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

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

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

Method         : MLP::Pion_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Wed Apr 10 08:00:44 2013
Host           : Linux lxbuild175.cern.ch 2.6.18-308.4.1.el5 #1 SMP Wed Apr 18 16:26:27 CEST 2012 x86_64 x86_64 x86_64 GNU/Linux
Dir            : /afs/cern.ch/work/j/jonrob/www/ANNPID/MC12/TrainAllTks-EvalAllTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/Pion/Upstream
Training events: 1000000
Analysis type  : [Classification]


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

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


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

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


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

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

#ifndef IClassifierReader__def
#define IClassifierReader__def

class IClassifierReader {

 public:

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

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

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

 protected:

   bool fStatusIsClean;
};

#endif

class ReadPion_Upstream_TMVA : public IClassifierReader {

 public:

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

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

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

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

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

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

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadPion_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 ReadPion_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] = 12.0583204791168;
   fWeightMatrix0to1[1][0] = 6.67481414577547;
   fWeightMatrix0to1[2][0] = 1.15286702297577;
   fWeightMatrix0to1[3][0] = 4.96879495899796;
   fWeightMatrix0to1[4][0] = -1.28354195942772;
   fWeightMatrix0to1[5][0] = -15.5366346094623;
   fWeightMatrix0to1[6][0] = -0.162004303045237;
   fWeightMatrix0to1[7][0] = 1.81147785592746;
   fWeightMatrix0to1[8][0] = -1.1946861830266;
   fWeightMatrix0to1[9][0] = -0.639718154497873;
   fWeightMatrix0to1[10][0] = -1.49620553516133;
   fWeightMatrix0to1[11][0] = 6.37711447237304;
   fWeightMatrix0to1[12][0] = 2.35418995133517;
   fWeightMatrix0to1[13][0] = -11.0295334381706;
   fWeightMatrix0to1[14][0] = -8.35996951286855;
   fWeightMatrix0to1[15][0] = 7.51237060036268;
   fWeightMatrix0to1[16][0] = 1.80527181822378;
   fWeightMatrix0to1[17][0] = 5.22362876479793;
   fWeightMatrix0to1[18][0] = 6.09367192346443;
   fWeightMatrix0to1[19][0] = 16.8187503071659;
   fWeightMatrix0to1[20][0] = -0.228787316974038;
   fWeightMatrix0to1[21][0] = -1.22987895954275;
   fWeightMatrix0to1[22][0] = 0.119183219392596;
   fWeightMatrix0to1[23][0] = 10.8558930205188;
   fWeightMatrix0to1[24][0] = 0.228166521475252;
   fWeightMatrix0to1[25][0] = -6.69765787079165;
   fWeightMatrix0to1[26][0] = 0.524906328255248;
   fWeightMatrix0to1[27][0] = -1.54267959724648;
   fWeightMatrix0to1[28][0] = -9.97679285261863;
   fWeightMatrix0to1[0][1] = 9.02267811445125;
   fWeightMatrix0to1[1][1] = 3.38768857636697;
   fWeightMatrix0to1[2][1] = 3.23958955937504;
   fWeightMatrix0to1[3][1] = 1.06442626997585;
   fWeightMatrix0to1[4][1] = -6.5453112798286;
   fWeightMatrix0to1[5][1] = -8.17147973325113;
   fWeightMatrix0to1[6][1] = 0.213258706374463;
   fWeightMatrix0to1[7][1] = -2.4698770487025;
   fWeightMatrix0to1[8][1] = 2.37616201435042;
   fWeightMatrix0to1[9][1] = -0.746823514194263;
   fWeightMatrix0to1[10][1] = 1.82217139866276;
   fWeightMatrix0to1[11][1] = 7.75302391660825;
   fWeightMatrix0to1[12][1] = 1.32968386171113;
   fWeightMatrix0to1[13][1] = -3.18740950113528;
   fWeightMatrix0to1[14][1] = -1.69163801084751;
   fWeightMatrix0to1[15][1] = -0.226821507502648;
   fWeightMatrix0to1[16][1] = -0.979908431352392;
   fWeightMatrix0to1[17][1] = 3.65068118239419;
   fWeightMatrix0to1[18][1] = 6.67096885527526;
   fWeightMatrix0to1[19][1] = 14.3630343128004;
   fWeightMatrix0to1[20][1] = 2.04130975490175;
   fWeightMatrix0to1[21][1] = -1.54936358517829;
   fWeightMatrix0to1[22][1] = 0.430961620279495;
   fWeightMatrix0to1[23][1] = -1.12341231994008;
   fWeightMatrix0to1[24][1] = 2.60226044367888;
   fWeightMatrix0to1[25][1] = 1.12772681964653;
   fWeightMatrix0to1[26][1] = -1.70975809690023;
   fWeightMatrix0to1[27][1] = -6.33605500021744;
   fWeightMatrix0to1[28][1] = -6.20075592425077;
   fWeightMatrix0to1[0][2] = -1.01765789236256;
   fWeightMatrix0to1[1][2] = 0.286491435834884;
   fWeightMatrix0to1[2][2] = 2.11797302150277;
   fWeightMatrix0to1[3][2] = -1.03942996664979;
   fWeightMatrix0to1[4][2] = -0.00576250270429818;
   fWeightMatrix0to1[5][2] = -0.753772525918997;
   fWeightMatrix0to1[6][2] = -0.368562442399097;
