#include <TFCS1DFunctionHistogram.h>

Inheritance diagram for TFCS1DFunctionHistogram:

Collaboration diagram for TFCS1DFunctionHistogram:

Public Member Functions
	TFCS1DFunctionHistogram ()

	TFCS1DFunctionHistogram (TH1 *hist, double)

void	Initialize (TH1 *hist, double)

virtual double	rnd_to_fct (double rnd) const
	Function gets random number rnd in the range [0,1) as argument and returns function value. More...

TH1 *	vector_to_histo ()

double	get_inverse (double rnd) const

void	smart_rebin_loop (TH1 *hist, double)

double	sample_from_histovalues (double)

const std::vector< float > &	get_HistoBorders ()

const std::vector< float > &	get_HistoContents ()

virtual void	rnd_to_fct (float value[], const float rnd[]) const
	Function gets array of random numbers rnd[] in the range [0,1) as arguments and returns function value in array value. More...

virtual double	rnd_to_fct (double rnd) const=0
	Function gets random number rnd in the range [0,1) as argument and returns function value. More...

virtual int	ndim () const
	Return the number of dimensions for the function. More...

virtual void	rnd_to_fct (float value[], const float rnd[]) const
	Function gets array of random numbers rnd[] in the range [0,1) as arguments and returns function value in array value. More...

virtual bool	operator== (const TFCS1DFunction &ref) const
	The == operator compares the content of instances. More...

virtual std::size_t	MemorySize () const
	Gives the total memory size, including the size of additional memory allocated inside the class. More...

bool	msgLvl (const MSG::Level lvl) const
	Check whether the logging system is active at the provided verbosity level. More...

MsgStream &	msg () const
	Return a stream for sending messages directly (no decoration) More...

MsgStream &	msg (const MSG::Level lvl) const
	Return a decorated starting stream for sending messages. More...

MSG::Level	level () const
	Retrieve output level. More...

virtual void	setLevel (MSG::Level lvl)
	Update outputlevel. More...

Static Public Member Functions
static double	linear (double y1, double y2, double x1, double x2, double x)

static double	non_linear (double y1, double y2, double x1, double x2, double x)

static double	get_maxdev (TH1 , TH1D )

static double	get_change (TH1 *)

static TH1D *	smart_rebin (TH1D *)

static std::unique_ptr< double[]>	histo_to_array (TH1 *)

static double	sample_from_histo (TH1 *hist, double)

static double	get_maxdev (TH1 , TH1 )

static double	CheckAndIntegrate1DHistogram (const TH1 *hist, std::vector< double > &integral_vec, int &first, int &last)

static TH1 *generate_histogram_random_slope	ATLAS_NOT_THREAD_SAFE (int nbinsx=50, double xmin=0, double xmax=1, double zerothreshold=0.1)

static TH1 *generate_histogram_random_gauss	ATLAS_NOT_THREAD_SAFE (int nbinsx=50, int ntoy=100000, double xmin=1, double xmax=5, double xpeak=1.5, double sigma=0.6)

static void unit_test	ATLAS_NOT_THREAD_SAFE (TH1 hist, TFCS1DFunction rtof, int nrnd=1000000, TH1 *histfine=nullptr)

static std::string	startMsg (MSG::Level lvl, const std::string &file, int line)
	Make a message to decorate the start of logging. More...

Protected Attributes
std::vector< float >	m_HistoBorders

std::vector< float >	m_HistoContents

Private Attributes
std::string	m_nm
	Message source name. More...

Static Private Attributes
static boost::thread_specific_ptr< MsgStream > m_msg_tls	ATLAS_THREAD_SAFE
	Do not persistify! More...

Detailed Description

Definition at line 13 of file TFCS1DFunctionHistogram.h.

Constructor & Destructor Documentation

◆ TFCS1DFunctionHistogram() [1/2]

TFCS1DFunctionHistogram::TFCS1DFunctionHistogram ( )

inline

Definition at line 16 of file TFCS1DFunctionHistogram.h.

