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File indexing completed on 2022-06-29 02:25:38

 from copy import copy, deepcopy
 from collections import OrderedDict
 from .MatrixUtil import merge, Kby
 import re
 
 # DON'T CHANGE THE ORDER, only append new keys. Otherwise the numbering for the runTheMatrix tests will change.
 
 upgradeKeys = {}
 
 upgradeKeys[2017] = [
     '2017',
     '2017PU',
     '2017Design',
     '2017DesignPU',
     '2018',
     '2018PU',
     '2018Design',
     '2018DesignPU',
     '2021',
     '2021PU',
     '2021Design',
     '2021DesignPU',
     '2023',
     '2023PU',
     '2024',
     '2024PU',
 ]
 
 upgradeKeys[2026] = [
     '2026D49',
     '2026D49PU',
     '2026D60',
     '2026D60PU',
     '2026D68',
     '2026D68PU',
     '2026D70',
     '2026D70PU',
     '2026D76',
     '2026D76PU',
     '2026D77',
     '2026D77PU',
     '2026D80',
     '2026D80PU',
     '2026D81',
     '2026D81PU',
     '2026D82',
     '2026D82PU',
     '2026D83',
     '2026D83PU',
     '2026D84',
     '2026D84PU',
     '2026D85',
     '2026D85PU',
     '2026D86',
     '2026D86PU',
     '2026D88',
     '2026D88PU',
     '2026D91',
     '2026D91PU',
     '2026D92',
     '2026D92PU',
 ]
 
 # pre-generation of WF numbers
 numWFStart={
     2017: 10000,
     2026: 20000,
 }
 numWFSkip=200
 # temporary measure to keep other WF numbers the same
 numWFConflict = [[20000,23200],[23600,28200],[28600,31400],[31800,32200],[32600,34600],[35400,36200],[39000,39400],[39800,40600],[50000,51000]]
 numWFAll={
     2017: [],
     2026: []
 }
 
 for year in upgradeKeys:
     for i in range(0,len(upgradeKeys[year])):
         numWFtmp = numWFStart[year] if i==0 else (numWFAll[year][i-1] + numWFSkip)
         for conflict in numWFConflict:
             if numWFtmp>=conflict[0] and numWFtmp<conflict[1]:
                 numWFtmp = conflict[1]
                 break
         numWFAll[year].append(numWFtmp)
 
 # workflows for baseline and for variations
 # setup() automatically loops over all steps and applies any customizations specified in setup_() -> called in relval_steps.py
 # setupPU() and setupPU_() operate similarly -> called in relval_steps.py *after* merging PUDataSets w/ regular steps
 # workflow() adds a concrete workflow to the list based on condition() -> called in relval_upgrade.py
 # every special workflow gets its own derived class, which must then be added to the global dict upgradeWFs
 preventReuseKeyword = 'NOREUSE'
 class UpgradeWorkflow(object):
     def __init__(self,steps,PU,suffix,offset):
         self.steps = steps
         self.PU = PU
         self.allowReuse = True
 
         # ensure all PU steps are in normal step list
         for step in self.PU:
             if not step in self.steps:
                 self.steps.append(step)
 
         self.suffix = suffix
         if len(self.suffix)>0 and self.suffix[0]!='_': self.suffix = '_'+self.suffix
         self.offset = offset
         if self.offset < 0.0 or self.offset > 1.0:
             raise ValueError("Special workflow offset must be between 0.0 and 1.0")
     def getStepName(self, step, extra=""):
         stepName = step + self.suffix + extra
         return stepName
     def getStepNamePU(self, step, extra=""):
         stepNamePU = step + 'PU' + self.suffix + extra
         return stepNamePU
     def init(self, stepDict):
         for step in self.steps:
             stepDict[self.getStepName(step)] = {}
             if not self.allowReuse: stepDict[self.getStepName(step,preventReuseKeyword)] = {}
         for step in self.PU:
             stepDict[self.getStepNamePU(step)] = {}
             if not self.allowReuse: stepDict[self.getStepNamePU(step,preventReuseKeyword)] = {}
     def setup(self, stepDict, k, properties):
         for step in self.steps:
             self.setup_(step, self.getStepName(step), stepDict, k, properties)
             if not self.allowReuse: self.preventReuse(self.getStepName(step,preventReuseKeyword), stepDict, k)
     def setupPU(self, stepDict, k, properties):
         for step in self.PU:
             self.setupPU_(step, self.getStepNamePU(step), stepDict, k, properties)
             if not self.allowReuse: self.preventReuse(self.getStepNamePU(step,preventReuseKeyword), stepDict, k)
     def setup_(self, step, stepName, stepDict, k, properties):
         pass
     def setupPU_(self, step, stepName, stepDict, k, properties):
         pass
     def workflow(self, workflows, num, fragment, stepList, key, hasHarvest):
         if self.condition(fragment, stepList, key, hasHarvest):
             self.workflow_(workflows, num, fragment, stepList, key)
     def workflow_(self, workflows, num, fragment, stepList, key):
         fragmentTmp = [fragment, key]
         if len(self.suffix)>0: fragmentTmp.append(self.suffix)
         workflows[num+self.offset] = [ fragmentTmp, stepList ]
     def condition(self, fragment, stepList, key, hasHarvest):
         return False
     def preventReuse(self, stepName, stepDict, k):
         if "Sim" in stepName:
             stepDict[stepName][k] = None
 upgradeWFs = OrderedDict()
 
 class UpgradeWorkflow_baseline(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         cust=properties.get('Custom', None)
         era=properties.get('Era', None)
         modifier=properties.get('ProcessModifier',None)
         if cust is not None: stepDict[stepName][k]['--customise']=cust
         if era is not None:
             stepDict[stepName][k]['--era']=era
         if modifier is not None: stepDict[stepName][k]['--procModifier']=modifier
     def condition(self, fragment, stepList, key, hasHarvest):
         return True
 upgradeWFs['baseline'] = UpgradeWorkflow_baseline(
     steps =  [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'GenSimHLBeamSpotHGCALCloseBy',
         'Digi',
         'DigiTrigger',
         'HLTRun3',
         'RecoLocal',
         'Reco',
         'RecoFakeHLT',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTFakeHLT',
         'HARVESTNano',
         'FastSim',
         'HARVESTFast',
         'HARVESTGlobal',
         'ALCA',
         'Nano',
         'MiniAOD',
         'HLT75e33',
     ],
     PU =  [
         'DigiTrigger',
         'RecoLocal',
         'RecoGlobal',
         'Digi',
         'Reco',
         'RecoFakeHLT',
         'RecoNano',
         'HARVEST',
         'HARVESTFakeHLT',
         'HARVESTNano',
         'HARVESTGlobal',
         'MiniAOD',
         'Nano',
         'HLT75e33',
     ],
     suffix = '',
     offset = 0.0,
 )
 
 class UpgradeWorkflow_DigiNoHLT(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if stepDict[step][k] != None:
             if 'ALCA' in step:
                 stepDict[stepName][k] = None
             if 'RecoNano' in step:
                 stepDict[stepName][k] = merge([{'--filein': 'file:step3.root', '--secondfilein': 'file:step2.root'}, stepDict[step][k]])
             if 'Digi' in step:
                 stepDict[stepName][k] = merge([{'-s': re.sub(',HLT.*', '', stepDict[step][k]['-s'])}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         if ('TTbar_14TeV' in fragment and '2021' == key):
             stepList.insert(stepList.index('Digi_DigiNoHLT_2021')+1, 'HLTRun3_2021')
         return ('TTbar_14TeV' in fragment and '2021' == key)
 upgradeWFs['DigiNoHLT'] = UpgradeWorkflow_DigiNoHLT(
     steps = [
         'Digi',
         'RecoNano',
         'ALCA'
     ],
     PU = [],
     suffix = '_DigiNoHLT',
     offset = 0.601,
 )
 
 # some commonalities among tracking WFs
 class UpgradeWorkflowTracking(UpgradeWorkflow):
     # skip the PU argument since PU workflows never used here
     def __init__(self, steps, suffix, offset):
         # always include some steps that will be skipped
         steps = steps + ["ALCA","Nano"]
         super().__init__(steps, [], suffix, offset)
     def condition(self, fragment, stepList, key, hasHarvest):
         result = (fragment=="TTbar_13" or fragment=="TTbar_14TeV") and not 'PU' in key and hasHarvest and self.condition_(fragment, stepList, key, hasHarvest)
         return result
     def condition_(self, fragment, stepList, key, hasHarvest):
         return True
     def setup_(self, step, stepName, stepDict, k, properties):
         # skip ALCA and Nano steps (but not RecoNano or HARVESTNano for Run3)
         if 'ALCA' in step or 'Nano'==step:
             stepDict[stepName][k] = None
         self.setup__(step, stepName, stepDict, k, properties)
     # subordinate function for inherited classes
     def setup__(self, step, stepName, stepDict, k, properties):
         pass
 
 class UpgradeWorkflow_trackingOnly(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step: stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
         elif 'HARVEST' in step: stepDict[stepName][k] = merge([{'-s': 'HARVESTING:@trackingOnlyValidation+@trackingOnlyDQM'}, stepDict[step][k]])
 upgradeWFs['trackingOnly'] = UpgradeWorkflow_trackingOnly(
     steps = [
         'Reco',
         'HARVEST',
         'RecoGlobal',
         'HARVESTGlobal',
         'RecoNano',
         'HARVESTNano',
         'RecoFakeHLT',
         'HARVESTFakeHLT',
     ],
     suffix = '_trackingOnly',
     offset = 0.1,
 )
 upgradeWFs['trackingOnly'].step3 = {
     '-s': 'RAW2DIGI,RECO:reconstruction_trackingOnly,VALIDATION:@trackingOnlyValidation,DQM:@trackingOnlyDQM',
     '--datatier':'GEN-SIM-RECO,DQMIO',
     '--eventcontent':'RECOSIM,DQM',
 }
 # used outside of upgrade WFs
 step3_trackingOnly = upgradeWFs['trackingOnly'].step3
 
 class UpgradeWorkflow_trackingRun2(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step and stepDict[step][k]['--era']=='Run2_2017':
             stepDict[stepName][k] = merge([{'--era': 'Run2_2017_trackingRun2'}, stepDict[step][k]])
     def condition_(self, fragment, stepList, key, hasHarvest):
         return '2017' in key
 upgradeWFs['trackingRun2'] = UpgradeWorkflow_trackingRun2(
     steps = [
         'Reco',
         'RecoFakeHLT',
     ],
     suffix = '_trackingRun2',
     offset = 0.2,
 )
 
