// Class: ReadElectron_Upstream_TMVA
// Automatically generated by MethodBase::MakeClass
//

/* configuration options =====================================================

#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method         : MLP::Electron_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Wed Apr 10 15:24:53 2013
Host           : Linux lxbuild175.cern.ch 2.6.18-308.4.1.el5 #1 SMP Wed Apr 18 16:26:27 CEST 2012 x86_64 x86_64 x86_64 GNU/Linux
Dir            : /afs/cern.ch/work/j/jonrob/www/ANNPID/MC12/TrainAllTks-EvalAllTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/Electron/Upstream
Training events: 1000000
Analysis type  : [Classification]


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "29" [Specification of hidden layer architecture]
NeuronType: "tanh" [Neuron activation function type]
EstimatorType: "CE" [MSE (Mean Square Estimator) for Gaussian Likelihood or CE(Cross-Entropy) for Bernoulli Likelihood]
V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
VarTransform: "Norm" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
H: "True" [Print method-specific help message]
TrainingMethod: "BP" [Train with Back-Propagation (BP), BFGS Algorithm (BFGS), or Genetic Algorithm (GA - slower and worse)]
EpochMonitoring: "True" [Provide epoch-wise monitoring plots according to TestRate (caution: causes big ROOT output file!)]
# Default:
RandomSeed: "1" [Random seed for initial synapse weights (0 means unique seed for each run; default value '1')]
NeuronInputType: "sum" [Neuron input function type]
VerbosityLevel: "Verbose" [Verbosity level]
CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
LearningRate: "2.000000e-02" [ANN learning rate parameter]
DecayRate: "1.000000e-02" [Decay rate for learning parameter]
TestRate: "10" [Test for overtraining performed at each #th epochs]
Sampling: "1.000000e+00" [Only 'Sampling' (randomly selected) events are trained each epoch]
SamplingEpoch: "1.000000e+00" [Sampling is used for the first 'SamplingEpoch' epochs, afterwards, all events are taken for training]
SamplingImportance: "1.000000e+00" [ The sampling weights of events in epochs which successful (worse estimator than before) are multiplied with SamplingImportance, else they are divided.]
SamplingTraining: "True" [The training sample is sampled]
SamplingTesting: "False" [The testing sample is sampled]
ResetStep: "50" [How often BFGS should reset history]
Tau: "3.000000e+00" [LineSearch "size step"]
BPMode: "sequential" [Back-propagation learning mode: sequential or batch]
BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events]
ConvergenceImprove: "1.000000e-30" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "-1" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
UpdateLimit: "10000" [Maximum times of regulator update]
CalculateErrors: "False" [Calculates inverse Hessian matrix at the end of the training to be able to calculate the uncertainties of an MVA value]
WeightRange: "1.000000e+00" [Take the events for the estimator calculations from small deviations from the desired value to large deviations only over the weight range]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 21
TrackP                        TrackP                        TrackP                        TrackP                                                          'F'    [172.490005493,4970293.5]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [0.832938909531,995273.875]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00302399252541,2.999573946]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,28]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-99.6241531372,-0.319228202105]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0317582078278,1]
TrackCloneDist                TrackCloneDist                TrackCloneDist                TrackCloneDist                                                  'F'    [-999,4999.73632812]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [2.50487555604e-05,51.0802001953]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,24]
RichUsedAero                  RichUsedAero                  RichUsedAero                  RichUsedAero                                                    'I'    [0,1]
RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                                                   'I'    [0,1]
RichAboveMuThres              RichAboveMuThres              RichAboveMuThres              RichAboveMuThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichDLLe                      RichDLLe                      RichDLLe                      RichDLLe                                                        'F'    [-999,107.511299133]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,69.573600769]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,99.5278015137]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,62.6166000366]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.8530006409]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.486891388893,5.4943819046]
NSpec 0


============================================================================ */

#include <vector>
#include <cmath>
#include <string>
#include <iostream>

#ifndef IClassifierReader__def
#define IClassifierReader__def

class IClassifierReader {

 public:

   // constructor
   IClassifierReader() : fStatusIsClean( true ) {}
   virtual ~IClassifierReader() {}

   // return classifier response
   virtual double GetMvaValue( const std::vector<double>& inputValues ) const = 0;

   // returns classifier status
   bool IsStatusClean() const { return fStatusIsClean; }

 protected:

   bool fStatusIsClean;
};

#endif

class ReadElectron_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadElectron_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadElectron_Upstream_TMVA" ),
        fNvars( 21 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackCloneDist", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAboveMuThres", "RichAboveKaThres", "RichDLLe", "RichDLLmu", "RichDLLk", "RichDLLp", "RichDLLbt", "InAccBrem", "BremPIDe", "VeloCharge" };

      // sanity checks
      if (theInputVars.size() <= 0) {
         std::cout << "Problem in class \"" << fClassName << "\": empty input vector" << std::endl;
         fStatusIsClean = false;
      }

      if (theInputVars.size() != fNvars) {
         std::cout << "Problem in class \"" << fClassName << "\": mismatch in number of input values: "
                   << theInputVars.size() << " != " << fNvars << std::endl;
         fStatusIsClean = false;
      }

      // validate input variables
      for (size_t ivar = 0; ivar < theInputVars.size(); ivar++) {
         if (theInputVars[ivar] != inputVars[ivar]) {
            std::cout << "Problem in class \"" << fClassName << "\": mismatch in input variable names" << std::endl
                      << " for variable [" << ivar << "]: " << theInputVars[ivar].c_str() << " != " << inputVars[ivar] << std::endl;
            fStatusIsClean = false;
         }
      }

      // initialize min and max vectors (for normalisation)
      fVmin[0] = -1;
      fVmax[0] = 1;
      fVmin[1] = -1;
      fVmax[1] = 1;
      fVmin[2] = -1;
      fVmax[2] = 1;
      fVmin[3] = -1;
      fVmax[3] = 1;
      fVmin[4] = -1;
      fVmax[4] = 1;
      fVmin[5] = -1;
      fVmax[5] = 1;
      fVmin[6] = -1;
      fVmax[6] = 1;
      fVmin[7] = -1;
      fVmax[7] = 1;
      fVmin[8] = -1;
      fVmax[8] = 1;
      fVmin[9] = -1;
      fVmax[9] = 1;
      fVmin[10] = -1;
      fVmax[10] = 1;
      fVmin[11] = -1;
      fVmax[11] = 1;
      fVmin[12] = -1;
      fVmax[12] = 1;
      fVmin[13] = -1;
      fVmax[13] = 1;
      fVmin[14] = -1;
      fVmax[14] = 1;
      fVmin[15] = -1;
      fVmax[15] = 1;
      fVmin[16] = -1;
      fVmax[16] = 1;
      fVmin[17] = -1;
      fVmax[17] = 1;
      fVmin[18] = -1;
      fVmax[18] = 1;
      fVmin[19] = -1;
      fVmax[19] = 1;
      fVmin[20] = -1;
      fVmax[20] = 1;

      // initialize input variable types
      fType[0] = 'F';
      fType[1] = 'F';
      fType[2] = 'F';
      fType[3] = 'I';
      fType[4] = 'F';
      fType[5] = 'F';
      fType[6] = 'F';
      fType[7] = 'F';
      fType[8] = 'I';
      fType[9] = 'I';
      fType[10] = 'I';
      fType[11] = 'I';
      fType[12] = 'I';
      fType[13] = 'F';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'F';
      fType[18] = 'I';
      fType[19] = 'F';
      fType[20] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadElectron_Upstream_TMVA() {
      Clear(); // method-specific
   }

   // the classifier response
   // "inputValues" is a vector of input values in the same order as the 
   // variables given to the constructor
   double GetMvaValue( const std::vector<double>& inputValues ) const;

 private:

   // method-specific destructor
   void Clear();

   // input variable transformation

   double fMin_1[3][21];
   double fMax_1[3][21];
   void InitTransform_1();
   void Transform_1( std::vector<double> & iv, int sigOrBgd ) const;
   void InitTransform();
   void Transform( std::vector<double> & iv, int sigOrBgd ) const;

