// 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);
}
}
// Return a small graph on 5 nodes and 6 edges.
PNEANet TNEANet::GetSmallGraph() {
PNEANet Net = TNEANet::New();
for (int i = 0; i < 5; i++) { Net->AddNode(i); }
Net->AddEdge(0,1); Net->AddEdge(0,2);
Net->AddEdge(0,3); Net->AddEdge(0,4);
Net->AddEdge(1,2); Net->AddEdge(1,2);
return Net;
}
TEST(TNEANet, AddSAttrDatE_flt) {
PNEANet Graph;
Graph = TNEANet::New();
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddEdge(0, 1, 0);
TFlt Val(5.0);
TInt Id(0);
int status = Graph->AddSAttrDatE(Id, 1, Val);
EXPECT_EQ(-1, status);
TInt AttrId;
TStr AttrName("TestFlt");
Graph->AddSAttrE(AttrName, atFlt, AttrId);
TInt ErrorVal(1);
status = Graph->AddSAttrDatE(Id, AttrId, ErrorVal);
EXPECT_EQ(-2, status);
status = Graph->AddSAttrDatE(Id, AttrId, Val);
EXPECT_EQ(0, status);
status = Graph->AddSAttrDatE(Id, AttrName, Val);
EXPECT_EQ(0, status);
TStr NewName("TestFlt2");
status = Graph->AddSAttrDatE(Id, NewName, Val);
EXPECT_EQ(0, status);
TInt ErrorId(1);
status = Graph->AddSAttrDatE(ErrorId, AttrId, Val);
EXPECT_EQ(-1, status);
}
PNEANet writeTNEANet(TStr Filename) {
int NNodes = 100;
int NEdges = 100;
PNEANet Graph = TNEANet::New();
int i;
for (i = NNodes - 1; i >= 0; i--) {
Graph->AddNode(i);
}
// create the edges
int x, y;
for (i = NEdges - 1; i >= 0; i--) {
x = (long) (drand48() * NNodes);
y = (long) (drand48() * NNodes);
Graph->AddEdge(x, y, i);
}
// create attributes and fill all nodes
TStr attr1 = "str";
TStr attr2 = "int";
TStr attr3 = "float";
TStr attr4 = "default";
Graph->AddIntAttrDatN(3, 3*2, attr2);
Graph->AddIntAttrDatN(50, 50*2, attr2);
Graph->AddFltAttrDatN(5, 3.41, attr3);
Graph->AddFltAttrDatN(50, 2.718, attr3);
Graph->AddStrAttrDatN(10, "abc", attr1);
Graph->AddStrAttrDatN(20, "def", attr1);
TFOut OutStream(Filename);
Graph->Save(OutStream);
return Graph;
}
TEST(TNEANet, AddEdgeAttributeError) {
PNEANet Graph;
Graph = TNEANet::New();
TStr StrAttr("name");
TStr FltAttr("weight");
TStr IntAttr("test");
Graph->AddStrAttrE(StrAttr);
Graph->AddFltAttrE(FltAttr);
Graph->AddIntAttrE(IntAttr);
int NumEdges = 5;
for (int i = 0; i < NumEdges + 1; i++) {
Graph->AddNode(i);
}
for (int i = 0; i < NumEdges; i++) {
Graph->AddEdge(i, i+1, i);
Graph->AddIntAttrDatE(i, TInt(i), IntAttr);
Graph->AddFltAttrDatE(i, TFlt(i), FltAttr);
TInt Val(i);
Graph->AddStrAttrDatE(i, Val.GetStr(), StrAttr);
}
Graph->DelNode(0);
for (int j = 1; j < NumEdges; j++) {
ASSERT_EQ(Graph->GetIntAttrDatE(j, IntAttr), TInt(j));
ASSERT_EQ(Graph->GetFltAttrDatE(j, FltAttr), TFlt(j));
TInt Val(j);
ASSERT_EQ(Graph->GetStrAttrDatE(j, StrAttr), Val.GetStr());
}
}
TEST(TNEANet, GetSAttrDatE_str) {
PNEANet Graph;
Graph = TNEANet::New();
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddEdge(0, 1, 0);
TStr Val;
TInt AttrId(0);
TStr AttrName("TestInt");
TInt EId(0);
int status = Graph->GetSAttrDatE(EId, AttrName, Val);
EXPECT_EQ(-1, status);
status = Graph->GetSAttrDatE(EId, AttrId, Val);
EXPECT_EQ(-1, status);
Graph->AddSAttrE(AttrName, atStr, AttrId);
TStr TestVal("5");
Graph->AddSAttrDatE(EId, AttrId, TestVal);
status = Graph->GetSAttrDatE(EId, AttrId, Val);
EXPECT_EQ(0, status);
EXPECT_STREQ(TestVal.CStr(), Val.CStr());
status = Graph->GetSAttrDatE(EId, AttrName, Val);
EXPECT_EQ(0, status);
EXPECT_STREQ(TestVal.CStr(), Val.CStr());
TInt ErrorId(1);
status = Graph->GetSAttrDatE(ErrorId, AttrId, Val);
EXPECT_EQ(-1, status);
}
TEST(TNEANet, GetSAttrDatE_flt) {
PNEANet Graph;
Graph = TNEANet::New();
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddEdge(0, 1, 0);
TFlt Val;
TInt AttrId(0);
