I'm not aware of any library methods that will do this transformation. Here's how I'd do it. It's pretty straightforward, IMO.
public class Tree {
public Tree(String key) {
// ...
}
public void addChild(Tree child) {
// ...
}
}
public Set<Tree> transform(Map<String, List<String>> input) {
// Potential tree roots. We start with all LHS keys as potential roots,
// and eliminate them when we see their keys on the RHS.
Set<String> roots = new HashSet<String>(input.keySet());
// This map associates keys with the tree nodes that we create for them
Map<String, Tree> map = new HashMap<String, Tree>();
for (Map.Entry<String, List<String>> entry : input.entrySet()) {
String key = entry.getKey();
List<String> childKeys = entry.getValue();
Tree tree = map.get(key);
if (tree == null) {
tree = new Tree(key);
map.put(key, tree);
}
for (String childKey : childKeys) {
roots.remove(childKey);
Tree child = map.get(childKey);
if (child == null) {
child = new Tree(childKey);
map.put(childKey, child);
}
tree.addChild(child);
}
}
Set<Tree> res = new HashSet<Tree>(roots.size());
for (String key : roots) {
res.add(map.get(key));
}
return res;
}
EDIT: Note this algorithm will "work" if the input represents a set of DAGs (Directed Acyclic Graphs). However, I've just realized that the resulting a set of trees will share TreeNode instances for any common subtrees in the input data.
Beware that I haven't debugged this code :-)