vlist=var3
x=xl3
y=yl
nb=nb3
xr=xr3
ll=1
lloc=1
if c: lloc=3
sc='linear'
vlistFilt=["mp"]
if nl==4:
vlist=var4
vlistFilt=var4
x=xl4
y=yl4
nb=nb4
xr=xr4
ll=[1,1]
lloc=[1,1]
if c: lloc=[3,3]
sc=['linear','linear']
print il,c,cut
filt=filterByCutHDF(flist+['ap-'+str(m),'pp-'+str(m)],cut,vlistFilt,getModel(mod))
fname=mod+'-m'+str(m)+'-'+str(nl)+'l-cut'+str(c)
plotHDF(filt,samples,'appp',m,getModel(mod),vlist,x,y,nb,xr,fname+'.pdf',lloc)
savefig(fname+'.png')
draw()
fname=mod+'-m'+str(m)+'-'+str(nl)+'l-cut'+str(c)+'-lin'
plotHDF(filt,samples,'appp',m,getModel(mod),vlist,x,y,nb,xr,fname+'.pdf',ll,sc)
savefig(fname+'.png')
xr=[[10,510]]
#xl=[r'$E^{miss}_{T}$ [GeV]']
#yl=[r'N events / 5 GeV']
#xr=[[0,100]]
ll=[1]
#cut1='~lowMassRes & (nlep>3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)'
cut1='~lowMassRes & (nlep>3) & (ntau<3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' # 4-lep
#cut1='~lowMassRes & (nlep==3) & (ntau<2) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)' # 3-lep
#cut1='(nlep==3) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20)'
#cut1='(nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20) & ~lowMassRes & (tWorstId>1)'
#cut2='(nlep==3) & (ntau==1) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*275+125) & (dz>80) & (phi1<0.005*275+1.15) & (met>20) & ~lowMassRes & (tWorstId>1)'
#cut1='recoPass & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes'
#cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes'
#cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes'
#cut2='recoPass & (nlep==3) & (ntau==1) & (isoworst<0.35) & (sipworst<4) & (sumpt>0.85*130+125) & (dz>80) & (phi1<0.005*130+1.15) & (met>20) & ~lowMassRes'
#cut1='(nlep==3) & (ntau<2) & (isoworst<0.35) & (sipworst<4) & ~lowMassRes & recoPass & (tWorstId>1) & (sumpt>0.85*250+125) & (dz>80) & (phi1<0.005*250+1.15) & (met>20)'
#cut1='recoPass & (nlep==3) & (ntau==0) & (isoworst<0.35) & (sipworst<4)'
#cut1='recoPass & ~lowMassRes & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1) & (dz<30) & (sumpt>150)'
#cut1='recoPass & ~lowMassRes & (nlep>2) & (isoworst<0.35) & (sipworst<4) & (tWorstId>1)'
#cut1='recoPass & ~lowMassRes & (nlep==3) & (isoworst<0.35) & (sipworst<4) & (dz<80) & (sumpt>0.85*275+125) & (phi1<0.005*275+1.15) & (met>20)'
filt1=filterByCutHDF(flist,cut1,varList,model)
#filt2=filterByCutHDF(flist,cut2,varList,model)
#fnam="BP4-4l"
plotHDF(filt1,samples,"appp",350,getModel("BP4"),varList,xl,yl,nbin,xr,fnam+'.pdf',ll,showRatio=False)
savefig(fnam+'.png')
draw()
#fnam="BP4-3l-1tau-medTau"
#plotHDF(filt2,samples,"appp",275,getModel("BP4"),varList,xl,yl,nbin,xr,fnam+'.png')
#draw()