TStr AttrName("TestInt");
TInt EId(0);
int status = Graph->GetSAttrDatE(EId, AttrName, Val);
EXPECT_EQ(-1, status);
status = Graph->GetSAttrDatE(EId, AttrId, Val);
EXPECT_EQ(-1, status);
Graph->AddSAttrE(AttrName, atFlt, AttrId);
TFlt TestVal(5.0);
Graph->AddSAttrDatE(EId, AttrId, TestVal);
status = Graph->GetSAttrDatE(EId, AttrId, Val);
EXPECT_EQ(0, status);
EXPECT_EQ(TestVal.Val, Val.Val);
status = Graph->GetSAttrDatE(EId, AttrName, Val);
EXPECT_EQ(0, status);
EXPECT_EQ(TestVal.Val, Val.Val);
TInt ErrorId(1);
status = Graph->GetSAttrDatE(ErrorId, AttrId, Val);
EXPECT_EQ(-1, status);
}
TEST(TNEANet, DelSAttrDatE) {
PNEANet Graph;
Graph = TNEANet::New();
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddEdge(0, 1, 0);
TStr IntAttr("TestInt");
TInt IntId;
Graph->AddSAttrE(IntAttr, atInt, IntId);
TStr FltAttr("TestFlt");
TInt FltId;
Graph->AddSAttrE(FltAttr, atFlt, FltId);
TStr StrAttr("TestStr");
TInt StrId;
Graph->AddSAttrE(StrAttr, atStr, StrId);
TInt Id(0);
int status = Graph->DelSAttrDatE(Id, IntAttr);
EXPECT_EQ(-1, status);
status = Graph->DelSAttrDatE(Id, IntId);
EXPECT_EQ(-1, status);
TInt IntVal(5);
Graph->AddSAttrDatE(Id, IntId, IntVal);
status = Graph->DelSAttrDatE(Id, IntAttr);
EXPECT_EQ(0, status);
Graph->AddSAttrDatE(Id, IntId, IntVal);
status = Graph->DelSAttrDatE(Id, IntId);
EXPECT_EQ(0, status);
status = Graph->DelSAttrDatE(Id, IntId);
EXPECT_EQ(-1, status);
TInt ErrorId(1);
status = Graph->DelSAttrDatE(ErrorId, IntId);
EXPECT_EQ(-1, status);
TFlt FltVal(5.0);
Graph->AddSAttrDatE(Id, FltId, FltVal);
status = Graph->DelSAttrDatE(Id, FltAttr);
EXPECT_EQ(0, status);
Graph->AddSAttrDatE(Id, FltId, FltVal);
status = Graph->DelSAttrDatE(Id, FltId);
EXPECT_EQ(0, status);
status = Graph->DelSAttrDatE(Id, FltId);
EXPECT_EQ(-1, status);
status = Graph->DelSAttrDatE(ErrorId, FltId);
EXPECT_EQ(-1, status);
TStr StrVal("5");
Graph->AddSAttrDatE(Id, StrId, StrVal);
status = Graph->DelSAttrDatE(Id, StrAttr);
EXPECT_EQ(0, status);
Graph->AddSAttrDatE(Id, StrId, StrVal);
status = Graph->DelSAttrDatE(Id, StrId);
EXPECT_EQ(0, status);
status = Graph->DelSAttrDatE(Id, StrId);
EXPECT_EQ(-1, status);
status = Graph->DelSAttrDatE(ErrorId, StrId);
EXPECT_EQ(-1, status);
}
TEST(TNEANet, IntVAttr) {
PNEANet Graph;
Graph = TNEANet::New();
int i;
TIntV test;
int numNodes = 10;
Graph->AddNode(0);
for (i = 1; i < numNodes; i++) {
Graph->AddNode(i);
Graph->AddEdge(i-1, i);
}
TStr TestAttr("Test1");
Graph->AddIntVAttrN(TestAttr);
for (i = 0; i < numNodes; i++) {
test = Graph->GetIntVAttrDatN(i, TestAttr);
EXPECT_EQ(0, test.Len());
}
TIntV testVB;
for (i = 0; i < numNodes; i++) {
testVB.Add(i);
}
const TIntV testV = testVB;
Graph->AddIntVAttrDatN(0, testV, TestAttr);
test = Graph->GetIntVAttrDatN(0, TestAttr);
EXPECT_EQ(numNodes, test.Len());
for (i = 0; i < numNodes; i++) {
EXPECT_EQ(test[i], i);
}
Graph->AppendIntVAttrDatN(0, numNodes, TestAttr);
test = Graph->GetIntVAttrDatN(0, TestAttr);
EXPECT_EQ(numNodes+1, test.Len());
for (i = 0; i < numNodes+1; i++) {
EXPECT_EQ(test[i], i);
}
Graph->DelAttrDatN(0, TestAttr);
for (i = 0; i < numNodes; i++) {
test = Graph->GetIntVAttrDatN(i, TestAttr);
EXPECT_EQ(0, test.Len());
}
}
TEST(TNEANet, GetIdVSAttrE) {
PNEANet Graph;
Graph = TNEANet::New();
TStr IntAttr("TestInt");
TInt IntId;
Graph->AddSAttrE(IntAttr, atInt, IntId);
TStr FltAttr("TestFlt");
TInt FltId;
Graph->AddSAttrE(FltAttr, atFlt, FltId);
TStr StrAttr("TestStr");
TInt StrId;
Graph->AddSAttrE(StrAttr, atStr, StrId);
TInt IntVal(0);
TFlt FltVal(0);
TStr StrVal("test");
Graph->AddNode(0);
for (int i = 0; i < 10; i++) {
Graph->AddNode(i+1);