   fWeightMatrix0to1[7][2] = 0.495002063583204;
   fWeightMatrix0to1[8][2] = 0.641637281494044;
   fWeightMatrix0to1[9][2] = -6.9892612593632;
   fWeightMatrix0to1[10][2] = -0.162487724049095;
   fWeightMatrix0to1[11][2] = 0.148987741669444;
   fWeightMatrix0to1[12][2] = -3.64378747212028;
   fWeightMatrix0to1[13][2] = -0.81854320684792;
   fWeightMatrix0to1[14][2] = -1.9234869427166;
   fWeightMatrix0to1[15][2] = 0.911357740629375;
   fWeightMatrix0to1[16][2] = 1.33514329087941;
   fWeightMatrix0to1[17][2] = -2.10065602801354;
   fWeightMatrix0to1[18][2] = -1.06178251079928;
   fWeightMatrix0to1[19][2] = 1.24207678548359;
   fWeightMatrix0to1[20][2] = 2.03114622885949;
   fWeightMatrix0to1[21][2] = 1.18757247111893;
   fWeightMatrix0to1[22][2] = 1.79891962166912;
   fWeightMatrix0to1[23][2] = -0.595869984242059;
   fWeightMatrix0to1[24][2] = 0.632427387111177;
   fWeightMatrix0to1[25][2] = 0.720241853115988;
   fWeightMatrix0to1[26][2] = 0.0392718945101768;
   fWeightMatrix0to1[27][2] = -1.44418345814851;
   fWeightMatrix0to1[28][2] = 1.8857598935034;
   fWeightMatrix0to1[0][3] = 19.9113361548433;
   fWeightMatrix0to1[1][3] = -4.47120975781524;
   fWeightMatrix0to1[2][3] = -7.131246491748;
   fWeightMatrix0to1[3][3] = -14.2308109929496;
   fWeightMatrix0to1[4][3] = -14.3029458360291;
   fWeightMatrix0to1[5][3] = 10.4685584593017;
   fWeightMatrix0to1[6][3] = 1.17701570123341;
   fWeightMatrix0to1[7][3] = 0.40266567314694;
   fWeightMatrix0to1[8][3] = 1.5383257891787;
   fWeightMatrix0to1[9][3] = -3.38990347821131;
   fWeightMatrix0to1[10][3] = 0.929591770667851;
   fWeightMatrix0to1[11][3] = -8.16519886798464;
   fWeightMatrix0to1[12][3] = 48.7438223821303;
   fWeightMatrix0to1[13][3] = -30.7112426162255;
   fWeightMatrix0to1[14][3] = 3.08229187603848;
   fWeightMatrix0to1[15][3] = -2.79483236643353;
   fWeightMatrix0to1[16][3] = 0.908815896847378;
   fWeightMatrix0to1[17][3] = -3.76746913651063;
   fWeightMatrix0to1[18][3] = 20.6381158714566;
   fWeightMatrix0to1[19][3] = -9.45750469841318;
   fWeightMatrix0to1[20][3] = -3.90819270791805;
   fWeightMatrix0to1[21][3] = 5.74669031366605;
   fWeightMatrix0to1[22][3] = 0.425967744528432;
   fWeightMatrix0to1[23][3] = 4.66500271827748;
   fWeightMatrix0to1[24][3] = 0.290566222668852;
   fWeightMatrix0to1[25][3] = -13.2153420794815;
   fWeightMatrix0to1[26][3] = 0.168799919592649;
   fWeightMatrix0to1[27][3] = 1.71037762512742;
   fWeightMatrix0to1[28][3] = -5.03805333070241;
   fWeightMatrix0to1[0][4] = 5.81547722554608;
   fWeightMatrix0to1[1][4] = -13.6974701105262;
   fWeightMatrix0to1[2][4] = 6.5789171489461;
   fWeightMatrix0to1[3][4] = -1.37918995973722;
   fWeightMatrix0to1[4][4] = -4.44067471669355;
   fWeightMatrix0to1[5][4] = 7.31585726786669;
   fWeightMatrix0to1[6][4] = 0.572800500819038;
   fWeightMatrix0to1[7][4] = -1.58484870789185;
   fWeightMatrix0to1[8][4] = 0.0476319870982716;
   fWeightMatrix0to1[9][4] = 3.3142679005092;
   fWeightMatrix0to1[10][4] = 1.02683095746832;
   fWeightMatrix0to1[11][4] = 6.92062081286146;
   fWeightMatrix0to1[12][4] = -2.30154104984575;
   fWeightMatrix0to1[13][4] = -3.88812451977628;
   fWeightMatrix0to1[14][4] = -9.37712526675559;
   fWeightMatrix0to1[15][4] = -8.62961020543365;
   fWeightMatrix0to1[16][4] = 4.91097573380565;
   fWeightMatrix0to1[17][4] = 2.53709366199537;
   fWeightMatrix0to1[18][4] = 0.850429934431048;
   fWeightMatrix0to1[19][4] = 5.23345790351278;
   fWeightMatrix0to1[20][4] = 1.68329588184298;
   fWeightMatrix0to1[21][4] = -2.30422115154984;
   fWeightMatrix0to1[22][4] = 0.902455182258468;
   fWeightMatrix0to1[23][4] = 4.99854469057064;
   fWeightMatrix0to1[24][4] = 3.48059885916494;
   fWeightMatrix0to1[25][4] = 2.11292044275372;
   fWeightMatrix0to1[26][4] = -0.391820133352695;
   fWeightMatrix0to1[27][4] = 0.455605275958997;
   fWeightMatrix0to1[28][4] = -4.53655766710332;
   fWeightMatrix0to1[0][5] = -1.04885402929141;
   fWeightMatrix0to1[1][5] = 0.19543014868695;
   fWeightMatrix0to1[2][5] = -1.52913766176318;
   fWeightMatrix0to1[3][5] = 0.739253063906586;
   fWeightMatrix0to1[4][5] = -0.589650192286477;
   fWeightMatrix0to1[5][5] = 0.4021547185787;
   fWeightMatrix0to1[6][5] = 0.511097349474226;
   fWeightMatrix0to1[7][5] = 1.41950272916343;
   fWeightMatrix0to1[8][5] = -0.0652593009413171;
   fWeightMatrix0to1[9][5] = -1.33693969826909;
   fWeightMatrix0to1[10][5] = 0.0676996736245926;
   fWeightMatrix0to1[11][5] = -0.346326547623721;
   fWeightMatrix0to1[12][5] = 6.60840010215835;
   fWeightMatrix0to1[13][5] = 0.25161675497704;
   fWeightMatrix0to1[14][5] = 1.49949003059425;
   fWeightMatrix0to1[15][5] = -1.29118058136511;
   fWeightMatrix0to1[16][5] = -1.57351606900955;
   fWeightMatrix0to1[17][5] = 3.68732177294006;
   fWeightMatrix0to1[18][5] = -0.0706034756786152;
   fWeightMatrix0to1[19][5] = -0.0366782170609305;
   fWeightMatrix0to1[20][5] = -1.30231459571949;
   fWeightMatrix0to1[21][5] = -0.0880037902533351;
