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C++ TPt::IsNode方法代码示例

本文整理汇总了C++中TPt::IsNode方法的典型用法代码示例。如果您正苦于以下问题：C++ TPt::IsNode方法的具体用法？C++ TPt::IsNode怎么用？C++ TPt::IsNode使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TPt的用法示例。


在下文中一共展示了TPt::IsNode方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: while

// Test update node data
TEST(TNodeEdgeNet, UpdateNodeData) {
  int NNodes = 10000;
  int NEdges = 100000;

  TPt <TNodeEdgeNet<TInt, TInt> > Net;
  TPt <TNodeEdgeNet<TInt, TInt> > Net1;
  TPt <TNodeEdgeNet<TInt, TInt> > Net2;
  int i;
  int n;
  int NCount;
  int x,y;

  Net = TNodeEdgeNet<TInt, TInt>::New();
  EXPECT_EQ(1,Net->Empty());

  // create the nodes
  for (i = 0; i < NNodes; i++) {
    Net->AddNode(i,i+5);
  }
  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(NNodes,Net->GetNodes());

  // create random edges
  NCount = NEdges;
  while (NCount > 0) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    n = Net->AddEdge(x, y);
    NCount--;
  }

  EXPECT_EQ(NEdges,Net->GetEdges());

  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(1,Net->IsOk());

  for (i = 0; i < NNodes; i++) {
    EXPECT_EQ(1,Net->IsNode(i));
  }

  EXPECT_EQ(0,Net->IsNode(NNodes));
  EXPECT_EQ(0,Net->IsNode(NNodes+1));
  EXPECT_EQ(0,Net->IsNode(2*NNodes));

  // test node data
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    EXPECT_EQ(NI.GetId()+5, Net->GetNDat(NI.GetId()));
  }

  // update node data, node ID + 10
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    Net->SetNDat(NI.GetId(), NI.GetId()+10);
  }

  // test node data
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    EXPECT_EQ(NI.GetId()+10, Net->GetNDat(NI.GetId()));
  }
}
开发者ID:Aleyasen，项目名称:Alaki，代码行数:60，代码来源:test-TNodeEdgeNet.cpp

示例2: MakeSignEpinions

void MakeSignEpinions() {
  TSsParser Ss("/u/ana/data/EpinionRatings/user_rating.txt", ssfTabSep);
  //PSignNet Net = TSignNet::New();
  TPt<TNodeEDatNet<TInt, TInt> >  Net = TNodeEDatNet<TInt, TInt>::New();
  TStrHash<TInt> StrSet(Mega(1), true);
      
  while (Ss.Next()) {
    if ( ((TStr)Ss[0]).IsPrefix("#")  )
      continue;
    const int SrcNId = StrSet.AddKey(Ss[0]);
    const int DstNId = StrSet.AddKey(Ss[1]);
    if (! Net->IsNode(SrcNId)) { Net->AddNode(SrcNId); }
    if (! Net->IsNode(DstNId)) { Net->AddNode(DstNId); }
    const int Sign = ((TStr)Ss[2]).GetInt();
    Net->AddEdge(SrcNId, DstNId, Sign);
  }
    
  //    PrintGraphStatTable(Graph, OutFNm, Desc);
  TStr OutFNm = "soc-sign-epinions-user-ratings";
  TStr Desc = "Epinions signed social network";

  // copied from gio.h - line 111
  FILE *F = fopen(OutFNm.CStr(), "wt");
  fprintf(F, "# Directed graph: %s\n", OutFNm.CStr());
  if (! Desc.Empty()) 
    fprintf(F, "# %s\n", (Desc).CStr());
  fprintf(F, "# Nodes: %d Edges: %d\n", Net->GetNodes(), Net->GetEdges());
  fprintf(F, "# FromNodeId\tToNodeId\tSign\n"); 
  for (TNodeEDatNet<TInt,TInt>::TEdgeI ei = Net->BegEI(); ei < Net->EndEI(); ei++) {
      fprintf(F, "%d\t%d\t%d\n", ei.GetSrcNId(), ei.GetDstNId(), ei()());
  }
  fclose(F);
  
  PrintGraphStatTable(Net, OutFNm, Desc);
}
开发者ID:SherlockYang，项目名称:Archive，代码行数:35，代码来源:mkdatasets.cpp