Graph->AddEdge(i, i+1, i);
TInt Id(i);
Graph->AddSAttrDatE(Id, IntId, IntVal);
if (i%2 == 0) {
Graph->AddSAttrDatE(Id, FltId, FltVal);
}
}
Graph->AddSAttrDatE(0, StrId, StrVal);
TIntV IdV;
Graph->GetIdVSAttrE(IntAttr, IdV);
EXPECT_EQ(10, IdV.Len());
Graph->GetIdVSAttrE(IntId, IdV);
EXPECT_EQ(10, IdV.Len());
Graph->GetIdVSAttrE(FltAttr, IdV);
EXPECT_EQ(5, IdV.Len());
Graph->GetIdVSAttrE(FltId, IdV);
EXPECT_EQ(5, IdV.Len());
Graph->GetIdVSAttrE(StrAttr, IdV);
EXPECT_EQ(1, IdV.Len());
Graph->GetIdVSAttrE(StrId, IdV);
EXPECT_EQ(1, IdV.Len());
}
TEST(TNEANet, GetSAttrVE) {
PNEANet Graph;
Graph = TNEANet::New();
Graph->AddNode(0);
Graph->AddNode(1);
Graph->AddEdge(0, 1, 0);
TStr IntAttr("TestInt");
TInt IntId;
Graph->AddSAttrE(IntAttr, atInt, IntId);
TStr FltAttr("TestFlt");
TInt FltId;
Graph->AddSAttrE(FltAttr, atFlt, FltId);
TStr StrAttr("TestStr");
TInt StrId;
Graph->AddSAttrE(StrAttr, atStr, StrId);
TInt Id(0);
TInt IntVal(5);
Graph->AddSAttrDatE(Id, IntId, IntVal);
TFlt FltVal(5.0);
Graph->AddSAttrDatE(Id, FltId, FltVal);
TStr StrVal("5");
Graph->AddSAttrDatE(Id, StrId, StrVal);
TAttrPrV AttrV;
int status = Graph->GetSAttrVE(Id, atInt, AttrV);
EXPECT_EQ(0, status);
EXPECT_EQ(1, AttrV.Len());
status = Graph->GetSAttrVE(Id, atFlt, AttrV);
EXPECT_EQ(0, status);
EXPECT_EQ(1, AttrV.Len());
status = Graph->GetSAttrVE(Id, atStr, AttrV);
EXPECT_EQ(0, status);
EXPECT_EQ(1, AttrV.Len());
//status = Graph->GetSAttrVE(Id, atAny, AttrV);
//EXPECT_EQ(0, status);
//EXPECT_EQ(3, AttrV.Len());
//status = Graph->GetSAttrVE(Id, atUndef, AttrV);
//EXPECT_EQ(0, status);
//EXPECT_EQ(0, AttrV.Len());
//TInt ErrorId(1);
//status = Graph->GetSAttrVE(ErrorId, atUndef, AttrV);
//EXPECT_EQ(-1, status);
}
int BuildCapacityNetwork(const TStr& InFNm, PNEANet &Net, const int& SrcColId = 0, const int& DstColId = 1, const int& CapColId = 2) {
TSsParser Ss(InFNm, ssfWhiteSep, true, true, true);
TRnd Random;
Net.Clr();
Net = TNEANet::New();
int SrcNId, DstNId, CapVal, EId;
int MaxCap = 0;
while (Ss.Next()) {
if (! Ss.GetInt(SrcColId, SrcNId) || ! Ss.GetInt(DstColId, DstNId)) { continue; }
Ss.GetInt(CapColId, CapVal);
//CapVal = Random.GetUniDevInt(1, 10000);
MaxCap = max(CapVal, MaxCap);
if (! Net->IsNode(SrcNId)) {
Net->AddNode(SrcNId);
}
if (! Net->IsNode(DstNId)) {
Net->AddNode(DstNId);
}
EId = Net->AddEdge(SrcNId, DstNId);
Net->AddIntAttrDatE(EId, CapVal, TSnap::CapAttrName);
}
Net->Defrag();
return MaxCap;
}
PNEANet KNNJaccardParallel(PNGraph Graph,int K) {
PNEANet KNN = TNEANet::New();
TIntV NIdV;
Graph->GetNIdV (NIdV);
int size = NIdV.Len();
for (int ind = 0; ind < size; ind++) {
KNN->AddNode(NIdV[ind]);
}
KNN->AddFltAttrE("sim");
TVec<TVec<TPair<TFlt, TInt>, int >, int > TopKList;
TVec<TVec<TPair<TFlt, TInt>, int >, int > ThTopK; // for each thread
TIntV NodeList;
TIntV ThNodeList;// for each thread
int NumThreads = omp_get_max_threads();
omp_set_num_threads(NumThreads);
#pragma omp parallel private(ThNodeList, ThTopK)
{
TIntV* Neighbors_old = new TIntV();
TIntV* Neighbors = new TIntV();
TIntV* temp;
#pragma omp for schedule(dynamic,1000)
for (int ind = 0; ind < size; ind++) {
TNGraph::TNodeI NI = Graph->GetNI(NIdV[ind]);
if (NI.GetInDeg() > 0) {
continue;
}
if (NI.GetOutDeg() == 0) {
continue;
}
TVec<TPair<TFlt, TInt>, int > TopK;
for (int i = 0; i < K; i++) {
TopK.Add(TPair<TFlt,TInt>(0.0, -1));
}
Neighbors->Clr(false);
Neighbors_old->Clr(false);
for (int i = 0; i < NI.GetOutDeg(); i++) {
TNGraph::TNodeI Inst_NI = Graph->GetNI(NI.GetOutNId(i));
MergeNbrs(Neighbors, Neighbors_old, Inst_NI);
temp = Neighbors_old;
temp->Clr(false);