16 {};

◆ TFCS1DFunctionHistogram() [2/2]

TFCS1DFunctionHistogram::TFCS1DFunctionHistogram	(	TH1 *	hist,
		double	cut_maxdev
	)

Definition at line 16 of file TFCS1DFunctionHistogram.cxx.

                                                                              {
   Initialize(hist, cut_maxdev);
 }

Member Function Documentation

◆ ATLAS_NOT_THREAD_SAFE() [1/3]

static TH1* generate_histogram_random_slope TFCS1DFunction::ATLAS_NOT_THREAD_SAFE	(	int	nbinsx = `50`,
		double	xmin = `0`,
		double	xmax = `1`,
		double	zerothreshold = `0.1`
	)

staticinherited

◆ ATLAS_NOT_THREAD_SAFE() [2/3]

static TH1* generate_histogram_random_gauss TFCS1DFunction::ATLAS_NOT_THREAD_SAFE	(	int	nbinsx = `50`,
		int	ntoy = `100000`,
		double	xmin = `1`,
		double	xmax = `5`,
		double	xpeak = `1.5`,
		double	sigma = `0.6`
	)

staticinherited

◆ ATLAS_NOT_THREAD_SAFE() [3/3]

static void unit_test TFCS1DFunction::ATLAS_NOT_THREAD_SAFE	(	TH1 *	hist,
		TFCS1DFunction *	rtof,
		int	nrnd = `1000000`,
		TH1 *	histfine = `nullptr`
	)

staticinherited

◆ CheckAndIntegrate1DHistogram()

double TFCS1DFunction::CheckAndIntegrate1DHistogram	(	const TH1 *	hist,
		std::vector< double > &	integral_vec,
		int &	first,
		int &	last
	)

staticinherited

Definition at line 52 of file TFCS1DFunction.cxx.

                                                                              {
   ISF_FCS::MLogging logger;
   Int_t nbins = hist->GetNbinsX();
  
   float integral = 0;
   integral_vec.resize(nbins);
   for (int ix = 1; ix <= nbins; ix++) {
     float binval = hist->GetBinContent(ix);
     if (binval < 0) {
       // Can't work if a bin is negative, forcing bins to 0 in this case
       double fraction = binval / hist->Integral();
       if (TMath::Abs(fraction) > 1e-5) {
         ATH_MSG_NOCLASS(logger, "Warning: bin content is negative in histogram "
                                     << hist->GetName() << " : "
                                     << hist->GetTitle() << " binval=" << binval
                                     << " " << fraction * 100
                                     << "% of integral=" << hist->Integral()
                                     << ". Forcing bin to 0.");
       }
       binval = 0;
     }
     integral += binval;
     integral_vec[ix - 1] = integral;
   }
  
   for (first = 0; first < nbins; first++)
     if (integral_vec[first] != 0)
       break;
   for (last = nbins - 1; last > 0; last--)
     if (integral_vec[last] != integral)
       break;
   last++;
  
   if (integral <= 0) {
     ATH_MSG_NOCLASS(logger, "Error: histogram "
                                 << hist->GetName() << " : " << hist->GetTitle()
                                 << " integral=" << integral << " is <=0");
   }
   return integral;
 }

◆ get_change()

double TFCS1DFunctionHistogram::get_change ( TH1 * histo )

static

Definition at line 151 of file TFCS1DFunctionHistogram.cxx.

                                                      {
   // return the smallest change between 2 bin contents, but don't check the last
   // bin, because that one never gets merged
   double minchange = 100.0;
   for (int b = 2; b < histo->GetNbinsX(); b++) {
     double diff = histo->GetBinContent(b) - histo->GetBinContent(b - 1);
     if (diff < minchange && diff > 0)
       minchange = diff;
   }
  
   return minchange;
 }

◆ get_HistoBorders()

const std::vector<float>& TFCS1DFunctionHistogram::get_HistoBorders ( )

inline

Definition at line 37 of file TFCS1DFunctionHistogram.h.

