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

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

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

Method         : MLP::Proton_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Thu Apr 11 05:32:57 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/ScaleF1.2/BP/NCycles750/CE/tanh/Proton/Upstream
Training events: 1000000
Analysis type  : [Classification]


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

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "26" [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 22
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]
RichAbovePiThres              RichAbovePiThres              RichAbovePiThres              RichAbovePiThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichAbovePrThres              RichAbovePrThres              RichAbovePrThres              RichAbovePrThres                                                '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 ReadProton_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadProton_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadProton_Upstream_TMVA" ),
        fNvars( 22 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackCloneDist", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAbovePiThres", "RichAboveKaThres", "RichAbovePrThres", "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;
      fVmin[21] = -1;
      fVmax[21] = 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] = 'I';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'F';
      fType[18] = 'F';
      fType[19] = 'I';
      fType[20] = 'F';
      fType[21] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadProton_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][22];
   double fMax_1[3][22];
   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[22];
   double fVmax[22];
   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[22];

   // 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[27][23];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][27];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadProton_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 23; fWeights[0] = new double[23]; 
   fLayerSize[1] = 27; fWeights[1] = new double[27]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = -0.55758714234901;
   fWeightMatrix0to1[1][0] = 2.37576054533249;
   fWeightMatrix0to1[2][0] = 1.18758804100385;
   fWeightMatrix0to1[3][0] = 5.14982282463625;
   fWeightMatrix0to1[4][0] = -2.08013599686921;
   fWeightMatrix0to1[5][0] = -2.79889917626675;
   fWeightMatrix0to1[6][0] = -2.98426162700294;
   fWeightMatrix0to1[7][0] = 2.90378459224543;
   fWeightMatrix0to1[8][0] = -1.6504695937444;
   fWeightMatrix0to1[9][0] = 0.258630583477514;
   fWeightMatrix0to1[10][0] = 1.38422634456637;
   fWeightMatrix0to1[11][0] = 7.75116789062796;
   fWeightMatrix0to1[12][0] = -1.26492648197404;
   fWeightMatrix0to1[13][0] = 3.3877679200987;
   fWeightMatrix0to1[14][0] = -0.0188662846257798;
   fWeightMatrix0to1[15][0] = 1.50059301767309;
   fWeightMatrix0to1[16][0] = -1.45501008042085;
   fWeightMatrix0to1[17][0] = -0.0949599401440345;
   fWeightMatrix0to1[18][0] = 2.90316350649793;
   fWeightMatrix0to1[19][0] = 6.42273970536767;
   fWeightMatrix0to1[20][0] = -0.242926362340559;
   fWeightMatrix0to1[21][0] = 0.428886989399257;
   fWeightMatrix0to1[22][0] = 1.10965793628995;
   fWeightMatrix0to1[23][0] = -0.206361263870316;
   fWeightMatrix0to1[24][0] = -2.25081991535921;
   fWeightMatrix0to1[25][0] = -0.233268225769164;
   fWeightMatrix0to1[0][1] = 1.15100939685929;
   fWeightMatrix0to1[1][1] = -0.772237783332798;
   fWeightMatrix0to1[2][1] = -0.39770315340225;
   fWeightMatrix0to1[3][1] = -0.938936985312055;
   fWeightMatrix0to1[4][1] = 1.07589238489398;
   fWeightMatrix0to1[5][1] = 1.80042776025337;
   fWeightMatrix0to1[6][1] = 0.489709262703863;
   fWeightMatrix0to1[7][1] = -0.994672090117759;
   fWeightMatrix0to1[8][1] = 0.596847048658619;
   fWeightMatrix0to1[9][1] = -0.324394292921921;
   fWeightMatrix0to1[10][1] = 1.45260098554874;
   fWeightMatrix0to1[11][1] = 1.89470381412742;
   fWeightMatrix0to1[12][1] = -1.55002859667534;
   fWeightMatrix0to1[13][1] = 2.35303687246104;
   fWeightMatrix0to1[14][1] = 2.06449303350958;
   fWeightMatrix0to1[15][1] = 0.660189669938298;
   fWeightMatrix0to1[16][1] = 0.661287738134704;
   fWeightMatrix0to1[17][1] = -1.2751032369765;
   fWeightMatrix0to1[18][1] = -0.839235419119543;
   fWeightMatrix0to1[19][1] = -1.68939900935024;
   fWeightMatrix0to1[20][1] = 0.700080164129256;