Neighbors_old = Neighbors;
Neighbors = temp;
}
// Swap neighbors and Neighbors_old
temp = Neighbors_old;
Neighbors_old = Neighbors;
Neighbors = temp;
for(int j = 0; j< Neighbors->Len(); j++) {
TNGraph::TNodeI Auth_NI = Graph->GetNI((*Neighbors)[j]);
float similarity = JaccardSim(NI, Auth_NI);
if (TopK[K-1].GetVal1() < similarity) {
int index = 0;
for (int i = K-2; i >= 0; i--)
if (TopK[i].GetVal1() < similarity) {
TopK.SetVal(i+1, TopK[i]);
} else {
index = i+1;
break;
}
TopK.SetVal(index, TPair<TFlt, TInt>(similarity, (*Neighbors)[j]));
}
}
ThTopK.Add(TopK);
ThNodeList.Add(NIdV[ind]);
// if (ct%10000 == 0)
// cout<<ct<<" avg neighbor degree = "<<sum_neighbors*1.0/ct<<" "<<currentDateTime()<<endl;
}
#pragma omp critical
{
for (int j = 0; j < ThTopK.Len(); j++) {
TopKList.Add(ThTopK[j]);
NodeList.Add(ThNodeList[j]);
}
}
}
int size2 = NodeList.Len();
for (int i= 0; i < size2 ; i++) {
for (int j = 0; j < K; j++) {
if (TopKList[i][j].GetVal2() <= -1) {
break;
}
int EId = KNN->AddEdge(NodeList[i], TopKList[i][j].GetVal2());
KNN->AddFltAttrDatE(EId, TopKList[i][j].GetVal1(), "sim");
}
}
return KNN;
}
PNEANet KNNJaccard(PNGraph Graph, int K) {
PNEANet KNN = TNEANet::New();
int sum_neighbors = 0;
int ct;
int end;
end = Graph->GetNodes();
TIntV* Neighbors_old = new TIntV();
TIntV* Neighbors = new TIntV();
TIntV* temp;
TIntV NIdV;
Graph->GetNIdV (NIdV);
int size = NIdV.Len();
for (int ind = 0; ind < size; ind++) {
KNN->AddNode(NIdV[ind]);
}
KNN->AddFltAttrE("sim");
for (int ind = 0; ind < size; ind++) {
TNGraph::TNodeI NI = Graph->GetNI(NIdV[ind]);
if (NI.GetInDeg() > 0) {
continue;
}
if (NI.GetOutDeg() == 0) {
continue;
}
ct ++;
TVec<TPair<TFlt, TInt> > TopK;
for (int i = 0; i < K; i++) {
TopK.Add(TPair<TFlt,TInt>(0.0, -1));
}
Neighbors->Clr(false);
Neighbors_old->Clr(false);
for (int i = 0; i < NI.GetOutDeg(); i++) {
TNGraph::TNodeI Inst_NI = Graph->GetNI(NI.GetOutNId(i));
MergeNbrs(Neighbors, Neighbors_old, Inst_NI);
temp = Neighbors_old;
temp->Clr(false);
Neighbors_old = Neighbors;
Neighbors = temp;
}
int num = Neighbors_old->Len();
sum_neighbors += num;
//Swap neighbors and Neighbors_old
temp = Neighbors_old;
Neighbors_old = Neighbors;
Neighbors = temp;
for (int j = 0; j< Neighbors->Len(); j++) {
TNGraph::TNodeI Auth_NI = Graph->GetNI((*Neighbors)[j]);
float similarity = JaccardSim(NI, Auth_NI);
if (TopK[K-1].GetVal1() < similarity) {
int index = 0;
for (int i = K-2; i >= 0; i--)
if (TopK[i].GetVal1() < similarity) {
TopK.SetVal(i+1, TopK[i]);
} else {
index = i+1;
break;
}
TopK.SetVal(index, TPair<TFlt, TInt>(similarity, (*Neighbors)[j]));
}
}
for (int i = 0; i < K; i++) {
int EId = KNN->AddEdge(NI.GetId(), TopK[i].GetVal2());
KNN->AddFltAttrDatE(EId, TopK[i].GetVal1(), "sim");
}
// if (ct%10000 == 0)
// cout<<ct<<" avg neighbor degree = "<<sum_neighbors*1.0/ct<<" "<<currentDateTime()<<endl;
}
return KNN;
}
// 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());
}
// Test node attribute functionality
void ManipulateNodeEdgeAttributes() {
int NNodes = 1000;
int NEdges = 1000;
const char *FName = "demo.graph.dat";
PNEANet Graph;
PNEANet Graph1;
int i;
int x, y;
bool t;
Graph = TNEANet::New();
t = Graph->Empty();
// create the nodes
for (i = 0; i < NNodes; i++) {
Graph->AddNode(i);
}
// create the edges
for (i = 0; i < NEdges; i++) {
x = rand() % NNodes;
y = rand() % NNodes;
Graph->AddEdge(x, y, i);
}
// create attributes and fill all nodes
TStr attr1 = "str";
TStr attr2 = "int";
TStr attr3 = "float";
TStr attr4 = "default";
// Test vertical int iterator for node 3, 50, 700, 900
// Check if we can set defaults to 0 for Int data.
