diff --git a/Analysis.py b/Analysis.py
index 2678453..b705273 100755
--- a/Analysis.py
+++ b/Analysis.py
@@ -140,7 +140,7 @@ for fileId in argv[1:]:
    print "# 3. compute images and radial distribution" 
    for jet_opening_angle in Jet_Opening:
       # apply selection ( /!\ USE DECREASING VALUES OF jet_opening_angle )
-      cond = (dir_source*degre <= jet_opening_angle) & (energy>Elim) #& (abs(theta)<thetalim) & (abs(phi)<thetalim)
+      cond = (dir_source*degre <= jet_opening_angle) #& (energy>Elim) #& (abs(theta)<thetalim) & (abs(phi)<thetalim)
       dir_source = dir_source[cond]
       theta_arrival = theta_arrival[cond]
       theta = theta[cond]
@@ -215,6 +215,46 @@ for fileId in argv[1:]:
       InProgress(Jet_Opening.index(jet_opening_angle)+1,shape(Jet_Opening)[0])
 
    #=============================================================================#
+   #  BY ENERGY RANGE
+   #=============================================================================#
+   print "# 3. By energy range" 
+   powerlaw_index = 2
+   weight_source = (Esource/min(Esource))**(1-powerlaw_index)
+   weight = weightini* weight_source
+
+   Emin = [1e-3,1e0,1e3] #GeV
+   Emax = [1e0,1e3,1e5] #GeV
+   for n in arange(0,3,1):
+      cond= (energy>Emin[n]) & (energy<Emax[n])
+
+      #  TIME DISTRIBUTION AND TIME DELAY VERSUS ANGLE =============================#
+      nbBins = 100
+      delta_t,dNdt = timing(time[cond],weight[cond],nbBins)
+      delta_t=delta_t[:,newaxis]
+      dNdt=dNdt[:,newaxis]
+      Timing = append(Timing,dNdt,axis=1)
+
+   #=============================================================================#
+   #  BY GENERATION
+   #=============================================================================#
+   print "# 3. By generation" 
+   gen_tab =list(set(generation))
+   powerlaw_index = 2
+   weight_source = (Esource/min(Esource))**(1-powerlaw_index)
+   weight = weightini* weight_source
+
+   for gen in gen_tab:
+      cond = generation==gen
+      print shape(time[cond])
+
+      #  TIME DISTRIBUTION AND TIME DELAY VERSUS ANGLE =============================#
+      nbBins = 100
+      delta_t,dNdt = timing(time[cond],weight[cond],nbBins)
+      delta_t=delta_t[:,newaxis]
+      dNdt=dNdt[:,newaxis]
+      Timing = append(Timing,dNdt,axis=1)
+
+   #=============================================================================#
    print "# 4. writing files" 
    savetxt(resultDirectory+fileId+"/Generation.txt",Gen_contrib)
    savetxt(resultDirectory+fileId+"/Spectrum.txt",Spectrum)
diff --git a/Modules/Analytic.py b/Modules/Analytic.py
index 1bc6a73..81bdd25 100644
--- a/Modules/Analytic.py
+++ b/Modules/Analytic.py
@@ -1,5 +1,5 @@
 from Constants import *
-from numpy import sqrt, abs, cos, sin, arcsin
+from numpy import sqrt, abs, cos, sin, arcsin, searchsorted, loadtxt
 from Read import ReadProfile
 
 # Value for analytic expression
@@ -14,6 +14,7 @@ def Analytic_flux(E_ic):
 def Analytic_theta(E_ic,fileId):
    Esource,Dsource,B=ReadProfile(fileId,[0,2,4]) #GeV #Mpc #Gauss
    delta_to_theta=lambda_gg(Esource)/Dsource
+   delta_to_theta=1.9440974051313842/Dsource
    RL0=RL(Esource/2,B)
    Dic0=Dic(Esource/2)
    delta=Dic0/(2*RL0)*((Esource/(2*Ee(E_ic)))**2 -1)
@@ -45,21 +46,21 @@ def Analytic_delay_vs_Egamma(Egamma, fileId):
    return c_delta_t *Mpc/c # sec.
 
