GaudiAlgs.py

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#!/usr/bin/env python
 
"""
*******************************************************************************
*                                                * 'Physisics do not like it, *
*                                                *  physisics do not need it, *
*                                                *  physisics do not use  it' *
*                                                * ****************************
*                                                                             *
* Helper module, which effectively 'imports' few useful C++ algorithmic       *
* base classes into Python                                                    *
*                                                                             *
*******************************************************************************
*              The major imported classes are :                               *
*                                                                             *
* (1) GaudiAlgo - analogue for GaudiAlgorithm C++ class from GaudiAlg package *
* (2) HistoAlgo - analogue for GaudiHistoAlg  C++ class from GaudiAlg package *
* (3) TupleAlgo - analogue for GaudiTupleAlg  C++ class from GaudiAlg package *
*******************************************************************************
"""
from __future__ import print_function
# =============================================================================
__author__ = 'Vanya BELYAEV  Ivan.Belyaev@lapp.in2p3.fr'
# =============================================================================
# list of "public" symbols
# =============================================================================
__all__ = (
    'GaudiAlgo',  # base class for algorithms
    'HistoAlgo',  # base class for histo-related algorithms
    'TupleAlgo',  # base class for tuple-related algorithms
    'Tuple',  # N-Tuple
    'HistoID',  # ID for N-tuples
    'TupleID',  # ID for Histograms
    'aida2root',  # AIDA -> ROOT converter
    'SUCCESS'  # status code
)
# =============================================================================
# import core of Gaudi
import GaudiPython.Bindings  # The basic module
iAlgorithm = GaudiPython.Bindings.iAlgorithm  # Algorithm interface
iAlgTool = GaudiPython.Bindings.iAlgTool  # Tool interface
 
from GaudiPython.Bindings import (
    SUCCESS,  # status code
    InterfaceCast,  # "queryInterface"
    iDataSvc,  # Data Service
    iHistogramSvc,  # Histogram Service
    iNTupleSvc,  # N-Tuple service
    AppMgr  # Application Manager
)
 
from GaudiPython.Bindings import gbl as cpp  # global C++ namepspace
from GaudiPython.HistoUtils import aida2root  # AIDA -> ROTO converter
 
from GaudiKernel import ROOT6WorkAroundEnabled
 
# =============================================================================
# std C++ namespace
std = cpp.std  # std C++ namespace
 
# "typedef" for GaudiPython::Vector
Vector = std.vector('double')
# "typedef" for GaudiPython::Matrix
Matrix = std.vector('std::vector<double>')
 
# histogram and N-Tuple universal identifier
HID = cpp.GaudiAlg.ID
HistoID = HID
TID = HID
TupleID = TID
 
# get the decorator:
AlgDecorator = cpp.GaudiPython.AlgDecorator
HistoDecorator = cpp.GaudiPython.HistoDecorator
TupleAlgDecorator = cpp.GaudiPython.TupleAlgDecorator
TupleDecorator = cpp.GaudiPython.TupleDecorator
 
# =============================================================================
# Useful method to locate the tool a certain
#
#  Usage:
#
#  @code
#
#      # locate public tool
#      t1 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator')
#      # locate private tool
#      t2 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator',parent=self)
#      # locate public tool with defined name
#      t3 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator/MyExt1')
#      # locate private tool with defined name
#      t4 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator/MyExt2',parent=self)
#      # locate public tool with defined name
#      t5 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator','MyExt3')
#      # locate private tool with defined name
#      t6 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator','MyExt4',parent=self)
#
#  @endcode
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _tool_(self, interface, typename, name=None, parent=None, create=True):
    """
    Useful method to locate the tool a certain
 
    Usage:
 
    # locate public tool
    t1 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator')
    # locate private tool
    t2 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator',parent=self)
    # locate public tool with defined name
    t3 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator/MyExt1')
    # locate private tool with defined name
    t4 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator/MyExt2',parent=self)
    # locate public tool with defined name
    t5 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator','MyExt3')
    # locate private tool with defined name
    t6 = self.tool(ITrExtrapolator,'TrParabolicExtrapolator','MyExt4',parent=self)
 
    """
    if not interface:
        interface = cpp.IAlgTool
    if not parent:
        parent = self
    if name:
        typename += '/' + name
    _tool = AlgDecorator.tool_(self, typename, parent, create)
    if not _tool:
        return None
    _tool = InterfaceCast(interface)(_tool)
    if not _tool:
        self.Warning('Invalid cast to interface %s' % interface)
        return None
    return _tool
 
 
# =============================================================================
# Useful method to locate a service:
#
#     Usage:
#
#  @code
#
#     ntsvc = self.svc( INTupleSvc , 'NTUpleSvc' )
#
#  @endcode
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _service_(self, interface, name, create=True):
    """
    Useful method to locate a service:
 
    Usage:
 
    ntsvc = self.svc( INTupleSvc , 'NTUpleSvc' )
 
    """
    if not interface:
        interface = cpp.IInterface
    _svc = AlgDecorator.svc_(self, name, create)
    if not _svc:
        return None
    _svc = InterfaceCast(interface)(_svc)
    if not _svc:
        self.Warning('Invalid cast to interface %s' % interface)
        return None
    return _svc
 
