]> git.uio.no Git - u/mrichter/AliRoot.git/commitdiff
Added macros to test the stat objects (Alexander, Marian)
authormarian <marian@f7af4fe6-9843-0410-8265-dc069ae4e863>
Fri, 3 Aug 2007 10:11:56 +0000 (10:11 +0000)
committermarian <marian@f7af4fe6-9843-0410-8265-dc069ae4e863>
Fri, 3 Aug 2007 10:11:56 +0000 (10:11 +0000)
STAT/Macros/TestBuild.C [new file with mode: 0644]
STAT/Macros/testInterpolator.C [new file with mode: 0644]
STAT/Macros/testkdtreeIF.C [new file with mode: 0644]

diff --git a/STAT/Macros/TestBuild.C b/STAT/Macros/TestBuild.C
new file mode 100644 (file)
index 0000000..f73c1e1
--- /dev/null
@@ -0,0 +1,45 @@
+Int_t npoints = 301;
+Int_t bsize = 10;
+
+Float_t *data0 =  new Float_t[npoints*2];
+Float_t *data[2];
+data[0] = &data0[0];
+data[1] = &data0[npoints];
+Float_t dataf[] = {.54, .54};
+TKDTreeIF* TestBuild(Int_t k = 5)
+{
+       gStyle->SetOptStat(0);
+       
+       for (Int_t i=0;i<npoints;i++) {
+               data[1][i]= gRandom->Gaus(.5, .1);
+               data[0][i]= gRandom->Gaus(.5, .1);
+               //data[1][i]= gRandom->Rndm();
+               //data[0][i]= gRandom->Rndm();
+       }
+       //TKDTreeIF *tree = new TKDTreeIF(npoints, 2, bsize, data);
+       //TKDSpline *spline = new TKDSpline(npoints, 2, bsize, data);
+       //spline->DrawNodes(0, 1, depth);
+       TKDInterpolator *s = new TKDInterpolator(npoints, 2, bsize, data);
+       s->DrawNodes(-1);
+       TMarker *m = new TMarker(dataf[0], dataf[1], 20);
+       m->Draw();
+       TGraph *g=new TGraph(npoints);
+       g->SetMarkerStyle(7);
+       for(int ip=0; ip<npoints; ip++) g->SetPoint(ip, data[0][ip], data[1][ip]);
+       g->Draw("p");
+       
+       Int_t *index = 0x0;
+       Float_t dist;
+       s->FindNearestNeighbors(dataf, k, index, dist);
+       
+       TGraph *gNN=new TGraph(k);
+       gNN->SetMarkerStyle(24);
+       gNN->SetMarkerColor(2);
+       for(int i=0; i<k; i++){
+               //printf("%d x %d y %d\n", i, index[i], index[i]);
+               gNN->SetPoint(i, data[0][index[i]], data[1][index[i]]);
+       }
+       gNN->Draw("p");
+
+       return s;       
+}
diff --git a/STAT/Macros/testInterpolator.C b/STAT/Macros/testInterpolator.C
new file mode 100644 (file)
index 0000000..1bad41e
--- /dev/null
@@ -0,0 +1,32 @@
+void testInterpolator()
+{
+       gStyle->SetOptStat(0);
+       gStyle->SetPalette(1);
+       
+       Int_t npoints = 301;
+       Int_t bsize = 10;
+       
+       Float_t *data0 =  new Float_t[npoints*2];
+       Float_t *data[2];
+       data[0] = &data0[0];
+       data[1] = &data0[npoints];
+       for (Int_t i=0;i<npoints;i++) {
+               data[1][i]= gRandom->Gaus(.5, .1);
+               data[0][i]= gRandom->Gaus(.5, .1);
+       }
+       TKDInterpolator *in = new TKDInterpolator(npoints, 2, bsize, data);
+
+       TH2 *hS = new TH2F("hS", "", 10, .3, .7, 10, .3, .7);
+       TAxis *ax = hS->GetXaxis(), *ay = hS->GetYaxis();
