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ftenchini merged 1 commit into from
Jun 5, 2026
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Remove Run 1-3 and disable Phase 2 RelVal workflows that read existing non-RAW files #50954

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62 changes: 26 additions & 36 deletions Configuration/PyReleaseValidation/python/relval_2017.py
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Expand Up @@ -13,65 +13,58 @@

#WFs to run in IB:
# 2017 (ele guns 10, 35, 1000; pho guns 10, 35; mu guns 1, 10, 100, 1000, QCD 3TeV, QCD Flat)
# (ZMM, TTbar, ZEE, MinBias, TTbar PU, ZEE PU, TTbar design)
# (ZMM, TTbar, ZEE, MinBias, TTbar design)
# (TTbar trackingOnly, trackingRun2, trackingOnlyRun2, trackingLowPU, pixelTrackingOnly)
# (TTbar PU with JME NanoAOD)
# 2018 (ele guns 10, 35, 1000; pho guns 10, 35; mu guns 1, 10, 100, 1000, QCD 3TeV, QCD Flat)
# (pho guns 10, 35 with photonDRN enabled)
# 2018 (ZMM, TTbar, ZEE, MinBias, TTbar PU, ZEE PU, TTbar design)
# 2018 (ZMM, TTbar, ZEE, MinBias, TTbar design)
# (TTbar trackingOnly, pixelTrackingOnly)
# (HE collapse: TTbar, TTbar PU, TTbar design)
# (HE collapse: TTbar, TTbar design)
# (ParkingBPH: TTbar)
# (TTbar PU with JME NanoAOD)
# (Patatrack pixel-only: ZMM - on CPU: quadruplets, triplets)
# (Patatrack pixel-only: TTbar - on CPU: quadruplets, triplets)
# (Patatrack ECAL-only: TTbar - on CPU)
# (Patatrack HCAL-only: TTbar - on CPU)
# 2021 (DD4hep XML: TTbar, ZMM)
# (DDD DB: TTbar, ZMM)
# (ele guns 10, 35, 1000; pho guns 10, 35; mu guns 1, 10, 100, 1000, QCD 3TeV, QCD Flat)
# (ZMM, TTbar, ZEE, MinBias, TTbar PU, TTbar PU premix, ZEE PU, TTbar design)
# (ZMM, TTbar, ZEE, MinBias, TTbar design)
# (TTbar trackingOnly, pixelTrackingOnly, trackingMkFit, trackdnn)
# (TTbar with JME NanoAOD)
# (TTbar 0T, TTbar PU 0T)
# (TTbar FastSim, TTbar FastSim PU, MinBiasFS for mixing)
# (TTbar PU MLPF ecal_deepsc)
# (ZEE ecal_deesc)
# (TTbar PU prod-like)
# (TTbar 0T)
# (TTbar FastSim)
# (QCD 1.8TeV DeepCore)
# (TTbar DigiNoHLT)
# 2023 (TTbar, TTbar PU, TTbar PU premix, TTbar PU prod-like)
# 2023 (TTbar)
# (TTbar trackingMkFit)
# (Patatrack pixel-only: TTbar - on CPU: quadruplets, triplets)
# (Patatrack ECAL-only: TTbar - on CPU)
# (Patatrack HCAL-only: TTbar - on CPU)
# (Patatrack pixel-only: ZMM - on CPU: quadruplets, triplets)
# (TTbar FastSim, TTbar FastSim PU, MinBiasFS for mixing))
# (TTbar FastSim)
# (ZEE)
# (Nu Gun)
# 2024 (TTbar, TTbar PU, TTbar PU premix, TTbar PU prod-like)
# 2024 (TTbar)
# (TTbar trackingMkFit)
# (Alpaka Pixel Only, Alpaka ECal only)
# (TTbar FastSim, TTbar FastSim PU, MinBiasFS for mixing)
# (TTbar FastSim)
# (ZEE)
# (Nu Gun)
# 2025 (TTbar, TTbar PU, TTbar PU prod-like)
# (TTbar FastSim, TTbar FastSim PU, MinBiasFS for mixing)
# 2025 (TTbar)
# (TTbar FastSim)
# (TTbar hybrid PU)
# 2026 (TTbar, TTbar PU, TTbar PU prod-like)
# 2026 (TTbar)