   // common member variables
   const char* fClassName;

   const size_t fNvars;
   size_t GetNvar()           const { return fNvars; }
   char   GetType( int ivar ) const { return fType[ivar]; }

   // normalisation of input variables
   const bool fIsNormalised;
   bool IsNormalised() const { return fIsNormalised; }
   double fVmin[21];
   double fVmax[21];
   double NormVariable( double x, double xmin, double xmax ) const {
      // normalise to output range: [-1, 1]
      return 2*(x - xmin)/(xmax - xmin) - 1.0;
   }

   // type of input variable: 'F' or 'I'
   char   fType[21];

   // initialize internal variables
   void Initialize();
   double GetMvaValue__( const std::vector<double>& inputValues ) const;

   // private members (method specific)

   double ActivationFnc(double x) const;
   double OutputActivationFnc(double x) const;

   int fLayers;
   int fLayerSize[3];
   double fWeightMatrix0to1[30][22];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][30];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadElectron_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 22; fWeights[0] = new double[22]; 
   fLayerSize[1] = 30; fWeights[1] = new double[30]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = 0.161388331028621;
   fWeightMatrix0to1[1][0] = 1.24412333800516;
   fWeightMatrix0to1[2][0] = 0.738841261871319;
   fWeightMatrix0to1[3][0] = -2.68428838861646;
   fWeightMatrix0to1[4][0] = 0.205828418824458;
   fWeightMatrix0to1[5][0] = -2.39187904807069;
   fWeightMatrix0to1[6][0] = -0.206569485384614;
   fWeightMatrix0to1[7][0] = -0.00721115007954469;
   fWeightMatrix0to1[8][0] = -2.28644141305978;
   fWeightMatrix0to1[9][0] = -1.04216866732318;
   fWeightMatrix0to1[10][0] = 2.21284162246233;
   fWeightMatrix0to1[11][0] = -7.10402991859157;
   fWeightMatrix0to1[12][0] = -2.32565949864873;
   fWeightMatrix0to1[13][0] = -2.77880999466555;
   fWeightMatrix0to1[14][0] = -1.25906718695674;
   fWeightMatrix0to1[15][0] = 3.01953599372347;
   fWeightMatrix0to1[16][0] = -2.14479653835402;
   fWeightMatrix0to1[17][0] = 2.49036832331569;
   fWeightMatrix0to1[18][0] = -3.35693936954398;
   fWeightMatrix0to1[19][0] = 0.0673774276035419;
   fWeightMatrix0to1[20][0] = -6.37628857861806;
   fWeightMatrix0to1[21][0] = -4.64035392677932;
   fWeightMatrix0to1[22][0] = 3.07457295655803;
   fWeightMatrix0to1[23][0] = 0.353749560576557;
   fWeightMatrix0to1[24][0] = -1.54177386842395;
   fWeightMatrix0to1[25][0] = -0.848206633542253;
   fWeightMatrix0to1[26][0] = 4.80246779858698;
   fWeightMatrix0to1[27][0] = -1.66581039104125;
   fWeightMatrix0to1[28][0] = -3.07146574078411;
   fWeightMatrix0to1[0][1] = 1.22381293142401;
   fWeightMatrix0to1[1][1] = -0.0616510464293201;
   fWeightMatrix0to1[2][1] = 2.01970559462385;
   fWeightMatrix0to1[3][1] = -4.98746254872791;
   fWeightMatrix0to1[4][1] = 1.04844218071046;
   fWeightMatrix0to1[5][1] = 0.265713535272766;
   fWeightMatrix0to1[6][1] = -0.191852415950667;
   fWeightMatrix0to1[7][1] = -2.4434699352133;
   fWeightMatrix0to1[8][1] = 0.676823460974061;
   fWeightMatrix0to1[9][1] = -0.929513260579161;
   fWeightMatrix0to1[10][1] = 2.46253512849902;
   fWeightMatrix0to1[11][1] = -3.92629522202621;
   fWeightMatrix0to1[12][1] = -0.465554129274938;
   fWeightMatrix0to1[13][1] = 0.940193657187766;
   fWeightMatrix0to1[14][1] = 0.567446286294475;
   fWeightMatrix0to1[15][1] = -0.839522456590207;
   fWeightMatrix0to1[16][1] = -2.37214733908121;
   fWeightMatrix0to1[17][1] = 1.58997514040961;
   fWeightMatrix0to1[18][1] = -2.1033610420145;
   fWeightMatrix0to1[19][1] = 0.310075643275249;
   fWeightMatrix0to1[20][1] = 0.793461330587011;
   fWeightMatrix0to1[21][1] = 0.189752819489699;
   fWeightMatrix0to1[22][1] = 0.950946171523217;
   fWeightMatrix0to1[23][1] = -1.30193546013823;
   fWeightMatrix0to1[24][1] = 1.46084602361604;
   fWeightMatrix0to1[25][1] = -2.57626563186994;
   fWeightMatrix0to1[26][1] = 1.22504464385497;
   fWeightMatrix0to1[27][1] = -1.90605775261205;
   fWeightMatrix0to1[28][1] = -3.08331297448862;
   fWeightMatrix0to1[0][2] = 0.390117195939382;
   fWeightMatrix0to1[1][2] = 0.986108975521244;
   fWeightMatrix0to1[2][2] = -0.455553316081042;
   fWeightMatrix0to1[3][2] = 1.11971215748887;
   fWeightMatrix0to1[4][2] = 1.93474437252262;
   fWeightMatrix0to1[5][2] = -0.579785583750198;
   fWeightMatrix0to1[6][2] = 0.277006982102954;
   fWeightMatrix0to1[7][2] = -1.265498850857;
   fWeightMatrix0to1[8][2] = 4.5137005101102;
   fWeightMatrix0to1[9][2] = -1.94564282724387;
   fWeightMatrix0to1[10][2] = 0.520535785179296;
   fWeightMatrix0to1[11][2] = -0.565456800628394;
   fWeightMatrix0to1[12][2] = 0.0678838059342017;
   fWeightMatrix0to1[13][2] = -1.0353244134528;
   fWeightMatrix0to1[14][2] = 0.117798955927749;
   fWeightMatrix0to1[15][2] = -2.95112908460308;
   fWeightMatrix0to1[16][2] = -0.0443625230194657;
   fWeightMatrix0to1[17][2] = 0.24726063562737;
   fWeightMatrix0to1[18][2] = -5.65922659229303;
   fWeightMatrix0to1[19][2] = -2.19735037801238;
   fWeightMatrix0to1[20][2] = 1.42854060161023;
   fWeightMatrix0to1[21][2] = 0.304560891091714;
   fWeightMatrix0to1[22][2] = 0.381248407249413;
   fWeightMatrix0to1[23][2] = 0.232388030741638;
   fWeightMatrix0to1[24][2] = 0.0835153000389184;
   fWeightMatrix0to1[25][2] = -0.278446727497451;
   fWeightMatrix0to1[26][2] = 1.87305454220127;
   fWeightMatrix0to1[27][2] = 0.174357903420653;
   fWeightMatrix0to1[28][2] = 0.0200171530323994;
   fWeightMatrix0to1[0][3] = -0.306038106798581;
   fWeightMatrix0to1[1][3] = -0.837519774265109;
   fWeightMatrix0to1[2][3] = -3.69381548972842;
   fWeightMatrix0to1[3][3] = -5.52613258582784;
   fWeightMatrix0to1[4][3] = -1.76640817886193;
