Classes
class	_DummyClass

class	_SetEventCounter

Functions
def	init (v_theApp, v_rootStream=None)

def	retrieve (aClass, aKey=None)

def	retrieveDet (aClass, aKey=None)

def	fill (hist, classAndKey, value, criteria="True", nEvent=100)

def	plot (classAndKey, value="$x", criteria="True", nEvent=100)

def	fill2 (hist, classAndKey, valueX, valueY, criteria="True", nEvent=100)

def	plot2 (classAndKey, valueX="$x", valueY="$x", criteria="True", nEvent=100)

def	fillProf (hist, classAndKey, valueX, valueY, criteria="True", nEvent=100)

def	plotProf (classAndKey, valueX="$x", valueY="$x", criteria="True", nEvent=100)

def	_parseString (str)

def	dumpSG ()

def	unregister (path)

def	dumpHist ()

def	preProcess ()

def	normalProcess ()

def	hybridProcess ()

Variables
string	__docformat__ = "restructuredtext en"

	GNS = cppyy.gbl

int	_PreProcess = 0

int	_NormalProcess = 1

int	_HybridProcess = 2

	AttributeList

	AANT

	storeGate = None

	detStore = None

Function Documentation

◆ _parseString()

def python.PyKernel._parseString ( str )

private

Definition at line 719 of file PyKernel.py.

 def _parseString (str):
     # remove $
     str = re.sub(r"\$", "", str)
     # replace XXX#YYY with StoreGate access
     cK = re.findall(r'([\w_]+)#([\w_\*]+)',str)
     for iCK in cK:
         # when XXX#*
         if iCK[1]=='*':
             bStr = iCK[0]+r"#\*"
             aStr = 'retrieve(GNS.'+iCK[0]+')'
         else:
             bStr = iCK[0]+"#"+iCK[1]
             aStr = 'retrieve(GNS.'+iCK[0]+',"'+iCK[1]+'")'
         str = re.sub(bStr, aStr, str)
     return str    
  
  
 # dump objects in StoreGate

◆ dumpHist()

def python.PyKernel.dumpHist ( )

Dump histograms in HistogramSvc

**examples**::

  athena> dumpHist()

Definition at line 765 of file PyKernel.py.

 def dumpHist ():
     '''
     Dump histograms in HistogramSvc
  
     **examples**::
  
       athena> dumpHist()
       
     '''
     theApp.histSvc().dump()
  
  
 # set event loop type to pre-process

◆ dumpSG()

def python.PyKernel.dumpSG ( )

Dump objects in StoreGate

**examples**::

  athena> dumpSG()

Definition at line 737 of file PyKernel.py.

 def dumpSG ():
     '''
     Dump objects in StoreGate
  
     **examples**::
  
       athena> dumpSG()
       
     '''
     print (GNS.StoreGate.pointer().dump())
  
  
 # unregister histogram from HistogramSvc

◆ fill()

def python.PyKernel.fill	(	hist,
		classAndKey,
		value,
		criteria = `"True"`,
		nEvent = `100`
	)

Fill 1D-histogram

:param hist: reference to AIDA or ROOT histogram
:param classAndKey: combination of class name and key separeted with "#". "Class#Key"
:param value: physics parameter in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

**examples**::

  athena> fill(h,"ElectronContainer#ElectronCollection","$x.pt()")
      fill hist with pt of electrons
     "$x" denotes an element of "Class#Key", if "Class#Key" is a collection
   
  athena> fill(h,"MissingET#MET_Calib","$x.sumet()")
      fill hist with et of MissingET.
      "$x" denotes "Class#Key" itself, if "Class#Key" is not a vector-like class
      
  athena> fill(h,"ElectronContainer#ElectronCollection","$x.pt()","$x.pz()>0")
      apply a selection criteria
      
For more detail of parameters, see `PyAnalysisExamples/PlotTest.py`_

.. _PyAnalysisExamples/PlotTest.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/PhysicsAnalysis/PyAnalysis/PyAnalysisExamples/share/PlotTest.py?rev=HEAD&content-type=text/vnd.viewcvs-markup