 class UpgradeWorkflow_trackingOnlyRun2(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step and stepDict[step][k]['--era']=='Run2_2017':
             stepDict[stepName][k] = merge([{'--era': 'Run2_2017_trackingRun2'}, self.step3, stepDict[step][k]])
         elif 'HARVEST' in step: stepDict[stepName][k] = merge([{'-s': 'HARVESTING:@trackingOnlyValidation+@trackingOnlyDQM'}, stepDict[step][k]])
     def condition_(self, fragment, stepList, key, hasHarvest):
         return '2017' in key
 upgradeWFs['trackingOnlyRun2'] = UpgradeWorkflow_trackingOnlyRun2(
     steps = [
         'Reco',
         'HARVEST',
         'RecoFakeHLT',
         'HARVESTFakeHLT',
     ],
     suffix = '_trackingOnlyRun2',
     offset = 0.3,
 )
 upgradeWFs['trackingOnlyRun2'].step3 = upgradeWFs['trackingOnly'].step3
 
 class UpgradeWorkflow_trackingLowPU(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step and stepDict[step][k]['--era']=='Run2_2017':
             stepDict[stepName][k] = merge([{'--era': 'Run2_2017_trackingLowPU'}, stepDict[step][k]])
     def condition_(self, fragment, stepList, key, hasHarvest):
         return '2017' in key
 upgradeWFs['trackingLowPU'] = UpgradeWorkflow_trackingLowPU(
     steps = [
         'Reco',
         'RecoFakeHLT',
     ],
     suffix = '_trackingLowPU',
     offset = 0.4,
 )
 
 class UpgradeWorkflow_pixelTrackingOnly(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step: stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
         elif 'HARVEST' in step: stepDict[stepName][k] = merge([{'-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM'}, stepDict[step][k]])
     def condition_(self, fragment, stepList, key, hasHarvest):
         return '2017' in key or '2018' in key or '2021' in key or '2026' in key
 upgradeWFs['pixelTrackingOnly'] = UpgradeWorkflow_pixelTrackingOnly(
     steps = [
         'Reco',
         'HARVEST',
         'RecoGlobal',
         'HARVESTGlobal',
         'RecoNano',
         'HARVESTNano',
         'RecoFakeHLT',
         'HARVESTFakeHLT',
     ],
     suffix = '_pixelTrackingOnly',
     offset = 0.5,
 )
 upgradeWFs['pixelTrackingOnly'].step3 = {
     '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
     '--datatier': 'GEN-SIM-RECO,DQMIO',
     '--eventcontent': 'RECOSIM,DQM',
 }
 
 class UpgradeWorkflow_trackingMkFit(UpgradeWorkflowTracking):
     def setup__(self, step, stepName, stepDict, k, properties):
         if 'Digi' in step: stepDict[stepName][k] = merge([self.step2, stepDict[step][k]])
         if 'Reco' in step: stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
     def condition_(self, fragment, stepList, key, hasHarvest):
         return '2017' in key or '2021' in key
 upgradeWFs['trackingMkFit'] = UpgradeWorkflow_trackingMkFit(
     steps = [
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'RecoFakeHLT',
     ],
     suffix = '_trackingMkFit',
     offset = 0.7,
 )
 upgradeWFs['trackingMkFit'].step2 = {
     '--customise': 'RecoTracker/MkFit/customizeHLTIter0ToMkFit.customizeHLTIter0ToMkFit'
 }
 upgradeWFs['trackingMkFit'].step3 = {
     '--procModifiers': 'trackingMkFitDevel'
 }
 
 #DeepCore seeding for JetCore iteration workflow
 class UpgradeWorkflow_seedingDeepCore(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         # skip ALCA and Nano steps (but not RecoNano or HARVESTNano for Run3)
         if 'ALCA' in step or 'Nano'==step:
             stepDict[stepName][k] = None
         elif 'Reco' in step or 'HARVEST' in step: stepDict[stepName][k] = merge([{'--procModifiers': 'seedingDeepCore'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         result = (fragment=="QCD_Pt_1800_2400_14" or fragment=="TTbar_14TeV" ) and ('2021' in key or '2024' in key) and hasHarvest
         return result
 upgradeWFs['seedingDeepCore'] = UpgradeWorkflow_seedingDeepCore(
     steps = [
         'Reco',
         'HARVEST',
         'RecoGlobal',
         'HARVESTGlobal',
         'RecoNano',
         'HARVESTNano',
         'Nano',
         'ALCA',
     ],
     PU = [
         'Reco',
         'RecoGlobal',
         'HARVESTGlobal',
         'RecoNano',
         'HARVESTNano',
     ],
     suffix = '_seedingDeepCore',
     offset = 0.17,
 )
 
 # Vector Hits workflows
 class UpgradeWorkflow_vectorHits(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         stepDict[stepName][k] = merge([{'--procModifiers': 'vectorHits'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2026' in key
 upgradeWFs['vectorHits'] = UpgradeWorkflow_vectorHits(
     steps = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     PU = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     suffix = '_vectorHits',
     offset = 0.9,
 )
 
 # Special TICL Pattern recognition Workflows
 class UpgradeWorkflow_ticl_clue3D(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'RecoGlobal' in step:
             stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
         if 'HARVESTGlobal' in step:
             stepDict[stepName][k] = merge([self.step4, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=="TTbar_14TeV" or 'CloseByPGun_CE' in fragment) and '2026' in key
 upgradeWFs['ticl_clue3D'] = UpgradeWorkflow_ticl_clue3D(
     steps = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     PU = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     suffix = '_ticl_clue3D',
     offset = 0.201,
 )
 upgradeWFs['ticl_clue3D'].step3 = {'--procModifiers': 'clue3D'}
 upgradeWFs['ticl_clue3D'].step4 = {'--procModifiers': 'clue3D'}
 
 class UpgradeWorkflow_ticl_FastJet(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'RecoGlobal' in step:
             stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
         if 'HARVESTGlobal' in step:
             stepDict[stepName][k] = merge([self.step4, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=="TTbar_14TeV" or 'CloseByPGun_CE' in fragment) and '2026' in key
 upgradeWFs['ticl_FastJet'] = UpgradeWorkflow_ticl_FastJet(
     steps = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     PU = [
         'RecoGlobal',
         'HARVESTGlobal'
     ],
     suffix = '_ticl_FastJet',
     offset = 0.202,
 )
 upgradeWFs['ticl_FastJet'].step3 = {'--procModifiers': 'fastJetTICL'}
 upgradeWFs['ticl_FastJet'].step4 = {'--procModifiers': 'fastJetTICL'}
 
 # Track DNN workflows
 class UpgradeWorkflow_trackdnn(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         stepDict[stepName][k] = merge([{'--procModifiers': 'trackdnn'}, stepDict[step][k]])
 
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2021' in key
 upgradeWFs['trackdnn'] = UpgradeWorkflow_trackdnn(
     steps = [
         'Reco',
         'RecoNano',
     ],
     PU = [
         'Reco',
         'RecoNano',
     ],
     suffix = '_trackdnn',
     offset = 0.91,
 )
 
 
 # MLPF workflows
 class UpgradeWorkflow_mlpf(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step:
             stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=="TTbar_14TeV" or fragment=="QCD_FlatPt_15_3000HS_14") and '2021PU' in key
 
 upgradeWFs['mlpf'] = UpgradeWorkflow_mlpf(
     steps = [
         'Reco',
         'RecoNano',
     ],
     PU = [
         'Reco',
         'RecoNano',
     ],
     suffix = '_mlpf',
     offset = 0.13,
 )
 upgradeWFs['mlpf'].step3 = {
     '--datatier': 'GEN-SIM-RECO,RECOSIM,MINIAODSIM,NANOAODSIM,DQMIO',
     '--eventcontent': 'FEVTDEBUGHLT,RECOSIM,MINIAODSIM,NANOEDMAODSIM,DQM',
     '--procModifiers': 'mlpf'
 }
 
 
 # ECAL DeepSC clustering studies workflow
 class UpgradeWorkflow_ecalclustering(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step:
             stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=="ZEE_14" or fragment=="TTbar_14TeV" or fragment=="WprimeTolNu_M3000_13TeV_pythia8"
             or fragment=="DisplacedSUSY_stopToBottom_M_300_1000mm_13" or fragment=="RunEGamma2018D" )
 
 upgradeWFs['ecalDeepSC'] = UpgradeWorkflow_ecalclustering(
     steps = [
         'Reco',
         'RecoNano',
     ],
     PU = [
         'Reco',
         'RecoNano',
     ],
     suffix = '_ecalDeepSC',
     offset = 0.19,
 )
 upgradeWFs['ecalDeepSC'].step3 = {
     '--datatier': 'RECOSIM,MINIAODSIM,NANOAODSIM,DQMIO',
     '--eventcontent': 'RECOSIM,MINIAODSIM,NANOEDMAODSIM,DQM',
     '--procModifiers': 'ecal_deepsc'
 }
 
 
 # photonDRN workflows
 class UpgradeWorkflow_photonDRN(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step:
             stepDict[stepName][k] = merge([self.step3, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2018' in key and "SingleGamma" in fragment
 
 upgradeWFs['photonDRN'] = UpgradeWorkflow_photonDRN(
     steps = [
         'Reco',
         'RecoNano',
         'RecoFakeHLT'
     ],
     PU = [
         'Reco',
         'RecoNano',
         'RecoFakeHLT'
     ],
     suffix = '_photonDRN',
     offset = 0.31,
 )
 upgradeWFs['photonDRN'].step3 = {
     '--procModifiers': 'enableSonicTriton,photonDRN'
 }
 