示例3: MakeSlashdotSignNet

void MakeSlashdotSignNet(const TStr InFNm, TStr OutFNm, TStr Desc, THashSet<TChA> NIdSet) {
  //THashSet<TChA> NIdSet;
  TChA LnStr;
  TVec<char *> WrdV;
  int Sign;
  //PSignNet Net = TSignNet::New();
  TPt<TNodeEDatNet<TInt, TInt> >  Net = TNodeEDatNet<TInt, TInt>::New();
  int i = 0;
  for (TFIn FIn(InFNm); FIn.GetNextLn(LnStr); ) {
    if (LnStr.Empty() || LnStr[0]=='#') { continue; }
    LnStr.ToLc();
    TStrUtil::SplitOnCh(LnStr, WrdV, '\t', false);
    //NIdSet.AddKey(WrdV[0]);
    if (strcmp(WrdV[1], "friends")==0) { Sign = 1; }
    else if (strcmp(WrdV[1], "fans")==0) { continue; } // skip (fans are in-friends)
    else if (strcmp(WrdV[1], "foes")==0) { Sign = -1; } else { Fail; }
    const int SrcNId = NIdSet.AddKey(WrdV[0]);
    if (! Net->IsNode(SrcNId)) {
      Net->AddNode(SrcNId); }   
    for (int e = 2; e < WrdV.Len(); e++) {
      const int DstNId = NIdSet.AddKey(WrdV[e]);
      i ++ ;
      if ((SrcNId != DstNId) && ! Net->IsEdge(SrcNId, DstNId)) {
        if (! Net->IsNode(DstNId))
          Net->AddNode(DstNId);
        Net->AddEdge(SrcNId, DstNId, Sign);
      }
    }  
  }  
  TSnap::PrintInfo(Net, "Slashdot (" + TInt::GetStr(i) + ")");  

  // copied from gio.h - line 111
  FILE *F = fopen(OutFNm.CStr(), "wt");
  fprintf(F, "# Directed graph: %s\n", OutFNm.CStr());
  if (! Desc.Empty()) 
    fprintf(F, "# %s\n", (Desc).CStr());
    fprintf(F, "# Nodes: %d Edges: %d\n", Net->GetNodes(), Net->GetEdges());
    fprintf(F, "# UserId\tGroupId\tSign\n"); 
  for (TNodeEDatNet<TInt,TInt>::TEdgeI ei = Net->BegEI(); ei < Net->EndEI(); ei++) {
      fprintf(F, "%d\t%d\t%d\n", ei.GetSrcNId(), ei.GetDstNId(), ei()());
  }
  fclose(F);
  
  PrintGraphStatTable(Net, OutFNm, Desc);
}
开发者ID:SherlockYang，项目名称:Archive，代码行数:45，代码来源:mkdatasets.cpp

示例4: 

// Test edge data sorting
TEST(TNodeEdgeNet, SortEdgeData) {
  int NNodes = 10000;
  int NEdges = 100000;

  TPt <TNodeEdgeNet<TInt, TInt> > Net;
  TPt <TNodeEdgeNet<TInt, TInt> > Net1;
  TPt <TNodeEdgeNet<TInt, TInt> > Net2;
  int i;
  int n;
  int x,y;
  bool Sorted;
  int Min;
  int Value;

  Net = TNodeEdgeNet<TInt, TInt>::New();
  EXPECT_EQ(1,Net->Empty());

  // create the nodes with node data x*x % NNodes
  for (i = 0; i < NNodes; i++) {
    x = (i*13) % NNodes;
    Net->AddNode(x, (x*x) % NNodes);
  }
  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(NNodes,Net->GetNodes());

  // create random edges with edge data x*y % NEdges
  for (i = 0; i < NEdges; i++) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    n = Net->AddEdge(x, y, (i*37) % NEdges, (x*y) % NEdges);
  }

  EXPECT_EQ(NEdges,Net->GetEdges());

  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(1,Net->IsOk());

  for (i = 0; i < NNodes; i++) {
    EXPECT_EQ(1,Net->IsNode(i));
  }

  EXPECT_EQ(0,Net->IsNode(NNodes));
  EXPECT_EQ(0,Net->IsNode(NNodes+1));
  EXPECT_EQ(0,Net->IsNode(2*NNodes));