 # Compton accumulation
-def ECompton_threshold(Compton_threshold = 0.005):
-   return Compton_threshold/(4/3*Ecmb/me*1e-3) *me*1e-6 #GeV
+def ECompton_threshold(Compton_threshold = 0.005,z=0):
+   return Compton_threshold/(4/3*Ecmb*(1+z)/me*1e-3) *me*1e-6 #GeV
 
 # Compton scattering
-def Dic(Ee=Ee_default): # Ee (GeV)
-   return 3*(me*1e-6)**2/(4*sigmaT*rhoCMB*1e-9*Ee) /Mpc #Mpc
+def Dic(Ee=Ee_default,z=0): # Ee (GeV)
+   return 3*(me*1e3)**2/(4*sigmaT*Ee*1e9*rhoCMB*(1+z)**4) /Mpc #Mpc
 
-def lambdaIC():
-   return 1/(nCMB*sigmaT*Mpc) #Mpc
+def lambdaIC(z=0):
+   return 1/(sigmaT*Mpc*nCMB*(1+z)**3) #Mpc
 
-def Eic(Ee=Ee_default):
-   return 4*Ecmb*Ee**2/(3*me**2)*1e3 #GeV 
+def Eic(Ee=Ee_default,z=0):
+   return 4*Ecmb*(1+z) *Ee**2/(3*me**2)*1e3 #GeV 
 
-def Ee(Egamma=Egamma_default):
-   return me*sqrt((3*Egamma*1e-3 )/(4*Ecmb)) #GeV 
+def Ee(Egamma=Egamma_default,z=0):
+   return me*sqrt((3*Egamma*1e-3 )/(4*Ecmb*(1+z))) #GeV 
 
 def tIC():
    return lambdaIC()/(c*yr/Mpc) #yr
@@ -85,5 +86,33 @@ def Ethreshold_ic(Ee=Ee_default,B=B_default):
 def Ethreshold_gg():
    return (me)**2/Eebl *1e-3 #GeV
 
-def lambda_gg(Egamma=1): # Egamma (GeV)
-   return 800. /(Egamma) *1e3#Mpc (from Durrer and Neronov 2013)
+def lambda_gg(Egamma=1,z=0): # Egamma (GeV)
+   # Bilinear interpolation 
+   z_tab = [0,0.5,1,2,3]
+   E_tab = loadtxt("lambda_e.dat",unpack=True,usecols=[0])*me*1e-6
+   i2 = searchsorted(z_tab,z)
+   if z<=0:
+      fy=1
+      i1=i2
+   elif z>3:
+      fy=1
+      i2-=1
+      i1=i2
+   else:
+      i1 = i2-1
+      fy=(z-z_tab[i1])/(z_tab[i2]-z_tab[i1])
+   j2 = searchsorted(E_tab,Egamma)
+   j1 = j2-1
+   fx=(Egamma-E_tab[j1])/(E_tab[j2]-E_tab[j1])
+   lambda_e = loadtxt("lambda_e.dat",unpack=True,usecols=[i1+1,i2+1,i1+6,i2+6])
+   lambda11 = lambda_e[0,j1]*((1-fx)*(1-fy))
+   lambda12 = lambda_e[1,j1]*((1-fx)*fy)
+   lambda21 = lambda_e[0,j2]*(fx*(1-fy))
+   lambda22 = lambda_e[1,j2]*(fx*fy)
+   lambda_proper = lambda11 + lambda12 + lambda21 + lambda22
+   lambda11 = lambda_e[2,j1]*((1-fx)*(1-fy))
+   lambda12 = lambda_e[3,j1]*((1-fx)*fy)
+   lambda21 = lambda_e[2,j2]*(fx*(1-fy))
+   lambda22 = lambda_e[3,j2]*(fx*fy)
+   lambda_comobile = lambda11 + lambda12 + lambda21 + lambda22
+   return lambda_proper, lambda_comobile, 800.e3/Egamma #Mpc (from Durrer and Neronov 2013)
diff --git a/Modules/Analytic.pyc b/Modules/Analytic.pyc
index e9713a5..2bd40ab 100644
Binary files a/Modules/Analytic.pyc and b/Modules/Analytic.pyc differ
diff --git a/Modules/Angle.py b/Modules/Angle.py
index ea3c323..5d52a49 100644
--- a/Modules/Angle.py
+++ b/Modules/Angle.py
@@ -11,7 +11,6 @@ def angle_vs_energy(theta,energy,weight,nbBins=50):
       Input: directory name
       Output: energy, arrival angle
    '''
-
    energy =log10(energy)
    angle,ener = histogram(energy,nbBins,weights=weight*theta)
    nb,   ener = histogram(energy,nbBins,weights=weight)
@@ -23,9 +22,9 @@ def angle_vs_energy(theta,energy,weight,nbBins=50):
 