 
# =============================================================================
# The constructor from unique algorithm instance name,
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _init_(self, name, **args):
    """
    The constructor from unique algorithm instance name & parameters
    """
    self._Base.__init__(self, self, name)
    appMgr = AppMgr()
    algMgr = appMgr._algmgr
    status = algMgr.addAlgorithm(self)
    if status.isFailure():
        raise RuntimeError('Unable to add Algorithm "' + name + '"')
    self._ialg = iAlgorithm(name, self)
    for key in args:
        setattr(self, key, args[key])
    # take some care about the ownership of the algorithms
    if 'GaudiPythonAlgos' not in appMgr.__dict__:
        appMgr.__dict__['GaudiPythonAlgos'] = []
    appMgr.__dict__['GaudiPythonAlgos'].append(self)
 
 
# =============================================================================
# The default initialization (initialization of base C++ class + data
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _initialize_(self):
    """
    The default initialization (initialization of base C++ class + data)
    """
    status = self._Base.initialize_(self)
    if status.isFailure():
        return status
 
    # set the basic services
    _e = self._Base.evtSvc(self)
    _s = InterfaceCast(cpp.IService)(_e)
    self._evtSvc_ = iDataSvc(_s.name(), _e)
 
    _d = self._Base.detSvc(self)
    _s = InterfaceCast(cpp.IService)(_d)
    self._detSvc_ = iDataSvc(_s.name(), _d)
 
    return status
 
 
# =============================================================================
# The default initialization (initialization of base C++ class + data members)
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _initialize_histo_(self):
    """
    The default initialization (initialization of base C++ class + data members)
    """
    status = _initialize_(self)
    if status.isFailure():
        return status
 
    # set the basic services
    _h = self._Base.histoSvc(self)
    _s = InterfaceCast(cpp.IService)(_h)
    self._histoSvc_ = iHistogramSvc(_s.name(), _h)
 
    return status
 
 
# =============================================================================
# The default initialization (initialization of base C++ class + data members)
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _initialize_tuple_(self):
    """
    The default initialization (initialization of base C++ class + data members)
    """
    status = _initialize_histo_(self)
    if status.isFailure():
        return status
 
    # set the basic services
    if self.produceNTuples():
        _n = self._Base.ntupleSvc(self)
        _s = InterfaceCast(cpp.IService)(_n)
        self._ntupleSvc_ = iNTupleSvc(_s.name(), _n)
 
    if self.produceEvtCols():
        _n = self._Base.evtColSvc(self)
        _s = InterfaceCast(cpp.IService)(_n)
        self._evtcolSvc_ = iNTupleSvc(_s.name(), _n)
 
    return status
 
 
# =============================================================================
# Trivial helper function to access Event Data and Event Data Service
#
#    Usage:
#
#  @code
#
#    # get event data service
#    svc = self.evtSvc()
#
#    # get the data
#    hits = self.evtSvc('MC/Calo/Hits')
#
#  @endcode
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _evtSvc(self, location=None):
    """
    Trivial helper function to access Event Data and Event Data Service
 
    Usage:
 
    # get event data service
    svc = self.evtSvc()
 
    # get the data
    hits = self.evtSvc('MC/Calo/Hits')
    """
    if not location:
        return self._evtSvc_
    return self._evtSvc_[location]
 
 
# =============================================================================
# Trivial helper function to access Detector Data and Detector  Data Service
#
#    Usage:
#
#  @code
#
#    # get detector data service
#    svc = self.detSvc()
#
#    # get the data
#    lhcb = self.detSvc('/dd/Structure/LHCb')
#
#  @endcode
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _detSvc(self):
    """
    Trivial helper function to access Detector Data and Event Data Service
 
    Usage:
    # get detector data service
    svc = self.detSvc()
 
    # get the data
    lhcb = self.detSvc('/dd/Structure/LHCb')
    """
    if not location:
        return self._detSvc_
    return self._detSvc_[location]
 
 
# =============================================================================
# Trivial helper function to access Histogram  Data and Histogram  Data Service
#
#    Usage:
#
#  @code
#
#    # get histogram data service
#    svc = self.histoSvc()
#
#    # get the data
#    histo = self.histoSvc('/stat/Calo/1')
#
#  @endcode
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
def _histoSvc(self, address=None):
    """
    Trivial helper function to access Histogram  Data and Histogram  Data Service
 
    Usage:
 
    # get histogram data service
    svc = self.histoSvc()
 
    # get the data
    histo = self.histoSvc('/stat/Calo/1')
    """
    if not address:
        return self._histoSvc_
    return self._histoSvc_[address]
 
 
# =============================================================================
# Trivial function to access the data in TES
 
 
def _get(self, location):
    """
    Trivial function to access the data in TES using the data service
    """
    return self._evtSvc_[location]
 
 
# =============================================================================
# Trivial function to access the data in TDS
 
 
def _getDet(self, location):
    """
    Trivial function to access the data in TDS using data service
    """
    return self._detSvc_[location]
 
 
# =============================================================================
# get the data from TES using GaudiCommon methods, respecting RootInTES
 
 
def _get_(self, location, rootInTES=True):
    """
    Get the object from Transient Event Store using GaudiCommon machinery,
    respecting RootInTES behaviour
    """
    return AlgDecorator.get_(self, location, rootInTES)
 
 
# =============================================================================
# check the data from TES using GaudiCommon methods, respecting RootInTES
 
 
def _exist_(self, location, rootInTES=True):
    """
    Check  the object in Transient Event Store using GaudiCommon machinery,
    respecting RootInTES behaviour
    """
    return AlgDecorator.exist_(self, location, rootInTES)
 
 
# =============================================================================
# Trivial helper function to access NTuple Service
 
 
def _ntupleSvc(self):
    """
    Trivial function to access N-Tuple Service
    """
    return self._ntupleSvc_
 