   fWeightMatrix0to1[22][5] = 0.0386442784748906;
   fWeightMatrix0to1[23][5] = 0.321077885315758;
   fWeightMatrix0to1[24][5] = 1.68382568033729;
   fWeightMatrix0to1[25][5] = -1.31537597985093;
   fWeightMatrix0to1[26][5] = 0.457429814726172;
   fWeightMatrix0to1[27][5] = -0.309830809624428;
   fWeightMatrix0to1[28][5] = 0.341783080740835;
   fWeightMatrix0to1[0][6] = 4.68352075859476;
   fWeightMatrix0to1[1][6] = -0.187042622583049;
   fWeightMatrix0to1[2][6] = 10.6306954812719;
   fWeightMatrix0to1[3][6] = -0.410612536059132;
   fWeightMatrix0to1[4][6] = 0.943095153031934;
   fWeightMatrix0to1[5][6] = -11.5226562148073;
   fWeightMatrix0to1[6][6] = -3.29756718384265;
   fWeightMatrix0to1[7][6] = -0.521017720318459;
   fWeightMatrix0to1[8][6] = 4.54661678970886;
   fWeightMatrix0to1[9][6] = -4.15781284968123;
   fWeightMatrix0to1[10][6] = -0.0107915787274928;
   fWeightMatrix0to1[11][6] = -9.32862535657773;
   fWeightMatrix0to1[12][6] = -0.164939440203653;
   fWeightMatrix0to1[13][6] = 12.6728960632182;
   fWeightMatrix0to1[14][6] = 7.77724314697076;
   fWeightMatrix0to1[15][6] = -3.64997234090551;
   fWeightMatrix0to1[16][6] = -1.04671440983345;
   fWeightMatrix0to1[17][6] = -0.445760580720343;
   fWeightMatrix0to1[18][6] = 0.967114578025204;
   fWeightMatrix0to1[19][6] = -0.0729724800722978;
   fWeightMatrix0to1[20][6] = 1.98493649646451;
   fWeightMatrix0to1[21][6] = -0.212153070204754;
   fWeightMatrix0to1[22][6] = -1.95484317837428;
   fWeightMatrix0to1[23][6] = 0.458723852112041;
   fWeightMatrix0to1[24][6] = -0.8838271663588;
   fWeightMatrix0to1[25][6] = 0.476061969284821;
   fWeightMatrix0to1[26][6] = -0.169277667246079;
   fWeightMatrix0to1[27][6] = 1.08230936442586;
   fWeightMatrix0to1[28][6] = 0.148033793002646;
   fWeightMatrix0to1[0][7] = 3.12939697215976;
   fWeightMatrix0to1[1][7] = -2.26379016869292;
   fWeightMatrix0to1[2][7] = -14.7661723409077;
   fWeightMatrix0to1[3][7] = 1.03327927326307;
   fWeightMatrix0to1[4][7] = 2.38601760772641;
   fWeightMatrix0to1[5][7] = 1.49238545136102;
   fWeightMatrix0to1[6][7] = -0.33639874506386;
   fWeightMatrix0to1[7][7] = -0.0787234431130728;
   fWeightMatrix0to1[8][7] = -0.959626505787221;
   fWeightMatrix0to1[9][7] = 5.15145015984489;
   fWeightMatrix0to1[10][7] = -0.164226606794361;
   fWeightMatrix0to1[11][7] = 1.41258356135698;
   fWeightMatrix0to1[12][7] = -1.02529587822682;
   fWeightMatrix0to1[13][7] = 2.85513044798334;
   fWeightMatrix0to1[14][7] = 1.3106998013396;
   fWeightMatrix0to1[15][7] = -1.23358394623046;
   fWeightMatrix0to1[16][7] = -0.868602475360006;
   fWeightMatrix0to1[17][7] = 3.16908801777811;
   fWeightMatrix0to1[18][7] = 1.69397785975376;
   fWeightMatrix0to1[19][7] = -0.306105855712549;
   fWeightMatrix0to1[20][7] = 0.778446809198342;
   fWeightMatrix0to1[21][7] = -2.50361118044432;
   fWeightMatrix0to1[22][7] = -1.55621418826346;
   fWeightMatrix0to1[23][7] = 4.45040467223699;
   fWeightMatrix0to1[24][7] = -0.66957610902418;
   fWeightMatrix0to1[25][7] = -19.182745772326;
   fWeightMatrix0to1[26][7] = -0.305679755413021;
   fWeightMatrix0to1[27][7] = 1.54966467729469;
   fWeightMatrix0to1[28][7] = -3.80968628631615;
   fWeightMatrix0to1[0][8] = -21.2122434622058;
   fWeightMatrix0to1[1][8] = 6.21845343717381;
   fWeightMatrix0to1[2][8] = 11.9195051433392;
   fWeightMatrix0to1[3][8] = 12.3134404322345;
   fWeightMatrix0to1[4][8] = 7.53356664179416;
   fWeightMatrix0to1[5][8] = -9.80406704314155;
   fWeightMatrix0to1[6][8] = 0.436416785474171;
   fWeightMatrix0to1[7][8] = 1.17082564154643;
   fWeightMatrix0to1[8][8] = 1.12912710158285;
   fWeightMatrix0to1[9][8] = 1.12481745097935;
   fWeightMatrix0to1[10][8] = -0.199695829004882;
   fWeightMatrix0to1[11][8] = 9.50106432801326;
   fWeightMatrix0to1[12][8] = -43.033658545432;
   fWeightMatrix0to1[13][8] = 29.8063597332947;
   fWeightMatrix0to1[14][8] = -3.91603500034381;
   fWeightMatrix0to1[15][8] = 2.47799780287209;
   fWeightMatrix0to1[16][8] = 0.116621261084549;
   fWeightMatrix0to1[17][8] = 0.107015392106394;
   fWeightMatrix0to1[18][8] = -19.3686153540493;
   fWeightMatrix0to1[19][8] = 8.03407997154014;
   fWeightMatrix0to1[20][8] = 0.522761332501657;
   fWeightMatrix0to1[21][8] = -1.90295701276769;
   fWeightMatrix0to1[22][8] = 0.893482010192869;
   fWeightMatrix0to1[23][8] = -8.58576752432912;
   fWeightMatrix0to1[24][8] = -0.606643863543167;
   fWeightMatrix0to1[25][8] = 16.2986247728322;
   fWeightMatrix0to1[26][8] = -0.296660085344888;
   fWeightMatrix0to1[27][8] = -2.98257780936254;
   fWeightMatrix0to1[28][8] = 6.38852403984225;
   fWeightMatrix0to1[0][9] = 0.133892855765753;
   fWeightMatrix0to1[1][9] = 3.93458336571548;
   fWeightMatrix0to1[2][9] = -0.159836465695145;
   fWeightMatrix0to1[3][9] = -0.802960273295001;
   fWeightMatrix0to1[4][9] = -0.376546675031418;
   fWeightMatrix0to1[5][9] = 0.192527200537146;
   fWeightMatrix0to1[6][9] = -1.64245353557904;
   fWeightMatrix0to1[7][9] = -0.0552775657653302;