 def radial(theta,weight,nbBins=50):
    cond = theta!=0
-   theta = 2*log10(theta[cond])
+   theta = log10(theta[cond])
    weight = weight[cond]
-   dn,angle2 = histogram(theta,nbBins,range=[2*log10(1e-3),2*log10(25)],weights=weight)
+   dn,angle2 = histogram(theta,nbBins,range=[log10(1e-3),log10(25)],weights=weight)
    angle2=10**angle2
    #theta = theta**2
    #dn,angle2 = histogram(theta,nbBins,range=[0,25],weights=weight)
@@ -66,8 +65,8 @@ def drawRadial(files,all_source_spectrum=False,all_jets=False):
    ax.set_xscale('log')
    ax.set_yscale('log')
    ax.grid(b=True,which='major')
-   ax.set_xlabel("$\\theta^2$ [deg$^2$]")
-   ax.set_ylabel("$dN/d\\theta^2$ [arbitrary]")
+   ax.set_xlabel("$\\theta$ [deg]")
+   ax.set_ylabel("$dN/d\\theta$ [arbitrary]")
    
    show()
 
@@ -97,7 +96,7 @@ def drawAngle_vs_energy(files,all_source_spectrum=False,all_jets=False,PlotAnaly
 
       if PlotAnalytic:
          yfit = Analytic_theta(ener,fileId)
-         ax1.plot(ener,yfit,'--',color=p[0].get_color(),linewidth=2,label="analytic")
+         ax1.plot(ener,yfit,'--',color=p[0].get_color(),linewidth=2)
 
    ax1.legend(loc="best")
    ax1.set_xscale('log')
diff --git a/Modules/Angle.pyc b/Modules/Angle.pyc
index 6ca61eb..9edcd34 100644
Binary files a/Modules/Angle.pyc and b/Modules/Angle.pyc differ
diff --git a/Modules/Constants.pyc b/Modules/Constants.pyc
index 7062e5a..3bd6752 100644
Binary files a/Modules/Constants.pyc and b/Modules/Constants.pyc differ
diff --git a/Modules/Read.pyc b/Modules/Read.pyc
index 5187303..e4d6b42 100644
Binary files a/Modules/Read.pyc and b/Modules/Read.pyc differ
diff --git a/Modules/Spectrum.py b/Modules/Spectrum.py
index 44ff8e1..ef42fd0 100644
--- a/Modules/Spectrum.py
+++ b/Modules/Spectrum.py
@@ -40,10 +40,11 @@ def drawSpectrum(files,all_source_spectrum=False,all_jets=False,PlotAnalytic=Fal
       Output: graph spectrum normalize to 1 source photon
    '''
    fig = figure()
-   gs = gridspec.GridSpec(2, 1, height_ratios=[3,1]) 
-   fig.subplots_adjust(hspace=0.001)
-   ax1 = fig.add_subplot(gs[0])
-   ax2 = fig.add_subplot(gs[1],sharex=ax1)
+   #gs = gridspec.GridSpec(2, 1, height_ratios=[3,1]) 
+   #fig.subplots_adjust(hspace=0.001)
+   #ax1 = fig.add_subplot(gs[0])
+   #ax2 = fig.add_subplot(gs[1],sharex=ax1)
+   ax1 = fig.add_subplot(111)
 
    for fileId in files:
       if all_source_spectrum:
@@ -57,9 +58,9 @@ def drawSpectrum(files,all_source_spectrum=False,all_jets=False,PlotAnalytic=Fal
             ener,flux,flux_0 = ReadSpectrum(fileId,[0,j,j+1])
             ax1.plot(ener,flux,color=p[0].get_color(),drawstyle='steps-mid',label="p=%.1f"%powerlaw_index)
             # primary gamma-rays contribution
-            ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
-            contrib=flux_0/flux
-            ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
+            #ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
+            #contrib=flux_0/flux
+            #ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
             i+=1
             j+=2
       elif all_jets:
@@ -73,23 +74,24 @@ def drawSpectrum(files,all_source_spectrum=False,all_jets=False,PlotAnalytic=Fal
             ener,flux,flux_0 = ReadSpectrum(fileId,[0,j,j+1])
             ax1.plot(ener,flux,color=p[0].get_color(),drawstyle='steps-mid',label=jet_opening)
             # primary gamma-rays contribution
-            ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
-            contrib=flux_0/flux
-            ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
+            #ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
+            #contrib=flux_0/flux
+            #ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
             i+=1
             j+=2
 
