GaudiMP.Parallel Namespace Reference

Classes
class	SshSession
class	Statistics
class	Task
class	WorkManager

Functions
def	_prefunction (f, task, item)
def	_ppfunction (args)

Variables
	__all__
	(c) Copyright 1998-2023 CERN for the benefit of the LHCb and ATLAS collaborations # # This software is distributed under the terms of the Apache version 2 licence, # copied verbatim in the file "LICENSE". More...
	excluded_varnames

Function Documentation

_ppfunction()

def GaudiMP.Parallel._ppfunction (   args )

private

Definition at line 35 of file Parallel.py.

def _ppfunction(args):
    # --- Unpack arguments
    task, item = args
    stat = Statistics()
    # --- Initialize the remote side (at least once)
    if not task.__class__._initializeDone:
        for k, v in task.environ.items():
            if k not in excluded_varnames:
                os.environ[k] = v
        task.initializeRemote()
        task.__class__._initializeDone = True
    # --- Reset the task output
    task._resetOutput()
    # --- Call processing
    task.process(item)
    # --- Collect statistics
    stat.stop()
    return (copy.deepcopy(task.output), stat)
 
 

_prefunction()

def GaudiMP.Parallel._prefunction (   f,   task,   item  )

private

Definition at line 31 of file Parallel.py.

def _prefunction(f, task, item):
    return f((task, item))
 
 

Variable Documentation

__all__

GaudiMP.Parallel.__all__

private

(c) Copyright 1998-2023 CERN for the benefit of the LHCb and ATLAS collaborations # # This software is distributed under the terms of the Apache version 2 licence, # copied verbatim in the file "LICENSE".

# # In applying this licence, CERN does not waive the privileges and immunities # granted to it by virtue of its status as an Intergovernmental Organization # or submit itself to any jurisdiction. #

File: GaudiMP/Parallel.py Author: Pere Mato (pere..nosp@m.mato.nosp@m.@cern.nosp@m..ch)

Definition at line 21 of file Parallel.py.

excluded_varnames

GaudiMP.Parallel.excluded_varnames

Definition at line 22 of file Parallel.py.