37 { return m_HistoBorders; };

◆ get_HistoContents()

const std::vector<float>& TFCS1DFunctionHistogram::get_HistoContents ( )

inline

Definition at line 38 of file TFCS1DFunctionHistogram.h.

38 { return m_HistoContents; };

◆ get_inverse()

double TFCS1DFunctionHistogram::get_inverse ( double rnd ) const

Definition at line 260 of file TFCS1DFunctionHistogram.cxx.

                                                             {
  
   double value = 0.;
  
   if (rnd < m_HistoContents[0]) {
     double x1 = m_HistoBorders[0];
     double x2 = m_HistoBorders[1];
     double y1 = 0;
     double y2 = m_HistoContents[0];
     double x = non_linear(y1, y2, x1, x2, rnd);
     value = x;
   } else {
     // find the first HistoContent element that is larger than rnd:
     vector<float>::const_iterator larger_element =
         std::upper_bound(m_HistoContents.begin(), m_HistoContents.end(), rnd);
     size_t index = larger_element - m_HistoContents.begin();
     if (index >= m_HistoContents.size()) {
       --index;
     }
     double y = m_HistoContents[index];
     double x1 = m_HistoBorders[index];
     double x2 = m_HistoBorders[index + 1];
     double y1 = m_HistoContents[index - 1];
     double y2 = y;
     if ((index + 1) == (m_HistoContents.size() - 1)) {
       x2 = m_HistoBorders[m_HistoBorders.size() - 1];
       y2 = m_HistoContents[m_HistoContents.size() - 1];
     }
     double x = non_linear(y1, y2, x1, x2, rnd);
     value = x;
   }
  
   return value;
 }

◆ get_maxdev() [1/2]

double TFCS1DFunction::get_maxdev	(	TH1 *	h_input1,
		TH1 *	h_approx1
	)

staticinherited

Definition at line 21 of file TFCS1DFunction.cxx.

                                                                {
   TH1D *h_input = (TH1D *)h_input1->Clone("h_input");
   TH1D *h_approx = (TH1D *)h_approx1->Clone("h_approx");
  
   double maxdev = 0.0;
  
   // normalize the histos to the same area:
   double integral_input = h_input->Integral();
   double integral_approx = 0.0;
   for (int b = 1; b <= h_input->GetNbinsX(); b++)
     integral_approx +=
         h_approx->GetBinContent(h_approx->FindBin(h_input->GetBinCenter(b)));
   h_approx->Scale(integral_input / integral_approx);
  
   double ymax = h_approx->GetBinContent(h_approx->GetNbinsX()) -
                 h_approx->GetBinContent(h_approx->GetMinimumBin());
   for (int i = 1; i <= h_input->GetNbinsX(); i++) {
     double val = fabs(h_approx->GetBinContent(
                           h_approx->FindBin(h_input->GetBinCenter(i))) -
                       h_input->GetBinContent(i)) /
                  ymax;
     if (val > maxdev)
       maxdev = val;
   }
  
   delete h_input;
   delete h_approx;
  
   return maxdev * 100.0;
 }

◆ get_maxdev() [2/2]

double TFCS1DFunctionHistogram::get_maxdev	(	TH1 *	h_in,
		TH1D *	h_out
	)

static

Definition at line 139 of file TFCS1DFunctionHistogram.cxx.

                                                                  {
  
   double maxdev = 0;
   for (int i = 1; i <= h_in->GetNbinsX(); i++) {
     int bin = h_out->FindBin(h_in->GetBinCenter(i));
     double val = fabs(h_out->GetBinContent(bin) - h_in->GetBinContent(i));
     if (val > maxdev)
       maxdev = val;
   }
   return maxdev;
 }

◆ histo_to_array()

std::unique_ptr< double[]> TFCS1DFunctionHistogram::histo_to_array ( TH1 * hist )

static

Definition at line 25 of file TFCS1DFunctionHistogram.cxx.

