diff --git a/simpegPF/Dev/GRAV/ActiveCells.dat b/simpegPF/Dev/GRAV/ActiveCells.dat
new file mode 100644
index 00000000..90eeca04
--- /dev/null
+++ b/simpegPF/Dev/GRAV/ActiveCells.dat
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diff --git a/simpegPF/Dev/GRAV/Figure1_3.0.png b/simpegPF/Dev/GRAV/Figure1_3.0.png
deleted file mode 100644
index acbb467d..00000000
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diff --git a/simpegPF/Dev/GRAV/Figure2_3.0.png b/simpegPF/Dev/GRAV/Figure2_3.0.png
deleted file mode 100644
index f287e2fc..00000000
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diff --git a/simpegPF/Dev/GRAV/Figure3_3.0_0.01_0.001.png b/simpegPF/Dev/GRAV/Figure3_3.0_0.01_0.001.png
deleted file mode 100644
index 26bd7442..00000000
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diff --git a/simpegPF/Dev/GRAV/Figure4.png b/simpegPF/Dev/GRAV/Figure4.png
deleted file mode 100644
index fbe8881e..00000000
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diff --git a/simpegPF/Dev/GRAV/Figure5_3.0_0.01_0.001.png b/simpegPF/Dev/GRAV/Figure5_3.0_0.01_0.001.png
deleted file mode 100644
index 9293c4a5..00000000
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diff --git a/simpegPF/Dev/GRAV/Figure6_3.0_0.01_0.001.png b/simpegPF/Dev/GRAV/Figure6_3.0_0.01_0.001.png
deleted file mode 100644
index e8391b0e..00000000
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diff --git a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver.py b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver.py
index 8a2df812..32c61ec0 100644
--- a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver.py
+++ b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver.py
@@ -6,7 +6,7 @@ import os
 home_dir = '.'
 
 #inpfile = 'PYGRAV3D_inv.inp'
-
+dsep = '\\'
 dsep = os.path.sep
 plt.close('all')
 
@@ -17,7 +17,7 @@ vmax = 0.3
 #%%
 # Read input file
 #[mshfile, obsfile, topofile, mstart, mref, wgtfile, chi, alphas, bounds, lpnorms] = PF.Gravity.read_GRAVinv_inp(home_dir + dsep + inpfile)
-driver = PF.GravityDriver.GravityDriver_Inv('PYGRAV3D_inv.inp')
+driver = PF.GravityDriver.GravityDriver_Inv(home_dir + dsep + 'PYGRAV3D_inv.inp')
 mesh = driver.mesh
 survey = driver.survey
 
@@ -33,8 +33,12 @@ nC = len(actv)
 # Create active map to go from reduce set to full
 actvMap = Maps.InjectActiveCells(mesh, actv, -100)
 
-# Create reduced identity map
-idenMap = Maps.IdentityMap(nP=nC)
+# Create static map
+static = driver.staticCells
+dynamic = driver.dynamicCells
+
+staticCells = Maps.InjectActiveCells(None, dynamic, driver.m0[static], nC=nC)
+mstart = driver.m0[dynamic]
 
 
 # Get index of the center
@@ -46,13 +50,13 @@ midy = int(mesh.nCy/2)
 PF.Gravity.plot_obs_2D(survey,'Observed Data')
 
 #%% Run inversion
-prob = PF.Gravity.GravityIntegral(mesh, mapping = idenMap, actInd = actv)
+prob = PF.Gravity.GravityIntegral(mesh, mapping = staticCells, actInd = actv)
 prob.solverOpts['accuracyTol'] = 1e-4
 
 survey.pair(prob)
 
 # Write out the predicted file and generate the forward operator
-pred = prob.fields(driver.m0)
+pred = prob.fields(mstart)
 
 PF.Gravity.writeUBCobs(home_dir + dsep + 'Pred0.dat',survey,pred)
 
@@ -81,60 +85,57 @@ else:
 
 #%% Create inversion objects
 
-reg = Regularization.Sparse(mesh, indActive=actv, mapping=idenMap)
-reg.mref = driver.mref
+reg = Regularization.Sparse(mesh, indActive=actv, mapping=staticCells)
+reg.mref = driver.mref[dynamic]
 reg.cell_weights = wr*mesh.vol[actv]
     
 
-opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=-2.,upper=2., maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
+opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=driver.bounds[0],upper=driver.bounds[1], maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
 dmis = DataMisfit.l2_DataMisfit(survey)
 dmis.Wd = 1./wd
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 #beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=1)
 #update_beta = Directives.Scale_Beta(tol = 0.05, coolingRate=5)
 betaest = Directives.BetaEstimate_ByEig()
-IRLS = Directives.Update_IRLS( norms=driver.lpnorms,  eps_p=driver.eps[0], eps_q=driver.eps[1], f_min_change = 1e-2)
+IRLS = Directives.Update_IRLS( norms=driver.lpnorms,  eps=driver.eps, f_min_change = 1e-4, minGNiter=3)
 update_Jacobi = Directives.Update_lin_PreCond()
 inv = Inversion.BaseInversion(invProb, directiveList=[IRLS,betaest,update_Jacobi])
 
 # Run inversion
-mrec = inv.run(driver.m0)
-
-m_out = actvMap*mrec
-
-# Write result
-Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l2l2.sus',m_out)
+mrec = inv.run(mstart)
 
 # Plot predicted
 pred = prob.fields(mrec)
 #PF.Magnetics.plot_obs_2D(rxLoc,pred,wd,'Predicted Data')
 #PF.Magnetics.plot_obs_2D(rxLoc,(d-pred),wd,'Residual Data')
-
+survey.dobs = pred
+PF.Gravity.plot_obs_2D(survey,'Observed Data')
 print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) ) 
 
 #%% Plot out a section of the model
 
 yslice = midx
 
-
-m_out = actvMap*reg.l2model
-m_out[m_out==-100] = np.nan
+m_out = actvMap*staticCells*reg.l2model
 
 # Write result
-Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l2l2.sus',m_out)
+Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l2l2.den',m_out)
+
+# Nan aircells for plotting
+m_out[m_out==-100] = np.nan
 
 plt.figure()
 ax = plt.subplot(221)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-10, clim = (mrec.min(), mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-5]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(222)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-15, clim = (mrec.min(), mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
-plt.title('Z: ' + str(mesh.vectorCCz[-8]) + ' m')
+plt.title('Z: ' + str(mesh.vectorCCz[-15]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
@@ -151,7 +152,7 @@ plt.hist(reg.l2model,100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model values - Smooth')
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*reg.l2model,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*reg.l2model),100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model gradient values - Smooth')
 
@@ -159,19 +160,22 @@ plt.title('Histogram of model gradient values - Smooth')
 
 yslice = midx
 
-m_out = actvMap*mrec
+m_out = actvMap*staticCells*mrec
+# Write result
+Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_lplq.den',m_out)
+
 m_out[m_out==-100] = np.nan
 
 plt.figure()
 ax = plt.subplot(221)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-10, clim = (mrec.min(), mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-5]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(222)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-15, clim = (mrec.min(), mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-8]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
@@ -189,7 +193,7 @@ plt.hist(mrec,100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model values - Compact')
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*mrec,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*mrec),100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model gradient values - Compact')
 
diff --git a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_Craig.py b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_Craig.py
index 7784d070..87d4ca21 100644
--- a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_Craig.py
+++ b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_Craig.py
@@ -9,7 +9,7 @@ import numpy as np
 #home_dir = 'C:\Egnyte\Private\craigm\PHD\LdM\Gravity\Bouguer\SIMPEG\models\\all_models\\density_-1.2_0.3'
 home_dir = '.\\'
 
-inpfile = 'PYGRAV3D_inv_LdM_Craig.inp'
+inpfile = 'PYGRAV3D_inv.inp'
 #inpfile = 'PYGRAV3D_inv_checkerboard.inp'
 
 dsep = '\\'
@@ -21,8 +21,8 @@ plt.close('all')
 beta_in = 1e-2
 
 # Plotting parameter
-vmin = -1.2
-vmax = 1.2
+vmin = -0.1
+vmax = 0.5
 
 #weight exponent for default weighting
 wgtexp = 3.  #dont forget the "."
@@ -35,18 +35,24 @@ survey = driver.survey
 rxLoc = survey.srcField.rxList[0].locs
 d = survey.dobs
 wd = survey.std
-    
+
 ndata = survey.srcField.rxList[0].locs.shape[0]
 
-actv = driver.activeCells
-nC = len(actv)
+active = driver.activeCells
+nC = len(active)
 
 # Create active map to go from reduce set to full
-actvMap = Maps.InjectActiveCells(mesh, actv, -100)
+activeMap = Maps.InjectActiveCells(mesh, active, -100)
+
+# Create static map
+static = driver.staticCells
+dynamic = driver.dynamicCells
+
+staticCells = Maps.InjectActiveCells(None, dynamic, driver.m0[static], nC=nC)
+mstart = driver.m0[dynamic]
 
 # Create reduced identity map
-idenMap = Maps.IdentityMap(nP=nC)
-
+#idenMap = Maps.IdentityMap(nP=nC)
 
 # Get index of the center
 midx = int(mesh.nCx/2)
@@ -57,29 +63,29 @@ midy = int(mesh.nCy/2)
 #PF.Gravity.plot_obs_2D(survey,'Observed Data')
 
 #%% Run inversion
-prob = PF.Gravity.GravityIntegral(mesh, mapping = idenMap, actInd = actv)
+prob = PF.Gravity.GravityIntegral(mesh, mapping = staticCells, actInd = active)
 prob.solverOpts['accuracyTol'] = 1e-4
 
 survey.pair(prob)
 
 # Write out the predicted file and generate the forward operator
-pred = prob.fields(driver.m0)
+pred = prob.fields(mstart)
 
 # Load weighting  file
-if driver.wgtfile == 'DEFAULT':   
-    wr = PF.Magnetics.get_dist_wgt(mesh, rxLoc, actv, wgtexp, np.min(mesh.hx)/4.)
+if driver.wgtfile == 'DEFAULT':
+    wr = PF.Magnetics.get_dist_wgt(mesh, rxLoc, active, wgtexp, np.min(mesh.hx)/4.)
     wr = wr**2.
 else:
-    wr = Mesh.TensorMesh.readModelUBC(mesh, home_dir + dsep + wgtfile)   
-    wr = wr[actv]
+    wr = Mesh.TensorMesh.readModelUBC(mesh, home_dir + dsep + wgtfile)
+    wr = wr[active]
     wr = wr**2.
-    
+
 
 
 #%% Plot depth weighting
 plt.figure()
 ax = plt.subplot(211)
-datwgt=mesh.plotSlice(actvMap*wr, ax = ax, normal = 'Y', ind=midx+1 ,clim = (-1e-1, wr.max()), pcolorOpts={'cmap':'jet'})
+datwgt=mesh.plotSlice(activeMap*wr, ax = ax, normal = 'Y', ind=midx+1 ,clim = (-1e-1, wr.max()), pcolorOpts={'cmap':'jet'})
 plt.title('Distance weighting')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
@@ -95,10 +101,10 @@ plt.savefig(home_dir + dsep + 'Weighting_' +str(wgtexp) +'.png', dpi=300)
 
