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

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

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

Method         : MLP::Proton_Upstream_TMVA
TMVA Release   : 4.2.0         [262656]
ROOT Release   : 5.34/18       [336402]
Creator        : jonesc
Date           : Tue Jun 17 22:40:33 2014
Host           : ec-slc6-x86-64-spi-9
Dir            : /var/pcfst/r03/lhcb/jonesc/ANNPID/results/MC12/TrainMixture/TrainPhysTksNoGhosts-EvalPhysTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Proton/Upstream
Training events: 1200000
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!)]
ConvergenceImprove: "1.000000e-16" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "15" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
# 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]
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'    [253.580001831,4741412]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [5.38133239746,954913.375]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00438635889441,2.99875736237]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,27]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-59.4464607239,-0.329912275076]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0295318737626,1]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [9.30839669309e-05,48.2787208557]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,23]
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'    [-999,117.404403687]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,75.9692993164]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,92.4810028076]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,84.875]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.9555015564]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.522471904755,3.59951853752]
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( 21 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "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] = 0.99999988079071;
      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] = 'I';
      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 ~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][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 ReadProton_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] = -0.0629983567517128;
   fWeightMatrix0to1[1][0] = 1.47456174187249;
   fWeightMatrix0to1[2][0] = -5.8980941284196;
   fWeightMatrix0to1[3][0] = -5.6472263362138;
   fWeightMatrix0to1[4][0] = -3.72362768696575;
   fWeightMatrix0to1[5][0] = 5.27057382728608;
   fWeightMatrix0to1[6][0] = -1.24487835239999;
   fWeightMatrix0to1[7][0] = 1.87289928075901;
   fWeightMatrix0to1[8][0] = 0.859992350715067;
   fWeightMatrix0to1[9][0] = -0.106380612218859;
   fWeightMatrix0to1[10][0] = -1.95098990591717;
   fWeightMatrix0to1[11][0] = 0.0743602252134409;
   fWeightMatrix0to1[12][0] = -1.04469645568268;
   fWeightMatrix0to1[13][0] = -1.38793068868151;
   fWeightMatrix0to1[14][0] = 1.71468482997826;
   fWeightMatrix0to1[15][0] = 0.502973806621077;
   fWeightMatrix0to1[16][0] = -0.662286868224189;
   fWeightMatrix0to1[17][0] = 2.38567493559555;
   fWeightMatrix0to1[18][0] = 1.7810100827964;
   fWeightMatrix0to1[19][0] = -3.61858915701445;
   fWeightMatrix0to1[20][0] = -1.1447479196783;
   fWeightMatrix0to1[21][0] = -1.14724349413534;
   fWeightMatrix0to1[22][0] = 1.05671620293719;
   fWeightMatrix0to1[23][0] = -0.0654354632882633;
   fWeightMatrix0to1[24][0] = 0.0650320069885679;
   fWeightMatrix0to1[25][0] = 0.415260373872153;
   fWeightMatrix0to1[26][0] = 1.68047108063158;
   fWeightMatrix0to1[27][0] = -0.445029307645455;
   fWeightMatrix0to1[28][0] = 1.79307530691634;
   fWeightMatrix0to1[0][1] = 0.127090363648671;
   fWeightMatrix0to1[1][1] = 0.0828855361230048;
   fWeightMatrix0to1[2][1] = -5.23845746864596;
   fWeightMatrix0to1[3][1] = -6.83584175137355;
   fWeightMatrix0to1[4][1] = -0.337528572314286;
   fWeightMatrix0to1[5][1] = 1.57492360618022;
   fWeightMatrix0to1[6][1] = -0.732311464963715;
   fWeightMatrix0to1[7][1] = -1.30454474549637;
   fWeightMatrix0to1[8][1] = 4.10605603386889;
   fWeightMatrix0to1[9][1] = -1.67214111615834;
   fWeightMatrix0to1[10][1] = 0.988082724279051;
   fWeightMatrix0to1[11][1] = 0.959775347979169;
   fWeightMatrix0to1[12][1] = 2.69899747632881;
   fWeightMatrix0to1[13][1] = 0.877604819356985;
   fWeightMatrix0to1[14][1] = 3.5278807736859;
   fWeightMatrix0to1[15][1] = -0.955817295964149;
   fWeightMatrix0to1[16][1] = -1.39960145853315;
   fWeightMatrix0to1[17][1] = 1.595469356262;
   fWeightMatrix0to1[18][1] = 1.76296831564025;
   fWeightMatrix0to1[19][1] = 0.994061316573792;
   fWeightMatrix0to1[20][1] = 0.78595594155304;
   fWeightMatrix0to1[21][1] = 1.37758121928904;
   fWeightMatrix0to1[22][1] = 0.878174774104402;
   fWeightMatrix0to1[23][1] = -1.85494613384664;