Definition at line 168 of file PyKernel.py.

 def fill (hist, classAndKey, value, criteria="True", nEvent=100):
     '''
     Fill 1D-histogram
     
     :param hist: reference to AIDA or ROOT histogram
     :param classAndKey: combination of class name and key separeted with "#". "Class#Key"
     :param value: physics parameter in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     **examples**::
  
       athena> fill(h,"ElectronContainer#ElectronCollection","$x.pt()")
           fill hist with pt of electrons
          "$x" denotes an element of "Class#Key", if "Class#Key" is a collection
        
       athena> fill(h,"MissingET#MET_Calib","$x.sumet()")
           fill hist with et of MissingET.
           "$x" denotes "Class#Key" itself, if "Class#Key" is not a vector-like class
           
       athena> fill(h,"ElectronContainer#ElectronCollection","$x.pt()","$x.pz()>0")
           apply a selection criteria
           
     For more detail of parameters, see `PyAnalysisExamples/PlotTest.py`_
  
     .. _PyAnalysisExamples/PlotTest.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/PhysicsAnalysis/PyAnalysis/PyAnalysisExamples/share/PlotTest.py?rev=HEAD&content-type=text/vnd.viewcvs-markup
     
     '''
  
     # number of buffered events
     bufEvent = nEvent
     if nEvent > 100:
         bufEvent = 100
  
     # convert class&key to a store gate access
     commandSG = "None"
     if classAndKey != "":
         commandSG = _parseString(classAndKey)
  
     # build commands
     if callable(value):
         # if function pointer
         commandV = "value()"
     else:
         # if string, parse value/criteria     
         commandV = _parseString(value)
     if callable(criteria):
         # if function pointer        
         commandC = "criteria()"
     else:
         # if string, parse value/criteria             
         commandC = _parseString(criteria)
  
     # initialize application mgr
     theApp.initialize()
  
     # buffer to determine x-range of histgram
     buf = []
  
     # loop over nEvent
     for iE in range(nEvent):
         # get object from SG
         theApp.nextEvent()
         try:
             obj = eval(commandSG)
  
             # check if the obj is a vector-like class
             if hasattr(obj,'size') and hasattr(obj,'__getitem__'):
                 lSize = obj.size()
                 isCollection = True
             else:
                 lSize = 1
                 isCollection = False
             # if NULL
             if obj == 0:
                 lSize = 0                
         except Exception:
             lSize = 0
  
         # loop over all elements
         for iC in range(lSize):
             # parameter name "x" must be consistent with the parsed strings
             if isCollection:
                 x = obj[iC]  # noqa: F841
             else:
                 x = obj  # noqa: F841
  
             # eval value/criteria commands
             try:
                 vX = eval(commandV)
                 vC = eval(commandC)
  
                 # evaluate vC/vX. "vC" and "vX" must be consistent with commands
                 if vC:
                     if iE < bufEvent:
                         buf.append(vX)
                     else:
                         h.Fill(vX)  # noqa: F405
             except Exception:
                 pass
  
             # if not a collection escape from loop
             if not isCollection:
                 break
             
         # create Histogram
         if (iE+1) == bufEvent:
             if len(buf)==0:
                 minX=0
             else:    
                 minX = min(buf)
                 
             if minX<0:
                 minX *= 1.1
             elif minX>0:
                 minX *= 0.9
             else:
                 minX = -1
  
             if len(buf)==0:
                 maxX=0
             else:    
                 maxX = max(buf)
                 
             if maxX<0:
                 maxX *= 0.9
             elif maxX>0:
                 maxX *= 1.1
             else:
                 maxX = 1
  
             # create histogram if hist is None
             if hist is None:
                 lpath = '/stat/tmp/PyKernelHist'
                 unregister(lpath)
                 # determine title of histo
                 if callable(value):
                     title = value.__name__
                 else:
                     title = value
                 h = book(lpath, title, 100, minX, maxX)  # noqa: F405
             else:
                 h = hist
  