 #%% Create inversion objects
 
-reg = Regularization.Sparse(mesh, indActive=actv, mapping=idenMap)
-reg.mref = driver.mref
-reg.cell_weights = wr*mesh.vol[actv]
-eps_p = driver.eps[0]  
+reg = Regularization.Sparse(mesh, indActive = active, mapping = staticCells)
+reg.mref = driver.mref[dynamic]
+reg.cell_weights = wr*mesh.vol[active]
+eps_p = driver.eps[0]
 eps_q = driver.eps[1]
 
 opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=-2.,upper=2., maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
@@ -108,14 +114,14 @@ invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 #beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=1)
 #update_beta = Directives.Scale_Beta(tol = 0.05, coolingRate=5)
 betaest = Directives.BetaEstimate_ByEig()
-IRLS = Directives.Update_IRLS( norms=driver.lpnorms,  eps_p=eps_p, eps_q=eps_q, f_min_change = 1e-2)
+IRLS = Directives.Update_IRLS( norms=driver.lpnorms,  eps=driver.eps, f_min_change = 1e-2)
 update_Jacobi = Directives.Update_lin_PreCond()
 inv = Inversion.BaseInversion(invProb, directiveList=[IRLS,betaest,update_Jacobi])
 
 # Run inversion
-mrec = inv.run(driver.m0)
+mrec = inv.run(mstart)
 
-m_out = actvMap*reg.l2model
+m_out = activeMap*staticCells*reg.l2model
 
 
 # Write result
@@ -134,7 +140,7 @@ pred = prob.fields(mrec)
 #PF.Magnetics.plot_obs_2D(rxLoc,pred,wd,'Predicted Data')
 #PF.Magnetics.plot_obs_2D(rxLoc,(d-pred),wd,'Residual Data')
 
-print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) ) 
+print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) )
 print "Misfit sum(obs-calc)/nobs: %.3f mGal"  %np.divide(np.sum(np.abs(d-pred)), len(d))
 print "RMS misfit: %.3f mGal" %np.sqrt(np.divide(np.sum((d-pred)**2),len(d)))
 
@@ -187,7 +193,7 @@ plt.xlabel('Density (g/cc$^3$)')
 plt.title('Histogram of model values - Smooth')
 
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*reg.l2model,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*reg.l2model),100)
 plt.yscale('log', nonposy='clip')
 plt.xlim(reg.l2model.mean() - 2.*(reg.l2model.std()), reg.l2model.mean() + 2.*(reg.l2model.std()))
 plt.xlabel('Density (g/cc$^3$)')
@@ -201,18 +207,18 @@ PF.Magnetics.plot_obs_2D(rxLoc,pred_compact,'Predicted Data', vmin = np.min(d),
 plt.savefig(home_dir + str('\Figure3_' +str(wgtexp) + '_' + str(eps_p) + '_' + str(eps_q) +'.png'), dpi=300, bb_inches='tight')
 PF.Magnetics.plot_obs_2D(rxLoc,d,'Observed Data')
 plt.savefig(home_dir + str('\Figure4.png'), dpi=300, bb_inches='tight')
-print "\nFinal misfit:" + str(np.sum( ((d-pred_compact)/wd)**2. ) ) 
+print "\nFinal misfit:" + str(np.sum( ((d-pred_compact)/wd)**2. ) )
 print "Misfit sum(obs-calc)/nobs: %.3f mGal"  %np.divide(np.sum(np.abs(d-pred_compact)), len(d))
 print "RMS misfit: %.3f mGal" %np.sqrt(np.divide(np.sum((d-pred_compact)**2),len(d)))
 
 
 
 #%% Plot out a section of the compact model
-m_out = actvMap*mrec
+m_out = activeMap*staticCells*mrec
 
 Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l0l2_' +str(wgtexp) + '_' + str(eps_p) + '_' + str(eps_q) +'.den',m_out)
 
-yslice = midx
+yslice = midx+1
 m_out[m_out==-100]=np.nan # set "air" to nan
 
 print "\nMax density:" + str(np.nanmax(m_out))
@@ -260,7 +266,7 @@ plt.xlabel('Density (g/cc$^3$)')
 plt.title('Histogram of model values - Sparse lp:'+str(driver.lpnorms[0]))
 
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*mrec,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*mrec),100)
 
 #plt.xlim(mrec.mean() - 4.*(mrec.std()), mrec.mean() + 4.*(mrec.std()))
 plt.xlabel('Density (g/cc$^3$)')
@@ -272,4 +278,4 @@ plt.savefig(home_dir + str('\Figure6_' +str(wgtexp) + '_' + str(eps_p) + '_' + s
 plt.figure(figsize=(10,8))
 residual = d - pred_compact
 plt.hist(residual, 100)
-plt.savefig(home_dir + str('\Figure7_residuals.png'), dpi=300, bb_inches='tight')
\ No newline at end of file
+plt.savefig(home_dir + str('\Figure7_residuals.png'), dpi=300, bb_inches='tight')
diff --git a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_surface_layer_fixed.py b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_surface_layer_fixed.py
index 0326157b..399e067b 100644
--- a/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_surface_layer_fixed.py
+++ b/simpegPF/Dev/GRAV/Intgrl_GRAV_Inv_Driver_LdM_surface_layer_fixed.py
@@ -7,9 +7,9 @@ import numpy as np
 
 
 
-home_dir = 'C:\Egnyte\Private\craigm\PHD\LdM\Gravity\Bouguer\SIMPEG\models\surface_layer_model_-500'
+home_dir = '.\\'
 
-inpfile = 'PYGRAV3D_inv_LdM_surface_layer_fixed.inp'
+inpfile = 'PYGRAV3D_inv.inp'
 
 dsep = '\\'
 os.chdir(home_dir)
@@ -35,57 +35,24 @@ wgtexp = 3.  #dont forget the "."
 fixedcell = -0.5
 
 #%%
-# Read input file
-[mshfile, obsfile, topofile, mstart, mref, wgtfile, chi, alphas, bounds, lpnorms] = PF.Gravity.read_GRAVinv_inp(home_dir + dsep + inpfile)
+driver = PF.GravityDriver.GravityDriver_Inv(home_dir + dsep + 'PYGRAV3D_inv.inp')
+mesh = driver.mesh
+survey = driver.survey
 
-# Load mesh file
-mesh = Mesh.TensorMesh.readUBC(mshfile)
-
-# Load in observation file
-survey = PF.Gravity.readUBCgravObs(obsfile)
-
-# Get obs location and data
 rxLoc = survey.srcField.rxList[0].locs
 d = survey.dobs
 wd = survey.std
-
+    
 ndata = survey.srcField.rxList[0].locs.shape[0]
 
-# Load in topofile or create flat surface
-if topofile == 'null':
-    
-    # All active
-    actv = np.asarray(range(mesh.nC))
-    
-else: 
-    
-    topo = np.genfromtxt(topofile,skip_header=1)
-    # Find the active cells
-    actv = PF.Magnetics.getActiveTopo(mesh,topo,'N')
-
+actv = driver.activeCells
 nC = len(actv)
 
 # Create active map to go from reduce set to full
 actvMap = Maps.InjectActiveCells(mesh, actv, -100)
 
-# Creat reduced identity map
-#idenMap = Maps.IdentityMap(nP = nC)
-
-
-# Load starting model file
-if isinstance(mstart, float):
-    
-    mstart = np.ones(nC) * mstart
-else:
-    mstart = Mesh.TensorMesh.readModelUBC(mesh,mstart)
-    mstart = mstart[actv]
-
-# Extract cells under topography and create new index for inactive
-#m0 = Mesh.TensorMesh.readModelUBC(mesh, mstart)
-#m0 = m0[actv]
-ind_act = mstart!= fixedcell
-
-actvCells = Maps.InjectActiveCells(None, ind_act, fixedcell, nC=nC)
+ind_act = driver.staticCells
+staticCells = Maps.InjectActiveCells(None, ind_act, driver.m0[ind_act==False], nC=nC)
 mstart = mstart[ind_act]
 
 
@@ -106,7 +73,7 @@ midy = int(mesh.nCy/2)
 #PF.Gravity.plot_obs_2D(survey,'Observed Data')
 
 #%% Run inversion
-prob = PF.Gravity.GravityIntegral(mesh, mapping = actvCells, actInd = actv)
+prob = PF.Gravity.GravityIntegral(mesh, mapping = staticCells, actInd = actv)
 prob.solverOpts['accuracyTol'] = 1e-4
 
 survey.pair(prob)
@@ -159,7 +126,7 @@ plt.savefig(home_dir + dsep + 'Weighting_' +str(wgtexp) +'.png', dpi=300)
 
 print '\nRun smooth inversion \n'
 # First start with an l2 (smooth model) regularization
-reg = Regularization.Simple(mesh, indActive = actv, mapping = actvCells)
+reg = Regularization.Simple(mesh, indActive = actv, mapping = staticCells)
 reg.mref = mref
 reg.wght = wr
 
@@ -193,7 +160,7 @@ m0 = mstart
 # Run inversion
 mrec = inv.run(m0)
 
-m_out = actvMap*actvCells*mrec
+m_out = actvMap*staticCells*mrec
 
 # Write result
 Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l2l2_' +str(wgtexp) + '.den', m_out)
@@ -258,7 +225,7 @@ plt.xlabel('Density (g/cc$^3$)')
 plt.title('Histogram of model values - Smooth')
 
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*(actvCells*mrec),100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*mrec),100)
 plt.yscale('log', nonposy='clip')
 plt.xlim(mrec.mean() - 2.*(mrec.std()), mrec.mean() + 2.*(mrec.std()))
 plt.xlabel('Density (g/cc$^3$)')
@@ -272,7 +239,7 @@ print '\nRun compact inversion \n'
 phim = invProb.phi_m_last
 phid =  invProb.phi_d
 
-reg = Regularization.Sparse(mesh, indActive = actv, mapping = actvCells)
+reg = Regularization.Sparse(mesh, indActive = actv, mapping = staticCells)
 reg.recModel = mrec
 reg.mref = mref
 reg.wght = wr
@@ -317,7 +284,7 @@ m0 = mrec
 # Run inversion
 mrec = inv.run(m0)
 
-m_out = actvMap*actvCells*mrec
+m_out = actvMap*staticCells*mrec
 
 Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv_l0l2_' +str(wgtexp) + '_' + str(eps_p) + '_' + str(eps_q) +'.den',m_out)
 
@@ -387,7 +354,7 @@ plt.xlabel('Density (g/cc$^3$)')
 plt.title('Histogram of model values - Sparse lp:'+str(lpnorms[0]))
 