numWFIB = [10001.0,10002.0,10003.0,10004.0,10005.0,10006.0,10007.0,10008.0,10009.0,10059.0,10071.0,
10042.0,10024.0,10025.0,10026.0,10023.0,10224.0,10225.0,10424.0,
10042.0,10024.0,10025.0,10424.0,
10024.1,10024.2,10024.3,10024.4,10024.5,
10224.15,
# 2018
10801.0,10802.0,10803.0,10804.0,10805.0,10806.0,10807.0,10808.0,10809.0,10859.0,10871.0,
10804.31, 10805.31,
10842.0,10824.0,10825.0,10826.0,10823.0,11024.0,11025.0,11224.0,
10842.0,10824.0,10825.0,10826.0,10823.0,11224.0,
10824.1,10824.5,
10824.6,11024.6,11224.6,
10824.6,11224.6,
10824.8,
11024.15,
10842.501,10842.505,
10824.501,10824.505,
10824.511,
Expand All @@ -80,39 +73,36 @@
11634.911, 11650.911,
11634.914, 11650.914,
11601.0,11602.0,11603.0,11604.0,11605.0,11606.0,11607.0,11608.0,11609.0,11630.0,11643.0,
11650.0,11634.0,11646.0,11640.0,11834.0,11834.99,11846.0,12034.0,
11650.0,11634.0,11646.0,11640.0,12034.0,
11634.1,11634.5,11634.7,11634.71,11634.72,11634.91,
11634.15,
11634.24,11834.24,
13234.0,13434.0,13240.303,
11834.13, 11834.19,
11846.19,
11834.21,
11634.24,
13234.0,
11723.17,
11634.601,
# 2023
12434.0,12634.0,12634.99,12634.21,
12434.0,
12434.7,
12434.501,12434.505,
12434.511,
12434.521,
12450.501,12450.505,
14034.0,14234.0,14040.303,
14034.0,
12446.0,
12461.0,
# 2024
12834.0,13034.0,13034.99,13034.21,
12834.0,
12834.7,
12834.402, 12834.412,
16434.0, 16634.0, 16440.303,
16434.0,
12846.0,
12861.0,
# 2025
16834.0, 17034.0, 17034.21,
18034.0, 18234.0, 18040.303,
16834.0,
18034.0,
17034.96,
# 2026
18434.0, 18634.0, 18634.21,
18434.0,
]

for numWF in numWFIB:
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14 changes: 7 additions & 7 deletions Configuration/PyReleaseValidation/python/relval_Run4.py
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Expand Up @@ -49,13 +49,13 @@
numWFIB.extend([prefixDet+34.75]) #Timing menu
numWFIB.extend([prefixDet+151.85]) #Heavy ion reconstruction
#Default Phase-2 Det PU
numWFIB.extend([prefixDet+261.97]) #premixing stage1 (NuGun+PU)
numWFIB.extend([prefixDet+234.99]) #premixing combined stage1+stage2 ttbar+PU200
numWFIB.extend([prefixDet+234.999]) #premixing combined stage1+stage2 ttbar+PU50 for PR test
numWFIB.extend([prefixDet+234.21]) #prodlike PU
numWFIB.extend([prefixDet+234.9921]) #prodlike premix stage1+stage2
numWFIB.extend([prefixDet+234.114]) #PU, with 10% OT inefficiency
numWFIB.extend([prefixDet+234.711]) #LST tracking on CPU (initialStep+HighPtTripletStep only)
#numWFIB.extend([prefixDet+261.97]) #premixing stage1 (NuGun+PU) COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.99]) #premixing combined stage1+stage2 ttbar+PU200 COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.999]) #premixing combined stage1+stage2 ttbar+PU50 for PR test COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.21]) #prodlike PU COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.9921]) #prodlike premix stage1+stage2 COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.114]) #PU, with 10% OT inefficiency COMMENT: reads old format file
#numWFIB.extend([prefixDet+234.711]) #LST tracking on CPU (initialStep+HighPtTripletStep only) COMMENT: reads old format file

# Phase-2 HLT tests
numWFIB.extend([prefixDet+34.7501]) # HLTTrackingOnly75e33
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5 changes: 0 additions & 5 deletions Configuration/PyReleaseValidation/python/relval_ged.py
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Expand Up @@ -7,14 +7,9 @@
workflows = Matrix()

workflows[4000] = ['', ['TTbar','DIGI','RECODBG']]
workflows[4001] = ['', ['TTbar','DIGIPU1','RECOPUDBG']]

workflows[4002] = ['', ['ZEE','DIGI','RECO']]
workflows[4003] = ['', ['ZMM','DIGI','RECO']]

