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from Configuration.PyReleaseValidation.relval_steps import *
import math
class WFN:
# a simple class to number workflows dynamically
def __init__(self, offset):
self.offset = offset
self.index = 0
self.subindex = 1
def __call__(self):
if self.subindex == 100:
print("this is not going to work nicely")
self.subindex = 0 / 0
r = float(f'{self.offset}.{self.index}{self.subindex:02d}')
self.subindex += 1
return r
def next(self, index=None):
if index is None:
self.index += 1
else:
# manually set the index if given
assert index > self.index
self.index = index
self.subindex = 1
def subnext(self):
# go to the next tenth for the subindex 10 because of 02d formating
self.subindex = math.ceil(self.subindex / 10.) * 10 + 1
workflows = Matrix()
_NANO_data = merge([{'-s': 'NANO,DQM:@nanoAODDQM',
'--process': 'NANO',
'--data': '',
'--eventcontent': 'NANOAOD,DQM',
'--datatier': 'NANOAOD,DQMIO',
'-n': '10000',
'--customise': '"Configuration/DataProcessing/Utils.addMonitoring"'
}])
_HARVEST_nano = merge([{'-s': 'HARVESTING:@nanoAODDQM',
'--filetype': 'DQM',
'--filein': 'file:step2_inDQM.root',
'--conditions': 'auto:run2_data' # this is fake for harvesting
}])
_HARVEST_data = merge([_HARVEST_nano, {'--data': ''}])
run2_lumis = {277168: [[1, 1708]],
277194: [[913, 913], [916, 916], [919, 919], [932, 932], [939, 939]],
283877: [[1, 1496]],
299649: [[155, 332]],
303885: [[60, 2052]],
305040: [[200, 700]],
305050: [[200, 700]],
305234: [[1, 200]],
305377: [[1, 500]],
315489: [[1, 100]],
320822: [[1, 200]],
}
run3_lumis = {}
_NANO_mc = merge([{'-s': 'NANO,DQM:@nanoAODDQM',
'--process': 'NANO',
'--mc': '',
'--eventcontent': 'NANOAODSIM,DQM',
'--datatier': 'NANOAODSIM,DQMIO',
'-n': '10000',
'--customise': '"Configuration/DataProcessing/Utils.addMonitoring"'
}])
_HARVEST_mc = merge([_HARVEST_nano, {'--mc': ''}])
steps['HRV_NANO_mc'] = _HARVEST_mc
steps['HRV_NANO_data'] = _HARVEST_data
################################################################
# 10.6 INPUT and workflows
steps['TTbarMINIAOD10.6_UL16v2'] = {'INPUT': InputInfo(
location='STD', dataSet='/TTJets_SingleLeptFromT_TuneCP5_13TeV-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM')}
steps['NANO_mc10.6ul16v2'] = merge([{'--era': 'Run2_2016,run2_nanoAOD_106Xv2',
'--conditions': 'auto:run2_mc'},
_NANO_mc])
# 2017 looking Monte-Carlo: two versions in 10.6
steps['TTbarMINIAOD10.6_UL17v2'] = {'INPUT': InputInfo(
location='STD', dataSet='/TTJets_SingleLeptFromT_TuneCP5_13TeV-madgraphMLM-pythia8/RunIISummer20UL17MiniAODv2-106X_mc2017_realistic_v9-v2/MINIAODSIM')}
steps['NANO_mc10.6ul17v2'] = merge([{'--era': 'Run2_2017,run2_nanoAOD_106Xv2',
'--conditions': 'auto:phase1_2017_realistic'},
_NANO_mc])
steps['TTbarMINIAOD10.6_UL18v2'] = {'INPUT': InputInfo(
location='STD', dataSet='/TTJets_SingleLeptFromT_TuneCP5_13TeV-madgraphMLM-pythia8/RunIISummer20UL18MiniAODv2-106X_upgrade2018_realistic_v16_L1v1-v2/MINIAODSIM')}
steps['NANO_mc10.6ul18v2'] = merge([{'--era': 'Run2_2018,run2_nanoAOD_106Xv2',
