confl = propagate(); if (confl != CRef_Undef){ // CONFLICT conflicts++; conflictC++;conflictsRestarts++; if(conflicts%5000==0 && var_decay<0.95) var_decay += 0.01; if (verbosity >= 1 && conflicts%verbEveryConflicts==0){ printf("c | %8d %7d %5d | %7d %8d %8d | %5d %8d %6d %8d | %6.3f %% |\n", (int)starts,(int)nbstopsrestarts, (int)(conflicts/starts), (int)dec_vars - (trail_lim.size() == 0 ? trail.size() : trail_lim[0]), nClauses(), (int)clauses_literals, (int)nbReduceDB, nLearnts(), (int)nbDL2,(int)nbRemovedClauses, progressEstimate()*100); } if (decisionLevel() == 0) { return l_False; } trailQueue.push(trail.size()); // BLOCK RESTART (CP 2012 paper) if( conflictsRestarts>LOWER_BOUND_FOR_BLOCKING_RESTART && lbdQueue.isvalid() && trail.size()>R*trailQueue.getavg()) { lbdQueue.fastclear(); nbstopsrestarts++; if(!blocked) {lastblockatrestart=starts;nbstopsrestartssame++;blocked=true;} } learnt_clause.clear(); selectors.clear(); analyze(confl, learnt_clause, selectors,backtrack_level,nblevels,szWoutSelectors); lbdQueue.push(nblevels); sumLBD += nblevels; cancelUntil(backtrack_level); if (certifiedUNSAT) { for (int i = 0; i < learnt_clause.size(); i++) fprintf(certifiedOutput, "%i " , (var(learnt_clause[i]) + 1) * (-2 * sign(learnt_clause[i]) + 1) ); fprintf(certifiedOutput, "0\n"); } if (learnt_clause.size() == 1){ uncheckedEnqueue(learnt_clause[0]);nbUn++; }else{ CRef cr = ca.alloc(learnt_clause, true); ca[cr].setLBD(nblevels); ca[cr].setSizeWithoutSelectors(szWoutSelectors); if(nblevels<=2) nbDL2++; // stats if(ca[cr].size()==2) nbBin++; // stats learnts.push(cr); attachClause(cr); claBumpActivity(ca[cr]); uncheckedEnqueue(learnt_clause[0], cr); } varDecayActivity(); claDecayActivity(); }else{ // Our dynamic restart, see the SAT09 competition compagnion paper if ( (conflictsRestarts && lbdQueue.isvalid() && lbdQueue.getavg()*K > sumLBD/conflictsRestarts) || (pstop && *pstop) ) { lbdQueue.fastclear(); progress_estimate = progressEstimate(); int bt = 0; if(incremental) { // DO NOT BACKTRACK UNTIL 0.. USELESS bt = (decisionLevel()=curRestart* nbclausesbeforereduce) { assert(learnts.size()>0); curRestart = (conflicts/ nbclausesbeforereduce)+1; reduceDB(); nbclausesbeforereduce += incReduceDB; } Lit next = lit_Undef; while (decisionLevel() < assumptions.size()){ // Perform user provided assumption: Lit p = assumptions[decisionLevel()]; if (value(p) == l_True){ // Dummy decision level: newDecisionLevel(); }else if (value(p) == l_False){ analyzeFinal(~p, conflict); return l_False; }else{ next = p; break; } } if (next == lit_Undef){ // New variable decision: decisions++; next = pickBranchLit(); if (next == lit_Undef){ printf("c last restart ## conflicts : %d %d \n",conflictC,decisionLevel()); // Model found: return l_True; } } // Increase decision level and enqueue 'next' newDecisionLevel(); uncheckedEnqueue(next); } } } double Solver::progressEstimate() const { double progress = 0; double F = 1.0 / nVars(); for (int i = 0; i <= decisionLevel(); i++){ int beg = i == 0 ? 