 
# =============================================================================
# Trivial helper function to access Event Collection Service
 
 
def _evtcolSvc(self):
    """
    Trivial function to access Event Collection Service
    """
    return self._evtcolSvc_
 
 
# =============================================================================
# The default finalization (finalization of base C++ class)
def _finalize_(self):
    """
    The default finalization : finalize the base C++ class
    """
    status = self._Base.finalize_(self)
    return status
 
 
# =============================================================================
# Dummy method returning success
 
 
def _success_(self):
    return SUCCESS
 
 
# =============================================================================
# check the existence of the property with the given name
def _hasProperty_(self, pname):
    """
    The trivial function which checks the existence of the property with given name
    """
    return cpp.Gaudi.Utils.hasProperty(self, pname)
 
 
# =============================================================================
# get the value of the given property
 
 
def _getProperty_(self, pname):
    """
    Get the property by name
    """
    if not self.hasProperty(pname):
        raise AttributeError('property %s does not exist' % pname)
    return self._ialg.__getattr__(pname)
 
 
# =============================================================================
# set the value for the given property
 
 
def _setProperty_(self, pname, pvalue):
    """
    Set the property from the value
    """
    if not self.hasProperty(pname):
        raise AttributeError('property %s does not exist' % pname)
    return self._ialg.__setattr__(pname, pvalue)
 
 
# =============================================================================
# get the attribute or property
 
 
def _get_attr_(self, pname):
    """
    Get the attribute (or property)
    - if the attribute name corresponds to the property name, property value is returned
    """
    if self.hasProperty(pname):
        return self._ialg.__getattr__(pname)
    else:
        # Since self does not inherit from iAlgorithm (see !1116, 4f05f03678),
        # delegate attribute lookup to self._ialg.
        try:
            return getattr(self._ialg, pname)
        except AttributeError:
            pass
    raise AttributeError('attribute/property %s does not exist' % pname)
 
 
# =============================================================================
# set the attribute or property
 
 
def _set_attr_(self, pname, pvalue):
    """
    Set the attribute (or property) :
    - if the attribute name corresponds to the property name, the property is updated
    """
    if not self.hasProperty(pname):
        self.__dict__[pname] = pvalue
    else:
        self._ialg.__setattr__(pname, pvalue)
 
 
_GaudiAlgorithm = cpp.GaudiPython.PyAlg('GaudiAlgorithm')
_GaudiHistoAlg = cpp.GaudiPython.PyAlg('GaudiHistoAlg')
_GaudiTupleAlg = cpp.GaudiPython.PyAlg('GaudiTupleAlg')
 
# =============================================================================
# @class GaudiAlgo
#  the base class for all algorithm
#  Python-image of C++ clkass GaudiAlgorithm
#
#  Usage:
#
#  @code
#
#  from GauidPython.GaudiAlgs   import GaudiAlgo, SUCCESS
#
#  class MyClass(GaudiAlgo) :
#       """
#       My specific Algorithm, derived from GaudiAlgo base class
#       """
#       def __init__( self , name , **args ) :
#           """
#           Constructor from algorithm instance name & parameters'
#           """
#           #invoke the constructor of base class
#           GaudiAlgo.__init__(self , name , **args )
#
#       def initialize ( self ) :
#           'Algorithm initialization'
#           # initialize the base class
#           status = GaudiAlgo.initialize( self )
#           if status.isFailure() : return status
#
#           # locate the services and tools
#
#           # locate some tool:
#           extrapolator = self.tool(ITrExtrapolator,'TrExtrapolator')
#
#           # locate the service
#           rndmSvc = self.svc(IRndmGenSvc, 'RndmGenSvc')
#
#           return SUCCESS
#
#
#       def execute ( self ) :
#            'Major method (from IAlgorithm interface)'
#
#           # get some data from Transient Event Store
#           tracks = self.get('/Event/Rec/Tracks')
#
#           # use counters
#           c1 = self.counter('#Tracks')
#           c2 = self.counter('No Tracks')
#           if tracks.empty :
#              c2+=1
#           c1 += tracks->size()
#
#           if 1000 < tracks.size() :
#                return self.Error('The event is *VERY* busy')
#
#           return SUCCESS
#
#  @endcode
#
#  @see GaudiAlgorithm
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
class GaudiAlgo(_GaudiAlgorithm):
    """
*******************************************************************************
*                                                * 'Physisics do not like it, *
*                                                *  physisics do not need it, *
*                                                *  physisics do not use  it' *
*                                                * ****************************
*  Usage:                                                                     *
*                                                                             *
*  from GaudiPython.GaudiAlgs   import GaudiAlgo, SUCCESS                     *
*                                                                             *
*  class MyClass(GaudiAlgo) :                                                 *
*       ' My specific Algorithm, derived from GaudiAlgo base class '          *
*       def __init__( self , name , **args ) :                                *
*            'Constructor from algorithm instance name & parameters'          *
*             #invoke the constructor of base class                           *
*             GaudiAlgo.__init__(self , name , **args )                       *
*                                                                             *
*       def initialize ( self ) :                                             *
*           'Algorithm initialization'                                        *
*           # initialize the base class                                       *
*           status = GaudiAlgo.initialize( self )                             *
*           if status.isFailure() : return status                             *
*                                                                             *
*           # locate the services and tools                                   *
*                                                                             *
*           # locate some tool:                                               *
*           extrapolator = self.tool(ITrExtrapolator,'TrExtrapolator')        *
*                                                                             *
*           # locate the service                                              *
*           rndmSvc = self.svc(IRndmGenSvc, 'RndmGenSvc')                     *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
*                                                                             *
*       def execute ( self ) :                                                *
*            'Major method (from IAlgorithm interface)'                       *
*                                                                             *
*           # get some data from Transient Event Store                        *
*           tracks = self.get('/Event/Rec/Tracks')                            *
*                                                                             *
*           # use counters                                                    *
*           c1 = self.counter('#Tracks')                                      *
*           c2 = self.counter('No Tracks')                                    *
*           if tracks.empty :                                                 *
*              c2+=1                                                          *
*           c1 += tracks->size()                                              *
*                                                                             *
*           if 1000 < tracks.size() :                                         *
*                return self.Error('The event is *VERY* busy')                *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
*******************************************************************************
    """
    pass
 
