/*
* Just a helper method to avoid ugly code in Parser#readEdges method. It just
* populates \a nodes list with either a given \a v node (if not nullptr) or all
* nodes in certain cluster found by performing a lookup with given \a id in
* \a clusterId association.
*/
static inline bool edgeNodes(
node v,
const std::string &id,
const HashArray<std::string, cluster> &clusterId,
List<node> &nodes)
{
if(v) {
nodes.clear();
nodes.pushBack(v);
} else {
const cluster c = clusterId[id];
if(!c) {
return false;
}
c->getClusterNodes(nodes);
}
return true;
}
//todo: is called only once, but could be sped up the same way as the co-conn check
void MaxCPlanarMaster::clusterConnection(cluster c, GraphCopy &gc, double &upperBoundC) {
// For better performance, a node array is used to indicate which nodes are contained
// in the currently considered cluster.
NodeArray<bool> vInC(gc,false);
// First check, if the current cluster \a c is a leaf cluster.
// If so, compute the number of edges that have at least to be added
// to make the cluster induced graph connected.
if (c->cCount()==0) { //cluster \a c is a leaf cluster
GraphCopy *inducedC = new GraphCopy((const Graph&)gc);
List<node> clusterNodes;
c->getClusterNodes(clusterNodes); // \a clusterNodes now contains all (original) nodes of cluster \a c.
for (node w : clusterNodes) {
vInC[gc.copy(w)] = true;
}
// Delete all nodes from \a inducedC that do not belong to the cluster,
// in order to obtain the cluster induced graph.
node v = inducedC->firstNode();
while (v!=nullptr) {
node w = v->succ();
if (!vInC[inducedC->original(v)]) inducedC->delNode(v);
v = w;
}
// Determine number of connected components of cluster induced graph.
//Todo: check could be skipped
if (!isConnected(*inducedC)) {
NodeArray<int> conC(*inducedC);
int nCC = connectedComponents(*inducedC,conC);
//at least #connected components - 1 edges have to be added.
upperBoundC -= (nCC-1)*m_largestConnectionCoeff;
}
delete inducedC;
// Cluster \a c is an "inner" cluster. Process all child clusters first.
} else { //c->cCount is != 0, process all child clusters first
for (cluster ci : c->children) {
clusterConnection(ci, gc, upperBoundC);
}
// Create cluster induced graph.
GraphCopy *inducedC = new GraphCopy((const Graph&)gc);
List<node> clusterNodes;
c->getClusterNodes(clusterNodes); //\a clusterNodes now contains all (original) nodes of cluster \a c.
for (node w : clusterNodes) {
vInC[gc.copy(w)] = true;
}
node v = inducedC->firstNode();
while (v!=nullptr) {
node w = v->succ();
if (!vInC[inducedC->original(v)]) inducedC->delNode(v);
v = w;
}
// Now collapse each child cluster to one node and determine #connected components of \a inducedC.
List<node> oChildClusterNodes;
List<node> cChildClusterNodes;
for (cluster ci : c->children) {
ci->getClusterNodes(oChildClusterNodes);
// Compute corresponding nodes of graph \a inducedC.
for (node u : oChildClusterNodes) {
node copy = inducedC->copy(gc.copy(u));
cChildClusterNodes.pushBack(copy);
}
inducedC->collapse(cChildClusterNodes);
oChildClusterNodes.clear();
cChildClusterNodes.clear();
}
// Now, check \a inducedC for connectivity.
if (!isConnected(*inducedC)) {
NodeArray<int> conC(*inducedC);
int nCC = connectedComponents(*inducedC,conC);
//at least #connected components - 1 edges have to added.
upperBoundC -= (nCC-1)*m_largestConnectionCoeff;
}
delete inducedC;
}
}//clusterConnection