CDCTriggerNeuroDQMOnlineModule Class Reference

CDC Trigger DQM Module. More...

#include <CDCTriggerNeuroDQMOnlineModule.h>

Inheritance diagram for CDCTriggerNeuroDQMOnlineModule:

Classes
struct	TSLine

Public Types
enum	EModulePropFlags {   c_Input = 1 ,   c_Output = 2 ,   c_ParallelProcessingCertified = 4 ,   c_HistogramManager = 8 ,   c_InternalSerializer = 16 ,   c_TerminateInAllProcesses = 32 ,   c_DontCollectStatistics = 64 }
	Each module can be tagged with property flags, which indicate certain features of the module. More...
typedef ModuleCondition::EAfterConditionPath	EAfterConditionPath
	Forward the EAfterConditionPath definition from the ModuleCondition.

Public Member Functions
	CDCTriggerNeuroDQMOnlineModule ()
	Constructor.
virtual	~CDCTriggerNeuroDQMOnlineModule ()
	Destructor.
virtual std::vector< std::string >	getFileNames (bool outputFiles)
	Return a list of output filenames for this modules.
const std::string &	getName () const
	Returns the name of the module.
const std::string &	getType () const
	Returns the type of the module (i.e.
const std::string &	getPackage () const
	Returns the package this module is in.
const std::string &	getDescription () const
	Returns the description of the module.
void	setName (const std::string &name)
	Set the name of the module.
void	setPropertyFlags (unsigned int propertyFlags)
	Sets the flags for the module properties.
LogConfig &	getLogConfig ()
	Returns the log system configuration.
void	setLogConfig (const LogConfig &logConfig)
	Set the log system configuration.
void	setLogLevel (int logLevel)
	Configure the log level.
void	setDebugLevel (int debugLevel)
	Configure the debug messaging level.
void	setAbortLevel (int abortLevel)
	Configure the abort log level.
void	setLogInfo (int logLevel, unsigned int logInfo)
	Configure the printed log information for the given level.
void	if_value (const std::string &expression, const std::shared_ptr< Path > &path, EAfterConditionPath afterConditionPath=EAfterConditionPath::c_End)
	Add a condition to the module.
void	if_false (const std::shared_ptr< Path > &path, EAfterConditionPath afterConditionPath=EAfterConditionPath::c_End)
	A simplified version to add a condition to the module.
void	if_true (const std::shared_ptr< Path > &path, EAfterConditionPath afterConditionPath=EAfterConditionPath::c_End)
	A simplified version to set the condition of the module.
bool	hasCondition () const
	Returns true if at least one condition was set for the module.
const ModuleCondition *	getCondition () const
	Return a pointer to the first condition (or nullptr, if none was set)
const std::vector< ModuleCondition > &	getAllConditions () const
	Return all set conditions for this module.
bool	evalCondition () const
	If at least one condition was set, it is evaluated and true returned if at least one condition returns true.
std::shared_ptr< Path >	getConditionPath () const
	Returns the path of the last true condition (if there is at least one, else reaturn a null pointer).
Module::EAfterConditionPath	getAfterConditionPath () const
	What to do after the conditional path is finished.
std::vector< std::shared_ptr< Path > >	getAllConditionPaths () const
	Return all condition paths currently set (no matter if the condition is true or not).
bool	hasProperties (unsigned int propertyFlags) const
	Returns true if all specified property flags are available in this module.
bool	hasUnsetForcedParams () const
	Returns true and prints error message if the module has unset parameters which the user has to set in the steering file.
const ModuleParamList &	getParamList () const
	Return module param list.
template<typename T>
ModuleParam< T > &	getParam (const std::string &name) const
	Returns a reference to a parameter.
bool	hasReturnValue () const
	Return true if this module has a valid return value set.
int	getReturnValue () const
	Return the return value set by this module.
std::shared_ptr< PathElement >	clone () const override
	Create an independent copy of this module.
std::shared_ptr< boost::python::list >	getParamInfoListPython () const
	Returns a python list of all parameters.

Static Public Member Functions
static void	exposePythonAPI ()
	Exposes methods of the Module class to Python.

Protected Member Functions
virtual void	def_initialize ()
	Wrappers to make the methods without "def_" prefix callable from Python.
virtual void	def_beginRun ()
	Wrapper method for the virtual function beginRun() that has the implementation to be used in a call from Python.
virtual void	def_event ()
	Wrapper method for the virtual function event() that has the implementation to be used in a call from Python.
virtual void	def_endRun ()
	This method can receive that the current run ends as a call from the Python side.
virtual void	def_terminate ()
	Wrapper method for the virtual function terminate() that has the implementation to be used in a call from Python.
void	setDescription (const std::string &description)
	Sets the description of the module.
void	setType (const std::string &type)
	Set the module type.
template<typename T>
void	addParam (const std::string &name, T &paramVariable, const std::string &description, const T &defaultValue)
	Adds a new parameter to the module.
template<typename T>
void	addParam (const std::string &name, T &paramVariable, const std::string &description)
	Adds a new enforced parameter to the module.
void	setReturnValue (int value)
	Sets the return value for this module as integer.
void	setReturnValue (bool value)
	Sets the return value for this module as bool.
void	setParamList (const ModuleParamList &params)
	Replace existing parameter list.

Private Types
typedef std::vector< TSLine >	TSLines

Private Member Functions
void	initialize () override
	Module functions.
void	beginRun () override
	Function to process begin_run record.
void	event () override
	Function to process event record.
void	endRun () override
	Function to process end_run record.
void	terminate () override
	Function to terminate module.
void	fillHWPlots ()
void	fillSimPlots ()
void	makeDebugOutput ()
void	fillRecoPlots ()
void	defineHisto () override
	Histogram definitions such as TH1(), TH2(), TNtuple(), TTree()....
void	condFill (TH1F *histo, float value)
	Fill a histogram only with non-zero values.
unsigned	getPattern (CDCTriggerTrack *track, std::string hitCollectionName)
	get pattern of the track
bool	isValidPattern (unsigned pattern)
	Validity of the pattern.
std::string	padto (std::string s, unsigned l)
std::string	padright (std::string s, unsigned l)
bool	have_relation (const CDCTriggerTrack &track, const CDCTriggerSegmentHit &hit, std::string &arrayname)
void	sorted_insert (TSLines &lines, TSLine &line, std::string &arrayname, std::string &firstsortarray, std::string &secondsortarray)
std::list< ModulePtr >	getModules () const override
	no submodules, return empty list
std::string	getPathString () const override
	return the module name.
void	setParamPython (const std::string &name, const boost::python::object &pyObj)
	Implements a method for setting boost::python objects.
void	setParamPythonDict (const boost::python::dict &dictionary)
	Implements a method for reading the parameter values from a boost::python dictionary.

Private Attributes
std::string	m_histogramDirectoryName
	Name of the histogram directory in ROOT file.
std::string	m_unpackedNeuroInputAllSegmentHitsName
	Name for TS hits from unpacker.
std::string	m_unpacked2DTracksName
	Name for 2D finder tracks from unpacker.
std::string	m_unpackedNeuroTracksName
	Name for neuro tracks from unpacker.
std::string	m_unpackedNeuroInputVectorName
	Name for neuro input vector from unpacker.
std::string	m_unpackedNeuroInput2DTracksName
	Name for neuro input 2d finder tracks.
std::string	m_unpackedNeuroInputSegmentHitsName
	Name for neuro input Track segments.
std::string	m_simNeuroTracksName
	name of the storearray for hwsim tracks
std::string	m_simNeuroInputVectorName
	Name for simulated neuro input vector using HW TS, HW 2D.
std::string	m_recoTracksName
	Name for the RecoTrack array name.
bool	m_useRecoTracks
	Switch to turn on use of recotracks.
bool	m_useSimTracks
	Switch to turn on use of hw sim tracks.
StoreArray< CDCTriggerSegmentHit >	m_unpackedNeuroInputAllSegmentHits
	StoreArray for all TS hits from neuro unpacker.
StoreArray< CDCTriggerTrack >	m_unpacked2DTracks
	StoreArray for 2D finder tracks from unpacker.
StoreArray< CDCTriggerTrack >	m_unpackedNeuroTracks
	StoreArray for neuro tracks from unpacker.
StoreArray< CDCTriggerMLPInput >	m_unpackedNeuroInputVector
	StoreArray for neuro input vector from unpacker.
StoreArray< CDCTriggerTrack >	m_unpackedNeuroInput2DTracks
	StoreArray for neuro input 2dfinder tracks.
StoreArray< CDCTriggerSegmentHit >	m_unpackedNeuroInputSegmentHits
	StoreArray for neuro input Track segments.
StoreArray< CDCTriggerTrack >	m_simNeuroTracks
	StoreArray for neuro tracks from TSIM.
StoreArray< CDCTriggerMLPInput >	m_simNeuroInputVector
	StoreArray for neuro input vector from TSIM.
StoreArray< RecoTrack >	m_RecoTracks
	StoreArray for RecoTracks.
StoreObjPtr< BinnedEventT0 >	m_eventTime
	storeobjpointer for event time
TH1F *	m_neuroHWOutdzall = nullptr
TH1F *	m_neuroHWOutdz0 = nullptr
TH1F *	m_neuroHWOutdz1 = nullptr
TH1F *	m_neuroHWOutdz2 = nullptr
TH1F *	m_neuroHWOutdz3 = nullptr
TH1F *	m_neuroHWSimRecodZ = nullptr
TH1F *	m_neuroHWOutZ = nullptr
TH1F *	m_recoZ = nullptr
TH1F *	m_recoZ_related = nullptr
TH1F *	m_neuroHWOutSTTZ = nullptr
TH1F *	m_neuroHWOutCosTheta = nullptr
TH1F *	m_neuroHWOutPhi0 = nullptr
TH1F *	m_neuroHWOutPt = nullptr
TH1F *	m_neuroHWOutP = nullptr
TH1F *	m_neuroHWOutm_time = nullptr
TH1F *	m_neuroHWValTracksNumber = nullptr
TH1F *	m_neuroHWSector = nullptr
TH1F *	m_neuroHWInTSID = nullptr
TH1F *	m_neuroHWInTSIDSel = nullptr
TH1F *	m_neuroHWInCDCFE = nullptr
TH1F *	m_neuroHWInm_time = nullptr
TH1F *	m_neuroHWIn2DTracksNumber = nullptr
TH1F *	m_neuroHWOutHwSimdZ = nullptr
TH1F *	m_neuroHWSimZ = nullptr
TH1F *	m_neuroHWSimCosTheta = nullptr
TH1F *	m_neuroErrors = nullptr
TH1F *	m_neuroHWValTSCountAx = nullptr
TH1F *	m_neuroHWValTSCountSt = nullptr
unsigned	m_errcount = 0
std::vector< std::string >	m_errdict {"Not All HWTrack ATS in 2DInTrack", "|HW-SW| > 1cm", "Delta Input IDs not all 0", "Delta Input Alphas not all 0", "Drifttime Overflow / Scaling Error", "TS only in HW", "TS only in SW", "Multiple ET per Track", "<4 related Axial TS", "<3 related Stereo TS", "Drift Time diff", "Eventcounter"}
std::string	m_name
	The name of the module, saved as a string (user-modifiable)
std::string	m_type
	The type of the module, saved as a string.
std::string	m_package
	Package this module is found in (may be empty).
std::string	m_description
	The description of the module.
unsigned int	m_propertyFlags
	The properties of the module as bitwise or (with |) of EModulePropFlags.
LogConfig	m_logConfig
	The log system configuration of the module.
ModuleParamList	m_moduleParamList
	List storing and managing all parameter of the module.
bool	m_hasReturnValue
	True, if the return value is set.
int	m_returnValue
	The return value.
std::vector< ModuleCondition >	m_conditions
	Module condition, only non-null if set.

Detailed Description

CDC Trigger DQM Module.

Definition at line 30 of file CDCTriggerNeuroDQMOnlineModule.h.