   fWeightMatrix0to1[24][1] = 2.35416755430361;
   fWeightMatrix0to1[25][1] = -1.66352781078817;
   fWeightMatrix0to1[26][1] = -1.38115363264317;
   fWeightMatrix0to1[27][1] = -0.80650146085881;
   fWeightMatrix0to1[28][1] = 1.8725925225709;
   fWeightMatrix0to1[0][2] = -0.180675335520662;
   fWeightMatrix0to1[1][2] = 0.594768637371576;
   fWeightMatrix0to1[2][2] = 0.498494299200967;
   fWeightMatrix0to1[3][2] = 0.00668890947867083;
   fWeightMatrix0to1[4][2] = -0.0159492551728885;
   fWeightMatrix0to1[5][2] = 0.75300077094661;
   fWeightMatrix0to1[6][2] = 1.43554286377738;
   fWeightMatrix0to1[7][2] = 0.0734317824067193;
   fWeightMatrix0to1[8][2] = -1.56014062179294;
   fWeightMatrix0to1[9][2] = 0.0363690333551838;
   fWeightMatrix0to1[10][2] = 0.452901552260781;
   fWeightMatrix0to1[11][2] = -0.97081219092863;
   fWeightMatrix0to1[12][2] = -1.06190068551124;
   fWeightMatrix0to1[13][2] = -0.0202461894907393;
   fWeightMatrix0to1[14][2] = 0.19708819065701;
   fWeightMatrix0to1[15][2] = 0.2697464310303;
   fWeightMatrix0to1[16][2] = 0.88491515148122;
   fWeightMatrix0to1[17][2] = -0.605783637689239;
   fWeightMatrix0to1[18][2] = -0.55006208306725;
   fWeightMatrix0to1[19][2] = -1.29823921564058;
   fWeightMatrix0to1[20][2] = 0.107243967618552;
   fWeightMatrix0to1[21][2] = 0.566313259247154;
   fWeightMatrix0to1[22][2] = 0.566014256415289;
   fWeightMatrix0to1[23][2] = 0.559428888681409;
   fWeightMatrix0to1[24][2] = 0.15220893123715;
   fWeightMatrix0to1[25][2] = -0.0807456119128298;
   fWeightMatrix0to1[26][2] = -0.53780563491544;
   fWeightMatrix0to1[27][2] = -1.24949096845305;
   fWeightMatrix0to1[28][2] = 0.804953648247359;
   fWeightMatrix0to1[0][3] = 0.376624216675782;
   fWeightMatrix0to1[1][3] = -1.73504903427178;
   fWeightMatrix0to1[2][3] = -0.481047405443463;
   fWeightMatrix0to1[3][3] = 0.573331657536286;
   fWeightMatrix0to1[4][3] = 0.364760821828578;
   fWeightMatrix0to1[5][3] = 1.7726208297149;
   fWeightMatrix0to1[6][3] = -1.67606857720612;
   fWeightMatrix0to1[7][3] = -0.592554870025039;
   fWeightMatrix0to1[8][3] = 5.12939384411393;
   fWeightMatrix0to1[9][3] = -0.240861597962204;
   fWeightMatrix0to1[10][3] = 1.45240767016899;
   fWeightMatrix0to1[11][3] = -0.18013046245567;
   fWeightMatrix0to1[12][3] = -0.511334507320398;
   fWeightMatrix0to1[13][3] = -0.294688733368923;
   fWeightMatrix0to1[14][3] = 0.503326685021192;
   fWeightMatrix0to1[15][3] = -0.380963353944924;
   fWeightMatrix0to1[16][3] = -5.0605636793064;
   fWeightMatrix0to1[17][3] = 1.58166912745229;
   fWeightMatrix0to1[18][3] = 1.59420760384209;
   fWeightMatrix0to1[19][3] = -1.17058650286534;
   fWeightMatrix0to1[20][3] = -6.01967165392687;
   fWeightMatrix0to1[21][3] = -1.66650279816442;
   fWeightMatrix0to1[22][3] = 0.532667640336668;
   fWeightMatrix0to1[23][3] = -2.01459803594479;
   fWeightMatrix0to1[24][3] = 0.469312198725086;
   fWeightMatrix0to1[25][3] = 1.02931030498855;
   fWeightMatrix0to1[26][3] = 1.14067536080259;
   fWeightMatrix0to1[27][3] = 1.11670521986939;
   fWeightMatrix0to1[28][3] = -0.590834140701596;
   fWeightMatrix0to1[0][4] = 0.295663570433528;
   fWeightMatrix0to1[1][4] = -0.42841328932851;
   fWeightMatrix0to1[2][4] = 2.33122775049843;
   fWeightMatrix0to1[3][4] = 1.48393721751012;
   fWeightMatrix0to1[4][4] = -1.89144062231644;
   fWeightMatrix0to1[5][4] = 2.89829612890664;
   fWeightMatrix0to1[6][4] = 0.0586132910603775;
   fWeightMatrix0to1[7][4] = 0.849002615661091;
   fWeightMatrix0to1[8][4] = 1.7267201264553;
   fWeightMatrix0to1[9][4] = -2.03875221143383;
   fWeightMatrix0to1[10][4] = -0.722082024483704;
   fWeightMatrix0to1[11][4] = 2.29748516621614;
   fWeightMatrix0to1[12][4] = -5.8874786872551;
   fWeightMatrix0to1[13][4] = 1.97461787139587;
   fWeightMatrix0to1[14][4] = -0.0830128838733275;
   fWeightMatrix0to1[15][4] = -0.462114852249241;
   fWeightMatrix0to1[16][4] = -1.05167106535791;
   fWeightMatrix0to1[17][4] = -0.0996649663992901;
   fWeightMatrix0to1[18][4] = -4.37505865308928;
   fWeightMatrix0to1[19][4] = 1.04350295271978;
   fWeightMatrix0to1[20][4] = -0.465434750606061;
   fWeightMatrix0to1[21][4] = 2.19140985355043;
   fWeightMatrix0to1[22][4] = 1.41747047791044;
   fWeightMatrix0to1[23][4] = 1.72216581975002;
   fWeightMatrix0to1[24][4] = -0.121405597324859;
   fWeightMatrix0to1[25][4] = -0.0335268007997359;
   fWeightMatrix0to1[26][4] = -0.514591274775047;
   fWeightMatrix0to1[27][4] = 3.78046765204527;
   fWeightMatrix0to1[28][4] = -0.223405682292223;
   fWeightMatrix0to1[0][5] = 0.229459477777347;
   fWeightMatrix0to1[1][5] = 0.935748116175153;
   fWeightMatrix0to1[2][5] = 0.241518523597242;
   fWeightMatrix0to1[3][5] = -0.383804691437351;
   fWeightMatrix0to1[4][5] = -0.171721846854451;
   fWeightMatrix0to1[5][5] = -0.970730731556738;
   fWeightMatrix0to1[6][5] = 0.247495188567661;
   fWeightMatrix0to1[7][5] = -0.0451824725426812;
   fWeightMatrix0to1[8][5] = -0.975120572012262;