   fWeightMatrix0to1[5][3] = 4.17587716542952;
   fWeightMatrix0to1[6][3] = -0.447804047148297;
   fWeightMatrix0to1[7][3] = -0.283517983609854;
   fWeightMatrix0to1[8][3] = 2.62456597575573;
   fWeightMatrix0to1[9][3] = 0.229897660688707;
   fWeightMatrix0to1[10][3] = 1.31642615241604;
   fWeightMatrix0to1[11][3] = -1.24361734895914;
   fWeightMatrix0to1[12][3] = -4.62933738460917;
   fWeightMatrix0to1[13][3] = -1.9820597915735;
   fWeightMatrix0to1[14][3] = -1.98947412860924;
   fWeightMatrix0to1[15][3] = -0.77209492248607;
   fWeightMatrix0to1[16][3] = 0.437831187772455;
   fWeightMatrix0to1[17][3] = -0.384597995619074;
   fWeightMatrix0to1[18][3] = 7.40456451198428;
   fWeightMatrix0to1[19][3] = -2.44182535888105;
   fWeightMatrix0to1[20][3] = 29.107947789068;
   fWeightMatrix0to1[21][3] = -0.00335811602014175;
   fWeightMatrix0to1[22][3] = 4.1558174808906;
   fWeightMatrix0to1[23][3] = -0.484799685416;
   fWeightMatrix0to1[24][3] = -1.17761833565334;
   fWeightMatrix0to1[25][3] = 2.92405253062665;
   fWeightMatrix0to1[26][3] = -13.7490080798147;
   fWeightMatrix0to1[27][3] = -1.76672983251106;
   fWeightMatrix0to1[28][3] = 3.52692693822374;
   fWeightMatrix0to1[0][4] = 2.13130363641383;
   fWeightMatrix0to1[1][4] = -0.660764901104573;
   fWeightMatrix0to1[2][4] = 1.66224987817057;
   fWeightMatrix0to1[3][4] = -5.51958812552494;
   fWeightMatrix0to1[4][4] = -3.64762847576745;
   fWeightMatrix0to1[5][4] = 2.17870570960009;
   fWeightMatrix0to1[6][4] = 0.521127633248369;
   fWeightMatrix0to1[7][4] = 1.45483754885053;
   fWeightMatrix0to1[8][4] = -0.617482529858315;
   fWeightMatrix0to1[9][4] = 1.2644271877996;
   fWeightMatrix0to1[10][4] = 4.56445329161398;
   fWeightMatrix0to1[11][4] = -3.536585796307;
   fWeightMatrix0to1[12][4] = -8.65171014314292;
   fWeightMatrix0to1[13][4] = 0.865597533637665;
   fWeightMatrix0to1[14][4] = 0.7491680078232;
   fWeightMatrix0to1[15][4] = -0.0746404765027284;
   fWeightMatrix0to1[16][4] = 1.5882602778888;
   fWeightMatrix0to1[17][4] = -0.848520152983627;
   fWeightMatrix0to1[18][4] = -3.60852745136991;
   fWeightMatrix0to1[19][4] = -0.240797331254536;
   fWeightMatrix0to1[20][4] = -1.84014447850265;
   fWeightMatrix0to1[21][4] = -0.510970585825988;
   fWeightMatrix0to1[22][4] = 1.87597789930266;
   fWeightMatrix0to1[23][4] = 4.40293894834139;
   fWeightMatrix0to1[24][4] = -4.46748471494517;
   fWeightMatrix0to1[25][4] = 0.482583500463396;
   fWeightMatrix0to1[26][4] = -0.746212990172976;
   fWeightMatrix0to1[27][4] = 0.242457450912051;
   fWeightMatrix0to1[28][4] = -0.385161916737824;
   fWeightMatrix0to1[0][5] = -0.616229934241575;
   fWeightMatrix0to1[1][5] = 1.59902088644206;
   fWeightMatrix0to1[2][5] = -0.618296055206474;
   fWeightMatrix0to1[3][5] = -1.00996843258307;
   fWeightMatrix0to1[4][5] = 0.132180386538525;
   fWeightMatrix0to1[5][5] = 0.667634140178266;
   fWeightMatrix0to1[6][5] = -0.756199190729077;
   fWeightMatrix0to1[7][5] = 4.61824473931826;
   fWeightMatrix0to1[8][5] = -1.8926765107252;
   fWeightMatrix0to1[9][5] = -0.290545797542859;
   fWeightMatrix0to1[10][5] = 0.943880560268771;
   fWeightMatrix0to1[11][5] = 0.424552478330224;
   fWeightMatrix0to1[12][5] = -0.575345569364212;
   fWeightMatrix0to1[13][5] = -1.777998282758;
   fWeightMatrix0to1[14][5] = -0.614086124027211;
   fWeightMatrix0to1[15][5] = 10.5073830434837;
   fWeightMatrix0to1[16][5] = 0.69325409445851;
   fWeightMatrix0to1[17][5] = 1.08217703464806;
   fWeightMatrix0to1[18][5] = -3.3959166651497;
   fWeightMatrix0to1[19][5] = 5.50132641139135;
   fWeightMatrix0to1[20][5] = 0.273872467910904;
   fWeightMatrix0to1[21][5] = -0.228758563771953;
   fWeightMatrix0to1[22][5] = -0.937867273266433;
   fWeightMatrix0to1[23][5] = -0.0561536117360809;
   fWeightMatrix0to1[24][5] = 0.29249169208093;
   fWeightMatrix0to1[25][5] = 1.64111796769791;
   fWeightMatrix0to1[26][5] = -1.67018167396992;
   fWeightMatrix0to1[27][5] = -0.521641333095583;
   fWeightMatrix0to1[28][5] = 0.669969729114541;
   fWeightMatrix0to1[0][6] = 5.61824613642181;
   fWeightMatrix0to1[1][6] = -1.44208171177481;
   fWeightMatrix0to1[2][6] = -0.212892519201237;
   fWeightMatrix0to1[3][6] = 0.440488936282459;
   fWeightMatrix0to1[4][6] = -0.145679182361685;
   fWeightMatrix0to1[5][6] = -5.49587496246076;
   fWeightMatrix0to1[6][6] = -1.55083771925672;
   fWeightMatrix0to1[7][6] = -0.195226688855261;
   fWeightMatrix0to1[8][6] = 2.56512734593966;
   fWeightMatrix0to1[9][6] = -3.45127821243542;
   fWeightMatrix0to1[10][6] = -5.45075038802771;
   fWeightMatrix0to1[11][6] = 0.286876100005026;
   fWeightMatrix0to1[12][6] = 0.919498935426651;
   fWeightMatrix0to1[13][6] = 3.10451205045111;
   fWeightMatrix0to1[14][6] = -2.2260226924331;
   fWeightMatrix0to1[15][6] = -0.100748765007074;
   fWeightMatrix0to1[16][6] = 0.0098215226233238;
   fWeightMatrix0to1[17][6] = -0.706560391013024;
   fWeightMatrix0to1[18][6] = 5.50078646228901;
   fWeightMatrix0to1[19][6] = 1.28707747724802;
   fWeightMatrix0to1[20][6] = 0.350594563554473;
   fWeightMatrix0to1[21][6] = 0.296080464750074;
   fWeightMatrix0to1[22][6] = -1.51996070980137;
   fWeightMatrix0to1[23][6] = 1.31247621717884;
   fWeightMatrix0to1[24][6] = -0.328910251585605;
   fWeightMatrix0to1[25][6] = -3.56818208596691;
   fWeightMatrix0to1[26][6] = -1.14526285201101;
   fWeightMatrix0to1[27][6] = -0.246765627945317;
   fWeightMatrix0to1[28][6] = -0.203180575742223;
   fWeightMatrix0to1[0][7] = 0.704540537917767;
   fWeightMatrix0to1[1][7] = 0.892034035896318;
   fWeightMatrix0to1[2][7] = 1.20629898171941;
   fWeightMatrix0to1[3][7] = -1.8179333089748;
   fWeightMatrix0to1[4][7] = -3.14280727667655;
   fWeightMatrix0to1[5][7] = 0.703917567344352;