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*(actvCells*mrec),100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*mrec),100)
 #plt.xlim(mrec.mean() - 4.*(mrec.std()), mrec.mean() + 4.*(mrec.std()))
 plt.xlabel('Density (g/cc$^3$)')
 plt.yscale('log', nonposy='clip')
diff --git a/simpegPF/Dev/GRAV/ModelStart.den b/simpegPF/Dev/GRAV/ModelStart.den
new file mode 100644
index 00000000..2717f567
--- /dev/null
+++ b/simpegPF/Dev/GRAV/ModelStart.den
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diff --git a/simpegPF/Dev/GRAV/PYGRAV3D_inv.inp b/simpegPF/Dev/GRAV/PYGRAV3D_inv.inp
index f7947918..1ff716c5 100644
--- a/simpegPF/Dev/GRAV/PYGRAV3D_inv.inp
+++ b/simpegPF/Dev/GRAV/PYGRAV3D_inv.inp
@@ -1,11 +1,12 @@
 Mesh_10m.msh			! Mesh file
 Grav.dat			! Obsfile
 Gaussian.topo			! Topofile | null
-VALUE 0.0			! Starting model
+ModelStart.den			! Starting model
 VALUE 0.0			! Reference model
+ActiveCells.dat			! [ Active file (0:Inactive | 1: Active-Dynamic | -1: Active-Static) ] || [ VALUE ### (from starting model) ] || [ DEFAULT (all Active-Dynamic)]
 DEFAULT				! Cell based weight file
 1				! target chi factor | DEFAULT=1
 1 1 1 1			! alpha s, x ,y ,z
 VALUE -1 1		! Lower and Upper Bounds for p-component
 VALUE 0 1 1 1 2		! lp-norm for amplitude inversion FILE pqxqyqzr.dat  ! Norms VALUE p, qx, qy, qz, r | FILE m-by-5 matrix
-VALUE 1e-2 1e-3		! Threshold value for the norm on model and model gradient VALUE eps_p, eps_q | DEFAULT
\ No newline at end of file
+DEFAULT		! Threshold value for the norm on model and model gradient VALUE eps_p, eps_q | DEFAULT
\ No newline at end of file
diff --git a/simpegPF/Dev/GRAV/Pred0.dat b/simpegPF/Dev/GRAV/Pred0.dat
index 4f7214dc..c716bac4 100644
--- a/simpegPF/Dev/GRAV/Pred0.dat
+++ b/simpegPF/Dev/GRAV/Pred0.dat
@@ -1,617 +1,617 @@
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diff --git a/simpegPF/Dev/GRAV/Pred_compact3.0_0.01_0.001.dat b/simpegPF/Dev/GRAV/Pred_compact3.0_0.01_0.001.dat
deleted file mode 100644
index cce15735..00000000
--- a/simpegPF/Dev/GRAV/Pred_compact3.0_0.01_0.001.dat
+++ /dev/null
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diff --git a/simpegPF/Dev/GRAV/SimPEG_inv_l0l2_3.0_0.01_0.001.den b/simpegPF/Dev/GRAV/SimPEG_inv_l0l2_3.0_0.01_0.001.den
deleted file mode 100644
index 0172c4ca..00000000
--- a/simpegPF/Dev/GRAV/SimPEG_inv_l0l2_3.0_0.01_0.001.den
+++ /dev/null
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diff --git a/simpegPF/Dev/GRAV/SimPEG_inv_l2l2.den b/simpegPF/Dev/GRAV/SimPEG_inv_l2l2.den
new file mode 100644
index 00000000..5e028aa4
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diff --git a/simpegPF/Dev/GRAV/SimPEG_inv_l2l2.sus b/simpegPF/Dev/GRAV/SimPEG_inv_l2l2.sus
deleted file mode 100644
index 133ebdf5..00000000
--- a/simpegPF/Dev/GRAV/SimPEG_inv_l2l2.sus
+++ /dev/null
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--3.140061403921382867e-03
--3.230087454306117874e-03
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--3.283757005206770774e-03
--3.115059684038797277e-03
--2.165368916622525692e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.025741152396631967e-03
--3.114280101053929200e-03
--3.087951459744980604e-03
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--2.153600545253889220e-03
--3.198552332214480657e-03
--3.063169587312952313e-03
--2.136065109168067740e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.872256863214915027e-03
--2.964617586005046258e-03
--2.942722459468720062e-03
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--3.082723832386795662e-03
--2.984165529007345302e-03
--2.084556352307407635e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.681938505201153511e-03
--2.778880040452412319e-03
--2.761960157151997514e-03
--2.579111875218301729e-03
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--1.806189445002938723e-03
--2.931825878744534486e-03
--2.873237876182030415e-03
--2.006194310079520426e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.452882424883000723e-03
--2.554521763857026811e-03
--2.543120839196183307e-03
--2.366799902438169925e-03
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--2.741951601381744600e-03
--2.725942165632150652e-03
--1.896590980999411560e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.183776192530503812e-03
--2.290201289127755547e-03
--2.284947790367809241e-03
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--2.509992260876714714e-03
--2.538423714735597251e-03
--1.751805823253683699e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.874915525236097455e-03
--1.986238260341718215e-03
--1.987754867846311738e-03
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--2.233816581618744065e-03
--2.307572178626743093e-03
--1.568473243406841040e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.528504955375925914e-03
--1.644746293002892230e-03
--1.653494181505052018e-03
--1.505306676754389165e-03
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--1.912262570853497795e-03
--2.031032626087935292e-03
--1.343834336758366766e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.148880559620463595e-03
--1.269404783871764392e-03
--1.285418874711542541e-03
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--1.544758151354737579e-03
--1.707059292428881811e-03
--1.075791953762290703e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.395439605761568690e-04
--8.634477279653281429e-04
--8.865010551160161772e-04
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--1.130535964021000834e-03
--1.334820002655878139e-03
--7.639446425410195392e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.998261021880898030e-04
--4.261514047403249612e-04
--4.555865568375033650e-04
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--6.693743358088168754e-04
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--4.154273897585052610e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.809703234227713902e-04
-5.099875319343385310e-05
-1.766515228199207112e-05
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--1.758931967526997900e-04
--4.885562106276225645e-04
--6.522407285634238949e-05
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-6.768371485930640800e-04
-5.563133080927660460e-04
-5.290278149173122894e-04
-6.347832379759023140e-04
-8.982134630744938175e-04
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-2.499808884365895575e-04
--1.594311238661665900e-04
-1.817827295438933025e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.011742875988713795e-03
-9.137950336693971467e-04
-8.830827979378785180e-04
-9.788212459696011853e-04
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-2.451784891162339273e-04
--1.911787899859717309e-04
-1.605121796435166124e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-7.896869171300246494e-04
-7.321492578273781264e-04
-6.002475825746478528e-04
-5.612316500686711281e-04
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--3.102070480033570468e-04
--3.596716494060781671e-04
-2.457986747757906704e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.332505972837871996e-03
-1.155697214518837390e-03
-1.025806947040387935e-03
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-8.366586002864972657e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-2.264551532574091228e-03
-2.063669682111261752e-03
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-8.972822825210309897e-04
-1.065901644055808860e-03
-1.718456538039946297e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-7.192168307538261435e-04
-4.828403393579384570e-04
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-1.713371424746601380e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.294413306140582620e-04
--4.430801602631560647e-05
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--1.271740022355122464e-03
--1.023266865357674946e-03
--4.505912787175718861e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.960841976384526933e-04
--5.620928318768406715e-04
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--9.883739019785652610e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.468468769544609639e-04
--6.054712112758459976e-04
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--1.283926147370295775e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.554420473600733321e-04
--8.036496423798668862e-04
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--1.433566694990499879e-03
--1.648185215603089997e-03
--1.244057517889075610e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.864502076040468446e-04
--1.132944883611226167e-03
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--1.614724643386358837e-03
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--1.294534196396963759e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.394345476908211666e-03
--1.337278686849792658e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.667536745661477721e-03
--1.659626873866009485e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.983597554510893937e-03
--1.971857205949590318e-03
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--1.673148631011948159e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.294150240176763469e-03
--2.269276068743606486e-03
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--2.479852102113709253e-03
--1.766075750549780943e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.586730879082257701e-03
--2.548123654880315569e-03
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--1.833252814840676112e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.858520398429357460e-03
--2.805771868703354349e-03
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--2.697276430225361166e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.108429375533539388e-03
--3.041050641110679739e-03
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--2.768174194463496069e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.335181948195257116e-03
--3.253578734429753583e-03
--3.315167242455352176e-03
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--2.817259471184035708e-03
--1.901195855456389158e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.536854313741139705e-03
--3.443206289486648065e-03
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--2.847599491776364993e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.702658846141822137e-03
--3.607843086100339432e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.620578164756696731e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.695030519151611646e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.807592632985468996e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.925427625036716391e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.032559160738869060e-03
--3.992402952786504138e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.124963525851094159e-03
--4.077124543070999307e-03
--4.197154940142827119e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.202303233756193336e-03
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--2.821614868476326945e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.264818188587495527e-03
--4.207209128391105855e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.312574322683125454e-03
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--2.836384427352117189e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.345274166610335435e-03
--4.285406021147304678e-03
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--3.303818039419080879e-03
--2.851487125165411661e-03
--1.650456939174573846e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.362168497316142729e-03
--4.303680658224226692e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.362397591869466261e-03
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--2.887105706473872511e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.347577759968344370e-03
--4.298029212783320563e-03
--4.420607856138943602e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.331254783126328202e-03
--4.305914014258027146e-03
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--2.905233900839339009e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.341300249112871150e-03
--4.510975511733416460e-03
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--2.895266323541052528e-03
--1.720890855207129165e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.503265508758522509e-03
--4.314579148798516721e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.383364325538571631e-03
--4.187780401271050564e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.203923220109736028e-03
--4.013593190541317295e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.970149655365227438e-03
--3.789418626671331707e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.680181159476415831e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.332438673387650829e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.925329641401084972e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.474838312079914900e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.999004285957126439e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.573376230367795614e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.176632528131315891e-04
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--2.266459197490474134e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.278854007621614031e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-2.324419427268646773e-04
-1.774546500913828646e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.249846369560917074e-05
--5.110521624460286462e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.288965160896614660e-04
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-1.748953660385217570e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.403566565251813706e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.210106608102532961e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.508949409443168632e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.047596119144175171e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.100300686839600188e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.451049023257394753e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.733113228412863594e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.064060510249235165e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.401707838025157402e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--2.726137306950282904e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.945560380191125822e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.180756319931029013e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.439937498563205593e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.676805881968466579e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.889269716589766578e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.056711096294820379e-03
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--2.025799500892047893e-03
--2.627308554082823100e-03
--2.139055287591384684e-03
--1.018674051303723000e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.107061936066874579e-03
--4.277333457532683965e-03
--4.335268354246096627e-03
--4.262111342899541945e-03
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--2.013661172712669610e-03
--2.606998174646173519e-03
--2.085257217590308267e-03
--9.267821159890703630e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.217473659140236544e-03
--4.371397072728967770e-03
--4.442522781137395183e-03
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--2.575172335993170056e-03
--2.023556945830780156e-03
--8.307436506312500463e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.159875522718357692e-03
--4.316987221561842218e-03
--4.479242040995876431e-03
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--2.536552082645675971e-03
--1.958664269712513326e-03
--7.350823586262067140e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.269516444913246112e-03
--4.434142630719275710e-03
--4.586586137437427026e-03
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--2.495611719048580670e-03
--1.894981346312750838e-03
--6.439843412821468632e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.384675096997156171e-03
--4.543649934098458604e-03
--4.683977038262478014e-03
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--2.456372361320307077e-03
--1.836416010132871108e-03
--5.611301142263312638e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.485922456676500261e-03
--4.639404339706152715e-03
--4.769873095575991560e-03
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--2.422218485393695143e-03
--1.786212682129311065e-03
--4.895420468797231223e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.570586515132987228e-03
--4.721056351844464538e-03
--4.845077903357556011e-03
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--2.395736363411049390e-03
--1.746801561664438349e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.638838040853817020e-03
--4.789241366013352076e-03
--4.910586142116563080e-03
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--2.378570769824566063e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.691221795313056490e-03
--4.844541432507721429e-03
--4.967066119746986648e-03
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--1.705225166377857338e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.728279777047236614e-03
--4.887251845883172109e-03
--5.014669624148374721e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.750480401378114406e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.758262006733025677e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.752893382272356353e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.960639567943118076e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.967560905058905629e-03
--5.131618578059773776e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.051991741337237725e-03
--5.111003525475004035e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.973919271725964902e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.816529659049139864e-03
--4.863399217541405917e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.595301682937977424e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.316322358210504702e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.038283183468490550e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.592839683186771060e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.115063763376754984e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.597647004675821599e-03
--2.663024806262477735e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.066940231578457115e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.590015421760310882e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.970100152033615701e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.412412610759023105e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.024916088524507080e-04
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-nan
-nan
-nan
-nan
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-nan
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-nan
-4.718812258628819496e-04
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-1.802124742653182874e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-3.321835738031980452e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.445027517923697252e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.758653670614150941e-04
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--6.918924171171534753e-04
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-nan
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-nan
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-nan
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--9.639625107032368185e-04
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--1.325051516439833222e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.483789659148629477e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.846031792049981760e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.129235911812131617e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.380316094327870998e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.257984151340506326e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.427113085387485571e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.600126066701188777e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.752774155263727610e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.900351468185213506e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.085347198560807143e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.208171296142032905e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.310034706589576693e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.396413397603047765e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.468472040016053214e-03
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-nan
-nan
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-nan
-nan
-nan
--4.527018061130911805e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
--4.572914009800984649e-03
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-nan
-nan
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-nan
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-nan
-nan
--4.607041542992955374e-03
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-nan
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-nan
-nan
-nan
--4.630042969418809995e-03
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-nan
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-nan
--4.640747399938083273e-03
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-nan
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-nan
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-nan
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--4.469938783056934956e-03
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-nan
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-nan
--4.410069943960306590e-03
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-nan
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-nan
--4.310670608650131116e-03
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-nan
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--4.189854157930638853e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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--2.657808901309480394e-03
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-nan
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--2.206565691873708240e-03
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-nan
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--1.720081746133690897e-03
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-nan
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--1.170722285620728800e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.932673503115797357e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.051973259985505726e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.004983902239475105e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-8.985229761261932357e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-2.237132519954863636e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.129499065237565792e-04
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--8.111118573134481992e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.249284326526823528e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.239045574963482240e-03
--1.286956469626256193e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.068498590205989741e-03
--1.145642439544101304e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.367512998238726036e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.779977955594790658e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.155264284124321778e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.415212272348262346e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.790721740232840649e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.166657465945237927e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.519370365724123258e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.737705143090133512e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.951642688627889956e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.051213704444185833e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.250705395933387226e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.442207621959627997e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.615286533302777501e-03
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-nan
-nan
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-nan
-nan
-nan
--4.768243385463328057e-03
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-nan
