ChainMerging Namespace Reference

Functions
def	mergeChainDefs (listOfChainDefs, chainDict, perSig_lengthOfChainConfigs=None)
def	check_leg_lengths (perSig_lengthOfChainConfigs)
def	mergeParallel (chainDefList, offset, leg_numbering=None, perSig_lengthOfChainConfigs=None)
def	getEmptySeqName (stepName, step_number, alignGroup)
def	isFullScanRoI (inputL1Nav)
def	getCurrentAG (chainStep)
def	serial_zip (allSteps, chainName, chainDefList, legOrdering)
def	mergeSerial (chainDefList, chainDefListOrdering)
def	checkStepContent (parallel_steps)
def	makeCombinedStep (parallel_steps, stepNumber, chainDefList, allSteps=None, currentChainSteps=None, leg_numbering=None, alignment_group="")
def	zip_longest_parallel (AllSteps, multiplicity, fillvalue=None)
def	build_empty_sequences (emptyChainDicts, step_mult, caller, L1decisions, seqNames, chainName)

Variables
	log

Function Documentation

build_empty_sequences()

def ChainMerging.build_empty_sequences	(		emptyChainDicts,
			step_mult,
			caller,
			L1decisions,
			seqNames,
			chainName
	)

Definition at line 633 of file ChainMerging.py.

def build_empty_sequences(emptyChainDicts, step_mult, caller, L1decisions, seqNames, chainName):
    emptySequences = []
    for ileg in range(len(L1decisions)):                        
        if isFullScanRoI(L1decisions[ileg]):
            log.debug("[%s] adding FS empty sequence", caller)
            emptySequences += [functools.partial(EmptyMenuSequenceCfg, None, name=seqNames[ileg]+"FS")]
        else:
            log.debug("[%s] adding non-FS empty sequence", caller)
            emptySequences += [functools.partial(EmptyMenuSequenceCfg, None, name=seqNames[ileg])]
            
    log.verbose("[%s] emptyChainDicts %s", caller, emptyChainDicts)
    log.debug("[%s] %s has number of empty sequences %d and empty legs in stepDicts %d",
              caller, chainName, len(emptySequences), len(emptyChainDicts))
    if len(emptySequences) != len(emptyChainDicts):
        log.error("[%s] %s has a different number of empty sequences/legs %d than stepDicts %d",
                  caller, chainName, len(emptySequences), len(emptyChainDicts))
 
        raise Exception(f"[{caller}] Cannot create this chain step, exiting.")
 
    for sd in emptyChainDicts:
        if sd['signature'] == 'Jet' or sd['signature'] == 'Bjet':
            step_mult += [1]
        elif len(sd['chainParts']) != 1:
            log.error("[%s] %s has chainParts has length != 1 within a leg! chain dictionary for this step: \n %s",
                      caller, chainName, sd)
            raise Exception(f"[{caller}] Cannot create this chain step, exiting.")
        else:
            step_mult += [int(sd['chainParts'][0]['multiplicity'])]
 
    if len(emptySequences) != len(step_mult):
        log.error("[%s] %s has a different number of empty sequences/legs %d than multiplicities %d",
                  caller, chainName, len(emptySequences), len(step_mult))
        raise Exception(f"[{caller}] Cannot create this chain step, exiting.")
 
    log.verbose('[%s] step multiplicity %s',caller, step_mult)
 
 
    return emptySequences

check_leg_lengths()

def ChainMerging.check_leg_lengths

(

perSig_lengthOfChainConfigs

)

Definition at line 90 of file ChainMerging.py.

def check_leg_lengths(perSig_lengthOfChainConfigs):
    if not perSig_lengthOfChainConfigs: #default is None
        return "", -1
    leg_length_dict = {}
    for leg_lengths, leg_grps in perSig_lengthOfChainConfigs:
        for grp, length in zip(leg_grps,leg_lengths):
            if grp in leg_length_dict:
                leg_length_dict[grp] += [length]
            else:
                leg_length_dict[grp] = [length]
    found_mismatch = False
    max_length = -1
    mismatched_ag = ""
    log.debug("[check_leg_lengths] leg lengths: %s",leg_length_dict)
    for grp,lengths in leg_length_dict.items():
        if len(set(lengths)) > 1: #a mismatch! 
            log.debug("[check_leg_lengths] found mismatch for %s given %s", grp, lengths)
            if found_mismatch:
                log.error("[check_leg_lengths] Second mismatch in the same chain! I don't know how to deal with this, please resolve. Chain leg lengths: %s",perSig_lengthOfChainConfigs)
                log.error("[check_leg_lengths] Second mismatch in the same chain! lengths,grp: %s,%s",lengths, grp)
                raise Exception("[are_lengths_mismatched] Cannot merge chain, exiting.")
            found_mismatch = True
            max_length = max(lengths)
            mismatched_ag = grp
            
    return mismatched_ag, max_length
 
    

checkStepContent()

def ChainMerging.checkStepContent

(

parallel_steps

)

return True if any step contains a real Sequence

Definition at line 425 of file ChainMerging.py.

