class TQSystematicsManager

 register a sample folder to the given path

 retrieve the sample folder for the variation given

 return true if a systematic matches the blacklist filter

 include a normalization systematic

 include a histogram systematic

 process a systematic by smoothing it
 return true if a smoothing has been performed, false otherwise

 Fix shape by symmetrizing maximum relative variation in each bin
 alternative to systsToSymmetrizeMaxBins
 return true if a symmetrization has been performed, false otherwise

 Cut-off systs with artificially high bins
 return true if histogram is found to violate the cutoff, false if it is found to be ok

 Check flatness of a shape histogram using a chi2 fit of a flat line
 return true if histogram is found to be flat, false otherwise

 Fix shape by symmetrizing one-sided bins
 return true if a symmetrization has been performed, false otherwise

 returns true if the systematic is kept, false causes the systematic to be dropped

 checks if a systematic should be extempt from some treatment
 'select.tag'/'select.name' specifies whitelist(s) for systematics that some treatment should be applied to
 'except.tag'/'except.name' specifies blacklist(s) for systematics that some treatment should NOT be applied to

 process the overall systematics, applying pruning and symmetrization

 attempt to obtain a histogram from the folder

 attempt to obtain a histogram from the folder

 attempt to obtain a histogram from the folder

 attempt to obtain a histogram from the folder

 Pruning based on contribution of sample in channel.
 If a sample contributes less in the channel than 'threshold' percent of the specified total,
 the systematic attached to that sample is pruned.

 compute the variation based on the information in the computeFolder
@tag: [Mode] mode used for the computation of the Up/Down variations from the input variations. Possible values include: single,difference,minimum,maximum,envelope,stddev,hessian
@tag: [Variations] list of input variations to use for the computation of the Up/Down variations
@tag: [Baseline] baseline variation to be used (default: Nominal)
@tag: [StatError] stat error histogram to be used
@tag: [Direction] direction of this variation (+1 for Up, -1 for Down)
@tag: [Scale] scale up or down this variation by some arbitrary factor
@tag: [TransferRelative] transfer relative variation instead of absolute (default: true)
 @tag[Smoothing.SmoothBins]: A vector of integers specifying the bin boundaries to be used for
     calculating the relative variation between nominal and a variation. This relative variation
     is applied to the nominal histogram to get the smoothed variation.
     Example: Given a nominal histogram with 7 bins and the following tag applied Smoothing.SmoothBins={1, 2, 3, 5, 8}
     means the relative variation would be calculated for the last 3 bins merged, that is, the sum of bin 5, 6, 7
     for nominal (Nom_567) and the variation (Var_567) is taken and the smoothed variational histogram
bins will become:  Var_5 = Var_567/Nom_567*Nom_5, Var_6=Var_567/Nom_567*Nom_6, ... 

 normalize histogram variation to get shape variation

 set the prefix of all systematics histogram to use in the repository

 set the prefix of all variations histogram to use in the repository

 store a variation (input) histogram

 store a variation (input) histogram

 store a systematic (output) histogram

 store a variation (input) histogram

 magnify a variation by an exponent

 print an info message

 print a red error message

 print a yellow warning message

 bins to smooth histograms manually