 
 # Patatrack workflows:
 #   - 2018 conditions, TTbar
 #   - 2018 conditions, Z->mumu,
 #   - 2021 conditions, TTbar
 #   - 2021 conditions, Z->mumu,
 class PatatrackWorkflow(UpgradeWorkflow):
     def __init__(self, digi = {}, reco = {}, harvest = {}, **kwargs):
         # adapt the parameters for the UpgradeWorkflow init method
         super(PatatrackWorkflow, self).__init__(
             steps = [
                 'Digi',
                 'DigiTrigger',
                 'Reco',
                 'HARVEST',
                 'RecoFakeHLT',
                 'HARVESTFakeHLT',
                 'RecoGlobal',
                 'HARVESTGlobal',
                 'RecoNano',
                 'HARVESTNano',
                 'Nano',
                 'ALCA',
             ],
             PU = [],
             **kwargs)
         self.__digi = digi
         self.__reco = reco
         self.__reco.update({
             '--datatier':     'GEN-SIM-RECO,DQMIO',
             '--eventcontent': 'RECOSIM,DQM'
         })
         self.__harvest = harvest
 
     def condition(self, fragment, stepList, key, hasHarvest):
         # select only a subset of the workflows
         selected = [
             ('2018' in key and fragment == "TTbar_13"),
             ('2021' in key and fragment == "TTbar_14TeV"),
             ('2018' in key and fragment == "ZMM_13"),
             ('2021' in key and fragment == "ZMM_14"),
             ('2026D88' in key and fragment == "TTbar_14TeV" and "PixelOnly" in self.suffix)
         ]
         result = any(selected) and hasHarvest
 
         return result
 
     def setup_(self, step, stepName, stepDict, k, properties):
         # skip ALCA and Nano steps (but not RecoNano or HARVESTNano for Run3)
         if 'ALCA' in step or 'Nano'==step:
             stepDict[stepName][k] = None
         elif 'Digi' in step:
             if self.__digi is None:
               stepDict[stepName][k] = None
             else:
               stepDict[stepName][k] = merge([self.__digi, stepDict[step][k]])
         elif 'Reco' in step:
             if self.__reco is None:
               stepDict[stepName][k] = None
             else:
               stepDict[stepName][k] = merge([self.__reco, stepDict[step][k]])
         elif 'HARVEST' in step:
             if self.__harvest is None:
               stepDict[stepName][k] = None
             else:
               stepDict[stepName][k] = merge([self.__harvest, stepDict[step][k]])
 
 # Pixel-only quadruplets workflow running on CPU
 #  - HLT on CPU
 #  - Pixel-only reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM'
     },
     suffix = 'Patatrack_PixelOnlyCPU',
     offset = 0.501,
 )
 
 # Pixel-only quadruplets workflow running on CPU or GPU
 #  - HLT on GPU (optional)
 #  - Pixel-only reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit,gpu'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM'
     },
     suffix = 'Patatrack_PixelOnlyGPU',
     offset = 0.502,
 )
 
 # Pixel-only quadruplets workflow running on CPU and GPU
 #  - HLT on GPU (required)
 #  - Pixel-only reconstruction on both CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM',
         '--procModifiers': 'gpuValidation'
     },
     suffix = 'Patatrack_PixelOnlyGPU_Validation',
     offset = 0.503,
 )
 
 # Pixel-only quadruplets workflow running on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - Pixel-only reconstruction on GPU (optional)
 upgradeWFs['PatatrackPixelOnlyGPUProfiling'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly',
         '--procModifiers': 'pixelNtupletFit,gpu',
         '--customise' : 'RecoTracker/Configuration/customizePixelOnlyForProfiling.customizePixelOnlyForProfilingGPUOnly'
     },
     harvest = None,
     suffix = 'Patatrack_PixelOnlyGPU_Profiling',
     offset = 0.504,
 )
 
 # Pixel-only triplets workflow running on CPU
 #  - HLT on CPU
 #  - Pixel-only reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyTripletsCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit',
         '--customise' : 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM'
     },
     suffix = 'Patatrack_PixelOnlyTripletsCPU',
     offset = 0.505,
 )
 
 # Pixel-only triplets workflow running on CPU or GPU
 #  - HLT on GPU (optional)
 #  - Pixel-only reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyTripletsGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit,gpu',
         '--customise': 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM'
     },
     suffix = 'Patatrack_PixelOnlyTripletsGPU',
     offset = 0.506,
 )
 
 # Pixel-only triplets workflow running on CPU and GPU
 #  - HLT on GPU (required)
 #  - Pixel-only reconstruction on both CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackPixelOnlyTripletsGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly,VALIDATION:@pixelTrackingOnlyValidation,DQM:@pixelTrackingOnlyDQM',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation',
         '--customise': 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM',
         '--procModifiers': 'gpuValidation',
     },
     suffix = 'Patatrack_PixelOnlyTripletsGPU_Validation',
     offset = 0.507,
 )
 
 # Pixel-only triplets workflow running on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - Pixel-only reconstruction on GPU (optional)
 upgradeWFs['PatatrackPixelOnlyTripletsGPUProfiling'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly,RECO:reconstruction_pixelTrackingOnly',
         '--procModifiers': 'pixelNtupletFit,gpu',
         '--customise': 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets,RecoTracker/Configuration/customizePixelOnlyForProfiling.customizePixelOnlyForProfilingGPUOnly'
     },
     harvest = None,
     suffix = 'Patatrack_PixelOnlyTripletsGPU_Profiling',
     offset = 0.508,
 )
 
 # ECAL-only workflow running on CPU
 #  - HLT on CPU
 #  - ECAL-only reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackECALOnlyCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_ecalOnly,RECO:reconstruction_ecalOnly,VALIDATION:@ecalOnlyValidation,DQM:@ecalOnly',
     },
     harvest = {
         '-s': 'HARVESTING:@ecalOnlyValidation+@ecal'
     },
     suffix = 'Patatrack_ECALOnlyCPU',
     offset = 0.511,
 )
 
 # ECAL-only workflow running on CPU or GPU
 #  - HLT on GPU (optional)
 #  - ECAL-only reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackECALOnlyGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_ecalOnly,RECO:reconstruction_ecalOnly,VALIDATION:@ecalOnlyValidation,DQM:@ecalOnly',
         '--procModifiers': 'gpu'
     },
     harvest = {
         '-s': 'HARVESTING:@ecalOnlyValidation+@ecal'
     },
     suffix = 'Patatrack_ECALOnlyGPU',
     offset = 0.512,
 )
 
 # ECAL-only workflow running on CPU and GPU
 #  - HLT on GPU (required)
 #  - ECAL-only reconstruction on both CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackECALOnlyGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_ecalOnly,RECO:reconstruction_ecalOnly,VALIDATION:@ecalOnlyValidation,DQM:@ecalOnly',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpuValidation'
     },
     harvest = {
         '-s': 'HARVESTING:@ecalOnlyValidation+@ecal'
     },
     suffix = 'Patatrack_ECALOnlyGPU_Validation',
     offset = 0.513,
 )
 
 # ECAL-only workflow running on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - ECAL-only reconstruction on GPU (optional)
 upgradeWFs['PatatrackECALOnlyGPUProfiling'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_ecalOnly,RECO:reconstruction_ecalOnly',
         '--procModifiers': 'gpu',
         '--customise' : 'RecoLocalCalo/Configuration/customizeEcalOnlyForProfiling.customizeEcalOnlyForProfilingGPUOnly'
     },
     harvest = None,
     suffix = 'Patatrack_ECALOnlyGPU_Profiling',
     offset = 0.514,
 )
 
 # HCAL-only workflow running on CPU
 #  - HLT on CPU
 #  - HCAL-only reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackHCALOnlyCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_hcalOnly,RECO:reconstruction_hcalOnly,VALIDATION:@hcalOnlyValidation,DQM:@hcalOnly+@hcal2Only',
     },
     harvest = {
         '-s': 'HARVESTING:@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_HCALOnlyCPU',
     offset = 0.521,
 )
 
 # HCAL-only workflow running on CPU or GPU
 #  - HLT on GPU (optional)
 #  - HCAL-only reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackHCALOnlyGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_hcalOnly,RECO:reconstruction_hcalOnly,VALIDATION:@hcalOnlyValidation,DQM:@hcalOnly+@hcal2Only',
         '--procModifiers': 'gpu'
     },
     harvest = {
         '-s': 'HARVESTING:@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_HCALOnlyGPU',
     offset = 0.522,
 )
 
 # HCAL-only workflow running on CPU and GPU
 #  - HLT on GPU (required)
 #  - HCAL-only reconstruction on both CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackHCALOnlyGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_hcalOnly,RECO:reconstruction_hcalOnly,VALIDATION:@hcalOnlyValidation,DQM:@hcalOnly+@hcal2Only',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpuValidation'
     },
     harvest = {
         '-s': 'HARVESTING:@hcalOnlyValidation+@hcal'
     },
     suffix = 'Patatrack_HCALOnlyGPU_Validation',
     offset = 0.523,
 )
 
 # HCAL-only workflow running on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - HCAL-only reconstruction on GPU (optional)
 upgradeWFs['PatatrackHCALOnlyGPUProfiling'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_hcalOnly,RECO:reconstruction_hcalOnly',
         '--procModifiers': 'gpu',
         '--customise' : 'RecoLocalCalo/Configuration/customizeHcalOnlyForProfiling.customizeHcalOnlyForProfilingGPUOnly'
     },
     harvest = None,
     suffix = 'Patatrack_HCALOnlyGPU_Profiling',
     offset = 0.524,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU
 #  - HLT on CPU
 #  - reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackAllCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--procModifiers': 'pixelNtupletFit'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_AllCPU',
     offset = 0.581,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU or GPU
 #  - HLT on GPU (optional)
 #  - reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackAllGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--procModifiers': 'pixelNtupletFit,gpu'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_AllGPU',
     offset = 0.582,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU and GPU
 #  - HLT on GPU (required)
 #  - reconstruction on CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackAllGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only',
         '--procModifiers': 'gpuValidation'
     },
     suffix = 'Patatrack_AllGPU_Validation',
     offset = 0.583,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - minimal reconstruction on GPU (optional)
 # FIXME workflow 0.584 to be implemented
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU
 #  - HLT on CPU
 #  - reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackAllTripletsCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--procModifiers': 'pixelNtupletFit'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_AllTripletsCPU',
     offset = 0.585,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU or GPU
 #  - HLT on GPU (optional)
 #  - reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackAllTripletsGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--procModifiers': 'pixelNtupletFit,gpu'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only'
     },
     suffix = 'Patatrack_AllTripletsGPU',
     offset = 0.586,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU and GPU
 #  - HLT on GPU (required)
 #  - reconstruction on CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackAllTripletsGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         '-s': 'RAW2DIGI:RawToDigi_pixelOnly+RawToDigi_ecalOnly+RawToDigi_hcalOnly,RECO:reconstruction_pixelTrackingOnly+reconstruction_ecalOnly+reconstruction_hcalOnly,VALIDATION:@pixelTrackingOnlyValidation+@ecalOnlyValidation+@hcalOnlyValidation,DQM:@pixelTrackingOnlyDQM+@ecalOnly+@hcalOnly+@hcal2Only',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation'
     },
     harvest = {
         '-s': 'HARVESTING:@trackingOnlyValidation+@pixelTrackingOnlyDQM+@ecalOnlyValidation+@ecal+@hcalOnlyValidation+@hcalOnly+@hcal2Only',
         '--procModifiers': 'gpuValidation'
     },
     suffix = 'Patatrack_AllTripletsGPU_Validation',
     offset = 0.587,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU or GPU, trimmed down for benchmarking
 #  - HLT on GPU (optional)
 #  - minimal reconstruction on GPU (optional)
 # FIXME workflow 0.588 to be implemented
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU, together with the full offline reconstruction
 #  - HLT on CPU
 #  - reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackFullRecoCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoCPU',
     offset = 0.591,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on GPU (optional), together with the full offline reconstruction on CPU
 #  - HLT on GPU (optional)
 #  - reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackFullRecoGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit,gpu'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoGPU',
     offset = 0.592,
 )
 
