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root/cvsroot/UserCode/VHbb/python/evaluateMVA.py

Comparing UserCode/VHbb/python/evaluateMVA.py (file contents):
Revision 1.2 by peller, Wed May 9 09:48:23 2012 UTC vs.
Revision 1.17 by peller, Tue Nov 27 09:00:27 2012 UTC

#	Line 9 | Line 9 | from copy import copy
9		#suppres the EvalInstace conversion warning bug
10		import warnings
11		warnings.filterwarnings( action='ignore', category=RuntimeWarning, message='creating converter.*' )
12	<	from ConfigParser import SafeConfigParser
13	<	from samplesinfo import sample
12	>	from optparse import OptionParser
13	>	from BetterConfigParser import BetterConfigParser
14	>	from samplesclass import sample
15		from mvainfos import mvainfo
16		import pickle
17		from progbar import progbar
18		from printcolor import printc
19
20		#CONFIGURE
21	<
21	>	print 'hello'
22		#load config
23	<	config = SafeConfigParser()
24	<	config.read('./config')
23	>	#os.mkdir(path+'/sys')
24	>	argv = sys.argv
25	>	parser = OptionParser()
26	>	parser.add_option("-U", "--update", dest="update", default=0,
27	>	help="update infofile")
28	>	parser.add_option("-D", "--discr", dest="discr", default="",
29	>	help="discriminators to be added")
30	>	#parser.add_option("-I", "--inpath", dest="inpath", default="",
31	>	#                      help="path to samples")
32	>	#parser.add_option("-O", "--outpath", dest="outpath", default="",
33	>	#                      help="path where to store output samples")
34	>	parser.add_option("-S", "--samples", dest="names", default="",
35	>	help="samples you want to run on")
36	>	parser.add_option("-C", "--config", dest="config", default=[], action="append",
37	>	help="configuration file")
38	>	(opts, args) = parser.parse_args(argv)
39	>	if opts.config =="":
40	>	opts.config = "config"
41	>	config = BetterConfigParser()
42	>	#config.read('./config7TeV_ZZ')
43	>	config.read(opts.config)
44	>	anaTag = config.get("Analysis","tag")
45
46		#get locations:
47		Wdir=config.get('Directories','Wdir')
48	<
48	>	MVASubdir=config.get('Directories','MVAdir')
49	>	samplesinfo=config.get('Directories','samplesinfo')
50
51		#systematics
52		systematics=config.get('systematics','systematics')
53		systematics=systematics.split(' ')
54
55		#TreeVar Array
56	<	MVA_Vars={}
57	<	for systematic in systematics:
58	<	MVA_Vars[systematic]=config.get('treeVars',systematic)
59	<	MVA_Vars[systematic]=MVA_Vars[systematic].split(' ')
56	>	#MVA_Vars={}
57	>	#for systematic in systematics:
58	>	#    MVA_Vars[systematic]=config.get('treeVars',systematic)
59	>	#    MVA_Vars[systematic]=MVA_Vars[systematic].split(' ')
60
61		######################
62		#Evaluate multi: Must Have same treeVars!!!
63
64	<	Apath=sys.argv[1]
65	<	arglist=sys.argv[2] #RTight_blavla,bsbsb
64	>	#OUTpath=opts.outpath
65	>	#INpath=opts.inpath
66	>	INpath = config.get('Directories','MVAin')
67	>	OUTpath = config.get('Directories','MVAout')
68
69	<	#for axample
70	<	#0 5 0
71	<	#and
72	<	#5 -1 1
73	<
74	<	start=int(sys.argv[3])
75	<	stop=int(sys.argv[4])
76	<	doinfo=bool(int(sys.argv[5]))
69	>	infofile = open(samplesinfo,'r')
70	>	info = pickle.load(infofile)
71	>	infofile.close()
72	>	arglist=opts.discr #RTight_blavla,bsbsb
73	>
74	>	namelistIN=opts.names
75	>	namelist=namelistIN.split(',')
76	>
77	>	doinfo=bool(int(opts.update))
78
79		MVAlist=arglist.split(',')
80	+	MVAdir=config.get('Directories','vhbbpath')
81
82		#CONFIG
83		#factory
#	Line 65 | Line 91 | factoryname=config.get('factory','factor
91		#MVAinfofiles=[]
92		MVAinfos=[]
93		for MVAname in MVAlist:
94	<	MVAinfofile = open(Wdir+'/weights/'+factoryname+'_'+MVAname+'.info','r')
94	>	MVAinfofile = open(MVAdir+'/data/'+factoryname+'_'+MVAname+'.info','r')
95		MVAinfos.append(pickle.load(MVAinfofile))
96		MVAinfofile.close()
97
#	Line 92 | Line 118 | for MVA in MVAlist:
118
119		#define variables and specatators
120		MVA_var_buffer = []
121	+	MVA_var_buffer4 = []
122		for i in range(len( MVA_Vars['Nominal'])):
123		MVA_var_buffer.append(array( 'f', [ 0 ] ))
