[#1] INFO:Fitting -- RooAbsPdf::fitTo(gauss_over_gauss_Int[x]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using generic CPU library compiled with no vectorizations
[#1] INFO:Fitting -- Creation of NLL object took 7.19023 ms
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_gauss_over_gauss_Int[x]_dh) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:DataHandling -- RooTreeDataStore::loadValues(ds) Skipping event #0 because y cannot accommodate the value 14.424
[#1] INFO:DataHandling -- RooTreeDataStore::loadValues(ds) Skipping event #3 because y cannot accommodate the value -12.0022
[#1] INFO:DataHandling -- RooTreeDataStore::loadValues(ds) Skipping event #5 because y cannot accommodate the value 13.8261
[#1] INFO:DataHandling -- RooTreeDataStore::loadValues(ds) Skipping event #6 because y cannot accommodate the value -14.9925
[#1] INFO:DataHandling -- RooTreeDataStore::loadValues(ds) Skipping ...
[#0] WARNING:DataHandling -- RooTreeDataStore::loadValues(ds) Ignored 36 out-of-range events

-----------------------
Reading data from ASCII
[#1] INFO:DataHandling -- RooDataSet::read: reading file rf102_testData.txt
[#1] INFO:DataHandling -- RooDataSet::read: read 64 events (ignored 0 out of range events)
DataStore dataset (rf102_testData.txt)
  Contains 64 entries
  Observables: 
    1)           x = 0.0174204  L(-10 - 10)  "x"
    2)           y = 9.46654  L(-10 - 10)  "y"
    3)  blindState = Normal(idx = 0)
  "Blinding State"

Original data, line 20:
  1) RooRealVar:: x = -0.79919
  2) RooRealVar:: y = 0.0106407

Read-back data, line 20:
  1) RooRealVar::          x = -0.79919
  2) RooRealVar::          y = 0.0106407
  3) RooCategory:: blindState = Normal(idx = 0)

RooDataSet::ds[x,y] = 64 entries