   fWeightMatrix0to1[9][5] = 1.63195577241387;
   fWeightMatrix0to1[10][5] = 0.286523482366476;
   fWeightMatrix0to1[11][5] = 0.739907582644587;
   fWeightMatrix0to1[12][5] = 0.560307642362906;
   fWeightMatrix0to1[13][5] = -0.203940963113625;
   fWeightMatrix0to1[14][5] = -0.106168225531777;
   fWeightMatrix0to1[15][5] = 0.0918467791315508;
   fWeightMatrix0to1[16][5] = 0.522272841949096;
   fWeightMatrix0to1[17][5] = 0.411865643396729;
   fWeightMatrix0to1[18][5] = 1.17946689156869;
   fWeightMatrix0to1[19][5] = 1.01284142093591;
   fWeightMatrix0to1[20][5] = 0.18658469614798;
   fWeightMatrix0to1[21][5] = -0.179828971330425;
   fWeightMatrix0to1[22][5] = 0.546968327555931;
   fWeightMatrix0to1[23][5] = -0.693657408266115;
   fWeightMatrix0to1[24][5] = 0.48359637530088;
   fWeightMatrix0to1[25][5] = 0.108739744984792;
   fWeightMatrix0to1[26][5] = -0.682710173310649;
   fWeightMatrix0to1[27][5] = 0.513728341481424;
   fWeightMatrix0to1[28][5] = -0.328235954611471;
   fWeightMatrix0to1[0][6] = 0.524572746997538;
   fWeightMatrix0to1[1][6] = -2.27426233282322;
   fWeightMatrix0to1[2][6] = -0.272144392288241;
   fWeightMatrix0to1[3][6] = 0.103448827415683;
   fWeightMatrix0to1[4][6] = 0.0126156889993564;
   fWeightMatrix0to1[5][6] = -0.684572773547218;
   fWeightMatrix0to1[6][6] = -1.88553044045249;
   fWeightMatrix0to1[7][6] = 0.260875999819154;
   fWeightMatrix0to1[8][6] = 1.41055460573829;
   fWeightMatrix0to1[9][6] = -0.162390941803045;
   fWeightMatrix0to1[10][6] = 1.54506737036597;
   fWeightMatrix0to1[11][6] = -1.41756640542977;
   fWeightMatrix0to1[12][6] = -0.302568034720494;
   fWeightMatrix0to1[13][6] = 0.252661498737945;
   fWeightMatrix0to1[14][6] = -0.778003221327473;
   fWeightMatrix0to1[15][6] = -0.660331675169087;
   fWeightMatrix0to1[16][6] = -1.30367350957416;
   fWeightMatrix0to1[17][6] = 2.63424215085335;
   fWeightMatrix0to1[18][6] = -1.06917948067109;
   fWeightMatrix0to1[19][6] = 1.70251492468548;
   fWeightMatrix0to1[20][6] = 0.435611630306581;
   fWeightMatrix0to1[21][6] = 0.310258043460984;
   fWeightMatrix0to1[22][6] = -1.4375250668844;
   fWeightMatrix0to1[23][6] = 0.907084036903209;
   fWeightMatrix0to1[24][6] = -2.70809063466463;
   fWeightMatrix0to1[25][6] = -0.0535939307856968;
   fWeightMatrix0to1[26][6] = 0.459559501522927;
   fWeightMatrix0to1[27][6] = 2.04349668566501;
   fWeightMatrix0to1[28][6] = -1.90538594471105;
   fWeightMatrix0to1[0][7] = -0.526678750644295;
   fWeightMatrix0to1[1][7] = 1.36596287828231;
   fWeightMatrix0to1[2][7] = 0.411889571941559;
   fWeightMatrix0to1[3][7] = -0.215453349471946;
   fWeightMatrix0to1[4][7] = -0.0147516640083328;
   fWeightMatrix0to1[5][7] = -2.08818118505978;
   fWeightMatrix0to1[6][7] = 0.960292462419846;
   fWeightMatrix0to1[7][7] = 0.436031249877711;
   fWeightMatrix0to1[8][7] = -3.13562675525395;
   fWeightMatrix0to1[9][7] = 0.557044188440165;
   fWeightMatrix0to1[10][7] = -3.74356970474709;
   fWeightMatrix0to1[11][7] = 2.40362613065412;
   fWeightMatrix0to1[12][7] = 0.60886177057784;
   fWeightMatrix0to1[13][7] = 2.0256172911123;
   fWeightMatrix0to1[14][7] = -0.0798701102111491;
   fWeightMatrix0to1[15][7] = 0.667342443075793;
   fWeightMatrix0to1[16][7] = 5.85956122082253;
   fWeightMatrix0to1[17][7] = -5.20721068785546;
   fWeightMatrix0to1[18][7] = -2.96877364671095;
   fWeightMatrix0to1[19][7] = -3.61222770513114;
   fWeightMatrix0to1[20][7] = 3.30387634491576;
   fWeightMatrix0to1[21][7] = 0.520204852101721;
   fWeightMatrix0to1[22][7] = -0.811855618188349;
   fWeightMatrix0to1[23][7] = 0.599859871807878;
   fWeightMatrix0to1[24][7] = 3.18491096464721;
   fWeightMatrix0to1[25][7] = -0.908705657715556;
   fWeightMatrix0to1[26][7] = -0.475142178539686;
   fWeightMatrix0to1[27][7] = -3.70517074800225;
   fWeightMatrix0to1[28][7] = 2.57898150484269;
   fWeightMatrix0to1[0][8] = 0.304728273610138;
   fWeightMatrix0to1[1][8] = -0.650749435193489;
   fWeightMatrix0to1[2][8] = 0.405631813022559;
   fWeightMatrix0to1[3][8] = 0.0870784562696669;
   fWeightMatrix0to1[4][8] = 0.00764289040093732;
   fWeightMatrix0to1[5][8] = -0.141864642235394;
   fWeightMatrix0to1[6][8] = -1.48341229616573;
   fWeightMatrix0to1[7][8] = -0.0470726689121195;
   fWeightMatrix0to1[8][8] = -0.889724595994798;
   fWeightMatrix0to1[9][8] = -0.296212169668568;
   fWeightMatrix0to1[10][8] = -1.02463680171252;
   fWeightMatrix0to1[11][8] = -3.7760664374649;
   fWeightMatrix0to1[12][8] = -4.47343169499388;
   fWeightMatrix0to1[13][8] = 0.21044626612089;
   fWeightMatrix0to1[14][8] = -1.3053822289931;
   fWeightMatrix0to1[15][8] = 5.28201555274562e-05;
   fWeightMatrix0to1[16][8] = -0.000203117642136376;
   fWeightMatrix0to1[17][8] = -3.57139904064441;
   fWeightMatrix0to1[18][8] = 2.67915243219709;
   fWeightMatrix0to1[19][8] = -0.076367948934083;
   fWeightMatrix0to1[20][8] = 4.61834825613083;
   fWeightMatrix0to1[21][8] = 0.617513352410418;