124		for reader in readers:
#	Line 103 | Line 130 | for i in range(len( MVA_Vars['Nominal'])
130		#        reader.AddSpectator(spectators[i],MVA_spectator_buffer[i])
131		#Load raeder
132		for i in range(0,len(readers)):
133	<	readers[i].BookMVA(MVAinfos[i].MVAname,MVAinfos[i].getweightfile())
133	>	readers[i].BookMVA(MVAinfos[i].MVAname,MVAdir+'/data/'+MVAinfos[i].getweightfile())
134		#--> Now the MVA is booked
135
136		#Apply samples
137	<	infofile = open(Apath+'/samples.info','r')
137	>	infofile = open(samplesinfo,'r')
138		Ainfo = pickle.load(infofile)
139		infofile.close()
140
141		#eval
142	<	for job in Ainfo[start:stop]:
143	<	#get trees:
144	<	input = TFile.Open(job.getpath(),'read')
145	<	outfile = TFile.Open(job.path+'/MVAout2/'+job.prefix+job.identifier+'.root','recreate')
146	<	input.cd()
147	<	obj = ROOT.TObject
148	<	for key in ROOT.gDirectory.GetListOfKeys():
149	<	input.cd()
150	<	obj = key.ReadObj()
151	<	print obj.GetName()
152	<	if obj.GetName() == job.tree:
153	<	continue
154	<	outfile.cd()
155	<	print key.GetName()
156	<	obj.Write(key.GetName())
157	<	tree = input.Get(job.tree)
158	<	nEntries = tree.GetEntries()
159	<	outfile.cd()
160	<	newtree = tree.CloneTree(0)
161	<
162	<	#MCs:
163	<	if job.type != 'DATA':
164	<	MVA_formulas={}
165	<	for systematic in systematics:
166	<	#print '\t\t - ' + systematic
167	<	MVA_formulas[systematic]=[]
168	<	#create TTreeFormulas
169	<	for j in range(len( MVA_Vars['Nominal'])):
170	<	MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
171	<	outfile.cd()
172	<	#Setup Branches
173	<	MVAbranches=[]
174	<	for i in range(0,len(readers)):
175	<	MVAbranches.append(array('f',[0]*9))
176	<	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal:JER_up:JER_down:JES_up:JES_down:beff_up:beff_down:bmis_up:bmis_down/F')
177	<	print '\n--> ' + job.name +':'
178	<	#progbar setup
179	<	if nEntries >= longe:
180	<	step=int(nEntries/longe)
181	<	long=longe
182	<	else:
183	<	long=nEntries
184	<	step = 1
185	<	bar=progbar(long)
186	<	#Fill event by event:
187	<	for entry in range(0,nEntries):
188	<	if entry % step == 0:
189	<	bar.move()
190	<	#load entry
191	<	tree.GetEntry(entry)
192	<	for systematic in systematics:
142	>	for job in Ainfo:
143	>	if eval(job.active):
144	>	if job.name in namelist:
145	>	#get trees:
146	>	print INpath+'/'+job.prefix+job.identifier+'.root'
147	>	input = TFile.Open(INpath+'/'+job.prefix+job.identifier+'.root','read')
148	>	print OUTpath+'/'+job.prefix+job.identifier+'.root'
149	>	outfile = TFile.Open(OUTpath+'/'+job.prefix+job.identifier+'.root','recreate')
150	>	input.cd()
151	>	obj = ROOT.TObject
152	>	for key in ROOT.gDirectory.GetListOfKeys():
153	>	input.cd()
154	>	obj = key.ReadObj()
155	>	#print obj.GetName()
156	>	if obj.GetName() == job.tree:
157	>	continue
158	>	outfile.cd()
159	>	#print key.GetName()
160	>	obj.Write(key.GetName())
161	>	tree = input.Get(job.tree)
162	>	nEntries = tree.GetEntries()
163	>	outfile.cd()
164	>	newtree = tree.CloneTree(0)
165	>	#input.Close()
166	>
167	>	#MCs:
168	>	if job.type != 'DATA':
169	>	MVA_formulas={}
170	>	MVA_formulas4={}
171	>	for systematic in systematics:
172	>	#print '\t\t - ' + systematic
173	>	MVA_formulas[systematic]=[]
174	>	MVA_formulas4[systematic]=[]
175	>	#create TTreeFormulas
176	>	for j in range(len( MVA_Vars['Nominal'])):
177	>	MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
178	>	MVA_formulas4[systematic].append(ROOT.TTreeFormula("MVA_formula4%s_%s"%(j,systematic),MVA_Vars['Nominal'][j]+'+('+MVA_Vars[systematic][j]+'-'+MVA_Vars['Nominal'][j]+')*4',tree))#HERE change
179	>	outfile.cd()
180	>	#Setup Branches
181	>	MVAbranches=[]
182	>	MVAbranches4=[]
183	>	for i in range(0,len(readers)):
184	>	MVAbranches.append(array('f',[0]*11))
185	>	MVAbranches4.append(array('f',[0]*11))
186	>	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal:JER_up:JER_down:JES_up:JES_down:beff_up:beff_down:bmis_up:bmis_down:beff1_up:beff1_down/F')
187	>	newtree.Branch(MVAinfos[i].MVAname+'_4',MVAbranches4[i],'nominal:JER_up:JER_down:JES_up:JES_down:beff_up:beff_down:bmis_up:bmis_down:beff1_up:beff1_down/F')