   fWeightMatrix0to1[21][1] = 1.2063082343645;
   fWeightMatrix0to1[22][1] = 1.75064626375076;
   fWeightMatrix0to1[23][1] = 1.05137481798629;
   fWeightMatrix0to1[24][1] = 1.28683831048996;
   fWeightMatrix0to1[25][1] = 1.30942990022717;
   fWeightMatrix0to1[0][2] = -0.719615476821786;
   fWeightMatrix0to1[1][2] = 0.20397518777077;
   fWeightMatrix0to1[2][2] = -1.25979005054041;
   fWeightMatrix0to1[3][2] = -0.152235588632684;
   fWeightMatrix0to1[4][2] = 0.68223261221278;
   fWeightMatrix0to1[5][2] = -2.00666817520788;
   fWeightMatrix0to1[6][2] = 0.603603824440256;
   fWeightMatrix0to1[7][2] = 0.392326997954647;
   fWeightMatrix0to1[8][2] = -0.356041476301349;
   fWeightMatrix0to1[9][2] = 0.838809503495333;
   fWeightMatrix0to1[10][2] = 0.170753413609443;
   fWeightMatrix0to1[11][2] = -0.286357552733831;
   fWeightMatrix0to1[12][2] = -0.445848290074902;
   fWeightMatrix0to1[13][2] = -0.525430748429599;
   fWeightMatrix0to1[14][2] = -0.654202586796756;
   fWeightMatrix0to1[15][2] = 4.13153070571295;
   fWeightMatrix0to1[16][2] = 0.264906730983486;
   fWeightMatrix0to1[17][2] = 0.0669118983156542;
   fWeightMatrix0to1[18][2] = 1.39707756373158;
   fWeightMatrix0to1[19][2] = 0.315785145564729;
   fWeightMatrix0to1[20][2] = 0.68422334594325;
   fWeightMatrix0to1[21][2] = 0.333811369598845;
   fWeightMatrix0to1[22][2] = 0.630462511804372;
   fWeightMatrix0to1[23][2] = -0.276248964967218;
   fWeightMatrix0to1[24][2] = -2.10767173831259;
   fWeightMatrix0to1[25][2] = -1.86907759481307;
   fWeightMatrix0to1[0][3] = 0.584571982279205;
   fWeightMatrix0to1[1][3] = -0.159899874719471;
   fWeightMatrix0to1[2][3] = 0.0294250556424717;
   fWeightMatrix0to1[3][3] = -2.08189286206583;
   fWeightMatrix0to1[4][3] = 2.21671466601482;
   fWeightMatrix0to1[5][3] = -1.68047877933716;
   fWeightMatrix0to1[6][3] = -14.8288554356732;
   fWeightMatrix0to1[7][3] = 0.0633519335636;
   fWeightMatrix0to1[8][3] = -0.251379000003669;
   fWeightMatrix0to1[9][3] = -0.451265351008507;
   fWeightMatrix0to1[10][3] = -2.80315819968829;
   fWeightMatrix0to1[11][3] = 4.22986619075529;
   fWeightMatrix0to1[12][3] = -1.09204171250489;
   fWeightMatrix0to1[13][3] = 0.922605262487186;
   fWeightMatrix0to1[14][3] = 0.734615890048561;
   fWeightMatrix0to1[15][3] = -1.59289658510995;
   fWeightMatrix0to1[16][3] = -1.16461672990746;
   fWeightMatrix0to1[17][3] = 1.70336659205042;
   fWeightMatrix0to1[18][3] = 2.78530611656587;
   fWeightMatrix0to1[19][3] = 0.49431758446429;
   fWeightMatrix0to1[20][3] = -1.27230977583001;
   fWeightMatrix0to1[21][3] = 1.84272454436572;
   fWeightMatrix0to1[22][3] = -2.03159357437054;
   fWeightMatrix0to1[23][3] = -0.804604953759099;
   fWeightMatrix0to1[24][3] = 0.796741913574872;
   fWeightMatrix0to1[25][3] = 1.64380493103631;
   fWeightMatrix0to1[0][4] = -10.6860178123136;
   fWeightMatrix0to1[1][4] = 0.487536544609038;
   fWeightMatrix0to1[2][4] = -0.303550575938954;
   fWeightMatrix0to1[3][4] = 0.456775535207171;
   fWeightMatrix0to1[4][4] = 0.697442508803396;
   fWeightMatrix0to1[5][4] = -1.65964276733883;
   fWeightMatrix0to1[6][4] = -5.28267081360887;
   fWeightMatrix0to1[7][4] = 1.35976545641401;
   fWeightMatrix0to1[8][4] = -0.359929079493426;
   fWeightMatrix0to1[9][4] = 0.0640953121840182;
   fWeightMatrix0to1[10][4] = -2.54481880755417;
   fWeightMatrix0to1[11][4] = 3.00301156061859;
   fWeightMatrix0to1[12][4] = 0.323026788854178;
   fWeightMatrix0to1[13][4] = -0.610923236848776;
   fWeightMatrix0to1[14][4] = -1.95953582158654;
   fWeightMatrix0to1[15][4] = -0.88463625156443;
   fWeightMatrix0to1[16][4] = 0.408839240977821;
   fWeightMatrix0to1[17][4] = 9.83462051009038;
   fWeightMatrix0to1[18][4] = 5.37459238424219;
   fWeightMatrix0to1[19][4] = 8.57797571053831;
   fWeightMatrix0to1[20][4] = 2.17955675708919;
   fWeightMatrix0to1[21][4] = 1.84751150858487;
   fWeightMatrix0to1[22][4] = 0.0725189877825163;
   fWeightMatrix0to1[23][4] = 0.201455367349689;
   fWeightMatrix0to1[24][4] = -0.827203485238098;
   fWeightMatrix0to1[25][4] = 1.06667218162822;
   fWeightMatrix0to1[0][5] = 0.234325393538547;
   fWeightMatrix0to1[1][5] = -0.56171948524666;
   fWeightMatrix0to1[2][5] = 0.9640615553508;
   fWeightMatrix0to1[3][5] = 0.212586797182316;
   fWeightMatrix0to1[4][5] = -1.03833200230176;
   fWeightMatrix0to1[5][5] = 0.0890284007139611;
   fWeightMatrix0to1[6][5] = -0.884766754689162;
   fWeightMatrix0to1[7][5] = 0.0219426336155279;
   fWeightMatrix0to1[8][5] = 0.352041035183542;
   fWeightMatrix0to1[9][5] = 0.471706374541224;
   fWeightMatrix0to1[10][5] = 0.135642155990109;