   fWeightMatrix0to1[22][8] = 1.92795593412792;
   fWeightMatrix0to1[23][8] = -1.24263928167922;
   fWeightMatrix0to1[24][8] = -1.9662601156487;
   fWeightMatrix0to1[25][8] = -0.0264381227642674;
   fWeightMatrix0to1[26][8] = -0.259215428242397;
   fWeightMatrix0to1[27][8] = -1.176776331307;
   fWeightMatrix0to1[28][8] = 5.83298730553252;
   fWeightMatrix0to1[0][9] = -0.748270446825359;
   fWeightMatrix0to1[1][9] = 2.40790195231696;
   fWeightMatrix0to1[2][9] = 5.56687156308784;
   fWeightMatrix0to1[3][9] = 7.64049765005174;
   fWeightMatrix0to1[4][9] = 0.916950484003176;
   fWeightMatrix0to1[5][9] = -6.65005769648016;
   fWeightMatrix0to1[6][9] = 1.27081919698961;
   fWeightMatrix0to1[7][9] = 1.80290836430628;
   fWeightMatrix0to1[8][9] = -0.673654249716948;
   fWeightMatrix0to1[9][9] = -2.28584929512375;
   fWeightMatrix0to1[10][9] = 1.73972381940297;
   fWeightMatrix0to1[11][9] = -0.124825128981858;
   fWeightMatrix0to1[12][9] = 3.31282714057905;
   fWeightMatrix0to1[13][9] = 0.408142719894841;
   fWeightMatrix0to1[14][9] = -0.593308396769175;
   fWeightMatrix0to1[15][9] = 1.14598188405158;
   fWeightMatrix0to1[16][9] = 6.91002270933302;
   fWeightMatrix0to1[17][9] = 1.14828565094715;
   fWeightMatrix0to1[18][9] = 1.7627723376976;
   fWeightMatrix0to1[19][9] = 1.21106335568011;
   fWeightMatrix0to1[20][9] = -2.21641206442237;
   fWeightMatrix0to1[21][9] = -2.60827596486593;
   fWeightMatrix0to1[22][9] = -0.417885691671764;
   fWeightMatrix0to1[23][9] = -1.78286730538075;
   fWeightMatrix0to1[24][9] = -1.5925680061759;
   fWeightMatrix0to1[25][9] = -1.71855654882627;
   fWeightMatrix0to1[26][9] = 1.32106246471683;
   fWeightMatrix0to1[27][9] = -0.574779518173403;
   fWeightMatrix0to1[28][9] = 6.33271454484909;
   fWeightMatrix0to1[0][10] = -2.43373820991244;
   fWeightMatrix0to1[1][10] = 1.64975036848061;
   fWeightMatrix0to1[2][10] = 4.79002543326276;
   fWeightMatrix0to1[3][10] = 7.85378013288601;
   fWeightMatrix0to1[4][10] = 2.30275113188582;
   fWeightMatrix0to1[5][10] = -6.56148200989652;
   fWeightMatrix0to1[6][10] = 0.25674655958577;
   fWeightMatrix0to1[7][10] = 0.963040981048109;
   fWeightMatrix0to1[8][10] = -6.0419485012237;
   fWeightMatrix0to1[9][10] = -2.7174260183929;
   fWeightMatrix0to1[10][10] = -0.841945890324552;
   fWeightMatrix0to1[11][10] = -2.17580458452873;
   fWeightMatrix0to1[12][10] = 3.8407204684947;
   fWeightMatrix0to1[13][10] = 0.150228269452364;
   fWeightMatrix0to1[14][10] = 1.19815709991538;
   fWeightMatrix0to1[15][10] = -0.966766350738751;
   fWeightMatrix0to1[16][10] = 4.72631177092709;
   fWeightMatrix0to1[17][10] = -2.23314377958858;
   fWeightMatrix0to1[18][10] = -2.03144863591498;
   fWeightMatrix0to1[19][10] = -0.405787572279199;
   fWeightMatrix0to1[20][10] = 0.524784588546948;
   fWeightMatrix0to1[21][10] = -1.84223843573848;
   fWeightMatrix0to1[22][10] = -1.1081473601217;
   fWeightMatrix0to1[23][10] = 1.39957553029227;
   fWeightMatrix0to1[24][10] = 5.19817095343295;
   fWeightMatrix0to1[25][10] = -0.0173634330043687;
   fWeightMatrix0to1[26][10] = 1.35967187887726;
   fWeightMatrix0to1[27][10] = -0.450573224896567;
   fWeightMatrix0to1[28][10] = 5.98769009884677;
   fWeightMatrix0to1[0][11] = -0.0955321956080911;
   fWeightMatrix0to1[1][11] = -0.564829930325788;
   fWeightMatrix0to1[2][11] = -0.20328434778023;
   fWeightMatrix0to1[3][11] = 7.49970249352138;
   fWeightMatrix0to1[4][11] = 0.689590868944397;
   fWeightMatrix0to1[5][11] = -0.440156210190171;
   fWeightMatrix0to1[6][11] = 1.42805837154823;
   fWeightMatrix0to1[7][11] = 0.0217749658491623;
   fWeightMatrix0to1[8][11] = 0.638198238480101;
   fWeightMatrix0to1[9][11] = 0.160460859280397;
   fWeightMatrix0to1[10][11] = 0.810015470864976;
   fWeightMatrix0to1[11][11] = 0.0358916232852921;
   fWeightMatrix0to1[12][11] = -1.69811050590248;
   fWeightMatrix0to1[13][11] = -1.98861133786205;
   fWeightMatrix0to1[14][11] = -4.34690247613913;
   fWeightMatrix0to1[15][11] = -0.0644151915389192;
   fWeightMatrix0to1[16][11] = 7.23665586406063;
   fWeightMatrix0to1[17][11] = -0.605571715366015;
   fWeightMatrix0to1[18][11] = 0.0598605579093202;
   fWeightMatrix0to1[19][11] = 0.406579956509175;
   fWeightMatrix0to1[20][11] = -8.17156774327383;
   fWeightMatrix0to1[21][11] = 0.357192648143924;
   fWeightMatrix0to1[22][11] = 0.415701457287259;
   fWeightMatrix0to1[23][11] = 1.72608301194311;
   fWeightMatrix0to1[24][11] = -4.467444973734;
   fWeightMatrix0to1[25][11] = -0.030543156184292;
   fWeightMatrix0to1[26][11] = -0.283953035534687;
   fWeightMatrix0to1[27][11] = 0.390424500122016;
   fWeightMatrix0to1[28][11] = -0.388202633510108;
   fWeightMatrix0to1[0][12] = -0.000174473130206938;
   fWeightMatrix0to1[1][12] = -0.881020786521641;
   fWeightMatrix0to1[2][12] = -1.85605717922705;
   fWeightMatrix0to1[3][12] = 9.29720514885237;
   fWeightMatrix0to1[4][12] = 0.452317745171785;