'--conditions': 'auto:phase1_2018_realistic'},
_NANO_mc])
# HIPM_UL2016_MiniAODv2 campaign is CMSSW_10_6_25
steps['MuonEG2016MINIAOD10.6v2'] = {'INPUT': InputInfo(location='STD', ls=run2_lumis,
dataSet='/MuonEG/Run2016E-HIPM_UL2016_MiniAODv2-v2/MINIAOD')}
steps['NANO_data10.6ul16v2'] = merge([{'--era': 'Run2_2016_HIPM,run2_nanoAOD_106Xv2',
'--conditions': 'auto:run2_data'},
_NANO_data])
# UL2017_MiniAODv2 campaign is CMSSW_10_6_20
steps['MuonEG2017MINIAOD10.6v2'] = {'INPUT': InputInfo(location='STD', ls=run2_lumis,
dataSet='/MuonEG/Run2017F-UL2017_MiniAODv2-v1/MINIAOD')}
steps['NANO_data10.6ul17v2'] = merge([{'--era': 'Run2_2017,run2_nanoAOD_106Xv2',
'--conditions': 'auto:run2_data'},
_NANO_data])
# UL2018_MiniAODv2 campaign is CMSSW_10_6_20
steps['MuonEG2018MINIAOD10.6v2'] = {'INPUT': InputInfo(location='STD', ls=run2_lumis,
dataSet='/MuonEG/Run2018D-UL2018_MiniAODv2-v1/MINIAOD')}
steps['NANO_data10.6ul18v2'] = merge([{'--era': 'Run2_2018,run2_nanoAOD_106Xv2',
'--conditions': 'auto:run2_data'},
_NANO_data])
################################################################
# Run2UL re-MINI/NANO
steps['NANO_mc_UL16APVreMINI'] = merge([{'--era': 'Run2_2016_HIPM',
'--conditions': 'auto:run2_mc_pre_vfp'},
_NANO_mc])
steps['NANO_mc_UL16reMINI'] = merge([{'--era': 'Run2_2016',
'--conditions': 'auto:run2_mc'},
_NANO_mc])
steps['NANO_mc_UL17reMINI'] = merge([{'--era': 'Run2_2017',
'--conditions': 'auto:phase1_2017_realistic'},
_NANO_mc])
steps['NANO_mc_UL18reMINI'] = merge([{'--era': 'Run2_2018',
'--conditions': 'auto:phase1_2018_realistic'},
_NANO_mc])
steps['NANO_data_UL16APVreMINI'] = merge([{'--era': 'Run2_2016_HIPM',
'--conditions': 'auto:run2_data'},
_NANO_data])
steps['NANO_data_UL16reMINI'] = merge([{'--era': 'Run2_2016',
'--conditions': 'auto:run2_data'},
_NANO_data])
steps['NANO_data_UL17reMINI'] = merge([{'--era': 'Run2_2017',
'--conditions': 'auto:run2_data'},
_NANO_data])
steps['NANO_data_UL18reMINI'] = merge([{'--era': 'Run2_2018',
'--conditions': 'auto:run2_data'},
_NANO_data])
################################################################
# 13.0 workflows
steps['TTbarMINIAOD13.0'] = {'INPUT': InputInfo(
location='STD', dataSet='/TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23MiniAODv4-130X_mcRun3_2023_realistic_v14-v2/MINIAODSIM')}
steps['NANO_mc13.0'] = merge([{'--era': 'Run3,run3_nanoAOD_pre142X', '--conditions': 'auto:phase1_2023_realistic'},
_NANO_mc])
# 13.0 workflows -- data
steps['MuonEG2023MINIAOD13.0'] = {'INPUT': InputInfo(location='STD', ls={368489: [[46, 546]]},
dataSet='/MuonEG/Run2023C-22Sep2023_v4-v1/MINIAOD')}
steps['ScoutingPFRun32022RAW13.0'] = {'INPUT': InputInfo(
dataSet='/ScoutingPFRun3/Run2022D-v1/RAW', label='2022D', events=100000, location='STD', ls=Run2022D)}
steps['NANO_data13.0'] = merge([{'--era': 'Run3,run3_nanoAOD_pre142X', '--conditions': 'auto:run3_data'},
_NANO_data])
steps['NANO_data13.0_prompt'] = merge([{'-s': 'NANO:@Prompt,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_data13.0']])
