// Test node, edge attribute functionality
TEST(TNEANet, AddEdgeNodeAfterAttrAdded) {
PNEANet Graph;
Graph = TNEANet::New();
TStr StrAttr("name");
TStr EIntAttr("weight");
TStr NIntAttr("test");
Graph->AddStrAttrN(StrAttr);
Graph->AddIntAttrN(NIntAttr);
Graph->AddIntAttrE(EIntAttr);
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddNode(2);
Graph->AddStrAttrDatN(0, "zero", StrAttr);
Graph->AddStrAttrDatN(1, "one", StrAttr);
Graph->AddStrAttrDatN(2, "two", StrAttr);
Graph->AddEdge(0, 1);
Graph->AddEdge(1, 2);
Graph->AddEdge(2, 0);
for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
Graph->AddIntAttrDatE(EI.GetId(), EI.GetId()*3+1, EIntAttr);
}
for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
TInt AttrVal = Graph->GetIntAttrDatE(EI.GetId(), EIntAttr);
ASSERT_EQ(EI.GetId()*3+1, AttrVal);
}
}
void node2vec(PNEANet& InNet, double& ParamP, double& ParamQ,
int& Dimensions, int& WalkLen, int& NumWalks, int& WinSize, int& Iter, bool& Verbose,
TIntFltVH& EmbeddingsHV) {
PWNet NewNet = PWNet::New();
for (TNEANet::TEdgeI EI = InNet->BegEI(); EI < InNet->EndEI(); EI++) {
if (!NewNet->IsNode(EI.GetSrcNId())) { NewNet->AddNode(EI.GetSrcNId()); }
if (!NewNet->IsNode(EI.GetDstNId())) { NewNet->AddNode(EI.GetDstNId()); }
NewNet->AddEdge(EI.GetSrcNId(), EI.GetDstNId(), InNet->GetFltAttrDatE(EI,"weight"));
}
node2vec(NewNet, ParamP, ParamQ, Dimensions, WalkLen, NumWalks, WinSize, Iter,
Verbose, EmbeddingsHV);
}
TPRManager(PNEANet &Net) : Net(Net), CapIndex(0), FlowV(Net->GetMxEId()), ExcessV(Net->GetMxNId()), EdgeNumsV(Net->GetMxNId()), LabelsV(Net->GetMxNId()), LabelCounts(Net->GetNodes() + 1), LabelLimit(0), MaxLabel(Net->GetNodes()), ActiveNodeSet(Net->GetMxNId()), ActiveCount(0) {
CapIndex = Net->GetIntAttrIndE(CapAttrName);
for (int i = 0; i <= Net->GetNodes(); i++) { LabelCounts[i] = 0; }
for (TNEANet::TEdgeI EI = Net->BegEI(); EI != Net->EndEI(); EI++) {
int EId = EI.GetId();
IAssert(Capacity(EId) >= 0);
FlowV[EId] = 0;
}
for (TNEANet::TNodeI NI = Net->BegNI(); NI != Net->EndNI(); NI++) {
int NId = NI.GetId();
ExcessV[NId] = 0;
EdgeNumsV[NId] = 0;
ActiveNodeSet[NId] = 0;
}
LabelCounts[0] = Net->GetNodes();
}
int GetMaxFlowIntEK (PNEANet &Net, const int &SrcNId, const int &SnkNId) {
IAssert(Net->IsNode(SrcNId));
IAssert(Net->IsNode(SnkNId));
if (SrcNId == SnkNId) { return 0; }
int CapIndex = Net->GetIntAttrIndE(CapAttrName);
TIntV Flow(Net->GetMxEId());
// Initialize flow values to 0, and make sure capacities are nonnegative
for (TNEANet::TEdgeI EI = Net->BegEI(); EI != Net->EndEI(); EI++) {
IAssert(Net->GetIntAttrIndDatE(EI, CapIndex) >= 0);
Flow[EI.GetId()] = 0;
}
// Return 0 if user attempts to flow from a node to itself.