   fWeightMatrix0to1[8][9] = -2.35462070849077;
   fWeightMatrix0to1[9][9] = 1.11930110022841;
   fWeightMatrix0to1[10][9] = -0.000949299957669994;
   fWeightMatrix0to1[11][9] = 0.339673622053856;
   fWeightMatrix0to1[12][9] = 8.28339254617046;
   fWeightMatrix0to1[13][9] = -3.07150600872183;
   fWeightMatrix0to1[14][9] = 3.28741080930487;
   fWeightMatrix0to1[15][9] = 0.853218103128772;
   fWeightMatrix0to1[16][9] = -0.933296741201517;
   fWeightMatrix0to1[17][9] = 2.4682321296306;
   fWeightMatrix0to1[18][9] = -1.06112617320456;
   fWeightMatrix0to1[19][9] = -0.203246933161553;
   fWeightMatrix0to1[20][9] = 0.3544318412895;
   fWeightMatrix0to1[21][9] = -3.79306945233532;
   fWeightMatrix0to1[22][9] = -0.799476344527469;
   fWeightMatrix0to1[23][9] = -0.451179209191643;
   fWeightMatrix0to1[24][9] = 0.0499941519643264;
   fWeightMatrix0to1[25][9] = 0.0628229856699529;
   fWeightMatrix0to1[26][9] = -0.514774464591306;
   fWeightMatrix0to1[27][9] = -0.0194021118479544;
   fWeightMatrix0to1[28][9] = 0.245369601515822;
   fWeightMatrix0to1[0][10] = -8.5969882325535;
   fWeightMatrix0to1[1][10] = -2.6558035922414;
   fWeightMatrix0to1[2][10] = -1.54333094093096;
   fWeightMatrix0to1[3][10] = 2.58077765556881;
   fWeightMatrix0to1[4][10] = 0.684532576956233;
   fWeightMatrix0to1[5][10] = 7.15335033746122;
   fWeightMatrix0to1[6][10] = -1.66107224768729;
   fWeightMatrix0to1[7][10] = 1.83808002699616;
   fWeightMatrix0to1[8][10] = 0.812679648521365;
   fWeightMatrix0to1[9][10] = -0.476825050849868;
   fWeightMatrix0to1[10][10] = -2.358053645762;
   fWeightMatrix0to1[11][10] = 1.92152554477447;
   fWeightMatrix0to1[12][10] = 10.0193351519757;
   fWeightMatrix0to1[13][10] = -1.6451566635995;
   fWeightMatrix0to1[14][10] = -5.00107558753425;
   fWeightMatrix0to1[15][10] = -6.98165472133639;
   fWeightMatrix0to1[16][10] = 0.713478675239854;
   fWeightMatrix0to1[17][10] = -1.24311911328265;
   fWeightMatrix0to1[18][10] = -0.492263517173284;
   fWeightMatrix0to1[19][10] = -14.4079799007854;
   fWeightMatrix0to1[20][10] = 1.75804455072646;
   fWeightMatrix0to1[21][10] = -1.50642127716234;
   fWeightMatrix0to1[22][10] = -1.49815327695877;
   fWeightMatrix0to1[23][10] = 1.47218850229536;
   fWeightMatrix0to1[24][10] = 3.37152723390779;
   fWeightMatrix0to1[25][10] = -0.250449033161764;
   fWeightMatrix0to1[26][10] = 1.00498660227884;
   fWeightMatrix0to1[27][10] = -1.43438771095917;
   fWeightMatrix0to1[28][10] = 2.58350802074082;
   fWeightMatrix0to1[0][11] = -6.84252660799735;
   fWeightMatrix0to1[1][11] = -5.28255103778459;
   fWeightMatrix0to1[2][11] = -0.697507617176535;
   fWeightMatrix0to1[3][11] = 0.929168913069199;
   fWeightMatrix0to1[4][11] = -4.56376867998041;
   fWeightMatrix0to1[5][11] = 0.458325993374281;
   fWeightMatrix0to1[6][11] = 0.478846521466837;
   fWeightMatrix0to1[7][11] = -1.1209297271827;
   fWeightMatrix0to1[8][11] = 1.55966320846022;
   fWeightMatrix0to1[9][11] = -0.377057617785067;
   fWeightMatrix0to1[10][11] = -0.214024556551699;
   fWeightMatrix0to1[11][11] = -0.0839042781045051;
   fWeightMatrix0to1[12][11] = -8.47279764302299;
   fWeightMatrix0to1[13][11] = -2.75077121765096;
   fWeightMatrix0to1[14][11] = -7.11594398786755;
   fWeightMatrix0to1[15][11] = 3.07221225113845;
   fWeightMatrix0to1[16][11] = 4.22560246115885;
   fWeightMatrix0to1[17][11] = 1.1727043705493;
   fWeightMatrix0to1[18][11] = 0.00894823819540915;
   fWeightMatrix0to1[19][11] = 0.221596589467185;
   fWeightMatrix0to1[20][11] = -0.0484403675524347;
   fWeightMatrix0to1[21][11] = -2.99843812469745;
   fWeightMatrix0to1[22][11] = -0.124172724148223;
   fWeightMatrix0to1[23][11] = 0.119813780774419;
   fWeightMatrix0to1[24][11] = -0.259951424221947;
   fWeightMatrix0to1[25][11] = -0.00135858842192641;
   fWeightMatrix0to1[26][11] = -0.784352820329311;
   fWeightMatrix0to1[27][11] = -0.448772576009141;
   fWeightMatrix0to1[28][11] = -0.235960527474556;
   fWeightMatrix0to1[0][12] = 0.0941590181077348;
   fWeightMatrix0to1[1][12] = 0.046152499976229;
   fWeightMatrix0to1[2][12] = 6.43727505477835;
   fWeightMatrix0to1[3][12] = 4.73762398696787;
   fWeightMatrix0to1[4][12] = 0.0177758490045921;
   fWeightMatrix0to1[5][12] = -0.0932551543262594;
   fWeightMatrix0to1[6][12] = -1.99566548352362;
   fWeightMatrix0to1[7][12] = -0.0578498403732286;
   fWeightMatrix0to1[8][12] = 0.16746279807848;
   fWeightMatrix0to1[9][12] = 1.39254984632059;
   fWeightMatrix0to1[10][12] = 0.67302003205276;
   fWeightMatrix0to1[11][12] = 0.160392665209076;
   fWeightMatrix0to1[12][12] = 0.0103376904897329;
   fWeightMatrix0to1[13][12] = -4.9853109923923;
   fWeightMatrix0to1[14][12] = -7.91896289813822;
   fWeightMatrix0to1[15][12] = -0.282685730763962;
   fWeightMatrix0to1[16][12] = 0.170422979581992;
   fWeightMatrix0to1[17][12] = -4.64230594978746;
   fWeightMatrix0to1[18][12] = -7.04775520567526;
   fWeightMatrix0to1[19][12] = -0.430162581333826;