Member Typedef Documentation

EAfterConditionPath

typedef ModuleCondition::EAfterConditionPath EAfterConditionPath

inherited

Forward the EAfterConditionPath definition from the ModuleCondition.

Definition at line 88 of file Module.h.

TSLines

typedef std::vector<TSLine> TSLines

private

Definition at line 51 of file CDCTriggerNeuroDQMOnlineModule.h.

Member Enumeration Documentation

EModulePropFlags

enum EModulePropFlags

inherited

Each module can be tagged with property flags, which indicate certain features of the module.

Enumerator
c_Input	This module is an input module (reads data).
c_Output	This module is an output module (writes data).
c_ParallelProcessingCertified	This module can be run in parallel processing mode safely (All I/O must be done through the data store, in particular, the module must not write any files.)
c_HistogramManager	This module is used to manage histograms accumulated by other modules.
c_InternalSerializer	This module is an internal serializer/deserializer for parallel processing.
c_TerminateInAllProcesses	When using parallel processing, call this module's terminate() function in all processes(). This will also ensure that there is exactly one process (single-core if no parallel modules found) or at least one input, one main and one output process.
c_DontCollectStatistics	No statistics is collected for this module.

Definition at line 77 of file Module.h.

                          {
      c_Input                       = 1,  
      c_Output                      = 2,  
      c_ParallelProcessingCertified = 4,  
      c_HistogramManager            = 8, 
      c_InternalSerializer          = 16,  
      c_TerminateInAllProcesses     = 32,  
      c_DontCollectStatistics       = 64,  
    };

Constructor & Destructor Documentation

CDCTriggerNeuroDQMOnlineModule()

CDCTriggerNeuroDQMOnlineModule

(

)

Constructor.

Definition at line 27 of file CDCTriggerNeuroDQMOnlineModule.cc.

                                                               : HistoModule()
{
  //Set module properties
  setDescription("CDC Trigger DQM Online module for HLT/Expressreco");
  setPropertyFlags(c_ParallelProcessingCertified);  // specify this flag if you need parallel processing
  addParam("unpacked2DTracksName", m_unpacked2DTracksName,
           "The name of the StoreArray of the unpacked 2D finder tracks",
           std::string("CDCTrigger2DFinderTracks"));
  addParam("simNeuroTracksName", m_simNeuroTracksName,
           "The name of the StoreArray of the Neurotrigger tracks from HWSIM",
           std::string("TSimNeuroTracks"));
  addParam("unpackedNeuroTracksName", m_unpackedNeuroTracksName,
           "The name of the StoreArray of the unpacked neurotrigger tracks",
           std::string("CDCTriggerNeuroTracks"));
  addParam("unpackedNeuroInput2dTracksName", m_unpackedNeuroInput2DTracksName,
           "The name of the StoreArray of the neurotrigger input 2d tracks",
           std::string("CDCTriggerNNInput2DFinderTracks"));
  addParam("unpackedNeuroInputSegmentHits", m_unpackedNeuroInputSegmentHitsName,
           "The name of the StoreArray of the neurotrigger input segment hits",
           std::string("CDCTriggerNNInputSegmentHits"));
  addParam("unpackedNeuroInputAllStereoSegmentHitsName", m_unpackedNeuroInputAllSegmentHitsName,
           "The name of the StoreArray of all segmenthits arriving at the NN boards",
           std::string("CDCTriggerNNInputAllStereoSegmentHits"));
  addParam("histogramDirectoryName", m_histogramDirectoryName,
           "Name of the directory where histograms will be placed",
           std::string("TRGCDCTNN2"));
  addParam("RecoTracksName", m_recoTracksName,
           "Name of the RecoTrack StoreArray. Leave empty for skipping them.",
           std::string("RecoTracks"));
  addParam("useSimTracks", m_useSimTracks,
           "switch on to use simulated tracks for plots, error logs and in debug output"
           "Useful for debugging SW/HW Errors:",
           false);
  addParam("useRecoTracks", m_useRecoTracks,
           "switch on to use recotracks",
           true);
 
}

~CDCTriggerNeuroDQMOnlineModule()

~CDCTriggerNeuroDQMOnlineModule ( )

virtual

Destructor.

Definition at line 67 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
}

Member Function Documentation

beginRun()

void beginRun ( void )

overrideprivatevirtual

Function to process begin_run record.

Reimplemented from HistoModule.

Definition at line 218 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  // Just to make sure, reset all the histograms.
 
  // histograms with recotracks (and hwsimtracks):
 
  m_neuroHWOutdzall->Reset();
  m_neuroHWOutdz0->Reset();
  m_neuroHWOutdz1->Reset();
  m_neuroHWOutdz2->Reset();
  m_neuroHWOutdz3->Reset();
  m_neuroHWSimRecodZ->Reset();
 
  // histograms with only hwneurotracks
 
  m_neuroHWOutZ->Reset();
  m_recoZ->Reset();
  m_recoZ_related->Reset();
  m_neuroHWOutSTTZ->Reset();
  m_neuroHWOutCosTheta->Reset();
  m_neuroHWOutPhi0->Reset();
  m_neuroHWOutPt->Reset();
  m_neuroHWOutP->Reset();
  m_neuroHWOutm_time->Reset();
  m_neuroHWValTracksNumber->Reset();
  m_neuroHWSector->Reset();
  m_neuroHWInTSID->Reset();
  m_neuroHWInTSIDSel->Reset();
  m_neuroHWInCDCFE->Reset();
  m_neuroHWInm_time->Reset();
  m_neuroHWIn2DTracksNumber->Reset();
 
  // histograms with hwsim tracks:
 
  m_neuroHWOutHwSimdZ->Reset();
  m_neuroHWSimZ->Reset();
  m_neuroHWSimCosTheta->Reset();
  m_neuroErrors->Reset();
  for (unsigned i = 0; i < m_errcount; ++i) {
    m_neuroErrors->GetXaxis()->SetBinLabel(i + 1, m_errdict[i].c_str());
  }
  //m_neuroErrorsRaw->Reset();
}

clone()

std::shared_ptr< PathElement > clone ( ) const

overridevirtualinherited

Create an independent copy of this module.

Note that parameters are shared, so changing them on a cloned module will also affect the original module.

Implements PathElement.

Definition at line 179 of file Module.cc.

{
  ModulePtr newModule = ModuleManager::Instance().registerModule(getType());
  newModule->m_moduleParamList.setParameters(getParamList());
  newModule->setName(getName());
  newModule->m_package = m_package;
  newModule->m_propertyFlags = m_propertyFlags;
  newModule->m_logConfig = m_logConfig;
  newModule->m_conditions = m_conditions;
 
  return newModule;
}

condFill()

void condFill ( TH1F * histo, float value )

inlineprivate

Fill a histogram only with non-zero values.

Definition at line 70 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      if (value != 0) {
        histo->Fill(value);
      }
    }

def_beginRun()

virtual void def_beginRun ( )

inlineprotectedvirtualinherited

Wrapper method for the virtual function beginRun() that has the implementation to be used in a call from Python.

Reimplemented in PyModule.

Definition at line 425 of file Module.h.

{ beginRun(); }

def_endRun()

virtual void def_endRun ( )

inlineprotectedvirtualinherited

This method can receive that the current run ends as a call from the Python side.

For regular C++-Modules that forwards the call to the regular endRun() method.

Reimplemented in PyModule.

Definition at line 438 of file Module.h.

{ endRun(); }

def_event()

virtual void def_event ( )

inlineprotectedvirtualinherited

Wrapper method for the virtual function event() that has the implementation to be used in a call from Python.

Reimplemented in PyModule.

Definition at line 431 of file Module.h.

{ event(); }

def_initialize()

virtual void def_initialize ( )

inlineprotectedvirtualinherited

Wrappers to make the methods without "def_" prefix callable from Python.

Overridden in PyModule. Wrapper method for the virtual function initialize() that has the implementation to be used in a call from Python.

Reimplemented in PyModule.

Definition at line 419 of file Module.h.

{ initialize(); }

def_terminate()

virtual void def_terminate ( )

inlineprotectedvirtualinherited

Wrapper method for the virtual function terminate() that has the implementation to be used in a call from Python.

Reimplemented in PyModule.

Definition at line 444 of file Module.h.

{ terminate(); }

defineHisto()

void defineHisto ( )

overrideprivatevirtual

Histogram definitions such as TH1(), TH2(), TNtuple(), TTree()....

are supposed to be placed in this function.

Reimplemented from HistoModule.

Definition at line 75 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  // Create a separate histogram directory and cd into it.
  TDirectory* oldDir = gDirectory;
  if (m_histogramDirectoryName != "") {
    oldDir->mkdir(m_histogramDirectoryName.c_str());
    oldDir->cd(m_histogramDirectoryName.c_str());
  }
  //----------------------------------------------------------------
 
  // define neurotrigger histograms
 
  // histograms with recotracks (and hwsimtracks):
 
  m_neuroHWOutdzall = new TH1F("NeuroHWOutZ-RecoZ",
                               "z Resolution of unpacked and valid neuro tracks; delta z [cm]",
                               200, -100, 100);
  m_neuroHWOutdz0 = new TH1F("Q0NeuroHWOutZ-RecoZ",
                             "Quadrant0 z Resolution of unpacked and valid neuro tracks; delta z [cm]",
                             200, -100, 100);
  m_neuroHWOutdz1 = new TH1F("Q1NeuroHWOutZ-RecoZ",
                             "Quadrant1 z Resolution of unpacked and valid neuro tracks; delta z [cm]",
                             200, -100, 100);
  m_neuroHWOutdz2 = new TH1F("Q2NeuroHWOutZ-RecoZ",
                             "Quadrant2 z Resolution of unpacked and valid neuro tracks; delta z [cm]",
                             200, -100, 100);
  m_neuroHWOutdz3 = new TH1F("Q3NeuroHWOutZ-RecoZ",
                             "Quadrant3 z Resolution of unpacked and valid neuro tracks; delta z [cm]",
                             200, -100, 100);
  m_neuroHWSimRecodZ = new TH1F("NeuroHWSimZ-RecoZ",
                                "z Resolution of Simulated HW Tracks; delta z [cm]",
                                200, -100, 100);
 
  // histograms with just hwneuro and hw2dtracks:
 
  m_neuroHWOutZ = new TH1F("NeuroHWOutZ",
                           "z distribution of unpacked and valid neuro tracks; z [cm]",
                           200, -100, 100);
  m_recoZ = new TH1F("RecoTrackZ",
                     "z distribution of all RecoTracks; z [cm]",
                     400, -200, 200);
  m_recoZ_related = new TH1F("RecoTrackZ_related",
                             "z distribution of all related Recotracks; z [cm]",
                             400, -200, 200);
  m_neuroHWOutSTTZ = new TH1F("NeuroHWOutSTTZ",
                              "z distribution of unpacked and valid first not updated per event Neurotracks  and p<0.7GeV; z [cm]",
                              200, -100, 100);
  m_neuroHWOutCosTheta = new TH1F("NeuroHWOutCosTheta",
                                  "cos theta distribution of unpacked and valid neuro tracks; cos(#theta) ",
                                  100, -1, 1);
  m_neuroHWOutPhi0 = new TH1F("NeuroHWOutPhi0",
                              "phi distribution of unpacked and valid neuro tracks; #phi [#circ]",
                              80, 0, 360); // shift to reduce the binning error
  m_neuroHWOutP = new TH1F("NeuroHWOutP",
                           "P distribution of unpacked neuro tracks; p_{T} [GeV]",
                           100, 0, 3);
  m_neuroHWOutPt = new TH1F("NeuroHWOutPt",
                            "Pt distribution of unpacked neuro tracks; p_{T} [GeV]",
                            10, 0, 3);
  m_neuroHWOutm_time = new TH1F("NeuroHWOutM_time", "m_time distribution of unpacked neuro tracks; clock cycle",
                                48, 0, 48);
  m_neuroHWValTracksNumber = new TH1F("NeuroHWValTracksNumber", "number of valid neurotracks per event; track count",
                                      20, 0, 20);
  m_neuroHWSector = new TH1F("NeuroHWExpert",
                             "Expert of unpacked neuro tracks; Expert",
                             5, 0, 5);
  m_neuroHWInTSID = new TH1F("NeuroHWInTSID", "ID of incoming track segments",
                             2336, 0, 2336);
  m_neuroHWInTSIDSel = new TH1F("NeuroHWInSelTSID", "ID of selected NNT track segments",
                                2336, 0, 2336);
  m_neuroHWInCDCFE = new TH1F("NeuroHWInCDCFE", "Number of incoming CDCFE board",
                              300, 0, 300);
  m_neuroHWInm_time = new TH1F("NeuroHWInM_time", "m_time distribution from incoming 2dtracks; clock cycle",
                               48, 0, 48);
  m_neuroHWIn2DTracksNumber = new TH1F("NeuroHWIn2DTracksNumber", "number of incoming 2dtracks per event; track count",
                                       20, 0, 20);
  m_neuroHWValTSCountAx = new TH1F("NeuroHWValTSCountAx", "Number of axial TS related to a valid NNTrack", 6, 0, 6);
  m_neuroHWValTSCountSt = new TH1F("NeuroHWValTSCountSt", "Number of stereo TS related to a valid NNTrack", 5, 0, 5);
 
