| # Gaudi Framework, version v21r8 |

Home |  | Generated: 17 Mar 2010

# GaudiPython::Parallel Namespace Reference

## Classes
class | Statistics
class | Task
class | WorkManager
class | SshSession
class | CollectHistograms
class | Reader
class | Worker
class | Writer
## Functions
def | _prefunction
def | _ppfunction
def | _detect_ncpus
def | setupSystem
def | getOutputList
def | dumpHistograms
def | dumpTES
def | dumpTEStoMessage
def | loadTES
## Variables
list | __all__ = [ 'Task','WorkManager' ]
list | excluded_varnames = ['HOSTNAME', 'SSH_CLIENT', 'SSH_CONNECTION', 'DISPLAY']
| aida2root = gbl.Gaudi.Utils.Aida2ROOT.aida2root
tuple | aidatypes
tuple | thtypes = ( gbl.TH1D, gbl.TH2D, gbl.TH3D, gbl.TProfile, gbl.TProfile2D )
string | gppHead = '[ GaudiPythonParallel ] '
string | line = '-'

## Function Documentation

def GaudiPython::Parallel::_detect_ncpus | ( |  | ) | `[private]`

    Detects the number of effective CPUs in the system

Definition at line 45 of file Parallel.py.

    00045                    :
    00046     """Detects the number of effective CPUs in the system"""
    00047     #for Linux, Unix and MacOS
    00048     if hasattr(os, "sysconf"):
    00049         if os.sysconf_names.has_key("SC_NPROCESSORS_ONLN"):
    00050             #Linux and Unix
    00051             ncpus = os.sysconf("SC_NPROCESSORS_ONLN")
    00052             if isinstance(ncpus, int) and ncpus > 0:
    00053                 return ncpus
    00054             else:
    00055                 #MacOS X
    00056                 return int(os.popen2("sysctl -n hw.ncpu")[1].read())
    00057     #for Windows
    00058     if os.environ.has_key("NUMBER_OF_PROCESSORS"):
    00059         ncpus = int(os.environ["NUMBER_OF_PROCESSORS"]);
    00060         if ncpus > 0:
    00061             return ncpus
    00062     #return the default value
    00063     return 1
    00064
    class Statistics(object):

def GaudiPython::Parallel::_ppfunction | ( |  | args | ) | `[private]`

Definition at line 27 of file Parallel.py.

    00027                         :
    00028     #--- Unpack arguments
    00029     task, item = args
    00030     stat = Statistics()
    00031     #--- Initialize the remote side (at least once)
    00032     if not task.__class__._initializeDone :
    00033         for k,v in task.environ.items() :
    00034             if k not in excluded_varnames : os.environ[k] = v
    00035         task.initializeRemote()
    00036         task.__class__._initializeDone = True
    00037     #--- Reset the task output
    00038     task._resetOutput()
    00039     #--- Call processing
    00040     task.process(item)
    00041     #--- Collect statistics
    00042     stat.stop()
    00043     return (copy.deepcopy(task.output), stat)
    00044
    def _detect_ncpus():

def GaudiPython::Parallel::_prefunction | ( |  | f,
|  |  | task,
|  |  | item |
| ) |  |  | `[private]`

Definition at line 25 of file Parallel.py.

    00025                                  :
    00026     return f((task,item))
    def _ppfunction( args ) :

def GaudiPython::Parallel::dumpHistograms | ( |  | hvt,
|  |  | node = `'Unspecified'`,
|  |  | omitList = `[]` |
| ) |  |  |

Definition at line 306 of file Parallel.py.