       else:
          # read files
-         Es,Fs = ReadSourceSpectrum(fileId,[0,3])
-         p = ax1.plot(Es,Fs,linestyle=':')
+         #Es,Fs = ReadSourceSpectrum(fileId,[0,3])
+         #p = ax1.plot(Es,Fs,linestyle=':')
          # draw full spectrum
          ener,flux,flux_0 = ReadSpectrum(fileId,[0,5,6])
-         ax1.plot(ener,flux,color=p[0].get_color(),drawstyle='steps-mid',label=fileId)
+         ax1.plot(ener,flux,drawstyle='steps-mid')
+         #ax1.plot(ener,flux,color=p[0].get_color(),drawstyle='steps-mid',label=fileId)
          # primary gamma-rays contribution
-         ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
-         contrib=flux_0/flux
-         ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
+         #ax1.plot(ener,flux_0,color=p[0].get_color(),linestyle='--',drawstyle='steps-mid')
+         #contrib=flux_0/flux
+         #ax2.plot(ener,contrib,drawstyle='steps-mid',color=p[0].get_color())
          
    if PlotAnalytic:
       minEner=min(ener)
@@ -97,16 +99,18 @@ def drawSpectrum(files,all_source_spectrum=False,all_jets=False,PlotAnalytic=Fal
       ax1.plot(ener,alpha*sqrt(ener),'--m',linewidth=2)
       ax1.plot(ener,ener**(0)*max(flux)*0.95,'--m',linewidth=2)
       ax1.axvline(x=Ethreshold_gg(), ymin=0., ymax = 1., color='r', linewidth=2)
+      ax1.axvline(x=1e4, ymin=0., ymax = 1., color='g', linewidth=2)
 
    ax1.legend(loc="best")
    ax1.set_xscale('log')
    ax1.set_yscale('log')
    ax1.grid(b=True,which='major')
    ax1.set_ylabel("$E^2 dN/dE$ [GeV]")
-   ax2.set_xscale('log')
-   ax2.grid(b=True,which='major')
-   ax2.set_xlabel("energy [GeV]")
-   xticklabels = ax1.get_xticklabels()
-   setp(xticklabels, visible=False)
+   ax1.set_xlabel("energy [GeV]")
+   #ax2.set_xscale('log')
+   #ax2.grid(b=True,which='major')
+   #ax2.set_xlabel("energy [GeV]")
+   #xticklabels = ax1.get_xticklabels()
+   #setp(xticklabels, visible=False)
 
    show()
diff --git a/Modules/Spectrum.pyc b/Modules/Spectrum.pyc
index 3fbaaae..2593ae4 100644
Binary files a/Modules/Spectrum.pyc and b/Modules/Spectrum.pyc differ
diff --git a/Modules/Timing.py b/Modules/Timing.py
index eb84f1f..d34759b 100644
--- a/Modules/Timing.py
+++ b/Modules/Timing.py
@@ -1,4 +1,4 @@
-from numpy import histogram, log10, shape, arange, pi
+from numpy import histogram, log10, shape, arange, pi, convolve
 from matplotlib.pyplot import figure, show
 from Read import ReadTime, ReadTiming, ReadExtraFile, ReadProfile, ReadEnergy
 from Constants import yr, degre
@@ -11,39 +11,59 @@ def timing(time,weight,nbBins=100):
       Input (optional): generation (default = all)
       Output: time delay (sec), flux
    '''
-   time=time[time>0]
-   weight=weight[time>0]
+   cond = time>0
+   time = time[cond]
+   time=log10(time)
+   weight=weight[cond]
 
-   time = log10(time*yr)
-
-   dN,dt=histogram(time,nbBins,weights=weight)
+   #dN,dt=histogram(time,nbBins,range=[-1,1e17],weights=weight)
+   dN,dt=histogram(time,nbBins,range=[-1,17],weights=weight)
+   dt = 10**dt
    timecenter=(dt[1:nbBins+1]+dt[0:nbBins])/2
    binSize=dt[1:nbBins+1]-dt[0:nbBins]
-   dNdt=dN/(max(dN)*binSize)
+   dNdt=dN/binSize *timecenter
 