   fWeightMatrix0to1[6][7] = 1.39241634268855;
   fWeightMatrix0to1[7][7] = 1.99761739995543;
   fWeightMatrix0to1[8][7] = -2.10149588048172;
   fWeightMatrix0to1[9][7] = 2.14746556751524;
   fWeightMatrix0to1[10][7] = 0.871646549723412;
   fWeightMatrix0to1[11][7] = 0.601989976644855;
   fWeightMatrix0to1[12][7] = 0.474087206770703;
   fWeightMatrix0to1[13][7] = 2.05706415700551;
   fWeightMatrix0to1[14][7] = -0.93242958586454;
   fWeightMatrix0to1[15][7] = -2.58176473621411;
   fWeightMatrix0to1[16][7] = 1.40368692146648;
   fWeightMatrix0to1[17][7] = 0.697392572153584;
   fWeightMatrix0to1[18][7] = 1.58213161180083;
   fWeightMatrix0to1[19][7] = -0.317134503820698;
   fWeightMatrix0to1[20][7] = -3.24396075448711;
   fWeightMatrix0to1[21][7] = 4.51810388597822;
   fWeightMatrix0to1[22][7] = 0.766107248883588;
   fWeightMatrix0to1[23][7] = -1.23587382663473;
   fWeightMatrix0to1[24][7] = -0.176191350698106;
   fWeightMatrix0to1[25][7] = -2.16202043360125;
   fWeightMatrix0to1[26][7] = -9.7153657711687;
   fWeightMatrix0to1[27][7] = 1.03971125174673;
   fWeightMatrix0to1[28][7] = -0.286217422546735;
   fWeightMatrix0to1[0][8] = 0.916091871344295;
   fWeightMatrix0to1[1][8] = -0.262916488574594;
   fWeightMatrix0to1[2][8] = 2.39578163184237;
   fWeightMatrix0to1[3][8] = 1.15862737723604;
   fWeightMatrix0to1[4][8] = 1.19544751746025;
   fWeightMatrix0to1[5][8] = -4.64326912374314;
   fWeightMatrix0to1[6][8] = -0.0627313946286702;
   fWeightMatrix0to1[7][8] = 0.858674994614511;
   fWeightMatrix0to1[8][8] = -0.0748591620715754;
   fWeightMatrix0to1[9][8] = -1.62477828984988;
   fWeightMatrix0to1[10][8] = -1.55724106096744;
   fWeightMatrix0to1[11][8] = -1.40472880814299;
   fWeightMatrix0to1[12][8] = -0.104151291570953;
   fWeightMatrix0to1[13][8] = 0.788333780622984;
   fWeightMatrix0to1[14][8] = -1.38906849562358;
   fWeightMatrix0to1[15][8] = 7.20928606424524;
   fWeightMatrix0to1[16][8] = 0.66521373041301;
   fWeightMatrix0to1[17][8] = -1.23913294433414;
   fWeightMatrix0to1[18][8] = -5.12709997656975;
   fWeightMatrix0to1[19][8] = -2.687628387278;
   fWeightMatrix0to1[20][8] = -26.3941717158619;
   fWeightMatrix0to1[21][8] = 0.432144125771355;
   fWeightMatrix0to1[22][8] = 6.94817825426723;
   fWeightMatrix0to1[23][8] = 0.598973478317682;
   fWeightMatrix0to1[24][8] = 1.172032160464;
   fWeightMatrix0to1[25][8] = -1.28626606633369;
   fWeightMatrix0to1[26][8] = 17.0548665988643;
   fWeightMatrix0to1[27][8] = -1.90966655779258;
   fWeightMatrix0to1[28][8] = -2.07532912102205;
   fWeightMatrix0to1[0][9] = 0.460051177313513;
   fWeightMatrix0to1[1][9] = 1.11974815564462;
   fWeightMatrix0to1[2][9] = -0.0156317734900031;
   fWeightMatrix0to1[3][9] = 3.78299021353;
   fWeightMatrix0to1[4][9] = -0.758080764814049;
   fWeightMatrix0to1[5][9] = -7.19670497448623;
   fWeightMatrix0to1[6][9] = 1.20694083863583;
   fWeightMatrix0to1[7][9] = -0.136689632298007;
   fWeightMatrix0to1[8][9] = -0.0656455631465305;
   fWeightMatrix0to1[9][9] = -0.695217127328532;
   fWeightMatrix0to1[10][9] = 1.55784732627136;
   fWeightMatrix0to1[11][9] = -0.0519292408634252;
   fWeightMatrix0to1[12][9] = 0.448742370928431;
   fWeightMatrix0to1[13][9] = 1.33896176961691;
   fWeightMatrix0to1[14][9] = -0.595451779619732;
   fWeightMatrix0to1[15][9] = -0.192444081213264;
   fWeightMatrix0to1[16][9] = 0.463453211882288;
   fWeightMatrix0to1[17][9] = -0.440205730731116;
   fWeightMatrix0to1[18][9] = 0.556197382469343;
   fWeightMatrix0to1[19][9] = 0.531197178119898;
   fWeightMatrix0to1[20][9] = -0.0476269479051039;
   fWeightMatrix0to1[21][9] = -6.89261238528194;
   fWeightMatrix0to1[22][9] = -1.06025972714735;
   fWeightMatrix0to1[23][9] = -1.36506270435922;
   fWeightMatrix0to1[24][9] = 0.050605689215721;
   fWeightMatrix0to1[25][9] = -3.52228970751488;
   fWeightMatrix0to1[26][9] = 0.116474368938576;
   fWeightMatrix0to1[27][9] = -1.51429696693245;
   fWeightMatrix0to1[28][9] = 0.595949325650918;
   fWeightMatrix0to1[0][10] = -3.71162309212316;
   fWeightMatrix0to1[1][10] = 1.83692673083455;
   fWeightMatrix0to1[2][10] = -0.460723043644806;
   fWeightMatrix0to1[3][10] = 2.29862896920077;
   fWeightMatrix0to1[4][10] = 1.45654405891961;
   fWeightMatrix0to1[5][10] = 0.884444502988143;
   fWeightMatrix0to1[6][10] = 0.577997669061718;
   fWeightMatrix0to1[7][10] = 0.938156710578661;
   fWeightMatrix0to1[8][10] = -1.31013192915376;
   fWeightMatrix0to1[9][10] = -2.99660079313588;
   fWeightMatrix0to1[10][10] = -0.739394143988732;
   fWeightMatrix0to1[11][10] = -3.09227689655811;
   fWeightMatrix0to1[12][10] = 3.4059037781465;
   fWeightMatrix0to1[13][10] = -1.20644991198557;
   fWeightMatrix0to1[14][10] = 0.812912985141775;
   fWeightMatrix0to1[15][10] = 0.396813908615871;
   fWeightMatrix0to1[16][10] = -1.21772541366447;
   fWeightMatrix0to1[17][10] = -1.63505732168714;
   fWeightMatrix0to1[18][10] = -1.7008516627376;
   fWeightMatrix0to1[19][10] = -0.0971991472698481;
   fWeightMatrix0to1[20][10] = -4.46982223686465;
   fWeightMatrix0to1[21][10] = -2.1446031507894;
   fWeightMatrix0to1[22][10] = -1.66304961598952;
   fWeightMatrix0to1[23][10] = 2.14998134476063;
   fWeightMatrix0to1[24][10] = -1.73419779781903;
   fWeightMatrix0to1[25][10] = -0.0215644437725882;
   fWeightMatrix0to1[26][10] = 2.51649310694697;
   fWeightMatrix0to1[27][10] = -1.43652020744877;
   fWeightMatrix0to1[28][10] = 4.95269012328008;
   fWeightMatrix0to1[0][11] = 6.20789929635061;
   fWeightMatrix0to1[1][11] = -0.5953128398748;
   fWeightMatrix0to1[2][11] = 0.148307167219769;
   fWeightMatrix0to1[3][11] = 0.188759023114509;
   fWeightMatrix0to1[4][11] = 0.341741979860961;
   fWeightMatrix0to1[5][11] = -1.50991761837366;