def checkStepContent(parallel_steps):
    """
    return True if any step contains a real Sequence
    """
    for step in parallel_steps:
        if step is None or step.isEmpty:
            continue
        for seq in step.sequenceGens:
            if not isEmptySequenceCfg(seq):
                return True    
    return False   
 

getCurrentAG()

def ChainMerging.getCurrentAG

(

chainStep

)

Definition at line 260 of file ChainMerging.py.

def getCurrentAG(chainStep):
    filled_seq_ag = []
    for iseq,seq in enumerate(chainStep.sequenceGens):
        # In the case of dummy configs, they are all empty
        if isEmptySequenceCfg(seq):
            continue
        else:
            # get the alignment group of the leg that is running a non-empty sequence
            # if we double-serial merge enough this will have to be recursive. Throw an error here for now
            # if the length is greater than one. I don't think this will ever come up
            if len(set(cp['alignmentGroup'] for cp in chainStep.stepDicts[iseq]['chainParts'])) > 1:
                log.error("[getCurrentAG] The leg has more than one chainPart (%s). Either the alignmentGroup property is bad or this is an unimplemented situation.",chainStep.stepDicts[iseq]['chainParts'])
                raise Exception("[getCurrentAG] Not sure what is happening here, but I don't know what to do.")
            filled_seq_ag += [chainStep.stepDicts[iseq]['chainParts'][0]['alignmentGroup']]
 
    if len(filled_seq_ag) == 0:
        log.error("[getCurrentAG] No non-empty sequences were found in %s", chainStep.sequenceGens)
        log.error("[getCurrentAG] The chainstep is %s", chainStep)
        raise Exception("[getCurrentAG] Cannot find the current alignment group for this chain")        
    elif len(set(filled_seq_ag)) > 1:
        log.error("[getCurrentAG] Found more than one alignment group for this step %s", filled_seq_ag)
        raise Exception("[getCurrentAG] Cannot find the current alignment group for this chain")
    else:
        return filled_seq_ag[0]
 

getEmptySeqName()

def ChainMerging.getEmptySeqName	(		stepName,
			step_number,
			alignGroup
	)

Definition at line 240 of file ChainMerging.py.

def getEmptySeqName(stepName, step_number, alignGroup):
    #remove redundant instances of StepN
    if re.search('^Step[0-9]_',stepName):
        stepName = stepName[6:]
    elif re.search('^Step[0-9]{2}_', stepName):
        stepName = stepName[7:]    
 
    seqName = 'Empty'+ alignGroup +'Seq'+str(step_number)+ '_'+ stepName
    return seqName
 
    
 

isFullScanRoI()

def ChainMerging.isFullScanRoI

(

inputL1Nav

)

Definition at line 252 of file ChainMerging.py.

def isFullScanRoI(inputL1Nav):
    fsRoIList = ['HLTNav_L1FSNOSEED','HLTNav_L1MET','HLTNav_L1J']
    if inputL1Nav in fsRoIList:
        return True
    else:
        return False
 
        

makeCombinedStep()

def ChainMerging.makeCombinedStep	(		parallel_steps,
			stepNumber,
			chainDefList,
			allSteps = None,
			currentChainSteps = None,
			leg_numbering = None,
			alignment_group = ""
	)

Definition at line 437 of file ChainMerging.py.

def makeCombinedStep(parallel_steps, stepNumber, chainDefList, allSteps = None, currentChainSteps = None, leg_numbering = None, alignment_group = ""):
 
    # default mutable values must be initialized to None
    if allSteps is None: allSteps = []
    if currentChainSteps is None: currentChainSteps = []
    if leg_numbering is None: leg_numbering =[]
 
    stepName = 'merged' #we will renumber all steps after chains are aligned #Step' + str(stepNumber)
    stepSeq = []
    stepMult = []
    log.debug("[makeCombinedStep] stepNumber %d, steps %s ", stepNumber, parallel_steps)
    stepDicts = []
    comboHypoTools = []
    comboHypo = None
    
    leg_counter = 0
    currentStepName = ''
    # if *all* the steps we're trying to merge are either empty sequences or empty steps
    # we need to create a single empty step instead. 
    hasNonEmptyStep = checkStepContent(parallel_steps)
    log.debug("hasNonEmptyStep %d", hasNonEmptyStep)
  
