public CausalBehaviouralProfile<NetSystem, Node> deriveCausalBehaviouralProfile(
NetSystem pn, Collection<Node> nodes) {
/*
* The construction of the WF-tree may augment the original net. Therefore,
* we clone the net and derive the WF-tree for the clone. We use a dedicated
* clone method that provides us with an according node mapping between the
* original net and the clone.
*/
NetSystem netClone = null;
Map<Node, Node> nodeMapping = new HashMap<Node, Node>();
netClone = (NetSystem) pn.clone(nodeMapping);
// Fall back to original net
if (netClone == null) {
netClone = pn;
for (Node n : pn.getNodes()) nodeMapping.put(n, n);
}
WFTreeHandler wfTreeHandler = new WFTreeHandler(netClone);
CausalBehaviouralProfile<NetSystem, Node> profile =
new CausalBehaviouralProfile<NetSystem, Node>(pn, nodes);
RelSetType[][] matrix = profile.getMatrix();
boolean[][] cooccurrenceMatrix = profile.getCooccurrenceMatrix();
for (Node t1 : profile.getEntities()) {
int index1 = profile.getEntities().indexOf(t1);
for (Node t2 : profile.getEntities()) {
int index2 = profile.getEntities().indexOf(t2);
if (wfTreeHandler.areCooccurring(nodeMapping.get(t1), nodeMapping.get(t2)))
cooccurrenceMatrix[index1][index2] = true;
/*
* The behavioural profile matrix is symmetric. Therefore, we
* need to traverse only half of the entries.
*/
if (index2 > index1) continue;
if (wfTreeHandler.areExclusive(nodeMapping.get(t1), nodeMapping.get(t2))) {
super.setMatrixEntry(matrix, index1, index2, RelSetType.Exclusive);
} else if (wfTreeHandler.areInterleaving(nodeMapping.get(t1), nodeMapping.get(t2))) {
super.setMatrixEntry(matrix, index1, index2, RelSetType.Interleaving);
} else if (wfTreeHandler.areInOrder(nodeMapping.get(t1), nodeMapping.get(t2))) {
if (wfTreeHandler.areInStrictOrder(nodeMapping.get(t1), nodeMapping.get(t2)))
super.setMatrixEntryOrder(matrix, index1, index2);
else super.setMatrixEntryOrder(matrix, index2, index1);
}
}
}
return profile;
}
public CausalBehaviouralProfile<NetSystem, Node> deriveCausalBehaviouralProfile(
BehaviouralProfile<NetSystem, Node> bp) {
NetSystem pn = bp.getModel();
/*
* The construction of the WF-tree may augment the original net. Therefore,
* we clone the net and derive the WF-tree for the clone. We use a dedicated
* clone method that provides us with an according node mapping between the
* original net and the clone.
*/
NetSystem netClone = null;
Map<Node, Node> nodeMapping = new HashMap<Node, Node>();
netClone = (NetSystem) pn.clone(nodeMapping);
// Fall back to original net
if (netClone == null) netClone = pn;
WFTreeHandler wfTreeHandler = new WFTreeHandler(netClone);
/*
* Get the behavioural profile
*/
CausalBehaviouralProfile<NetSystem, Node> profile =
new CausalBehaviouralProfile<NetSystem, Node>(pn, bp.getEntities());
profile.setMatrix(bp.getMatrix());
boolean[][] cooccurrenceMatrix = profile.getCooccurrenceMatrix();
for (Node t1 : profile.getEntities()) {
int index1 = profile.getEntities().indexOf(t1);
for (Node t2 : profile.getEntities()) {
int index2 = profile.getEntities().indexOf(t2);
if (wfTreeHandler.areCooccurring(nodeMapping.get(t1), nodeMapping.get(t2)))
cooccurrenceMatrix[index1][index2] = true;
}
}
return profile;
}
public CausalBehaviouralProfile<NetSystem, Node> deriveCausalBehaviouralProfile(NetSystem pn) {
return deriveCausalBehaviouralProfile(pn, new ArrayList<Node>(pn.getTransitions()));
}