-   return 10**timecenter, dNdt
+   return timecenter, dNdt
 
-def drawTiming(files,all_source_spectrum=False,all_jets=False):
+def drawTiming(files,plot_case=0):
    '''
       Plot flux versus time delay
       Input: list of directories
+      plot_case: (0) nothing, (1) all source spectrum, (2) all jets, (3) by energy band, 
+         (4) by generation 
       Output: graph of flux versus time delay 
    '''
    fig = figure()
    ax = fig.add_subplot(111)
    for fileId in files:
-      if all_source_spectrum:
+      if plot_case == 1:
          i=1
          for powerlaw_index in [1,1.5,2,2.5]: 
             delta_t,dNdt = ReadTiming(fileId,[0,i])
             ax.plot(delta_t,dNdt,linestyle="steps-mid",label="p=%.1f"%powerlaw_index)
             i+=1
-      elif all_jets:
+      elif plot_case == 2:
          i=5
          for jet_opening in ["isotrop","60 degre","30 degre"]: 
             delta_t,dNdt = ReadTiming(fileId,[0,i])
             ax.plot(delta_t,dNdt,linestyle="steps-mid",label=jet_opening)
             i+=1
+      elif plot_case == 3:
+         i=8
+         Emin = [1e-3,1e0,1e3] #GeV
+         Emax = [1e0,1e3,1e5] #GeV
+         for n in arange(0,3,1):
+            label = "%1.0e Gev"%Emin[n]+"< $E_\\gamma$ < %1.0e Gev"%Emax[n]
+            delta_t,dNdt = ReadTiming(fileId,[0,i])
+            ax.plot(delta_t,dNdt,linestyle="steps-mid",label=label)
+            i+=1
+      elif plot_case == 4:
+         i=11
+         generation = ReadExtraFile(fileId,[3])
+         for gen in list(set(generation)):
+            delta_t,dNdt = ReadTiming(fileId,[0,i])
+            ax.plot(delta_t,dNdt,linestyle="steps-mid",label="gen=%.0f"%gen)
+            i+=1
       else:
          delta_t,dNdt = ReadTiming(fileId,[0,3])
          ax.plot(delta_t,dNdt,linestyle="steps-mid",label=fileId)
@@ -53,10 +73,40 @@ def drawTiming(files,all_source_spectrum=False,all_jets=False):
    ax.grid(b=True,which='major')
    ax.legend(loc="best")
    ax.set_xlabel("Time delay [s]")
-   ax.set_ylabel("$t\ dN/dt$ [arbitrary units]")
+   ax.set_ylabel("$t.dN/dt$ [arbitrary units]")
+
+   show()
+
+def drawConvolveTiming(files):
+   fig = figure()
+   ax = fig.add_subplot(111)
+   for fileId in files:
+      delta_t,dNdt1 = ReadTiming(fileId,[0,8])  # MeV band
+      delta_t,dNdt2 = ReadTiming(fileId,[0,9])  # GeV band
+      delta_t,dNdt3 = ReadTiming(fileId,[0,10]) # TeV band
+      ax.plot(delta_t,convolve(dNdt1,dNdt2,'same'),linestyle="steps-mid",label="MeV - GeV band")
+      ax.plot(delta_t,convolve(dNdt2,dNdt3,'same'),linestyle="steps-mid",label="GeV - TeV band")
+      ax.plot(delta_t,convolve(dNdt1,dNdt3,'same'),linestyle="steps-mid",label="MeV - TeV band")
+
+   ax.set_xscale('log')
+   ax.set_yscale('log')
+   ax.grid(b=True,which='major')
+   ax.legend(loc="best")
+   ax.set_xlabel("Time delay [s]")
+   ax.set_ylabel("cross correlation [arbitrary units]")
 
    show()
 
+def delay_vs_theta(theta,delay,nbBins=100):
+   cond= (theta!=0)
+   theta=log10(theta[cond])
+   dt,dtheta=histogram(theta,nbBins,weights=delay[cond])
+   dN,dtheta=histogram(theta,nbBins)
+   dtheta=10**dtheta
+   thetacenter=(dtheta[1:nbBins+1]+dtheta[0:nbBins])/2
+   dt=dt/dN
+   return dt, thetacenter
+
 def drawDelay_vs_angle(fileId):
    '''
       Plot angle versus time delay, generation by generation
@@ -67,38 +117,37 @@ def drawDelay_vs_angle(fileId):
    ax = fig.add_subplot(111)
    nbBins = 100
 