     # buffered elements
     for vB in buf:
         h.Fill(vB)
  
     return h
  
  
 # plot a histogram

◆ fill2()

def python.PyKernel.fill2	(	hist,
		classAndKey,
		valueX,
		valueY,
		criteria = `"True"`,
		nEvent = `100`
	)

Fill 2D-histogram

:param hist: reference to AIDA or ROOT histogram
:param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
:param valueX: physics parameter for X in string
:param valueY: physics parameter for Y in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

For detail, see `fill`

Definition at line 349 of file PyKernel.py.

 def fill2 (hist, classAndKey, valueX, valueY, criteria="True", nEvent=100):
     """Fill 2D-histogram
     
     :param hist: reference to AIDA or ROOT histogram
     :param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
     :param valueX: physics parameter for X in string
     :param valueY: physics parameter for Y in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     For detail, see `fill`
     
     """
  
     # number of buffered events
     bufEvent = nEvent
     if nEvent > 100:
         bufEvent = 100
  
     # convert class&key to a store gate access
     commandSG = "None"
     if classAndKey != "":
         commandSG = _parseString(classAndKey)
     
     # build commands
     if callable(valueX):
         # if function pointer
         commandX = "valueX()"
     else:
         # if string, parse value/criteria     
         commandX = _parseString(valueX)
     if callable(valueY):
         # if function pointer
         commandY = "valueY()"
     else:
         # if string, parse value/criteria     
         commandY = _parseString(valueY)
     if callable(criteria):
         # if function pointer        
         commandC = "criteria()"
     else:
         # if string, parse value/criteria             
         commandC = _parseString(criteria)
  
     # initialize application mgr
     theApp.initialize()
  
     # buffer to determine xy-range of histgram
     bufX = []
     bufY = []    
     
     # loop over nEvent
     for iE in range(nEvent):
         # get object from SG
         theApp.nextEvent()        
         try:
             obj = eval(commandSG)
  
             # check if the obj is a vector-like class
             if hasattr(obj,'size') and hasattr(obj,'__getitem__'):
                 lSize = obj.size()
                 isCollection = True
             else:
                 lSize = 1
                 isCollection = False
             # if NULL
             if obj == 0:
                 lSize = 0                
         except Exception:
             lSize = 0            
         
         # loop over all elements
         for iC in range(lSize):
             # parameter name "x" must be consistent with the parsed strings
             if isCollection:
                 x = obj[iC]  # noqa: F841
             else:
                 x = obj  # noqa: F841
  
             # eval value/criteria commands
             try:
                 vX = eval(commandX)
                 vY = eval(commandY)
                 vC = eval(commandC)
  
                 # evaluate vC/vX. "vC" and "vX" must be consistent with commands
                 if vC:
                     if iE < bufEvent:
                         bufX.append(vX)
                         bufY.append(vY)                        
                     else:
                         h.Fill(vX,vY)  # noqa: F405
             except Exception:
                 pass
                             
             # if not a collection escape from loop
             if not isCollection:
                 break
  
         # create Histogram
         if (iE+1) == bufEvent:
             if len(bufX)==0:
                 minX=0
             else:    
                 minX = min(bufX)
                 
             if minX<0:
                 minX *= 1.1
             elif minX>0:
                 minX *= 0.9
             else:
                 minX = -1
                 
             if len(bufX)==0:
                 maxX=0
             else:    
                 maxX = max(bufX)
                 
             if maxX<0:
                 maxX *= 0.9
             elif maxX>0:
                 maxX *= 1.1
             else:
                 maxX = 1
  
             if len(bufY)==0:
                 minY=0
             else:    
                 minY = min(bufY)
                 
             if minY<0:
                 minY *= 1.1
             elif minY>0:
                 minY *= 0.9
             else:
                 minY = -1
  
             if len(bufY)==0:
                 maxY=0
             else:    
                 maxY = max(bufY)
                 
             if maxY<0:
                 maxY *= 0.9
             elif maxY>0:
                 maxY *= 1.1
             else:
                 maxY = 1
  