  // test node data
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    EXPECT_EQ((NI.GetId()*NI.GetId()) % NNodes, Net->GetNDat(NI.GetId()));
  }

  // test edge data
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    EXPECT_EQ((EI.GetSrcNId()*EI.GetDstNId()) % NEdges, Net->GetEDat(EI.GetId()));
  }

  // test sorting of edge IDs (unsorted)
  Min = -1;
  Sorted = true;
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Value = EI.GetId();
    if (Min > Value) {
      Sorted = false;
    }
    Min = Value;
  }
  EXPECT_EQ(false,Sorted);

  // sort the nodes by edge IDs (sorted)
  Net->SortEIdById();

  // test sorting of edge IDs
  Min = -1;
  Sorted = true;
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Value = EI.GetId();
    if (Min > Value) {
      Sorted = false;
    }
    Min = Value;
  }
  EXPECT_EQ(true,Sorted);

  // test sorting of edge data (unsorted)
  Min = -1;
  Sorted = true;
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Value = Net->GetEDat(EI.GetId());
    if (Min > Value) {
      Sorted = false;
    }
    Min = Value;
  }
  EXPECT_EQ(false,Sorted);

  // sort the nodes by edge data
  Net->SortEIdByDat();

  // test sorting of edge data (sorted)
  Min = -1;
//.........这里部分代码省略.........
开发者ID:Aleyasen，项目名称:Alaki，代码行数:101，代码来源:test-TNodeEdgeNet.cpp

示例5: FOut

// Test node, edge creation
TEST(TNodeEdgeNet, ManipulateNodesEdges) {
  int NNodes = 10000;
  int NEdges = 100000;
  const char *FName = "test.net";

  TPt <TNodeEdgeNet<TInt, TInt> > Net;
  TPt <TNodeEdgeNet<TInt, TInt> > Net1;
  TPt <TNodeEdgeNet<TInt, TInt> > Net2;
  int i;
  int n;
  int NCount;
  int x,y;
  int Deg, InDeg, OutDeg;

  Net = TNodeEdgeNet<TInt, TInt>::New();
  EXPECT_EQ(1,Net->Empty());

  // create the nodes
  for (i = 0; i < NNodes; i++) {
    Net->AddNode(i);
  }
  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(NNodes,Net->GetNodes());

  // create random edges
  NCount = NEdges;
  while (NCount > 0) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    n = Net->AddEdge(x, y);
    NCount--;
  }

  EXPECT_EQ(NEdges,Net->GetEdges());

  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(1,Net->IsOk());

  for (i = 0; i < NNodes; i++) {
    EXPECT_EQ(1,Net->IsNode(i));
  }

  EXPECT_EQ(0,Net->IsNode(NNodes));
  EXPECT_EQ(0,Net->IsNode(NNodes+1));
  EXPECT_EQ(0,Net->IsNode(2*NNodes));

  // nodes iterator
  NCount = 0;
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    NCount++;
  }
  EXPECT_EQ(NNodes,NCount);

  // edges per node iterator
  NCount = 0;
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    for (int e = 0; e < NI.GetOutDeg(); e++) {
      NCount++;
    }
  }
  EXPECT_EQ(NEdges,NCount);

  // edges iterator
  NCount = 0;
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    NCount++;
  }
  EXPECT_EQ(NEdges,NCount);

  // node degree
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    Deg = NI.GetDeg();
    InDeg = NI.GetInDeg();
    OutDeg = NI.GetOutDeg();

    EXPECT_EQ(Deg,InDeg+OutDeg);
  }

  // assignment
  Net1 = TNodeEdgeNet<TInt, TInt>::New();
  *Net1 = *Net;

  EXPECT_EQ(NNodes,Net1->GetNodes());
  EXPECT_EQ(NEdges,Net1->GetEdges());
  EXPECT_EQ(0,Net1->Empty());
  EXPECT_EQ(1,Net1->IsOk());

  // saving and loading
  {
    TFOut FOut(FName);
    Net->Save(FOut);
    FOut.Flush();
  }

  {
    TFIn FIn(FName);
    Net2 = TNodeEdgeNet<TInt, TInt>::Load(FIn);
  }

//.........这里部分代码省略.........
开发者ID:Aleyasen，项目名称:Alaki，代码行数:101，代码来源:test-TNodeEdgeNet.cpp