0 : trail_lim[i - 1]; int end = i == decisionLevel() ? trail.size() : trail_lim[i]; progress += pow(F, i) * (end - beg); } return progress / nVars(); } void Solver::printIncrementalStats() { printf("c---------- Glucose Stats -------------------------\n"); printf("c restarts : %lld\n", starts); printf("c nb ReduceDB : %lld\n", nbReduceDB); printf("c nb removed Clauses : %lld\n",nbRemovedClauses); printf("c nb learnts DL2 : %lld\n", nbDL2); printf("c nb learnts size 2 : %lld\n", nbBin); printf("c nb learnts size 1 : %lld\n", nbUn); printf("c conflicts : %lld \n",conflicts); printf("c decisions : %lld\n",decisions); printf("c propagations : %lld\n",propagations); printf("c SAT Calls : %d in %g seconds\n",nbSatCalls,totalTime4Sat); printf("c UNSAT Calls : %d in %g seconds\n",nbUnsatCalls,totalTime4Unsat); printf("c--------------------------------------------------\n"); } // NOTE: assumptions passed in member-variable 'assumptions'. lbool Solver::solve_() { if(incremental && certifiedUNSAT) { printf("Can not use incremental and certified unsat in the same time\n"); exit(-1); } model.clear(); conflict.clear(); if (!ok) return l_False; double curTime = cpuTime(); solves++; lbool status = l_Undef; if(!incremental && verbosity>=1) { printf("c ========================================[ MAGIC CONSTANTS ]==============================================\n"); printf("c | Constants are supposed to work well together :-) |\n"); printf("c | however, if you find better choices, please let us known... |\n"); printf("c |-------------------------------------------------------------------------------------------------------|\n"); printf("c | | | |\n"); printf("c | - Restarts: | - Reduce Clause DB: | - Minimize Asserting: |\n"); printf("c | * LBD Queue : %6d | * First : %6d | * size < %3d |\n",lbdQueue.maxSize(),nbclausesbeforereduce,lbSizeMinimizingClause); printf("c | * Trail Queue : %6d | * Inc : %6d | * lbd < %3d |\n",trailQueue.maxSize(),incReduceDB,lbLBDMinimizingClause); printf("c | * K : %6.2f | * Special : %6d | |\n",K,specialIncReduceDB); printf("c | * R : %6.2f | * Protected : (lbd)< %2d | |\n",R,lbLBDFrozenClause); printf("c | | | |\n"); printf("c ==================================[ Search Statistics (every %6d conflicts) ]=========================\n",verbEveryConflicts); printf("c | |\n"); printf("c | RESTARTS | ORIGINAL | LEARNT | Progress |\n"); printf("c | NB Blocked Avg Cfc | Vars Clauses Literals | Red Learnts LBD2 Removed | |\n"); printf("c =========================================================================================================\n"); } // Search: int curr_restarts = 0; while (status == l_Undef){ status = search(0); // the parameter is useless in glucose, kept to allow modifications if (!withinBudget() || terminate_search_early || (pstop && *pstop)) break; curr_restarts++; } if (!incremental && verbosity >= 1) printf("c =========================================================================================================\n"); if (certifiedUNSAT){ // Want certified output if (status == l_False) fprintf(certifiedOutput, "0\n"); fclose(certifiedOutput); } if (status == l_True){ // Extend & copy model: model.growTo(nVars()); for (int i = 0; i < nVars(); i++) model[i] = value(i); }else if (status == l_False && conflict.size() == 0) ok = false; cancelUntil(0); double finalTime = cpuTime(); if(status==l_True) { nbSatCalls++; totalTime4Sat +=(finalTime-curTime); } if(status==l_False) { nbUnsatCalls++; totalTime4Unsat +=(finalTime-curTime); } // ABC callback if (pCnfFunc && !terminate_search_early) {// hack to avoid calling callback twise if the solver was terminated early int * pCex = NULL; int message = (status == l_True ? 1 : status == l_False ? 