 # Workflow running the Pixel quadruplets, ECAL and HCAL reconstruction on CPU and GPU, together with the full offline reconstruction on CPU
 #  - HLT on GPU (required)
 #  - reconstruction on CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackFullRecoGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoGPU_Validation',
     offset = 0.593,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU, together with the full offline reconstruction
 #  - HLT on CPU
 #  - reconstruction on CPU, with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackFullRecoTripletsCPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit',
         '--customise' : 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoTripletsCPU',
     offset = 0.595,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on GPU (optional), together with the full offline reconstruction on CPU
 #  - HLT on GPU (optional)
 #  - reconstruction on GPU (optional), with DQM and validation
 #  - harvesting
 upgradeWFs['PatatrackFullRecoTripletsGPU'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--procModifiers': 'gpu'
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--procModifiers': 'pixelNtupletFit,gpu',
         '--customise': 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoTripletsGPU',
     offset = 0.596,
 )
 
 # Workflow running the Pixel triplets, ECAL and HCAL reconstruction on CPU and GPU, together with the full offline reconstruction on CPU
 #  - HLT on GPU (required)
 #  - reconstruction on CPU and GPU, with DQM and validation for GPU-vs-CPU comparisons
 #  - harvesting
 upgradeWFs['PatatrackFullRecoTripletsGPUValidation'] = PatatrackWorkflow(
     digi = {
         # the HLT menu is already set up for using GPUs if available and if the "gpu" modifier is enabled
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'gpu'
     },
     reco = {
         # skip the @pixelTrackingOnlyValidation which cannot run together with the full reconstruction
         '-s': 'RAW2DIGI:RawToDigi+RawToDigi_pixelOnly,L1Reco,RECO:reconstruction+reconstruction_pixelTrackingOnly,RECOSIM,PAT,VALIDATION:@standardValidation+@miniAODValidation,DQM:@standardDQM+@ExtraHLT+@miniAODDQM+@pixelTrackingOnlyDQM',
         '--accelerators': 'gpu-nvidia',
         '--procModifiers': 'pixelNtupletFit,gpuValidation',
         '--customise' : 'RecoPixelVertexing/Configuration/customizePixelTracksForTriplets.customizePixelTracksForTriplets'
     },
     harvest = {
         # skip the @pixelTrackingOnlyDQM harvesting
     },
     suffix = 'Patatrack_FullRecoTripletsGPU_Validation',
     offset = 0.597,
 )
 
 
 # end of Patatrack workflows
 
 class UpgradeWorkflow_ProdLike(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'GenSimHLBeamSpot14' in step:
             stepDict[stepName][k] = merge([{'--eventcontent': 'RAWSIM', '--datatier': 'GEN-SIM'},stepDict[step][k]])
         elif 'Digi' in step and 'Trigger' not in step:
             stepDict[stepName][k] = merge([{'-s': 'DIGI,L1,DIGI2RAW,HLT:@relval2022', '--datatier':'GEN-SIM-RAW', '--eventcontent':'RAWSIM'}, stepDict[step][k]])
         elif 'DigiTrigger' in step: # for Phase-2
             stepDict[stepName][k] = merge([{'-s': 'DIGI,L1TrackTrigger,L1,DIGI2RAW,HLT:@fake2', '--datatier':'GEN-SIM-RAW', '--eventcontent':'RAWSIM'}, stepDict[step][k]])
         elif 'Reco' in step:
             stepDict[stepName][k] = merge([{'-s': 'RAW2DIGI,L1Reco,RECO,RECOSIM', '--datatier':'AODSIM', '--eventcontent':'AODSIM'}, stepDict[step][k]])
         elif 'MiniAOD' in step:
             # the separate miniAOD step is used here
             stepDict[stepName][k] = deepcopy(stepDict[step][k])
         elif 'ALCA' in step or 'HARVEST' in step:
             # remove step
             stepDict[stepName][k] = None
         elif 'Nano'==step:
             stepDict[stepName][k] = merge([{'--filein':'file:step4.root','-s':'NANO','--datatier':'NANOAODSIM','--eventcontent':'NANOEDMAODSIM'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and ('2026' in key or '2021' in key)
 upgradeWFs['ProdLike'] = UpgradeWorkflow_ProdLike(
     steps = [
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'MiniAOD',
         'ALCA',
         'Nano',
     ],
     PU = [
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'MiniAOD',
         'ALCA',
         'Nano',
     ],
     suffix = '_ProdLike',
     offset = 0.21,
 )
 
 class UpgradeWorkflow_HLT75e33(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'HARVEST' in step:
             stepDict[stepName][k] = merge([{'--filein':'file:step3_inDQM.root'}, stepDict[step][k]])
         else:
             stepDict[stepName][k] = merge([stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2026' in key
 upgradeWFs['HLT75e33'] = UpgradeWorkflow_HLT75e33(
     steps = [
         'GenSimHLBeamSpot14',
         'DigiTrigger',
         'RecoGlobal',
         'HLT75e33',
         'HARVESTGlobal',
     ],
     PU = [
         'GenSimHLBeamSpot14',
         'DigiTrigger',
         'RecoGlobal',
         'HLT75e33',
         'HARVESTGlobal',
     ],
     suffix = '_HLT75e33',
     offset = 0.75,
 )
 
 class UpgradeWorkflow_Neutron(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'GenSim' in step:
             custNew = "SimG4Core/Application/NeutronBGforMuonsXS_cff.customise"
         else:
             custNew = "SLHCUpgradeSimulations/Configuration/customise_mixing.customise_Mix_LongLived_Neutrons"
         stepDict[stepName][k] = deepcopy(stepDict[step][k])
         if '--customise' in stepDict[stepName][k].keys():
             stepDict[stepName][k]['--customise'] += ","+custNew
         else:
             stepDict[stepName][k]['--customise'] = custNew
     def condition(self, fragment, stepList, key, hasHarvest):
         return any(fragment==nfrag for nfrag in self.neutronFrags) and any(nkey in key for nkey in self.neutronKeys)
 upgradeWFs['Neutron'] = UpgradeWorkflow_Neutron(
     steps = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
     ],
     PU = [
         'Digi',
         'DigiTrigger',
     ],
     suffix = '_Neutron',
     offset = 0.12,
 )
 # add some extra info
 upgradeWFs['Neutron'].neutronKeys = [x for x in upgradeKeys[2026] if 'PU' not in x]
 upgradeWFs['Neutron'].neutronFrags = ['ZMM_14','MinBias_14TeV']
 
 class UpgradeWorkflow_heCollapse(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         stepDict[stepName][k] = merge([{'--procModifiers': 'run2_HECollapse_2018'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_13" and '2018' in key
 upgradeWFs['heCollapse'] = UpgradeWorkflow_heCollapse(
     steps = [
         'GenSim',
         'Digi',
         'Reco',
         'HARVEST',
         'ALCA',
     ],
     PU = [
         'Digi',
         'Reco',
         'HARVEST',
     ],
     suffix = '_heCollapse',
     offset = 0.6,
 )
 
 class UpgradeWorkflow_ecalDevel(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         # temporarily remove trigger & downstream steps
         mods = {'--era': stepDict[step][k]['--era']+',phase2_ecal_devel'}
         if 'Digi' in step:
             mods['-s'] = 'DIGI:pdigi_valid,DIGI2RAW'
         elif 'Reco' in step:
             mods['-s'] = 'RAW2DIGI,RECO:reconstruction_ecalOnly,VALIDATION:@ecalOnlyValidation,DQM:@ecalOnly'
             mods['--datatier'] = 'GEN-SIM-RECO,DQMIO'
             mods['--eventcontent'] = 'FEVTDEBUGHLT,DQM'
         elif 'HARVEST' in step:
             mods['-s'] = 'HARVESTING:@ecalOnlyValidation+@ecal'
         stepDict[stepName][k] = merge([mods, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2026' in key
 upgradeWFs['ecalDevel'] = UpgradeWorkflow_ecalDevel(
     steps = [
         'DigiTrigger',
         'RecoGlobal',
         'HARVESTGlobal',
     ],
     PU = [
         'DigiTrigger',
         'RecoGlobal',
         'HARVESTGlobal',
     ],
     suffix = '_ecalDevel',
     offset = 0.61,
 )
 
 class UpgradeWorkflow_0T(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         myGT=stepDict[step][k]['--conditions']
         myGT+="_0T"
         stepDict[stepName][k] = merge([{'-n':'1','--magField':'0T','--conditions':myGT}, stepDict[step][k]])
     def setupPU_(self, step, stepName, stepDict, k, properties):
         # override '-n' setting from PUDataSets in relval_steps.py
         stepDict[stepName][k] = merge([{'-n':'1'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=="TTbar_13" or fragment=="TTbar_14TeV") and ('2017' in key or '2018' in key or '2021' in key)
 upgradeWFs['0T'] = UpgradeWorkflow_0T(
     steps = [
         'GenSim',
         'Digi',
         'Reco',
         'HARVEST',
         'RecoNano',
         'HARVESTNano',
         'ALCA',
     ],
     PU = [
         'Digi',
         'Reco',
         'HARVEST',
         'RecoNano',
         'HARVESTNano',
     ],
     suffix = '_0T',
     offset = 0.24,
 )
 
 class UpgradeWorkflow_ParkingBPH(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Reco' in step and 'Run2_2018' in stepDict[step][k]['--era']:
             stepDict[stepName][k] = merge([{'--era': 'Run2_2018,bParking'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_13" and '2018' in key
 upgradeWFs['ParkingBPH'] = UpgradeWorkflow_ParkingBPH(
     steps = [
         'Reco',
     ],
     PU = [],
     suffix = '_ParkingBPH',
     offset = 0.8,
 )
 
 class UpgradeWorkflow_JMENano(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Nano' in step:
             stepDict[stepName][k] = merge([{'--customise': 'PhysicsTools/NanoAOD/custom_jme_cff.PrepJMECustomNanoAOD_MC'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_13" and ('2017' in key or '2018' in key)
 upgradeWFs['JMENano'] = UpgradeWorkflow_JMENano(
     steps = [
         'Nano',
     ],
     PU = [],
     suffix = '_JMENano',
     offset = 0.15,
 )
 