   fWeightMatrix0to1[20][12] = -0.042494698637562;
   fWeightMatrix0to1[21][12] = -4.05120524068859;
   fWeightMatrix0to1[22][12] = 0.931909986657079;
   fWeightMatrix0to1[23][12] = 0.125617727310482;
   fWeightMatrix0to1[24][12] = -0.166264551699285;
   fWeightMatrix0to1[25][12] = 18.4094875250893;
   fWeightMatrix0to1[26][12] = 0.270151467910867;
   fWeightMatrix0to1[27][12] = -0.0221247671111819;
   fWeightMatrix0to1[28][12] = -0.557920847079064;
   fWeightMatrix0to1[0][13] = 18.5963684023583;
   fWeightMatrix0to1[1][13] = 9.19896815325158;
   fWeightMatrix0to1[2][13] = 1.31054761471827;
   fWeightMatrix0to1[3][13] = -21.2095122041211;
   fWeightMatrix0to1[4][13] = 29.6623786283104;
   fWeightMatrix0to1[5][13] = -54.6074407400274;
   fWeightMatrix0to1[6][13] = 2.34593431613924;
   fWeightMatrix0to1[7][13] = 0.980136182213595;
   fWeightMatrix0to1[8][13] = 1.24981109388655;
   fWeightMatrix0to1[9][13] = 1.96217968030545;
   fWeightMatrix0to1[10][13] = 0.410100471620442;
   fWeightMatrix0to1[11][13] = -8.40482925677758;
   fWeightMatrix0to1[12][13] = -28.7401385389311;
   fWeightMatrix0to1[13][13] = 17.0733835750621;
   fWeightMatrix0to1[14][13] = -1.18333896149983;
   fWeightMatrix0to1[15][13] = 8.23818803853911;
   fWeightMatrix0to1[16][13] = -4.5582220234782;
   fWeightMatrix0to1[17][13] = -1.57420126058649;
   fWeightMatrix0to1[18][13] = -9.8598972546051;
   fWeightMatrix0to1[19][13] = 12.5580452016554;
   fWeightMatrix0to1[20][13] = 1.30083948650482;
   fWeightMatrix0to1[21][13] = 1.92201082311297;
   fWeightMatrix0to1[22][13] = -0.663162846422393;
   fWeightMatrix0to1[23][13] = -2.44409893786772;
   fWeightMatrix0to1[24][13] = -4.45838054542796;
   fWeightMatrix0to1[25][13] = 10.7896535029903;
   fWeightMatrix0to1[26][13] = 0.222114049560254;
   fWeightMatrix0to1[27][13] = 6.8676879669269;
   fWeightMatrix0to1[28][13] = 17.116555700774;
   fWeightMatrix0to1[0][14] = -9.27535659934139;
   fWeightMatrix0to1[1][14] = 0.915049451592145;
   fWeightMatrix0to1[2][14] = 0.722663131916828;
   fWeightMatrix0to1[3][14] = 1.73061392327547;
   fWeightMatrix0to1[4][14] = 2.5121988419373;
   fWeightMatrix0to1[5][14] = 5.19542926555812;
   fWeightMatrix0to1[6][14] = -0.888789884383556;
   fWeightMatrix0to1[7][14] = -0.841774363822738;
   fWeightMatrix0to1[8][14] = 2.07629428327153;
   fWeightMatrix0to1[9][14] = 0.745285150640353;
   fWeightMatrix0to1[10][14] = 0.968181976592942;
   fWeightMatrix0to1[11][14] = 1.61734044537274;
   fWeightMatrix0to1[12][14] = 2.42188752065114;
   fWeightMatrix0to1[13][14] = -3.48673198002884;
   fWeightMatrix0to1[14][14] = -3.21755949996057;
   fWeightMatrix0to1[15][14] = 0.332611320202793;
   fWeightMatrix0to1[16][14] = 2.85864659331913;
   fWeightMatrix0to1[17][14] = -1.31366760405844;
   fWeightMatrix0to1[18][14] = -0.956268718310806;
   fWeightMatrix0to1[19][14] = -4.04613734952756;
   fWeightMatrix0to1[20][14] = -0.668791430305901;
   fWeightMatrix0to1[21][14] = -2.02205510496543;
   fWeightMatrix0to1[22][14] = -1.73489539181705;
   fWeightMatrix0to1[23][14] = -0.517798896777392;
   fWeightMatrix0to1[24][14] = 1.14948028499919;
   fWeightMatrix0to1[25][14] = -1.71371940933753;
   fWeightMatrix0to1[26][14] = -2.3043208832852;
   fWeightMatrix0to1[27][14] = 2.88527221273588;
   fWeightMatrix0to1[28][14] = 7.64090586833032;
   fWeightMatrix0to1[0][15] = 16.0787547759485;
   fWeightMatrix0to1[1][15] = 11.3452686222499;
   fWeightMatrix0to1[2][15] = -1.44443325934288;
   fWeightMatrix0to1[3][15] = 2.21134453829278;
   fWeightMatrix0to1[4][15] = -6.30028481704268;
   fWeightMatrix0to1[5][15] = -12.7070464188359;
   fWeightMatrix0to1[6][15] = -1.12527225109179;
   fWeightMatrix0to1[7][15] = 0.141090905856202;
   fWeightMatrix0to1[8][15] = -0.567225007202606;
   fWeightMatrix0to1[9][15] = -0.540708404088485;
   fWeightMatrix0to1[10][15] = 0.456058019081051;
   fWeightMatrix0to1[11][15] = 1.19148959229127;
   fWeightMatrix0to1[12][15] = 3.24845750598766;
   fWeightMatrix0to1[13][15] = -1.55927460915706;
   fWeightMatrix0to1[14][15] = 5.51870840203412;
   fWeightMatrix0to1[15][15] = 11.5501283103966;
   fWeightMatrix0to1[16][15] = -1.0039900858194;
   fWeightMatrix0to1[17][15] = 0.795492890656151;
   fWeightMatrix0to1[18][15] = 4.70555269159107;
   fWeightMatrix0to1[19][15] = 15.7737605171625;
   fWeightMatrix0to1[20][15] = -1.64847829015898;
   fWeightMatrix0to1[21][15] = 1.01930542097739;
   fWeightMatrix0to1[22][15] = -2.23829663082686;
   fWeightMatrix0to1[23][15] = 2.53618379048736;
   fWeightMatrix0to1[24][15] = -0.0727881215270646;
   fWeightMatrix0to1[25][15] = -2.9727171880694;
   fWeightMatrix0to1[26][15] = 0.017063929093713;
   fWeightMatrix0to1[27][15] = -3.43763059134498;
   fWeightMatrix0to1[28][15] = -5.32921235429908;
   fWeightMatrix0to1[0][16] = 1.21980379289862;
   fWeightMatrix0to1[1][16] = 6.27967798634833;
   fWeightMatrix0to1[2][16] = -2.16260816903516;
   fWeightMatrix0to1[3][16] = 2.92061869951069;