  // now the histograms with hwsim neurotracks:
 
  m_neuroHWOutHwSimdZ = new TH1F("NeuroHWOutZ-NeuroHWSimZ",
                                 "dz Distribution of Valid Neuro Tracks and Simulated HW Tracks; z [cm]",
                                 200, -100, 100);
  m_neuroHWSimZ = new TH1F("NeuroHWSimZ",
                           "z Distribution of Simulated HW Tracks; z [cm]",
                           200, -100, 100);
  m_neuroHWSimCosTheta = new TH1F("NeuroHWSimCosTheta",
                                  "cos theta Distribution of Simulated HW Tracks; cos(#theta) ",
                                  100, -1, 1);
  m_errcount = m_errdict.size();
  m_neuroErrors = new TH1F("Neurotrigger-Errors", "Errors in the Neuro Hardware", m_errcount, 0, m_errcount);
  // cd back to root directory
  oldDir->cd();
}

endRun()

void endRun ( void )

overrideprivatevirtual

Function to process end_run record.

Reimplemented from HistoModule.

Definition at line 862 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
}

evalCondition()

bool evalCondition ( ) const

inherited

If at least one condition was set, it is evaluated and true returned if at least one condition returns true.

If no condition or result value was defined, the method returns false. Otherwise, the condition is evaluated and true returned, if at least one condition returns true. To speed up the evaluation, the condition strings were already parsed in the method if_value().

Returns

True if at least one condition and return value exists and at least one condition expression was evaluated to true.

Definition at line 96 of file Module.cc.

{
  if (m_conditions.empty()) return false;
 
  //okay, a condition was set for this Module...
  if (!m_hasReturnValue) {
    B2FATAL("A condition was set for '" << getName() << "', but the module did not set a return value!");
  }
 
  for (const auto& condition : m_conditions) {
    if (condition.evaluate(m_returnValue)) {
      return true;
    }
  }
  return false;
}

event()

void event ( void )

overrideprivatevirtual

Function to process event record.

Reimplemented from HistoModule.

Definition at line 261 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  if (m_unpackedNeuroInputSegmentHits.getEntries() == 0) {
    B2DEBUG(150, "No unpacked TS found, skipping event.");
    return;
  }
 
  fillHWPlots();
 
  if (m_useRecoTracks) {fillRecoPlots();}
 
  if (m_useSimTracks) {
    fillSimPlots();
    makeDebugOutput();
  }
 
 
 
}

exposePythonAPI()

void exposePythonAPI ( )

staticinherited

Exposes methods of the Module class to Python.

Definition at line 325 of file Module.cc.

{
  // to avoid confusion between std::arg and boost::python::arg we want a shorthand namespace as well
  namespace bp = boost::python;
 
  docstring_options options(true, true, false); //userdef, py sigs, c++ sigs
 
  void (Module::*setReturnValueInt)(int) = &Module::setReturnValue;
 
  enum_<Module::EAfterConditionPath>("AfterConditionPath",
                                     R"(Determines execution behaviour after a conditional path has been executed:
 
.. attribute:: END
 
  End processing of this path after the conditional path. (this is the default for if_value() etc.)
 
.. attribute:: CONTINUE
 
  After the conditional path, resume execution after this module.)")
  .value("END", Module::EAfterConditionPath::c_End)
  .value("CONTINUE", Module::EAfterConditionPath::c_Continue)
  ;
 
  /* Do not change the names of >, <, ... we use them to serialize conditional paths */
  enum_<Belle2::ModuleCondition::EConditionOperators>("ConditionOperator")
  .value(">", Belle2::ModuleCondition::EConditionOperators::c_GT)
  .value("<", Belle2::ModuleCondition::EConditionOperators::c_ST)
  .value(">=", Belle2::ModuleCondition::EConditionOperators::c_GE)
  .value("<=", Belle2::ModuleCondition::EConditionOperators::c_SE)
  .value("==", Belle2::ModuleCondition::EConditionOperators::c_EQ)
  .value("!=", Belle2::ModuleCondition::EConditionOperators::c_NE)
  ;
 
  enum_<Module::EModulePropFlags>("ModulePropFlags",
                                  R"(Flags to indicate certain low-level features of modules, see :func:`Module.set_property_flags()`, :func:`Module.has_properties()`. Most useful flags are:
 
.. attribute:: PARALLELPROCESSINGCERTIFIED
 
    This module can be run in parallel processing mode safely (All I/O must be done through the data store, in particular, the module must not write any files.)
 
.. attribute:: HISTOGRAMMANAGER
 
  This module is used to manage histograms accumulated by other modules
 
.. attribute:: TERMINATEINALLPROCESSES
 
  When using parallel processing, call this module's terminate() function in all processes. This will also ensure that there is exactly one process (single-core if no parallel modules found) or at least one input, one main and one output process.
)")
  .value("INPUT", Module::EModulePropFlags::c_Input)
  .value("OUTPUT", Module::EModulePropFlags::c_Output)
  .value("PARALLELPROCESSINGCERTIFIED", Module::EModulePropFlags::c_ParallelProcessingCertified)
  .value("HISTOGRAMMANAGER", Module::EModulePropFlags::c_HistogramManager)
  .value("INTERNALSERIALIZER", Module::EModulePropFlags::c_InternalSerializer)
  .value("TERMINATEINALLPROCESSES", Module::EModulePropFlags::c_TerminateInAllProcesses)
  ;
 
  //Python class definition
  class_<Module, PyModule> module("Module", R"(
Base class for Modules.
 
A module is the smallest building block of the framework.
A typical event processing chain consists of a Path containing
modules. By inheriting from this base class, various types of
modules can be created. To use a module, please refer to
:func:`Path.add_module()`.  A list of modules is available by running
``basf2 -m`` or ``basf2 -m package``, detailed information on parameters is
given by e.g. ``basf2 -m RootInput``.
 
The 'Module Development' section in the manual provides detailed information
on how to create modules, setting parameters, or using return values/conditions:
https://xwiki.desy.de/xwiki/rest/p/f4fa4/#HModuleDevelopment
 
)");
  module
  .def("__str__", &Module::getPathString)
  .def("name", &Module::getName, return_value_policy<copy_const_reference>(),
       "Returns the name of the module. Can be changed via :func:`set_name() <Module.set_name()>`, use :func:`type() <Module.type()>` for identifying a particular module class.")
  .def("type", &Module::getType, return_value_policy<copy_const_reference>(),
       "Returns the type of the module (i.e. class name minus 'Module')")
  .def("set_name", &Module::setName, args("name"), R"(
Set custom name, e.g. to distinguish multiple modules of the same type.
 
>>> path.add_module('EventInfoSetter')
>>> ro = path.add_module('RootOutput', branchNames=['EventMetaData'])
>>> ro.set_name('RootOutput_metadata_only')
>>> print(path)
[EventInfoSetter -> RootOutput_metadata_only]
 
)")
  .def("description", &Module::getDescription, return_value_policy<copy_const_reference>(),
       "Returns the description of this module.")
  .def("package", &Module::getPackage, return_value_policy<copy_const_reference>(),
       "Returns the package this module belongs to.")
  .def("available_params", &_getParamInfoListPython,
       "Return list of all module parameters as `ModuleParamInfo` instances")
  .def("has_properties", &Module::hasProperties, (bp::arg("properties")),
       R"DOCSTRING(Allows to check if the module has the given properties out of `ModulePropFlags` set.
 
>>> if module.has_properties(ModulePropFlags.PARALLELPROCESSINGCERTIFIED):
>>>     ...
 
Parameters:
  properties (int): bitmask of `ModulePropFlags` to check for.
)DOCSTRING")
  .def("set_property_flags", &Module::setPropertyFlags, args("property_mask"),
       "Set module properties in the form of an OR combination of `ModulePropFlags`.");
  {
    // python signature is too crowded, make ourselves
    docstring_options subOptions(true, false, false); //userdef, py sigs, c++ sigs
    module
    .def("if_value", &Module::if_value,
         (bp::arg("expression"), bp::arg("condition_path"), bp::arg("after_condition_path")= Module::EAfterConditionPath::c_End),
         R"DOCSTRING(if_value(expression, condition_path, after_condition_path=AfterConditionPath.END)
 
Sets a conditional sub path which will be executed after this
module if the return value set in the module passes the given ``expression``.
 
Modules can define a return value (int or bool) using ``setReturnValue()``,
which can be used in the steering file to split the Path based on this value, for example
 
>>> module_with_condition.if_value("<1", another_path)
 
In case the return value of the ``module_with_condition`` for a given event is
less than 1, the execution will be diverted into ``another_path`` for this event.
 
You could for example set a special return value if an error occurs, and divert
the execution into a path containing :b2:mod:`RootOutput` if it is found;
saving only the data producing/produced by the error.
 
After a conditional path has executed, basf2 will by default stop processing
the path for this event. This behaviour can be changed by setting the
``after_condition_path`` argument.
 
Parameters:
  expression (str): Expression to determine if the conditional path should be executed.
      This should be one of the comparison operators ``<``, ``>``, ``<=``,
      ``>=``, ``==``, or ``!=`` followed by a numerical value for the return value
  condition_path (Path): path to execute in case the expression is fulfilled
  after_condition_path (AfterConditionPath): What to do once the ``condition_path`` has been executed.
)DOCSTRING")
    .def("if_false", &Module::if_false,
         (bp::arg("condition_path"), bp::arg("after_condition_path")= Module::EAfterConditionPath::c_End),
         R"DOC(if_false(condition_path, after_condition_path=AfterConditionPath.END)
 
Sets a conditional sub path which will be executed after this module if
the return value of the module evaluates to False. This is equivalent to
calling `if_value` with ``expression=\"<1\"``)DOC")
    .def("if_true", &Module::if_true,
         (bp::arg("condition_path"), bp::arg("after_condition_path")= Module::EAfterConditionPath::c_End),
         R"DOC(if_true(condition_path, after_condition_path=AfterConditionPath.END)
 
Sets a conditional sub path which will be executed after this module if
the return value of the module evaluates to True. It is equivalent to
calling `if_value` with ``expression=\">=1\"``)DOC");
  }
  module
  .def("has_condition", &Module::hasCondition,
       "Return true if a conditional path has been set for this module "
       "using `if_value`, `if_true` or `if_false`")
  .def("get_all_condition_paths", &_getAllConditionPathsPython,
       "Return a list of all conditional paths set for this module using "
       "`if_value`, `if_true` or `if_false`")
  .def("get_all_conditions", &_getAllConditionsPython,
       "Return a list of all conditional path expressions set for this module using "
       "`if_value`, `if_true` or `if_false`")
  .add_property("logging", make_function(&Module::getLogConfig, return_value_policy<reference_existing_object>()),
                &Module::setLogConfig)

fillHWPlots()

void fillHWPlots ( )

private

Definition at line 281 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
 
  unsigned valtrackcount = 0;
 