steps['scoutingNANO_data13.0'] = merge([{'-s': 'NANO:@Scout'},
steps['NANO_data13.0']])
################################################################
# current release cycle workflows : 14.0
steps['TTbarMINIAOD14.0'] = {'INPUT': InputInfo(
location='STD', dataSet='/RelValTTbar_14TeV/CMSSW_14_0_0-PU_140X_mcRun3_2024_realistic_v3_STD_2024_PU-v2/MINIAODSIM')}
steps['NANO_mc14.0'] = merge([{'--era': 'Run3,run3_nanoAOD_pre142X', '--conditions': 'auto:phase1_2024_realistic'},
_NANO_mc])
steps['muPOGNANO_mc14.0'] = merge([{'-s': 'NANO:@MUPOG,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_mc14.0']])
steps['EGMNANO_mc14.0'] = merge([{'-s': 'NANO:@EGM,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_mc14.0']])
steps['BTVNANO_mc14.0'] = merge([{'-s': 'NANO:@BTV', '-n': '1000'},
steps['NANO_mc14.0']])
steps['lepTrackInfoNANO_mc14.0'] = merge([{'-s': 'NANO:@LepTrackInfo,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_mc14.0']])
steps['jmeNANO_mc14.0'] = merge([{'-s': 'NANO:@JME ', '-n': '1000'},
steps['NANO_mc14.0']])
steps['jmeNANO_rePuppi_mc14.0'] = merge([{'-s': 'NANO:@JMErePuppi ', '-n': '1000'},
steps['NANO_mc14.0']])
steps['scoutingNANO_mc14.0'] = merge([{'-s': 'NANO:@Scout'},
steps['NANO_mc14.0']])
steps['scoutingNANO_withPrompt_mc14.0'] = merge([{'-s': 'NANO:@Prompt+@Scout'},
steps['NANO_mc14.0']])
steps['SinglePionRAW14.0'] = {'INPUT': InputInfo(
location='STD', dataSet='/SinglePion_E-50_Eta-0to3-pythia8-gun/Run3Winter25Digi-NoPU_142X_mcRun3_2025BOY_realistic_Candidate_2024_11_13_17_21_33-v2/GEN-SIM-RAW')}
steps['hcalDPGNANO_mc14.0'] = merge([{'-s': 'RAW2DIGI,RECO,NANO:@HCALMC', '-n': '100',
'--processName': 'NANO'},
steps['NANO_mc14.0']])
# 14.0 workflows -- data
lumis_Run2024D = {380306: [[28, 273]]}
steps['MuonEG2024MINIAOD14.0'] = {'INPUT': InputInfo(location='STD', ls=lumis_Run2024D,
dataSet='/MuonEG/Run2024D-PromptReco-v1/MINIAOD')}
steps['ScoutingPFRun32024RAW14.0'] = {'INPUT': InputInfo(location='STD', ls=lumis_Run2024D,
dataSet='/ScoutingPFRun3/Run2024D-v1/HLTSCOUT')}
steps['ScoutingPFMonitor2024MINIAOD14.0'] = {'INPUT': InputInfo(location='STD', ls=lumis_Run2024D,
dataSet='/ScoutingPFMonitor/Run2024D-PromptReco-v1/MINIAOD')}
steps['ZMuSkim2024RAWRECO14.0'] = {'INPUT': InputInfo(location='STD', ls=lumis_Run2024D,
dataSet='/Muon0/Run2024D-ZMu-PromptReco-v1/RAW-RECO')}
steps['ZeroBias2024RAW14.0'] = {'INPUT': InputInfo(location='STD', ls=lumis_Run2024D,
dataSet='/ZeroBias/Run2024D-v1/RAW')}
steps['TestEnablesEcalHcal2024RAW14.0'] = {'INPUT': InputInfo(location='STD', ls={383173: [[151, 162]]},
dataSet='/TestEnablesEcalHcal/Run2024F-Express-v1/RAW')}
steps['NANO_data14.0'] = merge([{'--era': 'Run3_2024,run3_nanoAOD_pre142X', '--conditions': 'auto:run3_data_prompt'},
_NANO_data])
steps['NANO_data14.0_prompt'] = merge([{'-s': 'NANO:@Prompt,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_data14.0']])
steps['muPOGNANO_data14.0'] = merge([{'-s': 'NANO:@MUPOG,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_data14.0']])
