/**
* Returns an array R of longs such that for each i, j in [0..R.length) i < j implies that the
* formula identified by (int)R[i] in this.hits contributes fewer clauses to the core of the given
* trace than the formula identified by (int)R[j].
*
* @return an array as described above
*/
private long[] sortByRelevance(ResolutionTrace trace, IntSet relevantVars) {
hits.indices().retainAll(relevantVars);
if (hits.get(hits.indices().min()) == null) { // first call, initialize the hits
for (IntIterator varItr = relevantVars.iterator(); varItr.hasNext(); ) {
final int var = varItr.next();
final IntSet varReachable = new IntBitSet(var + 1);
varReachable.add(var);
hits.put(var, varReachable);
}
for (Iterator<Clause> clauseItr = trace.reverseIterator(trace.axioms());
clauseItr.hasNext(); ) {
final Clause clause = clauseItr.next();
final int maxVar = clause.maxVariable();
for (IntSet reachableVars : hits.values()) {
if (reachableVars.contains(maxVar)) {
for (IntIterator lits = clause.literals(); lits.hasNext(); ) {
reachableVars.add(StrictMath.abs(lits.next()));
}
}
}
}
}
final long[] counts = new long[hits.size()];
for (Iterator<Clause> clauseItr = trace.iterator(trace.core()); clauseItr.hasNext(); ) {
final Clause clause = clauseItr.next();
final int maxVar = clause.maxVariable();
int i = 0;
for (IntSet reachableVars : hits.values()) {
if (reachableVars.contains(maxVar)) {
counts[i]++;
}
i++;
}
}
int i = 0;
for (IntIterator varItr = hits.indices().iterator(); varItr.hasNext(); ) {
final int var = varItr.next();
counts[i] = (counts[i] << 32) | var;
i++;
}
Arrays.sort(counts);
return counts;
}
/**
* {@inheritDoc}
*
* @see kodkod.engine.satlab.ReductionStrategy#next(kodkod.engine.satlab.ResolutionTrace)
*/
public IntSet next(ResolutionTrace trace) {
if (hits.isEmpty()) return Ints.EMPTY_SET; // tried everything
final IntSet relevantVars = StrategyUtils.coreTailUnits(trace);
final long[] byRelevance = sortByRelevance(trace, relevantVars);
if (DBG) printRelevant(byRelevance);
for (int i = byRelevance.length - 1; i >= 0; i--) {
final int var = (int) byRelevance[i];
if (hits.remove(var) != null) {
// remove maxVar from the set of relevant variables
relevantVars.remove(var);
if (relevantVars.isEmpty()) break; // there was only one root formula left
// get all axioms and resolvents corresponding to the clauses that
// form the translations of formulas identified by relevant vars
final IntSet relevantClauses = clausesFor(trace, relevantVars);
assert !relevantClauses.isEmpty() && !relevantClauses.contains(trace.size() - 1);
if (DBG)
System.out.println("relevant clauses: " + relevantClauses.size() + ", removed " + var);
return relevantClauses;
}
}
hits.clear();
return Ints.EMPTY_SET;
}
/**
* Returns the indices of all axioms and resolvents in the given trace that form the translations
* of the formulas identified by the given variables. This method assumes that the axioms in the
* given trace were generated by the Kodkod {@linkplain Translator}.
*
* @return let C = { c: trace.prover.clauses | c.maxVariable() in relevantVars }, T = { c1, c2: C
* | c2.maxVariable() in abs(c1.literals) }, A = C.*T | trace.backwardReachable(A) -
* trace.backwardReachable(trace.axioms() - A)
*/
private IntSet clausesFor(ResolutionTrace trace, IntSet relevantVars) {
final double hardness = (double) trace.size() / (double) trace.axioms().size();
final double coreRatio = ((double) trace.core().size() / (double) trace.axioms().size());
if (DBG)
System.out.println(
"trace size: "
+ trace.size()
+ ", axioms: "
+ trace.axioms().size()
+ ", core: "
+ trace.core().size()
+ ", resolvents: "
+ trace.resolvents().size());
if (DBG) System.out.println("hardness: " + hardness + ", coreRatio: " + coreRatio);
final IntSet relevantAxioms = StrategyUtils.clausesFor(trace, relevantVars);
if (DBG) System.out.println("relevant axioms: " + relevantAxioms.size());
if (coreRatio < noRecycleRatio) {
return relevantAxioms;
} else if (hardness < hardnessCutOff) {
return trace.learnable(relevantAxioms);
} else {
IntSet current = relevantAxioms, last;
final int maxRelevant = (int) Math.rint(relevantAxioms.size() * recycleLimit);
do {
last = current;
current = trace.directlyLearnable(current);
} while (last.size() < current.size() && current.size() < maxRelevant);
if (DBG)
System.out.println(
"last: "
+ last.size()
+ ", current: "
+ current.size()
+ ", maxRelevant: "
+ maxRelevant);
return current.size() < maxRelevant ? current : last;
}
}