-nan
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-nan
--4.753108069387165964e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.873014607678555210e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.002377388152471661e-03
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-nan
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-nan
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-nan
--5.116276600139726440e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.211193855728418062e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.286244391667791788e-03
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-nan
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-nan
-nan
-nan
--5.342008287088532287e-03
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-nan
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--5.380501126373496076e-03
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-nan
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--5.405168350910287065e-03
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-nan
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-nan
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-nan
--5.430224655573633562e-03
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.597257926158866193e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.526609723671727613e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.418572278562478611e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.416750091043451981e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.200286995431177735e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.767631404431676122e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.257273169709823238e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.685345073554215697e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.080354291700236440e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.604683731228216864e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.836363119874749377e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.152798986108508235e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.193618571192216028e-04
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
--8.148037724752781995e-04
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-nan
-nan
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-nan
-6.173492920969734545e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-2.117978915672093232e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.069045257226777084e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.120544181592829109e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.692060908717138434e-03
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-nan
-nan
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-nan
-nan
--1.568049107921529097e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
--1.919369608325636588e-03
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-nan
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-nan
--2.392416723043536576e-03
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-nan
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--2.724685766725975372e-03
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-nan
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--3.179011489682900381e-03
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-nan
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-nan
--3.647001094153865235e-03
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-nan
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--4.085981619289639349e-03
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-nan
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--4.424805681153400581e-03
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-nan
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--4.555902646794205563e-03
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-nan
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--4.835827407027498519e-03
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-nan
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--5.094302528370044970e-03
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-nan
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--5.339274436015579300e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--6.187741288327814823e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.303514899272941348e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.399094286848037647e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.474044056215953746e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.532188411790668808e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.582608189711691010e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.625176578896075155e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.698307838394142004e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.983774716144286986e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.055203458035856981e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.075757679143134318e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.196935512412643357e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.106543469337892223e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.935185699420969886e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.664759091914451011e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.555318149809983078e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.808898349539163078e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--5.090532936410705964e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
--4.299379627139207627e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
--3.497385966625728235e-03
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-nan
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-nan
--2.850087322872833784e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--1.859646307400649812e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--1.097237800591081749e-03
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-nan
-nan
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-nan
-nan
--1.381881755502972851e-03
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-nan
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-1.494209035981429673e-04
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.550976478367435074e-04
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-nan
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-nan
--1.678535139896217753e-03
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-nan
-nan
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-nan
-nan
-nan
--2.091859665668162251e-03
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-nan
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--2.102675983128371277e-03
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-nan
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--2.513238537202717310e-03
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-nan
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--2.926760203642590676e-03
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-nan
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-nan
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-nan
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--4.592342449595237901e-03
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.960159455398976867e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.558514526384949531e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.551481171103894482e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.002394314280200632e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.639564659733758589e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.311165885253165526e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.953439525578497843e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.474910396769961871e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.698050308535489335e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--1.015439870882572232e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.037264641354995916e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.054762837247980901e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.092980237512165137e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.085386841159867791e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.037822792229381973e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.750837076719214361e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.287275481588218307e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.568630698390839753e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.220190864676976295e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.865516950012573234e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.585692234875753961e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.574029883555636021e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.375555417452427341e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.246403051875471027e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.278076914465234174e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.226098694501219239e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.445209561035911142e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.049803508850867494e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.096443293956312789e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.674862024824485443e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--4.410946933431256559e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.136400484729553538e-03
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-nan
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--5.663862620694041713e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.903937600707515575e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.271281029548880781e-03
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-nan
-nan
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-nan
-nan
-nan
--6.669667817184737196e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
--7.224450959217338687e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--9.552449426887814343e-03
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-nan
-nan
-nan
-nan
-nan
--9.683131957341006152e-03
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-nan
-nan
-nan
-nan
-nan
--9.780684897879003345e-03
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-nan
-nan
-nan
-nan
-nan
--9.884270278094284268e-03
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-nan
-nan
-nan
-nan
-nan
--9.970671948116746966e-03
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-nan
-nan
-nan
-nan
-nan
--1.002232503022209252e-02
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-nan
-nan
-nan
-nan
-nan
--1.012193085931924544e-02
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-nan
-nan
-nan
-nan
-nan
--1.043657732494730761e-02
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-nan
-nan
-nan
-nan
-nan
--1.058944367130563481e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.184296147728285814e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.215198007610435692e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.243398577207957545e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.284461336878160026e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.269116446305978106e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.196072907611113456e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.101469519703003087e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.022818269671175832e-02
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-nan
-nan
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-nan
-nan
-nan
--7.941403604353618889e-03
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-nan
-nan
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-nan
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-nan
-nan
--6.239768549176575446e-03
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-nan
-nan
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-nan
-nan
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-nan
-nan
--4.626000570439485482e-03
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-nan
-nan
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-nan
-nan
-nan
--3.327329426126122199e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--3.001861624363149055e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
--1.708307616587390141e-03
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-nan
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-1.082340894699088899e-03
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
--1.539183045045339378e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--2.863910893278217781e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--3.539364578926232179e-03
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-nan
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--3.750230789240604958e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
--4.383587002675474846e-03
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
--5.149107001102192112e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
--5.655397190605051215e-03
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-nan
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--5.870935258118669536e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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--1.324452322074299963e-02
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-nan
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--1.367084806028778105e-02
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-8.979394999634097638e-03
-nan
-nan
-nan
-nan
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-8.919305472151110512e-03
-nan
-nan
-nan
-nan
--9.104010005053179283e-03
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-8.788357913324249676e-03
-nan
-nan
-nan
-nan
--8.986241498868983296e-03
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-nan
-nan
-nan
-nan
-nan
--1.086531666673250587e-02
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-nan
-nan
-nan
-nan
-nan
--1.110133219148592629e-02
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-nan
-nan
-nan
-nan
-nan
--1.128274022141771346e-02
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-nan
-nan
-nan
-nan
-nan
--1.145771493653982738e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.417671740402333055e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.470507045526051396e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.506216092836897003e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.535877335549521924e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.515184134365934326e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.367417689540889950e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.182388710401690267e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.013645872786830826e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.976542186960318394e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.050611969846655232e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.791012576698158720e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.490037357310992058e-03
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-nan
-nan
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-nan
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-nan
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-nan
-8.851524143706912410e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.082236958441500106e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.617717783680058675e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.365872408536179521e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.873436464066631564e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.420404894318467566e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.640950959067446598e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.734157183806441564e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.594528227589113008e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.930496601771376122e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.178467727836511492e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.631362045229097356e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.278848980139708158e-03
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-nan
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-nan
-nan
--4.918972808145165992e-03
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-nan
-nan
-nan
-nan
-nan
--5.734548864698362294e-03
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-nan
-nan
-nan
-nan
-nan
--6.509264196293367694e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
--8.767449722331106463e-03
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-nan
-nan
-nan
-nan
--8.542572105745221619e-03
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-nan
-nan
-nan
-nan
-nan
--1.065070443012841594e-02
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-nan
-nan
-nan
-nan
-nan
--1.078033770933524080e-02
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-nan
-nan
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-nan
-nan
--1.100485709057258919e-02
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-nan
-nan
-nan
-nan
-nan
--1.112084697093120890e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.467647698682230002e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.534958857796735708e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.577846589415074843e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.602750932446705273e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.545300952158343635e-02
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-nan
-nan
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-nan
--1.339853916297469028e-02
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-nan
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-nan
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-nan
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--8.933837889514696304e-03
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-nan
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--5.813775192589827959e-03
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-nan
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--5.225348153625315913e-03
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-nan
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-nan
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-9.228846200396358546e-04
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--1.063690249170923252e-02
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-nan
-nan
-nan
-nan
-nan
--1.079619921532051427e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.515068863520245036e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.601854633041591147e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.647017954728617964e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.653780956243532455e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.484835342671716150e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.217699409163860991e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.705305932415047090e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.401659591416045993e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.077464279115785805e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.464750888204800434e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.196216303269215304e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.088945867284288757e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.507539105050104564e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.838892547770164337e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.958363196546621367e-03
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-nan
-nan
-nan
-nan
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-nan
--5.632530198658995679e-03
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-nan
-nan
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-nan
-nan
-nan
--3.421730096486572635e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.129878082383142409e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
--5.687558272491362484e-03
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-nan
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-nan
-nan
--2.593093566521333191e-03
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-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
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-nan
--2.582080025477407996e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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--4.403642896921064476e-03
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-nan
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-nan
-nan
-nan
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--5.386694450616468649e-03
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-nan
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--5.774973829673424666e-03
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.329334499181977720e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
--6.696339447965336637e-03
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--2.610121488594006368e-03
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
--5.313083313996391083e-03
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
--5.934202048279576050e-03
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-nan
-nan
-nan
-nan
--1.099562697672091388e-02
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-nan
-nan
-nan
-nan
-nan
--1.614512246305222984e-02
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--1.549829139744407849e-02
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--7.099260667255688668e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.389174271335492275e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.369836290482198356e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-2.779480550286785728e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-5.629714185193181175e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.899770741813616671e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.894056096073215262e-03
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-nan
-nan
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--5.164879217569452730e-03
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-nan
-nan
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-nan
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--6.085616730022091678e-03
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
--5.139666746009225948e-03
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-nan
--2.495640543990555217e-03
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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--3.524540021982408566e-03
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-3.683614642192272002e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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--1.676735907186734315e-03
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--2.175808890323970360e-03
--2.252729147084660613e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.770391152802806560e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.552134133712612399e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.177972781842060189e-03
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--6.861413940190876776e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--8.422072569519094276e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--9.427811941412341662e-03
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-nan
-nan
-nan
-nan
-nan
--8.963173442337584590e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.569833659728142462e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.816951111868070234e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.742128869428759011e-03
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--9.700866706819990387e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--3.976560945766330346e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.798722650858189429e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.414166394648280818e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.191158337736034793e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.550683070564193210e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.245049967125789088e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.269376192470719186e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.049800593258020873e-02