#workflows[4004] = ['QCD_FlatPt_15_3000', ['QCD_FlatPt_15_3000HS','DIGI','RECO']]
#workflows[4005] = ['QCD_FlatPt_15_3000', ['QCD_FlatPt_15_3000HS','DIGIPU1','RECOPU1']]

workflows[4006] = ['', ['SingleElectronFlatPt1To100','DIGIPU1','RECOPU1']]
workflows[4007] = ['',['QCD_Pt_30_80_BCtoE_8TeV','DIGIPU1','RECOPUDBG']]
workflows[4008] = ['',['QCD_Pt_80_170_BCtoE_8TeV','DIGIPU1','RECOPUDBG']]
4 changes: 0 additions & 4 deletions Configuration/PyReleaseValidation/python/relval_highstats.py
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Expand Up @@ -78,10 +78,6 @@
workflows[139901] = ['', ['ZMM_13_HS','DIGIUP15','RECOUP15','HARVESTUP15']]
workflows[139902] = ['', ['TTbar_13_HS','DIGIUP15','RECOUP15','HARVESTUP15']]

## 13 TeV Run2 fullSim PU 25ns
workflows[13992501]=['',['ZMM_13_HS','DIGIUP15_PU25HS','RECOUP15_PU25HS','HARVESTUP15_PU25']]
workflows[13992502]=['',['TTbar_13_HS','DIGIUP15_PU25HS','RECOUP15_PU25HS','HARVESTUP15_PU25']]


## 2015HighLumi run High stats
workflows[134.99601] = ['',['RunJetHT2015HLHS','HLTDR2_25ns','RECODR2_25nsreHLT_HIPM','HARVESTDR2']]
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6 changes: 0 additions & 6 deletions Configuration/PyReleaseValidation/python/relval_identity.py
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Expand Up @@ -11,9 +11,3 @@
# the name of step1 will be used

workflows[50000] = ['',['RunMinBias2012C','HLTD','RECODreHLT']]

workflows[50001] = ['SingleMuPt10_UP15ID', ['SingleMuPt10_UP15IDINPUT','SingleMuPt10_UP15_ID','DIGIUP15_ID','RECOUP15_ID','HARVESTUP15']]
workflows[50002] = ['TTbar_13_ID', ['TTbar_13IDINPUT','TTbar_13_ID','DIGIUP15_ID','RECOUP15_ID','HARVESTUP15']]

workflows[50101] = ['SingleMuPt10_UP15ID', ['SingleMuPt10_UP15FSIDINPUT','SingleMuPt10FS_UP15_ID','HARVESTUP15FS']]
workflows[50102] = ['TTbar_13_ID', ['TTbar_13FSIDINPUT','TTbarFS_13_ID','HARVESTUP15FS']]
101 changes: 20 additions & 81 deletions Configuration/PyReleaseValidation/python/relval_nano.py
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Expand Up @@ -521,53 +521,20 @@ def next(self, index: int = None) -> None:
_wfn = WFN(2500)
######## 2500.0xxx ########
# 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()] = ['NANOmc106Xul16APVv2', ['TTbarMINIAOD10.6_UL16APVv2', 'NANO_mc10.6ul16APVv2', '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', ['TTbarAOD10.6_UL16APV', 'MINI_mc10.6ul16APV', 'NANO_mc_UL16APVreMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL16reMINI', ['TTbarAOD10.6_UL16', 'MINI_mc10.6ul16', 'NANO_mc_UL16reMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL17reMINI', ['TTbarAOD10.6_UL17', 'MINI_mc10.6ul17', 'NANO_mc_UL17reMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL18reMINI', ['TTbarAOD10.6_UL18', 'MINI_mc10.6ul18', 'NANO_mc_UL18reMINI', 'HRV3_NANO_mc']]

_wfn.subnext()
workflows[_wfn()] = ['NANOdataUL16APVreMINI', ['RunJetHT2016E_reminiaodUL', 'REMINIAOD_data2016UL_HIPM', 'NANO_data_UL16APVreMINI', 'HRV3_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL16reMINI', ['RunJetHT2016H_reminiaodUL', 'REMINIAOD_data2016UL', 'NANO_data_UL16reMINI', 'HRV3_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL17reMINI', ['RunJetHT2017F_reminiaodUL', 'REMINIAOD_data2017UL', 'NANO_data_UL17reMINI', 'HRV3_NANO_data']] # noqa
workflows[_wfn()] = ['NANOdataUL18reMINI', ['RunJetHT2018D_reminiaodUL', 'REMINIAOD_data2018UL', 'NANO_data_UL18reMINI', 'HRV3_NANO_data']] # noqa