Graph->AddIntAttrN(attr2, 0);
Graph->AddIntAttrDatN(3, 3*2, attr2);
Graph->AddIntAttrDatN(50, 50*2, attr2);
Graph->AddIntAttrDatN(700, 700*2, attr2);
Graph->AddIntAttrDatN(900, 900*2, attr2);
int NodeId = 0;
for (TNEANet::TAIntI NI = Graph->BegNAIntI(attr2);
NI < Graph->EndNAIntI(attr2); NI++) {
// Check if defaults are now 0.
if (NI.GetDat()() != 0) {
printf("Attribute: %s, Node: %i, Val: %i\n", attr2(), NodeId, NI.GetDat()());
NodeId++;
}
}
// Test vertical flt iterator for node 3, 50, 700, 900
Graph->AddFltAttrDatN(5, 3.41, attr3);
Graph->AddFltAttrDatN(50, 2.718, attr3);
Graph->AddFltAttrDatN(300, 150.0, attr3);
Graph->AddFltAttrDatN(653, 653, attr3);
NodeId = 0;
for (TNEANet::TAFltI NI = Graph->BegNAFltI(attr3);
NI < Graph->EndNAFltI(attr3); NI++) {
if (NI.GetDat() != TFlt::Mn) {
printf("Attribute: %s, Node: %i, Val: %f\n", attr3(), NodeId, NI.GetDat()());
NodeId++;
}
}
// Test vertical str iterator for node 3, 50, 700, 900
Graph->AddStrAttrDatN(10, "abc", attr1);
Graph->AddStrAttrDatN(20, "def", attr1);
Graph->AddStrAttrDatN(400, "ghi", attr1);
// this does not show since ""=null
Graph->AddStrAttrDatN(455, "", attr1);
NodeId = 0;
for (TNEANet::TAStrI NI = Graph->BegNAStrI(attr1);
NI < Graph->EndNAStrI(attr1); NI++) {
if (NI.GetDat() != TStr::GetNullStr()) {
printf("Attribute: %s, Node: %i, Val: %s\n", attr1(), NodeId, NI.GetDat()());
NodeId++;
}
}
// Test vertical iterator over many types (must skip default/deleted attr)
int NId = 55;
Graph->AddStrAttrDatN(NId, "aaa", attr1);
Graph->AddIntAttrDatN(NId, 3*2, attr2);
Graph->AddFltAttrDatN(NId, 3.41, attr3);
Graph->AddStrAttrDatN(80, "dont appear", attr4); // should not show up
TStrV NIdAttrName;
Graph->AttrNameNI(NId, NIdAttrName);
int AttrLen = NIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Node: %i, Attr: %s\n", NId, NIdAttrName[i]());
}
Graph->DelAttrDatN(NId, attr2);
Graph->AttrNameNI(NId, NIdAttrName);
AttrLen = NIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Node (no int) : %i, Attr: %s\n", NId, NIdAttrName[i]());
}
Graph->AddIntAttrDatN(NId, 3*2, attr2);
Graph->DelAttrN(attr1);
Graph->AttrNameNI(NId, NIdAttrName);
AttrLen = NIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Node (no str) : %i, Attr: %s\n", NId, NIdAttrName[i]());
}
TStrV NIdAttrValue;
Graph->AttrValueNI(NId, NIdAttrValue);
AttrLen = NIdAttrValue.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Node (no str) : %i, Attr_Val: %s\n", NId, NIdAttrValue[i]());
}
for (i = 0; i <NNodes; i++) {
Graph->AddIntAttrDatN(i, 70, attr2);
}
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
{
TFIn FIn(FName);
Graph1 = TNEANet::Load(FIn);
}
int total = 0;
for (TNEANet::TAIntI NI = Graph1->BegNAIntI(attr2);
NI < Graph1->EndNAIntI(attr2); NI++) {
total += NI.GetDat();
}
printf("Average: %i (should be 70)\n", total/NNodes);
Graph1->Clr();
// Test vertical int iterator for edge
Graph->AddIntAttrDatE(3, 3*2, attr2);
Graph->AddIntAttrDatE(55, 55*2, attr2);
Graph->AddIntAttrDatE(705, 705*2, attr2);
Graph->AddIntAttrDatE(905, 905*2, attr2);
int EdgeId = 0;
for (TNEANet::TAIntI EI = Graph->BegEAIntI(attr2);
EI < Graph->EndEAIntI(attr2); EI++) {
if (EI.GetDat() != TInt::Mn) {
printf("E Attribute: %s, Edge: %i, Val: %i\n", attr2(), EdgeId, EI.GetDat()());
EdgeId++;
}
}
// Test vertical flt iterator for edge
Graph->AddFltAttrE(attr3, 0.00);
Graph->AddFltAttrDatE(5, 4.41, attr3);
Graph->AddFltAttrDatE(50, 3.718, attr3);
Graph->AddFltAttrDatE(300, 151.0, attr3);
Graph->AddFltAttrDatE(653, 654, attr3);
EdgeId = 0;
for (TNEANet::TAFltI EI = Graph->BegEAFltI(attr3);
EI < Graph->EndEAFltI(attr3); EI++) {
// Check if defaults are set to 0.