    00306                                                            :
    00307     nlist = hvt.getHistoNames( )
    00308     throw = []
    00309     for om in omitList :
    00310         for name in nlist :
    00311             if name.startswith(om) : throw.append(name)
    00312     [ nlist.remove(name) for name in throw ]
    00313     del throw
    00314     histDict = {}
    00315     objects = 0 ; histos = 0
    00316     if nlist :
    00317         for n in nlist :
    00318             o = hvt[ n ]
    00319             if type(o) in aidatypes :
    00320                 o = aida2root(o)
    00321                 histos  += 1
    00322             else :
    00323                 objects += 1
    00324             histDict[ n ] = o
    00325     else :
    00326         print head+'WARNING : no histograms to recover?'
    00327     # print line
    00328     # print '%s : Histos collected'%(node)
    00329     # print 'Objects : %i'%( objects    )
    00330     # print 'Histos  : %i'%( histos     )
    00331     # print 'Total   : %i'%( len(histDict.keys()) )
    00332     # print line
    00333     return histDict
    00334
    def dumpTES( someClass ) :

def GaudiPython::Parallel::dumpTES | ( |  | someClass | ) |

Definition at line 335 of file Parallel.py.

    00335                          :
    00336     buf = TBufferFile(TBuffer.kWrite)
    00337     someClass.ts.dumpBuffer(buf)
    00338     return buf
    00339
    def dumpTEStoMessage( self ) :

def GaudiPython::Parallel::dumpTEStoMessage | ( |  | self | ) |

Definition at line 340 of file Parallel.py.

    00340                              :
    00341     buf = TMessage()
    00342     self.ts.dumpBuffer(buf)
    00343     return buf
    00344
    def loadTES( someClass, tbuf ) :

def GaudiPython::Parallel::getOutputList | ( |  | configuration | ) |

Definition at line 292 of file Parallel.py.

    00292                                    :
    00293     writers = configuration['ApplicationMgr'].OutStream
    00294     print 'setupSystem: OutStreams identified : ', writers
    00295     # check which tes items are for writing by looking at the writer algorithm settings
    00296     # remove the trailing '#n' (sub-level notation for writer algorithms)
    00297     outct = 0
    00298     itmlst = []
    00299     for w in writers :
    00300         if hasattr(w,'Output') :
    00301             for itm in w.ItemList + w.OptItemList :
    00302                 hsh = itm.find('#')
    00303                 itmlst.append(itm[:hsh])
    00304     return itmlst
    00305
    def dumpHistograms( hvt, node='Unspecified', omitList=[] ) :

def GaudiPython::Parallel::loadTES | ( |  | someClass,
|  |  | tbuf |
| ) |  |  |

Definition at line 345 of file Parallel.py.

    00345                                :
    00346     # Using TMessages/TSockets, we DON'T do SetBufferOffset/ReadMode.  But we are using TBufferFiles
    00347     # so it must be done always
    00348     # if someClass.__class__.__name__ == 'Worker'  : tbuf.SetBufferOffset() ; tbuf.SetReadMode()
    00349     # if someClass.__class__.__name__ == 'Writer'  : tbuf.SetBufferOffset() ; tbuf.SetReadMode()
    00350     tbuf.SetBufferOffset() ; tbuf.SetReadMode()
    00351     root = gbl.DataObject()
    00352     someClass.evt.setRoot('/Event', root)
    00353     setOwnership(root, False)
    00354     someClass.ts.loadBuffer(tbuf)
    00355
    class CollectHistograms( PyAlgorithm ) :

def GaudiPython::Parallel::setupSystem | ( |  | nWorkers,
|  |  | config |
| ) |  |  |

Definition at line 234 of file Parallel.py.