 
# =============================================================================
# @class HistoAlgo
#  The base class for easy histogramming
#
#  Usage:
#
#
#  @code
#
#  from GaudiPython.GaudiAlgs import HistoAlgo, SUCCESS
#
#  class MyClass(HistoAlgo) :
#       ' My specific Algorithm, derived from GaudiAlgo base class '
#       def __init__( self , name , **args ) :
#            'Constructor from algorithm instance name & parameters'
#             #invoke the constructor of base class
#             HistoAlgo.__init__(self , name , **args )
#
#       def execute ( self ) :
#            'Major method (from IAlgorithm interface)'
#
#           # get some data from Transient Event Store
#           tracks = self.get('/Event/Rec/Tracks')
#
#           self.plot1D ( tracks->size() , '#tracks' , 0 , 100 )
#
#           return SUCCESS
#
#  @endcode
#
# Alternatively the histogram  could be booked in advance:
#
#  @code
#
#  class MyClass(HistoAlgo) :
#       ' My specific Algorithm, derived from GaudiAlgo base class '
#       def __init__( self , name ) :
#            'Constructor from algorithm instance name'
#             #invoke the constructor of base class
#             HistoAlgo.__init__(self , name )
#
#       def initialize ( self ) :
#           'Algorithm initialization'
#           # initialize the base class
#           status = HistoAlgo.initialize( self )
#           if status.isFailure() : return status
#
#           # book the histogram
#           self.h1 = selff.book1D ( '#tracks' , 0 , 100 )
#
#           return SUCCESS
#
#
#       def execute ( self ) :
#            'Major method (from IAlgorithm interface)'
#
#           # get some data from Transient Event Store
#           tracks = self.get('/Event/Rec/Tracks')
#
#           # fill the histogram
#           self.h1.fill ( tracks->size() )
#
#            return SUCCESS
#  @endcode
#
#  @see GaudiHistoAlg
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
class HistoAlgo(_GaudiHistoAlg):
    """
*******************************************************************************
*                                                * 'Physisics do not like it, *
*                                                *  physisics do not need it, *
*                                                *  physisics do not use  it' *
*                                                * ****************************
*  Usage:                                                                     *
*                                                                             *
*  from GaudiPython.GaudiAlgs import HistoAlgo, SUCCESS                       *
*                                                                             *
*  class MyClass(HistoAlgo) :                                                 *
*       ' My specific Algorithm, derived from GaudiAlgo base class '          *
*       def __init__( self , name , **args ) :                                *
*            'Constructor from algorithm instance name'                       *
*             #invoke the constructor of base class                           *
*             HistoAlgo.__init__(self , name , **args )                       *
*                                                                             *
*       def execute ( self ) :                                                *
*            'Major method (from IAlgorithm interface)'                       *
*                                                                             *
*           # get some data from Transient Event Store                        *
*           tracks = self.get('/Event/Rec/Tracks')                            *
*                                                                             *
*           self.plot1D ( tracks->size() , '#tracks' , 0 , 100 )              *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
* Alternatively the histogram  could be booked in advance:                    *
*                                                                             *
*  class MyClass(HistoAlgo) :                                                 *
*       ' My specific Algorithm, derived from GaudiAlgo base class '          *
*       def __init__( self , name ) :                                         *
*            'Constructor from algorithm instance name'                       *
*             #invoke the constructor of base class                           *
*             HistoAlgo.__init__(self , name )                                *
*                                                                             *
*       def initialize ( self ) :                                             *
*           'Algorithm initialization'                                        *
*           # initialize the base class                                       *
*           status = HistoAlgo.initialize( self )                             *
*           if status.isFailure() : return status                             *
*                                                                             *
*           # book the histogram                                              *
*           self.h1 = selff.book1D ( '#tracks' , 0 , 100 )                    *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
*                                                                             *
*       def execute ( self ) :                                                *
*            'Major method (from IAlgorithm interface)'                       *
*                                                                             *
*           # get some data from Transient Event Store                        *
*           tracks = self.get('/Event/Rec/Tracks')                            *
*                                                                             *
*           # fill the histogram                                              *
*           self.h1.fill ( tracks->size() )                                   *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
*******************************************************************************
    """
    pass
 
