path = \
'/tmp/jodafons/news/tunedDiscr.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium.eta.et.dep/' + \
'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_3_etBin_2/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_3_etBin_1/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_3_etBin_0/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_2_etBin_2/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_2_etBin_1/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_2_etBin_0/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_1_etBin_2/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_1_etBin_1/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_1_etBin_0/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_0_etBin_2/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_0_etBin_1/'
#'tuned.mc14.sgn.offLH.bkg.truth.trig.l1cluscut_20.l2etcut_19.e24_medium_etaBin_0_etBin_0/'
stat = CrossValidStatAnalysis(path, level=LoggingLevel.DEBUG)
################################## For Trigger ##################################
# Define the reference benchmarks
'''
#Crack
#Online: e24_lhmedium_L1EM20VH, all range of eta/et. We will use the global eff
Medium_LH_L2Calo_Pd = ReferenceBenchmark( "Medium_LH_L2Calo_Pd", "Pd", refVal = 0.9809 )
Medium_LH_EFCalo_Pd = ReferenceBenchmark( "Medium_LH_EFCalo_Pd", "Pd", refVal = 0.9506 )
Medium_MaxSP = ReferenceBenchmark( "Medium_MaxSP", "SP" )
Medium_LH_L2Calo_Pf = ReferenceBenchmark( "Medium_LH_L2Calo_Pf", "Pf", refVal = 0.1358 )
Medium_LH_EFCalo_Pf = ReferenceBenchmark( "Medium_LH_EFCalo_Pf", "Pf", refVal = 0.0582 )
outputName = 'crossValStat_indep'
'''
'''
["Medium_LH_EFCalo_Pf"]],
# Et 2, Eta 0
[["Medium_LH_EFCalo_Pf"],
# Et 2, Eta 1
["Medium_LH_EFCalo_Pf"],
# Et 2, Eta 2
["Medium_LH_EFCalo_Pd"],
# Et 2, Eta 3
["Medium_LH_EFCalo_Pd"]],
# Et 3, Eta 0
[["Medium_LH_EFCalo_Pf"],
# Et 3, Eta 1
["Medium_LH_EFCalo_Pf"],
# Et 3, Eta 2
["Medium_LH_EFCalo_Pd"],
# Et 3, Eta 3
["Medium_LH_EFCalo_Pf"]],
]
chainNames=['e24_lhmedium_EFCalo']
CrossValidStatAnalysis.exportDiscrFiles(crossValGrid,
RingerOperation.L2,
refBenchCol=refBenchmarkList,
configCol=configList,
triggerChains=chainNames
)
13, 11, 11
],
[ # Et 2, Eta 2
9, 9, 19
],
[ # Et 2, Eta 3
20, 20, 15
]
],
# EFCalo, Et 3, Eta 0
# Pd, SP, Pf
[
[20, 20, 20],
[ # Et 3, Eta 1
11, 7, 7
],
[ # Et 3, Eta 2
17, 17, 19
],
[ # Et 3, Eta 3
16, 16, 16
]
]
]]
from pprint import pprint
pprint(configMap)
from TuningTools.CrossValidStat import CrossValidStatAnalysis
CrossValidStatAnalysis.printTables(configBaseList, crossValGrid, configMap)
'mc14_13TeV.147406.129160.sgn.offCutID.bkg.truth.trig.e24_lhmedium_L1EM20VH_summary.pic.gz',
'mc14_13TeV.147406.129160.sgn.offCutID.bkg.truth.trig.e24_lhtight_L1EM20VH_summary.pic.gz',
]
lhmediumSummary = load(summaryList[0])
lhtightSummary = load(summaryList[1])
for nEta in [3]:
for nEt in [0, 1, 2]:
outputName = (
'crossValStat_mc14_13TeV.147406.129160.sgn.offCutID.bkg.truth.trig.e24.etaBin_%d_etBin_%d'
) % (nEta, nEt)
stat = CrossValidStatAnalysis(basepath + '/' + fileList[nEta][nEt],
level=LoggingLevel.DEBUG)
Medium_LH_L2Calo_Pd = ReferenceBenchmark(
"Medium_LH_L2Calo_Pd",
"Pd",
refVal=lhmediumSummary['sgn'][nEt][nEta][0].efficiency() /
float(100))
Medium_LH_L2Calo_Pf = ReferenceBenchmark(
"Medium_LH_L2Calo_Pf",
"Pf",
refVal=lhmediumSummary['bkg'][nEt][nEta][0].efficiency() /
float(100))
Medium_LH_EFCalo_Pd = ReferenceBenchmark(
"Medium_LH_EFCalo_Pd",
"Pd",
refVal=lhmediumSummary['sgn'][nEt][nEta][2].efficiency() /
#!/usr/bin/env python
from RingerCore.Logger import LoggingLevel
from TuningTools.CrossValidStat import CrossValidStatAnalysis, GridJobFilter
basepath = 'files'
stat = CrossValidStatAnalysis(
basepath+'/tuned/',
#binFilters = GridJobFilter,
level = LoggingLevel.DEBUG,
)
from TuningTools.CreateData import TuningDataArchieve
TDArchieve = TuningDataArchieve(basepath+'/data.pic.npz')
nEtBins = TDArchieve.nEtBins()
nEtaBins = TDArchieve.nEtaBins()
refBenchmarkList = []
from itertools import product
from TuningTools.TuningJob import ReferenceBenchmark