    00234                                   :
    00235     qLimit = 50
    00236     inq         = Queue( )                                        # the Queue from Reader->(Workers)
    00237     outQs       = [ Queue( qLimit ) for i in xrange(nWorkers) ]   # One outQueue for each Worker->Writer
    00238
    00239     commonQueue = Queue( )                                        # Common Queue from setupSystem->(everyone) (for signals)
    00240     qToParent   = Queue( )                                        # Common Queue from (everyone)->setupSystem (for signals)
    00241
    00242     cStatQueue  = Queue( )                                        # A common queue, shared for (Workers)->Writer
    00243     rHistQ      = Queue( )                                        # A special Queue from Reader->Writer (bypassing workers)
    00244
    00245     # keys of the config dictionary
    00246     ks = config.keys()
    00247     ks.sort()
    00248
    00249     # determine application
    00250     apps = ['Gauss', 'Boole', 'Brunel', 'DaVinci']
    00251     _app = None
    00252     for app in apps :
    00253         if app in ks : _app = app
    00254
    00255     # determine output streams
    00256     outs = [ 'Output', 'OutputFile', 'OutStream' ]
    00257     outlist = []
    00258     for k in ks :
    00259         for o in outs :
    00260             if hasattr( config[k], o ) :  outlist.append(k)
    00261
    00262     itmlst = getOutputList( config )
    00263
    00264     # create Reader/Worker/Writer classes
    00265     w   =  Writer(        commonQueue, outQs,    cStatQueue, rHistQ, qToParent, nWorkers, config, qLimit, _app )
    00266     wks = [Worker(i, inq, commonQueue, outQs[i], cStatQueue,         qToParent, nWorkers, config, qLimit, _app, itemlist=itmlst) for i in xrange(nWorkers)]
    00267     r   =  Reader(   inq, commonQueue,                       rHistQ, qToParent, nWorkers, config, qLimit, _app )
    00268
    00269     nProcesses = nWorkers+2   # workers + (reader + writer)
    00270     nSenders   = nWorkers+1   # workers + reader, the writer doesn't send anything
    00271     nc = 0
    00272
    00273     # collect statistics dicts from each worker
    00274     store = [] ; hFlagCt = 0
    00275     while nc < nProcesses :
    00276         item = qToParent.get()
    00277         if item    == 'h' : print 'HFLAG RECEIVED BY SETUPSYSTEM' ; [commonQueue.put(None) for i in xrange(nSenders)]
    00278         if not item : nc += 1 # ; print 'Parent : NC now: %i'%( nc )
    00279     # print ' PARENT : all None flags received'
    00280     wks = []
    00281     for dictionary in store :
    00282         if dictionary['name'] == 'Worker' : wks.append(dictionary)
    00283         if dictionary['name'] == 'Reader' : reader = dictionary
    00284         if dictionary['name'] == 'Writer' : writer = dictionary
    00285     # print 'PARENT recording stats'
    00286     # recordReaderStats( reader )
    00287     # recordWorkerStats( wks )
    00288     # recordWriterStats( writer )
    00289     # print ' ==================================================== PARENT FINISHED, RETURNING'
    00290     return True
    00291
    def getOutputList( configuration ) :

## Variable Documentation

list GaudiPython::Parallel::__all__ = [ 'Task','WorkManager' ]

Definition at line 12 of file Parallel.py.

GaudiPython::Parallel::aida2root = gbl.Gaudi.Utils.Aida2ROOT.aida2root

Definition at line 223 of file Parallel.py.

tuple GaudiPython::Parallel::aidatypes

Initial value:

    ( gbl.AIDA.IHistogram,
                  gbl.AIDA.IHistogram1D,
                  gbl.AIDA.IHistogram2D,
                  gbl.AIDA.IHistogram3D,
                  gbl.AIDA.IProfile1D,
                  gbl.AIDA.IProfile2D )

Definition at line 224 of file Parallel.py.

list GaudiPython::Parallel::excluded_varnames = ['HOSTNAME', 'SSH_CLIENT', 'SSH_CONNECTION', 'DISPLAY']

Definition at line 13 of file Parallel.py.

string GaudiPython::Parallel::gppHead = '[ GaudiPythonParallel ] '

Definition at line 231 of file Parallel.py.

string GaudiPython::Parallel::line = '-'

Definition at line 232 of file Parallel.py.

tuple GaudiPython::Parallel::thtypes = ( gbl.TH1D, gbl.TH2D, gbl.TH3D, gbl.TProfile, gbl.TProfile2D )

Definition at line 230 of file Parallel.py.