 
# =============================================================================
# @class TupleAlgo
#  The base class for easy manupulations with N-Tuples
#
#  Usage:
#
#  @code
#
#  from GaudiPython.GaudiAlgs import TupleAlgo, SUCCESS
#
#  class MyClass(TupleAlgo) :
#       ' My specific Algorithm, derived from TupleAlgo base class '
#       def __init__( self , name , **args ) :
#            'Constructor from algorithm instance name& parameters'
#             #invoke the constructor of base class
#             TupleAlgo.__init__(self , name , **args )
#
#       def execute ( self ) :
#            'Major method (from IAlgorithm interface)'
#
#           # get some data from Transient Event Store
#           tracks = self.get('/Event/Rec/Tracks')
#
#           tup = self.nTuple('My N-Tuple')
#
#           for track in tracks :
#
#                 pt   = track.pt   ()
#                 p    = track.p    ()
#                 chi2 = track.chi2 ()
#
#                 #fill N-tuple:
#                 tup.column ( 'pt'   ,  pt   )
#                 tup.column ( 'p'    ,  p    )
#                 tup.column ( 'chi2' ,  chi2 )
#                 #commit the row
#                 tup.write  ()
#
#           return SUCCESS
#
#  @endcode
#
#  @see GaudiTupleAlg
#
#  @author Vanya BELYAEV ibelyaev@physics.syr.edu
#  @date 2006-11-26
 
 
class TupleAlgo(_GaudiTupleAlg):
    """
*******************************************************************************
*                                                * 'Physisics do not like it, *
*                                                *  physisics do not need it, *
*                                                *  physisics do not use  it' *
*                                                * ****************************
*  Usage:                                                                     *
*                                                                             *
*  from GaudiPython.GaudiAlgs import TupleAlgo, SUCCESS                       *
*                                                                             *
*  class MyClass(TupleAlgo) :                                                 *
*       ' My specific Algorithm, derived from TupleAlgo base class '          *
*       def __init__( self , name , **args ) :                                *
*            'Constructor from algorithm instance name & parameters'          *
*             #invoke the constructor of base class                           *
*             TupleAlgo.__init__(self , name , **args )                       *
*                                                                             *
*       def execute ( self ) :                                                *
*            'Major method (from IAlgorithm interface)'                       *
*                                                                             *
*           # get some data from Transient Event Store                        *
*           tracks = self.get('/Event/Rec/Tracks')                            *
*                                                                             *
*           tup = self.nTuple('My N-Tuple')                                   *
*                                                                             *
*           for track in tracks :                                             *
*                                                                             *
*                 pt   = track.pt   ()                                        *
*                 p    = track.p    ()                                        *
*                 chi2 = track.chi2 ()                                        *
*                                                                             *
*                 #fill N-tuple:                                              *
*                 tup.column ( 'pt'   ,  pt   )                               *
*                 tup.column ( 'p'    ,  p    )                               *
*                 tup.column ( 'chi2' ,  chi2 )                               *
*                 #commit the row                                             *
*                 tup.write  ()                                               *
*                                                                             *
*           return SUCCESS                                                    *
*                                                                             *
*******************************************************************************
    """
    pass
 
 
class objectmethod(object):
    def __init__(self, m):
        self.method = m
 
    def __call__(self, *args):
        print(args)
        return self.method(*args)
 
 
GaudiAlgo._Base = _GaudiAlgorithm
HistoAlgo._Base = _GaudiHistoAlg
TupleAlgo._Base = _GaudiTupleAlg
 
# initialize is 'unique' method :
GaudiAlgo.initialize = _initialize_
HistoAlgo.initialize = _initialize_histo_
TupleAlgo.initialize = _initialize_tuple_
 
 
def _start_(self):
    """
    The stub 'start' method needed by the internal implementation of PyAlg<>.
    """
    # return self._Base.start_(self)
    return SUCCESS
 
 
GaudiAlgo.start = _start_
HistoAlgo.start = _start_
TupleAlgo.start = _start_
 
 
def _execute_(self):
    """
    The fictive 'execute' method, which MUST be overwitten by user
    """
    raise RuntimeError(
        'Execute method is not implemented for %s' % self.name())
 
 
GaudiAlgo.execute = _execute_
HistoAlgo.execute = _execute_
TupleAlgo.execute = _execute_
 
 
def _stop_(self):
    """
    The stub 'stop' method needed by the internal implementation of PyAlg<>.
    """
    # return self._Base.stop_(self)
    return SUCCESS
 
 
GaudiAlgo.stop = _stop_
HistoAlgo.stop = _stop_
TupleAlgo.stop = _stop_
 
# =============================================================================
 
 
def _plot1D_(s, *a):
    """
    The basic method to fill (book-on-demand) 1D-histogram
 
    The histogram will be created/booked dautomatically according to the
    specifications:
 
       - literal or numerical ID (optional)
       - title
       - low edge
       - high edge
       - number of bins (default is 100)
 
    The reference to the histogram is returned and could be used for later manipulations
 
    """
    return HistoDecorator.plot1D(s, *a)
 
 
# =============================================================================
 
 
def _plot2D_(s, *a):
    """
    The basic method to fill (book-on-demand) 2D-histogram
 
    The histogram will be created/booked dautomatically according to the
    specifications:
 
       - literal or numerical ID (optional)
       - title
       - low X-edge
       - high X-edge
       - low Y-edge
       - high Y-edge
       - number of X-bins (default is 50)
       - number of Y-bins (default is 50)
 
    The reference to the histogram is returned and could be used for later manipulations
 
    """
    return HistoDecorator.plot2D(s, *a)
 
 
# =============================================================================
 
 
def _plot3D_(s, *a):
    """
    The basic method to fill (book-on-demand) 3D-histogram
 
    The histogram will be created/booked dautomatically according to the
    specifications:
 
       - literal or numerical ID (optional)
       - title
       - low X-edge
       - high X-edge
       - low Y-edge
       - high Y-edge
       - low Z-edge
       - high Z-edge
       - number of X-bins (default is 10)
       - number of Y-bins (default is 10)
       - number of Y-bins (default is 10)
 
    The reference to the histogram is returned and could be used for later manipulations
 
    """
    return HistoDecorator.plot3D(s, *a)
 
 
# =============================================================================
 
 
def _profile1D_(s, *a):
    """
    The basic method to fill (book-on-demand) 1D profile histogram
 