  // first, fill the tsid plots and the cdcfe plot:
 
  for (const CDCTriggerSegmentHit& hit : m_unpackedNeuroInputAllSegmentHits) {
    m_neuroHWInTSID->Fill(hit.getSegmentID());
    m_neuroHWInCDCFE->Fill((int)(std::roundf(hit.getSegmentID()) * 2 + 8));
    m_neuroHWInCDCFE->Fill((int)(std::roundf(hit.getSegmentID()) * 2 + 9));
  }
  for (const CDCTriggerSegmentHit& hit : m_unpackedNeuroInputSegmentHits) {
    m_neuroHWInTSIDSel->Fill(hit.getSegmentID());
  }
 
  // now, we loop over the hardware neurotracks and fill the
  // corresponding histograms
 
  bool firsttrack = true;
  for (CDCTriggerTrack& neuroHWTrack : m_unpackedNeuroTracks) {
    bool valtrack = false;
    try {
      valtrack = neuroHWTrack.getValidStereoBit();
    } catch (...) {
      B2WARNING("HWTrack doesn't have 'valid bit', get it from relations now ...");
      valtrack = isValidPattern(getPattern(&neuroHWTrack, m_unpackedNeuroInputSegmentHitsName));
    }
    if (valtrack) {
      int nTsAx = 0;
      int nTsSt = 0;
      for (auto ts : neuroHWTrack.getRelationsTo<CDCTriggerSegmentHit>(m_unpackedNeuroInputSegmentHitsName)) {
        if (ts.getISuperLayer() % 2 == 0) {
          nTsAx ++;
        } else {
          nTsSt ++;
        }
      }
      m_neuroHWValTSCountAx->Fill(nTsAx);
      m_neuroHWValTSCountSt->Fill(nTsSt);
      if (nTsAx < 4) {
        neuroHWTrack.setQualityVector(256);
      }
      if (nTsSt < 3) {
        neuroHWTrack.setQualityVector(512);
      }
      valtrackcount ++;
      m_neuroHWOutZ->Fill(neuroHWTrack.getZ0());
      m_neuroHWOutCosTheta->Fill(copysign(1.0,
                                          neuroHWTrack.getCotTheta()) / sqrt(1. / (neuroHWTrack.getCotTheta()*neuroHWTrack.getCotTheta())));
      double phinorm = neuroHWTrack.getPhi0() * 180. / M_PI;
      if (phinorm < 0.) {phinorm += 360.;}
      m_neuroHWOutPhi0->Fill(phinorm);
      m_neuroHWOutPt->Fill(neuroHWTrack.getPt());
      float momentum = neuroHWTrack.getPt() / sin(acos(neuroHWTrack.getCotTheta() / sqrt(1 + neuroHWTrack.getCotTheta() *
                                                       neuroHWTrack.getCotTheta())));
      m_neuroHWOutP->Fill(momentum);
      if (momentum < 0.7 && firsttrack && neuroHWTrack.getFoundOldTrack()[0] == false) {
        m_neuroHWOutSTTZ->Fill(neuroHWTrack.getZ0());
        firsttrack = false;
      }
 
      m_neuroHWOutm_time->Fill(neuroHWTrack.getTime());
      m_neuroHWSector->Fill(neuroHWTrack.getRelatedTo<CDCTriggerMLPInput>(m_unpackedNeuroInputVectorName)->getSector());
 
 
      CDCTriggerTrack* twodHWTrack = neuroHWTrack.getRelatedFrom<CDCTriggerTrack>(m_unpackedNeuroInput2DTracksName);
      m_neuroHWInm_time->Fill(twodHWTrack->getTime());
 
      // fill the error plots here, but only if simtracks are available
      // first, get the related simtrack
      if (m_useSimTracks) {
        CDCTriggerTrack* neuroSimTrack = neuroHWTrack.getRelatedTo<CDCTriggerTrack>(m_simNeuroTracksName);
        if (!neuroSimTrack) {
          B2WARNING("No Simtrack related to HWTrack! This should not happen!");
          continue;
        }
        std::vector<float> unpackedInput =
          neuroHWTrack.getRelatedTo<CDCTriggerMLPInput>(m_unpackedNeuroInputVectorName)->getInput();
        std::vector<float> simInput =
          neuroSimTrack->getRelatedTo<CDCTriggerMLPInput>(m_simNeuroInputVectorName)->getInput();
        bool sameInputId = true;
        bool sameInputAlpha = true;
        bool scaleErr = false;
        bool missingHwTS = false;
        bool missingSwTS = false;
        bool timeErr = false;
        for (unsigned ii = 0; ii < unpackedInput.size(); ii += 3) {
          int hwZero = 0;
          int hwSimZero = 0;
          if (unpackedInput[ii] != simInput[ii]) {sameInputId = false;}
          if (unpackedInput[ii + 2] != simInput[ii + 2]) {sameInputAlpha = false;}
          if (unpackedInput[ii + 1] != simInput[ii + 1]) {timeErr = true;}
          if (unpackedInput[ii + 1] == 0 && simInput[ii + 1] > 0.99) {scaleErr = true;}
          if (simInput[ii + 1] == 0 && unpackedInput[ii + 1] > 0.99) {scaleErr = true;}
          if (unpackedInput[ii] == 0 && unpackedInput[ii + 1] == 0 && unpackedInput[ii + 2] == 0) {hwZero = 1;}
          if (simInput[ii] == 0 && simInput[ii + 1] == 0 && simInput[ii + 2] == 0) {hwSimZero = 1;}
          if (hwZero > hwSimZero) {missingSwTS = true;}
          if (hwZero < hwSimZero) {missingHwTS = true;}
        }
        double diff = neuroHWTrack.getZ0() - neuroSimTrack->getZ0();
        if (std::abs(diff) > 1.) {neuroHWTrack.setQualityVector(2);}
        if (!sameInputId) {neuroHWTrack.setQualityVector(4);}
        if (!sameInputAlpha) {neuroHWTrack.setQualityVector(8);}
        if (scaleErr) {neuroHWTrack.setQualityVector(16);}
        if (missingSwTS) {neuroHWTrack.setQualityVector(32);}
        if (missingHwTS) {neuroHWTrack.setQualityVector(64);}
        if (timeErr) {neuroHWTrack.setQualityVector(1024);}
 
      }
      // now fill the error histogram:
      unsigned qvec = neuroHWTrack.getQualityVector();
      //m_neuroErrorsRaw->Fill(qvec);
      m_neuroErrors->Fill(m_errcount - 1);
      for (unsigned k = 0; k < m_errcount; k++) {
        if (qvec & (1 << k)) {m_neuroErrors->Fill(k);}
      }
    }
 
  }
  m_neuroHWIn2DTracksNumber->Fill(m_unpackedNeuroInput2DTracks.getEntries());
  m_neuroHWValTracksNumber->Fill(valtrackcount);
}

fillRecoPlots()

void fillRecoPlots ( )

private

Definition at line 792 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  for (RecoTrack& recoTrack : m_RecoTracks) {
    double zTarget = 0;
    bool foundValidRep = false;
    for (genfit::AbsTrackRep* rep : recoTrack.getRepresentations()) {
      if (!recoTrack.wasFitSuccessful(rep))
        continue;
      // get state (position, momentum etc.) from hit closest to IP and
      // extrapolate to z-axis (may throw an exception -> continue to next representation)
      try {
        genfit::MeasuredStateOnPlane state =
          recoTrack.getMeasuredStateOnPlaneClosestTo(ROOT::Math::XYZVector(0, 0, 0), rep);
        rep->extrapolateToLine(state, TVector3(0, 0, -1000), TVector3(0, 0, 2000));
        zTarget = state.getPos().Z();
      } catch (...) {
        continue;
      }
      // break loop
      foundValidRep = true;
      break;
    }
    if (!foundValidRep) {
      B2DEBUG(150, "No valid representation found for RecoTrack, skipping.");
      continue;
    }
    m_recoZ->Fill(zTarget);
    // try to find related neurotrack
 
    CDCTriggerTrack* neuroHWTrack = recoTrack.getRelatedFrom<CDCTriggerTrack>(m_unpackedNeuroTracksName);
    if (!neuroHWTrack) {continue;}
    bool valtrack = false;
 
    //check valid bit, else continue (valid ^= enough stereo track segments)
 
    try {
      valtrack = neuroHWTrack->getValidStereoBit();
    } catch (...) {
      B2WARNING("HWTrack doesn't have 'valid bit', get it from relations now ...");
      valtrack = isValidPattern(getPattern(neuroHWTrack, m_unpackedNeuroInputSegmentHitsName));
    }
    if (!valtrack) {continue;}
    // TODO check after matching
    //  // flip tracks if necessary, such that trigger tracks and reco tracks
    //  // point in the same direction
    //  if (state.getMom().Dot(m_tracks[itrack]->getDirection()) < 0) {
    //    state.setPosMom(state.getPos(), -state.getMom());
    //    state.setChargeSign(-state.getCharge());
    //  }
    m_recoZ_related->Fill(zTarget);
    m_neuroHWOutdzall->Fill(neuroHWTrack->getZ0() - zTarget);
    switch (neuroHWTrack->getQuadrant()) {
      case -1:
        B2WARNING("Neurotrack quadrant was not set!");
        break;
      case 0:
        m_neuroHWOutdz0->Fill(neuroHWTrack->getZ0() - zTarget);
        break;
      case 1:
        m_neuroHWOutdz1->Fill(neuroHWTrack->getZ0() - zTarget);
        break;
      case 2:
        m_neuroHWOutdz2->Fill(neuroHWTrack->getZ0() - zTarget);
        break;
      case 3:
        m_neuroHWOutdz3->Fill(neuroHWTrack->getZ0() - zTarget);
        break;
    }
  }
}

fillSimPlots()

void fillSimPlots ( )

private

Definition at line 407 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
 
  for (CDCTriggerTrack& neuroSimTrack : m_simNeuroTracks) {
    CDCTriggerTrack* neuroHWTrack = nullptr;
    bool valtrack = false;
    try {
      valtrack = neuroSimTrack.getValidStereoBit();
    } catch (...) {
      B2WARNING("SimTrack doesn't have 'valid bit', get it from relations now ...");
      valtrack = isValidPattern(getPattern(&neuroSimTrack, m_unpackedNeuroInputSegmentHitsName));
    }
    if (valtrack) {
 
      m_neuroHWSimZ->Fill(neuroSimTrack.getZ0());
      m_neuroHWSimCosTheta->Fill(copysign(1.0,
                                          neuroSimTrack.getCotTheta()) / sqrt(1. / (neuroSimTrack.getCotTheta()*neuroSimTrack.getCotTheta())));
 
      neuroHWTrack = neuroSimTrack.getRelatedFrom<CDCTriggerTrack>(m_unpackedNeuroTracksName);
      if (neuroHWTrack) {
        bool valhwtrack = false;
        try {
          valhwtrack = neuroHWTrack->getValidStereoBit();
        } catch (...) {
          B2WARNING("HWTrack doesn't have 'valid bit', get it from relations now ...");
          valhwtrack = isValidPattern(getPattern(neuroHWTrack, m_unpackedNeuroInputSegmentHitsName));
        }
        if (valhwtrack) {
          double diff = neuroHWTrack->getZ0() - neuroSimTrack.getZ0();
          m_neuroHWOutHwSimdZ->Fill(diff);
        }
      }
 
      // now check for recotracks and fill the delta plot
 
      if (m_useRecoTracks) {
 
        // try to find related neurotrack
 
        RecoTrack* recoTrack = neuroSimTrack.getRelatedFrom<RecoTrack>(m_recoTracksName);
        if (recoTrack) {
          double zTarget = 0;
          bool foundValidRep = false;
 
          for (genfit::AbsTrackRep* rep : recoTrack->getRepresentations()) {
            if (!recoTrack->wasFitSuccessful(rep))
              continue;
            // get state (position, momentum etc.) from hit closest to IP and
            // extrapolate to z-axis (may throw an exception -> continue to next representation)
            try {
              genfit::MeasuredStateOnPlane state =
                recoTrack->getMeasuredStateOnPlaneClosestTo(ROOT::Math::XYZVector(0, 0, 0), rep);
              rep->extrapolateToLine(state, TVector3(0, 0, -1000), TVector3(0, 0, 2000));
 
              zTarget = state.getPos().Z();
            } catch (...) {
              continue;
            }
            // break loop
            foundValidRep = true;
            break;
          }
          if (!foundValidRep) {
            B2DEBUG(150, "No valid representation found for RecoTrack, skipping.");
          } else {
            //no need to check valid bit again
            m_neuroHWSimRecodZ->Fill(neuroSimTrack.getZ0() - zTarget);
          }
        }
      }
    }
  }
}

getAfterConditionPath()

Module::EAfterConditionPath getAfterConditionPath ( ) const

inherited

What to do after the conditional path is finished.