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
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--2.199774727520116893e-03
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-nan
-nan
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-nan
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-nan
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-nan
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--6.779719418895368069e-03
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-nan
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--7.478851491479351042e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
--6.448087308718691152e-03
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-nan
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-nan
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-nan
--4.831525577122113696e-03
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-nan
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-nan
-nan
--1.778213263114720609e-03
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-nan
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-nan
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-nan
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-nan
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--4.789517163753967931e-03
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-nan
-nan
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--5.410826045878455205e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
--6.503707946305596448e-03
--7.297524925768437282e-03
--8.875291091121563850e-03
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-nan
-nan
-nan
-nan
-nan
--6.541234180216575975e-03
--7.146948884029336035e-03
--9.118891441825382332e-03
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-nan
-nan
-nan
-nan
-nan
--7.082813669665616665e-03
--7.540045905901902532e-03
--9.461462504161332818e-03
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-3.303289386594389365e-03
-6.055364936257598071e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--8.203497384581698651e-03
--1.005154611129025106e-02
--1.245503650233672523e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--8.902278220506269074e-03
--1.071650489374463902e-02
--1.326274352821579794e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--9.717527613628287181e-03
--1.169131644227036984e-02
--1.406046862618632806e-02
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-nan
-nan
-nan
-nan
-nan
-nan
--1.118646063642589512e-02
--1.284410945257282929e-02
--1.467144262513805052e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.370327864421621959e-02
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--1.505975388009238303e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.329964867219772702e-02
--1.379362233453969994e-02
--1.369783710206061954e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.191890975902100760e-02
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--1.163559291778527675e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.013907163455634274e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.993598583334799043e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.756052185717864048e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.985095337545342047e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-7.110247443394550771e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.825274462815097655e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.326570461090955395e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.114252300354845696e-03
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--4.342538921139541333e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.596676240079650665e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.967505853337415150e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.050568607478254382e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.402539143836290966e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.738327804181294074e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.232700871839406881e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--1.485732004471836554e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--1.851095873164692544e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--2.775382170801022480e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.800674013913649292e-03
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-nan
-nan
-nan
-nan
-nan
--4.128782417397842096e-03
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-nan
-nan
-nan
-nan
-nan
--4.514733825248871783e-03
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-nan
-nan
-nan
-nan
-nan
--4.950589088942006569e-03
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-nan
-nan
-nan
-nan
-nan
--5.287507304843872685e-03
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-nan
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-nan
-nan
--4.355351993195944252e-03
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-nan
-nan
-nan
-nan
--4.585747959311783049e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
--4.968187703155190101e-03
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-nan
-nan
-nan
-nan
--4.910147826037393991e-03
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-nan
-nan
-nan
-nan
--5.093516966842587083e-03
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-nan
-nan
-nan
-nan
--5.083290575939237131e-03
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-nan
-nan
-nan
-nan
--5.042942933700789339e-03
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-nan
-nan
-nan
-nan
-nan
--5.593117128651296961e-03
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-nan
-nan
-nan
-nan
-nan
--5.258647613960099748e-03
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-nan
-nan
-nan
-nan
-nan
--4.892274943915879762e-03
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-nan
-nan
-nan
-nan
-nan
--4.936373863359725701e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.836881307061648171e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.152399237183183919e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.511716870849951037e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.288529464131564967e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.137771624433754972e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.227386305885034244e-02
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-nan
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-nan
-nan
-nan
-nan
-nan
--1.228719083133429993e-02
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-nan
-nan
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-nan
-nan
-nan
-nan
--1.162528673087420694e-02
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-nan
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-nan
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-nan
--9.209469496004270284e-03
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
--6.925474583134451356e-03
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-nan
-nan
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-nan
--5.780073650047771842e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.241088000457034626e-03
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-nan
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-nan
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-3.271583403847552404e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.633432691276768232e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--3.025162128983422110e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
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--3.795853844465672811e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.325991710898389152e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.585366191057250324e-03
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-nan
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-nan
--4.551389230768070754e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.041647363389962798e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.127114560351624023e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.161478303089617976e-02
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--5.045019203161148474e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.058952947497321558e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.631062605545993666e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.821530580285668603e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.114232762686569955e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.288765065177235054e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-8.130896922265828247e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.410013280268166856e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.705679204173749419e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.423849831293951720e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.957859645862402825e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.232376054948701338e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.335096948367433284e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.096247942847500503e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.293031220914691984e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.076195023157949814e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.075242473502244937e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.373876406145865661e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--2.088012052119860278e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--2.906750178652451385e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.775250099378701409e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.516120272069408005e-03
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--5.312156821484678194e-03
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-nan
-nan
-nan
-nan
-nan
--5.087630797466715163e-03
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-nan
-nan
-nan
-nan
-nan
--4.758422462547491627e-03
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-nan
-nan
-nan
-nan
-nan
--4.308514069419396714e-03
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-nan
-nan
-nan
-nan
-nan
--3.903950157458989205e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.173447883935131109e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.931781510984689990e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.677460547584479968e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--4.500939816079838063e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.979548374219793544e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.017772451418999691e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.966999002959905582e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.068741460614913187e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.101652365416087159e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.635675500866393295e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.864112383286334454e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.288497582670542554e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.835842348456480602e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.186288247122799448e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.835114008046702772e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.160179535581162651e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.384163266340165975e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.052045215744458081e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
--3.634475307148026055e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.915856882169678997e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.137870900206015723e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.152559426654042068e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.950090906416217108e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.428594579309303284e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.578621421852417273e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.904763977369541512e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.420831663255832246e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--3.195019374023542070e-03
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-nan
-nan
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-nan
--3.916334470745502089e-03
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--5.750238203481029299e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--4.834461066102926051e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.160413531304705960e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.894755722584974281e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--5.641125124022919844e-03
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
--7.868408599120118446e-03
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
-nan
--9.793791178808571724e-03
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-nan
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-nan
-nan
--1.082004665830949876e-02
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
--5.689193966496608815e-03
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-nan
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-nan
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-nan
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--4.635754003393463421e-05
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-nan
-nan
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--8.886100906824278937e-04
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-nan
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-nan
-nan
--2.113101262358286180e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.960187913413620447e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.343854076335514694e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.037301222021082096e-02
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.816712550387624373e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.838298632872984562e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.614846900382094171e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.493289679529118050e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.681288917225769758e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.008721811824625565e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.705237448987936767e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.289320921305840107e-05
--6.876415056912679518e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.964685525936736822e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.641605352834049712e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.442567984310290048e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.788610124512521347e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.314002077291872041e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.757889318197547238e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.947330626596908670e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.170613659633953460e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.381152753039008890e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.583774289353581555e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
--4.476559014952612679e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.393300125768822617e-03
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-nan
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--5.871676885139062024e-03
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--7.455786969072471411e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.466686555004283139e-03
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--1.807102206659221303e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.406907724657399092e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.312321924557543470e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.200978388411724031e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.093747432880133721e-03
--8.179417347828687318e-03
--9.429599257272710394e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.983757846798934084e-03
--8.176925931117993290e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.426252649596049221e-03
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--3.157011464543070609e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.524697585319604767e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.713364808138220757e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.897789349311411092e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.132496953973532477e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.818394686756038575e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.376246617617337020e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.640731276174481307e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.720299035470363537e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.895633335758909362e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.162322220047278580e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.989421755648637352e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.750581155346010588e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.799883613716791314e-03
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-nan
-nan
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-nan
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-nan
-nan
-2.197273886277070201e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.022323166266077882e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.289191360132863496e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.050205021968021409e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.289308121486571986e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.758623402368949335e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.309413555864596738e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.739618635373100596e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.935996521140676385e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
--4.226399882365435533e-03
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-nan
-nan
-nan
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-nan
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-nan
--4.548703967259214859e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--4.874339098598260735e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.760387711399307990e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.075929014272076434e-03
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-nan
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-nan
-nan
--5.422465194917182665e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
--5.790030404560778804e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.120879307213617469e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.452134107744479131e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.751225187291004341e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.525863459847488883e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.720544021929733373e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--6.929768602642470861e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.106268025789965435e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.250057111903584345e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.354827467069752212e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.419008759344722891e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.448451648442433459e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.452555005401584158e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.422833276208188474e-03
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-nan
-nan
-nan
-nan
-nan
-nan
--7.377618453396597893e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.228694958731224557e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.271960953743179995e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.321781060842574351e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.442764188006789128e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.540106596894208105e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.743517241859894221e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.829238614754849127e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.123973135511966731e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.730145918943527095e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.139901723578804246e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.437518264886439773e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.857853818742147556e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--5.394525770791061027e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.208270419977499024e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.249064502647845513e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--3.191131113102192805e-03
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-nan
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--1.414920536358923271e-03
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-nan
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-4.348671877228467300e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.569214366301338453e-05
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.579104229338488265e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.644569996131649411e-03
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-nan
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-nan
-nan
--1.799257522990679696e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.197823899408171903e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.055105886736340363e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-6.347464464074631298e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.613510353384516923e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.307759327907141916e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--3.227362708017680621e-03
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-nan
-nan
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-nan
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-nan
-nan
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-nan
-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.236958608641502581e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.258494569920882940e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.782762910505149935e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.725052855788790140e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.579386738187081363e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.335030036231460736e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.991501083864427347e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.475096797349049263e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.974970404869550666e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.375492686590813661e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.561437499595010978e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.684719879251401216e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.808734632256808337e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.960091702538161503e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.096393980203583446e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.958065152225944822e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-6.532051501038023443e-04
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-nan
-nan
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-nan
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-nan
-4.773829911272510626e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.251932127689078950e-04
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.025523073091314007e-03
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-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--1.475906978615520787e-03
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--1.825379572356693528e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--2.169709939921078169e-03