    if not hasNonEmptyStep:
        
        if len(parallel_steps)>=len(chainDefList) and all(step is None for step in parallel_steps[len(chainDefList):]):
            # We need to remove manually here the None steps exceeding the len of chainDefList. The right solution
            # would be to make sure that these cases don't happen upstream, but I am not confident enough with this
            # code to make such a large (and dangerous) change. But it would be nice to do that in future if possible..
            parallel_steps=parallel_steps[:len(chainDefList)]
            log.debug("[makeCombinedStep] removing empty steps exceeding chainDefList size. The new steps are now %s ", parallel_steps)
 
        for chain_index, step in enumerate(parallel_steps):
            # every step is empty but some might have empty sequences and some might not
            if step is None or step.isEmpty: 
                new_stepDicts = deepcopy(chainDefList[chain_index].steps[-1].stepDicts)
                currentStepName = 'Empty' + chainDefList[chain_index].alignmentGroups[0]+'Align'+str(stepNumber)+'_'+new_stepDicts[0]['chainParts'][0]['multiplicity']+new_stepDicts[0]['signature']
                log.debug('[makeCombinedStep] step has no sequences, making empty step %s', currentStepName)
 
                # we need a chain dict here, use the one corresponding to this leg of the chain
                for new_stepDict in new_stepDicts:
                    oldLegName = new_stepDict['chainName']
                    if re.search('^leg[0-9]{3}_',oldLegName):
                        oldLegName = oldLegName[7:]
                    new_stepDict['chainName'] = legName(oldLegName,leg_counter)
                    log.debug("[makeCombinedStep] stepDict naming old: %s, new: %s", oldLegName, new_stepDict['chainName'])
                    stepDicts.append(new_stepDict)
                    leg_counter += 1
 
            else:
                # Standard step with empty sequence(s)
                currentStepName = step.name
                #remove redundant instances of StepN_ and merged_ (happens when merging already merged chains)
                
                if currentStepName.startswith('merged_'):
                    currentStepName = currentStepName[7:]
 
                # update the chain dict list for the combined step with the chain dict from this step
                log.debug('[makeCombinedStep] adding step dictionaries %s',step.stepDicts)
 
                for new_stepDict in deepcopy(step.stepDicts):
                    oldLegName = new_stepDict['chainName']
                    if re.search('^leg[0-9]{3}_',oldLegName):
                        oldLegName = oldLegName[7:]
                    if len(leg_numbering) > 0:
                        leg_counter = leg_numbering[chain_index]
                    new_stepDict['chainName'] = legName(oldLegName,leg_counter)
                    log.debug("[makeCombinedStep] stepDict naming old: %s, new: %s", oldLegName, new_stepDict['chainName'])
                    stepDicts.append(new_stepDict)
                    leg_counter += 1
 
            stepName += '_' + currentStepName
 
        theChainStep = ChainStep(stepName, chainDicts = stepDicts, isEmpty = True) 
        log.debug("[makeCombinedStep] Merged empty step: \n %s", theChainStep)
        return theChainStep
 
    for chain_index, step in enumerate(parallel_steps): #this is a horizontal merge!
#TODO hasNonEmptyStep is already true here, 
        if step is None or (hasNonEmptyStep and step.isEmpty): 
            # this happens for merging chains with different numbers of steps, we need to "pad" out with empty sequences to propogate the decisions
            # all other chain parts' steps should contain an empty sequence
 
            if chain_index+1 > len(chainDefList): 
                chain_index-=chain_index
                                                
            if alignment_group == "":
                alignment_group = chainDefList[0].alignmentGroups[0]
 
            new_stepDict = deepcopy(chainDefList[chain_index].steps[-1].stepDicts[-1])
            seqName = getEmptySeqName(new_stepDict['signature'], stepNumber, alignment_group)
 
            if isFullScanRoI(chainDefList[chain_index].L1decisions[0]):
                stepSeq.append(functools.partial(EmptyMenuSequenceCfg, None, name=seqName+"FS"))
                currentStepName = 'Empty' + alignment_group +'Align'+str(stepNumber)+'_'+new_stepDict['chainParts'][0]['multiplicity']+new_stepDict['signature']+'FS'
            else:
                stepSeq.append(functools.partial(EmptyMenuSequenceCfg, None, name=seqName))
                currentStepName = 'Empty' + alignment_group +'Align'+str(stepNumber)+'_'+new_stepDict['chainParts'][0]['multiplicity']+new_stepDict['signature']
 
            log.debug("[makeCombinedStep] found empty step, step number %d chain_index: %s, step name: %s, made new empty sequence name: %s", stepNumber, chain_index, currentStepName, seqName)            
 
