TupleEx2.py

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#!/usr/bin/env python3
 
"""
*******************************************************************************
*                                                                             *
* Simple example which illustrate the usage of useful                         *
* algorithm  base class for N-Tuple manipulations                             *
*                                                                             *
*******************************************************************************
"""
# =============================================================================
__author__ = "Vanya BELYAEV Ivan.Belyaev@lapp.in2p3.fr"
# =============================================================================
 
import GaudiPython
 
Rndm = GaudiPython.gbl.Rndm
Math = GaudiPython.gbl.ROOT.Math
SUCCESS = GaudiPython.SUCCESS
 
from GaudiPython.GaudiAlgs import TupleAlgo
 
# =============================================================================
# @class TupleEx2
#  Simple algorithm for advanced N-Tuple columns
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
class TupleEx2(TupleAlgo):
    """
    Simple algorithm for advanced N-Tuple columns
    """
 
    # standard constructor
    def __init__(self, name="TupleEx2"):
        """Constructor"""
        TupleAlgo.__init__(self, name)
 
    # the main execution method
    def execute(self):
        """The major method 'execute', it is invoked for each event"""
 
        gauss = Rndm.Numbers(self.randSvc(), Rndm.Gauss(0.0, 1.0))
 
        # N-tuple with 4D-vectors
        tup = self.nTuple("Vectors-4D", "N-tuple with 4D-vectors")
        for i in range(0, 100):
 
            lv1 = Math.PxPyPzEVector()
 
            lv1.SetPx(gauss())
            lv1.SetPy(gauss())
            lv1.SetPz(gauss())
            lv1.SetE(gauss())
 
            tup.column("lv1", lv1)
 
            tup.write()
 
        # N-tuple with 3D-vectors
        tup = self.nTuple("Vectors-3D", "N-tuple with 3D-vectors")
        for i in range(0, 100):
 
            v1 = Math.XYZVector()
            v1.SetX(gauss())
            v1.SetY(gauss())
            v1.SetZ(gauss())
 
            tup.column("v1", v1)
 
            tup.write()
 
        # N-tuple with 3D-points
        tup = self.nTuple("Points-3D", "N-tuple with 3D-points")
        for i in range(0, 100):
 
            p1 = Math.XYZPoint()
            p1.SetX(gauss())
            p1.SetY(gauss())
            p1.SetZ(gauss())
 
            tup.column("p1", p1)
 
            tup.write()
 
        return SUCCESS
 
 
# =============================================================================
# job configuration
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def configure(gaudi=None):
    """
    Configuration of the job
    """
 
    if not gaudi:
        gaudi = GaudiPython.AppMgr()
 
    gaudi.JobOptionsType = "NONE"
    gaudi.EvtSel = "NONE"
    gaudi.HistogramPersistency = "ROOT"
 
    gaudi.ExtSvc += ["NTupleSvc"]
 
    ntSvc = gaudi.service("NTupleSvc")
    ntSvc.Output = ["MYLUN DATAFILE='TupleEx2.root' OPT='NEW' TYP='ROOT'"]
 
    gaudi.config()
 
    gaudi.DLLs = [
        "GaudiAlg",
        "RootHistCnv",
    ]
 
    alg = TupleEx2()
    gaudi.setAlgorithms([alg])
 
    # configure the properties
    alg.NTupleLUN = "MYLUN"
 
    return SUCCESS
 
 
# =============================================================================
# The actual job execution
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
if "__main__" == __name__:
    print(__doc__)
    gaudi = GaudiPython.AppMgr()
    configure(gaudi)
    gaudi.run(20)
 
# =============================================================================
# The END
# =============================================================================