python.scenario_fbdjshared Namespace Reference

Functions
def	scenario_fbdjshared (scenario, chainPartInd)

Function Documentation

scenario_fbdjshared()

def python.scenario_fbdjshared.scenario_fbdjshared	(		scenario,
			chainPartInd
	)

produce a list with two HelperToolConfigTool instances
This list will initialise a Gaudi ToolArray

This scenario has no arguments - it is illustrative only

The tree vector 0 is [0, 0, 0]
pos 0: root; pos 1 backward jet; pos 2 forward jet;

The tree vector 0 is [0, 0, 1, 1]
pos 0: root; pos 1 dijet; pos 2 dijet j0; pos 3 dijet j1;

There is a  Repeated Condition configurer for each position

No  conditions are filtered

Definition at line 9 of file scenario_fbdjshared.py.

def scenario_fbdjshared(scenario, chainPartInd):
    """produce a list with two HelperToolConfigTool instances
    This list will initialise a Gaudi ToolArray
 
    This scenario has no arguments - it is illustrative only
 
    The tree vector 0 is [0, 0, 0]
    pos 0: root; pos 1 backward jet; pos 2 forward jet;
 
    The tree vector 0 is [0, 0, 1, 1]
    pos 0: root; pos 1 dijet; pos 2 dijet j0; pos 3 dijet j1;
 
    There is a  Repeated Condition configurer for each position
 
    No  conditions are filtered"""
 
    assert scenario.startswith('FBDJSHARED'),\
        'routing error, module %s: bad scenario %s' % (__name__, scenario)
 
 
    # list for the repeatedCondition parameters
    repcondargs = []
    
    # find the constructor arguments for each elemental condition
    condargs = []
    
    # backward jet
    vals = defaults('et', lo='50')
    condargs.append(('et', vals))
    
    vals = defaults('neta', lo='-500')
    condargs.append(('neta', vals))
 
    repcondargs.append(RepeatedConditionParams(tree_id = 1,
                                               tree_pid=0,
                                               chainPartInd=chainPartInd,
                                               condargs=condargs))
 
    # forward jet
    condargs = []
 
    vals = defaults('et', lo='50')
    condargs.append(('et', vals))
 
    vals = defaults('peta', hi='500')
    condargs.append(('peta', vals))
 
    repcondargs.append(RepeatedConditionParams(tree_id = 2,
                                               tree_pid=0,
                                               chainPartInd=chainPartInd,
                                               condargs=condargs))
 
 
    # make pass through filter params for each condition in the tree.
    nconds = len(repcondargs)
    filterparams = []
    filterparam_inds = [-1 for i in range(nconds)]
 
    # treevec[i] gives the tree_id of the parent of the
    # node with tree_id = i
    treevec = make_treevec(repcondargs)
    assert treevec == [0, 0, 0]
    
    helperparams = HelperConfigToolParams(treevec=treevec,
                                          repcondargs=repcondargs,
                                          filterparams=filterparams,
                                          filterparam_inds=filterparam_inds)
    helperparamslist = [helperparams]
 
    
    
    # Conditions for the dijet
    repcondargs = []
    condargs = []
    vals = defaults('djmass', lo='34')
    condargs.append(('djmass', vals))
 
    vals = defaults('djdphi', lo='260')
    condargs.append(('djdphi', vals))
    
 
    repcondargs.append(RepeatedConditionParams(tree_id = 1,
                                               tree_pid=0,
                                               chainPartInd=-1,
                                               condargs=condargs))
 
 
    
    # Conditions for the dijet j1
    condargs = []
    vals = defaults('et', lo='10')
    condargs.append(('et', vals))
 
    vals = defaults('eta', lo='0', hi='490')
    condargs.append(('eta', vals))
 
    repcondargs.append(RepeatedConditionParams(tree_id = 2,
                                               tree_pid=1,
                                               chainPartInd=chainPartInd,
                                               condargs=condargs))
 
       
    # Conditions for the dijet j2
    condargs = []
    vals = defaults('et', lo='20')
    condargs.append(('et', vals))
 
    vals = defaults('eta', lo='0', hi='490')
    condargs.append(('eta', vals))
 
    repcondargs.append(RepeatedConditionParams(tree_id = 3,
                                               tree_pid=1,
                                               chainPartInd=chainPartInd,
                                               condargs=condargs))
 
 
    # make pass through filter params for each condition in the tree.
    nconds = len(repcondargs)
    filterparams = []
    filterparam_inds = [-1 for i in range(nconds)]
 
    # parameters to initalise the AlgTool that initialises the helper AlgTool
 
    # treevec[i] gives the tree_id of the parent of the
    # node with tree_id = i
    treevec = make_treevec(repcondargs)
    assert treevec == [0, 0, 1, 1]
 
    helperparams = HelperConfigToolParams(treevec=treevec,
                                           repcondargs=repcondargs,
                                           filterparams=filterparams,
                                           filterparam_inds=filterparam_inds)
    
    # a list is one entry per FastReduction tree
 
    assert len(repcondargs) == len(filterparam_inds)
 
    helperparamslist.append(helperparams)
    return helperparamslist