            #stepNumber is indexed from 1, need the previous step indexed from 0, so do - 2
            prev_step_mult = -1
            if stepNumber > 1 and len(currentChainSteps[stepNumber-2].multiplicity) >0:
                prev_step_mult = int(currentChainSteps[stepNumber-2].multiplicity[chain_index])
            else:
                #get the step multiplicity from the step dict. This should be 
                prev_step_mult = int(new_stepDict['chainParts'][0]['multiplicity'])
            stepMult.append(prev_step_mult)
            # we need a chain dict here, use the one corresponding to this leg of the chain
            oldLegName = new_stepDict['chainName']
            if re.search('^leg[0-9]{3}_',oldLegName):
                oldLegName = oldLegName[7:]
            new_stepDict['chainName'] = legName(oldLegName,leg_counter)
            stepDicts.append(new_stepDict)
            leg_counter += 1
        else:
            # Standard step, append it to the combined step
            log.debug("[makeCombinedStep]  step %s, multiplicity  = %s", step.name, str(step.multiplicity))
            if len(step.sequenceGens):                
                log.debug("[makeCombinedStep]    with sequences = %s", ' '.join(map(str, [seq.func.__name__ for seq in step.sequenceGens])))
 
            # this function only works if the input chains are single-object chains (one menu seuqnce)
            if len(step.sequenceGens) > 1:
                log.debug("[makeCombinedStep] combining in an already combined chain")
 
            if ( comboHypo is None or
                 (hasattr(step.comboHypoCfg, '__name__') and step.comboHypoCfg.__name__ != "ComboHypoCfg") ):
                comboHypo = step.comboHypoCfg
            currentStepName = step.name
            #remove redundant instances of StepN_ and merged_ (happens when merging already merged chains)
            if currentStepName.startswith('merged_'):
                currentStepName = currentStepName[7:]
            stepSeq.extend(step.sequenceGens)
            # set the multiplicity of all the legs 
            if len(step.multiplicity) == 0:
                stepMult.append(0)
            else:
                stepMult.extend(step.multiplicity)
            comboHypoTools.extend(step.comboToolConfs)
            # update the chain dict list for the combined step with the chain dict from this step
            log.debug('[makeCombinedStep] adding step dictionaries %s',step.stepDicts)
            log.debug('[makeCombinedStep] my leg_numbering is: %s, for chain_index %s',leg_numbering, chain_index) 
            for new_stepDict in deepcopy(step.stepDicts):
                oldLegName = new_stepDict['chainName']
                if re.search('^leg[0-9]{3}_',oldLegName):
                    oldLegName = oldLegName[7:]
                if len(leg_numbering) > 0:
                    leg_counter = leg_numbering[chain_index]
                new_stepDict['chainName'] = legName(oldLegName,leg_counter)
                log.debug("[makeCombinedStep] stepDict naming old: %s, new: %s", oldLegName, new_stepDict['chainName'])
                stepDicts.append(new_stepDict)
                leg_counter += 1
 
 
        # the step naming for combined chains needs to be revisted!!
        stepName += '_' + currentStepName
        log.debug('[makeCombinedStep] current step name %s',stepName)
        # for merged steps, we need to update the name to add the leg name
    
    comboHypoTools = list(set(comboHypoTools))
    theChainStep = ChainStep(stepName, SequenceGens = stepSeq, chainDicts = stepDicts, 
                             comboHypoCfg = comboHypo, comboToolConfs = comboHypoTools) 
    log.debug("[makeCombinedStep] Merged step: \n %s", theChainStep)
  
    
    return theChainStep
 
# modified version of zip_longest('ABCD', 'xy', fillvalue='-') --> Ax By C- D-, which takes into account the multiplicity of the steps

mergeChainDefs()

def ChainMerging.mergeChainDefs	(		listOfChainDefs,
			chainDict,
			perSig_lengthOfChainConfigs = None
	)

Definition at line 15 of file ChainMerging.py.

