public int topDownUnorderedMaxCommonSubtreeIso(Node r1, Node r2)
{
//Cannot find a isomophism when the labels differ
if (r1.getId() != r2.getId())
{
return(0);
}
//The isomorphism has size 0 or 1 if one of the nodes are leaf nodes
if (r1.isLeaf() || r2.isLeaf())
{
return((r1.getId() == r2.getId()) ? 1 : 0);
}
int result;
Node rp1 = r1.Parent;
Node rp2 = r2.Parent;
//Use LCS if r1 and r2 are root nodes in subtrees that represents method bodies.
if ((rp1 != null && r1.getId() == SyntaxKind.Block && rp1.getId() == SyntaxKind.MethodDeclaration) &&
(rp2 != null && r2.getId() == SyntaxKind.Block && rp2.getId() == SyntaxKind.MethodDeclaration))
{
int res = lcs(r1, r2);
result = res;
}
else
{
int p = r1.Size;
int q = r2.Size;
//Each child of r1 has a corresponding vertex in the bipartite graph. A map from node to vertex.
Dictionary <Node, Vertex> T1G = new Dictionary <Node, Vertex>(p);
//Each child of r2 has a corresponding vertex in the bipartite graph. A map from node to vertex.
Dictionary <Node, Vertex> T2G = new Dictionary <Node, Vertex>(q);
//A map from vertex to node.
Dictionary <Vertex, Node> GT = new Dictionary <Vertex, Node>(p + q);
//There is maximum p*q edges in the bipartite graph.
List <Edge> edges = new List <Edge>(p * q);
//The vertices that represents the children of r1.
List <Vertex> U = new List <Vertex>(p);
foreach (Node v1 in r1.Children)
{
//q is the number of neighbors that v can have in the bipartite graph.
Vertex v = new Vertex(q);
U.Add(v);
GT.Add(v, v1);
T1G.Add(v1, v);
}
//The vertices that represents the children of r2.
List <Vertex> W = new List <Vertex>(q);
foreach (Node v2 in r2.Children)
{
//p is the number of neighbors that w can have in the bipartite graph.
Vertex w = new Vertex(p);
W.Add(w);
GT.Add(w, v2);
T2G.Add(v2, w);
}
//List of matched edges
List <Edge> list = null;
foreach (Node v1 in r1.Children)
{
foreach (Node v2 in r2.Children)
{
//Find max common subtree between v1 and v2
int res = topDownUnorderedMaxCommonSubtreeIso(v1, v2);
//If max common subtree
if (res != 0)
{
Vertex v = T1G[v1];
//Insert edge between v1 and v2
Edge e = v.insertEdge(T2G[v2]);
//Set cost of edge to res (size of max common subtree)
e.setCost(res);
edges.Add(e);
}
}
}
//Find the children of r1 and r2 that are part of r1's and r2's max common subtree
BipartiteMatching bm = new BipartiteMatching();
list = bm.maxWeightBipartiteMatching(U, W, edges, p, q);
//Can map r1 to r2
int ress = 1;
//Go through the mached edges in the bipartite graph
foreach (Edge e in list)
{
List <Node> nodeList;
//All edges goes from the children of r1 to the children of r2
Node v = GT[e.getSource()];
Node w = GT[e.getTarget()];
//v is already in B
if (bMap.ContainsKey(v))
{
nodeList = bMap[v];
}
//First time we insert v. Create a list for the nodes that can be mapped to v.
else
{
nodeList = new List <Node>(100);
}
//Insert w into the list
nodeList.Add(w);
bMap[v] = nodeList;
//Add the size of the max common subtree between v and w to res.
ress += e.getCost();
}
result = ress;
}
return(result);
}
public int topDownUnorderedMaxCommonSubtreeIso(Node r1, Node r2)
{
//Cannot find a isomophism when the labels differ
if (r1.getId() != r2.getId())
{
return 0;
}
//The isomorphism has size 0 or 1 if one of the nodes are leaf nodes
if (r1.isLeaf() || r2.isLeaf())
{
return (r1.getId() == r2.getId()) ? 1 : 0;
}
int result;
Node rp1 = r1.Parent;
Node rp2 = r2.Parent;
//Use LCS if r1 and r2 are root nodes in subtrees that represents method bodies.
if ((rp1 != null && r1.getId() == SyntaxKind.Block && rp1.getId() == SyntaxKind.MethodDeclaration)
&& (rp2 != null && r2.getId() == SyntaxKind.Block && rp2.getId() == SyntaxKind.MethodDeclaration))
{
int res = lcs(r1, r2);
result = res;
}
else
{
int p = r1.Size;
int q = r2.Size;
//Each child of r1 has a corresponding vertex in the bipartite graph. A map from node to vertex.
Dictionary<Node, Vertex> T1G = new Dictionary<Node, Vertex>(p);
//Each child of r2 has a corresponding vertex in the bipartite graph. A map from node to vertex.
Dictionary<Node, Vertex> T2G = new Dictionary<Node, Vertex>(q);
//A map from vertex to node.
Dictionary<Vertex, Node> GT = new Dictionary<Vertex, Node>(p + q);
//There is maximum p*q edges in the bipartite graph.
List<Edge> edges = new List<Edge>(p * q);
//The vertices that represents the children of r1.
List<Vertex> U = new List<Vertex>(p);
foreach (Node v1 in r1.Children)
{
//q is the number of neighbors that v can have in the bipartite graph.
Vertex v = new Vertex(q);
U.Add(v);
GT.Add(v, v1);
T1G.Add(v1, v);
}
//The vertices that represents the children of r2.
List<Vertex> W = new List<Vertex>(q);
foreach (Node v2 in r2.Children)
{
//p is the number of neighbors that w can have in the bipartite graph.
Vertex w = new Vertex(p);
W.Add(w);
GT.Add(w, v2);
T2G.Add(v2, w);
}
//List of matched edges
List<Edge> list = null;
foreach (Node v1 in r1.Children)
{
foreach (Node v2 in r2.Children)
{
//Find max common subtree between v1 and v2
int res = topDownUnorderedMaxCommonSubtreeIso(v1, v2);
//If max common subtree
if (res != 0)
{
Vertex v = T1G[v1];
//Insert edge between v1 and v2
Edge e = v.insertEdge(T2G[v2]);
//Set cost of edge to res (size of max common subtree)
e.setCost(res);
edges.Add(e);
}
}
}
//Find the children of r1 and r2 that are part of r1's and r2's max common subtree
BipartiteMatching bm = new BipartiteMatching();
list = bm.maxWeightBipartiteMatching(U, W, edges, p, q);
//Can map r1 to r2
int ress = 1;
//Go through the mached edges in the bipartite graph
foreach (Edge e in list)
{
List<Node> nodeList;
//All edges goes from the children of r1 to the children of r2
Node v = GT[e.getSource()];
Node w = GT[e.getTarget()];
//v is already in B
if (bMap.ContainsKey(v))
{
nodeList = bMap[v];
}
//First time we insert v. Create a list for the nodes that can be mapped to v.
else
{
nodeList = new List<Node>(100);
}
//Insert w into the list
nodeList.Add(w);
bMap[v] = nodeList;
//Add the size of the max common subtree between v and w to res.
ress += e.getCost();
}
result = ress;
}
return result;
}