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-nan
-nan
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-nan
-nan
-nan
--2.566736224781100435e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--2.881872178514498489e-03
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-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
--3.238216090766344018e-03
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-nan
-nan
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-nan
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-nan
-nan
-nan
--3.603370404138704977e-03
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-nan
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-nan
-nan
-nan
--3.955719783199269229e-03
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-nan
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-nan
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-nan
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-nan
-nan
--4.388087968327143013e-03
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-nan
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--4.687374368209705142e-03
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-nan
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--4.978387926787271843e-03
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.251722760138870606e-03
--6.552276398719691052e-03
--6.744195237309425286e-03
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--4.818856671628644027e-03
--3.841956395981351545e-03
--2.352171433621099220e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.383104706063856375e-03
--6.690508644943464478e-03
--6.884472202142209209e-03
--6.930695214075398639e-03
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--4.909139858880313956e-03
--4.894704410145859705e-03
--3.900341316172123516e-03
--2.387051394301689666e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.504551605824498116e-03
--6.818430097722555198e-03
--7.016427556535239328e-03
--7.063244599219550487e-03
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--4.982817290592515824e-03
--3.974848470706155053e-03
--2.441086103045548954e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.611382045942231639e-03
--6.934132907160508140e-03
--7.139755652037084281e-03
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--5.094001527565725392e-03
--5.082807340505237671e-03
--4.065068656624633812e-03
--2.513812504791992745e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.707039342532998202e-03
--7.039788194621545390e-03
--7.255219615369042432e-03
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--5.193061058045850796e-03
--4.169416051565299347e-03
--2.603636494146447170e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.814202500320158673e-03
--7.144875061355450419e-03
--7.365050334396768678e-03
--7.433945751638516147e-03
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--5.310667716820925352e-03
--4.285073286314781266e-03
--2.707799816577976561e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.051899614078186232e-03
--7.271155147777859026e-03
--7.471447252292756983e-03
--7.546164958596978875e-03
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--5.431357971820949607e-03
--4.407954316811698789e-03
--2.822371812293146109e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.143759431509798773e-03
--7.353530069517780036e-03
--7.558967414466852101e-03
--7.645852687161484688e-03
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--5.549473586997972011e-03
--4.532700130916372978e-03
--2.942276779986503516e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.186641966208301424e-03
--7.405395164853278110e-03
--7.625535978285960179e-03
--7.727797163594225631e-03
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--5.657998098298078898e-03
--4.652727626250212009e-03
--3.061370260832949313e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.202268243943234921e-03
--7.431386364990110946e-03
--7.667425840477220221e-03
--7.785003616510887889e-03
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--5.748680894396737164e-03
--4.760353074165010225e-03
--3.172577192790788751e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.194174617461558674e-03
--7.428347768479659323e-03
--7.677339373292691067e-03
--7.808088348621500946e-03
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--5.675174919572479638e-03
--5.812281693559934181e-03
--4.847007362745097379e-03
--3.268101055443183717e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.162271820010177384e-03
--7.388879298215030034e-03
--7.645166187856067622e-03
--7.785683752518604561e-03
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--5.653081692677217572e-03
--5.838949142066387696e-03
--4.903550815410297886e-03
--3.339705874082297531e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--7.073948748786800834e-03
--7.296613616750612791e-03
--7.557969317954572712e-03
--7.705095801349078587e-03
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--5.575353079992539408e-03
--5.818728077247832704e-03
--4.920681805926788513e-03
--3.379062926209009613e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.935304971239264135e-03
--7.143396106437680491e-03
--7.403781487752102500e-03
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--5.742167231079762374e-03
--4.889416982342373839e-03
--3.378141924839619253e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.782688214231740245e-03
--6.924481947790810804e-03
--7.171386988988434630e-03
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--5.600974370902976618e-03
--4.801602258753309878e-03
--3.329612684587490885e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.622914645196265916e-03
--6.848889258324008383e-03
--6.995270336769822579e-03
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--5.388637032579959504e-03
--4.650391745154780140e-03
--3.227208244387269609e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.209178756013463731e-03
--6.430196959341751874e-03
--6.575276130724990419e-03
--6.498154764914370468e-03
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--4.561415786451386740e-03
--5.100885943092258248e-03
--4.430608369959187359e-03
--3.065994268326345355e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.711521276347304200e-03
--5.920288624358839048e-03
--6.061926183196442858e-03
--5.991759391760140968e-03
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--4.735824466420261378e-03
--4.138919128681386311e-03
--2.842563862690581939e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.158481985308445428e-03
--5.328633601186001309e-03
--5.461752434386316253e-03
--5.400840018244139340e-03
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--4.293623473798502919e-03
--3.774103136715926780e-03
--2.555668453320181395e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.596354341828924953e-03
--4.661453102080968108e-03
--4.783572793067400637e-03
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--3.033111050665476382e-03
--3.776927043629087124e-03
--3.339611235295898359e-03
--2.209853177003514614e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.883898906912077766e-03
--3.924538971605519982e-03
--4.041980213536686302e-03
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--3.200361289012721398e-03
--2.857778473202659836e-03
--1.830471760520670926e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.247607312442335036e-03
--3.175240401915305037e-03
--3.277518600268266614e-03
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--2.419246354124366446e-03
--1.503521282587847287e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.499788706645392124e-03
--2.636259352246031560e-03
--2.653517059026856955e-03
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--2.400578590623403917e-03
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--1.397146849936993767e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.129782689014281596e-03
--2.353715444966683005e-03
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--2.657972956861039820e-03
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--1.318554086615391719e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.033291172029858441e-03
--1.237794106209472817e-03
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--1.996202862450988970e-03
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--7.158047472304441931e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-4.350650093506633603e-04
-1.920153539816636939e-04
--8.618274545989306975e-05
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--6.235479026958629491e-04
-1.334934120613768453e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-8.621221315035855785e-04
-5.894551762760859726e-04
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--4.843477196828506297e-05
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--4.887514885973658508e-04
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-1.395087113524833130e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.771905500000654967e-05
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--2.389660189821113086e-04
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--1.260911456504664125e-03
--9.734991931278578472e-04
--4.801421037170767818e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.030316519204873493e-04
--6.931810894016144373e-04
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--1.963375486155505452e-03
--1.686174678775097030e-03
--1.124350229389306033e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--9.543285592240759565e-04
--1.192183022863818782e-03
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--2.394563156145091375e-03
--2.264948010153723049e-03
--1.702890481815317984e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.321149718622626010e-03
--1.557586144719713120e-03
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--2.588609893210612641e-03
--2.514742116744550157e-03
--1.960118526461402094e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.700363400122436360e-03
--1.938262989833607931e-03
--2.154867480618192794e-03
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--2.116015330348089765e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.092459819956607025e-03
--2.332477959986764895e-03
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--2.271165628464069317e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.498319863303026869e-03
--2.476300240082427752e-03
--2.717015809500092100e-03
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--3.141880574236320493e-03
--2.421123393679216682e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.783763892954516615e-03
--2.830692475730563554e-03
--3.082133802120736073e-03
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--3.662279482986773027e-03
--3.336240836844881884e-03
--2.554043708497789281e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.122439844268033813e-03
--3.177386515371138486e-03
--3.428910578376096006e-03
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--3.896761287910157842e-03
--3.506630584921992515e-03
--2.665028923858630498e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.458018145872327441e-03
--3.509200907304965613e-03
--3.755889910007812263e-03
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--3.652801131598717391e-03
--2.753853385259664565e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.774058550093279361e-03
--3.821859154882924128e-03
--4.061990253432223690e-03
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--3.776475903275333060e-03
--2.822383744771707770e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.075619424222065405e-03
--4.116280800054133125e-03
--4.347344132336638557e-03
--4.521219300503655746e-03
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--4.360122430768268408e-03
--4.446907320687091408e-03
--3.880208054448532062e-03
--2.873399418802980582e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.884191323529489190e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.118737209256181767e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.335580429053446774e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.532160201503043793e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.697845388554971177e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.526687803051932857e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.631470376732947321e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.756027423605123566e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.873571269195019748e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.976315828154393425e-03
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-nan
-nan
-nan
-nan
-nan
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-nan
-nan
--6.061845724999412668e-03
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-nan
-nan
-nan
-nan
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-nan
-nan
-nan
--6.124596619423913584e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.650410021209223442e-03
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-nan
-nan
-nan
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-nan
-nan
-nan
-nan
-nan
--6.726775063013938627e-03
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-nan
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-nan
-nan
--6.764209641329267664e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.772190611120039103e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--6.747980913182129517e-03
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-nan
-nan
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-nan
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-nan
-nan
--6.684374719809316190e-03
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-nan
-nan
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-nan
-nan
-nan
--6.571386850008749392e-03
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-nan
-nan
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--6.399892098996069929e-03
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-nan
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--6.161353037542558961e-03
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-nan
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-nan
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-nan
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-nan
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--5.004061566342806605e-03
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-nan
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--4.595128803090633464e-03
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-nan
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--3.806530446277402429e-03
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-nan
-nan
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--3.151966867787829845e-03
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-nan
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--2.498950649165193171e-03
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-nan
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-nan
-nan
--1.960061491971222362e-03
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-nan
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--1.600854134048993122e-03
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-nan
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--9.905438588041842133e-04
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-nan
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-nan
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-1.462681047211000264e-03
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-nan
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-7.055438933768266082e-04
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-nan
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-nan
-nan
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--2.824344973014825187e-04
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-nan
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--6.109637322191369515e-04
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-nan
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--9.551461167612965196e-04
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--2.459685754046181047e-03
--2.366326367077433747e-03
--1.860822208901786318e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.315478864699152692e-03
--1.564108100291700760e-03
--1.815723464330189088e-03
--1.978549987544664986e-03
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--2.378715887387450843e-03
--2.737324208641981910e-03
--2.589647158349520171e-03
--2.038265416112100114e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.670961359231562353e-03
--1.920590559667253745e-03
--2.171737916809040117e-03
--2.331531288259564624e-03
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--3.015798882475104799e-03
--2.809645477986690530e-03
--2.207649649811912942e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.010131165404715602e-03
--2.261612235175495915e-03
--2.511565821522830991e-03
--2.667162430643015003e-03
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--3.024821045144637614e-03
--3.278455441231378255e-03
--3.015655683804998200e-03
--2.363429787902631817e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.333810010269948918e-03
--2.585069291001631814e-03
--2.832376016858511713e-03
--2.982642351805075281e-03
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--3.519658237793066215e-03
--3.202513366711371053e-03
--2.501501127230838003e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.640145900682925803e-03
--2.889704440697536941e-03
--3.133049396585626915e-03
--3.276944342901008753e-03
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--3.738545478104338907e-03
--3.369305389001145054e-03
--2.621107294018108162e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.927806620983810625e-03
--3.174802366494732138e-03
--3.413091293074454503e-03
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--3.935980412075628342e-03
--3.517052013837175875e-03
--2.723376847417954827e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.196838803252308875e-03
--3.440407631404093433e-03
--3.672617185188362891e-03
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--4.113543000077894175e-03
--3.647587330665068555e-03
--2.810300293625190519e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.447706056448479606e-03
--3.687081260099565189e-03
--3.912319607873328969e-03
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--4.273224399293157512e-03
--3.763138277513490126e-03
--2.884275779885051450e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.681127122769669614e-03
--3.915769718049517782e-03
--4.133368166555304382e-03
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--4.417297472345424643e-03
--3.866154159877720122e-03
--2.947912128906567727e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.898068211475335700e-03
--4.127698357862233727e-03
--4.337270098286394489e-03
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--4.559415527619810511e-03
--4.548213493625451881e-03
--3.959201932881924353e-03
--3.003913387615465315e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.099644475074199976e-03
--4.324239119681058154e-03
--4.525715526403665048e-03
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--4.668493652543426534e-03
--4.044870871386157564e-03
--3.054981385560222220e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.286851164917447263e-03
--4.506730588946703496e-03
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--4.125674673158737267e-03
--3.103719897077009474e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.460321987331913873e-03
--4.676307320222444254e-03
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--4.886887848210116209e-03
--4.203951619195281028e-03
--3.152539070478096225e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.620085538124264236e-03
--4.833766553276988218e-03
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--3.203562453595073904e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.766161006251248312e-03
--4.979786982341885722e-03
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--3.258539162091214983e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.902065225965034599e-03
--5.115746677616903569e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.027482281638072890e-03
--5.241698149304988008e-03
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--3.385000008621712707e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.141330271505007224e-03
--5.357100032985122502e-03
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--3.457424096206742400e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.242664805272789601e-03
--5.461150042803580677e-03
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--5.483957216092777594e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.330692298306278706e-03
--5.552765979032237530e-03
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--3.618257285575302278e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.404829667194494848e-03
--5.630510804227602077e-03
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--5.668694451514862988e-03
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--3.703627969213254059e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.464031525307635334e-03
--5.692187808675087425e-03
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--5.750609732557358800e-03
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--3.789070832382850865e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.501190612992248527e-03
--5.733425066231092118e-03
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--3.871269018069740681e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.513146267651789639e-03
--5.750188593379807790e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.496020140652664761e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.444529848693993590e-03
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--4.055739907031846378e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.352480644061762861e-03
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--4.079887539551272507e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.213368049819078892e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--5.021102552589179653e-03
--5.273562326948053568e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.770692030685359623e-03
--5.024166229993049827e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.459030714084271860e-03
--4.713302286452163148e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--4.086111039590208625e-03
--4.340798366960245923e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.654899543948238096e-03
--3.908946061604855714e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--3.169505975214394027e-03
--3.421566136931758050e-03
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--3.213409674568957521e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.628199182416694063e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--2.057675892816481032e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.504870417553591478e-03
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-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--1.083016164966477991e-03
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--1.868757913346383087e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
--8.309820974536114447e-04
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--1.078802655388213117e-03
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-3.016961874098843298e-05
--2.483020367583937960e-04
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--1.380390866390131949e-04
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-nan
-1.136529962789886066e-03
-8.585653395500220412e-04
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diff --git a/simpegPF/Dev/GRAV/SimPEG_inv_l2l2_3.0.den b/simpegPF/Dev/GRAV/SimPEG_inv_l2l2_3.0.den
deleted file mode 100644
index d65ca623..00000000
--- a/simpegPF/Dev/GRAV/SimPEG_inv_l2l2_3.0.den
+++ /dev/null
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new file mode 100644
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diff --git a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
index ddd3df14..18a0a67c 100644
--- a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
+++ b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
@@ -125,6 +125,8 @@ m0 = np.reshape(m0,(mesh.nCx,mesh.nCy,mesh.nCz), order = 'F')
 m0[midx-6,midy,midz+2] = val
 m0[midx+7,midy,midz+2] = val
 m0 = mkvc(m0)
+# Write result
+Mesh.TensorMesh.writeModelUBC(mesh,'ModelStart.sus',m0)
 