                                                  {
  
   TH1D *h_clone = (TH1D *)hist->Clone("h_clone");
   h_clone->Scale(1.0 / h_clone->Integral());
  
   auto histoVals = std::make_unique<double[]>(h_clone->GetNbinsX());
   histoVals[0] = h_clone->GetBinContent(1);
   for (int i = 1; i < h_clone->GetNbinsX(); i++) {
     histoVals[i] = histoVals[i - 1] + h_clone->GetBinContent(i + 1);
   }
   delete h_clone;
   return histoVals;
 }

◆ Initialize()

void TFCS1DFunctionHistogram::Initialize	(	TH1 *	hist,
		double	cut_maxdev
	)

Definition at line 20 of file TFCS1DFunctionHistogram.cxx.

                                                                      {
   smart_rebin_loop(hist, cut_maxdev);
 }

◆ level()

MSG::Level ISF_FCS::MLogging::level ( ) const

inlineinherited

Retrieve output level.

Definition at line 201 of file MLogging.h.

201 { return msg().level(); }

◆ linear()

double TFCS1DFunctionHistogram::linear	(	double	y1,
		double	y2,
		double	x1,
		double	x2,
		double	x
	)

static

Definition at line 230 of file TFCS1DFunctionHistogram.cxx.

                                                             {
   double x = -1;
  
   double eps = 0.0000000001;
   if ((y2 - y1) < eps)
     x = x1;
   else {
     double m = (y2 - y1) / (x2 - x1);
     double n = y1 - m * x1;
     x = (y - n) / m;
   }
  
   return x;
 }

◆ MemorySize()

virtual std::size_t TFCSFunction::MemorySize ( ) const

inlinevirtualinherited

Gives the total memory size, including the size of additional memory allocated inside the class.

Reimplemented in TFCS2DFunctionTemplateHistogram< Txvec, Tyvec, Tz, Trandom >, and TFCS1DFunctionTemplateHistogram< Txvec, Ty, Trandom >.

Definition at line 19 of file TFCSFunction.h.

19 { return sizeof(*this); };

◆ msg() [1/2]

MsgStream & ISF_FCS::MLogging::msg ( ) const

inlineinherited

Return a stream for sending messages directly (no decoration)

Definition at line 231 of file MLogging.h.

                                       {
   MsgStream *ms = m_msg_tls.get();
   if (!ms) {
     ms = new MsgStream(Athena::getMessageSvc(), m_nm);
     m_msg_tls.reset(ms);
   }
   return *ms;
 }

◆ msg() [2/2]

MsgStream & ISF_FCS::MLogging::msg ( const MSG::Level lvl ) const

inlineinherited

Return a decorated starting stream for sending messages.

Definition at line 240 of file MLogging.h.

                                                         {
   return msg() << lvl;
 }

◆ msgLvl()

bool ISF_FCS::MLogging::msgLvl ( const MSG::Level lvl ) const

inlineinherited

Check whether the logging system is active at the provided verbosity level.

Definition at line 222 of file MLogging.h.

                                                      {
   if (msg().level() <= lvl) {
     msg() << lvl;
     return true;
   } else {
     return false;
   }
 }

◆ ndim()

virtual int TFCS1DFunction::ndim ( ) const

inlinevirtualinherited

Return the number of dimensions for the function.

Reimplemented from TFCSFunction.

Definition at line 22 of file TFCS1DFunction.h.

22 { return 1; };

◆ non_linear()

double TFCS1DFunctionHistogram::non_linear	(	double	y1,
		double	y2,
		double	x1,
		double	x2,
		double	x
	)

static

Definition at line 246 of file TFCS1DFunctionHistogram.cxx.

                                                                 {
   double x = -1;
   double eps = 0.0000000001;
   if ((y2 - y1) < eps)
     x = x1;
   else {
     double b = (x1 - x2) / (sqrt(y1) - sqrt(y2));
     double a = x1 - b * sqrt(y1);
     x = a + b * sqrt(y);
   }
   return x;
 }

◆ operator==()

virtual bool TFCS1DFunction::operator== ( const TFCS1DFunction & ref ) const

inlinevirtualinherited

The == operator compares the content of instances.

The implementation in the base class only returns true for a comparison with itself

Reimplemented in TFCS1DFunctionInt32Histogram.