   fWeightMatrix0to1[6][11] = 1.89633513298487;
   fWeightMatrix0to1[7][11] = 0.284704957068517;
   fWeightMatrix0to1[8][11] = -0.551067211909437;
   fWeightMatrix0to1[9][11] = -3.94379656023195;
   fWeightMatrix0to1[10][11] = 1.75538595218603;
   fWeightMatrix0to1[11][11] = -3.43574347631628;
   fWeightMatrix0to1[12][11] = 2.20806980541515;
   fWeightMatrix0to1[13][11] = -0.584953272730046;
   fWeightMatrix0to1[14][11] = -1.30107884046171;
   fWeightMatrix0to1[15][11] = 0.0932341143680339;
   fWeightMatrix0to1[16][11] = -0.3741323181801;
   fWeightMatrix0to1[17][11] = -1.40861629322363;
   fWeightMatrix0to1[18][11] = -0.812923408129209;
   fWeightMatrix0to1[19][11] = 0.76242909879048;
   fWeightMatrix0to1[20][11] = -0.0294978462898425;
   fWeightMatrix0to1[21][11] = 0.33653817661175;
   fWeightMatrix0to1[22][11] = 0.264632521179447;
   fWeightMatrix0to1[23][11] = 2.34972957698239;
   fWeightMatrix0to1[24][11] = -3.53419418527903;
   fWeightMatrix0to1[25][11] = 0.0248548619373424;
   fWeightMatrix0to1[26][11] = -0.380581220745031;
   fWeightMatrix0to1[27][11] = -0.140900730224663;
   fWeightMatrix0to1[28][11] = -0.223094698268628;
   fWeightMatrix0to1[0][12] = -0.206429287019649;
   fWeightMatrix0to1[1][12] = 0.394734149220267;
   fWeightMatrix0to1[2][12] = -0.135052439435293;
   fWeightMatrix0to1[3][12] = 3.35004620729504;
   fWeightMatrix0to1[4][12] = 0.444749273443771;
   fWeightMatrix0to1[5][12] = 0.00370896636043471;
   fWeightMatrix0to1[6][12] = -0.971104870288327;
   fWeightMatrix0to1[7][12] = -0.420821309946375;
   fWeightMatrix0to1[8][12] = 0.0197551683296053;
   fWeightMatrix0to1[9][12] = 0.704004318505974;
   fWeightMatrix0to1[10][12] = 0.191659189199589;
   fWeightMatrix0to1[11][12] = 0.0199333253807623;
   fWeightMatrix0to1[12][12] = 0.0758147057273196;
   fWeightMatrix0to1[13][12] = -3.02639801430796;
   fWeightMatrix0to1[14][12] = -1.18930146028544;
   fWeightMatrix0to1[15][12] = -6.74626965982534;
   fWeightMatrix0to1[16][12] = 0.146134404193496;
   fWeightMatrix0to1[17][12] = -0.727452890796802;
   fWeightMatrix0to1[18][12] = -0.334225684217927;
   fWeightMatrix0to1[19][12] = -1.48584040306583;
   fWeightMatrix0to1[20][12] = -0.182410778254028;
   fWeightMatrix0to1[21][12] = -0.773685445625653;
   fWeightMatrix0to1[22][12] = 2.27706924345744;
   fWeightMatrix0to1[23][12] = -1.03167822846549;
   fWeightMatrix0to1[24][12] = -0.662607908679742;
   fWeightMatrix0to1[25][12] = 2.87121017773374;
   fWeightMatrix0to1[26][12] = -0.35465066410725;
   fWeightMatrix0to1[27][12] = 0.451909892070235;
   fWeightMatrix0to1[28][12] = 0.286729166446718;
   fWeightMatrix0to1[0][13] = 25.6321599370985;
   fWeightMatrix0to1[1][13] = 2.15094491261187;
   fWeightMatrix0to1[2][13] = 1.43906033303884;
   fWeightMatrix0to1[3][13] = -5.35702953318301;
   fWeightMatrix0to1[4][13] = -3.59993046300243;
   fWeightMatrix0to1[5][13] = -46.6040872155974;
   fWeightMatrix0to1[6][13] = 1.205882592295;
   fWeightMatrix0to1[7][13] = 2.75431092721116;
   fWeightMatrix0to1[8][13] = -3.94525157061008;
   fWeightMatrix0to1[9][13] = 5.9368483865861;
   fWeightMatrix0to1[10][13] = 1.88869997062979;
   fWeightMatrix0to1[11][13] = 17.8509634345299;
   fWeightMatrix0to1[12][13] = -20.3094294457995;
   fWeightMatrix0to1[13][13] = 3.42755234089358;
   fWeightMatrix0to1[14][13] = 1.04723103385108;
   fWeightMatrix0to1[15][13] = -9.21813847819302;
   fWeightMatrix0to1[16][13] = 3.1376756605025;
   fWeightMatrix0to1[17][13] = -0.920719987184584;
   fWeightMatrix0to1[18][13] = 4.56704983032603;
   fWeightMatrix0to1[19][13] = 1.15261983561354;
   fWeightMatrix0to1[20][13] = 28.6296537296221;
   fWeightMatrix0to1[21][13] = 2.83014989599001;
   fWeightMatrix0to1[22][13] = -1.01015704835599;
   fWeightMatrix0to1[23][13] = 2.19590959560496;
   fWeightMatrix0to1[24][13] = 37.365867366552;
   fWeightMatrix0to1[25][13] = 0.618736604445914;
   fWeightMatrix0to1[26][13] = -13.2639823038096;
   fWeightMatrix0to1[27][13] = 1.92025273648086;
   fWeightMatrix0to1[28][13] = -42.0846997971999;
   fWeightMatrix0to1[0][14] = -6.01834437041335;
   fWeightMatrix0to1[1][14] = 2.31333604694401;
   fWeightMatrix0to1[2][14] = -0.0445664939685951;
   fWeightMatrix0to1[3][14] = 2.07707108243362;
   fWeightMatrix0to1[4][14] = 1.67083501349757;
   fWeightMatrix0to1[5][14] = 3.80220476616942;
   fWeightMatrix0to1[6][14] = 0.731330280395668;
   fWeightMatrix0to1[7][14] = -2.60056680300165;
   fWeightMatrix0to1[8][14] = 2.04885449996168;
   fWeightMatrix0to1[9][14] = -4.12597538327676;
   fWeightMatrix0to1[10][14] = 2.65821123845656;
   fWeightMatrix0to1[11][14] = -3.46102072913302;
   fWeightMatrix0to1[12][14] = 3.58096085963882;
   fWeightMatrix0to1[13][14] = -2.52966076243143;
   fWeightMatrix0to1[14][14] = 0.00900738081351682;
   fWeightMatrix0to1[15][14] = 3.59644413581732;
   fWeightMatrix0to1[16][14] = 1.1531758080148;
   fWeightMatrix0to1[17][14] = -1.74320709005455;
   fWeightMatrix0to1[18][14] = -3.02526933865336;
   fWeightMatrix0to1[19][14] = 0.51035053219551;
   fWeightMatrix0to1[20][14] = -9.79092534212908;
   fWeightMatrix0to1[21][14] = -3.41433063816812;
   fWeightMatrix0to1[22][14] = -1.96020607660983;
   fWeightMatrix0to1[23][14] = 1.16791597427576;
   fWeightMatrix0to1[24][14] = -5.51203977345045;
   fWeightMatrix0to1[25][14] = -2.42477637733131;
   fWeightMatrix0to1[26][14] = 0.316256357020162;
   fWeightMatrix0to1[27][14] = 0.129576939935175;
   fWeightMatrix0to1[28][14] = 9.40715295873888;
   fWeightMatrix0to1[0][15] = 1.98399152369704;
   fWeightMatrix0to1[1][15] = 1.82234574874298;
   fWeightMatrix0to1[2][15] = 0.167928979492817;
   fWeightMatrix0to1[3][15] = -2.40697442210989;