def mergeChainDefs(listOfChainDefs, chainDict, perSig_lengthOfChainConfigs = None):
    #chainDefList is a list of Chain() objects
    #one for each part in the chain
    
    strategy = chainDict["mergingStrategy"]
    offset = chainDict["mergingOffset"]
    log.debug("[mergeChainDefs] %s: Combine by using %s merging", chainDict['chainName'], strategy)
 
    leg_numbering = []
 
    if 'Bjet' in chainDict['signatures'] and 'Jet' in chainDict['signatures']:#and chainDict['Signature'] == 'Bjet':
        leg_numbering = [it for it,s in enumerate(chainDict['signatures'])]# if s != 'Jet']
 
    if strategy=="parallel":
        return mergeParallel(listOfChainDefs,  offset)
    elif strategy=="serial":
        return mergeSerial(listOfChainDefs)
 
    elif strategy=="auto":
        ordering = getAlignmentGroupOrdering()
        merging_dict = {}
        for ich,cConfig in enumerate(listOfChainDefs):
            chain_ag = cConfig.alignmentGroups[0]
            if chain_ag not in ordering:
                log.error("[mergeChainDefs] Alignment group %s can't be auto-merged because it's not in the grouping list!",chain_ag)
            if chain_ag in merging_dict:
                merging_dict[chain_ag] += [ich]
            else:
                merging_dict[chain_ag] = [ich]
                
        tmp_merged = []
        tmp_merged_ordering = []
        for ag in merging_dict:
            if len(merging_dict[ag]) > 1:
                log.debug("[mergeChainDefs] parallel merging")
                new_chain_defs, perSig_lengthOfChainConfigs = mergeParallel(list( listOfChainDefs[i] for i in merging_dict[ag] ), offset, leg_numbering, perSig_lengthOfChainConfigs)
                tmp_merged += [new_chain_defs]
                tmp_merged_ordering += [ordering.index(ag)]
            else:
                log.debug("[mergeChainDefs] don't need to parallel merge")
                tmp_merged += [listOfChainDefs[merging_dict[ag][0]]]
                tmp_merged_ordering += [ordering.index(ag)]
        
        #reset the ordering to index from zero (padding comes later!)
        merged_ordering = [-1]*len(tmp_merged_ordering)
        copy_ordering = tmp_merged_ordering.copy()
        tmp_val = 0
        while len(copy_ordering) > 0:
            min_index = tmp_merged_ordering.index(min(copy_ordering))
            copy_ordering.pop(copy_ordering.index(min(copy_ordering)))
            merged_ordering[min_index] = tmp_val
            tmp_val += 1
            
        # only serial merge if necessary
        if len(tmp_merged) == 1:            
            if perSig_lengthOfChainConfigs is None:
                log.debug("[mergeChainDefs] tmp merged has length 1, returning 0th element")
                return tmp_merged[0]
            else:
                log.debug("[mergeChainDefs] tmp merged has length 1, returning 0th element and perSig list")
                return tmp_merged[0], perSig_lengthOfChainConfigs
 
        if perSig_lengthOfChainConfigs is None:
            log.debug("[mergeChainDefs] serial merging first")
            return mergeSerial(tmp_merged, merged_ordering) #shouldn't need to modify it here!  
        else:
            log.debug("[mergeChainDefs] returning mergeSerial result and perSig_lengthOfChainConfigs %s",perSig_lengthOfChainConfigs)
            return mergeSerial(tmp_merged, merged_ordering), perSig_lengthOfChainConfigs #shouldn't need to modify it here!  
        
    else:
        log.error("[mergeChainDefs] Merging failed for %s. Merging strategy '%s' not known.", (listOfChainDefs, strategy))
        return -1
 
 
 

mergeParallel()

def ChainMerging.mergeParallel	(		chainDefList,
			offset,
			leg_numbering = None,
			perSig_lengthOfChainConfigs = None
	)

Definition at line 118 of file ChainMerging.py.

def mergeParallel(chainDefList, offset, leg_numbering = None, perSig_lengthOfChainConfigs = None):
    
    # default mutable values must be initialized to None
    if leg_numbering is None: leg_numbering = []
 
    if offset != -1:
        log.error("[mergeParallel] Offset for parallel merging not implemented.")
        raise Exception("[mergeParallel] Cannot merge this chain, exiting.")
 
    allSteps = []
    allStepsMult = []
    nSteps = []
    chainName = ''
    l1Decisions = []
    alignmentGroups = []
    vertical_alignment_groups = []
 
    for iConfig, cConfig in enumerate(chainDefList):
        if chainName == '':
            chainName = cConfig.name
        elif chainName != cConfig.name:
            log.error("[mergeParallel] Something is wrong with the combined chain name: cConfig.name = %s while chainName = %s", cConfig.name, chainName)
            raise Exception("[mergeParallel] Cannot merge this chain, exiting.")
 