if (EI.GetDat() != 0.00) {
printf("E Attribute: %s, Edge: %i, Val: %f\n", attr3(), EdgeId, EI.GetDat()());
EdgeId++;
}
}
// Test vertical str iterator for edge
Graph->AddStrAttrDatE(10, "abc", attr1);
Graph->AddStrAttrDatE(20, "def", attr1);
Graph->AddStrAttrDatE(400, "ghi", attr1);
// this does not show since ""=null
Graph->AddStrAttrDatE(455, "", attr1);
EdgeId = 0;
for (TNEANet::TAStrI EI = Graph->BegEAStrI(attr1);
EI < Graph->EndEAStrI(attr1); EI++) {
if (EI.GetDat() != TStr::GetNullStr()) {
printf("E Attribute: %s, Edge: %i, Val: %s\n", attr1(), EdgeId, EI.GetDat()());
EdgeId++;
}
}
// Test vertical iterator over many types (must skip default/deleted attr)
int EId = 55;
Graph->AddStrAttrDatE(EId, "aaa", attr1);
Graph->AddIntAttrDatE(EId, 3*2, attr2);
Graph->AddFltAttrDatE(EId, 3.41, attr3);
Graph->AddStrAttrDatE(80, "dont appear", attr4); // should not show up
TStrV EIdAttrName;
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Edge: %i, Attr: %s\n", EId, EIdAttrName[i]());
}
Graph->DelAttrDatE(EId, attr2);
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Edge (no int) : %i, Attr: %s\n", EId, EIdAttrName[i]());
}
Graph->AddIntAttrDatE(EId, 3*2, attr2);
Graph->DelAttrE(attr1);
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Edge (no str) : %i, Attr: %s\n", EId, EIdAttrName[i]());
}
TStrV EIdAttrValue;
Graph->AttrValueEI(EId, EIdAttrValue);
AttrLen = EIdAttrValue.Len();
for (int i = 0; i < AttrLen; i++) {
printf("Vertical Edge (no str) : %i, Attr_Val: %s\n", EId, EIdAttrValue[i]());
}
for (i = 0; i <NEdges; i++) {
Graph->AddIntAttrDatE(i, 70, attr2);
}
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
Graph->Clr();
}
{
TFIn FIn(FName);
Graph1 = TNEANet::Load(FIn);
}
total = 0;
for (TNEANet::TAIntI EI = Graph1->BegNAIntI(attr2);
EI < Graph1->EndNAIntI(attr2); EI++) {
total += EI.GetDat();
}
printf("Average: %i (should be 70)\n", total/NEdges);
//Graph1->Dump();
Graph1->Clr();
}
// 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 attribute functionality
TEST(TNEANet, ManipulateNodesEdgeAttributes) {
int NNodes = 1000;
int NEdges = 1000;
const char *FName = "demo.graph.dat";
PNEANet Graph;
PNEANet Graph1;
int i;
int x, y;
bool t;
Graph = TNEANet::New();
t = Graph->Empty();
// create the nodes
for (i = NNodes - 1; i >= 0; i--) {
Graph->AddNode(i);
}
EXPECT_EQ(NNodes, Graph->GetNodes());
// create the edges
for (i = NEdges - 1; i >= 0; i--) {
x = (long) (drand48() * NNodes);
y = (long) (drand48() * NNodes);
Graph->AddEdge(x, y, i);
}
// create attributes and fill all nodes
TStr attr1 = "str";
TStr attr2 = "int";
TStr attr3 = "float";
TStr attr4 = "default";
// Test vertical int iterator for node 3, 50, 700, 900
// Check if we can set defaults to 0 for Int data.