   fWeightMatrix0to1[4][15] = -0.273768562578651;
   fWeightMatrix0to1[5][15] = 4.99057497132231;
   fWeightMatrix0to1[6][15] = -1.27404504382503;
   fWeightMatrix0to1[7][15] = 0.237062725661032;
   fWeightMatrix0to1[8][15] = 0.15001765870686;
   fWeightMatrix0to1[9][15] = -0.283055784463806;
   fWeightMatrix0to1[10][15] = 2.48886320375303;
   fWeightMatrix0to1[11][15] = -0.014768895058343;
   fWeightMatrix0to1[12][15] = 2.81846121941953;
   fWeightMatrix0to1[13][15] = -0.686032090119896;
   fWeightMatrix0to1[14][15] = -0.49718238662551;
   fWeightMatrix0to1[15][15] = 2.09328913576649;
   fWeightMatrix0to1[16][15] = -0.141077909894381;
   fWeightMatrix0to1[17][15] = 0.407130210244099;
   fWeightMatrix0to1[18][15] = 1.07332652667729;
   fWeightMatrix0to1[19][15] = 2.52621905353902;
   fWeightMatrix0to1[20][15] = -3.45038699142394;
   fWeightMatrix0to1[21][15] = 1.89881915428556;
   fWeightMatrix0to1[22][15] = -2.46104113447043;
   fWeightMatrix0to1[23][15] = 2.01675616965794;
   fWeightMatrix0to1[24][15] = 1.73875846303758;
   fWeightMatrix0to1[25][15] = -0.530299047685678;
   fWeightMatrix0to1[26][15] = 1.98408393807678;
   fWeightMatrix0to1[27][15] = 0.464368511664431;
   fWeightMatrix0to1[28][15] = 2.06209338423308;
   fWeightMatrix0to1[0][16] = 0.995667210820539;
   fWeightMatrix0to1[1][16] = 0.866001802638574;
   fWeightMatrix0to1[2][16] = -0.0518900147126045;
   fWeightMatrix0to1[3][16] = -1.79208030871874;
   fWeightMatrix0to1[4][16] = -0.133670355147468;
   fWeightMatrix0to1[5][16] = 9.0626775511395;
   fWeightMatrix0to1[6][16] = 0.712962761885943;
   fWeightMatrix0to1[7][16] = 0.190070778724905;
   fWeightMatrix0to1[8][16] = -1.79992444743093;
   fWeightMatrix0to1[9][16] = 2.81499199848897;
   fWeightMatrix0to1[10][16] = 1.32925180837854;
   fWeightMatrix0to1[11][16] = -2.26587536226446;
   fWeightMatrix0to1[12][16] = 2.70378695860926;
   fWeightMatrix0to1[13][16] = -1.06403860166442;
   fWeightMatrix0to1[14][16] = 1.61848893194729;
   fWeightMatrix0to1[15][16] = 1.81983794431624;
   fWeightMatrix0to1[16][16] = -0.327247970386608;
   fWeightMatrix0to1[17][16] = -1.00045336806254;
   fWeightMatrix0to1[18][16] = 1.0969080600766;
   fWeightMatrix0to1[19][16] = 2.35286357073732;
   fWeightMatrix0to1[20][16] = -2.68227727821635;
   fWeightMatrix0to1[21][16] = 0.682485012360445;
   fWeightMatrix0to1[22][16] = -1.79846732249538;
   fWeightMatrix0to1[23][16] = -0.839792728365213;
   fWeightMatrix0to1[24][16] = 0.706202167781695;
   fWeightMatrix0to1[25][16] = 0.00723587976474678;
   fWeightMatrix0to1[26][16] = 2.87773653975205;
   fWeightMatrix0to1[27][16] = -1.49711625759646;
   fWeightMatrix0to1[28][16] = 1.55736802493925;
   fWeightMatrix0to1[0][17] = -5.82829843259071;
   fWeightMatrix0to1[1][17] = 0.252989663086758;
   fWeightMatrix0to1[2][17] = -1.19734658160886;
   fWeightMatrix0to1[3][17] = 0.487670983671384;
   fWeightMatrix0to1[4][17] = 0.212333437660579;
   fWeightMatrix0to1[5][17] = 16.8549853116412;
   fWeightMatrix0to1[6][17] = 0.629239538278898;
   fWeightMatrix0to1[7][17] = -1.58207375613369;
   fWeightMatrix0to1[8][17] = 2.10657830699213;
   fWeightMatrix0to1[9][17] = 0.965937895337875;
   fWeightMatrix0to1[10][17] = 2.10383388635338;
   fWeightMatrix0to1[11][17] = -4.23610426804481;
   fWeightMatrix0to1[12][17] = 3.93724771198422;
   fWeightMatrix0to1[13][17] = 1.84158142606062;
   fWeightMatrix0to1[14][17] = -1.29686584857582;
   fWeightMatrix0to1[15][17] = 0.879997256291387;
   fWeightMatrix0to1[16][17] = -1.59484549003693;
   fWeightMatrix0to1[17][17] = 1.36443704377975;
   fWeightMatrix0to1[18][17] = -1.67028405110681;
   fWeightMatrix0to1[19][17] = 1.44732700087835;
   fWeightMatrix0to1[20][17] = -6.92983178742881;
   fWeightMatrix0to1[21][17] = 1.10317900277271;
   fWeightMatrix0to1[22][17] = -1.08714435701163;
   fWeightMatrix0to1[23][17] = -0.462538879443331;
   fWeightMatrix0to1[24][17] = -5.34768027135308;
   fWeightMatrix0to1[25][17] = 0.0101013374107612;
   fWeightMatrix0to1[26][17] = 5.03976330315385;
   fWeightMatrix0to1[27][17] = 1.32817597317097;
   fWeightMatrix0to1[28][17] = 7.53084227208773;
   fWeightMatrix0to1[0][18] = -0.497107935138346;
   fWeightMatrix0to1[1][18] = -1.16134124325135;
   fWeightMatrix0to1[2][18] = 1.23600800843317;
   fWeightMatrix0to1[3][18] = 0.335807061636862;
   fWeightMatrix0to1[4][18] = 2.83183413785635;
   fWeightMatrix0to1[5][18] = 2.69224044462262;
   fWeightMatrix0to1[6][18] = 1.61314809793063;
   fWeightMatrix0to1[7][18] = -1.59372683796776;
   fWeightMatrix0to1[8][18] = -1.03685269822153;
   fWeightMatrix0to1[9][18] = -2.77395604185733;
   fWeightMatrix0to1[10][18] = -0.185044944367881;
   fWeightMatrix0to1[11][18] = -0.444124960498698;
   fWeightMatrix0to1[12][18] = -0.568857939873308;
   fWeightMatrix0to1[13][18] = -0.662144425586594;
   fWeightMatrix0to1[14][18] = -0.221221549671019;
   fWeightMatrix0to1[15][18] = -0.0755715030352791;
   fWeightMatrix0to1[16][18] = 0.39967207810621;
   fWeightMatrix0to1[17][18] = -1.94647037604144;
   fWeightMatrix0to1[18][18] = 0.0494246545863002;
   fWeightMatrix0to1[19][18] = -0.46529489827619;
   fWeightMatrix0to1[20][18] = -1.32682265112251;
   fWeightMatrix0to1[21][18] = -0.718130603263905;
   fWeightMatrix0to1[22][18] = 0.891807582214673;
   fWeightMatrix0to1[23][18] = -0.550817616095885;
   fWeightMatrix0to1[24][18] = -2.27275688302004;
   fWeightMatrix0to1[25][18] = -0.883985411775596;
   fWeightMatrix0to1[26][18] = 1.75095745913044;
   fWeightMatrix0to1[27][18] = -0.232020696911541;
   fWeightMatrix0to1[28][18] = 2.39796306239253;
   fWeightMatrix0to1[0][19] = 0.230430096711743;
   fWeightMatrix0to1[1][19] = -0.526420151838407;
   fWeightMatrix0to1[2][19] = -0.664950277947481;