(defaults to c_End if no condition is set)

Definition at line 133 of file Module.cc.

{
  if (m_conditions.empty()) return EAfterConditionPath::c_End;
 
  //okay, a condition was set for this Module...
  if (!m_hasReturnValue) {
    B2FATAL("A condition was set for '" << getName() << "', but the module did not set a return value!");
  }
 
  for (const auto& condition : m_conditions) {
    if (condition.evaluate(m_returnValue)) {
      return condition.getAfterConditionPath();
    }
  }
 
  return EAfterConditionPath::c_End;
}

getAllConditionPaths()

std::vector< std::shared_ptr< Path > > getAllConditionPaths ( ) const

inherited

Return all condition paths currently set (no matter if the condition is true or not).

Definition at line 150 of file Module.cc.

{
  std::vector<std::shared_ptr<Path>> allConditionPaths;
  for (const auto& condition : m_conditions) {
    allConditionPaths.push_back(condition.getPath());
  }
 
  return allConditionPaths;
}

getAllConditions()

const std::vector< ModuleCondition > & getAllConditions ( ) const

inlineinherited

Return all set conditions for this module.

Definition at line 323 of file Module.h.

    {
      return m_conditions;
    }

getCondition()

const ModuleCondition * getCondition ( ) const

inlineinherited

Return a pointer to the first condition (or nullptr, if none was set)

Definition at line 313 of file Module.h.

    {
      if (m_conditions.empty()) {
        return nullptr;
      } else {
        return &m_conditions.front();
      }
    }

getConditionPath()

std::shared_ptr< Path > getConditionPath ( ) const

inherited

Returns the path of the last true condition (if there is at least one, else reaturn a null pointer).

Definition at line 113 of file Module.cc.

{
  PathPtr p;
  if (m_conditions.empty()) return p;
 
  //okay, a condition was set for this Module...
  if (!m_hasReturnValue) {
    B2FATAL("A condition was set for '" << getName() << "', but the module did not set a return value!");
  }
 
  for (const auto& condition : m_conditions) {
    if (condition.evaluate(m_returnValue)) {
      return condition.getPath();
    }
  }
 
  // if none of the conditions were true, return a null pointer.
  return p;
}

getDescription()

const std::string & getDescription ( ) const

inlineinherited

Returns the description of the module.

Definition at line 201 of file Module.h.

{return m_description;}

getFileNames()

virtual std::vector< std::string > getFileNames ( bool outputFiles )

inlinevirtualinherited

Return a list of output filenames for this modules.

This will be called when basf2 is run with "--dry-run" if the module has set either the c_Input or c_Output properties.

If the parameter outputFiles is false (for modules with c_Input) the list of input filenames should be returned (if any). If outputFiles is true (for modules with c_Output) the list of output files should be returned (if any).

If a module has sat both properties this member is called twice, once for each property.

The module should return the actual list of requested input or produced output filenames (including handling of input/output overrides) so that the grid system can handle input/output files correctly.

This function should return the same value when called multiple times. This is especially important when taking the input/output overrides from Environment as they get consumed when obtained so the finalized list of output files should be stored for subsequent calls.

Reimplemented in RootInputModule, RootOutputModule, and StorageRootOutputModule.

Definition at line 133 of file Module.h.

    {
      return std::vector<std::string>();
    }

getLogConfig()

LogConfig & getLogConfig ( )

inlineinherited

Returns the log system configuration.

Definition at line 224 of file Module.h.

{return m_logConfig;}

getModules()

std::list< ModulePtr > getModules ( ) const

inlineoverrideprivatevirtualinherited

no submodules, return empty list

Implements PathElement.

Definition at line 505 of file Module.h.

{ return std::list<ModulePtr>(); }

getName()

const std::string & getName ( ) const

inlineinherited

Returns the name of the module.

This can be changed via e.g. set_name() in the steering file to give more useful names if there is more than one module of the same type.

For identifying the type of a module, using getType() (or type() in Python) is recommended.

Definition at line 186 of file Module.h.

{return m_name;}

getPackage()

const std::string & getPackage ( ) const

inlineinherited

Returns the package this module is in.

Definition at line 196 of file Module.h.

{return m_package;}

getParamInfoListPython()

std::shared_ptr< boost::python::list > getParamInfoListPython ( ) const

inherited

Returns a python list of all parameters.

Each item in the list consists of the name of the parameter, a string describing its type, a python list of all default values and the description of the parameter.

Returns

A python list containing the parameters of this parameter list.

Definition at line 279 of file Module.cc.

{
  return m_moduleParamList.getParamInfoListPython();
}

getParamList()

const ModuleParamList & getParamList ( ) const

inlineinherited

Return module param list.

Definition at line 362 of file Module.h.

{ return m_moduleParamList; }

getPathString()

std::string getPathString ( ) const

overrideprivatevirtualinherited

return the module name.

Implements PathElement.

Definition at line 192 of file Module.cc.

{
 
  std::string output = getName();
 
  for (const auto& condition : m_conditions) {
    output += condition.getString();
  }
 
  return output;
}

getPattern()

unsigned getPattern ( CDCTriggerTrack * track, std::string hitCollectionName )

inlineprivate

get pattern of the track

Definition at line 77 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      unsigned pattern = 0;
      for (const CDCTriggerSegmentHit& hit : track->getRelationsTo<CDCTriggerSegmentHit>(hitCollectionName)) {
        unsigned sl = hit.getISuperLayer();
        if (sl % 2 == 1) pattern |= (1 << ((sl - 1) / 2));
      }
      return pattern;
    }

getReturnValue()

int getReturnValue ( ) const

inlineinherited

Return the return value set by this module.

This value is only meaningful if hasReturnValue() is true

Definition at line 380 of file Module.h.

{ return m_returnValue; }

getType()

const std::string & getType ( ) const

inherited

Returns the type of the module (i.e.

class name minus 'Module')

Definition at line 41 of file Module.cc.

{
  if (m_type.empty())
    B2FATAL("Module type not set for " << getName());
  return m_type;
}

hasCondition()

bool hasCondition ( ) const

inlineinherited

Returns true if at least one condition was set for the module.

Definition at line 310 of file Module.h.

{ return not m_conditions.empty(); };

hasProperties()

bool hasProperties ( unsigned int propertyFlags ) const

inherited

Returns true if all specified property flags are available in this module.

Parameters

propertyFlags

Ored EModulePropFlags which should be compared with the module flags.

Definition at line 160 of file Module.cc.

{
  return (propertyFlags & m_propertyFlags) == propertyFlags;
}

hasReturnValue()

bool hasReturnValue ( ) const

inlineinherited

Return true if this module has a valid return value set.

Definition at line 377 of file Module.h.

{ return m_hasReturnValue; }

hasUnsetForcedParams()

bool hasUnsetForcedParams ( ) const

inherited

Returns true and prints error message if the module has unset parameters which the user has to set in the steering file.

Definition at line 166 of file Module.cc.

{
  auto missing = m_moduleParamList.getUnsetForcedParams();
  std::string allMissing = "";
  for (const auto& s : missing)
    allMissing += s + " ";
  if (!missing.empty())
    B2ERROR("The following required parameters of Module '" << getName() << "' were not specified: " << allMissing <<
            "\nPlease add them to your steering file.");
  return !missing.empty();
}

have_relation()

bool have_relation ( const CDCTriggerTrack & track, const CDCTriggerSegmentHit & hit, std::string & arrayname )

inlineprivate

Definition at line 114 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      bool related = false;
      for (const CDCTriggerSegmentHit& ts : track.getRelationsTo<CDCTriggerSegmentHit>(arrayname)) {
        if (&ts == &hit) {related = true;}
      }
      return related;
    }

if_false()

void if_false ( const std::shared_ptr< Path > & path, EAfterConditionPath afterConditionPath = EAfterConditionPath::c_End )

inherited

A simplified version to add a condition to the module.

Please note that successive calls of this function will add more than one condition to the module. If more than one condition results in true, only the last of them will be used.

Please be careful: Avoid creating cyclic paths, e.g. by linking a condition to a path which is processed before the path where this module is located in.

It is equivalent to the if_value() method, using the expression "<1". This method is meant to be used together with the setReturnValue(bool value) method.

Parameters

path	Shared pointer to the Path which will be executed if the return value is false.
afterConditionPath	What to do after executing 'path'.

Definition at line 85 of file Module.cc.

{
  if_value("<1", path, afterConditionPath);
}

if_true()

void if_true ( const std::shared_ptr< Path > & path, EAfterConditionPath afterConditionPath = EAfterConditionPath::c_End )

inherited

A simplified version to set the condition of the module.

Please note that successive calls of this function will add more than one condition to the module. If more than one condition results in true, only the last of them will be used.

Please be careful: Avoid creating cyclic paths, e.g. by linking a condition to a path which is processed before the path where this module is located in.

It is equivalent to the if_value() method, using the expression ">=1". This method is meant to be used together with the setReturnValue(bool value) method.

Parameters

path	Shared pointer to the Path which will be executed if the return value is true.
afterConditionPath	What to do after executing 'path'.

Definition at line 90 of file Module.cc.

{
  if_value(">=1", path, afterConditionPath);
}

if_value()

void if_value ( const std::string & expression, const std::shared_ptr< Path > & path, EAfterConditionPath afterConditionPath = EAfterConditionPath::c_End )

inherited

Add a condition to the module.

Please note that successive calls of this function will add more than one condition to the module. If more than one condition results in true, only the last of them will be used.

See https://xwiki.desy.de/xwiki/rest/p/a94f2 or ModuleCondition for a description of the syntax.

Please be careful: Avoid creating cyclic paths, e.g. by linking a condition to a path which is processed before the path where this module is located in.

Parameters

expression	The expression of the condition.
path	Shared pointer to the Path which will be executed if the condition is evaluated to true.
afterConditionPath	What to do after executing 'path'.

Definition at line 79 of file Module.cc.

{
  m_conditions.emplace_back(expression, path, afterConditionPath);
}

initialize()

void initialize ( void )

overrideprivatevirtual

Module functions.

Reimplemented from HistoModule.