steps['EGMNANO_data14.0'] = merge([{'-s': 'NANO:@EGM,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_data14.0']])
steps['BTVNANO_data14.0'] = merge([{'-s': 'NANO:@BTV', '-n': '1000'},
steps['NANO_data14.0']])
steps['lepTrackInfoNANO_data14.0'] = merge([{'-s': 'NANO:@LepTrackInfo,DQM:@nanoAODDQM', '-n': '1000'},
steps['NANO_data14.0']])
steps['jmeNANO_data14.0'] = merge([{'-s': 'NANO:@JME', '-n': '1000'},
steps['NANO_data14.0']])
steps['jmeNANO_rePuppi_data14.0'] = merge([{'-s': 'NANO:@JMErePuppi', '-n': '1000'},
steps['NANO_data14.0']])
steps['scoutingNANO_data14.0'] = merge([{'-s': 'NANO:@Scout'},
steps['NANO_data14.0']])
steps['scoutingNANO_withPrompt_data14.0'] = merge([{'-s': 'NANO:@Prompt+@ScoutMonitor'},
steps['NANO_data14.0']])
# DPG custom NANO
steps['muDPGNANO_data14.0'] = merge([{'-s': 'RAW2DIGI,NANO:@MUDPG', '-n': '100'},
steps['NANO_data14.0']])
steps['muDPGNANOBkg_data14.0'] = merge([{'-s': 'RAW2DIGI,NANO:@MUDPGBKG', '-n': '100'},
steps['NANO_data14.0']])
steps['hcalDPGNANO_data14.0'] = merge([{'-s': 'RAW2DIGI,RECO,NANO:@HCAL', '-n': '100',
'--processName': 'NANO'},
steps['NANO_data14.0']])
steps['hcalDPGCalibNANO_data14.0'] = merge([{'-s': 'RAW2DIGI,RECO,NANO:@HCALCalib', '-n': '100',
'--processName': 'NANO'},
steps['NANO_data14.0']])
steps['l1DPGNANO_data14.0'] = merge([{'-s': 'RAW2DIGI,NANO:@L1DPG', '-n': '100'},
steps['NANO_data14.0']])
################################################################
# Run3 re-MINI/NANOv15 in 15.0
steps['TTbar_13p6_Summer24_AOD'] = {'INPUT': InputInfo(
location='STD', dataSet='/TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/RunIII2024Summer24DRPremix-140X_mcRun3_2024_realistic_v26-v2/AODSIM')}
steps['JetMET1_Run2024H_AOD'] = {'INPUT': InputInfo(
location='STD', ls={385836: [[72, 166]]}, dataSet='/JetMET1/Run2024H-PromptReco-v1/AOD')}
steps['NANO_mc_Summer24_reMINI'] = merge([{'--era': 'Run3', '--conditions': 'auto:phase1_2024_realistic'}, _NANO_mc])
steps['NANO_data_2024_reMINI'] = merge([{'--era': 'Run3_2024', '--conditions': 'auto:run3_data'}, _NANO_data])
################################################################
# NANOGEN
steps['NANOGENFromGen'] = merge([{'-s': 'NANO:@GEN,DQM:@nanogenDQM',
'-n': 1000,
'--conditions': 'auto:run2_mc'},
_NANO_mc])
steps['NANOGENFromMini'] = merge([{'-s': 'NANO:@GENFromMini,DQM:@nanogenDQM',
'-n': 1000,
'--conditions': 'auto:run2_mc'},
_NANO_mc])
################################################################
_wfn = WFN(2500)
######## 2500.0xx ########
# Run2, 10_6_X MiniAOD input (current recommendation for 2016--2018)
workflows[_wfn()] = ['NANOmc106Xul16v2', ['TTbarMINIAOD10.6_UL16v2', 'NANO_mc10.6ul16v2', 'HRV_NANO_mc']]
workflows[_wfn()] = ['NANOmc106Xul17v2', ['TTbarMINIAOD10.6_UL17v2', 'NANO_mc10.6ul17v2', 'HRV_NANO_mc']]
workflows[_wfn()] = ['NANOmc106Xul18v2', ['TTbarMINIAOD10.6_UL18v2', 'NANO_mc10.6ul18v2', 'HRV_NANO_mc']]
_wfn.subnext()
workflows[_wfn()] = ['NANOdata106Xul16v2', ['MuonEG2016MINIAOD10.6v2', 'NANO_data10.6ul16v2', 'HRV_NANO_data']]