             # create histogram if hist is None
             if hist is None:
                 lpath = '/stat/tmp/PyKernelHist'
                 unregister(lpath)
                 # determine title of histo
                 if callable(valueX):
                     titleX = valueX.__name__
                 else:
                     titleX = valueX                    
                 if callable(valueY):
                     titleY = valueY.__name__
                 else:
                     titleY = valueY
                 h = book(lpath, titleY+" vs "+titleX, 100, minX, maxX, 100, minY, maxY)  # noqa: F405
             else:
                 h = hist
  
     # buffered elements
     for iB in range(len(bufX)):
         vX = bufX[iB]
         vY = bufY[iB]
         h.Fill(vX,vY)
         
     return h    
  
  
 # plot 2D histogram

◆ fillProf()

def python.PyKernel.fillProf	(	hist,
		classAndKey,
		valueX,
		valueY,
		criteria = `"True"`,
		nEvent = `100`
	)

Fill profile-histogram

:param hist: reference to AIDA or ROOT histogram
:param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
:param valueX: physics parameter for X in string
:param valueY: physics parameter for Y in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

For detail, see `fill`

Definition at line 546 of file PyKernel.py.

 def fillProf (hist, classAndKey, valueX, valueY, criteria="True", nEvent=100):
     """Fill profile-histogram
     
     :param hist: reference to AIDA or ROOT histogram
     :param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
     :param valueX: physics parameter for X in string
     :param valueY: physics parameter for Y in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     For detail, see `fill`
     
     """
  
     # number of buffered events
     bufEvent = nEvent
     if nEvent > 100:
         bufEvent = 100
  
     # convert class&key to a store gate access
     commandSG = "None"
     if classAndKey != "":
         commandSG = _parseString(classAndKey)
     
     # build commands
     if callable(valueX):
         # if function pointer
         commandX = "valueX()"
     else:
         # if string, parse value/criteria     
         commandX = _parseString(valueX)
     if callable(valueY):
         # if function pointer
         commandY = "valueY()"
     else:
         # if string, parse value/criteria     
         commandY = _parseString(valueY)
     if callable(criteria):
         # if function pointer        
         commandC = "criteria()"
     else:
         # if string, parse value/criteria             
         commandC = _parseString(criteria)
  
     # initialize application mgr
     theApp.initialize()
  
     # buffer to determine xy-range of histgram
     bufX = []
     bufY = []    
     
     # loop over nEvent
     for iE in range(nEvent):
         # get object from SG
         theApp.nextEvent()        
         try:
             obj = eval(commandSG)
  
             # check if the obj is a vector-like class
             if hasattr(obj,'size') and hasattr(obj,'__getitem__'):
                 lSize = obj.size()
                 isCollection = True
             else:
                 lSize = 1
                 isCollection = False
             # if NULL
             if obj == 0:
                 lSize = 0                
         except Exception:
             lSize = 0            
         
         # loop over all elements
         for iC in range(lSize):
             # parameter name "x" must be consistent with the parsed strings
             if isCollection:
                 x = obj[iC]  # noqa: F841
             else:
                 x = obj  # noqa: F841
  
             # eval value/criteria commands
             try:
                 vX = eval(commandX)
                 vY = eval(commandY)
                 vC = eval(commandC)
  
                 # evaluate vC/vX. "vC" and "vX" must be consistent with commands
                 if vC:
                     if iE < bufEvent:
                         bufX.append(vX)
                         bufY.append(vY)                        
                     else:
                         h.Fill(vX,vY)  # noqa: F405
             except Exception:
                 pass
                             
             # if not a collection escape from loop
             if not isCollection:
                 break
  
         # create Histogram
         if (iE+1) == bufEvent:
             if len(bufX)==0:
                 minX=0
             else:    
                 minX = min(bufX)
                 
             if minX<0:
                 minX *= 1.1
             elif minX>0:
                 minX *= 0.9
             else:
                 minX = -1
                 
             if len(bufX)==0:
                 maxX=0
             else:    
                 maxX = max(bufX)
                 
             if maxX<0:
                 maxX *= 0.9
             elif maxX>0:
                 maxX *= 1.1
             else:
                 maxX = 1
  
