From f3c3bbaf3f7a0c4c4685f9001d126378621eb382 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Fri, 17 Jul 2026 14:02:04 -0400 Subject: [PATCH 01/14] Refactor power balance solver to a closed-form implementation for impurity fraction fixed mode --- src/openpopcon.py | 105 +++++++++++++++------------------------------- 1 file changed, 33 insertions(+), 72 deletions(-) diff --git a/src/openpopcon.py b/src/openpopcon.py index c96050b..22360e7 100644 --- a/src/openpopcon.py +++ b/src/openpopcon.py @@ -717,74 +717,43 @@ def Q_fusion(self, T_i_keV:float, n_e_20:float, Paux:float) -> float: # Power Balance Relaxation Solvers #------------------------------------------------------------------- - def P_aux_relax_impfrac(self, n_e_20, T_i_keV, accel=1., err=1e-5, max_iters=1000): + def P_aux_impfrac(self, n_e_20, T_i_keV): """ - Relaxation solver for holding impfrac constant. + Closed-form power balance solver for the impurity-fraction-fixed mode. """ - - P_aux_iter = 100. # Don't want to undershoot as we can end up with P~0 and this can create a NaN! So we choose a high starting point. T_e_keV = T_i_keV/self.tipeak_over_tepeak dil = self.plasma_dilution(T_e_keV) n_i_20 = n_e_20*dil line_average_fac = np.average(self.get_profile(self.sqrtpsin, 1)) - dPaux: float - P_fusion_heating_iter = self.volume_integral(self.sqrtpsin, self._P_fusion_heating(self.sqrtpsin, T_i_keV, n_i_20)) - P_ohmic_heating_iter = self.volume_integral(self.sqrtpsin, self._P_OH_prof(self.sqrtpsin, T_e_keV, n_e_20)) - W_tot_iter = self.volume_integral(self.sqrtpsin, self._W_tot_prof(self.sqrtpsin, T_i_keV, n_e_20)) - P_brem_iter = self.volume_integral(self.sqrtpsin, self._P_brem_rad(self.sqrtpsin, T_e_keV, n_e_20)) - P_synch_iter = self.volume_integral(self.sqrtpsin, self._P_synch(self.sqrtpsin, T_e_keV, n_e_20)) - P_imp_iter = self.volume_integral(self.sqrtpsin, self._P_impurity_rad(self.sqrtpsin, T_e_keV, n_e_20)) - for ii in np.arange(max_iters): - # Power in - P_totalheating_iter = P_aux_iter + P_ohmic_heating_iter + P_fusion_heating_iter - P_brem_iter - P_synch_iter - - # Power out - tauE_iter = self.tauE_scalinglaw(P_totalheating_iter, n_e_20*line_average_fac) - P_confinement_loss_iter = W_tot_iter/tauE_iter - - # Power balance - dPaux = P_confinement_loss_iter - P_totalheating_iter - - # Relaxation - - # Prevent negative aux power - if -dPaux*accel > P_aux_iter: - P_aux_iter -= 0.9*P_aux_iter - else: - P_aux_iter += accel*dPaux - - # Prevent negative total heating power - if P_aux_iter < -(P_ohmic_heating_iter + P_fusion_heating_iter - P_brem_iter): - P_aux_iter = P_brem_iter - - # Check for convergence - if P_aux_iter < 0.001 and dPaux <= 0: - break - elif P_aux_iter < 1.0: - if np.abs(dPaux/1.0) < err: - break - else: - if np.abs(dPaux/P_aux_iter) < err: - break - - if ii == max_iters-1: - if self.verbosity > 0: - print(f"Power balance relaxation solver found",P_aux_iter,"but did not converge in {max_iters} iterations in state n20=", n_e_20, "T=" , T_i_keV , "keV.") - - # Warn for P_SOL < 0: This is when the impurity radiation power exceeds the total W_tot/tauE. - # Impurity power is assumed to displace what would otherwise be conductive, turbulent, or instability-driven losses. - # This means that it radiates power away that would otherwise cross the separatrix and strike the divertor. - if P_imp_iter > P_confinement_loss_iter: + P_fusion_heating = self.volume_integral(self.sqrtpsin, self._P_fusion_heating(self.sqrtpsin, T_i_keV, n_i_20)) + P_ohmic_heating = self.volume_integral(self.sqrtpsin, self._P_OH_prof(self.sqrtpsin, T_e_keV, n_e_20)) + W_tot = self.volume_integral(self.sqrtpsin, self._W_tot_prof(self.sqrtpsin, T_i_keV, n_e_20)) + P_brem = self.volume_integral(self.sqrtpsin, self._P_brem_rad(self.sqrtpsin, T_e_keV, n_e_20)) + P_synch = self.volume_integral(self.sqrtpsin, self._P_synch(self.sqrtpsin, T_e_keV, n_e_20)) + P_imp = self.volume_integral(self.sqrtpsin, self._P_impurity_rad(self.sqrtpsin, T_e_keV, n_e_20)) + alpha = self.Pheat_alpha + K = self.tauE_scalinglaw(1.0, n_e_20*line_average_fac) + # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) + P_heat = (W_tot/K)**(1.0/(1.0+alpha)) + # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch + P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch + + # P_SOL < 0: impurity radiation exceeds the confinement loss, which at + # balance equals P_heat. The impurity power is assumed to displace what + # would otherwise be conductive/turbulent/instability-driven loss, so it + # radiates power away that would otherwise cross the separatrix. Such a + # state is not physical; flag it. + if P_imp > P_heat: if self.verbosity > 0: print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") - P_aux_iter = 99999. - - if np.isnan(P_aux_iter): + P_aux = 99999. + + if np.isnan(P_aux): if self.verbosity > 0: - print("NaN detected in P_aux_relax_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") - P_aux_iter = 99999. + print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") + P_aux = 99999. - return P_aux_iter + return P_aux #------------------------------------------------------------------- # Setup functions #------------------------------------------------------------------- @@ -1219,7 +1188,7 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile self.__check_settings() compile_test = POPCON_algorithms() try: - compile_test.P_aux_relax_impfrac(1,1,1,1,1) + compile_test.P_aux_impfrac(1.0, 1.0) except: pass @@ -1353,7 +1322,7 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr n_i_20 = n_e_20*dil line_avg_fac = np.average(self.algorithms.get_profile(rho, 1)) - Paux = self.algorithms.P_aux_relax_impfrac(n_e_20,T_i_keV,self.settings.accel,self.settings.err,self.settings.maxit) + Paux = self.algorithms.P_aux_impfrac(n_e_20,T_i_keV) Pfusion = self.algorithms.volume_integral(rho,self.algorithms._P_fusion(rho, T_i_keV, n_i_20)) Pfusion_heating = self.algorithms.volume_integral(rho,self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20)) @@ -1888,11 +1857,7 @@ def solve_nT_par(params:POPCON_algorithms, nn:int, nT:int, if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = params.P_aux_relax_impfrac(n_e_20[i], - T_i_keV[j], - accel, - err, - maxit) + Paux[i,j] = params.P_aux_impfrac(n_e_20[i], T_i_keV[j]) return Paux @@ -1913,11 +1878,7 @@ def solve_nT(params:POPCON_algorithms, nn:int, nT:int, if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = params.P_aux_relax_impfrac(n_e_20[i], - T_i_keV[j], - accel, - err, - maxit) + Paux[i,j] = params.P_aux_impfrac(n_e_20[i], T_i_keV[j]) return Paux @@ -1944,7 +1905,7 @@ def populate_outputs_par(params:POPCON_algorithms, result:POPCON_data, Nn, NTi, result.Pbrems[i,j] = params.volume_integral(rho,params._P_brem_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) result.Psynch[i,j] = params.volume_integral(rho,params._P_synch(rho, result.T_e_max[j], result.n_e_20_max[i])) result.Pimprad[i,j] = params.volume_integral(rho,params._P_impurity_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Prad[i,j] = params.volume_integral(rho,params._P_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) + result.Prad[i,j] = result.Pbrems[i,j] + result.Pimprad[i,j] + result.Psynch[i,j] result.Pheat[i,j] = result.Pfusionheating[i,j] + result.Pohmic[i,j] + result.Paux[i,j] - result.Pbrems[i,j] result.Wtot[i,j] = params.volume_integral(rho,params._W_tot_prof(rho,result.T_i_max[j],result.n_e_20_max[i])) result.tauE[i,j] = params.tauE_scalinglaw(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) @@ -1985,7 +1946,7 @@ def populate_outputs(params:POPCON_algorithms, result:POPCON_data, Nn, NTi, verb result.Pbrems[i,j] = params.volume_integral(rho,params._P_brem_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) result.Psynch[i,j] = params.volume_integral(rho,params._P_synch(rho, result.T_e_max[j], result.n_e_20_max[i])) result.Pimprad[i,j] = params.volume_integral(rho,params._P_impurity_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Prad[i,j] = params.volume_integral(rho,params._P_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) + result.Prad[i,j] = result.Pbrems[i,j] + result.Pimprad[i,j] + result.Psynch[i,j] result.Pheat[i,j] = result.Pfusionheating[i,j] + result.Pohmic[i,j] + result.Paux[i,j] - result.Pbrems[i,j] result.Wtot[i,j] = params.volume_integral(rho,params._W_tot_prof(rho,result.T_i_max[j],result.n_e_20_max[i])) result.tauE[i,j] = params.tauE_scalinglaw(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) From 9cc1fb272ae80e7c76f3437a02481919e0027584 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Fri, 17 Jul 2026 14:04:39 -0400 Subject: [PATCH 02/14] Refactor get_fluxvolumes function to simplify volume calculation and remove unused parameters --- src/lib/openpopcon_util.py | 53 ++++++-------------------------------- 1 file changed, 8 insertions(+), 45 deletions(-) diff --git a/src/lib/openpopcon_util.py b/src/lib/openpopcon_util.py index 2b05590..765e7c0 100644 --- a/src/lib/openpopcon_util.py +++ b/src/lib/openpopcon_util.py @@ -116,7 +116,7 @@ def read_2d(fid, n, m): return eqdsk_obj -def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50, nres: int = 300): +def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50): """ Calculates the flux surface volumes and areas from the gEQDSK object. @@ -126,55 +126,18 @@ def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50, nres: int = 300): gEQDSK object. Npsi : int, optional Number of flux surfaces to calculate. The default is 50. - nres : int, optional - Number of resolution points. The default is 300. """ psin, closed_fluxsurfaces = get_contours(gEQDSK, Npsi) - h = closed_fluxsurfaces[-1][:, 1].max() - \ - closed_fluxsurfaces[-1][:, 1].min() - dh_target = h/nres - - # Get flux surface volumes - hs = np.linspace(closed_fluxsurfaces[-1][:, 1].min()+dh_target, - closed_fluxsurfaces[-1][:, 1].max()-dh_target, nres) - dh = hs[1] - hs[0] Volgrid = np.zeros(len(closed_fluxsurfaces)) Agrid = np.zeros(len(closed_fluxsurfaces)) for icontour, contour in enumerate(closed_fluxsurfaces): - xinners = np.zeros(nres) - xouters = np.zeros(nres) - for i in range(nres): - xs = np.zeros(2) - k = 0 - # find the two intervals that cross the height hs[i] - for j in range(len(contour)-1): - if (hs[i] - contour[j][1])*(hs[i] - contour[j+1][1]) < 0: - # interpolate to find the x value - x = contour[j][0] + (hs[i] - contour[j][1])*(contour[j+1] - [0] - contour[j][0])/(contour[j+1][1] - contour[j][1]) - xs[k] = x - k += 1 - if k != 2: - # raise ValueError('No two x values found') - continue - xinner = min(xs) - xouter = max(xs) - xinners[i] = xinner - xouters[i] = xouter - - # Trapezoidal sum, assuming small dr - V = 0 - # Bottom cap - V += 0.5*np.pi*dh * (xouters[0]**2 - xinners[0]**2) - # Middle - for i in range(nres-1): - V += np.pi*dh * (xouters[i]**2 + 0.5*(xouters[i+1]**2 - xouters[i]**2)) - \ - np.pi*dh * (xinners[i]**2 + 0.5 * - (xinners[i+1]**2 - xinners[i]**2)) - # Top cap - V += 0.5*np.pi*dh * (xouters[-1]**2 - xinners[-1]**2) - Volgrid[icontour] = V + r = contour[:, 0] + z = contour[:, 1] + # Volume of revolution about R=0. + # V = (pi/3) sum (r_i + r_{i+1})(r_i z_{i+1} - r_{i+1} z_i). + cross = r[:-1]*z[1:] - r[1:]*z[:-1] + Volgrid[icontour] = np.abs(np.pi/3 * np.sum((r[:-1] + r[1:])*cross)) # Get the surface area of the flux surface d = np.diff(contour, axis=0) ds = np.sqrt(d[:, 0]**2 + d[:, 1]**2) @@ -288,7 +251,7 @@ def get_current_density(gEQDSK: dict, Npsi: int=50): psirz = gEQDSK['psirz'] RR, _ = np.meshgrid(rs, zs) - psin, volgrid, agrid, fs = get_fluxvolumes(gEQDSK, Npsi) + psin, fs = get_contours(gEQDSK, Npsi) ffp = np.asarray(gEQDSK['ffprim']) psi = np.linspace(gEQDSK['psimag'],gEQDSK['psibry'],np.shape(ffp)[0]) From 90975431790d60e49fe908e7ceef6affde8673ad Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 03:38:09 -0400 Subject: [PATCH 03/14] Begin work removing jit classes --- src/openpopcon.py | 507 ++++++++++++++++++++++++++++++---------------- 1 file changed, 338 insertions(+), 169 deletions(-) diff --git a/src/openpopcon.py b/src/openpopcon.py index 22360e7..a881e62 100644 --- a/src/openpopcon.py +++ b/src/openpopcon.py @@ -23,6 +23,7 @@ import json from .lib.openpopcon_util import * import numba as nb +from collections import namedtuple from .lib import phys_lib as phys import shutil import datetime @@ -699,63 +700,201 @@ def _P_OH_prof(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float) -> J = self.Itot*1e6*self.get_profile(rho, 0) return 1e-6*eta_NC*J**2 - def Q_fusion(self, T_i_keV:float, n_e_20:float, Paux:float) -> float: - """ - Physical fusion gain factor. - """ - T_e_keV = T_i_keV/self.tipeak_over_tepeak - dil = self.plasma_dilution(T_e_keV) - n_i_20 = n_e_20*dil - P_fusion = self.volume_integral(self.sqrtpsin, self._P_fusion(self.sqrtpsin, T_i_keV, n_i_20)) - P_OH = self.volume_integral(self.sqrtpsin, self._P_OH_prof(self.sqrtpsin, T_e_keV, n_e_20)) - if Paux == 0: - return 9999999. - else: - return P_fusion/(Paux + P_OH) - + +@nb.njit(cache=True) +def Q_fusion(s, T_i_keV, n_e_20, Paux): + """Physical fusion gain factor.""" + T_e_keV = T_i_keV/s.tipeak_over_tepeak + dil = plasma_dilution(s, T_e_keV) + n_i_20 = n_e_20*dil + P_fusion = volume_integral(s, s.sqrtpsin, _P_fusion(s, s.sqrtpsin, T_i_keV, n_i_20)) + P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + if Paux == 0: + return 9999999. + else: + return P_fusion/(Paux + P_OH) + + +#----------------------------------------------------------------------- +# Power balance solver +#----------------------------------------------------------------------- + +@nb.njit(cache=True) +def P_aux_impfrac(s, n_e_20, T_i_keV): + """ + Closed-form power balance solver for the impurity-fraction-fixed mode. + """ + T_e_keV = T_i_keV/s.tipeak_over_tepeak + dil = plasma_dilution(s, T_e_keV) + n_i_20 = n_e_20*dil + line_average_fac = np.average(get_profile(s, s.sqrtpsin, 1)) + P_fusion_heating = volume_integral(s, s.sqrtpsin, _P_fusion_heating(s, s.sqrtpsin, T_i_keV, n_i_20)) + P_ohmic_heating = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + W_tot = volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20)) + P_brem = volume_integral(s, s.sqrtpsin, _P_brem_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_synch = volume_integral(s, s.sqrtpsin, _P_synch(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_imp = volume_integral(s, s.sqrtpsin, _P_impurity_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) + alpha = s.Pheat_alpha + K = tauE_scalinglaw(s, 1.0, n_e_20*line_average_fac) + # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) + P_heat = (W_tot/K)**(1.0/(1.0+alpha)) + # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch + P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch + + # P_SOL < 0: impurity radiation exceeds the confinement loss, which at + # balance equals P_heat. The impurity power is assumed to displace what + # would otherwise be conductive/turbulent/instability-driven loss, so it + # radiates power away that would otherwise cross the separatrix. Such a + # state is not physical; flag it. + if P_imp > P_heat: + if s.verbosity > 0: + print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") + P_aux = 99999. + + if np.isnan(P_aux): + if s.verbosity > 0: + print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") + P_aux = 99999. + + return P_aux + #------------------------------------------------------------------- + # Setup functions + #------------------------------------------------------------------- + + def build_state(self): + """ + """ + def _arr(x): + return np.ascontiguousarray(x, dtype=np.float64) + s = State( + R=np.float64(self.R), a=np.float64(self.a), kappa=np.float64(self.kappa), + delta=np.float64(self.delta), B0=np.float64(self.B0), Ip=np.float64(self.Ip), + Itot=np.float64(self.Itot), M_i=np.float64(self.M_i), + tipeak_over_tepeak=np.float64(self.tipeak_over_tepeak), + fuel=int(self.fuel), nr=int(self.nr), + sqrtpsin=_arr(self.sqrtpsin), volgrid=_arr(self.volgrid), agrid=_arr(self.agrid), + impurityfractions=_arr(self.impurityfractions), + rdefined=bool(self.rdefined), volgriddefined=bool(self.volgriddefined), + agriddefined=bool(self.agriddefined), + jdefined=bool(self._jdefined), nedefined=bool(self._nedefined), + nidefined=bool(self._nidefined), Tidefined=bool(self._Tidefined), + Tedefined=bool(self._Tedefined), qdefined=bool(self._qdefined), + ftrappeddefined=bool(self._ftrappeddefined), extradefined=bool(self._extradefined), + j_alpha1=np.float64(self.j_alpha1), j_alpha2=np.float64(self.j_alpha2), j_offset=np.float64(self.j_offset), + ne_alpha1=np.float64(self.ne_alpha1), ne_alpha2=np.float64(self.ne_alpha2), ne_offset=np.float64(self.ne_offset), + ni_alpha1=np.float64(self.ni_alpha1), ni_alpha2=np.float64(self.ni_alpha2), ni_offset=np.float64(self.ni_offset), + Ti_alpha1=np.float64(self.Ti_alpha1), Ti_alpha2=np.float64(self.Ti_alpha2), Ti_offset=np.float64(self.Ti_offset), + Te_alpha1=np.float64(self.Te_alpha1), Te_alpha2=np.float64(self.Te_alpha2), Te_offset=np.float64(self.Te_offset), + j_prof=_arr(self.j_prof), ne_prof=_arr(self.ne_prof), ni_prof=_arr(self.ni_prof), + Te_prof=_arr(self.Te_prof), Ti_prof=_arr(self.Ti_prof), q_prof=_arr(self.q_prof), + ftrapped_prof=_arr(self.ftrapped_prof), extraprof=_arr(self.extraprof), + H_fac=np.float64(self.H_fac), scaling_const=np.float64(self.scaling_const), + M_i_alpha=np.float64(self.M_i_alpha), Ip_alpha=np.float64(self.Ip_alpha), + R_alpha=np.float64(self.R_alpha), a_alpha=np.float64(self.a_alpha), + kappa_alpha=np.float64(self.kappa_alpha), B0_alpha=np.float64(self.B0_alpha), + Pheat_alpha=np.float64(self.Pheat_alpha), n20_alpha=np.float64(self.n20_alpha), + resistivity_alg=int(self.resistivity_alg), verbosity=int(self.verbosity), + V=np.float64(0.0), + ) + # Precompute V through the identical jitted path used elsewhere. + v = volume_integral(s, s.sqrtpsin, np.ones_like(s.sqrtpsin)) + self.state = s._replace(V=np.float64(v)) + return self.state + + #------------------------------------------------------------------- + # Properties + #------------------------------------------------------------------- + + @property + def n_GR(self): + """Greenwald density in 10^20/m^3.""" + return self.Ip/(np.pi*self.a**2) + + @property + def V(self): + """Plasma volume (in last closed flux surface) in m^3.""" + return self.state.V + + @property + def A(self): + """Plasma surface area (in last closed flux surface) in m^2.""" + return self.agrid[-1] + #------------------------------------------------------------------- - # Power Balance Relaxation Solvers + # Physics delegators (call the cached free functions on self.state) #------------------------------------------------------------------- + def get_profile(self, rho, profid): + return get_profile(self.state, rho, profid) + + def volume_integral(self, rho, func): + return volume_integral(self.state, rho, func) + + def Zeff(self, T_e_keV): + return Zeff(self.state, T_e_keV) + + def plasma_dilution(self, T_e_keV): + return plasma_dilution(self.state, T_e_keV) + + def eta_NC(self, rho, T_e_keV, n_e_20): + return eta_NC(self.state, rho, T_e_keV, n_e_20) + + def Vloop(self, T_e_keV, n_e_20): + return Vloop(self.state, T_e_keV, n_e_20) + + def BetaN(self, T_i_keV, n_e_20): + return BetaN(self.state, T_i_keV, n_e_20) + + def tauE_scalinglaw(self, Pheat, n_e_20): + return tauE_scalinglaw(self.state, Pheat, n_e_20) + + def tauE_H98(self, Pheat, n_e_20): + return tauE_H98(self.state, Pheat, n_e_20) + + def tauE_H89(self, Pheat, n_e_20): + return tauE_H89(self.state, Pheat, n_e_20) + + def _W_tot_prof(self, rho, T_i_keV, n_e_20): + return _W_tot_prof(self.state, rho, T_i_keV, n_e_20) + + def _P_DDpT_prof(self, rho, T_i_keV, n_i_20): + return _P_DDpT_prof(self.state, rho, T_i_keV, n_i_20) + + def _P_DDnHe3_prof(self, rho, T_i_keV, n_i_20): + return _P_DDnHe3_prof(self.state, rho, T_i_keV, n_i_20) + + def _P_DTnHe4_prof(self, rho, T_i_keV, n_i_20): + return _P_DTnHe4_prof(self.state, rho, T_i_keV, n_i_20) + + def _P_fusion_heating(self, rho, T_i_keV, n_i_20): + return _P_fusion_heating(self.state, rho, T_i_keV, n_i_20) + + def _P_fusion(self, rho, T_i_keV, n_i_20): + return _P_fusion(self.state, rho, T_i_keV, n_i_20) + + def _P_brem_rad(self, rho, T_e_keV, n_e_20): + return _P_brem_rad(self.state, rho, T_e_keV, n_e_20) + + def _P_synch(self, rho, T_e_keV, n_e_20): + return _P_synch(self.state, rho, T_e_keV, n_e_20) + + def _P_impurity_rad(self, rho, T_e_keV, n_e_20): + return _P_impurity_rad(self.state, rho, T_e_keV, n_e_20) + + def _P_rad(self, rho, T_e_keV, n_e_20): + return _P_rad(self.state, rho, T_e_keV, n_e_20) + + def _P_OH_prof(self, rho, T_e_keV, n_e_20): + return _P_OH_prof(self.state, rho, T_e_keV, n_e_20) + + def Q_fusion(self, T_i_keV, n_e_20, Paux): + return Q_fusion(self.state, T_i_keV, n_e_20, Paux) + def P_aux_impfrac(self, n_e_20, T_i_keV): - """ - Closed-form power balance solver for the impurity-fraction-fixed mode. - """ - T_e_keV = T_i_keV/self.tipeak_over_tepeak - dil = self.plasma_dilution(T_e_keV) - n_i_20 = n_e_20*dil - line_average_fac = np.average(self.get_profile(self.sqrtpsin, 1)) - P_fusion_heating = self.volume_integral(self.sqrtpsin, self._P_fusion_heating(self.sqrtpsin, T_i_keV, n_i_20)) - P_ohmic_heating = self.volume_integral(self.sqrtpsin, self._P_OH_prof(self.sqrtpsin, T_e_keV, n_e_20)) - W_tot = self.volume_integral(self.sqrtpsin, self._W_tot_prof(self.sqrtpsin, T_i_keV, n_e_20)) - P_brem = self.volume_integral(self.sqrtpsin, self._P_brem_rad(self.sqrtpsin, T_e_keV, n_e_20)) - P_synch = self.volume_integral(self.sqrtpsin, self._P_synch(self.sqrtpsin, T_e_keV, n_e_20)) - P_imp = self.volume_integral(self.sqrtpsin, self._P_impurity_rad(self.sqrtpsin, T_e_keV, n_e_20)) - alpha = self.Pheat_alpha - K = self.tauE_scalinglaw(1.0, n_e_20*line_average_fac) - # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) - P_heat = (W_tot/K)**(1.0/(1.0+alpha)) - # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch - P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch - - # P_SOL < 0: impurity radiation exceeds the confinement loss, which at - # balance equals P_heat. The impurity power is assumed to displace what - # would otherwise be conductive/turbulent/instability-driven loss, so it - # radiates power away that would otherwise cross the separatrix. Such a - # state is not physical; flag it. - if P_imp > P_heat: - if self.verbosity > 0: - print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") - P_aux = 99999. - - if np.isnan(P_aux): - if self.verbosity > 0: - print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") - P_aux = 99999. + return P_aux_impfrac(self.state, n_e_20, T_i_keV) - return P_aux #------------------------------------------------------------------- - # Setup functions + # Setup functions (plain Python; mutate instance attributes) #------------------------------------------------------------------- def _addextprof(self, extprofvals, profid): @@ -859,10 +998,6 @@ def _set_alpha_and_offset(self, alpha1, alpha2, offset, profid:int): self.Te_offset = offset else: raise ValueError("Invalid profile ID.") - - # def _addextprof_imps(self, extprofvals): - # # TODO: implement this - # pass def _setup_profs(self) -> None: """ @@ -899,7 +1034,6 @@ def _setup_profs(self) -> None: self.Te_prof = (1-self.Te_offset)*(1-rho**self.Te_alpha1)**self.Te_alpha2 + self.Te_offset self._Tedefined = True if not self._qdefined: - # self.q_a = 2*np.pi*self.a**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self.q_prof = 2*np.pi*(self.a*rho)**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self._qdefined = True if not self._ftrappeddefined: @@ -1063,8 +1197,13 @@ def read(self, filename: str) -> None: ('vloop', nb.float64[:,:]), ('betaN', nb.float64[:,:]) ] -# jit compiled -@nb.experimental.jitclass(spec = POPCON_data_spec) # type: ignore +COMPUTED_FIELDS = [ + 'n_i_20_max', 'n_i_20_avg', 'Pfusion', 'Pfusionheating', 'Pohmic', + 'Pbrems', 'Psynch', 'Pimprad', 'Prad', 'Pheat', 'Wtot', 'tauE', + 'Pconf', 'Ploss', 'Pdd', 'Pdt', 'Palpha', 'Psol', 'f_rad', 'Q', + 'H89', 'H98', 'vloop', 'betaN', +] +ComputedOutputs = namedtuple('ComputedOutputs', COMPUTED_FIELDS) class POPCON_data: """ Class POPCON_data @@ -1186,11 +1325,6 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile self.scalinglawfile = scalinglawfile self.__check_settings() - compile_test = POPCON_algorithms() - try: - compile_test.P_aux_impfrac(1.0, 1.0) - except: - pass pass @@ -1220,6 +1354,7 @@ def run_POPCON(self, setuponly=False) -> None: self.algorithms.B0_alpha = slparam['B0_alpha'] self.algorithms.Pheat_alpha = slparam['Pheat_alpha'] self.algorithms.n20_alpha = slparam['n20_alpha'] + self.algorithms.build_state() if not setuponly: self.__solve() @@ -1255,13 +1390,13 @@ def __solve(self) -> None: print("Solving power balance equations") if self.settings.parallel: - Paux = solve_nT_par(params, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.accel, + Paux = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, + n_e_20, T_i_keV, self.settings.accel, self.settings.err, self.settings.maxit, self.settings.verbosity) else: - Paux = solve_nT(params, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.accel, + Paux = solve_nT(params.state, self.settings.Nn, self.settings.NTi, + n_e_20, T_i_keV, self.settings.accel, self.settings.err, self.settings.maxit, self.settings.verbosity) @@ -1269,34 +1404,14 @@ def __solve(self) -> None: if self.settings.verbosity > 0: print("Power balance solutions found. Populating output arrays.") self.output.Paux = Paux - self.output.n_i_20_avg = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.n_i_20_max = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pfusion = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pfusionheating = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pohmic = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pbrems = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Psynch = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pimprad = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Prad = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pheat = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Wtot = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.tauE = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pconf = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Ploss = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pdd = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Pdt = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Palpha = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Psol = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.f_rad = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.Q = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.H89 = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.H98 = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.vloop = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) - self.output.betaN = -1*np.ones((self.settings.Nn,self.settings.NTi),dtype=np.float64) if self.settings.parallel: - self.output = populate_outputs_par(params, self.output, self.settings.Nn, self.settings.NTi, self.settings.verbosity) + computed = populate_outputs_par(params.state, n_e_20, T_i_keV, T_e_keV, Paux, + self.settings.Nn, self.settings.NTi, self.settings.verbosity) else: - self.output = populate_outputs(params, self.output, self.settings.Nn, self.settings.NTi, self.settings.verbosity) + computed = populate_outputs(params.state, n_e_20, T_i_keV, T_e_keV, Paux, + self.settings.Nn, self.settings.NTi, self.settings.verbosity) + for name in computed._fields: + setattr(self.output, name, getattr(computed, name)) pass @@ -1809,7 +1924,7 @@ def __get_geometry(self) -> None: self.algorithms.kappa = geq_kappa if np.abs(geq_delta/self.settings.delta - 1) > 0.1: print(f"Warning: gEQDSK triangularity ({geq_delta}) differs significantly from settings delta ({self.settings.delta}). Defaulting to gEQDSK value.") - self.settings.delta + self.settings.delta = geq_delta self.algorithms.delta = geq_delta if np.abs(Ipint/self.settings.Ip - 1) > 0.1: print(f"Warning: gEQDSK Ip ({Ipint}) differs significantly from settings Ip ({self.settings.Ip}). Defaulting to gEQDSK value.") @@ -1839,10 +1954,9 @@ def update_plotsettings(self, plotsettingsfile = None): self.plotsettings = POPCON_plotsettings(self.plotsettingsfile) pass -# @conditional_njit(enable=self.settings.parallel,parallel=self.settings.parallel) -@nb.njit(parallel=True) -def solve_nT_par(params:POPCON_algorithms, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, +@nb.njit(parallel=True, cache=True) +def solve_nT_par(state, nn:int, nT:int, + n_e_20:np.ndarray, T_i_keV:np.ndarray, accel:float=1.2, err:float=1e-5, maxit:int=1000, verbosity=1): """ @@ -1857,13 +1971,13 @@ def solve_nT_par(params:POPCON_algorithms, nn:int, nT:int, if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = params.P_aux_impfrac(n_e_20[i], T_i_keV[j]) - + Paux[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) + return Paux -@nb.njit(parallel=False) -def solve_nT(params:POPCON_algorithms, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, +@nb.njit(parallel=False, cache=True) +def solve_nT(state, nn:int, nT:int, + n_e_20:np.ndarray, T_i_keV:np.ndarray, accel:float=1.2, err:float=1e-5, maxit:int=1000, verbosity=1): """ @@ -1878,92 +1992,147 @@ def solve_nT(params:POPCON_algorithms, nn:int, nT:int, if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = params.P_aux_impfrac(n_e_20[i], T_i_keV[j]) + Paux[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) return Paux -@nb.njit(parallel=True) -def populate_outputs_par(params:POPCON_algorithms, result:POPCON_data, Nn, NTi, verbosity=1): +@nb.njit(parallel=True, cache=True) +def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, verbosity=1): """ Compiling this function is handy as it allows for parallelization of the most computationally expensive part of the code. """ - rho = params.sqrtpsin - line_average_fac = np.average(params.get_profile(rho, 1)) + rho = state.sqrtpsin + line_average_fac = np.average(get_profile(state, rho, 1)) + n_i_20_max = np.empty((Nn,NTi),dtype=np.float64) + n_i_20_avg = np.empty((Nn,NTi),dtype=np.float64) + Pfusion = np.empty((Nn,NTi),dtype=np.float64) + Pfusionheating = np.empty((Nn,NTi),dtype=np.float64) + Pohmic = np.empty((Nn,NTi),dtype=np.float64) + Pbrems = np.empty((Nn,NTi),dtype=np.float64) + Psynch = np.empty((Nn,NTi),dtype=np.float64) + Pimprad = np.empty((Nn,NTi),dtype=np.float64) + Prad = np.empty((Nn,NTi),dtype=np.float64) + Pheat = np.empty((Nn,NTi),dtype=np.float64) + Wtot = np.empty((Nn,NTi),dtype=np.float64) + tauE = np.empty((Nn,NTi),dtype=np.float64) + Pconf = np.empty((Nn,NTi),dtype=np.float64) + Ploss = np.empty((Nn,NTi),dtype=np.float64) + Pdd = np.empty((Nn,NTi),dtype=np.float64) + Pdt = np.empty((Nn,NTi),dtype=np.float64) + Palpha = np.empty((Nn,NTi),dtype=np.float64) + Psol = np.empty((Nn,NTi),dtype=np.float64) + f_rad = np.empty((Nn,NTi),dtype=np.float64) + Q = np.empty((Nn,NTi),dtype=np.float64) + H89 = np.empty((Nn,NTi),dtype=np.float64) + H98 = np.empty((Nn,NTi),dtype=np.float64) + vloop = np.empty((Nn,NTi),dtype=np.float64) + betaN = np.empty((Nn,NTi),dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): if verbosity > 1: - print("Populating n20=",result.n_e_20_max[i],", T=",result.T_i_max[j]," keV") - dil = params.plasma_dilution(result.T_e_max[j]) - result.n_i_20_max[i,j] = result.n_e_20_max[i]*dil - result.n_i_20_avg[i,j] = result.n_i_20_max[i,j]*params.volume_integral(rho,params.get_profile(rho, 2))/params.V - result.Pfusion[i,j] = params.volume_integral(rho,params._P_fusion(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pfusionheating[i,j] = params.volume_integral(rho,params._P_fusion_heating(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pohmic[i,j] = params.volume_integral(rho,params._P_OH_prof(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Pbrems[i,j] = params.volume_integral(rho,params._P_brem_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Psynch[i,j] = params.volume_integral(rho,params._P_synch(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Pimprad[i,j] = params.volume_integral(rho,params._P_impurity_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Prad[i,j] = result.Pbrems[i,j] + result.Pimprad[i,j] + result.Psynch[i,j] - result.Pheat[i,j] = result.Pfusionheating[i,j] + result.Pohmic[i,j] + result.Paux[i,j] - result.Pbrems[i,j] - result.Wtot[i,j] = params.volume_integral(rho,params._W_tot_prof(rho,result.T_i_max[j],result.n_e_20_max[i])) - result.tauE[i,j] = params.tauE_scalinglaw(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.Pconf[i,j] = result.Wtot[i,j]/result.tauE[i,j] - result.Ploss[i,j] = result.Pconf[i,j] - result.Pdd[i,j] = params.volume_integral(rho,params._P_DDnHe3_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pdd[i,j] += params.volume_integral(rho,params._P_DDpT_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pdt[i,j] = params.volume_integral(rho,params._P_DTnHe4_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Palpha[i,j] = result.Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) - result.Psol[i,j] = result.Ploss[i,j] - result.Prad[i,j] - result.f_rad[i,j] = result.Prad[i,j] / result.Ploss[i,j] - result.Q[i,j] = params.Q_fusion(result.T_i_max[j], result.n_e_20_max[i], result.Paux[i,j]) - result.H89[i,j] = result.tauE[i,j]/params.tauE_H89(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.H98[i,j] = result.tauE[i,j]/params.tauE_H98(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.vloop[i,j] = params.Vloop(result.T_e_max[j], result.n_e_20_max[i]) - result.betaN[i,j] = 100*params.BetaN(result.T_i_max[j], result.n_e_20_max[i]) # in percent - return result - -@nb.njit(parallel=False) -def populate_outputs(params:POPCON_algorithms, result:POPCON_data, Nn, NTi, verbosity=1): + print("Populating n20=",n_e_20_max[i],", T=",T_i_max[j]," keV") + dil = plasma_dilution(state, T_e_max[j]) + n_i_20_max[i,j] = n_e_20_max[i]*dil + n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V + Pfusion[i,j] = volume_integral(state, rho,_P_fusion(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pfusionheating[i,j] = volume_integral(state, rho,_P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pohmic[i,j] = volume_integral(state, rho,_P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i])) + Pbrems[i,j] = volume_integral(state, rho,_P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i])) + Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) + Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) + Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] + Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] + Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) + tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + Pconf[i,j] = Wtot[i,j]/tauE[i,j] + Ploss[i,j] = Pconf[i,j] + Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Palpha[i,j] = Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) + Psol[i,j] = Ploss[i,j] - Prad[i,j] + f_rad[i,j] = Prad[i,j] / Ploss[i,j] + Q[i,j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i,j]) + H89[i,j] = tauE[i,j]/tauE_H89(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + H98[i,j] = tauE[i,j]/tauE_H98(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + vloop[i,j] = Vloop(state, T_e_max[j], n_e_20_max[i]) + betaN[i,j] = 100*BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent + return ComputedOutputs(n_i_20_max, n_i_20_avg, Pfusion, Pfusionheating, Pohmic, + Pbrems, Psynch, Pimprad, Prad, Pheat, Wtot, tauE, + Pconf, Ploss, Pdd, Pdt, Palpha, Psol, f_rad, Q, + H89, H98, vloop, betaN) + + +@nb.njit(parallel=False, cache=True) +def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, verbosity=1): """ Compiling this function is handy as it allows for parallelization of the most computationally expensive part of the code. """ - rho = params.sqrtpsin - line_average_fac = np.average(params.get_profile(rho, 1)) + rho = state.sqrtpsin + line_average_fac = np.average(get_profile(state, rho, 1)) + n_i_20_max = np.empty((Nn,NTi),dtype=np.float64) + n_i_20_avg = np.empty((Nn,NTi),dtype=np.float64) + Pfusion = np.empty((Nn,NTi),dtype=np.float64) + Pfusionheating = np.empty((Nn,NTi),dtype=np.float64) + Pohmic = np.empty((Nn,NTi),dtype=np.float64) + Pbrems = np.empty((Nn,NTi),dtype=np.float64) + Psynch = np.empty((Nn,NTi),dtype=np.float64) + Pimprad = np.empty((Nn,NTi),dtype=np.float64) + Prad = np.empty((Nn,NTi),dtype=np.float64) + Pheat = np.empty((Nn,NTi),dtype=np.float64) + Wtot = np.empty((Nn,NTi),dtype=np.float64) + tauE = np.empty((Nn,NTi),dtype=np.float64) + Pconf = np.empty((Nn,NTi),dtype=np.float64) + Ploss = np.empty((Nn,NTi),dtype=np.float64) + Pdd = np.empty((Nn,NTi),dtype=np.float64) + Pdt = np.empty((Nn,NTi),dtype=np.float64) + Palpha = np.empty((Nn,NTi),dtype=np.float64) + Psol = np.empty((Nn,NTi),dtype=np.float64) + f_rad = np.empty((Nn,NTi),dtype=np.float64) + Q = np.empty((Nn,NTi),dtype=np.float64) + H89 = np.empty((Nn,NTi),dtype=np.float64) + H98 = np.empty((Nn,NTi),dtype=np.float64) + vloop = np.empty((Nn,NTi),dtype=np.float64) + betaN = np.empty((Nn,NTi),dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): if verbosity > 1: - print("Populating n20=",result.n_e_20_max[i],", T=",result.T_i_max[j]," keV") - dil = params.plasma_dilution(result.T_e_max[j]) - result.n_i_20_max[i,j] = result.n_e_20_max[i]*dil - result.n_i_20_avg[i,j] = result.n_i_20_max[i,j]*params.volume_integral(rho,params.get_profile(rho, 2))/params.V - result.Pfusion[i,j] = params.volume_integral(rho,params._P_fusion(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pfusionheating[i,j] = params.volume_integral(rho,params._P_fusion_heating(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pohmic[i,j] = params.volume_integral(rho,params._P_OH_prof(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Pbrems[i,j] = params.volume_integral(rho,params._P_brem_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Psynch[i,j] = params.volume_integral(rho,params._P_synch(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Pimprad[i,j] = params.volume_integral(rho,params._P_impurity_rad(rho, result.T_e_max[j], result.n_e_20_max[i])) - result.Prad[i,j] = result.Pbrems[i,j] + result.Pimprad[i,j] + result.Psynch[i,j] - result.Pheat[i,j] = result.Pfusionheating[i,j] + result.Pohmic[i,j] + result.Paux[i,j] - result.Pbrems[i,j] - result.Wtot[i,j] = params.volume_integral(rho,params._W_tot_prof(rho,result.T_i_max[j],result.n_e_20_max[i])) - result.tauE[i,j] = params.tauE_scalinglaw(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.Pconf[i,j] = result.Wtot[i,j]/result.tauE[i,j] - result.Ploss[i,j] = result.Pconf[i,j] - result.Pdd[i,j] = params.volume_integral(rho,params._P_DDnHe3_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pdd[i,j] += params.volume_integral(rho,params._P_DDpT_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Pdt[i,j] = params.volume_integral(rho,params._P_DTnHe4_prof(rho, result.T_i_max[j], result.n_i_20_max[i,j])) - result.Palpha[i,j] = result.Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) - result.Psol[i,j] = result.Ploss[i,j] - result.Prad[i,j] - result.f_rad[i,j] = result.Prad[i,j] / result.Ploss[i,j] - result.Q[i,j] = params.Q_fusion(result.T_i_max[j], result.n_e_20_max[i], result.Paux[i,j]) - result.H89[i,j] = result.tauE[i,j]/params.tauE_H89(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.H98[i,j] = result.tauE[i,j]/params.tauE_H98(result.Pheat[i,j], result.n_e_20_max[i]*line_average_fac) - result.vloop[i,j] = params.Vloop(result.T_e_max[j], result.n_e_20_max[i]) - result.betaN[i,j] = 100*params.BetaN(result.T_i_max[j], result.n_e_20_max[i]) # in percent - return result + print("Populating n20=",n_e_20_max[i],", T=",T_i_max[j]," keV") + dil = plasma_dilution(state, T_e_max[j]) + n_i_20_max[i,j] = n_e_20_max[i]*dil + n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V + Pfusion[i,j] = volume_integral(state, rho,_P_fusion(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pfusionheating[i,j] = volume_integral(state, rho,_P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pohmic[i,j] = volume_integral(state, rho,_P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i])) + Pbrems[i,j] = volume_integral(state, rho,_P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i])) + Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) + Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) + Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] + Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] + Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) + tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + Pconf[i,j] = Wtot[i,j]/tauE[i,j] + Ploss[i,j] = Pconf[i,j] + Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) + Palpha[i,j] = Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) + Psol[i,j] = Ploss[i,j] - Prad[i,j] + f_rad[i,j] = Prad[i,j] / Ploss[i,j] + Q[i,j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i,j]) + H89[i,j] = tauE[i,j]/tauE_H89(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + H98[i,j] = tauE[i,j]/tauE_H98(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) + vloop[i,j] = Vloop(state, T_e_max[j], n_e_20_max[i]) + betaN[i,j] = 100*BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent + return ComputedOutputs(n_i_20_max, n_i_20_avg, Pfusion, Pfusionheating, Pohmic, + Pbrems, Psynch, Pimprad, Prad, Pheat, Wtot, tauE, + Pconf, Ploss, Pdd, Pdt, Palpha, Psol, f_rad, Q, + H89, H98, vloop, betaN) class POPCON_scan(POPCON): """ From 25748b46de40a5b9cdec322d994514707efcbedb Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 04:05:46 -0400 Subject: [PATCH 04/14] Finished removing jit classes --- src/openpopcon.py | 1177 ++++++++++++++++++++++----------------------- 1 file changed, 579 insertions(+), 598 deletions(-) diff --git a/src/openpopcon.py b/src/openpopcon.py index a881e62..ef061bf 100644 --- a/src/openpopcon.py +++ b/src/openpopcon.py @@ -12,6 +12,7 @@ Contributors: - Matthew Pharr (2024-07-09) +- Alexei Zhurba (2025-04-04) """ @@ -33,88 +34,539 @@ DEFAULT_SCALINGLAWS = get_POPCON_homedir(['resources','scalinglaws.yml']) # core of calculations -# jit compiled -@nb.experimental.jitclass(spec = [ - ('R', nb.float64), - ('a', nb.float64), - ('kappa', nb.float64), - ('delta', nb.float64), - ('B0', nb.float64), - ('Ip', nb.float64), - ('Itot', nb.float64), - ('H', nb.float64), - ('M_i', nb.float64), - ('tipeak_over_tepeak', nb.float64), - ('fuel', nb.int64), - ('sqrtpsin', nb.float64[:]), - ('volgrid', nb.float64[:]), - ('agrid', nb.float64[:]), - ('nr', nb.int64), - ('impurityfractions', nb.float64[:]), - ('geomsdefined', nb.boolean), - ('rdefined', nb.boolean), - ('volgriddefined', nb.boolean), - ('agriddefined', nb.boolean), - ('extprof_imps', nb.boolean), - ('impsdefined', nb.boolean), - ('_jdefined', nb.boolean), - ('_nedefined', nb.boolean), - ('_nidefined', nb.boolean), - ('_Tidefined', nb.boolean), - ('_Tedefined', nb.boolean), - ('_qdefined', nb.boolean), - ('_ftrappeddefined', nb.boolean), - ('_extradefined', nb.boolean), - ('j_alpha1', nb.float64), - ('j_alpha2', nb.float64), - ('j_offset', nb.float64), - ('ne_alpha1', nb.float64), - ('ne_alpha2', nb.float64), - ('ne_offset', nb.float64), - ('ni_alpha1', nb.float64), - ('ni_alpha2', nb.float64), - ('ni_offset', nb.float64), - ('Ti_alpha1', nb.float64), - ('Ti_alpha2', nb.float64), - ('Ti_offset', nb.float64), - ('Te_alpha1', nb.float64), - ('Te_alpha2', nb.float64), - ('Te_offset', nb.float64), - ('j_prof', nb.float64[:]), - ('ne_prof', nb.float64[:]), - ('ni_prof', nb.float64[:]), - ('Te_prof', nb.float64[:]), - ('Ti_prof', nb.float64[:]), - ('q_prof', nb.float64[:]), - ('ftrapped_prof', nb.float64[:]), - ('extraprof', nb.float64[:]), - ('extprof_impfracs', nb.float64[:]), - ('H_fac', nb.float64), - ('scaling_const', nb.float64), - ('M_i_alpha', nb.float64), - ('Ip_alpha', nb.float64), - ('R_alpha', nb.float64), - ('a_alpha', nb.float64), - ('kappa_alpha', nb.float64), - ('B0_alpha', nb.float64), - ('Pheat_alpha', nb.float64), - ('n20_alpha', nb.float64), - ('resistivity_alg', nb.int16), - ('verbosity', nb.int64), - ]) # type: ignore +# jit compiled. Module level so cache=True works; jitclasses can't cache + +# Parameters the functions below operate on. namedtuple fields can't start +# with an underscore, so the _*defined flags drop it. V is constant after setup +State = namedtuple('State', [ + 'R', 'a', 'kappa', 'delta', 'B0', 'Ip', 'Itot', 'M_i', + 'tipeak_over_tepeak', 'fuel', 'nr', + 'sqrtpsin', 'volgrid', 'agrid', 'impurityfractions', + 'rdefined', 'volgriddefined', 'agriddefined', + 'jdefined', 'nedefined', 'nidefined', 'Tidefined', 'Tedefined', + 'qdefined', 'ftrappeddefined', 'extradefined', + 'j_alpha1', 'j_alpha2', 'j_offset', + 'ne_alpha1', 'ne_alpha2', 'ne_offset', + 'ni_alpha1', 'ni_alpha2', 'ni_offset', + 'Ti_alpha1', 'Ti_alpha2', 'Ti_offset', + 'Te_alpha1', 'Te_alpha2', 'Te_offset', + 'j_prof', 'ne_prof', 'ni_prof', 'Te_prof', 'Ti_prof', + 'q_prof', 'ftrapped_prof', 'extraprof', + 'H_fac', 'scaling_const', 'M_i_alpha', 'Ip_alpha', 'R_alpha', + 'a_alpha', 'kappa_alpha', 'B0_alpha', 'Pheat_alpha', 'n20_alpha', + 'resistivity_alg', 'verbosity', + 'V', +]) + +#------------------------------------------------------------------- +# Profiles and integration +#------------------------------------------------------------------- + +@nb.njit(cache=True) +def get_profile(s, rho, profid:int): + """ + Returns the profile for a given profile ID at a given rho. + Allows for easy interpolation at runtime and avoids implementing + many profile functions. + -3: Area grid + -2: Sqrt(psin) for geometry + -1: Volume grid + 0: J profile + 1: n_e profile + 2: n_i profile + 3: Ti profile + 4: Te profile + 5: q profile + 6: ftrapped profile + 7: bavg profile + """ + if profid == -3: + if not s.agriddefined: + raise ValueError("Area grid not defined.") + return np.interp(rho, s.sqrtpsin, s.agrid) + elif profid == -2: + if not s.rdefined: + raise ValueError("Geometry profiles not defined.") + return np.interp(rho, s.sqrtpsin, s.sqrtpsin) + elif profid == -1: + if not s.volgriddefined: + raise ValueError("Volume grid not defined.") + return np.interp(rho, s.sqrtpsin, s.volgrid) + elif profid == 0: + if not s.jdefined: + raise ValueError("J profile not defined.") + return np.interp(rho, s.sqrtpsin, s.j_prof) + elif profid == 1: + if not s.nedefined: + raise ValueError("n_e profile not defined.") + return np.interp(rho, s.sqrtpsin, s.ne_prof) + elif profid == 2: + if not s.nidefined: + raise ValueError("n_i profile not defined.") + return np.interp(rho, s.sqrtpsin, s.ni_prof) + elif profid == 3: + if not s.Tidefined: + raise ValueError("Ti profile not defined.") + return np.interp(rho, s.sqrtpsin, s.Ti_prof) + elif profid == 4: + if not s.Tedefined: + raise ValueError("Te profile not defined.") + return np.interp(rho, s.sqrtpsin, s.Te_prof) + elif profid == 5: + if not s.qdefined: + raise ValueError("q profile not defined.") + return np.interp(rho, s.sqrtpsin, s.q_prof) + elif profid == 6: + if not s.ftrappeddefined: + raise ValueError("ftrapped profile not defined.") + return np.interp(rho, s.sqrtpsin, s.ftrapped_prof) + elif profid == 7: + if not s.extradefined: + raise ValueError("extra profile not defined.") + return np.interp(rho, s.sqrtpsin, s.extraprof) + else: + raise ValueError("Invalid profile ID.") + +@nb.njit(cache=True) +def volume_integral(s, rho, func) -> float: + r""" + Integrates a function of rho dV-like: + + $\int_0^1 func(\rho) \frac{dV}{d\rho} d\rho$ + """ + # NOTE: profile must be an array of the same length as rho. + # Integrates functions of rho dV-like + V_interp = np.interp(rho, s.sqrtpsin, s.volgrid) + return np.trapz(func, V_interp) + +#------------------------------------------------------------------- +# Physical Quantities +#------------------------------------------------------------------- + +@nb.njit(cache=True) +def Zeff(s, T_e_keV) -> float: + """ + Effective ion charge. + + Zeff = sum ( n_i * Z_i^2 ) / n_e + """ + # n_i = n20 * species fraction + # n_e = n20 / dilution + # n20 cancels + + # Hydrogen isotopes + impurities + return ( (1-np.sum(s.impurityfractions)) + np.sum(s.impurityfractions*phys.get_Zeffs(T_e_keV)**2))*plasma_dilution(s, T_e_keV) + +@nb.njit(cache=True) +def plasma_dilution(s, T_e_keV) -> float: + """ + Plasma dilution factor; number of ions per electron. Always <=1. + """ + dil = 1/(1 + np.sum(s.impurityfractions*phys.get_Zeffs(T_e_keV))) + return dil + +# coefficient for Spitzer conductivity, necessary to obtain ohmic power +# def get_Cspitz(self, volavgcurr:bool, T0): +# Fz = (1+1.198*self.Zeff(T0) + 0.222*self.Zeff(T0)**2)/(1+2.966*self.Zeff(T0) + 0.753*self.Zeff(T0)**2) +# eta1 = 1.03e-4*self.Zeff(T0)*Fz +# j0avg = self.Ip/(np.pi*self.a**2*self.kappa)*1.0e6 +# if (volavgcurr == True): +# # TODO: Change this to use volgrid for averaging +# Cspitz = eta1*self.q_a*j0avg**2 +# else: +# Cspitz = eta1 +# Cspitz /= 1.6e-16*1.0e20 #unit conversion to keV 10^20 m^-3 +# return Cspitz + +# def get_eta_spitzer(self, rho, T0, n20): +# # Calculate the Spitzer resistivity in Ohm-m +# # eta_spitzer = 4 sqrt(2pi)/3 Z_eff e^2 sqrt(m_e) ln(Lambda) / (4 pi epsilon_0)^2 T_e^(3/2) +# # Const = 4 sqrt(2pi)/3 * 1.602e-19^2 * 9.109e-31 / ( (4 pi * 8.854e-12)^2 * 1.602e-16^3/2 ) +# # eta = const*Z_eff*ln(Lambda)*(T_e (keV))^(-3/2) +# return + +@nb.njit(cache=True) +def eta_NC(s, rho, T_e_keV:float, n_e_20:float): + """ + Neoclassical resistivity in Ohm-m. + + Equations 16-17 from [1] Jardin et al. 1993, or equation 6 from [8] Paz-Soldan et al. 2016 + """ + + if np.any(rho <= 0): + raise ValueError("Invalid rho value. Neoclassical resistivity not defined at rho=0.") + T_e_r = T_e_keV*get_profile(s, rho, 4) + n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + q = get_profile(s, rho, 5) + Zeffprof = np.empty_like(T_e_r) + for i in np.arange(T_e_r.shape[0]): + Zeffprof[i] = Zeff(s, T_e_r[i]) + # logLambda = 17.1-np.log(np.sqrt(n_e_r)/(T_e_r*1e3)) # From Jardin + logLambda = np.empty_like(Zeffprof) + where = T_e_r*1e3>10*Zeffprof**2 + elsewhere = np.logical_not(where) + logLambda[where] = 24 - np.log(np.sqrt(n_e_r)/(T_e_r*1e3))[where] # Plasma Formulary + logLambda[elsewhere] = 23 - np.log(np.sqrt(n_e_r)*Zeffprof/(T_e_r*1e3)**(3/2))[elsewhere] # Plasma Formulary + logLambda[logLambda<5] = 5 + eta_C = 1.03e-4 * logLambda * (T_e_r*1e3)**(-3/2) + + Lambda_E = 3.4/Zeffprof * (1.13 + Zeffprof) / (2.67 + Zeffprof) + C_R = 0.56/Zeffprof * (3.0 - Zeffprof) / (3.0 + Zeffprof) + xi = 0.58 + 0.2*Zeffprof + invaspect = s.a/s.R + + if not s.ftrappeddefined: + f_t = np.sqrt(2*rho*invaspect) + nu_star_e = 1/10.2e16 * s.R * q * n_e_r * np.exp(logLambda) / (f_t * invaspect * (T_e_r*1e3)**2) + eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t/( 1 + xi * nu_star_e ) ) + else: + f_t_prof = get_profile(s, rho, 6) + nu_star_e = 1/10.2e16 * s.R * q * n_e_r * np.exp(logLambda) / (f_t_prof * invaspect * (T_e_r*1e3)**2) + eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t_prof/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t_prof/( 1 + xi * nu_star_e ) ) + + + eta_NC = eta_C / eta_C_eta_NC_ratio + + if s.resistivity_alg == 0: + return eta_NC + + f_CL = (1+1.2*Zeffprof + 0.22*Zeffprof**2)/(1+3*Zeffprof + 0.75*Zeffprof**2) + + f_NC = 1/ ( 1- np.sqrt( 2*invaspect / (1 + invaspect) ) ) + + eta_NC_2 = eta_C * f_CL * f_NC + + if s.resistivity_alg == 1: + return eta_NC_2 + + if s.resistivity_alg == 2: + eta_NC_max = np.empty_like(eta_NC) + + for i in range(len(eta_NC)): + eta_NC_max[i] = max(eta_NC[i], eta_NC_2[i]) + + return eta_NC_max + + else: + raise ValueError("Invalid resistivity algorithm. Must be 0, 1, or 2.") + +@nb.njit(cache=True) +def Vloop(s, T_e_keV, n_e_20) -> float: + """ + Loop Voltage in Volts. + + V_loop = P_ohmic / Ip + """ + P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + return P_OH/s.Ip + +@nb.njit(cache=True) +def BetaN(s, T_i_keV, n_e_20) -> float: + """ + Normalized beta, beta*a*B0/Ip. + + beta = 2 mu0

/ (B^2) +

= int P dV / V (average pressure) + beta_N = beta a B0 / (Ip) + """ + P_avg = 1e6*volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20))/s.V + beta = 2*(4e-7*np.pi)*P_avg/(s.B0**2) + return beta*s.a*s.B0/s.Ip + +@nb.njit(cache=True) +def tauE_scalinglaw(s, Pheat, n_e_20) -> float: + """ + User-chosen confinement time scaling law + """ + tauE = s.H_fac*s.scaling_const + tauE *= s.M_i**s.M_i_alpha + tauE *= s.Ip**s.Ip_alpha + tauE *= s.R**s.R_alpha + tauE *= s.a**s.a_alpha + tauE *= s.kappa**s.kappa_alpha + tauE *= s.B0**s.B0_alpha + tauE *= Pheat**s.Pheat_alpha + tauE *= n_e_20**s.n20_alpha + return tauE + +@nb.njit(cache=True) +def tauE_H98(s, Pheat, n_e_20) -> float: + """ + H98y2 scaling law for comparison + """ + tauE = 0.145 + #M_i**(0.19)*Ip**(0.93)*R**(1.39)*a**(0.58)*kappa**(0.78)*B0**(0.15)*Pheat**(-0.69)*n20**(0.41) + tauE *= s.M_i**0.19 + tauE *= s.Ip**0.93 + tauE *= s.R**1.39 + tauE *= s.a**0.58 + tauE *= s.kappa**0.78 + tauE *= s.B0**0.15 + tauE *= Pheat**(-0.69) + tauE *= n_e_20**0.41 + return tauE + +@nb.njit(cache=True) +def tauE_H89(s, Pheat, n_e_20) -> float: + """ + H89 scaling law for comparison + """ + #0.048*M_i**(0.5)*Ip**(0.85)*R**(1.2)*a**(0.3)*kappa**(0.5)*B0**(0.2)*Pheat**(-0.5)*n20**(0.1) + tauE = 0.048 + tauE *= s.M_i**0.5 + tauE *= s.Ip**0.85 + tauE *= s.R**1.2 + tauE *= s.a**0.3 + tauE *= s.kappa**0.5 + tauE *= s.B0**0.2 + tauE *= Pheat**(-0.5) + tauE *= n_e_20**0.1 + return tauE + +#------------------------------------------------------------------- +# Power profiles +#------------------------------------------------------------------- + +@nb.njit(cache=True) +def _W_tot_prof(s, rho, T_i_keV:float, n_e_20:float): + """ + Plasma energy per cubic meter; also pressure. + """ + n_e_r = 1e20*n_e_20*get_profile(s, rho, 2) + T_e_r = T_i_keV*get_profile(s, rho, 4)/s.tipeak_over_tepeak + dil = plasma_dilution(s, T_i_keV/s.tipeak_over_tepeak) + n_i_r = 1e20*n_e_20*get_profile(s, rho, 2)*dil + T_i_r = T_i_keV*get_profile(s, rho, 3) + # W_density = 3/2 * n_i * T_i + # = 3/2 * (n_i_r) ( 1.60218e-22 * T_i_r (keV) ) (MJ/m^3) + return 3/2 * 1.60218e-22 * (n_i_r * T_i_r + n_e_r * T_e_r) + +@nb.njit(cache=True) +def _P_DDpT_prof(s, rho, T_i_keV:float, n_i_20:float): + """ + D(d,p)T power per cubic meter + """ + if s.fuel == 1: + dfrac = 1 + elif s.fuel == 2: + dfrac = 0.5 + else: + raise ValueError("Invalid fuel cycle.") + + n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) + T_i_r = T_i_keV*get_profile(s, rho, 3) + + # reaction frequency f = n_D/sqrt(2) * n_D/sqrt(2) * (1/s) + # 1.60218e-22 is the conversion factor from keV to MJ + # is in cm^3/s so we need to convert to m^3/s, hence 1e-6 + # P_DD_density = 1.60218e-22 * f(DD->pT) * (T_tritium + T_proton) (MW/m^3) + + f_ddpt = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,2) * 1e-6 + return 1.60218e-22 * f_ddpt * (1.01e3 + 3.02e3) + +@nb.njit(cache=True) +def _P_DDnHe3_prof(s, rho, T_i_keV:float, n_i_20:float): + """ + D(d,n)He3 power per cubic meter + """ + if s.fuel == 1: + dfrac = 1-np.sum(s.impurityfractions) + elif s.fuel == 2: + dfrac = 0.5-np.sum(s.impurityfractions)/2 + else: + raise ValueError("Invalid fuel cycle.") + + n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) + T_i_r = T_i_keV*get_profile(s, rho, 3) + + # See _P_DDpT_prof for explanation. + # Note, for heating, only the He3 heats the plasma. For heating purposes, + # multiply by 0.82e3/(2.45e3 + 0.82e3). + + f_ddnhe3 = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,3) * 1e-6 + return 1.60218e-22 * f_ddnhe3 * (2.45e3 + 0.82e3) + +@nb.njit(cache=True) +def _P_DTnHe4_prof(s, rho, T_i_keV:float, n_i_20:float): + """ + T(d,n)He4 power density in MW/m^3 + """ + if s.fuel == 1: + dfrac = 1-np.sum(s.impurityfractions) + tfrac = 0 + elif s.fuel == 2: + dfrac = 0.5-np.sum(s.impurityfractions)/2 + tfrac = 0.5-np.sum(s.impurityfractions)/2 + else: + raise ValueError("Invalid fuel cycle.") + + n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) + T_i_r = T_i_keV*get_profile(s, rho, 3) + + # See _P_DDpT_prof for explanation. + # Note, for heating, only the He4 / alpha heats the plasma. For heating purposes, + # multiply by 3.52e3/(3.52e3 + 14.06e3). + + f_dtnhe4 = dfrac*(n_i_r) * tfrac*(n_i_r) * phys.get_reactivity(T_i_r,1) * 1e-6 + return 1.60218e-22 * f_dtnhe4 * (3.52e3 + 14.06e3) + +@nb.njit(cache=True) +def _P_fusion_heating(s, rho, T_i_keV:float, n_i_20:float): + """ + D-D and D-T heating power density in MW/m^3 + """ + return _P_DDpT_prof(s, rho,T_i_keV,n_i_20) + \ + _P_DDnHe3_prof(s, rho,T_i_keV,n_i_20)*(0.82e3/(2.45e3+0.82e3))+\ + _P_DTnHe4_prof(s, rho,T_i_keV,n_i_20)*(3.52e3/(3.52e3+14.06e3)) + +@nb.njit(cache=True) +def _P_fusion(s, rho, T_i_keV:float, n_i_20:float): + """ + Fusion power density in MW/m^3 + """ + return _P_DDpT_prof(s, rho, T_i_keV, n_i_20) + \ + _P_DDnHe3_prof(s, rho,T_i_keV,n_i_20)+\ + _P_DTnHe4_prof(s, rho,T_i_keV,n_i_20) + +@nb.njit(cache=True) +def _P_brem_rad(s, rho, T_e_keV:float, n_e_20:float): + """ + Radiative power density in MW/m^3; See formulary. + """ + + T_e_r = T_e_keV*get_profile(s, rho, 4) + n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + + total_Zeff = np.empty(T_e_r.shape[0],dtype=np.float64) + for i in np.arange(T_e_r.shape[0]): + total_Zeff[i] = Zeff(s, T_e_r[i]) + G = 1.1 # Gaunt factor + # P_brem = 5.35e-3*1e-6*G*total_Zeff*(1e-20*n_e_r)**2*T_e_r**0.5 + # From Plasma Formulary + P_brem = G*1e-6*np.sqrt(1000*T_e_r)*total_Zeff*(n_e_r/7.69e18)**2 + return P_brem + +@nb.njit(cache=True) +def _P_synch(s, rho, T_e_keV:float, n_e_20:float): + """ + Synchrotron radiation power density in MW/m^3; see Zohm 2019. + """ + T_e_r = T_e_keV*get_profile(s, rho, 4) + n_e_r = n_e_20*get_profile(s, rho, 1) + P_synch = 1.32e-7*(s.B0*T_e_r)**2.5 * np.sqrt(n_e_r/s.a) * (1 + 18*s.a/(s.R*np.sqrt(T_e_r))) + + return P_synch + +@nb.njit(cache=True) +def _P_impurity_rad(s, rho, T_e_keV:float, n_e_20:float): + """ + Radiative power density from impurities in MW/m^3; see Zohm 2019. + """ + T_e_r = T_e_keV*get_profile(s, rho, 4) + n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + T_e_r[T_e_r < 0.05] = 0.05 + Lz = np.empty((T_e_r.shape[0],6),dtype=np.float64) + for i in np.arange(T_e_r.shape[0]): + Lz[i,:] = phys.get_rads(T_e_r[i]) + + P_line = np.sum(1e-6*(Lz.T*(n_e_r)**2).T*s.impurityfractions,axis=1) + return P_line + +@nb.njit(cache=True) +def _P_rad(s, rho, T_e_keV:float, n_e_20:float): + """ + Total radiative power density in MW/m^3. + """ + return _P_brem_rad(s, rho, T_e_keV, n_e_20) + _P_impurity_rad(s, rho, T_e_keV, n_e_20) + _P_synch(s, rho, T_e_keV, n_e_20) + +@nb.njit(cache=True) +def _P_OH_prof(s, rho, T_e_keV:float, n_e_20:float): + """ + Ohmic power density in MW/m^3 + """ + + eta_nc = eta_NC(s, rho, T_e_keV, n_e_20) + J = s.Itot*1e6*get_profile(s, rho, 0) + return 1e-6*eta_nc*J**2 + +@nb.njit(cache=True) +def Q_fusion(s, T_i_keV:float, n_e_20:float, Paux:float) -> float: + """ + Physical fusion gain factor. + """ + T_e_keV = T_i_keV/s.tipeak_over_tepeak + dil = plasma_dilution(s, T_e_keV) + n_i_20 = n_e_20*dil + P_fusion = volume_integral(s, s.sqrtpsin, _P_fusion(s, s.sqrtpsin, T_i_keV, n_i_20)) + P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + if Paux == 0: + return 9999999. + else: + return P_fusion/(Paux + P_OH) + + +#----------------------------------------------------------------------- +# Power balance solver +#----------------------------------------------------------------------- + +@nb.njit(cache=True) +def P_aux_impfrac(s, n_e_20, T_i_keV): + """ + Closed-form power balance solver for the impurity-fraction-fixed mode. + """ + T_e_keV = T_i_keV/s.tipeak_over_tepeak + dil = plasma_dilution(s, T_e_keV) + n_i_20 = n_e_20*dil + line_average_fac = np.average(get_profile(s, s.sqrtpsin, 1)) + P_fusion_heating = volume_integral(s, s.sqrtpsin, _P_fusion_heating(s, s.sqrtpsin, T_i_keV, n_i_20)) + P_ohmic_heating = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + W_tot = volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20)) + P_brem = volume_integral(s, s.sqrtpsin, _P_brem_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_synch = volume_integral(s, s.sqrtpsin, _P_synch(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_imp = volume_integral(s, s.sqrtpsin, _P_impurity_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) + alpha = s.Pheat_alpha + K = tauE_scalinglaw(s, 1.0, n_e_20*line_average_fac) + # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) + P_heat = (W_tot/K)**(1.0/(1.0+alpha)) + # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch + P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch + + # P_SOL < 0: impurity radiation exceeds the confinement loss, which at + # balance equals P_heat. The impurity power is assumed to displace what + # would otherwise be conductive/turbulent/instability-driven loss, so it + # radiates power away that would otherwise cross the separatrix. Such a + # state is not physical; flag it. + if P_imp > P_heat: + if s.verbosity > 0: + print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") + P_aux = 99999. + + if np.isnan(P_aux): + if s.verbosity > 0: + print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") + P_aux = 99999. + + return P_aux + +# NOT jit compiled class POPCON_algorithms: """ Class POPCON_algorithms - This class is the mathematical backbone of the OpenPOPCON code. It - is compiled with numba to provide fast calculations for scans. It is - best used in Jupyter notebooks or scripts where the user wants to - conduct a scan, as it is compiled at runtime; this means that the - first time the code executes, it will take a bit longer to compile, - but the subsequent runs will be much faster than raw Python code. + This class is the mathematical backbone of the OpenPOPCON code. Its + calculations are compiled with numba to provide fast calculations for + scans. It is best used in Jupyter notebooks or scripts where the user + wants to conduct a scan, as it is compiled at runtime; this means that + the first time the code executes, it will take a bit longer to compile, + but the subsequent runs will be much faster than raw Python code. The + compiled functions are cached to disk, so that first compile happens + once per machine; later sessions load it back. See __init__ for a list of parameters and their descriptions. + Setup writes to the attributes below; build_state then freezes them + into the State passed to the jit compiled functions. + Properties: - n_GR: Greenwald density in 10^20/m^3 - V: Plasma volume in m^3 @@ -177,7 +629,6 @@ def __init__(self) -> None: self.nr: int # Number of radial points # 0 = He, 1 = Ne, 2 = Ar, 3 = Kr, 4 = Xe, 5 = W self.impurityfractions = np.empty(6, dtype=np.float64) # Impurity fractions for each impurity, relative to ion density - self.geomsdefined: bool = False # Whether geometry profiles are defined self.rdefined: bool = False # Whether radial grid is defined self.volgriddefined: bool = False # Whether volume grid is defined self.agriddefined: bool = False # Whether area grid is defined @@ -227,8 +678,8 @@ def __init__(self) -> None: # Profiles #--------------------------------------------------------------- """ - All profiles are defined as arrays of the same length as - sqrtpsin, and **normalized**! + All profiles are defined as arrays of the same length as + sqrtpsin, and **normalized**! """ self.j_prof = np.empty(0,dtype=np.float64) # Current density profile self.ne_prof = np.empty(0,dtype=np.float64) # Electron density profile @@ -247,7 +698,7 @@ def __init__(self) -> None: self.H_fac: float = 1.0 # H (scaling law enhancement) factor self.scaling_const: float = 0.145 # Scaling law coefficient self.M_i_alpha: float = 0.19 # Ion mass scaling law exponent - self.Ip_alpha: float = 0.93 # Plasma current scaling law exponent + self.Ip_alpha: float = 0.93 # Plasma current scaling law exponent self.R_alpha: float = 1.39 # Major radius scaling law exponent self.a_alpha: float = 0.58 # Minor radius scaling law exponent self.kappa_alpha: float = 0.78 # Elongation scaling law exponent @@ -261,510 +712,22 @@ def __init__(self) -> None: self.resistivity_alg: int = 0 # Resistivity algorithm. 0 = Jardin, 1 = Paz-Soldan, 2 = local maximum self.verbosity: int = 0 # Verbosity level. 0 = silent, 1 = normal, 2 = debug, 3 = print all matrices - pass - - #------------------------------------------------------------------- - # Properties - #------------------------------------------------------------------- - - @property - def n_GR(self): - """ - Greenwald density in 10^20/m^3 - """ - return self.Ip/(np.pi*self.a**2) - - @property - def V(self): - """ - Plasma volume (in last closed flux surface) in m^3 - """ - return self.volume_integral(self.sqrtpsin, np.ones_like(self.sqrtpsin)) - - @property - def A(self): - """ - Plasma surface area (in last closed flux surface) in m^2 - """ - return self.agrid[-1] - #------------------------------------------------------------------- - # Profiles and integration - #------------------------------------------------------------------- + self.state = None # Set by build_state after setup - def get_profile(self, rho:npt.NDArray[np.float_], profid:int) -> npt.NDArray[np.float_]: - """ - Returns the profile for a given profile ID at a given rho. - Allows for easy interpolation at runtime and avoids implementing - many profile functions. - -3: Area grid - -2: Sqrt(psin) for geometry - -1: Volume grid - 0: J profile - 1: n_e profile - 2: n_i profile - 3: Ti profile - 4: Te profile - 5: q profile - 6: ftrapped profile - 7: bavg profile - """ - if profid == -3: - if not self.agriddefined: - raise ValueError("Area grid not defined.") - return np.interp(rho, self.sqrtpsin, self.agrid) - elif profid == -2: - if not self.rdefined: - raise ValueError("Geometry profiles not defined.") - return np.interp(rho, self.sqrtpsin, self.sqrtpsin) - elif profid == -1: - if not self.volgriddefined: - raise ValueError("Volume grid not defined.") - return np.interp(rho, self.sqrtpsin, self.volgrid) - elif profid == 0: - if not self._jdefined: - raise ValueError("J profile not defined.") - return np.interp(rho, self.sqrtpsin, self.j_prof) - elif profid == 1: - if not self._nedefined: - raise ValueError("n_e profile not defined.") - return np.interp(rho, self.sqrtpsin, self.ne_prof) - elif profid == 2: - if not self._nidefined: - raise ValueError("n_i profile not defined.") - return np.interp(rho, self.sqrtpsin, self.ni_prof) - elif profid == 3: - if not self._Tidefined: - raise ValueError("Ti profile not defined.") - return np.interp(rho, self.sqrtpsin, self.Ti_prof) - elif profid == 4: - if not self._Tedefined: - raise ValueError("Te profile not defined.") - return np.interp(rho, self.sqrtpsin, self.Te_prof) - elif profid == 5: - if not self._qdefined: - raise ValueError("q profile not defined.") - return np.interp(rho, self.sqrtpsin, self.q_prof) - elif profid == 6: - if not self._ftrappeddefined: - raise ValueError("ftrapped profile not defined.") - return np.interp(rho, self.sqrtpsin, self.ftrapped_prof) - elif profid == 7: - if not self._extradefined: - raise ValueError("extra profile not defined.") - return np.interp(rho, self.sqrtpsin, self.extraprof) - else: - raise ValueError("Invalid profile ID.") - - def volume_integral(self, rho, func) -> float: - r""" - Integrates a function of rho dV-like: - - $\int_0^1 func(\rho) \frac{dV}{d\rho} d\rho$ - """ - # NOTE: profile must be an array of the same length as rho. - # Integrates functions of rho dV-like - V_interp = np.interp(rho, self.sqrtpsin, self.volgrid) - return np.trapz(func, V_interp) - - #------------------------------------------------------------------- - # Physical Quantities - #------------------------------------------------------------------- - - def Zeff(self, T_e_keV) -> float: - """ - Effective ion charge. - - Zeff = sum ( n_i * Z_i^2 ) / n_e - """ - # n_i = n20 * species fraction - # n_e = n20 / dilution - # n20 cancels - - # Hydrogen isotopes + impurities - return ( (1-np.sum(self.impurityfractions)) + np.sum(self.impurityfractions*phys.get_Zeffs(T_e_keV)**2))*self.plasma_dilution(T_e_keV) - - def plasma_dilution(self, T_e_keV) -> float: - """ - Plasma dilution factor; number of ions per electron. Always <=1. - """ - dil = 1/(1 + np.sum(self.impurityfractions*phys.get_Zeffs(T_e_keV))) - return dil - - # coefficient for Spitzer conductivity, necessary to obtain ohmic power - # def get_Cspitz(self, volavgcurr:bool, T0): - # Fz = (1+1.198*self.Zeff(T0) + 0.222*self.Zeff(T0)**2)/(1+2.966*self.Zeff(T0) + 0.753*self.Zeff(T0)**2) - # eta1 = 1.03e-4*self.Zeff(T0)*Fz - # j0avg = self.Ip/(np.pi*self.a**2*self.kappa)*1.0e6 - # if (volavgcurr == True): - # # TODO: Change this to use volgrid for averaging - # Cspitz = eta1*self.q_a*j0avg**2 - # else: - # Cspitz = eta1 - # Cspitz /= 1.6e-16*1.0e20 #unit conversion to keV 10^20 m^-3 - # return Cspitz - - # def get_eta_spitzer(self, rho, T0, n20): - # # Calculate the Spitzer resistivity in Ohm-m - # # eta_spitzer = 4 sqrt(2pi)/3 Z_eff e^2 sqrt(m_e) ln(Lambda) / (4 pi epsilon_0)^2 T_e^(3/2) - # # Const = 4 sqrt(2pi)/3 * 1.602e-19^2 * 9.109e-31 / ( (4 pi * 8.854e-12)^2 * 1.602e-16^3/2 ) - # # eta = const*Z_eff*ln(Lambda)*(T_e (keV))^(-3/2) - # return - - def eta_NC(self, rho, T_e_keV:float, n_e_20:float): - """ - Neoclassical resistivity in Ohm-m. - - Equations 16-17 from [1] Jardin et al. 1993, or equation 6 from [8] Paz-Soldan et al. 2016 - """ - - if np.any(rho <= 0): - raise ValueError("Invalid rho value. Neoclassical resistivity not defined at rho=0.") - T_e_r = T_e_keV*self.get_profile(rho, 4) - n_e_r = 1e20*n_e_20*self.get_profile(rho, 1) - q = self.get_profile(rho, 5) - Zeffprof = np.empty_like(T_e_r) - for i in np.arange(T_e_r.shape[0]): - Zeffprof[i] = self.Zeff(T_e_r[i]) - # logLambda = 17.1-np.log(np.sqrt(n_e_r)/(T_e_r*1e3)) # From Jardin - logLambda = np.empty_like(Zeffprof) - where = T_e_r*1e3>10*Zeffprof**2 - elsewhere = np.logical_not(where) - logLambda[where] = 24 - np.log(np.sqrt(n_e_r)/(T_e_r*1e3))[where] # Plasma Formulary - logLambda[elsewhere] = 23 - np.log(np.sqrt(n_e_r)*Zeffprof/(T_e_r*1e3)**(3/2))[elsewhere] # Plasma Formulary - logLambda[logLambda<5] = 5 - eta_C = 1.03e-4 * logLambda * (T_e_r*1e3)**(-3/2) - - Lambda_E = 3.4/Zeffprof * (1.13 + Zeffprof) / (2.67 + Zeffprof) - C_R = 0.56/Zeffprof * (3.0 - Zeffprof) / (3.0 + Zeffprof) - xi = 0.58 + 0.2*Zeffprof - invaspect = self.a/self.R - - if not self._ftrappeddefined: - f_t = np.sqrt(2*rho*invaspect) - nu_star_e = 1/10.2e16 * self.R * q * n_e_r * np.exp(logLambda) / (f_t * invaspect * (T_e_r*1e3)**2) - eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t/( 1 + xi * nu_star_e ) ) - else: - f_t_prof = self.get_profile(rho, 6) - nu_star_e = 1/10.2e16 * self.R * q * n_e_r * np.exp(logLambda) / (f_t_prof * invaspect * (T_e_r*1e3)**2) - eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t_prof/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t_prof/( 1 + xi * nu_star_e ) ) - - - eta_NC = eta_C / eta_C_eta_NC_ratio - - if self.resistivity_alg == 0: - return eta_NC - - f_CL = (1+1.2*Zeffprof + 0.22*Zeffprof**2)/(1+3*Zeffprof + 0.75*Zeffprof**2) - - f_NC = 1/ ( 1- np.sqrt( 2*invaspect / (1 + invaspect) ) ) - - eta_NC_2 = eta_C * f_CL * f_NC - - if self.resistivity_alg == 1: - return eta_NC_2 - - if self.resistivity_alg == 2: - eta_NC_max = np.empty_like(eta_NC) - - for i in range(len(eta_NC)): - eta_NC_max[i] = max(eta_NC[i], eta_NC_2[i]) - - return eta_NC_max - - else: - raise ValueError("Invalid resistivity algorithm. Must be 0, 1, or 2.") - - - def Vloop(self, T_e_keV, n_e_20) -> float: - """ - Loop Voltage in Volts. - - V_loop = P_ohmic / Ip - """ - P_OH = self.volume_integral(self.sqrtpsin, self._P_OH_prof(self.sqrtpsin, T_e_keV, n_e_20)) - return P_OH/self.Ip - - - - def BetaN(self, T_i_keV, n_e_20) -> float: - """ - Normalized beta, beta*a*B0/Ip. - - beta = 2 mu0

/ (B^2) -

= int P dV / V (average pressure) - beta_N = beta a B0 / (Ip) - """ - P_avg = 1e6*self.volume_integral(self.sqrtpsin, self._W_tot_prof(self.sqrtpsin, T_i_keV, n_e_20))/self.V - beta = 2*(4e-7*np.pi)*P_avg/(self.B0**2) - return beta*self.a*self.B0/self.Ip - - def tauE_scalinglaw(self, Pheat, n_e_20) -> float: - """ - User-chosen confinement time scaling law - """ - tauE = self.H_fac*self.scaling_const - tauE *= self.M_i**self.M_i_alpha - tauE *= self.Ip**self.Ip_alpha - tauE *= self.R**self.R_alpha - tauE *= self.a**self.a_alpha - tauE *= self.kappa**self.kappa_alpha - tauE *= self.B0**self.B0_alpha - tauE *= Pheat**self.Pheat_alpha - tauE *= n_e_20**self.n20_alpha - return tauE - - def tauE_H98(self, Pheat, n_e_20) -> float: - """ - H98y2 scaling law for comparison - """ - tauE = 0.145 - #M_i**(0.19)*Ip**(0.93)*R**(1.39)*a**(0.58)*kappa**(0.78)*B0**(0.15)*Pheat**(-0.69)*n20**(0.41) - tauE *= self.M_i**0.19 - tauE *= self.Ip**0.93 - tauE *= self.R**1.39 - tauE *= self.a**0.58 - tauE *= self.kappa**0.78 - tauE *= self.B0**0.15 - tauE *= Pheat**(-0.69) - tauE *= n_e_20**0.41 - return tauE - - def tauE_H89(self, Pheat, n_e_20) -> float: - """ - H89 scaling law for comparison - """ - #0.048*M_i**(0.5)*Ip**(0.85)*R**(1.2)*a**(0.3)*kappa**(0.5)*B0**(0.2)*Pheat**(-0.5)*n20**(0.1) - tauE = 0.048 - tauE *= self.M_i**0.5 - tauE *= self.Ip**0.85 - tauE *= self.R**1.2 - tauE *= self.a**0.3 - tauE *= self.kappa**0.5 - tauE *= self.B0**0.2 - tauE *= Pheat**(-0.5) - tauE *= n_e_20**0.1 - return tauE - - #------------------------------------------------------------------- - # Power profiles - #------------------------------------------------------------------- - - def _W_tot_prof(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_e_20:float): - """ - Plasma energy per cubic meter; also pressure. - """ - n_e_r = 1e20*n_e_20*self.get_profile(rho, 2) - T_e_r = T_i_keV*self.get_profile(rho, 4)/self.tipeak_over_tepeak - dil = self.plasma_dilution(T_i_keV/self.tipeak_over_tepeak) - n_i_r = 1e20*n_e_20*self.get_profile(rho, 2)*dil - T_i_r = T_i_keV*self.get_profile(rho, 3) - # W_density = 3/2 * n_i * T_i - # = 3/2 * (n_i_r) ( 1.60218e-22 * T_i_r (keV) ) (MJ/m^3) - return 3/2 * 1.60218e-22 * (n_i_r * T_i_r + n_e_r * T_e_r) - - def _P_DDpT_prof(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_i_20:float): - """ - D(d,p)T power per cubic meter - """ - if self.fuel == 1: - dfrac = 1 - elif self.fuel == 2: - dfrac = 0.5 - else: - raise ValueError("Invalid fuel cycle.") - - n_i_r = 1e20*n_i_20*self.get_profile(rho, 2) - T_i_r = T_i_keV*self.get_profile(rho, 3) - - # reaction frequency f = n_D/sqrt(2) * n_D/sqrt(2) * (1/s) - # 1.60218e-22 is the conversion factor from keV to MJ - # is in cm^3/s so we need to convert to m^3/s, hence 1e-6 - # P_DD_density = 1.60218e-22 * f(DD->pT) * (T_tritium + T_proton) (MW/m^3) - - f_ddpt = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,2) * 1e-6 - return 1.60218e-22 * f_ddpt * (1.01e3 + 3.02e3) - - def _P_DDnHe3_prof(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_i_20:float): - """ - D(d,n)He3 power per cubic meter - """ - if self.fuel == 1: - dfrac = 1-np.sum(self.impurityfractions) - elif self.fuel == 2: - dfrac = 0.5-np.sum(self.impurityfractions)/2 - else: - raise ValueError("Invalid fuel cycle.") - - n_i_r = 1e20*n_i_20*self.get_profile(rho, 2) - T_i_r = T_i_keV*self.get_profile(rho, 3) - - # See _P_DDpT_prof for explanation. - # Note, for heating, only the He3 heats the plasma. For heating purposes, - # multiply by 0.82e3/(2.45e3 + 0.82e3). - - f_ddnhe3 = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,3) * 1e-6 - return 1.60218e-22 * f_ddnhe3 * (2.45e3 + 0.82e3) - - def _P_DTnHe4_prof(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_i_20:float): - """ - T(d,n)He4 power density in MW/m^3 - """ - if self.fuel == 1: - dfrac = 1-np.sum(self.impurityfractions) - tfrac = 0 - elif self.fuel == 2: - dfrac = 0.5-np.sum(self.impurityfractions)/2 - tfrac = 0.5-np.sum(self.impurityfractions)/2 - else: - raise ValueError("Invalid fuel cycle.") - - n_i_r = 1e20*n_i_20*self.get_profile(rho, 2) - T_i_r = T_i_keV*self.get_profile(rho, 3) - - # See _P_DDpT_prof for explanation. - # Note, for heating, only the He4 / alpha heats the plasma. For heating purposes, - # multiply by 3.52e3/(3.52e3 + 14.06e3). - - f_dtnhe4 = dfrac*(n_i_r) * tfrac*(n_i_r) * phys.get_reactivity(T_i_r,1) * 1e-6 - return 1.60218e-22 * f_dtnhe4 * (3.52e3 + 14.06e3) - - def _P_fusion_heating(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_i_20:float): - """ - D-D and D-T heating power density in MW/m^3 - """ - return self._P_DDpT_prof(rho,T_i_keV,n_i_20) + \ - self._P_DDnHe3_prof(rho,T_i_keV,n_i_20)*(0.82e3/(2.45e3+0.82e3))+\ - self._P_DTnHe4_prof(rho,T_i_keV,n_i_20)*(3.52e3/(3.52e3+14.06e3)) - - def _P_fusion(self, rho:npt.NDArray[np.float_], T_i_keV:float, n_i_20:float): - """ - Fusion power density in MW/m^3 - """ - return self._P_DDpT_prof(rho, T_i_keV, n_i_20) + \ - self._P_DDnHe3_prof(rho,T_i_keV,n_i_20)+\ - self._P_DTnHe4_prof(rho,T_i_keV,n_i_20) - - def _P_brem_rad(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float): - """ - Radiative power density in MW/m^3; See formulary. - """ - - T_e_r = T_e_keV*self.get_profile(rho, 4) - n_e_r = 1e20*n_e_20*self.get_profile(rho, 1) - - total_Zeff = np.empty(T_e_r.shape[0],dtype=np.float64) - for i in np.arange(T_e_r.shape[0]): - total_Zeff[i] = self.Zeff(T_e_r[i]) - G = 1.1 # Gaunt factor - # P_brem = 5.35e-3*1e-6*G*total_Zeff*(1e-20*n_e_r)**2*T_e_r**0.5 - # From Plasma Formulary - P_brem = G*1e-6*np.sqrt(1000*T_e_r)*total_Zeff*(n_e_r/7.69e18)**2 - return P_brem - - def _P_synch(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float): - """ - Synchrotron radiation power density in MW/m^3; see Zohm 2019. - """ - T_e_r = T_e_keV*self.get_profile(rho, 4) - n_e_r = n_e_20*self.get_profile(rho, 1) - P_synch = 1.32e-7*(self.B0*T_e_r)**2.5 * np.sqrt(n_e_r/self.a) * (1 + 18*self.a/(self.R*np.sqrt(T_e_r))) - - return P_synch - - def _P_impurity_rad(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float): - """ - Radiative power density from impurities in MW/m^3; see Zohm 2019. - """ - T_e_r = T_e_keV*self.get_profile(rho, 4) - n_e_r = 1e20*n_e_20*self.get_profile(rho, 1) - T_e_r[T_e_r < 0.05] = 0.05 - Lz = np.empty((T_e_r.shape[0],6),dtype=np.float64) - for i in np.arange(T_e_r.shape[0]): - Lz[i,:] = phys.get_rads(T_e_r[i]) - - P_line = np.sum(1e-6*(Lz.T*(n_e_r)**2).T*self.impurityfractions,axis=1) - return P_line - - def _P_rad(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float): - """ - Total radiative power density in MW/m^3. - """ - return self._P_brem_rad(rho, T_e_keV, n_e_20) + self._P_impurity_rad(rho, T_e_keV, n_e_20) + self._P_synch(rho, T_e_keV, n_e_20) - - def _P_OH_prof(self, rho:npt.NDArray[np.float_], T_e_keV:float, n_e_20:float) -> npt.NDArray[np.float_]: - """ - Ohmic power density in MW/m^3 - """ - - eta_NC = self.eta_NC(rho, T_e_keV, n_e_20) - J = self.Itot*1e6*self.get_profile(rho, 0) - return 1e-6*eta_NC*J**2 - - -@nb.njit(cache=True) -def Q_fusion(s, T_i_keV, n_e_20, Paux): - """Physical fusion gain factor.""" - T_e_keV = T_i_keV/s.tipeak_over_tepeak - dil = plasma_dilution(s, T_e_keV) - n_i_20 = n_e_20*dil - P_fusion = volume_integral(s, s.sqrtpsin, _P_fusion(s, s.sqrtpsin, T_i_keV, n_i_20)) - P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) - if Paux == 0: - return 9999999. - else: - return P_fusion/(Paux + P_OH) - - -#----------------------------------------------------------------------- -# Power balance solver -#----------------------------------------------------------------------- - -@nb.njit(cache=True) -def P_aux_impfrac(s, n_e_20, T_i_keV): - """ - Closed-form power balance solver for the impurity-fraction-fixed mode. - """ - T_e_keV = T_i_keV/s.tipeak_over_tepeak - dil = plasma_dilution(s, T_e_keV) - n_i_20 = n_e_20*dil - line_average_fac = np.average(get_profile(s, s.sqrtpsin, 1)) - P_fusion_heating = volume_integral(s, s.sqrtpsin, _P_fusion_heating(s, s.sqrtpsin, T_i_keV, n_i_20)) - P_ohmic_heating = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) - W_tot = volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20)) - P_brem = volume_integral(s, s.sqrtpsin, _P_brem_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) - P_synch = volume_integral(s, s.sqrtpsin, _P_synch(s, s.sqrtpsin, T_e_keV, n_e_20)) - P_imp = volume_integral(s, s.sqrtpsin, _P_impurity_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) - alpha = s.Pheat_alpha - K = tauE_scalinglaw(s, 1.0, n_e_20*line_average_fac) - # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) - P_heat = (W_tot/K)**(1.0/(1.0+alpha)) - # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch - P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch - - # P_SOL < 0: impurity radiation exceeds the confinement loss, which at - # balance equals P_heat. The impurity power is assumed to displace what - # would otherwise be conductive/turbulent/instability-driven loss, so it - # radiates power away that would otherwise cross the separatrix. Such a - # state is not physical; flag it. - if P_imp > P_heat: - if s.verbosity > 0: - print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") - P_aux = 99999. - - if np.isnan(P_aux): - if s.verbosity > 0: - print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") - P_aux = 99999. + pass - return P_aux #------------------------------------------------------------------- - # Setup functions + # State #------------------------------------------------------------------- - def build_state(self): + def build_state(self) -> State: """ + Freezes the setup parameters into the State the jit compiled + functions take. Casts every field explicitly so the type + signature stays the same between sessions; the compile cache + keys on it. """ - def _arr(x): + def arr(x): return np.ascontiguousarray(x, dtype=np.float64) s = State( R=np.float64(self.R), a=np.float64(self.a), kappa=np.float64(self.kappa), @@ -772,8 +735,8 @@ def _arr(x): Itot=np.float64(self.Itot), M_i=np.float64(self.M_i), tipeak_over_tepeak=np.float64(self.tipeak_over_tepeak), fuel=int(self.fuel), nr=int(self.nr), - sqrtpsin=_arr(self.sqrtpsin), volgrid=_arr(self.volgrid), agrid=_arr(self.agrid), - impurityfractions=_arr(self.impurityfractions), + sqrtpsin=arr(self.sqrtpsin), volgrid=arr(self.volgrid), agrid=arr(self.agrid), + impurityfractions=arr(self.impurityfractions), rdefined=bool(self.rdefined), volgriddefined=bool(self.volgriddefined), agriddefined=bool(self.agriddefined), jdefined=bool(self._jdefined), nedefined=bool(self._nedefined), @@ -785,9 +748,9 @@ def _arr(x): ni_alpha1=np.float64(self.ni_alpha1), ni_alpha2=np.float64(self.ni_alpha2), ni_offset=np.float64(self.ni_offset), Ti_alpha1=np.float64(self.Ti_alpha1), Ti_alpha2=np.float64(self.Ti_alpha2), Ti_offset=np.float64(self.Ti_offset), Te_alpha1=np.float64(self.Te_alpha1), Te_alpha2=np.float64(self.Te_alpha2), Te_offset=np.float64(self.Te_offset), - j_prof=_arr(self.j_prof), ne_prof=_arr(self.ne_prof), ni_prof=_arr(self.ni_prof), - Te_prof=_arr(self.Te_prof), Ti_prof=_arr(self.Ti_prof), q_prof=_arr(self.q_prof), - ftrapped_prof=_arr(self.ftrapped_prof), extraprof=_arr(self.extraprof), + j_prof=arr(self.j_prof), ne_prof=arr(self.ne_prof), ni_prof=arr(self.ni_prof), + Te_prof=arr(self.Te_prof), Ti_prof=arr(self.Ti_prof), q_prof=arr(self.q_prof), + ftrapped_prof=arr(self.ftrapped_prof), extraprof=arr(self.extraprof), H_fac=np.float64(self.H_fac), scaling_const=np.float64(self.scaling_const), M_i_alpha=np.float64(self.M_i_alpha), Ip_alpha=np.float64(self.Ip_alpha), R_alpha=np.float64(self.R_alpha), a_alpha=np.float64(self.a_alpha), @@ -796,7 +759,7 @@ def _arr(x): resistivity_alg=int(self.resistivity_alg), verbosity=int(self.verbosity), V=np.float64(0.0), ) - # Precompute V through the identical jitted path used elsewhere. + # V through the same jit compiled path as before v = volume_integral(s, s.sqrtpsin, np.ones_like(s.sqrtpsin)) self.state = s._replace(V=np.float64(v)) return self.state @@ -807,51 +770,57 @@ def _arr(x): @property def n_GR(self): - """Greenwald density in 10^20/m^3.""" + """ + Greenwald density in 10^20/m^3 + """ return self.Ip/(np.pi*self.a**2) @property def V(self): - """Plasma volume (in last closed flux surface) in m^3.""" + """ + Plasma volume (in last closed flux surface) in m^3 + """ return self.state.V @property def A(self): - """Plasma surface area (in last closed flux surface) in m^2.""" + """ + Plasma surface area (in last closed flux surface) in m^2 + """ return self.agrid[-1] #------------------------------------------------------------------- - # Physics delegators (call the cached free functions on self.state) + # Calls to the jit compiled functions above #------------------------------------------------------------------- - def get_profile(self, rho, profid): + def get_profile(self, rho, profid:int): return get_profile(self.state, rho, profid) - def volume_integral(self, rho, func): + def volume_integral(self, rho, func) -> float: return volume_integral(self.state, rho, func) - def Zeff(self, T_e_keV): + def Zeff(self, T_e_keV) -> float: return Zeff(self.state, T_e_keV) - def plasma_dilution(self, T_e_keV): + def plasma_dilution(self, T_e_keV) -> float: return plasma_dilution(self.state, T_e_keV) def eta_NC(self, rho, T_e_keV, n_e_20): return eta_NC(self.state, rho, T_e_keV, n_e_20) - def Vloop(self, T_e_keV, n_e_20): + def Vloop(self, T_e_keV, n_e_20) -> float: return Vloop(self.state, T_e_keV, n_e_20) - def BetaN(self, T_i_keV, n_e_20): + def BetaN(self, T_i_keV, n_e_20) -> float: return BetaN(self.state, T_i_keV, n_e_20) - def tauE_scalinglaw(self, Pheat, n_e_20): + def tauE_scalinglaw(self, Pheat, n_e_20) -> float: return tauE_scalinglaw(self.state, Pheat, n_e_20) - def tauE_H98(self, Pheat, n_e_20): + def tauE_H98(self, Pheat, n_e_20) -> float: return tauE_H98(self.state, Pheat, n_e_20) - def tauE_H89(self, Pheat, n_e_20): + def tauE_H89(self, Pheat, n_e_20) -> float: return tauE_H89(self.state, Pheat, n_e_20) def _W_tot_prof(self, rho, T_i_keV, n_e_20): @@ -887,14 +856,14 @@ def _P_rad(self, rho, T_e_keV, n_e_20): def _P_OH_prof(self, rho, T_e_keV, n_e_20): return _P_OH_prof(self.state, rho, T_e_keV, n_e_20) - def Q_fusion(self, T_i_keV, n_e_20, Paux): + def Q_fusion(self, T_i_keV, n_e_20, Paux) -> float: return Q_fusion(self.state, T_i_keV, n_e_20, Paux) def P_aux_impfrac(self, n_e_20, T_i_keV): return P_aux_impfrac(self.state, n_e_20, T_i_keV) #------------------------------------------------------------------- - # Setup functions (plain Python; mutate instance attributes) + # Setup functions #------------------------------------------------------------------- def _addextprof(self, extprofvals, profid): @@ -960,7 +929,7 @@ def _addextprof(self, extprofvals, profid): self._extradefined = True else: raise ValueError("Invalid profile ID.") - + def _set_alpha_and_offset(self, alpha1, alpha2, offset, profid:int): """ If the profile is not externally defined, this function sets the @@ -999,6 +968,10 @@ def _set_alpha_and_offset(self, alpha1, alpha2, offset, profid:int): else: raise ValueError("Invalid profile ID.") + # def _addextprof_imps(self, extprofvals): + # # TODO: implement this + # pass + def _setup_profs(self) -> None: """ Sets up profiles for the first time. If external profiles have @@ -1034,6 +1007,7 @@ def _setup_profs(self) -> None: self.Te_prof = (1-self.Te_offset)*(1-rho**self.Te_alpha1)**self.Te_alpha2 + self.Te_offset self._Tedefined = True if not self._qdefined: + # self.q_a = 2*np.pi*self.a**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self.q_prof = 2*np.pi*(self.a*rho)**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self._qdefined = True if not self._ftrappeddefined: @@ -1197,6 +1171,10 @@ def read(self, filename: str) -> None: ('vloop', nb.float64[:,:]), ('betaN', nb.float64[:,:]) ] + +# What populate_outputs returns; POPCON_data_spec minus the 1-D axes and Paux, +# which are inputs. They have to be returned: with parallel=True, a prange +# write through a namedtuple field never reaches the caller COMPUTED_FIELDS = [ 'n_i_20_max', 'n_i_20_avg', 'Pfusion', 'Pfusionheating', 'Pohmic', 'Pbrems', 'Psynch', 'Pimprad', 'Prad', 'Pheat', 'Wtot', 'tauE', @@ -1204,6 +1182,9 @@ def read(self, filename: str) -> None: 'H89', 'H98', 'vloop', 'betaN', ] ComputedOutputs = namedtuple('ComputedOutputs', COMPUTED_FIELDS) + + +# NOT jit compiled class POPCON_data: """ Class POPCON_data From 32ea0491b0acd05b1480b5a2c14d65d406a42156 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 10:32:30 -0400 Subject: [PATCH 05/14] Add settings checks and pyproject toml, fix examples --- .gitignore | 5 +- environment.yml | 12 +- example_run.py | 37 +- pyproject.toml | 18 + .../radiative_ARC/POPCON_input_example.yaml | 1 - src/lib/openpopcon_util.py | 2 +- src/openpopcon.py | 214 +- test1.ipynb | 1095 -------- uv.lock | 2486 +++++++++++++++++ 9 files changed, 2732 insertions(+), 1138 deletions(-) create mode 100644 pyproject.toml delete mode 100644 test1.ipynb create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore index 09a8073..c2e34d9 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,7 @@ .conda/* __* .vscode -outputs/* \ No newline at end of file +outputs/* +.venv +POPCON.png +single_point.png diff --git a/environment.yml b/environment.yml index 3a7a692..9c74c51 100644 --- a/environment.yml +++ b/environment.yml @@ -1,11 +1,13 @@ # run: conda env create --file environment.yml -name: openPOPCON +name: openpopcon +channels: +- conda-forge dependencies: -- python=3.10 -- anaconda +- python>=3.10,<3.14 - pip -- numpy +- numpy>=2.0 - scipy - matplotlib - numba -- pyyaml \ No newline at end of file +- pyyaml +- jupyterlab diff --git a/example_run.py b/example_run.py index 3a12ef1..395ace3 100644 --- a/example_run.py +++ b/example_run.py @@ -1,10 +1,37 @@ -from src import openpopcon +""" +Minimal OpenPOPCON run. From the repository root: + uv run example_run.py + +or, with the conda environment activated: + + python example_run.py + +Copy resources/examples/MANTA/ somewhere and point settingsfile at your own +copy to start changing the machine. +""" +import matplotlib.pyplot as plt + +from src import openpopcon as op settingsfile = "./resources/examples/MANTA/POPCON_input_example.yaml" -plotsettingsfile = "./resources/plotsettings.yml" +plotsettingsfile = "./resources/examples/MANTA/plotsettings.yml" scalinglawfile = "./resources/scalinglaws.yml" -pc = openpopcon.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile, scalinglawfile=scalinglawfile) -pc.single_popcon(plot=True) -pc.single_point(-1,0.6,12,True,show=True) \ No newline at end of file +pc = op.POPCON(settingsfile=settingsfile, + plotsettingsfile=plotsettingsfile, + scalinglawfile=scalinglawfile) + +# solve power balance over the whole density/temperature grid +pc.run_POPCON() + +# the POPCON itself +fig, ax = pc.plot(show=False) +fig.savefig("POPCON.png", dpi=150, bbox_inches="tight") +print("Wrote POPCON.png") + +# profiles and a power breakdown at one operating point, +# here 60% of the Greenwald density and 9 keV volume-averaged Ti +pc.single_point(0.6, 9.0, plot=True, show=False) +plt.savefig("single_point.png", dpi=150, bbox_inches="tight") +print("Wrote single_point.png") diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..438aa95 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,18 @@ +[project] +name = "openpopcon" +version = "2.0.0" +description = "0-D tokamak scoping tool for Columbia's Fusion Reactor Design course" +requires-python = ">=3.10,<3.14" +dependencies = [ + "numpy>=2.0", # np.trapezoid, which replaced np.trapz + "scipy", + "matplotlib", + "numba", + "pyyaml", +] + +[project.optional-dependencies] +notebooks = ["jupyterlab"] + +[tool.uv] +package = false diff --git a/resources/examples/radiative_ARC/POPCON_input_example.yaml b/resources/examples/radiative_ARC/POPCON_input_example.yaml index 0a9e748..f00b7b4 100644 --- a/resources/examples/radiative_ARC/POPCON_input_example.yaml +++ b/resources/examples/radiative_ARC/POPCON_input_example.yaml @@ -26,7 +26,6 @@ B_0: 11.5 # on-axis magnetic field in Tesla #---------------------- #---------------------- -M_i: 2.5 # average ion mass in amu tipeak_over_tepeak: 1.1 # ratio of ion to electron temperature at peak fuel: 2 # 1 for D-D, 2 for D-T, 3 for D-He3 #---------------------- diff --git a/src/lib/openpopcon_util.py b/src/lib/openpopcon_util.py index 765e7c0..af91599 100644 --- a/src/lib/openpopcon_util.py +++ b/src/lib/openpopcon_util.py @@ -141,7 +141,7 @@ def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50): # Get the surface area of the flux surface d = np.diff(contour, axis=0) ds = np.sqrt(d[:, 0]**2 + d[:, 1]**2) - Agrid[icontour] = np.trapz(2*np.pi*contour[:-1,0] * ds, axis=0) + Agrid[icontour] = np.trapezoid(2*np.pi*contour[:-1,0] * ds, axis=0) return psin, Volgrid, Agrid, closed_fluxsurfaces diff --git a/src/openpopcon.py b/src/openpopcon.py index ef061bf..459eb02 100644 --- a/src/openpopcon.py +++ b/src/openpopcon.py @@ -22,6 +22,7 @@ import matplotlib.patches as patches import yaml import json +import os from .lib.openpopcon_util import * import numba as nb from collections import namedtuple @@ -30,6 +31,35 @@ import datetime from .lib import neat_json_encoder as nj +# resistivity_model in the settings file -> resistivity_alg on the State +RESISTIVITY_MODELS = {"jardin": 0, "paz-soldan": 1, "maximum": 2, "max": 2} + +# why a grid point has no physical solution. P_aux is set to 99999 for all of +# these; the flag survives so the reason can be reported +INVALID_OK = 0 +INVALID_IMPRAD = 1 +INVALID_NAN = 2 +INVALID_REASONS = { + INVALID_IMPRAD: "impurity radiation exceeds the confinement loss", + INVALID_NAN: "no real solution to power balance", +} + +# every key POPCON_settings.read understands; anything else in a settings file +# is ignored, so it gets reported as a likely typo +KNOWN_SETTINGS_KEYS = { + 'name', 'R', 'a', 'kappa', 'delta', + 'B_0', 'B_coil', 'wall_thickness', 'I_P', 'qstar', + 'tipeak_over_tepeak', 'fuel', 'impurityfractions', 'Zeff_target', 'impurity', + 'scalinglaw', 'H_fac', 'nr', 'gfilename', 'profsfilename', + 'j_alpha1', 'j_alpha2', 'j_offset', + 'ne_alpha1', 'ne_alpha2', 'ne_offset', + 'ni_alpha1', 'ni_alpha2', 'ni_offset', + 'Ti_alpha1', 'Ti_alpha2', 'Ti_offset', + 'Te_alpha1', 'Te_alpha2', 'Te_offset', + 'Nn', 'NTi', 'nmax_frac', 'nmin_frac', 'Tmax_keV', 'Tmin_keV', + 'resistivity_model', 'maxit', 'accel', 'err', 'verbosity', 'parallel', +} + DEFAULT_PLOTSETTINGS = get_POPCON_homedir(['resources','default_plotsettings.yml']) DEFAULT_SCALINGLAWS = get_POPCON_homedir(['resources','scalinglaws.yml']) @@ -137,7 +167,7 @@ def volume_integral(s, rho, func) -> float: # NOTE: profile must be an array of the same length as rho. # Integrates functions of rho dV-like V_interp = np.interp(rho, s.sqrtpsin, s.volgrid) - return np.trapz(func, V_interp) + return np.trapezoid(func, V_interp) #------------------------------------------------------------------- # Physical Quantities @@ -513,6 +543,10 @@ def Q_fusion(s, T_i_keV:float, n_e_20:float, Paux:float) -> float: def P_aux_impfrac(s, n_e_20, T_i_keV): """ Closed-form power balance solver for the impurity-fraction-fixed mode. + + Returns (P_aux, flag), where flag is INVALID_OK, INVALID_IMPRAD or + INVALID_NAN. The caller reports these in aggregate; printing per point + would be one line per grid cell, out of order under prange. """ T_e_keV = T_i_keV/s.tipeak_over_tepeak dil = plasma_dilution(s, T_e_keV) @@ -531,22 +565,22 @@ def P_aux_impfrac(s, n_e_20, T_i_keV): # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch + flag = INVALID_OK + # P_SOL < 0: impurity radiation exceeds the confinement loss, which at # balance equals P_heat. The impurity power is assumed to displace what # would otherwise be conductive/turbulent/instability-driven loss, so it # radiates power away that would otherwise cross the separatrix. Such a # state is not physical; flag it. if P_imp > P_heat: - if s.verbosity > 0: - print(f"Warning: Impurity radiation exceeds confinement loss. State n20=", n_e_20, "T=" , T_i_keV , "is not physical.") P_aux = 99999. + flag = INVALID_IMPRAD if np.isnan(P_aux): - if s.verbosity > 0: - print("NaN detected in P_aux_impfrac. State n20=", n_e_20, "T=" , T_i_keV , "keV.") P_aux = 99999. + flag = INVALID_NAN - return P_aux + return P_aux, flag # NOT jit compiled class POPCON_algorithms: @@ -860,7 +894,7 @@ def Q_fusion(self, T_i_keV, n_e_20, Paux) -> float: return Q_fusion(self.state, T_i_keV, n_e_20, Paux) def P_aux_impfrac(self, n_e_20, T_i_keV): - return P_aux_impfrac(self.state, n_e_20, T_i_keV) + return P_aux_impfrac(self.state, n_e_20, T_i_keV)[0] #------------------------------------------------------------------- # Setup functions @@ -1033,6 +1067,17 @@ def __init__(self, self.read(filename) pass + def _resolve(self, path: str) -> str: + """ + Resolves a filename given in the settings file against the directory + that settings file lives in. '' means "not specified" and is left + alone, as are absolute paths, so that read_output can hand back + absolute paths without them being mangled. + """ + if path == '' or os.path.isabs(path): + return path + return os.path.normpath(os.path.join(self.settingsdir, path)) + def read(self, filename: str) -> None: """ Reads a YAML file and sets the settings. @@ -1043,6 +1088,10 @@ def read(self, filename: str) -> None: else: raise ValueError('Filename must end with .yaml or .yml') + self.settingsfile = os.path.abspath(filename) + self.settingsdir = os.path.dirname(self.settingsfile) + self.rawkeys = set(data.keys()) + try: #----------------------------------------------------------- # Params @@ -1074,8 +1123,14 @@ def read(self, filename: str) -> None: if self.fuel == 3: raise ValueError("D-He3 fuel cycle not implemented yet. Please use D-D or D-T.") self.impurityfractions = np.array(data['impurityfractions'], dtype=np.float64) + if self.impurityfractions.shape != (6,): + raise ValueError(f"impurityfractions must have 6 entries " + f"(He, Ne, Ar, Kr, Xe, W), got {self.impurityfractions.size}.") if 'Zeff_target' in data and 'impurity' in data: impurity = int(data['impurity']) + if not 0 <= impurity <= 5: + raise ValueError(f"impurity must be 0-5 " + f"(0 He, 1 Ne, 2 Ar, 3 Kr, 4 Xe, 5 W), got {impurity}.") self.impurityfractions[impurity] = phys.get_impurity_fraction(data['Zeff_target'], self.impurityfractions[0], impurity, (float(data['Tmax_keV'])-float(data['Tmin_keV']))/2+float(data['Tmin_keV'])) print(f"Impurity fractions = {self.impurityfractions} calculated from Zeff_target.") @@ -1095,8 +1150,8 @@ def read(self, filename: str) -> None: self.H_fac = float(data['H_fac']) self.nr = int(data['nr']) - self.gfilename = str(safe_get(data,'gfilename','')) - self.profsfilename = str(safe_get(data,'profsfilename','')) + self.gfilename = self._resolve(str(safe_get(data,'gfilename',''))) + self.profsfilename = self._resolve(str(safe_get(data,'profsfilename',''))) self.j_alpha1 = float(safe_get(data,'j_alpha1',1)) self.j_alpha2 = float(safe_get(data,'j_alpha2',2)) @@ -1318,6 +1373,8 @@ def run_POPCON(self, setuponly=False) -> None: Wrapper function that sets up and solves the power balance equations at each point in the grid. """ + + self.__check_settings() self.__setup_params() self.__get_geometry() self.__get_profiles() @@ -1371,12 +1428,12 @@ def __solve(self) -> None: print("Solving power balance equations") if self.settings.parallel: - Paux = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, + Paux, flags = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, n_e_20, T_i_keV, self.settings.accel, self.settings.err, self.settings.maxit, self.settings.verbosity) else: - Paux = solve_nT(params.state, self.settings.Nn, self.settings.NTi, + Paux, flags = solve_nT(params.state, self.settings.Nn, self.settings.NTi, n_e_20, T_i_keV, self.settings.accel, self.settings.err, self.settings.maxit, self.settings.verbosity) @@ -1384,6 +1441,7 @@ def __solve(self) -> None: if self.settings.verbosity > 0: print("Power balance solutions found. Populating output arrays.") + self.__report_invalid(flags) self.output.Paux = Paux if self.settings.parallel: computed = populate_outputs_par(params.state, n_e_20, T_i_keV, T_e_keV, Paux, @@ -1396,6 +1454,23 @@ def __solve(self) -> None: pass + def __report_invalid(self, flags) -> None: + """ + Says how much of the grid has no physical solution, and why. These + points are set to P_aux = 99999 and masked out of the plot. + """ + total = flags.size + ninvalid = int(np.count_nonzero(flags)) + if ninvalid == 0: + print(f"All {total} grid points solved.") + return + print(f"{ninvalid} of {total} grid points ({100*ninvalid/total:.1f}%) " + f"have no physical solution and are masked in the plot:") + for code, reason in INVALID_REASONS.items(): + n = int(np.count_nonzero(flags == code)) + if n: + print(f" {n:>6d} {reason}") + def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=True) -> None: """ Solves power balance at a single n, T point. Prints the results @@ -1418,8 +1493,11 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr n_i_20 = n_e_20*dil line_avg_fac = np.average(self.algorithms.get_profile(rho, 1)) - Paux = self.algorithms.P_aux_impfrac(n_e_20,T_i_keV) - + Paux, invalid = P_aux_impfrac(self.algorithms.state, n_e_20, T_i_keV) + if invalid: + print(f"This point has no physical solution: {INVALID_REASONS[invalid]}. " + f"The numbers below are not meaningful.") + Pfusion = self.algorithms.volume_integral(rho,self.algorithms._P_fusion(rho, T_i_keV, n_i_20)) Pfusion_heating = self.algorithms.volume_integral(rho,self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20)) Pohmic = self.algorithms.volume_integral(rho,self.algorithms._P_OH_prof(rho, T_e_keV, n_e_20)) @@ -1557,8 +1635,16 @@ def plot(self, show:bool=True, savefig:str='', names=None): raise ValueError("Invalid y-axis. Change yax in plotsettings.") xx, yy = np.meshgrid(xx,yy) mask = np.logical_or(np.isnan(self.output.Paux),self.output.Paux >=99998.) + if mask.all(): + raise ValueError( + "No point in this scan has a physical solution, so there is nothing " + "to plot. Re-run with verbosity > 0 to see why, and try a smaller " + "impurity fraction or a different density/temperature range.") if self.plotsettings.fill_invalid: ax.contourf(xx,yy,np.ma.array(np.ones_like(xx),mask=np.logical_not(mask)),levels=[0,2],colors='k',alpha=0.5) + if mask.any(): + ax.add_patch(patches.Rectangle((0,0),0,0,fc='k',alpha=0.5, + label='No physical solution')) if np.any(self.output.Q > 1e4): maskburning = np.logical_not(np.logical_or(np.isnan(self.output.Q),self.output.Q >=1e4)) ax.contourf(xx,yy,np.ma.array(np.ones_like(xx),mask=maskburning),levels=[0,2],colors='r',alpha=0.08) @@ -1690,13 +1776,13 @@ def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, dir direxists = outputsdir.joinpath(name).exists() zipexists = outputsdir.joinpath(name + '.zip').exists() if not (direxists or zipexists): - outputsdir.joinpath(name).mkdir() + outputsdir.joinpath(name).mkdir(parents=True) elif overwrite: if zipexists: outputsdir.joinpath(name + '.zip').unlink() if direxists: shutil.rmtree(outputsdir.joinpath(name)) - outputsdir.joinpath(name).mkdir() + outputsdir.joinpath(name).mkdir(parents=True) else: raise ValueError(f"{'Archive'*zipexists}{' and '*zipexists*direxists}{'Directory'*direxists} already exist{'s'*(not (direxists and zipexists))}. Set overwrite=True to overwrite.") @@ -1737,7 +1823,7 @@ def read_output(self, name: str, directory: str = None) -> None: outputsdir = pathlib.Path(directory) if name.endswith('.zip'): - outputsdir.joinpath(name[:-4]).mkdir() + outputsdir.joinpath(name[:-4]).mkdir(parents=True) shutil.unpack_archive(outputsdir.joinpath(name), outputsdir.joinpath(name[:-4])) name = name[:-4] namepath = outputsdir.joinpath(name) @@ -1776,8 +1862,6 @@ def __get_scaling_laws(self, scalinglawfile: str) -> None: def __setup_params(self) -> None: - res_dict = {"jardin": 0, "paz-soldan": 1, "maximum":2, "max":2} - self.algorithms = POPCON_algorithms() self.algorithms.R = self.settings.R self.algorithms.a = self.settings.a @@ -1790,7 +1874,7 @@ def __setup_params(self) -> None: self.algorithms.fuel = self.settings.fuel self.algorithms.impurityfractions = self.settings.impurityfractions self.algorithms.verbosity = self.settings.verbosity - self.algorithms.resistivity_alg = res_dict[self.settings.resistivity_model.lower()] + self.algorithms.resistivity_alg = RESISTIVITY_MODELS[self.settings.resistivity_model.lower()] def __get_profiles(self) -> None: if self.settings.profsfilename == '': @@ -1850,8 +1934,8 @@ def __get_geometry(self) -> None: - Ipint = np.abs(np.trapz(y=jtoravg, x=cross_sec_areas))/1e6 - Jrmsint = np.abs(np.trapz(y=jrms, x=cross_sec_areas)) + Ipint = np.abs(np.trapezoid(y=jtoravg, x=cross_sec_areas))/1e6 + Jrmsint = np.abs(np.trapezoid(y=jrms, x=cross_sec_areas)) Jrms_norm = jrms/Jrmsint @@ -1923,9 +2007,77 @@ def __get_geometry(self) -> None: def __check_settings(self) -> None: """ - Checks the settings for consistency. + Checks the settings for consistency. Collects everything that is wrong + and raises once, so that a settings file with several mistakes in it + reports all of them rather than one per run. Anything suspicious but + legal is printed as a warning instead. """ - pass + if not hasattr(self, 'settings'): + return + s = self.settings + bad = [] + warn = [] + + # names that must match something the code knows about + if s.scalinglaw not in self.scalinglaws: + bad.append(f"scalinglaw '{s.scalinglaw}' is not defined. " + f"Available: {', '.join(sorted(self.scalinglaws))}.") + if s.resistivity_model.lower() not in RESISTIVITY_MODELS: + bad.append(f"resistivity_model '{s.resistivity_model}' is not recognized. " + f"Available: {', '.join(sorted(RESISTIVITY_MODELS))}.") + + # scan limits + if s.Tmin_keV >= s.Tmax_keV: + bad.append(f"Tmin_keV ({s.Tmin_keV}) must be less than Tmax_keV ({s.Tmax_keV}).") + if s.nmin_frac >= s.nmax_frac: + bad.append(f"nmin_frac ({s.nmin_frac}) must be less than nmax_frac ({s.nmax_frac}).") + if s.Tmin_keV <= 0: + bad.append(f"Tmin_keV must be positive, got {s.Tmin_keV}.") + if s.nmin_frac <= 0: + bad.append(f"nmin_frac must be positive, got {s.nmin_frac}.") + + # grid resolution + for key in ('Nn', 'NTi', 'nr'): + if getattr(s, key) < 2: + bad.append(f"{key} must be at least 2, got {getattr(s, key)}.") + + # machine geometry + for key in ('R', 'a', 'kappa', 'tipeak_over_tepeak', 'H_fac'): + if getattr(s, key) <= 0: + bad.append(f"{key} must be positive, got {getattr(s, key)}.") + if s.a >= s.R: + bad.append(f"minor radius a ({s.a} m) must be smaller than major radius R ({s.R} m).") + if abs(s.delta) >= 1: + bad.append(f"delta (triangularity) must be between -1 and 1, got {s.delta}.") + if s.B0 == 0: + bad.append("B_0 must be nonzero.") + if s.Ip == 0: + bad.append("I_P must be nonzero.") + + # composition + impsum = float(np.sum(s.impurityfractions)) + if not 0 <= impsum < 1: + shown = ', '.join(f"{v:g}" for v in s.impurityfractions) + bad.append(f"impurityfractions must sum to at least 0 and less than 1, " + f"got {impsum:.4g} from [{shown}].") + if s.fuel not in (1, 2): + bad.append(f"fuel must be 1 (D-D) or 2 (D-T), got {s.fuel}.") + + # legal, but worth saying out loud + keys = getattr(s, 'rawkeys', set()) + if ('Zeff_target' in keys) != ('impurity' in keys): + warn.append("Zeff_target and impurity must both be given to set an impurity " + "fraction from Z_eff; specifying only one has no effect.") + unknown = keys - KNOWN_SETTINGS_KEYS + if unknown: + warn.append(f"unrecognized settings, which are ignored: {', '.join(sorted(unknown))}.") + + for w in warn: + print(f"Warning: {w}") + if bad: + where = getattr(s, 'settingsfile', 'the settings file') + raise ValueError(f"Found {len(bad)} problem(s) in {where}:\n - " + + "\n - ".join(bad)) def update_plotsettings(self, plotsettingsfile = None): if plotsettingsfile is not None: @@ -1946,15 +2098,16 @@ def solve_nT_par(state, nn:int, nT:int, """ Paux = np.empty((nn,nT),dtype=np.float64) - + flags = np.zeros((nn,nT),dtype=np.int64) + for i in nb.prange(nn): for j in nb.prange(nT): if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) + Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) - return Paux + return Paux, flags @nb.njit(parallel=False, cache=True) def solve_nT(state, nn:int, nT:int, @@ -1967,15 +2120,16 @@ def solve_nT(state, nn:int, nT:int, """ Paux = np.empty((nn,nT),dtype=np.float64) - + flags = np.zeros((nn,nT),dtype=np.int64) + for i in nb.prange(nn): for j in nb.prange(nT): if verbosity > 1: print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) - - return Paux + Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) + + return Paux, flags @nb.njit(parallel=True, cache=True) diff --git a/test1.ipynb b/test1.ipynb deleted file mode 100644 index 6308b4b..0000000 --- a/test1.ipynb +++ /dev/null @@ -1,1095 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from src import openpopcon as op\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "# switch backend to pyqt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.1.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.1.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.2.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.3.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_rads-34.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/src/lib/__pycache__/phys_lib.get_rads-34.py310.1.nbc'\n" - ] - } - ], - "source": [ - "settingsfile = \"./resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml\"\n", - "plotsettingsfile = \"./resources/examples/NSF_NT_CMOD/plotsettings.yml\"\n", - "scalinglawfile = \"./resources/scalinglaws.yml\"\n", - "\n", - "pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile, scalinglawfile=scalinglawfile)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.150441530660003 T= 1.2322660699912498 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.150441530660003 T= 1.3619782878850655 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.489984930237898 T= 1.2322660699912498 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.829528329815793 T= 1.2322660699912498 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.1690717293936883 T= 1.2322660699912498 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.5086151289715835 T= 1.2322660699912498 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.8481585285494786 T= 1.2322660699912498 is not physical.\n" - ] - } - ], - "source": [ - "pc.single_popcon(plot=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux\n", - "Plotting Pfusion\n", - "Plotting Prad\n", - "Plotting Q\n", - "Plotting H98\n", - "Plotting betaN\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "

" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pc.update_plotsettings()\n", - "pc.plot(-1,show=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Params:\n", - "n_i_average = 2.1831948476180068 x 10^20 m^-3\n", - "n_e_average = 2.183 x 10^20 m^-3\n", - "n_G = 4.366 x 10^20 m^-3\n", - "n_i_axis = 3.584 x 10^20 m^-3\n", - "n_e_axis = 3.584 x 10^20 m^-3\n", - "Ti_average = 0.3 keV\n", - "Ti_axis = 0.7 keV\n", - "Solution:\n", - "P_aux = 0.03 MW\n", - "P_fusion = 0.00 MW\n", - "P_SOL = nan MW\n", - "P_load = nan MW/m^2\n", - "P_ohmic = 0.009 MW\n", - "P_rad = nan MW\n", - "P_heat = 0.04 MW\n", - "P_alpha = 0.00 MW\n", - "P_dd = 0.000 MW\n", - "P_dt = 0.00 MW\n", - "Wtot/TauE = 0.02 MW\n", - "f_rad = nan \n", - "tauE = 4.524 s\n", - "Q = 0.000 MW\n", - "H89 = 13.83\n", - "H98 = 3.09\n", - "vloop = 0.0085 V\n", - "betaN = 0.859\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pc.single_point(-1,0.5,.3)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name '__file__' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[6], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mabspath(\u001b[38;5;18;43m__file__\u001b[39;49m)\n", - "\u001b[0;31mNameError\u001b[0m: name '__file__' is not defined" - ] - } - ], - "source": [ - "import os\n", - "os.path.abspath(__file__)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "i_params = -1\n", - "n_G_frac = 0.5\n", - "Ti_av = 0.3\n", - "\n", - "n_G = pc.params[i_params].n_GR\n", - "rho = pc.params[i_params].sqrtpsin\n", - "n_e_avg_fac = pc.params[i_params].volume_integral(rho, pc.params[i_params].get_extprof(rho, 1))/pc.params[i_params].V\n", - "n_e_20 = n_G_frac*n_G/n_e_avg_fac\n", - "T_i_avg_fac = pc.params[i_params].volume_integral(rho, pc.params[i_params].get_extprof(rho, 3))/pc.params[i_params].V\n", - "n_i_avg_fac = pc.params[i_params].volume_integral(rho, pc.params[i_params].get_extprof(rho, 2))/pc.params[i_params].V\n", - "T_i_keV = Ti_av/T_i_avg_fac\n", - "T_e_keV = T_i_keV/pc.params[i_params].tipeak_over_tepeak\n", - "dil = pc.params[i_params].get_plasma_dilution(T_e_keV)\n", - "n_i_20 = n_e_20*dil\n", - "line_avg_fac = np.average(pc.params[i_params].get_extprof(rho, 1))\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Power balance relaxation solver did not converge in 100000 iterations in state n20= 3.5840692177666718 T= 2.4645321399824995 keV.\n" - ] - } - ], - "source": [ - "Paux = pc.params[i_params].P_aux_relax_impfrac(n_e_20,T_i_keV,pc.settings.accel,pc.settings.err,pc.settings.maxit)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "P_aux_iter = 1000\n", - "T_e_keV = T_i_keV/pc.params[-1].tipeak_over_tepeak\n", - "dil = pc.params[-1].get_plasma_dilution(T_e_keV)\n", - "n_i_20 = n_e_20*dil\n", - "line_average_fac = np.average(pc.params[-1].get_extprof(pc.params[-1].sqrtpsin, 1))\n", - "dPaux: float\n", - "P_fusion_heating_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._P_fusion_heating(pc.params[-1].sqrtpsin, T_i_keV, n_i_20))\n", - "P_ohmic_heating_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._P_OH_prof(pc.params[-1].sqrtpsin, T_e_keV, n_e_20))\n", - "W_tot_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._W_tot_prof(pc.params[-1].sqrtpsin, T_i_keV, n_e_20))\n", - "# P_rad_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._P_rad(pc.params[-1].sqrtpsin, T_e_keV, n_e_20))\n", - "P_brem_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._P_brem_rad(pc.params[-1].sqrtpsin, T_e_keV, n_e_20))\n", - "P_imp_iter = pc.params[-1].volume_integral(pc.params[-1].sqrtpsin, pc.params[-1]._P_impurity_rad(pc.params[-1].sqrtpsin, T_e_keV, n_e_20))\n", - "err = 1e-6" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "P_aux = 1000\n", - "P_loss = 140.77912403415644\n", - "P_heat = 999.9715330896619\n", - "dPaux = -859.1924090555054\n", - "P_aux too negative\n", - "New P_aux = 100.0\n", - "\n", - "P_aux = 100.0\n", - "P_loss = 18.131728827557975\n", - "P_heat = 99.97153308966196\n", - "dPaux = -81.83980426210398\n", - "P_aux too negative\n", - "New P_aux = 10.0\n", - "\n", - "P_aux = 10.0\n", - "P_loss = 2.3304907513746533\n", - "P_heat = 9.971533089661966\n", - "dPaux = -7.6410423382873125\n", - "P_aux too negative\n", - "New P_aux = 1.0\n", - "\n", - "P_aux = 1.0\n", - "P_loss = 0.2933502908078104\n", - "P_heat = 0.9715330896619657\n", - "dPaux = -0.6781827988541553\n", - "P_aux too negative\n", - "New P_aux = 0.09999999999999998\n", - "\n", - "P_aux = 0.09999999999999998\n", - "P_loss = 0.02877799131331697\n", - "P_heat = 0.07153308966196562\n", - "dPaux = -0.04275509834864864\n", - "New P_aux = 0.03701582233540906\n", - "\n", - "P_aux = 0.03701582233540906\n", - "P_loss = 0.00434460117363256\n", - "P_heat = 0.008548911997374696\n", - "dPaux = -0.004204310823742136\n", - "New P_aux = 0.028607200687924786\n", - "\n", - "P_aux = 0.028607200687924786\n", - "P_loss = 0.00011204797249009898\n", - "P_heat = 0.00014029034989042344\n", - "dPaux = -2.8242377400324457e-05\n", - "New P_aux = 0.028550715933124138\n", - "\n", - "P_aux = 0.028550715933124138\n", - "P_loss = 7.083733997099913e-05\n", - "P_heat = 8.380559508977536e-05\n", - "dPaux = -1.2968255118776231e-05\n", - "New P_aux = 0.028524779422886587\n", - "\n", - "P_aux = 0.028524779422886587\n", - "P_loss = 5.094795407666667e-05\n", - "P_heat = 5.786908485222453e-05\n", - "dPaux = -6.92113077555786e-06\n", - "New P_aux = 0.028510937161335473\n", - "\n", - "P_aux = 0.028510937161335473\n", - "P_loss = 3.994456572392243e-05\n", - "P_heat = 4.402682330111041e-05\n", - "dPaux = -4.082257577187978e-06\n", - "New P_aux = 0.028502772646181097\n", - "\n", - "P_aux = 0.028502772646181097\n", - "P_loss = 3.327953837947937e-05\n", - "P_heat = 3.586230814673491e-05\n", - "dPaux = -2.5827697672555424e-06\n", - "New P_aux = 0.028497607106646585\n", - "\n", - "P_aux = 0.028497607106646585\n", - "P_loss = 2.897755439456599e-05\n", - "P_heat = 3.0696768612219205e-05\n", - "dPaux = -1.7192142176532138e-06\n", - "New P_aux = 0.02849416867821128\n", - "\n", - "P_aux = 0.02849416867821128\n", - "P_loss = 2.607016225642623e-05\n", - "P_heat = 2.725834017691664e-05\n", - "dPaux = -1.1881779204904095e-06\n", - "New P_aux = 0.0284917923223703\n", - "\n", - "P_aux = 0.0284917923223703\n", - "P_loss = 2.4037368579152927e-05\n", - "P_heat = 2.488198433593658e-05\n", - "dPaux = -8.446157567836532e-07\n", - "New P_aux = 0.02849010309085673\n", - "\n", - "13\n" - ] - } - ], - "source": [ - "accel = 2\n", - "pauxs = []\n", - "for ii in np.arange(20):\n", - " # Power in\n", - " P_totalheating_iter = P_aux_iter + P_ohmic_heating_iter + P_fusion_heating_iter - P_brem_iter\n", - " # print()\n", - " # print(\"P_fusion = \", P_fusion_heating_iter)\n", - " # print(\"P_ohmic = \", P_ohmic_heating_iter)\n", - " # print(\"P_aux =\", P_aux_iter)\n", - " # print()\n", - " # Power out\n", - " tauE_iter = pc.params[-1].tauE_scalinglaw(P_totalheating_iter, n_e_20*line_average_fac)\n", - " P_confinement_loss_iter = W_tot_iter/tauE_iter\n", - " P_totalloss_iter = P_confinement_loss_iter\n", - " # print(\"W_tot =\", W_tot_iter)\n", - " # print(\"tauE =\", tauE_iter)\n", - " # print(\"P_rad =\", P_rad_iter)\n", - " # print(\"P_confinement =\", P_confinement_loss_iter)\n", - " # print('-------------------------------------------------')\n", - " # Power balance\n", - " pauxs.append(P_aux_iter)\n", - " dPaux = P_totalloss_iter - P_totalheating_iter\n", - "\n", - " print(\"P_aux =\", P_aux_iter)\n", - " print(\"P_loss =\", P_totalloss_iter)\n", - " print(\"P_heat =\", P_totalheating_iter)\n", - " print(\"dPaux =\", dPaux)\n", - " if -dPaux*accel > P_aux_iter:\n", - " print(\"P_aux too negative\")\n", - " P_aux_iter -= 0.9*P_aux_iter\n", - " else:\n", - " P_aux_iter += accel*dPaux\n", - " if P_aux_iter < -(P_ohmic_heating_iter + P_fusion_heating_iter - P_brem_iter):\n", - " P_aux_iter = P_brem_iter\n", - " print(\"New P_aux =\", P_aux_iter)\n", - " print()\n", - "\n", - " # print(\"\\n\\n------------------------------------\")\n", - " # print(\"P_heat =\", P_totalheating_iter)\n", - " # print(\"P_heat_tot =\", P_totalheating_iter)\n", - " # print(\"P_loss =\", P_totalloss_iter)\n", - "\n", - " if P_aux_iter < 1.0:\n", - " if np.abs(dPaux/1.0) < err:\n", - " break\n", - " else:\n", - " if np.abs(dPaux/P_aux_iter) < err:\n", - " break\n", - "print(ii)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "nan" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dPaux" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[100,\n", - " -1.6514486418981136,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan,\n", - " nan]" - ] - }, - "execution_count": 83, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pauxs" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'Jr' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[80], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m np\u001b[38;5;241m.\u001b[39mtrapz(\u001b[43mJr\u001b[49m\u001b[38;5;241m*\u001b[39mpc\u001b[38;5;241m.\u001b[39mparams[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mIp,\u001b[38;5;241m2\u001b[39m\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mpi\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m1.4\u001b[39m\u001b[38;5;241m*\u001b[39m(pc\u001b[38;5;241m.\u001b[39mparams[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39ma\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mlinspace(\u001b[38;5;241m1e-3\u001b[39m,\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m1000\u001b[39m))\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\n", - "\u001b[0;31mNameError\u001b[0m: name 'Jr' is not defined" - ] - } - ], - "source": [ - "np.trapz(Jr*pc.params[-1].Ip,2*np.pi*1.4*(pc.params[-1].a*np.linspace(1e-3,1,1000))**2) " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "eta = pc.params[-1].get_eta_NC(np.linspace(1e-3,1.,1000),22,1.9)\n", - "r = np.linspace(1e-3,1,1000)*pc.params[-1].a\n", - "Ar = np.pi*r**2*pc.params[-1].kappa\n", - "\n", - "etaavg = np.trapz(eta, Ar) / Ar[-1]" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.4565013119671069e-08" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "etaavg" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6.429860244011536e-05" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].volume_integral(np.linspace(1e-3,1.,1000),eta*Jr*1e6)/pc.params[-1].volume_integral(np.linspace(1e-3,1.,1000), np.ones(1000))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "186.91906239142062" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].volume_integral(np.linspace(1e-3,1.,1000), np.ones(1000))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1.60810176e-03, 1.62512335e-03, 1.63838314e-03, 1.64969850e-03,\n", - " 1.65977307e-03, 1.66896758e-03, 1.67749622e-03, 1.68549850e-03,\n", - " 1.69307128e-03, 1.70028505e-03, 1.70719303e-03, 1.71356846e-03,\n", - " 1.71968294e-03, 1.72558984e-03, 1.73131116e-03, 1.73686527e-03,\n", - " 1.74226774e-03, 1.74753184e-03, 1.75266904e-03, 1.75768932e-03,\n", - " 1.76260141e-03, 1.76716553e-03, 1.77158014e-03, 1.77590626e-03,\n", - " 1.78014935e-03, 1.78431432e-03, 1.78840563e-03, 1.79242732e-03,\n", - " 1.79638308e-03, 1.80027629e-03, 1.80411003e-03, 1.80766636e-03,\n", - " 1.81108600e-03, 1.81445414e-03, 1.81777300e-03, 1.82104465e-03,\n", - " 1.82427099e-03, 1.82745382e-03, 1.83059482e-03, 1.83369556e-03,\n", - " 1.83675750e-03, 1.83959096e-03, 1.84227983e-03, 1.84493462e-03,\n", - " 1.84755645e-03, 1.85014637e-03, 1.85270536e-03, 1.85523437e-03,\n", - " 1.85773430e-03, 1.86020600e-03, 1.86265028e-03, 1.86490773e-03,\n", - " 1.86700685e-03, 1.86908210e-03, 1.87113410e-03, 1.87316342e-03,\n", - " 1.87517063e-03, 1.87715628e-03, 1.87912087e-03, 1.88106491e-03,\n", - " 1.88298886e-03, 1.88476379e-03, 1.88636554e-03, 1.88795026e-03,\n", - " 1.88951831e-03, 1.89107002e-03, 1.89260572e-03, 1.89412571e-03,\n", - " 1.89563031e-03, 1.89711981e-03, 1.89859450e-03, 1.89995499e-03,\n", - " 1.90112821e-03, 1.90228942e-03, 1.90343881e-03, 1.90457655e-03,\n", - " 1.90570284e-03, 1.90681784e-03, 1.90792172e-03, 1.90901466e-03,\n", - " 1.91009682e-03, 1.91109683e-03, 1.91189707e-03, 1.91268917e-03,\n", - " 1.91347320e-03, 1.91424926e-03, 1.91501742e-03, 1.91577776e-03,\n", - " 1.91653037e-03, 1.91727534e-03, 1.91801273e-03, 1.91869724e-03,\n", - " 1.91917141e-03, 1.91964050e-03, 1.92010453e-03, 1.92056352e-03,\n", - " 1.92101747e-03, 1.92146641e-03, 1.92191036e-03, 1.92234933e-03,\n", - " 1.92278335e-03, 1.92319091e-03, 1.92337960e-03, 1.92356569e-03,\n", - " 1.92374915e-03, 1.92392994e-03, 1.92410803e-03, 1.92428338e-03,\n", - " 1.92445598e-03, 1.92462579e-03, 1.92479279e-03, 1.92495697e-03,\n", - " 1.92489574e-03, 1.92483392e-03, 1.92477144e-03, 1.92470822e-03,\n", - " 1.92464419e-03, 1.92457929e-03, 1.92451346e-03, 1.92444665e-03,\n", - " 1.92437878e-03, 1.92430981e-03, 1.92404913e-03, 1.92377031e-03,\n", - " 1.92349241e-03, 1.92321534e-03, 1.92293900e-03, 1.92266330e-03,\n", - " 1.92238816e-03, 1.92211348e-03, 1.92183919e-03, 1.92156521e-03,\n", - " 1.92113033e-03, 1.92066176e-03, 1.92019538e-03, 1.91973107e-03,\n", - " 1.91926872e-03, 1.91880822e-03, 1.91834946e-03, 1.91789235e-03,\n", - " 1.91743678e-03, 1.91698266e-03, 1.91639563e-03, 1.91576127e-03,\n", - " 1.91513011e-03, 1.91450199e-03, 1.91387680e-03, 1.91325442e-03,\n", - " 1.91263471e-03, 1.91201758e-03, 1.91140290e-03, 1.91079057e-03,\n", - " 1.91007057e-03, 1.90929149e-03, 1.90851635e-03, 1.90774501e-03,\n", - " 1.90697734e-03, 1.90621320e-03, 1.90545246e-03, 1.90469500e-03,\n", - " 1.90394071e-03, 1.90318945e-03, 1.90235315e-03, 1.90144776e-03,\n", - " 1.90054687e-03, 1.89965033e-03, 1.89875800e-03, 1.89786974e-03,\n", - " 1.89698541e-03, 1.89610489e-03, 1.89522806e-03, 1.89435478e-03,\n", - " 1.89341660e-03, 1.89240098e-03, 1.89139024e-03, 1.89038422e-03,\n", - " 1.88938280e-03, 1.88838582e-03, 1.88739314e-03, 1.88640465e-03,\n", - " 1.88542019e-03, 1.88443965e-03, 1.88341204e-03, 1.88230017e-03,\n", - " 1.88119342e-03, 1.88009163e-03, 1.87899466e-03, 1.87790237e-03,\n", - " 1.87681461e-03, 1.87573126e-03, 1.87465219e-03, 1.87357726e-03,\n", - " 1.87247092e-03, 1.87127493e-03, 1.87008417e-03, 1.86889849e-03,\n", - " 1.86771774e-03, 1.86654178e-03, 1.86537047e-03, 1.86420367e-03,\n", - " 1.86304126e-03, 1.86188311e-03, 1.86070721e-03, 1.85943761e-03,\n", - " 1.85817324e-03, 1.85691395e-03, 1.85565960e-03, 1.85441005e-03,\n", - " 1.85316516e-03, 1.85192480e-03, 1.85068884e-03, 1.84945716e-03,\n", - " 1.84821951e-03, 1.84688535e-03, 1.84555635e-03, 1.84423234e-03,\n", - " 1.84291318e-03, 1.84159875e-03, 1.84028891e-03, 1.83898353e-03,\n", - " 1.83768247e-03, 1.83638563e-03, 1.83509287e-03, 1.83370197e-03,\n", - " 1.83231605e-03, 1.83093497e-03, 1.82955859e-03, 1.82818679e-03,\n", - " 1.82681943e-03, 1.82545638e-03, 1.82409753e-03, 1.82274274e-03,\n", - " 1.82139189e-03, 1.81995953e-03, 1.81852335e-03, 1.81709178e-03,\n", - " 1.81566470e-03, 1.81424198e-03, 1.81282350e-03, 1.81140912e-03,\n", - " 1.80999873e-03, 1.80859221e-03, 1.80718944e-03, 1.80571993e-03,\n", - " 1.80423917e-03, 1.80276276e-03, 1.80129057e-03, 1.79982247e-03,\n", - " 1.79835835e-03, 1.79689808e-03, 1.79544154e-03, 1.79398863e-03,\n", - " 1.79253922e-03, 1.79103613e-03, 1.78951568e-03, 1.78799925e-03,\n", - " 1.78648674e-03, 1.78497801e-03, 1.78347295e-03, 1.78197144e-03,\n", - " 1.78047337e-03, 1.77897863e-03, 1.77748711e-03, 1.77595337e-03,\n", - " 1.77439738e-03, 1.77284507e-03, 1.77129632e-03, 1.76975101e-03,\n", - " 1.76820902e-03, 1.76667026e-03, 1.76513460e-03, 1.76360195e-03,\n", - " 1.76207218e-03, 1.76051016e-03, 1.75892219e-03, 1.75733751e-03,\n", - " 1.75575600e-03, 1.75417757e-03, 1.75260209e-03, 1.75102946e-03,\n", - " 1.74945958e-03, 1.74789233e-03, 1.74632763e-03, 1.74473922e-03,\n", - " 1.74312228e-03, 1.74150821e-03, 1.73989692e-03, 1.73828830e-03,\n", - " 1.73668224e-03, 1.73507863e-03, 1.73347738e-03, 1.73187838e-03,\n", - " 1.73028154e-03, 1.72866823e-03, 1.72702486e-03, 1.72538395e-03,\n", - " 1.72374539e-03, 1.72210907e-03, 1.72047490e-03, 1.71884276e-03,\n", - " 1.71721256e-03, 1.71558421e-03, 1.71395760e-03, 1.71232050e-03,\n", - " 1.71065289e-03, 1.70898728e-03, 1.70732357e-03, 1.70566166e-03,\n", - " 1.70400145e-03, 1.70234285e-03, 1.70068576e-03, 1.69903008e-03,\n", - " 1.69737572e-03, 1.69571562e-03, 1.69402558e-03, 1.69233708e-03,\n", - " 1.69065001e-03, 1.68896429e-03, 1.68727981e-03, 1.68559649e-03,\n", - " 1.68391422e-03, 1.68223292e-03, 1.68055250e-03, 1.67886994e-03,\n", - " 1.67715900e-03, 1.67544912e-03, 1.67374021e-03, 1.67203216e-03,\n", - " 1.67032489e-03, 1.66861830e-03, 1.66691230e-03, 1.66520681e-03,\n", - " 1.66350174e-03, 1.66179699e-03, 1.66006644e-03, 1.65833646e-03,\n", - " 1.65660695e-03, 1.65487782e-03, 1.65314898e-03, 1.65142035e-03,\n", - " 1.64969183e-03, 1.64796333e-03, 1.64623478e-03, 1.64450609e-03,\n", - " 1.64275884e-03, 1.64100981e-03, 1.63926075e-03, 1.63751157e-03,\n", - " 1.63576219e-03, 1.63401252e-03, 1.63226246e-03, 1.63051195e-03,\n", - " 1.62876089e-03, 1.62700920e-03, 1.62524507e-03, 1.62347787e-03,\n", - " 1.62171012e-03, 1.61994175e-03, 1.61817267e-03, 1.61640279e-03,\n", - " 1.61463202e-03, 1.61286029e-03, 1.61108751e-03, 1.60931360e-03,\n", - " 1.60753228e-03, 1.60574762e-03, 1.60396190e-03, 1.60217503e-03,\n", - " 1.60038693e-03, 1.59859751e-03, 1.59680670e-03, 1.59501440e-03,\n", - " 1.59322054e-03, 1.59142504e-03, 1.58962606e-03, 1.58782453e-03,\n", - " 1.58602141e-03, 1.58421661e-03, 1.58241005e-03, 1.58060165e-03,\n", - " 1.57879131e-03, 1.57697897e-03, 1.57516453e-03, 1.57334793e-03,\n", - " 1.57153073e-03, 1.56971281e-03, 1.56789275e-03, 1.56607047e-03,\n", - " 1.56424589e-03, 1.56241892e-03, 1.56058949e-03, 1.55875750e-03,\n", - " 1.55692288e-03, 1.55508556e-03, 1.55324946e-03, 1.55141552e-03,\n", - " 1.54957889e-03, 1.54773948e-03, 1.54589723e-03, 1.54405203e-03,\n", - " 1.54220382e-03, 1.54035250e-03, 1.53849800e-03, 1.53664023e-03,\n", - " 1.53478445e-03, 1.53293479e-03, 1.53108187e-03, 1.52922562e-03,\n", - " 1.52736595e-03, 1.52550277e-03, 1.52363601e-03, 1.52176558e-03,\n", - " 1.51989140e-03, 1.51801339e-03, 1.51613708e-03, 1.51427191e-03,\n", - " 1.51240293e-03, 1.51053002e-03, 1.50865313e-03, 1.50677215e-03,\n", - " 1.50488701e-03, 1.50299763e-03, 1.50110390e-03, 1.49920577e-03,\n", - " 1.49730797e-03, 1.49542747e-03, 1.49354257e-03, 1.49165316e-03,\n", - " 1.48975917e-03, 1.48786051e-03, 1.48595709e-03, 1.48404883e-03,\n", - " 1.48213565e-03, 1.48021745e-03, 1.47829712e-03, 1.47640141e-03,\n", - " 1.47450070e-03, 1.47259488e-03, 1.47068387e-03, 1.46876759e-03,\n", - " 1.46684595e-03, 1.46491885e-03, 1.46298622e-03, 1.46104796e-03,\n", - " 1.45910398e-03, 1.45719315e-03, 1.45527668e-03, 1.45335450e-03,\n", - " 1.45142652e-03, 1.44949264e-03, 1.44755277e-03, 1.44560683e-03,\n", - " 1.44365472e-03, 1.44169635e-03, 1.43973163e-03, 1.43780160e-03,\n", - " 1.43586942e-03, 1.43393089e-03, 1.43198593e-03, 1.43003443e-03,\n", - " 1.42807630e-03, 1.42611146e-03, 1.42413980e-03, 1.42216124e-03,\n", - " 1.42017567e-03, 1.41822530e-03, 1.41627740e-03, 1.41432251e-03,\n", - " 1.41236053e-03, 1.41039136e-03, 1.40841491e-03, 1.40643108e-03,\n", - " 1.40443977e-03, 1.40244088e-03, 1.40043432e-03, 1.39846238e-03,\n", - " 1.39649874e-03, 1.39452744e-03, 1.39254839e-03, 1.39056147e-03,\n", - " 1.38856660e-03, 1.38656366e-03, 1.38455256e-03, 1.38253319e-03,\n", - " 1.38050545e-03, 1.37851065e-03, 1.37653123e-03, 1.37454346e-03,\n", - " 1.37254725e-03, 1.37054249e-03, 1.36852906e-03, 1.36650687e-03,\n", - " 1.36447581e-03, 1.36243577e-03, 1.36038664e-03, 1.35836762e-03,\n", - " 1.35637235e-03, 1.35436804e-03, 1.35235457e-03, 1.35033183e-03,\n", - " 1.34829971e-03, 1.34625810e-03, 1.34420689e-03, 1.34214596e-03,\n", - " 1.34007519e-03, 1.33803052e-03, 1.33601934e-03, 1.33399838e-03,\n", - " 1.33196753e-03, 1.32992668e-03, 1.32787570e-03, 1.32581448e-03,\n", - " 1.32374290e-03, 1.32166084e-03, 1.31956817e-03, 1.31749632e-03,\n", - " 1.31546914e-03, 1.31343143e-03, 1.31138308e-03, 1.30932395e-03,\n", - " 1.30725394e-03, 1.30517290e-03, 1.30308071e-03, 1.30097725e-03,\n", - " 1.29886239e-03, 1.29676175e-03, 1.29471848e-03, 1.29266390e-03,\n", - " 1.29059790e-03, 1.28852034e-03, 1.28643108e-03, 1.28433000e-03,\n", - " 1.28221695e-03, 1.28009180e-03, 1.27795442e-03, 1.27582330e-03,\n", - " 1.27376383e-03, 1.27169227e-03, 1.26960847e-03, 1.26751228e-03,\n", - " 1.26540358e-03, 1.26328220e-03, 1.26114802e-03, 1.25900088e-03,\n", - " 1.25684064e-03, 1.25467722e-03, 1.25260147e-03, 1.25051279e-03,\n", - " 1.24841102e-03, 1.24629602e-03, 1.24416764e-03, 1.24202572e-03,\n", - " 1.23987010e-03, 1.23770064e-03, 1.23551718e-03, 1.23331955e-03,\n", - " 1.23122740e-03, 1.22912146e-03, 1.22700157e-03, 1.22486755e-03,\n", - " 1.22271925e-03, 1.22055651e-03, 1.21837916e-03, 1.21618702e-03,\n", - " 1.21397994e-03, 1.21175774e-03, 1.20963742e-03, 1.20751409e-03,\n", - " 1.20537588e-03, 1.20322264e-03, 1.20105418e-03, 1.19887032e-03,\n", - " 1.19667090e-03, 1.19445572e-03, 1.19222461e-03, 1.18997739e-03,\n", - " 1.18782707e-03, 1.18568619e-03, 1.18352950e-03, 1.18135680e-03,\n", - " 1.17916791e-03, 1.17696265e-03, 1.17474080e-03, 1.17250219e-03,\n", - " 1.17024661e-03, 1.16797388e-03, 1.16579161e-03, 1.16363305e-03,\n", - " 1.16145769e-03, 1.15926531e-03, 1.15705572e-03, 1.15482872e-03,\n", - " 1.15258409e-03, 1.15032163e-03, 1.14804112e-03, 1.14574235e-03,\n", - " 1.14352608e-03, 1.14134968e-03, 1.13915544e-03, 1.13694315e-03,\n", - " 1.13471257e-03, 1.13246350e-03, 1.13019570e-03, 1.12790894e-03,\n", - " 1.12560301e-03, 1.12327766e-03, 1.12102516e-03, 1.11883078e-03,\n", - " 1.11661748e-03, 1.11438501e-03, 1.11213315e-03, 1.10986165e-03,\n", - " 1.10757027e-03, 1.10525876e-03, 1.10292687e-03, 1.10057436e-03,\n", - " 1.09828326e-03, 1.09607074e-03, 1.09383817e-03, 1.09158527e-03,\n", - " 1.08931181e-03, 1.08701751e-03, 1.08470212e-03, 1.08236536e-03,\n", - " 1.08000696e-03, 1.07762666e-03, 1.07529440e-03, 1.07306359e-03,\n", - " 1.07081153e-03, 1.06853795e-03, 1.06624255e-03, 1.06392506e-03,\n", - " 1.06158520e-03, 1.05922266e-03, 1.05683717e-03, 1.05442841e-03,\n", - " 1.05205223e-03, 1.04980298e-03, 1.04753122e-03, 1.04523666e-03,\n", - " 1.04291898e-03, 1.04057789e-03, 1.03821307e-03, 1.03582420e-03,\n", - " 1.03341097e-03, 1.03097305e-03, 1.02854998e-03, 1.02628212e-03,\n", - " 1.02399043e-03, 1.02167460e-03, 1.01933428e-03, 1.01696915e-03,\n", - " 1.01457886e-03, 1.01216306e-03, 1.00972142e-03, 1.00725356e-03,\n", - " 1.00478037e-03, 1.00249374e-03, 1.00018190e-03, 9.97844488e-04,\n", - " 9.95481142e-04, 9.93091500e-04, 9.90675189e-04, 9.88231832e-04,\n", - " 9.85761045e-04, 9.83262440e-04, 9.80735620e-04, 9.78430063e-04,\n", - " 9.76097820e-04, 9.73738505e-04, 9.71351724e-04, 9.68937078e-04,\n", - " 9.66494160e-04, 9.64022557e-04, 9.61521850e-04, 9.58991612e-04,\n", - " 9.56431409e-04, 9.54082684e-04, 9.51729790e-04, 9.49348234e-04,\n", - " 9.46937585e-04, 9.44497406e-04, 9.42027252e-04, 9.39526672e-04,\n", - " 9.36995203e-04, 9.34432379e-04, 9.31837723e-04, 9.29442553e-04,\n", - " 9.27068745e-04, 9.24664588e-04, 9.22229611e-04, 9.19763334e-04,\n", - " 9.17265270e-04, 9.14734922e-04, 9.12171785e-04, 9.09575343e-04,\n", - " 9.06945073e-04, 9.04499868e-04, 9.02104871e-04, 8.99677732e-04,\n", - " 8.97217936e-04, 8.94724955e-04, 8.92198254e-04, 8.89637287e-04,\n", - " 8.87041497e-04, 8.84410318e-04, 8.81743173e-04, 8.79243986e-04,\n", - " 8.76827512e-04, 8.74376989e-04, 8.71891848e-04, 8.69371511e-04,\n", - " 8.66815389e-04, 8.64222881e-04, 8.61593371e-04, 8.58926237e-04,\n", - " 8.56220840e-04, 8.53663322e-04, 8.51225069e-04, 8.48750730e-04,\n", - " 8.46239683e-04, 8.43691288e-04, 8.41104897e-04, 8.38479845e-04,\n", - " 8.35815455e-04, 8.33111037e-04, 8.30365884e-04, 8.27745225e-04,\n", - " 8.25284874e-04, 8.22786263e-04, 8.20248704e-04, 8.17671494e-04,\n", - " 8.15053913e-04, 8.12395229e-04, 8.09694692e-04, 8.06951536e-04,\n", - " 8.04164981e-04, 8.01475843e-04, 7.98993060e-04, 7.96469689e-04,\n", - " 7.93904968e-04, 7.91298121e-04, 7.88648352e-04, 7.85954848e-04,\n", - " 7.83216779e-04, 7.80433294e-04, 7.77603526e-04, 7.74839968e-04,\n", - " 7.72334402e-04, 7.69785750e-04, 7.67193168e-04, 7.64555795e-04,\n", - " 7.61872750e-04, 7.59143130e-04, 7.56366011e-04, 7.53540449e-04,\n", - " 7.50665475e-04, 7.47820859e-04, 7.45292144e-04, 7.42717655e-04,\n", - " 7.40096459e-04, 7.37427598e-04, 7.34710092e-04, 7.31942936e-04,\n", - " 7.29125103e-04, 7.26255537e-04, 7.23333158e-04, 7.20400045e-04,\n", - " 7.17847798e-04, 7.15246883e-04, 7.12596262e-04, 7.09894868e-04,\n", - " 7.07141609e-04, 7.04335366e-04, 7.01474988e-04, 6.98559296e-04,\n", - " 6.95587081e-04, 6.92557100e-04, 6.89980928e-04, 6.87352963e-04,\n", - " 6.84672045e-04, 6.81936987e-04, 6.79146568e-04, 6.76299534e-04,\n", - " 6.73394597e-04, 6.70430436e-04, 6.67405690e-04, 6.64318965e-04,\n", - " 6.61668897e-04, 6.59013224e-04, 6.56301081e-04, 6.53531136e-04,\n", - " 6.50702022e-04, 6.47812333e-04, 6.44860621e-04, 6.41845400e-04,\n", - " 6.38765137e-04, 6.35618258e-04, 6.32886599e-04, 6.30202537e-04,\n", - " 6.27458179e-04, 6.24652031e-04, 6.21782557e-04, 6.18848173e-04,\n", - " 6.15847249e-04, 6.12778104e-04, 6.09639008e-04, 6.06428177e-04,\n", - " 6.03606167e-04, 6.01595254e-04, 5.98866553e-04, 5.96050698e-04,\n", - " 5.93146233e-04, 5.90151664e-04, 5.87065464e-04, 5.83886070e-04,\n", - " 5.80611877e-04, 5.77241243e-04, 5.74209879e-04, 5.71340631e-04,\n", - " 5.68384724e-04, 5.65340650e-04, 5.62206859e-04, 5.58981762e-04,\n", - " 5.55663726e-04, 5.52251071e-04, 5.48742070e-04, 5.45134946e-04,\n", - " 5.41832755e-04, 5.38778742e-04, 5.35637584e-04, 5.32407663e-04,\n", - " 5.29087310e-04, 5.25674806e-04, 5.22168376e-04, 5.18566189e-04,\n", - " 5.14866354e-04, 5.11066917e-04, 5.07529788e-04, 5.04338912e-04,\n", - " 5.01060746e-04, 4.97693526e-04, 4.94235422e-04, 4.90684538e-04,\n", - " 4.87038913e-04, 4.83296510e-04, 4.79455216e-04, 4.75512839e-04,\n", - " 4.71780877e-04, 4.68506268e-04, 4.65144410e-04, 4.61693337e-04,\n", - " 4.58151000e-04, 4.54515269e-04, 4.50783923e-04, 4.46954648e-04,\n", - " 4.43025030e-04, 4.38992549e-04, 4.35108147e-04, 4.31806537e-04,\n", - " 4.28417676e-04, 4.24939324e-04, 4.21369135e-04, 4.17704655e-04,\n", - " 4.13943313e-04, 4.10082412e-04, 4.06119125e-04, 4.02050483e-04,\n", - " 3.98055647e-04, 3.94785210e-04, 3.91427173e-04, 3.87978920e-04,\n", - " 3.84437699e-04, 3.80800612e-04, 3.77064604e-04, 3.73226455e-04,\n", - " 3.69282766e-04, 3.65229949e-04, 3.61162675e-04, 3.57980320e-04,\n", - " 3.54709264e-04, 3.51346380e-04, 3.47888355e-04, 3.44331683e-04,\n", - " 3.40672643e-04, 3.36907289e-04, 3.33031430e-04, 3.29040616e-04,\n", - " 3.24930111e-04, 3.21888211e-04, 3.18755242e-04, 3.15527376e-04,\n", - " 3.12200532e-04, 3.08770362e-04, 3.05232222e-04, 3.01581157e-04,\n", - " 2.97811870e-04, 2.93918698e-04, 2.89895578e-04, 2.86921679e-04,\n", - " 2.83968880e-04, 2.80915933e-04, 2.77757693e-04, 2.74488640e-04,\n", - " 2.71102843e-04, 2.67593927e-04, 2.63955032e-04, 2.60178770e-04,\n", - " 2.56257180e-04, 2.53359006e-04, 2.50614729e-04, 2.47761907e-04,\n", - " 2.44793909e-04, 2.41703566e-04, 2.38483122e-04, 2.35124176e-04,\n", - " 2.31617618e-04, 2.27953567e-04, 2.24121288e-04, 2.21279064e-04,\n", - " 2.18751788e-04, 2.16103064e-04, 2.13324147e-04, 2.10405508e-04,\n", - " 2.07336750e-04, 2.04106525e-04, 2.00702428e-04, 1.97110887e-04,\n", - " 1.93317042e-04, 1.90469136e-04, 1.88137999e-04, 1.85665927e-04,\n", - " 1.83041120e-04, 1.80250612e-04, 1.77280144e-04, 1.74114025e-04,\n", - " 1.70734967e-04, 1.67123906e-04, 1.63259803e-04, 1.60279281e-04,\n", - " 1.58078091e-04, 1.55706847e-04, 1.53149385e-04, 1.50387833e-04,\n", - " 1.47402420e-04, 1.44171266e-04, 1.40670147e-04, 1.36872240e-04,\n", - " 1.32747838e-04, 1.29411770e-04, 1.27208258e-04, 1.24793597e-04,\n", - " 1.22146171e-04, 1.19242118e-04, 1.16055125e-04, 1.12556217e-04,\n", - " 1.08713555e-04, 1.04492244e-04, 9.98541681e-05, 9.58579334e-05,\n", - " 9.34729061e-05, 9.08345120e-05, 8.79185414e-05, 8.46991456e-05,\n", - " 8.11489856e-05, 7.72837722e-05, 7.25803561e-05, 6.77265229e-05,\n", - " 6.26636182e-05, 5.82506511e-05, 5.61431635e-05, 5.39383175e-05,\n", - " 5.16071185e-05, 4.91159752e-05, 4.64256749e-05, 4.34900835e-05,\n", - " 4.02544885e-05, 3.66534733e-05, 3.26081771e-05, 2.87126646e-05,\n", - " 2.76019832e-05, 2.63535234e-05, 2.49408708e-05, 2.33323619e-05,\n", - " 2.14898043e-05, 1.93668211e-05, 1.69066765e-05, 1.40393699e-05,\n", - " 1.06776702e-05, 7.06641033e-06, 6.66831531e-06, 6.22473286e-06,\n", - " 5.72950966e-06, 5.17545292e-06, 4.55408824e-06, 3.85533996e-06,\n", - " 3.06710260e-06, 2.17465683e-06, 1.15985947e-06, 0.00000000e+00])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "eta*Jr*pc.params[-1].Ip*1e6" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3.1102368492407275" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].volume_integral(np.linspace(0.0001,1,100),pc.params[-1]._P_OH_prof(np.linspace(0.0001,1,100),22,1.9))" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (1816939382.py, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[18], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m pc.params[-1].\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], - "source": [ - "pc.params[-1]." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(pc.params[-1].get_eta_NC(np.linspace(1e-3, 1, 1000),20,1.9))\n", - "plt.plot(Jr/500000)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.00012464532822256346" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].get_Vloop(22,1.9)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "159.0948987619956" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].V" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0. , 5.48390066, 19.24294004, 31.19223176,\n", - " 40.61503514, 51.16872718, 63.39425523, 73.16129108,\n", - " 83.81676324, 94.93912681, 104.89499338, 116.53753563,\n", - " 127.3350497 , 137.68678083, 148.65070682, 159.47774705,\n", - " 170.738411 , 181.84831996, 192.71318646, 204.1750246 ,\n", - " 214.61007754, 226.33386304, 237.24274361, 248.67947271,\n", - " 260.46077415, 272.03874777, 283.32552564, 295.21296782,\n", - " 306.64223527, 318.84173294, 330.72728046, 343.06512261,\n", - " 354.92288648, 367.36482733, 380.56648316, 392.57190208,\n", - " 405.72072216, 419.24642901, 432.41947977, 446.9674669 ,\n", - " 461.16306474, 477.17461767, 493.20559888, 510.49077186,\n", - " 528.62902588, 547.90132839, 568.60114319, 592.05674324,\n", - " 617.14107325, 646.26612583])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pc.params[-1].agrid" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6.3334507896370225" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.pi*pc.params[-1].a**2*1.4" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "openPOPCON", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..e6ebbf9 --- /dev/null +++ b/uv.lock @@ -0,0 +1,2486 @@ +version = 1 +revision = 3 +requires-python = ">=3.10, <3.14" +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", + "python_full_version < '3.11'", +] + +[options] +exclude-newer = "2026-07-13T08:53:58.790952Z" +exclude-newer-span = "P1W" + +[[package]] +name = "anyio" +version = "4.14.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "idna" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" }, +] + +[[package]] +name = "appnope" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" }, +] + +[[package]] +name = "argon2-cffi" +version = "25.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "argon2-cffi-bindings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" }, +] + +[[package]] +name = "argon2-cffi-bindings" +version = "25.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload-time = "2025-07-30T10:01:50.815Z" }, + { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload-time = "2025-07-30T10:01:51.681Z" }, + { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload-time = "2025-07-30T10:01:53.184Z" }, + { url = "https://files.pythonhosted.org/packages/c1/93/44365f3d75053e53893ec6d733e4a5e3147502663554b4d864587c7828a7/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6", size = 81246, upload-time = "2025-07-30T10:01:54.145Z" }, + { url = "https://files.pythonhosted.org/packages/09/52/94108adfdd6e2ddf58be64f959a0b9c7d4ef2fa71086c38356d22dc501ea/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a", size = 87126, upload-time = "2025-07-30T10:01:55.074Z" }, + { url = "https://files.pythonhosted.org/packages/72/70/7a2993a12b0ffa2a9271259b79cc616e2389ed1a4d93842fac5a1f923ffd/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d", size = 80343, upload-time = "2025-07-30T10:01:56.007Z" }, + { url = "https://files.pythonhosted.org/packages/78/9a/4e5157d893ffc712b74dbd868c7f62365618266982b64accab26bab01edc/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99", size = 86777, upload-time = "2025-07-30T10:01:56.943Z" }, + { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload-time = "2025-07-30T10:01:57.759Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload-time = "2025-07-30T10:01:58.56Z" }, + { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload-time = "2025-07-30T10:01:59.329Z" }, + { url = "https://files.pythonhosted.org/packages/11/2d/ba4e4ca8d149f8dcc0d952ac0967089e1d759c7e5fcf0865a317eb680fbb/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e", size = 24549, upload-time = "2025-07-30T10:02:00.101Z" }, + { url = "https://files.pythonhosted.org/packages/5c/82/9b2386cc75ac0bd3210e12a44bfc7fd1632065ed8b80d573036eecb10442/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d", size = 25539, upload-time = "2025-07-30T10:02:00.929Z" }, + { url = "https://files.pythonhosted.org/packages/31/db/740de99a37aa727623730c90d92c22c9e12585b3c98c54b7960f7810289f/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584", size = 28467, upload-time = "2025-07-30T10:02:02.08Z" }, + { url = "https://files.pythonhosted.org/packages/71/7a/47c4509ea18d755f44e2b92b7178914f0c113946d11e16e626df8eaa2b0b/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690", size = 27355, upload-time = "2025-07-30T10:02:02.867Z" }, + { url = "https://files.pythonhosted.org/packages/ee/82/82745642d3c46e7cea25e1885b014b033f4693346ce46b7f47483cf5d448/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520", size = 29187, upload-time = "2025-07-30T10:02:03.674Z" }, +] + +[[package]] +name = "arrow" +version = "1.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "python-dateutil" }, + { name = "tzdata" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload-time = "2025-10-18T17:46:46.761Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload-time = "2025-10-18T17:46:45.663Z" }, +] + +[[package]] +name = "asttokens" +version = "3.0.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/25/1e/faf0f247f6f881b98fc4d6d07e14085cb89d13665084e6d6ac1dc2c03d0b/asttokens-3.0.2.tar.gz", hash = "sha256:3ecdbd8f2cc195f53ccada3a613538bb5f9ef6f6869129f13e03c30a677b8fe2", size = 63136, upload-time = "2026-07-12T03:31:49.084Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d4/2b/04b8a15f3a1c77bc79ddf5c73875327f34b4fa75982df2b76e45e402d364/asttokens-3.0.2-py3-none-any.whl", hash = "sha256:9da13157f5b28becde0bd374fc677dcd3c290614264eff096f167c469cd9f933", size = 28702, upload-time = "2026-07-12T03:31:47.542Z" }, +] + +[[package]] +name = "async-lru" +version = "2.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e8/1f/989ecfef8e64109a489fff357450cb73fa73a865a92bd8c272170a6922c2/async_lru-2.3.0.tar.gz", hash = "sha256:89bdb258a0140d7313cf8f4031d816a042202faa61d0ab310a0a538baa1c24b6", size = 16332, upload-time = "2026-03-19T01:04:32.413Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e5/e2/c2e3abf398f80732e58b03be77bde9022550d221dd8781bf586bd4d97cc1/async_lru-2.3.0-py3-none-any.whl", hash = "sha256:eea27b01841909316f2cc739807acea1c623df2be8c5cfad7583286397bb8315", size = 8403, upload-time = "2026-03-19T01:04:30.883Z" }, +] + +[[package]] +name = "attrs" +version = "26.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" }, +] + +[[package]] +name = "babel" +version = "2.18.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" }, +] + +[[package]] +name = "beautifulsoup4" +version = "4.15.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "soupsieve" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/43/65/318323f98dbee45d42dff61d8f047181bc6f2268a9068cfad035a46be5af/beautifulsoup4-4.15.0.tar.gz", hash = "sha256:288e3ca7d54b06f2ac191970bc275c1939cb46d450b255bf6718b04aa37ab4f7", size = 632571, upload-time = "2026-06-07T16:44:20.453Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/88/c6/92fcd42f1ba33e1184263f25bfabf3d27c383410470f169e4b8163bf9c17/beautifulsoup4-4.15.0-py3-none-any.whl", hash = "sha256:d6f88de62e1d4e38ecb1077eb9724cd0eff29d2a08ca16a401e9b9e93f117cf9", size = 109924, upload-time = "2026-06-07T16:44:21.566Z" }, +] + +[[package]] +name = "bleach" +version = "6.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/48/3c/e12ac860709702bd5ebeb9b56a4fe334f1001246ee1b8f2b7ee28912df7d/bleach-6.4.0.tar.gz", hash = "sha256:4202482733d85cedd04e59fcb2f89f4e4c7c385a78d3c3c23c30446843a37452", size = 204857, upload-time = "2026-06-05T13:01:13.734Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/58/9d/40b6267367182187139a4000b82a3b287d84d745bccd808e75d916920e9d/bleach-6.4.0-py3-none-any.whl", hash = "sha256:4b6b6a54fff2e69a3dde9d21cc6301220bee3c3cb792187d11403fd795031081", size = 165109, upload-time = "2026-06-05T13:01:12.504Z" }, +] + +[package.optional-dependencies] +css = [ + { name = "tinycss2" }, +] + +[[package]] +name = "certifi" +version = "2026.6.17" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c9/c7/424b75da314c1045981bd9777432fad05a9e0c69daa4ed7e308bbaffe405/certifi-2026.6.17.tar.gz", hash = "sha256:024c88eeec92ca068db80f02b8b07c9cef7b9fe261d1d535abfd5abd6f6af432", size = 134594, upload-time = "2026-06-17T10:31:07.894Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/2f/c5464532e965badff2f4c4c1a3a83f5697f0d7c407ed0cda44aaa99bb451/certifi-2026.6.17-py3-none-any.whl", hash = "sha256:2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db", size = 133289, upload-time = "2026-06-17T10:31:06.348Z" }, +] + +[[package]] +name = "cffi" +version = "2.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pycparser", marker = "implementation_name != 'PyPy'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/57/5f/ff100cae70ebe9d8df1c01a00e510e45d9adb5c1fdda84791b199141de97/cffi-2.1.0.tar.gz", hash = "sha256:efc1cdd798b1aaf39b4610bba7aad28c9bea9b910f25c784ccf9ec1fa719d1f9", size = 531036, upload-time = "2026-07-06T21:34:30.382Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/e9/6d7724983b3d5a0908dbf74f64038ade77c18646ff6636ec7894fd392ce1/cffi-2.1.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:b65f590ef2a44640f9a05dbb548a429b4ade77913ce683ac8b1480777658a6c0", size = 183837, upload-time = "2026-07-06T21:32:09.655Z" }, + { url = "https://files.pythonhosted.org/packages/69/aa/24580a278de21fd7322635556334d9b535f1cbc00b0a3919447cdf464c65/cffi-2.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:164bff1657b2a74f0b6d54e11c9b375bc97b931f2ca9c43fcf875838da1570dd", size = 184226, upload-time = "2026-07-06T21:32:11.196Z" }, + { url = "https://files.pythonhosted.org/packages/88/a9/02cae418ec4beb282ace11958d9d4737793439d561fadc7e6d56f2e2b354/cffi-2.1.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:c941bb58d5a6e1c3892d86e42927ed6c180302f07e6d395d08c416e594b98b46", size = 211107, upload-time = "2026-07-06T21:32:12.328Z" }, + { url = "https://files.pythonhosted.org/packages/3b/30/c806937ed5e4c2c7ac30d9d6b76b5dc57ff8b75d83800d9bb11a8253cf2a/cffi-2.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a016194dbe13d14ee9556e734b772d8d67b947092b268d757fd4290e3ba2dfc2", size = 218733, upload-time = "2026-07-06T21:32:13.67Z" }, + { url = "https://files.pythonhosted.org/packages/f9/cf/398272b8bbfd58aa314fda5a7f1cdbb26d1d78ae324a11211521315dd1f0/cffi-2.1.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:03e9810d18c646077e501f661b682fbf5dee4676048527ca3cffe66faa9960dd", size = 205543, upload-time = "2026-07-06T21:32:15.148Z" }, + { url = "https://files.pythonhosted.org/packages/45/ca/f91641185cdd90c36d317a9dc7f85e88ef8682d8b300977baff5e23c35d8/cffi-2.1.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:19c54ac121cad98450b4896fa9a43ee0180d57bc4bc911a33db6cab1efab6cd3", size = 205460, upload-time = "2026-07-06T21:32:16.479Z" }, + { url = "https://files.pythonhosted.org/packages/38/66/04781a77b411f0bb5b234d62c1814754ab75ebe455ccff1b08e8d7aae98f/cffi-2.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d433a51f1870e43a13b6732f92aaf540ff77c2015097c78556f75a2d6c030e0", size = 218760, upload-time = "2026-07-06T21:32:17.98Z" }, + { url = "https://files.pythonhosted.org/packages/d0/9a/bb1d5ed9c3fcae158e9f6391bf309c95d98c2ac37ed56573228471d0af5e/cffi-2.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3d7f118b5adbfdfead90c25822690b02bc8074fba949bb7858bec4ebd55adb43", size = 221230, upload-time = "2026-07-06T21:32:19.407Z" }, + { url = "https://files.pythonhosted.org/packages/41/aa/3c1409cdd26094efacd1c36c66e0a6eb9d4296e4fd4f9901b8b2042f4323/cffi-2.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:c5f5df567f6eb216de69be06ce55c8b714090fae02b18a3b40da8163b8c5fa9c", size = 213524, upload-time = "2026-07-06T21:32:20.828Z" }, + { url = "https://files.pythonhosted.org/packages/fa/75/74dfb7c3fc6ebbd408038476bd4c1d7e925c62614e7b9c534ecc34218288/cffi-2.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:11b3fb55f4f8ad92274ed26705f65d8f91457de71f5380061eb6d125a768fecd", size = 220341, upload-time = "2026-07-06T21:32:21.9Z" }, + { url = "https://files.pythonhosted.org/packages/70/b6/9003c33a3e7d2c1306f5962e646457dcfe5a8cd8fce6bbe02d7af25db783/cffi-2.1.0-cp310-cp310-win32.whl", hash = "sha256:9d72af0cf10a76a600a9690078fe31c63b9588c8e86bf9fd353f713c84b5db0f", size = 174578, upload-time = "2026-07-06T21:32:23.073Z" }, + { url = "https://files.pythonhosted.org/packages/8a/26/710688310447531c7a22f857c7f79d9855ec18b03e04494ced723fb37e2f/cffi-2.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:fb62edb5bb52cca65fab91a63afa7561607120d26090a7e8fda6fb9f064726da", size = 185071, upload-time = "2026-07-06T21:32:24.671Z" }, + { url = "https://files.pythonhosted.org/packages/d3/67/85c89a59ba36a671e79638f44d466749f08179266a57e4f2ffdf92174072/cffi-2.1.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:02cb7ff33ded4f1532476731f89ede53e2e488a8e6205515a82144246ffa7dcc", size = 183845, upload-time = "2026-07-06T21:32:26.32Z" }, + { url = "https://files.pythonhosted.org/packages/ea/dd/e3b0baa2d3d6a857ac72b7efbf18e32e487c9cdafcc13049ad765495b15e/cffi-2.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f5bce581e6b8c235e566a14768a943b172ada3ed73537bb0c0be1edee312d4e7", size = 184186, upload-time = "2026-07-06T21:32:28.025Z" }, + { url = "https://files.pythonhosted.org/packages/65/68/9f3ef890cf3c6ab97bd531c5677f67613d302165d16f8142b2811782a614/cffi-2.1.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:30b65779d598c370374fefabf138d456fd6f3216bfa7bedfab1ba82025b0cd93", size = 211892, upload-time = "2026-07-06T21:32:29.565Z" }, + { url = "https://files.pythonhosted.org/packages/22/d7/1a74539db16d8bfd839ff1515948948efbb162e574650fd3d846896eea95/cffi-2.1.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:88023dfe18799507b73f1dbb0d14326a17465de1bc9c9c7655c22845e9ddc3a2", size = 218793, upload-time = "2026-07-06T21:32:30.951Z" }, + { url = "https://files.pythonhosted.org/packages/ec/d1/9a5b7169499e8e8d8e636de70b97ac7c9447104d2ff1a2cd94790cea5162/cffi-2.1.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:0a96b74cda968eebbad56d973efe5098974f0a9fb323865bf99ea1fd24e3e64c", size = 205737, upload-time = "2026-07-06T21:32:32.216Z" }, + { url = "https://files.pythonhosted.org/packages/ba/b0/e131a9c41f10607926278453d9596163594fe1c4ebc46efe3b5e5b34eb84/cffi-2.1.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:a5781494d4d400a3f47f8f1da94b324f6e6b440a53387774002890a2a2f4b50f", size = 204909, upload-time = "2026-07-06T21:32:33.655Z" }, + { url = "https://files.pythonhosted.org/packages/fb/d2/4398416cd699b35167947c6e22aca52c47e69ad5695073c9f1f2c52e04aa/cffi-2.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aa7a1b53a2a4452ada2d1b5dade9960b2522f1e61293a811a077439e39029565", size = 217883, upload-time = "2026-07-06T21:32:35.173Z" }, + { url = "https://files.pythonhosted.org/packages/a2/a5/d4fe77b589e5e82d43ebc809bf2e6474afe8e48e32ea050b9357645b6471/cffi-2.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9d8272c0e483b024e1b9ad029821470ed8ec65631dbd90217469da0e7cd89f1c", size = 221251, upload-time = "2026-07-06T21:32:36.527Z" }, + { url = "https://files.pythonhosted.org/packages/22/f0/a2fc43084c0433caf7f461bccc013e28f848d04ee1c5ed7fce71423cf4d9/cffi-2.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:7762faa47e8ff7eb80bd261d9a7d8eea2d8baa69de5e95b70c1f338bbe712f02", size = 214250, upload-time = "2026-07-06T21:32:37.852Z" }, + { url = "https://files.pythonhosted.org/packages/04/8c/b925975448cf20634a9fbd5efceb807219db452653648d2897c0989cab2d/cffi-2.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:89095c1968b4ba8285840e131bf2891b09ae137fe2146905acae0354fbce1b5e", size = 219441, upload-time = "2026-07-06T21:32:39.146Z" }, + { url = "https://files.pythonhosted.org/packages/eb/da/5c4918a2d61d86fa927d716cb3d8e4626ef8dc8f605a599d32f33897f59a/cffi-2.1.0-cp311-cp311-win32.whl", hash = "sha256:64c753a0f87a256020004f37a1c8c02c480e725f910f0b2a0f3f07debd1b2479", size = 174496, upload-time = "2026-07-06T21:32:40.467Z" }, + { url = "https://files.pythonhosted.org/packages/f9/c8/6c2de1d55cf35ef8b92885d5ef280790f0fb9634d87ea1cc315176aecd61/cffi-2.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:4f26194e3d95e06501b942642855aed4f953d55e95d7d01b7c4483db3ecff458", size = 185113, upload-time = "2026-07-06T21:32:41.761Z" }, + { url = "https://files.pythonhosted.org/packages/9e/4e/e8d7cb5783f1841a3c8fb3a7735838d7484d08ec08c9f984b14cac1ac0e9/cffi-2.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:35aaea0c7ee0e58a5cd8c2fd1a48fdf7ece0d2699b7ecdda08194e9ce5dd9b3d", size = 179927, upload-time = "2026-07-06T21:32:42.961Z" }, + { url = "https://files.pythonhosted.org/packages/1e/85/990925db5df586ec90beb97529c853497e7f85ba0234830447faf41c3057/cffi-2.1.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:df2b82571a1b30f58a87bf4e5a9e78d2b1eff6c6ce8fd3aa3757221f93f0863f", size = 184829, upload-time = "2026-07-06T21:32:44.324Z" }, + { url = "https://files.pythonhosted.org/packages/4b/92/e7bb136ad6b5352603732cf907ef862ca103f20f2031c1735a46300c20c9/cffi-2.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:78474632761faa0fb96f30b1c928c84ebcf68713cbb80d15bab09dfe61640fde", size = 184728, upload-time = "2026-07-06T21:32:45.683Z" }, + { url = "https://files.pythonhosted.org/packages/c3/c0/d1ec30ffb370f748f2fb54425972bfef9871e0132e82fb589c46b6676049/cffi-2.1.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:5972433ad71a9e46516584ef60a0fda12d9dc459938d1539c3ddecf9bdc1368d", size = 214815, upload-time = "2026-07-06T21:32:48.557Z" }, + { url = "https://files.pythonhosted.org/packages/1b/dc/5620cf930688be01f2d673804291de757a934c90b946dbdc3d84130c2ea4/cffi-2.1.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b6422532152adf4e59b110cb2808cee7a033800952f5c036b4af047ee43199e7", size = 222429, upload-time = "2026-07-06T21:32:49.848Z" }, + { url = "https://files.pythonhosted.org/packages/4b/a4/77b53abbf7a1e0beb9637edbef2a94d15f9c822f591e85d439ffd91519a6/cffi-2.1.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:46b1c8db8f6122420f32d02fffb924c2fe9bc772d228c7c711748fff56aabb2b", size = 210315, upload-time = "2026-07-06T21:32:51.221Z" }, + { url = "https://files.pythonhosted.org/packages/58/0c/f528df19cc94b675087324d4760d9e6d5bfae97d6217aa4fac43de4f5fcc/cffi-2.1.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9fafc5aa2e2a39aaf7f8cc0c1f044a9b07fca12e558dca53a3cc5c654ad67a7", size = 208859, upload-time = "2026-07-06T21:32:52.512Z" }, + { url = "https://files.pythonhosted.org/packages/62/f2/c9522a81c32132799a1972c39f5c5f8b4c8b9f00488a23feaa6c06f07741/cffi-2.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1e9f50d192a3e525b15a75ab5114e442d83d657b7ec29182a991bc9a88fd3a66", size = 221844, upload-time = "2026-07-06T21:32:53.704Z" }, + { url = "https://files.pythonhosted.org/packages/6e/28/bd53988b9833e8f8ad539d26f4c07a6b3f6bcb1e9e02e7ca038250b3428d/cffi-2.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:98fff996e983a36d3aa2eca83af40c5821202e7e6f32d13ae94e3d2286f10cfe", size = 225287, upload-time = "2026-07-06T21:32:54.907Z" }, + { url = "https://files.pythonhosted.org/packages/79/99/0d0fd37f055224085f42bbb2c022d002e17dde4a97972822327b07d84101/cffi-2.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:379de10ce1ba048b1448599d1b37b24caee16309d1ac98d3982fc997f768700b", size = 223681, upload-time = "2026-07-06T21:32:56.329Z" }, + { url = "https://files.pythonhosted.org/packages/b0/80/c138990aa2a70b1a269f6e06348729836d733d6f970867943f61d367f8cc/cffi-2.1.0-cp312-cp312-win32.whl", hash = "sha256:9b8f0f26ca4e7513c534d351eca551947d053fac438f2a04ac96d882909b0d3a", size = 175269, upload-time = "2026-07-06T21:32:57.777Z" }, + { url = "https://files.pythonhosted.org/packages/a8/eb/f636456ff21a83fc13c032b58cc5dde061691546ac79efa284b2989b7982/cffi-2.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:c97f080ea627e2863524c5af3836e2270b5f5dfff1f104392b959f8df0c5d384", size = 185881, upload-time = "2026-07-06T21:32:59.253Z" }, + { url = "https://files.pythonhosted.org/packages/dd/2c/400ea43e721727dca8a65c4521390e9196757caba4a45643acb2b63271b8/cffi-2.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:6d194185eabd279f1c05ebe3504265ddfc5ad2b58d0714f7db9f01da592e9eb6", size = 180088, upload-time = "2026-07-06T21:33:02.278Z" }, + { url = "https://files.pythonhosted.org/packages/96/88/a996879e2eeccb815f6e3a5967b12a308257412acec882039d386bd2aa7b/cffi-2.1.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:10537b1df4967ca26d21e5072d7d54188354483b91dc75058968d3f0cf13fbda", size = 194331, upload-time = "2026-07-06T21:33:03.697Z" }, + { url = "https://files.pythonhosted.org/packages/58/85/7ae00d5c8dd6266f4e944c3db630f3c5c9a98b61d469c714d848b1d8138a/cffi-2.1.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:a95b05f9baf29b91171b3a8bd2020b028835243e7b0ff6bb23e2a3c228518b1b", size = 196966, upload-time = "2026-07-06T21:33:05.353Z" }, + { url = "https://files.pythonhosted.org/packages/8c/e9/45c3a76ad8d43ad9261f4c95436da61128d3ca545d72b9612c0ab5be0b1c/cffi-2.1.0-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:15faec4adfff450819f3aee0e2e02c812de6edb88203aa58807955db2003472a", size = 184795, upload-time = "2026-07-06T21:33:06.699Z" }, + { url = "https://files.pythonhosted.org/packages/84/4c/82f132cb4418ee6d953d982b19191e87e2a6372c8a4ce36e50b69d6ade4a/cffi-2.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:716ff8ec22f20b4d988b12884086bcef0fc99737043e503f7a3935a6be99b1ea", size = 184746, upload-time = "2026-07-06T21:33:08.071Z" }, + { url = "https://files.pythonhosted.org/packages/a0/1c/4ed5a0e5bdca6cbc275556de3328dd1b76fd0c11cc13c88fe66d1d8715f2/cffi-2.1.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:63960549e4f8dc41e31accb97b975abaecfc44c03e396c093a6436763c2ea7db", size = 214747, upload-time = "2026-07-06T21:33:09.671Z" }, + { url = "https://files.pythonhosted.org/packages/3a/a6/e879bb68cc23a2bc9ba8f4b7d8019f0c2694bad2ab6c4a3701d429439f58/cffi-2.1.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ff067a8d8d880e7809e4ac88eb009bb848870115317b306666502ccad30b147f", size = 222392, upload-time = "2026-07-06T21:33:10.896Z" }, + { url = "https://files.pythonhosted.org/packages/88/f6/01890cfd63c08f8eb96a8319b0443690197d240a8bd6346048cf7bde9190/cffi-2.1.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:3b926723c13eba9f81d2ef3820d63aeceec3b2d4639906047bf675cb8a7a500d", size = 210285, upload-time = "2026-07-06T21:33:12.251Z" }, + { url = "https://files.pythonhosted.org/packages/a6/cf/2b684132056f438567b61e19d690dd31cd0921ace051e0a458be6074369e/cffi-2.1.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:47ff3a8bfd8cb9da1af7524b965127095055654c177fcfc7578debcb015eecd0", size = 208801, upload-time = "2026-07-06T21:33:13.617Z" }, + { url = "https://files.pythonhosted.org/packages/6f/08/f2e7d62c460faae0926f2d6e423694aa409ced3bc1fe2927a0a6e5f05416/cffi-2.1.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:799416bae98336e400981ff6e532d67d5c709cfb30afb79865a1315f94b0e224", size = 221808, upload-time = "2026-07-06T21:33:15.466Z" }, + { url = "https://files.pythonhosted.org/packages/38/37/04f54b8e63a02f3d908332c9effbf8c366167c6f733ed8a3d4f79b7e2a1e/cffi-2.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:961be50688f7fba2fa65f63712d3b9b341a22311f5253460ce933f52f0de1c8c", size = 225241, upload-time = "2026-07-06T21:33:16.869Z" }, + { url = "https://files.pythonhosted.org/packages/a9/d6/c72eecca433cd3e681c65ed313ab4835d9d4a379704d0f628a6a05f51c2e/cffi-2.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:bf5c6cf48238b0eb4c086978c492ad1cbc22373fc5b2d7353b3a598ce6db887a", size = 223588, upload-time = "2026-07-06T21:33:18.239Z" }, + { url = "https://files.pythonhosted.org/packages/c6/4b/e706f67279140f92939da3475ad610df18bfd52d50f14953a8e5fede71d5/cffi-2.1.0-cp313-cp313-win32.whl", hash = "sha256:db3eb7d46527159a878ec3460e9d40615bc25ba337d477db681aea6e4f05c5d2", size = 175248, upload-time = "2026-07-06T21:33:19.799Z" }, + { url = "https://files.pythonhosted.org/packages/5a/47/59eb7975cb0e4ef0afa764ea945b29a5bb4537a9f771cb7d6c8a5dd74c95/cffi-2.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:8e74a6135550c4748af665b1b1118b6aab33b1fc6a16f9aff630af107c3b4512", size = 185717, upload-time = "2026-07-06T21:33:21.47Z" }, + { url = "https://files.pythonhosted.org/packages/5a/af/34fee85c48f8d94efc8597bc09470c9dd274c145f1c12e0fbc6ab6d38d74/cffi-2.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:2282cd5e38aa8accd03e99d1256af8411c84cdbee6a89d841b563fdbd1f3e50f", size = 180114, upload-time = "2026-07-06T21:33:22.515Z" }, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.9" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/bd/2a/23f34ec9d04624958e137efdc394888716353190e75f25dd22c7a2c7a8aa/charset_normalizer-3.4.9.tar.gz", hash = "sha256:673611bbd43f0810bec0b0f028ddeaaa501190339cac411f347ac76917c3ae7b", size = 152439, upload-time = "2026-07-07T14:34:58.454Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ad/81/8e983840c6e5b93b33c2ba81aa3d52c2e42f0e9a690ce7607a2e61da4a5c/charset_normalizer-3.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd6280cf040f233bd7d3407b743b4b4c74f70e8e1c4199cb112a62c941c0772a", size = 322240, upload-time = "2026-07-07T14:32:36.236Z" }, + { url = "https://files.pythonhosted.org/packages/de/d1/b4319dc3229d8272fba305e206fc0a148e2de8d4087917ce62ae6382f359/charset_normalizer-3.4.9-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aa99adc8f081b475a12843953db36831eaf83ec33eb46a90629ca6a5de45a616", size = 216475, upload-time = "2026-07-07T14:32:38.142Z" }, + { url = "https://files.pythonhosted.org/packages/80/33/6c99c1b3e6b8bf730e1bc809b9a2608f224145069114c479a2e9e1494346/charset_normalizer-3.4.9-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c1225416b463483160e4af85d5fc3a9690ccb53fd4b1865a6437825f5ede3209", size = 238670, upload-time = "2026-07-07T14:32:39.658Z" }, + { url = "https://files.pythonhosted.org/packages/7f/f4/ffbb83546e1f198ecc70ecd372b65cf2b50f9068b380abd67640f17a8e18/charset_normalizer-3.4.9-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:16d10d789dd9bcca1173c95af82c58433122564b7bc39385124be735a35cbe99", size = 233476, upload-time = "2026-07-07T14:32:41.155Z" }, + { url = "https://files.pythonhosted.org/packages/e8/5f/b98b8da398637b551e427e7be922bdec19177dc54d6811dcdaa503f23aac/charset_normalizer-3.4.9-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9bb41182d93ea91f60b4bc8fbf4c820c69ef8a12ab2d917f3f1834f1acad07e8", size = 223817, upload-time = "2026-07-07T14:32:42.592Z" }, + { url = "https://files.pythonhosted.org/packages/36/31/a276bb2e66243072a3fd06fdcab9cbb61a305b02143d70d2bda21d888fa8/charset_normalizer-3.4.9-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:bcf74c1df76758a395bf0af608c04c82257523f55c9868b334f06270d0f2112b", size = 207974, upload-time = "2026-07-07T14:32:44.258Z" }, + { url = "https://files.pythonhosted.org/packages/5e/be/7ee4453d7e88dfbc4104ccd34900b9f2c7c17dac22881865fe0e82424a25/charset_normalizer-3.4.9-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b5314963fce9b0b12743891de876e724997864ee22aa496f903f426c7e2fa5b2", size = 221655, upload-time = "2026-07-07T14:32:45.64Z" }, + { url = "https://files.pythonhosted.org/packages/1d/85/181c652953eb5276d198f375b1dd641047392050098100a3a02d6534f657/charset_normalizer-3.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e9701d0049d92c16703a42771b98d560b95248949f23f8cf7b4eddd201814fb9", size = 219229, upload-time = "2026-07-07T14:32:47.376Z" }, + { url = "https://files.pythonhosted.org/packages/0c/e7/aaf6da33fc9f4691cda8f7efbc9f69179d3d39ec8a4799baf273ee1d8db0/charset_normalizer-3.4.9-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:65a7ff3f705e57d392f7261b6d0550fe137c3019477431f1c355e0db0a7d3e15", size = 209704, upload-time = "2026-07-07T14:32:48.855Z" }, + { url = "https://files.pythonhosted.org/packages/63/01/f2fb3bd3a73be48b173ee0c6aa8d2497af97d5663a8c4c4b491de4c62f7a/charset_normalizer-3.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79580094b00d1789d1f93ea55bc43cb2f611910c72235b7657f3482ddcc1b22d", size = 226243, upload-time = "2026-07-07T14:32:50.239Z" }, + { url = "https://files.pythonhosted.org/packages/c4/02/c57a22739fe05246b0b5783b3bfb6afaac4eebb46f3ececdfb2f048f780e/charset_normalizer-3.4.9-cp310-cp310-win32.whl", hash = "sha256:432786d3561e69aeeae6c7e8648964ce0ad05736120135601f87ac26b9c83381", size = 150935, upload-time = "2026-07-07T14:32:51.676Z" }, + { url = "https://files.pythonhosted.org/packages/37/8d/ca39a7559a4797505530d084fd3a49a2c959efbbbff146302fb7be4e3b35/charset_normalizer-3.4.9-cp310-cp310-win_amd64.whl", hash = "sha256:8c041122946b7ba21bb32c45b1aa57b1be35527690aeb3c5c234521085632eee", size = 162314, upload-time = "2026-07-07T14:32:53.193Z" }, + { url = "https://files.pythonhosted.org/packages/01/da/a44bd7a13d426e69e4894557106cd58669097bfad4a8681123b618fbfc5d/charset_normalizer-3.4.9-cp310-cp310-win_arm64.whl", hash = "sha256:375b83ed0aecfce76c16d198fbc21f3b11b337d68662bea0a995046682a11419", size = 153075, upload-time = "2026-07-07T14:32:54.554Z" }, + { url = "https://files.pythonhosted.org/packages/0b/e3/85ec501f206fb049259288c1f3506e53876937fb00edb47009348e66756b/charset_normalizer-3.4.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0e94703ec9684807f20cfb5eed95c70f67f2a8f21ad620146d7b5a13677b93e5", size = 317075, upload-time = "2026-07-07T14:32:56.021Z" }, + { url = "https://files.pythonhosted.org/packages/c3/69/2a5385192e67175f7d8bd5ce4f57c24bc956439adeae5c13a99aa28a53d1/charset_normalizer-3.4.9-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2a441ea71902098ffe78c5abe6c494f44160b4af614ed16c3d9a3b1d17fd8ee2", size = 213837, upload-time = "2026-07-07T14:32:57.78Z" }, + { url = "https://files.pythonhosted.org/packages/b3/46/03ddc7da576d814fe0a36dd1f0fd3258e95404b4b2e3c026b7923d7e133f/charset_normalizer-3.4.9-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:304b13570067b2547562e308af560b3963857b1fa90bd6afd978130130fe2d6a", size = 235503, upload-time = "2026-07-07T14:32:59.205Z" }, + { url = "https://files.pythonhosted.org/packages/4e/6e/de0229a7ef40f6f9d28a837eebf4ec47bdca5dab4e900c84f22919af636a/charset_normalizer-3.4.9-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:4773092f8019072343a7447203308b176e10199920eb02d6195e81bbb3274c29", size = 229944, upload-time = "2026-07-07T14:33:00.803Z" }, + { url = "https://files.pythonhosted.org/packages/a5/34/49b9060e8418b14fb5cba9cf6bfb383111e2538a03a1fb18e66a95aeb3d5/charset_normalizer-3.4.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:04ce310cb89c15df659582aee80a0603788732a5e017d5bd5c81158106ce249c", size = 221276, upload-time = "2026-07-07T14:33:02.199Z" }, + { url = "https://files.pythonhosted.org/packages/44/95/80282cce0fae9c3061203d723ee87da996aed79679e65d8935050ee7ca1f/charset_normalizer-3.4.9-cp311-cp311-manylinux_2_31_armv7l.whl", hash = "sha256:c0323c9daef75ef2e5083624b4585018a0c9d5e3b40f607eed81a311270b934b", size = 205260, upload-time = "2026-07-07T14:33:03.698Z" }, + { url = "https://files.pythonhosted.org/packages/0c/74/2f62c8821b969ea3bd67cc2e6976834f48ca5d12664d2559ebcd9bcfbed7/charset_normalizer-3.4.9-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:871ff67ea1aad4dfd91736464934d56b32dac49f9fbe16cddba36198a7b3a0db", size = 217786, upload-time = "2026-07-07T14:33:05.12Z" }, + { url = "https://files.pythonhosted.org/packages/d9/8d/feabb82cb49fcad14515b1d7d1ca4787b0da7fc723a212bf89bc9e0fac52/charset_normalizer-3.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:67830fc78e67501f47bb950471b2dcb9b35b140084429318e862895a8e89c993", size = 216798, upload-time = "2026-07-07T14:33:06.629Z" }, + { url = "https://files.pythonhosted.org/packages/a5/ff/c946d63bc3786d5b84d960b0f7ab7e25b828486a946b5aa997625bcaf6a6/charset_normalizer-3.4.9-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:3d92613ec25e43b05f042302531ec0f00b8445190e43325880cbd6ab7c2581da", size = 206429, upload-time = "2026-07-07T14:33:08.006Z" }, + { url = "https://files.pythonhosted.org/packages/af/ba/5e5007c370702f85d2ef75791fac7943ed41e080364a673b20142e430e3e/charset_normalizer-3.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:280081916dc341820640489a66e4696049401ef1cf6dd672f672e70ad915aca3", size = 223066, upload-time = "2026-07-07T14:33:09.783Z" }, + { url = "https://files.pythonhosted.org/packages/83/d5/9096aa3cf532dfad237861544eb47a0f20d5adbf1039760fed8eaae935d9/charset_normalizer-3.4.9-cp311-cp311-win32.whl", hash = "sha256:ac351b3b8014eead140e77e9717e2992c6bbe30b63bc3422422eb84865412e3d", size = 150456, upload-time = "2026-07-07T14:33:11.217Z" }, + { url = "https://files.pythonhosted.org/packages/ed/a1/e29995109e455dc8eff8d0fac6ae509be39561318a7cfeac5d33ad029213/charset_normalizer-3.4.9-cp311-cp311-win_amd64.whl", hash = "sha256:6366a16e1a25018694d6a5d784d09b046edc9eac40ea2b54065c3052672516a1", size = 161410, upload-time = "2026-07-07T14:33:12.743Z" }, + { url = "https://files.pythonhosted.org/packages/4f/8d/1569f4d0032d6ba2a4fe4591c35bf87868c600c41a71eb5c2e1ffa8464c2/charset_normalizer-3.4.9-cp311-cp311-win_arm64.whl", hash = "sha256:1d22856ffbe153a602df38e4a5464f0b748a54002e0d69ac6d2ad0a197cc99ec", size = 152649, upload-time = "2026-07-07T14:33:14.173Z" }, + { url = "https://files.pythonhosted.org/packages/70/4a/ecbd131485c07fcdfad54e28946d513e3da22ef3b4bd854dcafae54ec739/charset_normalizer-3.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:45b0cc4e3556cd875e09102988d1ab8356c998b596c9fced84547c8138b487a0", size = 319300, upload-time = "2026-07-07T14:33:15.666Z" }, + { url = "https://files.pythonhosted.org/packages/ec/96/5d9364e3342d69f3a045e1777bc47c85c383e6e9466d561b33fdb419d1f9/charset_normalizer-3.4.9-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9b2aff1c7b3884512b9512c3eaadd9bab39fb45042ffaaa1dd08ff2b9f8109d9", size = 215802, upload-time = "2026-07-07T14:33:17.031Z" }, + { url = "https://files.pythonhosted.org/packages/4b/4c/5361f9aa7f2cb58d94f2ab831b3d493f69efb1d239654b4744e3c09527cb/charset_normalizer-3.4.9-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9104ed0bd76a429d46f9ec0dbc9b08ad1d2dcdf2b00a5a0daa1c145329b35b44", size = 237171, upload-time = "2026-07-07T14:33:18.576Z" }, + { url = "https://files.pythonhosted.org/packages/50/78/ce342ca4ff30b2eb49fe6d9578df85974f90c67d294113e94efdd9664cbd/charset_normalizer-3.4.9-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7b86a2b16095d250c6f58b3d9b2eee6f4147754344f3dab0922f7c9bf7d226c9", size = 233075, upload-time = "2026-07-07T14:33:20.084Z" }, + { url = "https://files.pythonhosted.org/packages/01/c4/4fa4c8b3097a11f3c5f09a35b72ed6855fb1d332469504962ab7bafcc702/charset_normalizer-3.4.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e226f6218febc71f6c1fc2fafb91c226f75bdc1d8fb12d66823716e891608fd", size = 224256, upload-time = "2026-07-07T14:33:21.747Z" }, + { url = "https://files.pythonhosted.org/packages/87/3a/ad914516df7e358a81aae018caa5e0470ba827fa6d763b1d2e87d920a5f6/charset_normalizer-3.4.9-cp312-cp312-manylinux_2_31_armv7l.whl", hash = "sha256:90c44bc373b7687f6948b693cceaea1348ae0975d7474746559494468e3c1d84", size = 208784, upload-time = "2026-07-07T14:33:23.313Z" }, + { url = "https://files.pythonhosted.org/packages/d7/74/3c12f9755717dfe5c5c87da63f35d765fa0c00382ec26bf23f7fae34f2ba/charset_normalizer-3.4.9-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:9cdef90ae47919cae358d8ab15797a800ed41da7aba5d72419fb510729e2ed4b", size = 219928, upload-time = "2026-07-07T14:33:24.814Z" }, + { url = "https://files.pythonhosted.org/packages/33/9a/895095b83e7907abd6d3d99aad3a38ad0d9686cc186cb0c94c24320fe63e/charset_normalizer-3.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:60f44ade2cf573dad7a277e6f8ca9a51a21dda572b13bd7d8539bb3cd5dbedde", size = 218489, upload-time = "2026-07-07T14:33:26.42Z" }, + { url = "https://files.pythonhosted.org/packages/a1/34/ef5c05f412f42520d7709b7d3784d19640839eb7366ded1755511585429f/charset_normalizer-3.4.9-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:a1786910334ed46ab1dd73222f2cd1e05c2c3bb39f6dddb4f8b36fc382058a39", size = 210267, upload-time = "2026-07-07T14:33:27.952Z" }, + { url = "https://files.pythonhosted.org/packages/83/dc/9b29fa4412b318bf3bfea985c35d67eb55e04b59a7c3f2237168b0e0be6f/charset_normalizer-3.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:03d07803992c6c7bbc976327f34b18b6160327fc81cb82c9d504720ac0be3b62", size = 226030, upload-time = "2026-07-07T14:33:29.397Z" }, + { url = "https://files.pythonhosted.org/packages/0e/42/6dbc00b8cd16011691203e33570fa42ed5746599a2e878112d16eab403a3/charset_normalizer-3.4.9-cp312-cp312-win32.whl", hash = "sha256:78841cccf1af7b40f6f716338d50c0902dbe88d9f800b3c973b7a9a0a693a642", size = 151185, upload-time = "2026-07-07T14:33:30.781Z" }, + { url = "https://files.pythonhosted.org/packages/80/cc/f920afd1a23c58ccd53c1d36085a71893a4737ff5e66e0371efab6809850/charset_normalizer-3.4.9-cp312-cp312-win_amd64.whl", hash = "sha256:4b3dac63058cc36820b0dd072f89898604e2d39686fe05321729d00d8ac185a0", size = 162557, upload-time = "2026-07-07T14:33:32.176Z" }, + { url = "https://files.pythonhosted.org/packages/f0/e6/0386d43a261ff4e4b30c5857af7df877254b46bec7b9d1b74b6bf969a90b/charset_normalizer-3.4.9-cp312-cp312-win_arm64.whl", hash = "sha256:78fa18e436a1a0e58dbd7e02fc4473f3f32cceb12df9dfca542d075961c307d2", size = 152665, upload-time = "2026-07-07T14:33:33.711Z" }, + { url = "https://files.pythonhosted.org/packages/b2/06/97ec2aeae780b31d742b6352218b43841a6871e2564578ca522dce4a45c3/charset_normalizer-3.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:440eede837960000d74978f0eba527be106b5b9aee0daf779d395276ed0b0614", size = 317688, upload-time = "2026-07-07T14:33:35.408Z" }, + { url = "https://files.pythonhosted.org/packages/d0/39/8ff066c672434225f8d25f8b739f992af250944392173dcc88362681c9bf/charset_normalizer-3.4.9-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:21e764fd1e70b6a3e205a0e46f3051701f98a8cb3fad66eeb80e48bb502f8698", size = 214982, upload-time = "2026-07-07T14:33:36.996Z" }, + { url = "https://files.pythonhosted.org/packages/92/8f/3a47a3667c83c2df9483d91644c6c107de3bf8874aa1793da9d3012eb986/charset_normalizer-3.4.9-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:e4fd89cc178bced6ad29cb3e6dd4aa63fa5017c3524dbd0b25998fb64a87cc8b", size = 236460, upload-time = "2026-07-07T14:33:38.536Z" }, + { url = "https://files.pythonhosted.org/packages/f1/60/b22cdbee7e4013dab8b0d7647fc6181120fbbbc8f7025c226d15bd5a47fc/charset_normalizer-3.4.9-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:bd47ba7fc3ca94896759ea0109775132d3e7ab921fbf54038e1bab2e46c313c9", size = 232003, upload-time = "2026-07-07T14:33:40.059Z" }, + { url = "https://files.pythonhosted.org/packages/ea/f8/72eb13dcabe7257035cea8aefd922caad2f110d252bf9f67c4c2ca763aee/charset_normalizer-3.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:84fd18bcc17526fc2b3c1af7d2b9217d32c9c04448c16ec693b9b4f1985c3d33", size = 223149, upload-time = "2026-07-07T14:33:41.631Z" }, + { url = "https://files.pythonhosted.org/packages/b0/3e/faee8f9de92b14ee1198e9163252bb15efee7301b31256a3b6d9ebfdd0dd/charset_normalizer-3.4.9-cp313-cp313-manylinux_2_31_armv7l.whl", hash = "sha256:5b10cd92fc5c498b35a8635df6d5a100207f88b63a4dc1de7ef9a548e1e2cd63", size = 207901, upload-time = "2026-07-07T14:33:43.209Z" }, + { url = "https://files.pythonhosted.org/packages/3a/25/45f30093ae27dd7b92a793b61882a38685f993700113ca36e0c9c14965e1/charset_normalizer-3.4.9-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:a4fbdde9dd4a9ce5fd52c2b3a347bb50cc89483ef783f1cb00d408c13f7a96c0", size = 219176, upload-time = "2026-07-07T14:33:44.725Z" }, + { url = "https://files.pythonhosted.org/packages/48/18/c8f397329c35e32f6a837e488986f4ae03bd2abebc453b48714991630c2f/charset_normalizer-3.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:416c229f77e5ea25b3dfd4b582f8d73d7e43c22320302b9ab128a2d3a0b38efe", size = 217356, upload-time = "2026-07-07T14:33:46.192Z" }, + { url = "https://files.pythonhosted.org/packages/86/7e/5ce0bba863470fd1902d5e5843968951bddf38abe4742fc97116ef4598b3/charset_normalizer-3.4.9-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:75286256590a6320cf106a0d28970d3560aad9ee09aa7b34fb40524792436d35", size = 209614, upload-time = "2026-07-07T14:33:47.705Z" }, + { url = "https://files.pythonhosted.org/packages/6c/ef/2473d3c4d869155be4af1191111d59c4d5c4e0173026f7e85b176e23bf65/charset_normalizer-3.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:69b157c5d3292bcd443faca052f3096f637f1e074b98212a933c074ae23dc3b8", size = 224991, upload-time = "2026-07-07T14:33:49.238Z" }, + { url = "https://files.pythonhosted.org/packages/d0/a3/53ddae3db108a088156aa8ddfafd411ebbc1340f48c5573f697b27f69a39/charset_normalizer-3.4.9-cp313-cp313-win32.whl", hash = "sha256:51307f5c71007673a2bf8232ad973483d281e74cb99c8c5a990af1eefa6277d9", size = 150622, upload-time = "2026-07-07T14:33:50.711Z" }, + { url = "https://files.pythonhosted.org/packages/e8/ef/6953a77c7cf2c2ff9998e6f575ab3e380119f100223381565a4f94c1f836/charset_normalizer-3.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:fe2c7201c642b7c308f1675355ad7ff7b66acfe3541625efe5a3ad38f29d6115", size = 161947, upload-time = "2026-07-07T14:33:52.197Z" }, + { url = "https://files.pythonhosted.org/packages/6e/fb/d560d1d1555debbfe7849d9cac6145c1b537709d79576bf22557ed803b82/charset_normalizer-3.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:611057cc5d5c0afc743ba8be6bd828c17e0aaa8643f9d0a9b9bb7dea80eb8012", size = 152594, upload-time = "2026-07-07T14:33:53.486Z" }, + { url = "https://files.pythonhosted.org/packages/98/2b/f97f1c193fb855c345d678f5077d6926034db0722df74c8f057020e05a25/charset_normalizer-3.4.9-py3-none-any.whl", hash = "sha256:68e5f26a1ad57ded6d1cfb85331d1c1a195314756471d97758c48498bb4dcdf5", size = 64538, upload-time = "2026-07-07T14:34:56.993Z" }, +] + +[[package]] +name = "colorama" +version = "0.4.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" }, +] + +[[package]] +name = "comm" +version = "0.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload-time = "2025-07-25T14:02:04.452Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" }, +] + +[[package]] +name = "contourpy" +version = "1.3.2" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/12/a3/da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737/contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934", size = 268551, upload-time = "2025-04-15T17:34:46.581Z" }, + { url = "https://files.pythonhosted.org/packages/2f/6c/330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875/contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989", size = 253399, upload-time = "2025-04-15T17:34:51.427Z" }, + { url = "https://files.pythonhosted.org/packages/c1/bd/20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2/contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d", size = 312061, upload-time = "2025-04-15T17:34:55.961Z" }, + { url = "https://files.pythonhosted.org/packages/22/fc/a9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6/contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9", size = 351956, upload-time = "2025-04-15T17:35:00.992Z" }, + { url = "https://files.pythonhosted.org/packages/25/eb/9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e/contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512", size = 320872, upload-time = "2025-04-15T17:35:06.177Z" }, + { url = "https://files.pythonhosted.org/packages/32/5c/1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c/contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631", size = 325027, upload-time = "2025-04-15T17:35:11.244Z" }, + { url = "https://files.pythonhosted.org/packages/83/bf/9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52/contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f", size = 1306641, upload-time = "2025-04-15T17:35:26.701Z" }, + { url = "https://files.pythonhosted.org/packages/d4/cc/74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d/contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2", size = 1374075, upload-time = "2025-04-15T17:35:43.204Z" }, + { url = "https://files.pythonhosted.org/packages/0c/42/17f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8/contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0", size = 177534, upload-time = "2025-04-15T17:35:46.554Z" }, + { url = "https://files.pythonhosted.org/packages/54/ec/5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df/contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a", size = 221188, upload-time = "2025-04-15T17:35:50.064Z" }, + { url = "https://files.pythonhosted.org/packages/b3/b9/ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78/contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445", size = 269636, upload-time = "2025-04-15T17:35:54.473Z" }, + { url = "https://files.pythonhosted.org/packages/e6/75/3469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1/contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773", size = 254636, upload-time = "2025-04-15T17:35:58.283Z" }, + { url = "https://files.pythonhosted.org/packages/8d/2f/95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2/contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1", size = 313053, upload-time = "2025-04-15T17:36:03.235Z" }, + { url = "https://files.pythonhosted.org/packages/c3/a6/8ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9/contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43", size = 352985, upload-time = "2025-04-15T17:36:08.275Z" }, + { url = "https://files.pythonhosted.org/packages/1d/b6/7925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6/contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab", size = 323750, upload-time = "2025-04-15T17:36:13.29Z" }, + { url = "https://files.pythonhosted.org/packages/c2/f3/20c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b/contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7", size = 326246, upload-time = "2025-04-15T17:36:18.329Z" }, + { url = "https://files.pythonhosted.org/packages/8c/e5/9dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5/contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83", size = 1308728, upload-time = "2025-04-15T17:36:33.878Z" }, + { url = "https://files.pythonhosted.org/packages/e2/4a/0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f/contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd", size = 1375762, upload-time = "2025-04-15T17:36:51.295Z" }, + { url = "https://files.pythonhosted.org/packages/09/33/7174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80/contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f", size = 178196, upload-time = "2025-04-15T17:36:55.002Z" }, + { url = "https://files.pythonhosted.org/packages/5e/fe/4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b/contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878", size = 222017, upload-time = "2025-04-15T17:36:58.576Z" }, + { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" }, + { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" }, + { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" }, + { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" }, + { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" }, + { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" }, + { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" }, + { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" }, + { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" }, + { url = "https://files.pythonhosted.org/packages/2e/61/5673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2/contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb", size = 271630, upload-time = "2025-04-15T17:38:19.142Z" }, + { url = "https://files.pythonhosted.org/packages/ff/66/a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39/contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08", size = 255670, upload-time = "2025-04-15T17:38:23.688Z" }, + { url = "https://files.pythonhosted.org/packages/1e/c7/cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8/contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c", size = 306694, upload-time = "2025-04-15T17:38:28.238Z" }, + { url = "https://files.pythonhosted.org/packages/dd/e7/ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0/contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f", size = 345986, upload-time = "2025-04-15T17:38:33.502Z" }, + { url = "https://files.pythonhosted.org/packages/dc/49/ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78/contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85", size = 318060, upload-time = "2025-04-15T17:38:38.672Z" }, + { url = "https://files.pythonhosted.org/packages/c8/65/5245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661/contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841", size = 322747, upload-time = "2025-04-15T17:38:43.712Z" }, + { url = "https://files.pythonhosted.org/packages/72/30/669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9/contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422", size = 1308895, upload-time = "2025-04-15T17:39:00.224Z" }, + { url = "https://files.pythonhosted.org/packages/05/5a/b569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3/contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef", size = 1379098, upload-time = "2025-04-15T17:43:29.649Z" }, + { url = "https://files.pythonhosted.org/packages/19/ba/b227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1/contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f", size = 178535, upload-time = "2025-04-15T17:44:44.532Z" }, + { url = "https://files.pythonhosted.org/packages/12/6e/2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262/contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9", size = 223096, upload-time = "2025-04-15T17:44:48.194Z" }, + { url = "https://files.pythonhosted.org/packages/54/4c/e76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4/contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f", size = 285090, upload-time = "2025-04-15T17:43:34.084Z" }, + { url = "https://files.pythonhosted.org/packages/7b/e2/5aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8/contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739", size = 268643, upload-time = "2025-04-15T17:43:38.626Z" }, + { url = "https://files.pythonhosted.org/packages/a1/37/cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823", size = 310443, upload-time = "2025-04-15T17:43:44.522Z" }, + { url = "https://files.pythonhosted.org/packages/8b/a2/36ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5", size = 349865, upload-time = "2025-04-15T17:43:49.545Z" }, + { url = "https://files.pythonhosted.org/packages/95/b7/2fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532", size = 321162, upload-time = "2025-04-15T17:43:54.203Z" }, + { url = "https://files.pythonhosted.org/packages/f4/10/76d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b", size = 327355, upload-time = "2025-04-15T17:44:01.025Z" }, + { url = "https://files.pythonhosted.org/packages/43/a3/10cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52", size = 1307935, upload-time = "2025-04-15T17:44:17.322Z" }, + { url = "https://files.pythonhosted.org/packages/78/73/69dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd", size = 1372168, upload-time = "2025-04-15T17:44:33.43Z" }, + { url = "https://files.pythonhosted.org/packages/0f/1b/96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21/contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1", size = 189550, upload-time = "2025-04-15T17:44:37.092Z" }, + { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214, upload-time = "2025-04-15T17:44:40.827Z" }, + { url = "https://files.pythonhosted.org/packages/33/05/b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033/contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c", size = 265681, upload-time = "2025-04-15T17:44:59.314Z" }, + { url = "https://files.pythonhosted.org/packages/2b/25/ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03/contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16", size = 315101, upload-time = "2025-04-15T17:45:04.165Z" }, + { url = "https://files.pythonhosted.org/packages/8f/4d/5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030/contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad", size = 220599, upload-time = "2025-04-15T17:45:08.456Z" }, + { url = "https://files.pythonhosted.org/packages/ff/c0/91f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848/contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0", size = 266807, upload-time = "2025-04-15T17:45:15.535Z" }, + { url = "https://files.pythonhosted.org/packages/d4/79/6be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71/contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5", size = 318729, upload-time = "2025-04-15T17:45:20.166Z" }, + { url = "https://files.pythonhosted.org/packages/87/68/7f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1/contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5", size = 221791, upload-time = "2025-04-15T17:45:24.794Z" }, +] + +[[package]] +name = "contourpy" +version = "1.3.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +dependencies = [ + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/91/2e/c4390a31919d8a78b90e8ecf87cd4b4c4f05a5b48d05ec17db8e5404c6f4/contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1", size = 288773, upload-time = "2025-07-26T12:01:02.277Z" }, + { url = "https://files.pythonhosted.org/packages/0d/44/c4b0b6095fef4dc9c420e041799591e3b63e9619e3044f7f4f6c21c0ab24/contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381", size = 270149, upload-time = "2025-07-26T12:01:04.072Z" }, + { url = "https://files.pythonhosted.org/packages/30/2e/dd4ced42fefac8470661d7cb7e264808425e6c5d56d175291e93890cce09/contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7", size = 329222, upload-time = "2025-07-26T12:01:05.688Z" }, + { url = "https://files.pythonhosted.org/packages/f2/74/cc6ec2548e3d276c71389ea4802a774b7aa3558223b7bade3f25787fafc2/contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1", size = 377234, upload-time = "2025-07-26T12:01:07.054Z" }, + { url = "https://files.pythonhosted.org/packages/03/b3/64ef723029f917410f75c09da54254c5f9ea90ef89b143ccadb09df14c15/contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a", size = 380555, upload-time = "2025-07-26T12:01:08.801Z" }, + { url = "https://files.pythonhosted.org/packages/5f/4b/6157f24ca425b89fe2eb7e7be642375711ab671135be21e6faa100f7448c/contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db", size = 355238, upload-time = "2025-07-26T12:01:10.319Z" }, + { url = "https://files.pythonhosted.org/packages/98/56/f914f0dd678480708a04cfd2206e7c382533249bc5001eb9f58aa693e200/contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620", size = 1326218, upload-time = "2025-07-26T12:01:12.659Z" }, + { url = "https://files.pythonhosted.org/packages/fb/d7/4a972334a0c971acd5172389671113ae82aa7527073980c38d5868ff1161/contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f", size = 1392867, upload-time = "2025-07-26T12:01:15.533Z" }, + { url = "https://files.pythonhosted.org/packages/75/3e/f2cc6cd56dc8cff46b1a56232eabc6feea52720083ea71ab15523daab796/contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff", size = 183677, upload-time = "2025-07-26T12:01:17.088Z" }, + { url = "https://files.pythonhosted.org/packages/98/4b/9bd370b004b5c9d8045c6c33cf65bae018b27aca550a3f657cdc99acdbd8/contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42", size = 225234, upload-time = "2025-07-26T12:01:18.256Z" }, + { url = "https://files.pythonhosted.org/packages/d9/b6/71771e02c2e004450c12b1120a5f488cad2e4d5b590b1af8bad060360fe4/contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470", size = 193123, upload-time = "2025-07-26T12:01:19.848Z" }, + { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload-time = "2025-07-26T12:01:21.16Z" }, + { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload-time = "2025-07-26T12:01:22.448Z" }, + { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload-time = "2025-07-26T12:01:24.155Z" }, + { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload-time = "2025-07-26T12:01:25.91Z" }, + { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload-time = "2025-07-26T12:01:27.152Z" }, + { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload-time = "2025-07-26T12:01:28.808Z" }, + { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload-time = "2025-07-26T12:01:31.198Z" }, + { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload-time = "2025-07-26T12:01:33.947Z" }, + { url = "https://files.pythonhosted.org/packages/cf/8f/5847f44a7fddf859704217a99a23a4f6417b10e5ab1256a179264561540e/contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69", size = 185018, upload-time = "2025-07-26T12:01:35.64Z" }, + { url = "https://files.pythonhosted.org/packages/19/e8/6026ed58a64563186a9ee3f29f41261fd1828f527dd93d33b60feca63352/contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b", size = 226567, upload-time = "2025-07-26T12:01:36.804Z" }, + { url = "https://files.pythonhosted.org/packages/d1/e2/f05240d2c39a1ed228d8328a78b6f44cd695f7ef47beb3e684cf93604f86/contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc", size = 193655, upload-time = "2025-07-26T12:01:37.999Z" }, + { url = "https://files.pythonhosted.org/packages/68/35/0167aad910bbdb9599272bd96d01a9ec6852f36b9455cf2ca67bd4cc2d23/contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5", size = 293257, upload-time = "2025-07-26T12:01:39.367Z" }, + { url = "https://files.pythonhosted.org/packages/96/e4/7adcd9c8362745b2210728f209bfbcf7d91ba868a2c5f40d8b58f54c509b/contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1", size = 274034, upload-time = "2025-07-26T12:01:40.645Z" }, + { url = "https://files.pythonhosted.org/packages/73/23/90e31ceeed1de63058a02cb04b12f2de4b40e3bef5e082a7c18d9c8ae281/contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286", size = 334672, upload-time = "2025-07-26T12:01:41.942Z" }, + { url = "https://files.pythonhosted.org/packages/ed/93/b43d8acbe67392e659e1d984700e79eb67e2acb2bd7f62012b583a7f1b55/contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5", size = 381234, upload-time = "2025-07-26T12:01:43.499Z" }, + { url = "https://files.pythonhosted.org/packages/46/3b/bec82a3ea06f66711520f75a40c8fc0b113b2a75edb36aa633eb11c4f50f/contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67", size = 385169, upload-time = "2025-07-26T12:01:45.219Z" }, + { url = "https://files.pythonhosted.org/packages/4b/32/e0f13a1c5b0f8572d0ec6ae2f6c677b7991fafd95da523159c19eff0696a/contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9", size = 362859, upload-time = "2025-07-26T12:01:46.519Z" }, + { url = "https://files.pythonhosted.org/packages/33/71/e2a7945b7de4e58af42d708a219f3b2f4cff7386e6b6ab0a0fa0033c49a9/contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659", size = 1332062, upload-time = "2025-07-26T12:01:48.964Z" }, + { url = "https://files.pythonhosted.org/packages/12/fc/4e87ac754220ccc0e807284f88e943d6d43b43843614f0a8afa469801db0/contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7", size = 1403932, upload-time = "2025-07-26T12:01:51.979Z" }, + { url = "https://files.pythonhosted.org/packages/a6/2e/adc197a37443f934594112222ac1aa7dc9a98faf9c3842884df9a9d8751d/contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d", size = 185024, upload-time = "2025-07-26T12:01:53.245Z" }, + { url = "https://files.pythonhosted.org/packages/18/0b/0098c214843213759692cc638fce7de5c289200a830e5035d1791d7a2338/contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263", size = 226578, upload-time = "2025-07-26T12:01:54.422Z" }, + { url = "https://files.pythonhosted.org/packages/8a/9a/2f6024a0c5995243cd63afdeb3651c984f0d2bc727fd98066d40e141ad73/contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9", size = 193524, upload-time = "2025-07-26T12:01:55.73Z" }, + { url = "https://files.pythonhosted.org/packages/c0/b3/f8a1a86bd3298513f500e5b1f5fd92b69896449f6cab6a146a5d52715479/contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d", size = 306730, upload-time = "2025-07-26T12:01:57.051Z" }, + { url = "https://files.pythonhosted.org/packages/3f/11/4780db94ae62fc0c2053909b65dc3246bd7cecfc4f8a20d957ad43aa4ad8/contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216", size = 287897, upload-time = "2025-07-26T12:01:58.663Z" }, + { url = "https://files.pythonhosted.org/packages/ae/15/e59f5f3ffdd6f3d4daa3e47114c53daabcb18574a26c21f03dc9e4e42ff0/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae", size = 326751, upload-time = "2025-07-26T12:02:00.343Z" }, + { url = "https://files.pythonhosted.org/packages/0f/81/03b45cfad088e4770b1dcf72ea78d3802d04200009fb364d18a493857210/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20", size = 375486, upload-time = "2025-07-26T12:02:02.128Z" }, + { url = "https://files.pythonhosted.org/packages/0c/ba/49923366492ffbdd4486e970d421b289a670ae8cf539c1ea9a09822b371a/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99", size = 388106, upload-time = "2025-07-26T12:02:03.615Z" }, + { url = "https://files.pythonhosted.org/packages/9f/52/5b00ea89525f8f143651f9f03a0df371d3cbd2fccd21ca9b768c7a6500c2/contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b", size = 352548, upload-time = "2025-07-26T12:02:05.165Z" }, + { url = "https://files.pythonhosted.org/packages/32/1d/a209ec1a3a3452d490f6b14dd92e72280c99ae3d1e73da74f8277d4ee08f/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a", size = 1322297, upload-time = "2025-07-26T12:02:07.379Z" }, + { url = "https://files.pythonhosted.org/packages/bc/9e/46f0e8ebdd884ca0e8877e46a3f4e633f6c9c8c4f3f6e72be3fe075994aa/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e", size = 1391023, upload-time = "2025-07-26T12:02:10.171Z" }, + { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" }, + { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" }, + { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" }, + { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" }, + { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" }, + { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" }, + { url = "https://files.pythonhosted.org/packages/3c/37/21972a15834d90bfbfb009b9d004779bd5a07a0ec0234e5ba8f64d5736f4/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989", size = 329207, upload-time = "2025-07-26T12:02:57.468Z" }, + { url = "https://files.pythonhosted.org/packages/0c/58/bd257695f39d05594ca4ad60df5bcb7e32247f9951fd09a9b8edb82d1daa/contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77", size = 225315, upload-time = "2025-07-26T12:02:58.801Z" }, +] + +[[package]] +name = "cycler" +version = "0.12.