+       Float_t p[2], eval;
+       for(int ix=1; ix<=ax->GetNbins(); ix++){
+               p[0] = ax->GetBinCenter(ix);
+               for(int iy=1; iy<=ay->GetNbins(); iy++){
+                       p[1] = ay->GetBinCenter(iy);
+                       eval = in->Eval(p);
+                       //printf("x %f y %f eval %f [%d]\n", p[0], p[1], eval, TMath::IsNaN(eval));
+                       if(!TMath::IsNaN(eval)) hS->SetBinContent(ix, iy, eval);
+               }
+       }
+       hS->Draw("lego2");
+}
\ No newline at end of file
diff --git a/STAT/Macros/testkdtreeIF.C b/STAT/Macros/testkdtreeIF.C
new file mode 100644 (file)
index 0000000..55627c2
--- /dev/null
@@ -0,0 +1,189 @@
+// #include <malloc.h>
+// #include "TMatrixD.h"
+// #include "TRandom.h"
+// #include "TGraph.h"
+// #include "TStopwatch.h"
+// 
+
+
+Int_t Mem()
+{
+  // size in 1000 bytes
+  static struct mallinfo memdebug; 
+  memdebug = mallinfo();
+  return memdebug.uordblks/1000;
+}
+
+
+
+void testindexes(Int_t nloop, Int_t npoints);
+void  testkdtreeIF(Int_t npoints=1000, Int_t nloop=1000, Int_t mode = 1, Int_t bsize=9);
+void TestSizeIF(Int_t npoints=1000, Int_t nrows = 150, Int_t nsec=18, Int_t mode = 1, Int_t bsize=9);
+
+
+
+void testindexes(Int_t nloop, Int_t npoints){
+  //
+  // test indexing 
+  // 
+  TKDTree<Int_t, Float_t> *kdtree = new TKDTree<Int_t, Float_t>(0,0,0,0);
+  Int_t row =0;
+  Int_t collumn =0; 
+  TStopwatch timer;
+  timer.Start();
+  row = 10;
+  for (Int_t iloop=0;iloop<nloop;iloop++)
+  for (Int_t index=1;index<npoints;index++){
+    //row = TMath::Log2(index);
+    //row=0;
+   //  if (index< (16<<row)) row=0;
+//     for (; index>=(32<<row);row+=5);
+//     for (; index>=(2<<row);row++);
+//     collumn= index-(1<<row);
+      TKDTree<Int_t, Float_t>::GetCoord(index,row,collumn);
+    //
+    //Int_t index2=kdtree->GetIndex(row,collumn);
+    //printf("%d\t%d\t%d\t%d\n",index,index2,row,collumn);
+    if (kdtree->GetIndex(row,collumn)!=index || collumn<0) {
+      printf("Problem\n");
+    }
+  }
+  timer.Stop();
+  timer.Print();
+}
+
+void TestBuild(Int_t npoints, Int_t bsize){  
+  Float_t *data0 =  new Float_t[npoints*2];
+  Float_t *data[2];
+  data[0] = &data0[0];
+  data[1] = &data0[npoints];
+  for (Int_t i=0;i<npoints;i++) {
+    data[1][i]= gRandom->Rndm();
+    data[0][i]= gRandom->Rndm();
+    //data[1][i]= 0;
+    //data[0][i]= -i;
+  }
+  Float_t dataf[2];
+  TKDTreeIF *kdtree = new TKDTreeIF(npoints, 2, bsize, data);
+  //kdtree->Build();
+  for (Int_t i=0; i<npoints;i++){
+    Int_t index = kdtree->fIndPoints[i];
+    //printf("%d\t%d\t%f\n",i,index,data[0][index]);
+  }
+  for (Int_t i=0; i<kdtree->fNnodes;i++){
+    //printf("%d\t%f\n",i,kdtree->fNodes[i].fValue);
+  }
+  Float_t sumiter = 0;
+  for (Int_t i=0;i<npoints;i++){
+    dataf[0] = data[0][i];
+    dataf[1] = data[1][i];
+    Int_t index=-1;
+    Int_t iter =0;