             # create histogram if hist is None
             if hist is None:
                 lpath = '/stat/tmp/PyKernelHist'
                 unregister(lpath)
                 # determine title of histo
                 if callable(valueX):
                     titleX = valueX.__name__
                 else:
                     titleX = valueX                    
                 if callable(valueY):
                     titleY = valueY.__name__
                 else:
                     titleY = valueY                    
                 h = bookProf(lpath, titleY+" vs "+titleX, 100, minX, maxX)  # noqa: F405
             else:
                 h = hist
  
     # buffered elements
     for iB in range(len(bufX)):
         vX = bufX[iB]
         vY = bufY[iB]
         h.Fill(vX,vY)
         
     return h    
  
  
 # plot profileD histogram

◆ hybridProcess()

def python.PyKernel.hybridProcess ( )

Set event loop type to hybrid-process

Definition at line 800 of file PyKernel.py.

 def hybridProcess ():
     '''
     Set event loop type to hybrid-process
  
     '''
     global eventLoopType
     eventLoopType = _HybridProcess

◆ init()

def python.PyKernel.init	(	v_theApp,
		v_rootStream = `None`
	)

Initialize core

This method is called in `PyKernel/InitPyKernel.py`_.

:param v_theApp: reference to the application manager. theApp

**examples**::

  athena> PyKernel.init(theApp)

.. _PyKernel/InitPyKernel.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/Control/PyKernel/share/InitPyKernel.py?rev=HEAD&content-type=text/vnd.viewcvs-markup

Definition at line 45 of file PyKernel.py.

 def init (v_theApp, v_rootStream=None):
     """Initialize core
  
     This method is called in `PyKernel/InitPyKernel.py`_.
     
     :param v_theApp: reference to the application manager. theApp
  
     **examples**::
  
       athena> PyKernel.init(theApp)
  
     .. _PyKernel/InitPyKernel.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/Control/PyKernel/share/InitPyKernel.py?rev=HEAD&content-type=text/vnd.viewcvs-markup  
       
     """
     # application manager
     global theApp
     theApp = v_theApp
     # root stream
     global rootStream
     rootStream = v_rootStream
     # event loop type
     global eventLoopType
     eventLoopType = _HybridProcess
     # event counter
     global curEvent
     curEvent = 0
     if hasattr (theApp,  'curEvent'):
         # patch some methods
         method = "nextEvent"
         mobj = _SetEventCounter(method)
         setattr(theApp.__class__,method,mobj)
         method = "run"
         mobj = _SetEventCounter(method)
         setattr(theApp.__class__,method,mobj)
  
  
 # a function object to set event counter in ROOT stream

◆ normalProcess()

def python.PyKernel.normalProcess ( )

Set event loop type to normal-process

Definition at line 790 of file PyKernel.py.

 def normalProcess ():
     '''
     Set event loop type to normal-process
  
     '''
     global eventLoopType    
     eventLoopType = _NormalProcess
     
  
 # set event loop type to hybrid-process

◆ plot()

def python.PyKernel.plot	(	classAndKey,
		value = `"$x"`,
		criteria = `"True"`,
		nEvent = `100`
	)

Plot 1D-histogram

:param classAndKey: combination of class name and key separeted with '#'. 'Class#Key'
:param value: physics parameter in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

**examples**::

  athena> plot('ElectronContainer#ElectronCollection','$x.pt()')
      plot pt of electrons
      
For detail, see `PyAnalysisExamples/PlotTest.py`_

.. _PyAnalysisExamples/PlotTest.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/PhysicsAnalysis/PyAnalysis/PyAnalysisExamples/share/PlotTest.py?rev=HEAD&content-type=text/vnd.viewcvs-markup

Definition at line 320 of file PyKernel.py.

 def plot (classAndKey, value="$x", criteria="True", nEvent=100):
     """Plot 1D-histogram
     
     :param classAndKey: combination of class name and key separeted with '#'. 'Class#Key'
     :param value: physics parameter in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     **examples**::
  
       athena> plot('ElectronContainer#ElectronCollection','$x.pt()')
           plot pt of electrons
           