workflows[_wfn()] = ['NANOdata106Xul17v2', ['MuonEG2017MINIAOD10.6v2', 'NANO_data10.6ul17v2', 'HRV_NANO_data']]
workflows[_wfn()] = ['NANOdata106Xul18v2', ['MuonEG2018MINIAOD10.6v2', 'NANO_data10.6ul18v2', 'HRV_NANO_data']]
# Run2, 10_6_X AOD, reMINI+reNANO
_wfn.subnext()
workflows[_wfn()] = ['NANOmcUL16APVreMINI', ['TTbar_13_reminiaod2016UL_preVFP_INPUT', 'REMINIAOD_mc2016UL_preVFP', 'NANO_mc_UL16APVreMINI', 'HRV_NANO_mc']] # noqa
workflows[_wfn()] = ['NANOmcUL16reMINI', ['TTbar_13_reminiaod2016UL_postVFP_INPUT', 'REMINIAOD_mc2016UL_postVFP', 'NANO_mc_UL16reMINI', 'HRV_NANO_mc']] # noqa
workflows[_wfn()] = ['NANOmcUL17reMINI', ['TTbar_13_reminiaod2017UL_INPUT', 'REMINIAOD_mc2017UL', 'NANO_mc_UL17reMINI', 'HRV_NANO_mc']] # noqa
workflows[_wfn()] = ['NANOmcUL18reMINI', ['TTbar_13_reminiaod2018UL_INPUT', 'REMINIAOD_mc2018UL', 'NANO_mc_UL18reMINI', 'HRV_NANO_mc']] # noqa
_wfn.subnext()
workflows[_wfn()] = ['NANOdataUL16APVreMINI', ['RunJetHT2016E_reminiaodUL', 'REMINIAOD_data2016UL_HIPM', 'NANO_data_UL16APVreMINI', 'HRV_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL16reMINI', ['RunJetHT2016H_reminiaodUL', 'REMINIAOD_data2016UL', 'NANO_data_UL16reMINI', 'HRV_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL17reMINI', ['RunJetHT2017F_reminiaodUL', 'REMINIAOD_data2017UL', 'NANO_data_UL17reMINI', 'HRV_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL18reMINI', ['RunJetHT2018D_reminiaodUL', 'REMINIAOD_data2018UL', 'NANO_data_UL18reMINI', 'HRV_NANO_data']] # noqa
_wfn.next(1)
######## 2500.1xx ########
# Run3, 13_0_X input (current recommendation for 2022--2023)
workflows[_wfn()] = ['NANOmc130X', ['TTbarMINIAOD13.0', 'NANO_mc13.0', 'HRV_NANO_mc']]
_wfn.subnext()
workflows[_wfn()] = ['NANOdata130Xrun3', ['MuonEG2023MINIAOD13.0', 'NANO_data13.0', 'HRV_NANO_data']]
workflows[_wfn()] = ['NANOdata130Xrun3', ['MuonEG2023MINIAOD13.0', 'NANO_data13.0_prompt', 'HRV_NANO_data']]
# POG/PAG custom NANOs, MC
_wfn.subnext()
# POG/PAG custom NANOs, data
_wfn.subnext()
workflows[_wfn()] = ['ScoutingNANOdata130Xrun3', ['ScoutingPFRun32022RAW13.0', 'scoutingNANO_data13.0']]
# DPG custom NANOs, data
_wfn.subnext()
_wfn.next(2)
######## 2500.2xx ########
# Run3, 14_0_X input
workflows[_wfn()] = ['NANOmc140X', ['TTbarMINIAOD14.0', 'NANO_mc14.0', 'HRV_NANO_mc']]
_wfn.subnext()
workflows[_wfn()] = ['NANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'NANO_data14.0', 'HRV_NANO_data']]
workflows[_wfn()] = ['NANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'NANO_data14.0_prompt', 'HRV_NANO_data']]
# POG/PAG custom NANOs, MC
_wfn.subnext()
workflows[_wfn()] = ['muPOGNANOmc140X', ['TTbarMINIAOD14.0', 'muPOGNANO_mc14.0']]
workflows[_wfn()] = ['EGMNANOmc140X', ['TTbarMINIAOD14.0', 'EGMNANO_mc14.0']]
workflows[_wfn()] = ['BTVNANOmc140X', ['TTbarMINIAOD14.0', 'BTVNANO_mc14.0']]
workflows[_wfn()] = ['jmeNANOmc140X', ['TTbarMINIAOD14.0', 'jmeNANO_mc14.0']]
workflows[_wfn()] = ['jmeNANOrePuppimc140X', ['TTbarMINIAOD14.0', 'jmeNANO_rePuppi_mc14.0']]
