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

Comparing UserCode/VHbb/python/evaluateMVA.py (file contents):
Revision 1.6 by nmohr, Wed Jun 6 21:22:17 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 optparse import OptionParser
13		from BetterConfigParser import BetterConfigParser
14		from samplesclass import sample
15		from mvainfos import mvainfo
#	Line 19 | Line 20 | from printcolor import printc
20		#CONFIGURE
21
22		#load 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('./config')
40	>	config.read(opts.config)
41	>	anaTag = config.get("Analysis","tag")
42
43		#get locations:
44		Wdir=config.get('Directories','Wdir')
#	Line 32 | Line 50 | systematics=config.get('systematics','sy
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	<	namelistIN=sys.argv[3]
67	>	namelistIN=opts.names
68		namelist=namelistIN.split(',')
69
70	<	doinfo=bool(int(sys.argv[4]))
70	>	doinfo=bool(int(opts.update))
71
72		MVAlist=arglist.split(',')
73
#	Line 111 | Line 132 | infofile.close()
132
133		#eval
134		for job in Ainfo:
135	<
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')
119	<	input.cd()
120	<	obj = ROOT.TObject
121	<	for key in ROOT.gDirectory.GetListOfKeys():
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 = key.ReadObj()
142	<	#print obj.GetName()
143	<	if obj.GetName() == job.tree:
144	<	continue
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	<	#print key.GetName()
155	<	obj.Write(key.GetName())
156	<	tree = input.Get(job.tree)
157	<	nEntries = tree.GetEntries()
158	<	outfile.cd()
159	<	newtree = tree.CloneTree(0)
160	<
161	<	#MCs:
162	<	if job.type != 'DATA':
163	<	MVA_formulas={}
164	<	MVA_formulas4={}
165	<	for systematic in systematics:
166	<	#print '\t\t - ' + systematic
167	<	MVA_formulas[systematic]=[]
168	<	MVA_formulas4[systematic]=[]
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_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
216	<	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
217	<	outfile.cd()
218	<	#Setup Branches
219	<	MVAbranches=[]
220	<	MVAbranches4=[]
221	<	for i in range(0,len(readers)):
222	<	MVAbranches.append(array('f',[0]*9))
223	<	MVAbranches4.append(array('f',[0]*9))
224	<	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')
225	<	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')
226	<	print '\n--> ' + job.name +':'
227	<	#progbar setup
228	<	if nEntries >= longe:
229	<	step=int(nEntries/longe)
230	<	long=longe
231	<	else:
232	<	long=nEntries
233	<	step = 1
234	<	bar=progbar(long)
235	<	#Fill event by event:
236	<	for entry in range(0,nEntries):
237	<	if entry % step == 0:
168	<	bar.move()
169	<	#load entry
170	<	tree.GetEntry(entry)
171	<	for systematic in systematics:
172	<	for j in range(len( MVA_Vars['Nominal'])):
173	<	MVA_var_buffer[j][0] = MVA_formulas[systematic][j].EvalInstance()
174	<
175	<	for j in range(0,len(readers)):
176	<	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
177	<
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_formulas4[systematic][j].EvalInstance()
240	<
239	>	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
240	>
241		for j in range(0,len(readers)):
242	<	MVAbranches4[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
243	<	#Fill:
244	<	newtree.Fill()
245	<	newtree.AutoSave()
186	<	outfile.Close()
187	<
188	<	#DATA:
189	<	if job.type == 'DATA':
190	<	#MVA Formulas
191	<	MVA_formulas_Nominal = []
192	<	#create TTreeFormulas
193	<	for j in range(len( MVA_Vars['Nominal'])):
194	<	MVA_formulas_Nominal.append(ROOT.TTreeFormula("MVA_formula%s_Nominal"%j, MVA_Vars['Nominal'][j],tree))
195	<	outfile.cd()
196	<	MVAbranches=[]
197	<	for i in range(0,len(readers)):
198	<	MVAbranches.append(array('f',[0]))
199	<	newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
200	<	newtree.Branch(MVAinfos[i].MVAname+'_4',MVAbranches[i],'nominal/F')
201	<	#progbar
202	<	print '\n--> ' + job.name +':'
203	<	if nEntries >= longe:
204	<	step=int(nEntries/longe)
205	<	long=longe
206	<	else:
207	<	long=nEntries
208	<	step = 1
209	<	bar=progbar(long)
210	<	#Fill event by event:
211	<	for entry in range(0,nEntries):
212	<	if entry % step == 0:
213	<	bar.move()
214	<	#load entry
215	<	tree.GetEntry(entry)
216	<	#nominal:
217	<	for j in range(len( MVA_Vars['Nominal'])):
218	<	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
219	<
220	<	for j in range(0,len(readers)):
221	<	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
222	<	newtree.Fill()
223	<	newtree.AutoSave()
224	<	outfile.Close()
242	>	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
243	>	newtree.Fill()
244	>	newtree.AutoSave()
245	>	outfile.Close()
246
247		print '\n'
248

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