   fWeightMatrix0to1[11][5] = -0.547276819844429;
   fWeightMatrix0to1[12][5] = 0.265010558905023;
   fWeightMatrix0to1[13][5] = 0.00924731166689534;
   fWeightMatrix0to1[14][5] = 0.197858434304059;
   fWeightMatrix0to1[15][5] = -0.00610366230617477;
   fWeightMatrix0to1[16][5] = -0.175145372875576;
   fWeightMatrix0to1[17][5] = 0.429615791341646;
   fWeightMatrix0to1[18][5] = -0.601449528633752;
   fWeightMatrix0to1[19][5] = 0.186229700014554;
   fWeightMatrix0to1[20][5] = 0.143249589106026;
   fWeightMatrix0to1[21][5] = -0.2133384019492;
   fWeightMatrix0to1[22][5] = 1.70566444167578;
   fWeightMatrix0to1[23][5] = 0.0816123577965218;
   fWeightMatrix0to1[24][5] = -2.1146971222167;
   fWeightMatrix0to1[25][5] = 0.271983935415309;
   fWeightMatrix0to1[0][6] = -0.708718040384754;
   fWeightMatrix0to1[1][6] = 0.945429845395464;
   fWeightMatrix0to1[2][6] = -0.571651204298061;
   fWeightMatrix0to1[3][6] = -4.92948454651941;
   fWeightMatrix0to1[4][6] = 1.41127426287127;
   fWeightMatrix0to1[5][6] = 2.24627222797336;
   fWeightMatrix0to1[6][6] = 0.522911951600893;
   fWeightMatrix0to1[7][6] = -2.00644655194279;
   fWeightMatrix0to1[8][6] = 1.99808810890425;
   fWeightMatrix0to1[9][6] = 0.618048171489727;
   fWeightMatrix0to1[10][6] = 7.40548890975139;
   fWeightMatrix0to1[11][6] = -0.869971567375776;
   fWeightMatrix0to1[12][6] = -1.12363088807774;
   fWeightMatrix0to1[13][6] = 0.698805673595247;
   fWeightMatrix0to1[14][6] = 0.481500965933195;
   fWeightMatrix0to1[15][6] = -1.72849723943215;
   fWeightMatrix0to1[16][6] = -0.253624562324988;
   fWeightMatrix0to1[17][6] = 0.0274318306974506;
   fWeightMatrix0to1[18][6] = 1.76822902649579;
   fWeightMatrix0to1[19][6] = -4.43823739728264;
   fWeightMatrix0to1[20][6] = 0.905107248368464;
   fWeightMatrix0to1[21][6] = 0.146154685958022;
   fWeightMatrix0to1[22][6] = 1.07393158008625;
   fWeightMatrix0to1[23][6] = -2.16558718246046;
   fWeightMatrix0to1[24][6] = 0.0262450761446896;
   fWeightMatrix0to1[25][6] = 1.16343026077836;
   fWeightMatrix0to1[0][7] = 0.74607598112695;
   fWeightMatrix0to1[1][7] = -1.81645798574315;
   fWeightMatrix0to1[2][7] = -0.711263920176256;
   fWeightMatrix0to1[3][7] = 1.55898515872772;
   fWeightMatrix0to1[4][7] = 0.0790176086820385;
   fWeightMatrix0to1[5][7] = 2.17083952432119;
   fWeightMatrix0to1[6][7] = 0.628782835558997;
   fWeightMatrix0to1[7][7] = 0.0576034435409535;
   fWeightMatrix0to1[8][7] = -0.883880739129428;
   fWeightMatrix0to1[9][7] = -1.27474174502234;
   fWeightMatrix0to1[10][7] = -1.03716469920372;
   fWeightMatrix0to1[11][7] = 0.441630995097436;
   fWeightMatrix0to1[12][7] = 1.60164349495113;
   fWeightMatrix0to1[13][7] = 0.242964340088138;
   fWeightMatrix0to1[14][7] = 1.47655577999535;
   fWeightMatrix0to1[15][7] = 3.40829901471085;
   fWeightMatrix0to1[16][7] = -0.471696288967357;
   fWeightMatrix0to1[17][7] = -0.362191173405004;
   fWeightMatrix0to1[18][7] = -3.94328720741834;
   fWeightMatrix0to1[19][7] = 3.32860275623554;
   fWeightMatrix0to1[20][7] = -0.130410703592801;
   fWeightMatrix0to1[21][7] = -0.251587865002949;
   fWeightMatrix0to1[22][7] = 1.13149237304075;
   fWeightMatrix0to1[23][7] = 0.353370402191358;
   fWeightMatrix0to1[24][7] = 2.46906357972294;
   fWeightMatrix0to1[25][7] = -0.12935458275566;
   fWeightMatrix0to1[0][8] = 1.15284801592255;
   fWeightMatrix0to1[1][8] = 0.881336213844678;
   fWeightMatrix0to1[2][8] = -0.388497226349466;
   fWeightMatrix0to1[3][8] = 1.22441600492398;
   fWeightMatrix0to1[4][8] = -3.07593962791289;
   fWeightMatrix0to1[5][8] = -1.63180729048943;
   fWeightMatrix0to1[6][8] = 11.7911762070703;
   fWeightMatrix0to1[7][8] = 0.962197986816979;
   fWeightMatrix0to1[8][8] = -0.211210594649276;
   fWeightMatrix0to1[9][8] = 0.498190094400473;
   fWeightMatrix0to1[10][8] = 2.49299743075396;
   fWeightMatrix0to1[11][8] = -5.3040881337463;
   fWeightMatrix0to1[12][8] = -2.08176750829582;
   fWeightMatrix0to1[13][8] = -0.80971453036187;
   fWeightMatrix0to1[14][8] = -2.38362668921099;
   fWeightMatrix0to1[15][8] = -0.513071532571418;
   fWeightMatrix0to1[16][8] = 1.83432972128824;
   fWeightMatrix0to1[17][8] = -0.124563462923204;
   fWeightMatrix0to1[18][8] = 2.79188690053078;
   fWeightMatrix0to1[19][8] = -1.92965813918219;
   fWeightMatrix0to1[20][8] = -1.20612030863533;
   fWeightMatrix0to1[21][8] = -0.718739542308068;
   fWeightMatrix0to1[22][8] = 1.66862986539254;
   fWeightMatrix0to1[23][8] = 0.836948846020807;
   fWeightMatrix0to1[24][8] = 0.635726333808539;
   fWeightMatrix0to1[25][8] = -1.19261041153065;
   fWeightMatrix0to1[0][9] = 3.6506386214082;