188	>	print '\n--> ' + job.name +':'
189	>	#progbar setup
190	>	if nEntries >= longe:
191	>	step=int(nEntries/longe)
192	>	long=longe
193	>	else:
194	>	long=nEntries
195	>	step = 1
196	>	bar=progbar(long)
197	>	#Fill event by event:
198	>	for entry in range(0,nEntries):
199	>	if entry % step == 0:
200	>	bar.move()
201	>	#load entry
202	>	tree.GetEntry(entry)
203	>	for systematic in systematics:
204	>	for j in range(len( MVA_Vars['Nominal'])):
205	>	MVA_var_buffer[j][0] = MVA_formulas[systematic][j].EvalInstance()
206	>
207	>	for j in range(0,len(readers)):
208	>	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
209	>
210	>	for j in range(len( MVA_Vars['Nominal'])):
211	>	MVA_var_buffer[j][0] = MVA_formulas4[systematic][j].EvalInstance()
212	>
213	>	for j in range(0,len(readers)):
214	>	MVAbranches4[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
215	>	#Fill:
216	>	newtree.Fill()
217	>	newtree.AutoSave()
218	>	outfile.Close()
219	>
220	>	#DATA:
221	>	if job.type == 'DATA':
222	>	#MVA Formulas
223	>	MVA_formulas_Nominal = []
224	>	#create TTreeFormulas
225		for j in range(len( MVA_Vars['Nominal'])):
226	<	MVA_var_buffer[j][0] = MVA_formulas[systematic][j].EvalInstance()
227	<
228	<	for j in range(0,len(readers)):
229	<	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
230	<	#Fill:
231	<	newtree.Fill()
232	<	newtree.AutoSave()
233	<	outfile.Close()
234	<
235	<	#DATA:
236	<	if job.type == 'DATA':
237	<	#MVA Formulas
238	<	MVA_formulas_Nominal = []
239	<	#create TTreeFormulas
240	<	for j in range(len( MVA_Vars['Nominal'])):
241	<	MVA_formulas_Nominal.append(ROOT.TTreeFormula("MVA_formula%s_Nominal"%j, MVA_Vars['Nominal'][j],tree))
242	<	outfile.cd()
243	<	MVAbranches=[]
244	<	for i in range(0,len(readers)):
245	<	MVAbranches.append(array('f',[0]))
246	<	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
247	<	#progbar
248	<	print '\n--> ' + job.name +':'
249	<	if nEntries >= longe:
250	<	step=int(nEntries/longe)
251	<	long=longe
252	<	else:
253	<	long=nEntries
254	<	step = 1
255	<	bar=progbar(long)
256	<	#Fill event by event:
198	<	for entry in range(0,nEntries):
199	<	if entry % step == 0:
200	<	bar.move()
201	<	#load entry
202	<	tree.GetEntry(entry)
203	<	#nominal:
204	<	for j in range(len( MVA_Vars['Nominal'])):
205	<	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
206	<
207	<	for j in range(0,len(readers)):
208	<	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
209	<	newtree.Fill()
210	<	newtree.AutoSave()
211	<	outfile.Close()
212	<
213	<
214	<
226	>	MVA_formulas_Nominal.append(ROOT.TTreeFormula("MVA_formula%s_Nominal"%j, MVA_Vars['Nominal'][j],tree))
227	>	outfile.cd()
228	>	MVAbranches=[]
229	>	for i in range(0,len(readers)):
230	>	MVAbranches.append(array('f',[0]))
231	>	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
232	>	newtree.Branch(MVAinfos[i].MVAname+'_4',MVAbranches[i],'nominal/F')
233	>	#progbar
234	>	print '\n--> ' + job.name +':'
235	>	if nEntries >= longe:
236	>	step=int(nEntries/longe)
237	>	long=longe
238	>	else:
239	>	long=nEntries
240	>	step = 1
241	>	bar=progbar(long)
242	>	#Fill event by event:
243	>	for entry in range(0,nEntries):
244	>	if entry % step == 0:
245	>	bar.move()
246	>	#load entry
247	>	tree.GetEntry(entry)
248	>	#nominal:
249	>	for j in range(len( MVA_Vars['Nominal'])):
250	>	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
251	>
252	>	for j in range(0,len(readers)):
253	>	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
254	>	newtree.Fill()
255	>	newtree.AutoSave()
256	>	outfile.Close()
257
258	+	print '\n'
259
260		#Update Info:
261		if doinfo:
262		for job in Ainfo:
263		for MVAinfo in MVAinfos:
264		job.addcomment('Added MVA %s'%MVAinfo.MVAname)
265	<	job.addpath('/MVAout')
266	<	infofile = open(Apath+'/MVAout/samples.info','w')
265	>	job.addpath(MVAdir)
266	>	infofile = open(samplesinfo,'w')
267		pickle.dump(Ainfo,infofile)
268		infofile.close()
269

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