   fWeightMatrix0to1[4][16] = -8.5514599991988;
   fWeightMatrix0to1[5][16] = 7.6999598472958;
   fWeightMatrix0to1[6][16] = 0.624501381839157;
   fWeightMatrix0to1[7][16] = -0.299716648515503;
   fWeightMatrix0to1[8][16] = -1.78983974145936;
   fWeightMatrix0to1[9][16] = 2.77875780065567;
   fWeightMatrix0to1[10][16] = -0.217211078805666;
   fWeightMatrix0to1[11][16] = 1.66256682487016;
   fWeightMatrix0to1[12][16] = 7.94746913562155;
   fWeightMatrix0to1[13][16] = -2.82883830105319;
   fWeightMatrix0to1[14][16] = 3.26791007961384;
   fWeightMatrix0to1[15][16] = 4.45080277239083;
   fWeightMatrix0to1[16][16] = -1.67463731171759;
   fWeightMatrix0to1[17][16] = -0.69130640283943;
   fWeightMatrix0to1[18][16] = 4.75518510035903;
   fWeightMatrix0to1[19][16] = 10.4328494088418;
   fWeightMatrix0to1[20][16] = 0.827941322816324;
   fWeightMatrix0to1[21][16] = -0.112454721482488;
   fWeightMatrix0to1[22][16] = -1.59893728752751;
   fWeightMatrix0to1[23][16] = 0.274322431143393;
   fWeightMatrix0to1[24][16] = 0.361621182162866;
   fWeightMatrix0to1[25][16] = -2.80547189308681;
   fWeightMatrix0to1[26][16] = 0.498769793399805;
   fWeightMatrix0to1[27][16] = -7.13430391892744;
   fWeightMatrix0to1[28][16] = -9.4198427405683;
   fWeightMatrix0to1[0][17] = 23.8890196160142;
   fWeightMatrix0to1[1][17] = 15.5210381605134;
   fWeightMatrix0to1[2][17] = -3.53286551883426;
   fWeightMatrix0to1[3][17] = 5.53615379349934;
   fWeightMatrix0to1[4][17] = -11.2614179069322;
   fWeightMatrix0to1[5][17] = -14.8355681199028;
   fWeightMatrix0to1[6][17] = 1.34115582572494;
   fWeightMatrix0to1[7][17] = -0.881484683246118;
   fWeightMatrix0to1[8][17] = -0.653825385069037;
   fWeightMatrix0to1[9][17] = 2.88548594589404;
   fWeightMatrix0to1[10][17] = -0.171394419603766;
   fWeightMatrix0to1[11][17] = 1.4442235107983;
   fWeightMatrix0to1[12][17] = 3.08162775594681;
   fWeightMatrix0to1[13][17] = -0.128217671349257;
   fWeightMatrix0to1[14][17] = 13.3159223314569;
   fWeightMatrix0to1[15][17] = -0.756717904333048;
   fWeightMatrix0to1[16][17] = -0.294900943014474;
   fWeightMatrix0to1[17][17] = 1.64051043143997;
   fWeightMatrix0to1[18][17] = 2.00042408608733;
   fWeightMatrix0to1[19][17] = 22.4864798699164;
   fWeightMatrix0to1[20][17] = -1.85453509881358;
   fWeightMatrix0to1[21][17] = 0.255566920835246;
   fWeightMatrix0to1[22][17] = -0.982329974082207;
   fWeightMatrix0to1[23][17] = 1.01557550570556;
   fWeightMatrix0to1[24][17] = -1.1251083360269;
   fWeightMatrix0to1[25][17] = -2.90457508402093;
   fWeightMatrix0to1[26][17] = 1.05507918446189;
   fWeightMatrix0to1[27][17] = -4.41394107992793;
   fWeightMatrix0to1[28][17] = -12.0017325983755;
   fWeightMatrix0to1[0][18] = -3.73158513049533;
   fWeightMatrix0to1[1][18] = -5.58563296144823;
   fWeightMatrix0to1[2][18] = -2.0394269540622;
   fWeightMatrix0to1[3][18] = 4.52675508117179;
   fWeightMatrix0to1[4][18] = -2.94116160724454;
   fWeightMatrix0to1[5][18] = 5.68458806260648;
   fWeightMatrix0to1[6][18] = 1.79760477009411;
   fWeightMatrix0to1[7][18] = -2.23929762955058;
   fWeightMatrix0to1[8][18] = 3.05323848360804;
   fWeightMatrix0to1[9][18] = -0.752482202447016;
   fWeightMatrix0to1[10][18] = 0.431316935045768;
   fWeightMatrix0to1[11][18] = 3.9966014381888;
   fWeightMatrix0to1[12][18] = 5.069100963765;
   fWeightMatrix0to1[13][18] = -5.09624214240224;
   fWeightMatrix0to1[14][18] = -4.0095904269384;
   fWeightMatrix0to1[15][18] = -1.8568546620298;
   fWeightMatrix0to1[16][18] = -1.88309564482035;
   fWeightMatrix0to1[17][18] = -2.68803298483604;
   fWeightMatrix0to1[18][18] = 4.7193622829391;
   fWeightMatrix0to1[19][18] = 0.223239787140446;
   fWeightMatrix0to1[20][18] = 0.93540399792323;
   fWeightMatrix0to1[21][18] = -4.9592236727521;
   fWeightMatrix0to1[22][18] = 0.187597012649713;
   fWeightMatrix0to1[23][18] = 2.89453457756777;
   fWeightMatrix0to1[24][18] = 1.00756876261573;
   fWeightMatrix0to1[25][18] = -7.57067938099744;
   fWeightMatrix0to1[26][18] = 0.926254886553127;
   fWeightMatrix0to1[27][18] = -1.25494540527284;
   fWeightMatrix0to1[28][18] = -5.90450336849771;
   fWeightMatrix0to1[0][19] = -2.06621154644887;
   fWeightMatrix0to1[1][19] = -1.85086474436682;
   fWeightMatrix0to1[2][19] = 3.86392953338064;
   fWeightMatrix0to1[3][19] = -0.017445580167126;
   fWeightMatrix0to1[4][19] = 3.11480002638038;
   fWeightMatrix0to1[5][19] = -5.73436343984686;
   fWeightMatrix0to1[6][19] = -0.479716909164114;
   fWeightMatrix0to1[7][19] = 2.83324284181729;
   fWeightMatrix0to1[8][19] = -1.99086058040431;
   fWeightMatrix0to1[9][19] = -1.57288426465632;
   fWeightMatrix0to1[10][19] = -0.78484068059928;
   fWeightMatrix0to1[11][19] = -4.00226111370537;
   fWeightMatrix0to1[12][19] = -5.09800561620111;
   fWeightMatrix0to1[13][19] = 5.44432046963268;
   fWeightMatrix0to1[14][19] = 3.36089742207859;
   fWeightMatrix0to1[15][19] = 1.73788508494781;
   fWeightMatrix0to1[16][19] = -0.936720771252078;
   fWeightMatrix0to1[17][19] = -1.76003094180164;