with TDArchieve as data:
for etBin, etaBin in product( range( nEtBins if nEtBins is not None else 1 ),
range( nEtaBins if nEtaBins is not None else 1 )):
benchmarks = (data['signal_efficiencies'], data['background_efficiencies'])
#cross_benchmarks = (TDArchieve['signal_cross_efficiencies'], TDArchieve['background_cross_efficiencies'])
sigEff = data['signal_efficiencies']['EFCaloAccept'][etBin][etaBin]
bkgEff = data['background_efficiencies']['EFCaloAccept'][etBin][etaBin]
try:
'e24_lhmedium_L1EM20VH_L2EFCalo_ringer_pd',
'e24_lhmedium_L1EM20VH_L2Calo_ringer_pd',
'e24_lhmedium_L1EM20VH_ringer_sp',
'e24_lhtight_L1EM20VH_L2EFCalo_ringer_pd',
'e24_lhtight_L1EM20VH_L2Calo_ringer_pd',
]
tc=0
for key in ['Medium_LH_EFCalo_Pd', 'Medium_LH_L2Calo_Pd','Medium_LH_MaxSP','Tight_LH_EFCalo_Pd','Tight_LH_L2Calo_Pd']:
netBins=dict()
for nEta in [0,1,2,3]:
for nEt in [0,1,2]:
crossValSummary = load((crossValBasepath+'/'+crossValName)%(nEta,nEt))
stat = CrossValidStatAnalysis( basepath+'/'+fileList[nEta][nEt], level = LoggingLevel.DEBUG )
# Add them to a list:
data = CrossValidStatAnalysis.exportDiscrFiles(crossValSummary, RingerOperation.L2,
refBenchmarkNameList=[key],
configList=[config[key][nEta][nEt]])
network = data['tunedDiscr']
network['etaBin']=[etaBins[nEta],etaBins[nEta+1]]
network['etBin'] =[etBins[nEt] ,etBins[nEt+1] ]
netBins[('eta%d_et%d')%(nEta,nEt)]=network
output.write((' signatures["%s"]=%s\n')%(triggerList[tc],str(netBins)))
tc+=1
output.write(' return signatures')
output.close()
#!/usr/bin/env python
crossValGrid = [['crossValStat.pic']]
configBaseList = ['Loose_LH',
'Medium_',
'Tight_LH']
configMap = [
[[[ 16, 16, 16 ]]],
[[[ 16, 16, 16 ]]],
[[[ 16, 16, 16 ]]],
[[[ 16, 16, 16 ]]],
[[[ 16, 16, 16 ]]],
]
from pprint import pprint
pprint(configMap)
from TuningTools.CrossValidStat import CrossValidStatAnalysis
CrossValidStatAnalysis.printTables(configBaseList,
crossValGrid,
configMap)
#!/usr/bin/env python
from RingerCore.Logger import LoggingLevel
from TuningTools.CrossValidStat import CrossValidStatAnalysis, GridJobFilter
stat = CrossValidStatAnalysis(
'/afs/cern.ch/work/w/wsfreund/public/Online/20.7.3.6_fixET/user.nbullacr.nn.mc14_13TeV.147406.129160.sgn.offLH.bkg.truth.trig.ef.e24_lhmedium_nod0_binned_t0001_tunedDiscrXYZ.tgz',
#'/afs/cern.ch/work/w/wsfreund/public/Online/20.7.3.6_fixET/test',
#'/Users/wsfreund/Documents/Doutorado/CERN/Online/data/test',
binFilters=GridJobFilter,
level=LoggingLevel.DEBUG,
)
from TuningTools.CreateData import TuningDataArchieve
TDArchieve = TuningDataArchieve(
'/afs/cern.ch/work/j/jodafons/public/Tuning2016/TuningConfig/mc14_13TeV.147406.129160.sgn.offLikelihood.bkg.truth.trig.e24_lhmedium_nod0_l1etcut20_l2etcut19_efetcut24_binned.pic.npz'
)
#TDArchieve = TuningDataArchieve('/Users/wsfreund/Documents/Doutorado/CERN/Online/data/mc14_13TeV.147406.129160.sgn.offLikelihood.bkg.truth.trig.e24_lhmedium_nod0_l1etcut20_l2etcut19_efetcut24_binned.pic.npz')
nEtBins = TDArchieve.nEtBins()
nEtaBins = TDArchieve.nEtaBins()
refBenchmarkList = []
from itertools import product
from TuningTools.TuningJob import ReferenceBenchmark
with TDArchieve as data:
for etBin, etaBin in product(
range(nEtBins if nEtBins is not None else 1),
range(nEtaBins if nEtaBins is not None else 1)):
benchmarks = (data['signal_efficiencies'],
data['background_efficiencies'])
#cross_benchmarks = (TDArchieve['signal_cross_efficiencies'], TDArchieve['background_cross_efficiencies'])
sigEff = data['signal_efficiencies']['EFCaloAccept'][etBin][etaBin]
],
# Et 2, Eta 0
[
["Medium_LH_EFCalo_Pf"],
# Et 2, Eta 1
["Medium_LH_EFCalo_Pf"],
# Et 2, Eta 2
["Medium_LH_EFCalo_Pd"],
# Et 2, Eta 3
["Medium_LH_EFCalo_Pd"]
],
# Et 3, Eta 0
[
["Medium_LH_EFCalo_Pf"],
# Et 3, Eta 1
["Medium_LH_EFCalo_Pf"],
# Et 3, Eta 2
["Medium_LH_EFCalo_Pd"],
# Et 3, Eta 3
["Medium_LH_EFCalo_Pf"]
],
]
chainNames = ['e24_lhmedium_EFCalo']
CrossValidStatAnalysis.exportDiscrFiles(crossValGrid,
RingerOperation.L2,
refBenchCol=refBenchmarkList,
configCol=configList,
triggerChains=chainNames)
