C++ TPt::SetEDat方法代码示例

// Generate TNodeEdgeNet
TPt <TNodeEdgeNet<TInt, TInt> > GetTestTNodeEdgeNet() {
  TPt <TNodeEdgeNet<TInt, TInt> > Net;
  TPt <TNodeEdgeNet<TInt, TInt> > Net1;
  TPt <TNodeEdgeNet<TInt, TInt> > Net2;
  int n;

  Net = TNodeEdgeNet<TInt, TInt>::New();

  for (int i = 0; i < 20; i++) {
    Net->AddNode(i);
  }

  for (int i = 0; i < 20; i++) {
    Net->AddEdge(i,(i+1) % 20);
    Net->AddEdge(i,(i+2) % 20);
    Net->AddEdge(i,(i+3) % 20);
    Net->AddEdge(i,(i+1) % 20);
    Net->AddEdge(i,(i+2) % 20);
    Net->AddEdge(i,(i+3) % 20);
  }

  n = 0;
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Net->SetEDat(EI.GetId(),n);
    n = (n+1) % 4;
  }

  return Net;
}

//! Given pGraph with data about edge weights, computes the distance of the shortest paths from sourceNode
//! and returns the result in the nodes of pDAGGraph.
//! Updates the edges if bUpdateEdges is set to true. Default is false. In that case only the node data is updated with the shortest distance to sourceNode.
//! @note Requires initial values for the nodes of pDAGGraph (edges are not needed)
void Dijkstra(const TPt<TNodeEDatNet<TFlt, TFlt>>& pGraph, int sourceNode, double dThreshold, TPt<TNodeEDatNet<TFlt, TFlt>>& pDAGGraph, bool bUpdateEdges = false)
{
	double logThreshold = log(dThreshold);
	if(dThreshold==0)
		logThreshold=-DBL_MAX;

	// List of visited nodes
	std::map<int, bool> visitedNodes;
	// Stores the edge vertices to build the final DAG
	std::map<int, int> mapPrevious;
	std::priority_queue<std::pair<int,double>, std::vector<std::pair<int,double>>, Order> nodesToVisit;

	// Distance from source node to itself is 0
	pDAGGraph->SetNDat(sourceNode, 0);
	nodesToVisit.push(std::make_pair(sourceNode,0));

	// Beginning of the loop of Dijkstra algorithm

	while(!nodesToVisit.empty())
	{
		// Find the vertex in queue with the smallest distance and remove it
		int iParentID = -1;
		while (!nodesToVisit.empty() && visitedNodes[iParentID = nodesToVisit.top().first])
			nodesToVisit.pop();
		if (iParentID == -1) break;

		// mark the vertex with the shortest distance
		visitedNodes[iParentID]=true;

		auto parent = pGraph->GetNI(iParentID);
		int numChildren = parent.GetOutDeg();
		for(int i = 0; i < numChildren; ++i)
		{
			int iChildID = parent.GetOutNId(i);
			// Accumulate the shortest distance from source
			double alt = pDAGGraph->GetNDat(iParentID) - log(parent.GetOutEDat(i).Val);
			if(alt >= logThreshold)
			{
				auto it = visitedNodes.find(iChildID);
				if (alt < pDAGGraph->GetNDat(iChildID) && it->second == false)
				{
					//1. update distance
					//2. update the predecessor
					//3. push new shortest rank of chidren nodes
					pDAGGraph->SetNDat(iChildID, alt);
					mapPrevious[iChildID]= iParentID;
					nodesToVisit.push(std::make_pair(iChildID,alt));
				}
			}
		}

	}

	if(bUpdateEdges)
		for(auto it=mapPrevious.begin(); it!= mapPrevious.end(); ++it)
		{
			pDAGGraph->AddEdge(it->second, it->first);
			pDAGGraph->SetEDat(it->second,it->first, pGraph->GetEDat(it->second,it->first));
		}
}