   fWeightMatrix0to1[18][19] = -7.09948235197965;
   fWeightMatrix0to1[19][19] = 6.87090198756477;
   fWeightMatrix0to1[20][19] = -1.33292537879777;
   fWeightMatrix0to1[21][19] = 1.88477428569378;
   fWeightMatrix0to1[22][19] = 1.15487547739702;
   fWeightMatrix0to1[23][19] = -3.93758957923599;
   fWeightMatrix0to1[24][19] = -1.4123824115424;
   fWeightMatrix0to1[25][19] = 7.66010903453526;
   fWeightMatrix0to1[26][19] = -2.63279057120581;
   fWeightMatrix0to1[27][19] = 1.02303845148059;
   fWeightMatrix0to1[28][19] = 5.98687722974848;
   fWeightMatrix0to1[0][20] = -4.60860508181032;
   fWeightMatrix0to1[1][20] = -0.000184592299494217;
   fWeightMatrix0to1[2][20] = 0.62744933016864;
   fWeightMatrix0to1[3][20] = -15.5857506385396;
   fWeightMatrix0to1[4][20] = 3.97241482651659;
   fWeightMatrix0to1[5][20] = -0.282082967884229;
   fWeightMatrix0to1[6][20] = 0.0108611060200319;
   fWeightMatrix0to1[7][20] = 0.737752816728355;
   fWeightMatrix0to1[8][20] = -5.60931194452089;
   fWeightMatrix0to1[9][20] = -3.62184924091531;
   fWeightMatrix0to1[10][20] = -3.36391107584076;
   fWeightMatrix0to1[11][20] = -1.90006503699277;
   fWeightMatrix0to1[12][20] = -5.20900343605371;
   fWeightMatrix0to1[13][20] = 3.45550255785854;
   fWeightMatrix0to1[14][20] = -8.70919187764137;
   fWeightMatrix0to1[15][20] = -2.96605130001095;
   fWeightMatrix0to1[16][20] = 0.81485571368599;
   fWeightMatrix0to1[17][20] = -1.98491740237028;
   fWeightMatrix0to1[18][20] = -14.3364847448088;
   fWeightMatrix0to1[19][20] = 0.257452041963969;
   fWeightMatrix0to1[20][20] = -1.61727923520118;
   fWeightMatrix0to1[21][20] = 15.1667512514857;
   fWeightMatrix0to1[22][20] = 1.24056944142037;
   fWeightMatrix0to1[23][20] = -5.00542667119857;
   fWeightMatrix0to1[24][20] = -2.57842798667933;
   fWeightMatrix0to1[25][20] = -4.32838529980532;
   fWeightMatrix0to1[26][20] = 1.06125931382085;
   fWeightMatrix0to1[27][20] = -0.165987993279784;
   fWeightMatrix0to1[28][20] = 12.8113351989803;
   fWeightMatrix0to1[0][21] = -7.16481713945784;
   fWeightMatrix0to1[1][21] = -3.90806565200469;
   fWeightMatrix0to1[2][21] = -2.68307399011467;
   fWeightMatrix0to1[3][21] = -0.763998895716187;
   fWeightMatrix0to1[4][21] = -2.53103359279129;
   fWeightMatrix0to1[5][21] = 7.89017117702161;
   fWeightMatrix0to1[6][21] = 0.693583158780245;
   fWeightMatrix0to1[7][21] = 0.778661575020737;
   fWeightMatrix0to1[8][21] = 1.57113993818261;
   fWeightMatrix0to1[9][21] = -0.831876774191616;
   fWeightMatrix0to1[10][21] = -1.43369349212793;
   fWeightMatrix0to1[11][21] = 0.268195004555283;
   fWeightMatrix0to1[12][21] = 3.38390137831394;
   fWeightMatrix0to1[13][21] = 2.76675269397985;
   fWeightMatrix0to1[14][21] = 0.654814906693266;
   fWeightMatrix0to1[15][21] = -6.62171487040407;
   fWeightMatrix0to1[16][21] = -2.14754767794888;
   fWeightMatrix0to1[17][21] = -4.46000256747535;
   fWeightMatrix0to1[18][21] = -4.21781974787651;
   fWeightMatrix0to1[19][21] = -14.5172750093364;
   fWeightMatrix0to1[20][21] = 0.119961456470065;
   fWeightMatrix0to1[21][21] = 2.47291597832192;
   fWeightMatrix0to1[22][21] = -0.246710744033643;
   fWeightMatrix0to1[23][21] = 3.48232067184881;
   fWeightMatrix0to1[24][21] = -2.55101074940489;
   fWeightMatrix0to1[25][21] = -8.02073680867987;
   fWeightMatrix0to1[26][21] = 0.700773283839066;
   fWeightMatrix0to1[27][21] = 1.79468960107642;
   fWeightMatrix0to1[28][21] = -1.90153527064639;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = -0.691927038485007;
   fWeightMatrix1to2[0][1] = -0.45981905551422;
   fWeightMatrix1to2[0][2] = -0.360220102454866;
   fWeightMatrix1to2[0][3] = 0.651182346360324;
   fWeightMatrix1to2[0][4] = -0.870738950910936;
   fWeightMatrix1to2[0][5] = 0.461770863578248;
   fWeightMatrix1to2[0][6] = -0.879758559669337;
   fWeightMatrix1to2[0][7] = -0.678947711528547;
   fWeightMatrix1to2[0][8] = 0.575480398607031;
   fWeightMatrix1to2[0][9] = 0.219336214289424;
   fWeightMatrix1to2[0][10] = 0.386295111196418;
   fWeightMatrix1to2[0][11] = 0.869144520641793;
   fWeightMatrix1to2[0][12] = 0.61662449588911;
   fWeightMatrix1to2[0][13] = -0.399397309579037;
   fWeightMatrix1to2[0][14] = -0.570507499185519;
   fWeightMatrix1to2[0][15] = -0.818098758437862;
   fWeightMatrix1to2[0][16] = -0.959077805986928;
   fWeightMatrix1to2[0][17] = 0.537322638580899;
   fWeightMatrix1to2[0][18] = 0.501603424593071;
   fWeightMatrix1to2[0][19] = -0.923631233697667;
   fWeightMatrix1to2[0][20] = 0.442130711265534;
   fWeightMatrix1to2[0][21] = -0.992203175992899;
   fWeightMatrix1to2[0][22] = -1.83331469221935;
   fWeightMatrix1to2[0][23] = 0.732611083694696;
   fWeightMatrix1to2[0][24] = -0.587011218719591;
   fWeightMatrix1to2[0][25] = -1.08092030536511;
   fWeightMatrix1to2[0][26] = 0.751703768000401;
   fWeightMatrix1to2[0][27] = -1.16450422399429;
   fWeightMatrix1to2[0][28] = -0.516029804457599;
   fWeightMatrix1to2[0][29] = -3.14797403621185;
}