   fWeightMatrix0to1[5][12] = 1.04394152058796;
   fWeightMatrix0to1[6][12] = -1.43935250339117;
   fWeightMatrix0to1[7][12] = 0.0394098062223761;
   fWeightMatrix0to1[8][12] = 0.503261602110686;
   fWeightMatrix0to1[9][12] = 0.2435973628578;
   fWeightMatrix0to1[10][12] = -0.581634230047525;
   fWeightMatrix0to1[11][12] = 0.439390324728959;
   fWeightMatrix0to1[12][12] = -3.06485955349036;
   fWeightMatrix0to1[13][12] = -3.54236232374268;
   fWeightMatrix0to1[14][12] = 0.834348062623995;
   fWeightMatrix0to1[15][12] = 0.00639035550254078;
   fWeightMatrix0to1[16][12] = 8.36950807270969;
   fWeightMatrix0to1[17][12] = -2.70891020531091;
   fWeightMatrix0to1[18][12] = -2.72382878931624;
   fWeightMatrix0to1[19][12] = -0.436866179141602;
   fWeightMatrix0to1[20][12] = 0.660968222075494;
   fWeightMatrix0to1[21][12] = -1.76595782070042;
   fWeightMatrix0to1[22][12] = 0.0334686613742461;
   fWeightMatrix0to1[23][12] = -1.65526384294161;
   fWeightMatrix0to1[24][12] = -3.40086861578849;
   fWeightMatrix0to1[25][12] = -0.0563757386858677;
   fWeightMatrix0to1[26][12] = -0.397496573827147;
   fWeightMatrix0to1[27][12] = 0.355016117223178;
   fWeightMatrix0to1[28][12] = 1.01469701723752;
   fWeightMatrix0to1[0][13] = 0.666480401747913;
   fWeightMatrix0to1[1][13] = 2.07972105803554;
   fWeightMatrix0to1[2][13] = -3.8257781369268;
   fWeightMatrix0to1[3][13] = -12.6998513139307;
   fWeightMatrix0to1[4][13] = 0.194183036131457;
   fWeightMatrix0to1[5][13] = -1.71945327192574;
   fWeightMatrix0to1[6][13] = 0.877118613547535;
   fWeightMatrix0to1[7][13] = 1.39644311779101;
   fWeightMatrix0to1[8][13] = 1.72123405518164;
   fWeightMatrix0to1[9][13] = 0.246566877326443;
   fWeightMatrix0to1[10][13] = 1.70043695636712;
   fWeightMatrix0to1[11][13] = 0.237889893447787;
   fWeightMatrix0to1[12][13] = 2.82095728939608;
   fWeightMatrix0to1[13][13] = 2.39958016736811;
   fWeightMatrix0to1[14][13] = 2.52884427168095;
   fWeightMatrix0to1[15][13] = -2.18639415347962;
   fWeightMatrix0to1[16][13] = -2.76491444245399;
   fWeightMatrix0to1[17][13] = 0.189353849713803;
   fWeightMatrix0to1[18][13] = 5.37344700332403;
   fWeightMatrix0to1[19][13] = 1.31538801490333;
   fWeightMatrix0to1[20][13] = -1.77586514482484;
   fWeightMatrix0to1[21][13] = -2.82131196021678;
   fWeightMatrix0to1[22][13] = -1.05162805350012;
   fWeightMatrix0to1[23][13] = 1.75834363037737;
   fWeightMatrix0to1[24][13] = -1.14744963311618;
   fWeightMatrix0to1[25][13] = 0.0163650415183665;
   fWeightMatrix0to1[26][13] = -1.79086192802197;
   fWeightMatrix0to1[27][13] = 5.48653211564681;
   fWeightMatrix0to1[28][13] = -1.48185669492792;
   fWeightMatrix0to1[0][14] = -0.368414887364228;
   fWeightMatrix0to1[1][14] = 2.14320946912972;
   fWeightMatrix0to1[2][14] = 4.58367666645896;
   fWeightMatrix0to1[3][14] = -5.67181317260009;
   fWeightMatrix0to1[4][14] = 1.11460166375373;
   fWeightMatrix0to1[5][14] = -6.79586013584583;
   fWeightMatrix0to1[6][14] = 0.399473679836749;
   fWeightMatrix0to1[7][14] = -1.3471251249019;
   fWeightMatrix0to1[8][14] = 0.656345348503848;
   fWeightMatrix0to1[9][14] = -1.34182233457253;
   fWeightMatrix0to1[10][14] = 2.51627924127954;
   fWeightMatrix0to1[11][14] = -0.105356631718801;
   fWeightMatrix0to1[12][14] = 4.91926594755865;
   fWeightMatrix0to1[13][14] = 0.827097452502838;
   fWeightMatrix0to1[14][14] = -1.80289056518489;
   fWeightMatrix0to1[15][14] = 0.071985817813644;
   fWeightMatrix0to1[16][14] = 2.50056345898118;
   fWeightMatrix0to1[17][14] = -1.46680929755116;
   fWeightMatrix0to1[18][14] = 0.880366461973288;
   fWeightMatrix0to1[19][14] = 0.329893055100319;
   fWeightMatrix0to1[20][14] = -1.97649880374511;
   fWeightMatrix0to1[21][14] = -3.18737451608053;
   fWeightMatrix0to1[22][14] = -1.20130551427617;
   fWeightMatrix0to1[23][14] = 0.737770565427589;
   fWeightMatrix0to1[24][14] = 0.824460679479411;
   fWeightMatrix0to1[25][14] = -2.10967385732138;
   fWeightMatrix0to1[26][14] = -2.27688370960111;
   fWeightMatrix0to1[27][14] = -0.237533328657092;
   fWeightMatrix0to1[28][14] = 6.77781068174862;
   fWeightMatrix0to1[0][15] = 2.21317212960119;
   fWeightMatrix0to1[1][15] = 1.72290388025394;
   fWeightMatrix0to1[2][15] = -11.2692566606674;
   fWeightMatrix0to1[3][15] = -13.3067640336143;
   fWeightMatrix0to1[4][15] = -0.473028676174445;
   fWeightMatrix0to1[5][15] = 0.873310653642759;
   fWeightMatrix0to1[6][15] = -1.60793881685969;
   fWeightMatrix0to1[7][15] = -0.288225425555858;
   fWeightMatrix0to1[8][15] = -0.27932375067629;
   fWeightMatrix0to1[9][15] = -1.51510038271346;
   fWeightMatrix0to1[10][15] = 2.33597394589176;
   fWeightMatrix0to1[11][15] = 2.38918167633729;
   fWeightMatrix0to1[12][15] = 0.347514009396107;
   fWeightMatrix0to1[13][15] = -2.63493220846306;
   fWeightMatrix0to1[14][15] = -4.12850792976494;
   fWeightMatrix0to1[15][15] = 1.89761643471268;
   fWeightMatrix0to1[16][15] = -1.42277224442156;
