[RF] Always use RooVectorDataStore in stressRooFit

This is done to support the new batched evaluations mode.
guitargeek · Aug 10, 2021 · 3a9084a · 3a9084a
1 parent 17735c9
commit 3a9084a
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diff --git a/test/stressRooFit_tests.h b/test/stressRooFit_tests.h
@@ -3435,6 +3435,7 @@ class TestBasic403 : public RooUnitTest
 
   // Instruct dataset d in interpret w as event weight rather than as observable
   RooDataSet dataw(data->GetName(),data->GetTitle(),data,*data->get(),0,w->GetName()) ;
+  dataw.convertToVectorStore();
   //data->setWeightVar(*w) ;
 
 

diff --git a/tutorials/roofit/rf208_convolution.C b/tutorials/roofit/rf208_convolution.C
@@ -60,8 +60,14 @@ void rf208_convolution()
    // Sample 1000 events in x from gxlx
    RooDataSet *data = lxg.generate(t, 10000);
 
+   RooArgList list;
+   lxg.treeNodeServerList(&list);
+   list.Print();
+
+   //return;
+
    // Fit gxlx to data
-   lxg.fitTo(*data);
+   lxg.fitTo(*data, BatchMode(1));
 
    // Plot data, landau pdf, landau (X) gauss pdf
    RooPlot *frame = t.frame(Title("landau (x) gauss convolution"));