// before generating DAG
void RandomGraphInitialization(TPt<TNodeEDatNet<TFlt, TFlt>> &pGraph)
{
	srand(time(NULL));
	for (auto EI = pGraph->BegEI(); EI < pGraph->EndEI(); EI++)
		pGraph->SetEDat(EI.GetSrcNId(), EI.GetDstNId(), (double) rand() / RAND_MAX);
	for (auto NI = pGraph->BegNI(); NI < pGraph->EndNI(); NI++)
		pGraph->SetNDat(NI.GetId(), 0.0);
}

// Test update edge data
TEST(TNodeEdgeNet, UpdateEdgeData) {
  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);
  }
  EXPECT_EQ(0,Net->Empty());
  EXPECT_EQ(NNodes,Net->GetNodes());

  // create random edges and edge data x+y+10
  NCount = NEdges;
  while (NCount > 0) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    n = Net->AddEdge(x, y, -1, x+y+10);
    // printf("0a %d %d %d\n",x,y,n);
    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));

  // add data to nodes, square of node ID
  for (TNodeEdgeNet<TInt, TInt>::TNodeI NI = Net->BegNI(); NI < Net->EndNI(); NI++) {
    Net->SetNDat(NI.GetId(), NI.GetId()*NI.GetId());
  }

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

  // verify edge data, x+y+10
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    EXPECT_EQ(EI.GetSrcNId()+EI.GetDstNId()+10, Net->GetEDat(EI.GetId()));
  }

  // update edge data, x+y+5
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Net->SetEDat(EI.GetId(),EI.GetSrcNId()+EI.GetDstNId()+5);
  }

  // verify edge data, x+y+5
  for (TNodeEdgeNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    EXPECT_EQ(EI.GetSrcNId()+EI.GetDstNId()+5, Net->GetEDat(EI.GetId()));
  }

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

// Test update edge data
void UpdateEdgeData() {
  int NNodes = 10000;
  int NEdges = 100000;

  TPt <TNodeEDatNet<TInt, TInt> > Net;
  TPt <TNodeEDatNet<TInt, TInt> > Net1;
  TPt <TNodeEDatNet<TInt, TInt> > Net2;
  int i;
  int n;
  int NCount;
  int x,y;
  bool t;
  int SrcNId;
  int DstNId;
  int EdgeDat;
  int Value;
  bool ok;

  Net = TNodeEDatNet<TInt, TInt>::New();
  t = Net->Empty();

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

  // create random edges and edge data x+y+10
  NCount = NEdges;
  while (NCount > 0) {
    x = (long) (drand48() * NNodes);
    y = (long) (drand48() * NNodes);
    // Net->GetEdges() is not correct for the loops (x == y),
    // skip the loops in this test
    if (x != y  &&  !Net->IsEdge(x,y)) {
      n = Net->AddEdge(x, y, x+y+10);
      NCount--;
    }
  }
  PrintNStats("UpdateEdgeData:Net", Net);

  // verify edge data, x+y+10
  ok = true;
  for (TNodeEDatNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    SrcNId = EI.GetSrcNId();
    DstNId = EI.GetDstNId();
    EdgeDat = Net->GetEDat(SrcNId, DstNId);
    Value = SrcNId+DstNId+10;
    if (EdgeDat != Value) {
      ok = false;
    }
  }
  printf("network UpdateEdgeData:Net, status1 %s\n", (ok == true) ? "ok" : "ERROR");

  // update edge data, x+y+5
  for (TNodeEDatNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    Net->SetEDat(EI.GetSrcNId(),EI.GetDstNId(),EI.GetSrcNId()+EI.GetDstNId()+5);
  }

  // verify edge data, x+y+5
  ok = true;
  for (TNodeEDatNet<TInt, TInt>::TEdgeI EI = Net->BegEI(); EI < Net->EndEI(); EI++) {
    SrcNId = EI.GetSrcNId();
    DstNId = EI.GetDstNId();
    EdgeDat = Net->GetEDat(SrcNId, DstNId);
    Value = SrcNId+DstNId+5;
    if (EdgeDat != Value) {
      ok = false;
    }
  }
  printf("network UpdateEdgeData:Net, status2 %s\n", (ok == true) ? "ok" : "ERROR");
}