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

Comparing UserCode/VHbb/python/evaluateMVA.py (file contents):
Revision 1.3 by peller, Wed May 9 15:25:27 2012 UTC vs.
Revision 1.10 by nmohr, Thu Aug 9 13:52:04 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
#	Line 19 | Line 20 | from printcolor import printc
20		#CONFIGURE
21
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("-P", "--path", dest="path", default="",
31	>	help="path to samples")
32	>	parser.add_option("-S", "--samples", dest="names", default="",
33	>	help="samples you want to run on")
34	>	parser.add_option("-C", "--config", dest="config", default="",
35	>	help="configuration file")
36	>	(opts, args) = parser.parse_args(argv)
37	>	if opts.config =="":
38	>	opts.config = "config"
39	>	config = BetterConfigParser()
40	>	config.read(opts.config)
41	>	anaTag = config.get("Analysis","tag")
42
43		#get locations:
44		Wdir=config.get('Directories','Wdir')
45
46	+	MVAdir=config.get('Directories','MVAdir')
47
48		#systematics
49		systematics=config.get('systematics','systematics')
50		systematics=systematics.split(' ')
51
52		#TreeVar Array
53	<	MVA_Vars={}
54	<	for systematic in systematics:
55	<	MVA_Vars[systematic]=config.get('treeVars',systematic)
56	<	MVA_Vars[systematic]=MVA_Vars[systematic].split(' ')
53	>	#MVA_Vars={}
54	>	#for systematic in systematics:
55	>	#    MVA_Vars[systematic]=config.get('treeVars',systematic)
56	>	#    MVA_Vars[systematic]=MVA_Vars[systematic].split(' ')
57
58		######################
59		#Evaluate multi: Must Have same treeVars!!!
60
61	<	Apath=sys.argv[1]
62	<	arglist=sys.argv[2] #RTight_blavla,bsbsb
61	>	Apath=opts.path
62	>	infofile = open(Apath+'/samples.info','r')
63	>	info = pickle.load(infofile)
64	>	infofile.close()
65	>	arglist=opts.discr #RTight_blavla,bsbsb
66
67	<	#for axample
68	<	#0 5 0
69	<	#and
70	<	#5 -1 1
49	<
50	<	start=int(sys.argv[3])
51	<	stop=int(sys.argv[4])
52	<	doinfo=bool(int(sys.argv[5]))
67	>	namelistIN=opts.names
68	>	namelist=namelistIN.split(',')
69	>
70	>	doinfo=bool(int(opts.update))
71
72		MVAlist=arglist.split(',')
73
#	Line 92 | Line 110 | for MVA in MVAlist:
110
111		#define variables and specatators
112		MVA_var_buffer = []
113	+	MVA_var_buffer4 = []
114		for i in range(len( MVA_Vars['Nominal'])):
115		MVA_var_buffer.append(array( 'f', [ 0 ] ))
116		for reader in readers:
#	Line 112 | Line 131 | Ainfo = pickle.load(infofile)
131		infofile.close()
132
133		#eval
134	<	for job in Ainfo[start:stop]:
135	<	#get trees:
136	<	input = TFile.Open(job.getpath(),'read')
137	<	outfile = TFile.Open(job.path+'/MVAout/'+job.prefix+job.identifier+'.root','recreate')
138	<	input.cd()
139	<	obj = ROOT.TObject
140	<	for key in ROOT.gDirectory.GetListOfKeys():
141	<	input.cd()
142	<	obj = key.ReadObj()
143	<	#print obj.GetName()
144	<	if obj.GetName() == job.tree:
145	<	continue
146	<	outfile.cd()
147	<	#print key.GetName()
148	<	obj.Write(key.GetName())
149	<	tree = input.Get(job.tree)
150	<	nEntries = tree.GetEntries()
151	<	outfile.cd()
152	<	newtree = tree.CloneTree(0)
153	<
154	<	#MCs:
155	<	if job.type != 'DATA':
156	<	MVA_formulas={}
157	<	for systematic in systematics:
158	<	#print '\t\t - ' + systematic
159	<	MVA_formulas[systematic]=[]
160	<	#create TTreeFormulas
161	<	for j in range(len( MVA_Vars['Nominal'])):
162	<	MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
163	<	outfile.cd()
164	<	#Setup Branches
165	<	MVAbranches=[]
166	<	for i in range(0,len(readers)):
167	<	MVAbranches.append(array('f',[0]*9))
168	<	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')
169	<	print '\n--> ' + job.name +':'
170	<	#progbar setup
171	<	if nEntries >= longe:
172	<	step=int(nEntries/longe)
173	<	long=longe
174	<	else:
175	<	long=nEntries
176	<	step = 1
177	<	bar=progbar(long)
178	<	#Fill event by event:
179	<	for entry in range(0,nEntries):
180	<	if entry % step == 0:
181	<	bar.move()
182	<	#load entry
183	<	tree.GetEntry(entry)
184	<	for systematic in systematics:
134	>	for job in Ainfo:
135	>	if eval(job.active):
136	>	if job.name in namelist:
137	>	#get trees:
138	>	input = TFile.Open(job.getpath(),'read')
139	>	outfile = TFile.Open(job.path+'/'+MVAdir+job.prefix+job.identifier+'.root','recreate')
140	>	input.cd()
141	>	obj = ROOT.TObject
142	>	for key in ROOT.gDirectory.GetListOfKeys():
