C++ PNEANet::BegEI方法代码示例

// 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);
  }

//.........这里部分代码省略.........