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" }, +] + +[[package]] +name = "debugpy" +version = "1.8.21" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f2/aa/12037145b7a56eaa5b29b41872f7a21b538e807e13f32c4d3c46e59be084/debugpy-1.8.21.tar.gz", hash = "sha256:a3c53278e84c94e11bd87c53970ec391d1a67396c8b22609fcac576520e611a6", size = 1697577, upload-time = "2026-06-01T19:30:35.156Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fc/f3/6b1d4c71f4cbb5360009f928934a03b42906f28fc7b3f7f35f04e58acead/debugpy-1.8.21-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:8eeab7b5462f683452c57c0126aaa5ec4e974ddb705f39ba87dff8818c8e08f9", size = 2113873, upload-time = "2026-06-01T19:30:37.148Z" }, + { url = "https://files.pythonhosted.org/packages/1c/f2/17c3bf91cebc173bfbf5734cd2669723d0a35c0cf9d2fd2124546efeae83/debugpy-1.8.21-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:0fddfdc130ac6d8bfc0415b0409822fa901c8f310e5c945ac5653a0352532344", size = 3004715, upload-time = "2026-06-01T19:30:38.888Z" }, + { url = "https://files.pythonhosted.org/packages/5a/22/1f8efd80c7b5909e760f9cfd0c9e8681d2d35d532f7c0a40760cd4da4a19/debugpy-1.8.21-cp310-cp310-win32.whl", hash = "sha256:72b5d676c4cbfac3bac5bb01c138a4656e843f93f03ce2a5f4e394ad49fbee73", size = 5303455, upload-time = "2026-06-01T19:30:40.52Z" }, + { url = "https://files.pythonhosted.org/packages/da/ce/54c79abd6cccef92fa7b43d97e3acafedf4d645557267ece05e948b5e4b8/debugpy-1.8.21-cp310-cp310-win_amd64.whl", hash = "sha256:a7fe47fd23da57b9e0bec3f4a8ee65a2dc55782455ed7f2141d75ab5d2eaeef5", size = 5331751, upload-time = "2026-06-01T19:30:42.146Z" }, + { url = "https://files.pythonhosted.org/packages/89/fb/cbf306d6e07a313a91e7171a98669054502840931432c227cfd505ee367f/debugpy-1.8.21-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:da456226c7b4c69e35dbe35dcee6623d912000a77816db7856a41af1c72a0264", size = 2203120, upload-time = "2026-06-01T19:30:43.964Z" }, + { url = "https://files.pythonhosted.org/packages/aa/57/aa739bd4ad2cbf96aeb1b20b56918ddd5ae4c28b68709bfcd327f02123ee/debugpy-1.8.21-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:f68b891688e61bdc08b8d364d919ff0051e0b94657b39dcd027bc3173edb7cdc", size = 3059958, upload-time = "2026-06-01T19:30:45.622Z" }, + { url = "https://files.pythonhosted.org/packages/a8/31/453d2c9a23d133fe2c8ec7ca1d816ded52a913487fe3ffef7c01b4b706af/debugpy-1.8.21-cp311-cp311-win32.whl", hash = "sha256:f843a8b08c2edeaf9b1582eed4f25441af21a297c22ff16bf76a662557aa9c9e", size = 5236515, upload-time = "2026-06-01T19:30:47.461Z" }, + { url = "https://files.pythonhosted.org/packages/60/94/6660de2f2d7bf388f229335ba4637646eebabdbf38564cb439a95a9193c9/debugpy-1.8.21-cp311-cp311-win_amd64.whl", hash = "sha256:84c564d8cc701d41843b29a92814c1f1bef6798724ca9d675c284ad9f6a547d7", size = 5256138, upload-time = "2026-06-01T19:30:49.113Z" }, + { url = "https://files.pythonhosted.org/packages/a2/df/bf625547431a9cadc9f4cbfeda38866e2b17f6aed147b625377e87834449/debugpy-1.8.21-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:9f96713896f39c3dff0ee841f47320c3f2983d33c341e009361bb0ebc79adc4e", size = 2483609, upload-time = "2026-06-01T19:30:50.794Z" }, + { url = "https://files.pythonhosted.org/packages/bf/09/59324b903599031ff9faaec1758292409f6561a0ec2492fe4b703327705a/debugpy-1.8.21-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:c193d474f0a211191f2b4449d2d06157c689013035bd952f3b617e0ef422b176", size = 3968900, upload-time = "2026-06-01T19:30:52.341Z" }, + { url = "https://files.pythonhosted.org/packages/14/cd/27f65b805d7fe005c44e1a36b9183ecdfbcdbf9d3e721a5115d461ecc7ee/debugpy-1.8.21-cp312-cp312-win32.whl", hash = "sha256:4743373c1cac7f9e74a1b9915bf1dbe0e900eca657ffb170ae07ac8363205ae9", size = 5336340, upload-time = "2026-06-01T19:30:54.047Z" }, + { url = "https://files.pythonhosted.org/packages/77/1d/c84e30c0c674184948b66f076ab271c01d940618a2824c23cd035a27bc20/debugpy-1.8.21-cp312-cp312-win_amd64.whl", hash = "sha256:bd7ba9dd3daa7c2f942c6ca8d4695a16bf9ac16b63615261c7982bc74f7ed20c", size = 5374751, upload-time = "2026-06-01T19:30:55.891Z" }, + { url = "https://files.pythonhosted.org/packages/77/6b/d817e1f8cc77aa055d37fba092e0febfdff40fe652d8d53d4cd7a86ad98d/debugpy-1.8.21-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:13678151fc401e2d68c9880b91e28714f797d40422994572b24560ef80910a88", size = 2477398, upload-time = "2026-06-01T19:30:57.644Z" }, + { url = "https://files.pythonhosted.org/packages/48/57/412421516afc3055fa577516f00beec3d663f9b0ab330639547ae6c57720/debugpy-1.8.21-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:ecbd158386c31ffe71d46f72d44d56e66331ab9b16cad649156d514368f23ab2", size = 3962096, upload-time = "2026-06-01T19:30:59.235Z" }, + { url = "https://files.pythonhosted.org/packages/c1/62/2c616337cf6ba7b07ebbc97f02c6c945a8e2f76b365e33ee809c32ee36d1/debugpy-1.8.21-cp313-cp313-win32.whl", hash = "sha256:2c2ae706dec41d99a9ca1f7ebc987a83e65578363be6f6b3ac9067504917fae1", size = 5336288, upload-time = "2026-06-01T19:31:00.79Z" }, + { url = "https://files.pythonhosted.org/packages/f8/99/9175103392f84c4b1bf7622888cdc68da07f0ff7d9e581266428f6776033/debugpy-1.8.21-cp313-cp313-win_amd64.whl", hash = "sha256:aa648733047443eb1d07682c4ef287d36a54507b643ffdf38b09a3ef002c72a0", size = 5376567, upload-time = "2026-06-01T19:31:02.56Z" }, + { url = "https://files.pythonhosted.org/packages/95/51/67e7cf11a53e40694f720457d5b3a1cdaaa3d5a9a633e482f225456b93ff/debugpy-1.8.21-py2.py3-none-any.whl", hash = "sha256:b1e37d333663c8851516a47364ef473da127f9caebe4417e6df6f5825a7e9a92", size = 5352888, upload-time = "2026-06-01T19:31:25.186Z" }, +] + +[[package]] +name = "decorator" +version = "5.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/60/8b/32f9823da46cde7df2087faa08cd98d01b908f8dcab982cdba9c84e85355/decorator-5.3.1.tar.gz", hash = "sha256:4cbcdd55a6efadb9dbea26b858f4fb3264567b52d69ca0d25b721b553f60ea82", size = 58084, upload-time = "2026-05-18T06:03:28.057Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/05/7f/798705f5296a58ca505d600456748d1be48078eac8a7050d8a98bc9edb89/decorator-5.3.1-py3-none-any.whl", hash = "sha256:f47fe6fdbd2edd623ecfe36875d37aba411624e2670dd395dddae1358689bb3c", size = 10365, upload-time = "2026-05-18T06:03:26.517Z" }, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" }, +] + +[[package]] +name = "exceptiongroup" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" }, +] + +[[package]] +name = "executing" +version = "2.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload-time = "2025-09-01T09:48:10.866Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" }, +] + +[[package]] +name = "fastjsonschema" +version = "2.21.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" }, +] + +[[package]] +name = "fonttools" +version = "4.63.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/84/69/c97f2c18e0db87d2c7b15da1974dace76ae938f1cfa22e2727a648b7ed43/fonttools-4.63.0.tar.gz", hash = "sha256:caeb583deeb5168e694b65cda8b4ee62abedfa66cf88488734466f2366b9c4e0", size = 3597189, upload-time = "2026-05-14T12:04:30.958Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f2/c9/4141c90a90db20f807c7e10bfd689fe53eb8f7f4caff58ee4d4dfe46919f/fonttools-4.63.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e3297a6a4059b4acc3a1e9a8b04741f240a80044eef08ebd32e8b5bcdddce75b", size = 2884632, upload-time = "2026-05-14T12:02:38.56Z" }, + { url = "https://files.pythonhosted.org/packages/b8/46/ad12b5c10eae602d7ef814b02afa08aacbf89da917fed5b071282b7eadc2/fonttools-4.63.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b1cd75a03ad8cb5bc40c90bfde68c0c47de423aa19e5c0f362b43520645eea94", size = 2429441, upload-time = "2026-05-14T12:02:41.162Z" }, + { url = "https://files.pythonhosted.org/packages/90/8f/bdca24a84c81d56fffed052229cdcff368f6e05882e526f4558891481f65/fonttools-4.63.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0425b277a59cff3d80ca42162a8de360f318438a2ac83570842a678d826d579", size = 4946346, upload-time = "2026-05-14T12:02:43.41Z" }, + { url = "https://files.pythonhosted.org/packages/04/59/a639c0e136441ee91a65b56fdf89e5d075927e7a09c559d1b0f5276577db/fonttools-4.63.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d7e5c9973aa04c95650c96e5f5ad865fbf42d62079163ecfab1e01cbc2504c22", size = 4903184, upload-time = "2026-05-14T12:02:45.742Z" }, + { url = "https://files.pythonhosted.org/packages/e6/53/91b7e0cb45b536f3da1b29ba8cbab89f27e8b986809e0b1982303a3f4eca/fonttools-4.63.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cb014d58140a38135f16064c74c652ed57aa0b75cbf8bb59cac821f7edb5334e", size = 4922967, upload-time = "2026-05-14T12:02:48.386Z" }, + { url = "https://files.pythonhosted.org/packages/c7/b7/87439bf44e6b97c5538cd29d0b7e366a5b8ce2cc132a4134fb67fa3f2fa2/fonttools-4.63.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:032038247a96c1690f9f31e377c389383c902531b085aa4e4dabd6f57f870e69", size = 5042799, upload-time = "2026-05-14T12:02:50.424Z" }, + { url = "https://files.pythonhosted.org/packages/ad/7c/8b96c3263b89ef99cded544c0f0636686f85dbd3c211c4dceef0231fca23/fonttools-4.63.0-cp310-cp310-win32.whl", hash = "sha256:a8b33a82979e0a6a34ff435cc81317be1f95ec1ebb7a3a2d1c8a6a54f02ae44e", size = 1519704, upload-time = "2026-05-14T12:02:52.523Z" }, + { url = "https://files.pythonhosted.org/packages/e5/4d/2c2f0069970b6907de8fb5b05c5c0193cc22f717df151d1c7aef1c738f58/fonttools-4.63.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c18358a155d75034911c5ee397a5b44cd19dd325dbb8b35fb60bf421d6a72ac", size = 1568666, upload-time = "2026-05-14T12:02:54.917Z" }, + { url = "https://files.pythonhosted.org/packages/75/2b/a7f1545bdf5da69c4bda0cea2a5781f0ad2a6623e0277267672db43c5fe6/fonttools-4.63.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2b8ae05d9eacf6081414d759c0a352769ac28ce31280d6bb8e77b03f9e3c449f", size = 2881793, upload-time = "2026-05-14T12:02:56.645Z" }, + { url = "https://files.pythonhosted.org/packages/49/50/965308c703f085f225db2886813b27e015b8b3438c350b22dd65b52c2a2c/fonttools-4.63.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79cdc9f567aec74a72918fd060283911406750cbc9fd28c1316023deb6ce31a9", size = 2428130, upload-time = "2026-05-14T12:02:58.891Z" }, + { url = "https://files.pythonhosted.org/packages/d8/38/6937fbd7f2dc3a6b48725851bc2c15ec949b9af14d9bbcb5fe83cdf9bdf9/fonttools-4.63.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2c14b4fd138c4bafcca294765c547914e1aa431ae1ca94ab99d8db08c958bd3b", size = 5111952, upload-time = "2026-05-14T12:03:01.263Z" }, + { url = "https://files.pythonhosted.org/packages/0b/43/a81f20050a3115b57d62c8e781446949512eac36690dc384ccea65ff4cc1/fonttools-4.63.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d76ac49f929aecaf82d83250b8347e099d7aecba0f4726c1d9b6df3b8bb5fe18", size = 5082308, upload-time = "2026-05-14T12:03:03.211Z" }, + { url = "https://files.pythonhosted.org/packages/67/00/cdd9d4944ca6ae280d01e69cc37bde3bf663630b837a6fc6d2cd65d80e0e/fonttools-4.63.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dcf076a4474fe0d7367e5bbf5b052c7284fa1feca729c04176ce513521afd8a0", size = 5087932, upload-time = "2026-05-14T12:03:05.147Z" }, + { url = "https://files.pythonhosted.org/packages/f5/f1/0aa0dbea778c75adbef223c42019fd47d22262b905974d62d829545d485f/fonttools-4.63.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7dd683fef0663e9f0f45cf541d788d24caa3ec9db50796b588e1757d8b3bc007", size = 5213271, upload-time = "2026-05-14T12:03:07.238Z" }, + { url = "https://files.pythonhosted.org/packages/a8/99/253e4056e1f0e67b9390125a154b73b5eb73ad521bece95c004858fdeec2/fonttools-4.63.0-cp311-cp311-win32.whl", hash = "sha256:afefc1ed0a59785a7fb06ea7e1678e849c193e1e387db783579bc7b3056fcfcb", size = 2304473, upload-time = "2026-05-14T12:03:09.271Z" }, + { url = "https://files.pythonhosted.org/packages/08/60/defa5e69641db890a63be281f41345f4c33b157824eaf0b9fad3e08b0dcb/fonttools-4.63.0-cp311-cp311-win_amd64.whl", hash = "sha256:063e08bd17bd5a90127a14123de0d6a952dbc847695fd98b63c043d58057f90c", size = 2356389, upload-time = "2026-05-14T12:03:11.53Z" }, + { url = "https://files.pythonhosted.org/packages/08/ef/b3c6b9b5be2f82416d73fe2ed2e96e2793cd80e7510bd6a17ca79cdd88ec/fonttools-4.63.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:37dd23e621e3b0aef1baa70a303b80aaf38449632cfc8fd2a55fb285bbccfc02", size = 2881131, upload-time = "2026-05-14T12:03:13.386Z" }, + { url = "https://files.pythonhosted.org/packages/44/a0/c815bea63117fa63e4e1c01f8a1110d2112fa003f838e6467094ec2432ce/fonttools-4.63.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a9faff9e0c1f76f9fd55899d2ce785832efebab37eb8ae13995853aef178bef0", size = 2426704, upload-time = "2026-05-14T12:03:15.801Z" }, + { url = "https://files.pythonhosted.org/packages/44/04/0b91d8e916e92ad1fac9e4624760baf0fd5ff2ead614c2f68fb21373f03f/fonttools-4.63.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef3048ef05dbb552b89817713d9cac912e00d0fde4a3105c00d29e52e10c89af", size = 5044298, upload-time = "2026-05-14T12:03:18.085Z" }, + { url = "https://files.pythonhosted.org/packages/77/c7/2342da9830e3e9d4870305ca5d2091d2a83284f2953079b7bdd3b5e029d8/fonttools-4.63.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:58dc6bb86a78d782f00f9190ca02c119cf5bbe2807536e361e18d42019f877d8", size = 4999800, upload-time = "2026-05-14T12:03:20.161Z" }, + { url = "https://files.pythonhosted.org/packages/e6/6d/67fe16c48d7ce050979b33f47e0d28a318f02da030602e944c34f7a16ef3/fonttools-4.63.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ee08ebfa58f6e1aeff5697ab9582105bb620008c1caafb681e4c557e7483027b", size = 4982666, upload-time = "2026-05-14T12:03:22.87Z" }, + { url = "https://files.pythonhosted.org/packages/f2/00/3bbab338c07c71fa56269953845e92c951a61457bbbb0f1022551ea266d9/fonttools-4.63.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:27fdc65af8da6f88b9c6121c47a464cbe359fcfff7ff6fc2d37a1f395d755b78", size = 5133598, upload-time = "2026-05-14T12:03:25.168Z" }, + { url = "https://files.pythonhosted.org/packages/62/f2/aa27c7f98db5b064883dadcc5283947e81e034de42e22a33675878d98b54/fonttools-4.63.0-cp312-cp312-win32.whl", hash = "sha256:af2fd1664d00a397d75f806985ddb36282091c2131a73a6485c23b4a34722263", size = 2292575, upload-time = "2026-05-14T12:03:27.496Z" }, + { url = "https://files.pythonhosted.org/packages/87/36/cccb9bc2a6ab63d1b2980374f0dca72ce95ae267c9b4cfe77455bb70d0d4/fonttools-4.63.0-cp312-cp312-win_amd64.whl", hash = "sha256:59ac449f8cca9b4ffa08d2e7bbadad87ce710d69d1eda5c3c1ce579baa987272", size = 2343211, upload-time = "2026-05-14T12:03:30.057Z" }, + { url = "https://files.pythonhosted.org/packages/0f/8d/d8fec3dcde2963f8c908fb315e5ff2cd0ac34f82394bbbf73a2aa5145ce3/fonttools-4.63.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:cd7e9857e5e63738b9d9fd707bc1f59c8b09e5177726d23664db393c59bb08bd", size = 2876062, upload-time = "2026-05-14T12:03:32.554Z" }, + { url = "https://files.pythonhosted.org/packages/ef/71/d935dc54e4ff121bfdd11e08702db63a7e6f25af21d8a3d7b7212df53641/fonttools-4.63.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c2a2a42198b696a6f48fad91709afb55176e66a5e566131219dba372fb7f8c59", size = 2424594, upload-time = "2026-05-14T12:03:34.86Z" }, + { url = "https://files.pythonhosted.org/packages/8e/40/e76320afa1df918e146155ef239b1719ee266092e96f5423bfd075affba1/fonttools-4.63.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e874792a8212b44583ea02189d9e693906b2f78b261f372f95d6c563210ac1d", size = 5024840, upload-time = "2026-05-14T12:03:36.745Z" }, + { url = "https://files.pythonhosted.org/packages/ce/36/0b805d8c485f872f65a509cbe3b58a5d0d17bee855333b54a150c79d3061/fonttools-4.63.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:22135da48a348785c5e2d5d2d9d6bec5ed44adacbaeb9db12d9493bf6c6bfa68", size = 4975801, upload-time = "2026-05-14T12:03:38.833Z" }, + { url = "https://files.pythonhosted.org/packages/c8/26/2cee03d0aa083ab022da5c07aff9ed3f689da1defb81ad6917c9627896da/fonttools-4.63.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ccf41f2efdf56994d22d73bef4ced1052161958169428d06ba9724ea9e9a64be", size = 4965009, upload-time = "2026-05-14T12:03:41.494Z" }, + { url = "https://files.pythonhosted.org/packages/7e/48/cc4b66d9058c0d0982c833fad10127c4b0e9324606aafa41382295ca4102/fonttools-4.63.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9ced0bd02ac751dd6319b0da88aaef24414e3b0dbc32bb4f24944821a3741a27", size = 5105892, upload-time = "2026-05-14T12:03:43.525Z" }, + { url = "https://files.pythonhosted.org/packages/d8/1f/a98a30a814b9ddef3a2e706025f90b9e0bc94890e6cb15254bc86547d11a/fonttools-4.63.0-cp313-cp313-win32.whl", hash = "sha256:85be818f5506e8a7753153def2c9550178f0ecae6a47b5e0e8dbb23f7cc90380", size = 2291313, upload-time = "2026-05-14T12:03:45.594Z" }, + { url = "https://files.pythonhosted.org/packages/92/46/5177b01f3b4abfdd4409f31cca4ab279c9343a26efbe9ec78c97fc612e02/fonttools-4.63.0-cp313-cp313-win_amd64.whl", hash = "sha256:ba04cb5891d4c0c21b6da95eda8d7b090021508a294fff33464fc7d241e0856b", size = 2342299, upload-time = "2026-05-14T12:03:47.414Z" }, + { url = "https://files.pythonhosted.org/packages/2c/47/c99d5268f354002ce80f8d029cd9d7d872969da1de8b93d32de4dc56d6f4/fonttools-4.63.0-py3-none-any.whl", hash = "sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d", size = 1164562, upload-time = "2026-05-14T12:04:29.092Z" }, +] + +[[package]] +name = "fqdn" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" }, +] + +[[package]] +name = "h11" +version = "0.16.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" }, +] + +[[package]] +name = "httpcore" +version = "1.0.9" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "h11" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" }, +] + +[[package]] +name = "httpx" +version = "0.28.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "certifi" }, + { name = "httpcore" }, + { name = "idna" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" }, +] + +[[package]] +name = "idna" +version = "3.18" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cd/63/9496c57188a2ee585e0f1db071d75089a11e98aa86eb99d9d7618fc1edce/idna-3.18.tar.gz", hash = "sha256:ffb385a7e039654cef1ab9ef32c6fafe283c0c0467bba1d9029738ce4a14a848", size = 196711, upload-time = "2026-06-02T14:34:07.794Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/5e/d4e9f1a599fb8e573b7b87160658329fbf28d19eac2718f51fc3def3aa5a/idna-3.18-py3-none-any.whl", hash = "sha256:7f952cbe720b688055e3f87de14f5c3e5fdaa8bc3928985c4077ca689de849a2", size = 65455, upload-time = "2026-06-02T14:34:06.319Z" }, +] + +[[package]] +name = "ipykernel" +version = "7.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "appnope", marker = "sys_platform == 'darwin'" }, + { name = "comm" }, + { name = "debugpy" }, + { name = "ipython", version = "8.39.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.15.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "matplotlib-inline" }, + { name = "nest-asyncio2" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3d/c4/e4a38f579de4225a561305666f7541cdabb30075def2aa1ac17bd73c1fb5/ipykernel-7.3.0.tar.gz", hash = "sha256:9acaaaf97d16355166e4085afe9d225bfbdf2b7ef520f9df3be8f2b248275e09", size = 184899, upload-time = "2026-06-10T08:41:25.481Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/02/77b271f5dc58bfbc0b577c877b2365d1ffea2afe66a80c13f2312820348c/ipykernel-7.3.0-py3-none-any.whl", hash = "sha256:897eb64da762549ef610698fca5e9675195ec6ac8ec7f19d81ce1ca20c876057", size = 120583, upload-time = "2026-06-10T08:41:23.648Z" }, +] + +[[package]] +name = "ipython" +version = "8.39.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version < '3.11' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version < '3.11'" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "jedi", marker = "python_full_version < '3.11'" }, + { name = "matplotlib-inline", marker = "python_full_version < '3.11'" }, + { name = "pexpect", marker = "python_full_version < '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version < '3.11'" }, + { name = "pygments", marker = "python_full_version < '3.11'" }, + { name = "stack-data", marker = "python_full_version < '3.11'" }, + { name = "traitlets", marker = "python_full_version < '3.11'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/40/18/f8598d287006885e7136451fdea0755af4ebcbfe342836f24deefaed1164/ipython-8.39.0.tar.gz", hash = "sha256:4110ae96012c379b8b6db898a07e186c40a2a1ef5d57a7fa83166047d9da7624", size = 5513971, upload-time = "2026-03-27T10:02:13.94Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/56/4cc7fc9e9e3f38fd324f24f8afe0ad8bb5fa41283f37f1aaf9de0612c968/ipython-8.39.0-py3-none-any.whl", hash = "sha256:bb3c51c4fa8148ab1dea07a79584d1c854e234ea44aa1283bcb37bc75054651f", size = 831849, upload-time = "2026-03-27T10:02:07.846Z" }, +] + +[[package]] +name = "ipython" +version = "9.15.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version >= '3.11' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version >= '3.11'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.11'" }, + { name = "jedi", marker = "python_full_version >= '3.11'" }, + { name = "matplotlib-inline", marker = "python_full_version >= '3.11'" }, + { name = "pexpect", marker = "python_full_version >= '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version >= '3.11'" }, + { name = "psutil", marker = "python_full_version >= '3.11' and sys_platform != 'cygwin' and sys_platform != 'emscripten'" }, + { name = "pygments", marker = "python_full_version >= '3.11'" }, + { name = "stack-data", marker = "python_full_version >= '3.11'" }, + { name = "traitlets", marker = "python_full_version >= '3.11'" }, + { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/53/59/165d3b4d75cc34add3122c4417ecb229085140ac573103c223cd01dde96f/ipython-9.15.0.tar.gz", hash = "sha256:da2819ce2aa83135257df830660b1176d986c3d2876db24df01974fa955b2756", size = 4442580, upload-time = "2026-06-26T11:03:35.913Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/40/3a/948263ca3b9d65bb2b1b0c521b3a49fad5d59ada58724bd87d2bd5ff3f36/ipython-9.15.0-py3-none-any.whl", hash = "sha256:515ad9c3cdf0c932a5a9f6245419e8aba706b7bd03c3e1d3a1c83d9351d6aa6e", size = 630895, upload-time = "2026-06-26T11:03:33.809Z" }, +] + +[[package]] +name = "ipython-pygments-lexers" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pygments", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload-time = "2025-01-17T11:24:33.271Z" }, +] + +[[package]] +name = "isoduration" +version = "20.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "arrow" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload-time = "2020-11-01T11:00:00.312Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload-time = "2020-11-01T10:59:58.02Z" }, +] + +[[package]] +name = "jedi" +version = "0.20.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "parso" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/46/b7/a3635f6a2d7cf5b5dd98064fc1d5fbbafcb25477bcea204a3a92145d158b/jedi-0.20.0.tar.gz", hash = "sha256:c3f4ccbd276696f4b19c54618d4fb18f9fc24b0aef02acf704b23f487daa1011", size = 3119416, upload-time = "2026-05-01T23:38:47.814Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/93/242e2eab5fe682ffcb8b0084bde703a41d51e17ee0f3a31ff0d9d813620a/jedi-0.20.0-py2.py3-none-any.whl", hash = "sha256:7bdd9c2634f56713299976f4cbd59cb3fa92165cc5e05ea811fb253480728b67", size = 4884812, upload-time = "2026-05-01T23:38:43.919Z" }, +] + +[[package]] +name = "jinja2" +version = "3.1.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markupsafe" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" }, +] + +[[package]] +name = "json5" +version = "0.15.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e4/7d/05c46a96a78147ae3bf99c2f4169ce144a70220b8d6fcd56f6ec368b8ce9/json5-0.15.0.tar.gz", hash = "sha256:7424d1f1eb1d56da6e3d70643f53619862b4ce81440bdb8ecfd6f875e5ba4a71", size = 53278, upload-time = "2026-06-19T20:08:27.716Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/eb/be/59527c99478aade6bb33a68d72e6e18dd4e6ff6eacfc7d01bdb15bc76912/json5-0.15.0-py3-none-any.whl", hash = "sha256:56636a30c0e8a4665fe2179c0212f32eae3796dea89ea6f649b9436ecdb39618", size = 36570, upload-time = "2026-06-19T20:08:26.748Z" }, +] + +[[package]] +name = "jsonpointer" +version = "3.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/18/c7/af399a2e7a67fd18d63c40c5e62d3af4e67b836a2107468b6a5ea24c4304/jsonpointer-3.1.1.tar.gz", hash = "sha256:0b801c7db33a904024f6004d526dcc53bbb8a4a0f4e32bfd10beadf60adf1900", size = 9068, upload-time = "2026-03-23T22:32:32.458Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/6a/a83720e953b1682d2d109d3c2dbb0bc9bf28cc1cbc205be4ef4be5da709d/jsonpointer-3.1.1-py3-none-any.whl", hash = "sha256:8ff8b95779d071ba472cf5bc913028df06031797532f08a7d5b602d8b2a488ca", size = 7659, upload-time = "2026-03-23T22:32:31.568Z" }, +] + +[[package]] +name = "jsonschema" +version = "4.26.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "jsonschema-specifications" }, + { name = "referencing" }, + { name = "rpds-py", version = "0.30.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "rpds-py", version = "2026.6.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/69/90/f63fb5873511e014207a475e2bb4e8b2e570d655b00ac19a9a0ca0a385ee/jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce", size = 90630, upload-time = "2026-01-07T13:41:05.306Z" }, +] + +[package.optional-dependencies] +format-nongpl = [ + { name = "fqdn" }, + { name = "idna" }, + { name = "isoduration" }, + { name = "jsonpointer" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "rfc3987-syntax" }, + { name = "uri-template" }, + { name = "webcolors" }, +] + +[[package]] +name = "jsonschema-specifications" +version = "2025.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "referencing" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" }, +] + +[[package]] +name = "jupyter-builder" +version = "1.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-core" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0d/df/db5efc4e28803a1421350445e53d85ec571a4e6928e3524ccc39f4e16584/jupyter_builder-1.1.0.tar.gz", hash = "sha256:b996e8af616900f18724fa34883169d869be2205497940bec78a3a1031eb897d", size = 971142, upload-time = "2026-07-11T07:24:02.4Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7c/fb/53adbc72931b4429275b160044c3e1bcbc8fbb5ea6b8f318a357834842fb/jupyter_builder-1.1.0-py3-none-any.whl", hash = "sha256:d9d5280e8845f726663545c3a6db55bd205127616eeb8958481091d6cba71b6a", size = 912964, upload-time = "2026-07-11T07:24:00.279Z" }, +] + +[[package]] +name = "jupyter-client" +version = "8.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-core" }, + { name = "python-dateutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7d/dc/5512503b088997c2250b8bf18258fba9d9ce5ead641183700960d3c9d342/jupyter_client-8.9.1.tar.gz", hash = "sha256:a58f730dd9e728ba16ba1d62ebccf7ffe1ebbdbce4e95cfae941b7321ae1f4fa", size = 359256, upload-time = "2026-06-09T13:15:01.033Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3f/6f/56d39bf385c5c27988aebaf0c18a2a17e960575740100973511018bd904e/jupyter_client-8.9.1-py3-none-any.whl", hash = "sha256:0b7a295bc46e8751e9adae84781f726c851c1d911bd793edc4a3bde942e3da81", size = 109828, upload-time = "2026-06-09T13:14:58.835Z" }, +] + +[[package]] +name = "jupyter-core" +version = "5.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "platformdirs" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload-time = "2025-10-16T19:19:18.444Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload-time = "2025-10-16T19:19:16.783Z" }, +] + +[[package]] +name = "jupyter-events" +version = "0.12.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jsonschema", extra = ["format-nongpl"] }, + { name = "packaging" }, + { name = "python-json-logger" }, + { name = "pyyaml" }, + { name = "referencing" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/18/f8/475c4241b2b75af0deaae453ed003c6c851766dbc44d332d8baf245dc931/jupyter_events-0.12.1.tar.gz", hash = "sha256:faff25f77218335752f35f23c5fe6e4a392a7bd99a5939ccb9b8fbf594636cf3", size = 62854, upload-time = "2026-04-20T23:17:50.66Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/eb/6c/6fcde0c8f616ed360ffd3587f7db9e225a7e62b583a04494d2f069cf64ea/jupyter_events-0.12.1-py3-none-any.whl", hash = "sha256:c366585253f537a627da52fa7ca7410c5b5301fe893f511e7b077c2d93ec8bcf", size = 19512, upload-time = "2026-04-20T23:17:48.927Z" }, +] + +[[package]] +name = "jupyter-lsp" +version = "2.3.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/36/ff/1e4a61f5170a9a1d978f3ac3872449de6c01fc71eaf89657824c878b1549/jupyter_lsp-2.3.1.tar.gz", hash = "sha256:fdf8a4aa7d85813976d6e29e95e6a2c8f752701f926f2715305249a3829805a6", size = 55677, upload-time = "2026-04-02T08:10:06.749Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/23/e8/9d61dcbd1dce8ef418f06befd4ac084b4720429c26b0b1222bc218685eff/jupyter_lsp-2.3.1-py3-none-any.whl", hash = "sha256:71b954d834e85ff3096400554f2eefaf7fe37053036f9a782b0f7c5e42dadb81", size = 77513, upload-time = "2026-04-02T08:10:01.753Z" }, +] + +[[package]] +name = "jupyter-server" +version = "2.20.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "argon2-cffi" }, + { name = "jinja2" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "jupyter-events" }, + { name = "jupyter-server-terminals" }, + { name = "nbconvert" }, + { name = "nbformat" }, + { name = "overrides", marker = "python_full_version < '3.12'" }, + { name = "packaging" }, + { name = "prometheus-client" }, + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "pyzmq" }, + { name = "send2trash" }, + { name = "terminado" }, + { name = "tornado" }, + { name = "traitlets" }, + { name = "websocket-client" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6b/dc/db3a582633170186f8c8b31298d7eb26ad0eb031a1f53476c258b64eed05/jupyter_server-2.20.0.tar.gz", hash = "sha256:b5778ba337d8015a3dc2b80803ecdd5ac18d3797fddf61a50ea5fb472b4ebe14", size = 756523, upload-time = "2026-06-17T12:09:09.435Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f3/71/8c002223e873a870f5c41dc69b0a7c922301123e4a31d5d01ecb700aef77/jupyter_server-2.20.0-py3-none-any.whl", hash = "sha256:c3b67c93c471e947c18b5026f04f21614218adb706df8f48227d3ee8e0a7cdcc", size = 393143, upload-time = "2026-06-17T12:09:07.234Z" }, +] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "terminado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/a7/bcd0a9b0cbba88986fe944aaaf91bfda603e5a50bda8ed15123f381a3b2f/jupyter_server_terminals-0.5.4.tar.gz", hash = "sha256:bbda128ed41d0be9020349f9f1f2a4ab9952a73ed5f5ac9f1419794761fb87f5", size = 31770, upload-time = "2026-01-14T16:53:20.213Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/2d/6674563f71c6320841fc300911a55143925112a72a883e2ca71fba4c618d/jupyter_server_terminals-0.5.4-py3-none-any.whl", hash = "sha256:55be353fc74a80bc7f3b20e6be50a55a61cd525626f578dcb66a5708e2007d14", size = 13704, upload-time = "2026-01-14T16:53:18.738Z" }, +] + +[[package]] +name = "jupyterlab" +version = "4.6.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "async-lru" }, + { name = "httpx" }, + { name = "ipykernel" }, + { name = "jinja2" }, + { name = "jupyter-builder" }, + { name = "jupyter-core" }, + { name = "jupyter-lsp" }, + { name = "jupyter-server" }, + { name = "jupyterlab-server" }, + { name = "notebook-shim" }, + { name = "packaging" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bc/2a/d6af53bfd45a43a5bfe7e40ba47ee7a8921a807daf4bb708e3a295bbb54d/jupyterlab-4.6.1.tar.gz", hash = "sha256:75315982ed28427edaa62bb85eadb5105e4043a757643c910efd787fe6ed0837", size = 28179125, upload-time = "2026-06-29T12:48:45.402Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5a/81/90ac6cc31d248e83a0d1eab343a5e6e68bc783d3f74fbe61640f42a61da4/jupyterlab-4.6.1-py3-none-any.whl", hash = "sha256:85a58546c831f3dce6cf919468c26874c9065e99c42279fb4abb8e1b552a98bb", size = 17164660, upload-time = "2026-06-29T12:48:41.21Z" }, +] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" }, +] + +[[package]] +name = "jupyterlab-server" +version = "2.28.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "babel" }, + { name = "jinja2" }, + { name = "json5" }, + { name = "jsonschema" }, + { name = "jupyter-server" }, + { name = "packaging" }, + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/d6/2c/90153f189e421e93c4bb4f9e3f59802a1f01abd2ac5cf40b152d7f735232/jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c", size = 76996, upload-time = "2025-10-22T13:59:18.37Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e0/07/a000fe835f76b7e1143242ab1122e6362ef1c03f23f83a045c38859c2ae0/jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968", size = 59830, upload-time = "2025-10-22T13:59:16.767Z" }, +] + +[[package]] +name = "kiwisolver" +version = "1.5.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d0/67/9c61eccb13f0bdca9307614e782fec49ffdde0f7a2314935d489fa93cd9c/kiwisolver-1.5.0.tar.gz", hash = "sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a", size = 103482, upload-time = "2026-03-09T13:15:53.382Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ac/f8/06549565caa026e540b7e7bab5c5a90eb7ca986015f4c48dace243cd24d9/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374", size = 122802, upload-time = "2026-03-09T13:12:37.515Z" }, + { url = "https://files.pythonhosted.org/packages/84/eb/8476a0818850c563ff343ea7c9c05dcdcbd689a38e01aa31657df01f91fa/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd", size = 66216, upload-time = "2026-03-09T13:12:38.812Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c4/f9c8a6b4c21aed4198566e45923512986d6cef530e7263b3a5f823546561/kiwisolver-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86e0287879f75621ae85197b0877ed2f8b7aa57b511c7331dce2eb6f4de7d476", size = 63917, upload-time = "2026-03-09T13:12:40.053Z" }, + { url = "https://files.pythonhosted.org/packages/f1/0e/ba4ae25d03722f64de8b2c13e80d82ab537a06b30fc7065183c6439357e3/kiwisolver-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:62f59da443c4f4849f73a51a193b1d9d258dcad0c41bc4d1b8fb2bcc04bfeb22", size = 1628776, upload-time = "2026-03-09T13:12:41.976Z" }, + { url = "https://files.pythonhosted.org/packages/8a/e4/3f43a011bc8a0860d1c96f84d32fa87439d3feedf66e672fef03bf5e8bac/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9190426b7aa26c5229501fa297b8d0653cfd3f5a36f7990c264e157cbf886b3b", size = 1228164, upload-time = "2026-03-09T13:12:44.002Z" }, + { url = "https://files.pythonhosted.org/packages/4b/34/3a901559a1e0c218404f9a61a93be82d45cb8f44453ba43088644980f033/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c8277104ded0a51e699c8c3aff63ce2c56d4ed5519a5f73e0fd7057f959a2b9e", size = 1246656, upload-time = "2026-03-09T13:12:45.557Z" }, + { url = "https://files.pythonhosted.org/packages/87/9e/f78c466ea20527822b95ad38f141f2de1dcd7f23fb8716b002b0d91bbe59/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8f9baf6f0a6e7571c45c8863010b45e837c3ee1c2c77fcd6ef423be91b21fedb", size = 1295562, upload-time = "2026-03-09T13:12:47.562Z" }, + { url = "https://files.pythonhosted.org/packages/0a/66/fd0e4a612e3a286c24e6d6f3a5428d11258ed1909bc530ba3b59807fd980/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537", size = 2178473, upload-time = "2026-03-09T13:12:50.254Z" }, + { url = "https://files.pythonhosted.org/packages/dc/8e/6cac929e0049539e5ee25c1ee937556f379ba5204840d03008363ced662d/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4", size = 2274035, upload-time = "2026-03-09T13:12:51.785Z" }, + { url = "https://files.pythonhosted.org/packages/ca/d3/9d0c18f1b52ea8074b792452cf17f1f5a56bd0302a85191f405cfbf9da16/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c", size = 2443217, upload-time = "2026-03-09T13:12:53.329Z" }, + { url = "https://files.pythonhosted.org/packages/45/2a/6e19368803a038b2a90857bf4ee9e3c7b667216d045866bf22d3439fd75e/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede", size = 2249196, upload-time = "2026-03-09T13:12:55.057Z" }, + { url = "https://files.pythonhosted.org/packages/75/2b/3f641dfcbe72e222175d626bacf2f72c3b34312afec949dd1c50afa400f5/kiwisolver-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:94eff26096eb5395136634622515b234ecb6c9979824c1f5004c6e3c3c85ccd2", size = 73389, upload-time = "2026-03-09T13:12:56.496Z" }, + { url = "https://files.pythonhosted.org/packages/da/88/299b137b9e0025d8982e03d2d52c123b0a2b159e84b0ef1501ef446339cf/kiwisolver-1.5.0-cp310-cp310-win_arm64.whl", hash = "sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875", size = 64782, upload-time = "2026-03-09T13:12:57.609Z" }, + { url = "https://files.pythonhosted.org/packages/12/dd/a495a9c104be1c476f0386e714252caf2b7eca883915422a64c50b88c6f5/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c", size = 122798, upload-time = "2026-03-09T13:12:58.963Z" }, + { url = "https://files.pythonhosted.org/packages/11/60/37b4047a2af0cf5ef6d8b4b26e91829ae6fc6a2d1f74524bcb0e7cd28a32/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb", size = 66216, upload-time = "2026-03-09T13:13:00.155Z" }, + { url = "https://files.pythonhosted.org/packages/0a/aa/510dc933d87767584abfe03efa445889996c70c2990f6f87c3ebaa0a18c5/kiwisolver-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac", size = 63911, upload-time = "2026-03-09T13:13:01.671Z" }, + { url = "https://files.pythonhosted.org/packages/80/46/bddc13df6c2a40741e0cc7865bb1c9ed4796b6760bd04ce5fae3928ef917/kiwisolver-1.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27", size = 1438209, upload-time = "2026-03-09T13:13:03.385Z" }, + { url = "https://files.pythonhosted.org/packages/fd/d6/76621246f5165e5372f02f5e6f3f48ea336a8f9e96e43997d45b240ed8cd/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398", size = 1248888, upload-time = "2026-03-09T13:13:05.231Z" }, + { url = "https://files.pythonhosted.org/packages/b2/c1/31559ec6fb39a5b48035ce29bb63ade628f321785f38c384dee3e2c08bc1/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db", size = 1266304, upload-time = "2026-03-09T13:13:06.743Z" }, + { url = "https://files.pythonhosted.org/packages/5e/ef/1cb8276f2d29cc6a41e0a042f27946ca347d3a4a75acf85d0a16aa6dcc82/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc", size = 1319650, upload-time = "2026-03-09T13:13:08.607Z" }, + { url = "https://files.pythonhosted.org/packages/4c/e4/5ba3cecd7ce6236ae4a80f67e5d5531287337d0e1f076ca87a5abe4cd5d0/kiwisolver-1.5.0-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679", size = 970949, upload-time = "2026-03-09T13:13:10.299Z" }, + { url = "https://files.pythonhosted.org/packages/5a/69/dc61f7ae9a2f071f26004ced87f078235b5507ab6e5acd78f40365655034/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309", size = 2199125, upload-time = "2026-03-09T13:13:11.841Z" }, + { url = "https://files.pythonhosted.org/packages/e5/7b/abbe0f1b5afa85f8d084b73e90e5f801c0939eba16ac2e49af7c61a6c28d/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2", size = 2293783, upload-time = "2026-03-09T13:13:14.399Z" }, + { url = "https://files.pythonhosted.org/packages/8a/80/5908ae149d96d81580d604c7f8aefd0e98f4fd728cf172f477e9f2a81744/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c", size = 1960726, upload-time = "2026-03-09T13:13:16.047Z" }, + { url = "https://files.pythonhosted.org/packages/84/08/a78cb776f8c085b7143142ce479859cfec086bd09ee638a317040b6ef420/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08", size = 2464738, upload-time = "2026-03-09T13:13:17.897Z" }, + { url = "https://files.pythonhosted.org/packages/b1/e1/65584da5356ed6cb12c63791a10b208860ac40a83de165cb6a6751a686e3/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4", size = 2270718, upload-time = "2026-03-09T13:13:19.421Z" }, + { url = "https://files.pythonhosted.org/packages/be/6c/28f17390b62b8f2f520e2915095b3c94d88681ecf0041e75389d9667f202/kiwisolver-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b", size = 73480, upload-time = "2026-03-09T13:13:20.818Z" }, + { url = "https://files.pythonhosted.org/packages/d8/0e/2ee5debc4f77a625778fec5501ff3e8036fe361b7ee28ae402a485bb9694/kiwisolver-1.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac", size = 64930, upload-time = "2026-03-09T13:13:21.997Z" }, + { url = "https://files.pythonhosted.org/packages/4d/b2/818b74ebea34dabe6d0c51cb1c572e046730e64844da6ed646d5298c40ce/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9", size = 123158, upload-time = "2026-03-09T13:13:23.127Z" }, + { url = "https://files.pythonhosted.org/packages/bf/d9/405320f8077e8e1c5c4bd6adc45e1e6edf6d727b6da7f2e2533cf58bff71/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588", size = 66388, upload-time = "2026-03-09T13:13:24.765Z" }, + { url = "https://files.pythonhosted.org/packages/99/9f/795fedf35634f746151ca8839d05681ceb6287fbed6cc1c9bf235f7887c2/kiwisolver-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819", size = 64068, upload-time = "2026-03-09T13:13:25.878Z" }, + { url = "https://files.pythonhosted.org/packages/c4/13/680c54afe3e65767bed7ec1a15571e1a2f1257128733851ade24abcefbcc/kiwisolver-1.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f", size = 1477934, upload-time = "2026-03-09T13:13:27.166Z" }, + { url = "https://files.pythonhosted.org/packages/c8/2f/cebfcdb60fd6a9b0f6b47a9337198bcbad6fbe15e68189b7011fd914911f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf", size = 1278537, upload-time = "2026-03-09T13:13:28.707Z" }, + { url = "https://files.pythonhosted.org/packages/f2/0d/9b782923aada3fafb1d6b84e13121954515c669b18af0c26e7d21f579855/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d", size = 1296685, upload-time = "2026-03-09T13:13:30.528Z" }, + { url = "https://files.pythonhosted.org/packages/27/70/83241b6634b04fe44e892688d5208332bde130f38e610c0418f9ede47ded/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083", size = 1346024, upload-time = "2026-03-09T13:13:32.818Z" }, + { url = "https://files.pythonhosted.org/packages/e4/db/30ed226fb271ae1a6431fc0fe0edffb2efe23cadb01e798caeb9f2ceae8f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6", size = 987241, upload-time = "2026-03-09T13:13:34.435Z" }, + { url = "https://files.pythonhosted.org/packages/ec/bd/c314595208e4c9587652d50959ead9e461995389664e490f4dce7ff0f782/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1", size = 2227742, upload-time = "2026-03-09T13:13:36.4Z" }, + { url = "https://files.pythonhosted.org/packages/c1/43/0499cec932d935229b5543d073c2b87c9c22846aab48881e9d8d6e742a2d/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0", size = 2323966, upload-time = "2026-03-09T13:13:38.204Z" }, + { url = "https://files.pythonhosted.org/packages/3d/6f/79b0d760907965acfd9d61826a3d41f8f093c538f55cd2633d3f0db269f6/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15", size = 1977417, upload-time = "2026-03-09T13:13:39.966Z" }, + { url = "https://files.pythonhosted.org/packages/ab/31/01d0537c41cb75a551a438c3c7a80d0c60d60b81f694dac83dd436aec0d0/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314", size = 2491238, upload-time = "2026-03-09T13:13:41.698Z" }, + { url = "https://files.pythonhosted.org/packages/e4/34/8aefdd0be9cfd00a44509251ba864f5caf2991e36772e61c408007e7f417/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9", size = 2294947, upload-time = "2026-03-09T13:13:43.343Z" }, + { url = "https://files.pythonhosted.org/packages/ad/cf/0348374369ca588f8fe9c338fae49fa4e16eeb10ffb3d012f23a54578a9e/kiwisolver-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384", size = 73569, upload-time = "2026-03-09T13:13:45.792Z" }, + { url = "https://files.pythonhosted.org/packages/28/26/192b26196e2316e2bd29deef67e37cdf9870d9af8e085e521afff0fed526/kiwisolver-1.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7", size = 64997, upload-time = "2026-03-09T13:13:46.878Z" }, + { url = "https://files.pythonhosted.org/packages/9d/69/024d6711d5ba575aa65d5538042e99964104e97fa153a9f10bc369182bc2/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09", size = 123166, upload-time = "2026-03-09T13:13:48.032Z" }, + { url = "https://files.pythonhosted.org/packages/ce/48/adbb40df306f587054a348831220812b9b1d787aff714cfbc8556e38fccd/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3", size = 66395, upload-time = "2026-03-09T13:13:49.365Z" }, + { url = "https://files.pythonhosted.org/packages/a8/3a/d0a972b34e1c63e2409413104216cd1caa02c5a37cb668d1687d466c1c45/kiwisolver-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd", size = 64065, upload-time = "2026-03-09T13:13:50.562Z" }, + { url = "https://files.pythonhosted.org/packages/2b/0a/7b98e1e119878a27ba8618ca1e18b14f992ff1eda40f47bccccf4de44121/kiwisolver-1.5.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3", size = 1477903, upload-time = "2026-03-09T13:13:52.084Z" }, + { url = "https://files.pythonhosted.org/packages/18/d8/55638d89ffd27799d5cc3d8aa28e12f4ce7a64d67b285114dbedc8ea4136/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96", size = 1278751, upload-time = "2026-03-09T13:13:54.673Z" }, + { url = "https://files.pythonhosted.org/packages/b8/97/b4c8d0d18421ecceba20ad8701358453b88e32414e6f6950b5a4bad54e65/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099", size = 1296793, upload-time = "2026-03-09T13:13:56.287Z" }, + { url = "https://files.pythonhosted.org/packages/c4/10/f862f94b6389d8957448ec9df59450b81bec4abb318805375c401a1e6892/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8", size = 1346041, upload-time = "2026-03-09T13:13:58.269Z" }, + { url = "https://files.pythonhosted.org/packages/a3/6a/f1650af35821eaf09de398ec0bc2aefc8f211f0cda50204c9f1673741ba9/kiwisolver-1.5.0-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87", size = 987292, upload-time = "2026-03-09T13:13:59.871Z" }, + { url = "https://files.pythonhosted.org/packages/de/19/d7fb82984b9238115fe629c915007be608ebd23dc8629703d917dbfaffd4/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23", size = 2227865, upload-time = "2026-03-09T13:14:01.401Z" }, + { url = "https://files.pythonhosted.org/packages/7f/b9/46b7f386589fd222dac9e9de9c956ce5bcefe2ee73b4e79891381dda8654/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859", size = 2324369, upload-time = "2026-03-09T13:14:02.972Z" }, + { url = "https://files.pythonhosted.org/packages/92/8b/95e237cf3d9c642960153c769ddcbe278f182c8affb20cecc1cc983e7cc5/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902", size = 1977989, upload-time = "2026-03-09T13:14:04.503Z" }, + { url = "https://files.pythonhosted.org/packages/1b/95/980c9df53501892784997820136c01f62bc1865e31b82b9560f980c0e649/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167", size = 2491645, upload-time = "2026-03-09T13:14:06.106Z" }, + { url = "https://files.pythonhosted.org/packages/cb/32/900647fd0840abebe1561792c6b31e6a7c0e278fc3973d30572a965ca14c/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0", size = 2295237, upload-time = "2026-03-09T13:14:08.891Z" }, + { url = "https://files.pythonhosted.org/packages/be/8a/be60e3bbcf513cc5a50f4a3e88e1dcecebb79c1ad607a7222877becaa101/kiwisolver-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276", size = 73573, upload-time = "2026-03-09T13:14:12.327Z" }, + { url = "https://files.pythonhosted.org/packages/4d/d2/64be2e429eb4fca7f7e1c52a91b12663aeaf25de3895e5cca0f47ef2a8d0/kiwisolver-1.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c", size = 64998, upload-time = "2026-03-09T13:14:13.469Z" }, + { url = "https://files.pythonhosted.org/packages/b0/69/ce68dd0c85755ae2de490bf015b62f2cea5f6b14ff00a463f9d0774449ff/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1", size = 125700, upload-time = "2026-03-09T13:14:14.636Z" }, + { url = "https://files.pythonhosted.org/packages/74/aa/937aac021cf9d4349990d47eb319309a51355ed1dbdc9c077cdc9224cb11/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e", size = 67537, upload-time = "2026-03-09T13:14:15.808Z" }, + { url = "https://files.pythonhosted.org/packages/ee/20/3a87fbece2c40ad0f6f0aefa93542559159c5f99831d596050e8afae7a9f/kiwisolver-1.5.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7", size = 65514, upload-time = "2026-03-09T13:14:18.035Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7f/f943879cda9007c45e1f7dba216d705c3a18d6b35830e488b6c6a4e7cdf0/kiwisolver-1.5.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c", size = 1584848, upload-time = "2026-03-09T13:14:19.745Z" }, + { url = "https://files.pythonhosted.org/packages/37/f8/4d4f85cc1870c127c88d950913370dd76138482161cd07eabbc450deff01/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368", size = 1391542, upload-time = "2026-03-09T13:14:21.54Z" }, + { url = "https://files.pythonhosted.org/packages/04/0b/65dd2916c84d252b244bd405303220f729e7c17c9d7d33dca6feeff9ffc4/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489", size = 1404447, upload-time = "2026-03-09T13:14:23.205Z" }, + { url = "https://files.pythonhosted.org/packages/39/5c/2606a373247babce9b1d056c03a04b65f3cf5290a8eac5d7bdead0a17e21/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1", size = 1455918, upload-time = "2026-03-09T13:14:24.74Z" }, + { url = "https://files.pythonhosted.org/packages/d5/d1/c6078b5756670658e9192a2ef11e939c92918833d2745f85cd14a6004bdf/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_39_riscv64.whl", hash = "sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3", size = 1072856, upload-time = "2026-03-09T13:14:26.597Z" }, + { url = "https://files.pythonhosted.org/packages/cb/c8/7def6ddf16eb2b3741d8b172bdaa9af882b03c78e9b0772975408801fa63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18", size = 2333580, upload-time = "2026-03-09T13:14:28.237Z" }, + { url = "https://files.pythonhosted.org/packages/9e/87/2ac1fce0eb1e616fcd3c35caa23e665e9b1948bb984f4764790924594128/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021", size = 2423018, upload-time = "2026-03-09T13:14:30.018Z" }, + { url = "https://files.pythonhosted.org/packages/67/13/c6700ccc6cc218716bfcda4935e4b2997039869b4ad8a94f364c5a3b8e63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310", size = 2062804, upload-time = "2026-03-09T13:14:32.888Z" }, + { url = "https://files.pythonhosted.org/packages/1b/bd/877056304626943ff0f1f44c08f584300c199b887cb3176cd7e34f1515f1/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3", size = 2597482, upload-time = "2026-03-09T13:14:34.971Z" }, + { url = "https://files.pythonhosted.org/packages/75/19/c60626c47bf0f8ac5dcf72c6c98e266d714f2fbbfd50cf6dab5ede3aaa50/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2", size = 2394328, upload-time = "2026-03-09T13:14:36.816Z" }, + { url = "https://files.pythonhosted.org/packages/47/84/6a6d5e5bb8273756c27b7d810d47f7ef2f1f9b9fd23c9ee9a3f8c75c9cef/kiwisolver-1.5.0-cp313-cp313t-win_arm64.whl", hash = "sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53", size = 68410, upload-time = "2026-03-09T13:14:38.695Z" }, + { url = "https://files.pythonhosted.org/packages/1c/fa/2910df836372d8761bb6eff7d8bdcb1613b5c2e03f260efe7abe34d388a7/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_10_13_x86_64.whl", hash = "sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797", size = 130262, upload-time = "2026-03-09T13:15:35.629Z" }, + { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" }, + { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" }, + { url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" }, + { url = "https://files.pythonhosted.org/packages/17/6f/6fd4f690a40c2582fa34b97d2678f718acf3706b91d270c65ecb455d0a06/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4", size = 59606, upload-time = "2026-03-09T13:15:40.81Z" }, + { url = "https://files.pythonhosted.org/packages/82/a0/2355d5e3b338f13ce63f361abb181e3b6ea5fffdb73f739b3e80efa76159/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:51e8c4084897de9f05898c2c2a39af6318044ae969d46ff7a34ed3f96274adca", size = 57537, upload-time = "2026-03-09T13:15:42.071Z" }, + { url = "https://files.pythonhosted.org/packages/c8/b9/1d50e610ecadebe205b71d6728fd224ce0e0ca6aba7b9cbe1da049203ac5/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b83af57bdddef03c01a9138034c6ff03181a3028d9a1003b301eb1a55e161a3f", size = 79888, upload-time = "2026-03-09T13:15:43.317Z" }, + { url = "https://files.pythonhosted.org/packages/cd/ee/b85ffcd75afed0357d74f0e6fc02a4507da441165de1ca4760b9f496390d/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf4679a3d71012a7c2bf360e5cd878fbd5e4fcac0896b56393dec239d81529ed", size = 77584, upload-time = "2026-03-09T13:15:44.605Z" }, + { url = "https://files.pythonhosted.org/packages/6b/dd/644d0dde6010a8583b4cd66dd41c5f83f5325464d15c4f490b3340ab73b4/kiwisolver-1.5.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:41024ed50e44ab1a60d3fe0a9d15a4ccc9f5f2b1d814ff283c8d01134d5b81bc", size = 73390, upload-time = "2026-03-09T13:15:45.832Z" }, + { url = "https://files.pythonhosted.org/packages/e9/eb/5fcbbbf9a0e2c3a35effb88831a483345326bbc3a030a3b5b69aee647f84/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232", size = 59532, upload-time = "2026-03-09T13:15:47.047Z" }, + { url = "https://files.pythonhosted.org/packages/c3/9b/e17104555bb4db148fd52327feea1e96be4b88e8e008b029002c281a21ab/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a", size = 57420, upload-time = "2026-03-09T13:15:48.199Z" }, + { url = "https://files.pythonhosted.org/packages/48/44/2b5b95b7aa39fb2d8d9d956e0f3d5d45aef2ae1d942d4c3ffac2f9cfed1a/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737", size = 79892, upload-time = "2026-03-09T13:15:49.694Z" }, + { url = "https://files.pythonhosted.org/packages/52/7d/7157f9bba6b455cfb4632ed411e199fc8b8977642c2b12082e1bd9e6d173/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16", size = 77603, upload-time = "2026-03-09T13:15:50.945Z" }, + { url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" }, +] + +[[package]] +name = "lark" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/da/34/28fff3ab31ccff1fd4f6c7c7b0ceb2b6968d8ea4950663eadcb5720591a0/lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905", size = 382732, upload-time = "2025-10-27T18:25:56.653Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/3d/14ce75ef66813643812f3093ab17e46d3a206942ce7376d31ec2d36229e7/lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12", size = 113151, upload-time = "2025-10-27T18:25:54.882Z" }, +] + +[[package]] +name = "llvmlite" +version = "0.48.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/dc/a0/acc8ffcd5bdc63df0097e22c719bfcd61b604358343089313a8aebbb24ab/llvmlite-0.48.0.tar.gz", hash = "sha256:543b19f9ef8f3c7c60d1468191e4ee1b1537bf9f8a3d56f64c0ddd98de92edd2", size = 184016, upload-time = "2026-07-02T20:20:05.308Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a2/4e/32543c42568fb321b3bdfcf9106e4116ab8f5a7bbcfd9ecf5569b0c07d83/llvmlite-0.48.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:614aad57df707e3172efd5165f2aa7da6a0c6897e40dce590bf756396815ba76", size = 40480650, upload-time = "2026-07-01T18:41:01.945Z" }, + { url = "https://files.pythonhosted.org/packages/a9/0d/6aa48abd423067139a129d1434b77bbcc56080db51d12a88510bb491ca3d/llvmlite-0.48.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:13532f248960ba888ad5ab8150494e2f3a3d20e5f59f264e63741ea5b0ba844c", size = 59890118, upload-time = "2026-07-01T18:41:10.608Z" }, + { url = "https://files.pythonhosted.org/packages/5a/c7/aa917444d871a79608af49149de1b28764e87d2ab41f933c5cd02431d03d/llvmlite-0.48.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ee0c77685a18f5fca994ae21d0763007fca5c5c64b41de37accc78b69079176", size = 58343459, upload-time = "2026-07-01T18:41:06.21Z" }, + { url = "https://files.pythonhosted.org/packages/c5/2b/ceee1cdc263617109d514ac4d1b31f10a282662740ff7d5777baae25b3b5/llvmlite-0.48.0-cp310-cp310-win_amd64.whl", hash = "sha256:02853fe4214acb3780fc920c3fee10564b61d58a35e1b78afcc8a546c2deaba3", size = 41864734, upload-time = "2026-07-01T18:41:14.746Z" }, + { url = "https://files.pythonhosted.org/packages/9a/55/595981f14fbae9ba966feb12af552b1fe69889e44e64ac883a731ed335e0/llvmlite-0.48.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:56a7e24607d3f02d7b1bae8d29c7e1e423d53143d68b072999777f19678fe77b", size = 40480651, upload-time = "2026-07-01T18:41:18.438Z" }, + { url = "https://files.pythonhosted.org/packages/26/08/0109d1b9cb3f4603f3890e30bc66c65332b79185f12a045343b2ae431f67/llvmlite-0.48.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6fa532d6bb3fd3f0803567c736401c54aecfe1a396d3ad25d2440d220e09f0e7", size = 59890118, upload-time = "2026-07-01T18:41:28.184Z" }, + { url = "https://files.pythonhosted.org/packages/02/eb/c5281be180c789cdffbf45b671884c57d7e61345ef3b0f643a4965e108e8/llvmlite-0.48.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:979a66a3f28a02565383ff463527dce78e9b856298872a361283132488e83591", size = 58343458, upload-time = "2026-07-01T18:41:23.397Z" }, + { url = "https://files.pythonhosted.org/packages/aa/f7/b3222b13f2d424dae3c9e63fde476af25ebccf1f3faf0b52d1b79fc15c70/llvmlite-0.48.0-cp311-cp311-win_amd64.whl", hash = "sha256:efaee0276e5e17c2b99b92e0c974bd484ef5977cf5dbc9168e82b71578edb47f", size = 41864734, upload-time = "2026-07-01T18:41:31.932Z" }, + { url = "https://files.pythonhosted.org/packages/92/a2/28696a9e61e245d1a79816d29d106692a90a2b6e7d78c98b326db70827af/llvmlite-0.48.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:d66c3beb4209087ddd4cf4ed2a0856b6887e6a913bdcf1aacfec9851cf2cba4e", size = 40480651, upload-time = "2026-07-01T18:41:35.694Z" }, + { url = "https://files.pythonhosted.org/packages/80/f2/72409351db66d0a317ec5087e076f31fb7b773a640db8a90ce6b5cac9edd/llvmlite-0.48.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:416fa4c2c66c2c6dc6d0a402648c19206e548efa0aa1eff01ad5cdad0af8217d", size = 59890118, upload-time = "2026-07-01T18:41:44.886Z" }, + { url = "https://files.pythonhosted.org/packages/3a/27/5ae2f3722606360480707adb47f001ad89df8251d06b14ee80336e660b66/llvmlite-0.48.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f5e5a5131045b72345c71062ea1a91910dde913792b6c9b28ebb2c1c0a712e98", size = 58343459, upload-time = "2026-07-01T18:41:40.306Z" }, + { url = "https://files.pythonhosted.org/packages/16/78/d824ffff7521cd140dc2006e44ce2bc82e64b48d1b32e90e956308c85a74/llvmlite-0.48.0-cp312-cp312-win_amd64.whl", hash = "sha256:d45c7541a80934ec6d8ab0defe67439494ecd2193cbf852a44ba827808976ac1", size = 41865022, upload-time = "2026-07-01T18:41:48.663Z" }, + { url = "https://files.pythonhosted.org/packages/9c/23/fe9316d14626b42c73ef0b502e724705a6ee9450afe53759c0a99c37c2d7/llvmlite-0.48.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:a83a99ef0c05b4ccddf9b6218ed9fe84b653a0caf7c1d9dbe148d6d16c67f518", size = 40480652, upload-time = "2026-07-01T18:41:52.216Z" }, + { url = "https://files.pythonhosted.org/packages/1b/4a/90715fa12006d681270b08d881195b6fab3ec39572e048764a1f7f59fed7/llvmlite-0.48.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8761b9e522f55207e24424fcd98370289eec2710bf8e915c82d1053f642450dc", size = 59890120, upload-time = "2026-07-01T18:42:00.748Z" }, + { url = "https://files.pythonhosted.org/packages/70/5e/7b3e20d64650ca3c80af0cdb664ec4b575ec83d9d4dd05bea8bd31f9bbb6/llvmlite-0.48.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2fe5cb59b2063bfa039dcb8ca6481c0181bf552f340d10dcf61d7996a665556e", size = 58343457, upload-time = "2026-07-01T18:41:56.41Z" }, + { url = "https://files.pythonhosted.org/packages/17/97/5a430055d1838cf1fb7a01cfa943300f5e4c026fc6333a522c5e4a03b0c1/llvmlite-0.48.0-cp313-cp313-win_amd64.whl", hash = "sha256:91c7e24e74cde3f02b88aa5acca678373f9e069f3b98531b3dbb3a142d9d10bb", size = 41865022, upload-time = "2026-07-01T18:42:04.57Z" }, +] + +[[package]] +name = "markupsafe" +version = "3.0.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e8/4b/3541d44f3937ba468b75da9eebcae497dcf67adb65caa16760b0a6807ebb/markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559", size = 11631, upload-time = "2025-09-27T18:36:05.558Z" }, + { url = "https://files.pythonhosted.org/packages/98/1b/fbd8eed11021cabd9226c37342fa6ca4e8a98d8188a8d9b66740494960e4/markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419", size = 12057, upload-time = "2025-09-27T18:36:07.165Z" }, + { url = "https://files.pythonhosted.org/packages/40/01/e560d658dc0bb8ab762670ece35281dec7b6c1b33f5fbc09ebb57a185519/markupsafe-3.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695", size = 22050, upload-time = "2025-09-27T18:36:08.005Z" }, + { url = "https://files.pythonhosted.org/packages/af/cd/ce6e848bbf2c32314c9b237839119c5a564a59725b53157c856e90937b7a/markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591", size = 20681, upload-time = "2025-09-27T18:36:08.881Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2a/b5c12c809f1c3045c4d580b035a743d12fcde53cf685dbc44660826308da/markupsafe-3.0.3-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c", size = 20705, upload-time = "2025-09-27T18:36:10.131Z" }, + { url = "https://files.pythonhosted.org/packages/cf/e3/9427a68c82728d0a88c50f890d0fc072a1484de2f3ac1ad0bfc1a7214fd5/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f", size = 21524, upload-time = "2025-09-27T18:36:11.324Z" }, + { url = "https://files.pythonhosted.org/packages/bc/36/23578f29e9e582a4d0278e009b38081dbe363c5e7165113fad546918a232/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6", size = 20282, upload-time = "2025-09-27T18:36:12.573Z" }, + { url = "https://files.pythonhosted.org/packages/56/21/dca11354e756ebd03e036bd8ad58d6d7168c80ce1fe5e75218e4945cbab7/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1", size = 20745, upload-time = "2025-09-27T18:36:13.504Z" }, + { url = "https://files.pythonhosted.org/packages/87/99/faba9369a7ad6e4d10b6a5fbf71fa2a188fe4a593b15f0963b73859a1bbd/markupsafe-3.0.3-cp310-cp310-win32.whl", hash = "sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa", size = 14571, upload-time = "2025-09-27T18:36:14.779Z" }, + { url = "https://files.pythonhosted.org/packages/d6/25/55dc3ab959917602c96985cb1253efaa4ff42f71194bddeb61eb7278b8be/markupsafe-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8", size = 15056, upload-time = "2025-09-27T18:36:16.125Z" }, + { url = "https://files.pythonhosted.org/packages/d0/9e/0a02226640c255d1da0b8d12e24ac2aa6734da68bff14c05dd53b94a0fc3/markupsafe-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1", size = 13932, upload-time = "2025-09-27T18:36:17.311Z" }, + { url = "https://files.pythonhosted.org/packages/08/db/fefacb2136439fc8dd20e797950e749aa1f4997ed584c62cfb8ef7c2be0e/markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad", size = 11631, upload-time = "2025-09-27T18:36:18.185Z" }, + { url = "https://files.pythonhosted.org/packages/e1/2e/5898933336b61975ce9dc04decbc0a7f2fee78c30353c5efba7f2d6ff27a/markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a", size = 12058, upload-time = "2025-09-27T18:36:19.444Z" }, + { url = "https://files.pythonhosted.org/packages/1d/09/adf2df3699d87d1d8184038df46a9c80d78c0148492323f4693df54e17bb/markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50", size = 24287, upload-time = "2025-09-27T18:36:20.768Z" }, + { url = "https://files.pythonhosted.org/packages/30/ac/0273f6fcb5f42e314c6d8cd99effae6a5354604d461b8d392b5ec9530a54/markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf", size = 22940, upload-time = "2025-09-27T18:36:22.249Z" }, + { url = "https://files.pythonhosted.org/packages/19/ae/31c1be199ef767124c042c6c3e904da327a2f7f0cd63a0337e1eca2967a8/markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f", size = 21887, upload-time = "2025-09-27T18:36:23.535Z" }, + { url = "https://files.pythonhosted.org/packages/b2/76/7edcab99d5349a4532a459e1fe64f0b0467a3365056ae550d3bcf3f79e1e/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a", size = 23692, upload-time = "2025-09-27T18:36:24.823Z" }, + { url = "https://files.pythonhosted.org/packages/a4/28/6e74cdd26d7514849143d69f0bf2399f929c37dc2b31e6829fd2045b2765/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115", size = 21471, upload-time = "2025-09-27T18:36:25.95Z" }, + { url = "https://files.pythonhosted.org/packages/62/7e/a145f36a5c2945673e590850a6f8014318d5577ed7e5920a4b3448e0865d/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a", size = 22923, upload-time = "2025-09-27T18:36:27.109Z" }, + { url = "https://files.pythonhosted.org/packages/0f/62/d9c46a7f5c9adbeeeda52f5b8d802e1094e9717705a645efc71b0913a0a8/markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19", size = 14572, upload-time = "2025-09-27T18:36:28.045Z" }, + { url = "https://files.pythonhosted.org/packages/83/8a/4414c03d3f891739326e1783338e48fb49781cc915b2e0ee052aa490d586/markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01", size = 15077, upload-time = "2025-09-27T18:36:29.025Z" }, + { url = "https://files.pythonhosted.org/packages/35/73/893072b42e6862f319b5207adc9ae06070f095b358655f077f69a35601f0/markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c", size = 13876, upload-time = "2025-09-27T18:36:29.954Z" }, + { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload-time = "2025-09-27T18:36:30.854Z" }, + { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload-time = "2025-09-27T18:36:31.971Z" }, + { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload-time = "2025-09-27T18:36:32.813Z" }, + { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload-time = "2025-09-27T18:36:33.86Z" }, + { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload-time = "2025-09-27T18:36:35.099Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload-time = "2025-09-27T18:36:36.001Z" }, + { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload-time = "2025-09-27T18:36:36.906Z" }, + { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload-time = "2025-09-27T18:36:37.868Z" }, + { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload-time = "2025-09-27T18:36:38.761Z" }, + { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload-time = "2025-09-27T18:36:39.701Z" }, + { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload-time = "2025-09-27T18:36:40.689Z" }, + { url = "https://files.pythonhosted.org/packages/38/2f/907b9c7bbba283e68f20259574b13d005c121a0fa4c175f9bed27c4597ff/markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795", size = 11622, upload-time = "2025-09-27T18:36:41.777Z" }, + { url = "https://files.pythonhosted.org/packages/9c/d9/5f7756922cdd676869eca1c4e3c0cd0df60ed30199ffd775e319089cb3ed/markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219", size = 12029, upload-time = "2025-09-27T18:36:43.257Z" }, + { url = "https://files.pythonhosted.org/packages/00/07/575a68c754943058c78f30db02ee03a64b3c638586fba6a6dd56830b30a3/markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6", size = 24374, upload-time = "2025-09-27T18:36:44.508Z" }, + { url = "https://files.pythonhosted.org/packages/a9/21/9b05698b46f218fc0e118e1f8168395c65c8a2c750ae2bab54fc4bd4e0e8/markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676", size = 22980, upload-time = "2025-09-27T18:36:45.385Z" }, + { url = "https://files.pythonhosted.org/packages/7f/71/544260864f893f18b6827315b988c146b559391e6e7e8f7252839b1b846a/markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9", size = 21990, upload-time = "2025-09-27T18:36:46.916Z" }, + { url = "https://files.pythonhosted.org/packages/c2/28/b50fc2f74d1ad761af2f5dcce7492648b983d00a65b8c0e0cb457c82ebbe/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1", size = 23784, upload-time = "2025-09-27T18:36:47.884Z" }, + { url = "https://files.pythonhosted.org/packages/ed/76/104b2aa106a208da8b17a2fb72e033a5a9d7073c68f7e508b94916ed47a9/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc", size = 21588, upload-time = "2025-09-27T18:36:48.82Z" }, + { url = "https://files.pythonhosted.org/packages/b5/99/16a5eb2d140087ebd97180d95249b00a03aa87e29cc224056274f2e45fd6/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12", size = 23041, upload-time = "2025-09-27T18:36:49.797Z" }, + { url = "https://files.pythonhosted.org/packages/19/bc/e7140ed90c5d61d77cea142eed9f9c303f4c4806f60a1044c13e3f1471d0/markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed", size = 14543, upload-time = "2025-09-27T18:36:51.584Z" }, + { url = "https://files.pythonhosted.org/packages/05/73/c4abe620b841b6b791f2edc248f556900667a5a1cf023a6646967ae98335/markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5", size = 15113, upload-time = "2025-09-27T18:36:52.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3a/fa34a0f7cfef23cf9500d68cb7c32dd64ffd58a12b09225fb03dd37d5b80/markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485", size = 13911, upload-time = "2025-09-27T18:36:53.513Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/e05cd7efe43a88a17a37b3ae96e79a19e846f3f456fe79c57ca61356ef01/markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73", size = 11658, upload-time = "2025-09-27T18:36:54.819Z" }, + { url = "https://files.pythonhosted.org/packages/99/9e/e412117548182ce2148bdeacdda3bb494260c0b0184360fe0d56389b523b/markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37", size = 12066, upload-time = "2025-09-27T18:36:55.714Z" }, + { url = "https://files.pythonhosted.org/packages/bc/e6/fa0ffcda717ef64a5108eaa7b4f5ed28d56122c9a6d70ab8b72f9f715c80/markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19", size = 25639, upload-time = "2025-09-27T18:36:56.908Z" }, + { url = "https://files.pythonhosted.org/packages/96/ec/2102e881fe9d25fc16cb4b25d5f5cde50970967ffa5dddafdb771237062d/markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025", size = 23569, upload-time = "2025-09-27T18:36:57.913Z" }, + { url = "https://files.pythonhosted.org/packages/4b/30/6f2fce1f1f205fc9323255b216ca8a235b15860c34b6798f810f05828e32/markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6", size = 23284, upload-time = "2025-09-27T18:36:58.833Z" }, + { url = "https://files.pythonhosted.org/packages/58/47/4a0ccea4ab9f5dcb6f79c0236d954acb382202721e704223a8aafa38b5c8/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f", size = 24801, upload-time = "2025-09-27T18:36:59.739Z" }, + { url = "https://files.pythonhosted.org/packages/6a/70/3780e9b72180b6fecb83a4814d84c3bf4b4ae4bf0b19c27196104149734c/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb", size = 22769, upload-time = "2025-09-27T18:37:00.719Z" }, + { url = "https://files.pythonhosted.org/packages/98/c5/c03c7f4125180fc215220c035beac6b9cb684bc7a067c84fc69414d315f5/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009", size = 23642, upload-time = "2025-09-27T18:37:01.673Z" }, + { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload-time = "2025-09-27T18:37:02.639Z" }, + { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload-time = "2025-09-27T18:37:03.582Z" }, + { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload-time = "2025-09-27T18:37:04.929Z" }, +] + +[[package]] +name = "matplotlib" +version = "3.10.9" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "cycler", marker = "python_full_version < '3.11'" }, + { name = "fonttools", marker = "python_full_version < '3.11'" }, + { name = "kiwisolver", marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "packaging", marker = "python_full_version < '3.11'" }, + { name = "pillow", marker = "python_full_version < '3.11'" }, + { name = "pyparsing", marker = "python_full_version < '3.11'" }, + { name = "python-dateutil", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/63/1b/4be5be87d43d327a0cf4de1a56e86f7f84c89312452406cf122efe2839e6/matplotlib-3.10.9.tar.gz", hash = "sha256:fd66508e8c6877d98e586654b608a0456db8d7e8a546eb1e2600efd957302358", size = 34811233, upload-time = "2026-04-24T00:14:13.539Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/18/6f/340b04986e67aac6f66c5145ce68bf72c64bed30f92c8913499a6e6b8f99/matplotlib-3.10.9-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77210dce9cb8153dffc967efaae990543392563d5a376d4dd8539bebcb0ed217", size = 8296625, upload-time = "2026-04-24T00:11:43.376Z" }, + { url = "https://files.pythonhosted.org/packages/bb/2f/127081eb83162053ebb9678ceac64220b93a663e0167432566e9c7c82aab/matplotlib-3.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1e7698ac9868428e84d2c967424803b2472ff7167d9d6590d4204ed775343c3b", size = 8188790, upload-time = "2026-04-24T00:11:46.556Z" }, + { url = "https://files.pythonhosted.org/packages/fc/b7/d8bcec2626c35f96972bff656299fef4578113ea6193c8fdad324710410c/matplotlib-3.10.9-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1aa972116abb4c9d201bf245620b433726cb6856f3bef6a78f776a00f5c92d37", size = 8769389, upload-time = "2026-04-24T00:11:48.959Z" }, + { url = "https://files.pythonhosted.org/packages/12/49/b78e214a527ea732033b7f4d37f7afb504d74ba9d134bd47938230dfb8b1/matplotlib-3.10.9-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ae2f11957b27ce53497dd4d7b235c4d4f1faf383dfb39d0c5beb833bff883294", size = 9589657, upload-time = "2026-04-24T00:11:51.915Z" }, + { url = "https://files.pythonhosted.org/packages/5f/15/5246f7b43beae19c74dfee651d58d6cc8112e06f77adb4e88cc04f2e3a23/matplotlib-3.10.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b049278ddce116aaa1c1377ebf58adea909132dfce0281cf7e3a1ea9fc2e2c65", size = 9651983, upload-time = "2026-04-24T00:11:54.766Z" }, + { url = "https://files.pythonhosted.org/packages/75/77/5acecfe672ba0fa1b8c0454f69ce155d1e6fc5852fa7206bf9afaf767121/matplotlib-3.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:82834c3c292d24d3a8aae77cd2d20019de69d692a34a970e4fdb8d33e2ea3dda", size = 8199701, upload-time = "2026-04-24T00:11:58.389Z" }, + { url = "https://files.pythonhosted.org/packages/4c/8c/290f021104741fea63769c31494f5324c0cd249bf536a65a4350767b1f22/matplotlib-3.10.9-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:68cfdcede415f7c8f5577b03303dd94526cdb6d11036cecdc205e08733b2d2bb", size = 8306860, upload-time = "2026-04-24T00:12:01.207Z" }, + { url = "https://files.pythonhosted.org/packages/51/18/325cd32ece1120d1da51cc4e4294c6580190699490183fc2fe8cb6d61ec5/matplotlib-3.10.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfca0129678bd56379db26c52b5d77ed7de314c047492fbdc763aa7501710cfb", size = 8199254, upload-time = "2026-04-24T00:12:04.239Z" }, + { url = "https://files.pythonhosted.org/packages/79/db/e28c1b83e3680740aa78925f5fb2ae4d16207207419ad75ea9fe604f8676/matplotlib-3.10.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8e436d155fa8a3399dc62683f8f5d0e2e50d25d0144a73edd73f82eec8f4abfb", size = 8777092, upload-time = "2026-04-24T00:12:06.793Z" }, + { url = "https://files.pythonhosted.org/packages/55/fa/3ce7adfe9ba101748f465211660d9c6374c876b671bdb8c2bb6d347e8b94/matplotlib-3.10.9-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56fc0bd271b00025c6edfdc7c2dcd247372c8e1544971d62e1dc7c17367e8bf9", size = 9595691, upload-time = "2026-04-24T00:12:09.706Z" }, + { url = "https://files.pythonhosted.org/packages/36/c4/6960a76686ed668f2c60f84e9799ba4c0d56abdb36b1577b60c1d061d1ec/matplotlib-3.10.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a5a6104ed666402ba5106d7f36e0e0cdca4e8d7fa4d39708ca88019e2835a2eb", size = 9659771, upload-time = "2026-04-24T00:12:12.766Z" }, + { url = "https://files.pythonhosted.org/packages/7e/0d/271aace3342157c64700c9ff4c59c7b392f3dbab393692e8db6fbe7ab96c/matplotlib-3.10.9-cp311-cp311-win_amd64.whl", hash = "sha256:d730e984eddf56974c3e72b6129c7ca462ac38dc624338f4b0b23eb23ecba00f", size = 8205112, upload-time = "2026-04-24T00:12:15.773Z" }, + { url = "https://files.pythonhosted.org/packages/e2/ee/cb57ad4754f3e7b9174ce6ce66d9205fb827067e48a9f58ac09d7e7d6b77/matplotlib-3.10.9-cp311-cp311-win_arm64.whl", hash = "sha256:51bf0ddbdc598e060d46c16b5590708f81a1624cefbaaf62f6a81bf9285b8c80", size = 8132310, upload-time = "2026-04-24T00:12:18.645Z" }, + { url = "https://files.pythonhosted.org/packages/35/c6/5581e26c72233ebb2a2a6fed2d24fb7c66b4700120b813f51b0555acf0b6/matplotlib-3.10.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f0c3c28d9fbcc1fe7a03be236d73430cf6409c41fb2383a7ac52fe932b072cb1", size = 8319908, upload-time = "2026-04-24T00:12:21.323Z" }, + { url = "https://files.pythonhosted.org/packages/b7/18/4880dd762e40cd360c1bf06e890c5a97b997e91cb324602b1a19950ad5ce/matplotlib-3.10.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:41cb28c2bd769aa3e98322c6ab09854cbcc52ab69d2759d681bba3e327b2b320", size = 8216016, upload-time = "2026-04-24T00:12:23.4Z" }, + { url = "https://files.pythonhosted.org/packages/32/91/d024616abdba99e83120e07a20658976f6a343646710760c4a51df126029/matplotlib-3.10.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae20801130378b82d647ff5047c07316295b68dc054ca6b3c13519d0ea624285", size = 8789336, upload-time = "2026-04-24T00:12:26.096Z" }, + { url = "https://files.pythonhosted.org/packages/5c/04/030a2f61ef2158f5e4c259487a92ac877732499fb33d871585d89e03c42d/matplotlib-3.10.9-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c63ebcd8b4b169eb2f5c200552ae6b8be8999a005b6b507ed76fb8d7d674fe2", size = 9604602, upload-time = "2026-04-24T00:12:29.052Z" }, + { url = "https://files.pythonhosted.org/packages/fc/c2/541e4d09d87bb6b5830fc28b4c887a9a8cf4e1c6cee698a8c05552ae2003/matplotlib-3.10.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d75d11c949914165976c621b2324f9ef162af7ebf4b057ddf95dd1dba7e5edcf", size = 9670966, upload-time = "2026-04-24T00:12:32.131Z" }, + { url = "https://files.pythonhosted.org/packages/04/a1/4571fc46e7702de8d0c2dc54ad1b2f8e29328dea3ee90831181f7353d93c/matplotlib-3.10.9-cp312-cp312-win_amd64.whl", hash = "sha256:d091f9d758b34aaaaa6331d13574bf01891d903b3dec59bfff458ef7551de5d6", size = 8217462, upload-time = "2026-04-24T00:12:35.226Z" }, + { url = "https://files.pythonhosted.org/packages/4b/d0/2269edb12aa30c13c8bcc9382892e39943ce1d28aab4ec296e0381798e81/matplotlib-3.10.9-cp312-cp312-win_arm64.whl", hash = "sha256:10cc5ce06d10231c36f40e875f3c7e8050362a4ee8f0ee5d29a6b3277d57bb42", size = 8136688, upload-time = "2026-04-24T00:12:37.442Z" }, + { url = "https://files.pythonhosted.org/packages/aa/d3/8d4f6afbecb49fc04e060a57c0fce39ea51cc163a6bd87303ccd698e4fa6/matplotlib-3.10.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b580440f1ff81a0e34122051a3dfabb7e4b7f9e380629929bde0eff9af72165f", size = 8320331, upload-time = "2026-04-24T00:12:39.688Z" }, + { url = "https://files.pythonhosted.org/packages/63/d9/9e14bc7564bf92d5ffa801ae5fac819ce74b925dfb55e3ebde61a3bbad3e/matplotlib-3.10.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:b1b745c489cd1a77a0dc1120a05dc87af9798faebc913601feb8c73d89bf2d1e", size = 8216461, upload-time = "2026-04-24T00:12:42.494Z" }, + { url = "https://files.pythonhosted.org/packages/8a/17/4402d0d14ccf1dfc70932600b68097fbbf9c898a4871d2cbbe79c7801a32/matplotlib-3.10.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8f3bcac1ca5ed000a6f4337d47ba67dfddf37ed6a46c15fd7f014997f7bf865f", size = 8790091, upload-time = "2026-04-24T00:12:44.789Z" }, + { url = "https://files.pythonhosted.org/packages/3e/0b/322aeec06dd9b91411f92028b37d447342770a24392aa4813e317064dad5/matplotlib-3.10.9-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a8d66a55def891c33147ba3ba9bfcabf0b526a43764c818acbb4525e5ed0838", size = 9605027, upload-time = "2026-04-24T00:12:47.583Z" }, + { url = "https://files.pythonhosted.org/packages/74/88/5f13482f55e7b00bcfc09838b093c2456e1379978d2a146844aae05350ad/matplotlib-3.10.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d843374407c4017a6403b59c6c81606773d136f3259d5b6da3131bc814542cc2", size = 9671269, upload-time = "2026-04-24T00:12:50.878Z" }, + { url = "https://files.pythonhosted.org/packages/c5/e0/0840fd2f93da988ec660b8ad1984abe9f25d2aed22a5e394ff1c68c88307/matplotlib-3.10.9-cp313-cp313-win_amd64.whl", hash = "sha256:f4399f64b3e94cd500195490972ae1ee81170df1636fa15364d157d5bdd7b921", size = 8217588, upload-time = "2026-04-24T00:12:53.784Z" }, + { url = "https://files.pythonhosted.org/packages/47/b9/d706d06dd605c49b9f83a2aed8c13e3e5db70697d7a80b7e3d7915de6b17/matplotlib-3.10.9-cp313-cp313-win_arm64.whl", hash = "sha256:ba7b3b8ef09eab7df0e86e9ae086faa433efbfbdb46afcb3aa16aabf779469a8", size = 8136913, upload-time = "2026-04-24T00:12:56.501Z" }, + { url = "https://files.pythonhosted.org/packages/9b/45/6e32d96978264c8ca8c4b1010adb955a1a49cfaf314e212bbc8908f04a61/matplotlib-3.10.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:09218df8a93712bd6ea133e83a153c755448cf7868316c531cffcc43f69d1cc9", size = 8368019, upload-time = "2026-04-24T00:12:58.896Z" }, + { url = "https://files.pythonhosted.org/packages/86/0a/c8e3d3bba245f0f7fc424937f8ff7ef77291a36af3edb97ccd78aa93d84f/matplotlib-3.10.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:82368699727bfb7b0182e1aa13082e3c08e092fa1a25d3e1fd92405bff96f6d4", size = 8264645, upload-time = "2026-04-24T00:13:01.406Z" }, + { url = "https://files.pythonhosted.org/packages/3d/aa/5bf5a14fe4fed73a4209a155606f8096ff797aad89c6c35179026571133e/matplotlib-3.10.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3225f4e1edcb8c86c884ddf79ebe20ecd0a67d30188f279897554ccd8fded4dc", size = 8802194, upload-time = "2026-04-24T00:13:03.702Z" }, + { url = "https://files.pythonhosted.org/packages/dd/5e/b4be852d6bba6fd15893fadf91ff26ae49cb91aac789e95dde9d342e664f/matplotlib-3.10.9-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de2445a0c6690d21b7eb6ce071cebad6d40a2e9bdf10d039074a96ba19797b99", size = 9622684, upload-time = "2026-04-24T00:13:06.647Z" }, + { url = "https://files.pythonhosted.org/packages/4c/3d/ed428c971139112ef730f62770654d609467346d09d4b62617e1afd68a5a/matplotlib-3.10.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:b2b9516251cb89ff618d757daec0e2ed1bf21248013844a853d87ef85ab3081d", size = 9680790, upload-time = "2026-04-24T00:13:10.009Z" }, + { url = "https://files.pythonhosted.org/packages/e7/09/052e884aaf2b985c63cb79f715f1d5b6a3eaa7de78f6a52b9dbc077d5b53/matplotlib-3.10.9-cp313-cp313t-win_amd64.whl", hash = "sha256:e9fae004b941b23ff2edcf1567a857ed77bafc8086ffa258190462328434faf8", size = 8287571, upload-time = "2026-04-24T00:13:13.087Z" }, + { url = "https://files.pythonhosted.org/packages/f4/38/ae27288e788c35a4250491422f3db7750366fc8c97d6f36fbdecfc1f5518/matplotlib-3.10.9-cp313-cp313t-win_arm64.whl", hash = "sha256:6b63d9c7c769b88ab81e10dc86e4e0607cf56817b9f9e6cf24b2a5f1693b8e38", size = 8188292, upload-time = "2026-04-24T00:13:15.546Z" }, + { url = "https://files.pythonhosted.org/packages/2c/2b/0e92ad0ac446633f928a1563db4aa8add407e1924faf0ded5b95b35afb27/matplotlib-3.10.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:1872fb212a05b729e649754a72d5da61d03e0554d76e80303b6f83d1d2c0552b", size = 8293058, upload-time = "2026-04-24T00:13:56.339Z" }, + { url = "https://files.pythonhosted.org/packages/4b/23/74682fd369f5299ceda438fea2a0662e6383b85c9383fb9cdfcf04713e07/matplotlib-3.10.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:985f2238880e2e69093f588f5fe2e46771747febf0649f3cf7f7b7480875317f", size = 8186627, upload-time = "2026-04-24T00:13:58.623Z" }, + { url = "https://files.pythonhosted.org/packages/ca/e8/368aab88f3c4cd8992800f31abfe0670c3e47540ba20a97e9fdbcde594b3/matplotlib-3.10.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6640f75af2c6148293caa0a2b39dd806a492dd66c8a8b04035813e33d0fd2585", size = 8764117, upload-time = "2026-04-24T00:14:01.684Z" }, + { url = "https://files.pythonhosted.org/packages/63/e2/9f66ca6a651a52abfe0d4964ce01439ed34f3f1e119de10ff3a07f403043/matplotlib-3.10.9-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:42fb814efabe95c06c1994d8ab5a8385f43a249e23badd3ba931d4308e5bca20", size = 8304420, upload-time = "2026-04-24T00:14:04.57Z" }, + { url = "https://files.pythonhosted.org/packages/e8/e8/467c03568218792906aa87b5e7bb379b605e056ed0c74fe00c051786d925/matplotlib-3.10.9-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:f76e640a5268850bfda54b5131b1b1941cc685e42c5fa98ed9f2d64038308cba", size = 8197981, upload-time = "2026-04-24T00:14:07.233Z" }, + { url = "https://files.pythonhosted.org/packages/6f/87/afead29192170917537934c6aff4b008c805fff7b1ccea0c79120d96beda/matplotlib-3.10.9-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3fc0364dfbe1d07f6d15c5ebd0c5bf89e126916e5a8667dd4a7a6e84c36653d4", size = 8774002, upload-time = "2026-04-24T00:14:09.816Z" }, +] + +[[package]] +name = "matplotlib" +version = "3.11.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +dependencies = [ + { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "cycler", marker = "python_full_version >= '3.11'" }, + { name = "fonttools", marker = "python_full_version >= '3.11'" }, + { name = "kiwisolver", marker = "python_full_version >= '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging", marker = "python_full_version >= '3.11'" }, + { name = "pillow", marker = "python_full_version >= '3.11'" }, + { name = "pyparsing", marker = "python_full_version >= '3.11'" }, + { name = "python-dateutil", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/1f/24/080c99d223d158d3a8902769269ab6da5b50f7a0e6e072513907e02b7a6c/matplotlib-3.11.0.tar.gz", hash = "sha256:68c0c7be01b30dcca3638934f7f591df73401235cbdbf0d1ab1c71e7db7f8b57", size = 33251176, upload-time = "2026-06-12T02:29:15.508Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ce/a2/78f662f1b18968531f67d3fcde1b7ea8496920bacd4f16ddb5b79d112e46/matplotlib-3.11.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f857524b442f0f36e641868ce2171aafa88cb0bc0644f4e1d8a5df9b32649fef", size = 9436261, upload-time = "2026-06-12T02:27:34.161Z" }, + { url = "https://files.pythonhosted.org/packages/5e/92/044f1de43901310202f4c79acf4f141be53b2ca8d8380e2fcefb3d523a75/matplotlib-3.11.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:57baa92fdc82948ed716eae6d2579d4d6f40965cd8d2f416755b4a72580a3233", size = 9264669, upload-time = "2026-06-12T02:27:37.413Z" }, + { url = "https://files.pythonhosted.org/packages/53/f4/f0b4f9ba7ec14a7af8151f3ad71ecfe3561e6ba38cfab1db3681ba4ca112/matplotlib-3.11.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:630eee0e67d35cce2019a0e670719f4816e3b86aff0fa72729f6c69786fceb45", size = 10021076, upload-time = "2026-06-12T02:27:39.926Z" }, + { url = "https://files.pythonhosted.org/packages/d7/33/4d679c6dcd594a156542080ac907ddccf7b09ca11655c4b28eca8e9ee5da/matplotlib-3.11.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5106c444d0bf966eee2853548c03772af4ab7199118e086c62fbac8ccb07c055", size = 10828999, upload-time = "2026-06-12T02:27:42.433Z" }, + { url = "https://files.pythonhosted.org/packages/07/74/0a3683802037d8cd013144d77c247219b47f2aabace6fdde74faa12bacf7/matplotlib-3.11.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4d7aea652b58e686444079be3376ef546bffa1eee9b9bb9c472b9fcf6cf410d3", size = 10913103, upload-time = "2026-06-12T02:27:44.827Z" }, + { url = "https://files.pythonhosted.org/packages/d0/9f/970fcbf381e82ec66fdf5da8ea76e2e9240f61a24011ce9fd1d42c37ac2d/matplotlib-3.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:70a5b3e9a5dab708c0f039709ae7c68d5b4d254e291ef76492cdba230c8bb5e4", size = 9310945, upload-time = "2026-06-12T02:27:46.867Z" }, + { url = "https://files.pythonhosted.org/packages/14/4e/6e7cfed23611265ded53806852343b5c59339e506e84c474a9b5afc3b249/matplotlib-3.11.0-cp311-cp311-win_arm64.whl", hash = "sha256:3d68266213e73823ac3be90615bab0cf31f88851e114cdb1dd25dacf3b01e1a7", size = 8999304, upload-time = "2026-06-12T02:27:48.798Z" }, + { url = "https://files.pythonhosted.org/packages/da/17/f5276b496c61477a6c4fc5e7401f4bfe1c2e5ef7c6cd67896f2ade3809cb/matplotlib-3.11.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:06b5872e9cf11adc8f589ded3ce11bc3e1061ad498259664fabc1f6615beb918", size = 9449976, upload-time = "2026-06-12T02:27:50.989Z" }, + { url = "https://files.pythonhosted.org/packages/82/34/bdd77418adb2178a1d59f044bd67bfebb115896e91b840b8a197eb3f4f4e/matplotlib-3.11.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0515d495124be3124340e59f164d901ed4484e2246a5b74cfa483cac3b80bd97", size = 9279307, upload-time = "2026-06-12T02:27:53.247Z" }, + { url = "https://files.pythonhosted.org/packages/94/95/7f522393c88313336b20d70fc849555757b2e5febc22b83b3a3f0fd4bce9/matplotlib-3.11.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be5f93a1d21981bfb802ded0d77a0caa92d4342a47d45754fac77e314a506344", size = 10031353, upload-time = "2026-06-12T02:27:55.215Z" }, + { url = "https://files.pythonhosted.org/packages/87/ce/8f25a0e3186aefd61913e7467d1b999465bcd0d0c03ac695c1b26ca559b7/matplotlib-3.11.0-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:41635d7909d19e52e924a521dde6d8f670b0f53ab1d0e8c331fa831554f681d1", size = 10839232, upload-time = "2026-06-12T02:27:57.746Z" }, + { url = "https://files.pythonhosted.org/packages/85/c2/db15da2bbdf9e3ca66df7db8e2c33a1dfed67be24a24d2c878efaaff01d6/matplotlib-3.11.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:94f5000f67ca9faa300863ea17f8bce9175cb67b88bec4bc7780502d53dd7c9e", size = 10923899, upload-time = "2026-06-12T02:28:00.223Z" }, + { url = "https://files.pythonhosted.org/packages/e5/2f/a58a4443a4d052a4ea77557478336aefc26c7981f6408d37adba763aa758/matplotlib-3.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:ac6f1ef39f3d0f9e2463303013094992cdbe0f85f43bc54155bc472b2042768e", size = 9329528, upload-time = "2026-06-12T02:28:02.27Z" }, + { url = "https://files.pythonhosted.org/packages/61/0f/4b669589d47733b97ab9df4b58d6fc1e68acb5ea42a928dc7cbdd6bf5871/matplotlib-3.11.0-cp312-cp312-win_arm64.whl", hash = "sha256:9dd11fb612ce7bc60b1de5b4fc87ff959d22317b5de42aabf392f66f97af22eb", size = 9003413, upload-time = "2026-06-12T02:28:04.49Z" }, + { url = "https://files.pythonhosted.org/packages/55/41/aa47f156b061d14c98b906f76c428507397708ec63ff94f410ae1752b426/matplotlib-3.11.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6ce3b839b34ae1f430b4616893a2945a2999debaa7e94e7e29a2a8bbf286f7b5", size = 9450532, upload-time = "2026-06-12T02:28:06.769Z" }, + { url = "https://files.pythonhosted.org/packages/8c/4f/5a9eb0375e81413953febf8af7b012a6b6357f53438a15c4f5ad86c6bbb5/matplotlib-3.11.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:373db8f91214e8ccaf35ac833cc1dd59dd961e148bbd55dd027141591dde1313", size = 9279760, upload-time = "2026-06-12T02:28:09.152Z" }, + { url = "https://files.pythonhosted.org/packages/a4/c0/1117d53077e3ac3152503a84e9cf7a5c239576805ee71276e80c2aaa7471/matplotlib-3.11.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be152b7570324dc8d01574cc9474dd2d803237acf528bcbb5b211fa347461a09", size = 10031623, upload-time = "2026-06-12T02:28:11.26Z" }, + { url = "https://files.pythonhosted.org/packages/92/7e/e937138daffad65b71bf831a377809dcbc830fb4f31a31e067dc1faa2575/matplotlib-3.11.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:126f256df600652d7e4b394cf3164ff75210a00038f287c95a012a6f58d0e83f", size = 10839372, upload-time = "2026-06-12T02:28:14.102Z" }, + { url = "https://files.pythonhosted.org/packages/1d/c2/438ecc197ffb8023b6b9922915542f2172f5fd45b76703b0b4fc47322243/matplotlib-3.11.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:03acfeddf87b0dddb11b081ef7740ad445a3ca8bcb6b8e3011b08f2cf802b75c", size = 10924099, upload-time = "2026-06-12T02:28:16.383Z" }, + { url = "https://files.pythonhosted.org/packages/40/2e/395883da416f378b3ed2c9f3e843ac477eae1ce731b671b79adaa6f0bacd/matplotlib-3.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:ab3722f04f3ff34c23b5012c5873d2894174e06c3822fcdac3610965a5ac7d06", size = 9329727, upload-time = "2026-06-12T02:28:18.581Z" }, + { url = "https://files.pythonhosted.org/packages/61/82/2c388956abf8bf392dfb5b8917c502f1082df6a941b781ab8c8e5ba2474b/matplotlib-3.11.0-cp313-cp313-win_arm64.whl", hash = "sha256:c945824670fb8915b4ac879e5e61f3c58e0913022f70a0de4c082b17372f8771", size = 9003506, upload-time = "2026-06-12T02:28:20.474Z" }, + { url = "https://files.pythonhosted.org/packages/c8/c1/34454baa44da7975ada82e9aea37105ec47059514dc967d3be14426ba8dc/matplotlib-3.11.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3489c3dc487669b4a980bc3068f87856de7a1564248d3f6c629efb2a58b03f24", size = 9499838, upload-time = "2026-06-12T02:28:22.713Z" }, + { url = "https://files.pythonhosted.org/packages/b1/c3/98fe79a398cf232219f090163a7fa7e6766e9f2e0ad26df54d6f8934d8ee/matplotlib-3.11.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6a98f5476ce784a50ce09998f4ae1e6a9f25043cef8a480c98949902eda74620", size = 9332298, upload-time = "2026-06-12T02:28:24.796Z" }, + { url = "https://files.pythonhosted.org/packages/95/e4/b4b7c33151e74e5c802f3cde1ba807ebfc38401e329b44e215a5888dd76d/matplotlib-3.11.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:565af866fd63e4bd3f987d580afe27c44c2552a3b3305f4ecbb85133601ea6f3", size = 10045491, upload-time = "2026-06-12T02:28:27.141Z" }, + { url = "https://files.pythonhosted.org/packages/71/28/394548efd68354110c1a1be11fe6b6e559e06d1a23da35908a0e316c55a9/matplotlib-3.11.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e6b3e64dea5062c570f04358e2711859f3531b459f29516274fbad889079e4f3", size = 10857059, upload-time = "2026-06-12T02:28:29.222Z" }, + { url = "https://files.pythonhosted.org/packages/c8/44/e7922e6e2a4d63bdfbc9dc4a53e3850ab438d46cf42e6779bb15ec92c948/matplotlib-3.11.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:942b37c5db1899610bd1543ce8e13e4ecff9a4633e7f63bb6aa9205d2644ebd1", size = 10939576, upload-time = "2026-06-12T02:28:31.66Z" }, + { url = "https://files.pythonhosted.org/packages/3d/be/b1ca96003a441d619b727fee21d671fdff7a5ce2f1bb797b2521aa2f679a/matplotlib-3.11.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c08e649a6313e1291e713623b97a38e5bb4aa580b2a100a94a3309bc6b9c8eb3", size = 9379519, upload-time = "2026-06-12T02:28:33.888Z" }, + { url = "https://files.pythonhosted.org/packages/e3/72/4bf3b91821c34596dd6a7bdac5836d94f744144c8208939ef49d8ec43f7e/matplotlib-3.11.0-cp313-cp313t-win_arm64.whl", hash = "sha256:2746cd2c113742ff6ce37a864c5ac5fd7aa644568f445e66166e457ac78e40e0", size = 9055456, upload-time = "2026-06-12T02:28:35.878Z" }, + { url = "https://files.pythonhosted.org/packages/0f/c2/f5da6cd37ed6871f5c9b3c0507ddb69f14d6c36fac4541e4e0c60cb8cdfc/matplotlib-3.11.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:81ae77077a1e16d37a5b61096ccb07c8d90a99b518fa8256b8f21578932f2f62", size = 9434094, upload-time = "2026-06-12T02:29:09.135Z" }, + { url = "https://files.pythonhosted.org/packages/f8/07/56f66906e0f87a0c6d0d0acbd34dbc9432b1931d8f26ef618bd6f92932a9/matplotlib-3.11.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ddef37840695f5eef65f9f070fe2d2f510f584c2156203f9f622a5b0584efffd", size = 9262183, upload-time = "2026-06-12T02:29:11.283Z" }, + { url = "https://files.pythonhosted.org/packages/0c/d8/c4ecab06b7ea36a570c4f3bd2d48d1799fd5d9174470e45c2194199431e7/matplotlib-3.11.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cf662e5ac5707658cb931e19972c4bd99f7b4f8b7bf79d3c821d239fa6b71e64", size = 10015653, upload-time = "2026-06-12T02:29:13.251Z" }, +] + +[[package]] +name = "matplotlib-inline" +version = "0.2.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bd/c0/9f7c9a46090390368a4d7bcb76bb87a4a36c421e4c0792cdb53486ffac7a/matplotlib_inline-0.2.2.tar.gz", hash = "sha256:72f3fe8fce36b70d4a5b612f899090cd0401deddc4ea90e1572b9f4bfb058c79", size = 8150, upload-time = "2026-05-08T17:33:33.49Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/41/09/5b161152e2d90f7b87f781c2e1267494aef9c32498df793f73ad0a0a494a/matplotlib_inline-0.2.2-py3-none-any.whl", hash = "sha256:3c821cf1c209f59fb2d2d64abbf5b23b67bcb2210d663f9918dd851c6da1fcf6", size = 9534, upload-time = "2026-05-08T17:33:32.055Z" }, +] + +[[package]] +name = "mistune" +version = "3.3.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7b/a5/2dab368d6950e6808904dec98f54c7e726ee7be4a0c6afe00e6e011bd52d/mistune-3.3.3.tar.gz", hash = "sha256:c4c6c0c840b8637a2e9b8b6d607eb7c8f00888bf14c754409bcd339e848c2477", size = 115363, upload-time = "2026-07-09T06:18:05.268Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/89/70/b1e4737b84163db5bb1dfde6f216dbfbf32783330a9989c965e121172830/mistune-3.3.3-py3-none-any.whl", hash = "sha256:99de1585e42dcbd826faa9e11a202727a5e202e4e4722a4c69ac1ff615793dd7", size = 63569, upload-time = "2026-07-09T06:18:03.839Z" }, +] + +[[package]] +name = "nbclient" +version = "0.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "nbformat" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/a5/b3bae4b590c0cbcada2c63a34f7580024e834a8ba213e949a2f906705787/nbclient-0.11.0.tar.gz", hash = "sha256:04a134a5b087f2c5887f228aca155db50169b8cd9334dee6942c8e927e56081a", size = 62535, upload-time = "2026-06-05T07:52:41.746Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/36/c9/94d73e5a01c5b926c3fa2496e97d7a8dc28ed5a77c0b2ed712f1a62e6694/nbclient-0.11.0-py3-none-any.whl", hash = "sha256:ef7fa0d59d6e1d41103933d8a445a18d5de860ca6b613b87b8574accdb3c2895", size = 25288, upload-time = "2026-06-05T07:52:40.115Z" }, +] + +[[package]] +name = "nbconvert" +version = "7.17.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "beautifulsoup4" }, + { name = "bleach", extra = ["css"] }, + { name = "defusedxml" }, + { name = "jinja2" }, + { name = "jupyter-core" }, + { name = "jupyterlab-pygments" }, + { name = "markupsafe" }, + { name = "mistune" }, + { name = "nbclient" }, + { name = "nbformat" }, + { name = "packaging" }, + { name = "pandocfilters" }, + { name = "pygments" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/01/b1/708e53fe2e429c103c6e6e159106bcf0357ac41aa4c28772bd8402339051/nbconvert-7.17.1.tar.gz", hash = "sha256:34d0d0a7e73ce3cbab6c5aae8f4f468797280b01fd8bd2ca746da8569eddd7d2", size = 865311, upload-time = "2026-04-08T00:44:14.914Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/67/f8/bb0a9d5f46819c821dc1f004aa2cc29b1d91453297dbf5ff20470f00f193/nbconvert-7.17.1-py3-none-any.whl", hash = "sha256:aa85c087b435e7bf1ffd03319f658e285f2b89eccab33bc1ba7025495ab3e7c8", size = 261927, upload-time = "2026-04-08T00:44:12.845Z" }, +] + +[[package]] +name = "nbformat" +version = "5.10.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "fastjsonschema" }, + { name = "jsonschema" }, + { name = "jupyter-core" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" }, +] + +[[package]] +name = "nest-asyncio2" +version = "1.7.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b4/73/731debf26e27e0a0323d7bda270dc2f634b398e38f040a09da1f4351d0aa/nest_asyncio2-1.7.2.tar.gz", hash = "sha256:1921d70b92cc4612c374928d081552efb59b83d91b2b789d935c665fa01729a8", size = 14743, upload-time = "2026-02-13T00:34:04.386Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c5/3c/3179b85b0e1c3659f0369940200cd6d0fa900e6cefcc7ea0bc6dd0e29ffb/nest_asyncio2-1.7.2-py3-none-any.whl", hash = "sha256:f5dfa702f3f81f6a03857e9a19e2ba578c0946a4ad417b4c50a24d7ba641fe01", size = 7843, upload-time = "2026-02-13T00:34:02.691Z" }, +] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload-time = "2024-02-14T23:35:18.353Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" }, +] + +[[package]] +name = "numba" +version = "0.66.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "llvmlite" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ae/a0/570e3dc53e5602b49108f62a13e529f1eec8bfc7ef37d49c825924dcf546/numba-0.66.0.tar.gz", hash = "sha256:b900e63a0e26c05ea9a6d5a3a5a0a177cb64c5011887bf43edb8c3ed2c38d363", size = 2806181, upload-time = "2026-07-01T23:12:46.36Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2b/48/d139bde40f2359351bfe26ee1b261937f458ac177ab810d4f045ae1c9d92/numba-0.66.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:27951c47e0def9bf8afe580eb961102902e2fd23cb77924b7d9d7cc0f8b444cb", size = 2727368, upload-time = "2026-07-01T23:12:04.282Z" }, + { url = "https://files.pythonhosted.org/packages/36/e4/b780bfa9191410da50ba249cb3248a75014e17f611e72709cbddcb21f42d/numba-0.66.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc408c54b450f41582f4be1608f8981c1dcc44c7f40355cc150dd93015753407", size = 3803554, upload-time = "2026-07-01T23:12:06.379Z" }, + { url = "https://files.pythonhosted.org/packages/1c/b2/a051b96626bdf5c4d8fa6b8d450605c09638d85dc872ab63ef9a67096dca/numba-0.66.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7c14c044c06b453ec3fa7715dfe75425e2ba72c73377a7ffde6d9ec511dfd94c", size = 3510065, upload-time = "2026-07-01T23:12:08.051Z" }, + { url = "https://files.pythonhosted.org/packages/34/01/24dcdc3e919522e2efbd92969c281ff40deb1d5f8a994bcd0057081c158c/numba-0.66.0-cp310-cp310-win_amd64.whl", hash = "sha256:2338cc0d43609fe448930848fd35a5bc688761b986f81b597a6f45cc0f8c9577", size = 2780379, upload-time = "2026-07-01T23:12:09.772Z" }, + { url = "https://files.pythonhosted.org/packages/9e/02/970796b4daa709604cde22e87a7cda9bde473c278ea4a75f59fe38cee47f/numba-0.66.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:bbd531c327557a9004507fa6bff06c53ab51a7a5776b75261bb9cef1efe2b2ea", size = 2727049, upload-time = "2026-07-01T23:12:11.296Z" }, + { url = "https://files.pythonhosted.org/packages/8c/99/33a6ed9c1a0b5e42efa98eb0edf617d61dca576c82625947377b1d4540c9/numba-0.66.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc6629becb21a867d85401ec89f426dd24c484a4193ade8a38309debfd1529ca", size = 3808870, upload-time = "2026-07-01T23:12:12.944Z" }, + { url = "https://files.pythonhosted.org/packages/04/20/8c51126025211659235b8de2866dfa226984ae0c8273461a3cf374716741/numba-0.66.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aac69f3ccb8af100f5913c1241edc9692bad1cdd2508721713f426eb06c9a659", size = 3514498, upload-time = "2026-07-01T23:12:15.307Z" }, + { url = "https://files.pythonhosted.org/packages/5e/c9/9476940bc6d5caf5c0cf2e4c5feecbf01244bbe6f914614082dd7a3e520e/numba-0.66.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb601841d9e02e6237bb6522e36d0741614be3cfe2b482a6f00a41b5ba209443", size = 2780225, upload-time = "2026-07-01T23:12:16.924Z" }, + { url = "https://files.pythonhosted.org/packages/62/a3/70deb7f88461c1cd5d16aa990c2380604102661a427667b8950dcdccc27f/numba-0.66.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:53ca5900b7cab15109796030113a6b28576bae5ad7bb507ad6dd1360ddd81ba4", size = 2727264, upload-time = "2026-07-01T23:12:18.669Z" }, + { url = "https://files.pythonhosted.org/packages/2d/55/25c319845e9a4e08f16611ddbda56a192eb7b6ed13e1a2bff2da272ffb97/numba-0.66.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0999e3ee1b18c48e1fb51d11af35ef59852c7f4f50569c9550c25faef0616ad1", size = 3866252, upload-time = "2026-07-01T23:12:20.429Z" }, + { url = "https://files.pythonhosted.org/packages/71/ef/a82d6fd6bf1b0fe461651e924d3647eeec9ac17f8eee4896264bf7480930/numba-0.66.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:efe0d2d5099790df945e0cb6e1b3104bd965d7bbfac50d62f1d5d1d6ade0825d", size = 3566974, upload-time = "2026-07-01T23:12:22.116Z" }, + { url = "https://files.pythonhosted.org/packages/fc/eb/9e6171e378822ab191c7abcfd3d8cfc8644516f6c7834c22e210e4acc070/numba-0.66.0-cp312-cp312-win_amd64.whl", hash = "sha256:b075a4e7ebc43dc6294f223e2821659656209fd5e0ce53245877c23d66d6e1a9", size = 2797403, upload-time = "2026-07-01T23:12:23.724Z" }, + { url = "https://files.pythonhosted.org/packages/03/52/176c02d005c5c5143cde10a85bbcdcb6236d9e34c3aac089380e0506cd1d/numba-0.66.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:380b2556a2019ccd1e956ae77dd257eaa39403f7520768b626d44b755112785e", size = 2727084, upload-time = "2026-07-01T23:12:25.434Z" }, + { url = "https://files.pythonhosted.org/packages/44/b5/e930010965568fe7f2c6c962fd2849d458cb9f62c3ab7584af8a19a2b40a/numba-0.66.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:939316d5d8619751207b8972a67852b5a7646665298cb4de693cd6bf135152f4", size = 3873663, upload-time = "2026-07-01T23:12:27.308Z" }, + { url = "https://files.pythonhosted.org/packages/d0/ec/5b51457cbe96e4831141d83e892e65191b23a1b78728456c62909d231ace/numba-0.66.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cdf506775d9f02eb92a87bf5c5b1e0d25506fd18cafd769f4ed914a8feac73e7", size = 3573529, upload-time = "2026-07-01T23:12:28.944Z" }, + { url = "https://files.pythonhosted.org/packages/83/7e/cea7710e96913d3c7f2999f16db1b28e6c5be5171cbf40f77f98333a7243/numba-0.66.0-cp313-cp313-win_amd64.whl", hash = "sha256:c5bfe5350284509ab0474390321454c3a8627a188af5b68c910e83df3e2db4a7", size = 2797247, upload-time = "2026-07-01T23:12:30.774Z" }, +] + +[[package]] +name = "numpy" +version = "2.2.6" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, + { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, + { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, + { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, + { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, + { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, + { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, + { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, + { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, + { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, + { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, + { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, + { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, + { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, + { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, + { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, + { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, + { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, + { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, + { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, + { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, + { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, + { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, + { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, + { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, + { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, + { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, + { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, + { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" }, + { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" }, + { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" }, + { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" }, + { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" }, + { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" }, + { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" }, + { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" }, + { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" }, + { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" }, + { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" }, + { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" }, + { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" }, + { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" }, + { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" }, + { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" }, + { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" }, + { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" }, + { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, + { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, + { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, + { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, +] + +[[package]] +name = "numpy" +version = "2.4.6" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +sdist = { url = "https://files.pythonhosted.org/packages/d0/ad/fed0499ce6a338d2a03ebae59cd15093910c8875328855781952abf6c2fe/numpy-2.4.6.tar.gz", hash = "sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda", size = 20735807, upload-time = "2026-05-18T23:37:14.07Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b3/49/ec46835a70be8fa6446c495126ac84fdb28cb2558e1620ffb87a10c8b64c/numpy-2.4.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4", size = 16969194, upload-time = "2026-05-18T23:33:13.503Z" }, + { url = "https://files.pythonhosted.org/packages/0e/0d/f5957185c0ee2f3e12f78715aa9e3b353fd83633316c8532b38faa37e3f6/numpy-2.4.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d", size = 14964111, upload-time = "2026-05-18T23:33:17.795Z" }, + { url = "https://files.pythonhosted.org/packages/ad/40/40a40ee0ddf7ceb782c49af278894b686e586d65d8c1889c8b5da01a3d7d/numpy-2.4.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8", size = 5469159, upload-time = "2026-05-18T23:33:20.654Z" }, + { url = "https://files.pythonhosted.org/packages/63/13/f9a8046535cb21deae82f8d03de9617e08882d274fad2539630761888228/numpy-2.4.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538", size = 6798936, upload-time = "2026-05-18T23:33:22.987Z" }, + { url = "https://files.pythonhosted.org/packages/33/a8/6fa8c1a345a8c85dbb21932c447bee07c30a2c2a3f31e369c0a84b300147/numpy-2.4.6-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47", size = 15966692, upload-time = "2026-05-18T23:33:26.62Z" }, + { url = "https://files.pythonhosted.org/packages/02/03/74fe2a4cb3817d94d86402f2506554130a2f01414e299b5a843e5a8a957f/numpy-2.4.6-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93", size = 16918164, upload-time = "2026-05-18T23:33:29.955Z" }, + { url = "https://files.pythonhosted.org/packages/c5/80/3615be3313f7e7696609bc194b9f0101da809df79e859bdb84e0cd043f46/numpy-2.4.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8", size = 17322877, upload-time = "2026-05-18T23:33:34.724Z" }, + { url = "https://files.pythonhosted.org/packages/ca/ac/a691e0fe2675e370d0e08ff905adc49a1c8830e8cae03efe4477e92cd55d/numpy-2.4.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6", size = 18651487, upload-time = "2026-05-18T23:33:38.217Z" }, + { url = "https://files.pythonhosted.org/packages/15/a7/9bc1cd626d7bf6869bfedf27b91b6ab5dd607758bf8e959d6fa80c6a59cb/numpy-2.4.6-cp311-cp311-win32.whl", hash = "sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8", size = 6233945, upload-time = "2026-05-18T23:33:41.331Z" }, + { url = "https://files.pythonhosted.org/packages/c5/31/7fc6239c12bce7e931463251cca4426c465e1876ba3cc785402ef4dd8f4e/numpy-2.4.6-cp311-cp311-win_amd64.whl", hash = "sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147", size = 12608406, upload-time = "2026-05-18T23:33:44.131Z" }, + { url = "https://files.pythonhosted.org/packages/27/83/140f85a466595a16382996a1bf06b2b54bcd597488921b0c9daaeeda72af/numpy-2.4.6-cp311-cp311-win_arm64.whl", hash = "sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577", size = 10479528, upload-time = "2026-05-18T23:33:50.725Z" }, + { url = "https://files.pythonhosted.org/packages/95/2a/3d7b5ac8aac24feaf9ad7ed58f45b0bbc06d37e4338ae84c9f2298b570f9/numpy-2.4.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1", size = 16689119, upload-time = "2026-05-18T23:33:54.065Z" }, + { url = "https://files.pythonhosted.org/packages/ea/12/92c4c131527599e8288d6918e888d88726f84d805d784b771f32408aeaef/numpy-2.4.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb", size = 14699246, upload-time = "2026-05-18T23:33:57.621Z" }, + { url = "https://files.pythonhosted.org/packages/ad/fe/c0a6b7b2ca128a8fb228575147073b660656734b8ebe4d76c8fd748dcc79/numpy-2.4.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41", size = 5204410, upload-time = "2026-05-18T23:34:00.302Z" }, + { url = "https://files.pythonhosted.org/packages/f3/d4/9770d14ba719432bb90a421bfd443872ed0f70f7264b64bec12ea363d5fd/numpy-2.4.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698", size = 6551240, upload-time = "2026-05-18T23:34:02.852Z" }, + { url = "https://files.pythonhosted.org/packages/c9/c6/50a46a6205feba2343f1d6d17438107c5dc491ed1c736e6ea68689fd906b/numpy-2.4.6-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f", size = 15671012, upload-time = "2026-05-18T23:34:05.485Z" }, + { url = "https://files.pythonhosted.org/packages/99/60/14115e6364fa676c5397c2ad3004e527e9aa487abf5d0706ec81bbd08529/numpy-2.4.6-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853", size = 16645538, upload-time = "2026-05-18T23:34:09.265Z" }, + { url = "https://files.pythonhosted.org/packages/ae/c5/693cbe59e57db94d2231fa519ca3978dc9e19da5a8f088588f5c6e947ff2/numpy-2.4.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a", size = 17020706, upload-time = "2026-05-18T23:34:13.053Z" }, + { url = "https://files.pythonhosted.org/packages/ef/fc/85b7c4eff9b4966ade25c2273cf7e7012e92366c032058653934b37de044/numpy-2.4.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2", size = 18368541, upload-time = "2026-05-18T23:34:17.024Z" }, + { url = "https://files.pythonhosted.org/packages/f6/81/e1b27545deedce7f4a0b348618c6b62d74e36a4dc9ccd42f3eb2f85eee32/numpy-2.4.6-cp312-cp312-win32.whl", hash = "sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45", size = 5962825, upload-time = "2026-05-18T23:34:20.3Z" }, + { url = "https://files.pythonhosted.org/packages/ab/ca/feab00bd44aa5fe1ad2c18f08b4d3bb92e26484b0b1d1443897809ed528c/numpy-2.4.6-cp312-cp312-win_amd64.whl", hash = "sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751", size = 12321687, upload-time = "2026-05-18T23:34:23.095Z" }, + { url = "https://files.pythonhosted.org/packages/63/cf/5a6d34850a39d1093558564f77ee8e8e0bee5061151b8f05a55711001ec7/numpy-2.4.6-cp312-cp312-win_arm64.whl", hash = "sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8", size = 10221482, upload-time = "2026-05-18T23:34:25.876Z" }, + { url = "https://files.pythonhosted.org/packages/fb/82/bdab26d7438c6791ca31b7c024ca37c1eab8b726ba236129005cd4a06e45/numpy-2.4.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0", size = 16684648, upload-time = "2026-05-18T23:34:29.41Z" }, + { url = "https://files.pythonhosted.org/packages/1b/30/a80189bcc7f5e4258b3fbc3968d909d1756f54d023299ecc39ad6fdb9ef8/numpy-2.4.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb", size = 14693902, upload-time = "2026-05-18T23:34:33.013Z" }, + { url = "https://files.pythonhosted.org/packages/97/12/70b5d0d7c15e1ebb8a6a84a8caa1d19e181d84fb58bb6d70aca29099dec1/numpy-2.4.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f", size = 5198992, upload-time = "2026-05-18T23:34:36.132Z" }, + { url = "https://files.pythonhosted.org/packages/ba/8c/ebd2a8f8a83541f8d38cc5667e8c2b69cecfd30da6e45693e8158857d44b/numpy-2.4.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3", size = 6546944, upload-time = "2026-05-18T23:34:38.484Z" }, + { url = "https://files.pythonhosted.org/packages/bb/c5/7b863a97a91671a0338f4253bd3b5a3d3852f0692dae91711c9f4a10e787/numpy-2.4.6-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b", size = 15669392, upload-time = "2026-05-18T23:34:41.257Z" }, + { url = "https://files.pythonhosted.org/packages/a5/9d/3584b9984ca4c047aea75214ce1a4c4c73d849bd71b604264b7f5653f8a8/numpy-2.4.6-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089", size = 16633220, upload-time = "2026-05-18T23:34:45.075Z" }, + { url = "https://files.pythonhosted.org/packages/05/ae/7c67fba23bd98caec7c99261f3a16072ade14813486b0282cb29846de832/numpy-2.4.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a", size = 17020800, upload-time = "2026-05-18T23:34:49.065Z" }, + { url = "https://files.pythonhosted.org/packages/d9/5d/3b6725cb31d983c5e66916f5d36f6d7e5521129e4c4404d64f918292a5b6/numpy-2.4.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605", size = 18357600, upload-time = "2026-05-18T23:34:52.709Z" }, + { url = "https://files.pythonhosted.org/packages/f7/da/2ccc6c2fe8898dee01d90c75c5f5f914a23daf99e3e0f59516a08760c8b5/numpy-2.4.6-cp313-cp313-win32.whl", hash = "sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91", size = 5961134, upload-time = "2026-05-18T23:34:55.618Z" }, + { url = "https://files.pythonhosted.org/packages/b5/cd/9cc4dc876fb065d5c220aae4d5e14826b2715331bb7618ce1fb07a679d99/numpy-2.4.6-cp313-cp313-win_amd64.whl", hash = "sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359", size = 12318598, upload-time = "2026-05-18T23:34:58.928Z" }, + { url = "https://files.pythonhosted.org/packages/39/1e/c0bcba1f8694116485fe28fd1be698c278fcda4141c5b0e53a2aed8b12a8/numpy-2.4.6-cp313-cp313-win_arm64.whl", hash = "sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778", size = 10222272, upload-time = "2026-05-18T23:35:02.167Z" }, + { url = "https://files.pythonhosted.org/packages/63/6d/cc5619247c8f4204e507f5883528372e4ac4bb189e579fb859a12e480b1f/numpy-2.4.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1", size = 14821197, upload-time = "2026-05-18T23:35:05.468Z" }, + { url = "https://files.pythonhosted.org/packages/00/58/f1c39161c87d9e9bed660f1ed4bafc0e403d5ec9650b6dd77aead07d489b/numpy-2.4.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe", size = 5326287, upload-time = "2026-05-18T23:35:08.693Z" }, + { url = "https://files.pythonhosted.org/packages/af/57/3917ab0fd97f271a8694513581b8a36c655f111c446852c302f04ccdb6fc/numpy-2.4.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997", size = 6646763, upload-time = "2026-05-18T23:35:11.459Z" }, + { url = "https://files.pythonhosted.org/packages/eb/0f/037e64c494b67581ae18193d770adef354c41f3f2c8ebf865602d949bf8f/numpy-2.4.6-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20", size = 15728070, upload-time = "2026-05-18T23:35:14.79Z" }, + { url = "https://files.pythonhosted.org/packages/21/a6/5d2bae9c9542eb4df16dc9c46dc79c186e9bad53805dfa5399a6023c6db0/numpy-2.4.6-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d", size = 16681752, upload-time = "2026-05-18T23:35:18.836Z" }, + { url = "https://files.pythonhosted.org/packages/92/14/23d1dfb410ae362cd59ce53e936b1513d545eb40db3949ced632e19a459e/numpy-2.4.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67", size = 17086024, upload-time = "2026-05-18T23:35:22.52Z" }, + { url = "https://files.pythonhosted.org/packages/4b/6e/23595a2c642cdf3bc567877064bdd7f91c8b0038a4453cf2daf7248eafe9/numpy-2.4.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd", size = 18403398, upload-time = "2026-05-18T23:35:26.398Z" }, + { url = "https://files.pythonhosted.org/packages/8a/90/0ac3bc947217e66dec77e7cbc6a1979d1af70b6461b82f620d3bccd5e4c8/numpy-2.4.6-cp313-cp313t-win32.whl", hash = "sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab", size = 6084971, upload-time = "2026-05-18T23:35:29.387Z" }, + { url = "https://files.pythonhosted.org/packages/77/71/5673e351671a1d2bd6063b91b44f70c0affea7d1516fa7a6572941ba4aa1/numpy-2.4.6-cp313-cp313t-win_amd64.whl", hash = "sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75", size = 12458532, upload-time = "2026-05-18T23:35:32.175Z" }, + { url = "https://files.pythonhosted.org/packages/3f/88/19d3503c5046e688f049274b27a3ef3d771152fa80d3ba3d01a3dff61abe/numpy-2.4.6-cp313-cp313t-win_arm64.whl", hash = "sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd", size = 10291881, upload-time = "2026-05-18T23:35:35.465Z" }, + { url = "https://files.pythonhosted.org/packages/de/12/b422cc84439adc0d00de605bf4a308890ae5c26f2c71fbd73e5d08fbb0dd/numpy-2.4.6-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662", size = 16847511, upload-time = "2026-05-18T23:36:50.673Z" }, + { url = "https://files.pythonhosted.org/packages/44/53/f481bef68011740f8849418d82db07230e825013f31f4eef5ba5b805316a/numpy-2.4.6-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7", size = 14889064, upload-time = "2026-05-18T23:36:53.879Z" }, + { url = "https://files.pythonhosted.org/packages/7f/57/42ed575c10ced8af951d426bc4e1f8aff16fd851db33f067036215a7f860/numpy-2.4.6-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f", size = 5394157, upload-time = "2026-05-18T23:36:57.194Z" }, + { url = "https://files.pythonhosted.org/packages/6a/ef/f66cc724fcc36c1e364c67f51ae9146090b8b584f27d58b97fdae3edd737/numpy-2.4.6-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c", size = 6708728, upload-time = "2026-05-18T23:36:59.575Z" }, + { url = "https://files.pythonhosted.org/packages/1a/9c/c531f2293b91265d8b48e9b329f54fdd7ffae73cb4134ea10cca4237e9cc/numpy-2.4.6-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0", size = 15798374, upload-time = "2026-05-18T23:37:02.674Z" }, + { url = "https://files.pythonhosted.org/packages/1a/b0/413077f6b1153ed3cba361401c6783bbad6114804a000cc22eb71c13e190/numpy-2.4.6-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02", size = 16747286, upload-time = "2026-05-18T23:37:06.327Z" }, + { url = "https://files.pythonhosted.org/packages/15/ce/e5ec180bc41812edcd8daeb8639d205622c0e8c02259d8ab25a0201b3c2a/numpy-2.4.6-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73", size = 12504263, upload-time = "2026-05-18T23:37:09.715Z" }, +] + +[[package]] +name = "openpopcon" +version = "2.0.0" +source = { virtual = "." } +dependencies = [ + { name = "matplotlib", version = "3.10.9", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "matplotlib", version = "3.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numba" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pyyaml" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.17.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "scipy", version = "1.18.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, +] + +[package.optional-dependencies] +notebooks = [ + { name = "jupyterlab" }, +] + +[package.metadata] +requires-dist = [ + { name = "jupyterlab", marker = "extra == 'notebooks'" }, + { name = "matplotlib" }, + { name = "numba" }, + { name = "numpy", specifier = ">=2.0" }, + { name = "pyyaml" }, + { name = "scipy" }, +] +provides-extras = ["notebooks"] + +[[package]] +name = "overrides" +version = "7.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/36/86/b585f53236dec60aba864e050778b25045f857e17f6e5ea0ae95fe80edd2/overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a", size = 22812, upload-time = "2024-01-27T21:01:33.423Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49", size = 17832, upload-time = "2024-01-27T21:01:31.393Z" }, +] + +[[package]] +name = "packaging" +version = "26.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/f1/e7a6dd94a8d4a5626c03e4e99c87f241ba9e350cd9e6d75123f992427270/packaging-26.2.tar.gz", hash = "sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661", size = 228134, upload-time = "2026-04-24T20:15:23.917Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/df/b2/87e62e8c3e2f4b32e5fe99e0b86d576da1312593b39f47d8ceef365e95ed/packaging-26.2-py3-none-any.whl", hash = "sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e", size = 100195, upload-time = "2026-04-24T20:15:22.081Z" }, +] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" }, +] + +[[package]] +name = "parso" +version = "0.8.7" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/30/4b/90c937815137d43ce71ba043cd3566221e9df6b9c805f24b5d138c9d40a7/parso-0.8.7.tar.gz", hash = "sha256:eaaac4c9fdd5e9e8852dc778d2d7405897ec510f2a298071453e5e3a07914bb1", size = 401824, upload-time = "2026-05-01T23:13:02.138Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/99/5d/8268b644392ee874ee82a635cd0df1773de230bde356c38de28e298392cc/parso-0.8.7-py2.py3-none-any.whl", hash = "sha256:a8926eb2a1b915486941fdbd31e86a4baf88fe8c210f25f2f35ecec5b574ca1c", size = 107025, upload-time = "2026-05-01T23:12:58.867Z" }, +] + +[[package]] +name = "pexpect" +version = "4.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" }, +] + +[[package]] +name = "pillow" +version = "12.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1c/3d/bb7fca845737cf9d7dbde16ed1843984665ff2e0a518f5db43e77ec540b9/pillow-12.3.0.tar.gz", hash = "sha256:3b8182a766685eaa002637e28b4ec8d6b18819a0c71f579bf0dbaa5830297cce", size = 47025035, upload-time = "2026-07-01T11:56:38.965Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/25/c2/669d88644cddb1485bd9534e63e8cf476c8e51cb3c3a1297677023505c0e/pillow-12.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:6c0016e7b354317c4e9e525b937ac8596c38d2d232b419529b9cd7a1cd46e39a", size = 5392418, upload-time = "2026-07-01T11:53:27.808Z" }, + { url = "https://files.pythonhosted.org/packages/6b/ba/3762f376a2948e3036488d773a146e0ae6ecc2ca03ac20e2615bd0b2ba02/pillow-12.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bcc33feacfaefce60c12fd500a277533bdc02b10a19f7f6d348763d8140bbba7", size = 4785287, upload-time = "2026-07-01T11:53:29.761Z" }, + { url = "https://files.pythonhosted.org/packages/07/50/b5d688cc9c52d4482f3d5bcab6ce20bc2a74a85d2343841c907444a3be2c/pillow-12.3.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5594fc43d548a7ed94949d139aa1341b270f1863f11cfd37f5a6c8b778a6b67f", size = 6253754, upload-time = "2026-07-01T11:53:32.298Z" }, + { url = "https://files.pythonhosted.org/packages/4e/89/36f4cd76cf4baf05c50ababb976249153f18c959171c7f6ba09a6f217260/pillow-12.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f0606c8bf2cdefea14a43530f7657cbbb7ecf1c4222512492ef4a4434a9501ec", size = 6925605, upload-time = "2026-07-01T11:53:34.487Z" }, + { url = "https://files.pythonhosted.org/packages/eb/c0/4de58cf6633b9e3a6061ef4be6fb91fc3c90b812ece886f531e3c523d777/pillow-12.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:85f998ea1848bc6757289e739cfbdda3a04adfd58b02fc018ce54d754a5ce468", size = 6327788, upload-time = "2026-07-01T11:53:36.433Z" }, + { url = "https://files.pythonhosted.org/packages/87/3c/14d53682a19550dbbaf3b598f807d5457646c510805a44c7d7891cd1cd1a/pillow-12.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:25b9b82bb22e6e2b3cd07b39c68b7b862001226cb3dff7130d1cb914121b39ed", size = 7036288, upload-time = "2026-07-01T11:53:38.712Z" }, + { url = "https://files.pythonhosted.org/packages/38/1d/36279e3c77efe034e4cc2b0393ee74ffdb5a62391dacbf9b916154f5f0b8/pillow-12.3.0-cp310-cp310-win32.whl", hash = "sha256:37dc8f7bbb66efe481bb60defacef820c950c24713fb44962ed6aa2a50966de1", size = 6472396, upload-time = "2026-07-01T11:53:40.781Z" }, + { url = "https://files.pythonhosted.org/packages/48/7c/8fa0039574c476d7c6fa57dd7c32a130436877c6ec1e5ce1cc8ec44878c1/pillow-12.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:300557495eb45ebb8aec96c2da9c4be642fbf7cd937278b4013ba894ea8eb0eb", size = 7226887, upload-time = "2026-07-01T11:53:42.764Z" }, + { url = "https://files.pythonhosted.org/packages/fa/17/e324be141d173c1c919428066c3259f21c1b8982e564e01a4a81e96dbdcf/pillow-12.3.0-cp310-cp310-win_arm64.whl", hash = "sha256:514435a37670e3e5e08f3945b68718b6ed329bb84367777e16f9f4dfe1e61a0f", size = 2568039, upload-time = "2026-07-01T11:53:45.372Z" }, + { url = "https://files.pythonhosted.org/packages/fb/c8/0a78b0e02d7ac54bc03e5321c9220da52f0c2ea83b21f7c40e7f3169c502/pillow-12.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:00808c5e14ef63ac5161091d242999076604ff74b883423a11e5d7bbb38bf756", size = 5392415, upload-time = "2026-07-01T11:53:47.162Z" }, + { url = "https://files.pythonhosted.org/packages/b2/5b/a02d30018abd97ced9f5a6c63d28597694a00d066516b9c1c6de45859fc9/pillow-12.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37d6d0a00072fd2948eb22bce7e1475f34569d90c87c59f7a2ec59541b77f7a6", size = 4785266, upload-time = "2026-07-01T11:53:49.079Z" }, + { url = "https://files.pythonhosted.org/packages/c8/98/766667a4be768150a202836acd9fad19c06824ca86c4286d3cf6b274964e/pillow-12.3.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bcb46e2f9feff8d06323983bd83ed00c201fdcab3d74973e7072a889b3979fcd", size = 6263814, upload-time = "2026-07-01T11:53:51.32Z" }, + { url = "https://files.pythonhosted.org/packages/3b/2d/ede717bc1144f63886c21fd349bb95860b0d1a21149ff16f2bb362b612b6/pillow-12.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:23d27a3e0307ec2244cc51e7287b919aa68d097504ebe19df4e76a98a3eea5bd", size = 6934408, upload-time = "2026-07-01T11:53:53.487Z" }, + { url = "https://files.pythonhosted.org/packages/a3/48/9c58b685e69d49c31af6c8eb9012055fab7e665785165c84796e2c73ce72/pillow-12.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:4f883547d4b7f0495ebe7056b0cc2aea76094e7a4abc8e933540f3271df27d9c", size = 6337160, upload-time = "2026-07-01T11:53:55.457Z" }, + { url = "https://files.pythonhosted.org/packages/ff/fa/dc2a5c0ba6df93f67c31d34b808b7ce440b40cdbf96f0b81cde1d1e6fa93/pillow-12.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:236ff70b9312fb68943c703aa842ca6a758abfa45ac187a5e7c1452e96ef72b5", size = 7045172, upload-time = "2026-07-01T11:53:57.736Z" }, + { url = "https://files.pythonhosted.org/packages/86/a5/444817a4d4c4c2417df00513086ca196f388d8f9ef40c2e4ccd1ad1af54b/pillow-12.3.0-cp311-cp311-win32.whl", hash = "sha256:10e41f0fbf1eec8cfd234b8fe17a4caac7c9d0db4c204d3c173a8f9f6ef3232b", size = 6472232, upload-time = "2026-07-01T11:53:59.767Z" }, + { url = "https://files.pythonhosted.org/packages/63/c6/4bad1b18d132a50b27e1365e1ab163616f7a5bb56d330f66f9d1d9d4f9d4/pillow-12.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:8e95e1385e4998ae9694eeaa4730ba5457ff61185b3a55e2e7bea0880aef452a", size = 7233653, upload-time = "2026-07-01T11:54:02.066Z" }, + { url = "https://files.pythonhosted.org/packages/fd/16/00f91ab7760dc842f5aad55217e80fc4a7067a0604535249bc8a2d6d9870/pillow-12.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:ebaea975e03d3141d9d3a507df75c9b3ec90fa9d2ffd07567b3a978d9d790b26", size = 2568195, upload-time = "2026-07-01T11:54:04.622Z" }, + { url = "https://files.pythonhosted.org/packages/37/bf/fb3ebff8ddcb76aac5a01389251bbbb9519922a9b520d8247c1ca864a25d/pillow-12.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ba09209fbe443b4acccebe845d8a138b89a8f4fbaeedd44953490b5315d5e965", size = 5345969, upload-time = "2026-07-01T11:54:06.397Z" }, + { url = "https://files.pythonhosted.org/packages/d8/66/9a386a92561f402389a4fc70c18838bf6d35eb5eb5c6850b4b2dc64f5048/pillow-12.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ffd0c5368496f41b0944be820fcb7a838aa6e623d250b01acf2643939c3f99d7", size = 4780323, upload-time = "2026-07-01T11:54:09.351Z" }, + { url = "https://files.pythonhosted.org/packages/25/27/ac8f99618ffd3dde21db0f4d4b1d2ab00c0880595bfd17df103f7f39fd0c/pillow-12.3.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d9c7f76c0673154f044e9d78c8655fb4213f6ca31a836df48b40fe5d187717b9", size = 6266838, upload-time = "2026-07-01T11:54:11.71Z" }, + { url = "https://files.pythonhosted.org/packages/84/21/a35af28dcc61f37ed850a2d64c65c701321dfbf25085e469d5559360cbbf/pillow-12.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:78cb2c6865a35ab8ff8b75fd122f6033b92a62c82801110e48ddd6c936a45d91", size = 6940830, upload-time = "2026-07-01T11:54:13.732Z" }, + { url = "https://files.pythonhosted.org/packages/eb/51/8b08617af3ad95e33ce6d7dd2c99ed6c8298f7fb131636303956be022e25/pillow-12.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e491916b378fba47242221bb9ead245211b70d504f495d105d17b14a24b4907c", size = 6344383, upload-time = "2026-07-01T11:54:15.756Z" }, + { url = "https://files.pythonhosted.org/packages/1d/72/cf78ac9780bb93c28328f408973845a309d4d145041665f734572ced1b52/pillow-12.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0dd2064cbc55aaec028ef5fbb60fa47bb6c3e7918e07ff17935284b227a9d2df", size = 7052934, upload-time = "2026-07-01T11:54:17.721Z" }, + { url = "https://files.pythonhosted.org/packages/20/20/25e0f4dc178a6bc0696793720055519a0de89e7661dae886992decbd2f81/pillow-12.3.0-cp312-cp312-win32.whl", hash = "sha256:dbce0b29841537a2fa4a214c2bbf14de3587c9680caa9b4e217568472490b28f", size = 6472684, upload-time = "2026-07-01T11:54:19.839Z" }, + { url = "https://files.pythonhosted.org/packages/45/89/da2f7971a317f83d807fdd4065c0af40208e59e692cc43d315a71a0e96d1/pillow-12.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:a2b55dd6b2a4c4b7d87ffa56bdb33fdc5fdb9a462173861a7bc097f17d91cb09", size = 7227137, upload-time = "2026-07-01T11:54:22.025Z" }, + { url = "https://files.pythonhosted.org/packages/de/47/4845a0a6c0dbf1db8456bd9fc791f13c5ced7ced20606d08a0aacfd25b49/pillow-12.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:331b624368d4f1d069149002f25f44bc61c8919ce8ddb3c45bdad8f6e2d89510", size = 2568267, upload-time = "2026-07-01T11:54:24.051Z" }, + { url = "https://files.pythonhosted.org/packages/9d/ac/31fb64e1e7efb5a4b50cd3d92049ba89ac6e4d8d3bb6a74e15048ca3353e/pillow-12.3.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:21900ce7ba264168cd50defae43cd75d25c833ad4ad6e73ffc5596d12e25ac89", size = 4161684, upload-time = "2026-07-01T11:54:25.934Z" }, + { url = "https://files.pythonhosted.org/packages/87/b4/9805e23d2b4d77842b468513841fda254ee42f0289d25088340e4ff46e2d/pillow-12.3.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:4e8c2a84d977f50b9daed6eeaf3baef67d00d5d74d932288f02cb94518ee3ace", size = 4255487, upload-time = "2026-07-01T11:54:27.935Z" }, + { url = "https://files.pythonhosted.org/packages/df/39/ecf519435a200c693fe053a6ee4d835b41cf963a4dfc2551c4e637cb2a71/pillow-12.3.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:ae26d61dfa7a47befdc7572b521024e8745f3d809bd95ca9505a7bba9ef849ec", size = 3696433, upload-time = "2026-07-01T11:54:29.813Z" }, + { url = "https://files.pythonhosted.org/packages/42/92/2fc3ffad878ae8dd5469ec1bc8eb83b71f48e13efdf68f02709003982a32/pillow-12.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7a743ff716f746fc19a9557f60dab1600d4613255f8a7aeb3cdde4db7eb15a66", size = 5345889, upload-time = "2026-07-01T11:54:31.97Z" }, + { url = "https://files.pythonhosted.org/packages/10/76/8803c13605b763d33d156c4678fc77f8443389c0c51c8aef707bb02015f4/pillow-12.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d69141514cc30b774ceea5e3ed3a6635c8d8a96edf664689b890f4089111fb35", size = 4780109, upload-time = "2026-07-01T11:54:34.026Z" }, + { url = "https://files.pythonhosted.org/packages/1f/01/e18aff37cb0b4aac47ac90f016d347a49aca667ef97f190b06ac2aabc928/pillow-12.3.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f7401aebd7f581d7f83a439d87d474999317ee099218e5ad25d125290990ba65", size = 6263736, upload-time = "2026-07-01T11:54:36.131Z" }, + { url = "https://files.pythonhosted.org/packages/f7/62/de5bdd77d935331f4f802edc11e4d82950f642caad6cb2f949837b8560e2/pillow-12.3.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0847a763afefb695bc912d7c131e7e0632d4edc1d8698f58ddabec8e46b8b6d3", size = 6937129, upload-time = "2026-07-01T11:54:38.216Z" }, + { url = "https://files.pythonhosted.org/packages/70/4d/105627a13300c5e0df1d174230b32fd1273062c96f7745fd552b945d1e1d/pillow-12.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:571b9fcb07b97ef3a492028fb3d2dc0993ca23a06138b0315286566d29ef718a", size = 6339562, upload-time = "2026-07-01T11:54:40.354Z" }, + { url = "https://files.pythonhosted.org/packages/6b/1d/f13de01a553988ab895ba1c722e06cf3144d4f57656fd5b81b6d881f1179/pillow-12.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:756c768d0c9c2955feb7a56c37ea24aea2e369f8d36a88da270b6a9f19e62b5e", size = 7049439, upload-time = "2026-07-01T11:54:42.489Z" }, + { url = "https://files.pythonhosted.org/packages/c9/f9/066794cca041b969964f779ee5fa66a9498bbf34248ac39c5d7954e4198f/pillow-12.3.0-cp313-cp313-win32.whl", hash = "sha256:a876864214e136f0eb367788dbd7df045f4806801518e2cfe9e13229cfe06d8f", size = 6473287, upload-time = "2026-07-01T11:54:44.9Z" }, + { url = "https://files.pythonhosted.org/packages/a6/9b/7a58e61d62be561da3a356fe2384d4059a6345fc130e23ef1c36a5b81d24/pillow-12.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:1cca606cd25738df4ed873d5ad46bbdb3d83b5cbca291f6b4ff13a4df6b0bbe8", size = 7239691, upload-time = "2026-07-01T11:54:47.141Z" }, + { url = "https://files.pythonhosted.org/packages/aa/b0/c4ed4f0ef8f8fa5ee8351537db6650bb8189f7e118842978dd6589065692/pillow-12.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:b629de27fda84b42cde7edef0d85f13b958b47f6e9bbcbba9b673c562a89bd8b", size = 2568185, upload-time = "2026-07-01T11:54:49.137Z" }, + { url = "https://files.pythonhosted.org/packages/75/18/2e8b40223153ccbc60df07f9e8928dc0c76202aa4e55ae9f53962b6510d6/pillow-12.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:b3c777e849237620b022f7f297dd67705f9f5cf1685f09f02e46f93e92725468", size = 5302510, upload-time = "2026-07-01T11:56:25.736Z" }, + { url = "https://files.pythonhosted.org/packages/46/3e/51fabf59d5ab801ceab709453d3ab6b180083496579549de4c45ced6528a/pillow-12.3.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:b343699e8308bdc51978310e1c959c584e7869cc8c40780058c87da7781a1e94", size = 4736058, upload-time = "2026-07-01T11:56:28.041Z" }, + { url = "https://files.pythonhosted.org/packages/bf/20/22fe9384b7949e25fb1293bcfc84fb82590ff4ea6b37c95b24d26d793d86/pillow-12.3.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fbd139c8447d25dd750ab79ee274cc5e1fe80fc56340ab10b18a195e1b6eca3e", size = 5237776, upload-time = "2026-07-01T11:56:30.263Z" }, + { url = "https://files.pythonhosted.org/packages/08/14/f6ba68107680ffa74b39985f3f30884e41318fbc4250caa423c79b4788bb/pillow-12.3.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e7e480451b9fa137494bccd3a7d69adbe8ac65a87d97be61e11f1b1050a5bac3", size = 5860358, upload-time = "2026-07-01T11:56:32.68Z" }, + { url = "https://files.pythonhosted.org/packages/36/54/0169bc772ec491108b62f644f8ecf1fe5d8ae5ebafde2ee2142210166903/pillow-12.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:04f01d28a6aaff387bf842a13be313df23ba0597a44f1a976c9feb3c6ff4711a", size = 7231786, upload-time = "2026-07-01T11:56:35.046Z" }, +] + +[[package]] +name = "platformdirs" +version = "4.10.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/47/e4501f49c178ae1d9f4a75073fda4204f52647993f075a9db4d14930e0c5/platformdirs-4.10.0.tar.gz", hash = "sha256:31e761a6a0ca04faf7353ea759bdba55652be214725111e5aac52dfa29d4bef7", size = 31224, upload-time = "2026-05-28T03:32:53.587Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/e6/cd9575ac904136b3cbf7aa7ee819ef86eedb7274e46f230e94ea4342e729/platformdirs-4.10.0-py3-none-any.whl", hash = "sha256:fb516cdb12eb0d857d0cd85a7c57cea4d060bee4578d6cf5a14dfdf8cbf8784a", size = 22743, upload-time = "2026-05-28T03:32:52.175Z" }, +] + +[[package]] +name = "prometheus-client" +version = "0.25.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1b/fb/d9aa83ffe43ce1f19e557c0971d04b90561b0cfd50762aafb01968285553/prometheus_client-0.25.0.tar.gz", hash = "sha256:5e373b75c31afb3c86f1a52fa1ad470c9aace18082d39ec0d2f918d11cc9ba28", size = 86035, upload-time = "2026-04-09T19:53:42.359Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8d/9b/d4b1e644385499c8346fa9b622a3f030dce14cd6ef8a1871c221a17a67e7/prometheus_client-0.25.0-py3-none-any.whl", hash = "sha256:d5aec89e349a6ec230805d0df882f3807f74fd6c1a2fa86864e3c2279059fed1", size = 64154, upload-time = "2026-04-09T19:53:41.324Z" }, +] + +[[package]] +name = "prompt-toolkit" +version = "3.0.52" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "wcwidth" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload-time = "2025-08-27T15:24:02.057Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload-time = "2025-08-27T15:23:59.498Z" }, +] + +[[package]] +name = "psutil" +version = "7.2.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/aa/c6/d1ddf4abb55e93cebc4f2ed8b5d6dbad109ecb8d63748dd2b20ab5e57ebe/psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372", size = 493740, upload-time = "2026-01-28T18:14:54.428Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/51/08/510cbdb69c25a96f4ae523f733cdc963ae654904e8db864c07585ef99875/psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b", size = 130595, upload-time = "2026-01-28T18:14:57.293Z" }, + { url = "https://files.pythonhosted.org/packages/d6/f5/97baea3fe7a5a9af7436301f85490905379b1c6f2dd51fe3ecf24b4c5fbf/psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea", size = 131082, upload-time = "2026-01-28T18:14:59.732Z" }, + { url = "https://files.pythonhosted.org/packages/37/d6/246513fbf9fa174af531f28412297dd05241d97a75911ac8febefa1a53c6/psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63", size = 181476, upload-time = "2026-01-28T18:15:01.884Z" }, + { url = "https://files.pythonhosted.org/packages/b8/b5/9182c9af3836cca61696dabe4fd1304e17bc56cb62f17439e1154f225dd3/psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312", size = 184062, upload-time = "2026-01-28T18:15:04.436Z" }, + { url = "https://files.pythonhosted.org/packages/16/ba/0756dca669f5a9300d0cbcbfae9a4c30e446dfc7440ffe43ded5724bfd93/psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b", size = 139893, upload-time = "2026-01-28T18:15:06.378Z" }, + { url = "https://files.pythonhosted.org/packages/1c/61/8fa0e26f33623b49949346de05ec1ddaad02ed8ba64af45f40a147dbfa97/psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9", size = 135589, upload-time = "2026-01-28T18:15:08.03Z" }, + { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" }, + { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" }, + { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" }, + { url = "https://files.pythonhosted.org/packages/63/65/37648c0c158dc222aba51c089eb3bdfa238e621674dc42d48706e639204f/psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e", size = 156997, upload-time = "2026-01-28T18:15:27.794Z" }, + { url = "https://files.pythonhosted.org/packages/8e/13/125093eadae863ce03c6ffdbae9929430d116a246ef69866dad94da3bfbc/psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8", size = 148972, upload-time = "2026-01-28T18:15:29.342Z" }, + { url = "https://files.pythonhosted.org/packages/04/78/0acd37ca84ce3ddffaa92ef0f571e073faa6d8ff1f0559ab1272188ea2be/psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc", size = 148266, upload-time = "2026-01-28T18:15:31.597Z" }, + { url = "https://files.pythonhosted.org/packages/b4/90/e2159492b5426be0c1fef7acba807a03511f97c5f86b3caeda6ad92351a7/psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988", size = 137737, upload-time = "2026-01-28T18:15:33.849Z" }, + { url = "https://files.pythonhosted.org/packages/8c/c7/7bb2e321574b10df20cbde462a94e2b71d05f9bbda251ef27d104668306a/psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee", size = 134617, upload-time = "2026-01-28T18:15:36.514Z" }, +] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload-time = "2020-12-28T15:15:30.155Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload-time = "2020-12-28T15:15:28.35Z" }, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload-time = "2024-07-21T12:58:21.801Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" }, +] + +[[package]] +name = "pycparser" +version = "3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1b/7d/92392ff7815c21062bea51aa7b87d45576f649f16458d78b7cf94b9ab2e6/pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29", size = 103492, upload-time = "2026-01-21T14:26:51.89Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0c/c3/44f3fbbfa403ea2a7c779186dc20772604442dde72947e7d01069cbe98e3/pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992", size = 48172, upload-time = "2026-01-21T14:26:50.693Z" }, +] + +[[package]] +name = "pygments" +version = "2.20.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c3/b2/bc9c9196916376152d655522fdcebac55e66de6603a76a02bca1b6414f6c/pygments-2.20.0.tar.gz", hash = "sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f", size = 4955991, upload-time = "2026-03-29T13:29:33.898Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl", hash = "sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176", size = 1231151, upload-time = "2026-03-29T13:29:30.038Z" }, +] + +[[package]] +name = "pyparsing" +version = "3.3.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f3/91/9c6ee907786a473bf81c5f53cf703ba0957b23ab84c264080fb5a450416f/pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc", size = 6851574, upload-time = "2026-01-21T03:57:59.36Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d", size = 122781, upload-time = "2026-01-21T03:57:55.912Z" }, +] + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" }, +] + +[[package]] +name = "python-json-logger" +version = "4.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f7/ff/3cc9165fd44106973cd7ac9facb674a65ed853494592541d339bdc9a30eb/python_json_logger-4.1.0.tar.gz", hash = "sha256:b396b9e3ed782b09ff9d6e4f1683d46c83ad0d35d2e407c09a9ebbf038f88195", size = 17573, upload-time = "2026-03-29T04:39:56.805Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/27/be/0631a861af4d1c875f096c07d34e9a63639560a717130e7a87cbc82b7e3f/python_json_logger-4.1.0-py3-none-any.whl", hash = "sha256:132994765cf75bf44554be9aa49b06ef2345d23661a96720262716438141b6b2", size = 15021, upload-time = "2026-03-29T04:39:55.266Z" }, +] + +[[package]] +name = "pywinpty" +version = "3.0.5" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/ef/2d27f30c59a67be7025b2d7858c8c2d282b74d66544b2384730b82de74fd/pywinpty-3.0.5.tar.gz", hash = "sha256:61db0db063de9865adbea66db294628f8577f608d9764a4c7d3384eeacc4e81b", size = 16223484, upload-time = "2026-06-11T00:11:58.93Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/89/ff/8bd91d4502b48bee0459bc912806fa512111905ab97d317e7cb1201b3542/pywinpty-3.0.5-cp310-cp310-win_amd64.whl", hash = "sha256:b467dcad72365bc2205ed8b6e694e817d71de269d46e56cfe267dfa9d3d30e1b", size = 2092426, upload-time = "2026-06-10T23:40:23.292Z" }, + { url = "https://files.pythonhosted.org/packages/00/d2/dee13e67af2300a080dea30d4da8fdb05133a7eebb39171111f0530f7e88/pywinpty-3.0.5-cp310-cp310-win_arm64.whl", hash = "sha256:7dc4046ea8e4d7f0a16dae8dfcaeeda6df7ca3a9330444d2ba5bb96138fe0a91", size = 818083, upload-time = "2026-06-10T23:42:04.203Z" }, + { url = "https://files.pythonhosted.org/packages/b0/5c/31feb3dd82d1b33ae0bd09ca601edb993d9da1b7f0226b3336d4b4c39e1e/pywinpty-3.0.5-cp311-cp311-win_amd64.whl", hash = "sha256:af7a8720c78776ddd6259b71dd567944f766a6cd67f8d2887fbc4973967bacda", size = 2092466, upload-time = "2026-06-10T23:44:24.453Z" }, + { url = "https://files.pythonhosted.org/packages/ee/fe/fe23e2229ffec0c10190cef5964f5c9b2dba179d23b69ae537b7ea90bcab/pywinpty-3.0.5-cp311-cp311-win_arm64.whl", hash = "sha256:c2406f54f699eab75953fb75ce805f2ae55a33a957cd070890abd454fb4b7680", size = 818395, upload-time = "2026-06-10T23:41:56.93Z" }, + { url = "https://files.pythonhosted.org/packages/45/34/942cc95ca4e26489875aa8a95192766247a687379ec29543eebe73ec945f/pywinpty-3.0.5-cp312-cp312-win_amd64.whl", hash = "sha256:d62946adf14b15b54c0b8d785f93fe18b04da23f4ad59e2e8c4612646e9abd23", size = 2090915, upload-time = "2026-06-10T23:43:14.98Z" }, + { url = "https://files.pythonhosted.org/packages/6a/70/5b9053004844139ea8bd86209c57ade12b134b2782f383a095784c8531ec/pywinpty-3.0.5-cp312-cp312-win_arm64.whl", hash = "sha256:e9391c05fbfa7a992a97e831fc6849887b4014a614192e3d984a7ca59592b376", size = 815934, upload-time = "2026-06-10T23:41:42.384Z" }, + { url = "https://files.pythonhosted.org/packages/b9/f4/2a464b9893cceb3b3f416356e94fdc3e1bca9476993927e4e6d99fe95382/pywinpty-3.0.5-cp313-cp313-win_amd64.whl", hash = "sha256:48db1b0ad9d0a1b81dcaaa7163a99a7808deaceb0c1b2344716dc1fc090c3c4c", size = 2090471, upload-time = "2026-06-10T23:42:11.071Z" }, + { url = "https://files.pythonhosted.org/packages/3c/2c/a138491a0afbdb50eb79395577bd326d4b0fbde7209417d1a8087ff2493a/pywinpty-3.0.5-cp313-cp313-win_arm64.whl", hash = "sha256:2c6008fb2d3774b48693b2fcb7f2cc317ade9dc581289a964ffeeaf81307c9b5", size = 815518, upload-time = "2026-06-10T23:42:02.363Z" }, + { url = "https://files.pythonhosted.org/packages/6f/15/54400049a380582acd1282665c70fcf11e0bd3713679aca78e24c3aae738/pywinpty-3.0.5-cp313-cp313t-win_amd64.whl", hash = "sha256:22ce1b780d89821cc52daf6eac0708af22d93d000ce9c7c07e37489db8594598", size = 2089920, upload-time = "2026-06-10T23:44:13.395Z" }, + { url = "https://files.pythonhosted.org/packages/94/0c/6f24f3c0799f502259b24bdf841a99ad2b0d59df5c2525b4e2a286d14be2/pywinpty-3.0.5-cp313-cp313t-win_arm64.whl", hash = "sha256:9c2919a81bc5cfb09b86fc5a002112b2de95ca4304a07413cbeeb746a1307a5c", size = 814520, upload-time = "2026-06-10T23:43:28.588Z" }, +] + +[[package]] +name = "pyyaml" +version = "6.0.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/a0/39350dd17dd6d6c6507025c0e53aef67a9293a6d37d3511f23ea510d5800/pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b", size = 184227, upload-time = "2025-09-25T21:31:46.04Z" }, + { url = "https://files.pythonhosted.org/packages/05/14/52d505b5c59ce73244f59c7a50ecf47093ce4765f116cdb98286a71eeca2/pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956", size = 174019, upload-time = "2025-09-25T21:31:47.706Z" }, + { url = "https://files.pythonhosted.org/packages/43/f7/0e6a5ae5599c838c696adb4e6330a59f463265bfa1e116cfd1fbb0abaaae/pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8", size = 740646, upload-time = "2025-09-25T21:31:49.21Z" }, + { url = "https://files.pythonhosted.org/packages/2f/3a/61b9db1d28f00f8fd0ae760459a5c4bf1b941baf714e207b6eb0657d2578/pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198", size = 840793, upload-time = "2025-09-25T21:31:50.735Z" }, + { url = "https://files.pythonhosted.org/packages/7a/1e/7acc4f0e74c4b3d9531e24739e0ab832a5edf40e64fbae1a9c01941cabd7/pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b", size = 770293, upload-time = "2025-09-25T21:31:51.828Z" }, + { url = "https://files.pythonhosted.org/packages/8b/ef/abd085f06853af0cd59fa5f913d61a8eab65d7639ff2a658d18a25d6a89d/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0", size = 732872, upload-time = "2025-09-25T21:31:53.282Z" }, + { url = "https://files.pythonhosted.org/packages/1f/15/2bc9c8faf6450a8b3c9fc5448ed869c599c0a74ba2669772b1f3a0040180/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69", size = 758828, upload-time = "2025-09-25T21:31:54.807Z" }, + { url = "https://files.pythonhosted.org/packages/a3/00/531e92e88c00f4333ce359e50c19b8d1de9fe8d581b1534e35ccfbc5f393/pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e", size = 142415, upload-time = "2025-09-25T21:31:55.885Z" }, + { url = "https://files.pythonhosted.org/packages/2a/fa/926c003379b19fca39dd4634818b00dec6c62d87faf628d1394e137354d4/pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c", size = 158561, upload-time = "2025-09-25T21:31:57.406Z" }, + { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" }, + { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" }, + { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" }, + { url = "https://files.pythonhosted.org/packages/10/cb/16c3f2cf3266edd25aaa00d6c4350381c8b012ed6f5276675b9eba8d9ff4/pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00", size = 882114, upload-time = "2025-09-25T21:32:03.376Z" }, + { url = "https://files.pythonhosted.org/packages/71/60/917329f640924b18ff085ab889a11c763e0b573da888e8404ff486657602/pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d", size = 806638, upload-time = "2025-09-25T21:32:04.553Z" }, + { url = "https://files.pythonhosted.org/packages/dd/6f/529b0f316a9fd167281a6c3826b5583e6192dba792dd55e3203d3f8e655a/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a", size = 767463, upload-time = "2025-09-25T21:32:06.152Z" }, + { url = "https://files.pythonhosted.org/packages/f2/6a/b627b4e0c1dd03718543519ffb2f1deea4a1e6d42fbab8021936a4d22589/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4", size = 794986, upload-time = "2025-09-25T21:32:07.367Z" }, + { url = "https://files.pythonhosted.org/packages/45/91/47a6e1c42d9ee337c4839208f30d9f09caa9f720ec7582917b264defc875/pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b", size = 142543, upload-time = "2025-09-25T21:32:08.95Z" }, + { url = "https://files.pythonhosted.org/packages/da/e3/ea007450a105ae919a72393cb06f122f288ef60bba2dc64b26e2646fa315/pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf", size = 158763, upload-time = "2025-09-25T21:32:09.96Z" }, + { url = "https://files.pythonhosted.org/packages/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" }, + { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" }, + { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" }, + { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" }, + { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" }, + { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" }, + { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" }, + { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" }, + { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" }, + { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" }, + { url = "https://files.pythonhosted.org/packages/d1/11/0fd08f8192109f7169db964b5707a2f1e8b745d4e239b784a5a1dd80d1db/pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8", size = 181669, upload-time = "2025-09-25T21:32:23.673Z" }, + { url = "https://files.pythonhosted.org/packages/b1/16/95309993f1d3748cd644e02e38b75d50cbc0d9561d21f390a76242ce073f/pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1", size = 173252, upload-time = "2025-09-25T21:32:25.149Z" }, + { url = "https://files.pythonhosted.org/packages/50/31/b20f376d3f810b9b2371e72ef5adb33879b25edb7a6d072cb7ca0c486398/pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c", size = 767081, upload-time = "2025-09-25T21:32:26.575Z" }, + { url = "https://files.pythonhosted.org/packages/49/1e/a55ca81e949270d5d4432fbbd19dfea5321eda7c41a849d443dc92fd1ff7/pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5", size = 841159, upload-time = "2025-09-25T21:32:27.727Z" }, + { url = "https://files.pythonhosted.org/packages/74/27/e5b8f34d02d9995b80abcef563ea1f8b56d20134d8f4e5e81733b1feceb2/pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6", size = 801626, upload-time = "2025-09-25T21:32:28.878Z" }, + { url = "https://files.pythonhosted.org/packages/f9/11/ba845c23988798f40e52ba45f34849aa8a1f2d4af4b798588010792ebad6/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6", size = 753613, upload-time = "2025-09-25T21:32:30.178Z" }, + { url = "https://files.pythonhosted.org/packages/3d/e0/7966e1a7bfc0a45bf0a7fb6b98ea03fc9b8d84fa7f2229e9659680b69ee3/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be", size = 794115, upload-time = "2025-09-25T21:32:31.353Z" }, + { url = "https://files.pythonhosted.org/packages/de/94/980b50a6531b3019e45ddeada0626d45fa85cbe22300844a7983285bed3b/pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26", size = 137427, upload-time = "2025-09-25T21:32:32.58Z" }, + { url = "https://files.pythonhosted.org/packages/97/c9/39d5b874e8b28845e4ec2202b5da735d0199dbe5b8fb85f91398814a9a46/pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c", size = 154090, upload-time = "2025-09-25T21:32:33.659Z" }, + { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" }, +] + +[[package]] +name = "pyzmq" +version = "27.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi", marker = "implementation_name == 'pypy'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/67/b9/52aa9ec2867528b54f1e60846728d8b4d84726630874fee3a91e66c7df81/pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4", size = 1329850, upload-time = "2025-09-08T23:07:26.274Z" }, + { url = "https://files.pythonhosted.org/packages/99/64/5653e7b7425b169f994835a2b2abf9486264401fdef18df91ddae47ce2cc/pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556", size = 906380, upload-time = "2025-09-08T23:07:29.78Z" }, + { url = "https://files.pythonhosted.org/packages/73/78/7d713284dbe022f6440e391bd1f3c48d9185673878034cfb3939cdf333b2/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b", size = 666421, upload-time = "2025-09-08T23:07:31.263Z" }, + { url = "https://files.pythonhosted.org/packages/30/76/8f099f9d6482450428b17c4d6b241281af7ce6a9de8149ca8c1c649f6792/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e", size = 854149, upload-time = "2025-09-08T23:07:33.17Z" }, + { url = "https://files.pythonhosted.org/packages/59/f0/37fbfff06c68016019043897e4c969ceab18bde46cd2aca89821fcf4fb2e/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526", size = 1655070, upload-time = "2025-09-08T23:07:35.205Z" }, + { url = "https://files.pythonhosted.org/packages/47/14/7254be73f7a8edc3587609554fcaa7bfd30649bf89cd260e4487ca70fdaa/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1", size = 2033441, upload-time = "2025-09-08T23:07:37.432Z" }, + { url = "https://files.pythonhosted.org/packages/22/dc/49f2be26c6f86f347e796a4d99b19167fc94503f0af3fd010ad262158822/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386", size = 1891529, upload-time = "2025-09-08T23:07:39.047Z" }, + { url = "https://files.pythonhosted.org/packages/a3/3e/154fb963ae25be70c0064ce97776c937ecc7d8b0259f22858154a9999769/pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda", size = 567276, upload-time = "2025-09-08T23:07:40.695Z" }, + { url = "https://files.pythonhosted.org/packages/62/b2/f4ab56c8c595abcb26b2be5fd9fa9e6899c1e5ad54964e93ae8bb35482be/pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f", size = 632208, upload-time = "2025-09-08T23:07:42.298Z" }, + { url = "https://files.pythonhosted.org/packages/3b/e3/be2cc7ab8332bdac0522fdb64c17b1b6241a795bee02e0196636ec5beb79/pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32", size = 559766, upload-time = "2025-09-08T23:07:43.869Z" }, + { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" }, + { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" }, + { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" }, + { url = "https://files.pythonhosted.org/packages/b1/c4/2a6fe5111a01005fc7af3878259ce17684fabb8852815eda6225620f3c59/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e", size = 857038, upload-time = "2025-09-08T23:07:51.234Z" }, + { url = "https://files.pythonhosted.org/packages/cb/eb/bfdcb41d0db9cd233d6fb22dc131583774135505ada800ebf14dfb0a7c40/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e", size = 1657531, upload-time = "2025-09-08T23:07:52.795Z" }, + { url = "https://files.pythonhosted.org/packages/ab/21/e3180ca269ed4a0de5c34417dfe71a8ae80421198be83ee619a8a485b0c7/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2", size = 2034786, upload-time = "2025-09-08T23:07:55.047Z" }, + { url = "https://files.pythonhosted.org/packages/3b/b1/5e21d0b517434b7f33588ff76c177c5a167858cc38ef740608898cd329f2/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394", size = 1894220, upload-time = "2025-09-08T23:07:57.172Z" }, + { url = "https://files.pythonhosted.org/packages/03/f2/44913a6ff6941905efc24a1acf3d3cb6146b636c546c7406c38c49c403d4/pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f", size = 567155, upload-time = "2025-09-08T23:07:59.05Z" }, + { url = "https://files.pythonhosted.org/packages/23/6d/d8d92a0eb270a925c9b4dd039c0b4dc10abc2fcbc48331788824ef113935/pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97", size = 633428, upload-time = "2025-09-08T23:08:00.663Z" }, + { url = "https://files.pythonhosted.org/packages/ae/14/01afebc96c5abbbd713ecfc7469cfb1bc801c819a74ed5c9fad9a48801cb/pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07", size = 559497, upload-time = "2025-09-08T23:08:02.15Z" }, + { url = "https://files.pythonhosted.org/packages/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload-time = "2025-09-08T23:08:03.807Z" }, + { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload-time = "2025-09-08T23:08:05.301Z" }, + { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload-time = "2025-09-08T23:08:06.828Z" }, + { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload-time = "2025-09-08T23:08:08.396Z" }, + { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload-time = "2025-09-08T23:08:09.989Z" }, + { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload-time = "2025-09-08T23:08:11.907Z" }, + { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload-time = "2025-09-08T23:08:13.513Z" }, + { url = "https://files.pythonhosted.org/packages/e6/2f/104c0a3c778d7c2ab8190e9db4f62f0b6957b53c9d87db77c284b69f33ea/pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd", size = 559184, upload-time = "2025-09-08T23:08:15.163Z" }, + { url = "https://files.pythonhosted.org/packages/fc/7f/a21b20d577e4100c6a41795842028235998a643b1ad406a6d4163ea8f53e/pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf", size = 619480, upload-time = "2025-09-08T23:08:17.192Z" }, + { url = "https://files.pythonhosted.org/packages/78/c2/c012beae5f76b72f007a9e91ee9401cb88c51d0f83c6257a03e785c81cc2/pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f", size = 552993, upload-time = "2025-09-08T23:08:18.926Z" }, + { url = "https://files.pythonhosted.org/packages/60/cb/84a13459c51da6cec1b7b1dc1a47e6db6da50b77ad7fd9c145842750a011/pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5", size = 1122436, upload-time = "2025-09-08T23:08:20.801Z" }, + { url = "https://files.pythonhosted.org/packages/dc/b6/94414759a69a26c3dd674570a81813c46a078767d931a6c70ad29fc585cb/pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6", size = 1156301, upload-time = "2025-09-08T23:08:22.47Z" }, + { url = "https://files.pythonhosted.org/packages/a5/ad/15906493fd40c316377fd8a8f6b1f93104f97a752667763c9b9c1b71d42d/pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7", size = 1341197, upload-time = "2025-09-08T23:08:24.286Z" }, + { url = "https://files.pythonhosted.org/packages/14/1d/d343f3ce13db53a54cb8946594e567410b2125394dafcc0268d8dda027e0/pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05", size = 897275, upload-time = "2025-09-08T23:08:26.063Z" }, + { url = "https://files.pythonhosted.org/packages/69/2d/d83dd6d7ca929a2fc67d2c3005415cdf322af7751d773524809f9e585129/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9", size = 660469, upload-time = "2025-09-08T23:08:27.623Z" }, + { url = "https://files.pythonhosted.org/packages/3e/cd/9822a7af117f4bc0f1952dbe9ef8358eb50a24928efd5edf54210b850259/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128", size = 847961, upload-time = "2025-09-08T23:08:29.672Z" }, + { url = "https://files.pythonhosted.org/packages/9a/12/f003e824a19ed73be15542f172fd0ec4ad0b60cf37436652c93b9df7c585/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39", size = 1650282, upload-time = "2025-09-08T23:08:31.349Z" }, + { url = "https://files.pythonhosted.org/packages/d5/4a/e82d788ed58e9a23995cee70dbc20c9aded3d13a92d30d57ec2291f1e8a3/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97", size = 2024468, upload-time = "2025-09-08T23:08:33.543Z" }, + { url = "https://files.pythonhosted.org/packages/d9/94/2da0a60841f757481e402b34bf4c8bf57fa54a5466b965de791b1e6f747d/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db", size = 1885394, upload-time = "2025-09-08T23:08:35.51Z" }, + { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" }, + { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" }, + { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" }, + { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" }, + { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" }, + { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" }, + { url = "https://files.pythonhosted.org/packages/d1/db/5c4d6807434751e3f21231bee98109aa57b9b9b55e058e450d0aef59b70f/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74", size = 747371, upload-time = "2025-09-08T23:09:45.575Z" }, + { url = "https://files.pythonhosted.org/packages/26/af/78ce193dbf03567eb8c0dc30e3df2b9e56f12a670bf7eb20f9fb532c7e8a/pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba", size = 544862, upload-time = "2025-09-08T23:09:47.448Z" }, + { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" }, + { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" }, + { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" }, + { url = "https://files.pythonhosted.org/packages/a1/cf/f2b3784d536250ffd4be70e049f3b60981235d70c6e8ce7e3ef21e1adb25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271", size = 747371, upload-time = "2025-09-08T23:09:54.563Z" }, + { url = "https://files.pythonhosted.org/packages/01/1b/5dbe84eefc86f48473947e2f41711aded97eecef1231f4558f1f02713c12/pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355", size = 544862, upload-time = "2025-09-08T23:09:56.509Z" }, +] + +[[package]] +name = "referencing" +version = "0.37.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "rpds-py", version = "0.30.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "rpds-py", version = "2026.6.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" }, +] + +[[package]] +name = "requests" +version = "2.34.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "charset-normalizer" }, + { name = "idna" }, + { name = "urllib3" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ac/c3/e2a2b89f2d3e2179abd6d00ebd70bff6273f37fb3e0cc209f48b39d00cbf/requests-2.34.2.tar.gz", hash = "sha256:f288924cae4e29463698d6d60bc6a4da69c89185ad1e0bcc4104f584e960b9ed", size = 142856, upload-time = "2026-05-14T19:25:27.735Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a0/f4/c67b0b3f1b9245e8d266f0f112c500d50e5b4e83cb6f3b71b6528104182a/requests-2.34.2-py3-none-any.whl", hash = "sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0", size = 73075, upload-time = "2026-05-14T19:25:26.443Z" }, +] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload-time = "2021-05-12T16:37:54.178Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload-time = "2021-05-12T16:37:52.536Z" }, +] + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload-time = "2019-10-28T16:00:19.144Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload-time = "2019-10-28T16:00:13.976Z" }, +] + +[[package]] +name = "rfc3987-syntax" +version = "1.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "lark" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2c/06/37c1a5557acf449e8e406a830a05bf885ac47d33270aec454ef78675008d/rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d", size = 14239, upload-time = "2025-07-18T01:05:05.015Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7e/71/44ce230e1b7fadd372515a97e32a83011f906ddded8d03e3c6aafbdedbb7/rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f", size = 8046, upload-time = "2025-07-18T01:05:03.843Z" }, +] + +[[package]] +name = "rpds-py" +version = "0.30.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/06/0c/0c411a0ec64ccb6d104dcabe0e713e05e153a9a2c3c2bd2b32ce412166fe/rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288", size = 370490, upload-time = "2025-11-30T20:21:33.256Z" }, + { url = "https://files.pythonhosted.org/packages/19/6a/4ba3d0fb7297ebae71171822554abe48d7cab29c28b8f9f2c04b79988c05/rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00", size = 359751, upload-time = "2025-11-30T20:21:34.591Z" }, + { url = "https://files.pythonhosted.org/packages/cd/7c/e4933565ef7f7a0818985d87c15d9d273f1a649afa6a52ea35ad011195ea/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6", size = 389696, upload-time = "2025-11-30T20:21:36.122Z" }, + { url = "https://files.pythonhosted.org/packages/5e/01/6271a2511ad0815f00f7ed4390cf2567bec1d4b1da39e2c27a41e6e3b4de/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7", size = 403136, upload-time = "2025-11-30T20:21:37.728Z" }, + { url = "https://files.pythonhosted.org/packages/55/64/c857eb7cd7541e9b4eee9d49c196e833128a55b89a9850a9c9ac33ccf897/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324", size = 524699, upload-time = "2025-11-30T20:21:38.92Z" }, + { url = "https://files.pythonhosted.org/packages/9c/ed/94816543404078af9ab26159c44f9e98e20fe47e2126d5d32c9d9948d10a/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df", size = 412022, upload-time = "2025-11-30T20:21:40.407Z" }, + { url = "https://files.pythonhosted.org/packages/61/b5/707f6cf0066a6412aacc11d17920ea2e19e5b2f04081c64526eb35b5c6e7/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3", size = 390522, upload-time = "2025-11-30T20:21:42.17Z" }, + { url = "https://files.pythonhosted.org/packages/13/4e/57a85fda37a229ff4226f8cbcf09f2a455d1ed20e802ce5b2b4a7f5ed053/rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221", size = 404579, upload-time = "2025-11-30T20:21:43.769Z" }, + { url = "https://files.pythonhosted.org/packages/f9/da/c9339293513ec680a721e0e16bf2bac3db6e5d7e922488de471308349bba/rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7", size = 421305, upload-time = "2025-11-30T20:21:44.994Z" }, + { url = "https://files.pythonhosted.org/packages/f9/be/522cb84751114f4ad9d822ff5a1aa3c98006341895d5f084779b99596e5c/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff", size = 572503, upload-time = "2025-11-30T20:21:46.91Z" }, + { url = "https://files.pythonhosted.org/packages/a2/9b/de879f7e7ceddc973ea6e4629e9b380213a6938a249e94b0cdbcc325bb66/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7", size = 598322, upload-time = "2025-11-30T20:21:48.709Z" }, + { url = "https://files.pythonhosted.org/packages/48/ac/f01fc22efec3f37d8a914fc1b2fb9bcafd56a299edbe96406f3053edea5a/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139", size = 560792, upload-time = "2025-11-30T20:21:50.024Z" }, + { url = "https://files.pythonhosted.org/packages/e2/da/4e2b19d0f131f35b6146425f846563d0ce036763e38913d917187307a671/rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464", size = 221901, upload-time = "2025-11-30T20:21:51.32Z" }, + { url = "https://files.pythonhosted.org/packages/96/cb/156d7a5cf4f78a7cc571465d8aec7a3c447c94f6749c5123f08438bcf7bc/rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169", size = 235823, upload-time = "2025-11-30T20:21:52.505Z" }, + { url = "https://files.pythonhosted.org/packages/4d/6e/f964e88b3d2abee2a82c1ac8366da848fce1c6d834dc2132c3fda3970290/rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425", size = 370157, upload-time = "2025-11-30T20:21:53.789Z" }, + { url = "https://files.pythonhosted.org/packages/94/ba/24e5ebb7c1c82e74c4e4f33b2112a5573ddc703915b13a073737b59b86e0/rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d", size = 359676, upload-time = "2025-11-30T20:21:55.475Z" }, + { url = "https://files.pythonhosted.org/packages/84/86/04dbba1b087227747d64d80c3b74df946b986c57af0a9f0c98726d4d7a3b/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4", size = 389938, upload-time = "2025-11-30T20:21:57.079Z" }, + { url = "https://files.pythonhosted.org/packages/42/bb/1463f0b1722b7f45431bdd468301991d1328b16cffe0b1c2918eba2c4eee/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f", size = 402932, upload-time = "2025-11-30T20:21:58.47Z" }, + { url = "https://files.pythonhosted.org/packages/99/ee/2520700a5c1f2d76631f948b0736cdf9b0acb25abd0ca8e889b5c62ac2e3/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4", size = 525830, upload-time = "2025-11-30T20:21:59.699Z" }, + { url = "https://files.pythonhosted.org/packages/e0/ad/bd0331f740f5705cc555a5e17fdf334671262160270962e69a2bdef3bf76/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97", size = 412033, upload-time = "2025-11-30T20:22:00.991Z" }, + { url = "https://files.pythonhosted.org/packages/f8/1e/372195d326549bb51f0ba0f2ecb9874579906b97e08880e7a65c3bef1a99/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89", size = 390828, upload-time = "2025-11-30T20:22:02.723Z" }, + { url = "https://files.pythonhosted.org/packages/ab/2b/d88bb33294e3e0c76bc8f351a3721212713629ffca1700fa94979cb3eae8/rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d", size = 404683, upload-time = "2025-11-30T20:22:04.367Z" }, + { url = "https://files.pythonhosted.org/packages/50/32/c759a8d42bcb5289c1fac697cd92f6fe01a018dd937e62ae77e0e7f15702/rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038", size = 421583, upload-time = "2025-11-30T20:22:05.814Z" }, + { url = "https://files.pythonhosted.org/packages/2b/81/e729761dbd55ddf5d84ec4ff1f47857f4374b0f19bdabfcf929164da3e24/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7", size = 572496, upload-time = "2025-11-30T20:22:07.713Z" }, + { url = "https://files.pythonhosted.org/packages/14/f6/69066a924c3557c9c30baa6ec3a0aa07526305684c6f86c696b08860726c/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed", size = 598669, upload-time = "2025-11-30T20:22:09.312Z" }, + { url = "https://files.pythonhosted.org/packages/5f/48/905896b1eb8a05630d20333d1d8ffd162394127b74ce0b0784ae04498d32/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85", size = 561011, upload-time = "2025-11-30T20:22:11.309Z" }, + { url = "https://files.pythonhosted.org/packages/22/16/cd3027c7e279d22e5eb431dd3c0fbc677bed58797fe7581e148f3f68818b/rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c", size = 221406, upload-time = "2025-11-30T20:22:13.101Z" }, + { url = "https://files.pythonhosted.org/packages/fa/5b/e7b7aa136f28462b344e652ee010d4de26ee9fd16f1bfd5811f5153ccf89/rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825", size = 236024, upload-time = "2025-11-30T20:22:14.853Z" }, + { url = "https://files.pythonhosted.org/packages/14/a6/364bba985e4c13658edb156640608f2c9e1d3ea3c81b27aa9d889fff0e31/rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229", size = 229069, upload-time = "2025-11-30T20:22:16.577Z" }, + { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload-time = "2025-11-30T20:22:17.93Z" }, + { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload-time = "2025-11-30T20:22:19.297Z" }, + { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload-time = "2025-11-30T20:22:21.661Z" }, + { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload-time = "2025-11-30T20:22:23.408Z" }, + { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload-time = "2025-11-30T20:22:25.16Z" }, + { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload-time = "2025-11-30T20:22:26.505Z" }, + { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload-time = "2025-11-30T20:22:27.934Z" }, + { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload-time = "2025-11-30T20:22:29.341Z" }, + { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload-time = "2025-11-30T20:22:31.469Z" }, + { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload-time = "2025-11-30T20:22:32.997Z" }, + { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload-time = "2025-11-30T20:22:34.419Z" }, + { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload-time = "2025-11-30T20:22:35.903Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload-time = "2025-11-30T20:22:37.271Z" }, + { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload-time = "2025-11-30T20:22:39.021Z" }, + { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload-time = "2025-11-30T20:22:40.493Z" }, + { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload-time = "2025-11-30T20:22:41.812Z" }, + { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload-time = "2025-11-30T20:22:43.479Z" }, + { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload-time = "2025-11-30T20:22:44.819Z" }, + { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload-time = "2025-11-30T20:22:46.103Z" }, + { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload-time = "2025-11-30T20:22:47.458Z" }, + { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload-time = "2025-11-30T20:22:48.872Z" }, + { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload-time = "2025-11-30T20:22:50.196Z" }, + { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload-time = "2025-11-30T20:22:51.87Z" }, + { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload-time = "2025-11-30T20:22:53.341Z" }, + { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload-time = "2025-11-30T20:22:54.778Z" }, + { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload-time = "2025-11-30T20:22:56.212Z" }, + { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload-time = "2025-11-30T20:22:58.2Z" }, + { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload-time = "2025-11-30T20:23:00.209Z" }, + { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload-time = "2025-11-30T20:23:02.008Z" }, + { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload-time = "2025-11-30T20:23:03.43Z" }, + { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload-time = "2025-11-30T20:23:04.878Z" }, + { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload-time = "2025-11-30T20:23:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload-time = "2025-11-30T20:23:07.825Z" }, + { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload-time = "2025-11-30T20:23:09.228Z" }, + { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload-time = "2025-11-30T20:23:11.186Z" }, + { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload-time = "2025-11-30T20:23:12.864Z" }, + { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload-time = "2025-11-30T20:23:14.638Z" }, + { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload-time = "2025-11-30T20:23:16.105Z" }, + { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload-time = "2025-11-30T20:23:17.539Z" }, + { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload-time = "2025-11-30T20:23:19.029Z" }, + { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload-time = "2025-11-30T20:23:20.885Z" }, + { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" }, + { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" }, + { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" }, + { url = "https://files.pythonhosted.org/packages/69/71/3f34339ee70521864411f8b6992e7ab13ac30d8e4e3309e07c7361767d91/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58", size = 372292, upload-time = "2025-11-30T20:24:16.537Z" }, + { url = "https://files.pythonhosted.org/packages/57/09/f183df9b8f2d66720d2ef71075c59f7e1b336bec7ee4c48f0a2b06857653/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a", size = 362128, upload-time = "2025-11-30T20:24:18.086Z" }, + { url = "https://files.pythonhosted.org/packages/7a/68/5c2594e937253457342e078f0cc1ded3dd7b2ad59afdbf2d354869110a02/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb", size = 391542, upload-time = "2025-11-30T20:24:20.092Z" }, + { url = "https://files.pythonhosted.org/packages/49/5c/31ef1afd70b4b4fbdb2800249f34c57c64beb687495b10aec0365f53dfc4/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c", size = 404004, upload-time = "2025-11-30T20:24:22.231Z" }, + { url = "https://files.pythonhosted.org/packages/e3/63/0cfbea38d05756f3440ce6534d51a491d26176ac045e2707adc99bb6e60a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3", size = 527063, upload-time = "2025-11-30T20:24:24.302Z" }, + { url = "https://files.pythonhosted.org/packages/42/e6/01e1f72a2456678b0f618fc9a1a13f882061690893c192fcad9f2926553a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5", size = 413099, upload-time = "2025-11-30T20:24:25.916Z" }, + { url = "https://files.pythonhosted.org/packages/b8/25/8df56677f209003dcbb180765520c544525e3ef21ea72279c98b9aa7c7fb/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738", size = 392177, upload-time = "2025-11-30T20:24:27.834Z" }, + { url = "https://files.pythonhosted.org/packages/4a/b4/0a771378c5f16f8115f796d1f437950158679bcd2a7c68cf251cfb00ed5b/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f", size = 406015, upload-time = "2025-11-30T20:24:29.457Z" }, + { url = "https://files.pythonhosted.org/packages/36/d8/456dbba0af75049dc6f63ff295a2f92766b9d521fa00de67a2bd6427d57a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877", size = 423736, upload-time = "2025-11-30T20:24:31.22Z" }, + { url = "https://files.pythonhosted.org/packages/13/64/b4d76f227d5c45a7e0b796c674fd81b0a6c4fbd48dc29271857d8219571c/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a", size = 573981, upload-time = "2025-11-30T20:24:32.934Z" }, + { url = "https://files.pythonhosted.org/packages/20/91/092bacadeda3edf92bf743cc96a7be133e13a39cdbfd7b5082e7ab638406/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4", size = 599782, upload-time = "2025-11-30T20:24:35.169Z" }, + { url = "https://files.pythonhosted.org/packages/d1/b7/b95708304cd49b7b6f82fdd039f1748b66ec2b21d6a45180910802f1abf1/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e", size = 562191, upload-time = "2025-11-30T20:24:36.853Z" }, +] + +[[package]] +name = "rpds-py" +version = "2026.6.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +sdist = { url = "https://files.pythonhosted.org/packages/aa/2a/9618a122aeb2a169a28b03889a2995fe297588964333d4a7d67bdf46e147/rpds_py-2026.6.3.tar.gz", hash = "sha256:1cebd1337c242e4ec2293e541f712b2da849b29f48f0c293684b71c0632625d4", size = 64051, upload-time = "2026-06-30T07:17:53.009Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/94/1f/a2dca5ffdbf1d475ffc4e80e4d5d720ff3a00f691795910116960ee12511/rpds_py-2026.6.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:7b689145a1485c335569bd056464f3243a29af7ed3871c7be31ad624ba239bc7", size = 342174, upload-time = "2026-06-30T07:14:54.821Z" }, + { url = "https://files.pythonhosted.org/packages/4d/dc/323d08583c0832911768663d1944f0107fcd4088704858d84b5e06d105a0/rpds_py-2026.6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:db08f45aecde626498fb3df07bcf6d2ec040af42e859a4f5040d79c200342911", size = 345513, upload-time = "2026-06-30T07:14:56.515Z" }, + { url = "https://files.pythonhosted.org/packages/0b/2a/e31989834d18d2f26ec1d2774c5b1eb3331df4ea8ada525175294c94b48a/rpds_py-2026.6.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acc992ab27b15f852c76755eb2ab7dce86585ddadba6fa5946e58556088845b4", size = 373783, upload-time = "2026-06-30T07:14:57.736Z" }, + { url = "https://files.pythonhosted.org/packages/87/fe/e80107ee3639585c9941c17d6a42cd65325022f656c023191fce78c324c8/rpds_py-2026.6.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7f88d653e7b3b779d71ae7454e20dcc9b6bae903f33c269db9f2be41bda3f261", size = 378316, upload-time = "2026-06-30T07:14:59.077Z" }, + { url = "https://files.pythonhosted.org/packages/22/6f/81e3adf81acfb6fa694de2a6e4e7d8863121e3e0799e0a7725e6cf5679c4/rpds_py-2026.6.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e52655eaf81e32593abedaa4bfe33170c8cfedf3365ed9be6e11e07f148f0278", size = 499423, upload-time = "2026-06-30T07:15:00.488Z" }, + { url = "https://files.pythonhosted.org/packages/2d/9a/41263969df0ce3d9af2a96d5005a288200af1989aed3354bfceb5fc0b21f/rpds_py-2026.6.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dfcc8b909769d19db55c7cc9541eb64b9b774b1057ffffb4f1048070475bb9f9", size = 386077, upload-time = "2026-06-30T07:15:01.911Z" }, + { url = "https://files.pythonhosted.org/packages/5e/19/7e98f468bd50346faff5b10e5297374b443bfdddacc8e9fbc65984539597/rpds_py-2026.6.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c1255b302953c86a486b81d330d5ee1d5bd937691ce271b6be0ef0e299eaab7", size = 371315, upload-time = "2026-06-30T07:15:03.317Z" }, + { url = "https://files.pythonhosted.org/packages/99/3c/2b973b4d371906a134b03decfea7f5d9835a2c6d263454392e15b64b5b18/rpds_py-2026.6.3-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:8d2294a31386bfa251d8c8a39472beee17db67d4f1a6eabea665d35c9a4461c3", size = 383502, upload-time = "2026-06-30T07:15:04.627Z" }, + { url = "https://files.pythonhosted.org/packages/98/2a/12e2799500af0a307bca76b63361c51f9fe479223561489c29eea1f2ee41/rpds_py-2026.6.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f8f23ead891a3b762f35ab3b04623da7056545b48aa60d59957e6789914545da", size = 402673, upload-time = "2026-06-30T07:15:05.856Z" }, + { url = "https://files.pythonhosted.org/packages/2d/e3/21e5872d165fe08be4f229e3d5ee9d90019c0bf0e5538de60dbd54009450/rpds_py-2026.6.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:421aba32367055614287a4292b6a17f1939c9452299f7a0209c117e990b646d4", size = 549964, upload-time = "2026-06-30T07:15:07.159Z" }, + { url = "https://files.pythonhosted.org/packages/1a/d0/5ee0fe36844297de8123bee27bc12078c1a7416ad9f1b8a8ca18d6b0c0ac/rpds_py-2026.6.3-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1e5822dfc2f0d4ab7e745eaa6d85945069329beeccef965af3f3bb26058fcab6", size = 615446, upload-time = "2026-06-30T07:15:08.531Z" }, + { url = "https://files.pythonhosted.org/packages/b1/80/1ea5873cb683f2fbe5f21b23ea1f6d179ead19f3c5b249b7eb5dca568ef2/rpds_py-2026.6.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:83e35b57523816c8613fd0776b40cd8bb9f596b37ddd2692eb4a6bb5ab2f8c93", size = 576975, upload-time = "2026-06-30T07:15:09.97Z" }, + { url = "https://files.pythonhosted.org/packages/c9/e1/90ef639217a5ddb15b7f4f61b1c33911fd044ad03c311bafdd2bcab85582/rpds_py-2026.6.3-cp311-cp311-win32.whl", hash = "sha256:de3eceba0b683bcbb1ab93da016d0270df1f9ae7be716b40214c5dafac6ea45a", size = 204453, upload-time = "2026-06-30T07:15:11.324Z" }, + { url = "https://files.pythonhosted.org/packages/f2/b7/b7a1695d7af36f521fb11e80d6d3adbd744f73b921859bd3c2a2c0dc706f/rpds_py-2026.6.3-cp311-cp311-win_amd64.whl", hash = "sha256:2c54a076ca4d370980ab57bc0e31df57bbe8d41340436a90ef8b1219a3cbb127", size = 223219, upload-time = "2026-06-30T07:15:12.476Z" }, + { url = "https://files.pythonhosted.org/packages/d7/a2/145afacf796e4506062825941176ad9445c2dcf2b3b6a1f13d3030a15e19/rpds_py-2026.6.3-cp311-cp311-win_arm64.whl", hash = "sha256:168c733a7112e071bb7a66460e667edfcff06c017a3c523f7a8a8e08d0140804", size = 219137, upload-time = "2026-06-30T07:15:13.631Z" }, + { url = "https://files.pythonhosted.org/packages/5c/be/2e8974163072e7bab7df1a5acd54c4498e75e35d6d18b864d3a9d5dadc92/rpds_py-2026.6.3-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a0811d33247c3d6128a3001d763f2aa056bb3425204335400ac54f89eec3a0d0", size = 343691, upload-time = "2026-06-30T07:15:14.96Z" }, + { url = "https://files.pythonhosted.org/packages/a4/73/319dfa745dd668efe89309141ded489126461fcecd2b8f3a3cda185129b6/rpds_py-2026.6.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:538949e262e46caa31ac01bdb3c1e8f642622922cacbabbae6a8445d9dc33eaf", size = 338542, upload-time = "2026-06-30T07:15:16.267Z" }, + { url = "https://files.pythonhosted.org/packages/21/63/4239893be1c4d09b709b1a8f6be4188f0870084ff547f46606b8a75f1b03/rpds_py-2026.6.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55927d532399c2c646100ff7feb48eaa940ad70f42cd68e1328f3ded9f81ca24", size = 368180, upload-time = "2026-06-30T07:15:17.62Z" }, + { url = "https://files.pythonhosted.org/packages/1c/ca/9c5de382225234ceb37b1844ebdb140db12b2a278bb9efe2fcd19f6c82ce/rpds_py-2026.6.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f56f1695bc5c0871cbc33dc0130fcf503aab0c57dcc5a6700a4f49eba4f2652e", size = 375067, upload-time = "2026-06-30T07:15:18.952Z" }, + { url = "https://files.pythonhosted.org/packages/87/dc/863f69d1bf04ade34b7fe0d59b9fdf6f0135fe2d7cbca74f1d665589559d/rpds_py-2026.6.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:270b293dae9058fc9fcedab50f13cebf46fb8ed1d1d54e0521a9da5d6b211975", size = 490509, upload-time = "2026-06-30T07:15:20.434Z" }, + { url = "https://files.pythonhosted.org/packages/ce/ef/eac16a12048b45ec7c7fa94f2be3438a5f26bf9cc8580b18a1cfd609b7f6/rpds_py-2026.6.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:127565fead0a10943b282957bd5447804ff3160ad79f2ad2635e6d249e380680", size = 382754, upload-time = "2026-06-30T07:15:21.831Z" }, + { url = "https://files.pythonhosted.org/packages/04/8f/d2f3f532616be4d06c316ef119683e832bd3d41e112bf3a88f4151c95b17/rpds_py-2026.6.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ecabd69db66de867690f9797f2f8fa27ba501bbc24540cbdbdc649cd15888ba6", size = 366189, upload-time = "2026-06-30T07:15:23.371Z" }, + { url = "https://files.pythonhosted.org/packages/e3/29/41a7b0e98a4b44cd676ab7598419623373eb43b20be68c084935c1a8cf88/rpds_py-2026.6.3-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:58eadac9cd119677b60e1cf8ac4052f35949d71b8a9e5556efccbe82533cf22a", size = 377750, upload-time = "2026-06-30T07:15:24.659Z" }, + { url = "https://files.pythonhosted.org/packages/2e/05/ecda0bec46f9a1565090bcdc941d023f6a25aff85fda28f89f8d19878152/rpds_py-2026.6.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7491ee23305ac3eb59e492b6945881f5cd77a6f731061a3f25b77fd40f9e99a4", size = 395576, upload-time = "2026-06-30T07:15:25.987Z" }, + { url = "https://files.pythonhosted.org/packages/68/a8/6ed52f03ee6cb854ce78785cc9a9a672eb880e83fd7224d471f667d151f1/rpds_py-2026.6.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:2c99f7e8ccb3dd6e3e4bfeac657a7b208c9bac8075f4b078c02d7404c34107fa", size = 543807, upload-time = "2026-06-30T07:15:27.356Z" }, + { url = "https://files.pythonhosted.org/packages/8f/d6/156c0d3eea27ba09b92562ba2364ba124c0a061b199e17eac637cd25a5e2/rpds_py-2026.6.3-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:62698275682bf121181861295c9181e789030a2d516071f5b8f3c23c170cd0fc", size = 611187, upload-time = "2026-06-30T07:15:28.931Z" }, + { url = "https://files.pythonhosted.org/packages/f1/31/774212ed989c62f7f310220089f9b0a3fb8f40f5443d1727abd5d9f52bc9/rpds_py-2026.6.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a214c993455f99a89aaeadc9b21241900037adc9d97203e374d75513c5911822", size = 573030, upload-time = "2026-06-30T07:15:30.553Z" }, + { url = "https://files.pythonhosted.org/packages/c9/50/22f73127a41f1ce4f87fe39aadfb9a126345801c274aa93ae88456249327/rpds_py-2026.6.3-cp312-cp312-win32.whl", hash = "sha256:501f9f04a588d6a09179368c57071301445191767c64e4b52a6aa9871f1ef5ed", size = 202185, upload-time = "2026-06-30T07:15:32.027Z" }, + { url = "https://files.pythonhosted.org/packages/04/3a/f0ee4d4dde9d3b69dedf1b5f74e7a40017046d55052d173e418c6a94f960/rpds_py-2026.6.3-cp312-cp312-win_amd64.whl", hash = "sha256:2c958bf94822e9290a40aaf2a822d4bc5c88099093e3948ad6c571eca9272e5f", size = 220394, upload-time = "2026-06-30T07:15:33.359Z" }, + { url = "https://files.pythonhosted.org/packages/f3/83/3382fe37f809b59f02aac04dbc4e765b480b46ee0227ed516e3bdc4d3dfc/rpds_py-2026.6.3-cp312-cp312-win_arm64.whl", hash = "sha256:22bffe6042b9bcb0822bcd1955ec00e245daf17b4344e4ed8e9551b976b63e96", size = 215753, upload-time = "2026-06-30T07:15:34.778Z" }, + { url = "https://files.pythonhosted.org/packages/a4/9e/b818ee580026ec578138e961027a68820c40afeb1ec8f6819b54fb99e196/rpds_py-2026.6.3-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:3cfe765c1da0072636ca06628261e0ea05688e160d5c8a03e0217c3854037223", size = 343012, upload-time = "2026-06-30T07:15:36.005Z" }, + { url = "https://files.pythonhosted.org/packages/f3/6b/686d9dc4359a8f163cfbbf89ee0b4e586431de22fe8248edb63a8cf50d49/rpds_py-2026.6.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f4d78253f6996be4901669ad25319f842f740eccf4d58e3c7f3dd39e6dde1d8f", size = 338203, upload-time = "2026-06-30T07:15:37.462Z" }, + { url = "https://files.pythonhosted.org/packages/9e/9b/069aa329940f8207615e091f5eedbbd40e1e15eac68a0790fd05ccdf796c/rpds_py-2026.6.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54f45a148e28767bf343d33a684693c70e451c6f4c0e9904709a723fafbdfc1f", size = 367984, upload-time = "2026-06-30T07:15:39.008Z" }, + { url = "https://files.pythonhosted.org/packages/14/db/34c203e4becff3703e4d3bc121842c00b8689197f398161203a880052f4e/rpds_py-2026.6.3-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:842e7b070435622248c7a2c44ae53fa1440e073cc3023bc919fed570884097a7", size = 374815, upload-time = "2026-06-30T07:15:40.253Z" }, + { url = "https://files.pythonhosted.org/packages/ee/7d/8071067d2cc453d916ad836e828c943f575e8a44612537759002a1e07381/rpds_py-2026.6.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8020133a74bd81b4572dd8e4be028a6b1ebcd70e6726edc3918008c08bee6ee6", size = 490545, upload-time = "2026-06-30T07:15:41.729Z" }, + { url = "https://files.pythonhosted.org/packages/a3/42/da06c5aa8f0484ff07f270787434204d9f4535e2f8c3b51ed402267e63c3/rpds_py-2026.6.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cdc7e35386f3847df728fbcb5e887e2d79c19e2fa1eba9e51b6621d23e3243af", size = 382828, upload-time = "2026-06-30T07:15:43.327Z" }, + { url = "https://files.pythonhosted.org/packages/57/d7/fe978efc2ae50abe48eb7464668ea99f53c010c60aeebb7b35ad27f23661/rpds_py-2026.6.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acac386b453c2516111b50985d60ce46e7fadb5ea71ae7b25f4c946935bf27cf", size = 365678, upload-time = "2026-06-30T07:15:44.992Z" }, + { url = "https://files.pythonhosted.org/packages/69/9d/1d8922e1990b2a6eb532b6ff53d3e73d2b3bbffc84116c75826bee73dfc6/rpds_py-2026.6.3-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:425560c6fa0415f27261727bb20bd097568485e5eb0c121f1949417d1c516885", size = 377811, upload-time = "2026-06-30T07:15:46.523Z" }, + { url = "https://files.pythonhosted.org/packages/b1/3d/198dceafb4fb034a6a47347e1b0735d34e0bd4a50be4e898d408ee66cb14/rpds_py-2026.6.3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a550fb4950a06dde3beb4721f5ad4b25bf4513784665b0a8522c792e2bd822a4", size = 395382, upload-time = "2026-06-30T07:15:47.955Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f1/13968e49655d40b6b19d8b9140296bbc6f1d86b3f0f6c346cf9f1adddf4b/rpds_py-2026.6.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4f4bca01b63096f606e095734dd56e74e175f94cfbf24ff3d63281cec61f7bb7", size = 543832, upload-time = "2026-06-30T07:15:49.33Z" }, + { url = "https://files.pythonhosted.org/packages/ac/ab/289bcb1b90bd3e40a2900c561fa0e2087345ecbb094f0b870f2345142b7c/rpds_py-2026.6.3-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ccffae9a092a00deb7efd545fe5e2c33c33b88e7c054337e9a74c179347d0b7d", size = 611011, upload-time = "2026-06-30T07:15:50.847Z" }, + { url = "https://files.pythonhosted.org/packages/1e/16/5043105e679436ccfbc8e5e0dd2d663ed18a8b8113515fd06a5e5d77c83e/rpds_py-2026.6.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1cf01971c4f2c5553b772a542e4aaf191789cd331bc2cd4ff0e6e65ba49e1e97", size = 572431, upload-time = "2026-06-30T07:15:52.394Z" }, + { url = "https://files.pythonhosted.org/packages/85/ed/adab103321c0a6565d5ae1c2998349bc3ee175b82ccc5ae8fc04cc413075/rpds_py-2026.6.3-cp313-cp313-win32.whl", hash = "sha256:8c3d1e9c15b9d51ca0391e13da1a25a0a4df3c58a37c9dc368e0736cf7f69df0", size = 201710, upload-time = "2026-06-30T07:15:53.894Z" }, + { url = "https://files.pythonhosted.org/packages/7b/ed/a03b09668e74e5dabbf2e211f6468e1820c0552f7b0500082da31841bf7b/rpds_py-2026.6.3-cp313-cp313-win_amd64.whl", hash = "sha256:9250a9a0a6fd4648b3f868da8d91a4c52b5811a62df58e753d50ae4454a36f80", size = 219454, upload-time = "2026-06-30T07:15:55.25Z" }, + { url = "https://files.pythonhosted.org/packages/27/17/b8642c12930b71bc2b25831f6708ccf0f75abcd11883932ec9ce54ba3a78/rpds_py-2026.6.3-cp313-cp313-win_arm64.whl", hash = "sha256:900a67df3fd1660b035a4761c4ce73c382ea6b35f90f9863c36c6fd8bf8b09bb", size = 215063, upload-time = "2026-06-30T07:15:56.573Z" }, + { url = "https://files.pythonhosted.org/packages/b4/9c/f0d19ac587fd0e4ab6b72cda355e9c5a6166b01ef7e064e437aef8eb9fef/rpds_py-2026.6.3-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:4cf2d36a2357e4d07bb5a4f98801265327b48256867816cfd2ceb001e9754a8f", size = 349791, upload-time = "2026-06-30T07:17:33.315Z" }, + { url = "https://files.pythonhosted.org/packages/38/c7/1d49d204c9fd2ee6c537601dc4c1ba921e03363ca576bfab94a00254ac9a/rpds_py-2026.6.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:30c6dc199b24a5e3e81d50da0f00858c5bbdb2617a750395687f4339c5818171", size = 352842, upload-time = "2026-06-30T07:17:34.897Z" }, + { url = "https://files.pythonhosted.org/packages/ac/e5/c0b5dc93cd0d4c06ce1f438907649514e2ea077bcd911e3154a51e96c38e/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9891e594296ab9dada6551c8e7b387b2721f27a67eecd528412e8906247a7b90", size = 382094, upload-time = "2026-06-30T07:17:36.514Z" }, + { url = "https://files.pythonhosted.org/packages/0d/54/ec0e907b4ca8d541112db352409bd15f871c9b243e0c92c9b5a46ae96f01/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b5c2dc92304aa48a4a60443b548bb12f12e119d4b72f314015e67b9e1be97fca", size = 388662, upload-time = "2026-06-30T07:17:38.235Z" }, + { url = "https://files.pythonhosted.org/packages/d3/f4/921c22a4fd0f1c1ac13a3996ffbf0aa67951e2c8ad0d1d9574938a2932e8/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:127e08c0642d880cf32ca47ec2a4a77b901f7e2dd1ad9762adb13955d72ffcc9", size = 504896, upload-time = "2026-06-30T07:17:39.689Z" }, + { url = "https://files.pythonhosted.org/packages/0b/1b/a114b972cefa1ab1cdb3c7bb177cd3844a12826c507c722d3a73516dbbaf/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8bb68f03f395eb793220b45c097bd4d8c32944393da0fad8b999efac0868fc8c", size = 391545, upload-time = "2026-06-30T07:17:41.336Z" }, + { url = "https://files.pythonhosted.org/packages/4e/98/af9b3db77d47fcbe6c8c1f36e2c2147ec70292819e99c325f871584a1c11/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3450b693fde92133e9f51060568a4c31fcca76d5e53bbd611e689ca446517e9", size = 380059, upload-time = "2026-06-30T07:17:42.857Z" }, + { url = "https://files.pythonhosted.org/packages/c9/ba/0efd8668b97c1d26a61566386c636a7a7a09829e474fdf807caa15a2c844/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:5e8d07bddee435a2ff6f1920e18feff28d0bc4533e42f4bf6927fbd073312c41", size = 393235, upload-time = "2026-06-30T07:17:44.637Z" }, + { url = "https://files.pythonhosted.org/packages/62/90/8c139ee9690f73b0829f32647de6f40d826f8f443af6fa72644f96351aac/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3a83ae6c67b7676b9878378547ca8e93ed77a580037bcbcd1d32f739e1e6089c", size = 413008, upload-time = "2026-06-30T07:17:46.225Z" }, + { url = "https://files.pythonhosted.org/packages/9c/97/0043896fdd7828ce09a1d9a8b06433714d0960fc4ff3fc4aa72b666b764e/rpds_py-2026.6.3-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:2bfd04c19ddbd6640de0b51894d764bd2758854d5b75bd102d2ef10cb9c293a9", size = 558118, upload-time = "2026-06-30T07:17:47.759Z" }, + { url = "https://files.pythonhosted.org/packages/f6/40/02355f0e134f783a8f9814c4680a1bd311d37671577a5964ea838573ff37/rpds_py-2026.6.3-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:ca6546b66be9dc4738b1b043d5ebd5488c66c578c5ff0fd0e8065313fe3afb76", size = 623138, upload-time = "2026-06-30T07:17:49.355Z" }, + { url = "https://files.pythonhosted.org/packages/10/85/48f0abdcef5cce4e034c7a5b0ceeceba0b01bf0d942824f4bb720afe2dec/rpds_py-2026.6.3-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:8e65860d238379ed982fd9ba690579b5e95af2f4840f99c772816dbe573cb826", size = 586486, upload-time = "2026-06-30T07:17:51.141Z" }, +] + +[[package]] +name = "scipy" +version = "1.15.