+    kdtree->FindPoint(dataf,index, iter);
+    if (i!=index){
+      printf("%d\t%d\t%f\t%f\n",i,index,dataf[0],data[0][index]);
+    }
+    sumiter+=iter;
+  }
+  printf("Mean iter = %f\n",float(sumiter)/float(npoints));
+}
+
+
+void TestSizeIF(Int_t npoints, Int_t nrows, Int_t nsec, Int_t mode, Int_t bsize)
+{
+  //
+  // test size to build kdtree
+  //
+  Int_t before =Mem();
+  for (Int_t isec=0; isec<nsec;isec++)
+    for (Int_t irow=0;irow<nrows;irow++){
+      testkdtreeIF(npoints,0,mode,bsize);
+    }
+  Int_t after = Mem();
+  printf("Memory usage %d\n",after-before);
+}
+
+
+void  testkdtreeIF(Int_t npoints, Int_t nloop, Int_t mode, Int_t bsize)
+{
+  //
+  // test speed and functionality of kdtree
+  //
+  Float_t rangey  = 100;
+  Float_t rangez  = 100;
+  Float_t drangey = 0.1;
+  Float_t drangez = 0.1;
+//   Float_t rangey  = 20;
+//   Float_t rangez  = 250;
+//   Float_t drangey = 1;
+//   Float_t drangez = 1;
+
+  //
+  Float_t *data0 =  new Float_t[npoints*2];
+  Float_t *data[2];
+  data[0] = &data0[0];
+  data[1] = &data0[npoints];
+  Int_t i;   
+  for (i=0; i<npoints; i++){
+    data[0][i]          = gRandom->Uniform(-rangey, rangey);
+    data[1][i]          = gRandom->Uniform(-rangez, rangez);
+    //     data[i+npoints]  = TMath::Nint(gRandom->Uniform(-rangez, rangez)/10.)*10.;
+    //printf("%d %f  %f\n", i, data[i], data[i+npoints]);     
+  }
+  TStopwatch timerbuild;
+  TKDTree<Int_t, Float_t> *kdtree = new TKDTree<Int_t, Float_t>(npoints,2,bsize,data);
+   kdtree->Build();
+   timerbuild.Stop();
+   timerbuild.Print();
+  TStopwatch timer;
+
+   Float_t countern=0;
+   Float_t counteriter  = 0;
+   Float_t counterfound = 0;
+
+
+   if (mode ==2){ 
+     if (nloop) timer.Start();
+     Int_t res[npoints];
+     Int_t nfound = 0;
+     for (Int_t kloop = 0;kloop<nloop;kloop++){
+       if (kloop==0){
+        counteriter = 0;
+        counterfound= 0; 
+        countern    = 0;
+       }
+       for (Int_t i=0;i<npoints;i++){
+        Float_t point[2]={data[0][i],data[1][i]};
+        Float_t delta[2]={drangey,drangez};
+        Int_t iter  =0;
+        nfound =0;
+        Int_t bnode =0;
+        //kdtree->FindBNode(point,delta, bnode);
+        //continue;
+        kdtree->FindInRangeA(point,delta,res,nfound,iter,bnode);
+        if (kloop==0){
+          //Bool_t isOK = kTRUE;
+          Bool_t isOK = kFALSE;
+          for (Int_t ipoint=0;ipoint<nfound;ipoint++)
+            if (res[ipoint]==i) isOK =kTRUE;
+          counteriter+=iter;
+          counterfound+=nfound;
+          if (isOK) {
+            countern++;
+          }else{
+            printf("Bug\n");
+          }
+        }
+       } 
+     }
+     if (nloop){
+       timer.Stop();
+       timer.Print();
+     }
+   }
+   delete [] data0;
+
+   counteriter/=npoints;
+   counterfound/=npoints;
+   if (nloop) printf("Find nearest point:\t%f\t%f\t%f\n",countern, counteriter, counterfound); 
+}