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

Comparing UserCode/VHbb/python/evaluateMVA.py (file contents):
Revision 1.7 by nmohr, Tue Jun 19 22:55:47 2012 UTC vs.
Revision 1.8 by peller, Thu Aug 2 16:03:52 2012 UTC

#	Line 111 | Line 111 | infofile.close()
111
112		#eval
113		for job in Ainfo:
114	<
115	<	if job.name in namelist:
116	<	#get trees:
117	<	input = TFile.Open(job.getpath(),'read')
118	<	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():
114	>	if eval(job.active):
115	>	if job.name in namelist:
116	>	#get trees:
117	>	input = TFile.Open(job.getpath(),'read')
118	>	outfile = TFile.Open(job.path+'/'+MVAdir+job.prefix+job.identifier+'.root','recreate')
119		input.cd()
120	<	obj = key.ReadObj()
121	<	#print obj.GetName()
122	<	if obj.GetName() == job.tree:
123	<	continue
120	>	obj = ROOT.TObject
121	>	for key in ROOT.gDirectory.GetListOfKeys():
122	>	input.cd()
123	>	obj = key.ReadObj()
124	>	#print obj.GetName()
125	>	if obj.GetName() == job.tree:
126	>	continue
127	>	outfile.cd()
128	>	#print key.GetName()
129	>	obj.Write(key.GetName())
130	>	tree = input.Get(job.tree)
131	>	nEntries = tree.GetEntries()
132		outfile.cd()
133	<	#print key.GetName()
129	<	obj.Write(key.GetName())
130	<	tree = input.Get(job.tree)
131	<	nEntries = tree.GetEntries()
132	<	outfile.cd()
133	<	newtree = tree.CloneTree(0)
133	>	newtree = tree.CloneTree(0)
134
135	<	#MCs:
136	<	if job.type != 'DATA':
137	<	MVA_formulas={}
138	<	MVA_formulas4={}
139	<	for systematic in systematics:
140	<	#print '\t\t - ' + systematic
141	<	MVA_formulas[systematic]=[]
142	<	MVA_formulas4[systematic]=[]
135	>	#MCs:
136	>	if job.type != 'DATA':
137	>	MVA_formulas={}
138	>	MVA_formulas4={}
139	>	for systematic in systematics:
140	>	#print '\t\t - ' + systematic
141	>	MVA_formulas[systematic]=[]
142	>	MVA_formulas4[systematic]=[]
143	>	#create TTreeFormulas
144	>	for j in range(len( MVA_Vars['Nominal'])):
145	>	MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
146	>	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
147	>	outfile.cd()
148	>	#Setup Branches
149	>	MVAbranches=[]
150	>	MVAbranches4=[]
151	>	for i in range(0,len(readers)):
152	>	MVAbranches.append(array('f',[0]*9))
153	>	MVAbranches4.append(array('f',[0]*9))
154	>	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')
155	>	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')
156	>	print '\n--> ' + job.name +':'
157	>	#progbar setup
158	>	if nEntries >= longe:
159	>	step=int(nEntries/longe)
160	>	long=longe
161	>	else:
162	>	long=nEntries
163	>	step = 1
164	>	bar=progbar(long)
165	>	#Fill event by event:
166	>	for entry in range(0,nEntries):
167	>	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	>
178	>	for j in range(len( MVA_Vars['Nominal'])):
179	>	MVA_var_buffer[j][0] = MVA_formulas4[systematic][j].EvalInstance()
180	>
181	>	for j in range(0,len(readers)):
182	>	MVAbranches4[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
183	>	#Fill:
184	>	newtree.Fill()
185	>	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[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),MVA_Vars[systematic][j],tree))
195	<	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
196	<	outfile.cd()
197	<	#Setup Branches
198	<	MVAbranches=[]
199	<	MVAbranches4=[]
200	<	for i in range(0,len(readers)):
201	<	MVAbranches.append(array('f',[0]*9))
202	<	MVAbranches4.append(array('f',[0]*9))
203	<	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')
204	<	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')
205	<	print '\n--> ' + job.name +':'
206	<	#progbar setup
207	<	if nEntries >= longe:
208	<	step=int(nEntries/longe)
209	<	long=longe
210	<	else:
211	<	long=nEntries
212	<	step = 1
213	<	bar=progbar(long)
214	<	#Fill event by event:
215	<	for entry in range(0,nEntries):
216	<	if entry % step == 0:
168	<	bar.move()
169	<	#load entry
170	<	tree.GetEntry(entry)
171	<	for systematic in systematics:
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[systematic][j].EvalInstance()
219	<
218	>	MVA_var_buffer[j][0] = MVA_formulas_Nominal[j].EvalInstance()
219	>
220		for j in range(0,len(readers)):
221	<	MVAbranches[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
222	<
223	<	for j in range(len( MVA_Vars['Nominal'])):
224	<	MVA_var_buffer[j][0] = MVA_formulas4[systematic][j].EvalInstance()
180	<
181	<	for j in range(0,len(readers)):
182	<	MVAbranches4[j][systematics.index(systematic)] = readers[j].EvaluateMVA(MVAinfos[j].MVAname)
183	<	#Fill:
184	<	newtree.Fill()
185	<	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()
221	>	MVAbranches[j][0]= readers[j].EvaluateMVA(MVAinfos[j].MVAname)
222	>	newtree.Fill()
223	>	newtree.AutoSave()
224	>	outfile.Close()
225
226		print '\n'
227

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