        if len(set(cConfig.alignmentGroups)) == 1:
            alignmentGroups.append(cConfig.alignmentGroups[0])
        elif len(cConfig.alignmentGroups) > 1:
            log.debug("[mergeParallel] Parallel merging an already merged chain with different alignment groups? This is odd! %s",cConfig.alignmentGroups)
            log.debug("...let's look at the config: %s", perSig_lengthOfChainConfigs)
            # if the length the matching group in the pre-merged part is shorter than the full one,
            # we need to patch it up to the full length by adding empty steps so that when
            # we merge, the longer leg doesn't merge onto the second alignment group 
            align_grp_to_lengthen, max_length = check_leg_lengths(perSig_lengthOfChainConfigs)
            if max_length > -1:
                current_leg_ag_length = -1
                index_modified_leg = -1
                leg_lengths, leg_ags = perSig_lengthOfChainConfigs[iConfig]  
                for ileg, (length, ag) in enumerate(zip(leg_lengths, leg_ags)):
                    if ag == align_grp_to_lengthen:
                        current_leg_ag_length = length
                        index_modified_leg = ileg
                        log.debug("[mergeParallel] ileg %s, length %s, ag %s: ",ileg, length, ag)
                        break 
                        # it's already merged so even if there is more than one in this chain
                        # they had better be the same length already
                    
                n_new_steps = max_length - current_leg_ag_length
                
                previous_step_dicts = cConfig.steps[current_leg_ag_length-1].stepDicts
                for i in range(1,n_new_steps+1):
                    step_mult = []
                    sigNames = []
 
                    for ileg,stepDict in enumerate(previous_step_dicts):
                        is_fs_string = 'FS' if isFullScanRoI(cConfig.L1decisions[ileg]) else ''
                        sigNames += [stepDict['chainParts'][0]['signature'] + is_fs_string]
 
                    seqMultName = '_'.join([sigName for sigName in sigNames])
                    seqStepName = 'Empty' + align_grp_to_lengthen + 'Align' + str(current_leg_ag_length+i) + '_' + seqMultName
                    seqNames = [getEmptySeqName(previous_step_dicts[iSeq]['signature'], current_leg_ag_length+i, align_grp_to_lengthen) for iSeq in range(len(sigNames))]
 
                    emptySequences = build_empty_sequences(previous_step_dicts, step_mult, 'mergeParallel', cConfig.L1decisions, seqNames, chainName)
                    # insert a step with an empty sequence
                    cConfig.steps.insert(current_leg_ag_length + i - 1, #-1 to go to indexed from zero                    
                                        ChainStep( seqStepName, SequenceGens = emptySequences,
                                                  chainDicts = previous_step_dicts)
                                        )
                                 
                                 
                # edited the lengths, so need to update the leg length dict the code we did so!
                perSig_lengthOfChainConfigs[iConfig][0][index_modified_leg] = max_length
        else: 
            log.debug("[mergeParallel] Alignment groups are empty for this combined chain")
 
        allSteps.append(cConfig.steps)
        allStepsMult.append(len(cConfig.steps[0].multiplicity))
        nSteps.append(len(cConfig.steps))
        l1Decisions.extend(cConfig.L1decisions)
            
    # Use zip_longest_parallel so that we get None in case one chain has more steps than the other
    orderedSteps = list(zip_longest_parallel(allSteps, allStepsMult))
  
    if perSig_lengthOfChainConfigs is not None and len(perSig_lengthOfChainConfigs) > 0:
      in_chain_ag_lengths = {}
      ag_ordering = getAlignmentGroupOrdering()
      for ag in ag_ordering:
        for ag_lengths,sig_ags in perSig_lengthOfChainConfigs:
            for ag_length, sig_ag in zip(ag_lengths, sig_ags):
                if (sig_ag in in_chain_ag_lengths and in_chain_ag_lengths[sig_ag] < ag_length) or sig_ag not in in_chain_ag_lengths:
                    in_chain_ag_lengths[sig_ag] = ag_length
      for ag, ag_length in in_chain_ag_lengths.items():
          vertical_alignment_groups += [ag]*ag_length
    else:
        #it's all one alignment group in this case
        vertical_alignment_groups = [alignmentGroups[0]]*len(orderedSteps)            
 
 
    log.debug("[mergeParallel] alignment groups horizontal: %s", alignmentGroups)
    log.debug("[mergeParallel] alignment groups vertical: %s", vertical_alignment_groups)
    
    combChainSteps =[]
    log.debug("[mergeParallel] len(orderedSteps): %d", len(orderedSteps))
    for chain_index in range(len(chainDefList)):
        log.debug('[mergeParallel] Chain object to merge (i.e. chainDef) %s', chainDefList[chain_index])
 
    for step_index, (steps, step_ag) in enumerate(zip(orderedSteps,vertical_alignment_groups)):
        mySteps = list(steps)
        log.debug("[mergeParallel] Merging step counter %d", step_index+1)
 
        combStep = makeCombinedStep(mySteps, step_index+1, chainDefList, orderedSteps, combChainSteps, leg_numbering, step_ag)
        combChainSteps.append(combStep)
                                  
    combinedChainDef = Chain(chainName, ChainSteps=combChainSteps, L1decisions=l1Decisions, 
                                nSteps = nSteps, alignmentGroups = alignmentGroups)
 
    log.debug("[mergeParallel] Parallel merged chain %s with these steps:", chainName)
    for step in combinedChainDef.steps:
        log.debug('\n   %s', step)
 
    return combinedChainDef, perSig_lengthOfChainConfigs
 
 

mergeSerial()

def ChainMerging.mergeSerial	(		chainDefList,
			chainDefListOrdering
	)