   fWeightMatrix0to1[1][9] = -2.04087032400175;
   fWeightMatrix0to1[2][9] = 0.682400252212739;
   fWeightMatrix0to1[3][9] = 0.377792804892238;
   fWeightMatrix0to1[4][9] = 0.209610688514701;
   fWeightMatrix0to1[5][9] = -1.57756339780859;
   fWeightMatrix0to1[6][9] = -0.0785071705771873;
   fWeightMatrix0to1[7][9] = 0.568577297630207;
   fWeightMatrix0to1[8][9] = -1.07824679729373;
   fWeightMatrix0to1[9][9] = -3.28477553386798;
   fWeightMatrix0to1[10][9] = -4.17300300095067;
   fWeightMatrix0to1[11][9] = -0.0594673961087924;
   fWeightMatrix0to1[12][9] = -1.49199097982495;
   fWeightMatrix0to1[13][9] = -2.93782145957764;
   fWeightMatrix0to1[14][9] = 2.82339573913446;
   fWeightMatrix0to1[15][9] = -1.31663248842755;
   fWeightMatrix0to1[16][9] = 0.393029230244257;
   fWeightMatrix0to1[17][9] = -4.59590046590933;
   fWeightMatrix0to1[18][9] = -2.72456073318598;
   fWeightMatrix0to1[19][9] = 1.61250040260897;
   fWeightMatrix0to1[20][9] = 0.183348208047065;
   fWeightMatrix0to1[21][9] = -2.97584626641073;
   fWeightMatrix0to1[22][9] = -0.934091895774739;
   fWeightMatrix0to1[23][9] = -0.0298629026216115;
   fWeightMatrix0to1[24][9] = -2.83418090701822;
   fWeightMatrix0to1[25][9] = -1.64096838991359;
   fWeightMatrix0to1[0][10] = 1.18882780093944;
   fWeightMatrix0to1[1][10] = 0.403229496153558;
   fWeightMatrix0to1[2][10] = 0.531096868705765;
   fWeightMatrix0to1[3][10] = -4.88730525563784;
   fWeightMatrix0to1[4][10] = -1.84175666724574;
   fWeightMatrix0to1[5][10] = -0.803458629789094;
   fWeightMatrix0to1[6][10] = -1.45566730015285;
   fWeightMatrix0to1[7][10] = 8.54202434145971;
   fWeightMatrix0to1[8][10] = 1.40964641302403;
   fWeightMatrix0to1[9][10] = 0.0191507505155124;
   fWeightMatrix0to1[10][10] = 0.275333592485963;
   fWeightMatrix0to1[11][10] = -5.0189422936712;
   fWeightMatrix0to1[12][10] = 1.53062403037856;
   fWeightMatrix0to1[13][10] = -3.09430063150142;
   fWeightMatrix0to1[14][10] = -0.941754851806136;
   fWeightMatrix0to1[15][10] = -0.999189851743341;
   fWeightMatrix0to1[16][10] = 0.291460537652645;
   fWeightMatrix0to1[17][10] = -1.03508434798149;
   fWeightMatrix0to1[18][10] = 2.07900176298683;
   fWeightMatrix0to1[19][10] = 0.733281716794238;
   fWeightMatrix0to1[20][10] = -1.32143061054911;
   fWeightMatrix0to1[21][10] = -1.51684337400435;
   fWeightMatrix0to1[22][10] = -1.71085516277814;
   fWeightMatrix0to1[23][10] = 0.0959112777483932;
   fWeightMatrix0to1[24][10] = -2.21024140440823;
   fWeightMatrix0to1[25][10] = -1.37823282504536;
   fWeightMatrix0to1[0][11] = -3.12145805665677;
   fWeightMatrix0to1[1][11] = 1.73477115926618;
   fWeightMatrix0to1[2][11] = -2.00623726366397;
   fWeightMatrix0to1[3][11] = -0.347577334247589;
   fWeightMatrix0to1[4][11] = 0.413228437956859;
   fWeightMatrix0to1[5][11] = -0.103467420728751;
   fWeightMatrix0to1[6][11] = -0.0760308795607389;
   fWeightMatrix0to1[7][11] = 7.81054546427114;
   fWeightMatrix0to1[8][11] = 0.630445939638621;
   fWeightMatrix0to1[9][11] = -2.7197976943221;
   fWeightMatrix0to1[10][11] = 4.58671255985119;
   fWeightMatrix0to1[11][11] = -5.19951782151154;
   fWeightMatrix0to1[12][11] = -1.56661736651196;
   fWeightMatrix0to1[13][11] = -4.68226060719312;
   fWeightMatrix0to1[14][11] = -2.40390167794453;
   fWeightMatrix0to1[15][11] = -1.30549426501688;
   fWeightMatrix0to1[16][11] = -0.318181096963376;
   fWeightMatrix0to1[17][11] = -2.58087729513576;
   fWeightMatrix0to1[18][11] = -0.761253672322862;
   fWeightMatrix0to1[19][11] = -0.701919959390902;
   fWeightMatrix0to1[20][11] = -2.73322932719062;
   fWeightMatrix0to1[21][11] = -3.60469919769144;
   fWeightMatrix0to1[22][11] = -1.07575587466637;
   fWeightMatrix0to1[23][11] = 0.00118822592834885;
   fWeightMatrix0to1[24][11] = -1.90515614138667;
   fWeightMatrix0to1[25][11] = -1.35965645883601;
   fWeightMatrix0to1[0][12] = 0.171435595685513;
   fWeightMatrix0to1[1][12] = 2.30258752535293;
   fWeightMatrix0to1[2][12] = 1.25233793339063;
   fWeightMatrix0to1[3][12] = 0.884470376983614;
   fWeightMatrix0to1[4][12] = 0.0978970141435553;
   fWeightMatrix0to1[5][12] = -3.07632205165628;
   fWeightMatrix0to1[6][12] = -0.0565142656534301;
   fWeightMatrix0to1[7][12] = 7.07113772647607;
   fWeightMatrix0to1[8][12] = -0.238498637866043;
   fWeightMatrix0to1[9][12] = -0.602833932954706;
   fWeightMatrix0to1[10][12] = -2.46103777473032;
   fWeightMatrix0to1[11][12] = -6.91726842578292;
   fWeightMatrix0to1[12][12] = 0.422261658220692;
   fWeightMatrix0to1[13][12] = -0.228093460119692;
   fWeightMatrix0to1[14][12] = 0.0464847572909564;
