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Examples with TUnfold

Is it possible to create a toy model (example) where one can also test TUnfold?

On the current master, 8977e40, I fixed #1 to get TUnfold working. However, running the sample data I would receive following output:

./toyModel/testBiasTUnfold.py nobias && mv *.eps results_TUnfold_regFirstDer/
This software has been produced using the ideas put forth in:
Choudalakis, G., ``Fully Bayesian Unfolding'', physics.data-an:1201.4612, https://arxiv.org/abs/1201.4612
Please cite it if you plan to publish this.
More information on the software itself can be found in https://github.com/daniloefl/Unfolder

Checking bias due to configuration 'A'
Info in <TUnfold::SetConstraint>: fConstraint=0
Info in <TUnfold::TUnfold>: underflow and overflow bin do not depend on the input data
Info in <TUnfold::TUnfold>: 4 input bins and 4 output bins
TUnfold::TUnfold:0: RuntimeWarning: too few (ny=4) input bins for nx=4 output bins
Info in <TUnfoldDensity::TUnfold>: *NOT* unfolding bin #0 (yaxis:[ufl])
Info in <TUnfoldDensity::TUnfold>: *NOT* unfolding bin #5 (yaxis:[ofl])
Info in <TUnfoldDensity::RegularizeOneDistribution>: regularizing yaxis regMode=2 densityMode=0 axisSteering=*[UOB]
TUnfoldDensity::SetInput:0: RuntimeWarning: 4/4 input bins have zero error, and are ignored.
TUnfoldDensity::SetInput:0: RuntimeWarning: no data to constrain output bin #1 (yaxis:[-0.5,0.5])
TUnfoldDensity::SetInput:0: RuntimeWarning: no data to constrain output bin #2 (yaxis:[0.5,1.5])
TUnfoldDensity::SetInput:0: RuntimeWarning: no data to constrain output bin #3 (yaxis:[1.5,2.5])
TUnfoldDensity::SetInput:0: RuntimeWarning: no data to constrain output bin #4 (yaxis:[2.5,3.5])
Error in <TUnfoldDensity::SetInput>: 4/4 output bins are not constrained by any data.
scanRegParameter: parameter =  0.0  /  0.19
getBiasFromToys: Throwing toy experiment 0/1000
TUnfoldDensity::GetInputInverseEmatrix:0: RuntimeWarning: number of parameters 4 = input rank 4. Problem is ill posed
TUnfoldDensity::GetInputInverseEmatrix:0: RuntimeWarning: number of parameters 4 = input rank 4. Problem is ill posed
TUnfoldDensity::GetInputInverseEmatrix:0: RuntimeWarning: number of parameters 4 = input rank 4. Problem is ill posed
[...]

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