_wfn.subnext()
workflows[_wfn()] = ['NANOmcUL16APVMini2Mini', ['TTbarMINIAOD10.6_UL16APVv2', 'M2M_mc10.6ul16APV', 'NANO_mc_UL16APVreMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL16Mini2Mini', ['TTbarMINIAOD10.6_UL16v2', 'M2M_mc10.6ul16', 'NANO_mc_UL16reMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL17Mini2Mini', ['TTbarMINIAOD10.6_UL17v2', 'M2M_mc10.6ul17', 'NANO_mc_UL17reMINI', 'HRV3_NANO_mc']]
workflows[_wfn()] = ['NANOmcUL18Mini2Mini', ['TTbarMINIAOD10.6_UL18v2', 'M2M_mc10.6ul18', 'NANO_mc_UL18reMINI', 'HRV3_NANO_mc']]

_wfn.subnext()
workflows[_wfn()] = ['NANOdataUL16Mini2Mini', ['MuonEG2016MINIAOD10.6v2', 'M2M_data10.6ul16', 'NANO_data_UL16reMINI', 'HRV3_NANO_data']]
workflows[_wfn()] = ['NANOdataUL17Mini2Mini', ['MuonEG2017MINIAOD10.6v2', 'M2M_data10.6ul17', 'NANO_data_UL17reMINI', 'HRV3_NANO_data']]
workflows[_wfn()] = ['NANOdataUL18Mini2Mini', ['MuonEG2018MINIAOD10.6v2', 'M2M_data10.6ul18', 'NANO_data_UL18reMINI', 'HRV3_NANO_data']]

_wfn.next(1)
######## 2500.1xxx ########
# 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']]

_wfn.subnext()
workflows[_wfn()] = ['NANOmc23Mini2Mini', ['TTbarMINIAOD13.0', 'M2M_mc13.0s23', 'NANO_mc_S23reMINI', 'HRV3_NANO_mc']]

_wfn.subnext()
workflows[_wfn()] = ['NANOdata23Mini2Mini', ['MuonEG2023MINIAOD13.0', 'M2M_data13.0', 'NANO_data_23reMINI', 'HRV3_NANO_data']]

# POG/PAG custom NANOs, MC
_wfn.subnext()
Expand All @@ -592,89 +559,63 @@ def next(self, index: int = None) -> None:

# 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']]
_wfn() # 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']]
_wfn()

# 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']]
_wfn()
_wfn()
_wfn()
_wfn()
_wfn() # workflows[_wfn()] = ['jmeNANOrePuppidata140Xrun3', ['MuonEG2024MINIAOD14.0', 'jmeNANO_rePuppi_data14.0']]
workflows[_wfn()] = ['lepTrackInfoNANOdata140Xrun3', ['MuonEG2024MINIAOD14.0', 'lepTrackInfoNANO_data14.0']]
_wfn()
workflows[_wfn()] = ['ScoutingNANOdata140Xrun3', ['ScoutingPFRun32024RAW14.0', 'scoutingNANO_data14.0']]
workflows[_wfn()] = ['ScoutingNANOmonitordata140Xrun3', ['ScoutingPFMonitor2024MINIAOD14.0', 'scoutingNANO_monitor_data14.0']]
workflows[_wfn()] = ['ScoutingNANOmonitorWithPromptdata140Xrun3', ['ScoutingPFMonitor2024MINIAOD14.0', 'scoutingNANO_monitorWithPrompt_data14.0']]
_wfn()
_wfn()
workflows[_wfn()] = ['L1ScoutingNANOdata140Xrun3', ['L1Scouting2024RAW14.0', 'l1ScoutingNANO_data14.0']]
workflows[_wfn()] = ['L1ScoutingSelectionNANOdata140Xrun3', ['L1ScoutingSelection2024RAW14.0', 'l1ScoutingSelectionNANO_data14.0']]

# DPG custom NANOs, data
_wfn.subnext()
workflows[_wfn()] = ['l1DPGNANO140Xrun3', ['ZMuSkim2024RAWRECO14.0', 'l1DPGNANO_data14.0']]
workflows[_wfn()] = ['muDPGNANO140Xrun3', ['ZMuSkim2024RAWRECO14.0', 'muDPGNANO_data14.0']]
_wfn()
_wfn()
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

# MINIv6+NANOv15, MC
_wfn.subnext()
workflows[_wfn()] = ['NANOmc2024reMINI', ['TTbar_13p6_Summer24_AOD_140X', 'REMINIAOD_mc2024', 'NANO_mc_Summer24_reMINI', 'HRV3_NANO_mc']] # noqa