   fWeightMatrix0to1[15][12] = 1.09589210448707;
   fWeightMatrix0to1[16][12] = -0.0583179416718331;
   fWeightMatrix0to1[17][12] = 0.416638762711734;
   fWeightMatrix0to1[18][12] = -4.9910305608919;
   fWeightMatrix0to1[19][12] = -0.422511115633395;
   fWeightMatrix0to1[20][12] = -0.0757582855184566;
   fWeightMatrix0to1[21][12] = -5.65945019110913;
   fWeightMatrix0to1[22][12] = -0.132370072321488;
   fWeightMatrix0to1[23][12] = -0.151824634839934;
   fWeightMatrix0to1[24][12] = -0.0723746845028618;
   fWeightMatrix0to1[25][12] = 1.04433158343626;
   fWeightMatrix0to1[0][13] = -3.91710044533451;
   fWeightMatrix0to1[1][13] = 0.38853156423779;
   fWeightMatrix0to1[2][13] = 0.760436328625525;
   fWeightMatrix0to1[3][13] = -0.822908517884796;
   fWeightMatrix0to1[4][13] = 0.215135310242809;
   fWeightMatrix0to1[5][13] = -1.08834489930605;
   fWeightMatrix0to1[6][13] = 0.101000033746663;
   fWeightMatrix0to1[7][13] = -0.785634005981534;
   fWeightMatrix0to1[8][13] = -0.252138819403345;
   fWeightMatrix0to1[9][13] = -0.214865427625299;
   fWeightMatrix0to1[10][13] = -0.522451871844542;
   fWeightMatrix0to1[11][13] = -5.9244932096865;
   fWeightMatrix0to1[12][13] = 0.688340733395381;
   fWeightMatrix0to1[13][13] = 2.88837982530503;
   fWeightMatrix0to1[14][13] = -0.687093924674328;
   fWeightMatrix0to1[15][13] = -0.498412176840688;
   fWeightMatrix0to1[16][13] = -0.421693530893731;
   fWeightMatrix0to1[17][13] = -1.52712262499378;
   fWeightMatrix0to1[18][13] = -2.29092739743205;
   fWeightMatrix0to1[19][13] = 0.263498879591963;
   fWeightMatrix0to1[20][13] = -0.809833710692681;
   fWeightMatrix0to1[21][13] = -0.666928938956947;
   fWeightMatrix0to1[22][13] = 0.448607132186918;
   fWeightMatrix0to1[23][13] = -0.103174527764998;
   fWeightMatrix0to1[24][13] = -0.848118101520245;
   fWeightMatrix0to1[25][13] = -1.62550664052725;
   fWeightMatrix0to1[0][14] = 9.32078725536279;
   fWeightMatrix0to1[1][14] = -0.36682151965358;
   fWeightMatrix0to1[2][14] = -2.8038442786599;
   fWeightMatrix0to1[3][14] = -3.05714763285778;
   fWeightMatrix0to1[4][14] = -1.07941486820033;
   fWeightMatrix0to1[5][14] = 0.297472659774001;
   fWeightMatrix0to1[6][14] = 12.1467977791887;
   fWeightMatrix0to1[7][14] = -5.40876746160359;
   fWeightMatrix0to1[8][14] = -1.06605970243457;
   fWeightMatrix0to1[9][14] = 2.8084873179674;
   fWeightMatrix0to1[10][14] = 6.90122218524215;
   fWeightMatrix0to1[11][14] = 4.75212323641824;
   fWeightMatrix0to1[12][14] = 0.00640929887213694;
   fWeightMatrix0to1[13][14] = 4.36319947277652;
   fWeightMatrix0to1[14][14] = 2.39485398291269;
   fWeightMatrix0to1[15][14] = -0.176145647618089;
   fWeightMatrix0to1[16][14] = 27.7745136526437;
   fWeightMatrix0to1[17][14] = -5.12115154562781;
   fWeightMatrix0to1[18][14] = -8.41769585526347;
   fWeightMatrix0to1[19][14] = 1.73576866114988;
   fWeightMatrix0to1[20][14] = 0.903925404763654;
   fWeightMatrix0to1[21][14] = -1.88809315286211;
   fWeightMatrix0to1[22][14] = 0.912401735913795;
   fWeightMatrix0to1[23][14] = 1.84573543648491;
   fWeightMatrix0to1[24][14] = 1.23644304396817;
   fWeightMatrix0to1[25][14] = -1.33153239282971;
   fWeightMatrix0to1[0][15] = 3.72086341488094;
   fWeightMatrix0to1[1][15] = 0.900718895425939;
   fWeightMatrix0to1[2][15] = -3.10469635073564;
   fWeightMatrix0to1[3][15] = -1.76071154402054;
   fWeightMatrix0to1[4][15] = -2.79326811162646;
   fWeightMatrix0to1[5][15] = 0.459672813970019;
   fWeightMatrix0to1[6][15] = 3.30825854537511;
   fWeightMatrix0to1[7][15] = 6.52260562901093;
   fWeightMatrix0to1[8][15] = 1.7678018925461;
   fWeightMatrix0to1[9][15] = 0.431851420783801;
   fWeightMatrix0to1[10][15] = 3.57054728381421;
   fWeightMatrix0to1[11][15] = 2.33813321425576;
   fWeightMatrix0to1[12][15] = 0.357102191144431;
   fWeightMatrix0to1[13][15] = -1.77409356658252;
   fWeightMatrix0to1[14][15] = 0.771212231267427;
   fWeightMatrix0to1[15][15] = -2.65017305950873;
   fWeightMatrix0to1[16][15] = -0.689154457271435;
   fWeightMatrix0to1[17][15] = -1.99177722839581;
   fWeightMatrix0to1[18][15] = 0.914083579125654;
   fWeightMatrix0to1[19][15] = 0.0841097854348124;
   fWeightMatrix0to1[20][15] = -1.55164570050636;
   fWeightMatrix0to1[21][15] = -3.63707888740838;
   fWeightMatrix0to1[22][15] = 0.214304130273068;
   fWeightMatrix0to1[23][15] = -1.27429108700635;
   fWeightMatrix0to1[24][15] = -0.0915660882204561;
   fWeightMatrix0to1[25][15] = -0.184639300823973;
   fWeightMatrix0to1[0][16] = -1.35304320547011;
   fWeightMatrix0to1[1][16] = 1.30291592410203;
   fWeightMatrix0to1[2][16] = 0.582609395349437;