inline double ReadPion_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 ReadPion_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadPion_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadPion_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadPion_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 ReadPion_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4699438.5;
   fMin_1[1][0] = 208.649993896;
   fMax_1[1][0] = 4970293.5;
   fMin_1[2][0] = 172.490005493;
   fMax_1[2][0] = 4970293.5;
   fMin_1[0][1] = 0.832938909531;
   fMax_1[0][1] = 945470.625;
   fMin_1[1][1] = 8.4846162796;
   fMax_1[1][1] = 995273.875;
   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] = 0.00537811685354;
   fMax_1[1][2] = 2.99677228928;
   fMin_1[2][2] = 0.00302399252541;
   fMax_1[2][2] = 2.999573946;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 26;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 28;
   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] = -50.1410293579;
   fMax_1[1][4] = -0.326956540346;
   fMin_1[2][4] = -99.6241531372;
   fMax_1[2][4] = -0.319228202105;
   fMin_1[0][5] = 0.0595433376729;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0317582078278;
   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] = 4999.17285156;
   fMin_1[1][6] = -999;
   fMax_1[1][6] = 4999.73632812;
   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] = 0.000172009458765;
   fMax_1[1][7] = 47.9090538025;
   fMin_1[2][7] = 2.50487555604e-05;
   fMax_1[2][7] = 51.0802001953;
   fMin_1[0][8] = 1;
   fMax_1[0][8] = 23;
   fMin_1[1][8] = 1;
   fMax_1[1][8] = 24;
   fMin_1[2][8] = 1;
   fMax_1[2][8] = 24;
   fMin_1[0][9] = 0;
   fMax_1[0][9] = 1;
   fMin_1[1][9] = 0;
   fMax_1[1][9] = 1;
   fMin_1[2][9] = 0;
   fMax_1[2][9] = 1;
   fMin_1[0][10] = 0;
   fMax_1[0][10] = 1;
   fMin_1[1][10] = 0;
   fMax_1[1][10] = 1;
   fMin_1[2][10] = 0;
   fMax_1[2][10] = 1;
   fMin_1[0][11] = 0;
   fMax_1[0][11] = 1;
   fMin_1[1][11] = 0;
   fMax_1[1][11] = 1;
   fMin_1[2][11] = 0;
   fMax_1[2][11] = 1;
   fMin_1[0][12] = 0;
   fMax_1[0][12] = 1;
   fMin_1[1][12] = 0;
   fMax_1[1][12] = 1;
   fMin_1[2][12] = 0;
   fMax_1[2][12] = 1;
   fMin_1[0][13] = -999;
   fMax_1[0][13] = 107.511299133;
   fMin_1[1][13] = -999;
   fMax_1[1][13] = 63.3391990662;
   fMin_1[2][13] = -999;
   fMax_1[2][13] = 107.511299133;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 62.9558982849;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 69.573600769;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 69.573600769;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 99.5278015137;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 96.6315994263;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 99.5278015137;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 54.5975990295;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 62.6166000366;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 62.6166000366;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 46.5424995422;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 47.8530006409;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 47.8530006409;
   fMin_1[0][18] = 0;
   fMax_1[0][18] = 1;
   fMin_1[1][18] = 0;
   fMax_1[1][18] = 1;
   fMin_1[2][18] = 0;
   fMax_1[2][18] = 1;
   fMin_1[0][19] = -999;
   fMax_1[0][19] = 4.79148387909;
   fMin_1[1][19] = -999;
   fMax_1[1][19] = 4.79148387909;
   fMin_1[2][19] = -999;
   fMax_1[2][19] = 4.79148387909;
   fMin_1[0][20] = 0.486891388893;
   fMax_1[0][20] = 5.4943819046;
   fMin_1[1][20] = 0.522471904755;
   fMax_1[1][20] = 2.42626404762;
   fMin_1[2][20] = 0.486891388893;
   fMax_1[2][20] = 5.4943819046;
}

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

   // get indices of used variables

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

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

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

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

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