   fWeightMatrix0to1[17][15] = 0.166950933525402;
   fWeightMatrix0to1[18][15] = -1.30683622854589;
   fWeightMatrix0to1[19][15] = 2.4038646381251;
   fWeightMatrix0to1[20][15] = -0.078435681690898;
   fWeightMatrix0to1[21][15] = 5.09424535443483;
   fWeightMatrix0to1[22][15] = -1.66312366732077;
   fWeightMatrix0to1[23][15] = 1.58446069997234;
   fWeightMatrix0to1[24][15] = 4.48295777801054;
   fWeightMatrix0to1[25][15] = 0.493071862149405;
   fWeightMatrix0to1[26][15] = -0.771706741025796;
   fWeightMatrix0to1[27][15] = -1.4310907422188;
   fWeightMatrix0to1[28][15] = -3.46255040949921;
   fWeightMatrix0to1[0][16] = 1.93692306587316;
   fWeightMatrix0to1[1][16] = 0.730490357089517;
   fWeightMatrix0to1[2][16] = -16.8894267918305;
   fWeightMatrix0to1[3][16] = -16.1786071306975;
   fWeightMatrix0to1[4][16] = -2.0051407294443;
   fWeightMatrix0to1[5][16] = 10.7143946203558;
   fWeightMatrix0to1[6][16] = 0.369392010887558;
   fWeightMatrix0to1[7][16] = -0.597958956989455;
   fWeightMatrix0to1[8][16] = -2.17165221247563;
   fWeightMatrix0to1[9][16] = 3.83813585186465;
   fWeightMatrix0to1[10][16] = 1.17284672114222;
   fWeightMatrix0to1[11][16] = 1.4586412316613;
   fWeightMatrix0to1[12][16] = -4.81055560085032;
   fWeightMatrix0to1[13][16] = -4.31059690775419;
   fWeightMatrix0to1[14][16] = -2.29644534598387;
   fWeightMatrix0to1[15][16] = 1.57134364820763;
   fWeightMatrix0to1[16][16] = -7.8305804757838;
   fWeightMatrix0to1[17][16] = -1.18631050558927;
   fWeightMatrix0to1[18][16] = -2.39877287941768;
   fWeightMatrix0to1[19][16] = 2.15642824261623;
   fWeightMatrix0to1[20][16] = 1.23880321260488;
   fWeightMatrix0to1[21][16] = 5.22597007881975;
   fWeightMatrix0to1[22][16] = -0.539488901653266;
   fWeightMatrix0to1[23][16] = -1.27094360711861;
   fWeightMatrix0to1[24][16] = 3.88187628608415;
   fWeightMatrix0to1[25][16] = 1.62289211296121;
   fWeightMatrix0to1[26][16] = 0.763858612555881;
   fWeightMatrix0to1[27][16] = -3.20255545229532;
   fWeightMatrix0to1[28][16] = -10.4819528689693;
   fWeightMatrix0to1[0][17] = -1.12535564934088;
   fWeightMatrix0to1[1][17] = 0.142613574513101;
   fWeightMatrix0to1[2][17] = -19.4362354345384;
   fWeightMatrix0to1[3][17] = -14.6181271760438;
   fWeightMatrix0to1[4][17] = -2.69169379546528;
   fWeightMatrix0to1[5][17] = 11.6137375714822;
   fWeightMatrix0to1[6][17] = 0.294804772298295;
   fWeightMatrix0to1[7][17] = -1.88657192756112;
   fWeightMatrix0to1[8][17] = 1.14788469023348;
   fWeightMatrix0to1[9][17] = 4.43087721535846;
   fWeightMatrix0to1[10][17] = 1.97488033597333;
   fWeightMatrix0to1[11][17] = 2.86325930410689;
   fWeightMatrix0to1[12][17] = -5.89084226936699;
   fWeightMatrix0to1[13][17] = -1.51689622855551;
   fWeightMatrix0to1[14][17] = -5.08349734977306;
   fWeightMatrix0to1[15][17] = 0.546550310626689;
   fWeightMatrix0to1[16][17] = -10.7758599022728;
   fWeightMatrix0to1[17][17] = 1.07118543401849;
   fWeightMatrix0to1[18][17] = -5.39699080771638;
   fWeightMatrix0to1[19][17] = 1.22982086226783;
   fWeightMatrix0to1[20][17] = 0.664000048260352;
   fWeightMatrix0to1[21][17] = 5.69228544255474;
   fWeightMatrix0to1[22][17] = 0.489612527657466;
   fWeightMatrix0to1[23][17] = -0.887890765043125;
   fWeightMatrix0to1[24][17] = 3.49414848190521;
   fWeightMatrix0to1[25][17] = 1.76068962739124;
   fWeightMatrix0to1[26][17] = 1.31274408540419;
   fWeightMatrix0to1[27][17] = -0.553678947911655;
   fWeightMatrix0to1[28][17] = -11.6297739087905;
   fWeightMatrix0to1[0][18] = 0.48355004220404;
   fWeightMatrix0to1[1][18] = -1.3246018837374;
   fWeightMatrix0to1[2][18] = 6.77939532262978;
   fWeightMatrix0to1[3][18] = 0.916065403844269;
   fWeightMatrix0to1[4][18] = 1.6167063810134;
   fWeightMatrix0to1[5][18] = 0.966030130380418;
   fWeightMatrix0to1[6][18] = 1.5552233359591;
   fWeightMatrix0to1[7][18] = -1.62236530108401;
   fWeightMatrix0to1[8][18] = -1.38734344893418;
   fWeightMatrix0to1[9][18] = -1.33360579114677;
   fWeightMatrix0to1[10][18] = 0.988987271652244;
   fWeightMatrix0to1[11][18] = -0.769540508311687;
   fWeightMatrix0to1[12][18] = 0.525235009733561;
   fWeightMatrix0to1[13][18] = -0.805668717070642;
   fWeightMatrix0to1[14][18] = -0.517650674759188;
   fWeightMatrix0to1[15][18] = -0.98631593279636;
   fWeightMatrix0to1[16][18] = 0.727746024030975;
   fWeightMatrix0to1[17][18] = -3.916337251234;
   fWeightMatrix0to1[18][18] = 0.0308360303374595;
   fWeightMatrix0to1[19][18] = 0.943067523816968;
   fWeightMatrix0to1[20][18] = 1.37413004327004;
   fWeightMatrix0to1[21][18] = -0.560085115866941;
   fWeightMatrix0to1[22][18] = 0.575478949188362;
   fWeightMatrix0to1[23][18] = 0.0911968316598896;
   fWeightMatrix0to1[24][18] = -3.01157303624151;
   fWeightMatrix0to1[25][18] = -0.729666484382219;
   fWeightMatrix0to1[26][18] = 2.13339695511206;
   fWeightMatrix0to1[27][18] = -1.20021685134968;
   fWeightMatrix0to1[28][18] = 1.01328456246395;