 
 # common operations for aging workflows
 class UpgradeWorkflowAging(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Digi' in step or 'Reco' in step:
             stepDict[stepName][k] = merge([{'--customise': 'SLHCUpgradeSimulations/Configuration/aging.customise_aging_'+self.lumi}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2026' in key
 # define several of them
 upgradeWFs['Aging1000'] = UpgradeWorkflowAging(
     steps =  [
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
     ],
     PU =  [
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
     ],
     suffix = 'Aging1000',
     offset = 0.101,
 )
 upgradeWFs['Aging1000'].lumi = '1000'
 upgradeWFs['Aging3000'] = deepcopy(upgradeWFs['Aging1000'])
 upgradeWFs['Aging3000'].suffix = 'Aging3000'
 upgradeWFs['Aging3000'].offset = 0.103
 upgradeWFs['Aging3000'].lumi = '3000'
 
 #
 # Simulates Bias Rail in Phase-2 OT PS modules and X% random bad Strips
 # in PS-s and SS sensors
 #
 class UpgradeWorkflow_OTInefficiency(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Digi' in step:
             stepDict[stepName][k] = merge([{'--customise': 'SimTracker/SiPhase2Digitizer/customizeForOTInefficiency.customizeSiPhase2OTInefficiency'+self.percent+'Percent'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return fragment=="TTbar_14TeV" and '2026' in key
 # define several of them
 upgradeWFs['OTInefficiency'] = UpgradeWorkflow_OTInefficiency(
     steps =  [
         'Digi',
         'DigiTrigger',
     ],
     PU =  [
         'Digi',
         'DigiTrigger',
     ],
     suffix = '_OTInefficiency',
     offset = 0.111,
 )
 upgradeWFs['OTInefficiency'].percent = 'Zero'
 
 # 1% bad strips
 upgradeWFs['OTInefficiency1PC'] = deepcopy(upgradeWFs['OTInefficiency'])
 upgradeWFs['OTInefficiency1PC'].suffix = '_OTInefficiency1PC'
 upgradeWFs['OTInefficiency1PC'].offset = 0.112
 upgradeWFs['OTInefficiency1PC'].percent = 'One'
 
 # 5% bad strips
 upgradeWFs['OTInefficiency5PC'] = deepcopy(upgradeWFs['OTInefficiency'])
 upgradeWFs['OTInefficiency5PC'].suffix = '_OTInefficiency5PC'
 upgradeWFs['OTInefficiency5PC'].offset = 0.113
 upgradeWFs['OTInefficiency5PC'].percent = 'Five'
 
 # 10% bad strips
 upgradeWFs['OTInefficiency10PC'] = deepcopy(upgradeWFs['OTInefficiency'])
 upgradeWFs['OTInefficiency10PC'].suffix = '_OTInefficiency10PC'
 upgradeWFs['OTInefficiency10PC'].offset = 0.114
 upgradeWFs['OTInefficiency10PC'].percent = 'Ten'
 
 # Specifying explicitly the --filein is not nice but that was the
 # easiest way to "skip" the output of step2 (=premixing stage1) for
 # filein (as it goes to pileup_input). It works (a bit accidentally
 # though) also for "-i all" because in that case the --filein for DAS
 # input is after this one in the list of command line arguments to
 # cmsDriver, and gets then used in practice.
 digiPremixLocalPileup = {
     "--filein": "file:step1.root",
     "--pileup_input": "file:step2.root"
 }
 
 # for premix
 class UpgradeWorkflowPremix(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         # just copy steps
         stepDict[stepName][k] = merge([stepDict[step][k]])
     def setupPU_(self, step, stepName, stepDict, k, properties):
         # setup for stage 1
         if "GenSim" in stepName:
             stepNamePmx = stepName.replace('GenSim','Premix')
             if not stepNamePmx in stepDict: stepDict[stepNamePmx] = {}
             stepDict[stepNamePmx][k] = merge([
                 {
                     '-s': 'GEN,SIM,DIGI:pdigi_valid',
                     '--datatier': 'PREMIX',
                     '--eventcontent': 'PREMIX',
                     '--procModifiers': 'premix_stage1'
                 },
                 stepDict[stepName][k]
             ])
             if "ProdLike" in self.suffix:
                 stepDict[stepNamePmx][k] = merge([{'-s': 'GEN,SIM,DIGI'},stepDict[stepNamePmx][k]])
         # setup for stage 2
         elif "Digi" in step or "Reco" in step:
             # go back to non-PU step version
             d = merge([stepDict[self.getStepName(step)][k]])
             if d is None: return
             if "Digi" in step:
                 tmpsteps = []
                 for s in d["-s"].split(","):
                     if s == "DIGI" or "DIGI:" in s:
                         tmpsteps.extend([s, "DATAMIX"])
                     else:
                         tmpsteps.append(s)
                 d = merge([{"-s"             : ",".join(tmpsteps),
                             "--datamix"      : "PreMix",
                             "--procModifiers": "premix_stage2"},
                            d])
                 # for combined stage1+stage2
                 if "_PMXS1S2" in self.suffix:
                     d = merge([digiPremixLocalPileup, d])
             elif "Reco" in step:
                 if "--procModifiers" in d:
                     d["--procModifiers"] += ",premix_stage2"
                 else:
                     d["--procModifiers"] = "premix_stage2"
             stepDict[stepName][k] = d
         # Increase the input file step number by one for Nano in combined stage1+stage2
         elif "Nano"==step:
             # go back to non-PU step version
             d = merge([stepDict[self.getStepName(step)][k]])
             if "--filein" in d:
                 filein = d["--filein"]
                 m = re.search("step(?P<ind>\d+)_", filein)
                 if m:
                     d["--filein"] = filein.replace(m.group(), "step%d_"%(int(m.group("ind"))+1))
             stepDict[stepName][k] = d
             # run2/3 WFs use Nano (not NanoPU) in PU WF
             stepDict[self.getStepName(step)][k] = merge([d])
     def condition(self, fragment, stepList, key, hasHarvest):
         if not 'PU' in key:
             return False
         if not any(y in key for y in ['2021', '2023', '2024', '2026']):
             return False
         if self.suffix.endswith("S1"):
             return "NuGun" in fragment
         return True
     def workflow_(self, workflows, num, fragment, stepList, key):
         fragmentTmp = fragment
         if self.suffix.endswith("S1"):
             fragmentTmp = 'PREMIXUP' + key[2:].replace("PU", "").replace("Design", "") + '_PU25'
         super(UpgradeWorkflowPremix,self).workflow_(workflows, num, fragmentTmp, stepList, key)
 # Premix stage1
 upgradeWFs['PMXS1'] = UpgradeWorkflowPremix(
     steps = [
     ],
     PU = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
     ],
     suffix = '_PMXS1',
     offset = 0.97,
 )
 # Premix stage2
 upgradeWFs['PMXS2'] = UpgradeWorkflowPremix(
     steps = [],
     PU = [
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'Nano',
     ],
     suffix = '_PMXS2',
     offset = 0.98,
 )
 # Premix combined stage1+stage2
 upgradeWFs['PMXS1S2'] = UpgradeWorkflowPremix(
     steps = [],
     PU = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'Nano',
     ],
     suffix = '_PMXS1S2',
     offset = 0.99,
 )
 # Alternative version of above w/ less PU for PR tests
 class UpgradeWorkflowAdjustPU(UpgradeWorkflowPremix):
     def setupPU_(self, step, stepName, stepDict, k, properties):
         # adjust first, so it gets copied into new Premix step
         if '--pileup' in stepDict[stepName][k]:
             stepDict[stepName][k]['--pileup'] = 'AVE_50_BX_25ns_m3p3'
         super(UpgradeWorkflowAdjustPU,self).setupPU_(step, stepName, stepDict, k, properties)
     def condition(self, fragment, stepList, key, hasHarvest):
         # restrict to phase2
         return super(UpgradeWorkflowAdjustPU,self).condition(fragment, stepList, key, hasHarvest) and '2026' in key
 upgradeWFs['PMXS1S2PR'] = UpgradeWorkflowAdjustPU(
     steps = [],
     PU = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
         'Nano',
         'HARVEST',
         'HARVESTGlobal',
     ],
     suffix = '_PMXS1S2PR',
     offset = 0.999,
 )
 
 class UpgradeWorkflowPremixProdLike(UpgradeWorkflowPremix,UpgradeWorkflow_ProdLike):
     def setup_(self, step, stepName, stepDict, k, properties):
         # copy steps, then apply specializations
         UpgradeWorkflowPremix.setup_(self, step, stepName, stepDict, k, properties)
         UpgradeWorkflow_ProdLike.setup_(self, step, stepName, stepDict, k, properties)
         #
         if 'Digi' in step:
             d = merge([stepDict[self.getStepName(step)][k]])
             tmpsteps = []
             for s in d["-s"].split(","):
                 if "DIGI:pdigi_valid" in s:
                     tmpsteps.append("DIGI")
                 else:
                     tmpsteps.append(s)
             d = merge([{"-s" : ",".join(tmpsteps),
                         "--eventcontent": "PREMIXRAW"},
                        d])
             stepDict[stepName][k] = d
         if 'Nano'==step:
             stepDict[stepName][k] = merge([{'--filein':'file:step5.root','-s':'NANO','--datatier':'NANOAODSIM','--eventcontent':'NANOEDMAODSIM'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         # use both conditions
         return UpgradeWorkflowPremix.condition(self, fragment, stepList, key, hasHarvest) and UpgradeWorkflow_ProdLike.condition(self, fragment, stepList, key, hasHarvest)
 # premix stage2
 upgradeWFs['PMXS2ProdLike'] = UpgradeWorkflowPremixProdLike(
     steps = [],
     PU = [
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'Nano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'MiniAOD',
         'ALCA',
     ],
     suffix = '_PMXS2ProdLike',
     offset = 0.9821,
 )
 # premix combined stage1+stage2
 upgradeWFs['PMXS1S2ProdLike'] = UpgradeWorkflowPremixProdLike(
     steps = [],
     PU = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'RecoLocal',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'Nano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'MiniAOD',
         'ALCA',
     ],
     suffix = '_PMXS1S2ProdLike',
     offset = 0.9921,
 )
 