if (SrcNId == SnkNId) { return 0; }
int MaxFlow = 0, MinAug, CurNId;
while (true) {
TIntV MidToSrcAugV; TIntV MidToSnkAugV;
TIntQ FwdNodeQ; TIntQ BwdNodeQ;
TIntH PredEdgeH; TIntH SuccEdgeH;
MinAug = FindAugV(Net, CapIndex, Flow, FwdNodeQ, PredEdgeH, BwdNodeQ, SuccEdgeH, MidToSrcAugV, MidToSnkAugV, SrcNId, SnkNId);
if (MinAug == 0) { break; }
MaxFlow += MinAug;
CurNId = SrcNId;
for (int i = MidToSrcAugV.Len() - 1; i >= 0; i--) {
int NextEId = MidToSrcAugV[i];
const TNEANet::TEdgeI &EI = Net->GetEI(NextEId);
if (EI.GetSrcNId() == CurNId) {
Flow[NextEId] += MinAug;
CurNId = EI.GetDstNId();
} else {
Flow[NextEId] -= MinAug;
CurNId = EI.GetSrcNId();
}
}
for (int i = 0; i < MidToSnkAugV.Len(); i++) {
int NextEId = MidToSnkAugV[i];
const TNEANet::TEdgeI &EI = Net->GetEI(NextEId);
if (EI.GetSrcNId() == CurNId) {
Flow[NextEId] += MinAug;
CurNId = EI.GetDstNId();
} else {
Flow[NextEId] -= MinAug;
CurNId = EI.GetSrcNId();
}
}
}
return MaxFlow;
}
// Test node, edge creation
void ManipulateNodesEdges() {
int NNodes = 1000;
int NEdges = 100000;
const char *FName = "demo.graph.dat";
PNEANet Graph;
PNEANet Graph1;
PNEANet Graph2;
int i;
int n;
int NCount;
int ECount1;
int ECount2;
int x,y;
bool t;
Graph = TNEANet::New();
t = Graph->Empty();
// create the nodes
for (i = 0; i < NNodes; i++) {
Graph->AddNode(i);
}
n = Graph->GetNodes();
t = Graph->Empty();
// create random edges
NCount = NEdges;
while (NCount > 0) {
x = rand() % NNodes;
y = rand() % NNodes;
n = Graph->AddEdge(x, y);
NCount--;
}
PrintGStats("ManipulateNodesEdges:Graph",Graph);
// get all the nodes
NCount = 0;
for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NCount++;
}
// get all the edges for all the nodes
ECount1 = 0;
for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
for (int e = 0; e < NI.GetOutDeg(); e++) {
ECount1++;
}
}
// get all the edges directly
ECount2 = 0;
for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
ECount2++;
}
printf("graph ManipulateNodesEdges:Graph, nodes %d, edges1 %d, edges2 %d\n",
NCount, ECount1, ECount2);
// assignment
Graph1 = TNEANet::New();
*Graph1 = *Graph;
PrintGStats("ManipulateNodesEdges:Graph1",Graph1);
// save the graph
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
// load the graph
{
TFIn FIn(FName);
Graph2 = TNEANet::Load(FIn);
}
PrintGStats("ManipulateNodesEdges:Graph2",Graph2);
// remove all the nodes and edges
for (i = 0; i < NNodes; i++) {
n = Graph->GetRndNId();
Graph->DelNode(n);
}
PrintGStats("ManipulateNodesEdges:Graph",Graph);
Graph1->Clr();
PrintGStats("ManipulateNodesEdges:Graph1",Graph1);
}
// Test node, edge creation
TEST(TNEANet, ManipulateNodesEdges) {
int NNodes = 1000;
int NEdges = 100000;
const char *FName = "test.graph.dat";
PNEANet Graph;
PNEANet Graph1;
PNEANet Graph2;
int i;
int n;
int NCount;
int x,y;
int Deg, InDeg, OutDeg;
Graph = TNEANet::New();
EXPECT_EQ(1,Graph->Empty());
// create the nodes
for (i = 0; i < NNodes; i++) {
Graph->AddNode(i);
}
EXPECT_EQ(0,Graph->Empty());
EXPECT_EQ(NNodes,Graph->GetNodes());
// create random edges
NCount = NEdges;
while (NCount > 0) {
x = (long) (drand48() * NNodes);
y = (long) (drand48() * NNodes);
n = Graph->AddEdge(x, y);
NCount--;
}
EXPECT_EQ(NEdges,Graph->GetEdges());
EXPECT_EQ(0,Graph->Empty());
EXPECT_EQ(1,Graph->IsOk());
for (i = 0; i < NNodes; i++) {
EXPECT_EQ(1,Graph->IsNode(i));
}
EXPECT_EQ(0,Graph->IsNode(NNodes));
EXPECT_EQ(0,Graph->IsNode(NNodes+1));
EXPECT_EQ(0,Graph->IsNode(2*NNodes));
// nodes iterator
NCount = 0;
for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
NCount++;
}
EXPECT_EQ(NNodes,NCount);
// edges per node iterator
NCount = 0;
for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
for (int e = 0; e < NI.GetOutDeg(); e++) {
NCount++;
}
}
EXPECT_EQ(NEdges,NCount);
// edges iterator
NCount = 0;
for (TNEANet::TEdgeI EI = Graph->BegEI(); EI < Graph->EndEI(); EI++) {
NCount++;
}
EXPECT_EQ(NEdges,NCount);
// node degree
for (TNEANet::TNodeI NI = Graph->BegNI(); NI < Graph->EndNI(); NI++) {
Deg = NI.GetDeg();
InDeg = NI.GetInDeg();
OutDeg = NI.GetOutDeg();
EXPECT_EQ(Deg,InDeg+OutDeg);
}
// assignment
Graph1 = TNEANet::New();
*Graph1 = *Graph;
EXPECT_EQ(NNodes,Graph1->GetNodes());
EXPECT_EQ(NEdges,Graph1->GetEdges());
EXPECT_EQ(0,Graph1->Empty());
EXPECT_EQ(1,Graph1->IsOk());
// saving and loading
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
{
TFIn FIn(FName);
Graph2 = TNEANet::Load(FIn);
}
EXPECT_EQ(NNodes,Graph2->GetNodes());
EXPECT_EQ(NEdges,Graph2->GetEdges());
EXPECT_EQ(0,Graph2->Empty());
EXPECT_EQ(1,Graph2->IsOk());
// remove all the nodes and edges
for (i = 0; i < NNodes; i++) {
n = Graph->GetRndNId();
Graph->DelNode(n);
}
EXPECT_EQ(0,Graph->GetNodes());
EXPECT_EQ(0,Graph->GetEdges());
EXPECT_EQ(1,Graph->IsOk());
EXPECT_EQ(1,Graph->Empty());
Graph1->Clr();
EXPECT_EQ(0,Graph1->GetNodes());
EXPECT_EQ(0,Graph1->GetEdges());
EXPECT_EQ(1,Graph1->IsOk());
EXPECT_EQ(1,Graph1->Empty());
}
