public static SparseTensor operator -(SparseTensor st1, SparseTensor st2)
{
SparseTensor newST = new SparseTensor();
foreach (KeyValuePair <int, SparseMatrix> kvp in st1.tensor)
{
if (st2.tensor.ContainsKey(kvp.Key))
{
newST.tensor.Add(kvp.Key, kvp.Value - st2.getMatrix(kvp.Key));
}
else
{
newST.tensor.Add(kvp.Key, kvp.Value);
}
}
foreach (KeyValuePair <int, SparseMatrix> kvp in st2.tensor)
{
if (!st1.tensor.ContainsKey(kvp.Key))
{
SparseMatrix tempMat = new SparseMatrix();
tempMat = tempMat - kvp.Value;
newST.tensor.Add(kvp.Key, tempMat);
}
}
return(newST);
}
public void copy(SparseTensor ts)
{
foreach (int id in ts.tensor.Keys)
{
SparseMatrix mat = new SparseMatrix();
mat.copy(ts.tensor[id]);
this.tensor.Add(id, mat);
}
}
public void copy(SparseTensor ts)
{
foreach (int id in ts.tensor.Keys)
{
SparseMatrix mat = new SparseMatrix();
mat.copy(ts.tensor[id]);
this.tensor.Add(id, mat);
}
}
public SparseTensor network; //objID->sparseMatrix(objID, type, attributeID, count)
public Network(int n)
{
entityList = new Entity[n];
for (int i = 0; i < n; i++)
{
entityList[i] = new Entity();
}
network = new SparseTensor();
}
public static Network operator +(Network net1, Network net2)
{
int n = net1.entityList.Length;
Network curNet = new Network(n);
Entity[] curEntList = new Entity[n];
//aggregate the entitylist
for (int i = 0; i < n; i++)
{
curEntList[i] = new Entity();
curEntList[i].copy(net1.entityList[i]);
curEntList[i].additems(net2.entityList[i]);
}
//aggregate the network
SparseTensor curNetTensor = new SparseTensor();
curNetTensor = net1.network + net2.network;
curNet.entityList = curEntList;
curNet.network = curNetTensor;
return curNet;
}
public static SparseTensor operator -(SparseTensor st1, SparseTensor st2)
{
SparseTensor newST = new SparseTensor();
foreach (KeyValuePair<int, SparseMatrix> kvp in st1.tensor)
{
if (st2.tensor.ContainsKey(kvp.Key))
{
newST.tensor.Add(kvp.Key, kvp.Value - st2.getMatrix(kvp.Key));
}
else
{
newST.tensor.Add(kvp.Key, kvp.Value);
}
}
foreach (KeyValuePair<int, SparseMatrix> kvp in st2.tensor)
{
if (!st1.tensor.ContainsKey(kvp.Key))
{
SparseMatrix tempMat = new SparseMatrix();
tempMat = tempMat - kvp.Value;
newST.tensor.Add(kvp.Key, tempMat);
}
}
return newST;
}