# MINIv6+NANOv15, data
_wfn.subnext()
workflows[_wfn()] = ['NANOdata2024reMINI', ['JetMET1_Run2024H_AOD_140X', 'REMINIAOD_data2024', 'NANO_data_2024_reMINI', 'HRV3_NANO_data']] # noqa

_wfn.next(3)
######## 2500.3xxx ########
# Run3, 15_0_X input (2024 MINIv6+NANOv15 & 2025 data-taking)
# Standard NANO, MC
workflows[_wfn()] = ['NANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'NANO_mc15.0', 'HRV_NANO_mc']]

# Standard NANO, data
_wfn.subnext()
workflows[_wfn()] = ['NANOdata150X', ['JetMET1_Run2025C_MINIAOD_150X', 'NANO_data15.0', 'HRV_NANO_data']]
workflows[_wfn()] = ['NANOdata150X', ['JetMET1_Run2025C_MINIAOD_150X', 'NANO_data15.0_prompt', 'HRV_NANO_data']]

# POG/PAG custom NANOs, MC
_wfn.subnext()
workflows[_wfn()] = ['muPOGNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'muPOGNANO_mc15.0']]
workflows[_wfn()] = ['EGMNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'EGMNANO_mc15.0']]
workflows[_wfn()] = ['BTVNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'BTVNANO_mc15.0']]
workflows[_wfn()] = ['jmeNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'jmeNANO_mc15.0']]
workflows[_wfn()] = ['jmeNANOrePuppimc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'jmeNANO_rePuppi_mc15.0']]
workflows[_wfn()] = ['lepTrackInfoNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'lepTrackInfoNANO_mc15.0']]
workflows[_wfn()] = ['ScoutingNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'scoutingNANO_mc15.0']]
workflows[_wfn()] = ['ScoutingNANOwithPromptmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'scoutingNANO_withPrompt_mc15.0']]
workflows[_wfn()] = ['BPHNANOmc150X', ['TTbar_13p6_Summer24_MINIAOD_150X', 'BPHNANO_mc15.0']]
workflows[_wfn()] = ['EXONANOmc150X', ['TTbar_13p6_Summer24_AOD_140X', 'EXONANO_mc15.0']]

# POG/PAG custom NANOs, data
_wfn.subnext()
workflows[_wfn()] = ['muPOGNANO150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'muPOGNANO_data15.0']]
workflows[_wfn()] = ['EGMNANOdata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'EGMNANO_data15.0']]
workflows[_wfn()] = ['BTVNANOdata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'BTVNANO_data15.0']]
workflows[_wfn()] = ['jmeNANOdata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'jmeNANO_data15.0']]
workflows[_wfn()] = ['jmeNANOrePuppidata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'jmeNANO_rePuppi_data15.0']]
workflows[_wfn()] = ['lepTrackInfoNANOdata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'lepTrackInfoNANO_data15.0']]
_wfn()
_wfn()
_wfn()
_wfn()
_wfn()
_wfn()
workflows[_wfn()] = ['ScoutingNANOdata150Xrun3', ['ScoutingPFRun3_Run2025C_HLTSCOUT_150X', 'scoutingNANO_data15.0']]
workflows[_wfn()] = ['ScoutingNANOmonitordata150Xrun3', ['ScoutingPFMonitor_Run2025C_MINIAOD_150X', 'scoutingNANO_monitor_data15.0']] # noqa
workflows[_wfn()] = ['ScoutingNANOmonitorWithPromptdata150Xrun3', ['ScoutingPFMonitor_Run2025C_MINIAOD_150X', 'scoutingNANO_monitorWithPrompt_data15.0']] # noqa
workflows[_wfn()] = ['BPHNANOdata150Xrun3', ['JetMET1_Run2025C_MINIAOD_150X', 'BPHNANO_data15.0']]
workflows[_wfn()] = ['EXONANOdata150Xrun3', ['Muon0_Run2025C_AOD_150X', 'EXONANO_data15.0']]
_wfn()
_wfn()
_wfn()
_wfn()
workflows[_wfn()] = ['L1ScoutingNANOdata150Xrun3', ['L1Scouting2025RAW15.0', 'l1ScoutingNANO_data15.0']]
workflows[_wfn()] = ['L1ScoutingSelectionNANOdata150Xrun3', ['L1ScoutingSelection2025RAW15.0', 'l1ScoutingSelectionNANO_data15.0']]

Expand Down Expand Up @@ -709,8 +650,6 @@ def next(self, index: int = None) -> None:
_wfn.next(9)
######## 2500.9xxx ########
# 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',
Expand Down
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