lbool Solver::search(int nof_conflicts, int nof_learnts)
{
assert(ok);
int backtrack_level;
int conflictsC = 0;
vec<Lit> learnt_clause;
int nblevels=0,nbCC=0,merged=0;
starts++;
bool first = true;
for (;;){
Clause* confl = propagate();
//Conflict at a later stage.
if (backup.running
&& confl != NULL
&& backup.stage == 1
) {
#ifdef RESTORE_FULL
printf("Somebody else (maybe bin clause) did the conflict -- stage is one, going 2\n");
#endif
fullCancelUntil(backup.level, backup.sublevel);
backup.stage = 2;
continue;
}
if (confl != NULL){
assert(backup.stage == 0);
// CONFLICT
conflicts++; conflictsC++;cons++;nbCC++;
if (decisionLevel() == 0) return l_False;
first = false;
learnt_clause.clear();
analyze(confl, learnt_clause, backtrack_level,nblevels,merged);
conf4Stats++;
nbDecisionLevelHistory.push(nblevels);
totalSumOfDecisionLevel += nblevels;
cancelUntil(backtrack_level);
assert(value(learnt_clause[0]) == l_Undef);
if (learnt_clause.size() == 1){
assert(decisionLevel() == 0);
uncheckedEnqueue(learnt_clause[0]);
nbUn++;
}else{
Clause* c = Clause_new(learnt_clause, clIndex++, conflicts, true);
dumpFile << "INSERT INTO clausedata(runID, idx, timeofcreation, size) VALUES("
<< runID << ","
<< c->getIndex() << ","
<< c->getTimeOfCreation() << ","
<< c->size()
<< ");" << std::endl;
learnts.push(c);
c->setActivity(nblevels); // LS
if(nblevels<=2) nbDL2++;
if(c->size()==2) nbBin++;
attachClause(*c);
uncheckedEnqueue(learnt_clause[0], c);
if (backup.running
&& backup.stage == 0
) {
saveState();
#ifdef RESTORE
printf("Saving state after conflict at dec level: %d, sublevel: %d\n", decisionLevel(), trail.size());
#endif
}
}
varDecayActivity();
}else{
if (backup.stage == 0
&& nbDecisionLevelHistory.isvalid()
&& ((nbDecisionLevelHistory.getavg()*0.7) > (totalSumOfDecisionLevel / conf4Stats))
) {
nbDecisionLevelHistory.fastclear();
progress_estimate = progressEstimate();
cancelUntil(0);
return l_Undef;
}
// Simplify the set of problem clauses:
if (backup.stage == 0
&& decisionLevel() == 0 && !simplify()
) {
return l_False;
}
Lit next = lit_Undef;
if (backup.stage == 0
&& ((cons-curRestart * nbclausesbeforereduce) >=0)
) {
curRestart = (conflicts/ nbclausesbeforereduce)+1;
reduceDB();
nbclausesbeforereduce += 500;
}
if (next == lit_Undef){
// New variable decision:
decisions++;
next = pickBranchLit(polarity_mode, random_var_freq);
if (next == lit_Undef)
// Model found:
return l_True;
}
// Increase decision level and enqueue 'next'
assert(value(next) == l_Undef);
newDecisionLevel();
uncheckedEnqueue(next);
if (backup.running
&& backup.stage == 0
) {
saveState();
#ifdef RESTORE
printf("Saving state after pickbranch at dec level: %d, sublevel: %d\n", decisionLevel(), trail.size());
printf("sublevel: %d, level: %d, qhead:%d\n", trail.size(), decisionLevel(), qhead);
#endif
}
}
}
}
lbool Solver::search(int nof_conflicts, int nof_learnts)
{
assert(ok);
int backtrack_level;
int conflictsC = 0;
vec<Lit> learnt_clause;
int nblevels=0,nbCC=0,merged=0;
starts++;
bool first = true;
for (;;){
Clause* confl = propagate();
if (confl != NULL){
// CONFLICT
conflicts++; conflictsC++;cons++;nbCC++;
if (decisionLevel() == 0) return l_False;
first = false;
learnt_clause.clear();
analyze(confl, learnt_clause, backtrack_level,nblevels,merged);
conf4Stats++;
nbDecisionLevelHistory.push(nblevels);
totalSumOfDecisionLevel += nblevels;
cancelUntil(backtrack_level);
assert(value(learnt_clause[0]) == l_Undef);
if (learnt_clause.size() == 1){
uncheckedEnqueue(learnt_clause[0]);
nbUn++;
}else{
Clause* c = Clause_new(learnt_clause, true);
learnts.push(c);
c->setActivity(nblevels); // LS
if(nblevels<=2) nbDL2++;
if(c->size()==2) nbBin++;
attachClause(*c);
claBumpActivity(*c);
uncheckedEnqueue(learnt_clause[0], c);
}
varDecayActivity();
claDecayActivity();
}else{
if (
( nbDecisionLevelHistory.isvalid() &&
((nbDecisionLevelHistory.getavg()*0.7) > (totalSumOfDecisionLevel / conf4Stats)))) {
nbDecisionLevelHistory.fastclear();
progress_estimate = progressEstimate();
cancelUntil(0);
return l_Undef; }
// Simplify the set of problem clauses:
if (decisionLevel() == 0 && !simplify())
return l_False;
//
Lit next = lit_Undef;
if(cons-curRestart* nbclausesbeforereduce>=0)
{
curRestart = (conflicts/ nbclausesbeforereduce)+1;
reduceDB();
nbclausesbeforereduce += 500;
}
if (next == lit_Undef){
// New variable decision:
decisions++;
next = pickBranchLit(polarity_mode, random_var_freq);
if (next == lit_Undef)
// Model found:
return l_True;
}
// Increase decision level and enqueue 'next'
assert(value(next) == l_Undef);
newDecisionLevel();
uncheckedEnqueue(next);
}
}
}