Graph->AddIntAttrN(attr2, 0);
Graph->AddIntAttrDatN(3, 3*2, attr2);
Graph->AddIntAttrDatN(50, 50*2, attr2);
Graph->AddIntAttrDatN(700, 700*2, attr2);
Graph->AddIntAttrDatN(900, 900*2, attr2);
EXPECT_EQ(3*2, Graph->GetNAIntI(attr2, 3).GetDat());
EXPECT_EQ(50*2, Graph->GetNAIntI(attr2, 50).GetDat());
int NodeId = 0;
int DefNodes = 0;
TVec<TInt> TAIntIV = TVec<TInt>();
for (TNEANet::TAIntI NI = Graph->BegNAIntI(attr2);
NI < Graph->EndNAIntI(attr2); NI++) {
if (NI.GetDat()() != 0) {
TAIntIV.Add(NI.GetDat());
NodeId++;
} else {
DefNodes++;
}
}
EXPECT_EQ(4, NodeId);
EXPECT_EQ(NNodes - 4, DefNodes);
TAIntIV.Sort();
EXPECT_EQ(3*2, TAIntIV[0]);
EXPECT_EQ(50*2, TAIntIV[1]);
EXPECT_EQ(700*2, TAIntIV[2]);
EXPECT_EQ(900*2, TAIntIV[3]);
// Test vertical flt iterator for node 3, 50, 700, 900
Graph->AddFltAttrDatN(5, 3.41, attr3);
Graph->AddFltAttrDatN(50, 2.718, attr3);
Graph->AddFltAttrDatN(300, 150.0, attr3);
Graph->AddFltAttrDatN(653, 563, attr3);
EXPECT_EQ(3.41, Graph->GetNAFltI(attr3, 5).GetDat());
EXPECT_EQ(2.718, Graph->GetNAFltI(attr3, 50).GetDat());
NodeId = 0;
DefNodes = 0;
TVec<TFlt> TAFltIV = TVec<TFlt>();
for (TNEANet::TAFltI NI = Graph->BegNAFltI(attr3);
NI < Graph->EndNAFltI(attr3); NI++) {
if (NI.GetDat() != TFlt::Mn) {
NodeId++;
TAFltIV.Add(NI.GetDat());
} else {
DefNodes++;
}
}
EXPECT_EQ(4, NodeId);
EXPECT_EQ(NNodes - 4, DefNodes);
TAFltIV.Sort();
EXPECT_EQ(2.718, TAFltIV[0]);
EXPECT_EQ(3.41, TAFltIV[1]);
EXPECT_EQ(150.0, TAFltIV[2]);
EXPECT_EQ(563.0, TAFltIV[3]);
// Test vertical str iterator for node 3, 50, 700, 900
Graph->AddStrAttrDatN(10, "abc", attr1);
Graph->AddStrAttrDatN(20, "def", attr1);
Graph->AddStrAttrDatN(400, "ghi", attr1);
// this does not show since ""=null
Graph->AddStrAttrDatN(455, "", attr1);
EXPECT_EQ('c', Graph->GetNAStrI(attr1, 10).GetDat().LastCh());
EXPECT_EQ('f', Graph->GetNAStrI(attr1, 20).GetDat().LastCh());
NodeId = 0;
DefNodes = 0;
TVec<TStr> TAStrIV = TVec<TStr>();
for (TNEANet::TAStrI NI = Graph->BegNAStrI(attr1);
NI < Graph->EndNAStrI(attr1); NI++) {
if (NI.GetDat() != TStr::GetNullStr()) {
NodeId++;
TAStrIV.Add(NI.GetDat());
} else {
DefNodes++;
}
}
EXPECT_EQ(3, NodeId);
EXPECT_EQ(NNodes - 3, DefNodes);
TAStrIV.Sort();
// TODO(nkhadke): Fix hack to compare strings properly. This works for now.
EXPECT_EQ('c', TAStrIV[0].LastCh());
EXPECT_EQ('f', TAStrIV[1].LastCh());
EXPECT_EQ('i', TAStrIV[2].LastCh());
// Test vertical iterator over many types (must skip default/deleted attr)
int NId = 55;
Graph->AddStrAttrDatN(NId, "aaa", attr1);
Graph->AddIntAttrDatN(NId, 3*2, attr2);
Graph->AddFltAttrDatN(NId, 3.41, attr3);
Graph->AddStrAttrDatN(80, "dont appear", attr4); // should not show up
TStrV NIdAttrName;
Graph->AttrNameNI(NId, NIdAttrName);
int AttrLen = NIdAttrName.Len();
NodeId = 0;
DefNodes = 0;
EXPECT_EQ(3, AttrLen);
Graph->DelAttrDatN(NId, attr2);
Graph->AttrNameNI(NId, NIdAttrName);
AttrLen = NIdAttrName.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("int") == NIdAttrName[i]()) {
// FAIL
EXPECT_EQ(1,2);
}
}
EXPECT_EQ(2, AttrLen);
Graph->AddIntAttrDatN(NId, 3*2, attr2);
Graph->DelAttrN(attr1);
Graph->AttrNameNI(NId, NIdAttrName);
AttrLen = NIdAttrName.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("str") == NIdAttrName[i]()) {
// FAIL
EXPECT_EQ(1,2);
}
}
EXPECT_EQ(2, AttrLen);
TStrV NIdAttrValue;
Graph->AttrValueNI(NId, NIdAttrValue);
AttrLen = NIdAttrValue.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("str") == NIdAttrValue[i]()) {
// FAIL
EXPECT_EQ(1,2);
}
}
int expectedTotal = 0;
for (i = 0; i <NNodes; i++) {
Graph->AddIntAttrDatN(i, NNodes+i, attr2);
EXPECT_EQ(NNodes+i, Graph->GetIntAttrDatN(i, attr2));
expectedTotal += NNodes+i;
}
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
}
{
TFIn FIn(FName);
Graph1 = TNEANet::Load(FIn);
}
int total = 0;
for (TNEANet::TAIntI NI = Graph1->BegNAIntI(attr2);
NI < Graph1->EndNAIntI(attr2); NI++) {
total += NI.GetDat();
}
ASSERT_EQ(expectedTotal, total);
Graph1->Clr();
// Test vertical int iterator for edge
Graph->AddIntAttrDatE(3, 3*2, attr2);
Graph->AddIntAttrDatE(55, 55*2, attr2);
Graph->AddIntAttrDatE(705, 705*2, attr2);
Graph->AddIntAttrDatE(905, 905*2, attr2);
EXPECT_EQ(3*2, Graph->GetEAIntI(attr2, 3).GetDat());
EXPECT_EQ(55*2, Graph->GetEAIntI(attr2, 55).GetDat());
int EdgeId = 0;
int DefEdges = 0;
TAIntIV.Clr();
for (TNEANet::TAIntI EI = Graph->BegEAIntI(attr2);
EI < Graph->EndEAIntI(attr2); EI++) {
if (EI.GetDat() != TInt::Mn) {
TAIntIV.Add(EI.GetDat());
EdgeId++;
} else {
DefEdges++;
}
}
EXPECT_EQ(4, EdgeId);
EXPECT_EQ(NEdges - 4, DefEdges);
TAIntIV.Sort();
EXPECT_EQ(3*2, TAIntIV[0]);
EXPECT_EQ(55*2, TAIntIV[1]);
EXPECT_EQ(705*2, TAIntIV[2]);
EXPECT_EQ(905*2, TAIntIV[3]);
// Test vertical flt iterator for edge
Graph->AddFltAttrE(attr3, 0.00);
Graph->AddFltAttrDatE(5, 4.41, attr3);
Graph->AddFltAttrDatE(50, 3.718, attr3);
Graph->AddFltAttrDatE(300, 151.0, attr3);
Graph->AddFltAttrDatE(653, 654, attr3);
EXPECT_EQ(4.41, Graph->GetEAFltI(attr3, 5).GetDat());
EXPECT_EQ(3.718, Graph->GetEAFltI(attr3, 50).GetDat());
EdgeId = 0;
DefEdges = 0;
TAFltIV.Clr();
for (TNEANet::TAFltI EI = Graph->BegEAFltI(attr3);
EI < Graph->EndEAFltI(attr3); EI++) {
// Check if defaults are set to 0.