    The profile histogram will be created/booked dautomatically
    according to the specifications:
 
       - literal or numerical ID (optional)
       - title
       - low X-edge
       - high X-edge
       - number of X-bins (default is 100)
 
    The reference to the histogram is returned and could be used for later manipulations
 
    """
    return HistoDecorator.profile1D(s, *a)
 
 
# =============================================================================
 
 
def _profile2D_(s, *a):
    """
    The basic method to fill (book-on-demand) 2D profile histiogram
 
    The profile histogram will be created/booked automatically
    according to the specifications:
 
       - literal or numerical ID (optional)
       - title
       - low X-edge
       - high X-edge
       - low Y-edge
       - high Y-edge
       - number of X-bins (default is 50)
       - number of Y-bins (default is 50)
 
    The reference to the histogram is returned and could be used for later manipulations
 
    """
    return HistoDecorator.profile2D(s, *a)
 
 
# =============================================================================
 
_plot1D_.__doc__ += '\n' + HistoDecorator.plot1D.__doc__
_plot2D_.__doc__ += '\n' + HistoDecorator.plot2D.__doc__
_plot3D_.__doc__ += '\n' + HistoDecorator.plot3D.__doc__
_profile1D_.__doc__ += '\n' + HistoDecorator.profile1D.__doc__
_profile2D_.__doc__ += '\n' + HistoDecorator.profile2D.__doc__
 
 
def _decorate_plots_(klasses):
    t = type(klasses)
    if not issubclass(t, list) and  \
       not issubclass(t, tuple):
        klasses = [klasses]
    for klass in klasses:
        klass.plot = _plot1D_
        klass.plot1D = _plot1D_
        klass.plot2D = _plot2D_
        klass.plot3D = _plot3D_
        klass.profile1D = _profile1D_
        klass.profile2D = _profile2D_
 
 
_decorate_plots_(HistoAlgo)
_decorate_plots_(TupleAlgo)
 
 
# =============================================================================
def _nTuple_(s, *a):
    """
    Retrieve (book-on-demand) N-Tuple object
    """
    return TupleAlgDecorator.nTuple(s, *a)
 
 
# =============================================================================
 
 
def _evtCol_(s, *a):
    """
    Retrieve (book-on-demand) N-Tuple object for Event Tag Collections
    """
    return TupleAlgDecorator.evtCol(s, *a)
 
 
_nTuple_.__doc__ += '\n' + TupleAlgDecorator.nTuple.__doc__
_evtCol_.__doc__ += '\n' + TupleAlgDecorator.evtCol.__doc__
 
 
def _decorate_tuples_(klasses):
    t = type(klasses)
    if not issubclass(t, list) and  \
       not issubclass(t, tuple):
        klasses = [klasses]
    for klass in klasses:
        klass.nTuple = _nTuple_
        klass.evtCol = _evtCol_
        klass.ntupleSvc = _ntupleSvc
        klass.tupleSvc = _ntupleSvc
        klass.ntupSvc = _ntupleSvc
        klass.tupSvc = _ntupleSvc
        klass.evtColSvc = _evtcolSvc
        klass.evtcolSvc = _evtcolSvc
 
 
# ==========================================================
_decorate_tuples_(TupleAlgo)
 
# "decorate N-Tuple object
Tuple = cpp.Tuples.Tuple
_Dec = TupleDecorator
 
 
class TupleDecColumnDispatcher(object):
    '''Helper decorator class to workaround ROOT-6697'''
 
    def __init__(self, func):
        self.func = func
        self.__doc__ = func.__doc__
        dispatcher = func.disp if hasattr(func, 'disp') else func.__overload__
 
        mapping = {int: 'int', bool: 'bool', float: 'double'}
        for k in mapping:
            signature = 'const Tuples::Tuple& tuple, const string& name, const %s value' % (
                mapping[k])
            mapping[k] = dispatcher(signature)
        self.mapping = mapping
 
    def __call__(self, *a):
        '''
        Explicitly call the explicit signature for the case with 3 arguments and
        the last one is 'int', 'bool' or 'float', for the other cases fall back
        on the default dispatcher.
        '''
        if len(a) == 3:
            t = type(a[-1])
            try:
                return self.mapping[t](*a)
            except KeyError:
                pass
        return self.func(*a)
 
 
if ROOT6WorkAroundEnabled('ROOT-6697') and (hasattr(
        _Dec.column, "disp") or hasattr(_Dec.column, "__overload__")):
    _Dec.column = TupleDecColumnDispatcher(_Dec.column)
 
 
def _t_nTuple_(s, *a):
    """
    Access to underlying INTuple object
    """
    return _Dec.nTuple(s, *a)
 
 
def _t_ntuple_(s, *a):
    """
    Access to underlying NTuple::Tuple object
    """
    return _Dec.ntuple(s, *a)
 
 
def _t_valid_(s, *a):
    """
    Valid NTuple::Tuple object?
    """
    return _Dec.valid(s, *a)
 
 
def _t_write_(s, *a):
    """
    Commit the row/record to n-tuple
    """
    return _Dec.write(s, *a)
 
 
def _t_column_(s, *a):
    """
    Fill the certain column to n-tuple
    """
    return _Dec.column(s, *a)
 
 
def _t_column_ll_(s, *a):
    """
    Fill the 'long long' column
    """
    return _Dec.column_ll(s, *a)
 
 
def _t_column_ull_(s, *a):
    """
    Fill the 'unsigned long long' column
    """
    return _Dec.column_ull(s, *a)
 
 
def _t_array_(s, *a):
    """
    Fill the fixed-size array column
    """
    return _Dec.array(s, *a)
 
 
def _t_matrix_(s, *a):
    """
    Fill the fixed-size matrix column
    """
    return _Dec.matrix(s, *a)
 
 
def _t_farray_(s, *a):
    """
    Fill the floating-size array column
    """
    return _Dec.farray(s, *a)
 
 
def _t_fmatrix_(s, *a):
    """
    Fill the floating-size matrix column
    """
    return _Dec.fmatrix(s, *a)
 