Definition at line 36 of file TFCS1DFunction.h.

                                                            {
     return this == &ref;
   };

◆ rnd_to_fct() [1/4]

double TFCS1DFunctionHistogram::rnd_to_fct ( double rnd ) const

virtual

Function gets random number rnd in the range [0,1) as argument and returns function value.

Implements TFCS1DFunction.

Definition at line 223 of file TFCS1DFunctionHistogram.cxx.

                                                            {
  
   double value2 = get_inverse(rnd);
  
   return value2;
 }

◆ rnd_to_fct() [2/4]

virtual double TFCS1DFunction::rnd_to_fct

Function gets random number rnd in the range [0,1) as argument and returns function value.

◆ rnd_to_fct() [3/4]

void TFCS1DFunction::rnd_to_fct

Function gets array of random numbers rnd[] in the range [0,1) as arguments and returns function value in array value.

For a n-dimensional function, value and rnd should both have n elements.

Definition at line 27 of file TFCS1DFunction.cxx.

                                                                       {
   value[0] = rnd_to_fct(rnd[0]);
 }

◆ rnd_to_fct() [4/4]

void TFCS1DFunction::rnd_to_fct	(	float	value[],
		const float	rnd[]
	)		const

virtualinherited

Function gets array of random numbers rnd[] in the range [0,1) as arguments and returns function value in array value.

For a n-dimensional function, value and rnd should both have n elements.

Implements TFCSFunction.

Definition at line 17 of file TFCS1DFunction.cxx.

                                                                       {
   value[0] = rnd_to_fct(rnd[0]);
 }

◆ sample_from_histo()

double TFCS1DFunctionHistogram::sample_from_histo	(	TH1 *	hist,
		double	random
	)

static

Definition at line 39 of file TFCS1DFunctionHistogram.cxx.

                                                                           {
  
   auto histoVals = histo_to_array(hist);
   double value = 0.0;
   int chosenBin =
       (int)TMath::BinarySearch(hist->GetNbinsX(), histoVals.get(), random);
   value = hist->GetBinCenter(chosenBin + 2);
  
   // cleanup
  
   return value;
 }

◆ sample_from_histovalues()

double TFCS1DFunctionHistogram::sample_from_histovalues ( double random )

Definition at line 52 of file TFCS1DFunctionHistogram.cxx.

                                                                      {
   double value = 0.0;
  
   TH1 *hist = vector_to_histo();
   hist->SetName("hist");
   auto histoVals = histo_to_array(hist);
   int chosenBin =
       (int)TMath::BinarySearch(hist->GetNbinsX(), histoVals.get(), random);
   value = hist->GetBinCenter(chosenBin + 2);
  
   return value;
 }

◆ setLevel()

void ISF_FCS::MLogging::setLevel ( MSG::Level lvl )

virtualinherited

Update outputlevel.

Definition at line 105 of file MLogging.cxx.

                                     {
   lvl = (lvl >= MSG::NUM_LEVELS) ? MSG::ALWAYS
         : (lvl < MSG::NIL)       ? MSG::NIL
                                  : lvl;
   msg().setLevel(lvl);
 }

◆ smart_rebin()

TH1D * TFCS1DFunctionHistogram::smart_rebin ( TH1D * h_input )

static

Definition at line 164 of file TFCS1DFunctionHistogram.cxx.

                                                         {
  
   TH1D *h_out1 = (TH1D *)h_input->Clone("h_out1");
  