     For detail, see `PyAnalysisExamples/PlotTest.py`_
  
     .. _PyAnalysisExamples/PlotTest.py: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/PhysicsAnalysis/PyAnalysis/PyAnalysisExamples/share/PlotTest.py?rev=HEAD&content-type=text/vnd.viewcvs-markup
     
     """
   
     # fill a histogram
     h = fill (None, classAndKey, value, criteria, nEvent)
     # draw 
     h.Draw()
     # this return is needed to draw up the canvas.
     # note that PyKernel._hSave = h doesn't work although it keeps the hist in memory  
     return h
  
  
 # fill 2D histogram

◆ plot2()

def python.PyKernel.plot2	(	classAndKey,
		valueX = `"$x"`,
		valueY = `"$x"`,
		criteria = `"True"`,
		nEvent = `100`
	)

Plot 2D-histogram

:param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
:param valueX: physics parameter for X in string
:param valueY: physics parameter for Y in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

For detail, see `plot`

Definition at line 525 of file PyKernel.py.

 def plot2 (classAndKey, valueX="$x", valueY="$x", criteria="True", nEvent=100):
     """Plot 2D-histogram
     
     :param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
     :param valueX: physics parameter for X in string
     :param valueY: physics parameter for Y in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     For detail, see `plot`
     
     """
     h = fill2 (None, classAndKey, valueX, valueY, criteria, nEvent)
     # draw 
     h.Draw('BOX')
     # this return is needed to draw up the canvas.
     # note that PyKernel._hSave = h doesn't work although it keeps the hist in memory  
     return h
  
     
 # fill profile histogram

◆ plotProf()

def python.PyKernel.plotProf	(	classAndKey,
		valueX = `"$x"`,
		valueY = `"$x"`,
		criteria = `"True"`,
		nEvent = `100`
	)

Plot profile-histogram

:param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
:param valueX: physics parameter for X in string
:param valueY: physics parameter for Y in string
:param criteria: selection criteria
:param nEvent: number of event to be processed

For detail, see `plot`

Definition at line 698 of file PyKernel.py.

 def plotProf (classAndKey, valueX="$x", valueY="$x", criteria="True", nEvent=100):
     """Plot profile-histogram
     
     :param classAndKey: combination of class name and key separeted with '#', 'Class#Key'
     :param valueX: physics parameter for X in string
     :param valueY: physics parameter for Y in string
     :param criteria: selection criteria
     :param nEvent: number of event to be processed
  
     For detail, see `plot`
     
     """
     h = fillProf (None, classAndKey, valueX, valueY, criteria, nEvent)
     # draw 
     h.Draw()
     # this return is needed to draw up the canvas.
     # note that PyKernel._hSave = h doesn't work although it keeps the hist in memory  
     return h
  
     
 # parse string

◆ preProcess()

def python.PyKernel.preProcess ( )

Set event loop type to pre-process

Definition at line 778 of file PyKernel.py.

 def preProcess ():
     '''
     Set event loop type to pre-process
  
     '''
     global curEvent
     curEvent = theApp.curEvent()
     global eventLoopType    
     eventLoopType = _PreProcess
  
  
 # set event loop type to normal-process

◆ retrieve()

def python.PyKernel.retrieve	(	aClass,
		aKey = `None`
	)

Retrieve object from StoreGate

:param aClass: type of the class
:param aKey: key of the object

**examples**::

  athena> obj = PyKernel.retrieve(g.MyClass,'mykey')
  athena> obj = PyKernel.retrieve(g.MyClass)  # when only one MyClass obj is in SG
      where the prefix 'g' is the global namespace provided by cppyy
      g = cppyy.gbl

Definition at line 110 of file PyKernel.py.

 def retrieve (aClass, aKey=None):
     """Retrieve object from StoreGate
     
     :param aClass: type of the class
     :param aKey: key of the object
  
     **examples**::
  
       athena> obj = PyKernel.retrieve(g.MyClass,'mykey')
       athena> obj = PyKernel.retrieve(g.MyClass)  # when only one MyClass obj is in SG
           where the prefix 'g' is the global namespace provided by cppyy
           g = cppyy.gbl
  