   fWeightMatrix0to1[0][19] = -0.214952068817659;
   fWeightMatrix0to1[1][19] = -0.681970195019792;
   fWeightMatrix0to1[2][19] = 4.92091107865339;
   fWeightMatrix0to1[3][19] = -0.643019386001745;
   fWeightMatrix0to1[4][19] = -1.07222173451311;
   fWeightMatrix0to1[5][19] = -1.43460639729216;
   fWeightMatrix0to1[6][19] = -1.02559710161725;
   fWeightMatrix0to1[7][19] = 1.5560704800435;
   fWeightMatrix0to1[8][19] = -2.49803652184161;
   fWeightMatrix0to1[9][19] = 1.06509565485935;
   fWeightMatrix0to1[10][19] = 2.08241208491348;
   fWeightMatrix0to1[11][19] = 0.874309301306016;
   fWeightMatrix0to1[12][19] = 1.99751026378678;
   fWeightMatrix0to1[13][19] = 0.414762500363348;
   fWeightMatrix0to1[14][19] = 0.367474116890843;
   fWeightMatrix0to1[15][19] = -0.867202772238265;
   fWeightMatrix0to1[16][19] = -0.785205884423838;
   fWeightMatrix0to1[17][19] = -2.94431061933642;
   fWeightMatrix0to1[18][19] = -0.17788779079282;
   fWeightMatrix0to1[19][19] = 2.24314488974203;
   fWeightMatrix0to1[20][19] = 1.97922379074173;
   fWeightMatrix0to1[21][19] = 0.77009667000895;
   fWeightMatrix0to1[22][19] = 1.47123941133575;
   fWeightMatrix0to1[23][19] = 1.05382298448672;
   fWeightMatrix0to1[24][19] = -4.19375344212188;
   fWeightMatrix0to1[25][19] = 0.862515023856497;
   fWeightMatrix0to1[26][19] = -1.45710495839048;
   fWeightMatrix0to1[27][19] = 0.0832663024987649;
   fWeightMatrix0to1[28][19] = -1.23820416569504;
   fWeightMatrix0to1[0][20] = -0.116552271006643;
   fWeightMatrix0to1[1][20] = -0.633816873002174;
   fWeightMatrix0to1[2][20] = 4.09929043655071;
   fWeightMatrix0to1[3][20] = 0.0622541815397844;
   fWeightMatrix0to1[4][20] = 1.66279376986313;
   fWeightMatrix0to1[5][20] = -7.69070099637736;
   fWeightMatrix0to1[6][20] = -0.643777033313919;
   fWeightMatrix0to1[7][20] = 0.288245591142494;
   fWeightMatrix0to1[8][20] = -4.93253320098955;
   fWeightMatrix0to1[9][20] = -2.07057774631767;
   fWeightMatrix0to1[10][20] = -12.1303474434701;
   fWeightMatrix0to1[11][20] = 3.45647931424198;
   fWeightMatrix0to1[12][20] = -4.35026141886121;
   fWeightMatrix0to1[13][20] = 1.84162056398772;
   fWeightMatrix0to1[14][20] = -18.6878200301759;
   fWeightMatrix0to1[15][20] = -0.251045631602913;
   fWeightMatrix0to1[16][20] = 12.9973370361349;
   fWeightMatrix0to1[17][20] = -5.62610050790527;
   fWeightMatrix0to1[18][20] = -9.90207803293421;
   fWeightMatrix0to1[19][20] = -7.4104540574396;
   fWeightMatrix0to1[20][20] = 17.1311506935743;
   fWeightMatrix0to1[21][20] = 15.0355791150989;
   fWeightMatrix0to1[22][20] = 0.614419682880109;
   fWeightMatrix0to1[23][20] = -1.63064734307799;
   fWeightMatrix0to1[24][20] = 10.5118123760011;
   fWeightMatrix0to1[25][20] = -0.00383992606700751;
   fWeightMatrix0to1[26][20] = -0.123120982684321;
   fWeightMatrix0to1[27][20] = -3.09336953556099;
   fWeightMatrix0to1[28][20] = -11.3799976070317;
   fWeightMatrix0to1[0][21] = 0.137396350239204;
   fWeightMatrix0to1[1][21] = 0.478155033428351;
   fWeightMatrix0to1[2][21] = 7.45456065657793;
   fWeightMatrix0to1[3][21] = 5.80930652811373;
   fWeightMatrix0to1[4][21] = 0.0205170344617301;
   fWeightMatrix0to1[5][21] = -1.458006526425;
   fWeightMatrix0to1[6][21] = 1.84290045088184;
   fWeightMatrix0to1[7][21] = 0.232618249364971;
   fWeightMatrix0to1[8][21] = -1.54662196102414;
   fWeightMatrix0to1[9][21] = -0.238939358712967;
   fWeightMatrix0to1[10][21] = -1.35743431131119;
   fWeightMatrix0to1[11][21] = 2.33077731531835;
   fWeightMatrix0to1[12][21] = -2.1349325121901;
   fWeightMatrix0to1[13][21] = 2.48984642584835;
   fWeightMatrix0to1[14][21] = -1.07119838451133;
   fWeightMatrix0to1[15][21] = -0.717351492027505;
   fWeightMatrix0to1[16][21] = 0.038985368301258;
   fWeightMatrix0to1[17][21] = -2.44460732001527;
   fWeightMatrix0to1[18][21] = -2.19935241448375;
   fWeightMatrix0to1[19][21] = -1.12787025962647;
   fWeightMatrix0to1[20][21] = 0.78861885777054;
   fWeightMatrix0to1[21][21] = 0.70621700147334;
   fWeightMatrix0to1[22][21] = -0.0779993753528654;
   fWeightMatrix0to1[23][21] = 1.11340535929993;
   fWeightMatrix0to1[24][21] = -2.94787291652917;
   fWeightMatrix0to1[25][21] = -1.31420828027631;
   fWeightMatrix0to1[26][21] = 0.384855130328845;
   fWeightMatrix0to1[27][21] = -1.27576463628791;
   fWeightMatrix0to1[28][21] = -3.92920815999865;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = -0.346854818373691;
   fWeightMatrix1to2[0][1] = -3.3909237679544;
   fWeightMatrix1to2[0][2] = -0.652504517880585;
   fWeightMatrix1to2[0][3] = -2.07830391072052;
   fWeightMatrix1to2[0][4] = -0.813372161526605;
   fWeightMatrix1to2[0][5] = 0.65963303330441;
   fWeightMatrix1to2[0][6] = -1.81650565035179;
   fWeightMatrix1to2[0][7] = 0.0402747723055605;
   fWeightMatrix1to2[0][8] = -0.893481239607244;
   fWeightMatrix1to2[0][9] = 0.597561184008959;
   fWeightMatrix1to2[0][10] = -0.615278650097971;
   fWeightMatrix1to2[0][11] = 0.232699074692303;