 class UpgradeWorkflow_Run3FS(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'GenSim' in step:
             stepDict[stepName][k] = merge([{'-s':'GEN,SIM,RECOBEFMIX,DIGI:pdigi_valid,L1,DIGI2RAW,L1Reco,RECO,PAT,VALIDATION:@standardValidation,DQM:@standardDQMFS',
                                             '--fast':'',
                                             '--era':'Run3_FastSim',
                                             '--eventcontent':'FEVTDEBUGHLT,MINIAODSIM,DQM',
                                             '--datatier':'GEN-SIM-DIGI-RECO,MINIAODSIM,DQMIO',
                                             '--relval':'27000,3000'}, stepDict[step][k]])
         if 'Digi' in step or 'RecoNano' in step or 'ALCA' in step:
             stepDict[stepName][k] = None
         if 'HARVESTNano' in step:
             stepDict[stepName][k] = merge([{'-s':'HARVESTING:validationHarvesting',
                                             '--fast':'',
                                             '--era':'Run3_FastSim',
                                             '--filein':'file:step1_inDQM.root'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key
 upgradeWFs['Run3FS'] = UpgradeWorkflow_Run3FS(
     steps = [
         'GenSim',
         'Digi',
         'RecoNano',
         'HARVESTNano',
         'ALCA'
     ],
     PU = [],
     suffix = '_Run3FS',
     offset = 0.301,
 )
 
 class UpgradeWorkflow_Run3FStrackingOnly(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'GenSim' in step:
             stepDict[stepName][k] = merge([{'-s':'GEN,SIM,RECOBEFMIX,DIGI:pdigi_valid,L1,DIGI2RAW,L1Reco,RECO,PAT,VALIDATION:@trackingOnlyValidation',
                                             '--fast':'',
                                             '--era':'Run3_FastSim',
                                             '--eventcontent':'FEVTDEBUGHLT,MINIAODSIM,DQM',
                                             '--datatier':'GEN-SIM-DIGI-RECO,MINIAODSIM,DQMIO',
                                             '--relval':'27000,3000'}, stepDict[step][k]])
         if 'Digi' in step or 'RecoNano' in step or 'ALCA' in step:
             stepDict[stepName][k] = None
         if 'HARVESTNano' in step:
             stepDict[stepName][k] = merge([{'-s':'HARVESTING:@trackingOnlyValidation+@trackingOnlyDQM',
                                             '--fast':'',
                                             '--era':'Run3_FastSim',
                                             '--filein':'file:step1_inDQM.root'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key
 upgradeWFs['Run3FStrackingOnly'] = UpgradeWorkflow_Run3FStrackingOnly(
     steps = [
         'GenSim',
         'Digi',
         'RecoNano',
         'HARVESTNano',
         'ALCA'
     ],
     PU = [],
     suffix = '_Run3FSTrackingOnly',
     offset = 0.302,
 )
 
 class UpgradeWorkflow_Run3FSMBMixing(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'GenSim' in step:
             stepDict[stepName][k] = merge([{'-s':'GEN,SIM,RECOBEFMIX',
                                             '--fast':'',
                                             '--era':'Run3_FastSim',
                                             '--eventcontent':'FASTPU',
                                             '--datatier':'GEN-SIM-RECO',
                                             '--relval':'27000,3000'}, stepDict[step][k]])
         if 'Digi' in step or 'RecoNano' in step or 'ALCA' in step or 'HARVESTNano' in step:
             stepDict[stepName][k] = None
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key and fragment=="MinBias_14TeV"
 upgradeWFs['Run3FSMBMixing'] = UpgradeWorkflow_Run3FSMBMixing(
     steps = [
         'GenSim',
         'Digi',
         'RecoNano',
         'HARVESTNano',
         'ALCA'
     ],
     PU = [],
     suffix = '_Run3FSMBMixing',
     offset = 0.303,
 )
 
 class UpgradeWorkflow_DD4hep(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Run3' in stepDict[step][k]['--era']:
             stepDict[stepName][k] = merge([{'--geometry': 'DD4hepExtended2021'}, stepDict[step][k]])
         elif 'Phase2' in stepDict[step][k]['--era']:
             dd4hepGeom="DD4hep"
             dd4hepGeom+=stepDict[step][k]['--geometry']
             stepDict[stepName][k] = merge([{'--geometry' : dd4hepGeom, '--procModifiers': 'dd4hep'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key or '2026' in key
 upgradeWFs['DD4hep'] = UpgradeWorkflow_DD4hep(
     steps = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'ALCA',
     ],
     PU = [],
     suffix = '_DD4hep',
     offset = 0.911,
 )
 upgradeWFs['DD4hep'].allowReuse = False
 
 #This workflow is now obsolete, it becomes default for Run-3.
 #Keep it for future use in Phase-2, then delete
 class UpgradeWorkflow_DD4hepDB(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Run3' in stepDict[step][k]['--era']:
             stepDict[stepName][k] = merge([{'--conditions': 'auto:phase1_2022_realistic', '--geometry': 'DB:Extended'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key
 upgradeWFs['DD4hepDB'] = UpgradeWorkflow_DD4hepDB(
     steps = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'ALCA',
     ],
     PU = [],
     suffix = '_DD4hepDB',
     offset = 0.912,
 )
 upgradeWFs['DD4hepDB'].allowReuse = False
 
 class UpgradeWorkflow_DDDDB(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         if 'Run3' in stepDict[step][k]['--era']:
             # retain any other eras
             tmp_eras = stepDict[step][k]['--era'].split(',')
             tmp_eras[tmp_eras.index("Run3")] = 'Run3_DDD'
             tmp_eras = ','.join(tmp_eras)
             stepDict[stepName][k] = merge([{'--conditions': 'auto:phase1_2022_realistic_ddd', '--geometry': 'DB:Extended', '--era': tmp_eras}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return '2021' in key
 upgradeWFs['DDDDB'] = UpgradeWorkflow_DDDDB(
     steps = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'ALCA',
     ],
     PU = [],
     suffix = '_DDDDB',
     offset = 0.914,
 )
 upgradeWFs['DDDDB'].allowReuse = False
 
 class UpgradeWorkflow_SonicTriton(UpgradeWorkflow):
     def setup_(self, step, stepName, stepDict, k, properties):
         stepDict[stepName][k] = merge([{'--procModifiers': 'allSonicTriton'}, stepDict[step][k]])
     def condition(self, fragment, stepList, key, hasHarvest):
         return (fragment=='TTbar_13' and '2021' in key) \
             or (fragment=='TTbar_14TeV' and '2026' in key)
 upgradeWFs['SonicTriton'] = UpgradeWorkflow_SonicTriton(
     steps = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'ALCA',
     ],
     PU = [
         'GenSim',
         'GenSimHLBeamSpot',
         'GenSimHLBeamSpot14',
         'Digi',
         'DigiTrigger',
         'Reco',
         'RecoGlobal',
         'RecoNano',
         'HARVEST',
         'HARVESTGlobal',
         'HARVESTNano',
         'ALCA',
     ],
     suffix = '_SonicTriton',
     offset = 0.9001,
 )
 
 # check for duplicate offsets
 offsets = [specialWF.offset for specialType,specialWF in upgradeWFs.items()]
 seen = set()
 dups = set(x for x in offsets if x in seen or seen.add(x))
 if len(dups)>0:
     raise ValueError("Duplicate special workflow offsets not allowed: "+','.join([str(x) for x in dups]))
 
 upgradeProperties = {}
 
 upgradeProperties[2017] = {
     '2017' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2017_realistic',
         'HLTmenu': '@relval2017',
         'Era' : 'Run2_2017',
         'ScenToRun' : ['GenSim','Digi','RecoFakeHLT','HARVESTFakeHLT','ALCA','Nano'],
     },
     '2017Design' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2017_design',
         'HLTmenu': '@relval2017',
         'Era' : 'Run2_2017',
         'BeamSpot': 'GaussSigmaZ4cm',
         'ScenToRun' : ['GenSim','Digi','RecoFakeHLT','HARVESTFakeHLT'],
     },
     '2018' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2018_realistic',
         'HLTmenu': '@relval2018',
         'Era' : 'Run2_2018',
         'BeamSpot': 'Realistic25ns13TeVEarly2018Collision',
         'ScenToRun' : ['GenSim','Digi','RecoFakeHLT','HARVESTFakeHLT','ALCA','Nano'],
     },
     '2018Design' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2018_design',
         'HLTmenu': '@relval2018',
         'Era' : 'Run2_2018',
         'BeamSpot': 'GaussSigmaZ4cm',
         'ScenToRun' : ['GenSim','Digi','RecoFakeHLT','HARVESTFakeHLT'],
     },
     '2021' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2022_realistic',
         'HLTmenu': '@relval2022',
         'Era' : 'Run3',
         'BeamSpot': 'Run3RoundOptics25ns13TeVLowSigmaZ',
         'ScenToRun' : ['GenSim','Digi','RecoNano','HARVESTNano','ALCA'],
     },
     '2021Design' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2022_design',
         'HLTmenu': '@relval2022',
         'Era' : 'Run3',
         'BeamSpot': 'GaussSigmaZ4cm',
         'ScenToRun' : ['GenSim','Digi','RecoNano','HARVESTNano'],
     },
     '2023' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2023_realistic',
         'HLTmenu': '@relval2022',
         'Era' : 'Run3',
         'BeamSpot': 'Run3RoundOptics25ns13TeVLowSigmaZ',
         'ScenToRun' : ['GenSim','Digi','RecoNano','HARVESTNano','ALCA'],
     },
     '2024' : {
         'Geom' : 'DB:Extended',
         'GT' : 'auto:phase1_2024_realistic',
         'HLTmenu': '@relval2022',
         'Era' : 'Run3',
         'BeamSpot': 'Run3RoundOptics25ns13TeVLowSigmaZ',
         'ScenToRun' : ['GenSim','Digi','RecoNano','HARVESTNano','ALCA'],
     },
 }
 