     """
     #import workaround
     if aClass == GNS.AttributeList:
         return rootStream        
     if aClass == GNS.AANT:
         return rootStream
     global storeGate
     if storeGate is None:
         import AthenaPython.PyAthena as PyAthena
         storeGate = PyAthena.py_svc('StoreGateSvc/StoreGateSvc')
     if aKey:
         ret = storeGate.retrieve(aClass,aKey)
     else:
         ret = storeGate.retrieve(aClass)
     return ret
  
  
 # retrieve object from DetectorStore

◆ retrieveDet()

def python.PyKernel.retrieveDet	(	aClass,
		aKey = `None`
	)

Retrieve object from DetectorStore

:param aClass: type of the class
:param aKey: key of the object

**examples**::

  athena> obj = PyKernel.retrieveDet(g.MyClass,'mykey')
  athena> obj = PyKernel.retrieveDet(g.MyClass) # when only one MyClass obj is in SG
      where the prefix 'g' is the global namespace provided by cppyy
      g = cppyy.gbl

Definition at line 141 of file PyKernel.py.

 def retrieveDet (aClass, aKey=None):
     """Retrieve object from DetectorStore
     
     :param aClass: type of the class
     :param aKey: key of the object
  
     **examples**::
     
       athena> obj = PyKernel.retrieveDet(g.MyClass,'mykey')
       athena> obj = PyKernel.retrieveDet(g.MyClass) # when only one MyClass obj is in SG
           where the prefix 'g' is the global namespace provided by cppyy
           g = cppyy.gbl
           
     """
     #import workaround    
     global detStore
     if detStore is None:
         import AthenaPython.PyAthena as PyAthena
         storeGate = PyAthena.py_svc('StoreGateSvc/DetectorStore')  # noqa: F841
     if aKey:
         ret = detStore.retrieve(aClass,aKey)
     else:
         ret = detStore.retrieve(aClass)        
     return ret
  
  
 # fill a histogram

◆ unregister()

def python.PyKernel.unregister ( path )

Unregister histogram from HistogramSvc

:param path: path to the histogram

**examples**::

  athena> unregister("/stat/tmpHist")

Definition at line 750 of file PyKernel.py.

 def unregister (path):
     '''
     Unregister histogram from HistogramSvc
     
     :param path: path to the histogram
  
     **examples**::
  
       athena> unregister("/stat/tmpHist")
       
     '''
     return theApp.histSvc().unregisterObject(path)
  
  
 # dump histograms in HistogramSvc

Variable Documentation

◆ docformat

string python.PyKernel.__docformat__ = "restructuredtext en"

private

Definition at line 15 of file PyKernel.py.

◆ _HybridProcess

int python.PyKernel._HybridProcess = 2

private

Definition at line 32 of file PyKernel.py.

◆ _NormalProcess

int python.PyKernel._NormalProcess = 1

private

Definition at line 31 of file PyKernel.py.

◆ _PreProcess

int python.PyKernel._PreProcess = 0

private

Definition at line 30 of file PyKernel.py.

◆ AANT

python.PyKernel.AANT

Definition at line 37 of file PyKernel.py.

◆ AttributeList

python.PyKernel.AttributeList

Definition at line 36 of file PyKernel.py.

◆ detStore

python.PyKernel.detStore = None

Definition at line 41 of file PyKernel.py.

◆ GNS

python.PyKernel.GNS = cppyy.gbl

Definition at line 25 of file PyKernel.py.

◆ storeGate

python.PyKernel.storeGate = None

Definition at line 40 of file PyKernel.py.

Classes

Functions

Variables

Function Documentation

◆ _parseString()

◆ dumpHist()

◆ dumpSG()

◆ fill()

◆ fill2()

◆ fillProf()

◆ hybridProcess()

◆ init()

◆ normalProcess()

◆ plot()

◆ plot2()

◆ plotProf()

◆ preProcess()

◆ retrieve()

◆ retrieveDet()

◆ unregister()

Variable Documentation

◆ __docformat__

◆ _HybridProcess

◆ _NormalProcess

◆ _PreProcess

◆ AANT

◆ AttributeList

◆ detStore

◆ GNS

◆ storeGate

◆ docformat