Definition at line 377 of file ChainMerging.py.

def mergeSerial(chainDefList, chainDefListOrdering):
    allSteps = []
    legOrdering = []
    nSteps = []
    chainName = ''
    l1Decisions = []
    alignmentGroups = []
    log.debug('[mergeSerial] Merge chainDefList:')
    log.debug(chainDefList)
    log.debug('[mergeSerial]  wth ordering %s:',chainDefListOrdering)
        
    for ic,cOrder in enumerate(chainDefListOrdering):
 
        #put these in order of alignment
        cConfig = chainDefList[chainDefListOrdering.index(ic)] 
        leg_order  = chainDefListOrdering.index(ic) #but keep track of where it came from
        
        if chainName == '':
            chainName = cConfig.name
        elif chainName != cConfig.name:
            log.error("[mergeSerial] Something is wrong with the combined chain name: cConfig.name = %s while chainName = %s", cConfig.name, chainName)
            raise Exception("[mergeSerial] Cannot merge this chain, exiting.")
 
        #allSteps is ordered such that the first entry in the list is what we want to *run* first 
        allSteps.append(cConfig.steps)
        legOrdering.append(leg_order)
        nSteps.extend(cConfig.nSteps)
        l1Decisions.extend(chainDefList[ic].L1decisions) # do not invert L1Decisions because they follow the order of the sequences inside teh steps
        alignmentGroups.extend(cConfig.alignmentGroups)
 
    serialSteps = serial_zip(allSteps, chainName, chainDefList, legOrdering)
    combChainSteps =[]
    for chain_index in range(len(chainDefList)):
        log.debug('[mergeSerial] Chain object to merge (i.e. chainDef) %s', chainDefList[chain_index])
    for step_index, steps in enumerate(serialSteps):
        mySteps = list(steps)
        combStep = makeCombinedStep(mySteps, step_index+1, chainDefList)
        combChainSteps.append(combStep)
                        
    combinedChainDef = Chain(chainName, ChainSteps=combChainSteps, L1decisions=l1Decisions, 
                               nSteps = nSteps, alignmentGroups = alignmentGroups)
 
    log.debug("[mergeSerial] Serial merged chain %s with number of steps/leg %s with these steps:", chainName, combinedChainDef.nSteps)
    for step in combinedChainDef.steps:
        log.debug('   %s', step)
 
    return combinedChainDef
 

serial_zip()

def ChainMerging.serial_zip	(		allSteps,
			chainName,
			chainDefList,
			legOrdering
	)

Definition at line 285 of file ChainMerging.py.

def serial_zip(allSteps, chainName, chainDefList, legOrdering):
 
    #note: allSteps and chainDefList do not have the legs in the same order
    #the legOrdering is a mapping between the two:
    # chainDefList[legOrdering[0]] <=> allSteps[0]
 
    legs_per_part = [len(chainDefList[stepPlacement].steps[0].multiplicity) for stepPlacement in legOrdering]
    n_parts = len(allSteps)
    log.debug('[serial_zip] configuring chain with %d parts with multiplicities %s', n_parts, legs_per_part)
    log.debug('[serial_zip]     and leg ordering %s', legOrdering)
    newsteps = []
 
    #per-part (horizontal) iteration by alignment ordering
    #i.e. if we run muon then electron, allSteps[0] = muon steps, allSteps[1] = electron steps
    #leg ordering tells us where it was ordered in the chain name, so e_mu in this case would
    #have legOrdering = [1,0]
    for chain_index, (chainSteps, stepPlacement) in enumerate(zip(allSteps, legOrdering)): 
 
        for step_index, step in enumerate(chainSteps):  #serial step iteration
            if step_index == 0:
                prev_ag_step_index = step_index
                previousAG = getCurrentAG(step)
            log.debug('[serial_zip] chain_index: %s step_index: %s, alignment group: %s', chain_index, step_index, previousAG)
            # create list of correct length (chainSteps in parallel)
            stepList = [None]*n_parts
 
            # put the step from the current sub-chain into the right place
            stepList[stepPlacement] = step
            log.debug('[serial_zip] Put step: %s', step.name)
 
            # all other chain parts' steps should contain an empty sequence
            for chain_index2, (nLegs, stepPlacement2) in enumerate(zip(legs_per_part, legOrdering)): #more per-leg iteration
                emptyStep = stepList[stepPlacement2]
                if emptyStep is None:
                    if chain_index2 == chain_index:
                        log.error("chain_index2 = chain_index, but the stepList still has none!")
                        raise Exception("[serial_zip] duplicating existing leg, why has this happened??")
 