   // get the smallest change
   double change = get_change(h_out1) * 1.00001;
  
   vector<double> content;
   vector<double> binborder;
  
   binborder.push_back(h_out1->GetXaxis()->GetXmin());
  
   int merged = 0;
   int skip = 0;
   int secondlastbin_merge = 0;
   for (int b = 1; b < h_out1->GetNbinsX() - 1; b++) // never touch the last bin
   {
     double thisBin = h_out1->GetBinContent(b);
     double nextBin = h_out1->GetBinContent(b + 1);
     double width = h_out1->GetBinWidth(b);
     double nextwidth = h_out1->GetBinWidth(b + 1);
     double diff = fabs(nextBin - thisBin);
     if (!skip && (diff > change || merged)) {
       binborder.push_back(h_out1->GetBinLowEdge(b + 1));
       content.push_back(thisBin);
     }
     skip = 0;
     if (diff <= change && !merged) {
       double sum = thisBin * width + nextBin * nextwidth;
       double sumwidth = width + nextwidth;
       binborder.push_back(h_out1->GetBinLowEdge(b + 2));
       content.push_back(sum / sumwidth);
       merged = 1;
       skip = 1;
       if (b == (h_out1->GetNbinsX() - 2))
         secondlastbin_merge = 1;
     }
   } // for b
   if (!secondlastbin_merge) {
     binborder.push_back(h_out1->GetBinLowEdge(h_out1->GetNbinsX()));
     content.push_back(h_out1->GetBinContent(h_out1->GetNbinsX() - 1));
   }
   binborder.push_back(h_out1->GetXaxis()->GetXmax());
   content.push_back(h_out1->GetBinContent(h_out1->GetNbinsX()));
  
   double *bins = new double[content.size() + 1];
   for (unsigned int i = 0; i < binborder.size(); i++)
     bins[i] = binborder[i];
  
   TH1D *h_out2 = new TH1D("h_out2", "h_out2", content.size(), bins);
   for (unsigned int b = 1; b <= content.size(); b++)
     h_out2->SetBinContent(b, content[b - 1]);
  
   delete[] bins;
   delete h_out1;
  
   return h_out2;
 }

◆ smart_rebin_loop()

void TFCS1DFunctionHistogram::smart_rebin_loop	(	TH1 *	hist,
		double	cut_maxdev
	)

Definition at line 80 of file TFCS1DFunctionHistogram.cxx.

                                                                            {
  
   m_HistoContents.clear();
   m_HistoBorders.clear();
  
   double change =
       get_change(hist) * 1.000001; // increase slighlty for comparison of floats
  
   double maxdev = -1;
  
   TH1D *h_input = (TH1D *)hist->Clone("h_input");
   TH1D *h_output = nullptr;
  
   int i = 0;
   while (1) {
  
     TH1D *h_out;
     if (i == 0) {
       h_out = (TH1D *)h_input->Clone("h_out");
     } else {
       h_out = smart_rebin(h_input);
       h_out->SetName("h_out");
     }
  
     maxdev = get_maxdev(hist, h_out);
     maxdev *= 100.0;
  
     if (i % 100 == 0)
       ATH_MSG_INFO("Iteration nr. " << i << " -----> change " << change
                                     << " bins " << h_out->GetNbinsX()
                                     << " -> maxdev=" << maxdev);
  
     if (maxdev < cut_maxdev && h_out->GetNbinsX() > 5 && i < 1000) {
       delete h_input;
       h_input = (TH1D *)h_out->Clone("h_input");
       change = get_change(h_input) * 1.000001;
       delete h_out;
       i++;
     } else {
       h_output = (TH1D *)h_input->Clone("h_output");
       delete h_out;
       break;
     }
   }
  
   ATH_MSG_INFO("Info: Rebinned histogram has " << h_output->GetNbinsX()
                                                << " bins.");
  
   // store:
  
   for (int b = 1; b <= h_output->GetNbinsX(); b++)
     m_HistoBorders.push_back((float)h_output->GetBinLowEdge(b));
   m_HistoBorders.push_back((float)h_output->GetXaxis()->GetXmax());
  
   for (int b = 1; b < h_output->GetNbinsX(); b++)
     m_HistoContents.push_back(h_output->GetBinContent(b));
   m_HistoContents.push_back(1);
 }

◆ startMsg()

std::string ISF_FCS::MLogging::startMsg	(	MSG::Level	lvl,
		const std::string &	file,
		int	line
	)

staticinherited

Make a message to decorate the start of logging.

Print a message for the start of logging.

Definition at line 116 of file MLogging.cxx.