143	>	input.cd()
144	>	obj = key.ReadObj()
145	>	#print obj.GetName()
146	>	if obj.GetName() == job.tree:
147	>	continue
148	>	outfile.cd()
149	>	#print key.GetName()
150	>	obj.Write(key.GetName())
151	>	tree = input.Get(job.tree)
152	>	nEntries = tree.GetEntries()
153	>	outfile.cd()
154	>	newtree = tree.CloneTree(0)
155	>
156	>	#MCs:
157	>	if job.type != 'DATA':
158	>	MVA_formulas={}
159	>	MVA_formulas4={}
160	>	for systematic in systematics:
161	>	#print '\t\t - ' + systematic
162	>	MVA_formulas[systematic]=[]
163	>	MVA_formulas4[systematic]=[]
164	>	#create TTreeFormulas
165	>	for j in range(len( MVA_Vars['Nominal'])):
166	>	MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
167	>	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
168	>	outfile.cd()
169	>	#Setup Branches
170	>	MVAbranches=[]
171	>	MVAbranches4=[]
172	>	for i in range(0,len(readers)):
173	>	MVAbranches.append(array('f',[0]*9))
174	>	MVAbranches4.append(array('f',[0]*9))
175	>	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')
176	>	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/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:
193	>	for j in range(len( MVA_Vars['Nominal'])):
194	>	MVA_var_buffer[j][0] = MVA_formulas[systematic][j].EvalInstance()
195	>
196	>	for j in range(0,len(readers)):
197	>	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
198	>
199	>	for j in range(len( MVA_Vars['Nominal'])):
200	>	MVA_var_buffer[j][0] = MVA_formulas4[systematic][j].EvalInstance()
201	>
202	>	for j in range(0,len(readers)):
203	>	MVAbranches4[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
204	>	#Fill:
205	>	newtree.Fill()
206	>	newtree.AutoSave()
207	>	outfile.Close()
208	>
209	>	#DATA:
210	>	if job.type == 'DATA':
211	>	#MVA Formulas
212	>	MVA_formulas_Nominal = []
213	>	#create TTreeFormulas
214		for j in range(len( MVA_Vars['Nominal'])):
215	<	MVA_var_buffer[j][0] = MVA_formulas[systematic][j].EvalInstance()
216	<
217	<	for j in range(0,len(readers)):
218	<	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
219	<	#Fill:
220	<	newtree.Fill()
221	<	newtree.AutoSave()
222	<	outfile.Close()
223	<
224	<	#DATA:
225	<	if job.type == 'DATA':
226	<	#MVA Formulas
227	<	MVA_formulas_Nominal = []
228	<	#create TTreeFormulas
229	<	for j in range(len( MVA_Vars['Nominal'])):
230	<	MVA_formulas_Nominal.append(ROOT.TTreeFormula("MVA_formula%s_Nominal"%j, MVA_Vars['Nominal'][j],tree))
231	<	outfile.cd()
232	<	MVAbranches=[]
233	<	for i in range(0,len(readers)):
234	<	MVAbranches.append(array('f',[0]))
235	<	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
236	<	#progbar
237	<	print '\n--> ' + job.name +':'
238	<	if nEntries >= longe:
239	<	step=int(nEntries/longe)
240	<	long=longe
241	<	else:
242	<	long=nEntries
243	<	step = 1
244	<	bar=progbar(long)
245	<	#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	<
215	>	MVA_formulas_Nominal.append(ROOT.TTreeFormula("MVA_formula%s_Nominal"%j, MVA_Vars['Nominal'][j],tree))
216	>	outfile.cd()
217	>	MVAbranches=[]
218	>	for i in range(0,len(readers)):
219	>	MVAbranches.append(array('f',[0]))
220	>	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
221	>	newtree.Branch(MVAinfos[i].MVAname+'_4',MVAbranches[i],'nominal/F')
222	>	#progbar
223	>	print '\n--> ' + job.name +':'
224	>	if nEntries >= longe:
225	>	step=int(nEntries/longe)
226	>	long=longe
227	>	else:
228	>	long=nEntries
229	>	step = 1
230	>	bar=progbar(long)
231	>	#Fill event by event:
232	>	for entry in range(0,nEntries):
233	>	if entry % step == 0:
234	>	bar.move()
235	>	#load entry
236	>	tree.GetEntry(entry)
237	>	#nominal:
238	>	for j in range(len( MVA_Vars['Nominal'])):
239	>	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
240	>
241	>	for j in range(0,len(readers)):
242	>	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
243	>	newtree.Fill()
244	>	newtree.AutoSave()
245	>	outfile.Close()
246
247	+	print '\n'
248
249		#Update Info:
250		if doinfo:
251		for job in Ainfo:
252		for MVAinfo in MVAinfos:
253		job.addcomment('Added MVA %s'%MVAinfo.MVAname)
254	<	job.addpath('/MVAout')
255	<	infofile = open(Apath+'/MVAout/samples.info','w')
254	>	job.addpath(MVAdir)
255	>	infofile = open(Apath+MVAdir+'/samples.info','w')
256		pickle.dump(Ainfo,infofile)
257		infofile.close()
258

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