0 : -1); if (status == l_True) { pCex = new int[nVars()]; for (int i = 0; i < nVars(); i++) pCex[i] = (model[i] == l_True); } int callback_result = pCnfFunc(pCnfMan, message, pCex); assert(callback_result == 0); } else if (pCnfFunc) terminate_search_early = false; // for next run return status; } //================================================================================================= // Writing CNF to DIMACS: // // FIXME: this needs to be rewritten completely. static Var mapVar(Var x, vec& map, Var& max) { if (map.size() <= x || map[x] == -1){ map.growTo(x+1, -1); map[x] = max++; } return map[x]; } void Solver::toDimacs(FILE* f, Clause& c, vec& map, Var& max) { if (satisfied(c)) return; for (int i = 0; i < c.size(); i++) if (value(c[i]) != l_False) fprintf(f, "%s%d ", sign(c[i]) ? "-" : "", mapVar(var(c[i]), map, max)+1); fprintf(f, "0\n"); } void Solver::toDimacs(const char *file, const vec& assumps) { FILE* f = fopen(file, "wr"); if (f == NULL) fprintf(stderr, "could not open file %s\n", file), exit(1); toDimacs(f, assumps); fclose(f); } void Solver::toDimacs(FILE* f, const vec& assumps) { // Handle case when solver is in contradictory state: if (!ok){ fprintf(f, "p cnf 1 2\n1 0\n-1 0\n"); return; } vec map; Var max = 0; // Cannot use removeClauses here because it is not safe // to deallocate them at this point. Could be improved. int i, cnt = 0; for (i = 0; i < clauses.size(); i++) if (!satisfied(ca[clauses[i]])) cnt++; for (i = 0; i < clauses.size(); i++) if (!satisfied(ca[clauses[i]])){ Clause& c = ca[clauses[i]]; for (int j = 0; j < c.size(); j++) if (value(c[j]) != l_False) mapVar(var(c[j]), map, max); } // Assumptions are added as unit clauses: cnt += assumptions.size(); fprintf(f, "p cnf %d %d\n", max, cnt); for (i = 0; i < assumptions.size(); i++){ assert(value(assumptions[i]) != l_False); fprintf(f, "%s%d 0\n", sign(assumptions[i]) ? "-" : "", mapVar(var(assumptions[i]), map, max)+1); } for (i = 0; i < clauses.size(); i++) toDimacs(f, ca[clauses[i]], map, max); if (verbosity > 0) printf("Wrote %d clauses with %d variables.\n", cnt, max); } //================================================================================================= // Garbage Collection methods: void Solver::relocAll(ClauseAllocator& to) { int v, s, i, j; // All watchers: // // for (int i = 0; i < watches.size(); i++) watches.cleanAll(); watchesBin.cleanAll(); for (v = 0; v < nVars(); v++) for (s = 0; s < 2; s++){ Lit p = mkLit(v, s != 0); // printf(" >>> RELOCING: %s%d\n", sign(p)?"-":"", var(p)+1); vec& ws = watches[p]; for (j = 0; j < ws.size(); j++) ca.reloc(ws[j].cref, to); vec& ws2 = watchesBin[p]; for (j = 0; j < ws2.size(); j++) ca.reloc(ws2[j].cref, to); } // All reasons: // for (i = 0; i < trail.size(); i++){ Var v = var(trail[i]); if (reason(v) != CRef_Undef && (ca[reason(v)].reloced() || locked(ca[reason(v)]))) ca.reloc(vardata[v].reason, to); } // All learnt: // for (i = 0; i < learnts.size(); i++) ca.reloc(learnts[i], to); // All original: // for (i = 0; i < clauses.size(); i++) ca.reloc(clauses[i], to); } void Solver::garbageCollect() { // Initialize the next region to a size corresponding to the estimated utilization degree. This // is not precise but should avoid some unnecessary reallocations for the new region: ClauseAllocator to(ca.size() - ca.wasted()); relocAll(to); if (verbosity >= 2) printf("| Garbage collection: %12d bytes => %12d bytes |\n", ca.size()*ClauseAllocator::Unit_Size, to.size()*ClauseAllocator::Unit_Size); to.moveTo(ca); }