 # Extract cells under topography and create new index for inactive
 m0 = m0[actv]
diff --git a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
index f3ea912b..f40cda67 100644
--- a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
+++ b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
@@ -2,7 +2,9 @@ from SimPEG import *
 import simpegPF as PF
 import pylab as plt
 
-import os
+#import os
+
+plt.close('all')
 
 driver = PF.MagneticsDriver.MagneticsDriver_Inv('PYMAG3D_inv.inp')
 mesh = driver.mesh
@@ -20,8 +22,12 @@ nC = len(actv)
 # Create active map to go from reduce set to full
 actvMap = Maps.InjectActiveCells(mesh, actv, -100)
 
-# Create reduced identity map
-idenMap = Maps.IdentityMap(nP=nC)
+# Create static map
+static = driver.staticCells
+dynamic = driver.dynamicCells
+
+staticCells = Maps.InjectActiveCells(None, dynamic, driver.m0[static], nC=nC)
+mstart = driver.m0[dynamic]
 
 # Get magnetization vector for MOF
 M_xyz = driver.magnetizationModel
@@ -34,7 +40,7 @@ midy = int(mesh.nCy/2)
 PF.Magnetics.plot_obs_2D(rxLoc,d, 'Observed Data')
 
 #%% Run inversion
-prob = PF.Magnetics.Problem3D_Integral(mesh, mapping=idenMap, actInd=actv)
+prob = PF.Magnetics.Problem3D_Integral(mesh, mapping = staticCells, actInd=actv)
 prob.solverOpts['accuracyTol'] = 1e-4
 survey.pair(prob)
 
@@ -42,7 +48,7 @@ dmis = DataMisfit.l2_DataMisfit(survey)
 dmis.Wd = 1./wd
 
 # Write out the predicted
-pred = prob.fields(driver.m0)
+pred = prob.fields(mstart)
 PF.Magnetics.writeUBCobs('Pred.dat', survey, pred)
 
 wr = np.sum(prob.G**2.,axis=0)**0.5
@@ -55,26 +61,26 @@ mesh.plotSlice(wr_out, ax=ax, normal='Y', ind=midx ,clim=(-1e-3, wr.max()))
 plt.title('Distance weighting')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
-reg = Regularization.Sparse(mesh, indActive=actv, mapping=idenMap)
-reg.mref = driver.mref
+reg = Regularization.Sparse(mesh, indActive=actv, mapping = staticCells)
+reg.mref = driver.mref[dynamic]
 reg.cell_weights = wr
     
 #reg.mref = np.zeros(mesh.nC)
-eps_p = 5e-5
-eps_q = 5e-5
-norms   = [0., 1., 1., 1.]
+#eps_p = 5e-5
+#eps_q = 5e-5
+#norms   = [0., 1., 1., 1.]
 
-opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=-2.,upper=2., maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
+opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=driver.bounds[0],upper=driver.bounds[1], maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 #beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=1)
 #update_beta = Directives.Scale_Beta(tol = 0.05, coolingRate=5)
 betaest = Directives.BetaEstimate_ByEig()
-IRLS = Directives.Update_IRLS( norms=norms,  eps_p=eps_p, eps_q=eps_q, f_min_change = 1e-2)
+IRLS = Directives.Update_IRLS( norms=driver.lpnorms,  eps=driver.eps, f_min_change = 1e-3, minGNiter=6)
 update_Jacobi = Directives.Update_lin_PreCond()
 inv = Inversion.BaseInversion(invProb, directiveList=[IRLS,betaest,update_Jacobi])
 
 # Run inversion
-mrec = inv.run(driver.m0)
+mrec = inv.run(mstart)
 
 pred = prob.fields(mrec)
 
@@ -88,7 +94,7 @@ print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) )
 yslice = midx
 
 
-m_out = actvMap*reg.l2model
+m_out = actvMap*staticCells*reg.l2model
 m_out[m_out==-100] = np.nan
 
 # Write result
@@ -122,15 +128,15 @@ plt.hist(reg.l2model,100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model values - Smooth')
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*reg.l2model,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*reg.l2model),100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model gradient values - Smooth')
 
 #%% Plot out a section of the model
 
-yslice = midx
+yslice = midx+1
 
-m_out = actvMap*mrec
+m_out = actvMap*staticCells*mrec
 m_out[m_out==-100] = np.nan
 
 plt.figure()
@@ -160,7 +166,7 @@ plt.hist(mrec,100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model values - Compact')
 ax = plt.subplot(122)
-plt.hist(reg.regmesh.cellDiffxStencil*mrec,100)
+plt.hist(reg.regmesh.cellDiffxStencil*(staticCells*mrec),100)
 plt.yscale('log', nonposy='clip')
 plt.title('Histogram of model gradient values - Smooth')
 
diff --git a/simpegPF/Dev/MAG/ModelStart.sus b/simpegPF/Dev/MAG/ModelStart.sus
new file mode 100644
index 00000000..81b32448
--- /dev/null
+++ b/simpegPF/Dev/MAG/ModelStart.sus
@@ -0,0 +1,44180 @@
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diff --git a/simpegPF/Dev/MAG/PYMAG3D_inv.inp b/simpegPF/Dev/MAG/PYMAG3D_inv.inp
index 1813776c..b959a435 100644
--- a/simpegPF/Dev/MAG/PYMAG3D_inv.inp
+++ b/simpegPF/Dev/MAG/PYMAG3D_inv.inp
@@ -1,11 +1,13 @@
 Mesh_10m.msh			! Mesh file
-Obs_loc_TMI.obs		! Obsfile
+Obs_loc_TMI.obs			! Obsfile
 Gaussian.topo			! Topofile | null
-VALUE 1e-4			! Starting model
-VALUE 0			! Reference model
-DEFAULT !..\AzmDip.dat			! Magnetization vector model
+ModelStart.sus			! Starting model
+VALUE 0				! Reference model
+ActiveCells.dat			! [ Active file (0:Inactive | 1: Active-Dynamic | -1: Active-Static) ] || [ VALUE ### (from starting model) ] || [ DEFAULT (all Active-Dynamic)]
+DEFAULT !..\AzmDip.dat		! Magnetization vector model
 DEFAULT				! Cell based weight file
 1				! target chi factor | DEFAULT=1
-1 1 1 1			! alpha s, x ,y ,z
+1 1 1 1				! alpha s, x ,y ,z
 VALUE 0 1			! Lower and Upper Bounds for p-component
-VALUE 0 1 1 1 1		! lp-norm for amplitude inversion FILE pqxqyqzr.dat  ! Norms VALUE p, qx, qy, qz, r | FILE m-by-5 matrix
\ No newline at end of file
+VALUE 0 1 1 1 1			! lp-norm for amplitude inversion FILE pqxqyqzr.dat  ! Norms VALUE p, qx, qy, qz, r | FILE m-by-5 matrix
+DEFAULT		! Threshold value for the norm on model and model gradient VALUE eps_p, eps_q | DEFAULT
\ No newline at end of file
diff --git a/simpegPF/Dev/MAG/Pred.dat b/simpegPF/Dev/MAG/Pred.dat
index a214bd9d..8636dd70 100644
--- a/simpegPF/Dev/MAG/Pred.dat
+++ b/simpegPF/Dev/MAG/Pred.dat
@@ -1,619 +1,619 @@
   0.00  90.00 50000.00
   0.00  90.00   1.00
 616
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diff --git a/simpegPF/Dev/MAG/SimPEG_inv_l2l2.sus b/simpegPF/Dev/MAG/SimPEG_inv_l2l2.sus
index 6dd04cd0..05b94088 100644
--- a/simpegPF/Dev/MAG/SimPEG_inv_l2l2.sus
+++ b/simpegPF/Dev/MAG/SimPEG_inv_l2l2.sus
@@ -9,15 +9,15 @@ nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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 nan
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diff --git a/simpegPF/Dev/MAG/SimPEG_inv_l2l2_Constrained.sus b/simpegPF/Dev/MAG/SimPEG_inv_l2l2_Constrained.sus
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 0.000000000000000000e+00
 0.000000000000000000e+00
 0.000000000000000000e+00
@@ -43888,13 +43888,13 @@
 -1.000000000000000000e+02
 -1.000000000000000000e+02
 -1.000000000000000000e+02
-8.807790240204589732e-06
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 0.000000000000000000e+00
 0.000000000000000000e+00
 0.000000000000000000e+00
@@ -43908,13 +43908,13 @@
 -1.000000000000000000e+02
 -1.000000000000000000e+02
 -1.000000000000000000e+02
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 0.000000000000000000e+00
 0.000000000000000000e+00
 0.000000000000000000e+00
@@ -43928,13 +43928,13 @@
 -1.000000000000000000e+02
 -1.000000000000000000e+02
 -1.000000000000000000e+02
-8.523160370980073879e-06
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 0.000000000000000000e+00
 0.000000000000000000e+00
 0.000000000000000000e+00
@@ -43948,13 +43948,13 @@
 -1.000000000000000000e+02
 -1.000000000000000000e+02
 -1.000000000000000000e+02
-8.333214431475368064e-06
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 0.000000000000000000e+00
 0.000000000000000000e+00
 0.000000000000000000e+00
@@ -43968,14 +43968,14 @@
 -1.000000000000000000e+02
 -1.000000000000000000e+02
 -1.000000000000000000e+02
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 0.000000000000000000e+00
 0.000000000000000000e+00
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@@ -43988,14 +43988,14 @@
 -1.000000000000000000e+02
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 0.000000000000000000e+00
 0.000000000000000000e+00
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@@ -44008,14 +44008,14 @@
 -1.000000000000000000e+02
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 0.000000000000000000e+00
 0.000000000000000000e+00
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@@ -44028,15 +44028,15 @@
 -1.000000000000000000e+02
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 0.000000000000000000e+00
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@@ -44048,15 +44048,15 @@
 -1.000000000000000000e+02
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 0.000000000000000000e+00
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@@ -44068,16 +44068,16 @@
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@@ -44088,16 +44088,16 @@
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@@ -44108,16 +44108,16 @@
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 0.000000000000000000e+00
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diff --git a/simpegPF/GravityDriver.py b/simpegPF/GravityDriver.py
index 56151387..db419ba9 100644
--- a/simpegPF/GravityDriver.py
+++ b/simpegPF/GravityDriver.py
@@ -1,5 +1,5 @@
 import re, os
-from SimPEG import Mesh, np
+from SimPEG import Mesh, np, Utils
 import BaseGrav, Gravity
 
 class GravityDriver_Inv(object):
@@ -25,6 +25,7 @@ class GravityDriver_Inv(object):
             topofile
             start model
             ref model
+            active cells model
             weightfile
             chi_target
             as, ax ,ay, az
@@ -77,28 +78,39 @@ class GravityDriver_Inv(object):
         else:
             mref = l_input[0].rstrip()
 