Definition at line 170 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  // Register histograms (calls back defineHisto)
 
  REG_HISTOGRAM
 
  // require event time and hwneuro related arrays:
 
  m_eventTime.isOptional("CDCTriggerNeuroETFT0");
  m_unpacked2DTracks.isRequired(m_unpacked2DTracksName);
 
  m_unpackedNeuroTracks.isRequired(m_unpackedNeuroTracksName);
  m_unpackedNeuroInput2DTracks.isRequired(m_unpackedNeuroInput2DTracksName);
  m_unpackedNeuroInputSegmentHits.isRequired(m_unpackedNeuroInputSegmentHitsName);
  m_unpackedNeuroInputAllSegmentHits.isRequired(m_unpackedNeuroInputAllSegmentHitsName);
  m_unpackedNeuroInputVectorName = m_unpackedNeuroTracksName + "Input";
  m_unpackedNeuroInputVector.isRequired(m_unpackedNeuroInputVectorName);
 
  // require recotracks, if activated:
 
  if (m_useRecoTracks) {m_RecoTracks.isRequired("RecoTracks");}
 
  //require hwsimtracks, if activated:
 
  if (m_useSimTracks) {
    m_simNeuroTracks.isRequired(m_simNeuroTracksName);
    m_simNeuroInputVectorName = m_simNeuroTracksName + "Input";
    m_simNeuroInputVector.isRequired(m_simNeuroInputVectorName);
  }
 
  // require certain relations
 
  m_unpackedNeuroInput2DTracks.requireRelationTo(m_unpackedNeuroTracks);
  m_unpackedNeuroTracks.requireRelationTo(m_unpackedNeuroInputSegmentHits);
  m_unpackedNeuroTracks.requireRelationTo(m_unpackedNeuroInputVector);
  if (m_useSimTracks) {
    m_unpackedNeuroTracks.requireRelationTo(m_simNeuroTracks);
  }
  if (m_useRecoTracks) {
    m_RecoTracks.requireRelationTo(m_unpackedNeuroTracks);
  }
  if (m_useSimTracks && m_useRecoTracks) {
    m_RecoTracks.requireRelationTo(m_simNeuroTracks);
  }
 
 
}

isValidPattern()

bool isValidPattern ( unsigned pattern )

inlineprivate

Validity of the pattern.

Definition at line 87 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      bool valid = false;
      switch (pattern) {
        case 7:
        case 11:
        case 13:
        case 14:
        case 15:
          valid = true;
      }
      return valid;
    }

makeDebugOutput()

void makeDebugOutput ( )

private

Definition at line 481 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
  StoreObjPtr<EventMetaData> eventMetaData;
  static constexpr std::array<int, 9> nWiresInSuperLayer = {
    160, 160, 192, 224, 256, 288, 320, 352, 384
  };
  unsigned axhwts = 0;
  unsigned sthwts = 0;
 
  std::vector<TSLine> hwtsoutput;
  for (const CDCTriggerSegmentHit& xhit : m_unpackedNeuroInputSegmentHits) {
    if (xhit.getISuperLayer() % 2 == 0) {
      axhwts ++;
    } else {
      sthwts ++;
    }
    int iSL = xhit.getISuperLayer();
    int iTS = xhit.getIWire();
    int nwires = nWiresInSuperLayer[ iSL ];
    if (iSL == 8) {
      iTS += 16;
      if (iTS > nwires) {
        iTS -= nwires;
      }
    }
    int tsIDInTracker = iTS - nwires * xhit.getQuadrant() / 4;
    if (tsIDInTracker < 0) {
      tsIDInTracker += nwires;
    }
    TSLine l(xhit);
    l.strline = "("
                + padto(std::to_string(xhit.getISuperLayer()), 2) + ", "
                + padto(std::to_string(xhit.getQuadrant()), 1) + ", "
                + padto(std::to_string(xhit.getSegmentID()), 4) + ", "
                + padto(std::to_string(xhit.getIWire()), 5) + ", "
                + padto(std::to_string(xhit.getPriorityPosition()), 2) + ", "
                + padto(std::to_string(xhit.getLeftRight()), 2) + ", "
                + padto(std::to_string(xhit.priorityTime()), 4) + ", "
                + padto(std::to_string(xhit.foundTime()), 3) + ", "
                + padto(std::to_string(tsIDInTracker), 4) + ") | ";
 
    unsigned count2d = 0;
    for (CDCTriggerTrack& track : m_unpackedNeuroInput2DTracks) {
      count2d++;
      if (have_relation(track, xhit, m_unpackedNeuroInputSegmentHitsName)) {
        l.strline += std::to_string(count2d);
      } else {
        l.strline += ".";
      }
    }
    l.strline += " | ";
    unsigned counthwn = 0;
    for (CDCTriggerTrack& track : m_unpackedNeuroTracks) {
      counthwn++;
      if (have_relation(track, xhit, m_unpackedNeuroInputSegmentHitsName)) {
        if (track.getValidStereoBit()) {
          l.strline += std::to_string(counthwn);
        } else {
          l.strline += "x";
        }
      } else {
        l.strline += ".";
      }
    }
    l.strline += " | ";
 
    unsigned countswn = 0;
    for (CDCTriggerTrack& track : m_simNeuroTracks) {
      countswn++;
      if (have_relation(track, xhit, m_unpackedNeuroInputSegmentHitsName)) {
        if (track.getValidStereoBit()) {
          l.strline += std::to_string(countswn);
        } else {
          l.strline += "x";
        }
      } else {
        l.strline += ".";
      }
    }
    l.strline += " | ";
 
    if (m_useRecoTracks) {
      unsigned countreco = 0;
      for (const auto& track : m_RecoTracks) {
        countreco++;
        bool related = false;
        for (const CDCTriggerSegmentHit& ts : track.getRelationsTo<CDCTriggerSegmentHit>(m_unpackedNeuroInputSegmentHitsName)) {
          if (&ts == &xhit) {related = true;}
        }
        if (related) {
          l.strline += std::to_string(countreco);
        } else {
          l.strline += ".";
        }
      }
      l.strline += " | ";
    }
    sorted_insert(hwtsoutput, l, m_unpackedNeuroInputSegmentHitsName, m_unpackedNeuroInput2DTracksName, m_unpackedNeuroTracksName);
  }
 
  std::string axhw = std::to_string(axhwts) + " / " + std::to_string(sthwts);
  std::string hwtsstring = "(SL, Q, SID , WID  , PP, LR, pT , fT , TSID) | HWNNIn2D | HWNeuro | SWNeuro | ";
  if (m_useRecoTracks) {hwtsstring += "Reco |  ";}
  B2DEBUG(10, padright(" ", 100));
  B2DEBUG(10, "----------------------------------------------------------------------------------------------------");
  B2DEBUG(10, padright(" ", 100));
  std::string experimentstring = "Experiment " + std::to_string(eventMetaData->getExperiment()) + "  Run " +
                                 std::to_string(eventMetaData->getRun()) + "  Event " + std::to_string(eventMetaData->getEvent());
  B2DEBUG(10, padright(experimentstring, 100));
  B2DEBUG(10, padright(" ", 100));
  B2DEBUG(10, padright(" ", 100));
  B2DEBUG(10,  padright("Number of NN HW TS (Axial/Stereo): ", 40) << padright(axhw, 60));
  B2DEBUG(10,  padright("Number of HW 2DFinderTracks: ", 40)            << padright(std::to_string(m_unpacked2DTracks.getEntries()),
          60));
  unsigned f2dtrn = 0;
  for (CDCTriggerTrack& ltrack : m_unpacked2DTracks) {
    f2dtrn++;
    std::stringstream strpt;
    std::stringstream stromega;
    std::stringstream strphi;
    strpt       << std::fixed << std::setprecision(2)   << ltrack.getPt();
    stromega    << std::fixed << std::setprecision(2)   << ltrack.getOmega();
    strphi      << std::fixed << std::setprecision(2)   << (ltrack.getPhi0() * 180. / M_PI);
    std::string trs  = "    HW2DFinderTrack Nr. " + std::to_string(f2dtrn) + " (pt, omega, phi) = ";
    trs += padto(strpt.str(), 6) + ", " + padto(stromega.str(), 6) + ", " + padto(strphi.str(), 6) + ")";
    B2DEBUG(15, padright(trs, 100));
  }
  B2DEBUG(10,  padright("Number of HW NNInput2DFinderTracks: ",
                        40)     << padright(std::to_string(m_unpackedNeuroInput2DTracks.getEntries()), 60));
  unsigned n2dtrn = 0;
  for (CDCTriggerTrack& ltrack : m_unpackedNeuroInput2DTracks) {
    n2dtrn++;
    std::stringstream strpt;
    std::stringstream stromega;
    std::stringstream strphi;
    strpt       << std::fixed << std::setprecision(2)   << ltrack.getPt();
    stromega    << std::fixed << std::setprecision(2)   << ltrack.getOmega();
    strphi      << std::fixed << std::setprecision(2)   << (ltrack.getPhi0() * 180. / M_PI);
    std::string trs  = "    HWNeuroInput2DTrack Nr. " + std::to_string(n2dtrn) + " (pt, omega, phi) = ";
    trs += padto(strpt.str(), 6) + ", " + padto(stromega.str(), 6) + ", " + padto(strphi.str(), 6) + ", " + ")";
    B2DEBUG(15, padright(trs, 100));
  }
  B2DEBUG(10,  padright("Number of HW NeuroTracks: ",
                        40)               << padright(std::to_string(m_unpackedNeuroTracks.getEntries()), 60));
  unsigned hwntrn = 0;
  for (CDCTriggerTrack& ltrack : m_unpackedNeuroTracks) {
    hwntrn++;
    std::stringstream strpt;
    std::stringstream stromega;
    std::stringstream strphi;
    std::stringstream strtheta;
    std::stringstream strz;
    std::stringstream hwomega;
    std::stringstream hwphi;
    std::stringstream hwtheta;
    std::stringstream hwz;
    strpt       << std::fixed << std::setprecision(2)   << ltrack.getPt();
    stromega    << std::fixed << std::setprecision(2)   << ltrack.getOmega();
    strphi      << std::fixed << std::setprecision(2)   << (ltrack.getPhi0() * 180. / M_PI);
    strtheta    << std::fixed << std::setprecision(2)   << (ltrack.getDirection().Theta() * 180. / M_PI);
    strz        << std::fixed << std::setprecision(2)   << ltrack.getZ0();
    hwomega     << std::fixed << std::setprecision(0)   << ltrack.getRawOmega();
    hwphi       << std::fixed << std::setprecision(0)   << ltrack.getRawPhi0();
    hwtheta     << std::fixed << std::setprecision(0)   << ltrack.getRawTheta();
    hwz         << std::fixed << std::setprecision(0)   << ltrack.getRawZ();
    std::string trs  = "    HWNeuroTrack Nr. " + std::to_string(hwntrn) + " (pt,om,phi,theta,z)=(";
    trs += padto(strpt.str(), 4) + "," + padto(stromega.str(), 6) + "," + padto(strphi.str(), 6) + "," + padto(strtheta.str(),
           6) + "," + padto(strz.str(), 6) + "),(x," + padto(hwomega.str(), 3) + "," + padto(hwphi.str(), 3) + "," + padto(hwtheta.str(),
               3) + "," + padto(hwz.str(), 3) + ")";
    B2DEBUG(15, padright(trs, 100));
    std::string infostr = ", Found old track: ( ";
    for (bool x : ltrack.getFoundOldTrack()) {
      infostr += std::to_string(x);
    }
    infostr += "), ";
    infostr = padright(infostr, 50);
    infostr += "Drift threshold: ( ";
    for (bool x : ltrack.getDriftThreshold()) {
      infostr += std::to_string(x);
    }
    infostr += ")";
    infostr += (ltrack.getValidStereoBit()) ? " valid" : " NOT valid";
    B2DEBUG(15, padright(infostr, 100));
    std::string infostr2 = "     std. ETF vld:";
    infostr2 += std::to_string(m_eventTime.isValid());
    infostr2 += ", ETFT0: ";
    if (m_eventTime.isValid()) {
      infostr2 += std::to_string(m_eventTime->getBinnedEventT0(Const::CDC));
    } else {
      infostr2 += "  ";
    }
    infostr2 += ", ETF in CC: ";
    infostr2 += std::to_string(ltrack.getETF_unpacked());
    infostr2 += ", ETF recalculated: ";
    infostr2 += std::to_string(ltrack.getETF_recalced());
    B2DEBUG(15, padright(infostr2, 100));
    std::string info2str = "      Expert Network Number: " + std::to_string(ltrack.getExpert());
    info2str += ", TSVector: (";
    for (unsigned x : ltrack.getTSVector()) {
      info2str += std::to_string(x) + " ";
    }
    info2str += ")";
    info2str += ", Quality=";
    info2str += std::to_string(ltrack.getQualityVector());
    B2DEBUG(15, padright(info2str, 100));
    CDCTriggerTrack* ftrack = ltrack.getRelatedFrom<CDCTriggerTrack>(m_unpackedNeuroInput2DTracksName);
    CDCTriggerTrack* strack = ftrack->getRelatedTo<CDCTriggerTrack>(m_simNeuroTracksName);
    if (strack) {
      std::vector<float> unpackedInput =
        ltrack.getRelatedTo<CDCTriggerMLPInput>(m_unpackedNeuroInputVectorName)->getInput();
      std::vector<float> simInput =
        strack->getRelatedTo<CDCTriggerMLPInput>(m_simNeuroInputVectorName)->getInput();
      B2DEBUG(20, padright("      Input Vector unpacked (id, t, alpha), sim (id, t, alpha), delta (id, t, alpha):", 100));
      for (unsigned ii = 0; ii < unpackedInput.size(); ii += 3) {
        std::string lla = "      " + std::to_string(ii / 3) + ")";
        std::string llb = "      " + std::to_string(ii / 3) + ")";
        lla += "(" + padright(std::to_string(unpackedInput[ii]), 8) + " " + padright(std::to_string(unpackedInput[ii + 1]),
               8) + " " + padright(std::to_string(unpackedInput[ii + 2]), 8) + "),(" + padright(std::to_string(simInput[ii]),
                   8) + " " + padright(std::to_string(simInput[ii + 1]), 8) + " " + padright(std::to_string(simInput[ii + 2]),
                       8) + "),(" + padright(std::to_string(unpackedInput[ii] - simInput[ii]),
                                             8) + " " + padright(std::to_string(unpackedInput[ii + 1] - simInput[ii + 1]),
                                                                 8) + " " + padright(std::to_string(unpackedInput[ii + 2] - simInput[ii + 2]), 8) + ")";
        llb += "  (" + padright(std::to_string(int(unpackedInput[ii] * 4096)),
                                8) + " " + padright(std::to_string(int(unpackedInput[ii + 1] * 4096)),
                                                    8) + " " + padright(std::to_string(int(unpackedInput[ii + 2] * 4096)),
                                                        8) + "),(" + padright(std::to_string(int(simInput[ii] * 4096)), 8) + " " + padright(std::to_string(int(simInput[ii + 1] * 4096)),
                                                            8) + " " + padright(std::to_string(int(simInput[ii + 2] * 4096)),
                                                                8) + "),(" + padright(std::to_string(int(unpackedInput[ii] * 4096 - simInput[ii] * 4096)),
                                                                    8) + " " + padright(std::to_string(int(unpackedInput[ii + 1] * 4096 - simInput[ii + 1] * 4096)),
                                                                        8) + " " + padright(std::to_string(int(unpackedInput[ii + 2] * 4096 - simInput[ii + 2] * 4096)), 8) + ")";
 