 
_t_nTuple_.__doc__ += '\n' + _Dec.nTuple.__doc__
_t_ntuple_.__doc__ += '\n' + _Dec.ntuple.__doc__
_t_valid_.__doc__ += '\n' + _Dec.valid.__doc__
_t_write_.__doc__ += '\n' + _Dec.write.__doc__
_t_column_.__doc__ += '\n' + _Dec.column.__doc__
_t_column_ll_.__doc__ += '\n' + _Dec.column_ll.__doc__
_t_column_ull_.__doc__ += '\n' + _Dec.column_ull.__doc__
_t_array_.__doc__ += '\n' + _Dec.array.__doc__
_t_matrix_.__doc__ += '\n' + _Dec.matrix.__doc__
_t_farray_.__doc__ += '\n' + _Dec.farray.__doc__
_t_fmatrix_.__doc__ += '\n' + _Dec.fmatrix.__doc__
 
Tuple.nTuple = _t_nTuple_
Tuple.ntuple = _t_ntuple_
Tuple.valid = _t_valid_
Tuple.write = _t_write_
Tuple.column = _t_column_
Tuple.column_ll = _t_column_ll_
Tuple.column_ull = _t_column_ull_
Tuple.array = _t_array_
Tuple.matrix = _t_matrix_
Tuple.farray = _t_farray_
Tuple.fmatrix = _t_fmatrix_
 
_alg_map_ = {
    '__init__': _init_,  # constructor
    'tool': _tool_,  # service locator
    'svc': _service_,  # tool locator
    'evtSvc': _evtSvc,  # event data service
    'eventSvc': _evtSvc,  # event data service
    'detSvc': _detSvc,  # detector data service
    'histoSvc': _histoSvc,  # histogram data service
    'histSvc': _histoSvc,  # histogram data service
    'get': _get,  # access to  event data
    'get_': _get_,  # access to  event data
    'exist_': _exist_,  # check  the event data
    'getDet': _getDet,  # access to detector data
    'finalize': _finalize_,  # algorithm finalization
    #
    'hasProperty':
    _hasProperty_,  # check the existence of property with given name
    'getProperty': _getProperty_,  # get the property value with given name
    'setProperty': _setProperty_,  # set the property with given name
    '__setattr__': _set_attr_,  # set the attribute/property with given name
    '__getattr__': _get_attr_  # set the attribute/property with given name
}
 
 
# decorate the classes with the useful methods
def _decorate_algs_(klasses):
    t = type(klasses)
    if not issubclass(t, list) and  \
       not issubclass(t, tuple):
        klasses = [klasses]
    for _alg in klasses:
        for key in _alg_map_:
            setattr(_alg, key, _alg_map_[key])
 
 
# =
_decorate_algs_(GaudiAlgo)
_decorate_algs_(HistoAlgo)
_decorate_algs_(TupleAlgo)
 
# =============================================================================
# Helper function to fill histogram/ntuple using 'map'-operation
# =============================================================================
 
 
def mapvct(func, sequence, ovct=None):
    """ Helper function to fill histogram/ntuple using 'map'-operation """
    if not ovct:
        vct = GaudiPython.Vector
    else:
        vct = ovct
    if hasattr(sequence, 'size'):
        vct.reserve(vct.size() + sequence.size())
    elif hasattr(sequence, '__len__'):
        vct.reserve(vct.size() + len(sequence))
    for object in sequence:
        vct.push_back(func(object))
    if not ovct:
        return vct
 
 
# =============================================================================
 
 
# =============================================================================
# get the list of tools
# =============================================================================
def _get_all_tools_(self, method):
    """
    Get all tools
    """
    _tools = std.vector('IAlgTool*')()
    _func = getattr(AlgDecorator, method)
    _num = _func(self, _tools)
    if _tools.size() != _num:
        raise RuntimeError('Unable to extract Tools')
    _res = []
    for _tool in _tools:
        _res += [iAlgTool(_tool.name(), _tool)]
    return _res
 
 
# =============================================================================
 
 
def _Tools_a_(self):
    """
    Retrieve the list of tools,
        aquired by component through GaudiCommon<TYPE> base:
 
    >>> alg   = ...             ## get the algorithm
    >>> tools = alg.Tools()     ## get the tools
    >>> for tool in tools :
    ...        print(tool)
 
    """
    _cmp = getattr(self, '_ialg')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_ialg')
    return _get_all_tools_(_cmp, '_tools_a_')
 
 
# =============================================================================
 
 
def _Tools_t_(self):
    """
    Retrieve the list of tools,
        aquired by component through GaudiCommon<TYPE> base:
 
    >>> tool  = ...              ## get the tool
    >>> tools = tool.Tools()     ## get the tools
    >>> for t in tools :
    ...        print(t)
 
    """
    _cmp = getattr(self, '_itool')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_itool')
    return _get_all_tools_(_cmp, '_tools_t_')
 
 
# =============================================================================
# get the counter
# =============================================================================
 
 
def _get_counter_(self, method, name):
    """
    get the counter
    """
    _func = getattr(AlgDecorator, method)
    return _func(self, name)
 