   fWeightMatrix0to1[3][16] = 5.14660624082604;
   fWeightMatrix0to1[4][16] = 1.13750626472778;
   fWeightMatrix0to1[5][16] = -0.317510804432597;
   fWeightMatrix0to1[6][16] = -0.965529109108407;
   fWeightMatrix0to1[7][16] = -10.6342463962503;
   fWeightMatrix0to1[8][16] = -3.15638352846188;
   fWeightMatrix0to1[9][16] = -0.986453432124447;
   fWeightMatrix0to1[10][16] = -3.57650482194059;
   fWeightMatrix0to1[11][16] = 5.87039485912345;
   fWeightMatrix0to1[12][16] = -2.86675647454685;
   fWeightMatrix0to1[13][16] = 2.18779740116503;
   fWeightMatrix0to1[14][16] = 1.0856372976738;
   fWeightMatrix0to1[15][16] = -2.62312386150355;
   fWeightMatrix0to1[16][16] = -9.91593005418262;
   fWeightMatrix0to1[17][16] = 2.7809561858349;
   fWeightMatrix0to1[18][16] = 4.08444424998606;
   fWeightMatrix0to1[19][16] = 2.74833157494037;
   fWeightMatrix0to1[20][16] = 0.980621073881363;
   fWeightMatrix0to1[21][16] = -4.54798913325927;
   fWeightMatrix0to1[22][16] = -2.12192689354179;
   fWeightMatrix0to1[23][16] = -0.286780717158194;
   fWeightMatrix0to1[24][16] = -1.06939331925075;
   fWeightMatrix0to1[25][16] = -1.57148691001002;
   fWeightMatrix0to1[0][17] = -4.14041051941226;
   fWeightMatrix0to1[1][17] = 0.073085571901321;
   fWeightMatrix0to1[2][17] = -2.66101682961401;
   fWeightMatrix0to1[3][17] = 10.1617861215397;
   fWeightMatrix0to1[4][17] = 4.19342825382986;
   fWeightMatrix0to1[5][17] = -0.715771885565938;
   fWeightMatrix0to1[6][17] = -5.98450693665845;
   fWeightMatrix0to1[7][17] = -15.6850227121014;
   fWeightMatrix0to1[8][17] = -0.915615103824703;
   fWeightMatrix0to1[9][17] = -1.36156895971909;
   fWeightMatrix0to1[10][17] = -4.18141425330431;
   fWeightMatrix0to1[11][17] = 11.9485183008492;
   fWeightMatrix0to1[12][17] = -0.770753452098706;
   fWeightMatrix0to1[13][17] = 1.34872723533048;
   fWeightMatrix0to1[14][17] = 5.37174770528096;
   fWeightMatrix0to1[15][17] = -2.5904545371384;
   fWeightMatrix0to1[16][17] = -6.43400025527037;
   fWeightMatrix0to1[17][17] = 7.08422161280834;
   fWeightMatrix0to1[18][17] = 2.23855221914172;
   fWeightMatrix0to1[19][17] = 0.67945734445912;
   fWeightMatrix0to1[20][17] = 0.64391142974873;
   fWeightMatrix0to1[21][17] = -4.72541747149398;
   fWeightMatrix0to1[22][17] = 0.986799110073498;
   fWeightMatrix0to1[23][17] = -0.149284901033446;
   fWeightMatrix0to1[24][17] = 0.161996550954955;
   fWeightMatrix0to1[25][17] = -1.48641351470438;
   fWeightMatrix0to1[0][18] = -3.59617222286418;
   fWeightMatrix0to1[1][18] = 1.85889014521272;
   fWeightMatrix0to1[2][18] = -0.826602034549955;
   fWeightMatrix0to1[3][18] = 9.12634811739075;
   fWeightMatrix0to1[4][18] = 1.42005613530131;
   fWeightMatrix0to1[5][18] = 0.940911110830744;
   fWeightMatrix0to1[6][18] = -5.94329894699302;
   fWeightMatrix0to1[7][18] = -18.4715344534569;
   fWeightMatrix0to1[8][18] = -3.29078730643128;
   fWeightMatrix0to1[9][18] = -2.05739288500123;
   fWeightMatrix0to1[10][18] = -3.49852066031491;
   fWeightMatrix0to1[11][18] = 14.1609131287299;
   fWeightMatrix0to1[12][18] = -3.43326620274886;
   fWeightMatrix0to1[13][18] = 2.82541636324911;
   fWeightMatrix0to1[14][18] = 6.22181162926903;
   fWeightMatrix0to1[15][18] = 0.569557069378998;
   fWeightMatrix0to1[16][18] = -8.0292738755817;
   fWeightMatrix0to1[17][18] = 5.6263866261402;
   fWeightMatrix0to1[18][18] = 1.17667779292151;
   fWeightMatrix0to1[19][18] = -0.250926531411744;
   fWeightMatrix0to1[20][18] = 1.87572833415424;
   fWeightMatrix0to1[21][18] = -3.83084771444067;
   fWeightMatrix0to1[22][18] = 0.225145532886867;
   fWeightMatrix0to1[23][18] = -2.308343090432;
   fWeightMatrix0to1[24][18] = -0.571535191462169;
   fWeightMatrix0to1[25][18] = -1.9288188517273;
   fWeightMatrix0to1[0][19] = -0.887897740563302;
   fWeightMatrix0to1[1][19] = -1.674716815375;
   fWeightMatrix0to1[2][19] = 0.462437507015467;
   fWeightMatrix0to1[3][19] = -5.6412033751495;
   fWeightMatrix0to1[4][19] = 1.63391649143651;
   fWeightMatrix0to1[5][19] = 0.61029155148071;
   fWeightMatrix0to1[6][19] = -2.00978276544984;
   fWeightMatrix0to1[7][19] = 8.81322862228981;
   fWeightMatrix0to1[8][19] = 2.32441690638809;
   fWeightMatrix0to1[9][19] = 0.615353860026453;
   fWeightMatrix0to1[10][19] = -4.84459260938114;
   fWeightMatrix0to1[11][19] = -6.83968607411817;
   fWeightMatrix0to1[12][19] = 1.110861320274;
   fWeightMatrix0to1[13][19] = -0.840592253029335;
   fWeightMatrix0to1[14][19] = 0.437127036810631;
   fWeightMatrix0to1[15][19] = -0.258852216633384;
   fWeightMatrix0to1[16][19] = 0.450604612461483;
   fWeightMatrix0to1[17][19] = 0.283770940891759;