        B2DEBUG(30, padright(lla, 100));
        B2DEBUG(20, padright(llb, 100));
      }
    }
  }
  if (m_useRecoTracks) {
    B2DEBUG(10,  padright("Number of  RecoTracks: ", 40)                  << padright(std::to_string(m_RecoTracks.getEntries()), 60));
    unsigned recotrn = 0;
    for (RecoTrack& ltrack : m_RecoTracks) {
      double phi0Target = 0;
      double invptTarget = 0;
      double thetaTarget = 0;
      double zTarget = 0;
      double d0Target = 0;
      bool foundValidRep = false;
      for (genfit::AbsTrackRep* rep : ltrack.getRepresentations()) {
        if (!ltrack.wasFitSuccessful(rep))
          continue;
        // get state (position, momentum etc.) from hit closest to IP and
        // extrapolate to z-axis (may throw an exception -> continue to next representation)
        try {
          genfit::MeasuredStateOnPlane state =
            ltrack.getMeasuredStateOnPlaneClosestTo(ROOT::Math::XYZVector(0, 0, 0), rep);
          rep->extrapolateToLine(state, TVector3(0, 0, -1000), TVector3(0, 0, 2000));
          // TODO check after matching
          //  // flip tracks if necessary, such that trigger tracks and reco tracks
          //  // point in the same direction
          //  if (state.getMom().Dot(m_tracks[itrack]->getDirection()) < 0) {
          //    state.setPosMom(state.getPos(), -state.getMom());
          //    state.setChargeSign(-state.getCharge());
          //  }
          // get track parameters
          phi0Target = state.getMom().Phi() * 180. / M_PI ;
          if (phi0Target < 0.) {phi0Target = phi0Target + 360. ;}
          invptTarget = state.getCharge() * state.getMom().Pt();
          thetaTarget = acos(state.getMom().CosTheta()) * 180 / M_PI;
          zTarget = state.getPos().Z();
          d0Target = state.getPos().Perp();
        } catch (...) {
          continue;
        }
        // break loop
        foundValidRep = true;
        break;
      }
      if (!foundValidRep) {
        B2DEBUG(150, "No valid representation found for RecoTrack, skipping.");
        continue;
      }
      recotrn++;
      std::stringstream strpt;
      std::stringstream stromega;
      std::stringstream strphi;
      std::stringstream strtheta;
      std::stringstream strz;
      strpt       << std::fixed << std::setprecision(2)   << invptTarget;
      stromega    << std::fixed << std::setprecision(2)   << d0Target;
      strphi      << std::fixed << std::setprecision(2)   << phi0Target;
      strtheta    << std::fixed << std::setprecision(2)   << thetaTarget;
      strz        << std::fixed << std::setprecision(2)   << zTarget;
      std::string trs  = "    RecoTrack Nr. " + std::to_string(recotrn) + " (invpt, d0, phi, theta, z) = ";
      trs += padto(strpt.str(), 6) + ", " + padto(stromega.str(), 6) + ", " + padto(strphi.str(), 6) + ", " + padto(strtheta.str(),
             6) + ", " + padto(strz.str(), 6) + ")";
      B2DEBUG(15, padright(trs, 100));
    }
  }
  B2DEBUG(10, padright(" ", 100));
  B2DEBUG(10, padright(" ", 100));
  B2DEBUG(15, padright("Detailed information about HW TS ", 100));
  B2DEBUG(15, padright(" ", 100));
  B2DEBUG(15, padright(hwtsstring, 100));
  for (auto x : hwtsoutput) {
    B2DEBUG(15, padright(x.strline, 100));
  }
  B2DEBUG(15, padright(" ", 100));
 
 
}

padright()

std::string padright ( std::string s, unsigned l )

inlineprivate

Definition at line 107 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      if (s.size() < l) {
        s.insert(s.end(), l - s.size(), ' ');
      }
      return s;
    }

padto()

std::string padto ( std::string s, unsigned l )

inlineprivate

Definition at line 100 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      if (s.size() < l) {
        s.insert(s.begin(), l - s.size(), ' ');
      }
      return s;
    }

setAbortLevel()

void setAbortLevel ( int abortLevel )

inherited

Configure the abort log level.

Definition at line 67 of file Module.cc.

{
  m_logConfig.setAbortLevel(static_cast<LogConfig::ELogLevel>(abortLevel));
}

setDebugLevel()

void setDebugLevel ( int debugLevel )

inherited

Configure the debug messaging level.

Definition at line 61 of file Module.cc.

{
  m_logConfig.setDebugLevel(debugLevel);
}

setDescription()

void setDescription ( const std::string & description )

protectedinherited

Sets the description of the module.

Parameters

description

A description of the module.

Definition at line 214 of file Module.cc.

{
  m_description = description;
}

setLogConfig()

void setLogConfig ( const LogConfig & logConfig )

inlineinherited

Set the log system configuration.

Definition at line 229 of file Module.h.

{m_logConfig = logConfig;}

setLogInfo()

void setLogInfo ( int logLevel, unsigned int logInfo )

inherited

Configure the printed log information for the given level.

Parameters

logLevel	The log level (one of LogConfig::ELogLevel)
logInfo	What kind of info should be printed? ORed combination of LogConfig::ELogInfo flags.

Definition at line 73 of file Module.cc.

{
  m_logConfig.setLogInfo(static_cast<LogConfig::ELogLevel>(logLevel), logInfo);
}

setLogLevel()

void setLogLevel ( int logLevel )

inherited

Configure the log level.

Definition at line 55 of file Module.cc.

{
  m_logConfig.setLogLevel(static_cast<LogConfig::ELogLevel>(logLevel));
}

setName()

void setName ( const std::string & name )

inlineinherited

Set the name of the module.

Note

The module name is set when using the REG_MODULE macro, but the module can be renamed before calling process() using the set_name() function in your steering file.

Parameters

name	The name of the module

Definition at line 213 of file Module.h.

{ m_name = name; };

setParamList()

void setParamList ( const ModuleParamList & params )

inlineprotectedinherited

Replace existing parameter list.

Definition at line 500 of file Module.h.

{ m_moduleParamList = params; }

setParamPython()

void setParamPython ( const std::string & name, const boost::python::object & pyObj )

privateinherited

Implements a method for setting boost::python objects.

The method supports the following types: list, dict, int, double, string, bool The conversion of the python object to the C++ type and the final storage of the parameter value is done in the ModuleParam class.

Parameters

name	The unique name of the parameter.
pyObj	The object which should be converted and stored as the parameter value.

Definition at line 234 of file Module.cc.

{
  LogSystem& logSystem = LogSystem::Instance();
  logSystem.updateModule(&(getLogConfig()), getName());
  try {
    m_moduleParamList.setParamPython(name, pyObj);
  } catch (std::runtime_error& e) {
    throw std::runtime_error("Cannot set parameter '" + name + "' for module '"
                             + m_name + "': " + e.what());
  }
 
  logSystem.updateModule(nullptr);
}

setParamPythonDict()

void setParamPythonDict ( const boost::python::dict & dictionary )

privateinherited

Implements a method for reading the parameter values from a boost::python dictionary.

The key of the dictionary has to be the name of the parameter and the value has to be of one of the supported parameter types.

Parameters

dictionary

The python dictionary from which the parameter values are read.

Definition at line 249 of file Module.cc.

{
 
  LogSystem& logSystem = LogSystem::Instance();
  logSystem.updateModule(&(getLogConfig()), getName());
 
  boost::python::list dictKeys = dictionary.keys();
  int nKey = boost::python::len(dictKeys);
 
  //Loop over all keys in the dictionary
  for (int iKey = 0; iKey < nKey; ++iKey) {
    boost::python::object currKey = dictKeys[iKey];
    boost::python::extract<std::string> keyProxy(currKey);
 
    if (keyProxy.check()) {
      const boost::python::object& currValue = dictionary[currKey];
      setParamPython(keyProxy, currValue);
    } else {
      B2ERROR("Setting the module parameters from a python dictionary: invalid key in dictionary!");
    }
  }
 
  logSystem.updateModule(nullptr);
}

setPropertyFlags()

void setPropertyFlags ( unsigned int propertyFlags )

inherited

Sets the flags for the module properties.

Parameters

propertyFlags

bitwise OR of EModulePropFlags

Definition at line 208 of file Module.cc.

{
  m_propertyFlags = propertyFlags;
}

setReturnValue() [1/2]

void setReturnValue ( bool value )

protectedinherited

Sets the return value for this module as bool.

The bool value is saved as an integer with the convention 1 meaning true and 0 meaning false. The value can be used in the steering file to divide the analysis chain into several paths.

Parameters

value

The value of the return value.

Definition at line 227 of file Module.cc.

{
  m_hasReturnValue = true;
  m_returnValue = value;
}

setReturnValue() [2/2]

void setReturnValue ( int value )

protectedinherited

Sets the return value for this module as integer.

The value can be used in the steering file to divide the analysis chain into several paths.

Parameters

value

The value of the return value.

Definition at line 220 of file Module.cc.

{
  m_hasReturnValue = true;
  m_returnValue = value;
}

setType()

void setType ( const std::string & type )

protectedinherited

Set the module type.

Only for use by internal modules (which don't use the normal REG_MODULE mechanism).