示例6: MaxIncrementalInfluence

std::vector<int> MaxIncrementalInfluence(TPt<TNodeEDatNet<TFlt, TFlt>>& pGraph, int numRounds){

	std::vector<int> vSeedSet;
	tbb::concurrent_unordered_map<int,double> mSpreadIncrement;
	auto pGraph_temp = TNodeEDatNet<TFlt, TFlt>::New();
	double influence = 0.0; int i,chunk = 50;
	static tbb::spin_mutex sMutex;

	//Failure of using PeerSeeds due to insufficient memory
	//std::map<int,std::vector<int> > mPeerSeeds;
	//std::map<int,TPt<TNodeEDatNet<TFlt, TFlt>> > mMIOAs;

	/* Initialization*/
	int numNodes = pGraph->GetMxNId();
	#pragma omp parallel shared(pGraph,chunk,mSpreadIncrement) private(pGraph_temp,i)
	{
		#pragma omp for schedule(dynamic,chunk) nowait
			for (i =0;i<numNodes;++i)
			{
				if(pGraph->IsNode(i))
				{
					pGraph_temp = MIOA(pGraph, i, 0);
					InitializationBeforePropagation(pGraph_temp);
					ParallelBPFromNode_1DPartitioning(pGraph_temp, i);
					mSpreadIncrement[i]=InfluenceSpreadFromSeedNodes(pGraph_temp);
					//mMIOAs.insert(std::make_pair(i,pGraph_v));
				}

			}
	}

/*
	//build PeerSeeds
	//Failure due to the insufficient memory
	for (int v =0; v<pGraph->GetNodes();++v)
		if(pGraph->IsNode(v))
			mPeerSeeds[v]=GetPeerSeeds(mMIOAs,v);
*/

	cout<<"--------------------------Finished Initialization---------------------"<<endl;

	for (int i=0;i<numRounds;++i)
	{
		/* select the i'th seed by finding u = argmax(mSpreadIncrement)*/
		auto it = std::max_element(mSpreadIncrement.begin(),mSpreadIncrement.end(),
							[&](std::pair<int,double> const& a, std::pair<int,double> const& b) {
								 return a.second < b.second;
								 }
							);
		int SeedID = it->first;
		cout << SeedID <<endl;

		/* calculate the current influence spread */
		vSeedSet.push_back(SeedID);
		pGraph = GenerateDAG1(pGraph, vSeedSet, 0.0);
		ParallelBPFromNode_1DPartitioning(pGraph, vSeedSet);
		influence = InfluenceSpreadFromSeedNodes(pGraph);

		/*remove the newly selected node*/
		mSpreadIncrement.unsafe_erase(SeedID);

		/* update incremental influence spread for each round */
		double Delta_MAX = 0.0;
		std::vector<int> vSeedSet_temp = vSeedSet;
		#pragma omp parallel shared(pGraph,chunk,vSeedSet,mSpreadIncrement,Delta_MAX) private(pGraph_temp,vSeedSet_temp,i)
		{
			#pragma omp for schedule(dynamic,chunk) nowait
				for (i =0;i<numNodes;++i)
				{
					/* exclude the nodes in seed set */
					auto result = std::find(vSeedSet.begin(),vSeedSet.end(), i);
					if (result != vSeedSet.end()) continue;

					if(pGraph->IsNode(i) && mSpreadIncrement[i] > Delta_MAX)
					{
						/*different processors use different copied vSeedSet*/
						vSeedSet_temp.push_back(i);

						pGraph_temp = GenerateDAG1(pGraph, vSeedSet_temp, 0);
						ParallelBPFromNode_1DPartitioning(pGraph_temp, vSeedSet_temp);
						mSpreadIncrement[i]=InfluenceSpreadFromSeedNodes(pGraph_temp)-influence;
						if (mSpreadIncrement[i]> Delta_MAX)
						{
							tbb::spin_mutex::scoped_lock lock(sMutex);
							Delta_MAX = mSpreadIncrement[i];
						}
						vSeedSet_temp.pop_back();
					}
				}
		}
	}
	return vSeedSet;
}
开发者ID:guorongYu，项目名称:Belief-Propagation，代码行数:93，代码来源:Utilities.cpp


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