                    #this WILL NOT work for jets!
                    step_mult = []
                    emptyChainDicts = []
                    if chain_index2 < chain_index:
                        emptyChainDicts = allSteps[chain_index2][-1].stepDicts
                    else:
                        emptyChainDicts = allSteps[chain_index2][0].stepDicts
 
                    log.debug("[serial_zip] nLegs: %s, len(emptyChainDicts): %s, len(L1decisions): %s", nLegs, len(emptyChainDicts), len(chainDefList[stepPlacement2].L1decisions))
                    sigNames = []
                    for ileg,(emptyChainDict,_) in enumerate(zip(emptyChainDicts,chainDefList[stepPlacement2].L1decisions)):
                        if isFullScanRoI(chainDefList[stepPlacement2].L1decisions[ileg]):
                            sigNames +=[emptyChainDict['chainParts'][0]['signature']+'FS']
                        else:
                            sigNames +=[emptyChainDict['chainParts'][0]['signature']]
 
                    seqMultName = '_'.join([sigName for sigName in sigNames])
                    currentAG = ''
                    
                    #now we need to know what alignment group this step is in to properly name the empty sequence
                    if len(set(chainDefList[stepPlacement].alignmentGroups)) == 1:
                        currentAG = chainDefList[stepPlacement].alignmentGroups[0]
                        ag_step_index = step_index+1
                    else:
                        # this happens if one of the bits to serial merge is already serial merged.
                        currentAG = getCurrentAG(step)
                        if currentAG == previousAG:
                            ag_step_index = prev_ag_step_index + 1
                            prev_ag_step_index = ag_step_index
                        else:
                            ag_step_index = 1
                            previousAG = currentAG
                            prev_ag_step_index = 1
                     
                    seqStepName = 'Empty' + currentAG +'Align'+str(ag_step_index)+'_'+seqMultName
 
                    seqNames = [getEmptySeqName(emptyChainDicts[iSeq]['signature'], ag_step_index, currentAG) for iSeq in range(nLegs)]
 
                    log.verbose("[serial_zip] step name for this leg: %s", seqStepName)
                    log.verbose("[serial_zip] created empty sequence(s): %s", seqNames)
                    log.verbose("[serial_zip] L1decisions %s ", chainDefList[stepPlacement2].L1decisions)
                        
                    emptySequences = build_empty_sequences(emptyChainDicts, step_mult, 'serial_zip', chainDefList[stepPlacement2].L1decisions, seqNames, chainName)
 
                    stepList[stepPlacement2] = ChainStep( seqStepName, SequenceGens = emptySequences,
                                                         chainDicts = emptyChainDicts)
 
            newsteps.append(stepList)
    log.debug('After serial_zip')
    for s in newsteps:
        log.debug( ', '.join(map(str, [step.name for step in s]) ) )
    return newsteps
 
 

zip_longest_parallel()

def ChainMerging.zip_longest_parallel	(		AllSteps,
			multiplicity,
			fillvalue = None
	)

Definition at line 605 of file ChainMerging.py.

def zip_longest_parallel(AllSteps, multiplicity, fillvalue=None):
    from itertools import repeat
    
    iterators = [iter(it) for it in AllSteps]
    inactives =set()
    if len(iterators)==0:
        return
    while True:
        values = []
        for i, it in enumerate(iterators): #Here we loop over the different chain parts
            try:
                value = next(it)
            except StopIteration:
                if i not in inactives:
                    #We want to add the inactive iterator to the list of inactives iterators
                    inactives.add(i)
                if len(inactives)>=len(iterators):
                    #We want to exit the while True if we reached the end of all iterators.
                    return
                iterators[i] = repeat(fillvalue, int(multiplicity[i]))
                value = fillvalue
            values.append(value)
            if int(multiplicity[i]) > 1 and value == fillvalue:
                values.extend([fillvalue]*int(multiplicity[i]-1))
 
        yield tuple(values)
 
 

Variable Documentation

log

ChainMerging.log

Definition at line 13 of file ChainMerging.py.