                                                                           {
   int col1_len = 20;
   int col2_len = 5;
   int col3_len = 10;
   auto last_slash = file.find_last_of('/');
   int path_len = last_slash == std::string::npos ? 0 : last_slash;
   int trim_point = path_len;
   int total_len = file.length();
   if (total_len - path_len > col1_len)
     trim_point = total_len - col1_len;
   std::string trimmed_name = file.substr(trim_point);
   const char *LevelNames[MSG::NUM_LEVELS] = {
       "NIL", "VERBOSE", "DEBUG", "INFO", "WARNING", "ERROR", "FATAL", "ALWAYS"};
   std::string level = LevelNames[lvl];
   std::string level_string = std::string("(") + level + ") ";
   std::stringstream output;
   output << std::setw(col1_len) << std::right << trimmed_name << ":"
          << std::setw(col2_len) << std::left << line << std::setw(col3_len)
          << std::right << level_string;
   return output.str();
 }

◆ vector_to_histo()

TH1 * TFCS1DFunctionHistogram::vector_to_histo ( )

Definition at line 65 of file TFCS1DFunctionHistogram.cxx.

                                               {
  
   double *bins = new double[m_HistoBorders.size()];
   for (unsigned int i = 0; i < m_HistoBorders.size(); i++)
     bins[i] = m_HistoBorders[i];
  
   TH1 *h_out = new TH1D("h_out", "h_out", m_HistoBorders.size() - 1, bins);
   for (int b = 1; b <= h_out->GetNbinsX(); b++)
     h_out->SetBinContent(b, m_HistoContents[b - 1]);
  
   delete[] bins;
  
   return h_out;
 }

Member Data Documentation

◆ ATLAS_THREAD_SAFE

boost::thread_specific_ptr<MsgStream> m_msg_tls ISF_FCS::MLogging::ATLAS_THREAD_SAFE

inlinestaticprivateinherited

Do not persistify!

MsgStream instance (a std::cout like with print-out levels)

Definition at line 215 of file MLogging.h.

◆ m_HistoBorders

std::vector<float> TFCS1DFunctionHistogram::m_HistoBorders

protected

Definition at line 41 of file TFCS1DFunctionHistogram.h.

◆ m_HistoContents

std::vector<float> TFCS1DFunctionHistogram::m_HistoContents

protected

Definition at line 42 of file TFCS1DFunctionHistogram.h.

◆ m_nm

std::string ISF_FCS::MLogging::m_nm

privateinherited

Message source name.

Definition at line 211 of file MLogging.h.

The documentation for this class was generated from the following files:

Public Member Functions

Static Public Member Functions

Protected Attributes

Private Attributes

Static Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ TFCS1DFunctionHistogram() [1/2]

◆ TFCS1DFunctionHistogram() [2/2]

Member Function Documentation

◆ ATLAS_NOT_THREAD_SAFE() [1/3]

◆ ATLAS_NOT_THREAD_SAFE() [2/3]

◆ ATLAS_NOT_THREAD_SAFE() [3/3]

◆ CheckAndIntegrate1DHistogram()

◆ get_change()

◆ get_HistoBorders()

◆ get_HistoContents()

◆ get_inverse()

◆ get_maxdev() [1/2]

◆ get_maxdev() [2/2]

◆ histo_to_array()

◆ Initialize()

◆ level()

◆ linear()

◆ MemorySize()

◆ msg() [1/2]

◆ msg() [2/2]

◆ msgLvl()

◆ ndim()

◆ non_linear()

◆ operator==()

◆ rnd_to_fct() [1/4]

◆ rnd_to_fct() [2/4]

◆ rnd_to_fct() [3/4]

◆ rnd_to_fct() [4/4]

◆ sample_from_histo()

◆ sample_from_histovalues()

◆ setLevel()

◆ smart_rebin()

◆ smart_rebin_loop()

◆ startMsg()

◆ vector_to_histo()

Member Data Documentation

◆ ATLAS_THREAD_SAFE

◆ m_HistoBorders

◆ m_HistoContents

◆ m_nm