-   theta  = ReadExtraFile(fileId,[4])
+   theta  = ReadExtraFile(fileId,[4])*degre
    energy = ReadEnergy(fileId)
    delay  = ReadTime(fileId)
 
-   for n in arange(0,8,2):
-      Emin = 10**(3-n) #GeV
-      Emax = 10**(5-n) #GeV
-      label = "%1.0e Gev"%Emin+"< $E_\\gamma$ < %1.0e Gev"%Emax
-      cond= (energy>Emin) & (energy<Emax)
+   Emin = [1e-3,1e0,1e3] #GeV
+   Emax = [1e0,1e3,1e5] #GeV
+   for n in arange(0,3,1):
+      cond= (energy>Emin[n]) & (energy<Emax[n])
+      if Emin[n]==1e-3:
+         label="MeV band"
+      if Emin[n]==1e0:
+         label="GeV band"
+      if Emin[n]==1e3:
+         label="TeV band"
       ax.plot(theta[cond],delay[cond],".",label=label)
 
-   cond= (theta!=0)
-   theta=log10(theta[cond])
-   dt,dtheta=histogram(theta,nbBins,weights=delay[cond])
-   dN,dtheta=histogram(theta,nbBins)
-   dtheta=10**dtheta
-   thetacenter=(dtheta[1:nbBins+1]+dtheta[0:nbBins])/2
-   dt=dt/dN
-   ax.plot(thetacenter,dt,color='m',linestyle="steps-mid",linewidth=2)
+   dt,angle=delay_vs_theta(theta,delay,nbBins)
+   ax.plot(angle,dt,color='m',linestyle="steps-mid",linewidth=2)
 
    thmin = 1.e-8
    thmax = pi/2.
    nth = 1000
    th = thmin*(thmax/thmin)**(arange(nth)/(nth-1.))
    delay_fit = Analytic_delay_vs_theta(th,fileId)
-   ax.plot(th,delay_fit,'--k',linewidth=2)
+   ax.plot(th*degre,delay_fit,'--k',linewidth=2)
 
    ax.set_xscale('log')
    ax.set_yscale('log')
    ax.grid(b=True,which='major')
    ax.legend(loc="best")
-   ax.set_xlabel("$\\theta $[rad]")
+   ax.set_xlabel("$\\theta$ [deg]")
    ax.set_ylabel("Time delay [s]")
 
    show()
diff --git a/Modules/Timing.pyc b/Modules/Timing.pyc
index 2560c63..cee1f9d 100644
Binary files a/Modules/Timing.pyc and b/Modules/Timing.pyc differ
diff --git a/lambda_e.dat b/lambda_e.dat
new file mode 100644
index 0000000..860014c
--- /dev/null
+++ b/lambda_e.dat
@@ -0,0 +1,200 @@
+   20269.269131483430        9.7156034880801394E+085   9.7156034880801394E+085   9.7156034880801394E+085   9.7156034880801394E+085   9.7156034880801394E+085   9.7156034880801407E+085   9.7156034880801407E+085   9.7156034880801407E+085   9.7156034880801407E+085   9.7156034880801407E+085
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+   15375813025.374584        1.0059556820641538E-002   3.6837832982946918E-003   1.8383011153547877E-003   7.0365266953609641E-004   3.5995099114262451E-004   1.0059580890480610E-002   3.6837871945685214E-003   1.8383023586183813E-003   7.0365295930761439E-004   3.5995110132787259E-004
+   16475480490.412716        1.0404518457245637E-002   3.8306706884843663E-003   1.9173561294583319E-003   7.3640051249125767E-004   3.7743291910785214E-004   1.0404543820952374E-002   3.8306748501790839E-003   1.9173574676424286E-003   7.3640082710959513E-004   3.7743303933943350E-004
+   17653795408.542770        1.0772403970315626E-002   3.9865126172001324E-003   2.0010937580830432E-003   7.7105496595754493E-004   3.9592946316893755E-004   1.0772430765796183E-002   3.9865170710220226E-003   2.0010952007701115E-003   7.7105530798871232E-004   3.9592959450409645E-004
+   18916382590.968597        1.1164779137167766E-002   4.1518557995055411E-003   2.0897889374053400E-003   8.0772619485281957E-004   4.1549969877083693E-004   1.1164807521243146E-002   4.1518605755207624E-003   2.0897904953061965E-003   8.0772656714934163E-004   4.1549984238385776E-004
--
libgit2 0.21.2