   fWeightMatrix0to1[18][19] = 0.406722759495984;
   fWeightMatrix0to1[19][19] = 0.985148070083451;
   fWeightMatrix0to1[20][19] = 0.308864672896404;
   fWeightMatrix0to1[21][19] = -0.895376574554417;
   fWeightMatrix0to1[22][19] = -0.218904992076637;
   fWeightMatrix0to1[23][19] = 0.990146616229298;
   fWeightMatrix0to1[24][19] = 1.93043551699303;
   fWeightMatrix0to1[25][19] = 0.799106017237126;
   fWeightMatrix0to1[0][20] = 0.917286457164541;
   fWeightMatrix0to1[1][20] = -1.57588980245888;
   fWeightMatrix0to1[2][20] = 0.70728870740027;
   fWeightMatrix0to1[3][20] = -7.7126247510939;
   fWeightMatrix0to1[4][20] = 0.571294396282212;
   fWeightMatrix0to1[5][20] = 1.615723758421;
   fWeightMatrix0to1[6][20] = 2.09997398414596;
   fWeightMatrix0to1[7][20] = 9.26668245349407;
   fWeightMatrix0to1[8][20] = 2.0272538498123;
   fWeightMatrix0to1[9][20] = -2.48156101033822;
   fWeightMatrix0to1[10][20] = -3.89612801011337;
   fWeightMatrix0to1[11][20] = -6.79454017900808;
   fWeightMatrix0to1[12][20] = 0.0884240413864831;
   fWeightMatrix0to1[13][20] = 0.554169497225788;
   fWeightMatrix0to1[14][20] = -0.533068957981826;
   fWeightMatrix0to1[15][20] = 0.356970749519409;
   fWeightMatrix0to1[16][20] = -0.11992361896346;
   fWeightMatrix0to1[17][20] = -0.35645505524433;
   fWeightMatrix0to1[18][20] = -0.907507160235724;
   fWeightMatrix0to1[19][20] = -1.15340687662026;
   fWeightMatrix0to1[20][20] = -0.81085040601292;
   fWeightMatrix0to1[21][20] = 0.415583255348181;
   fWeightMatrix0to1[22][20] = -0.094701419032115;
   fWeightMatrix0to1[23][20] = -1.22792101371899;
   fWeightMatrix0to1[24][20] = 2.02337019054488;
   fWeightMatrix0to1[25][20] = 0.254791890378229;
   fWeightMatrix0to1[0][21] = -6.40549851173141;
   fWeightMatrix0to1[1][21] = -3.29959025463188;
   fWeightMatrix0to1[2][21] = 10.8249421636888;
   fWeightMatrix0to1[3][21] = -1.46393661868988;
   fWeightMatrix0to1[4][21] = 2.724099126744;
   fWeightMatrix0to1[5][21] = -0.26618898614214;
   fWeightMatrix0to1[6][21] = -0.832335677245185;
   fWeightMatrix0to1[7][21] = 5.78527952063823;
   fWeightMatrix0to1[8][21] = -1.54522229032156;
   fWeightMatrix0to1[9][21] = 2.40213728842943;
   fWeightMatrix0to1[10][21] = -25.9524432875467;
   fWeightMatrix0to1[11][21] = -10.8790267446431;
   fWeightMatrix0to1[12][21] = -1.50108606881508;
   fWeightMatrix0to1[13][21] = -11.3729269935276;
   fWeightMatrix0to1[14][21] = 10.3777966569066;
   fWeightMatrix0to1[15][21] = 6.41443773067301;
   fWeightMatrix0to1[16][21] = 5.46967254419969;
   fWeightMatrix0to1[17][21] = 19.4534648889396;
   fWeightMatrix0to1[18][21] = 8.96151152511966;
   fWeightMatrix0to1[19][21] = 1.69123322748399;
   fWeightMatrix0to1[20][21] = 0.185212428428418;
   fWeightMatrix0to1[21][21] = -23.2843270003237;
   fWeightMatrix0to1[22][21] = -0.885654844618728;
   fWeightMatrix0to1[23][21] = -1.68525941186336;
   fWeightMatrix0to1[24][21] = 1.15906156888652;
   fWeightMatrix0to1[25][21] = 0.167588148051412;
   fWeightMatrix0to1[0][22] = 0.277554184403043;
   fWeightMatrix0to1[1][22] = 1.13691736522943;
   fWeightMatrix0to1[2][22] = -0.302594039971594;
   fWeightMatrix0to1[3][22] = -0.253367623408508;
   fWeightMatrix0to1[4][22] = -0.867618221803433;
   fWeightMatrix0to1[5][22] = -2.00457729180294;
   fWeightMatrix0to1[6][22] = 0.625455113818489;
   fWeightMatrix0to1[7][22] = 0.76424956442315;
   fWeightMatrix0to1[8][22] = -0.282976834171609;
   fWeightMatrix0to1[9][22] = 0.633824015842193;
   fWeightMatrix0to1[10][22] = -1.87472955351401;
   fWeightMatrix0to1[11][22] = -1.58217689280801;
   fWeightMatrix0to1[12][22] = 0.735039864909408;
   fWeightMatrix0to1[13][22] = -2.33058048319444;
   fWeightMatrix0to1[14][22] = -0.630204349855216;
   fWeightMatrix0to1[15][22] = 1.59067211282268;
   fWeightMatrix0to1[16][22] = 0.34431957355367;
   fWeightMatrix0to1[17][22] = 3.92274519475463;
   fWeightMatrix0to1[18][22] = -1.17162541650453;
   fWeightMatrix0to1[19][22] = 1.81903961992277;
   fWeightMatrix0to1[20][22] = -0.752218750913415;
   fWeightMatrix0to1[21][22] = -0.347399902955231;
   fWeightMatrix0to1[22][22] = -2.24944294919251;
   fWeightMatrix0to1[23][22] = -0.590972505344453;
   fWeightMatrix0to1[24][22] = 0.759285348434365;
   fWeightMatrix0to1[25][22] = -1.81515493754185;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = -0.82080305723594;
   fWeightMatrix1to2[0][1] = 0.239833523241046;
   fWeightMatrix1to2[0][2] = 1.64769992249621;
   fWeightMatrix1to2[0][3] = 1.0755982555071;
   fWeightMatrix1to2[0][4] = 0.781778325866221;
   fWeightMatrix1to2[0][5] = -0.196635370115589;