if (EI.GetDat() != 0.00) {
TAFltIV.Add(EI.GetDat());
EdgeId++;
} else {
DefEdges++;
}
}
EXPECT_EQ(4, EdgeId);
EXPECT_EQ(NEdges - 4, DefEdges);
TAFltIV.Sort();
EXPECT_EQ(3.718, TAFltIV[0]);
EXPECT_EQ(4.41, TAFltIV[1]);
EXPECT_EQ(151.0, TAFltIV[2]);
EXPECT_EQ(654.0, TAFltIV[3]);
// Test vertical str iterator for edge
Graph->AddStrAttrDatE(10, "abc", attr1);
Graph->AddStrAttrDatE(20, "def", attr1);
Graph->AddStrAttrDatE(400, "ghi", attr1);
// this does not show since ""=null
Graph->AddStrAttrDatE(455, "", attr1);
EXPECT_EQ('c', Graph->GetEAStrI(attr1, 10).GetDat().LastCh());
EXPECT_EQ('f', Graph->GetEAStrI(attr1, 20).GetDat().LastCh());
EdgeId = 0;
DefEdges = 0;
TAStrIV.Clr();
for (TNEANet::TAStrI EI = Graph->BegEAStrI(attr1);
EI < Graph->EndEAStrI(attr1); EI++) {
if (EI.GetDat() != TStr::GetNullStr()) {
TAStrIV.Add(EI.GetDat());
EdgeId++;
} else {
DefEdges++;
}
}
EXPECT_EQ(3, EdgeId);
EXPECT_EQ(NEdges - 3, DefEdges);
TAStrIV.Sort();
// TODO(nkhadke): Fix hack to compare strings properly. This works for now.
EXPECT_EQ('c', TAStrIV[0].LastCh());
EXPECT_EQ('f', TAStrIV[1].LastCh());
EXPECT_EQ('i', TAStrIV[2].LastCh());
// Test vertical iterator over many types (must skip default/deleted attr)
int EId = 55;
Graph->AddStrAttrDatE(EId, "aaa", attr1);
Graph->AddIntAttrDatE(EId, 3*2, attr2);
Graph->AddFltAttrDatE(EId, 3.41, attr3);
Graph->AddStrAttrDatE(80, "dont appear", attr4); // should not show up
TStrV EIdAttrName;
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
EXPECT_EQ(3, AttrLen);
Graph->DelAttrDatE(EId, attr2);
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("int") == EIdAttrName[i]()) {
// FAIL
EXPECT_EQ(2,3);
}
}
Graph->AddIntAttrDatE(EId, 3*2, attr2);
Graph->DelAttrE(attr1);
Graph->AttrNameEI(EId, EIdAttrName);
AttrLen = EIdAttrName.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("aaa") == EIdAttrName[i]()) {
// FAIL
EXPECT_EQ(2,3);
}
}
TStrV EIdAttrValue;
Graph->AttrValueEI(EId, EIdAttrValue);
AttrLen = EIdAttrValue.Len();
for (i = 0; i < AttrLen; i++) {
if (TStr("str") == EIdAttrValue[i]()) {
// FAIL
EXPECT_EQ(2,3);
}
}
expectedTotal = 0;
for (i = 0; i <NEdges; i++) {
Graph->AddIntAttrDatE(i, NEdges+i, attr2);
EXPECT_EQ(NEdges+i, Graph->GetIntAttrDatE(i, attr2));
expectedTotal += NEdges+i;
}
{
TFOut FOut(FName);
Graph->Save(FOut);
FOut.Flush();
Graph->Clr();
}
{
TFIn FIn(FName);
Graph1 = TNEANet::Load(FIn);
}
total = 0;
for (TNEANet::TAIntI EI = Graph1->BegNAIntI(attr2);
EI < Graph1->EndNAIntI(attr2); EI++) {
total += EI.GetDat();
}
EXPECT_EQ(expectedTotal, total);
//Graph1->Dump();
Graph1->Clr();
}