   fWeightMatrix0to1[3][19] = -0.475447302459391;
   fWeightMatrix0to1[4][19] = -0.204027432478055;
   fWeightMatrix0to1[5][19] = -2.69288422027295;
   fWeightMatrix0to1[6][19] = -1.07294208618787;
   fWeightMatrix0to1[7][19] = 1.75848395343768;
   fWeightMatrix0to1[8][19] = -2.21145704760575;
   fWeightMatrix0to1[9][19] = 0.341349702697154;
   fWeightMatrix0to1[10][19] = 0.197200993748255;
   fWeightMatrix0to1[11][19] = 3.07348559271121;
   fWeightMatrix0to1[12][19] = 0.168642737209161;
   fWeightMatrix0to1[13][19] = 0.543755509859986;
   fWeightMatrix0to1[14][19] = 0.306921319458205;
   fWeightMatrix0to1[15][19] = -0.0225438666861197;
   fWeightMatrix0to1[16][19] = -0.937782063413221;
   fWeightMatrix0to1[17][19] = -1.31167910943237;
   fWeightMatrix0to1[18][19] = -0.274328984111253;
   fWeightMatrix0to1[19][19] = 0.751797769527064;
   fWeightMatrix0to1[20][19] = 1.38208720942793;
   fWeightMatrix0to1[21][19] = 0.556795920441857;
   fWeightMatrix0to1[22][19] = 1.80974580634639;
   fWeightMatrix0to1[23][19] = 0.401130406440176;
   fWeightMatrix0to1[24][19] = -0.805697882981719;
   fWeightMatrix0to1[25][19] = 0.913920811140843;
   fWeightMatrix0to1[26][19] = -1.91856630236574;
   fWeightMatrix0to1[27][19] = 1.01226186021156;
   fWeightMatrix0to1[28][19] = -2.25666442194372;
   fWeightMatrix0to1[0][20] = 9.00768294056264;
   fWeightMatrix0to1[1][20] = -0.429297477011864;
   fWeightMatrix0to1[2][20] = -1.23515006543229;
   fWeightMatrix0to1[3][20] = 1.00083222233248;
   fWeightMatrix0to1[4][20] = -2.36176245849141;
   fWeightMatrix0to1[5][20] = -3.08949788131549;
   fWeightMatrix0to1[6][20] = -1.07347764446842;
   fWeightMatrix0to1[7][20] = 3.29290175632259;
   fWeightMatrix0to1[8][20] = -3.8156986649556;
   fWeightMatrix0to1[9][20] = -0.0864971875928317;
   fWeightMatrix0to1[10][20] = -13.7658269813037;
   fWeightMatrix0to1[11][20] = 17.3616688922441;
   fWeightMatrix0to1[12][20] = 2.72694242645362;
   fWeightMatrix0to1[13][20] = 4.19067396487862;
   fWeightMatrix0to1[14][20] = -1.6588882501271;
   fWeightMatrix0to1[15][20] = -4.05066993310247;
   fWeightMatrix0to1[16][20] = 4.58786315057169;
   fWeightMatrix0to1[17][20] = -5.14079615368862;
   fWeightMatrix0to1[18][20] = 2.36555115493075;
   fWeightMatrix0to1[19][20] = -1.42067783510853;
   fWeightMatrix0to1[20][20] = 2.23960252736116;
   fWeightMatrix0to1[21][20] = 9.44661408206984;
   fWeightMatrix0to1[22][20] = -3.02827470743813;
   fWeightMatrix0to1[23][20] = -5.47026802726544;
   fWeightMatrix0to1[24][20] = 6.28266907859992;
   fWeightMatrix0to1[25][20] = -2.41762612763833;
   fWeightMatrix0to1[26][20] = 2.41642750705679;
   fWeightMatrix0to1[27][20] = -1.83129287959744;
   fWeightMatrix0to1[28][20] = -1.34186289868291;
   fWeightMatrix0to1[0][21] = -2.27670210910443;
   fWeightMatrix0to1[1][21] = 0.612682053178257;
   fWeightMatrix0to1[2][21] = 1.15342341372126;
   fWeightMatrix0to1[3][21] = 4.11353881908398;
   fWeightMatrix0to1[4][21] = -0.78423374457102;
   fWeightMatrix0to1[5][21] = 1.65960125713519;
   fWeightMatrix0to1[6][21] = 1.43323532183406;
   fWeightMatrix0to1[7][21] = 0.963240610965006;
   fWeightMatrix0to1[8][21] = 2.57296027789637;
   fWeightMatrix0to1[9][21] = -1.65330696468539;
   fWeightMatrix0to1[10][21] = -2.12157887346615;
   fWeightMatrix0to1[11][21] = 5.49695696280247;
   fWeightMatrix0to1[12][21] = 2.36296904369427;
   fWeightMatrix0to1[13][21] = 2.19382100419528;
   fWeightMatrix0to1[14][21] = 0.518861536687238;
   fWeightMatrix0to1[15][21] = -0.186352921847153;
   fWeightMatrix0to1[16][21] = -0.784295631688577;
   fWeightMatrix0to1[17][21] = -2.23398634927473;
   fWeightMatrix0to1[18][21] = 1.4863768658583;
   fWeightMatrix0to1[19][21] = -0.0176323733632879;
   fWeightMatrix0to1[20][21] = -1.89102482980787;
   fWeightMatrix0to1[21][21] = 0.923571199893109;
   fWeightMatrix0to1[22][21] = 0.129457726399768;
   fWeightMatrix0to1[23][21] = 0.518600691460154;
   fWeightMatrix0to1[24][21] = -4.12738655037269;
   fWeightMatrix0to1[25][21] = -0.55862369027901;
   fWeightMatrix0to1[26][21] = -1.17295786174403;
   fWeightMatrix0to1[27][21] = -0.418605422634853;
   fWeightMatrix0to1[28][21] = 3.99068086490768;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = 0.637928654881887;
   fWeightMatrix1to2[0][1] = -1.93294639920983;
   fWeightMatrix1to2[0][2] = 1.28085680174944;
   fWeightMatrix1to2[0][3] = -0.751190028009885;
   fWeightMatrix1to2[0][4] = -0.465082031134437;
   fWeightMatrix1to2[0][5] = -1.62786502427001;
   fWeightMatrix1to2[0][6] = -0.251039668054036;
   fWeightMatrix1to2[0][7] = 0.365264805110193;
   fWeightMatrix1to2[0][8] = -0.360676767971952;
   fWeightMatrix1to2[0][9] = 0.649033009649722;
   fWeightMatrix1to2[0][10] = -0.488326071292657;
   fWeightMatrix1to2[0][11] = 0.650888778177387;
   fWeightMatrix1to2[0][12] = -0.719950946034104;
   fWeightMatrix1to2[0][13] = 0.391557918962392;
   fWeightMatrix1to2[0][14] = -2.77840194637357;
   fWeightMatrix1to2[0][15] = -0.384617149707779;
   fWeightMatrix1to2[0][16] = 0.512958585998187;
   fWeightMatrix1to2[0][17] = -0.401192517919997;
   fWeightMatrix1to2[0][18] = 0.344982141556336;
   fWeightMatrix1to2[0][19] = -0.890547479917303;
   fWeightMatrix1to2[0][20] = 0.817852235611641;
   fWeightMatrix1to2[0][21] = 0.446353171509876;
   fWeightMatrix1to2[0][22] = -0.487936172188266;
   fWeightMatrix1to2[0][23] = 2.59944985682941;
   fWeightMatrix1to2[0][24] = 0.903090705822136;
   fWeightMatrix1to2[0][25] = 0.625188206394165;
   fWeightMatrix1to2[0][26] = -1.33478851171056;
   fWeightMatrix1to2[0][27] = -3.18058745296867;
   fWeightMatrix1to2[0][28] = -0.991302004157595;
   fWeightMatrix1to2[0][29] = 0.0896636562472355;
}