   fWeightMatrix1to2[0][12] = -0.670797336682843;
   fWeightMatrix1to2[0][13] = -0.3853934340708;
   fWeightMatrix1to2[0][14] = -0.736350032325233;
   fWeightMatrix1to2[0][15] = -0.326657225511831;
   fWeightMatrix1to2[0][16] = -0.665642768205835;
   fWeightMatrix1to2[0][17] = -0.935237752197559;
   fWeightMatrix1to2[0][18] = -0.482286616083768;
   fWeightMatrix1to2[0][19] = -1.24303969455842;
   fWeightMatrix1to2[0][20] = 0.74834067973927;
   fWeightMatrix1to2[0][21] = 0.518581361155433;
   fWeightMatrix1to2[0][22] = 0.535855964913034;
   fWeightMatrix1to2[0][23] = 0.847022932461289;
   fWeightMatrix1to2[0][24] = 0.499636975186705;
   fWeightMatrix1to2[0][25] = -0.129164264938615;
   fWeightMatrix1to2[0][26] = 0.454587151018448;
   fWeightMatrix1to2[0][27] = -0.766724137836758;
   fWeightMatrix1to2[0][28] = -0.652243910952196;
   fWeightMatrix1to2[0][29] = 0.670380699525103;
}

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() 
{
   // clean up the arrays
   for (int lIdx = 0; lIdx < 3; lIdx++) {
      delete[] fWeights[lIdx];
   }
}
   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;
            iV.reserve(inputValues.size());
            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] = 253.580001831;
   fMax_1[0][0] = 4741412;
   fMin_1[1][0] = 333.600006104;
   fMax_1[1][0] = 2106659.25;
   fMin_1[2][0] = 253.580001831;
   fMax_1[2][0] = 4741412;
   fMin_1[0][1] = 5.38133239746;
   fMax_1[0][1] = 954913.375;
   fMin_1[1][1] = 13.5251541138;
   fMax_1[1][1] = 548519.9375;
   fMin_1[2][1] = 5.38133239746;
   fMax_1[2][1] = 954913.375;
   fMin_1[0][2] = 0.00438635889441;
   fMax_1[0][2] = 2.99875736237;
   fMin_1[1][2] = 0.0253186393529;
   fMax_1[1][2] = 2.99858546257;
   fMin_1[2][2] = 0.00438635889441;
   fMax_1[2][2] = 2.99875736237;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 27;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 26;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 27;
   fMin_1[0][4] = -59.4464607239;
   fMax_1[0][4] = -0.329912275076;
   fMin_1[1][4] = -40.3661956787;
   fMax_1[1][4] = -0.346602231264;
   fMin_1[2][4] = -59.4464607239;
   fMax_1[2][4] = -0.329912275076;
   fMin_1[0][5] = 0.0295318737626;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0616190172732;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0295318737626;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = 9.30839669309e-05;
   fMax_1[0][6] = 48.2787208557;
   fMin_1[1][6] = 0.000381643272704;
   fMax_1[1][6] = 39.7740097046;
   fMin_1[2][6] = 9.30839669309e-05;
   fMax_1[2][6] = 48.2787208557;
   fMin_1[0][7] = 1;
   fMax_1[0][7] = 23;
   fMin_1[1][7] = 1;
   fMax_1[1][7] = 21;
   fMin_1[2][7] = 1;
   fMax_1[2][7] = 23;
   fMin_1[0][8] = 0;
   fMax_1[0][8] = 1;
   fMin_1[1][8] = 0;
   fMax_1[1][8] = 1;
   fMin_1[2][8] = 0;
   fMax_1[2][8] = 1;
   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] = 117.404403687;
   fMin_1[1][13] = -999;
   fMax_1[1][13] = 39.4519004822;
   fMin_1[2][13] = -999;
   fMax_1[2][13] = 117.404403687;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 75.9692993164;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 33.5007019043;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 75.9692993164;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 92.4810028076;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 55.9215011597;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 92.4810028076;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 84.875;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 51.8648986816;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 84.875;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 47.9555015564;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 45.8507003784;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 47.9555015564;
   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] = 4.49353694916;
   fMin_1[2][19] = -999;
   fMax_1[2][19] = 4.79148387909;
   fMin_1[0][20] = 0.522471904755;
   fMax_1[0][20] = 2.90730333328;
   fMin_1[1][20] = 0.601123571396;
   fMax_1[1][20] = 3.59951853752;
   fMin_1[2][20] = 0.522471904755;
   fMax_1[2][20] = 3.59951853752;
}

//_______________________________________________________________________
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 = 21;

   // get indices of used variables

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

   if ( indicesGet.empty() ) { 
      indicesGet.reserve(fNvars);
      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);
   } 
   if ( indicesPut.empty() ) { 
      indicesPut.reserve(fNvars);
      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);
   } 

   static std::vector<double> dv;
   dv.resize(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 ReadProton_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

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