-
         # Line 6
         line = fid.readline()
         l_input = re.split('[!\s]',line)
+        if l_input[0]=='VALUE':
+            staticInput = float(l_input[1])
+
+        elif l_input[0]=='DEFAULT':
+            staticInput = None
+
+        else:
+            staticInput = l_input[0].rstrip()
+
+        # Line 7
+        line = fid.readline()
+        l_input = re.split('[!\s]',line)
         if l_input=='DEFAULT':
             wgtfile = []
 
         else:
             wgtfile = l_input[0].rstrip()
 
-        # Line 7
+        # Line 8
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         chi = float(l_input[0])
 
-        # Line 8
+        # Line 9
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         val = np.array(l_input[0:4])
         alphas = val.astype(np.float)
 
-        # Line 9
+        # Line 10
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input[0]=='VALUE':
@@ -108,7 +120,7 @@ class GravityDriver_Inv(object):
         else:
             bounds = l_input[0].rstrip()
 
-        # Line 10
+        # Line 11
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input[0]=='VALUE':
@@ -118,7 +130,7 @@ class GravityDriver_Inv(object):
         else:
             lpnorms = l_input[0].rstrip()
 
-        # Line 11
+        # Line 12
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input[0]=='VALUE':
@@ -126,13 +138,14 @@ class GravityDriver_Inv(object):
             eps = val.astype(np.float)
 
         else:
-            eps = l_input[0].rstrip()
+            eps = [None,None]
 
         self.mshfile  = mshfile
         self.obsfile  = obsfile
         self.topofile = topofile
         self.mstart   = mstart
         self._mrefInput = mref
+        self._staticInput = staticInput
         self.wgtfile  = wgtfile
         self.chi      = chi
         self.alphas   = alphas
@@ -149,7 +162,7 @@ class GravityDriver_Inv(object):
     @property
     def survey(self):
         if getattr(self, '_survey', None) is None:
-            self._survey = self.readGravityObservations(self.obsfile)
+            self._survey = self.readGravityObservations(self.basePath + self.obsfile)
         return self._survey
 
     @property
@@ -160,9 +173,58 @@ class GravityDriver_Inv(object):
             else:
                 topo = np.genfromtxt(self.basePath + self.topofile, skip_header=1)
                 # Find the active cells
-                self._activeCells = Gravity.getActiveTopo(self.mesh,topo,'N')
+                active = Utils.surface2ind_topo(self.mesh,topo,'N')
+                inds = np.asarray([inds for inds, elem in enumerate(active, 1) if elem], dtype = int) - 1
+                self._activeCells = inds
+
         return self._activeCells
 
+    @property
+    def staticCells(self):
+        if getattr(self, '_staticCells', None) is None:
+
+            if getattr(self, '_staticInput', None) is None:
+                # All cells are dynamic: 1's
+                self._dynamicCells = np.arange(len(self.m0))
+                self._staticCells = []
+
+            # Cells with specific value are static: 0's
+            else:
+                if isinstance(self._staticInput, float):
+                    staticCells = self.m0 == self._staticInput
+
+                else:
+                    # Read from file active cells with 0:air, 1:dynamic, -1 static
+                    staticCells = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self._staticInput)
+                    staticCells = staticCells[self.activeCells] == -1
+
+                inds = np.asarray([inds for inds, elem in enumerate(staticCells, 1) if elem], dtype = int) - 1
+                self._staticCells = inds
+
+        return self._staticCells
+
+    @property
+    def dynamicCells(self):
+        if getattr(self, '_dynamicCells', None) is None:
+
+            if getattr(self, '_staticInput', None) is None:
+                # All cells are dynamic: 1's
+                self._dynamicCells = np.arange(len(self.m0))
+
+            # Cells with specific value are static: 0's
+            else:
+                if isinstance(self._staticInput, float):
+                    dynamicCells = self.m0 != self._staticInput
+
+                else:
+                    # Read from file active cells with 0:air, 1:dynamic, -1 static
+                    dynamicCells = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self._staticInput)
+                    dynamicCells = dynamicCells[self.activeCells] == 1
+
+                inds = np.asarray([inds for inds, elem in enumerate(dynamicCells, 1) if elem], dtype = int) - 1
+                self._dynamicCells = inds
+
+        return self._dynamicCells
 
     @property
     def nC(self):
@@ -176,7 +238,8 @@ class GravityDriver_Inv(object):
             if isinstance(self.mstart, float):
                 self._m0 = np.ones(self.nC) * self.mstart
             else:
-                self._m0 = Utils.meshutils.readUBCTensorModel(self.basePath + self.mstart,self.mesh)
+
+                self._m0 = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self.mstart)
                 self._m0 = self._m0[self.activeCells]
 
         return self._m0
@@ -187,7 +250,7 @@ class GravityDriver_Inv(object):
             if isinstance(self._mrefInput, float):
                 self._mref = np.ones(self.nC) * self._mrefInput
             else:
-                self._mref = Utils.meshutils.readUBCTensorModel(self.basePath + self._mrefInput, self.mesh)
+                self._mref = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self._mrefInput)
                 self._mref = self._mref[self.activeCells]
         return self._mref
 
diff --git a/simpegPF/MagneticsDriver.py b/simpegPF/MagneticsDriver.py
index de089905..ac0a043b 100644
--- a/simpegPF/MagneticsDriver.py
+++ b/simpegPF/MagneticsDriver.py
@@ -1,5 +1,5 @@
 import re, os
-from SimPEG import Mesh, np
+from SimPEG import Mesh, np, Utils
 import BaseMag, Magnetics
 
 class MagneticsDriver_Inv(object):
@@ -78,17 +78,29 @@ class MagneticsDriver_Inv(object):
         else:
             mref = l_input[0].rstrip()
 
-
         # Line 6
         line = fid.readline()
         l_input = re.split('[!\s]',line)
+        if l_input[0]=='VALUE':
+            staticInput = float(l_input[1])
+
+        elif l_input[0]=='DEFAULT':
+            staticInput = None
+
+        else:
+            staticInput = l_input[0].rstrip()
+
+
+        # Line 7
+        line = fid.readline()
+        l_input = re.split('[!\s]',line)
         if l_input=='DEFAULT':
             magfile = []
 
         else:
             magfile = l_input[0].rstrip()
 
-        # Line 7
+        # Line 8
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input=='DEFAULT':
@@ -97,18 +109,18 @@ class MagneticsDriver_Inv(object):
         else:
             wgtfile = l_input[0].rstrip()
 
-        # Line 8
+        # Line 9
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         chi = float(l_input[0])
 
-        # Line 9
+        # Line 10
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         val = np.array(l_input[0:4])
         alphas = val.astype(np.float)
 
-        # Line 10
+        # Line 11
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input[0]=='VALUE':
@@ -118,7 +130,7 @@ class MagneticsDriver_Inv(object):
         else:
             bounds = l_input[0].rstrip()
 
-        # Line 11
+        # Line 12
         line = fid.readline()
         l_input = re.split('[!\s]',line)
         if l_input[0]=='VALUE':
@@ -128,17 +140,29 @@ class MagneticsDriver_Inv(object):
         else:
             lpnorms = l_input[0].rstrip()
 
+        # Line 13
+        line = fid.readline()
+        l_input = re.split('[!\s]',line)
+        if l_input[0]=='VALUE':
+            val   = np.array(l_input[1:3])
+            eps = val.astype(np.float)
+
+        else:
+            eps = [None,None]
+
         self.mshfile  = mshfile
         self.obsfile  = obsfile
         self.topofile = topofile
         self.mstart   = mstart
         self._mrefInput = mref
+        self._staticInput = staticInput
         self.magfile  = magfile
         self.wgtfile  = wgtfile
         self.chi      = chi
         self.alphas   = alphas
         self.bounds   = bounds
         self.lpnorms  = lpnorms
+        self.eps      = eps
 
     @property
     def mesh(self):
@@ -156,13 +180,62 @@ class MagneticsDriver_Inv(object):
     def activeCells(self):
         if getattr(self, '_activeCells', None) is None:
             if self.topofile == 'null':
-                self._activeCells = np.arange(mesh.nC)
+                self._activeCells = np.arange(self.mesh.nC)
             else:
                 topo = np.genfromtxt(self.basePath + self.topofile, skip_header=1)
                 # Find the active cells
-                self._activeCells = Magnetics.getActiveTopo(self.mesh,topo,'N')
+                active = Utils.surface2ind_topo(self.mesh,topo,'N')
+                inds = np.asarray([inds for inds, elem in enumerate(active, 1) if elem], dtype = int) - 1
+                self._activeCells = inds
+
         return self._activeCells
 
+    @property
+    def staticCells(self):
+        if getattr(self, '_staticCells', None) is None:
+
+            if getattr(self, '_staticInput', None) is None:
+                # All cells are dynamic: 1's
+                self._dynamicCells = np.arange(len(self.m0))
+                self._staticCells = []
+
+            # Cells with specific value are static: 0's
+            else:
+                if isinstance(self._staticInput, float):
+                    staticCells = self.m0 == self._staticInput
+
+                else:
+                    # Read from file active cells with 0:air, 1:dynamic, -1 static
+                    staticCells = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self._staticInput)
+                    staticCells = staticCells[self.activeCells] == -1
+
+                inds = np.asarray([inds for inds, elem in enumerate(staticCells, 1) if elem], dtype = int) - 1
+                self._staticCells = inds
+
+        return self._staticCells
+
+    @property
+    def dynamicCells(self):
+        if getattr(self, '_dynamicCells', None) is None:
+
+            if getattr(self, '_staticInput', None) is None:
+                # All cells are dynamic: 1's
+                self._dynamicCells = np.arange(len(self.m0))
+
+            # Cells with specific value are static: 0's
+            else:
+                if isinstance(self._staticInput, float):
+                    dynamicCells = self.m0 != self._staticInput
+
+                else:
+                    # Read from file active cells with 0:air, 1:dynamic, -1 static
+                    dynamicCells = Mesh.TensorMesh.readModelUBC(self.mesh, self.basePath + self._staticInput)
+                    dynamicCells = dynamicCells[self.activeCells] == 1
+
+                inds = np.asarray([inds for inds, elem in enumerate(dynamicCells, 1) if elem], dtype = int) - 1
+                self._dynamicCells = inds
+
+        return self._dynamicCells
 
     @property
     def nC(self):
@@ -176,7 +249,7 @@ class MagneticsDriver_Inv(object):
             if isinstance(self.mstart, float):
                 self._m0 = np.ones(self.nC) * self.mstart
             else:
-                self._m0 = Utils.meshutils.readUBCTensorModel(self.basePath + self.mstart,self.mesh)
+                self._m0 = Mesh.TensorMesh.readModelUBC(self.mesh,self.basePath + self.mstart)
                 self._m0 = self._m0[self.activeCells]
 
         return self._m0
@@ -187,7 +260,7 @@ class MagneticsDriver_Inv(object):
             if isinstance(self._mrefInput, float):
                 self._mref = np.ones(self.nC) * self._mrefInput
             else:
-                self._mref = Utils.meshutils.readUBCTensorModel(self.basePath + self._mrefInput, self.mesh)
+                self._mref = Mesh.TensorMesh.readModelUBC(self.mesh,self.basePath + self._mrefInput)
                 self._mref = self._mref[self.activeCells]
         return self._mref