inline double ReadElectron_Upstream_TMVA::GetMvaValue__( const std::vector<double>& inputValues ) const
{
   if (inputValues.size() != (unsigned int)fLayerSize[0]-1) {
      std::cout << "Input vector needs to be of size " << fLayerSize[0]-1 << std::endl;
      return 0;
   }

   for (int l=0; l<fLayers; l++)
      for (int i=0; i<fLayerSize[l]; i++) fWeights[l][i]=0;

   for (int l=0; l<fLayers-1; l++)
      fWeights[l][fLayerSize[l]-1]=1;

   for (int i=0; i<fLayerSize[0]-1; i++)
      fWeights[0][i]=inputValues[i];

   // layer 0 to 1
   for (int o=0; o<fLayerSize[1]-1; o++) {
      for (int i=0; i<fLayerSize[0]; i++) {
         double inputVal = fWeightMatrix0to1[o][i] * fWeights[0][i];
         fWeights[1][o] += inputVal;
      }
      fWeights[1][o] = ActivationFnc(fWeights[1][o]);
   }
   // layer 1 to 2
   for (int o=0; o<fLayerSize[2]; o++) {
      for (int i=0; i<fLayerSize[1]; i++) {
         double inputVal = fWeightMatrix1to2[o][i] * fWeights[1][i];
         fWeights[2][o] += inputVal;
      }
      fWeights[2][o] = OutputActivationFnc(fWeights[2][o]);
   }

   return fWeights[2][0];
}

double ReadElectron_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadElectron_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadElectron_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadElectron_Upstream_TMVA::GetMvaValue( const std::vector<double>& inputValues ) const
   {
      // classifier response value
      double retval = 0;

      // classifier response, sanity check first
      if (!IsStatusClean()) {
         std::cout << "Problem in class \"" << fClassName << "\": cannot return classifier response"
                   << " because status is dirty" << std::endl;
         retval = 0;
      }
      else {
         if (IsNormalised()) {
            // normalise variables
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(NormVariable( *varIt, fVmin[ivar], fVmax[ivar] ));
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
         else {
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(*varIt);
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
      }

      return retval;
   }

//_______________________________________________________________________
inline void ReadElectron_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4970293.5;
   fMin_1[1][0] = 306.070007324;
   fMax_1[1][0] = 2027513.75;
   fMin_1[2][0] = 172.490005493;
   fMax_1[2][0] = 4970293.5;
   fMin_1[0][1] = 0.832938909531;
   fMax_1[0][1] = 995273.875;
   fMin_1[1][1] = 7.72294712067;
   fMax_1[1][1] = 107110.921875;
   fMin_1[2][1] = 0.832938909531;
   fMax_1[2][1] = 995273.875;
   fMin_1[0][2] = 0.00302399252541;
   fMax_1[0][2] = 2.999573946;
   fMin_1[1][2] = 0.0204406045377;
   fMax_1[1][2] = 2.99342513084;
   fMin_1[2][2] = 0.00302399252541;
   fMax_1[2][2] = 2.999573946;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 28;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 25;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 28;
   fMin_1[0][4] = -99.6241531372;
   fMax_1[0][4] = -0.319228202105;
   fMin_1[1][4] = -45.5855255127;
   fMax_1[1][4] = -0.36918053031;
   fMin_1[2][4] = -99.6241531372;
   fMax_1[2][4] = -0.319228202105;
   fMin_1[0][5] = 0.0317582078278;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0619621761143;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0317582078278;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = -999;
   fMax_1[0][6] = 4999.73632812;
   fMin_1[1][6] = -999;
   fMax_1[1][6] = 4995.34619141;
   fMin_1[2][6] = -999;
   fMax_1[2][6] = 4999.73632812;
   fMin_1[0][7] = 2.50487555604e-05;
   fMax_1[0][7] = 50.0615081787;
   fMin_1[1][7] = 0.000161014046171;
   fMax_1[1][7] = 51.0802001953;
   fMin_1[2][7] = 2.50487555604e-05;
   fMax_1[2][7] = 51.0802001953;
   fMin_1[0][8] = 1;
   fMax_1[0][8] = 24;
   fMin_1[1][8] = 1;
   fMax_1[1][8] = 22;
   fMin_1[2][8] = 1;
   fMax_1[2][8] = 24;
   fMin_1[0][9] = 0;
   fMax_1[0][9] = 1;
   fMin_1[1][9] = 0;
   fMax_1[1][9] = 1;
   fMin_1[2][9] = 0;
   fMax_1[2][9] = 1;
   fMin_1[0][10] = 0;
   fMax_1[0][10] = 1;
   fMin_1[1][10] = 0;
   fMax_1[1][10] = 1;
   fMin_1[2][10] = 0;
   fMax_1[2][10] = 1;
   fMin_1[0][11] = 0;
   fMax_1[0][11] = 1;
   fMin_1[1][11] = 0;
   fMax_1[1][11] = 1;
   fMin_1[2][11] = 0;
   fMax_1[2][11] = 1;
   fMin_1[0][12] = 0;
   fMax_1[0][12] = 1;
   fMin_1[1][12] = 0;
   fMax_1[1][12] = 1;
   fMin_1[2][12] = 0;
   fMax_1[2][12] = 1;
   fMin_1[0][13] = -999;
   fMax_1[0][13] = 89.5529022217;
   fMin_1[1][13] = -999;
   fMax_1[1][13] = 107.511299133;
   fMin_1[2][13] = -999;
   fMax_1[2][13] = 107.511299133;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 69.573600769;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 44.6925010681;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 69.573600769;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 99.5278015137;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 29.4733009338;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 99.5278015137;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 62.6166000366;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 29.5107002258;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 62.6166000366;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 47.8530006409;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 32.1589012146;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 47.8530006409;
   fMin_1[0][18] = 0;
   fMax_1[0][18] = 1;
   fMin_1[1][18] = 0;
   fMax_1[1][18] = 1;
   fMin_1[2][18] = 0;
   fMax_1[2][18] = 1;
   fMin_1[0][19] = -999;
   fMax_1[0][19] = 4.79148387909;
   fMin_1[1][19] = -999;
   fMax_1[1][19] = 4.79148387909;
   fMin_1[2][19] = -999;
   fMax_1[2][19] = 4.79148387909;
   fMin_1[0][20] = 0.486891388893;
   fMax_1[0][20] = 5.4943819046;
   fMin_1[1][20] = 0.573033690453;
   fMax_1[1][20] = 2.93539333344;
   fMin_1[2][20] = 0.486891388893;
   fMax_1[2][20] = 5.4943819046;
}

//_______________________________________________________________________
inline void ReadElectron_Upstream_TMVA::Transform_1( std::vector<double>& iv, int cls) const
{
   // Normalization transformation
   if (cls < 0 || cls > 2) {
   if (2 > 1 ) cls = 2;
      else cls = 2;
   }
   const int nVar = 21;

   // get indices of used variables

   // define the indices of the variables which are transformed by this transformation
   std::vector<int> indicesGet;
   std::vector<int> indicesPut;

   indicesGet.push_back( 0);
   indicesGet.push_back( 1);
   indicesGet.push_back( 2);
   indicesGet.push_back( 3);
   indicesGet.push_back( 4);
   indicesGet.push_back( 5);
   indicesGet.push_back( 6);
   indicesGet.push_back( 7);
   indicesGet.push_back( 8);
   indicesGet.push_back( 9);
   indicesGet.push_back( 10);
   indicesGet.push_back( 11);
   indicesGet.push_back( 12);
   indicesGet.push_back( 13);
   indicesGet.push_back( 14);
   indicesGet.push_back( 15);
   indicesGet.push_back( 16);
   indicesGet.push_back( 17);
   indicesGet.push_back( 18);
   indicesGet.push_back( 19);
   indicesGet.push_back( 20);
   indicesPut.push_back( 0);
   indicesPut.push_back( 1);
   indicesPut.push_back( 2);
   indicesPut.push_back( 3);
   indicesPut.push_back( 4);
   indicesPut.push_back( 5);
   indicesPut.push_back( 6);
   indicesPut.push_back( 7);
   indicesPut.push_back( 8);
   indicesPut.push_back( 9);
   indicesPut.push_back( 10);
   indicesPut.push_back( 11);
   indicesPut.push_back( 12);
   indicesPut.push_back( 13);
   indicesPut.push_back( 14);
   indicesPut.push_back( 15);
   indicesPut.push_back( 16);
   indicesPut.push_back( 17);
   indicesPut.push_back( 18);
   indicesPut.push_back( 19);
   indicesPut.push_back( 20);

   std::vector<double> dv(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<21;ivar++) {
      double offset = fMin_1[cls][ivar];
      double scale  = 1.0/(fMax_1[cls][ivar]-fMin_1[cls][ivar]);
      iv[indicesPut.at(ivar)] = (dv[ivar]-offset)*scale * 2 - 1;
   }
}

//_______________________________________________________________________
inline void ReadElectron_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

//_______________________________________________________________________
inline void ReadElectron_Upstream_TMVA::Transform( std::vector<double>& iv, int sigOrBgd ) const
{
   Transform_1( iv, sigOrBgd );
}