 # standard PU sequences
 for key in list(upgradeProperties[2017].keys()):
     upgradeProperties[2017][key+'PU'] = deepcopy(upgradeProperties[2017][key])
     upgradeProperties[2017][key+'PU']['ScenToRun'] = ['GenSim','DigiPU'] + \
                                                      (['RecoNanoPU','HARVESTNanoPU'] if '202' in key else ['RecoFakeHLTPU','HARVESTFakeHLTPU']) + \
                                                      (['Nano'] if 'Nano' in upgradeProperties[2017][key]['ScenToRun'] else [])
 
 upgradeProperties[2026] = {
     '2026D49' : {
         'Geom' : 'Extended2026D49',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T15',
         'Era' : 'Phase2C9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D60' : {
         'Geom' : 'Extended2026D60',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T15',
         'Era' : 'Phase2C10',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D68' : {
         'Geom' : 'Extended2026D68',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D70' : {
         'Geom' : 'Extended2026D70',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D76' : {
         'Geom' : 'Extended2026D76',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D77' : {
         'Geom' : 'Extended2026D77',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D80' : {
         'Geom' : 'Extended2026D80', # N.B.: Geometry with 3D pixels in the Inner Tracker L1.
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T25',
         'Era' : 'Phase2C11I13T25M9', # customized for 3D pixels and Muon M9
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D81' : {
         'Geom' : 'Extended2026D81', # N.B.: Geometry with 3D pixels (TBPX,L1) and square 50x50 um2 pixels (TFPX+TEPX) in the Inner Tracker.
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T26',
         'Era' : 'Phase2C11I13T26M9', # customized for square pixels and Muon M9
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D82' : {
         'Geom' : 'Extended2026D82',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D83' : {
         'Geom' : 'Extended2026D83',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D84' : {
         'Geom' : 'Extended2026D84',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D85' : {
         'Geom' : 'Extended2026D85',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C11I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D86' : {
         'Geom' : 'Extended2026D86',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C17I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D88' : {
         'Geom' : 'Extended2026D88',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C17I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D91' : {
         'Geom' : 'Extended2026D91',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T30',
         'Era' : 'Phase2C17I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
     '2026D92' : {
         'Geom' : 'Extended2026D92',
         'HLTmenu': '@fake2',
         'GT' : 'auto:phase2_realistic_T21',
         'Era' : 'Phase2C17I13M9',
         'ScenToRun' : ['GenSimHLBeamSpot','DigiTrigger','RecoGlobal', 'HARVESTGlobal'],
     },
 }
 
 # standard PU sequences
 for key in list(upgradeProperties[2026].keys()):
     upgradeProperties[2026][key+'PU'] = deepcopy(upgradeProperties[2026][key])
     upgradeProperties[2026][key+'PU']['ScenToRun'] = ['GenSimHLBeamSpot','DigiTriggerPU','RecoGlobalPU', 'HARVESTGlobalPU']
 
 # for relvals
 defaultDataSets = {}
 for year in upgradeKeys:
     for key in upgradeKeys[year]:
         if 'PU' in key: continue
         defaultDataSets[key] = ''
 
 
 class UpgradeFragment(object):
     def __init__(self, howMuch, dataset):
         self.howMuch = howMuch
         self.dataset = dataset
 