Definition at line 48 of file Module.cc.

{
  if (!m_type.empty())
    B2FATAL("Trying to change module type from " << m_type << " is not allowed, the value is assumed to be fixed.");
  m_type = type;
}

sorted_insert()

void sorted_insert ( TSLines & lines, TSLine & line, std::string & arrayname, std::string & firstsortarray, std::string & secondsortarray )

inlineprivate

Definition at line 122 of file CDCTriggerNeuroDQMOnlineModule.h.

    {
      bool inserted = false;
      bool related = false;
      TSLines::iterator it = lines.begin();
      for (const CDCTriggerTrack& track : line.hit->getRelationsFrom<CDCTriggerTrack>(firstsortarray)) {
        if (!inserted) {
          for (TSLines::iterator i = lines.begin(); i < lines.end(); ++i) {
            if (i->hit->getISuperLayer() % 2 != line.hit->getISuperLayer() % 2) {
              continue;
            }
            if (have_relation(track, *(i->hit), arrayname)) {
              it = i;
              related = true;
              if (i->hit->getSegmentID() > line.hit->getSegmentID()) {
                inserted = true;
                break;
              }
            }
          }
        } else { break; }
      }
      if (related) {
        if (!inserted) {++it; }
        lines.insert(it, line);
      } else {
        for (const CDCTriggerTrack& track : line.hit->getRelationsFrom<CDCTriggerTrack>(secondsortarray)) {
          if (!inserted) {
            for (TSLines::iterator i = it; i < lines.end(); ++i) {
              if (i->hit->getISuperLayer() % 2 != line.hit->getISuperLayer() % 2) {
                continue;
              }
              if (have_relation(track, *(i->hit), arrayname)) {
                it = i;
                related = true;
                if (i->hit->getSegmentID() > line.hit->getSegmentID()) {
                  inserted = true;
                  break;
                }
              }
            }
          } else { break; }
        }
        if (related) {
          if (!inserted) {++it; }
          lines.insert(it, line);
        } else {
          lines.push_back(line);
        }
      }
    }

terminate()

void terminate ( void )

overrideprivatevirtual

Function to terminate module.

Reimplemented from HistoModule.

Definition at line 867 of file CDCTriggerNeuroDQMOnlineModule.cc.

{
}

Member Data Documentation

m_conditions

std::vector<ModuleCondition> m_conditions

privateinherited

Module condition, only non-null if set.

Definition at line 520 of file Module.h.

m_description

std::string m_description

privateinherited

The description of the module.

Definition at line 510 of file Module.h.

m_errcount

unsigned m_errcount = 0

private

Definition at line 256 of file CDCTriggerNeuroDQMOnlineModule.h.

m_errdict

std::vector<std::string> m_errdict {"Not All HWTrack ATS in 2DInTrack", "|HW-SW| > 1cm", "Delta Input IDs not all 0", "Delta Input Alphas not all 0", "Drifttime Overflow / Scaling Error", "TS only in HW", "TS only in SW", "Multiple ET per Track", "<4 related Axial TS", "<3 related Stereo TS", "Drift Time diff", "Eventcounter"}

private

Definition at line 257 of file CDCTriggerNeuroDQMOnlineModule.h.

{"Not All HWTrack ATS in 2DInTrack", "|HW-SW| > 1cm", "Delta Input IDs not all 0", "Delta Input Alphas not all 0", "Drifttime Overflow / Scaling Error", "TS only in HW", "TS only in SW", "Multiple ET per Track", "<4 related Axial TS", "<3 related Stereo TS", "Drift Time diff", "Eventcounter"};

m_eventTime

StoreObjPtr<BinnedEventT0> m_eventTime

private

storeobjpointer for event time

Definition at line 220 of file CDCTriggerNeuroDQMOnlineModule.h.

m_hasReturnValue

bool m_hasReturnValue

privateinherited

True, if the return value is set.

Definition at line 517 of file Module.h.

m_histogramDirectoryName

std::string m_histogramDirectoryName

private

Name of the histogram directory in ROOT file.

Definition at line 174 of file CDCTriggerNeuroDQMOnlineModule.h.

m_logConfig

LogConfig m_logConfig

privateinherited

The log system configuration of the module.

Definition at line 513 of file Module.h.

m_moduleParamList

ModuleParamList m_moduleParamList

privateinherited

List storing and managing all parameter of the module.

Definition at line 515 of file Module.h.

m_name

std::string m_name

privateinherited

The name of the module, saved as a string (user-modifiable)

Definition at line 507 of file Module.h.

m_neuroErrors

TH1F* m_neuroErrors = nullptr

private

Definition at line 252 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWIn2DTracksNumber

TH1F* m_neuroHWIn2DTracksNumber = nullptr

private

Definition at line 247 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWInCDCFE

TH1F* m_neuroHWInCDCFE = nullptr

private

Definition at line 245 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWInm_time

TH1F* m_neuroHWInm_time = nullptr

private

Definition at line 246 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWInTSID

TH1F* m_neuroHWInTSID = nullptr

private

Definition at line 243 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWInTSIDSel

TH1F* m_neuroHWInTSIDSel = nullptr

private

Definition at line 244 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutCosTheta

TH1F* m_neuroHWOutCosTheta = nullptr

private

Definition at line 236 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutdz0

TH1F* m_neuroHWOutdz0 = nullptr

private

Definition at line 226 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutdz1

TH1F* m_neuroHWOutdz1 = nullptr

private

Definition at line 227 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutdz2

TH1F* m_neuroHWOutdz2 = nullptr

private

Definition at line 228 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutdz3

TH1F* m_neuroHWOutdz3 = nullptr

private

Definition at line 229 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutdzall

TH1F* m_neuroHWOutdzall = nullptr

private

Definition at line 225 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutHwSimdZ

TH1F* m_neuroHWOutHwSimdZ = nullptr

private

Definition at line 249 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutm_time

TH1F* m_neuroHWOutm_time = nullptr

private

Definition at line 240 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutP

TH1F* m_neuroHWOutP = nullptr

private

Definition at line 239 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutPhi0

TH1F* m_neuroHWOutPhi0 = nullptr

private

Definition at line 237 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutPt

TH1F* m_neuroHWOutPt = nullptr

private

Definition at line 238 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutSTTZ

TH1F* m_neuroHWOutSTTZ = nullptr

private

Definition at line 235 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWOutZ

TH1F* m_neuroHWOutZ = nullptr

private

Definition at line 232 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWSector

TH1F* m_neuroHWSector = nullptr

private

Definition at line 242 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWSimCosTheta

TH1F* m_neuroHWSimCosTheta = nullptr

private

Definition at line 251 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWSimRecodZ

TH1F* m_neuroHWSimRecodZ = nullptr

private

Definition at line 230 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWSimZ

TH1F* m_neuroHWSimZ = nullptr

private

Definition at line 250 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWValTracksNumber

TH1F* m_neuroHWValTracksNumber = nullptr

private

Definition at line 241 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWValTSCountAx

TH1F* m_neuroHWValTSCountAx = nullptr

private

Definition at line 253 of file CDCTriggerNeuroDQMOnlineModule.h.

m_neuroHWValTSCountSt

TH1F* m_neuroHWValTSCountSt = nullptr

private

Definition at line 254 of file CDCTriggerNeuroDQMOnlineModule.h.

m_package

std::string m_package

privateinherited

Package this module is found in (may be empty).

Definition at line 509 of file Module.h.

m_propertyFlags

unsigned int m_propertyFlags

privateinherited

The properties of the module as bitwise or (with |) of EModulePropFlags.

Definition at line 511 of file Module.h.

m_RecoTracks

StoreArray<RecoTrack> m_RecoTracks

private

StoreArray for RecoTracks.

Definition at line 218 of file CDCTriggerNeuroDQMOnlineModule.h.

m_recoTracksName

std::string m_recoTracksName

private

Name for the RecoTrack array name.

Definition at line 193 of file CDCTriggerNeuroDQMOnlineModule.h.

m_recoZ

TH1F* m_recoZ = nullptr

private

Definition at line 233 of file CDCTriggerNeuroDQMOnlineModule.h.

m_recoZ_related

TH1F* m_recoZ_related = nullptr

private

Definition at line 234 of file CDCTriggerNeuroDQMOnlineModule.h.

m_returnValue

int m_returnValue

privateinherited

The return value.

Definition at line 518 of file Module.h.

m_simNeuroInputVector

StoreArray<CDCTriggerMLPInput> m_simNeuroInputVector

private

StoreArray for neuro input vector from TSIM.

Definition at line 216 of file CDCTriggerNeuroDQMOnlineModule.h.

m_simNeuroInputVectorName

std::string m_simNeuroInputVectorName

private

Name for simulated neuro input vector using HW TS, HW 2D.

Definition at line 191 of file CDCTriggerNeuroDQMOnlineModule.h.

m_simNeuroTracks

StoreArray<CDCTriggerTrack> m_simNeuroTracks

private

StoreArray for neuro tracks from TSIM.

Definition at line 214 of file CDCTriggerNeuroDQMOnlineModule.h.

m_simNeuroTracksName

std::string m_simNeuroTracksName

private

name of the storearray for hwsim tracks

Definition at line 189 of file CDCTriggerNeuroDQMOnlineModule.h.

m_type

std::string m_type

privateinherited

The type of the module, saved as a string.

Definition at line 508 of file Module.h.

m_unpacked2DTracks

StoreArray<CDCTriggerTrack> m_unpacked2DTracks

private

StoreArray for 2D finder tracks from unpacker.

Definition at line 204 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpacked2DTracksName

std::string m_unpacked2DTracksName

private

Name for 2D finder tracks from unpacker.

Definition at line 179 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInput2DTracks

StoreArray<CDCTriggerTrack> m_unpackedNeuroInput2DTracks

private

StoreArray for neuro input 2dfinder tracks.

Definition at line 210 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInput2DTracksName

std::string m_unpackedNeuroInput2DTracksName

private

Name for neuro input 2d finder tracks.

Definition at line 185 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputAllSegmentHits

StoreArray<CDCTriggerSegmentHit> m_unpackedNeuroInputAllSegmentHits

private

StoreArray for all TS hits from neuro unpacker.

Definition at line 202 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputAllSegmentHitsName

std::string m_unpackedNeuroInputAllSegmentHitsName

private

Name for TS hits from unpacker.

Definition at line 177 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputSegmentHits

StoreArray<CDCTriggerSegmentHit> m_unpackedNeuroInputSegmentHits

private

StoreArray for neuro input Track segments.

Definition at line 212 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputSegmentHitsName

std::string m_unpackedNeuroInputSegmentHitsName

private

Name for neuro input Track segments.

Definition at line 187 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputVector

StoreArray<CDCTriggerMLPInput> m_unpackedNeuroInputVector

private

StoreArray for neuro input vector from unpacker.

Definition at line 208 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroInputVectorName

std::string m_unpackedNeuroInputVectorName

private

Name for neuro input vector from unpacker.

Definition at line 183 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroTracks

StoreArray<CDCTriggerTrack> m_unpackedNeuroTracks

private

StoreArray for neuro tracks from unpacker.

Definition at line 206 of file CDCTriggerNeuroDQMOnlineModule.h.

m_unpackedNeuroTracksName

std::string m_unpackedNeuroTracksName

private

Name for neuro tracks from unpacker.

Definition at line 181 of file CDCTriggerNeuroDQMOnlineModule.h.

m_useRecoTracks

bool m_useRecoTracks

private

Switch to turn on use of recotracks.

Definition at line 196 of file CDCTriggerNeuroDQMOnlineModule.h.

m_useSimTracks

bool m_useSimTracks

private

Switch to turn on use of hw sim tracks.

Definition at line 198 of file CDCTriggerNeuroDQMOnlineModule.h.

---

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

• trg/cdc/modules/dqmneuro/include/CDCTriggerNeuroDQMOnlineModule.h
• trg/cdc/modules/dqmneuro/src/CDCTriggerNeuroDQMOnlineModule.cc