workflows[_wfn()] = ['lepTrackInfoNANOmc140X', ['TTbarMINIAOD14.0', 'lepTrackInfoNANO_mc14.0']]
workflows[_wfn()] = ['ScoutingNANOmc140X', ['TTbarMINIAOD14.0', 'scoutingNANO_mc14.0']]
workflows[_wfn()] = ['ScoutingNANOwithPromptmc140X', ['TTbarMINIAOD14.0', 'scoutingNANO_withPrompt_mc14.0']]
# POG/PAG custom NANOs, data
_wfn.subnext()
workflows[_wfn()] = ['muPOGNANO140Xrun3', ['MuonEG2024MINIAOD14.0', 'muPOGNANO_data14.0']]
workflows[_wfn()] = ['EGMNANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'EGMNANO_data14.0']]
workflows[_wfn()] = ['BTVNANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'BTVNANO_data14.0']]
workflows[_wfn()] = ['jmeNANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'jmeNANO_data14.0']]
workflows[_wfn()] = ['jmeNANOrePuppidata140Xrun3', ['MuonEG2024MINIAOD14.0', 'jmeNANO_rePuppi_data14.0']]
workflows[_wfn()] = ['lepTrackInfoNANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'lepTrackInfoNANO_data14.0']]
workflows[_wfn()] = ['ScoutingNANOdata140Xrun3', ['ScoutingPFRun32024RAW14.0', 'scoutingNANO_data14.0']]
workflows[_wfn()] = ['ScoutingNANOwithPromptdata140Xrun3', ['ScoutingPFMonitor2024MINIAOD14.0', 'scoutingNANO_withPrompt_data14.0']]
# DPG custom NANOs, data
_wfn.subnext()
workflows[_wfn()] = ['l1DPGNANO140Xrun3', ['ZMuSkim2024RAWRECO14.0', 'l1DPGNANO_data14.0']]
workflows[_wfn()] = ['muDPGNANO140Xrun3', ['ZMuSkim2024RAWRECO14.0', 'muDPGNANO_data14.0']]
workflows[_wfn()] = ['muDPGNANOBkg140Xrun3', ['ZeroBias2024RAW14.0', 'muDPGNANOBkg_data14.0']]
workflows[_wfn()] = ['hcalDPGNANO140Xrun3', ['ZeroBias2024RAW14.0', 'hcalDPGNANO_data14.0']]
workflows[_wfn()] = ['hcalDPGCalibNANO140Xrun3', ['TestEnablesEcalHcal2024RAW14.0', 'hcalDPGCalibNANO_data14.0']]
# DPG custom NANOs, MC
_wfn.subnext()
workflows[_wfn()] = ['hcalDPGMCNANO140Xrun3', ['SinglePionRAW14.0', 'hcalDPGNANO_mc14.0']]
# The above HCAL workflow is actually using data produced for 14.2
# but I keep the 14.0 label for now since it's consistent with those ones
# let me know if I should change this
_wfn.next(3)
######## 2500.3xx ########
# Run3 re-MINI/NANOv15 in 15_0_X
workflows[_wfn()] = ['NANOmc2024reMINI', ['TTbar_13p6_Summer24_AOD', 'REMINIAOD_mc2024', 'NANO_mc_Summer24_reMINI', 'HRV_NANO_mc']] # noqa
_wfn.subnext()
workflows[_wfn()] = ['NANOdata2024reMINI', ['JetMET1_Run2024H_AOD', 'REMINIAOD_data2024', 'NANO_data_2024_reMINI', 'HRV_NANO_data']] # noqa
_wfn.next(9)
######## 2500.9xx ########
# NANOGEN
workflows[_wfn()] = ['', ['TTbarMINIAOD10.6_UL18v2', 'NANOGENFromMini']]
workflows[_wfn()] = ['', ['TTbarMINIAOD14.0', 'NANOGENFromMini']]
_wfn.subnext()
workflows[_wfn()] = ['', ['DYToLL_M-50_13TeV_pythia8', 'NANOGENFromGen']]
workflows[_wfn()] = ['', ['DYToll01234Jets_5f_LO_MLM_Madgraph_LHE_13TeV',
'Hadronizer_TuneCP5_13TeV_MLM_5f_max4j_LHE_pythia8', 'NANOGENFromGen']]
workflows[_wfn()] = ['', ['TTbar_Pow_LHE_13TeV', 'Hadronizer_TuneCP5_13TeV_powhegEmissionVeto2p_pythia8', 'NANOGENFromGen']]
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