 
# ==============================================================================
 
 
def _Counter_a_(self, name):
    """
    Retrieve the counter managed GaudiCommon<TYPE> base by name:
 
    >>> alg  = ...                     ## get the algorithm
    >>> cnt  = alg.Counter('#accept')  ## get the counter
    >>> print(cnt)
 
    """
    _cmp = getattr(self, '_ialg')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_ialg')
    return _get_counter_(_cmp, '_counter_a_', name)
 
 
# ==============================================================================
 
 
def _Counter_t_(self, name):
    """
    Retrieve the counter managed GaudiCommon<TYPE> base by name:
 
    >>> tool = ...                      ## get the tool
    >>> cnt  = tool.Counter('#accept')  ## get the counter
    >>> print(cnt)
 
    """
    _cmp = getattr(self, '_itool')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_itool')
    return _get_counter_(_cmp, '_counter_t_', name)
 
 
# =============================================================================
# get all histos
# =============================================================================
cpp.GaudiAlg.ID.__repr__ = cpp.GaudiAlg.ID.idAsString
cpp.GaudiAlg.ID.__str__ = cpp.GaudiAlg.ID.idAsString
cpp.StatEntity.__repr__ = cpp.StatEntity.toString
cpp.StatEntity.__str__ = cpp.StatEntity.toString
 
# =============================================================================
 
 
def _get_all_histos_(component, method, name):
    """
    Get All histogram form the component
    """
    _res = {}
    for _his in (std.vector('AIDA::IProfile2D*'),
                 std.vector('AIDA::IProfile1D*'),
                 std.vector('AIDA::IHistogram3D*'),
                 std.vector('AIDA::IHistogram2D*'),
                 std.vector('AIDA::IHistogram1D*')):
        _his = _his()
        _ids = std.vector('GaudiAlg::ID')()
        _fun = getattr(HistoDecorator, method)
        _num = _fun(component, _ids, _his)
        if _ids.size() != _num or _his.size() != _num:
            raise RuntimeError('Unable to extract Histos!')
        for _i in range(0, _num):
            _id = _ids[_i]
            if _id.numeric():
                _id = _id.numericID()
            elif _id.literal():
                _id = _id.literalID()
            else:
                _id = _is.idAsString()
            _res[_id] = _his[_i]
 
    if not name:
        return _res  # return the dictionary
 
    id = cpp.GaudiAlg.ID(name)
    for i in (name, id.literalID(), id.numericID(), id.idAsString(), id):
        h = _res.get(i, None)
        if not not h:
            return h  # return the histogram
 
    return None
 
 
# =============================================================================
 
 
def _Histos_a_(self, name=None):
    """
    Retrieve all histograms & profiles, booked through GauydiHistos<TYPE> base:
 
    >>> alg = ...              ## get the algorithm
    >>> histos = alg.Histos()  ## get all histograms & profiles
    >>> for key in histos :
    ...        print(key, histos[key])
 
    Retrive the histogram with the certain ID :
 
    >>> alg = ...                           ## get the algorithm
    >>> histo = alg.Histos('some histo ID') ## get the histo by ID
    >>> print(histo)
 
    """
    _cmp = getattr(self, '_ialg')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_ialg')
    return _get_all_histos_(_cmp, '_histos_a_', name)
 
 
# =============================================================================
 
 
def _Histos_t_(self, name=None):
    """
    Retrieve all histograms & profiles, booked through GauydiHistos<TYPE> base:
 
    >>> tool = ...              ## get the tool
    >>> histos = tool.Histos()  ## get all histograms & profiles
    >>> for key in histos :
    ...        print(key, histos[key])
 
    Retrive the historgam with certain ID :
 
    >>> tool = ...                           ## get the tool
    >>> histo = tool.Histos('some histo ID') ## get the histo by ID
    >>> print(histo)
 
    """
    _cmp = getattr(self, '_itool')
    if not _cmp:
        self.retrieveInterface()
    _cmp = getattr(self, '_itool')
    return _get_all_histos_(_cmp, '_histos_t_', name)
 
 
# =============================================================================
 
_Tools_a_.__doc__ += '\n' + AlgDecorator._tools_a_.__doc__
_Tools_t_.__doc__ += '\n' + AlgDecorator._tools_t_.__doc__
_Counter_a_.__doc__ += '\n' + AlgDecorator._counter_a_.__doc__
_Counter_t_.__doc__ += '\n' + AlgDecorator._counter_t_.__doc__
_Histos_a_.__doc__ += '\n' + HistoDecorator._histos_a_.__doc__
_Histos_t_.__doc__ += '\n' + HistoDecorator._histos_t_.__doc__
 
iAlgorithm.Tools = _Tools_a_
iAlgTool.Tools = _Tools_t_
iAlgorithm.Counter = _Counter_a_
iAlgTool.Counter = _Counter_t_
iAlgorithm.Histos = _Histos_a_
iAlgTool.Histos = _Histos_t_
 
# finally add some decoration for histograms
import GaudiPython.HistoUtils
 
# =============================================================================
# pseudo help
# =============================================================================
 
 
def _help_():
    print(__doc__, __author__)
    print('\t\t\tDoc-string for class GaudiAlgo \n', GaudiAlgo.__doc__)
    print('\t\t\tDoc-string for class HistoAlgo \n', HistoAlgo.__doc__)
    print('\t\t\tDoc-string for class TupleAlgo \n', TupleAlgo.__doc__)
 
 
# =============================================================================
# pseudo-test suite
# =============================================================================
if __name__ == '__main__':
    _help_()
 
# =============================================================================
# The END
# =============================================================================