   fWeightMatrix1to2[0][6] = -1.3116596209878;
   fWeightMatrix1to2[0][7] = -0.786536079642662;
   fWeightMatrix1to2[0][8] = -0.237235984623312;
   fWeightMatrix1to2[0][9] = -1.19995630611968;
   fWeightMatrix1to2[0][10] = -0.743468638138259;
   fWeightMatrix1to2[0][11] = 0.595126885705398;
   fWeightMatrix1to2[0][12] = -0.546715266407794;
   fWeightMatrix1to2[0][13] = 1.08444439471905;
   fWeightMatrix1to2[0][14] = 0.984754958436843;
   fWeightMatrix1to2[0][15] = 1.30442253221455;
   fWeightMatrix1to2[0][16] = -2.44766751915988;
   fWeightMatrix1to2[0][17] = 0.471992283493142;
   fWeightMatrix1to2[0][18] = 0.580717811643617;
   fWeightMatrix1to2[0][19] = 0.802505416245087;
   fWeightMatrix1to2[0][20] = 0.619275091089908;
   fWeightMatrix1to2[0][21] = -0.849083457545954;
   fWeightMatrix1to2[0][22] = 2.45273383616664;
   fWeightMatrix1to2[0][23] = 0.337633274324313;
   fWeightMatrix1to2[0][24] = 0.542177525645249;
   fWeightMatrix1to2[0][25] = 1.43829421044942;
   fWeightMatrix1to2[0][26] = -2.70654126276694;
}

inline double ReadProton_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 ReadProton_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadProton_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadProton_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadProton_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 ReadProton_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4970293.5;
   fMin_1[1][0] = 354.790008545;
   fMax_1[1][0] = 2577281.75;
   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] = 10.4774341583;
   fMax_1[1][1] = 492416.46875;
   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] = 0.035362098366;
   fMax_1[1][2] = 2.99956655502;
   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] = 24;
   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] = -42.5662536621;
   fMax_1[1][4] = -0.393063545227;
   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] = 0.0724393799901;
   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] = 4993.29345703;
   fMin_1[2][6] = -999;
   fMax_1[2][6] = 4999.73632812;
   fMin_1[0][7] = 2.50487555604e-05;
   fMax_1[0][7] = 51.0802001953;
   fMin_1[1][7] = 0.000132516477606;
   fMax_1[1][7] = 35.2648658752;
   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] = 19;
   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] = 0;
   fMax_1[0][13] = 1;
   fMin_1[1][13] = 0;
   fMax_1[1][13] = 1;
   fMin_1[2][13] = 0;
   fMax_1[2][13] = 1;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 107.511299133;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 71.3093032837;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 107.511299133;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 69.573600769;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 31.6660003662;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 69.573600769;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 99.5278015137;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 48.7415008545;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 99.5278015137;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 62.6166000366;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 54.5975990295;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 62.6166000366;
   fMin_1[0][18] = -999;
   fMax_1[0][18] = 47.8530006409;
   fMin_1[1][18] = -999;
   fMax_1[1][18] = 43.57970047;
   fMin_1[2][18] = -999;
   fMax_1[2][18] = 47.8530006409;
   fMin_1[0][19] = 0;
   fMax_1[0][19] = 1;
   fMin_1[1][19] = 0;
   fMax_1[1][19] = 1;
   fMin_1[2][19] = 0;
   fMax_1[2][19] = 1;
   fMin_1[0][20] = -999;
   fMax_1[0][20] = 4.79148387909;
   fMin_1[1][20] = -999;
   fMax_1[1][20] = 4.39659738541;
   fMin_1[2][20] = -999;
   fMax_1[2][20] = 4.79148387909;
   fMin_1[0][21] = 0.486891388893;
   fMax_1[0][21] = 5.4943819046;
   fMin_1[1][21] = 0.58426964283;
   fMax_1[1][21] = 3.85955047607;
   fMin_1[2][21] = 0.486891388893;
   fMax_1[2][21] = 5.4943819046;
}

//_______________________________________________________________________
inline void ReadProton_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 = 22;

   // 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);
   indicesGet.push_back( 21);
   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);
   indicesPut.push_back( 21);

   std::vector<double> dv(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<22;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 ReadProton_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

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