 upgradeFragments = OrderedDict([
     ('FourMuPt_1_200_pythia8_cfi', UpgradeFragment(Kby(10,100),'FourMuPt1_200')),
     ('SingleElectronPt10_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleElectronPt10')),
     ('SingleElectronPt35_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleElectronPt35')),
     ('SingleElectronPt1000_pythia8_cfi', UpgradeFragment(Kby(9,50),'SingleElectronPt1000')),
     ('SingleGammaPt10_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleGammaPt10')),
     ('SingleGammaPt35_pythia8_cfi', UpgradeFragment(Kby(9,50),'SingleGammaPt35')),
     ('SingleMuPt1_pythia8_cfi', UpgradeFragment(Kby(25,100),'SingleMuPt1')),
     ('SingleMuPt10_Eta2p85_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt10')),
     ('SingleMuPt100_Eta2p85_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt100')),
     ('SingleMuPt1000_Eta2p85_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt1000')),
     ('FourMuExtendedPt_1_200_pythia8_cfi', UpgradeFragment(Kby(10,100),'FourMuExtendedPt1_200')),
     ('TenMuExtendedE_0_200_pythia8_cfi', UpgradeFragment(Kby(10,100),'TenMuExtendedE_0_200')),
     ('DoubleElectronPt10Extended_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleElPt10Extended')),
     ('DoubleElectronPt35Extended_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleElPt35Extended')),
     ('DoubleElectronPt1000Extended_pythia8_cfi', UpgradeFragment(Kby(9,50),'SingleElPt1000Extended')),
     ('DoubleGammaPt10Extended_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleGammaPt10Extended')),
     ('DoubleGammaPt35Extended_pythia8_cfi', UpgradeFragment(Kby(9,50),'SingleGammaPt35Extended')),
     ('DoubleMuPt1Extended_pythia8_cfi', UpgradeFragment(Kby(25,100),'SingleMuPt1Extended')),
     ('DoubleMuPt10Extended_pythia8_cfi', UpgradeFragment(Kby(25,100),'SingleMuPt10Extended')),
     ('DoubleMuPt100Extended_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt100Extended')),
     ('DoubleMuPt1000Extended_pythia8_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt1000Extended')),
     ('TenMuE_0_200_pythia8_cfi', UpgradeFragment(Kby(10,100),'TenMuE_0_200')),
     ('SinglePiE50HCAL_pythia8_cfi', UpgradeFragment(Kby(50,500),'SinglePiE50HCAL')),
     ('MinBias_13TeV_pythia8_TuneCUETP8M1_cfi', UpgradeFragment(Kby(90,100),'MinBias_13')),
     ('TTbar_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'TTbar_13')),
     ('ZEE_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'ZEE_13')),
     ('QCD_Pt_600_800_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'QCD_Pt_600_800_13')),
     ('Wjet_Pt_80_120_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'Wjet_Pt_80_120_14TeV')),
     ('Wjet_Pt_3000_3500_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'Wjet_Pt_3000_3500_14TeV')),
     ('LM1_sfts_14TeV_cfi', UpgradeFragment(Kby(9,100),'LM1_sfts_14TeV')),
     ('QCD_Pt_3000_3500_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'QCD_Pt_3000_3500_14TeV')),
     ('QCD_Pt_80_120_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'QCD_Pt_80_120_14TeV')),
     ('H200ChargedTaus_Tauola_14TeV_cfi', UpgradeFragment(Kby(9,100),'Higgs200ChargedTaus_14TeV')),
     ('JpsiMM_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(66,100),'JpsiMM_14TeV')),
     ('TTbar_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,100),'TTbar_14TeV')),
     ('WE_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'WE_14TeV')),
     ('ZTT_Tauola_All_hadronic_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,100),'ZTT_14TeV')),
     ('H130GGgluonfusion_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'H130GGgluonfusion_14TeV')),
     ('PhotonJet_Pt_10_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'PhotonJets_Pt_10_14TeV')),
     ('QQH1352T_Tauola_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'QQH1352T_Tauola_14TeV')),
     ('MinBias_14TeV_pythia8_TuneCP5_cfi', UpgradeFragment(Kby(90,100),'MinBias_14TeV')),
     ('WToMuNu_14TeV_TuneCP5_pythia8_cfi', UpgradeFragment(Kby(9,100),'WToMuNu_14TeV')),
     ('ZMM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(18,100),'ZMM_13')),
     ('QCDForPF_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(50,100),'QCD_FlatPt_15_3000HS_14')),
     ('DYToLL_M-50_14TeV_pythia8_cff', UpgradeFragment(Kby(9,100),'DYToLL_M_50_14TeV')),
     ('DYToTauTau_M-50_14TeV_pythia8_tauola_cff', UpgradeFragment(Kby(9,100),'DYtoTauTau_M_50_14TeV')),
     ('ZEE_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,100),'ZEE_14')),
     ('QCD_Pt_80_120_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,100),'QCD_Pt_80_120_13')),
     ('H125GGgluonfusion_13TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50),'H125GGgluonfusion_13')),
     ('QCD_Pt20toInf_MuEnrichedPt15_14TeV_TuneCP5_cff', UpgradeFragment(Kby(19565, 217391),'QCD_Pt20toInfMuEnrichPt15_14')), # effi = 4.6e-4,  local=8.000e-04
     ('ZMM_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(18,100),'ZMM_14')),
     ('QCD_Pt15To7000_Flat_14TeV_TuneCP5_cff', UpgradeFragment(Kby(9,50),'QCD_Pt15To7000_Flat_14')),
     ('H125GGgluonfusion_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50),'H125GGgluonfusion_14')),
     ('QCD_Pt_600_800_14TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'QCD_Pt_600_800_14')),
     ('UndergroundCosmicSPLooseMu_cfi', UpgradeFragment(Kby(9,50),'CosmicsSPLoose')),
     ('BeamHalo_13TeV_cfi', UpgradeFragment(Kby(9,50),'BeamHalo_13')),
     ('H200ChargedTaus_Tauola_13TeV_cfi', UpgradeFragment(Kby(9,50),'Higgs200ChargedTaus_13')),
     ('ADDMonoJet_13TeV_d3MD3_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ADDMonoJet_d3MD3_13')),
     ('ZpMM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ZpMM_13')),
     ('QCD_Pt_3000_3500_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'QCD_Pt_3000_3500_13')),
     ('WpM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'WpM_13')),
     ('SingleNuE10_cfi', UpgradeFragment(Kby(9,50),'NuGun')),
     ('TTbarLepton_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'TTbarLepton_13')),
     ('WE_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'WE_13')),
     ('WM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'WM_13')),
     ('ZTT_All_hadronic_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ZTT_13')),
     ('PhotonJet_Pt_10_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'PhotonJets_Pt_10_13')),
     ('QQH1352T_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'QQH1352T_13')),
     ('Wjet_Pt_80_120_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'Wjet_Pt_80_120_13')),
     ('Wjet_Pt_3000_3500_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'Wjet_Pt_3000_3500_13')),
     ('SMS-T1tttt_mGl-1500_mLSP-100_13TeV-pythia8_cfi', UpgradeFragment(Kby(9,50),'SMS-T1tttt_mGl-1500_mLSP-100_13')),
     ('QCDForPF_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(50,100),'QCD_FlatPt_15_3000HS_13')),
     ('PYTHIA8_PhiToMuMu_TuneCUETP8M1_13TeV_cff', UpgradeFragment(Kby(9,50),'PhiToMuMu_13')),
     ('RSKKGluon_m3000GeV_13TeV_TuneCUETP8M1_cff', UpgradeFragment(Kby(9,50),'RSKKGluon_m3000GeV_13')),
     ('ZpMM_2250_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ZpMM_2250_13')),
     ('ZpEE_2250_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ZpEE_2250_13')),
     ('ZpTT_1500_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'ZpTT_1500_13')),
     ('Upsilon1SToMuMu_forSTEAM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(9,50),'Upsilon1SToMuMu_13')),
     ('EtaBToJpsiJpsi_forSTEAM_TuneCUEP8M1_13TeV_cfi', UpgradeFragment(Kby(9,50),'EtaBToJpsiJpsi_13')),
     ('JpsiMuMu_Pt-8_forSTEAM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(3100,100000),'JpsiMuMu_Pt-8')),
     ('BuMixing_BMuonFilter_forSTEAM_13TeV_TuneCUETP8M1_cfi', UpgradeFragment(Kby(900,10000),'BuMixing_13')),
     ('HSCPstop_M_200_TuneCUETP8M1_13TeV_pythia8_cff', UpgradeFragment(Kby(9,50),'HSCPstop_M_200_13')),
     ('RSGravitonToGammaGamma_kMpl01_M_3000_TuneCUETP8M1_13TeV_pythia8_cfi', UpgradeFragment(Kby(9,50),'RSGravitonToGaGa_13')),
     ('WprimeToENu_M-2000_TuneCUETP8M1_13TeV-pythia8_cff', UpgradeFragment(Kby(9,50),'WpToENu_M-2000_13')),
     ('DisplacedSUSY_stopToBottom_M_800_500mm_TuneCP5_13TeV_pythia8_cff', UpgradeFragment(Kby(9,50),'DisplacedSUSY_stopToB_M_800_500mm_13')),
     ('TenE_E_0_200_pythia8_cfi', UpgradeFragment(Kby(9,100),'TenE_0_200')),
     ('FlatRandomPtAndDxyGunProducer_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuonsDxy_0_500')),
     ('TenTau_E_15_500_pythia8_cfi', UpgradeFragment(Kby(9,100),'TenTau_15_500')),
     ('SinglePiPt25Eta1p7_2p7_cfi', UpgradeFragment(Kby(9,100),'SinglePiPt25Eta1p7_2p7')),
     ('SingleMuPt15Eta1p7_2p7_cfi', UpgradeFragment(Kby(9,100),'SingleMuPt15Eta1p7_2p7')),
     ('SingleGammaPt25Eta1p7_2p7_cfi', UpgradeFragment(Kby(9,100),'SingleGammaPt25Eta1p7_2p7')),
     ('SingleElectronPt15Eta1p7_2p7_cfi', UpgradeFragment(Kby(9,100),'SingleElectronPt15Eta1p7_2p7')),
     ('ZTT_All_hadronic_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50),'ZTT_14')),
     ('CloseByParticle_Photon_ERZRanges_cfi', UpgradeFragment(Kby(9,100),'CloseByParticleGun')),
     ('CE_E_Front_300um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_E_Front_300um')),
     ('CE_E_Front_200um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_E_Front_200um')),
     ('CE_E_Front_120um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_E_Front_120um')),
     ('CE_H_Fine_300um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_H_Fine_300um')),
     ('CE_H_Fine_200um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_H_Fine_200um')),
     ('CE_H_Fine_120um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_H_Fine_120um')),
     ('CE_H_Coarse_Scint_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_H_Coarse_Scint')),
     ('CE_H_Coarse_300um_cfi', UpgradeFragment(Kby(9,100),'CloseByPGun_CE_H_Coarse_300um')),
     ('SingleElectronFlatPt2To100_cfi', UpgradeFragment(Kby(9,100),'SingleEFlatPt2To100')),
     ('SingleMuFlatPt0p7To10_cfi', UpgradeFragment(Kby(9,100),'SingleMuFlatPt0p7To10')),
     ('SingleMuFlatPt2To100_cfi', UpgradeFragment(Kby(9,100),'SingleMuFlatPt2To100')),
     ('SingleGammaFlatPt8To150_cfi', UpgradeFragment(Kby(9,100),'SingleGammaFlatPt8To150')),
     ('SinglePiFlatPt0p7To10_cfi', UpgradeFragment(Kby(9,100),'SinglePiFlatPt0p7To10')),
     ('SingleTauFlatPt2To150_cfi', UpgradeFragment(Kby(9,100),'SingleTauFlatPt2To150')),
     ('FlatRandomPtAndDxyGunProducer_MuPt2To10_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuPt2To10')),
     ('FlatRandomPtAndDxyGunProducer_MuPt10To30_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuPt10To30')),
     ('FlatRandomPtAndDxyGunProducer_MuPt30To100_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuPt30To100')),
     ('B0ToKstarMuMu_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(304,3030),'B0ToKstarMuMu_14TeV')), # 3.3%
     ('BsToEleEle_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(223,2222),'BsToEleEle_14TeV')), # 4.5%
     ('BsToJpsiGamma_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(2500,25000),'BsToJpsiGamma_14TeV')), # 0.4%
     ('BsToJpsiPhi_mumuKK_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(910,9090),'BsToJpsiPhi_mumuKK_14TeV')), # 1.1%
     ('BsToMuMu_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(313,3125),'BsToMuMu_14TeV')), # 3.2%
     ('BsToPhiPhi_KKKK_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(556,5555),'BsToPhiPhi_KKKK_14TeV')), # 1.8%
     ('TauToMuMuMu_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(18939,189393),'TauToMuMuMu_14TeV')), # effi = 5.280e-04
     ('BdToKstarEleEle_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(206,2061),'BdToKstarEleEle_14TeV')), #effi = 4.850e-02
     ('ZpTT_1500_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50),'ZpTT_1500_14')),
     ('BuMixing_BMuonFilter_forSTEAM_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(900,10000),'BuMixing_14')),
     ('Upsilon1SToMuMu_forSTEAM_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50),'Upsilon1SToMuMu_14')),
     ('TenTau_E_15_500_Eta3p1_pythia8_cfi', UpgradeFragment(Kby(9,100),'TenTau_15_500_Eta3p1')),
     ('QCD_Pt_1800_2400_14TeV_TuneCP5_cfi', UpgradeFragment(Kby(9,50), 'QCD_Pt_1800_2400_14')),
     ('DisplacedSUSY_stopToBottom_M_800_500mm_TuneCP5_14TeV_pythia8_cff', UpgradeFragment(Kby(9,50),'DisplacedSUSY_14TeV')),
     ('GluGluTo2Jets_M_300_2000_14TeV_Exhume_cff',UpgradeFragment(Kby(9,100),'GluGluTo2Jets_14TeV')),
     ('TTbarToDilepton_mt172p5_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'TTbarToDilepton_14TeV')),
     ('QQToHToTauTau_mh125_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'QQToHToTauTau_14TeV')),
     ('ZpToEE_m6000_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'ZpToEE_m6000_14TeV')),
     ('ZpToMM_m6000_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'ZpToMM_m6000_14TeV')),
     ('SMS-T1tttt_mGl-1500_mLSP-100_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'SMS-T1tttt_14TeV')),
     ('VBFHZZ4Nu_TuneCP5_14TeV_pythia8_cfi',UpgradeFragment(Kby(9,50),'VBFHZZ4Nu_14TeV')),
     ('EtaBToJpsiJpsi_14TeV_TuneCP5_pythia8_cfi',UpgradeFragment(Kby(9,50),'EtaBToJpsiJpsi_14TeV')),
     ('WToLNu_14TeV_TuneCP5_pythia8_cfi',UpgradeFragment(Kby(21,50),'WToLNu_14TeV')),
     ('WprimeToLNu_M2000_14TeV_TuneCP5_pythia8_cfi',UpgradeFragment(Kby(21,50),'WprimeToLNu_M2000_14TeV')),
     ('DoubleMuFlatPt1p5To8_cfi', UpgradeFragment(Kby(9,100),'SingleMuFlatPt1p5To8')),
     ('DoubleElectronFlatPt1p5To8_cfi', UpgradeFragment(Kby(9,100),'SingleElectronFlatPt1p5To8')),
     ('DoubleMuFlatPt1p5To8Dxy100GunProducer_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuPt1p5To8Dxy100')),
     ('DoubleMuFlatPt2To100Dxy100GunProducer_cfi', UpgradeFragment(Kby(9,100),'DisplacedMuPt2To100Dxy100')),
     ('BuToJPsiPrimeKToJPsiPiPiK_14TeV_TuneCP5_pythia8_cfi', UpgradeFragment(Kby(223,2222),'BuToJPsiPrimeKToJPsiPiPiK_14TeV')), # 5.7%
     ('Psi2SToJPsiPiPi_14TeV_TuneCP5_pythia8_cfi', UpgradeFragment(Kby(45,500),'Psi2SToJPsiPiPi_14TeV')), # 24.6%
     ('XiMinus_13p6TeV_SoftQCDInel_TuneCP5_cfi', UpgradeFragment(Kby(8000,90000),'XiMinus_13p6TeV')), #2%
     ('Chib1PToUpsilon1SGamma_MuFilter_TuneCP5_14TeV-pythia8_evtgen_cfi', UpgradeFragment(Kby(3600,36000),'Chib1PToUpsilon1SGamma_14TeV')), #2.8%
     ('ChicToJpsiGamma_MuFilter_TuneCP5_14TeV_pythia8_evtgen_cfi', UpgradeFragment(Kby(2000,20000),'ChicToJpsiGamma_14TeV')), #5%
 ])

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