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/2f/4966032c5f8cc7e6a60f1b2e0ad686293b9474b65246b0c642e3ef3badd0/scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c", size = 38702770, upload-time = "2025-05-08T16:04:20.849Z" }, + { url = "https://files.pythonhosted.org/packages/a0/6e/0c3bf90fae0e910c274db43304ebe25a6b391327f3f10b5dcc638c090795/scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253", size = 30094511, upload-time = "2025-05-08T16:04:27.103Z" }, + { url = "https://files.pythonhosted.org/packages/ea/b1/4deb37252311c1acff7f101f6453f0440794f51b6eacb1aad4459a134081/scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f", size = 22368151, upload-time = "2025-05-08T16:04:31.731Z" }, + { url = "https://files.pythonhosted.org/packages/38/7d/f457626e3cd3c29b3a49ca115a304cebb8cc6f31b04678f03b216899d3c6/scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92", size = 25121732, upload-time = "2025-05-08T16:04:36.596Z" }, + { url = "https://files.pythonhosted.org/packages/db/0a/92b1de4a7adc7a15dcf5bddc6e191f6f29ee663b30511ce20467ef9b82e4/scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82", size = 35547617, upload-time = "2025-05-08T16:04:43.546Z" }, + { url = "https://files.pythonhosted.org/packages/8e/6d/41991e503e51fc1134502694c5fa7a1671501a17ffa12716a4a9151af3df/scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40", size = 37662964, upload-time = "2025-05-08T16:04:49.431Z" }, + { url = "https://files.pythonhosted.org/packages/25/e1/3df8f83cb15f3500478c889be8fb18700813b95e9e087328230b98d547ff/scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e", size = 37238749, upload-time = "2025-05-08T16:04:55.215Z" }, + { url = "https://files.pythonhosted.org/packages/93/3e/b3257cf446f2a3533ed7809757039016b74cd6f38271de91682aa844cfc5/scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c", size = 40022383, upload-time = "2025-05-08T16:05:01.914Z" }, + { url = "https://files.pythonhosted.org/packages/d1/84/55bc4881973d3f79b479a5a2e2df61c8c9a04fcb986a213ac9c02cfb659b/scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13", size = 41259201, upload-time = "2025-05-08T16:05:08.166Z" }, + { url = "https://files.pythonhosted.org/packages/96/ab/5cc9f80f28f6a7dff646c5756e559823614a42b1939d86dd0ed550470210/scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b", size = 38714255, upload-time = "2025-05-08T16:05:14.596Z" }, + { url = "https://files.pythonhosted.org/packages/4a/4a/66ba30abe5ad1a3ad15bfb0b59d22174012e8056ff448cb1644deccbfed2/scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba", size = 30111035, upload-time = "2025-05-08T16:05:20.152Z" }, + { url = "https://files.pythonhosted.org/packages/4b/fa/a7e5b95afd80d24313307f03624acc65801846fa75599034f8ceb9e2cbf6/scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65", size = 22384499, upload-time = "2025-05-08T16:05:24.494Z" }, + { url = "https://files.pythonhosted.org/packages/17/99/f3aaddccf3588bb4aea70ba35328c204cadd89517a1612ecfda5b2dd9d7a/scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1", size = 25152602, upload-time = "2025-05-08T16:05:29.313Z" }, + { url = "https://files.pythonhosted.org/packages/56/c5/1032cdb565f146109212153339f9cb8b993701e9fe56b1c97699eee12586/scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889", size = 35503415, upload-time = "2025-05-08T16:05:34.699Z" }, + { url = "https://files.pythonhosted.org/packages/bd/37/89f19c8c05505d0601ed5650156e50eb881ae3918786c8fd7262b4ee66d3/scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982", size = 37652622, upload-time = "2025-05-08T16:05:40.762Z" }, + { url = "https://files.pythonhosted.org/packages/7e/31/be59513aa9695519b18e1851bb9e487de66f2d31f835201f1b42f5d4d475/scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9", size = 37244796, upload-time = "2025-05-08T16:05:48.119Z" }, + { url = "https://files.pythonhosted.org/packages/10/c0/4f5f3eeccc235632aab79b27a74a9130c6c35df358129f7ac8b29f562ac7/scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594", size = 40047684, upload-time = "2025-05-08T16:05:54.22Z" }, + { url = "https://files.pythonhosted.org/packages/ab/a7/0ddaf514ce8a8714f6ed243a2b391b41dbb65251affe21ee3077ec45ea9a/scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb", size = 41246504, upload-time = "2025-05-08T16:06:00.437Z" }, + { url = "https://files.pythonhosted.org/packages/37/4b/683aa044c4162e10ed7a7ea30527f2cbd92e6999c10a8ed8edb253836e9c/scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019", size = 38766735, upload-time = "2025-05-08T16:06:06.471Z" }, + { url = "https://files.pythonhosted.org/packages/7b/7e/f30be3d03de07f25dc0ec926d1681fed5c732d759ac8f51079708c79e680/scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6", size = 30173284, upload-time = "2025-05-08T16:06:11.686Z" }, + { url = "https://files.pythonhosted.org/packages/07/9c/0ddb0d0abdabe0d181c1793db51f02cd59e4901da6f9f7848e1f96759f0d/scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477", size = 22446958, upload-time = "2025-05-08T16:06:15.97Z" }, + { url = "https://files.pythonhosted.org/packages/af/43/0bce905a965f36c58ff80d8bea33f1f9351b05fad4beaad4eae34699b7a1/scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c", size = 25242454, upload-time = "2025-05-08T16:06:20.394Z" }, + { url = "https://files.pythonhosted.org/packages/56/30/a6f08f84ee5b7b28b4c597aca4cbe545535c39fe911845a96414700b64ba/scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45", size = 35210199, upload-time = "2025-05-08T16:06:26.159Z" }, + { url = "https://files.pythonhosted.org/packages/0b/1f/03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555/scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49", size = 37309455, upload-time = "2025-05-08T16:06:32.778Z" }, + { url = "https://files.pythonhosted.org/packages/89/b1/fbb53137f42c4bf630b1ffdfc2151a62d1d1b903b249f030d2b1c0280af8/scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e", size = 36885140, upload-time = "2025-05-08T16:06:39.249Z" }, + { url = "https://files.pythonhosted.org/packages/2e/2e/025e39e339f5090df1ff266d021892694dbb7e63568edcfe43f892fa381d/scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539", size = 39710549, upload-time = "2025-05-08T16:06:45.729Z" }, + { url = "https://files.pythonhosted.org/packages/e6/eb/3bf6ea8ab7f1503dca3a10df2e4b9c3f6b3316df07f6c0ded94b281c7101/scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed", size = 40966184, upload-time = "2025-05-08T16:06:52.623Z" }, + { url = "https://files.pythonhosted.org/packages/73/18/ec27848c9baae6e0d6573eda6e01a602e5649ee72c27c3a8aad673ebecfd/scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759", size = 38728256, upload-time = "2025-05-08T16:06:58.696Z" }, + { url = "https://files.pythonhosted.org/packages/74/cd/1aef2184948728b4b6e21267d53b3339762c285a46a274ebb7863c9e4742/scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62", size = 30109540, upload-time = "2025-05-08T16:07:04.209Z" }, + { url = "https://files.pythonhosted.org/packages/5b/d8/59e452c0a255ec352bd0a833537a3bc1bfb679944c4938ab375b0a6b3a3e/scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb", size = 22383115, upload-time = "2025-05-08T16:07:08.998Z" }, + { url = "https://files.pythonhosted.org/packages/08/f5/456f56bbbfccf696263b47095291040655e3cbaf05d063bdc7c7517f32ac/scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730", size = 25163884, upload-time = "2025-05-08T16:07:14.091Z" }, + { url = "https://files.pythonhosted.org/packages/a2/66/a9618b6a435a0f0c0b8a6d0a2efb32d4ec5a85f023c2b79d39512040355b/scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825", size = 35174018, upload-time = "2025-05-08T16:07:19.427Z" }, + { url = "https://files.pythonhosted.org/packages/b5/09/c5b6734a50ad4882432b6bb7c02baf757f5b2f256041da5df242e2d7e6b6/scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7", size = 37269716, upload-time = "2025-05-08T16:07:25.712Z" }, + { url = "https://files.pythonhosted.org/packages/77/0a/eac00ff741f23bcabd352731ed9b8995a0a60ef57f5fd788d611d43d69a1/scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11", size = 36872342, upload-time = "2025-05-08T16:07:31.468Z" }, + { url = "https://files.pythonhosted.org/packages/fe/54/4379be86dd74b6ad81551689107360d9a3e18f24d20767a2d5b9253a3f0a/scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126", size = 39670869, upload-time = "2025-05-08T16:07:38.002Z" }, + { url = "https://files.pythonhosted.org/packages/87/2e/892ad2862ba54f084ffe8cc4a22667eaf9c2bcec6d2bff1d15713c6c0703/scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163", size = 40988851, upload-time = "2025-05-08T16:08:33.671Z" }, + { url = "https://files.pythonhosted.org/packages/1b/e9/7a879c137f7e55b30d75d90ce3eb468197646bc7b443ac036ae3fe109055/scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8", size = 38863011, upload-time = "2025-05-08T16:07:44.039Z" }, + { url = "https://files.pythonhosted.org/packages/51/d1/226a806bbd69f62ce5ef5f3ffadc35286e9fbc802f606a07eb83bf2359de/scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5", size = 30266407, upload-time = "2025-05-08T16:07:49.891Z" }, + { url = "https://files.pythonhosted.org/packages/e5/9b/f32d1d6093ab9eeabbd839b0f7619c62e46cc4b7b6dbf05b6e615bbd4400/scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e", size = 22540030, upload-time = "2025-05-08T16:07:54.121Z" }, + { url = "https://files.pythonhosted.org/packages/e7/29/c278f699b095c1a884f29fda126340fcc201461ee8bfea5c8bdb1c7c958b/scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb", size = 25218709, upload-time = "2025-05-08T16:07:58.506Z" }, + { url = "https://files.pythonhosted.org/packages/24/18/9e5374b617aba742a990581373cd6b68a2945d65cc588482749ef2e64467/scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723", size = 34809045, upload-time = "2025-05-08T16:08:03.929Z" }, + { url = "https://files.pythonhosted.org/packages/e1/fe/9c4361e7ba2927074360856db6135ef4904d505e9b3afbbcb073c4008328/scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb", size = 36703062, upload-time = "2025-05-08T16:08:09.558Z" }, + { url = "https://files.pythonhosted.org/packages/b7/8e/038ccfe29d272b30086b25a4960f757f97122cb2ec42e62b460d02fe98e9/scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4", size = 36393132, upload-time = "2025-05-08T16:08:15.34Z" }, + { url = "https://files.pythonhosted.org/packages/10/7e/5c12285452970be5bdbe8352c619250b97ebf7917d7a9a9e96b8a8140f17/scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5", size = 38979503, upload-time = "2025-05-08T16:08:21.513Z" }, + { url = "https://files.pythonhosted.org/packages/81/06/0a5e5349474e1cbc5757975b21bd4fad0e72ebf138c5592f191646154e06/scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca", size = 40308097, upload-time = "2025-05-08T16:08:27.627Z" }, +] + +[[package]] +name = "scipy" +version = "1.17.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version == '3.11.*'", +] +dependencies = [ + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7a/97/5a3609c4f8d58b039179648e62dd220f89864f56f7357f5d4f45c29eb2cc/scipy-1.17.1.tar.gz", hash = "sha256:95d8e012d8cb8816c226aef832200b1d45109ed4464303e997c5b13122b297c0", size = 30573822, upload-time = "2026-02-23T00:26:24.851Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/df/75/b4ce781849931fef6fd529afa6b63711d5a733065722d0c3e2724af9e40a/scipy-1.17.1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:1f95b894f13729334fb990162e911c9e5dc1ab390c58aa6cbecb389c5b5e28ec", size = 31613675, upload-time = "2026-02-23T00:16:00.13Z" }, + { url = "https://files.pythonhosted.org/packages/f7/58/bccc2861b305abdd1b8663d6130c0b3d7cc22e8d86663edbc8401bfd40d4/scipy-1.17.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:e18f12c6b0bc5a592ed23d3f7b891f68fd7f8241d69b7883769eb5d5dfb52696", size = 28162057, upload-time = "2026-02-23T00:16:09.456Z" }, + { url = "https://files.pythonhosted.org/packages/6d/ee/18146b7757ed4976276b9c9819108adbc73c5aad636e5353e20746b73069/scipy-1.17.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a3472cfbca0a54177d0faa68f697d8ba4c80bbdc19908c3465556d9f7efce9ee", size = 20334032, upload-time = "2026-02-23T00:16:17.358Z" }, + { url = "https://files.pythonhosted.org/packages/ec/e6/cef1cf3557f0c54954198554a10016b6a03b2ec9e22a4e1df734936bd99c/scipy-1.17.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:766e0dc5a616d026a3a1cffa379af959671729083882f50307e18175797b3dfd", size = 22709533, upload-time = "2026-02-23T00:16:25.791Z" }, + { url = "https://files.pythonhosted.org/packages/4d/60/8804678875fc59362b0fb759ab3ecce1f09c10a735680318ac30da8cd76b/scipy-1.17.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:744b2bf3640d907b79f3fd7874efe432d1cf171ee721243e350f55234b4cec4c", size = 33062057, upload-time = "2026-02-23T00:16:36.931Z" }, + { url = "https://files.pythonhosted.org/packages/09/7d/af933f0f6e0767995b4e2d705a0665e454d1c19402aa7e895de3951ebb04/scipy-1.17.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43af8d1f3bea642559019edfe64e9b11192a8978efbd1539d7bc2aaa23d92de4", size = 35349300, upload-time = "2026-02-23T00:16:49.108Z" }, + { url = "https://files.pythonhosted.org/packages/b4/3d/7ccbbdcbb54c8fdc20d3b6930137c782a163fa626f0aef920349873421ba/scipy-1.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cd96a1898c0a47be4520327e01f874acfd61fb48a9420f8aa9f6483412ffa444", size = 35127333, upload-time = "2026-02-23T00:17:01.293Z" }, + { url = "https://files.pythonhosted.org/packages/e8/19/f926cb11c42b15ba08e3a71e376d816ac08614f769b4f47e06c3580c836a/scipy-1.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4eb6c25dd62ee8d5edf68a8e1c171dd71c292fdae95d8aeb3dd7d7de4c364082", size = 37741314, upload-time = "2026-02-23T00:17:12.576Z" }, + { url = "https://files.pythonhosted.org/packages/95/da/0d1df507cf574b3f224ccc3d45244c9a1d732c81dcb26b1e8a766ae271a8/scipy-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:d30e57c72013c2a4fe441c2fcb8e77b14e152ad48b5464858e07e2ad9fbfceff", size = 36607512, upload-time = "2026-02-23T00:17:23.424Z" }, + { url = "https://files.pythonhosted.org/packages/68/7f/bdd79ceaad24b671543ffe0ef61ed8e659440eb683b66f033454dcee90eb/scipy-1.17.1-cp311-cp311-win_arm64.whl", hash = "sha256:9ecb4efb1cd6e8c4afea0daa91a87fbddbce1b99d2895d151596716c0b2e859d", size = 24599248, upload-time = "2026-02-23T00:17:34.561Z" }, + { url = "https://files.pythonhosted.org/packages/35/48/b992b488d6f299dbe3f11a20b24d3dda3d46f1a635ede1c46b5b17a7b163/scipy-1.17.1-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:35c3a56d2ef83efc372eaec584314bd0ef2e2f0d2adb21c55e6ad5b344c0dcb8", size = 31610954, upload-time = "2026-02-23T00:17:49.855Z" }, + { url = "https://files.pythonhosted.org/packages/b2/02/cf107b01494c19dc100f1d0b7ac3cc08666e96ba2d64db7626066cee895e/scipy-1.17.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fcb310ddb270a06114bb64bbe53c94926b943f5b7f0842194d585c65eb4edd76", size = 28172662, upload-time = "2026-02-23T00:18:01.64Z" }, + { url = "https://files.pythonhosted.org/packages/cf/a9/599c28631bad314d219cf9ffd40e985b24d603fc8a2f4ccc5ae8419a535b/scipy-1.17.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:cc90d2e9c7e5c7f1a482c9875007c095c3194b1cfedca3c2f3291cdc2bc7c086", size = 20344366, upload-time = "2026-02-23T00:18:12.015Z" }, + { url = "https://files.pythonhosted.org/packages/35/f5/906eda513271c8deb5af284e5ef0206d17a96239af79f9fa0aebfe0e36b4/scipy-1.17.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:c80be5ede8f3f8eded4eff73cc99a25c388ce98e555b17d31da05287015ffa5b", size = 22704017, upload-time = "2026-02-23T00:18:21.502Z" }, + { url = "https://files.pythonhosted.org/packages/da/34/16f10e3042d2f1d6b66e0428308ab52224b6a23049cb2f5c1756f713815f/scipy-1.17.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e19ebea31758fac5893a2ac360fedd00116cbb7628e650842a6691ba7ca28a21", size = 32927842, upload-time = "2026-02-23T00:18:35.367Z" }, + { url = "https://files.pythonhosted.org/packages/01/8e/1e35281b8ab6d5d72ebe9911edcdffa3f36b04ed9d51dec6dd140396e220/scipy-1.17.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458", size = 35235890, upload-time = "2026-02-23T00:18:49.188Z" }, + { url = "https://files.pythonhosted.org/packages/c5/5c/9d7f4c88bea6e0d5a4f1bc0506a53a00e9fcb198de372bfe4d3652cef482/scipy-1.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a604bae87c6195d8b1045eddece0514d041604b14f2727bbc2b3020172045eb", size = 35003557, upload-time = "2026-02-23T00:18:54.74Z" }, + { url = "https://files.pythonhosted.org/packages/65/94/7698add8f276dbab7a9de9fb6b0e02fc13ee61d51c7c3f85ac28b65e1239/scipy-1.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f590cd684941912d10becc07325a3eeb77886fe981415660d9265c4c418d0bea", size = 37625856, upload-time = "2026-02-23T00:19:00.307Z" }, + { url = "https://files.pythonhosted.org/packages/a2/84/dc08d77fbf3d87d3ee27f6a0c6dcce1de5829a64f2eae85a0ecc1f0daa73/scipy-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:41b71f4a3a4cab9d366cd9065b288efc4d4f3c0b37a91a8e0947fb5bd7f31d87", size = 36549682, upload-time = "2026-02-23T00:19:07.67Z" }, + { url = "https://files.pythonhosted.org/packages/bc/98/fe9ae9ffb3b54b62559f52dedaebe204b408db8109a8c66fdd04869e6424/scipy-1.17.1-cp312-cp312-win_arm64.whl", hash = "sha256:f4115102802df98b2b0db3cce5cb9b92572633a1197c77b7553e5203f284a5b3", size = 24547340, upload-time = "2026-02-23T00:19:12.024Z" }, + { url = "https://files.pythonhosted.org/packages/76/27/07ee1b57b65e92645f219b37148a7e7928b82e2b5dbeccecb4dff7c64f0b/scipy-1.17.1-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:5e3c5c011904115f88a39308379c17f91546f77c1667cea98739fe0fccea804c", size = 31590199, upload-time = "2026-02-23T00:19:17.192Z" }, + { url = "https://files.pythonhosted.org/packages/ec/ae/db19f8ab842e9b724bf5dbb7db29302a91f1e55bc4d04b1025d6d605a2c5/scipy-1.17.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6fac755ca3d2c3edcb22f479fceaa241704111414831ddd3bc6056e18516892f", size = 28154001, upload-time = "2026-02-23T00:19:22.241Z" }, + { url = "https://files.pythonhosted.org/packages/5b/58/3ce96251560107b381cbd6e8413c483bbb1228a6b919fa8652b0d4090e7f/scipy-1.17.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:7ff200bf9d24f2e4d5dc6ee8c3ac64d739d3a89e2326ba68aaf6c4a2b838fd7d", size = 20325719, upload-time = "2026-02-23T00:19:26.329Z" }, + { url = "https://files.pythonhosted.org/packages/b2/83/15087d945e0e4d48ce2377498abf5ad171ae013232ae31d06f336e64c999/scipy-1.17.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4b400bdc6f79fa02a4d86640310dde87a21fba0c979efff5248908c6f15fad1b", size = 22683595, upload-time = "2026-02-23T00:19:30.304Z" }, + { url = "https://files.pythonhosted.org/packages/b4/e0/e58fbde4a1a594c8be8114eb4aac1a55bcd6587047efc18a61eb1f5c0d30/scipy-1.17.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2b64ca7d4aee0102a97f3ba22124052b4bd2152522355073580bf4845e2550b6", size = 32896429, upload-time = "2026-02-23T00:19:35.536Z" }, + { url = "https://files.pythonhosted.org/packages/f5/5f/f17563f28ff03c7b6799c50d01d5d856a1d55f2676f537ca8d28c7f627cd/scipy-1.17.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:581b2264fc0aa555f3f435a5944da7504ea3a065d7029ad60e7c3d1ae09c5464", size = 35203952, upload-time = "2026-02-23T00:19:42.259Z" }, + { url = "https://files.pythonhosted.org/packages/8d/a5/9afd17de24f657fdfe4df9a3f1ea049b39aef7c06000c13db1530d81ccca/scipy-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:beeda3d4ae615106d7094f7e7cef6218392e4465cc95d25f900bebabfded0950", size = 34979063, upload-time = "2026-02-23T00:19:47.547Z" }, + { url = "https://files.pythonhosted.org/packages/8b/13/88b1d2384b424bf7c924f2038c1c409f8d88bb2a8d49d097861dd64a57b2/scipy-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6609bc224e9568f65064cfa72edc0f24ee6655b47575954ec6339534b2798369", size = 37598449, upload-time = "2026-02-23T00:19:53.238Z" }, + { url = "https://files.pythonhosted.org/packages/35/e5/d6d0e51fc888f692a35134336866341c08655d92614f492c6860dc45bb2c/scipy-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:37425bc9175607b0268f493d79a292c39f9d001a357bebb6b88fdfaff13f6448", size = 36510943, upload-time = "2026-02-23T00:20:50.89Z" }, + { url = "https://files.pythonhosted.org/packages/2a/fd/3be73c564e2a01e690e19cc618811540ba5354c67c8680dce3281123fb79/scipy-1.17.1-cp313-cp313-win_arm64.whl", hash = "sha256:5cf36e801231b6a2059bf354720274b7558746f3b1a4efb43fcf557ccd484a87", size = 24545621, upload-time = "2026-02-23T00:20:55.871Z" }, + { url = "https://files.pythonhosted.org/packages/6f/6b/17787db8b8114933a66f9dcc479a8272e4b4da75fe03b0c282f7b0ade8cd/scipy-1.17.1-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:d59c30000a16d8edc7e64152e30220bfbd724c9bbb08368c054e24c651314f0a", size = 31936708, upload-time = "2026-02-23T00:19:58.694Z" }, + { url = "https://files.pythonhosted.org/packages/38/2e/524405c2b6392765ab1e2b722a41d5da33dc5c7b7278184a8ad29b6cb206/scipy-1.17.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0", size = 28570135, upload-time = "2026-02-23T00:20:03.934Z" }, + { url = "https://files.pythonhosted.org/packages/fd/c3/5bd7199f4ea8556c0c8e39f04ccb014ac37d1468e6cfa6a95c6b3562b76e/scipy-1.17.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:2ceb2d3e01c5f1d83c4189737a42d9cb2fc38a6eeed225e7515eef71ad301dce", size = 20741977, upload-time = "2026-02-23T00:20:07.935Z" }, + { url = "https://files.pythonhosted.org/packages/d9/b8/8ccd9b766ad14c78386599708eb745f6b44f08400a5fd0ade7cf89b6fc93/scipy-1.17.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:844e165636711ef41f80b4103ed234181646b98a53c8f05da12ca5ca289134f6", size = 23029601, upload-time = "2026-02-23T00:20:12.161Z" }, + { url = "https://files.pythonhosted.org/packages/6d/a0/3cb6f4d2fb3e17428ad2880333cac878909ad1a89f678527b5328b93c1d4/scipy-1.17.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:158dd96d2207e21c966063e1635b1063cd7787b627b6f07305315dd73d9c679e", size = 33019667, upload-time = "2026-02-23T00:20:17.208Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c3/2d834a5ac7bf3a0c806ad1508efc02dda3c8c61472a56132d7894c312dea/scipy-1.17.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74cbb80d93260fe2ffa334efa24cb8f2f0f622a9b9febf8b483c0b865bfb3475", size = 35264159, upload-time = "2026-02-23T00:20:23.087Z" }, + { url = "https://files.pythonhosted.org/packages/4d/77/d3ed4becfdbd217c52062fafe35a72388d1bd82c2d0ba5ca19d6fcc93e11/scipy-1.17.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:dbc12c9f3d185f5c737d801da555fb74b3dcfa1a50b66a1a93e09190f41fab50", size = 35102771, upload-time = "2026-02-23T00:20:28.636Z" }, + { url = "https://files.pythonhosted.org/packages/bd/12/d19da97efde68ca1ee5538bb261d5d2c062f0c055575128f11a2730e3ac1/scipy-1.17.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:94055a11dfebe37c656e70317e1996dc197e1a15bbcc351bcdd4610e128fe1ca", size = 37665910, upload-time = "2026-02-23T00:20:34.743Z" }, + { url = "https://files.pythonhosted.org/packages/06/1c/1172a88d507a4baaf72c5a09bb6c018fe2ae0ab622e5830b703a46cc9e44/scipy-1.17.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e30bdeaa5deed6bc27b4cc490823cd0347d7dae09119b8803ae576ea0ce52e4c", size = 36562980, upload-time = "2026-02-23T00:20:40.575Z" }, + { url = "https://files.pythonhosted.org/packages/70/b0/eb757336e5a76dfa7911f63252e3b7d1de00935d7705cf772db5b45ec238/scipy-1.17.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a720477885a9d2411f94a93d16f9d89bad0f28ca23c3f8daa521e2dcc3f44d49", size = 24856543, upload-time = "2026-02-23T00:20:45.313Z" }, +] + +[[package]] +name = "scipy" +version = "1.18.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", +] +dependencies = [ + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a7/25/c2700dfaf6442b4effaa91af24ebce5dc9d31bb4a69706313aae70d72cd0/scipy-1.18.0.tar.gz", hash = "sha256:67b2ad2ad54c72ca6d04975a9b2df8c3638c34ddd5b28738e94fc2b57929d378", size = 30774447, upload-time = "2026-06-19T15:01:43.456Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/19/ca10ead60b0acc80b2b833c2c4a4f2ff753d0f58b811f70d911c7e94a25c/scipy-1.18.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:7bd21faaf5a1a3b2eff922d02db5f191b99a6518db9078a8fb23169f6d22259a", size = 31056519, upload-time = "2026-06-19T14:59:45.203Z" }, + { url = "https://files.pythonhosted.org/packages/96/72/1e6442a00cd2924d361aa1b642ab6373ec35c6fabf311a760be9f76e0f13/scipy-1.18.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:265915e79107de9f946b855e50d7470d5893ec3f54b342e1aa6201cbdcd8bb6b", size = 28681889, upload-time = "2026-06-19T14:59:48.103Z" }, + { url = "https://files.pythonhosted.org/packages/9b/2d/11dd93d21e147a73ba22bd75c0b9208d3a2e0ec76d53170ce7d9029b1015/scipy-1.18.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:9ab7b758be6940954a713ee466e2043e9f6e2ed965c1fce5c91039f4be3d90a9", size = 20423580, upload-time = "2026-06-19T14:59:50.665Z" }, + { url = "https://files.pythonhosted.org/packages/9c/01/93552f75e0d2a7dd115a45e59209c51e8d514daff02fc887d2623be06fe1/scipy-1.18.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:97b6cddaaee0a779ef6b5ca83c9604b27cc16b2b8fc22c142652df8793319fb8", size = 23054441, upload-time = "2026-06-19T14:59:53.564Z" }, + { url = "https://files.pythonhosted.org/packages/3c/23/21f5e703643d66f21faa6b4c73195bfcad70c55efcb4f1ab327cd7c4101a/scipy-1.18.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:52a96e21517c7292375c0e27dd796a811f03fcea5fd4d108fdfea8145dcf17ab", size = 33968720, upload-time = "2026-06-19T14:59:56.415Z" }, + { url = "https://files.pythonhosted.org/packages/dd/aa/1b939f6c67ed68635bb538e6752d3dacc02f66535182e939a89581a44e9c/scipy-1.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f55797419e16e7f30cf88ffb3113ce0467f00cfe3f70d5c281730b21769bfc2", size = 35287115, upload-time = "2026-06-19T14:59:59.411Z" }, + { url = "https://files.pythonhosted.org/packages/b6/ff/eec46be7e9234208f801062b53e1983085eddebd693f6c9bfb03b459830d/scipy-1.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ad033410e2e0672ffdc1042110cef20e1c46f8fd0616cee1d44d8d58fad8fc11", size = 35577989, upload-time = "2026-06-19T15:00:02.235Z" }, + { url = "https://files.pythonhosted.org/packages/84/ca/210d4759c7210bb7d269437421959b39a33434e2776b60c5cb8a763bb30a/scipy-1.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4a55985d54c769c872e64b7f4c8a81cc30ef700cc04296abbbf3705439c126de", size = 37421717, upload-time = "2026-06-19T15:00:05.102Z" }, + { url = "https://files.pythonhosted.org/packages/2b/54/9a9edb45345bd6744da5ddfb6628e5d5185920494c6a67ec45b6381004cb/scipy-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:71ccc8faa2dd16ac310233203474a8b5cb67f10dedd54a3116d34943f4b19132", size = 36597428, upload-time = "2026-06-19T15:00:08.112Z" }, + { url = "https://files.pythonhosted.org/packages/99/0e/33f32a2a58987e26aec0f7df252cbbad1e90ae77bdbc76f40dd4ed0cf0ea/scipy-1.18.0-cp312-cp312-win_arm64.whl", hash = "sha256:d88363fd9d8fbd3511bd273f1a49efb2a540773ddf92a91d57498ce7dd7f3e76", size = 24351481, upload-time = "2026-06-19T15:00:11.103Z" }, + { url = "https://files.pythonhosted.org/packages/05/52/9c0136c2de7ae0779b7b366447766cec6d9f0702c56bb8ffeb04c8fd3af4/scipy-1.18.0-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:09143f676d157d9f546d663504ef9c1becb819824f1afc018814176411942446", size = 31036107, upload-time = "2026-06-19T15:00:14.03Z" }, + { url = "https://files.pythonhosted.org/packages/02/73/0291a64843270f4efb86cdcf2ee0f2048631b65ec6b405398b2b4dbf11bf/scipy-1.18.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:5efe260f69417b97ddae455bfb5a95e8359f7f66ad7fa9522a60feb66f169520", size = 28663303, upload-time = "2026-06-19T15:00:16.819Z" }, + { url = "https://files.pythonhosted.org/packages/d3/0f/10ffa0b697a572f4e0d48b92a88895d366422f019f723e7e14a84c050dac/scipy-1.18.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:68363b7eaacd8b5dd426df56d782cc156468ac79a127a1b87ca597d6e2e82197", size = 20404960, upload-time = "2026-06-19T15:00:19.635Z" }, + { url = "https://files.pythonhosted.org/packages/7e/d2/e896cea21ba8edd6c81d4c55b1ffcc717e79698dcbebf9641b4cfb4c6622/scipy-1.18.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:c5557d8be5da8e41353fcd4d21491fdbab83b062fc579e94dc09a7c8ab4f669b", size = 23034074, upload-time = "2026-06-19T15:00:22.107Z" }, + { url = "https://files.pythonhosted.org/packages/ea/b2/e83ea34279a52c03374477c74006256ec78df65fc877baa4617d6de1d202/scipy-1.18.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0d13bca67c096d89fb95ced0d8921807300fce0275643aef9533cc63a0773468", size = 33942038, upload-time = "2026-06-19T15:00:24.964Z" }, + { url = "https://files.pythonhosted.org/packages/f6/af/e8fe5fb136f51e2b01678b92cb4106d10d8cd68ec147ead2e7cb0ac75398/scipy-1.18.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a46f9273dbd0eb1cefba61c9b8648b4dfe3cbc14a080176f9a73e44b8336dc7f", size = 35266390, upload-time = "2026-06-19T15:00:28.059Z" }, + { url = "https://files.pythonhosted.org/packages/3a/49/2c5cbb907b56695fc67517811d1db234dfd83381a84814ec220aded2794d/scipy-1.18.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5aba46108853ddfc77906b6557aac839d2b52e900c1d72a1180adaaab58d265f", size = 35551324, upload-time = "2026-06-19T15:00:31.014Z" }, + { url = "https://files.pythonhosted.org/packages/bb/73/eda39f7a2d306ff0ffc574afd13c0bbb6d10a603d9a413998ee269487a80/scipy-1.18.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b6f758e35f12757b5d95c00bc6de2438e229c2664b7a92e96f205959d9f2dfa4", size = 37404785, upload-time = "2026-06-19T15:00:34.072Z" }, + { url = "https://files.pythonhosted.org/packages/b7/d2/ae881ee28d014f38e0ccbfd974a06a919ba9af34f1f74bf42b5301891d63/scipy-1.18.0-cp313-cp313-win_amd64.whl", hash = "sha256:1afac4a847207c7ff8efd321734a50b06d0280b3b2a2c0fc2f413101747ad7c7", size = 36554943, upload-time = "2026-06-19T15:00:36.903Z" }, + { url = "https://files.pythonhosted.org/packages/70/3a/21154e2d54eb3639c6bf4dbae2e531c68356bfe95990daa30df33b30d556/scipy-1.18.0-cp313-cp313-win_arm64.whl", hash = "sha256:c5dbddf60e58c2312316d097271a8e73d40eaf2eabfa4d95ed7d3695bbf2ce7b", size = 24350911, upload-time = "2026-06-19T15:00:40.062Z" }, +] + +[[package]] +name = "send2trash" +version = "2.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c5/f0/184b4b5f8d00f2a92cf96eec8967a3d550b52cf94362dad1100df9e48d57/send2trash-2.1.0.tar.gz", hash = "sha256:1c72b39f09457db3c05ce1d19158c2cbef4c32b8bedd02c155e49282b7ea7459", size = 17255, upload-time = "2026-01-14T06:27:36.056Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1c/78/504fdd027da3b84ff1aecd9f6957e65f35134534ccc6da8628eb71e76d3f/send2trash-2.1.0-py3-none-any.whl", hash = "sha256:0da2f112e6d6bb22de6aa6daa7e144831a4febf2a87261451c4ad849fe9a873c", size = 17610, upload-time = "2026-01-14T06:27:35.218Z" }, +] + +[[package]] +name = "six" +version = "1.17.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" }, +] + +[[package]] +name = "soupsieve" +version = "2.8.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/47/2c/0a5f6f8ee0d5589e48c7640213ed5175d52cf540a06725b628cc1a45d6ce/soupsieve-2.8.4.tar.gz", hash = "sha256:e121fd02e975c695e4e9e8774a5ee35d74714b59307868dcc5319ad2d9e3328e", size = 121110, upload-time = "2026-05-24T13:55:57.154Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5e/f5/0c41cb68dcae6b7de4fac4188a3a9589e21fb31df21ea3a2e888db95e6c9/soupsieve-2.8.4-py3-none-any.whl", hash = "sha256:e7e6b0769c8f51ed59acab6e994b00621096cfb1c640a7509295987388fbaf65", size = 37304, upload-time = "2026-05-24T13:55:55.406Z" }, +] + +[[package]] +name = "stack-data" +version = "0.6.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "asttokens" }, + { name = "executing" }, + { name = "pure-eval" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload-time = "2023-09-30T13:58:05.479Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload-time = "2023-09-30T13:58:03.53Z" }, +] + +[[package]] +name = "terminado" +version = "0.18.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess", marker = "os_name != 'nt'" }, + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload-time = "2024-03-12T14:34:39.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload-time = "2024-03-12T14:34:36.569Z" }, +] + +[[package]] +name = "tinycss2" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a3/ae/2ca4913e5c0f09781d75482874c3a95db9105462a92ddd303c7d285d3df2/tinycss2-1.5.1.tar.gz", hash = "sha256:d339d2b616ba90ccce58da8495a78f46e55d4d25f9fd71dfd526f07e7d53f957", size = 88195, upload-time = "2025-11-23T10:29:10.082Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/45/c7b5c3168458db837e8ceab06dc77824e18202679d0463f0e8f002143a97/tinycss2-1.5.1-py3-none-any.whl", hash = "sha256:3415ba0f5839c062696996998176c4a3751d18b7edaaeeb658c9ce21ec150661", size = 28404, upload-time = "2025-11-23T10:29:08.676Z" }, +] + +[[package]] +name = "tomli" +version = "2.4.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/22/de/48c59722572767841493b26183a0d1cc411d54fd759c5607c4590b6563a6/tomli-2.4.1.tar.gz", hash = "sha256:7c7e1a961a0b2f2472c1ac5b69affa0ae1132c39adcb67aba98568702b9cc23f", size = 17543, upload-time = "2026-03-25T20:22:03.828Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/11/db3d5885d8528263d8adc260bb2d28ebf1270b96e98f0e0268d32b8d9900/tomli-2.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f8f0fc26ec2cc2b965b7a3b87cd19c5c6b8c5e5f436b984e85f486d652285c30", size = 154704, upload-time = "2026-03-25T20:21:10.473Z" }, + { url = "https://files.pythonhosted.org/packages/6d/f7/675db52c7e46064a9aa928885a9b20f4124ecb9bc2e1ce74c9106648d202/tomli-2.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4ab97e64ccda8756376892c53a72bd1f964e519c77236368527f758fbc36a53a", size = 149454, upload-time = "2026-03-25T20:21:12.036Z" }, + { url = "https://files.pythonhosted.org/packages/61/71/81c50943cf953efa35bce7646caab3cf457a7d8c030b27cfb40d7235f9ee/tomli-2.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96481a5786729fd470164b47cdb3e0e58062a496f455ee41b4403be77cb5a076", size = 237561, upload-time = "2026-03-25T20:21:13.098Z" }, + { url = "https://files.pythonhosted.org/packages/48/c1/f41d9cb618acccca7df82aaf682f9b49013c9397212cb9f53219e3abac37/tomli-2.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5a881ab208c0baf688221f8cecc5401bd291d67e38a1ac884d6736cbcd8247e9", size = 243824, upload-time = "2026-03-25T20:21:14.569Z" }, + { url = "https://files.pythonhosted.org/packages/22/e4/5a816ecdd1f8ca51fb756ef684b90f2780afc52fc67f987e3c61d800a46d/tomli-2.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47149d5bd38761ac8be13a84864bf0b7b70bc051806bc3669ab1cbc56216b23c", size = 242227, upload-time = "2026-03-25T20:21:15.712Z" }, + { url = "https://files.pythonhosted.org/packages/6b/49/2b2a0ef529aa6eec245d25f0c703e020a73955ad7edf73e7f54ddc608aa5/tomli-2.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ec9bfaf3ad2df51ace80688143a6a4ebc09a248f6ff781a9945e51937008fcbc", size = 247859, upload-time = "2026-03-25T20:21:17.001Z" }, + { url = "https://files.pythonhosted.org/packages/83/bd/6c1a630eaca337e1e78c5903104f831bda934c426f9231429396ce3c3467/tomli-2.4.1-cp311-cp311-win32.whl", hash = "sha256:ff2983983d34813c1aeb0fa89091e76c3a22889ee83ab27c5eeb45100560c049", size = 97204, upload-time = "2026-03-25T20:21:18.079Z" }, + { url = "https://files.pythonhosted.org/packages/42/59/71461df1a885647e10b6bb7802d0b8e66480c61f3f43079e0dcd315b3954/tomli-2.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:5ee18d9ebdb417e384b58fe414e8d6af9f4e7a0ae761519fb50f721de398dd4e", size = 108084, upload-time = "2026-03-25T20:21:18.978Z" }, + { url = "https://files.pythonhosted.org/packages/b8/83/dceca96142499c069475b790e7913b1044c1a4337e700751f48ed723f883/tomli-2.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:c2541745709bad0264b7d4705ad453b76ccd191e64aa6f0fc66b69a293a45ece", size = 95285, upload-time = "2026-03-25T20:21:20.309Z" }, + { url = "https://files.pythonhosted.org/packages/c1/ba/42f134a3fe2b370f555f44b1d72feebb94debcab01676bf918d0cb70e9aa/tomli-2.4.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c742f741d58a28940ce01d58f0ab2ea3ced8b12402f162f4d534dfe18ba1cd6a", size = 155924, upload-time = "2026-03-25T20:21:21.626Z" }, + { url = "https://files.pythonhosted.org/packages/dc/c7/62d7a17c26487ade21c5422b646110f2162f1fcc95980ef7f63e73c68f14/tomli-2.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7f86fd587c4ed9dd76f318225e7d9b29cfc5a9d43de44e5754db8d1128487085", size = 150018, upload-time = "2026-03-25T20:21:23.002Z" }, + { url = "https://files.pythonhosted.org/packages/5c/05/79d13d7c15f13bdef410bdd49a6485b1c37d28968314eabee452c22a7fda/tomli-2.4.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ff18e6a727ee0ab0388507b89d1bc6a22b138d1e2fa56d1ad494586d61d2eae9", size = 244948, upload-time = "2026-03-25T20:21:24.04Z" }, + { url = "https://files.pythonhosted.org/packages/10/90/d62ce007a1c80d0b2c93e02cab211224756240884751b94ca72df8a875ca/tomli-2.4.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:136443dbd7e1dee43c68ac2694fde36b2849865fa258d39bf822c10e8068eac5", size = 253341, upload-time = "2026-03-25T20:21:25.177Z" }, + { url = "https://files.pythonhosted.org/packages/1a/7e/caf6496d60152ad4ed09282c1885cca4eea150bfd007da84aea07bcc0a3e/tomli-2.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5e262d41726bc187e69af7825504c933b6794dc3fbd5945e41a79bb14c31f585", size = 248159, upload-time = "2026-03-25T20:21:26.364Z" }, + { url = "https://files.pythonhosted.org/packages/99/e7/c6f69c3120de34bbd882c6fba7975f3d7a746e9218e56ab46a1bc4b42552/tomli-2.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5cb41aa38891e073ee49d55fbc7839cfdb2bc0e600add13874d048c94aadddd1", size = 253290, upload-time = "2026-03-25T20:21:27.46Z" }, + { url = "https://files.pythonhosted.org/packages/d6/2f/4a3c322f22c5c66c4b836ec58211641a4067364f5dcdd7b974b4c5da300c/tomli-2.4.1-cp312-cp312-win32.whl", hash = "sha256:da25dc3563bff5965356133435b757a795a17b17d01dbc0f42fb32447ddfd917", size = 98141, upload-time = "2026-03-25T20:21:28.492Z" }, + { url = "https://files.pythonhosted.org/packages/24/22/4daacd05391b92c55759d55eaee21e1dfaea86ce5c571f10083360adf534/tomli-2.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:52c8ef851d9a240f11a88c003eacb03c31fc1c9c4ec64a99a0f922b93874fda9", size = 108847, upload-time = "2026-03-25T20:21:29.386Z" }, + { url = "https://files.pythonhosted.org/packages/68/fd/70e768887666ddd9e9f5d85129e84910f2db2796f9096aa02b721a53098d/tomli-2.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:f758f1b9299d059cc3f6546ae2af89670cb1c4d48ea29c3cacc4fe7de3058257", size = 95088, upload-time = "2026-03-25T20:21:30.677Z" }, + { url = "https://files.pythonhosted.org/packages/07/06/b823a7e818c756d9a7123ba2cda7d07bc2dd32835648d1a7b7b7a05d848d/tomli-2.4.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:36d2bd2ad5fb9eaddba5226aa02c8ec3fa4f192631e347b3ed28186d43be6b54", size = 155866, upload-time = "2026-03-25T20:21:31.65Z" }, + { url = "https://files.pythonhosted.org/packages/14/6f/12645cf7f08e1a20c7eb8c297c6f11d31c1b50f316a7e7e1e1de6e2e7b7e/tomli-2.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:eb0dc4e38e6a1fd579e5d50369aa2e10acfc9cace504579b2faabb478e76941a", size = 149887, upload-time = "2026-03-25T20:21:33.028Z" }, + { url = "https://files.pythonhosted.org/packages/5c/e0/90637574e5e7212c09099c67ad349b04ec4d6020324539297b634a0192b0/tomli-2.4.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c7f2c7f2b9ca6bdeef8f0fa897f8e05085923eb091721675170254cbc5b02897", size = 243704, upload-time = "2026-03-25T20:21:34.51Z" }, + { url = "https://files.pythonhosted.org/packages/10/8f/d3ddb16c5a4befdf31a23307f72828686ab2096f068eaf56631e136c1fdd/tomli-2.4.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f3c6818a1a86dd6dca7ddcaaf76947d5ba31aecc28cb1b67009a5877c9a64f3f", size = 251628, upload-time = "2026-03-25T20:21:36.012Z" }, + { url = "https://files.pythonhosted.org/packages/e3/f1/dbeeb9116715abee2485bf0a12d07a8f31af94d71608c171c45f64c0469d/tomli-2.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d312ef37c91508b0ab2cee7da26ec0b3ed2f03ce12bd87a588d771ae15dcf82d", size = 247180, upload-time = "2026-03-25T20:21:37.136Z" }, + { url = "https://files.pythonhosted.org/packages/d3/74/16336ffd19ed4da28a70959f92f506233bd7cfc2332b20bdb01591e8b1d1/tomli-2.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:51529d40e3ca50046d7606fa99ce3956a617f9b36380da3b7f0dd3dd28e68cb5", size = 251674, upload-time = "2026-03-25T20:21:38.298Z" }, + { url = "https://files.pythonhosted.org/packages/16/f9/229fa3434c590ddf6c0aa9af64d3af4b752540686cace29e6281e3458469/tomli-2.4.1-cp313-cp313-win32.whl", hash = "sha256:2190f2e9dd7508d2a90ded5ed369255980a1bcdd58e52f7fe24b8162bf9fedbd", size = 97976, upload-time = "2026-03-25T20:21:39.316Z" }, + { url = "https://files.pythonhosted.org/packages/6a/1e/71dfd96bcc1c775420cb8befe7a9d35f2e5b1309798f009dca17b7708c1e/tomli-2.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:8d65a2fbf9d2f8352685bc1364177ee3923d6baf5e7f43ea4959d7d8bc326a36", size = 108755, upload-time = "2026-03-25T20:21:40.248Z" }, + { url = "https://files.pythonhosted.org/packages/83/7a/d34f422a021d62420b78f5c538e5b102f62bea616d1d75a13f0a88acb04a/tomli-2.4.1-cp313-cp313-win_arm64.whl", hash = "sha256:4b605484e43cdc43f0954ddae319fb75f04cc10dd80d830540060ee7cd0243cd", size = 95265, upload-time = "2026-03-25T20:21:41.219Z" }, + { url = "https://files.pythonhosted.org/packages/7b/61/cceae43728b7de99d9b847560c262873a1f6c98202171fd5ed62640b494b/tomli-2.4.1-py3-none-any.whl", hash = "sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe", size = 14583, upload-time = "2026-03-25T20:22:03.012Z" }, +] + +[[package]] +name = "tornado" +version = "6.5.7" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/64/24/95ec527ad67b76d59299e5465b3935d05e4294b7e0290a3924b7487df30b/tornado-6.5.7.tar.gz", hash = "sha256:66c513a76cda70d53907bc27cf1447557699c2e95aa48ba27a442ff61c3ddfc2", size = 519252, upload-time = "2026-06-08T17:34:51.232Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/02/dc/c7043cab6fed8ae159fc1923ce829ada35c4dbd797d408a43858ffaf9639/tornado-6.5.7-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:148b2eb15c2c765a50796172c1e499649b35f30d2e3c3d3e15913cfa56bfb163", size = 448543, upload-time = "2026-06-08T17:34:38.052Z" }, + { url = "https://files.pythonhosted.org/packages/92/4f/090b1431e5a43df696feceffc268c5383cc079ecb5f08ce58f917109aafe/tornado-6.5.7-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9da38de27f1da3b78a966f0dae12b5a1ea9afe72ca805d84ff06508272ddf100", size = 446707, upload-time = "2026-06-08T17:34:39.594Z" }, + { url = "https://files.pythonhosted.org/packages/37/d8/ef374952fd5da67d4463122c2b8e5a96536ec10b4b339254c6dcde81d01c/tornado-6.5.7-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:8d759e71906ee783f8867b93bf26a265743da4c1e2f4a018464c1ba019862972", size = 449774, upload-time = "2026-06-08T17:34:41.204Z" }, + { url = "https://files.pythonhosted.org/packages/35/37/d434c73f4c6e014b745b9b37085f34f40c022f007efff3d7fe65991899f3/tornado-6.5.7-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a46347a18f23fb92b396beebe0fb78f61dda0cc302445202c16203d8a18848b", size = 450745, upload-time = "2026-06-08T17:34:42.531Z" }, + { url = "https://files.pythonhosted.org/packages/b6/2b/56b9aff361d7f1ab728a805ec7d7ea835f8807afa9f5cc690ea0e630efb9/tornado-6.5.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:7778b30bef919231265e91c69963ce0f49a1e9c07ac900bbe75b19ce2575ba92", size = 450578, upload-time = "2026-06-08T17:34:43.787Z" }, + { url = "https://files.pythonhosted.org/packages/02/30/a7444fb23aa76860a14198fab96ac79f1866b0a6e19e26c4381b0938e50f/tornado-6.5.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e726f0c75da7726eec023aa62751ff8878bd2737e34fbdd33b1ae5897d2200f5", size = 449985, upload-time = "2026-06-08T17:34:45.326Z" }, + { url = "https://files.pythonhosted.org/packages/5c/42/5f0e56c01e8d9d36f4e23f367b85ae6cae0c1ecddd5e6977d8388ad27488/tornado-6.5.7-cp39-abi3-win32.whl", hash = "sha256:f8de3bf12d3efdd0cbe7c8887868198f8a91415e3f29fcf258d9b8eb7b1d9ae4", size = 451047, upload-time = "2026-06-08T17:34:46.784Z" }, + { url = "https://files.pythonhosted.org/packages/c9/a4/b393076ffb21b469eec5b328a0534cf03a3b90bfc6b1f09507cdd075d938/tornado-6.5.7-cp39-abi3-win_amd64.whl", hash = "sha256:de942f843533a039ef9fa3d9c88c7cd8a7c94553fb5ad0154270989b3d99a2c4", size = 451485, upload-time = "2026-06-08T17:34:48.248Z" }, + { url = "https://files.pythonhosted.org/packages/71/2e/7b1c769803121b809112cf9a00681c472eae1d80e32d7ec0e0bd61d0d0e1/tornado-6.5.7-cp39-abi3-win_arm64.whl", hash = "sha256:ff934fce95643af5f11efdae618eaa73d469dc588641e5c8d19295a0c65c4796", size = 450506, upload-time = "2026-06-08T17:34:49.702Z" }, +] + +[[package]] +name = "traitlets" +version = "5.15.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/a9/a2584b8313b89f94869ddb3c4074617a691de1812a614d2d50e32ca5a7a6/traitlets-5.15.1.tar.gz", hash = "sha256:7b1c07854fe25acb39e009bae49f11b79ff6cbb2f27999104e9110e7a6b53722", size = 163344, upload-time = "2026-06-03T12:26:06.181Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/96/8d/1080ee4c231f361b6ce4470d556c8c435b67c7e0753aaa641497ee92f88b/traitlets-5.15.1-py3-none-any.whl", hash = "sha256:770a53705f84b81ac107e83a1b3328ff2dae16094d8fc3cfc004e4b22dfd8e92", size = 85858, upload-time = "2026-06-03T12:26:04.395Z" }, +] + +[[package]] +name = "typing-extensions" +version = "4.16.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f6/cc/6253133b5bb138fc3306cebfbda2c520f545d36b5be2c7255cc528bb45d6/typing_extensions-4.16.0.tar.gz", hash = "sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5", size = 113555, upload-time = "2026-07-02T08:40:05.92Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/49/d3/b8441a820a491ddfc024b0b0cf0393375b75ea13866d9c66727e54c2fc80/typing_extensions-4.16.0-py3-none-any.whl", hash = "sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8", size = 45571, upload-time = "2026-07-02T08:40:04.659Z" }, +] + +[[package]] +name = "tzdata" +version = "2026.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/92/ff/5a28bdfd8c3ebec42564ac7d0e54ca3db65044a9314a97f9564fa7a1e926/tzdata-2026.3.tar.gz", hash = "sha256:4a1518b8993086a7982523e071643f3c0e5f213e75b21318e78bcabfff9d1415", size = 198674, upload-time = "2026-07-10T08:50:37.887Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e5/6d/b53b99a9f2766d095985947a5782f1702cabb129a34f7a802d7197af832f/tzdata-2026.3-py2.py3-none-any.whl", hash = "sha256:dc096730c87af6cab1b171c9d532be840741ff5d459015e7f6947bd7d7e54931", size = 348168, upload-time = "2026-07-10T08:50:36.46Z" }, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload-time = "2023-06-21T01:49:05.374Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload-time = "2023-06-21T01:49:03.467Z" }, +] + +[[package]] +name = "urllib3" +version = "2.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" }, +] + +[[package]] +name = "wcwidth" +version = "0.8.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/34/74/c6428f875774288bec1396f5bfcbc2d925700a4dad61727fd5f2b12f249d/wcwidth-0.8.2.tar.gz", hash = "sha256:91fbef97204b96a3d4d421609b80340b760cf33e26da123ff243d76b1fda8dda", size = 1466253, upload-time = "2026-06-29T18:11:11.601Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/96/42/3e5985a0a7e57de470b320c6d6a1a67c844f6737a587f3d44dd13d1819e7/wcwidth-0.8.2-py3-none-any.whl", hash = "sha256:d63947694a0539a1d51e01eda7caf800c291020e6cdd7e28ad7b14dd33ad4f85", size = 323166, upload-time = "2026-06-29T18:11:09.888Z" }, +] + +[[package]] +name = "webcolors" +version = "25.10.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1d/7a/eb316761ec35664ea5174709a68bbd3389de60d4a1ebab8808bfc264ed67/webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf", size = 53491, upload-time = "2025-10-31T07:51:03.977Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e2/cc/e097523dd85c9cf5d354f78310927f1656c422bd7b2613b2db3e3f9a0f2c/webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d", size = 14905, upload-time = "2025-10-31T07:51:01.778Z" }, +] + +[[package]] +name = "webencodings" +version = "0.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload-time = "2017-04-05T20:21:34.189Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" }, +] + +[[package]] +name = "websocket-client" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c3b39865b12251e8e7d239f4cd0e3cc1b6c2ccde25c1/websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98", size = 70576, upload-time = "2025-10-07T21:16:36.495Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload-time = "2025-10-07T21:16:34.951Z" }, +] From 54081ba39a5f800d5d95a7f2903556bf151e763e Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 10:47:51 -0400 Subject: [PATCH 06/14] Refactor input settings and remove deprecated parameters from YAML files and code --- resources/default_plotsettings.yml | 2 +- .../examples/MANTA/POPCON_input_example.yaml | 5 +- resources/examples/NSF/NSF_POPCON.yaml | 3 -- .../NSF_NT_CMOD/POPCON_input_example.yaml | 3 -- .../examples/SPARC/POPCON_input_example.yaml | 3 -- .../radiative_ARC/POPCON_input_example.yaml | 3 -- src/openpopcon.py | 49 ++++++++++--------- 7 files changed, 29 insertions(+), 39 deletions(-) diff --git a/resources/default_plotsettings.yml b/resources/default_plotsettings.yml index ab47282..e92242f 100644 --- a/resources/default_plotsettings.yml +++ b/resources/default_plotsettings.yml @@ -8,7 +8,7 @@ xax: "T_i_av" # x-axis variable; T_i_av for average ion temperature, # T_e_av for average electron temperature, # T_e_ax for maximum electron temperature figsize: [8, 6] # figure size in inches -fill_invalid: True # fill invalid values with gray +fill_invalid: True # shade points with no physical solution #---------------------- # Options per output diff --git a/resources/examples/MANTA/POPCON_input_example.yaml b/resources/examples/MANTA/POPCON_input_example.yaml index 990398d..761c15e 100644 --- a/resources/examples/MANTA/POPCON_input_example.yaml +++ b/resources/examples/MANTA/POPCON_input_example.yaml @@ -8,7 +8,7 @@ name: "MANTA" R: 4.55 # major radius in meters a: 1.2 # minor radius in meters kappa: 1.4 # elongation -delta: -0.5 # triangularity +delta: -0.448 #---------------------- # I_P and q* can be calculated from each other. Pick one to specify: @@ -93,8 +93,5 @@ nmin_frac: 0.3 # minimum electron density as a fraction of the Greenwald density Tmax_keV: 11. # maximum volume-averaged temperature in keV Tmin_keV: 6. # minimum volume-averaged temperature in keV resistivity_model: "Jardin" # Jardin, Paz-Soldan or maximum (suggested: Jardin) -maxit: 1000 # maximum number of iterations -accel: 1.5 # acceleration factor -err: 1e-6 # error tolerance verbosity: 2 # 0 for no output, 1 for minimal output, 2 for verbose output parallel: True \ No newline at end of file diff --git a/resources/examples/NSF/NSF_POPCON.yaml b/resources/examples/NSF/NSF_POPCON.yaml index be00d7e..8217022 100644 --- a/resources/examples/NSF/NSF_POPCON.yaml +++ b/resources/examples/NSF/NSF_POPCON.yaml @@ -93,8 +93,5 @@ nmin_frac: 0.1 # minimum density as a fraction of the Greenwald density Tmax_keV: 2. # maximum volume-averaged temperature in keV Tmin_keV: 0.3 # minimum volume-averaged temperature in keV resistivity_model: "Jardin" # Jardin, Paz-Soldan or maximum (suggested: Jardin) -maxit: 2000 # maximum number of iterations -accel: 1. # acceleration factor -err: 1e-6 # error tolerance verbosity: 1 # 0 for no output, 1 for minimal output, 2 for verbose output parallel: False \ No newline at end of file diff --git a/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml b/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml index 03c2863..a59d183 100644 --- a/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml +++ b/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml @@ -93,8 +93,5 @@ nmin_frac: 0.3 # minimum density as a fraction of the Greenwald density Tmax_keV: 2. # maximum volume-averaged temperature in keV Tmin_keV: 0.3 # minimum volume-averaged temperature in keV resistivity_model: "Jardin" # Jardin, Paz-Soldan or maximum (suggested: Jardin) -maxit: 100000 # maximum number of iterations -accel: 1. # acceleration factor -err: 1e-6 # error tolerance verbosity: 1 # 0 for no output, 1 for minimal output, 2 for verbose output parallel: False \ No newline at end of file diff --git a/resources/examples/SPARC/POPCON_input_example.yaml b/resources/examples/SPARC/POPCON_input_example.yaml index 69d9e9f..f56b475 100644 --- a/resources/examples/SPARC/POPCON_input_example.yaml +++ b/resources/examples/SPARC/POPCON_input_example.yaml @@ -93,8 +93,5 @@ nmin_frac: 0.05 # minimum electron density as a fraction of the Greenwald densit Tmax_keV: 16. # maximum volume-averaged temperature in keV Tmin_keV: 3. # minimum volume-averaged temperature in keV resistivity_model: "Jardin" # Jardin, Paz-Soldan or maximum (suggested: Jardin) -maxit: 1000000 # maximum number of iterations -accel: 1.5 # acceleration factor -err: 1e-6 # error tolerance verbosity: 1 # 0 for no output, 1 for minimal output, 2 for verbose output parallel: True \ No newline at end of file diff --git a/resources/examples/radiative_ARC/POPCON_input_example.yaml b/resources/examples/radiative_ARC/POPCON_input_example.yaml index f00b7b4..53ef360 100644 --- a/resources/examples/radiative_ARC/POPCON_input_example.yaml +++ b/resources/examples/radiative_ARC/POPCON_input_example.yaml @@ -93,8 +93,5 @@ nmin_frac: 0.3 # minimum density as a fraction of the Greenwald density Tmax_keV: 15. # maximum volume-averaged temperature in keV Tmin_keV: 3 # minimum volume-averaged temperature in keV resistivity_model: "Jardin" # Jardin, Paz-Soldan or maximum (suggested: Jardin) -maxit: 100000 # maximum number of iterations -accel: 1.5 # acceleration factor -err: 1e-6 # error tolerance verbosity: 1 # 0 for no output, 1 for minimal output, 2 for verbose output parallel: False \ No newline at end of file diff --git a/src/openpopcon.py b/src/openpopcon.py index 459eb02..31a9be4 100644 --- a/src/openpopcon.py +++ b/src/openpopcon.py @@ -23,6 +23,7 @@ import yaml import json import os +import re from .lib.openpopcon_util import * import numba as nb from collections import namedtuple @@ -57,7 +58,16 @@ 'Ti_alpha1', 'Ti_alpha2', 'Ti_offset', 'Te_alpha1', 'Te_alpha2', 'Te_offset', 'Nn', 'NTi', 'nmax_frac', 'nmin_frac', 'Tmax_keV', 'Tmin_keV', - 'resistivity_model', 'maxit', 'accel', 'err', 'verbosity', 'parallel', + 'resistivity_model', 'verbosity', 'parallel', +} + +# keys that used to do something. They are still accepted so that older +# settings files keep working, but they are ignored, and saying so is more +# useful than reporting them as typos +DEPRECATED_SETTINGS_KEYS = { + 'maxit': "the solver is closed-form and does not iterate", + 'accel': "the solver is closed-form and does not iterate", + 'err': "the solver is closed-form and has no convergence tolerance", } DEFAULT_PLOTSETTINGS = get_POPCON_homedir(['resources','default_plotsettings.yml']) @@ -1183,9 +1193,6 @@ def read(self, filename: str) -> None: self.Tmax_keV = float(data['Tmax_keV']) self.Tmin_keV = float(data['Tmin_keV']) self.resistivity_model = str(safe_get(data,'resistivity_model','jardin')).lower() - self.maxit = int(data['maxit']) - self.accel = float(data['accel']) - self.err = float(data['err']) self.verbosity = int(data['verbosity']) self.parallel = bool(data['parallel']) except KeyError as e: @@ -1342,9 +1349,11 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile self.plotsettings: POPCON_plotsettings self.output: POPCON_data + # these are kept as absolute paths so that write_output can still copy + # them if the working directory has changed since construction if settingsfile is not None: self.settings = POPCON_settings(settingsfile) - self.settingsfile = settingsfile + self.settingsfile = os.path.abspath(settingsfile) else: pass @@ -1352,13 +1361,13 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile plotsettingsfile = DEFAULT_PLOTSETTINGS self.plotsettings = POPCON_plotsettings(plotsettingsfile) - self.plotsettingsfile = plotsettingsfile + self.plotsettingsfile = os.path.abspath(plotsettingsfile) if scalinglawfile is None: scalinglawfile = DEFAULT_SCALINGLAWS self.__get_scaling_laws(scalinglawfile) - self.scalinglawfile = scalinglawfile + self.scalinglawfile = os.path.abspath(scalinglawfile) self.__check_settings() @@ -1429,14 +1438,10 @@ def __solve(self) -> None: if self.settings.parallel: Paux, flags = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.accel, - self.settings.err, self.settings.maxit, - self.settings.verbosity) + n_e_20, T_i_keV, self.settings.verbosity) else: Paux, flags = solve_nT(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.accel, - self.settings.err, self.settings.maxit, - self.settings.verbosity) + n_e_20, T_i_keV, self.settings.verbosity) if self.settings.verbosity > 0: @@ -1766,7 +1771,8 @@ def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, dir parameter allows specifying the storage location. """ if name == '': - name = self.settings.name + '_' + datetime.datetime.now().strftime(r"%Y-%m-%d_%H:%M:%S") + stamp = datetime.datetime.now().strftime(r"%Y-%m-%d_%H-%M-%S") + name = re.sub(r'[^A-Za-z0-9._-]+', '_', self.settings.name) + '_' + stamp if directory is None: outputsdir = pathlib.Path(__file__).resolve().parent.parent.joinpath('outputs') @@ -1946,7 +1952,7 @@ def __get_geometry(self) -> None: geq_kappa = np.abs(np.max(lcfs[:,1]) - np.min(lcfs[:,1]))/(2*geq_a) geq_Rtop = lcfs[np.argmax(lcfs[:,1]),0] geq_Rbot = lcfs[np.argmin(lcfs[:,1]),0] - geq_delta = ((geq_R-geq_Rtop)/geq_a + (geq_R-geq_Rtop)/geq_a)/2 + geq_delta = ((geq_R-geq_Rtop)/geq_a + (geq_R-geq_Rbot)/geq_a)/2 @@ -2068,7 +2074,10 @@ def __check_settings(self) -> None: if ('Zeff_target' in keys) != ('impurity' in keys): warn.append("Zeff_target and impurity must both be given to set an impurity " "fraction from Z_eff; specifying only one has no effect.") - unknown = keys - KNOWN_SETTINGS_KEYS + for key in sorted(keys & set(DEPRECATED_SETTINGS_KEYS)): + warn.append(f"{key} is no longer used, because {DEPRECATED_SETTINGS_KEYS[key]}. " + f"You can delete it from the settings file.") + unknown = keys - KNOWN_SETTINGS_KEYS - set(DEPRECATED_SETTINGS_KEYS) if unknown: warn.append(f"unrecognized settings, which are ignored: {', '.join(sorted(unknown))}.") @@ -2089,9 +2098,7 @@ def update_plotsettings(self, plotsettingsfile = None): @nb.njit(parallel=True, cache=True) def solve_nT_par(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, - accel:float=1.2, err:float=1e-5, - maxit:int=1000, verbosity=1): + n_e_20:np.ndarray, T_i_keV:np.ndarray, verbosity=1): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. @@ -2111,9 +2118,7 @@ def solve_nT_par(state, nn:int, nT:int, @nb.njit(parallel=False, cache=True) def solve_nT(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, - accel:float=1.2, err:float=1e-5, - maxit:int=1000, verbosity=1): + n_e_20:np.ndarray, T_i_keV:np.ndarray, verbosity=1): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. From a8a04cb4897398171a9c06d87278753402586865 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 14:11:22 -0400 Subject: [PATCH 07/14] Move resources and rename core --- openpopcon/__init__.py | 41 + openpopcon/cli.py | 61 + src/openpopcon.py => openpopcon/core.py | 0 openpopcon/lib/__init__.py | 0 {src => openpopcon}/lib/neat_json_encoder.py | 0 {src => openpopcon}/lib/openpopcon_util.py | 0 {src => openpopcon}/lib/phys_lib.py | 0 .../resources}/default_plotsettings.yml | 0 .../examples/MANTA/POPCON_input_example.yaml | 0 .../resources}/examples/MANTA/gMANTA | 0 .../resources}/examples/MANTA/manta_ex.ipynb | 0 .../examples/MANTA/plotsettings.yml | 0 .../resources}/examples/MANTA/profsMANTA.csv | 0 .../resources}/examples/NSF/NSF_POPCON.yaml | 0 .../resources}/examples/NSF/NSF_run.ipynb | 0 .../resources}/examples/NSF/gNSF | 0 .../examples/NSF/makeNSFprofiles.py | 0 .../resources}/examples/NSF/pNSF.csv | 0 .../resources}/examples/NSF/plotsettings.yml | 0 .../NSF_NT_CMOD/POPCON_input_example.yaml | 0 .../examples/NSF_NT_CMOD/plotsettings.yml | 0 .../examples/SPARC/POPCON_input_example.yaml | 0 .../resources}/examples/SPARC/SPARC_EX.ipynb | 0 .../examples/SPARC/plotsettings.yml | 0 .../radiative_ARC/POPCON_input_example.yaml | 0 .../examples/radiative_ARC/plotsettings.yml | 0 .../resources}/scalinglaws.yml | 0 resources/examples/NSF/gNSF_Guizzo | 18561 ---------------- 28 files changed, 102 insertions(+), 18561 deletions(-) create mode 100644 openpopcon/__init__.py create mode 100644 openpopcon/cli.py rename src/openpopcon.py => openpopcon/core.py (100%) create mode 100644 openpopcon/lib/__init__.py rename {src => openpopcon}/lib/neat_json_encoder.py (100%) rename {src => openpopcon}/lib/openpopcon_util.py (100%) rename {src => openpopcon}/lib/phys_lib.py (100%) rename {resources => openpopcon/resources}/default_plotsettings.yml (100%) rename {resources => openpopcon/resources}/examples/MANTA/POPCON_input_example.yaml (100%) rename {resources => openpopcon/resources}/examples/MANTA/gMANTA (100%) rename {resources => openpopcon/resources}/examples/MANTA/manta_ex.ipynb (100%) rename {resources => openpopcon/resources}/examples/MANTA/plotsettings.yml (100%) rename {resources => openpopcon/resources}/examples/MANTA/profsMANTA.csv (100%) rename {resources => openpopcon/resources}/examples/NSF/NSF_POPCON.yaml (100%) rename {resources => openpopcon/resources}/examples/NSF/NSF_run.ipynb (100%) rename {resources => openpopcon/resources}/examples/NSF/gNSF (100%) rename {resources => openpopcon/resources}/examples/NSF/makeNSFprofiles.py (100%) rename {resources => openpopcon/resources}/examples/NSF/pNSF.csv (100%) rename {resources => openpopcon/resources}/examples/NSF/plotsettings.yml (100%) rename {resources => openpopcon/resources}/examples/NSF_NT_CMOD/POPCON_input_example.yaml (100%) rename {resources => openpopcon/resources}/examples/NSF_NT_CMOD/plotsettings.yml (100%) rename {resources => openpopcon/resources}/examples/SPARC/POPCON_input_example.yaml (100%) rename {resources => openpopcon/resources}/examples/SPARC/SPARC_EX.ipynb (100%) rename {resources => openpopcon/resources}/examples/SPARC/plotsettings.yml (100%) rename {resources => openpopcon/resources}/examples/radiative_ARC/POPCON_input_example.yaml (100%) rename {resources => openpopcon/resources}/examples/radiative_ARC/plotsettings.yml (100%) rename {resources => openpopcon/resources}/scalinglaws.yml (100%) delete mode 100644 resources/examples/NSF/gNSF_Guizzo diff --git a/openpopcon/__init__.py b/openpopcon/__init__.py new file mode 100644 index 0000000..51376f8 --- /dev/null +++ b/openpopcon/__init__.py @@ -0,0 +1,41 @@ +""" +OpenPOPCON: a 0-D tokamak scoping tool. + + import openpopcon as op + pc = op.POPCON(settingsfile='POPCON_input_example.yaml') + pc.run_POPCON() + pc.plot() + +Copies of the worked examples can be written somewhere editable with + + openpopcon examples ./my_scans + +Names not listed here live in openpopcon.core, which is importable if you need +the physics functions or the State namedtuple directly. +""" + +from .core import ( + POPCON, + POPCON_scan, + POPCON_settings, + POPCON_plotsettings, + POPCON_data, + POPCON_algorithms, + POPCON_data_spec, +) +from .lib.openpopcon_util import example_dir, list_examples + +__version__ = "2.0.0" + +__all__ = [ + 'POPCON', + 'POPCON_scan', + 'POPCON_settings', + 'POPCON_plotsettings', + 'POPCON_data', + 'POPCON_algorithms', + 'POPCON_data_spec', + 'example_dir', + 'list_examples', + '__version__', +] diff --git a/openpopcon/cli.py b/openpopcon/cli.py new file mode 100644 index 0000000..cca5629 --- /dev/null +++ b/openpopcon/cli.py @@ -0,0 +1,61 @@ +""" +Command line entry point. Currently just copies the worked examples somewhere +editable, since the installed copies live inside site-packages. +""" +import argparse +import pathlib +import shutil +import sys + +from .lib.openpopcon_util import example_dir, list_examples + + +def _copy_examples(dest: pathlib.Path, force: bool, which=None) -> int: + names = which or list_examples() + unknown = [n for n in names if n not in list_examples()] + if unknown: + print(f"No example named {', '.join(unknown)}. " + f"Available: {', '.join(list_examples())}.", file=sys.stderr) + return 1 + + existing = [n for n in names if dest.joinpath(n).exists()] + if existing and not force: + print(f"{dest}{pathlib.os.sep}{{{','.join(existing)}}} already exists. " + f"Use --force to overwrite.", file=sys.stderr) + return 1 + + dest.mkdir(parents=True, exist_ok=True) + for name in names: + target = dest.joinpath(name) + if target.exists(): + shutil.rmtree(target) + shutil.copytree(example_dir(name), target) + print(f" {target}") + print(f"\nCopied {len(names)} example(s). To run one:\n" + f" cd {dest.joinpath(names[0])}\n" + f" python -c \"import openpopcon as op; " + f"pc = op.POPCON(settingsfile='POPCON_input_example.yaml', " + f"plotsettingsfile='plotsettings.yml'); pc.run_POPCON(); pc.plot()\"") + return 0 + + +def main(argv=None) -> int: + parser = argparse.ArgumentParser( + prog='openpopcon', description='0-D tokamak scoping tool.') + sub = parser.add_subparsers(dest='command', required=True) + + ex = sub.add_parser('examples', help='copy the worked examples somewhere editable') + ex.add_argument('dest', nargs='?', default='./openpopcon_examples', + help='where to copy them (default: ./openpopcon_examples)') + ex.add_argument('--force', action='store_true', help='overwrite existing copies') + ex.add_argument('--only', nargs='+', metavar='NAME', + help=f'copy only these (of: {", ".join(list_examples())})') + + args = parser.parse_args(argv) + if args.command == 'examples': + return _copy_examples(pathlib.Path(args.dest), args.force, args.only) + return 1 + + +if __name__ == '__main__': + sys.exit(main()) diff --git a/src/openpopcon.py b/openpopcon/core.py similarity index 100% rename from src/openpopcon.py rename to openpopcon/core.py diff --git a/openpopcon/lib/__init__.py b/openpopcon/lib/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/lib/neat_json_encoder.py b/openpopcon/lib/neat_json_encoder.py similarity index 100% rename from src/lib/neat_json_encoder.py rename to openpopcon/lib/neat_json_encoder.py diff --git a/src/lib/openpopcon_util.py b/openpopcon/lib/openpopcon_util.py similarity index 100% rename from src/lib/openpopcon_util.py rename to openpopcon/lib/openpopcon_util.py diff --git a/src/lib/phys_lib.py b/openpopcon/lib/phys_lib.py similarity index 100% rename from src/lib/phys_lib.py rename to openpopcon/lib/phys_lib.py diff --git a/resources/default_plotsettings.yml b/openpopcon/resources/default_plotsettings.yml similarity index 100% rename from resources/default_plotsettings.yml rename to openpopcon/resources/default_plotsettings.yml diff --git a/resources/examples/MANTA/POPCON_input_example.yaml b/openpopcon/resources/examples/MANTA/POPCON_input_example.yaml similarity index 100% rename from resources/examples/MANTA/POPCON_input_example.yaml rename to openpopcon/resources/examples/MANTA/POPCON_input_example.yaml diff --git a/resources/examples/MANTA/gMANTA b/openpopcon/resources/examples/MANTA/gMANTA similarity index 100% rename from resources/examples/MANTA/gMANTA rename to openpopcon/resources/examples/MANTA/gMANTA diff --git a/resources/examples/MANTA/manta_ex.ipynb b/openpopcon/resources/examples/MANTA/manta_ex.ipynb similarity index 100% rename from resources/examples/MANTA/manta_ex.ipynb rename to openpopcon/resources/examples/MANTA/manta_ex.ipynb diff --git a/resources/examples/MANTA/plotsettings.yml b/openpopcon/resources/examples/MANTA/plotsettings.yml similarity index 100% rename from resources/examples/MANTA/plotsettings.yml rename to openpopcon/resources/examples/MANTA/plotsettings.yml diff --git a/resources/examples/MANTA/profsMANTA.csv b/openpopcon/resources/examples/MANTA/profsMANTA.csv similarity index 100% rename from resources/examples/MANTA/profsMANTA.csv rename to openpopcon/resources/examples/MANTA/profsMANTA.csv diff --git a/resources/examples/NSF/NSF_POPCON.yaml b/openpopcon/resources/examples/NSF/NSF_POPCON.yaml similarity index 100% rename from resources/examples/NSF/NSF_POPCON.yaml rename to openpopcon/resources/examples/NSF/NSF_POPCON.yaml diff --git a/resources/examples/NSF/NSF_run.ipynb b/openpopcon/resources/examples/NSF/NSF_run.ipynb similarity index 100% rename from resources/examples/NSF/NSF_run.ipynb rename to openpopcon/resources/examples/NSF/NSF_run.ipynb diff --git a/resources/examples/NSF/gNSF b/openpopcon/resources/examples/NSF/gNSF similarity index 100% rename from resources/examples/NSF/gNSF rename to openpopcon/resources/examples/NSF/gNSF diff --git a/resources/examples/NSF/makeNSFprofiles.py b/openpopcon/resources/examples/NSF/makeNSFprofiles.py similarity index 100% rename from resources/examples/NSF/makeNSFprofiles.py rename to openpopcon/resources/examples/NSF/makeNSFprofiles.py diff --git a/resources/examples/NSF/pNSF.csv b/openpopcon/resources/examples/NSF/pNSF.csv similarity index 100% rename from resources/examples/NSF/pNSF.csv rename to openpopcon/resources/examples/NSF/pNSF.csv diff --git a/resources/examples/NSF/plotsettings.yml b/openpopcon/resources/examples/NSF/plotsettings.yml similarity index 100% rename from resources/examples/NSF/plotsettings.yml rename to openpopcon/resources/examples/NSF/plotsettings.yml diff --git a/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml b/openpopcon/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml similarity index 100% rename from resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml rename to openpopcon/resources/examples/NSF_NT_CMOD/POPCON_input_example.yaml diff --git a/resources/examples/NSF_NT_CMOD/plotsettings.yml b/openpopcon/resources/examples/NSF_NT_CMOD/plotsettings.yml similarity index 100% rename from resources/examples/NSF_NT_CMOD/plotsettings.yml rename to openpopcon/resources/examples/NSF_NT_CMOD/plotsettings.yml diff --git a/resources/examples/SPARC/POPCON_input_example.yaml b/openpopcon/resources/examples/SPARC/POPCON_input_example.yaml similarity index 100% rename from resources/examples/SPARC/POPCON_input_example.yaml rename to openpopcon/resources/examples/SPARC/POPCON_input_example.yaml diff --git a/resources/examples/SPARC/SPARC_EX.ipynb b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb similarity index 100% rename from resources/examples/SPARC/SPARC_EX.ipynb rename to openpopcon/resources/examples/SPARC/SPARC_EX.ipynb diff --git a/resources/examples/SPARC/plotsettings.yml b/openpopcon/resources/examples/SPARC/plotsettings.yml similarity index 100% rename from resources/examples/SPARC/plotsettings.yml rename to openpopcon/resources/examples/SPARC/plotsettings.yml diff --git a/resources/examples/radiative_ARC/POPCON_input_example.yaml b/openpopcon/resources/examples/radiative_ARC/POPCON_input_example.yaml similarity index 100% rename from resources/examples/radiative_ARC/POPCON_input_example.yaml rename to openpopcon/resources/examples/radiative_ARC/POPCON_input_example.yaml diff --git a/resources/examples/radiative_ARC/plotsettings.yml b/openpopcon/resources/examples/radiative_ARC/plotsettings.yml similarity index 100% rename from resources/examples/radiative_ARC/plotsettings.yml rename to openpopcon/resources/examples/radiative_ARC/plotsettings.yml diff --git a/resources/scalinglaws.yml b/openpopcon/resources/scalinglaws.yml similarity index 100% rename from resources/scalinglaws.yml rename to openpopcon/resources/scalinglaws.yml diff --git a/resources/examples/NSF/gNSF_Guizzo b/resources/examples/NSF/gNSF_Guizzo deleted file mode 100644 index 1722754..0000000 --- a/resources/examples/NSF/gNSF_Guizzo +++ /dev/null @@ -1,18561 +0,0 @@ -TokaMaker: 0 300 300 - 0.918528735E+00 0.163882490E+01 0.103734798E+01 0.627490149E+00 0.000000000E+00 - 0.103734798E+01-0.589172182E-04-0.692170497E+00-0.796073813E+00 0.289199000E+01 - 0.750000714E+06-0.692170497E+00 0.000000000E+00 0.103734798E+01 0.000000000E+00 --0.589172182E-04 0.000000000E+00-0.796073813E+00 0.000000000E+00 0.000000000E+00 - 0.306373843E+01 0.306340050E+01 0.306306258E+01 0.306272465E+01 0.306238673E+01 - 0.306204880E+01 0.306171087E+01 0.306137294E+01 0.306103501E+01 0.306069714E+01 - 0.306035934E+01 0.306002162E+01 0.305968396E+01 0.305934637E+01 0.305900886E+01 - 0.305867142E+01 0.305833406E+01 0.305799685E+01 0.305765978E+01 0.305732285E+01 - 0.305698607E+01 0.305664943E+01 0.305631294E+01 0.305597659E+01 0.305564042E+01 - 0.305530447E+01 0.305496873E+01 0.305463322E+01 0.305429791E+01 0.305396283E+01 - 0.305362796E+01 0.305329332E+01 0.305295894E+01 0.305262486E+01 0.305229107E+01 - 0.305195756E+01 0.305162435E+01 0.305129143E+01 0.305095879E+01 0.305062646E+01 - 0.305029449E+01 0.304996288E+01 0.304963164E+01 0.304930076E+01 0.304897023E+01 - 0.304864008E+01 0.304831028E+01 0.304798088E+01 0.304765192E+01 0.304732339E+01 - 0.304699530E+01 0.304666764E+01 0.304634041E+01 0.304601363E+01 0.304568728E+01 - 0.304536142E+01 0.304503607E+01 0.304471122E+01 0.304438688E+01 0.304406305E+01 - 0.304373973E+01 0.304341691E+01 0.304309462E+01 0.304277290E+01 0.304245176E+01 - 0.304213120E+01 0.304181122E+01 0.304149182E+01 0.304117299E+01 0.304085475E+01 - 0.304053712E+01 0.304022014E+01 0.303990381E+01 0.303958813E+01 0.303927310E+01 - 0.303895872E+01 0.303864499E+01 0.303833192E+01 0.303801955E+01 0.303770791E+01 - 0.303739698E+01 0.303708678E+01 0.303677729E+01 0.303646853E+01 0.303616049E+01 - 0.303585319E+01 0.303554667E+01 0.303524095E+01 0.303493602E+01 0.303463188E+01 - 0.303432853E+01 0.303402597E+01 0.303372420E+01 0.303342326E+01 0.303312319E+01 - 0.303282397E+01 0.303252561E+01 0.303222811E+01 0.303193148E+01 0.303163571E+01 - 0.303134080E+01 0.303104681E+01 0.303075374E+01 0.303046161E+01 0.303017040E+01 - 0.302988013E+01 0.302959078E+01 0.302930237E+01 0.302901490E+01 0.302872842E+01 - 0.302844294E+01 0.302815846E+01 0.302787497E+01 0.302759248E+01 0.302731099E+01 - 0.302703050E+01 0.302675104E+01 0.302647264E+01 0.302619531E+01 0.302591903E+01 - 0.302564383E+01 0.302536968E+01 0.302509660E+01 0.302482459E+01 0.302455370E+01 - 0.302428393E+01 0.302401529E+01 0.302374778E+01 0.302348140E+01 0.302321615E+01 - 0.302295203E+01 0.302268905E+01 0.302242726E+01 0.302216666E+01 0.302190726E+01 - 0.302164905E+01 0.302139203E+01 0.302113621E+01 0.302088158E+01 0.302062817E+01 - 0.302037602E+01 0.302012512E+01 0.301987548E+01 0.301962709E+01 0.301937996E+01 - 0.301913408E+01 0.301888946E+01 0.301864615E+01 0.301840414E+01 0.301816346E+01 - 0.301792409E+01 0.301768603E+01 0.301744929E+01 0.301721387E+01 0.301697978E+01 - 0.301674705E+01 0.301651570E+01 0.301628573E+01 0.301605712E+01 0.301582989E+01 - 0.301560404E+01 0.301537956E+01 0.301515648E+01 0.301493483E+01 0.301471461E+01 - 0.301449582E+01 0.301427846E+01 0.301406254E+01 0.301384804E+01 0.301363497E+01 - 0.301342338E+01 0.301321327E+01 0.301300464E+01 0.301279750E+01 0.301259184E+01 - 0.301238766E+01 0.301218497E+01 0.301198378E+01 0.301178411E+01 0.301158598E+01 - 0.301138939E+01 0.301119433E+01 0.301100080E+01 0.301080881E+01 0.301061835E+01 - 0.301042945E+01 0.301024213E+01 0.301005640E+01 0.300987225E+01 0.300968968E+01 - 0.300950869E+01 0.300932928E+01 0.300915146E+01 0.300897526E+01 0.300880068E+01 - 0.300862773E+01 0.300845641E+01 0.300828671E+01 0.300811864E+01 0.300795219E+01 - 0.300778739E+01 0.300762424E+01 0.300746276E+01 0.300730295E+01 0.300714481E+01 - 0.300698833E+01 0.300683352E+01 0.300668037E+01 0.300652892E+01 0.300637916E+01 - 0.300623110E+01 0.300608475E+01 0.300594010E+01 0.300579715E+01 0.300565591E+01 - 0.300551637E+01 0.300537856E+01 0.300524248E+01 0.300510813E+01 0.300497552E+01 - 0.300484463E+01 0.300471549E+01 0.300458807E+01 0.300446240E+01 0.300433848E+01 - 0.300421632E+01 0.300409591E+01 0.300397726E+01 0.300386038E+01 0.300374524E+01 - 0.300363187E+01 0.300352027E+01 0.300341044E+01 0.300330238E+01 0.300319610E+01 - 0.300309160E+01 0.300298887E+01 0.300288791E+01 0.300278874E+01 0.300269134E+01 - 0.300259573E+01 0.300250191E+01 0.300240987E+01 0.300231961E+01 0.300223114E+01 - 0.300214446E+01 0.300205956E+01 0.300197644E+01 0.300189511E+01 0.300181556E+01 - 0.300173779E+01 0.300166181E+01 0.300158762E+01 0.300151521E+01 0.300144457E+01 - 0.300137571E+01 0.300130862E+01 0.300124329E+01 0.300117974E+01 0.300111796E+01 - 0.300105795E+01 0.300099971E+01 0.300094322E+01 0.300088847E+01 0.300083545E+01 - 0.300078418E+01 0.300073465E+01 0.300068686E+01 0.300064081E+01 0.300059650E+01 - 0.300055387E+01 0.300051293E+01 0.300047367E+01 0.300043611E+01 0.300040023E+01 - 0.300036604E+01 0.300033354E+01 0.300030268E+01 0.300027343E+01 0.300024577E+01 - 0.300021971E+01 0.300019526E+01 0.300017240E+01 0.300015114E+01 0.300013148E+01 - 0.300011330E+01 0.300009656E+01 0.300008127E+01 0.300006744E+01 0.300005505E+01 - 0.300004410E+01 0.300003461E+01 0.300002648E+01 0.300001946E+01 0.300001351E+01 - 0.300000865E+01 0.300000486E+01 0.300000216E+01 0.300000054E+01 0.300000000E+01 - 0.147092648E+06 0.146304650E+06 0.145516737E+06 0.144728908E+06 0.143941164E+06 - 0.143153505E+06 0.142365929E+06 0.141578439E+06 0.140791042E+06 0.140003861E+06 - 0.139216933E+06 0.138430259E+06 0.137643837E+06 0.136857670E+06 0.136071755E+06 - 0.135286094E+06 0.134500723E+06 0.133715766E+06 0.132931230E+06 0.132147116E+06 - 0.131363424E+06 0.130580153E+06 0.129797305E+06 0.129014879E+06 0.128232958E+06 - 0.127451628E+06 0.126670888E+06 0.125890738E+06 0.125111178E+06 0.124332208E+06 - 0.123553828E+06 0.122776048E+06 0.121998988E+06 0.121222686E+06 0.120447141E+06 - 0.119672355E+06 0.118898326E+06 0.118125054E+06 0.117352540E+06 0.116580821E+06 - 0.115810018E+06 0.115040138E+06 0.114271184E+06 0.113503153E+06 0.112736048E+06 - 0.111969867E+06 0.111204610E+06 0.110440361E+06 0.109677202E+06 0.108915134E+06 - 0.108154156E+06 0.107394268E+06 0.106635471E+06 0.105877764E+06 0.105121157E+06 - 0.104365769E+06 0.103611635E+06 0.102858757E+06 0.102107134E+06 0.101356766E+06 - 0.100607653E+06 0.998597954E+05 0.991132293E+05 0.983680728E+05 0.976243349E+05 - 0.968820156E+05 0.961411149E+05 0.954016329E+05 0.946635694E+05 0.939269247E+05 - 0.931917795E+05 0.924582149E+05 0.917262308E+05 0.909958273E+05 0.902670045E+05 - 0.895397621E+05 0.888141004E+05 0.880900281E+05 0.873676611E+05 0.866470348E+05 - 0.859281494E+05 0.852110048E+05 0.844956009E+05 0.837819379E+05 0.830700158E+05 - 0.823598696E+05 0.816516137E+05 0.809452569E+05 0.802407993E+05 0.795382408E+05 - 0.788375814E+05 0.781388212E+05 0.774419601E+05 0.767470761E+05 0.760542475E+05 - 0.753634742E+05 0.746747561E+05 0.739880933E+05 0.733034858E+05 0.726209336E+05 - 0.719404452E+05 0.712621318E+05 0.705860273E+05 0.699121319E+05 0.692404456E+05 - 0.685709684E+05 0.679037001E+05 0.672386410E+05 0.665758245E+05 0.659153598E+05 - 0.652572552E+05 0.646015109E+05 0.639481267E+05 0.632971027E+05 0.626484389E+05 - 0.620021353E+05 0.613582659E+05 0.607169050E+05 0.600780524E+05 0.594417082E+05 - 0.588078724E+05 0.581765450E+05 0.575477260E+05 0.569214234E+05 0.562977420E+05 - 0.556767139E+05 0.550583393E+05 0.544426180E+05 0.538295500E+05 0.532191355E+05 - 0.526113743E+05 0.520062980E+05 0.514040086E+05 0.508045140E+05 0.502078143E+05 - 0.496139093E+05 0.490227992E+05 0.484344840E+05 0.478489635E+05 0.472663067E+05 - 0.466865822E+05 0.461097901E+05 0.455359304E+05 0.449650031E+05 0.443970082E+05 - 0.438319456E+05 0.432698229E+05 0.427107362E+05 0.421547151E+05 0.416017597E+05 - 0.410518700E+05 0.405050460E+05 0.399612876E+05 0.394205948E+05 0.388829963E+05 - 0.383485849E+05 0.378173678E+05 0.372893448E+05 0.367645161E+05 0.362428816E+05 - 0.357244414E+05 0.352091954E+05 0.346972053E+05 0.341885328E+05 0.336831780E+05 - 0.331811407E+05 0.326824211E+05 0.321870190E+05 0.316949346E+05 0.312061744E+05 - 0.307208232E+05 0.302389073E+05 0.297604266E+05 0.292853813E+05 0.288137711E+05 - 0.283455962E+05 0.278808566E+05 0.274195769E+05 0.269618376E+05 0.265076449E+05 - 0.260569987E+05 0.256098990E+05 0.251663459E+05 0.247263393E+05 0.242898792E+05 - 0.238570178E+05 0.234278071E+05 0.230022472E+05 0.225803380E+05 0.221620796E+05 - 0.217474720E+05 0.213365151E+05 0.209292143E+05 0.205256392E+05 0.201258111E+05 - 0.197297301E+05 0.193373961E+05 0.189488092E+05 0.185639694E+05 0.181828766E+05 - 0.178055503E+05 0.174320536E+05 0.170623914E+05 0.166965637E+05 0.163345705E+05 - 0.159764118E+05 0.156220875E+05 0.152715977E+05 0.149249810E+05 0.145822762E+05 - 0.142434832E+05 0.139086021E+05 0.135776327E+05 0.132505752E+05 0.129274295E+05 - 0.126081993E+05 0.122929321E+05 0.119816426E+05 0.116743307E+05 0.113709965E+05 - 0.110716400E+05 0.107762611E+05 0.104848599E+05 0.101974481E+05 0.991406347E+04 - 0.963470907E+04 0.935938486E+04 0.908809084E+04 0.882082702E+04 0.855759339E+04 - 0.829838995E+04 0.804323518E+04 0.779214754E+04 0.754512704E+04 0.730217368E+04 - 0.706328744E+04 0.682846835E+04 0.659771638E+04 0.637103257E+04 0.614843017E+04 - 0.592991326E+04 0.571548182E+04 0.550513587E+04 0.529887541E+04 0.509670043E+04 - 0.489861093E+04 0.470460596E+04 0.451468238E+04 0.432883996E+04 0.414707870E+04 - 0.396939859E+04 0.379579964E+04 0.362628185E+04 0.346084522E+04 0.329947332E+04 - 0.314214976E+04 0.298887452E+04 0.283964762E+04 0.269446904E+04 0.255333880E+04 - 0.241625688E+04 0.228321939E+04 0.215417567E+04 0.202911012E+04 0.190802274E+04 - 0.179091354E+04 0.167778251E+04 0.156862965E+04 0.146345497E+04 0.136223133E+04 - 0.126487057E+04 0.117136589E+04 0.108171730E+04 0.995924799E+03 0.913988389E+03 - 0.835908066E+03 0.761683833E+03 0.691214895E+03 0.624400448E+03 0.561240492E+03 - 0.501735027E+03 0.445884052E+03 0.393687568E+03 0.345145576E+03 0.300238781E+03 - 0.258716335E+03 0.220501047E+03 0.185592917E+03 0.153991945E+03 0.125698131E+03 - 0.100711475E+03 0.790319766E+02 0.604732338E+02 0.444293779E+02 0.308537961E+02 - 0.197464886E+02 0.111074552E+02 0.493669594E+01 0.123421089E+01 0.110333111E-08 - 0.297927602E+01 0.297895669E+01 0.297863735E+01 0.297831801E+01 0.297799868E+01 - 0.297767934E+01 0.297736000E+01 0.297704067E+01 0.297650854E+01 0.297555085E+01 - 0.297459315E+01 0.297363546E+01 0.297267776E+01 0.297172006E+01 0.297076237E+01 - 0.296980467E+01 0.296842204E+01 0.296682693E+01 0.296523182E+01 0.296363672E+01 - 0.296204161E+01 0.296044650E+01 0.295885139E+01 0.295725629E+01 0.295502535E+01 - 0.295279442E+01 0.295056348E+01 0.294833255E+01 0.294610161E+01 0.294387068E+01 - 0.294163974E+01 0.293919761E+01 0.293633308E+01 0.293346854E+01 0.293060401E+01 - 0.292773947E+01 0.292487494E+01 0.292201041E+01 0.291914587E+01 0.291586086E+01 - 0.291236561E+01 0.290887037E+01 0.290537512E+01 0.290187987E+01 0.289838462E+01 - 0.289488937E+01 0.289139412E+01 0.288727172E+01 0.288314931E+01 0.287902690E+01 - 0.287490449E+01 0.287078208E+01 0.286665967E+01 0.286253726E+01 0.285820722E+01 - 0.285346190E+01 0.284871657E+01 0.284397125E+01 0.283922592E+01 0.283448060E+01 - 0.282973528E+01 0.282498995E+01 0.281983266E+01 0.281446938E+01 0.280910609E+01 - 0.280374281E+01 0.279837953E+01 0.279301625E+01 0.278765296E+01 0.278228968E+01 - 0.277631414E+01 0.277033859E+01 0.276436305E+01 0.275838750E+01 0.275241196E+01 - 0.274643641E+01 0.274046086E+01 0.273428339E+01 0.272770205E+01 0.272112071E+01 - 0.271453937E+01 0.270795803E+01 0.270137668E+01 0.269479534E+01 0.268821400E+01 - 0.268123365E+01 0.267405379E+01 0.266687393E+01 0.265969407E+01 0.265251421E+01 - 0.264533435E+01 0.263815449E+01 0.263097463E+01 0.262320439E+01 0.261543414E+01 - 0.260766389E+01 0.259989364E+01 0.259212340E+01 0.258435315E+01 0.257658290E+01 - 0.256861888E+01 0.256026728E+01 0.255191568E+01 0.254356408E+01 0.253521248E+01 - 0.252686089E+01 0.251850929E+01 0.251015769E+01 0.250142520E+01 0.249250225E+01 - 0.248357931E+01 0.247465636E+01 0.246573342E+01 0.245681048E+01 0.244788753E+01 - 0.243896459E+01 0.242948134E+01 0.241999809E+01 0.241051484E+01 0.240103159E+01 - 0.239154834E+01 0.238206509E+01 0.237258184E+01 0.236291588E+01 0.235288449E+01 - 0.234285309E+01 0.233282170E+01 0.232279030E+01 0.231275891E+01 0.230272751E+01 - 0.229269612E+01 0.228230822E+01 0.227174206E+01 0.226117590E+01 0.225060974E+01 - 0.224004358E+01 0.222947742E+01 0.221891126E+01 0.220834509E+01 0.219725888E+01 - 0.218617267E+01 0.217508645E+01 0.216400023E+01 0.215291401E+01 0.214182780E+01 - 0.213074158E+01 0.211948741E+01 0.210789731E+01 0.209630722E+01 0.208471712E+01 - 0.207312702E+01 0.206153692E+01 0.204994683E+01 0.203835673E+01 0.202644259E+01 - 0.201436642E+01 0.200229025E+01 0.199021408E+01 0.197813791E+01 0.196606173E+01 - 0.195398556E+01 0.194190939E+01 0.192936678E+01 0.191682416E+01 0.190428155E+01 - 0.189173893E+01 0.187919631E+01 0.186665369E+01 0.185411107E+01 0.184142021E+01 - 0.182843283E+01 0.181544546E+01 0.180245808E+01 0.178947070E+01 0.177648332E+01 - 0.176349595E+01 0.175050857E+01 0.173724071E+01 0.172383261E+01 0.171042451E+01 - 0.169701640E+01 0.168360830E+01 0.167020019E+01 0.165679209E+01 0.164338398E+01 - 0.162958190E+01 0.161577980E+01 0.160197770E+01 0.158817561E+01 0.157437351E+01 - 0.156057142E+01 0.154676932E+01 0.153284587E+01 0.151867967E+01 0.150451347E+01 - 0.149034727E+01 0.147618107E+01 0.146201487E+01 0.144784867E+01 0.143368247E+01 - 0.141929595E+01 0.140479926E+01 0.139030257E+01 0.137580588E+01 0.136130918E+01 - 0.134681249E+01 0.133231580E+01 0.131781911E+01 0.130303000E+01 0.128824089E+01 - 0.127345178E+01 0.125866266E+01 0.124387355E+01 0.122908444E+01 0.121429533E+01 - 0.119942325E+01 0.118438524E+01 0.116934723E+01 0.115430921E+01 0.113927120E+01 - 0.112423319E+01 0.110919517E+01 0.109415716E+01 0.107898675E+01 0.106375013E+01 - 0.104851352E+01 0.103327690E+01 0.101804029E+01 0.100280367E+01 0.987567053E+00 - 0.972330437E+00 0.956954164E+00 0.941577887E+00 0.926201610E+00 0.910825333E+00 - 0.895449056E+00 0.880072779E+00 0.864696502E+00 0.849297103E+00 0.833851454E+00 - 0.818405806E+00 0.802960157E+00 0.787514508E+00 0.772068860E+00 0.756623211E+00 - 0.741177562E+00 0.725742821E+00 0.710313533E+00 0.694884245E+00 0.679454958E+00 - 0.664025670E+00 0.648596382E+00 0.633167095E+00 0.617737807E+00 0.602432625E+00 - 0.587127446E+00 0.571822267E+00 0.556517088E+00 0.541211909E+00 0.525906730E+00 - 0.510601551E+00 0.495384777E+00 0.480344831E+00 0.465304885E+00 0.450264940E+00 - 0.435224994E+00 0.420185048E+00 0.405145103E+00 0.390105157E+00 0.375372901E+00 - 0.360794508E+00 0.346216116E+00 0.331637723E+00 0.317059331E+00 0.302480938E+00 - 0.287902546E+00 0.273324153E+00 0.259507904E+00 0.245691677E+00 0.231875449E+00 - 0.218059221E+00 0.204242993E+00 0.190426766E+00 0.176610538E+00 0.163231984E+00 - 0.150728889E+00 0.138225794E+00 0.125722699E+00 0.113219604E+00 0.100716509E+00 - 0.882134136E-01 0.757103185E-01 0.653214627E-01 0.559898650E-01 0.466582674E-01 - 0.373266697E-01 0.279950720E-01 0.186634743E-01 0.933187668E-02 0.279014798E-06 - 0.226772254E+07 0.226747947E+07 0.226723640E+07 0.226699333E+07 0.226675026E+07 - 0.226650719E+07 0.226626413E+07 0.226602106E+07 0.226561602E+07 0.226488706E+07 - 0.226415809E+07 0.226342913E+07 0.226270016E+07 0.226197120E+07 0.226124223E+07 - 0.226051327E+07 0.225946085E+07 0.225824671E+07 0.225703257E+07 0.225581843E+07 - 0.225460429E+07 0.225339015E+07 0.225217601E+07 0.225096187E+07 0.224926376E+07 - 0.224756565E+07 0.224586754E+07 0.224416942E+07 0.224247131E+07 0.224077320E+07 - 0.223907509E+07 0.223721622E+07 0.223503584E+07 0.223285545E+07 0.223067507E+07 - 0.222849468E+07 0.222631430E+07 0.222413391E+07 0.222195353E+07 0.221945309E+07 - 0.221679263E+07 0.221413217E+07 0.221147170E+07 0.220881124E+07 0.220615078E+07 - 0.220349031E+07 0.220082985E+07 0.219769202E+07 0.219455418E+07 0.219141635E+07 - 0.218827851E+07 0.218514067E+07 0.218200284E+07 0.217886500E+07 0.217556912E+07 - 0.217195714E+07 0.216834517E+07 0.216473319E+07 0.216112121E+07 0.215750923E+07 - 0.215389726E+07 0.215028528E+07 0.214635973E+07 0.214227738E+07 0.213819503E+07 - 0.213411269E+07 0.213003034E+07 0.212594799E+07 0.212186565E+07 0.211778330E+07 - 0.211323492E+07 0.210868654E+07 0.210413816E+07 0.209958978E+07 0.209504140E+07 - 0.209049302E+07 0.208594464E+07 0.208124256E+07 0.207623307E+07 0.207122358E+07 - 0.206621409E+07 0.206120460E+07 0.205619511E+07 0.205118562E+07 0.204617613E+07 - 0.204086292E+07 0.203539786E+07 0.202993280E+07 0.202446773E+07 0.201900267E+07 - 0.201353761E+07 0.200807255E+07 0.200260748E+07 0.199669304E+07 0.199077860E+07 - 0.198486415E+07 0.197894970E+07 0.197303526E+07 0.196712081E+07 0.196120637E+07 - 0.195514443E+07 0.194878748E+07 0.194243053E+07 0.193607358E+07 0.192971663E+07 - 0.192335968E+07 0.191700273E+07 0.191064578E+07 0.190399891E+07 0.189720707E+07 - 0.189041523E+07 0.188362339E+07 0.187683155E+07 0.187003971E+07 0.186324787E+07 - 0.185645604E+07 0.184923772E+07 0.184201939E+07 0.183480107E+07 0.182758274E+07 - 0.182036442E+07 0.181314609E+07 0.180592777E+07 0.179857037E+07 0.179093482E+07 - 0.178329927E+07 0.177566372E+07 0.176802816E+07 0.176039261E+07 0.175275706E+07 - 0.174512150E+07 0.173721459E+07 0.172917199E+07 0.172112940E+07 0.171308680E+07 - 0.170504420E+07 0.169700160E+07 0.168895900E+07 0.168091640E+07 0.167247796E+07 - 0.166403951E+07 0.165560107E+07 0.164716262E+07 0.163872417E+07 0.163028572E+07 - 0.162184727E+07 0.161328099E+07 0.160445900E+07 0.159563702E+07 0.158681504E+07 - 0.157799305E+07 0.156917107E+07 0.156034908E+07 0.155152710E+07 0.154245847E+07 - 0.153326650E+07 0.152407453E+07 0.151488257E+07 0.150569060E+07 0.149649863E+07 - 0.148730667E+07 0.147811470E+07 0.146856770E+07 0.145902069E+07 0.144947368E+07 - 0.143992667E+07 0.143037966E+07 0.142083265E+07 0.141128564E+07 0.140162579E+07 - 0.139174024E+07 0.138185470E+07 0.137196915E+07 0.136208361E+07 0.135219806E+07 - 0.134231252E+07 0.133242697E+07 0.132232794E+07 0.131212215E+07 0.130191636E+07 - 0.129171057E+07 0.128150478E+07 0.127129900E+07 0.126109321E+07 0.125088742E+07 - 0.124038174E+07 0.122987606E+07 0.121937038E+07 0.120886470E+07 0.119835902E+07 - 0.118785334E+07 0.117734766E+07 0.116674960E+07 0.115596678E+07 0.114518395E+07 - 0.113440113E+07 0.112361831E+07 0.111283548E+07 0.110205266E+07 0.109126984E+07 - 0.108031931E+07 0.106928493E+07 0.105825054E+07 0.104721616E+07 0.103618177E+07 - 0.102514739E+07 0.101411301E+07 0.100307862E+07 0.991821662E+06 0.980564698E+06 - 0.969307733E+06 0.958050769E+06 0.946793805E+06 0.935536841E+06 0.924279877E+06 - 0.912959765E+06 0.901513346E+06 0.890066927E+06 0.878620509E+06 0.867174090E+06 - 0.855727671E+06 0.844281252E+06 0.832834833E+06 0.821287638E+06 0.809690049E+06 - 0.798092460E+06 0.786494872E+06 0.774897283E+06 0.763299695E+06 0.751702106E+06 - 0.740104518E+06 0.728400627E+06 0.716696733E+06 0.704992839E+06 0.693288946E+06 - 0.681585052E+06 0.669881158E+06 0.658177265E+06 0.646455771E+06 0.634699074E+06 - 0.622942377E+06 0.611185680E+06 0.599428983E+06 0.587672286E+06 0.575915589E+06 - 0.564158892E+06 0.552410497E+06 0.540666253E+06 0.528922010E+06 0.517177766E+06 - 0.505433523E+06 0.493689279E+06 0.481945036E+06 0.470200792E+06 0.458551013E+06 - 0.446901237E+06 0.435251461E+06 0.423601685E+06 0.411951908E+06 0.400302132E+06 - 0.388652356E+06 0.377069870E+06 0.365621980E+06 0.354174090E+06 0.342726200E+06 - 0.331278310E+06 0.319830420E+06 0.308382531E+06 0.296934641E+06 0.285720954E+06 - 0.274624382E+06 0.263527811E+06 0.252431239E+06 0.241334668E+06 0.230238096E+06 - 0.219141525E+06 0.208044953E+06 0.197528500E+06 0.187012062E+06 0.176495624E+06 - 0.165979186E+06 0.155462748E+06 0.144946311E+06 0.134429873E+06 0.124246577E+06 - 0.114729651E+06 0.105212725E+06 0.956957982E+05 0.861788719E+05 0.766619456E+05 - 0.671450192E+05 0.576280929E+05 0.497204528E+05 0.426175613E+05 0.355146698E+05 - 0.284117783E+05 0.213088869E+05 0.142059954E+05 0.710310387E+04 0.212376477E+00 --0.724468582E+00-0.723866258E+00-0.723291143E+00-0.722743236E+00-0.722222539E+00 --0.721729050E+00-0.721262770E+00-0.720823699E+00-0.720435123E+00-0.720088183E+00 --0.719749443E+00-0.719418902E+00-0.719096561E+00-0.718782419E+00-0.718476477E+00 --0.718178734E+00-0.717889191E+00-0.717607848E+00-0.717385281E+00-0.717148356E+00 --0.716892286E+00-0.716617073E+00-0.716332609E+00-0.716058170E+00-0.715789129E+00 --0.715525487E+00-0.715267244E+00-0.715014399E+00-0.714766953E+00-0.714524906E+00 --0.714288257E+00-0.714057006E+00-0.713831155E+00-0.713610702E+00-0.713366930E+00 --0.713111435E+00-0.712849297E+00-0.712580515E+00-0.712305090E+00-0.712023021E+00 --0.711734309E+00-0.711438954E+00-0.711136955E+00-0.710828312E+00-0.710513027E+00 --0.710191098E+00-0.709862746E+00-0.709542215E+00-0.709209168E+00-0.708863961E+00 --0.708516980E+00-0.708174555E+00-0.707827919E+00-0.707477073E+00-0.707122016E+00 --0.706762747E+00-0.706399268E+00-0.706031578E+00-0.705659678E+00-0.705283566E+00 --0.704903244E+00-0.704518711E+00-0.704129967E+00-0.703737012E+00-0.703339846E+00 --0.702938469E+00-0.702532882E+00-0.702123084E+00-0.701709445E+00-0.701296345E+00 --0.700882531E+00-0.700468001E+00-0.700052757E+00-0.699636798E+00-0.699220125E+00 --0.698802736E+00-0.698384633E+00-0.697965815E+00-0.697546282E+00-0.697126034E+00 --0.696705071E+00-0.696283394E+00-0.695861002E+00-0.695445845E+00-0.695034493E+00 --0.694617796E+00-0.694199061E+00-0.693786176E+00-0.693375418E+00-0.692966789E+00 --0.692560286E+00-0.692155912E+00-0.691753666E+00-0.691353547E+00-0.690955556E+00 --0.690559693E+00-0.690165958E+00-0.689774351E+00-0.689384871E+00-0.688997519E+00 --0.688612295E+00-0.688229199E+00-0.687848230E+00-0.687469390E+00-0.687095584E+00 --0.686737456E+00-0.686380683E+00-0.686016522E+00-0.685667442E+00-0.685323022E+00 --0.684981006E+00-0.684641394E+00-0.684304185E+00-0.683969379E+00-0.683636977E+00 --0.683306978E+00-0.682982788E+00-0.682664354E+00-0.682351611E+00-0.682044558E+00 --0.681743195E+00-0.681447522E+00-0.681157540E+00-0.680873248E+00-0.680594647E+00 --0.680321736E+00-0.680054096E+00-0.679790447E+00-0.679530733E+00-0.679274952E+00 --0.679023105E+00-0.678775192E+00-0.678531213E+00-0.678291168E+00-0.678055335E+00 --0.677825012E+00-0.677599098E+00-0.677376454E+00-0.677158223E+00-0.676944404E+00 --0.676734998E+00-0.676530003E+00-0.676329421E+00-0.676134341E+00-0.675943576E+00 --0.675756414E+00-0.675572853E+00-0.675392895E+00-0.675216539E+00-0.675043784E+00 --0.674874632E+00-0.674707230E+00-0.674541468E+00-0.674379327E+00-0.674220805E+00 --0.674065904E+00-0.673914622E+00-0.673766960E+00-0.673622426E+00-0.673483620E+00 --0.673358695E+00-0.673247651E+00-0.673150489E+00-0.673067209E+00-0.672998538E+00 --0.672944126E+00-0.672900275E+00-0.672869622E+00-0.672853532E+00-0.672851621E+00 --0.672863890E+00-0.672890339E+00-0.672930254E+00-0.672982504E+00-0.673047611E+00 --0.673125577E+00-0.673216401E+00-0.673320082E+00-0.673436622E+00-0.673566989E+00 --0.673706371E+00-0.673858017E+00-0.674024349E+00-0.674204082E+00-0.674397214E+00 --0.674603747E+00-0.674823679E+00-0.675057011E+00-0.675303742E+00-0.675563874E+00 --0.675837405E+00-0.676125884E+00-0.676427009E+00-0.676739917E+00-0.677064610E+00 --0.677401086E+00-0.677749345E+00-0.678110534E+00-0.678487822E+00-0.678879747E+00 --0.679286310E+00-0.679707509E+00-0.680140041E+00-0.680587276E+00-0.681049461E+00 --0.681526597E+00-0.682018683E+00-0.682526331E+00-0.683046761E+00-0.683578654E+00 --0.684128129E+00-0.684693079E+00-0.685273502E+00-0.685869398E+00-0.686480769E+00 --0.687106010E+00-0.687731516E+00-0.688361484E+00-0.688995913E+00-0.689634804E+00 --0.690278155E+00-0.690925969E+00-0.691578243E+00-0.692234979E+00-0.692896176E+00 --0.693561835E+00-0.694231954E+00-0.694904779E+00-0.695580684E+00-0.696259723E+00 --0.696941896E+00-0.697627204E+00-0.698315645E+00-0.699007220E+00-0.699701929E+00 --0.700399773E+00-0.701100788E+00-0.701808235E+00-0.702521765E+00-0.703241378E+00 --0.703967073E+00-0.704698850E+00-0.705436710E+00-0.706180653E+00-0.706930678E+00 --0.707686785E+00-0.708448975E+00-0.709217248E+00-0.709991603E+00-0.710772041E+00 --0.711558561E+00-0.712348230E+00-0.713142213E+00-0.713944821E+00-0.714756929E+00 --0.715568574E+00-0.716386302E+00-0.717211566E+00-0.718044366E+00-0.718884703E+00 --0.719732576E+00-0.720587985E+00-0.721450931E+00-0.722321412E+00-0.723199431E+00 --0.724084985E+00-0.724978076E+00-0.725878703E+00-0.726786866E+00-0.727703008E+00 --0.728626778E+00-0.729558001E+00-0.730496675E+00-0.731442802E+00-0.732396381E+00 --0.733357411E+00-0.734325894E+00-0.735301828E+00-0.736285215E+00-0.737277753E+00 --0.738281059E+00-0.739288335E+00-0.740303042E+00-0.741325179E+00-0.742354747E+00 --0.743391745E+00-0.744436174E+00-0.745488034E+00-0.746547324E+00-0.747614045E+00 --0.748688196E+00-0.749769778E+00-0.750858791E+00-0.751955234E+00-0.753059108E+00 --0.754172041E+00-0.755295073E+00-0.756423561E+00-0.757557506E+00-0.758696908E+00 --0.736564735E+00-0.735787794E+00-0.735038063E+00-0.734315540E+00-0.733620226E+00 --0.732952120E+00-0.732311224E+00-0.731697536E+00-0.731111058E+00-0.730551788E+00 --0.730019727E+00-0.729514874E+00-0.729037231E+00-0.728586796E+00-0.728128182E+00 --0.727673376E+00-0.727226771E+00-0.726788365E+00-0.726369832E+00-0.726028554E+00 --0.725668133E+00-0.725305264E+00-0.724948404E+00-0.724596942E+00-0.724250879E+00 --0.723910214E+00-0.723574948E+00-0.723245081E+00-0.722920612E+00-0.722601542E+00 --0.722287870E+00-0.721979597E+00-0.721676723E+00-0.721379247E+00-0.721077284E+00 --0.720757994E+00-0.720432061E+00-0.720099485E+00-0.719760266E+00-0.719414403E+00 --0.719061896E+00-0.718702746E+00-0.718336953E+00-0.717964516E+00-0.717585436E+00 --0.717204743E+00-0.716826793E+00-0.716446717E+00-0.716064513E+00-0.715671452E+00 --0.715266929E+00-0.714860062E+00-0.714450849E+00-0.714039290E+00-0.713625386E+00 --0.713209301E+00-0.712793221E+00-0.712372930E+00-0.711948429E+00-0.711519716E+00 --0.711086793E+00-0.710649659E+00-0.710208314E+00-0.709762758E+00-0.709312991E+00 --0.708859014E+00-0.708400825E+00-0.707938426E+00-0.707471816E+00-0.707008014E+00 --0.706546485E+00-0.706084241E+00-0.705621283E+00-0.705157609E+00-0.704693221E+00 --0.704228118E+00-0.703762300E+00-0.703295768E+00-0.702828520E+00-0.702360558E+00 --0.701898885E+00-0.701437994E+00-0.700977036E+00-0.700516009E+00-0.700054915E+00 --0.699588820E+00-0.699126225E+00-0.698668970E+00-0.698217446E+00-0.697768935E+00 --0.697322551E+00-0.696878296E+00-0.696436168E+00-0.695996168E+00-0.695558295E+00 --0.695122551E+00-0.694688934E+00-0.694257446E+00-0.693828084E+00-0.693400851E+00 --0.692975746E+00-0.692554297E+00-0.692145151E+00-0.691740585E+00-0.691340600E+00 --0.690945195E+00-0.690547990E+00-0.690151479E+00-0.689762036E+00-0.689381341E+00 --0.689007901E+00-0.688636865E+00-0.688268232E+00-0.687902002E+00-0.687538176E+00 --0.687178679E+00-0.686826466E+00-0.686479944E+00-0.686139112E+00-0.685803970E+00 --0.685474518E+00-0.685150757E+00-0.684832687E+00-0.684520306E+00-0.684213616E+00 --0.683912616E+00-0.683617457E+00-0.683328550E+00-0.683043576E+00-0.682762537E+00 --0.682485431E+00-0.682212260E+00-0.681942729E+00-0.681676864E+00-0.681416644E+00 --0.681162068E+00-0.680913136E+00-0.680669848E+00-0.680427754E+00-0.680189988E+00 --0.679956633E+00-0.679727691E+00-0.679503161E+00-0.679285051E+00-0.679070920E+00 --0.678860391E+00-0.678653464E+00-0.678450138E+00-0.678250416E+00-0.678052794E+00 --0.677858193E+00-0.677667212E+00-0.677479852E+00-0.677296111E+00-0.677115990E+00 --0.676939490E+00-0.676766609E+00-0.676597348E+00-0.676431231E+00-0.676270959E+00 --0.676124569E+00-0.675992059E+00-0.675873432E+00-0.675768685E+00-0.675677821E+00 --0.675601484E+00-0.675540249E+00-0.675492800E+00-0.675459531E+00-0.675440441E+00 --0.675435531E+00-0.675444800E+00-0.675468786E+00-0.675506221E+00-0.675556513E+00 --0.675619664E+00-0.675695672E+00-0.675784796E+00-0.675888780E+00-0.676007533E+00 --0.676136054E+00-0.676277018E+00-0.676431931E+00-0.676600791E+00-0.676783600E+00 --0.676980356E+00-0.677190810E+00-0.677414577E+00-0.677651743E+00-0.677902309E+00 --0.678166274E+00-0.678443640E+00-0.678735782E+00-0.679041358E+00-0.679358717E+00 --0.679687860E+00-0.680030139E+00-0.680387659E+00-0.680759816E+00-0.681146609E+00 --0.681548040E+00-0.681964107E+00-0.682393858E+00-0.682838278E+00-0.683297648E+00 --0.683771969E+00-0.684261240E+00-0.684765462E+00-0.685284443E+00-0.685820117E+00 --0.686371520E+00-0.686938396E+00-0.687520746E+00-0.688118569E+00-0.688731866E+00 --0.689359209E+00-0.689987783E+00-0.690620818E+00-0.691258314E+00-0.691900272E+00 --0.692546691E+00-0.693197572E+00-0.693852914E+00-0.694512717E+00-0.695176330E+00 --0.695842282E+00-0.696511369E+00-0.697183589E+00-0.697858943E+00-0.698537431E+00 --0.699219053E+00-0.699903810E+00-0.700591700E+00-0.701282724E+00-0.701976883E+00 --0.702674175E+00-0.703374601E+00-0.704080538E+00-0.704793128E+00-0.705511799E+00 --0.706236554E+00-0.706967390E+00-0.707704310E+00-0.708447312E+00-0.709196396E+00 --0.709951563E+00-0.710712812E+00-0.711480144E+00-0.712253559E+00-0.713033055E+00 --0.713818635E+00-0.714610297E+00-0.715408041E+00-0.716216435E+00-0.717025659E+00 --0.717839619E+00-0.718661030E+00-0.719489893E+00-0.720326209E+00-0.721169976E+00 --0.722021195E+00-0.722879867E+00-0.723745990E+00-0.724619566E+00-0.725500593E+00 --0.726389073E+00-0.727285004E+00-0.728188388E+00-0.729099223E+00-0.730017511E+00 --0.730943250E+00-0.731876442E+00-0.732817085E+00-0.733765181E+00-0.734720728E+00 --0.735683728E+00-0.736654179E+00-0.737632083E+00-0.738618079E+00-0.739620621E+00 --0.740635196E+00-0.741651461E+00-0.742675156E+00-0.743706282E+00-0.744744838E+00 --0.745790825E+00-0.746844243E+00-0.747905091E+00-0.748973370E+00-0.750049080E+00 --0.751132220E+00-0.752222791E+00-0.753320792E+00-0.754426224E+00-0.755538145E+00 --0.756660005E+00-0.757797161E+00-0.758942860E+00-0.760093619E+00-0.761249437E+00 --0.748316247E+00-0.747364690E+00-0.746440342E+00-0.745543203E+00-0.744673272E+00 --0.743830550E+00-0.743015037E+00-0.742226733E+00-0.741465638E+00-0.740731752E+00 --0.740025074E+00-0.739345605E+00-0.738693346E+00-0.738068295E+00-0.737470452E+00 --0.736899819E+00-0.736356394E+00-0.735840179E+00-0.735351172E+00-0.734895943E+00 --0.734451263E+00-0.734011981E+00-0.733578098E+00-0.733149613E+00-0.732726527E+00 --0.732308840E+00-0.731896551E+00-0.731489661E+00-0.731088170E+00-0.730692077E+00 --0.730301382E+00-0.729916087E+00-0.729536190E+00-0.729161691E+00-0.728792591E+00 --0.728409563E+00-0.728019836E+00-0.727623466E+00-0.727220452E+00-0.726810794E+00 --0.726394494E+00-0.725971549E+00-0.725541962E+00-0.725105731E+00-0.724671613E+00 --0.724236244E+00-0.723798747E+00-0.723359124E+00-0.722917373E+00-0.722473496E+00 --0.722020303E+00-0.721556466E+00-0.721090283E+00-0.720621756E+00-0.720150882E+00 --0.719677664E+00-0.719202100E+00-0.718724191E+00-0.718243936E+00-0.717761336E+00 --0.717276352E+00-0.716786617E+00-0.716292671E+00-0.715794514E+00-0.715292147E+00 --0.714785568E+00-0.714274779E+00-0.713759779E+00-0.713240568E+00-0.712720530E+00 --0.712211286E+00-0.711701328E+00-0.711190655E+00-0.710679267E+00-0.710167164E+00 --0.709654347E+00-0.709141199E+00-0.708630837E+00-0.708120408E+00-0.707609911E+00 --0.707099346E+00-0.706588713E+00-0.706078012E+00-0.705567244E+00-0.705055942E+00 --0.704544353E+00-0.704038103E+00-0.703537194E+00-0.703041624E+00-0.702551450E+00 --0.702065185E+00-0.701581048E+00-0.701099039E+00-0.700619158E+00-0.700141404E+00 --0.699665778E+00-0.699192280E+00-0.698720910E+00-0.698252245E+00-0.697792080E+00 --0.697336495E+00-0.696885491E+00-0.696439068E+00-0.695997225E+00-0.695559962E+00 --0.695127280E+00-0.694692634E+00-0.694263774E+00-0.693841980E+00-0.693427254E+00 --0.693019594E+00-0.692617115E+00-0.692217058E+00-0.691819404E+00-0.691424154E+00 --0.691037623E+00-0.690657322E+00-0.690282711E+00-0.689913790E+00-0.689550560E+00 --0.689193020E+00-0.688841170E+00-0.688495011E+00-0.688154542E+00-0.687819763E+00 --0.687490674E+00-0.687167276E+00-0.686851569E+00-0.686541337E+00-0.686235039E+00 --0.685932675E+00-0.685632462E+00-0.685336699E+00-0.685046581E+00-0.684762108E+00 --0.684483278E+00-0.684210093E+00-0.683942553E+00-0.683680656E+00-0.683421514E+00 --0.683164211E+00-0.682911321E+00-0.682663080E+00-0.682421980E+00-0.682184482E+00 --0.681950587E+00-0.681720293E+00-0.681493253E+00-0.681269813E+00-0.681049993E+00 --0.680833794E+00-0.680621214E+00-0.680412254E+00-0.680206915E+00-0.680005195E+00 --0.679807095E+00-0.679612615E+00-0.679421755E+00-0.679234055E+00-0.679052317E+00 --0.678884461E+00-0.678730487E+00-0.678590393E+00-0.678464809E+00-0.678355555E+00 --0.678261979E+00-0.678184081E+00-0.678121862E+00-0.678072213E+00-0.678035944E+00 --0.678013854E+00-0.678005944E+00-0.678014851E+00-0.678037471E+00-0.678072948E+00 --0.678121187E+00-0.678182766E+00-0.678259114E+00-0.678350232E+00-0.678456118E+00 --0.678573778E+00-0.678704525E+00-0.678849220E+00-0.679007863E+00-0.679180454E+00 --0.679366993E+00-0.679567481E+00-0.679781916E+00-0.680010300E+00-0.680252631E+00 --0.680508911E+00-0.680777194E+00-0.681058393E+00-0.681354024E+00-0.681664050E+00 --0.681987071E+00-0.682324823E+00-0.682677211E+00-0.683044236E+00-0.683425897E+00 --0.683822196E+00-0.684233131E+00-0.684659446E+00-0.685101051E+00-0.685557607E+00 --0.686029112E+00-0.686513864E+00-0.687014280E+00-0.687531290E+00-0.688064894E+00 --0.688615093E+00-0.689183740E+00-0.689768017E+00-0.690367767E+00-0.690982991E+00 --0.691612435E+00-0.692244076E+00-0.692880179E+00-0.693520743E+00-0.694165768E+00 --0.694815255E+00-0.695469203E+00-0.696125704E+00-0.696784838E+00-0.697447105E+00 --0.698112506E+00-0.698781041E+00-0.699452711E+00-0.700127514E+00-0.700805451E+00 --0.701486522E+00-0.702170728E+00-0.702858067E+00-0.703548541E+00-0.704242148E+00 --0.704938889E+00-0.705638765E+00-0.706343102E+00-0.707054750E+00-0.707772482E+00 --0.708496295E+00-0.709226191E+00-0.709962170E+00-0.710704231E+00-0.711452375E+00 --0.712206601E+00-0.712966910E+00-0.713733301E+00-0.714505775E+00-0.715284331E+00 --0.716070592E+00-0.716867641E+00-0.717670141E+00-0.718478091E+00-0.719285784E+00 --0.720100933E+00-0.720924314E+00-0.721755146E+00-0.722593430E+00-0.723439167E+00 --0.724292355E+00-0.725152995E+00-0.726021088E+00-0.726896632E+00-0.727779629E+00 --0.728670077E+00-0.729567977E+00-0.730473330E+00-0.731386134E+00-0.732306391E+00 --0.733234099E+00-0.734169260E+00-0.735111872E+00-0.736061937E+00-0.737019453E+00 --0.737984422E+00-0.738956842E+00-0.739936715E+00-0.740932246E+00-0.741941118E+00 --0.742963164E+00-0.743990985E+00-0.745023669E+00-0.746063783E+00-0.747111329E+00 --0.748166304E+00-0.749228711E+00-0.750298548E+00-0.751375815E+00-0.752460514E+00 --0.753552642E+00-0.754652202E+00-0.755759192E+00-0.756872514E+00-0.757996885E+00 --0.759132640E+00-0.760279778E+00-0.761441681E+00-0.762609075E+00-0.763781527E+00 --0.759723119E+00-0.758596945E+00-0.757497981E+00-0.756426225E+00-0.755381678E+00 --0.754364340E+00-0.753374210E+00-0.752411290E+00-0.751475578E+00-0.750567075E+00 --0.749685781E+00-0.748831696E+00-0.748004820E+00-0.747205152E+00-0.746508009E+00 --0.745867309E+00-0.745280603E+00-0.744747890E+00-0.744269170E+00-0.743840869E+00 --0.743300747E+00-0.742763010E+00-0.742227659E+00-0.741716184E+00-0.741216075E+00 --0.740721365E+00-0.740232054E+00-0.739748141E+00-0.739269627E+00-0.738796511E+00 --0.738328794E+00-0.737866476E+00-0.737409556E+00-0.736958035E+00-0.736511912E+00 --0.736066143E+00-0.735612621E+00-0.735152456E+00-0.734685648E+00-0.734212196E+00 --0.733732101E+00-0.733245363E+00-0.732754018E+00-0.732263356E+00-0.731770566E+00 --0.731275650E+00-0.730778607E+00-0.730279437E+00-0.729778140E+00-0.729274717E+00 --0.728769166E+00-0.728255721E+00-0.727732569E+00-0.727207072E+00-0.726679230E+00 --0.726149042E+00-0.725616509E+00-0.725081630E+00-0.724544407E+00-0.724004837E+00 --0.723462923E+00-0.722918663E+00-0.722372057E+00-0.721823107E+00-0.721271811E+00 --0.720718133E+00-0.720154743E+00-0.719587142E+00-0.719015330E+00-0.718439307E+00 --0.717876934E+00-0.717319261E+00-0.716760874E+00-0.716201602E+00-0.715641701E+00 --0.715081733E+00-0.714521697E+00-0.713961594E+00-0.713401422E+00-0.712841183E+00 --0.712280876E+00-0.711720501E+00-0.711160059E+00-0.710599548E+00-0.710039638E+00 --0.709484394E+00-0.708934490E+00-0.708389926E+00-0.707850701E+00-0.707316816E+00 --0.706788271E+00-0.706264171E+00-0.705742280E+00-0.705222517E+00-0.704704882E+00 --0.704189427E+00-0.703678243E+00-0.703171640E+00-0.702669618E+00-0.702172175E+00 --0.701679314E+00-0.701191032E+00-0.700707331E+00-0.700228211E+00-0.699753671E+00 --0.699282893E+00-0.698814616E+00-0.698353405E+00-0.697899262E+00-0.697452185E+00 --0.697012176E+00-0.696579233E+00-0.696150663E+00-0.695721585E+00-0.695297826E+00 --0.694883746E+00-0.694475356E+00-0.694072656E+00-0.693675647E+00-0.693284328E+00 --0.692898699E+00-0.692518761E+00-0.692144513E+00-0.691775955E+00-0.691413088E+00 --0.691055910E+00-0.690704424E+00-0.690359506E+00-0.690024015E+00-0.689691804E+00 --0.689360500E+00-0.689034840E+00-0.688714824E+00-0.688400453E+00-0.688091727E+00 --0.687788644E+00-0.687491206E+00-0.687199412E+00-0.686913263E+00-0.686632758E+00 --0.686357732E+00-0.686080894E+00-0.685809595E+00-0.685545129E+00-0.685284506E+00 --0.685028607E+00-0.684776329E+00-0.684527670E+00-0.684282631E+00-0.684041212E+00 --0.683803413E+00-0.683569235E+00-0.683338676E+00-0.683111737E+00-0.682888418E+00 --0.682668719E+00-0.682452640E+00-0.682240182E+00-0.682030898E+00-0.681827695E+00 --0.681638373E+00-0.681463238E+00-0.681305263E+00-0.681162967E+00-0.681036349E+00 --0.680925409E+00-0.680830147E+00-0.680750563E+00-0.680686657E+00-0.680638130E+00 --0.680598861E+00-0.680573772E+00-0.680568450E+00-0.680576161E+00-0.680595336E+00 --0.680629279E+00-0.680677992E+00-0.680741474E+00-0.680819724E+00-0.680912744E+00 --0.681019543E+00-0.681140073E+00-0.681274551E+00-0.681422976E+00-0.681585350E+00 --0.681761672E+00-0.681951942E+00-0.682156160E+00-0.682374326E+00-0.682606440E+00 --0.682852502E+00-0.683112513E+00-0.683387952E+00-0.683678263E+00-0.683981816E+00 --0.684299414E+00-0.684631932E+00-0.684979188E+00-0.685341081E+00-0.685717611E+00 --0.686108778E+00-0.686514582E+00-0.686936806E+00-0.687375596E+00-0.687826719E+00 --0.688292133E+00-0.688774141E+00-0.689272743E+00-0.689787941E+00-0.690319732E+00 --0.690868119E+00-0.691433099E+00-0.692015316E+00-0.692616993E+00-0.693234143E+00 --0.693865689E+00-0.694500398E+00-0.695139568E+00-0.695783199E+00-0.696430950E+00 --0.697080130E+00-0.697732445E+00-0.698387893E+00-0.699046475E+00-0.699708191E+00 --0.700373042E+00-0.701041026E+00-0.701712144E+00-0.702386397E+00-0.703063783E+00 --0.703744303E+00-0.704427958E+00-0.705114746E+00-0.705804669E+00-0.706497725E+00 --0.707193915E+00-0.707893240E+00-0.708595926E+00-0.709306634E+00-0.710023424E+00 --0.710746297E+00-0.711475253E+00-0.712210291E+00-0.712951411E+00-0.713698614E+00 --0.714451900E+00-0.715211268E+00-0.715976718E+00-0.716753140E+00-0.717535721E+00 --0.718323753E+00-0.719117235E+00-0.719916168E+00-0.720720551E+00-0.721525967E+00 --0.722337669E+00-0.723161942E+00-0.723994776E+00-0.724835029E+00-0.725682735E+00 --0.726537892E+00-0.727400501E+00-0.728270563E+00-0.729148076E+00-0.730033041E+00 --0.730925459E+00-0.731825328E+00-0.732732650E+00-0.733647423E+00-0.734569648E+00 --0.735499326E+00-0.736436455E+00-0.737381037E+00-0.738333070E+00-0.739292556E+00 --0.740259493E+00-0.741233883E+00-0.742222016E+00-0.743224042E+00-0.744239242E+00 --0.745267616E+00-0.746306907E+00-0.747348580E+00-0.748397683E+00-0.749454217E+00 --0.750518181E+00-0.751589577E+00-0.752668402E+00-0.753754659E+00-0.754848345E+00 --0.755949463E+00-0.757057453E+00-0.758172951E+00-0.759299832E+00-0.760438098E+00 --0.761587747E+00-0.762748780E+00-0.763922213E+00-0.765106241E+00-0.766295328E+00 --0.770785350E+00-0.769484560E+00-0.768210979E+00-0.766964607E+00-0.765745443E+00 --0.764553489E+00-0.763388743E+00-0.762251206E+00-0.761153198E+00-0.760113152E+00 --0.759127098E+00-0.758195037E+00-0.757316970E+00-0.756492895E+00-0.755722814E+00 --0.755006725E+00-0.754344630E+00-0.753736528E+00-0.753182418E+00-0.752682302E+00 --0.752119340E+00-0.751522903E+00-0.750928850E+00-0.750337183E+00-0.749747901E+00 --0.749161004E+00-0.748581456E+00-0.748020520E+00-0.747464983E+00-0.746914845E+00 --0.746370105E+00-0.745830764E+00-0.745296822E+00-0.744768278E+00-0.744245133E+00 --0.743727732E+00-0.743210417E+00-0.742686457E+00-0.742155855E+00-0.741618608E+00 --0.741074719E+00-0.740528053E+00-0.739979970E+00-0.739429761E+00-0.738877425E+00 --0.738322962E+00-0.737766373E+00-0.737207656E+00-0.736646813E+00-0.736083843E+00 --0.735518746E+00-0.734951522E+00-0.734377707E+00-0.733795240E+00-0.733210429E+00 --0.732623272E+00-0.732033769E+00-0.731441921E+00-0.730847728E+00-0.730251190E+00 --0.729652306E+00-0.729051076E+00-0.728447502E+00-0.727841582E+00-0.727233316E+00 --0.726622706E+00-0.726009750E+00-0.725394448E+00-0.724776801E+00-0.724156809E+00 --0.723540916E+00-0.722931477E+00-0.722321971E+00-0.721712396E+00-0.721102754E+00 --0.720493043E+00-0.719883266E+00-0.719273420E+00-0.718663507E+00-0.718053525E+00 --0.717443476E+00-0.716833360E+00-0.716223175E+00-0.715612923E+00-0.715007844E+00 --0.714408945E+00-0.713815386E+00-0.713227166E+00-0.712644287E+00-0.712066747E+00 --0.711494547E+00-0.710927686E+00-0.710365844E+00-0.709803642E+00-0.709246020E+00 --0.708692978E+00-0.708144518E+00-0.707600637E+00-0.707061337E+00-0.706526618E+00 --0.705996478E+00-0.705470920E+00-0.704949941E+00-0.704433544E+00-0.703921726E+00 --0.703414563E+00-0.702913935E+00-0.702420374E+00-0.701933881E+00-0.701454454E+00 --0.700982094E+00-0.700516802E+00-0.700058576E+00-0.699607418E+00-0.699159215E+00 --0.698717046E+00-0.698280567E+00-0.697849779E+00-0.697424681E+00-0.697005274E+00 --0.696591556E+00-0.696183529E+00-0.695781193E+00-0.695384546E+00-0.694993590E+00 --0.694608324E+00-0.694228749E+00-0.693854864E+00-0.693488045E+00-0.693126844E+00 --0.692771286E+00-0.692421373E+00-0.692077105E+00-0.691738481E+00-0.691405501E+00 --0.691078165E+00-0.690756474E+00-0.690440427E+00-0.690130025E+00-0.689825267E+00 --0.689526153E+00-0.689232684E+00-0.688943595E+00-0.688658857E+00-0.688377740E+00 --0.688100242E+00-0.687826364E+00-0.687556106E+00-0.687289468E+00-0.687026450E+00 --0.686767052E+00-0.686511274E+00-0.686259116E+00-0.686010579E+00-0.685765661E+00 --0.685524363E+00-0.685286685E+00-0.685052627E+00-0.684821760E+00-0.684597091E+00 --0.684390076E+00-0.684199059E+00-0.684023721E+00-0.683864060E+00-0.683720078E+00 --0.683591774E+00-0.683479147E+00-0.683382199E+00-0.683300929E+00-0.683235337E+00 --0.683185424E+00-0.683149450E+00-0.683126489E+00-0.683118028E+00-0.683124336E+00 --0.683145413E+00-0.683181259E+00-0.683231875E+00-0.683297259E+00-0.683377412E+00 --0.683473350E+00-0.683583662E+00-0.683707922E+00-0.683846131E+00-0.683998287E+00 --0.684164380E+00-0.684344889E+00-0.684539846E+00-0.684749248E+00-0.684973098E+00 --0.685211393E+00-0.685464135E+00-0.685731324E+00-0.686012355E+00-0.686309043E+00 --0.686621645E+00-0.686948838E+00-0.687290858E+00-0.687647746E+00-0.688019502E+00 --0.688406126E+00-0.688807617E+00-0.689223096E+00-0.689653419E+00-0.690100425E+00 --0.690564026E+00-0.691044221E+00-0.691541011E+00-0.692054395E+00-0.692584374E+00 --0.693130948E+00-0.693694115E+00-0.694273878E+00-0.694870235E+00-0.695485323E+00 --0.696118970E+00-0.696756746E+00-0.697397247E+00-0.698039608E+00-0.698685104E+00 --0.699333733E+00-0.699985496E+00-0.700640393E+00-0.701298425E+00-0.701959590E+00 --0.702623889E+00-0.703291323E+00-0.703961890E+00-0.704635592E+00-0.705312427E+00 --0.705992396E+00-0.706675500E+00-0.707361737E+00-0.708051109E+00-0.708743614E+00 --0.709439254E+00-0.710138027E+00-0.710839935E+00-0.711548778E+00-0.712264628E+00 --0.712986560E+00-0.713714575E+00-0.714448672E+00-0.715188852E+00-0.715935115E+00 --0.716689897E+00-0.717452560E+00-0.718220673E+00-0.718994237E+00-0.719773252E+00 --0.720557717E+00-0.721347632E+00-0.722142998E+00-0.722943815E+00-0.723746887E+00 --0.724554831E+00-0.725375345E+00-0.726208429E+00-0.727051006E+00-0.727900680E+00 --0.728757806E+00-0.729622384E+00-0.730494415E+00-0.731373897E+00-0.732260831E+00 --0.733155218E+00-0.734057056E+00-0.734966347E+00-0.735883089E+00-0.736807283E+00 --0.737738930E+00-0.738678028E+00-0.739624579E+00-0.740578581E+00-0.741540036E+00 --0.742508942E+00-0.743489931E+00-0.744485111E+00-0.745493465E+00-0.746514994E+00 --0.747549697E+00-0.748597574E+00-0.749649889E+00-0.750707981E+00-0.751773504E+00 --0.752846457E+00-0.753926841E+00-0.755014655E+00-0.756109900E+00-0.757212576E+00 --0.758321445E+00-0.759439454E+00-0.760568846E+00-0.761709623E+00-0.762861783E+00 --0.764025327E+00-0.765200255E+00-0.766386567E+00-0.767585118E+00-0.768790839E+00 --0.781502941E+00-0.780027535E+00-0.778574474E+00-0.777135080E+00-0.775749679E+00 --0.774418270E+00-0.773140855E+00-0.771917433E+00-0.770748005E+00-0.769632569E+00 --0.768571126E+00-0.767563676E+00-0.766610219E+00-0.765710756E+00-0.764865285E+00 --0.764073807E+00-0.763336323E+00-0.762652831E+00-0.762023333E+00-0.761447828E+00 --0.760860250E+00-0.760205112E+00-0.759552358E+00-0.758901990E+00-0.758254007E+00 --0.757608409E+00-0.756965196E+00-0.756324369E+00-0.755685926E+00-0.755049869E+00 --0.754425316E+00-0.753808952E+00-0.753197987E+00-0.752592420E+00-0.751992252E+00 --0.751397483E+00-0.750813222E+00-0.750225468E+00-0.749631071E+00-0.749030335E+00 --0.748426960E+00-0.747821457E+00-0.747213828E+00-0.746604073E+00-0.745992190E+00 --0.745378181E+00-0.744762044E+00-0.744143781E+00-0.743523391E+00-0.742900875E+00 --0.742276231E+00-0.741649461E+00-0.741020564E+00-0.740386260E+00-0.739744479E+00 --0.739100352E+00-0.738453881E+00-0.737805064E+00-0.737153901E+00-0.736500393E+00 --0.735844540E+00-0.735186342E+00-0.734525798E+00-0.733862908E+00-0.733197674E+00 --0.732530094E+00-0.731863892E+00-0.731205777E+00-0.730546534E+00-0.729886161E+00 --0.729224659E+00-0.728542884E+00-0.727863577E+00-0.727204260E+00-0.726544876E+00 --0.725885424E+00-0.725225904E+00-0.724566316E+00-0.723906661E+00-0.723246938E+00 --0.722587147E+00-0.721927289E+00-0.721267362E+00-0.720608451E+00-0.719960558E+00 --0.719318004E+00-0.718680790E+00-0.718048916E+00-0.717422381E+00-0.716801187E+00 --0.716185332E+00-0.715578213E+00-0.714971949E+00-0.714363517E+00-0.713761195E+00 --0.713170877E+00-0.712585138E+00-0.712003981E+00-0.711427403E+00-0.710855406E+00 --0.710287990E+00-0.709725154E+00-0.709166898E+00-0.708613223E+00-0.708064128E+00 --0.707523569E+00-0.706990591E+00-0.706464680E+00-0.705945837E+00-0.705434060E+00 --0.704929350E+00-0.704431708E+00-0.703943105E+00-0.703460290E+00-0.702979073E+00 --0.702501996E+00-0.702038428E+00-0.701580550E+00-0.701128363E+00-0.700681866E+00 --0.700241059E+00-0.699805943E+00-0.699376517E+00-0.698952781E+00-0.698534736E+00 --0.698122381E+00-0.697715716E+00-0.697314864E+00-0.696921042E+00-0.696531089E+00 --0.696152549E+00-0.695779996E+00-0.695413088E+00-0.695051825E+00-0.694696205E+00 --0.694346230E+00-0.694001900E+00-0.693663213E+00-0.693330171E+00-0.693002774E+00 --0.692681021E+00-0.692364551E+00-0.692049275E+00-0.691745258E+00-0.691445293E+00 --0.691148786E+00-0.690855738E+00-0.690566148E+00-0.690280017E+00-0.689997344E+00 --0.689718129E+00-0.689442372E+00-0.689170074E+00-0.688901235E+00-0.688635853E+00 --0.688373930E+00-0.688115466E+00-0.687860459E+00-0.687608562E+00-0.687363196E+00 --0.687139249E+00-0.686931184E+00-0.686739002E+00-0.686562704E+00-0.686402287E+00 --0.686257754E+00-0.686129104E+00-0.686016336E+00-0.685919451E+00-0.685838449E+00 --0.685773330E+00-0.685722860E+00-0.685686594E+00-0.685665158E+00-0.685658552E+00 --0.685666776E+00-0.685689830E+00-0.685727713E+00-0.685780427E+00-0.685849510E+00 --0.685931216E+00-0.686030271E+00-0.686144319E+00-0.686272814E+00-0.686415754E+00 --0.686573142E+00-0.686744976E+00-0.686931256E+00-0.687131983E+00-0.687347156E+00 --0.687576776E+00-0.687820843E+00-0.688079195E+00-0.688353296E+00-0.688643311E+00 --0.688949238E+00-0.689271078E+00-0.689607937E+00-0.689959512E+00-0.690325954E+00 --0.690707264E+00-0.691103442E+00-0.691514399E+00-0.691941941E+00-0.692385951E+00 --0.692846434E+00-0.693323662E+00-0.693817634E+00-0.694328352E+00-0.694855815E+00 --0.695400022E+00-0.695960975E+00-0.696538673E+00-0.697133115E+00-0.697744303E+00 --0.698374979E+00-0.699008497E+00-0.699645439E+00-0.700285806E+00-0.700929598E+00 --0.701577647E+00-0.702228859E+00-0.702883206E+00-0.703540686E+00-0.704201301E+00 --0.704865049E+00-0.705531931E+00-0.706201948E+00-0.706875098E+00-0.707551383E+00 --0.708230801E+00-0.708913354E+00-0.709599040E+00-0.710287861E+00-0.710979815E+00 --0.711674904E+00-0.712373126E+00-0.713074483E+00-0.713781183E+00-0.714496092E+00 --0.715217084E+00-0.715944158E+00-0.716677914E+00-0.717420658E+00-0.718168853E+00 --0.718922499E+00-0.719681595E+00-0.720446141E+00-0.721216138E+00-0.721991586E+00 --0.722772484E+00-0.723558832E+00-0.724350631E+00-0.725147881E+00-0.725948545E+00 --0.726752731E+00-0.727569487E+00-0.728398813E+00-0.729240708E+00-0.730093003E+00 --0.730952098E+00-0.731818645E+00-0.732692644E+00-0.733574096E+00-0.734462999E+00 --0.735359354E+00-0.736263162E+00-0.737174421E+00-0.738093132E+00-0.739019296E+00 --0.739952911E+00-0.740893978E+00-0.741842498E+00-0.742798469E+00-0.743761893E+00 --0.744735990E+00-0.745724325E+00-0.746725834E+00-0.747740516E+00-0.748768374E+00 --0.749809405E+00-0.750863611E+00-0.751927597E+00-0.752994677E+00-0.754069189E+00 --0.755151131E+00-0.756240503E+00-0.757337306E+00-0.758441540E+00-0.759551504E+00 --0.760672024E+00-0.761803927E+00-0.762947215E+00-0.764101886E+00-0.765267941E+00 --0.766445380E+00-0.767634203E+00-0.768834409E+00-0.770046000E+00-0.771268061E+00 --0.791740826E+00-0.790118057E+00-0.788549281E+00-0.787034497E+00-0.785573707E+00 --0.784166910E+00-0.782814106E+00-0.781515295E+00-0.780270477E+00-0.779079651E+00 --0.777942820E+00-0.776859981E+00-0.775831135E+00-0.774856282E+00-0.773935422E+00 --0.773068555E+00-0.772255682E+00-0.771496801E+00-0.770791913E+00-0.770141019E+00 --0.769523477E+00-0.768809638E+00-0.768098184E+00-0.767389114E+00-0.766682430E+00 --0.765978132E+00-0.765276218E+00-0.764576689E+00-0.763879546E+00-0.763184787E+00 --0.762492414E+00-0.761802426E+00-0.761114823E+00-0.760430462E+00-0.759753271E+00 --0.759081479E+00-0.758421038E+00-0.757769490E+00-0.757111534E+00-0.756450739E+00 --0.755787817E+00-0.755122768E+00-0.754455592E+00-0.753786290E+00-0.753114861E+00 --0.752441305E+00-0.751765622E+00-0.751087813E+00-0.750407876E+00-0.749725813E+00 --0.749041623E+00-0.748355306E+00-0.747666862E+00-0.746976292E+00-0.746281380E+00 --0.745580285E+00-0.744876844E+00-0.744171057E+00-0.743462925E+00-0.742752448E+00 --0.742039626E+00-0.741324458E+00-0.740606945E+00-0.739895349E+00-0.739182843E+00 --0.738469207E+00-0.737754442E+00-0.737038547E+00-0.736321524E+00-0.735603371E+00 --0.734884089E+00-0.734161948E+00-0.733423171E+00-0.732689950E+00-0.731968068E+00 --0.731258874E+00-0.730549613E+00-0.729840283E+00-0.729130886E+00-0.728421421E+00 --0.727711888E+00-0.727002288E+00-0.726292619E+00-0.725589329E+00-0.724897780E+00 --0.724211572E+00-0.723530703E+00-0.722855174E+00-0.722184984E+00-0.721519645E+00 --0.720860480E+00-0.720205919E+00-0.719553913E+00-0.718909646E+00-0.718264159E+00 --0.717626313E+00-0.717000106E+00-0.716381671E+00-0.715767816E+00-0.715158542E+00 --0.714553848E+00-0.713953734E+00-0.713358202E+00-0.712767249E+00-0.712182308E+00 --0.711609913E+00-0.711044585E+00-0.710486324E+00-0.709935130E+00-0.709391003E+00 --0.708853826E+00-0.708324595E+00-0.707803770E+00-0.707285047E+00-0.706774996E+00 --0.706270051E+00-0.705771520E+00-0.705282533E+00-0.704803294E+00-0.704329746E+00 --0.703861888E+00-0.703399720E+00-0.702943242E+00-0.702492455E+00-0.702047358E+00 --0.701607951E+00-0.701174235E+00-0.700748445E+00-0.700330701E+00-0.699919328E+00 --0.699513621E+00-0.699115257E+00-0.698725770E+00-0.698341928E+00-0.697963730E+00 --0.697591177E+00-0.697224268E+00-0.696863004E+00-0.696507383E+00-0.696157407E+00 --0.695813076E+00-0.695472796E+00-0.695137836E+00-0.694810675E+00-0.694491422E+00 --0.694175628E+00-0.693863292E+00-0.693554414E+00-0.693248995E+00-0.692947034E+00 --0.692648532E+00-0.692353488E+00-0.692061902E+00-0.691773775E+00-0.691489106E+00 --0.691207905E+00-0.690931089E+00-0.690659094E+00-0.690391206E+00-0.690129481E+00 --0.689884365E+00-0.689655858E+00-0.689446565E+00-0.689255098E+00-0.689079513E+00 --0.688919812E+00-0.688775992E+00-0.688648056E+00-0.688536003E+00-0.688439832E+00 --0.688359628E+00-0.688295514E+00-0.688246230E+00-0.688211775E+00-0.688192151E+00 --0.688187356E+00-0.688197572E+00-0.688224024E+00-0.688266787E+00-0.688325860E+00 --0.688398101E+00-0.688484519E+00-0.688586274E+00-0.688703587E+00-0.688837852E+00 --0.688986564E+00-0.689149722E+00-0.689327326E+00-0.689519377E+00-0.689725875E+00 --0.689946819E+00-0.690182490E+00-0.690434005E+00-0.690701432E+00-0.690984772E+00 --0.691284025E+00-0.691599191E+00-0.691930269E+00-0.692276713E+00-0.692637841E+00 --0.693013838E+00-0.693404702E+00-0.693810969E+00-0.694234240E+00-0.694674599E+00 --0.695132044E+00-0.695606263E+00-0.696097222E+00-0.696604927E+00-0.697129377E+00 --0.697670571E+00-0.698228511E+00-0.698803195E+00-0.699394625E+00-0.700008176E+00 --0.700638448E+00-0.701269174E+00-0.701903325E+00-0.702540900E+00-0.703181900E+00 --0.703826325E+00-0.704474175E+00-0.705125449E+00-0.705780148E+00-0.706438272E+00 --0.707099821E+00-0.707764794E+00-0.708433192E+00-0.709105015E+00-0.709780262E+00 --0.710458934E+00-0.711141031E+00-0.711826553E+00-0.712514924E+00-0.713206328E+00 --0.713900866E+00-0.714598537E+00-0.715299343E+00-0.716003849E+00-0.716717817E+00 --0.717440016E+00-0.718168292E+00-0.718902019E+00-0.719641197E+00-0.720385825E+00 --0.721135903E+00-0.721891433E+00-0.722652412E+00-0.723418842E+00-0.724190723E+00 --0.724968054E+00-0.725750836E+00-0.726539068E+00-0.727332751E+00-0.728130940E+00 --0.728931368E+00-0.729744366E+00-0.730569933E+00-0.731408070E+00-0.732258778E+00 --0.733120767E+00-0.733989283E+00-0.734865251E+00-0.735748672E+00-0.736639544E+00 --0.737537868E+00-0.738443644E+00-0.739356873E+00-0.740277553E+00-0.741205685E+00 --0.742141270E+00-0.743084306E+00-0.744034794E+00-0.744992735E+00-0.745960194E+00 --0.746941683E+00-0.747936346E+00-0.748944184E+00-0.749965195E+00-0.750999381E+00 --0.752046741E+00-0.753107275E+00-0.754180983E+00-0.755257772E+00-0.756341272E+00 --0.757432202E+00-0.758530564E+00-0.759635983E+00-0.760747630E+00-0.761870661E+00 --0.763005075E+00-0.764150874E+00-0.765308056E+00-0.766476622E+00-0.767656572E+00 --0.768847906E+00-0.770050623E+00-0.771264725E+00-0.772490210E+00-0.773726993E+00 --0.801794078E+00-0.800095919E+00-0.798451753E+00-0.796861581E+00-0.795325402E+00 --0.793843215E+00-0.792415022E+00-0.791040822E+00-0.789720614E+00-0.788454400E+00 --0.787242179E+00-0.786083951E+00-0.784979716E+00-0.783929474E+00-0.782933225E+00 --0.781990969E+00-0.781102706E+00-0.780268436E+00-0.779488160E+00-0.778761876E+00 --0.778089585E+00-0.777336481E+00-0.776566326E+00-0.775798556E+00-0.775033171E+00 --0.774270171E+00-0.773509556E+00-0.772751327E+00-0.771995482E+00-0.771242023E+00 --0.770490949E+00-0.769742260E+00-0.768995956E+00-0.768252038E+00-0.767510504E+00 --0.766771356E+00-0.766032669E+00-0.765315336E+00-0.764599390E+00-0.763879048E+00 --0.763156580E+00-0.762431985E+00-0.761705262E+00-0.760976414E+00-0.760245438E+00 --0.759512335E+00-0.758777106E+00-0.758039750E+00-0.757300267E+00-0.756558657E+00 --0.755814921E+00-0.755069057E+00-0.754321067E+00-0.753570950E+00-0.752818706E+00 --0.752063068E+00-0.751302658E+00-0.750539902E+00-0.749774801E+00-0.749009360E+00 --0.748243590E+00-0.747476691E+00-0.746708663E+00-0.745939505E+00-0.745169218E+00 --0.744397802E+00-0.743625257E+00-0.742851583E+00-0.742076780E+00-0.741300847E+00 --0.740523785E+00-0.739745594E+00-0.738961253E+00-0.738175293E+00-0.737394889E+00 --0.736620042E+00-0.735854391E+00-0.735095320E+00-0.734336181E+00-0.733576974E+00 --0.732817699E+00-0.732058357E+00-0.731298946E+00-0.730554715E+00-0.729819512E+00 --0.729089648E+00-0.728365124E+00-0.727643444E+00-0.726925096E+00-0.726213404E+00 --0.725508367E+00-0.724806225E+00-0.724111346E+00-0.723424207E+00-0.722742664E+00 --0.722065042E+00-0.721395627E+00-0.720734419E+00-0.720082575E+00-0.719436024E+00 --0.718794052E+00-0.718156662E+00-0.717523851E+00-0.716895622E+00-0.716278339E+00 --0.715673594E+00-0.715075916E+00-0.714485305E+00-0.713901014E+00-0.713321477E+00 --0.712750545E+00-0.712188218E+00-0.711631736E+00-0.711082293E+00-0.710541522E+00 --0.710009180E+00-0.709482038E+00-0.708962943E+00-0.708451895E+00-0.707949835E+00 --0.707454926E+00-0.706965706E+00-0.706482177E+00-0.706004339E+00-0.705532190E+00 --0.705065732E+00-0.704606635E+00-0.704156802E+00-0.703714780E+00-0.703280569E+00 --0.702852356E+00-0.702430895E+00-0.702016355E+00-0.701608995E+00-0.701208219E+00 --0.700813087E+00-0.700423600E+00-0.700039757E+00-0.699661559E+00-0.699289004E+00 --0.698922117E+00-0.698561281E+00-0.698206638E+00-0.697858187E+00-0.697518302E+00 --0.697183220E+00-0.696851597E+00-0.696523431E+00-0.696198725E+00-0.695877476E+00 --0.695559686E+00-0.695245354E+00-0.694934481E+00-0.694627141E+00-0.694324488E+00 --0.694026656E+00-0.693733643E+00-0.693445451E+00-0.693161578E+00-0.692885428E+00 --0.692625886E+00-0.692382954E+00-0.692156630E+00-0.691946916E+00-0.691753810E+00 --0.691578775E+00-0.691419787E+00-0.691276682E+00-0.691149460E+00-0.691038121E+00 --0.690944629E+00-0.690867497E+00-0.690805194E+00-0.690757721E+00-0.690724578E+00 --0.690707696E+00-0.690707124E+00-0.690722862E+00-0.690754911E+00-0.690803271E+00 --0.690865936E+00-0.690943109E+00-0.691035619E+00-0.691143465E+00-0.691266648E+00 --0.691405169E+00-0.691559127E+00-0.691728056E+00-0.691911431E+00-0.692109252E+00 --0.692322241E+00-0.692551169E+00-0.692796009E+00-0.693056762E+00-0.693333428E+00 --0.693626006E+00-0.693934497E+00-0.694258901E+00-0.694599218E+00-0.694955164E+00 --0.695325847E+00-0.695711409E+00-0.696113322E+00-0.696532322E+00-0.696968410E+00 --0.697421585E+00-0.697891847E+00-0.698379339E+00-0.698884031E+00-0.699405467E+00 --0.699943649E+00-0.700498575E+00-0.701071099E+00-0.701663604E+00-0.702274040E+00 --0.702900875E+00-0.703528809E+00-0.704160169E+00-0.704794952E+00-0.705433161E+00 --0.706074794E+00-0.706719852E+00-0.707368335E+00-0.708020242E+00-0.708675575E+00 --0.709334332E+00-0.709996513E+00-0.710662119E+00-0.711331151E+00-0.712003606E+00 --0.712679487E+00-0.713358792E+00-0.714041522E+00-0.714727677E+00-0.715417256E+00 --0.716110260E+00-0.716806769E+00-0.717508592E+00-0.718213309E+00-0.718932799E+00 --0.719652058E+00-0.720376768E+00-0.721106928E+00-0.721842539E+00-0.722583600E+00 --0.723330111E+00-0.724082074E+00-0.724839486E+00-0.725602350E+00-0.726370663E+00 --0.727144428E+00-0.727923642E+00-0.728708308E+00-0.729498423E+00-0.730293990E+00 --0.731090743E+00-0.731899982E+00-0.732721791E+00-0.733556170E+00-0.734403119E+00 --0.735262638E+00-0.736134298E+00-0.737012236E+00-0.737897625E+00-0.738790466E+00 --0.739690759E+00-0.740598505E+00-0.741513702E+00-0.742436351E+00-0.743366452E+00 --0.744304006E+00-0.745249011E+00-0.746201468E+00-0.747162543E+00-0.748137187E+00 --0.749125004E+00-0.750125996E+00-0.751140161E+00-0.752167501E+00-0.753208016E+00 --0.754261704E+00-0.755328567E+00-0.756408604E+00-0.757497265E+00-0.758589753E+00 --0.759689673E+00-0.760795665E+00-0.761909823E+00-0.763035365E+00-0.764172291E+00 --0.765320600E+00-0.766480293E+00-0.767651370E+00-0.768833831E+00-0.770027676E+00 --0.771232904E+00-0.772449516E+00-0.773677512E+00-0.774916892E+00-0.776167656E+00 --0.811725970E+00-0.809981044E+00-0.808277763E+00-0.806616330E+00-0.805004762E+00 --0.803447186E+00-0.801943604E+00-0.800494014E+00-0.799098418E+00-0.797756815E+00 --0.796469204E+00-0.795235587E+00-0.794055963E+00-0.792930332E+00-0.791858693E+00 --0.790841048E+00-0.789877396E+00-0.788967737E+00-0.788112072E+00-0.787310399E+00 --0.786562719E+00-0.785785641E+00-0.784956785E+00-0.784130314E+00-0.783306228E+00 --0.782484527E+00-0.781665212E+00-0.780848281E+00-0.780033736E+00-0.779221576E+00 --0.778411801E+00-0.777604411E+00-0.776799406E+00-0.775996786E+00-0.775196552E+00 --0.774396114E+00-0.773592631E+00-0.772789869E+00-0.772019342E+00-0.771246360E+00 --0.770470921E+00-0.769693027E+00-0.768912678E+00-0.768129872E+00-0.767344611E+00 --0.766556894E+00-0.765766722E+00-0.764974094E+00-0.764179010E+00-0.763381471E+00 --0.762581475E+00-0.761779025E+00-0.760974118E+00-0.760166756E+00-0.759356938E+00 --0.758544664E+00-0.757730666E+00-0.756908613E+00-0.756087322E+00-0.755264901E+00 --0.754441351E+00-0.753616672E+00-0.752790864E+00-0.751963926E+00-0.751135860E+00 --0.750306664E+00-0.749476339E+00-0.748644885E+00-0.747812301E+00-0.746978588E+00 --0.746143747E+00-0.745307775E+00-0.744470675E+00-0.743632393E+00-0.742799250E+00 --0.741971663E+00-0.741149633E+00-0.740333159E+00-0.739522546E+00-0.738713597E+00 --0.737904580E+00-0.737095496E+00-0.736288808E+00-0.735504610E+00-0.734725752E+00 --0.733949609E+00-0.733172079E+00-0.732401205E+00-0.731636986E+00-0.730879423E+00 --0.730127491E+00-0.729382000E+00-0.728644249E+00-0.727914237E+00-0.727191966E+00 --0.726475354E+00-0.725766163E+00-0.725065179E+00-0.724372403E+00-0.723687833E+00 --0.723008604E+00-0.722333936E+00-0.721663848E+00-0.720998341E+00-0.720351707E+00 --0.719714612E+00-0.719084584E+00-0.718454826E+00-0.717833587E+00-0.717220953E+00 --0.716616925E+00-0.716021027E+00-0.715432191E+00-0.714852028E+00-0.714280538E+00 --0.713717720E+00-0.713162738E+00-0.712615032E+00-0.712075374E+00-0.711543763E+00 --0.711020199E+00-0.710503903E+00-0.709993323E+00-0.709488433E+00-0.708989233E+00 --0.708495967E+00-0.708014045E+00-0.707539935E+00-0.707073635E+00-0.706615146E+00 --0.706164264E+00-0.705720128E+00-0.705282912E+00-0.704852618E+00-0.704429244E+00 --0.704011961E+00-0.703599895E+00-0.703193474E+00-0.702792697E+00-0.702397565E+00 --0.702010527E+00-0.701630008E+00-0.701255681E+00-0.700887547E+00-0.700525933E+00 --0.700171563E+00-0.699820652E+00-0.699473199E+00-0.699129205E+00-0.698788669E+00 --0.698451482E+00-0.698118172E+00-0.697789683E+00-0.697466013E+00-0.697147164E+00 --0.696833134E+00-0.696523925E+00-0.696219536E+00-0.695919677E+00-0.695629101E+00 --0.695355134E+00-0.695097777E+00-0.694857028E+00-0.694632887E+00-0.694425356E+00 --0.694234434E+00-0.694060121E+00-0.693902214E+00-0.693759823E+00-0.693633940E+00 --0.693528959E+00-0.693437268E+00-0.693360741E+00-0.693300524E+00-0.693256618E+00 --0.693229022E+00-0.693217736E+00-0.693222761E+00-0.693244096E+00-0.693281742E+00 --0.693334722E+00-0.693402649E+00-0.693485913E+00-0.693584514E+00-0.693698452E+00 --0.693827727E+00-0.693972338E+00-0.694132287E+00-0.694307572E+00-0.694498346E+00 --0.694704788E+00-0.694927041E+00-0.695165207E+00-0.695419286E+00-0.695689277E+00 --0.695975181E+00-0.696276998E+00-0.696594728E+00-0.696928370E+00-0.697277925E+00 --0.697643291E+00-0.698023815E+00-0.698421457E+00-0.698836187E+00-0.699268004E+00 --0.699716908E+00-0.700182900E+00-0.700665979E+00-0.701166146E+00-0.701684087E+00 --0.702219255E+00-0.702772009E+00-0.703343029E+00-0.703931980E+00-0.704538862E+00 --0.705162260E+00-0.705787403E+00-0.706415970E+00-0.707047963E+00-0.707683379E+00 --0.708322221E+00-0.708964488E+00-0.709610179E+00-0.710259294E+00-0.710911835E+00 --0.711567800E+00-0.712227190E+00-0.712890005E+00-0.713556244E+00-0.714225909E+00 --0.714898998E+00-0.715575511E+00-0.716255449E+00-0.716940148E+00-0.717628216E+00 --0.718319179E+00-0.719013036E+00-0.719709789E+00-0.720409436E+00-0.721121194E+00 --0.721842671E+00-0.722566047E+00-0.723292640E+00-0.724024684E+00-0.724762178E+00 --0.725505123E+00-0.726253518E+00-0.727007364E+00-0.727766660E+00-0.728531407E+00 --0.729301604E+00-0.730077252E+00-0.730858350E+00-0.731644899E+00-0.732436899E+00 --0.733230855E+00-0.734036336E+00-0.734854386E+00-0.735685007E+00-0.736528198E+00 --0.737383958E+00-0.738252289E+00-0.739133189E+00-0.740020956E+00-0.740915766E+00 --0.741818028E+00-0.742727742E+00-0.743644908E+00-0.744569527E+00-0.745501597E+00 --0.746441119E+00-0.747388094E+00-0.748343037E+00-0.749310835E+00-0.750291806E+00 --0.751285952E+00-0.752293272E+00-0.753313767E+00-0.754347436E+00-0.755394278E+00 --0.756454295E+00-0.757527487E+00-0.758613852E+00-0.759713156E+00-0.760814633E+00 --0.761921415E+00-0.763038083E+00-0.764166136E+00-0.765305573E+00-0.766456393E+00 --0.767618597E+00-0.768792185E+00-0.769977157E+00-0.771173512E+00-0.772381252E+00 --0.773600375E+00-0.774830882E+00-0.776072773E+00-0.777326048E+00-0.778590706E+00 --0.821399264E+00-0.819629128E+00-0.817900638E+00-0.816213791E+00-0.814568589E+00 --0.812965032E+00-0.811399851E+00-0.809874873E+00-0.808403887E+00-0.806986895E+00 --0.805623895E+00-0.804314889E+00-0.803059876E+00-0.801858855E+00-0.800711828E+00 --0.799618794E+00-0.798579753E+00-0.797594704E+00-0.796663649E+00-0.795786587E+00 --0.794963518E+00-0.794157119E+00-0.793269562E+00-0.792384390E+00-0.791501603E+00 --0.790621201E+00-0.789743184E+00-0.788867553E+00-0.787994307E+00-0.787123446E+00 --0.786254970E+00-0.785388879E+00-0.784525173E+00-0.783676270E+00-0.782834678E+00 --0.781990121E+00-0.781142598E+00-0.780292111E+00-0.779446640E+00-0.778617864E+00 --0.777786633E+00-0.776952946E+00-0.776116804E+00-0.775278206E+00-0.774437152E+00 --0.773593643E+00-0.772747678E+00-0.771899257E+00-0.771048380E+00-0.770195048E+00 --0.769339260E+00-0.768481017E+00-0.767620317E+00-0.766757163E+00-0.765891552E+00 --0.765045356E+00-0.764192514E+00-0.763329633E+00-0.762406075E+00-0.761500708E+00 --0.760619378E+00-0.759736919E+00-0.758853331E+00-0.757968614E+00-0.757082767E+00 --0.756195791E+00-0.755307686E+00-0.754418452E+00-0.753528088E+00-0.752636596E+00 --0.751743974E+00-0.750850223E+00-0.749955343E+00-0.749061252E+00-0.748175369E+00 --0.747295042E+00-0.746420272E+00-0.745551059E+00-0.744687402E+00-0.743829301E+00 --0.742972532E+00-0.742113706E+00-0.741266866E+00-0.740438139E+00-0.739601427E+00 --0.738771371E+00-0.737947971E+00-0.737131226E+00-0.736321137E+00-0.735517711E+00 --0.734721608E+00-0.733933245E+00-0.733152621E+00-0.732379738E+00-0.731614594E+00 --0.730857251E+00-0.730108284E+00-0.729367524E+00-0.728634972E+00-0.727910626E+00 --0.727194488E+00-0.726485556E+00-0.725778191E+00-0.725078925E+00-0.724402413E+00 --0.723724642E+00-0.723053096E+00-0.722390155E+00-0.721735820E+00-0.721090090E+00 --0.720452965E+00-0.719824692E+00-0.719205136E+00-0.718594253E+00-0.717992042E+00 --0.717398504E+00-0.716813639E+00-0.716237304E+00-0.715669035E+00-0.715108814E+00 --0.714556639E+00-0.714012512E+00-0.713476431E+00-0.712944736E+00-0.712418485E+00 --0.711902431E+00-0.711396231E+00-0.710897843E+00-0.710407265E+00-0.709924498E+00 --0.709449542E+00-0.708982533E+00-0.708522642E+00-0.708069673E+00-0.707623624E+00 --0.707184496E+00-0.706752289E+00-0.706324154E+00-0.705900799E+00-0.705485573E+00 --0.705079178E+00-0.704678976E+00-0.704284965E+00-0.703897147E+00-0.703515521E+00 --0.703140657E+00-0.702770459E+00-0.702403718E+00-0.702040146E+00-0.701680999E+00 --0.701326672E+00-0.700977166E+00-0.700632479E+00-0.700292613E+00-0.699957566E+00 --0.699627340E+00-0.699301933E+00-0.698981347E+00-0.698665503E+00-0.698360502E+00 --0.698072110E+00-0.697800326E+00-0.697545152E+00-0.697306587E+00-0.697084630E+00 --0.696879282E+00-0.696690543E+00-0.696518413E+00-0.696364911E+00-0.696227163E+00 --0.696106062E+00-0.696002510E+00-0.695915269E+00-0.695844339E+00-0.695789719E+00 --0.695751409E+00-0.695729409E+00-0.695723720E+00-0.695734342E+00-0.695761274E+00 --0.695804459E+00-0.695863141E+00-0.695937159E+00-0.696026514E+00-0.696131207E+00 --0.696251236E+00-0.696387011E+00-0.696539437E+00-0.696708354E+00-0.696891843E+00 --0.697089735E+00-0.697305505E+00-0.697537672E+00-0.697785699E+00-0.698049586E+00 --0.698329333E+00-0.698624940E+00-0.698936407E+00-0.699263735E+00-0.699606922E+00 --0.699965970E+00-0.700341660E+00-0.700734765E+00-0.701144958E+00-0.701572237E+00 --0.702016604E+00-0.702478059E+00-0.702956600E+00-0.703452229E+00-0.703965268E+00 --0.704496915E+00-0.705046451E+00-0.705613917E+00-0.706199314E+00-0.706802642E+00 --0.707422603E+00-0.708044954E+00-0.708670730E+00-0.709299931E+00-0.709932556E+00 --0.710568606E+00-0.711208081E+00-0.711850980E+00-0.712497305E+00-0.713147053E+00 --0.713800227E+00-0.714456826E+00-0.715116849E+00-0.715780296E+00-0.716447916E+00 --0.717119335E+00-0.717793648E+00-0.718470857E+00-0.719150960E+00-0.719833958E+00 --0.720519850E+00-0.721208637E+00-0.721900319E+00-0.722594896E+00-0.723298303E+00 --0.724013150E+00-0.724733541E+00-0.725459155E+00-0.726187632E+00-0.726921559E+00 --0.727660937E+00-0.728405765E+00-0.729156044E+00-0.729911774E+00-0.730672954E+00 --0.731439584E+00-0.732211665E+00-0.732989196E+00-0.733772178E+00-0.734560611E+00 --0.735351704E+00-0.736153427E+00-0.736967719E+00-0.737794582E+00-0.738634014E+00 --0.739486016E+00-0.740350589E+00-0.741227731E+00-0.742117442E+00-0.743015443E+00 --0.743919674E+00-0.744831357E+00-0.745750492E+00-0.746677080E+00-0.747611119E+00 --0.748552610E+00-0.749501676E+00-0.750462627E+00-0.751436754E+00-0.752424054E+00 --0.753424528E+00-0.754438177E+00-0.755465000E+00-0.756504997E+00-0.757558169E+00 --0.758624514E+00-0.759704034E+00-0.760796728E+00-0.761913700E+00-0.763024271E+00 --0.764145980E+00-0.765279309E+00-0.766424258E+00-0.767580828E+00-0.768749018E+00 --0.769928828E+00-0.771120258E+00-0.772323309E+00-0.773537980E+00-0.774764271E+00 --0.776002183E+00-0.777251715E+00-0.778512867E+00-0.779785639E+00-0.781070032E+00 --0.830812665E+00-0.829017319E+00-0.827263619E+00-0.825551563E+00-0.823881151E+00 --0.822252384E+00-0.820665262E+00-0.819119784E+00-0.817615951E+00-0.816144641E+00 --0.814706252E+00-0.813321857E+00-0.811991454E+00-0.810715045E+00-0.809492628E+00 --0.808324205E+00-0.807209774E+00-0.806149337E+00-0.805142893E+00-0.804190442E+00 --0.803291984E+00-0.802447518E+00-0.801504655E+00-0.800560782E+00-0.799619294E+00 --0.798680192E+00-0.797743474E+00-0.796809142E+00-0.795877194E+00-0.794947632E+00 --0.794020455E+00-0.793110729E+00-0.792231027E+00-0.791348361E+00-0.790462729E+00 --0.789574132E+00-0.788682570E+00-0.787788043E+00-0.786890550E+00-0.785997926E+00 --0.785110902E+00-0.784221423E+00-0.783329488E+00-0.782435097E+00-0.781538250E+00 --0.780638948E+00-0.779737190E+00-0.778832977E+00-0.777926308E+00-0.777017183E+00 --0.776105602E+00-0.775191566E+00-0.774275074E+00-0.773358820E+00-0.772455546E+00 --0.771544696E+00-0.770626269E+00-0.769700266E+00-0.768766686E+00-0.767792920E+00 --0.766815844E+00-0.765844199E+00-0.764896064E+00-0.763953567E+00-0.763009940E+00 --0.762065184E+00-0.761119299E+00-0.760172285E+00-0.759224141E+00-0.758274869E+00 --0.757324467E+00-0.756372936E+00-0.755420276E+00-0.754466486E+00-0.753523246E+00 --0.752590179E+00-0.751662670E+00-0.750740716E+00-0.749824320E+00-0.748913480E+00 --0.748008196E+00-0.747108469E+00-0.746213378E+00-0.745324027E+00-0.744441332E+00 --0.743565292E+00-0.742695907E+00-0.741833179E+00-0.740977106E+00-0.740129839E+00 --0.739290772E+00-0.738459444E+00-0.737635856E+00-0.736820008E+00-0.736011899E+00 --0.735211531E+00-0.734421478E+00-0.733640982E+00-0.732868694E+00-0.732104612E+00 --0.731348738E+00-0.730601072E+00-0.729861612E+00-0.729130827E+00-0.728408923E+00 --0.727695624E+00-0.726990931E+00-0.726294843E+00-0.725607360E+00-0.724928483E+00 --0.724259471E+00-0.723600498E+00-0.722950199E+00-0.722308571E+00-0.721675616E+00 --0.721051334E+00-0.720435725E+00-0.719829601E+00-0.719232786E+00-0.718644017E+00 --0.718063296E+00-0.717490622E+00-0.716925995E+00-0.716369415E+00-0.715821476E+00 --0.715283234E+00-0.714752803E+00-0.714230182E+00-0.713715373E+00-0.713208374E+00 --0.712709186E+00-0.712217884E+00-0.711735371E+00-0.711259839E+00-0.710791227E+00 --0.710329536E+00-0.709874766E+00-0.709426917E+00-0.708986101E+00-0.708553704E+00 --0.708127695E+00-0.707707879E+00-0.707294255E+00-0.706886823E+00-0.706485583E+00 --0.706090534E+00-0.705700604E+00-0.705315620E+00-0.704935457E+00-0.704560113E+00 --0.704189590E+00-0.703823886E+00-0.703463003E+00-0.703106939E+00-0.702755696E+00 --0.702409273E+00-0.702067669E+00-0.701730886E+00-0.701399056E+00-0.701079630E+00 --0.700776812E+00-0.700490604E+00-0.700221004E+00-0.699968013E+00-0.699731631E+00 --0.699511858E+00-0.699313338E+00-0.699133421E+00-0.698968884E+00-0.698816191E+00 --0.698684747E+00-0.698570203E+00-0.698471869E+00-0.698389745E+00-0.698323880E+00 --0.698274857E+00-0.698242143E+00-0.698225741E+00-0.698225648E+00-0.698241866E+00 --0.698275146E+00-0.698324582E+00-0.698389355E+00-0.698469464E+00-0.698564848E+00 --0.698676724E+00-0.698805090E+00-0.698949948E+00-0.699111296E+00-0.699288462E+00 --0.699479886E+00-0.699687802E+00-0.699912210E+00-0.700154010E+00-0.700411806E+00 --0.700685463E+00-0.700974979E+00-0.701280356E+00-0.701601593E+00-0.701938689E+00 --0.702291799E+00-0.702662730E+00-0.703050748E+00-0.703455854E+00-0.703878047E+00 --0.704317328E+00-0.704773696E+00-0.705247689E+00-0.705738951E+00-0.706247587E+00 --0.706774598E+00-0.707319953E+00-0.707883763E+00-0.708465606E+00-0.709065380E+00 --0.709681904E+00-0.710301464E+00-0.710924448E+00-0.711550857E+00-0.712180691E+00 --0.712813949E+00-0.713450632E+00-0.714090740E+00-0.714734273E+00-0.715381230E+00 --0.716031896E+00-0.716686665E+00-0.717344330E+00-0.718004889E+00-0.718668343E+00 --0.719334692E+00-0.720003935E+00-0.720676073E+00-0.721351106E+00-0.722029033E+00 --0.722709856E+00-0.723393573E+00-0.724080184E+00-0.724769691E+00-0.725465248E+00 --0.726173465E+00-0.726887227E+00-0.727606532E+00-0.728331381E+00-0.729061744E+00 --0.729797554E+00-0.730538816E+00-0.731285528E+00-0.732037690E+00-0.732795303E+00 --0.733558367E+00-0.734326881E+00-0.735100846E+00-0.735880261E+00-0.736665126E+00 --0.737453291E+00-0.738251255E+00-0.739061790E+00-0.739884894E+00-0.740720568E+00 --0.741568812E+00-0.742429626E+00-0.743303009E+00-0.744188963E+00-0.745087487E+00 --0.745995697E+00-0.746909349E+00-0.747830454E+00-0.748759010E+00-0.749695018E+00 --0.750638478E+00-0.751592565E+00-0.752559845E+00-0.753540300E+00-0.754533929E+00 --0.755540732E+00-0.756560709E+00-0.757593861E+00-0.758640187E+00-0.759709190E+00 --0.760795452E+00-0.761894236E+00-0.763005541E+00-0.764120205E+00-0.765224386E+00 --0.766362452E+00-0.767512138E+00-0.768673445E+00-0.769846372E+00-0.771030919E+00 --0.772227086E+00-0.773434874E+00-0.774654282E+00-0.775885310E+00-0.777127959E+00 --0.778382228E+00-0.779648117E+00-0.780925626E+00-0.782214756E+00-0.783515506E+00 --0.839966171E+00-0.838145616E+00-0.836366706E+00-0.834629440E+00-0.832933819E+00 --0.831279842E+00-0.829667510E+00-0.828096823E+00-0.826567780E+00-0.825080381E+00 --0.823634628E+00-0.822230519E+00-0.820850699E+00-0.819498900E+00-0.818201094E+00 --0.816957282E+00-0.815767462E+00-0.814631636E+00-0.813549802E+00-0.812521962E+00 --0.811548115E+00-0.810628260E+00-0.809662065E+00-0.808659491E+00-0.807659303E+00 --0.806661499E+00-0.805666081E+00-0.804673047E+00-0.803682399E+00-0.802699490E+00 --0.801781679E+00-0.800860903E+00-0.799937162E+00-0.799010456E+00-0.798080784E+00 --0.797148148E+00-0.796212546E+00-0.795273979E+00-0.794332447E+00-0.793387950E+00 --0.792443728E+00-0.791498456E+00-0.790550728E+00-0.789600545E+00-0.788647905E+00 --0.787692810E+00-0.786735260E+00-0.785775254E+00-0.784812792E+00-0.783847874E+00 --0.782880501E+00-0.781910672E+00-0.780943303E+00-0.779982022E+00-0.779013164E+00 --0.778036729E+00-0.777052718E+00-0.776061130E+00-0.775061966E+00-0.774055225E+00 --0.773026592E+00-0.771990567E+00-0.770959973E+00-0.769934809E+00-0.768917379E+00 --0.767914843E+00-0.766911178E+00-0.765906384E+00-0.764900460E+00-0.763893408E+00 --0.762885226E+00-0.761875915E+00-0.760865475E+00-0.759853905E+00-0.758842881E+00 --0.757857075E+00-0.756876825E+00-0.755902132E+00-0.754932996E+00-0.753969416E+00 --0.753011393E+00-0.752062099E+00-0.751118198E+00-0.750180260E+00-0.749249736E+00 --0.748325877E+00-0.747408673E+00-0.746498540E+00-0.745597335E+00-0.744705135E+00 --0.743821605E+00-0.742945815E+00-0.742077765E+00-0.741217967E+00-0.740368195E+00 --0.739527227E+00-0.738695468E+00-0.737873560E+00-0.737061503E+00-0.736258447E+00 --0.735463808E+00-0.734678558E+00-0.733902030E+00-0.733134277E+00-0.732376468E+00 --0.731628604E+00-0.730890062E+00-0.730160030E+00-0.729439414E+00-0.728728563E+00 --0.728027540E+00-0.727337432E+00-0.726655998E+00-0.725983235E+00-0.725319304E+00 --0.724665618E+00-0.724021615E+00-0.723386246E+00-0.722761784E+00-0.722145505E+00 --0.721537273E+00-0.720937143E+00-0.720346829E+00-0.719765790E+00-0.719192988E+00 --0.718629078E+00-0.718074061E+00-0.717527817E+00-0.716989523E+00-0.716459713E+00 --0.715938264E+00-0.715424617E+00-0.714918959E+00-0.714421336E+00-0.713931702E+00 --0.713449269E+00-0.712973996E+00-0.712506307E+00-0.712046210E+00-0.711593580E+00 --0.711147916E+00-0.710709360E+00-0.710277256E+00-0.709851345E+00-0.709431626E+00 --0.709018389E+00-0.708612649E+00-0.708212011E+00-0.707816388E+00-0.707425780E+00 --0.707040187E+00-0.706658334E+00-0.706281253E+00-0.705908993E+00-0.705541553E+00 --0.705178932E+00-0.704821132E+00-0.704468152E+00-0.704120337E+00-0.703786485E+00 --0.703469242E+00-0.703168608E+00-0.702884583E+00-0.702618475E+00-0.702371260E+00 --0.702142607E+00-0.701932516E+00-0.701740987E+00-0.701560755E+00-0.701398836E+00 --0.701256345E+00-0.701132322E+00-0.701024507E+00-0.700932903E+00-0.700857508E+00 --0.700798323E+00-0.700755347E+00-0.700728580E+00-0.700718015E+00-0.700723519E+00 --0.700746784E+00-0.700786127E+00-0.700840961E+00-0.700912286E+00-0.701000103E+00 --0.701104410E+00-0.701225208E+00-0.701362497E+00-0.701516277E+00-0.701686548E+00 --0.701871531E+00-0.702072979E+00-0.702290919E+00-0.702525350E+00-0.702776293E+00 --0.703043859E+00-0.703327285E+00-0.703626571E+00-0.703941717E+00-0.704272724E+00 --0.704620946E+00-0.704986790E+00-0.705369722E+00-0.705769741E+00-0.706186926E+00 --0.706621443E+00-0.707073080E+00-0.707541839E+00-0.708027731E+00-0.708531600E+00 --0.709053812E+00-0.709594368E+00-0.710153265E+00-0.710730856E+00-0.711327077E+00 --0.711940163E+00-0.712556931E+00-0.713177124E+00-0.713800741E+00-0.714427783E+00 --0.715058250E+00-0.715692142E+00-0.716330208E+00-0.716971223E+00-0.717615133E+00 --0.718261938E+00-0.718911637E+00-0.719564231E+00-0.720219720E+00-0.720878104E+00 --0.721539382E+00-0.722203555E+00-0.722870623E+00-0.723540586E+00-0.724213443E+00 --0.724889195E+00-0.725567842E+00-0.726249383E+00-0.726933820E+00-0.727622029E+00 --0.728323617E+00-0.729030749E+00-0.729743425E+00-0.730461645E+00-0.731185409E+00 --0.731914975E+00-0.732652670E+00-0.733395815E+00-0.734144410E+00-0.734898457E+00 --0.735657953E+00-0.736422900E+00-0.737193298E+00-0.737969146E+00-0.738750445E+00 --0.739535615E+00-0.740329821E+00-0.741136597E+00-0.741955943E+00-0.742787859E+00 --0.743632345E+00-0.744489400E+00-0.745359026E+00-0.746241221E+00-0.747135986E+00 --0.748043321E+00-0.748961719E+00-0.749884792E+00-0.750815317E+00-0.751753295E+00 --0.752700647E+00-0.753661082E+00-0.754634691E+00-0.755621474E+00-0.756621432E+00 --0.757642342E+00-0.758679308E+00-0.759728796E+00-0.760790804E+00-0.761865334E+00 --0.762952385E+00-0.764051958E+00-0.765164051E+00-0.766266214E+00-0.767380742E+00 --0.768527967E+00-0.769694011E+00-0.770871675E+00-0.772060959E+00-0.773261863E+00 --0.774474388E+00-0.775698533E+00-0.776934299E+00-0.778181684E+00-0.779440690E+00 --0.780711316E+00-0.781993563E+00-0.783287430E+00-0.784592917E+00-0.785910024E+00 --0.848859784E+00-0.847014020E+00-0.845209899E+00-0.843447424E+00-0.841726593E+00 --0.840047406E+00-0.838409865E+00-0.836813967E+00-0.835259715E+00-0.833747107E+00 --0.832276143E+00-0.830846824E+00-0.829459150E+00-0.828113120E+00-0.826808735E+00 --0.825518024E+00-0.824252816E+00-0.823041600E+00-0.821884378E+00-0.820781148E+00 --0.819731912E+00-0.818736668E+00-0.817741793E+00-0.816680518E+00-0.815621628E+00 --0.814565124E+00-0.813511004E+00-0.812459270E+00-0.811486633E+00-0.810527748E+00 --0.809565897E+00-0.808601082E+00-0.807633301E+00-0.806662555E+00-0.805688844E+00 --0.804712168E+00-0.803732526E+00-0.802749920E+00-0.801764348E+00-0.800775811E+00 --0.799784309E+00-0.798784046E+00-0.797780526E+00-0.796774549E+00-0.795766118E+00 --0.794755230E+00-0.793741887E+00-0.792726088E+00-0.791707833E+00-0.790687123E+00 --0.789663957E+00-0.788644071E+00-0.787624782E+00-0.786597917E+00-0.785563474E+00 --0.784521455E+00-0.783471860E+00-0.782414688E+00-0.781349939E+00-0.780277614E+00 --0.779197712E+00-0.778107092E+00-0.777012118E+00-0.775922574E+00-0.774838461E+00 --0.773759779E+00-0.772686527E+00-0.771620748E+00-0.770557045E+00-0.769492212E+00 --0.768426250E+00-0.767359159E+00-0.766290939E+00-0.765221590E+00-0.764151111E+00 --0.763095728E+00-0.762062739E+00-0.761035306E+00-0.760013430E+00-0.758997111E+00 --0.757986702E+00-0.756985836E+00-0.755991136E+00-0.755003342E+00-0.754023401E+00 --0.753051300E+00-0.752086290E+00-0.751129741E+00-0.750181814E+00-0.749242795E+00 --0.748314803E+00-0.747394372E+00-0.746482831E+00-0.745580358E+00-0.744687122E+00 --0.743804234E+00-0.742931196E+00-0.742068000E+00-0.741215168E+00-0.740373365E+00 --0.739540891E+00-0.738717288E+00-0.737903716E+00-0.737100087E+00-0.736306403E+00 --0.735523090E+00-0.734750821E+00-0.733987940E+00-0.733234609E+00-0.732491431E+00 --0.731758117E+00-0.731036045E+00-0.730323347E+00-0.729620348E+00-0.728927170E+00 --0.728243811E+00-0.727570510E+00-0.726907195E+00-0.726254480E+00-0.725610647E+00 --0.724975902E+00-0.724350431E+00-0.723734235E+00-0.723127724E+00-0.722530300E+00 --0.721941768E+00-0.721362246E+00-0.720792388E+00-0.720231726E+00-0.719678983E+00 --0.719135139E+00-0.718599707E+00-0.718072310E+00-0.717553094E+00-0.717042707E+00 --0.716540783E+00-0.716045886E+00-0.715558638E+00-0.715079011E+00-0.714607132E+00 --0.714142815E+00-0.713685411E+00-0.713234921E+00-0.712790996E+00-0.712353720E+00 --0.711923254E+00-0.711501906E+00-0.711085749E+00-0.710674606E+00-0.710268479E+00 --0.709867367E+00-0.709471270E+00-0.709080187E+00-0.708694120E+00-0.708313068E+00 --0.707936320E+00-0.707562322E+00-0.707193145E+00-0.706829345E+00-0.706481067E+00 --0.706149138E+00-0.705834626E+00-0.705538676E+00-0.705261288E+00-0.705002462E+00 --0.704762198E+00-0.704540495E+00-0.704334207E+00-0.704144713E+00-0.703973569E+00 --0.703820774E+00-0.703687180E+00-0.703569886E+00-0.703468802E+00-0.703383927E+00 --0.703315261E+00-0.703262806E+00-0.703226559E+00-0.703206523E+00-0.703202543E+00 --0.703215430E+00-0.703246206E+00-0.703293391E+00-0.703357147E+00-0.703437395E+00 --0.703534134E+00-0.703647363E+00-0.703777084E+00-0.703923296E+00-0.704085999E+00 --0.704264672E+00-0.704459651E+00-0.704671123E+00-0.704899086E+00-0.705143541E+00 --0.705404487E+00-0.705681858E+00-0.705975053E+00-0.706284109E+00-0.706609413E+00 --0.706953084E+00-0.707313842E+00-0.707691636E+00-0.708086529E+00-0.708498542E+00 --0.708927677E+00-0.709373933E+00-0.709837310E+00-0.710318096E+00-0.710817167E+00 --0.711334580E+00-0.711870336E+00-0.712424434E+00-0.712996876E+00-0.713587731E+00 --0.714197380E+00-0.714811357E+00-0.715428758E+00-0.716049962E+00-0.716674328E+00 --0.717301589E+00-0.717931745E+00-0.718564795E+00-0.719200740E+00-0.719839580E+00 --0.720481314E+00-0.721125943E+00-0.721773467E+00-0.722423886E+00-0.723077199E+00 --0.723733407E+00-0.724392510E+00-0.725054508E+00-0.725719400E+00-0.726387187E+00 --0.727057869E+00-0.727731445E+00-0.728407917E+00-0.729087283E+00-0.729769543E+00 --0.730463605E+00-0.731164108E+00-0.731870155E+00-0.732581745E+00-0.733298879E+00 --0.734021557E+00-0.734749779E+00-0.735486905E+00-0.736231934E+00-0.736982413E+00 --0.737738343E+00-0.738499723E+00-0.739266554E+00-0.740038835E+00-0.740816567E+00 --0.741598677E+00-0.742389125E+00-0.743192142E+00-0.744007730E+00-0.744835888E+00 --0.745676615E+00-0.746529912E+00-0.747395780E+00-0.748274217E+00-0.749165224E+00 --0.750068800E+00-0.750984947E+00-0.751913508E+00-0.752846002E+00-0.753786875E+00 --0.754740464E+00-0.755713156E+00-0.756700826E+00-0.757701017E+00-0.758713730E+00 --0.759738963E+00-0.760776718E+00-0.761826994E+00-0.762889792E+00-0.763965110E+00 --0.765052950E+00-0.766153311E+00-0.767264077E+00-0.768362093E+00-0.769488051E+00 --0.770642526E+00-0.771824927E+00-0.773018949E+00-0.774224590E+00-0.775441852E+00 --0.776670734E+00-0.777911236E+00-0.779163359E+00-0.780427102E+00-0.781702465E+00 --0.782989449E+00-0.784288052E+00-0.785598276E+00-0.786920121E+00-0.788219245E+00 --0.857493503E+00-0.855622529E+00-0.853793199E+00-0.852005514E+00-0.850259473E+00 --0.848555077E+00-0.846892325E+00-0.845271218E+00-0.843691756E+00-0.842153938E+00 --0.840657765E+00-0.839203236E+00-0.837790352E+00-0.836419113E+00-0.835089518E+00 --0.833801568E+00-0.832555262E+00-0.831350601E+00-0.830146619E+00-0.828968000E+00 --0.827843374E+00-0.826772742E+00-0.825743837E+00-0.824623861E+00-0.823506271E+00 --0.822391065E+00-0.821345889E+00-0.820348895E+00-0.819348935E+00-0.818346010E+00 --0.817340120E+00-0.816331265E+00-0.815319445E+00-0.814304659E+00-0.813286908E+00 --0.812266192E+00-0.811242511E+00-0.810215865E+00-0.809186254E+00-0.808153677E+00 --0.807118136E+00-0.806078193E+00-0.805018880E+00-0.803957111E+00-0.802892887E+00 --0.801826206E+00-0.800757071E+00-0.799685479E+00-0.798611432E+00-0.797534929E+00 --0.796461125E+00-0.795383828E+00-0.794298954E+00-0.793206505E+00-0.792106478E+00 --0.790998875E+00-0.789883695E+00-0.788760938E+00-0.787630605E+00-0.786492696E+00 --0.785347209E+00-0.784194146E+00-0.783034420E+00-0.781880497E+00-0.780732004E+00 --0.779588941E+00-0.778451310E+00-0.777319109E+00-0.776192339E+00-0.775070999E+00 --0.773947541E+00-0.772822670E+00-0.771696670E+00-0.770569540E+00-0.769441282E+00 --0.768311894E+00-0.767220411E+00-0.766140238E+00-0.765065623E+00-0.763996564E+00 --0.762932444E+00-0.761877873E+00-0.760832374E+00-0.759794415E+00-0.758763665E+00 --0.757741238E+00-0.756727792E+00-0.755723281E+00-0.754727636E+00-0.753742076E+00 --0.752766867E+00-0.751802046E+00-0.750846873E+00-0.749900769E+00-0.748966602E+00 --0.748041157E+00-0.747126286E+00-0.746222445E+00-0.745329634E+00-0.744447852E+00 --0.743576692E+00-0.742716908E+00-0.741866351E+00-0.741026140E+00-0.740196976E+00 --0.739378859E+00-0.738571789E+00-0.737775635E+00-0.736989687E+00-0.736213848E+00 --0.735448791E+00-0.734694748E+00-0.733951719E+00-0.733219142E+00-0.732496291E+00 --0.731784385E+00-0.731082821E+00-0.730391135E+00-0.729709951E+00-0.729039268E+00 --0.728378700E+00-0.727727348E+00-0.727086298E+00-0.726455039E+00-0.725832608E+00 --0.725219928E+00-0.724616998E+00-0.724023818E+00-0.723440368E+00-0.722865531E+00 --0.722300153E+00-0.721742728E+00-0.721194208E+00-0.720654596E+00-0.720123889E+00 --0.719602090E+00-0.719088103E+00-0.718581710E+00-0.718083079E+00-0.717592424E+00 --0.717109749E+00-0.716634852E+00-0.716167074E+00-0.715706406E+00-0.715252659E+00 --0.714805130E+00-0.714368172E+00-0.713936496E+00-0.713509835E+00-0.713088189E+00 --0.712671557E+00-0.712259941E+00-0.711853339E+00-0.711451753E+00-0.711055778E+00 --0.710665261E+00-0.710280055E+00-0.709900508E+00-0.709525426E+00-0.709160272E+00 --0.708815586E+00-0.708489463E+00-0.708181901E+00-0.707892902E+00-0.707622464E+00 --0.707370588E+00-0.707136550E+00-0.706919480E+00-0.706720760E+00-0.706540390E+00 --0.706378369E+00-0.706234780E+00-0.706108006E+00-0.705997441E+00-0.705903086E+00 --0.705824941E+00-0.705763005E+00-0.705717279E+00-0.705688246E+00-0.705676709E+00 --0.705682672E+00-0.705706197E+00-0.705746633E+00-0.705803395E+00-0.705876481E+00 --0.705965893E+00-0.706071557E+00-0.706193710E+00-0.706332353E+00-0.706487488E+00 --0.706659307E+00-0.706847818E+00-0.707052822E+00-0.707274316E+00-0.707512303E+00 --0.707766781E+00-0.708037751E+00-0.708325213E+00-0.708628768E+00-0.708949530E+00 --0.709287678E+00-0.709642946E+00-0.710015336E+00-0.710404847E+00-0.710811479E+00 --0.711235232E+00-0.711676106E+00-0.712134087E+00-0.712610015E+00-0.713104287E+00 --0.713616901E+00-0.714147857E+00-0.714697157E+00-0.715264799E+00-0.715850826E+00 --0.716455082E+00-0.717064900E+00-0.717677764E+00-0.718294165E+00-0.718913460E+00 --0.719535651E+00-0.720160736E+00-0.720788716E+00-0.721419591E+00-0.722053360E+00 --0.722690024E+00-0.723329583E+00-0.723972037E+00-0.724617385E+00-0.725265629E+00 --0.725916766E+00-0.726570799E+00-0.727227726E+00-0.727887548E+00-0.728550265E+00 --0.729215877E+00-0.729884383E+00-0.730555784E+00-0.731230080E+00-0.731907270E+00 --0.732593430E+00-0.733287303E+00-0.733986721E+00-0.734691682E+00-0.735402187E+00 --0.736118235E+00-0.736839828E+00-0.737566964E+00-0.738300260E+00-0.739047172E+00 --0.739799535E+00-0.740557349E+00-0.741320612E+00-0.742089327E+00-0.742863492E+00 --0.743642476E+00-0.744429166E+00-0.745228425E+00-0.746040254E+00-0.746864654E+00 --0.747701623E+00-0.748551162E+00-0.749413271E+00-0.750287950E+00-0.751175198E+00 --0.752075017E+00-0.752987405E+00-0.753913308E+00-0.754860006E+00-0.755810901E+00 --0.756774317E+00-0.757750255E+00-0.758738714E+00-0.759739693E+00-0.760753195E+00 --0.761779217E+00-0.762817760E+00-0.763868825E+00-0.764932411E+00-0.766008519E+00 --0.767097147E+00-0.768198297E+00-0.769298395E+00-0.770407841E+00-0.771545230E+00 --0.772710560E+00-0.773904888E+00-0.775115266E+00-0.776337265E+00-0.777570884E+00 --0.778816123E+00-0.780072983E+00-0.781341463E+00-0.782621563E+00-0.783913284E+00 --0.785216624E+00-0.786531586E+00-0.787858167E+00-0.789196368E+00-0.790490589E+00 --0.865861765E+00-0.863970496E+00-0.862117955E+00-0.860304142E+00-0.858532459E+00 --0.856802853E+00-0.855114892E+00-0.853468575E+00-0.851863903E+00-0.850300876E+00 --0.848779493E+00-0.847299754E+00-0.845861661E+00-0.844465211E+00-0.843110407E+00 --0.841797247E+00-0.840525731E+00-0.839295861E+00-0.838107634E+00-0.836961053E+00 --0.835856116E+00-0.834736481E+00-0.833644453E+00-0.832489522E+00-0.831359448E+00 --0.830324344E+00-0.829286275E+00-0.828245241E+00-0.827201242E+00-0.826154277E+00 --0.825104348E+00-0.824051453E+00-0.822995593E+00-0.821936768E+00-0.820874977E+00 --0.819810222E+00-0.818742501E+00-0.817671815E+00-0.816598164E+00-0.815521548E+00 --0.814441967E+00-0.813359420E+00-0.812265792E+00-0.811148230E+00-0.810028213E+00 --0.808905740E+00-0.807780811E+00-0.806653427E+00-0.805523587E+00-0.804394463E+00 --0.803259159E+00-0.802116278E+00-0.800965820E+00-0.799807786E+00-0.798642175E+00 --0.797468987E+00-0.796288223E+00-0.795099882E+00-0.793903965E+00-0.792700471E+00 --0.791489400E+00-0.790270753E+00-0.789044529E+00-0.787810729E+00-0.786595703E+00 --0.785388261E+00-0.784186249E+00-0.782989668E+00-0.781798518E+00-0.780612799E+00 --0.779432510E+00-0.778257652E+00-0.777082666E+00-0.775897756E+00-0.774711718E+00 --0.773524550E+00-0.772349841E+00-0.771216929E+00-0.770089573E+00-0.768964592E+00 --0.767846487E+00-0.766737424E+00-0.765637884E+00-0.764547682E+00-0.763465686E+00 --0.762392593E+00-0.761328613E+00-0.760275521E+00-0.759233361E+00-0.758201552E+00 --0.757180093E+00-0.756168986E+00-0.755168229E+00-0.754178782E+00-0.753201577E+00 --0.752235410E+00-0.751280272E+00-0.750336164E+00-0.749403085E+00-0.748481036E+00 --0.747570387E+00-0.746672638E+00-0.745786257E+00-0.744910922E+00-0.744046635E+00 --0.743193395E+00-0.742351201E+00-0.741521272E+00-0.740702985E+00-0.739895709E+00 --0.739099447E+00-0.738314199E+00-0.737539965E+00-0.736776836E+00-0.736026279E+00 --0.735285118E+00-0.734555802E+00-0.733836988E+00-0.733128675E+00-0.732430864E+00 --0.731743554E+00-0.731067239E+00-0.730400696E+00-0.729745159E+00-0.729099507E+00 --0.728463605E+00-0.727837455E+00-0.727221054E+00-0.726615210E+00-0.726018149E+00 --0.725431550E+00-0.724853857E+00-0.724285071E+00-0.723725192E+00-0.723174219E+00 --0.722632506E+00-0.722098418E+00-0.721573578E+00-0.721057450E+00-0.720549303E+00 --0.720049136E+00-0.719556951E+00-0.719072746E+00-0.718595726E+00-0.718125851E+00 --0.717662854E+00-0.717208264E+00-0.716761717E+00-0.716320481E+00-0.715884557E+00 --0.715453944E+00-0.715028644E+00-0.714608655E+00-0.714193978E+00-0.713785156E+00 --0.713382453E+00-0.712985754E+00-0.712594672E+00-0.712206593E+00-0.711828958E+00 --0.711470835E+00-0.711133100E+00-0.710813928E+00-0.710513317E+00-0.710231267E+00 --0.709967781E+00-0.709723136E+00-0.709496840E+00-0.709288895E+00-0.709099298E+00 --0.708928052E+00-0.708775120E+00-0.708638866E+00-0.708518822E+00-0.708414987E+00 --0.708327361E+00-0.708256115E+00-0.708202692E+00-0.708166767E+00-0.708148343E+00 --0.708147419E+00-0.708163994E+00-0.708197764E+00-0.708247861E+00-0.708314282E+00 --0.708397028E+00-0.708496100E+00-0.708611497E+00-0.708743218E+00-0.708891015E+00 --0.709055437E+00-0.709237480E+00-0.709436015E+00-0.709651038E+00-0.709882661E+00 --0.710131005E+00-0.710396069E+00-0.710677853E+00-0.710976177E+00-0.711291066E+00 --0.711623462E+00-0.711973349E+00-0.712340357E+00-0.712724486E+00-0.713125736E+00 --0.713544107E+00-0.713979572E+00-0.714432359E+00-0.714903488E+00-0.715392960E+00 --0.715900775E+00-0.716426932E+00-0.716971892E+00-0.717535055E+00-0.718116200E+00 --0.718714579E+00-0.719318175E+00-0.719924796E+00-0.720534440E+00-0.721147110E+00 --0.721762803E+00-0.722381521E+00-0.723003263E+00-0.723628030E+00-0.724256475E+00 --0.724888069E+00-0.725522558E+00-0.726159941E+00-0.726800219E+00-0.727443392E+00 --0.728089460E+00-0.728738422E+00-0.729390279E+00-0.730045031E+00-0.730702677E+00 --0.731363219E+00-0.732026655E+00-0.732692985E+00-0.733362211E+00-0.734034331E+00 --0.734713091E+00-0.735400335E+00-0.736093123E+00-0.736791455E+00-0.737495330E+00 --0.738204749E+00-0.738919713E+00-0.739640220E+00-0.740366271E+00-0.741097865E+00 --0.741841531E+00-0.742595777E+00-0.743355474E+00-0.744120622E+00-0.744891220E+00 --0.745667012E+00-0.746449944E+00-0.747245445E+00-0.748053516E+00-0.748874157E+00 --0.749707368E+00-0.750553149E+00-0.751411499E+00-0.752282420E+00-0.753165910E+00 --0.754062255E+00-0.754972870E+00-0.755897911E+00-0.756837378E+00-0.757790054E+00 --0.758754259E+00-0.759730985E+00-0.760720233E+00-0.761722001E+00-0.762736291E+00 --0.763763102E+00-0.764802434E+00-0.765854288E+00-0.766918663E+00-0.767995558E+00 --0.769084976E+00-0.770186914E+00-0.771282582E+00-0.772403459E+00-0.773552277E+00 --0.774729038E+00-0.775933891E+00-0.777160627E+00-0.778398983E+00-0.779648960E+00 --0.780910556E+00-0.782183773E+00-0.783468611E+00-0.784765068E+00-0.786073146E+00 --0.787392844E+00-0.788724162E+00-0.790067101E+00-0.791403463E+00-0.792724781E+00 --0.873957373E+00-0.872078741E+00-0.870238837E+00-0.868437662E+00-0.866675215E+00 --0.864951496E+00-0.863266505E+00-0.861620243E+00-0.860012708E+00-0.858443902E+00 --0.856913824E+00-0.855422474E+00-0.853969852E+00-0.852555958E+00-0.851180793E+00 --0.849844355E+00-0.848546646E+00-0.847287665E+00-0.846067412E+00-0.844885888E+00 --0.843743091E+00-0.842639023E+00-0.841535722E+00-0.840363029E+00-0.839341098E+00 --0.838298774E+00-0.837216666E+00-0.836131592E+00-0.835043553E+00-0.833952549E+00 --0.832858579E+00-0.831761645E+00-0.830661745E+00-0.829558880E+00-0.828453050E+00 --0.827344255E+00-0.826232495E+00-0.825117770E+00-0.824000079E+00-0.822879423E+00 --0.821755802E+00-0.820629216E+00-0.819499665E+00-0.818347906E+00-0.817172096E+00 --0.815993831E+00-0.814813109E+00-0.813629932E+00-0.812444087E+00-0.811250775E+00 --0.810049886E+00-0.808841421E+00-0.807625379E+00-0.806401760E+00-0.805170565E+00 --0.803931793E+00-0.802685445E+00-0.801431520E+00-0.800170018E+00-0.798900939E+00 --0.797624285E+00-0.796340053E+00-0.795048245E+00-0.793748860E+00-0.792441898E+00 --0.791157737E+00-0.789891346E+00-0.788630385E+00-0.787374855E+00-0.786124755E+00 --0.784880087E+00-0.783640849E+00-0.782407041E+00-0.781178664E+00-0.779955718E+00 --0.778717472E+00-0.777471395E+00-0.776265377E+00-0.775082278E+00-0.773899547E+00 --0.772723215E+00-0.771557500E+00-0.770402400E+00-0.769257917E+00-0.768124050E+00 --0.767000282E+00-0.765886033E+00-0.764783220E+00-0.763692724E+00-0.762614239E+00 --0.761546285E+00-0.760488681E+00-0.759442357E+00-0.758409204E+00-0.757389248E+00 --0.756382193E+00-0.755386371E+00-0.754401579E+00-0.753427817E+00-0.752466071E+00 --0.751517542E+00-0.750582154E+00-0.749659828E+00-0.748748906E+00-0.747849030E+00 --0.746960463E+00-0.746084639E+00-0.745221586E+00-0.744371481E+00-0.743532866E+00 --0.742705265E+00-0.741889142E+00-0.741085419E+00-0.740293914E+00-0.739512651E+00 --0.738743347E+00-0.737986082E+00-0.737240461E+00-0.736505394E+00-0.735780996E+00 --0.735068147E+00-0.734366845E+00-0.733676458E+00-0.732996464E+00-0.732326943E+00 --0.731667887E+00-0.731019272E+00-0.730381097E+00-0.729753262E+00-0.729135182E+00 --0.728527087E+00-0.727929095E+00-0.727340118E+00-0.726760358E+00-0.726190322E+00 --0.725630013E+00-0.725078354E+00-0.724535464E+00-0.724001467E+00-0.723476357E+00 --0.722959587E+00-0.722450798E+00-0.721949990E+00-0.721457068E+00-0.720971557E+00 --0.720493609E+00-0.720023205E+00-0.719560345E+00-0.719105567E+00-0.718656106E+00 --0.718211943E+00-0.717773418E+00-0.717340897E+00-0.716914379E+00-0.716493865E+00 --0.716079355E+00-0.715670849E+00-0.715266754E+00-0.714868486E+00-0.714482221E+00 --0.714114571E+00-0.713765537E+00-0.713434754E+00-0.713122532E+00-0.712828871E+00 --0.712555681E+00-0.712301810E+00-0.712066289E+00-0.711849117E+00-0.711650296E+00 --0.711469824E+00-0.711307701E+00-0.711162467E+00-0.711032943E+00-0.710919628E+00 --0.710823691E+00-0.710745880E+00-0.710685569E+00-0.710642757E+00-0.710617445E+00 --0.710609633E+00-0.710619320E+00-0.710646508E+00-0.710690130E+00-0.710749887E+00 --0.710825968E+00-0.710918375E+00-0.711027107E+00-0.711152163E+00-0.711293545E+00 --0.711451421E+00-0.711626971E+00-0.711819446E+00-0.712028640E+00-0.712254554E+00 --0.712497189E+00-0.712756543E+00-0.713032618E+00-0.713325204E+00-0.713634831E+00 --0.713961516E+00-0.714305259E+00-0.714666699E+00-0.715045446E+00-0.715441314E+00 --0.715854303E+00-0.716284196E+00-0.716732184E+00-0.717198514E+00-0.717683445E+00 --0.718186845E+00-0.718708228E+00-0.719247594E+00-0.719804942E+00-0.720380272E+00 --0.720972774E+00-0.721570148E+00-0.722170547E+00-0.722773970E+00-0.723380418E+00 --0.723989890E+00-0.724602386E+00-0.725217907E+00-0.725836452E+00-0.726458021E+00 --0.727082615E+00-0.727710233E+00-0.728340876E+00-0.728974543E+00-0.729611234E+00 --0.730251487E+00-0.730895379E+00-0.731542166E+00-0.732191847E+00-0.732844424E+00 --0.733499895E+00-0.734158260E+00-0.734819521E+00-0.735483676E+00-0.736150726E+00 --0.736822589E+00-0.737503203E+00-0.738189362E+00-0.738881064E+00-0.739578310E+00 --0.740281100E+00-0.740989434E+00-0.741703312E+00-0.742422733E+00-0.743147698E+00 --0.743878208E+00-0.744615009E+00-0.745371140E+00-0.746132720E+00-0.746899751E+00 --0.747672233E+00-0.748451460E+00-0.749243202E+00-0.750047515E+00-0.750864398E+00 --0.751693851E+00-0.752535873E+00-0.753390465E+00-0.754252183E+00-0.755126353E+00 --0.756014950E+00-0.756917972E+00-0.757835421E+00-0.758767295E+00-0.759713596E+00 --0.760677833E+00-0.761655348E+00-0.762645384E+00-0.763647941E+00-0.764663020E+00 --0.765690619E+00-0.766730740E+00-0.767783382E+00-0.768848546E+00-0.769926230E+00 --0.771016436E+00-0.772112274E+00-0.773216639E+00-0.774348946E+00-0.775509195E+00 --0.776697385E+00-0.777913518E+00-0.779155032E+00-0.780409746E+00-0.781676079E+00 --0.782954033E+00-0.784243608E+00-0.785544802E+00-0.786857617E+00-0.788182052E+00 --0.789518107E+00-0.790865783E+00-0.792225079E+00-0.793565299E+00-0.794921820E+00 --0.881843939E+00-0.879977945E+00-0.878150678E+00-0.876362141E+00-0.874612331E+00 --0.872901249E+00-0.871228896E+00-0.869595271E+00-0.868000373E+00-0.866444204E+00 --0.864926764E+00-0.863448051E+00-0.862008067E+00-0.860606810E+00-0.859244282E+00 --0.857920482E+00-0.856635410E+00-0.855389067E+00-0.854160722E+00-0.852939323E+00 --0.851766132E+00-0.850641148E+00-0.849483979E+00-0.848026265E+00-0.846974082E+00 --0.845925983E+00-0.844867506E+00-0.843798654E+00-0.842719425E+00-0.841629820E+00 --0.840529838E+00-0.839419480E+00-0.838298745E+00-0.837167635E+00-0.836021128E+00 --0.834868294E+00-0.833712494E+00-0.832553728E+00-0.831391998E+00-0.830227303E+00 --0.829059642E+00-0.827889016E+00-0.826715425E+00-0.825538869E+00-0.824324537E+00 --0.823090478E+00-0.821853739E+00-0.820609996E+00-0.819358676E+00-0.818099780E+00 --0.816833307E+00-0.815559257E+00-0.814277631E+00-0.812988428E+00-0.811691648E+00 --0.810387292E+00-0.809075359E+00-0.807755850E+00-0.806428764E+00-0.805094101E+00 --0.803751862E+00-0.802402046E+00-0.801044653E+00-0.799679684E+00-0.798307139E+00 --0.796927016E+00-0.795566598E+00-0.794241258E+00-0.792921348E+00-0.791606869E+00 --0.790297820E+00-0.788994202E+00-0.787696015E+00-0.786403258E+00-0.785115932E+00 --0.783834037E+00-0.782557572E+00-0.781285502E+00-0.780032486E+00-0.778789767E+00 --0.777557681E+00-0.776336228E+00-0.775125406E+00-0.773925217E+00-0.772736469E+00 --0.771560716E+00-0.770396146E+00-0.769244219E+00-0.768104608E+00-0.766977315E+00 --0.765862534E+00-0.764759462E+00-0.763669431E+00-0.762592616E+00-0.761528999E+00 --0.760478581E+00-0.759441425E+00-0.758415949E+00-0.757403161E+00-0.756403769E+00 --0.755417518E+00-0.754444408E+00-0.753484438E+00-0.752537779E+00-0.751603507E+00 --0.750681590E+00-0.749772478E+00-0.748876155E+00-0.747992966E+00-0.747122563E+00 --0.746264301E+00-0.745418256E+00-0.744584428E+00-0.743763110E+00-0.742954052E+00 --0.742157034E+00-0.741372056E+00-0.740599450E+00-0.739839279E+00-0.739089639E+00 --0.738351694E+00-0.737625296E+00-0.736910745E+00-0.736206913E+00-0.735514043E+00 --0.734832548E+00-0.734162385E+00-0.733502207E+00-0.732853002E+00-0.732214484E+00 --0.731585967E+00-0.730968155E+00-0.730359735E+00-0.729761163E+00-0.729172446E+00 --0.728593455E+00-0.728024674E+00-0.727464802E+00-0.726913823E+00-0.726371736E+00 --0.725838542E+00-0.725314240E+00-0.724797416E+00-0.724288841E+00-0.723789159E+00 --0.723297123E+00-0.722812536E+00-0.722335374E+00-0.721865748E+00-0.721403230E+00 --0.720946748E+00-0.720496303E+00-0.720051958E+00-0.719613632E+00-0.719181311E+00 --0.718754993E+00-0.718334299E+00-0.717919562E+00-0.717511104E+00-0.717116209E+00 --0.716739929E+00-0.716382265E+00-0.716043216E+00-0.715720548E+00-0.715417116E+00 --0.715135669E+00-0.714872573E+00-0.714627826E+00-0.714401428E+00-0.714193381E+00 --0.714003683E+00-0.713832335E+00-0.713678809E+00-0.713539804E+00-0.713420011E+00 --0.713317812E+00-0.713233113E+00-0.713165913E+00-0.713116214E+00-0.713084014E+00 --0.713069314E+00-0.713072114E+00-0.713092414E+00-0.713130204E+00-0.713183296E+00 --0.713252712E+00-0.713338454E+00-0.713440521E+00-0.713558912E+00-0.713694447E+00 --0.713847021E+00-0.714016658E+00-0.714203423E+00-0.714406908E+00-0.714627113E+00 --0.714864038E+00-0.715117683E+00-0.715388020E+00-0.715675325E+00-0.715979689E+00 --0.716301112E+00-0.716639593E+00-0.716995132E+00-0.717367730E+00-0.717758212E+00 --0.718165528E+00-0.718590426E+00-0.719034064E+00-0.719495685E+00-0.719975289E+00 --0.720472874E+00-0.720988443E+00-0.721521993E+00-0.722073526E+00-0.722643042E+00 --0.723229666E+00-0.723820819E+00-0.724414996E+00-0.725012198E+00-0.725612424E+00 --0.726215674E+00-0.726821948E+00-0.727431247E+00-0.728043571E+00-0.728658919E+00 --0.729277291E+00-0.729898688E+00-0.730523108E+00-0.731150554E+00-0.731781024E+00 --0.732414518E+00-0.733051036E+00-0.733690579E+00-0.734333146E+00-0.734978738E+00 --0.735627354E+00-0.736279200E+00-0.736935391E+00-0.737594476E+00-0.738256455E+00 --0.738921923E+00-0.739595908E+00-0.740275437E+00-0.740960510E+00-0.741651127E+00 --0.742347287E+00-0.743048992E+00-0.743756240E+00-0.744469032E+00-0.745187368E+00 --0.745911248E+00-0.746640672E+00-0.747375639E+00-0.748125622E+00-0.748889086E+00 --0.749658001E+00-0.750433713E+00-0.751221697E+00-0.752022252E+00-0.752835376E+00 --0.753659793E+00-0.754483093E+00-0.755320819E+00-0.756172970E+00-0.757039548E+00 --0.757920552E+00-0.758815982E+00-0.759725838E+00-0.760650119E+00-0.761588827E+00 --0.762545039E+00-0.763523342E+00-0.764514167E+00-0.765517513E+00-0.766533380E+00 --0.767561768E+00-0.768602678E+00-0.769656108E+00-0.770722060E+00-0.771800534E+00 --0.772891528E+00-0.773984770E+00-0.775100565E+00-0.776244302E+00-0.777415981E+00 --0.778615602E+00-0.779843164E+00-0.781098481E+00-0.782369551E+00-0.783652242E+00 --0.784946554E+00-0.786252485E+00-0.787570037E+00-0.788899209E+00-0.790240002E+00 --0.791592414E+00-0.792956447E+00-0.794325030E+00-0.795689984E+00-0.797081707E+00 --0.889521463E+00-0.887668107E+00-0.885853478E+00-0.884077577E+00-0.882340405E+00 --0.880641961E+00-0.878982245E+00-0.877361257E+00-0.875778997E+00-0.874235465E+00 --0.872730662E+00-0.871264587E+00-0.869837240E+00-0.868448621E+00-0.867094110E+00 --0.865731228E+00-0.864416554E+00-0.863150086E+00-0.861931827E+00-0.860761774E+00 --0.859639929E+00-0.858566291E+00-0.857298069E+00-0.855902182E+00-0.854654776E+00 --0.853590883E+00-0.852516614E+00-0.851431968E+00-0.850336946E+00-0.849231548E+00 --0.848115773E+00-0.846989622E+00-0.845853095E+00-0.844706191E+00-0.843548911E+00 --0.842381254E+00-0.841203221E+00-0.840014812E+00-0.838816026E+00-0.837606864E+00 --0.836387326E+00-0.835157411E+00-0.833921190E+00-0.832700595E+00-0.831477034E+00 --0.830193941E+00-0.828892190E+00-0.827582863E+00-0.826265958E+00-0.824941478E+00 --0.823609420E+00-0.822269786E+00-0.820922576E+00-0.819567789E+00-0.818205425E+00 --0.816835484E+00-0.815457967E+00-0.814072873E+00-0.812680203E+00-0.811279956E+00 --0.809872132E+00-0.808456732E+00-0.807033755E+00-0.805603202E+00-0.804165072E+00 --0.802719365E+00-0.801266082E+00-0.799822288E+00-0.798437998E+00-0.797059139E+00 --0.795685711E+00-0.794317713E+00-0.792955146E+00-0.791598009E+00-0.790246303E+00 --0.788900028E+00-0.787564854E+00-0.786243374E+00-0.784933282E+00-0.783630150E+00 --0.782341023E+00-0.781063126E+00-0.779795862E+00-0.778539778E+00-0.777298324E+00 --0.776070782E+00-0.774856302E+00-0.773654466E+00-0.772464872E+00-0.771289022E+00 --0.770127563E+00-0.768979932E+00-0.767845651E+00-0.766724909E+00-0.765617705E+00 --0.764524040E+00-0.763444802E+00-0.762379593E+00-0.761328873E+00-0.760291489E+00 --0.759267442E+00-0.758256731E+00-0.757259425E+00-0.756276753E+00-0.755308652E+00 --0.754353351E+00-0.753410844E+00-0.752481148E+00-0.751565228E+00-0.750663490E+00 --0.749775346E+00-0.748899195E+00-0.748036064E+00-0.747187253E+00-0.746350038E+00 --0.745524823E+00-0.744712861E+00-0.743914154E+00-0.743128679E+00-0.742354418E+00 --0.741591795E+00-0.740840851E+00-0.740102408E+00-0.739376038E+00-0.738660993E+00 --0.737957274E+00-0.737264881E+00-0.736583813E+00-0.735913613E+00-0.735254416E+00 --0.734606296E+00-0.733969252E+00-0.733342872E+00-0.732726264E+00-0.732119412E+00 --0.731522409E+00-0.730935979E+00-0.730359611E+00-0.729792280E+00-0.729233984E+00 --0.728684725E+00-0.728144502E+00-0.727613287E+00-0.727090778E+00-0.726576835E+00 --0.726070787E+00-0.725572431E+00-0.725082135E+00-0.724599897E+00-0.724125741E+00 --0.723657681E+00-0.723195657E+00-0.722739669E+00-0.722289924E+00-0.721847739E+00 --0.721410554E+00-0.720978232E+00-0.720553094E+00-0.720134447E+00-0.719730921E+00 --0.719346012E+00-0.718979718E+00-0.718632039E+00-0.718302610E+00-0.717991791E+00 --0.717702102E+00-0.717430762E+00-0.717177772E+00-0.716943131E+00-0.716726841E+00 --0.716528900E+00-0.716349309E+00-0.716188067E+00-0.716043048E+00-0.715918127E+00 --0.715809400E+00-0.715717813E+00-0.715643726E+00-0.715587139E+00-0.715548052E+00 --0.715526464E+00-0.715522376E+00-0.715535789E+00-0.715566700E+00-0.715614509E+00 --0.715677260E+00-0.715756337E+00-0.715851745E+00-0.715965085E+00-0.716095402E+00 --0.716242697E+00-0.716406969E+00-0.716588065E+00-0.716785841E+00-0.717000336E+00 --0.717231552E+00-0.717479514E+00-0.717744498E+00-0.718026541E+00-0.718325642E+00 --0.718641802E+00-0.718975021E+00-0.719325297E+00-0.719692633E+00-0.720076336E+00 --0.720478555E+00-0.720898412E+00-0.721336236E+00-0.721792042E+00-0.722265830E+00 --0.722757601E+00-0.723267354E+00-0.723795090E+00-0.724340808E+00-0.724904509E+00 --0.725485256E+00-0.726070187E+00-0.726658143E+00-0.727249123E+00-0.727843127E+00 --0.728440155E+00-0.729040208E+00-0.729643286E+00-0.730249388E+00-0.730858514E+00 --0.731470664E+00-0.732085839E+00-0.732704039E+00-0.733325262E+00-0.733949510E+00 --0.734576783E+00-0.735207080E+00-0.735840401E+00-0.736476747E+00-0.737116117E+00 --0.737758511E+00-0.738403930E+00-0.739052373E+00-0.739703199E+00-0.740353655E+00 --0.741019343E+00-0.741702819E+00-0.742366107E+00-0.743036622E+00-0.743714365E+00 --0.744403311E+00-0.745098386E+00-0.745799005E+00-0.746505167E+00-0.747216874E+00 --0.747934124E+00-0.748656919E+00-0.749385257E+00-0.750119139E+00-0.750859223E+00 --0.751624571E+00-0.752396703E+00-0.753180930E+00-0.753968130E+00-0.754754985E+00 --0.755556266E+00-0.756371973E+00-0.757202106E+00-0.758046665E+00-0.758905650E+00 --0.759779061E+00-0.760666898E+00-0.761569162E+00-0.762485851E+00-0.763416966E+00 --0.764362507E+00-0.765334968E+00-0.766326581E+00-0.767330716E+00-0.768347372E+00 --0.769376549E+00-0.770418247E+00-0.771472466E+00-0.772539207E+00-0.773618469E+00 --0.774707852E+00-0.775807135E+00-0.776934360E+00-0.778089527E+00-0.779272637E+00 --0.780483688E+00-0.781722680E+00-0.782989615E+00-0.784278401E+00-0.785577449E+00 --0.786888118E+00-0.788210407E+00-0.789544316E+00-0.790889845E+00-0.792246995E+00 --0.793615765E+00-0.794996155E+00-0.796377360E+00-0.797777516E+00-0.799204442E+00 --0.896989946E+00-0.895149227E+00-0.893347235E+00-0.891583972E+00-0.889859437E+00 --0.888173630E+00-0.886526552E+00-0.884918201E+00-0.883348579E+00-0.881817685E+00 --0.880325519E+00-0.878831520E+00-0.877375363E+00-0.875967412E+00-0.874607669E+00 --0.873296134E+00-0.872032805E+00-0.870817684E+00-0.869650770E+00-0.868532064E+00 --0.867461565E+00-0.866387874E+00-0.865090387E+00-0.863756326E+00-0.862385693E+00 --0.861303492E+00-0.860213430E+00-0.859112992E+00-0.858002177E+00-0.856880985E+00 --0.855749418E+00-0.854607474E+00-0.853455153E+00-0.852292456E+00-0.851119383E+00 --0.849935934E+00-0.848742108E+00-0.847537905E+00-0.846323327E+00-0.845098372E+00 --0.843863040E+00-0.842617332E+00-0.841361248E+00-0.840094787E+00-0.838678188E+00 --0.837439198E+00-0.836057628E+00-0.834645124E+00-0.833230954E+00-0.831815119E+00 --0.830397617E+00-0.828978449E+00-0.827560214E+00-0.826139843E+00-0.824711894E+00 --0.823276370E+00-0.821833268E+00-0.820382590E+00-0.818924335E+00-0.817458504E+00 --0.815985096E+00-0.814504112E+00-0.813015551E+00-0.811519413E+00-0.810015698E+00 --0.808504407E+00-0.806985540E+00-0.805459095E+00-0.803925074E+00-0.802481566E+00 --0.801043758E+00-0.799611380E+00-0.798184433E+00-0.796762917E+00-0.795344194E+00 --0.793934088E+00-0.792536673E+00-0.791151948E+00-0.789779914E+00-0.788419869E+00 --0.787071057E+00-0.785735252E+00-0.784412007E+00-0.783103058E+00-0.781807763E+00 --0.780526569E+00-0.779259561E+00-0.778007247E+00-0.776769324E+00-0.775545791E+00 --0.774336649E+00-0.773142868E+00-0.771964448E+00-0.770799387E+00-0.769649056E+00 --0.768513910E+00-0.767393950E+00-0.766288026E+00-0.765197300E+00-0.764121831E+00 --0.763060226E+00-0.762012384E+00-0.760979553E+00-0.759961807E+00-0.758959203E+00 --0.757970519E+00-0.756995073E+00-0.756033788E+00-0.755086685E+00-0.754153764E+00 --0.753235024E+00-0.752331282E+00-0.751439463E+00-0.750561463E+00-0.749696777E+00 --0.748845346E+00-0.748007168E+00-0.747182243E+00-0.746370573E+00-0.745571667E+00 --0.744784710E+00-0.744010500E+00-0.743249088E+00-0.742500447E+00-0.741763613E+00 --0.741038135E+00-0.740324705E+00-0.739623593E+00-0.738933424E+00-0.738254623E+00 --0.737587270E+00-0.736930994E+00-0.736286029E+00-0.735651551E+00-0.735027044E+00 --0.734413514E+00-0.733811053E+00-0.733218479E+00-0.732635459E+00-0.732061975E+00 --0.731497578E+00-0.730942881E+00-0.730397643E+00-0.729861520E+00-0.729333999E+00 --0.728815356E+00-0.728304719E+00-0.727802002E+00-0.727307195E+00-0.726820912E+00 --0.726341314E+00-0.725868662E+00-0.725402955E+00-0.724944193E+00-0.724492053E+00 --0.724044174E+00-0.723602849E+00-0.723167351E+00-0.722738515E+00-0.722326359E+00 --0.721932820E+00-0.721557896E+00-0.721201548E+00-0.720864522E+00-0.720547041E+00 --0.720249105E+00-0.719970920E+00-0.719711554E+00-0.719470538E+00-0.719247871E+00 --0.719043555E+00-0.718857588E+00-0.718689479E+00-0.718537128E+00-0.718403918E+00 --0.718290902E+00-0.718194898E+00-0.718115907E+00-0.718053927E+00-0.718008960E+00 --0.717981005E+00-0.717970106E+00-0.717976631E+00-0.718000655E+00-0.718042179E+00 --0.718099612E+00-0.718172249E+00-0.718263333E+00-0.718371394E+00-0.718496433E+00 --0.718638450E+00-0.718797443E+00-0.718973373E+00-0.719165439E+00-0.719374225E+00 --0.719599731E+00-0.719842349E+00-0.720102071E+00-0.720378851E+00-0.720672690E+00 --0.720983587E+00-0.721311373E+00-0.721655821E+00-0.722017083E+00-0.722395580E+00 --0.722791930E+00-0.723205935E+00-0.723637594E+00-0.724087096E+00-0.724555069E+00 --0.725041025E+00-0.725544964E+00-0.726066885E+00-0.726606788E+00-0.727164674E+00 --0.727739544E+00-0.728318253E+00-0.728899987E+00-0.729484745E+00-0.730072528E+00 --0.730663335E+00-0.731257166E+00-0.731854022E+00-0.732453902E+00-0.733056806E+00 --0.733662735E+00-0.734271688E+00-0.734883666E+00-0.735498668E+00-0.736116695E+00 --0.736737745E+00-0.737361821E+00-0.737987839E+00-0.738615290E+00-0.739245228E+00 --0.739877652E+00-0.740512563E+00-0.741149961E+00-0.741789846E+00-0.742440784E+00 --0.743121632E+00-0.743802268E+00-0.744482692E+00-0.745156561E+00-0.745818600E+00 --0.746487867E+00-0.747164362E+00-0.747848083E+00-0.748539033E+00-0.749237209E+00 --0.749942614E+00-0.750655245E+00-0.751375105E+00-0.752102191E+00-0.752836506E+00 --0.753578047E+00-0.754317449E+00-0.755067860E+00-0.755832696E+00-0.756611958E+00 --0.757405646E+00-0.758213761E+00-0.759036301E+00-0.759873267E+00-0.760724660E+00 --0.761590478E+00-0.762470722E+00-0.763365393E+00-0.764274489E+00-0.765198011E+00 --0.766135960E+00-0.767090226E+00-0.768082628E+00-0.769087551E+00-0.770104996E+00 --0.771134961E+00-0.772177448E+00-0.773232456E+00-0.774299986E+00-0.775380036E+00 --0.776468656E+00-0.777579369E+00-0.778718025E+00-0.779884622E+00-0.781079161E+00 --0.782301643E+00-0.783552066E+00-0.784830431E+00-0.786136294E+00-0.787451700E+00 --0.788778726E+00-0.790117372E+00-0.791467638E+00-0.792829525E+00-0.794203032E+00 --0.795588159E+00-0.796983948E+00-0.798392537E+00-0.799827896E+00-0.801290025E+00 --0.904249388E+00-0.902421305E+00-0.900631951E+00-0.898881326E+00-0.897169428E+00 --0.895496259E+00-0.893861817E+00-0.892240200E+00-0.890642559E+00-0.889093126E+00 --0.887591899E+00-0.886138881E+00-0.884734069E+00-0.883377465E+00-0.882069068E+00 --0.880808878E+00-0.879596896E+00-0.878433121E+00-0.877317554E+00-0.876250193E+00 --0.875231040E+00-0.874096594E+00-0.872860933E+00-0.871588699E+00-0.870279893E+00 --0.869063811E+00-0.867957955E+00-0.866841724E+00-0.865715116E+00-0.864578132E+00 --0.863430771E+00-0.862273034E+00-0.861104921E+00-0.859926431E+00-0.858737565E+00 --0.857538322E+00-0.856328703E+00-0.855108708E+00-0.853878336E+00-0.852637588E+00 --0.851386464E+00-0.850124963E+00-0.848853086E+00-0.847383613E+00-0.845843360E+00 --0.844591965E+00-0.843325148E+00-0.841848970E+00-0.840336927E+00-0.838823217E+00 --0.837307842E+00-0.835790800E+00-0.834272093E+00-0.832751719E+00-0.831229679E+00 --0.829705973E+00-0.828180601E+00-0.826653562E+00-0.825124858E+00-0.823594487E+00 --0.822062450E+00-0.820528748E+00-0.818990039E+00-0.817428317E+00-0.815859018E+00 --0.814282143E+00-0.812697691E+00-0.811105662E+00-0.809506057E+00-0.807898875E+00 --0.806371961E+00-0.804875204E+00-0.803378443E+00-0.801879711E+00-0.800393670E+00 --0.798920320E+00-0.797459659E+00-0.796011690E+00-0.794576411E+00-0.793153822E+00 --0.791744757E+00-0.790349568E+00-0.788970044E+00-0.787606185E+00-0.786257358E+00 --0.784923038E+00-0.783604172E+00-0.782301414E+00-0.781014959E+00-0.779743370E+00 --0.778487164E+00-0.777247476E+00-0.776022371E+00-0.774813989E+00-0.773621792E+00 --0.772444780E+00-0.771283257E+00-0.770138216E+00-0.769008493E+00-0.767894420E+00 --0.766796538E+00-0.765713388E+00-0.764645428E+00-0.763592657E+00-0.762555075E+00 --0.761533750E+00-0.760526885E+00-0.759534410E+00-0.758556326E+00-0.757592633E+00 --0.756643823E+00-0.755711280E+00-0.754790087E+00-0.753884483E+00-0.752994059E+00 --0.752116855E+00-0.751252869E+00-0.750402102E+00-0.749564566E+00-0.748741299E+00 --0.747931717E+00-0.747134902E+00-0.746350854E+00-0.745579573E+00-0.744820227E+00 --0.744074095E+00-0.743340357E+00-0.742618939E+00-0.741909893E+00-0.741212499E+00 --0.740526711E+00-0.739852527E+00-0.739189206E+00-0.738537245E+00-0.737896352E+00 --0.737266560E+00-0.736647868E+00-0.736040080E+00-0.735441909E+00-0.734853515E+00 --0.734275436E+00-0.733707389E+00-0.733148758E+00-0.732599499E+00-0.732059485E+00 --0.731528220E+00-0.731005619E+00-0.730490964E+00-0.729984700E+00-0.729487082E+00 --0.728997812E+00-0.728515528E+00-0.728040190E+00-0.727571796E+00-0.727109870E+00 --0.726654447E+00-0.726205578E+00-0.725762333E+00-0.725323308E+00-0.724902522E+00 --0.724500353E+00-0.724118074E+00-0.723755418E+00-0.723412308E+00-0.723088743E+00 --0.722784723E+00-0.722500249E+00-0.722235320E+00-0.721988156E+00-0.721759113E+00 --0.721548421E+00-0.721356078E+00-0.721181725E+00-0.721024946E+00-0.720886229E+00 --0.720765756E+00-0.720664644E+00-0.720580545E+00-0.720513458E+00-0.720463383E+00 --0.720430320E+00-0.720414270E+00-0.720415232E+00-0.720433206E+00-0.720468192E+00 --0.720520236E+00-0.720589196E+00-0.720674997E+00-0.720777780E+00-0.720897541E+00 --0.721034279E+00-0.721187994E+00-0.721358686E+00-0.721545702E+00-0.721748779E+00 --0.721968878E+00-0.722206279E+00-0.722460738E+00-0.722732271E+00-0.723020856E+00 --0.723326254E+00-0.723648467E+00-0.723987494E+00-0.724343333E+00-0.724716161E+00 --0.725106643E+00-0.725514779E+00-0.725940569E+00-0.726384013E+00-0.726845112E+00 --0.727323864E+00-0.727821271E+00-0.728337377E+00-0.728871465E+00-0.729423536E+00 --0.729992528E+00-0.730565016E+00-0.731140528E+00-0.731719065E+00-0.732300626E+00 --0.732885211E+00-0.733472821E+00-0.734063455E+00-0.734657113E+00-0.735253796E+00 --0.735853504E+00-0.736455588E+00-0.737060034E+00-0.737666966E+00-0.738276386E+00 --0.738888292E+00-0.739502685E+00-0.740119564E+00-0.740738930E+00-0.741360783E+00 --0.741985123E+00-0.742611949E+00-0.743241262E+00-0.743877955E+00-0.744545440E+00 --0.745212714E+00-0.745879775E+00-0.746546625E+00-0.747213264E+00-0.747879690E+00 --0.748543369E+00-0.749204160E+00-0.749872178E+00-0.750547424E+00-0.751229897E+00 --0.751919597E+00-0.752616525E+00-0.753320681E+00-0.754032064E+00-0.754750675E+00 --0.755476513E+00-0.756206335E+00-0.756914313E+00-0.757650169E+00-0.758421838E+00 --0.759207934E+00-0.760008455E+00-0.760823403E+00-0.761652777E+00-0.762496576E+00 --0.763354802E+00-0.764227453E+00-0.765114531E+00-0.766016034E+00-0.766931964E+00 --0.767862320E+00-0.768807101E+00-0.769782306E+00-0.770788018E+00-0.771806251E+00 --0.772837006E+00-0.773880281E+00-0.774936078E+00-0.776004396E+00-0.777085128E+00 --0.778179329E+00-0.779301473E+00-0.780451559E+00-0.781629586E+00-0.782835556E+00 --0.784069467E+00-0.785331320E+00-0.786621116E+00-0.787938853E+00-0.789274994E+00 --0.790618377E+00-0.791973381E+00-0.793340005E+00-0.794718249E+00-0.796108113E+00 --0.797509597E+00-0.798926770E+00-0.800370562E+00-0.801841124E+00-0.803338455E+00 --0.911299787E+00-0.909484342E+00-0.907707626E+00-0.905957267E+00-0.904218143E+00 --0.902527226E+00-0.900884517E+00-0.899290015E+00-0.897743720E+00-0.896245633E+00 --0.894795753E+00-0.893394080E+00-0.892040615E+00-0.890735357E+00-0.889478306E+00 --0.888269462E+00-0.887108826E+00-0.885996397E+00-0.884932176E+00-0.883916162E+00 --0.882920803E+00-0.881783541E+00-0.880609707E+00-0.879399300E+00-0.878152320E+00 --0.876871838E+00-0.875750190E+00-0.874618165E+00-0.873475764E+00-0.872322987E+00 --0.871159834E+00-0.869986304E+00-0.868802397E+00-0.867608114E+00-0.866403455E+00 --0.865188420E+00-0.863963008E+00-0.862727219E+00-0.861481055E+00-0.860224514E+00 --0.858957596E+00-0.857644198E+00-0.856184602E+00-0.854670705E+00-0.853107302E+00 --0.851822779E+00-0.850471301E+00-0.849052868E+00-0.847476243E+00-0.845864660E+00 --0.844251411E+00-0.842636496E+00-0.841019915E+00-0.839401668E+00-0.837781754E+00 --0.836160175E+00-0.834536929E+00-0.832912017E+00-0.831285439E+00-0.829657195E+00 --0.828027285E+00-0.826395708E+00-0.824762466E+00-0.823127557E+00-0.821490982E+00 --0.819852741E+00-0.818212834E+00-0.816571261E+00-0.814928022E+00-0.813283116E+00 --0.811644756E+00-0.810083679E+00-0.808509069E+00-0.806946658E+00-0.805396448E+00 --0.803858438E+00-0.802332628E+00-0.800819019E+00-0.799317610E+00-0.797828400E+00 --0.796355140E+00-0.794901953E+00-0.793466947E+00-0.792047466E+00-0.790643523E+00 --0.789255683E+00-0.787885189E+00-0.786531296E+00-0.785194823E+00-0.783875850E+00 --0.782573471E+00-0.781287863E+00-0.780019058E+00-0.778766823E+00-0.777531157E+00 --0.776312408E+00-0.775111343E+00-0.773925994E+00-0.772757874E+00-0.771606308E+00 --0.770471296E+00-0.769352967E+00-0.768249829E+00-0.767161959E+00-0.766090879E+00 --0.765037265E+00-0.763999112E+00-0.762975350E+00-0.761965982E+00-0.760972173E+00 --0.759994838E+00-0.759033474E+00-0.758085915E+00-0.757153494E+00-0.756236210E+00 --0.755333360E+00-0.754443743E+00-0.753567595E+00-0.752706376E+00-0.751860016E+00 --0.751028151E+00-0.750209207E+00-0.749403031E+00-0.748610114E+00-0.747830531E+00 --0.747064196E+00-0.746311107E+00-0.745569690E+00-0.744841989E+00-0.744125920E+00 --0.743421878E+00-0.742730290E+00-0.742051075E+00-0.741383208E+00-0.740726399E+00 --0.740080646E+00-0.739445951E+00-0.738822702E+00-0.738210798E+00-0.737608975E+00 --0.737017332E+00-0.736435874E+00-0.735864737E+00-0.735303281E+00-0.734751607E+00 --0.734209071E+00-0.733674747E+00-0.733149567E+00-0.732633672E+00-0.732126356E+00 --0.731627637E+00-0.731135730E+00-0.730650759E+00-0.730173861E+00-0.729704340E+00 --0.729241373E+00-0.728784960E+00-0.728335101E+00-0.727888825E+00-0.727460017E+00 --0.727052187E+00-0.726663902E+00-0.726295162E+00-0.725945968E+00-0.725616319E+00 --0.725306216E+00-0.725015658E+00-0.724744645E+00-0.724493178E+00-0.724260567E+00 --0.724043499E+00-0.723844781E+00-0.723665039E+00-0.723503832E+00-0.723360688E+00 --0.723235605E+00-0.723128584E+00-0.723039354E+00-0.722967159E+00-0.722911976E+00 --0.722873805E+00-0.722852647E+00-0.722848501E+00-0.722861368E+00-0.722892249E+00 --0.722940111E+00-0.723004698E+00-0.723086010E+00-0.723184047E+00-0.723298809E+00 --0.723430297E+00-0.723578621E+00-0.723744035E+00-0.723926426E+00-0.724124085E+00 --0.724339165E+00-0.724571740E+00-0.724821275E+00-0.725087625E+00-0.725370789E+00 --0.725670767E+00-0.725987560E+00-0.726321166E+00-0.726671120E+00-0.727038080E+00 --0.727422693E+00-0.727824961E+00-0.728244882E+00-0.728682458E+00-0.729137687E+00 --0.729610571E+00-0.730101108E+00-0.730609300E+00-0.731135146E+00-0.731681095E+00 --0.732244211E+00-0.732810477E+00-0.733379767E+00-0.733952082E+00-0.734527492E+00 --0.735106446E+00-0.735687887E+00-0.736271814E+00-0.736858228E+00-0.737447129E+00 --0.738038517E+00-0.738632391E+00-0.739228752E+00-0.739827600E+00-0.740428934E+00 --0.741032755E+00-0.741639063E+00-0.742247857E+00-0.742859139E+00-0.743472907E+00 --0.744089161E+00-0.744707903E+00-0.745330856E+00-0.745984978E+00-0.746638889E+00 --0.747292588E+00-0.747946075E+00-0.748599351E+00-0.749252415E+00-0.749905268E+00 --0.750557908E+00-0.751210337E+00-0.751863244E+00-0.752522786E+00-0.753189555E+00 --0.753863552E+00-0.754544776E+00-0.755233228E+00-0.755928907E+00-0.756631814E+00 --0.757341949E+00-0.758059310E+00-0.758760957E+00-0.759468642E+00-0.760203654E+00 --0.760965996E+00-0.761756057E+00-0.762563412E+00-0.763385193E+00-0.764221400E+00 --0.765072033E+00-0.765937091E+00-0.766816576E+00-0.767710487E+00-0.768618824E+00 --0.769541587E+00-0.770478776E+00-0.771430390E+00-0.772432117E+00-0.773451139E+00 --0.774482682E+00-0.775526746E+00-0.776583331E+00-0.777652438E+00-0.778734240E+00 --0.779839872E+00-0.780973446E+00-0.782134962E+00-0.783324420E+00-0.784541819E+00 --0.785787161E+00-0.787060444E+00-0.788361670E+00-0.789690837E+00-0.791047332E+00 --0.792407073E+00-0.793778433E+00-0.795161414E+00-0.796556016E+00-0.797962237E+00 --0.799380216E+00-0.800832440E+00-0.802311435E+00-0.803817199E+00-0.805349733E+00 --0.918102114E+00-0.916269715E+00-0.914485522E+00-0.912749537E+00-0.911061759E+00 --0.909422189E+00-0.907830826E+00-0.906287670E+00-0.904792721E+00-0.903345980E+00 --0.901947446E+00-0.900597119E+00-0.899295000E+00-0.898041088E+00-0.896835383E+00 --0.895677886E+00-0.894568596E+00-0.893507513E+00-0.892494637E+00-0.891529969E+00 --0.890524152E+00-0.889448717E+00-0.888336709E+00-0.887188129E+00-0.886002976E+00 --0.884781250E+00-0.883590133E+00-0.882442316E+00-0.881284122E+00-0.880115552E+00 --0.878936605E+00-0.877747282E+00-0.876547583E+00-0.875337507E+00-0.874117055E+00 --0.872886226E+00-0.871645021E+00-0.870393440E+00-0.869131482E+00-0.867859148E+00 --0.866514396E+00-0.865081155E+00-0.863593614E+00-0.862051773E+00-0.860500825E+00 --0.859131641E+00-0.857695501E+00-0.856192408E+00-0.854622359E+00-0.852939448E+00 --0.851228325E+00-0.849515537E+00-0.847801082E+00-0.846084961E+00-0.844367174E+00 --0.842647721E+00-0.840926602E+00-0.839203816E+00-0.837479365E+00-0.835753247E+00 --0.834025463E+00-0.832296013E+00-0.830564897E+00-0.828832115E+00-0.827097667E+00 --0.825361552E+00-0.823623772E+00-0.821884325E+00-0.820143212E+00-0.818464545E+00 --0.816853209E+00-0.815279175E+00-0.813614780E+00-0.811963446E+00-0.810334504E+00 --0.808729055E+00-0.807135805E+00-0.805554755E+00-0.803985906E+00-0.802429561E+00 --0.800897599E+00-0.799384977E+00-0.797891694E+00-0.796417752E+00-0.794959825E+00 --0.793518686E+00-0.792096111E+00-0.790691900E+00-0.789306899E+00-0.787939597E+00 --0.786589870E+00-0.785259418E+00-0.783946913E+00-0.782650956E+00-0.781373335E+00 --0.780114860E+00-0.778873375E+00-0.777649312E+00-0.776443241E+00-0.775255062E+00 --0.774082557E+00-0.772928229E+00-0.771790208E+00-0.770669329E+00-0.769565757E+00 --0.768479492E+00-0.767409958E+00-0.766355070E+00-0.765316333E+00-0.764294070E+00 --0.763288280E+00-0.762298905E+00-0.761324979E+00-0.760366192E+00-0.759422543E+00 --0.758494032E+00-0.757580134E+00-0.756680972E+00-0.755796669E+00-0.754927223E+00 --0.754072636E+00-0.753231653E+00-0.752404632E+00-0.751591618E+00-0.750791851E+00 --0.750005500E+00-0.749233197E+00-0.748474611E+00-0.747727512E+00-0.746993621E+00 --0.746272597E+00-0.745564029E+00-0.744868493E+00-0.744184896E+00-0.743512342E+00 --0.742851346E+00-0.742202328E+00-0.741565287E+00-0.740940224E+00-0.740325568E+00 --0.739721060E+00-0.739127005E+00-0.738543990E+00-0.737971330E+00-0.737408323E+00 --0.736855107E+00-0.736311205E+00-0.735776588E+00-0.735251259E+00-0.734735215E+00 --0.734228457E+00-0.733729266E+00-0.733236146E+00-0.732752527E+00-0.732275462E+00 --0.731804984E+00-0.731341743E+00-0.730885590E+00-0.730434802E+00-0.729998442E+00 --0.729586249E+00-0.729193277E+00-0.728819526E+00-0.728464995E+00-0.728129686E+00 --0.727813582E+00-0.727516941E+00-0.727239844E+00-0.726982293E+00-0.726744288E+00 --0.726525828E+00-0.726323695E+00-0.726139421E+00-0.725973786E+00-0.725826214E+00 --0.725696703E+00-0.725585255E+00-0.725491867E+00-0.725415030E+00-0.725354740E+00 --0.725311461E+00-0.725285195E+00-0.725276698E+00-0.725286737E+00-0.725313500E+00 --0.725356988E+00-0.725417201E+00-0.725494140E+00-0.725587803E+00-0.725698192E+00 --0.725825306E+00-0.725969140E+00-0.726129657E+00-0.726307042E+00-0.726501236E+00 --0.726712118E+00-0.726939704E+00-0.727183996E+00-0.727444994E+00-0.727722721E+00 --0.728017279E+00-0.728328651E+00-0.728656808E+00-0.729000245E+00-0.729361336E+00 --0.729740081E+00-0.730136479E+00-0.730550523E+00-0.730982130E+00-0.731431305E+00 --0.731898048E+00-0.732382359E+00-0.732884239E+00-0.733403686E+00-0.733940701E+00 --0.734496723E+00-0.735059623E+00-0.735623180E+00-0.736189076E+00-0.736757458E+00 --0.737328327E+00-0.737901683E+00-0.738477525E+00-0.739055855E+00-0.739636670E+00 --0.740219973E+00-0.740805762E+00-0.741394038E+00-0.741984801E+00-0.742578051E+00 --0.743173787E+00-0.743772010E+00-0.744372719E+00-0.744975916E+00-0.745581599E+00 --0.746189769E+00-0.746800425E+00-0.747440245E+00-0.748080793E+00-0.748721129E+00 --0.749361254E+00-0.750001168E+00-0.750640869E+00-0.751280359E+00-0.751919637E+00 --0.752558704E+00-0.753197559E+00-0.753836202E+00-0.754474634E+00-0.755116184E+00 --0.755774477E+00-0.756439998E+00-0.757112746E+00-0.757792722E+00-0.758479925E+00 --0.759174355E+00-0.759876014E+00-0.760581469E+00-0.761261532E+00-0.761968923E+00 --0.762703643E+00-0.763465691E+00-0.764255068E+00-0.765070516E+00-0.765899131E+00 --0.766742171E+00-0.767599637E+00-0.768471529E+00-0.769357847E+00-0.770258591E+00 --0.771173761E+00-0.772103357E+00-0.773047379E+00-0.774019847E+00-0.775039658E+00 --0.776071990E+00-0.777116843E+00-0.778174217E+00-0.779244112E+00-0.780333222E+00 --0.781450284E+00-0.782595288E+00-0.783768234E+00-0.784969122E+00-0.786197952E+00 --0.787454724E+00-0.788739438E+00-0.790052093E+00-0.791392691E+00-0.792761231E+00 --0.794144812E+00-0.795532530E+00-0.796931868E+00-0.798342827E+00-0.799765406E+00 --0.801213531E+00-0.802700958E+00-0.804215155E+00-0.805756122E+00-0.807323859E+00 --0.924688186E+00-0.922907132E+00-0.921174286E+00-0.919489646E+00-0.917853215E+00 --0.916264990E+00-0.914724973E+00-0.913233163E+00-0.911789561E+00-0.910394166E+00 --0.909046978E+00-0.907747997E+00-0.906497224E+00-0.905294658E+00-0.904140299E+00 --0.903034148E+00-0.901976204E+00-0.900966467E+00-0.900004938E+00-0.899082765E+00 --0.898105729E+00-0.897092121E+00-0.896041940E+00-0.894955186E+00-0.893831860E+00 --0.892671961E+00-0.891477786E+00-0.890314175E+00-0.889140188E+00-0.887955825E+00 --0.886761086E+00-0.885555970E+00-0.884340477E+00-0.883114608E+00-0.881878363E+00 --0.880631742E+00-0.879374744E+00-0.878107370E+00-0.876829619E+00-0.875480158E+00 --0.874073273E+00-0.872612088E+00-0.871096603E+00-0.869526816E+00-0.867972395E+00 --0.866518550E+00-0.864997750E+00-0.863409995E+00-0.861755286E+00-0.860033621E+00 --0.858238584E+00-0.856427921E+00-0.854615593E+00-0.852801599E+00-0.850985938E+00 --0.849168612E+00-0.847349619E+00-0.845528960E+00-0.843706635E+00-0.841882644E+00 --0.840056987E+00-0.838229663E+00-0.836400674E+00-0.834570018E+00-0.832737696E+00 --0.830903708E+00-0.829068054E+00-0.827237001E+00-0.825451140E+00-0.823702582E+00 --0.821991327E+00-0.820317373E+00-0.818649582E+00-0.816927654E+00-0.815223331E+00 --0.813536615E+00-0.811867504E+00-0.810216639E+00-0.808580350E+00-0.806962633E+00 --0.805371235E+00-0.803799177E+00-0.802246460E+00-0.800713269E+00-0.799201150E+00 --0.797708644E+00-0.796234803E+00-0.794780783E+00-0.793346364E+00-0.791931545E+00 --0.790536326E+00-0.789160069E+00-0.787802960E+00-0.786464997E+00-0.785146179E+00 --0.783846524E+00-0.782566324E+00-0.781304116E+00-0.780059901E+00-0.778834728E+00 --0.777628619E+00-0.776438853E+00-0.775268367E+00-0.774115181E+00-0.772979294E+00 --0.771860706E+00-0.770759071E+00-0.769675744E+00-0.768608836E+00-0.767558349E+00 --0.766524151E+00-0.765507466E+00-0.764506252E+00-0.763521272E+00-0.762552526E+00 --0.761600015E+00-0.760662113E+00-0.759739771E+00-0.758833645E+00-0.757942052E+00 --0.757064991E+00-0.756202172E+00-0.755354541E+00-0.754521345E+00-0.753702258E+00 --0.752897279E+00-0.752106410E+00-0.751329505E+00-0.750565732E+00-0.749814957E+00 --0.749077180E+00-0.748352402E+00-0.747641209E+00-0.746942385E+00-0.746255525E+00 --0.745580729E+00-0.744917998E+00-0.744267331E+00-0.743628729E+00-0.743000987E+00 --0.742385009E+00-0.741779801E+00-0.741185612E+00-0.740602277E+00-0.740028326E+00 --0.739465947E+00-0.738913396E+00-0.738370226E+00-0.737836439E+00-0.737312033E+00 --0.736797009E+00-0.736291366E+00-0.735793890E+00-0.735303500E+00-0.734820198E+00 --0.734343764E+00-0.733872675E+00-0.733411182E+00-0.732958787E+00-0.732517588E+00 --0.732095400E+00-0.731697298E+00-0.731320520E+00-0.730962964E+00-0.730624628E+00 --0.730305513E+00-0.730005618E+00-0.729724945E+00-0.729463493E+00-0.729221261E+00 --0.728997880E+00-0.728790069E+00-0.728603344E+00-0.728434547E+00-0.728283091E+00 --0.728148973E+00-0.728032993E+00-0.727935178E+00-0.727855425E+00-0.727791674E+00 --0.727743288E+00-0.727714759E+00-0.727703698E+00-0.727709363E+00-0.727731695E+00 --0.727770567E+00-0.727826309E+00-0.727898920E+00-0.727988401E+00-0.728094750E+00 --0.728217968E+00-0.728358055E+00-0.728515011E+00-0.728688836E+00-0.728878937E+00 --0.729085226E+00-0.729308219E+00-0.729547918E+00-0.729804322E+00-0.730077432E+00 --0.730367246E+00-0.730672109E+00-0.730993325E+00-0.731333784E+00-0.731688937E+00 --0.732061062E+00-0.732450755E+00-0.732858016E+00-0.733282846E+00-0.733725243E+00 --0.734185208E+00-0.734662741E+00-0.735157842E+00-0.735671520E+00-0.736203011E+00 --0.736750895E+00-0.737304706E+00-0.737861307E+00-0.738420699E+00-0.738982881E+00 --0.739546776E+00-0.740112047E+00-0.740679805E+00-0.741250049E+00-0.741822780E+00 --0.742397998E+00-0.742975702E+00-0.743555893E+00-0.744138571E+00-0.744723736E+00 --0.745311387E+00-0.745901525E+00-0.746494150E+00-0.747089261E+00-0.747686859E+00 --0.748286944E+00-0.748911240E+00-0.749538426E+00-0.750165400E+00-0.750792163E+00 --0.751418713E+00-0.752045052E+00-0.752671180E+00-0.753297095E+00-0.753922799E+00 --0.754548292E+00-0.755173572E+00-0.755798642E+00-0.756423499E+00-0.757048145E+00 --0.757672579E+00-0.758302190E+00-0.758959235E+00-0.759623507E+00-0.760295006E+00 --0.760973733E+00-0.761659688E+00-0.762352870E+00-0.763028289E+00-0.763708059E+00 --0.764415157E+00-0.765149584E+00-0.765911339E+00-0.766700423E+00-0.767516836E+00 --0.768360577E+00-0.769215089E+00-0.770079388E+00-0.770958114E+00-0.771851265E+00 --0.772758843E+00-0.773680846E+00-0.774617275E+00-0.775568131E+00-0.776571809E+00 --0.777604929E+00-0.778650571E+00-0.779708734E+00-0.780781523E+00-0.781882073E+00 --0.783010566E+00-0.784167000E+00-0.785351376E+00-0.786563694E+00-0.787803954E+00 --0.789072156E+00-0.790368300E+00-0.791692386E+00-0.793044414E+00-0.794424384E+00 --0.795831594E+00-0.797235670E+00-0.798651365E+00-0.800078681E+00-0.801517617E+00 --0.803009694E+00-0.804532324E+00-0.806081723E+00-0.807657893E+00-0.809260832E+00 --0.931215628E+00-0.929492388E+00-0.927810888E+00-0.926177595E+00-0.924592509E+00 --0.923055631E+00-0.921566960E+00-0.920126496E+00-0.918734240E+00-0.917390191E+00 --0.916094349E+00-0.914846715E+00-0.913647287E+00-0.912496068E+00-0.911393055E+00 --0.910338250E+00-0.909331652E+00-0.908373261E+00-0.907463078E+00-0.906580743E+00 --0.905665535E+00-0.904713753E+00-0.903725399E+00-0.902700472E+00-0.901638972E+00 --0.900540900E+00-0.899406255E+00-0.898233744E+00-0.897043964E+00-0.895843808E+00 --0.894633275E+00-0.893412366E+00-0.892181081E+00-0.890939419E+00-0.889687381E+00 --0.888424966E+00-0.887152176E+00-0.885867713E+00-0.884541485E+00-0.883160956E+00 --0.881726127E+00-0.880236997E+00-0.878693566E+00-0.877095835E+00-0.875522013E+00 --0.873983507E+00-0.872378046E+00-0.870705630E+00-0.868966259E+00-0.867159934E+00 --0.865286654E+00-0.863373651E+00-0.861463449E+00-0.859551581E+00-0.857638047E+00 --0.855722847E+00-0.853805980E+00-0.851887448E+00-0.849967250E+00-0.848045385E+00 --0.846121854E+00-0.844196657E+00-0.842269794E+00-0.840341265E+00-0.838411069E+00 --0.836479208E+00-0.834527623E+00-0.832604541E+00-0.830718761E+00-0.828870284E+00 --0.827059109E+00-0.825285236E+00-0.823548665E+00-0.821790760E+00-0.820015843E+00 --0.818258532E+00-0.816518828E+00-0.814796730E+00-0.813092237E+00-0.811414438E+00 --0.809761816E+00-0.808130751E+00-0.806521303E+00-0.804933016E+00-0.803365891E+00 --0.801820187E+00-0.800296294E+00-0.798792880E+00-0.797309177E+00-0.795845712E+00 --0.794405173E+00-0.792986609E+00-0.791587089E+00-0.790207077E+00-0.788846575E+00 --0.787505778E+00-0.786187278E+00-0.784887912E+00-0.783607418E+00-0.782345795E+00 --0.781102456E+00-0.779879170E+00-0.778676164E+00-0.777490975E+00-0.776323086E+00 --0.775172889E+00-0.774041871E+00-0.772930104E+00-0.771835549E+00-0.770757415E+00 --0.769695620E+00-0.768651079E+00-0.767624570E+00-0.766615364E+00-0.765622392E+00 --0.764645655E+00-0.763685021E+00-0.762740509E+00-0.761812179E+00-0.760899131E+00 --0.760000614E+00-0.759118039E+00-0.758250630E+00-0.757398293E+00-0.756560921E+00 --0.755737376E+00-0.754927939E+00-0.754134040E+00-0.753353593E+00-0.752586490E+00 --0.751833629E+00-0.751094870E+00-0.750367939E+00-0.749653961E+00-0.748952933E+00 --0.748265084E+00-0.747589552E+00-0.746925817E+00-0.746274194E+00-0.745635005E+00 --0.745008250E+00-0.744393088E+00-0.743788617E+00-0.743194853E+00-0.742611903E+00 --0.742039832E+00-0.741478577E+00-0.740927943E+00-0.740386742E+00-0.739854922E+00 --0.739332485E+00-0.738821015E+00-0.738317651E+00-0.737820362E+00-0.737328573E+00 --0.736846379E+00-0.736373781E+00-0.735910778E+00-0.735457046E+00-0.735015776E+00 --0.734593517E+00-0.734190270E+00-0.733806035E+00-0.733445087E+00-0.733103725E+00 --0.732781583E+00-0.732478662E+00-0.732194963E+00-0.731930484E+00-0.731682782E+00 --0.731454467E+00-0.731245674E+00-0.731056823E+00-0.730885889E+00-0.730732294E+00 --0.730596038E+00-0.730477122E+00-0.730375546E+00-0.730291308E+00-0.730223787E+00 --0.730172592E+00-0.730142087E+00-0.730126792E+00-0.730128367E+00-0.730146810E+00 --0.730182123E+00-0.730234305E+00-0.730303355E+00-0.730389275E+00-0.730492064E+00 --0.730611722E+00-0.730748249E+00-0.730901644E+00-0.731071909E+00-0.731257918E+00 --0.731459613E+00-0.731678013E+00-0.731913118E+00-0.732164929E+00-0.732432722E+00 --0.732716249E+00-0.733016114E+00-0.733333260E+00-0.733668034E+00-0.734019193E+00 --0.734386615E+00-0.734769530E+00-0.735170013E+00-0.735588065E+00-0.736023684E+00 --0.736476871E+00-0.736948028E+00-0.737437044E+00-0.737942967E+00-0.738465795E+00 --0.739004950E+00-0.739549671E+00-0.740097183E+00-0.740647485E+00-0.741200578E+00 --0.741756461E+00-0.742315135E+00-0.742876600E+00-0.743440812E+00-0.744005458E+00 --0.744572591E+00-0.745142210E+00-0.745714317E+00-0.746288909E+00-0.746865989E+00 --0.747445556E+00-0.748027609E+00-0.748612148E+00-0.749199175E+00-0.749788688E+00 --0.750397965E+00-0.751011789E+00-0.751625400E+00-0.752238800E+00-0.752851988E+00 --0.753464965E+00-0.754077729E+00-0.754690283E+00-0.755302624E+00-0.755914754E+00 --0.756526672E+00-0.757138379E+00-0.757749873E+00-0.758361157E+00-0.758972228E+00 --0.759583088E+00-0.760193736E+00-0.760804173E+00-0.761421263E+00-0.762077059E+00 --0.762740082E+00-0.763410333E+00-0.764087811E+00-0.764768913E+00-0.765421061E+00 --0.766100538E+00-0.766807344E+00-0.767541478E+00-0.768302940E+00-0.769091731E+00 --0.769907851E+00-0.770751299E+00-0.771622075E+00-0.772511288E+00-0.773396846E+00 --0.774296831E+00-0.775211242E+00-0.776140078E+00-0.777083341E+00-0.778047592E+00 --0.779081501E+00-0.780127931E+00-0.781186883E+00-0.782268813E+00-0.783380794E+00 --0.784520716E+00-0.785688581E+00-0.786884387E+00-0.788108136E+00-0.789359826E+00 --0.790639458E+00-0.791947032E+00-0.793282548E+00-0.794646006E+00-0.796037406E+00 --0.797456748E+00-0.798887853E+00-0.800319906E+00-0.801763579E+00-0.803237641E+00 --0.804768704E+00-0.806326537E+00-0.807911139E+00-0.809522511E+00-0.811160653E+00 --0.937565358E+00-0.935909159E+00-0.934320619E+00-0.932799740E+00-0.931279643E+00 --0.929794111E+00-0.928356786E+00-0.926967669E+00-0.925626758E+00-0.924334055E+00 --0.923089560E+00-0.921893271E+00-0.920745190E+00-0.919645316E+00-0.918593650E+00 --0.917590191E+00-0.916634939E+00-0.915727894E+00-0.914873760E+00-0.914056950E+00 --0.913203568E+00-0.912313613E+00-0.911387086E+00-0.910423986E+00-0.909424313E+00 --0.908388067E+00-0.907315249E+00-0.906201021E+00-0.904995449E+00-0.903779499E+00 --0.902553174E+00-0.901316472E+00-0.900069393E+00-0.898811939E+00-0.897544108E+00 --0.896265900E+00-0.894998248E+00-0.893698376E+00-0.892344203E+00-0.890935730E+00 --0.889472956E+00-0.887955881E+00-0.886384506E+00-0.884758830E+00-0.883149679E+00 --0.881526512E+00-0.879836389E+00-0.878079313E+00-0.876255281E+00-0.874364295E+00 --0.872406354E+00-0.870381458E+00-0.868344649E+00-0.866334907E+00-0.864323500E+00 --0.862310426E+00-0.860295686E+00-0.858279280E+00-0.856261208E+00-0.854241470E+00 --0.852220066E+00-0.850196995E+00-0.848172259E+00-0.846145856E+00-0.844082658E+00 --0.841985052E+00-0.839924748E+00-0.837901746E+00-0.835916047E+00-0.833967650E+00 --0.832056555E+00-0.830182763E+00-0.828346273E+00-0.826547085E+00-0.824707254E+00 --0.822879349E+00-0.821069050E+00-0.819276357E+00-0.817510720E+00-0.815772473E+00 --0.814060615E+00-0.812375145E+00-0.810711402E+00-0.809068320E+00-0.807446471E+00 --0.805846614E+00-0.804271856E+00-0.802718225E+00-0.801186086E+00-0.799677235E+00 --0.798191675E+00-0.796729373E+00-0.795288012E+00-0.793866160E+00-0.792464566E+00 --0.791085531E+00-0.789729200E+00-0.788393191E+00-0.787076053E+00-0.785778578E+00 --0.784502078E+00-0.783246168E+00-0.782010848E+00-0.780794015E+00-0.779595117E+00 --0.778416004E+00-0.777256209E+00-0.776115733E+00-0.774993678E+00-0.773888003E+00 --0.772800825E+00-0.771731653E+00-0.770680485E+00-0.769647322E+00-0.768631150E+00 --0.767630187E+00-0.766647182E+00-0.765681017E+00-0.764731034E+00-0.763797234E+00 --0.762879279E+00-0.761977795E+00-0.761091382E+00-0.760220121E+00-0.759364132E+00 --0.758523390E+00-0.757697781E+00-0.756886245E+00-0.756089710E+00-0.755307458E+00 --0.754539488E+00-0.753785811E+00-0.753045468E+00-0.752318076E+00-0.751603636E+00 --0.750902364E+00-0.750215408E+00-0.749540534E+00-0.748877914E+00-0.748227546E+00 --0.747589610E+00-0.746964133E+00-0.746350460E+00-0.745747567E+00-0.745156768E+00 --0.744576803E+00-0.744007416E+00-0.743448840E+00-0.742901079E+00-0.742361893E+00 --0.741834102E+00-0.741315654E+00-0.740803164E+00-0.740300269E+00-0.739806971E+00 --0.739323268E+00-0.738849160E+00-0.738384649E+00-0.737929579E+00-0.737488238E+00 --0.737065909E+00-0.736662591E+00-0.736278285E+00-0.735912990E+00-0.735566976E+00 --0.735241808E+00-0.734935861E+00-0.734648235E+00-0.734379893E+00-0.734131073E+00 --0.733901776E+00-0.733692000E+00-0.733501390E+00-0.733328318E+00-0.733172585E+00 --0.733034191E+00-0.732913137E+00-0.732809423E+00-0.732722529E+00-0.732651696E+00 --0.732597615E+00-0.732560940E+00-0.732544775E+00-0.732544970E+00-0.732561526E+00 --0.732594442E+00-0.732643578E+00-0.732709069E+00-0.732791428E+00-0.732890657E+00 --0.733006754E+00-0.733139721E+00-0.733289556E+00-0.733456261E+00-0.733638176E+00 --0.733835278E+00-0.734049085E+00-0.734279547E+00-0.734526382E+00-0.734789556E+00 --0.735069066E+00-0.735364915E+00-0.735677419E+00-0.736006508E+00-0.736351982E+00 --0.736713841E+00-0.737092084E+00-0.737486514E+00-0.737897787E+00-0.738326697E+00 --0.738773238E+00-0.739236685E+00-0.739717038E+00-0.740214297E+00-0.740728462E+00 --0.741258889E+00-0.741794520E+00-0.742332942E+00-0.742874155E+00-0.743418158E+00 --0.743964952E+00-0.744514537E+00-0.745066912E+00-0.745622077E+00-0.746180033E+00 --0.746740780E+00-0.747304317E+00-0.747869308E+00-0.748435816E+00-0.749004811E+00 --0.749576292E+00-0.750150261E+00-0.750726715E+00-0.751305657E+00-0.751900419E+00 --0.752500880E+00-0.753101129E+00-0.753701166E+00-0.754300992E+00-0.754900606E+00 --0.755500008E+00-0.756099199E+00-0.756698178E+00-0.757296945E+00-0.757895501E+00 --0.758493845E+00-0.759091977E+00-0.759689898E+00-0.760287607E+00-0.760885104E+00 --0.761482390E+00-0.762079464E+00-0.762676326E+00-0.763272977E+00-0.763869416E+00 --0.764473401E+00-0.765127948E+00-0.765789723E+00-0.766458725E+00-0.767107931E+00 --0.767759787E+00-0.768438971E+00-0.769145483E+00-0.769879324E+00-0.770640494E+00 --0.771428991E+00-0.772244818E+00-0.773087973E+00-0.773958456E+00-0.774856268E+00 --0.775781409E+00-0.776694545E+00-0.777615789E+00-0.778551458E+00-0.779501554E+00 --0.780501704E+00-0.781548923E+00-0.782610504E+00-0.783705973E+00-0.784829383E+00 --0.785980736E+00-0.787160031E+00-0.788367268E+00-0.789602446E+00-0.790865567E+00 --0.792156629E+00-0.793475633E+00-0.794822580E+00-0.796197468E+00-0.797600298E+00 --0.799031070E+00-0.800489081E+00-0.801937491E+00-0.803397521E+00-0.804924297E+00 --0.806490562E+00-0.808083598E+00-0.809703403E+00-0.811349977E+00-0.813023322E+00 --0.943698930E+00-0.942098442E+00-0.940565613E+00-0.939100443E+00-0.937702933E+00 --0.936373083E+00-0.935094452E+00-0.933756680E+00-0.932467116E+00-0.931225759E+00 --0.930032609E+00-0.928887667E+00-0.927790932E+00-0.926742404E+00-0.925742084E+00 --0.924789971E+00-0.923886065E+00-0.923030366E+00-0.922266368E+00-0.921511385E+00 --0.920719830E+00-0.919891702E+00-0.919027001E+00-0.918125728E+00-0.917187881E+00 --0.916213462E+00-0.915202471E+00-0.914154906E+00-0.912994642E+00-0.911762900E+00 --0.910520781E+00-0.909268286E+00-0.908005415E+00-0.906732167E+00-0.905448543E+00 --0.904224348E+00-0.902950832E+00-0.901623015E+00-0.900240897E+00-0.898804479E+00 --0.897313760E+00-0.895768741E+00-0.894169421E+00-0.892515800E+00-0.890855392E+00 --0.889147564E+00-0.887372781E+00-0.885531043E+00-0.883622350E+00-0.881646703E+00 --0.879604101E+00-0.877494545E+00-0.875318033E+00-0.873151578E+00-0.871042297E+00 --0.868931350E+00-0.866818737E+00-0.864704457E+00-0.862588512E+00-0.860470900E+00 --0.858351622E+00-0.856230678E+00-0.854108068E+00-0.851844114E+00-0.849609286E+00 --0.847411760E+00-0.845251536E+00-0.843128615E+00-0.841042997E+00-0.838994680E+00 --0.836983666E+00-0.835009954E+00-0.833073545E+00-0.831174438E+00-0.829297563E+00 --0.827399064E+00-0.825518170E+00-0.823664223E+00-0.821839042E+00-0.820040250E+00 --0.818267846E+00-0.816521830E+00-0.814802203E+00-0.813108965E+00-0.811434460E+00 --0.809782918E+00-0.808157923E+00-0.806556553E+00-0.804979337E+00-0.803425487E+00 --0.801894905E+00-0.800387612E+00-0.798903850E+00-0.797441614E+00-0.796002126E+00 --0.794585356E+00-0.793191306E+00-0.791819394E+00-0.790466818E+00-0.789137104E+00 --0.787827980E+00-0.786539445E+00-0.785271633E+00-0.784024266E+00-0.782797194E+00 --0.781589795E+00-0.780401632E+00-0.779232703E+00-0.778083010E+00-0.776952382E+00 --0.775840853E+00-0.774747287E+00-0.773671684E+00-0.772614042E+00-0.771574364E+00 --0.770552647E+00-0.769547501E+00-0.768559632E+00-0.767588837E+00-0.766635116E+00 --0.765698471E+00-0.764778788E+00-0.763874592E+00-0.762985645E+00-0.762111956E+00 --0.761254349E+00-0.760412801E+00-0.759585094E+00-0.758773022E+00-0.757975661E+00 --0.757192581E+00-0.756425345E+00-0.755671589E+00-0.754930758E+00-0.754203709E+00 --0.753491211E+00-0.752793264E+00-0.752108446E+00-0.751435826E+00-0.750775459E+00 --0.750127345E+00-0.749491485E+00-0.748869042E+00-0.748258823E+00-0.747660491E+00 --0.747073493E+00-0.746497024E+00-0.745931085E+00-0.745376684E+00-0.744833082E+00 --0.744296660E+00-0.743772853E+00-0.743258854E+00-0.742754450E+00-0.742259642E+00 --0.741774430E+00-0.741298814E+00-0.740832793E+00-0.740376386E+00-0.739934975E+00 --0.739512574E+00-0.739109186E+00-0.738724809E+00-0.738359444E+00-0.738013090E+00 --0.737686246E+00-0.737378059E+00-0.737089213E+00-0.736819889E+00-0.736570087E+00 --0.736339806E+00-0.736129047E+00-0.735937046E+00-0.735761835E+00-0.735603964E+00 --0.735463433E+00-0.735340240E+00-0.735234735E+00-0.735146381E+00-0.735074778E+00 --0.735019925E+00-0.734981823E+00-0.734960473E+00-0.734958430E+00-0.734972887E+00 --0.735003704E+00-0.735050882E+00-0.735114421E+00-0.735194320E+00-0.735290579E+00 --0.735403199E+00-0.735532472E+00-0.735678747E+00-0.735841892E+00-0.736019714E+00 --0.736212585E+00-0.736422728E+00-0.736649210E+00-0.736892029E+00-0.737151186E+00 --0.737426681E+00-0.737718514E+00-0.738025800E+00-0.738349205E+00-0.738688994E+00 --0.739045168E+00-0.739417727E+00-0.739806671E+00-0.740211835E+00-0.740632563E+00 --0.741070441E+00-0.741525224E+00-0.741996914E+00-0.742485510E+00-0.742991012E+00 --0.743512710E+00-0.744039252E+00-0.744568585E+00-0.745100708E+00-0.745635622E+00 --0.746173326E+00-0.746713821E+00-0.747257106E+00-0.747803182E+00-0.748352049E+00 --0.748903706E+00-0.749458154E+00-0.750015392E+00-0.750575421E+00-0.751138240E+00 --0.751703598E+00-0.752269481E+00-0.752837851E+00-0.753418603E+00-0.754005701E+00 --0.754592587E+00-0.755179262E+00-0.755765725E+00-0.756351976E+00-0.756938016E+00 --0.757523844E+00-0.758109461E+00-0.758694866E+00-0.759280059E+00-0.759865040E+00 --0.760449810E+00-0.761034368E+00-0.761618715E+00-0.762202849E+00-0.762786772E+00 --0.763370484E+00-0.763953984E+00-0.764537272E+00-0.765120348E+00-0.765703213E+00 --0.766285866E+00-0.766868308E+00-0.767458606E+00-0.768111904E+00-0.768768668E+00 --0.769392902E+00-0.770044464E+00-0.770723355E+00-0.771429575E+00-0.772163123E+00 --0.772923999E+00-0.773712204E+00-0.774527738E+00-0.775370600E+00-0.776240790E+00 --0.777138309E+00-0.778063157E+00-0.779015333E+00-0.779972483E+00-0.780914986E+00 --0.781871915E+00-0.782913547E+00-0.783986102E+00-0.785093001E+00-0.786227842E+00 --0.787390625E+00-0.788581350E+00-0.789800017E+00-0.791046626E+00-0.792321177E+00 --0.793623669E+00-0.794954104E+00-0.796312480E+00-0.797698799E+00-0.799113059E+00 --0.800555262E+00-0.802025406E+00-0.803504119E+00-0.804999102E+00-0.806573800E+00 --0.808175268E+00-0.809803506E+00-0.811458514E+00-0.813140291E+00-0.814848839E+00 --0.949616345E+00-0.948071567E+00-0.946594448E+00-0.945184989E+00-0.943843190E+00 --0.942569050E+00-0.941362569E+00-0.940223749E+00-0.939152588E+00-0.938065302E+00 --0.936923498E+00-0.935829902E+00-0.934784513E+00-0.933787331E+00-0.932838357E+00 --0.931937590E+00-0.931085030E+00-0.930293788E+00-0.929637205E+00-0.928944049E+00 --0.928214320E+00-0.927448019E+00-0.926645144E+00-0.925805698E+00-0.924929678E+00 --0.924017086E+00-0.923067921E+00-0.922082183E+00-0.921041545E+00-0.919794010E+00 --0.918536098E+00-0.917267810E+00-0.915989146E+00-0.914738873E+00-0.913546013E+00 --0.912298852E+00-0.910997391E+00-0.909641629E+00-0.908231567E+00-0.906767204E+00 --0.905248540E+00-0.903675576E+00-0.902048311E+00-0.900366746E+00-0.898639153E+00 --0.896846664E+00-0.894987220E+00-0.893060821E+00-0.891067467E+00-0.889007159E+00 --0.886879896E+00-0.884685678E+00-0.882424506E+00-0.880096379E+00-0.877794439E+00 --0.875585618E+00-0.873375131E+00-0.871162978E+00-0.868949159E+00-0.866733674E+00 --0.864516523E+00-0.862181728E+00-0.859772376E+00-0.857400326E+00-0.855065578E+00 --0.852768133E+00-0.850507990E+00-0.848285149E+00-0.846099611E+00-0.843951375E+00 --0.841840441E+00-0.839766810E+00-0.837730481E+00-0.835731455E+00-0.833769730E+00 --0.831817677E+00-0.829874947E+00-0.827962831E+00-0.826077105E+00-0.824217767E+00 --0.822384817E+00-0.820578304E+00-0.818798935E+00-0.817046652E+00-0.815321770E+00 --0.813623792E+00-0.811950654E+00-0.810303201E+00-0.808679900E+00-0.807080753E+00 --0.805506736E+00-0.803958811E+00-0.802433404E+00-0.800933932E+00-0.799457338E+00 --0.798003508E+00-0.796572439E+00-0.795163919E+00-0.793778150E+00-0.792414676E+00 --0.791073654E+00-0.789753974E+00-0.788455637E+00-0.787178047E+00-0.785921774E+00 --0.784687349E+00-0.783472502E+00-0.782276889E+00-0.781100610E+00-0.779944506E+00 --0.778808897E+00-0.777692800E+00-0.776594666E+00-0.775514494E+00-0.774452198E+00 --0.773408628E+00-0.772383216E+00-0.771374860E+00-0.770385767E+00-0.769413397E+00 --0.768457752E+00-0.767519035E+00-0.766597035E+00-0.765690597E+00-0.764800655E+00 --0.763927304E+00-0.763070313E+00-0.762228680E+00-0.761402485E+00-0.760591098E+00 --0.759793590E+00-0.759013415E+00-0.758246109E+00-0.757493355E+00-0.756755151E+00 --0.756031499E+00-0.755322397E+00-0.754627376E+00-0.753944756E+00-0.753274605E+00 --0.752617760E+00-0.751974293E+00-0.751344204E+00-0.750726777E+00-0.750121781E+00 --0.749528468E+00-0.748946218E+00-0.748374636E+00-0.747814757E+00-0.747267559E+00 --0.746731488E+00-0.746204168E+00-0.745688572E+00-0.745182905E+00-0.744686589E+00 --0.744199867E+00-0.743722742E+00-0.743255212E+00-0.742797467E+00-0.742355985E+00 --0.741933514E+00-0.741530055E+00-0.741145607E+00-0.740782172E+00-0.740439719E+00 --0.740115323E+00-0.739808983E+00-0.739520700E+00-0.739250607E+00-0.738999822E+00 --0.738768559E+00-0.738556817E+00-0.738363789E+00-0.738186441E+00-0.738026432E+00 --0.737883762E+00-0.737760408E+00-0.737654532E+00-0.737565406E+00-0.737493031E+00 --0.737437408E+00-0.737398535E+00-0.737376413E+00-0.737371042E+00-0.737383132E+00 --0.737411850E+00-0.737456929E+00-0.737518368E+00-0.737596168E+00-0.737690329E+00 --0.737800850E+00-0.737927732E+00-0.738070974E+00-0.738230332E+00-0.738405047E+00 --0.738595076E+00-0.738801204E+00-0.739023669E+00-0.739262473E+00-0.739517614E+00 --0.739789092E+00-0.740076909E+00-0.740378404E+00-0.740696124E+00-0.741030229E+00 --0.741380719E+00-0.741748993E+00-0.742132422E+00-0.742530107E+00-0.742942047E+00 --0.743368243E+00-0.743813647E+00-0.744276673E+00-0.744756606E+00-0.745253445E+00 --0.745766415E+00-0.746283867E+00-0.746804110E+00-0.747327144E+00-0.747852968E+00 --0.748381583E+00-0.748912988E+00-0.749447184E+00-0.749984171E+00-0.750523948E+00 --0.751066515E+00-0.751611874E+00-0.752160022E+00-0.752710962E+00-0.753264692E+00 --0.753823361E+00-0.754386719E+00-0.754942276E+00-0.755518758E+00-0.756094737E+00 --0.756670212E+00-0.757245183E+00-0.757819652E+00-0.758393617E+00-0.758967078E+00 --0.759540036E+00-0.760112491E+00-0.760684442E+00-0.761255890E+00-0.761826834E+00 --0.762397275E+00-0.762967213E+00-0.763536647E+00-0.764106884E+00-0.764677233E+00 --0.765247370E+00-0.765817296E+00-0.766387010E+00-0.766956512E+00-0.767525803E+00 --0.768094882E+00-0.768663749E+00-0.769232405E+00-0.769800849E+00-0.770376876E+00 --0.770999884E+00-0.771623825E+00-0.772275095E+00-0.772953693E+00-0.773659619E+00 --0.774392874E+00-0.775153458E+00-0.775941370E+00-0.776756610E+00-0.777599179E+00 --0.778469077E+00-0.779366303E+00-0.780290857E+00-0.781242740E+00-0.782221952E+00 --0.783228492E+00-0.784221803E+00-0.785311570E+00-0.786429900E+00-0.787576171E+00 --0.788750384E+00-0.789952539E+00-0.791182636E+00-0.792440675E+00-0.793726656E+00 --0.795040579E+00-0.796382444E+00-0.797752250E+00-0.799149999E+00-0.800575690E+00 --0.802029322E+00-0.803510897E+00-0.805019791E+00-0.806576250E+00-0.808186151E+00 --0.809822822E+00-0.811486262E+00-0.813176473E+00-0.814893453E+00-0.816637203E+00 --0.955317603E+00-0.953828535E+00-0.952407126E+00-0.951053378E+00-0.949767288E+00 --0.948548859E+00-0.947398089E+00-0.946314979E+00-0.945299528E+00-0.944351737E+00 --0.943471606E+00-0.942659135E+00-0.941725933E+00-0.940780098E+00-0.939882469E+00 --0.939033048E+00-0.938231835E+00-0.937581026E+00-0.936986269E+00-0.936354940E+00 --0.935687038E+00-0.934982563E+00-0.934241516E+00-0.933463896E+00-0.932649703E+00 --0.931798937E+00-0.930911599E+00-0.929987688E+00-0.929027204E+00-0.927872828E+00 --0.926599124E+00-0.925315043E+00-0.924129746E+00-0.922963242E+00-0.921742437E+00 --0.920467332E+00-0.919137926E+00-0.917754219E+00-0.916316212E+00-0.914823904E+00 --0.913277296E+00-0.911676387E+00-0.910021177E+00-0.908311158E+00-0.906500962E+00 --0.904623811E+00-0.902679706E+00-0.900668646E+00-0.898590632E+00-0.896445662E+00 --0.894233738E+00-0.891954860E+00-0.889609027E+00-0.887196239E+00-0.884716496E+00 --0.882273231E+00-0.879964871E+00-0.877654844E+00-0.875343151E+00-0.872997894E+00 --0.870414017E+00-0.867867443E+00-0.865358171E+00-0.862886202E+00-0.860451534E+00 --0.858054170E+00-0.855694107E+00-0.853371347E+00-0.851085889E+00-0.848837734E+00 --0.846626881E+00-0.844453330E+00-0.842317845E+00-0.840222877E+00-0.838168591E+00 --0.836140417E+00-0.834129374E+00-0.832155650E+00-0.830209011E+00-0.828289458E+00 --0.826396991E+00-0.824531609E+00-0.822693312E+00-0.820886724E+00-0.819111260E+00 --0.817364477E+00-0.815643157E+00-0.813949214E+00-0.812282018E+00-0.810640533E+00 --0.809024760E+00-0.807434780E+00-0.805870681E+00-0.804332444E+00-0.802819578E+00 --0.801329714E+00-0.799862727E+00-0.798420320E+00-0.797003050E+00-0.795609263E+00 --0.794237284E+00-0.792887135E+00-0.791558701E+00-0.790252758E+00-0.788968924E+00 --0.787707026E+00-0.786465829E+00-0.785244266E+00-0.784044100E+00-0.782864260E+00 --0.781704747E+00-0.780565560E+00-0.779445024E+00-0.778342466E+00-0.777259408E+00 --0.776196152E+00-0.775152521E+00-0.774126188E+00-0.773117771E+00-0.772127585E+00 --0.771154331E+00-0.770197800E+00-0.769258621E+00-0.768336747E+00-0.767431383E+00 --0.766542287E+00-0.765670319E+00-0.764814758E+00-0.763974636E+00-0.763150353E+00 --0.762341378E+00-0.761548527E+00-0.760770227E+00-0.760006477E+00-0.759257279E+00 --0.758522632E+00-0.757802593E+00-0.757096520E+00-0.756404794E+00-0.755727079E+00 --0.755062742E+00-0.754411783E+00-0.753774202E+00-0.753149488E+00-0.752538331E+00 --0.751938817E+00-0.751350669E+00-0.750775201E+00-0.750212415E+00-0.749662310E+00 --0.749124886E+00-0.748597407E+00-0.748081637E+00-0.747577591E+00-0.747085271E+00 --0.746599578E+00-0.746120944E+00-0.745651905E+00-0.745192823E+00-0.744751269E+00 --0.744328728E+00-0.743927026E+00-0.743550466E+00-0.743191962E+00-0.742851515E+00 --0.742529124E+00-0.742224790E+00-0.741938512E+00-0.741670290E+00-0.741420125E+00 --0.741188033E+00-0.740975309E+00-0.740781621E+00-0.740602134E+00-0.740439987E+00 --0.740299546E+00-0.740176148E+00-0.740069500E+00-0.739979603E+00-0.739906458E+00 --0.739850063E+00-0.739810419E+00-0.739787525E+00-0.739781383E+00-0.739791991E+00 --0.739818879E+00-0.739861859E+00-0.739921199E+00-0.739996900E+00-0.740088962E+00 --0.740197384E+00-0.740322887E+00-0.740464197E+00-0.740620984E+00-0.740793249E+00 --0.740980991E+00-0.741184211E+00-0.741402926E+00-0.741637713E+00-0.741888838E+00 --0.742156301E+00-0.742439580E+00-0.742735231E+00-0.743047267E+00-0.743377718E+00 --0.743725086E+00-0.744086710E+00-0.744462590E+00-0.744852725E+00-0.745257115E+00 --0.745675762E+00-0.746108664E+00-0.746556316E+00-0.747027586E+00-0.747515761E+00 --0.748020002E+00-0.748528365E+00-0.749039519E+00-0.749553463E+00-0.750070198E+00 --0.750589723E+00-0.751112039E+00-0.751637145E+00-0.752165042E+00-0.752695905E+00 --0.753231253E+00-0.753769525E+00-0.754310721E+00-0.754854841E+00-0.755401777E+00 --0.755942409E+00-0.756488245E+00-0.757039284E+00-0.757605360E+00-0.758172784E+00 --0.758739704E+00-0.759306121E+00-0.759872034E+00-0.760437444E+00-0.761002351E+00 --0.761566754E+00-0.762130654E+00-0.762694050E+00-0.763256943E+00-0.763819332E+00 --0.764381218E+00-0.764942601E+00-0.765503480E+00-0.766063856E+00-0.766623728E+00 --0.767183097E+00-0.767741963E+00-0.768300325E+00-0.768858183E+00-0.769415539E+00 --0.769972390E+00-0.770528739E+00-0.771084584E+00-0.771622883E+00-0.772100947E+00 --0.772577806E+00-0.773108098E+00-0.773738838E+00-0.774396906E+00-0.775082303E+00 --0.775795028E+00-0.776535082E+00-0.777302464E+00-0.778097174E+00-0.778919213E+00 --0.779768581E+00-0.780645277E+00-0.781549302E+00-0.782480655E+00-0.783439336E+00 --0.784432855E+00-0.785481143E+00-0.786562915E+00-0.787675089E+00-0.788829742E+00 --0.790015574E+00-0.791229348E+00-0.792471065E+00-0.793740723E+00-0.795038323E+00 --0.796363865E+00-0.797717350E+00-0.799098775E+00-0.800508143E+00-0.801945453E+00 --0.803413616E+00-0.804927989E+00-0.806477176E+00-0.808053476E+00-0.809674457E+00 --0.811351341E+00-0.813054995E+00-0.814785418E+00-0.816542611E+00-0.818326574E+00 --0.960802703E+00-0.959369345E+00-0.958003647E+00-0.956705609E+00-0.955475230E+00 --0.954312511E+00-0.953217451E+00-0.952190052E+00-0.951230311E+00-0.950338231E+00 --0.949513810E+00-0.948757049E+00-0.948067947E+00-0.947446505E+00-0.946874421E+00 --0.946076346E+00-0.945342849E+00-0.944846492E+00-0.944313562E+00-0.943744060E+00 --0.943137985E+00-0.942495337E+00-0.941816116E+00-0.941100322E+00-0.940347956E+00 --0.939559017E+00-0.938733506E+00-0.937871421E+00-0.936972764E+00-0.935999356E+00 --0.934709858E+00-0.933616184E+00-0.932476036E+00-0.931281587E+00-0.930032837E+00 --0.928729787E+00-0.927372436E+00-0.925960785E+00-0.924494833E+00-0.922974580E+00 --0.921400027E+00-0.919771173E+00-0.918088019E+00-0.916335675E+00-0.914440818E+00 --0.912479006E+00-0.910450240E+00-0.908354519E+00-0.906191844E+00-0.903962213E+00 --0.901665628E+00-0.899302089E+00-0.896871595E+00-0.894374146E+00-0.891809742E+00 --0.889178384E+00-0.886587954E+00-0.884180054E+00-0.881534210E+00-0.878813112E+00 --0.876129316E+00-0.873482822E+00-0.870873631E+00-0.868285161E+00-0.865734472E+00 --0.863224466E+00-0.860755142E+00-0.858326502E+00-0.855938543E+00-0.853591268E+00 --0.851284675E+00-0.849018764E+00-0.846793537E+00-0.844608992E+00-0.842464836E+00 --0.840349331E+00-0.838269278E+00-0.836224675E+00-0.834215551E+00-0.832237070E+00 --0.830285675E+00-0.828365620E+00-0.826477731E+00-0.824620452E+00-0.822794757E+00 --0.820999110E+00-0.819232085E+00-0.817493352E+00-0.815782062E+00-0.814098215E+00 --0.812442902E+00-0.810815105E+00-0.809213303E+00-0.807637494E+00-0.806087678E+00 --0.804563124E+00-0.803063355E+00-0.801588652E+00-0.800139088E+00-0.798714540E+00 --0.797312693E+00-0.795932950E+00-0.794577369E+00-0.793245964E+00-0.791936325E+00 --0.790648047E+00-0.789380895E+00-0.788135144E+00-0.786912085E+00-0.785709516E+00 --0.784527438E+00-0.783365850E+00-0.782223872E+00-0.781101053E+00-0.779998309E+00 --0.778915366E+00-0.777852226E+00-0.776808511E+00-0.775782815E+00-0.774775034E+00 --0.773784708E+00-0.772811189E+00-0.771857218E+00-0.770920246E+00-0.770000273E+00 --0.769097812E+00-0.768211651E+00-0.767342293E+00-0.766489333E+00-0.765652761E+00 --0.764831671E+00-0.764026534E+00-0.763237611E+00-0.762463275E+00-0.761703590E+00 --0.760959327E+00-0.760230598E+00-0.759516282E+00-0.758816147E+00-0.758130388E+00 --0.757459003E+00-0.756801335E+00-0.756157045E+00-0.755526364E+00-0.754909252E+00 --0.754305295E+00-0.753714395E+00-0.753136040E+00-0.752570346E+00-0.752017334E+00 --0.751477002E+00-0.750949232E+00-0.750433287E+00-0.749929067E+00-0.749436571E+00 --0.748955801E+00-0.748486755E+00-0.748022872E+00-0.747562452E+00-0.747120828E+00 --0.746710139E+00-0.746317528E+00-0.745942974E+00-0.745586476E+00-0.745248034E+00 --0.744927649E+00-0.744625320E+00-0.744341048E+00-0.744074832E+00-0.743826672E+00 --0.743596569E+00-0.743384522E+00-0.743190338E+00-0.743009822E+00-0.742852150E+00 --0.742711230E+00-0.742587060E+00-0.742479641E+00-0.742388973E+00-0.742315056E+00 --0.742257890E+00-0.742217475E+00-0.742193810E+00-0.742186897E+00-0.742196734E+00 --0.742223322E+00-0.742265672E+00-0.742322913E+00-0.742396936E+00-0.742489363E+00 --0.742597269E+00-0.742720652E+00-0.742859512E+00-0.743013849E+00-0.743183664E+00 --0.743368957E+00-0.743569727E+00-0.743785974E+00-0.744017699E+00-0.744264902E+00 --0.744528306E+00-0.744806315E+00-0.745098009E+00-0.745409317E+00-0.745734880E+00 --0.746074698E+00-0.746428773E+00-0.746797103E+00-0.747179689E+00-0.747576530E+00 --0.747987627E+00-0.748412980E+00-0.748852588E+00-0.749306452E+00-0.749777960E+00 --0.750273473E+00-0.750772747E+00-0.751274811E+00-0.751779665E+00-0.752287083E+00 --0.752797283E+00-0.753310408E+00-0.753826457E+00-0.754345430E+00-0.754867327E+00 --0.755392149E+00-0.755919894E+00-0.756450437E+00-0.756977317E+00-0.757509400E+00 --0.758046687E+00-0.758589177E+00-0.759136871E+00-0.759693549E+00-0.760252418E+00 --0.760810783E+00-0.761368645E+00-0.761926003E+00-0.762482858E+00-0.763039210E+00 --0.763595058E+00-0.764150403E+00-0.764705244E+00-0.765259582E+00-0.765813417E+00 --0.766366748E+00-0.766919575E+00-0.767471900E+00-0.768023721E+00-0.768575038E+00 --0.769125852E+00-0.769676163E+00-0.770225970E+00-0.770775273E+00-0.771324074E+00 --0.771869559E+00-0.772356906E+00-0.772838560E+00-0.773314518E+00-0.773784783E+00 --0.774250861E+00-0.774745352E+00-0.775279751E+00-0.775882404E+00-0.776551051E+00 --0.777247027E+00-0.777970331E+00-0.778720964E+00-0.779498925E+00-0.780304215E+00 --0.781136833E+00-0.781996780E+00-0.782884055E+00-0.783799939E+00-0.784768156E+00 --0.785776665E+00-0.786825465E+00-0.787913748E+00-0.789032325E+00-0.790182669E+00 --0.791364781E+00-0.792578662E+00-0.793825710E+00-0.795107088E+00-0.796416408E+00 --0.797753671E+00-0.799118875E+00-0.800516509E+00-0.801949651E+00-0.803417606E+00 --0.804920375E+00-0.806457957E+00-0.808030352E+00-0.809635262E+00-0.811274701E+00 --0.812953009E+00-0.814670184E+00-0.816441476E+00-0.818241553E+00-0.820068400E+00 --0.966071645E+00-0.964693998E+00-0.963384010E+00-0.962141682E+00-0.960967014E+00 --0.959860005E+00-0.958820656E+00-0.957848967E+00-0.956957743E+00-0.956138881E+00 --0.955391398E+00-0.954715294E+00-0.954110571E+00-0.953577226E+00-0.953115262E+00 --0.952724677E+00-0.952465614E+00-0.952114659E+00-0.951654120E+00-0.951157008E+00 --0.950623323E+00-0.950053066E+00-0.949446236E+00-0.948802833E+00-0.948122857E+00 --0.947406309E+00-0.946653188E+00-0.945863494E+00-0.945037228E+00-0.944137579E+00 --0.943130826E+00-0.942029769E+00-0.940872107E+00-0.939660144E+00-0.938393881E+00 --0.937073317E+00-0.935698453E+00-0.934269288E+00-0.932785822E+00-0.931248056E+00 --0.929655989E+00-0.928009622E+00-0.926301807E+00-0.924469098E+00-0.922511302E+00 --0.920458594E+00-0.918338930E+00-0.916152312E+00-0.913898740E+00-0.911578213E+00 --0.909190731E+00-0.906736294E+00-0.904214903E+00-0.901626557E+00-0.898971256E+00 --0.896249001E+00-0.893352464E+00-0.890275289E+00-0.887282797E+00-0.884366164E+00 --0.881563169E+00-0.878800855E+00-0.876079225E+00-0.873398277E+00-0.870758012E+00 --0.868158429E+00-0.865599530E+00-0.863081312E+00-0.860603778E+00-0.858166926E+00 --0.855770756E+00-0.853415269E+00-0.851100465E+00-0.848826344E+00-0.846604027E+00 --0.844423240E+00-0.842277904E+00-0.840168020E+00-0.838093586E+00-0.836063350E+00 --0.834053740E+00-0.832083012E+00-0.830144657E+00-0.828238666E+00-0.826364983E+00 --0.824522891E+00-0.822710019E+00-0.820927590E+00-0.819175177E+00-0.817452779E+00 --0.815758839E+00-0.814091554E+00-0.812454217E+00-0.810842873E+00-0.809258998E+00 --0.807701583E+00-0.806169752E+00-0.804663504E+00-0.803183250E+00-0.801730764E+00 --0.800298552E+00-0.798891951E+00-0.797509915E+00-0.796152445E+00-0.794817840E+00 --0.793504590E+00-0.792213554E+00-0.790945322E+00-0.789699894E+00-0.788476166E+00 --0.787272918E+00-0.786090161E+00-0.784928638E+00-0.783787456E+00-0.782666536E+00 --0.781565878E+00-0.780483446E+00-0.779421132E+00-0.778378156E+00-0.777353096E+00 --0.776346835E+00-0.775360000E+00-0.774391448E+00-0.773440317E+00-0.772506607E+00 --0.771590021E+00-0.770690956E+00-0.769809409E+00-0.768943966E+00-0.768095497E+00 --0.767263678E+00-0.766447811E+00-0.765648354E+00-0.764863831E+00-0.764095222E+00 --0.763342148E+00-0.762604622E+00-0.761882873E+00-0.761175499E+00-0.760482499E+00 --0.759803875E+00-0.759139626E+00-0.758489896E+00-0.757854768E+00-0.757233584E+00 --0.756625999E+00-0.756031472E+00-0.755450003E+00-0.754881641E+00-0.754327163E+00 --0.753786424E+00-0.753257558E+00-0.752743439E+00-0.752241051E+00-0.751750392E+00 --0.751271464E+00-0.750804265E+00-0.750348797E+00-0.749907510E+00-0.749483893E+00 --0.749076008E+00-0.748686180E+00-0.748314408E+00-0.747960693E+00-0.747625034E+00 --0.747307431E+00-0.747007885E+00-0.746726395E+00-0.746462962E+00-0.746217585E+00 --0.745990264E+00-0.745781000E+00-0.745587105E+00-0.745411217E+00-0.745253464E+00 --0.745112463E+00-0.744988212E+00-0.744880713E+00-0.744789964E+00-0.744715966E+00 --0.744658719E+00-0.744618223E+00-0.744594477E+00-0.744587483E+00-0.744597239E+00 --0.744623747E+00-0.744665694E+00-0.744722772E+00-0.744797728E+00-0.744888180E+00 --0.744994109E+00-0.745115515E+00-0.745252399E+00-0.745404761E+00-0.745572599E+00 --0.745755916E+00-0.745954709E+00-0.746168980E+00-0.746398729E+00-0.746643955E+00 --0.746904659E+00-0.747178532E+00-0.747468795E+00-0.747772859E+00-0.748091179E+00 --0.748423754E+00-0.748770585E+00-0.749131672E+00-0.749507014E+00-0.749896612E+00 --0.750300465E+00-0.750718575E+00-0.751150940E+00-0.751597560E+00-0.752058436E+00 --0.752521451E+00-0.753009429E+00-0.753500331E+00-0.753994157E+00-0.754490907E+00 --0.754990581E+00-0.755493179E+00-0.755998702E+00-0.756507148E+00-0.757018519E+00 --0.757532700E+00-0.758045827E+00-0.758564157E+00-0.759087692E+00-0.759616430E+00 --0.760150371E+00-0.760689517E+00-0.761233865E+00-0.761783325E+00-0.762333639E+00 --0.762883449E+00-0.763432756E+00-0.763981559E+00-0.764529859E+00-0.765077656E+00 --0.765624949E+00-0.766171739E+00-0.766718026E+00-0.767263808E+00-0.767809088E+00 --0.768353864E+00-0.768898137E+00-0.769441906E+00-0.769985172E+00-0.770527935E+00 --0.771070194E+00-0.771611949E+00-0.772153202E+00-0.772655452E+00-0.773146389E+00 --0.773631631E+00-0.774111179E+00-0.774585032E+00-0.775053191E+00-0.775515656E+00 --0.775970953E+00-0.776450081E+00-0.776969116E+00-0.777528060E+00-0.778126912E+00 --0.778791054E+00-0.779497609E+00-0.780231492E+00-0.780992704E+00-0.781781245E+00 --0.782597114E+00-0.783440311E+00-0.784326644E+00-0.785255083E+00-0.786223813E+00 --0.787232834E+00-0.788282147E+00-0.789371751E+00-0.790497929E+00-0.791654676E+00 --0.792843191E+00-0.794063474E+00-0.795315524E+00-0.796599343E+00-0.797912406E+00 --0.799259011E+00-0.800645734E+00-0.802067270E+00-0.803523620E+00-0.805014784E+00 --0.806540761E+00-0.808101552E+00-0.809697156E+00-0.811327651E+00-0.812995714E+00 --0.814702645E+00-0.816448444E+00-0.818233111E+00-0.820056646E+00-0.821921446E+00 --0.971051849E+00-0.969756813E+00-0.968533156E+00-0.967380879E+00-0.966299982E+00 --0.965290464E+00-0.964352325E+00-0.963485567E+00-0.962690187E+00-0.961966188E+00 --0.961313568E+00-0.960732327E+00-0.960222466E+00-0.959783985E+00-0.959416883E+00 --0.959121161E+00-0.958954511E+00-0.958855299E+00-0.958679604E+00-0.958285814E+00 --0.957842379E+00-0.957362371E+00-0.956845791E+00-0.956292637E+00-0.955702911E+00 --0.955076613E+00-0.954413741E+00-0.953698510E+00-0.952875778E+00-0.951976674E+00 --0.951001198E+00-0.949949351E+00-0.948821131E+00-0.947615322E+00-0.946349180E+00 --0.945028737E+00-0.943653994E+00-0.942224950E+00-0.940741605E+00-0.939203960E+00 --0.937601692E+00-0.935905156E+00-0.934114570E+00-0.932229934E+00-0.930251248E+00 --0.928178511E+00-0.925970578E+00-0.923682521E+00-0.921327509E+00-0.918905542E+00 --0.916416621E+00-0.913860745E+00-0.911237914E+00-0.908548129E+00-0.905763383E+00 --0.902691604E+00-0.899497852E+00-0.896306775E+00-0.893199190E+00-0.890144775E+00 --0.887143532E+00-0.884195459E+00-0.881300557E+00-0.878458826E+00-0.875670266E+00 --0.872934877E+00-0.870275154E+00-0.867667360E+00-0.865100249E+00-0.862573820E+00 --0.860088074E+00-0.857643011E+00-0.855238631E+00-0.852889734E+00-0.850608213E+00 --0.848362143E+00-0.846146896E+00-0.843974891E+00-0.841846874E+00-0.839762844E+00 --0.837701953E+00-0.835675893E+00-0.833690205E+00-0.831737764E+00-0.829817141E+00 --0.827927903E+00-0.826071391E+00-0.824247467E+00-0.822455929E+00-0.820694427E+00 --0.818963636E+00-0.817262007E+00-0.815588290E+00-0.813944847E+00-0.812329039E+00 --0.810740265E+00-0.809178525E+00-0.807643818E+00-0.806136145E+00-0.804651825E+00 --0.803194966E+00-0.801763797E+00-0.800356210E+00-0.798972325E+00-0.797612466E+00 --0.796276767E+00-0.794963953E+00-0.793673944E+00-0.792406738E+00-0.791162336E+00 --0.789939209E+00-0.788736791E+00-0.787556988E+00-0.786397446E+00-0.785258166E+00 --0.784139319E+00-0.783041529E+00-0.781962760E+00-0.780903573E+00-0.779863507E+00 --0.778842731E+00-0.777841344E+00-0.776859050E+00-0.775893974E+00-0.774947437E+00 --0.774018658E+00-0.773107488E+00-0.772213926E+00-0.771338229E+00-0.770478600E+00 --0.769636124E+00-0.768810581E+00-0.768001950E+00-0.767209200E+00-0.766432086E+00 --0.765670608E+00-0.764925098E+00-0.764195742E+00-0.763481316E+00-0.762781820E+00 --0.762097254E+00-0.761427609E+00-0.760773039E+00-0.760133361E+00-0.759508596E+00 --0.758897836E+00-0.758300474E+00-0.757716510E+00-0.757146050E+00-0.756590459E+00 --0.756049917E+00-0.755520908E+00-0.755005061E+00-0.754507058E+00-0.754021655E+00 --0.753547983E+00-0.753086041E+00-0.752635830E+00-0.752201920E+00-0.751788043E+00 --0.751386393E+00-0.751000661E+00-0.750632986E+00-0.750283367E+00-0.749951805E+00 --0.749638298E+00-0.749342849E+00-0.749065455E+00-0.748806118E+00-0.748564838E+00 --0.748340313E+00-0.748130483E+00-0.747938105E+00-0.747762947E+00-0.747605828E+00 --0.747465912E+00-0.747342748E+00-0.747236334E+00-0.747146672E+00-0.747073760E+00 --0.747017599E+00-0.746978189E+00-0.746955530E+00-0.746949621E+00-0.746959627E+00 --0.746984799E+00-0.747025853E+00-0.747082356E+00-0.747156713E+00-0.747246513E+00 --0.747351266E+00-0.747471497E+00-0.747607204E+00-0.747758390E+00-0.747925052E+00 --0.748107193E+00-0.748304810E+00-0.748517905E+00-0.748746478E+00-0.748990528E+00 --0.749247400E+00-0.749517033E+00-0.749804856E+00-0.750105561E+00-0.750417155E+00 --0.750743004E+00-0.751083109E+00-0.751437469E+00-0.751806085E+00-0.752188957E+00 --0.752586084E+00-0.752997467E+00-0.753423106E+00-0.753863000E+00-0.754303223E+00 --0.754748883E+00-0.755224602E+00-0.755704977E+00-0.756188277E+00-0.756674501E+00 --0.757163648E+00-0.757655720E+00-0.758150716E+00-0.758648564E+00-0.759147939E+00 --0.759652517E+00-0.760162299E+00-0.760677285E+00-0.761197474E+00-0.761722867E+00 --0.762253463E+00-0.762789263E+00-0.763330267E+00-0.763874687E+00-0.764416446E+00 --0.764957701E+00-0.765498453E+00-0.766038702E+00-0.766578447E+00-0.767117689E+00 --0.767656427E+00-0.768194662E+00-0.768732393E+00-0.769269621E+00-0.769806346E+00 --0.770342567E+00-0.770878285E+00-0.771413499E+00-0.771948210E+00-0.772482418E+00 --0.772996583E+00-0.773496803E+00-0.773991329E+00-0.774480161E+00-0.774963298E+00 --0.775440741E+00-0.775912489E+00-0.776378543E+00-0.776838902E+00-0.777293567E+00 --0.777738083E+00-0.778201847E+00-0.778705519E+00-0.779249099E+00-0.779832588E+00 --0.780455984E+00-0.781119289E+00-0.781834048E+00-0.782578511E+00-0.783350302E+00 --0.784156608E+00-0.785004976E+00-0.785893636E+00-0.786822587E+00-0.787791829E+00 --0.788801363E+00-0.789851188E+00-0.790941305E+00-0.792071713E+00-0.793235053E+00 --0.794429970E+00-0.795656655E+00-0.796915108E+00-0.798204020E+00-0.799524915E+00 --0.800886430E+00-0.802288566E+00-0.803731658E+00-0.805211217E+00-0.806725589E+00 --0.808274774E+00-0.809858773E+00-0.811477586E+00-0.813131212E+00-0.814827330E+00 --0.816562884E+00-0.818337306E+00-0.820150597E+00-0.822002755E+00-0.823893782E+00 --0.975713882E+00-0.974446162E+00-0.973313790E+00-0.972256375E+00-0.971270341E+00 --0.970355686E+00-0.969512410E+00-0.968740514E+00-0.968039998E+00-0.967410861E+00 --0.966853104E+00-0.966366726E+00-0.965951728E+00-0.965608110E+00-0.965335871E+00 --0.965135012E+00-0.965060774E+00-0.965049834E+00-0.964962413E+00-0.964798509E+00 --0.964544703E+00-0.964154944E+00-0.963728613E+00-0.963265710E+00-0.962766233E+00 --0.962228371E+00-0.961589660E+00-0.960874577E+00-0.960083123E+00-0.959215296E+00 --0.958271098E+00-0.957250527E+00-0.956153585E+00-0.954980271E+00-0.953730585E+00 --0.952407013E+00-0.951032391E+00-0.949603468E+00-0.948133256E+00-0.946572894E+00 --0.944918481E+00-0.943170018E+00-0.941327505E+00-0.939390941E+00-0.937360327E+00 --0.935235663E+00-0.933016948E+00-0.930703322E+00-0.928246871E+00-0.925723465E+00 --0.923133104E+00-0.920475789E+00-0.917751519E+00-0.914822998E+00-0.911761846E+00 --0.908578721E+00-0.905273623E+00-0.901968645E+00-0.898745965E+00-0.895576457E+00 --0.892460120E+00-0.889396953E+00-0.886386957E+00-0.883430132E+00-0.880526478E+00 --0.877675995E+00-0.874878683E+00-0.872134541E+00-0.869443571E+00-0.866805771E+00 --0.864221142E+00-0.861689684E+00-0.859208033E+00-0.856806221E+00-0.854448046E+00 --0.852133859E+00-0.849863660E+00-0.847637447E+00-0.845455223E+00-0.843316985E+00 --0.841209494E+00-0.839138440E+00-0.837104478E+00-0.835106763E+00-0.833140790E+00 --0.831209140E+00-0.829312813E+00-0.827450293E+00-0.825621233E+00-0.823822488E+00 --0.822055404E+00-0.820319290E+00-0.818612816E+00-0.816937060E+00-0.815291816E+00 --0.813674397E+00-0.812084012E+00-0.810520660E+00-0.808984291E+00-0.807475570E+00 --0.805994588E+00-0.804540199E+00-0.803109440E+00-0.801702263E+00-0.800319746E+00 --0.798961901E+00-0.797628922E+00-0.796318650E+00-0.795031038E+00-0.793766085E+00 --0.792524006E+00-0.791303844E+00-0.790106068E+00-0.788929664E+00-0.787774162E+00 --0.786639563E+00-0.785525583E+00-0.784430783E+00-0.783356933E+00-0.782304020E+00 --0.781270209E+00-0.780255310E+00-0.779259323E+00-0.778281262E+00-0.777322865E+00 --0.776382560E+00-0.775460347E+00-0.774556226E+00-0.773669491E+00-0.772799917E+00 --0.771947979E+00-0.771113105E+00-0.770295217E+00-0.769494496E+00-0.768709412E+00 --0.767940417E+00-0.767187896E+00-0.766451818E+00-0.765731685E+00-0.765026453E+00 --0.764336529E+00-0.763662172E+00-0.763003141E+00-0.762359294E+00-0.761731322E+00 --0.761117872E+00-0.760517729E+00-0.759931437E+00-0.759360194E+00-0.758804001E+00 --0.758262856E+00-0.757734315E+00-0.757220266E+00-0.756721737E+00-0.756240044E+00 --0.755771629E+00-0.755314943E+00-0.754869987E+00-0.754442523E+00-0.754032731E+00 --0.753639212E+00-0.753259362E+00-0.752895784E+00-0.752550261E+00-0.752222795E+00 --0.751913385E+00-0.751622032E+00-0.751348735E+00-0.751093154E+00-0.750852676E+00 --0.750629048E+00-0.750422290E+00-0.750233063E+00-0.750060504E+00-0.749904616E+00 --0.749765759E+00-0.749643681E+00-0.749538353E+00-0.749449777E+00-0.749377951E+00 --0.749322876E+00-0.749284553E+00-0.749262653E+00-0.749256714E+00-0.749267066E+00 --0.749293584E+00-0.749335650E+00-0.749393294E+00-0.749466921E+00-0.749557260E+00 --0.749662433E+00-0.749782375E+00-0.749916907E+00-0.750066916E+00-0.750232403E+00 --0.750413367E+00-0.750609808E+00-0.750821728E+00-0.751049124E+00-0.751290611E+00 --0.751545299E+00-0.751813810E+00-0.752097808E+00-0.752396275E+00-0.752707068E+00 --0.753028889E+00-0.753362267E+00-0.753709902E+00-0.754071791E+00-0.754447937E+00 --0.754838338E+00-0.755242995E+00-0.755661907E+00-0.756084297E+00-0.756515504E+00 --0.756956840E+00-0.757419545E+00-0.757889394E+00-0.758362167E+00-0.758837864E+00 --0.759316486E+00-0.759798030E+00-0.760283653E+00-0.760774479E+00-0.761270508E+00 --0.761771741E+00-0.762278178E+00-0.762789819E+00-0.763306663E+00-0.763828710E+00 --0.764355962E+00-0.764888417E+00-0.765426075E+00-0.765967636E+00-0.766500840E+00 --0.767033541E+00-0.767565738E+00-0.768097431E+00-0.768628621E+00-0.769159308E+00 --0.769689491E+00-0.770219171E+00-0.770748348E+00-0.771277021E+00-0.771805191E+00 --0.772332857E+00-0.772860020E+00-0.773380300E+00-0.773889804E+00-0.774393614E+00 --0.774891729E+00-0.775384150E+00-0.775870876E+00-0.776351908E+00-0.776827245E+00 --0.777296888E+00-0.777760836E+00-0.778219090E+00-0.778671650E+00-0.779118515E+00 --0.779552251E+00-0.780000651E+00-0.780488959E+00-0.781017176E+00-0.781585301E+00 --0.782193334E+00-0.782841276E+00-0.783529125E+00-0.784258026E+00-0.785026344E+00 --0.785834933E+00-0.786683814E+00-0.787572987E+00-0.788502450E+00-0.789472205E+00 --0.790482252E+00-0.791532590E+00-0.792623219E+00-0.793754140E+00-0.794923798E+00 --0.796125118E+00-0.797358205E+00-0.798622606E+00-0.799919332E+00-0.801256678E+00 --0.802634644E+00-0.804053231E+00-0.805512438E+00-0.807012266E+00-0.808550021E+00 --0.810122415E+00-0.811729622E+00-0.813371643E+00-0.815048478E+00-0.816769549E+00 --0.818533727E+00-0.820336772E+00-0.822178686E+00-0.824059468E+00-0.825978761E+00 --0.980200341E+00-0.978969809E+00-0.977834859E+00-0.976795491E+00-0.975858066E+00 --0.975038274E+00-0.974289861E+00-0.973612828E+00-0.973007175E+00-0.972472901E+00 --0.972010006E+00-0.971618492E+00-0.971298357E+00-0.971049601E+00-0.970872225E+00 --0.970766229E+00-0.970784404E+00-0.970861737E+00-0.970862587E+00-0.970786956E+00 --0.970634843E+00-0.970406247E+00-0.970094704E+00-0.969722050E+00-0.969272472E+00 --0.968741410E+00-0.968133977E+00-0.967450171E+00-0.966689994E+00-0.965853623E+00 --0.964940247E+00-0.963949350E+00-0.962880933E+00-0.961734994E+00-0.960511533E+00 --0.959210552E+00-0.957817878E+00-0.956418020E+00-0.954919830E+00-0.953323309E+00 --0.951628455E+00-0.949835270E+00-0.947943754E+00-0.945953905E+00-0.943869577E+00 --0.941692986E+00-0.939422343E+00-0.937057651E+00-0.934598908E+00-0.932031980E+00 --0.929340180E+00-0.926542267E+00-0.923613715E+00-0.920563190E+00-0.917390692E+00 --0.914096221E+00-0.910679776E+00-0.907260897E+00-0.903923124E+00-0.900638522E+00 --0.897407091E+00-0.894228830E+00-0.891103740E+00-0.888031822E+00-0.885013074E+00 --0.882047497E+00-0.879135091E+00-0.876275855E+00-0.873469791E+00-0.870716897E+00 --0.868110426E+00-0.865599123E+00-0.863108734E+00-0.860542753E+00-0.858127228E+00 --0.855759478E+00-0.853435071E+00-0.851154651E+00-0.848918219E+00-0.846725773E+00 --0.844572645E+00-0.842456596E+00-0.840377640E+00-0.838335777E+00-0.836331007E+00 --0.834359527E+00-0.832427535E+00-0.830529268E+00-0.828663593E+00-0.826830675E+00 --0.825032296E+00-0.823265588E+00-0.821529075E+00-0.819822944E+00-0.818147526E+00 --0.816502825E+00-0.814884800E+00-0.813295299E+00-0.811734779E+00-0.810201999E+00 --0.808696957E+00-0.807219618E+00-0.805765687E+00-0.804337323E+00-0.802934981E+00 --0.801557086E+00-0.800203637E+00-0.798874747E+00-0.797568466E+00-0.796285709E+00 --0.795026433E+00-0.793790202E+00-0.792575845E+00-0.791383331E+00-0.790211996E+00 --0.789061489E+00-0.787932537E+00-0.786824617E+00-0.785737646E+00-0.784671626E+00 --0.783625319E+00-0.782597721E+00-0.781589198E+00-0.780600279E+00-0.779630484E+00 --0.778679591E+00-0.777746829E+00-0.776832231E+00-0.775936343E+00-0.775058147E+00 --0.774197645E+00-0.773354835E+00-0.772528155E+00-0.771719702E+00-0.770927876E+00 --0.770152492E+00-0.769393547E+00-0.768651222E+00-0.767925645E+00-0.767215508E+00 --0.766521250E+00-0.765842814E+00-0.765180043E+00-0.764532706E+00-0.763901462E+00 --0.763284469E+00-0.762682525E+00-0.762095631E+00-0.761523785E+00-0.760966989E+00 --0.760425242E+00-0.759897690E+00-0.759385440E+00-0.758888709E+00-0.758407497E+00 --0.757942399E+00-0.757490970E+00-0.757051300E+00-0.756629318E+00-0.756223610E+00 --0.755834177E+00-0.755461017E+00-0.755102801E+00-0.754761375E+00-0.754438006E+00 --0.754132692E+00-0.753845436E+00-0.753574415E+00-0.753320139E+00-0.753082713E+00 --0.752862136E+00-0.752658605E+00-0.752471977E+00-0.752302019E+00-0.752148730E+00 --0.752012003E+00-0.751891011E+00-0.751786770E+00-0.751699280E+00-0.751628540E+00 --0.751574772E+00-0.751537722E+00-0.751516963E+00-0.751512494E+00-0.751524314E+00 --0.751551943E+00-0.751595148E+00-0.751653932E+00-0.751728292E+00-0.751818704E+00 --0.751924413E+00-0.752044957E+00-0.752180336E+00-0.752330340E+00-0.752494650E+00 --0.752674438E+00-0.752869704E+00-0.753080447E+00-0.753306305E+00-0.753546047E+00 --0.753799612E+00-0.754067001E+00-0.754348402E+00-0.754644431E+00-0.754952788E+00 --0.755273472E+00-0.755606484E+00-0.755948969E+00-0.756304133E+00-0.756673552E+00 --0.757057227E+00-0.757455090E+00-0.757861718E+00-0.758278473E+00-0.758705355E+00 --0.759142365E+00-0.759594258E+00-0.760053581E+00-0.760515828E+00-0.760981099E+00 --0.761452969E+00-0.761930042E+00-0.762412319E+00-0.762899800E+00-0.763392485E+00 --0.763890373E+00-0.764393464E+00-0.764901759E+00-0.765415258E+00-0.765933961E+00 --0.766457867E+00-0.766986977E+00-0.767521290E+00-0.768060807E+00-0.768586821E+00 --0.769110966E+00-0.769634608E+00-0.770157747E+00-0.770680382E+00-0.771202514E+00 --0.771724143E+00-0.772245268E+00-0.772765889E+00-0.773286007E+00-0.773806603E+00 --0.774325391E+00-0.774838484E+00-0.775345883E+00-0.775847587E+00-0.776343597E+00 --0.776833912E+00-0.777318533E+00-0.777797460E+00-0.778270692E+00-0.778738230E+00 --0.779200073E+00-0.779656221E+00-0.780106676E+00-0.780551436E+00-0.780990501E+00 --0.781413456E+00-0.781846492E+00-0.782319437E+00-0.782832290E+00-0.783385052E+00 --0.783977722E+00-0.784612280E+00-0.785298526E+00-0.786031320E+00-0.786805934E+00 --0.787619165E+00-0.788471671E+00-0.789363453E+00-0.790294512E+00-0.791264942E+00 --0.792275501E+00-0.793326351E+00-0.794417493E+00-0.795548927E+00-0.796720652E+00 --0.797928634E+00-0.799168124E+00-0.800440719E+00-0.801753896E+00-0.803107694E+00 --0.804502112E+00-0.805937150E+00-0.807412809E+00-0.808929088E+00-0.810485988E+00 --0.812083507E+00-0.813714098E+00-0.815379328E+00-0.817079371E+00-0.818822371E+00 --0.820615173E+00-0.822446842E+00-0.824317379E+00-0.826222081E+00-0.828170735E+00 --0.984437702E+00-0.983244359E+00-0.982146598E+00-0.981144420E+00-0.980237823E+00 --0.979426809E+00-0.978711377E+00-0.978102509E+00-0.977591718E+00-0.977152307E+00 --0.976784275E+00-0.976487623E+00-0.976262351E+00-0.976108458E+00-0.976025945E+00 --0.976014812E+00-0.976125400E+00-0.976291005E+00-0.976380128E+00-0.976392770E+00 --0.976328929E+00-0.976188606E+00-0.975961373E+00-0.975636651E+00-0.975215977E+00 --0.974716415E+00-0.974139332E+00-0.973484727E+00-0.972752601E+00-0.971942955E+00 --0.971055787E+00-0.970091098E+00-0.969048888E+00-0.967929156E+00-0.966721300E+00 --0.965420270E+00-0.964030255E+00-0.962607225E+00-0.961085864E+00-0.959466170E+00 --0.957748145E+00-0.955931789E+00-0.954017100E+00-0.952004080E+00-0.949892728E+00 --0.947683045E+00-0.945375030E+00-0.942968683E+00-0.940442967E+00-0.937793830E+00 --0.935040174E+00-0.932135535E+00-0.929095637E+00-0.925933766E+00-0.922649921E+00 --0.919244104E+00-0.915716313E+00-0.912183533E+00-0.908730666E+00-0.905330970E+00 --0.901984445E+00-0.898691090E+00-0.895450907E+00-0.892263894E+00-0.889130052E+00 --0.886049381E+00-0.883021881E+00-0.880109847E+00-0.877290011E+00-0.874559808E+00 --0.871919239E+00-0.869368303E+00-0.866782229E+00-0.864192180E+00-0.861650048E+00 --0.859226407E+00-0.856855907E+00-0.854525939E+00-0.852235862E+00-0.849989541E+00 --0.847791405E+00-0.845630362E+00-0.843506697E+00-0.841423477E+00-0.839381373E+00 --0.837377741E+00-0.835409853E+00-0.833476701E+00-0.831578371E+00-0.829715066E+00 --0.827886787E+00-0.826092578E+00-0.824328832E+00-0.822595281E+00-0.820891901E+00 --0.819219472E+00-0.817578873E+00-0.815968958E+00-0.814386297E+00-0.812830663E+00 --0.811302054E+00-0.809800644E+00-0.808326704E+00-0.806878916E+00-0.805456536E+00 --0.804059842E+00-0.802688836E+00-0.801342845E+00-0.800020112E+00-0.798720956E+00 --0.797445326E+00-0.796192868E+00-0.794963051E+00-0.793755550E+00-0.792570387E+00 --0.791406265E+00-0.790265038E+00-0.789144261E+00-0.788044171E+00-0.786965030E+00 --0.785906839E+00-0.784867468E+00-0.783848269E+00-0.782849141E+00-0.781869136E+00 --0.780908256E+00-0.779966500E+00-0.779043363E+00-0.778138790E+00-0.777252177E+00 --0.776383610E+00-0.775533089E+00-0.774699810E+00-0.773884279E+00-0.773085818E+00 --0.772304696E+00-0.771540343E+00-0.770792736E+00-0.770061901E+00-0.769347537E+00 --0.768649411E+00-0.767967524E+00-0.767301670E+00-0.766651424E+00-0.766017370E+00 --0.765399056E+00-0.764796352E+00-0.764209259E+00-0.763636823E+00-0.763079423E+00 --0.762537073E+00-0.762011032E+00-0.761500580E+00-0.761005648E+00-0.760526235E+00 --0.760062341E+00-0.759614122E+00-0.759180202E+00-0.758762306E+00-0.758360683E+00 --0.757975333E+00-0.757606258E+00-0.757253457E+00-0.756916709E+00-0.756597436E+00 --0.756295699E+00-0.756010776E+00-0.755742702E+00-0.755491477E+00-0.755257102E+00 --0.755039576E+00-0.754838878E+00-0.754654849E+00-0.754487490E+00-0.754336801E+00 --0.754202780E+00-0.754084739E+00-0.753981584E+00-0.753895984E+00-0.753827823E+00 --0.753775953E+00-0.753740373E+00-0.753721084E+00-0.753718086E+00-0.753731233E+00 --0.753760001E+00-0.753804346E+00-0.753864269E+00-0.753939769E+00-0.754030847E+00 --0.754137092E+00-0.754258172E+00-0.754394087E+00-0.754544836E+00-0.754710421E+00 --0.754890407E+00-0.755084496E+00-0.755294481E+00-0.755519278E+00-0.755757898E+00 --0.756010341E+00-0.756276608E+00-0.756556699E+00-0.756850230E+00-0.757156149E+00 --0.757474396E+00-0.757804970E+00-0.758147872E+00-0.758503101E+00-0.758865802E+00 --0.759243311E+00-0.759635486E+00-0.760037788E+00-0.760450218E+00-0.760872775E+00 --0.761305460E+00-0.761748742E+00-0.762197769E+00-0.762655887E+00-0.763119208E+00 --0.763587733E+00-0.764061461E+00-0.764540393E+00-0.765024529E+00-0.765513868E+00 --0.766008411E+00-0.766508157E+00-0.767013107E+00-0.767523261E+00-0.768038619E+00 --0.768559180E+00-0.769084944E+00-0.769615913E+00-0.770152085E+00-0.770674388E+00 --0.771189979E+00-0.771705066E+00-0.772219650E+00-0.772733730E+00-0.773247307E+00 --0.773760380E+00-0.774275492E+00-0.774803564E+00-0.775325940E+00-0.775842623E+00 --0.776353611E+00-0.776858904E+00-0.777358503E+00-0.777852408E+00-0.778340618E+00 --0.778823133E+00-0.779299955E+00-0.779771081E+00-0.780236514E+00-0.780696252E+00 --0.781150295E+00-0.781598644E+00-0.782041299E+00-0.782478259E+00-0.782909524E+00 --0.783321698E+00-0.783739371E+00-0.784196953E+00-0.784694442E+00-0.785231840E+00 --0.785826227E+00-0.786467344E+00-0.787155009E+00-0.787889221E+00-0.788668990E+00 --0.789488180E+00-0.790346646E+00-0.791244388E+00-0.792181405E+00-0.793157699E+00 --0.794173269E+00-0.795228115E+00-0.796322237E+00-0.797455635E+00-0.798628311E+00 --0.799840520E+00-0.801089076E+00-0.802378084E+00-0.803707713E+00-0.805077963E+00 --0.806488832E+00-0.807940322E+00-0.809432432E+00-0.810965163E+00-0.812538514E+00 --0.814152485E+00-0.815807077E+00-0.817500639E+00-0.819223891E+00-0.820985798E+00 --0.822807222E+00-0.824667040E+00-0.826553702E+00-0.828487750E+00-0.830469184E+00 --0.988425967E+00-0.987269813E+00-0.986209241E+00-0.985244251E+00-0.984374843E+00 --0.983601018E+00-0.982922775E+00-0.982340114E+00-0.981853035E+00-0.981461539E+00 --0.981175911E+00-0.980974122E+00-0.980843712E+00-0.980784682E+00-0.980797032E+00 --0.980880761E+00-0.981083762E+00-0.981337640E+00-0.981515036E+00-0.981615950E+00 --0.981626562E+00-0.981526931E+00-0.981333046E+00-0.981044907E+00-0.980662515E+00 --0.980189854E+00-0.979638979E+00-0.979010582E+00-0.978304664E+00-0.977521225E+00 --0.976660265E+00-0.975721784E+00-0.974699954E+00-0.973584283E+00-0.972377933E+00 --0.971080904E+00-0.969694163E+00-0.968247961E+00-0.966703428E+00-0.965060563E+00 --0.963319366E+00-0.961479837E+00-0.959541977E+00-0.957505785E+00-0.955369784E+00 --0.953112379E+00-0.950751261E+00-0.948286433E+00-0.945717893E+00-0.943047023E+00 --0.940252592E+00-0.937303375E+00-0.934199374E+00-0.930934724E+00-0.927539534E+00 --0.924022370E+00-0.920383233E+00-0.916736552E+00-0.913168591E+00-0.909653801E+00 --0.906192182E+00-0.902783734E+00-0.899428456E+00-0.896126350E+00-0.892907808E+00 --0.889779438E+00-0.886740702E+00-0.883791600E+00-0.880932131E+00-0.878162296E+00 --0.875482094E+00-0.872887639E+00-0.870225607E+00-0.867611490E+00-0.865045289E+00 --0.862527005E+00-0.860099737E+00-0.857726747E+00-0.855394289E+00-0.853102185E+00 --0.850853986E+00-0.848652710E+00-0.846492550E+00-0.844373508E+00-0.842295582E+00 --0.840256690E+00-0.838256130E+00-0.836293568E+00-0.834367518E+00-0.832475901E+00 --0.830618720E+00-0.828794201E+00-0.827004653E+00-0.825246287E+00-0.823519753E+00 --0.821825048E+00-0.820162175E+00-0.818531081E+00-0.816928147E+00-0.815352239E+00 --0.813803357E+00-0.812281383E+00-0.810788043E+00-0.809323420E+00-0.807884609E+00 --0.806470984E+00-0.805082805E+00-0.803720195E+00-0.802381172E+00-0.801066473E+00 --0.799776352E+00-0.798510459E+00-0.797267080E+00-0.796045933E+00-0.794846988E+00 --0.793670867E+00-0.792517639E+00-0.791385879E+00-0.790274605E+00-0.789183817E+00 --0.788113514E+00-0.787064200E+00-0.786036101E+00-0.785027458E+00-0.784038199E+00 --0.783068222E+00-0.782117235E+00-0.781186106E+00-0.780274082E+00-0.779380103E+00 --0.778504170E+00-0.777646454E+00-0.776807261E+00-0.775986397E+00-0.775182732E+00 --0.774396091E+00-0.773626474E+00-0.772874061E+00-0.772139350E+00-0.771421395E+00 --0.770719870E+00-0.770034774E+00-0.769366212E+00-0.768714106E+00-0.768078045E+00 --0.767458764E+00-0.766855094E+00-0.766267034E+00-0.765694584E+00-0.765137745E+00 --0.764597166E+00-0.764072004E+00-0.763563491E+00-0.763070721E+00-0.762593471E+00 --0.762131740E+00-0.761685529E+00-0.761255125E+00-0.760841122E+00-0.760443393E+00 --0.760061939E+00-0.759696758E+00-0.759347909E+00-0.759015747E+00-0.758700357E+00 --0.758401844E+00-0.758120181E+00-0.757855367E+00-0.757607402E+00-0.757376122E+00 --0.757161449E+00-0.756963546E+00-0.756782313E+00-0.756617749E+00-0.756469854E+00 --0.756338628E+00-0.756223591E+00-0.756124842E+00-0.756042329E+00-0.755976107E+00 --0.755926175E+00-0.755892534E+00-0.755875074E+00-0.755873322E+00-0.755887859E+00 --0.755918050E+00-0.755963819E+00-0.756025165E+00-0.756102088E+00-0.756194152E+00 --0.756301146E+00-0.756423102E+00-0.756559894E+00-0.756711520E+00-0.756877982E+00 --0.757059278E+00-0.757254679E+00-0.757464647E+00-0.757688802E+00-0.757926781E+00 --0.758178582E+00-0.758444208E+00-0.758723279E+00-0.759014551E+00-0.759318695E+00 --0.759635191E+00-0.759964014E+00-0.760305165E+00-0.760658644E+00-0.761023909E+00 --0.761400629E+00-0.761789108E+00-0.762187714E+00-0.762596448E+00-0.763015309E+00 --0.763444298E+00-0.763883728E+00-0.764336456E+00-0.764794070E+00-0.765256567E+00 --0.765721904E+00-0.766192287E+00-0.766667874E+00-0.767148664E+00-0.767634658E+00 --0.768125856E+00-0.768622257E+00-0.769123862E+00-0.769630671E+00-0.770142683E+00 --0.770659899E+00-0.771182319E+00-0.771709942E+00-0.772242769E+00-0.772763542E+00 --0.773270578E+00-0.773777110E+00-0.774283139E+00-0.774788664E+00-0.775324322E+00 --0.775855983E+00-0.776381949E+00-0.776902220E+00-0.777416797E+00-0.777925680E+00 --0.778428868E+00-0.778926362E+00-0.779418161E+00-0.779904266E+00-0.780384676E+00 --0.780859392E+00-0.781328414E+00-0.781791741E+00-0.782249373E+00-0.782701311E+00 --0.783147555E+00-0.783588104E+00-0.784022959E+00-0.784452119E+00-0.784875585E+00 --0.785276978E+00-0.785679288E+00-0.786121506E+00-0.786620232E+00-0.787169672E+00 --0.787765660E+00-0.788408195E+00-0.789097279E+00-0.789832910E+00-0.790615089E+00 --0.791440337E+00-0.792304763E+00-0.793208464E+00-0.794151441E+00-0.795133695E+00 --0.796155224E+00-0.797216029E+00-0.798316111E+00-0.799455468E+00-0.800635280E+00 --0.801859636E+00-0.803125419E+00-0.804430817E+00-0.805776954E+00-0.807163832E+00 --0.808591450E+00-0.810059809E+00-0.811568908E+00-0.813118747E+00-0.814709327E+00 --0.816340646E+00-0.818011760E+00-0.819723424E+00-0.821475708E+00-0.823263311E+00 --0.825101569E+00-0.826973625E+00-0.828893066E+00-0.830859894E+00-0.832874107E+00 --0.992165135E+00-0.991046170E+00-0.990022787E+00-0.989094986E+00-0.988262767E+00 --0.987526130E+00-0.986885076E+00-0.986339604E+00-0.985889714E+00-0.985535407E+00 --0.985276681E+00-0.985113538E+00-0.985045977E+00-0.985078272E+00-0.985185485E+00 --0.985364077E+00-0.985659490E+00-0.986001641E+00-0.986257897E+00-0.986383355E+00 --0.986414560E+00-0.986351512E+00-0.986194209E+00-0.985942654E+00-0.985596845E+00 --0.985156782E+00-0.984627564E+00-0.984025375E+00-0.983345665E+00-0.982588434E+00 --0.981751418E+00-0.980821106E+00-0.979800115E+00-0.978688445E+00-0.977486096E+00 --0.976193069E+00-0.974809601E+00-0.973340228E+00-0.971772522E+00-0.970106486E+00 --0.968342117E+00-0.966476901E+00-0.964507515E+00-0.962434417E+00-0.960257608E+00 --0.957977087E+00-0.955592856E+00-0.953104913E+00-0.950513258E+00-0.947815939E+00 --0.944973571E+00-0.941976418E+00-0.938824481E+00-0.935517759E+00-0.932056253E+00 --0.928431019E+00-0.924680536E+00-0.920919954E+00-0.917236899E+00-0.913607015E+00 --0.910030302E+00-0.906504309E+00-0.903067406E+00-0.899720137E+00-0.896462501E+00 --0.893294499E+00-0.890216130E+00-0.887227396E+00-0.884328295E+00-0.881518827E+00 --0.878798994E+00-0.876124967E+00-0.873438866E+00-0.870800681E+00-0.868210413E+00 --0.865668060E+00-0.863173624E+00-0.860747220E+00-0.858371740E+00-0.856037594E+00 --0.853755525E+00-0.851516789E+00-0.849322069E+00-0.847169881E+00-0.845060247E+00 --0.842991428E+00-0.840963526E+00-0.838972973E+00-0.837019278E+00-0.835100536E+00 --0.833217291E+00-0.831369964E+00-0.829558740E+00-0.827782117E+00-0.826036057E+00 --0.824320563E+00-0.822635632E+00-0.820982218E+00-0.819359462E+00-0.817763894E+00 --0.816197171E+00-0.814659209E+00-0.813150007E+00-0.811669565E+00-0.810215720E+00 --0.808786863E+00-0.807383329E+00-0.806005586E+00-0.804652549E+00-0.803324207E+00 --0.802020457E+00-0.800740999E+00-0.799484730E+00-0.798251724E+00-0.797041544E+00 --0.795854188E+00-0.794689657E+00-0.793547193E+00-0.792424901E+00-0.791323786E+00 --0.790244320E+00-0.789186387E+00-0.788149351E+00-0.787131753E+00-0.786133997E+00 --0.785156163E+00-0.784198173E+00-0.783260025E+00-0.782341135E+00-0.781439950E+00 --0.780558192E+00-0.779694963E+00-0.778850261E+00-0.778024026E+00-0.777215337E+00 --0.776424201E+00-0.775650595E+00-0.774894518E+00-0.774155990E+00-0.773435077E+00 --0.772731109E+00-0.772043655E+00-0.771373080E+00-0.770719215E+00-0.770081949E+00 --0.769461275E+00-0.768857141E+00-0.768268779E+00-0.767696566E+00-0.767140735E+00 --0.766601139E+00-0.766077606E+00-0.765570296E+00-0.765079208E+00-0.764604343E+00 --0.764145580E+00-0.763702196E+00-0.763275029E+00-0.762864574E+00-0.762470295E+00 --0.762092481E+00-0.761731169E+00-0.761386358E+00-0.761058049E+00-0.760746337E+00 --0.760451465E+00-0.760173484E+00-0.759912214E+00-0.759667650E+00-0.759439793E+00 --0.759228641E+00-0.759033958E+00-0.758855890E+00-0.758694556E+00-0.758549662E+00 --0.758421208E+00-0.758309193E+00-0.758213618E+00-0.758133959E+00-0.758070578E+00 --0.758023504E+00-0.757992390E+00-0.757977236E+00-0.757978042E+00-0.757994807E+00 --0.758026940E+00-0.758074742E+00-0.758138070E+00-0.758216567E+00-0.758310234E+00 --0.758419071E+00-0.758542999E+00-0.758681290E+00-0.758834567E+00-0.759002476E+00 --0.759184635E+00-0.759381044E+00-0.759591703E+00-0.759816455E+00-0.760054668E+00 --0.760306872E+00-0.760572295E+00-0.760850563E+00-0.761141676E+00-0.761445634E+00 --0.761762102E+00-0.762090425E+00-0.762431495E+00-0.762784087E+00-0.763147757E+00 --0.763522505E+00-0.763908333E+00-0.764304731E+00-0.764710916E+00-0.765126294E+00 --0.765551240E+00-0.765989645E+00-0.766441655E+00-0.766898550E+00-0.767360329E+00 --0.767826992E+00-0.768298539E+00-0.768774970E+00-0.769256286E+00-0.769742485E+00 --0.770233569E+00-0.770729537E+00-0.771230389E+00-0.771736125E+00-0.772246155E+00 --0.772760026E+00-0.773279100E+00-0.773803378E+00-0.774332860E+00-0.774854283E+00 --0.775352764E+00-0.775887667E+00-0.776428611E+00-0.776963861E+00-0.777493416E+00 --0.778017276E+00-0.778535442E+00-0.779047914E+00-0.779554692E+00-0.780055774E+00 --0.780551163E+00-0.781040857E+00-0.781524856E+00-0.782003161E+00-0.782475772E+00 --0.782942688E+00-0.783403910E+00-0.783859437E+00-0.784309270E+00-0.784753409E+00 --0.785191853E+00-0.785624602E+00-0.786051657E+00-0.786473018E+00-0.786888684E+00 --0.787279296E+00-0.787680540E+00-0.788138303E+00-0.788642614E+00-0.789193473E+00 --0.789790879E+00-0.790434834E+00-0.791125336E+00-0.791862385E+00-0.792645983E+00 --0.793475637E+00-0.794346022E+00-0.795255683E+00-0.796204620E+00-0.797192832E+00 --0.798220321E+00-0.799287086E+00-0.800393127E+00-0.801543599E+00-0.802738028E+00 --0.803976216E+00-0.805258165E+00-0.806580314E+00-0.807943144E+00-0.809346715E+00 --0.810791026E+00-0.812276077E+00-0.813801869E+00-0.815368400E+00-0.816975673E+00 --0.818623685E+00-0.820312438E+00-0.822041931E+00-0.823812210E+00-0.825638597E+00 --0.827500568E+00-0.829398943E+00-0.831345919E+00-0.833341495E+00-0.835385671E+00 --0.995655207E+00-0.994573430E+00-0.993587236E+00-0.992696624E+00-0.991901594E+00 --0.991202146E+00-0.990598281E+00-0.990089997E+00-0.989677296E+00-0.989360178E+00 --0.989138641E+00-0.989012687E+00-0.988982315E+00-0.989047525E+00-0.989208317E+00 --0.989464759E+00-0.989852585E+00-0.990205925E+00-0.990462220E+00-0.990624261E+00 --0.990692049E+00-0.990665583E+00-0.990544864E+00-0.990329891E+00-0.990020665E+00 --0.989617186E+00-0.989119453E+00-0.988529108E+00-0.987875605E+00-0.987130740E+00 --0.986295108E+00-0.985368797E+00-0.984351807E+00-0.983244138E+00-0.982045790E+00 --0.980756764E+00-0.979376570E+00-0.977887398E+00-0.976309742E+00-0.974628376E+00 --0.972843297E+00-0.970954508E+00-0.968962007E+00-0.966865795E+00-0.964665871E+00 --0.962362237E+00-0.959954890E+00-0.957443833E+00-0.954829064E+00-0.952093415E+00 --0.949203111E+00-0.946158023E+00-0.942958150E+00-0.939603492E+00-0.936094049E+00 --0.932429822E+00-0.928608222E+00-0.924733739E+00-0.920899351E+00-0.917153914E+00 --0.913498111E+00-0.909931942E+00-0.906455407E+00-0.903068505E+00-0.899771237E+00 --0.896563603E+00-0.893445602E+00-0.890417235E+00-0.887478502E+00-0.884629402E+00 --0.881869937E+00-0.879132176E+00-0.876422008E+00-0.873759755E+00-0.871145419E+00 --0.868578999E+00-0.866060494E+00-0.863589906E+00-0.861168856E+00-0.858792668E+00 --0.856480832E+00-0.854212331E+00-0.851988568E+00-0.849811889E+00-0.847676983E+00 --0.845583700E+00-0.843523803E+00-0.841509353E+00-0.839533841E+00-0.837595734E+00 --0.835692216E+00-0.833823636E+00-0.831991349E+00-0.830194919E+00-0.828430944E+00 --0.826697533E+00-0.824994686E+00-0.823322404E+00-0.821680275E+00-0.820070764E+00 --0.818489885E+00-0.816936493E+00-0.815411429E+00-0.813915125E+00-0.812447581E+00 --0.811003684E+00-0.809587124E+00-0.808196825E+00-0.806831231E+00-0.805490413E+00 --0.804175442E+00-0.802884239E+00-0.801617447E+00-0.800374190E+00-0.799153714E+00 --0.797956020E+00-0.796781107E+00-0.795628100E+00-0.794497485E+00-0.793388277E+00 --0.792300274E+00-0.791233567E+00-0.790188464E+00-0.789163838E+00-0.788158990E+00 --0.787174176E+00-0.786209395E+00-0.785264648E+00-0.784339396E+00-0.783432606E+00 --0.782545512E+00-0.781677193E+00-0.780827649E+00-0.779996831E+00-0.779183623E+00 --0.778388554E+00-0.777612059E+00-0.776853262E+00-0.776112083E+00-0.775388522E+00 --0.774682400E+00-0.773993179E+00-0.773320832E+00-0.772665771E+00-0.772027856E+00 --0.771406635E+00-0.770801863E+00-0.770213832E+00-0.769642534E+00-0.769087617E+00 --0.768548733E+00-0.768027178E+00-0.767521883E+00-0.767032810E+00-0.766559960E+00 --0.766103333E+00-0.765662975E+00-0.765239384E+00-0.764832258E+00-0.764441633E+00 --0.764067510E+00-0.763709889E+00-0.763368770E+00-0.763044467E+00-0.762736506E+00 --0.762445532E+00-0.762171276E+00-0.761913726E+00-0.761672883E+00-0.761448746E+00 --0.761241281E+00-0.761050211E+00-0.760875620E+00-0.760717659E+00-0.760576138E+00 --0.760451057E+00-0.760342416E+00-0.760249903E+00-0.760173561E+00-0.760113425E+00 --0.760069289E+00-0.760041113E+00-0.760028897E+00-0.760032641E+00-0.760052167E+00 --0.760086982E+00-0.760137177E+00-0.760202849E+00-0.760283691E+00-0.760379702E+00 --0.760490879E+00-0.760616804E+00-0.760757316E+00-0.760912448E+00-0.761082016E+00 --0.761265834E+00-0.761463902E+00-0.761676220E+00-0.761901989E+00-0.762141161E+00 --0.762394174E+00-0.762660270E+00-0.762939211E+00-0.763230997E+00-0.763535629E+00 --0.763853062E+00-0.764181675E+00-0.764522331E+00-0.764874519E+00-0.765237786E+00 --0.765612132E+00-0.765997557E+00-0.766393141E+00-0.766798412E+00-0.767212647E+00 --0.767636531E+00-0.768073991E+00-0.768525283E+00-0.768981459E+00-0.769442519E+00 --0.769908464E+00-0.770379292E+00-0.770855005E+00-0.771335602E+00-0.771821083E+00 --0.772311448E+00-0.772806698E+00-0.773306831E+00-0.773811849E+00-0.774321751E+00 --0.774837640E+00-0.775359415E+00-0.775886880E+00-0.776420036E+00-0.776930966E+00 --0.777473722E+00-0.778020173E+00-0.778561004E+00-0.779096216E+00-0.779625808E+00 --0.780149782E+00-0.780668136E+00-0.781180871E+00-0.781687986E+00-0.782189482E+00 --0.782685359E+00-0.783175616E+00-0.783660254E+00-0.784139273E+00-0.784612673E+00 --0.785080453E+00-0.785542614E+00-0.785999156E+00-0.786450078E+00-0.786895381E+00 --0.787335065E+00-0.787769129E+00-0.788197574E+00-0.788620400E+00-0.789031376E+00 --0.789371661E+00-0.789785594E+00-0.790245054E+00-0.790750783E+00-0.791303061E+00 --0.791901886E+00-0.792547259E+00-0.793239180E+00-0.793977648E+00-0.794762664E+00 --0.795594228E+00-0.796470423E+00-0.797386044E+00-0.798340940E+00-0.799335112E+00 --0.800368560E+00-0.801444123E+00-0.802564866E+00-0.803729367E+00-0.804937629E+00 --0.806189650E+00-0.807485431E+00-0.808824330E+00-0.810203853E+00-0.811624116E+00 --0.813085120E+00-0.814586864E+00-0.816129348E+00-0.817712573E+00-0.819336537E+00 --0.821001243E+00-0.822706688E+00-0.824462110E+00-0.826263703E+00-0.828107501E+00 --0.829993042E+00-0.831926308E+00-0.833899294E+00-0.835920880E+00-0.837991066E+00 --0.998896182E+00-0.997851594E+00-0.996902725E+00-0.996053398E+00-0.995297312E+00 --0.994634466E+00-0.994064861E+00-0.993588498E+00-0.993205375E+00-0.992915492E+00 --0.992718851E+00-0.992615450E+00-0.992605291E+00-0.992688372E+00-0.992864694E+00 --0.993134257E+00-0.993536246E+00-0.993969601E+00-0.994272152E+00-0.994453513E+00 --0.994541078E+00-0.994534848E+00-0.994434822E+00-0.994241001E+00-0.993953385E+00 --0.993571973E+00-0.993096766E+00-0.992527763E+00-0.991874278E+00-0.991134683E+00 --0.990304458E+00-0.989383602E+00-0.988372117E+00-0.987270001E+00-0.986077254E+00 --0.984792385E+00-0.983410340E+00-0.981948361E+00-0.980375707E+00-0.978672651E+00 --0.976864459E+00-0.974952555E+00-0.972936940E+00-0.970817613E+00-0.968594575E+00 --0.966267826E+00-0.963837365E+00-0.961303193E+00-0.958662909E+00-0.955879454E+00 --0.952941214E+00-0.949848189E+00-0.946600380E+00-0.943197786E+00-0.939640408E+00 --0.935928024E+00-0.932073776E+00-0.928100086E+00-0.924199924E+00-0.920414855E+00 --0.916719420E+00-0.913113618E+00-0.909597451E+00-0.906170917E+00-0.902834017E+00 --0.899586750E+00-0.896429117E+00-0.893361118E+00-0.890382753E+00-0.887494021E+00 --0.884691420E+00-0.881909268E+00-0.879175032E+00-0.876488711E+00-0.873850307E+00 --0.871259819E+00-0.868717247E+00-0.866222590E+00-0.863775850E+00-0.861367405E+00 --0.859025580E+00-0.856731727E+00-0.854488397E+00-0.852290597E+00-0.850134121E+00 --0.848018561E+00-0.845943121E+00-0.843907811E+00-0.841911368E+00-0.839954244E+00 --0.838035025E+00-0.836150345E+00-0.834300205E+00-0.832484405E+00-0.830702738E+00 --0.828951411E+00-0.827230963E+00-0.825544585E+00-0.823889716E+00-0.822266355E+00 --0.820673434E+00-0.819108076E+00-0.817570249E+00-0.816059953E+00-0.814577188E+00 --0.813122024E+00-0.811694058E+00-0.810291871E+00-0.808915463E+00-0.807564834E+00 --0.806239593E+00-0.804938527E+00-0.803661693E+00-0.802409012E+00-0.801179437E+00 --0.799972643E+00-0.798788270E+00-0.797627431E+00-0.796489904E+00-0.795373923E+00 --0.794279145E+00-0.793205495E+00-0.792152546E+00-0.791120368E+00-0.790109333E+00 --0.789118808E+00-0.788148291E+00-0.787197519E+00-0.786267159E+00-0.785356715E+00 --0.784465141E+00-0.783592476E+00-0.782738606E+00-0.781903507E+00-0.781087734E+00 --0.780290126E+00-0.779510658E+00-0.778749328E+00-0.778005969E+00-0.777279761E+00 --0.776571510E+00-0.775880801E+00-0.775207663E+00-0.774552220E+00-0.773914087E+00 --0.773292608E+00-0.772688139E+00-0.772100828E+00-0.771530500E+00-0.770976536E+00 --0.770439384E+00-0.769919316E+00-0.769416309E+00-0.768929594E+00-0.768459102E+00 --0.768004972E+00-0.767567822E+00-0.767147542E+00-0.766743966E+00-0.766356889E+00 --0.765986313E+00-0.765632438E+00-0.765295352E+00-0.764974951E+00-0.764671128E+00 --0.764384022E+00-0.764113645E+00-0.763859977E+00-0.763623016E+00-0.763402802E+00 --0.763199212E+00-0.763012062E+00-0.762841353E+00-0.762687085E+00-0.762549309E+00 --0.762428141E+00-0.762323024E+00-0.762234044E+00-0.762161237E+00-0.762104602E+00 --0.762064081E+00-0.762039181E+00-0.762030263E+00-0.762037409E+00-0.762059896E+00 --0.762097725E+00-0.762150895E+00-0.762219468E+00-0.762303542E+00-0.762402819E+00 --0.762516638E+00-0.762645000E+00-0.762787904E+00-0.762945350E+00-0.763117339E+00 --0.763303731E+00-0.763504503E+00-0.763718621E+00-0.763946210E+00-0.764187269E+00 --0.764441798E+00-0.764709764E+00-0.764990117E+00-0.765283315E+00-0.765589358E+00 --0.765907924E+00-0.766237936E+00-0.766579352E+00-0.766932172E+00-0.767296075E+00 --0.767670849E+00-0.768056355E+00-0.768452705E+00-0.768859362E+00-0.769275220E+00 --0.769700251E+00-0.770136766E+00-0.770587339E+00-0.771042797E+00-0.771503139E+00 --0.771967588E+00-0.772436379E+00-0.772910860E+00-0.773391031E+00-0.773876892E+00 --0.774368442E+00-0.774865683E+00-0.775368614E+00-0.775877234E+00-0.776391545E+00 --0.776911545E+00-0.777437236E+00-0.777968616E+00-0.778500925E+00-0.778999026E+00 --0.779502633E+00-0.780058289E+00-0.780608326E+00-0.781152744E+00-0.781691542E+00 --0.782224721E+00-0.782752280E+00-0.783274220E+00-0.783790541E+00-0.784301243E+00 --0.784806325E+00-0.785305788E+00-0.785799632E+00-0.786287856E+00-0.786770462E+00 --0.787247447E+00-0.787718814E+00-0.788184561E+00-0.788644689E+00-0.789099197E+00 --0.789548087E+00-0.789991357E+00-0.790429007E+00-0.790836962E+00-0.791195679E+00 --0.791552092E+00-0.791956895E+00-0.792423880E+00-0.792936371E+00-0.793494368E+00 --0.794097873E+00-0.794745471E+00-0.795438811E+00-0.796178698E+00-0.796965133E+00 --0.797798116E+00-0.798677967E+00-0.799599547E+00-0.800560403E+00-0.801561209E+00 --0.802608265E+00-0.803699080E+00-0.804833654E+00-0.806011989E+00-0.807234083E+00 --0.808499936E+00-0.809809550E+00-0.811162923E+00-0.812559081E+00-0.813996037E+00 --0.815473733E+00-0.816992169E+00-0.818551346E+00-0.820151263E+00-0.821791921E+00 --0.823477921E+00-0.825210692E+00-0.826987490E+00-0.828808315E+00-0.830670535E+00 --0.832578031E+00-0.834534301E+00-0.836538821E+00-0.838586418E+00-0.840682614E+00 --0.100194808E+01-0.100092486E+01-0.999994883E+00-0.999158145E+00-0.998414648E+00 --0.997764391E+00-0.997207376E+00-0.996743601E+00-0.996373067E+00-0.996095774E+00 --0.995911722E+00-0.995820911E+00-0.995823340E+00-0.995919011E+00-0.996107922E+00 --0.996390074E+00-0.996797488E+00-0.997224161E+00-0.997557337E+00-0.997797017E+00 --0.997932628E+00-0.997941598E+00-0.997856773E+00-0.997678153E+00-0.997405737E+00 --0.997039526E+00-0.996579519E+00-0.996025717E+00-0.995381746E+00-0.994648260E+00 --0.993824144E+00-0.992909397E+00-0.991904020E+00-0.990807289E+00-0.989613079E+00 --0.988322085E+00-0.986934307E+00-0.985463013E+00-0.983887791E+00-0.982197796E+00 --0.980393028E+00-0.978471042E+00-0.976432312E+00-0.974289871E+00-0.972043719E+00 --0.969693855E+00-0.967240280E+00-0.964682993E+00-0.962005445E+00-0.959174053E+00 --0.956187877E+00-0.953046917E+00-0.949750726E+00-0.946309150E+00-0.942727999E+00 --0.939007273E+00-0.935146972E+00-0.931174975E+00-0.927262866E+00-0.923432914E+00 --0.919694772E+00-0.916049338E+00-0.912493538E+00-0.909027372E+00-0.905650840E+00 --0.902363941E+00-0.899166676E+00-0.896059045E+00-0.893041047E+00-0.890112683E+00 --0.887262462E+00-0.884456242E+00-0.881697938E+00-0.878987550E+00-0.876325077E+00 --0.873710521E+00-0.871143881E+00-0.868625157E+00-0.866158767E+00-0.863758479E+00 --0.861398827E+00-0.859085877E+00-0.856823451E+00-0.854604528E+00-0.852431439E+00 --0.850300426E+00-0.848209542E+00-0.846158788E+00-0.844148163E+00-0.842174431E+00 --0.840239511E+00-0.838339131E+00-0.836473289E+00-0.834641988E+00-0.832845466E+00 --0.831083523E+00-0.829353599E+00-0.827654545E+00-0.825987000E+00-0.824350963E+00 --0.822746001E+00-0.821168632E+00-0.819618864E+00-0.818097796E+00-0.816605617E+00 --0.815142221E+00-0.813705190E+00-0.812293715E+00-0.810907799E+00-0.809546988E+00 --0.808212802E+00-0.806903171E+00-0.805617697E+00-0.804356381E+00-0.803118563E+00 --0.801903779E+00-0.800712621E+00-0.799545015E+00-0.798400766E+00-0.797278010E+00 --0.796176461E+00-0.795097445E+00-0.794039201E+00-0.793001729E+00-0.791985031E+00 --0.790990001E+00-0.790014287E+00-0.789059115E+00-0.788124355E+00-0.787210003E+00 --0.786315027E+00-0.785438959E+00-0.784581800E+00-0.783743739E+00-0.782925098E+00 --0.782125097E+00-0.781343368E+00-0.780579912E+00-0.779834729E+00-0.779107818E+00 --0.778398308E+00-0.777707445E+00-0.777034060E+00-0.776378257E+00-0.775740122E+00 --0.775119001E+00-0.774515396E+00-0.773928945E+00-0.773359653E+00-0.772807530E+00 --0.772272324E+00-0.771754205E+00-0.771253169E+00-0.770768843E+00-0.770300992E+00 --0.769850209E+00-0.769416297E+00-0.768999254E+00-0.768599072E+00-0.768215559E+00 --0.767848829E+00-0.767498882E+00-0.767165718E+00-0.766849392E+00-0.766549792E+00 --0.766266911E+00-0.766000748E+00-0.765751064E+00-0.765518189E+00-0.765302078E+00 --0.765102413E+00-0.764919297E+00-0.764752734E+00-0.764602726E+00-0.764469280E+00 --0.764352230E+00-0.764251228E+00-0.764166275E+00-0.764097370E+00-0.764044514E+00 --0.764007624E+00-0.763986823E+00-0.763981904E+00-0.763992310E+00-0.764018167E+00 --0.764059491E+00-0.764116284E+00-0.764188544E+00-0.764276240E+00-0.764378721E+00 --0.764495744E+00-0.764627309E+00-0.764773369E+00-0.764933902E+00-0.765108922E+00 --0.765298505E+00-0.765502533E+00-0.765719682E+00-0.765949952E+00-0.766193343E+00 --0.766449854E+00-0.766719487E+00-0.767002607E+00-0.767298542E+00-0.767606662E+00 --0.767926633E+00-0.768258156E+00-0.768601496E+00-0.768956655E+00-0.769323079E+00 --0.769699467E+00-0.770086315E+00-0.770484008E+00-0.770892051E+00-0.771309322E+00 --0.771735362E+00-0.772170008E+00-0.772612112E+00-0.773067057E+00-0.773528383E+00 --0.773995400E+00-0.774468106E+00-0.774946502E+00-0.775430588E+00-0.775920364E+00 --0.776415830E+00-0.776916986E+00-0.777423832E+00-0.777936367E+00-0.778454593E+00 --0.778978509E+00-0.779508114E+00-0.780043410E+00-0.780559882E+00-0.781069782E+00 --0.781583938E+00-0.782110322E+00-0.782669564E+00-0.783223187E+00-0.783771191E+00 --0.784313576E+00-0.784850341E+00-0.785381486E+00-0.785907013E+00-0.786426920E+00 --0.786941208E+00-0.787449877E+00-0.787952926E+00-0.788450356E+00-0.788942166E+00 --0.789428358E+00-0.789908930E+00-0.790383882E+00-0.790853216E+00-0.791316930E+00 --0.791775025E+00-0.792227500E+00-0.792640716E+00-0.793027850E+00-0.793405334E+00 --0.793778212E+00-0.794189569E+00-0.794657300E+00-0.795177334E+00-0.795742876E+00 --0.796353924E+00-0.797010479E+00-0.797712541E+00-0.798460109E+00-0.799253184E+00 --0.800087790E+00-0.800968739E+00-0.801896192E+00-0.802868225E+00-0.803885353E+00 --0.804946241E+00-0.806050889E+00-0.807199296E+00-0.808391463E+00-0.809627389E+00 --0.810907075E+00-0.812230521E+00-0.813597727E+00-0.815008827E+00-0.816462475E+00 --0.817956864E+00-0.819491993E+00-0.821067863E+00-0.822686028E+00-0.824349978E+00 --0.826057955E+00-0.827809958E+00-0.829605988E+00-0.831446045E+00-0.833327808E+00 --0.835257260E+00-0.837235485E+00-0.839262483E+00-0.841338107E+00-0.843460314E+00 --0.100460530E+01-0.100360917E+01-0.100270200E+01-0.100187786E+01-0.100114695E+01 --0.100050928E+01-0.999964855E+00-0.999513669E+00-0.999155725E+00-0.998891021E+00 --0.998719558E+00-0.998641336E+00-0.998656354E+00-0.998764614E+00-0.998966114E+00 --0.999260855E+00-0.999673694E+00-0.100009369E+01-0.100042018E+01-0.100065318E+01 --0.100079268E+01-0.100083868E+01-0.100079119E+01-0.100062978E+01-0.100037257E+01 --0.100002156E+01-0.999576753E+00-0.999038152E+00-0.998402835E+00-0.997675458E+00 --0.996857450E+00-0.995948812E+00-0.994942568E+00-0.993839409E+00-0.992639466E+00 --0.991342740E+00-0.989949229E+00-0.988468100E+00-0.986890310E+00-0.985197747E+00 --0.983390412E+00-0.981468305E+00-0.979431425E+00-0.977279773E+00-0.975013302E+00 --0.972640324E+00-0.970163635E+00-0.967581085E+00-0.964856542E+00-0.961977214E+00 --0.958948351E+00-0.955779873E+00-0.952471820E+00-0.949024192E+00-0.945436989E+00 --0.941710211E+00-0.937843858E+00-0.933873553E+00-0.929966751E+00-0.926142107E+00 --0.922399622E+00-0.918739101E+00-0.915143669E+00-0.911637871E+00-0.908221706E+00 --0.904895175E+00-0.901658278E+00-0.898511015E+00-0.895453385E+00-0.892485388E+00 --0.889603386E+00-0.886773098E+00-0.883990726E+00-0.881256270E+00-0.878569730E+00 --0.875931106E+00-0.873344963E+00-0.870829223E+00-0.868368929E+00-0.865963151E+00 --0.863595399E+00-0.861272328E+00-0.858993728E+00-0.856762435E+00-0.854575555E+00 --0.852428282E+00-0.850323123E+00-0.848260076E+00-0.846239143E+00-0.844252968E+00 --0.842303341E+00-0.840392214E+00-0.838516398E+00-0.836675893E+00-0.834870699E+00 --0.833096511E+00-0.831353767E+00-0.829646473E+00-0.827970073E+00-0.826324210E+00 --0.824708884E+00-0.823121243E+00-0.821562747E+00-0.820033281E+00-0.818532705E+00 --0.817060890E+00-0.815615453E+00-0.814195573E+00-0.812802077E+00-0.811434535E+00 --0.810092901E+00-0.808776230E+00-0.807483706E+00-0.806215398E+00-0.804972023E+00 --0.803752320E+00-0.802555196E+00-0.801380853E+00-0.800230033E+00-0.799100540E+00 --0.797994641E+00-0.796910331E+00-0.795846738E+00-0.794804894E+00-0.793785091E+00 --0.792786581E+00-0.791807848E+00-0.790849225E+00-0.789910713E+00-0.788992352E+00 --0.788094108E+00-0.787215529E+00-0.786356639E+00-0.785516456E+00-0.784695304E+00 --0.783893398E+00-0.783110596E+00-0.782346066E+00-0.781599795E+00-0.780871751E+00 --0.780162264E+00-0.779471334E+00-0.778798462E+00-0.778143080E+00-0.777505167E+00 --0.776884724E+00-0.776282395E+00-0.775697460E+00-0.775129863E+00-0.774579734E+00 --0.774046736E+00-0.773530789E+00-0.773031911E+00-0.772550494E+00-0.772085580E+00 --0.771638179E+00-0.771207752E+00-0.770794300E+00-0.770397726E+00-0.770017899E+00 --0.769655056E+00-0.769309031E+00-0.768979968E+00-0.768667875E+00-0.768372500E+00 --0.768093843E+00-0.767832050E+00-0.767586992E+00-0.767358601E+00-0.767146948E+00 --0.766951784E+00-0.766773109E+00-0.766610923E+00-0.766465263E+00-0.766336151E+00 --0.766223240E+00-0.766126454E+00-0.766045773E+00-0.765981197E+00-0.765932727E+00 --0.765900363E+00-0.765884112E+00-0.765883612E+00-0.765898416E+00-0.765928525E+00 --0.765973937E+00-0.766034654E+00-0.766110675E+00-0.766201908E+00-0.766308229E+00 --0.766429038E+00-0.766564333E+00-0.766714116E+00-0.766878386E+00-0.767057144E+00 --0.767250408E+00-0.767457588E+00-0.767677889E+00-0.767911306E+00-0.768157937E+00 --0.768417832E+00-0.768690992E+00-0.768977417E+00-0.769276821E+00-0.769587491E+00 --0.769910010E+00-0.770244507E+00-0.770590823E+00-0.770948976E+00-0.771318319E+00 --0.771697782E+00-0.772087363E+00-0.772487050E+00-0.772896489E+00-0.773315498E+00 --0.773744185E+00-0.774182957E+00-0.774630455E+00-0.775085028E+00-0.775546676E+00 --0.776016269E+00-0.776492891E+00-0.776975202E+00-0.777463203E+00-0.777956894E+00 --0.778456275E+00-0.778961346E+00-0.779472107E+00-0.779988558E+00-0.780510699E+00 --0.781038530E+00-0.781572050E+00-0.782104095E+00-0.782621535E+00-0.783143232E+00 --0.783669186E+00-0.784199398E+00-0.784744719E+00-0.785307547E+00-0.785864757E+00 --0.786416347E+00-0.786962317E+00-0.787502669E+00-0.788037401E+00-0.788566513E+00 --0.789090007E+00-0.789607881E+00-0.790120136E+00-0.790626771E+00-0.791127787E+00 --0.791623184E+00-0.792112962E+00-0.792597120E+00-0.793075659E+00-0.793548579E+00 --0.794015879E+00-0.794442639E+00-0.794858190E+00-0.795264090E+00-0.795660339E+00 --0.796049683E+00-0.796473971E+00-0.796946529E+00-0.797472874E+00-0.798045959E+00 --0.798664551E+00-0.799328650E+00-0.800038255E+00-0.800793367E+00-0.801593995E+00 --0.802441813E+00-0.803337591E+00-0.804282172E+00-0.805272051E+00-0.806305091E+00 --0.807381070E+00-0.808499550E+00-0.809661790E+00-0.810867790E+00-0.812117549E+00 --0.813411067E+00-0.814748346E+00-0.816129384E+00-0.817554181E+00-0.819023433E+00 --0.820534514E+00-0.822086433E+00-0.823681562E+00-0.825320717E+00-0.827003898E+00 --0.828731107E+00-0.830502343E+00-0.832317605E+00-0.834176688E+00-0.836079322E+00 --0.838030730E+00-0.840030910E+00-0.842079863E+00-0.844177590E+00-0.846324165E+00 --0.100695711E+01-0.100595096E+01-0.100503889E+01-0.100422089E+01-0.100349698E+01 --0.100286913E+01-0.100233730E+01-0.100189870E+01-0.100155335E+01-0.100130123E+01 --0.100114236E+01-0.100107672E+01-0.100110433E+01-0.100122518E+01-0.100143927E+01 --0.100174660E+01-0.100216486E+01-0.100257817E+01-0.100289799E+01-0.100312431E+01 --0.100325713E+01-0.100329645E+01-0.100324227E+01-0.100309460E+01-0.100285344E+01 --0.100251807E+01-0.100208847E+01-0.100156507E+01-0.100093754E+01-0.100021628E+01 --0.999398806E+00-0.998483483E+00-0.997471376E+00-0.996362485E+00-0.995156810E+00 --0.993854351E+00-0.992455108E+00-0.990963621E+00-0.989383264E+00-0.987688133E+00 --0.985878231E+00-0.983953556E+00-0.981914109E+00-0.979759889E+00-0.977490897E+00 --0.975107132E+00-0.972608595E+00-0.969991380E+00-0.967235574E+00-0.964340194E+00 --0.961305239E+00-0.958130709E+00-0.954816604E+00-0.951362924E+00-0.947769669E+00 --0.944036839E+00-0.940164435E+00-0.936195821E+00-0.932294326E+00-0.928474990E+00 --0.924737811E+00-0.921082791E+00-0.917509929E+00-0.914002413E+00-0.910546616E+00 --0.907180453E+00-0.903903924E+00-0.900717028E+00-0.897619766E+00-0.894616464E+00 --0.891714192E+00-0.888859836E+00-0.886053397E+00-0.883294873E+00-0.880588716E+00 --0.877956804E+00-0.875380338E+00-0.872859317E+00-0.870393742E+00-0.867982474E+00 --0.865606602E+00-0.863275577E+00-0.860991032E+00-0.858753000E+00-0.856555985E+00 --0.854400770E+00-0.852287667E+00-0.850216678E+00-0.848186111E+00-0.846192434E+00 --0.844235842E+00-0.842316305E+00-0.840431300E+00-0.838581605E+00-0.836767489E+00 --0.834987028E+00-0.833238799E+00-0.831522800E+00-0.829838207E+00-0.828184071E+00 --0.826561002E+00-0.824968002E+00-0.823403265E+00-0.821866793E+00-0.820358186E+00 --0.818877960E+00-0.817425167E+00-0.815999812E+00-0.814600343E+00-0.813226760E+00 --0.811879063E+00-0.810556588E+00-0.809258595E+00-0.807985536E+00-0.806737412E+00 --0.805513500E+00-0.804312194E+00-0.803133466E+00-0.801977316E+00-0.800843807E+00 --0.799732705E+00-0.798643643E+00-0.797576621E+00-0.796531640E+00-0.795508699E+00 --0.794506932E+00-0.793525225E+00-0.792563632E+00-0.791622589E+00-0.790702389E+00 --0.789802181E+00-0.788921561E+00-0.788060944E+00-0.787219683E+00-0.786397597E+00 --0.785594687E+00-0.784810952E+00-0.784045949E+00-0.783299564E+00-0.782571736E+00 --0.781862465E+00-0.781171750E+00-0.780499592E+00-0.779844830E+00-0.779207887E+00 --0.778589189E+00-0.777988400E+00-0.777405294E+00-0.776839433E+00-0.776291643E+00 --0.775760842E+00-0.775247457E+00-0.774751687E+00-0.774273515E+00-0.773812096E+00 --0.773368062E+00-0.772941318E+00-0.772531553E+00-0.772138865E+00-0.771763297E+00 --0.771404653E+00-0.771062884E+00-0.770738105E+00-0.770430208E+00-0.770139249E+00 --0.769865229E+00-0.769608139E+00-0.769367722E+00-0.769144043E+00-0.768937102E+00 --0.768746727E+00-0.768572841E+00-0.768415445E+00-0.768274439E+00-0.768149913E+00 --0.768041936E+00-0.767950217E+00-0.767874438E+00-0.767814599E+00-0.767770700E+00 --0.767742898E+00-0.767731197E+00-0.767735115E+00-0.767754338E+00-0.767788905E+00 --0.767838955E+00-0.767904495E+00-0.767985523E+00-0.768081194E+00-0.768191509E+00 --0.768316927E+00-0.768456785E+00-0.768611061E+00-0.768779756E+00-0.768962665E+00 --0.769159360E+00-0.769370440E+00-0.769595058E+00-0.769832537E+00-0.770083215E+00 --0.770347158E+00-0.770624365E+00-0.770914837E+00-0.771218035E+00-0.771532881E+00 --0.771859413E+00-0.772197632E+00-0.772547279E+00-0.772908953E+00-0.773281294E+00 --0.773663998E+00-0.774057453E+00-0.774461658E+00-0.774875643E+00-0.775298536E+00 --0.775730697E+00-0.776173595E+00-0.776626487E+00-0.777086454E+00-0.777553497E+00 --0.778027614E+00-0.778508807E+00-0.778996960E+00-0.779488876E+00-0.779986482E+00 --0.780489778E+00-0.780998764E+00-0.781513441E+00-0.782033807E+00-0.782559863E+00 --0.783091608E+00-0.783629044E+00-0.784156645E+00-0.784685882E+00-0.785219377E+00 --0.785757129E+00-0.786299138E+00-0.786845406E+00-0.787405824E+00-0.787972238E+00 --0.788533034E+00-0.789088210E+00-0.789637767E+00-0.790181704E+00-0.790720023E+00 --0.791252722E+00-0.791779801E+00-0.792301262E+00-0.792817103E+00-0.793327324E+00 --0.793831927E+00-0.794330910E+00-0.794824274E+00-0.795312018E+00-0.795789112E+00 --0.796242730E+00-0.796686697E+00-0.797121014E+00-0.797545680E+00-0.797960696E+00 --0.798366506E+00-0.798803723E+00-0.799289211E+00-0.799822988E+00-0.800400581E+00 --0.801025746E+00-0.801698871E+00-0.802419957E+00-0.803189003E+00-0.804006010E+00 --0.804870977E+00-0.805783905E+00-0.806744793E+00-0.807751872E+00-0.808802141E+00 --0.809895572E+00-0.811032164E+00-0.812211918E+00-0.813434834E+00-0.814700911E+00 --0.816010151E+00-0.817362552E+00-0.818758114E+00-0.820196839E+00-0.821678913E+00 --0.823205442E+00-0.824775776E+00-0.826390136E+00-0.828048523E+00-0.829750937E+00 --0.831497378E+00-0.833287846E+00-0.835122340E+00-0.837000487E+00-0.838925077E+00 --0.840898439E+00-0.842920575E+00-0.844991484E+00-0.847111166E+00-0.849279621E+00 --0.100904745E+01-0.100803128E+01-0.100710919E+01-0.100628119E+01-0.100554726E+01 --0.100490741E+01-0.100436164E+01-0.100390995E+01-0.100356593E+01-0.100332641E+01 --0.100318012E+01-0.100312708E+01-0.100316728E+01-0.100330071E+01-0.100352739E+01 --0.100384731E+01-0.100427100E+01-0.100467763E+01-0.100499076E+01-0.100521040E+01 --0.100533653E+01-0.100536918E+01-0.100530832E+01-0.100515397E+01-0.100490612E+01 --0.100456477E+01-0.100412993E+01-0.100360646E+01-0.100298179E+01-0.100225431E+01 --0.100143004E+01-0.100050898E+01-0.999491141E+00-0.998376517E+00-0.997165110E+00 --0.995856919E+00-0.994451943E+00-0.992950184E+00-0.991366653E+00-0.989668955E+00 --0.987856485E+00-0.985929242E+00-0.983887227E+00-0.981730440E+00-0.979458880E+00 --0.977069004E+00-0.974565014E+00-0.971957961E+00-0.969219547E+00-0.966326824E+00 --0.963285817E+00-0.960105235E+00-0.956785078E+00-0.953325346E+00-0.949726039E+00 --0.945987157E+00-0.942108700E+00-0.938141779E+00-0.934245591E+00-0.930431562E+00 --0.926699691E+00-0.923049978E+00-0.919482423E+00-0.915997026E+00-0.912593787E+00 --0.909219774E+00-0.905903613E+00-0.902677085E+00-0.899540190E+00-0.896521221E+00 --0.893594881E+00-0.890716457E+00-0.887890025E+00-0.885141941E+00-0.882449302E+00 --0.879812109E+00-0.877230362E+00-0.874704061E+00-0.872233205E+00-0.869816446E+00 --0.867438434E+00-0.865107406E+00-0.862821812E+00-0.860581749E+00-0.858382459E+00 --0.856223456E+00-0.854104739E+00-0.852027517E+00-0.849990950E+00-0.847991469E+00 --0.846029072E+00-0.844103761E+00-0.842215535E+00-0.840358609E+00-0.838540045E+00 --0.836754098E+00-0.835000383E+00-0.833278899E+00-0.831589646E+00-0.829929526E+00 --0.828301025E+00-0.826702690E+00-0.825132619E+00-0.823590886E+00-0.822078236E+00 --0.820593918E+00-0.819135860E+00-0.817705351E+00-0.816301336E+00-0.814923815E+00 --0.813572787E+00-0.812247087E+00-0.810945293E+00-0.809667675E+00-0.808414801E+00 --0.807186581E+00-0.805981093E+00-0.804798422E+00-0.803639350E+00-0.802503979E+00 --0.801391102E+00-0.800299785E+00-0.799230031E+00-0.798181921E+00-0.797155846E+00 --0.796151104E+00-0.795167074E+00-0.794203887E+00-0.793261542E+00-0.792340039E+00 --0.791438504E+00-0.790557116E+00-0.789695746E+00-0.788853513E+00-0.788030771E+00 --0.787227763E+00-0.786444082E+00-0.785679118E+00-0.784933488E+00-0.784206781E+00 --0.783498406E+00-0.782808363E+00-0.782136652E+00-0.781483230E+00-0.780848331E+00 --0.780231521E+00-0.779632674E+00-0.779051790E+00-0.778488299E+00-0.777942982E+00 --0.777415181E+00-0.776904990E+00-0.776412415E+00-0.775937455E+00-0.775479845E+00 --0.775039620E+00-0.774616779E+00-0.774210951E+00-0.773822188E+00-0.773450880E+00 --0.773096544E+00-0.772759525E+00-0.772439591E+00-0.772136522E+00-0.771850331E+00 --0.771581018E+00-0.771328732E+00-0.771093253E+00-0.770874511E+00-0.770672508E+00 --0.770487207E+00-0.770318416E+00-0.770166109E+00-0.770030287E+00-0.769910950E+00 --0.769808097E+00-0.769721587E+00-0.769650991E+00-0.769596334E+00-0.769557617E+00 --0.769534895E+00-0.769528218E+00-0.769537043E+00-0.769561268E+00-0.769600980E+00 --0.769656180E+00-0.769726869E+00-0.769812923E+00-0.769913748E+00-0.770029264E+00 --0.770159472E+00-0.770304169E+00-0.770463242E+00-0.770636783E+00-0.770824399E+00 --0.771026089E+00-0.771241853E+00-0.771471512E+00-0.771714244E+00-0.771969948E+00 --0.772238623E+00-0.772520242E+00-0.772814761E+00-0.773122094E+00-0.773441103E+00 --0.773772025E+00-0.774114929E+00-0.774469814E+00-0.774836026E+00-0.775212820E+00 --0.775600482E+00-0.775998896E+00-0.776408060E+00-0.776827390E+00-0.777256023E+00 --0.777694070E+00-0.778141921E+00-0.778600207E+00-0.779065569E+00-0.779538006E+00 --0.780017518E+00-0.780504105E+00-0.780997768E+00-0.781498505E+00-0.782006317E+00 --0.782516339E+00-0.783029240E+00-0.783547832E+00-0.784072113E+00-0.784602084E+00 --0.785137745E+00-0.785675112E+00-0.786211890E+00-0.786752924E+00-0.787298217E+00 --0.787847767E+00-0.788401574E+00-0.788959639E+00-0.789521961E+00-0.790093636E+00 --0.790663637E+00-0.791228019E+00-0.791786781E+00-0.792339924E+00-0.792887448E+00 --0.793429353E+00-0.793965638E+00-0.794496304E+00-0.795021350E+00-0.795540778E+00 --0.796054585E+00-0.796562774E+00-0.797065343E+00-0.797558955E+00-0.798040989E+00 --0.798513373E+00-0.798976106E+00-0.799429189E+00-0.799872621E+00-0.800306403E+00 --0.800728678E+00-0.801178826E+00-0.801677245E+00-0.802222332E+00-0.802813586E+00 --0.803451710E+00-0.804141984E+00-0.804880219E+00-0.805666414E+00-0.806500570E+00 --0.807382686E+00-0.808312763E+00-0.809290800E+00-0.810315538E+00-0.811383035E+00 --0.812493694E+00-0.813647516E+00-0.814844498E+00-0.816084643E+00-0.817367949E+00 --0.818694417E+00-0.820064046E+00-0.821476838E+00-0.822931164E+00-0.824426226E+00 --0.825969477E+00-0.827558328E+00-0.829191777E+00-0.830869448E+00-0.832591094E+00 --0.834356767E+00-0.836166467E+00-0.838020193E+00-0.839918526E+00-0.841865071E+00 --0.843860389E+00-0.845904481E+00-0.847996418E+00-0.850132547E+00-0.852315330E+00 --0.101087632E+01-0.100985014E+01-0.100891803E+01-0.100808001E+01-0.100733606E+01 --0.100668620E+01-0.100613042E+01-0.100566871E+01-0.100530108E+01-0.100502754E+01 --0.100484807E+01-0.100479240E+01-0.100484518E+01-0.100499121E+01-0.100523048E+01 --0.100556299E+01-0.100599210E+01-0.100639205E+01-0.100669850E+01-0.100691145E+01 --0.100703091E+01-0.100705687E+01-0.100698933E+01-0.100682830E+01-0.100656745E+01 --0.100619956E+01-0.100573082E+01-0.100516609E+01-0.100451650E+01-0.100377995E+01 --0.100295222E+01-0.100202543E+01-0.100100186E+01-0.999881506E+00-0.998664366E+00 --0.997350442E+00-0.995939735E+00-0.994432243E+00-0.992840477E+00-0.991140211E+00 --0.989325173E+00-0.987395363E+00-0.985350781E+00-0.983190361E+00-0.980910870E+00 --0.978526225E+00-0.976036426E+00-0.973441473E+00-0.970734797E+00-0.967876566E+00 --0.964864479E+00-0.961698535E+00-0.958377241E+00-0.954911457E+00-0.951306098E+00 --0.947561165E+00-0.943676656E+00-0.939711427E+00-0.935820546E+00-0.932011824E+00 --0.928285260E+00-0.924640854E+00-0.921078607E+00-0.917598517E+00-0.914200586E+00 --0.910884812E+00-0.907651197E+00-0.904391185E+00-0.901214658E+00-0.898195859E+00 --0.895248890E+00-0.892384633E+00-0.889575822E+00-0.886822457E+00-0.884124538E+00 --0.881477641E+00-0.878890614E+00-0.876363736E+00-0.873897006E+00-0.871488632E+00 --0.869109000E+00-0.866775508E+00-0.864488864E+00-0.862246770E+00-0.860045233E+00 --0.857884041E+00-0.855764471E+00-0.853687151E+00-0.851650428E+00-0.849650191E+00 --0.847686439E+00-0.845759173E+00-0.843867841E+00-0.842007308E+00-0.840186456E+00 --0.838397848E+00-0.836641257E+00-0.834916682E+00-0.833224122E+00-0.831560388E+00 --0.829927053E+00-0.828325001E+00-0.826752170E+00-0.825208558E+00-0.823694166E+00 --0.822208438E+00-0.820748626E+00-0.819314708E+00-0.817907197E+00-0.816526436E+00 --0.815172169E+00-0.813843724E+00-0.812539493E+00-0.811259409E+00-0.810003536E+00 --0.808771960E+00-0.807563818E+00-0.806379331E+00-0.805218500E+00-0.804081326E+00 --0.802967048E+00-0.801874346E+00-0.800803205E+00-0.799753626E+00-0.798724985E+00 --0.797718821E+00-0.796734120E+00-0.795770355E+00-0.794827338E+00-0.793905069E+00 --0.793003494E+00-0.792121805E+00-0.791259881E+00-0.790417730E+00-0.789595327E+00 --0.788792652E+00-0.788009344E+00-0.787245288E+00-0.786500484E+00-0.785774921E+00 --0.785067863E+00-0.784379099E+00-0.783708917E+00-0.783057593E+00-0.782425124E+00 --0.781810996E+00-0.781214830E+00-0.780636628E+00-0.780075911E+00-0.779533505E+00 --0.779009407E+00-0.778502824E+00-0.778013755E+00-0.777542137E+00-0.777088258E+00 --0.776652069E+00-0.776233247E+00-0.775831791E+00-0.775447534E+00-0.775080673E+00 --0.774731160E+00-0.774398980E+00-0.774084030E+00-0.773785982E+00-0.773504811E+00 --0.773240639E+00-0.772993561E+00-0.772763430E+00-0.772550050E+00-0.772353329E+00 --0.772173161E+00-0.772009729E+00-0.771863208E+00-0.771733074E+00-0.771619290E+00 --0.771521857E+00-0.771440773E+00-0.771375484E+00-0.771326337E+00-0.771293269E+00 --0.771276280E+00-0.771275357E+00-0.771289978E+00-0.771319956E+00-0.771365289E+00 --0.771425977E+00-0.771501964E+00-0.771593266E+00-0.771699288E+00-0.771820221E+00 --0.771956065E+00-0.772106504E+00-0.772270935E+00-0.772450299E+00-0.772643567E+00 --0.772850738E+00-0.773071813E+00-0.773306729E+00-0.773554433E+00-0.773815663E+00 --0.774090029E+00-0.774377529E+00-0.774676963E+00-0.774989169E+00-0.775314295E+00 --0.775650956E+00-0.775999266E+00-0.776359558E+00-0.776731685E+00-0.777114512E+00 --0.777507942E+00-0.777911633E+00-0.778325756E+00-0.778750432E+00-0.779184656E+00 --0.779627927E+00-0.780082902E+00-0.780549076E+00-0.781021639E+00-0.781500593E+00 --0.781985938E+00-0.782477672E+00-0.782976149E+00-0.783482281E+00-0.783995488E+00 --0.784515770E+00-0.785043127E+00-0.785575280E+00-0.786103477E+00-0.786637363E+00 --0.787176936E+00-0.787721254E+00-0.788269829E+00-0.788822662E+00-0.789379752E+00 --0.789941100E+00-0.790506705E+00-0.791076567E+00-0.791650688E+00-0.792229065E+00 --0.792808157E+00-0.793381744E+00-0.793949712E+00-0.794512060E+00-0.795068790E+00 --0.795619900E+00-0.796165391E+00-0.796705262E+00-0.797239514E+00-0.797768147E+00 --0.798291160E+00-0.798808555E+00-0.799326966E+00-0.799837416E+00-0.800338217E+00 --0.800829366E+00-0.801310866E+00-0.801782714E+00-0.802244913E+00-0.802697460E+00 --0.803136202E+00-0.803599281E+00-0.804116071E+00-0.804684693E+00-0.805299696E+00 --0.805961080E+00-0.806668845E+00-0.807423025E+00-0.808226370E+00-0.809077675E+00 --0.809976940E+00-0.810924165E+00-0.811919352E+00-0.812962498E+00-0.814047774E+00 --0.815175662E+00-0.816346712E+00-0.817560923E+00-0.818818296E+00-0.820118831E+00 --0.821462528E+00-0.822849386E+00-0.824278807E+00-0.825751330E+00-0.827267052E+00 --0.828828314E+00-0.830435214E+00-0.832086711E+00-0.833782807E+00-0.835523501E+00 --0.837308794E+00-0.839138207E+00-0.841011165E+00-0.842930806E+00-0.844898276E+00 --0.846912031E+00-0.848972441E+00-0.851079504E+00-0.853233221E+00-0.855433707E+00 --0.101244372E+01-0.101140752E+01-0.101046540E+01-0.100961736E+01-0.100886340E+01 --0.100820352E+01-0.100763772E+01-0.100716600E+01-0.100678836E+01-0.100650480E+01 --0.100631531E+01-0.100621991E+01-0.100621859E+01-0.100631135E+01-0.100654853E+01 --0.100689363E+01-0.100732816E+01-0.100772143E+01-0.100802120E+01-0.100822747E+01 --0.100833066E+01-0.100833093E+01-0.100823036E+01-0.100802895E+01-0.100772670E+01 --0.100732361E+01-0.100682152E+01-0.100623488E+01-0.100556129E+01-0.100480075E+01 --0.100395326E+01-0.100301881E+01-0.100199741E+01-0.100087745E+01-0.999654578E+00 --0.998334922E+00-0.996918482E+00-0.995405258E+00-0.993804736E+00-0.992101903E+00 --0.990284297E+00-0.988351919E+00-0.986298977E+00-0.984138832E+00-0.981873533E+00 --0.979503079E+00-0.977027472E+00-0.974446711E+00-0.971761608E+00-0.968937417E+00 --0.965959369E+00-0.962827465E+00-0.959541705E+00-0.956102089E+00-0.952508616E+00 --0.948758862E+00-0.944868302E+00-0.940904764E+00-0.937019191E+00-0.933215776E+00 --0.929494519E+00-0.925855421E+00-0.922298480E+00-0.918823698E+00-0.915431074E+00 --0.912120608E+00-0.908892300E+00-0.905746150E+00-0.902665311E+00-0.899668863E+00 --0.896729580E+00-0.893850446E+00-0.891031460E+00-0.888272623E+00-0.885573934E+00 --0.882935394E+00-0.880357002E+00-0.877838759E+00-0.875380664E+00-0.872980776E+00 --0.870607756E+00-0.868278200E+00-0.865992109E+00-0.863749993E+00-0.861550078E+00 --0.859392136E+00-0.857276167E+00-0.855202172E+00-0.853166418E+00-0.851166636E+00 --0.849203340E+00-0.847276434E+00-0.845384761E+00-0.843528133E+00-0.841706516E+00 --0.839917517E+00-0.838160534E+00-0.836435478E+00-0.834740754E+00-0.833077753E+00 --0.831446396E+00-0.829843324E+00-0.828268594E+00-0.826723241E+00-0.825207107E+00 --0.823720079E+00-0.822259789E+00-0.820825395E+00-0.819416896E+00-0.818034292E+00 --0.816677155E+00-0.815346116E+00-0.814039931E+00-0.812758743E+00-0.811502516E+00 --0.810270973E+00-0.809062640E+00-0.807877312E+00-0.806714929E+00-0.805575996E+00 --0.804460390E+00-0.803366302E+00-0.802293994E+00-0.801243957E+00-0.800215971E+00 --0.799210034E+00-0.798225825E+00-0.797262170E+00-0.796319054E+00-0.795396706E+00 --0.794495110E+00-0.793613956E+00-0.792752565E+00-0.791911082E+00-0.791089868E+00 --0.790288757E+00-0.789506875E+00-0.788744178E+00-0.788000665E+00-0.787276307E+00 --0.786571174E+00-0.785884513E+00-0.785216910E+00-0.784568164E+00-0.783938276E+00 --0.783326965E+00-0.782733481E+00-0.782158132E+00-0.781601194E+00-0.781062512E+00 --0.780542022E+00-0.780039146E+00-0.779553783E+00-0.779086416E+00-0.778636892E+00 --0.778205163E+00-0.777790924E+00-0.777394063E+00-0.777014830E+00-0.776653002E+00 --0.776308579E+00-0.775981283E+00-0.775671269E+00-0.775378372E+00-0.775102683E+00 --0.774844080E+00-0.774602565E+00-0.774377963E+00-0.774170134E+00-0.773979212E+00 --0.773805026E+00-0.773647577E+00-0.773506864E+00-0.773382622E+00-0.773274642E+00 --0.773183013E+00-0.773107879E+00-0.773048822E+00-0.773005761E+00-0.772978698E+00 --0.772967543E+00-0.772972447E+00-0.772992859E+00-0.773028744E+00-0.773080191E+00 --0.773147198E+00-0.773229592E+00-0.773326797E+00-0.773438866E+00-0.773565859E+00 --0.773707763E+00-0.773864220E+00-0.774035035E+00-0.774220364E+00-0.774419812E+00 --0.774633164E+00-0.774860420E+00-0.775101104E+00-0.775355047E+00-0.775622299E+00 --0.775902703E+00-0.776196123E+00-0.776502173E+00-0.776820823E+00-0.777152105E+00 --0.777495399E+00-0.777850247E+00-0.778216648E+00-0.778594394E+00-0.778983524E+00 --0.779383320E+00-0.779793553E+00-0.780214223E+00-0.780644964E+00-0.781085542E+00 --0.781536086E+00-0.781998665E+00-0.782472844E+00-0.782953414E+00-0.783440374E+00 --0.783933724E+00-0.784433465E+00-0.784939596E+00-0.785452118E+00-0.785971029E+00 --0.786496332E+00-0.787028024E+00-0.787566107E+00-0.788110581E+00-0.788661481E+00 --0.789213976E+00-0.789770091E+00-0.790330464E+00-0.790895094E+00-0.791463982E+00 --0.792037128E+00-0.792614530E+00-0.793196191E+00-0.793782109E+00-0.794372284E+00 --0.794966592E+00-0.795549385E+00-0.796126558E+00-0.796698113E+00-0.797264048E+00 --0.797824363E+00-0.798379059E+00-0.798928136E+00-0.799471594E+00-0.800009432E+00 --0.800544627E+00-0.801093145E+00-0.801632012E+00-0.802161229E+00-0.802680795E+00 --0.803190711E+00-0.803690976E+00-0.804181591E+00-0.804662555E+00-0.805133869E+00 --0.805589077E+00-0.806070662E+00-0.806616651E+00-0.807209021E+00-0.807847772E+00 --0.808532905E+00-0.809264418E+00-0.810042313E+00-0.810866589E+00-0.811737246E+00 --0.812653738E+00-0.813618112E+00-0.814630448E+00-0.815690743E+00-0.816796358E+00 --0.817941475E+00-0.819129753E+00-0.820361193E+00-0.821635795E+00-0.822953558E+00 --0.824315360E+00-0.825722145E+00-0.827172129E+00-0.828665312E+00-0.830201695E+00 --0.831781816E+00-0.833406764E+00-0.835076310E+00-0.836790454E+00-0.838549197E+00 --0.840352538E+00-0.842200478E+00-0.844094034E+00-0.846032558E+00-0.848017248E+00 --0.850048591E+00-0.852126588E+00-0.854251239E+00-0.856422543E+00-0.858640060E+00 --0.101374965E+01-0.101270344E+01-0.101175130E+01-0.101089325E+01-0.101012927E+01 --0.100945938E+01-0.100888356E+01-0.100840182E+01-0.100801416E+01-0.100772059E+01 --0.100752109E+01-0.100741567E+01-0.100740433E+01-0.100748707E+01-0.100764737E+01 --0.100789132E+01-0.100826772E+01-0.100863616E+01-0.100890375E+01-0.100907051E+01 --0.100913643E+01-0.100910150E+01-0.100896574E+01-0.100872914E+01-0.100839169E+01 --0.100795341E+01-0.100742901E+01-0.100681838E+01-0.100612079E+01-0.100533626E+01 --0.100446477E+01-0.100350633E+01-0.100246094E+01-0.100132859E+01-0.100010930E+01 --0.998803055E+00-0.997388185E+00-0.995869229E+00-0.994259430E+00-0.992554029E+00 --0.990729337E+00-0.988793691E+00-0.986752892E+00-0.984606938E+00-0.982355830E+00 --0.979999569E+00-0.977538153E+00-0.974971583E+00-0.972299981E+00-0.969509829E+00 --0.966565821E+00-0.963467957E+00-0.960216236E+00-0.956810659E+00-0.953251226E+00 --0.949537937E+00-0.945670791E+00-0.941681741E+00-0.937799838E+00-0.934005402E+00 --0.930298435E+00-0.926678936E+00-0.923146906E+00-0.919702343E+00-0.916345249E+00 --0.913075623E+00-0.909893465E+00-0.906798775E+00-0.903786805E+00-0.900814443E+00 --0.897896208E+00-0.895050424E+00-0.892259639E+00-0.889523854E+00-0.886838258E+00 --0.884208353E+00-0.881638597E+00-0.879128988E+00-0.876679529E+00-0.874288126E+00 --0.871921719E+00-0.869600820E+00-0.867324997E+00-0.865095483E+00-0.862905681E+00 --0.860754451E+00-0.858642168E+00-0.856571774E+00-0.854539845E+00-0.852542028E+00 --0.850584167E+00-0.848661353E+00-0.846773584E+00-0.844920861E+00-0.843102160E+00 --0.841312769E+00-0.839556729E+00-0.837833535E+00-0.836142065E+00-0.834482317E+00 --0.832853385E+00-0.831252549E+00-0.829679634E+00-0.828134640E+00-0.826617060E+00 --0.825128839E+00-0.823668073E+00-0.822233202E+00-0.820824368E+00-0.819442392E+00 --0.818087181E+00-0.816756981E+00-0.815451079E+00-0.814169637E+00-0.812913172E+00 --0.811681592E+00-0.810473434E+00-0.809288280E+00-0.808126131E+00-0.806986985E+00 --0.805870844E+00-0.804777264E+00-0.803705865E+00-0.802656516E+00-0.801629217E+00 --0.800623968E+00-0.799640703E+00-0.798678060E+00-0.797735924E+00-0.796814297E+00 --0.795913183E+00-0.795032941E+00-0.794172960E+00-0.793333259E+00-0.792513839E+00 --0.791714423E+00-0.790934176E+00-0.790173245E+00-0.789431996E+00-0.788710430E+00 --0.788008409E+00-0.787325123E+00-0.786660570E+00-0.786014750E+00-0.785387632E+00 --0.784779179E+00-0.784188625E+00-0.783617142E+00-0.783064033E+00-0.782529180E+00 --0.782012583E+00-0.781513853E+00-0.781032960E+00-0.780570297E+00-0.780125441E+00 --0.779698393E+00-0.779289152E+00-0.778897363E+00-0.778523298E+00-0.778166646E+00 --0.777827486E+00-0.777505839E+00-0.777201069E+00-0.776913999E+00-0.776644095E+00 --0.776391339E+00-0.776155732E+00-0.775937195E+00-0.775735341E+00-0.775550698E+00 --0.775382660E+00-0.775231225E+00-0.775096491E+00-0.774978497E+00-0.774876879E+00 --0.774791584E+00-0.774722773E+00-0.774669899E+00-0.774633155E+00-0.774612593E+00 --0.774608212E+00-0.774619800E+00-0.774646785E+00-0.774689195E+00-0.774747164E+00 --0.774820695E+00-0.774909758E+00-0.775013763E+00-0.775132586E+00-0.775266226E+00 --0.775414452E+00-0.775577579E+00-0.775755199E+00-0.775947313E+00-0.776153414E+00 --0.776372946E+00-0.776606832E+00-0.776854469E+00-0.777115418E+00-0.777389680E+00 --0.777676857E+00-0.777977261E+00-0.778290266E+00-0.778615871E+00-0.778954078E+00 --0.779304602E+00-0.779666064E+00-0.780039299E+00-0.780424347E+00-0.780820731E+00 --0.781228155E+00-0.781646028E+00-0.782074450E+00-0.782513414E+00-0.782962237E+00 --0.783420245E+00-0.783890429E+00-0.784372614E+00-0.784861189E+00-0.785356155E+00 --0.785857512E+00-0.786365259E+00-0.786879396E+00-0.787400480E+00-0.787929357E+00 --0.788465806E+00-0.789009827E+00-0.789561419E+00-0.790120584E+00-0.790686193E+00 --0.791251774E+00-0.791820954E+00-0.792393735E+00-0.792970222E+00-0.793550907E+00 --0.794135850E+00-0.794725051E+00-0.795318509E+00-0.795916225E+00-0.796518198E+00 --0.797124429E+00-0.797730942E+00-0.798317321E+00-0.798898081E+00-0.799473221E+00 --0.800042743E+00-0.800606644E+00-0.801164927E+00-0.801717590E+00-0.802280558E+00 --0.802857492E+00-0.803424776E+00-0.803982409E+00-0.804530392E+00-0.805068724E+00 --0.805597406E+00-0.806116437E+00-0.806625818E+00-0.807125549E+00-0.807615629E+00 --0.808087302E+00-0.808609461E+00-0.809179198E+00-0.809795316E+00-0.810457815E+00 --0.811166696E+00-0.811921958E+00-0.812723601E+00-0.813571625E+00-0.814466030E+00 --0.815406816E+00-0.816393984E+00-0.817424088E+00-0.818501533E+00-0.819626938E+00 --0.820791133E+00-0.821996639E+00-0.823245308E+00-0.824537138E+00-0.825876933E+00 --0.827261179E+00-0.828688624E+00-0.830159268E+00-0.831673111E+00-0.833230154E+00 --0.834829982E+00-0.836472978E+00-0.838160573E+00-0.839892766E+00-0.841669557E+00 --0.843490947E+00-0.845357707E+00-0.847268904E+00-0.849223963E+00-0.851224870E+00 --0.853273800E+00-0.855369385E+00-0.857511623E+00-0.859699680E+00-0.861932035E+00 --0.101482276E+01-0.101378214E+01-0.101282878E+01-0.101196267E+01-0.101118381E+01 --0.101049221E+01-0.100988786E+01-0.100937076E+01-0.100894092E+01-0.100859833E+01 --0.100834299E+01-0.100817491E+01-0.100809408E+01-0.100810050E+01-0.100819418E+01 --0.100837511E+01-0.100868326E+01-0.100903087E+01-0.100928565E+01-0.100941721E+01 --0.100944793E+01-0.100937782E+01-0.100920686E+01-0.100893506E+01-0.100856242E+01 --0.100809887E+01-0.100755120E+01-0.100691657E+01-0.100619499E+01-0.100538646E+01 --0.100449098E+01-0.100350855E+01-0.100243916E+01-0.100128283E+01-0.100003954E+01 --0.998709299E+00-0.997292108E+00-0.995787966E+00-0.994203934E+00-0.992490802E+00 --0.990674502E+00-0.988753048E+00-0.986726440E+00-0.984594678E+00-0.982357762E+00 --0.980015692E+00-0.977568468E+00-0.975016090E+00-0.972358558E+00-0.969593804E+00 --0.966683836E+00-0.963620011E+00-0.960402330E+00-0.957030792E+00-0.953505399E+00 --0.949812218E+00-0.945987790E+00-0.942077714E+00-0.938210015E+00-0.934447173E+00 --0.930789715E+00-0.927219725E+00-0.923737203E+00-0.920342150E+00-0.917034565E+00 --0.913814447E+00-0.910681799E+00-0.907636618E+00-0.904673706E+00-0.901748419E+00 --0.898867836E+00-0.896031955E+00-0.893249940E+00-0.890537045E+00-0.887879150E+00 --0.885276254E+00-0.882728359E+00-0.880235463E+00-0.877797566E+00-0.875413303E+00 --0.873065863E+00-0.870761608E+00-0.868500293E+00-0.866282600E+00-0.864104025E+00 --0.861964023E+00-0.859862592E+00-0.857799026E+00-0.855772465E+00-0.853785682E+00 --0.851834108E+00-0.849917076E+00-0.848034587E+00-0.846186641E+00-0.844372473E+00 --0.842590395E+00-0.840838732E+00-0.839118791E+00-0.837430574E+00-0.835774079E+00 --0.834147699E+00-0.832549099E+00-0.830978419E+00-0.829435661E+00-0.827921233E+00 --0.826435129E+00-0.824975208E+00-0.823542051E+00-0.822135660E+00-0.820756034E+00 --0.819403035E+00-0.818074611E+00-0.816770514E+00-0.815490742E+00-0.814235006E+00 --0.813003668E+00-0.811796727E+00-0.810613053E+00-0.809452646E+00-0.808315164E+00 --0.807199778E+00-0.806107746E+00-0.805038569E+00-0.803990901E+00-0.802964742E+00 --0.801960163E+00-0.800977653E+00-0.800016648E+00-0.799075525E+00-0.798155826E+00 --0.797257290E+00-0.796379704E+00-0.795522237E+00-0.794684796E+00-0.793867179E+00 --0.793069969E+00-0.792292261E+00-0.791534237E+00-0.790795895E+00-0.790077235E+00 --0.789378252E+00-0.788698353E+00-0.788037186E+00-0.787394752E+00-0.786771051E+00 --0.786166371E+00-0.785580174E+00-0.785012957E+00-0.784464095E+00-0.783933586E+00 --0.783421432E+00-0.782927368E+00-0.782450974E+00-0.781993386E+00-0.781553679E+00 --0.781131852E+00-0.780727890E+00-0.780341379E+00-0.779972615E+00-0.779621676E+00 --0.779288249E+00-0.778972183E+00-0.778673504E+00-0.778392358E+00-0.778128695E+00 --0.777882227E+00-0.777652906E+00-0.777440724E+00-0.777245430E+00-0.777066917E+00 --0.776905368E+00-0.776760506E+00-0.776632236E+00-0.776520661E+00-0.776425867E+00 --0.776347621E+00-0.776285486E+00-0.776239478E+00-0.776209676E+00-0.776196055E+00 --0.776198615E+00-0.776217286E+00-0.776251466E+00-0.776301029E+00-0.776365974E+00 --0.776446310E+00-0.776541866E+00-0.776652822E+00-0.776778845E+00-0.776919936E+00 --0.777076098E+00-0.777246809E+00-0.777431605E+00-0.777630485E+00-0.777843450E+00 --0.778070848E+00-0.778311989E+00-0.778566813E+00-0.778835324E+00-0.779117329E+00 --0.779411831E+00-0.779720163E+00-0.780041005E+00-0.780374166E+00-0.780719646E+00 --0.781077446E+00-0.781447302E+00-0.781828957E+00-0.782221947E+00-0.782626273E+00 --0.783041600E+00-0.783467785E+00-0.783904956E+00-0.784352872E+00-0.784810769E+00 --0.785278561E+00-0.785755939E+00-0.786244441E+00-0.786740515E+00-0.787244161E+00 --0.787755379E+00-0.788274168E+00-0.788800530E+00-0.789334464E+00-0.789875970E+00 --0.790425047E+00-0.790981697E+00-0.791545918E+00-0.792117712E+00-0.792695339E+00 --0.793276495E+00-0.793861251E+00-0.794449607E+00-0.795041563E+00-0.795637120E+00 --0.796236276E+00-0.796838267E+00-0.797443523E+00-0.798053036E+00-0.798666807E+00 --0.799284836E+00-0.799907122E+00-0.800522000E+00-0.801111966E+00-0.801696311E+00 --0.802275038E+00-0.802848145E+00-0.803415633E+00-0.804014657E+00-0.804620008E+00 --0.805215708E+00-0.805801758E+00-0.806378157E+00-0.806944906E+00-0.807502004E+00 --0.808049452E+00-0.808587250E+00-0.809115397E+00-0.809636254E+00-0.810154900E+00 --0.810656590E+00-0.811200107E+00-0.811798010E+00-0.812441176E+00-0.813129605E+00 --0.813862454E+00-0.814641464E+00-0.815466855E+00-0.816338627E+00-0.817256781E+00 --0.818221315E+00-0.819232231E+00-0.820289528E+00-0.821393207E+00-0.822537421E+00 --0.823724635E+00-0.824947370E+00-0.826215693E+00-0.827534201E+00-0.828895907E+00 --0.830300813E+00-0.831748918E+00-0.833240223E+00-0.834774727E+00-0.836352430E+00 --0.837972813E+00-0.839633857E+00-0.841339501E+00-0.843089742E+00-0.844884582E+00 --0.846724491E+00-0.848608592E+00-0.850536553E+00-0.852508375E+00-0.854524057E+00 --0.856587659E+00-0.858700831E+00-0.860860657E+00-0.863061058E+00-0.865309631E+00 --0.101588294E+01-0.101477931E+01-0.101376292E+01-0.101283379E+01-0.101199192E+01 --0.101123729E+01-0.101056992E+01-0.100998981E+01-0.100949694E+01-0.100909133E+01 --0.100877298E+01-0.100854187E+01-0.100839802E+01-0.100834143E+01-0.100837208E+01 --0.100848999E+01-0.100872579E+01-0.100898527E+01-0.100916387E+01-0.100926158E+01 --0.100926518E+01-0.100915987E+01-0.100895372E+01-0.100864672E+01-0.100824447E+01 --0.100775975E+01-0.100718808E+01-0.100652946E+01-0.100578389E+01-0.100495137E+01 --0.100403189E+01-0.100302547E+01-0.100193467E+01-0.100076171E+01-0.999501041E+00 --0.998152661E+00-0.996716570E+00-0.995192464E+00-0.993599388E+00-0.991929685E+00 --0.990136022E+00-0.988233183E+00-0.986221169E+00-0.984102052E+00-0.981879328E+00 --0.979551450E+00-0.977118417E+00-0.974580231E+00-0.971936890E+00-0.969189341E+00 --0.966313412E+00-0.963283627E+00-0.960099985E+00-0.956754336E+00-0.953271742E+00 --0.949665755E+00-0.945936375E+00-0.942138163E+00-0.938390177E+00-0.934694984E+00 --0.931052583E+00-0.927531392E+00-0.924098379E+00-0.920752835E+00-0.917494758E+00 --0.914324150E+00-0.911241010E+00-0.908245338E+00-0.905331480E+00-0.902453268E+00 --0.899619760E+00-0.896830955E+00-0.894086852E+00-0.891387452E+00-0.888741400E+00 --0.886161395E+00-0.883636389E+00-0.881166383E+00-0.878751377E+00-0.876389883E+00 --0.874057099E+00-0.871765598E+00-0.869518790E+00-0.867312919E+00-0.865145571E+00 --0.863017757E+00-0.860928844E+00-0.858878677E+00-0.856867257E+00-0.854891553E+00 --0.852949519E+00-0.851041681E+00-0.849167871E+00-0.847326694E+00-0.845518540E+00 --0.843743544E+00-0.842000999E+00-0.840288508E+00-0.838606069E+00-0.836953684E+00 --0.835329850E+00-0.833734840E+00-0.832168595E+00-0.830631116E+00-0.829122404E+00 --0.827641490E+00-0.826186213E+00-0.824756566E+00-0.823352680E+00-0.821975405E+00 --0.820624469E+00-0.819297849E+00-0.817996169E+00-0.816719121E+00-0.815466497E+00 --0.814238299E+00-0.813033387E+00-0.811851605E+00-0.810693394E+00-0.809558230E+00 --0.808445973E+00-0.807356623E+00-0.806289748E+00-0.805244411E+00-0.804220582E+00 --0.803218261E+00-0.802237587E+00-0.801278840E+00-0.800340889E+00-0.799423834E+00 --0.798527908E+00-0.797653024E+00-0.796798255E+00-0.795963584E+00-0.795149244E+00 --0.794355295E+00-0.793581422E+00-0.792827024E+00-0.792092102E+00-0.791376656E+00 --0.790680706E+00-0.790004157E+00-0.789346667E+00-0.788708313E+00-0.788089094E+00 --0.787489011E+00-0.786907105E+00-0.786344269E+00-0.785800426E+00-0.785274936E+00 --0.784767801E+00-0.784278738E+00-0.783807805E+00-0.783355258E+00-0.782920956E+00 --0.782504534E+00-0.782106189E+00-0.781725729E+00-0.781362949E+00-0.781017848E+00 --0.780690450E+00-0.780380679E+00-0.780088440E+00-0.779813734E+00-0.779556561E+00 --0.779316803E+00-0.779093770E+00-0.778888082E+00-0.778699555E+00-0.778527810E+00 --0.778372968E+00-0.778235099E+00-0.778113955E+00-0.778009581E+00-0.777921990E+00 --0.777851155E+00-0.777796459E+00-0.777757866E+00-0.777735375E+00-0.777728986E+00 --0.777738700E+00-0.777764490E+00-0.777805665E+00-0.777862587E+00-0.777935265E+00 --0.778023700E+00-0.778127107E+00-0.778245436E+00-0.778379308E+00-0.778528248E+00 --0.778692277E+00-0.778870983E+00-0.779063773E+00-0.779270648E+00-0.779491557E+00 --0.779726518E+00-0.779975567E+00-0.780238470E+00-0.780515059E+00-0.780805189E+00 --0.781108407E+00-0.781424686E+00-0.781753863E+00-0.782095400E+00-0.782449248E+00 --0.782815304E+00-0.783193987E+00-0.783584851E+00-0.783987051E+00-0.784400562E+00 --0.784824915E+00-0.785260056E+00-0.785706000E+00-0.786162867E+00-0.786629715E+00 --0.787106449E+00-0.787592408E+00-0.788085860E+00-0.788591962E+00-0.789108237E+00 --0.789632083E+00-0.790163502E+00-0.790702492E+00-0.791249055E+00-0.791803189E+00 --0.792364895E+00-0.792934174E+00-0.793511024E+00-0.794096757E+00-0.794689889E+00 --0.795286620E+00-0.795886951E+00-0.796490883E+00-0.797098415E+00-0.797709547E+00 --0.798324279E+00-0.798942611E+00-0.799564543E+00-0.800190076E+00-0.800818111E+00 --0.801447938E+00-0.802082022E+00-0.802720363E+00-0.803339766E+00-0.803933318E+00 --0.804521250E+00-0.805103563E+00-0.805746924E+00-0.806380692E+00-0.807004808E+00 --0.807619275E+00-0.808224091E+00-0.808819256E+00-0.809397034E+00-0.809966343E+00 --0.810532710E+00-0.811096135E+00-0.811656618E+00-0.812214159E+00-0.812768759E+00 --0.813309246E+00-0.813861149E+00-0.814465369E+00-0.815137718E+00-0.815855330E+00 --0.816618205E+00-0.817426343E+00-0.818279743E+00-0.819178407E+00-0.820122333E+00 --0.821111522E+00-0.822145974E+00-0.823225689E+00-0.824350666E+00-0.825520907E+00 --0.826736410E+00-0.827991195E+00-0.829287164E+00-0.830626331E+00-0.832008698E+00 --0.833434264E+00-0.834903030E+00-0.836414994E+00-0.837970158E+00-0.839568522E+00 --0.841210084E+00-0.842889401E+00-0.844613093E+00-0.846381383E+00-0.848194388E+00 --0.850051392E+00-0.851952256E+00-0.853896981E+00-0.855885566E+00-0.857918012E+00 --0.859994318E+00-0.862120926E+00-0.864295256E+00-0.866508057E+00-0.868772849E+00 --0.101643312E+01-0.101534266E+01-0.101431599E+01-0.101333602E+01-0.101243112E+01 --0.101161347E+01-0.101088308E+01-0.101023995E+01-0.100968406E+01-0.100921543E+01 --0.100883405E+01-0.100853993E+01-0.100833306E+01-0.100821344E+01-0.100818108E+01 --0.100823597E+01-0.100839941E+01-0.100857076E+01-0.100866124E+01-0.100867082E+01 --0.100859953E+01-0.100844735E+01-0.100820631E+01-0.100786581E+01-0.100744405E+01 --0.100693534E+01-0.100633967E+01-0.100565772E+01-0.100488806E+01-0.100403069E+01 --0.100308561E+01-0.100205281E+01-0.100093231E+01-0.999724101E+00-0.998428179E+00 --0.997044546E+00-0.995575018E+00-0.994040933E+00-0.992443250E+00-0.990781967E+00 --0.989032714E+00-0.987164693E+00-0.985187496E+00-0.983101124E+00-0.980905576E+00 --0.978600853E+00-0.976186954E+00-0.973664006E+00-0.971034857E+00-0.968300555E+00 --0.965454550E+00-0.962454979E+00-0.959314218E+00-0.956050064E+00-0.952662518E+00 --0.949151580E+00-0.945517249E+00-0.941830901E+00-0.938202629E+00-0.934627149E+00 --0.931104462E+00-0.927634567E+00-0.924230433E+00-0.920934397E+00-0.917725830E+00 --0.914604731E+00-0.911571100E+00-0.908624937E+00-0.905760126E+00-0.902928990E+00 --0.900142557E+00-0.897400826E+00-0.894703799E+00-0.892051474E+00-0.889443852E+00 --0.886880933E+00-0.884370590E+00-0.881923473E+00-0.879531357E+00-0.877192632E+00 --0.874881106E+00-0.872610303E+00-0.870379165E+00-0.868193375E+00-0.866042666E+00 --0.863930473E+00-0.861857026E+00-0.859822326E+00-0.857826372E+00-0.855863603E+00 --0.853933476E+00-0.852039109E+00-0.850176126E+00-0.848344751E+00-0.846546332E+00 --0.844780935E+00-0.843047126E+00-0.841342301E+00-0.839667530E+00-0.838023137E+00 --0.836406902E+00-0.834818379E+00-0.833257699E+00-0.831725659E+00-0.830222384E+00 --0.828746645E+00-0.827296524E+00-0.825872034E+00-0.824473175E+00-0.823099986E+00 --0.821752318E+00-0.820430303E+00-0.819132539E+00-0.817859026E+00-0.816609779E+00 --0.815384925E+00-0.814183767E+00-0.813005917E+00-0.811850975E+00-0.810718940E+00 --0.809609813E+00-0.808523593E+00-0.807459679E+00-0.806416714E+00-0.805396042E+00 --0.804397246E+00-0.803420327E+00-0.802465130E+00-0.801530852E+00-0.800617404E+00 --0.799724785E+00-0.798852864E+00-0.798001352E+00-0.797170517E+00-0.796359993E+00 --0.795569782E+00-0.794799667E+00-0.794049031E+00-0.793317938E+00-0.792606728E+00 --0.791915416E+00-0.791243447E+00-0.790590544E+00-0.789956700E+00-0.789341949E+00 --0.788746264E+00-0.788169540E+00-0.787611930E+00-0.787073167E+00-0.786552696E+00 --0.786050637E+00-0.785567396E+00-0.785102423E+00-0.784655719E+00-0.784227112E+00 --0.783816160E+00-0.783424072E+00-0.783049650E+00-0.782693056E+00-0.782354463E+00 --0.782033882E+00-0.781731070E+00-0.781445652E+00-0.781177629E+00-0.780927001E+00 --0.780693767E+00-0.780478010E+00-0.780279333E+00-0.780097917E+00-0.779933474E+00 --0.779786004E+00-0.779655508E+00-0.779541984E+00-0.779445434E+00-0.779365141E+00 --0.779301725E+00-0.779254468E+00-0.779223391E+00-0.779208662E+00-0.779210286E+00 --0.779228141E+00-0.779261383E+00-0.779310585E+00-0.779375710E+00-0.779456600E+00 --0.779553247E+00-0.779665399E+00-0.779792434E+00-0.779934339E+00-0.780091128E+00 --0.780263027E+00-0.780449727E+00-0.780650512E+00-0.780866171E+00-0.781095921E+00 --0.781339750E+00-0.781597657E+00-0.781869615E+00-0.782154650E+00-0.782453524E+00 --0.782765458E+00-0.783090453E+00-0.783428509E+00-0.783779148E+00-0.784142193E+00 --0.784517854E+00-0.784906130E+00-0.785306252E+00-0.785717672E+00-0.786141263E+00 --0.786575642E+00-0.787020810E+00-0.787476981E+00-0.787943654E+00-0.788420537E+00 --0.788907898E+00-0.789405233E+00-0.789911519E+00-0.790427466E+00-0.790953074E+00 --0.791489394E+00-0.792033442E+00-0.792585061E+00-0.793144252E+00-0.793711015E+00 --0.794285350E+00-0.794867257E+00-0.795456736E+00-0.796061135E+00-0.796669841E+00 --0.797282148E+00-0.797898055E+00-0.798517563E+00-0.799140670E+00-0.799767377E+00 --0.800397685E+00-0.801031593E+00-0.801669101E+00-0.802310209E+00-0.802954917E+00 --0.803603225E+00-0.804255133E+00-0.804909755E+00-0.805564152E+00-0.806184240E+00 --0.806805526E+00-0.807477360E+00-0.808139544E+00-0.808769216E+00-0.809389186E+00 --0.810006215E+00-0.810620302E+00-0.811231448E+00-0.811839651E+00-0.812444913E+00 --0.813047233E+00-0.813646611E+00-0.814243047E+00-0.814836542E+00-0.815427094E+00 --0.816006378E+00-0.816601450E+00-0.817238812E+00-0.817918464E+00-0.818660630E+00 --0.819452688E+00-0.820290010E+00-0.821172594E+00-0.822100440E+00-0.823073550E+00 --0.824091923E+00-0.825155558E+00-0.826264456E+00-0.827418617E+00-0.828608976E+00 --0.829836506E+00-0.831116191E+00-0.832441864E+00-0.833808127E+00-0.835214979E+00 --0.836661532E+00-0.838150957E+00-0.839683582E+00-0.841259407E+00-0.842878430E+00 --0.844540653E+00-0.846239609E+00-0.847981349E+00-0.849767396E+00-0.851597303E+00 --0.853471071E+00-0.855388699E+00-0.857350187E+00-0.859355536E+00-0.861404745E+00 --0.863497815E+00-0.865633639E+00-0.867818492E+00-0.870050638E+00-0.872332251E+00 --0.101670246E+01-0.101555998E+01-0.101448130E+01-0.101346641E+01-0.101251531E+01 --0.101162801E+01-0.101082734E+01-0.101012118E+01-0.100950227E+01-0.100897062E+01 --0.100852622E+01-0.100816908E+01-0.100789919E+01-0.100771655E+01-0.100762117E+01 --0.100761304E+01-0.100770412E+01-0.100778735E+01-0.100778970E+01-0.100771116E+01 --0.100755174E+01-0.100731143E+01-0.100698589E+01-0.100658636E+01-0.100613151E+01 --0.100558973E+01-0.100496024E+01-0.100424304E+01-0.100343812E+01-0.100254550E+01 --0.100156517E+01-0.100049712E+01-0.999341368E+00-0.998097904E+00-0.996764957E+00 --0.995353462E+00-0.993878369E+00-0.992339676E+00-0.990737385E+00-0.989071494E+00 --0.987342005E+00-0.985513022E+00-0.983570643E+00-0.981519088E+00-0.979358357E+00 --0.977088452E+00-0.974709370E+00-0.972221114E+00-0.969623681E+00-0.966915896E+00 --0.964110636E+00-0.961192898E+00-0.958147186E+00-0.954978081E+00-0.951685583E+00 --0.948269694E+00-0.944730412E+00-0.941155927E+00-0.937647369E+00-0.934191603E+00 --0.930788629E+00-0.927438448E+00-0.924141059E+00-0.920896463E+00-0.917727779E+00 --0.914656189E+00-0.911672067E+00-0.908775413E+00-0.905959644E+00-0.903175583E+00 --0.900436225E+00-0.897741570E+00-0.895091618E+00-0.892486369E+00-0.889925822E+00 --0.887409978E+00-0.884938837E+00-0.882512399E+00-0.880137508E+00-0.877821552E+00 --0.875531283E+00-0.873285711E+00-0.871081321E+00-0.868920570E+00-0.866795677E+00 --0.864705454E+00-0.862649902E+00-0.860629972E+00-0.858649485E+00-0.856700957E+00 --0.854789720E+00-0.852909614E+00-0.851060609E+00-0.849242706E+00-0.847455903E+00 --0.845700202E+00-0.843977546E+00-0.842282022E+00-0.840617644E+00-0.838982404E+00 --0.837374876E+00-0.835795060E+00-0.834242955E+00-0.832718562E+00-0.831221176E+00 --0.829750592E+00-0.828305869E+00-0.826887492E+00-0.825495430E+00-0.824129382E+00 --0.822787287E+00-0.821469687E+00-0.820177257E+00-0.818909078E+00-0.817665151E+00 --0.816445176E+00-0.815247796E+00-0.814074187E+00-0.812923932E+00-0.811796416E+00 --0.810691638E+00-0.809609600E+00-0.808547996E+00-0.807510238E+00-0.806494096E+00 --0.805499572E+00-0.804526319E+00-0.803574622E+00-0.802644391E+00-0.801735131E+00 --0.800846840E+00-0.799979007E+00-0.799131891E+00-0.798305546E+00-0.797499367E+00 --0.796713353E+00-0.795947350E+00-0.795201117E+00-0.794474814E+00-0.793768417E+00 --0.793081929E+00-0.792414999E+00-0.791767135E+00-0.791138335E+00-0.790528892E+00 --0.789938776E+00-0.789367466E+00-0.788815211E+00-0.788282070E+00-0.787766866E+00 --0.787270620E+00-0.786793339E+00-0.786334328E+00-0.785893585E+00-0.785471172E+00 --0.785067315E+00-0.784681562E+00-0.784313722E+00-0.783963874E+00-0.783632027E+00 --0.783318182E+00-0.783022308E+00-0.782743885E+00-0.782482895E+00-0.782239548E+00 --0.782013853E+00-0.781805440E+00-0.781614015E+00-0.781439888E+00-0.781283366E+00 --0.781143911E+00-0.781021360E+00-0.780915712E+00-0.780826969E+00-0.780755122E+00 --0.780699606E+00-0.780660385E+00-0.780637456E+00-0.780630936E+00-0.780640800E+00 --0.780666832E+00-0.780708823E+00-0.780766775E+00-0.780840686E+00-0.780930091E+00 --0.781034949E+00-0.781155713E+00-0.781291746E+00-0.781442663E+00-0.781608464E+00 --0.781788346E+00-0.781983577E+00-0.782194038E+00-0.782418577E+00-0.782657187E+00 --0.782910139E+00-0.783177535E+00-0.783458786E+00-0.783753252E+00-0.784061599E+00 --0.784383248E+00-0.784718130E+00-0.785066217E+00-0.785426947E+00-0.785800110E+00 --0.786185681E+00-0.786583562E+00-0.786993158E+00-0.787415757E+00-0.787849141E+00 --0.788293725E+00-0.788749991E+00-0.789217939E+00-0.789696627E+00-0.790185190E+00 --0.790683581E+00-0.791192292E+00-0.791711412E+00-0.792240193E+00-0.792778634E+00 --0.793326736E+00-0.793883988E+00-0.794448236E+00-0.795020056E+00-0.795599448E+00 --0.796186411E+00-0.796780947E+00-0.797390233E+00-0.798010915E+00-0.798635198E+00 --0.799263080E+00-0.799894563E+00-0.800529645E+00-0.801168328E+00-0.801810611E+00 --0.802456494E+00-0.803105978E+00-0.803759061E+00-0.804415745E+00-0.805076028E+00 --0.805739912E+00-0.806407396E+00-0.807082872E+00-0.807770057E+00-0.808449412E+00 --0.809091122E+00-0.809755871E+00-0.810417679E+00-0.811076544E+00-0.811732468E+00 --0.812385450E+00-0.813035490E+00-0.813682588E+00-0.814326745E+00-0.814967960E+00 --0.815606232E+00-0.816241564E+00-0.816873953E+00-0.817503400E+00-0.818129906E+00 --0.818747987E+00-0.819386227E+00-0.820066758E+00-0.820789579E+00-0.821554690E+00 --0.822366746E+00-0.823233251E+00-0.824145018E+00-0.825102049E+00-0.826104342E+00 --0.827151898E+00-0.828244717E+00-0.829378971E+00-0.830552219E+00-0.831768725E+00 --0.833028490E+00-0.834335193E+00-0.835685893E+00-0.837077182E+00-0.838509061E+00 --0.839981530E+00-0.841494589E+00-0.843048238E+00-0.844642477E+00-0.846282155E+00 --0.847965038E+00-0.849684482E+00-0.851443517E+00-0.853246327E+00-0.855092998E+00 --0.856983360E+00-0.858916739E+00-0.860893077E+00-0.862912376E+00-0.864974634E+00 --0.867079852E+00-0.869230697E+00-0.871431745E+00-0.873679602E+00-0.875974267E+00 --0.101674796E+01-0.101555347E+01-0.101442277E+01-0.101335586E+01-0.101235275E+01 --0.101141343E+01-0.101053790E+01-0.100972616E+01-0.100897821E+01-0.100835691E+01 --0.100784949E+01-0.100742932E+01-0.100709641E+01-0.100685075E+01-0.100669235E+01 --0.100662120E+01-0.100663993E+01-0.100663503E+01-0.100654925E+01-0.100638258E+01 --0.100613255E+01-0.100573381E+01-0.100528692E+01-0.100479188E+01-0.100424869E+01 --0.100365696E+01-0.100299222E+01-0.100223976E+01-0.100139960E+01-0.100047172E+01 --0.999456138E+00-0.998352842E+00-0.997161836E+00-0.995880299E+00-0.994527796E+00 --0.993111694E+00-0.991631993E+00-0.990088693E+00-0.988481794E+00-0.986811296E+00 --0.985077199E+00-0.983278170E+00-0.981370608E+00-0.979353871E+00-0.977227958E+00 --0.974992869E+00-0.972648605E+00-0.970195166E+00-0.967626058E+00-0.964982011E+00 --0.962265534E+00-0.959476629E+00-0.956612442E+00-0.953538386E+00-0.950340937E+00 --0.947020096E+00-0.943575863E+00-0.940113242E+00-0.936724397E+00-0.933388345E+00 --0.930105085E+00-0.926874618E+00-0.923696943E+00-0.920572060E+00-0.917499970E+00 --0.914480671E+00-0.911543913E+00-0.908696768E+00-0.905930035E+00-0.903193049E+00 --0.900500767E+00-0.897853187E+00-0.895250310E+00-0.892692135E+00-0.890178664E+00 --0.887709895E+00-0.885285830E+00-0.882906467E+00-0.880573256E+00-0.878281953E+00 --0.876029048E+00-0.873814341E+00-0.871640387E+00-0.869504673E+00-0.867403625E+00 --0.865337247E+00-0.863305540E+00-0.861308277E+00-0.859343136E+00-0.857413486E+00 --0.855517739E+00-0.853653192E+00-0.851819646E+00-0.850017100E+00-0.848245555E+00 --0.846505010E+00-0.844793908E+00-0.843110582E+00-0.841456725E+00-0.839831242E+00 --0.838233624E+00-0.836663871E+00-0.835121984E+00-0.833607963E+00-0.832120173E+00 --0.830656988E+00-0.829219702E+00-0.827808778E+00-0.826424169E+00-0.825065182E+00 --0.823730368E+00-0.822419683E+00-0.821133016E+00-0.819870171E+00-0.818631718E+00 --0.817417430E+00-0.816226209E+00-0.815058055E+00-0.813912721E+00-0.812790052E+00 --0.811689860E+00-0.810611836E+00-0.809556496E+00-0.808523944E+00-0.807513170E+00 --0.806524012E+00-0.805555911E+00-0.804608578E+00-0.803682598E+00-0.802777916E+00 --0.801894291E+00-0.801031443E+00-0.800189373E+00-0.799367894E+00-0.798566475E+00 --0.797785491E+00-0.797024687E+00-0.796283778E+00-0.795562764E+00-0.794861645E+00 --0.794180179E+00-0.793518258E+00-0.792875720E+00-0.792252744E+00-0.791649329E+00 --0.791065307E+00-0.790500133E+00-0.789953776E+00-0.789426235E+00-0.788917478E+00 --0.788427595E+00-0.787956261E+00-0.787503510E+00-0.787069344E+00-0.786653761E+00 --0.786256762E+00-0.785878238E+00-0.785517590E+00-0.785174871E+00-0.784850080E+00 --0.784543231E+00-0.784254421E+00-0.783983480E+00-0.783730188E+00-0.783494549E+00 --0.783276468E+00-0.783075762E+00-0.782892726E+00-0.782727248E+00-0.782578805E+00 --0.782447377E+00-0.782332972E+00-0.782235489E+00-0.782154910E+00-0.782091303E+00 --0.782044419E+00-0.782013829E+00-0.781999542E+00-0.782001689E+00-0.782020296E+00 --0.782055468E+00-0.782106596E+00-0.782173422E+00-0.782256081E+00-0.782354702E+00 --0.782468808E+00-0.782598048E+00-0.782743080E+00-0.782902995E+00-0.783078158E+00 --0.783268665E+00-0.783473546E+00-0.783693011E+00-0.783927077E+00-0.784175588E+00 --0.784438543E+00-0.784715668E+00-0.785006599E+00-0.785311360E+00-0.785629950E+00 --0.785961828E+00-0.786306719E+00-0.786665428E+00-0.787036688E+00-0.787420380E+00 --0.787816568E+00-0.788225847E+00-0.788646532E+00-0.789079507E+00-0.789524090E+00 --0.789980355E+00-0.790448302E+00-0.790927932E+00-0.791418749E+00-0.791919727E+00 --0.792430889E+00-0.792953007E+00-0.793485507E+00-0.794027153E+00-0.794578428E+00 --0.795139364E+00-0.795709961E+00-0.796290218E+00-0.796876466E+00-0.797468487E+00 --0.798068079E+00-0.798677184E+00-0.799309842E+00-0.799946099E+00-0.800585957E+00 --0.801229415E+00-0.801876473E+00-0.802527132E+00-0.803181390E+00-0.803839249E+00 --0.804500707E+00-0.805169743E+00-0.805844973E+00-0.806525807E+00-0.807212244E+00 --0.807904285E+00-0.808601928E+00-0.809297672E+00-0.809992598E+00-0.810695788E+00 --0.811386053E+00-0.812061788E+00-0.812739690E+00-0.813428350E+00-0.814120226E+00 --0.814809161E+00-0.815495154E+00-0.816178206E+00-0.816858315E+00-0.817535483E+00 --0.818209709E+00-0.818880993E+00-0.819549335E+00-0.820214736E+00-0.820877194E+00 --0.821534072E+00-0.822215481E+00-0.822939180E+00-0.823705170E+00-0.824513450E+00 --0.825364020E+00-0.826256881E+00-0.827197017E+00-0.828183231E+00-0.829214708E+00 --0.830290923E+00-0.831409888E+00-0.832572112E+00-0.833777595E+00-0.835026337E+00 --0.836318337E+00-0.837653203E+00-0.839028929E+00-0.840445245E+00-0.841902151E+00 --0.843399647E+00-0.844937733E+00-0.846516408E+00-0.848135674E+00-0.849795529E+00 --0.851495317E+00-0.853230298E+00-0.855007076E+00-0.856826814E+00-0.858689512E+00 --0.860595170E+00-0.862543788E+00-0.864535366E+00-0.866569904E+00-0.868647402E+00 --0.870767860E+00-0.872932085E+00-0.875143091E+00-0.877400905E+00-0.879705528E+00 --0.101656961E+01-0.101532310E+01-0.101414039E+01-0.101302147E+01-0.101196634E+01 --0.101097500E+01-0.101004746E+01-0.100918370E+01-0.100838374E+01-0.100764757E+01 --0.100697519E+01-0.100636661E+01-0.100592473E+01-0.100561605E+01-0.100539462E+01 --0.100526045E+01-0.100520683E+01-0.100511380E+01-0.100493989E+01-0.100457125E+01 --0.100412515E+01-0.100363090E+01-0.100308849E+01-0.100249794E+01-0.100185922E+01 --0.100117236E+01-0.100043734E+01-0.999647905E+00-0.998772488E+00-0.997809361E+00 --0.996758524E+00-0.995619977E+00-0.994391530E+00-0.993098019E+00-0.991740908E+00 --0.990320199E+00-0.988835890E+00-0.987287983E+00-0.985676476E+00-0.984001370E+00 --0.982262666E+00-0.980460362E+00-0.978587393E+00-0.976605473E+00-0.974514377E+00 --0.972314106E+00-0.969989044E+00-0.967578638E+00-0.965095803E+00-0.962540538E+00 --0.959912845E+00-0.957212723E+00-0.954440172E+00-0.951595193E+00-0.948628579E+00 --0.945402787E+00-0.942053602E+00-0.938702845E+00-0.935433714E+00-0.932217376E+00 --0.929053830E+00-0.925943076E+00-0.922885115E+00-0.919879946E+00-0.916927569E+00 --0.914027985E+00-0.911181193E+00-0.908389000E+00-0.905671298E+00-0.902981388E+00 --0.900336180E+00-0.897735675E+00-0.895194582E+00-0.892699758E+00-0.890246195E+00 --0.887833893E+00-0.885462853E+00-0.883133074E+00-0.880844557E+00-0.878596865E+00 --0.876381289E+00-0.874200102E+00-0.872056362E+00-0.869945687E+00-0.867869057E+00 --0.865828787E+00-0.863822192E+00-0.861849274E+00-0.859910033E+00-0.858003281E+00 --0.856126066E+00-0.854278719E+00-0.852462338E+00-0.850676713E+00-0.848920720E+00 --0.847194938E+00-0.845499336E+00-0.843831652E+00-0.842190507E+00-0.840576273E+00 --0.838990100E+00-0.837431791E+00-0.835901348E+00-0.834397971E+00-0.832919819E+00 --0.831466864E+00-0.830039105E+00-0.828636544E+00-0.827259750E+00-0.825908086E+00 --0.824580552E+00-0.823277148E+00-0.821997874E+00-0.820742653E+00-0.819511457E+00 --0.818303329E+00-0.817118268E+00-0.815956274E+00-0.814817348E+00-0.813700504E+00 --0.812606142E+00-0.811534465E+00-0.810485473E+00-0.809458669E+00-0.808453262E+00 --0.807469588E+00-0.806507303E+00-0.805565866E+00-0.804645228E+00-0.803745890E+00 --0.802867773E+00-0.802010319E+00-0.801173529E+00-0.800357402E+00-0.799561720E+00 --0.798786302E+00-0.798030964E+00-0.797295705E+00-0.796580526E+00-0.795885427E+00 --0.795209963E+00-0.794553971E+00-0.793917518E+00-0.793300540E+00-0.792703125E+00 --0.792125275E+00-0.791566246E+00-0.791026094E+00-0.790505141E+00-0.790003437E+00 --0.789520078E+00-0.789055660E+00-0.788610337E+00-0.788183452E+00-0.787775004E+00 --0.787384994E+00-0.787013421E+00-0.786660218E+00-0.786325031E+00-0.786007892E+00 --0.785708801E+00-0.785427758E+00-0.785164762E+00-0.784919666E+00-0.784691775E+00 --0.784481802E+00-0.784289499E+00-0.784114866E+00-0.783957915E+00-0.783818142E+00 --0.783695383E+00-0.783589639E+00-0.783500910E+00-0.783428703E+00-0.783373580E+00 --0.783335494E+00-0.783314050E+00-0.783309064E+00-0.783320536E+00-0.783348466E+00 --0.783392855E+00-0.783453553E+00-0.783529890E+00-0.783621926E+00-0.783729660E+00 --0.783853168E+00-0.783992477E+00-0.784147122E+00-0.784317163E+00-0.784502600E+00 --0.784703232E+00-0.784918374E+00-0.785148026E+00-0.785392187E+00-0.785650933E+00 --0.785924578E+00-0.786212268E+00-0.786513707E+00-0.786828896E+00-0.787157834E+00 --0.787500521E+00-0.787856659E+00-0.788225966E+00-0.788608223E+00-0.789003430E+00 --0.789411585E+00-0.789832117E+00-0.790264597E+00-0.790710061E+00-0.791167269E+00 --0.791635807E+00-0.792115649E+00-0.792606959E+00-0.793109906E+00-0.793623365E+00 --0.794147894E+00-0.794684175E+00-0.795231290E+00-0.795787472E+00-0.796352719E+00 --0.796927033E+00-0.797510412E+00-0.798102857E+00-0.798705499E+00-0.799317912E+00 --0.799930354E+00-0.800566621E+00-0.801214854E+00-0.801866687E+00-0.802521362E+00 --0.803179035E+00-0.803842311E+00-0.804511191E+00-0.805185673E+00-0.805865759E+00 --0.806551448E+00-0.807242740E+00-0.807939636E+00-0.808642134E+00-0.809350235E+00 --0.810061142E+00-0.810768475E+00-0.811484073E+00-0.812207936E+00-0.812940064E+00 --0.813677404E+00-0.814393070E+00-0.815110904E+00-0.815830904E+00-0.816553071E+00 --0.817277349E+00-0.817999295E+00-0.818718300E+00-0.819434362E+00-0.820147483E+00 --0.820857662E+00-0.821564899E+00-0.822269194E+00-0.822970547E+00-0.823668959E+00 --0.824364634E+00-0.825089212E+00-0.825856080E+00-0.826665238E+00-0.827516687E+00 --0.828410425E+00-0.829346455E+00-0.830324774E+00-0.831344832E+00-0.832409515E+00 --0.833517457E+00-0.834668657E+00-0.835863116E+00-0.837100834E+00-0.838381811E+00 --0.839706046E+00-0.841070220E+00-0.842470973E+00-0.843912316E+00-0.845394248E+00 --0.846916771E+00-0.848479884E+00-0.850083586E+00-0.851728071E+00-0.853412766E+00 --0.855133486E+00-0.856890234E+00-0.858683009E+00-0.860517001E+00-0.862394938E+00 --0.864315836E+00-0.866279693E+00-0.868286510E+00-0.870336288E+00-0.872429025E+00 --0.874560325E+00-0.876734480E+00-0.878955443E+00-0.881223215E+00-0.883537794E+00 --0.101616742E+01-0.101486890E+01-0.101363417E+01-0.101246323E+01-0.101135609E+01 --0.101031273E+01-0.100933317E+01-0.100841740E+01-0.100756543E+01-0.100677724E+01 --0.100605285E+01-0.100539225E+01-0.100479544E+01-0.100426242E+01-0.100379319E+01 --0.100353080E+01-0.100340482E+01-0.100309867E+01-0.100265336E+01-0.100215990E+01 --0.100161829E+01-0.100102852E+01-0.100039060E+01-0.999704524E+00-0.998970297E+00 --0.998187917E+00-0.997357383E+00-0.996478696E+00-0.995551855E+00-0.994558413E+00 --0.993469572E+00-0.992298651E+00-0.991064131E+00-0.989766012E+00-0.988404294E+00 --0.986978977E+00-0.985490061E+00-0.983937546E+00-0.982321432E+00-0.980641719E+00 --0.978898406E+00-0.977091495E+00-0.975220985E+00-0.973273894E+00-0.971199596E+00 --0.969022830E+00-0.966773636E+00-0.964452013E+00-0.962057960E+00-0.959591479E+00 --0.957052570E+00-0.954441231E+00-0.951757463E+00-0.949001267E+00-0.946172641E+00 --0.943271587E+00-0.940163630E+00-0.936924736E+00-0.933775319E+00-0.930678695E+00 --0.927634863E+00-0.924643823E+00-0.921705575E+00-0.918825408E+00-0.915998569E+00 --0.913224016E+00-0.910501751E+00-0.907831773E+00-0.905220633E+00-0.902637047E+00 --0.900078410E+00-0.897549467E+00-0.895057594E+00-0.892606982E+00-0.890197631E+00 --0.887829542E+00-0.885502714E+00-0.883217148E+00-0.880972843E+00-0.878768763E+00 --0.876589281E+00-0.874444187E+00-0.872330961E+00-0.870256182E+00-0.868211555E+00 --0.866197184E+00-0.864216489E+00-0.862269471E+00-0.860356129E+00-0.858470740E+00 --0.856614585E+00-0.854787127E+00-0.852991532E+00-0.851222942E+00-0.849484561E+00 --0.847776390E+00-0.846097217E+00-0.844444644E+00-0.842818610E+00-0.841219115E+00 --0.839646159E+00-0.838099324E+00-0.836580511E+00-0.835087393E+00-0.833619571E+00 --0.832177162E+00-0.830760136E+00-0.829368496E+00-0.828001680E+00-0.826659069E+00 --0.825340724E+00-0.824046501E+00-0.822775450E+00-0.821527721E+00-0.820303621E+00 --0.819103191E+00-0.817925826E+00-0.816771526E+00-0.815639925E+00-0.814530378E+00 --0.813442872E+00-0.812377542E+00-0.811334897E+00-0.810314413E+00-0.809314372E+00 --0.808336881E+00-0.807380492E+00-0.806445486E+00-0.805531481E+00-0.804638458E+00 --0.803766418E+00-0.802915131E+00-0.802084444E+00-0.801274234E+00-0.800484715E+00 --0.799715745E+00-0.798966697E+00-0.798237673E+00-0.797528729E+00-0.796839958E+00 --0.796170889E+00-0.795521401E+00-0.794891494E+00-0.794281169E+00-0.793690364E+00 --0.793118790E+00-0.792566464E+00-0.792033385E+00-0.791519554E+00-0.791024970E+00 --0.790549302E+00-0.790092396E+00-0.789654264E+00-0.789234848E+00-0.788833896E+00 --0.788451382E+00-0.788087296E+00-0.787741536E+00-0.787414539E+00-0.787105775E+00 --0.786814988E+00-0.786542178E+00-0.786287344E+00-0.786050415E+00-0.785831511E+00 --0.785630279E+00-0.785446582E+00-0.785280420E+00-0.785131888E+00-0.785000785E+00 --0.784886810E+00-0.784790063E+00-0.784710540E+00-0.784648195E+00-0.784602267E+00 --0.784573964E+00-0.784562145E+00-0.784566810E+00-0.784587960E+00-0.784625593E+00 --0.784679710E+00-0.784749800E+00-0.784836059E+00-0.784938085E+00-0.785055958E+00 --0.785189722E+00-0.785339322E+00-0.785504516E+00-0.785684634E+00-0.785880584E+00 --0.786091476E+00-0.786316870E+00-0.786557043E+00-0.786812193E+00-0.787082319E+00 --0.787367264E+00-0.787666067E+00-0.787978620E+00-0.788304922E+00-0.788645229E+00 --0.788999702E+00-0.789367281E+00-0.789748187E+00-0.790142270E+00-0.790549303E+00 --0.790969280E+00-0.791402000E+00-0.791847351E+00-0.792305340E+00-0.792775473E+00 --0.793256935E+00-0.793749728E+00-0.794254298E+00-0.794770411E+00-0.795297620E+00 --0.795836076E+00-0.796386517E+00-0.796948248E+00-0.797519046E+00-0.798098910E+00 --0.798687839E+00-0.799285834E+00-0.799892895E+00-0.800509219E+00-0.801137052E+00 --0.801775173E+00-0.802418996E+00-0.803081525E+00-0.803749656E+00-0.804423390E+00 --0.805102728E+00-0.805787669E+00-0.806478213E+00-0.807174360E+00-0.807876110E+00 --0.808583463E+00-0.809296420E+00-0.810014979E+00-0.810739142E+00-0.811459562E+00 --0.812187567E+00-0.812923838E+00-0.813668374E+00-0.814421175E+00-0.815182241E+00 --0.815951573E+00-0.816713822E+00-0.817471587E+00-0.818231519E+00-0.818993618E+00 --0.819757885E+00-0.820524317E+00-0.821292917E+00-0.822054885E+00-0.822803959E+00 --0.823550091E+00-0.824293281E+00-0.825033529E+00-0.825770836E+00-0.826505200E+00 --0.827239672E+00-0.828007419E+00-0.828817455E+00-0.829669782E+00-0.830564400E+00 --0.831501307E+00-0.832487584E+00-0.833523500E+00-0.834594451E+00-0.835700438E+00 --0.836841853E+00-0.838025288E+00-0.839251983E+00-0.840521936E+00-0.841835148E+00 --0.843191618E+00-0.844586245E+00-0.846012024E+00-0.847478394E+00-0.848985353E+00 --0.850532903E+00-0.852121042E+00-0.853755374E+00-0.855425911E+00-0.857132475E+00 --0.858875066E+00-0.860653683E+00-0.862468327E+00-0.864318998E+00-0.866209219E+00 --0.868145356E+00-0.870124453E+00-0.872146509E+00-0.874211526E+00-0.876316464E+00 --0.878453768E+00-0.880637880E+00-0.882868801E+00-0.885146530E+00-0.887471067E+00 --0.101554139E+01-0.101419085E+01-0.101290411E+01-0.101168115E+01-0.101052199E+01 --0.100942662E+01-0.100839505E+01-0.100742726E+01-0.100652327E+01-0.100567565E+01 --0.100486548E+01-0.100411102E+01-0.100341227E+01-0.100276922E+01-0.100218188E+01 --0.100165024E+01-0.100103500E+01-0.100038219E+01-0.999854749E+00-0.999279153E+00 --0.998655404E+00-0.997983502E+00-0.997263446E+00-0.996495237E+00-0.995678875E+00 --0.994814359E+00-0.993901690E+00-0.992940868E+00-0.991931892E+00-0.990874763E+00 --0.989663415E+00-0.988471354E+00-0.987240418E+00-0.985945882E+00-0.984587748E+00 --0.983166015E+00-0.981680682E+00-0.980131751E+00-0.978519220E+00-0.976843091E+00 --0.975103362E+00-0.973300035E+00-0.971433108E+00-0.969490235E+00-0.967458291E+00 --0.965353919E+00-0.963177118E+00-0.960927889E+00-0.958606230E+00-0.956212142E+00 --0.953745626E+00-0.951206680E+00-0.948595306E+00-0.945911503E+00-0.943155271E+00 --0.940337260E+00-0.937678374E+00-0.934938015E+00-0.931925157E+00-0.928964587E+00 --0.926056304E+00-0.923200308E+00-0.920396599E+00-0.917645177E+00-0.914946042E+00 --0.912299194E+00-0.909704633E+00-0.907157980E+00-0.904633840E+00-0.902128303E+00 --0.899641369E+00-0.897174811E+00-0.894743263E+00-0.892349922E+00-0.889994787E+00 --0.887677858E+00-0.885399136E+00-0.883158207E+00-0.880958115E+00-0.878797647E+00 --0.876656729E+00-0.874552598E+00-0.872477701E+00-0.870436235E+00-0.868425034E+00 --0.866443182E+00-0.864490680E+00-0.862568866E+00-0.860680361E+00-0.858817306E+00 --0.856985060E+00-0.855181844E+00-0.853408138E+00-0.851661607E+00-0.849942010E+00 --0.848251018E+00-0.846587018E+00-0.844949557E+00-0.843338994E+00-0.841755381E+00 --0.840198619E+00-0.838666589E+00-0.837161366E+00-0.835681020E+00-0.834224834E+00 --0.832793974E+00-0.831388498E+00-0.830008407E+00-0.828651170E+00-0.827318456E+00 --0.826010302E+00-0.824725468E+00-0.823463956E+00-0.822225764E+00-0.821010893E+00 --0.819818670E+00-0.818649048E+00-0.817503240E+00-0.816379483E+00-0.815277768E+00 --0.814198094E+00-0.813140461E+00-0.812104770E+00-0.811091158E+00-0.810097314E+00 --0.809126595E+00-0.808177379E+00-0.807249145E+00-0.806341892E+00-0.805455620E+00 --0.804590407E+00-0.803746019E+00-0.802922051E+00-0.802118741E+00-0.801336090E+00 --0.800573909E+00-0.799831674E+00-0.799109362E+00-0.798406979E+00-0.797725039E+00 --0.797062853E+00-0.796420421E+00-0.795797742E+00-0.795194539E+00-0.794610650E+00 --0.794046662E+00-0.793501847E+00-0.792976148E+00-0.792469565E+00-0.791982106E+00 --0.791514064E+00-0.791064861E+00-0.790634431E+00-0.790222775E+00-0.789829892E+00 --0.789455138E+00-0.789099186E+00-0.788761967E+00-0.788443349E+00-0.788143010E+00 --0.787860638E+00-0.787596264E+00-0.787350171E+00-0.787122241E+00-0.786912395E+00 --0.786720157E+00-0.786545420E+00-0.786388301E+00-0.786248996E+00-0.786127410E+00 --0.786023093E+00-0.785936000E+00-0.785866130E+00-0.785813186E+00-0.785777352E+00 --0.785758721E+00-0.785756842E+00-0.785771447E+00-0.785802536E+00-0.785850227E+00 --0.785914514E+00-0.785995394E+00-0.786092453E+00-0.786205280E+00-0.786333877E+00 --0.786478242E+00-0.786638375E+00-0.786814277E+00-0.787005602E+00-0.787212274E+00 --0.787433919E+00-0.787670540E+00-0.787922138E+00-0.788188713E+00-0.788470265E+00 --0.788766581E+00-0.789076582E+00-0.789400808E+00-0.789739196E+00-0.790091748E+00 --0.790458356E+00-0.790838395E+00-0.791231808E+00-0.791638595E+00-0.792057857E+00 --0.792490581E+00-0.792936171E+00-0.793394391E+00-0.793865242E+00-0.794348379E+00 --0.794843006E+00-0.795349925E+00-0.795869065E+00-0.796399938E+00-0.796942057E+00 --0.797495432E+00-0.798060033E+00-0.798636381E+00-0.799221721E+00-0.799815641E+00 --0.800419977E+00-0.801034731E+00-0.801659903E+00-0.802295492E+00-0.802941498E+00 --0.803597842E+00-0.804259406E+00-0.804929446E+00-0.805610702E+00-0.806306101E+00 --0.807007103E+00-0.807713708E+00-0.808425916E+00-0.809143727E+00-0.809867142E+00 --0.810596160E+00-0.811330781E+00-0.812065858E+00-0.812806272E+00-0.813554950E+00 --0.814311894E+00-0.815077102E+00-0.815850576E+00-0.816632315E+00-0.817422319E+00 --0.818220588E+00-0.819024043E+00-0.819821740E+00-0.820621604E+00-0.821423635E+00 --0.822227833E+00-0.823034198E+00-0.823842729E+00-0.824653428E+00-0.825466294E+00 --0.826281326E+00-0.827066140E+00-0.827842341E+00-0.828615601E+00-0.829385918E+00 --0.830159187E+00-0.830970102E+00-0.831823308E+00-0.832718804E+00-0.833677548E+00 --0.834687641E+00-0.835732770E+00-0.836812935E+00-0.837928136E+00-0.839078374E+00 --0.840263647E+00-0.841483956E+00-0.842739301E+00-0.844040900E+00-0.845386347E+00 --0.846775053E+00-0.848201277E+00-0.849652083E+00-0.851143480E+00-0.852675466E+00 --0.854258022E+00-0.855878375E+00-0.857534755E+00-0.859227161E+00-0.860955595E+00 --0.862720055E+00-0.864520541E+00-0.866357055E+00-0.868229595E+00-0.870138162E+00 --0.872083731E+00-0.874078067E+00-0.876115363E+00-0.878195619E+00-0.880300956E+00 --0.882448217E+00-0.884642287E+00-0.886887877E+00-0.889189644E+00-0.891527280E+00 --0.101474119E+01-0.101333518E+01-0.101198488E+01-0.101069028E+01-0.100945139E+01 --0.100826820E+01-0.100714072E+01-0.100606894E+01-0.100505287E+01-0.100409251E+01 --0.100318784E+01-0.100233889E+01-0.100154564E+01-0.100080809E+01-0.100012625E+01 --0.999500117E+00-0.998737452E+00-0.997939587E+00-0.997133380E+00-0.996385426E+00 --0.995689814E+00-0.994946049E+00-0.994154131E+00-0.993314060E+00-0.992425835E+00 --0.991489457E+00-0.990504926E+00-0.989472241E+00-0.988391403E+00-0.987245997E+00 --0.986013462E+00-0.984748127E+00-0.983449990E+00-0.982154986E+00-0.980806724E+00 --0.979394863E+00-0.977919403E+00-0.976380344E+00-0.974777686E+00-0.973111429E+00 --0.971381573E+00-0.969588118E+00-0.967731064E+00-0.965822922E+00-0.963850789E+00 --0.961806227E+00-0.959689236E+00-0.957499816E+00-0.955237968E+00-0.952903690E+00 --0.950496984E+00-0.948017849E+00-0.945466284E+00-0.942911678E+00-0.940399298E+00 --0.937862509E+00-0.935301311E+00-0.932715705E+00-0.930045007E+00-0.927212142E+00 --0.924431563E+00-0.921703271E+00-0.919027267E+00-0.916403549E+00-0.913832119E+00 --0.911312975E+00-0.908835383E+00-0.906366940E+00-0.903917099E+00-0.901485863E+00 --0.899073230E+00-0.896679200E+00-0.894303774E+00-0.891955232E+00-0.889650773E+00 --0.887384521E+00-0.885156474E+00-0.882966634E+00-0.880815001E+00-0.878700616E+00 --0.876606597E+00-0.874541355E+00-0.872505347E+00-0.870497192E+00-0.868518071E+00 --0.866568298E+00-0.864647875E+00-0.862754234E+00-0.860888766E+00-0.859054571E+00 --0.857246896E+00-0.855468251E+00-0.853715828E+00-0.851990305E+00-0.850290839E+00 --0.848619647E+00-0.846974347E+00-0.845354254E+00-0.843760812E+00-0.842194222E+00 --0.840653119E+00-0.839136682E+00-0.837644997E+00-0.836178437E+00-0.834736408E+00 --0.833318908E+00-0.831925939E+00-0.830556612E+00-0.829211811E+00-0.827890194E+00 --0.826591898E+00-0.825316923E+00-0.824065269E+00-0.822836935E+00-0.821631922E+00 --0.820449517E+00-0.819289585E+00-0.818151838E+00-0.817036133E+00-0.815942470E+00 --0.814870847E+00-0.813821266E+00-0.812793726E+00-0.811788149E+00-0.810803438E+00 --0.809840103E+00-0.808897813E+00-0.807976700E+00-0.807076764E+00-0.806198004E+00 --0.805340420E+00-0.804503797E+00-0.803687347E+00-0.802891213E+00-0.802115476E+00 --0.801360310E+00-0.800624888E+00-0.799909901E+00-0.799215151E+00-0.798540512E+00 --0.797885647E+00-0.797250534E+00-0.796635226E+00-0.796039628E+00-0.795463707E+00 --0.794907421E+00-0.794370334E+00-0.793852363E+00-0.793353640E+00-0.792874214E+00 --0.792414041E+00-0.791973062E+00-0.791550885E+00-0.791147459E+00-0.790762724E+00 --0.790396590E+00-0.790049502E+00-0.789721165E+00-0.789411199E+00-0.789119624E+00 --0.788846170E+00-0.788591043E+00-0.788354079E+00-0.788135289E+00-0.787934521E+00 --0.787751584E+00-0.787586460E+00-0.787439151E+00-0.787309657E+00-0.787197977E+00 --0.787103502E+00-0.787026063E+00-0.786966321E+00-0.786923743E+00-0.786898282E+00 --0.786889936E+00-0.786898147E+00-0.786923182E+00-0.786965093E+00-0.787023580E+00 --0.787098644E+00-0.787190356E+00-0.787298193E+00-0.787421895E+00-0.787561579E+00 --0.787717246E+00-0.787888896E+00-0.788076052E+00-0.788278640E+00-0.788496397E+00 --0.788730021E+00-0.788978824E+00-0.789242539E+00-0.789521166E+00-0.789814704E+00 --0.790122615E+00-0.790444695E+00-0.790781686E+00-0.791132720E+00-0.791497797E+00 --0.791876608E+00-0.792269366E+00-0.792675635E+00-0.793095415E+00-0.793528739E+00 --0.793975083E+00-0.794434057E+00-0.794905661E+00-0.795390261E+00-0.795887202E+00 --0.796396007E+00-0.796917297E+00-0.797450808E+00-0.797996439E+00-0.798553566E+00 --0.799121967E+00-0.799700129E+00-0.800288703E+00-0.800890379E+00-0.801502472E+00 --0.802124982E+00-0.802757909E+00-0.803401255E+00-0.804055017E+00-0.804719197E+00 --0.805393763E+00-0.806076130E+00-0.806766973E+00-0.807466291E+00-0.808174084E+00 --0.808892159E+00-0.809620428E+00-0.810354301E+00-0.811093777E+00-0.811838856E+00 --0.812587365E+00-0.813340186E+00-0.814101272E+00-0.814870623E+00-0.815648239E+00 --0.816434121E+00-0.817228267E+00-0.818030679E+00-0.818841356E+00-0.819660298E+00 --0.820487505E+00-0.821322977E+00-0.822161364E+00-0.823001159E+00-0.823843122E+00 --0.824687252E+00-0.825533548E+00-0.826382011E+00-0.827232642E+00-0.828085439E+00 --0.828940403E+00-0.829797534E+00-0.830656832E+00-0.831504842E+00-0.832311113E+00 --0.833123179E+00-0.833977263E+00-0.834915707E+00-0.835899978E+00-0.836919285E+00 --0.837973628E+00-0.839063007E+00-0.840187422E+00-0.841346873E+00-0.842541360E+00 --0.843770883E+00-0.845035441E+00-0.846335036E+00-0.847669667E+00-0.849039334E+00 --0.850456350E+00-0.851915317E+00-0.853391150E+00-0.854920709E+00-0.856490878E+00 --0.858097074E+00-0.859739296E+00-0.861417546E+00-0.863131822E+00-0.864882124E+00 --0.866668454E+00-0.868490810E+00-0.870349193E+00-0.872243603E+00-0.874174040E+00 --0.876140503E+00-0.878142993E+00-0.880193072E+00-0.882276043E+00-0.884386454E+00 --0.886569620E+00-0.888791421E+00-0.891049091E+00-0.893342630E+00-0.895672038E+00 --0.101392119E+01-0.101244841E+01-0.101100361E+01-0.100961451E+01-0.100828113E+01 --0.100700344E+01-0.100578146E+01-0.100461519E+01-0.100350462E+01-0.100244976E+01 --0.100145060E+01-0.100050715E+01-0.999619403E+00-0.998787362E+00-0.998011025E+00 --0.997262786E+00-0.996399347E+00-0.995527565E+00-0.994647440E+00-0.993758971E+00 --0.992862159E+00-0.992001076E+00-0.991137295E+00-0.990225362E+00-0.989265275E+00 --0.988257034E+00-0.987200641E+00-0.986096094E+00-0.984943393E+00-0.983735643E+00 --0.982485566E+00-0.981202688E+00-0.979887008E+00-0.978538527E+00-0.977157245E+00 --0.975753128E+00-0.974287541E+00-0.972758355E+00-0.971165569E+00-0.969509185E+00 --0.967789201E+00-0.966005619E+00-0.964158437E+00-0.962311139E+00-0.960398816E+00 --0.958414065E+00-0.956356884E+00-0.954227275E+00-0.952025236E+00-0.949750769E+00 --0.947403873E+00-0.945055796E+00-0.942689921E+00-0.940299638E+00-0.937884946E+00 --0.935445846E+00-0.932982337E+00-0.930494419E+00-0.927982093E+00-0.925398300E+00 --0.922745425E+00-0.920144838E+00-0.917596538E+00-0.915100525E+00-0.912656799E+00 --0.910252844E+00-0.907840097E+00-0.905445953E+00-0.903070413E+00-0.900713476E+00 --0.898375143E+00-0.896055414E+00-0.893754288E+00-0.891471765E+00-0.889207846E+00 --0.886978310E+00-0.884800940E+00-0.882661776E+00-0.880560818E+00-0.878496242E+00 --0.876441112E+00-0.874413200E+00-0.872413899E+00-0.870439056E+00-0.868494898E+00 --0.866578072E+00-0.864688444E+00-0.862826014E+00-0.860990913E+00-0.859183245E+00 --0.857401376E+00-0.855646348E+00-0.853916293E+00-0.852213427E+00-0.850536957E+00 --0.848886706E+00-0.847261583E+00-0.845661586E+00-0.844085806E+00-0.842536025E+00 --0.841010987E+00-0.839510384E+00-0.838034531E+00-0.836582741E+00-0.835154497E+00 --0.833750780E+00-0.832370882E+00-0.831014762E+00-0.829682585E+00-0.828373036E+00 --0.827086128E+00-0.825822315E+00-0.824581823E+00-0.823364206E+00-0.822169076E+00 --0.820996475E+00-0.819846549E+00-0.818718389E+00-0.817611826E+00-0.816527107E+00 --0.815464429E+00-0.814423792E+00-0.813404880E+00-0.812406899E+00-0.811430619E+00 --0.810475514E+00-0.809541988E+00-0.808629313E+00-0.807737488E+00-0.806866514E+00 --0.806016551E+00-0.805187696E+00-0.804378948E+00-0.803590515E+00-0.802822440E+00 --0.802074872E+00-0.801347680E+00-0.800640512E+00-0.799953542E+00-0.799286785E+00 --0.798639285E+00-0.798012272E+00-0.797404966E+00-0.796817336E+00-0.796249382E+00 --0.795701030E+00-0.795172212E+00-0.794662646E+00-0.794172334E+00-0.793701274E+00 --0.793249467E+00-0.792816912E+00-0.792403512E+00-0.792008680E+00-0.791632791E+00 --0.791275840E+00-0.790937829E+00-0.790618664E+00-0.790317833E+00-0.790035439E+00 --0.789771570E+00-0.789525905E+00-0.789298278E+00-0.789089018E+00-0.788898313E+00 --0.788725634E+00-0.788570666E+00-0.788433410E+00-0.788313866E+00-0.788212033E+00 --0.788127925E+00-0.788061217E+00-0.788011761E+00-0.787979644E+00-0.787964867E+00 --0.787967429E+00-0.787986624E+00-0.788022587E+00-0.788075648E+00-0.788145365E+00 --0.788231737E+00-0.788334441E+00-0.788453415E+00-0.788588734E+00-0.788740035E+00 --0.788907319E+00-0.789090382E+00-0.789289448E+00-0.789504562E+00-0.789735116E+00 --0.789980873E+00-0.790241832E+00-0.790517838E+00-0.790808753E+00-0.791114581E+00 --0.791435272E+00-0.791770487E+00-0.792120188E+00-0.792484245E+00-0.792862358E+00 --0.793254644E+00-0.793660710E+00-0.794080406E+00-0.794513585E+00-0.794960638E+00 --0.795420697E+00-0.795893693E+00-0.796379912E+00-0.796879244E+00-0.797390933E+00 --0.797914892E+00-0.798451122E+00-0.798999525E+00-0.799559876E+00-0.800131923E+00 --0.800715950E+00-0.801310929E+00-0.801915855E+00-0.802532711E+00-0.803162555E+00 --0.803803239E+00-0.804454340E+00-0.805115858E+00-0.805787794E+00-0.806470148E+00 --0.807162937E+00-0.807866107E+00-0.808577753E+00-0.809297874E+00-0.810026471E+00 --0.810763542E+00-0.811509089E+00-0.812263368E+00-0.813024080E+00-0.813789309E+00 --0.814562803E+00-0.815344562E+00-0.816134586E+00-0.816932875E+00-0.817739429E+00 --0.818554248E+00-0.819377333E+00-0.820208682E+00-0.821048297E+00-0.821896177E+00 --0.822752322E+00-0.823616732E+00-0.824490457E+00-0.825370184E+00-0.826252078E+00 --0.827136140E+00-0.828022368E+00-0.828910763E+00-0.829801325E+00-0.830694054E+00 --0.831588950E+00-0.832486013E+00-0.833385243E+00-0.834286640E+00-0.835216774E+00 --0.836177973E+00-0.837137718E+00-0.838132499E+00-0.839162316E+00-0.840227169E+00 --0.841327058E+00-0.842461983E+00-0.843631944E+00-0.844836941E+00-0.846076973E+00 --0.847352042E+00-0.848662147E+00-0.850007288E+00-0.851387465E+00-0.852802678E+00 --0.854252927E+00-0.855727587E+00-0.857255776E+00-0.858811259E+00-0.860402769E+00 --0.862030306E+00-0.863693870E+00-0.865393460E+00-0.867129077E+00-0.868900721E+00 --0.870708392E+00-0.872552089E+00-0.874431814E+00-0.876347565E+00-0.878299342E+00 --0.880287147E+00-0.882310978E+00-0.884370836E+00-0.886481418E+00-0.888628128E+00 --0.890810706E+00-0.893029154E+00-0.895283470E+00-0.897573656E+00-0.899899710E+00 --0.101275800E+01-0.101127999E+01-0.100983625E+01-0.100842678E+01-0.100705126E+01 --0.100567908E+01-0.100436261E+01-0.100310184E+01-0.100189677E+01-0.100074741E+01 --0.999653759E+00-0.998615811E+00-0.997633567E+00-0.996707029E+00-0.995836196E+00 --0.994958047E+00-0.994020690E+00-0.993074990E+00-0.992120947E+00-0.991158561E+00 --0.990187832E+00-0.989208759E+00-0.988221344E+00-0.987229143E+00-0.986197193E+00 --0.985117090E+00-0.983988834E+00-0.982812425E+00-0.981587862E+00-0.980347348E+00 --0.979079727E+00-0.977779306E+00-0.976446083E+00-0.975080059E+00-0.973681234E+00 --0.972249608E+00-0.970785095E+00-0.969265781E+00-0.967682868E+00-0.966036356E+00 --0.964326246E+00-0.962552535E+00-0.960734971E+00-0.958954888E+00-0.957102375E+00 --0.955177433E+00-0.953180063E+00-0.951110263E+00-0.948964573E+00-0.946769613E+00 --0.944550244E+00-0.942306467E+00-0.940038281E+00-0.937745686E+00-0.935428683E+00 --0.933087271E+00-0.930721451E+00-0.928331222E+00-0.925916584E+00-0.923477538E+00 --0.920997892E+00-0.918525009E+00-0.916104413E+00-0.913736105E+00-0.911410361E+00 --0.909053310E+00-0.906714863E+00-0.904395020E+00-0.902093780E+00-0.899811143E+00 --0.897547110E+00-0.895301681E+00-0.893074855E+00-0.890866633E+00-0.888677014E+00 --0.886505999E+00-0.884353587E+00-0.882244045E+00-0.880193763E+00-0.878178995E+00 --0.876162810E+00-0.874173819E+00-0.872209554E+00-0.870275681E+00-0.868367216E+00 --0.866482478E+00-0.864624093E+00-0.862792906E+00-0.860988682E+00-0.859207377E+00 --0.857452103E+00-0.855722975E+00-0.854017862E+00-0.852338257E+00-0.850684562E+00 --0.849054492E+00-0.847449817E+00-0.845869862E+00-0.844313604E+00-0.842782219E+00 --0.841274807E+00-0.839791367E+00-0.838331472E+00-0.836894863E+00-0.835482732E+00 --0.834093219E+00-0.832727384E+00-0.831385264E+00-0.830065725E+00-0.828768815E+00 --0.827494507E+00-0.826242496E+00-0.825013868E+00-0.823807422E+00-0.822623039E+00 --0.821461134E+00-0.820321498E+00-0.819203473E+00-0.818107045E+00-0.817032215E+00 --0.815978983E+00-0.814947320E+00-0.813937313E+00-0.812948911E+00-0.811982051E+00 --0.811036018E+00-0.810110749E+00-0.809206588E+00-0.808323276E+00-0.807460816E+00 --0.806619205E+00-0.805797899E+00-0.804997010E+00-0.804216957E+00-0.803457424E+00 --0.802718411E+00-0.801999741E+00-0.801301058E+00-0.800622355E+00-0.799963519E+00 --0.799324356E+00-0.798705583E+00-0.798106610E+00-0.797527437E+00-0.796968063E+00 --0.796428018E+00-0.795907666E+00-0.795406948E+00-0.794925481E+00-0.794463266E+00 --0.794020303E+00-0.793596561E+00-0.793192189E+00-0.792806895E+00-0.792440434E+00 --0.792092805E+00-0.791764010E+00-0.791454122E+00-0.791162970E+00-0.790889971E+00 --0.790635603E+00-0.790399668E+00-0.790182260E+00-0.789983379E+00-0.789803023E+00 --0.789640686E+00-0.789496062E+00-0.789369149E+00-0.789260000E+00-0.789168951E+00 --0.789095527E+00-0.789039326E+00-0.789001133E+00-0.788980378E+00-0.788976963E+00 --0.788990888E+00-0.789021696E+00-0.789069282E+00-0.789133694E+00-0.789214879E+00 --0.789312861E+00-0.789427524E+00-0.789558480E+00-0.789705729E+00-0.789869003E+00 --0.790048397E+00-0.790243848E+00-0.790455356E+00-0.790682921E+00-0.790926263E+00 --0.791184817E+00-0.791458574E+00-0.791747534E+00-0.792051569E+00-0.792369798E+00 --0.792703967E+00-0.793052622E+00-0.793415763E+00-0.793793391E+00-0.794185267E+00 --0.794591153E+00-0.795011109E+00-0.795444900E+00-0.795892681E+00-0.796353652E+00 --0.796828198E+00-0.797315967E+00-0.797816979E+00-0.798331566E+00-0.798858424E+00 --0.799397552E+00-0.799949315E+00-0.800514067E+00-0.801090727E+00-0.801678851E+00 --0.802278984E+00-0.802890779E+00-0.803513902E+00-0.804148954E+00-0.804795937E+00 --0.805454748E+00-0.806124022E+00-0.806803714E+00-0.807493824E+00-0.808194351E+00 --0.808905363E+00-0.809629336E+00-0.810361785E+00-0.811102710E+00-0.811852109E+00 --0.812609984E+00-0.813376353E+00-0.814155220E+00-0.814942574E+00-0.815734885E+00 --0.816536254E+00-0.817346681E+00-0.818165800E+00-0.818993027E+00-0.819828519E+00 --0.820672277E+00-0.821524299E+00-0.822384586E+00-0.823253139E+00-0.824129957E+00 --0.825015040E+00-0.825908388E+00-0.826810001E+00-0.827728679E+00-0.828650505E+00 --0.829574498E+00-0.830500658E+00-0.831428985E+00-0.832359479E+00-0.833292139E+00 --0.834235610E+00-0.835205221E+00-0.836187816E+00-0.837183393E+00-0.838191953E+00 --0.839213497E+00-0.840237967E+00-0.841281544E+00-0.842360158E+00-0.843473807E+00 --0.844622492E+00-0.845806214E+00-0.847024971E+00-0.848278764E+00-0.849567594E+00 --0.850891459E+00-0.852250361E+00-0.853644298E+00-0.855073272E+00-0.856519161E+00 --0.857987323E+00-0.859496707E+00-0.861065213E+00-0.862662604E+00-0.864274694E+00 --0.865922247E+00-0.867605827E+00-0.869325433E+00-0.871081067E+00-0.872872727E+00 --0.874700414E+00-0.876564127E+00-0.878463868E+00-0.880399635E+00-0.882371429E+00 --0.884379250E+00-0.886423097E+00-0.888504842E+00-0.890624552E+00-0.892780131E+00 --0.894971580E+00-0.897198897E+00-0.899462083E+00-0.901761138E+00-0.904096061E+00 --0.101142679E+01-0.100990788E+01-0.100842325E+01-0.100697289E+01-0.100555681E+01 --0.100417500E+01-0.100282746E+01-0.100151420E+01-0.100022932E+01-0.998985464E+00 --0.997797314E+00-0.996664869E+00-0.995588129E+00-0.994567095E+00-0.993601766E+00 --0.992612755E+00-0.991601481E+00-0.990581863E+00-0.989553903E+00-0.988517599E+00 --0.987472952E+00-0.986419962E+00-0.985358629E+00-0.984288952E+00-0.983210933E+00 --0.982069625E+00-0.980869507E+00-0.979621235E+00-0.978333471E+00-0.977081109E+00 --0.975795946E+00-0.974477981E+00-0.973127215E+00-0.971743649E+00-0.970327281E+00 --0.968878111E+00-0.967396141E+00-0.965881370E+00-0.964329584E+00-0.962692945E+00 --0.960992706E+00-0.959228869E+00-0.957474440E+00-0.955754166E+00-0.953961464E+00 --0.952096332E+00-0.950101583E+00-0.948053129E+00-0.945980266E+00-0.943882995E+00 --0.941761315E+00-0.939615226E+00-0.937444729E+00-0.935249823E+00-0.933030508E+00 --0.930786785E+00-0.928518653E+00-0.926226113E+00-0.923909164E+00-0.921567806E+00 --0.919202040E+00-0.916843783E+00-0.914550892E+00-0.912307935E+00-0.910006581E+00 --0.907723830E+00-0.905459683E+00-0.903214140E+00-0.900987200E+00-0.898778864E+00 --0.896589131E+00-0.894418002E+00-0.892265476E+00-0.890131554E+00-0.888016235E+00 --0.885919520E+00-0.883841408E+00-0.881781900E+00-0.879740996E+00-0.877748876E+00 --0.875774691E+00-0.873826904E+00-0.871903817E+00-0.870006041E+00-0.868132548E+00 --0.866283151E+00-0.864457848E+00-0.862656641E+00-0.860882072E+00-0.859129755E+00 --0.857402619E+00-0.855699497E+00-0.854020391E+00-0.852365299E+00-0.850733785E+00 --0.849126815E+00-0.847543516E+00-0.845983889E+00-0.844447520E+00-0.842934832E+00 --0.841445717E+00-0.839979925E+00-0.838537456E+00-0.837118296E+00-0.835721887E+00 --0.834347954E+00-0.832996498E+00-0.831668116E+00-0.830361791E+00-0.829078405E+00 --0.827817341E+00-0.826578599E+00-0.825362076E+00-0.824167559E+00-0.822995046E+00 --0.821844213E+00-0.820714642E+00-0.819607216E+00-0.818521486E+00-0.817457453E+00 --0.816415000E+00-0.815393465E+00-0.814393007E+00-0.813414185E+00-0.812456744E+00 --0.811520088E+00-0.810604187E+00-0.809709042E+00-0.808834346E+00-0.807980398E+00 --0.807147495E+00-0.806335218E+00-0.805543435E+00-0.804772123E+00-0.804021145E+00 --0.803290686E+00-0.802580535E+00-0.801890366E+00-0.801220306E+00-0.800570303E+00 --0.799940270E+00-0.799330207E+00-0.798739959E+00-0.798169461E+00-0.797618889E+00 --0.797087988E+00-0.796576680E+00-0.796084916E+00-0.795612376E+00-0.795159394E+00 --0.794725784E+00-0.794311548E+00-0.793916699E+00-0.793541043E+00-0.793184219E+00 --0.792846227E+00-0.792527145E+00-0.792227102E+00-0.791946086E+00-0.791682943E+00 --0.791439297E+00-0.791214003E+00-0.791007044E+00-0.790818542E+00-0.790648568E+00 --0.790496653E+00-0.790362620E+00-0.790246710E+00-0.790148844E+00-0.790069022E+00 --0.790006803E+00-0.789962346E+00-0.789935681E+00-0.789926408E+00-0.789934356E+00 --0.789959707E+00-0.790002516E+00-0.790062149E+00-0.790138607E+00-0.790231927E+00 --0.790342303E+00-0.790469252E+00-0.790612757E+00-0.790772464E+00-0.790948608E+00 --0.791141215E+00-0.791349648E+00-0.791573908E+00-0.791813996E+00-0.792069683E+00 --0.792341292E+00-0.792628240E+00-0.792930529E+00-0.793248159E+00-0.793580669E+00 --0.793928387E+00-0.794290997E+00-0.794668136E+00-0.795059803E+00-0.795465811E+00 --0.795886064E+00-0.796320743E+00-0.796769403E+00-0.797232049E+00-0.797708316E+00 --0.798197991E+00-0.798700969E+00-0.799217630E+00-0.799746958E+00-0.800289273E+00 --0.800844576E+00-0.801412868E+00-0.801994147E+00-0.802587869E+00-0.803193359E+00 --0.803810754E+00-0.804439678E+00-0.805080998E+00-0.805734248E+00-0.806399428E+00 --0.807076538E+00-0.807765578E+00-0.808464823E+00-0.809173106E+00-0.809891806E+00 --0.810621041E+00-0.811365818E+00-0.812119070E+00-0.812880797E+00-0.813651000E+00 --0.814430581E+00-0.815221800E+00-0.816024693E+00-0.816839262E+00-0.817660670E+00 --0.818490626E+00-0.819329639E+00-0.820177711E+00-0.821034840E+00-0.821901026E+00 --0.822776271E+00-0.823660573E+00-0.824553933E+00-0.825455882E+00-0.826361638E+00 --0.827275658E+00-0.828197944E+00-0.829128495E+00-0.830076643E+00-0.831038401E+00 --0.832002326E+00-0.832967786E+00-0.833939154E+00-0.834923506E+00-0.835920840E+00 --0.836931158E+00-0.837954458E+00-0.838990742E+00-0.840040008E+00-0.841102258E+00 --0.842177490E+00-0.843265706E+00-0.844361733E+00-0.845489143E+00-0.846651589E+00 --0.847849071E+00-0.849081589E+00-0.850349142E+00-0.851651732E+00-0.852989358E+00 --0.854362020E+00-0.855769718E+00-0.857196352E+00-0.858647232E+00-0.860124648E+00 --0.861628600E+00-0.863176696E+00-0.864772195E+00-0.866396579E+00-0.868049847E+00 --0.869728416E+00-0.871432012E+00-0.873171635E+00-0.874947285E+00-0.876758961E+00 --0.878606665E+00-0.880490394E+00-0.882410151E+00-0.884365935E+00-0.886357745E+00 --0.888385582E+00-0.890449446E+00-0.892542371E+00-0.894670951E+00-0.896835400E+00 --0.899035717E+00-0.901271904E+00-0.903543960E+00-0.905851884E+00-0.908195678E+00 --0.100992756E+01-0.100836776E+01-0.100684223E+01-0.100535098E+01-0.100389400E+01 --0.100247130E+01-0.100108287E+01-0.999728715E+00-0.998408834E+00-0.997123227E+00 --0.995871894E+00-0.994654836E+00-0.993483089E+00-0.992367559E+00-0.991303761E+00 --0.990226912E+00-0.989141720E+00-0.988048184E+00-0.986946306E+00-0.985836085E+00 --0.984717520E+00-0.983590612E+00-0.982455361E+00-0.981311767E+00-0.980159830E+00 --0.978999550E+00-0.977830926E+00-0.976522525E+00-0.975206833E+00-0.973936927E+00 --0.972634221E+00-0.971298714E+00-0.969930405E+00-0.968529295E+00-0.967095384E+00 --0.965628672E+00-0.964129159E+00-0.962596844E+00-0.961031729E+00-0.959433812E+00 --0.957788584E+00-0.956034619E+00-0.954369439E+00-0.952685834E+00-0.950808294E+00 --0.948906345E+00-0.946979988E+00-0.945029223E+00-0.943054048E+00-0.941054466E+00 --0.939030474E+00-0.936982074E+00-0.934909265E+00-0.932812048E+00-0.930690422E+00 --0.928544387E+00-0.926373944E+00-0.924179092E+00-0.921959832E+00-0.919716163E+00 --0.917448085E+00-0.915155599E+00-0.912935974E+00-0.910699908E+00-0.908472854E+00 --0.906264403E+00-0.904074557E+00-0.901903313E+00-0.899757486E+00-0.897629876E+00 --0.895517846E+00-0.893421396E+00-0.891340526E+00-0.889275236E+00-0.887225526E+00 --0.885191397E+00-0.883172847E+00-0.881169877E+00-0.879182487E+00-0.877212743E+00 --0.875287287E+00-0.873381714E+00-0.871499807E+00-0.869638126E+00-0.867799606E+00 --0.865985181E+00-0.864194273E+00-0.862425015E+00-0.860677365E+00-0.858956227E+00 --0.857256423E+00-0.855579752E+00-0.853927105E+00-0.852297405E+00-0.850689733E+00 --0.849106580E+00-0.847544680E+00-0.846005963E+00-0.844490912E+00-0.842998274E+00 --0.841528141E+00-0.840080523E+00-0.838655551E+00-0.837253154E+00-0.835872689E+00 --0.834514627E+00-0.833178862E+00-0.831865421E+00-0.830574448E+00-0.829305009E+00 --0.828057249E+00-0.826831775E+00-0.825627978E+00-0.824445512E+00-0.823285283E+00 --0.822146389E+00-0.821028829E+00-0.819932504E+00-0.818857704E+00-0.817804609E+00 --0.816772814E+00-0.815761893E+00-0.814771844E+00-0.813802720E+00-0.812854698E+00 --0.811927419E+00-0.811020896E+00-0.810135128E+00-0.809270285E+00-0.808426261E+00 --0.807602748E+00-0.806799709E+00-0.806017165E+00-0.805255116E+00-0.804513562E+00 --0.803791698E+00-0.803090063E+00-0.802409199E+00-0.801748356E+00-0.801107482E+00 --0.800486579E+00-0.799885646E+00-0.799304683E+00-0.798743613E+00-0.798202234E+00 --0.797680610E+00-0.797178742E+00-0.796696609E+00-0.796233551E+00-0.795790395E+00 --0.795366583E+00-0.794962113E+00-0.794576803E+00-0.794210685E+00-0.793863979E+00 --0.793536300E+00-0.793227647E+00-0.792938021E+00-0.792667052E+00-0.792414735E+00 --0.792181575E+00-0.791967421E+00-0.791771618E+00-0.791594167E+00-0.791435067E+00 --0.791293822E+00-0.791171138E+00-0.791066802E+00-0.790980500E+00-0.790912259E+00 --0.790861932E+00-0.790829243E+00-0.790814309E+00-0.790817180E+00-0.790837043E+00 --0.790874229E+00-0.790929085E+00-0.791000824E+00-0.791089821E+00-0.791196125E+00 --0.791319272E+00-0.791458942E+00-0.791615006E+00-0.791787867E+00-0.791977641E+00 --0.792183649E+00-0.792405485E+00-0.792643150E+00-0.792896672E+00-0.793166030E+00 --0.793451223E+00-0.793752084E+00-0.794068292E+00-0.794399937E+00-0.794746750E+00 --0.795108667E+00-0.795485663E+00-0.795877170E+00-0.796283453E+00-0.796704364E+00 --0.797139749E+00-0.797589609E+00-0.798053216E+00-0.798531170E+00-0.799022786E+00 --0.799527897E+00-0.800046917E+00-0.800579749E+00-0.801125703E+00-0.801684660E+00 --0.802256491E+00-0.802841311E+00-0.803439119E+00-0.804049903E+00-0.804672794E+00 --0.805307960E+00-0.805956042E+00-0.806616364E+00-0.807288334E+00-0.807971953E+00 --0.808667276E+00-0.809374513E+00-0.810093680E+00-0.810824777E+00-0.811562514E+00 --0.812309972E+00-0.813075552E+00-0.813849607E+00-0.814630276E+00-0.815422172E+00 --0.816225743E+00-0.817040989E+00-0.817867910E+00-0.818706505E+00-0.819556188E+00 --0.820414731E+00-0.821282331E+00-0.822158989E+00-0.823044705E+00-0.823939479E+00 --0.824843310E+00-0.825756199E+00-0.826678145E+00-0.827609150E+00-0.828549212E+00 --0.829498332E+00-0.830456510E+00-0.831423745E+00-0.832407613E+00-0.833375379E+00 --0.834371628E+00-0.835383703E+00-0.836408760E+00-0.837446801E+00-0.838497824E+00 --0.839561831E+00-0.840638820E+00-0.841728793E+00-0.842831749E+00-0.843947687E+00 --0.845076609E+00-0.846218514E+00-0.847373066E+00-0.848549273E+00-0.849760515E+00 --0.851006793E+00-0.852288108E+00-0.853604458E+00-0.854955844E+00-0.856342267E+00 --0.857750234E+00-0.859183833E+00-0.860643967E+00-0.862130638E+00-0.863643844E+00 --0.865183585E+00-0.866767553E+00-0.868390046E+00-0.870041423E+00-0.871721684E+00 --0.873430829E+00-0.875168858E+00-0.876932066E+00-0.878727732E+00-0.880559425E+00 --0.882427144E+00-0.884330891E+00-0.886270663E+00-0.888246463E+00-0.890258290E+00 --0.892306143E+00-0.894381583E+00-0.896483164E+00-0.898620613E+00-0.900793932E+00 --0.903003119E+00-0.905248176E+00-0.907529101E+00-0.909845895E+00-0.912198558E+00 --0.100826031E+01-0.100665961E+01-0.100509319E+01-0.100356105E+01-0.100206318E+01 --0.100059958E+01-0.999170261E+00-0.997775213E+00-0.996414439E+00-0.995087939E+00 --0.993795714E+00-0.992537762E+00-0.991314085E+00-0.990122414E+00-0.988926246E+00 --0.987786550E+00-0.986638469E+00-0.985482001E+00-0.984317146E+00-0.983143905E+00 --0.981962278E+00-0.980772264E+00-0.979573864E+00-0.978367077E+00-0.977151904E+00 --0.975928345E+00-0.974696399E+00-0.973455281E+00-0.972176984E+00-0.970893848E+00 --0.969577895E+00-0.968229125E+00-0.966847538E+00-0.965433135E+00-0.963985914E+00 --0.962505877E+00-0.960993023E+00-0.959447353E+00-0.957868866E+00-0.956257561E+00 --0.954613440E+00-0.952952596E+00-0.951216713E+00-0.949455091E+00-0.947667667E+00 --0.945854439E+00-0.944015409E+00-0.942150575E+00-0.940259938E+00-0.938343497E+00 --0.936401254E+00-0.934433207E+00-0.932439357E+00-0.930419704E+00-0.928374248E+00 --0.926302989E+00-0.924205926E+00-0.922083060E+00-0.919934391E+00-0.917759919E+00 --0.915559644E+00-0.913363361E+00-0.911253862E+00-0.909137880E+00-0.906993032E+00 --0.904863223E+00-0.902747914E+00-0.900642276E+00-0.898552218E+00-0.896477740E+00 --0.894418843E+00-0.892375525E+00-0.890347787E+00-0.888335629E+00-0.886339052E+00 --0.884358054E+00-0.882392636E+00-0.880442798E+00-0.878508541E+00-0.876590978E+00 --0.874705797E+00-0.872841466E+00-0.870997985E+00-0.869174953E+00-0.867373760E+00 --0.865594098E+00-0.863835966E+00-0.862099363E+00-0.860384309E+00-0.858691514E+00 --0.857020616E+00-0.855371614E+00-0.853744866E+00-0.852140083E+00-0.850557207E+00 --0.848996664E+00-0.847457802E+00-0.845940582E+00-0.844446297E+00-0.842973870E+00 --0.841523042E+00-0.840094121E+00-0.838686979E+00-0.837302712E+00-0.835939525E+00 --0.834597492E+00-0.833277657E+00-0.831980083E+00-0.830703639E+00-0.829448728E+00 --0.828215351E+00-0.827003276E+00-0.825812576E+00-0.824643664E+00-0.823495702E+00 --0.822368952E+00-0.821263536E+00-0.820179456E+00-0.819115735E+00-0.818073633E+00 --0.817052452E+00-0.816052212E+00-0.815072950E+00-0.814114395E+00-0.813176674E+00 --0.812259498E+00-0.811363163E+00-0.810487715E+00-0.809632995E+00-0.808798545E+00 --0.807984636E+00-0.807191368E+00-0.806418429E+00-0.805665820E+00-0.804933541E+00 --0.804221431E+00-0.803529562E+00-0.802857920E+00-0.802206395E+00-0.801574986E+00 --0.800963694E+00-0.800372518E+00-0.799801308E+00-0.799249650E+00-0.798717896E+00 --0.798206050E+00-0.797713960E+00-0.797241615E+00-0.796788844E+00-0.796355590E+00 --0.795941752E+00-0.795547324E+00-0.795172435E+00-0.794816849E+00-0.794480566E+00 --0.794163504E+00-0.793865267E+00-0.793586065E+00-0.793325989E+00-0.793084975E+00 --0.792863023E+00-0.792660041E+00-0.792475378E+00-0.792309067E+00-0.792161316E+00 --0.792032124E+00-0.791921260E+00-0.791828722E+00-0.791754237E+00-0.791697916E+00 --0.791659845E+00-0.791639412E+00-0.791636616E+00-0.791651459E+00-0.791684244E+00 --0.791734415E+00-0.791801817E+00-0.791886507E+00-0.791988503E+00-0.792107807E+00 --0.792243709E+00-0.792396477E+00-0.792566152E+00-0.792752734E+00-0.792956141E+00 --0.793175551E+00-0.793410978E+00-0.793662897E+00-0.793930651E+00-0.794214240E+00 --0.794513665E+00-0.794828985E+00-0.795160169E+00-0.795506445E+00-0.795867904E+00 --0.796244548E+00-0.796636300E+00-0.797042732E+00-0.797464576E+00-0.797900898E+00 --0.798351643E+00-0.798816811E+00-0.799296191E+00-0.799789936E+00-0.800297557E+00 --0.800819051E+00-0.801354454E+00-0.801903766E+00-0.802466729E+00-0.803042731E+00 --0.803631746E+00-0.804233774E+00-0.804848815E+00-0.805476750E+00-0.806117571E+00 --0.806771180E+00-0.807437961E+00-0.808117512E+00-0.808808713E+00-0.809511562E+00 --0.810226059E+00-0.810952206E+00-0.811690000E+00-0.812439444E+00-0.813200536E+00 --0.813972155E+00-0.814754306E+00-0.815546879E+00-0.816351127E+00-0.817167050E+00 --0.817994648E+00-0.818833921E+00-0.819684868E+00-0.820547491E+00-0.821421788E+00 --0.822308570E+00-0.823204757E+00-0.824110002E+00-0.825024304E+00-0.825947664E+00 --0.826880082E+00-0.827821558E+00-0.828772092E+00-0.829731683E+00-0.830700332E+00 --0.831678038E+00-0.832665518E+00-0.833680362E+00-0.834702107E+00-0.835726245E+00 --0.836757427E+00-0.837796723E+00-0.838853102E+00-0.839926752E+00-0.841017671E+00 --0.842127628E+00-0.843258307E+00-0.844401969E+00-0.845558614E+00-0.846728241E+00 --0.847910852E+00-0.849106446E+00-0.850315023E+00-0.851540546E+00-0.852800585E+00 --0.854095660E+00-0.855425771E+00-0.856790917E+00-0.858180807E+00-0.859597124E+00 --0.861039978E+00-0.862509366E+00-0.864005291E+00-0.865527751E+00-0.867076747E+00 --0.868652279E+00-0.870269279E+00-0.871918765E+00-0.873597136E+00-0.875304390E+00 --0.877040528E+00-0.878805551E+00-0.880599457E+00-0.882422248E+00-0.884274117E+00 --0.886161853E+00-0.888085616E+00-0.890045405E+00-0.892041221E+00-0.894073064E+00 --0.896140933E+00-0.898216771E+00-0.900327221E+00-0.902473540E+00-0.904655729E+00 --0.906873786E+00-0.909127712E+00-0.911417506E+00-0.913728803E+00-0.916068465E+00 --0.100642504E+01-0.100478345E+01-0.100317614E+01-0.100160310E+01-0.100006434E+01 --0.998559847E+00-0.997089631E+00-0.995653379E+00-0.994252341E+00-0.992887711E+00 --0.991559491E+00-0.990267680E+00-0.989012278E+00-0.987787233E+00-0.986497338E+00 --0.985275937E+00-0.984090026E+00-0.982895729E+00-0.981693045E+00-0.980481975E+00 --0.979262519E+00-0.978034676E+00-0.976798446E+00-0.975553830E+00-0.974300828E+00 --0.973039439E+00-0.971772522E+00-0.970488623E+00-0.969162362E+00-0.967867114E+00 --0.966547999E+00-0.965196067E+00-0.963811318E+00-0.962393752E+00-0.960943369E+00 --0.959460170E+00-0.957944154E+00-0.956395321E+00-0.954813671E+00-0.953201142E+00 --0.951600243E+00-0.949957485E+00-0.948273669E+00-0.946531684E+00-0.944789709E+00 --0.943032092E+00-0.941248671E+00-0.939439447E+00-0.937604420E+00-0.935743590E+00 --0.933856956E+00-0.931944519E+00-0.930006280E+00-0.928042236E+00-0.926052390E+00 --0.924036741E+00-0.921995288E+00-0.919928032E+00-0.917834973E+00-0.915716111E+00 --0.913651360E+00-0.911590388E+00-0.909548714E+00-0.907503417E+00-0.905457074E+00 --0.903395159E+00-0.901332374E+00-0.899284628E+00-0.897251921E+00-0.895234253E+00 --0.893231625E+00-0.891244035E+00-0.889271485E+00-0.887313228E+00-0.885369783E+00 --0.883441917E+00-0.881529632E+00-0.879632926E+00-0.877751801E+00-0.875886420E+00 --0.874041514E+00-0.872216862E+00-0.870410265E+00-0.868625346E+00-0.866860486E+00 --0.865115007E+00-0.863389563E+00-0.861685615E+00-0.860003012E+00-0.858338561E+00 --0.856695999E+00-0.855073942E+00-0.853473929E+00-0.851894991E+00-0.850337623E+00 --0.848800560E+00-0.847284350E+00-0.845789781E+00-0.844316694E+00-0.842864097E+00 --0.841432587E+00-0.840023037E+00-0.838635405E+00-0.837268930E+00-0.835923342E+00 --0.834598641E+00-0.833294827E+00-0.832012207E+00-0.830750827E+00-0.829510777E+00 --0.828291882E+00-0.827094142E+00-0.825917482E+00-0.824761750E+00-0.823626962E+00 --0.822513118E+00-0.821420218E+00-0.820347834E+00-0.819296460E+00-0.818265795E+00 --0.817255796E+00-0.816266720E+00-0.815298568E+00-0.814350885E+00-0.813424164E+00 --0.812517891E+00-0.811631966E+00-0.810766762E+00-0.809922192E+00-0.809098017E+00 --0.808294237E+00-0.807510836E+00-0.806747692E+00-0.806004877E+00-0.805282337E+00 --0.804580144E+00-0.803898376E+00-0.803236631E+00-0.802594920E+00-0.801973319E+00 --0.801371835E+00-0.800790466E+00-0.800229086E+00-0.799687609E+00-0.799166034E+00 --0.798664362E+00-0.798182205E+00-0.797719974E+00-0.797277490E+00-0.796854523E+00 --0.796451188E+00-0.796067627E+00-0.795703457E+00-0.795358575E+00-0.795032981E+00 --0.794726676E+00-0.794439657E+00-0.794171849E+00-0.793923137E+00-0.793693425E+00 --0.793482776E+00-0.793291189E+00-0.793118341E+00-0.792963227E+00-0.792827806E+00 --0.792710713E+00-0.792611945E+00-0.792531505E+00-0.792469391E+00-0.792425699E+00 --0.792399966E+00-0.792392181E+00-0.792402322E+00-0.792430388E+00-0.792476376E+00 --0.792539758E+00-0.792620448E+00-0.792718448E+00-0.792833865E+00-0.792966862E+00 --0.793116786E+00-0.793283366E+00-0.793466763E+00-0.793667066E+00-0.793884107E+00 --0.794117497E+00-0.794367812E+00-0.794633938E+00-0.794915834E+00-0.795213961E+00 --0.795528318E+00-0.795858905E+00-0.796205199E+00-0.796566582E+00-0.796943149E+00 --0.797334975E+00-0.797742077E+00-0.798164452E+00-0.798602092E+00-0.799054253E+00 --0.799520836E+00-0.800001919E+00-0.800497633E+00-0.801007986E+00-0.801532632E+00 --0.802071057E+00-0.802623260E+00-0.803189242E+00-0.803768736E+00-0.804362009E+00 --0.804968776E+00-0.805588915E+00-0.806222427E+00-0.806868875E+00-0.807528089E+00 --0.808200124E+00-0.808885603E+00-0.809584384E+00-0.810294815E+00-0.811016893E+00 --0.811750621E+00-0.812496297E+00-0.813254561E+00-0.814025266E+00-0.814808413E+00 --0.815602043E+00-0.816404373E+00-0.817217446E+00-0.818045721E+00-0.818885671E+00 --0.819737295E+00-0.820600595E+00-0.821475569E+00-0.822362218E+00-0.823260542E+00 --0.824172142E+00-0.825096916E+00-0.826030747E+00-0.826973637E+00-0.827925584E+00 --0.828886589E+00-0.829856651E+00-0.830835771E+00-0.831823949E+00-0.832821185E+00 --0.833835417E+00-0.834867731E+00-0.835911324E+00-0.836964483E+00-0.838032241E+00 --0.839100218E+00-0.840185452E+00-0.841286630E+00-0.842400317E+00-0.843531276E+00 --0.844679504E+00-0.845845004E+00-0.847027773E+00-0.848227813E+00-0.849445124E+00 --0.850679705E+00-0.851929503E+00-0.853191769E+00-0.854467018E+00-0.855771799E+00 --0.857115571E+00-0.858488071E+00-0.859887107E+00-0.861312679E+00-0.862764786E+00 --0.864243429E+00-0.865748608E+00-0.867280322E+00-0.868838572E+00-0.870423358E+00 --0.872034680E+00-0.873681874E+00-0.875358353E+00-0.877063717E+00-0.878797964E+00 --0.880561096E+00-0.882353112E+00-0.884174012E+00-0.886023795E+00-0.887902463E+00 --0.889810791E+00-0.891754570E+00-0.893734375E+00-0.895750207E+00-0.897802066E+00 --0.899871772E+00-0.901955223E+00-0.904074543E+00-0.906229732E+00-0.908420790E+00 --0.910649865E+00-0.912910389E+00-0.915199714E+00-0.917517840E+00-0.919864767E+00 --0.100442174E+01-0.100273926E+01-0.100109238E+01-0.999482062E+00-0.997908150E+00 --0.996370646E+00-0.994869552E+00-0.993404866E+00-0.991976590E+00-0.990584722E+00 --0.989229264E+00-0.987910214E+00-0.986627574E+00-0.985330539E+00-0.984021783E+00 --0.982727928E+00-0.981504188E+00-0.980272062E+00-0.979031549E+00-0.977782650E+00 --0.976525364E+00-0.975259692E+00-0.973985633E+00-0.972703188E+00-0.971417906E+00 --0.970136475E+00-0.968855594E+00-0.967537086E+00-0.966205059E+00-0.964875884E+00 --0.963553606E+00-0.962198512E+00-0.960810601E+00-0.959389872E+00-0.957936328E+00 --0.956449966E+00-0.954930787E+00-0.953378792E+00-0.951820621E+00-0.950251977E+00 --0.948661515E+00-0.947027208E+00-0.945374740E+00-0.943685553E+00-0.941965043E+00 --0.940229203E+00-0.938499770E+00-0.936746156E+00-0.934966739E+00-0.933161519E+00 --0.931330495E+00-0.929473668E+00-0.927591038E+00-0.925682605E+00-0.923748369E+00 --0.921788329E+00-0.919802487E+00-0.917790841E+00-0.915784162E+00-0.913795300E+00 --0.911797208E+00-0.909804764E+00-0.907817814E+00-0.905830209E+00-0.903838542E+00 --0.901851888E+00-0.899871562E+00-0.897875984E+00-0.895895261E+00-0.893929578E+00 --0.891978934E+00-0.890043329E+00-0.888122763E+00-0.886217237E+00-0.884326749E+00 --0.882451301E+00-0.880590891E+00-0.878745521E+00-0.876915190E+00-0.875099308E+00 --0.873295655E+00-0.871510083E+00-0.869742592E+00-0.867992957E+00-0.866262536E+00 --0.864551496E+00-0.862859838E+00-0.861187562E+00-0.859533930E+00-0.857900600E+00 --0.856286945E+00-0.854693217E+00-0.853119309E+00-0.851565642E+00-0.850032311E+00 --0.848519594E+00-0.847027212E+00-0.845555121E+00-0.844103365E+00-0.842671943E+00 --0.841260842E+00-0.839870845E+00-0.838501346E+00-0.837152471E+00-0.835824548E+00 --0.834517471E+00-0.833230593E+00-0.831963961E+00-0.830718705E+00-0.829494003E+00 --0.828289857E+00-0.827106623E+00-0.825943496E+00-0.824801067E+00-0.823679544E+00 --0.822578770E+00-0.821498744E+00-0.820439426E+00-0.819400595E+00-0.818382219E+00 --0.817384299E+00-0.816406723E+00-0.815449346E+00-0.814513116E+00-0.813597394E+00 --0.812701995E+00-0.811826942E+00-0.810972129E+00-0.810138006E+00-0.809324214E+00 --0.808530755E+00-0.807757627E+00-0.807004833E+00-0.806272226E+00-0.805560006E+00 --0.804868180E+00-0.804196694E+00-0.803545235E+00-0.802913796E+00-0.802302375E+00 --0.801710943E+00-0.801139766E+00-0.800588509E+00-0.800057197E+00-0.799545869E+00 --0.799054524E+00-0.798583164E+00-0.798131567E+00-0.797699626E+00-0.797287460E+00 --0.796895028E+00-0.796522328E+00-0.796169266E+00-0.795835494E+00-0.795520982E+00 --0.795225799E+00-0.794950227E+00-0.794694289E+00-0.794457667E+00-0.794239900E+00 --0.794040988E+00-0.793860931E+00-0.793699730E+00-0.793557201E+00-0.793433907E+00 --0.793329206E+00-0.793243099E+00-0.793175585E+00-0.793126666E+00-0.793096128E+00 --0.793083500E+00-0.793088805E+00-0.793112043E+00-0.793153330E+00-0.793212628E+00 --0.793289490E+00-0.793383915E+00-0.793495904E+00-0.793625456E+00-0.793772574E+00 --0.793936882E+00-0.794117945E+00-0.794315764E+00-0.794530338E+00-0.794761784E+00 --0.795010374E+00-0.795275083E+00-0.795555946E+00-0.795853040E+00-0.796166364E+00 --0.796495918E+00-0.796841702E+00-0.797203100E+00-0.797580177E+00-0.797972675E+00 --0.798380447E+00-0.798803492E+00-0.799241811E+00-0.799695418E+00-0.800164229E+00 --0.800647486E+00-0.801145321E+00-0.801657788E+00-0.802184888E+00-0.802726515E+00 --0.803281952E+00-0.803851326E+00-0.804434950E+00-0.805032656E+00-0.805643760E+00 --0.806268686E+00-0.806907186E+00-0.807559058E+00-0.808224360E+00-0.808902742E+00 --0.809594086E+00-0.810298459E+00-0.811015775E+00-0.811745533E+00-0.812487732E+00 --0.813242372E+00-0.814009454E+00-0.814788977E+00-0.815580942E+00-0.816385348E+00 --0.817199729E+00-0.818026250E+00-0.818865046E+00-0.819715192E+00-0.820578065E+00 --0.821453685E+00-0.822341012E+00-0.823240013E+00-0.824150689E+00-0.825073039E+00 --0.826007065E+00-0.826958809E+00-0.827921227E+00-0.828892703E+00-0.829873237E+00 --0.830862828E+00-0.831861478E+00-0.832869185E+00-0.833886936E+00-0.834923529E+00 --0.835973314E+00-0.837036289E+00-0.838109049E+00-0.839195555E+00-0.840296774E+00 --0.841407501E+00-0.842529531E+00-0.843668818E+00-0.844825362E+00-0.845997894E+00 --0.847186161E+00-0.848391699E+00-0.849614507E+00-0.850854585E+00-0.852111934E+00 --0.853386554E+00-0.854678444E+00-0.855987604E+00-0.857314236E+00-0.858672604E+00 --0.860054925E+00-0.861462071E+00-0.862896897E+00-0.864358259E+00-0.865846156E+00 --0.867360589E+00-0.868901557E+00-0.870469062E+00-0.872063102E+00-0.873683677E+00 --0.875330748E+00-0.877005337E+00-0.878708810E+00-0.880441167E+00-0.882202408E+00 --0.883992533E+00-0.885811542E+00-0.887659435E+00-0.889536212E+00-0.891441873E+00 --0.893376418E+00-0.895339847E+00-0.897337574E+00-0.899373423E+00-0.901445298E+00 --0.903504619E+00-0.905596940E+00-0.907731263E+00-0.909912650E+00-0.912122837E+00 --0.914361825E+00-0.916629614E+00-0.918926203E+00-0.921251594E+00-0.923605785E+00 --0.100228160E+01-0.100057122E+01-0.998897249E+00-0.997259689E+00-0.995658538E+00 --0.994093796E+00-0.992565463E+00-0.991073539E+00-0.989618024E+00-0.988198918E+00 --0.986816221E+00-0.985469933E+00-0.984149275E+00-0.982807778E+00-0.981480160E+00 --0.980166421E+00-0.978880955E+00-0.977611000E+00-0.976332657E+00-0.975045929E+00 --0.973750814E+00-0.972447312E+00-0.971139224E+00-0.969842906E+00-0.968547139E+00 --0.967251922E+00-0.965944852E+00-0.964616454E+00-0.963278663E+00-0.961931477E+00 --0.960594717E+00-0.959236460E+00-0.957845387E+00-0.956421496E+00-0.954964789E+00 --0.953475265E+00-0.951964223E+00-0.950444973E+00-0.948908583E+00-0.947355052E+00 --0.945770175E+00-0.944161766E+00-0.942535197E+00-0.940890467E+00-0.939207234E+00 --0.937508198E+00-0.935793833E+00-0.934070702E+00-0.932346894E+00-0.930597284E+00 --0.928821870E+00-0.927020654E+00-0.925193634E+00-0.923340810E+00-0.921462184E+00 --0.919557755E+00-0.917631204E+00-0.915717808E+00-0.913795183E+00-0.911863328E+00 --0.909924960E+00-0.907993388E+00-0.906061161E+00-0.904128280E+00-0.902193701E+00 --0.900260409E+00-0.898333445E+00-0.896412809E+00-0.894494053E+00-0.892580354E+00 --0.890681695E+00-0.888798074E+00-0.886929493E+00-0.885075951E+00-0.883237448E+00 --0.881413984E+00-0.879605559E+00-0.877812173E+00-0.876017173E+00-0.874232173E+00 --0.872470201E+00-0.870724390E+00-0.868996004E+00-0.867281653E+00-0.865585671E+00 --0.863908870E+00-0.862249706E+00-0.860607903E+00-0.858985380E+00-0.857380886E+00 --0.855795953E+00-0.854230489E+00-0.852682685E+00-0.851155526E+00-0.849647429E+00 --0.848157781E+00-0.846687405E+00-0.845237376E+00-0.843807394E+00-0.842397458E+00 --0.841007568E+00-0.839637622E+00-0.838287391E+00-0.836957079E+00-0.835646966E+00 --0.834357052E+00-0.833087337E+00-0.831837790E+00-0.830607986E+00-0.829398737E+00 --0.828210113E+00-0.827041614E+00-0.825893062E+00-0.824764452E+00-0.823656227E+00 --0.822568750E+00-0.821501843E+00-0.820454839E+00-0.819428422E+00-0.818422606E+00 --0.817436936E+00-0.816471411E+00-0.815526032E+00-0.814601086E+00-0.813696364E+00 --0.812812031E+00-0.811948202E+00-0.811104576E+00-0.810281159E+00-0.809478083E+00 --0.808695339E+00-0.807932926E+00-0.807190758E+00-0.806468786E+00-0.805766994E+00 --0.805085535E+00-0.804424338E+00-0.803783165E+00-0.803162022E+00-0.802561104E+00 --0.801980418E+00-0.801419852E+00-0.800879277E+00-0.800358696E+00-0.799858127E+00 --0.799377570E+00-0.798916997E+00-0.798476407E+00-0.798055649E+00-0.797654593E+00 --0.797273241E+00-0.796911592E+00-0.796569589E+00-0.796247116E+00-0.795944254E+00 --0.795661002E+00-0.795397361E+00-0.795153329E+00-0.794928751E+00-0.794723070E+00 --0.794536243E+00-0.794368433E+00-0.794219975E+00-0.794090652E+00-0.793979994E+00 --0.793888228E+00-0.793815195E+00-0.793760756E+00-0.793724910E+00-0.793707739E+00 --0.793708593E+00-0.793727433E+00-0.793764508E+00-0.793819816E+00-0.793893334E+00 --0.793984550E+00-0.794093295E+00-0.794219570E+00-0.794363357E+00-0.794524663E+00 --0.794703389E+00-0.794899187E+00-0.795112144E+00-0.795342144E+00-0.795588581E+00 --0.795851890E+00-0.796132403E+00-0.796429066E+00-0.796741880E+00-0.797070843E+00 --0.797415957E+00-0.797777260E+00-0.798154533E+00-0.798547650E+00-0.798956452E+00 --0.799380663E+00-0.799820281E+00-0.800275308E+00-0.800745602E+00-0.801230809E+00 --0.801731230E+00-0.802246488E+00-0.802776238E+00-0.803320480E+00-0.803879317E+00 --0.804452528E+00-0.805039909E+00-0.805641543E+00-0.806257414E+00-0.806887188E+00 --0.807530740E+00-0.808188070E+00-0.808858411E+00-0.809542567E+00-0.810240113E+00 --0.810950957E+00-0.811674864E+00-0.812411179E+00-0.813161287E+00-0.813924745E+00 --0.814700645E+00-0.815488986E+00-0.816289769E+00-0.817102993E+00-0.817928461E+00 --0.818765399E+00-0.819615394E+00-0.820478447E+00-0.821353915E+00-0.822241449E+00 --0.823141711E+00-0.824054701E+00-0.824978199E+00-0.825912901E+00-0.826859279E+00 --0.827817332E+00-0.828790435E+00-0.829781440E+00-0.830781503E+00-0.831790624E+00 --0.832808802E+00-0.833836038E+00-0.834875792E+00-0.835929855E+00-0.836997109E+00 --0.838077554E+00-0.839170334E+00-0.840275470E+00-0.841395321E+00-0.842529886E+00 --0.843679165E+00-0.844838102E+00-0.846014185E+00-0.847207524E+00-0.848418121E+00 --0.849645975E+00-0.850891408E+00-0.852154255E+00-0.853434372E+00-0.854731759E+00 --0.856046417E+00-0.857378345E+00-0.858732478E+00-0.860107381E+00-0.861502290E+00 --0.862923672E+00-0.864367631E+00-0.865834315E+00-0.867327438E+00-0.868847001E+00 --0.870393002E+00-0.871968215E+00-0.873571509E+00-0.875201338E+00-0.876857704E+00 --0.878538086E+00-0.880239669E+00-0.881970135E+00-0.883729485E+00-0.885517719E+00 --0.887334838E+00-0.889180840E+00-0.891055726E+00-0.892959497E+00-0.894892151E+00 --0.896853690E+00-0.898844112E+00-0.900863419E+00-0.902911609E+00-0.904975409E+00 --0.907075246E+00-0.909206295E+00-0.911366145E+00-0.913554797E+00-0.915772248E+00 --0.918018501E+00-0.920293555E+00-0.922597409E+00-0.924930064E+00-0.927291520E+00 --0.100003828E+01-0.998313245E+00-0.996618777E+00-0.994954501E+00-0.993326111E+00 --0.991734131E+00-0.990178560E+00-0.988659397E+00-0.987176644E+00-0.985730299E+00 --0.984320364E+00-0.982946838E+00-0.981579307E+00-0.980218949E+00-0.978872469E+00 --0.977539868E+00-0.976221146E+00-0.974912542E+00-0.973596371E+00-0.972271813E+00 --0.970938869E+00-0.969625270E+00-0.968314617E+00-0.967004514E+00-0.965694962E+00 --0.964385661E+00-0.963060892E+00-0.961726729E+00-0.960383173E+00-0.959030222E+00 --0.957671331E+00-0.956309912E+00-0.954915676E+00-0.953488623E+00-0.952031050E+00 --0.950561195E+00-0.949074199E+00-0.947570063E+00-0.946048786E+00-0.944508018E+00 --0.942943669E+00-0.941361159E+00-0.939760488E+00-0.938141657E+00-0.936500942E+00 --0.934838712E+00-0.933161151E+00-0.931468261E+00-0.929760040E+00-0.928050886E+00 --0.926331082E+00-0.924585475E+00-0.922814065E+00-0.921016852E+00-0.919193836E+00 --0.917354555E+00-0.915507396E+00-0.913651007E+00-0.911785389E+00-0.909910541E+00 --0.908033109E+00-0.906156260E+00-0.904278757E+00-0.902400599E+00-0.900521786E+00 --0.898642623E+00-0.896769021E+00-0.894901746E+00-0.893040798E+00-0.891186178E+00 --0.889339906E+00-0.887508270E+00-0.885691673E+00-0.883890116E+00-0.882103597E+00 --0.880332118E+00-0.878561133E+00-0.876796289E+00-0.875041885E+00-0.873298351E+00 --0.871573711E+00-0.869865214E+00-0.868172447E+00-0.866495279E+00-0.864834068E+00 --0.863190219E+00-0.861563731E+00-0.859954833E+00-0.858362426E+00-0.856786113E+00 --0.855228507E+00-0.853689853E+00-0.852169822E+00-0.850668587E+00-0.849184689E+00 --0.847719239E+00-0.846272237E+00-0.844843777E+00-0.843435204E+00-0.842046677E+00 --0.840677982E+00-0.839327364E+00-0.837995682E+00-0.836683850E+00-0.835391784E+00 --0.834119484E+00-0.832866951E+00-0.831633918E+00-0.830420399E+00-0.829226748E+00 --0.828053045E+00-0.826899288E+00-0.825765479E+00-0.824651618E+00-0.823557703E+00 --0.822483731E+00-0.821429620E+00-0.820395661E+00-0.819381847E+00-0.818388178E+00 --0.817414655E+00-0.816461278E+00-0.815528047E+00-0.814614961E+00-0.813721923E+00 --0.812849146E+00-0.811996539E+00-0.811164135E+00-0.810351934E+00-0.809559913E+00 --0.808788023E+00-0.808036473E+00-0.807305119E+00-0.806593960E+00-0.805902998E+00 --0.805232210E+00-0.804581423E+00-0.803950917E+00-0.803340642E+00-0.802750598E+00 --0.802180786E+00-0.801631216E+00-0.801101678E+00-0.800592133E+00-0.800102581E+00 --0.799633024E+00-0.799183460E+00-0.798753890E+00-0.798344252E+00-0.797954512E+00 --0.797584705E+00-0.797234828E+00-0.796904877E+00-0.796594593E+00-0.796303867E+00 --0.796032698E+00-0.795781059E+00-0.795548959E+00-0.795336396E+00-0.795142906E+00 --0.794968931E+00-0.794814276E+00-0.794678940E+00-0.794562867E+00-0.794465639E+00 --0.794387292E+00-0.794327827E+00-0.794286894E+00-0.794264129E+00-0.794260543E+00 --0.794275473E+00-0.794308635E+00-0.794360030E+00-0.794429658E+00-0.794517518E+00 --0.794623341E+00-0.794746763E+00-0.794887946E+00-0.795046890E+00-0.795223164E+00 --0.795416889E+00-0.795627947E+00-0.795856163E+00-0.796101682E+00-0.796364072E+00 --0.796643315E+00-0.796939412E+00-0.797251854E+00-0.797580440E+00-0.797925509E+00 --0.798287036E+00-0.798664984E+00-0.799059096E+00-0.799468888E+00-0.799894353E+00 --0.800335491E+00-0.800791909E+00-0.801263801E+00-0.801751199E+00-0.802253766E+00 --0.802771505E+00-0.803304242E+00-0.803851590E+00-0.804413820E+00-0.804990933E+00 --0.805582683E+00-0.806188624E+00-0.806808753E+00-0.807443010E+00-0.808091453E+00 --0.808753676E+00-0.809429810E+00-0.810119875E+00-0.810823422E+00-0.811540666E+00 --0.812271491E+00-0.813015766E+00-0.813773206E+00-0.814543984E+00-0.815328101E+00 --0.816125293E+00-0.816934894E+00-0.817756936E+00-0.818591419E+00-0.819438643E+00 --0.820299055E+00-0.821172524E+00-0.822059051E+00-0.822958635E+00-0.823870979E+00 --0.824795902E+00-0.825733553E+00-0.826683931E+00-0.827647037E+00-0.828619261E+00 --0.829601340E+00-0.830595095E+00-0.831611387E+00-0.832640037E+00-0.833677744E+00 --0.834724520E+00-0.835782861E+00-0.836854394E+00-0.837939117E+00-0.839037033E+00 --0.840148139E+00-0.841272104E+00-0.842410586E+00-0.843563782E+00-0.844731692E+00 --0.845914317E+00-0.847111165E+00-0.848324043E+00-0.849554178E+00-0.850801571E+00 --0.852066220E+00-0.853348127E+00-0.854647291E+00-0.855967172E+00-0.857304598E+00 --0.858658319E+00-0.860031039E+00-0.861423765E+00-0.862836498E+00-0.864269238E+00 --0.865724962E+00-0.867205437E+00-0.868709511E+00-0.870236360E+00-0.871789649E+00 --0.873369376E+00-0.874975543E+00-0.876608149E+00-0.878267195E+00-0.879952679E+00 --0.881659085E+00-0.883388542E+00-0.885146756E+00-0.886933727E+00-0.888749457E+00 --0.890593944E+00-0.892467190E+00-0.894369193E+00-0.896299953E+00-0.898259472E+00 --0.900247748E+00-0.902264782E+00-0.904305972E+00-0.906371898E+00-0.908469098E+00 --0.910613367E+00-0.912778629E+00-0.914945744E+00-0.917141660E+00-0.919366376E+00 --0.921619894E+00-0.923902212E+00-0.926213331E+00-0.928553251E+00-0.930921971E+00 --0.997627774E+00-0.995898097E+00-0.994198988E+00-0.992530447E+00-0.990892474E+00 --0.989285070E+00-0.987708234E+00-0.986162441E+00-0.984652449E+00-0.983178866E+00 --0.981741692E+00-0.980336369E+00-0.978943271E+00-0.977564051E+00-0.976198710E+00 --0.974847248E+00-0.973509664E+00-0.972176690E+00-0.970822689E+00-0.969483567E+00 --0.968158027E+00-0.966833039E+00-0.965508601E+00-0.964184714E+00-0.962861377E+00 --0.961538372E+00-0.960207838E+00-0.958867911E+00-0.957518589E+00-0.956159873E+00 --0.954791764E+00-0.953418867E+00-0.952021469E+00-0.950600641E+00-0.949163040E+00 --0.947708298E+00-0.946236416E+00-0.944747393E+00-0.943241229E+00-0.941720448E+00 --0.940181998E+00-0.938625387E+00-0.937050614E+00-0.935457681E+00-0.933846586E+00 --0.932220743E+00-0.930579987E+00-0.928923901E+00-0.927252486E+00-0.925565740E+00 --0.923863665E+00-0.922168134E+00-0.920452334E+00-0.918705542E+00-0.916933848E+00 --0.915152926E+00-0.913362773E+00-0.911563392E+00-0.909754781E+00-0.907936976E+00 --0.906115505E+00-0.904293380E+00-0.902470600E+00-0.900647165E+00-0.898823076E+00 --0.896998529E+00-0.895178288E+00-0.893364375E+00-0.891556789E+00-0.889755531E+00 --0.887960601E+00-0.886173917E+00-0.884409305E+00-0.882659732E+00-0.880913248E+00 --0.879169321E+00-0.877435833E+00-0.875712785E+00-0.874000177E+00-0.872298108E+00 --0.870610803E+00-0.868939062E+00-0.867280650E+00-0.865638316E+00-0.864011836E+00 --0.862400763E+00-0.860806540E+00-0.859227753E+00-0.857664979E+00-0.856118219E+00 --0.854588104E+00-0.853076572E+00-0.851581600E+00-0.850104197E+00-0.848644759E+00 --0.847203072E+00-0.845780176E+00-0.844375820E+00-0.842988710E+00-0.841621511E+00 --0.840272283E+00-0.838941421E+00-0.837628909E+00-0.836335292E+00-0.835061132E+00 --0.833806259E+00-0.832570684E+00-0.831354889E+00-0.830157951E+00-0.828979687E+00 --0.827820795E+00-0.826681851E+00-0.825562853E+00-0.824463803E+00-0.823384442E+00 --0.822324427E+00-0.821283771E+00-0.820262493E+00-0.819261215E+00-0.818280083E+00 --0.817319096E+00-0.816378254E+00-0.815457403E+00-0.814556235E+00-0.813674795E+00 --0.812813413E+00-0.811972280E+00-0.811151321E+00-0.810350537E+00-0.809569814E+00 --0.808809048E+00-0.808068480E+00-0.807348154E+00-0.806648030E+00-0.805968109E+00 --0.805308374E+00-0.804668785E+00-0.804049363E+00-0.803450107E+00-0.802871017E+00 --0.802312088E+00-0.801773479E+00-0.801254975E+00-0.800756515E+00-0.800278203E+00 --0.799820037E+00-0.799382018E+00-0.798964094E+00-0.798566064E+00-0.798188148E+00 --0.797830250E+00-0.797492239E+00-0.797174301E+00-0.796876362E+00-0.796597981E+00 --0.796339157E+00-0.796099890E+00-0.795880826E+00-0.795680897E+00-0.795500253E+00 --0.795339659E+00-0.795198375E+00-0.795076404E+00-0.794973762E+00-0.794890226E+00 --0.794825547E+00-0.794779726E+00-0.794752762E+00-0.794744669E+00-0.794755153E+00 --0.794784548E+00-0.794832327E+00-0.794898490E+00-0.794983037E+00-0.795085720E+00 --0.795206417E+00-0.795345196E+00-0.795501641E+00-0.795675935E+00-0.795867900E+00 --0.796077364E+00-0.796304018E+00-0.796548287E+00-0.796809777E+00-0.797088120E+00 --0.797383421E+00-0.797695802E+00-0.798024518E+00-0.798370165E+00-0.798732117E+00 --0.799110372E+00-0.799504984E+00-0.799915928E+00-0.800342631E+00-0.800785208E+00 --0.801243668E+00-0.801717803E+00-0.802206960E+00-0.802712284E+00-0.803232887E+00 --0.803768767E+00-0.804319682E+00-0.804885195E+00-0.805465563E+00-0.806060967E+00 --0.806671225E+00-0.807295756E+00-0.807934733E+00-0.808588257E+00-0.809255484E+00 --0.809937582E+00-0.810633650E+00-0.811343649E+00-0.812067418E+00-0.812804789E+00 --0.813555671E+00-0.814320315E+00-0.815098879E+00-0.815890781E+00-0.816696022E+00 --0.817514603E+00-0.818346522E+00-0.819190478E+00-0.820046221E+00-0.820916809E+00 --0.821800696E+00-0.822697639E+00-0.823607640E+00-0.824530698E+00-0.825466813E+00 --0.826416238E+00-0.827378550E+00-0.828353590E+00-0.829341357E+00-0.830341852E+00 --0.831355073E+00-0.832376873E+00-0.833411067E+00-0.834468304E+00-0.835532332E+00 --0.836608143E+00-0.837697145E+00-0.838799339E+00-0.839914724E+00-0.841043300E+00 --0.842185456E+00-0.843342569E+00-0.844514396E+00-0.845700938E+00-0.846902194E+00 --0.848118164E+00-0.849348848E+00-0.850598393E+00-0.851865324E+00-0.853149512E+00 --0.854450957E+00-0.855769611E+00-0.857101953E+00-0.858452446E+00-0.859821835E+00 --0.861210141E+00-0.862620468E+00-0.864051025E+00-0.865501589E+00-0.866972160E+00 --0.868463556E+00-0.869978913E+00-0.871517899E+00-0.873080513E+00-0.874667533E+00 --0.876279940E+00-0.877917412E+00-0.879579951E+00-0.881267557E+00-0.882980608E+00 --0.884719520E+00-0.886477421E+00-0.888261782E+00-0.890074900E+00-0.891916776E+00 --0.893787410E+00-0.895686801E+00-0.897614950E+00-0.899571858E+00-0.901556080E+00 --0.903565836E+00-0.905601491E+00-0.907663047E+00-0.909750502E+00-0.911863858E+00 --0.914018905E+00-0.916204060E+00-0.918413270E+00-0.920646535E+00-0.922903856E+00 --0.925166003E+00-0.927455585E+00-0.929773969E+00-0.932121154E+00-0.934497139E+00 --0.995050343E+00-0.993316025E+00-0.991612274E+00-0.989939093E+00-0.988296479E+00 --0.986684434E+00-0.985102957E+00-0.983552048E+00-0.982031708E+00-0.980541936E+00 --0.979081061E+00-0.977646984E+00-0.976237727E+00-0.974842348E+00-0.973460848E+00 --0.972093226E+00-0.970739482E+00-0.969395017E+00-0.968053888E+00-0.966717198E+00 --0.965381059E+00-0.964045471E+00-0.962710434E+00-0.961375947E+00-0.960041383E+00 --0.958710478E+00-0.957376026E+00-0.956032180E+00-0.954678941E+00-0.953316307E+00 --0.951944279E+00-0.950561121E+00-0.949170204E+00-0.947764478E+00-0.946341611E+00 --0.944901603E+00-0.943444455E+00-0.941970166E+00-0.940483633E+00-0.938988034E+00 --0.937475276E+00-0.935944357E+00-0.934395276E+00-0.932828035E+00-0.931242633E+00 --0.929647775E+00-0.928042902E+00-0.926422821E+00-0.924787411E+00-0.923136671E+00 --0.921470602E+00-0.919789268E+00-0.918096190E+00-0.916387481E+00-0.914669543E+00 --0.912942375E+00-0.911205978E+00-0.909460351E+00-0.907706031E+00-0.905945784E+00 --0.904177356E+00-0.902408274E+00-0.900638537E+00-0.898868145E+00-0.897097099E+00 --0.895326999E+00-0.893560645E+00-0.891797620E+00-0.890040922E+00-0.888290552E+00 --0.886546509E+00-0.884808794E+00-0.883078552E+00-0.881356041E+00-0.879642535E+00 --0.877939469E+00-0.876246843E+00-0.874564656E+00-0.872892908E+00-0.871232597E+00 --0.869583866E+00-0.867947948E+00-0.866325217E+00-0.864715576E+00-0.863121126E+00 --0.861542364E+00-0.859978000E+00-0.858428103E+00-0.856894220E+00-0.855376352E+00 --0.853874795E+00-0.852390159E+00-0.850921495E+00-0.849469070E+00-0.848033180E+00 --0.846615041E+00-0.845214652E+00-0.843832013E+00-0.842467912E+00-0.841120529E+00 --0.839791743E+00-0.838480907E+00-0.837188021E+00-0.835913069E+00-0.834656667E+00 --0.833419563E+00-0.832201541E+00-0.831002171E+00-0.829821499E+00-0.828659525E+00 --0.827516248E+00-0.826392054E+00-0.825287742E+00-0.824202795E+00-0.823137208E+00 --0.822090979E+00-0.821064110E+00-0.820056600E+00-0.819068448E+00-0.818099822E+00 --0.817151376E+00-0.816222884E+00-0.815314121E+00-0.814425087E+00-0.813555781E+00 --0.812706205E+00-0.811876525E+00-0.811067025E+00-0.810277675E+00-0.809508359E+00 --0.808759076E+00-0.808029825E+00-0.807320616E+00-0.806631577E+00-0.805962740E+00 --0.805314154E+00-0.804685738E+00-0.804077487E+00-0.803489402E+00-0.802921553E+00 --0.802373981E+00-0.801846685E+00-0.801339606E+00-0.800852699E+00-0.800385965E+00 --0.799939383E+00-0.799512946E+00-0.799106822E+00-0.798720816E+00-0.798354923E+00 --0.798009143E+00-0.797683476E+00-0.797377818E+00-0.797092220E+00-0.796826489E+00 --0.796580661E+00-0.796354734E+00-0.796148320E+00-0.795961755E+00-0.795794822E+00 --0.795647348E+00-0.795519726E+00-0.795411431E+00-0.795322650E+00-0.795253215E+00 --0.795202637E+00-0.795171009E+00-0.795158822E+00-0.795165822E+00-0.795191334E+00 --0.795235435E+00-0.795298125E+00-0.795379296E+00-0.795479098E+00-0.795597191E+00 --0.795733418E+00-0.795887799E+00-0.796060422E+00-0.796250756E+00-0.796458739E+00 --0.796684304E+00-0.796927091E+00-0.797187603E+00-0.797465570E+00-0.797760617E+00 --0.798072743E+00-0.798401731E+00-0.798747459E+00-0.799110170E+00-0.799489473E+00 --0.799885080E+00-0.800296969E+00-0.800725056E+00-0.801169363E+00-0.801629683E+00 --0.802105888E+00-0.802597555E+00-0.803105149E+00-0.803628692E+00-0.804167679E+00 --0.804721944E+00-0.805291547E+00-0.805876022E+00-0.806475255E+00-0.807089237E+00 --0.807718080E+00-0.808361784E+00-0.809020210E+00-0.809693292E+00-0.810380674E+00 --0.811082487E+00-0.811798517E+00-0.812528451E+00-0.813272621E+00-0.814030691E+00 --0.814802410E+00-0.815587926E+00-0.816387740E+00-0.817201026E+00-0.818027651E+00 --0.818867615E+00-0.819720918E+00-0.820587560E+00-0.821467686E+00-0.822361811E+00 --0.823269249E+00-0.824189745E+00-0.825123297E+00-0.826069907E+00-0.827029575E+00 --0.828002445E+00-0.828989239E+00-0.829989285E+00-0.831002058E+00-0.832027559E+00 --0.833065786E+00-0.834116741E+00-0.835180878E+00-0.836259755E+00-0.837352525E+00 --0.838458487E+00-0.839577639E+00-0.840709984E+00-0.841855519E+00-0.843014585E+00 --0.844189589E+00-0.845379518E+00-0.846584162E+00-0.847803520E+00-0.849037592E+00 --0.850286379E+00-0.851549946E+00-0.852832718E+00-0.854132819E+00-0.855449228E+00 --0.856781943E+00-0.858130965E+00-0.859498766E+00-0.860885332E+00-0.862290010E+00 --0.863712019E+00-0.865155181E+00-0.866619496E+00-0.868104963E+00-0.869611583E+00 --0.871139657E+00-0.872689625E+00-0.874262174E+00-0.875857404E+00-0.877476976E+00 --0.879120387E+00-0.880787858E+00-0.882480180E+00-0.884197569E+00-0.885939769E+00 --0.887706438E+00-0.889496359E+00-0.891306866E+00-0.893146131E+00-0.895014153E+00 --0.896910933E+00-0.898837118E+00-0.900790704E+00-0.902770189E+00-0.904775574E+00 --0.906806859E+00-0.908864044E+00-0.910947129E+00-0.913056113E+00-0.915190997E+00 --0.917356197E+00-0.919558183E+00-0.921784223E+00-0.924034319E+00-0.926308470E+00 --0.928606676E+00-0.930928936E+00-0.933275252E+00-0.935633773E+00-0.938017023E+00 --0.992305988E+00-0.990567029E+00-0.988858638E+00-0.987180815E+00-0.985533560E+00 --0.983916874E+00-0.982330756E+00-0.980776064E+00-0.979257199E+00-0.977771311E+00 --0.976318400E+00-0.974882690E+00-0.973458656E+00-0.972051856E+00-0.970662282E+00 --0.969287211E+00-0.967923533E+00-0.966567698E+00-0.965219707E+00-0.963879558E+00 --0.962543435E+00-0.961206779E+00-0.959872120E+00-0.958538303E+00-0.957202881E+00 --0.955865852E+00-0.954527216E+00-0.953184750E+00-0.951833120E+00-0.950473477E+00 --0.949105413E+00-0.947727907E+00-0.946340960E+00-0.944944570E+00-0.943535310E+00 --0.942108902E+00-0.940667645E+00-0.939214116E+00-0.937748061E+00-0.936269480E+00 --0.934778381E+00-0.933272537E+00-0.931748532E+00-0.930209081E+00-0.928657299E+00 --0.927093145E+00-0.925516617E+00-0.923927896E+00-0.922326100E+00-0.920708974E+00 --0.919077483E+00-0.917435384E+00-0.915782689E+00-0.914119398E+00-0.912445642E+00 --0.910762496E+00-0.909069882E+00-0.907368761E+00-0.905662506E+00-0.903951115E+00 --0.902234590E+00-0.900513732E+00-0.898792010E+00-0.897069365E+00-0.895346880E+00 --0.893626189E+00-0.891907290E+00-0.890190186E+00-0.888476621E+00-0.886769737E+00 --0.885068746E+00-0.883373906E+00-0.881686048E+00-0.880005171E+00-0.878331274E+00 --0.876666068E+00-0.875011505E+00-0.873366853E+00-0.871732439E+00-0.870108779E+00 --0.868495873E+00-0.866893721E+00-0.865306149E+00-0.863729199E+00-0.862168240E+00 --0.860620689E+00-0.859086246E+00-0.857564909E+00-0.856058183E+00-0.854567535E+00 --0.853092854E+00-0.851633395E+00-0.850189906E+00-0.848762386E+00-0.847351363E+00 --0.845956684E+00-0.844578907E+00-0.843217879E+00-0.841874017E+00-0.840549051E+00 --0.839239701E+00-0.837947931E+00-0.836674157E+00-0.835418311E+00-0.834180368E+00 --0.832960668E+00-0.831758867E+00-0.830575848E+00-0.829411670E+00-0.828265874E+00 --0.827138460E+00-0.826029545E+00-0.824940153E+00-0.823868995E+00-0.822817059E+00 --0.821784485E+00-0.820771272E+00-0.819777422E+00-0.818802934E+00-0.817847370E+00 --0.816911293E+00-0.815995074E+00-0.815098525E+00-0.814221644E+00-0.813364431E+00 --0.812526945E+00-0.811709232E+00-0.810911278E+00-0.810133414E+00-0.809375582E+00 --0.808637782E+00-0.807920013E+00-0.807222277E+00-0.806544573E+00-0.805886929E+00 --0.805249507E+00-0.804632362E+00-0.804035493E+00-0.803458900E+00-0.802902583E+00 --0.802366543E+00-0.801850778E+00-0.801355329E+00-0.800880083E+00-0.800425011E+00 --0.799990200E+00-0.799575851E+00-0.799181978E+00-0.798808282E+00-0.798454728E+00 --0.798121316E+00-0.797807936E+00-0.797514747E+00-0.797242040E+00-0.796989302E+00 --0.796756466E+00-0.796543462E+00-0.796350576E+00-0.796177992E+00-0.796025336E+00 --0.795892147E+00-0.795778437E+00-0.795684005E+00-0.795609226E+00-0.795553882E+00 --0.795517883E+00-0.795501387E+00-0.795504394E+00-0.795526639E+00-0.795567498E+00 --0.795626946E+00-0.795705112E+00-0.795802335E+00-0.795917780E+00-0.796051722E+00 --0.796204022E+00-0.796374610E+00-0.796563493E+00-0.796770175E+00-0.796994640E+00 --0.797236793E+00-0.797496632E+00-0.797774155E+00-0.798069364E+00-0.798381320E+00 --0.798710422E+00-0.799056790E+00-0.799420123E+00-0.799800421E+00-0.800197274E+00 --0.800610401E+00-0.801040351E+00-0.801486503E+00-0.801948856E+00-0.802427411E+00 --0.802921712E+00-0.803431996E+00-0.803958252E+00-0.804500479E+00-0.805058093E+00 --0.805630742E+00-0.806219321E+00-0.806822758E+00-0.807441225E+00-0.808074770E+00 --0.808723318E+00-0.809386868E+00-0.810065238E+00-0.810757942E+00-0.811465479E+00 --0.812187448E+00-0.812923847E+00-0.813674280E+00-0.814438851E+00-0.815217738E+00 --0.816010652E+00-0.816817585E+00-0.817638539E+00-0.818473513E+00-0.819322291E+00 --0.820184415E+00-0.821060010E+00-0.821949392E+00-0.822852496E+00-0.823769322E+00 --0.824699870E+00-0.825644062E+00-0.826601400E+00-0.827571864E+00-0.828555919E+00 --0.829553586E+00-0.830564864E+00-0.831589755E+00-0.832628266E+00-0.833679803E+00 --0.834744097E+00-0.835822060E+00-0.836914031E+00-0.838020008E+00-0.839139993E+00 --0.840274041E+00-0.841421817E+00-0.842582784E+00-0.843757692E+00-0.844947707E+00 --0.846152839E+00-0.847373087E+00-0.848608469E+00-0.849859060E+00-0.851124365E+00 --0.852405709E+00-0.853703072E+00-0.855016827E+00-0.856348524E+00-0.857697919E+00 --0.859063599E+00-0.860446634E+00-0.861847888E+00-0.863267361E+00-0.864705054E+00 --0.866161235E+00-0.867638101E+00-0.869136119E+00-0.870655289E+00-0.872194891E+00 --0.873755167E+00-0.875337622E+00-0.876942708E+00-0.878570296E+00-0.880220590E+00 --0.881894179E+00-0.883591701E+00-0.885313241E+00-0.887058644E+00-0.888828590E+00 --0.890623016E+00-0.892441910E+00-0.894282009E+00-0.896149087E+00-0.898046502E+00 --0.899969817E+00-0.901919032E+00-0.903894146E+00-0.905895161E+00-0.907922075E+00 --0.909974889E+00-0.912053603E+00-0.914158217E+00-0.916288730E+00-0.918445143E+00 --0.920627457E+00-0.922844059E+00-0.925086931E+00-0.927353857E+00-0.929644838E+00 --0.931959875E+00-0.934298966E+00-0.936662112E+00-0.939049314E+00-0.941460570E+00 --0.989394710E+00-0.987651109E+00-0.985938077E+00-0.984255613E+00-0.982603718E+00 --0.980995635E+00-0.979421553E+00-0.977880448E+00-0.976372319E+00-0.974897167E+00 --0.973454991E+00-0.972022335E+00-0.970598887E+00-0.969190088E+00-0.967798998E+00 --0.966424230E+00-0.965059622E+00-0.963702857E+00-0.962353936E+00-0.961012857E+00 --0.959677156E+00-0.958344357E+00-0.957014684E+00-0.955683406E+00-0.954350521E+00 --0.953016030E+00-0.951679932E+00-0.950338981E+00-0.948991527E+00-0.947640820E+00 --0.946281679E+00-0.944913097E+00-0.943535072E+00-0.942147606E+00-0.940748501E+00 --0.939339600E+00-0.937918464E+00-0.936484802E+00-0.935038613E+00-0.933579898E+00 --0.932108656E+00-0.930625270E+00-0.929127469E+00-0.927617081E+00-0.926094319E+00 --0.924559184E+00-0.923011676E+00-0.921452839E+00-0.919883023E+00-0.918301284E+00 --0.916707964E+00-0.915104049E+00-0.913489536E+00-0.911864428E+00-0.910228723E+00 --0.908586228E+00-0.906937386E+00-0.905280804E+00-0.903619086E+00-0.901952234E+00 --0.900280247E+00-0.898605584E+00-0.896929738E+00-0.895249727E+00-0.893571356E+00 --0.891894779E+00-0.890219996E+00-0.888547005E+00-0.886875808E+00-0.885212349E+00 --0.883551025E+00-0.881895742E+00-0.880247440E+00-0.878606118E+00-0.876971778E+00 --0.875345157E+00-0.873727333E+00-0.872117609E+00-0.870517887E+00-0.868928918E+00 --0.867350703E+00-0.865783251E+00-0.864227874E+00-0.862683220E+00-0.861151724E+00 --0.859633744E+00-0.858128960E+00-0.856637282E+00-0.855158712E+00-0.853694244E+00 --0.852246831E+00-0.850812595E+00-0.849394054E+00-0.847991181E+00-0.846602966E+00 --0.845230637E+00-0.843875060E+00-0.842536384E+00-0.841213435E+00-0.839907038E+00 --0.838618040E+00-0.837345463E+00-0.836090049E+00-0.834852630E+00-0.833633206E+00 --0.832431218E+00-0.831246527E+00-0.830080027E+00-0.828931460E+00-0.827801234E+00 --0.826689390E+00-0.825595959E+00-0.824521053E+00-0.823464624E+00-0.822426671E+00 --0.821407688E+00-0.820408067E+00-0.819427662E+00-0.818466172E+00-0.817523596E+00 --0.816600061E+00-0.815696126E+00-0.814811861E+00-0.813947265E+00-0.813102337E+00 --0.812276914E+00-0.811470845E+00-0.810684533E+00-0.809918311E+00-0.809171967E+00 --0.808445655E+00-0.807739375E+00-0.807053127E+00-0.806386892E+00-0.805740769E+00 --0.805114898E+00-0.804509318E+00-0.803924013E+00-0.803358985E+00-0.802814232E+00 --0.802289756E+00-0.801785556E+00-0.801301667E+00-0.800838183E+00-0.800395186E+00 --0.799972654E+00-0.799570587E+00-0.799188990E+00-0.798827711E+00-0.798486573E+00 --0.798165631E+00-0.797865170E+00-0.797585232E+00-0.797325767E+00-0.797086020E+00 --0.796866364E+00-0.796667157E+00-0.796488252E+00-0.796329649E+00-0.796191201E+00 --0.796072297E+00-0.795972872E+00-0.795893388E+00-0.795833741E+00-0.795793387E+00 --0.795772582E+00-0.795771281E+00-0.795789503E+00-0.795827120E+00-0.795883432E+00 --0.795958845E+00-0.796053401E+00-0.796167024E+00-0.796299099E+00-0.796449507E+00 --0.796618248E+00-0.796805245E+00-0.797011255E+00-0.797235080E+00-0.797476530E+00 --0.797735761E+00-0.798012775E+00-0.798307570E+00-0.798620147E+00-0.798950016E+00 --0.799297175E+00-0.799661410E+00-0.800042552E+00-0.800440601E+00-0.800855506E+00 --0.801286996E+00-0.801735144E+00-0.802199725E+00-0.802680739E+00-0.803178178E+00 --0.803691636E+00-0.804220914E+00-0.804766010E+00-0.805326932E+00-0.805903793E+00 --0.806495360E+00-0.807103195E+00-0.807726442E+00-0.808364691E+00-0.809017942E+00 --0.809686260E+00-0.810369797E+00-0.811068559E+00-0.811781657E+00-0.812509692E+00 --0.813252188E+00-0.814009093E+00-0.814780399E+00-0.815566090E+00-0.816366393E+00 --0.817180931E+00-0.818009489E+00-0.818852067E+00-0.819708665E+00-0.820579337E+00 --0.821463983E+00-0.822362452E+00-0.823274936E+00-0.824201141E+00-0.825141068E+00 --0.826094717E+00-0.827062062E+00-0.828043212E+00-0.829038366E+00-0.830047246E+00 --0.831069738E+00-0.832105842E+00-0.833155557E+00-0.834218875E+00-0.835296168E+00 --0.836387465E+00-0.837492577E+00-0.838611697E+00-0.839744824E+00-0.840891957E+00 --0.842053098E+00-0.843229118E+00-0.844418450E+00-0.845623171E+00-0.846843054E+00 --0.848078053E+00-0.849328169E+00-0.850593400E+00-0.851873747E+00-0.853170461E+00 --0.854483218E+00-0.855811778E+00-0.857156672E+00-0.858519404E+00-0.859899836E+00 --0.861296477E+00-0.862711992E+00-0.864146153E+00-0.865598533E+00-0.867069132E+00 --0.868557950E+00-0.870068358E+00-0.871599513E+00-0.873149698E+00-0.874720642E+00 --0.876312442E+00-0.877926141E+00-0.879561810E+00-0.881219682E+00-0.882900204E+00 --0.884603886E+00-0.886330860E+00-0.888080847E+00-0.889854261E+00-0.891651657E+00 --0.893473484E+00-0.895320260E+00-0.897191094E+00-0.899088195E+00-0.901010298E+00 --0.902957208E+00-0.904927951E+00-0.906924595E+00-0.908947139E+00-0.910995582E+00 --0.913069925E+00-0.915170168E+00-0.917296311E+00-0.919448353E+00-0.921626296E+00 --0.923830138E+00-0.926061691E+00-0.928321393E+00-0.930605150E+00-0.932912961E+00 --0.935244828E+00-0.937600750E+00-0.939980727E+00-0.942384759E+00-0.944812846E+00 --0.986316507E+00-0.984568266E+00-0.982865697E+00-0.981203421E+00-0.979574122E+00 --0.977977800E+00-0.976414454E+00-0.974884084E+00-0.973386691E+00-0.971922274E+00 --0.970490834E+00-0.969061231E+00-0.967649208E+00-0.966253683E+00-0.964874295E+00 --0.963505888E+00-0.962145355E+00-0.960793505E+00-0.959449827E+00-0.958112623E+00 --0.956780922E+00-0.955454724E+00-0.954131891E+00-0.952807615E+00-0.951481734E+00 --0.950155090E+00-0.948825346E+00-0.947491170E+00-0.946152562E+00-0.944809521E+00 --0.943462048E+00-0.942106960E+00-0.940739827E+00-0.939364264E+00-0.937980316E+00 --0.936587981E+00-0.935186720E+00-0.933773349E+00-0.932347452E+00-0.930909029E+00 --0.929458938E+00-0.927999142E+00-0.926528665E+00-0.925045902E+00-0.923550845E+00 --0.922044355E+00-0.920526581E+00-0.918996978E+00-0.917456963E+00-0.915908133E+00 --0.914350488E+00-0.912782736E+00-0.911204262E+00-0.909615069E+00-0.908018628E+00 --0.906416039E+00-0.904807305E+00-0.903192423E+00-0.901571034E+00-0.899944727E+00 --0.898316039E+00-0.896684498E+00-0.895050102E+00-0.893412853E+00-0.891775251E+00 --0.890139467E+00-0.888505476E+00-0.886873279E+00-0.885243925E+00-0.883618726E+00 --0.881997682E+00-0.880380793E+00-0.878769977E+00-0.877165683E+00-0.875567544E+00 --0.873977601E+00-0.872395855E+00-0.870822265E+00-0.869256315E+00-0.867699113E+00 --0.866154337E+00-0.864619572E+00-0.863095116E+00-0.861580968E+00-0.860077391E+00 --0.858586825E+00-0.857109790E+00-0.855646288E+00-0.854196317E+00-0.852759878E+00 --0.851336972E+00-0.849928374E+00-0.848534235E+00-0.847154700E+00-0.845789770E+00 --0.844439809E+00-0.843106429E+00-0.841788799E+00-0.840486458E+00-0.839199562E+00 --0.837929270E+00-0.836675717E+00-0.835438901E+00-0.834219835E+00-0.833018324E+00 --0.831833185E+00-0.830664903E+00-0.829513973E+00-0.828381243E+00-0.827266713E+00 --0.826170382E+00-0.825091913E+00-0.824031355E+00-0.822989233E+00-0.821965545E+00 --0.820960293E+00-0.819974310E+00-0.819007070E+00-0.818058615E+00-0.817129075E+00 --0.816218224E+00-0.815326574E+00-0.814454659E+00-0.813602306E+00-0.812769365E+00 --0.811955836E+00-0.811161721E+00-0.810387249E+00-0.809632722E+00-0.808898048E+00 --0.808183246E+00-0.807488452E+00-0.806813686E+00-0.806158958E+00-0.805524461E+00 --0.804910195E+00-0.804316162E+00-0.803742429E+00-0.803188972E+00-0.802655800E+00 --0.802143069E+00-0.801650838E+00-0.801179106E+00-0.800727822E+00-0.800297076E+00 --0.799886869E+00-0.799497199E+00-0.799127905E+00-0.798779005E+00-0.798450665E+00 --0.798142933E+00-0.797855724E+00-0.797589038E+00-0.797342876E+00-0.797117027E+00 --0.796911499E+00-0.796726273E+00-0.796561350E+00-0.796416728E+00-0.796292418E+00 --0.796187931E+00-0.796103648E+00-0.796039632E+00-0.795995569E+00-0.795970967E+00 --0.795965818E+00-0.795980124E+00-0.796013999E+00-0.796067667E+00-0.796140412E+00 --0.796232237E+00-0.796343157E+00-0.796473204E+00-0.796621645E+00-0.796788901E+00 --0.796974971E+00-0.797179855E+00-0.797402800E+00-0.797643807E+00-0.797903211E+00 --0.798180397E+00-0.798475364E+00-0.798788114E+00-0.799118350E+00-0.799466226E+00 --0.799831767E+00-0.800214478E+00-0.800614095E+00-0.801030698E+00-0.801464238E+00 --0.801914517E+00-0.802381537E+00-0.802865070E+00-0.803364959E+00-0.803881695E+00 --0.804414360E+00-0.804962845E+00-0.805527149E+00-0.806107518E+00-0.806704024E+00 --0.807315831E+00-0.807943334E+00-0.808586443E+00-0.809244777E+00-0.809918338E+00 --0.810607124E+00-0.811311136E+00-0.812030098E+00-0.812763962E+00-0.813512795E+00 --0.814276249E+00-0.815054229E+00-0.815846918E+00-0.816654083E+00-0.817475723E+00 --0.818311840E+00-0.819162412E+00-0.820026908E+00-0.820905738E+00-0.821798903E+00 --0.822706340E+00-0.823627679E+00-0.824562979E+00-0.825512300E+00-0.826475547E+00 --0.827452773E+00-0.828444010E+00-0.829449258E+00-0.830468519E+00-0.831501826E+00 --0.832549186E+00-0.833609947E+00-0.834684763E+00-0.835773837E+00-0.836877090E+00 --0.837994524E+00-0.839126137E+00-0.840272084E+00-0.841432116E+00-0.842606302E+00 --0.843795239E+00-0.844998926E+00-0.846216795E+00-0.847449683E+00-0.848698293E+00 --0.849962609E+00-0.851242225E+00-0.852536956E+00-0.853846804E+00-0.855173078E+00 --0.856516307E+00-0.857876065E+00-0.859252098E+00-0.860645710E+00-0.862056390E+00 --0.863484713E+00-0.864931002E+00-0.866395880E+00-0.867879581E+00-0.869382107E+00 --0.870903403E+00-0.872444299E+00-0.874005486E+00-0.875586881E+00-0.877189008E+00 --0.878811989E+00-0.880455902E+00-0.882121440E+00-0.883808781E+00-0.885518622E+00 --0.887251440E+00-0.889006280E+00-0.890784367E+00-0.892586088E+00-0.894411587E+00 --0.896261047E+00-0.898134189E+00-0.900031012E+00-0.901951587E+00-0.903896825E+00 --0.905867003E+00-0.907862123E+00-0.909882185E+00-0.911927188E+00-0.913997132E+00 --0.916092017E+00-0.918213740E+00-0.920361412E+00-0.922534983E+00-0.924734455E+00 --0.926959826E+00-0.929211097E+00-0.931487609E+00-0.933788196E+00-0.936112839E+00 --0.938461536E+00-0.940834289E+00-0.943231096E+00-0.945651959E+00-0.948096876E+00 --0.983116916E+00-0.981399423E+00-0.979714907E+00-0.978063367E+00-0.976444804E+00 --0.974856635E+00-0.973302578E+00-0.971784654E+00-0.970302861E+00-0.968857201E+00 --0.967447672E+00-0.966038776E+00-0.964639218E+00-0.963256607E+00-0.961888921E+00 --0.960530465E+00-0.959179899E+00-0.957838640E+00-0.956508427E+00-0.955182615E+00 --0.953859924E+00-0.952541491E+00-0.951226893E+00-0.949914614E+00-0.948602581E+00 --0.947284740E+00-0.945963394E+00-0.944638944E+00-0.943311388E+00-0.941980728E+00 --0.940646963E+00-0.939308175E+00-0.937957544E+00-0.936598544E+00-0.935231169E+00 --0.933854766E+00-0.932469977E+00-0.931076352E+00-0.929670746E+00-0.928253978E+00 --0.926828137E+00-0.925392162E+00-0.923946204E+00-0.922490413E+00-0.921023337E+00 --0.919544975E+00-0.918055310E+00-0.916555903E+00-0.915047680E+00-0.913530641E+00 --0.912004758E+00-0.910469416E+00-0.908925106E+00-0.907373095E+00-0.905815143E+00 --0.904250577E+00-0.902679397E+00-0.901101602E+00-0.899517193E+00-0.897927936E+00 --0.896337159E+00-0.894744938E+00-0.893151275E+00-0.891555476E+00-0.889956823E+00 --0.888361413E+00-0.886768071E+00-0.885172696E+00-0.883581476E+00-0.881994411E+00 --0.880411368E+00-0.878831317E+00-0.877254373E+00-0.875685182E+00-0.874123045E+00 --0.872567328E+00-0.871019074E+00-0.869478355E+00-0.867945173E+00-0.866419943E+00 --0.864905152E+00-0.863400525E+00-0.861906062E+00-0.860422155E+00-0.858949236E+00 --0.857486645E+00-0.856037008E+00-0.854600902E+00-0.853177643E+00-0.851766314E+00 --0.850366971E+00-0.848981096E+00-0.847610087E+00-0.846253641E+00-0.844911759E+00 --0.843584157E+00-0.842271842E+00-0.840974820E+00-0.839693087E+00-0.838426623E+00 --0.837175038E+00-0.835940191E+00-0.834722082E+00-0.833520440E+00-0.832335167E+00 --0.831166896E+00-0.830015481E+00-0.828880911E+00-0.827763752E+00-0.826664850E+00 --0.825583649E+00-0.824519723E+00-0.823473145E+00-0.822444774E+00-0.821434838E+00 --0.820443329E+00-0.819470291E+00-0.818516084E+00-0.817580708E+00-0.816664162E+00 --0.815766378E+00-0.814887190E+00-0.814027360E+00-0.813186945E+00-0.812365946E+00 --0.811564362E+00-0.810782194E+00-0.810019536E+00-0.809276671E+00-0.808553669E+00 --0.807850522E+00-0.807167228E+00-0.806503920E+00-0.805860833E+00-0.805237970E+00 --0.804635328E+00-0.804052908E+00-0.803490734E+00-0.802948947E+00-0.802427686E+00 --0.801926965E+00-0.801446742E+00-0.800987018E+00-0.800547994E+00-0.800129565E+00 --0.799731675E+00-0.799354516E+00-0.798998078E+00-0.798662126E+00-0.798347223E+00 --0.798052892E+00-0.797779119E+00-0.797525905E+00-0.797293117E+00-0.797081103E+00 --0.796890125E+00-0.796719430E+00-0.796568975E+00-0.796438746E+00-0.796328843E+00 --0.796239530E+00-0.796170496E+00-0.796121775E+00-0.796093473E+00-0.796084624E+00 --0.796095337E+00-0.796126003E+00-0.796176650E+00-0.796247191E+00-0.796336873E+00 --0.796445633E+00-0.796573150E+00-0.796719778E+00-0.796885773E+00-0.797070931E+00 --0.797274905E+00-0.797497692E+00-0.797739066E+00-0.797998389E+00-0.798275622E+00 --0.798570752E+00-0.798883860E+00-0.799214994E+00-0.799563792E+00-0.799930255E+00 --0.800314382E+00-0.800715957E+00-0.801134673E+00-0.801570535E+00-0.802023138E+00 --0.802492516E+00-0.802978796E+00-0.803481989E+00-0.804001404E+00-0.804537463E+00 --0.805089760E+00-0.805658139E+00-0.806242600E+00-0.806843142E+00-0.807459339E+00 --0.808091560E+00-0.808739677E+00-0.809403128E+00-0.810081901E+00-0.810775941E+00 --0.811485202E+00-0.812209969E+00-0.812949881E+00-0.813704766E+00-0.814474628E+00 --0.815259423E+00-0.816059035E+00-0.816873281E+00-0.817702161E+00-0.818545676E+00 --0.819403826E+00-0.820276266E+00-0.821163220E+00-0.822064680E+00-0.822980362E+00 --0.823910402E+00-0.824854888E+00-0.825813324E+00-0.826785644E+00-0.827772346E+00 --0.828773432E+00-0.829788898E+00-0.830818545E+00-0.831862247E+00-0.832920003E+00 --0.833991813E+00-0.835077767E+00-0.836178040E+00-0.837292635E+00-0.838421551E+00 --0.839564787E+00-0.840722345E+00-0.841894578E+00-0.843081439E+00-0.844282905E+00 --0.845499254E+00-0.846730353E+00-0.847976176E+00-0.849237261E+00-0.850514068E+00 --0.851806598E+00-0.853114849E+00-0.854438822E+00-0.855778235E+00-0.857133967E+00 --0.858506503E+00-0.859895932E+00-0.861302932E+00-0.862726250E+00-0.864167086E+00 --0.865625818E+00-0.867102438E+00-0.868597535E+00-0.870111355E+00-0.871644039E+00 --0.873196359E+00-0.874767610E+00-0.876358608E+00-0.877969412E+00-0.879601009E+00 --0.881253742E+00-0.882927531E+00-0.884622169E+00-0.886339022E+00-0.888077742E+00 --0.889838389E+00-0.891620991E+00-0.893426252E+00-0.895255093E+00-0.897106988E+00 --0.898982197E+00-0.900880801E+00-0.902803614E+00-0.904750109E+00-0.906718987E+00 --0.908712300E+00-0.910730554E+00-0.912773750E+00-0.914841886E+00-0.916934965E+00 --0.919052984E+00-0.921195945E+00-0.923363847E+00-0.925556690E+00-0.927774475E+00 --0.930017201E+00-0.932289321E+00-0.934585580E+00-0.936902998E+00-0.939244471E+00 --0.941609999E+00-0.943999582E+00-0.946413220E+00-0.948850913E+00-0.951312661E+00 --0.979765784E+00-0.978060191E+00-0.976390729E+00-0.974757399E+00-0.973160202E+00 --0.971599136E+00-0.970074202E+00-0.968585401E+00-0.967132731E+00-0.965716193E+00 --0.964335787E+00-0.962951268E+00-0.961569058E+00-0.960199192E+00-0.958842876E+00 --0.957498805E+00-0.956165011E+00-0.954841460E+00-0.953527266E+00-0.952216639E+00 --0.950909134E+00-0.949604234E+00-0.948301080E+00-0.947004405E+00-0.945705406E+00 --0.944402713E+00-0.943096326E+00-0.941786289E+00-0.940473037E+00-0.939156682E+00 --0.937837221E+00-0.936513706E+00-0.935181084E+00-0.933840093E+00-0.932490734E+00 --0.931133007E+00-0.929766910E+00-0.928392446E+00-0.927009495E+00-0.925616490E+00 --0.924214010E+00-0.922802055E+00-0.921380056E+00-0.919948704E+00-0.918508115E+00 --0.917058020E+00-0.915598816E+00-0.914130131E+00-0.912652076E+00-0.911164651E+00 --0.909668488E+00-0.908165945E+00-0.906653970E+00-0.905135144E+00-0.903610763E+00 --0.902080825E+00-0.900545332E+00-0.899004283E+00-0.897457016E+00-0.895904897E+00 --0.894351288E+00-0.892796236E+00-0.891239741E+00-0.889681750E+00-0.888121906E+00 --0.886560867E+00-0.885001582E+00-0.883444837E+00-0.881890887E+00-0.880339731E+00 --0.878791370E+00-0.877245803E+00-0.875703117E+00-0.874166301E+00-0.872636536E+00 --0.871113823E+00-0.869598162E+00-0.868089554E+00-0.866587998E+00-0.865094181E+00 --0.863608954E+00-0.862133893E+00-0.860668700E+00-0.859213331E+00-0.857767786E+00 --0.856332541E+00-0.854910859E+00-0.853499894E+00-0.852100914E+00-0.850713920E+00 --0.849338911E+00-0.847976284E+00-0.846627966E+00-0.845294207E+00-0.843973934E+00 --0.842666769E+00-0.841374103E+00-0.840096642E+00-0.838834345E+00-0.837587486E+00 --0.836355570E+00-0.835139596E+00-0.833939205E+00-0.832754399E+00-0.831585659E+00 --0.830433807E+00-0.829298853E+00-0.828180788E+00-0.827079370E+00-0.825995613E+00 --0.824928924E+00-0.823879510E+00-0.822847372E+00-0.821832717E+00-0.820836532E+00 --0.819858639E+00-0.818898508E+00-0.817957207E+00-0.817034667E+00-0.816130676E+00 --0.815245326E+00-0.814378618E+00-0.813530653E+00-0.812702126E+00-0.811893015E+00 --0.811103266E+00-0.810332902E+00-0.809581938E+00-0.808850591E+00-0.808139115E+00 --0.807447502E+00-0.806775798E+00-0.806124175E+00-0.805492661E+00-0.804881359E+00 --0.804290280E+00-0.803719422E+00-0.803168958E+00-0.802639126E+00-0.802129824E+00 --0.801641067E+00-0.801172853E+00-0.800725208E+00-0.800298450E+00-0.799892544E+00 --0.799507338E+00-0.799142833E+00-0.798798968E+00-0.798476192E+00-0.798174633E+00 --0.797893784E+00-0.797633492E+00-0.797393782E+00-0.797175088E+00-0.796977545E+00 --0.796801077E+00-0.796644974E+00-0.796509125E+00-0.796394146E+00-0.796299859E+00 --0.796226264E+00-0.796173197E+00-0.796139999E+00-0.796127544E+00-0.796135075E+00 --0.796162586E+00-0.796210078E+00-0.796277552E+00-0.796365007E+00-0.796471987E+00 --0.796598097E+00-0.796743563E+00-0.796908369E+00-0.797092514E+00-0.797295998E+00 --0.797518031E+00-0.797758722E+00-0.798018347E+00-0.798296188E+00-0.798591940E+00 --0.798905966E+00-0.799237489E+00-0.799588050E+00-0.799956263E+00-0.800342128E+00 --0.800745645E+00-0.801166367E+00-0.801603878E+00-0.802059428E+00-0.802531890E+00 --0.803021266E+00-0.803527555E+00-0.804050621E+00-0.804590072E+00-0.805145989E+00 --0.805718340E+00-0.806306837E+00-0.806911481E+00-0.807532396E+00-0.808169344E+00 --0.808822325E+00-0.809491197E+00-0.810175435E+00-0.810874994E+00-0.811590089E+00 --0.812320674E+00-0.813066457E+00-0.813827643E+00-0.814603974E+00-0.815395453E+00 --0.816201916E+00-0.817023202E+00-0.817859310E+00-0.818710240E+00-0.819575824E+00 --0.820456175E+00-0.821351134E+00-0.822260642E+00-0.823184698E+00-0.824123303E+00 --0.825076249E+00-0.826043723E+00-0.827025497E+00-0.828021655E+00-0.829032195E+00 --0.830057118E+00-0.831096424E+00-0.832150113E+00-0.833218185E+00-0.834300640E+00 --0.835397140E+00-0.836508277E+00-0.837634000E+00-0.838774112E+00-0.839928648E+00 --0.841097608E+00-0.842281113E+00-0.843479737E+00-0.844693021E+00-0.845921180E+00 --0.847164500E+00-0.848422983E+00-0.849696629E+00-0.850985638E+00-0.852290434E+00 --0.853611033E+00-0.854947437E+00-0.856299644E+00-0.857667655E+00-0.859052420E+00 --0.860454085E+00-0.861872531E+00-0.863308075E+00-0.864760900E+00-0.866231568E+00 --0.867719761E+00-0.869225839E+00-0.870750256E+00-0.872293241E+00-0.873855430E+00 --0.875436951E+00-0.877037815E+00-0.878658320E+00-0.880298337E+00-0.881958580E+00 --0.883639960E+00-0.885342477E+00-0.887065999E+00-0.888810062E+00-0.890576292E+00 --0.892364730E+00-0.894175160E+00-0.896007595E+00-0.897862488E+00-0.899740165E+00 --0.901641156E+00-0.903565460E+00-0.905512987E+00-0.907483588E+00-0.909477412E+00 --0.911493707E+00-0.913534847E+00-0.915600833E+00-0.917691664E+00-0.919807341E+00 --0.921947863E+00-0.924113231E+00-0.926303445E+00-0.928518504E+00-0.930758408E+00 --0.933022501E+00-0.935307554E+00-0.937616543E+00-0.939951994E+00-0.942311623E+00 --0.944695428E+00-0.947103410E+00-0.949535569E+00-0.951991904E+00-0.954472417E+00 --0.976305959E+00-0.974637004E+00-0.972993183E+00-0.971374497E+00-0.969786605E+00 --0.968254662E+00-0.966758852E+00-0.965299173E+00-0.963875626E+00-0.962488211E+00 --0.961136928E+00-0.959776784E+00-0.958417426E+00-0.957071946E+00-0.955741353E+00 --0.954422702E+00-0.953110256E+00-0.951804392E+00-0.950508792E+00-0.949214692E+00 --0.947926110E+00-0.946639879E+00-0.945356000E+00-0.944075118E+00-0.942793913E+00 --0.941509014E+00-0.940220421E+00-0.938928133E+00-0.937632151E+00-0.936332715E+00 --0.935030557E+00-0.933723099E+00-0.932407282E+00-0.931085640E+00-0.929756401E+00 --0.928419325E+00-0.927074217E+00-0.925720499E+00-0.924358920E+00-0.922989459E+00 --0.921610726E+00-0.920222518E+00-0.918825891E+00-0.917420098E+00-0.916005025E+00 --0.914581761E+00-0.913150669E+00-0.911711353E+00-0.910262666E+00-0.908804910E+00 --0.907339730E+00-0.905867375E+00-0.904387736E+00-0.902902236E+00-0.901411180E+00 --0.899914250E+00-0.898411507E+00-0.896902986E+00-0.895389766E+00-0.893874531E+00 --0.892356537E+00-0.890835703E+00-0.889313186E+00-0.887788986E+00-0.886264093E+00 --0.884739980E+00-0.883216104E+00-0.881691863E+00-0.880170216E+00-0.878652032E+00 --0.877137313E+00-0.875626038E+00-0.874117610E+00-0.872613167E+00-0.871115894E+00 --0.869624779E+00-0.868139722E+00-0.866660722E+00-0.865187904E+00-0.863725062E+00 --0.862269520E+00-0.860821129E+00-0.859382561E+00-0.857953817E+00-0.856534897E+00 --0.855126240E+00-0.853728845E+00-0.852342748E+00-0.850967947E+00-0.849604444E+00 --0.848253557E+00-0.846914452E+00-0.845588622E+00-0.844276023E+00-0.842976532E+00 --0.841690149E+00-0.840417343E+00-0.839159457E+00-0.837915710E+00-0.836686668E+00 --0.835473749E+00-0.834275639E+00-0.833092569E+00-0.831925082E+00-0.830772862E+00 --0.829637300E+00-0.828518476E+00-0.827415604E+00-0.826328716E+00-0.825259055E+00 --0.824206631E+00-0.823171443E+00-0.822153676E+00-0.821153325E+00-0.820170628E+00 --0.819206185E+00-0.818258961E+00-0.817330210E+00-0.816420009E+00-0.815528450E+00 --0.814655534E+00-0.813801259E+00-0.812965483E+00-0.812148158E+00-0.811350642E+00 --0.810572577E+00-0.809813906E+00-0.809074635E+00-0.808354781E+00-0.807654832E+00 --0.806974589E+00-0.806314385E+00-0.805674273E+00-0.805054254E+00-0.804454467E+00 --0.803874950E+00-0.803315703E+00-0.802777036E+00-0.802259004E+00-0.801761611E+00 --0.801284817E+00-0.800828617E+00-0.800393350E+00-0.799979031E+00-0.799585660E+00 --0.799213087E+00-0.798861257E+00-0.798530569E+00-0.798221113E+00-0.797932888E+00 --0.797665519E+00-0.797418918E+00-0.797193543E+00-0.796989321E+00-0.796806251E+00 --0.796644333E+00-0.796502956E+00-0.796382897E+00-0.796283533E+00-0.796204869E+00 --0.796147091E+00-0.796110272E+00-0.796093692E+00-0.796097716E+00-0.796122422E+00 --0.796167194E+00-0.796232033E+00-0.796316939E+00-0.796421606E+00-0.796546013E+00 --0.796690912E+00-0.796855169E+00-0.797038411E+00-0.797240722E+00-0.797462383E+00 --0.797703383E+00-0.797962943E+00-0.798240641E+00-0.798537039E+00-0.798852186E+00 --0.799186082E+00-0.799537663E+00-0.799907497E+00-0.800295449E+00-0.800701053E+00 --0.801124310E+00-0.801565067E+00-0.802023106E+00-0.802498427E+00-0.802990895E+00 --0.803500280E+00-0.804026721E+00-0.804570246E+00-0.805130237E+00-0.805706693E+00 --0.806299615E+00-0.806909129E+00-0.807534872E+00-0.808176611E+00-0.808834345E+00 --0.809508081E+00-0.810197748E+00-0.810903097E+00-0.811624191E+00-0.812361024E+00 --0.813113183E+00-0.813880633E+00-0.814663372E+00-0.815461322E+00-0.816274638E+00 --0.817103029E+00-0.817946262E+00-0.818804512E+00-0.819677810E+00-0.820565949E+00 --0.821468637E+00-0.822386455E+00-0.823318857E+00-0.824265808E+00-0.825227307E+00 --0.826203539E+00-0.827194185E+00-0.828199439E+00-0.829219437E+00-0.830254010E+00 --0.831302967E+00-0.832366306E+00-0.833444028E+00-0.834536162E+00-0.835643074E+00 --0.836764689E+00-0.837900719E+00-0.839051624E+00-0.840217309E+00-0.841397417E+00 --0.842592061E+00-0.843801675E+00-0.845026300E+00-0.846265999E+00-0.847520872E+00 --0.848790899E+00-0.850076269E+00-0.851377123E+00-0.852693377E+00-0.854025447E+00 --0.855373543E+00-0.856737664E+00-0.858117810E+00-0.859514331E+00-0.860927541E+00 --0.862357572E+00-0.863804506E+00-0.865268552E+00-0.866749993E+00-0.868249089E+00 --0.869766103E+00-0.871301199E+00-0.872854795E+00-0.874426354E+00-0.876017028E+00 --0.877627034E+00-0.879256372E+00-0.880905041E+00-0.882573860E+00-0.884262888E+00 --0.885972692E+00-0.887702897E+00-0.889453504E+00-0.891224565E+00-0.893017370E+00 --0.894832396E+00-0.896669643E+00-0.898528948E+00-0.900409861E+00-0.902313415E+00 --0.904239344E+00-0.906188397E+00-0.908160605E+00-0.910156319E+00-0.912174794E+00 --0.914214540E+00-0.916277663E+00-0.918365632E+00-0.920478447E+00-0.922616107E+00 --0.924778613E+00-0.926965964E+00-0.929178160E+00-0.931413075E+00-0.933671363E+00 --0.935953130E+00-0.938258375E+00-0.940587099E+00-0.942941043E+00-0.945319201E+00 --0.947721536E+00-0.950148048E+00-0.952598736E+00-0.955073602E+00-0.957572644E+00 --0.972664785E+00-0.971065920E+00-0.969492189E+00-0.967943593E+00-0.966420132E+00 --0.964921805E+00-0.963448613E+00-0.962000556E+00-0.960577633E+00-0.959179845E+00 --0.957851093E+00-0.956521450E+00-0.955199095E+00-0.953887918E+00-0.952588198E+00 --0.951296556E+00-0.950011120E+00-0.948731889E+00-0.947455923E+00-0.946187785E+00 --0.944921475E+00-0.943656172E+00-0.942391875E+00-0.941128804E+00-0.939865794E+00 --0.938599654E+00-0.937330547E+00-0.936058472E+00-0.934783430E+00-0.933505421E+00 --0.932224273E+00-0.930935957E+00-0.929640661E+00-0.928338386E+00-0.927029162E+00 --0.925713428E+00-0.924390104E+00-0.923058872E+00-0.921719676E+00-0.920372619E+00 --0.919017702E+00-0.917653574E+00-0.916282259E+00-0.914901522E+00-0.913512831E+00 --0.912116185E+00-0.910711583E+00-0.909299026E+00-0.907878843E+00-0.906451206E+00 --0.905016091E+00-0.903573498E+00-0.902124109E+00-0.900669808E+00-0.899210381E+00 --0.897745177E+00-0.896274196E+00-0.894797438E+00-0.893317027E+00-0.891834269E+00 --0.890349162E+00-0.888861706E+00-0.887372545E+00-0.885880915E+00-0.884389249E+00 --0.882897819E+00-0.881406627E+00-0.879915671E+00-0.878425701E+00-0.876939226E+00 --0.875456214E+00-0.873976347E+00-0.872498768E+00-0.871026297E+00-0.869559450E+00 --0.868097553E+00-0.866641522E+00-0.865191549E+00-0.863748360E+00-0.862312529E+00 --0.860884041E+00-0.859462895E+00-0.858050642E+00-0.856648523E+00-0.855255389E+00 --0.853870890E+00-0.852497688E+00-0.851135783E+00-0.849785176E+00-0.848444721E+00 --0.847114146E+00-0.845797285E+00-0.844492103E+00-0.843199955E+00-0.841920930E+00 --0.840655227E+00-0.839402269E+00-0.838162995E+00-0.836937917E+00-0.835727227E+00 --0.834531336E+00-0.833350253E+00-0.832183980E+00-0.831032516E+00-0.829897050E+00 --0.828777428E+00-0.827673701E+00-0.826585868E+00-0.825513930E+00-0.824458205E+00 --0.823419687E+00-0.822398406E+00-0.821394361E+00-0.820407553E+00-0.819437982E+00 --0.818485841E+00-0.817551220E+00-0.816635154E+00-0.815737507E+00-0.814858280E+00 --0.813997474E+00-0.813155086E+00-0.812331119E+00-0.811525572E+00-0.810739292E+00 --0.809972619E+00-0.809225413E+00-0.808497676E+00-0.807789391E+00-0.807100701E+00 --0.806431769E+00-0.805782993E+00-0.805154374E+00-0.804545865E+00-0.803957449E+00 --0.803389339E+00-0.802841836E+00-0.802314963E+00-0.801808698E+00-0.801323038E+00 --0.800858255E+00-0.800414438E+00-0.799991584E+00-0.799589693E+00-0.799208764E+00 --0.798849010E+00-0.798510406E+00-0.798193032E+00-0.797896888E+00-0.797621983E+00 --0.797368525E+00-0.797136320E+00-0.796925345E+00-0.796735617E+00-0.796567135E+00 --0.796419899E+00-0.796293406E+00-0.796188839E+00-0.796105570E+00-0.796043262E+00 --0.796001913E+00-0.795981528E+00-0.795982016E+00-0.796003218E+00-0.796045132E+00 --0.796107632E+00-0.796190158E+00-0.796292879E+00-0.796415843E+00-0.796559043E+00 --0.796722481E+00-0.796905988E+00-0.797108542E+00-0.797330081E+00-0.797570604E+00 --0.797830113E+00-0.798108606E+00-0.798406285E+00-0.798722536E+00-0.799057555E+00 --0.799411319E+00-0.799783368E+00-0.800173550E+00-0.800581539E+00-0.801006883E+00 --0.801450344E+00-0.801911743E+00-0.802390423E+00-0.802886385E+00-0.803399627E+00 --0.803929705E+00-0.804477156E+00-0.805041081E+00-0.805621754E+00-0.806219176E+00 --0.806833347E+00-0.807464266E+00-0.808111522E+00-0.808774680E+00-0.809453833E+00 --0.810148919E+00-0.810859977E+00-0.811586931E+00-0.812329612E+00-0.813088183E+00 --0.813862247E+00-0.814651601E+00-0.815456276E+00-0.816276525E+00-0.817112049E+00 --0.817962607E+00-0.818828289E+00-0.819709039E+00-0.820604804E+00-0.821515654E+00 --0.822441424E+00-0.823381938E+00-0.824337255E+00-0.825307219E+00-0.826292006E+00 --0.827291679E+00-0.828306029E+00-0.829335014E+00-0.830378634E+00-0.831436889E+00 --0.832509813E+00-0.833597253E+00-0.834699431E+00-0.835816312E+00-0.836947897E+00 --0.838094185E+00-0.839255198E+00-0.840431074E+00-0.841621831E+00-0.842827438E+00 --0.844048012E+00-0.845283605E+00-0.846534218E+00-0.847799880E+00-0.849081011E+00 --0.850377626E+00-0.851689724E+00-0.853017305E+00-0.854360423E+00-0.855719779E+00 --0.857095148E+00-0.858486597E+00-0.859894284E+00-0.861318210E+00-0.862758808E+00 --0.864216611E+00-0.865691621E+00-0.867183715E+00-0.868693210E+00-0.870220344E+00 --0.871765382E+00-0.873328443E+00-0.874909848E+00-0.876509685E+00-0.878128931E+00 --0.879767110E+00-0.881424220E+00-0.883100263E+00-0.884796733E+00-0.886513420E+00 --0.888250343E+00-0.890007691E+00-0.891785440E+00-0.893583580E+00-0.895402960E+00 --0.897244552E+00-0.899107806E+00-0.900992394E+00-0.902898316E+00-0.904826487E+00 --0.906777573E+00-0.908751532E+00-0.910748156E+00-0.912767533E+00-0.914809671E+00 --0.916874570E+00-0.918959699E+00-0.921069651E+00-0.923204449E+00-0.925364092E+00 --0.927548490E+00-0.929756536E+00-0.931988060E+00-0.934243062E+00-0.936521543E+00 --0.938823502E+00-0.941148939E+00-0.943497855E+00-0.945870398E+00-0.948267086E+00 --0.950687951E+00-0.953132992E+00-0.955602210E+00-0.958095605E+00-0.960613177E+00 --0.968812453E+00-0.967283678E+00-0.965780038E+00-0.964301532E+00-0.962848161E+00 --0.961419924E+00-0.960016822E+00-0.958638855E+00-0.957286023E+00-0.955916849E+00 --0.954540273E+00-0.953224113E+00-0.951933980E+00-0.950656349E+00-0.949387501E+00 --0.948122868E+00-0.946867561E+00-0.945617334E+00-0.944371229E+00-0.943128747E+00 --0.941887273E+00-0.940647368E+00-0.939407564E+00-0.938167768E+00-0.936928035E+00 --0.935685404E+00-0.934438416E+00-0.933187523E+00-0.931933663E+00-0.930676836E+00 --0.929415917E+00-0.928148122E+00-0.926873788E+00-0.925593354E+00-0.924306656E+00 --0.923013685E+00-0.921713297E+00-0.920405003E+00-0.919088804E+00-0.917764700E+00 --0.916433257E+00-0.915094329E+00-0.913746849E+00-0.912392231E+00-0.911029767E+00 --0.909659303E+00-0.908280838E+00-0.906894655E+00-0.905501877E+00-0.904102609E+00 --0.902696203E+00-0.901282272E+00-0.899861935E+00-0.898436716E+00-0.897006614E+00 --0.895571629E+00-0.894131915E+00-0.892686668E+00-0.891238124E+00-0.889786537E+00 --0.888331909E+00-0.886874281E+00-0.885416545E+00-0.883957685E+00-0.882496027E+00 --0.881035311E+00-0.879575624E+00-0.878116964E+00-0.876659333E+00-0.875202774E+00 --0.873749764E+00-0.872298921E+00-0.870850201E+00-0.869405815E+00-0.867967053E+00 --0.866533916E+00-0.865106394E+00-0.863683328E+00-0.862266656E+00-0.860857620E+00 --0.859456141E+00-0.858062007E+00-0.856675216E+00-0.855297449E+00-0.853926798E+00 --0.852567616E+00-0.851218565E+00-0.849879521E+00-0.848550484E+00-0.847231453E+00 --0.845923146E+00-0.844627089E+00-0.843342743E+00-0.842070803E+00-0.840811764E+00 --0.839565001E+00-0.838330508E+00-0.837109903E+00-0.835902478E+00-0.834708806E+00 --0.833529942E+00-0.832365650E+00-0.831215020E+00-0.830079455E+00-0.828959033E+00 --0.827854132E+00-0.826765152E+00-0.825692091E+00-0.824634951E+00-0.823593820E+00 --0.822569033E+00-0.821561163E+00-0.820570209E+00-0.819596171E+00-0.818639050E+00 --0.817699902E+00-0.816777657E+00-0.815873409E+00-0.814987564E+00-0.814120123E+00 --0.813271087E+00-0.812440468E+00-0.811628311E+00-0.810834573E+00-0.810059656E+00 --0.809304357E+00-0.808568430E+00-0.807851828E+00-0.807154551E+00-0.806476904E+00 --0.805819354E+00-0.805181811E+00-0.804564367E+00-0.803967080E+00-0.803389950E+00 --0.802833363E+00-0.802297473E+00-0.801782244E+00-0.801287620E+00-0.800813733E+00 --0.800360976E+00-0.799929382E+00-0.799518885E+00-0.799129346E+00-0.798761065E+00 --0.798414325E+00-0.798089091E+00-0.797785125E+00-0.797502389E+00-0.797240877E+00 --0.797001026E+00-0.796783091E+00-0.796586898E+00-0.796411976E+00-0.796258300E+00 --0.796126047E+00-0.796015596E+00-0.795926951E+00-0.795860112E+00-0.795814289E+00 --0.795789369E+00-0.795786113E+00-0.795804122E+00-0.795842844E+00-0.795902351E+00 --0.795983175E+00-0.796085101E+00-0.796207020E+00-0.796348973E+00-0.796510987E+00 --0.796693218E+00-0.796895672E+00-0.797117538E+00-0.797358389E+00-0.797618498E+00 --0.797898128E+00-0.798197276E+00-0.798515883E+00-0.798852815E+00-0.799208035E+00 --0.799581855E+00-0.799974371E+00-0.800385021E+00-0.800813804E+00-0.801259617E+00 --0.801724357E+00-0.802206388E+00-0.802705877E+00-0.803222988E+00-0.803757671E+00 --0.804308883E+00-0.804877520E+00-0.805463450E+00-0.806065893E+00-0.806684850E+00 --0.807320405E+00-0.807972710E+00-0.808641735E+00-0.809326312E+00-0.810027326E+00 --0.810744438E+00-0.811477564E+00-0.812226705E+00-0.812991216E+00-0.813771895E+00 --0.814567892E+00-0.815379492E+00-0.816206696E+00-0.817049506E+00-0.817907650E+00 --0.818780836E+00-0.819669084E+00-0.820572521E+00-0.821491162E+00-0.822424899E+00 --0.823373750E+00-0.824337352E+00-0.825315789E+00-0.826309217E+00-0.827317443E+00 --0.828340569E+00-0.829378650E+00-0.830431366E+00-0.831498749E+00-0.832581034E+00 --0.833678129E+00-0.834789823E+00-0.835916424E+00-0.837057933E+00-0.838214238E+00 --0.839385199E+00-0.840571194E+00-0.841772093E+00-0.842988003E+00-0.844219020E+00 --0.845465153E+00-0.846726305E+00-0.848002579E+00-0.849294388E+00-0.850601627E+00 --0.851924374E+00-0.853262752E+00-0.854616761E+00-0.855986611E+00-0.857372520E+00 --0.858774597E+00-0.860193150E+00-0.861628007E+00-0.863079117E+00-0.864547110E+00 --0.866032315E+00-0.867534676E+00-0.869054182E+00-0.870590906E+00-0.872145420E+00 --0.873717830E+00-0.875308226E+00-0.876917244E+00-0.878544974E+00-0.880191363E+00 --0.881856684E+00-0.883540937E+00-0.885244173E+00-0.886967432E+00-0.888710852E+00 --0.890474430E+00-0.892258167E+00-0.894062064E+00-0.895887102E+00-0.897732875E+00 --0.899600018E+00-0.901488496E+00-0.903398308E+00-0.905329453E+00-0.907282167E+00 --0.909257843E+00-0.911255504E+00-0.913275620E+00-0.915318231E+00-0.917383337E+00 --0.919471068E+00-0.921580954E+00-0.923713800E+00-0.925871603E+00-0.928052885E+00 --0.930257645E+00-0.932485883E+00-0.934737599E+00-0.937012793E+00-0.939311466E+00 --0.941633618E+00-0.943979247E+00-0.946348355E+00-0.948740060E+00-0.951155277E+00 --0.953594671E+00-0.956058242E+00-0.958545990E+00-0.961057915E+00-0.963594017E+00 --0.964748965E+00-0.963290279E+00-0.961856729E+00-0.960448313E+00-0.959065032E+00 --0.957706886E+00-0.956377068E+00-0.955064379E+00-0.953753876E+00-0.952445560E+00 --0.951139431E+00-0.949871269E+00-0.948621365E+00-0.947378860E+00-0.946142547E+00 --0.944914306E+00-0.943690665E+00-0.942471623E+00-0.941257337E+00-0.940046455E+00 --0.938834528E+00-0.937620836E+00-0.936407123E+00-0.935193418E+00-0.933979598E+00 --0.932761446E+00-0.931539155E+00-0.930312725E+00-0.929082156E+00-0.927847171E+00 --0.926608190E+00-0.925362944E+00-0.924111433E+00-0.922853657E+00-0.921589616E+00 --0.920319310E+00-0.919041877E+00-0.917756745E+00-0.916464223E+00-0.915164308E+00 --0.913857003E+00-0.912542124E+00-0.911219467E+00-0.909889532E+00-0.908552320E+00 --0.907207827E+00-0.905855476E+00-0.904496037E+00-0.903130080E+00-0.901757606E+00 --0.900378615E+00-0.898993184E+00-0.897601819E+00-0.896205357E+00-0.894803992E+00 --0.893397725E+00-0.891986554E+00-0.890570588E+00-0.889151648E+00-0.887729666E+00 --0.886304583E+00-0.884876943E+00-0.883448179E+00-0.882018290E+00-0.880587277E+00 --0.879155843E+00-0.877725509E+00-0.876296021E+00-0.874867670E+00-0.873440537E+00 --0.872014621E+00-0.870592878E+00-0.869172736E+00-0.867756435E+00-0.866345720E+00 --0.864939651E+00-0.863537908E+00-0.862140491E+00-0.860748595E+00-0.859364310E+00 --0.857987659E+00-0.856618643E+00-0.855256819E+00-0.853901803E+00-0.852555758E+00 --0.851219035E+00-0.849891654E+00-0.848574161E+00-0.847266675E+00-0.845969181E+00 --0.844681474E+00-0.843405481E+00-0.842140444E+00-0.840887251E+00-0.839646932E+00 --0.838418797E+00-0.837202681E+00-0.835999502E+00-0.834808474E+00-0.833632513E+00 --0.832470236E+00-0.831321643E+00-0.830187131E+00-0.829067202E+00-0.827961572E+00 --0.826871230E+00-0.825796808E+00-0.824737907E+00-0.823694123E+00-0.822666501E+00 --0.821655324E+00-0.820660066E+00-0.819681706E+00-0.818720263E+00-0.817775752E+00 --0.816848519E+00-0.815938606E+00-0.815045967E+00-0.814171733E+00-0.813315895E+00 --0.812478308E+00-0.811658954E+00-0.810857832E+00-0.810075320E+00-0.809311650E+00 --0.808567227E+00-0.807842274E+00-0.807136659E+00-0.806450368E+00-0.805783683E+00 --0.805137077E+00-0.804510558E+00-0.803904160E+00-0.803318018E+00-0.802752128E+00 --0.802206932E+00-0.801682432E+00-0.801178626E+00-0.800695599E+00-0.800233701E+00 --0.799792952E+00-0.799373351E+00-0.798974753E+00-0.798597687E+00-0.798242253E+00 --0.797908361E+00-0.797596084E+00-0.797305525E+00-0.797036210E+00-0.796788672E+00 --0.796563049E+00-0.796359342E+00-0.796177550E+00-0.796017774E+00-0.795879754E+00 --0.795763646E+00-0.795669311E+00-0.795596749E+00-0.795545980E+00-0.795517018E+00 --0.795509662E+00-0.795523902E+00-0.795559426E+00-0.795616370E+00-0.795694733E+00 --0.795794515E+00-0.795915672E+00-0.796057250E+00-0.796218863E+00-0.796400510E+00 --0.796602189E+00-0.796824243E+00-0.797066274E+00-0.797327489E+00-0.797608354E+00 --0.797908738E+00-0.798228640E+00-0.798568061E+00-0.798925950E+00-0.799302223E+00 --0.799696750E+00-0.800110279E+00-0.800542063E+00-0.800992088E+00-0.801460284E+00 --0.801946144E+00-0.802449566E+00-0.802970604E+00-0.803509319E+00-0.804065450E+00 --0.804638784E+00-0.805229320E+00-0.805837067E+00-0.806461675E+00-0.807102796E+00 --0.807760430E+00-0.808434577E+00-0.809125177E+00-0.809832230E+00-0.810555608E+00 --0.811295031E+00-0.812050502E+00-0.812822000E+00-0.813608980E+00-0.814412172E+00 --0.815230889E+00-0.816065131E+00-0.816914904E+00-0.817780273E+00-0.818661061E+00 --0.819557102E+00-0.820468415E+00-0.821395002E+00-0.822336861E+00-0.823293683E+00 --0.824265615E+00-0.825252553E+00-0.826254515E+00-0.827271490E+00-0.828303477E+00 --0.829350236E+00-0.830412000E+00-0.831488537E+00-0.832579989E+00-0.833686356E+00 --0.834807591E+00-0.835943711E+00-0.837094739E+00-0.838260675E+00-0.839441549E+00 --0.840637475E+00-0.841848277E+00-0.843074199E+00-0.844315290E+00-0.845571489E+00 --0.846842887E+00-0.848129544E+00-0.849431493E+00-0.850749007E+00-0.852082086E+00 --0.853430850E+00-0.854795330E+00-0.856175518E+00-0.857571742E+00-0.858984040E+00 --0.860412506E+00-0.861857423E+00-0.863318797E+00-0.864797160E+00-0.866291717E+00 --0.867803626E+00-0.869332945E+00-0.870879409E+00-0.872443016E+00-0.874024435E+00 --0.875623959E+00-0.877241038E+00-0.878876829E+00-0.880531333E+00-0.882204551E+00 --0.883896482E+00-0.885606889E+00-0.887336765E+00-0.889086590E+00-0.890856365E+00 --0.892646089E+00-0.894455762E+00-0.896285498E+00-0.898135780E+00-0.900007602E+00 --0.901899150E+00-0.903812220E+00-0.905746849E+00-0.907703038E+00-0.909680761E+00 --0.911679826E+00-0.913701166E+00-0.915744799E+00-0.917810726E+00-0.919898947E+00 --0.922009539E+00-0.924143195E+00-0.926299907E+00-0.928479686E+00-0.930681590E+00 --0.932906542E+00-0.935154972E+00-0.937426881E+00-0.939722268E+00-0.942041133E+00 --0.944383476E+00-0.946749298E+00-0.949138598E+00-0.951550028E+00-0.953983775E+00 --0.956441699E+00-0.958923799E+00-0.961430077E+00-0.963960531E+00-0.966515236E+00 --0.960474318E+00-0.959085723E+00-0.957722263E+00-0.956383937E+00-0.955124092E+00 --0.953877477E+00-0.952633048E+00-0.951390806E+00-0.950150750E+00-0.948912880E+00 --0.947677197E+00-0.946457034E+00-0.945248623E+00-0.944049146E+00-0.942858006E+00 --0.941669395E+00-0.940482684E+00-0.939300572E+00-0.938122464E+00-0.936942861E+00 --0.935761845E+00-0.934579609E+00-0.933396025E+00-0.932210452E+00-0.931021181E+00 --0.929828389E+00-0.928631749E+00-0.927431251E+00-0.926226895E+00-0.925017162E+00 --0.923801122E+00-0.922579742E+00-0.921352119E+00-0.920118251E+00-0.918878140E+00 --0.917630656E+00-0.916376366E+00-0.915115182E+00-0.913846705E+00-0.912570848E+00 --0.911287599E+00-0.909997008E+00-0.908699172E+00-0.907394058E+00-0.906081798E+00 --0.904762429E+00-0.903435881E+00-0.902102397E+00-0.900762395E+00-0.899415877E+00 --0.898063662E+00-0.896705299E+00-0.895340301E+00-0.893970970E+00-0.892597304E+00 --0.891219226E+00-0.889836286E+00-0.888448443E+00-0.887057060E+00-0.885664135E+00 --0.884266592E+00-0.882867924E+00-0.881468115E+00-0.880066586E+00-0.878663054E+00 --0.877259789E+00-0.875856245E+00-0.874453449E+00-0.873052439E+00-0.871653215E+00 --0.870255776E+00-0.868859375E+00-0.867466292E+00-0.866076940E+00-0.864691914E+00 --0.863311214E+00-0.861934840E+00-0.860562792E+00-0.859195701E+00-0.857836167E+00 --0.856483437E+00-0.855137211E+00-0.853797703E+00-0.852464804E+00-0.851140676E+00 --0.849825871E+00-0.848520388E+00-0.847223618E+00-0.845935383E+00-0.844658391E+00 --0.843390720E+00-0.842133611E+00-0.840887066E+00-0.839651703E+00-0.838428691E+00 --0.837218052E+00-0.836019874E+00-0.834833722E+00-0.833660159E+00-0.832499982E+00 --0.831353428E+00-0.830220304E+00-0.829100848E+00-0.827995699E+00-0.826904856E+00 --0.825828944E+00-0.824768163E+00-0.823722499E+00-0.822691954E+00-0.821676999E+00 --0.820678249E+00-0.819695645E+00-0.818729595E+00-0.817780747E+00-0.816848226E+00 --0.815932615E+00-0.815034333E+00-0.814153256E+00-0.813290274E+00-0.812445412E+00 --0.811618645E+00-0.810810199E+00-0.810020251E+00-0.809248721E+00-0.808495609E+00 --0.807761663E+00-0.807047216E+00-0.806352269E+00-0.805676977E+00-0.805021220E+00 --0.804385380E+00-0.803769553E+00-0.803173741E+00-0.802598460E+00-0.802043903E+00 --0.801509872E+00-0.800996494E+00-0.800503801E+00-0.800032325E+00-0.799582244E+00 --0.799153398E+00-0.798745700E+00-0.798359194E+00-0.797994572E+00-0.797651919E+00 --0.797331155E+00-0.797031651E+00-0.796754233E+00-0.796498940E+00-0.796265630E+00 --0.796053989E+00-0.795864673E+00-0.795697795E+00-0.795553295E+00-0.795430734E+00 --0.795330609E+00-0.795252879E+00-0.795197058E+00-0.795162943E+00-0.795151164E+00 --0.795161959E+00-0.795194946E+00-0.795249390E+00-0.795325278E+00-0.795422609E+00 --0.795541373E+00-0.795681583E+00-0.795842668E+00-0.796023972E+00-0.796225926E+00 --0.796448530E+00-0.796691783E+00-0.796955396E+00-0.797238320E+00-0.797540498E+00 --0.797861928E+00-0.798202631E+00-0.798562806E+00-0.798941725E+00-0.799339510E+00 --0.799756143E+00-0.800191626E+00-0.800645274E+00-0.801117143E+00-0.801607415E+00 --0.802115325E+00-0.802640798E+00-0.803183958E+00-0.803744921E+00-0.804323656E+00 --0.804919385E+00-0.805532062E+00-0.806161924E+00-0.806808988E+00-0.807472299E+00 --0.808152097E+00-0.808848794E+00-0.809562110E+00-0.810292009E+00-0.811038088E+00 --0.811800208E+00-0.812578361E+00-0.813372500E+00-0.814182636E+00-0.815008744E+00 --0.815850455E+00-0.816707692E+00-0.817580440E+00-0.818468708E+00-0.819372613E+00 --0.820292052E+00-0.821226707E+00-0.822176577E+00-0.823141664E+00-0.824121889E+00 --0.825117208E+00-0.826127722E+00-0.827153302E+00-0.828193949E+00-0.829249662E+00 --0.830320384E+00-0.831406025E+00-0.832506624E+00-0.833622182E+00-0.834752676E+00 --0.835898184E+00-0.837058662E+00-0.838234162E+00-0.839424683E+00-0.840630226E+00 --0.841850791E+00-0.843086440E+00-0.844337298E+00-0.845603365E+00-0.846884642E+00 --0.848181336E+00-0.849493249E+00-0.850820747E+00-0.852163853E+00-0.853522567E+00 --0.854896949E+00-0.856287106E+00-0.857693276E+00-0.859115561E+00-0.860553920E+00 --0.862008507E+00-0.863479785E+00-0.864967543E+00-0.866471911E+00-0.867992834E+00 --0.869530766E+00-0.871086214E+00-0.872659179E+00-0.874249661E+00-0.875857453E+00 --0.877483127E+00-0.879127079E+00-0.880789468E+00-0.882470205E+00-0.884169288E+00 --0.885887277E+00-0.887624428E+00-0.889380031E+00-0.891155484E+00-0.892950886E+00 --0.894766238E+00-0.896601570E+00-0.898456713E+00-0.900331692E+00-0.902227761E+00 --0.904144511E+00-0.906081891E+00-0.908040594E+00-0.910020857E+00-0.912022655E+00 --0.914045649E+00-0.916090219E+00-0.918156972E+00-0.920245714E+00-0.922356813E+00 --0.924490340E+00-0.926646020E+00-0.928823875E+00-0.931024433E+00-0.933247913E+00 --0.935494317E+00-0.937763643E+00-0.940055906E+00-0.942371485E+00-0.944710543E+00 --0.947073078E+00-0.949459092E+00-0.951868584E+00-0.954300301E+00-0.956752578E+00 --0.959229032E+00-0.961729662E+00-0.964255221E+00-0.966805044E+00-0.969378413E+00 --0.955988515E+00-0.954719412E+00-0.953536684E+00-0.952356142E+00-0.951177787E+00 --0.950001618E+00-0.948827636E+00-0.947655841E+00-0.946486232E+00-0.945318809E+00 --0.944153473E+00-0.942994175E+00-0.941839597E+00-0.940691305E+00-0.939548956E+00 --0.938405551E+00-0.937258760E+00-0.936113578E+00-0.934971530E+00-0.933825411E+00 --0.932677317E+00-0.931528003E+00-0.930375853E+00-0.929218286E+00-0.928057256E+00 --0.926892765E+00-0.925724468E+00-0.924550458E+00-0.923372292E+00-0.922188055E+00 --0.920997420E+00-0.919800387E+00-0.918596873E+00-0.917387118E+00-0.916170887E+00 --0.914947706E+00-0.913717579E+00-0.912480342E+00-0.911235813E+00-0.909983991E+00 --0.908724878E+00-0.907458500E+00-0.906185167E+00-0.904904754E+00-0.903617220E+00 --0.902322566E+00-0.901020871E+00-0.899713051E+00-0.898398679E+00-0.897077895E+00 --0.895751198E+00-0.894418589E+00-0.893079787E+00-0.891736614E+00-0.890389107E+00 --0.889037267E+00-0.887681092E+00-0.886320270E+00-0.884955841E+00-0.883588821E+00 --0.882219326E+00-0.880848076E+00-0.879474822E+00-0.878099565E+00-0.876723376E+00 --0.875347039E+00-0.873969719E+00-0.872592231E+00-0.871216528E+00-0.869842610E+00 --0.868470478E+00-0.867100691E+00-0.865733497E+00-0.864368755E+00-0.863007312E+00 --0.861650477E+00-0.860298249E+00-0.858950704E+00-0.857608269E+00-0.856270755E+00 --0.854939824E+00-0.853615579E+00-0.852298187E+00-0.850988215E+00-0.849684997E+00 --0.848390485E+00-0.847104680E+00-0.845827784E+00-0.844560476E+00-0.843302046E+00 --0.842052745E+00-0.840814134E+00-0.839586086E+00-0.838368039E+00-0.837162333E+00 --0.835968794E+00-0.834786659E+00-0.833615861E+00-0.832457232E+00-0.831312197E+00 --0.830180758E+00-0.829062336E+00-0.827957282E+00-0.826866004E+00-0.825788974E+00 --0.824727335E+00-0.823679056E+00-0.822646059E+00-0.821628456E+00-0.820626178E+00 --0.819639854E+00-0.818669678E+00-0.817715615E+00-0.816777641E+00-0.815856694E+00 --0.814952641E+00-0.814065493E+00-0.813195331E+00-0.812343067E+00-0.811508859E+00 --0.810692647E+00-0.809894736E+00-0.809115149E+00-0.808354225E+00-0.807611720E+00 --0.806888204E+00-0.806184220E+00-0.805499625E+00-0.804834592E+00-0.804189136E+00 --0.803563717E+00-0.802958313E+00-0.802372936E+00-0.801808205E+00-0.801264323E+00 --0.800741291E+00-0.800238965E+00-0.799757524E+00-0.799297483E+00-0.798858843E+00 --0.798441602E+00-0.798045803E+00-0.797671674E+00-0.797319514E+00-0.796989323E+00 --0.796681138E+00-0.796394968E+00-0.796130607E+00-0.795888694E+00-0.795669488E+00 --0.795472817E+00-0.795298585E+00-0.795146791E+00-0.795017600E+00-0.794911117E+00 --0.794827051E+00-0.794765869E+00-0.794726920E+00-0.794710715E+00-0.794717293E+00 --0.794746446E+00-0.794798386E+00-0.794872069E+00-0.794967195E+00-0.795083765E+00 --0.795221965E+00-0.795382455E+00-0.795564311E+00-0.795766778E+00-0.795989932E+00 --0.796233736E+00-0.796498190E+00-0.796783273E+00-0.797087998E+00-0.797411977E+00 --0.797755208E+00-0.798117710E+00-0.798500179E+00-0.798900829E+00-0.799321400E+00 --0.799760404E+00-0.800218027E+00-0.800694499E+00-0.801188541E+00-0.801701058E+00 --0.802231503E+00-0.802779752E+00-0.803345803E+00-0.803929659E+00-0.804531224E+00 --0.805149801E+00-0.805785311E+00-0.806437756E+00-0.807107155E+00-0.807793706E+00 --0.808497066E+00-0.809216808E+00-0.809953083E+00-0.810705941E+00-0.811475004E+00 --0.812260166E+00-0.813061553E+00-0.813878935E+00-0.814712314E+00-0.815561660E+00 --0.816426365E+00-0.817306912E+00-0.818203091E+00-0.819114887E+00-0.820042301E+00 --0.820985221E+00-0.821943331E+00-0.822916657E+00-0.823905219E+00-0.824909213E+00 --0.825928447E+00-0.826962748E+00-0.828012115E+00-0.829076614E+00-0.830156189E+00 --0.831250878E+00-0.832360534E+00-0.833485168E+00-0.834624895E+00-0.835779714E+00 --0.836949580E+00-0.838134475E+00-0.839334482E+00-0.840549601E+00-0.841779783E+00 --0.843024985E+00-0.844285484E+00-0.845561250E+00-0.846852280E+00-0.848158638E+00 --0.849480326E+00-0.850817490E+00-0.852170262E+00-0.853538659E+00-0.854922800E+00 --0.856322706E+00-0.857738366E+00-0.859170031E+00-0.860617925E+00-0.862082047E+00 --0.863562519E+00-0.865059413E+00-0.866573175E+00-0.868103545E+00-0.869650526E+00 --0.871214462E+00-0.872795934E+00-0.874394923E+00-0.876011274E+00-0.877644971E+00 --0.879296528E+00-0.880966448E+00-0.882654614E+00-0.884361127E+00-0.886086036E+00 --0.887829687E+00-0.889592146E+00-0.891373488E+00-0.893174568E+00-0.894995263E+00 --0.896835477E+00-0.898695482E+00-0.900575277E+00-0.902474910E+00-0.904395226E+00 --0.906336223E+00-0.908297900E+00-0.910280362E+00-0.912284633E+00-0.914309642E+00 --0.916355746E+00-0.918423065E+00-0.920512413E+00-0.922623899E+00-0.924757235E+00 --0.926912554E+00-0.929090160E+00-0.931290018E+00-0.933511706E+00-0.935755964E+00 --0.938023145E+00-0.940313250E+00-0.942626277E+00-0.944962227E+00-0.947321100E+00 --0.949702896E+00-0.952108630E+00-0.954538314E+00-0.956990882E+00-0.959461688E+00 --0.961957937E+00-0.964479172E+00-0.967023954E+00-0.969592282E+00-0.972184158E+00 --0.951614843E+00-0.950500375E+00-0.949390698E+00-0.948283687E+00-0.947178768E+00 --0.946075941E+00-0.944975205E+00-0.943876561E+00-0.942780008E+00-0.941685546E+00 --0.940593177E+00-0.939500530E+00-0.938405154E+00-0.937308755E+00-0.936215198E+00 --0.935117127E+00-0.934015621E+00-0.932910681E+00-0.931804534E+00-0.930695582E+00 --0.929584741E+00-0.928467673E+00-0.927345435E+00-0.926219562E+00-0.925089201E+00 --0.923954351E+00-0.922815013E+00-0.921670123E+00-0.920518461E+00-0.919359899E+00 --0.918194960E+00-0.917023646E+00-0.915845956E+00-0.914661688E+00-0.913469894E+00 --0.912271098E+00-0.911065351E+00-0.909852134E+00-0.908631553E+00-0.907403774E+00 --0.906168810E+00-0.904926468E+00-0.903676990E+00-0.902420642E+00-0.901157424E+00 --0.899887336E+00-0.898610276E+00-0.897327084E+00-0.896037342E+00-0.894741688E+00 --0.893440121E+00-0.892132648E+00-0.890819606E+00-0.889502063E+00-0.888179940E+00 --0.886853237E+00-0.885521953E+00-0.884186883E+00-0.882848643E+00-0.881507093E+00 --0.880162346E+00-0.878815885E+00-0.877467986E+00-0.876118575E+00-0.874768289E+00 --0.873417147E+00-0.872065140E+00-0.870712999E+00-0.869362603E+00-0.868013467E+00 --0.866665084E+00-0.865319226E+00-0.863975895E+00-0.862635091E+00-0.861296580E+00 --0.859962230E+00-0.858632898E+00-0.857307973E+00-0.855987455E+00-0.854671344E+00 --0.853361593E+00-0.852058572E+00-0.850761630E+00-0.849471884E+00-0.848189357E+00 --0.846914662E+00-0.845648106E+00-0.844389914E+00-0.843140601E+00-0.841900166E+00 --0.840668609E+00-0.839447054E+00-0.838237034E+00-0.837036259E+00-0.835846875E+00 --0.834668767E+00-0.833501996E+00-0.832346563E+00-0.831202598E+00-0.830072614E+00 --0.828955273E+00-0.827850472E+00-0.826758845E+00-0.825681015E+00-0.824617083E+00 --0.823567380E+00-0.822531916E+00-0.821511193E+00-0.820505863E+00-0.819515869E+00 --0.818541326E+00-0.817582210E+00-0.816639182E+00-0.815712234E+00-0.814801818E+00 --0.813908481E+00-0.813032223E+00-0.812172961E+00-0.811330562E+00-0.810506446E+00 --0.809700611E+00-0.808913059E+00-0.808143788E+00-0.807392800E+00-0.806660094E+00 --0.805946388E+00-0.805252308E+00-0.804577797E+00-0.803922848E+00-0.803287464E+00 --0.802671941E+00-0.802076933E+00-0.801501892E+00-0.800947700E+00-0.800414478E+00 --0.799902087E+00-0.799410488E+00-0.798939901E+00-0.798490823E+00-0.798063254E+00 --0.797657194E+00-0.797273296E+00-0.796911642E+00-0.796571866E+00-0.796254073E+00 --0.795958261E+00-0.795684397E+00-0.795433729E+00-0.795206464E+00-0.795001901E+00 --0.794819933E+00-0.794660560E+00-0.794523782E+00-0.794410239E+00-0.794320148E+00 --0.794253182E+00-0.794209290E+00-0.794188229E+00-0.794190253E+00-0.794215602E+00 --0.794263152E+00-0.794333692E+00-0.794426614E+00-0.794541104E+00-0.794677954E+00 --0.794837119E+00-0.795018599E+00-0.795222177E+00-0.795446540E+00-0.795691645E+00 --0.795957492E+00-0.796243462E+00-0.796549905E+00-0.796876432E+00-0.797222483E+00 --0.797588458E+00-0.797974343E+00-0.798379715E+00-0.798803605E+00-0.799246919E+00 --0.799709244E+00-0.800190006E+00-0.800689204E+00-0.801206328E+00-0.801742004E+00 --0.802295777E+00-0.802867347E+00-0.803456713E+00-0.804063877E+00-0.804688093E+00 --0.805329376E+00-0.805988273E+00-0.806664323E+00-0.807357528E+00-0.808067887E+00 --0.808794992E+00-0.809538467E+00-0.810298313E+00-0.811074531E+00-0.811866623E+00 --0.812675325E+00-0.813500277E+00-0.814341224E+00-0.815198164E+00-0.816070874E+00 --0.816959268E+00-0.817863676E+00-0.818783600E+00-0.819719042E+00-0.820670000E+00 --0.821636522E+00-0.822618302E+00-0.823615434E+00-0.824628001E+00-0.825656001E+00 --0.826699242E+00-0.827757549E+00-0.828830922E+00-0.829919362E+00-0.831022880E+00 --0.832141629E+00-0.833275501E+00-0.834424458E+00-0.835588503E+00-0.836767640E+00 --0.837961870E+00-0.839171213E+00-0.840395678E+00-0.841635255E+00-0.842890023E+00 --0.844159989E+00-0.845445164E+00-0.846745715E+00-0.848061662E+00-0.849393004E+00 --0.850739732E+00-0.852101855E+00-0.853479744E+00-0.854873398E+00-0.856282817E+00 --0.857708001E+00-0.859148950E+00-0.860606059E+00-0.862079452E+00-0.863569003E+00 --0.865074667E+00-0.866596830E+00-0.868135890E+00-0.869691847E+00-0.871264699E+00 --0.872854546E+00-0.874461680E+00-0.876086155E+00-0.877727976E+00-0.879387143E+00 --0.881064000E+00-0.882759181E+00-0.884472701E+00-0.886204495E+00-0.887954469E+00 --0.889723244E+00-0.891510819E+00-0.893317195E+00-0.895143164E+00-0.896988158E+00 --0.898852871E+00-0.900737304E+00-0.902641457E+00-0.904565988E+00-0.906510345E+00 --0.908474975E+00-0.910460277E+00-0.912466251E+00-0.914493604E+00-0.916541449E+00 --0.918610646E+00-0.920700949E+00-0.922812884E+00-0.924946236E+00-0.927101473E+00 --0.929278693E+00-0.931477896E+00-0.933698875E+00-0.935941967E+00-0.938206800E+00 --0.940494558E+00-0.942805241E+00-0.945138850E+00-0.947495383E+00-0.949874842E+00 --0.952277227E+00-0.954702536E+00-0.957150771E+00-0.959621215E+00-0.962115770E+00 --0.964632225E+00-0.967171966E+00-0.969735254E+00-0.972322089E+00-0.974932471E+00 --0.947310671E+00-0.946272628E+00-0.945236677E+00-0.944202817E+00-0.943171049E+00 --0.942141372E+00-0.941113787E+00-0.940088294E+00-0.939064891E+00-0.938043581E+00 --0.937024362E+00-0.935992376E+00-0.934953650E+00-0.933911516E+00-0.932863185E+00 --0.931813618E+00-0.930755547E+00-0.929694196E+00-0.928629858E+00-0.927562616E+00 --0.926487619E+00-0.925406265E+00-0.924318685E+00-0.923224594E+00-0.922124676E+00 --0.921020269E+00-0.919910806E+00-0.918792832E+00-0.917667793E+00-0.916536894E+00 --0.915398577E+00-0.914253175E+00-0.913101396E+00-0.911942214E+00-0.910775388E+00 --0.909601079E+00-0.908419470E+00-0.907230558E+00-0.906034207E+00-0.904830524E+00 --0.903619485E+00-0.902401089E+00-0.901175569E+00-0.899943189E+00-0.898703872E+00 --0.897457533E+00-0.896204319E+00-0.894945111E+00-0.893679941E+00-0.892408548E+00 --0.891131129E+00-0.889847684E+00-0.888558486E+00-0.887264858E+00-0.885966906E+00 --0.884664690E+00-0.883358251E+00-0.882047223E+00-0.880733592E+00-0.879416704E+00 --0.878096507E+00-0.876774413E+00-0.875450875E+00-0.874124665E+00-0.872798027E+00 --0.871470960E+00-0.870143464E+00-0.868815754E+00-0.867487520E+00-0.866161381E+00 --0.864837080E+00-0.863514603E+00-0.862193950E+00-0.860875121E+00-0.859558117E+00 --0.858244946E+00-0.856936451E+00-0.855632601E+00-0.854333397E+00-0.853038839E+00 --0.851749287E+00-0.850465523E+00-0.849188262E+00-0.847917625E+00-0.846653562E+00 --0.845397963E+00-0.844149302E+00-0.842908013E+00-0.841675914E+00-0.840453006E+00 --0.839239288E+00-0.838034648E+00-0.836839536E+00-0.835654118E+00-0.834480104E+00 --0.833317401E+00-0.832165836E+00-0.831025408E+00-0.829896239E+00-0.828779730E+00 --0.827675687E+00-0.826584166E+00-0.825505245E+00-0.824440865E+00-0.823389044E+00 --0.822351277E+00-0.821327750E+00-0.820318462E+00-0.819325116E+00-0.818345829E+00 --0.817382061E+00-0.816433811E+00-0.815501480E+00-0.814585438E+00-0.813685417E+00 --0.812802417E+00-0.811936203E+00-0.811086753E+00-0.810254042E+00-0.809439456E+00 --0.808643154E+00-0.807865133E+00-0.807105497E+00-0.806364216E+00-0.805641238E+00 --0.804936710E+00-0.804251819E+00-0.803586751E+00-0.802941504E+00-0.802316079E+00 --0.801710477E+00-0.801124951E+00-0.800560210E+00-0.800016281E+00-0.799493165E+00 --0.798990862E+00-0.798509372E+00-0.798049555E+00-0.797611328E+00-0.797194609E+00 --0.796799540E+00-0.796427076E+00-0.796077249E+00-0.795749877E+00-0.795444423E+00 --0.795161001E+00-0.794900800E+00-0.794664123E+00-0.794450968E+00-0.794261115E+00 --0.794093902E+00-0.793949284E+00-0.793828170E+00-0.793731477E+00-0.793658851E+00 --0.793609312E+00-0.793582857E+00-0.793579839E+00-0.793600224E+00-0.793643893E+00 --0.793710858E+00-0.793800878E+00-0.793914089E+00-0.794049548E+00-0.794207302E+00 --0.794387470E+00-0.794590054E+00-0.794815053E+00-0.795061023E+00-0.795328430E+00 --0.795616712E+00-0.795925869E+00-0.796255685E+00-0.796605290E+00-0.796974681E+00 --0.797363981E+00-0.797773191E+00-0.798202019E+00-0.798649963E+00-0.799117027E+00 --0.799602834E+00-0.800106914E+00-0.800629639E+00-0.801170935E+00-0.801730270E+00 --0.802307650E+00-0.802902922E+00-0.803515990E+00-0.804146917E+00-0.804795186E+00 --0.805460756E+00-0.806143629E+00-0.806843605E+00-0.807560624E+00-0.808294797E+00 --0.809045677E+00-0.809812895E+00-0.810596528E+00-0.811396700E+00-0.812213102E+00 --0.813045734E+00-0.813894536E+00-0.814759338E+00-0.815640112E+00-0.816536736E+00 --0.817449228E+00-0.818377628E+00-0.819321620E+00-0.820281129E+00-0.821256155E+00 --0.822246647E+00-0.823252489E+00-0.824273674E+00-0.825310247E+00-0.826362254E+00 --0.827429501E+00-0.828511814E+00-0.829609293E+00-0.830721996E+00-0.831849873E+00 --0.832992924E+00-0.834151131E+00-0.835324435E+00-0.836512830E+00-0.837716317E+00 --0.838934898E+00-0.840168676E+00-0.841417669E+00-0.842681892E+00-0.843961301E+00 --0.845255897E+00-0.846565755E+00-0.847891009E+00-0.849231660E+00-0.850587771E+00 --0.851959421E+00-0.853346586E+00-0.854749337E+00-0.856167909E+00-0.857602302E+00 --0.859052515E+00-0.860518758E+00-0.862001069E+00-0.863499652E+00-0.865014374E+00 --0.866545196E+00-0.868092630E+00-0.869656959E+00-0.871238171E+00-0.872836131E+00 --0.874450829E+00-0.876082837E+00-0.877732392E+00-0.879399493E+00-0.881084117E+00 --0.882786278E+00-0.884506706E+00-0.886245138E+00-0.888001572E+00-0.889776133E+00 --0.891569421E+00-0.893381510E+00-0.895212608E+00-0.897062932E+00-0.898932354E+00 --0.900821033E+00-0.902729432E+00-0.904657641E+00-0.906605964E+00-0.908573933E+00 --0.910561684E+00-0.912570052E+00-0.914599093E+00-0.916649056E+00-0.918719662E+00 --0.920811086E+00-0.922923951E+00-0.925058204E+00-0.927213553E+00-0.929390514E+00 --0.931589209E+00-0.933809636E+00-0.936051986E+00-0.938316423E+00-0.940602159E+00 --0.942909906E+00-0.945240577E+00-0.947594174E+00-0.949970696E+00-0.952370144E+00 --0.954792516E+00-0.957236489E+00-0.959702791E+00-0.962193166E+00-0.964706786E+00 --0.967243651E+00-0.969803760E+00-0.972387114E+00-0.974993714E+00-0.977623352E+00 --0.942606195E+00-0.941745963E+00-0.940872250E+00-0.939985057E+00-0.939084384E+00 --0.938170231E+00-0.937242598E+00-0.936291508E+00-0.935341257E+00-0.934393097E+00 --0.933447029E+00-0.932475704E+00-0.931498498E+00-0.930511098E+00-0.929513644E+00 --0.928511330E+00-0.927500509E+00-0.926481478E+00-0.925458561E+00-0.924428742E+00 --0.923390198E+00-0.922344189E+00-0.921290716E+00-0.920230355E+00-0.919165479E+00 --0.918091587E+00-0.917011100E+00-0.915922373E+00-0.914825405E+00-0.913720914E+00 --0.912609240E+00-0.911490284E+00-0.910364046E+00-0.909229955E+00-0.908087885E+00 --0.906938165E+00-0.905780797E+00-0.904616652E+00-0.903444205E+00-0.902264225E+00 --0.901076894E+00-0.899882245E+00-0.898680600E+00-0.897471850E+00-0.896256016E+00 --0.895033158E+00-0.893803025E+00-0.892566800E+00-0.891324646E+00-0.890076563E+00 --0.888822551E+00-0.887563028E+00-0.886297685E+00-0.885027869E+00-0.883753270E+00 --0.882474127E+00-0.881190648E+00-0.879902887E+00-0.878612078E+00-0.877318677E+00 --0.876022684E+00-0.874724085E+00-0.873422501E+00-0.872119729E+00-0.870815963E+00 --0.869511204E+00-0.868205559E+00-0.866900829E+00-0.865595599E+00-0.864290278E+00 --0.862987027E+00-0.861685848E+00-0.860386739E+00-0.859089644E+00-0.857794210E+00 --0.856501593E+00-0.855213527E+00-0.853929567E+00-0.852649682E+00-0.851373872E+00 --0.850104218E+00-0.848838978E+00-0.847580007E+00-0.846327610E+00-0.845081910E+00 --0.843843332E+00-0.842611883E+00-0.841387570E+00-0.840171623E+00-0.838964867E+00 --0.837766757E+00-0.836577008E+00-0.835397610E+00-0.834227966E+00-0.833067901E+00 --0.831918973E+00-0.830781183E+00-0.829654720E+00-0.828539376E+00-0.827434955E+00 --0.826343007E+00-0.825264031E+00-0.824198026E+00-0.823144926E+00-0.822104945E+00 --0.821079027E+00-0.820067080E+00-0.819069106E+00-0.818086240E+00-0.817117228E+00 --0.816163737E+00-0.815225803E+00-0.814303425E+00-0.813397274E+00-0.812506809E+00 --0.811633273E+00-0.810776566E+00-0.809936623E+00-0.809113554E+00-0.808308271E+00 --0.807521004E+00-0.806752040E+00-0.806001378E+00-0.805269019E+00-0.804554963E+00 --0.803859273E+00-0.803183596E+00-0.802527741E+00-0.801891652E+00-0.801275317E+00 --0.800678773E+00-0.800102075E+00-0.799546571E+00-0.799012375E+00-0.798499336E+00 --0.798007121E+00-0.797535718E+00-0.797086306E+00-0.796658909E+00-0.796252559E+00 --0.795868847E+00-0.795507773E+00-0.795169336E+00-0.794853546E+00-0.794560456E+00 --0.794290723E+00-0.794044516E+00-0.793821829E+00-0.793622664E+00-0.793447023E+00 --0.793294575E+00-0.793165857E+00-0.793061560E+00-0.792981682E+00-0.792926225E+00 --0.792894294E+00-0.792885727E+00-0.792901420E+00-0.792940397E+00-0.793002741E+00 --0.793089251E+00-0.793200017E+00-0.793333499E+00-0.793490028E+00-0.793669791E+00 --0.793872025E+00-0.794096673E+00-0.794343693E+00-0.794612354E+00-0.794902658E+00 --0.795214326E+00-0.795546873E+00-0.795900511E+00-0.796274262E+00-0.796667858E+00 --0.797081300E+00-0.797514318E+00-0.797967195E+00-0.798439192E+00-0.798930310E+00 --0.799440548E+00-0.799968574E+00-0.800515967E+00-0.801081543E+00-0.801665160E+00 --0.802266817E+00-0.802886596E+00-0.803524805E+00-0.804180152E+00-0.804852801E+00 --0.805542753E+00-0.806250006E+00-0.806974561E+00-0.807716419E+00-0.808474430E+00 --0.809249119E+00-0.810040516E+00-0.810848822E+00-0.811673358E+00-0.812514125E+00 --0.813371121E+00-0.814244347E+00-0.815133469E+00-0.816038611E+00-0.816959622E+00 --0.817896501E+00-0.818849248E+00-0.819817330E+00-0.820800906E+00-0.821800339E+00 --0.822815198E+00-0.823845402E+00-0.824890950E+00-0.825951842E+00-0.827027971E+00 --0.828119341E+00-0.829226065E+00-0.830347962E+00-0.831485034E+00-0.832637278E+00 --0.833804697E+00-0.834987289E+00-0.836185014E+00-0.837397752E+00-0.838625666E+00 --0.839868792E+00-0.841127130E+00-0.842400681E+00-0.843689445E+00-0.844993420E+00 --0.846312627E+00-0.847647162E+00-0.848996986E+00-0.850362350E+00-0.851743254E+00 --0.853139697E+00-0.854551679E+00-0.855979201E+00-0.857422529E+00-0.858881644E+00 --0.860356781E+00-0.861847942E+00-0.863355125E+00-0.864878331E+00-0.866418118E+00 --0.867974108E+00-0.869546774E+00-0.871136032E+00-0.872742003E+00-0.874364688E+00 --0.876004132E+00-0.877660937E+00-0.879335289E+00-0.881027142E+00-0.882736313E+00 --0.884463051E+00-0.886207965E+00-0.887970957E+00-0.889751948E+00-0.891550941E+00 --0.893368677E+00-0.895205175E+00-0.897060129E+00-0.898934212E+00-0.900827423E+00 --0.902739762E+00-0.904671989E+00-0.906623773E+00-0.908595160E+00-0.910586193E+00 --0.912596876E+00-0.914628311E+00-0.916680335E+00-0.918752468E+00-0.920845293E+00 --0.922958916E+00-0.925093912E+00-0.927249755E+00-0.929426495E+00-0.931624808E+00 --0.933844801E+00-0.936086474E+00-0.938349872E+00-0.940634982E+00-0.942941805E+00 --0.945269764E+00-0.947620424E+00-0.949994009E+00-0.952390389E+00-0.954808984E+00 --0.957249957E+00-0.959713310E+00-0.962199502E+00-0.964708942E+00-0.967241626E+00 --0.969797556E+00-0.972376730E+00-0.974979150E+00-0.977604814E+00-0.980253723E+00 --0.938072909E+00-0.937319127E+00-0.936551865E+00-0.935771123E+00-0.934976901E+00 --0.934169198E+00-0.933348015E+00-0.932513352E+00-0.931665208E+00-0.930803585E+00 --0.929890667E+00-0.928974997E+00-0.928055962E+00-0.927123303E+00-0.926176726E+00 --0.925219709E+00-0.924254185E+00-0.923280153E+00-0.922297614E+00-0.921304622E+00 --0.920302405E+00-0.919291811E+00-0.918273205E+00-0.917246587E+00-0.916211958E+00 --0.915169508E+00-0.914118224E+00-0.913058541E+00-0.911990820E+00-0.910914647E+00 --0.909829483E+00-0.908737077E+00-0.907636569E+00-0.906527167E+00-0.905409845E+00 --0.904284875E+00-0.903152296E+00-0.902011793E+00-0.900863116E+00-0.899706696E+00 --0.898542945E+00-0.897371396E+00-0.896192568E+00-0.895006703E+00-0.893813801E+00 --0.892613652E+00-0.891406341E+00-0.890193103E+00-0.888973883E+00-0.887748648E+00 --0.886517398E+00-0.885280133E+00-0.884037117E+00-0.882789679E+00-0.881537352E+00 --0.880280682E+00-0.879019670E+00-0.877754315E+00-0.876486071E+00-0.875215009E+00 --0.873941072E+00-0.872664288E+00-0.871384659E+00-0.870103493E+00-0.868821378E+00 --0.867538129E+00-0.866254187E+00-0.864969999E+00-0.863685565E+00-0.862401016E+00 --0.861118125E+00-0.859837303E+00-0.858558425E+00-0.857281317E+00-0.856006006E+00 --0.854732805E+00-0.853463477E+00-0.852198224E+00-0.850937070E+00-0.849680329E+00 --0.848427964E+00-0.847180611E+00-0.845939577E+00-0.844703335E+00-0.843474221E+00 --0.842252236E+00-0.841037044E+00-0.839827935E+00-0.838627958E+00-0.837436182E+00 --0.836252701E+00-0.835077651E+00-0.833911942E+00-0.832756047E+00-0.831610008E+00 --0.830474854E+00-0.829350174E+00-0.828236223E+00-0.827133088E+00-0.826040768E+00 --0.824960664E+00-0.823893546E+00-0.822839203E+00-0.821797180E+00-0.820767713E+00 --0.819752050E+00-0.818750359E+00-0.817763014E+00-0.816790062E+00-0.815830950E+00 --0.814886735E+00-0.813958077E+00-0.813045020E+00-0.812148061E+00-0.811266821E+00 --0.810401922E+00-0.809553953E+00-0.808722912E+00-0.807909030E+00-0.807112176E+00 --0.806333032E+00-0.805572326E+00-0.804830057E+00-0.804106225E+00-0.803400830E+00 --0.802714141E+00-0.802046812E+00-0.801399527E+00-0.800772051E+00-0.800164367E+00 --0.799576442E+00-0.799008689E+00-0.798462244E+00-0.797937106E+00-0.797433275E+00 --0.796950753E+00-0.796489538E+00-0.796049949E+00-0.795632271E+00-0.795237046E+00 --0.794864582E+00-0.794514879E+00-0.794187937E+00-0.793883758E+00-0.793603249E+00 --0.793347085E+00-0.793114752E+00-0.792905985E+00-0.792720783E+00-0.792559608E+00 --0.792422365E+00-0.792310846E+00-0.792223745E+00-0.792160887E+00-0.792122272E+00 --0.792108040E+00-0.792118174E+00-0.792152388E+00-0.792210857E+00-0.792293581E+00 --0.792400560E+00-0.792531794E+00-0.792686955E+00-0.792865271E+00-0.793066721E+00 --0.793291305E+00-0.793538542E+00-0.793807899E+00-0.794099874E+00-0.794413492E+00 --0.794748753E+00-0.795105681E+00-0.795483499E+00-0.795881618E+00-0.796300017E+00 --0.796738698E+00-0.797196862E+00-0.797674357E+00-0.798171434E+00-0.798687441E+00 --0.799222377E+00-0.799776037E+00-0.800347936E+00-0.800938276E+00-0.801546934E+00 --0.802173817E+00-0.802818926E+00-0.803482047E+00-0.804162363E+00-0.804860255E+00 --0.805575305E+00-0.806307429E+00-0.807056627E+00-0.807822899E+00-0.808606244E+00 --0.809406153E+00-0.810222511E+00-0.811055241E+00-0.811904342E+00-0.812769815E+00 --0.813651659E+00-0.814549875E+00-0.815464170E+00-0.816394101E+00-0.817339710E+00 --0.818300997E+00-0.819277962E+00-0.820270730E+00-0.821279190E+00-0.822303029E+00 --0.823342265E+00-0.824396916E+00-0.825466982E+00-0.826552464E+00-0.827653331E+00 --0.828769231E+00-0.829900438E+00-0.831046835E+00-0.832208407E+00-0.833385151E+00 --0.834577070E+00-0.835784162E+00-0.837006318E+00-0.838243588E+00-0.839496035E+00 --0.840763694E+00-0.842046566E+00-0.843344650E+00-0.844657946E+00-0.845986466E+00 --0.847330292E+00-0.848689363E+00-0.850063805E+00-0.851453775E+00-0.852859273E+00 --0.854280299E+00-0.855716868E+00-0.857168974E+00-0.858637158E+00-0.860120857E+00 --0.861620562E+00-0.863136374E+00-0.864668292E+00-0.866216317E+00-0.867780448E+00 --0.869361095E+00-0.870958275E+00-0.872572196E+00-0.874202858E+00-0.875850261E+00 --0.877514464E+00-0.879195953E+00-0.880894742E+00-0.882610831E+00-0.884344219E+00 --0.886094962E+00-0.887863738E+00-0.889650707E+00-0.891455869E+00-0.893279225E+00 --0.895121013E+00-0.896980973E+00-0.898859686E+00-0.900757531E+00-0.902674284E+00 --0.904609902E+00-0.906564756E+00-0.908539348E+00-0.910533618E+00-0.912547672E+00 --0.914581416E+00-0.916635053E+00-0.918709607E+00-0.920803873E+00-0.922918829E+00 --0.925054477E+00-0.927210899E+00-0.929388122E+00-0.931586185E+00-0.933805505E+00 --0.936046479E+00-0.938308710E+00-0.940592576E+00-0.942898076E+00-0.945225211E+00 --0.947574132E+00-0.949944911E+00-0.952338251E+00-0.954753969E+00-0.957192068E+00 --0.959652545E+00-0.962134777E+00-0.964640037E+00-0.967168542E+00-0.969720291E+00 --0.972295286E+00-0.974893526E+00-0.977515010E+00-0.980159739E+00-0.982827688E+00 --0.933729687E+00-0.933082356E+00-0.932421544E+00-0.931747252E+00-0.931059480E+00 --0.930358228E+00-0.929643495E+00-0.928899667E+00-0.928086321E+00-0.927242124E+00 --0.926367075E+00-0.925500772E+00-0.924631645E+00-0.923749095E+00-0.922852432E+00 --0.921943348E+00-0.921023567E+00-0.920091668E+00-0.919147652E+00-0.918191517E+00 --0.917226823E+00-0.916252316E+00-0.915267531E+00-0.914273978E+00-0.913272038E+00 --0.912259196E+00-0.911237400E+00-0.910206651E+00-0.909166948E+00-0.908117976E+00 --0.907060551E+00-0.905994595E+00-0.904919697E+00-0.903835859E+00-0.902743358E+00 --0.901643136E+00-0.900534279E+00-0.899417153E+00-0.898291852E+00-0.897158377E+00 --0.896017666E+00-0.894868692E+00-0.893712869E+00-0.892549499E+00-0.891378515E+00 --0.890200222E+00-0.889015849E+00-0.887824391E+00-0.886626918E+00-0.885423431E+00 --0.884214046E+00-0.882998561E+00-0.881777177E+00-0.880551224E+00-0.879320557E+00 --0.878085267E+00-0.876845634E+00-0.875601328E+00-0.874353789E+00-0.873103564E+00 --0.871850653E+00-0.870595056E+00-0.869336773E+00-0.868075822E+00-0.866813596E+00 --0.865550598E+00-0.864287357E+00-0.863023557E+00-0.861759199E+00-0.860494282E+00 --0.859231946E+00-0.857969117E+00-0.856708296E+00-0.855449759E+00-0.854193298E+00 --0.852938634E+00-0.851686537E+00-0.850439410E+00-0.849195394E+00-0.847955754E+00 --0.846720492E+00-0.845489545E+00-0.844264034E+00-0.843044709E+00-0.841831570E+00 --0.840624618E+00-0.839423853E+00-0.838230144E+00-0.837044563E+00-0.835866603E+00 --0.834697633E+00-0.833536208E+00-0.832383752E+00-0.831241131E+00-0.830107767E+00 --0.828983617E+00-0.827870428E+00-0.826768338E+00-0.825677347E+00-0.824597265E+00 --0.823528673E+00-0.822472292E+00-0.821428216E+00-0.820396444E+00-0.819376975E+00 --0.818371449E+00-0.817379776E+00-0.816401688E+00-0.815437531E+00-0.814487305E+00 --0.813552196E+00-0.812632814E+00-0.811728171E+00-0.810839325E+00-0.809966472E+00 --0.809109909E+00-0.808269631E+00-0.807446588E+00-0.806640777E+00-0.805852200E+00 --0.805080856E+00-0.804327779E+00-0.803593290E+00-0.802877296E+00-0.802179906E+00 --0.801501121E+00-0.800841393E+00-0.800201714E+00-0.799582120E+00-0.798982613E+00 --0.798403643E+00-0.797844757E+00-0.797307004E+00-0.796790454E+00-0.796295107E+00 --0.795820962E+00-0.795368703E+00-0.794938835E+00-0.794531154E+00-0.794146894E+00 --0.793785976E+00-0.793447890E+00-0.793132565E+00-0.792840640E+00-0.792573202E+00 --0.792330116E+00-0.792111380E+00-0.791916556E+00-0.791746345E+00-0.791601003E+00 --0.791479998E+00-0.791384554E+00-0.791314765E+00-0.791269439E+00-0.791248357E+00 --0.791251531E+00-0.791280052E+00-0.791334751E+00-0.791413774E+00-0.791517044E+00 --0.791644561E+00-0.791796325E+00-0.791972456E+00-0.792172692E+00-0.792396347E+00 --0.792643420E+00-0.792913911E+00-0.793206763E+00-0.793523006E+00-0.793861219E+00 --0.794221404E+00-0.794603103E+00-0.795005678E+00-0.795429260E+00-0.795873260E+00 --0.796337493E+00-0.796821340E+00-0.797324614E+00-0.797847255E+00-0.798388600E+00 --0.798949741E+00-0.799529383E+00-0.800127244E+00-0.800743322E+00-0.801377619E+00 --0.802030133E+00-0.802700623E+00-0.803389282E+00-0.804095471E+00-0.804818806E+00 --0.805559290E+00-0.806316753E+00-0.807091259E+00-0.807882811E+00-0.808691179E+00 --0.809516674E+00-0.810358619E+00-0.811216682E+00-0.812090931E+00-0.812981544E+00 --0.813888530E+00-0.814811887E+00-0.815751111E+00-0.816706004E+00-0.817676575E+00 --0.818662813E+00-0.819664756E+00-0.820682419E+00-0.821715855E+00-0.822764593E+00 --0.823828621E+00-0.824908027E+00-0.826002849E+00-0.827113086E+00-0.828238675E+00 --0.829379383E+00-0.830535241E+00-0.831706240E+00-0.832892381E+00-0.834093695E+00 --0.835310211E+00-0.836541884E+00-0.837788679E+00-0.839050596E+00-0.840327632E+00 --0.841619810E+00-0.842927201E+00-0.844249806E+00-0.845587661E+00-0.846940779E+00 --0.848309159E+00-0.849692801E+00-0.851091771E+00-0.852506262E+00-0.853936291E+00 --0.855381837E+00-0.856842874E+00-0.858319478E+00-0.859811974E+00-0.861320363E+00 --0.862844541E+00-0.864384762E+00-0.865941112E+00-0.867513604E+00-0.869102146E+00 --0.870707136E+00-0.872328879E+00-0.873966995E+00-0.875621798E+00-0.877293342E+00 --0.878981644E+00-0.880687132E+00-0.882409985E+00-0.884150213E+00-0.885907819E+00 --0.887682650E+00-0.889475289E+00-0.891286120E+00-0.893115069E+00-0.894961920E+00 --0.896826662E+00-0.898710159E+00-0.900612441E+00-0.902533289E+00-0.904473003E+00 --0.906431369E+00-0.908409000E+00-0.910406309E+00-0.912423296E+00-0.914459962E+00 --0.916516009E+00-0.918591430E+00-0.920687755E+00-0.922803931E+00-0.924940458E+00 --0.927097337E+00-0.929274783E+00-0.931473311E+00-0.933692814E+00-0.935933228E+00 --0.938194492E+00-0.940477250E+00-0.942781662E+00-0.945107459E+00-0.947454627E+00 --0.949823973E+00-0.952214754E+00-0.954627597E+00-0.957062820E+00-0.959520422E+00 --0.961998992E+00-0.964500072E+00-0.967024397E+00-0.969571966E+00-0.972142781E+00 --0.974736841E+00-0.977354347E+00-0.979994946E+00-0.982658249E+00-0.985344255E+00 --0.929576529E+00-0.929035648E+00-0.928481287E+00-0.927913445E+00-0.927332124E+00 --0.926675193E+00-0.925979577E+00-0.925253110E+00-0.924495792E+00-0.923707622E+00 --0.922888600E+00-0.922071644E+00-0.921249719E+00-0.920411932E+00-0.919558932E+00 --0.918693265E+00-0.917814190E+00-0.916921604E+00-0.916016599E+00-0.915099476E+00 --0.914169925E+00-0.913229672E+00-0.912279327E+00-0.911318890E+00-0.910346750E+00 --0.909363563E+00-0.908370873E+00-0.907368681E+00-0.906356985E+00-0.905335914E+00 --0.904304254E+00-0.903263643E+00-0.902214041E+00-0.901155594E+00-0.900088422E+00 --0.899012056E+00-0.897926481E+00-0.896832764E+00-0.895730797E+00-0.894620094E+00 --0.893501835E+00-0.892375776E+00-0.891241685E+00-0.890099980E+00-0.888950663E+00 --0.887793814E+00-0.886630406E+00-0.885460649E+00-0.884284499E+00-0.883102225E+00 --0.881913761E+00-0.880719107E+00-0.879518515E+00-0.878313104E+00-0.877103004E+00 --0.875888217E+00-0.874668697E+00-0.873444580E+00-0.872217693E+00-0.870987630E+00 --0.869754393E+00-0.868517980E+00-0.867278904E+00-0.866038347E+00-0.864795596E+00 --0.863552418E+00-0.862307758E+00-0.861062426E+00-0.859816536E+00-0.858570408E+00 --0.857325533E+00-0.856081601E+00-0.854838573E+00-0.853596820E+00-0.852357278E+00 --0.851119947E+00-0.849884827E+00-0.848653089E+00-0.847425465E+00-0.846202006E+00 --0.844982451E+00-0.843766957E+00-0.842557367E+00-0.841353293E+00-0.840154684E+00 --0.838962262E+00-0.837775796E+00-0.836595932E+00-0.835423689E+00-0.834259067E+00 --0.833101688E+00-0.831953726E+00-0.830814215E+00-0.829683495E+00-0.828561568E+00 --0.827448556E+00-0.826346125E+00-0.825254792E+00-0.824174565E+00-0.823105421E+00 --0.822046438E+00-0.820999219E+00-0.819964625E+00-0.818942654E+00-0.817933307E+00 --0.816936710E+00-0.815953303E+00-0.814984010E+00-0.814028648E+00-0.813087216E+00 --0.812160120E+00-0.811248660E+00-0.810352006E+00-0.809471102E+00-0.808605412E+00 --0.807756459E+00-0.806923583E+00-0.806107651E+00-0.805309044E+00-0.804527762E+00 --0.803763865E+00-0.803018120E+00-0.802290191E+00-0.801581302E+00-0.800891323E+00 --0.800219958E+00-0.799567771E+00-0.798935457E+00-0.798323114E+00-0.797731205E+00 --0.797159730E+00-0.796608689E+00-0.796079077E+00-0.795570714E+00-0.795083536E+00 --0.794618250E+00-0.794175503E+00-0.793755262E+00-0.793357904E+00-0.792983968E+00 --0.792633454E+00-0.792306375E+00-0.792003210E+00-0.791724403E+00-0.791470269E+00 --0.791240663E+00-0.791035579E+00-0.790855622E+00-0.790701227E+00-0.790571675E+00 --0.790467053E+00-0.790388204E+00-0.790335181E+00-0.790307777E+00-0.790304228E+00 --0.790326455E+00-0.790374746E+00-0.790448895E+00-0.790548444E+00-0.790672282E+00 --0.790820368E+00-0.790993278E+00-0.791191249E+00-0.791414170E+00-0.791661276E+00 --0.791931718E+00-0.792225304E+00-0.792542451E+00-0.792883552E+00-0.793246787E+00 --0.793632040E+00-0.794039174E+00-0.794467353E+00-0.794916576E+00-0.795386906E+00 --0.795877662E+00-0.796387823E+00-0.796917480E+00-0.797466633E+00-0.798034432E+00 --0.798622263E+00-0.799228274E+00-0.799852464E+00-0.800494833E+00-0.801155381E+00 --0.801834108E+00-0.802531015E+00-0.803245796E+00-0.803977932E+00-0.804727317E+00 --0.805493849E+00-0.806277530E+00-0.807077980E+00-0.807895477E+00-0.808729959E+00 --0.809581440E+00-0.810449262E+00-0.811333202E+00-0.812233259E+00-0.813149434E+00 --0.814081727E+00-0.815030161E+00-0.815994538E+00-0.816974746E+00-0.817970675E+00 --0.818982325E+00-0.820009695E+00-0.821052786E+00-0.822111384E+00-0.823185262E+00 --0.824274430E+00-0.825378890E+00-0.826498641E+00-0.827633682E+00-0.828783987E+00 --0.829949514E+00-0.831130197E+00-0.832326036E+00-0.833537031E+00-0.834763119E+00 --0.836004330E+00-0.837260663E+00-0.838532117E+00-0.839818693E+00-0.841120390E+00 --0.842437207E+00-0.843769092E+00-0.845116223E+00-0.846478614E+00-0.847856264E+00 --0.849249175E+00-0.850657345E+00-0.852080833E+00-0.853519804E+00-0.854974281E+00 --0.856444249E+00-0.857929706E+00-0.859430659E+00-0.860947467E+00-0.862480169E+00 --0.864028582E+00-0.865593283E+00-0.867173889E+00-0.868770545E+00-0.870383250E+00 --0.872012133E+00-0.873657648E+00-0.875319834E+00-0.876998707E+00-0.878694392E+00 --0.880406729E+00-0.882135978E+00-0.883882591E+00-0.885646569E+00-0.887427773E+00 --0.889226371E+00-0.891042921E+00-0.892877074E+00-0.894729117E+00-0.896599051E+00 --0.898486876E+00-0.900393009E+00-0.902317995E+00-0.904261814E+00-0.906224463E+00 --0.908205314E+00-0.910205458E+00-0.912225034E+00-0.914264041E+00-0.916322481E+00 --0.918400547E+00-0.920498037E+00-0.922615644E+00-0.924753541E+00-0.926911275E+00 --0.929089348E+00-0.931287719E+00-0.933506865E+00-0.935747043E+00-0.938008110E+00 --0.940289937E+00-0.942592983E+00-0.944917342E+00-0.947263071E+00-0.949630417E+00 --0.952019388E+00-0.954429867E+00-0.956862214E+00-0.959316941E+00-0.961792146E+00 --0.964289046E+00-0.966809191E+00-0.969352581E+00-0.971919893E+00-0.974510318E+00 --0.977123446E+00-0.979759277E+00-0.982417812E+00-0.985099050E+00-0.987802991E+00 --0.925613434E+00-0.925179004E+00-0.924695353E+00-0.924148320E+00-0.923570434E+00 --0.922961698E+00-0.922322110E+00-0.921651670E+00-0.920950379E+00-0.920218236E+00 --0.919455242E+00-0.918686776E+00-0.917905960E+00-0.917110038E+00-0.916298200E+00 --0.915471281E+00-0.914630953E+00-0.913777217E+00-0.912910073E+00-0.912029520E+00 --0.911135724E+00-0.910229982E+00-0.909312311E+00-0.908382712E+00-0.907441185E+00 --0.906487731E+00-0.905523158E+00-0.904549297E+00-0.903565456E+00-0.902570717E+00 --0.901565065E+00-0.900549056E+00-0.899524027E+00-0.898490009E+00-0.897446790E+00 --0.896393992E+00-0.895331832E+00-0.894260936E+00-0.893181305E+00-0.892092936E+00 --0.890996279E+00-0.889891596E+00-0.888778889E+00-0.887658180E+00-0.886530529E+00 --0.885395203E+00-0.884252719E+00-0.883103671E+00-0.881947338E+00-0.880784479E+00 --0.879615826E+00-0.878441417E+00-0.877261706E+00-0.876076174E+00-0.874885587E+00 --0.873689944E+00-0.872489889E+00-0.871286007E+00-0.870078008E+00-0.868866736E+00 --0.867652289E+00-0.866435273E+00-0.865215302E+00-0.863992207E+00-0.862766477E+00 --0.861540125E+00-0.860313366E+00-0.859086199E+00-0.857858715E+00-0.856629977E+00 --0.855401797E+00-0.854174561E+00-0.852948268E+00-0.851722920E+00-0.850499092E+00 --0.849278618E+00-0.848060037E+00-0.846844222E+00-0.845632342E+00-0.844423530E+00 --0.843217766E+00-0.842015986E+00-0.840819820E+00-0.839629289E+00-0.838444394E+00 --0.837265133E+00-0.836092040E+00-0.834925724E+00-0.833766184E+00-0.832613421E+00 --0.831467569E+00-0.830330400E+00-0.829201998E+00-0.828082440E+00-0.826971950E+00 --0.825870195E+00-0.824778521E+00-0.823697745E+00-0.822627181E+00-0.821566776E+00 --0.820516530E+00-0.819478055E+00-0.818452221E+00-0.817439011E+00-0.816438475E+00 --0.815450089E+00-0.814473966E+00-0.813511801E+00-0.812563882E+00-0.811630207E+00 --0.810711048E+00-0.809806773E+00-0.808917425E+00-0.808043284E+00-0.807184426E+00 --0.806341892E+00-0.805516013E+00-0.804706862E+00-0.803914952E+00-0.803140376E+00 --0.802383107E+00-0.801643146E+00-0.800921341E+00-0.800218608E+00-0.799534927E+00 --0.798870497E+00-0.798224913E+00-0.797598802E+00-0.796993388E+00-0.796408671E+00 --0.795844650E+00-0.795301326E+00-0.794778295E+00-0.794277491E+00-0.793798979E+00 --0.793343011E+00-0.792909549E+00-0.792498591E+00-0.792111440E+00-0.791748221E+00 --0.791408899E+00-0.791093474E+00-0.790802164E+00-0.790536292E+00-0.790295902E+00 --0.790080161E+00-0.789889234E+00-0.789724184E+00-0.789585025E+00-0.789471622E+00 --0.789383528E+00-0.789321203E+00-0.789284868E+00-0.789274713E+00-0.789290756E+00 --0.789332971E+00-0.789400991E+00-0.789494909E+00-0.789614686E+00-0.789759291E+00 --0.789929654E+00-0.790124968E+00-0.790345233E+00-0.790590449E+00-0.790860616E+00 --0.791155506E+00-0.791473526E+00-0.791815749E+00-0.792181831E+00-0.792570088E+00 --0.792981166E+00-0.793413904E+00-0.793867692E+00-0.794343144E+00-0.794840649E+00 --0.795359005E+00-0.795896487E+00-0.796453467E+00-0.797029739E+00-0.797625061E+00 --0.798239591E+00-0.798872676E+00-0.799523940E+00-0.800193384E+00-0.800881023E+00 --0.801586713E+00-0.802310423E+00-0.803052152E+00-0.803811281E+00-0.804587358E+00 --0.805380681E+00-0.806191086E+00-0.807018277E+00-0.807862254E+00-0.808722954E+00 --0.809600420E+00-0.810494118E+00-0.811403934E+00-0.812329980E+00-0.813272367E+00 --0.814231069E+00-0.815205436E+00-0.816195636E+00-0.817201723E+00-0.818223353E+00 --0.819260529E+00-0.820313324E+00-0.821381842E+00-0.822465702E+00-0.823564728E+00 --0.824679184E+00-0.825808944E+00-0.826954006E+00-0.828114370E+00-0.829289888E+00 --0.830480421E+00-0.831686066E+00-0.832906874E+00-0.834142833E+00-0.835393830E+00 --0.836659821E+00-0.837940868E+00-0.839237037E+00-0.840548327E+00-0.841874727E+00 --0.843216211E+00-0.844572787E+00-0.845944455E+00-0.847331283E+00-0.848733375E+00 --0.850150726E+00-0.851583320E+00-0.853031283E+00-0.854494614E+00-0.855973314E+00 --0.857467487E+00-0.858977293E+00-0.860502542E+00-0.862043599E+00-0.863600287E+00 --0.865172862E+00-0.866761497E+00-0.868366120E+00-0.869986889E+00-0.871623757E+00 --0.873276586E+00-0.874945873E+00-0.876631831E+00-0.878334461E+00-0.880053762E+00 --0.881789802E+00-0.883542837E+00-0.885312995E+00-0.887100272E+00-0.888904669E+00 --0.890726304E+00-0.892565701E+00-0.894422885E+00-0.896297920E+00-0.898190937E+00 --0.900101844E+00-0.902030732E+00-0.903978325E+00-0.905944497E+00-0.907929225E+00 --0.909932603E+00-0.911954741E+00-0.913996227E+00-0.916057149E+00-0.918137426E+00 --0.920236947E+00-0.922355712E+00-0.924494264E+00-0.926652902E+00-0.928831558E+00 --0.931030696E+00-0.933250048E+00-0.935489811E+00-0.937750380E+00-0.940031382E+00 --0.942332902E+00-0.944655669E+00-0.946999820E+00-0.949365322E+00-0.951752085E+00 --0.954160477E+00-0.956590383E+00-0.959042102E+00-0.961514239E+00-0.964006960E+00 --0.966524326E+00-0.969064576E+00-0.971627529E+00-0.974213186E+00-0.976821545E+00 --0.979452609E+00-0.982106375E+00-0.984782845E+00-0.987482018E+00-0.990203894E+00 --0.921748351E+00-0.921319048E+00-0.920858893E+00-0.920367887E+00-0.919846029E+00 --0.919295772E+00-0.918714690E+00-0.918099721E+00-0.917450865E+00-0.916768121E+00 --0.916051489E+00-0.915330425E+00-0.914597002E+00-0.913843914E+00-0.913073238E+00 --0.912285066E+00-0.911483486E+00-0.910667727E+00-0.909835542E+00-0.908986791E+00 --0.908128355E+00-0.907253370E+00-0.906365466E+00-0.905465778E+00-0.904554307E+00 --0.903631052E+00-0.902696014E+00-0.901748599E+00-0.900790651E+00-0.899821892E+00 --0.898842312E+00-0.897851800E+00-0.896850985E+00-0.895840553E+00-0.894820558E+00 --0.893791001E+00-0.892751882E+00-0.891703075E+00-0.890644644E+00-0.889577372E+00 --0.888501936E+00-0.887418457E+00-0.886326934E+00-0.885227368E+00-0.884119758E+00 --0.883004344E+00-0.881882149E+00-0.880752658E+00-0.879615902E+00-0.878472380E+00 --0.877323144E+00-0.876167781E+00-0.875006718E+00-0.873840168E+00-0.872668571E+00 --0.871491577E+00-0.870309769E+00-0.869124116E+00-0.867934616E+00-0.866741063E+00 --0.865544795E+00-0.864345408E+00-0.863142899E+00-0.861937266E+00-0.860728689E+00 --0.859519163E+00-0.858309230E+00-0.857098882E+00-0.855887541E+00-0.854674315E+00 --0.853461434E+00-0.852249836E+00-0.851039522E+00-0.849830491E+00-0.848622743E+00 --0.847416278E+00-0.846212074E+00-0.845010957E+00-0.843812888E+00-0.842617867E+00 --0.841425869E+00-0.840237492E+00-0.839054749E+00-0.837877387E+00-0.836704398E+00 --0.835536162E+00-0.834374766E+00-0.833219973E+00-0.832071915E+00-0.830930661E+00 --0.829796040E+00-0.828669094E+00-0.827550916E+00-0.826441505E+00-0.825340862E+00 --0.824248382E+00-0.823166153E+00-0.822094169E+00-0.821032345E+00-0.819980680E+00 --0.818939173E+00-0.817909145E+00-0.816891851E+00-0.815886299E+00-0.814892845E+00 --0.813911490E+00-0.812942314E+00-0.811987225E+00-0.811046381E+00-0.810118882E+00 --0.809206006E+00-0.808307921E+00-0.807424627E+00-0.806556124E+00-0.805703679E+00 --0.804867497E+00-0.804047366E+00-0.803243478E+00-0.802457693E+00-0.801688278E+00 --0.800936792E+00-0.800202613E+00-0.799486828E+00-0.798790186E+00-0.798112211E+00 --0.797453425E+00-0.796813803E+00-0.796193613E+00-0.795594119E+00-0.795015322E+00 --0.794457118E+00-0.793920513E+00-0.793405970E+00-0.792913487E+00-0.792443497E+00 --0.791996046E+00-0.791571079E+00-0.791169807E+00-0.790793144E+00-0.790441090E+00 --0.790113339E+00-0.789809522E+00-0.789530921E+00-0.789277958E+00-0.789050634E+00 --0.788848758E+00-0.788672602E+00-0.788522464E+00-0.788398600E+00-0.788300664E+00 --0.788228524E+00-0.788184194E+00-0.788166894E+00-0.788175775E+00-0.788210836E+00 --0.788272668E+00-0.788360543E+00-0.788474223E+00-0.788613660E+00-0.788779666E+00 --0.788972831E+00-0.789191281E+00-0.789434784E+00-0.789703340E+00-0.789996949E+00 --0.790315512E+00-0.790658869E+00-0.791026505E+00-0.791417843E+00-0.791831655E+00 --0.792268951E+00-0.792727687E+00-0.793208470E+00-0.793711305E+00-0.794236193E+00 --0.794782334E+00-0.795347418E+00-0.795932662E+00-0.796536955E+00-0.797160299E+00 --0.797802687E+00-0.798463983E+00-0.799143199E+00-0.799840348E+00-0.800555517E+00 --0.801288707E+00-0.802039916E+00-0.802809145E+00-0.803595275E+00-0.804399005E+00 --0.805219522E+00-0.806056825E+00-0.806910986E+00-0.807782091E+00-0.808670061E+00 --0.809573842E+00-0.810494111E+00-0.811430505E+00-0.812383214E+00-0.813352238E+00 --0.814337344E+00-0.815338060E+00-0.816354386E+00-0.817386360E+00-0.818433994E+00 --0.819497165E+00-0.820575857E+00-0.821670111E+00-0.822779402E+00-0.823904329E+00 --0.825044393E+00-0.826199585E+00-0.827370045E+00-0.828555797E+00-0.829756596E+00 --0.830972415E+00-0.832203255E+00-0.833449108E+00-0.834710032E+00-0.835985984E+00 --0.837276931E+00-0.838582874E+00-0.839903802E+00-0.841239779E+00-0.842590831E+00 --0.843956973E+00-0.845338202E+00-0.846734491E+00-0.848145848E+00-0.849572396E+00 --0.851014077E+00-0.852471007E+00-0.853943285E+00-0.855430912E+00-0.856933887E+00 --0.858452210E+00-0.859986176E+00-0.861535699E+00-0.863100841E+00-0.864681570E+00 --0.866278018E+00-0.867890455E+00-0.869518880E+00-0.871163294E+00-0.872823696E+00 --0.874500496E+00-0.876193576E+00-0.877903262E+00-0.879629401E+00-0.881371992E+00 --0.883131077E+00-0.884907240E+00-0.886700516E+00-0.888510976E+00-0.890338586E+00 --0.892183186E+00-0.894045245E+00-0.895925091E+00-0.897822723E+00-0.899738142E+00 --0.901671568E+00-0.903623327E+00-0.905592853E+00-0.907580964E+00-0.909587724E+00 --0.911613110E+00-0.913656996E+00-0.915719801E+00-0.917802068E+00-0.919903619E+00 --0.922024414E+00-0.924164453E+00-0.926323848E+00-0.928503227E+00-0.930702625E+00 --0.932922040E+00-0.935161775E+00-0.937421824E+00-0.939702306E+00-0.942003220E+00 --0.944324567E+00-0.946666842E+00-0.949030543E+00-0.951415254E+00-0.953820891E+00 --0.956248007E+00-0.958696846E+00-0.961167511E+00-0.963657844E+00-0.966170500E+00 --0.968705982E+00-0.971264166E+00-0.973845055E+00-0.976448646E+00-0.979074941E+00 --0.981723939E+00-0.984395640E+00-0.987090045E+00-0.989807153E+00-0.992546964E+00 --0.917912118E+00-0.917543316E+00-0.917140626E+00-0.916704049E+00-0.916233584E+00 --0.915729232E+00-0.915190992E+00-0.914618864E+00-0.914012849E+00-0.913372946E+00 --0.912699155E+00-0.912018605E+00-0.911326676E+00-0.910616564E+00-0.909888076E+00 --0.909139436E+00-0.908374229E+00-0.907592455E+00-0.906794114E+00-0.905980852E+00 --0.905152422E+00-0.904308143E+00-0.903449447E+00-0.902578968E+00-0.901696705E+00 --0.900802040E+00-0.899893249E+00-0.898971169E+00-0.898038315E+00-0.897094651E+00 --0.896140120E+00-0.895173771E+00-0.894195615E+00-0.893207843E+00-0.892210457E+00 --0.891203455E+00-0.890186397E+00-0.889158556E+00-0.888121470E+00-0.887076187E+00 --0.886020863E+00-0.884957494E+00-0.883886082E+00-0.882806597E+00-0.881718641E+00 --0.880622160E+00-0.879518479E+00-0.878407867E+00-0.877290334E+00-0.876165870E+00 --0.875035393E+00-0.873898036E+00-0.872755189E+00-0.871606850E+00-0.870452679E+00 --0.869293674E+00-0.868129730E+00-0.866961278E+00-0.865788319E+00-0.864610946E+00 --0.863430487E+00-0.862247362E+00-0.861061695E+00-0.859873524E+00-0.858682231E+00 --0.857489531E+00-0.856295595E+00-0.855100210E+00-0.853903477E+00-0.852705385E+00 --0.851506869E+00-0.850309636E+00-0.849113686E+00-0.847919019E+00-0.846725235E+00 --0.845532061E+00-0.844340703E+00-0.843152399E+00-0.841967143E+00-0.840785016E+00 --0.839606428E+00-0.838431522E+00-0.837261088E+00-0.836094976E+00-0.834933186E+00 --0.833775966E+00-0.832625025E+00-0.831480688E+00-0.830342954E+00-0.829211825E+00 --0.828087407E+00-0.826970771E+00-0.825862163E+00-0.824761583E+00-0.823669031E+00 --0.822584598E+00-0.821510002E+00-0.820445735E+00-0.819391796E+00-0.818348186E+00 --0.817314795E+00-0.816291410E+00-0.815280519E+00-0.814281897E+00-0.813295545E+00 --0.812321230E+00-0.811359002E+00-0.810409745E+00-0.809473648E+00-0.808552394E+00 --0.807645510E+00-0.806752999E+00-0.805874859E+00-0.805011585E+00-0.804164819E+00 --0.803333221E+00-0.802517674E+00-0.801718725E+00-0.800937480E+00-0.800172612E+00 --0.799425537E+00-0.798696526E+00-0.797985595E+00-0.797293795E+00-0.796621273E+00 --0.795967930E+00-0.795333775E+00-0.794718698E+00-0.794123715E+00-0.793550793E+00 --0.792999933E+00-0.792471133E+00-0.791964394E+00-0.791479717E+00-0.791017100E+00 --0.790577677E+00-0.790162253E+00-0.789771459E+00-0.789405274E+00-0.789063714E+00 --0.788746816E+00-0.788455123E+00-0.788189670E+00-0.787949965E+00-0.787736006E+00 --0.787547907E+00-0.787386828E+00-0.787252758E+00-0.787145005E+00-0.787063438E+00 --0.787009052E+00-0.786982292E+00-0.786983160E+00-0.787011206E+00-0.787065302E+00 --0.787146248E+00-0.787253976E+00-0.787387698E+00-0.787548526E+00-0.787736637E+00 --0.787952029E+00-0.788193910E+00-0.788460872E+00-0.788752887E+00-0.789070830E+00 --0.789413731E+00-0.789781427E+00-0.790173916E+00-0.790591200E+00-0.791032709E+00 --0.791496737E+00-0.791982785E+00-0.792490969E+00-0.793021290E+00-0.793573747E+00 --0.794147693E+00-0.794742016E+00-0.795355446E+00-0.795988192E+00-0.796640255E+00 --0.797311634E+00-0.798001694E+00-0.798709437E+00-0.799435282E+00-0.800179060E+00 --0.800940724E+00-0.801720274E+00-0.802517582E+00-0.803331688E+00-0.804162707E+00 --0.805010783E+00-0.805875802E+00-0.806757765E+00-0.807656332E+00-0.808571191E+00 --0.809502487E+00-0.810450273E+00-0.811413961E+00-0.812393551E+00-0.813389211E+00 --0.814400669E+00-0.815427872E+00-0.816470852E+00-0.817529459E+00-0.818603212E+00 --0.819692637E+00-0.820797649E+00-0.821918022E+00-0.823053473E+00-0.824204095E+00 --0.825369937E+00-0.826550917E+00-0.827747017E+00-0.828957969E+00-0.830184150E+00 --0.831425360E+00-0.832681599E+00-0.833952743E+00-0.835238682E+00-0.836539766E+00 --0.837855698E+00-0.839186625E+00-0.840532549E+00-0.841893460E+00-0.843269173E+00 --0.844659914E+00-0.846065722E+00-0.847486598E+00-0.848922559E+00-0.850373640E+00 --0.851839779E+00-0.853320977E+00-0.854817430E+00-0.856329233E+00-0.857856383E+00 --0.859398891E+00-0.860956834E+00-0.862530231E+00-0.864119410E+00-0.865723800E+00 --0.867344051E+00-0.868980289E+00-0.870632398E+00-0.872300320E+00-0.873984223E+00 --0.875684404E+00-0.877400846E+00-0.879133739E+00-0.880883104E+00-0.882648930E+00 --0.884431207E+00-0.886230239E+00-0.888046384E+00-0.889879643E+00-0.891729994E+00 --0.893597258E+00-0.895481824E+00-0.897384093E+00-0.899304062E+00-0.901241733E+00 --0.903197172E+00-0.905170652E+00-0.907162398E+00-0.909172162E+00-0.911200424E+00 --0.913247195E+00-0.915312688E+00-0.917396657E+00-0.919499574E+00-0.921621848E+00 --0.923763479E+00-0.925924504E+00-0.928104754E+00-0.930304641E+00-0.932524311E+00 --0.934763766E+00-0.937023649E+00-0.939303144E+00-0.941603071E+00-0.943923650E+00 --0.946264881E+00-0.948626652E+00-0.951009422E+00-0.953413066E+00-0.955837631E+00 --0.958283387E+00-0.960750901E+00-0.963239909E+00-0.965749541E+00-0.968279520E+00 --0.970832250E+00-0.973407729E+00-0.976005958E+00-0.978626936E+00-0.981270665E+00 --0.983937437E+00-0.986627074E+00-0.989339413E+00-0.992074456E+00-0.994832203E+00 --0.914210007E+00-0.913875564E+00-0.913511221E+00-0.913116978E+00-0.912691275E+00 --0.912229764E+00-0.911734365E+00-0.911205079E+00-0.910641905E+00-0.910044843E+00 --0.909413894E+00-0.908773857E+00-0.908121214E+00-0.907445449E+00-0.906749008E+00 --0.906034847E+00-0.905303465E+00-0.904555534E+00-0.903790288E+00-0.903007633E+00 --0.902209131E+00-0.901394781E+00-0.900565305E+00-0.899724034E+00-0.898868754E+00 --0.897999478E+00-0.897116250E+00-0.896219542E+00-0.895311783E+00-0.894392473E+00 --0.893460988E+00-0.892517377E+00-0.891561874E+00-0.890596716E+00-0.889621445E+00 --0.888635496E+00-0.887638871E+00-0.886631692E+00-0.885615256E+00-0.884589380E+00 --0.883554246E+00-0.882510802E+00-0.881458589E+00-0.880397783E+00-0.879328383E+00 --0.878250421E+00-0.877165008E+00-0.876072664E+00-0.874973245E+00-0.873866298E+00 --0.872754178E+00-0.871634225E+00-0.870508212E+00-0.869376138E+00-0.868238004E+00 --0.867095160E+00-0.865948181E+00-0.864796383E+00-0.863639875E+00-0.862478470E+00 --0.861313661E+00-0.860146187E+00-0.858976047E+00-0.857803196E+00-0.856627128E+00 --0.855448364E+00-0.854268786E+00-0.853088008E+00-0.851905883E+00-0.850722409E+00 --0.849538228E+00-0.848355359E+00-0.847172871E+00-0.845990725E+00-0.844809254E+00 --0.843628448E+00-0.842449702E+00-0.841274009E+00-0.840100863E+00-0.838929985E+00 --0.837761561E+00-0.836597263E+00-0.835437440E+00-0.834282093E+00-0.833131220E+00 --0.831984892E+00-0.830844477E+00-0.829709949E+00-0.828581310E+00-0.827458559E+00 --0.826342469E+00-0.825234323E+00-0.824133983E+00-0.823041671E+00-0.821957387E+00 --0.820880542E+00-0.819813583E+00-0.818756962E+00-0.817710132E+00-0.816672620E+00 --0.815644426E+00-0.814626877E+00-0.813621594E+00-0.812628582E+00-0.811647839E+00 --0.810679441E+00-0.809723189E+00-0.808778875E+00-0.807847531E+00-0.806930712E+00 --0.806028422E+00-0.805140663E+00-0.804267327E+00-0.803408843E+00-0.802565714E+00 --0.801738434E+00-0.800927472E+00-0.800132345E+00-0.799354367E+00-0.798593752E+00 --0.797850999E+00-0.797125902E+00-0.796418591E+00-0.795730594E+00-0.795061911E+00 --0.794412474E+00-0.793783337E+00-0.793174503E+00-0.792585892E+00-0.792019197E+00 --0.791474687E+00-0.790952362E+00-0.790452223E+00-0.789974269E+00-0.789520114E+00 --0.789089761E+00-0.788684534E+00-0.788304525E+00-0.787949180E+00-0.787618499E+00 --0.787312749E+00-0.787033508E+00-0.786781025E+00-0.786554981E+00-0.786354701E+00 --0.786181219E+00-0.786035071E+00-0.785916248E+00-0.785824716E+00-0.785760325E+00 --0.785723692E+00-0.785714686E+00-0.785733307E+00-0.785779555E+00-0.785853430E+00 --0.785953709E+00-0.786081963E+00-0.786237615E+00-0.786420548E+00-0.786630762E+00 --0.786868259E+00-0.787133037E+00-0.787423514E+00-0.787740568E+00-0.788083014E+00 --0.788450351E+00-0.788843271E+00-0.789261880E+00-0.789704598E+00-0.790171957E+00 --0.790664198E+00-0.791178595E+00-0.791715128E+00-0.792273798E+00-0.792854367E+00 --0.793456482E+00-0.794080276E+00-0.794723688E+00-0.795386049E+00-0.796067359E+00 --0.796767839E+00-0.797487371E+00-0.798224743E+00-0.798979903E+00-0.799752852E+00 --0.800543137E+00-0.801351322E+00-0.802177226E+00-0.803019952E+00-0.803879500E+00 --0.804755870E+00-0.805649027E+00-0.806559007E+00-0.807485410E+00-0.808428238E+00 --0.809387488E+00-0.810362739E+00-0.811353757E+00-0.812360714E+00-0.813383413E+00 --0.814421901E+00-0.815476181E+00-0.816546235E+00-0.817631682E+00-0.818732270E+00 --0.819848054E+00-0.820979440E+00-0.822126065E+00-0.823287773E+00-0.824464564E+00 --0.825656237E+00-0.826863132E+00-0.828085036E+00-0.829321916E+00-0.830573636E+00 --0.831840336E+00-0.833122029E+00-0.834418495E+00-0.835729720E+00-0.837056019E+00 --0.838397120E+00-0.839753063E+00-0.841123984E+00-0.842509717E+00-0.843910295E+00 --0.845325717E+00-0.846756112E+00-0.848201565E+00-0.849661944E+00-0.851137381E+00 --0.852627877E+00-0.854133431E+00-0.855654044E+00-0.857189845E+00-0.858741117E+00 --0.860307503E+00-0.861889342E+00-0.863486528E+00-0.865099281E+00-0.866727569E+00 --0.868371514E+00-0.870031272E+00-0.871706844E+00-0.873398274E+00-0.875105647E+00 --0.876828927E+00-0.878568356E+00-0.880324236E+00-0.882096568E+00-0.883885328E+00 --0.885690336E+00-0.887512362E+00-0.889351230E+00-0.891207002E+00-0.893079719E+00 --0.894969380E+00-0.896876042E+00-0.898800294E+00-0.900742248E+00-0.902701952E+00 --0.904679286E+00-0.906674119E+00-0.908687017E+00-0.910718339E+00-0.912768087E+00 --0.914836257E+00-0.916922818E+00-0.919027782E+00-0.921151363E+00-0.923294300E+00 --0.925456491E+00-0.927637777E+00-0.929838202E+00-0.932058059E+00-0.934297757E+00 --0.936557250E+00-0.938836509E+00-0.941135525E+00-0.943454573E+00-0.945794264E+00 --0.948154607E+00-0.950535574E+00-0.952936812E+00-0.955358960E+00-0.957802240E+00 --0.960266653E+00-0.962752367E+00-0.965259335E+00-0.967787565E+00-0.970335793E+00 --0.972905872E+00-0.975498702E+00-0.978114281E+00-0.980752609E+00-0.983413688E+00 --0.986097516E+00-0.988804094E+00-0.991533422E+00-0.994285500E+00-0.997060327E+00 --0.910625080E+00-0.910317254E+00-0.909979528E+00-0.909611901E+00-0.909214374E+00 --0.908786946E+00-0.908329618E+00-0.907842389E+00-0.907325260E+00-0.906778230E+00 --0.906195705E+00-0.905591825E+00-0.904969612E+00-0.904326253E+00-0.903661677E+00 --0.902978601E+00-0.902278276E+00-0.901560693E+00-0.900823558E+00-0.900069470E+00 --0.899299535E+00-0.898513752E+00-0.897712918E+00-0.896898403E+00-0.896067516E+00 --0.895223054E+00-0.894365054E+00-0.893493422E+00-0.892609262E+00-0.891712894E+00 --0.890804057E+00-0.889882751E+00-0.888949694E+00-0.888005792E+00-0.887051059E+00 --0.886085650E+00-0.885109564E+00-0.884122207E+00-0.883125171E+00-0.882118488E+00 --0.881102473E+00-0.880077216E+00-0.879042685E+00-0.877999724E+00-0.876948333E+00 --0.875888995E+00-0.874822073E+00-0.873746980E+00-0.872664345E+00-0.871574187E+00 --0.870477988E+00-0.869374913E+00-0.868265032E+00-0.867149033E+00-0.866026974E+00 --0.864899167E+00-0.863766940E+00-0.862630403E+00-0.861489554E+00-0.860343785E+00 --0.859194452E+00-0.858041907E+00-0.856886150E+00-0.855727180E+00-0.854564998E+00 --0.853399623E+00-0.852232634E+00-0.851064723E+00-0.849895890E+00-0.848726135E+00 --0.847555239E+00-0.846385030E+00-0.845214251E+00-0.844044021E+00-0.842874340E+00 --0.841705452E+00-0.840538653E+00-0.839373896E+00-0.838211318E+00-0.837051010E+00 --0.835893024E+00-0.834738859E+00-0.833589170E+00-0.832443433E+00-0.831301314E+00 --0.830163833E+00-0.829032005E+00-0.827905834E+00-0.826785626E+00-0.825671306E+00 --0.824562873E+00-0.823462006E+00-0.822368930E+00-0.821283643E+00-0.820205949E+00 --0.819136700E+00-0.818076673E+00-0.817025963E+00-0.815984571E+00-0.814952497E+00 --0.813929523E+00-0.812917579E+00-0.811917906E+00-0.810929905E+00-0.809953758E+00 --0.808989549E+00-0.808037279E+00-0.807096947E+00-0.806168664E+00-0.805255709E+00 --0.804357289E+00-0.803473130E+00-0.802602934E+00-0.801747307E+00-0.800907682E+00 --0.800083276E+00-0.799276395E+00-0.798484339E+00-0.797709627E+00-0.796952257E+00 --0.796213221E+00-0.795490823E+00-0.794786252E+00-0.794101244E+00-0.793436537E+00 --0.792792132E+00-0.792168030E+00-0.791564230E+00-0.790980732E+00-0.790419584E+00 --0.789881111E+00-0.789365100E+00-0.788872552E+00-0.788403560E+00-0.787958124E+00 --0.787536802E+00-0.787141041E+00-0.786770904E+00-0.786426379E+00-0.786106668E+00 --0.785813206E+00-0.785546501E+00-0.785306555E+00-0.785093380E+00-0.784907295E+00 --0.784748919E+00-0.784618082E+00-0.784514782E+00-0.784438972E+00-0.784391556E+00 --0.784373141E+00-0.784382602E+00-0.784419642E+00-0.784484260E+00-0.784576461E+00 --0.784697124E+00-0.784846112E+00-0.785024128E+00-0.785229866E+00-0.785462763E+00 --0.785722820E+00-0.786010037E+00-0.786324613E+00-0.786665940E+00-0.787033474E+00 --0.787427139E+00-0.787846521E+00-0.788291092E+00-0.788760601E+00-0.789255070E+00 --0.789774492E+00-0.790317237E+00-0.790882119E+00-0.791469388E+00-0.792078881E+00 --0.792710174E+00-0.793363269E+00-0.794036803E+00-0.794729245E+00-0.795440635E+00 --0.796170782E+00-0.796919857E+00-0.797687304E+00-0.798472449E+00-0.799275300E+00 --0.800095858E+00-0.800933503E+00-0.801788214E+00-0.802659878E+00-0.803548487E+00 --0.804454042E+00-0.805376545E+00-0.806315511E+00-0.807270437E+00-0.808241323E+00 --0.809228420E+00-0.810231697E+00-0.811250628E+00-0.812285498E+00-0.813336014E+00 --0.814402121E+00-0.815483479E+00-0.816580707E+00-0.817693144E+00-0.818820722E+00 --0.819963442E+00-0.821121326E+00-0.822294344E+00-0.823482519E+00-0.824685851E+00 --0.825904098E+00-0.827137122E+00-0.828384943E+00-0.829647769E+00-0.830925290E+00 --0.832217699E+00-0.833524976E+00-0.834846989E+00-0.836183736E+00-0.837535176E+00 --0.838901398E+00-0.840282421E+00-0.841678154E+00-0.843088691E+00-0.844514072E+00 --0.845954296E+00-0.847409362E+00-0.848879320E+00-0.850364020E+00-0.851863762E+00 --0.853378546E+00-0.854908372E+00-0.856453240E+00-0.858013168E+00-0.859588288E+00 --0.861178523E+00-0.862784094E+00-0.864405001E+00-0.866041414E+00-0.867693339E+00 --0.869360789E+00-0.871044010E+00-0.872742813E+00-0.874457373E+00-0.876187851E+00 --0.877934177E+00-0.879696726E+00-0.881475421E+00-0.883270406E+00-0.885081683E+00 --0.886909194E+00-0.888753413E+00-0.890614544E+00-0.892492586E+00-0.894387539E+00 --0.896299404E+00-0.898228180E+00-0.900174198E+00-0.902137991E+00-0.904119243E+00 --0.906117994E+00-0.908134245E+00-0.910168304E+00-0.912220779E+00-0.914291321E+00 --0.916380121E+00-0.918487197E+00-0.920613093E+00-0.922757422E+00-0.924920537E+00 --0.927102711E+00-0.929304024E+00-0.931524476E+00-0.933764066E+00-0.936023142E+00 --0.938301992E+00-0.940600599E+00-0.942918963E+00-0.945257160E+00-0.947615963E+00 --0.949995130E+00-0.952394491E+00-0.954814103E+00-0.957254400E+00-0.959715832E+00 --0.962198233E+00-0.964701680E+00-0.967226336E+00-0.969772200E+00-0.972339291E+00 --0.974926721E+00-0.977536900E+00-0.980169824E+00-0.982825423E+00-0.985503677E+00 --0.988204588E+00-0.990928154E+00-0.993674376E+00-0.996443254E+00-0.999234787E+00 --0.907160370E+00-0.906879161E+00-0.906568052E+00-0.906227042E+00-0.905856131E+00 --0.905455320E+00-0.905024609E+00-0.904563997E+00-0.904074513E+00-0.903563137E+00 --0.903024388E+00-0.902457812E+00-0.901869325E+00-0.901258986E+00-0.900626276E+00 --0.899974720E+00-0.899304351E+00-0.898613997E+00-0.897903657E+00-0.897175608E+00 --0.896431786E+00-0.895672116E+00-0.894897063E+00-0.894106633E+00-0.893300788E+00 --0.892479682E+00-0.891644923E+00-0.890796718E+00-0.889935405E+00-0.889060653E+00 --0.888172917E+00-0.887272712E+00-0.886359933E+00-0.885435850E+00-0.884501003E+00 --0.883555392E+00-0.882598732E+00-0.881631162E+00-0.880653189E+00-0.879664812E+00 --0.878667127E+00-0.877659507E+00-0.876642076E+00-0.875616205E+00-0.874581903E+00 --0.873538965E+00-0.872488223E+00-0.871429679E+00-0.870363563E+00-0.869290001E+00 --0.868208914E+00-0.867120952E+00-0.866026115E+00-0.864925574E+00-0.863819589E+00 --0.862706873E+00-0.861589399E+00-0.860467542E+00-0.859340677E+00-0.858208619E+00 --0.857071758E+00-0.855932005E+00-0.854789359E+00-0.853643821E+00-0.852495391E+00 --0.851344068E+00-0.850189589E+00-0.849034100E+00-0.847876931E+00-0.846718114E+00 --0.845558969E+00-0.844399885E+00-0.843240733E+00-0.842081479E+00-0.840922667E+00 --0.839764144E+00-0.838607066E+00-0.837452193E+00-0.836299526E+00-0.835149064E+00 --0.834000826E+00-0.832856127E+00-0.831715050E+00-0.830577599E+00-0.829443771E+00 --0.828314006E+00-0.827189858E+00-0.826071328E+00-0.824958312E+00-0.823850514E+00 --0.822749982E+00-0.821655930E+00-0.820568949E+00-0.819489039E+00-0.818416197E+00 --0.817351610E+00-0.816296495E+00-0.815250854E+00-0.814214693E+00-0.813188057E+00 --0.812169455E+00-0.811161473E+00-0.810165430E+00-0.809181634E+00-0.808209587E+00 --0.807249145E+00-0.806300307E+00-0.805363072E+00-0.804437578E+00-0.803527885E+00 --0.802632095E+00-0.801750207E+00-0.800882283E+00-0.800028652E+00-0.799190985E+00 --0.798369515E+00-0.797563794E+00-0.796774512E+00-0.796002370E+00-0.795247366E+00 --0.794509621E+00-0.793788941E+00-0.793087866E+00-0.792407082E+00-0.791746591E+00 --0.791106392E+00-0.790486485E+00-0.789886870E+00-0.789308412E+00-0.788752529E+00 --0.788220584E+00-0.787712473E+00-0.787228195E+00-0.786767721E+00-0.786330857E+00 --0.785918724E+00-0.785532365E+00-0.785171996E+00-0.784837616E+00-0.784529594E+00 --0.784249153E+00-0.783995521E+00-0.783768724E+00-0.783568787E+00-0.783396980E+00 --0.783253936E+00-0.783139034E+00-0.783051667E+00-0.782992410E+00-0.782962163E+00 --0.782960938E+00-0.782988691E+00-0.783044363E+00-0.783127881E+00-0.783240427E+00 --0.783382141E+00-0.783552800E+00-0.783751919E+00-0.783979609E+00-0.784235622E+00 --0.784518904E+00-0.784829344E+00-0.785168174E+00-0.785533709E+00-0.785925489E+00 --0.786344442E+00-0.786790729E+00-0.787262536E+00-0.787759289E+00-0.788280989E+00 --0.788827575E+00-0.789398711E+00-0.789992757E+00-0.790609628E+00-0.791248299E+00 --0.791908807E+00-0.792591423E+00-0.793295563E+00-0.794018761E+00-0.794760796E+00 --0.795521760E+00-0.796301655E+00-0.797100480E+00-0.797916166E+00-0.798749503E+00 --0.799600689E+00-0.800468820E+00-0.801353493E+00-0.802254707E+00-0.803172660E+00 --0.804107593E+00-0.805059472E+00-0.806027380E+00-0.807011211E+00-0.808011002E+00 --0.809026681E+00-0.810058008E+00-0.811105210E+00-0.812168228E+00-0.813246766E+00 --0.814340823E+00-0.815450107E+00-0.816574509E+00-0.817714180E+00-0.818869121E+00 --0.820039328E+00-0.821224482E+00-0.822424366E+00-0.823639282E+00-0.824869123E+00 --0.826113708E+00-0.827373069E+00-0.828647150E+00-0.829935963E+00-0.831239637E+00 --0.832557901E+00-0.833890682E+00-0.835238225E+00-0.836600518E+00-0.837977332E+00 --0.839368754E+00-0.840775036E+00-0.842195863E+00-0.843631245E+00-0.845081390E+00 --0.846546378E+00-0.848026213E+00-0.849520764E+00-0.851029975E+00-0.852553908E+00 --0.854092854E+00-0.855646842E+00-0.857215876E+00-0.858799890E+00-0.860398819E+00 --0.862012729E+00-0.863642023E+00-0.865286559E+00-0.866946326E+00-0.868621588E+00 --0.870312273E+00-0.872018554E+00-0.873740498E+00-0.875478072E+00-0.877231400E+00 --0.879000481E+00-0.880785598E+00-0.882586965E+00-0.884404569E+00-0.886238430E+00 --0.888087958E+00-0.889954372E+00-0.891837786E+00-0.893737959E+00-0.895654864E+00 --0.897588500E+00-0.899538868E+00-0.901506001E+00-0.903490879E+00-0.905493314E+00 --0.907513305E+00-0.909550964E+00-0.911606261E+00-0.913679182E+00-0.915770344E+00 --0.917879773E+00-0.920007330E+00-0.922152975E+00-0.924317504E+00-0.926500472E+00 --0.928702457E+00-0.930923460E+00-0.933163481E+00-0.935422744E+00-0.937701085E+00 --0.939998762E+00-0.942316320E+00-0.944653764E+00-0.947011092E+00-0.949388238E+00 --0.951785705E+00-0.954203424E+00-0.956641393E+00-0.959099788E+00-0.961579206E+00 --0.964079130E+00-0.966600262E+00-0.969142531E+00-0.971705695E+00-0.974290824E+00 --0.976896411E+00-0.979523039E+00-0.982172322E+00-0.984844261E+00-0.987538856E+00 --0.990256107E+00-0.992996013E+00-0.995758576E+00-0.998543794E+00-0.100135103E+01 --0.903815879E+00-0.903561286E+00-0.903276794E+00-0.902962400E+00-0.902618106E+00 --0.902243912E+00-0.901836852E+00-0.901401628E+00-0.900939029E+00-0.900449057E+00 --0.899931711E+00-0.899391412E+00-0.898830765E+00-0.898249192E+00-0.897645120E+00 --0.897019840E+00-0.896375848E+00-0.895712059E+00-0.895028284E+00-0.894325158E+00 --0.893607450E+00-0.892871970E+00-0.892119515E+00-0.891351645E+00-0.890568360E+00 --0.889769660E+00-0.888956785E+00-0.888130666E+00-0.887289699E+00-0.886435553E+00 --0.885568230E+00-0.884688281E+00-0.883796418E+00-0.882892054E+00-0.881976123E+00 --0.881048746E+00-0.880110059E+00-0.879160061E+00-0.878199589E+00-0.877229386E+00 --0.876248616E+00-0.875257695E+00-0.874257042E+00-0.873248261E+00-0.872229685E+00 --0.871202460E+00-0.870167431E+00-0.869124602E+00-0.868073501E+00-0.867013801E+00 --0.865947106E+00-0.864874114E+00-0.863794471E+00-0.862707872E+00-0.861615850E+00 --0.860518279E+00-0.859414570E+00-0.858305645E+00-0.857191618E+00-0.856072491E+00 --0.854948386E+00-0.853820920E+00-0.852690561E+00-0.851557311E+00-0.850421069E+00 --0.849281659E+00-0.848139082E+00-0.846994265E+00-0.845848468E+00-0.844700538E+00 --0.843551474E+00-0.842402343E+00-0.841253146E+00-0.840103882E+00-0.838954551E+00 --0.837805977E+00-0.836658797E+00-0.835513178E+00-0.834368985E+00-0.833226217E+00 --0.832085372E+00-0.830948151E+00-0.829814679E+00-0.828685017E+00-0.827559161E+00 --0.826436806E+00-0.825319076E+00-0.824206590E+00-0.823099483E+00-0.821998433E+00 --0.820902759E+00-0.819814146E+00-0.818732325E+00-0.817657525E+00-0.816589770E+00 --0.815529315E+00-0.814478334E+00-0.813436826E+00-0.812404675E+00-0.811381292E+00 --0.810366204E+00-0.809361635E+00-0.808368681E+00-0.807387283E+00-0.806417354E+00 --0.805459029E+00-0.804512309E+00-0.803577192E+00-0.802654688E+00-0.801746264E+00 --0.800851836E+00-0.799971403E+00-0.799105332E+00-0.798253779E+00-0.797417467E+00 --0.796596551E+00-0.795792029E+00-0.795004039E+00-0.794233197E+00-0.793479493E+00 --0.792743299E+00-0.792026395E+00-0.791328675E+00-0.790651003E+00-0.789993624E+00 --0.789356718E+00-0.788741052E+00-0.788146710E+00-0.787573975E+00-0.787024914E+00 --0.786499928E+00-0.785998830E+00-0.785521560E+00-0.785068038E+00-0.784639372E+00 --0.784237512E+00-0.783862248E+00-0.783512974E+00-0.783189689E+00-0.782893045E+00 --0.782624405E+00-0.782383754E+00-0.782170186E+00-0.781984118E+00-0.781826808E+00 --0.781698260E+00-0.781598473E+00-0.781527400E+00-0.781485405E+00-0.781472393E+00 --0.781488364E+00-0.781533388E+00-0.781608433E+00-0.781712679E+00-0.781846307E+00 --0.782009071E+00-0.782201013E+00-0.782421863E+00-0.782671283E+00-0.782949273E+00 --0.783255833E+00-0.783590080E+00-0.783953477E+00-0.784343851E+00-0.784761601E+00 --0.785206726E+00-0.785679243E+00-0.786177979E+00-0.786701662E+00-0.787250403E+00 --0.787824590E+00-0.788423883E+00-0.789047635E+00-0.789694228E+00-0.790363224E+00 --0.791054355E+00-0.791767621E+00-0.792502950E+00-0.793257330E+00-0.794030571E+00 --0.794822673E+00-0.795633636E+00-0.796463356E+00-0.797311683E+00-0.798175775E+00 --0.799057874E+00-0.799956514E+00-0.800871696E+00-0.801803419E+00-0.802751683E+00 --0.803716488E+00-0.804697850E+00-0.805694994E+00-0.806708545E+00-0.807737724E+00 --0.808782532E+00-0.809842969E+00-0.810919034E+00-0.812010545E+00-0.813117394E+00 --0.814239788E+00-0.815377303E+00-0.816529606E+00-0.817696855E+00-0.818879367E+00 --0.820077081E+00-0.821289397E+00-0.822516457E+00-0.823758269E+00-0.825014598E+00 --0.826285659E+00-0.827571479E+00-0.828872060E+00-0.830187311E+00-0.831517062E+00 --0.832861330E+00-0.834220116E+00-0.835593400E+00-0.836981041E+00-0.838383052E+00 --0.839800075E+00-0.841231524E+00-0.842677489E+00-0.844137999E+00-0.845613022E+00 --0.847102764E+00-0.848607112E+00-0.850126121E+00-0.851659791E+00-0.853208120E+00 --0.854771139E+00-0.856349215E+00-0.857942121E+00-0.859549942E+00-0.861172679E+00 --0.862810330E+00-0.864463131E+00-0.866130916E+00-0.867814177E+00-0.869512694E+00 --0.871226396E+00-0.872955602E+00-0.874700520E+00-0.876460949E+00-0.878237034E+00 --0.880028873E+00-0.881836400E+00-0.883660093E+00-0.885500028E+00-0.887355987E+00 --0.889227833E+00-0.891116229E+00-0.893021285E+00-0.894942925E+00-0.896881295E+00 --0.898836396E+00-0.900808229E+00-0.902796806E+00-0.904802663E+00-0.906826078E+00 --0.908867019E+00-0.910925145E+00-0.913001016E+00-0.915094661E+00-0.917206028E+00 --0.919335482E+00-0.921483023E+00-0.923648804E+00-0.925833145E+00-0.928035867E+00 --0.930257363E+00-0.932497806E+00-0.934757046E+00-0.937035304E+00-0.939332579E+00 --0.941649051E+00-0.943985370E+00-0.946341324E+00-0.948716804E+00-0.951111877E+00 --0.953527184E+00-0.955962859E+00-0.958418904E+00-0.960895285E+00-0.963392142E+00 --0.965909792E+00-0.968448327E+00-0.971007746E+00-0.973588388E+00-0.976190411E+00 --0.978813650E+00-0.981456880E+00-0.984122504E+00-0.986810783E+00-0.989521719E+00 --0.992255310E+00-0.995011342E+00-0.997789419E+00-0.100058970E+01-0.100341218E+01 --0.900591604E+00-0.900363629E+00-0.900105753E+00-0.899809418E+00-0.899477719E+00 --0.899118646E+00-0.898732200E+00-0.898318379E+00-0.897877185E+00-0.897408616E+00 --0.896912674E+00-0.896398650E+00-0.895863309E+00-0.895303938E+00-0.894721491E+00 --0.894118362E+00-0.893496693E+00-0.892856485E+00-0.892197736E+00-0.891520449E+00 --0.890824647E+00-0.890110167E+00-0.889380306E+00-0.888634982E+00-0.887873748E+00 --0.887096606E+00-0.886303554E+00-0.885497717E+00-0.884676753E+00-0.883842013E+00 --0.882994059E+00-0.882132891E+00-0.881258725E+00-0.880372913E+00-0.879474219E+00 --0.878564197E+00-0.877642847E+00-0.876710169E+00-0.875766251E+00-0.874812044E+00 --0.873847170E+00-0.872872719E+00-0.871888346E+00-0.870894700E+00-0.869891458E+00 --0.868880171E+00-0.867860223E+00-0.866831614E+00-0.865794345E+00-0.864748416E+00 --0.863694915E+00-0.862635141E+00-0.861569070E+00-0.860496703E+00-0.859417894E+00 --0.858332426E+00-0.857240617E+00-0.856143914E+00-0.855042315E+00-0.853935822E+00 --0.852824433E+00-0.851708529E+00-0.850589378E+00-0.849467060E+00-0.848341574E+00 --0.847212919E+00-0.846081096E+00-0.844946105E+00-0.843810906E+00-0.842671863E+00 --0.841532753E+00-0.840393413E+00-0.839253160E+00-0.838111927E+00-0.836971088E+00 --0.835830828E+00-0.834692111E+00-0.833554503E+00-0.832417938E+00-0.831282799E+00 --0.830149290E+00-0.829019253E+00-0.827892331E+00-0.826768922E+00-0.825649026E+00 --0.824532643E+00-0.823419772E+00-0.822313207E+00-0.821211578E+00-0.820114842E+00 --0.819023087E+00-0.817937934E+00-0.816859983E+00-0.815789327E+00-0.814726666E+00 --0.813670345E+00-0.812623011E+00-0.811584279E+00-0.810554233E+00-0.809532874E+00 --0.808520202E+00-0.807517050E+00-0.806525443E+00-0.805545449E+00-0.804577070E+00 --0.803620305E+00-0.802675154E+00-0.801741388E+00-0.800820325E+00-0.799912730E+00 --0.799018991E+00-0.798139106E+00-0.797273077E+00-0.796420845E+00-0.795584524E+00 --0.794764861E+00-0.793961585E+00-0.793174703E+00-0.792404733E+00-0.791652331E+00 --0.790917822E+00-0.790202791E+00-0.789507220E+00-0.788831991E+00-0.788178233E+00 --0.787545988E+00-0.786935237E+00-0.786345750E+00-0.785779483E+00-0.785237290E+00 --0.784719172E+00-0.784225113E+00-0.783754796E+00-0.783309381E+00-0.782890762E+00 --0.782498939E+00-0.782133912E+00-0.781795629E+00-0.781483440E+00-0.781198240E+00 --0.780941138E+00-0.780711791E+00-0.780510912E+00-0.780339416E+00-0.780197534E+00 --0.780084770E+00-0.780001008E+00-0.779946315E+00-0.779921575E+00-0.779925819E+00 --0.779959280E+00-0.780023160E+00-0.780117398E+00-0.780241225E+00-0.780394726E+00 --0.780577899E+00-0.780790806E+00-0.781033326E+00-0.781305173E+00-0.781606106E+00 --0.781936124E+00-0.782295276E+00-0.782683481E+00-0.783099204E+00-0.783542444E+00 --0.784013201E+00-0.784512120E+00-0.785038376E+00-0.785590120E+00-0.786167324E+00 --0.786769828E+00-0.787397699E+00-0.788050901E+00-0.788727243E+00-0.789426223E+00 --0.790147841E+00-0.790892400E+00-0.791659074E+00-0.792444606E+00-0.793249034E+00 --0.794072634E+00-0.794915406E+00-0.795777349E+00-0.796657384E+00-0.797553873E+00 --0.798466983E+00-0.799396724E+00-0.800343097E+00-0.801306102E+00-0.802285738E+00 --0.803281968E+00-0.804293174E+00-0.805320220E+00-0.806363818E+00-0.807422754E+00 --0.808497027E+00-0.809586637E+00-0.810691703E+00-0.811812506E+00-0.812948347E+00 --0.814099358E+00-0.815265204E+00-0.816445836E+00-0.817641256E+00-0.818851475E+00 --0.820076701E+00-0.821316198E+00-0.822570873E+00-0.823839966E+00-0.825123478E+00 --0.826421409E+00-0.827733776E+00-0.829060706E+00-0.830402187E+00-0.831758197E+00 --0.833128562E+00-0.834513282E+00-0.835912357E+00-0.837325787E+00-0.838753572E+00 --0.840195747E+00-0.841652383E+00-0.843123459E+00-0.844608973E+00-0.846108926E+00 --0.847623262E+00-0.849152137E+00-0.850695601E+00-0.852253655E+00-0.853826297E+00 --0.855413580E+00-0.857015774E+00-0.858632360E+00-0.860263781E+00-0.861910138E+00 --0.863571430E+00-0.865247726E+00-0.866939201E+00-0.868645622E+00-0.870367227E+00 --0.872104018E+00-0.873856013E+00-0.875623473E+00-0.877406445E+00-0.879204928E+00 --0.881019354E+00-0.882849358E+00-0.884695373E+00-0.886557297E+00-0.888435067E+00 --0.890328671E+00-0.892238407E+00-0.894164803E+00-0.896107860E+00-0.898067576E+00 --0.900043953E+00-0.902036991E+00-0.904046776E+00-0.906073668E+00-0.908117761E+00 --0.910179054E+00-0.912257548E+00-0.914353587E+00-0.916467310E+00-0.918598690E+00 --0.920748128E+00-0.922915655E+00-0.925100963E+00-0.927304635E+00-0.929526729E+00 --0.931767247E+00-0.934026435E+00-0.936304542E+00-0.938601571E+00-0.940917520E+00 --0.943252722E+00-0.945607321E+00-0.947981375E+00-0.950374982E+00-0.952788009E+00 --0.955221129E+00-0.957674475E+00-0.960147755E+00-0.962641433E+00-0.965155442E+00 --0.967689991E+00-0.970245596E+00-0.972822008E+00-0.975419366E+00-0.978037940E+00 --0.980677731E+00-0.983338406E+00-0.986020370E+00-0.988725009E+00-0.991452074E+00 --0.994201342E+00-0.996972811E+00-0.999766482E+00-0.100258236E+01-0.100542626E+01 --0.897480837E+00-0.897252663E+00-0.896997115E+00-0.896714194E+00-0.896403898E+00 --0.896066229E+00-0.895701186E+00-0.895308769E+00-0.894888979E+00-0.894441517E+00 --0.893965469E+00-0.893470399E+00-0.892954668E+00-0.892416559E+00-0.891855737E+00 --0.891274759E+00-0.890675240E+00-0.890057182E+00-0.889419780E+00-0.888762393E+00 --0.888085852E+00-0.887393582E+00-0.886684072E+00-0.885958056E+00-0.885216130E+00 --0.884458605E+00-0.883685789E+00-0.882897121E+00-0.882094866E+00-0.881278866E+00 --0.880448641E+00-0.879605202E+00-0.878748409E+00-0.877879040E+00-0.876997645E+00 --0.876104236E+00-0.875199269E+00-0.874282963E+00-0.873355239E+00-0.872416091E+00 --0.871465988E+00-0.870506238E+00-0.869537072E+00-0.868558331E+00-0.867568589E+00 --0.866570449E+00-0.865564057E+00-0.864549275E+00-0.863525838E+00-0.862493741E+00 --0.861453493E+00-0.860406937E+00-0.859353334E+00-0.858292845E+00-0.857225797E+00 --0.856152187E+00-0.855072017E+00-0.853986370E+00-0.852896097E+00-0.851801031E+00 --0.850700776E+00-0.849595200E+00-0.848485107E+00-0.847372074E+00-0.846256100E+00 --0.845137184E+00-0.844015328E+00-0.842890566E+00-0.841763820E+00-0.840634529E+00 --0.839504178E+00-0.838372848E+00-0.837240538E+00-0.836108065E+00-0.834974389E+00 --0.833840329E+00-0.832707745E+00-0.831576683E+00-0.830447145E+00-0.829318894E+00 --0.828191174E+00-0.827066652E+00-0.825945328E+00-0.824827202E+00-0.823712275E+00 --0.822600546E+00-0.821492965E+00-0.820389762E+00-0.819292128E+00-0.818199743E+00 --0.817112200E+00-0.816030508E+00-0.814956018E+00-0.813888063E+00-0.812826999E+00 --0.811773067E+00-0.810726944E+00-0.809689808E+00-0.808661657E+00-0.807642323E+00 --0.806631675E+00-0.805629982E+00-0.804639723E+00-0.803660758E+00-0.802692711E+00 --0.801735585E+00-0.800789381E+00-0.799855057E+00-0.798934246E+00-0.798026785E+00 --0.797132358E+00-0.796251785E+00-0.795385068E+00-0.794531987E+00-0.793695086E+00 --0.792875259E+00-0.792072506E+00-0.791286828E+00-0.790517674E+00-0.789765878E+00 --0.789033184E+00-0.788320503E+00-0.787628301E+00-0.786956614E+00-0.786306213E+00 --0.785677325E+00-0.785069995E+00-0.784486443E+00-0.783926793E+00-0.783391162E+00 --0.782879627E+00-0.782392189E+00-0.781929830E+00-0.781494113E+00-0.781085310E+00 --0.780703422E+00-0.780348433E+00-0.780020249E+00-0.779718868E+00-0.779445138E+00 --0.779200210E+00-0.778984663E+00-0.778798498E+00-0.778641713E+00-0.778514489E+00 --0.778416933E+00-0.778349045E+00-0.778310572E+00-0.778302291E+00-0.778323949E+00 --0.778376193E+00-0.778459024E+00-0.778572456E+00-0.778715864E+00-0.778889115E+00 --0.779092939E+00-0.779327385E+00-0.779591928E+00-0.779886488E+00-0.780211143E+00 --0.780565261E+00-0.780948465E+00-0.781361442E+00-0.781802125E+00-0.782270775E+00 --0.782767739E+00-0.783293003E+00-0.783846568E+00-0.784426808E+00-0.785032514E+00 --0.785663803E+00-0.786320679E+00-0.787003114E+00-0.787709268E+00-0.788438102E+00 --0.789190235E+00-0.789965782E+00-0.790762899E+00-0.791580489E+00-0.792418087E+00 --0.793274856E+00-0.794150857E+00-0.795044896E+00-0.795956271E+00-0.796884982E+00 --0.797831028E+00-0.798792689E+00-0.799770803E+00-0.800765548E+00-0.801776786E+00 --0.802803669E+00-0.803846102E+00-0.804904086E+00-0.805977656E+00-0.807066660E+00 --0.808171001E+00-0.809290679E+00-0.810425633E+00-0.811575336E+00-0.812739867E+00 --0.813919508E+00-0.815114023E+00-0.816323227E+00-0.817547120E+00-0.818785701E+00 --0.820038536E+00-0.821305971E+00-0.822587896E+00-0.823884275E+00-0.825195109E+00 --0.826520398E+00-0.827859962E+00-0.829213403E+00-0.830581885E+00-0.831963981E+00 --0.833360275E+00-0.834770890E+00-0.836195825E+00-0.837635083E+00-0.839088661E+00 --0.840556560E+00-0.842038452E+00-0.843534620E+00-0.845045113E+00-0.846569937E+00 --0.848109243E+00-0.849662727E+00-0.851230482E+00-0.852812827E+00-0.854409761E+00 --0.856021299E+00-0.857647305E+00-0.859287749E+00-0.860942704E+00-0.862612566E+00 --0.864297363E+00-0.865996979E+00-0.867711458E+00-0.869440872E+00-0.871185261E+00 --0.872945141E+00-0.874719790E+00-0.876509791E+00-0.878315304E+00-0.880136263E+00 --0.881972495E+00-0.883824436E+00-0.885692315E+00-0.887576055E+00-0.889475637E+00 --0.891391064E+00-0.893322346E+00-0.895270082E+00-0.897234431E+00-0.899215203E+00 --0.901212385E+00-0.903225975E+00-0.905256292E+00-0.907303701E+00-0.909368128E+00 --0.911449771E+00-0.913548589E+00-0.915664487E+00-0.917798031E+00-0.919949222E+00 --0.922118060E+00-0.924304776E+00-0.926509603E+00-0.928732480E+00-0.930973405E+00 --0.933232743E+00-0.935510762E+00-0.937807409E+00-0.940122877E+00-0.942457014E+00 --0.944810321E+00-0.947182979E+00-0.949574923E+00-0.951985905E+00-0.954416768E+00 --0.956867397E+00-0.959337917E+00-0.961828423E+00-0.964339063E+00-0.966869808E+00 --0.969420889E+00-0.971992948E+00-0.974585701E+00-0.977199200E+00-0.979833962E+00 --0.982489987E+00-0.985167697E+00-0.987866338E+00-0.990586796E+00-0.993329456E+00 --0.996094318E+00-0.998881382E+00-0.100169075E+01-0.100452738E+01-0.100738685E+01 --0.894402598E+00-0.894198002E+00-0.893964981E+00-0.893703533E+00-0.893413660E+00 --0.893095361E+00-0.892748636E+00-0.892373485E+00-0.891969909E+00-0.891537906E+00 --0.891077477E+00-0.890600037E+00-0.890104125E+00-0.889586947E+00-0.889047876E+00 --0.888488668E+00-0.887909482E+00-0.887310316E+00-0.886691172E+00-0.886052049E+00 --0.885393543E+00-0.884719112E+00-0.884028525E+00-0.883321782E+00-0.882598868E+00 --0.881859715E+00-0.881104296E+00-0.880332659E+00-0.879546582E+00-0.878746935E+00 --0.877933718E+00-0.877107523E+00-0.876267145E+00-0.875413839E+00-0.874548511E+00 --0.873670590E+00-0.872779824E+00-0.871877947E+00-0.870965227E+00-0.870041070E+00 --0.869105420E+00-0.868160205E+00-0.867204617E+00-0.866238733E+00-0.865262454E+00 --0.864276449E+00-0.863282193E+00-0.862279685E+00-0.861268926E+00-0.860249915E+00 --0.859222895E+00-0.858187858E+00-0.857145374E+00-0.856096173E+00-0.855040255E+00 --0.853977618E+00-0.852908264E+00-0.851832616E+00-0.850752448E+00-0.849667232E+00 --0.848576894E+00-0.847481368E+00-0.846380763E+00-0.845276823E+00-0.844169942E+00 --0.843060065E+00-0.841946549E+00-0.840829231E+00-0.839709362E+00-0.838588569E+00 --0.837466197E+00-0.836342756E+00-0.835217913E+00-0.834091761E+00-0.832964300E+00 --0.831836382E+00-0.830709930E+00-0.829584996E+00-0.828461001E+00-0.827337626E+00 --0.826214862E+00-0.825094513E+00-0.823977363E+00-0.822863412E+00-0.821752749E+00 --0.820645267E+00-0.819540534E+00-0.818439684E+00-0.817344405E+00-0.816254635E+00 --0.815170461E+00-0.814091482E+00-0.813018524E+00-0.811951861E+00-0.810892499E+00 --0.809840194E+00-0.808794662E+00-0.807757751E+00-0.806729827E+00-0.805710890E+00 --0.804701021E+00-0.803699796E+00-0.802708743E+00-0.801728875E+00-0.800760082E+00 --0.799802210E+00-0.798855256E+00-0.797919432E+00-0.796997029E+00-0.796088048E+00 --0.795192490E+00-0.794310723E+00-0.793443318E+00-0.792589292E+00-0.791751810E+00 --0.790931402E+00-0.790128069E+00-0.789341692E+00-0.788572356E+00-0.787821909E+00 --0.787091890E+00-0.786382455E+00-0.785693847E+00-0.785025948E+00-0.784378486E+00 --0.783753271E+00-0.783152015E+00-0.782574716E+00-0.782021375E+00-0.781492080E+00 --0.780986921E+00-0.780506557E+00-0.780053045E+00-0.779626509E+00-0.779226915E+00 --0.778854235E+00-0.778508468E+00-0.778189755E+00-0.777899952E+00-0.777638845E+00 --0.777407445E+00-0.777206277E+00-0.777034825E+00-0.776892753E+00-0.776780094E+00 --0.776697164E+00-0.776643903E+00-0.776620622E+00-0.776628869E+00-0.776669110E+00 --0.776740232E+00-0.776841927E+00-0.776974276E+00-0.777137810E+00-0.777332526E+00 --0.777557928E+00-0.777813952E+00-0.778100727E+00-0.778417698E+00-0.778764767E+00 --0.779141936E+00-0.779549263E+00-0.779987023E+00-0.780453752E+00-0.780948810E+00 --0.781472198E+00-0.782023915E+00-0.782603961E+00-0.783211925E+00-0.783846747E+00 --0.784507175E+00-0.785193208E+00-0.785904827E+00-0.786641215E+00-0.787401412E+00 --0.788184999E+00-0.788991971E+00-0.789820497E+00-0.790669410E+00-0.791538551E+00 --0.792428736E+00-0.793338500E+00-0.794265425E+00-0.795209457E+00-0.796170598E+00 --0.797148849E+00-0.798144429E+00-0.799155669E+00-0.800182677E+00-0.801225236E+00 --0.802283346E+00-0.803357006E+00-0.804446217E+00-0.805550978E+00-0.806670353E+00 --0.807804867E+00-0.808954604E+00-0.810119558E+00-0.811299610E+00-0.812493955E+00 --0.813702590E+00-0.814925950E+00-0.816163998E+00-0.817416739E+00-0.818683858E+00 --0.819964963E+00-0.821260063E+00-0.822569542E+00-0.823893476E+00-0.825231865E+00 --0.826584663E+00-0.827951268E+00-0.829331544E+00-0.830726292E+00-0.832135093E+00 --0.833557786E+00-0.834994391E+00-0.836445234E+00-0.837910398E+00-0.839389884E+00 --0.840883261E+00-0.842390498E+00-0.843911677E+00-0.845447186E+00-0.846996958E+00 --0.848560859E+00-0.850138941E+00-0.851731203E+00-0.853337745E+00-0.854958867E+00 --0.856594245E+00-0.858244061E+00-0.859908318E+00-0.861587013E+00-0.863280150E+00 --0.864988436E+00-0.866710985E+00-0.868448468E+00-0.870200885E+00-0.871968183E+00 --0.873750263E+00-0.875547698E+00-0.877360109E+00-0.879187808E+00-0.881030795E+00 --0.882889070E+00-0.884762693E+00-0.886652169E+00-0.888557504E+00-0.890478700E+00 --0.892415632E+00-0.894368062E+00-0.896336885E+00-0.898322068E+00-0.900323533E+00 --0.902341388E+00-0.904375652E+00-0.906426285E+00-0.908493916E+00-0.910578566E+00 --0.912679871E+00-0.914798471E+00-0.916934174E+00-0.919087218E+00-0.921257774E+00 --0.923445856E+00-0.925651809E+00-0.927875532E+00-0.930117259E+00-0.932377046E+00 --0.934654776E+00-0.936951138E+00-0.939266076E+00-0.941599496E+00-0.943951623E+00 --0.946322639E+00-0.948712770E+00-0.951122018E+00-0.953550569E+00-0.955998569E+00 --0.958466162E+00-0.960953650E+00-0.963460801E+00-0.965988018E+00-0.968535487E+00 --0.971103061E+00-0.973691355E+00-0.976300070E+00-0.978929592E+00-0.981580312E+00 --0.984252328E+00-0.986945430E+00-0.989659631E+00-0.992395684E+00-0.995153939E+00 --0.997934396E+00-0.100073771E+01-0.100356529E+01-0.100641572E+01-0.100928897E+01 --0.891435693E+00-0.891240908E+00-0.891021605E+00-0.890775778E+00-0.890501524E+00 --0.890198844E+00-0.889867739E+00-0.889508208E+00-0.889120251E+00-0.888703868E+00 --0.888259059E+00-0.887798720E+00-0.887320387E+00-0.886820691E+00-0.886298419E+00 --0.885754783E+00-0.885192323E+00-0.884611047E+00-0.884010167E+00-0.883389309E+00 --0.882748874E+00-0.882092282E+00-0.881419105E+00-0.880728122E+00-0.880020138E+00 --0.879296950E+00-0.878558780E+00-0.877804330E+00-0.877034432E+00-0.876250964E+00 --0.875453646E+00-0.874641410E+00-0.873817419E+00-0.872978811E+00-0.872127358E+00 --0.871263060E+00-0.870385917E+00-0.869497025E+00-0.868597257E+00-0.867686612E+00 --0.866765363E+00-0.865832675E+00-0.864889649E+00-0.863936611E+00-0.862973288E+00 --0.861999815E+00-0.861017693E+00-0.860027320E+00-0.859028137E+00-0.858019725E+00 --0.857002614E+00-0.855979199E+00-0.854946519E+00-0.853907089E+00-0.852861224E+00 --0.851808655E+00-0.850749369E+00-0.849683416E+00-0.848612045E+00-0.847535617E+00 --0.846454133E+00-0.845367591E+00-0.844276184E+00-0.843181095E+00-0.842082227E+00 --0.840979556E+00-0.839873083E+00-0.838762806E+00-0.837649651E+00-0.836535122E+00 --0.835419046E+00-0.834300663E+00-0.833182004E+00-0.832062066E+00-0.830940818E+00 --0.829818985E+00-0.828697837E+00-0.827577214E+00-0.826457211E+00-0.825337828E+00 --0.824219065E+00-0.823102537E+00-0.821989561E+00-0.820878805E+00-0.819770713E+00 --0.818665369E+00-0.817562773E+00-0.816464292E+00-0.815371359E+00-0.814283046E+00 --0.813199491E+00-0.812121058E+00-0.811049561E+00-0.809983196E+00-0.808923889E+00 --0.807871639E+00-0.806826446E+00-0.805789631E+00-0.804761299E+00-0.803741477E+00 --0.802730171E+00-0.801727383E+00-0.800734196E+00-0.799752168E+00-0.798781311E+00 --0.797821625E+00-0.796872322E+00-0.795934514E+00-0.795010159E+00-0.794099260E+00 --0.793201814E+00-0.792317823E+00-0.791447423E+00-0.790592972E+00-0.789755151E+00 --0.788934494E+00-0.788131000E+00-0.787344670E+00-0.786576521E+00-0.785828577E+00 --0.785100755E+00-0.784393291E+00-0.783706655E+00-0.783040829E+00-0.782397498E+00 --0.781777663E+00-0.781182073E+00-0.780610727E+00-0.780063626E+00-0.779540693E+00 --0.779042119E+00-0.778570473E+00-0.778125804E+00-0.777708110E+00-0.777317393E+00 --0.776953841E+00-0.776618470E+00-0.776312087E+00-0.776034692E+00-0.775786275E+00 --0.775567449E+00-0.775378830E+00-0.775220419E+00-0.775092214E+00-0.774994217E+00 --0.774926125E+00-0.774888968E+00-0.774883548E+00-0.774909862E+00-0.774967912E+00 --0.775057607E+00-0.775178077E+00-0.775329604E+00-0.775512842E+00-0.775727348E+00 --0.775973122E+00-0.776250411E+00-0.776559803E+00-0.776899881E+00-0.777270372E+00 --0.777671274E+00-0.778102603E+00-0.778564288E+00-0.779056295E+00-0.779578397E+00 --0.780129027E+00-0.780707987E+00-0.781315259E+00-0.781950368E+00-0.782613239E+00 --0.783303228E+00-0.784018877E+00-0.784760550E+00-0.785526686E+00-0.786317209E+00 --0.787132119E+00-0.787970696E+00-0.788830752E+00-0.789711657E+00-0.790613431E+00 --0.791536075E+00-0.792479186E+00-0.793439853E+00-0.794417699E+00-0.795412633E+00 --0.796424674E+00-0.797453824E+00-0.798497733E+00-0.799556891E+00-0.800631638E+00 --0.801721897E+00-0.802827670E+00-0.803948955E+00-0.805085212E+00-0.806235813E+00 --0.807400913E+00-0.808581117E+00-0.809776536E+00-0.810986543E+00-0.812210747E+00 --0.813449146E+00-0.814701450E+00-0.815968763E+00-0.817250437E+00-0.818546097E+00 --0.819855744E+00-0.821179377E+00-0.822516932E+00-0.823868421E+00-0.825234389E+00 --0.826614531E+00-0.828008344E+00-0.829415827E+00-0.830837080E+00-0.832272307E+00 --0.833721427E+00-0.835184439E+00-0.836661343E+00-0.838152257E+00-0.839657193E+00 --0.841175937E+00-0.842708589E+00-0.844255139E+00-0.845815562E+00-0.847390062E+00 --0.848978569E+00-0.850581196E+00-0.852197941E+00-0.853828806E+00-0.855473975E+00 --0.857133006E+00-0.858806445E+00-0.860494338E+00-0.862196684E+00-0.863913483E+00 --0.865644731E+00-0.867390493E+00-0.869150903E+00-0.870926017E+00-0.872715913E+00 --0.874520590E+00-0.876340234E+00-0.878174886E+00-0.880024596E+00-0.881889626E+00 --0.883769785E+00-0.885664998E+00-0.887576079E+00-0.889502978E+00-0.891445368E+00 --0.893403249E+00-0.895376619E+00-0.897365833E+00-0.899371478E+00-0.901393480E+00 --0.903431838E+00-0.905486454E+00-0.907557267E+00-0.909644794E+00-0.911749059E+00 --0.913870112E+00-0.916008250E+00-0.918163403E+00-0.920335664E+00-0.922525436E+00 --0.924732423E+00-0.926957046E+00-0.929199438E+00-0.931459600E+00-0.933737581E+00 --0.936033818E+00-0.938348276E+00-0.940680956E+00-0.943031928E+00-0.945401768E+00 --0.947790262E+00-0.950197776E+00-0.952624399E+00-0.955069921E+00-0.957534614E+00 --0.960018991E+00-0.962522807E+00-0.965046315E+00-0.967589707E+00-0.970153202E+00 --0.972736867E+00-0.975340745E+00-0.977965097E+00-0.980610038E+00-0.983276024E+00 --0.985963072E+00-0.988671263E+00-0.991400538E+00-0.994151676E+00-0.996925526E+00 --0.999721465E+00-0.100254000E+01-0.100538137E+01-0.100824558E+01-0.101113262E+01 --0.888567630E+00-0.888377993E+00-0.888163208E+00-0.887923275E+00-0.887658196E+00 --0.887367969E+00-0.887052595E+00-0.886712073E+00-0.886340166E+00-0.885939403E+00 --0.885510213E+00-0.885066977E+00-0.884601930E+00-0.884115510E+00-0.883607161E+00 --0.883078295E+00-0.882530605E+00-0.881964089E+00-0.881378748E+00-0.880774582E+00 --0.880151622E+00-0.879511065E+00-0.878852777E+00-0.878176764E+00-0.877483522E+00 --0.876774946E+00-0.876051221E+00-0.875312325E+00-0.874558425E+00-0.873789617E+00 --0.873005900E+00-0.872207273E+00-0.871395825E+00-0.870571060E+00-0.869733195E+00 --0.868882520E+00-0.868018992E+00-0.867143055E+00-0.866256240E+00-0.865357981E+00 --0.864448157E+00-0.863526846E+00-0.862595212E+00-0.861653678E+00-0.860702245E+00 --0.859740701E+00-0.858769871E+00-0.857789992E+00-0.856800899E+00-0.855802591E+00 --0.854795307E+00-0.853780467E+00-0.852757857E+00-0.851727330E+00-0.850690250E+00 --0.849646745E+00-0.848596817E+00-0.847540744E+00-0.846477748E+00-0.845409249E+00 --0.844335247E+00-0.843255742E+00-0.842170793E+00-0.841082076E+00-0.839989797E+00 --0.838893958E+00-0.837794526E+00-0.836691291E+00-0.835584689E+00-0.834476309E+00 --0.833365087E+00-0.832251144E+00-0.831136209E+00-0.830020643E+00-0.828904775E+00 --0.827787118E+00-0.826669257E+00-0.825552044E+00-0.824435478E+00-0.823319559E+00 --0.822204288E+00-0.821090645E+00-0.819978511E+00-0.818869381E+00-0.817763349E+00 --0.816660142E+00-0.815559683E+00-0.814462730E+00-0.813369998E+00-0.812282024E+00 --0.811198809E+00-0.810120214E+00-0.809047899E+00-0.807981745E+00-0.806922090E+00 --0.805868934E+00-0.804822278E+00-0.803782695E+00-0.802752029E+00-0.801730335E+00 --0.800717463E+00-0.799713110E+00-0.798717873E+00-0.797733399E+00-0.796759420E+00 --0.795796179E+00-0.794843678E+00-0.793902646E+00-0.792975017E+00-0.792060843E+00 --0.791160102E+00-0.790273432E+00-0.789401567E+00-0.788546727E+00-0.787709255E+00 --0.786888767E+00-0.786085443E+00-0.785299439E+00-0.784533134E+00-0.783786955E+00 --0.783060901E+00-0.782355198E+00-0.781671048E+00-0.781009853E+00-0.780371724E+00 --0.779756782E+00-0.779165934E+00-0.778599330E+00-0.778056971E+00-0.777539778E+00 --0.777049755E+00-0.776586957E+00-0.776151229E+00-0.775742474E+00-0.775360692E+00 --0.775006841E+00-0.774682537E+00-0.774387800E+00-0.774122629E+00-0.773886746E+00 --0.773680383E+00-0.773504509E+00-0.773359253E+00-0.773244602E+00-0.773160562E+00 --0.773108464E+00-0.773088792E+00-0.773100997E+00-0.773145207E+00-0.773221368E+00 --0.773329221E+00-0.773468595E+00-0.773639357E+00-0.773842300E+00-0.774076780E+00 --0.774343518E+00-0.774642537E+00-0.774973839E+00-0.775337339E+00-0.775731701E+00 --0.776156674E+00-0.776612478E+00-0.777098605E+00-0.777615054E+00-0.778161825E+00 --0.778738918E+00-0.779346119E+00-0.779981018E+00-0.780643826E+00-0.781334410E+00 --0.782052793E+00-0.782798882E+00-0.783570569E+00-0.784367046E+00-0.785188313E+00 --0.786034369E+00-0.786903358E+00-0.787796729E+00-0.788710895E+00-0.789645691E+00 --0.790601358E+00-0.791577689E+00-0.792572079E+00-0.793583788E+00-0.794612815E+00 --0.795658783E+00-0.796721240E+00-0.797798711E+00-0.798891286E+00-0.799998856E+00 --0.801121411E+00-0.802259522E+00-0.803412923E+00-0.804580743E+00-0.805762982E+00 --0.806959640E+00-0.808170686E+00-0.809396314E+00-0.810636190E+00-0.811890356E+00 --0.813158791E+00-0.814441529E+00-0.815737982E+00-0.817048359E+00-0.818372665E+00 --0.819710899E+00-0.821063062E+00-0.822429215E+00-0.823809141E+00-0.825202820E+00 --0.826610170E+00-0.828031190E+00-0.829465882E+00-0.830914243E+00-0.832375903E+00 --0.833851449E+00-0.835340892E+00-0.836843971E+00-0.838360745E+00-0.839891667E+00 --0.841435932E+00-0.842993715E+00-0.844565370E+00-0.846150897E+00-0.847750306E+00 --0.849363591E+00-0.850990727E+00-0.852631816E+00-0.854287005E+00-0.855956094E+00 --0.857639091E+00-0.859336053E+00-0.861047415E+00-0.862773232E+00-0.864513384E+00 --0.866267642E+00-0.868036021E+00-0.869818993E+00-0.871616685E+00-0.873429099E+00 --0.875256233E+00-0.877098027E+00-0.878954718E+00-0.880826380E+00-0.882713011E+00 --0.884614631E+00-0.886531491E+00-0.888463842E+00-0.890411683E+00-0.892375015E+00 --0.894353836E+00-0.896348149E+00-0.898358002E+00-0.900384109E+00-0.902426411E+00 --0.904484802E+00-0.906559281E+00-0.908649848E+00-0.910757000E+00-0.912880969E+00 --0.915021293E+00-0.917178562E+00-0.919352845E+00-0.921544112E+00-0.923752393E+00 --0.925977918E+00-0.928221000E+00-0.930481641E+00-0.932759840E+00-0.935056016E+00 --0.937369975E+00-0.939702065E+00-0.942052468E+00-0.944421083E+00-0.946808010E+00 --0.949213582E+00-0.951638073E+00-0.954081430E+00-0.956543634E+00-0.959024987E+00 --0.961525604E+00-0.964045690E+00-0.966585246E+00-0.969144486E+00-0.971723705E+00 --0.974322854E+00-0.976942039E+00-0.979581562E+00-0.982241411E+00-0.984922022E+00 --0.987623685E+00-0.990346402E+00-0.993090171E+00-0.995855010E+00-0.998642015E+00 --0.100145150E+01-0.100428383E+01-0.100713899E+01-0.101001698E+01-0.101291781E+01 --0.885785350E+00-0.885600859E+00-0.885391220E+00-0.885156435E+00-0.884896502E+00 --0.884611422E+00-0.884301194E+00-0.883965819E+00-0.883605297E+00-0.883219628E+00 --0.882820474E+00-0.882392812E+00-0.881941415E+00-0.881468332E+00-0.880973907E+00 --0.880459812E+00-0.879926892E+00-0.879374632E+00-0.878802462E+00-0.878210408E+00 --0.877600051E+00-0.876972948E+00-0.876328878E+00-0.875667798E+00-0.874989217E+00 --0.874294494E+00-0.873584304E+00-0.872858647E+00-0.872117522E+00-0.871360929E+00 --0.870590569E+00-0.869805530E+00-0.869006201E+00-0.868193517E+00-0.867367476E+00 --0.866528971E+00-0.865679020E+00-0.864816036E+00-0.863940201E+00-0.863052793E+00 --0.862153983E+00-0.861243949E+00-0.860323267E+00-0.859392173E+00-0.858450665E+00 --0.857498744E+00-0.856537047E+00-0.855566279E+00-0.854586746E+00-0.853598542E+00 --0.852600972E+00-0.851594707E+00-0.850580673E+00-0.849558869E+00-0.848530441E+00 --0.847495479E+00-0.846453096E+00-0.845404019E+00-0.844348248E+00-0.843286379E+00 --0.842219047E+00-0.841146212E+00-0.840067716E+00-0.838984485E+00-0.837897691E+00 --0.836807334E+00-0.835713413E+00-0.834615370E+00-0.833514214E+00-0.832410487E+00 --0.831303801E+00-0.830194202E+00-0.829083357E+00-0.827971697E+00-0.826858695E+00 --0.825744489E+00-0.824629108E+00-0.823513916E+00-0.822399372E+00-0.821285475E+00 --0.820172427E+00-0.819060499E+00-0.817949465E+00-0.816840866E+00-0.815735270E+00 --0.814632539E+00-0.813532020E+00-0.812435438E+00-0.811342487E+00-0.810253710E+00 --0.809169471E+00-0.808090084E+00-0.807016432E+00-0.805948560E+00-0.804886671E+00 --0.803831325E+00-0.802782478E+00-0.801740161E+00-0.800706152E+00-0.799681115E+00 --0.798665052E+00-0.797657282E+00-0.796657993E+00-0.795669500E+00-0.794692128E+00 --0.793725509E+00-0.792769630E+00-0.791825289E+00-0.790894387E+00-0.789976769E+00 --0.789073946E+00-0.788185928E+00-0.787312716E+00-0.786456141E+00-0.785616955E+00 --0.784795160E+00-0.783991107E+00-0.783206770E+00-0.782442405E+00-0.781698012E+00 --0.780973591E+00-0.780270271E+00-0.779590564E+00-0.778934462E+00-0.778301522E+00 --0.777691651E+00-0.777105544E+00-0.776543591E+00-0.776007376E+00-0.775498390E+00 --0.775016631E+00-0.774562101E+00-0.774134799E+00-0.773734906E+00-0.773362225E+00 --0.773018783E+00-0.772704908E+00-0.772420592E+00-0.772166571E+00-0.771943168E+00 --0.771750382E+00-0.771588862E+00-0.771457997E+00-0.771357738E+00-0.771288735E+00 --0.771252582E+00-0.771249331E+00-0.771278191E+00-0.771339029E+00-0.771431873E+00 --0.771556721E+00-0.771713682E+00-0.771904494E+00-0.772127979E+00-0.772383865E+00 --0.772672151E+00-0.772992837E+00-0.773345904E+00-0.773731202E+00-0.774148850E+00 --0.774598665E+00-0.775078760E+00-0.775589612E+00-0.776131222E+00-0.776703589E+00 --0.777306713E+00-0.777940594E+00-0.778603826E+00-0.779294821E+00-0.780013714E+00 --0.780760396E+00-0.781534653E+00-0.782336484E+00-0.783165180E+00-0.784018068E+00 --0.784894550E+00-0.785795417E+00-0.786720734E+00-0.787667883E+00-0.788635582E+00 --0.789624021E+00-0.790633579E+00-0.791661984E+00-0.792707415E+00-0.793770165E+00 --0.794850118E+00-0.795946533E+00-0.797057963E+00-0.798184396E+00-0.799325832E+00 --0.800482370E+00-0.801653242E+00-0.802838444E+00-0.804038123E+00-0.805252279E+00 --0.806480912E+00-0.807723902E+00-0.808980544E+00-0.810250887E+00-0.811535450E+00 --0.812834289E+00-0.814147101E+00-0.815473215E+00-0.816812621E+00-0.818165723E+00 --0.819532754E+00-0.820913713E+00-0.822308601E+00-0.823716065E+00-0.825137274E+00 --0.826572198E+00-0.828020719E+00-0.829482835E+00-0.830958333E+00-0.832447238E+00 --0.833949512E+00-0.835465231E+00-0.836994581E+00-0.838537564E+00-0.840094017E+00 --0.841663844E+00-0.843247047E+00-0.844843670E+00-0.846454301E+00-0.848078667E+00 --0.849716429E+00-0.851368053E+00-0.853033448E+00-0.854712554E+00-0.856405444E+00 --0.858112287E+00-0.859833037E+00-0.861567856E+00-0.863316879E+00-0.865080003E+00 --0.866857229E+00-0.868648557E+00-0.870454064E+00-0.872274237E+00-0.874109035E+00 --0.875958203E+00-0.877821747E+00-0.879700079E+00-0.881593394E+00-0.883501770E+00 --0.885425031E+00-0.887362820E+00-0.889315817E+00-0.891284330E+00-0.893268358E+00 --0.895267900E+00-0.897282958E+00-0.899313342E+00-0.901359742E+00-0.903421884E+00 --0.905499878E+00-0.907594052E+00-0.909704407E+00-0.911830934E+00-0.913973801E+00 --0.916133470E+00-0.918309832E+00-0.920502887E+00-0.922712636E+00-0.924939245E+00 --0.927183254E+00-0.929444480E+00-0.931723217E+00-0.934019416E+00-0.936333105E+00 --0.938664432E+00-0.941013816E+00-0.943381359E+00-0.945766999E+00-0.948171034E+00 --0.950593561E+00-0.953034526E+00-0.955494230E+00-0.957972745E+00-0.960470103E+00 --0.962986807E+00-0.965522911E+00-0.968078150E+00-0.970652903E+00-0.973247249E+00 --0.975861407E+00-0.978495487E+00-0.981149817E+00-0.983824047E+00-0.986518986E+00 --0.989234539E+00-0.991970709E+00-0.994727498E+00-0.997504251E+00-0.100030332E+01 --0.100312544E+01-0.100597062E+01-0.100883886E+01-0.101173015E+01-0.101464453E+01 --0.883088851E+00-0.882909507E+00-0.882705015E+00-0.882475376E+00-0.882220590E+00 --0.881940656E+00-0.881635576E+00-0.881308673E+00-0.880960340E+00-0.880589729E+00 --0.880196840E+00-0.879778822E+00-0.879339116E+00-0.878878846E+00-0.878398440E+00 --0.877897625E+00-0.877377004E+00-0.876836500E+00-0.876276112E+00-0.875696024E+00 --0.875098452E+00-0.874483911E+00-0.873852335E+00-0.873203290E+00-0.872536256E+00 --0.871853314E+00-0.871155149E+00-0.870441760E+00-0.869713149E+00-0.868969314E+00 --0.868210168E+00-0.867436543E+00-0.866649126E+00-0.865848116E+00-0.865033900E+00 --0.864206478E+00-0.863365942E+00-0.862513441E+00-0.861648854E+00-0.860772210E+00 --0.859883508E+00-0.858982755E+00-0.858071284E+00-0.857149531E+00-0.856217495E+00 --0.855275276E+00-0.854322556E+00-0.853360454E+00-0.852389206E+00-0.851408812E+00 --0.850419610E+00-0.849422009E+00-0.848416461E+00-0.847402778E+00-0.846380940E+00 --0.845351409E+00-0.844315506E+00-0.843272978E+00-0.842223756E+00-0.841167840E+00 --0.840105814E+00-0.839039649E+00-0.837967124E+00-0.836889377E+00-0.835808068E+00 --0.834722560E+00-0.833632268E+00-0.832537192E+00-0.831438927E+00-0.830338358E+00 --0.829235414E+00-0.828130097E+00-0.827022407E+00-0.825912734E+00-0.824801858E+00 --0.823689778E+00-0.822576495E+00-0.821462495E+00-0.820349972E+00-0.819237042E+00 --0.818124473E+00-0.817012931E+00-0.815902439E+00-0.814794145E+00-0.813687991E+00 --0.812583959E+00-0.811482055E+00-0.810383478E+00-0.809289136E+00-0.808199029E+00 --0.807112692E+00-0.806030594E+00-0.804954277E+00-0.803883740E+00-0.802818984E+00 --0.801760008E+00-0.800707589E+00-0.799662712E+00-0.798625231E+00-0.797595835E+00 --0.796574785E+00-0.795562082E+00-0.794557840E+00-0.793564101E+00-0.792581619E+00 --0.791610394E+00-0.790650424E+00-0.789702062E+00-0.788767940E+00-0.787848964E+00 --0.786944793E+00-0.786055425E+00-0.785180865E+00-0.784322528E+00-0.783481552E+00 --0.782659427E+00-0.781856919E+00-0.781074027E+00-0.780311306E+00-0.779568563E+00 --0.778845843E+00-0.778145823E+00-0.777469460E+00-0.776816753E+00-0.776187702E+00 --0.775582307E+00-0.775000483E+00-0.774445365E+00-0.773917427E+00-0.773416670E+00 --0.772943092E+00-0.772496695E+00-0.772077478E+00-0.771685442E+00-0.771322036E+00 --0.770988866E+00-0.770686550E+00-0.770414851E+00-0.770173770E+00-0.769963306E+00 --0.769783461E+00-0.769634448E+00-0.769517975E+00-0.769432250E+00-0.769379140E+00 --0.769358932E+00-0.769371626E+00-0.769417103E+00-0.769494569E+00-0.769604040E+00 --0.769746629E+00-0.769923006E+00-0.770133158E+00-0.770377097E+00-0.770653558E+00 --0.770962419E+00-0.771303680E+00-0.771677477E+00-0.772084919E+00-0.772525775E+00 --0.772998009E+00-0.773503595E+00-0.774040230E+00-0.774607771E+00-0.775206285E+00 --0.775835662E+00-0.776495795E+00-0.777186829E+00-0.777906525E+00-0.778653827E+00 --0.779428717E+00-0.780231460E+00-0.781062154E+00-0.781920358E+00-0.782805145E+00 --0.783714278E+00-0.784647117E+00-0.785604293E+00-0.786584282E+00-0.787584832E+00 --0.788605932E+00-0.789647582E+00-0.790709633E+00-0.791789814E+00-0.792887426E+00 --0.794002464E+00-0.795133535E+00-0.796279509E+00-0.797440100E+00-0.798615695E+00 --0.799806189E+00-0.801010619E+00-0.802228761E+00-0.803460666E+00-0.804706994E+00 --0.805967798E+00-0.807242263E+00-0.808530298E+00-0.809831909E+00-0.811147097E+00 --0.812476284E+00-0.813819004E+00-0.815175026E+00-0.816544350E+00-0.817926977E+00 --0.819322885E+00-0.820732641E+00-0.822155726E+00-0.823591821E+00-0.825040934E+00 --0.826503469E+00-0.827979600E+00-0.829469274E+00-0.830971687E+00-0.832487106E+00 --0.834016112E+00-0.835558334E+00-0.837113932E+00-0.838682809E+00-0.840264792E+00 --0.841860151E+00-0.843468885E+00-0.845090993E+00-0.846726477E+00-0.848375383E+00 --0.850037731E+00-0.851713621E+00-0.853403032E+00-0.855106303E+00-0.856823163E+00 --0.858553529E+00-0.860297851E+00-0.862055933E+00-0.863827929E+00-0.865614021E+00 --0.867414207E+00-0.869228345E+00-0.871056152E+00-0.872898758E+00-0.874755613E+00 --0.876626773E+00-0.878512297E+00-0.880412293E+00-0.882327202E+00-0.884256821E+00 --0.886201100E+00-0.888160040E+00-0.890133751E+00-0.892122875E+00-0.894127513E+00 --0.896147402E+00-0.898182341E+00-0.900233061E+00-0.902299015E+00-0.904380585E+00 --0.906478190E+00-0.908591830E+00-0.910721521E+00-0.912867371E+00-0.915029378E+00 --0.917207575E+00-0.919402360E+00-0.921613866E+00-0.923842123E+00-0.926087036E+00 --0.928348884E+00-0.930627920E+00-0.932924257E+00-0.935237910E+00-0.937569054E+00 --0.939917654E+00-0.942284121E+00-0.944668303E+00-0.947070897E+00-0.949491601E+00 --0.951930587E+00-0.954387902E+00-0.956863610E+00-0.959358119E+00-0.961871353E+00 --0.964403287E+00-0.966954635E+00-0.969525396E+00-0.972115797E+00-0.974725300E+00 --0.977354105E+00-0.980002618E+00-0.982670838E+00-0.985358895E+00-0.988067566E+00 --0.990796854E+00-0.993546761E+00-0.996315007E+00-0.999103418E+00-0.100191488E+01 --0.100474941E+01-0.100760699E+01-0.101048762E+01-0.101339131E+01-0.101631805E+01 --0.880478134E+00-0.880303937E+00-0.880104592E+00-0.879880100E+00-0.879628760E+00 --0.879352867E+00-0.879054697E+00-0.878734248E+00-0.878391521E+00-0.878026516E+00 --0.877639233E+00-0.877230859E+00-0.876802057E+00-0.876351624E+00-0.875879884E+00 --0.875388026E+00-0.874877471E+00-0.874348320E+00-0.873799716E+00-0.873231834E+00 --0.872646068E+00-0.872042564E+00-0.871421516E+00-0.870782924E+00-0.870126956E+00 --0.869455437E+00-0.868768598E+00-0.868066014E+00-0.867347644E+00-0.866613488E+00 --0.865865040E+00-0.865102134E+00-0.864325021E+00-0.863534436E+00-0.862730165E+00 --0.861912689E+00-0.861081844E+00-0.860238386E+00-0.859382980E+00-0.858515627E+00 --0.857636459E+00-0.856745335E+00-0.855842637E+00-0.854929603E+00-0.854006153E+00 --0.853071863E+00-0.852126841E+00-0.851172239E+00-0.850208317E+00-0.849235311E+00 --0.848253650E+00-0.847263216E+00-0.846264043E+00-0.845256659E+00-0.844241140E+00 --0.843217016E+00-0.842186281E+00-0.841149184E+00-0.840105726E+00-0.839055907E+00 --0.837999727E+00-0.836937184E+00-0.835869208E+00-0.834796447E+00-0.833718902E+00 --0.832636574E+00-0.831549462E+00-0.830457566E+00-0.829362098E+00-0.828264257E+00 --0.827163964E+00-0.826060570E+00-0.824953906E+00-0.823844905E+00-0.822734968E+00 --0.821624095E+00-0.820512285E+00-0.819399601E+00-0.818286841E+00-0.817173810E+00 --0.816060957E+00-0.814948646E+00-0.813836876E+00-0.812726484E+00-0.811618667E+00 --0.810513250E+00-0.809409891E+00-0.808309318E+00-0.807212748E+00-0.806119671E+00 --0.805030071E+00-0.803943927E+00-0.802863305E+00-0.801788645E+00-0.800719949E+00 --0.799657216E+00-0.798600438E+00-0.797549338E+00-0.796506120E+00-0.795471726E+00 --0.794445799E+00-0.793428219E+00-0.792418985E+00-0.791419996E+00-0.790432268E+00 --0.789455917E+00-0.788492024E+00-0.787540637E+00-0.786603045E+00-0.785680782E+00 --0.784773848E+00-0.783882242E+00-0.783005988E+00-0.782146228E+00-0.781306074E+00 --0.780485537E+00-0.779684616E+00-0.778903312E+00-0.778141625E+00-0.777399570E+00 --0.776678779E+00-0.775982219E+00-0.775309889E+00-0.774661789E+00-0.774037920E+00 --0.773438281E+00-0.772863060E+00-0.772314654E+00-0.771793429E+00-0.771299383E+00 --0.770832518E+00-0.770393483E+00-0.769983009E+00-0.769600968E+00-0.769248210E+00 --0.768926278E+00-0.768635022E+00-0.768374731E+00-0.768145405E+00-0.767947043E+00 --0.767779647E+00-0.767643216E+00-0.767539664E+00-0.767469363E+00-0.767431991E+00 --0.767427549E+00-0.767456037E+00-0.767517454E+00-0.767612109E+00-0.767740204E+00 --0.767902055E+00-0.768097680E+00-0.768327081E+00-0.768590588E+00-0.768887625E+00 --0.769217027E+00-0.769579705E+00-0.769975956E+00-0.770405780E+00-0.770869176E+00 --0.771365110E+00-0.771893947E+00-0.772455572E+00-0.773048497E+00-0.773672327E+00 --0.774327063E+00-0.775013040E+00-0.775730327E+00-0.776478789E+00-0.777255328E+00 --0.778059818E+00-0.778892259E+00-0.779752115E+00-0.780639593E+00-0.781554764E+00 --0.782495223E+00-0.783459660E+00-0.784448158E+00-0.785460974E+00-0.786494980E+00 --0.787549472E+00-0.788624448E+00-0.789719910E+00-0.790835497E+00-0.791968251E+00 --0.793118355E+00-0.794284074E+00-0.795464787E+00-0.796660284E+00-0.797870037E+00 --0.799094246E+00-0.800332129E+00-0.801583725E+00-0.802849033E+00-0.804127946E+00 --0.805420078E+00-0.806726051E+00-0.808045631E+00-0.809378820E+00-0.810725576E+00 --0.812085139E+00-0.813457840E+00-0.814843834E+00-0.816243093E+00-0.817655619E+00 --0.819081285E+00-0.820519911E+00-0.821971636E+00-0.823436362E+00-0.824914105E+00 --0.826404260E+00-0.827908013E+00-0.829425031E+00-0.830954678E+00-0.832496982E+00 --0.834052396E+00-0.835621026E+00-0.837202609E+00-0.838797371E+00-0.840405182E+00 --0.842025872E+00-0.843659878E+00-0.845307201E+00-0.846967841E+00-0.848641794E+00 --0.850328672E+00-0.852028863E+00-0.853742574E+00-0.855469666E+00-0.857210166E+00 --0.858964090E+00-0.860731918E+00-0.862512917E+00-0.864307915E+00-0.866116969E+00 --0.867939737E+00-0.869776221E+00-0.871626469E+00-0.873490921E+00-0.875369633E+00 --0.877262606E+00-0.879169838E+00-0.881091262E+00-0.883027229E+00-0.884977867E+00 --0.886943165E+00-0.888923123E+00-0.890917742E+00-0.892927314E+00-0.894952127E+00 --0.896992053E+00-0.899047155E+00-0.901117501E+00-0.903203085E+00-0.905303997E+00 --0.907420839E+00-0.909553716E+00-0.911702431E+00-0.913866859E+00-0.916047448E+00 --0.918244291E+00-0.920457390E+00-0.922687069E+00-0.924933207E+00-0.927195988E+00 --0.929475504E+00-0.931771837E+00-0.934085302E+00-0.936415893E+00-0.938764799E+00 --0.941130417E+00-0.943513365E+00-0.945913998E+00-0.948332277E+00-0.950768967E+00 --0.953224142E+00-0.955697802E+00-0.958189884E+00-0.960700118E+00-0.963229170E+00 --0.965776335E+00-0.968343538E+00-0.970929675E+00-0.973534593E+00-0.976158292E+00 --0.978801157E+00-0.981463771E+00-0.984146092E+00-0.986847937E+00-0.989570344E+00 --0.992313369E+00-0.995074277E+00-0.997852031E+00-0.100065284E+01-0.100347671E+01 --0.100632363E+01-0.100919360E+01-0.101208664E+01-0.101500273E+01-0.101794187E+01 --0.877953200E+00-0.877780735E+00-0.877577283E+00-0.877351553E+00-0.877103544E+00 --0.876833258E+00-0.876540693E+00-0.876225850E+00-0.875888729E+00-0.875529330E+00 --0.875147652E+00-0.874747377E+00-0.874325091E+00-0.873882064E+00-0.873418337E+00 --0.872935367E+00-0.872433701E+00-0.871913353E+00-0.871374464E+00-0.870816214E+00 --0.870240057E+00-0.869646298E+00-0.869034935E+00-0.868405970E+00-0.867760349E+00 --0.867098970E+00-0.866421772E+00-0.865728787E+00-0.865020015E+00-0.864295761E+00 --0.863556625E+00-0.862802606E+00-0.862034401E+00-0.861252729E+00-0.860457585E+00 --0.859649219E+00-0.858827138E+00-0.857992231E+00-0.857145375E+00-0.856286277E+00 --0.855414958E+00-0.854531416E+00-0.853637621E+00-0.852731906E+00-0.851815643E+00 --0.850888513E+00-0.849950536E+00-0.849003100E+00-0.848045426E+00-0.847078549E+00 --0.846102900E+00-0.845118479E+00-0.844125286E+00-0.843123321E+00-0.842112585E+00 --0.841093924E+00-0.840068427E+00-0.839036050E+00-0.837996792E+00-0.836950651E+00 --0.835897629E+00-0.834839318E+00-0.833774753E+00-0.832704038E+00-0.831628874E+00 --0.830549263E+00-0.829465208E+00-0.828376463E+00-0.827283534E+00-0.826187393E+00 --0.825088020E+00-0.823985414E+00-0.822879575E+00-0.821771074E+00-0.820661550E+00 --0.819551163E+00-0.818439413E+00-0.817325855E+00-0.816210568E+00-0.815095991E+00 --0.813981755E+00-0.812867698E+00-0.811754176E+00-0.810641304E+00-0.809530517E+00 --0.808422251E+00-0.807316500E+00-0.806212153E+00-0.805111232E+00-0.804014149E+00 --0.802920818E+00-0.801830939E+00-0.800745455E+00-0.799665842E+00-0.798591729E+00 --0.797523157E+00-0.796460129E+00-0.795402663E+00-0.794352751E+00-0.793311686E+00 --0.792279470E+00-0.791256101E+00-0.790241580E+00-0.789236980E+00-0.788244972E+00 --0.787265475E+00-0.786298490E+00-0.785344017E+00-0.784403063E+00-0.783477423E+00 --0.782567158E+00-0.781673524E+00-0.780797057E+00-0.779937792E+00-0.779097445E+00 --0.778276710E+00-0.777475587E+00-0.776694073E+00-0.775933017E+00-0.775193401E+00 --0.774477680E+00-0.773785626E+00-0.773117937E+00-0.772474943E+00-0.771856645E+00 --0.771262841E+00-0.770693166E+00-0.770150431E+00-0.769635760E+00-0.769149048E+00 --0.768690768E+00-0.768260921E+00-0.767859507E+00-0.767486815E+00-0.767144843E+00 --0.766833916E+00-0.766553909E+00-0.766304711E+00-0.766086478E+00-0.765899278E+00 --0.765744648E+00-0.765622771E+00-0.765533804E+00-0.765478005E+00-0.765455135E+00 --0.765465195E+00-0.765508585E+00-0.765586159E+00-0.765697769E+00-0.765844383E+00 --0.766025035E+00-0.766239482E+00-0.766487725E+00-0.766769816E+00-0.767086821E+00 --0.767437996E+00-0.767822757E+00-0.768241103E+00-0.768693035E+00-0.769178604E+00 --0.769698281E+00-0.770250932E+00-0.770836380E+00-0.771454673E+00-0.772103891E+00 --0.772785373E+00-0.773497823E+00-0.774241240E+00-0.775015623E+00-0.775820911E+00 --0.776655158E+00-0.777517280E+00-0.778407094E+00-0.779324601E+00-0.780269800E+00 --0.781241533E+00-0.782237214E+00-0.783257304E+00-0.784300637E+00-0.785367266E+00 --0.786456545E+00-0.787565660E+00-0.788694612E+00-0.789843678E+00-0.791012687E+00 --0.792197780E+00-0.793398148E+00-0.794613509E+00-0.795843865E+00-0.797088858E+00 --0.798346542E+00-0.799618907E+00-0.800904453E+00-0.802203171E+00-0.803515060E+00 --0.804840120E+00-0.806178351E+00-0.807529720E+00-0.808894669E+00-0.810272640E+00 --0.811663266E+00-0.813066541E+00-0.814482571E+00-0.815911867E+00-0.817354055E+00 --0.818808823E+00-0.820276433E+00-0.821756928E+00-0.823249991E+00-0.824756062E+00 --0.826274571E+00-0.827806174E+00-0.829350426E+00-0.830907307E+00-0.832476817E+00 --0.834058839E+00-0.835653952E+00-0.837261803E+00-0.838882466E+00-0.840516045E+00 --0.842162462E+00-0.843821726E+00-0.845494212E+00-0.847179873E+00-0.848878387E+00 --0.850589768E+00-0.852314062E+00-0.854052044E+00-0.855802750E+00-0.857566879E+00 --0.859344431E+00-0.861135202E+00-0.862939423E+00-0.864757290E+00-0.866588793E+00 --0.868434010E+00-0.870292943E+00-0.872165396E+00-0.874051694E+00-0.875952396E+00 --0.877867032E+00-0.879795571E+00-0.881738012E+00-0.883694668E+00-0.885665995E+00 --0.887651995E+00-0.889652669E+00-0.891667938E+00-0.893697612E+00-0.895742369E+00 --0.897802129E+00-0.899876692E+00-0.901966663E+00-0.904071873E+00-0.906192320E+00 --0.908328391E+00-0.910479950E+00-0.912647166E+00-0.914830138E+00-0.917029057E+00 --0.919244110E+00-0.921475250E+00-0.923723077E+00-0.925986869E+00-0.928267083E+00 --0.930563827E+00-0.932877204E+00-0.935207667E+00-0.937555515E+00-0.939920583E+00 --0.942302631E+00-0.944701933E+00-0.947119016E+00-0.949553181E+00-0.952005467E+00 --0.954476239E+00-0.956965495E+00-0.959473236E+00-0.961999647E+00-0.964544482E+00 --0.967107432E+00-0.969688877E+00-0.972289103E+00-0.974908110E+00-0.977545898E+00 --0.980202467E+00-0.982879075E+00-0.985575497E+00-0.988291180E+00-0.991027323E+00 --0.993782063E+00-0.996549160E+00-0.999339313E+00-0.100215252E+01-0.100498879E+01 --0.100784811E+01-0.101073048E+01-0.101363591E+01-0.101656440E+01-0.101951594E+01 --0.875480297E+00-0.875304728E+00-0.875107068E+00-0.874887586E+00-0.874645456E+00 --0.874380678E+00-0.874093251E+00-0.873783176E+00-0.873450452E+00-0.873095080E+00 --0.872717060E+00-0.872320380E+00-0.871905029E+00-0.871469513E+00-0.871013799E+00 --0.870539420E+00-0.870045641E+00-0.869532749E+00-0.869000745E+00-0.868449798E+00 --0.867881521E+00-0.867296299E+00-0.866693680E+00-0.866073454E+00-0.865436381E+00 --0.864783455E+00-0.864114677E+00-0.863429914E+00-0.862729568E+00-0.862014070E+00 --0.861283538E+00-0.860537975E+00-0.859778510E+00-0.859005250E+00-0.858218127E+00 --0.857417296E+00-0.856602755E+00-0.855775200E+00-0.854935422E+00-0.854083423E+00 --0.853219666E+00-0.852343987E+00-0.851456108E+00-0.850556226E+00-0.849645740E+00 --0.848724913E+00-0.847793745E+00-0.846852206E+00-0.845899997E+00-0.844938679E+00 --0.843968252E+00-0.842988715E+00-0.842000068E+00-0.841002418E+00-0.839997132E+00 --0.838983418E+00-0.837961432E+00-0.836932332E+00-0.835896351E+00-0.834853487E+00 --0.833804107E+00-0.832748082E+00-0.831685378E+00-0.830616472E+00-0.829542988E+00 --0.828465056E+00-0.827382594E+00-0.826295162E+00-0.825202658E+00-0.824106236E+00 --0.823006831E+00-0.821904443E+00-0.820799073E+00-0.819691512E+00-0.818581107E+00 --0.817469338E+00-0.816355761E+00-0.815240377E+00-0.814123185E+00-0.813005405E+00 --0.811888063E+00-0.810771062E+00-0.809654596E+00-0.808539825E+00-0.807426069E+00 --0.806313637E+00-0.805202899E+00-0.804093889E+00-0.802987463E+00-0.801884865E+00 --0.800786106E+00-0.799691123E+00-0.798599390E+00-0.797512664E+00-0.796431880E+00 --0.795356976E+00-0.794287653E+00-0.793223870E+00-0.792167263E+00-0.791119505E+00 --0.790080480E+00-0.789050851E+00-0.788030651E+00-0.787021128E+00-0.786024494E+00 --0.785040790E+00-0.784070014E+00-0.783112167E+00-0.782167583E+00-0.781239535E+00 --0.780328689E+00-0.779435009E+00-0.778558496E+00-0.777699148E+00-0.776858262E+00 --0.776037239E+00-0.775236547E+00-0.774457170E+00-0.773699114E+00-0.772962516E+00 --0.772250049E+00-0.771562259E+00-0.770899033E+00-0.770259940E+00-0.769645543E+00 --0.769055841E+00-0.768492201E+00-0.767957110E+00-0.767450106E+00-0.766971372E+00 --0.766520998E+00-0.766098983E+00-0.765705678E+00-0.765343068E+00-0.765011905E+00 --0.764711850E+00-0.764442902E+00-0.764204797E+00-0.763998648E+00-0.763825251E+00 --0.763684607E+00-0.763576715E+00-0.763501869E+00-0.763460571E+00-0.763452231E+00 --0.763477857E+00-0.763537687E+00-0.763631721E+00-0.763760105E+00-0.763923751E+00 --0.764122635E+00-0.764355623E+00-0.764622406E+00-0.764923543E+00-0.765259943E+00 --0.765631436E+00-0.766037669E+00-0.766477560E+00-0.766951182E+00-0.767459232E+00 --0.768001709E+00-0.768577792E+00-0.769186673E+00-0.769828141E+00-0.770502602E+00 --0.771210818E+00-0.771950249E+00-0.772720688E+00-0.773522135E+00-0.774354590E+00 --0.775217637E+00-0.776108940E+00-0.777028198E+00-0.777975413E+00-0.778950584E+00 --0.779953433E+00-0.780982507E+00-0.782034734E+00-0.783110115E+00-0.784208649E+00 --0.785330336E+00-0.786473673E+00-0.787636761E+00-0.788819684E+00-0.790022292E+00 --0.791241479E+00-0.792477127E+00-0.793727840E+00-0.794993596E+00-0.796273808E+00 --0.797566941E+00-0.798873167E+00-0.800192397E+00-0.801524633E+00-0.802869873E+00 --0.804228118E+00-0.805599367E+00-0.806983253E+00-0.808379550E+00-0.809788656E+00 --0.811210427E+00-0.812644863E+00-0.814091662E+00-0.815551132E+00-0.817022992E+00 --0.818507443E+00-0.820004340E+00-0.821513480E+00-0.823035187E+00-0.824569201E+00 --0.826115396E+00-0.827674443E+00-0.829246145E+00-0.830830500E+00-0.832427507E+00 --0.834036746E+00-0.835658113E+00-0.837292314E+00-0.838939093E+00-0.840598257E+00 --0.842270259E+00-0.843954898E+00-0.845651998E+00-0.847362228E+00-0.849085291E+00 --0.850821187E+00-0.852569916E+00-0.854331481E+00-0.856106260E+00-0.857894057E+00 --0.859694931E+00-0.861508882E+00-0.863335858E+00-0.865176265E+00-0.867030326E+00 --0.868898039E+00-0.870779181E+00-0.872673604E+00-0.874582132E+00-0.876504165E+00 --0.878440028E+00-0.880389793E+00-0.882353461E+00-0.884331005E+00-0.886323018E+00 --0.888329704E+00-0.890350657E+00-0.892385890E+00-0.894435415E+00-0.896499898E+00 --0.898579087E+00-0.900673146E+00-0.902782216E+00-0.904906478E+00-0.907045929E+00 --0.909200746E+00-0.911370968E+00-0.913556581E+00-0.915757815E+00-0.917974713E+00 --0.920207644E+00-0.922456940E+00-0.924722283E+00-0.927003411E+00-0.929300758E+00 --0.931614745E+00-0.933945212E+00-0.936292576E+00-0.938656652E+00-0.941037706E+00 --0.943435739E+00-0.945850751E+00-0.948283359E+00-0.950733608E+00-0.953201492E+00 --0.955688022E+00-0.958193077E+00-0.960716245E+00-0.963257526E+00-0.965816920E+00 --0.968394426E+00-0.970990045E+00-0.973603776E+00-0.976236347E+00-0.978888224E+00 --0.981558883E+00-0.984248530E+00-0.986959053E+00-0.989688621E+00-0.992438365E+00 --0.995194804E+00-0.997974300E+00-0.100077685E+01-0.100360246E+01-0.100645112E+01 --0.100932284E+01-0.101221761E+01-0.101513544E+01-0.101807633E+01-0.102104027E+01 --0.873075062E+00-0.872903994E+00-0.872710278E+00-0.872493913E+00-0.872254899E+00 --0.871993238E+00-0.871708928E+00-0.871401969E+00-0.871072362E+00-0.870720106E+00 --0.870345202E+00-0.869953160E+00-0.869542934E+00-0.869113332E+00-0.868664288E+00 --0.868195133E+00-0.867707975E+00-0.867201968E+00-0.866676850E+00-0.866132656E+00 --0.865571351E+00-0.864993101E+00-0.864397907E+00-0.863785693E+00-0.863156714E+00 --0.862511301E+00-0.861849483E+00-0.861171521E+00-0.860478443E+00-0.859770310E+00 --0.859047230E+00-0.858308913E+00-0.857555952E+00-0.856789395E+00-0.856009243E+00 --0.855215495E+00-0.854408152E+00-0.853587372E+00-0.852754509E+00-0.851908902E+00 --0.851051095E+00-0.850181089E+00-0.849298883E+00-0.848404477E+00-0.847499411E+00 --0.846584155E+00-0.845657787E+00-0.844720987E+00-0.843774111E+00-0.842817189E+00 --0.841850903E+00-0.840875508E+00-0.839890553E+00-0.838896901E+00-0.837894821E+00 --0.836884312E+00-0.835865374E+00-0.834838319E+00-0.833805532E+00-0.832764566E+00 --0.831716920E+00-0.830662595E+00-0.829601591E+00-0.828534160E+00-0.827462354E+00 --0.826384779E+00-0.825302173E+00-0.824214646E+00-0.823122199E+00-0.822025098E+00 --0.820924916E+00-0.819821829E+00-0.818714957E+00-0.817604907E+00-0.816494102E+00 --0.815378293E+00-0.814261359E+00-0.813143300E+00-0.812024117E+00-0.810903611E+00 --0.809783157E+00-0.808662761E+00-0.807542354E+00-0.806421940E+00-0.805303227E+00 --0.804185081E+00-0.803068970E+00-0.801954874E+00-0.800842586E+00-0.799734062E+00 --0.798628664E+00-0.797526425E+00-0.796427321E+00-0.795332655E+00-0.794243930E+00 --0.793161145E+00-0.792084302E+00-0.791013189E+00-0.789949777E+00-0.788896218E+00 --0.787852088E+00-0.786817386E+00-0.785792113E+00-0.784777674E+00-0.783776144E+00 --0.782787544E+00-0.781812423E+00-0.780851534E+00-0.779904921E+00-0.778974953E+00 --0.778062492E+00-0.777167537E+00-0.776290090E+00-0.775430150E+00-0.774589270E+00 --0.773770039E+00-0.772972343E+00-0.772195966E+00-0.771440909E+00-0.770707312E+00 --0.769998100E+00-0.769313563E+00-0.768653704E+00-0.768018521E+00-0.767408062E+00 --0.766824483E+00-0.766268987E+00-0.765741573E+00-0.765242243E+00-0.764770996E+00 --0.764327967E+00-0.763914762E+00-0.763531781E+00-0.763179169E+00-0.762857585E+00 --0.762567109E+00-0.762308034E+00-0.762081234E+00-0.761887750E+00-0.761727461E+00 --0.761600022E+00-0.761505434E+00-0.761443884E+00-0.761417304E+00-0.761425185E+00 --0.761467270E+00-0.761543559E+00-0.761654051E+00-0.761799316E+00-0.761979868E+00 --0.762195709E+00-0.762446837E+00-0.762732189E+00-0.763052904E+00-0.763408790E+00 --0.763799770E+00-0.764225858E+00-0.764687320E+00-0.765183521E+00-0.765714223E+00 --0.766279353E+00-0.766878737E+00-0.767511186E+00-0.768177130E+00-0.768876601E+00 --0.769609779E+00-0.770375447E+00-0.771173149E+00-0.772002045E+00-0.772861949E+00 --0.773753021E+00-0.774672907E+00-0.775620749E+00-0.776596641E+00-0.777601693E+00 --0.778634926E+00-0.779694224E+00-0.780779920E+00-0.781888068E+00-0.783018741E+00 --0.784172475E+00-0.785349363E+00-0.786547875E+00-0.787764933E+00-0.789001140E+00 --0.790254474E+00-0.791524885E+00-0.792811582E+00-0.794113001E+00-0.795428057E+00 --0.796756213E+00-0.798096971E+00-0.799450139E+00-0.800816311E+00-0.802195488E+00 --0.803587512E+00-0.804991399E+00-0.806407202E+00-0.807835193E+00-0.809275886E+00 --0.810729242E+00-0.812194713E+00-0.813671837E+00-0.815161289E+00-0.816663184E+00 --0.818177308E+00-0.819703632E+00-0.821241971E+00-0.822792431E+00-0.824354957E+00 --0.825929509E+00-0.827516169E+00-0.829115482E+00-0.830727313E+00-0.832351239E+00 --0.833987268E+00-0.835635402E+00-0.837295640E+00-0.838967678E+00-0.840652678E+00 --0.842350089E+00-0.844059978E+00-0.845782251E+00-0.847517037E+00-0.849264656E+00 --0.851025100E+00-0.852797975E+00-0.854583072E+00-0.856381098E+00-0.858192232E+00 --0.860016337E+00-0.861853410E+00-0.863703577E+00-0.865566678E+00-0.867443319E+00 --0.869333106E+00-0.871236039E+00-0.873152117E+00-0.875081560E+00-0.877024812E+00 --0.878981857E+00-0.880952695E+00-0.882937509E+00-0.884936238E+00-0.886948801E+00 --0.888975386E+00-0.891016281E+00-0.893071512E+00-0.895140862E+00-0.897224707E+00 --0.899323269E+00-0.901436561E+00-0.903564482E+00-0.905707443E+00-0.907865669E+00 --0.910039023E+00-0.912227494E+00-0.914431227E+00-0.916650468E+00-0.918885395E+00 --0.921136228E+00-0.923402921E+00-0.925685398E+00-0.927983660E+00-0.930297705E+00 --0.932628260E+00-0.934975859E+00-0.937339066E+00-0.939719127E+00-0.942116166E+00 --0.944530185E+00-0.946961123E+00-0.949408479E+00-0.951873247E+00-0.954356748E+00 --0.956858532E+00-0.959378469E+00-0.961916195E+00-0.964472034E+00-0.967045985E+00 --0.969638049E+00-0.972248226E+00-0.974876516E+00-0.977522918E+00-0.980187432E+00 --0.982870060E+00-0.985573548E+00-0.988296759E+00-0.991040263E+00-0.993788964E+00 --0.996557803E+00-0.999349697E+00-0.100216465E+01-0.100500265E+01-0.100786371E+01 --0.101074783E+01-0.101365501E+01-0.101658523E+01-0.101953832E+01-0.102251354E+01 --0.870751447E+00-0.870575561E+00-0.870379084E+00-0.870162015E+00-0.869924355E+00 --0.869666005E+00-0.869384812E+00-0.869080970E+00-0.868754479E+00-0.868405340E+00 --0.868033553E+00-0.867646147E+00-0.867240402E+00-0.866814621E+00-0.866369153E+00 --0.865904465E+00-0.865421779E+00-0.864921096E+00-0.864402416E+00-0.863865431E+00 --0.863310541E+00-0.862737829E+00-0.862148387E+00-0.861542310E+00-0.860919599E+00 --0.860280253E+00-0.859624637E+00-0.858953181E+00-0.858266444E+00-0.857564623E+00 --0.856847717E+00-0.856115499E+00-0.855368996E+00-0.854608621E+00-0.853834373E+00 --0.853046252E+00-0.852244259E+00-0.851429726E+00-0.850601405E+00-0.849760306E+00 --0.848907411E+00-0.848042720E+00-0.847166165E+00-0.846277432E+00-0.845376859E+00 --0.844465727E+00-0.843543205E+00-0.842610607E+00-0.841667726E+00-0.840714328E+00 --0.839750849E+00-0.838778645E+00-0.837796129E+00-0.836805081E+00-0.835805498E+00 --0.834797381E+00-0.833780731E+00-0.832756087E+00-0.831723832E+00-0.830683560E+00 --0.829636707E+00-0.828583272E+00-0.827523257E+00-0.826457102E+00-0.825385299E+00 --0.824306864E+00-0.823223468E+00-0.822135113E+00-0.821041797E+00-0.819943522E+00 --0.818842780E+00-0.817737240E+00-0.816627676E+00-0.815514460E+00-0.814399219E+00 --0.813281076E+00-0.812160166E+00-0.811038131E+00-0.809914972E+00-0.808790909E+00 --0.807666130E+00-0.806540332E+00-0.805414521E+00-0.804289064E+00-0.803164137E+00 --0.802039471E+00-0.800916223E+00-0.799795009E+00-0.798675663E+00-0.797559107E+00 --0.796445907E+00-0.795336184E+00-0.794229801E+00-0.793127225E+00-0.792030471E+00 --0.790939668E+00-0.789855057E+00-0.788776591E+00-0.787706659E+00-0.786646635E+00 --0.785596517E+00-0.784556318E+00-0.783525971E+00-0.782506557E+00-0.781500624E+00 --0.780508928E+00-0.779531468E+00-0.778568244E+00-0.777619505E+00-0.776687663E+00 --0.775773329E+00-0.774876773E+00-0.773998815E+00-0.773139508E+00-0.772299507E+00 --0.771481232E+00-0.770684898E+00-0.769910504E+00-0.769158402E+00-0.768427789E+00 --0.767721916E+00-0.767041296E+00-0.766385980E+00-0.765755967E+00-0.765151445E+00 --0.764574437E+00-0.764025442E+00-0.763504460E+00-0.763011491E+00-0.762548301E+00 --0.762115188E+00-0.761712133E+00-0.761339605E+00-0.760996832E+00-0.760684873E+00 --0.760405013E+00-0.760157579E+00-0.759942506E+00-0.759760717E+00-0.759612901E+00 --0.759498422E+00-0.759416696E+00-0.759368880E+00-0.759356027E+00-0.759378028E+00 --0.759434882E+00-0.759526589E+00-0.759653337E+00-0.759815689E+00-0.760013362E+00 --0.760246356E+00-0.760514671E+00-0.760818606E+00-0.761159020E+00-0.761535251E+00 --0.761946844E+00-0.762393781E+00-0.762876060E+00-0.763393759E+00-0.763946107E+00 --0.764533062E+00-0.765155235E+00-0.765812292E+00-0.766503475E+00-0.767228213E+00 --0.767986470E+00-0.768777399E+00-0.769600446E+00-0.770455609E+00-0.771342796E+00 --0.772261634E+00-0.773210021E+00-0.774186843E+00-0.775192721E+00-0.776227656E+00 --0.777290852E+00-0.778380261E+00-0.779495787E+00-0.780636822E+00-0.781800389E+00 --0.782986408E+00-0.784194880E+00-0.785425804E+00-0.786679155E+00-0.787949545E+00 --0.789237039E+00-0.790541650E+00-0.791863378E+00-0.793200989E+00-0.794551532E+00 --0.795914838E+00-0.797291146E+00-0.798679264E+00-0.800079567E+00-0.801492578E+00 --0.802917505E+00-0.804354347E+00-0.805803104E+00-0.807263552E+00-0.808736174E+00 --0.810220992E+00-0.811717462E+00-0.813225584E+00-0.814745347E+00-0.816277029E+00 --0.817820947E+00-0.819376988E+00-0.820944377E+00-0.822523314E+00-0.824114410E+00 --0.825717573E+00-0.827331916E+00-0.828958610E+00-0.830597222E+00-0.832247938E+00 --0.833910714E+00-0.835585187E+00-0.837271362E+00-0.838970212E+00-0.840680856E+00 --0.842403437E+00-0.844138625E+00-0.845885683E+00-0.847645041E+00-0.849417355E+00 --0.851201891E+00-0.852998648E+00-0.854807627E+00-0.856628937E+00-0.858463180E+00 --0.860310392E+00-0.862170490E+00-0.864043120E+00-0.865928596E+00-0.867827298E+00 --0.869738946E+00-0.871663672E+00-0.873601544E+00-0.875552562E+00-0.877516748E+00 --0.879494724E+00-0.881486493E+00-0.883492054E+00-0.885510864E+00-0.887543510E+00 --0.889590249E+00-0.891651001E+00-0.893725836E+00-0.895814790E+00-0.897917979E+00 --0.900035753E+00-0.902167868E+00-0.904314514E+00-0.906475889E+00-0.908652275E+00 --0.910843777E+00-0.913050394E+00-0.915272127E+00-0.917508975E+00-0.919760802E+00 --0.922028725E+00-0.924312401E+00-0.926611828E+00-0.928927006E+00-0.931257937E+00 --0.933604619E+00-0.935969148E+00-0.938348536E+00-0.940744486E+00-0.943156999E+00 --0.945586076E+00-0.948031716E+00-0.950493918E+00-0.952972743E+00-0.955469455E+00 --0.957984449E+00-0.960517726E+00-0.963069285E+00-0.965639126E+00-0.968227249E+00 --0.970833655E+00-0.973458342E+00-0.976101312E+00-0.978762564E+00-0.981442099E+00 --0.984139915E+00-0.986856014E+00-0.989590395E+00-0.992336175E+00-0.995096786E+00 --0.997879717E+00-0.100068497E+01-0.100351254E+01-0.100636244E+01-0.100923465E+01 --0.101212918E+01-0.101504604E+01-0.101798522E+01-0.102094671E+01-0.102393053E+01 --0.868494226E+00-0.868315632E+00-0.868116447E+00-0.867896669E+00-0.867656301E+00 --0.867395340E+00-0.867113788E+00-0.866811644E+00-0.866488909E+00-0.866145582E+00 --0.865781664E+00-0.865396309E+00-0.864992543E+00-0.864569721E+00-0.864127829E+00 --0.863667608E+00-0.863189389E+00-0.862693174E+00-0.862178672E+00-0.861645767E+00 --0.861096509E+00-0.860529007E+00-0.859944391E+00-0.859343140E+00-0.858725254E+00 --0.858090733E+00-0.857440681E+00-0.856775471E+00-0.856093793E+00-0.855396838E+00 --0.854684659E+00-0.853957995E+00-0.853217037E+00-0.852461717E+00-0.851692442E+00 --0.850909383E+00-0.850112716E+00-0.849302425E+00-0.848478509E+00-0.847641450E+00 --0.846792558E+00-0.845931870E+00-0.845059385E+00-0.844174983E+00-0.843278454E+00 --0.842369945E+00-0.841450718E+00-0.840521056E+00-0.839580959E+00-0.838630523E+00 --0.837669261E+00-0.836698506E+00-0.835718617E+00-0.834729540E+00-0.833731457E+00 --0.832724839E+00-0.831709662E+00-0.830686082E+00-0.829654118E+00-0.828613993E+00 --0.827567138E+00-0.826513703E+00-0.825453594E+00-0.824386302E+00-0.823312220E+00 --0.822232696E+00-0.821147801E+00-0.820057599E+00-0.818962431E+00-0.817862415E+00 --0.816758045E+00-0.815649287E+00-0.814537032E+00-0.813420613E+00-0.812300541E+00 --0.811177734E+00-0.810052435E+00-0.808926424E+00-0.807798633E+00-0.806668211E+00 --0.805537177E+00-0.804405530E+00-0.803273749E+00-0.802141190E+00-0.801008970E+00 --0.799877088E+00-0.798746076E+00-0.797617726E+00-0.796489208E+00-0.795363956E+00 --0.794242060E+00-0.793122714E+00-0.792006205E+00-0.790895752E+00-0.789791664E+00 --0.788693935E+00-0.787602293E+00-0.786516688E+00-0.785440275E+00-0.784373767E+00 --0.783317156E+00-0.782270442E+00-0.781234262E+00-0.780211041E+00-0.779202179E+00 --0.778207748E+00-0.777227750E+00-0.776262183E+00-0.775311212E+00-0.774377835E+00 --0.773463109E+00-0.772567034E+00-0.771689609E+00-0.770830836E+00-0.769991658E+00 --0.769174356E+00-0.768378852E+00-0.767605865E+00-0.766855416E+00-0.766128868E+00 --0.765428531E+00-0.764753841E+00-0.764104454E+00-0.763480370E+00-0.762881848E+00 --0.762311233E+00-0.761768631E+00-0.761254078E+00-0.760769095E+00-0.760314105E+00 --0.759889107E+00-0.759494100E+00-0.759129151E+00-0.758796497E+00-0.758495910E+00 --0.758227748E+00-0.757992014E+00-0.757788662E+00-0.757618555E+00-0.757482422E+00 --0.757380261E+00-0.757311924E+00-0.757278406E+00-0.757279893E+00-0.757316379E+00 --0.757387863E+00-0.757494541E+00-0.757637473E+00-0.757816778E+00-0.758031942E+00 --0.758282423E+00-0.758568319E+00-0.758890694E+00-0.759249834E+00-0.759645087E+00 --0.760076302E+00-0.760543478E+00-0.761046560E+00-0.761585327E+00-0.762159406E+00 --0.762768919E+00-0.763413868E+00-0.764093980E+00-0.764808485E+00-0.765557338E+00 --0.766340712E+00-0.767157154E+00-0.768005463E+00-0.768885888E+00-0.769798773E+00 --0.770744272E+00-0.771721230E+00-0.772727643E+00-0.773763131E+00-0.774827697E+00 --0.775921121E+00-0.777040860E+00-0.778186743E+00-0.779358786E+00-0.780555377E+00 --0.781774362E+00-0.783015900E+00-0.784279607E+00-0.785565429E+00-0.786870492E+00 --0.788192639E+00-0.789531757E+00-0.790887958E+00-0.792260648E+00-0.793646393E+00 --0.795044991E+00-0.796456442E+00-0.797880182E+00-0.799315072E+00-0.800761413E+00 --0.802219668E+00-0.803689838E+00-0.805171923E+00-0.806664610E+00-0.808169392E+00 --0.809685694E+00-0.811213389E+00-0.812752522E+00-0.814303297E+00-0.815865186E+00 --0.817439061E+00-0.819024291E+00-0.820620870E+00-0.822228799E+00-0.823848076E+00 --0.825479295E+00-0.827121397E+00-0.828775305E+00-0.830441430E+00-0.832119201E+00 --0.833808617E+00-0.835509678E+00-0.837222390E+00-0.838946880E+00-0.840683164E+00 --0.842431242E+00-0.844191114E+00-0.845962872E+00-0.847746836E+00-0.849543033E+00 --0.851351451E+00-0.853172090E+00-0.855004952E+00-0.856850035E+00-0.858707519E+00 --0.860577629E+00-0.862460236E+00-0.864355338E+00-0.866262937E+00-0.868183270E+00 --0.870116565E+00-0.872062821E+00-0.874022038E+00-0.875994557E+00-0.877980259E+00 --0.879979164E+00-0.881991554E+00-0.884017241E+00-0.886056224E+00-0.888108641E+00 --0.890175043E+00-0.892255471E+00-0.894349868E+00-0.896457927E+00-0.898580081E+00 --0.900716553E+00-0.902867306E+00-0.905032097E+00-0.907211548E+00-0.909405960E+00 --0.911615336E+00-0.913839673E+00-0.916079044E+00-0.918332794E+00-0.920600940E+00 --0.922884999E+00-0.925184810E+00-0.927500372E+00-0.929831686E+00-0.932178752E+00 --0.934543034E+00-0.936926658E+00-0.939323519E+00-0.941734315E+00-0.944161675E+00 --0.946605598E+00-0.949066084E+00-0.951543132E+00-0.954036097E+00-0.956546020E+00 --0.959074225E+00-0.961620712E+00-0.964185482E+00-0.966768534E+00-0.969369868E+00 --0.971989484E+00-0.974627382E+00-0.977283563E+00-0.979958026E+00-0.982650771E+00 --0.985361798E+00-0.988089865E+00-0.990833912E+00-0.993611096E+00-0.996383801E+00 --0.999175326E+00-0.100198917E+01-0.100482534E+01-0.100768383E+01-0.101056463E+01 --0.101346776E+01-0.101639321E+01-0.101934098E+01-0.102231107E+01-0.102530348E+01 --0.866302609E+00-0.866121307E+00-0.865919413E+00-0.865696927E+00-0.865453850E+00 --0.865190181E+00-0.864905921E+00-0.864601068E+00-0.864278278E+00-0.863938564E+00 --0.863580161E+00-0.863198999E+00-0.862797966E+00-0.862378386E+00-0.861940233E+00 --0.861483834E+00-0.861009035E+00-0.860515835E+00-0.860004235E+00-0.859474636E+00 --0.858928326E+00-0.858365166E+00-0.857784987E+00-0.857188108E+00-0.856574594E+00 --0.855944528E+00-0.855298635E+00-0.854637071E+00-0.853960029E+00-0.853267860E+00 --0.852559878E+00-0.851837382E+00-0.851100593E+00-0.850349119E+00-0.849583983E+00 --0.848804318E+00-0.848011364E+00-0.847205105E+00-0.846385294E+00-0.845552216E+00 --0.844706936E+00-0.843849381E+00-0.842979710E+00-0.842097923E+00-0.841204021E+00 --0.840298003E+00-0.839381512E+00-0.838454357E+00-0.837516188E+00-0.836567140E+00 --0.835607197E+00-0.834637514E+00-0.833658695E+00-0.832670742E+00-0.831673378E+00 --0.830666276E+00-0.829650883E+00-0.828627342E+00-0.827595651E+00-0.826555562E+00 --0.825507868E+00-0.824453177E+00-0.823391282E+00-0.822322183E+00-0.821245947E+00 --0.820163854E+00-0.819076389E+00-0.817983553E+00-0.816885345E+00-0.815782084E+00 --0.814673507E+00-0.813560335E+00-0.812443023E+00-0.811323368E+00-0.810198464E+00 --0.809070824E+00-0.807940450E+00-0.806808177E+00-0.805673812E+00-0.804537156E+00 --0.803399623E+00-0.802260362E+00-0.801119641E+00-0.799980005E+00-0.798838935E+00 --0.797698810E+00-0.796559629E+00-0.795420701E+00-0.794283131E+00-0.793148668E+00 --0.792017312E+00-0.790889062E+00-0.789764210E+00-0.788645273E+00-0.787532695E+00 --0.786426477E+00-0.785327518E+00-0.784236947E+00-0.783154806E+00-0.782082248E+00 --0.781019587E+00-0.779967673E+00-0.778928336E+00-0.777901707E+00-0.776889079E+00 --0.775890883E+00-0.774907118E+00-0.773938474E+00-0.772987112E+00-0.772052881E+00 --0.771137313E+00-0.770240620E+00-0.769362802E+00-0.768503924E+00-0.767666857E+00 --0.766852236E+00-0.766060193E+00-0.765290729E+00-0.764543810E+00-0.763821060E+00 --0.763124503E+00-0.762454137E+00-0.761809963E+00-0.761191770E+00-0.760599162E+00 --0.760034613E+00-0.759497761E+00-0.758990901E+00-0.758514252E+00-0.758067689E+00 --0.757651113E+00-0.757264524E+00-0.756908373E+00-0.756585365E+00-0.756295385E+00 --0.756037990E+00-0.755813157E+00-0.755620869E+00-0.755462925E+00-0.755339154E+00 --0.755249475E+00-0.755194662E+00-0.755176071E+00-0.755192742E+00-0.755244297E+00 --0.755330622E+00-0.755452814E+00-0.755611378E+00-0.755806314E+00-0.756037622E+00 --0.756305344E+00-0.756609441E+00-0.756950320E+00-0.757327981E+00-0.757742261E+00 --0.758192335E+00-0.758678369E+00-0.759200862E+00-0.759760256E+00-0.760355917E+00 --0.760987510E+00-0.761655037E+00-0.762358374E+00-0.763096069E+00-0.763868142E+00 --0.764674592E+00-0.765515589E+00-0.766390844E+00-0.767298294E+00-0.768238008E+00 --0.769210080E+00-0.770213356E+00-0.771247839E+00-0.772312794E+00-0.773406645E+00 --0.774529733E+00-0.775679495E+00-0.776855294E+00-0.778056945E+00-0.779284486E+00 --0.780537337E+00-0.781812198E+00-0.783108862E+00-0.784427642E+00-0.785767195E+00 --0.787123635E+00-0.788497353E+00-0.789888470E+00-0.791296232E+00-0.792717179E+00 --0.794151075E+00-0.795597585E+00-0.797055659E+00-0.798525298E+00-0.800006053E+00 --0.801497909E+00-0.803001680E+00-0.804516485E+00-0.806041841E+00-0.807578012E+00 --0.809125626E+00-0.810684631E+00-0.812255029E+00-0.813836776E+00-0.815428799E+00 --0.817031724E+00-0.818646034E+00-0.820271690E+00-0.821908694E+00-0.823557044E+00 --0.825216652E+00-0.826886866E+00-0.828568480E+00-0.830261557E+00-0.831966098E+00 --0.833682105E+00-0.835409215E+00-0.837147857E+00-0.838898212E+00-0.840660073E+00 --0.842433439E+00-0.844218474E+00-0.846015329E+00-0.847823607E+00-0.849643605E+00 --0.851475825E+00-0.853320269E+00-0.855176838E+00-0.857045109E+00-0.858925260E+00 --0.860817861E+00-0.862722906E+00-0.864640396E+00-0.866570350E+00-0.868512597E+00 --0.870467511E+00-0.872435239E+00-0.874415764E+00-0.876409087E+00-0.878415582E+00 --0.880435029E+00-0.882467429E+00-0.884513181E+00-0.886572284E+00-0.888644773E+00 --0.890730874E+00-0.892830637E+00-0.894944071E+00-0.897071177E+00-0.899212140E+00 --0.901367341E+00-0.903536522E+00-0.905719303E+00-0.907916556E+00-0.910128773E+00 --0.912356418E+00-0.914598550E+00-0.916854850E+00-0.919125316E+00-0.921410008E+00 --0.923710202E+00-0.926026148E+00-0.928357846E+00-0.930705296E+00-0.933068497E+00 --0.935450982E+00-0.937848642E+00-0.940261246E+00-0.942687920E+00-0.945130126E+00 --0.947588895E+00-0.950064227E+00-0.952556122E+00-0.955063311E+00-0.957586444E+00 --0.960127860E+00-0.962687558E+00-0.965265538E+00-0.967861800E+00-0.970476345E+00 --0.973109172E+00-0.975760281E+00-0.978429672E+00-0.981117346E+00-0.983822710E+00 --0.986544138E+00-0.989282202E+00-0.992041286E+00-0.994827242E+00-0.997626778E+00 --0.100042690E+01-0.100324934E+01-0.100609410E+01-0.100896118E+01-0.101185058E+01 --0.101476230E+01-0.101769635E+01-0.102065271E+01-0.102363139E+01-0.102663240E+01 --0.864176596E+00-0.863992585E+00-0.863787983E+00-0.863562789E+00-0.863317003E+00 --0.863050781E+00-0.862765534E+00-0.862461598E+00-0.862138973E+00-0.861797659E+00 --0.861437657E+00-0.861057442E+00-0.860658174E+00-0.860240560E+00-0.859804110E+00 --0.859349107E+00-0.858876708E+00-0.858386412E+00-0.857877716E+00-0.857351075E+00 --0.856807559E+00-0.856247193E+00-0.855669978E+00-0.855077207E+00-0.854467220E+00 --0.853840392E+00-0.853197893E+00-0.852539724E+00-0.851865884E+00-0.851176954E+00 --0.850473042E+00-0.849754180E+00-0.849020349E+00-0.848271851E+00-0.847509794E+00 --0.846732982E+00-0.845942445E+00-0.845138620E+00-0.844321507E+00-0.843491717E+00 --0.842649271E+00-0.841793634E+00-0.840925716E+00-0.840045796E+00-0.839153873E+00 --0.838250144E+00-0.837334856E+00-0.836408299E+00-0.835471146E+00-0.834523395E+00 --0.833564778E+00-0.832596774E+00-0.831618636E+00-0.830630364E+00-0.829631958E+00 --0.828623534E+00-0.827606534E+00-0.826581385E+00-0.825548087E+00-0.824507001E+00 --0.823458560E+00-0.822401133E+00-0.821336431E+00-0.820264929E+00-0.819186693E+00 --0.818102374E+00-0.817011858E+00-0.815915233E+00-0.814812501E+00-0.813703660E+00 --0.812589772E+00-0.811471724E+00-0.810349513E+00-0.809223772E+00-0.808093924E+00 --0.806960680E+00-0.805824166E+00-0.804684383E+00-0.803542893E+00-0.802398672E+00 --0.801252443E+00-0.800104485E+00-0.798954798E+00-0.797804738E+00-0.796655194E+00 --0.795505668E+00-0.794356593E+00-0.793208011E+00-0.792061512E+00-0.790918403E+00 --0.789778412E+00-0.788641528E+00-0.787508139E+00-0.786380712E+00-0.785259549E+00 --0.784145673E+00-0.783040178E+00-0.781943062E+00-0.780854326E+00-0.779774665E+00 --0.778707048E+00-0.777652058E+00-0.776609696E+00-0.775579963E+00-0.774563563E+00 --0.773561601E+00-0.772574848E+00-0.771605297E+00-0.770652981E+00-0.769717941E+00 --0.768801286E+00-0.767903651E+00-0.767026331E+00-0.766169546E+00-0.765334235E+00 --0.764522244E+00-0.763733550E+00-0.762967609E+00-0.762224230E+00-0.761505278E+00 --0.760812517E+00-0.760145949E+00-0.759505573E+00-0.758891559E+00-0.758304542E+00 --0.757746578E+00-0.757218411E+00-0.756720544E+00-0.756252735E+00-0.755814914E+00 --0.755407080E+00-0.755029232E+00-0.754683378E+00-0.754370673E+00-0.754090993E+00 --0.753844009E+00-0.753629549E+00-0.753449024E+00-0.753303290E+00-0.753192429E+00 --0.753115659E+00-0.753073699E+00-0.753067555E+00-0.753097197E+00-0.753162207E+00 --0.753263873E+00-0.753401965E+00-0.753576464E+00-0.753787371E+00-0.754034686E+00 --0.754318791E+00-0.754640069E+00-0.754998417E+00-0.755393834E+00-0.755826323E+00 --0.756296557E+00-0.756802971E+00-0.757346209E+00-0.757926284E+00-0.758542551E+00 --0.759194750E+00-0.759883370E+00-0.760608605E+00-0.761370112E+00-0.762166091E+00 --0.762996486E+00-0.763861633E+00-0.764761670E+00-0.765695738E+00-0.766662361E+00 --0.767660579E+00-0.768690002E+00-0.769750631E+00-0.770842465E+00-0.771965505E+00 --0.773118640E+00-0.774298639E+00-0.775504652E+00-0.776736677E+00-0.777994717E+00 --0.779278769E+00-0.780586339E+00-0.781915692E+00-0.783266886E+00-0.784639254E+00 --0.786030253E+00-0.787438888E+00-0.788864921E+00-0.790307742E+00-0.791764378E+00 --0.793233656E+00-0.794714499E+00-0.796206905E+00-0.797710875E+00-0.799226409E+00 --0.800753169E+00-0.802290245E+00-0.803837884E+00-0.805396085E+00-0.806964795E+00 --0.808543720E+00-0.810134036E+00-0.811735776E+00-0.813348097E+00-0.814970476E+00 --0.816602912E+00-0.818246221E+00-0.819900883E+00-0.821566891E+00-0.823244098E+00 --0.824931766E+00-0.826629818E+00-0.828338380E+00-0.830058329E+00-0.831789742E+00 --0.833532549E+00-0.835286247E+00-0.837050871E+00-0.838826513E+00-0.840613636E+00 --0.842412265E+00-0.844222190E+00-0.846043520E+00-0.847876298E+00-0.849720523E+00 --0.851576484E+00-0.853444447E+00-0.855324091E+00-0.857215418E+00-0.859118410E+00 --0.861033341E+00-0.862960716E+00-0.864900541E+00-0.866852472E+00-0.868816383E+00 --0.870792391E+00-0.872781115E+00-0.874782635E+00-0.876796959E+00-0.878824022E+00 --0.880863735E+00-0.882916112E+00-0.884981655E+00-0.887060550E+00-0.889152484E+00 --0.891257812E+00-0.893376761E+00-0.895509204E+00-0.897654741E+00-0.899814346E+00 --0.901988068E+00-0.904175577E+00-0.906376370E+00-0.908592408E+00-0.910822924E+00 --0.913067607E+00-0.915326457E+00-0.917599473E+00-0.919886656E+00-0.922188005E+00 --0.924504335E+00-0.926836416E+00-0.929184249E+00-0.931547834E+00-0.933928622E+00 --0.936325372E+00-0.938737066E+00-0.941163706E+00-0.943605290E+00-0.946062352E+00 --0.948535967E+00-0.951026145E+00-0.953532886E+00-0.956054383E+00-0.958590727E+00 --0.961145354E+00-0.963718262E+00-0.966309453E+00-0.968918926E+00-0.971546681E+00 --0.974192719E+00-0.976857038E+00-0.979539473E+00-0.982238281E+00-0.984953725E+00 --0.987685807E+00-0.990434527E+00-0.993207370E+00-0.996001795E+00-0.998813941E+00 --0.100163443E+01-0.100446546E+01-0.100731882E+01-0.101019449E+01-0.101309249E+01 --0.101601280E+01-0.101895544E+01-0.102192040E+01-0.102490768E+01-0.102791728E+01 --0.862116187E+00-0.861929467E+00-0.861720860E+00-0.861490080E+00-0.861240611E+00 --0.860972453E+00-0.860685606E+00-0.860380070E+00-0.860055845E+00-0.859712931E+00 --0.859351328E+00-0.858972061E+00-0.858573257E+00-0.858155735E+00-0.857719714E+00 --0.857265794E+00-0.856794384E+00-0.856305485E+00-0.855799239E+00-0.855275220E+00 --0.854734223E+00-0.854176245E+00-0.853601287E+00-0.853009844E+00-0.852401957E+00 --0.851777982E+00-0.851138067E+00-0.850482213E+00-0.849811135E+00-0.849124479E+00 --0.848422844E+00-0.847706618E+00-0.846975502E+00-0.846229606E+00-0.845469332E+00 --0.844694688E+00-0.843906537E+00-0.843105129E+00-0.842289763E+00-0.841461272E+00 --0.840620084E+00-0.839766201E+00-0.838899621E+00-0.838020979E+00-0.837130361E+00 --0.836227613E+00-0.835312741E+00-0.834386268E+00-0.833449179E+00-0.832501697E+00 --0.831543661E+00-0.830574920E+00-0.829595701E+00-0.828606356E+00-0.827606878E+00 --0.826597265E+00-0.825578646E+00-0.824551889E+00-0.823516902E+00-0.822473216E+00 --0.821421114E+00-0.820360598E+00-0.819292581E+00-0.818217792E+00-0.817135643E+00 --0.816046836E+00-0.814951633E+00-0.813850032E+00-0.812742351E+00-0.811628639E+00 --0.810509090E+00-0.809385289E+00-0.808257009E+00-0.807124319E+00-0.805987427E+00 --0.804846334E+00-0.803701859E+00-0.802554290E+00-0.801403514E+00-0.800250359E+00 --0.799095097E+00-0.797938443E+00-0.796780059E+00-0.795619771E+00-0.794459610E+00 --0.793299942E+00-0.792140770E+00-0.790982545E+00-0.789826802E+00-0.788674415E+00 --0.787525629E+00-0.786380110E+00-0.785237986E+00-0.784101522E+00-0.782972722E+00 --0.781852301E+00-0.780740261E+00-0.779636485E+00-0.778540948E+00-0.777455854E+00 --0.776383875E+00-0.775324789E+00-0.774278597E+00-0.773245583E+00-0.772225629E+00 --0.771220726E+00-0.770232986E+00-0.769262535E+00-0.768309347E+00-0.767373293E+00 --0.766456835E+00-0.765561136E+00-0.764685972E+00-0.763831345E+00-0.762997784E+00 --0.762187508E+00-0.761400555E+00-0.760636927E+00-0.759896675E+00-0.759181969E+00 --0.758494016E+00-0.757832792E+00-0.757198296E+00-0.756590530E+00-0.756010228E+00 --0.755459899E+00-0.754939303E+00-0.754448567E+00-0.753988150E+00-0.753558053E+00 --0.753158276E+00-0.752789613E+00-0.752454146E+00-0.752151748E+00-0.751882417E+00 --0.751646124E+00-0.751443183E+00-0.751275034E+00-0.751141633E+00-0.751043129E+00 --0.750979248E+00-0.750949763E+00-0.750956217E+00-0.750999005E+00-0.751078066E+00 --0.751194026E+00-0.751347231E+00-0.751537650E+00-0.751764692E+00-0.752028141E+00 --0.752328963E+00-0.752666938E+00-0.753042001E+00-0.753454670E+00-0.753904970E+00 --0.754393276E+00-0.754919405E+00-0.755483182E+00-0.756083939E+00-0.756720777E+00 --0.757393981E+00-0.758103799E+00-0.758850232E+00-0.759633279E+00-0.760452503E+00 --0.761306609E+00-0.762195511E+00-0.763119225E+00-0.764078247E+00-0.765071313E+00 --0.766095806E+00-0.767151849E+00-0.768239442E+00-0.769358585E+00-0.770509278E+00 --0.771691250E+00-0.772900725E+00-0.774136803E+00-0.775399347E+00-0.776687884E+00 --0.778002434E+00-0.779342827E+00-0.780704718E+00-0.782088800E+00-0.783493057E+00 --0.784915831E+00-0.786357123E+00-0.787816962E+00-0.789295799E+00-0.790787986E+00 --0.792291808E+00-0.793807337E+00-0.795334573E+00-0.796873516E+00-0.798424166E+00 --0.799985450E+00-0.801556135E+00-0.803136647E+00-0.804727341E+00-0.806328950E+00 --0.807939976E+00-0.809561936E+00-0.811194556E+00-0.812837233E+00-0.814489967E+00 --0.816152759E+00-0.817825614E+00-0.819509281E+00-0.821204073E+00-0.822909270E+00 --0.824624852E+00-0.826350818E+00-0.828087168E+00-0.829834070E+00-0.831592354E+00 --0.833361120E+00-0.835140753E+00-0.836931312E+00-0.838732798E+00-0.840545036E+00 --0.842368196E+00-0.844202737E+00-0.846048342E+00-0.847905187E+00-0.849773273E+00 --0.851652758E+00-0.853543951E+00-0.855446737E+00-0.857361117E+00-0.859287091E+00 --0.861224682E+00-0.863174207E+00-0.865135713E+00-0.867109201E+00-0.869094670E+00 --0.871092120E+00-0.873101671E+00-0.875124186E+00-0.877158801E+00-0.879206000E+00 --0.881265850E+00-0.883338351E+00-0.885423502E+00-0.887521907E+00-0.889632885E+00 --0.891757511E+00-0.893895262E+00-0.896046139E+00-0.898210142E+00-0.900387713E+00 --0.902579295E+00-0.904784757E+00-0.907005013E+00-0.909238981E+00-0.911486214E+00 --0.913747614E+00-0.916023180E+00-0.918312913E+00-0.920616812E+00-0.922934878E+00 --0.925267396E+00-0.927615613E+00-0.929979582E+00-0.932359578E+00-0.934755418E+00 --0.937166202E+00-0.939591932E+00-0.942032606E+00-0.944488226E+00-0.946958790E+00 --0.949446815E+00-0.951951839E+00-0.954473426E+00-0.957009314E+00-0.959558869E+00 --0.962126706E+00-0.964712825E+00-0.967317226E+00-0.969939910E+00-0.972580876E+00 --0.975240124E+00-0.977916341E+00-0.980609166E+00-0.983318628E+00-0.986044727E+00 --0.988787463E+00-0.991546837E+00-0.994331861E+00-0.997134755E+00-0.999955370E+00 --0.100279371E+01-0.100563755E+01-0.100849950E+01-0.101138377E+01-0.101429036E+01 --0.101721927E+01-0.102017050E+01-0.102314405E+01-0.102613992E+01-0.102915812E+01 --0.860112202E+00-0.859917200E+00-0.859703509E+00-0.859471128E+00-0.859220059E+00 --0.858950301E+00-0.858661853E+00-0.858354717E+00-0.858028818E+00-0.857684107E+00 --0.857320582E+00-0.856939125E+00-0.856539967E+00-0.856122419E+00-0.855686825E+00 --0.855233988E+00-0.854763392E+00-0.854274970E+00-0.853769187E+00-0.853246661E+00 --0.852706713E+00-0.852149786E+00-0.851575878E+00-0.850985685E+00-0.850379809E+00 --0.849757779E+00-0.849119802E+00-0.848465924E+00-0.847796238E+00-0.847110862E+00 --0.846410700E+00-0.845695931E+00-0.844966456E+00-0.844221886E+00-0.843463306E+00 --0.842690445E+00-0.841903639E+00-0.841103465E+00-0.840288928E+00-0.839461731E+00 --0.838621673E+00-0.837768324E+00-0.836901687E+00-0.836022497E+00-0.835131796E+00 --0.834229304E+00-0.833314954E+00-0.832388503E+00-0.831450622E+00-0.830501779E+00 --0.829542231E+00-0.828571976E+00-0.827591016E+00-0.826599350E+00-0.825598138E+00 --0.824587453E+00-0.823567218E+00-0.822538699E+00-0.821499767E+00-0.820452420E+00 --0.819396658E+00-0.818332482E+00-0.817259999E+00-0.816180660E+00-0.815093004E+00 --0.813998952E+00-0.812898503E+00-0.811791657E+00-0.810678414E+00-0.809558774E+00 --0.808432524E+00-0.807300605E+00-0.806164241E+00-0.805023814E+00-0.803879187E+00 --0.802730358E+00-0.801577327E+00-0.800420096E+00-0.799259796E+00-0.798096627E+00 --0.796931297E+00-0.795763806E+00-0.794595155E+00-0.793425320E+00-0.792254542E+00 --0.791084008E+00-0.789914012E+00-0.788745236E+00-0.787579861E+00-0.786417927E+00 --0.785259439E+00-0.784104494E+00-0.782953075E+00-0.781810362E+00-0.780675887E+00 --0.779549650E+00-0.778431651E+00-0.777321889E+00-0.776220665E+00-0.775131378E+00 --0.774054984E+00-0.772991469E+00-0.771940866E+00-0.770903224E+00-0.769880786E+00 --0.768875608E+00-0.767887463E+00-0.766916440E+00-0.765962552E+00-0.765026293E+00 --0.764110592E+00-0.763215796E+00-0.762341908E+00-0.761489323E+00-0.760657539E+00 --0.759849209E+00-0.759065095E+00-0.758305131E+00-0.757569321E+00-0.756859569E+00 --0.756177338E+00-0.755522369E+00-0.754894130E+00-0.754292618E+00-0.753719148E+00 --0.753175754E+00-0.752662440E+00-0.752179101E+00-0.751725796E+00-0.751302831E+00 --0.750911916E+00-0.750553259E+00-0.750227310E+00-0.749934489E+00-0.749674736E+00 --0.749448495E+00-0.749256993E+00-0.749100293E+00-0.748978461E+00-0.748891598E+00 --0.748839936E+00-0.748824496E+00-0.748845318E+00-0.748902401E+00-0.748995747E+00 --0.749125743E+00-0.749292981E+00-0.749497465E+00-0.749739195E+00-0.750018484E+00 --0.750335988E+00-0.750691380E+00-0.751084402E+00-0.751515055E+00-0.751983338E+00 --0.752489402E+00-0.753033165E+00-0.753614485E+00-0.754234029E+00-0.754891783E+00 --0.755586436E+00-0.756317688E+00-0.757085539E+00-0.757889898E+00-0.758730769E+00 --0.759608097E+00-0.760520377E+00-0.761467494E+00-0.762450042E+00-0.763468026E+00 --0.764518865E+00-0.765601764E+00-0.766716808E+00-0.767863516E+00-0.769041773E+00 --0.770252057E+00-0.771490227E+00-0.772755001E+00-0.774046377E+00-0.775364355E+00 --0.776708936E+00-0.778080098E+00-0.779476204E+00-0.780893255E+00-0.782329080E+00 --0.783784047E+00-0.785258319E+00-0.786751852E+00-0.788263107E+00-0.789790355E+00 --0.791329854E+00-0.792880868E+00-0.794443465E+00-0.796017770E+00-0.797603782E+00 --0.799198041E+00-0.800802078E+00-0.802415942E+00-0.804039631E+00-0.805672711E+00 --0.807315666E+00-0.808968535E+00-0.810631464E+00-0.812304454E+00-0.813987504E+00 --0.815680614E+00-0.817383786E+00-0.819096962E+00-0.820819646E+00-0.822552678E+00 --0.824296104E+00-0.826049925E+00-0.827814140E+00-0.829588750E+00-0.831373525E+00 --0.833168505E+00-0.834974093E+00-0.836790290E+00-0.838617096E+00-0.840454510E+00 --0.842302785E+00-0.844162125E+00-0.846031810E+00-0.847912524E+00-0.849804478E+00 --0.851707386E+00-0.853621525E+00-0.855547257E+00-0.857484585E+00-0.859433105E+00 --0.861392567E+00-0.863363415E+00-0.865346273E+00-0.867341135E+00-0.869348000E+00 --0.871366870E+00-0.873397625E+00-0.875440151E+00-0.877495003E+00-0.879562124E+00 --0.881641830E+00-0.883734122E+00-0.885839066E+00-0.887956499E+00-0.890086801E+00 --0.892230068E+00-0.894386285E+00-0.896555629E+00-0.898738098E+00-0.900933635E+00 --0.903143054E+00-0.905365822E+00-0.907602723E+00-0.909853781E+00-0.912118311E+00 --0.914396437E+00-0.916688720E+00-0.918995170E+00-0.921315786E+00-0.923650569E+00 --0.925999388E+00-0.928363740E+00-0.930743844E+00-0.933138779E+00-0.935548654E+00 --0.937973474E+00-0.940413238E+00-0.942867948E+00-0.945337602E+00-0.947822202E+00 --0.950321746E+00-0.952841308E+00-0.955377741E+00-0.957928104E+00-0.960490869E+00 --0.963071917E+00-0.965671247E+00-0.968288859E+00-0.970924753E+00-0.973578319E+00 --0.976248524E+00-0.978935366E+00-0.981638845E+00-0.984358961E+00-0.987095715E+00 --0.989849106E+00-0.992621116E+00-0.995414758E+00-0.998226121E+00-0.100105521E+01 --0.100390201E+01-0.100676561E+01-0.100963615E+01-0.101252901E+01-0.101544419E+01 --0.101838170E+01-0.102134152E+01-0.102432367E+01-0.102732813E+01-0.103035492E+01 --0.858156305E+00-0.857959470E+00-0.857743822E+00-0.857509361E+00-0.857256087E+00 --0.856984001E+00-0.856693101E+00-0.856383389E+00-0.856054864E+00-0.855707526E+00 --0.855341375E+00-0.854958244E+00-0.854557885E+00-0.854139846E+00-0.853704461E+00 --0.853251351E+00-0.852780502E+00-0.852291858E+00-0.851785866E+00-0.851263191E+00 --0.850723889E+00-0.850168011E+00-0.849595154E+00-0.849005648E+00-0.848400311E+00 --0.847779144E+00-0.847141951E+00-0.846489199E+00-0.845820638E+00-0.845136483E+00 --0.844437516E+00-0.843723417E+00-0.842994325E+00-0.842250344E+00-0.841492281E+00 --0.840720294E+00-0.839934294E+00-0.839134346E+00-0.838320565E+00-0.837493407E+00 --0.836652961E+00-0.835799225E+00-0.834932199E+00-0.834052430E+00-0.833160856E+00 --0.832257492E+00-0.831342335E+00-0.830414909E+00-0.829474686E+00-0.828523506E+00 --0.827561833E+00-0.826589667E+00-0.825607008E+00-0.824613856E+00-0.823610211E+00 --0.822595684E+00-0.821572251E+00-0.820538213E+00-0.819495780E+00-0.818444681E+00 --0.817384763E+00-0.816316027E+00-0.815238862E+00-0.814154186E+00-0.813061686E+00 --0.811961016E+00-0.810853691E+00-0.809739711E+00-0.808619077E+00-0.807491788E+00 --0.806358644E+00-0.805219935E+00-0.804075528E+00-0.802925417E+00-0.801770993E+00 --0.800612471E+00-0.799449851E+00-0.798283036E+00-0.797112502E+00-0.795938388E+00 --0.794761972E+00-0.793583673E+00-0.792403489E+00-0.791221680E+00-0.790040541E+00 --0.788860301E+00-0.787680797E+00-0.786502200E+00-0.785326589E+00-0.784154418E+00 --0.782985839E+00-0.781821861E+00-0.780664868E+00-0.779515619E+00-0.778374642E+00 --0.777241987E+00-0.776117655E+00-0.775001653E+00-0.773896370E+00-0.772803426E+00 --0.771723441E+00-0.770656417E+00-0.769602353E+00-0.768562143E+00-0.767538759E+00 --0.766532410E+00-0.765543097E+00-0.764570821E+00-0.763616079E+00-0.762680169E+00 --0.761765167E+00-0.760870983E+00-0.759997704E+00-0.759146112E+00-0.758317890E+00 --0.757514139E+00-0.756734559E+00-0.755979130E+00-0.755247912E+00-0.754543048E+00 --0.753865603E+00-0.753215577E+00-0.752593082E+00-0.751997840E+00-0.751431300E+00 --0.750894841E+00-0.750388463E+00-0.749912165E+00-0.749466490E+00-0.749053349E+00 --0.748672466E+00-0.748323840E+00-0.748007583E+00-0.747724338E+00-0.747474386E+00 --0.747258988E+00-0.747078343E+00-0.746932426E+00-0.746821359E+00-0.746745491E+00 --0.746705777E+00-0.746703029E+00-0.746737014E+00-0.746807732E+00-0.746915185E+00 --0.747059282E+00-0.747240942E+00-0.747460400E+00-0.747717654E+00-0.748012705E+00 --0.748345615E+00-0.748716892E+00-0.749126643E+00-0.749575160E+00-0.750061426E+00 --0.750585287E+00-0.751146890E+00-0.751747076E+00-0.752385524E+00-0.753062335E+00 --0.753776648E+00-0.754528460E+00-0.755317727E+00-0.756144033E+00-0.757007106E+00 --0.757907001E+00-0.758842617E+00-0.759813104E+00-0.760818872E+00-0.761860032E+00 --0.762936184E+00-0.764044809E+00-0.765185493E+00-0.766358239E+00-0.767563052E+00 --0.768800346E+00-0.770067519E+00-0.771361499E+00-0.772682287E+00-0.774029882E+00 --0.775404283E+00-0.776805201E+00-0.778230416E+00-0.779680070E+00-0.781149656E+00 --0.782638549E+00-0.784146747E+00-0.785673188E+00-0.787216744E+00-0.788777294E+00 --0.790350907E+00-0.791936578E+00-0.793534307E+00-0.795143979E+00-0.796763669E+00 --0.798391233E+00-0.800029073E+00-0.801676188E+00-0.803332557E+00-0.804998268E+00 --0.806673742E+00-0.808357890E+00-0.810051030E+00-0.811754231E+00-0.813467492E+00 --0.815190813E+00-0.816923733E+00-0.818665895E+00-0.820417375E+00-0.822178173E+00 --0.823949197E+00-0.825730728E+00-0.827522629E+00-0.829324072E+00-0.831135058E+00 --0.832955813E+00-0.834787057E+00-0.836628790E+00-0.838480975E+00-0.840343639E+00 --0.842216869E+00-0.844100446E+00-0.845994353E+00-0.847898705E+00-0.849814527E+00 --0.851740701E+00-0.853677785E+00-0.855626472E+00-0.857586138E+00-0.859556746E+00 --0.861538296E+00-0.863530788E+00-0.865534893E+00-0.867551021E+00-0.869578989E+00 --0.871618422E+00-0.873669327E+00-0.875732152E+00-0.877807165E+00-0.879894282E+00 --0.881993547E+00-0.884105385E+00-0.886229450E+00-0.888365733E+00-0.890514264E+00 --0.892675659E+00-0.894850153E+00-0.897037748E+00-0.899238607E+00-0.901452252E+00 --0.903679188E+00-0.905919241E+00-0.908172785E+00-0.910440007E+00-0.912720701E+00 --0.915014868E+00-0.917323078E+00-0.919646244E+00-0.921983577E+00-0.924335077E+00 --0.926700308E+00-0.929080796E+00-0.931475457E+00-0.933884422E+00-0.936308332E+00 --0.938747186E+00-0.941200986E+00-0.943669731E+00-0.946153420E+00-0.948652054E+00 --0.951165633E+00-0.953694552E+00-0.956245831E+00-0.958810752E+00-0.961386728E+00 --0.963980987E+00-0.966593527E+00-0.969224214E+00-0.971871799E+00-0.974536021E+00 --0.977216880E+00-0.979914377E+00-0.982628511E+00-0.985359282E+00-0.988106690E+00 --0.990870735E+00-0.993653952E+00-0.996456063E+00-0.999275895E+00-0.100211345E+01 --0.100496872E+01-0.100784172E+01-0.101072876E+01-0.101363021E+01-0.101655399E+01 --0.101950009E+01-0.102246850E+01-0.102545924E+01-0.102847230E+01-0.103150768E+01 --0.856261747E+00-0.856058999E+00-0.855838591E+00-0.855600523E+00-0.855344621E+00 --0.855069908E+00-0.854776382E+00-0.854464044E+00-0.854132892E+00-0.853782928E+00 --0.853414150E+00-0.853029345E+00-0.852627618E+00-0.852208151E+00-0.851771065E+00 --0.851316407E+00-0.850844819E+00-0.850355946E+00-0.849849668E+00-0.849326711E+00 --0.848787074E+00-0.848230921E+00-0.847658744E+00-0.847069607E+00-0.846464418E+00 --0.845843247E+00-0.845206092E+00-0.844553078E+00-0.843884538E+00-0.843200481E+00 --0.842501293E+00-0.841787327E+00-0.841058582E+00-0.840314990E+00-0.839557040E+00 --0.838784757E+00-0.837998159E+00-0.837197293E+00-0.836382756E+00-0.835554724E+00 --0.834713720E+00-0.833859596E+00-0.832991958E+00-0.832111302E+00-0.831218666E+00 --0.830313615E+00-0.829396158E+00-0.828466295E+00-0.827523960E+00-0.826569992E+00 --0.825605530E+00-0.824630576E+00-0.823645091E+00-0.822648571E+00-0.821640955E+00 --0.820622243E+00-0.819594346E+00-0.818556472E+00-0.817509047E+00-0.816452803E+00 --0.815387793E+00-0.814313687E+00-0.813230053E+00-0.812138176E+00-0.811038751E+00 --0.809931776E+00-0.808817253E+00-0.807695765E+00-0.806567669E+00-0.805431862E+00 --0.804289992E+00-0.803142424E+00-0.801989157E+00-0.800830192E+00-0.799665528E+00 --0.798495707E+00-0.797321751E+00-0.796144131E+00-0.794962845E+00-0.793777895E+00 --0.792589627E+00-0.791399579E+00-0.790207487E+00-0.789014866E+00-0.787823245E+00 --0.786632626E+00-0.785443009E+00-0.784254497E+00-0.783069307E+00-0.781888824E+00 --0.780713024E+00-0.779541881E+00-0.778377871E+00-0.777222244E+00-0.776074773E+00 --0.774935290E+00-0.773804129E+00-0.772682705E+00-0.771573845E+00-0.770477560E+00 --0.769393989E+00-0.768323503E+00-0.767265543E+00-0.766223951E+00-0.765199396E+00 --0.764191810E+00-0.763201071E+00-0.762227177E+00-0.761272795E+00-0.760338700E+00 --0.759425283E+00-0.758532771E+00-0.757661566E+00-0.756813303E+00-0.755988133E+00 --0.755187128E+00-0.754410801E+00-0.753659150E+00-0.752932457E+00-0.752232621E+00 --0.751560253E+00-0.750915355E+00-0.750297926E+00-0.749708902E+00-0.749150107E+00 --0.748621408E+00-0.748122838E+00-0.747654397E+00-0.747217066E+00-0.746812479E+00 --0.746440580E+00-0.746101369E+00-0.745794965E+00-0.745521298E+00-0.745282000E+00 --0.745077453E+00-0.744907660E+00-0.744772634E+00-0.744673456E+00-0.744610290E+00 --0.744583136E+00-0.744592480E+00-0.744638558E+00-0.744721393E+00-0.744841808E+00 --0.745000159E+00-0.745196171E+00-0.745430180E+00-0.745702418E+00-0.746012885E+00 --0.746361533E+00-0.746748390E+00-0.747173868E+00-0.747637894E+00-0.748140517E+00 --0.748682049E+00-0.749262779E+00-0.749881986E+00-0.750539455E+00-0.751235265E+00 --0.751968859E+00-0.752740337E+00-0.753549608E+00-0.754396671E+00-0.755281523E+00 --0.756203564E+00-0.757162273E+00-0.758155821E+00-0.759184651E+00-0.760248873E+00 --0.761348486E+00-0.762482683E+00-0.763649093E+00-0.764848285E+00-0.766078878E+00 --0.767340824E+00-0.768634122E+00-0.769958132E+00-0.771309402E+00-0.772687480E+00 --0.774091634E+00-0.775520818E+00-0.776975027E+00-0.778454261E+00-0.779957651E+00 --0.781480470E+00-0.783022232E+00-0.784580730E+00-0.786156584E+00-0.787749795E+00 --0.789357669E+00-0.790977454E+00-0.792609297E+00-0.794252690E+00-0.795906457E+00 --0.797568807E+00-0.799240002E+00-0.800920033E+00-0.802609259E+00-0.804307584E+00 --0.806014614E+00-0.807730333E+00-0.809454727E+00-0.811188138E+00-0.812931610E+00 --0.814684139E+00-0.816445855E+00-0.818216890E+00-0.819997227E+00-0.821786503E+00 --0.823584974E+00-0.825394485E+00-0.827213050E+00-0.829040876E+00-0.830878245E+00 --0.832725158E+00-0.834581662E+00-0.836448448E+00-0.838325722E+00-0.840213484E+00 --0.842111184E+00-0.844018549E+00-0.845936425E+00-0.847864829E+00-0.849803685E+00 --0.851752880E+00-0.853712751E+00-0.855683603E+00-0.857665355E+00-0.859657997E+00 --0.861661528E+00-0.863675948E+00-0.865701665E+00-0.867738745E+00-0.869787140E+00 --0.871847008E+00-0.873918346E+00-0.876001131E+00-0.878096038E+00-0.880202816E+00 --0.882321155E+00-0.884451886E+00-0.886594699E+00-0.888749817E+00-0.890917170E+00 --0.893096667E+00-0.895289126E+00-0.897494686E+00-0.899712415E+00-0.901943475E+00 --0.904187677E+00-0.906445014E+00-0.908715201E+00-0.910998586E+00-0.913295444E+00 --0.915605774E+00-0.917929577E+00-0.920266853E+00-0.922620185E+00-0.924988401E+00 --0.927370158E+00-0.929765450E+00-0.932173505E+00-0.934596505E+00-0.937034450E+00 --0.939487340E+00-0.941955175E+00-0.944437954E+00-0.946935679E+00-0.949448348E+00 --0.951975962E+00-0.954518521E+00-0.957077697E+00-0.959657259E+00-0.962246446E+00 --0.964854027E+00-0.967478992E+00-0.970120594E+00-0.972778833E+00-0.975453710E+00 --0.978145223E+00-0.980853374E+00-0.983578163E+00-0.986319588E+00-0.989077651E+00 --0.991852351E+00-0.994645194E+00-0.997455774E+00-0.100028407E+01-0.100313010E+01 --0.100599384E+01-0.100887530E+01-0.101177449E+01-0.101468738E+01-0.101761975E+01 --0.102057444E+01-0.102355145E+01-0.102655078E+01-0.102957244E+01-0.103261556E+01 --0.854424688E+00-0.854216313E+00-0.853990277E+00-0.853746582E+00-0.853485227E+00 --0.853206212E+00-0.852909537E+00-0.852595202E+00-0.852262902E+00-0.851910311E+00 --0.851538908E+00-0.851152131E+00-0.850747511E+00-0.850325651E+00-0.849886565E+00 --0.849430460E+00-0.848957406E+00-0.848467730E+00-0.847960605E+00-0.847436738E+00 --0.846896192E+00-0.846338966E+00-0.845765790E+00-0.845175642E+00-0.844569800E+00 --0.843948181E+00-0.843310578E+00-0.842656993E+00-0.841987675E+00-0.841303466E+00 --0.840603805E+00-0.839889356E+00-0.839159976E+00-0.838415548E+00-0.837656303E+00 --0.836882907E+00-0.836095392E+00-0.835293828E+00-0.834478118E+00-0.833648888E+00 --0.832806219E+00-0.831950110E+00-0.831080347E+00-0.830197772E+00-0.829302707E+00 --0.828395153E+00-0.827475109E+00-0.826542576E+00-0.825597643E+00-0.824641897E+00 --0.823674067E+00-0.822695066E+00-0.821704969E+00-0.820703776E+00-0.819691486E+00 --0.818668466E+00-0.817635452E+00-0.816592282E+00-0.815539649E+00-0.814477796E+00 --0.813406388E+00-0.812325452E+00-0.811234907E+00-0.810135629E+00-0.809028802E+00 --0.807914426E+00-0.806792435E+00-0.805661596E+00-0.804523823E+00-0.803379121E+00 --0.802227432E+00-0.801069688E+00-0.799905890E+00-0.798736022E+00-0.797560495E+00 --0.796379620E+00-0.795193528E+00-0.794003959E+00-0.792811206E+00-0.791615269E+00 --0.790415950E+00-0.789213473E+00-0.788009644E+00-0.786806665E+00-0.785604736E+00 --0.784403754E+00-0.783203720E+00-0.782006217E+00-0.780813557E+00-0.779625770E+00 --0.778442804E+00-0.777264497E+00-0.776093471E+00-0.774930827E+00-0.773776564E+00 --0.772630683E+00-0.771493323E+00-0.770368175E+00-0.769255574E+00-0.768155499E+00 --0.767067958E+00-0.765993833E+00-0.764935069E+00-0.763892801E+00-0.762867378E+00 --0.761858800E+00-0.760867067E+00-0.759894268E+00-0.758941317E+00-0.758008335E+00 --0.757096590E+00-0.756205693E+00-0.755337447E+00-0.754492313E+00-0.753670280E+00 --0.752872017E+00-0.752098440E+00-0.751350752E+00-0.750629649E+00-0.749935282E+00 --0.749268526E+00-0.748629238E+00-0.748017659E+00-0.747435857E+00-0.746884302E+00 --0.746363135E+00-0.745872425E+00-0.745411841E+00-0.744982650E+00-0.744586146E+00 --0.744222330E+00-0.743891204E+00-0.743593126E+00-0.743329707E+00-0.743101298E+00 --0.742907578E+00-0.742748594E+00-0.742624632E+00-0.742537188E+00-0.742486363E+00 --0.742471909E+00-0.742493424E+00-0.742551590E+00-0.742647493E+00-0.742781331E+00 --0.742953106E+00-0.743162817E+00-0.743410682E+00-0.743696885E+00-0.744021567E+00 --0.744384887E+00-0.744787254E+00-0.745229256E+00-0.745710168E+00-0.746229677E+00 --0.746788016E+00-0.747385524E+00-0.748021796E+00-0.748697021E+00-0.749411848E+00 --0.750165134E+00-0.750956242E+00-0.751785173E+00-0.752651927E+00-0.753556503E+00 --0.754498901E+00-0.755479772E+00-0.756496196E+00-0.757547946E+00-0.758635022E+00 --0.759757424E+00-0.760915949E+00-0.762109216E+00-0.763334273E+00-0.764590628E+00 --0.765878281E+00-0.767197232E+00-0.768547480E+00-0.769928789E+00-0.771336722E+00 --0.772769831E+00-0.774228036E+00-0.775711239E+00-0.777219469E+00-0.778752723E+00 --0.780309810E+00-0.781883678E+00-0.783474475E+00-0.785082629E+00-0.786708139E+00 --0.788350141E+00-0.790004309E+00-0.791670067E+00-0.793346999E+00-0.795034984E+00 --0.796730957E+00-0.798435775E+00-0.800149369E+00-0.801870719E+00-0.803600323E+00 --0.805338761E+00-0.807085877E+00-0.808841671E+00-0.810606175E+00-0.812379169E+00 --0.814161176E+00-0.815952044E+00-0.817751774E+00-0.819560364E+00-0.821377815E+00 --0.823204308E+00-0.825040446E+00-0.826885686E+00-0.828740027E+00-0.830603471E+00 --0.832476234E+00-0.834359073E+00-0.836251370E+00-0.838153698E+00-0.840066111E+00 --0.841987843E+00-0.843918940E+00-0.845860092E+00-0.847811772E+00-0.849774009E+00 --0.851746554E+00-0.853728787E+00-0.855721352E+00-0.857724807E+00-0.859739151E+00 --0.861764384E+00-0.863800591E+00-0.865847310E+00-0.867904526E+00-0.869973135E+00 --0.872053206E+00-0.874144715E+00-0.876247638E+00-0.878362074E+00-0.880488072E+00 --0.882625632E+00-0.884774977E+00-0.886936375E+00-0.889109819E+00-0.891295308E+00 --0.893493254E+00-0.895703547E+00-0.897926241E+00-0.900161273E+00-0.902409040E+00 --0.904669717E+00-0.906943267E+00-0.909229970E+00-0.911529518E+00-0.913842539E+00 --0.916169033E+00-0.918509000E+00-0.920862439E+00-0.923229351E+00-0.925610543E+00 --0.928008759E+00-0.930415905E+00-0.932837995E+00-0.935275030E+00-0.937727010E+00 --0.940193934E+00-0.942675804E+00-0.945172619E+00-0.947684378E+00-0.950211082E+00 --0.952752732E+00-0.955309326E+00-0.957880865E+00-0.960467758E+00-0.963070102E+00 --0.965689084E+00-0.968324704E+00-0.970976960E+00-0.973645854E+00-0.976331385E+00 --0.979033553E+00-0.981752359E+00-0.984487801E+00-0.987239881E+00-0.990008598E+00 --0.992793515E+00-0.995594843E+00-0.998413892E+00-0.100125066E+01-0.100410515E+01 --0.100697736E+01-0.100986730E+01-0.101277495E+01-0.101570032E+01-0.101864147E+01 --0.102160475E+01-0.102459036E+01-0.102759734E+01-0.103062341E+01-0.103366974E+01 --0.852641546E+00-0.852427543E+00-0.852195881E+00-0.851946558E+00-0.851679575E+00 --0.851394933E+00-0.851092630E+00-0.850772668E+00-0.850435045E+00-0.850080745E+00 --0.849711966E+00-0.849323112E+00-0.848916230E+00-0.848492048E+00-0.848050962E+00 --0.847593024E+00-0.847118006E+00-0.846626025E+00-0.846117158E+00-0.845591656E+00 --0.845049474E+00-0.844490878E+00-0.843916236E+00-0.843324939E+00-0.842717665E+00 --0.842094697E+00-0.841456035E+00-0.840801680E+00-0.840131631E+00-0.839445856E+00 --0.838744995E+00-0.838029206E+00-0.837298372E+00-0.836552492E+00-0.835791790E+00 --0.835017042E+00-0.834228088E+00-0.833424597E+00-0.832606604E+00-0.831774867E+00 --0.830929689E+00-0.830071212E+00-0.829199611E+00-0.828314480E+00-0.827415957E+00 --0.826504943E+00-0.825581440E+00-0.824645533E+00-0.823697907E+00-0.822737406E+00 --0.821764580E+00-0.820780716E+00-0.819785814E+00-0.818779896E+00-0.817762706E+00 --0.816734216E+00-0.815695456E+00-0.814645911E+00-0.813586364E+00-0.812517403E+00 --0.811438945E+00-0.810350991E+00-0.809253279E+00-0.808146854E+00-0.807031967E+00 --0.805908619E+00-0.804776809E+00-0.803636653E+00-0.802489190E+00-0.801334613E+00 --0.800172923E+00-0.799003936E+00-0.797827824E+00-0.796646398E+00-0.795459624E+00 --0.794267502E+00-0.793070032E+00-0.791867765E+00-0.790662312E+00-0.789453674E+00 --0.788241853E+00-0.787028075E+00-0.785814699E+00-0.784601929E+00-0.783390115E+00 --0.782179248E+00-0.780969609E+00-0.779763973E+00-0.778563050E+00-0.777366841E+00 --0.776175345E+00-0.774989709E+00-0.773811847E+00-0.772642835E+00-0.771482470E+00 --0.770330754E+00-0.769190410E+00-0.768062227E+00-0.766946334E+00-0.765842975E+00 --0.764752241E+00-0.763676586E+00-0.762617090E+00-0.761573865E+00-0.760547447E+00 --0.759537874E+00-0.758546265E+00-0.757574342E+00-0.756622107E+00-0.755689558E+00 --0.754778492E+00-0.753890264E+00-0.753025161E+00-0.752183098E+00-0.751364115E+00 --0.750569264E+00-0.749800697E+00-0.749058766E+00-0.748343420E+00-0.747654658E+00 --0.746992974E+00-0.746359245E+00-0.745754342E+00-0.745179686E+00-0.744635277E+00 --0.744121115E+00-0.743637225E+00-0.743184370E+00-0.742763491E+00-0.742375806E+00 --0.742021214E+00-0.741699715E+00-0.741411309E+00-0.741157456E+00-0.740939032E+00 --0.740755966E+00-0.740607773E+00-0.740494529E+00-0.740417642E+00-0.740377326E+00 --0.740373462E+00-0.740407077E+00-0.740478294E+00-0.740587399E+00-0.740734394E+00 --0.740919277E+00-0.741142049E+00-0.741403517E+00-0.741704491E+00-0.742044352E+00 --0.742422849E+00-0.742840142E+00-0.743296965E+00-0.743793388E+00-0.744329413E+00 --0.744904567E+00-0.745518896E+00-0.746172261E+00-0.746865106E+00-0.747597431E+00 --0.748369568E+00-0.749180022E+00-0.750028299E+00-0.750914488E+00-0.751839052E+00 --0.752801998E+00-0.753803327E+00-0.754841997E+00-0.755916028E+00-0.757025405E+00 --0.758170567E+00-0.759351599E+00-0.760568345E+00-0.761818117E+00-0.763100110E+00 --0.764414351E+00-0.765760040E+00-0.767137027E+00-0.768546122E+00-0.769981832E+00 --0.771442719E+00-0.772928781E+00-0.774440020E+00-0.775977322E+00-0.777540756E+00 --0.779128050E+00-0.780733759E+00-0.782356519E+00-0.783996617E+00-0.785654116E+00 --0.787329976E+00-0.789018401E+00-0.790717925E+00-0.792428617E+00-0.794150415E+00 --0.795880815E+00-0.797619271E+00-0.799365454E+00-0.801119364E+00-0.802880928E+00 --0.804650546E+00-0.806428842E+00-0.808215711E+00-0.810010198E+00-0.811812420E+00 --0.813623361E+00-0.815442983E+00-0.817271286E+00-0.819108271E+00-0.820953937E+00 --0.822807818E+00-0.824670540E+00-0.826542370E+00-0.828423310E+00-0.830313358E+00 --0.832212516E+00-0.834120783E+00-0.836038158E+00-0.837964684E+00-0.839901107E+00 --0.841846890E+00-0.843802035E+00-0.845766603E+00-0.847741560E+00-0.849726641E+00 --0.851721501E+00-0.853726234E+00-0.855740839E+00-0.857765996E+00-0.859802043E+00 --0.861848666E+00-0.863905635E+00-0.865972991E+00-0.868050734E+00-0.870139220E+00 --0.872239308E+00-0.874350262E+00-0.876472504E+00-0.878606248E+00-0.880751308E+00 --0.882907250E+00-0.885075965E+00-0.887255296E+00-0.889446604E+00-0.891649888E+00 --0.893865183E+00-0.896093222E+00-0.898333293E+00-0.900585636E+00-0.902850111E+00 --0.905127369E+00-0.907417311E+00-0.909719400E+00-0.912034590E+00-0.914363293E+00 --0.916705510E+00-0.919061242E+00-0.921430488E+00-0.923812662E+00-0.926207827E+00 --0.928617109E+00-0.931040063E+00-0.933476733E+00-0.935927521E+00-0.938392820E+00 --0.940872948E+00-0.943367906E+00-0.945877691E+00-0.948402306E+00-0.950941750E+00 --0.953496023E+00-0.956065124E+00-0.958649178E+00-0.961248321E+00-0.963862526E+00 --0.966491291E+00-0.969136469E+00-0.971798249E+00-0.974476630E+00-0.977171614E+00 --0.979883199E+00-0.982611386E+00-0.985357426E+00-0.988120161E+00-0.990899532E+00 --0.993693102E+00-0.996502899E+00-0.999330417E+00-0.100217566E+01-0.100503862E+01 --0.100791930E+01-0.101081770E+01-0.101373382E+01-0.101666766E+01-0.101961915E+01 --0.102259003E+01-0.102557951E+01-0.102858925E+01-0.103161926E+01-0.103466953E+01 --0.850912321E+00-0.850692691E+00-0.850455401E+00-0.850200451E+00-0.849927841E+00 --0.849637571E+00-0.849329928E+00-0.849006095E+00-0.848665671E+00-0.848308657E+00 --0.847935052E+00-0.847542780E+00-0.847132930E+00-0.846706224E+00-0.846262668E+00 --0.845801849E+00-0.845324478E+00-0.844830187E+00-0.844318932E+00-0.843791622E+00 --0.843247631E+00-0.842686990E+00-0.842110245E+00-0.841517401E+00-0.840908598E+00 --0.840283936E+00-0.839643417E+00-0.838987039E+00-0.838314804E+00-0.837627006E+00 --0.836924236E+00-0.836206505E+00-0.835473703E+00-0.834725455E+00-0.833963261E+00 --0.833186190E+00-0.832394733E+00-0.831588690E+00-0.830768111E+00-0.829933698E+00 --0.829085966E+00-0.828224120E+00-0.827348888E+00-0.826460272E+00-0.825558270E+00 --0.824643693E+00-0.823716703E+00-0.822776835E+00-0.821824145E+00-0.820858633E+00 --0.819880522E+00-0.818891159E+00-0.817890758E+00-0.816879301E+00-0.815856266E+00 --0.814821584E+00-0.813776061E+00-0.812719564E+00-0.811652600E+00-0.810576139E+00 --0.809490009E+00-0.808393036E+00-0.807287268E+00-0.806171866E+00-0.805047324E+00 --0.803914380E+00-0.802773072E+00-0.801623022E+00-0.800464929E+00-0.799299185E+00 --0.798125788E+00-0.796943770E+00-0.795755608E+00-0.794562234E+00-0.793363647E+00 --0.792159846E+00-0.790950978E+00-0.789736913E+00-0.788518193E+00-0.787296856E+00 --0.786073134E+00-0.784849617E+00-0.783626489E+00-0.782403751E+00-0.781181402E+00 --0.779960418E+00-0.778741807E+00-0.777528130E+00-0.776319263E+00-0.775115127E+00 --0.773915813E+00-0.772724327E+00-0.771541501E+00-0.770367335E+00-0.769201818E+00 --0.768045696E+00-0.766901651E+00-0.765769921E+00-0.764650559E+00-0.763543915E+00 --0.762450768E+00-0.761373713E+00-0.760312817E+00-0.759268082E+00-0.758239555E+00 --0.757229626E+00-0.756239435E+00-0.755268982E+00-0.754318267E+00-0.753387394E+00 --0.752478720E+00-0.751593059E+00-0.750730397E+00-0.749891491E+00-0.749077106E+00 --0.748287244E+00-0.747522937E+00-0.746785491E+00-0.746074909E+00-0.745391193E+00 --0.744734716E+00-0.744106950E+00-0.743509133E+00-0.742941462E+00-0.742403939E+00 --0.741896562E+00-0.741420337E+00-0.740975932E+00-0.740563970E+00-0.740185687E+00 --0.739840766E+00-0.739528939E+00-0.739250205E+00-0.739005894E+00-0.738796986E+00 --0.738623478E+00-0.738485370E+00-0.738382794E+00-0.738316901E+00-0.738287948E+00 --0.738295744E+00-0.738340871E+00-0.738424329E+00-0.738546109E+00-0.738705892E+00 --0.738903564E+00-0.739139405E+00-0.739414446E+00-0.739728780E+00-0.740082408E+00 --0.740475599E+00-0.740907781E+00-0.741379419E+00-0.741890742E+00-0.742441862E+00 --0.743032742E+00-0.743663560E+00-0.744333918E+00-0.745043818E+00-0.745793257E+00 --0.746582888E+00-0.747411755E+00-0.748279360E+00-0.749185571E+00-0.750130165E+00 --0.751113140E+00-0.752134498E+00-0.753194642E+00-0.754290671E+00-0.755422194E+00 --0.756589587E+00-0.757792852E+00-0.759031987E+00-0.760306110E+00-0.761612414E+00 --0.762950938E+00-0.764321682E+00-0.765724698E+00-0.767161786E+00-0.768624714E+00 --0.770113703E+00-0.771628756E+00-0.773169872E+00-0.774736665E+00-0.776327682E+00 --0.777942983E+00-0.779580115E+00-0.781234648E+00-0.782906322E+00-0.784595445E+00 --0.786302446E+00-0.788024160E+00-0.789756721E+00-0.791500411E+00-0.793254776E+00 --0.795019093E+00-0.796790538E+00-0.798569390E+00-0.800355805E+00-0.802150001E+00 --0.803951040E+00-0.805760733E+00-0.807577835E+00-0.809402333E+00-0.811234226E+00 --0.813073815E+00-0.814922063E+00-0.816778992E+00-0.818644527E+00-0.820517480E+00 --0.822397945E+00-0.824286998E+00-0.826185160E+00-0.828092431E+00-0.830008795E+00 --0.831933255E+00-0.833866213E+00-0.835807895E+00-0.837758961E+00-0.839719731E+00 --0.841688879E+00-0.843667653E+00-0.845656054E+00-0.847653996E+00-0.849661300E+00 --0.851678477E+00-0.853705522E+00-0.855742399E+00-0.857789107E+00-0.859845927E+00 --0.861913104E+00-0.863990711E+00-0.866078704E+00-0.868177085E+00-0.870285854E+00 --0.872405429E+00-0.874535681E+00-0.876677377E+00-0.878830001E+00-0.880993551E+00 --0.883168027E+00-0.885354542E+00-0.887552369E+00-0.889761317E+00-0.891982165E+00 --0.894214967E+00-0.896459602E+00-0.898716424E+00-0.900985506E+00-0.903266777E+00 --0.905560387E+00-0.907866366E+00-0.910184220E+00-0.912515301E+00-0.914859579E+00 --0.917216918E+00-0.919587316E+00-0.921970774E+00-0.924367292E+00-0.926776869E+00 --0.929200402E+00-0.931637600E+00-0.934088408E+00-0.936552742E+00-0.939031493E+00 --0.941524725E+00-0.944032437E+00-0.946554631E+00-0.949091339E+00-0.951643158E+00 --0.954209684E+00-0.956790285E+00-0.959385949E+00-0.961996675E+00-0.964622463E+00 --0.967263313E+00-0.969919256E+00-0.972591377E+00-0.975280099E+00-0.977985352E+00 --0.980706875E+00-0.983444655E+00-0.986198694E+00-0.988968991E+00-0.991755581E+00 --0.994557787E+00-0.997376841E+00-0.100021301E+01-0.100306605E+01-0.100593680E+01 --0.100882528E+01-0.101173148E+01-0.101465538E+01-0.101759675E+01-0.102055556E+01 --0.102353565E+01-0.102652643E+01-0.102953652E+01-0.103256711E+01-0.103561819E+01 --0.849237013E+00-0.849011755E+00-0.848768838E+00-0.848507928E+00-0.848229039E+00 --0.847933560E+00-0.847621491E+00-0.847292831E+00-0.846947582E+00-0.846585741E+00 --0.846207311E+00-0.845811620E+00-0.845398672E+00-0.844968572E+00-0.844521418E+00 --0.844057393E+00-0.843576900E+00-0.843079941E+00-0.842566516E+00-0.842036572E+00 --0.841490048E+00-0.840927296E+00-0.840348163E+00-0.839752647E+00-0.839141071E+00 --0.838513867E+00-0.837871035E+00-0.837212486E+00-0.836537823E+00-0.835848066E+00 --0.835142944E+00-0.834422456E+00-0.833686602E+00-0.832936212E+00-0.832170822E+00 --0.831390102E+00-0.830595196E+00-0.829786127E+00-0.828962896E+00-0.828125383E+00 --0.827273691E+00-0.826408215E+00-0.825529298E+00-0.824636800E+00-0.823730721E+00 --0.822811392E+00-0.821879086E+00-0.820934113E+00-0.819976359E+00-0.819005782E+00 --0.818022397E+00-0.817027535E+00-0.816021455E+00-0.815002943E+00-0.813972634E+00 --0.812930529E+00-0.811878234E+00-0.810813813E+00-0.809739471E+00-0.808654921E+00 --0.807559464E+00-0.806453100E+00-0.805337615E+00-0.804212547E+00-0.803078094E+00 --0.801934950E+00-0.800782296E+00-0.799621331E+00-0.798452057E+00-0.797274472E+00 --0.796087061E+00-0.794892063E+00-0.793691852E+00-0.792486428E+00-0.791275745E+00 --0.790059765E+00-0.788838496E+00-0.787611935E+00-0.786380084E+00-0.785145811E+00 --0.783912256E+00-0.782679005E+00-0.781446060E+00-0.780213418E+00-0.778981082E+00 --0.777751038E+00-0.776525743E+00-0.775304750E+00-0.774088459E+00-0.772876899E+00 --0.771671350E+00-0.770474357E+00-0.769285986E+00-0.768106509E+00-0.766935730E+00 --0.765775650E+00-0.764627885E+00-0.763492429E+00-0.762369244E+00-0.761259152E+00 --0.760165075E+00-0.759087221E+00-0.758025630E+00-0.756980301E+00-0.755951782E+00 --0.754942946E+00-0.753954181E+00-0.752985381E+00-0.752036326E+00-0.751107443E+00 --0.750200982E+00-0.749317480E+00-0.748458499E+00-0.747624041E+00-0.746814105E+00 --0.746028692E+00-0.745268162E+00-0.744535048E+00-0.743829180E+00-0.743151464E+00 --0.742501899E+00-0.741880743E+00-0.741289520E+00-0.740728445E+00-0.740197589E+00 --0.739698000E+00-0.739230014E+00-0.738793631E+00-0.738389686E+00-0.738019332E+00 --0.737682566E+00-0.737379387E+00-0.737109813E+00-0.736875368E+00-0.736676361E+00 --0.736512785E+00-0.736384640E+00-0.736292952E+00-0.736238693E+00-0.736221591E+00 --0.736241240E+00-0.736297837E+00-0.736392639E+00-0.736525771E+00-0.736697233E+00 --0.736907230E+00-0.737156421E+00-0.737444863E+00-0.737772554E+00-0.738139495E+00 --0.738545744E+00-0.738992209E+00-0.739479129E+00-0.740006069E+00-0.740572741E+00 --0.741179145E+00-0.741825883E+00-0.742512344E+00-0.743238387E+00-0.744004549E+00 --0.744810975E+00-0.745657629E+00-0.746543386E+00-0.747467864E+00-0.748431063E+00 --0.749432981E+00-0.750473658E+00-0.751554054E+00-0.752671468E+00-0.753824881E+00 --0.755014294E+00-0.756239707E+00-0.757501073E+00-0.758798310E+00-0.760129226E+00 --0.761492192E+00-0.762887529E+00-0.764315313E+00-0.765774694E+00-0.767263863E+00 --0.768782660E+00-0.770327520E+00-0.771898064E+00-0.773492950E+00-0.775112122E+00 --0.776755578E+00-0.778423286E+00-0.780108269E+00-0.781810654E+00-0.783530917E+00 --0.785269057E+00-0.787023488E+00-0.788788534E+00-0.790564514E+00-0.792351427E+00 --0.794148785E+00-0.795952854E+00-0.797764331E+00-0.799582913E+00-0.801408111E+00 --0.803241172E+00-0.805080935E+00-0.806928072E+00-0.808782580E+00-0.810644483E+00 --0.812513513E+00-0.814390387E+00-0.816275555E+00-0.818168305E+00-0.820068646E+00 --0.821975804E+00-0.823891419E+00-0.825815873E+00-0.827748827E+00-0.829690279E+00 --0.831640231E+00-0.833598695E+00-0.835564954E+00-0.837540013E+00-0.839524302E+00 --0.841516969E+00-0.843518725E+00-0.845530107E+00-0.847550929E+00-0.849580834E+00 --0.851619767E+00-0.853668390E+00-0.855726845E+00-0.857795180E+00-0.859872927E+00 --0.861960124E+00-0.864057771E+00-0.866165869E+00-0.868284417E+00-0.870413339E+00 --0.872552309E+00-0.874702218E+00-0.876862494E+00-0.879033652E+00-0.881215737E+00 --0.883408749E+00-0.885612831E+00-0.887828097E+00-0.890054547E+00-0.892292784E+00 --0.894543043E+00-0.896804274E+00-0.899077691E+00-0.901362854E+00-0.903660260E+00 --0.905969624E+00-0.908291276E+00-0.910625599E+00-0.912972334E+00-0.915331300E+00 --0.917703050E+00-0.920087860E+00-0.922485729E+00-0.924896659E+00-0.927320584E+00 --0.929757760E+00-0.932208544E+00-0.934672897E+00-0.937150792E+00-0.939643013E+00 --0.942148644E+00-0.944668681E+00-0.947203126E+00-0.949751976E+00-0.952315234E+00 --0.954893086E+00-0.957485353E+00-0.960092054E+00-0.962713816E+00-0.965350641E+00 --0.968002528E+00-0.970669883E+00-0.973353156E+00-0.976051613E+00-0.978765630E+00 --0.981495905E+00-0.984242438E+00-0.987005229E+00-0.989784278E+00-0.992579206E+00 --0.995389686E+00-0.998217079E+00-0.100106162E+01-0.100392332E+01-0.100680135E+01 --0.100969752E+01-0.101261058E+01-0.101554105E+01-0.101848895E+01-0.102145428E+01 --0.102443908E+01-0.102744148E+01-0.103046077E+01-0.103349331E+01-0.103654635E+01 --0.847614743E+00-0.847380799E+00-0.847130265E+00-0.846863141E+00-0.846579427E+00 --0.846279122E+00-0.845962227E+00-0.845628741E+00-0.845278665E+00-0.844911999E+00 --0.844528742E+00-0.844128924E+00-0.843711807E+00-0.843277838E+00-0.842827086E+00 --0.842359855E+00-0.841876157E+00-0.841375978E+00-0.840859267E+00-0.840326019E+00 --0.839776263E+00-0.839210529E+00-0.838628566E+00-0.838030221E+00-0.837415755E+00 --0.836785683E+00-0.836139902E+00-0.835478305E+00-0.834801037E+00-0.834108289E+00 --0.833400196E+00-0.832676737E+00-0.831938090E+00-0.831184209E+00-0.830415018E+00 --0.829630688E+00-0.828832108E+00-0.828019366E+00-0.827192457E+00-0.826351027E+00 --0.825494775E+00-0.824624725E+00-0.823741093E+00-0.822843880E+00-0.821933234E+00 --0.821008738E+00-0.820070403E+00-0.819119216E+00-0.818155487E+00-0.817179218E+00 --0.816190443E+00-0.815189481E+00-0.814175491E+00-0.813149705E+00-0.812112123E+00 --0.811062698E+00-0.810001557E+00-0.808929448E+00-0.807846413E+00-0.806752472E+00 --0.805647625E+00-0.804531821E+00-0.803405832E+00-0.802270240E+00-0.801125044E+00 --0.799969766E+00-0.798805561E+00-0.797632478E+00-0.796450518E+00-0.795259924E+00 --0.794060905E+00-0.792852887E+00-0.791639578E+00-0.790420979E+00-0.789197089E+00 --0.787967908E+00-0.786734016E+00-0.785496192E+00-0.784254374E+00-0.783009964E+00 --0.781766249E+00-0.780523130E+00-0.779280366E+00-0.778037906E+00-0.776796116E+00 --0.775558224E+00-0.774324978E+00-0.773096377E+00-0.771872421E+00-0.770653466E+00 --0.769442342E+00-0.768239845E+00-0.767046085E+00-0.765861078E+00-0.764685741E+00 --0.763522857E+00-0.762372402E+00-0.761234376E+00-0.760108780E+00-0.758997219E+00 --0.757902290E+00-0.756823996E+00-0.755762011E+00-0.754716289E+00-0.753688216E+00 --0.752680176E+00-0.751692208E+00-0.750724311E+00-0.749776378E+00-0.748848472E+00 --0.747944903E+00-0.747065809E+00-0.746211191E+00-0.745381049E+00-0.744575383E+00 --0.743794192E+00-0.743037509E+00-0.742309487E+00-0.741609861E+00-0.740938700E+00 --0.740295749E+00-0.739681069E+00-0.739096442E+00-0.738541589E+00-0.738018271E+00 --0.737526556E+00-0.737066444E+00-0.736637868E+00-0.736241710E+00-0.735879638E+00 --0.735551333E+00-0.735256793E+00-0.734996566E+00-0.734772086E+00-0.734583249E+00 --0.734429864E+00-0.734311925E+00-0.734230550E+00-0.734186427E+00-0.734179554E+00 --0.734209949E+00-0.734278178E+00-0.734384801E+00-0.734529770E+00-0.734713084E+00 --0.734935136E+00-0.735196922E+00-0.735498475E+00-0.735839466E+00-0.736219706E+00 --0.736639405E+00-0.737099513E+00-0.737600081E+00-0.738141109E+00-0.738722597E+00 --0.739344463E+00-0.740006788E+00-0.740709086E+00-0.741451526E+00-0.742234230E+00 --0.743057197E+00-0.743920427E+00-0.744824173E+00-0.745766822E+00-0.746748191E+00 --0.747768616E+00-0.748828269E+00-0.749927072E+00-0.751064970E+00-0.752239476E+00 --0.753449983E+00-0.754696490E+00-0.755978999E+00-0.757297549E+00-0.758651786E+00 --0.760040216E+00-0.761460565E+00-0.762913233E+00-0.764396478E+00-0.765909510E+00 --0.767452500E+00-0.769025783E+00-0.770624696E+00-0.772247894E+00-0.773895377E+00 --0.775567145E+00-0.777263181E+00-0.778978186E+00-0.780710686E+00-0.782460683E+00 --0.784229368E+00-0.786015660E+00-0.787812756E+00-0.789620963E+00-0.791440279E+00 --0.793270715E+00-0.795108067E+00-0.796951521E+00-0.798801834E+00-0.800659065E+00 --0.802522889E+00-0.804392649E+00-0.806269107E+00-0.808152949E+00-0.810044175E+00 --0.811942437E+00-0.813848122E+00-0.815760601E+00-0.817680489E+00-0.819607787E+00 --0.821542953E+00-0.823485792E+00-0.825435739E+00-0.827394185E+00-0.829361138E+00 --0.831336213E+00-0.833319041E+00-0.835309622E+00-0.837308472E+00-0.839315945E+00 --0.841331839E+00-0.843356394E+00-0.845390758E+00-0.847433617E+00-0.849485358E+00 --0.851546262E+00-0.853616395E+00-0.855696200E+00-0.857785231E+00-0.859883560E+00 --0.861991186E+00-0.864108871E+00-0.866237006E+00-0.868375268E+00-0.870523284E+00 --0.872681102E+00-0.874849385E+00-0.877028189E+00-0.879217513E+00-0.881417868E+00 --0.883629329E+00-0.885850851E+00-0.888083557E+00-0.890327446E+00-0.892582519E+00 --0.894849411E+00-0.897127468E+00-0.899417188E+00-0.901718337E+00-0.904031148E+00 --0.906356111E+00-0.908693325E+00-0.911042719E+00-0.913404165E+00-0.915777820E+00 --0.918164088E+00-0.920563140E+00-0.922975422E+00-0.925400763E+00-0.927838420E+00 --0.930289187E+00-0.932753393E+00-0.935230720E+00-0.937721713E+00-0.940226166E+00 --0.942744413E+00-0.945276549E+00-0.947822844E+00-0.950383547E+00-0.952958414E+00 --0.955547317E+00-0.958150489E+00-0.960768298E+00-0.963400868E+00-0.966048519E+00 --0.968711231E+00-0.971388831E+00-0.974081490E+00-0.976789544E+00-0.979513133E+00 --0.982252302E+00-0.985007587E+00-0.987779131E+00-0.990566439E+00-0.993369393E+00 --0.996188145E+00-0.999023878E+00-0.100187630E+01-0.100474499E+01-0.100763008E+01 --0.101053255E+01-0.101345205E+01-0.101638858E+01-0.101934299E+01-0.102231485E+01 --0.102530436E+01-0.102831146E+01-0.103133616E+01-0.103437846E+01-0.103743702E+01 --0.846033743E+00-0.845794961E+00-0.845539559E+00-0.845267540E+00-0.844978902E+00 --0.844673646E+00-0.844351771E+00-0.844013277E+00-0.843658166E+00-0.843286435E+00 --0.842898087E+00-0.842493211E+00-0.842071829E+00-0.841633922E+00-0.841179516E+00 --0.840708616E+00-0.840221181E+00-0.839717208E+00-0.839196699E+00-0.838659652E+00 --0.838106244E+00-0.837536847E+00-0.836951476E+00-0.836350129E+00-0.835732745E+00 --0.835099169E+00-0.834449814E+00-0.833784788E+00-0.833104090E+00-0.832407720E+00 --0.831695858E+00-0.830969038E+00-0.830226667E+00-0.829468986E+00-0.828695995E+00 --0.827907948E+00-0.827105695E+00-0.826288899E+00-0.825457182E+00-0.824610724E+00 --0.823749668E+00-0.822874902E+00-0.821986343E+00-0.821083662E+00-0.820167084E+00 --0.819236608E+00-0.818292248E+00-0.817334856E+00-0.816364943E+00-0.815382107E+00 --0.814385912E+00-0.813376646E+00-0.812355948E+00-0.811321959E+00-0.810275769E+00 --0.809217608E+00-0.808147450E+00-0.807065735E+00-0.805972879E+00-0.804868882E+00 --0.803754493E+00-0.802628433E+00-0.801492201E+00-0.800345719E+00-0.799188734E+00 --0.798021246E+00-0.796844227E+00-0.795658345E+00-0.794463239E+00-0.793259525E+00 --0.792047718E+00-0.790827496E+00-0.789600985E+00-0.788368779E+00-0.787131867E+00 --0.785890962E+00-0.784646064E+00-0.783397173E+00-0.782144289E+00-0.780889869E+00 --0.779636458E+00-0.778383605E+00-0.777131196E+00-0.775878917E+00-0.774628436E+00 --0.773382594E+00-0.772141334E+00-0.770905335E+00-0.769674621E+00-0.768449349E+00 --0.767233000E+00-0.766026250E+00-0.764828252E+00-0.763639007E+00-0.762460219E+00 --0.761294436E+00-0.760141556E+00-0.759001119E+00-0.757873047E+00-0.756760385E+00 --0.755664368E+00-0.754584994E+00-0.753522264E+00-0.752476171E+00-0.751449126E+00 --0.750442419E+00-0.749455948E+00-0.748489714E+00-0.747543256E+00-0.746619229E+00 --0.745719660E+00-0.744844551E+00-0.743993911E+00-0.743167748E+00-0.742366060E+00 --0.741588848E+00-0.740837471E+00-0.740114948E+00-0.739420821E+00-0.738755089E+00 --0.738117748E+00-0.737508958E+00-0.736930958E+00-0.736384060E+00-0.735868540E+00 --0.735384434E+00-0.734931743E+00-0.734510990E+00-0.734123911E+00-0.733770530E+00 --0.733451245E+00-0.733165725E+00-0.732914608E+00-0.732699179E+00-0.732519441E+00 --0.732375424E+00-0.732267462E+00-0.732196410E+00-0.732162666E+00-0.732166136E+00 --0.732206866E+00-0.732286195E+00-0.732404330E+00-0.732561227E+00-0.732756541E+00 --0.732990483E+00-0.733264141E+00-0.733577570E+00-0.733930770E+00-0.734323752E+00 --0.734757083E+00-0.735230849E+00-0.735745048E+00-0.736299682E+00-0.736894749E+00 --0.737530250E+00-0.738207257E+00-0.738925169E+00-0.739683454E+00-0.740482244E+00 --0.741321583E+00-0.742201354E+00-0.743121702E+00-0.744082470E+00-0.745082167E+00 --0.746121015E+00-0.747199012E+00-0.748316161E+00-0.749472459E+00-0.750668021E+00 --0.751899621E+00-0.753167343E+00-0.754470839E+00-0.755810022E+00-0.757184891E+00 --0.758595448E+00-0.760041115E+00-0.761518323E+00-0.763025518E+00-0.764563158E+00 --0.766131346E+00-0.767729574E+00-0.769354358E+00-0.771005463E+00-0.772681480E+00 --0.774381782E+00-0.776106795E+00-0.777851023E+00-0.779612785E+00-0.781392682E+00 --0.783190920E+00-0.785007264E+00-0.786835753E+00-0.788675352E+00-0.790525884E+00 --0.792387138E+00-0.794256708E+00-0.796132645E+00-0.798015007E+00-0.799903623E+00 --0.801797911E+00-0.803698149E+00-0.805604367E+00-0.807517519E+00-0.809437537E+00 --0.811363571E+00-0.813297601E+00-0.815237719E+00-0.817184468E+00-0.819138627E+00 --0.821099934E+00-0.823068590E+00-0.825044900E+00-0.827028809E+00-0.829020449E+00 --0.831019845E+00-0.833026996E+00-0.835041900E+00-0.837064337E+00-0.839094995E+00 --0.841134073E+00-0.843181573E+00-0.845237868E+00-0.847302274E+00-0.849375669E+00 --0.851457985E+00-0.853549116E+00-0.855650119E+00-0.857759384E+00-0.859878048E+00 --0.862006213E+00-0.864143959E+00-0.866291433E+00-0.868448705E+00-0.870615774E+00 --0.872792626E+00-0.874979359E+00-0.877176422E+00-0.879383903E+00-0.881601802E+00 --0.883830403E+00-0.886069431E+00-0.888319214E+00-0.890580050E+00-0.892851939E+00 --0.895135025E+00-0.897429328E+00-0.899734907E+00-0.902052042E+00-0.904380569E+00 --0.906720738E+00-0.909072915E+00-0.911436992E+00-0.913813113E+00-0.916201414E+00 --0.918602010E+00-0.921015231E+00-0.923441077E+00-0.925879583E+00-0.928330627E+00 --0.930794763E+00-0.933271985E+00-0.935762144E+00-0.938265644E+00-0.940782593E+00 --0.943312981E+00-0.945857131E+00-0.948415173E+00-0.950987094E+00-0.953572879E+00 --0.956172836E+00-0.958786962E+00-0.961415505E+00-0.964058711E+00-0.966716577E+00 --0.969388972E+00-0.972076221E+00-0.974778530E+00-0.977495895E+00-0.980228626E+00 --0.982976885E+00-0.985740671E+00-0.988520029E+00-0.991315141E+00-0.994126141E+00 --0.996953018E+00-0.999796147E+00-0.100265557E+01-0.100553130E+01-0.100842330E+01 --0.101133204E+01-0.101425780E+01-0.101720058E+01-0.102016040E+01-0.102313727E+01 --0.102613147E+01-0.102914327E+01-0.103217268E+01-0.103521968E+01-0.103828429E+01 --0.844502238E+00-0.844257360E+00-0.843996642E+00-0.843719486E+00-0.843425712E+00 --0.843115319E+00-0.842788307E+00-0.842444677E+00-0.842084429E+00-0.841707562E+00 --0.841314076E+00-0.840904517E+00-0.840478597E+00-0.840036328E+00-0.839577575E+00 --0.839102114E+00-0.838610434E+00-0.838102533E+00-0.837578226E+00-0.837037381E+00 --0.836480220E+00-0.835907164E+00-0.835318108E+00-0.834712868E+00-0.834091548E+00 --0.833454125E+00-0.832800840E+00-0.832131869E+00-0.831447211E+00-0.830746885E+00 --0.830031103E+00-0.829299495E+00-0.828552621E+00-0.827790704E+00-0.827013752E+00 --0.826221882E+00-0.825414620E+00-0.824592615E+00-0.823755869E+00-0.822904382E+00 --0.822038227E+00-0.821157508E+00-0.820262947E+00-0.819354317E+00-0.818431619E+00 --0.817494852E+00-0.816544677E+00-0.815581518E+00-0.814604046E+00-0.813613214E+00 --0.812609022E+00-0.811591471E+00-0.810561289E+00-0.809518810E+00-0.808464015E+00 --0.807397102E+00-0.806317954E+00-0.805226280E+00-0.804123466E+00-0.803009305E+00 --0.801883163E+00-0.800745199E+00-0.799596690E+00-0.798437860E+00-0.797268710E+00 --0.796089239E+00-0.794899177E+00-0.793699433E+00-0.792490710E+00-0.791273901E+00 --0.790048847E+00-0.788815561E+00-0.787576447E+00-0.786332107E+00-0.785083446E+00 --0.783830657E+00-0.782573739E+00-0.781312955E+00-0.780049848E+00-0.778786202E+00 --0.777523188E+00-0.776260675E+00-0.774998664E+00-0.773736663E+00-0.772478967E+00 --0.771226777E+00-0.769979846E+00-0.768738199E+00-0.767501836E+00-0.766271249E+00 --0.765049824E+00-0.763838168E+00-0.762636079E+00-0.761442596E+00-0.760260440E+00 --0.759091435E+00-0.757935443E+00-0.756792254E+00-0.755661953E+00-0.754548636E+00 --0.753452305E+00-0.752372960E+00-0.751310601E+00-0.750265373E+00-0.749240046E+00 --0.748235309E+00-0.747250961E+00-0.746286783E+00-0.745342599E+00-0.744422338E+00 --0.743526535E+00-0.742655191E+00-0.741808306E+00-0.740985880E+00-0.740187924E+00 --0.739414691E+00-0.738669186E+00-0.737952399E+00-0.737264268E+00-0.736604774E+00 --0.735973919E+00-0.735371764E+00-0.734800352E+00-0.734260501E+00-0.733752213E+00 --0.733275474E+00-0.732830163E+00-0.732417878E+00-0.732039263E+00-0.731694319E+00 --0.731383045E+00-0.731106038E+00-0.730864107E+00-0.730657952E+00-0.730487382E+00 --0.730352398E+00-0.730254431E+00-0.730193963E+00-0.730170813E+00-0.730184878E+00 --0.730236236E+00-0.730326035E+00-0.730454640E+00-0.730622046E+00-0.730828322E+00 --0.731074062E+00-0.731359837E+00-0.731685399E+00-0.732050750E+00-0.732455945E+00 --0.732901908E+00-0.733389053E+00-0.733916894E+00-0.734485169E+00-0.735093878E+00 --0.735743212E+00-0.736434056E+00-0.737166375E+00-0.737939848E+00-0.738753841E+00 --0.739608341E+00-0.740503352E+00-0.741439516E+00-0.742416580E+00-0.743433953E+00 --0.744490601E+00-0.745586512E+00-0.746721686E+00-0.747896122E+00-0.749110620E+00 --0.750363393E+00-0.751651892E+00-0.752976117E+00-0.754336068E+00-0.755731746E+00 --0.757163151E+00-0.758630115E+00-0.760130995E+00-0.761663500E+00-0.763226370E+00 --0.764819788E+00-0.766442905E+00-0.768092435E+00-0.769768335E+00-0.771470605E+00 --0.773199084E+00-0.774953107E+00-0.776725762E+00-0.778516530E+00-0.780325639E+00 --0.782153089E+00-0.783998881E+00-0.785858832E+00-0.787729274E+00-0.789610362E+00 --0.791502315E+00-0.793403062E+00-0.795310047E+00-0.797223451E+00-0.799142157E+00 --0.801066553E+00-0.802996956E+00-0.804933366E+00-0.806876153E+00-0.808824662E+00 --0.810779337E+00-0.812740321E+00-0.814707553E+00-0.816681031E+00-0.818661993E+00 --0.820649600E+00-0.822643811E+00-0.824645327E+00-0.826654106E+00-0.828670200E+00 --0.830693609E+00-0.832724332E+00-0.834762345E+00-0.836808280E+00-0.838862365E+00 --0.840924444E+00-0.842994514E+00-0.845072578E+00-0.847158686E+00-0.849253707E+00 --0.851357454E+00-0.853469246E+00-0.855590160E+00-0.857720002E+00-0.859858551E+00 --0.862006512E+00-0.864163567E+00-0.866330062E+00-0.868506326E+00-0.870692413E+00 --0.872887967E+00-0.875092890E+00-0.877307631E+00-0.879532810E+00-0.881768390E+00 --0.884014200E+00-0.886270287E+00-0.888536728E+00-0.890814117E+00-0.893102308E+00 --0.895401269E+00-0.897711391E+00-0.900032674E+00-0.902365117E+00-0.904708611E+00 --0.907063953E+00-0.909430912E+00-0.911809498E+00-0.914199915E+00-0.916602502E+00 --0.919017193E+00-0.921443895E+00-0.923883153E+00-0.926334793E+00-0.928798953E+00 --0.931275797E+00-0.933765646E+00-0.936268413E+00-0.938784112E+00-0.941313025E+00 --0.943855302E+00-0.946410981E+00-0.948980336E+00-0.951563374E+00-0.954160192E+00 --0.956770793E+00-0.959395331E+00-0.962034101E+00-0.964687359E+00-0.967355103E+00 --0.970037334E+00-0.972734051E+00-0.975445256E+00-0.978171627E+00-0.980913179E+00 --0.983669930E+00-0.986441880E+00-0.989229210E+00-0.992032107E+00-0.994850560E+00 --0.997684865E+00-0.100053500E+01-0.100340118E+01-0.100628340E+01-0.100918221E+01 --0.101209745E+01-0.101502873E+01-0.101797682E+01-0.102094171E+01-0.102392342E+01 --0.102692152E+01-0.102993744E+01-0.103297116E+01-0.103602269E+01-0.103909202E+01 --0.843020908E+00-0.842769550E+00-0.842502118E+00-0.842218613E+00-0.841919035E+00 --0.841603383E+00-0.841271587E+00-0.840922821E+00-0.840557436E+00-0.840175432E+00 --0.839776810E+00-0.839362568E+00-0.838931801E+00-0.838484611E+00-0.838021056E+00 --0.837541085E+00-0.837044896E+00-0.836532487E+00-0.836003860E+00-0.835459013E+00 --0.834898027E+00-0.834320584E+00-0.833727180E+00-0.833117730E+00-0.832492201E+00 --0.831850593E+00-0.831192929E+00-0.830519842E+00-0.829830964E+00-0.829126266E+00 --0.828405795E+00-0.827669557E+00-0.826918001E+00-0.826151400E+00-0.825369746E+00 --0.824572573E+00-0.823759850E+00-0.822932177E+00-0.822089727E+00-0.821232501E+00 --0.820360787E+00-0.819474595E+00-0.818573714E+00-0.817658336E+00-0.816728889E+00 --0.815785459E+00-0.814828210E+00-0.813856923E+00-0.812871596E+00-0.811872423E+00 --0.810860235E+00-0.809834688E+00-0.808795427E+00-0.807743486E+00-0.806679227E+00 --0.805602651E+00-0.804513304E+00-0.803411682E+00-0.802297863E+00-0.801172020E+00 --0.800034153E+00-0.798884166E+00-0.797722478E+00-0.796550469E+00-0.795368140E+00 --0.794175014E+00-0.792971958E+00-0.791759323E+00-0.790537407E+00-0.789307294E+00 --0.788068935E+00-0.786822781E+00-0.785571706E+00-0.784315948E+00-0.783055507E+00 --0.781790507E+00-0.780522500E+00-0.779252126E+00-0.777979352E+00-0.776706090E+00 --0.775433329E+00-0.774161082E+00-0.772890266E+00-0.771621231E+00-0.770356679E+00 --0.769097649E+00-0.767844196E+00-0.766596381E+00-0.765354205E+00-0.764118051E+00 --0.762891720E+00-0.761675221E+00-0.760468555E+00-0.759271747E+00-0.758087598E+00 --0.756916216E+00-0.755757957E+00-0.754612699E+00-0.753482593E+00-0.752369181E+00 --0.751273626E+00-0.750195224E+00-0.749133807E+00-0.748089469E+00-0.747065132E+00 --0.746061386E+00-0.745078231E+00-0.744116211E+00-0.743176392E+00-0.742259599E+00 --0.741367228E+00-0.740499279E+00-0.739655751E+00-0.738836645E+00-0.738042877E+00 --0.737276276E+00-0.736536549E+00-0.735825555E+00-0.735143651E+00-0.734490736E+00 --0.733866460E+00-0.733270908E+00-0.732706083E+00-0.732172751E+00-0.731671201E+00 --0.731201748E+00-0.730764398E+00-0.730360090E+00-0.729989458E+00-0.729652502E+00 --0.729349292E+00-0.729081464E+00-0.728849223E+00-0.728652406E+00-0.728491175E+00 --0.728365586E+00-0.728277011E+00-0.728225937E+00-0.728212365E+00-0.728236293E+00 --0.728298095E+00-0.728398614E+00-0.728538072E+00-0.728716468E+00-0.728933801E+00 --0.729190318E+00-0.729487154E+00-0.729824406E+00-0.730201951E+00-0.730619330E+00 --0.731077438E+00-0.731576642E+00-0.732116940E+00-0.732698584E+00-0.733320935E+00 --0.733983949E+00-0.734688415E+00-0.735434356E+00-0.736221773E+00-0.737050820E+00 --0.737920562E+00-0.738831155E+00-0.739782648E+00-0.740775041E+00-0.741808333E+00 --0.742882346E+00-0.743995696E+00-0.745148384E+00-0.746340423E+00-0.747572098E+00 --0.748842957E+00-0.750152571E+00-0.751497911E+00-0.752878977E+00-0.754295770E+00 --0.755748191E+00-0.757235006E+00-0.758755854E+00-0.760310735E+00-0.761899178E+00 --0.763517874E+00-0.765165779E+00-0.766840055E+00-0.768540700E+00-0.770267975E+00 --0.772021678E+00-0.773801688E+00-0.775602438E+00-0.777421713E+00-0.779259514E+00 --0.781115841E+00-0.782990693E+00-0.784880885E+00-0.786781807E+00-0.788693594E+00 --0.790616247E+00-0.792548161E+00-0.794486327E+00-0.796430083E+00-0.798379150E+00 --0.800333093E+00-0.802293036E+00-0.804258881E+00-0.806230040E+00-0.808206518E+00 --0.810189564E+00-0.812177503E+00-0.814171690E+00-0.816172123E+00-0.818178802E+00 --0.820191829E+00-0.822210952E+00-0.824237268E+00-0.826270649E+00-0.828311093E+00 --0.830358602E+00-0.832413317E+00-0.834474928E+00-0.836543448E+00-0.838620064E+00 --0.840704411E+00-0.842796573E+00-0.844896732E+00-0.847004598E+00-0.849120933E+00 --0.851245274E+00-0.853377622E+00-0.855518366E+00-0.857667890E+00-0.859826185E+00 --0.861993838E+00-0.864169971E+00-0.866355382E+00-0.868550204E+00-0.870754395E+00 --0.872967956E+00-0.875190885E+00-0.877423183E+00-0.879665829E+00-0.881918249E+00 --0.884180804E+00-0.886453636E+00-0.888736747E+00-0.891030056E+00-0.893334014E+00 --0.895648762E+00-0.897974400E+00-0.900310931E+00-0.902658425E+00-0.905017141E+00 --0.907386889E+00-0.909768124E+00-0.912160925E+00-0.914565275E+00-0.916981696E+00 --0.919409744E+00-0.921849824E+00-0.924302409E+00-0.926766855E+00-0.929243775E+00 --0.931733066E+00-0.934235154E+00-0.936750224E+00-0.939277951E+00-0.941818258E+00 --0.944371854E+00-0.946938871E+00-0.949519606E+00-0.952113423E+00-0.954720530E+00 --0.957341420E+00-0.959976229E+00-0.962625125E+00-0.965287917E+00-0.967964950E+00 --0.970656470E+00-0.973362477E+00-0.976083030E+00-0.978817868E+00-0.981567463E+00 --0.984332255E+00-0.987112344E+00-0.989907543E+00-0.992717582E+00-0.995543108E+00 --0.998384490E+00-0.100124155E+01-0.100411414E+01-0.100700269E+01-0.100990738E+01 --0.101282828E+01-0.101576508E+01-0.101871818E+01-0.102168810E+01-0.102467482E+01 --0.102767676E+01-0.103069651E+01-0.103373406E+01-0.103678942E+01-0.103986259E+01 --0.841587157E+00-0.841329319E+00-0.841055407E+00-0.840765422E+00-0.840459363E+00 --0.840137231E+00-0.839799025E+00-0.839444745E+00-0.839074392E+00-0.838687965E+00 --0.838285465E+00-0.837866350E+00-0.837430386E+00-0.836978190E+00-0.836509833E+00 --0.836025353E+00-0.835524633E+00-0.835007549E+00-0.834474150E+00-0.833924481E+00 --0.833358977E+00-0.832777032E+00-0.832178846E+00-0.831564679E+00-0.830934531E+00 --0.830288403E+00-0.829626349E+00-0.828948695E+00-0.828254957E+00-0.827545278E+00 --0.826819922E+00-0.826078888E+00-0.825322602E+00-0.824550778E+00-0.823763429E+00 --0.822960554E+00-0.822142153E+00-0.821308613E+00-0.820460341E+00-0.819597118E+00 --0.818718767E+00-0.817825807E+00-0.816918238E+00-0.815996061E+00-0.815059339E+00 --0.814107979E+00-0.813142581E+00-0.812163143E+00-0.811169666E+00-0.810162150E+00 --0.809140595E+00-0.808106007E+00-0.807058364E+00-0.805996960E+00-0.804923006E+00 --0.803835600E+00-0.802734664E+00-0.801620717E+00-0.800494817E+00-0.799356971E+00 --0.798207179E+00-0.797045507E+00-0.795870854E+00-0.794684056E+00-0.793487680E+00 --0.792281725E+00-0.791066191E+00-0.789841080E+00-0.788606390E+00-0.787362121E+00 --0.786110034E+00-0.784851414E+00-0.783588148E+00-0.782321046E+00-0.781050108E+00 --0.779775334E+00-0.778496724E+00-0.777216098E+00-0.775933678E+00-0.774650669E+00 --0.773368860E+00-0.772088964E+00-0.770810929E+00-0.769534992E+00-0.768263990E+00 --0.766998683E+00-0.765738625E+00-0.764483752E+00-0.763234616E+00-0.761994287E+00 --0.760764146E+00-0.759544033E+00-0.758333752E+00-0.757134747E+00-0.755948866E+00 --0.754775752E+00-0.753615581E+00-0.752469937E+00-0.751340316E+00-0.750226596E+00 --0.749130552E+00-0.748052442E+00-0.746992030E+00-0.745948557E+00-0.744925211E+00 --0.743922490E+00-0.742941936E+00-0.741983860E+00-0.741048263E+00-0.740135142E+00 --0.739245612E+00-0.738380724E+00-0.737540389E+00-0.736726310E+00-0.735938911E+00 --0.735178192E+00-0.734444154E+00-0.733738240E+00-0.733061520E+00-0.732413890E+00 --0.731795690E+00-0.731206907E+00-0.730648645E+00-0.730123092E+00-0.729629684E+00 --0.729168374E+00-0.728739163E+00-0.728342412E+00-0.727979630E+00-0.727650523E+00 --0.727355601E+00-0.727096208E+00-0.726872412E+00-0.726684213E+00-0.726531694E+00 --0.726415261E+00-0.726336253E+00-0.726294771E+00-0.726290816E+00-0.726324387E+00 --0.726395751E+00-0.726506312E+00-0.726656265E+00-0.726845610E+00-0.727074090E+00 --0.727341460E+00-0.727648979E+00-0.727996921E+00-0.728385435E+00-0.728814521E+00 --0.729284491E+00-0.729795619E+00-0.730347874E+00-0.730941258E+00-0.731576534E+00 --0.732253104E+00-0.732971072E+00-0.733730450E+00-0.734531239E+00-0.735373896E+00 --0.736258714E+00-0.737184697E+00-0.738151574E+00-0.739159348E+00-0.740208009E+00 --0.741297544E+00-0.742428050E+00-0.743598560E+00-0.744808417E+00-0.746057146E+00 --0.747344860E+00-0.748671558E+00-0.750037431E+00-0.751439612E+00-0.752877857E+00 --0.754350607E+00-0.755857390E+00-0.757398206E+00-0.758973091E+00-0.760582260E+00 --0.762225576E+00-0.763898968E+00-0.765598363E+00-0.767324170E+00-0.769076391E+00 --0.770855023E+00-0.772660069E+00-0.774488338E+00-0.776335157E+00-0.778200501E+00 --0.780084630E+00-0.781987690E+00-0.783906168E+00-0.785835924E+00-0.787776965E+00 --0.789729612E+00-0.791692791E+00-0.793661550E+00-0.795635531E+00-0.797614825E+00 --0.799598961E+00-0.801588284E+00-0.803582156E+00-0.805581270E+00-0.807585651E+00 --0.809595125E+00-0.811610895E+00-0.813631742E+00-0.815658433E+00-0.817690967E+00 --0.819729346E+00-0.821773225E+00-0.823823932E+00-0.825881703E+00-0.827946538E+00 --0.830017943E+00-0.832095810E+00-0.834180157E+00-0.836270984E+00-0.838369496E+00 --0.840475767E+00-0.842589642E+00-0.844710572E+00-0.846839509E+00-0.848976441E+00 --0.851121339E+00-0.853274244E+00-0.855434736E+00-0.857603942E+00-0.859781919E+00 --0.861968000E+00-0.864163164E+00-0.866366564E+00-0.868579285E+00-0.870801328E+00 --0.873032694E+00-0.875273381E+00-0.877523352E+00-0.879782610E+00-0.882052187E+00 --0.884331108E+00-0.886620126E+00-0.888919240E+00-0.891228450E+00-0.893548136E+00 --0.895878395E+00-0.898219225E+00-0.900570526E+00-0.902932735E+00-0.905305992E+00 --0.907690274E+00-0.910085647E+00-0.912492219E+00-0.914910471E+00-0.917340228E+00 --0.919781489E+00-0.922234601E+00-0.924699688E+00-0.927176727E+00-0.929666352E+00 --0.932167815E+00-0.934681980E+00-0.937208647E+00-0.939747814E+00-0.942299482E+00 --0.944864250E+00-0.947442316E+00-0.950033385E+00-0.952637542E+00-0.955254786E+00 --0.957885839E+00-0.960530504E+00-0.963188781E+00-0.965861120E+00-0.968547520E+00 --0.971248112E+00-0.973962822E+00-0.976691817E+00-0.979435097E+00-0.982192777E+00 --0.984965606E+00-0.987753299E+00-0.990555673E+00-0.993372728E+00-0.996205283E+00 --0.999053006E+00-0.100191619E+01-0.100479497E+01-0.100768934E+01-0.101059999E+01 --0.101352603E+01-0.101646796E+01-0.101942581E+01-0.102239973E+01-0.102539148E+01 --0.102839725E+01-0.103142083E+01-0.103446222E+01-0.103752102E+01-0.104059687E+01 --0.840200986E+00-0.839936667E+00-0.839656275E+00-0.839359810E+00-0.839047271E+00 --0.838718658E+00-0.838373972E+00-0.838013227E+00-0.837637459E+00-0.837246162E+00 --0.836839334E+00-0.836415002E+00-0.835973961E+00-0.835516769E+00-0.835043553E+00 --0.834554132E+00-0.834048446E+00-0.833526445E+00-0.832988129E+00-0.832433660E+00 --0.831863037E+00-0.831276232E+00-0.830673288E+00-0.830054359E+00-0.829419448E+00 --0.828768510E+00-0.828101411E+00-0.827418279E+00-0.826719356E+00-0.826004518E+00 --0.825273874E+00-0.824527553E+00-0.823765400E+00-0.822987685E+00-0.822194452E+00 --0.821385700E+00-0.820561540E+00-0.819721911E+00-0.818867714E+00-0.817997357E+00 --0.817112238E+00-0.816212525E+00-0.815297656E+00-0.814367588E+00-0.813422753E+00 --0.812463837E+00-0.811489744E+00-0.810501272E+00-0.809498918E+00-0.808482681E+00 --0.807452563E+00-0.806408368E+00-0.805350053E+00-0.804278775E+00-0.803193594E+00 --0.802094884E+00-0.800982643E+00-0.799856845E+00-0.798718386E+00-0.797567980E+00 --0.796405306E+00-0.795229623E+00-0.794041322E+00-0.792840879E+00-0.791630876E+00 --0.790411313E+00-0.789182191E+00-0.787943510E+00-0.786695328E+00-0.785439259E+00 --0.784175325E+00-0.782904601E+00-0.781630382E+00-0.780352670E+00-0.779071464E+00 --0.777786763E+00-0.776498568E+00-0.775206637E+00-0.773912923E+00-0.772622086E+00 --0.771333111E+00-0.770045996E+00-0.768760743E+00-0.767477947E+00-0.766200494E+00 --0.764928736E+00-0.763662675E+00-0.762401897E+00-0.761149338E+00-0.759906431E+00 --0.758672755E+00-0.757449028E+00-0.756235411E+00-0.755034253E+00-0.753846017E+00 --0.752670703E+00-0.751509364E+00-0.750364031E+00-0.749234721E+00-0.748121269E+00 --0.747024658E+00-0.745945981E+00-0.744885238E+00-0.743843871E+00-0.742822348E+00 --0.741822846E+00-0.740845760E+00-0.739891090E+00-0.738958837E+00-0.738049000E+00 --0.737162285E+00-0.736301087E+00-0.735465790E+00-0.734657144E+00-0.733875193E+00 --0.733119937E+00-0.732391377E+00-0.731690720E+00-0.731019978E+00-0.730378951E+00 --0.729767549E+00-0.729185772E+00-0.728634431E+00-0.728115649E+00-0.727629428E+00 --0.727175769E+00-0.726754633E+00-0.726365663E+00-0.726010097E+00-0.725688670E+00 --0.725402114E+00-0.725151170E+00-0.724935915E+00-0.724756042E+00-0.724611586E+00 --0.724504253E+00-0.724434745E+00-0.724403027E+00-0.724408862E+00-0.724452223E+00 --0.724533207E+00-0.724653220E+00-0.724812624E+00-0.725011333E+00-0.725249143E+00 --0.725527619E+00-0.725846184E+00-0.726205568E+00-0.726605477E+00-0.727045958E+00 --0.727527150E+00-0.728049817E+00-0.728613612E+00-0.729218709E+00-0.729865907E+00 --0.730555205E+00-0.731286350E+00-0.732058914E+00-0.732872889E+00-0.733728738E+00 --0.734626533E+00-0.735566274E+00-0.736547959E+00-0.737571135E+00-0.738635020E+00 --0.739739883E+00-0.740885726E+00-0.742072547E+00-0.743299821E+00-0.744565428E+00 --0.745870020E+00-0.747213559E+00-0.748595820E+00-0.750018670E+00-0.751477511E+00 --0.752970633E+00-0.754498036E+00-0.756059720E+00-0.757655685E+00-0.759285696E+00 --0.760949543E+00-0.762643991E+00-0.764367882E+00-0.766118435E+00-0.767895286E+00 --0.769698706E+00-0.771528681E+00-0.773383798E+00-0.775258096E+00-0.777150443E+00 --0.779061533E+00-0.780991365E+00-0.782938197E+00-0.784896033E+00-0.786866106E+00 --0.788848414E+00-0.790840372E+00-0.792837874E+00-0.794840989E+00-0.796849716E+00 --0.798864149E+00-0.800881992E+00-0.802904835E+00-0.804932114E+00-0.806963831E+00 --0.808999983E+00-0.811040883E+00-0.813087635E+00-0.815140085E+00-0.817198232E+00 --0.819262063E+00-0.821331648E+00-0.823406745E+00-0.825488369E+00-0.827576011E+00 --0.829670133E+00-0.831770737E+00-0.833877721E+00-0.835991318E+00-0.838111967E+00 --0.840239415E+00-0.842374073E+00-0.844515941E+00-0.846665134E+00-0.848822132E+00 --0.850986959E+00-0.853159586E+00-0.855339895E+00-0.857528329E+00-0.859724890E+00 --0.861929893E+00-0.864143534E+00-0.866365682E+00-0.868596336E+00-0.870835842E+00 --0.873084707E+00-0.875342570E+00-0.877609296E+00-0.879885043E+00-0.882170693E+00 --0.884466011E+00-0.886771090E+00-0.889086179E+00-0.891410695E+00-0.893745842E+00 --0.896091320E+00-0.898446891E+00-0.900812554E+00-0.903188749E+00-0.905576067E+00 --0.907974467E+00-0.910383797E+00-0.912803993E+00-0.915235345E+00-0.917678315E+00 --0.920132592E+00-0.922598228E+00-0.925075816E+00-0.927565359E+00-0.930066648E+00 --0.932579658E+00-0.935105151E+00-0.937643161E+00-0.940193688E+00-0.942756732E+00 --0.945332401E+00-0.947920581E+00-0.950521939E+00-0.953136429E+00-0.955764008E+00 --0.958404674E+00-0.961058935E+00-0.963726576E+00-0.966407950E+00-0.969102936E+00 --0.971812182E+00-0.974535109E+00-0.977272023E+00-0.980023372E+00-0.982789156E+00 --0.985569415E+00-0.988364146E+00-0.991173695E+00-0.993997925E+00-0.996837084E+00 --0.999691148E+00-0.100256046E+01-0.100544531E+01-0.100834533E+01-0.101126049E+01 --0.101419143E+01-0.101713831E+01-0.102010113E+01-0.102307990E+01-0.102607432E+01 --0.102908376E+01-0.103211052E+01-0.103515460E+01-0.103821599E+01-0.104129470E+01 --0.838862394E+00-0.838591595E+00-0.838304723E+00-0.838001777E+00-0.837682712E+00 --0.837347509E+00-0.836996777E+00-0.836630514E+00-0.836248721E+00-0.835851399E+00 --0.835438546E+00-0.835008826E+00-0.834562602E+00-0.834100243E+00-0.833621662E+00 --0.833126855E+00-0.832615942E+00-0.832088980E+00-0.831545697E+00-0.830986139E+00 --0.830410399E+00-0.829818475E+00-0.829210488E+00-0.828586718E+00-0.827946556E+00 --0.827290226E+00-0.826617727E+00-0.825929116E+00-0.825224599E+00-0.824504171E+00 --0.823767833E+00-0.823016000E+00-0.822247879E+00-0.821464092E+00-0.820664787E+00 --0.819849946E+00-0.819019356E+00-0.818173034E+00-0.817311503E+00-0.816434748E+00 --0.815542372E+00-0.814634798E+00-0.813712026E+00-0.812774055E+00-0.811820998E+00 --0.810853214E+00-0.809870711E+00-0.808873490E+00-0.807861808E+00-0.806835668E+00 --0.805795058E+00-0.804740308E+00-0.803671762E+00-0.802588288E+00-0.801491291E+00 --0.800380922E+00-0.799257179E+00-0.798120058E+00-0.796968950E+00-0.795804865E+00 --0.794628435E+00-0.793439662E+00-0.792238545E+00-0.791024968E+00-0.789800963E+00 --0.788567398E+00-0.787324121E+00-0.786072375E+00-0.784812847E+00-0.783545538E+00 --0.782270446E+00-0.780988478E+00-0.779702771E+00-0.778413570E+00-0.777120875E+00 --0.775825047E+00-0.774526511E+00-0.773225740E+00-0.771925731E+00-0.770626693E+00 --0.769329548E+00-0.768034295E+00-0.766741415E+00-0.765452852E+00-0.764169670E+00 --0.762892163E+00-0.761620325E+00-0.760355433E+00-0.759099976E+00-0.757854053E+00 --0.756617546E+00-0.755390205E+00-0.754173779E+00-0.752970296E+00-0.751780328E+00 --0.750604085E+00-0.749442022E+00-0.748296246E+00-0.747166557E+00-0.746053006E+00 --0.744956281E+00-0.743878852E+00-0.742821086E+00-0.741782982E+00-0.740764541E+00 --0.739767293E+00-0.738792475E+00-0.737840139E+00-0.736911022E+00-0.736005136E+00 --0.735122806E+00-0.734266393E+00-0.733436360E+00-0.732632706E+00-0.731855525E+00 --0.731105036E+00-0.730381606E+00-0.729687493E+00-0.729023080E+00-0.728388367E+00 --0.727783355E+00-0.727208350E+00-0.726663972E+00-0.726152108E+00-0.725672805E+00 --0.725226064E+00-0.724811884E+00-0.724430262E+00-0.724081787E+00-0.723768601E+00 --0.723491129E+00-0.723249038E+00-0.723042330E+00-0.722871003E+00-0.722735148E+00 --0.722636480E+00-0.722575638E+00-0.722552622E+00-0.722567432E+00-0.722620068E+00 --0.722710588E+00-0.722840216E+00-0.723009416E+00-0.723217889E+00-0.723465635E+00 --0.723753880E+00-0.724082756E+00-0.724452133E+00-0.724862755E+00-0.725314543E+00 --0.725806991E+00-0.726340816E+00-0.726916083E+00-0.727532700E+00-0.728191417E+00 --0.728892234E+00-0.729635151E+00-0.730420633E+00-0.731247745E+00-0.732116573E+00 --0.733027366E+00-0.733980310E+00-0.734975302E+00-0.736012261E+00-0.737090494E+00 --0.738209846E+00-0.739370316E+00-0.740572643E+00-0.741816517E+00-0.743099029E+00 --0.744420379E+00-0.745780755E+00-0.747180580E+00-0.748619284E+00-0.750096972E+00 --0.751611171E+00-0.753159650E+00-0.754742291E+00-0.756358684E+00-0.758009073E+00 --0.759693352E+00-0.761408563E+00-0.763153593E+00-0.764927990E+00-0.766729064E+00 --0.768556439E+00-0.770410113E+00-0.772288856E+00-0.774189387E+00-0.776108631E+00 --0.778046543E+00-0.780003149E+00-0.781974928E+00-0.783960504E+00-0.785959877E+00 --0.787972512E+00-0.789992819E+00-0.792018694E+00-0.794050470E+00-0.796088147E+00 --0.798131306E+00-0.800177794E+00-0.802228114E+00-0.804282563E+00-0.806341073E+00 --0.808404019E+00-0.810471403E+00-0.812543201E+00-0.814620463E+00-0.816703424E+00 --0.818792083E+00-0.820886299E+00-0.822985833E+00-0.825090259E+00-0.827200822E+00 --0.829317541E+00-0.831440468E+00-0.833569945E+00-0.835705710E+00-0.837847763E+00 --0.839996105E+00-0.842151570E+00-0.844314375E+00-0.846483681E+00-0.848660744E+00 --0.850845524E+00-0.853037327E+00-0.855236390E+00-0.857443648E+00-0.859658888E+00 --0.861881975E+00-0.864113569E+00-0.866353671E+00-0.868601683E+00-0.870858283E+00 --0.873124104E+00-0.875398649E+00-0.877682057E+00-0.879974279E+00-0.882275698E+00 --0.884586785E+00-0.886907535E+00-0.889237463E+00-0.891577284E+00-0.893927202E+00 --0.896287216E+00-0.898657321E+00-0.901037514E+00-0.903427868E+00-0.905828870E+00 --0.908240651E+00-0.910663298E+00-0.913096812E+00-0.915541192E+00-0.917996370E+00 --0.920463161E+00-0.922941560E+00-0.925431480E+00-0.927932920E+00-0.930445881E+00 --0.932970361E+00-0.935506842E+00-0.938055844E+00-0.940617362E+00-0.943191377E+00 --0.945777505E+00-0.948375710E+00-0.950986666E+00-0.953610799E+00-0.956248111E+00 --0.958898609E+00-0.961562199E+00-0.964238757E+00-0.966928877E+00-0.969632648E+00 --0.972350107E+00-0.975081032E+00-0.977825675E+00-0.980584729E+00-0.983358101E+00 --0.986145436E+00-0.988946750E+00-0.991762749E+00-0.994593605E+00-0.997439199E+00 --0.100029976E+01-0.100317490E+01-0.100606512E+01-0.100897043E+01-0.101189073E+01 --0.101482640E+01-0.101777800E+01-0.102074551E+01-0.102372840E+01-0.102672653E+01 --0.102973883E+01-0.103276844E+01-0.103581537E+01-0.103887962E+01-0.104196397E+01 --0.837571382E+00-0.837293772E+00-0.836999134E+00-0.836688967E+00-0.836363269E+00 --0.836022042E+00-0.835665284E+00-0.835292996E+00-0.834905177E+00-0.834501829E+00 --0.834082951E+00-0.833647841E+00-0.833196110E+00-0.832728229E+00-0.832244205E+00 --0.831744075E+00-0.831227838E+00-0.830695504E+00-0.830146903E+00-0.829582023E+00 --0.829000959E+00-0.828403713E+00-0.827790418E+00-0.827161114E+00-0.826515292E+00 --0.825853371E+00-0.825175351E+00-0.824481204E+00-0.823770993E+00-0.823044787E+00 --0.822302584E+00-0.821544463E+00-0.820770538E+00-0.819980434E+00-0.819174356E+00 --0.818352546E+00-0.817515004E+00-0.816661729E+00-0.815792882E+00-0.814908429E+00 --0.814008349E+00-0.813092642E+00-0.812161912E+00-0.811216038E+00-0.810254445E+00 --0.809277792E+00-0.808286476E+00-0.807279840E+00-0.806257923E+00-0.805221571E+00 --0.804170751E+00-0.803105717E+00-0.802025473E+00-0.800930045E+00-0.799820685E+00 --0.798697953E+00-0.797561847E+00-0.796411263E+00-0.795246376E+00-0.794068539E+00 --0.792878554E+00-0.791676422E+00-0.790462142E+00-0.789235714E+00-0.787996693E+00 --0.786749252E+00-0.785494031E+00-0.784231030E+00-0.782960249E+00-0.781681687E+00 --0.780395346E+00-0.779101512E+00-0.777804859E+00-0.776505344E+00-0.775202965E+00 --0.773897723E+00-0.772589924E+00-0.771282011E+00-0.769974341E+00-0.768667119E+00 --0.767361434E+00-0.766058785E+00-0.764760611E+00-0.763466913E+00-0.762178010E+00 --0.760894955E+00-0.759617860E+00-0.758349354E+00-0.757090026E+00-0.755839875E+00 --0.754598901E+00-0.753367960E+00-0.752150585E+00-0.750946935E+00-0.749757010E+00 --0.748580810E+00-0.747418335E+00-0.746271605E+00-0.745141167E+00-0.744027652E+00 --0.742932956E+00-0.741857292E+00-0.740801515E+00-0.739765741E+00-0.738749970E+00 --0.737754907E+00-0.736783211E+00-0.735834769E+00-0.734909558E+00-0.734007553E+00 --0.733129515E+00-0.732277857E+00-0.731452579E+00-0.730653682E+00-0.729881164E+00 --0.729135248E+00-0.728417862E+00-0.727730089E+00-0.727071928E+00-0.726443381E+00 --0.725844446E+00-0.725275446E+00-0.724738737E+00-0.724234178E+00-0.723761834E+00 --0.723321952E+00-0.722914605E+00-0.722540941E+00-0.722201334E+00-0.721895828E+00 --0.721625654E+00-0.721391281E+00-0.721192708E+00-0.721029912E+00-0.720902566E+00 --0.720812564E+00-0.720760447E+00-0.720746138E+00-0.720769564E+00-0.720830726E+00 --0.720930171E+00-0.721069531E+00-0.721248582E+00-0.721466991E+00-0.721724669E+00 --0.722022455E+00-0.722361009E+00-0.722740220E+00-0.723160424E+00-0.723621872E+00 --0.724124565E+00-0.724668617E+00-0.725254694E+00-0.725882840E+00-0.726553105E+00 --0.727265409E+00-0.728019753E+00-0.728816136E+00-0.729655722E+00-0.730537747E+00 --0.731461820E+00-0.732427939E+00-0.733436107E+00-0.734486800E+00-0.735579144E+00 --0.736712636E+00-0.737887662E+00-0.739104333E+00-0.740362970E+00-0.741662245E+00 --0.743000235E+00-0.744377003E+00-0.745792651E+00-0.747247179E+00-0.748740586E+00 --0.750272882E+00-0.751841936E+00-0.753444723E+00-0.755081506E+00-0.756752286E+00 --0.758457002E+00-0.760192976E+00-0.761958770E+00-0.763754384E+00-0.765579309E+00 --0.767430906E+00-0.769308006E+00-0.771208833E+00-0.773133351E+00-0.775079272E+00 --0.777044079E+00-0.779026953E+00-0.781023624E+00-0.783034450E+00-0.785060483E+00 --0.787099558E+00-0.789147422E+00-0.791203901E+00-0.793265219E+00-0.795332439E+00 --0.797402976E+00-0.799476536E+00-0.801553126E+00-0.803633646E+00-0.805718456E+00 --0.807807555E+00-0.809901295E+00-0.811999909E+00-0.814102079E+00-0.816209849E+00 --0.818322541E+00-0.820439574E+00-0.822561211E+00-0.824689326E+00-0.826822857E+00 --0.828961675E+00-0.831106488E+00-0.833257057E+00-0.835413981E+00-0.837577261E+00 --0.839746897E+00-0.841922906E+00-0.844105853E+00-0.846295332E+00-0.848492089E+00 --0.850695847E+00-0.852906606E+00-0.855124367E+00-0.857350355E+00-0.859583184E+00 --0.861824300E+00-0.864073750E+00-0.866330951E+00-0.868595902E+00-0.870869400E+00 --0.873151518E+00-0.875442172E+00-0.877741633E+00-0.880050318E+00-0.882367525E+00 --0.884694291E+00-0.887030081E+00-0.889374890E+00-0.891729064E+00-0.894093335E+00 --0.896467703E+00-0.898852145E+00-0.901246324E+00-0.903650182E+00-0.906064968E+00 --0.908489724E+00-0.910925076E+00-0.913371237E+00-0.915828206E+00-0.918296288E+00 --0.920775424E+00-0.923265112E+00-0.925766375E+00-0.928279283E+00-0.930803837E+00 --0.933340033E+00-0.935887705E+00-0.938447609E+00-0.941019641E+00-0.943603754E+00 --0.946199949E+00-0.948808224E+00-0.951428805E+00-0.954062538E+00-0.956709325E+00 --0.959368783E+00-0.962041053E+00-0.964726135E+00-0.967424742E+00-0.970136765E+00 --0.972862095E+00-0.975600891E+00-0.978353153E+00-0.981119735E+00-0.983899968E+00 --0.986694163E+00-0.989502321E+00-0.992324746E+00-0.995161809E+00-0.998013043E+00 --0.100087887E+01-0.100375954E+01-0.100665503E+01-0.100956555E+01-0.101249093E+01 --0.101543141E+01-0.101838754E+01-0.102135891E+01-0.102434554E+01-0.102734740E+01 --0.103036255E+01-0.103339502E+01-0.103644682E+01-0.103951563E+01-0.104260030E+01 --0.836322733E+00-0.836037600E+00-0.835736937E+00-0.835420744E+00-0.835088990E+00 --0.834741705E+00-0.834378905E+00-0.834000589E+00-0.833606757E+00-0.833197410E+00 --0.832772548E+00-0.832331406E+00-0.831874055E+00-0.831400649E+00-0.830911183E+00 --0.830405628E+00-0.829883851E+00-0.829345866E+00-0.828791673E+00-0.828221280E+00 --0.827634704E+00-0.827031944E+00-0.826413074E+00-0.825777909E+00-0.825126449E+00 --0.824458741E+00-0.823774927E+00-0.823074898E+00-0.822358677E+00-0.821626479E+00 --0.820878167E+00-0.820113463E+00-0.819332558E+00-0.818535708E+00-0.817722862E+00 --0.816894041E+00-0.816049547E+00-0.815189126E+00-0.814312410E+00-0.813420067E+00 --0.812512098E+00-0.811588501E+00-0.810649227E+00-0.809693927E+00-0.808723686E+00 --0.807737898E+00-0.806736685E+00-0.805720054E+00-0.804688006E+00-0.803641345E+00 --0.802579876E+00-0.801503148E+00-0.800411206E+00-0.799304051E+00-0.798182342E+00 --0.797047247E+00-0.795897178E+00-0.794733097E+00-0.793555079E+00-0.792363310E+00 --0.791159204E+00-0.789942951E+00-0.788714435E+00-0.787474652E+00-0.786224461E+00 --0.784965572E+00-0.783698061E+00-0.782422225E+00-0.781138608E+00-0.779847598E+00 --0.778550467E+00-0.777247631E+00-0.775941473E+00-0.774632168E+00-0.773320005E+00 --0.772005134E+00-0.770689297E+00-0.769373699E+00-0.768058157E+00-0.766742438E+00 --0.765430139E+00-0.764122366E+00-0.762819058E+00-0.761520225E+00-0.760225868E+00 --0.758936985E+00-0.757655432E+00-0.756383236E+00-0.755120728E+00-0.753867909E+00 --0.752624777E+00-0.751391970E+00-0.750172886E+00-0.748968006E+00-0.747777332E+00 --0.746600862E+00-0.745438501E+00-0.744290573E+00-0.743160502E+00-0.742049313E+00 --0.740957006E+00-0.739883581E+00-0.738829275E+00-0.737794975E+00-0.736780971E+00 --0.735789636E+00-0.734821485E+00-0.733876517E+00-0.732954662E+00-0.732056130E+00 --0.731183088E+00-0.730336309E+00-0.729515791E+00-0.728721536E+00-0.727953647E+00 --0.727214147E+00-0.726503572E+00-0.725821886E+00-0.725169511E+00-0.724546748E+00 --0.723953614E+00-0.723391784E+00-0.722862105E+00-0.722364559E+00-0.721899032E+00 --0.721465585E+00-0.721065234E+00-0.720699307E+00-0.720367722E+00-0.720070375E+00 --0.719807583E+00-0.719580574E+00-0.719389581E+00-0.719234604E+00-0.719115707E+00 --0.719034305E+00-0.718990831E+00-0.718985105E+00-0.719017114E+00-0.719086859E+00 --0.719195434E+00-0.719343515E+00-0.719531092E+00-0.719758640E+00-0.720026048E+00 --0.720333344E+00-0.720681409E+00-0.721070243E+00-0.721500025E+00-0.721971055E+00 --0.722483567E+00-0.723038055E+00-0.723634527E+00-0.724273282E+00-0.724954208E+00 --0.725677174E+00-0.726442487E+00-0.727250377E+00-0.728100934E+00-0.728994216E+00 --0.729930195E+00-0.730908873E+00-0.731930150E+00-0.732994408E+00-0.734099921E+00 --0.735247078E+00-0.736435880E+00-0.737666327E+00-0.738939158E+00-0.740254110E+00 --0.741607845E+00-0.743000596E+00-0.744432370E+00-0.745903170E+00-0.747412994E+00 --0.748961842E+00-0.750547765E+00-0.752168622E+00-0.753824485E+00-0.755515333E+00 --0.757240495E+00-0.758997232E+00-0.760783789E+00-0.762600194E+00-0.764446415E+00 --0.766321765E+00-0.768221478E+00-0.770144789E+00-0.772091766E+00-0.774062390E+00 --0.776055003E+00-0.778062414E+00-0.780084976E+00-0.782122690E+00-0.784175362E+00 --0.786238838E+00-0.788311468E+00-0.790393252E+00-0.792484190E+00-0.794581578E+00 --0.796679032E+00-0.798779642E+00-0.800883409E+00-0.802990018E+00-0.805100738E+00 --0.807215747E+00-0.809335046E+00-0.811458052E+00-0.813585190E+00-0.815716866E+00 --0.817852729E+00-0.819992933E+00-0.822137476E+00-0.824287050E+00-0.826442303E+00 --0.828603206E+00-0.830770038E+00-0.832941882E+00-0.835119620E+00-0.837303723E+00 --0.839493857E+00-0.841689814E+00-0.843891592E+00-0.846100000E+00-0.848315483E+00 --0.850538010E+00-0.852767582E+00-0.855004200E+00-0.857247779E+00-0.859498686E+00 --0.861757373E+00-0.864023810E+00-0.866297998E+00-0.868579886E+00-0.870869768E+00 --0.873168270E+00-0.875475116E+00-0.877790246E+00-0.880113745E+00-0.882446366E+00 --0.884788060E+00-0.887138808E+00-0.889498579E+00-0.891867275E+00-0.894245819E+00 --0.896634064E+00-0.899031986E+00-0.901439587E+00-0.903856865E+00-0.906284357E+00 --0.908722107E+00-0.911170057E+00-0.913628803E+00-0.916098368E+00-0.918578507E+00 --0.921069240E+00-0.923570554E+00-0.926082839E+00-0.928606768E+00-0.931142343E+00 --0.933689563E+00-0.936248193E+00-0.938817969E+00-0.941399734E+00-0.943993672E+00 --0.946599781E+00-0.949218064E+00-0.951848519E+00-0.954491190E+00-0.957146634E+00 --0.959814809E+00-0.962495704E+00-0.965189319E+00-0.967895680E+00-0.970615318E+00 --0.973348406E+00-0.976094943E+00-0.978854900E+00-0.981627924E+00-0.984414771E+00 --0.987215580E+00-0.990030351E+00-0.992859366E+00-0.995702336E+00-0.998559439E+00 --0.100143052E+01-0.100431627E+01-0.100721684E+01-0.101013204E+01-0.101306149E+01 --0.101600610E+01-0.101896592E+01-0.102194098E+01-0.102493133E+01-0.102793692E+01 --0.103095622E+01-0.103399332E+01-0.103704628E+01-0.104011512E+01-0.104319982E+01 --0.835115975E+00-0.834824856E+00-0.834518221E+00-0.834196071E+00-0.833858405E+00 --0.833505224E+00-0.833136528E+00-0.832752316E+00-0.832352588E+00-0.831937345E+00 --0.831506587E+00-0.831059611E+00-0.830596444E+00-0.830117273E+00-0.829622171E+00 --0.829110849E+00-0.828583364E+00-0.828039715E+00-0.827479860E+00-0.826903809E+00 --0.826311719E+00-0.825703281E+00-0.825078486E+00-0.824437396E+00-0.823780009E+00 --0.823106326E+00-0.822416414E+00-0.821710503E+00-0.820988232E+00-0.820249616E+00 --0.819494610E+00-0.818723212E+00-0.817935437E+00-0.817131567E+00-0.816311699E+00 --0.815475833E+00-0.814623647E+00-0.813755421E+00-0.812870891E+00-0.811970254E+00 --0.811053765E+00-0.810121422E+00-0.809173226E+00-0.808209471E+00-0.807229418E+00 --0.806233190E+00-0.805221579E+00-0.804194625E+00-0.803152326E+00-0.802094518E+00 --0.801021076E+00-0.799932601E+00-0.798828962E+00-0.797710110E+00-0.796576005E+00 --0.795426628E+00-0.794263315E+00-0.793086065E+00-0.791894879E+00-0.790689724E+00 --0.789471474E+00-0.788241387E+00-0.787000604E+00-0.785749124E+00-0.784486950E+00 --0.783215496E+00-0.781935623E+00-0.780647304E+00-0.779352237E+00-0.778051353E+00 --0.776744401E+00-0.775431827E+00-0.774115823E+00-0.772796672E+00-0.771474834E+00 --0.770151248E+00-0.768827540E+00-0.767503803E+00-0.766180180E+00-0.764859206E+00 --0.763541066E+00-0.762227336E+00-0.760918198E+00-0.759613652E+00-0.758313719E+00 --0.757020911E+00-0.755736190E+00-0.754461431E+00-0.753196728E+00-0.751941818E+00 --0.750696595E+00-0.749462091E+00-0.748241584E+00-0.747035314E+00-0.745843457E+00 --0.744665931E+00-0.743502881E+00-0.742356931E+00-0.741228418E+00-0.740118829E+00 --0.739028349E+00-0.737956979E+00-0.736904719E+00-0.735871898E+00-0.734861096E+00 --0.733873413E+00-0.732908848E+00-0.731967402E+00-0.731049075E+00-0.730155293E+00 --0.729287628E+00-0.728445703E+00-0.727629972E+00-0.726840492E+00-0.726077967E+00 --0.725344367E+00-0.724639694E+00-0.723963947E+00-0.723317126E+00-0.722699402E+00 --0.722112617E+00-0.721557912E+00-0.721035288E+00-0.720544745E+00-0.720086282E+00 --0.719659899E+00-0.719266266E+00-0.718907375E+00-0.718582885E+00-0.718292866E+00 --0.718037604E+00-0.717818551E+00-0.717635695E+00-0.717488852E+00-0.717378026E+00 --0.717304263E+00-0.717268472E+00-0.717270653E+00-0.717310807E+00-0.717389163E+00 --0.717506405E+00-0.717663095E+00-0.717859231E+00-0.718094815E+00-0.718370777E+00 --0.718687242E+00-0.719044530E+00-0.719442639E+00-0.719881795E+00-0.720362470E+00 --0.720884997E+00-0.721449571E+00-0.722056194E+00-0.722704863E+00-0.723395806E+00 --0.724129644E+00-0.724905965E+00-0.725724772E+00-0.726586346E+00-0.727490665E+00 --0.728437682E+00-0.729427592E+00-0.730460673E+00-0.731536427E+00-0.732654887E+00 --0.733815658E+00-0.735018072E+00-0.736262129E+00-0.737548313E+00-0.738876470E+00 --0.740244678E+00-0.741652937E+00-0.743101114E+00-0.744588360E+00-0.746114629E+00 --0.747679924E+00-0.749282908E+00-0.750920966E+00-0.752594041E+00-0.754302535E+00 --0.756046576E+00-0.757823098E+00-0.759630399E+00-0.761467403E+00-0.763334170E+00 --0.765230679E+00-0.767153238E+00-0.769099356E+00-0.771069103E+00-0.773061482E+00 --0.775075524E+00-0.777109767E+00-0.779159161E+00-0.781223706E+00-0.783302541E+00 --0.785390783E+00-0.787488178E+00-0.789595479E+00-0.791713009E+00-0.793835685E+00 --0.795960135E+00-0.798087626E+00-0.800218156E+00-0.802351840E+00-0.804488514E+00 --0.806628706E+00-0.808772178E+00-0.810918931E+00-0.813069402E+00-0.815224252E+00 --0.817383003E+00-0.819546376E+00-0.821714091E+00-0.823885822E+00-0.826062563E+00 --0.828244953E+00-0.830432663E+00-0.832625198E+00-0.834823891E+00-0.837027618E+00 --0.839237166E+00-0.841452537E+00-0.843673730E+00-0.845900790E+00-0.848134739E+00 --0.850375732E+00-0.852623741E+00-0.854878320E+00-0.857139337E+00-0.859406976E+00 --0.861682276E+00-0.863965352E+00-0.866256206E+00-0.868554882E+00-0.870861254E+00 --0.873175320E+00-0.875497464E+00-0.877827892E+00-0.880166585E+00-0.882513713E+00 --0.884869913E+00-0.887235186E+00-0.889609413E+00-0.891992416E+00-0.894384261E+00 --0.896785667E+00-0.899196775E+00-0.901617586E+00-0.904048326E+00-0.906488785E+00 --0.908938844E+00-0.911399204E+00-0.913869865E+00-0.916350915E+00-0.918842629E+00 --0.921344958E+00-0.923857879E+00-0.926381440E+00-0.928916392E+00-0.931462901E+00 --0.934020505E+00-0.936589150E+00-0.939168836E+00-0.941760103E+00-0.944363543E+00 --0.946979155E+00-0.949606936E+00-0.952246439E+00-0.954898021E+00-0.957562141E+00 --0.960238541E+00-0.962927536E+00-0.965629252E+00-0.968343473E+00-0.971070673E+00 --0.973811356E+00-0.976565218E+00-0.979331936E+00-0.982111512E+00-0.984904680E+00 --0.987711814E+00-0.990532832E+00-0.993367537E+00-0.996215949E+00-0.999078386E+00 --0.100195472E+01-0.100484572E+01-0.100775098E+01-0.101067040E+01-0.101360398E+01 --0.101655214E+01-0.101951553E+01-0.102249413E+01-0.102548766E+01-0.102849550E+01 --0.103152149E+01-0.103455878E+01-0.103761101E+01-0.104067919E+01-0.104376332E+01 --0.833954266E+00-0.833656707E+00-0.833343789E+00-0.833015511E+00-0.832671874E+00 --0.832312798E+00-0.831938205E+00-0.831548097E+00-0.831142474E+00-0.830721335E+00 --0.830284681E+00-0.829831871E+00-0.829362879E+00-0.828877898E+00-0.828376957E+00 --0.827859856E+00-0.827326591E+00-0.826777161E+00-0.826211568E+00-0.825629810E+00 --0.825031813E+00-0.824417415E+00-0.823786682E+00-0.823139615E+00-0.822476214E+00 --0.821796479E+00-0.821100401E+00-0.820388063E+00-0.819659178E+00-0.818913690E+00 --0.818151870E+00-0.817373718E+00-0.816579198E+00-0.815768392E+00-0.814941166E+00 --0.814097521E+00-0.813237455E+00-0.812361107E+00-0.811468486E+00-0.810559535E+00 --0.809634314E+00-0.808693223E+00-0.807736153E+00-0.806762675E+00-0.805772755E+00 --0.804766393E+00-0.803744202E+00-0.802706666E+00-0.801653654E+00-0.800584284E+00 --0.799498398E+00-0.798397001E+00-0.797280550E+00-0.796149044E+00-0.795001121E+00 --0.793838510E+00-0.792661838E+00-0.791471244E+00-0.790266726E+00-0.789048242E+00 --0.787816828E+00-0.786574939E+00-0.785322462E+00-0.784059285E+00-0.782785412E+00 --0.781501414E+00-0.780209081E+00-0.778910223E+00-0.777605063E+00-0.776293603E+00 --0.774976576E+00-0.773654141E+00-0.772328783E+00-0.771001319E+00-0.769671705E+00 --0.768340111E+00-0.767007898E+00-0.765676359E+00-0.764347468E+00-0.763021226E+00 --0.761697642E+00-0.760377889E+00-0.759062728E+00-0.757752180E+00-0.756448500E+00 --0.755153105E+00-0.753865996E+00-0.752587838E+00-0.751319732E+00-0.750061694E+00 --0.748814180E+00-0.747579718E+00-0.746358644E+00-0.745151850E+00-0.743959388E+00 --0.742781320E+00-0.741619662E+00-0.740475383E+00-0.739348493E+00-0.738240026E+00 --0.737150668E+00-0.736080420E+00-0.735030291E+00-0.734001341E+00-0.732993724E+00 --0.732009760E+00-0.731049051E+00-0.730111461E+00-0.729196989E+00-0.728307577E+00 --0.727444183E+00-0.726606790E+00-0.725795589E+00-0.725010274E+00-0.724253847E+00 --0.723526063E+00-0.722826870E+00-0.722156269E+00-0.721515345E+00-0.720904849E+00 --0.720324313E+00-0.719775977E+00-0.719259841E+00-0.718775904E+00-0.718324166E+00 --0.717904628E+00-0.717518210E+00-0.717166721E+00-0.716849734E+00-0.716567204E+00 --0.716319269E+00-0.716107367E+00-0.715931849E+00-0.715792714E+00-0.715689961E+00 --0.715623866E+00-0.715595706E+00-0.715605687E+00-0.715654029E+00-0.715740734E+00 --0.715866034E+00-0.716030861E+00-0.716235136E+00-0.716479122E+00-0.716763692E+00 --0.717088799E+00-0.717454686E+00-0.717861395E+00-0.718309349E+00-0.718799378E+00 --0.719331297E+00-0.719905032E+00-0.720520823E+00-0.721178960E+00-0.721879528E+00 --0.722623043E+00-0.723409597E+00-0.724239319E+00-0.725111915E+00-0.726027095E+00 --0.726985184E+00-0.727986334E+00-0.729030663E+00-0.730117869E+00-0.731247758E+00 --0.732420331E+00-0.733635591E+00-0.734893206E+00-0.736193225E+00-0.737534978E+00 --0.738916782E+00-0.740338636E+00-0.741800540E+00-0.743302496E+00-0.744844502E+00 --0.746426558E+00-0.748046246E+00-0.749701359E+00-0.751392074E+00-0.753118392E+00 --0.754880359E+00-0.756674781E+00-0.758500056E+00-0.760356184E+00-0.762243165E+00 --0.764160580E+00-0.766105827E+00-0.768075367E+00-0.770066564E+00-0.772079420E+00 --0.774113934E+00-0.776170105E+00-0.778246123E+00-0.780338534E+00-0.782441894E+00 --0.784554506E+00-0.786677339E+00-0.788810394E+00-0.790953670E+00-0.793101482E+00 --0.795252205E+00-0.797405571E+00-0.799561411E+00-0.801719739E+00-0.803881070E+00 --0.806045495E+00-0.808213047E+00-0.810383925E+00-0.812557890E+00-0.814735190E+00 --0.816916392E+00-0.819101495E+00-0.821290790E+00-0.823485643E+00-0.825683871E+00 --0.827887313E+00-0.830095006E+00-0.832307160E+00-0.834524896E+00-0.836748210E+00 --0.838977103E+00-0.841211606E+00-0.843452213E+00-0.845698228E+00-0.847950586E+00 --0.850209477E+00-0.852474807E+00-0.854746575E+00-0.857024781E+00-0.859309426E+00 --0.861601002E+00-0.863900696E+00-0.866207261E+00-0.868521468E+00-0.870843370E+00 --0.873172969E+00-0.875510263E+00-0.877855253E+00-0.880209179E+00-0.882570876E+00 --0.884941248E+00-0.887320396E+00-0.889708321E+00-0.892105021E+00-0.894510498E+00 --0.896924752E+00-0.899348874E+00-0.901782596E+00-0.904225774E+00-0.906678406E+00 --0.909140492E+00-0.911612525E+00-0.914094892E+00-0.916587273E+00-0.919090030E+00 --0.921603477E+00-0.924127615E+00-0.926662375E+00-0.929207718E+00-0.931764292E+00 --0.934331907E+00-0.936910563E+00-0.939500261E+00-0.942101156E+00-0.944714098E+00 --0.947338999E+00-0.949975447E+00-0.952623521E+00-0.955283417E+00-0.957955666E+00 --0.960640249E+00-0.963337166E+00-0.966046694E+00-0.968768505E+00-0.971503285E+00 --0.974250922E+00-0.977011415E+00-0.979784765E+00-0.982570972E+00-0.985370465E+00 --0.988183648E+00-0.991010090E+00-0.993850240E+00-0.996704013E+00-0.999571047E+00 --0.100245228E+01-0.100534779E+01-0.100825738E+01-0.101118106E+01-0.101411890E+01 --0.101707072E+01-0.102003770E+01-0.102301929E+01-0.102601530E+01-0.102902573E+01 --0.103205290E+01-0.103509422E+01-0.103814964E+01-0.104121691E+01-0.104430012E+01 --0.832836295E+00-0.832532546E+00-0.832213438E+00-0.831878969E+00-0.831529142E+00 --0.831163954E+00-0.830783407E+00-0.830387500E+00-0.829976234E+00-0.829549380E+00 --0.829106829E+00-0.828648111E+00-0.828173161E+00-0.827682299E+00-0.827175518E+00 --0.826652638E+00-0.826113593E+00-0.825558364E+00-0.824986880E+00-0.824399141E+00 --0.823795153E+00-0.823174813E+00-0.822538014E+00-0.821884781E+00-0.821215214E+00 --0.820529269E+00-0.819826720E+00-0.819107671E+00-0.818372215E+00-0.817619968E+00 --0.816851095E+00-0.816065891E+00-0.815264314E+00-0.814446071E+00-0.813611135E+00 --0.812759681E+00-0.811891832E+00-0.811007199E+00-0.810106118E+00-0.809188708E+00 --0.808254603E+00-0.807303665E+00-0.806336741E+00-0.805353410E+00-0.804353664E+00 --0.803337447E+00-0.802304840E+00-0.801256496E+00-0.800191734E+00-0.799110478E+00 --0.798012725E+00-0.796898631E+00-0.795769280E+00-0.794624078E+00-0.793463171E+00 --0.792287797E+00-0.791097945E+00-0.789893874E+00-0.788675881E+00-0.787444254E+00 --0.786201009E+00-0.784946512E+00-0.783681370E+00-0.782405788E+00-0.781119761E+00 --0.779823707E+00-0.778521283E+00-0.777212576E+00-0.775897585E+00-0.774576310E+00 --0.773248752E+00-0.771917400E+00-0.770583981E+00-0.769248439E+00-0.767910774E+00 --0.766571236E+00-0.765231387E+00-0.763894431E+00-0.762560272E+00-0.761228761E+00 --0.759899898E+00-0.758574091E+00-0.757252909E+00-0.755938357E+00-0.754632090E+00 --0.753334108E+00-0.752044412E+00-0.750763000E+00-0.749491372E+00-0.748230675E+00 --0.746982991E+00-0.745748449E+00-0.744527049E+00-0.743319225E+00-0.742126025E+00 --0.740948658E+00-0.739788671E+00-0.738646064E+00-0.737520836E+00-0.736413462E+00 --0.735325232E+00-0.734257285E+00-0.733210463E+00-0.732184765E+00-0.731180584E+00 --0.730199858E+00-0.729242754E+00-0.728309019E+00-0.727398529E+00-0.726513404E+00 --0.725654283E+00-0.724821585E+00-0.724015347E+00-0.723235887E+00-0.722484800E+00 --0.721762303E+00-0.721068398E+00-0.720403789E+00-0.719769275E+00-0.719164829E+00 --0.718590727E+00-0.718048584E+00-0.717538642E+00-0.717060952E+00-0.716615688E+00 --0.716202855E+00-0.715823649E+00-0.715479012E+00-0.715168936E+00-0.714893587E+00 --0.714653038E+00-0.714448288E+00-0.714279921E+00-0.714147969E+00-0.714052362E+00 --0.713993434E+00-0.713972871E+00-0.713990875E+00-0.714047408E+00-0.714142305E+00 --0.714275564E+00-0.714447815E+00-0.714660214E+00-0.714912489E+00-0.715205263E+00 --0.715538537E+00-0.715912787E+00-0.716328036E+00-0.716784383E+00-0.717282798E+00 --0.717823200E+00-0.718405641E+00-0.719030828E+00-0.719698338E+00-0.720408248E+00 --0.721160982E+00-0.721956741E+00-0.722795748E+00-0.723678162E+00-0.724603737E+00 --0.725572323E+00-0.726584030E+00-0.727639749E+00-0.728738429E+00-0.729879770E+00 --0.731063795E+00-0.732290503E+00-0.733559925E+00-0.734872333E+00-0.736227535E+00 --0.737623322E+00-0.739059382E+00-0.740535717E+00-0.742052325E+00-0.743608942E+00 --0.745204080E+00-0.746837523E+00-0.748509270E+00-0.750217921E+00-0.751962062E+00 --0.753742041E+00-0.755554362E+00-0.757397536E+00-0.759271563E+00-0.761177133E+00 --0.763114242E+00-0.765078402E+00-0.767069596E+00-0.769082562E+00-0.771116984E+00 --0.773172862E+00-0.775250197E+00-0.777348223E+00-0.779464025E+00-0.781591769E+00 --0.783729746E+00-0.785877958E+00-0.788036405E+00-0.790204593E+00-0.792378512E+00 --0.794554329E+00-0.796732632E+00-0.798913422E+00-0.801096673E+00-0.803281631E+00 --0.805469683E+00-0.807660830E+00-0.809854988E+00-0.812051539E+00-0.814250788E+00 --0.816453912E+00-0.818660955E+00-0.820871916E+00-0.823087006E+00-0.825306410E+00 --0.827530074E+00-0.829757976E+00-0.831990021E+00-0.834226768E+00-0.836469092E+00 --0.838716995E+00-0.840970475E+00-0.843229071E+00-0.845492462E+00-0.847761909E+00 --0.850037813E+00-0.852320174E+00-0.854608993E+00-0.856904269E+00-0.859206001E+00 --0.861513885E+00-0.863828755E+00-0.866150645E+00-0.868480163E+00-0.870817309E+00 --0.873162082E+00-0.875514484E+00-0.877874405E+00-0.880241773E+00-0.882618113E+00 --0.885001890E+00-0.887394285E+00-0.889795434E+00-0.892205337E+00-0.894623995E+00 --0.897051721E+00-0.899488306E+00-0.901933679E+00-0.904388696E+00-0.906853389E+00 --0.909327583E+00-0.911811232E+00-0.914304893E+00-0.916808663E+00-0.919322457E+00 --0.921846878E+00-0.924381500E+00-0.926926260E+00-0.929481379E+00-0.932047530E+00 --0.934624741E+00-0.937213011E+00-0.939812341E+00-0.942422893E+00-0.945044685E+00 --0.947678116E+00-0.950323050E+00-0.952979489E+00-0.955648354E+00-0.958328815E+00 --0.961021120E+00-0.963725597E+00-0.966442247E+00-0.969171047E+00-0.971912349E+00 --0.974666501E+00-0.977433502E+00-0.980213387E+00-0.983006225E+00-0.985811813E+00 --0.988630440E+00-0.991462688E+00-0.994308156E+00-0.997166845E+00-0.100003875E+01 --0.100292422E+01-0.100582378E+01-0.100873742E+01-0.101166516E+01-0.101460632E+01 --0.101756208E+01-0.102053217E+01-0.102351635E+01-0.102651496E+01-0.102952798E+01 --0.103255634E+01-0.103559883E+01-0.103865548E+01-0.104172626E+01-0.104481072E+01 --0.831761981E+00-0.831452042E+00-0.831126743E+00-0.830786085E+00-0.830430067E+00 --0.830058689E+00-0.829671952E+00-0.829269855E+00-0.828852398E+00-0.828419872E+00 --0.827972309E+00-0.827507941E+00-0.827027185E+00-0.826530477E+00-0.826017879E+00 --0.825489193E+00-0.824944253E+00-0.824383058E+00-0.823805607E+00-0.823211901E+00 --0.822601897E+00-0.821975403E+00-0.821332485E+00-0.820673143E+00-0.819997312E+00 --0.819304868E+00-0.818595788E+00-0.817870084E+00-0.817127701E+00-0.816368547E+00 --0.815592622E+00-0.814800267E+00-0.813991376E+00-0.813165395E+00-0.812322721E+00 --0.811463355E+00-0.810586987E+00-0.809694541E+00-0.808784754E+00-0.807858138E+00 --0.806914693E+00-0.805954418E+00-0.804977299E+00-0.803983727E+00-0.802973740E+00 --0.801947337E+00-0.800903715E+00-0.799843370E+00-0.798766597E+00-0.797673304E+00 --0.796563575E+00-0.795437440E+00-0.794295218E+00-0.793136074E+00-0.791962411E+00 --0.790774282E+00-0.789571685E+00-0.788354621E+00-0.787123181E+00-0.785879384E+00 --0.784624452E+00-0.783358287E+00-0.782080646E+00-0.780792350E+00-0.779495210E+00 --0.778189210E+00-0.776876900E+00-0.775558752E+00-0.774234183E+00-0.772903330E+00 --0.771566384E+00-0.770226526E+00-0.768884545E+00-0.767540375E+00-0.766195476E+00 --0.764849912E+00-0.763503972E+00-0.762160396E+00-0.760819798E+00-0.759482179E+00 --0.758147537E+00-0.756816533E+00-0.755491673E+00-0.754174446E+00-0.752865418E+00 --0.751564589E+00-0.750271959E+00-0.748987528E+00-0.747714207E+00-0.746452720E+00 --0.745204308E+00-0.743969031E+00-0.742746888E+00-0.741538566E+00-0.740345789E+00 --0.739169483E+00-0.738010656E+00-0.736869308E+00-0.735745438E+00-0.734639374E+00 --0.733553534E+00-0.732488687E+00-0.731444880E+00-0.730422111E+00-0.729421432E+00 --0.728444329E+00-0.727490611E+00-0.726560278E+00-0.725653782E+00-0.724773593E+00 --0.723919865E+00-0.723092598E+00-0.722291793E+00-0.721517448E+00-0.720771587E+00 --0.720054363E+00-0.719365669E+00-0.718707042E+00-0.718078485E+00-0.717479995E+00 --0.716911731E+00-0.716375659E+00-0.715872018E+00-0.715400807E+00-0.714962028E+00 --0.714555633E+00-0.714183373E+00-0.713845586E+00-0.713542224E+00-0.713273286E+00 --0.713039691E+00-0.712842383E+00-0.712681302E+00-0.712556526E+00-0.712468021E+00 --0.712416200E+00-0.712402946E+00-0.712428259E+00-0.712492140E+00-0.712594589E+00 --0.712735605E+00-0.712914954E+00-0.713134588E+00-0.713394784E+00-0.713695624E+00 --0.714037095E+00-0.714419074E+00-0.714842238E+00-0.715307266E+00-0.715813925E+00 --0.716362214E+00-0.716952890E+00-0.717586437E+00-0.718262815E+00-0.718981997E+00 --0.719743956E+00-0.720549117E+00-0.721397518E+00-0.722289158E+00-0.723224524E+00 --0.724202983E+00-0.725224644E+00-0.726290078E+00-0.727399290E+00-0.728552030E+00 --0.729747394E+00-0.730985509E+00-0.732266483E+00-0.733590196E+00-0.734956002E+00 --0.736363812E+00-0.737813700E+00-0.739305532E+00-0.740837425E+00-0.742407622E+00 --0.744016124E+00-0.745662930E+00-0.747348041E+00-0.749071457E+00-0.750833176E+00 --0.752631191E+00-0.754460790E+00-0.756322005E+00-0.758214837E+00-0.760139285E+00 --0.762094008E+00-0.764075967E+00-0.766085069E+00-0.768120316E+00-0.770177186E+00 --0.772255513E+00-0.774354845E+00-0.776472357E+00-0.778607573E+00-0.780759326E+00 --0.782922034E+00-0.785094976E+00-0.787277894E+00-0.789468534E+00-0.791665817E+00 --0.793866180E+00-0.796069129E+00-0.798274665E+00-0.800482762E+00-0.802691550E+00 --0.804903305E+00-0.807117332E+00-0.809333629E+00-0.811552197E+00-0.813773035E+00 --0.815997137E+00-0.818225282E+00-0.820457144E+00-0.822692483E+00-0.824931658E+00 --0.827174668E+00-0.829421572E+00-0.831673782E+00-0.833929538E+00-0.836191014E+00 --0.838457476E+00-0.840728711E+00-0.843004721E+00-0.845285504E+00-0.847571729E+00 --0.849864406E+00-0.852163540E+00-0.854469057E+00-0.856780409E+00-0.859097574E+00 --0.861421367E+00-0.863752029E+00-0.866088945E+00-0.868433247E+00-0.870785177E+00 --0.873144545E+00-0.875511013E+00-0.877884580E+00-0.880266135E+00-0.882655708E+00 --0.885053252E+00-0.887458775E+00-0.889872841E+00-0.892295657E+00-0.894727100E+00 --0.897167112E+00-0.899615691E+00-0.902072839E+00-0.904539076E+00-0.907014998E+00 --0.909500606E+00-0.911995900E+00-0.914500873E+00-0.917015219E+00-0.919539769E+00 --0.922074354E+00-0.924619078E+00-0.927173941E+00-0.929738887E+00-0.932314607E+00 --0.934901387E+00-0.937498890E+00-0.940106973E+00-0.942726459E+00-0.945357062E+00 --0.947998491E+00-0.950651423E+00-0.953315859E+00-0.955992678E+00-0.958680781E+00 --0.961380378E+00-0.964092155E+00-0.966816067E+00-0.969552058E+00-0.972300117E+00 --0.975060650E+00-0.977834032E+00-0.980620132E+00-0.983418538E+00-0.986229663E+00 --0.989054029E+00-0.991891336E+00-0.994741679E+00-0.997605242E+00-0.100048203E+01 --0.100337173E+01-0.100627533E+01-0.100919289E+01-0.101212383E+01-0.101506809E+01 --0.101802659E+01-0.102099927E+01-0.102398612E+01-0.102698714E+01-0.103000225E+01 --0.103303179E+01-0.103607547E+01-0.103913330E+01-0.104220527E+01-0.104529138E+01 --0.830731324E+00-0.830415195E+00-0.830083706E+00-0.829736857E+00-0.829374649E+00 --0.828997081E+00-0.828604211E+00-0.828196196E+00-0.827773040E+00-0.827334746E+00 --0.826881311E+00-0.826411177E+00-0.825924689E+00-0.825422220E+00-0.824903787E+00 --0.824369268E+00-0.823818421E+00-0.823251247E+00-0.822667821E+00-0.822068149E+00 --0.821452149E+00-0.820819502E+00-0.820170371E+00-0.819504624E+00-0.818822336E+00 --0.818123308E+00-0.817407605E+00-0.816675302E+00-0.815925992E+00-0.815159911E+00 --0.814377059E+00-0.813577311E+00-0.812760749E+00-0.811926965E+00-0.811076260E+00 --0.810208635E+00-0.809324088E+00-0.808423104E+00-0.807504574E+00-0.806568659E+00 --0.805615878E+00-0.804646267E+00-0.803659218E+00-0.802655405E+00-0.801635147E+00 --0.800597617E+00-0.799542566E+00-0.798470160E+00-0.797381146E+00-0.796275612E+00 --0.795153559E+00-0.794014136E+00-0.792857940E+00-0.791686252E+00-0.790499751E+00 --0.789298786E+00-0.788083357E+00-0.786853466E+00-0.785609337E+00-0.784353982E+00 --0.783087528E+00-0.781809806E+00-0.780520924E+00-0.779222994E+00-0.777916268E+00 --0.776600381E+00-0.775277943E+00-0.773949698E+00-0.772615648E+00-0.771275791E+00 --0.769929779E+00-0.768580935E+00-0.767231426E+00-0.765881251E+00-0.764530412E+00 --0.763178907E+00-0.761826796E+00-0.760476603E+00-0.759129389E+00-0.757785063E+00 --0.756445762E+00-0.755112617E+00-0.753785629E+00-0.752465033E+00-0.751152647E+00 --0.749848460E+00-0.748552472E+00-0.747266338E+00-0.745992426E+00-0.744730469E+00 --0.743480807E+00-0.742244279E+00-0.741021581E+00-0.739814505E+00-0.738623066E+00 --0.737447567E+00-0.736289402E+00-0.735148716E+00-0.734026258E+00-0.732922761E+00 --0.731839698E+00-0.730777864E+00-0.729737031E+00-0.728717239E+00-0.727720026E+00 --0.726746543E+00-0.725796570E+00-0.724869975E+00-0.723967636E+00-0.723091906E+00 --0.722242856E+00-0.721420484E+00-0.720624792E+00-0.719855778E+00-0.719113792E+00 --0.718401490E+00-0.717719106E+00-0.717066638E+00-0.716444086E+00-0.715851450E+00 --0.715289107E+00-0.714759045E+00-0.714261429E+00-0.713796257E+00-0.713364019E+00 --0.712964991E+00-0.712599275E+00-0.712267807E+00-0.711970765E+00-0.711708303E+00 --0.711481784E+00-0.711291403E+00-0.711137163E+00-0.711019061E+00-0.710937040E+00 --0.710892689E+00-0.710886774E+00-0.710919285E+00-0.710990222E+00-0.711099584E+00 --0.711247371E+00-0.711434327E+00-0.711661724E+00-0.711929225E+00-0.712237243E+00 --0.712585905E+00-0.712975418E+00-0.713406611E+00-0.713879618E+00-0.714394354E+00 --0.714950708E+00-0.715549384E+00-0.716190890E+00-0.716875260E+00-0.717602510E+00 --0.718372751E+00-0.719186570E+00-0.720043995E+00-0.720944967E+00-0.721889407E+00 --0.722877221E+00-0.723908631E+00-0.724983608E+00-0.726102083E+00-0.727264770E+00 --0.728471377E+00-0.729720418E+00-0.731012626E+00-0.732347653E+00-0.733724663E+00 --0.735143550E+00-0.736605286E+00-0.738109632E+00-0.739654309E+00-0.741238941E+00 --0.742862033E+00-0.744523475E+00-0.746223268E+00-0.747961411E+00-0.749737662E+00 --0.751549050E+00-0.753395265E+00-0.755273884E+00-0.757184533E+00-0.759127374E+00 --0.761099906E+00-0.763099716E+00-0.765126617E+00-0.767180662E+00-0.769259922E+00 --0.771360935E+00-0.773480286E+00-0.775617341E+00-0.777772101E+00-0.779944566E+00 --0.782132184E+00-0.784329869E+00-0.786535474E+00-0.788748320E+00-0.790968408E+00 --0.793192747E+00-0.795419501E+00-0.797648842E+00-0.799880023E+00-0.802112903E+00 --0.804346396E+00-0.806581544E+00-0.808819249E+00-0.811059510E+00-0.813302328E+00 --0.815547508E+00-0.817795651E+00-0.820047009E+00-0.822302272E+00-0.824561092E+00 --0.826823470E+00-0.829089405E+00-0.831360235E+00-0.833635486E+00-0.835913976E+00 --0.838197415E+00-0.840485803E+00-0.842779141E+00-0.845077395E+00-0.847380642E+00 --0.849690013E+00-0.852005197E+00-0.854326195E+00-0.856653007E+00-0.858985656E+00 --0.861324645E+00-0.863670147E+00-0.866022111E+00-0.868381105E+00-0.870747125E+00 --0.873120245E+00-0.875500464E+00-0.877887630E+00-0.880282465E+00-0.882685270E+00 --0.885096006E+00-0.887514306E+00-0.889940776E+00-0.892375435E+00-0.894818611E+00 --0.897270537E+00-0.899731112E+00-0.902200255E+00-0.904677976E+00-0.907165118E+00 --0.909661939E+00-0.912167979E+00-0.914683157E+00-0.917207542E+00-0.919741880E+00 --0.922286360E+00-0.924840980E+00-0.927405742E+00-0.929980655E+00-0.932565776E+00 --0.935161478E+00-0.937767762E+00-0.940384627E+00-0.943012750E+00-0.945651509E+00 --0.948301002E+00-0.950961932E+00-0.953634377E+00-0.956318328E+00-0.959013592E+00 --0.961720114E+00-0.964438575E+00-0.967169216E+00-0.969912037E+00-0.972667038E+00 --0.975434057E+00-0.978213308E+00-0.981004909E+00-0.983808858E+00-0.986625172E+00 --0.989454315E+00-0.992296437E+00-0.995151541E+00-0.998019625E+00-0.100090086E+01 --0.100379506E+01-0.100670271E+01-0.100962367E+01-0.101255795E+01-0.101550550E+01 --0.101846652E+01-0.102144172E+01-0.102443109E+01-0.102743400E+01-0.103045010E+01 --0.103348055E+01-0.103652513E+01-0.103958386E+01-0.104265673E+01-0.104574374E+01 --0.829744324E+00-0.829422004E+00-0.829084286E+00-0.828730958E+00-0.828362491E+00 --0.827978883E+00-0.827580136E+00-0.827166249E+00-0.826737222E+00-0.826293056E+00 --0.825833749E+00-0.825357849E+00-0.824865688E+00-0.824357517E+00-0.823833314E+00 --0.823292929E+00-0.822736218E+00-0.822163179E+00-0.821573812E+00-0.820968119E+00 --0.820345950E+00-0.819707142E+00-0.819051690E+00-0.818379619E+00-0.817690847E+00 --0.816985242E+00-0.816262815E+00-0.815523461E+00-0.814767403E+00-0.813994116E+00 --0.813203790E+00-0.812396424E+00-0.811572157E+00-0.810730922E+00-0.809872300E+00 --0.808996509E+00-0.808103790E+00-0.807193734E+00-0.806266130E+00-0.805320976E+00 --0.804358272E+00-0.803379211E+00-0.802382498E+00-0.801368385E+00-0.800336999E+00 --0.799288094E+00-0.798221669E+00-0.797137485E+00-0.796036148E+00-0.794917933E+00 --0.793782839E+00-0.792630866E+00-0.791462300E+00-0.790278510E+00-0.789079641E+00 --0.787865778E+00-0.786637444E+00-0.785395037E+00-0.784140264E+00-0.782873590E+00 --0.781595880E+00-0.780306901E+00-0.779007586E+00-0.777699565E+00-0.776382935E+00 --0.775057203E+00-0.773724637E+00-0.772386235E+00-0.771042864E+00-0.769694954E+00 --0.768342503E+00-0.766986278E+00-0.765629586E+00-0.764272647E+00-0.762915463E+00 --0.761558033E+00-0.760200111E+00-0.758842140E+00-0.757488236E+00-0.756140489E+00 --0.754798899E+00-0.753463465E+00-0.752134188E+00-0.750811067E+00-0.749494103E+00 --0.748186295E+00-0.746887701E+00-0.745600979E+00-0.744326242E+00-0.743063488E+00 --0.741812531E+00-0.740575197E+00-0.739353708E+00-0.738147857E+00-0.736957644E+00 --0.735783068E+00-0.734625293E+00-0.733486612E+00-0.732366745E+00-0.731265636E+00 --0.730184999E+00-0.729125865E+00-0.728088029E+00-0.727071297E+00-0.726077560E+00 --0.725107553E+00-0.724161274E+00-0.723238229E+00-0.722340423E+00-0.721469409E+00 --0.720624899E+00-0.719806864E+00-0.719015304E+00-0.718251277E+00-0.717515631E+00 --0.716808607E+00-0.716131771E+00-0.715485097E+00-0.714868333E+00-0.714281485E+00 --0.713725112E+00-0.713200939E+00-0.712708870E+00-0.712250010E+00-0.711824362E+00 --0.711431924E+00-0.711072697E+00-0.710746681E+00-0.710455169E+00-0.710199600E+00 --0.709979897E+00-0.709796062E+00-0.709648094E+00-0.709535992E+00-0.709461721E+00 --0.709424282E+00-0.709424862E+00-0.709463992E+00-0.709541670E+00-0.709657885E+00 --0.709812615E+00-0.710007053E+00-0.710241570E+00-0.710516166E+00-0.710831165E+00 --0.711186943E+00-0.711583714E+00-0.712022119E+00-0.712502158E+00-0.713024276E+00 --0.713588485E+00-0.714195026E+00-0.714844399E+00-0.715536643E+00-0.716271756E+00 --0.717050049E+00-0.717871951E+00-0.718737401E+00-0.719646371E+00-0.720599361E+00 --0.721596737E+00-0.722637529E+00-0.723721820E+00-0.724849671E+00-0.726021598E+00 --0.727237536E+00-0.728497315E+00-0.729800090E+00-0.731146109E+00-0.732534461E+00 --0.733964956E+00-0.735437823E+00-0.736953025E+00-0.738509642E+00-0.740106087E+00 --0.741742352E+00-0.743418351E+00-0.745132969E+00-0.746885938E+00-0.748675943E+00 --0.750501127E+00-0.752361569E+00-0.754256902E+00-0.756184621E+00-0.758144821E+00 --0.760133970E+00-0.762150531E+00-0.764194506E+00-0.766266517E+00-0.768365382E+00 --0.770486378E+00-0.772626291E+00-0.774783939E+00-0.776959322E+00-0.779152440E+00 --0.781360390E+00-0.783581009E+00-0.785808900E+00-0.788043953E+00-0.790286247E+00 --0.792534793E+00-0.794785353E+00-0.797037694E+00-0.799290574E+00-0.801544107E+00 --0.803799356E+00-0.806056427E+00-0.808314879E+00-0.810575700E+00-0.812839077E+00 --0.815105010E+00-0.817373350E+00-0.819644602E+00-0.821918778E+00-0.824196191E+00 --0.826477161E+00-0.828761996E+00-0.831050668E+00-0.833343152E+00-0.835639449E+00 --0.837939576E+00-0.840244450E+00-0.842554275E+00-0.844869048E+00-0.847188617E+00 --0.849513626E+00-0.851844350E+00-0.854180789E+00-0.856522659E+00-0.858870723E+00 --0.861224436E+00-0.863584258E+00-0.865950191E+00-0.868322800E+00-0.870702479E+00 --0.873089228E+00-0.875483118E+00-0.877883655E+00-0.880291616E+00-0.882707120E+00 --0.885130167E+00-0.887560958E+00-0.889999746E+00-0.892446270E+00-0.894900725E+00 --0.897363874E+00-0.899835749E+00-0.902316350E+00-0.904805575E+00-0.907303388E+00 --0.909810578E+00-0.912326878E+00-0.914852317E+00-0.917386869E+00-0.919930971E+00 --0.922485214E+00-0.925049379E+00-0.927623075E+00-0.930206733E+00-0.932800807E+00 --0.935405229E+00-0.938020294E+00-0.940645876E+00-0.943281900E+00-0.945928491E+00 --0.948585649E+00-0.951254577E+00-0.953934664E+00-0.956625535E+00-0.959327719E+00 --0.962041216E+00-0.964766355E+00-0.967503679E+00-0.970252966E+00-0.973013614E+00 --0.975786108E+00-0.978570964E+00-0.981368064E+00-0.984177558E+00-0.986999062E+00 --0.989832980E+00-0.992679879E+00-0.995539662E+00-0.998411923E+00-0.100129663E+01 --0.100419464E+01-0.100710583E+01-0.101003013E+01-0.101296774E+01-0.101591834E+01 --0.101888189E+01-0.102185970E+01-0.102485101E+01-0.102785555E+01-0.103087332E+01 --0.103390464E+01-0.103695010E+01-0.104000970E+01-0.104308345E+01-0.104617133E+01 --0.828800114E+00-0.828471194E+00-0.828127134E+00-0.827767935E+00-0.827393596E+00 --0.827004117E+00-0.826599498E+00-0.826179739E+00-0.825744841E+00-0.825294803E+00 --0.824829625E+00-0.824348123E+00-0.823850330E+00-0.823336452E+00-0.822806478E+00 --0.822260229E+00-0.821697648E+00-0.821118706E+00-0.820523394E+00-0.819911714E+00 --0.819283499E+00-0.818638511E+00-0.817976752E+00-0.817298221E+00-0.816602985E+00 --0.815890800E+00-0.815161580E+00-0.814415326E+00-0.813652579E+00-0.812872117E+00 --0.812074337E+00-0.811259518E+00-0.810427593E+00-0.809578201E+00-0.808711445E+00 --0.807827326E+00-0.806925910E+00-0.806006781E+00-0.805070094E+00-0.804115813E+00 --0.803143938E+00-0.802154470E+00-0.801147527E+00-0.800122462E+00-0.799079796E+00 --0.798019532E+00-0.796941667E+00-0.795845892E+00-0.794732684E+00-0.793602152E+00 --0.792454577E+00-0.791290121E+00-0.790109167E+00-0.788913136E+00-0.787702027E+00 --0.786475845E+00-0.785235258E+00-0.783982354E+00-0.782717279E+00-0.781440033E+00 --0.780151054E+00-0.778850929E+00-0.777541493E+00-0.776223279E+00-0.774896034E+00 --0.773560421E+00-0.772218300E+00-0.770872069E+00-0.769521719E+00-0.768166930E+00 --0.766807600E+00-0.765443730E+00-0.764079476E+00-0.762714992E+00-0.761351008E+00 --0.759987325E+00-0.758623910E+00-0.757262945E+00-0.755905849E+00-0.754553900E+00 --0.753208378E+00-0.751869283E+00-0.750536616E+00-0.749210376E+00-0.747890562E+00 --0.746579463E+00-0.745279088E+00-0.743991971E+00-0.742717174E+00-0.741454592E+00 --0.740204225E+00-0.738966867E+00-0.737745147E+00-0.736539265E+00-0.735349219E+00 --0.734175975E+00-0.733020978E+00-0.731884207E+00-0.730766727E+00-0.729667998E+00 --0.728589788E+00-0.727533081E+00-0.726497876E+00-0.725484295E+00-0.724494240E+00 --0.723527889E+00-0.722585109E+00-0.721666865E+00-0.720774363E+00-0.719907548E+00 --0.719067207E+00-0.718253341E+00-0.717466864E+00-0.716708506E+00-0.715978268E+00 --0.715276374E+00-0.714604430E+00-0.713962741E+00-0.713351308E+00-0.712770130E+00 --0.712219147E+00-0.711700584E+00-0.711214944E+00-0.710762225E+00-0.710342427E+00 --0.709955551E+00-0.709601924E+00-0.709282562E+00-0.708998085E+00-0.708749177E+00 --0.708535668E+00-0.708358026E+00-0.708216251E+00-0.708110686E+00-0.708042619E+00 --0.708012141E+00-0.708019121E+00-0.708064491E+00-0.708148416E+00-0.708271091E+00 --0.708432514E+00-0.708633430E+00-0.708874580E+00-0.709155964E+00-0.709477693E+00 --0.709840210E+00-0.710243982E+00-0.710689319E+00-0.711176223E+00-0.711705061E+00 --0.712276254E+00-0.712890029E+00-0.713546718E+00-0.714246321E+00-0.714988960E+00 --0.715775880E+00-0.716605732E+00-0.717479130E+00-0.718396086E+00-0.719357103E+00 --0.720362342E+00-0.721412106E+00-0.722505711E+00-0.723642584E+00-0.724823351E+00 --0.726048129E+00-0.727316918E+00-0.728629790E+00-0.729986864E+00-0.731385852E+00 --0.732827077E+00-0.734310637E+00-0.735836534E+00-0.737404635E+00-0.739013030E+00 --0.740661245E+00-0.742349279E+00-0.744077132E+00-0.745844586E+00-0.747648313E+00 --0.749487291E+00-0.751361529E+00-0.753271024E+00-0.755215555E+00-0.757193196E+00 --0.759198481E+00-0.761231771E+00-0.763293066E+00-0.765382367E+00-0.767498343E+00 --0.769635899E+00-0.771794789E+00-0.773974161E+00-0.776171136E+00-0.778383175E+00 --0.780609871E+00-0.782850826E+00-0.785100560E+00-0.787357329E+00-0.789621133E+00 --0.791891972E+00-0.794165820E+00-0.796439846E+00-0.798714406E+00-0.800989500E+00 --0.803265142E+00-0.805542467E+00-0.807821614E+00-0.810102585E+00-0.812386467E+00 --0.814672300E+00-0.816959476E+00-0.819249615E+00-0.821542698E+00-0.823838370E+00 --0.826136530E+00-0.828438335E+00-0.830744118E+00-0.833053830E+00-0.835367359E+00 --0.837684702E+00-0.840005856E+00-0.842331006E+00-0.844662267E+00-0.846997774E+00 --0.849338302E+00-0.851684336E+00-0.854035323E+00-0.856391448E+00-0.858753748E+00 --0.861121678E+00-0.863495525E+00-0.865875480E+00-0.868261429E+00-0.870654448E+00 --0.873054435E+00-0.875460898E+00-0.877873811E+00-0.880293944E+00-0.882721622E+00 --0.885156797E+00-0.887599511E+00-0.890050009E+00-0.892508252E+00-0.894974241E+00 --0.897448639E+00-0.899931531E+00-0.902422707E+00-0.904922166E+00-0.907430092E+00 --0.909947115E+00-0.912473258E+00-0.915008521E+00-0.917553189E+00-0.920107038E+00 --0.922670533E+00-0.925243564E+00-0.927826132E+00-0.930418438E+00-0.933020990E+00 --0.935633812E+00-0.938256833E+00-0.940890055E+00-0.943533911E+00-0.946188333E+00 --0.948853322E+00-0.951529359E+00-0.954216510E+00-0.956914300E+00-0.959623404E+00 --0.962343821E+00-0.965075551E+00-0.967818973E+00-0.970573919E+00-0.973340390E+00 --0.976118411E+00-0.978908454E+00-0.981710692E+00-0.984525128E+00-0.987351733E+00 --0.990190576E+00-0.993041862E+00-0.995905590E+00-0.998781760E+00-0.100167037E+01 --0.100457171E+01-0.100748605E+01-0.101041337E+01-0.101335368E+01-0.101630700E+01 --0.101927352E+01-0.102225327E+01-0.102524625E+01-0.102825246E+01-0.103127191E+01 --0.103430410E+01-0.103735044E+01-0.104041091E+01-0.104348552E+01-0.104657371E+01 --0.827896165E+00-0.827561488E+00-0.827211705E+00-0.826846814E+00-0.826466816E+00 --0.826071712E+00-0.825661500E+00-0.825236181E+00-0.824795755E+00-0.824340222E+00 --0.823869582E+00-0.823382427E+00-0.822878858E+00-0.822359211E+00-0.821823412E+00 --0.821271370E+00-0.820702924E+00-0.820118109E+00-0.819516924E+00-0.818899309E+00 --0.818264926E+00-0.817613772E+00-0.816945826E+00-0.816260981E+00-0.815559377E+00 --0.814840556E+00-0.814104589E+00-0.813351587E+00-0.812581633E+00-0.811794081E+00 --0.810988865E+00-0.810166591E+00-0.809327159E+00-0.808469610E+00-0.807594696E+00 --0.806702004E+00-0.805791733E+00-0.804863636E+00-0.803917384E+00-0.802953538E+00 --0.801972097E+00-0.800973071E+00-0.799956030E+00-0.798920424E+00-0.797866443E+00 --0.796794799E+00-0.795705273E+00-0.794597298E+00-0.793471995E+00-0.792329365E+00 --0.791169351E+00-0.789991972E+00-0.788799259E+00-0.787591589E+00-0.786369020E+00 --0.785131552E+00-0.783880044E+00-0.782616351E+00-0.781340538E+00-0.780052835E+00 --0.778753050E+00-0.777442273E+00-0.776123101E+00-0.774795502E+00-0.773459347E+00 --0.772115574E+00-0.770766598E+00-0.769412155E+00-0.768053050E+00-0.766689850E+00 --0.765322553E+00-0.763953019E+00-0.762582994E+00-0.761212646E+00-0.759842850E+00 --0.758473331E+00-0.757104977E+00-0.755740765E+00-0.754380930E+00-0.753025474E+00 --0.751675516E+00-0.750331986E+00-0.748994882E+00-0.747665728E+00-0.746345506E+00 --0.745034084E+00-0.743732714E+00-0.742444259E+00-0.741168786E+00-0.739906294E+00 --0.738656486E+00-0.737418649E+00-0.736196688E+00-0.734990312E+00-0.733801535E+00 --0.732630892E+00-0.731478384E+00-0.730344009E+00-0.729227617E+00-0.728129795E+00 --0.727054379E+00-0.726000898E+00-0.724969353E+00-0.723959743E+00-0.722973282E+00 --0.722010513E+00-0.721071347E+00-0.720157263E+00-0.719269029E+00-0.718406646E+00 --0.717569913E+00-0.716760724E+00-0.715979655E+00-0.715226706E+00-0.714501876E+00 --0.713805167E+00-0.713138088E+00-0.712501291E+00-0.711894852E+00-0.711319454E+00 --0.710775183E+00-0.710262203E+00-0.709781967E+00-0.709334653E+00-0.708920260E+00 --0.708539372E+00-0.708192160E+00-0.707878580E+00-0.707599780E+00-0.707356734E+00 --0.707149385E+00-0.706977936E+00-0.706842331E+00-0.706742856E+00-0.706680972E+00 --0.706656605E+00-0.706669555E+00-0.706720862E+00-0.706811233E+00-0.706940375E+00 --0.707108266E+00-0.707315414E+00-0.707562861E+00-0.707850566E+00-0.708178887E+00 --0.708547917E+00-0.708958175E+00-0.709410009E+00-0.709903590E+00-0.710439321E+00 --0.711017128E+00-0.711637583E+00-0.712300951E+00-0.713007234E+00-0.713757066E+00 --0.714550700E+00-0.715388136E+00-0.716269476E+00-0.717194155E+00-0.718162813E+00 --0.719175691E+00-0.720232790E+00-0.721334826E+00-0.722480422E+00-0.723670035E+00 --0.724903687E+00-0.726181235E+00-0.727502678E+00-0.728868752E+00-0.730277756E+00 --0.731729475E+00-0.733223730E+00-0.734760321E+00-0.736339289E+00-0.737959634E+00 --0.739619798E+00-0.741319753E+00-0.743059476E+00-0.744838996E+00-0.746656045E+00 --0.748508394E+00-0.750396044E+00-0.752319079E+00-0.754278139E+00-0.756270117E+00 --0.758291326E+00-0.760341642E+00-0.762420119E+00-0.764526600E+00-0.766659726E+00 --0.768814542E+00-0.770990969E+00-0.773188211E+00-0.775404783E+00-0.777636204E+00 --0.779882004E+00-0.782142183E+00-0.784413560E+00-0.786691492E+00-0.788975839E+00 --0.791266601E+00-0.793560854E+00-0.795855780E+00-0.798151530E+00-0.800448294E+00 --0.802745256E+00-0.805042834E+00-0.807342236E+00-0.809643459E+00-0.811945656E+00 --0.814249388E+00-0.816555459E+00-0.818863746E+00-0.821174496E+00-0.823487709E+00 --0.825803182E+00-0.828121258E+00-0.830443310E+00-0.832769339E+00-0.835099344E+00 --0.837433326E+00-0.839771284E+00-0.842113219E+00-0.844458254E+00-0.846808653E+00 --0.849164038E+00-0.851524330E+00-0.853889549E+00-0.856259768E+00-0.858635532E+00 --0.861016943E+00-0.863404001E+00-0.865797965E+00-0.868197267E+00-0.870603115E+00 --0.873015379E+00-0.875434062E+00-0.877859165E+00-0.880291069E+00-0.882730690E+00 --0.885177094E+00-0.887631111E+00-0.890092916E+00-0.892562189E+00-0.895038671E+00 --0.897523670E+00-0.900016997E+00-0.902518634E+00-0.905028446E+00-0.907546422E+00 --0.910073250E+00-0.912608973E+00-0.915153483E+00-0.917707220E+00-0.920270470E+00 --0.922842539E+00-0.925424068E+00-0.928015224E+00-0.930615948E+00-0.933226642E+00 --0.935847394E+00-0.938478495E+00-0.941119427E+00-0.943770286E+00-0.946431843E+00 --0.949104153E+00-0.951787289E+00-0.954481170E+00-0.957185605E+00-0.959901094E+00 --0.962627638E+00-0.965365276E+00-0.968114502E+00-0.970875213E+00-0.973647415E+00 --0.976431153E+00-0.979226395E+00-0.982033582E+00-0.984852496E+00-0.987683859E+00 --0.990526904E+00-0.993382203E+00-0.996249872E+00-0.999129953E+00-0.100202248E+01 --0.100492713E+01-0.100784462E+01-0.101077503E+01-0.101371793E+01-0.101667333E+01 --0.101964179E+01-0.102262339E+01-0.102561813E+01-0.102862601E+01-0.103164659E+01 --0.103468234E+01-0.103772937E+01-0.104078991E+01-0.104386397E+01-0.104695154E+01 --0.827032905E+00-0.826693166E+00-0.826338206E+00-0.825967983E+00-0.825582573E+00 --0.825182057E+00-0.824766433E+00-0.824335702E+00-0.823889865E+00-0.823428920E+00 --0.822952868E+00-0.822460090E+00-0.821950830E+00-0.821425489E+00-0.820884122E+00 --0.820326450E+00-0.819752270E+00-0.819161586E+00-0.818554529E+00-0.817930806E+00 --0.817290447E+00-0.816633180E+00-0.815959007E+00-0.815267928E+00-0.814559905E+00 --0.813834570E+00-0.813091888E+00-0.812332139E+00-0.811555123E+00-0.810760394E+00 --0.809947968E+00-0.809117846E+00-0.808270855E+00-0.807405164E+00-0.806522036E+00 --0.805621041E+00-0.804702424E+00-0.803765492E+00-0.802809922E+00-0.801836510E+00 --0.800845504E+00-0.799836438E+00-0.798808729E+00-0.797762456E+00-0.796697618E+00 --0.795614216E+00-0.794512253E+00-0.793392137E+00-0.792254822E+00-0.791100307E+00 --0.789928594E+00-0.788740286E+00-0.787536704E+00-0.786317886E+00-0.785083983E+00 --0.783835267E+00-0.782572959E+00-0.781298531E+00-0.780011983E+00-0.778713453E+00 --0.777403525E+00-0.776084569E+00-0.774756939E+00-0.773420751E+00-0.772075995E+00 --0.770724200E+00-0.769367295E+00-0.768005281E+00-0.766638142E+00-0.765265692E+00 --0.763892251E+00-0.762518164E+00-0.761143430E+00-0.759768037E+00-0.758391950E+00 --0.757015672E+00-0.755643816E+00-0.754276329E+00-0.752913210E+00-0.751554460E+00 --0.750200080E+00-0.748852294E+00-0.747513437E+00-0.746183381E+00-0.744862126E+00 --0.743549671E+00-0.742247292E+00-0.740957804E+00-0.739681297E+00-0.738417772E+00 --0.737167382E+00-0.735930405E+00-0.734709043E+00-0.733503872E+00-0.732317100E+00 --0.731148382E+00-0.729997645E+00-0.728864888E+00-0.727750112E+00-0.726655118E+00 --0.725582484E+00-0.724532231E+00-0.723504460E+00-0.722498809E+00-0.721515203E+00 --0.720556016E+00-0.719620595E+00-0.718710640E+00-0.717826512E+00-0.716968254E+00 --0.716135892E+00-0.715330942E+00-0.714554389E+00-0.713806231E+00-0.713086471E+00 --0.712395106E+00-0.711732497E+00-0.711100657E+00-0.710499945E+00-0.709930360E+00 --0.709391902E+00-0.708884572E+00-0.708409540E+00-0.707967520E+00-0.707558823E+00 --0.707183760E+00-0.706842331E+00-0.706534535E+00-0.706261383E+00-0.706023939E+00 --0.705822194E+00-0.705656147E+00-0.705526025E+00-0.705433013E+00-0.705377313E+00 --0.705358924E+00-0.705377847E+00-0.705434632E+00-0.705530531E+00-0.705665585E+00 --0.705839792E+00-0.706053109E+00-0.706306421E+00-0.706600326E+00-0.706934939E+00 --0.707310261E+00-0.707726554E+00-0.708184730E+00-0.708684731E+00-0.709226795E+00 --0.709810920E+00-0.710438052E+00-0.711108100E+00-0.711820751E+00-0.712577131E+00 --0.713377314E+00-0.714221309E+00-0.715109106E+00-0.716041015E+00-0.717017070E+00 --0.718037232E+00-0.719101773E+00-0.720211199E+00-0.721365282E+00-0.722563443E+00 --0.723805498E+00-0.725091449E+00-0.726421520E+00-0.727795889E+00-0.729214246E+00 --0.730675377E+00-0.732179123E+00-0.733725481E+00-0.735314547E+00-0.736945670E+00 --0.738617404E+00-0.740329023E+00-0.742080408E+00-0.743871562E+00-0.745701843E+00 --0.747567491E+00-0.749468314E+00-0.751404619E+00-0.753376455E+00-0.755382270E+00 --0.757417605E+00-0.759482185E+00-0.761576012E+00-0.763699085E+00-0.765850204E+00 --0.768022629E+00-0.770215462E+00-0.772428703E+00-0.774662351E+00-0.776913649E+00 --0.779179234E+00-0.781458831E+00-0.783747695E+00-0.786045387E+00-0.788350043E+00 --0.790661113E+00-0.792975438E+00-0.795290431E+00-0.797606248E+00-0.799922890E+00 --0.802239727E+00-0.804557645E+00-0.806876036E+00-0.809195416E+00-0.811515786E+00 --0.813837178E+00-0.816160519E+00-0.818486200E+00-0.820814220E+00-0.823144579E+00 --0.825477599E+00-0.827812188E+00-0.830150620E+00-0.832492700E+00-0.834838281E+00 --0.837187361E+00-0.839539942E+00-0.841896023E+00-0.844256402E+00-0.846621386E+00 --0.848990976E+00-0.851365169E+00-0.853743968E+00-0.856127649E+00-0.858516866E+00 --0.860911612E+00-0.863311887E+00-0.865717919E+00-0.868129558E+00-0.870547373E+00 --0.872971726E+00-0.875402612E+00-0.877839935E+00-0.880283677E+00-0.882734158E+00 --0.885192099E+00-0.887657249E+00-0.890129607E+00-0.892609174E+00-0.895095986E+00 --0.897590841E+00-0.900094007E+00-0.902605482E+00-0.905125262E+00-0.907653075E+00 --0.910189154E+00-0.912734011E+00-0.915287648E+00-0.917850170E+00-0.920421743E+00 --0.923002367E+00-0.925592102E+00-0.928191609E+00-0.930800527E+00-0.933419230E+00 --0.936047717E+00-0.938686034E+00-0.941334181E+00-0.943992167E+00-0.946660738E+00 --0.949340061E+00-0.952029921E+00-0.954730122E+00-0.957440701E+00-0.960162174E+00 --0.962894701E+00-0.965638161E+00-0.968392772E+00-0.971158866E+00-0.973936354E+00 --0.976724878E+00-0.979525354E+00-0.982337276E+00-0.985160982E+00-0.987996434E+00 --0.990843462E+00-0.993702336E+00-0.996573577E+00-0.999457192E+00-0.100235318E+01 --0.100526134E+01-0.100818187E+01-0.101111484E+01-0.101406026E+01-0.101701811E+01 --0.101998851E+01-0.102297204E+01-0.102596860E+01-0.102897781E+01-0.103199965E+01 --0.103503636E+01-0.103808542E+01-0.104114617E+01-0.104421961E+01-0.104730657E+01 --0.826211728E+00-0.825866917E+00-0.825506887E+00-0.825131635E+00-0.824741163E+00 --0.824335470E+00-0.823914557E+00-0.823478433E+00-0.823027183E+00-0.822560827E+00 --0.822079363E+00-0.821580962E+00-0.821066217E+00-0.820535425E+00-0.819988535E+00 --0.819425235E+00-0.818845426E+00-0.818249073E+00-0.817636100E+00-0.817006723E+00 --0.816360233E+00-0.815696806E+00-0.815016476E+00-0.814319244E+00-0.813604842E+00 --0.812872933E+00-0.812123589E+00-0.811356982E+00-0.810573048E+00-0.809771143E+00 --0.808951540E+00-0.808114314E+00-0.807259076E+00-0.806385784E+00-0.805494534E+00 --0.804585417E+00-0.803658177E+00-0.802712277E+00-0.801747700E+00-0.800764730E+00 --0.799763913E+00-0.798744101E+00-0.797705726E+00-0.796648656E+00-0.795572878E+00 --0.794477513E+00-0.793364288E+00-0.792233404E+00-0.791084867E+00-0.789919131E+00 --0.788736026E+00-0.787536777E+00-0.786322291E+00-0.785092570E+00-0.783847552E+00 --0.782587571E+00-0.781315167E+00-0.780030810E+00-0.778734534E+00-0.777426369E+00 --0.776108121E+00-0.774780850E+00-0.773444555E+00-0.772099347E+00-0.770746024E+00 --0.769386300E+00-0.768021425E+00-0.766652278E+00-0.765278867E+00-0.763901168E+00 --0.762521510E+00-0.761141164E+00-0.759760129E+00-0.758378606E+00-0.756998019E+00 --0.755618556E+00-0.754242696E+00-0.752871204E+00-0.751504082E+00-0.750141882E+00 --0.748785223E+00-0.747435117E+00-0.746094108E+00-0.744762308E+00-0.743439718E+00 --0.742126224E+00-0.740822826E+00-0.739532656E+00-0.738255816E+00-0.736992307E+00 --0.735742129E+00-0.734505978E+00-0.733286393E+00-0.732083021E+00-0.730897043E+00 --0.729729436E+00-0.728580199E+00-0.727449333E+00-0.726336421E+00-0.725244627E+00 --0.724175214E+00-0.723128180E+00-0.722103528E+00-0.721101256E+00-0.720121360E+00 --0.719164399E+00-0.718232846E+00-0.717327190E+00-0.716447469E+00-0.715593684E+00 --0.714765834E+00-0.713965256E+00-0.713193075E+00-0.712449326E+00-0.711733997E+00 --0.711047045E+00-0.710390355E+00-0.709763742E+00-0.709167742E+00-0.708603036E+00 --0.708069624E+00-0.707567653E+00-0.707098199E+00-0.706661008E+00-0.706257559E+00 --0.705888084E+00-0.705552438E+00-0.705250425E+00-0.704982893E+00-0.704751099E+00 --0.704554948E+00-0.704394387E+00-0.704269528E+00-0.704181863E+00-0.704131894E+00 --0.704119480E+00-0.704144377E+00-0.704206749E+00-0.704308089E+00-0.704448582E+00 --0.704628279E+00-0.704847565E+00-0.705106501E+00-0.705405960E+00-0.705746201E+00 --0.706127222E+00-0.706549526E+00-0.707013195E+00-0.707519105E+00-0.708067482E+00 --0.708657939E+00-0.709291438E+00-0.709967100E+00-0.710686253E+00-0.711449234E+00 --0.712255933E+00-0.713106349E+00-0.714000482E+00-0.714938831E+00-0.715921919E+00 --0.716949032E+00-0.718020658E+00-0.719136961E+00-0.720297939E+00-0.721503603E+00 --0.722754061E+00-0.724048328E+00-0.725386526E+00-0.726768936E+00-0.728195557E+00 --0.729666078E+00-0.731179259E+00-0.732735073E+00-0.734333637E+00-0.735974106E+00 --0.737655262E+00-0.739377106E+00-0.741139636E+00-0.742942644E+00-0.744785158E+00 --0.746663178E+00-0.748576730E+00-0.750525812E+00-0.752510424E+00-0.754529899E+00 --0.756579361E+00-0.758658068E+00-0.760765989E+00-0.762902778E+00-0.765068375E+00 --0.767258032E+00-0.769467567E+00-0.771697006E+00-0.773946351E+00-0.776216028E+00 --0.778502894E+00-0.780799821E+00-0.783105641E+00-0.785420356E+00-0.787743965E+00 --0.790075608E+00-0.792409994E+00-0.794744977E+00-0.797080112E+00-0.799415335E+00 --0.801750647E+00-0.804086097E+00-0.806422482E+00-0.808759852E+00-0.811098215E+00 --0.813437722E+00-0.815778144E+00-0.818120982E+00-0.820465806E+00-0.822812401E+00 --0.825160766E+00-0.827511310E+00-0.829865149E+00-0.832222326E+00-0.834582773E+00 --0.836946561E+00-0.839313600E+00-0.841683606E+00-0.844058421E+00-0.846437536E+00 --0.848820709E+00-0.851207939E+00-0.853599550E+00-0.855996846E+00-0.858398771E+00 --0.860805989E+00-0.863218767E+00-0.865637121E+00-0.868060865E+00-0.870489992E+00 --0.872925553E+00-0.875367653E+00-0.877816291E+00-0.880271390E+00-0.882732830E+00 --0.885201544E+00-0.887677060E+00-0.890159712E+00-0.892649573E+00-0.895146534E+00 --0.897651227E+00-0.900164176E+00-0.902685010E+00-0.905213822E+00-0.907750611E+00 --0.910295377E+00-0.912849089E+00-0.915411126E+00-0.917981970E+00-0.920561866E+00 --0.923150812E+00-0.925748810E+00-0.928355860E+00-0.930972155E+00-0.933598028E+00 --0.936233731E+00-0.938879264E+00-0.941534627E+00-0.944199819E+00-0.946875043E+00 --0.949560697E+00-0.952256636E+00-0.954962915E+00-0.957679536E+00-0.960406739E+00 --0.963145250E+00-0.965894195E+00-0.968654190E+00-0.971425498E+00-0.974207614E+00 --0.977000859E+00-0.979805738E+00-0.982622245E+00-0.985450246E+00-0.988289704E+00 --0.991140737E+00-0.994003371E+00-0.996878178E+00-0.999765168E+00-0.100266383E+01 --0.100557460E+01-0.100849775E+01-0.101143326E+01-0.101438111E+01-0.101734131E+01 --0.102031396E+01-0.102329924E+01-0.102629715E+01-0.102930769E+01-0.103233086E+01 --0.103536772E+01-0.103841692E+01-0.104147847E+01-0.104455237E+01-0.104763879E+01 --0.825432886E+00-0.825083005E+00-0.824717903E+00-0.824337580E+00-0.823942037E+00 --0.823531274E+00-0.823105290E+00-0.822664085E+00-0.822207659E+00-0.821736013E+00 --0.821249119E+00-0.820745465E+00-0.820225307E+00-0.819689065E+00-0.819136652E+00 --0.818567858E+00-0.817982511E+00-0.817380568E+00-0.816762028E+00-0.816126864E+00 --0.815474670E+00-0.814805316E+00-0.814118883E+00-0.813415548E+00-0.812694718E+00 --0.811956392E+00-0.811200542E+00-0.810427108E+00-0.809636380E+00-0.808827651E+00 --0.808000838E+00-0.807155892E+00-0.806292803E+00-0.805411607E+00-0.804512367E+00 --0.803595132E+00-0.802658994E+00-0.801704125E+00-0.800730579E+00-0.799738395E+00 --0.798727137E+00-0.797697060E+00-0.796648328E+00-0.795580943E+00-0.794494175E+00 --0.793388231E+00-0.792264292E+00-0.791122697E+00-0.789963271E+00-0.788786313E+00 --0.787591598E+00-0.786381541E+00-0.785156526E+00-0.783916423E+00-0.782661238E+00 --0.781392352E+00-0.780110762E+00-0.778816740E+00-0.777510798E+00-0.776193347E+00 --0.774866800E+00-0.773531230E+00-0.772186578E+00-0.770832653E+00-0.769470927E+00 --0.768103839E+00-0.766732709E+00-0.765357762E+00-0.763978652E+00-0.762595277E+00 --0.761209088E+00-0.759822398E+00-0.758436014E+00-0.757050564E+00-0.755666049E+00 --0.754282554E+00-0.752902690E+00-0.751527231E+00-0.750157227E+00-0.748792760E+00 --0.747433827E+00-0.746081474E+00-0.744738320E+00-0.743404375E+00-0.742079801E+00 --0.740765387E+00-0.739461936E+00-0.738171814E+00-0.736895104E+00-0.735631725E+00 --0.734381677E+00-0.733146676E+00-0.731928225E+00-0.730726201E+00-0.729541010E+00 --0.728374692E+00-0.727227126E+00-0.726098314E+00-0.724988700E+00-0.723900088E+00 --0.722833254E+00-0.721788864E+00-0.720766916E+00-0.719767412E+00-0.718790350E+00 --0.717837603E+00-0.716910051E+00-0.716008290E+00-0.715132597E+00-0.714282973E+00 --0.713459553E+00-0.712663755E+00-0.711896106E+00-0.711156835E+00-0.710445942E+00 --0.709763777E+00-0.709111877E+00-0.708490379E+00-0.707899268E+00-0.707339148E+00 --0.706810415E+00-0.706313972E+00-0.705849819E+00-0.705417957E+00-0.705019313E+00 --0.704654569E+00-0.704323726E+00-0.704027073E+00-0.703765060E+00-0.703538570E+00 --0.703347911E+00-0.703192843E+00-0.703073390E+00-0.702990867E+00-0.702945987E+00 --0.702938750E+00-0.702969156E+00-0.703037327E+00-0.703143995E+00-0.703289724E+00 --0.703474880E+00-0.703699645E+00-0.703964020E+00-0.704268758E+00-0.704614369E+00 --0.705000871E+00-0.705428653E+00-0.705897757E+00-0.706408945E+00-0.706962561E+00 --0.707558606E+00-0.708197320E+00-0.708878800E+00-0.709604091E+00-0.710373193E+00 --0.711186106E+00-0.712042830E+00-0.712943314E+00-0.713887502E+00-0.714876761E+00 --0.715910594E+00-0.716989123E+00-0.718112277E+00-0.719280055E+00-0.720492456E+00 --0.721749655E+00-0.723051837E+00-0.724397940E+00-0.725788071E+00-0.727222231E+00 --0.728700912E+00-0.730223312E+00-0.731788465E+00-0.733396670E+00-0.735046460E+00 --0.736736937E+00-0.738468189E+00-0.740240584E+00-0.742053925E+00-0.743906575E+00 --0.745795611E+00-0.747720985E+00-0.749682656E+00-0.751680045E+00-0.753713007E+00 --0.755776440E+00-0.757868679E+00-0.759989727E+00-0.762139583E+00-0.764318247E+00 --0.766524435E+00-0.768750785E+00-0.770996984E+00-0.773262292E+00-0.775546483E+00 --0.777849594E+00-0.780164198E+00-0.782487583E+00-0.784819798E+00-0.787160845E+00 --0.789510724E+00-0.791863959E+00-0.794217682E+00-0.796571401E+00-0.798925182E+00 --0.801279051E+00-0.803632147E+00-0.805985904E+00-0.808340646E+00-0.810696032E+00 --0.813051629E+00-0.815408735E+00-0.817767617E+00-0.820127912E+00-0.822489977E+00 --0.824853812E+00-0.827219408E+00-0.829587792E+00-0.831959514E+00-0.834334572E+00 --0.836712191E+00-0.839093126E+00-0.841477735E+00-0.843865706E+00-0.846257734E+00 --0.848653819E+00-0.851053962E+00-0.853458505E+00-0.855867822E+00-0.858281909E+00 --0.860701316E+00-0.863125752E+00-0.865555579E+00-0.867990795E+00-0.870431402E+00 --0.872878142E+00-0.875331397E+00-0.877790698E+00-0.880255952E+00-0.882727252E+00 --0.885205496E+00-0.887690861E+00-0.890183348E+00-0.892683386E+00-0.895190296E+00 --0.897704292E+00-0.900226125E+00-0.902755935E+00-0.905293773E+00-0.907839446E+00 --0.910392851E+00-0.912954327E+00-0.915524807E+00-0.918103557E+00-0.920691217E+00 --0.923287786E+00-0.925893265E+00-0.928507766E+00-0.931131615E+00-0.933764717E+00 --0.936407102E+00-0.939059277E+00-0.941721310E+00-0.944393171E+00-0.947074724E+00 --0.949766054E+00-0.952467762E+00-0.955179912E+00-0.957902505E+00-0.960635530E+00 --0.963379285E+00-0.966133569E+00-0.968898816E+00-0.971674847E+00-0.974461664E+00 --0.977259379E+00-0.980068502E+00-0.982889090E+00-0.985720689E+00-0.988563847E+00 --0.991418661E+00-0.994285131E+00-0.997163498E+00-0.100005345E+01-0.100295517E+01 --0.100586852E+01-0.100879413E+01-0.101173209E+01-0.101468220E+01-0.101764412E+01 --0.102061819E+01-0.102360486E+01-0.102660403E+01-0.102961571E+01-0.103264020E+01 --0.103567721E+01-0.103872656E+01-0.104178826E+01-0.104486231E+01-0.104794870E+01 --0.824696380E+00-0.824341428E+00-0.823971255E+00-0.823585862E+00-0.823185248E+00 --0.822769413E+00-0.822338358E+00-0.821892000E+00-0.821430437E+00-0.820953756E+00 --0.820461957E+00-0.819953322E+00-0.819428098E+00-0.818886645E+00-0.818328894E+00 --0.817754904E+00-0.817164067E+00-0.816556556E+00-0.815932449E+00-0.815291745E+00 --0.814633811E+00-0.813958708E+00-0.813266445E+00-0.812556837E+00-0.811829826E+00 --0.811085115E+00-0.810322864E+00-0.809543164E+00-0.808745787E+00-0.807929999E+00 --0.807095801E+00-0.806243233E+00-0.805372503E+00-0.804483640E+00-0.803576644E+00 --0.802651399E+00-0.801706991E+00-0.800743240E+00-0.799760529E+00-0.798759024E+00 --0.797738506E+00-0.796698166E+00-0.795639173E+00-0.794561110E+00-0.793464042E+00 --0.792348025E+00-0.791213323E+00-0.790060742E+00-0.788890331E+00-0.787701846E+00 --0.786497724E+00-0.785277976E+00-0.784043073E+00-0.782793082E+00-0.781528147E+00 --0.780250272E+00-0.778959698E+00-0.777656381E+00-0.776340228E+00-0.775014829E+00 --0.773680467E+00-0.772336915E+00-0.770984171E+00-0.769622626E+00-0.768255168E+00 --0.766882356E+00-0.765504323E+00-0.764122300E+00-0.762736464E+00-0.761346815E+00 --0.759955246E+00-0.758563870E+00-0.757173385E+00-0.755783884E+00-0.754395366E+00 --0.753007232E+00-0.751623885E+00-0.750246074E+00-0.748873798E+00-0.747507058E+00 --0.746145854E+00-0.744791171E+00-0.743445911E+00-0.742110600E+00-0.740785481E+00 --0.739470555E+00-0.738166773E+00-0.736876369E+00-0.735599431E+00-0.734335957E+00 --0.733086217E+00-0.731852357E+00-0.730635213E+00-0.729434786E+00-0.728251197E+00 --0.727086309E+00-0.725940743E+00-0.724814177E+00-0.723707162E+00-0.722621710E+00 --0.721557648E+00-0.720515750E+00-0.719496296E+00-0.718499284E+00-0.717526261E+00 --0.716577907E+00-0.715654157E+00-0.714755816E+00-0.713883583E+00-0.713037415E+00 --0.712218389E+00-0.711427165E+00-0.710663743E+00-0.709928808E+00-0.709222350E+00 --0.708544826E+00-0.707897687E+00-0.707280948E+00-0.706694392E+00-0.706138152E+00 --0.705614384E+00-0.705123235E+00-0.704664384E+00-0.704237822E+00-0.703843744E+00 --0.703483807E+00-0.703157791E+00-0.702866259E+00-0.702609404E+00-0.702387575E+00 --0.702201646E+00-0.702051629E+00-0.701937667E+00-0.701860297E+00-0.701820440E+00 --0.701818174E+00-0.701853498E+00-0.701926411E+00-0.702038289E+00-0.702188866E+00 --0.702379189E+00-0.702609260E+00-0.702879079E+00-0.703188651E+00-0.703539167E+00 --0.703930981E+00-0.704364095E+00-0.704838510E+00-0.705354939E+00-0.705913550E+00 --0.706514972E+00-0.707159204E+00-0.707846248E+00-0.708576815E+00-0.709351193E+00 --0.710169382E+00-0.711031537E+00-0.711937621E+00-0.712887912E+00-0.713883272E+00 --0.714923487E+00-0.716008333E+00-0.717137804E+00-0.718311898E+00-0.719530792E+00 --0.720794779E+00-0.722103707E+00-0.723457329E+00-0.724854981E+00-0.726296727E+00 --0.727782434E+00-0.729312033E+00-0.730885619E+00-0.732503577E+00-0.734162469E+00 --0.735862308E+00-0.737603094E+00-0.739384825E+00-0.741207503E+00-0.743070296E+00 --0.744969690E+00-0.746905422E+00-0.748877492E+00-0.750886561E+00-0.752931938E+00 --0.755008065E+00-0.757113026E+00-0.759246819E+00-0.761409445E+00-0.763600903E+00 --0.765821764E+00-0.768065451E+00-0.770326715E+00-0.772606861E+00-0.774905891E+00 --0.777223461E+00-0.779553510E+00-0.781894026E+00-0.784243927E+00-0.786602660E+00 --0.788970115E+00-0.791339920E+00-0.793710305E+00-0.796081271E+00-0.798452816E+00 --0.800824942E+00-0.803196010E+00-0.805566742E+00-0.807937685E+00-0.810308840E+00 --0.812680205E+00-0.815052144E+00-0.817425729E+00-0.819801033E+00-0.822178056E+00 --0.824556869E+00-0.826937900E+00-0.829320840E+00-0.831706694E+00-0.834094926E+00 --0.836485537E+00-0.838878970E+00-0.841276183E+00-0.843677175E+00-0.846082023E+00 --0.848491021E+00-0.850903439E+00-0.853320005E+00-0.855741436E+00-0.858167131E+00 --0.860597220E+00-0.863032649E+00-0.865473546E+00-0.867919913E+00-0.870371726E+00 --0.872828977E+00-0.875292514E+00-0.877761931E+00-0.880237301E+00-0.882718601E+00 --0.885206375E+00-0.887701271E+00-0.890203287E+00-0.892712144E+00-0.895227727E+00 --0.897750897E+00-0.900281599E+00-0.902819928E+00-0.905365989E+00-0.907919783E+00 --0.910481309E+00-0.913050882E+00-0.915629047E+00-0.918215555E+00-0.920810622E+00 --0.923414600E+00-0.926027334E+00-0.928648784E+00-0.931279487E+00-0.933919443E+00 --0.936568564E+00-0.939226871E+00-0.941895102E+00-0.944573011E+00-0.947260602E+00 --0.949957816E+00-0.952665106E+00-0.955382838E+00-0.958110859E+00-0.960848937E+00 --0.963597347E+00-0.966356566E+00-0.969126470E+00-0.971907057E+00-0.974698502E+00 --0.977500886E+00-0.980314374E+00-0.983138752E+00-0.985974021E+00-0.988820506E+00 --0.991678644E+00-0.994548431E+00-0.997429737E+00-0.100032256E+01-0.100322724E+01 --0.100614319E+01-0.100907131E+01-0.101201141E+01-0.101496332E+01-0.101792705E+01 --0.102090263E+01-0.102389056E+01-0.102689098E+01-0.102990351E+01-0.103292808E+01 --0.103596520E+01-0.103901463E+01-0.104207635E+01-0.104515039E+01-0.104823693E+01 --0.824002210E+00-0.823642187E+00-0.823266943E+00-0.822876479E+00-0.822470639E+00 --0.822049659E+00-0.821613560E+00-0.821162342E+00-0.820696006E+00-0.820214552E+00 --0.819717979E+00-0.819204363E+00-0.818674114E+00-0.818127699E+00-0.817565076E+00 --0.816985988E+00-0.816390054E+00-0.815777273E+00-0.815147646E+00-0.814501173E+00 --0.813837749E+00-0.813156970E+00-0.812458922E+00-0.811743605E+00-0.811010690E+00 --0.810259962E+00-0.809491419E+00-0.808705365E+00-0.807901050E+00-0.807078325E+00 --0.806237190E+00-0.805377644E+00-0.804499688E+00-0.803603248E+00-0.802688597E+00 --0.801755039E+00-0.800802125E+00-0.799829856E+00-0.798838231E+00-0.797827250E+00 --0.796797409E+00-0.795747569E+00-0.794678319E+00-0.793590127E+00-0.792482987E+00 --0.791356897E+00-0.790211381E+00-0.789047841E+00-0.787867276E+00-0.786670043E+00 --0.785456209E+00-0.784226988E+00-0.782982525E+00-0.781722022E+00-0.780447931E+00 --0.779161306E+00-0.777862145E+00-0.776550434E+00-0.775227000E+00-0.773894208E+00 --0.772552059E+00-0.771200552E+00-0.769839728E+00-0.768471878E+00-0.767098674E+00 --0.765720116E+00-0.764336204E+00-0.762947218E+00-0.761554038E+00-0.760159142E+00 --0.758764302E+00-0.757369519E+00-0.755974794E+00-0.754580894E+00-0.753188037E+00 --0.751796608E+00-0.750410186E+00-0.749029414E+00-0.747654291E+00-0.746284818E+00 --0.744920919E+00-0.743565206E+00-0.742218786E+00-0.740882755E+00-0.739557097E+00 --0.738241658E+00-0.736937554E+00-0.735646909E+00-0.734369959E+00-0.733106727E+00 --0.731857460E+00-0.730624859E+00-0.729409465E+00-0.728210891E+00-0.727029033E+00 --0.725865382E+00-0.724721108E+00-0.723596311E+00-0.722492463E+00-0.721409919E+00 --0.720348698E+00-0.719308951E+00-0.718291904E+00-0.717298194E+00-0.716329088E+00 --0.715384587E+00-0.714464690E+00-0.713569502E+00-0.712700439E+00-0.711858047E+00 --0.711043457E+00-0.710256668E+00-0.709497639E+00-0.708766189E+00-0.708063432E+00 --0.707390905E+00-0.706748510E+00-0.706136248E+00-0.705554120E+00-0.705002305E+00 --0.704482811E+00-0.703996009E+00-0.703541900E+00-0.703120483E+00-0.702731662E+00 --0.702375722E+00-0.702054471E+00-0.701767849E+00-0.701515904E+00-0.701298794E+00 --0.701117520E+00-0.700972152E+00-0.700863149E+00-0.700790808E+00-0.700755503E+00 --0.700757782E+00-0.700797652E+00-0.700875616E+00-0.700992383E+00-0.701147947E+00 --0.701342766E+00-0.701577332E+00-0.701851890E+00-0.702166674E+00-0.702521818E+00 --0.702918217E+00-0.703356031E+00-0.703835404E+00-0.704356885E+00-0.704920301E+00 --0.705526648E+00-0.706175942E+00-0.706868185E+00-0.707603761E+00-0.708383373E+00 --0.709206930E+00-0.710074365E+00-0.710985678E+00-0.711941449E+00-0.712942134E+00 --0.713987732E+00-0.715078242E+00-0.716213960E+00-0.717394293E+00-0.718619472E+00 --0.719889591E+00-0.721204652E+00-0.722564857E+00-0.723969965E+00-0.725418801E+00 --0.726911573E+00-0.728448388E+00-0.730029129E+00-0.731654001E+00-0.733321328E+00 --0.735029883E+00-0.736779840E+00-0.738570908E+00-0.740402922E+00-0.742275869E+00 --0.744185608E+00-0.746131725E+00-0.748114300E+00-0.750133332E+00-0.752189091E+00 --0.754277646E+00-0.756395035E+00-0.758541256E+00-0.760716412E+00-0.762920262E+00 --0.765152491E+00-0.767409467E+00-0.769685356E+00-0.771980324E+00-0.774294192E+00 --0.776626618E+00-0.778971530E+00-0.781326934E+00-0.783692830E+00-0.786069127E+00 --0.788453942E+00-0.790840410E+00-0.793227457E+00-0.795615022E+00-0.798002650E+00 --0.800390308E+00-0.802776893E+00-0.805163079E+00-0.807549561E+00-0.809936346E+00 --0.812323480E+00-0.814710616E+00-0.817098886E+00-0.819488868E+00-0.821880194E+00 --0.824272675E+00-0.826666511E+00-0.829063314E+00-0.831462256E+00-0.833863501E+00 --0.836267124E+00-0.838673066E+00-0.841082494E+00-0.843495703E+00-0.845912690E+00 --0.848332878E+00-0.850756950E+00-0.853185312E+00-0.855617857E+00-0.858054621E+00 --0.860495630E+00-0.862941826E+00-0.865393481E+00-0.867850169E+00-0.870311714E+00 --0.872778561E+00-0.875251480E+00-0.877730409E+00-0.880215438E+00-0.882706877E+00 --0.885204182E+00-0.887708375E+00-0.890219105E+00-0.892736381E+00-0.895260223E+00 --0.897791431E+00-0.900330258E+00-0.902876702E+00-0.905430765E+00-0.907992446E+00 --0.910561746E+00-0.913138993E+00-0.915724570E+00-0.918318492E+00-0.920920740E+00 --0.923531358E+00-0.926150723E+00-0.928779060E+00-0.931416370E+00-0.934062653E+00 --0.936717909E+00-0.939382164E+00-0.942056063E+00-0.944739700E+00-0.947433073E+00 --0.950135985E+00-0.952848924E+00-0.955571727E+00-0.958304643E+00-0.961047649E+00 --0.963800822E+00-0.966564680E+00-0.969339216E+00-0.972124155E+00-0.974919376E+00 --0.977725724E+00-0.980542954E+00-0.983371084E+00-0.986210110E+00-0.989060069E+00 --0.991921531E+00-0.994794287E+00-0.997678277E+00-0.100057378E+01-0.100348061E+01 --0.100639934E+01-0.100932933E+01-0.101227114E+01-0.101522477E+01-0.101819022E+01 --0.102116762E+01-0.102415693E+01-0.102715809E+01-0.103017131E+01-0.103319657E+01 --0.103623371E+01-0.103928315E+01-0.104234489E+01-0.104541893E+01-0.104850527E+01 --0.823350317E+00-0.822985037E+00-0.822604639E+00-0.822209122E+00-0.821798487E+00 --0.821372733E+00-0.820931860E+00-0.820475869E+00-0.820004760E+00-0.819518532E+00 --0.819017185E+00-0.818498703E+00-0.817963948E+00-0.817412817E+00-0.816845323E+00 --0.816261137E+00-0.815660106E+00-0.815042214E+00-0.814407443E+00-0.813755800E+00 --0.813087160E+00-0.812400924E+00-0.811697219E+00-0.810976204E+00-0.810237344E+00 --0.809480797E+00-0.808706278E+00-0.807913491E+00-0.807102451E+00-0.806273099E+00 --0.805425261E+00-0.804558936E+00-0.803674126E+00-0.802770511E+00-0.801847669E+00 --0.800905718E+00-0.799944428E+00-0.798963801E+00-0.797963837E+00-0.796944535E+00 --0.795905216E+00-0.794845477E+00-0.793766554E+00-0.792668420E+00-0.791551075E+00 --0.790414845E+00-0.789259202E+00-0.788086761E+00-0.786897652E+00-0.785691875E+00 --0.784469431E+00-0.783230461E+00-0.781976037E+00-0.780706573E+00-0.779424163E+00 --0.778129662E+00-0.776822627E+00-0.775503048E+00-0.774172192E+00-0.772831978E+00 --0.771482407E+00-0.770123528E+00-0.768756271E+00-0.767381851E+00-0.766002176E+00 --0.764617304E+00-0.763227235E+00-0.761832809E+00-0.760435024E+00-0.759035752E+00 --0.757637035E+00-0.756238871E+00-0.754840874E+00-0.753442935E+00-0.752045319E+00 --0.750650284E+00-0.749260922E+00-0.747877773E+00-0.746500217E+00-0.745128193E+00 --0.743762973E+00-0.742406787E+00-0.741059595E+00-0.739722290E+00-0.738395380E+00 --0.737078971E+00-0.735775227E+00-0.734485070E+00-0.733208657E+00-0.731945962E+00 --0.730697483E+00-0.729465881E+00-0.728251517E+00-0.727054393E+00-0.725874508E+00 --0.724712001E+00-0.723568592E+00-0.722446507E+00-0.721345636E+00-0.720265795E+00 --0.719206985E+00-0.718169270E+00-0.717155376E+00-0.716164871E+00-0.715198993E+00 --0.714257741E+00-0.713341141E+00-0.712449632E+00-0.711584451E+00-0.710746240E+00 --0.709935415E+00-0.709152212E+00-0.708396630E+00-0.707668945E+00-0.706970883E+00 --0.706302741E+00-0.705664519E+00-0.705056605E+00-0.704478905E+00-0.703931496E+00 --0.703416276E+00-0.702933749E+00-0.702483913E+00-0.702066829E+00-0.701682617E+00 --0.701331240E+00-0.701014078E+00-0.700731951E+00-0.700484784E+00-0.700272451E+00 --0.700095397E+00-0.699954429E+00-0.699850125E+00-0.699782482E+00-0.699751502E+00 --0.699758231E+00-0.699802373E+00-0.699885027E+00-0.700006478E+00-0.700166653E+00 --0.700365489E+00-0.700604311E+00-0.700883551E+00-0.701203023E+00-0.701562717E+00 --0.701963595E+00-0.702405726E+00-0.702889679E+00-0.703415752E+00-0.703983947E+00 --0.704594726E+00-0.705248265E+00-0.705945167E+00-0.706685804E+00-0.707470174E+00 --0.708298278E+00-0.709170461E+00-0.710086939E+00-0.711048037E+00-0.712054058E+00 --0.713104835E+00-0.714200348E+00-0.715341224E+00-0.716527302E+00-0.717758293E+00 --0.719034286E+00-0.720355283E+00-0.721721284E+00-0.723132771E+00-0.724588792E+00 --0.726088739E+00-0.727632612E+00-0.729220422E+00-0.730851837E+00-0.732526225E+00 --0.734243048E+00-0.736001124E+00-0.737800426E+00-0.739640942E+00-0.741522519E+00 --0.743441685E+00-0.745397703E+00-0.747390178E+00-0.749419111E+00-0.751484538E+00 --0.753585521E+00-0.755715325E+00-0.757873467E+00-0.760059989E+00-0.762274890E+00 --0.764518172E+00-0.766787717E+00-0.769076568E+00-0.771384541E+00-0.773711638E+00 --0.776058976E+00-0.778418841E+00-0.780789107E+00-0.783169865E+00-0.785561114E+00 --0.787962298E+00-0.790365067E+00-0.792767858E+00-0.795170680E+00-0.797573531E+00 --0.799976412E+00-0.802378123E+00-0.804779105E+00-0.807180382E+00-0.809581881E+00 --0.811982673E+00-0.814384349E+00-0.816787247E+00-0.819190440E+00-0.821594788E+00 --0.824000289E+00-0.826407066E+00-0.828815968E+00-0.831227157E+00-0.833640633E+00 --0.836056953E+00-0.838475411E+00-0.840897100E+00-0.843322069E+00-0.845750039E+00 --0.848181009E+00-0.850615315E+00-0.853054037E+00-0.855497170E+00-0.857944713E+00 --0.860396600E+00-0.862853180E+00-0.865314617E+00-0.867780911E+00-0.870252063E+00 --0.872728327E+00-0.875210554E+00-0.877698791E+00-0.880192910E+00-0.882692658E+00 --0.885198452E+00-0.887710923E+00-0.890230046E+00-0.892755814E+00-0.895287992E+00 --0.897827281E+00-0.900374083E+00-0.902928206E+00-0.905489650E+00-0.908058416E+00 --0.910635176E+00-0.913219893E+00-0.915812380E+00-0.918412790E+00-0.921021523E+00 --0.923638579E+00-0.926264009E+00-0.928898409E+00-0.931541802E+00-0.934194187E+00 --0.936855564E+00-0.939525933E+00-0.942205517E+00-0.944894596E+00-0.947593066E+00 --0.950301060E+00-0.953018968E+00-0.955746755E+00-0.958484624E+00-0.961232028E+00 --0.963989894E+00-0.966758205E+00-0.969536799E+00-0.972325675E+00-0.975124833E+00 --0.977934662E+00-0.980755355E+00-0.983586856E+00-0.986429166E+00-0.989282544E+00 --0.992147323E+00-0.995022531E+00-0.997909384E+00-0.100080737E+01-0.100371647E+01 --0.100663718E+01-0.100956936E+01-0.101251288E+01-0.101546806E+01-0.101843505E+01 --0.102141382E+01-0.102440417E+01-0.102740609E+01-0.103041993E+01-0.103344588E+01 --0.103648303E+01-0.103953248E+01-0.104259424E+01-0.104566830E+01-0.104875456E+01 --0.822739442E+00-0.822369394E+00-0.821984262E+00-0.821584046E+00-0.821168745E+00 --0.820738360E+00-0.820292890E+00-0.819832336E+00-0.819356697E+00-0.818865974E+00 --0.818360167E+00-0.817837505E+00-0.817298026E+00-0.816742138E+00-0.816169809E+00 --0.815580746E+00-0.814974811E+00-0.814352003E+00-0.813712323E+00-0.813055770E+00 --0.812382050E+00-0.811690606E+00-0.810981489E+00-0.810254747E+00-0.809510551E+00 --0.808748089E+00-0.807967358E+00-0.807168360E+00-0.806351094E+00-0.805515561E+00 --0.804661646E+00-0.803788687E+00-0.802896619E+00-0.801985440E+00-0.801055151E+00 --0.800105569E+00-0.799136118E+00-0.798147329E+00-0.797139087E+00-0.796110753E+00 --0.795062276E+00-0.793993547E+00-0.792905262E+00-0.791797766E+00-0.790670958E+00 --0.789525393E+00-0.788361201E+00-0.787179917E+00-0.785982018E+00-0.784767504E+00 --0.783536374E+00-0.782288699E+00-0.781025070E+00-0.779748627E+00-0.778459326E+00 --0.777157167E+00-0.775842261E+00-0.774514817E+00-0.773176539E+00-0.771828903E+00 --0.770472322E+00-0.769107629E+00-0.767734845E+00-0.766354200E+00-0.764967895E+00 --0.763575823E+00-0.762180717E+00-0.760782980E+00-0.759382613E+00-0.757979615E+00 --0.756575498E+00-0.755172020E+00-0.753769096E+00-0.752366726E+00-0.750966991E+00 --0.749570806E+00-0.748179508E+00-0.746793831E+00-0.745413684E+00-0.744039348E+00 --0.742673424E+00-0.741316478E+00-0.739968507E+00-0.738629815E+00-0.737301560E+00 --0.735984971E+00-0.734681824E+00-0.733392120E+00-0.732115858E+00-0.730853687E+00 --0.729606037E+00-0.728375434E+00-0.727162072E+00-0.725966103E+00-0.724787607E+00 --0.723626966E+00-0.722486500E+00-0.721366632E+00-0.720267795E+00-0.719189988E+00 --0.718133212E+00-0.717098984E+00-0.716088123E+00-0.715100521E+00-0.714137514E+00 --0.713199306E+00-0.712286020E+00-0.711397698E+00-0.710535970E+00-0.709701572E+00 --0.708894503E+00-0.708114810E+00-0.707362286E+00-0.706638626E+00-0.705944887E+00 --0.705281067E+00-0.704647166E+00-0.704043186E+00-0.703469126E+00-0.702925726E+00 --0.702414595E+00-0.701936232E+00-0.701490705E+00-0.701078012E+00-0.700698155E+00 --0.700351133E+00-0.700037795E+00-0.699759715E+00-0.699516596E+00-0.699308629E+00 --0.699135955E+00-0.698998972E+00-0.698898774E+00-0.698835361E+00-0.698808733E+00 --0.698819523E+00-0.698867969E+00-0.698955079E+00-0.699080775E+00-0.699245061E+00 --0.699447977E+00-0.699690779E+00-0.699974042E+00-0.700297764E+00-0.700661899E+00 --0.701066839E+00-0.701513155E+00-0.702001468E+00-0.702531779E+00-0.703104088E+00 --0.703719037E+00-0.704377152E+00-0.705078459E+00-0.705823472E+00-0.706612189E+00 --0.707444611E+00-0.708320940E+00-0.709242300E+00-0.710208408E+00-0.711219236E+00 --0.712274800E+00-0.713375255E+00-0.714521054E+00-0.715712192E+00-0.716948724E+00 --0.718230280E+00-0.719556860E+00-0.720928496E+00-0.722345127E+00-0.723806753E+00 --0.725313363E+00-0.726864294E+00-0.728459104E+00-0.730097044E+00-0.731777956E+00 --0.733501842E+00-0.735268169E+00-0.737075709E+00-0.738923865E+00-0.740813115E+00 --0.742740415E+00-0.744704672E+00-0.746705886E+00-0.748744058E+00-0.750819188E+00 --0.752930773E+00-0.755071490E+00-0.757240973E+00-0.759439222E+00-0.761666236E+00 --0.763921546E+00-0.766200440E+00-0.768501543E+00-0.770822348E+00-0.773162328E+00 --0.775521484E+00-0.777896009E+00-0.780280799E+00-0.782675930E+00-0.785081116E+00 --0.787493886E+00-0.789911594E+00-0.792329395E+00-0.794747277E+00-0.797165238E+00 --0.799583281E+00-0.802000253E+00-0.804415916E+00-0.806830993E+00-0.809245487E+00 --0.811659395E+00-0.814073843E+00-0.816489169E+00-0.818905373E+00-0.821322529E+00 --0.823741051E+00-0.826160056E+00-0.828581057E+00-0.831004364E+00-0.833429745E+00 --0.835856856E+00-0.838286175E+00-0.840718815E+00-0.843154595E+00-0.845593358E+00 --0.848035121E+00-0.850479918E+00-0.852928828E+00-0.855382164E+00-0.857839653E+00 --0.860300917E+00-0.862766286E+00-0.865236712E+00-0.867712207E+00-0.870192890E+00 --0.872678508E+00-0.875169685E+00-0.877666488E+00-0.880168916E+00-0.882676970E+00 --0.885190745E+00-0.887711118E+00-0.890238143E+00-0.892771683E+00-0.895311467E+00 --0.897858233E+00-0.900412289E+00-0.902973634E+00-0.905542204E+00-0.908117935E+00 --0.910701393E+00-0.913292626E+00-0.915891637E+00-0.918498423E+00-0.921113326E+00 --0.923736867E+00-0.926368356E+00-0.929008566E+00-0.931657769E+00-0.934315947E+00 --0.936982660E+00-0.939658029E+00-0.942343099E+00-0.945037361E+00-0.947740936E+00 --0.950453759E+00-0.953176292E+00-0.955908684E+00-0.958650713E+00-0.961402615E+00 --0.964164520E+00-0.966936689E+00-0.969719121E+00-0.972511817E+00-0.975314945E+00 --0.978128378E+00-0.980952247E+00-0.983786925E+00-0.986632411E+00-0.989488704E+00 --0.992355996E+00-0.995234320E+00-0.998123511E+00-0.100102382E+01-0.100393524E+01 --0.100685780E+01-0.100979171E+01-0.101273698E+01-0.101569362E+01-0.101866205E+01 --0.102164181E+01-0.102463306E+01-0.102763587E+01-0.103065025E+01-0.103367612E+01 --0.103671424E+01-0.103976381E+01-0.104282521E+01-0.104589844E+01-0.104898348E+01 --0.822166907E+00-0.821792957E+00-0.821403781E+00-0.820999519E+00-0.820580173E+00 --0.820145743E+00-0.819696228E+00-0.819231628E+00-0.818751945E+00-0.818257176E+00 --0.817747324E+00-0.817220267E+00-0.816676282E+00-0.816115766E+00-0.815538942E+00 --0.814945544E+00-0.814335011E+00-0.813707344E+00-0.813062755E+00-0.812401293E+00 --0.811722476E+00-0.811025869E+00-0.810311734E+00-0.809579711E+00-0.808829801E+00 --0.808061780E+00-0.807275492E+00-0.806470936E+00-0.805648067E+00-0.804806258E+00 --0.803945492E+00-0.803066155E+00-0.802167392E+00-0.801249202E+00-0.800311587E+00 --0.799354547E+00-0.798377984E+00-0.797381291E+00-0.796364456E+00-0.795327477E+00 --0.794270355E+00-0.793192556E+00-0.792095147E+00-0.790979020E+00-0.789844174E+00 --0.788690609E+00-0.787518326E+00-0.786328235E+00-0.785121525E+00-0.783898200E+00 --0.782658398E+00-0.781403000E+00-0.780132313E+00-0.778848530E+00-0.777551978E+00 --0.776242739E+00-0.774920836E+00-0.773585740E+00-0.772240096E+00-0.770886056E+00 --0.769523926E+00-0.768153706E+00-0.766775252E+00-0.765388504E+00-0.763994971E+00 --0.762598858E+00-0.761200166E+00-0.759798893E+00-0.758395041E+00-0.756988610E+00 --0.755579598E+00-0.754169147E+00-0.752761859E+00-0.751358063E+00-0.749957511E+00 --0.748560204E+00-0.747166141E+00-0.745777394E+00-0.744394331E+00-0.743018670E+00 --0.741651986E+00-0.740294278E+00-0.738945512E+00-0.737605579E+00-0.736276570E+00 --0.734960352E+00-0.733657570E+00-0.732368224E+00-0.731092313E+00-0.729829895E+00 --0.728583404E+00-0.727353844E+00-0.726142030E+00-0.724947688E+00-0.723770820E+00 --0.722612009E+00-0.721473647E+00-0.720355927E+00-0.719259086E+00-0.718183314E+00 --0.717128960E+00-0.716097622E+00-0.715089436E+00-0.714104520E+00-0.713144484E+00 --0.712209420E+00-0.711299278E+00-0.710414088E+00-0.709555810E+00-0.708724831E+00 --0.707921171E+00-0.707144918E+00-0.706395905E+00-0.705675971E+00-0.704985872E+00 --0.704325610E+00-0.703695184E+00-0.703094593E+00-0.702524539E+00-0.701985846E+00 --0.701478456E+00-0.701003588E+00-0.700561826E+00-0.700153171E+00-0.699777622E+00 --0.699435005E+00-0.699125441E+00-0.698851182E+00-0.698612032E+00-0.698408170E+00 --0.698239594E+00-0.698106512E+00-0.698010114E+00-0.697950608E+00-0.697928171E+00 --0.697942772E+00-0.697994783E+00-0.698085522E+00-0.698215072E+00-0.698383432E+00 --0.698590501E+00-0.698837345E+00-0.699124463E+00-0.699451773E+00-0.699819352E+00 --0.700228483E+00-0.700679121E+00-0.701171229E+00-0.701705336E+00-0.702281417E+00 --0.702900240E+00-0.703562409E+00-0.704267924E+00-0.705016963E+00-0.705809720E+00 --0.706646183E+00-0.707526889E+00-0.708452377E+00-0.709422648E+00-0.710437701E+00 --0.711497933E+00-0.712603099E+00-0.713753605E+00-0.714949451E+00-0.716190718E+00 --0.717477689E+00-0.718809518E+00-0.720186343E+00-0.721608162E+00-0.723074977E+00 --0.724586786E+00-0.726143538E+00-0.727745153E+00-0.729389592E+00-0.731076983E+00 --0.732807326E+00-0.734580615E+00-0.736395706E+00-0.738251288E+00-0.740148057E+00 --0.742083564E+00-0.744056028E+00-0.746065450E+00-0.748112284E+00-0.750196494E+00 --0.752314743E+00-0.754463818E+00-0.756643747E+00-0.758854321E+00-0.761096277E+00 --0.763361417E+00-0.765648982E+00-0.767958973E+00-0.770291390E+00-0.772644605E+00 --0.775016424E+00-0.777404873E+00-0.779803894E+00-0.782213146E+00-0.784629578E+00 --0.787053054E+00-0.789483575E+00-0.791916282E+00-0.794348763E+00-0.796781323E+00 --0.799213030E+00-0.801643170E+00-0.804072063E+00-0.806500258E+00-0.808927868E+00 --0.811354586E+00-0.813781203E+00-0.816208696E+00-0.818637068E+00-0.821066198E+00 --0.823495429E+00-0.825926841E+00-0.828359350E+00-0.830793531E+00-0.833229443E+00 --0.835667085E+00-0.838106539E+00-0.840548894E+00-0.842994497E+00-0.845443346E+00 --0.847895443E+00-0.850350786E+00-0.852809629E+00-0.855272266E+00-0.857738677E+00 --0.860208863E+00-0.862683030E+00-0.865162195E+00-0.867646428E+00-0.870135648E+00 --0.872629750E+00-0.875128572E+00-0.877633032E+00-0.880143330E+00-0.882659466E+00 --0.885181440E+00-0.887709579E+00-0.890243969E+00-0.892784569E+00-0.895331361E+00 --0.897885006E+00-0.900445940E+00-0.903014120E+00-0.905589292E+00-0.908171333E+00 --0.910760655E+00-0.913357948E+00-0.915963210E+00-0.918576443E+00-0.921197633E+00 --0.923826488E+00-0.926464004E+00-0.929109981E+00-0.931764557E+00-0.934427693E+00 --0.937099390E+00-0.939779812E+00-0.942469506E+00-0.945168460E+00-0.947876717E+00 --0.950594229E+00-0.953321223E+00-0.956057658E+00-0.958803816E+00-0.961559885E+00 --0.964325835E+00-0.967101696E+00-0.969887790E+00-0.972684194E+00-0.975490715E+00 --0.978307345E+00-0.981134164E+00-0.983971706E+00-0.986820056E+00-0.989679220E+00 --0.992549007E+00-0.995429390E+00-0.998320787E+00-0.100122324E+01-0.100413692E+01 --0.100706133E+01-0.100999696E+01-0.101294393E+01-0.101590207E+01-0.101887141E+01 --0.102185243E+01-0.102484441E+01-0.102784789E+01-0.103086285E+01-0.103388930E+01 --0.103692868E+01-0.103997892E+01-0.104303928E+01-0.104611146E+01-0.104919547E+01 --0.821635999E+00-0.821258707E+00-0.820866112E+00-0.820458212E+00-0.820035008E+00 --0.819596500E+00-0.819142934E+00-0.818674289E+00-0.818190560E+00-0.817691746E+00 --0.817177849E+00-0.816646397E+00-0.816098049E+00-0.815533440E+00-0.814952501E+00 --0.814354780E+00-0.813739923E+00-0.813107931E+00-0.812458804E+00-0.811792520E+00 --0.811108895E+00-0.810407786E+00-0.809688516E+00-0.808951357E+00-0.808196311E+00 --0.807423194E+00-0.806631348E+00-0.805821387E+00-0.804992630E+00-0.804144908E+00 --0.803278221E+00-0.802392378E+00-0.801487051E+00-0.800562295E+00-0.799617851E+00 --0.798653665E+00-0.797669627E+00-0.796665199E+00-0.795640597E+00-0.794595748E+00 --0.793530102E+00-0.792444196E+00-0.791338911E+00-0.790214864E+00-0.789072056E+00 --0.787910487E+00-0.786730203E+00-0.785531511E+00-0.784316249E+00-0.783085349E+00 --0.781838837E+00-0.780576713E+00-0.779299085E+00-0.778007983E+00-0.776704111E+00 --0.775387470E+00-0.774058180E+00-0.772717067E+00-0.771365789E+00-0.770006133E+00 --0.768638264E+00-0.767262180E+00-0.765877882E+00-0.764486499E+00-0.763090639E+00 --0.761690194E+00-0.760286231E+00-0.758879687E+00-0.757470564E+00-0.756059177E+00 --0.754647817E+00-0.753236519E+00-0.751826033E+00-0.750419043E+00-0.749015742E+00 --0.747616129E+00-0.746220204E+00-0.744828851E+00-0.743443698E+00-0.742067373E+00 --0.740699903E+00-0.739341288E+00-0.737991528E+00-0.736650883E+00-0.735322567E+00 --0.734006810E+00-0.732703675E+00-0.731413977E+00-0.730137771E+00-0.728876900E+00 --0.727632231E+00-0.726403831E+00-0.725192783E+00-0.723999463E+00-0.722823872E+00 --0.721667199E+00-0.720530777E+00-0.719415034E+00-0.718319972E+00-0.717245793E+00 --0.716194296E+00-0.715165780E+00-0.714160244E+00-0.713177942E+00-0.712220473E+00 --0.711288114E+00-0.710380926E+00-0.709498765E+00-0.708643416E+00-0.707815941E+00 --0.707015872E+00-0.706243210E+00-0.705497953E+00-0.704781217E+00-0.704094349E+00 --0.703437318E+00-0.702810384E+00-0.702213591E+00-0.701646948E+00-0.701112020E+00 --0.700608868E+00-0.700137314E+00-0.699698860E+00-0.699293512E+00-0.698921270E+00 --0.698582502E+00-0.698277510E+00-0.698006546E+00-0.697770916E+00-0.697570739E+00 --0.697406015E+00-0.697276848E+00-0.697184005E+00-0.697128221E+00-0.697109475E+00 --0.697127767E+00-0.697183355E+00-0.697277576E+00-0.697410607E+00-0.697582513E+00 --0.697793623E+00-0.698044100E+00-0.698334705E+00-0.698665503E+00-0.699036650E+00 --0.699449197E+00-0.699903299E+00-0.700398957E+00-0.700936858E+00-0.701516389E+00 --0.702138995E+00-0.702804948E+00-0.703514246E+00-0.704266891E+00-0.705063000E+00 --0.705903274E+00-0.706788210E+00-0.707717806E+00-0.708692046E+00-0.709710929E+00 --0.710774861E+00-0.711884207E+00-0.713038900E+00-0.714239076E+00-0.715485034E+00 --0.716776609E+00-0.718113428E+00-0.719495213E+00-0.720921964E+00-0.722393681E+00 --0.723910399E+00-0.725472233E+00-0.727078927E+00-0.728729956E+00-0.730423674E+00 --0.732160345E+00-0.733939518E+00-0.735760483E+00-0.737623210E+00-0.739527344E+00 --0.741471059E+00-0.743451308E+00-0.745468864E+00-0.747523740E+00-0.749615939E+00 --0.751742182E+00-0.753899322E+00-0.756088087E+00-0.758308220E+00-0.760560367E+00 --0.762835977E+00-0.765133456E+00-0.767452804E+00-0.769794020E+00-0.772157106E+00 --0.774542960E+00-0.776946115E+00-0.779359164E+00-0.781779257E+00-0.784206395E+00 --0.786640578E+00-0.789081806E+00-0.791529608E+00-0.793976688E+00-0.796421817E+00 --0.798865544E+00-0.801308006E+00-0.803749204E+00-0.806189138E+00-0.808629025E+00 --0.811067644E+00-0.813506658E+00-0.815946129E+00-0.818385679E+00-0.820825308E+00 --0.823265016E+00-0.825705962E+00-0.828148710E+00-0.830593197E+00-0.833039508E+00 --0.835487681E+00-0.837937533E+00-0.840389604E+00-0.842844922E+00-0.845303440E+00 --0.847764678E+00-0.850228515E+00-0.852695420E+00-0.855166444E+00-0.857641554E+00 --0.860120656E+00-0.862603538E+00-0.865091305E+00-0.867583509E+00-0.870080329E+00 --0.872582029E+00-0.875088610E+00-0.877600467E+00-0.880118230E+00-0.882641695E+00 --0.885170721E+00-0.887705775E+00-0.890246858E+00-0.892794202E+00-0.895348018E+00 --0.897908454E+00-0.900475738E+00-0.903049977E+00-0.905631169E+00-0.908219315E+00 --0.910814496E+00-0.913417478E+00-0.916028431E+00-0.918647353E+00-0.921274057E+00 --0.923908433E+00-0.926550780E+00-0.929201764E+00-0.931861299E+00-0.934529418E+00 --0.937206097E+00-0.939891246E+00-0.942585572E+00-0.945289073E+00-0.948001552E+00 --0.950723026E+00-0.953454158E+00-0.956194655E+00-0.958944589E+00-0.961704403E+00 --0.964474090E+00-0.967253403E+00-0.970042675E+00-0.972842188E+00-0.975651829E+00 --0.978471579E+00-0.981301437E+00-0.984141827E+00-0.986993040E+00-0.989854587E+00 --0.992726626E+00-0.995609165E+00-0.998502568E+00-0.100140703E+01-0.100432226E+01 --0.100724855E+01-0.101018583E+01-0.101313407E+01-0.101609346E+01-0.101906404E+01 --0.102204588E+01-0.102503880E+01-0.102804290E+01-0.103105845E+01-0.103408550E+01 --0.103712463E+01-0.104017471E+01-0.104323573E+01-0.104630755E+01-0.104939052E+01 --0.821146332E+00-0.820765698E+00-0.820369761E+00-0.819958519E+00-0.819531974E+00 --0.819090124E+00-0.818632970E+00-0.818160512E+00-0.817672750E+00-0.817169685E+00 --0.816651741E+00-0.816116283E+00-0.815564135E+00-0.814995556E+00-0.814410502E+00 --0.813808458E+00-0.813189320E+00-0.812553155E+00-0.811899956E+00-0.811229677E+00 --0.810541506E+00-0.809835473E+00-0.809111731E+00-0.808369920E+00-0.807610043E+00 --0.806832098E+00-0.806035161E+00-0.805219664E+00-0.804385231E+00-0.803531860E+00 --0.802659553E+00-0.801768255E+00-0.800857092E+00-0.799925785E+00-0.798974572E+00 --0.798003617E+00-0.797012702E+00-0.796000547E+00-0.794968290E+00-0.793915806E+00 --0.792843081E+00-0.791750114E+00-0.790637026E+00-0.789505117E+00-0.788354447E+00 --0.787185015E+00-0.785997172E+00-0.784791333E+00-0.783569381E+00-0.782331772E+00 --0.781078508E+00-0.779809658E+00-0.778525204E+00-0.777226783E+00-0.775916108E+00 --0.774593422E+00-0.773258695E+00-0.771912091E+00-0.770556025E+00-0.769191164E+00 --0.767817571E+00-0.766435688E+00-0.765045782E+00-0.763650623E+00-0.762251036E+00 --0.760847021E+00-0.759438579E+00-0.758026521E+00-0.756612874E+00-0.755199287E+00 --0.753785762E+00-0.752372297E+00-0.750959164E+00-0.749549067E+00-0.748142659E+00 --0.746740370E+00-0.745343030E+00-0.743950649E+00-0.742564608E+00-0.741187313E+00 --0.739818864E+00-0.738459276E+00-0.737108542E+00-0.735767605E+00-0.734439252E+00 --0.733123566E+00-0.731820548E+00-0.730530065E+00-0.729254498E+00-0.727995133E+00 --0.726751972E+00-0.725525014E+00-0.724314404E+00-0.723121931E+00-0.721947599E+00 --0.720793111E+00-0.719658563E+00-0.718544537E+00-0.717451191E+00-0.716379136E+00 --0.715330011E+00-0.714303942E+00-0.713301034E+00-0.712321294E+00-0.711366385E+00 --0.710436476E+00-0.709532138E+00-0.708653536E+00-0.707800857E+00-0.706975853E+00 --0.706178688E+00-0.705409363E+00-0.704667877E+00-0.703953888E+00-0.703270200E+00 --0.702616497E+00-0.701992868E+00-0.701399311E+00-0.700836152E+00-0.700304654E+00 --0.699804931E+00-0.699337032E+00-0.698901886E+00-0.698499603E+00-0.698130806E+00 --0.697795681E+00-0.697494228E+00-0.697226556E+00-0.696994173E+00-0.696797243E+00 --0.696635998E+00-0.696510313E+00-0.696420424E+00-0.696367794E+00-0.696352581E+00 --0.696374572E+00-0.696433684E+00-0.696531387E+00-0.696667594E+00-0.696842848E+00 --0.697057306E+00-0.697310968E+00-0.697604790E+00-0.697938925E+00-0.698313331E+00 --0.698729293E+00-0.699186811E+00-0.699685855E+00-0.700226300E+00-0.700809427E+00 --0.701435599E+00-0.702104980E+00-0.702817570E+00-0.703573368E+00-0.704372829E+00 --0.705216770E+00-0.706105039E+00-0.707038229E+00-0.708016133E+00-0.709038682E+00 --0.710106609E+00-0.711219909E+00-0.712378566E+00-0.713582731E+00-0.714832405E+00 --0.716127587E+00-0.717469144E+00-0.718855833E+00-0.720287489E+00-0.721763992E+00 --0.723285348E+00-0.724851565E+00-0.726462641E+00-0.728118577E+00-0.729818717E+00 --0.731561481E+00-0.733346106E+00-0.735172532E+00-0.737040839E+00-0.738951357E+00 --0.740901418E+00-0.742888992E+00-0.744914081E+00-0.746976683E+00-0.749076957E+00 --0.751210940E+00-0.753376303E+00-0.755573035E+00-0.757801136E+00-0.760061139E+00 --0.762347255E+00-0.764655240E+00-0.766985024E+00-0.769336832E+00-0.771710690E+00 --0.774105949E+00-0.776516255E+00-0.778940845E+00-0.781372632E+00-0.783811336E+00 --0.786256938E+00-0.788709437E+00-0.791168835E+00-0.793629445E+00-0.796086108E+00 --0.798541425E+00-0.800995396E+00-0.803448021E+00-0.805899300E+00-0.808350037E+00 --0.810800137E+00-0.813249661E+00-0.815699531E+00-0.818149557E+00-0.820599662E+00 --0.823049846E+00-0.825500463E+00-0.827952740E+00-0.830406756E+00-0.832862510E+00 --0.835320003E+00-0.837779180E+00-0.840240846E+00-0.842705134E+00-0.845172020E+00 --0.847641504E+00-0.850113586E+00-0.852588497E+00-0.855067369E+00-0.857550328E+00 --0.860037373E+00-0.862528505E+00-0.865023731E+00-0.867523012E+00-0.870027179E+00 --0.872536278E+00-0.875050309E+00-0.877569271E+00-0.880093521E+00-0.882623331E+00 --0.885159044E+00-0.887700660E+00-0.890248178E+00-0.892801599E+00-0.895361591E+00 --0.897927904E+00-0.900500854E+00-0.903080826E+00-0.905667819E+00-0.908261833E+00 --0.910862869E+00-0.913471392E+00-0.916087614E+00-0.918711524E+00-0.921343124E+00 --0.923982414E+00-0.926629526E+00-0.929285090E+00-0.931949189E+00-0.934621823E+00 --0.937302862E+00-0.939992507E+00-0.942690990E+00-0.945398542E+00-0.948115103E+00 --0.950840641E+00-0.953575194E+00-0.956319355E+00-0.959073198E+00-0.961836581E+00 --0.964609504E+00-0.967391966E+00-0.970184117E+00-0.972986404E+00-0.975798842E+00 --0.978621431E+00-0.981454170E+00-0.984297288E+00-0.987150763E+00-0.990014562E+00 --0.992888853E+00-0.995773636E+00-0.998669058E+00-0.100157525E+01-0.100449209E+01 --0.100741973E+01-0.101035834E+01-0.101330790E+01-0.101626842E+01-0.101924010E+01 --0.102222271E+01-0.102521642E+01-0.102822122E+01-0.103123713E+01-0.103426471E+01 --0.103730360E+01-0.104035343E+01-0.104341420E+01-0.104648592E+01-0.104956859E+01 --0.820697904E+00-0.820313929E+00-0.819914650E+00-0.819500067E+00-0.819070180E+00 --0.818624988E+00-0.818164493E+00-0.817688693E+00-0.817197567E+00-0.816691044E+00 --0.816169305E+00-0.815630503E+00-0.815074750E+00-0.814502482E+00-0.813913319E+00 --0.813307443E+00-0.812684437E+00-0.812044397E+00-0.811387323E+00-0.810713069E+00 --0.810020908E+00-0.809310739E+00-0.808582526E+00-0.807836144E+00-0.807071694E+00 --0.806289120E+00-0.805487584E+00-0.804666957E+00-0.803827246E+00-0.802968573E+00 --0.802090963E+00-0.801194133E+00-0.800277211E+00-0.799340144E+00-0.798382931E+00 --0.797405572E+00-0.796407319E+00-0.795388430E+00-0.794349304E+00-0.793289850E+00 --0.792210071E+00-0.791110025E+00-0.789989509E+00-0.788850012E+00-0.787692318E+00 --0.786516425E+00-0.785322336E+00-0.784110035E+00-0.782881502E+00-0.781637312E+00 --0.780377468E+00-0.779102020E+00-0.777811817E+00-0.776507503E+00-0.775191032E+00 --0.773862618E+00-0.772522262E+00-0.771170367E+00-0.769809533E+00-0.768439903E+00 --0.767061486E+00-0.765674285E+00-0.764280095E+00-0.762881211E+00-0.761477674E+00 --0.760069484E+00-0.758656911E+00-0.757241510E+00-0.755824761E+00-0.754408343E+00 --0.752992257E+00-0.751576502E+00-0.750161079E+00-0.748747638E+00-0.747339101E+00 --0.745935524E+00-0.744536905E+00-0.743143244E+00-0.741756363E+00-0.740378233E+00 --0.739008854E+00-0.737648263E+00-0.736296556E+00-0.734955494E+00-0.733627100E+00 --0.732311296E+00-0.731008625E+00-0.729718993E+00-0.728443800E+00-0.727185080E+00 --0.725942833E+00-0.724717058E+00-0.723507756E+00-0.722315262E+00-0.721142736E+00 --0.719990245E+00-0.718857675E+00-0.717745039E+00-0.716653287E+00-0.715583488E+00 --0.714536699E+00-0.713512922E+00-0.712512155E+00-0.711534575E+00-0.710581748E+00 --0.709654615E+00-0.708753219E+00-0.707877558E+00-0.707027676E+00-0.706205197E+00 --0.705410555E+00-0.704643891E+00-0.703905279E+00-0.703194720E+00-0.702513663E+00 --0.701862792E+00-0.701242092E+00-0.700651657E+00-0.700091827E+00-0.699563702E+00 --0.699067157E+00-0.698602506E+00-0.698170127E+00-0.697770715E+00-0.697405137E+00 --0.697073392E+00-0.696775481E+00-0.696511252E+00-0.696281780E+00-0.696088082E+00 --0.695929886E+00-0.695807193E+00-0.695720254E+00-0.695670522E+00-0.695658207E+00 --0.695683311E+00-0.695745900E+00-0.695846034E+00-0.695985240E+00-0.696163768E+00 --0.696381572E+00-0.696638582E+00-0.696934796E+00-0.697271581E+00-0.697649524E+00 --0.698068774E+00-0.698529333E+00-0.699031200E+00-0.699574494E+00-0.700160648E+00 --0.700789879E+00-0.701462268E+00-0.702177877E+00-0.702936695E+00-0.703739578E+00 --0.704586621E+00-0.705477908E+00-0.706414040E+00-0.707395089E+00-0.708421142E+00 --0.709492400E+00-0.710609115E+00-0.711771478E+00-0.712979359E+00-0.714232748E+00 --0.715531647E+00-0.716876625E+00-0.718267917E+00-0.719703936E+00-0.721184817E+00 --0.722710595E+00-0.724281234E+00-0.725896733E+00-0.727557092E+00-0.729261983E+00 --0.731010287E+00-0.732800533E+00-0.734632649E+00-0.736506734E+00-0.738422334E+00 --0.740378379E+00-0.742372239E+00-0.744403612E+00-0.746472550E+00-0.748579381E+00 --0.750720858E+00-0.752893781E+00-0.755098117E+00-0.757333865E+00-0.759600646E+00 --0.761894870E+00-0.764212644E+00-0.766553035E+00-0.768915475E+00-0.771299965E+00 --0.773702736E+00-0.776120349E+00-0.778553044E+00-0.780995458E+00-0.783445158E+00 --0.785902384E+00-0.788366835E+00-0.790838183E+00-0.793307916E+00-0.795776091E+00 --0.798242072E+00-0.800706706E+00-0.803169995E+00-0.805631942E+00-0.808092822E+00 --0.810552766E+00-0.813011673E+00-0.815470836E+00-0.817930294E+00-0.820390048E+00 --0.822850097E+00-0.825310556E+00-0.827772168E+00-0.830235054E+00-0.832699215E+00 --0.835164650E+00-0.837631558E+00-0.840101043E+00-0.842573233E+00-0.845048129E+00 --0.847525737E+00-0.850006064E+00-0.852489059E+00-0.854975779E+00-0.857466317E+00 --0.859960435E+00-0.862458146E+00-0.864959916E+00-0.867466332E+00-0.869977249E+00 --0.872492755E+00-0.875013192E+00-0.877538561E+00-0.880069317E+00-0.882605560E+00 --0.885147113E+00-0.887694534E+00-0.890247858E+00-0.892807119E+00-0.895372710E+00 --0.897944709E+00-0.900523093E+00-0.903108342E+00-0.905700613E+00-0.908299896E+00 --0.910906065E+00-0.913519165E+00-0.916139878E+00-0.918768388E+00-0.921404695E+00 --0.924048818E+00-0.926700638E+00-0.929360836E+00-0.932029210E+00-0.934705759E+00 --0.937390563E+00-0.940084308E+00-0.942786679E+00-0.945497713E+00-0.948217800E+00 --0.950946941E+00-0.953685295E+00-0.956432918E+00-0.959189654E+00-0.961956021E+00 --0.964732018E+00-0.967517626E+00-0.970312757E+00-0.973117823E+00-0.975932944E+00 --0.978758037E+00-0.981593102E+00-0.984438486E+00-0.987294083E+00-0.990159809E+00 --0.993036028E+00-0.995922738E+00-0.998820132E+00-0.100172804E+01-0.100464655E+01 --0.100757555E+01-0.101051541E+01-0.101346622E+01-0.101642775E+01-0.101939997E+01 --0.102238321E+01-0.102537757E+01-0.102838305E+01-0.103139964E+01-0.103442688E+01 --0.103746560E+01-0.104051518E+01-0.104357568E+01-0.104664716E+01-0.104972958E+01 --0.820290717E+00-0.819903401E+00-0.819500780E+00-0.819082855E+00-0.818649626E+00 --0.818201116E+00-0.817737387E+00-0.817258441E+00-0.816764278E+00-0.816254899E+00 --0.815730303E+00-0.815188277E+00-0.814629182E+00-0.814053457E+00-0.813461188E+00 --0.812852076E+00-0.812225656E+00-0.811581928E+00-0.810920979E+00-0.810242822E+00 --0.809546669E+00-0.808832510E+00-0.808100343E+00-0.807350054E+00-0.806581418E+00 --0.805794445E+00-0.804988382E+00-0.804163226E+00-0.803318980E+00-0.802455575E+00 --0.801572662E+00-0.800670164E+00-0.799747485E+00-0.798804716E+00-0.797841837E+00 --0.796858832E+00-0.795854721E+00-0.794829563E+00-0.793783863E+00-0.792717836E+00 --0.791631480E+00-0.790524493E+00-0.789397806E+00-0.788252580E+00-0.787088970E+00 --0.785906835E+00-0.784706498E+00-0.783487601E+00-0.782252487E+00-0.781001551E+00 --0.779736068E+00-0.778456084E+00-0.777161598E+00-0.775852612E+00-0.774529913E+00 --0.773195412E+00-0.771848966E+00-0.770492485E+00-0.769127218E+00-0.767753143E+00 --0.766371012E+00-0.764980901E+00-0.763582808E+00-0.762179368E+00-0.760771434E+00 --0.759359216E+00-0.757944241E+00-0.756526447E+00-0.755106690E+00-0.753687165E+00 --0.752267973E+00-0.750849253E+00-0.749431646E+00-0.748016882E+00-0.746606764E+00 --0.745201649E+00-0.743801537E+00-0.742406699E+00-0.741019210E+00-0.739640083E+00 --0.738269748E+00-0.736908205E+00-0.735555834E+00-0.734214037E+00-0.732886018E+00 --0.731571133E+00-0.730269382E+00-0.728980764E+00-0.727705923E+00-0.726447428E+00 --0.725205405E+00-0.723979855E+00-0.722771905E+00-0.721581897E+00-0.720410423E+00 --0.719259052E+00-0.718127798E+00-0.717016818E+00-0.715927314E+00-0.714859452E+00 --0.713814465E+00-0.712792385E+00-0.711793333E+00-0.710818635E+00-0.709868252E+00 --0.708943217E+00-0.708044014E+00-0.707170642E+00-0.706323773E+00-0.705503560E+00 --0.704711310E+00-0.703947438E+00-0.703211686E+00-0.702503988E+00-0.701825756E+00 --0.701177699E+00-0.700559756E+00-0.699971930E+00-0.699414945E+00-0.698889548E+00 --0.698395992E+00-0.697934106E+00-0.697504774E+00-0.697108476E+00-0.696745418E+00 --0.696416193E+00-0.696120801E+00-0.695859481E+00-0.695633323E+00-0.695442456E+00 --0.695287189E+00-0.695167486E+00-0.695083498E+00-0.695036664E+00-0.695027219E+00 --0.695055105E+00-0.695120528E+00-0.695223499E+00-0.695365112E+00-0.695546047E+00 --0.695766304E+00-0.696025882E+00-0.696325586E+00-0.696665267E+00-0.697045500E+00 --0.697467271E+00-0.697930581E+00-0.698435309E+00-0.698981446E+00-0.699570350E+00 --0.700202331E+00-0.700877390E+00-0.701595527E+00-0.702357290E+00-0.703163131E+00 --0.704013115E+00-0.704907265E+00-0.705846341E+00-0.706830200E+00-0.707859230E+00 --0.708933735E+00-0.710053715E+00-0.711219211E+00-0.712430269E+00-0.713686888E+00 --0.714989069E+00-0.716337037E+00-0.717731261E+00-0.719171194E+00-0.720656509E+00 --0.722186685E+00-0.723761720E+00-0.725381624E+00-0.727046045E+00-0.728754496E+00 --0.730506976E+00-0.732302871E+00-0.734140669E+00-0.736019902E+00-0.737940032E+00 --0.739901258E+00-0.741901402E+00-0.743939061E+00-0.746014066E+00-0.748125833E+00 --0.750274025E+00-0.752454475E+00-0.754666237E+00-0.756908524E+00-0.759181169E+00 --0.761482711E+00-0.763808011E+00-0.766156681E+00-0.768528722E+00-0.770923192E+00 --0.773333440E+00-0.775758585E+00-0.778198627E+00-0.780651367E+00-0.783111606E+00 --0.785579130E+00-0.788053938E+00-0.790535325E+00-0.793013789E+00-0.795491125E+00 --0.797967350E+00-0.800442649E+00-0.802916256E+00-0.805387180E+00-0.807857170E+00 --0.810326225E+00-0.812794513E+00-0.815262805E+00-0.817731004E+00-0.820199110E+00 --0.822667122E+00-0.825135787E+00-0.827605565E+00-0.830076445E+00-0.832548599E+00 --0.835022026E+00-0.837496368E+00-0.839973239E+00-0.842452814E+00-0.844935096E+00 --0.847420047E+00-0.849907277E+00-0.852396878E+00-0.854890268E+00-0.857387410E+00 --0.859888215E+00-0.862392601E+00-0.864900646E+00-0.867413139E+00-0.869930156E+00 --0.872451697E+00-0.874978021E+00-0.877509753E+00-0.880045996E+00-0.882587682E+00 --0.885134811E+00-0.887687666E+00-0.890246795E+00-0.892811174E+00-0.895381893E+00 --0.897959019E+00-0.900542525E+00-0.903132518E+00-0.905729528E+00-0.908333411E+00 --0.910944165E+00-0.913561800E+00-0.916186899E+00-0.918819794E+00-0.921460384E+00 --0.924108424E+00-0.926764316E+00-0.929428426E+00-0.932100633E+00-0.934781015E+00 --0.937469565E+00-0.940166616E+00-0.942872412E+00-0.945586955E+00-0.948310501E+00 --0.951043131E+00-0.953784667E+00-0.956535193E+00-0.959294766E+00-0.962063869E+00 --0.964842602E+00-0.967630990E+00-0.970429022E+00-0.973236540E+00-0.976053926E+00 --0.978881284E+00-0.981718664E+00-0.984566194E+00-0.987423695E+00-0.990291269E+00 --0.993169298E+00-0.996057751E+00-0.998956557E+00-0.100186586E+01-0.100478567E+01 --0.100771612E+01-0.101065727E+01-0.101360906E+01-0.101657150E+01-0.101954456E+01 --0.102252838E+01-0.102552330E+01-0.102852922E+01-0.103154587E+01-0.103457325E+01 --0.103761182E+01-0.104066124E+01-0.104372151E+01-0.104679262E+01-0.104987459E+01 --0.819924770E+00-0.819534128E+00-0.819128409E+00-0.818707473E+00-0.818271321E+00 --0.817819952E+00-0.817353366E+00-0.816871563E+00-0.816374544E+00-0.815862307E+00 --0.815334855E+00-0.814789604E+00-0.814227642E+00-0.813649117E+00-0.813053873E+00 --0.812441521E+00-0.811811860E+00-0.811164940E+00-0.810500597E+00-0.809818662E+00 --0.809119007E+00-0.808401343E+00-0.807665673E+00-0.806911839E+00-0.806138955E+00 --0.805347952E+00-0.804537761E+00-0.803708380E+00-0.802859812E+00-0.801992054E+00 --0.801104625E+00-0.800197319E+00-0.799269511E+00-0.798321578E+00-0.797353520E+00 --0.796365013E+00-0.795355430E+00-0.794324844E+00-0.793273103E+00-0.792200491E+00 --0.791107798E+00-0.789995596E+00-0.788863882E+00-0.787712877E+00-0.786543452E+00 --0.785355645E+00-0.784149369E+00-0.782923913E+00-0.781682858E+00-0.780427407E+00 --0.779157559E+00-0.777873292E+00-0.776574524E+00-0.775261254E+00-0.773933484E+00 --0.772592322E+00-0.771239721E+00-0.769878751E+00-0.768509800E+00-0.767132869E+00 --0.765747957E+00-0.764355064E+00-0.762954190E+00-0.761545336E+00-0.760133073E+00 --0.758718489E+00-0.757301086E+00-0.755880864E+00-0.754458257E+00-0.753035626E+00 --0.751614005E+00-0.750193489E+00-0.748774294E+00-0.747358504E+00-0.745946825E+00 --0.744540081E+00-0.743138339E+00-0.741742453E+00-0.740354425E+00-0.738974243E+00 --0.737602731E+00-0.736240373E+00-0.734888625E+00-0.733547142E+00-0.732218582E+00 --0.730903784E+00-0.729602748E+00-0.728315238E+00-0.727040674E+00-0.725781933E+00 --0.724540139E+00-0.723315884E+00-0.722109482E+00-0.720920933E+00-0.719750494E+00 --0.718600197E+00-0.717469953E+00-0.716360824E+00-0.715273229E+00-0.714207167E+00 --0.713163647E+00-0.712143015E+00-0.711146183E+00-0.710173727E+00-0.709225648E+00 --0.708302571E+00-0.707405280E+00-0.706534227E+00-0.705689771E+00-0.704871922E+00 --0.704081736E+00-0.703319938E+00-0.702586530E+00-0.701881762E+00-0.701206002E+00 --0.700560488E+00-0.699945130E+00-0.699359890E+00-0.698805553E+00-0.698282878E+00 --0.697791784E+00-0.697332280E+00-0.696905402E+00-0.696511803E+00-0.696151478E+00 --0.695824773E+00-0.695531485E+00-0.695272883E+00-0.695049573E+00-0.694861555E+00 --0.694708829E+00-0.694591394E+00-0.694510121E+00-0.694465608E+00-0.694458633E+00 --0.694489196E+00-0.694557297E+00-0.694662936E+00-0.694806851E+00-0.694990193E+00 --0.695212726E+00-0.695474907E+00-0.695777124E+00-0.696119375E+00-0.696501866E+00 --0.696925777E+00-0.697391227E+00-0.697898333E+00-0.698447604E+00-0.699039018E+00 --0.699673299E+00-0.700350598E+00-0.701070914E+00-0.701834948E+00-0.702643331E+00 --0.703496058E+00-0.704393130E+00-0.705334444E+00-0.706320707E+00-0.707352553E+00 --0.708429873E+00-0.709552669E+00-0.710720939E+00-0.711934789E+00-0.713194627E+00 --0.714500027E+00-0.715851216E+00-0.717248311E+00-0.718691034E+00-0.720179384E+00 --0.721713362E+00-0.723292897E+00-0.724916869E+00-0.726584870E+00-0.728296901E+00 --0.730052962E+00-0.731853111E+00-0.733696035E+00-0.735579798E+00-0.737504458E+00 --0.739470053E+00-0.741476483E+00-0.743519850E+00-0.745599815E+00-0.747716518E+00 --0.749870442E+00-0.752057893E+00-0.754275680E+00-0.756523827E+00-0.758802332E+00 --0.761110825E+00-0.763443809E+00-0.765800163E+00-0.768179285E+00-0.770579893E+00 --0.772998187E+00-0.775430983E+00-0.777878312E+00-0.780340446E+00-0.782811225E+00 --0.785288420E+00-0.787770880E+00-0.790258597E+00-0.792746486E+00-0.795233167E+00 --0.797718740E+00-0.800203169E+00-0.802684642E+00-0.805164594E+00-0.807643069E+00 --0.810120287E+00-0.812597211E+00-0.815072938E+00-0.817548744E+00-0.820024737E+00 --0.822500782E+00-0.824976915E+00-0.827453952E+00-0.829931969E+00-0.832411171E+00 --0.834891979E+00-0.837373530E+00-0.839857843E+00-0.842344392E+00-0.844833173E+00 --0.847324184E+00-0.849817427E+00-0.852312920E+00-0.854812191E+00-0.857315213E+00 --0.859821988E+00-0.862332491E+00-0.864846582E+00-0.867364536E+00-0.869887092E+00 --0.872414250E+00-0.874946010E+00-0.877483059E+00-0.880024413E+00-0.882571119E+00 --0.885123286E+00-0.887680913E+00-0.890244709E+00-0.892814267E+00-0.895389706E+00 --0.897971275E+00-0.900558974E+00-0.903152957E+00-0.905753928E+00-0.908361966E+00 --0.910977072E+00-0.913599266E+00-0.916228656E+00-0.918865452E+00-0.921509693E+00 --0.924161379E+00-0.926820731E+00-0.929488209E+00-0.932163826E+00-0.934847644E+00 --0.937539867E+00-0.940240223E+00-0.942949326E+00-0.945667121E+00-0.948393414E+00 --0.951128779E+00-0.953873085E+00-0.956626426E+00-0.959388756E+00-0.962160541E+00 --0.964941926E+00-0.967732648E+00-0.970532873E+00-0.973342601E+00-0.976162161E+00 --0.978991784E+00-0.981831125E+00-0.984680425E+00-0.987539697E+00-0.990408941E+00 --0.993288749E+00-0.996178607E+00-0.999078802E+00-0.100198945E+01-0.100491036E+01 --0.100784180E+01-0.101078388E+01-0.101373659E+01-0.101669991E+01-0.101967389E+01 --0.102265842E+01-0.102565382E+01-0.102865995E+01-0.103167681E+01-0.103470440E+01 --0.103774281E+01-0.104079207E+01-0.104385217E+01-0.104692313E+01-0.105000494E+01 --0.819601303E+00-0.819207944E+00-0.818799369E+00-0.818375576E+00-0.817936567E+00 --0.817482341E+00-0.817012898E+00-0.816528239E+00-0.816028362E+00-0.815513269E+00 --0.814982959E+00-0.814435486E+00-0.813870911E+00-0.813289594E+00-0.812691374E+00 --0.812076015E+00-0.811443537E+00-0.810793927E+00-0.810126758E+00-0.809441701E+00 --0.808738828E+00-0.808017958E+00-0.807279080E+00-0.806521837E+00-0.805745670E+00 --0.804950624E+00-0.804136696E+00-0.803303580E+00-0.802451239E+00-0.801579216E+00 --0.800687484E+00-0.799776037E+00-0.798844148E+00-0.797891610E+00-0.796918445E+00 --0.795924410E+00-0.794909491E+00-0.793873739E+00-0.792816837E+00-0.791738973E+00 --0.790641455E+00-0.789524308E+00-0.788387650E+00-0.787231243E+00-0.786056003E+00 --0.784862498E+00-0.783651513E+00-0.782423186E+00-0.781177252E+00-0.779916668E+00 --0.778641687E+00-0.777352311E+00-0.776048538E+00-0.774730518E+00-0.773398753E+00 --0.772054488E+00-0.770698465E+00-0.769333872E+00-0.767961312E+00-0.766580759E+00 --0.765192215E+00-0.763795680E+00-0.762391153E+00-0.760979204E+00-0.759564991E+00 --0.758147913E+00-0.756727969E+00-0.755305161E+00-0.753879798E+00-0.752455326E+00 --0.751031926E+00-0.749609597E+00-0.748189047E+00-0.746772253E+00-0.745359336E+00 --0.743950962E+00-0.742547592E+00-0.741150864E+00-0.739762029E+00-0.738381086E+00 --0.737008485E+00-0.735646244E+00-0.734294738E+00-0.732953854E+00-0.731624909E+00 --0.730309726E+00-0.729008306E+00-0.727720647E+00-0.726447392E+00-0.725189421E+00 --0.723948027E+00-0.722724706E+00-0.721519460E+00-0.720332289E+00-0.719163135E+00 --0.718013063E+00-0.716884402E+00-0.715777130E+00-0.714691248E+00-0.713626754E+00 --0.712584309E+00-0.711565285E+00-0.710570412E+00-0.709599908E+00-0.708653775E+00 --0.707732432E+00-0.706836805E+00-0.705967866E+00-0.705125704E+00-0.704310180E+00 --0.703522007E+00-0.702762314E+00-0.702031169E+00-0.701328573E+00-0.700654833E+00 --0.700011256E+00-0.699397988E+00-0.698815058E+00-0.698263226E+00-0.697742863E+00 --0.697254140E+00-0.696797021E+00-0.696372596E+00-0.695981452E+00-0.695623553E+00 --0.695298684E+00-0.695007597E+00-0.694751627E+00-0.694530775E+00-0.694345040E+00 --0.694194423E+00-0.694078924E+00-0.694000166E+00-0.693957889E+00-0.693952805E+00 --0.693985535E+00-0.694056079E+00-0.694164438E+00-0.694310456E+00-0.694495248E+00 --0.694719894E+00-0.694984574E+00-0.695289290E+00-0.695634039E+00-0.696018824E+00 --0.696444512E+00-0.696911773E+00-0.697421139E+00-0.697972624E+00-0.698566226E+00 --0.699202564E+00-0.699882008E+00-0.700604446E+00-0.701370735E+00-0.702181369E+00 --0.703036310E+00-0.703935634E+00-0.704879382E+00-0.705867746E+00-0.706901730E+00 --0.707981394E+00-0.709106739E+00-0.710277763E+00-0.711494467E+00-0.712756538E+00 --0.714064468E+00-0.715418753E+00-0.716818725E+00-0.718264315E+00-0.719755476E+00 --0.721292235E+00-0.722874535E+00-0.724502007E+00-0.726173824E+00-0.727889655E+00 --0.729649489E+00-0.731452791E+00-0.733299135E+00-0.735186931E+00-0.737115768E+00 --0.739085696E+00-0.741096732E+00-0.743145143E+00-0.745230283E+00-0.747352108E+00 --0.749511074E+00-0.751702826E+00-0.753925762E+00-0.756179770E+00-0.758464135E+00 --0.760778858E+00-0.763119879E+00-0.765482922E+00-0.767867382E+00-0.770273285E+00 --0.772699023E+00-0.775139599E+00-0.777594678E+00-0.780063194E+00-0.782542443E+00 --0.785027069E+00-0.787516599E+00-0.790011387E+00-0.792508230E+00-0.795003680E+00 --0.797497158E+00-0.799988586E+00-0.802478006E+00-0.804965808E+00-0.807452094E+00 --0.809936883E+00-0.812420611E+00-0.814903392E+00-0.817386158E+00-0.819869122E+00 --0.822352266E+00-0.824835047E+00-0.827318396E+00-0.829802745E+00-0.832288094E+00 --0.834775502E+00-0.837263369E+00-0.839753126E+00-0.842245346E+00-0.844740062E+00 --0.847237087E+00-0.849736344E+00-0.852237832E+00-0.854742884E+00-0.857251222E+00 --0.859763056E+00-0.862278563E+00-0.864797746E+00-0.867320650E+00-0.869848238E+00 --0.872380474E+00-0.874917301E+00-0.877458645E+00-0.880004524E+00-0.882555602E+00 --0.885112140E+00-0.887674140E+00-0.890241898E+00-0.892815629E+00-0.895395333E+00 --0.897981078E+00-0.900572953E+00-0.903170955E+00-0.905775765E+00-0.908387643E+00 --0.911006533E+00-0.913632244E+00-0.916264795E+00-0.918904781E+00-0.921552416E+00 --0.924207692E+00-0.926870470E+00-0.929541286E+00-0.932220045E+00-0.934906738E+00 --0.937601919E+00-0.940305251E+00-0.943017060E+00-0.945737423E+00-0.948466610E+00 --0.951204567E+00-0.953951079E+00-0.956706790E+00-0.959471727E+00-0.962246009E+00 --0.965029313E+00-0.967822152E+00-0.970624526E+00-0.973436435E+00-0.976257878E+00 --0.979089010E+00-0.981930109E+00-0.984781180E+00-0.987642223E+00-0.990513237E+00 --0.993394255E+00-0.996285553E+00-0.999187091E+00-0.100209887E+01-0.100502089E+01 --0.100795322E+01-0.101089615E+01-0.101384969E+01-0.101681377E+01-0.101978812E+01 --0.102277329E+01-0.102576908E+01-0.102877549E+01-0.103179252E+01-0.103482032E+01 --0.103785857E+01-0.104090769E+01-0.104396762E+01-0.104703838E+01-0.105011996E+01 --0.819315480E+00-0.818919958E+00-0.818509242E+00-0.818083329E+00-0.817642222E+00 --0.817185920E+00-0.816714422E+00-0.816227730E+00-0.815725842E+00-0.815208759E+00 --0.814676481E+00-0.814126718E+00-0.813559637E+00-0.812975704E+00-0.812374754E+00 --0.811756816E+00-0.811121651E+00-0.810469369E+00-0.809799552E+00-0.809111878E+00 --0.808406236E+00-0.807682158E+00-0.806940410E+00-0.806180051E+00-0.805400763E+00 --0.804602545E+00-0.803785242E+00-0.802948937E+00-0.802092967E+00-0.801217288E+00 --0.800321899E+00-0.799406645E+00-0.798470554E+00-0.797513800E+00-0.796536218E+00 --0.795537676E+00-0.794518245E+00-0.793477981E+00-0.792416223E+00-0.791334166E+00 --0.790232438E+00-0.789110761E+00-0.787969136E+00-0.786807678E+00-0.785627567E+00 --0.784430154E+00-0.783215400E+00-0.781983305E+00-0.780733798E+00-0.779468081E+00 --0.778187976E+00-0.776894029E+00-0.775586260E+00-0.774264669E+00-0.772929567E+00 --0.771583045E+00-0.770225428E+00-0.768857307E+00-0.767481206E+00-0.766097160E+00 --0.764705146E+00-0.763304740E+00-0.761896342E+00-0.760482631E+00-0.759066228E+00 --0.757647146E+00-0.756225051E+00-0.754799942E+00-0.753372973E+00-0.751946943E+00 --0.750521717E+00-0.749097575E+00-0.747675905E+00-0.746258108E+00-0.744844185E+00 --0.743434292E+00-0.742029469E+00-0.740631933E+00-0.739242166E+00-0.737860852E+00 --0.736488377E+00-0.735125779E+00-0.733774382E+00-0.732433852E+00-0.731104700E+00 --0.729789134E+00-0.728487397E+00-0.727200513E+00-0.725928597E+00-0.724671648E+00 --0.723430434E+00-0.722207366E+00-0.721002372E+00-0.719815511E+00-0.718647988E+00 --0.717500221E+00-0.716372557E+00-0.715266186E+00-0.714181203E+00-0.713117611E+00 --0.712076961E+00-0.711059910E+00-0.710066553E+00-0.709097495E+00-0.708152806E+00 --0.707232950E+00-0.706339485E+00-0.705472224E+00-0.704631631E+00-0.703817817E+00 --0.703031589E+00-0.702273864E+00-0.701544770E+00-0.700844224E+00-0.700172419E+00 --0.699530768E+00-0.698919320E+00-0.698338314E+00-0.697788732E+00-0.697270575E+00 --0.696783843E+00-0.696328385E+00-0.695906216E+00-0.695517146E+00-0.695161154E+00 --0.694838241E+00-0.694549466E+00-0.694295542E+00-0.694076526E+00-0.693892627E+00 --0.693743846E+00-0.693630449E+00-0.693553736E+00-0.693513791E+00-0.693510603E+00 --0.693544959E+00-0.693617130E+00-0.693727117E+00-0.693875684E+00-0.694063133E+00 --0.694289503E+00-0.694555632E+00-0.694861848E+00-0.695208175E+00-0.695595229E+00 --0.696023109E+00-0.696491879E+00-0.697002930E+00-0.697556534E+00-0.698152350E+00 --0.698790283E+00-0.699471735E+00-0.700196193E+00-0.700964549E+00-0.701777005E+00 --0.702633885E+00-0.703535188E+00-0.704480914E+00-0.705471262E+00-0.706507375E+00 --0.707589179E+00-0.708716610E+00-0.709889666E+00-0.711108348E+00-0.712372655E+00 --0.713682898E+00-0.715039561E+00-0.716442217E+00-0.717890475E+00-0.719384303E+00 --0.720923698E+00-0.722508347E+00-0.724138207E+00-0.725813280E+00-0.727532968E+00 --0.729295873E+00-0.731101968E+00-0.732951253E+00-0.734842999E+00-0.736775820E+00 --0.738749739E+00-0.740763317E+00-0.742816131E+00-0.744906102E+00-0.747032759E+00 --0.749196824E+00-0.751392189E+00-0.753618737E+00-0.755876469E+00-0.758165383E+00 --0.760487120E+00-0.762834317E+00-0.765202981E+00-0.767592831E+00-0.770004030E+00 --0.772436398E+00-0.774884748E+00-0.777346160E+00-0.779819691E+00-0.782304930E+00 --0.784796623E+00-0.787293252E+00-0.789794818E+00-0.792299029E+00-0.794801323E+00 --0.797301617E+00-0.799799910E+00-0.802296203E+00-0.804790594E+00-0.807283196E+00 --0.809774714E+00-0.812265160E+00-0.814754554E+00-0.817243936E+00-0.819732954E+00 --0.822221657E+00-0.824710047E+00-0.827199132E+00-0.829689229E+00-0.832180124E+00 --0.834672377E+00-0.837166142E+00-0.839661261E+00-0.842158415E+00-0.844658033E+00 --0.847160113E+00-0.849664586E+00-0.852171215E+00-0.854681259E+00-0.857193999E+00 --0.859710417E+00-0.862230511E+00-0.864754282E+00-0.867281737E+00-0.869813674E+00 --0.872349871E+00-0.874890857E+00-0.877436370E+00-0.879986399E+00-0.882541346E+00 --0.885102256E+00-0.887667919E+00-0.890239240E+00-0.892816534E+00-0.895399800E+00 --0.897989039E+00-0.900584463E+00-0.903186514E+00-0.905794944E+00-0.908410048E+00 --0.911031961E+00-0.913660682E+00-0.916296211E+00-0.918939172E+00-0.921589835E+00 --0.924248037E+00-0.926913826E+00-0.929587358E+00-0.932268821E+00-0.934958251E+00 --0.937655868E+00-0.940361712E+00-0.943076137E+00-0.945799052E+00-0.948530476E+00 --0.951270520E+00-0.954019258E+00-0.956777158E+00-0.959544289E+00-0.962320592E+00 --0.965105887E+00-0.967900388E+00-0.970704425E+00-0.973517997E+00-0.976341295E+00 --0.979174386E+00-0.982016772E+00-0.984869129E+00-0.987731457E+00-0.990603757E+00 --0.993486270E+00-0.996378702E+00-0.999281340E+00-0.100219423E+01-0.100511736E+01 --0.100805060E+01-0.101099437E+01-0.101394863E+01-0.101691323E+01-0.101988817E+01 --0.102287371E+01-0.102586986E+01-0.102887664E+01-0.103189399E+01-0.103492167E+01 --0.103795983E+01-0.104100880E+01-0.104406860E+01-0.104713922E+01-0.105022065E+01 --0.819070547E+00-0.818673886E+00-0.818261782E+00-0.817834236E+00-0.817391253E+00 --0.816933014E+00-0.816459580E+00-0.815970951E+00-0.815467127E+00-0.814948107E+00 --0.814413893E+00-0.813861827E+00-0.813292343E+00-0.812706273E+00-0.812103471E+00 --0.811483488E+00-0.810846116E+00-0.810191411E+00-0.809518977E+00-0.808828687E+00 --0.808120539E+00-0.807394484E+00-0.806649919E+00-0.805886556E+00-0.805104396E+00 --0.804303437E+00-0.803483681E+00-0.802644801E+00-0.801785931E+00-0.800907026E+00 --0.800008083E+00-0.799089114E+00-0.798149720E+00-0.797189448E+00-0.796208307E+00 --0.795206250E+00-0.794182306E+00-0.793137629E+00-0.792072529E+00-0.790987026E+00 --0.789881057E+00-0.788755076E+00-0.787609144E+00-0.786443746E+00-0.785260228E+00 --0.784059320E+00-0.782841017E+00-0.781605319E+00-0.780352147E+00-0.779082754E+00 --0.777799059E+00-0.776501464E+00-0.775190046E+00-0.773864807E+00-0.772527054E+00 --0.771178209E+00-0.769818269E+00-0.768447168E+00-0.767067650E+00-0.765680284E+00 --0.764285068E+00-0.762882002E+00-0.761471513E+00-0.760056813E+00-0.758638649E+00 --0.757217453E+00-0.755793242E+00-0.754366018E+00-0.752937651E+00-0.751510207E+00 --0.750083481E+00-0.748657567E+00-0.747234920E+00-0.745816119E+00-0.744401166E+00 --0.742990089E+00-0.741583406E+00-0.740184981E+00-0.738795401E+00-0.737414668E+00 --0.736042780E+00-0.734679792E+00-0.733327875E+00-0.731987131E+00-0.730657300E+00 --0.729341188E+00-0.728040179E+00-0.726754308E+00-0.725483406E+00-0.724227471E+00 --0.722986505E+00-0.721763347E+00-0.720558298E+00-0.719372485E+00-0.718206429E+00 --0.717060129E+00-0.715933587E+00-0.714827677E+00-0.713743595E+00-0.712681095E+00 --0.711641888E+00-0.710626280E+00-0.709634273E+00-0.708666463E+00-0.707723219E+00 --0.706804805E+00-0.705912726E+00-0.705047098E+00-0.704208047E+00-0.703395522E+00 --0.702611068E+00-0.701855109E+00-0.701127645E+00-0.700428716E+00-0.699758769E+00 --0.699118809E+00-0.698508629E+00-0.697929911E+00-0.697382397E+00-0.696865973E+00 --0.696380637E+00-0.695926737E+00-0.695506117E+00-0.695118726E+00-0.694764564E+00 --0.694443611E+00-0.694156524E+00-0.693904297E+00-0.693686933E+00-0.693504526E+00 --0.693357580E+00-0.693246013E+00-0.693171173E+00-0.693133100E+00-0.693131795E+00 --0.693167627E+00-0.693240581E+00-0.693352406E+00-0.693503111E+00-0.693692582E+00 --0.693920788E+00-0.694187846E+00-0.694495248E+00-0.694843140E+00-0.695232097E+00 --0.695661937E+00-0.696132604E+00-0.696644836E+00-0.697199702E+00-0.697797133E+00 --0.698437128E+00-0.699119723E+00-0.699845643E+00-0.700615740E+00-0.701430072E+00 --0.702288640E+00-0.703191445E+00-0.704138542E+00-0.705131090E+00-0.706169110E+00 --0.707252629E+00-0.708381834E+00-0.709556664E+00-0.710777121E+00-0.712043394E+00 --0.713355780E+00-0.714714190E+00-0.716118624E+00-0.717569257E+00-0.719065740E+00 --0.720607525E+00-0.722194512E+00-0.723826714E+00-0.725504129E+00-0.727226298E+00 --0.728991758E+00-0.730800504E+00-0.732652539E+00-0.734547729E+00-0.736484734E+00 --0.738461359E+00-0.740477208E+00-0.742532282E+00-0.744626500E+00-0.746759294E+00 --0.748927088E+00-0.751125941E+00-0.753356352E+00-0.755618968E+00-0.757913787E+00 --0.760236673E+00-0.762587172E+00-0.764961136E+00-0.767356400E+00-0.769772965E+00 --0.772210323E+00-0.774664676E+00-0.777131098E+00-0.779609661E+00-0.782100335E+00 --0.784599070E+00-0.787102868E+00-0.789609611E+00-0.792117219E+00-0.794625693E+00 --0.797132918E+00-0.799637638E+00-0.802140221E+00-0.804640177E+00-0.807138506E+00 --0.809635393E+00-0.812131204E+00-0.814625805E+00-0.817120150E+00-0.819614249E+00 --0.822108181E+00-0.824602131E+00-0.827096526E+00-0.829591556E+00-0.832087089E+00 --0.834584135E+00-0.837082694E+00-0.839582364E+00-0.842084349E+00-0.844588395E+00 --0.847094602E+00-0.849602970E+00-0.852113554E+00-0.854627332E+00-0.857144509E+00 --0.859665053E+00-0.862189137E+00-0.864716983E+00-0.867248576E+00-0.869783725E+00 --0.872323033E+00-0.874867232E+00-0.877416322E+00-0.879970302E+00-0.882529148E+00 --0.885092939E+00-0.887661850E+00-0.890236810E+00-0.892817608E+00-0.895404160E+00 --0.897996467E+00-0.900594527E+00-0.903199306E+00-0.905810310E+00-0.908428088E+00 --0.911052855E+00-0.913684580E+00-0.916323120E+00-0.918968783E+00-0.921621945E+00 --0.924282518E+00-0.926950731E+00-0.929626583E+00-0.932310401E+00-0.935002093E+00 --0.937702013E+00-0.940410123E+00-0.943126481E+00-0.945851315E+00-0.948584826E+00 --0.951326957E+00-0.954077709E+00-0.956837701E+00-0.959606526E+00-0.962384373E+00 --0.965171286E+00-0.967967425E+00-0.970773124E+00-0.973588351E+00-0.976413057E+00 --0.979247294E+00-0.982091076E+00-0.984944714E+00-0.987808324E+00-0.990681851E+00 --0.993565274E+00-0.996458623E+00-0.999362112E+00-0.100227586E+01-0.100519988E+01 --0.100813409E+01-0.101107860E+01-0.101403343E+01-0.101699860E+01-0.101997407E+01 --0.102295997E+01-0.102595650E+01-0.102896356E+01-0.103198103E+01-0.103500891E+01 --0.103804693E+01-0.104109577E+01-0.104415542E+01-0.104722619E+01-0.105030750E+01 --0.818867094E+00-0.818469265E+00-0.818055994E+00-0.817627280E+00-0.817183125E+00 --0.816723527E+00-0.816248487E+00-0.815758004E+00-0.815252217E+00-0.814731261E+00 --0.814195110E+00-0.813640770E+00-0.813069723E+00-0.812481933E+00-0.811877280E+00 --0.811255252E+00-0.810615898E+00-0.809959305E+00-0.809285129E+00-0.808593097E+00 --0.807883112E+00-0.807154376E+00-0.806407941E+00-0.805642685E+00-0.804858191E+00 --0.804054678E+00-0.803232369E+00-0.802391082E+00-0.801529566E+00-0.800648013E+00 --0.799746285E+00-0.798824347E+00-0.797882183E+00-0.796919074E+00-0.795934746E+00 --0.794929198E+00-0.793902152E+00-0.792854155E+00-0.791785755E+00-0.790696953E+00 --0.789587404E+00-0.788457232E+00-0.787308397E+00-0.786140595E+00-0.784953878E+00 --0.783749559E+00-0.782527845E+00-0.781288875E+00-0.780033107E+00-0.778761406E+00 --0.777475273E+00-0.776174738E+00-0.774859819E+00-0.773531223E+00-0.772191109E+00 --0.770839883E+00-0.769477552E+00-0.768104455E+00-0.766722745E+00-0.765332879E+00 --0.763935175E+00-0.762529621E+00-0.761117454E+00-0.759701693E+00-0.758282376E+00 --0.756859503E+00-0.755433073E+00-0.754003471E+00-0.752574011E+00-0.751145406E+00 --0.749717443E+00-0.748290507E+00-0.746867008E+00-0.745447356E+00-0.744031539E+00 --0.742619506E+00-0.741213024E+00-0.739813739E+00-0.738423276E+00-0.737042624E+00 --0.735671316E+00-0.734308854E+00-0.732955380E+00-0.731614144E+00-0.730284000E+00 --0.728968369E+00-0.727667831E+00-0.726382386E+00-0.725112034E+00-0.723856482E+00 --0.722615503E+00-0.721393030E+00-0.720188150E+00-0.719003224E+00-0.717838252E+00 --0.716693234E+00-0.715568170E+00-0.714462991E+00-0.713378217E+00-0.712316853E+00 --0.711279090E+00-0.710264926E+00-0.709274363E+00-0.708307399E+00-0.707365014E+00 --0.706447996E+00-0.705557304E+00-0.704693028E+00-0.703855199E+00-0.703043926E+00 --0.702260845E+00-0.701506287E+00-0.700780253E+00-0.700082742E+00-0.699414156E+00 --0.698774865E+00-0.698166533E+00-0.697589328E+00-0.697043250E+00-0.696528300E+00 --0.696044442E+00-0.695592100E+00-0.695173073E+00-0.694787183E+00-0.694434385E+00 --0.694114698E+00-0.693829476E+00-0.693578594E+00-0.693362600E+00-0.693181494E+00 --0.693035645E+00-0.692925959E+00-0.692852575E+00-0.692815862E+00-0.692815818E+00 --0.692852594E+00-0.692927527E+00-0.693040876E+00-0.693192635E+00-0.693383130E+00 --0.693612411E+00-0.693881415E+00-0.694190486E+00-0.694539658E+00-0.694929604E+00 --0.695360589E+00-0.695832611E+00-0.696346664E+00-0.696902760E+00-0.697501319E+00 --0.698142413E+00-0.698826125E+00-0.699553620E+00-0.700325267E+00-0.701140962E+00 --0.702000751E+00-0.702904741E+00-0.703853368E+00-0.704847469E+00-0.705887043E+00 --0.706972090E+00-0.708102610E+00-0.709278604E+00-0.710500702E+00-0.711768874E+00 --0.713083029E+00-0.714443158E+00-0.715849260E+00-0.717301343E+00-0.718799507E+00 --0.720343136E+00-0.721932220E+00-0.723566576E+00-0.725246208E+00-0.726970741E+00 --0.728738587E+00-0.730549741E+00-0.732403948E+00-0.734301209E+00-0.736240688E+00 --0.738220135E+00-0.740238689E+00-0.742296346E+00-0.744393105E+00-0.746528000E+00 --0.748698520E+00-0.750901809E+00-0.753137303E+00-0.755405009E+00-0.757702641E+00 --0.760027982E+00-0.762381033E+00-0.764760252E+00-0.767160543E+00-0.769580945E+00 --0.772021384E+00-0.774480117E+00-0.776951187E+00-0.779434128E+00-0.781928938E+00 --0.784435868E+00-0.786945020E+00-0.789455012E+00-0.791965898E+00-0.794477706E+00 --0.796990435E+00-0.799503338E+00-0.802009645E+00-0.804514354E+00-0.807017465E+00 --0.809518978E+00-0.812018695E+00-0.814518007E+00-0.817017000E+00-0.819515673E+00 --0.822014026E+00-0.824512060E+00-0.827010470E+00-0.829509634E+00-0.832009603E+00 --0.834510546E+00-0.837012464E+00-0.839515836E+00-0.842021823E+00-0.844528962E+00 --0.847038699E+00-0.849550962E+00-0.852065342E+00-0.854582677E+00-0.857103411E+00 --0.859627252E+00-0.862154338E+00-0.864685489E+00-0.867220220E+00-0.869758554E+00 --0.872300974E+00-0.874848285E+00-0.877400486E+00-0.879957412E+00-0.882518799E+00 --0.885085474E+00-0.887657676E+00-0.890235161E+00-0.892818349E+00-0.895407291E+00 --0.898001987E+00-0.900602523E+00-0.903209667E+00-0.905823366E+00-0.908443518E+00 --0.911070535E+00-0.913704545E+00-0.916345498E+00-0.918993322E+00-0.921648628E+00 --0.924311367E+00-0.926981637E+00-0.929659502E+00-0.932345017E+00-0.935038606E+00 --0.937740345E+00-0.940450338E+00-0.943168564E+00-0.945894966E+00-0.948630047E+00 --0.951373899E+00-0.954126528E+00-0.956887873E+00-0.959658036E+00-0.962437403E+00 --0.965225859E+00-0.968023381E+00-0.970830623E+00-0.973647024E+00-0.976472865E+00 --0.979308235E+00-0.982153137E+00-0.985007936E+00-0.987872718E+00-0.990747075E+00 --0.993631364E+00-0.996525585E+00-0.999429922E+00-0.100234446E+01-0.100526901E+01 --0.100820374E+01-0.101114879E+01-0.101410414E+01-0.101706988E+01-0.102004583E+01 --0.102303213E+01-0.102602899E+01-0.102903625E+01-0.103205393E+01-0.103508201E+01 --0.103811989E+01-0.104116904E+01-0.104422914E+01-0.104729962E+01-0.105038048E+01 --0.818705162E+00-0.818306166E+00-0.817891727E+00-0.817461847E+00-0.817016524E+00 --0.816555758E+00-0.816079551E+00-0.815587901E+00-0.815080809E+00-0.814558275E+00 --0.814020287E+00-0.813464921E+00-0.812892298E+00-0.812302897E+00-0.811696479E+00 --0.811072987E+00-0.810432238E+00-0.809774231E+00-0.809098401E+00-0.808404652E+00 --0.807692995E+00-0.806962946E+00-0.806214476E+00-0.805447665E+00-0.804661631E+00 --0.803856359E+00-0.803031850E+00-0.802188057E+00-0.801324620E+00-0.800440851E+00 --0.799536877E+00-0.798612698E+00-0.797668314E+00-0.796702568E+00-0.795715525E+00 --0.794706973E+00-0.793677436E+00-0.792627029E+00-0.791556081E+00-0.790464335E+00 --0.789351808E+00-0.788219575E+00-0.787068336E+00-0.785898131E+00-0.784708609E+00 --0.783500880E+00-0.782276591E+00-0.781035572E+00-0.779777785E+00-0.778503663E+00 --0.777215072E+00-0.775912128E+00-0.774595155E+00-0.773264671E+00-0.771922650E+00 --0.770569342E+00-0.769204930E+00-0.767830028E+00-0.766446720E+00-0.765055180E+00 --0.763655406E+00-0.762247125E+00-0.760834060E+00-0.759417194E+00-0.757996518E+00 --0.756572033E+00-0.755143787E+00-0.753714162E+00-0.752283645E+00-0.750853878E+00 --0.749424752E+00-0.747996780E+00-0.746572429E+00-0.745151950E+00-0.743735507E+00 --0.742323129E+00-0.740916597E+00-0.739518042E+00-0.738127306E+00-0.736745321E+00 --0.735373134E+00-0.734010747E+00-0.732658158E+00-0.731315143E+00-0.729985412E+00 --0.728670598E+00-0.727370360E+00-0.726084698E+00-0.724813611E+00-0.723557782E+00 --0.722319229E+00-0.721097858E+00-0.719893751E+00-0.718708807E+00-0.717543818E+00 --0.716398783E+00-0.715273735E+00-0.714169938E+00-0.713087224E+00-0.712026275E+00 --0.710989034E+00-0.709975596E+00-0.708985960E+00-0.708020127E+00-0.707078637E+00 --0.706162295E+00-0.705272625E+00-0.704409635E+00-0.703573132E+00-0.702763116E+00 --0.701980847E+00-0.701227164E+00-0.700502104E+00-0.699805903E+00-0.699138569E+00 --0.698500355E+00-0.697893163E+00-0.697317098E+00-0.696772116E+00-0.696257944E+00 --0.695774838E+00-0.695324599E+00-0.694906905E+00-0.694522022E+00-0.694170231E+00 --0.693851642E+00-0.693567425E+00-0.693317861E+00-0.693102972E+00-0.692922815E+00 --0.692778119E+00-0.692669692E+00-0.692597532E+00-0.692561823E+00-0.692562892E+00 --0.692600757E+00-0.692676807E+00-0.692791331E+00-0.692944328E+00-0.693135728E+00 --0.693365701E+00-0.693636006E+00-0.693946461E+00-0.694296983E+00-0.694687572E+00 --0.695119564E+00-0.695592757E+00-0.696107885E+00-0.696664998E+00-0.697264570E+00 --0.697906728E+00-0.698591445E+00-0.699319924E+00-0.700092556E+00-0.700909340E+00 --0.701770300E+00-0.702675473E+00-0.703625463E+00-0.704620793E+00-0.705661464E+00 --0.706747476E+00-0.707878827E+00-0.709056361E+00-0.710279663E+00-0.711549075E+00 --0.712864636E+00-0.714226188E+00-0.715633713E+00-0.717087450E+00-0.718586860E+00 --0.720131736E+00-0.721722138E+00-0.723358195E+00-0.725039839E+00-0.726766652E+00 --0.728536354E+00-0.730349093E+00-0.732204886E+00-0.734103732E+00-0.736044992E+00 --0.738026288E+00-0.740047570E+00-0.742108461E+00-0.744208465E+00-0.746344491E+00 --0.748515191E+00-0.750720565E+00-0.752961032E+00-0.755233404E+00-0.757533460E+00 --0.759861192E+00-0.762216602E+00-0.764599135E+00-0.767002540E+00-0.769426027E+00 --0.771869551E+00-0.774332359E+00-0.776808200E+00-0.779296523E+00-0.781793982E+00 --0.784300455E+00-0.786814225E+00-0.789329154E+00-0.791845005E+00-0.794361778E+00 --0.796878888E+00-0.799393120E+00-0.801904186E+00-0.804412758E+00-0.806919731E+00 --0.809425195E+00-0.811929417E+00-0.814432166E+00-0.816934522E+00-0.819436558E+00 --0.821938419E+00-0.824439845E+00-0.826941267E+00-0.829443815E+00-0.831947130E+00 --0.834451374E+00-0.836956592E+00-0.839463210E+00-0.841971476E+00-0.844481470E+00 --0.846993958E+00-0.849509109E+00-0.852026998E+00-0.854547377E+00-0.857070634E+00 --0.859596768E+00-0.862126113E+00-0.864659443E+00-0.867196783E+00-0.869738149E+00 --0.872283695E+00-0.874833584E+00-0.877388017E+00-0.879947005E+00-0.882510526E+00 --0.885079234E+00-0.887653424E+00-0.890233095E+00-0.892818249E+00-0.895409566E+00 --0.898006652E+00-0.900609390E+00-0.903218527E+00-0.905834194E+00-0.908456162E+00 --0.911085038E+00-0.913720849E+00-0.916363516E+00-0.919013038E+00-0.921669734E+00 --0.924334074E+00-0.927006059E+00-0.929685733E+00-0.932373086E+00-0.935068433E+00 --0.937771595E+00-0.940482954E+00-0.943202509E+00-0.945930337E+00-0.948666930E+00 --0.951412107E+00-0.954165922E+00-0.956928386E+00-0.959699646E+00-0.962480095E+00 --0.965269752E+00-0.968068621E+00-0.970876596E+00-0.973693873E+00-0.976520738E+00 --0.979357191E+00-0.982203232E+00-0.985058822E+00-0.987924173E+00-0.990799400E+00 --0.993684509E+00-0.996579500E+00-0.999484613E+00-0.100239969E+01-0.100532482E+01 --0.100826003E+01-0.101120552E+01-0.101416130E+01-0.101712737E+01-0.102010365E+01 --0.102309030E+01-0.102608736E+01-0.102909483E+01-0.103211270E+01-0.103514095E+01 --0.103818010E+01-0.104122951E+01-0.104428916E+01-0.104735919E+01-0.105043959E+01 --0.818584751E+00-0.818184588E+00-0.817768982E+00-0.817337934E+00-0.816891444E+00 --0.816429512E+00-0.815952128E+00-0.815459374E+00-0.814951355E+00-0.814428073E+00 --0.813889526E+00-0.813333305E+00-0.812759718E+00-0.812169171E+00-0.811561784E+00 --0.810937369E+00-0.810295347E+00-0.809635916E+00-0.808958797E+00-0.808263849E+00 --0.807550906E+00-0.806819542E+00-0.806069759E+00-0.805301452E+00-0.804513878E+00 --0.803707097E+00-0.802881063E+00-0.802035618E+00-0.801170794E+00-0.800286022E+00 --0.799380608E+00-0.798454554E+00-0.797507859E+00-0.796540155E+00-0.795550929E+00 --0.794540750E+00-0.793509617E+00-0.792457530E+00-0.791384489E+00-0.790290382E+00 --0.789175749E+00-0.788041877E+00-0.786888756E+00-0.785716385E+00-0.784524654E+00 --0.783315097E+00-0.782088844E+00-0.780845895E+00-0.779586249E+00-0.778309899E+00 --0.777019618E+00-0.775715335E+00-0.774397048E+00-0.773065115E+00-0.771721551E+00 --0.770366671E+00-0.769000475E+00-0.767623984E+00-0.766239270E+00-0.764846326E+00 --0.763445154E+00-0.762037055E+00-0.760623191E+00-0.759204469E+00-0.757781937E+00 --0.756355567E+00-0.754927121E+00-0.753497606E+00-0.752067022E+00-0.750635706E+00 --0.749205418E+00-0.747776384E+00-0.746351419E+00-0.744930566E+00-0.743513778E+00 --0.742101054E+00-0.740694499E+00-0.739295923E+00-0.737905325E+00-0.736522707E+00 --0.735149199E+00-0.733785490E+00-0.732432322E+00-0.731091774E+00-0.729763966E+00 --0.728448899E+00-0.727147631E+00-0.725861127E+00-0.724589325E+00-0.723334565E+00 --0.722096988E+00-0.720876592E+00-0.719673377E+00-0.718488138E+00-0.717323131E+00 --0.716178052E+00-0.715054028E+00-0.713951089E+00-0.712869234E+00-0.711808804E+00 --0.710771923E+00-0.709758846E+00-0.708769740E+00-0.707804941E+00-0.706864459E+00 --0.705948653E+00-0.705059397E+00-0.704196935E+00-0.703361269E+00-0.702552397E+00 --0.701770783E+00-0.701017666E+00-0.700293509E+00-0.699598307E+00-0.698931967E+00 --0.698294984E+00-0.697688858E+00-0.697113513E+00-0.696568948E+00-0.696055184E+00 --0.695573326E+00-0.695124016E+00-0.694707255E+00-0.694323041E+00-0.693971995E+00 --0.693654376E+00-0.693371120E+00-0.693122515E+00-0.692908506E+00-0.692728985E+00 --0.692585179E+00-0.692477715E+00-0.692406595E+00-0.692371817E+00-0.692373382E+00 --0.692411926E+00-0.692488861E+00-0.692604284E+00-0.692758197E+00-0.692950598E+00 --0.693181514E+00-0.693452243E+00-0.693763267E+00-0.694114587E+00-0.694506388E+00 --0.694938839E+00-0.695412604E+00-0.695928692E+00-0.696486816E+00-0.697086924E+00 --0.697730068E+00-0.698415682E+00-0.699145146E+00-0.699918479E+00-0.700735970E+00 --0.701597818E+00-0.702504025E+00-0.703454590E+00-0.704450672E+00-0.705492107E+00 --0.706578966E+00-0.707711600E+00-0.708889871E+00-0.710113894E+00-0.711384095E+00 --0.712700458E+00-0.714062981E+00-0.715472001E+00-0.716927170E+00-0.718427805E+00 --0.719973908E+00-0.721565479E+00-0.723202519E+00-0.724885113E+00-0.726612595E+00 --0.728383397E+00-0.730197521E+00-0.732054895E+00-0.733955326E+00-0.735898395E+00 --0.737881618E+00-0.739904654E+00-0.741967467E+00-0.744068862E+00-0.746206221E+00 --0.748379025E+00-0.750587273E+00-0.752830503E+00-0.755103464E+00-0.757405361E+00 --0.759735297E+00-0.762092889E+00-0.764477664E+00-0.766883940E+00-0.769310104E+00 --0.771756175E+00-0.774222912E+00-0.776704508E+00-0.779193595E+00-0.781691696E+00 --0.784198813E+00-0.786714944E+00-0.789234903E+00-0.791755719E+00-0.794276746E+00 --0.796794910E+00-0.799311044E+00-0.801825161E+00-0.804337477E+00-0.806846926E+00 --0.809355133E+00-0.811862100E+00-0.814367825E+00-0.816873100E+00-0.819377887E+00 --0.821882130E+00-0.824385828E+00-0.826889548E+00-0.829394139E+00-0.831899584E+00 --0.834406637E+00-0.836914560E+00-0.839423468E+00-0.841934013E+00-0.844446193E+00 --0.846961434E+00-0.849478428E+00-0.851998016E+00-0.854520305E+00-0.857045762E+00 --0.859574202E+00-0.862105564E+00-0.864640921E+00-0.867180288E+00-0.869723254E+00 --0.872270475E+00-0.874822324E+00-0.877378452E+00-0.879939156E+00-0.882504343E+00 --0.885074628E+00-0.887650520E+00-0.890232018E+00-0.892819122E+00-0.895411833E+00 --0.898010260E+00-0.900614793E+00-0.903225566E+00-0.905842577E+00-0.908465839E+00 --0.911095881E+00-0.913732915E+00-0.916376943E+00-0.919028042E+00-0.921686153E+00 --0.924351870E+00-0.927025047E+00-0.929705715E+00-0.932394375E+00-0.935090795E+00 --0.937795096E+00-0.940507583E+00-0.943228258E+00-0.945957374E+00-0.948694844E+00 --0.951440896E+00-0.954195719E+00-0.956959235E+00-0.959731510E+00-0.962513005E+00 --0.965303557E+00-0.968103160E+00-0.970911808E+00-0.973729790E+00-0.976557360E+00 --0.979394518E+00-0.982241319E+00-0.985097684E+00-0.987963604E+00-0.990839337E+00 --0.993724952E+00-0.996620476E+00-0.999526034E+00-0.100244164E+01-0.100536732E+01 --0.100830301E+01-0.101124894E+01-0.101420509E+01-0.101717142E+01-0.102014794E+01 --0.102313480E+01-0.102613206E+01-0.102913974E+01-0.103215771E+01-0.103518602E+01 --0.103822487E+01-0.104127404E+01-0.104433384E+01-0.104740394E+01-0.105048431E+01 --0.818505863E+00-0.818104532E+00-0.817687759E+00-0.817255561E+00-0.816808086E+00 --0.816345347E+00-0.815867343E+00-0.815374076E+00-0.814865544E+00-0.814341748E+00 --0.813802687E+00-0.813245613E+00-0.812671230E+00-0.812080237E+00-0.811472408E+00 --0.810847312E+00-0.810204609E+00-0.809544300E+00-0.808866306E+00-0.808170647E+00 --0.807456730E+00-0.806724394E+00-0.805973638E+00-0.805204462E+00-0.804416093E+00 --0.803608524E+00-0.802781431E+00-0.801934926E+00-0.801069010E+00-0.800183195E+00 --0.799276665E+00-0.798349494E+00-0.797401499E+00-0.796432374E+00-0.795442125E+00 --0.794430778E+00-0.793398335E+00-0.792344797E+00-0.791270163E+00-0.790174487E+00 --0.789058273E+00-0.787923009E+00-0.786768577E+00-0.785594976E+00-0.784402200E+00 --0.783191846E+00-0.781964325E+00-0.780720025E+00-0.779459020E+00-0.778182062E+00 --0.776890868E+00-0.775585417E+00-0.774265817E+00-0.772932456E+00-0.771587336E+00 --0.770230876E+00-0.768864311E+00-0.767487939E+00-0.766101968E+00-0.764707659E+00 --0.763305365E+00-0.761897052E+00-0.760483139E+00-0.759063626E+00-0.757638528E+00 --0.756211261E+00-0.754782926E+00-0.753353521E+00-0.751923047E+00-0.750491505E+00 --0.749059273E+00-0.747629945E+00-0.746204682E+00-0.744783484E+00-0.743366351E+00 --0.741953305E+00-0.740546730E+00-0.739148133E+00-0.737757506E+00-0.736374700E+00 --0.735000137E+00-0.733635529E+00-0.732283067E+00-0.730943189E+00-0.729615897E+00 --0.728301189E+00-0.726999198E+00-0.725712512E+00-0.724440777E+00-0.723186255E+00 --0.721948945E+00-0.720728847E+00-0.719525961E+00-0.718341198E+00-0.717175941E+00 --0.716031106E+00-0.714907501E+00-0.713805127E+00-0.712723985E+00-0.711664131E+00 --0.710627028E+00-0.709614280E+00-0.708625848E+00-0.707661732E+00-0.706721932E+00 --0.705806606E+00-0.704917785E+00-0.704055759E+00-0.703220626E+00-0.702412435E+00 --0.701631218E+00-0.700878384E+00-0.700154509E+00-0.699459572E+00-0.698793999E+00 --0.698158366E+00-0.697552738E+00-0.696977780E+00-0.696433522E+00-0.695920045E+00 --0.695439117E+00-0.694990737E+00-0.694574900E+00-0.694191241E+00-0.693840123E+00 --0.693522959E+00-0.693240134E+00-0.692992271E+00-0.692779121E+00-0.692600625E+00 --0.692457062E+00-0.692349821E+00-0.692278923E+00-0.692244655E+00-0.692247274E+00 --0.692286761E+00-0.692363748E+00-0.692479478E+00-0.692633950E+00-0.692827164E+00 --0.693059120E+00-0.693329810E+00-0.693641261E+00-0.693993227E+00-0.694385727E+00 --0.694818760E+00-0.695292870E+00-0.695809276E+00-0.696368019E+00-0.696969102E+00 --0.697612444E+00-0.698298101E+00-0.699027793E+00-0.699801843E+00-0.700620251E+00 --0.701483018E+00-0.702390142E+00-0.703341625E+00-0.704337466E+00-0.705378947E+00 --0.706466635E+00-0.707599959E+00-0.708778921E+00-0.710003618E+00-0.711274608E+00 --0.712591736E+00-0.713954942E+00-0.715364225E+00-0.716819748E+00-0.718321026E+00 --0.719867937E+00-0.721460492E+00-0.723098514E+00-0.724782056E+00-0.726510206E+00 --0.728281677E+00-0.730096470E+00-0.731954583E+00-0.733856018E+00-0.735800897E+00 --0.737786185E+00-0.739811146E+00-0.741873820E+00-0.743974209E+00-0.746112313E+00 --0.748288131E+00-0.750499844E+00-0.752743941E+00-0.755016974E+00-0.757318943E+00 --0.759649848E+00-0.762009689E+00-0.764397129E+00-0.766806314E+00-0.769235660E+00 --0.771682844E+00-0.774147546E+00-0.776630119E+00-0.779122944E+00-0.781623241E+00 --0.784131010E+00-0.786646570E+00-0.789172258E+00-0.791697198E+00-0.794219295E+00 --0.796739308E+00-0.799257078E+00-0.801772914E+00-0.804287376E+00-0.806799101E+00 --0.809309123E+00-0.811817441E+00-0.814324220E+00-0.816830774E+00-0.819337222E+00 --0.821843564E+00-0.824349535E+00-0.826855313E+00-0.829361964E+00-0.831869231E+00 --0.834377018E+00-0.836885962E+00-0.839396649E+00-0.841909077E+00-0.844423304E+00 --0.846939328E+00-0.849457698E+00-0.851978900E+00-0.854502912E+00-0.857029549E+00 --0.859559314E+00-0.862092743E+00-0.864629635E+00-0.867169979E+00-0.869713773E+00 --0.872261680E+00-0.874814339E+00-0.877371746E+00-0.879933900E+00-0.882500640E+00 --0.885072168E+00-0.887649261E+00-0.890231982E+00-0.892820262E+00-0.895414053E+00 --0.898013356E+00-0.900618465E+00-0.903230061E+00-0.905848145E+00-0.908472675E+00 --0.911103953E+00-0.913742066E+00-0.916386998E+00-0.919038751E+00-0.921697684E+00 --0.924364109E+00-0.927038030E+00-0.929719672E+00-0.932409099E+00-0.935106311E+00 --0.937811411E+00-0.940524696E+00-0.943246193E+00-0.945976018E+00-0.948714184E+00 --0.951460814E+00-0.954216209E+00-0.956980376E+00-0.959753356E+00-0.962535409E+00 --0.965326549E+00-0.968126795E+00-0.970936091E+00-0.973754777E+00-0.976582945E+00 --0.979420597E+00-0.982267787E+00-0.985124513E+00-0.987990778E+00-0.990867009E+00 --0.993753085E+00-0.996648932E+00-0.999554825E+00-0.100247076E+01-0.100539670E+01 --0.100833269E+01-0.101127891E+01-0.101423532E+01-0.101720191E+01-0.102017867E+01 --0.102316574E+01-0.102616319E+01-0.102917096E+01-0.103218905E+01-0.103521747E+01 --0.103825637E+01-0.104130559E+01-0.104436514E+01-0.104743505E+01-0.105051540E+01 --0.818468619E+00-0.818066423E+00-0.817648964E+00-0.817216240E+00-0.816768252E+00 --0.816304999E+00-0.815826482E+00-0.815332701E+00-0.814823656E+00-0.814299346E+00 --0.813759772E+00-0.813202225E+00-0.812627888E+00-0.812036618E+00-0.811428346E+00 --0.810802609E+00-0.810159565E+00-0.809499192E+00-0.808820978E+00-0.808124679E+00 --0.807410498E+00-0.806677897E+00-0.805926876E+00-0.805157049E+00-0.804368104E+00 --0.803560521E+00-0.802733159E+00-0.801885962E+00-0.801019005E+00-0.800132548E+00 --0.799224999E+00-0.798297600E+00-0.797349076E+00-0.796379428E+00-0.795388655E+00 --0.794376757E+00-0.793343369E+00-0.792288705E+00-0.791213208E+00-0.790117249E+00 --0.789001037E+00-0.787865249E+00-0.786709926E+00-0.785535291E+00-0.784341910E+00 --0.783131316E+00-0.781903515E+00-0.780658508E+00-0.779396193E+00-0.778118748E+00 --0.776827068E+00-0.775521151E+00-0.774200999E+00-0.772866212E+00-0.771519592E+00 --0.770163165E+00-0.768796931E+00-0.767420890E+00-0.766035042E+00-0.764639387E+00 --0.763236405E+00-0.761827736E+00-0.760413300E+00-0.758993071E+00-0.757568714E+00 --0.756140998E+00-0.754712048E+00-0.753282019E+00-0.751850910E+00-0.750418721E+00 --0.748987634E+00-0.747558211E+00-0.746132383E+00-0.744710653E+00-0.743293021E+00 --0.741880270E+00-0.740473520E+00-0.739074585E+00-0.737683510E+00-0.736300505E+00 --0.734926534E+00-0.733562637E+00-0.732210219E+00-0.730869725E+00-0.729541816E+00 --0.728226526E+00-0.726925464E+00-0.725639334E+00-0.724368139E+00-0.723113204E+00 --0.721875482E+00-0.720654972E+00-0.719452050E+00-0.718268294E+00-0.717103782E+00 --0.715958819E+00-0.714834893E+00-0.713732197E+00-0.712651092E+00-0.711592278E+00 --0.710555689E+00-0.709542654E+00-0.708554149E+00-0.707590174E+00-0.706650729E+00 --0.705736163E+00-0.704847237E+00-0.703985491E+00-0.703150702E+00-0.702342855E+00 --0.701561950E+00-0.700809376E+00-0.700085390E+00-0.699390553E+00-0.698725657E+00 --0.698090700E+00-0.697485677E+00-0.696910291E+00-0.696365662E+00-0.695853049E+00 --0.695372595E+00-0.694924348E+00-0.694508306E+00-0.694124866E+00-0.693774867E+00 --0.693458167E+00-0.693175245E+00-0.692927288E+00-0.692714296E+00-0.692536270E+00 --0.692393308E+00-0.692286131E+00-0.692215142E+00-0.692181268E+00-0.692184449E+00 --0.692224517E+00-0.692301770E+00-0.692417645E+00-0.692572250E+00-0.692765601E+00 --0.692997706E+00-0.693268813E+00-0.693580365E+00-0.693932570E+00-0.694325428E+00 --0.694758939E+00-0.695233340E+00-0.695750040E+00-0.696308985E+00-0.696910162E+00 --0.697553585E+00-0.698240201E+00-0.698970474E+00-0.699744452E+00-0.700562774E+00 --0.701425442E+00-0.702332455E+00-0.703284086E+00-0.704280868E+00-0.705322714E+00 --0.706410377E+00-0.707543865E+00-0.708723179E+00-0.709948675E+00-0.711219999E+00 --0.712537351E+00-0.713900850E+00-0.715310457E+00-0.716766141E+00-0.718267855E+00 --0.719815191E+00-0.721408121E+00-0.723046609E+00-0.724730650E+00-0.726459446E+00 --0.728231537E+00-0.730046932E+00-0.731905631E+00-0.733807634E+00-0.735752658E+00 --0.737738769E+00-0.739764007E+00-0.741827105E+00-0.743928063E+00-0.746066881E+00 --0.748243415E+00-0.750454299E+00-0.752698860E+00-0.754973386E+00-0.757276628E+00 --0.759608588E+00-0.761969263E+00-0.764356967E+00-0.766768839E+00-0.769198748E+00 --0.771645327E+00-0.774109398E+00-0.776590988E+00-0.779087042E+00-0.781590809E+00 --0.784102049E+00-0.786619531E+00-0.789140148E+00-0.791663824E+00-0.794188519E+00 --0.796710557E+00-0.799230661E+00-0.801747905E+00-0.804262541E+00-0.806775341E+00 --0.809286297E+00-0.811795549E+00-0.814303226E+00-0.816810597E+00-0.819317862E+00 --0.821824928E+00-0.824331570E+00-0.826838543E+00-0.829346117E+00-0.831854166E+00 --0.834362739E+00-0.836872601E+00-0.839384203E+00-0.841897420E+00-0.844412301E+00 --0.846928775E+00-0.849447777E+00-0.851969611E+00-0.854494411E+00-0.857021846E+00 --0.859551965E+00-0.862085917E+00-0.864623667E+00-0.867164839E+00-0.869709462E+00 --0.872258024E+00-0.874811333E+00-0.877369391E+00-0.879932197E+00-0.882499499E+00 --0.885072161E+00-0.887649242E+00-0.890232536E+00-0.892821352E+00-0.895415680E+00 --0.898015520E+00-0.900620913E+00-0.903233129E+00-0.905851799E+00-0.908476795E+00 --0.911108576E+00-0.913747167E+00-0.916392659E+00-0.919044980E+00-0.921704653E+00 --0.924371466E+00-0.927045753E+00-0.929727825E+00-0.932417683E+00-0.935115326E+00 --0.937820754E+00-0.940534146E+00-0.943256051E+00-0.945986297E+00-0.948724883E+00 --0.951471834E+00-0.954227798E+00-0.956992156E+00-0.959765492E+00-0.962547916E+00 --0.965339425E+00-0.968139900E+00-0.970949431E+00-0.973768404E+00-0.976596714E+00 --0.979434661E+00-0.982282213E+00-0.985139303E+00-0.988005930E+00-0.990882415E+00 --0.993768619E+00-0.996664844E+00-0.999571017E+00-0.100248711E+01-0.100541313E+01 --0.100834923E+01-0.101129555E+01-0.101425209E+01-0.101721886E+01-0.102019590E+01 --0.102318312E+01-0.102618068E+01-0.102918857E+01-0.103220678E+01-0.103523532E+01 --0.103827427E+01-0.104132354E+01-0.104438314E+01-0.104745306E+01-0.105053331E+01 --0.818470794E+00-0.818068580E+00-0.817651102E+00-0.817218359E+00-0.816770352E+00 --0.816307081E+00-0.815828546E+00-0.815334746E+00-0.814825683E+00-0.814301354E+00 --0.813761762E+00-0.813204210E+00-0.812629868E+00-0.812038593E+00-0.811430232E+00 --0.810804465E+00-0.810161410E+00-0.809501022E+00-0.808822905E+00-0.808126791E+00 --0.807412515E+00-0.806679650E+00-0.805928580E+00-0.805158819E+00-0.804369990E+00 --0.803562113E+00-0.802734721E+00-0.801887648E+00-0.801020907E+00-0.800134303E+00 --0.799226832E+00-0.798299419E+00-0.797350883E+00-0.796381225E+00-0.795390444E+00 --0.794378542E+00-0.793344980E+00-0.792290186E+00-0.791214879E+00-0.790119108E+00 --0.789002967E+00-0.787867155E+00-0.786711782E+00-0.785536998E+00-0.784343750E+00 --0.783133153E+00-0.781905310E+00-0.780660220E+00-0.779398020E+00-0.778120380E+00 --0.776828448E+00-0.775522323E+00-0.774202005E+00-0.772866895E+00-0.771521118E+00 --0.770165196E+00-0.768799129E+00-0.767423246E+00-0.766037558E+00-0.764642063E+00 --0.763238073E+00-0.761828686E+00-0.760413400E+00-0.758993922E+00-0.757570722E+00 --0.756143800E+00-0.754714141E+00-0.753283395E+00-0.751851568E+00-0.750419653E+00 --0.748989324E+00-0.747560499E+00-0.746134115E+00-0.744711804E+00-0.743294329E+00 --0.741881968E+00-0.740475088E+00-0.739075746E+00-0.737684338E+00-0.736301675E+00 --0.734927930E+00-0.733564037E+00-0.732211779E+00-0.730871193E+00-0.729542586E+00 --0.728227077E+00-0.726926501E+00-0.725640857E+00-0.724370146E+00-0.723114693E+00 --0.721876559E+00-0.720655499E+00-0.719452897E+00-0.718269538E+00-0.717105423E+00 --0.715960551E+00-0.714835784E+00-0.713732702E+00-0.712651884E+00-0.711593329E+00 --0.710557038E+00-0.709543788E+00-0.708555113E+00-0.707591137E+00-0.706651874E+00 --0.705737267E+00-0.704848126E+00-0.703986101E+00-0.703151240E+00-0.702343544E+00 --0.701563010E+00-0.700809637E+00-0.700085727E+00-0.699391478E+00-0.698726891E+00 --0.698091966E+00-0.697486702E+00-0.696911100E+00-0.696366214E+00-0.695853624E+00 --0.695373138E+00-0.694924759E+00-0.694508509E+00-0.694125244E+00-0.693775456E+00 --0.693458978E+00-0.693176094E+00-0.692928039E+00-0.692715035E+00-0.692537105E+00 --0.692394140E+00-0.692286631E+00-0.692215972E+00-0.692182005E+00-0.692184967E+00 --0.692225012E+00-0.692302273E+00-0.692418050E+00-0.692572633E+00-0.692765978E+00 --0.692998078E+00-0.693269236E+00-0.693580941E+00-0.693933314E+00-0.694326133E+00 --0.694759356E+00-0.695233751E+00-0.695750424E+00-0.696309295E+00-0.696910434E+00 --0.697553826E+00-0.698240528E+00-0.698970990E+00-0.699745214E+00-0.700563334E+00 --0.701425871E+00-0.702333051E+00-0.703284936E+00-0.704281526E+00-0.705323278E+00 --0.706410864E+00-0.707544275E+00-0.708723674E+00-0.709948897E+00-0.711220273E+00 --0.712537665E+00-0.713901172E+00-0.715310817E+00-0.716766831E+00-0.718268691E+00 --0.719816016E+00-0.721408769E+00-0.723046950E+00-0.724730727E+00-0.726459184E+00 --0.728231714E+00-0.730047590E+00-0.731906769E+00-0.733809351E+00-0.735753492E+00 --0.737737947E+00-0.739762808E+00-0.741826999E+00-0.743929049E+00-0.746068959E+00 --0.748244842E+00-0.750454198E+00-0.752697023E+00-0.754972790E+00-0.757277939E+00 --0.759611632E+00-0.761971387E+00-0.764356619E+00-0.766767254E+00-0.769197895E+00 --0.771645237E+00-0.774109279E+00-0.776590021E+00-0.779087331E+00-0.781596284E+00 --0.784108003E+00-0.786622473E+00-0.789139726E+00-0.791660037E+00-0.794183407E+00 --0.796709837E+00-0.799233534E+00-0.801749165E+00-0.804263072E+00-0.806775254E+00 --0.809286373E+00-0.811796473E+00-0.814304767E+00-0.816812543E+00-0.819319614E+00 --0.821826236E+00-0.824332444E+00-0.826839083E+00-0.829346422E+00-0.831854459E+00 --0.834363465E+00-0.836873555E+00-0.839385154E+00-0.841898422E+00-0.844413359E+00 --0.846930229E+00-0.849449792E+00-0.851971778E+00-0.854496189E+00-0.857023023E+00 --0.859552676E+00-0.862086208E+00-0.864623659E+00-0.867165031E+00-0.869710295E+00 --0.872259558E+00-0.874813290E+00-0.877371408E+00-0.879933914E+00-0.882500806E+00 --0.885073361E+00-0.887651231E+00-0.890233732E+00-0.892822149E+00-0.895416483E+00 --0.898016734E+00-0.900622706E+00-0.903234839E+00-0.905853162E+00-0.908478269E+00 --0.911110160E+00-0.913748836E+00-0.916394296E+00-0.919046544E+00-0.921706017E+00 --0.924373056E+00-0.927047661E+00-0.929729832E+00-0.932419570E+00-0.935116938E+00 --0.937822590E+00-0.940536082E+00-0.943257890E+00-0.945988176E+00-0.948726940E+00 --0.951474206E+00-0.954230011E+00-0.956994597E+00-0.959768088E+00-0.962550536E+00 --0.965341944E+00-0.968142309E+00-0.970951999E+00-0.973771072E+00-0.976599500E+00 --0.979437399E+00-0.982284924E+00-0.985142074E+00-0.988008910E+00-0.990885384E+00 --0.993771678E+00-0.996667998E+00-0.999574250E+00-0.100249042E+01-0.100541652E+01 --0.100835272E+01-0.101129915E+01-0.101425581E+01-0.101722266E+01-0.102019969E+01 --0.102318696E+01-0.102618457E+01-0.102919253E+01-0.103221083E+01-0.103523951E+01 --0.103827856E+01-0.104132789E+01-0.104438752E+01-0.104745750E+01-0.105053780E+01 --0.818512854E+00-0.818111235E+00-0.817694191E+00-0.817261900E+00-0.816814370E+00 --0.816351575E+00-0.815873516E+00-0.815380193E+00-0.814871606E+00-0.814347754E+00 --0.813808638E+00-0.813251528E+00-0.812677125E+00-0.812086117E+00-0.811478184E+00 --0.810852947E+00-0.810210185E+00-0.809549976E+00-0.808872088E+00-0.808176203E+00 --0.807462322E+00-0.806730015E+00-0.805979330E+00-0.805209680E+00-0.804421179E+00 --0.803613827E+00-0.802787194E+00-0.801940779E+00-0.801074696E+00-0.800188582E+00 --0.799281998E+00-0.798354943E+00-0.797406994E+00-0.796437849E+00-0.795447570E+00 --0.794435990E+00-0.793403438E+00-0.792349914E+00-0.791275418E+00-0.790179964E+00 --0.789063925E+00-0.787928158E+00-0.786773564E+00-0.785600296E+00-0.784408353E+00 --0.783197956E+00-0.781970254E+00-0.780725305E+00-0.779464195E+00-0.778188028E+00 --0.776896794E+00-0.775590617E+00-0.774269579E+00-0.772935059E+00-0.771590394E+00 --0.770235584E+00-0.768870629E+00-0.767495530E+00-0.766110286E+00-0.764714898E+00 --0.763309915E+00-0.761899570E+00-0.760484971E+00-0.759066651E+00-0.757644608E+00 --0.756218843E+00-0.754789355E+00-0.753357656E+00-0.751925366E+00-0.750494188E+00 --0.749064514E+00-0.747636298E+00-0.746209643E+00-0.744787303E+00-0.743370203E+00 --0.741958217E+00-0.740551407E+00-0.739151639E+00-0.737760282E+00-0.736377845E+00 --0.735004328E+00-0.733640453E+00-0.732288173E+00-0.730947551E+00-0.729618529E+00 --0.728302836E+00-0.727002271E+00-0.725716837E+00-0.724446532E+00-0.723191357E+00 --0.721951841E+00-0.720730638E+00-0.719528350E+00-0.718344978E+00-0.717180522E+00 --0.716035077E+00-0.714910716E+00-0.713807101E+00-0.712725748E+00-0.711666894E+00 --0.710630537E+00-0.709617305E+00-0.708628517E+00-0.707664307E+00-0.706724756E+00 --0.705809860E+00-0.704920437E+00-0.704058178E+00-0.703223079E+00-0.702415052E+00 --0.701634069E+00-0.700880246E+00-0.700155982E+00-0.699461423E+00-0.698796569E+00 --0.698161418E+00-0.697555938E+00-0.696980119E+00-0.696434895E+00-0.695922187E+00 --0.695441564E+00-0.694992881E+00-0.694576137E+00-0.694192190E+00-0.693841910E+00 --0.693525297E+00-0.693242513E+00-0.692994297E+00-0.692780972E+00-0.692602611E+00 --0.692459215E+00-0.692351261E+00-0.692280137E+00-0.692245929E+00-0.692248654E+00 --0.692288484E+00-0.692365480E+00-0.692480951E+00-0.692635229E+00-0.692828342E+00 --0.693060130E+00-0.693331312E+00-0.693642905E+00-0.693994834E+00-0.694387168E+00 --0.694819921E+00-0.695294238E+00-0.695810728E+00-0.696369389E+00-0.696970141E+00 --0.697613431E+00-0.698300051E+00-0.699030314E+00-0.699804220E+00-0.700621769E+00 --0.701483854E+00-0.702390801E+00-0.703342494E+00-0.704338892E+00-0.705380561E+00 --0.706468070E+00-0.707601216E+00-0.708780026E+00-0.710004712E+00-0.711275685E+00 --0.712592974E+00-0.713956612E+00-0.715366073E+00-0.716821359E+00-0.718322469E+00 --0.719869424E+00-0.721461902E+00-0.723099808E+00-0.724782889E+00-0.726510304E+00 --0.728282045E+00-0.730098159E+00-0.731957984E+00-0.733860456E+00-0.735803244E+00 --0.737786346E+00-0.739809762E+00-0.741873494E+00-0.743976626E+00-0.746117255E+00 --0.748291614E+00-0.750499442E+00-0.752740739E+00-0.755015731E+00-0.757322485E+00 --0.759655165E+00-0.762013244E+00-0.764396799E+00-0.766805831E+00-0.769237228E+00 --0.771685306E+00-0.774149050E+00-0.776628025E+00-0.779122560E+00-0.781630978E+00 --0.784142162E+00-0.786656113E+00-0.789172831E+00-0.791692316E+00-0.794213788E+00 --0.796736128E+00-0.799259622E+00-0.801775445E+00-0.804288745E+00-0.806800479E+00 --0.809310647E+00-0.811819334E+00-0.814327029E+00-0.816834040E+00-0.819340366E+00 --0.821846009E+00-0.824352186E+00-0.826858058E+00-0.829364439E+00-0.831871329E+00 --0.834379996E+00-0.836889269E+00-0.839399683E+00-0.841911764E+00-0.844425510E+00 --0.846942703E+00-0.849461119E+00-0.851982506E+00-0.854506316E+00-0.857032550E+00 --0.859561753E+00-0.862094865E+00-0.864631896E+00-0.867172514E+00-0.869716705E+00 --0.872265180E+00-0.874818233E+00-0.877375961E+00-0.879938075E+00-0.882504620E+00 --0.885076264E+00-0.887653236E+00-0.890235536E+00-0.892823455E+00-0.895417291E+00 --0.898017045E+00-0.900622801E+00-0.903234912E+00-0.905852786E+00-0.908477305E+00 --0.911108537E+00-0.913746481E+00-0.916391267E+00-0.919043469E+00-0.921702987E+00 --0.924369738E+00-0.927043978E+00-0.929725785E+00-0.932415167E+00-0.935112407E+00 --0.937817548E+00-0.940530761E+00-0.943252437E+00-0.945982463E+00-0.948720857E+00 --0.951467621E+00-0.954222943E+00-0.956987232E+00-0.959760501E+00-0.962542757E+00 --0.965334055E+00-0.968134277E+00-0.970943836E+00-0.973762776E+00-0.976591070E+00 --0.979428760E+00-0.982276166E+00-0.985133195E+00-0.987999848E+00-0.990876124E+00 --0.993762212E+00-0.996658337E+00-0.999564497E+00-0.100248069E+01-0.100540687E+01 --0.100834316E+01-0.101128959E+01-0.101424620E+01-0.101721299E+01-0.102018997E+01 --0.102317729E+01-0.102617496E+01-0.102918296E+01-0.103220130E+01-0.103523007E+01 --0.103826928E+01-0.104131877E+01-0.104437855E+01-0.104744861E+01-0.105052895E+01 --0.818596502E+00-0.818196043E+00-0.817780159E+00-0.817348850E+00-0.816902116E+00 --0.816439957E+00-0.815962386E+00-0.815469539E+00-0.814961428E+00-0.814438052E+00 --0.813899413E+00-0.813343125E+00-0.812769482E+00-0.812178896E+00-0.811571391E+00 --0.810946815E+00-0.810304746E+00-0.809645470E+00-0.808968466E+00-0.808273514E+00 --0.807560492E+00-0.806828751E+00-0.806079244E+00-0.805310598E+00-0.804522829E+00 --0.803716192E+00-0.802890704E+00-0.802045075E+00-0.801180267E+00-0.800295138E+00 --0.799389538E+00-0.798463467E+00-0.797516925E+00-0.796549314E+00-0.795559925E+00 --0.794549617E+00-0.793518388E+00-0.792466240E+00-0.791393172E+00-0.790299184E+00 --0.789184307E+00-0.788050088E+00-0.786897030E+00-0.785725245E+00-0.784534818E+00 --0.783325715E+00-0.782098165E+00-0.780853788E+00-0.779594242E+00-0.778319629E+00 --0.777029872E+00-0.775724910E+00-0.774405088E+00-0.773072128E+00-0.771728140E+00 --0.770373950E+00-0.769009558E+00-0.767634964E+00-0.766250167E+00-0.764855169E+00 --0.763453102E+00-0.762043467E+00-0.760629383E+00-0.759211697E+00-0.757790388E+00 --0.756365455E+00-0.754936899E+00-0.753504803E+00-0.752073033E+00-0.750642527E+00 --0.749213444E+00-0.747785784E+00-0.746359571E+00-0.744937152E+00-0.743520080E+00 --0.742108355E+00-0.740702289E+00-0.739302603E+00-0.737911256E+00-0.736529018E+00 --0.735155728E+00-0.733791885E+00-0.732439393E+00-0.731098835E+00-0.729770240E+00 --0.728454040E+00-0.727152952E+00-0.725866994E+00-0.724596244E+00-0.723341587E+00 --0.722103269E+00-0.720881448E+00-0.719678336E+00-0.718494140E+00-0.717328860E+00 --0.716183594E+00-0.715059208E+00-0.713955660E+00-0.712873436E+00-0.711813630E+00 --0.710776103E+00-0.709762990E+00-0.708774292E+00-0.707810008E+00-0.706870137E+00 --0.705954356E+00-0.705064050E+00-0.704201308E+00-0.703365617E+00-0.702556970E+00 --0.701775365E+00-0.701020919E+00-0.700296121E+00-0.699601027E+00-0.698935638E+00 --0.698299954E+00-0.697693949E+00-0.697117286E+00-0.696571573E+00-0.696058359E+00 --0.695577130E+00-0.695127841E+00-0.694710492E+00-0.694325812E+00-0.693974884E+00 --0.693657419E+00-0.693374059E+00-0.693125363E+00-0.692911329E+00-0.692732359E+00 --0.692588531E+00-0.692480125E+00-0.692408538E+00-0.692373865E+00-0.692376107E+00 --0.692415264E+00-0.692491851E+00-0.692606999E+00-0.692760738E+00-0.692953068E+00 --0.693183985E+00-0.693454395E+00-0.693765265E+00-0.694116597E+00-0.694508391E+00 --0.694940977E+00-0.695415065E+00-0.695931087E+00-0.696489100E+00-0.697089102E+00 --0.697731854E+00-0.698418046E+00-0.699147701E+00-0.699920995E+00-0.700737989E+00 --0.701599460E+00-0.702505654E+00-0.703456759E+00-0.704452965E+00-0.705494563E+00 --0.706581321E+00-0.707713763E+00-0.708891894E+00-0.710116118E+00-0.711386759E+00 --0.712703389E+00-0.714065928E+00-0.715474375E+00-0.716928841E+00-0.718429176E+00 --0.719975350E+00-0.721567553E+00-0.723205089E+00-0.724887136E+00-0.726613509E+00 --0.728384209E+00-0.730199349E+00-0.732059528E+00-0.733960656E+00-0.735902096E+00 --0.737883850E+00-0.739905918E+00-0.741968299E+00-0.744071081E+00-0.746210432E+00 --0.748383463E+00-0.750590059E+00-0.752830219E+00-0.755103944E+00-0.757408924E+00 --0.759739636E+00-0.762095858E+00-0.764477590E+00-0.766884854E+00-0.769315731E+00 --0.771762207E+00-0.774223309E+00-0.776699832E+00-0.779191585E+00-0.781699434E+00 --0.784210083E+00-0.786723732E+00-0.789238951E+00-0.791755323E+00-0.794272849E+00 --0.796791529E+00-0.799311362E+00-0.801828712E+00-0.804340599E+00-0.806850834E+00 --0.809359435E+00-0.811866566E+00-0.814372188E+00-0.816876961E+00-0.819381049E+00 --0.821884544E+00-0.824388840E+00-0.826893663E+00-0.829398732E+00-0.831904448E+00 --0.834411105E+00-0.836918657E+00-0.839427650E+00-0.841938309E+00-0.844450922E+00 --0.846965856E+00-0.849482523E+00-0.852002043E+00-0.854524792E+00-0.857050426E+00 --0.859579197E+00-0.862111284E+00-0.864646796E+00-0.867185925E+00-0.869728690E+00 --0.872275878E+00-0.874827641E+00-0.877383980E+00-0.879944894E+00-0.882510452E+00 --0.885081159E+00-0.887657194E+00-0.890238557E+00-0.892825248E+00-0.895418410E+00 --0.898017432E+00-0.900622138E+00-0.903232942E+00-0.905849946E+00-0.908473679E+00 --0.911104125E+00-0.913741110E+00-0.916385075E+00-0.919036356E+00-0.921694954E+00 --0.924360869E+00-0.927034112E+00-0.929715067E+00-0.932403840E+00-0.935100430E+00 --0.937805052E+00-0.940517805E+00-0.943238678E+00-0.945968092E+00-0.948705890E+00 --0.951452058E+00-0.954206944E+00-0.956970812E+00-0.959743588E+00-0.962525211E+00 --0.965315778E+00-0.968115724E+00-0.970924906E+00-0.973743389E+00-0.976571183E+00 --0.979408393E+00-0.982255332E+00-0.985112021E+00-0.987978450E+00-0.990854521E+00 --0.993740403E+00-0.996636320E+00-0.999542275E+00-0.100245825E+01-0.100538422E+01 --0.100832022E+01-0.101126652E+01-0.101422307E+01-0.101718978E+01-0.102016674E+01 --0.102315412E+01-0.102615175E+01-0.102915975E+01-0.103217818E+01-0.103520704E+01 --0.103824641E+01-0.104129607E+01-0.104435600E+01-0.104742622E+01-0.105050673E+01 --0.818721204E+00-0.818321905E+00-0.817907182E+00-0.817477033E+00-0.817031459E+00 --0.816570460E+00-0.816094036E+00-0.815602187E+00-0.815094913E+00-0.814572214E+00 --0.814034087E+00-0.813478620E+00-0.812905910E+00-0.812316427E+00-0.811709889E+00 --0.811086330E+00-0.810445577E+00-0.809787572E+00-0.809111741E+00-0.808417957E+00 --0.807705984E+00-0.806975925E+00-0.806227835E+00-0.805460772E+00-0.804674570E+00 --0.803869228E+00-0.803044733E+00-0.802200825E+00-0.801337198E+00-0.800453508E+00 --0.799549581E+00-0.798625418E+00-0.797681018E+00-0.796715019E+00-0.795727819E+00 --0.794719543E+00-0.793690188E+00-0.792639912E+00-0.791568716E+00-0.790476601E+00 --0.789363673E+00-0.788231791E+00-0.787081071E+00-0.785911512E+00-0.784723115E+00 --0.783515790E+00-0.782289644E+00-0.781047124E+00-0.779789152E+00-0.778515951E+00 --0.777227545E+00-0.775923852E+00-0.774606443E+00-0.773276818E+00-0.771934975E+00 --0.770581150E+00-0.769216875E+00-0.767842398E+00-0.766458275E+00-0.765066344E+00 --0.763666707E+00-0.762259364E+00-0.760845946E+00-0.759428970E+00-0.758008411E+00 --0.756583795E+00-0.755155555E+00-0.753724481E+00-0.752294090E+00-0.750864769E+00 --0.749436517E+00-0.748009355E+00-0.746583676E+00-0.745161178E+00-0.743743537E+00 --0.742332213E+00-0.740927406E+00-0.739529117E+00-0.738137746E+00-0.736755273E+00 --0.735381850E+00-0.734017828E+00-0.732665435E+00-0.731325047E+00-0.729996618E+00 --0.728680304E+00-0.727378412E+00-0.726091487E+00-0.724820901E+00-0.723566654E+00 --0.722328747E+00-0.721107179E+00-0.719901951E+00-0.718716816E+00-0.717550935E+00 --0.716405684E+00-0.715281273E+00-0.714177688E+00-0.713094285E+00-0.712032571E+00 --0.710995084E+00-0.709981753E+00-0.708992578E+00-0.708027557E+00-0.707086692E+00 --0.706169983E+00-0.705278783E+00-0.704415111E+00-0.703578568E+00-0.702769153E+00 --0.701986840E+00-0.701231920E+00-0.700506547E+00-0.699810649E+00-0.699144227E+00 --0.698507281E+00-0.697899810E+00-0.697322098E+00-0.696776063E+00-0.696261984E+00 --0.695779862E+00-0.695329696E+00-0.694911675E+00-0.694526075E+00-0.694173865E+00 --0.693855320E+00-0.693571439E+00-0.693322221E+00-0.693107667E+00-0.692927776E+00 --0.692782377E+00-0.692673317E+00-0.692601135E+00-0.692565660E+00-0.692566893E+00 --0.692604832E+00-0.692680767E+00-0.692795122E+00-0.692947984E+00-0.693139438E+00 --0.693369483E+00-0.693639119E+00-0.693949217E+00-0.694299776E+00-0.694690802E+00 --0.695122371E+00-0.695595536E+00-0.696110782E+00-0.696668076E+00-0.697267330E+00 --0.697909379E+00-0.698594853E+00-0.699323753E+00-0.700096023E+00-0.700912232E+00 --0.701773038E+00-0.702678562E+00-0.703628805E+00-0.704623769E+00-0.705664155E+00 --0.706750189E+00-0.707881873E+00-0.709059328E+00-0.710283126E+00-0.711552522E+00 --0.712867937E+00-0.714229336E+00-0.715636643E+00-0.717089858E+00-0.718588981E+00 --0.720134225E+00-0.721725722E+00-0.723362462E+00-0.725043479E+00-0.726768799E+00 --0.728538239E+00-0.730351797E+00-0.732210057E+00-0.734109134E+00-0.736048821E+00 --0.738029104E+00-0.740049763E+00-0.742110736E+00-0.744211762E+00-0.746348330E+00 --0.748519045E+00-0.750723934E+00-0.752962818E+00-0.755235273E+00-0.757538503E+00 --0.759867261E+00-0.762221244E+00-0.764600058E+00-0.767003706E+00-0.769431751E+00 --0.771876740E+00-0.774335977E+00-0.776809464E+00-0.779297363E+00-0.781800616E+00 --0.784310694E+00-0.786821842E+00-0.789334059E+00-0.791847345E+00-0.794361701E+00 --0.796877126E+00-0.799393621E+00-0.801909938E+00-0.804418338E+00-0.806925345E+00 --0.809430883E+00-0.811934951E+00-0.814437550E+00-0.816939864E+00-0.819441715E+00 --0.821942846E+00-0.824444271E+00-0.826946374E+00-0.829449260E+00-0.831952591E+00 --0.834456800E+00-0.836961888E+00-0.839468861E+00-0.841977982E+00-0.844488122E+00 --0.847000468E+00-0.849515067E+00-0.852032578E+00-0.854553213E+00-0.857076874E+00 --0.859603661E+00-0.862133955E+00-0.864667781E+00-0.867205137E+00-0.869746162E+00 --0.872291551E+00-0.874841389E+00-0.877395676E+00-0.879955000E+00-0.882519258E+00 --0.885088162E+00-0.887662516E+00-0.890242431E+00-0.892827906E+00-0.895419549E+00 --0.898016357E+00-0.900619609E+00-0.903229106E+00-0.905844700E+00-0.908467354E+00 --0.911096231E+00-0.913731959E+00-0.916375038E+00-0.919025274E+00-0.921682641E+00 --0.924347140E+00-0.927018850E+00-0.929698651E+00-0.932386269E+00-0.935081828E+00 --0.937785475E+00-0.940497197E+00-0.943216984E+00-0.945945261E+00-0.948682050E+00 --0.951427426E+00-0.954181685E+00-0.956944755E+00-0.959716654E+00-0.962497400E+00 --0.965287142E+00-0.968086245E+00-0.970894725E+00-0.973712587E+00-0.976539860E+00 --0.979376517E+00-0.982222925E+00-0.985079084E+00-0.987944975E+00-0.990820558E+00 --0.993706120E+00-0.996601695E+00-0.999507260E+00-0.100242282E+01-0.100534836E+01 --0.100828405E+01-0.101123007E+01-0.101418640E+01-0.101715305E+01-0.102012999E+01 --0.102311721E+01-0.102611486E+01-0.102912295E+01-0.103214147E+01-0.103517042E+01 --0.103820996E+01-0.104125981E+01-0.104432001E+01-0.104739057E+01-0.105047148E+01 --0.818886960E+00-0.818488821E+00-0.818075258E+00-0.817646270E+00-0.817201856E+00 --0.816742018E+00-0.816266754E+00-0.815776065E+00-0.815270128E+00-0.814749042E+00 --0.814212756E+00-0.813658300E+00-0.813087155E+00-0.812499274E+00-0.811894582E+00 --0.811272534E+00-0.810633139E+00-0.809976540E+00-0.809301882E+00-0.808609753E+00 --0.807899583E+00-0.807171327E+00-0.806424870E+00-0.805659390E+00-0.804874781E+00 --0.804071356E+00-0.803248996E+00-0.802407527E+00-0.801546078E+00-0.800664569E+00 --0.799762774E+00-0.798840695E+00-0.797898358E+00-0.796935168E+00-0.795950903E+00 --0.794945563E+00-0.793919146E+00-0.792871654E+00-0.791802603E+00-0.790712134E+00 --0.789601428E+00-0.788471957E+00-0.787323796E+00-0.786156886E+00-0.784971229E+00 --0.783766822E+00-0.782543688E+00-0.781304163E+00-0.780048878E+00-0.778777832E+00 --0.777490985E+00-0.776188874E+00-0.774874175E+00-0.773547259E+00-0.772208126E+00 --0.770856691E+00-0.769492976E+00-0.768118761E+00-0.766736878E+00-0.765347368E+00 --0.763950152E+00-0.762545231E+00-0.761132925E+00-0.759716585E+00-0.758296714E+00 --0.756873312E+00-0.755446519E+00-0.754016989E+00-0.752587962E+00-0.751159734E+00 --0.749732306E+00-0.748305679E+00-0.746880960E+00-0.745458843E+00-0.744040869E+00 --0.742630224E+00-0.741226678E+00-0.739829648E+00-0.738439137E+00-0.737055723E+00 --0.735682125E+00-0.734318136E+00-0.732965953E+00-0.731625788E+00-0.730297612E+00 --0.728980808E+00-0.727677531E+00-0.726390591E+00-0.725119988E+00-0.723865722E+00 --0.722627793E+00-0.721406200E+00-0.720200960E+00-0.719013704E+00-0.717847536E+00 --0.716701765E+00-0.715576484E+00-0.714471693E+00-0.713387910E+00-0.712326725E+00 --0.711287509E+00-0.710272721E+00-0.709282363E+00-0.708316395E+00-0.707374601E+00 --0.706456963E+00-0.705564867E+00-0.704700264E+00-0.703862792E+00-0.703052274E+00 --0.702268691E+00-0.701512744E+00-0.700786175E+00-0.700089013E+00-0.699421260E+00 --0.698782981E+00-0.698174091E+00-0.697595281E+00-0.697048427E+00-0.696533530E+00 --0.696050477E+00-0.695599141E+00-0.695179528E+00-0.694792807E+00-0.694439261E+00 --0.694119747E+00-0.693834694E+00-0.693584102E+00-0.693367970E+00-0.693186826E+00 --0.693040660E+00-0.692930493E+00-0.692857090E+00-0.692820464E+00-0.692820578E+00 --0.692857426E+00-0.692932143E+00-0.693045296E+00-0.693196884E+00-0.693387451E+00 --0.693616622E+00-0.693885486E+00-0.694194705E+00-0.694544020E+00-0.694933864E+00 --0.695364279E+00-0.695836332E+00-0.696350467E+00-0.696906670E+00-0.697505140E+00 --0.698146195E+00-0.698830500E+00-0.699558085E+00-0.700329099E+00-0.701144456E+00 --0.702004308E+00-0.702908691E+00-0.703857778E+00-0.704851584E+00-0.705890794E+00 --0.706975692E+00-0.708106309E+00-0.709282602E+00-0.710504830E+00-0.711773060E+00 --0.713087116E+00-0.714447060E+00-0.715852983E+00-0.717304885E+00-0.718802765E+00 --0.720346624E+00-0.721936585E+00-0.723571604E+00-0.725250923E+00-0.726974475E+00 --0.728742146E+00-0.730554055E+00-0.732410185E+00-0.734306926E+00-0.736244278E+00 --0.738222240E+00-0.740240813E+00-0.742299997E+00-0.744399525E+00-0.746533271E+00 --0.748701164E+00-0.750903203E+00-0.753139389E+00-0.755409763E+00-0.757710527E+00 --0.760036075E+00-0.762386405E+00-0.764761564E+00-0.767161557E+00-0.769586374E+00 --0.772032665E+00-0.774490844E+00-0.776960310E+00-0.779441065E+00-0.781933108E+00 --0.784436439E+00-0.786946565E+00-0.789457755E+00-0.791970015E+00-0.794483343E+00 --0.796997278E+00-0.799506804E+00-0.802014627E+00-0.804520031E+00-0.807022547E+00 --0.809524309E+00-0.812025247E+00-0.814524783E+00-0.817022850E+00-0.819522363E+00 --0.822020454E+00-0.824518954E+00-0.827017631E+00-0.829516431E+00-0.832015967E+00 --0.834517064E+00-0.837019719E+00-0.839523315E+00-0.842029532E+00-0.844537085E+00 --0.847046843E+00-0.849558807E+00-0.852074242E+00-0.854591918E+00-0.857112160E+00 --0.859635654E+00-0.862163118E+00-0.864694551E+00-0.867229795E+00-0.869768445E+00 --0.872311585E+00-0.874859199E+00-0.877411180E+00-0.879968074E+00-0.882529881E+00 --0.885096600E+00-0.887668979E+00-0.890246928E+00-0.892830550E+00-0.895419795E+00 --0.898014585E+00-0.900615589E+00-0.903223043E+00-0.905836946E+00-0.908457960E+00 --0.911084720E+00-0.913718790E+00-0.916360169E+00-0.919008853E+00-0.921664680E+00 --0.924327638E+00-0.926997729E+00-0.929676217E+00-0.932362216E+00-0.935056290E+00 --0.937758439E+00-0.940468664E+00-0.943187079E+00-0.945914249E+00-0.948649717E+00 --0.951393794E+00-0.954146782E+00-0.956908681E+00-0.959679490E+00-0.962459267E+00 --0.965248154E+00-0.968046401E+00-0.970853945E+00-0.973670787E+00-0.976497092E+00 --0.979333143E+00-0.982178810E+00-0.985034169E+00-0.987899220E+00-0.990773992E+00 --0.993658822E+00-0.996553803E+00-0.999458926E+00-0.100237406E+01-0.100529918E+01 --0.100823456E+01-0.101118030E+01-0.101413635E+01-0.101710274E+01-0.102007948E+01 --0.102306661E+01-0.102606416E+01-0.102907214E+01-0.103209062E+01-0.103511974E+01 --0.103815952E+01-0.104120966E+01-0.104427015E+01-0.104734099E+01-0.105042217E+01 --0.819093770E+00-0.818696792E+00-0.818284389E+00-0.817856561E+00-0.817413386E+00 --0.816955044E+00-0.816481503E+00-0.815992764E+00-0.815488826E+00-0.814969690E+00 --0.814435355E+00-0.813883184E+00-0.813313607E+00-0.812727441E+00-0.812124596E+00 --0.811504588E+00-0.810867118E+00-0.810212185E+00-0.809539892E+00-0.808849632E+00 --0.808141286E+00-0.807414856E+00-0.806670342E+00-0.805907154E+00-0.805125027E+00 --0.804323965E+00-0.803503968E+00-0.802664938E+00-0.801806038E+00-0.800927078E+00 --0.800028057E+00-0.799109025E+00-0.798169691E+00-0.797209424E+00-0.796228154E+00 --0.795225882E+00-0.794202608E+00-0.793158331E+00-0.792092816E+00-0.791006436E+00 --0.789899239E+00-0.788773014E+00-0.787627947E+00-0.786464029E+00-0.785281362E+00 --0.784079948E+00-0.782859865E+00-0.781623163E+00-0.780370664E+00-0.779102623E+00 --0.777819383E+00-0.776520931E+00-0.775208452E+00-0.773883671E+00-0.772546588E+00 --0.771197325E+00-0.769837079E+00-0.768466010E+00-0.767085852E+00-0.765698144E+00 --0.764302887E+00-0.762900080E+00-0.761490165E+00-0.760074261E+00-0.758655658E+00 --0.757234496E+00-0.755810817E+00-0.754384327E+00-0.752955044E+00-0.751526576E+00 --0.750099172E+00-0.748674308E+00-0.747251117E+00-0.745830695E+00-0.744414975E+00 --0.743003996E+00-0.741600230E+00-0.740203677E+00-0.738814338E+00-0.737432211E+00 --0.736056536E+00-0.734692626E+00-0.733340625E+00-0.732000634E+00-0.730672654E+00 --0.729356683E+00-0.728052961E+00-0.726765179E+00-0.725493734E+00-0.724238626E+00 --0.722999991E+00-0.721777983E+00-0.720572486E+00-0.719385102E+00-0.718218161E+00 --0.717071352E+00-0.715944758E+00-0.714838800E+00-0.713754049E+00-0.712691989E+00 --0.711652600E+00-0.710636228E+00-0.709644211E+00-0.708676623E+00-0.707733464E+00 --0.706815022E+00-0.705922277E+00-0.705056420E+00-0.704217524E+00-0.703405563E+00 --0.702620536E+00-0.701863242E+00-0.701135309E+00-0.700436784E+00-0.699767607E+00 --0.699127518E+00-0.698517390E+00-0.697937640E+00-0.697389216E+00-0.696872515E+00 --0.696387538E+00-0.695934284E+00-0.695513626E+00-0.695125974E+00-0.694771306E+00 --0.694450076E+00-0.694163361E+00-0.693911172E+00-0.693693774E+00-0.693511197E+00 --0.693363456E+00-0.693251818E+00-0.693176945E+00-0.693138837E+00-0.693137492E+00 --0.693172923E+00-0.693246381E+00-0.693358314E+00-0.693508683E+00-0.693697489E+00 --0.693925404E+00-0.694193038E+00-0.694500643E+00-0.694848778E+00-0.695237442E+00 --0.695666483E+00-0.696136940E+00-0.696649704E+00-0.697204775E+00-0.697802154E+00 --0.698441840E+00-0.699124516E+00-0.699850630E+00-0.700620239E+00-0.701434344E+00 --0.702292944E+00-0.703196039E+00-0.704143629E+00-0.705135883E+00-0.706173785E+00 --0.707257204E+00-0.708386278E+00-0.709561006E+00-0.710781513E+00-0.712047967E+00 --0.713360307E+00-0.714718534E+00-0.716122919E+00-0.717573411E+00-0.719069882E+00 --0.720612354E+00-0.722199954E+00-0.723832402E+00-0.725509465E+00-0.727230756E+00 --0.728996271E+00-0.730806176E+00-0.732659277E+00-0.734553798E+00-0.736488957E+00 --0.738464755E+00-0.740481191E+00-0.742538115E+00-0.744632431E+00-0.746763395E+00 --0.748928642E+00-0.751128112E+00-0.753361416E+00-0.755626259E+00-0.757922666E+00 --0.760245312E+00-0.762592742E+00-0.764964959E+00-0.767361331E+00-0.769782493E+00 --0.772224888E+00-0.774677789E+00-0.777141195E+00-0.779615106E+00-0.782099523E+00 --0.784594494E+00-0.787101545E+00-0.789617209E+00-0.792128441E+00-0.794635632E+00 --0.797140932E+00-0.799644528E+00-0.802146422E+00-0.804646612E+00-0.807144781E+00 --0.809641806E+00-0.812138075E+00-0.814633589E+00-0.817128348E+00-0.819622257E+00 --0.822116438E+00-0.824610822E+00-0.827105350E+00-0.829600022E+00-0.832095649E+00 --0.834592852E+00-0.837091529E+00-0.839591674E+00-0.842094239E+00-0.844597992E+00 --0.847104126E+00-0.849612639E+00-0.852124394E+00-0.854638630E+00-0.857155389E+00 --0.859675524E+00-0.862199630E+00-0.864727705E+00-0.867259750E+00-0.869795789E+00 --0.872335880E+00-0.874880339E+00-0.877429602E+00-0.879983824E+00-0.882543004E+00 --0.885107143E+00-0.887676463E+00-0.890251751E+00-0.892832668E+00-0.895419207E+00 --0.898011445E+00-0.900610209E+00-0.903215422E+00-0.905827030E+00-0.908445351E+00 --0.911070332E+00-0.913702024E+00-0.916341025E+00-0.918987336E+00-0.921640956E+00 --0.924301886E+00-0.926970563E+00-0.929646996E+00-0.932331083E+00-0.935023375E+00 --0.937723872E+00-0.940432575E+00-0.943149476E+00-0.945874615E+00-0.948608566E+00 --0.951351333E+00-0.954102917E+00-0.956863317E+00-0.959632534E+00-0.962410722E+00 --0.965198381E+00-0.967995441E+00-0.970801788E+00-0.973617433E+00-0.976442546E+00 --0.979277437E+00-0.982122118E+00-0.984976637E+00-0.987840848E+00-0.990714807E+00 --0.993598881E+00-0.996493106E+00-0.999397481E+00-0.100231201E+01-0.100523668E+01 --0.100817165E+01-0.101111694E+01-0.101407259E+01-0.101703861E+01-0.102001502E+01 --0.102300200E+01-0.102599940E+01-0.102900726E+01-0.103202571E+01-0.103505476E+01 --0.103809482E+01-0.104114524E+01-0.104420601E+01-0.104727677E+01-0.105035824E+01 --0.819341653E+00-0.818946056E+00-0.818535261E+00-0.818109267E+00-0.817668074E+00 --0.817211683E+00-0.816740093E+00-0.816253304E+00-0.815751317E+00-0.815234132E+00 --0.814701748E+00-0.814151890E+00-0.813584726E+00-0.813000715E+00-0.812399718E+00 --0.811781750E+00-0.811146372E+00-0.810493723E+00-0.809823814E+00-0.809136228E+00 --0.808430557E+00-0.807706802E+00-0.806964595E+00-0.806203707E+00-0.805424370E+00 --0.804626313E+00-0.803809205E+00-0.802973053E+00-0.802117251E+00-0.801241531E+00 --0.800345695E+00-0.799429783E+00-0.798494089E+00-0.797537716E+00-0.796560269E+00 --0.795561666E+00-0.794541665E+00-0.793500759E+00-0.792439444E+00-0.791357719E+00 --0.790255584E+00-0.789133115E+00-0.787991517E+00-0.786831133E+00-0.785651961E+00 --0.784454282E+00-0.783238092E+00-0.782004317E+00-0.780755337E+00-0.779491401E+00 --0.778212290E+00-0.776917980E+00-0.775608472E+00-0.774285711E+00-0.772950869E+00 --0.771605050E+00-0.770248437E+00-0.768881031E+00-0.767503169E+00-0.766117293E+00 --0.764724216E+00-0.763324104E+00-0.761916957E+00-0.760503255E+00-0.759086754E+00 --0.757667694E+00-0.756246075E+00-0.754821898E+00-0.753395132E+00-0.751966232E+00 --0.750540221E+00-0.749116483E+00-0.747694418E+00-0.746275312E+00-0.744861017E+00 --0.743451548E+00-0.742047588E+00-0.740650818E+00-0.739261261E+00-0.737879247E+00 --0.736506369E+00-0.735142400E+00-0.733789945E+00-0.732449849E+00-0.731122077E+00 --0.729806339E+00-0.728502707E+00-0.727214084E+00-0.725941744E+00-0.724685897E+00 --0.723446560E+00-0.722223733E+00-0.721017417E+00-0.719829562E+00-0.718661856E+00 --0.717514281E+00-0.716386813E+00-0.715279232E+00-0.714193315E+00-0.713130325E+00 --0.712090020E+00-0.711072377E+00-0.710078456E+00-0.709109234E+00-0.708164747E+00 --0.707245042E+00-0.706350541E+00-0.705482928E+00-0.704642365E+00-0.703828852E+00 --0.703042390E+00-0.702283781E+00-0.701554342E+00-0.700853992E+00-0.700182732E+00 --0.699540562E+00-0.698928749E+00-0.698347767E+00-0.697797612E+00-0.697278994E+00 --0.696791943E+00-0.696336897E+00-0.695914834E+00-0.695525755E+00-0.695169507E+00 --0.694845896E+00-0.694557128E+00-0.694303209E+00-0.694084139E+00-0.693899918E+00 --0.693750467E+00-0.693637280E+00-0.693560834E+00-0.693521130E+00-0.693518167E+00 --0.693551946E+00-0.693623415E+00-0.693733478E+00-0.693882131E+00-0.694069372E+00 --0.694295942E+00-0.694561699E+00-0.694867670E+00-0.695214013E+00-0.695600759E+00 --0.696028723E+00-0.696497997E+00-0.697008726E+00-0.697561988E+00-0.698157782E+00 --0.698796109E+00-0.699477204E+00-0.700201545E+00-0.700969758E+00-0.701782321E+00 --0.702639251E+00-0.703540549E+00-0.704486214E+00-0.705477199E+00-0.706513240E+00 --0.707594744E+00-0.708721861E+00-0.709894673E+00-0.711113578E+00-0.712377985E+00 --0.713688317E+00-0.715044701E+00-0.716447137E+00-0.717895626E+00-0.719390349E+00 --0.720930158E+00-0.722514815E+00-0.724144320E+00-0.725818673E+00-0.727537776E+00 --0.729301148E+00-0.731108428E+00-0.732957735E+00-0.734848813E+00-0.736781630E+00 --0.738755409E+00-0.740769407E+00-0.742821368E+00-0.744910956E+00-0.747038170E+00 --0.749200951E+00-0.751397646E+00-0.753626018E+00-0.755885624E+00-0.758176589E+00 --0.760496372E+00-0.762840464E+00-0.765207862E+00-0.767598567E+00-0.770014764E+00 --0.772451660E+00-0.774899060E+00-0.777356967E+00-0.779825379E+00-0.782304463E+00 --0.784794648E+00-0.787295917E+00-0.789803857E+00-0.792309939E+00-0.794811598E+00 --0.797310885E+00-0.799808484E+00-0.802304396E+00-0.804798621E+00-0.807291936E+00 --0.809784033E+00-0.812274816E+00-0.814764588E+00-0.817253349E+00-0.819741287E+00 --0.822229718E+00-0.824718859E+00-0.827208709E+00-0.829699287E+00-0.832191138E+00 --0.834683673E+00-0.837177306E+00-0.839672701E+00-0.842170398E+00-0.844669899E+00 --0.847171598E+00-0.849675696E+00-0.852182820E+00-0.854693294E+00-0.857206559E+00 --0.859723336E+00-0.862244005E+00-0.864768419E+00-0.867296574E+00-0.869828472E+00 --0.872364234E+00-0.874905081E+00-0.877451083E+00-0.880001886E+00-0.882557647E+00 --0.885118367E+00-0.887684291E+00-0.890256167E+00-0.892834006E+00-0.895417785E+00 --0.898007241E+00-0.900603460E+00-0.903205618E+00-0.905814289E+00-0.908429721E+00 --0.911051915E+00-0.913681075E+00-0.916317698E+00-0.918961631E+00-0.921612784E+00 --0.924271249E+00-0.926937174E+00-0.929611200E+00-0.932293248E+00-0.934983313E+00 --0.937681584E+00-0.940388091E+00-0.943103032E+00-0.945826375E+00-0.948558221E+00 --0.951299083E+00-0.954048939E+00-0.956807625E+00-0.959575127E+00-0.962351691E+00 --0.965137713E+00-0.967933184E+00-0.970738106E+00-0.973552454E+00-0.976376320E+00 --0.979209969E+00-0.982053402E+00-0.984906618E+00-0.987769827E+00-0.990642995E+00 --0.993526266E+00-0.996419635E+00-0.999323111E+00-0.100223670E+01-0.100516077E+01 --0.100809501E+01-0.101103967E+01-0.101399482E+01-0.101696046E+01-0.101993653E+01 --0.102292317E+01-0.102592036E+01-0.102892815E+01-0.103194652E+01-0.103497550E+01 --0.103801585E+01-0.104106601E+01-0.104412652E+01-0.104719785E+01-0.105027999E+01 --0.819631127E+00-0.819237707E+00-0.818829067E+00-0.818405206E+00-0.817966125E+00 --0.817511824E+00-0.817042303E+00-0.816557562E+00-0.816057601E+00-0.815542419E+00 --0.815012018E+00-0.814464455E+00-0.813899799E+00-0.813318404E+00-0.812720196E+00 --0.812104730E+00-0.811472010E+00-0.810822026E+00-0.810154778E+00-0.809470005E+00 --0.808767009E+00-0.808046068E+00-0.807306988E+00-0.806549339E+00-0.805773120E+00 --0.804978332E+00-0.804164299E+00-0.803331264E+00-0.802478728E+00-0.801606432E+00 --0.800714389E+00-0.799802592E+00-0.798871043E+00-0.797918999E+00-0.796945786E+00 --0.795951208E+00-0.794935719E+00-0.793899672E+00-0.792843223E+00-0.791766338E+00 --0.790669017E+00-0.789551259E+00-0.788413398E+00-0.787257010E+00-0.786082296E+00 --0.784889183E+00-0.783677750E+00-0.782449403E+00-0.781204603E+00-0.779944055E+00 --0.778668553E+00-0.777378097E+00-0.776072687E+00-0.774753638E+00-0.773422304E+00 --0.772080058E+00-0.770727010E+00-0.769363160E+00-0.767988613E+00-0.766605621E+00 --0.765215277E+00-0.763817898E+00-0.762413483E+00-0.761001997E+00-0.759587597E+00 --0.758170661E+00-0.756751344E+00-0.755329312E+00-0.753904565E+00-0.752478716E+00 --0.751054705E+00-0.749631973E+00-0.748210863E+00-0.746793085E+00-0.745380133E+00 --0.743972007E+00-0.742568708E+00-0.741171613E+00-0.739782229E+00-0.738401587E+00 --0.737029686E+00-0.735666527E+00-0.734313580E+00-0.732973001E+00-0.731644779E+00 --0.730328967E+00-0.729026346E+00-0.727736965E+00-0.726463625E+00-0.725206828E+00 --0.723966574E+00-0.722742862E+00-0.721536053E+00-0.720347505E+00-0.719178857E+00 --0.718030089E+00-0.716901202E+00-0.715792257E+00-0.714705205E+00-0.713640959E+00 --0.712599518E+00-0.711580624E+00-0.710584631E+00-0.709613569E+00-0.708667352E+00 --0.707745918E+00-0.706849648E+00-0.705980273E+00-0.705137948E+00-0.704322651E+00 --0.703534165E+00-0.702773759E+00-0.702042281E+00-0.701339849E+00-0.700666508E+00 --0.700022360E+00-0.699408666E+00-0.698825800E+00-0.698273763E+00-0.697752454E+00 --0.697263241E+00-0.696806666E+00-0.696382729E+00-0.695991430E+00-0.695632769E+00 --0.695307339E+00-0.695016680E+00-0.694760875E+00-0.694539822E+00-0.694353503E+00 --0.694201881E+00-0.694086248E+00-0.694007702E+00-0.693966245E+00-0.693961615E+00 --0.693993717E+00-0.694063077E+00-0.694171161E+00-0.694317772E+00-0.694503306E+00 --0.694727927E+00-0.694991717E+00-0.695295717E+00-0.695640089E+00-0.696024858E+00 --0.696451006E+00-0.696918583E+00-0.697427596E+00-0.697978787E+00-0.698572697E+00 --0.699209311E+00-0.699888630E+00-0.700610828E+00-0.701377085E+00-0.702187619E+00 --0.703042432E+00-0.703941662E+00-0.704885785E+00-0.705874778E+00-0.706908640E+00 --0.707988008E+00-0.709113056E+00-0.710283751E+00-0.711500191E+00-0.712762380E+00 --0.714070505E+00-0.715424689E+00-0.716824904E+00-0.718270812E+00-0.719762327E+00 --0.721299381E+00-0.722881191E+00-0.724507759E+00-0.726179140E+00-0.727895397E+00 --0.729656528E+00-0.731460427E+00-0.733306097E+00-0.735193636E+00-0.737122830E+00 --0.739093619E+00-0.741103537E+00-0.743151000E+00-0.745236007E+00-0.747358560E+00 --0.749517835E+00-0.751709825E+00-0.753933213E+00-0.756187999E+00-0.758473885E+00 --0.760787782E+00-0.763126631E+00-0.765488584E+00-0.767873641E+00-0.770281842E+00 --0.772712419E+00-0.775154306E+00-0.777607276E+00-0.780071329E+00-0.782546465E+00 --0.785032227E+00-0.787523124E+00-0.790020171E+00-0.792517229E+00-0.795012469E+00 --0.797506245E+00-0.799997708E+00-0.802487484E+00-0.804975197E+00-0.807461451E+00 --0.809946710E+00-0.812431116E+00-0.814914812E+00-0.817397498E+00-0.819879512E+00 --0.822362148E+00-0.824845494E+00-0.827329492E+00-0.829814386E+00-0.832300257E+00 --0.834787633E+00-0.837276113E+00-0.839766041E+00-0.842258147E+00-0.844752452E+00 --0.847249716E+00-0.849749076E+00-0.852251340E+00-0.854757019E+00-0.857265990E+00 --0.859777536E+00-0.862293680E+00-0.864813785E+00-0.867337632E+00-0.869865221E+00 --0.872396649E+00-0.874933204E+00-0.877474921E+00-0.880021802E+00-0.882573903E+00 --0.885130808E+00-0.887693204E+00-0.890261562E+00-0.892835784E+00-0.895415809E+00 --0.898001641E+00-0.900594490E+00-0.903193188E+00-0.905798701E+00-0.908411028E+00 --0.911030171E+00-0.913656129E+00-0.916289563E+00-0.918930508E+00-0.921578766E+00 --0.924234336E+00-0.926897499E+00-0.929568789E+00-0.932248220E+00-0.934935831E+00 --0.937631501E+00-0.940335606E+00-0.943048146E+00-0.945769121E+00-0.948498729E+00 --0.951237349E+00-0.953984984E+00-0.956741636E+00-0.959507303E+00-0.962282196E+00 --0.965066499E+00-0.967860211E+00-0.970663333E+00-0.973475882E+00-0.976298180E+00 --0.979130285E+00-0.981972196E+00-0.984824199E+00-0.987686277E+00-0.990558074E+00 --0.993440113E+00-0.996332396E+00-0.999234930E+00-0.100214775E+01-0.100507086E+01 --0.100800437E+01-0.101094838E+01-0.101390288E+01-0.101686793E+01-0.101984372E+01 --0.102283009E+01-0.102582705E+01-0.102883466E+01-0.103185292E+01-0.103488200E+01 --0.103792103E+01-0.104097141E+01-0.104403260E+01-0.104710462E+01-0.105018745E+01 --0.819958041E+00-0.819567575E+00-0.819161804E+00-0.818740812E+00-0.818304599E+00 --0.817853167E+00-0.817386515E+00-0.816904642E+00-0.816407549E+00-0.815895236E+00 --0.815367703E+00-0.814822355E+00-0.814260281E+00-0.813681646E+00-0.813086393E+00 --0.812474083E+00-0.811844336E+00-0.811197154E+00-0.810532550E+00-0.809850702E+00 --0.809150684E+00-0.808433412E+00-0.807697571E+00-0.806943161E+00-0.806170181E+00 --0.805378632E+00-0.804568513E+00-0.803739754E+00-0.802891333E+00-0.802023159E+00 --0.801135232E+00-0.800227552E+00-0.799300119E+00-0.798352717E+00-0.797383948E+00 --0.796394686E+00-0.795384817E+00-0.794354340E+00-0.793303257E+00-0.792231461E+00 --0.791139033E+00-0.790026168E+00-0.788893882E+00-0.787742920E+00-0.786573228E+00 --0.785384799E+00-0.784178120E+00-0.782955039E+00-0.781715559E+00-0.780459679E+00 --0.779187669E+00-0.777900475E+00-0.776599795E+00-0.775286336E+00-0.773960099E+00 --0.772621431E+00-0.771271833E+00-0.769911433E+00-0.768540568E+00-0.767161680E+00 --0.765775252E+00-0.764381283E+00-0.762979774E+00-0.761571032E+00-0.760159195E+00 --0.758744643E+00-0.757327376E+00-0.755907394E+00-0.754484696E+00-0.753061581E+00 --0.751639843E+00-0.750219376E+00-0.748800180E+00-0.747383477E+00-0.745971594E+00 --0.744564521E+00-0.743162593E+00-0.741766225E+00-0.740377154E+00-0.738997070E+00 --0.737625972E+00-0.736263785E+00-0.734910631E+00-0.733569512E+00-0.732240893E+00 --0.730925367E+00-0.729622933E+00-0.728333594E+00-0.727059179E+00-0.725801306E+00 --0.724559985E+00-0.723335624E+00-0.722128449E+00-0.720938723E+00-0.719768537E+00 --0.718618343E+00-0.717488128E+00-0.716377759E+00-0.715289721E+00-0.714223984E+00 --0.713180549E+00-0.712159414E+00-0.711161986E+00-0.710189082E+00-0.709240812E+00 --0.708317649E+00-0.707419596E+00-0.706548460E+00-0.705704053E+00-0.704886401E+00 --0.704095562E+00-0.703333029E+00-0.702599401E+00-0.701894679E+00-0.701218936E+00 --0.700572745E+00-0.699957150E+00-0.699372008E+00-0.698817319E+00-0.698293359E+00 --0.697801840E+00-0.697342951E+00-0.696916692E+00-0.696523064E+00-0.696161874E+00 --0.695834275E+00-0.695541471E+00-0.695283401E+00-0.695060064E+00-0.694871460E+00 --0.694717589E+00-0.694599491E+00-0.694518476E+00-0.694474549E+00-0.694467711E+00 --0.694497959E+00-0.694565407E+00-0.694670559E+00-0.694815012E+00-0.694998552E+00 --0.695221178E+00-0.695482890E+00-0.695784638E+00-0.696126507E+00-0.696509409E+00 --0.696933744E+00-0.697399224E+00-0.697905759E+00-0.698454656E+00-0.699046384E+00 --0.699680839E+00-0.700357998E+00-0.701078001E+00-0.701842076E+00-0.702650429E+00 --0.703503206E+00-0.704400341E+00-0.705341678E+00-0.706328198E+00-0.707359897E+00 --0.708436833E+00-0.709559500E+00-0.710727727E+00-0.711941703E+00-0.713201428E+00 --0.714506944E+00-0.715858558E+00-0.717255692E+00-0.718698401E+00-0.720186684E+00 --0.721720583E+00-0.723299571E+00-0.724923316E+00-0.726591754E+00-0.728304516E+00 --0.730061823E+00-0.731862032E+00-0.733703646E+00-0.735586860E+00-0.737511676E+00 --0.739478098E+00-0.741483770E+00-0.743526988E+00-0.745607819E+00-0.747724960E+00 --0.749877154E+00-0.752064185E+00-0.754283115E+00-0.756533453E+00-0.758812939E+00 --0.761119148E+00-0.763452172E+00-0.765809508E+00-0.768190512E+00-0.770590062E+00 --0.773007257E+00-0.775442177E+00-0.777891181E+00-0.780351267E+00-0.782820908E+00 --0.785296744E+00-0.787778729E+00-0.790266863E+00-0.792755196E+00-0.795242235E+00 --0.797728093E+00-0.800212769E+00-0.802695052E+00-0.805174871E+00-0.807653697E+00 --0.810131528E+00-0.812608366E+00-0.815084209E+00-0.817560797E+00-0.820036933E+00 --0.822513396E+00-0.824989672E+00-0.827466923E+00-0.829945151E+00-0.832424355E+00 --0.834904698E+00-0.837387357E+00-0.839871694E+00-0.842358209E+00-0.844846902E+00 --0.847338480E+00-0.849832666E+00-0.852329583E+00-0.854829267E+00-0.857332250E+00 --0.859839259E+00-0.862349556E+00-0.864864105E+00-0.867382909E+00-0.869905966E+00 --0.872433124E+00-0.874965252E+00-0.877502398E+00-0.880044675E+00-0.882592083E+00 --0.885144623E+00-0.887702815E+00-0.890266820E+00-0.892836632E+00-0.895412308E+00 --0.897994387E+00-0.900582996E+00-0.903178137E+00-0.905779907E+00-0.908388488E+00 --0.911003884E+00-0.913626270E+00-0.916256174E+00-0.918893618E+00-0.921538602E+00 --0.924191106E+00-0.926851412E+00-0.929519781E+00-0.932196211E+00-0.934880704E+00 --0.937573382E+00-0.940274600E+00-0.942984367E+00-0.945702681E+00-0.948430114E+00 --0.951166341E+00-0.953911516E+00-0.956665650E+00-0.959428751E+00-0.962201288E+00 --0.964983484E+00-0.967775304E+00-0.970576520E+00-0.973387145E+00-0.976207808E+00 --0.979038290E+00-0.981878673E+00-0.984729029E+00-0.987589358E+00-0.990459776E+00 --0.993340436E+00-0.996231337E+00-0.999132685E+00-0.100204464E+01-0.100496680E+01 --0.100789958E+01-0.101084286E+01-0.101379661E+01-0.101676109E+01-0.101973631E+01 --0.102272228E+01-0.102571899E+01-0.102872638E+01-0.103174461E+01-0.103477370E+01 --0.103781241E+01-0.104086257E+01-0.104392439E+01-0.104699708E+01-0.105008060E+01 --0.820327112E+00-0.819939972E+00-0.819537507E+00-0.819119715E+00-0.818686598E+00 --0.818238095E+00-0.817774311E+00-0.817295307E+00-0.816801083E+00-0.816291639E+00 --0.815766974E+00-0.815224853E+00-0.814665652E+00-0.814089792E+00-0.813497494E+00 --0.812888420E+00-0.812261911E+00-0.811617965E+00-0.810956584E+00-0.810278035E+00 --0.809582017E+00-0.808867881E+00-0.808135765E+00-0.807385213E+00-0.806616227E+00 --0.805828804E+00-0.805022526E+00-0.804197535E+00-0.803353927E+00-0.802490586E+00 --0.801607393E+00-0.800704348E+00-0.799781464E+00-0.798839181E+00-0.797875721E+00 --0.796892349E+00-0.795888290E+00-0.794863546E+00-0.793818116E+00-0.792752034E+00 --0.791665355E+00-0.790557752E+00-0.789431250E+00-0.788286051E+00-0.787122210E+00 --0.785939732E+00-0.784738850E+00-0.783521295E+00-0.782287352E+00-0.781036973E+00 --0.779769802E+00-0.778486934E+00-0.777191240E+00-0.775883036E+00-0.774562279E+00 --0.773228745E+00-0.771882577E+00-0.770525627E+00-0.769158574E+00-0.767783791E+00 --0.766401437E+00-0.765011421E+00-0.763613747E+00-0.762209141E+00-0.760800820E+00 --0.759389139E+00-0.757974106E+00-0.756556172E+00-0.755135569E+00-0.753714867E+00 --0.752295522E+00-0.750877476E+00-0.749460730E+00-0.748045507E+00-0.746634577E+00 --0.745228673E+00-0.743828319E+00-0.742433535E+00-0.741045082E+00-0.739665474E+00 --0.738294852E+00-0.736933217E+00-0.735581115E+00-0.734239366E+00-0.732910429E+00 --0.731594823E+00-0.730292546E+00-0.729003430E+00-0.727727960E+00-0.726468629E+00 --0.725226365E+00-0.724001288E+00-0.722793398E+00-0.721602695E+00-0.720430733E+00 --0.719278904E+00-0.718146834E+00-0.717035844E+00-0.715946551E+00-0.714878954E+00 --0.713833055E+00-0.712809692E+00-0.711810611E+00-0.710835994E+00-0.709885840E+00 --0.708960236E+00-0.708060113E+00-0.707186534E+00-0.706339717E+00-0.705519661E+00 --0.704726507E+00-0.703961776E+00-0.703225682E+00-0.702518214E+00-0.701839869E+00 --0.701191618E+00-0.700573423E+00-0.699985570E+00-0.699428170E+00-0.698901579E+00 --0.698407585E+00-0.697946169E+00-0.697517335E+00-0.697121171E+00-0.696757677E+00 --0.696427174E+00-0.696131366E+00-0.695870474E+00-0.695644497E+00-0.695453436E+00 --0.695297290E+00-0.695176564E+00-0.695092868E+00-0.695046440E+00-0.695037223E+00 --0.695065216E+00-0.695130420E+00-0.695232884E+00-0.695374380E+00-0.695555205E+00 --0.695775360E+00-0.696034845E+00-0.696334145E+00-0.696673821E+00-0.697054502E+00 --0.697476240E+00-0.697939035E+00-0.698442963E+00-0.698989286E+00-0.699578431E+00 --0.700210399E+00-0.700885308E+00-0.701603061E+00-0.702364956E+00-0.703170880E+00 --0.704020964E+00-0.704915291E+00-0.705853974E+00-0.706837791E+00-0.707866843E+00 --0.708941281E+00-0.710061401E+00-0.711226949E+00-0.712438019E+00-0.713694725E+00 --0.714997067E+00-0.716345138E+00-0.717738996E+00-0.719178441E+00-0.720663472E+00 --0.722194146E+00-0.723769941E+00-0.725389975E+00-0.727054328E+00-0.728762999E+00 --0.730516002E+00-0.732311166E+00-0.734148038E+00-0.736026618E+00-0.737947055E+00 --0.739909106E+00-0.741910533E+00-0.743950038E+00-0.746025071E+00-0.748135157E+00 --0.750280296E+00-0.752460487E+00-0.754675573E+00-0.756920658E+00-0.759192776E+00 --0.761491658E+00-0.763817133E+00-0.766169745E+00-0.768542376E+00-0.770932679E+00 --0.773340654E+00-0.775766300E+00-0.778209155E+00-0.780663869E+00-0.783124717E+00 --0.785591641E+00-0.788064713E+00-0.790543819E+00-0.793023840E+00-0.795502658E+00 --0.797979469E+00-0.800454565E+00-0.802927680E+00-0.805398415E+00-0.807868578E+00 --0.810338171E+00-0.812807193E+00-0.815275643E+00-0.817743523E+00-0.820211882E+00 --0.822680613E+00-0.825150066E+00-0.827620242E+00-0.830091141E+00-0.832562761E+00 --0.835037024E+00-0.837512887E+00-0.839990188E+00-0.842469795E+00-0.844951707E+00 --0.847436292E+00-0.849924509E+00-0.852415196E+00-0.854908649E+00-0.857405365E+00 --0.859906117E+00-0.862410915E+00-0.864919952E+00-0.867433252E+00-0.869950858E+00 --0.872473193E+00-0.874999662E+00-0.877531262E+00-0.880068379E+00-0.882611012E+00 --0.885158936E+00-0.887711915E+00-0.890271336E+00-0.892836263E+00-0.895407452E+00 --0.897985172E+00-0.900569423E+00-0.903160204E+00-0.905757517E+00-0.908362021E+00 --0.910973361E+00-0.913592152E+00-0.916218339E+00-0.918851901E+00-0.921492838E+00 --0.924141646E+00-0.926798422E+00-0.929463010E+00-0.932136030E+00-0.934817385E+00 --0.937506810E+00-0.940204838E+00-0.942911607E+00-0.945626945E+00-0.948351292E+00 --0.951084649E+00-0.953827153E+00-0.956578697E+00-0.959339232E+00-0.962109313E+00 --0.964889052E+00-0.967678449E+00-0.970477504E+00-0.973286234E+00-0.976104739E+00 --0.978933311E+00-0.981771856E+00-0.984620374E+00-0.987478866E+00-0.990347831E+00 --0.993227099E+00-0.996116530E+00-0.999016567E+00-0.100192721E+01-0.100484849E+01 --0.100778020E+01-0.101072262E+01-0.101367576E+01-0.101663964E+01-0.101961425E+01 --0.102259959E+01-0.102559583E+01-0.102860302E+01-0.103162108E+01-0.103465002E+01 --0.103768915E+01-0.104073973E+01-0.104380178E+01-0.104687524E+01-0.104995944E+01 --0.820737888E+00-0.820354071E+00-0.819954928E+00-0.819540459E+00-0.819110665E+00 --0.818665545E+00-0.818205099E+00-0.817729327E+00-0.817238201E+00-0.816731625E+00 --0.816209830E+00-0.815670936E+00-0.815115078E+00-0.814542700E+00-0.813953498E+00 --0.813347658E+00-0.812724454E+00-0.812084124E+00-0.811426669E+00-0.810752088E+00 --0.810060122E+00-0.809349939E+00-0.808621619E+00-0.807875145E+00-0.807110342E+00 --0.806327179E+00-0.805525375E+00-0.804704931E+00-0.803865844E+00-0.803007366E+00 --0.802129054E+00-0.801231244E+00-0.800314053E+00-0.799377356E+00-0.798420186E+00 --0.797442720E+00-0.796444839E+00-0.795426200E+00-0.794386874E+00-0.793326904E+00 --0.792246808E+00-0.791146690E+00-0.790026438E+00-0.788887211E+00-0.787729528E+00 --0.786553208E+00-0.785358310E+00-0.784146459E+00-0.782918267E+00-0.781673910E+00 --0.780413405E+00-0.779136771E+00-0.777846310E+00-0.776543299E+00-0.775227739E+00 --0.773899630E+00-0.772558972E+00-0.771205803E+00-0.769842940E+00-0.768472435E+00 --0.767094272E+00-0.765708451E+00-0.764314972E+00-0.762914307E+00-0.761509678E+00 --0.760101690E+00-0.758690342E+00-0.757275392E+00-0.755857701E+00-0.754439373E+00 --0.753022253E+00-0.751606482E+00-0.750192059E+00-0.748779075E+00-0.747369070E+00 --0.745964605E+00-0.744565710E+00-0.743172384E+00-0.741784893E+00-0.740405761E+00 --0.739035616E+00-0.737674640E+00-0.736323596E+00-0.734982538E+00-0.733653025E+00 --0.732336840E+00-0.731033986E+00-0.729744917E+00-0.728469689E+00-0.727208980E+00 --0.725965570E+00-0.724739548E+00-0.723530914E+00-0.722339552E+00-0.721165546E+00 --0.720011092E+00-0.718877630E+00-0.717765692E+00-0.716674973E+00-0.715605474E+00 --0.714557193E+00-0.713532145E+00-0.712531080E+00-0.711554026E+00-0.710601453E+00 --0.709673382E+00-0.708770610E+00-0.707894573E+00-0.707045295E+00-0.706222821E+00 --0.705427149E+00-0.704659535E+00-0.703920546E+00-0.703210055E+00-0.702529215E+00 --0.701878420E+00-0.701257668E+00-0.700666961E+00-0.700106146E+00-0.699576579E+00 --0.699079683E+00-0.698615457E+00-0.698183901E+00-0.697785015E+00-0.697418800E+00 --0.697085255E+00-0.696786459E+00-0.696522579E+00-0.696293616E+00-0.696099840E+00 --0.695941252E+00-0.695817714E+00-0.695730643E+00-0.695681067E+00-0.695668985E+00 --0.695694398E+00-0.695757305E+00-0.695857591E+00-0.695995386E+00-0.696173456E+00 --0.696391004E+00-0.696647909E+00-0.696944189E+00-0.697280964E+00-0.697658884E+00 --0.698077933E+00-0.698538043E+00-0.699039296E+00-0.699583027E+00-0.700169580E+00 --0.700798956E+00-0.701471155E+00-0.702186171E+00-0.702944881E+00-0.703747914E+00 --0.704595190E+00-0.705486708E+00-0.706422470E+00-0.707403390E+00-0.708429657E+00 --0.709500838E+00-0.710617568E+00-0.711779845E+00-0.712987670E+00-0.714241043E+00 --0.715540025E+00-0.716884766E+00-0.718275254E+00-0.719711403E+00-0.721192776E+00 --0.722719156E+00-0.724290491E+00-0.725906263E+00-0.727566431E+00-0.729271012E+00 --0.731019341E+00-0.732809408E+00-0.734641183E+00-0.736514664E+00-0.738429851E+00 --0.740386830E+00-0.742384721E+00-0.744417713E+00-0.746485919E+00-0.748589340E+00 --0.750727975E+00-0.752901825E+00-0.755110589E+00-0.757348267E+00-0.759612545E+00 --0.761903255E+00-0.764220439E+00-0.766564213E+00-0.768929707E+00-0.771312874E+00 --0.773713507E+00-0.776129936E+00-0.778561856E+00-0.781006816E+00-0.783458412E+00 --0.785916316E+00-0.788380527E+00-0.790850466E+00-0.793320296E+00-0.795788622E+00 --0.798255233E+00-0.800720130E+00-0.803183313E+00-0.805644919E+00-0.808105827E+00 --0.810566165E+00-0.813025931E+00-0.815485570E+00-0.817945142E+00-0.820405509E+00 --0.822865144E+00-0.825326182E+00-0.827788231E+00-0.830251003E+00-0.832715686E+00 --0.835182048E+00-0.837649916E+00-0.840119596E+00-0.842591582E+00-0.845065873E+00 --0.847542998E+00-0.850023672E+00-0.852507899E+00-0.854995166E+00-0.857485592E+00 --0.859980062E+00-0.862478578E+00-0.864981139E+00-0.867488392E+00-0.869999815E+00 --0.872515857E+00-0.875036515E+00-0.877562328E+00-0.880093656E+00-0.882630501E+00 --0.885172861E+00-0.887721046E+00-0.890274867E+00-0.892834852E+00-0.895401223E+00 --0.897974100E+00-0.900553484E+00-0.903139374E+00-0.905731771E+00-0.908331086E+00 --0.910937973E+00-0.913552384E+00-0.916174319E+00-0.918803731E+00-0.921440534E+00 --0.924085282E+00-0.926738022E+00-0.929398809E+00-0.932067980E+00-0.934745582E+00 --0.937431615E+00-0.940126236E+00-0.942829316E+00-0.945541450E+00-0.948262694E+00 --0.950992958E+00-0.953732231E+00-0.956480760E+00-0.959238746E+00-0.962006345E+00 --0.964783527E+00-0.967570293E+00-0.970366641E+00-0.973172694E+00-0.975989101E+00 --0.978815187E+00-0.981651582E+00-0.984498234E+00-0.987354888E+00-0.990222238E+00 --0.993099803E+00-0.995987907E+00-0.998886569E+00-0.100179583E+01-0.100471569E+01 --0.100764607E+01-0.101058744E+01-0.101353982E+01-0.101650296E+01-0.101947682E+01 --0.102246151E+01-0.102545731E+01-0.102846420E+01-0.103148217E+01-0.103451095E+01 --0.103755049E+01-0.104060150E+01-0.104366397E+01-0.104673790E+01-0.104982329E+01 --0.821190368E+00-0.820809874E+00-0.820414054E+00-0.820002908E+00-0.819576436E+00 --0.819134639E+00-0.818677516E+00-0.818205067E+00-0.817717292E+00-0.817214193E+00 --0.816696171E+00-0.816160612E+00-0.815608347E+00-0.815039643E+00-0.814454465E+00 --0.813852300E+00-0.813233031E+00-0.812596660E+00-0.811943163E+00-0.811272541E+00 --0.810584639E+00-0.809878685E+00-0.809154592E+00-0.808412478E+00-0.807652531E+00 --0.806874300E+00-0.806077369E+00-0.805261739E+00-0.804427362E+00-0.803573782E+00 --0.802701056E+00-0.801808957E+00-0.800897477E+00-0.799966625E+00-0.799015779E+00 --0.798044638E+00-0.797053269E+00-0.796041207E+00-0.795008348E+00-0.793955713E+00 --0.792883055E+00-0.791790375E+00-0.790677710E+00-0.789545853E+00-0.788395053E+00 --0.787225311E+00-0.786036431E+00-0.784831036E+00-0.783609463E+00-0.782371734E+00 --0.781117876E+00-0.779847936E+00-0.778563168E+00-0.777265506E+00-0.775955313E+00 --0.774632587E+00-0.773297383E+00-0.771951035E+00-0.770593723E+00-0.769227831E+00 --0.767854185E+00-0.766472780E+00-0.765083496E+00-0.763686820E+00-0.762285897E+00 --0.760881600E+00-0.759473629E+00-0.758061986E+00-0.756648388E+00-0.755233742E+00 --0.753818705E+00-0.752404971E+00-0.750992619E+00-0.749582657E+00-0.748175108E+00 --0.746772026E+00-0.745374665E+00-0.743982898E+00-0.742596600E+00-0.741217933E+00 --0.739847913E+00-0.738487832E+00-0.737137736E+00-0.735797627E+00-0.734467877E+00 --0.733151064E+00-0.731847944E+00-0.730558581E+00-0.729282974E+00-0.728021489E+00 --0.726776862E+00-0.725549623E+00-0.724339773E+00-0.723147339E+00-0.721972391E+00 --0.720816781E+00-0.719681552E+00-0.718567266E+00-0.717474200E+00-0.716402353E+00 --0.715351942E+00-0.714324934E+00-0.713321767E+00-0.712342442E+00-0.711387049E+00 --0.710456451E+00-0.709551199E+00-0.708672537E+00-0.707820566E+00-0.706995355E+00 --0.706196907E+00-0.705426356E+00-0.704683760E+00-0.703970332E+00-0.703286948E+00 --0.702633485E+00-0.702009743E+00-0.701415721E+00-0.700851475E+00-0.700319352E+00 --0.699819074E+00-0.699351176E+00-0.698916262E+00-0.698514333E+00-0.698145387E+00 --0.697809304E+00-0.697506592E+00-0.697239377E+00-0.697007311E+00-0.696810425E+00 --0.696648719E+00-0.696522189E+00-0.696431927E+00-0.696379159E+00-0.696363886E+00 --0.696386107E+00-0.696445819E+00-0.696542995E+00-0.696678165E+00-0.696853045E+00 --0.697067498E+00-0.697321363E+00-0.697614600E+00-0.697948298E+00-0.698323141E+00 --0.698739129E+00-0.699196263E+00-0.699694824E+00-0.700235944E+00-0.700819614E+00 --0.701445834E+00-0.702114604E+00-0.702826658E+00-0.703582717E+00-0.704382126E+00 --0.705226000E+00-0.706114474E+00-0.707047546E+00-0.708024997E+00-0.709047416E+00 --0.710115207E+00-0.711228546E+00-0.712387417E+00-0.713591765E+00-0.714841585E+00 --0.716136877E+00-0.717477642E+00-0.718864152E+00-0.720296060E+00-0.721772970E+00 --0.723294887E+00-0.724861749E+00-0.726473061E+00-0.728128766E+00-0.729828434E+00 --0.731571569E+00-0.733356432E+00-0.735182986E+00-0.737051228E+00-0.738960992E+00 --0.740910776E+00-0.742900701E+00-0.744927350E+00-0.746988973E+00-0.749085837E+00 --0.751218137E+00-0.753385652E+00-0.755586952E+00-0.757815595E+00-0.760070840E+00 --0.762352686E+00-0.764661133E+00-0.766996182E+00-0.769354971E+00-0.771729808E+00 --0.774120135E+00-0.776525953E+00-0.778947261E+00-0.781382339E+00-0.783824371E+00 --0.786272079E+00-0.788725332E+00-0.791183843E+00-0.793641781E+00-0.796098678E+00 --0.798554534E+00-0.801009349E+00-0.803462335E+00-0.805913785E+00-0.808365438E+00 --0.810816188E+00-0.813266016E+00-0.815715128E+00-0.818164537E+00-0.820614917E+00 --0.823065472E+00-0.825517187E+00-0.827970268E+00-0.830424723E+00-0.832880889E+00 --0.835338564E+00-0.837797750E+00-0.840259299E+00-0.842723663E+00-0.845190148E+00 --0.847659535E+00-0.850132474E+00-0.852608966E+00-0.855088892E+00-0.857572600E+00 --0.860060103E+00-0.862551492E+00-0.865046781E+00-0.867546652E+00-0.870051443E+00 --0.872561156E+00-0.875075564E+00-0.877595414E+00-0.880120619E+00-0.882651320E+00 --0.885187679E+00-0.887729695E+00-0.890277375E+00-0.892831363E+00-0.895392077E+00 --0.897959533E+00-0.900533718E+00-0.903114410E+00-0.905701650E+00-0.908296158E+00 --0.910898190E+00-0.913507759E+00-0.916124823E+00-0.918749299E+00-0.921381395E+00 --0.924021717E+00-0.926670306E+00-0.929327162E+00-0.931992165E+00-0.934665627E+00 --0.937347692E+00-0.940038360E+00-0.942737720E+00-0.945446159E+00-0.948163717E+00 --0.950890393E+00-0.953626439E+00-0.956371606E+00-0.959126377E+00-0.961891048E+00 --0.964665369E+00-0.967449272E+00-0.970242759E+00-0.973046130E+00-0.975859801E+00 --0.978683714E+00-0.981517840E+00-0.984362281E+00-0.987217040E+00-0.990082240E+00 --0.992957967E+00-0.995844453E+00-0.998741537E+00-0.100164922E+01-0.100456750E+01 --0.100749662E+01-0.101043684E+01-0.101338813E+01-0.101635049E+01-0.101932364E+01 --0.102230785E+01-0.102530325E+01-0.102830979E+01-0.103132758E+01-0.103435662E+01 --0.103739644E+01-0.104044783E+01-0.104351078E+01-0.104658513E+01-0.104967094E+01 --0.821684552E+00-0.821307381E+00-0.820914884E+00-0.820507061E+00-0.820083912E+00 --0.819645437E+00-0.819191777E+00-0.818723028E+00-0.818239189E+00-0.817740261E+00 --0.817226242E+00-0.816694654E+00-0.816146158E+00-0.815581392E+00-0.815000298E+00 --0.814402426E+00-0.813787406E+00-0.813155238E+00-0.812505923E+00-0.811839394E+00 --0.811155570E+00-0.810453967E+00-0.809734514E+00-0.808997213E+00-0.808242063E+00 --0.807468990E+00-0.806677249E+00-0.805866808E+00-0.805037919E+00-0.804189972E+00 --0.803322962E+00-0.802436888E+00-0.801531734E+00-0.800606883E+00-0.799662136E+00 --0.798697605E+00-0.797713289E+00-0.796708976E+00-0.795683863E+00-0.794638786E+00 --0.793573581E+00-0.792488339E+00-0.791383113E+00-0.790258745E+00-0.789115434E+00 --0.787953204E+00-0.786772815E+00-0.785574553E+00-0.784359561E+00-0.783128440E+00 --0.781881190E+00-0.780618537E+00-0.779341379E+00-0.778049726E+00-0.776744857E+00 --0.775427533E+00-0.774098846E+00-0.772759050E+00-0.771408147E+00-0.770047201E+00 --0.768678433E+00-0.767301912E+00-0.765917913E+00-0.764526664E+00-0.763130010E+00 --0.761729094E+00-0.760324502E+00-0.758916412E+00-0.757506739E+00-0.756096011E+00 --0.754684228E+00-0.753272532E+00-0.751862797E+00-0.750455492E+00-0.749050618E+00 --0.747649255E+00-0.746253554E+00-0.744863573E+00-0.743479469E+00-0.742101565E+00 --0.740732215E+00-0.739372729E+00-0.738023108E+00-0.736683352E+00-0.735353711E+00 --0.734036816E+00-0.732733371E+00-0.731443593E+00-0.730167607E+00-0.728905458E+00 --0.727659615E+00-0.726431154E+00-0.725220020E+00-0.724026298E+00-0.722849986E+00 --0.721692749E+00-0.720556000E+00-0.719439732E+00-0.718344270E+00-0.717270076E+00 --0.716217331E+00-0.715188221E+00-0.714182952E+00-0.713201526E+00-0.712243692E+00 --0.711309653E+00-0.710401603E+00-0.709519842E+00-0.708664967E+00-0.707836978E+00 --0.707035801E+00-0.706261083E+00-0.705515137E+00-0.704798910E+00-0.704112402E+00 --0.703455614E+00-0.702828546E+00-0.702231197E+00-0.701663568E+00-0.701127963E+00 --0.700624600E+00-0.700153392E+00-0.699714676E+00-0.699308950E+00-0.698936208E+00 --0.698597082E+00-0.698291378E+00-0.698020426E+00-0.697784812E+00-0.697584537E+00 --0.697419601E+00-0.697290004E+00-0.697196392E+00-0.697140198E+00-0.697121469E+00 --0.697140203E+00-0.697196402E+00-0.697290065E+00-0.697422183E+00-0.697593754E+00 --0.697804738E+00-0.698055186E+00-0.698345380E+00-0.698676000E+00-0.699047726E+00 --0.699460279E+00-0.699913689E+00-0.700409112E+00-0.700946952E+00-0.701527199E+00 --0.702149921E+00-0.702815263E+00-0.703524085E+00-0.704276602E+00-0.705072813E+00 --0.705913083E+00-0.706797951E+00-0.707727419E+00-0.708701583E+00-0.709720699E+00 --0.710784676E+00-0.711894043E+00-0.713048882E+00-0.714249194E+00-0.715494983E+00 --0.716786200E+00-0.718122701E+00-0.719504613E+00-0.720931759E+00-0.722403986E+00 --0.723921338E+00-0.725483730E+00-0.727090236E+00-0.728740344E+00-0.730434055E+00 --0.732171566E+00-0.733951170E+00-0.735772623E+00-0.737634901E+00-0.739537070E+00 --0.741479131E+00-0.743461084E+00-0.745481263E+00-0.747536493E+00-0.749626697E+00 --0.751751876E+00-0.753910938E+00-0.756102794E+00-0.758322551E+00-0.760569215E+00 --0.762842787E+00-0.765143266E+00-0.767468274E+00-0.769813792E+00-0.772178734E+00 --0.774559275E+00-0.776955118E+00-0.779366263E+00-0.781789556E+00-0.784219570E+00 --0.786655746E+00-0.789097471E+00-0.791544599E+00-0.793990648E+00-0.796435657E+00 --0.798879623E+00-0.801322549E+00-0.803764097E+00-0.806204706E+00-0.808644835E+00 --0.811084679E+00-0.813523808E+00-0.815962263E+00-0.818401110E+00-0.820840812E+00 --0.823281606E+00-0.825724032E+00-0.828166868E+00-0.830611227E+00-0.833057794E+00 --0.835506569E+00-0.837957072E+00-0.840409295E+00-0.842866039E+00-0.845324250E+00 --0.847785817E+00-0.850250256E+00-0.852718103E+00-0.855189438E+00-0.857664899E+00 --0.860144558E+00-0.862628434E+00-0.865116323E+00-0.867609138E+00-0.870106695E+00 --0.872608962E+00-0.875116275E+00-0.877629435E+00-0.880147405E+00-0.882671330E+00 --0.885201210E+00-0.887737010E+00-0.890278491E+00-0.892826412E+00-0.895381078E+00 --0.897942471E+00-0.900510590E+00-0.903085450E+00-0.905667447E+00-0.908256794E+00 --0.910853552E+00-0.913457723E+00-0.916069306E+00-0.918688349E+00-0.921315613E+00 --0.923951143E+00-0.926594916E+00-0.929247001E+00-0.931907373E+00-0.934576268E+00 --0.937254045E+00-0.939940704E+00-0.942636062E+00-0.945340757E+00-0.948054534E+00 --0.950777441E+00-0.953509478E+00-0.956250795E+00-0.959002002E+00-0.961763132E+00 --0.964534183E+00-0.967315156E+00-0.970105803E+00-0.972906469E+00-0.975717406E+00 --0.978538613E+00-0.981370294E+00-0.984212427E+00-0.987064924E+00-0.989927831E+00 --0.992801538E+00-0.995685899E+00-0.998581140E+00-0.100148722E+01-0.100440392E+01 --0.100733179E+01-0.101027084E+01-0.101322098E+01-0.101618222E+01-0.101915461E+01 --0.102213794E+01-0.102513300E+01-0.102813932E+01-0.103115688E+01-0.103418569E+01 --0.103722580E+01-0.104027748E+01-0.104334072E+01-0.104641554E+01-0.104950194E+01 --0.822220441E+00-0.821846593E+00-0.821457315E+00-0.821052927E+00-0.820633451E+00 --0.820198884E+00-0.819749228E+00-0.819284482E+00-0.818804646E+00-0.818309721E+00 --0.817799706E+00-0.817272475E+00-0.816728305E+00-0.816167599E+00-0.815590589E+00 --0.814997009E+00-0.814386282E+00-0.813758407E+00-0.813113690E+00-0.812452149E+00 --0.811772748E+00-0.811076318E+00-0.810361926E+00-0.809629572E+00-0.808879257E+00 --0.808111027E+00-0.807324828E+00-0.806520437E+00-0.805696994E+00-0.804854697E+00 --0.803993623E+00-0.803113770E+00-0.802215140E+00-0.801297285E+00-0.800359593E+00 --0.799402246E+00-0.798425059E+00-0.797428065E+00-0.796411175E+00-0.795374320E+00 --0.794317501E+00-0.793240581E+00-0.792142754E+00-0.791025769E+00-0.789890043E+00 --0.788736271E+00-0.787564622E+00-0.786375094E+00-0.785167689E+00-0.783943149E+00 --0.782702841E+00-0.781447949E+00-0.780178542E+00-0.778894624E+00-0.777596248E+00 --0.776285201E+00-0.774963048E+00-0.773629790E+00-0.772285427E+00-0.770930016E+00 --0.769566253E+00-0.768195172E+00-0.766816774E+00-0.765431057E+00-0.764039239E+00 --0.762643173E+00-0.761242834E+00-0.759838561E+00-0.758432732E+00-0.757025766E+00 --0.755617663E+00-0.754208968E+00-0.752802177E+00-0.751397599E+00-0.749995364E+00 --0.748595949E+00-0.747201862E+00-0.745813647E+00-0.744431390E+00-0.743055169E+00 --0.741687153E+00-0.740328234E+00-0.738978757E+00-0.737639146E+00-0.736309612E+00 --0.734993012E+00-0.733689862E+00-0.732400164E+00-0.731123916E+00-0.729861111E+00 --0.728613676E+00-0.727383752E+00-0.726171240E+00-0.724976141E+00-0.723798455E+00 --0.722639604E+00-0.721501129E+00-0.720383063E+00-0.719285405E+00-0.718208458E+00 --0.717153853E+00-0.716122261E+00-0.715114138E+00-0.714129485E+00-0.713168356E+00 --0.712232250E+00-0.711321718E+00-0.710436780E+00-0.709578293E+00-0.708746692E+00 --0.707941978E+00-0.707164738E+00-0.706416153E+00-0.705695871E+00-0.705005374E+00 --0.704344719E+00-0.703713905E+00-0.703112933E+00-0.702542591E+00-0.702003448E+00 --0.701496458E+00-0.701021654E+00-0.700579034E+00-0.700169291E+00-0.699792996E+00 --0.699450101E+00-0.699140610E+00-0.698865971E+00-0.698626671E+00-0.698422712E+00 --0.698253970E+00-0.698120569E+00-0.698023907E+00-0.697963623E+00-0.697940923E+00 --0.697955808E+00-0.698008276E+00-0.698098791E+00-0.698227450E+00-0.698395497E+00 --0.698602930E+00-0.698849750E+00-0.699136379E+00-0.699463586E+00-0.699831502E+00 --0.700240209E+00-0.700689843E+00-0.701181696E+00-0.701715967E+00-0.702292654E+00 --0.702911785E+00-0.703573294E+00-0.704278305E+00-0.705027254E+00-0.705819924E+00 --0.706656289E+00-0.707537392E+00-0.708462897E+00-0.709433005E+00-0.710448080E+00 --0.711508120E+00-0.712613241E+00-0.713763993E+00-0.714959953E+00-0.716201197E+00 --0.717487724E+00-0.718819535E+00-0.720196779E+00-0.721619154E+00-0.723086398E+00 --0.724598415E+00-0.726155182E+00-0.727755729E+00-0.729399832E+00-0.731087565E+00 --0.732819212E+00-0.734593794E+00-0.736408457E+00-0.738263013E+00-0.740157459E+00 --0.742091798E+00-0.744066028E+00-0.746079679E+00-0.748129358E+00-0.750211983E+00 --0.752327188E+00-0.754474973E+00-0.756655338E+00-0.758867149E+00-0.761106116E+00 --0.763371991E+00-0.765662992E+00-0.767974614E+00-0.770306823E+00-0.772659619E+00 --0.775030905E+00-0.777417201E+00-0.779818399E+00-0.782227823E+00-0.784643874E+00 --0.787066551E+00-0.789495856E+00-0.791932251E+00-0.794365979E+00-0.796798262E+00 --0.799229247E+00-0.801658932E+00-0.804087759E+00-0.806516163E+00-0.808943499E+00 --0.811370987E+00-0.813799134E+00-0.816226691E+00-0.818654861E+00-0.821083886E+00 --0.823513766E+00-0.825945485E+00-0.828377580E+00-0.830811884E+00-0.833248395E+00 --0.835687114E+00-0.838128041E+00-0.840571175E+00-0.843017520E+00-0.845466458E+00 --0.847918802E+00-0.850374592E+00-0.852833715E+00-0.855296522E+00-0.857763345E+00 --0.860234184E+00-0.862709381E+00-0.865189572E+00-0.867674508E+00-0.870164146E+00 --0.872658550E+00-0.875158332E+00-0.877663653E+00-0.880174532E+00-0.882691270E+00 --0.885213963E+00-0.887742638E+00-0.890277809E+00-0.892819343E+00-0.895367383E+00 --0.897922103E+00-0.900483555E+00-0.903052611E+00-0.905628303E+00-0.908211322E+00 --0.910802120E+00-0.913400692E+00-0.916006793E+00-0.918620805E+00-0.921242743E+00 --0.923872981E+00-0.926511567E+00-0.929158501E+00-0.931813812E+00-0.934478029E+00 --0.937151149E+00-0.939833110E+00-0.942523888E+00-0.945224025E+00-0.947933707E+00 --0.950652576E+00-0.953380596E+00-0.956118318E+00-0.958865961E+00-0.961623521E+00 --0.964390863E+00-0.967167944E+00-0.969955779E+00-0.972753339E+00-0.975561226E+00 --0.978379442E+00-0.981208280E+00-0.984047746E+00-0.986897598E+00-0.989758000E+00 --0.992629444E+00-0.995511898E+00-0.998405220E+00-0.100130942E+01-0.100422468E+01 --0.100715095E+01-0.101008867E+01-0.101303759E+01-0.101599765E+01-0.101896883E+01 --0.102195140E+01-0.102494571E+01-0.102795175E+01-0.103096908E+01-0.103399766E+01 --0.103703806E+01-0.104009003E+01-0.104315357E+01-0.104622868E+01-0.104931536E+01 --0.822797645E+00-0.822427440E+00-0.822042145E+00-0.821641761E+00-0.821226288E+00 --0.820795724E+00-0.820350071E+00-0.819889329E+00-0.819413496E+00-0.818922574E+00 --0.818416562E+00-0.817893689E+00-0.817353989E+00-0.816797872E+00-0.816225326E+00 --0.815636087E+00-0.815029987E+00-0.814407025E+00-0.813767202E+00-0.813110135E+00 --0.812435862E+00-0.811744542E+00-0.811035492E+00-0.810308480E+00-0.809563506E+00 --0.808800570E+00-0.808019849E+00-0.807221072E+00-0.806403682E+00-0.805567774E+00 --0.804713216E+00-0.803839880E+00-0.802947766E+00-0.802036872E+00-0.801106550E+00 --0.800156573E+00-0.799186941E+00-0.798197966E+00-0.797189587E+00-0.796161157E+00 --0.795112696E+00-0.794044203E+00-0.792955679E+00-0.791847065E+00-0.790719890E+00 --0.789574842E+00-0.788411921E+00-0.787231127E+00-0.786032460E+00-0.784815892E+00 --0.783582991E+00-0.782335844E+00-0.781074217E+00-0.779798108E+00-0.778507581E+00 --0.777203932E+00-0.775888193E+00-0.774561350E+00-0.773223732E+00-0.771875758E+00 --0.770517856E+00-0.769152377E+00-0.767779505E+00-0.766399344E+00-0.765012464E+00 --0.763621256E+00-0.762225719E+00-0.760827034E+00-0.759425226E+00-0.758021696E+00 --0.756617030E+00-0.755211800E+00-0.753808558E+00-0.752407530E+00-0.751008440E+00 --0.749611293E+00-0.748218977E+00-0.746832444E+00-0.745451895E+00-0.744077312E+00 --0.742710597E+00-0.741353000E+00-0.740004521E+00-0.738665206E+00-0.737335648E+00 --0.736019512E+00-0.734716476E+00-0.733426540E+00-0.732149703E+00-0.730886314E+00 --0.729638962E+00-0.728407471E+00-0.727193317E+00-0.725996576E+00-0.724817422E+00 --0.723657168E+00-0.722516200E+00-0.721395544E+00-0.720295190E+00-0.719216107E+00 --0.718159727E+00-0.717126050E+00-0.716115076E+00-0.715126814E+00-0.714162284E+00 --0.713223328E+00-0.712309947E+00-0.711422140E+00-0.710559906E+00-0.709724633E+00 --0.708916168E+00-0.708135640E+00-0.707383767E+00-0.706660549E+00-0.705966041E+00 --0.705301105E+00-0.704666228E+00-0.704061885E+00-0.703488076E+00-0.702944846E+00 --0.702433707E+00-0.701954752E+00-0.701508134E+00-0.701094623E+00-0.700714232E+00 --0.700367361E+00-0.700054070E+00-0.699775776E+00-0.699532635E+00-0.699324469E+00 --0.699151277E+00-0.699014107E+00-0.698913495E+00-0.698849419E+00-0.698822693E+00 --0.698833561E+00-0.698882270E+00-0.698968901E+00-0.699093649E+00-0.699257620E+00 --0.699460978E+00-0.699703826E+00-0.699986820E+00-0.700310078E+00-0.700674069E+00 --0.701078847E+00-0.701524714E+00-0.702012997E+00-0.702543445E+00-0.703116206E+00 --0.703731306E+00-0.704388744E+00-0.705089434E+00-0.705834163E+00-0.706622881E+00 --0.707455587E+00-0.708332514E+00-0.709253590E+00-0.710219392E+00-0.711230061E+00 --0.712285596E+00-0.713386338E+00-0.714532387E+00-0.715723326E+00-0.716959564E+00 --0.718241103E+00-0.719568060E+00-0.720940108E+00-0.722356895E+00-0.723818395E+00 --0.725324669E+00-0.726875541E+00-0.728470097E+00-0.730108220E+00-0.731789727E+00 --0.733514459E+00-0.735281846E+00-0.737089153E+00-0.738936381E+00-0.740823528E+00 --0.742750572E+00-0.744716486E+00-0.746720923E+00-0.748762292E+00-0.750835676E+00 --0.752941073E+00-0.755078484E+00-0.757247908E+00-0.759449347E+00-0.761682502E+00 --0.763939642E+00-0.766217369E+00-0.768515682E+00-0.770834582E+00-0.773174070E+00 --0.775534144E+00-0.777912417E+00-0.780300939E+00-0.782696073E+00-0.785098234E+00 --0.787507420E+00-0.789923633E+00-0.792344427E+00-0.794763875E+00-0.797183063E+00 --0.799601003E+00-0.802017387E+00-0.804432901E+00-0.806847689E+00-0.809262329E+00 --0.811677449E+00-0.814093209E+00-0.816508905E+00-0.818925228E+00-0.821342359E+00 --0.823760653E+00-0.826180780E+00-0.828601929E+00-0.831025585E+00-0.833451388E+00 --0.835879339E+00-0.838309437E+00-0.840741698E+00-0.843177123E+00-0.845616290E+00 --0.848059200E+00-0.850505575E+00-0.852955244E+00-0.855408451E+00-0.857866188E+00 --0.860327860E+00-0.862794193E+00-0.865265533E+00-0.867741880E+00-0.870223086E+00 --0.872709246E+00-0.875201130E+00-0.877698563E+00-0.880201535E+00-0.882710528E+00 --0.885225678E+00-0.887746953E+00-0.890274665E+00-0.892808813E+00-0.895349987E+00 --0.897897923E+00-0.900452708E+00-0.903014665E+00-0.905583780E+00-0.908160426E+00 --0.910744850E+00-0.913337053E+00-0.915937216E+00-0.918545641E+00-0.921161924E+00 --0.923786525E+00-0.926419503E+00-0.929060856E+00-0.931710947E+00-0.934370193E+00 --0.937038226E+00-0.939715072E+00-0.942400879E+00-0.945096234E+00-0.947801193E+00 --0.950515755E+00-0.953239961E+00-0.955973878E+00-0.958717535E+00-0.961470932E+00 --0.964234078E+00-0.967007629E+00-0.969791618E+00-0.972585926E+00-0.975390552E+00 --0.978205489E+00-0.981031232E+00-0.983867803E+00-0.986715036E+00-0.989572987E+00 --0.992441998E+00-0.995322066E+00-0.998213318E+00-0.100111561E+01-0.100402906E+01 --0.100695356E+01-0.100988952E+01-0.101283702E+01-0.101579593E+01-0.101876604E+01 --0.102174786E+01-0.102474144E+01-0.102774676E+01-0.103076384E+01-0.103379253E+01 --0.103683321E+01-0.103988547E+01-0.104294937E+01-0.104602490E+01-0.104911206E+01 --0.823412982E+00-0.823047501E+00-0.822666897E+00-0.822271169E+00-0.821860318E+00 --0.821434342E+00-0.820993243E+00-0.820537020E+00-0.820065674E+00-0.819579203E+00 --0.819077609E+00-0.818558890E+00-0.818023896E+00-0.817472521E+00-0.816904694E+00 --0.816320141E+00-0.815718879E+00-0.815100774E+00-0.814465813E+00-0.813813819E+00 --0.813144723E+00-0.812458526E+00-0.811754817E+00-0.811033149E+00-0.810293769E+00 --0.809536690E+00-0.808761913E+00-0.807969402E+00-0.807158529E+00-0.806329085E+00 --0.805481070E+00-0.804614485E+00-0.803729200E+00-0.802825155E+00-0.801902076E+00 --0.800959677E+00-0.799998116E+00-0.799017392E+00-0.798017504E+00-0.796998034E+00 --0.795958441E+00-0.794898819E+00-0.793819613E+00-0.792721086E+00-0.791602893E+00 --0.790466537E+00-0.789312308E+00-0.788140287E+00-0.786950680E+00-0.785743386E+00 --0.784519795E+00-0.783280815E+00-0.782026912E+00-0.780758528E+00-0.779476045E+00 --0.778180825E+00-0.776872948E+00-0.775552874E+00-0.774222421E+00-0.772881393E+00 --0.771530216E+00-0.770171256E+00-0.768804828E+00-0.767430931E+00-0.766049563E+00 --0.764662690E+00-0.763272730E+00-0.761879622E+00-0.760483367E+00-0.759083965E+00 --0.757682332E+00-0.756280574E+00-0.754881000E+00-0.753483277E+00-0.752087405E+00 --0.750693385E+00-0.749303652E+00-0.747919512E+00-0.746540965E+00-0.745168097E+00 --0.743802598E+00-0.742446289E+00-0.741098892E+00-0.739760344E+00-0.738432313E+00 --0.737115952E+00-0.735812178E+00-0.734521502E+00-0.733243927E+00-0.731980361E+00 --0.730732457E+00-0.729500032E+00-0.728284228E+00-0.727085845E+00-0.725905201E+00 --0.724743548E+00-0.723601003E+00-0.722477816E+00-0.721374068E+00-0.720293037E+00 --0.719234536E+00-0.718198543E+00-0.717185059E+00-0.716194082E+00-0.715225936E+00 --0.714283264E+00-0.713366426E+00-0.712475422E+00-0.711610253E+00-0.710770989E+00 --0.709958658E+00-0.709174700E+00-0.708419241E+00-0.707692281E+00-0.706993819E+00 --0.706324143E+00-0.705684974E+00-0.705076594E+00-0.704499006E+00-0.703952117E+00 --0.703436340E+00-0.702952773E+00-0.702502357E+00-0.702084946E+00-0.701700449E+00 --0.701348870E+00-0.701031611E+00-0.700749078E+00-0.700501488E+00-0.700288872E+00 --0.700111414E+00-0.699970260E+00-0.699865602E+00-0.699797334E+00-0.699765945E+00 --0.699772625E+00-0.699817225E+00-0.699899747E+00-0.700020189E+00-0.700179992E+00 --0.700379009E+00-0.700617766E+00-0.700896786E+00-0.701216070E+00-0.701575616E+00 --0.701975869E+00-0.702417548E+00-0.702901565E+00-0.703427921E+00-0.703996614E+00 --0.704607645E+00-0.705261015E+00-0.705957056E+00-0.706697341E+00-0.707481486E+00 --0.708309771E+00-0.709182195E+00-0.710098760E+00-0.711059496E+00-0.712065421E+00 --0.713116266E+00-0.714212124E+00-0.715352878E+00-0.716538528E+00-0.717769621E+00 --0.719046036E+00-0.720367373E+00-0.721733456E+00-0.723144285E+00-0.724599861E+00 --0.726100183E+00-0.727645086E+00-0.729233213E+00-0.730864275E+00-0.732538272E+00 --0.734255204E+00-0.736015268E+00-0.737815345E+00-0.739655385E+00-0.741534669E+00 --0.743452472E+00-0.745408792E+00-0.747403630E+00-0.749435582E+00-0.751499807E+00 --0.753595968E+00-0.755723824E+00-0.757883508E+00-0.760074480E+00-0.762292290E+00 --0.764536985E+00-0.766803700E+00-0.769090872E+00-0.771398500E+00-0.773726584E+00 --0.776072640E+00-0.778435827E+00-0.780809248E+00-0.783190639E+00-0.785579252E+00 --0.787974892E+00-0.790377558E+00-0.792782290E+00-0.795186393E+00-0.797590687E+00 --0.799993647E+00-0.802396215E+00-0.804798113E+00-0.807199285E+00-0.809600936E+00 --0.812002601E+00-0.814404514E+00-0.816806959E+00-0.819210495E+00-0.821614850E+00 --0.824020740E+00-0.826428591E+00-0.828837760E+00-0.831249332E+00-0.833663529E+00 --0.836080347E+00-0.838499477E+00-0.840920736E+00-0.843345524E+00-0.845774053E+00 --0.848206326E+00-0.850642340E+00-0.853082097E+00-0.855525597E+00-0.857973115E+00 --0.860425414E+00-0.862882629E+00-0.865344794E+00-0.867811908E+00-0.870283970E+00 --0.872761249E+00-0.875244303E+00-0.877733073E+00-0.880227682E+00-0.882728758E+00 --0.885235412E+00-0.887748680E+00-0.890268589E+00-0.892795137E+00-0.895328611E+00 --0.897868976E+00-0.900416661E+00-0.902971517E+00-0.905533545E+00-0.908103773E+00 --0.910681581E+00-0.913266922E+00-0.915860526E+00-0.918462391E+00-0.921072519E+00 --0.923691121E+00-0.926318203E+00-0.928953691E+00-0.931598125E+00-0.934251653E+00 --0.936914332E+00-0.939586064E+00-0.942267035E+00-0.944957602E+00-0.947657655E+00 --0.950367142E+00-0.953086343E+00-0.955815813E+00-0.958555266E+00-0.961304452E+00 --0.964063652E+00-0.966833289E+00-0.969613364E+00-0.972404179E+00-0.975205137E+00 --0.978016930E+00-0.980839548E+00-0.983672854E+00-0.986517216E+00-0.989372642E+00 --0.992239019E+00-0.995116457E+00-0.998004986E+00-0.100090498E+01-0.100381623E+01 --0.100673896E+01-0.100967328E+01-0.101261914E+01-0.101557670E+01-0.101854602E+01 --0.102152694E+01-0.102451958E+01-0.102752394E+01-0.103054024E+01-0.103356897E+01 --0.103660985E+01-0.103966236E+01-0.104272650E+01-0.104580228E+01-0.104888968E+01 --0.824069897E+00-0.823709435E+00-0.823333759E+00-0.822942869E+00-0.822536753E+00 --0.822115508E+00-0.821679139E+00-0.821227646E+00-0.820761030E+00-0.820279289E+00 --0.819782425E+00-0.819268532E+00-0.818738012E+00-0.818191334E+00-0.817628345E+00 --0.817048831E+00-0.816452591E+00-0.815839651E+00-0.815209968E+00-0.814563183E+00 --0.813899295E+00-0.813218306E+00-0.812520139E+00-0.811804419E+00-0.811070983E+00 --0.810319848E+00-0.809551015E+00-0.808764484E+00-0.807960079E+00-0.807137152E+00 --0.806295673E+00-0.805435925E+00-0.804557913E+00-0.803661635E+00-0.802746551E+00 --0.801812341E+00-0.800859003E+00-0.799886538E+00-0.798894946E+00-0.797884174E+00 --0.796853709E+00-0.795803773E+00-0.794734515E+00-0.793645935E+00-0.792537961E+00 --0.791410326E+00-0.790265423E+00-0.789102833E+00-0.787922555E+00-0.786724589E+00 --0.785510605E+00-0.784281223E+00-0.783036434E+00-0.781775884E+00-0.780501631E+00 --0.779214692E+00-0.777915284E+00-0.776604189E+00-0.775281406E+00-0.773947170E+00 --0.772602512E+00-0.771250045E+00-0.769890306E+00-0.768523295E+00-0.767148943E+00 --0.765767747E+00-0.764383073E+00-0.762995298E+00-0.761604420E+00-0.760210329E+00 --0.758813288E+00-0.757416219E+00-0.756019865E+00-0.754625371E+00-0.753232738E+00 --0.751841967E+00-0.750455002E+00-0.749073427E+00-0.747697407E+00-0.746326942E+00 --0.744962825E+00-0.743607188E+00-0.742260464E+00-0.740922526E+00-0.739595469E+00 --0.738280145E+00-0.736976555E+00-0.735685094E+00-0.734406780E+00-0.733142836E+00 --0.731894379E+00-0.730661401E+00-0.729443974E+00-0.728243942E+00-0.727061780E+00 --0.725898717E+00-0.724754451E+00-0.723628612E+00-0.722522298E+00-0.721438561E+00 --0.720377400E+00-0.719338817E+00-0.718322809E+00-0.717329261E+00-0.716358221E+00 --0.715411083E+00-0.714490515E+00-0.713595977E+00-0.712727402E+00-0.711884790E+00 --0.711068434E+00-0.710280317E+00-0.709520783E+00-0.708789806E+00-0.708087328E+00 --0.707413448E+00-0.706769916E+00-0.706157174E+00-0.705575223E+00-0.705024317E+00 --0.704504327E+00-0.704016677E+00-0.703561534E+00-0.703139291E+00-0.702749962E+00 --0.702393897E+00-0.702072412E+00-0.701785609E+00-0.701533490E+00-0.701315948E+00 --0.701134335E+00-0.700988893E+00-0.700879649E+00-0.700806516E+00-0.700770537E+00 --0.700772641E+00-0.700812827E+00-0.700891095E+00-0.701007446E+00-0.701162282E+00 --0.701356803E+00-0.701591345E+00-0.701865908E+00-0.702180493E+00-0.702535447E+00 --0.702931756E+00-0.703369080E+00-0.703848239E+00-0.704369758E+00-0.704933638E+00 --0.705539880E+00-0.706188591E+00-0.706880825E+00-0.707615907E+00-0.708395050E+00 --0.709218416E+00-0.710086006E+00-0.710997820E+00-0.711953857E+00-0.712954313E+00 --0.714000085E+00-0.715090407E+00-0.716225720E+00-0.717406023E+00-0.718631302E+00 --0.719901959E+00-0.721217323E+00-0.722577249E+00-0.723981737E+00-0.725430787E+00 --0.726924458E+00-0.728462141E+00-0.730042694E+00-0.731666118E+00-0.733332412E+00 --0.735041675E+00-0.736794398E+00-0.738587052E+00-0.740418207E+00-0.742287970E+00 --0.744196376E+00-0.746143424E+00-0.748128875E+00-0.750149193E+00-0.752203316E+00 --0.754289265E+00-0.756407042E+00-0.758556543E+00-0.760734205E+00-0.762938306E+00 --0.765168847E+00-0.767424425E+00-0.769700588E+00-0.771996061E+00-0.774309292E+00 --0.776640374E+00-0.778988520E+00-0.781346453E+00-0.783712423E+00-0.786086429E+00 --0.788468466E+00-0.790857200E+00-0.793245522E+00-0.795633682E+00-0.798021304E+00 --0.800408194E+00-0.802794853E+00-0.805181298E+00-0.807568726E+00-0.809955444E+00 --0.812343453E+00-0.814731610E+00-0.817119837E+00-0.819510560E+00-0.821901376E+00 --0.824294151E+00-0.826688886E+00-0.829085655E+00-0.831485033E+00-0.833886973E+00 --0.836291444E+00-0.838698621E+00-0.841108358E+00-0.843521948E+00-0.845939417E+00 --0.848360583E+00-0.850785445E+00-0.853214003E+00-0.855646640E+00-0.858084448E+00 --0.860526134E+00-0.862972993E+00-0.865425245E+00-0.867882891E+00-0.870345674E+00 --0.872813330E+00-0.875287238E+00-0.877767050E+00-0.880252843E+00-0.882744697E+00 --0.885242865E+00-0.887747695E+00-0.890259165E+00-0.892777586E+00-0.895303133E+00 --0.897835451E+00-0.900375307E+00-0.902922723E+00-0.905477699E+00-0.908040311E+00 --0.910610716E+00-0.913189401E+00-0.915776365E+00-0.918371610E+00-0.920975134E+00 --0.923586938E+00-0.926207363E+00-0.928836894E+00-0.931475499E+00-0.934123176E+00 --0.936779925E+00-0.939445935E+00-0.942121653E+00-0.944806821E+00-0.947501439E+00 --0.950205585E+00-0.952919862E+00-0.955644379E+00-0.958379168E+00-0.961124037E+00 --0.963879194E+00-0.966644650E+00-0.969420474E+00-0.972207345E+00-0.975004890E+00 --0.977813123E+00-0.980632044E+00-0.983461699E+00-0.986302728E+00-0.989155241E+00 --0.992018809E+00-0.994893439E+00-0.997779338E+00-0.100067695E+01-0.100358619E+01 --0.100650715E+01-0.100943953E+01-0.101238369E+01-0.101533965E+01-0.101830749E+01 --0.102128738E+01-0.102427899E+01-0.102728247E+01-0.103029816E+01-0.103332607E+01 --0.103636719E+01-0.103941995E+01-0.104248434E+01-0.104555981E+01-0.104864784E+01 --0.824768765E+00-0.824413366E+00-0.824042753E+00-0.823656926E+00-0.823255886E+00 --0.822839632E+00-0.822408164E+00-0.821961448E+00-0.821499561E+00-0.821022551E+00 --0.820530417E+00-0.820021465E+00-0.819495927E+00-0.818954163E+00-0.818396011E+00 --0.817821533E+00-0.817230411E+00-0.816622792E+00-0.815998615E+00-0.815357420E+00 --0.814699123E+00-0.814023680E+00-0.813331066E+00-0.812621433E+00-0.811894113E+00 --0.811149083E+00-0.810386360E+00-0.809606230E+00-0.808808062E+00-0.807991754E+00 --0.807157482E+00-0.806305074E+00-0.805434403E+00-0.804545469E+00-0.803638391E+00 --0.802712477E+00-0.801767435E+00-0.800803266E+00-0.799820179E+00-0.798818508E+00 --0.797798252E+00-0.796758520E+00-0.795699357E+00-0.794620864E+00-0.793523292E+00 --0.792406605E+00-0.791271826E+00-0.790119193E+00-0.788948705E+00-0.787760127E+00 --0.786555085E+00-0.785335304E+00-0.784100115E+00-0.782849521E+00-0.781583173E+00 --0.780304655E+00-0.779014407E+00-0.777712431E+00-0.776398725E+00-0.775073259E+00 --0.773735653E+00-0.772389742E+00-0.771036732E+00-0.769676426E+00-0.768308895E+00 --0.766933982E+00-0.765554785E+00-0.764172573E+00-0.762786863E+00-0.761397656E+00 --0.760006338E+00-0.758614681E+00-0.757222428E+00-0.755831303E+00-0.754442039E+00 --0.753055189E+00-0.751671716E+00-0.750292386E+00-0.748918608E+00-0.747550389E+00 --0.746188915E+00-0.744835095E+00-0.743489115E+00-0.742151730E+00-0.740825646E+00 --0.739511296E+00-0.738208596E+00-0.736917450E+00-0.735638091E+00-0.734373593E+00 --0.733124581E+00-0.731891054E+00-0.730673012E+00-0.729470716E+00-0.728286848E+00 --0.727121719E+00-0.725975331E+00-0.724847570E+00-0.723738443E+00-0.722651893E+00 --0.721587920E+00-0.720546523E+00-0.719527704E+00-0.718531481E+00-0.717557849E+00 --0.716606807E+00-0.715682020E+00-0.714783549E+00-0.713911187E+00-0.713064789E+00 --0.712244480E+00-0.711452147E+00-0.710688398E+00-0.709953231E+00-0.709246648E+00 --0.708568640E+00-0.707920618E+00-0.707303424E+00-0.706716936E+00-0.706161156E+00 --0.705636414E+00-0.705144125E+00-0.704684444E+00-0.704257394E+00-0.703863006E+00 --0.703502661E+00-0.703176781E+00-0.702885219E+00-0.702627978E+00-0.702405574E+00 --0.702219243E+00-0.702068990E+00-0.701954975E+00-0.701876965E+00-0.701836403E+00 --0.701833923E+00-0.701869408E+00-0.701942773E+00-0.702054016E+00-0.702204088E+00 --0.702394006E+00-0.702623705E+00-0.702893251E+00-0.703202749E+00-0.703553060E+00 --0.703944636E+00-0.704377476E+00-0.704851638E+00-0.705368135E+00-0.705926993E+00 --0.706528292E+00-0.707172459E+00-0.707859555E+00-0.708589625E+00-0.709363588E+00 --0.710181774E+00-0.711044216E+00-0.711950698E+00-0.712901117E+00-0.713896266E+00 --0.714936229E+00-0.716020704E+00-0.717149974E+00-0.718324235E+00-0.719543567E+00 --0.720807739E+00-0.722116336E+00-0.723469405E+00-0.724867142E+00-0.726309441E+00 --0.727796373E+00-0.729326446E+00-0.730899405E+00-0.732515270E+00-0.734173540E+00 --0.735874213E+00-0.737617388E+00-0.739400316E+00-0.741222229E+00-0.743083160E+00 --0.744982734E+00-0.746920881E+00-0.748894603E+00-0.750902412E+00-0.752944308E+00 --0.755019956E+00-0.757127971E+00-0.759265485E+00-0.761429438E+00-0.763619831E+00 --0.765836722E+00-0.768079638E+00-0.770342314E+00-0.772622868E+00-0.774921301E+00 --0.777237612E+00-0.779570697E+00-0.781912942E+00-0.784263198E+00-0.786621466E+00 --0.788987745E+00-0.791358715E+00-0.793730552E+00-0.796102392E+00-0.798473537E+00 --0.800844450E+00-0.803215364E+00-0.805585792E+00-0.807955714E+00-0.810326682E+00 --0.812698943E+00-0.815072495E+00-0.817447538E+00-0.819824012E+00-0.822201368E+00 --0.824580488E+00-0.826961374E+00-0.829344918E+00-0.831730781E+00-0.834119391E+00 --0.836511252E+00-0.838905855E+00-0.841303272E+00-0.843704527E+00-0.846109827E+00 --0.848519173E+00-0.850932570E+00-0.853349987E+00-0.855771885E+00-0.858198334E+00 --0.860629387E+00-0.863065661E+00-0.865507328E+00-0.867954389E+00-0.870406874E+00 --0.872865210E+00-0.875329109E+00-0.877799115E+00-0.880275625E+00-0.882758257E+00 --0.885247491E+00-0.887743633E+00-0.890246207E+00-0.892755897E+00-0.895272704E+00 --0.897796944E+00-0.900328820E+00-0.902868294E+00-0.905415335E+00-0.907969813E+00 --0.910532720E+00-0.913104144E+00-0.915683813E+00-0.918271762E+00-0.920867991E+00 --0.923472673E+00-0.926086660E+00-0.928709892E+00-0.931342114E+00-0.933983408E+00 --0.936633774E+00-0.939293619E+00-0.941963359E+00-0.944642980E+00-0.947332164E+00 --0.950031181E+00-0.952740496E+00-0.955459769E+00-0.958189405E+00-0.960929481E+00 --0.963679988E+00-0.966440769E+00-0.969212208E+00-0.971994656E+00-0.974788113E+00 --0.977592643E+00-0.980407866E+00-0.983233937E+00-0.986071487E+00-0.988920548E+00 --0.991781145E+00-0.994652984E+00-0.997536399E+00-0.100043155E+01-0.100333858E+01 --0.100625699E+01-0.100918731E+01-0.101212970E+01-0.101508404E+01-0.101805022E+01 --0.102102881E+01-0.102401924E+01-0.102702190E+01-0.103003677E+01-0.103306387E+01 --0.103610524E+01-0.103915710E+01-0.104222093E+01-0.104529740E+01-0.104838651E+01 --0.825509587E+00-0.825159251E+00-0.824793701E+00-0.824412938E+00-0.824016961E+00 --0.823605770E+00-0.823179365E+00-0.822737747E+00-0.822280915E+00-0.821808869E+00 --0.821321584E+00-0.820817572E+00-0.820297060E+00-0.819760464E+00-0.819207711E+00 --0.818638486E+00-0.818052776E+00-0.817450569E+00-0.816831862E+00-0.816196257E+00 --0.815543561E+00-0.814873956E+00-0.814187275E+00-0.813483533E+00-0.812762318E+00 --0.812023578E+00-0.811267393E+00-0.810493763E+00-0.809702529E+00-0.808893322E+00 --0.808066132E+00-0.807220958E+00-0.806357800E+00-0.805476659E+00-0.804576922E+00 --0.803659238E+00-0.802722548E+00-0.801767273E+00-0.800793414E+00-0.799800970E+00 --0.798789942E+00-0.797760330E+00-0.796711317E+00-0.795643187E+00-0.794556310E+00 --0.793450427E+00-0.792326533E+00-0.791184784E+00-0.790024969E+00-0.788847273E+00 --0.787652836E+00-0.786442604E+00-0.785216831E+00-0.783975846E+00-0.782719052E+00 --0.781449302E+00-0.780167823E+00-0.778874696E+00-0.777569624E+00-0.776252410E+00 --0.774924749E+00-0.773587239E+00-0.772241455E+00-0.770888364E+00-0.769528242E+00 --0.768161029E+00-0.766788597E+00-0.765411885E+00-0.764030893E+00-0.762646533E+00 --0.761260850E+00-0.759874571E+00-0.758487694E+00-0.757100219E+00-0.755714102E+00 --0.754331313E+00-0.752951646E+00-0.751575175E+00-0.750203639E+00-0.748837723E+00 --0.747478891E+00-0.746127713E+00-0.744784205E+00-0.743448217E+00-0.742122595E+00 --0.740808469E+00-0.739505901E+00-0.738214893E+00-0.736935520E+00-0.735670431E+00 --0.734420827E+00-0.733186694E+00-0.731967694E+00-0.730764140E+00-0.729578742E+00 --0.728411916E+00-0.727263661E+00-0.726133974E+00-0.725022099E+00-0.723932507E+00 --0.722865504E+00-0.721821092E+00-0.720799270E+00-0.719800038E+00-0.718823397E+00 --0.717869346E+00-0.716940045E+00-0.716037614E+00-0.715161262E+00-0.714310989E+00 --0.713486793E+00-0.712690244E+00-0.711922265E+00-0.711182718E+00-0.710471594E+00 --0.709788893E+00-0.709136117E+00-0.708514004E+00-0.707922642E+00-0.707361987E+00 --0.706832522E+00-0.706335594E+00-0.705871259E+00-0.705439357E+00-0.705039980E+00 --0.704674526E+00-0.704343426E+00-0.704046665E+00-0.703784203E+00-0.703556999E+00 --0.703365864E+00-0.703210785E+00-0.703091684E+00-0.703008510E+00-0.702962995E+00 --0.702955362E+00-0.702985608E+00-0.703053733E+00-0.703159767E+00-0.703304982E+00 --0.703489978E+00-0.703714728E+00-0.703979141E+00-0.704283251E+00-0.704628385E+00 --0.705014929E+00-0.705442882E+00-0.705912244E+00-0.706423016E+00-0.706976272E+00 --0.707572318E+00-0.708211279E+00-0.708893158E+00-0.709617999E+00-0.710386675E+00 --0.711199225E+00-0.712055711E+00-0.712956133E+00-0.713900627E+00-0.714889784E+00 --0.715923479E+00-0.717001710E+00-0.718124554E+00-0.719292772E+00-0.720505632E+00 --0.721762873E+00-0.723064541E+00-0.724410635E+00-0.725801137E+00-0.727236331E+00 --0.728716019E+00-0.730237991E+00-0.731802358E+00-0.733409130E+00-0.735058305E+00 --0.736749885E+00-0.738483676E+00-0.740257125E+00-0.742069451E+00-0.743920666E+00 --0.745810202E+00-0.747737477E+00-0.749699103E+00-0.751694935E+00-0.753724973E+00 --0.755789101E+00-0.757885555E+00-0.760009375E+00-0.762159502E+00-0.764336061E+00 --0.766539051E+00-0.768767379E+00-0.771014619E+00-0.773279738E+00-0.775562844E+00 --0.777864135E+00-0.780179243E+00-0.782504926E+00-0.784839291E+00-0.787181667E+00 --0.789529781E+00-0.791881653E+00-0.794236864E+00-0.796592309E+00-0.798946678E+00 --0.801300468E+00-0.803653754E+00-0.806006690E+00-0.808360617E+00-0.810715836E+00 --0.813072182E+00-0.815429812E+00-0.817789179E+00-0.820150284E+00-0.822513113E+00 --0.824877698E+00-0.827244278E+00-0.829613612E+00-0.831985711E+00-0.834360567E+00 --0.836738733E+00-0.839120207E+00-0.841505273E+00-0.843894249E+00-0.846286975E+00 --0.848683599E+00-0.851084122E+00-0.853489242E+00-0.855899468E+00-0.858314800E+00 --0.860734595E+00-0.863160152E+00-0.865590730E+00-0.868026936E+00-0.870468807E+00 --0.872916346E+00-0.875369656E+00-0.877829504E+00-0.880295920E+00-0.882768921E+00 --0.885248790E+00-0.887735235E+00-0.890228754E+00-0.892729364E+00-0.895237066E+00 --0.897752558E+00-0.900275874E+00-0.902806758E+00-0.905345208E+00-0.907891379E+00 --0.910446111E+00-0.913009489E+00-0.915581513E+00-0.918162129E+00-0.920751040E+00 --0.923348658E+00-0.925955526E+00-0.928571645E+00-0.931197016E+00-0.933831818E+00 --0.936475777E+00-0.939129455E+00-0.941793029E+00-0.944466497E+00-0.947149837E+00 --0.949843081E+00-0.952546706E+00-0.955260735E+00-0.957985129E+00-0.960719886E+00 --0.963465426E+00-0.966221430E+00-0.968988443E+00-0.971766464E+00-0.974555494E+00 --0.977355532E+00-0.980166859E+00-0.982989422E+00-0.985823494E+00-0.988669076E+00 --0.991526167E+00-0.994395163E+00-0.997275702E+00-0.100016803E+01-0.100307215E+01 --0.100598820E+01-0.100891631E+01-0.101185649E+01-0.101480880E+01-0.101777381E+01 --0.102075094E+01-0.102374026E+01-0.102674189E+01-0.102975582E+01-0.103278256E+01 --0.103582103E+01-0.103887303E+01-0.104193794E+01-0.104501550E+01-0.104810570E+01 --0.826292364E+00-0.825947091E+00-0.825586604E+00-0.825210904E+00-0.824819990E+00 --0.824413862E+00-0.823992520E+00-0.823555995E+00-0.823104380E+00-0.822637644E+00 --0.822155788E+00-0.821657013E+00-0.821141894E+00-0.820610728E+00-0.820063482E+00 --0.819499834E+00-0.818919656E+00-0.818322948E+00-0.817709668E+00-0.817079694E+00 --0.816432980E+00-0.815769281E+00-0.815088547E+00-0.814390910E+00-0.813675972E+00 --0.812943664E+00-0.812193978E+00-0.811426864E+00-0.810642743E+00-0.809840638E+00 --0.809020550E+00-0.808182575E+00-0.807326854E+00-0.806453389E+00-0.805561770E+00 --0.804652319E+00-0.803724798E+00-0.802778707E+00-0.801814046E+00-0.800830814E+00 --0.799829011E+00-0.798808993E+00-0.797770358E+00-0.796712803E+00-0.795636486E+00 --0.794541416E+00-0.793428406E+00-0.792297467E+00-0.791148826E+00-0.789982440E+00 --0.788799221E+00-0.787600206E+00-0.786385396E+00-0.785154791E+00-0.783907982E+00 --0.782647772E+00-0.781375541E+00-0.780091166E+00-0.778794649E+00-0.777486487E+00 --0.776168250E+00-0.774840037E+00-0.773502151E+00-0.772156628E+00-0.770803864E+00 --0.769443898E+00-0.768078991E+00-0.766709804E+00-0.765336051E+00-0.763957140E+00 --0.762577105E+00-0.761196423E+00-0.759815095E+00-0.758433120E+00-0.757050304E+00 --0.755670753E+00-0.754294465E+00-0.752921716E+00-0.751552498E+00-0.750188944E+00 --0.748832608E+00-0.747483720E+00-0.746142343E+00-0.744808477E+00-0.743483732E+00 --0.742170335E+00-0.740868300E+00-0.739577614E+00-0.738298296E+00-0.737032752E+00 --0.735782619E+00-0.734547515E+00-0.733327440E+00-0.732122656E+00-0.730935783E+00 --0.729767480E+00-0.728617458E+00-0.727485768E+00-0.726372762E+00-0.725280842E+00 --0.724210151E+00-0.723161971E+00-0.722136530E+00-0.721133827E+00-0.720153862E+00 --0.719196635E+00-0.718264080E+00-0.717357692E+00-0.716477261E+00-0.715622786E+00 --0.714794464E+00-0.713993704E+00-0.713220877E+00-0.712476426E+00-0.711760397E+00 --0.711072894E+00-0.710415489E+00-0.709788663E+00-0.709192416E+00-0.708626811E+00 --0.708092583E+00-0.707590558E+00-0.707120986E+00-0.706683866E+00-0.706279240E+00 --0.705908480E+00-0.705572076E+00-0.705270232E+00-0.705003188E+00-0.704770453E+00 --0.704573643E+00-0.704413196E+00-0.704288714E+00-0.704200237E+00-0.704149126E+00 --0.704136030E+00-0.704160949E+00-0.704223843E+00-0.704324730E+00-0.704464693E+00 --0.704644297E+00-0.704863587E+00-0.705122561E+00-0.705421266E+00-0.705760910E+00 --0.706141964E+00-0.706564513E+00-0.707028346E+00-0.707533839E+00-0.708081821E+00 --0.708671861E+00-0.709304817E+00-0.709980690E+00-0.710699681E+00-0.711462399E+00 --0.712268883E+00-0.713119241E+00-0.714013603E+00-0.714951980E+00-0.715934869E+00 --0.716962295E+00-0.718034259E+00-0.719150604E+00-0.720311708E+00-0.721517597E+00 --0.722767621E+00-0.724061822E+00-0.725400200E+00-0.726782754E+00-0.728209872E+00 --0.729680395E+00-0.731193488E+00-0.732748989E+00-0.734346796E+00-0.735986911E+00 --0.737669332E+00-0.739393569E+00-0.741158205E+00-0.742959622E+00-0.744798935E+00 --0.746676143E+00-0.748591153E+00-0.750541470E+00-0.752525994E+00-0.754544460E+00 --0.756594523E+00-0.758675847E+00-0.760785429E+00-0.762921185E+00-0.765083618E+00 --0.767272627E+00-0.769486124E+00-0.771717808E+00-0.773966755E+00-0.776233616E+00 --0.778517973E+00-0.780814463E+00-0.783122000E+00-0.785440172E+00-0.787765329E+00 --0.790094460E+00-0.792427524E+00-0.794764319E+00-0.797099961E+00-0.799436609E+00 --0.801772754E+00-0.804108396E+00-0.806445256E+00-0.808782471E+00-0.811120332E+00 --0.813459931E+00-0.815801268E+00-0.818144342E+00-0.820489154E+00-0.822835703E+00 --0.825185136E+00-0.827536997E+00-0.829891657E+00-0.832249115E+00-0.834609879E+00 --0.836974253E+00-0.839341784E+00-0.841713193E+00-0.844088509E+00-0.846468143E+00 --0.848851676E+00-0.851239308E+00-0.853631963E+00-0.856029725E+00-0.858432788E+00 --0.860841186E+00-0.863254884E+00-0.865673778E+00-0.868098509E+00-0.870529210E+00 --0.872965871E+00-0.875408437E+00-0.877857754E+00-0.880313630E+00-0.882776339E+00 --0.885245883E+00-0.887722264E+00-0.890206123E+00-0.892697073E+00-0.895195205E+00 --0.897701305E+00-0.900215375E+00-0.902737425E+00-0.905267284E+00-0.907805180E+00 --0.910351737E+00-0.912906939E+00-0.915470751E+00-0.918043135E+00-0.920624242E+00 --0.923214558E+00-0.925814094E+00-0.928422885E+00-0.931040930E+00-0.933668258E+00 --0.936305601E+00-0.938952849E+00-0.941609922E+00-0.944276820E+00-0.946953692E+00 --0.949641186E+00-0.952339017E+00-0.955047224E+00-0.957765891E+00-0.960495017E+00 --0.963235229E+00-0.965986551E+00-0.968748810E+00-0.971522063E+00-0.974306310E+00 --0.977101782E+00-0.979909183E+00-0.982727856E+00-0.985558039E+00-0.988399731E+00 --0.991252938E+00-0.994118168E+00-0.996995738E+00-0.999885158E+00-0.100278637E+01 --0.100570004E+01-0.100862595E+01-0.101156379E+01-0.101451419E+01-0.101747721E+01 --0.102045290E+01-0.102344101E+01-0.102644149E+01-0.102945479E+01-0.103248097E+01 --0.103551925E+01-0.103857073E+01-0.104163542E+01-0.104471332E+01-0.104780444E+01 --0.827117095E+00-0.826776885E+00-0.826421461E+00-0.826050852E+00-0.825665130E+00 --0.825264286E+00-0.824848321E+00-0.824417236E+00-0.823971030E+00-0.823509702E+00 --0.823033254E+00-0.822540089E+00-0.822030443E+00-0.821504708E+00-0.820962968E+00 --0.820404936E+00-0.819830374E+00-0.819239282E+00-0.818631708E+00-0.818007740E+00 --0.817366801E+00-0.816709117E+00-0.816034531E+00-0.815343042E+00-0.814634594E+00 --0.813908825E+00-0.813165690E+00-0.812405555E+00-0.811627840E+00-0.810832732E+00 --0.810020189E+00-0.809189902E+00-0.808341870E+00-0.807476036E+00-0.806592467E+00 --0.805691169E+00-0.804772161E+00-0.803835226E+00-0.802879736E+00-0.801906015E+00 --0.800914197E+00-0.799904281E+00-0.798875725E+00-0.797829279E+00-0.796763820E+00 --0.795679571E+00-0.794577617E+00-0.793458010E+00-0.792320747E+00-0.791165629E+00 --0.789993627E+00-0.788805830E+00-0.787602185E+00-0.786382998E+00-0.785148582E+00 --0.783899192E+00-0.782636803E+00-0.781361822E+00-0.780073924E+00-0.778774684E+00 --0.777465681E+00-0.776146914E+00-0.774818385E+00-0.773480391E+00-0.772134829E+00 --0.770782140E+00-0.769424758E+00-0.768062964E+00-0.766696075E+00-0.765324118E+00 --0.763950003E+00-0.762575243E+00-0.761199822E+00-0.759823295E+00-0.758445991E+00 --0.757071399E+00-0.755699774E+00-0.754331116E+00-0.752965188E+00-0.751603344E+00 --0.750249044E+00-0.748902281E+00-0.747563029E+00-0.746231288E+00-0.744907590E+00 --0.743595056E+00-0.742293884E+00-0.741004195E+00-0.739726259E+00-0.738460543E+00 --0.737209537E+00-0.735973467E+00-0.734752338E+00-0.733546253E+00-0.732357681E+00 --0.731187453E+00-0.730035570E+00-0.728902032E+00-0.727786839E+00-0.726692426E+00 --0.725619612E+00-0.724568355E+00-0.723538945E+00-0.722532300E+00-0.721548393E+00 --0.720588320E+00-0.719652985E+00-0.718742370E+00-0.717857382E+00-0.716998431E+00 --0.716165722E+00-0.715360687E+00-0.714583478E+00-0.713834095E+00-0.713112948E+00 --0.712420630E+00-0.711758552E+00-0.711127173E+00-0.710526163E+00-0.709955467E+00 --0.709415492E+00-0.708907947E+00-0.708432998E+00-0.707990645E+00-0.707580795E+00 --0.707204288E+00-0.706862211E+00-0.706554883E+00-0.706282307E+00-0.706044481E+00 --0.705841834E+00-0.705675468E+00-0.705545436E+00-0.705451709E+00-0.705394869E+00 --0.705376231E+00-0.705395593E+00-0.705452953E+00-0.705548312E+00-0.705682204E+00 --0.705855917E+00-0.706069459E+00-0.706322830E+00-0.706616093E+00-0.706950219E+00 --0.707325426E+00-0.707741820E+00-0.708199401E+00-0.708698996E+00-0.709240810E+00 --0.709824928E+00-0.710451878E+00-0.711121614E+00-0.711834464E+00-0.712591080E+00 --0.713391463E+00-0.714235494E+00-0.715123124E+00-0.716055079E+00-0.717031140E+00 --0.718051529E+00-0.719116249E+00-0.720225596E+00-0.721379404E+00-0.722577165E+00 --0.723819069E+00-0.725105132E+00-0.726435491E+00-0.727810052E+00-0.729228459E+00 --0.730689522E+00-0.732193146E+00-0.733739330E+00-0.735328312E+00-0.736959664E+00 --0.738632252E+00-0.740344466E+00-0.742096766E+00-0.743887608E+00-0.745715235E+00 --0.747579647E+00-0.749482390E+00-0.751421748E+00-0.753394497E+00-0.755398610E+00 --0.757433768E+00-0.759500014E+00-0.761595188E+00-0.763716535E+00-0.765864057E+00 --0.768037665E+00-0.770233903E+00-0.772448420E+00-0.774680852E+00-0.776931199E+00 --0.779198001E+00-0.781476260E+00-0.783765351E+00-0.786064649E+00-0.788370862E+00 --0.790681022E+00-0.792995061E+00-0.795311367E+00-0.797627617E+00-0.799944092E+00 --0.802261391E+00-0.804578995E+00-0.806897393E+00-0.809217210E+00-0.811538444E+00 --0.813861097E+00-0.816185169E+00-0.818510658E+00-0.820838441E+00-0.823169514E+00 --0.825502998E+00-0.827839551E+00-0.830178823E+00-0.832521109E+00-0.834866389E+00 --0.837215414E+00-0.839568718E+00-0.841925967E+00-0.844287093E+00-0.846652671E+00 --0.849023088E+00-0.851398173E+00-0.853777938E+00-0.856162795E+00-0.858552788E+00 --0.860947919E+00-0.863348705E+00-0.865755761E+00-0.868168907E+00-0.870587978E+00 --0.873013019E+00-0.875444690E+00-0.877882988E+00-0.880327728E+00-0.882779567E+00 --0.885238506E+00-0.887704543E+00-0.890177678E+00-0.892658483E+00-0.895147237E+00 --0.897643908E+00-0.900148497E+00-0.902661003E+00-0.905181427E+00-0.907710524E+00 --0.910248442E+00-0.912794944E+00-0.915350032E+00-0.917913706E+00-0.920486299E+00 --0.923068512E+00-0.925660357E+00-0.928261564E+00-0.930872027E+00-0.933491886E+00 --0.936121848E+00-0.938761994E+00-0.941412322E+00-0.944072607E+00-0.946742896E+00 --0.949423805E+00-0.952115353E+00-0.954817687E+00-0.957530562E+00-0.960253933E+00 --0.962988453E+00-0.965734329E+00-0.968491561E+00-0.971259917E+00-0.974039278E+00 --0.976830141E+00-0.979632779E+00-0.982447245E+00-0.985273419E+00-0.988111102E+00 --0.990960471E+00-0.993822137E+00-0.996696150E+00-0.999582508E+00-0.100248121E+01 --0.100539196E+01-0.100831514E+01-0.101125093E+01-0.101419934E+01-0.101716036E+01 --0.102013404E+01-0.102312059E+01-0.102612003E+01-0.102913234E+01-0.103215753E+01 --0.103519561E+01-0.103824690E+01-0.104131139E+01-0.104438910E+01-0.104748002E+01 --0.827983899E+00-0.827648948E+00-0.827298875E+00-0.826933682E+00-0.826553367E+00 --0.826157932E+00-0.825747376E+00-0.825321699E+00-0.824880901E+00-0.824424982E+00 --0.823953942E+00-0.823466387E+00-0.822962415E+00-0.822442358E+00-0.821906169E+00 --0.821353748E+00-0.820784867E+00-0.820199590E+00-0.819597919E+00-0.818979853E+00 --0.818345082E+00-0.817693482E+00-0.817025081E+00-0.816339757E+00-0.815637625E+00 --0.814918420E+00-0.814182133E+00-0.813428809E+00-0.812658163E+00-0.811870087E+00 --0.811064581E+00-0.810241798E+00-0.809401713E+00-0.808544104E+00-0.807668772E+00 --0.806775718E+00-0.805864933E+00-0.804936332E+00-0.803990262E+00-0.803026296E+00 --0.802044232E+00-0.801044186E+00-0.800026374E+00-0.798990684E+00-0.797937252E+00 --0.796864769E+00-0.795774667E+00-0.794666617E+00-0.793540731E+00-0.792396838E+00 --0.791235473E+00-0.790058593E+00-0.788866484E+00-0.787659146E+00-0.786436579E+00 --0.785198784E+00-0.783946467E+00-0.782681689E+00-0.781403592E+00-0.780114773E+00 --0.778815929E+00-0.777507058E+00-0.776188160E+00-0.774859360E+00-0.773521139E+00 --0.772176088E+00-0.770826531E+00-0.769471845E+00-0.768112031E+00-0.766747020E+00 --0.765378827E+00-0.764010183E+00-0.762640690E+00-0.761269889E+00-0.759898096E+00 --0.758528463E+00-0.757161798E+00-0.755797812E+00-0.754435963E+00-0.753077699E+00 --0.751726508E+00-0.750382596E+00-0.749045962E+00-0.747716607E+00-0.746394542E+00 --0.745082312E+00-0.743781796E+00-0.742492918E+00-0.741215678E+00-0.739950184E+00 --0.738698720E+00-0.737462192E+00-0.736240534E+00-0.735034397E+00-0.733844391E+00 --0.732671871E+00-0.731517809E+00-0.730382204E+00-0.729265057E+00-0.728168077E+00 --0.727092782E+00-0.726039046E+00-0.725006868E+00-0.723996189E+00-0.723007629E+00 --0.722043777E+00-0.721104904E+00-0.720190840E+00-0.719301497E+00-0.718437757E+00 --0.717600621E+00-0.716791310E+00-0.716009839E+00-0.715255995E+00-0.714529867E+00 --0.713832425E+00-0.713165096E+00-0.712528204E+00-0.711921625E+00-0.711345361E+00 --0.710799862E+00-0.710286802E+00-0.709806337E+00-0.709358468E+00-0.708943523E+00 --0.708561194E+00-0.708212771E+00-0.707899552E+00-0.707621435E+00-0.707378076E+00 --0.707169467E+00-0.706997057E+00-0.706861183E+00-0.706761526E+00-0.706699071E+00 --0.706674582E+00-0.706688056E+00-0.706739566E+00-0.706829088E+00-0.706956819E+00 --0.707124409E+00-0.707331829E+00-0.707579143E+00-0.707866733E+00-0.708194636E+00 --0.708563437E+00-0.708973579E+00-0.709424932E+00-0.709918291E+00-0.710453864E+00 --0.711031653E+00-0.711652464E+00-0.712315597E+00-0.713022365E+00-0.713772566E+00 --0.714565929E+00-0.715402484E+00-0.716283075E+00-0.717207811E+00-0.718176693E+00 --0.719189721E+00-0.720247077E+00-0.721348640E+00-0.722494112E+00-0.723683602E+00 --0.724917311E+00-0.726195179E+00-0.727517205E+00-0.728883122E+00-0.730292033E+00 --0.731743533E+00-0.733237612E+00-0.734774269E+00-0.736353504E+00-0.737974294E+00 --0.739634758E+00-0.741334899E+00-0.743074708E+00-0.744854245E+00-0.746671115E+00 --0.748524784E+00-0.750414523E+00-0.752339096E+00-0.754297200E+00-0.756286444E+00 --0.758306776E+00-0.760358132E+00-0.762438691E+00-0.764544734E+00-0.766676100E+00 --0.768832767E+00-0.771010290E+00-0.773206439E+00-0.775421214E+00-0.777654857E+00 --0.779903891E+00-0.782162443E+00-0.784431058E+00-0.786709844E+00-0.788996977E+00 --0.791288017E+00-0.793581199E+00-0.795876091E+00-0.798172412E+00-0.800469294E+00 --0.802766618E+00-0.805064928E+00-0.807364946E+00-0.809666554E+00-0.811969580E+00 --0.814274025E+00-0.816580139E+00-0.818888605E+00-0.821199381E+00-0.823512437E+00 --0.825828750E+00-0.828148732E+00-0.830472328E+00-0.832798955E+00-0.835128669E+00 --0.837462420E+00-0.839800493E+00-0.842142889E+00-0.844489609E+00-0.846840890E+00 --0.849196532E+00-0.851557632E+00-0.853924083E+00-0.856295672E+00-0.858672398E+00 --0.861054303E+00-0.863442232E+00-0.865836430E+00-0.868236898E+00-0.870643889E+00 --0.873057286E+00-0.875476967E+00-0.877903598E+00-0.880337145E+00-0.882777762E+00 --0.885225478E+00-0.887680295E+00-0.890142830E+00-0.892613561E+00-0.895092354E+00 --0.897578913E+00-0.900073389E+00-0.902575782E+00-0.905086269E+00-0.907605703E+00 --0.910134183E+00-0.912671708E+00-0.915218095E+00-0.917773058E+00-0.920337189E+00 --0.922910977E+00-0.925494408E+00-0.928087479E+00-0.930690227E+00-0.933302638E+00 --0.935925209E+00-0.938557948E+00-0.941200854E+00-0.943853881E+00-0.946517339E+00 --0.949191702E+00-0.951876670E+00-0.954572273E+00-0.957279092E+00-0.959996610E+00 --0.962725433E+00-0.965465611E+00-0.968217145E+00-0.970980010E+00-0.973754263E+00 --0.976540325E+00-0.979338163E+00-0.982147776E+00-0.984969560E+00-0.987803238E+00 --0.990648996E+00-0.993507100E+00-0.996377548E+00-0.999260432E+00-0.100215575E+01 --0.100506321E+01-0.100798372E+01-0.101091725E+01-0.101386337E+01-0.101682210E+01 --0.101979356E+01-0.102277837E+01-0.102577655E+01-0.102878804E+01-0.103181224E+01 --0.103485012E+01-0.103790121E+01-0.104096558E+01-0.104404320E+01-0.104713406E+01 --0.828891886E+00-0.828562685E+00-0.828218330E+00-0.827858822E+00-0.827484161E+00 --0.827094346E+00-0.826689378E+00-0.826269257E+00-0.825833982E+00-0.825383554E+00 --0.824917972E+00-0.824436059E+00-0.823937843E+00-0.823423534E+00-0.822893119E+00 --0.822346427E+00-0.821783402E+00-0.821203998E+00-0.820608199E+00-0.819996005E+00 --0.819367339E+00-0.818721903E+00-0.818059665E+00-0.817380628E+00-0.816684889E+00 --0.815972296E+00-0.815242669E+00-0.814496116E+00-0.813732540E+00-0.812951534E+00 --0.812153326E+00-0.811338259E+00-0.810505746E+00-0.809655900E+00-0.808788820E+00 --0.807904079E+00-0.807001874E+00-0.806082220E+00-0.805145111E+00-0.804190546E+00 --0.803218546E+00-0.802228953E+00-0.801221537E+00-0.800196326E+00-0.799153137E+00 --0.798092189E+00-0.797013623E+00-0.795917502E+00-0.794804689E+00-0.793673279E+00 --0.792523965E+00-0.791358695E+00-0.790178326E+00-0.788982859E+00-0.787772294E+00 --0.786546383E+00-0.785305208E+00-0.784049915E+00-0.782781784E+00-0.781503626E+00 --0.780215471E+00-0.778917058E+00-0.777608329E+00-0.776289285E+00-0.774960210E+00 --0.773624902E+00-0.772283712E+00-0.770936641E+00-0.769583917E+00-0.768225847E+00 --0.766864287E+00-0.765501827E+00-0.764138060E+00-0.762772986E+00-0.761406620E+00 --0.760041947E+00-0.758680231E+00-0.757320949E+00-0.755964007E+00-0.754609604E+00 --0.753261617E+00-0.751920908E+00-0.750587424E+00-0.749260895E+00-0.747941290E+00 --0.746630268E+00-0.745330688E+00-0.744042480E+00-0.742765937E+00-0.741501031E+00 --0.740249057E+00-0.739011913E+00-0.737789354E+00-0.736582999E+00-0.735392846E+00 --0.734218896E+00-0.733062389E+00-0.731924391E+00-0.730804714E+00-0.729705303E+00 --0.728627452E+00-0.727571042E+00-0.726536201E+00-0.725522937E+00-0.724531247E+00 --0.723562562E+00-0.722619335E+00-0.721701070E+00-0.720808163E+00-0.719940586E+00 --0.719098784E+00-0.718284522E+00-0.717497873E+00-0.716738838E+00-0.716008172E+00 --0.715305655E+00-0.714632626E+00-0.713990099E+00-0.713377952E+00-0.712796120E+00 --0.712245067E+00-0.711726491E+00-0.711240451E+00-0.710786839E+00-0.710366065E+00 --0.709978127E+00-0.709623595E+00-0.709304218E+00-0.709020047E+00-0.708771080E+00 --0.708557317E+00-0.708378149E+00-0.708235693E+00-0.708129387E+00-0.708061047E+00 --0.708030671E+00-0.708038259E+00-0.708083811E+00-0.708167329E+00-0.708288810E+00 --0.708449051E+00-0.708649877E+00-0.708891016E+00-0.709172467E+00-0.709494231E+00 --0.709856307E+00-0.710259699E+00-0.710704603E+00-0.711191721E+00-0.711721087E+00 --0.712292496E+00-0.712905911E+00-0.713562250E+00-0.714261759E+00-0.715004430E+00 --0.715790263E+00-0.716619518E+00-0.717492882E+00-0.718410392E+00-0.719371744E+00 --0.720376681E+00-0.721425689E+00-0.722518757E+00-0.723655851E+00-0.724836959E+00 --0.726062473E+00-0.727331777E+00-0.728644282E+00-0.730000017E+00-0.731398962E+00 --0.732840604E+00-0.734324823E+00-0.735851484E+00-0.737419184E+00-0.739027712E+00 --0.740676726E+00-0.742365268E+00-0.744093283E+00-0.745862815E+00-0.747667756E+00 --0.749506705E+00-0.751380486E+00-0.753289102E+00-0.755232142E+00-0.757206400E+00 --0.759211745E+00-0.761248015E+00-0.763311704E+00-0.765401140E+00-0.767515753E+00 --0.769655317E+00-0.771814367E+00-0.773992159E+00-0.776187976E+00-0.778401739E+00 --0.780630817E+00-0.782869632E+00-0.785118112E+00-0.787376259E+00-0.789643485E+00 --0.791913543E+00-0.794185310E+00-0.796458788E+00-0.798733976E+00-0.801010630E+00 --0.803287278E+00-0.805565621E+00-0.807845657E+00-0.810127387E+00-0.812411365E+00 --0.814697191E+00-0.816985328E+00-0.819275776E+00-0.821568534E+00-0.823864034E+00 --0.826163177E+00-0.828465988E+00-0.830772467E+00-0.833082615E+00-0.835396745E+00 --0.837715001E+00-0.840037534E+00-0.842364433E+00-0.844695699E+00-0.847031392E+00 --0.849372314E+00-0.851718712E+00-0.854070585E+00-0.856427934E+00-0.858791012E+00 --0.861160565E+00-0.863535453E+00-0.865916514E+00-0.868303920E+00-0.870697670E+00 --0.873097987E+00-0.875505395E+00-0.877919697E+00-0.880340956E+00-0.882770350E+00 --0.885206698E+00-0.887649880E+00-0.890101257E+00-0.892560831E+00-0.895028599E+00 --0.897504564E+00-0.899988822E+00-0.902481103E+00-0.904981824E+00-0.907491589E+00 --0.910010400E+00-0.912538257E+00-0.915075127E+00-0.917621032E+00-0.920176742E+00 --0.922741947E+00-0.925316754E+00-0.927901162E+00-0.930495179E+00-0.933099423E+00 --0.935714243E+00-0.938339308E+00-0.940974541E+00-0.943620006E+00-0.946276297E+00 --0.948943492E+00-0.951621593E+00-0.954310809E+00-0.957011109E+00-0.959722567E+00 --0.962445410E+00-0.965179547E+00-0.967924976E+00-0.970681941E+00-0.973451099E+00 --0.976231992E+00-0.979024841E+00-0.981829659E+00-0.984646512E+00-0.987475570E+00 --0.990317327E+00-0.993171524E+00-0.996038161E+00-0.998917238E+00-0.100180875E+01 --0.100471297E+01-0.100763038E+01-0.101056102E+01-0.101350483E+01-0.101646126E+01 --0.101943083E+01-0.102241395E+01-0.102541048E+01-0.102842058E+01-0.103144425E+01 --0.103448174E+01-0.103753247E+01-0.104059644E+01-0.104367366E+01-0.104676413E+01 --0.829839802E+00-0.829517405E+00-0.829179561E+00-0.828825916E+00-0.828457119E+00 --0.828073168E+00-0.827674064E+00-0.827259806E+00-0.826830395E+00-0.826385830E+00 --0.825926113E+00-0.825449787E+00-0.824957184E+00-0.824448556E+00-0.823923880E+00 --0.823383009E+00-0.822825809E+00-0.822252279E+00-0.821662420E+00-0.821056226E+00 --0.820433549E+00-0.819794207E+00-0.819138163E+00-0.818465461E+00-0.817776100E+00 --0.817070082E+00-0.816347201E+00-0.815607479E+00-0.814850931E+00-0.814076955E+00 --0.813286096E+00-0.812478353E+00-0.811653553E+00-0.810811559E+00-0.809952363E+00 --0.809076181E+00-0.808182893E+00-0.807272205E+00-0.806344117E+00-0.805398629E+00 --0.804435756E+00-0.803455883E+00-0.802458828E+00-0.801444176E+00-0.800412383E+00 --0.799362900E+00-0.798295945E+00-0.797211736E+00-0.796109801E+00-0.794990940E+00 --0.793855565E+00-0.792702791E+00-0.791534093E+00-0.790350297E+00-0.789151402E+00 --0.787937409E+00-0.786708954E+00-0.785466183E+00-0.784209811E+00-0.782942307E+00 --0.781663844E+00-0.780375037E+00-0.779075914E+00-0.777766475E+00-0.776447298E+00 --0.775121716E+00-0.773790252E+00-0.772452798E+00-0.771108852E+00-0.769758523E+00 --0.768404949E+00-0.767049452E+00-0.765691932E+00-0.764332585E+00-0.762971563E+00 --0.761612445E+00-0.760255730E+00-0.758901354E+00-0.757549320E+00-0.756199451E+00 --0.754854763E+00-0.753516989E+00-0.752186138E+00-0.750862210E+00-0.749545205E+00 --0.748236204E+00-0.746938357E+00-0.745651836E+00-0.744376641E+00-0.743112772E+00 --0.741860517E+00-0.740621537E+00-0.739398760E+00-0.738192185E+00-0.737001814E+00 --0.735827645E+00-0.734669680E+00-0.733528734E+00-0.732405491E+00-0.731303399E+00 --0.730222883E+00-0.729163941E+00-0.728126576E+00-0.727110712E+00-0.726116294E+00 --0.725143330E+00-0.724195356E+00-0.723273113E+00-0.722375991E+00-0.721503990E+00 --0.720657314E+00-0.719837860E+00-0.719046020E+00-0.718282104E+00-0.717546384E+00 --0.716838806E+00-0.716160341E+00-0.715512380E+00-0.714894922E+00-0.714307743E+00 --0.713751108E+00-0.713226520E+00-0.712734196E+00-0.712274709E+00-0.711848059E+00 --0.711454246E+00-0.711093682E+00-0.710768148E+00-0.710477819E+00-0.710222728E+00 --0.710002704E+00-0.709817734E+00-0.709668556E+00-0.709556271E+00-0.709481234E+00 --0.709444062E+00-0.709444754E+00-0.709483310E+00-0.709559809E+00-0.709675537E+00 --0.709830276E+00-0.710024127E+00-0.710258136E+00-0.710532578E+00-0.710847452E+00 --0.711203117E+00-0.711600447E+00-0.712038788E+00-0.712518705E+00-0.713040570E+00 --0.713604381E+00-0.714210216E+00-0.714858997E+00-0.715550989E+00-0.716286137E+00 --0.717064416E+00-0.717886384E+00-0.718752063E+00-0.719661343E+00-0.720614223E+00 --0.721610775E+00-0.722651362E+00-0.723735974E+00-0.724864523E+00-0.726036792E+00 --0.727252658E+00-0.728511749E+00-0.729814087E+00-0.731159660E+00-0.732548530E+00 --0.733980519E+00-0.735454116E+00-0.736968540E+00-0.738523791E+00-0.740119870E+00 --0.741756777E+00-0.743433975E+00-0.745152614E+00-0.746907137E+00-0.748696276E+00 --0.750520032E+00-0.752378255E+00-0.754270913E+00-0.756198404E+00-0.758158373E+00 --0.760148733E+00-0.762168358E+00-0.764213889E+00-0.766285501E+00-0.768383358E+00 --0.770505165E+00-0.772644918E+00-0.774802617E+00-0.776978264E+00-0.779171857E+00 --0.781381108E+00-0.783599467E+00-0.785827206E+00-0.788064326E+00-0.790308207E+00 --0.792556244E+00-0.794806206E+00-0.797058042E+00-0.799311854E+00-0.801566349E+00 --0.803822409E+00-0.806080279E+00-0.808339751E+00-0.810600825E+00-0.812864033E+00 --0.815130107E+00-0.817399026E+00-0.819670790E+00-0.821946084E+00-0.824224188E+00 --0.826505763E+00-0.828790831E+00-0.831079393E+00-0.833371705E+00-0.835669485E+00 --0.837970660E+00-0.840276627E+00-0.842587534E+00-0.844903040E+00-0.847223716E+00 --0.849549913E+00-0.851881471E+00-0.854218417E+00-0.856560752E+00-0.858908942E+00 --0.861263907E+00-0.863625465E+00-0.865992942E+00-0.868366763E+00-0.870746921E+00 --0.873133992E+00-0.875528554E+00-0.877930606E+00-0.880340149E+00-0.882756918E+00 --0.885180767E+00-0.887612791E+00-0.890052945E+00-0.892501228E+00-0.894957642E+00 --0.897422185E+00-0.899894877E+00-0.902376872E+00-0.904867715E+00-0.907367499E+00 --0.909876231E+00-0.912393911E+00-0.914920541E+00-0.917456641E+00-0.920002792E+00 --0.922558991E+00-0.925124988E+00-0.927700567E+00-0.930285849E+00-0.932881591E+00 --0.935487947E+00-0.938104918E+00-0.940732497E+00-0.943370425E+00-0.946019531E+00 --0.948679535E+00-0.951350485E+00-0.954032381E+00-0.956725274E+00-0.959429869E+00 --0.962146340E+00-0.964874351E+00-0.967613651E+00-0.970364784E+00-0.973128101E+00 --0.975903607E+00-0.978691318E+00-0.981491106E+00-0.984303365E+00-0.987127384E+00 --0.989964261E+00-0.992814144E+00-0.995676946E+00-0.998552217E+00-0.100143993E+01 --0.100434089E+01-0.100725523E+01-0.101018278E+01-0.101312356E+01-0.101607773E+01 --0.101904503E+01-0.102202629E+01-0.102502110E+01-0.102802946E+01-0.103105138E+01 --0.103408848E+01-0.103713881E+01-0.104020239E+01-0.104327768E+01-0.104636522E+01 --0.830830589E+00-0.830514343E+00-0.830182707E+00-0.829835681E+00-0.829473265E+00 --0.829095459E+00-0.828702235E+00-0.828293841E+00-0.827870294E+00-0.827431593E+00 --0.826977739E+00-0.826507154E+00-0.826020198E+00-0.825517249E+00-0.824998312E+00 --0.824463263E+00-0.823911885E+00-0.823344177E+00-0.822760234E+00-0.822160043E+00 --0.821543454E+00-0.820910382E+00-0.820260665E+00-0.819594308E+00-0.818911311E+00 --0.818211675E+00-0.817495398E+00-0.816762503E+00-0.816012688E+00-0.815246036E+00 --0.814462500E+00-0.813662083E+00-0.812844967E+00-0.812010452E+00-0.811159152E+00 --0.810291069E+00-0.809406201E+00-0.808504444E+00-0.807585339E+00-0.806648839E+00 --0.805695451E+00-0.804725203E+00-0.803738095E+00-0.802734425E+00-0.801713327E+00 --0.800674976E+00-0.799619370E+00-0.798546495E+00-0.797456831E+00-0.796350653E+00 --0.795227960E+00-0.794088753E+00-0.792932473E+00-0.791760096E+00-0.790573110E+00 --0.789371797E+00-0.788156158E+00-0.786926192E+00-0.785681900E+00-0.784425621E+00 --0.783158665E+00-0.781880780E+00-0.780591966E+00-0.779292258E+00-0.777982681E+00 --0.776666918E+00-0.775344703E+00-0.774016038E+00-0.772680922E+00-0.771339359E+00 --0.769993788E+00-0.768646294E+00-0.767296877E+00-0.765945251E+00-0.764591652E+00 --0.763237378E+00-0.761885345E+00-0.760535707E+00-0.759188399E+00-0.757844297E+00 --0.756503916E+00-0.755169128E+00-0.753841220E+00-0.752520190E+00-0.751206130E+00 --0.749899958E+00-0.748603448E+00-0.747318097E+00-0.746043905E+00-0.744780943E+00 --0.743530432E+00-0.742292702E+00-0.741068585E+00-0.739860646E+00-0.738668962E+00 --0.737493532E+00-0.736334495E+00-0.735192824E+00-0.734068418E+00-0.732963987E+00 --0.731880371E+00-0.730817786E+00-0.729776653E+00-0.728756975E+00-0.727758749E+00 --0.726783080E+00-0.725832051E+00-0.724905686E+00-0.724003986E+00-0.723127411E+00 --0.722276107E+00-0.721451311E+00-0.720654304E+00-0.719885332E+00-0.719144503E+00 --0.718431817E+00-0.717747976E+00-0.717094579E+00-0.716471685E+00-0.715879154E+00 --0.715317189E+00-0.714786093E+00-0.714287486E+00-0.713821647E+00-0.713388578E+00 --0.712988393E+00-0.712622455E+00-0.712290641E+00-0.711993600E+00-0.711731611E+00 --0.711504676E+00-0.711312794E+00-0.711157091E+00-0.711038568E+00-0.710957198E+00 --0.710913023E+00-0.710906616E+00-0.710937906E+00-0.711007994E+00-0.711117093E+00 --0.711265204E+00-0.711452326E+00-0.711678758E+00-0.711946037E+00-0.712253712E+00 --0.712602453E+00-0.712992321E+00-0.713423316E+00-0.713895500E+00-0.714409768E+00 --0.714965981E+00-0.715564235E+00-0.716205472E+00-0.716889920E+00-0.717617586E+00 --0.718388070E+00-0.719201545E+00-0.720058642E+00-0.720959362E+00-0.721903705E+00 --0.722891864E+00-0.723923472E+00-0.724998717E+00-0.726117598E+00-0.727280069E+00 --0.728485769E+00-0.729734694E+00-0.731026845E+00-0.732362248E+00-0.733740514E+00 --0.735160898E+00-0.736622385E+00-0.738124650E+00-0.739667694E+00-0.741251517E+00 --0.742876121E+00-0.744541229E+00-0.746245976E+00-0.747984777E+00-0.749757792E+00 --0.751565425E+00-0.753407674E+00-0.755284540E+00-0.757196063E+00-0.759142365E+00 --0.761117654E+00-0.763118944E+00-0.765146193E+00-0.767198888E+00-0.769277129E+00 --0.771379031E+00-0.773499105E+00-0.775637118E+00-0.777793020E+00-0.779964603E+00 --0.782150811E+00-0.784348219E+00-0.786554745E+00-0.788769382E+00-0.790989204E+00 --0.793214094E+00-0.795442121E+00-0.797671761E+00-0.799902522E+00-0.802134860E+00 --0.804368569E+00-0.806604855E+00-0.808843537E+00-0.811083873E+00-0.813327039E+00 --0.815573238E+00-0.817821975E+00-0.820074249E+00-0.822330061E+00-0.824589417E+00 --0.826852730E+00-0.829119537E+00-0.831389846E+00-0.833664617E+00-0.835944334E+00 --0.838228899E+00-0.840518053E+00-0.842812114E+00-0.845111118E+00-0.847415868E+00 --0.849726592E+00-0.852042755E+00-0.854364307E+00-0.856691268E+00-0.859024600E+00 --0.861364625E+00-0.863711342E+00-0.866064900E+00-0.868425136E+00-0.870791747E+00 --0.873165652E+00-0.875547047E+00-0.877935763E+00-0.880332147E+00-0.882736288E+00 --0.885148179E+00-0.887568100E+00-0.889996150E+00-0.892432329E+00-0.894876846E+00 --0.897329948E+00-0.899791474E+00-0.902261889E+00-0.904741713E+00-0.907230945E+00 --0.909729428E+00-0.912236867E+00-0.914753332E+00-0.917279686E+00-0.919816087E+00 --0.922362536E+00-0.924919033E+00-0.927485579E+00-0.930062228E+00-0.932649470E+00 --0.935247235E+00-0.937855517E+00-0.940474317E+00-0.943104096E+00-0.945745422E+00 --0.948397852E+00-0.951061227E+00-0.953735548E+00-0.956421318E+00-0.959118996E+00 --0.961828550E+00-0.964549979E+00-0.967283303E+00-0.970028519E+00-0.972785896E+00 --0.975555433E+00-0.978337375E+00-0.981131806E+00-0.983938584E+00-0.986757789E+00 --0.989589959E+00-0.992435137E+00-0.995293322E+00-0.998164514E+00-0.100104891E+01 --0.100394643E+01-0.100685744E+01-0.100978178E+01-0.101271947E+01-0.101567047E+01 --0.101863506E+01-0.102161385E+01-0.102460681E+01-0.102761343E+01-0.103063361E+01 --0.103367030E+01-0.103671934E+01-0.103977802E+01-0.104285192E+01-0.104594105E+01 --0.831865458E+00-0.831555363E+00-0.831229877E+00-0.830889002E+00-0.830532736E+00 --0.830161081E+00-0.829774036E+00-0.829371600E+00-0.828953775E+00-0.828520842E+00 --0.828072851E+00-0.827608007E+00-0.827126752E+00-0.826629534E+00-0.826116397E+00 --0.825587145E+00-0.825041640E+00-0.824479881E+00-0.823901869E+00-0.823307543E+00 --0.822696870E+00-0.822069906E+00-0.821426516E+00-0.820766487E+00-0.820089818E+00 --0.819396533E+00-0.818686923E+00-0.817960765E+00-0.817217768E+00-0.816458013E+00 --0.815681499E+00-0.814888776E+00-0.814078833E+00-0.813252212E+00-0.812408911E+00 --0.811548930E+00-0.810672270E+00-0.809778863E+00-0.808868551E+00-0.807941471E+00 --0.806997657E+00-0.806037023E+00-0.805059577E+00-0.804065744E+00-0.803055000E+00 --0.802027599E+00-0.800983363E+00-0.799922895E+00-0.798845643E+00-0.797751844E+00 --0.796641534E+00-0.795514711E+00-0.794371390E+00-0.793212096E+00-0.792037515E+00 --0.790848663E+00-0.789645539E+00-0.788428144E+00-0.787196655E+00-0.785951996E+00 --0.784696576E+00-0.783430242E+00-0.782152905E+00-0.780864521E+00-0.779565889E+00 --0.778260008E+00-0.776947241E+00-0.775627482E+00-0.774301196E+00-0.772968460E+00 --0.771630897E+00-0.770291072E+00-0.768949136E+00-0.767605486E+00-0.766260125E+00 --0.764913050E+00-0.763565715E+00-0.762220826E+00-0.760878673E+00-0.759540283E+00 --0.758205653E+00-0.756874847E+00-0.755549960E+00-0.754231831E+00-0.752921361E+00 --0.751618772E+00-0.750324112E+00-0.749039476E+00-0.747765828E+00-0.746504142E+00 --0.745255235E+00-0.744019108E+00-0.742795760E+00-0.741586154E+00-0.740392875E+00 --0.739215940E+00-0.738056170E+00-0.736913638E+00-0.735788345E+00-0.734681388E+00 --0.733595311E+00-0.732530194E+00-0.731486037E+00-0.730462840E+00-0.729460083E+00 --0.728481002E+00-0.727526595E+00-0.726596836E+00-0.725691715E+00-0.724811232E+00 --0.723955386E+00-0.723124853E+00-0.722322580E+00-0.721548455E+00-0.720802478E+00 --0.720084650E+00-0.719394808E+00-0.718735029E+00-0.718106121E+00-0.717508028E+00 --0.716940749E+00-0.716404286E+00-0.715898638E+00-0.715425361E+00-0.714985248E+00 --0.714579065E+00-0.714206991E+00-0.713869026E+00-0.713565172E+00-0.713296009E+00 --0.713062162E+00-0.712863406E+00-0.712701214E+00-0.712576175E+00-0.712488290E+00 --0.712437416E+00-0.712423332E+00-0.712447361E+00-0.712510388E+00-0.712612413E+00 --0.712753437E+00-0.712933459E+00-0.713153017E+00-0.713412712E+00-0.713711840E+00 --0.714052607E+00-0.714435013E+00-0.714858547E+00-0.715323208E+00-0.715828996E+00 --0.716377298E+00-0.716967969E+00-0.717601662E+00-0.718278040E+00-0.718996996E+00 --0.719758724E+00-0.720563425E+00-0.721411737E+00-0.722303681E+00-0.723239022E+00 --0.724217479E+00-0.725239349E+00-0.726304914E+00-0.727413988E+00-0.728566296E+00 --0.729761851E+00-0.731000347E+00-0.732281535E+00-0.733605508E+00-0.734971494E+00 --0.736379050E+00-0.737828389E+00-0.739318896E+00-0.740850181E+00-0.742422237E+00 --0.744032601E+00-0.745681245E+00-0.747368491E+00-0.749092791E+00-0.750851302E+00 --0.752644025E+00-0.754470960E+00-0.756332106E+00-0.758227464E+00-0.760157034E+00 --0.762115855E+00-0.764097093E+00-0.766103878E+00-0.768136210E+00-0.770194089E+00 --0.772276024E+00-0.774376427E+00-0.776494787E+00-0.778628097E+00-0.780776032E+00 --0.782938592E+00-0.785115286E+00-0.787300216E+00-0.789490911E+00-0.791686674E+00 --0.793887506E+00-0.796092429E+00-0.798297965E+00-0.800505305E+00-0.802714447E+00 --0.804925955E+00-0.807140094E+00-0.809356808E+00-0.811576283E+00-0.813797852E+00 --0.816022830E+00-0.818251764E+00-0.820484321E+00-0.822720416E+00-0.824960049E+00 --0.827203321E+00-0.829451866E+00-0.831703733E+00-0.833960441E+00-0.836222096E+00 --0.838488696E+00-0.840760652E+00-0.843037606E+00-0.845319638E+00-0.847607654E+00 --0.849901654E+00-0.852201676E+00-0.854507543E+00-0.856819242E+00-0.859137634E+00 --0.861462718E+00-0.863794495E+00-0.866132964E+00-0.868478981E+00-0.870831839E+00 --0.873191614E+00-0.875559146E+00-0.877934436E+00-0.880317484E+00-0.882708289E+00 --0.885106852E+00-0.887514280E+00-0.889929861E+00-0.892353934E+00-0.894786497E+00 --0.897227551E+00-0.899677298E+00-0.902136451E+00-0.904605012E+00-0.907082982E+00 --0.909570382E+00-0.912067116E+00-0.914573580E+00-0.917090006E+00-0.919616394E+00 --0.922152742E+00-0.924699051E+00-0.927255601E+00-0.929823239E+00-0.932401440E+00 --0.934990158E+00-0.937589393E+00-0.940199238E+00-0.942820520E+00-0.945453357E+00 --0.948097750E+00-0.950753564E+00-0.953420355E+00-0.956099242E+00-0.958789846E+00 --0.961492244E+00-0.964206661E+00-0.966933131E+00-0.969671871E+00-0.972422771E+00 --0.975185895E+00-0.977961851E+00-0.980750771E+00-0.983552170E+00-0.986366513E+00 --0.989193978E+00-0.992034390E+00-0.994887932E+00-0.997754733E+00-0.100063479E+01 --0.100352802E+01-0.100643508E+01-0.100935609E+01-0.101229061E+01-0.101523856E+01 --0.101820064E+01-0.102117692E+01-0.102416741E+01-0.102717209E+01-0.103019091E+01 --0.103322127E+01-0.103626632E+01-0.103932660E+01-0.104240210E+01-0.104549283E+01 --0.832944409E+00-0.832640464E+00-0.832321129E+00-0.831986405E+00-0.831636290E+00 --0.831270785E+00-0.830889891E+00-0.830493606E+00-0.830081931E+00-0.829654617E+00 --0.829211563E+00-0.828752320E+00-0.828276825E+00-0.827785398E+00-0.827278022E+00 --0.826754546E+00-0.826214936E+00-0.825659103E+00-0.825087004E+00-0.824498574E+00 --0.823893840E+00-0.823272804E+00-0.822635562E+00-0.821981861E+00-0.821311504E+00 --0.820624671E+00-0.819921410E+00-0.819201793E+00-0.818465619E+00-0.817712689E+00 --0.816943265E+00-0.816157438E+00-0.815355190E+00-0.814536270E+00-0.813700671E+00 --0.812848422E+00-0.811979696E+00-0.811094454E+00-0.810192720E+00-0.809274868E+00 --0.808340323E+00-0.807388959E+00-0.806420921E+00-0.805436937E+00-0.804436842E+00 --0.803420060E+00-0.802386566E+00-0.801337180E+00-0.800272060E+00-0.799190541E+00 --0.798092510E+00-0.796978010E+00-0.795847863E+00-0.794702305E+00-0.793541223E+00 --0.792364667E+00-0.791173960E+00-0.789969384E+00-0.788750945E+00-0.787518695E+00 --0.786274639E+00-0.785019908E+00-0.783754408E+00-0.782478086E+00-0.781190959E+00 --0.779895587E+00-0.778593328E+00-0.777284185E+00-0.775968155E+00-0.774645334E+00 --0.773315773E+00-0.771983525E+00-0.770649572E+00-0.769313916E+00-0.767976555E+00 --0.766637490E+00-0.765296721E+00-0.763957032E+00-0.762620452E+00-0.761287578E+00 --0.759958408E+00-0.758632944E+00-0.757311301E+00-0.755996345E+00-0.754689300E+00 --0.753390165E+00-0.752098941E+00-0.750815824E+00-0.749542807E+00-0.748282466E+00 --0.747034810E+00-0.745799838E+00-0.744577550E+00-0.743367947E+00-0.742173782E+00 --0.740995604E+00-0.739834685E+00-0.738691025E+00-0.737564626E+00-0.736456380E+00 --0.735366922E+00-0.734298927E+00-0.733251948E+00-0.732225913E+00-0.731220820E+00 --0.730237487E+00-0.729278673E+00-0.728344496E+00-0.727434957E+00-0.726550262E+00 --0.725690162E+00-0.724855771E+00-0.724048697E+00-0.723268863E+00-0.722517113E+00 --0.721793510E+00-0.721097797E+00-0.720432195E+00-0.719797454E+00-0.719193574E+00 --0.718620553E+00-0.718078254E+00-0.717566256E+00-0.717086669E+00-0.716640265E+00 --0.716226763E+00-0.715847724E+00-0.715503147E+00-0.715193032E+00-0.714917309E+00 --0.714675539E+00-0.714469632E+00-0.714300578E+00-0.714168386E+00-0.714073170E+00 --0.714014930E+00-0.713993668E+00-0.714010079E+00-0.714065472E+00-0.714159863E+00 --0.714293343E+00-0.714466192E+00-0.714678037E+00-0.714929911E+00-0.715222106E+00 --0.715554382E+00-0.715928237E+00-0.716343671E+00-0.716800685E+00-0.717299278E+00 --0.717839451E+00-0.718421241E+00-0.719045733E+00-0.719712999E+00-0.720423039E+00 --0.721175852E+00-0.721971438E+00-0.722810524E+00-0.723692909E+00-0.724618412E+00 --0.725587030E+00-0.726598766E+00-0.727654415E+00-0.728753192E+00-0.729894672E+00 --0.731078844E+00-0.732305709E+00-0.733575336E+00-0.734887244E+00-0.736240721E+00 --0.737635768E+00-0.739072435E+00-0.740551554E+00-0.742069730E+00-0.743626095E+00 --0.745220741E+00-0.746853667E+00-0.748524872E+00-0.750234015E+00-0.751977867E+00 --0.753755932E+00-0.755567517E+00-0.757411965E+00-0.759289331E+00-0.761199001E+00 --0.763135304E+00-0.765096964E+00-0.767083981E+00-0.769096355E+00-0.771134086E+00 --0.773196722E+00-0.775276922E+00-0.777372050E+00-0.779482105E+00-0.781607088E+00 --0.783746997E+00-0.785900249E+00-0.788060619E+00-0.790227079E+00-0.792398626E+00 --0.794575259E+00-0.796754263E+00-0.798935491E+00-0.801119259E+00-0.803305565E+00 --0.805494121E+00-0.807685249E+00-0.809879363E+00-0.812076462E+00-0.814276565E+00 --0.816480350E+00-0.818688049E+00-0.820899662E+00-0.823115188E+00-0.825334628E+00 --0.827558548E+00-0.829787427E+00-0.832020711E+00-0.834258986E+00-0.836502251E+00 --0.838750507E+00-0.841004322E+00-0.843263666E+00-0.845528655E+00-0.847799465E+00 --0.850076094E+00-0.852359165E+00-0.854649100E+00-0.856945041E+00-0.859247868E+00 --0.861557424E+00-0.863873710E+00-0.866196726E+00-0.868526677E+00-0.870864611E+00 --0.873210584E+00-0.875564291E+00-0.877925722E+00-0.880294875E+00-0.882671751E+00 --0.885057059E+00-0.887451435E+00-0.889854003E+00-0.892265257E+00-0.894685203E+00 --0.897114237E+00-0.899552186E+00-0.901999810E+00-0.904456786E+00-0.906923113E+00 --0.909398791E+00-0.911883881E+00-0.914379265E+00-0.916885200E+00-0.919401246E+00 --0.921927253E+00-0.924463223E+00-0.927009869E+00-0.929567525E+00-0.932136219E+00 --0.934715890E+00-0.937305927E+00-0.939907151E+00-0.942519931E+00-0.945144265E+00 --0.947780143E+00-0.950427406E+00-0.953086762E+00-0.955757246E+00-0.958440314E+00 --0.961135494E+00-0.963842693E+00-0.966561911E+00-0.969294011E+00-0.972038280E+00 --0.974795216E+00-0.977565116E+00-0.980347995E+00-0.983143845E+00-0.985952289E+00 --0.988774419E+00-0.991609941E+00-0.994458721E+00-0.997320760E+00-0.100019606E+01 --0.100308519E+01-0.100598835E+01-0.100890546E+01-0.101183655E+01-0.101478177E+01 --0.101774126E+01-0.102071514E+01-0.102370332E+01-0.102670579E+01-0.102972254E+01 --0.103275068E+01-0.103579455E+01-0.103885414E+01-0.104192946E+01-0.104502051E+01 --0.834067441E+00-0.833769647E+00-0.833456463E+00-0.833127889E+00-0.832783925E+00 --0.832424401E+00-0.832049327E+00-0.831658716E+00-0.831252569E+00-0.830830887E+00 --0.830393669E+00-0.829940277E+00-0.829470685E+00-0.828985084E+00-0.828483494E+00 --0.827965747E+00-0.827431864E+00-0.826881854E+00-0.826315670E+00-0.825733159E+00 --0.825134344E+00-0.824519226E+00-0.823887814E+00-0.823240150E+00-0.822576060E+00 --0.821895575E+00-0.821198663E+00-0.820485587E+00-0.819755873E+00-0.819009736E+00 --0.818247200E+00-0.817468259E+00-0.816673084E+00-0.815861713E+00-0.815033826E+00 --0.814189421E+00-0.813328500E+00-0.812451078E+00-0.811557552E+00-0.810648051E+00 --0.809722553E+00-0.808780453E+00-0.807821973E+00-0.806847633E+00-0.805857432E+00 --0.804851159E+00-0.803828428E+00-0.802790035E+00-0.801735980E+00-0.800666263E+00 --0.799580545E+00-0.798478976E+00-0.797362099E+00-0.796229640E+00-0.795081845E+00 --0.793918620E+00-0.792741164E+00-0.791549761E+00-0.790344412E+00-0.789124884E+00 --0.787893089E+00-0.786650472E+00-0.785397035E+00-0.784132776E+00-0.782857697E+00 --0.781572822E+00-0.780280898E+00-0.778982141E+00-0.777676551E+00-0.776364127E+00 --0.775045003E+00-0.773722037E+00-0.772396329E+00-0.771067845E+00-0.769737630E+00 --0.768405711E+00-0.767072170E+00-0.765740002E+00-0.764410341E+00-0.763083187E+00 --0.761758922E+00-0.760438444E+00-0.759121671E+00-0.757810092E+00-0.756506421E+00 --0.755210672E+00-0.753922973E+00-0.752643002E+00-0.751372967E+00-0.750113983E+00 --0.748866592E+00-0.747631886E+00-0.746409865E+00-0.745201300E+00-0.744007830E+00 --0.742829450E+00-0.741666955E+00-0.740521756E+00-0.739394167E+00-0.738284967E+00 --0.737193661E+00-0.736122823E+00-0.735072957E+00-0.734044065E+00-0.733036145E+00 --0.732049219E+00-0.731085987E+00-0.730147669E+00-0.729233837E+00-0.728344472E+00 --0.727479572E+00-0.726640896E+00-0.725829288E+00-0.725044737E+00-0.724287245E+00 --0.723557679E+00-0.722856076E+00-0.722184666E+00-0.721544309E+00-0.720934363E+00 --0.720354704E+00-0.719805332E+00-0.719287783E+00-0.718802047E+00-0.718348847E+00 --0.717929086E+00-0.717542860E+00-0.717190933E+00-0.716873469E+00-0.716590466E+00 --0.716342388E+00-0.716130224E+00-0.715953059E+00-0.715813075E+00-0.715710292E+00 --0.715644682E+00-0.715616062E+00-0.715624520E+00-0.715672279E+00-0.715758825E+00 --0.715884349E+00-0.716048869E+00-0.716252446E+00-0.716496139E+00-0.716780214E+00 --0.717104669E+00-0.717470092E+00-0.717877095E+00-0.718325677E+00-0.718815845E+00 --0.719347646E+00-0.719921084E+00-0.720536275E+00-0.721194122E+00-0.721894753E+00 --0.722638167E+00-0.723425020E+00-0.724254860E+00-0.725126698E+00-0.726041581E+00 --0.726999630E+00-0.728000845E+00-0.729045278E+00-0.730132392E+00-0.731262229E+00 --0.732434772E+00-0.733650007E+00-0.734907828E+00-0.736207245E+00-0.737548133E+00 --0.738930236E+00-0.740353820E+00-0.741817714E+00-0.743320886E+00-0.744862314E+00 --0.746441860E+00-0.748059523E+00-0.749715305E+00-0.751408487E+00-0.753136085E+00 --0.754896364E+00-0.756689330E+00-0.758514997E+00-0.760376188E+00-0.762266423E+00 --0.764181990E+00-0.766122890E+00-0.768089123E+00-0.770080688E+00-0.772097587E+00 --0.774136818E+00-0.776192439E+00-0.778264421E+00-0.780352572E+00-0.782455741E+00 --0.784573438E+00-0.786700029E+00-0.788833811E+00-0.790974783E+00-0.793122127E+00 --0.795273877E+00-0.797427838E+00-0.799584232E+00-0.801743193E+00-0.803905027E+00 --0.806069642E+00-0.808237174E+00-0.810408263E+00-0.812582909E+00-0.814760862E+00 --0.816943296E+00-0.819129508E+00-0.821319824E+00-0.823514245E+00-0.825712771E+00 --0.827916109E+00-0.830124734E+00-0.832338645E+00-0.834557720E+00-0.836781786E+00 --0.839011221E+00-0.841246720E+00-0.843488123E+00-0.845735296E+00-0.847988289E+00 --0.850247253E+00-0.852513422E+00-0.854786140E+00-0.857065055E+00-0.859351633E+00 --0.861645406E+00-0.863945910E+00-0.866253143E+00-0.868567741E+00-0.870890487E+00 --0.873221359E+00-0.875560358E+00-0.877907484E+00-0.880262592E+00-0.882625722E+00 --0.884997528E+00-0.887378005E+00-0.889767248E+00-0.892165497E+00-0.894572487E+00 --0.896988952E+00-0.899414341E+00-0.901849307E+00-0.904294346E+00-0.906748935E+00 --0.909212875E+00-0.911686381E+00-0.914170432E+00-0.916665063E+00-0.919170275E+00 --0.921685915E+00-0.924211674E+00-0.926748324E+00-0.929295982E+00-0.931854630E+00 --0.934424243E+00-0.937005303E+00-0.939597744E+00-0.942201565E+00-0.944816768E+00 --0.947443352E+00-0.950081898E+00-0.952733012E+00-0.955395758E+00-0.958070628E+00 --0.960757903E+00-0.963457584E+00-0.966169671E+00-0.968894591E+00-0.971632430E+00 --0.974383086E+00-0.977146560E+00-0.979922851E+00-0.982712087E+00-0.985515138E+00 --0.988331409E+00-0.991161264E+00-0.994004904E+00-0.996862173E+00-0.999732709E+00 --0.100261774E+01-0.100551692E+01-0.100843009E+01-0.101135746E+01-0.101429879E+01 --0.101725458E+01-0.102022556E+01-0.102321137E+01-0.102621146E+01-0.102922585E+01 --0.103225342E+01-0.103529672E+01-0.103835574E+01-0.104143049E+01-0.104452097E+01 --0.835234596E+00-0.834943036E+00-0.834635940E+00-0.834313308E+00-0.833975140E+00 --0.833621437E+00-0.833252197E+00-0.832867422E+00-0.832467111E+00-0.832051265E+00 --0.831619882E+00-0.831172266E+00-0.830708442E+00-0.830228594E+00-0.829732791E+00 --0.829220777E+00-0.828692682E+00-0.828148367E+00-0.827587832E+00-0.827011100E+00 --0.826418064E+00-0.825808726E+00-0.825183141E+00-0.824541412E+00-0.823883495E+00 --0.823209142E+00-0.822518408E+00-0.821811323E+00-0.821088113E+00-0.820348731E+00 --0.819592929E+00-0.818820730E+00-0.818032372E+00-0.817227869E+00-0.816407220E+00 --0.815570425E+00-0.814717334E+00-0.813848099E+00-0.812962889E+00-0.812061702E+00 --0.811144540E+00-0.810211572E+00-0.809262668E+00-0.808297809E+00-0.807317143E+00 --0.806320703E+00-0.805308708E+00-0.804281031E+00-0.803237672E+00-0.802178632E+00 --0.801104968E+00-0.800015778E+00-0.798911143E+00-0.797791683E+00-0.796656910E+00 --0.795507076E+00-0.794343202E+00-0.793165435E+00-0.791973709E+00-0.790767997E+00 --0.789549638E+00-0.788319320E+00-0.787078174E+00-0.785826200E+00-0.784563397E+00 --0.783290635E+00-0.782008869E+00-0.780720330E+00-0.779425106E+00-0.778123062E+00 --0.776814184E+00-0.775500512E+00-0.774184178E+00-0.772865103E+00-0.771543287E+00 --0.770218746E+00-0.768891352E+00-0.767566413E+00-0.766243981E+00-0.764924055E+00 --0.763606637E+00-0.762291725E+00-0.760979320E+00-0.759671301E+00-0.758371234E+00 --0.757079159E+00-0.755794763E+00-0.754518047E+00-0.753250639E+00-0.751994326E+00 --0.750749105E+00-0.749515044E+00-0.748293183E+00-0.747085273E+00-0.745892451E+00 --0.744714719E+00-0.743552077E+00-0.742404864E+00-0.741275720E+00-0.740164636E+00 --0.739071547E+00-0.737998355E+00-0.736946137E+00-0.735914891E+00-0.734904601E+00 --0.733915039E+00-0.732948220E+00-0.732005676E+00-0.731087302E+00-0.730193099E+00 --0.729323474E+00-0.728480281E+00-0.727664127E+00-0.726874983E+00-0.726112850E+00 --0.725377667E+00-0.724670476E+00-0.723992963E+00-0.723345642E+00-0.722728608E+00 --0.722141861E+00-0.721586369E+00-0.721062632E+00-0.720570888E+00-0.720110837E+00 --0.719684162E+00-0.719291042E+00-0.718931359E+00-0.718606433E+00-0.718316250E+00 --0.718061221E+00-0.717841374E+00-0.717656827E+00-0.717509095E+00-0.717398563E+00 --0.717325232E+00-0.717289101E+00-0.717290267E+00-0.717329344E+00-0.717407490E+00 --0.717524683E+00-0.717680875E+00-0.717876196E+00-0.718111691E+00-0.718387566E+00 --0.718703823E+00-0.719060461E+00-0.719458325E+00-0.719897657E+00-0.720378626E+00 --0.720901233E+00-0.721465477E+00-0.722071358E+00-0.722719110E+00-0.723410261E+00 --0.724144292E+00-0.724920734E+00-0.725739486E+00-0.726600559E+00-0.727504679E+00 --0.728451964E+00-0.729442244E+00-0.730475097E+00-0.731550622E+00-0.732668819E+00 --0.733829694E+00-0.735032869E+00-0.736277483E+00-0.737563313E+00-0.738890359E+00 --0.740258621E+00-0.741667724E+00-0.743115936E+00-0.744603336E+00-0.746129898E+00 --0.747694577E+00-0.749297374E+00-0.750936667E+00-0.752611053E+00-0.754320402E+00 --0.756062971E+00-0.757838228E+00-0.759646522E+00-0.761485247E+00-0.763354104E+00 --0.765249658E+00-0.767169796E+00-0.769114517E+00-0.771084935E+00-0.773080695E+00 --0.775095942E+00-0.777127412E+00-0.779175303E+00-0.781239808E+00-0.783321206E+00 --0.785413937E+00-0.787513790E+00-0.789620854E+00-0.791735129E+00-0.793856615E+00 --0.795982139E+00-0.798110161E+00-0.800241322E+00-0.802375363E+00-0.804512276E+00 --0.806652060E+00-0.808795975E+00-0.810943464E+00-0.813094865E+00-0.815250309E+00 --0.817409644E+00-0.819573433E+00-0.821741792E+00-0.823914721E+00-0.826092345E+00 --0.828275232E+00-0.830463386E+00-0.832656809E+00-0.834855866E+00-0.837060347E+00 --0.839270610E+00-0.841486851E+00-0.843709072E+00-0.845938426E+00-0.848173565E+00 --0.850414703E+00-0.852662846E+00-0.854917946E+00-0.857179763E+00-0.859449242E+00 --0.861726382E+00-0.864011022E+00-0.866302510E+00-0.868601941E+00-0.870909499E+00 --0.873225182E+00-0.875548921E+00-0.877880668E+00-0.880221227E+00-0.882570153E+00 --0.884927517E+00-0.887294021E+00-0.889669268E+00-0.892053818E+00-0.894447611E+00 --0.896850736E+00-0.899263414E+00-0.901685666E+00-0.904117979E+00-0.906560353E+00 --0.909012636E+00-0.911474617E+00-0.913947335E+00-0.916430524E+00-0.918924255E+00 --0.921428700E+00-0.923943937E+00-0.926470122E+00-0.929007170E+00-0.931555082E+00 --0.934114386E+00-0.936685497E+00-0.939268533E+00-0.941863057E+00-0.944468962E+00 --0.947086440E+00-0.949716205E+00-0.952358321E+00-0.955012787E+00-0.957679636E+00 --0.960358892E+00-0.963050531E+00-0.965754787E+00-0.968472315E+00-0.971203116E+00 --0.973947027E+00-0.976703759E+00-0.979473307E+00-0.982256124E+00-0.985052868E+00 --0.987863523E+00-0.990687907E+00-0.993526074E+00-0.996378026E+00-0.999244187E+00 --0.100212415E+01-0.100501883E+01-0.100792783E+01-0.101085103E+01-0.101378846E+01 --0.101674079E+01-0.101970830E+01-0.102269100E+01-0.102568876E+01-0.102870078E+01 --0.103172778E+01-0.103477051E+01-0.103782897E+01-0.104090315E+01-0.104399305E+01 --0.836446325E+00-0.836160688E+00-0.835859501E+00-0.835542764E+00-0.835210447E+00 --0.834862579E+00-0.834499176E+00-0.834120236E+00-0.833725761E+00-0.833315750E+00 --0.832890203E+00-0.832448364E+00-0.831990299E+00-0.831516172E+00-0.831025949E+00 --0.830519656E+00-0.829997118E+00-0.829458360E+00-0.828903381E+00-0.828332253E+00 --0.827744997E+00-0.827141360E+00-0.826521423E+00-0.825885341E+00-0.825233115E+00 --0.824564745E+00-0.823880153E+00-0.823179210E+00-0.822462137E+00-0.821728982E+00 --0.820979745E+00-0.820214417E+00-0.819432977E+00-0.818635412E+00-0.817821721E+00 --0.816992059E+00-0.816146865E+00-0.815285286E+00-0.814407771E+00-0.813514320E+00 --0.812605332E+00-0.811681232E+00-0.810740707E+00-0.809785026E+00-0.808813918E+00 --0.807827005E+00-0.806825032E+00-0.805807823E+00-0.804774885E+00-0.803727013E+00 --0.802664365E+00-0.801586936E+00-0.800494478E+00-0.799387282E+00-0.798265349E+00 --0.797129139E+00-0.795978526E+00-0.794813894E+00-0.793635282E+00-0.792442850E+00 --0.791238161E+00-0.790021261E+00-0.788792454E+00-0.787552807E+00-0.786302400E+00 --0.785042467E+00-0.783773410E+00-0.782496027E+00-0.781211870E+00-0.779920938E+00 --0.778623233E+00-0.777319096E+00-0.776011890E+00-0.774701850E+00-0.773388988E+00 --0.772073302E+00-0.770755361E+00-0.769438082E+00-0.768121522E+00-0.766807486E+00 --0.765496027E+00-0.764187145E+00-0.762880840E+00-0.761579643E+00-0.760283637E+00 --0.758995045E+00-0.757714122E+00-0.756440867E+00-0.755176158E+00-0.753922314E+00 --0.752679399E+00-0.751447410E+00-0.750226886E+00-0.749019594E+00-0.747826769E+00 --0.746648924E+00-0.745486056E+00-0.744338512E+00-0.743208242E+00-0.742095486E+00 --0.741000579E+00-0.739925035E+00-0.738870416E+00-0.737836488E+00-0.736823333E+00 --0.735830952E+00-0.734860719E+00-0.733914646E+00-0.732992588E+00-0.732094242E+00 --0.731219781E+00-0.730371591E+00-0.729550411E+00-0.728756265E+00-0.727988996E+00 --0.727248213E+00-0.726535899E+00-0.725853096E+00-0.725199806E+00-0.724576022E+00 --0.723982308E+00-0.723420343E+00-0.722889968E+00-0.722391184E+00-0.721924203E+00 --0.721490543E+00-0.721090507E+00-0.720724142E+00-0.720392381E+00-0.720093771E+00 --0.719830620E+00-0.719603090E+00-0.719410757E+00-0.719255276E+00-0.719136935E+00 --0.719055532E+00-0.719011152E+00-0.719003798E+00-0.719034658E+00-0.719104584E+00 --0.719213575E+00-0.719361615E+00-0.719548605E+00-0.719775348E+00-0.720042313E+00 --0.720349499E+00-0.720697857E+00-0.721086706E+00-0.721516324E+00-0.721987070E+00 --0.722499629E+00-0.723054001E+00-0.723650185E+00-0.724288181E+00-0.724968601E+00 --0.725691675E+00-0.726457034E+00-0.727264699E+00-0.728114673E+00-0.729007271E+00 --0.729943793E+00-0.730922517E+00-0.731943780E+00-0.733007662E+00-0.734113448E+00 --0.735260983E+00-0.736450306E+00-0.737680956E+00-0.738952803E+00-0.740266007E+00 --0.741620134E+00-0.743013579E+00-0.744446110E+00-0.745917728E+00-0.747428775E+00 --0.748978394E+00-0.750563713E+00-0.752184129E+00-0.753839640E+00-0.755530247E+00 --0.757255100E+00-0.759012653E+00-0.760800355E+00-0.762617148E+00-0.764463032E+00 --0.766337893E+00-0.768239030E+00-0.770163635E+00-0.772111131E+00-0.774081520E+00 --0.776071502E+00-0.778078760E+00-0.780102621E+00-0.782143174E+00-0.784199910E+00 --0.786264510E+00-0.788336975E+00-0.790417200E+00-0.792504372E+00-0.794598754E+00 --0.796699001E+00-0.798800592E+00-0.800905397E+00-0.803013417E+00-0.805124695E+00 --0.807240717E+00-0.809359432E+00-0.811482737E+00-0.813610525E+00-0.815742356E+00 --0.817878531E+00-0.820019820E+00-0.822165631E+00-0.824316510E+00-0.826473128E+00 --0.828635016E+00-0.830802156E+00-0.832974639E+00-0.835152539E+00-0.837336739E+00 --0.839527487E+00-0.841724718E+00-0.843927682E+00-0.846138047E+00-0.848354209E+00 --0.850577321E+00-0.852807438E+00-0.855044559E+00-0.857289239E+00-0.859541620E+00 --0.861801662E+00-0.864069365E+00-0.866344704E+00-0.868628437E+00-0.870920179E+00 --0.873219930E+00-0.875527688E+00-0.877843767E+00-0.880169007E+00-0.882503245E+00 --0.884846127E+00-0.887198175E+00-0.889559388E+00-0.891930143E+00-0.894310344E+00 --0.896700024E+00-0.899099369E+00-0.901508613E+00-0.903928213E+00-0.906357901E+00 --0.908797766E+00-0.911247844E+00-0.913708021E+00-0.916179140E+00-0.918661360E+00 --0.921154559E+00-0.923658473E+00-0.926173222E+00-0.928699551E+00-0.931236895E+00 --0.933785969E+00-0.936346849E+00-0.938919536E+00-0.941504235E+00-0.944100632E+00 --0.946709047E+00-0.949329813E+00-0.951962930E+00-0.954608400E+00-0.957267161E+00 --0.959937845E+00-0.962621112E+00-0.965317653E+00-0.968027466E+00-0.970750551E+00 --0.973486909E+00-0.976236558E+00-0.978999408E+00-0.981775933E+00-0.984566370E+00 --0.987370718E+00-0.990189092E+00-0.993021770E+00-0.995868325E+00-0.998729137E+00 --0.100160399E+01-0.100449359E+01-0.100739810E+01-0.101031724E+01-0.101325076E+01 --0.101619963E+01-0.101916368E+01-0.102214294E+01-0.102513751E+01-0.102814733E+01 --0.103117154E+01-0.103421367E+01-0.103727175E+01-0.104034576E+01-0.104343572E+01 --0.837700165E+00-0.837421844E+00-0.837126617E+00-0.836815839E+00-0.836489512E+00 --0.836147634E+00-0.835790207E+00-0.835417230E+00-0.835028702E+00-0.834624625E+00 --0.834204998E+00-0.833769147E+00-0.833316660E+00-0.832848009E+00-0.832363182E+00 --0.831862192E+00-0.831345064E+00-0.830811798E+00-0.830262393E+00-0.829696766E+00 --0.829115094E+00-0.828516949E+00-0.827902659E+00-0.827272225E+00-0.826625647E+00 --0.825962919E+00-0.825283982E+00-0.824589111E+00-0.823878161E+00-0.823151095E+00 --0.822407915E+00-0.821648614E+00-0.820873507E+00-0.820082690E+00-0.819275821E+00 --0.818453202E+00-0.817614754E+00-0.816760753E+00-0.815890862E+00-0.815005109E+00 --0.814104287E+00-0.813188133E+00-0.812256106E+00-0.811308925E+00-0.810346588E+00 --0.809369095E+00-0.808377003E+00-0.807369096E+00-0.806346863E+00-0.805309942E+00 --0.804258244E+00-0.803191771E+00-0.802111003E+00-0.801015642E+00-0.799905780E+00 --0.798782250E+00-0.797645054E+00-0.796494191E+00-0.795328653E+00-0.794149744E+00 --0.792958624E+00-0.791755293E+00-0.790539751E+00-0.789312455E+00-0.788074568E+00 --0.786827454E+00-0.785571234E+00-0.784305920E+00-0.783032920E+00-0.781753145E+00 --0.780466891E+00-0.779174538E+00-0.777876925E+00-0.776576144E+00-0.775272282E+00 --0.773965528E+00-0.772656240E+00-0.771347277E+00-0.770039277E+00-0.768732242E+00 --0.767426376E+00-0.766122942E+00-0.764823397E+00-0.763528397E+00-0.762237940E+00 --0.760953192E+00-0.759676202E+00-0.758406981E+00-0.757146395E+00-0.755894737E+00 --0.754653562E+00-0.753423315E+00-0.752204633E+00-0.750999311E+00-0.749807389E+00 --0.748629301E+00-0.747466152E+00-0.746318457E+00-0.745188100E+00-0.744075255E+00 --0.742980252E+00-0.741902494E+00-0.740844928E+00-0.739808146E+00-0.738792148E+00 --0.737796894E+00-0.736823229E+00-0.735873234E+00-0.734946947E+00-0.734044369E+00 --0.733165374E+00-0.732312159E+00-0.731486178E+00-0.730686759E+00-0.729913821E+00 --0.729167504E+00-0.728449998E+00-0.727762003E+00-0.727103139E+00-0.726473051E+00 --0.725872925E+00-0.725304197E+00-0.724766820E+00-0.724260973E+00-0.723786878E+00 --0.723346235E+00-0.722939301E+00-0.722566004E+00-0.722226308E+00-0.721920240E+00 --0.721649194E+00-0.721413759E+00-0.721213935E+00-0.721050241E+00-0.720923470E+00 --0.720833627E+00-0.720780712E+00-0.720764855E+00-0.720787198E+00-0.720848465E+00 --0.720948654E+00-0.721087765E+00-0.721265799E+00-0.721483002E+00-0.721740770E+00 --0.722038922E+00-0.722377491E+00-0.722756337E+00-0.723175809E+00-0.723636736E+00 --0.724139158E+00-0.724683363E+00-0.725269381E+00-0.725897211E+00-0.726566871E+00 --0.727278876E+00-0.728033242E+00-0.728829968E+00-0.729669056E+00-0.730550504E+00 --0.731474666E+00-0.732441345E+00-0.733449772E+00-0.734499950E+00-0.735591876E+00 --0.736725552E+00-0.737901059E+00-0.739117931E+00-0.740375992E+00-0.741674783E+00 --0.743013222E+00-0.744390791E+00-0.745807443E+00-0.747263176E+00-0.748758187E+00 --0.750289512E+00-0.751855986E+00-0.753457572E+00-0.755094248E+00-0.756765980E+00 --0.758472494E+00-0.760209308E+00-0.761975585E+00-0.763771250E+00-0.765596305E+00 --0.767450244E+00-0.769328780E+00-0.771228341E+00-0.773150644E+00-0.775095839E+00 --0.777061241E+00-0.779043147E+00-0.781041697E+00-0.783060361E+00-0.785088779E+00 --0.787125061E+00-0.789169208E+00-0.791221220E+00-0.793281096E+00-0.795348837E+00 --0.797423383E+00-0.799499160E+00-0.801577071E+00-0.803657931E+00-0.805743200E+00 --0.807832879E+00-0.809926524E+00-0.812024868E+00-0.814128172E+00-0.816236436E+00 --0.818349086E+00-0.820466934E+00-0.822589663E+00-0.824718130E+00-0.826852335E+00 --0.828992279E+00-0.831138148E+00-0.833289581E+00-0.835446867E+00-0.837610704E+00 --0.839781087E+00-0.841958079E+00-0.844141964E+00-0.846332712E+00-0.848530103E+00 --0.850734753E+00-0.852946662E+00-0.855165830E+00-0.857392909E+00-0.859627519E+00 --0.861869645E+00-0.864119319E+00-0.866377381E+00-0.868644202E+00-0.870919757E+00 --0.873203527E+00-0.875495325E+00-0.877795878E+00-0.880105525E+00-0.882424264E+00 --0.884752524E+00-0.887090089E+00-0.889436663E+00-0.891793009E+00-0.894159314E+00 --0.896535350E+00-0.898921189E+00-0.901317055E+00-0.903723438E+00-0.906139991E+00 --0.908566719E+00-0.911003753E+00-0.913452046E+00-0.915911177E+00-0.918381317E+00 --0.920862525E+00-0.923354800E+00-0.925858143E+00-0.928373200E+00-0.930900182E+00 --0.933438848E+00-0.935989248E+00-0.938551382E+00-0.941125338E+00-0.943711957E+00 --0.946311031E+00-0.948922502E+00-0.951546432E+00-0.954182822E+00-0.956831760E+00 --0.959493916E+00-0.962169304E+00-0.964857925E+00-0.967559778E+00-0.970274864E+00 --0.973003182E+00-0.975744797E+00-0.978501097E+00-0.981271051E+00-0.984054859E+00 --0.986852579E+00-0.989664256E+00-0.992490600E+00-0.995331414E+00-0.998186479E+00 --0.100105621E+01-0.100394089E+01-0.100684046E+01-0.100975513E+01-0.101268473E+01 --0.101562954E+01-0.101859009E+01-0.102156591E+01-0.102455700E+01-0.102756335E+01 --0.103058344E+01-0.103362089E+01-0.103667781E+01-0.103975185E+01-0.104284182E+01 --0.838996634E+00-0.838725053E+00-0.838437387E+00-0.838133636E+00-0.837813768E+00 --0.837477850E+00-0.837126382E+00-0.836759364E+00-0.836376796E+00-0.835978678E+00 --0.835565010E+00-0.835134480E+00-0.834687432E+00-0.834224253E+00-0.833744822E+00 --0.833249112E+00-0.832737263E+00-0.832209277E+00-0.831665152E+00-0.831104785E+00 --0.830528159E+00-0.829935513E+00-0.829326656E+00-0.828701615E+00-0.828060389E+00 --0.827402978E+00-0.826729542E+00-0.826040202E+00-0.825334957E+00-0.824613758E+00 --0.823876454E+00-0.823123141E+00-0.822354168E+00-0.821569483E+00-0.820769081E+00 --0.819953112E+00-0.819121310E+00-0.818274422E+00-0.817412123E+00-0.816533741E+00 --0.815640235E+00-0.814731618E+00-0.813808091E+00-0.812869409E+00-0.811915574E+00 --0.810947212E+00-0.809964375E+00-0.808966244E+00-0.807953517E+00-0.806926370E+00 --0.805884802E+00-0.804828813E+00-0.803760260E+00-0.802676265E+00-0.801578495E+00 --0.800466950E+00-0.799341629E+00-0.798202874E+00-0.797052689E+00-0.795887467E+00 --0.794709944E+00-0.793520360E+00-0.792318715E+00-0.791105009E+00-0.789879882E+00 --0.788645518E+00-0.787402013E+00-0.786149367E+00-0.784887633E+00-0.783618706E+00 --0.782343638E+00-0.781062470E+00-0.779775444E+00-0.778484794E+00-0.777191056E+00 --0.775894343E+00-0.774594717E+00-0.773293917E+00-0.771993737E+00-0.770694373E+00 --0.769395826E+00-0.768098577E+00-0.766805310E+00-0.765516418E+00-0.764231899E+00 --0.762952011E+00-0.761678601E+00-0.760413520E+00-0.759157244E+00-0.757909773E+00 --0.756671107E+00-0.755442331E+00-0.754225557E+00-0.753022183E+00-0.751832207E+00 --0.750655630E+00-0.749492452E+00-0.748344485E+00-0.747213796E+00-0.746100475E+00 --0.745004523E+00-0.743925744E+00-0.742865854E+00-0.741826237E+00-0.740807449E+00 --0.739809445E+00-0.738832848E+00-0.737879619E+00-0.736949843E+00-0.736043518E+00 --0.735160488E+00-0.734302525E+00-0.733470954E+00-0.732665865E+00-0.731887258E+00 --0.731135470E+00-0.730412677E+00-0.729718780E+00-0.729053724E+00-0.728417509E+00 --0.727811084E+00-0.727236010E+00-0.726692286E+00-0.726179941E+00-0.725699095E+00 --0.725250131E+00-0.724835300E+00-0.724454069E+00-0.724106437E+00-0.723792406E+00 --0.723513392E+00-0.723270090E+00-0.723062027E+00-0.722890416E+00-0.722755734E+00 --0.722657910E+00-0.722596784E+00-0.722572404E+00-0.722585244E+00-0.722637054E+00 --0.722727947E+00-0.722857921E+00-0.723026976E+00-0.723235113E+00-0.723482653E+00 --0.723770705E+00-0.724099037E+00-0.724467649E+00-0.724876881E+00-0.725327575E+00 --0.725819723E+00-0.726353325E+00-0.726928791E+00-0.727546111E+00-0.728204685E+00 --0.728905620E+00-0.729648733E+00-0.730433830E+00-0.731260923E+00-0.732130374E+00 --0.733041973E+00-0.733995086E+00-0.734989431E+00-0.736025599E+00-0.737103589E+00 --0.738223401E+00-0.739385088E+00-0.740587741E+00-0.741830157E+00-0.743112336E+00 --0.744434279E+00-0.745795761E+00-0.747196332E+00-0.748636027E+00-0.750111977E+00 --0.751623819E+00-0.753171504E+00-0.754754423E+00-0.756372455E+00-0.758025545E+00 --0.759710541E+00-0.761425692E+00-0.763170302E+00-0.764944301E+00-0.766747439E+00 --0.768576420E+00-0.770430405E+00-0.772306296E+00-0.774203523E+00-0.776123525E+00 --0.778064357E+00-0.780021590E+00-0.781995639E+00-0.783982758E+00-0.785982937E+00 --0.787992953E+00-0.790010560E+00-0.792035759E+00-0.794068551E+00-0.796108747E+00 --0.798153834E+00-0.800200457E+00-0.802250573E+00-0.804305207E+00-0.806364134E+00 --0.808427471E+00-0.810495743E+00-0.812569205E+00-0.814647572E+00-0.816731042E+00 --0.818819897E+00-0.820913932E+00-0.823013538E+00-0.825119165E+00-0.827230812E+00 --0.829348481E+00-0.831472170E+00-0.833601764E+00-0.835737860E+00-0.837880791E+00 --0.840030622E+00-0.842187353E+00-0.844350983E+00-0.846521513E+00-0.848699431E+00 --0.850884909E+00-0.853077698E+00-0.855278327E+00-0.857486969E+00-0.859703660E+00 --0.861927837E+00-0.864159955E+00-0.866400831E+00-0.868650467E+00-0.870908860E+00 --0.873176165E+00-0.875451848E+00-0.877736700E+00-0.880030780E+00-0.882333926E+00 --0.884646706E+00-0.886968517E+00-0.889300221E+00-0.891641886E+00-0.893993512E+00 --0.896355097E+00-0.898726989E+00-0.901108987E+00-0.903501530E+00-0.905904825E+00 --0.908318416E+00-0.910742427E+00-0.913177770E+00-0.915624521E+00-0.918082603E+00 --0.920551764E+00-0.923031985E+00-0.925523606E+00-0.928027265E+00-0.930542962E+00 --0.933070712E+00-0.935610318E+00-0.938161658E+00-0.940724963E+00-0.943301131E+00 --0.945890172E+00-0.948492063E+00-0.951106477E+00-0.953733350E+00-0.956372944E+00 --0.959026097E+00-0.961692894E+00-0.964373182E+00-0.967066702E+00-0.969773455E+00 --0.972493583E+00-0.975227878E+00-0.977976417E+00-0.980739199E+00-0.983516105E+00 --0.986306923E+00-0.989111955E+00-0.991931877E+00-0.994766694E+00-0.997616213E+00 --0.100048083E+01-0.100336008E+01-0.100625450E+01-0.100916409E+01-0.101208876E+01 --0.101502886E+01-0.101798501E+01-0.102095717E+01-0.102394479E+01-0.102694766E+01 --0.102996499E+01-0.103299968E+01-0.103605172E+01-0.103912112E+01-0.104221081E+01 --0.840340437E+00-0.840075301E+00-0.839794080E+00-0.839496774E+00-0.839183384E+00 --0.838853909E+00-0.838508349E+00-0.838146721E+00-0.837770112E+00-0.837377953E+00 --0.836970245E+00-0.836545034E+00-0.836103099E+00-0.835644992E+00-0.835170869E+00 --0.834680470E+00-0.834173879E+00-0.833650984E+00-0.833111786E+00-0.832556285E+00 --0.831984505E+00-0.831396687E+00-0.830792883E+00-0.830173093E+00-0.829537092E+00 --0.828884868E+00-0.828216740E+00-0.827532707E+00-0.826832768E+00-0.826116924E+00 --0.825385237E+00-0.824637844E+00-0.823874832E+00-0.823095897E+00-0.822301543E+00 --0.821491770E+00-0.820666578E+00-0.819826293E+00-0.818970433E+00-0.818099367E+00 --0.817213177E+00-0.816311865E+00-0.815396661E+00-0.814465909E+00-0.813520113E+00 --0.812559842E+00-0.811585096E+00-0.810596158E+00-0.809593030E+00-0.808575483E+00 --0.807543680E+00-0.806498403E+00-0.805439696E+00-0.804367214E+00-0.803280896E+00 --0.802180803E+00-0.801067063E+00-0.799940897E+00-0.798802604E+00-0.797651580E+00 --0.796487425E+00-0.795311209E+00-0.794122873E+00-0.792923145E+00-0.791712752E+00 --0.790491693E+00-0.789260476E+00-0.788020100E+00-0.786770660E+00-0.785514094E+00 --0.784251189E+00-0.782981944E+00-0.781706378E+00-0.780425605E+00-0.779141645E+00 --0.777854516E+00-0.776564691E+00-0.775274002E+00-0.773982586E+00-0.772690443E+00 --0.771399125E+00-0.770109032E+00-0.768822748E+00-0.767540870E+00-0.766263512E+00 --0.764990137E+00-0.763721559E+00-0.762460096E+00-0.761207406E+00-0.759963540E+00 --0.758728497E+00-0.757503424E+00-0.756289557E+00-0.755087409E+00-0.753898545E+00 --0.752723009E+00-0.751560801E+00-0.750412907E+00-0.749281245E+00-0.748166668E+00 --0.747069460E+00-0.745989623E+00-0.744928655E+00-0.743887522E+00-0.742866241E+00 --0.741865447E+00-0.740885944E+00-0.739929702E+00-0.738996796E+00-0.738086858E+00 --0.737199923E+00-0.736337987E+00-0.735502176E+00-0.734692490E+00-0.733909067E+00 --0.733151914E+00-0.732423076E+00-0.731723081E+00-0.731051929E+00-0.730409620E+00 --0.729796465E+00-0.729214463E+00-0.728663639E+00-0.728143993E+00-0.727656630E+00 --0.727201210E+00-0.726777707E+00-0.726388280E+00-0.726032770E+00-0.725710803E+00 --0.725423186E+00-0.725171551E+00-0.724955101E+00-0.724775214E+00-0.724631966E+00 --0.724525464E+00-0.724455707E+00-0.724422697E+00-0.724426433E+00-0.724468599E+00 --0.724550078E+00-0.724670749E+00-0.724830387E+00-0.725028978E+00-0.725266523E+00 --0.725543990E+00-0.725862030E+00-0.726220630E+00-0.726619628E+00-0.727060089E+00 --0.727541809E+00-0.728064661E+00-0.728628643E+00-0.729233763E+00-0.729880310E+00 --0.730568849E+00-0.731299384E+00-0.732071914E+00-0.732886603E+00-0.733742722E+00 --0.734640537E+00-0.735579844E+00-0.736560457E+00-0.737582898E+00-0.738647161E+00 --0.739753282E+00-0.740899938E+00-0.742086138E+00-0.743312002E+00-0.744577529E+00 --0.745882783E+00-0.747227883E+00-0.748612223E+00-0.750032640E+00-0.751488948E+00 --0.752981148E+00-0.754509241E+00-0.756073226E+00-0.757672601E+00-0.759304627E+00 --0.760966676E+00-0.762658930E+00-0.764381688E+00-0.766133978E+00-0.767912784E+00 --0.769716510E+00-0.771545411E+00-0.773397481E+00-0.775270659E+00-0.777164947E+00 --0.779080863E+00-0.781012653E+00-0.782957210E+00-0.784914534E+00-0.786884626E+00 --0.788867485E+00-0.790859665E+00-0.792857375E+00-0.794860956E+00-0.796870409E+00 --0.798885633E+00-0.800903392E+00-0.802925983E+00-0.804953407E+00-0.806985664E+00 --0.809023246E+00-0.811065873E+00-0.813113016E+00-0.815166269E+00-0.817225034E+00 --0.819289185E+00-0.821358780E+00-0.823435056E+00-0.825517353E+00-0.827605703E+00 --0.829700495E+00-0.831801671E+00-0.833909121E+00-0.836023953E+00-0.838145597E+00 --0.840274406E+00-0.842410382E+00-0.844553524E+00-0.846703832E+00-0.848861326E+00 --0.851027030E+00-0.853200711E+00-0.855382367E+00-0.857571999E+00-0.859770208E+00 --0.861976422E+00-0.864191085E+00-0.866414404E+00-0.868646562E+00-0.870887560E+00 --0.873137397E+00-0.875396353E+00-0.877664731E+00-0.879942393E+00-0.882229640E+00 --0.884526801E+00-0.886833224E+00-0.889149672E+00-0.891476249E+00-0.893812956E+00 --0.896159793E+00-0.898517036E+00-0.900884914E+00-0.903263432E+00-0.905652653E+00 --0.908052857E+00-0.910463869E+00-0.912886261E+00-0.915320061E+00-0.917765269E+00 --0.920221769E+00-0.922689666E+00-0.925169601E+00-0.927661575E+00-0.930165587E+00 --0.932681637E+00-0.935209725E+00-0.937750006E+00-0.940302849E+00-0.942868566E+00 --0.945447155E+00-0.948038618E+00-0.950642955E+00-0.953260195E+00-0.955890460E+00 --0.958534356E+00-0.961191874E+00-0.963863013E+00-0.966547836E+00-0.969246112E+00 --0.971958402E+00-0.974684936E+00-0.977425712E+00-0.980180732E+00-0.982950073E+00 --0.985733939E+00-0.988532564E+00-0.991346003E+00-0.994174209E+00-0.997017441E+00 --0.999875667E+00-0.100274922E+01-0.100563841E+01-0.100854284E+01-0.101146250E+01 --0.101439803E+01-0.101734960E+01-0.102031721E+01-0.102330086E+01-0.102630028E+01 --0.102931485E+01-0.103234677E+01-0.103539605E+01-0.103846269E+01-0.104154668E+01 --0.841731576E+00-0.841472884E+00-0.841198108E+00-0.840907247E+00-0.840600301E+00 --0.840277271E+00-0.839938156E+00-0.839582956E+00-0.839211672E+00-0.838824303E+00 --0.838420850E+00-0.838000788E+00-0.837563870E+00-0.837110707E+00-0.836641369E+00 --0.836155902E+00-0.835654206E+00-0.835136176E+00-0.834601843E+00-0.834051207E+00 --0.833484278E+00-0.832901273E+00-0.832302283E+00-0.831687190E+00-0.831055893E+00 --0.830408744E+00-0.829745545E+00-0.829066514E+00-0.828371651E+00-0.827660956E+00 --0.826934430E+00-0.826192398E+00-0.825434816E+00-0.824661777E+00-0.823873263E+00 --0.823069275E+00-0.822249811E+00-0.821415204E+00-0.820565728E+00-0.819701386E+00 --0.818822176E+00-0.817928485E+00-0.817019467E+00-0.816096001E+00-0.815158296E+00 --0.814206116E+00-0.813239460E+00-0.812258837E+00-0.811265310E+00-0.810256523E+00 --0.809234154E+00-0.808198354E+00-0.807149123E+00-0.806087171E+00-0.805012306E+00 --0.803923033E+00-0.802820884E+00-0.801706609E+00-0.800580208E+00-0.799441680E+00 --0.798290924E+00-0.797126866E+00-0.795951942E+00-0.794766354E+00-0.793570099E+00 --0.792363180E+00-0.791145594E+00-0.789917343E+00-0.788680053E+00-0.787435721E+00 --0.786185058E+00-0.784928143E+00-0.783664976E+00-0.782395556E+00-0.781120971E+00 --0.779843120E+00-0.778563357E+00-0.777282867E+00-0.776001650E+00-0.774719663E+00 --0.773436431E+00-0.772153716E+00-0.770874158E+00-0.769598580E+00-0.768326985E+00 --0.767059384E+00-0.765797371E+00-0.764541838E+00-0.763292938E+00-0.762052387E+00 --0.760820491E+00-0.759599153E+00-0.758388971E+00-0.757189945E+00-0.756002076E+00 --0.754827312E+00-0.753665951E+00-0.752518908E+00-0.751388131E+00-0.750273450E+00 --0.749175062E+00-0.748093965E+00-0.747031905E+00-0.745989694E+00-0.744967318E+00 --0.743964778E+00-0.742982485E+00-0.742022811E+00-0.741086103E+00-0.740172362E+00 --0.739281587E+00-0.738415524E+00-0.737575696E+00-0.736761654E+00-0.735973215E+00 --0.735211042E+00-0.734476052E+00-0.733769690E+00-0.733092171E+00-0.732443537E+00 --0.731824583E+00-0.731235605E+00-0.730677406E+00-0.730150580E+00-0.729655740E+00 --0.729192962E+00-0.728762287E+00-0.728365205E+00-0.728002199E+00-0.727673267E+00 --0.727378411E+00-0.727117110E+00-0.726891763E+00-0.726703064E+00-0.726551013E+00 --0.726435610E+00-0.726356856E+00-0.726314750E+00-0.726309292E+00-0.726341617E+00 --0.726413167E+00-0.726523577E+00-0.726672937E+00-0.726861250E+00-0.727088517E+00 --0.727355518E+00-0.727663346E+00-0.728011837E+00-0.728400757E+00-0.728829850E+00 --0.729299475E+00-0.729810231E+00-0.730362118E+00-0.730955170E+00-0.731589731E+00 --0.732265720E+00-0.732983690E+00-0.733743276E+00-0.734544260E+00-0.735386640E+00 --0.736270606E+00-0.737195917E+00-0.738162471E+00-0.739170380E+00-0.740220616E+00 --0.741310652E+00-0.742440453E+00-0.743610368E+00-0.744820097E+00-0.746069490E+00 --0.747358604E+00-0.748685661E+00-0.750049729E+00-0.751450906E+00-0.752888080E+00 --0.754361080E+00-0.755869905E+00-0.757414555E+00-0.758993130E+00-0.760602084E+00 --0.762241041E+00-0.763910355E+00-0.765610026E+00-0.767338490E+00-0.769092042E+00 --0.770870514E+00-0.772673906E+00-0.774502048E+00-0.776351404E+00-0.778220428E+00 --0.780105954E+00-0.782007914E+00-0.783924108E+00-0.785853251E+00-0.787795344E+00 --0.789750226E+00-0.791712106E+00-0.793680179E+00-0.795654444E+00-0.797634652E+00 --0.799620048E+00-0.801609613E+00-0.803603722E+00-0.805603284E+00-0.807608300E+00 --0.809618769E+00-0.811634691E+00-0.813656139E+00-0.815683437E+00-0.817716621E+00 --0.819755691E+00-0.821800858E+00-0.823852679E+00-0.825911423E+00-0.827976551E+00 --0.830048061E+00-0.832125932E+00-0.834210732E+00-0.836303183E+00-0.838403284E+00 --0.840510914E+00-0.842625728E+00-0.844747708E+00-0.846877338E+00-0.849015330E+00 --0.851161355E+00-0.853315244E+00-0.855477277E+00-0.857647453E+00-0.859826422E+00 --0.862013964E+00-0.864210256E+00-0.866415640E+00-0.868630124E+00-0.870853634E+00 --0.873085984E+00-0.875327526E+00-0.877579219E+00-0.879840281E+00-0.882111183E+00 --0.884391927E+00-0.886682651E+00-0.888983618E+00-0.891294715E+00-0.893615947E+00 --0.895947808E+00-0.898290560E+00-0.900644203E+00-0.903008414E+00-0.905383560E+00 --0.907769724E+00-0.910167444E+00-0.912576446E+00-0.914996746E+00-0.917428466E+00 --0.919872287E+00-0.922327802E+00-0.924795356E+00-0.927274948E+00-0.929766578E+00 --0.932270441E+00-0.934787283E+00-0.937316717E+00-0.939858579E+00-0.942413383E+00 --0.944981130E+00-0.947561819E+00-0.950155451E+00-0.952762855E+00-0.955383805E+00 --0.958018179E+00-0.960666129E+00-0.963327657E+00-0.966003068E+00-0.968692999E+00 --0.971397119E+00-0.974115406E+00-0.976847953E+00-0.979594760E+00-0.982356128E+00 --0.985132875E+00-0.987924482E+00-0.990730857E+00-0.993551999E+00-0.996388743E+00 --0.999240737E+00-0.100210828E+01-0.100499152E+01-0.100789044E+01-0.101080575E+01 --0.101373653E+01-0.101668331E+01-0.101964608E+01-0.102262504E+01-0.102562186E+01 --0.102863291E+01-0.103166176E+01-0.103470843E+01-0.103777255E+01-0.104085377E+01 --0.843170049E+00-0.842917802E+00-0.842649470E+00-0.842365054E+00-0.842064553E+00 --0.841747968E+00-0.841415234E+00-0.841065561E+00-0.840699242E+00-0.840316277E+00 --0.839916665E+00-0.839501439E+00-0.839069671E+00-0.838621463E+00-0.838156871E+00 --0.837675848E+00-0.837178607E+00-0.836665147E+00-0.836135469E+00-0.835589572E+00 --0.835027478E+00-0.834449138E+00-0.833854542E+00-0.833243695E+00-0.832616667E+00 --0.831973872E+00-0.831315369E+00-0.830641131E+00-0.829951090E+00-0.829245256E+00 --0.828523619E+00-0.827786209E+00-0.827033498E+00-0.826265650E+00-0.825482655E+00 --0.824684237E+00-0.823870553E+00-0.823041882E+00-0.822198437E+00-0.821340246E+00 --0.820467312E+00-0.819579634E+00-0.818677220E+00-0.817760559E+00-0.816829853E+00 --0.815885101E+00-0.814926303E+00-0.813954198E+00-0.812967812E+00-0.811967869E+00 --0.810954779E+00-0.809928455E+00-0.808888701E+00-0.807836138E+00-0.806770781E+00 --0.805692667E+00-0.804602375E+00-0.803499701E+00-0.802384643E+00-0.801257202E+00 --0.800117948E+00-0.798967629E+00-0.797806007E+00-0.796633669E+00-0.795450615E+00 --0.794256844E+00-0.793052356E+00-0.791838219E+00-0.790615135E+00-0.789382885E+00 --0.788144406E+00-0.786899742E+00-0.785648893E+00-0.784391859E+00-0.783128594E+00 --0.781860934E+00-0.780591042E+00-0.779319958E+00-0.778047682E+00-0.776774213E+00 --0.775500022E+00-0.774227238E+00-0.772955952E+00-0.771686443E+00-0.770420611E+00 --0.769158993E+00-0.767903591E+00-0.766654669E+00-0.765412226E+00-0.764175708E+00 --0.762946809E+00-0.761729091E+00-0.760522560E+00-0.759327219E+00-0.758143035E+00 --0.756970007E+00-0.755808135E+00-0.754661791E+00-0.753531969E+00-0.752418242E+00 --0.751320610E+00-0.750238977E+00-0.749175604E+00-0.748132039E+00-0.747107733E+00 --0.746103077E+00-0.745118365E+00-0.744155969E+00-0.743216357E+00-0.742299529E+00 --0.741405305E+00-0.740534212E+00-0.739688925E+00-0.738869257E+00-0.738075564E+00 --0.737308794E+00-0.736568955E+00-0.735856377E+00-0.735172492E+00-0.734517810E+00 --0.733893092E+00-0.733298349E+00-0.732733574E+00-0.732198859E+00-0.731696424E+00 --0.731226053E+00-0.730787744E+00-0.730382864E+00-0.730012203E+00-0.729675382E+00 --0.729372635E+00-0.729104514E+00-0.728870392E+00-0.728671793E+00-0.728509896E+00 --0.728384781E+00-0.728296382E+00-0.728244632E+00-0.728229529E+00-0.728252205E+00 --0.728313798E+00-0.728414235E+00-0.728553516E+00-0.728731641E+00-0.728948610E+00 --0.729204816E+00-0.729501538E+00-0.729838409E+00-0.730215466E+00-0.730632711E+00 --0.731090143E+00-0.731588788E+00-0.732128576E+00-0.732709578E+00-0.733332122E+00 --0.733995881E+00-0.734700292E+00-0.735446138E+00-0.736233417E+00-0.737062126E+00 --0.737931998E+00-0.738842857E+00-0.739794720E+00-0.740787989E+00-0.741821243E+00 --0.742893969E+00-0.744006809E+00-0.745159772E+00-0.746353367E+00-0.747586389E+00 --0.748856427E+00-0.750163476E+00-0.751507537E+00-0.752888610E+00-0.754306693E+00 --0.755760792E+00-0.757250897E+00-0.758773956E+00-0.760328010E+00-0.761913060E+00 --0.763529066E+00-0.765174916E+00-0.766851124E+00-0.768555187E+00-0.770283928E+00 --0.772037553E+00-0.773816012E+00-0.775620601E+00-0.777443133E+00-0.779281237E+00 --0.781135805E+00-0.783006837E+00-0.784894334E+00-0.786796138E+00-0.788710305E+00 --0.790635776E+00-0.792567267E+00-0.794504949E+00-0.796448735E+00-0.798398773E+00 --0.800354539E+00-0.802314344E+00-0.804280266E+00-0.806252009E+00-0.808229572E+00 --0.810212891E+00-0.812201665E+00-0.814195893E+00-0.816197053E+00-0.818204447E+00 --0.820218362E+00-0.822239137E+00-0.824266773E+00-0.826300734E+00-0.828341558E+00 --0.830389296E+00-0.832444094E+00-0.834506507E+00-0.836576567E+00-0.838654277E+00 --0.840739638E+00-0.842832592E+00-0.844933171E+00-0.847042014E+00-0.849159122E+00 --0.851284494E+00-0.853418526E+00-0.855560816E+00-0.857711245E+00-0.859870744E+00 --0.862039644E+00-0.864217701E+00-0.866404726E+00-0.868600843E+00-0.870806052E+00 --0.873020354E+00-0.875245456E+00-0.877479646E+00-0.879723702E+00-0.881977882E+00 --0.884242161E+00-0.886516327E+00-0.888801401E+00-0.891096308E+00-0.893402105E+00 --0.895718794E+00-0.898046373E+00-0.900384843E+00-0.902734204E+00-0.905095026E+00 --0.907466971E+00-0.909850519E+00-0.912245825E+00-0.914652553E+00-0.917070878E+00 --0.919501350E+00-0.921944204E+00-0.924399260E+00-0.926866354E+00-0.929345688E+00 --0.931837542E+00-0.934342043E+00-0.936859548E+00-0.939390218E+00-0.941933958E+00 --0.944490640E+00-0.947060419E+00-0.949643604E+00-0.952240287E+00-0.954850848E+00 --0.957475424E+00-0.960113688E+00-0.962765389E+00-0.965431476E+00-0.968112103E+00 --0.970807269E+00-0.973517019E+00-0.976241213E+00-0.978979686E+00-0.981733160E+00 --0.984501927E+00-0.987286080E+00-0.990085390E+00-0.992899617E+00-0.995729416E+00 --0.998575179E+00-0.100143672E+01-0.100431387E+01-0.100720711E+01-0.101011660E+01 --0.101304238E+01-0.101598417E+01-0.101894234E+01-0.102191742E+01-0.102490941E+01 --0.102791678E+01-0.103094197E+01-0.103398496E+01-0.103704577E+01-0.104012440E+01 --0.844655857E+00-0.844410055E+00-0.844148488E+00-0.843870494E+00-0.843575855E+00 --0.843264569E+00-0.842936638E+00-0.842592060E+00-0.842230836E+00-0.841852966E+00 --0.841458450E+00-0.841047854E+00-0.840620875E+00-0.840177531E+00-0.839717685E+00 --0.839241106E+00-0.838748309E+00-0.838239294E+00-0.837713913E+00-0.837171979E+00 --0.836613583E+00-0.836039360E+00-0.835449045E+00-0.834842444E+00-0.834219684E+00 --0.833581171E+00-0.832926998E+00-0.832256993E+00-0.831570970E+00-0.830869231E+00 --0.830152058E+00-0.829419298E+00-0.828671384E+00-0.827908256E+00-0.827129940E+00 --0.826336341E+00-0.825527397E+00-0.824704050E+00-0.823866317E+00-0.823014037E+00 --0.822147013E+00-0.821265245E+00-0.820368838E+00-0.819459025E+00-0.818535192E+00 --0.817597486E+00-0.816645725E+00-0.815680375E+00-0.814702487E+00-0.813710519E+00 --0.812705391E+00-0.811687105E+00-0.810655659E+00-0.809612325E+00-0.808556183E+00 --0.807488376E+00-0.806408674E+00-0.805316590E+00-0.804212122E+00-0.803095343E+00 --0.801967580E+00-0.800829317E+00-0.799680556E+00-0.798521083E+00-0.797350762E+00 --0.796169740E+00-0.794978929E+00-0.793778787E+00-0.792569315E+00-0.791350387E+00 --0.790124178E+00-0.788891785E+00-0.787653207E+00-0.786408290E+00-0.785156905E+00 --0.783901573E+00-0.782643452E+00-0.781382542E+00-0.780119015E+00-0.778854047E+00 --0.777589128E+00-0.776325708E+00-0.775063787E+00-0.773803365E+00-0.772544441E+00 --0.771289010E+00-0.770039763E+00-0.768796670E+00-0.767559766E+00-0.766329051E+00 --0.765104397E+00-0.763890290E+00-0.762687365E+00-0.761495624E+00-0.760315064E+00 --0.759145445E+00-0.757986363E+00-0.756841517E+00-0.755711573E+00-0.754597985E+00 --0.753500585E+00-0.752419383E+00-0.751355472E+00-0.750309642E+00-0.749283026E+00 --0.748276060E+00-0.747288865E+00-0.746323941E+00-0.745381664E+00-0.744462030E+00 --0.743565156E+00-0.742691042E+00-0.741839964E+00-0.741014670E+00-0.740216353E+00 --0.739444986E+00-0.738700550E+00-0.737983046E+00-0.737292902E+00-0.736632361E+00 --0.736001190E+00-0.735399667E+00-0.734827790E+00-0.734286072E+00-0.733776525E+00 --0.733299279E+00-0.732854334E+00-0.732441257E+00-0.732061068E+00-0.731714909E+00 --0.731403377E+00-0.731126470E+00-0.730884189E+00-0.730676637E+00-0.730505326E+00 --0.730370716E+00-0.730272807E+00-0.730211599E+00-0.730187168E+00-0.730200029E+00 --0.730251433E+00-0.730341484E+00-0.730470183E+00-0.730637528E+00-0.730843914E+00 --0.731089336E+00-0.731373759E+00-0.731698490E+00-0.732063604E+00-0.732469100E+00 --0.732914751E+00-0.733400508E+00-0.733928002E+00-0.734496372E+00-0.735105275E+00 --0.735755048E+00-0.736445718E+00-0.737177712E+00-0.737951014E+00-0.738764976E+00 --0.739619567E+00-0.740515112E+00-0.741451769E+00-0.742428623E+00-0.743445084E+00 --0.744501359E+00-0.745597623E+00-0.746734026E+00-0.747909864E+00-0.749123227E+00 --0.750373623E+00-0.751661051E+00-0.752985510E+00-0.754347002E+00-0.755745346E+00 --0.757178367E+00-0.758646928E+00-0.760146396E+00-0.761676419E+00-0.763237022E+00 --0.764828548E+00-0.766451068E+00-0.768104089E+00-0.769783627E+00-0.771487127E+00 --0.773214220E+00-0.774964865E+00-0.776740305E+00-0.778534732E+00-0.780344743E+00 --0.782170339E+00-0.784011519E+00-0.785868283E+00-0.787740632E+00-0.789629232E+00 --0.791523740E+00-0.793423689E+00-0.795329990E+00-0.797242643E+00-0.799161646E+00 --0.801087001E+00-0.803017484E+00-0.804954408E+00-0.806897839E+00-0.808847302E+00 --0.810802585E+00-0.812763688E+00-0.814731246E+00-0.816705916E+00-0.818686527E+00 --0.820675127E+00-0.822670646E+00-0.824673025E+00-0.826682428E+00-0.828699341E+00 --0.830723157E+00-0.832753986E+00-0.834793174E+00-0.836840721E+00-0.838896263E+00 --0.840959410E+00-0.843030207E+00-0.845108937E+00-0.847196420E+00-0.849292707E+00 --0.851397204E+00-0.853510217E+00-0.855632554E+00-0.857763113E+00-0.859903072E+00 --0.862052433E+00-0.864211194E+00-0.866379528E+00-0.868557285E+00-0.870744339E+00 --0.872941274E+00-0.875147812E+00-0.877364339E+00-0.879591448E+00-0.881828597E+00 --0.884075870E+00-0.886333285E+00-0.888601614E+00-0.890880764E+00-0.893170832E+00 --0.895471978E+00-0.897784202E+00-0.900107504E+00-0.902441885E+00-0.904787163E+00 --0.907144708E+00-0.909513933E+00-0.911894845E+00-0.914287618E+00-0.916692475E+00 --0.919109491E+00-0.921538682E+00-0.923980646E+00-0.926434963E+00-0.928901801E+00 --0.931381243E+00-0.933873689E+00-0.936379157E+00-0.938897649E+00-0.941429740E+00 --0.943975065E+00-0.946533805E+00-0.949106025E+00-0.951692118E+00-0.954292129E+00 --0.956906057E+00-0.959533957E+00-0.962176200E+00-0.964832982E+00-0.967504304E+00 --0.970190165E+00-0.972890566E+00-0.975605507E+00-0.978335699E+00-0.981081163E+00 --0.983841921E+00-0.986617972E+00-0.989409494E+00-0.992216652E+00-0.995039460E+00 --0.997878226E+00-0.100073293E+01-0.100360380E+01-0.100649085E+01-0.100939459E+01 --0.101231487E+01-0.101525129E+01-0.101820462E+01-0.102117487E+01-0.102416202E+01 --0.102716572E+01-0.103018723E+01-0.103322656E+01-0.103628370E+01-0.103935865E+01 --0.846192163E+00-0.845952557E+00-0.845696305E+00-0.845423407E+00-0.845133863E+00 --0.844827673E+00-0.844504837E+00-0.844165355E+00-0.843809226E+00-0.843436452E+00 --0.843047031E+00-0.842641065E+00-0.842218567E+00-0.841779516E+00-0.841323960E+00 --0.840851917E+00-0.840363322E+00-0.839858174E+00-0.839336473E+00-0.838798221E+00 --0.838243467E+00-0.837672707E+00-0.837086032E+00-0.836483442E+00-0.835864838E+00 --0.835230208E+00-0.834579677E+00-0.833913246E+00-0.833230913E+00-0.832533066E+00 --0.831819874E+00-0.831091096E+00-0.830347263E+00-0.829588502E+00-0.828814628E+00 --0.828025553E+00-0.827221393E+00-0.826402801E+00-0.825569808E+00-0.824722413E+00 --0.823860616E+00-0.822984461E+00-0.822094053E+00-0.821190471E+00-0.820272900E+00 --0.819341275E+00-0.818395596E+00-0.817436531E+00-0.816464969E+00-0.815480864E+00 --0.814483711E+00-0.813473399E+00-0.812450144E+00-0.811415128E+00-0.810368080E+00 --0.809308940E+00-0.808238341E+00-0.807156332E+00-0.806062455E+00-0.804956750E+00 --0.803840522E+00-0.802713794E+00-0.801576507E+00-0.800428543E+00-0.799269756E+00 --0.798101519E+00-0.796924337E+00-0.795737979E+00-0.794542119E+00-0.793336927E+00 --0.792123096E+00-0.790903168E+00-0.789676733E+00-0.788443784E+00-0.787204363E+00 --0.785961123E+00-0.784714972E+00-0.783465578E+00-0.782212939E+00-0.780958456E+00 --0.779702551E+00-0.778448105E+00-0.777195137E+00-0.775943649E+00-0.774693536E+00 --0.773445211E+00-0.772202208E+00-0.770965046E+00-0.769733744E+00-0.768508558E+00 --0.767289198E+00-0.766078701E+00-0.764879619E+00-0.763691372E+00-0.762513676E+00 --0.761346531E+00-0.760191008E+00-0.759049335E+00-0.757921216E+00-0.756807399E+00 --0.755709788E+00-0.754628570E+00-0.753565290E+00-0.752520038E+00-0.751492814E+00 --0.750483702E+00-0.749493868E+00-0.748526148E+00-0.747581188E+00-0.746658994E+00 --0.745759547E+00-0.744882812E+00-0.744028789E+00-0.743198387E+00-0.742395123E+00 --0.741618630E+00-0.740868909E+00-0.740145959E+00-0.739450186E+00-0.738783266E+00 --0.738145380E+00-0.737536726E+00-0.736957715E+00-0.736408904E+00-0.735892228E+00 --0.735407497E+00-0.734954922E+00-0.734534540E+00-0.734146317E+00-0.733790940E+00 --0.733470453E+00-0.733184855E+00-0.732933856E+00-0.732717416E+00-0.732535602E+00 --0.732391522E+00-0.732284200E+00-0.732213150E+00-0.732178970E+00-0.732181769E+00 --0.732222072E+00-0.732300990E+00-0.732418569E+00-0.732575035E+00-0.732770141E+00 --0.733003886E+00-0.733276483E+00-0.733589240E+00-0.733942379E+00-0.734335901E+00 --0.734769777E+00-0.735243524E+00-0.735757121E+00-0.736311234E+00-0.736906216E+00 --0.737542059E+00-0.738218805E+00-0.738936109E+00-0.739694030E+00-0.740492522E+00 --0.741331607E+00-0.742211474E+00-0.743131108E+00-0.744090504E+00-0.745090016E+00 --0.746129840E+00-0.747209403E+00-0.748327119E+00-0.749482728E+00-0.750676915E+00 --0.751908145E+00-0.753176407E+00-0.754481652E+00-0.755822362E+00-0.757197822E+00 --0.758608030E+00-0.760052931E+00-0.761529510E+00-0.763036643E+00-0.764574332E+00 --0.766142576E+00-0.767740600E+00-0.769367947E+00-0.771020414E+00-0.772696427E+00 --0.774395580E+00-0.776117995E+00-0.777864575E+00-0.779630571E+00-0.781411975E+00 --0.783208818E+00-0.785021099E+00-0.786848819E+00-0.788691979E+00-0.790545776E+00 --0.792408181E+00-0.794277055E+00-0.796152332E+00-0.798034013E+00-0.799922096E+00 --0.801816583E+00-0.803717669E+00-0.805625221E+00-0.807539264E+00-0.809459814E+00 --0.811386788E+00-0.813320315E+00-0.815260928E+00-0.817208626E+00-0.819163194E+00 --0.821125314E+00-0.823095148E+00-0.825072507E+00-0.827056491E+00-0.829048418E+00 --0.831048063E+00-0.833055363E+00-0.835071023E+00-0.837095042E+00-0.839127420E+00 --0.841168157E+00-0.843217254E+00-0.845273738E+00-0.847339632E+00-0.849414331E+00 --0.851498038E+00-0.853590681E+00-0.855692185E+00-0.857802993E+00-0.859923227E+00 --0.862052888E+00-0.864191976E+00-0.866340491E+00-0.868498990E+00-0.870667520E+00 --0.872845811E+00-0.875033845E+00-0.877232321E+00-0.879441596E+00-0.881661606E+00 --0.883891848E+00-0.886132297E+00-0.888383839E+00-0.890646682E+00-0.892920801E+00 --0.895205970E+00-0.897502219E+00-0.899809778E+00-0.902128965E+00-0.904459582E+00 --0.906801971E+00-0.909156416E+00-0.911522808E+00-0.913901287E+00-0.916292002E+00 --0.918695064E+00-0.921110845E+00-0.923539342E+00-0.925980552E+00-0.928434206E+00 --0.930900985E+00-0.933380890E+00-0.935873881E+00-0.938380341E+00-0.940900340E+00 --0.943433825E+00-0.945981001E+00-0.948542121E+00-0.951117161E+00-0.953706235E+00 --0.956309623E+00-0.958927325E+00-0.961559334E+00-0.964206026E+00-0.966867426E+00 --0.969543465E+00-0.972234486E+00-0.974940608E+00-0.977661853E+00-0.980398558E+00 --0.983150928E+00-0.985918965E+00-0.988702577E+00-0.991501910E+00-0.994317306E+00 --0.997148695E+00-0.999996483E+00-0.100286073E+01-0.100574142E+01-0.100863855E+01 --0.101155253E+01-0.101448363E+01-0.101743185E+01-0.102039720E+01-0.102337970E+01 --0.102637966E+01-0.102939724E+01-0.103243246E+01-0.103548532E+01-0.103855581E+01 --0.847778222E+00-0.847543409E+00-0.847291979E+00-0.847023931E+00-0.846739266E+00 --0.846437983E+00-0.846120083E+00-0.845785565E+00-0.845434430E+00-0.845066677E+00 --0.844682307E+00-0.844281363E+00-0.843863086E+00-0.843427933E+00-0.842975964E+00 --0.842507482E+00-0.842022517E+00-0.841521057E+00-0.841003037E+00-0.840468465E+00 --0.839917324E+00-0.839350026E+00-0.838766885E+00-0.838167664E+00-0.837552182E+00 --0.836920243E+00-0.836272774E+00-0.835609816E+00-0.834931057E+00-0.834236397E+00 --0.833527006E+00-0.832801748E+00-0.832061560E+00-0.831306444E+00-0.830536400E+00 --0.829751402E+00-0.828951367E+00-0.828137184E+00-0.827308773E+00-0.826465936E+00 --0.825608674E+00-0.824736986E+00-0.823851531E+00-0.822952709E+00-0.822040716E+00 --0.821115173E+00-0.820175461E+00-0.819222666E+00-0.818257374E+00-0.817279585E+00 --0.816289726E+00-0.815287308E+00-0.814271836E+00-0.813244750E+00-0.812206133E+00 --0.811155713E+00-0.810093747E+00-0.809020327E+00-0.807935453E+00-0.806839986E+00 --0.805734515E+00-0.804618428E+00-0.803491707E+00-0.802354304E+00-0.801207130E+00 --0.800051010E+00-0.798885946E+00-0.797711960E+00-0.796528877E+00-0.795337916E+00 --0.794138637E+00-0.792931280E+00-0.791717502E+00-0.790497257E+00-0.789270800E+00 --0.788039028E+00-0.786803191E+00-0.785564111E+00-0.784322707E+00-0.783079227E+00 --0.781833418E+00-0.780587745E+00-0.779343550E+00-0.778100920E+00-0.776859847E+00 --0.775620209E+00-0.774384481E+00-0.773154593E+00-0.771930546E+00-0.770712463E+00 --0.769500553E+00-0.768295101E+00-0.767099272E+00-0.765913512E+00-0.764738303E+00 --0.763573666E+00-0.762421414E+00-0.761282716E+00-0.760157573E+00-0.759045982E+00 --0.757948251E+00-0.756867444E+00-0.755804409E+00-0.754759148E+00-0.753731659E+00 --0.752722066E+00-0.751731205E+00-0.750760398E+00-0.749812304E+00-0.748886922E+00 --0.747984252E+00-0.747104675E+00-0.746247964E+00-0.745414416E+00-0.744606133E+00 --0.743823638E+00-0.743067914E+00-0.742338748E+00-0.741637603E+00-0.740965494E+00 --0.740322420E+00-0.739708239E+00-0.739122688E+00-0.738566040E+00-0.738041036E+00 --0.737548317E+00-0.737087885E+00-0.736659710E+00-0.736263728E+00-0.735899938E+00 --0.735570381E+00-0.735275820E+00-0.735016149E+00-0.734791367E+00-0.734601554E+00 --0.734446749E+00-0.734328130E+00-0.734246571E+00-0.734202082E+00-0.734194663E+00 --0.734224250E+00-0.734291759E+00-0.734397909E+00-0.734542699E+00-0.734726127E+00 --0.734948195E+00-0.735208969E+00-0.735509674E+00-0.735850250E+00-0.736230675E+00 --0.736650950E+00-0.737111073E+00-0.737611045E+00-0.738151056E+00-0.738732255E+00 --0.739354179E+00-0.740016058E+00-0.740717896E+00-0.741460321E+00-0.742243354E+00 --0.743066516E+00-0.743929292E+00-0.744831684E+00-0.745773634E+00-0.746756038E+00 --0.747778519E+00-0.748838853E+00-0.749937080E+00-0.751073201E+00-0.752247432E+00 --0.753459699E+00-0.754708098E+00-0.755991246E+00-0.757309144E+00-0.758661790E+00 --0.760049190E+00-0.761471422E+00-0.762924872E+00-0.764408052E+00-0.765920980E+00 --0.767463656E+00-0.769036055E+00-0.770635240E+00-0.772259529E+00-0.773908713E+00 --0.775581316E+00-0.777277266E+00-0.778993182E+00-0.780727179E+00-0.782478996E+00 --0.784246476E+00-0.786029394E+00-0.787827752E+00-0.789638004E+00-0.791457845E+00 --0.793287485E+00-0.795125436E+00-0.796969691E+00-0.798820349E+00-0.800677502E+00 --0.802542048E+00-0.804413112E+00-0.806290211E+00-0.808175063E+00-0.810066515E+00 --0.811964693E+00-0.813870372E+00-0.815783496E+00-0.817704065E+00-0.819632079E+00 --0.821567995E+00-0.823511628E+00-0.825462980E+00-0.827422053E+00-0.829388846E+00 --0.831364170E+00-0.833347825E+00-0.835339807E+00-0.837340115E+00-0.839348750E+00 --0.841365712E+00-0.843391307E+00-0.845426706E+00-0.847470798E+00-0.849524040E+00 --0.851586168E+00-0.853657182E+00-0.855737603E+00-0.857828125E+00-0.859928184E+00 --0.862037669E+00-0.864156582E+00-0.866285267E+00-0.868424458E+00-0.870574166E+00 --0.872733912E+00-0.874903553E+00-0.877083978E+00-0.879275203E+00-0.881477227E+00 --0.883690121E+00-0.885913617E+00-0.888148372E+00-0.890394432E+00-0.892651740E+00 --0.894920206E+00-0.897200390E+00-0.899492214E+00-0.901795481E+00-0.904110460E+00 --0.906437663E+00-0.908777168E+00-0.911128906E+00-0.913492748E+00-0.915868821E+00 --0.918258041E+00-0.920660198E+00-0.923074953E+00-0.925502425E+00-0.927942820E+00 --0.930396407E+00-0.932863133E+00-0.935343289E+00-0.937836983E+00-0.940345098E+00 --0.942867381E+00-0.945402561E+00-0.947951686E+00-0.950514734E+00-0.953092569E+00 --0.955685349E+00-0.958292286E+00-0.960913668E+00-0.963550000E+00-0.966201073E+00 --0.968867195E+00-0.971548611E+00-0.974245679E+00-0.976957268E+00-0.979684984E+00 --0.982429000E+00-0.985188617E+00-0.987963899E+00-0.990755096E+00-0.993562436E+00 --0.996385737E+00-0.999226174E+00-0.100208356E+01-0.100495741E+01-0.100784781E+01 --0.101075575E+01-0.101368080E+01-0.101662298E+01-0.101958313E+01-0.102256085E+01 --0.102555634E+01-0.102856946E+01-0.103160021E+01-0.103464860E+01-0.103771359E+01 --0.849405228E+00-0.849179223E+00-0.848935510E+00-0.848673728E+00-0.848393843E+00 --0.848097340E+00-0.847784219E+00-0.847454481E+00-0.847108126E+00-0.846745153E+00 --0.846365563E+00-0.845968687E+00-0.845554523E+00-0.845123184E+00-0.844674736E+00 --0.844209355E+00-0.843727490E+00-0.843229143E+00-0.842714313E+00-0.842182999E+00 --0.841635139E+00-0.841071010E+00-0.840490620E+00-0.839893970E+00-0.839281059E+00 --0.838651901E+00-0.838007055E+00-0.837346732E+00-0.836670934E+00-0.835979659E+00 --0.835273255E+00-0.834551202E+00-0.833814347E+00-0.833062454E+00-0.832295521E+00 --0.831513550E+00-0.830716838E+00-0.829906082E+00-0.829081301E+00-0.828242509E+00 --0.827389665E+00-0.826522320E+00-0.825641517E+00-0.824747347E+00-0.823839809E+00 --0.822919181E+00-0.821985306E+00-0.821038781E+00-0.820079759E+00-0.819108178E+00 --0.818123875E+00-0.817127236E+00-0.816119085E+00-0.815099338E+00-0.814067997E+00 --0.813025061E+00-0.811971158E+00-0.810906038E+00-0.809829538E+00-0.808742855E+00 --0.807646403E+00-0.806540181E+00-0.805424044E+00-0.804297952E+00-0.803162697E+00 --0.802018166E+00-0.800864360E+00-0.799701277E+00-0.798530000E+00-0.797351623E+00 --0.796164675E+00-0.794970227E+00-0.793769357E+00-0.792561567E+00-0.791348426E+00 --0.790129965E+00-0.788906184E+00-0.787677985E+00-0.786447741E+00-0.785215223E+00 --0.783980429E+00-0.782743873E+00-0.781508785E+00-0.780275466E+00-0.779043590E+00 --0.777813158E+00-0.776584798E+00-0.775362029E+00-0.774145097E+00-0.772934059E+00 --0.771728914E+00-0.770529664E+00-0.769338781E+00-0.768157906E+00-0.766987002E+00 --0.765826118E+00-0.764676392E+00-0.763539992E+00-0.762416975E+00-0.761307383E+00 --0.760212199E+00-0.759131806E+00-0.758067950E+00-0.757021867E+00-0.755993601E+00 --0.754983986E+00-0.753993314E+00-0.753021406E+00-0.752070089E+00-0.751141645E+00 --0.750236069E+00-0.749352898E+00-0.748492132E+00-0.747655432E+00-0.746844226E+00 --0.746058305E+00-0.745297182E+00-0.744561986E+00-0.743855463E+00-0.743177567E+00 --0.742528299E+00-0.741907657E+00-0.741315644E+00-0.740752257E+00-0.740219453E+00 --0.739719002E+00-0.739250836E+00-0.738814956E+00-0.738411361E+00-0.738040211E+00 --0.737701317E+00-0.737397326E+00-0.737128114E+00-0.736893647E+00-0.736694110E+00 --0.736529861E+00-0.736400888E+00-0.736308650E+00-0.736253483E+00-0.736235407E+00 --0.736255229E+00-0.736312204E+00-0.736406316E+00-0.736538788E+00-0.736709942E+00 --0.736919779E+00-0.737168500E+00-0.737456457E+00-0.737783424E+00-0.738150035E+00 --0.738556531E+00-0.739002913E+00-0.739489180E+00-0.740015906E+00-0.740582603E+00 --0.741188613E+00-0.741834658E+00-0.742520838E+00-0.743247481E+00-0.744014174E+00 --0.744820562E+00-0.745666472E+00-0.746551892E+00-0.747476823E+00-0.748442242E+00 --0.749444979E+00-0.750485299E+00-0.751563448E+00-0.752679428E+00-0.753833312E+00 --0.755024379E+00-0.756250309E+00-0.757511139E+00-0.758806816E+00-0.760137339E+00 --0.761502308E+00-0.762899062E+00-0.764327230E+00-0.765785454E+00-0.767273239E+00 --0.768790616E+00-0.770336355E+00-0.771907208E+00-0.773503149E+00-0.775124187E+00 --0.776770851E+00-0.778437003E+00-0.780121237E+00-0.781823552E+00-0.783543947E+00 --0.785282424E+00-0.787036005E+00-0.788802897E+00-0.790579635E+00-0.792366172E+00 --0.794162507E+00-0.795968551E+00-0.797781784E+00-0.799600513E+00-0.801426151E+00 --0.803259319E+00-0.805099929E+00-0.806947443E+00-0.808802417E+00-0.810664785E+00 --0.812534247E+00-0.814412021E+00-0.816297003E+00-0.818190095E+00-0.820091318E+00 --0.822000703E+00-0.823918204E+00-0.825843424E+00-0.827776393E+00-0.829717919E+00 --0.831668332E+00-0.833627700E+00-0.835595746E+00-0.837572118E+00-0.839556860E+00 --0.841550651E+00-0.843553721E+00-0.845565940E+00-0.847587433E+00-0.849618639E+00 --0.851659138E+00-0.853708564E+00-0.855767817E+00-0.857837246E+00-0.859916865E+00 --0.862006175E+00-0.864105042E+00-0.866214299E+00-0.868334073E+00-0.870464365E+00 --0.872605189E+00-0.874756540E+00-0.876918545E+00-0.879091234E+00-0.881274674E+00 --0.883470041E+00-0.885676040E+00-0.887893571E+00-0.890122334E+00-0.892362331E+00 --0.894613667E+00-0.896877094E+00-0.899152749E+00-0.901440096E+00-0.903739732E+00 --0.906051309E+00-0.908375270E+00-0.910711971E+00-0.913060396E+00-0.915421750E+00 --0.917796281E+00-0.920183990E+00-0.922584875E+00-0.924998606E+00-0.927425188E+00 --0.929865583E+00-0.932319354E+00-0.934786725E+00-0.937267759E+00-0.939762923E+00 --0.942272218E+00-0.944795438E+00-0.947332567E+00-0.949883624E+00-0.952449675E+00 --0.955030817E+00-0.957627049E+00-0.960238005E+00-0.962863571E+00-0.965504756E+00 --0.968161090E+00-0.970832531E+00-0.973519027E+00-0.976220447E+00-0.978938484E+00 --0.981673138E+00-0.984424409E+00-0.987191464E+00-0.989973992E+00-0.992773199E+00 --0.995588469E+00-0.998420884E+00-0.100127061E+01-0.100413764E+01-0.100702116E+01 --0.100992300E+01-0.101284185E+01-0.101577824E+01-0.101873218E+01-0.102170369E+01 --0.102469471E+01-0.102770336E+01-0.103072911E+01-0.103376920E+01-0.103682924E+01 --0.851085585E+00-0.850865146E+00-0.850626999E+00-0.850371146E+00-0.850097585E+00 --0.849806316E+00-0.849497617E+00-0.849172659E+00-0.848831083E+00-0.848472890E+00 --0.848098079E+00-0.847704548E+00-0.847293395E+00-0.846865357E+00-0.846420431E+00 --0.845958151E+00-0.845479377E+00-0.844983805E+00-0.844471298E+00-0.843941999E+00 --0.843396947E+00-0.842834723E+00-0.842256279E+00-0.841662028E+00-0.841051697E+00 --0.840425096E+00-0.839782482E+00-0.839124782E+00-0.838451603E+00-0.837762840E+00 --0.837058481E+00-0.836338490E+00-0.835603765E+00-0.834854389E+00-0.834090361E+00 --0.833311378E+00-0.832518136E+00-0.831710674E+00-0.830888968E+00-0.830053019E+00 --0.829203341E+00-0.828340414E+00-0.827463653E+00-0.826573455E+00-0.825669820E+00 --0.824753582E+00-0.823825004E+00-0.822883452E+00-0.821929221E+00-0.820962311E+00 --0.819983360E+00-0.818993620E+00-0.817990898E+00-0.816977205E+00-0.815952760E+00 --0.814917158E+00-0.813869902E+00-0.812812448E+00-0.811744458E+00-0.810666559E+00 --0.809578805E+00-0.808481029E+00-0.807373327E+00-0.806256928E+00-0.805132368E+00 --0.803998561E+00-0.802855479E+00-0.801703441E+00-0.800543675E+00-0.799376295E+00 --0.798201391E+00-0.797019852E+00-0.795830939E+00-0.794636433E+00-0.793436569E+00 --0.792230697E+00-0.791019023E+00-0.789803544E+00-0.788585528E+00-0.787364976E+00 --0.786141889E+00-0.784915500E+00-0.783689906E+00-0.782465836E+00-0.781243289E+00 --0.780021800E+00-0.778801124E+00-0.777585271E+00-0.776375144E+00-0.775170872E+00 --0.773972494E+00-0.772780009E+00-0.771593747E+00-0.770417834E+00-0.769251680E+00 --0.768095739E+00-0.766950539E+00-0.765816383E+00-0.764695264E+00-0.763587840E+00 --0.762495184E+00-0.761417349E+00-0.760354332E+00-0.759307430E+00-0.758279016E+00 --0.757269546E+00-0.756278967E+00-0.755307056E+00-0.754354377E+00-0.753422603E+00 --0.752512972E+00-0.751625746E+00-0.750760926E+00-0.749921408E+00-0.749107236E+00 --0.748317773E+00-0.747553024E+00-0.746812809E+00-0.746100281E+00-0.745416288E+00 --0.744760831E+00-0.744133908E+00-0.743535521E+00-0.742965681E+00-0.742425198E+00 --0.741916914E+00-0.741440795E+00-0.740996900E+00-0.740585230E+00-0.740205786E+00 --0.739858566E+00-0.739544301E+00-0.739265143E+00-0.739020853E+00-0.738811746E+00 --0.738637794E+00-0.738498999E+00-0.738396004E+00-0.738330030E+00-0.738301018E+00 --0.738309159E+00-0.738354453E+00-0.738436899E+00-0.738556870E+00-0.738715681E+00 --0.738913174E+00-0.739149182E+00-0.739424170E+00-0.739738205E+00-0.740091286E+00 --0.740483767E+00-0.740916501E+00-0.741389265E+00-0.741901138E+00-0.742452123E+00 --0.743042315E+00-0.743672512E+00-0.744342744E+00-0.745052983E+00-0.745802232E+00 --0.746590946E+00-0.747419171E+00-0.748286907E+00-0.749194496E+00-0.750139783E+00 --0.751122613E+00-0.752142625E+00-0.753200055E+00-0.754295369E+00-0.755428469E+00 --0.756597395E+00-0.757801159E+00-0.759039761E+00-0.760313200E+00-0.761620920E+00 --0.762960409E+00-0.764331361E+00-0.765733776E+00-0.767167141E+00-0.768629857E+00 --0.770120515E+00-0.771638224E+00-0.773181093E+00-0.774749051E+00-0.776341250E+00 --0.777955701E+00-0.779592369E+00-0.781247044E+00-0.782919531E+00-0.784609832E+00 --0.786316335E+00-0.788037933E+00-0.789772090E+00-0.791515987E+00-0.793269624E+00 --0.795032999E+00-0.796806113E+00-0.798585340E+00-0.800371938E+00-0.802166198E+00 --0.803967986E+00-0.805777304E+00-0.807595061E+00-0.809420450E+00-0.811253450E+00 --0.813094776E+00-0.814943526E+00-0.816800827E+00-0.818666410E+00-0.820540277E+00 --0.822422403E+00-0.824312663E+00-0.826211684E+00-0.828119199E+00-0.830035601E+00 --0.831960891E+00-0.833895063E+00-0.835838087E+00-0.837790085E+00-0.839751287E+00 --0.841721692E+00-0.843701563E+00-0.845691342E+00-0.847690074E+00-0.849698622E+00 --0.851716947E+00-0.853744917E+00-0.855783002E+00-0.857831263E+00-0.859889694E+00 --0.861958001E+00-0.864036979E+00-0.866126494E+00-0.868226524E+00-0.870337070E+00 --0.872458131E+00-0.874590292E+00-0.876733469E+00-0.878887522E+00-0.881052871E+00 --0.883229383E+00-0.885417209E+00-0.887617057E+00-0.889828509E+00-0.892051193E+00 --0.894285648E+00-0.896532393E+00-0.898791370E+00-0.901062756E+00-0.903346196E+00 --0.905642049E+00-0.907950345E+00-0.910270768E+00-0.912604130E+00-0.914950796E+00 --0.917310640E+00-0.919683660E+00-0.922069858E+00-0.924469232E+00-0.926881803E+00 --0.929308538E+00-0.931749117E+00-0.934202882E+00-0.936670776E+00-0.939152802E+00 --0.941648957E+00-0.944159632E+00-0.946684669E+00-0.949223846E+00-0.951778113E+00 --0.954347471E+00-0.956931919E+00-0.959531468E+00-0.962146487E+00-0.964777092E+00 --0.967422906E+00-0.970083825E+00-0.972759668E+00-0.975451409E+00-0.978159767E+00 --0.980884742E+00-0.983626335E+00-0.986384545E+00-0.989159372E+00-0.991949594E+00 --0.994756834E+00-0.997581226E+00-0.100042290E+01-0.100328165E+01-0.100615826E+01 --0.100905273E+01-0.101196506E+01-0.101489520E+01-0.101784292E+01-0.102080821E+01 --0.102379477E+01-0.102679370E+01-0.102981169E+01-0.103284963E+01-0.103590754E+01 --0.852820218E+00-0.852605345E+00-0.852372764E+00-0.852122476E+00-0.851854481E+00 --0.851568779E+00-0.851265370E+00-0.850944253E+00-0.850605429E+00-0.850249888E+00 --0.849879858E+00-0.849489670E+00-0.849081400E+00-0.848655809E+00-0.848213268E+00 --0.847753873E+00-0.847277379E+00-0.846783950E+00-0.846273587E+00-0.845746559E+00 --0.845202910E+00-0.844642599E+00-0.844065629E+00-0.843472835E+00-0.842864233E+00 --0.842239823E+00-0.841599604E+00-0.840943639E+00-0.840272013E+00-0.839584792E+00 --0.838881975E+00-0.838163839E+00-0.837431134E+00-0.836683777E+00-0.835921808E+00 --0.835145445E+00-0.834354632E+00-0.833549459E+00-0.832730043E+00-0.831896384E+00 --0.831049143E+00-0.830188981E+00-0.829315832E+00-0.828429292E+00-0.827529332E+00 --0.826616673E+00-0.825691543E+00-0.824754271E+00-0.823804753E+00-0.822842538E+00 --0.821868329E+00-0.820882988E+00-0.819886438E+00-0.818878486E+00-0.817859782E+00 --0.816830325E+00-0.815790116E+00-0.814739715E+00-0.813679043E+00-0.812608916E+00 --0.811528781E+00-0.810438636E+00-0.809339070E+00-0.808231185E+00-0.807115008E+00 --0.805991483E+00-0.804858238E+00-0.803717084E+00-0.802568316E+00-0.801411933E+00 --0.800248786E+00-0.799078915E+00-0.797902562E+00-0.796720089E+00-0.795531791E+00 --0.794337668E+00-0.793137764E+00-0.791934827E+00-0.790729216E+00-0.789520457E+00 --0.788308736E+00-0.787094053E+00-0.785878009E+00-0.784663513E+00-0.783450455E+00 --0.782238591E+00-0.781027636E+00-0.779819686E+00-0.778617454E+00-0.777420940E+00 --0.776230144E+00-0.775045066E+00-0.773865706E+00-0.772693132E+00-0.771531479E+00 --0.770380567E+00-0.769240378E+00-0.768110805E+00-0.766991990E+00-0.765886888E+00 --0.764796602E+00-0.763721129E+00-0.762660453E+00-0.761614891E+00-0.760585635E+00 --0.759575013E+00-0.758583060E+00-0.757609825E+00-0.756656829E+00-0.755724791E+00 --0.754813713E+00-0.753923594E+00-0.753054800E+00-0.752211306E+00-0.751392775E+00 --0.750598957E+00-0.749829851E+00-0.749085459E+00-0.748367190E+00-0.747677434E+00 --0.747016214E+00-0.746383594E+00-0.745779395E+00-0.745203458E+00-0.744656861E+00 --0.744140707E+00-0.743655608E+00-0.743202943E+00-0.742782714E+00-0.742394919E+00 --0.742039551E+00-0.741716231E+00-0.741426980E+00-0.741173008E+00-0.740954102E+00 --0.740770232E+00-0.740621398E+00-0.740508423E+00-0.740430383E+00-0.740389188E+00 --0.740385403E+00-0.740418991E+00-0.740489757E+00-0.740597675E+00-0.740743035E+00 --0.740927914E+00-0.741150887E+00-0.741412906E+00-0.741713795E+00-0.742053278E+00 --0.742431389E+00-0.742848984E+00-0.743305451E+00-0.743801096E+00-0.744335853E+00 --0.744909962E+00-0.745524311E+00-0.746178458E+00-0.746871440E+00-0.747603269E+00 --0.748374092E+00-0.749184633E+00-0.750034199E+00-0.750921360E+00-0.751846105E+00 --0.752808760E+00-0.753808807E+00-0.754846028E+00-0.755920423E+00-0.757032344E+00 --0.758179167E+00-0.759360376E+00-0.760575607E+00-0.761824858E+00-0.763107774E+00 --0.764422258E+00-0.765767971E+00-0.767144914E+00-0.768551469E+00-0.769986055E+00 --0.771448490E+00-0.772938182E+00-0.774453068E+00-0.775992348E+00-0.777553871E+00 --0.779137564E+00-0.780743407E+00-0.782369697E+00-0.784011989E+00-0.785669387E+00 --0.787341892E+00-0.789029503E+00-0.790730995E+00-0.792442291E+00-0.794163325E+00 --0.795894099E+00-0.797632895E+00-0.799379900E+00-0.801134238E+00-0.802896921E+00 --0.804667951E+00-0.806445990E+00-0.808233063E+00-0.810028608E+00-0.811832278E+00 --0.813643675E+00-0.815463610E+00-0.817292905E+00-0.819130892E+00-0.820977162E+00 --0.822831716E+00-0.824694628E+00-0.826567029E+00-0.828449001E+00-0.830340015E+00 --0.832239895E+00-0.834148642E+00-0.836066977E+00-0.837994546E+00-0.839931806E+00 --0.841878642E+00-0.843835069E+00-0.845801742E+00-0.847777531E+00-0.849763367E+00 --0.851759250E+00-0.853765545E+00-0.855781942E+00-0.857808446E+00-0.859845149E+00 --0.861892802E+00-0.863950989E+00-0.866019863E+00-0.868099640E+00-0.870190321E+00 --0.872291621E+00-0.874404533E+00-0.876528432E+00-0.878663624E+00-0.880810111E+00 --0.882967923E+00-0.885137580E+00-0.887319257E+00-0.889512956E+00-0.891718328E+00 --0.893936150E+00-0.896166004E+00-0.898408067E+00-0.900662453E+00-0.902929152E+00 --0.905208824E+00-0.907501138E+00-0.909805894E+00-0.912123814E+00-0.914455092E+00 --0.916799728E+00-0.919157723E+00-0.921529076E+00-0.923913788E+00-0.926312056E+00 --0.928724553E+00-0.931150475E+00-0.933591093E+00-0.936045848E+00-0.938514735E+00 --0.940997751E+00-0.943495144E+00-0.946008007E+00-0.948535400E+00-0.951077646E+00 --0.953634403E+00-0.956206754E+00-0.958794702E+00-0.961398244E+00-0.964017382E+00 --0.966652116E+00-0.969302495E+00-0.971968091E+00-0.974650154E+00-0.977348833E+00 --0.980064130E+00-0.982796044E+00-0.985544416E+00-0.988309214E+00-0.991091364E+00 --0.993890311E+00-0.996705645E+00-0.999538835E+00-0.100238988E+01-0.100525878E+01 --0.100814554E+01-0.101105016E+01-0.101397263E+01-0.101691295E+01-0.101987611E+01 --0.102285021E+01-0.102584674E+01-0.102886305E+01-0.103189913E+01-0.103495500E+01 --0.854609127E+00-0.854399819E+00-0.854172805E+00-0.853928083E+00-0.853665654E+00 --0.853385517E+00-0.853087674E+00-0.852772123E+00-0.852438554E+00-0.852084598E+00 --0.851711780E+00-0.851323585E+00-0.850917503E+00-0.850494147E+00-0.850053510E+00 --0.849595839E+00-0.849121245E+00-0.848629894E+00-0.848121366E+00-0.847595780E+00 --0.847053532E+00-0.846494624E+00-0.845919149E+00-0.845327813E+00-0.844720659E+00 --0.844097348E+00-0.843457765E+00-0.842802007E+00-0.842131042E+00-0.841445113E+00 --0.840744011E+00-0.840027208E+00-0.839296261E+00-0.838549903E+00-0.837789168E+00 --0.837014057E+00-0.836224570E+00-0.835421071E+00-0.834603945E+00-0.833772467E+00 --0.832927445E+00-0.832069496E+00-0.831198619E+00-0.830314669E+00-0.829417541E+00 --0.828508161E+00-0.827586309E+00-0.826651985E+00-0.825706395E+00-0.824748189E+00 --0.823778378E+00-0.822797434E+00-0.821805359E+00-0.820802560E+00-0.819789596E+00 --0.818765683E+00-0.817731291E+00-0.816686500E+00-0.815631622E+00-0.814567672E+00 --0.813494722E+00-0.812412317E+00-0.811321165E+00-0.810221539E+00-0.809113558E+00 --0.807997221E+00-0.806873084E+00-0.805741674E+00-0.804602988E+00-0.803457026E+00 --0.802304562E+00-0.801145087E+00-0.799980193E+00-0.798809469E+00-0.797632920E+00 --0.796450069E+00-0.795262093E+00-0.794071165E+00-0.792877275E+00-0.791680422E+00 --0.790480609E+00-0.789277833E+00-0.788072406E+00-0.786868105E+00-0.785664983E+00 --0.784463039E+00-0.783262276E+00-0.782063156E+00-0.780868437E+00-0.779679127E+00 --0.778495225E+00-0.777316731E+00-0.776144305E+00-0.774980306E+00-0.773824834E+00 --0.772677983E+00-0.771541493E+00-0.770415605E+00-0.769300319E+00-0.768197334E+00 --0.767109153E+00-0.766035672E+00-0.764977440E+00-0.763934816E+00-0.762907802E+00 --0.761896397E+00-0.760902527E+00-0.759928443E+00-0.758975332E+00-0.758043464E+00 --0.757132184E+00-0.756241492E+00-0.755371503E+00-0.754522950E+00-0.753699478E+00 --0.752900961E+00-0.752127350E+00-0.751378646E+00-0.750655452E+00-0.749959441E+00 --0.749291665E+00-0.748652150E+00-0.748040898E+00-0.747457964E+00-0.746904983E+00 --0.746382315E+00-0.745889960E+00-0.745428580E+00-0.744999602E+00-0.744603058E+00 --0.744238949E+00-0.743907847E+00-0.743609872E+00-0.743345361E+00-0.743115731E+00 --0.742921136E+00-0.742761872E+00-0.742638122E+00-0.742549683E+00-0.742496574E+00 --0.742480589E+00-0.742502015E+00-0.742560851E+00-0.742657098E+00-0.742790852E+00 --0.742962300E+00-0.743171282E+00-0.743418646E+00-0.743704603E+00-0.744029155E+00 --0.744392442E+00-0.744794709E+00-0.745235775E+00-0.745715642E+00-0.746234308E+00 --0.746791947E+00-0.747390055E+00-0.748027058E+00-0.748702737E+00-0.749417318E+00 --0.750170689E+00-0.750961790E+00-0.751790468E+00-0.752657087E+00-0.753561292E+00 --0.754503484E+00-0.755483566E+00-0.756500823E+00-0.757553911E+00-0.758642287E+00 --0.759765632E+00-0.760922531E+00-0.762113085E+00-0.763337665E+00-0.764595818E+00 --0.765885535E+00-0.767205807E+00-0.768555006E+00-0.769933131E+00-0.771340184E+00 --0.772774541E+00-0.774236234E+00-0.775722660E+00-0.777231259E+00-0.778762248E+00 --0.780315734E+00-0.781892129E+00-0.783486212E+00-0.785095222E+00-0.786718905E+00 --0.788357424E+00-0.790011049E+00-0.791679781E+00-0.793358547E+00-0.795046980E+00 --0.796743462E+00-0.798448606E+00-0.800162726E+00-0.801885037E+00-0.803615725E+00 --0.805354964E+00-0.807102607E+00-0.808858692E+00-0.810623655E+00-0.812397062E+00 --0.814178977E+00-0.815970143E+00-0.817770678E+00-0.819580582E+00-0.821399298E+00 --0.823226255E+00-0.825062393E+00-0.826908190E+00-0.828763591E+00-0.830628594E+00 --0.832503079E+00-0.834387303E+00-0.836280933E+00-0.838184030E+00-0.840096595E+00 --0.842018650E+00-0.843951022E+00-0.845894050E+00-0.847847044E+00-0.849810027E+00 --0.851783180E+00-0.853767167E+00-0.855761796E+00-0.857766499E+00-0.859781733E+00 --0.861808082E+00-0.863845543E+00-0.865893939E+00-0.867953238E+00-0.870023440E+00 --0.872105398E+00-0.874198260E+00-0.876302614E+00-0.878418743E+00-0.880546393E+00 --0.882685663E+00-0.884837149E+00-0.887000583E+00-0.889175928E+00-0.891363235E+00 --0.893563192E+00-0.895775697E+00-0.898000524E+00-0.900237672E+00-0.902487607E+00 --0.904750621E+00-0.907026679E+00-0.909315789E+00-0.911618345E+00-0.913934248E+00 --0.916263456E+00-0.918605971E+00-0.920961791E+00-0.923331036E+00-0.925715506E+00 --0.928113447E+00-0.930524996E+00-0.932951168E+00-0.935391964E+00-0.937847382E+00 --0.940317424E+00-0.942802089E+00-0.945301283E+00-0.947815453E+00-0.950345131E+00 --0.952890315E+00-0.955451007E+00-0.958027206E+00-0.960618912E+00-0.963226125E+00 --0.965848845E+00-0.968488408E+00-0.971144351E+00-0.973816252E+00-0.976504591E+00 --0.979209366E+00-0.981930578E+00-0.984668227E+00-0.987423293E+00-0.990198442E+00 --0.992988030E+00-0.995794552E+00-0.998618930E+00-0.100146116E+01-0.100432125E+01 --0.100719920E+01-0.101009500E+01-0.101300866E+01-0.101594799E+01-0.101890472E+01 --0.102187005E+01-0.102485759E+01-0.102786785E+01-0.103090019E+01-0.103395231E+01 --0.856452311E+00-0.856248570E+00-0.856027121E+00-0.855787965E+00-0.855530855E+00 --0.855254884E+00-0.854960050E+00-0.854646353E+00-0.854313793E+00-0.853962371E+00 --0.853592086E+00-0.853205760E+00-0.852802452E+00-0.852381397E+00-0.851942664E+00 --0.851486337E+00-0.851013088E+00-0.850522992E+00-0.850015170E+00-0.849490287E+00 --0.848948742E+00-0.848390536E+00-0.847816054E+00-0.847226059E+00-0.846619185E+00 --0.845996039E+00-0.845356621E+00-0.844701042E+00-0.844030276E+00-0.843344546E+00 --0.842643852E+00-0.841928561E+00-0.841197430E+00-0.840451618E+00-0.839691753E+00 --0.838917835E+00-0.838129752E+00-0.837327140E+00-0.836510673E+00-0.835681055E+00 --0.834838127E+00-0.833981992E+00-0.833112652E+00-0.832230105E+00-0.831334794E+00 --0.830427412E+00-0.829507967E+00-0.828576460E+00-0.827633807E+00-0.826678881E+00 --0.825712766E+00-0.824735463E+00-0.823746972E+00-0.822748508E+00-0.821739192E+00 --0.820720286E+00-0.819691025E+00-0.818651366E+00-0.817602193E+00-0.816544277E+00 --0.815477294E+00-0.814401625E+00-0.813316696E+00-0.812224097E+00-0.811123841E+00 --0.810015321E+00-0.808899148E+00-0.807776381E+00-0.806646451E+00-0.805509812E+00 --0.804366414E+00-0.803216840E+00-0.802061934E+00-0.800901696E+00-0.799736891E+00 --0.798566373E+00-0.797390739E+00-0.796211119E+00-0.795028479E+00-0.793842818E+00 --0.792654136E+00-0.791462432E+00-0.790269725E+00-0.789075922E+00-0.787882418E+00 --0.786690094E+00-0.785498847E+00-0.784310380E+00-0.783125367E+00-0.781943807E+00 --0.780766196E+00-0.779592513E+00-0.778427350E+00-0.777270716E+00-0.776122609E+00 --0.774983031E+00-0.773851980E+00-0.772729457E+00-0.771617285E+00-0.770516850E+00 --0.769430497E+00-0.768359594E+00-0.767304300E+00-0.766264495E+00-0.765239807E+00 --0.764230225E+00-0.763236983E+00-0.762261726E+00-0.761307123E+00-0.760373108E+00 --0.759459681E+00-0.758567174E+00-0.757695345E+00-0.756845015E+00-0.756017992E+00 --0.755215206E+00-0.754437368E+00-0.753684437E+00-0.752957257E+00-0.752256779E+00 --0.751582998E+00-0.750936450E+00-0.750318144E+00-0.749728437E+00-0.749168861E+00 --0.748639597E+00-0.748140647E+00-0.747672010E+00-0.747234039E+00-0.746828245E+00 --0.746454997E+00-0.746114876E+00-0.745807881E+00-0.745534012E+00-0.745293528E+00 --0.745088115E+00-0.744917815E+00-0.744782826E+00-0.744683149E+00-0.744618783E+00 --0.744590559E+00-0.744599785E+00-0.744646422E+00-0.744729708E+00-0.744850443E+00 --0.745008627E+00-0.745204259E+00-0.745437339E+00-0.745707946E+00-0.746017567E+00 --0.746365752E+00-0.746752690E+00-0.747178429E+00-0.747642967E+00-0.748146305E+00 --0.748688089E+00-0.749268445E+00-0.749887031E+00-0.750544066E+00-0.751239548E+00 --0.751973416E+00-0.752744837E+00-0.753553883E+00-0.754400552E+00-0.755284846E+00 --0.756206771E+00-0.757165063E+00-0.758158754E+00-0.759187846E+00-0.760252338E+00 --0.761351929E+00-0.762485212E+00-0.763652008E+00-0.764852105E+00-0.766084533E+00 --0.767348148E+00-0.768640599E+00-0.769961887E+00-0.771312013E+00-0.772690975E+00 --0.774098257E+00-0.775530469E+00-0.776985480E+00-0.778463000E+00-0.779963017E+00 --0.781485530E+00-0.783030670E+00-0.784591167E+00-0.786166591E+00-0.787756942E+00 --0.789362220E+00-0.790982425E+00-0.792617317E+00-0.794264757E+00-0.795918949E+00 --0.797581309E+00-0.799252428E+00-0.800932988E+00-0.802622967E+00-0.804321528E+00 --0.806028493E+00-0.807744172E+00-0.809469495E+00-0.811204502E+00-0.812947804E+00 --0.814700682E+00-0.816463079E+00-0.818234845E+00-0.820015981E+00-0.821806500E+00 --0.823606394E+00-0.825415939E+00-0.827235165E+00-0.829064072E+00-0.830902661E+00 --0.832750892E+00-0.834608446E+00-0.836477128E+00-0.838355421E+00-0.840243181E+00 --0.842140991E+00-0.844049480E+00-0.845968626E+00-0.847898522E+00-0.849838551E+00 --0.851788968E+00-0.853750317E+00-0.855722618E+00-0.857705438E+00-0.859699368E+00 --0.861704412E+00-0.863720569E+00-0.865748030E+00-0.867786652E+00-0.869836589E+00 --0.871897929E+00-0.873970780E+00-0.876055395E+00-0.878151786E+00-0.880260125E+00 --0.882380845E+00-0.884513653E+00-0.886658376E+00-0.888815028E+00-0.890984059E+00 --0.893165985E+00-0.895360806E+00-0.897568503E+00-0.899788413E+00-0.902021585E+00 --0.904267789E+00-0.906527330E+00-0.908799938E+00-0.911086320E+00-0.913386349E+00 --0.915699683E+00-0.918026324E+00-0.920366631E+00-0.922721345E+00-0.925090245E+00 --0.927473118E+00-0.929870294E+00-0.932282093E+00-0.934708516E+00-0.937149562E+00 --0.939605699E+00-0.942077379E+00-0.944564551E+00-0.947066230E+00-0.949583123E+00 --0.952115522E+00-0.954663429E+00-0.957226843E+00-0.959805764E+00-0.962400193E+00 --0.965011087E+00-0.967639824E+00-0.970285071E+00-0.972946261E+00-0.975623887E+00 --0.978317951E+00-0.981028451E+00-0.983756140E+00-0.986502527E+00-0.989266558E+00 --0.992046816E+00-0.994844526E+00-0.997660092E+00-0.100049351E+01-0.100334479E+01 --0.100621393E+01-0.100910297E+01-0.101201377E+01-0.101494335E+01-0.101788911E+01 --0.102084634E+01-0.102382578E+01-0.102682742E+01-0.102985128E+01-0.103289771E+01 --0.858353180E+00-0.858155193E+00-0.857938344E+00-0.857702631E+00-0.857448056E+00 --0.857174618E+00-0.856882317E+00-0.856571154E+00-0.856241127E+00-0.855892238E+00 --0.855524486E+00-0.855139730E+00-0.854737682E+00-0.854317881E+00-0.853880729E+00 --0.853425986E+00-0.852953639E+00-0.852463578E+00-0.851955805E+00-0.851430942E+00 --0.850889496E+00-0.850331389E+00-0.849756646E+00-0.849165686E+00-0.848558520E+00 --0.847935377E+00-0.847296124E+00-0.846640724E+00-0.845970157E+00-0.845284540E+00 --0.844583528E+00-0.843867384E+00-0.843136024E+00-0.842390019E+00-0.841629961E+00 --0.840855850E+00-0.840067686E+00-0.839265973E+00-0.838450441E+00-0.837620645E+00 --0.836778256E+00-0.835923210E+00-0.835054974E+00-0.834173532E+00-0.833279629E+00 --0.832374116E+00-0.831456498E+00-0.830526990E+00-0.829586140E+00-0.828634018E+00 --0.827670717E+00-0.826696517E+00-0.825711174E+00-0.824714720E+00-0.823708562E+00 --0.822692995E+00-0.821668019E+00-0.820633632E+00-0.819589649E+00-0.818536573E+00 --0.817474856E+00-0.816404497E+00-0.815325620E+00-0.814239145E+00-0.813145126E+00 --0.812043562E+00-0.810935171E+00-0.809819260E+00-0.808697420E+00-0.807569072E+00 --0.806434200E+00-0.805294527E+00-0.804148926E+00-0.802998287E+00-0.801842647E+00 --0.800681881E+00-0.799516588E+00-0.798348478E+00-0.797177549E+00-0.796003056E+00 --0.794825357E+00-0.793645248E+00-0.792464047E+00-0.791281790E+00-0.790098542E+00 --0.788915821E+00-0.787734195E+00-0.786556021E+00-0.785380869E+00-0.784208696E+00 --0.783039581E+00-0.781873049E+00-0.780714288E+00-0.779564129E+00-0.778422573E+00 --0.777289621E+00-0.776165272E+00-0.775049463E+00-0.773941107E+00-0.772845610E+00 --0.771762271E+00-0.770692954E+00-0.769638743E+00-0.768599637E+00-0.767575665E+00 --0.766568059E+00-0.765576918E+00-0.764602242E+00-0.763645536E+00-0.762709375E+00 --0.761794167E+00-0.760899982E+00-0.760026299E+00-0.759174132E+00-0.758345300E+00 --0.757539812E+00-0.756757877E+00-0.756000675E+00-0.755269390E+00-0.754564803E+00 --0.753886912E+00-0.753235719E+00-0.752611166E+00-0.752014564E+00-0.751447955E+00 --0.750911414E+00-0.750404940E+00-0.749928534E+00-0.749482377E+00-0.749068032E+00 --0.748685373E+00-0.748335644E+00-0.748019074E+00-0.747735661E+00-0.747486055E+00 --0.747269926E+00-0.747088243E+00-0.746941968E+00-0.746831099E+00-0.746755637E+00 --0.746715582E+00-0.746711235E+00-0.746743940E+00-0.746813952E+00-0.746921271E+00 --0.747065898E+00-0.747247833E+00-0.747467075E+00-0.747723624E+00-0.748017776E+00 --0.748350641E+00-0.748721204E+00-0.749130275E+00-0.749577854E+00-0.750063940E+00 --0.750588540E+00-0.751150885E+00-0.751750604E+00-0.752388197E+00-0.753064238E+00 --0.753778509E+00-0.754530398E+00-0.755319911E+00-0.756146939E+00-0.757010272E+00 --0.757909775E+00-0.758845338E+00-0.759815994E+00-0.760821654E+00-0.761862317E+00 --0.762938186E+00-0.764047683E+00-0.765189074E+00-0.766362188E+00-0.767567023E+00 --0.768803410E+00-0.770069026E+00-0.771363479E+00-0.772686536E+00-0.774036337E+00 --0.775412565E+00-0.776814280E+00-0.778238551E+00-0.779685170E+00-0.781154137E+00 --0.782645448E+00-0.784157522E+00-0.785684612E+00-0.787226719E+00-0.788783843E+00 --0.790355982E+00-0.791943139E+00-0.793544579E+00-0.795156230E+00-0.796774666E+00 --0.798402890E+00-0.800040682E+00-0.801687915E+00-0.803344691E+00-0.805010978E+00 --0.806686236E+00-0.808371182E+00-0.810065811E+00-0.811770123E+00-0.813484201E+00 --0.815207521E+00-0.816940833E+00-0.818683709E+00-0.820436148E+00-0.822198151E+00 --0.823969607E+00-0.825751690E+00-0.827544303E+00-0.829346598E+00-0.831158574E+00 --0.832980273E+00-0.834812420E+00-0.836655255E+00-0.838508609E+00-0.840371887E+00 --0.842245837E+00-0.844130444E+00-0.846025708E+00-0.847931886E+00-0.849848678E+00 --0.851776427E+00-0.853715218E+00-0.855665050E+00-0.857625134E+00-0.859597291E+00 --0.861580739E+00-0.863575321E+00-0.865581021E+00-0.867598196E+00-0.869627417E+00 --0.871668111E+00-0.873720997E+00-0.875785830E+00-0.877862252E+00-0.879951057E+00 --0.882052245E+00-0.884165815E+00-0.886291800E+00-0.888429953E+00-0.890580969E+00 --0.892744879E+00-0.894921619E+00-0.897111282E+00-0.899313868E+00-0.901529706E+00 --0.903758702E+00-0.906001175E+00-0.908256768E+00-0.910526110E+00-0.912809889E+00 --0.915107349E+00-0.917418194E+00-0.919743152E+00-0.922082296E+00-0.924435625E+00 --0.926803566E+00-0.929186369E+00-0.931583795E+00-0.933995334E+00-0.936421800E+00 --0.938863759E+00-0.941321211E+00-0.943794156E+00-0.946282594E+00-0.948786665E+00 --0.951306280E+00-0.953841402E+00-0.956392032E+00-0.958958168E+00-0.961540326E+00 --0.964139657E+00-0.966755929E+00-0.969389144E+00-0.972039618E+00-0.974706533E+00 --0.977389884E+00-0.980089903E+00-0.982807529E+00-0.985542798E+00-0.988295711E+00 --0.991066670E+00-0.993855567E+00-0.996662321E+00-0.999486931E+00-0.100232940E+01 --0.100519208E+01-0.100807399E+01-0.101097468E+01-0.101389416E+01-0.101682929E+01 --0.101977842E+01-0.102274975E+01-0.102574330E+01-0.102875905E+01-0.103179701E+01 --0.860315346E+00-0.860119085E+00-0.859904088E+00-0.859670354E+00-0.859417883E+00 --0.859146675E+00-0.858856731E+00-0.858548049E+00-0.858220556E+00-0.857874200E+00 --0.857508982E+00-0.857125795E+00-0.856724892E+00-0.856305572E+00-0.855868046E+00 --0.855413141E+00-0.854940822E+00-0.854450731E+00-0.853942927E+00-0.853417491E+00 --0.852876144E+00-0.852317262E+00-0.851741449E+00-0.851149430E+00-0.850541207E+00 --0.849916779E+00-0.849276275E+00-0.848621054E+00-0.847949633E+00-0.847262708E+00 --0.846560652E+00-0.845843464E+00-0.845111144E+00-0.844364875E+00-0.843604561E+00 --0.842829922E+00-0.842041260E+00-0.841238575E+00-0.840421867E+00-0.839591416E+00 --0.838748440E+00-0.837893065E+00-0.837025292E+00-0.836145119E+00-0.835251987E+00 --0.834347326E+00-0.833430505E+00-0.832502343E+00-0.831562724E+00-0.830612528E+00 --0.829651248E+00-0.828678824E+00-0.827695271E+00-0.826701682E+00-0.825698684E+00 --0.824686220E+00-0.823664274E+00-0.822633180E+00-0.821592878E+00-0.820543493E+00 --0.819486097E+00-0.818420692E+00-0.817347276E+00-0.816266533E+00-0.815178436E+00 --0.814082871E+00-0.812979844E+00-0.811870318E+00-0.810754887E+00-0.809633553E+00 --0.808507447E+00-0.807374473E+00-0.806237319E+00-0.805095705E+00-0.803949091E+00 --0.802797475E+00-0.801642394E+00-0.800484540E+00-0.799323868E+00-0.798160584E+00 --0.796994151E+00-0.795825012E+00-0.794654951E+00-0.793483968E+00-0.792312064E+00 --0.791139569E+00-0.789967150E+00-0.788798083E+00-0.787632073E+00-0.786469120E+00 --0.785309225E+00-0.784152387E+00-0.782999826E+00-0.781855851E+00-0.780720560E+00 --0.779593642E+00-0.778474654E+00-0.777363596E+00-0.776262201E+00-0.775172789E+00 --0.774095369E+00-0.773029942E+00-0.771976729E+00-0.770938256E+00-0.769915824E+00 --0.768909856E+00-0.767920354E+00-0.766947317E+00-0.765990571E+00-0.765052480E+00 --0.764135941E+00-0.763239902E+00-0.762364365E+00-0.761510300E+00-0.760679661E+00 --0.759872365E+00-0.759088411E+00-0.758327107E+00-0.757591247E+00-0.756881772E+00 --0.756198683E+00-0.755541979E+00-0.754912422E+00-0.754309591E+00-0.753735754E+00 --0.753191343E+00-0.752676653E+00-0.752192036E+00-0.751737842E+00-0.751315237E+00 --0.750924286E+00-0.750565015E+00-0.750238633E+00-0.749945477E+00-0.749685521E+00 --0.749458735E+00-0.749265871E+00-0.749108414E+00-0.748986364E+00-0.748899572E+00 --0.748847439E+00-0.748830903E+00-0.748850796E+00-0.748907082E+00-0.748999777E+00 --0.749129603E+00-0.749296736E+00-0.749501177E+00-0.749742925E+00-0.750022318E+00 --0.750339141E+00-0.750693321E+00-0.751085219E+00-0.751515610E+00-0.751984462E+00 --0.752490976E+00-0.753034869E+00-0.753616139E+00-0.754234788E+00-0.754891388E+00 --0.755586115E+00-0.756318308E+00-0.757086856E+00-0.757891572E+00-0.758732456E+00 --0.759609510E+00-0.760522467E+00-0.761470441E+00-0.762453407E+00-0.763470330E+00 --0.764520625E+00-0.765604233E+00-0.766719288E+00-0.767865578E+00-0.769043101E+00 --0.770252155E+00-0.771491551E+00-0.772757616E+00-0.774050107E+00-0.775369025E+00 --0.776714369E+00-0.778085521E+00-0.779479434E+00-0.780895718E+00-0.782333415E+00 --0.783790615E+00-0.785267552E+00-0.786762152E+00-0.788271770E+00-0.789796403E+00 --0.791335620E+00-0.792887303E+00-0.794451574E+00-0.796028386E+00-0.797613124E+00 --0.799207651E+00-0.800811966E+00-0.802426068E+00-0.804050006E+00-0.805684151E+00 --0.807328278E+00-0.808982179E+00-0.810645853E+00-0.812319301E+00-0.814002398E+00 --0.815695687E+00-0.817399532E+00-0.819113720E+00-0.820837531E+00-0.822570932E+00 --0.824314699E+00-0.826069191E+00-0.827834408E+00-0.829610061E+00-0.831395425E+00 --0.833190950E+00-0.834997690E+00-0.836815119E+00-0.838643471E+00-0.840481987E+00 --0.842331712E+00-0.844192050E+00-0.846062999E+00-0.847944605E+00-0.849837835E+00 --0.851742581E+00-0.853658368E+00-0.855585197E+00-0.857522957E+00-0.859472525E+00 --0.861434148E+00-0.863407111E+00-0.865391209E+00-0.867387390E+00-0.869395645E+00 --0.871415944E+00-0.873448271E+00-0.875492790E+00-0.877549652E+00-0.879618820E+00 --0.881700294E+00-0.883794074E+00-0.885901094E+00-0.888020189E+00-0.890152456E+00 --0.892297897E+00-0.894456481E+00-0.896628013E+00-0.898812468E+00-0.901010712E+00 --0.903222183E+00-0.905447134E+00-0.907685714E+00-0.909938411E+00-0.912205310E+00 --0.914486027E+00-0.916780927E+00-0.919090315E+00-0.921413889E+00-0.923751648E+00 --0.926104791E+00-0.928472253E+00-0.930853507E+00-0.933250253E+00-0.935662492E+00 --0.938090224E+00-0.940533448E+00-0.942992165E+00-0.945466376E+00-0.947956078E+00 --0.950462589E+00-0.952984926E+00-0.955522771E+00-0.958076124E+00-0.960646049E+00 --0.963232916E+00-0.965836725E+00-0.968457476E+00-0.971096325E+00-0.973752527E+00 --0.976424584E+00-0.979113448E+00-0.981819955E+00-0.984544106E+00-0.987285901E+00 --0.990047590E+00-0.992827676E+00-0.995625617E+00-0.998441414E+00-0.100127564E+01 --0.100412866E+01-0.100700046E+01-0.100989105E+01-0.101280042E+01-0.101572526E+01 --0.101866628E+01-0.102162951E+01-0.102461495E+01-0.102762261E+01-0.103065247E+01 --0.862325780E+00-0.862137681E+00-0.861927647E+00-0.861695405E+00-0.861444426E+00 --0.861174710E+00-0.860886258E+00-0.860579069E+00-0.860253143E+00-0.859908480E+00 --0.859545081E+00-0.859164032E+00-0.858763418E+00-0.858344052E+00-0.857905986E+00 --0.857449825E+00-0.856976254E+00-0.856485274E+00-0.855976884E+00-0.855451084E+00 --0.854907998E+00-0.854347371E+00-0.853770619E+00-0.853177370E+00-0.852567624E+00 --0.851941382E+00-0.851298643E+00-0.850641657E+00-0.849968425E+00-0.849279609E+00 --0.848575743E+00-0.847856830E+00-0.847122867E+00-0.846375024E+00-0.845612108E+00 --0.844836292E+00-0.844046454E+00-0.843242593E+00-0.842424709E+00-0.841593409E+00 --0.840749846E+00-0.839893884E+00-0.839025502E+00-0.838144360E+00-0.837251735E+00 --0.836347155E+00-0.835430349E+00-0.834501860E+00-0.833561916E+00-0.832611768E+00 --0.831651593E+00-0.830680995E+00-0.829699826E+00-0.828708324E+00-0.827707182E+00 --0.826696893E+00-0.825677457E+00-0.824648874E+00-0.823611144E+00-0.822565251E+00 --0.821511422E+00-0.820449237E+00-0.819379916E+00-0.818303460E+00-0.817219869E+00 --0.816129487E+00-0.815031771E+00-0.813928629E+00-0.812819398E+00-0.811704388E+00 --0.810584074E+00-0.809458252E+00-0.808327965E+00-0.807193700E+00-0.806055456E+00 --0.804913235E+00-0.803767570E+00-0.802619076E+00-0.801467735E+00-0.800313546E+00 --0.799156509E+00-0.797997605E+00-0.796837778E+00-0.795677030E+00-0.794515487E+00 --0.793354542E+00-0.792194408E+00-0.791034142E+00-0.789876990E+00-0.788723097E+00 --0.787572462E+00-0.786425310E+00-0.785283047E+00-0.784145981E+00-0.783016753E+00 --0.781895362E+00-0.780781808E+00-0.779675736E+00-0.778580179E+00-0.777496245E+00 --0.776423936E+00-0.775363250E+00-0.774314346E+00-0.773278973E+00-0.772257901E+00 --0.771253372E+00-0.770265462E+00-0.769294170E+00-0.768339522E+00-0.767402338E+00 --0.766484594E+00-0.765586934E+00-0.764709543E+00-0.763853521E+00-0.763019768E+00 --0.762208868E+00-0.761421337E+00-0.760657174E+00-0.759916431E+00-0.759201202E+00 --0.758512360E+00-0.757850648E+00-0.757215366E+00-0.756606485E+00-0.756026351E+00 --0.755475644E+00-0.754954363E+00-0.754462502E+00-0.754000099E+00-0.753568899E+00 --0.753169264E+00-0.752801194E+00-0.752464969E+00-0.752161315E+00-0.751890412E+00 --0.751652669E+00-0.751448664E+00-0.751280013E+00-0.751146200E+00-0.751047048E+00 --0.750982556E+00-0.750952809E+00-0.750959454E+00-0.751002493E+00-0.751081926E+00 --0.751197752E+00-0.751349971E+00-0.751539245E+00-0.751765743E+00-0.752029059E+00 --0.752329731E+00-0.752667760E+00-0.753043146E+00-0.753456219E+00-0.753906903E+00 --0.754394965E+00-0.754920396E+00-0.755483122E+00-0.756083125E+00-0.756720360E+00 --0.757394175E+00-0.758104200E+00-0.758850406E+00-0.759632794E+00-0.760451362E+00 --0.761306111E+00-0.762196432E+00-0.763120851E+00-0.764078312E+00-0.765069146E+00 --0.766093353E+00-0.767150915E+00-0.768240392E+00-0.769361103E+00-0.770513551E+00 --0.771694149E+00-0.772902861E+00-0.774138911E+00-0.775401033E+00-0.776689207E+00 --0.778003667E+00-0.779344193E+00-0.780708028E+00-0.782092269E+00-0.783496015E+00 --0.784919264E+00-0.786362017E+00-0.787823751E+00-0.789301118E+00-0.790792142E+00 --0.792295755E+00-0.793811956E+00-0.795340745E+00-0.796882122E+00-0.798433352E+00 --0.799994182E+00-0.801564731E+00-0.803145849E+00-0.804737589E+00-0.806339150E+00 --0.807950923E+00-0.809573490E+00-0.811206225E+00-0.812848733E+00-0.814501762E+00 --0.816165421E+00-0.817839635E+00-0.819524405E+00-0.821219731E+00-0.822925272E+00 --0.824641453E+00-0.826368358E+00-0.828105988E+00-0.829854343E+00-0.831613212E+00 --0.833382924E+00-0.835163730E+00-0.836955202E+00-0.838757695E+00-0.840570990E+00 --0.842395629E+00-0.844231525E+00-0.846078072E+00-0.847935716E+00-0.849805136E+00 --0.851686331E+00-0.853579093E+00-0.855482918E+00-0.857397992E+00-0.859325202E+00 --0.861264514E+00-0.863215864E+00-0.865178343E+00-0.867153364E+00-0.869140654E+00 --0.871140228E+00-0.873151641E+00-0.875175515E+00-0.877212172E+00-0.879261273E+00 --0.881322736E+00-0.883397206E+00-0.885484575E+00-0.887584766E+00-0.889698071E+00 --0.891824549E+00-0.893964199E+00-0.896117023E+00-0.898283852E+00-0.900463899E+00 --0.902657778E+00-0.904865208E+00-0.907086776E+00-0.909322752E+00-0.911572631E+00 --0.913836724E+00-0.916115012E+00-0.918407884E+00-0.920715340E+00-0.923037415E+00 --0.925374056E+00-0.927724854E+00-0.930091366E+00-0.932473591E+00-0.934871588E+00 --0.937285092E+00-0.939714089E+00-0.942158579E+00-0.944618561E+00-0.947094037E+00 --0.949585005E+00-0.952094001E+00-0.954618482E+00-0.957159001E+00-0.959716463E+00 --0.962290866E+00-0.964882211E+00-0.967490498E+00-0.970116380E+00-0.972760181E+00 --0.975420283E+00-0.978098029E+00-0.980793419E+00-0.983506452E+00-0.986237128E+00 --0.988989578E+00-0.991760851E+00-0.994548315E+00-0.997353653E+00-0.100017778E+01 --0.100302069E+01-0.100588238E+01-0.100876286E+01-0.101166213E+01-0.101457701E+01 --0.101750993E+01-0.102046506E+01-0.102344240E+01-0.102644195E+01-0.102946371E+01 --0.864392761E+00-0.864207269E+00-0.864001133E+00-0.863774352E+00-0.863526926E+00 --0.863259023E+00-0.862972063E+00-0.862666366E+00-0.862341932E+00-0.861998761E+00 --0.861636854E+00-0.861254716E+00-0.860853480E+00-0.860433907E+00-0.859995300E+00 --0.859537883E+00-0.859063056E+00-0.858570779E+00-0.858060448E+00-0.857531862E+00 --0.856985794E+00-0.856423600E+00-0.855844534E+00-0.855248651E+00-0.854636272E+00 --0.854007395E+00-0.853362931E+00-0.852702296E+00-0.852025813E+00-0.851334584E+00 --0.850628205E+00-0.849906777E+00-0.849170300E+00-0.848419757E+00-0.847655210E+00 --0.846876139E+00-0.846083727E+00-0.845277972E+00-0.844458875E+00-0.843626575E+00 --0.842781842E+00-0.841924309E+00-0.841053975E+00-0.840171028E+00-0.839276971E+00 --0.838371320E+00-0.837453957E+00-0.836524912E+00-0.835584562E+00-0.834634151E+00 --0.833673712E+00-0.832703816E+00-0.831722838E+00-0.830732634E+00-0.829733151E+00 --0.828724580E+00-0.827706920E+00-0.826680171E+00-0.825644334E+00-0.824599635E+00 --0.823547715E+00-0.822488887E+00-0.821423151E+00-0.820350507E+00-0.819270955E+00 --0.818184495E+00-0.817090952E+00-0.815992238E+00-0.814888126E+00-0.813778711E+00 --0.812663991E+00-0.811544180E+00-0.810420840E+00-0.809293426E+00-0.808162043E+00 --0.807026789E+00-0.805887605E+00-0.804746567E+00-0.803603947E+00-0.802458724E+00 --0.801310653E+00-0.800161575E+00-0.799011983E+00-0.797860296E+00-0.796708834E+00 --0.795558183E+00-0.794408343E+00-0.793259313E+00-0.792111284E+00-0.790966034E+00 --0.789824395E+00-0.788687010E+00-0.787553877E+00-0.786425006E+00-0.785302450E+00 --0.784187732E+00-0.783080739E+00-0.781981878E+00-0.780891998E+00-0.779811947E+00 --0.778743519E+00-0.777686714E+00-0.776642193E+00-0.775611176E+00-0.774593649E+00 --0.773590540E+00-0.772603968E+00-0.771634008E+00-0.770681026E+00-0.769745268E+00 --0.768827198E+00-0.767929213E+00-0.767051649E+00-0.766194688E+00-0.765358616E+00 --0.764544144E+00-0.763753295E+00-0.762986068E+00-0.762242465E+00-0.761522287E+00 --0.760828421E+00-0.760161008E+00-0.759519997E+00-0.758905388E+00-0.758318579E+00 --0.757761097E+00-0.757232712E+00-0.756733494E+00-0.756263444E+00-0.755823051E+00 --0.755414130E+00-0.755036571E+00-0.754691312E+00-0.754378660E+00-0.754098614E+00 --0.753851106E+00-0.753635924E+00-0.753454931E+00-0.753308653E+00-0.753197041E+00 --0.753119997E+00-0.753077539E+00-0.753070185E+00-0.753099127E+00-0.753164443E+00 --0.753266133E+00-0.753404301E+00-0.753578613E+00-0.753788833E+00-0.754035464E+00 --0.754319420E+00-0.754640699E+00-0.754999569E+00-0.755395547E+00-0.755827573E+00 --0.756295996E+00-0.756801697E+00-0.757344676E+00-0.757924931E+00-0.758541737E+00 --0.759194311E+00-0.759882676E+00-0.760607032E+00-0.761367649E+00-0.762164099E+00 --0.762994971E+00-0.763860194E+00-0.764760020E+00-0.765692912E+00-0.766658557E+00 --0.767656953E+00-0.768688151E+00-0.769753595E+00-0.770847330E+00-0.771969156E+00 --0.773119073E+00-0.774297080E+00-0.775503179E+00-0.776735762E+00-0.777994412E+00 --0.779279135E+00-0.780588815E+00-0.781919905E+00-0.783270838E+00-0.784641369E+00 --0.786031499E+00-0.787441227E+00-0.788868303E+00-0.790310927E+00-0.791767419E+00 --0.793236370E+00-0.794717782E+00-0.796211653E+00-0.797717549E+00-0.799232882E+00 --0.800759639E+00-0.802297088E+00-0.803845159E+00-0.805403851E+00-0.806973302E+00 --0.808553577E+00-0.810144585E+00-0.811746326E+00-0.813358804E+00-0.814982178E+00 --0.816616188E+00-0.818260834E+00-0.819916115E+00-0.821582116E+00-0.823259676E+00 --0.824948292E+00-0.826647588E+00-0.828357644E+00-0.830078461E+00-0.831810153E+00 --0.833553397E+00-0.835308056E+00-0.837073646E+00-0.838850310E+00-0.840638546E+00 --0.842438126E+00-0.844249110E+00-0.846071478E+00-0.847905154E+00-0.849750787E+00 --0.851608195E+00-0.853477378E+00-0.855358213E+00-0.857250239E+00-0.859155092E+00 --0.861072045E+00-0.863001099E+00-0.864942253E+00-0.866895651E+00-0.868861382E+00 --0.870839443E+00-0.872829927E+00-0.874833112E+00-0.876849016E+00-0.878877634E+00 --0.880919382E+00-0.882974026E+00-0.885041567E+00-0.887122345E+00-0.889216686E+00 --0.891324201E+00-0.893444904E+00-0.895579329E+00-0.897727513E+00-0.899889430E+00 --0.902065320E+00-0.904255396E+00-0.906459571E+00-0.908677545E+00-0.910909928E+00 --0.913156765E+00-0.915418378E+00-0.917694739E+00-0.919985708E+00-0.922291619E+00 --0.924612320E+00-0.926948207E+00-0.929299284E+00-0.931666074E+00-0.934048578E+00 --0.936446796E+00-0.938860728E+00-0.941290374E+00-0.943735734E+00-0.946196808E+00 --0.948673815E+00-0.951168722E+00-0.953679641E+00-0.956207306E+00-0.958751827E+00 --0.961313206E+00-0.963891441E+00-0.966486533E+00-0.969099326E+00-0.971729349E+00 --0.974377430E+00-0.977043662E+00-0.979727920E+00-0.982429835E+00-0.985149393E+00 --0.987892003E+00-0.990649663E+00-0.993426109E+00-0.996221340E+00-0.999035358E+00 --0.100186816E+01-0.100471975E+01-0.100759013E+01-0.101047929E+01-0.101338454E+01 --0.101630936E+01-0.101925639E+01-0.102222563E+01-0.102521707E+01-0.102823073E+01 --0.866525448E+00-0.866342565E+00-0.866139037E+00-0.865914864E+00-0.865670046E+00 --0.865404583E+00-0.865118475E+00-0.864811722E+00-0.864486999E+00-0.864145320E+00 --0.863784904E+00-0.863401678E+00-0.862998524E+00-0.862576769E+00-0.862136349E+00 --0.861677569E+00-0.861200534E+00-0.860705243E+00-0.860191697E+00-0.859659895E+00 --0.859110395E+00-0.858544392E+00-0.857961916E+00-0.857362967E+00-0.856747780E+00 --0.856115845E+00-0.855467557E+00-0.854803005E+00-0.854122571E+00-0.853427334E+00 --0.852717360E+00-0.851992982E+00-0.851253893E+00-0.850499573E+00-0.849731404E+00 --0.848949411E+00-0.848154194E+00-0.847345634E+00-0.846523463E+00-0.845688388E+00 --0.844840729E+00-0.843981179E+00-0.843108852E+00-0.842223984E+00-0.841327491E+00 --0.840419425E+00-0.839501098E+00-0.838571292E+00-0.837630645E+00-0.836679653E+00 --0.835718297E+00-0.834746843E+00-0.833764736E+00-0.832773849E+00-0.831774431E+00 --0.830766482E+00-0.829749947E+00-0.828724375E+00-0.827689714E+00-0.826646751E+00 --0.825596967E+00-0.824540274E+00-0.823476674E+00-0.822406302E+00-0.821329257E+00 --0.820245342E+00-0.819156101E+00-0.818062236E+00-0.816961797E+00-0.815856432E+00 --0.814746141E+00-0.813631061E+00-0.812512747E+00-0.811391233E+00-0.810265851E+00 --0.809136597E+00-0.808003851E+00-0.806869431E+00-0.805733523E+00-0.804596128E+00 --0.803457013E+00-0.802316924E+00-0.801174844E+00-0.800032866E+00-0.798891669E+00 --0.797751027E+00-0.796610941E+00-0.795471410E+00-0.794332394E+00-0.793195333E+00 --0.792062623E+00-0.790934251E+00-0.789810103E+00-0.788690209E+00-0.787574567E+00 --0.786466446E+00-0.785365942E+00-0.784274072E+00-0.783191194E+00-0.782117309E+00 --0.781052927E+00-0.780000011E+00-0.778959860E+00-0.777933199E+00-0.776920028E+00 --0.775920348E+00-0.774934787E+00-0.773965783E+00-0.773014005E+00-0.772079450E+00 --0.771162121E+00-0.770263106E+00-0.769384282E+00-0.768525994E+00-0.767688896E+00 --0.766872988E+00-0.766078813E+00-0.765308132E+00-0.764561074E+00-0.763837749E+00 --0.763140085E+00-0.762468678E+00-0.761823496E+00-0.761203818E+00-0.760610633E+00 --0.760045168E+00-0.759508981E+00-0.759002097E+00-0.758524516E+00-0.758076239E+00 --0.757657810E+00-0.757270960E+00-0.756916179E+00-0.756593467E+00-0.756302823E+00 --0.756044248E+00-0.755818589E+00-0.755625842E+00-0.755466804E+00-0.755342476E+00 --0.755252810E+00-0.755197929E+00-0.755177844E+00-0.755192595E+00-0.755243382E+00 --0.755330161E+00-0.755452848E+00-0.755611444E+00-0.755805948E+00-0.756036361E+00 --0.756303145E+00-0.756607580E+00-0.756948543E+00-0.757325627E+00-0.757738833E+00 --0.758188161E+00-0.758674084E+00-0.759197314E+00-0.759757516E+00-0.760353438E+00 --0.760985151E+00-0.761652565E+00-0.762355127E+00-0.763093081E+00-0.763865150E+00 --0.764671061E+00-0.765511336E+00-0.766386175E+00-0.767294766E+00-0.768237122E+00 --0.769210393E+00-0.770214010E+00-0.771247973E+00-0.772313222E+00-0.773406402E+00 --0.774526519E+00-0.775673870E+00-0.776849287E+00-0.778052794E+00-0.779282038E+00 --0.780536946E+00-0.781812827E+00-0.783109857E+00-0.784427873E+00-0.785765715E+00 --0.787123156E+00-0.788499043E+00-0.789890431E+00-0.791297197E+00-0.792719054E+00 --0.794153758E+00-0.795600678E+00-0.797059186E+00-0.798529647E+00-0.800011331E+00 --0.801503935E+00-0.803007945E+00-0.804523148E+00-0.806048792E+00-0.807585909E+00 --0.809134685E+00-0.810694020E+00-0.812264631E+00-0.813846757E+00-0.815440272E+00 --0.817044463E+00-0.818659290E+00-0.820284916E+00-0.821922175E+00-0.823571181E+00 --0.825231931E+00-0.826903604E+00-0.828586037E+00-0.830279577E+00-0.831984703E+00 --0.833701407E+00-0.835429690E+00-0.837169560E+00-0.838921003E+00-0.840683544E+00 --0.842457981E+00-0.844244184E+00-0.846042151E+00-0.847851861E+00-0.849673507E+00 --0.851507135E+00-0.853352744E+00-0.855210336E+00-0.857079901E+00-0.858961908E+00 --0.860856215E+00-0.862762718E+00-0.864681411E+00-0.866612529E+00-0.868556635E+00 --0.870513183E+00-0.872482603E+00-0.874465022E+00-0.876459843E+00-0.878467937E+00 --0.880489303E+00-0.882523942E+00-0.884571853E+00-0.886632924E+00-0.888707630E+00 --0.890795828E+00-0.892897752E+00-0.895013401E+00-0.897142775E+00-0.899286223E+00 --0.901443810E+00-0.903615589E+00-0.905801643E+00-0.908002175E+00-0.910217170E+00 --0.912446790E+00-0.914691080E+00-0.916950432E+00-0.919224546E+00-0.921513701E+00 --0.923817911E+00-0.926137627E+00-0.928473020E+00-0.930824375E+00-0.933191443E+00 --0.935574226E+00-0.937972723E+00-0.940386933E+00-0.942817411E+00-0.945264089E+00 --0.947727490E+00-0.950207693E+00-0.952704760E+00-0.955218744E+00-0.957749585E+00 --0.960297283E+00-0.962861837E+00-0.965443249E+00-0.968043415E+00-0.970660996E+00 --0.973296563E+00-0.975950282E+00-0.978622151E+00-0.981312282E+00-0.984020826E+00 --0.986746479E+00-0.989493011E+00-0.992259351E+00-0.995044476E+00-0.997848387E+00 --0.100067108E+01-0.100351257E+01-0.100637284E+01-0.100925189E+01-0.101214786E+01 --0.101506458E+01-0.101800351E+01-0.102096464E+01-0.102394799E+01-0.102695354E+01 --0.868723843E+00-0.868543568E+00-0.868342648E+00-0.868121082E+00-0.867878872E+00 --0.867616017E+00-0.867332517E+00-0.867028373E+00-0.866703583E+00-0.866358148E+00 --0.865992069E+00-0.865604490E+00-0.865198457E+00-0.864773321E+00-0.864329117E+00 --0.863866602E+00-0.863386042E+00-0.862887444E+00-0.862370682E+00-0.861835665E+00 --0.861282394E+00-0.860712581E+00-0.860126327E+00-0.859523133E+00-0.858902845E+00 --0.858265559E+00-0.857612496E+00-0.856943902E+00-0.856259460E+00-0.855560210E+00 --0.854846221E+00-0.854117339E+00-0.853373361E+00-0.852615014E+00-0.851842964E+00 --0.851057211E+00-0.850257656E+00-0.849444502E+00-0.848618649E+00-0.847780209E+00 --0.846929161E+00-0.846065506E+00-0.845189582E+00-0.844302224E+00-0.843403294E+00 --0.842492792E+00-0.841571770E+00-0.840640507E+00-0.839697603E+00-0.838744603E+00 --0.837781504E+00-0.836808309E+00-0.835825210E+00-0.834833526E+00-0.833833312E+00 --0.832824566E+00-0.831807289E+00-0.830781481E+00-0.829747320E+00-0.828706227E+00 --0.827657884E+00-0.826602575E+00-0.825540396E+00-0.824471347E+00-0.823395427E+00 --0.822313024E+00-0.821225823E+00-0.820133818E+00-0.819037025E+00-0.817935414E+00 --0.816828879E+00-0.815717528E+00-0.814603066E+00-0.813485714E+00-0.812365472E+00 --0.811242340E+00-0.810116119E+00-0.808988236E+00-0.807858724E+00-0.806727583E+00 --0.805594814E+00-0.804460870E+00-0.803326628E+00-0.802192366E+00-0.801059365E+00 --0.799927614E+00-0.798796419E+00-0.797665779E+00-0.796535695E+00-0.795407763E+00 --0.794284171E+00-0.793164929E+00-0.792050038E+00-0.790939497E+00-0.789833224E+00 --0.788731455E+00-0.787637546E+00-0.786552504E+00-0.785476402E+00-0.784409240E+00 --0.783351017E+00-0.782302556E+00-0.781266050E+00-0.780242964E+00-0.779233189E+00 --0.778236726E+00-0.777253573E+00-0.776286235E+00-0.775336089E+00-0.774403135E+00 --0.773487373E+00-0.772588860E+00-0.771708047E+00-0.770848212E+00-0.770009709E+00 --0.769192486E+00-0.768396455E+00-0.767621638E+00-0.766871126E+00-0.766143601E+00 --0.765442300E+00-0.764766340E+00-0.764115597E+00-0.763490386E+00-0.762891936E+00 --0.762320070E+00-0.761776381E+00-0.761261996E+00-0.760776914E+00-0.760321269E+00 --0.759895435E+00-0.759499432E+00-0.759133668E+00-0.758799845E+00-0.758498091E+00 --0.758228783E+00-0.757992670E+00-0.757789407E+00-0.757618993E+00-0.757482037E+00 --0.757379916E+00-0.757312218E+00-0.757278882E+00-0.757280166E+00-0.757316669E+00 --0.757387846E+00-0.757494150E+00-0.757636461E+00-0.757814781E+00-0.758029109E+00 --0.758279601E+00-0.758566220E+00-0.758888290E+00-0.759246518E+00-0.759640905E+00 --0.760071449E+00-0.760538061E+00-0.761041037E+00-0.761580377E+00-0.762154842E+00 --0.762764357E+00-0.763408923E+00-0.764088540E+00-0.764803190E+00-0.765551780E+00 --0.766334169E+00-0.767150490E+00-0.768000711E+00-0.768885201E+00-0.769799644E+00 --0.770743840E+00-0.771718342E+00-0.772723191E+00-0.773758386E+00-0.774823129E+00 --0.775914906E+00-0.777033620E+00-0.778179268E+00-0.779351853E+00-0.780551685E+00 --0.781774054E+00-0.783015921E+00-0.784278936E+00-0.785563101E+00-0.786868271E+00 --0.788192840E+00-0.789533484E+00-0.790889505E+00-0.792260873E+00-0.793647619E+00 --0.795047316E+00-0.796458876E+00-0.797882388E+00-0.799317853E+00-0.800765316E+00 --0.802224449E+00-0.803694987E+00-0.805176930E+00-0.806670617E+00-0.808175780E+00 --0.809692172E+00-0.811220394E+00-0.812760131E+00-0.814311384E+00-0.815874487E+00 --0.817448859E+00-0.819034126E+00-0.820631084E+00-0.822239788E+00-0.823860240E+00 --0.825492437E+00-0.827136203E+00-0.828791248E+00-0.830458013E+00-0.832136499E+00 --0.833826706E+00-0.835528634E+00-0.837242282E+00-0.838967634E+00-0.840704690E+00 --0.842453929E+00-0.844215352E+00-0.845988730E+00-0.847773723E+00-0.849571352E+00 --0.851380979E+00-0.853202543E+00-0.855036592E+00-0.856883180E+00-0.858742305E+00 --0.860613979E+00-0.862497881E+00-0.864394131E+00-0.866303373E+00-0.868225607E+00 --0.870160831E+00-0.872109004E+00-0.874070104E+00-0.876044387E+00-0.878031852E+00 --0.880032500E+00-0.882046330E+00-0.884073949E+00-0.886115213E+00-0.888169897E+00 --0.890238537E+00-0.892321130E+00-0.894417679E+00-0.896528299E+00-0.898653216E+00 --0.900792210E+00-0.902945418E+00-0.905113210E+00-0.907295689E+00-0.909493118E+00 --0.911705278E+00-0.913932072E+00-0.916174016E+00-0.918431069E+00-0.920703478E+00 --0.922991346E+00-0.925294748E+00-0.927613691E+00-0.929948494E+00-0.932300127E+00 --0.934667155E+00-0.937050047E+00-0.939449087E+00-0.941864278E+00-0.944295930E+00 --0.946744401E+00-0.949209468E+00-0.951691664E+00-0.954191339E+00-0.956708499E+00 --0.959242516E+00-0.961793390E+00-0.964361666E+00-0.966948383E+00-0.969553292E+00 --0.972176345E+00-0.974817491E+00-0.977476811E+00-0.980154315E+00-0.982848953E+00 --0.985562657E+00-0.988296216E+00-0.991049631E+00-0.993823060E+00-0.996616865E+00 --0.999429456E+00-0.100226083E+01-0.100511099E+01-0.100797994E+01-0.101086697E+01 --0.101377558E+01-0.101670641E+01-0.101965944E+01-0.102263469E+01-0.102563214E+01 --0.870987946E+00-0.870810278E+00-0.870611966E+00-0.870393008E+00-0.870153406E+00 --0.869893062E+00-0.869609823E+00-0.869303869E+00-0.868975200E+00-0.868623815E+00 --0.868249715E+00-0.867859958E+00-0.867451842E+00-0.867023626E+00-0.866575721E+00 --0.866108612E+00-0.865623456E+00-0.865120255E+00-0.864599008E+00-0.864059474E+00 --0.863501641E+00-0.862927046E+00-0.862335355E+00-0.861726570E+00-0.861100690E+00 --0.860457715E+00-0.859799083E+00-0.859125182E+00-0.858435715E+00-0.857731377E+00 --0.857012042E+00-0.856277634E+00-0.855528181E+00-0.854764485E+00-0.853987185E+00 --0.853196152E+00-0.852391725E+00-0.851574310E+00-0.850743906E+00-0.849900810E+00 --0.849045106E+00-0.848177448E+00-0.847297829E+00-0.846406333E+00-0.845503587E+00 --0.844589646E+00-0.843665150E+00-0.842730401E+00-0.841785000E+00-0.840829410E+00 --0.839863630E+00-0.838887713E+00-0.837903022E+00-0.836910028E+00-0.835908235E+00 --0.834897853E+00-0.833878923E+00-0.832852060E+00-0.831817176E+00-0.830775984E+00 --0.829726506E+00-0.828670883E+00-0.827609174E+00-0.826541251E+00-0.825466445E+00 --0.824385683E+00-0.823300117E+00-0.822209748E+00-0.821114575E+00-0.820015219E+00 --0.818912115E+00-0.817804395E+00-0.816693782E+00-0.815580106E+00-0.814463473E+00 --0.813343883E+00-0.812221576E+00-0.811098318E+00-0.809974253E+00-0.808848667E+00 --0.807721453E+00-0.806593067E+00-0.805465428E+00-0.804338740E+00-0.803212553E+00 --0.802087520E+00-0.800963691E+00-0.799841067E+00-0.798720138E+00-0.797602354E+00 --0.796487241E+00-0.795376154E+00-0.794269095E+00-0.793166063E+00-0.792068149E+00 --0.790975968E+00-0.789889422E+00-0.788810428E+00-0.787740374E+00-0.786679259E+00 --0.785627592E+00-0.784585282E+00-0.783553267E+00-0.782534048E+00-0.781527677E+00 --0.780534294E+00-0.779554222E+00-0.778588702E+00-0.777640348E+00-0.776709095E+00 --0.775794721E+00-0.774897220E+00-0.774016635E+00-0.773155743E+00-0.772316182E+00 --0.771497951E+00-0.770701051E+00-0.769925506E+00-0.769171068E+00-0.768439859E+00 --0.767732847E+00-0.767051038E+00-0.766394446E+00-0.765763949E+00-0.765160094E+00 --0.764582812E+00-0.764032247E+00-0.763510360E+00-0.763017212E+00-0.762553638E+00 --0.762119895E+00-0.761715983E+00-0.761341903E+00-0.760997654E+00-0.760684377E+00 --0.760404797E+00-0.760158126E+00-0.759943882E+00-0.759762038E+00-0.759612613E+00 --0.759496258E+00-0.759414185E+00-0.759366474E+00-0.759353367E+00-0.759375041E+00 --0.759431396E+00-0.759522432E+00-0.759648274E+00-0.759810310E+00-0.760008354E+00 --0.760241717E+00-0.760510297E+00-0.760814156E+00-0.761153674E+00-0.761529365E+00 --0.761941215E+00-0.762388834E+00-0.762871761E+00-0.763389265E+00-0.763941056E+00 --0.764527840E+00-0.765149615E+00-0.765806382E+00-0.766497584E+00-0.767221979E+00 --0.767979626E+00-0.768770525E+00-0.769595021E+00-0.770451515E+00-0.771338276E+00 --0.772255145E+00-0.773201664E+00-0.774177835E+00-0.775183658E+00-0.776219388E+00 --0.777284446E+00-0.778374716E+00-0.779490207E+00-0.780630507E+00-0.781795616E+00 --0.782984493E+00-0.784194007E+00-0.785424576E+00-0.786676198E+00-0.787947078E+00 --0.789236532E+00-0.790542243E+00-0.791862783E+00-0.793198641E+00-0.794549885E+00 --0.795914781E+00-0.797291435E+00-0.798680201E+00-0.800081081E+00-0.801494330E+00 --0.802919472E+00-0.804356868E+00-0.805806223E+00-0.807267536E+00-0.808740759E+00 --0.810225838E+00-0.811722852E+00-0.813231803E+00-0.814752689E+00-0.816284823E+00 --0.817829745E+00-0.819386022E+00-0.820954041E+00-0.822533983E+00-0.824125847E+00 --0.825729635E+00-0.827345112E+00-0.828972441E+00-0.830612214E+00-0.832263925E+00 --0.833927536E+00-0.835603049E+00-0.837290444E+00-0.838989504E+00-0.840701254E+00 --0.842425253E+00-0.844161559E+00-0.845910125E+00-0.847670950E+00-0.849443750E+00 --0.851228961E+00-0.853026901E+00-0.854837616E+00-0.856660921E+00-0.858496763E+00 --0.860345143E+00-0.862206311E+00-0.864080531E+00-0.865967757E+00-0.867867786E+00 --0.869781054E+00-0.871707564E+00-0.873647416E+00-0.875600710E+00-0.877567185E+00 --0.879546950E+00-0.881540394E+00-0.883547553E+00-0.885568507E+00-0.887603413E+00 --0.889652272E+00-0.891715043E+00-0.893792142E+00-0.895883569E+00-0.897989324E+00 --0.900109635E+00-0.902244467E+00-0.904394034E+00-0.906558351E+00-0.908737418E+00 --0.910931323E+00-0.913140494E+00-0.915364816E+00-0.917604708E+00-0.919860431E+00 --0.922131324E+00-0.924417861E+00-0.926720121E+00-0.929038478E+00-0.931372944E+00 --0.933723625E+00-0.936090775E+00-0.938474380E+00-0.940874240E+00-0.943290762E+00 --0.945724034E+00-0.948174047E+00-0.950641371E+00-0.953126121E+00-0.955628570E+00 --0.958148906E+00-0.960686109E+00-0.963241047E+00-0.965814194E+00-0.968405199E+00 --0.971014982E+00-0.973643023E+00-0.976289249E+00-0.978953250E+00-0.981635151E+00 --0.984336907E+00-0.987058518E+00-0.989799984E+00-0.992561305E+00-0.995342481E+00 --0.998143512E+00-0.100096455E+01-0.100380460E+01-0.100666344E+01-0.100954186E+01 --0.101244237E+01-0.101536510E+01-0.101831003E+01-0.102127717E+01-0.102426652E+01 --0.873318557E+00-0.873145645E+00-0.872950017E+00-0.872731674E+00-0.872490615E+00 --0.872226841E+00-0.871940352E+00-0.871631148E+00-0.871299228E+00-0.870944593E+00 --0.870567243E+00-0.870172718E+00-0.869760018E+00-0.869327930E+00-0.868876325E+00 --0.868404621E+00-0.867914616E+00-0.867405419E+00-0.866876954E+00-0.866331830E+00 --0.865767705E+00-0.865185705E+00-0.864587254E+00-0.863972354E+00-0.863340943E+00 --0.862692377E+00-0.862026826E+00-0.861347105E+00-0.860650636E+00-0.859939450E+00 --0.859213546E+00-0.858472925E+00-0.857717693E+00-0.856948232E+00-0.856164995E+00 --0.855367829E+00-0.854557675E+00-0.853734534E+00-0.852898358E+00-0.852049528E+00 --0.851188595E+00-0.850316003E+00-0.849431435E+00-0.848535076E+00-0.847627939E+00 --0.846709151E+00-0.845780183E+00-0.844841036E+00-0.843891708E+00-0.842932592E+00 --0.841963567E+00-0.840984535E+00-0.839996907E+00-0.839000976E+00-0.837996699E+00 --0.836984135E+00-0.835963562E+00-0.834934762E+00-0.833897976E+00-0.832854614E+00 --0.831804801E+00-0.830748366E+00-0.829685786E+00-0.828617193E+00-0.827543453E+00 --0.826463108E+00-0.825378209E+00-0.824288754E+00-0.823194745E+00-0.822096258E+00 --0.820994196E+00-0.819888839E+00-0.818780850E+00-0.817669904E+00-0.816556001E+00 --0.815439141E+00-0.814319979E+00-0.813200136E+00-0.812079608E+00-0.810958396E+00 --0.809836474E+00-0.808713572E+00-0.807591390E+00-0.806470159E+00-0.805349878E+00 --0.804230956E+00-0.803113880E+00-0.801997547E+00-0.800884428E+00-0.799774522E+00 --0.798667830E+00-0.797564361E+00-0.796464453E+00-0.795369104E+00-0.794279387E+00 --0.793195300E+00-0.792116845E+00-0.791044362E+00-0.789980355E+00-0.788925312E+00 --0.787879540E+00-0.786843064E+00-0.785816284E+00-0.784801864E+00-0.783800295E+00 --0.782811577E+00-0.781835710E+00-0.780872620E+00-0.779925494E+00-0.778995216E+00 --0.778081811E+00-0.777185279E+00-0.776305618E+00-0.775443856E+00-0.774603238E+00 --0.773783924E+00-0.772985466E+00-0.772207794E+00-0.771450907E+00-0.770717094E+00 --0.770007398E+00-0.769321803E+00-0.768660202E+00-0.768024335E+00-0.767414988E+00 --0.766832190E+00-0.766275941E+00-0.765745624E+00-0.765244125E+00-0.764772381E+00 --0.764330392E+00-0.763918159E+00-0.763535680E+00-0.763183072E+00-0.762860116E+00 --0.762567856E+00-0.762308501E+00-0.762081546E+00-0.761887017E+00-0.761725533E+00 --0.761597171E+00-0.761501931E+00-0.761439969E+00-0.761412159E+00-0.761419006E+00 --0.761460533E+00-0.761536741E+00-0.761647577E+00-0.761792909E+00-0.761972998E+00 --0.762188175E+00-0.762438608E+00-0.762724299E+00-0.763045247E+00-0.763401243E+00 --0.763792394E+00-0.764218732E+00-0.764680393E+00-0.765176208E+00-0.765705890E+00 --0.766270421E+00-0.766869943E+00-0.767503994E+00-0.768170840E+00-0.768870319E+00 --0.769602432E+00-0.770367566E+00-0.771165830E+00-0.771994560E+00-0.772853367E+00 --0.773742375E+00-0.774661669E+00-0.775610614E+00-0.776589211E+00-0.777596397E+00 --0.778629357E+00-0.779688963E+00-0.780772563E+00-0.781879643E+00-0.783011230E+00 --0.784167504E+00-0.785344871E+00-0.786543247E+00-0.787760606E+00-0.788996330E+00 --0.790250418E+00-0.791521777E+00-0.792807974E+00-0.794108930E+00-0.795424646E+00 --0.796754550E+00-0.798095873E+00-0.799449939E+00-0.800816749E+00-0.802196034E+00 --0.803587769E+00-0.804992138E+00-0.806409143E+00-0.807838000E+00-0.809279161E+00 --0.810733073E+00-0.812198921E+00-0.813676917E+00-0.815167360E+00-0.816670203E+00 --0.818184377E+00-0.819711066E+00-0.821250365E+00-0.822801875E+00-0.824365308E+00 --0.825940664E+00-0.827528071E+00-0.829127993E+00-0.830740435E+00-0.832365363E+00 --0.834002322E+00-0.835651182E+00-0.837312052E+00-0.838985657E+00-0.840672075E+00 --0.842371001E+00-0.844082187E+00-0.845805632E+00-0.847541323E+00-0.849289669E+00 --0.851051152E+00-0.852825347E+00-0.854612271E+00-0.856411924E+00-0.858224306E+00 --0.860049417E+00-0.861887754E+00-0.863739487E+00-0.865604330E+00-0.867482446E+00 --0.869373835E+00-0.871278497E+00-0.873196432E+00-0.875127895E+00-0.877073180E+00 --0.879032246E+00-0.881005049E+00-0.882991620E+00-0.884992161E+00-0.887006920E+00 --0.889035867E+00-0.891079003E+00-0.893136327E+00-0.895207839E+00-0.897294621E+00 --0.899395398E+00-0.901511191E+00-0.903642211E+00-0.905788096E+00-0.907948731E+00 --0.910124447E+00-0.912315890E+00-0.914522228E+00-0.916744390E+00-0.918982377E+00 --0.921236189E+00-0.923505756E+00-0.925791153E+00-0.928092775E+00-0.930410563E+00 --0.932744751E+00-0.935095603E+00-0.937463119E+00-0.939847470E+00-0.942248259E+00 --0.944666259E+00-0.947101389E+00-0.949553856E+00-0.952023760E+00-0.954511065E+00 --0.957016451E+00-0.959539897E+00-0.962080632E+00-0.964639417E+00-0.967216401E+00 --0.969811970E+00-0.972426123E+00-0.975058998E+00-0.977709469E+00-0.980379422E+00 --0.983069229E+00-0.985778891E+00-0.988508409E+00-0.991257781E+00-0.994027009E+00 --0.996816091E+00-0.999625029E+00-0.100245382E+01-0.100530239E+01-0.100817249E+01 --0.101106425E+01-0.101397763E+01-0.101691264E+01-0.101986927E+01-0.102284751E+01 --0.875731144E+00-0.875553589E+00-0.875353877E+00-0.875132284E+00-0.874887975E+00 --0.874620951E+00-0.874331211E+00-0.874018757E+00-0.873683587E+00-0.873325702E+00 --0.872945101E+00-0.872545808E+00-0.872127853E+00-0.871689652E+00-0.871231390E+00 --0.870754078E+00-0.870257312E+00-0.869741278E+00-0.869206328E+00-0.868653171E+00 --0.868081807E+00-0.867492240E+00-0.866886209E+00-0.866263728E+00-0.865624797E+00 --0.864969416E+00-0.864297158E+00-0.863609139E+00-0.862905487E+00-0.862186901E+00 --0.861453532E+00-0.860705382E+00-0.859942449E+00-0.859165425E+00-0.858375470E+00 --0.857571804E+00-0.856754867E+00-0.855924661E+00-0.855081378E+00-0.854226346E+00 --0.853359681E+00-0.852481038E+00-0.851590475E+00-0.850688295E+00-0.849774383E+00 --0.848850333E+00-0.847916402E+00-0.846972591E+00-0.846018899E+00-0.845055176E+00 --0.844080976E+00-0.843098486E+00-0.842106996E+00-0.841107282E+00-0.840099344E+00 --0.839083182E+00-0.838058815E+00-0.837027895E+00-0.835988664E+00-0.834943060E+00 --0.833891085E+00-0.832833100E+00-0.831769431E+00-0.830699622E+00-0.829624153E+00 --0.828543450E+00-0.827458227E+00-0.826368449E+00-0.825274411E+00-0.824176834E+00 --0.823074739E+00-0.821969833E+00-0.820862685E+00-0.819753296E+00-0.818641666E+00 --0.817527752E+00-0.816411617E+00-0.815295076E+00-0.814177549E+00-0.813059038E+00 --0.811940018E+00-0.810822339E+00-0.809704326E+00-0.808587360E+00-0.807471439E+00 --0.806356880E+00-0.805245752E+00-0.804135794E+00-0.803028840E+00-0.801924944E+00 --0.800824106E+00-0.799726834E+00-0.798635134E+00-0.797547196E+00-0.796464739E+00 --0.795388279E+00-0.794317816E+00-0.793253388E+00-0.792195873E+00-0.791146658E+00 --0.790106725E+00-0.789076083E+00-0.788054736E+00-0.787045021E+00-0.786047658E+00 --0.785062873E+00-0.784090667E+00-0.783130979E+00-0.782186026E+00-0.781257793E+00 --0.780346278E+00-0.779451484E+00-0.778573422E+00-0.777712356E+00-0.776870035E+00 --0.776048344E+00-0.775247506E+00-0.774467454E+00-0.773708188E+00-0.772971701E+00 --0.772259344E+00-0.771570435E+00-0.770905088E+00-0.770263630E+00-0.769648334E+00 --0.769059588E+00-0.768497116E+00-0.767961006E+00-0.767451244E+00-0.766970734E+00 --0.766519980E+00-0.766099065E+00-0.765707576E+00-0.765345193E+00-0.765012683E+00 --0.764710891E+00-0.764439746E+00-0.764200039E+00-0.763993191E+00-0.763819740E+00 --0.763679397E+00-0.763571664E+00-0.763496360E+00-0.763454211E+00-0.763445309E+00 --0.763470638E+00-0.763530520E+00-0.763624956E+00-0.763753958E+00-0.763917049E+00 --0.764114004E+00-0.764345782E+00-0.764612817E+00-0.764914853E+00-0.765251041E+00 --0.765621319E+00-0.766026371E+00-0.766466619E+00-0.766940685E+00-0.767448500E+00 --0.767990454E+00-0.768567469E+00-0.769177327E+00-0.769819818E+00-0.770494915E+00 --0.771202115E+00-0.771941316E+00-0.772712349E+00-0.773513672E+00-0.774344997E+00 --0.775206269E+00-0.776097497E+00-0.777019164E+00-0.777967867E+00-0.778943008E+00 --0.779944587E+00-0.780972577E+00-0.782025132E+00-0.783101215E+00-0.784200825E+00 --0.785323935E+00-0.786468936E+00-0.787632981E+00-0.788815188E+00-0.790015760E+00 --0.791234697E+00-0.792471880E+00-0.793723803E+00-0.794989836E+00-0.796270084E+00 --0.797564211E+00-0.798870861E+00-0.800190612E+00-0.801523189E+00-0.802869177E+00 --0.804227900E+00-0.805599286E+00-0.806983537E+00-0.808380608E+00-0.809790297E+00 --0.811212293E+00-0.812647424E+00-0.814095006E+00-0.815555037E+00-0.817027529E+00 --0.818512580E+00-0.820010145E+00-0.821520225E+00-0.823042820E+00-0.824577929E+00 --0.826125403E+00-0.827684941E+00-0.829257457E+00-0.830842493E+00-0.832440048E+00 --0.834050085E+00-0.835672200E+00-0.837307129E+00-0.838954870E+00-0.840615425E+00 --0.842288807E+00-0.843974872E+00-0.845673197E+00-0.847384039E+00-0.849108077E+00 --0.850845272E+00-0.852595620E+00-0.854358800E+00-0.856134648E+00-0.857923323E+00 --0.859725436E+00-0.861540988E+00-0.863369978E+00-0.865212407E+00-0.867068269E+00 --0.868937442E+00-0.870819889E+00-0.872715918E+00-0.874626009E+00-0.876550054E+00 --0.878487893E+00-0.880439499E+00-0.882405125E+00-0.884385174E+00-0.886379722E+00 --0.888388471E+00-0.890411409E+00-0.892448737E+00-0.894500869E+00-0.896567733E+00 --0.898649081E+00-0.900745620E+00-0.902857405E+00-0.904984436E+00-0.907126713E+00 --0.909284114E+00-0.911456891E+00-0.913645493E+00-0.915849919E+00-0.918070171E+00 --0.920306247E+00-0.922558148E+00-0.924826601E+00-0.927111245E+00-0.929412233E+00 --0.931729862E+00-0.934064239E+00-0.936415363E+00-0.938783236E+00-0.941168020E+00 --0.943570163E+00-0.945989692E+00-0.948426857E+00-0.950881694E+00-0.953354127E+00 --0.955844384E+00-0.958352515E+00-0.960878900E+00-0.963423467E+00-0.965986607E+00 --0.968568370E+00-0.971168689E+00-0.973787115E+00-0.976424191E+00-0.979081095E+00 --0.981757825E+00-0.984454383E+00-0.987170768E+00-0.989906981E+00-0.992663021E+00 --0.995438888E+00-0.998236067E+00-0.100105312E+01-0.100389105E+01-0.100675177E+01 --0.100963280E+01-0.101253537E+01-0.101545955E+01-0.101840535E+01-0.102137278E+01 --0.878211853E+00-0.878037026E+00-0.877831376E+00-0.877603382E+00-0.877353045E+00 --0.877080365E+00-0.876785342E+00-0.876467976E+00-0.876128266E+00-0.875766214E+00 --0.875381818E+00-0.874978748E+00-0.874553614E+00-0.874107685E+00-0.873641237E+00 --0.873155660E+00-0.872651326E+00-0.872127842E+00-0.871584772E+00-0.871023495E+00 --0.870444013E+00-0.869846802E+00-0.869232802E+00-0.868601835E+00-0.867953919E+00 --0.867289053E+00-0.866607237E+00-0.865909677E+00-0.865197494E+00-0.864470573E+00 --0.863728863E+00-0.862972369E+00-0.862201075E+00-0.861415764E+00-0.860617326E+00 --0.859805760E+00-0.858981354E+00-0.858143626E+00-0.857292633E+00-0.856430007E+00 --0.855555748E+00-0.854669857E+00-0.853772333E+00-0.852863969E+00-0.851944051E+00 --0.851013877E+00-0.850073823E+00-0.849123888E+00-0.848164154E+00-0.847194402E+00 --0.846215425E+00-0.845228561E+00-0.844231803E+00-0.843227150E+00-0.842214605E+00 --0.841194166E+00-0.840165834E+00-0.839131015E+00-0.838088923E+00-0.837040179E+00 --0.835984782E+00-0.834924386E+00-0.833857354E+00-0.832785645E+00-0.831708401E+00 --0.830625968E+00-0.829540091E+00-0.828448799E+00-0.827353980E+00-0.826255633E+00 --0.825153696E+00-0.824049256E+00-0.822942270E+00-0.821832739E+00-0.820720663E+00 --0.819607235E+00-0.818493458E+00-0.817378998E+00-0.816263489E+00-0.815146994E+00 --0.814030606E+00-0.812915038E+00-0.811800486E+00-0.810687162E+00-0.809574840E+00 --0.808463943E+00-0.807356149E+00-0.806251458E+00-0.805149878E+00-0.804051364E+00 --0.802955861E+00-0.801864417E+00-0.800778244E+00-0.799697343E+00-0.798621708E+00 --0.797551680E+00-0.796487954E+00-0.795430995E+00-0.794380804E+00-0.793337766E+00 --0.792303806E+00-0.791279180E+00-0.790264568E+00-0.789259868E+00-0.788265780E+00 --0.787284433E+00-0.786315766E+00-0.785359677E+00-0.784417097E+00-0.783491024E+00 --0.782581637E+00-0.781688340E+00-0.780811108E+00-0.779951147E+00-0.779109358E+00 --0.778286559E+00-0.777484407E+00-0.776702918E+00-0.775942093E+00-0.775202492E+00 --0.774485890E+00-0.773792890E+00-0.773123452E+00-0.772477576E+00-0.771856358E+00 --0.771261559E+00-0.770693170E+00-0.770151252E+00-0.769635802E+00-0.769146779E+00 --0.768686981E+00-0.768256290E+00-0.767854705E+00-0.767482316E+00-0.767140456E+00 --0.766829242E+00-0.766548674E+00-0.766298991E+00-0.766079703E+00-0.765892769E+00 --0.765738250E+00-0.765616147E+00-0.765526522E+00-0.765470191E+00-0.765447073E+00 --0.765457168E+00-0.765500759E+00-0.765578764E+00-0.765690573E+00-0.765836224E+00 --0.766015715E+00-0.766229048E+00-0.766477227E+00-0.766759728E+00-0.767076314E+00 --0.767426941E+00-0.767811840E+00-0.768230259E+00-0.768682236E+00-0.769167855E+00 --0.769687117E+00-0.770240764E+00-0.770826215E+00-0.771442923E+00-0.772091631E+00 --0.772772340E+00-0.773485049E+00-0.774229758E+00-0.775004172E+00-0.775808580E+00 --0.776642936E+00-0.777506008E+00-0.778397864E+00-0.779315689E+00-0.780259645E+00 --0.781230019E+00-0.782226811E+00-0.783247833E+00-0.784292220E+00-0.785359841E+00 --0.786448905E+00-0.787558923E+00-0.788689497E+00-0.789838168E+00-0.791004934E+00 --0.792189797E+00-0.793391010E+00-0.794607100E+00-0.795837836E+00-0.797082774E+00 --0.798341998E+00-0.799614505E+00-0.800900110E+00-0.802199142E+00-0.803512136E+00 --0.804838190E+00-0.806177064E+00-0.807528759E+00-0.808893665E+00-0.810272200E+00 --0.811663371E+00-0.813067532E+00-0.814484705E+00-0.815914325E+00-0.817356737E+00 --0.818812664E+00-0.820281106E+00-0.821762103E+00-0.823255948E+00-0.824762578E+00 --0.826281909E+00-0.827814336E+00-0.829359416E+00-0.830917019E+00-0.832487153E+00 --0.834070252E+00-0.835666349E+00-0.837275137E+00-0.838896979E+00-0.840531774E+00 --0.842179278E+00-0.843839616E+00-0.845512820E+00-0.847199291E+00-0.848899021E+00 --0.850611880E+00-0.852337767E+00-0.854076768E+00-0.855828797E+00-0.857594322E+00 --0.859373343E+00-0.861165861E+00-0.862971875E+00-0.864791386E+00-0.866624392E+00 --0.868470896E+00-0.870331343E+00-0.872205685E+00-0.874094004E+00-0.875996301E+00 --0.877912725E+00-0.879843113E+00-0.881787855E+00-0.883747025E+00-0.885720623E+00 --0.887708925E+00-0.889711596E+00-0.891728999E+00-0.893761134E+00-0.895808001E+00 --0.897870034E+00-0.899947319E+00-0.902039831E+00-0.904147404E+00-0.906270646E+00 --0.908409558E+00-0.910564141E+00-0.912734367E+00-0.914920506E+00-0.917122604E+00 --0.919340660E+00-0.921574981E+00-0.923825854E+00-0.926092593E+00-0.928376396E+00 --0.930677324E+00-0.932995001E+00-0.935329426E+00-0.937680598E+00-0.940049125E+00 --0.942435387E+00-0.944839098E+00-0.947260388E+00-0.949699257E+00-0.952155963E+00 --0.954630965E+00-0.957124127E+00-0.959635567E+00-0.962165658E+00-0.964714525E+00 --0.967281974E+00-0.969867979E+00-0.972471961E+00-0.975095685E+00-0.977739237E+00 --0.980402616E+00-0.983085822E+00-0.985789144E+00-0.988512799E+00-0.991256265E+00 --0.994019541E+00-0.996802627E+00-0.999605550E+00-0.100243068E+01-0.100527800E+01 --0.100814749E+01-0.101103918E+01-0.101395254E+01-0.101688752E+01-0.101984412E+01 --0.880745116E+00-0.880568477E+00-0.880366567E+00-0.880139385E+00-0.879885415E+00 --0.879606983E+00-0.879306208E+00-0.878983089E+00-0.878637627E+00-0.878269822E+00 --0.877879674E+00-0.877468343E+00-0.877036617E+00-0.876583099E+00-0.876108466E+00 --0.875613841E+00-0.875100531E+00-0.874567115E+00-0.874014296E+00-0.873442890E+00 --0.872852968E+00-0.872248060E+00-0.871623064E+00-0.870981294E+00-0.870323395E+00 --0.869648985E+00-0.868957625E+00-0.868250404E+00-0.867528453E+00-0.866791763E+00 --0.866040334E+00-0.865274240E+00-0.864493809E+00-0.863699974E+00-0.862892794E+00 --0.862072236E+00-0.861238298E+00-0.860390778E+00-0.859531314E+00-0.858660464E+00 --0.857778227E+00-0.856884604E+00-0.855979594E+00-0.855063199E+00-0.854135929E+00 --0.853199079E+00-0.852252171E+00-0.851295203E+00-0.850328176E+00-0.849351222E+00 --0.848365935E+00-0.847372285E+00-0.846370266E+00-0.845360220E+00-0.844342280E+00 --0.843316515E+00-0.842283750E+00-0.841244171E+00-0.840197949E+00-0.839145315E+00 --0.838086279E+00-0.837020693E+00-0.835949866E+00-0.834874361E+00-0.833794178E+00 --0.832710587E+00-0.831620831E+00-0.830528027E+00-0.829431964E+00-0.828332233E+00 --0.827228834E+00-0.826123527E+00-0.825015750E+00-0.823905383E+00-0.822792800E+00 --0.821679621E+00-0.820565845E+00-0.819451473E+00-0.818336505E+00-0.817221547E+00 --0.816106987E+00-0.814993236E+00-0.813880295E+00-0.812769966E+00-0.811659592E+00 --0.810552028E+00-0.809447568E+00-0.808346212E+00-0.807247958E+00-0.806153853E+00 --0.805062729E+00-0.803976796E+00-0.802895827E+00-0.801819794E+00-0.800748579E+00 --0.799683213E+00-0.798625394E+00-0.797575061E+00-0.796531527E+00-0.795494762E+00 --0.794466312E+00-0.793447447E+00-0.792438153E+00-0.791438816E+00-0.790449513E+00 --0.789472303E+00-0.788507834E+00-0.787556108E+00-0.786617740E+00-0.785693602E+00 --0.784784767E+00-0.783891996E+00-0.783015290E+00-0.782156435E+00-0.781315464E+00 --0.780492371E+00-0.779689128E+00-0.778906628E+00-0.778144708E+00-0.777403019E+00 --0.776682991E+00-0.775986508E+00-0.775313570E+00-0.774664177E+00-0.774038731E+00 --0.773437754E+00-0.772862886E+00-0.772314270E+00-0.771791905E+00-0.771296140E+00 --0.770828336E+00-0.770388428E+00-0.769976748E+00-0.769594717E+00-0.769243326E+00 --0.768921994E+00-0.768630754E+00-0.768369606E+00-0.768138582E+00-0.767938810E+00 --0.767770383E+00-0.767633802E+00-0.767529881E+00-0.767459368E+00-0.767422068E+00 --0.767417668E+00-0.767445771E+00-0.767506477E+00-0.767600795E+00-0.767728964E+00 --0.767890985E+00-0.768086743E+00-0.768315435E+00-0.768577387E+00-0.768873306E+00 --0.769203167E+00-0.769567174E+00-0.769963963E+00-0.770393161E+00-0.770855582E+00 --0.771351646E+00-0.771881083E+00-0.772442016E+00-0.773034260E+00-0.773657817E+00 --0.774312686E+00-0.774998867E+00-0.775716711E+00-0.776464673E+00-0.777240908E+00 --0.778045784E+00-0.778879298E+00-0.779741303E+00-0.780629157E+00-0.781542340E+00 --0.782481619E+00-0.783447261E+00-0.784436300E+00-0.785449130E+00-0.786483299E+00 --0.787538409E+00-0.788614458E+00-0.789711163E+00-0.790826356E+00-0.791959701E+00 --0.793109816E+00-0.794275159E+00-0.795455731E+00-0.796651531E+00-0.797862560E+00 --0.799087293E+00-0.800325383E+00-0.801577184E+00-0.802842994E+00-0.804122813E+00 --0.805416282E+00-0.806722666E+00-0.808042569E+00-0.809376101E+00-0.810723262E+00 --0.812083851E+00-0.813457462E+00-0.814844084E+00-0.816244010E+00-0.817656930E+00 --0.819083550E+00-0.820522955E+00-0.821975147E+00-0.823440125E+00-0.824918067E+00 --0.826409375E+00-0.827914059E+00-0.829431716E+00-0.830961929E+00-0.832505225E+00 --0.834061731E+00-0.835631448E+00-0.837214282E+00-0.838810143E+00-0.840419058E+00 --0.842041028E+00-0.843676169E+00-0.845324475E+00-0.846985900E+00-0.848660826E+00 --0.850349060E+00-0.852050601E+00-0.853765449E+00-0.855494008E+00-0.857236068E+00 --0.858991624E+00-0.860760677E+00-0.862543412E+00-0.864339876E+00-0.866150019E+00 --0.867974287E+00-0.869812790E+00-0.871665002E+00-0.873531277E+00-0.875411614E+00 --0.877306319E+00-0.879215624E+00-0.881139272E+00-0.883077322E+00-0.885029825E+00 --0.886997410E+00-0.888979486E+00-0.890976487E+00-0.892988517E+00-0.895015473E+00 --0.897057435E+00-0.899114725E+00-0.901187686E+00-0.903276316E+00-0.905380617E+00 --0.907500586E+00-0.909636209E+00-0.911787484E+00-0.913954543E+00-0.916138258E+00 --0.918338387E+00-0.920554922E+00-0.922787864E+00-0.925037231E+00-0.927303476E+00 --0.929586778E+00-0.931887135E+00-0.934204549E+00-0.936539020E+00-0.938891026E+00 --0.941260787E+00-0.943648126E+00-0.946053044E+00-0.948475845E+00-0.950916794E+00 --0.953375993E+00-0.955853779E+00-0.958349938E+00-0.960864781E+00-0.963398308E+00 --0.965951375E+00-0.968522741E+00-0.971113286E+00-0.973723659E+00-0.976353899E+00 --0.979003965E+00-0.981673842E+00-0.984363528E+00-0.987073026E+00-0.989802333E+00 --0.992551451E+00-0.995320379E+00-0.998109875E+00-0.100092160E+01-0.100375550E+01 --0.100661160E+01-0.100948987E+01-0.101239160E+01-0.101531576E+01-0.101826155E+01 --0.883363796E+00-0.883182041E+00-0.882975014E+00-0.882742716E+00-0.882485147E+00 --0.882202307E+00-0.881894196E+00-0.881564391E+00-0.881213177E+00-0.880839620E+00 --0.880443719E+00-0.880022572E+00-0.879579767E+00-0.879116462E+00-0.878633098E+00 --0.878128974E+00-0.877604302E+00-0.877059081E+00-0.876495307E+00-0.875912959E+00 --0.875312446E+00-0.874694369E+00-0.874058559E+00-0.873405158E+00-0.872735614E+00 --0.872049927E+00-0.871348617E+00-0.870631890E+00-0.869899229E+00-0.869151530E+00 --0.868388791E+00-0.867611055E+00-0.866819823E+00-0.866015802E+00-0.865198628E+00 --0.864367952E+00-0.863523897E+00-0.862666649E+00-0.861797715E+00-0.860917395E+00 --0.860025689E+00-0.859122628E+00-0.858208321E+00-0.857282905E+00-0.856348557E+00 --0.855402339E+00-0.854447018E+00-0.853482557E+00-0.852508197E+00-0.851524192E+00 --0.850531790E+00-0.849531026E+00-0.848521900E+00-0.847506072E+00-0.846481781E+00 --0.845449906E+00-0.844411172E+00-0.843365966E+00-0.842314544E+00-0.841256618E+00 --0.840192188E+00-0.839122165E+00-0.838047542E+00-0.836968071E+00-0.835884019E+00 --0.834795569E+00-0.833702228E+00-0.832605555E+00-0.831506202E+00-0.830404170E+00 --0.829299458E+00-0.828191219E+00-0.827081530E+00-0.825969626E+00-0.824857091E+00 --0.823743650E+00-0.822629304E+00-0.821514052E+00-0.820397895E+00-0.819282495E+00 --0.818168302E+00-0.817055267E+00-0.815944002E+00-0.814834427E+00-0.813725920E+00 --0.812620308E+00-0.811517593E+00-0.810417773E+00-0.809321737E+00-0.808231362E+00 --0.807143052E+00-0.806060561E+00-0.804983661E+00-0.803911717E+00-0.802844709E+00 --0.801783893E+00-0.800730642E+00-0.799684939E+00-0.798646783E+00-0.797616318E+00 --0.796593363E+00-0.795579272E+00-0.794575080E+00-0.793580691E+00-0.792596258E+00 --0.791623034E+00-0.790662702E+00-0.789714102E+00-0.788779612E+00-0.787859477E+00 --0.786953697E+00-0.786062273E+00-0.785186248E+00-0.784328219E+00-0.783488037E+00 --0.782665730E+00-0.781861275E+00-0.781076432E+00-0.780312240E+00-0.779568462E+00 --0.778845375E+00-0.778145554E+00-0.777468972E+00-0.776815840E+00-0.776186551E+00 --0.775581105E+00-0.774999501E+00-0.774443374E+00-0.773913735E+00-0.773410921E+00 --0.772936133E+00-0.772489365E+00-0.772069909E+00-0.771678328E+00-0.771315174E+00 --0.770981939E+00-0.770678797E+00-0.770405747E+00-0.770163137E+00-0.769951851E+00 --0.769771910E+00-0.769623379E+00-0.769506110E+00-0.769420334E+00-0.769366786E+00 --0.769345830E+00-0.769357375E+00-0.769401421E+00-0.769478277E+00-0.769588922E+00 --0.769733147E+00-0.769909938E+00-0.770119449E+00-0.770362151E+00-0.770637882E+00 --0.770946962E+00-0.771289226E+00-0.771663892E+00-0.772070961E+00-0.772510431E+00 --0.772983113E+00-0.773488270E+00-0.774024637E+00-0.774592318E+00-0.775190958E+00 --0.775820207E+00-0.776480065E+00-0.777170534E+00-0.777890310E+00-0.778638034E+00 --0.779413771E+00-0.780217716E+00-0.781049871E+00-0.781907706E+00-0.782790871E+00 --0.783699366E+00-0.784633468E+00-0.785591803E+00-0.786571077E+00-0.787571291E+00 --0.788592445E+00-0.789634539E+00-0.790697573E+00-0.791780650E+00-0.792879651E+00 --0.793994207E+00-0.795124320E+00-0.796269988E+00-0.797431213E+00-0.798607994E+00 --0.799798189E+00-0.801002974E+00-0.802221758E+00-0.803454522E+00-0.804701266E+00 --0.805962108E+00-0.807237040E+00-0.808525603E+00-0.809827798E+00-0.811143625E+00 --0.812473063E+00-0.813816356E+00-0.815172992E+00-0.816542938E+00-0.817926169E+00 --0.819323105E+00-0.820733644E+00-0.822156969E+00-0.823593673E+00-0.825043805E+00 --0.826507313E+00-0.827984197E+00-0.829474417E+00-0.830977827E+00-0.832494469E+00 --0.834024345E+00-0.835567453E+00-0.837123671E+00-0.838693544E+00-0.840276810E+00 --0.841873208E+00-0.843482741E+00-0.845105801E+00-0.846742609E+00-0.848392825E+00 --0.850056502E+00-0.851733640E+00-0.853424238E+00-0.855128774E+00-0.856847190E+00 --0.858579285E+00-0.860325059E+00-0.862084512E+00-0.863857660E+00-0.865644915E+00 --0.867446454E+00-0.869262275E+00-0.871092371E+00-0.872936564E+00-0.874794849E+00 --0.876667767E+00-0.878555354E+00-0.880457617E+00-0.882374455E+00-0.884305949E+00 --0.886252392E+00-0.888213800E+00-0.890190280E+00-0.892181789E+00-0.894188552E+00 --0.896210618E+00-0.898247852E+00-0.900301137E+00-0.902370392E+00-0.904455298E+00 --0.906555856E+00-0.908672065E+00-0.910803925E+00-0.912952202E+00-0.915117179E+00 --0.917298855E+00-0.919497229E+00-0.921712303E+00-0.923943969E+00-0.926192177E+00 --0.928457886E+00-0.930740716E+00-0.933040795E+00-0.935358120E+00-0.937692746E+00 --0.940045419E+00-0.942416272E+00-0.944804827E+00-0.947211458E+00-0.949636367E+00 --0.952079690E+00-0.954541195E+00-0.957021546E+00-0.959520876E+00-0.962039185E+00 --0.964576462E+00-0.967133088E+00-0.969709565E+00-0.972305852E+00-0.974921950E+00 --0.977557858E+00-0.980213576E+00-0.982889105E+00-0.985584445E+00-0.988299594E+00 --0.991034554E+00-0.993789352E+00-0.996565483E+00-0.999363797E+00-0.100218430E+01 --0.100502698E+01-0.100789185E+01-0.101077890E+01-0.101369009E+01-0.101662505E+01 --0.886067895E+00-0.885881022E+00-0.885668879E+00-0.885431464E+00-0.885168778E+00 --0.884880822E+00-0.884567594E+00-0.884229095E+00-0.883865325E+00-0.883476284E+00 --0.883073954E+00-0.882642990E+00-0.882188193E+00-0.881711595E+00-0.881213944E+00 --0.880696832E+00-0.880160160E+00-0.879602968E+00-0.879027187E+00-0.878432927E+00 --0.877819273E+00-0.877188027E+00-0.876539189E+00-0.875873581E+00-0.875192407E+00 --0.874494131E+00-0.873779698E+00-0.873050019E+00-0.872305093E+00-0.871545625E+00 --0.870771149E+00-0.869981451E+00-0.869178172E+00-0.868362103E+00-0.867533245E+00 --0.866691598E+00-0.865837161E+00-0.864969751E+00-0.864091347E+00-0.863201225E+00 --0.862299342E+00-0.861385742E+00-0.860460517E+00-0.859525681E+00-0.858580763E+00 --0.857625323E+00-0.856660751E+00-0.855687076E+00-0.854704848E+00-0.853712951E+00 --0.852712564E+00-0.851703854E+00-0.850686821E+00-0.849663349E+00-0.848631846E+00 --0.847593050E+00-0.846546970E+00-0.845494203E+00-0.844435969E+00-0.843372293E+00 --0.842302542E+00-0.841228121E+00-0.840147787E+00-0.839063053E+00-0.837973920E+00 --0.836880388E+00-0.835782677E+00-0.834682146E+00-0.833578936E+00-0.832472973E+00 --0.831364325E+00-0.830253614E+00-0.829140841E+00-0.828025949E+00-0.826910757E+00 --0.825795418E+00-0.824679650E+00-0.823562977E+00-0.822445625E+00-0.821330116E+00 --0.820215514E+00-0.819102245E+00-0.817990406E+00-0.816880015E+00-0.815772313E+00 --0.814667507E+00-0.813565596E+00-0.812467206E+00-0.811372963E+00-0.810282827E+00 --0.809196540E+00-0.808115944E+00-0.807041167E+00-0.805972208E+00-0.804909143E+00 --0.803852637E+00-0.802803512E+00-0.801761813E+00-0.800727540E+00-0.799700694E+00 --0.798681340E+00-0.797671543E+00-0.796672184E+00-0.795683261E+00-0.794704775E+00 --0.793736726E+00-0.792778138E+00-0.791833175E+00-0.790902159E+00-0.789985091E+00 --0.789081970E+00-0.788192797E+00-0.787317876E+00-0.786460463E+00-0.785620949E+00 --0.784799236E+00-0.783994858E+00-0.783208663E+00-0.782442968E+00-0.781697878E+00 --0.780972441E+00-0.780267653E+00-0.779586733E+00-0.778929638E+00-0.778296351E+00 --0.777686871E+00-0.777101198E+00-0.776539333E+00-0.776001275E+00-0.775491336E+00 --0.775008499E+00-0.774552737E+00-0.774124050E+00-0.773723324E+00-0.773351154E+00 --0.773007410E+00-0.772692366E+00-0.772407413E+00-0.772153263E+00-0.771930460E+00 --0.771738296E+00-0.771576509E+00-0.771445097E+00-0.771344583E+00-0.771276047E+00 --0.771239518E+00-0.771234996E+00-0.771262482E+00-0.771322346E+00-0.771414974E+00 --0.771540095E+00-0.771697702E+00-0.771888010E+00-0.772111613E+00-0.772368107E+00 --0.772656550E+00-0.772976747E+00-0.773329118E+00-0.773713932E+00-0.774131187E+00 --0.774580809E+00-0.775061402E+00-0.775573056E+00-0.776114855E+00-0.776686779E+00 --0.777289190E+00-0.777922211E+00-0.778585842E+00-0.779277637E+00-0.779997396E+00 --0.780744918E+00-0.781520031E+00-0.782322590E+00-0.783149650E+00-0.784001703E+00 --0.784878963E+00-0.785781484E+00-0.786706737E+00-0.787653049E+00-0.788620472E+00 --0.789608826E+00-0.790618111E+00-0.791647904E+00-0.792694692E+00-0.793758709E+00 --0.794839180E+00-0.795935207E+00-0.797046790E+00-0.798173890E+00-0.799315513E+00 --0.800472277E+00-0.801644081E+00-0.802830040E+00-0.804029996E+00-0.805244419E+00 --0.806473514E+00-0.807717122E+00-0.808974466E+00-0.810245442E+00-0.811530313E+00 --0.812829409E+00-0.814142593E+00-0.815469123E+00-0.816809468E+00-0.818163647E+00 --0.819531527E+00-0.820913125E+00-0.822308348E+00-0.823717051E+00-0.825139205E+00 --0.826574808E+00-0.828023813E+00-0.829486286E+00-0.830962677E+00-0.832452598E+00 --0.833955752E+00-0.835472187E+00-0.837002283E+00-0.838546067E+00-0.840103531E+00 --0.841674286E+00-0.843258456E+00-0.844856413E+00-0.846468158E+00-0.848093704E+00 --0.849732861E+00-0.851385479E+00-0.853051829E+00-0.854732218E+00-0.856426647E+00 --0.858135116E+00-0.859857540E+00-0.861593666E+00-0.863343897E+00-0.865108411E+00 --0.866887208E+00-0.868680289E+00-0.870487737E+00-0.872309541E+00-0.874146012E+00 --0.875997067E+00-0.877862707E+00-0.879742993E+00-0.881638528E+00-0.883548563E+00 --0.885473841E+00-0.887414095E+00-0.889369661E+00-0.891340529E+00-0.893326648E+00 --0.895328434E+00-0.897345754E+00-0.899378860E+00-0.901427957E+00-0.903493044E+00 --0.905574118E+00-0.907670912E+00-0.909783760E+00-0.911913332E+00-0.914059564E+00 --0.916222488E+00-0.918402152E+00-0.920598554E+00-0.922811697E+00-0.925041646E+00 --0.927289126E+00-0.929554285E+00-0.931836817E+00-0.934136596E+00-0.936453992E+00 --0.938789565E+00-0.941143318E+00-0.943515239E+00-0.945905378E+00-0.948313777E+00 --0.950740414E+00-0.953185707E+00-0.955649978E+00-0.958133291E+00-0.960636047E+00 --0.963156713E+00-0.965696949E+00-0.968257659E+00-0.970839254E+00-0.973441193E+00 --0.976062944E+00-0.978704504E+00-0.981365875E+00-0.984047057E+00-0.986748048E+00 --0.989468850E+00-0.992209650E+00-0.994972372E+00-0.997757278E+00-0.100056437E+01 --0.100339364E+01-0.100624510E+01-0.100911875E+01-0.101201457E+01-0.101493463E+01 --0.888857411E+00-0.888665421E+00-0.888448161E+00-0.888205630E+00-0.887937827E+00 --0.887644754E+00-0.887326409E+00-0.886982794E+00-0.886607641E+00-0.886203387E+00 --0.885770461E+00-0.885323560E+00-0.884854800E+00-0.884364617E+00-0.883852818E+00 --0.883320748E+00-0.882769484E+00-0.882199027E+00-0.881609502E+00-0.881000271E+00 --0.880373449E+00-0.879729034E+00-0.879067027E+00-0.878387427E+00-0.877690780E+00 --0.876978130E+00-0.876250234E+00-0.875507091E+00-0.874748702E+00-0.873975067E+00 --0.873187613E+00-0.872385497E+00-0.871570170E+00-0.870742048E+00-0.869900808E+00 --0.869046415E+00-0.868178868E+00-0.867299358E+00-0.866408851E+00-0.865507645E+00 --0.864594752E+00-0.863670143E+00-0.862734377E+00-0.861788515E+00-0.860832572E+00 --0.859867645E+00-0.858893582E+00-0.857909549E+00-0.856917012E+00-0.855915990E+00 --0.854906728E+00-0.853889078E+00-0.852863446E+00-0.851830676E+00-0.850790795E+00 --0.849744248E+00-0.848690401E+00-0.847630269E+00-0.846564707E+00-0.845493743E+00 --0.844416943E+00-0.843334631E+00-0.842248222E+00-0.841157718E+00-0.840063117E+00 --0.838964420E+00-0.837861960E+00-0.836755266E+00-0.835646774E+00-0.834536315E+00 --0.833423795E+00-0.832309211E+00-0.831192565E+00-0.830073857E+00-0.828954828E+00 --0.827835958E+00-0.826717155E+00-0.825598345E+00-0.824479220E+00-0.823360646E+00 --0.822244465E+00-0.821129954E+00-0.820016874E+00-0.818905225E+00-0.817797838E+00 --0.816693228E+00-0.815590808E+00-0.814492495E+00-0.813398291E+00-0.812308193E+00 --0.811223429E+00-0.810144728E+00-0.809071521E+00-0.808004017E+00-0.806942378E+00 --0.805886857E+00-0.804839430E+00-0.803800394E+00-0.802769577E+00-0.801746249E+00 --0.800730694E+00-0.799725193E+00-0.798730112E+00-0.797745005E+00-0.796769695E+00 --0.795804859E+00-0.794852616E+00-0.793910334E+00-0.792981586E+00-0.792066803E+00 --0.791165794E+00-0.790278695E+00-0.789405563E+00-0.788548843E+00-0.787709903E+00 --0.786888244E+00-0.786083862E+00-0.785297003E+00-0.784530131E+00-0.783783306E+00 --0.783056851E+00-0.782351527E+00-0.781667335E+00-0.781004596E+00-0.780365445E+00 --0.779750101E+00-0.779158565E+00-0.778590836E+00-0.778048804E+00-0.777532583E+00 --0.777042150E+00-0.776577507E+00-0.776139096E+00-0.775729225E+00-0.775347938E+00 --0.774995078E+00-0.774670644E+00-0.774374620E+00-0.774107694E+00-0.773871040E+00 --0.773664762E+00-0.773488860E+00-0.773343335E+00-0.773228287E+00-0.773144984E+00 --0.773093689E+00-0.773074401E+00-0.773086036E+00-0.773128545E+00-0.773203336E+00 --0.773310313E+00-0.773449476E+00-0.773620457E+00-0.773823881E+00-0.774058752E+00 --0.774325439E+00-0.774623943E+00-0.774954216E+00-0.775316661E+00-0.775711503E+00 --0.776137255E+00-0.776593224E+00-0.777079408E+00-0.777596090E+00-0.778143046E+00 --0.778720147E+00-0.779327083E+00-0.779962788E+00-0.780626057E+00-0.781316623E+00 --0.782034881E+00-0.782780857E+00-0.783553046E+00-0.784349654E+00-0.785170683E+00 --0.786016631E+00-0.786887599E+00-0.787780534E+00-0.788694372E+00-0.789629111E+00 --0.790584709E+00-0.791561220E+00-0.792556794E+00-0.793569252E+00-0.794598665E+00 --0.795645005E+00-0.796706946E+00-0.797784509E+00-0.798877720E+00-0.799986072E+00 --0.801109565E+00-0.802248198E+00-0.803401627E+00-0.804569697E+00-0.805752439E+00 --0.806949852E+00-0.808161937E+00-0.809388064E+00-0.810628514E+00-0.811883227E+00 --0.813152167E+00-0.814435333E+00-0.815732570E+00-0.817043609E+00-0.818368692E+00 --0.819707818E+00-0.821060989E+00-0.822427483E+00-0.823807689E+00-0.825201943E+00 --0.826609693E+00-0.828031136E+00-0.829466487E+00-0.830915745E+00-0.832378900E+00 --0.833855333E+00-0.835345616E+00-0.836849706E+00-0.838367484E+00-0.839899054E+00 --0.841444286E+00-0.843003320E+00-0.844576226E+00-0.846162917E+00-0.847763392E+00 --0.849377671E+00-0.851005910E+00-0.852648213E+00-0.854304582E+00-0.855975015E+00 --0.857659513E+00-0.859358075E+00-0.861070782E+00-0.862797991E+00-0.864539520E+00 --0.866295315E+00-0.868065416E+00-0.869850305E+00-0.871649872E+00-0.873464036E+00 --0.875292785E+00-0.877136203E+00-0.878994926E+00-0.880868602E+00-0.882757099E+00 --0.884660903E+00-0.886580014E+00-0.888514558E+00-0.890464386E+00-0.892429853E+00 --0.894410990E+00-0.896407795E+00-0.898420659E+00-0.900449639E+00-0.902494632E+00 --0.904555725E+00-0.906632904E+00-0.908726620E+00-0.910836461E+00-0.912963321E+00 --0.915107345E+00-0.917268207E+00-0.919445808E+00-0.921640149E+00-0.923851503E+00 --0.926080701E+00-0.928327588E+00-0.930592163E+00-0.932874442E+00-0.935174615E+00 --0.937492788E+00-0.939828962E+00-0.942183143E+00-0.944556000E+00-0.946947623E+00 --0.949357845E+00-0.951787038E+00-0.954235046E+00-0.956702015E+00-0.959187612E+00 --0.961691683E+00-0.964216228E+00-0.966761248E+00-0.969326742E+00-0.971912711E+00 --0.974519222E+00-0.977146625E+00-0.979793838E+00-0.982460861E+00-0.985147695E+00 --0.987854100E+00-0.990581230E+00-0.993330544E+00-0.996102042E+00-0.998895724E+00 --0.100171159E+01-0.100454963E+01-0.100740943E+01-0.101029076E+01-0.101319882E+01 --0.891732344E+00-0.891535238E+00-0.891313651E+00-0.891065565E+00-0.890788807E+00 --0.890483375E+00-0.890149271E+00-0.889786493E+00-0.889395043E+00-0.888974919E+00 --0.888526123E+00-0.888061874E+00-0.887579834E+00-0.887076281E+00-0.886550336E+00 --0.886003307E+00-0.885436998E+00-0.884850078E+00-0.884244202E+00-0.883620160E+00 --0.882976689E+00-0.882315625E+00-0.881636970E+00-0.880941602E+00-0.880231378E+00 --0.879503462E+00-0.878760091E+00-0.878001718E+00-0.877228342E+00-0.876439963E+00 --0.875638805E+00-0.874822515E+00-0.873993187E+00-0.873151279E+00-0.872296228E+00 --0.871428024E+00-0.870547212E+00-0.869655096E+00-0.868751718E+00-0.867837077E+00 --0.866911449E+00-0.865975102E+00-0.865028296E+00-0.864071408E+00-0.863104439E+00 --0.862127988E+00-0.861142126E+00-0.860147760E+00-0.859144891E+00-0.858133519E+00 --0.857113460E+00-0.856085620E+00-0.855050643E+00-0.854008528E+00-0.852959277E+00 --0.851903094E+00-0.850841490E+00-0.849773424E+00-0.848699539E+00-0.847620004E+00 --0.846534868E+00-0.845445243E+00-0.844351522E+00-0.843253718E+00-0.842152061E+00 --0.841046602E+00-0.839937342E+00-0.838824791E+00-0.837710558E+00-0.836594422E+00 --0.835476330E+00-0.834356347E+00-0.833234472E+00-0.832111043E+00-0.830988194E+00 --0.829865620E+00-0.828742979E+00-0.827620173E+00-0.826497202E+00-0.825375089E+00 --0.824255288E+00-0.823137805E+00-0.822022639E+00-0.820909791E+00-0.819800090E+00 --0.818693451E+00-0.817590789E+00-0.816492103E+00-0.815397393E+00-0.814306660E+00 --0.813221989E+00-0.812142706E+00-0.811069945E+00-0.810003049E+00-0.808942018E+00 --0.807887543E+00-0.806841380E+00-0.805803607E+00-0.804774226E+00-0.803753216E+00 --0.802740733E+00-0.801738264E+00-0.800745592E+00-0.799762719E+00-0.798789643E+00 --0.797827536E+00-0.796877586E+00-0.795939760E+00-0.795013705E+00-0.794101439E+00 --0.793203138E+00-0.792318802E+00-0.791448635E+00-0.790592939E+00-0.789754161E+00 --0.788932666E+00-0.788128282E+00-0.787341174E+00-0.786571536E+00-0.785822092E+00 --0.785093780E+00-0.784386599E+00-0.783700550E+00-0.783035632E+00-0.782391845E+00 --0.781769619E+00-0.781172219E+00-0.780598412E+00-0.780050520E+00-0.779528239E+00 --0.779031240E+00-0.778559522E+00-0.778113203E+00-0.777693563E+00-0.777302465E+00 --0.776939765E+00-0.776605191E+00-0.776298100E+00-0.776018915E+00-0.775769695E+00 --0.775550279E+00-0.775360434E+00-0.775200795E+00-0.775071447E+00-0.774973377E+00 --0.774906562E+00-0.774870467E+00-0.774865209E+00-0.774890755E+00-0.774947993E+00 --0.775037266E+00-0.775157648E+00-0.775309060E+00-0.775492340E+00-0.775706942E+00 --0.775952850E+00-0.776230062E+00-0.776538579E+00-0.776878712E+00-0.777249774E+00 --0.777651061E+00-0.778082566E+00-0.778544288E+00-0.779036226E+00-0.779557872E+00 --0.780108189E+00-0.780687317E+00-0.781295254E+00-0.781930866E+00-0.782593460E+00 --0.783283035E+00-0.783999496E+00-0.784741103E+00-0.785507068E+00-0.786297545E+00 --0.787112441E+00-0.787951717E+00-0.788812336E+00-0.789693857E+00-0.790596279E+00 --0.791519602E+00-0.792462982E+00-0.793424167E+00-0.794402408E+00-0.795397625E+00 --0.796409821E+00-0.797438993E+00-0.798483551E+00-0.799543480E+00-0.800618814E+00 --0.801709473E+00-0.802815075E+00-0.803936544E+00-0.805073297E+00-0.806224667E+00 --0.807390654E+00-0.808571257E+00-0.809766518E+00-0.810976837E+00-0.812201537E+00 --0.813440619E+00-0.814694081E+00-0.815961218E+00-0.817242940E+00-0.818539339E+00 --0.819849824E+00-0.821174353E+00-0.822512960E+00-0.823865429E+00-0.825231712E+00 --0.826612111E+00-0.828006525E+00-0.829414842E+00-0.830837062E+00-0.832273185E+00 --0.833723064E+00-0.835186922E+00-0.836664902E+00-0.838156747E+00-0.839662458E+00 --0.841181985E+00-0.842715596E+00-0.844263409E+00-0.845825138E+00-0.847400651E+00 --0.848990066E+00-0.850593779E+00-0.852211812E+00-0.853844146E+00-0.855490583E+00 --0.857151085E+00-0.858825739E+00-0.860514980E+00-0.862218729E+00-0.863936986E+00 --0.865669721E+00-0.867417039E+00-0.869179045E+00-0.870955856E+00-0.872747714E+00 --0.874554137E+00-0.876375465E+00-0.878211946E+00-0.880063597E+00-0.881930556E+00 --0.883812822E+00-0.885710454E+00-0.887623775E+00-0.889552580E+00-0.891497034E+00 --0.893457317E+00-0.895433447E+00-0.897425773E+00-0.899434380E+00-0.901459107E+00 --0.903499917E+00-0.905556855E+00-0.907630584E+00-0.909721284E+00-0.911828740E+00 --0.913953162E+00-0.916094605E+00-0.918253067E+00-0.920428550E+00-0.922621690E+00 --0.924832458E+00-0.927060814E+00-0.929306758E+00-0.931570531E+00-0.933852801E+00 --0.936153201E+00-0.938471600E+00-0.940808226E+00-0.943163618E+00-0.945537854E+00 --0.947931114E+00-0.950343335E+00-0.952774517E+00-0.955224660E+00-0.957692993E+00 --0.960181373E+00-0.962690227E+00-0.965219556E+00-0.967769359E+00-0.970339637E+00 --0.972930389E+00-0.975541616E+00-0.978173318E+00-0.980825859E+00-0.983498535E+00 --0.986190370E+00-0.988904091E+00-0.991640358E+00-0.994398579E+00-0.997178320E+00 --0.999979580E+00-0.100280236E+01-0.100564666E+01-0.100851248E+01-0.101141021E+01 --0.894708013E+00-0.894501404E+00-0.894266121E+00-0.894002166E+00-0.893709537E+00 --0.893388236E+00-0.893038261E+00-0.892659614E+00-0.892252294E+00-0.891816300E+00 --0.891351634E+00-0.890870036E+00-0.890370173E+00-0.889849191E+00-0.889306574E+00 --0.888743129E+00-0.888158626E+00-0.887553065E+00-0.886928726E+00-0.886286253E+00 --0.885625880E+00-0.884947950E+00-0.884252247E+00-0.883539313E+00-0.882810972E+00 --0.882067225E+00-0.881308077E+00-0.880533907E+00-0.879744509E+00-0.878940741E+00 --0.878122780E+00-0.877290778E+00-0.876445989E+00-0.875588691E+00-0.874719039E+00 --0.873836767E+00-0.872942569E+00-0.872036865E+00-0.871119650E+00-0.870190927E+00 --0.869251509E+00-0.868302408E+00-0.867342978E+00-0.866373412E+00-0.865393749E+00 --0.864404471E+00-0.863406573E+00-0.862400073E+00-0.861385381E+00-0.860362921E+00 --0.859332532E+00-0.858293889E+00-0.857248031E+00-0.856195293E+00-0.855135673E+00 --0.854070133E+00-0.852998310E+00-0.851920344E+00-0.850837093E+00-0.849748558E+00 --0.848654705E+00-0.847556311E+00-0.846454443E+00-0.845348775E+00-0.844239305E+00 --0.843126034E+00-0.842008961E+00-0.840889069E+00-0.839767649E+00-0.838644606E+00 --0.837519940E+00-0.836393968E+00-0.835266120E+00-0.834137296E+00-0.833008771E+00 --0.831880545E+00-0.830752618E+00-0.829625363E+00-0.828498397E+00-0.827372613E+00 --0.826249267E+00-0.825128231E+00-0.824009385E+00-0.822893724E+00-0.821781248E+00 --0.820672120E+00-0.819566969E+00-0.818465794E+00-0.817368595E+00-0.816277135E+00 --0.815191419E+00-0.814110263E+00-0.813035859E+00-0.811968207E+00-0.810907309E+00 --0.809854182E+00-0.808808698E+00-0.807771377E+00-0.806742220E+00-0.805721226E+00 --0.804708844E+00-0.803706959E+00-0.802715808E+00-0.801735168E+00-0.800764226E+00 --0.799804445E+00-0.798856787E+00-0.797921254E+00-0.796997844E+00-0.796087993E+00 --0.795191745E+00-0.794309192E+00-0.793440848E+00-0.792586715E+00-0.791748210E+00 --0.790927001E+00-0.790123038E+00-0.789336135E+00-0.788565923E+00-0.787813837E+00 --0.787082909E+00-0.786373139E+00-0.785684527E+00-0.785017073E+00-0.784370590E+00 --0.783744206E+00-0.783141236E+00-0.782561444E+00-0.782006112E+00-0.781476061E+00 --0.780971339E+00-0.780492140E+00-0.780038259E+00-0.779609546E+00-0.779208605E+00 --0.778835960E+00-0.778490815E+00-0.778173170E+00-0.777883025E+00-0.777621259E+00 --0.777389628E+00-0.777187779E+00-0.777015333E+00-0.776872151E+00-0.776758127E+00 --0.776674786E+00-0.776622249E+00-0.776600517E+00-0.776609230E+00-0.776648585E+00 --0.776718899E+00-0.776820171E+00-0.776952416E+00-0.777115897E+00-0.777310356E+00 --0.777535593E+00-0.777791607E+00-0.778078398E+00-0.778395969E+00-0.778743028E+00 --0.779119661E+00-0.779526567E+00-0.779963691E+00-0.780430943E+00-0.780926596E+00 --0.781449982E+00-0.782001372E+00-0.782581536E+00-0.783189493E+00-0.783824449E+00 --0.784485618E+00-0.785172346E+00-0.785884167E+00-0.786620318E+00-0.787380791E+00 --0.788165535E+00-0.788971866E+00-0.789799688E+00-0.790648885E+00-0.791519049E+00 --0.792410165E+00-0.793320078E+00-0.794247337E+00-0.795191942E+00-0.796153668E+00 --0.797132327E+00-0.798127963E+00-0.799139782E+00-0.800166890E+00-0.801209428E+00 --0.802267717E+00-0.803341858E+00-0.804431849E+00-0.805537439E+00-0.806657641E+00 --0.807792493E+00-0.808942547E+00-0.810107723E+00-0.811288023E+00-0.812482965E+00 --0.813692280E+00-0.814916042E+00-0.816154457E+00-0.817407533E+00-0.818675267E+00 --0.819957352E+00-0.821253239E+00-0.822563682E+00-0.823888415E+00-0.825227061E+00 --0.826580234E+00-0.827947800E+00-0.829329291E+00-0.830724685E+00-0.832133985E+00 --0.833557384E+00-0.834994997E+00-0.836446825E+00-0.837912867E+00-0.839392827E+00 --0.840886784E+00-0.842395013E+00-0.843917452E+00-0.845454100E+00-0.847004721E+00 --0.848569664E+00-0.850148927E+00-0.851742511E+00-0.853350417E+00-0.854972647E+00 --0.856609217E+00-0.858260377E+00-0.859926084E+00-0.861606297E+00-0.863301011E+00 --0.865010348E+00-0.866734611E+00-0.868473797E+00-0.870227759E+00-0.871996794E+00 --0.873780727E+00-0.875579813E+00-0.877394053E+00-0.879223514E+00-0.881068935E+00 --0.882929256E+00-0.884805187E+00-0.886696855E+00-0.888604325E+00-0.890527717E+00 --0.892466618E+00-0.894421799E+00-0.896393276E+00-0.898381051E+00-0.900385121E+00 --0.902405608E+00-0.904442346E+00-0.906496005E+00-0.908566634E+00-0.910654234E+00 --0.912759022E+00-0.914881007E+00-0.917020013E+00-0.919176465E+00-0.921350604E+00 --0.923542504E+00-0.925752069E+00-0.927979207E+00-0.930224467E+00-0.932488258E+00 --0.934770581E+00-0.937071218E+00-0.939390391E+00-0.941728176E+00-0.944085067E+00 --0.946460665E+00-0.948855190E+00-0.951268856E+00-0.953701344E+00-0.956153172E+00 --0.958625448E+00-0.961118173E+00-0.963631346E+00-0.966164968E+00-0.968719038E+00 --0.971293556E+00-0.973888523E+00-0.976503938E+00-0.979141754E+00-0.981801786E+00 --0.984479946E+00-0.987179627E+00-0.989900827E+00-0.992643548E+00-0.995407788E+00 --0.998193548E+00-0.100100083E+01-0.100382963E+01-0.100668401E+01-0.100956512E+01 --0.897797210E+00-0.897566535E+00-0.897308268E+00-0.897022410E+00-0.896708959E+00 --0.896367916E+00-0.895999282E+00-0.895603056E+00-0.895179238E+00-0.894727529E+00 --0.894246992E+00-0.893747437E+00-0.893227142E+00-0.892684415E+00-0.892119665E+00 --0.891535324E+00-0.890931888E+00-0.890307438E+00-0.889663491E+00-0.889001360E+00 --0.888321045E+00-0.887626074E+00-0.886910837E+00-0.886179787E+00-0.885433329E+00 --0.884671427E+00-0.883893700E+00-0.883100440E+00-0.882294013E+00-0.881473417E+00 --0.880638628E+00-0.879789847E+00-0.878929597E+00-0.878056283E+00-0.877170322E+00 --0.876271770E+00-0.875361740E+00-0.874440889E+00-0.873509145E+00-0.872565994E+00 --0.871612370E+00-0.870648771E+00-0.869675198E+00-0.868692375E+00-0.867699841E+00 --0.866698321E+00-0.865687286E+00-0.864668006E+00-0.863640797E+00-0.862605659E+00 --0.861562591E+00-0.860511627E+00-0.859454760E+00-0.858390847E+00-0.857320181E+00 --0.856243349E+00-0.855160352E+00-0.854072000E+00-0.852978403E+00-0.851879449E+00 --0.850776231E+00-0.849668859E+00-0.848556898E+00-0.847441559E+00-0.846322844E+00 --0.845200752E+00-0.844076414E+00-0.842949159E+00-0.841820093E+00-0.840689285E+00 --0.839556742E+00-0.838422464E+00-0.837288485E+00-0.836152492E+00-0.835017277E+00 --0.833882839E+00-0.832749179E+00-0.831616279E+00-0.830483275E+00-0.829352735E+00 --0.828223491E+00-0.827097432E+00-0.825974558E+00-0.824854868E+00-0.823738363E+00 --0.822625043E+00-0.821515791E+00-0.820412126E+00-0.819312579E+00-0.818218231E+00 --0.817129277E+00-0.816046379E+00-0.814970294E+00-0.813900964E+00-0.812838947E+00 --0.811784342E+00-0.810736981E+00-0.809698843E+00-0.808669650E+00-0.807648650E+00 --0.806636286E+00-0.805634612E+00-0.804643642E+00-0.803663342E+00-0.802693806E+00 --0.801735573E+00-0.800789326E+00-0.799855066E+00-0.798932793E+00-0.798023146E+00 --0.797127826E+00-0.796246917E+00-0.795380420E+00-0.794528262E+00-0.793690329E+00 --0.792868747E+00-0.792064311E+00-0.791277050E+00-0.790506963E+00-0.789753745E+00 --0.789019964E+00-0.788307377E+00-0.787615740E+00-0.786944488E+00-0.786293621E+00 --0.785663926E+00-0.785057085E+00-0.784473144E+00-0.783912104E+00-0.783374630E+00 --0.782862512E+00-0.782375627E+00-0.781914011E+00-0.781477679E+00-0.781066867E+00 --0.780683500E+00-0.780327590E+00-0.779999139E+00-0.779698144E+00-0.779425985E+00 --0.779181271E+00-0.778965091E+00-0.778778003E+00-0.778620232E+00-0.778491725E+00 --0.778392812E+00-0.778324671E+00-0.778286859E+00-0.778278421E+00-0.778299632E+00 --0.778351685E+00-0.778434696E+00-0.778548904E+00-0.778692571E+00-0.778865558E+00 --0.779068637E+00-0.779302493E+00-0.779567126E+00-0.779862363E+00-0.780186823E+00 --0.780540229E+00-0.780922630E+00-0.781335155E+00-0.781776971E+00-0.782246542E+00 --0.782743847E+00-0.783268884E+00-0.783821639E+00-0.784401823E+00-0.785007784E+00 --0.785639303E+00-0.786296383E+00-0.786978544E+00-0.787684915E+00-0.788415626E+00 --0.789169278E+00-0.789944171E+00-0.790740303E+00-0.791557674E+00-0.792395652E+00 --0.793254580E+00-0.794131333E+00-0.795025431E+00-0.795936875E+00-0.796865664E+00 --0.797811798E+00-0.798774611E+00-0.799753418E+00-0.800748265E+00-0.801759242E+00 --0.802786070E+00-0.803828748E+00-0.804887278E+00-0.805961658E+00-0.807051159E+00 --0.808156113E+00-0.809276191E+00-0.810411393E+00-0.811561718E+00-0.812727167E+00 --0.813907069E+00-0.815102178E+00-0.816311946E+00-0.817536375E+00-0.818775463E+00 --0.820029210E+00-0.821297617E+00-0.822579651E+00-0.823876470E+00-0.825187774E+00 --0.826513651E+00-0.827854100E+00-0.829208765E+00-0.830577333E+00-0.831960301E+00 --0.833357558E+00-0.834769029E+00-0.836194715E+00-0.837634813E+00-0.839089447E+00 --0.840558229E+00-0.842041104E+00-0.843538189E+00-0.845049570E+00-0.846575491E+00 --0.848115608E+00-0.849670343E+00-0.851239479E+00-0.852822951E+00-0.854420817E+00 --0.856033369E+00-0.857660642E+00-0.859302647E+00-0.860959215E+00-0.862630433E+00 --0.864316572E+00-0.866017635E+00-0.867733740E+00-0.869464856E+00-0.871210870E+00 --0.872972186E+00-0.874748833E+00-0.876540810E+00-0.878348254E+00-0.880171032E+00 --0.882009529E+00-0.883863737E+00-0.885733656E+00-0.887619279E+00-0.889520939E+00 --0.891438831E+00-0.893373001E+00-0.895323451E+00-0.897290178E+00-0.899273185E+00 --0.901272751E+00-0.903289391E+00-0.905322796E+00-0.907373258E+00-0.909440775E+00 --0.911525348E+00-0.913627058E+00-0.915746394E+00-0.917883417E+00-0.920038127E+00 --0.922210524E+00-0.924401136E+00-0.926609475E+00-0.928836256E+00-0.931081516E+00 --0.933345054E+00-0.935627367E+00-0.937928390E+00-0.940247991E+00-0.942586757E+00 --0.944944775E+00-0.947321954E+00-0.949718274E+00-0.952132829E+00-0.954567648E+00 --0.957022915E+00-0.959498631E+00-0.961994795E+00-0.964511407E+00-0.967048468E+00 --0.969607977E+00-0.972188342E+00-0.974789479E+00-0.977411389E+00-0.980054072E+00 --0.982717156E+00-0.985401336E+00-0.988107036E+00-0.990834255E+00-0.993582995E+00 --0.996353254E+00-0.999145034E+00-0.100195881E+01-0.100479923E+01-0.100766355E+01 --0.900918008E+00-0.900687549E+00-0.900427162E+00-0.900127837E+00-0.899792582E+00 --0.899429735E+00-0.899039296E+00-0.898621265E+00-0.898175643E+00-0.897702428E+00 --0.897201622E+00-0.896682737E+00-0.896142514E+00-0.895578128E+00-0.894991424E+00 --0.894384703E+00-0.893758997E+00-0.893113915E+00-0.892449003E+00-0.891765908E+00 --0.891064630E+00-0.890347398E+00-0.889611700E+00-0.888861464E+00-0.888095377E+00 --0.887313441E+00-0.886515655E+00-0.885702963E+00-0.884877090E+00-0.884037810E+00 --0.883185125E+00-0.882319779E+00-0.881441037E+00-0.880550509E+00-0.879647586E+00 --0.878732349E+00-0.877806199E+00-0.876869386E+00-0.875922057E+00-0.874963371E+00 --0.873993996E+00-0.873015057E+00-0.872026554E+00-0.871028487E+00-0.870021188E+00 --0.869004903E+00-0.867980641E+00-0.866948402E+00-0.865908186E+00-0.864859994E+00 --0.863803825E+00-0.862739678E+00-0.861669632E+00-0.860592929E+00-0.859510443E+00 --0.858422001E+00-0.857327393E+00-0.856227594E+00-0.855122255E+00-0.854012616E+00 --0.852898860E+00-0.851780966E+00-0.850658766E+00-0.849533339E+00-0.848404952E+00 --0.847273485E+00-0.846138938E+00-0.845001464E+00-0.843862759E+00-0.842723254E+00 --0.841582354E+00-0.840439958E+00-0.839297434E+00-0.838154558E+00-0.837011729E+00 --0.835869677E+00-0.834728403E+00-0.833587906E+00-0.832449461E+00-0.831312300E+00 --0.830176879E+00-0.829045032E+00-0.827916758E+00-0.826792056E+00-0.825670928E+00 --0.824553373E+00-0.823439391E+00-0.822330402E+00-0.821226990E+00-0.820129206E+00 --0.819036816E+00-0.817950864E+00-0.816872656E+00-0.815800086E+00-0.814735255E+00 --0.813678163E+00-0.812628798E+00-0.811588483E+00-0.810557392E+00-0.809535524E+00 --0.808522983E+00-0.807520869E+00-0.806528906E+00-0.805547178E+00-0.804576319E+00 --0.803617895E+00-0.802671897E+00-0.801737920E+00-0.800815559E+00-0.799906620E+00 --0.799012092E+00-0.798132002E+00-0.797266138E+00-0.796414472E+00-0.795577004E+00 --0.794755057E+00-0.793950314E+00-0.793162781E+00-0.792392458E+00-0.791639460E+00 --0.790903953E+00-0.790188385E+00-0.789493170E+00-0.788818307E+00-0.788163668E+00 --0.787529677E+00-0.786917954E+00-0.786328769E+00-0.785762195E+00-0.785219289E+00 --0.784699657E+00-0.784204565E+00-0.783734741E+00-0.783289876E+00-0.782870895E+00 --0.782477939E+00-0.782111110E+00-0.781771606E+00-0.781459777E+00-0.781175390E+00 --0.780918177E+00-0.780688693E+00-0.780488109E+00-0.780316451E+00-0.780173719E+00 --0.780059923E+00-0.779975695E+00-0.779920834E+00-0.779895322E+00-0.779899159E+00 --0.779932979E+00-0.779997869E+00-0.780092080E+00-0.780215612E+00-0.780368466E+00 --0.780550641E+00-0.780762383E+00-0.781004859E+00-0.781277682E+00-0.781579541E+00 --0.781910348E+00-0.782270047E+00-0.782657685E+00-0.783073217E+00-0.783516558E+00 --0.783987624E+00-0.784486414E+00-0.785012893E+00-0.785565162E+00-0.786142133E+00 --0.786744015E+00-0.787371445E+00-0.788024233E+00-0.788700954E+00-0.789401928E+00 --0.790124141E+00-0.790867594E+00-0.791632317E+00-0.792418460E+00-0.793225727E+00 --0.794051319E+00-0.794895486E+00-0.795757024E+00-0.796635934E+00-0.797532216E+00 --0.798445869E+00-0.799376628E+00-0.800323890E+00-0.801287815E+00-0.802267661E+00 --0.803263427E+00-0.804275113E+00-0.805302720E+00-0.806345970E+00-0.807405401E+00 --0.808480784E+00-0.809571301E+00-0.810676932E+00-0.811797675E+00-0.812933586E+00 --0.814084949E+00-0.815250930E+00-0.816432451E+00-0.817628609E+00-0.818839404E+00 --0.820064836E+00-0.821305044E+00-0.822560182E+00-0.823829721E+00-0.825113829E+00 --0.826412418E+00-0.827725572E+00-0.829053264E+00-0.830395570E+00-0.831752471E+00 --0.833123244E+00-0.834508527E+00-0.835908330E+00-0.837322655E+00-0.838751499E+00 --0.840194806E+00-0.841652343E+00-0.843124197E+00-0.844610645E+00-0.846111672E+00 --0.847627145E+00-0.849157140E+00-0.850701752E+00-0.852260879E+00-0.853834613E+00 --0.855423128E+00-0.857026407E+00-0.858644411E+00-0.860277368E+00-0.861925111E+00 --0.863587846E+00-0.865265591E+00-0.866958346E+00-0.868666158E+00-0.870389344E+00 --0.872127859E+00-0.873881739E+00-0.875651115E+00-0.877435985E+00-0.879236301E+00 --0.881052632E+00-0.882884853E+00-0.884732785E+00-0.886596426E+00-0.888476293E+00 --0.890372647E+00-0.892285492E+00-0.894214637E+00-0.896160061E+00-0.898121777E+00 --0.900100492E+00-0.902096325E+00-0.904109235E+00-0.906139171E+00-0.908186162E+00 --0.910250652E+00-0.912332594E+00-0.914431710E+00-0.916548733E+00-0.918683663E+00 --0.920836501E+00-0.923007782E+00-0.925197192E+00-0.927404878E+00-0.929630835E+00 --0.931875176E+00-0.934138601E+00-0.936421218E+00-0.938722524E+00-0.941043039E+00 --0.943382817E+00-0.945742556E+00-0.948120755E+00-0.950518116E+00-0.952935926E+00 --0.955374184E+00-0.957833074E+00-0.960312963E+00-0.962813624E+00-0.965335058E+00 --0.967877265E+00-0.970440245E+00-0.973023997E+00-0.975628522E+00-0.978253820E+00 --0.980900104E+00-0.983568784E+00-0.986258983E+00-0.988970702E+00-0.991703941E+00 --0.994458700E+00-0.997234979E+00-0.100003434E+01-0.100285796E+01-0.100570550E+01 --0.904153992E+00-0.903895943E+00-0.903607967E+00-0.903290062E+00-0.902942229E+00 --0.902564468E+00-0.902153133E+00-0.901713298E+00-0.901245871E+00-0.900750852E+00 --0.900228241E+00-0.899682798E+00-0.899117161E+00-0.898530593E+00-0.897921935E+00 --0.897292515E+00-0.896642576E+00-0.895972150E+00-0.895283113E+00-0.894575893E+00 --0.893851145E+00-0.893111284E+00-0.892354259E+00-0.891580526E+00-0.890792414E+00 --0.889989921E+00-0.889172138E+00-0.888338558E+00-0.887493479E+00-0.886635000E+00 --0.885763061E+00-0.884877626E+00-0.883979656E+00-0.883070228E+00-0.882149341E+00 --0.881217826E+00-0.880274603E+00-0.879320606E+00-0.878355728E+00-0.877379973E+00 --0.876394160E+00-0.875398784E+00-0.874393843E+00-0.873380247E+00-0.872358516E+00 --0.871326854E+00-0.870287642E+00-0.869240876E+00-0.868186251E+00-0.867123648E+00 --0.866053069E+00-0.864975908E+00-0.863892419E+00-0.862802547E+00-0.861706661E+00 --0.860604986E+00-0.859498155E+00-0.858386400E+00-0.857268495E+00-0.856146874E+00 --0.855021462E+00-0.853891742E+00-0.852757715E+00-0.851620115E+00-0.850480423E+00 --0.849338611E+00-0.848193778E+00-0.847045940E+00-0.845897057E+00-0.844747385E+00 --0.843596924E+00-0.842445636E+00-0.841294029E+00-0.840142169E+00-0.838990666E+00 --0.837841001E+00-0.836692113E+00-0.835543687E+00-0.834397378E+00-0.833252888E+00 --0.832111083E+00-0.830972851E+00-0.829838020E+00-0.828706463E+00-0.827578180E+00 --0.826453429E+00-0.825334793E+00-0.824221450E+00-0.823112955E+00-0.822010033E+00 --0.820913349E+00-0.819823613E+00-0.818740366E+00-0.817664439E+00-0.816596112E+00 --0.815535384E+00-0.814483805E+00-0.813440640E+00-0.812406480E+00-0.811381327E+00 --0.810365885E+00-0.809361521E+00-0.808368010E+00-0.807384771E+00-0.806412572E+00 --0.805452855E+00-0.804505639E+00-0.803570744E+00-0.802646939E+00-0.801737886E+00 --0.800843169E+00-0.799962651E+00-0.799096331E+00-0.798244210E+00-0.797406286E+00 --0.796583830E+00-0.795778699E+00-0.794990565E+00-0.794219246E+00-0.793465049E+00 --0.792727952E+00-0.792009650E+00-0.791311701E+00-0.790633467E+00-0.789975677E+00 --0.789338373E+00-0.788721556E+00-0.788126056E+00-0.787553827E+00-0.787004890E+00 --0.786479217E+00-0.785976809E+00-0.785498598E+00-0.785045070E+00-0.784617567E+00 --0.784215834E+00-0.783839709E+00-0.783489413E+00-0.783165814E+00-0.782868692E+00 --0.782598905E+00-0.782356291E+00-0.782142213E+00-0.781957225E+00-0.781801008E+00 --0.781672658E+00-0.781572321E+00-0.781501122E+00-0.781459150E+00-0.781446357E+00 --0.781461543E+00-0.781506780E+00-0.781581246E+00-0.781684940E+00-0.781817862E+00 --0.781980014E+00-0.782171393E+00-0.782392001E+00-0.782642853E+00-0.782921872E+00 --0.783228639E+00-0.783563152E+00-0.783925412E+00-0.784315418E+00-0.784732834E+00 --0.785177597E+00-0.785650085E+00-0.786149908E+00-0.786674781E+00-0.787224356E+00 --0.787798635E+00-0.788397616E+00-0.789021443E+00-0.789668777E+00-0.790338133E+00 --0.791028923E+00-0.791741146E+00-0.792474804E+00-0.793229894E+00-0.794005758E+00 --0.794799497E+00-0.795611134E+00-0.796440670E+00-0.797287877E+00-0.798152352E+00 --0.799033923E+00-0.799932780E+00-0.800848925E+00-0.801782053E+00-0.802731177E+00 --0.803696222E+00-0.804677375E+00-0.805674763E+00-0.806688369E+00-0.807718194E+00 --0.808764167E+00-0.809825274E+00-0.810901495E+00-0.811993169E+00-0.813100539E+00 --0.814223582E+00-0.815361565E+00-0.816514487E+00-0.817682376E+00-0.818865160E+00 --0.820062939E+00-0.821275745E+00-0.822503582E+00-0.823746167E+00-0.825003321E+00 --0.826275042E+00-0.827561331E+00-0.828862680E+00-0.830178135E+00-0.831508557E+00 --0.832853508E+00-0.834212989E+00-0.835587003E+00-0.836975538E+00-0.838378594E+00 --0.839796348E+00-0.841228552E+00-0.842675365E+00-0.844136788E+00-0.845612848E+00 --0.847103655E+00-0.848609031E+00-0.850129151E+00-0.851663926E+00-0.853213417E+00 --0.854777690E+00-0.856356744E+00-0.857950837E+00-0.859559959E+00-0.861183924E+00 --0.862823076E+00-0.864477415E+00-0.866146829E+00-0.867831622E+00-0.869531615E+00 --0.871247110E+00-0.872978114E+00-0.874724625E+00-0.876486644E+00-0.878264441E+00 --0.880058252E+00-0.881868078E+00-0.883693918E+00-0.885535583E+00-0.887393536E+00 --0.889267976E+00-0.891158904E+00-0.893066321E+00-0.894990441E+00-0.896930986E+00 --0.898888593E+00-0.900863317E+00-0.902855159E+00-0.904864281E+00-0.906890666E+00 --0.908934469E+00-0.910995690E+00-0.913074697E+00-0.915171613E+00-0.917286436E+00 --0.919419630E+00-0.921570846E+00-0.923740513E+00-0.925928879E+00-0.928135524E+00 --0.930360842E+00-0.932605260E+00-0.934869101E+00-0.937151683E+00-0.939453913E+00 --0.941775440E+00-0.944116950E+00-0.946476854E+00-0.948856524E+00-0.951256710E+00 --0.953677668E+00-0.956119399E+00-0.958581903E+00-0.961065179E+00-0.963569229E+00 --0.966094051E+00-0.968639645E+00-0.971206013E+00-0.973793153E+00-0.976401066E+00 --0.979029752E+00-0.981681971E+00-0.984356670E+00-0.987052889E+00-0.989770627E+00 --0.992509885E+00-0.995270456E+00-0.998053383E+00-0.100086022E+01-0.100369097E+01 --0.907512078E+00-0.907226440E+00-0.906910874E+00-0.906565380E+00-0.906189957E+00 --0.905784607E+00-0.905349328E+00-0.904884122E+00-0.904389923E+00-0.903873099E+00 --0.903328684E+00-0.902756681E+00-0.902162958E+00-0.901547380E+00-0.900909118E+00 --0.900251409E+00-0.899574673E+00-0.898877362E+00-0.898163025E+00-0.897431391E+00 --0.896681042E+00-0.895915403E+00-0.895134475E+00-0.894337855E+00-0.893526590E+00 --0.892700944E+00-0.891860918E+00-0.891006985E+00-0.890140318E+00-0.889260955E+00 --0.888368148E+00-0.887462233E+00-0.886545177E+00-0.885616490E+00-0.884676305E+00 --0.883725067E+00-0.882762534E+00-0.881790169E+00-0.880807724E+00-0.879814414E+00 --0.878811673E+00-0.877799859E+00-0.876778210E+00-0.875747785E+00-0.874709247E+00 --0.873662185E+00-0.872607193E+00-0.871544650E+00-0.870474556E+00-0.869396872E+00 --0.868311566E+00-0.867219985E+00-0.866122155E+00-0.865018076E+00-0.863907968E+00 --0.862792572E+00-0.861671967E+00-0.860546155E+00-0.859415101E+00-0.858279773E+00 --0.857141017E+00-0.855998832E+00-0.854853018E+00-0.853703215E+00-0.852551195E+00 --0.851397075E+00-0.850240935E+00-0.849082735E+00-0.847923527E+00-0.846763600E+00 --0.845602667E+00-0.844440671E+00-0.843278100E+00-0.842116465E+00-0.840955765E+00 --0.839795897E+00-0.838637485E+00-0.837480714E+00-0.836325585E+00-0.835172446E+00 --0.834023063E+00-0.832877169E+00-0.831734549E+00-0.830595202E+00-0.829459265E+00 --0.828328394E+00-0.827202815E+00-0.826082529E+00-0.824967536E+00-0.823859058E+00 --0.822757122E+00-0.821662190E+00-0.820574276E+00-0.819493186E+00-0.818419695E+00 --0.817353827E+00-0.816297466E+00-0.815250920E+00-0.814213285E+00-0.813184604E+00 --0.812165918E+00-0.811158283E+00-0.810161699E+00-0.809176122E+00-0.808201777E+00 --0.807239916E+00-0.806290329E+00-0.805353016E+00-0.804427870E+00-0.803516142E+00 --0.802619135E+00-0.801736850E+00-0.800869286E+00-0.800016444E+00-0.799178322E+00 --0.798354858E+00-0.797547998E+00-0.796758259E+00-0.795985642E+00-0.795230145E+00 --0.794491770E+00-0.793770809E+00-0.793068969E+00-0.792387650E+00-0.791726582E+00 --0.791085723E+00-0.790465073E+00-0.789865251E+00-0.789286640E+00-0.788731147E+00 --0.788198938E+00-0.787690011E+00-0.787204440E+00-0.786742269E+00-0.786304831E+00 --0.785893005E+00-0.785506767E+00-0.785146318E+00-0.784812300E+00-0.784504715E+00 --0.784223562E+00-0.783968840E+00-0.783740339E+00-0.783540775E+00-0.783369155E+00 --0.783225257E+00-0.783109095E+00-0.783021818E+00-0.782963758E+00-0.782933905E+00 --0.782931836E+00-0.782957849E+00-0.783013017E+00-0.783097414E+00-0.783211040E+00 --0.783353423E+00-0.783523965E+00-0.783723169E+00-0.783951210E+00-0.784206902E+00 --0.784489879E+00-0.784799879E+00-0.785136926E+00-0.785501555E+00-0.785893930E+00 --0.786313568E+00-0.786759753E+00-0.787232549E+00-0.787730025E+00-0.788252174E+00 --0.788798845E+00-0.789370384E+00-0.789964904E+00-0.790581638E+00-0.791221641E+00 --0.791882396E+00-0.792563903E+00-0.793266494E+00-0.793990533E+00-0.794734908E+00 --0.795497042E+00-0.796277105E+00-0.797075499E+00-0.797892127E+00-0.798725714E+00 --0.799576416E+00-0.800444234E+00-0.801329245E+00-0.802231476E+00-0.803150406E+00 --0.804085750E+00-0.805037313E+00-0.806005094E+00-0.806989092E+00-0.807989309E+00 --0.809005811E+00-0.810038094E+00-0.811085631E+00-0.812148858E+00-0.813227775E+00 --0.814322382E+00-0.815432400E+00-0.816557373E+00-0.817697537E+00-0.818852908E+00 --0.820023486E+00-0.821208903E+00-0.822409401E+00-0.823625033E+00-0.824855211E+00 --0.826100256E+00-0.827360292E+00-0.828635240E+00-0.829924490E+00-0.831228617E+00 --0.832547817E+00-0.833881547E+00-0.835229806E+00-0.836592595E+00-0.837969996E+00 --0.839362327E+00-0.840769464E+00-0.842191223E+00-0.843627598E+00-0.845078593E+00 --0.846544459E+00-0.848025165E+00-0.849520615E+00-0.851030958E+00-0.852556208E+00 --0.854096238E+00-0.855651184E+00-0.857221291E+00-0.858806515E+00-0.860406749E+00 --0.862022169E+00-0.863652782E+00-0.865298790E+00-0.866960281E+00-0.868637168E+00 --0.870329536E+00-0.872037454E+00-0.873760921E+00-0.875500231E+00-0.877255099E+00 --0.879026323E+00-0.880813675E+00-0.882617065E+00-0.884436492E+00-0.886272278E+00 --0.888124599E+00-0.889993442E+00-0.891878807E+00-0.893781172E+00-0.895700487E+00 --0.897636706E+00-0.899589982E+00-0.901560315E+00-0.903547812E+00-0.905553085E+00 --0.907576082E+00-0.909616492E+00-0.911675236E+00-0.913751920E+00-0.915846414E+00 --0.917959080E+00-0.920089967E+00-0.922239646E+00-0.924408260E+00-0.926595643E+00 --0.928801844E+00-0.931026808E+00-0.933271546E+00-0.935535219E+00-0.937818325E+00 --0.940121071E+00-0.942444285E+00-0.944782738E+00-0.947142502E+00-0.949525302E+00 --0.951928876E+00-0.954353222E+00-0.956798341E+00-0.959264232E+00-0.961750897E+00 --0.964258334E+00-0.966786543E+00-0.969335526E+00-0.971905281E+00-0.974495809E+00 --0.977107110E+00-0.979740898E+00-0.982400096E+00-0.985080814E+00-0.987783052E+00 --0.990506810E+00-0.993249809E+00-0.996015948E+00-0.998805999E+00-0.100161996E+01 --0.910992267E+00-0.910679039E+00-0.910335883E+00-0.909962800E+00-0.909559788E+00 --0.909126848E+00-0.908663980E+00-0.908171184E+00-0.907648460E+00-0.907095808E+00 --0.906507765E+00-0.905898295E+00-0.905270395E+00-0.904621288E+00-0.903950753E+00 --0.903261466E+00-0.902554913E+00-0.901831094E+00-0.901088738E+00-0.900328853E+00 --0.899552727E+00-0.898761311E+00-0.897954606E+00-0.897132612E+00-0.896298186E+00 --0.895446922E+00-0.894582815E+00-0.893706029E+00-0.892816565E+00-0.891914422E+00 --0.890999601E+00-0.890073682E+00-0.889135312E+00-0.888185922E+00-0.887225510E+00 --0.886254082E+00-0.885272078E+00-0.884280248E+00-0.883278586E+00-0.882267185E+00 --0.881246534E+00-0.880217463E+00-0.879178084E+00-0.878130591E+00-0.877075065E+00 --0.876010843E+00-0.874938924E+00-0.873859948E+00-0.872773322E+00-0.871679048E+00 --0.870577907E+00-0.869470630E+00-0.868357149E+00-0.867237916E+00-0.866112751E+00 --0.864981803E+00-0.863846523E+00-0.862706638E+00-0.861561561E+00-0.860412257E+00 --0.859259863E+00-0.858104040E+00-0.856945039E+00-0.855782903E+00-0.854617680E+00 --0.853450673E+00-0.852281882E+00-0.851111306E+00-0.849940123E+00-0.848767994E+00 --0.847594958E+00-0.846421014E+00-0.845247416E+00-0.844074851E+00-0.842903302E+00 --0.841733424E+00-0.840565078E+00-0.839398099E+00-0.838232761E+00-0.837069691E+00 --0.835910560E+00-0.834755456E+00-0.833604034E+00-0.832455368E+00-0.831312114E+00 --0.830174281E+00-0.829041760E+00-0.827914531E+00-0.826792595E+00-0.825675951E+00 --0.824567268E+00-0.823465382E+00-0.822370658E+00-0.821283777E+00-0.820205122E+00 --0.819134053E+00-0.818072152E+00-0.817020102E+00-0.815977916E+00-0.814945346E+00 --0.813923172E+00-0.812911687E+00-0.811910890E+00-0.810920780E+00-0.809942222E+00 --0.808976523E+00-0.808023686E+00-0.807083712E+00-0.806156576E+00-0.805242301E+00 --0.804342904E+00-0.803458043E+00-0.802587692E+00-0.801731850E+00-0.800890519E+00 --0.800065807E+00-0.799257663E+00-0.798465393E+00-0.797690306E+00-0.796932400E+00 --0.796191896E+00-0.795469639E+00-0.794764885E+00-0.794079277E+00-0.793413878E+00 --0.792768687E+00-0.792143930E+00-0.791539683E+00-0.790955926E+00-0.790393635E+00 --0.789854632E+00-0.789338755E+00-0.788846092E+00-0.788376806E+00-0.787930897E+00 --0.787509025E+00-0.787111890E+00-0.786741080E+00-0.786396507E+00-0.786077983E+00 --0.785785508E+00-0.785519005E+00-0.785277977E+00-0.785064182E+00-0.784877166E+00 --0.784717720E+00-0.784585897E+00-0.784482544E+00-0.784407876E+00-0.784360991E+00 --0.784341891E+00-0.784350574E+00-0.784386996E+00-0.784452029E+00-0.784545244E+00 --0.784666640E+00-0.784816265E+00-0.784993750E+00-0.785199179E+00-0.785432255E+00 --0.785691632E+00-0.785977970E+00-0.786291380E+00-0.786631812E+00-0.786999266E+00 --0.787393742E+00-0.787815418E+00-0.788260139E+00-0.788729457E+00-0.789223644E+00 --0.789742698E+00-0.790286281E+00-0.790852066E+00-0.791439737E+00-0.792050107E+00 --0.792681587E+00-0.793333819E+00-0.794006803E+00-0.794700212E+00-0.795412371E+00 --0.796143271E+00-0.796892630E+00-0.797660448E+00-0.798446591E+00-0.799250037E+00 --0.800070600E+00-0.800908277E+00-0.801763163E+00-0.802635659E+00-0.803524496E+00 --0.804430121E+00-0.805352731E+00-0.806291638E+00-0.807246843E+00-0.808218344E+00 --0.809206142E+00-0.810209861E+00-0.811229269E+00-0.812264373E+00-0.813315174E+00 --0.814381450E+00-0.815463533E+00-0.816561080E+00-0.817673835E+00-0.818801808E+00 --0.819945107E+00-0.821103735E+00-0.822277341E+00-0.823465769E+00-0.824669407E+00 --0.825888036E+00-0.827121656E+00-0.828370246E+00-0.829633658E+00-0.830911942E+00 --0.832205100E+00-0.833513062E+00-0.834835569E+00-0.836172733E+00-0.837524907E+00 --0.838891959E+00-0.840273891E+00-0.841670585E+00-0.843081898E+00-0.844508070E+00 --0.845949195E+00-0.847405272E+00-0.848876141E+00-0.850361977E+00-0.851862853E+00 --0.853378574E+00-0.854909456E+00-0.856455499E+00-0.858016706E+00-0.859592895E+00 --0.861184375E+00-0.862791337E+00-0.864413782E+00-0.866051710E+00-0.867705121E+00 --0.869374090E+00-0.871058812E+00-0.872759085E+00-0.874475423E+00-0.876207701E+00 --0.877955773E+00-0.879720223E+00-0.881501050E+00-0.883298095E+00-0.885111179E+00 --0.886941245E+00-0.888787713E+00-0.890650990E+00-0.892531306E+00-0.894428659E+00 --0.896343072E+00-0.898274736E+00-0.900223458E+00-0.902189532E+00-0.904173470E+00 --0.906175279E+00-0.908194961E+00-0.910232593E+00-0.912288378E+00-0.914362336E+00 --0.916454468E+00-0.918565145E+00-0.920694772E+00-0.922842906E+00-0.925010223E+00 --0.927196563E+00-0.929401837E+00-0.931626543E+00-0.933870776E+00-0.936134764E+00 --0.938418398E+00-0.940722155E+00-0.943046346E+00-0.945386342E+00-0.947747216E+00 --0.950129900E+00-0.952534542E+00-0.954962276E+00-0.957410783E+00-0.959880062E+00 --0.962370114E+00-0.964880939E+00-0.967412537E+00-0.969964907E+00-0.972538050E+00 --0.975131966E+00-0.977746655E+00-0.980389261E+00-0.983054479E+00-0.985741216E+00 --0.988447244E+00-0.991172682E+00-0.993922032E+00-0.996695295E+00-0.999492470E+00 --0.914594558E+00-0.914253741E+00-0.913882995E+00-0.913482322E+00-0.913049989E+00 --0.912581598E+00-0.912079506E+00-0.911543715E+00-0.910974223E+00-0.910371031E+00 --0.909734139E+00-0.909087927E+00-0.908429034E+00-0.907747048E+00-0.907044240E+00 --0.906323556E+00-0.905585607E+00-0.904830763E+00-0.904058707E+00-0.903270642E+00 --0.902466195E+00-0.901646459E+00-0.900811433E+00-0.899961598E+00-0.899100294E+00 --0.898224483E+00-0.897335932E+00-0.896434641E+00-0.895520609E+00-0.894593974E+00 --0.893656925E+00-0.892707991E+00-0.891748349E+00-0.890777946E+00-0.889796393E+00 --0.888803802E+00-0.887801452E+00-0.886789689E+00-0.885768515E+00-0.884737930E+00 --0.883698241E+00-0.882649861E+00-0.881592863E+00-0.880527255E+00-0.879453039E+00 --0.878370243E+00-0.877280079E+00-0.876183157E+00-0.875079477E+00-0.873968777E+00 --0.872851279E+00-0.871727477E+00-0.870597662E+00-0.869462093E+00-0.868320772E+00 --0.867174160E+00-0.866023190E+00-0.864867886E+00-0.863708250E+00-0.862544239E+00 --0.861376932E+00-0.860206475E+00-0.859032828E+00-0.857855992E+00-0.856676672E+00 --0.855495801E+00-0.854313045E+00-0.853128417E+00-0.851943588E+00-0.850758559E+00 --0.849573316E+00-0.848387268E+00-0.847201784E+00-0.846017596E+00-0.844833766E+00 --0.843651742E+00-0.842471524E+00-0.841293766E+00-0.840118211E+00-0.838945285E+00 --0.837776343E+00-0.836610954E+00-0.835449569E+00-0.834291803E+00-0.833138986E+00 --0.831991581E+00-0.830849588E+00-0.829713006E+00-0.828583090E+00-0.827459801E+00 --0.826342215E+00-0.825232956E+00-0.824131513E+00-0.823036996E+00-0.821952395E+00 --0.820875513E+00-0.819808071E+00-0.818750063E+00-0.817701549E+00-0.816662513E+00 --0.815634444E+00-0.814617832E+00-0.813612380E+00-0.812617623E+00-0.811634919E+00 --0.810665109E+00-0.809708044E+00-0.808763791E+00-0.807832380E+00-0.806914378E+00 --0.806011219E+00-0.805122873E+00-0.804249047E+00-0.803389730E+00-0.802545159E+00 --0.801716954E+00-0.800905416E+00-0.800110547E+00-0.799332722E+00-0.798571684E+00 --0.797828158E+00-0.797102797E+00-0.796395602E+00-0.795706511E+00-0.795036725E+00 --0.794386732E+00-0.793757229E+00-0.793148217E+00-0.792559695E+00-0.791991678E+00 --0.791445621E+00-0.790922470E+00-0.790422705E+00-0.789946023E+00-0.789492302E+00 --0.789061799E+00-0.788654998E+00-0.788272701E+00-0.787916453E+00-0.787586253E+00 --0.787282032E+00-0.787003130E+00-0.786749594E+00-0.786522744E+00-0.786322670E+00 --0.786149371E+00-0.786002729E+00-0.785883099E+00-0.785791080E+00-0.785726704E+00 --0.785689970E+00-0.785680840E+00-0.785698929E+00-0.785745175E+00-0.785819504E+00 --0.785920790E+00-0.786048713E+00-0.786203530E+00-0.786386610E+00-0.786597268E+00 --0.786834230E+00-0.787097493E+00-0.787387256E+00-0.787704078E+00-0.788047921E+00 --0.788417535E+00-0.788811424E+00-0.789229880E+00-0.789671847E+00-0.790138417E+00 --0.790629854E+00-0.791145448E+00-0.791682929E+00-0.792242295E+00-0.792823488E+00 --0.793425694E+00-0.794048599E+00-0.794691853E+00-0.795355409E+00-0.796037821E+00 --0.796738633E+00-0.797457555E+00-0.798194796E+00-0.798950864E+00-0.799724171E+00 --0.800514733E+00-0.801323032E+00-0.802149076E+00-0.802992851E+00-0.803853340E+00 --0.804730396E+00-0.805624019E+00-0.806534210E+00-0.807460755E+00-0.808403552E+00 --0.809362948E+00-0.810338659E+00-0.811330066E+00-0.812337318E+00-0.813360654E+00 --0.814399862E+00-0.815454076E+00-0.816524229E+00-0.817610046E+00-0.818711193E+00 --0.819827668E+00-0.820959470E+00-0.822106393E+00-0.823268497E+00-0.824445783E+00 --0.825638191E+00-0.826845395E+00-0.828067700E+00-0.829305272E+00-0.830557718E+00 --0.831825037E+00-0.833107229E+00-0.834404429E+00-0.835716452E+00-0.837043356E+00 --0.838385141E+00-0.839741807E+00-0.841113359E+00-0.842499837E+00-0.843901253E+00 --0.845317618E+00-0.846748933E+00-0.848195198E+00-0.849656469E+00-0.851132750E+00 --0.852624318E+00-0.854131036E+00-0.855652905E+00-0.857189925E+00-0.858742041E+00 --0.860309591E+00-0.861892727E+00-0.863491447E+00-0.865105754E+00-0.866735645E+00 --0.868381117E+00-0.870041931E+00-0.871718956E+00-0.873411990E+00-0.875121021E+00 --0.876846126E+00-0.878587598E+00-0.880345448E+00-0.882119674E+00-0.883910399E+00 --0.885717753E+00-0.887541577E+00-0.889382576E+00-0.891240748E+00-0.893116031E+00 --0.895008346E+00-0.896917700E+00-0.898844644E+00-0.900789378E+00-0.902751908E+00 --0.904732136E+00-0.906730055E+00-0.908746077E+00-0.910780589E+00-0.912833592E+00 --0.914905210E+00-0.916995502E+00-0.919104200E+00-0.921231642E+00-0.923378325E+00 --0.925544512E+00-0.927729727E+00-0.929934387E+00-0.932158490E+00-0.934403223E+00 --0.936667053E+00-0.938950933E+00-0.941255247E+00-0.943579995E+00-0.945921856E+00 --0.948285242E+00-0.950670439E+00-0.953077445E+00-0.955506262E+00-0.957956889E+00 --0.960429392E+00-0.962922832E+00-0.965437045E+00-0.967972031E+00-0.970527789E+00 --0.973104320E+00-0.975701623E+00-0.978324166E+00-0.980973883E+00-0.983645120E+00 --0.986330423E+00-0.989039073E+00-0.991771636E+00-0.994528110E+00-0.997308497E+00 --0.918313401E+00-0.917936445E+00-0.917525788E+00-0.917081432E+00-0.916603375E+00 --0.916091618E+00-0.915546161E+00-0.914967004E+00-0.914354147E+00-0.913707589E+00 --0.913027332E+00-0.912340114E+00-0.911641447E+00-0.910924634E+00-0.910189580E+00 --0.909436006E+00-0.908663949E+00-0.907873425E+00-0.907066760E+00-0.906247179E+00 --0.905413074E+00-0.904563607E+00-0.903698850E+00-0.902820793E+00-0.901931052E+00 --0.901029619E+00-0.900115757E+00-0.899189005E+00-0.898250013E+00-0.897299673E+00 --0.896337985E+00-0.895365235E+00-0.894382327E+00-0.893389316E+00-0.892386161E+00 --0.891372693E+00-0.890349747E+00-0.889317210E+00-0.888275219E+00-0.887223775E+00 --0.886163156E+00-0.885094623E+00-0.884018241E+00-0.882933879E+00-0.881840959E+00 --0.880739430E+00-0.879631046E+00-0.878515904E+00-0.877394005E+00-0.876265588E+00 --0.875130594E+00-0.873989585E+00-0.872842529E+00-0.871689764E+00-0.870531291E+00 --0.869368424E+00-0.868201186E+00-0.867029386E+00-0.865853115E+00-0.864672379E+00 --0.863488690E+00-0.862302498E+00-0.861113805E+00-0.859922310E+00-0.858727862E+00 --0.857532427E+00-0.856334187E+00-0.855135746E+00-0.853937104E+00-0.852738261E+00 --0.851539202E+00-0.850339659E+00-0.849140629E+00-0.847942243E+00-0.846745904E+00 --0.845551734E+00-0.844359370E+00-0.843168813E+00-0.841981923E+00-0.840797553E+00 --0.839616885E+00-0.838440221E+00-0.837267562E+00-0.836099053E+00-0.834936674E+00 --0.833779707E+00-0.832627914E+00-0.831482089E+00-0.830342456E+00-0.829209011E+00 --0.828082582E+00-0.826964553E+00-0.825854924E+00-0.824753697E+00-0.823661105E+00 --0.822576507E+00-0.821501921E+00-0.820436862E+00-0.819381331E+00-0.818335475E+00 --0.817300965E+00-0.816277911E+00-0.815266320E+00-0.814266599E+00-0.813278256E+00 --0.812302701E+00-0.811340574E+00-0.810391399E+00-0.809455067E+00-0.808532172E+00 --0.807624086E+00-0.806730832E+00-0.805852576E+00-0.804989783E+00-0.804141274E+00 --0.803309419E+00-0.802493947E+00-0.801694468E+00-0.800912579E+00-0.800147782E+00 --0.799400373E+00-0.798671104E+00-0.797959974E+00-0.797267217E+00-0.796593889E+00 --0.795938700E+00-0.795303974E+00-0.794689727E+00-0.794095958E+00-0.793522977E+00 --0.792971254E+00-0.792440500E+00-0.791932334E+00-0.791447129E+00-0.790984887E+00 --0.790545867E+00-0.790130638E+00-0.789739201E+00-0.789371339E+00-0.789029421E+00 --0.788712747E+00-0.788421318E+00-0.788155146E+00-0.787915240E+00-0.787702111E+00 --0.787515167E+00-0.787353825E+00-0.787218647E+00-0.787110219E+00-0.787028396E+00 --0.786973926E+00-0.786946655E+00-0.786946270E+00-0.786974249E+00-0.787028866E+00 --0.787110119E+00-0.787218009E+00-0.787352535E+00-0.787513867E+00-0.787701789E+00 --0.787916257E+00-0.788157005E+00-0.788424032E+00-0.788717455E+00-0.789036334E+00 --0.789379484E+00-0.789747188E+00-0.790139458E+00-0.790556295E+00-0.790996493E+00 --0.791461026E+00-0.791948317E+00-0.792457414E+00-0.792988345E+00-0.793541236E+00 --0.794115274E+00-0.794708890E+00-0.795322604E+00-0.795956576E+00-0.796609505E+00 --0.797280885E+00-0.797970715E+00-0.798678879E+00-0.799405143E+00-0.800149153E+00 --0.800910908E+00-0.801690408E+00-0.802487654E+00-0.803302646E+00-0.804134787E+00 --0.804983495E+00-0.805848770E+00-0.806730613E+00-0.807629080E+00-0.808544679E+00 --0.809476140E+00-0.810424022E+00-0.811387984E+00-0.812368025E+00-0.813364147E+00 --0.814376066E+00-0.815403657E+00-0.816446945E+00-0.817505928E+00-0.818580283E+00 --0.819669934E+00-0.820775238E+00-0.821895951E+00-0.823031846E+00-0.824182922E+00 --0.825349181E+00-0.826530662E+00-0.827727321E+00-0.828938878E+00-0.830165537E+00 --0.831407247E+00-0.832664008E+00-0.833935819E+00-0.835222623E+00-0.836524310E+00 --0.837840877E+00-0.839172389E+00-0.840518976E+00-0.841880609E+00-0.843257202E+00 --0.844648745E+00-0.846055331E+00-0.847477052E+00-0.848913764E+00-0.850365568E+00 --0.851832673E+00-0.853315078E+00-0.854812783E+00-0.856325624E+00-0.857853615E+00 --0.859397223E+00-0.860956425E+00-0.862531212E+00-0.864121598E+00-0.865727621E+00 --0.867349276E+00-0.868986636E+00-0.870640119E+00-0.872309792E+00-0.873995647E+00 --0.875697357E+00-0.877415701E+00-0.879150529E+00-0.880901706E+00-0.882669330E+00 --0.884453562E+00-0.886254944E+00-0.888073271E+00-0.889908724E+00-0.891761351E+00 --0.893631168E+00-0.895518560E+00-0.897423368E+00-0.899346169E+00-0.901286712E+00 --0.903244952E+00-0.905221079E+00-0.907215664E+00-0.909228715E+00-0.911260259E+00 --0.913310578E+00-0.915379682E+00-0.917467563E+00-0.919574308E+00-0.921700382E+00 --0.923845573E+00-0.926010398E+00-0.928194967E+00-0.930399133E+00-0.932623048E+00 --0.934866616E+00-0.937130619E+00-0.939415055E+00-0.941719926E+00-0.944045189E+00 --0.946389278E+00-0.948755177E+00-0.951142886E+00-0.953552405E+00-0.955983734E+00 --0.958436874E+00-0.960911823E+00-0.963408583E+00-0.965926652E+00-0.968465025E+00 --0.971024171E+00-0.973604090E+00-0.976204810E+00-0.978839026E+00-0.981489173E+00 --0.984157123E+00-0.986848984E+00-0.989564758E+00-0.992304445E+00-0.995068044E+00 --0.922161889E+00-0.921724122E+00-0.921255653E+00-0.920756481E+00-0.920226608E+00 --0.919668457E+00-0.919079634E+00-0.918457111E+00-0.917800888E+00-0.917110965E+00 --0.916387342E+00-0.915659118E+00-0.914918454E+00-0.914158062E+00-0.913380763E+00 --0.912587193E+00-0.911779017E+00-0.910952579E+00-0.910111752E+00-0.909257997E+00 --0.908391548E+00-0.907512350E+00-0.906617936E+00-0.905711354E+00-0.904793044E+00 --0.903862837E+00-0.902920900E+00-0.901967281E+00-0.901002604E+00-0.900026867E+00 --0.899040622E+00-0.898044747E+00-0.897038362E+00-0.896021796E+00-0.894995051E+00 --0.893958516E+00-0.892913230E+00-0.891859206E+00-0.890795848E+00-0.889722963E+00 --0.888641848E+00-0.887552884E+00-0.886456070E+00-0.885351407E+00-0.884238894E+00 --0.883118592E+00-0.881991798E+00-0.880857901E+00-0.879716916E+00-0.878569071E+00 --0.877414713E+00-0.876254989E+00-0.875089989E+00-0.873919466E+00-0.872743189E+00 --0.871562266E+00-0.870377288E+00-0.869188282E+00-0.867995243E+00-0.866797631E+00 --0.865597517E+00-0.864394891E+00-0.863189466E+00-0.861981139E+00-0.860770920E+00 --0.859559066E+00-0.858346195E+00-0.857132924E+00-0.855919168E+00-0.854704927E+00 --0.853490203E+00-0.852274994E+00-0.851061242E+00-0.849849879E+00-0.848639997E+00 --0.847431770E+00-0.846225683E+00-0.845021736E+00-0.843821324E+00-0.842624519E+00 --0.841431341E+00-0.840242584E+00-0.839058251E+00-0.837878339E+00-0.836703438E+00 --0.835535078E+00-0.834372909E+00-0.833216931E+00-0.832067144E+00-0.830923606E+00 --0.829788406E+00-0.828661568E+00-0.827542718E+00-0.826431766E+00-0.825329191E+00 --0.824236905E+00-0.823153204E+00-0.822079827E+00-0.821016774E+00-0.819963956E+00 --0.818922095E+00-0.817891851E+00-0.816873384E+00-0.815866693E+00-0.814871778E+00 --0.813889701E+00-0.812921005E+00-0.811965676E+00-0.811024171E+00-0.810096296E+00 --0.809182690E+00-0.808283857E+00-0.807399797E+00-0.806531693E+00-0.805678664E+00 --0.804841714E+00-0.804020845E+00-0.803216648E+00-0.802429757E+00-0.801660173E+00 --0.800908003E+00-0.800173962E+00-0.799457943E+00-0.798760447E+00-0.798082023E+00 --0.797422671E+00-0.796782510E+00-0.796162618E+00-0.795562713E+00-0.794983736E+00 --0.794425845E+00-0.793889039E+00-0.793373318E+00-0.792879494E+00-0.792408730E+00 --0.791960999E+00-0.791537003E+00-0.791136279E+00-0.790758785E+00-0.790405684E+00 --0.790077287E+00-0.789773569E+00-0.789494652E+00-0.789241666E+00-0.789014283E+00 --0.788812503E+00-0.788636326E+00-0.788485815E+00-0.788361748E+00-0.788264321E+00 --0.788193536E+00-0.788148582E+00-0.788129906E+00-0.788138077E+00-0.788173095E+00 --0.788234960E+00-0.788323672E+00-0.788438248E+00-0.788578046E+00-0.788744606E+00 --0.788936025E+00-0.789153268E+00-0.789396844E+00-0.789666594E+00-0.789961071E+00 --0.790279832E+00-0.790622876E+00-0.790990203E+00-0.791381485E+00-0.791795770E+00 --0.792233711E+00-0.792693125E+00-0.793173899E+00-0.793676633E+00-0.794201327E+00 --0.794747575E+00-0.795313288E+00-0.795898691E+00-0.796503208E+00-0.797126742E+00 --0.797769220E+00-0.798430496E+00-0.799110599E+00-0.799809012E+00-0.800525024E+00 --0.801258633E+00-0.802009839E+00-0.802778643E+00-0.803565152E+00-0.804368685E+00 --0.805189425E+00-0.806027072E+00-0.806881625E+00-0.807753064E+00-0.808641003E+00 --0.809545345E+00-0.810466093E+00-0.811403017E+00-0.812355843E+00-0.813325024E+00 --0.814310298E+00-0.815311267E+00-0.816327932E+00-0.817360293E+00-0.818408350E+00 --0.819472075E+00-0.820551168E+00-0.821645615E+00-0.822755417E+00-0.823880572E+00 --0.825021083E+00-0.826176947E+00-0.827347977E+00-0.828534016E+00-0.829735175E+00 --0.830951454E+00-0.832182798E+00-0.833429186E+00-0.834690683E+00-0.835967156E+00 --0.837258683E+00-0.838565276E+00-0.839886936E+00-0.841223695E+00-0.842575457E+00 --0.843942284E+00-0.845324231E+00-0.846721297E+00-0.848133455E+00-0.849560841E+00 --0.851003528E+00-0.852461514E+00-0.853934801E+00-0.855423414E+00-0.856927383E+00 --0.858446750E+00-0.859981807E+00-0.861532607E+00-0.863099038E+00-0.864681100E+00 --0.866278783E+00-0.867892495E+00-0.869522396E+00-0.871168484E+00-0.872830676E+00 --0.874508948E+00-0.876203686E+00-0.877915079E+00-0.879642912E+00-0.881387195E+00 --0.883148338E+00-0.884926659E+00-0.886722159E+00-0.888534851E+00-0.890364806E+00 --0.892212021E+00-0.894076498E+00-0.895958599E+00-0.897858824E+00-0.899777201E+00 --0.901713478E+00-0.903668134E+00-0.905640585E+00-0.907631809E+00-0.909641807E+00 --0.911670580E+00-0.913718116E+00-0.915784734E+00-0.917870499E+00-0.919975263E+00 --0.922099496E+00-0.924243471E+00-0.926407208E+00-0.928591219E+00-0.930793769E+00 --0.933017044E+00-0.935261212E+00-0.937525771E+00-0.939810765E+00-0.942116192E+00 --0.944442008E+00-0.946788609E+00-0.949157021E+00-0.951547242E+00-0.953959274E+00 --0.956393116E+00-0.958848768E+00-0.961326230E+00-0.963825502E+00-0.966346584E+00 --0.968889476E+00-0.971454053E+00-0.974037360E+00-0.976648931E+00-0.979276180E+00 --0.981927341E+00-0.984602415E+00-0.987301400E+00-0.990024299E+00-0.992771109E+00 --0.926033559E+00-0.925593487E+00-0.925102736E+00-0.924547189E+00-0.923960940E+00 --0.923343989E+00-0.922696335E+00-0.922017980E+00-0.921308922E+00-0.920569162E+00 --0.919798700E+00-0.919022585E+00-0.918234068E+00-0.917430402E+00-0.916611330E+00 --0.915777724E+00-0.914930363E+00-0.914068709E+00-0.913193721E+00-0.912305699E+00 --0.911404642E+00-0.910490516E+00-0.909565192E+00-0.908628371E+00-0.907680054E+00 --0.906720241E+00-0.905749263E+00-0.904768560E+00-0.903776684E+00-0.902774132E+00 --0.901762372E+00-0.900741403E+00-0.899711003E+00-0.898670400E+00-0.897619687E+00 --0.896560239E+00-0.895492077E+00-0.894415211E+00-0.893330523E+00-0.892236285E+00 --0.891134213E+00-0.890024369E+00-0.888906681E+00-0.887781150E+00-0.886647776E+00 --0.885506605E+00-0.884359113E+00-0.883205293E+00-0.882044747E+00-0.880877340E+00 --0.879703696E+00-0.878524764E+00-0.877340554E+00-0.876151067E+00-0.874956214E+00 --0.873756843E+00-0.872553035E+00-0.871344836E+00-0.870133978E+00-0.868919741E+00 --0.867701913E+00-0.866481182E+00-0.865257546E+00-0.864031558E+00-0.862804313E+00 --0.861575722E+00-0.860345201E+00-0.859114828E+00-0.857884679E+00-0.856654774E+00 --0.855424384E+00-0.854193575E+00-0.852964140E+00-0.851736853E+00-0.850511717E+00 --0.849288871E+00-0.848068765E+00-0.846850766E+00-0.845635975E+00-0.844425373E+00 --0.843219041E+00-0.842017204E+00-0.840819807E+00-0.839627833E+00-0.838441034E+00 --0.837259647E+00-0.836084958E+00-0.834916967E+00-0.833755675E+00-0.832602387E+00 --0.831457220E+00-0.830319789E+00-0.829190257E+00-0.828068625E+00-0.826955643E+00 --0.825853099E+00-0.824760973E+00-0.823678822E+00-0.822606996E+00-0.821545860E+00 --0.820496271E+00-0.819457491E+00-0.818431029E+00-0.817416898E+00-0.816415099E+00 --0.815425745E+00-0.814450072E+00-0.813488034E+00-0.812539631E+00-0.811604864E+00 --0.810684881E+00-0.809779718E+00-0.808889516E+00-0.808014955E+00-0.807156423E+00 --0.806313830E+00-0.805486879E+00-0.804677235E+00-0.803884896E+00-0.803109864E+00 --0.802351868E+00-0.801611668E+00-0.800889792E+00-0.800186887E+00-0.799502954E+00 --0.798837992E+00-0.798192167E+00-0.797566161E+00-0.796959514E+00-0.796373988E+00 --0.795809582E+00-0.795266296E+00-0.794744130E+00-0.794243084E+00-0.793763480E+00 --0.793306806E+00-0.792872958E+00-0.792462230E+00-0.792074582E+00-0.791710767E+00 --0.791371655E+00-0.791056687E+00-0.790765576E+00-0.790499313E+00-0.790257911E+00 --0.790041429E+00-0.789850417E+00-0.789685008E+00-0.789545361E+00-0.789432233E+00 --0.789344807E+00-0.789282798E+00-0.789245931E+00-0.789234972E+00-0.789250859E+00 --0.789293498E+00-0.789361943E+00-0.789455952E+00-0.789575666E+00-0.789721099E+00 --0.789891363E+00-0.790086458E+00-0.790306468E+00-0.790552462E+00-0.790822539E+00 --0.791116878E+00-0.791435344E+00-0.791777936E+00-0.792144225E+00-0.792532664E+00 --0.792944173E+00-0.793377649E+00-0.793832034E+00-0.794307326E+00-0.794803808E+00 --0.795322264E+00-0.795860373E+00-0.796417822E+00-0.796994463E+00-0.797590113E+00 --0.798204770E+00-0.798837921E+00-0.799489778E+00-0.800160302E+00-0.800848424E+00 --0.801554160E+00-0.802277848E+00-0.803019622E+00-0.803779242E+00-0.804555764E+00 --0.805349207E+00-0.806159568E+00-0.806986926E+00-0.807831309E+00-0.808692393E+00 --0.809569881E+00-0.810463773E+00-0.811374068E+00-0.812300562E+00-0.813243274E+00 --0.814201981E+00-0.815176534E+00-0.816166935E+00-0.817173182E+00-0.818195277E+00 --0.819233130E+00-0.820286376E+00-0.821355050E+00-0.822439152E+00-0.823538615E+00 --0.824653431E+00-0.825783602E+00-0.826929182E+00-0.828089931E+00-0.829265800E+00 --0.830456789E+00-0.831662898E+00-0.832884154E+00-0.834120641E+00-0.835372168E+00 --0.836638769E+00-0.837920444E+00-0.839217197E+00-0.840529009E+00-0.841856011E+00 --0.843198174E+00-0.844555461E+00-0.845927871E+00-0.847315408E+00-0.848718247E+00 --0.850136492E+00-0.851570070E+00-0.853018981E+00-0.854483224E+00-0.855962799E+00 --0.857457863E+00-0.858968670E+00-0.860495200E+00-0.862037471E+00-0.863595542E+00 --0.865169492E+00-0.866759393E+00-0.868365374E+00-0.869987433E+00-0.871625572E+00 --0.873279913E+00-0.874950921E+00-0.876638633E+00-0.878343050E+00-0.880064052E+00 --0.881801999E+00-0.883556899E+00-0.885329045E+00-0.887118436E+00-0.888925117E+00 --0.890749417E+00-0.892591001E+00-0.894450457E+00-0.896328039E+00-0.898223747E+00 --0.900137528E+00-0.902069670E+00-0.904020396E+00-0.905989707E+00-0.907977603E+00 --0.909984084E+00-0.912009358E+00-0.914054448E+00-0.916118809E+00-0.918202452E+00 --0.920305832E+00-0.922428903E+00-0.924571668E+00-0.926733552E+00-0.928915256E+00 --0.931117999E+00-0.933341781E+00-0.935586603E+00-0.937852464E+00-0.940138061E+00 --0.942444046E+00-0.944770736E+00-0.947119850E+00-0.949490774E+00-0.951883508E+00 --0.954298052E+00-0.956734406E+00-0.959192571E+00-0.961672545E+00-0.964174330E+00 --0.966697925E+00-0.969244121E+00-0.971813177E+00-0.974404028E+00-0.977012493E+00 --0.979645162E+00-0.982302033E+00-0.984983108E+00-0.987688386E+00-0.990417867E+00 --0.930003152E+00-0.929455585E+00-0.928894559E+00-0.928320072E+00-0.927732126E+00 --0.927066885E+00-0.926362856E+00-0.925628125E+00-0.924862691E+00-0.924066556E+00 --0.923239718E+00-0.922414686E+00-0.921584760E+00-0.920738894E+00-0.919878050E+00 --0.919004781E+00-0.918118138E+00-0.917218654E+00-0.916305822E+00-0.915379955E+00 --0.914441707E+00-0.913495538E+00-0.912537378E+00-0.911568193E+00-0.910588614E+00 --0.909598640E+00-0.908598205E+00-0.907588169E+00-0.906568798E+00-0.905540218E+00 --0.904502430E+00-0.903455433E+00-0.902399228E+00-0.901333887E+00-0.900259640E+00 --0.899177255E+00-0.898085924E+00-0.896985878E+00-0.895877560E+00-0.894761447E+00 --0.893636705E+00-0.892504734E+00-0.891365523E+00-0.890218604E+00-0.889063841E+00 --0.887901794E+00-0.886733451E+00-0.885558772E+00-0.884377757E+00-0.883190363E+00 --0.881997326E+00-0.880798632E+00-0.879594332E+00-0.878384426E+00-0.877169688E+00 --0.875950557E+00-0.874726850E+00-0.873499378E+00-0.872268848E+00-0.871035259E+00 --0.869798612E+00-0.868559324E+00-0.867317124E+00-0.866073218E+00-0.864827970E+00 --0.863581381E+00-0.862333520E+00-0.861085459E+00-0.859837513E+00-0.858589681E+00 --0.857341963E+00-0.856094782E+00-0.854849330E+00-0.853606113E+00-0.852365053E+00 --0.851126142E+00-0.849889381E+00-0.848656016E+00-0.847426564E+00-0.846201255E+00 --0.844980008E+00-0.843763221E+00-0.842552138E+00-0.841346334E+00-0.840145810E+00 --0.838951583E+00-0.837764260E+00-0.836582961E+00-0.835409101E+00-0.834243428E+00 --0.833085945E+00-0.831936650E+00-0.830796274E+00-0.829663959E+00-0.828540563E+00 --0.827427622E+00-0.826325152E+00-0.825233308E+00-0.824152029E+00-0.823081357E+00 --0.822022239E+00-0.820974737E+00-0.819939699E+00-0.818917035E+00-0.817907082E+00 --0.816909516E+00-0.815925227E+00-0.814955312E+00-0.813999773E+00-0.813057946E+00 --0.812130610E+00-0.811218442E+00-0.810321364E+00-0.809439980E+00-0.808574057E+00 --0.807724466E+00-0.806891673E+00-0.806075790E+00-0.805276816E+00-0.804494812E+00 --0.803730716E+00-0.802984548E+00-0.802256327E+00-0.801546817E+00-0.800856279E+00 --0.800184740E+00-0.799532642E+00-0.798900127E+00-0.798287041E+00-0.797694224E+00 --0.797122527E+00-0.796571950E+00-0.796042428E+00-0.795533816E+00-0.795046114E+00 --0.794580126E+00-0.794137083E+00-0.793716872E+00-0.793319494E+00-0.792945074E+00 --0.792594338E+00-0.792267331E+00-0.791964053E+00-0.791684802E+00-0.791430412E+00 --0.791200883E+00-0.790996214E+00-0.790816406E+00-0.790660875E+00-0.790531149E+00 --0.790426814E+00-0.790347857E+00-0.790294294E+00-0.790265486E+00-0.790262578E+00 --0.790285234E+00-0.790333454E+00-0.790407238E+00-0.790506538E+00-0.790630816E+00 --0.790779925E+00-0.790953865E+00-0.791152126E+00-0.791374750E+00-0.791621452E+00 --0.791891311E+00-0.792185295E+00-0.792503403E+00-0.792844421E+00-0.793207702E+00 --0.793593363E+00-0.794000777E+00-0.794429099E+00-0.794878339E+00-0.795348699E+00 --0.795840097E+00-0.796350216E+00-0.796880625E+00-0.797429960E+00-0.797998220E+00 --0.798585404E+00-0.799191514E+00-0.799816522E+00-0.800459221E+00-0.801120038E+00 --0.801798941E+00-0.802495928E+00-0.803211000E+00-0.803943722E+00-0.804693373E+00 --0.805460065E+00-0.806244204E+00-0.807045475E+00-0.807863199E+00-0.808697796E+00 --0.809548963E+00-0.810416543E+00-0.811300537E+00-0.812200913E+00-0.813117671E+00 --0.814050675E+00-0.814999492E+00-0.815964089E+00-0.816944467E+00-0.817940599E+00 --0.818952675E+00-0.819980419E+00-0.821023593E+00-0.822082195E+00-0.823156226E+00 --0.824245686E+00-0.825350609E+00-0.826470830E+00-0.827606288E+00-0.828756962E+00 --0.829922853E+00-0.831103961E+00-0.832300285E+00-0.833511819E+00-0.834738435E+00 --0.835980125E+00-0.837236936E+00-0.838508941E+00-0.839796053E+00-0.841098287E+00 --0.842415738E+00-0.843748360E+00-0.845096125E+00-0.846459212E+00-0.847837456E+00 --0.849231048E+00-0.850640069E+00-0.852064518E+00-0.853504375E+00-0.854959558E+00 --0.856430327E+00-0.857916892E+00-0.859419127E+00-0.860937016E+00-0.862470577E+00 --0.864020213E+00-0.865586018E+00-0.867167948E+00-0.868765954E+00-0.870380027E+00 --0.872010560E+00-0.873657797E+00-0.875321720E+00-0.877002231E+00-0.878699418E+00 --0.880413639E+00-0.882144896E+00-0.883893520E+00-0.885659509E+00-0.887442865E+00 --0.889243587E+00-0.891062138E+00-0.892898780E+00-0.894753311E+00-0.896625729E+00 --0.898516222E+00-0.900425627E+00-0.902353911E+00-0.904300789E+00-0.906266252E+00 --0.908250299E+00-0.910253602E+00-0.912276484E+00-0.914319219E+00-0.916381349E+00 --0.918463174E+00-0.920564693E+00-0.922685907E+00-0.924826073E+00-0.926987245E+00 --0.929169455E+00-0.931372705E+00-0.933596995E+00-0.935842323E+00-0.938108691E+00 --0.940396097E+00-0.942703487E+00-0.945031372E+00-0.947382999E+00-0.949756435E+00 --0.952151682E+00-0.954568739E+00-0.957007519E+00-0.959468540E+00-0.961951823E+00 --0.964457367E+00-0.966985174E+00-0.969535242E+00-0.972107573E+00-0.974699914E+00 --0.977313824E+00-0.979951938E+00-0.982614254E+00-0.985300774E+00-0.988011497E+00 --0.934167162E+00-0.933512100E+00-0.932843578E+00-0.932161596E+00-0.931466154E+00 --0.930757253E+00-0.930034892E+00-0.929283209E+00-0.928461400E+00-0.927608889E+00 --0.926725676E+00-0.925850869E+00-0.924973289E+00-0.924082503E+00-0.923177427E+00 --0.922260310E+00-0.921330596E+00-0.920388360E+00-0.919437682E+00-0.918473865E+00 --0.917499236E+00-0.916517048E+00-0.915526804E+00-0.914525913E+00-0.913514629E+00 --0.912493019E+00-0.911463063E+00-0.910425661E+00-0.909379248E+00-0.908323666E+00 --0.907259064E+00-0.906185441E+00-0.905102798E+00-0.904011443E+00-0.902912978E+00 --0.901806373E+00-0.900691052E+00-0.899567070E+00-0.898435300E+00-0.897296034E+00 --0.896148988E+00-0.894994519E+00-0.893832820E+00-0.892663892E+00-0.891487740E+00 --0.890304735E+00-0.889115131E+00-0.887918927E+00-0.886716123E+00-0.885507011E+00 --0.884292560E+00-0.883072843E+00-0.881847957E+00-0.880617531E+00-0.879382940E+00 --0.878142799E+00-0.876898714E+00-0.875651571E+00-0.874401224E+00-0.873147047E+00 --0.871888985E+00-0.870630798E+00-0.869370239E+00-0.868106696E+00-0.866841560E+00 --0.865574830E+00-0.864307959E+00-0.863041665E+00-0.861774847E+00-0.860508144E+00 --0.859242067E+00-0.857977656E+00-0.856714764E+00-0.855453810E+00-0.854195092E+00 --0.852938644E+00-0.851685859E+00-0.850436547E+00-0.849190782E+00-0.847949082E+00 --0.846711368E+00-0.845478851E+00-0.844252455E+00-0.843032180E+00-0.841818024E+00 --0.840609356E+00-0.839406649E+00-0.838212140E+00-0.837025818E+00-0.835847686E+00 --0.834677742E+00-0.833515986E+00-0.832362419E+00-0.831217758E+00-0.830083801E+00 --0.828960007E+00-0.827846517E+00-0.826743331E+00-0.825650675E+00-0.824569682E+00 --0.823500473E+00-0.822443047E+00-0.821398317E+00-0.820366417E+00-0.819347065E+00 --0.818340292E+00-0.817347317E+00-0.816368717E+00-0.815404493E+00-0.814454814E+00 --0.813519629E+00-0.812599404E+00-0.811694864E+00-0.810805684E+00-0.809931933E+00 --0.809074768E+00-0.808234590E+00-0.807411400E+00-0.806605034E+00-0.805815929E+00 --0.805044942E+00-0.804291953E+00-0.803556891E+00-0.802839935E+00-0.802142095E+00 --0.801463323E+00-0.800804134E+00-0.800164528E+00-0.799544505E+00-0.798944231E+00 --0.798364692E+00-0.797806061E+00-0.797268340E+00-0.796751529E+00-0.796255627E+00 --0.795780762E+00-0.795328429E+00-0.794898881E+00-0.794491764E+00-0.794107057E+00 --0.793744759E+00-0.793405693E+00-0.793090375E+00-0.792798387E+00-0.792531009E+00 --0.792288492E+00-0.792069998E+00-0.791875341E+00-0.791705428E+00-0.791559565E+00 --0.791438486E+00-0.791342798E+00-0.791272501E+00-0.791227121E+00-0.791206328E+00 --0.791210143E+00-0.791238566E+00-0.791292106E+00-0.791370634E+00-0.791474167E+00 --0.791602048E+00-0.791754162E+00-0.791930507E+00-0.792131085E+00-0.792355244E+00 --0.792602581E+00-0.792873178E+00-0.793166579E+00-0.793482345E+00-0.793820477E+00 --0.794180974E+00-0.794562930E+00-0.794965858E+00-0.795389825E+00-0.795834353E+00 --0.796298905E+00-0.796783165E+00-0.797286249E+00-0.797808973E+00-0.798350937E+00 --0.798911827E+00-0.799491680E+00-0.800090095E+00-0.800706594E+00-0.801341177E+00 --0.801993843E+00-0.802664357E+00-0.803352762E+00-0.804058674E+00-0.804781997E+00 --0.805522794E+00-0.806281067E+00-0.807056426E+00-0.807848386E+00-0.808656907E+00 --0.809482378E+00-0.810324356E+00-0.811182600E+00-0.812057183E+00-0.812948147E+00 --0.813855492E+00-0.814778844E+00-0.815717880E+00-0.816672830E+00-0.817643642E+00 --0.818630314E+00-0.819632793E+00-0.820650786E+00-0.821684251E+00-0.822733187E+00 --0.823797516E+00-0.824877266E+00-0.825972456E+00-0.827083060E+00-0.828208865E+00 --0.829349853E+00-0.830506023E+00-0.831677374E+00-0.832863941E+00-0.834065657E+00 --0.835282552E+00-0.836514640E+00-0.837761921E+00-0.839024352E+00-0.840301949E+00 --0.841594730E+00-0.842902688E+00-0.844225843E+00-0.845564279E+00-0.846917975E+00 --0.848286986E+00-0.849671424E+00-0.851071291E+00-0.852486587E+00-0.853917419E+00 --0.855363812E+00-0.856825862E+00-0.858303568E+00-0.859796928E+00-0.861306009E+00 --0.862831258E+00-0.864372675E+00-0.865930262E+00-0.867504028E+00-0.869093982E+00 --0.870700510E+00-0.872323613E+00-0.873963293E+00-0.875619550E+00-0.877292483E+00 --0.878982646E+00-0.880690087E+00-0.882414866E+00-0.884157017E+00-0.885916535E+00 --0.887693574E+00-0.889488684E+00-0.891301875E+00-0.893133023E+00-0.894982013E+00 --0.896849224E+00-0.898735399E+00-0.900640537E+00-0.902564638E+00-0.904507649E+00 --0.906469389E+00-0.908450567E+00-0.910451108E+00-0.912470969E+00-0.914510772E+00 --0.916570534E+00-0.918650256E+00-0.920749583E+00-0.922869097E+00-0.925009629E+00 --0.927171180E+00-0.929353748E+00-0.931557335E+00-0.933781939E+00-0.936027561E+00 --0.938294202E+00-0.940581860E+00-0.942890982E+00-0.945221664E+00-0.947574650E+00 --0.949949899E+00-0.952347410E+00-0.954767182E+00-0.957209216E+00-0.959673512E+00 --0.962160070E+00-0.964668890E+00-0.967199972E+00-0.969753315E+00-0.972328921E+00 --0.974924272E+00-0.977543627E+00-0.980187185E+00-0.982854947E+00-0.985546911E+00 --0.938525587E+00-0.937763030E+00-0.936987012E+00-0.936197535E+00-0.935394598E+00 --0.934578202E+00-0.933748345E+00-0.932905029E+00-0.932048253E+00-0.931178018E+00 --0.930256574E+00-0.929331972E+00-0.928403876E+00-0.927462153E+00-0.926506226E+00 --0.925539994E+00-0.924566040E+00-0.923580840E+00-0.922589303E+00-0.921586488E+00 --0.920575841E+00-0.919557633E+00-0.918531865E+00-0.917498784E+00-0.916455137E+00 --0.915402750E+00-0.914342916E+00-0.913275634E+00-0.912200906E+00-0.911118258E+00 --0.910026612E+00-0.908925953E+00-0.907817322E+00-0.906701113E+00-0.905577326E+00 --0.904445961E+00-0.903306650E+00-0.902158963E+00-0.901003741E+00-0.899841023E+00 --0.898670887E+00-0.897493921E+00-0.896309569E+00-0.895117911E+00-0.893919135E+00 --0.892713208E+00-0.891501059E+00-0.890282753E+00-0.889057971E+00-0.887827029E+00 --0.886590821E+00-0.885349348E+00-0.884102608E+00-0.882850409E+00-0.881593808E+00 --0.880333160E+00-0.879068626E+00-0.877800208E+00-0.876527904E+00-0.875251716E+00 --0.873974211E+00-0.872693631E+00-0.871411420E+00-0.870127843E+00-0.868842403E+00 --0.867555368E+00-0.866267917E+00-0.864981249E+00-0.863695356E+00-0.862409317E+00 --0.861124132E+00-0.859840613E+00-0.858558760E+00-0.857279093E+00-0.856002122E+00 --0.854727826E+00-0.853457035E+00-0.852189747E+00-0.850926779E+00-0.849668326E+00 --0.848413917E+00-0.847165620E+00-0.845923209E+00-0.844686902E+00-0.843456698E+00 --0.842232598E+00-0.841015171E+00-0.839805935E+00-0.838604960E+00-0.837412246E+00 --0.836227793E+00-0.835052322E+00-0.833885998E+00-0.832728504E+00-0.831581425E+00 --0.830445410E+00-0.829320453E+00-0.828205866E+00-0.827101583E+00-0.826009429E+00 --0.824929079E+00-0.823860786E+00-0.822805484E+00-0.821763175E+00-0.820733857E+00 --0.819717831E+00-0.818716030E+00-0.817728318E+00-0.816754918E+00-0.815795829E+00 --0.814851051E+00-0.813921778E+00-0.813008516E+00-0.812111253E+00-0.811229778E+00 --0.810365043E+00-0.809516987E+00-0.808685609E+00-0.807870841E+00-0.807073444E+00 --0.806294169E+00-0.805533014E+00-0.804789980E+00-0.804066314E+00-0.803361304E+00 --0.802674492E+00-0.802007175E+00-0.801359352E+00-0.800731023E+00-0.800123273E+00 --0.799535488E+00-0.798967855E+00-0.798421381E+00-0.797896065E+00-0.797391907E+00 --0.796908779E+00-0.796446814E+00-0.796007069E+00-0.795589733E+00-0.795194806E+00 --0.794822289E+00-0.794472181E+00-0.794144482E+00-0.793840080E+00-0.793559787E+00 --0.793303342E+00-0.793070745E+00-0.792862017E+00-0.792677503E+00-0.792516789E+00 --0.792379876E+00-0.792267449E+00-0.792180036E+00-0.792116947E+00-0.792078466E+00 --0.792064504E+00-0.792074742E+00-0.792109185E+00-0.792167879E+00-0.792251234E+00 --0.792358050E+00-0.792488281E+00-0.792642717E+00-0.792821384E+00-0.793023215E+00 --0.793247880E+00-0.793495196E+00-0.793765279E+00-0.794057472E+00-0.794371140E+00 --0.794706794E+00-0.795064108E+00-0.795441681E+00-0.795839998E+00-0.796258918E+00 --0.796698427E+00-0.797157478E+00-0.797635423E+00-0.798132263E+00-0.798647979E+00 --0.799183109E+00-0.799737387E+00-0.800309737E+00-0.800900295E+00-0.801509254E+00 --0.802136614E+00-0.802781791E+00-0.803444719E+00-0.804125144E+00-0.804822792E+00 --0.805537710E+00-0.806270184E+00-0.807019581E+00-0.807785867E+00-0.808569126E+00 --0.809369358E+00-0.810186340E+00-0.811019594E+00-0.811869117E+00-0.812734908E+00 --0.813616889E+00-0.814514573E+00-0.815428845E+00-0.816358849E+00-0.817304585E+00 --0.818266054E+00-0.819243322E+00-0.820236431E+00-0.821244946E+00-0.822269006E+00 --0.823308505E+00-0.824363443E+00-0.825433820E+00-0.826519636E+00-0.827620713E+00 --0.828736934E+00-0.829868337E+00-0.831014998E+00-0.832176872E+00-0.833353944E+00 --0.834546215E+00-0.835753580E+00-0.836976137E+00-0.838213905E+00-0.839466865E+00 --0.840734983E+00-0.842018332E+00-0.843316920E+00-0.844630748E+00-0.845959802E+00 --0.847304143E+00-0.848663999E+00-0.850039227E+00-0.851429916E+00-0.852836138E+00 --0.854257894E+00-0.855695200E+00-0.857148376E+00-0.858617147E+00-0.860101839E+00 --0.861602700E+00-0.863119675E+00-0.864652678E+00-0.866201712E+00-0.867766933E+00 --0.869348822E+00-0.870947399E+00-0.872562663E+00-0.874194616E+00-0.875843369E+00 --0.877509284E+00-0.879192474E+00-0.880892943E+00-0.882610812E+00-0.884346404E+00 --0.886099447E+00-0.887870539E+00-0.889659679E+00-0.891467081E+00-0.893292586E+00 --0.895136567E+00-0.896999511E+00-0.898881419E+00-0.900782158E+00-0.902701605E+00 --0.904640762E+00-0.906599059E+00-0.908576665E+00-0.910574120E+00-0.912591534E+00 --0.914629316E+00-0.916687079E+00-0.918763972E+00-0.920861883E+00-0.922980811E+00 --0.925120758E+00-0.927281723E+00-0.929463706E+00-0.931666707E+00-0.933891738E+00 --0.936138689E+00-0.938406776E+00-0.940695352E+00-0.943003703E+00-0.945335351E+00 --0.947690296E+00-0.950068723E+00-0.952469509E+00-0.954892556E+00-0.957337866E+00 --0.959805437E+00-0.962295270E+00-0.964807365E+00-0.967341722E+00-0.969898340E+00 --0.972476505E+00-0.975077101E+00-0.977701902E+00-0.980350905E+00-0.983024111E+00 --0.943078429E+00-0.942208375E+00-0.941324863E+00-0.940427890E+00-0.939517458E+00 --0.938593566E+00-0.937656214E+00-0.936694756E+00-0.935734326E+00-0.934776232E+00 --0.933820476E+00-0.932839305E+00-0.931852290E+00-0.930855125E+00-0.929847683E+00 --0.928835610E+00-0.927815814E+00-0.926788497E+00-0.925756907E+00-0.924717530E+00 --0.923670593E+00-0.922616096E+00-0.921554039E+00-0.920484432E+00-0.919409500E+00 --0.918327148E+00-0.917237378E+00-0.916140188E+00-0.915035580E+00-0.913923552E+00 --0.912804290E+00-0.911677840E+00-0.910543846E+00-0.909402306E+00-0.908253222E+00 --0.907096593E+00-0.905932431E+00-0.904760839E+00-0.903581793E+00-0.902395294E+00 --0.901201767E+00-0.900000786E+00-0.898792937E+00-0.897578014E+00-0.896355973E+00 --0.895127072E+00-0.893892030E+00-0.892650836E+00-0.891403617E+00-0.890150391E+00 --0.888891375E+00-0.887626932E+00-0.886357064E+00-0.885082157E+00-0.883803070E+00 --0.882519854E+00-0.881233310E+00-0.879942881E+00-0.878648607E+00-0.877351322E+00 --0.876050824E+00-0.874747231E+00-0.873442258E+00-0.872136466E+00-0.870830377E+00 --0.869522822E+00-0.868214488E+00-0.866906926E+00-0.865599855E+00-0.864293658E+00 --0.862988307E+00-0.861684523E+00-0.860382304E+00-0.859081699E+00-0.857784265E+00 --0.856490743E+00-0.855201134E+00-0.853915438E+00-0.852634558E+00-0.851357001E+00 --0.850084706E+00-0.848819227E+00-0.847560096E+00-0.846307069E+00-0.845060145E+00 --0.843819325E+00-0.842585685E+00-0.841361722E+00-0.840145463E+00-0.838937550E+00 --0.837738536E+00-0.836548421E+00-0.835367205E+00-0.834195753E+00-0.833035353E+00 --0.831886016E+00-0.830747744E+00-0.829620452E+00-0.828503938E+00-0.827400024E+00 --0.826307967E+00-0.825228725E+00-0.824162300E+00-0.823108691E+00-0.822067898E+00 --0.821040511E+00-0.820028027E+00-0.819030514E+00-0.818047521E+00-0.817078824E+00 --0.816124438E+00-0.815186024E+00-0.814263717E+00-0.813357295E+00-0.812466707E+00 --0.811592860E+00-0.810736066E+00-0.809895950E+00-0.809072526E+00-0.808266838E+00 --0.807479271E+00-0.806709850E+00-0.805958871E+00-0.805225988E+00-0.804511803E+00 --0.803817029E+00-0.803141403E+00-0.802485242E+00-0.801848603E+00-0.801231945E+00 --0.800635424E+00-0.800059017E+00-0.799503400E+00-0.798968941E+00-0.798455647E+00 --0.797963411E+00-0.797492055E+00-0.797041618E+00-0.796613605E+00-0.796208016E+00 --0.795824852E+00-0.795464111E+00-0.795125507E+00-0.794808907E+00-0.794515843E+00 --0.794245972E+00-0.793999315E+00-0.793776373E+00-0.793577020E+00-0.793401469E+00 --0.793249717E+00-0.793121606E+00-0.793017348E+00-0.792936748E+00-0.792880343E+00 --0.792848134E+00-0.792840120E+00-0.792856224E+00-0.792895783E+00-0.792958717E+00 --0.793045332E+00-0.793155409E+00-0.793288947E+00-0.793445947E+00-0.793625862E+00 --0.793828034E+00-0.794052653E+00-0.794299718E+00-0.794568754E+00-0.794859236E+00 --0.795171193E+00-0.795504312E+00-0.795857474E+00-0.796230762E+00-0.796624651E+00 --0.797039144E+00-0.797473056E+00-0.797925862E+00-0.798397770E+00-0.798888906E+00 --0.799399091E+00-0.799927966E+00-0.800475240E+00-0.801040915E+00-0.801624933E+00 --0.802226954E+00-0.802847206E+00-0.803485465E+00-0.804140996E+00-0.804813752E+00 --0.805503688E+00-0.806210920E+00-0.806935550E+00-0.807676900E+00-0.808435143E+00 --0.809210359E+00-0.810002419E+00-0.810810681E+00-0.811635211E+00-0.812476040E+00 --0.813333171E+00-0.814206520E+00-0.815096116E+00-0.816001525E+00-0.816922666E+00 --0.817859540E+00-0.818812063E+00-0.819780285E+00-0.820764187E+00-0.821763611E+00 --0.822778598E+00-0.823808974E+00-0.824854740E+00-0.825915895E+00-0.826992333E+00 --0.828083920E+00-0.829190830E+00-0.830312936E+00-0.831450240E+00-0.832602742E+00 --0.833770443E+00-0.834953343E+00-0.836151440E+00-0.837364572E+00-0.838592841E+00 --0.839836347E+00-0.841095093E+00-0.842369079E+00-0.843658303E+00-0.844962768E+00 --0.846282477E+00-0.847617607E+00-0.848968011E+00-0.850333992E+00-0.851715551E+00 --0.853112680E+00-0.854525336E+00-0.855953550E+00-0.857397706E+00-0.858857761E+00 --0.860333847E+00-0.861825966E+00-0.863334116E+00-0.864858299E+00-0.866398770E+00 --0.867955967E+00-0.869529851E+00-0.871120427E+00-0.872727697E+00-0.874351683E+00 --0.875992917E+00-0.877651530E+00-0.879327537E+00-0.881021101E+00-0.882731987E+00 --0.884460669E+00-0.886207471E+00-0.887972391E+00-0.889755553E+00-0.891557524E+00 --0.893377883E+00-0.895216978E+00-0.897074809E+00-0.898951377E+00-0.900847103E+00 --0.902762737E+00-0.904698045E+00-0.906653151E+00-0.908628070E+00-0.910622885E+00 --0.912637656E+00-0.914672194E+00-0.916727483E+00-0.918803790E+00-0.920901116E+00 --0.923019459E+00-0.925159563E+00-0.927320834E+00-0.929503242E+00-0.931706786E+00 --0.933931467E+00-0.936177284E+00-0.938442567E+00-0.940730366E+00-0.943041463E+00 --0.945375857E+00-0.947733548E+00-0.950114536E+00-0.952518560E+00-0.954944883E+00 --0.957393467E+00-0.959864313E+00-0.962357421E+00-0.964872791E+00-0.967410423E+00 --0.969970317E+00-0.972552361E+00-0.975158403E+00-0.977788648E+00-0.980443096E+00 --0.947806370E+00-0.946755703E+00-0.945707373E+00-0.944661379E+00-0.943617723E+00 --0.942576403E+00-0.941537421E+00-0.940500775E+00-0.939466466E+00-0.938434493E+00 --0.937404858E+00-0.936362384E+00-0.935313131E+00-0.934260510E+00-0.933201553E+00 --0.932141083E+00-0.931072433E+00-0.930001605E+00-0.928928597E+00-0.927852251E+00 --0.926768513E+00-0.925677215E+00-0.924578945E+00-0.923476500E+00-0.922369879E+00 --0.921257430E+00-0.920137561E+00-0.919010274E+00-0.917876600E+00-0.916737567E+00 --0.915591993E+00-0.914438749E+00-0.913278554E+00-0.912111432E+00-0.910937172E+00 --0.909755366E+00-0.908566403E+00-0.907370512E+00-0.906167186E+00-0.904956708E+00 --0.903739098E+00-0.902514166E+00-0.901282346E+00-0.900043776E+00-0.898798418E+00 --0.897546154E+00-0.896287965E+00-0.895022988E+00-0.893752086E+00-0.892475259E+00 --0.891192507E+00-0.889904934E+00-0.888611409E+00-0.887313191E+00-0.886010823E+00 --0.884704306E+00-0.883393638E+00-0.882079303E+00-0.880762136E+00-0.879441756E+00 --0.878118161E+00-0.876791598E+00-0.875463863E+00-0.874135310E+00-0.872805937E+00 --0.871476794E+00-0.870145739E+00-0.868815598E+00-0.867486370E+00-0.866158056E+00 --0.864830655E+00-0.863505329E+00-0.862182087E+00-0.860860721E+00-0.859543028E+00 --0.858229368E+00-0.856919671E+00-0.855613307E+00-0.854312659E+00-0.853016779E+00 --0.851725630E+00-0.850441184E+00-0.849163142E+00-0.847891602E+00-0.846626562E+00 --0.845368022E+00-0.844117813E+00-0.842876738E+00-0.841644043E+00-0.840420292E+00 --0.839205485E+00-0.837999622E+00-0.836803909E+00-0.835618869E+00-0.834444411E+00 --0.833280796E+00-0.832128024E+00-0.830986264E+00-0.829857249E+00-0.828739912E+00 --0.827635114E+00-0.826543845E+00-0.825465449E+00-0.824399869E+00-0.823347052E+00 --0.822308362E+00-0.821284643E+00-0.820275898E+00-0.819282124E+00-0.818303323E+00 --0.817339387E+00-0.816391196E+00-0.815458803E+00-0.814542328E+00-0.813641772E+00 --0.812758010E+00-0.811891540E+00-0.811042417E+00-0.810210242E+00-0.809396109E+00 --0.808600037E+00-0.807821534E+00-0.807061127E+00-0.806318817E+00-0.805595426E+00 --0.804891448E+00-0.804206884E+00-0.803542256E+00-0.802896487E+00-0.802270748E+00 --0.801665148E+00-0.801079685E+00-0.800514698E+00-0.799970672E+00-0.799447474E+00 --0.798945204E+00-0.798463862E+00-0.798003389E+00-0.797564612E+00-0.797148258E+00 --0.796754282E+00-0.796382134E+00-0.796031803E+00-0.795703288E+00-0.795397394E+00 --0.795114731E+00-0.794855222E+00-0.794618186E+00-0.794404659E+00-0.794213909E+00 --0.794046491E+00-0.793902655E+00-0.793782308E+00-0.793685317E+00-0.793612037E+00 --0.793562467E+00-0.793536232E+00-0.793533440E+00-0.793553934E+00-0.793597737E+00 --0.793664649E+00-0.793754525E+00-0.793867664E+00-0.794003404E+00-0.794162096E+00 --0.794343037E+00-0.794545467E+00-0.794769660E+00-0.795016334E+00-0.795283631E+00 --0.795572802E+00-0.795882276E+00-0.796211941E+00-0.796561797E+00-0.796931552E+00 --0.797321219E+00-0.797730792E+00-0.798159415E+00-0.798607088E+00-0.799073811E+00 --0.799559584E+00-0.800064408E+00-0.800587353E+00-0.801128441E+00-0.801687840E+00 --0.802265469E+00-0.802861329E+00-0.803474746E+00-0.804105639E+00-0.804754120E+00 --0.805419917E+00-0.806103031E+00-0.806803408E+00-0.807520584E+00-0.808254478E+00 --0.809005089E+00-0.809772330E+00-0.810555863E+00-0.811355824E+00-0.812172444E+00 --0.813005281E+00-0.813854336E+00-0.814719483E+00-0.815600297E+00-0.816496906E+00 --0.817409427E+00-0.818337766E+00-0.819281924E+00-0.820241785E+00-0.821216982E+00 --0.822207500E+00-0.823213430E+00-0.824234780E+00-0.825271503E+00-0.826323553E+00 --0.827390791E+00-0.828473326E+00-0.829571123E+00-0.830684029E+00-0.831812063E+00 --0.832955296E+00-0.834113727E+00-0.835287297E+00-0.836475960E+00-0.837679761E+00 --0.838898699E+00-0.840132790E+00-0.841382115E+00-0.842646680E+00-0.843926485E+00 --0.845221556E+00-0.846531921E+00-0.847857684E+00-0.849198788E+00-0.850555438E+00 --0.851927666E+00-0.853315471E+00-0.854718970E+00-0.856138185E+00-0.857573044E+00 --0.859024036E+00-0.860491172E+00-0.861974445E+00-0.863473776E+00-0.864989375E+00 --0.866521656E+00-0.868070466E+00-0.869635969E+00-0.871218165E+00-0.872817298E+00 --0.874433654E+00-0.876067342E+00-0.877718430E+00-0.879386919E+00-0.881072866E+00 --0.882776887E+00-0.884499026E+00-0.886239109E+00-0.887997795E+00-0.889775106E+00 --0.891571041E+00-0.893385926E+00-0.895219614E+00-0.897072056E+00-0.898943998E+00 --0.900835658E+00-0.902747118E+00-0.904678817E+00-0.906630471E+00-0.908602082E+00 --0.910593764E+00-0.912606431E+00-0.914640000E+00-0.916694457E+00-0.918770049E+00 --0.920866778E+00-0.922984642E+00-0.925123643E+00-0.927283781E+00-0.929465054E+00 --0.931667464E+00-0.933890303E+00-0.936134254E+00-0.938401502E+00-0.940692048E+00 --0.943005890E+00-0.945343030E+00-0.947703467E+00-0.950087201E+00-0.952494233E+00 --0.954924161E+00-0.957376020E+00-0.959850142E+00-0.962346525E+00-0.964865170E+00 --0.967406077E+00-0.969969405E+00-0.972556689E+00-0.975168176E+00-0.977803865E+00 --0.952124173E+00-0.950996455E+00-0.949873687E+00-0.948753815E+00-0.947636280E+00 --0.946521082E+00-0.945408220E+00-0.944297696E+00-0.943189508E+00-0.942083657E+00 --0.940980143E+00-0.939876365E+00-0.938769848E+00-0.937662422E+00-0.936553112E+00 --0.935441906E+00-0.934330468E+00-0.933217570E+00-0.932102493E+00-0.930985238E+00 --0.929864473E+00-0.928736613E+00-0.927606302E+00-0.926471771E+00-0.925333021E+00 --0.924189856E+00-0.923040110E+00-0.921884644E+00-0.920723690E+00-0.919557247E+00 --0.918385109E+00-0.917206147E+00-0.916020233E+00-0.914827367E+00-0.913627549E+00 --0.912420984E+00-0.911207728E+00-0.909987189E+00-0.908759627E+00-0.907524933E+00 --0.906283106E+00-0.905034171E+00-0.903778428E+00-0.902515935E+00-0.901246551E+00 --0.899970266E+00-0.898688093E+00-0.897398905E+00-0.896103783E+00-0.894802728E+00 --0.893495740E+00-0.892183049E+00-0.890865800E+00-0.889543430E+00-0.888216602E+00 --0.886885318E+00-0.885549571E+00-0.884210111E+00-0.882868056E+00-0.881523405E+00 --0.880176223E+00-0.878826732E+00-0.877475997E+00-0.876123709E+00-0.874769877E+00 --0.873414133E+00-0.872059074E+00-0.870705425E+00-0.869353185E+00-0.868002355E+00 --0.866652934E+00-0.865304924E+00-0.863958153E+00-0.862616020E+00-0.861277218E+00 --0.859941748E+00-0.858609610E+00-0.857281194E+00-0.855958916E+00-0.854642446E+00 --0.853330711E+00-0.852026269E+00-0.850729121E+00-0.849438837E+00-0.848155050E+00 --0.846878365E+00-0.845610509E+00-0.844351551E+00-0.843101489E+00-0.841860734E+00 --0.840628870E+00-0.839406638E+00-0.838195115E+00-0.836994302E+00-0.835804380E+00 --0.834626193E+00-0.833458859E+00-0.832303261E+00-0.831159665E+00-0.830028079E+00 --0.828909645E+00-0.827804920E+00-0.826713931E+00-0.825636381E+00-0.824571543E+00 --0.823521619E+00-0.822486568E+00-0.821466046E+00-0.820460027E+00-0.819468863E+00 --0.818494630E+00-0.817535585E+00-0.816592397E+00-0.815665740E+00-0.814755165E+00 --0.813861492E+00-0.812985110E+00-0.812126021E+00-0.811284224E+00-0.810460330E+00 --0.809654303E+00-0.808866371E+00-0.808096535E+00-0.807344811E+00-0.806612217E+00 --0.805899035E+00-0.805205186E+00-0.804530308E+00-0.803874996E+00-0.803239723E+00 --0.802624487E+00-0.802029407E+00-0.801454497E+00-0.800900027E+00-0.800366558E+00 --0.799854091E+00-0.799362627E+00-0.798892180E+00-0.798442835E+00-0.798015421E+00 --0.797609776E+00-0.797225949E+00-0.796863938E+00-0.796523745E+00-0.796205406E+00 --0.795910146E+00-0.795637352E+00-0.795386789E+00-0.795158460E+00-0.794953108E+00 --0.794770810E+00-0.794611567E+00-0.794475573E+00-0.794362412E+00-0.794272456E+00 --0.794205598E+00-0.794161656E+00-0.794140740E+00-0.794142852E+00-0.794167885E+00 --0.794215803E+00-0.794285944E+00-0.794378556E+00-0.794493898E+00-0.794631932E+00 --0.794791796E+00-0.794973148E+00-0.795175988E+00-0.795400002E+00-0.795644962E+00 --0.795911087E+00-0.796197557E+00-0.796504372E+00-0.796831531E+00-0.797178388E+00 --0.797544492E+00-0.797930609E+00-0.798335777E+00-0.798759994E+00-0.799203261E+00 --0.799665549E+00-0.800146342E+00-0.800645894E+00-0.801163521E+00-0.801699105E+00 --0.802252646E+00-0.802824251E+00-0.803413851E+00-0.804020904E+00-0.804645408E+00 --0.805287365E+00-0.805946774E+00-0.806622341E+00-0.807315364E+00-0.808025330E+00 --0.808752013E+00-0.809495414E+00-0.810255525E+00-0.811031975E+00-0.811824557E+00 --0.812633271E+00-0.813458118E+00-0.814298952E+00-0.815155883E+00-0.816028521E+00 --0.816916978E+00-0.817821254E+00-0.818741348E+00-0.819677186E+00-0.820628340E+00 --0.821594816E+00-0.822576613E+00-0.823573754E+00-0.824586286E+00-0.825614251E+00 --0.826657528E+00-0.827715874E+00-0.828789376E+00-0.829878045E+00-0.830981822E+00 --0.832100710E+00-0.833234707E+00-0.834383764E+00-0.835547959E+00-0.836727291E+00 --0.837921760E+00-0.839131366E+00-0.840356109E+00-0.841595988E+00-0.842851071E+00 --0.844121385E+00-0.845406910E+00-0.846707798E+00-0.848024079E+00-0.849355800E+00 --0.850703119E+00-0.852065896E+00-0.853444337E+00-0.854838469E+00-0.856248294E+00 --0.857674036E+00-0.859115927E+00-0.860573865E+00-0.862047842E+00-0.863538358E+00 --0.865045425E+00-0.866568804E+00-0.868108895E+00-0.869665697E+00-0.871239469E+00 --0.872830417E+00-0.874438741E+00-0.876064620E+00-0.877708040E+00-0.879368853E+00 --0.881047367E+00-0.882744069E+00-0.884459394E+00-0.886193345E+00-0.887945920E+00 --0.889717119E+00-0.891506943E+00-0.893315862E+00-0.895144247E+00-0.896992097E+00 --0.898859576E+00-0.900747452E+00-0.902654475E+00-0.904581800E+00-0.906529426E+00 --0.908496697E+00-0.910486333E+00-0.912497382E+00-0.914529567E+00-0.916582889E+00 --0.918657347E+00-0.920752941E+00-0.922869672E+00-0.925007539E+00-0.927166542E+00 --0.929346681E+00-0.931547014E+00-0.933770414E+00-0.936017111E+00-0.938287105E+00 --0.940580396E+00-0.942896985E+00-0.945236870E+00-0.947600053E+00-0.949986534E+00 --0.952396311E+00-0.954829386E+00-0.957285526E+00-0.959762922E+00-0.962262580E+00 --0.964784501E+00-0.967328683E+00-0.969896760E+00-0.972489489E+00-0.975106420E+00 --0.956506896E+00-0.955227117E+00-0.954030745E+00-0.952836781E+00-0.951645224E+00 --0.950456073E+00-0.949269330E+00-0.948084993E+00-0.946903064E+00-0.945723541E+00 --0.944546331E+00-0.943375288E+00-0.942209069E+00-0.941049260E+00-0.939892366E+00 --0.938735374E+00-0.937583651E+00-0.936431189E+00-0.935276326E+00-0.934119060E+00 --0.932958472E+00-0.931799012E+00-0.930634640E+00-0.929467678E+00-0.928298126E+00 --0.927125982E+00-0.925948334E+00-0.924765070E+00-0.923576321E+00-0.922382327E+00 --0.921183328E+00-0.919978575E+00-0.918766712E+00-0.917548531E+00-0.916324032E+00 --0.915093215E+00-0.913855628E+00-0.912610779E+00-0.911358838E+00-0.910099806E+00 --0.908833575E+00-0.907560425E+00-0.906280427E+00-0.904993377E+00-0.903699398E+00 --0.902398542E+00-0.901091216E+00-0.899777443E+00-0.898457313E+00-0.897131252E+00 --0.895799257E+00-0.894461315E+00-0.893118346E+00-0.891770757E+00-0.890418622E+00 --0.889062260E+00-0.887700812E+00-0.886336549E+00-0.884969434E+00-0.883599064E+00 --0.882225437E+00-0.880850062E+00-0.879473706E+00-0.878096310E+00-0.876717401E+00 --0.875336783E+00-0.873957059E+00-0.872578745E+00-0.871201841E+00-0.869826346E+00 --0.868452056E+00-0.867078947E+00-0.865708370E+00-0.864342460E+00-0.862981041E+00 --0.861623129E+00-0.860268549E+00-0.858917999E+00-0.857573329E+00-0.856234618E+00 --0.854902304E+00-0.853577277E+00-0.852259544E+00-0.850949118E+00-0.849645581E+00 --0.848350016E+00-0.847063210E+00-0.845785163E+00-0.844515875E+00-0.843257337E+00 --0.842008206E+00-0.840769048E+00-0.839540660E+00-0.838323040E+00-0.837116189E+00 --0.835922326E+00-0.834739063E+00-0.833568558E+00-0.832410382E+00-0.831264524E+00 --0.830132455E+00-0.829013962E+00-0.827908930E+00-0.826817706E+00-0.825740826E+00 --0.824678474E+00-0.823630625E+00-0.822597279E+00-0.821578804E+00-0.820576350E+00 --0.819589878E+00-0.818619359E+00-0.817665163E+00-0.816727514E+00-0.815806613E+00 --0.814902518E+00-0.814015521E+00-0.813145705E+00-0.812293547E+00-0.811459321E+00 --0.810642640E+00-0.809844566E+00-0.809065097E+00-0.808303973E+00-0.807561929E+00 --0.806838792E+00-0.806134778E+00-0.805449885E+00-0.804784634E+00-0.804139448E+00 --0.803514206E+00-0.802908948E+00-0.802323641E+00-0.801758709E+00-0.801214778E+00 --0.800691850E+00-0.800189795E+00-0.799708346E+00-0.799248191E+00-0.798809291E+00 --0.798391785E+00-0.797996105E+00-0.797622250E+00-0.797270222E+00-0.796940063E+00 --0.796632049E+00-0.796345848E+00-0.796081757E+00-0.795839895E+00-0.795620225E+00 --0.795422966E+00-0.795248761E+00-0.795097610E+00-0.794968872E+00-0.794862359E+00 --0.794778084E+00-0.794716743E+00-0.794678203E+00-0.794662209E+00-0.794669358E+00 --0.794698508E+00-0.794749660E+00-0.794822815E+00-0.794917984E+00-0.795035451E+00 --0.795174364E+00-0.795335318E+00-0.795517098E+00-0.795719705E+00-0.795943138E+00 --0.796187398E+00-0.796451568E+00-0.796736080E+00-0.797040837E+00-0.797365173E+00 --0.797708968E+00-0.798072026E+00-0.798454047E+00-0.798855328E+00-0.799275719E+00 --0.799714945E+00-0.800173000E+00-0.800649350E+00-0.801143651E+00-0.801656003E+00 --0.802186430E+00-0.802734932E+00-0.803301305E+00-0.803885132E+00-0.804486412E+00 --0.805105136E+00-0.805740539E+00-0.806393201E+00-0.807063128E+00-0.807749484E+00 --0.808452521E+00-0.809172344E+00-0.809908884E+00-0.810661791E+00-0.811430829E+00 --0.812215989E+00-0.813017123E+00-0.813834367E+00-0.814667866E+00-0.815517159E+00 --0.816382047E+00-0.817262530E+00-0.818158608E+00-0.819070389E+00-0.819997617E+00 --0.820940277E+00-0.821898321E+00-0.822871750E+00-0.823860547E+00-0.824864427E+00 --0.825883744E+00-0.826918134E+00-0.827967590E+00-0.829032068E+00-0.830111609E+00 --0.831206293E+00-0.832316121E+00-0.833440932E+00-0.834580727E+00-0.835735563E+00 --0.836905537E+00-0.838090654E+00-0.839290859E+00-0.840506114E+00-0.841736419E+00 --0.842981962E+00-0.844242647E+00-0.845518661E+00-0.846810068E+00-0.848116819E+00 --0.849438792E+00-0.850776333E+00-0.852129538E+00-0.853498405E+00-0.854883006E+00 --0.856283534E+00-0.857699885E+00-0.859132276E+00-0.860580694E+00-0.862045469E+00 --0.863526746E+00-0.865024524E+00-0.866538936E+00-0.868070129E+00-0.869618152E+00 --0.871183488E+00-0.872766170E+00-0.874366240E+00-0.875983926E+00-0.877619321E+00 --0.879272313E+00-0.880943445E+00-0.882633262E+00-0.884341763E+00-0.886068950E+00 --0.887814772E+00-0.889579182E+00-0.891363226E+00-0.893166989E+00-0.894989961E+00 --0.896832698E+00-0.898695444E+00-0.900578329E+00-0.902481527E+00-0.904404276E+00 --0.906347168E+00-0.908312017E+00-0.910298823E+00-0.912307897E+00-0.914338949E+00 --0.916391136E+00-0.918464460E+00-0.920558920E+00-0.922674516E+00-0.924811248E+00 --0.926968647E+00-0.929148198E+00-0.931351046E+00-0.933577192E+00-0.935826634E+00 --0.938099374E+00-0.940395412E+00-0.942714746E+00-0.945057378E+00-0.947423307E+00 --0.949812533E+00-0.952225057E+00-0.954660877E+00-0.957119995E+00-0.959602411E+00 --0.962105588E+00-0.964630783E+00-0.967178617E+00-0.969752587E+00-0.972350760E+00 --0.960995207E+00-0.959596033E+00-0.958222194E+00-0.956873687E+00-0.955600597E+00 --0.954340386E+00-0.953082581E+00-0.951827183E+00-0.950574193E+00-0.949323609E+00 --0.948075432E+00-0.946842839E+00-0.945622277E+00-0.944410740E+00-0.943206263E+00 --0.942007673E+00-0.940813417E+00-0.939622335E+00-0.938429375E+00-0.937234014E+00 --0.936043566E+00-0.934847947E+00-0.933652879E+00-0.932457297E+00-0.931259124E+00 --0.930058361E+00-0.928854284E+00-0.927644843E+00-0.926429918E+00-0.925209525E+00 --0.923984158E+00-0.922754076E+00-0.921517657E+00-0.920274984E+00-0.919025993E+00 --0.917770685E+00-0.916508749E+00-0.915239628E+00-0.913963453E+00-0.912680253E+00 --0.911389782E+00-0.910092099E+00-0.908787349E+00-0.907475525E+00-0.906156728E+00 --0.904830934E+00-0.903498238E+00-0.902159094E+00-0.900813503E+00-0.899461464E+00 --0.898103798E+00-0.896740210E+00-0.895371289E+00-0.893997686E+00-0.892618974E+00 --0.891235078E+00-0.889847133E+00-0.888456215E+00-0.887062173E+00-0.885664871E+00 --0.884264371E+00-0.882862179E+00-0.881458923E+00-0.880054603E+00-0.878649221E+00 --0.877243022E+00-0.875837738E+00-0.874433634E+00-0.873030710E+00-0.871628966E+00 --0.870228401E+00-0.868829121E+00-0.867433448E+00-0.866042236E+00-0.864655487E+00 --0.863273510E+00-0.861895980E+00-0.860522960E+00-0.859155899E+00-0.857794796E+00 --0.856440411E+00-0.855093617E+00-0.853753468E+00-0.852420953E+00-0.851096139E+00 --0.849780305E+00-0.848473231E+00-0.847174911E+00-0.845886312E+00-0.844608305E+00 --0.843340886E+00-0.842083903E+00-0.840837689E+00-0.839602262E+00-0.838378677E+00 --0.837167564E+00-0.835968743E+00-0.834782216E+00-0.833608352E+00-0.832448279E+00 --0.831300401E+00-0.830166752E+00-0.829047766E+00-0.827942588E+00-0.826851217E+00 --0.825776003E+00-0.824715331E+00-0.823668960E+00-0.822638285E+00-0.821623592E+00 --0.820624880E+00-0.819642344E+00-0.818676543E+00-0.817727229E+00-0.816794813E+00 --0.815879307E+00-0.814981477E+00-0.814100801E+00-0.813237833E+00-0.812392734E+00 --0.811565626E+00-0.810757067E+00-0.809967115E+00-0.809195881E+00-0.808443431E+00 --0.807709796E+00-0.806995464E+00-0.806300435E+00-0.805624865E+00-0.804969250E+00 --0.804333621E+00-0.803717976E+00-0.803122272E+00-0.802546954E+00-0.801992348E+00 --0.801458421E+00-0.800945175E+00-0.800452643E+00-0.799981399E+00-0.799531149E+00 --0.799101908E+00-0.798694273E+00-0.798308463E+00-0.797944289E+00-0.797601532E+00 --0.797280216E+00-0.796980885E+00-0.796703421E+00-0.796447826E+00-0.796214542E+00 --0.796003399E+00-0.795814233E+00-0.795647515E+00-0.795503006E+00-0.795380734E+00 --0.795280588E+00-0.795202600E+00-0.795146482E+00-0.795113034E+00-0.795101750E+00 --0.795112473E+00-0.795145203E+00-0.795199939E+00-0.795276035E+00-0.795373449E+00 --0.795492617E+00-0.795633087E+00-0.795794096E+00-0.795975643E+00-0.796177728E+00 --0.796400538E+00-0.796644256E+00-0.796907237E+00-0.797190048E+00-0.797492285E+00 --0.797814211E+00-0.798155446E+00-0.798515511E+00-0.798894703E+00-0.799292788E+00 --0.799709765E+00-0.800144659E+00-0.800598878E+00-0.801070728E+00-0.801560441E+00 --0.802068229E+00-0.802594091E+00-0.803137891E+00-0.803698493E+00-0.804276603E+00 --0.804872309E+00-0.805485238E+00-0.806115388E+00-0.806762611E+00-0.807426295E+00 --0.808106408E+00-0.808802949E+00-0.809515940E+00-0.810245308E+00-0.810991182E+00 --0.811753193E+00-0.812531314E+00-0.813325545E+00-0.814135850E+00-0.814961811E+00 --0.815803367E+00-0.816660518E+00-0.817533192E+00-0.818421382E+00-0.819325308E+00 --0.820244576E+00-0.821179068E+00-0.822128783E+00-0.823093747E+00-0.824074082E+00 --0.825069438E+00-0.826079871E+00-0.827105371E+00-0.828145938E+00-0.829201567E+00 --0.830272220E+00-0.831357854E+00-0.832458471E+00-0.833574070E+00-0.834704651E+00 --0.835850188E+00-0.837010714E+00-0.838186291E+00-0.839376918E+00-0.840582588E+00 --0.841803303E+00-0.843039155E+00-0.844290325E+00-0.845556675E+00-0.846838206E+00 --0.848134917E+00-0.849447080E+00-0.850774905E+00-0.852118380E+00-0.853477500E+00 --0.854852288E+00-0.856242859E+00-0.857649586E+00-0.859072003E+00-0.860510921E+00 --0.861966340E+00-0.863438261E+00-0.864926683E+00-0.866431606E+00-0.867953664E+00 --0.869492899E+00-0.871049357E+00-0.872623159E+00-0.874214637E+00-0.875823961E+00 --0.877451148E+00-0.879096582E+00-0.880760478E+00-0.882442962E+00-0.884144034E+00 --0.885863726E+00-0.887602714E+00-0.889360977E+00-0.891139120E+00-0.892936905E+00 --0.894754344E+00-0.896591783E+00-0.898449668E+00-0.900328740E+00-0.902225840E+00 --0.904144678E+00-0.906085472E+00-0.908048224E+00-0.910032932E+00-0.912039597E+00 --0.914068219E+00-0.916119197E+00-0.918191386E+00-0.920284712E+00-0.922399151E+00 --0.924534854E+00-0.926693854E+00-0.928876151E+00-0.931081745E+00-0.933310636E+00 --0.935562825E+00-0.937838311E+00-0.940137094E+00-0.942459175E+00-0.944804553E+00 --0.947173228E+00-0.949565200E+00-0.951980469E+00-0.954419036E+00-0.956880900E+00 --0.959366061E+00-0.961874519E+00-0.964404018E+00-0.966957470E+00-0.969536885E+00 --0.965278509E+00-0.963807309E+00-0.962361441E+00-0.960940906E+00-0.959545705E+00 --0.958175837E+00-0.956833729E+00-0.955507270E+00-0.954183218E+00-0.952861573E+00 --0.951542335E+00-0.950261032E+00-0.948998278E+00-0.947743317E+00-0.946494804E+00 --0.945254616E+00-0.944018761E+00-0.942787240E+00-0.941559345E+00-0.940334186E+00 --0.939111639E+00-0.937889256E+00-0.936665987E+00-0.935441843E+00-0.934215212E+00 --0.932985829E+00-0.931754587E+00-0.930518970E+00-0.929278698E+00-0.928034561E+00 --0.926785681E+00-0.925531988E+00-0.924272184E+00-0.923005836E+00-0.921732944E+00 --0.920453394E+00-0.919167091E+00-0.917874217E+00-0.916574130E+00-0.915266772E+00 --0.913952145E+00-0.912629976E+00-0.911300399E+00-0.909963749E+00-0.908619931E+00 --0.907268156E+00-0.905909307E+00-0.904544060E+00-0.903172415E+00-0.901794372E+00 --0.900410211E+00-0.899019412E+00-0.897623535E+00-0.896222306E+00-0.894815907E+00 --0.893404336E+00-0.891988171E+00-0.890568981E+00-0.889146818E+00-0.887721512E+00 --0.886293423E+00-0.884864181E+00-0.883432987E+00-0.882000409E+00-0.880566446E+00 --0.879131198E+00-0.877697116E+00-0.876264971E+00-0.874834765E+00-0.873406497E+00 --0.871979710E+00-0.870554541E+00-0.869133534E+00-0.867716391E+00-0.866303002E+00 --0.864893829E+00-0.863492127E+00-0.862095537E+00-0.860704319E+00-0.859318946E+00 --0.857939670E+00-0.856568508E+00-0.855205885E+00-0.853851442E+00-0.852504554E+00 --0.851167379E+00-0.849839116E+00-0.848519934E+00-0.847211344E+00-0.845913345E+00 --0.844625937E+00-0.843349819E+00-0.842085104E+00-0.840831399E+00-0.839590165E+00 --0.838361403E+00-0.837145113E+00-0.835942227E+00-0.834752066E+00-0.833575555E+00 --0.832413047E+00-0.831264118E+00-0.830129753E+00-0.829009969E+00-0.827904766E+00 --0.826814182E+00-0.825739597E+00-0.824680769E+00-0.823637598E+00-0.822610086E+00 --0.821598232E+00-0.820603247E+00-0.819625379E+00-0.818664017E+00-0.817719736E+00 --0.816792534E+00-0.815882590E+00-0.814990664E+00-0.814116657E+00-0.813260519E+00 --0.812422471E+00-0.811603224E+00-0.810802199E+00-0.810020092E+00-0.809256902E+00 --0.808512654E+00-0.807787703E+00-0.807082057E+00-0.806395809E+00-0.805729546E+00 --0.805083290E+00-0.804456983E+00-0.803850527E+00-0.803264347E+00-0.802698729E+00 --0.802153691E+00-0.801629326E+00-0.801125614E+00-0.800642820E+00-0.800181020E+00 --0.799740215E+00-0.799320578E+00-0.798922452E+00-0.798545623E+00-0.798190227E+00 --0.797856273E+00-0.797543708E+00-0.797252888E+00-0.796983911E+00-0.796736778E+00 --0.796511488E+00-0.796307983E+00-0.796125672E+00-0.795965540E+00-0.795827585E+00 --0.795711808E+00-0.795618133E+00-0.795545739E+00-0.795494662E+00-0.795465424E+00 --0.795458200E+00-0.795472778E+00-0.795509032E+00-0.795566997E+00-0.795645943E+00 --0.795745390E+00-0.795865608E+00-0.796006715E+00-0.796168360E+00-0.796350543E+00 --0.796553219E+00-0.796775441E+00-0.797017334E+00-0.797278859E+00-0.797560044E+00 --0.797860917E+00-0.798180812E+00-0.798519574E+00-0.798877141E+00-0.799253576E+00 --0.799648812E+00-0.800062348E+00-0.800494162E+00-0.800944507E+00-0.801412544E+00 --0.801898271E+00-0.802401690E+00-0.802922860E+00-0.803461410E+00-0.804017420E+00 --0.804590652E+00-0.805181106E+00-0.805788783E+00-0.806413389E+00-0.807054401E+00 --0.807711841E+00-0.808385923E+00-0.809076768E+00-0.809783584E+00-0.810506937E+00 --0.811246151E+00-0.812001259E+00-0.812772477E+00-0.813559804E+00-0.814362563E+00 --0.815180939E+00-0.816015121E+00-0.816864858E+00-0.817730149E+00-0.818610939E+00 --0.819506965E+00-0.820418214E+00-0.821344686E+00-0.822286229E+00-0.823242790E+00 --0.824214679E+00-0.825201391E+00-0.826203162E+00-0.827220019E+00-0.828251936E+00 --0.829298685E+00-0.830360247E+00-0.831436683E+00-0.832528099E+00-0.833634492E+00 --0.834755721E+00-0.835891725E+00-0.837042630E+00-0.838208585E+00-0.839389590E+00 --0.840585420E+00-0.841796349E+00-0.843022457E+00-0.844263633E+00-0.845519936E+00 --0.846791419E+00-0.848078215E+00-0.849380427E+00-0.850698139E+00-0.852031519E+00 --0.853380570E+00-0.854745252E+00-0.856125456E+00-0.857521886E+00-0.858934725E+00 --0.860363919E+00-0.861809495E+00-0.863271454E+00-0.864749795E+00-0.866245284E+00 --0.867757940E+00-0.869287835E+00-0.870835125E+00-0.872400061E+00-0.873982700E+00 --0.875583335E+00-0.877202075E+00-0.878839398E+00-0.880495721E+00-0.882170544E+00 --0.883864107E+00-0.885576713E+00-0.887308950E+00-0.889060873E+00-0.890832510E+00 --0.892624505E+00-0.894436644E+00-0.896268776E+00-0.898121615E+00-0.899994442E+00 --0.901889225E+00-0.903805965E+00-0.905744662E+00-0.907705316E+00-0.909687927E+00 --0.911692495E+00-0.913719019E+00-0.915767501E+00-0.917838127E+00-0.919930382E+00 --0.922045534E+00-0.924183982E+00-0.926345728E+00-0.928530771E+00-0.930739111E+00 --0.932970748E+00-0.935225683E+00-0.937503915E+00-0.939805466E+00-0.942130316E+00 --0.944478459E+00-0.946849895E+00-0.949244622E+00-0.951662642E+00-0.954103955E+00 --0.956568560E+00-0.959056457E+00-0.961567646E+00-0.964093643E+00-0.966659945E+00 --0.969356804E+00-0.967813576E+00-0.966295680E+00-0.964803118E+00-0.963335888E+00 --0.961893992E+00-0.960477429E+00-0.959086200E+00-0.957720303E+00-0.956337433E+00 --0.954947134E+00-0.953617121E+00-0.952313368E+00-0.951022223E+00-0.949742158E+00 --0.948468456E+00-0.947199537E+00-0.945934640E+00-0.944673441E+00-0.943416934E+00 --0.942162346E+00-0.940913526E+00-0.939663832E+00-0.938413262E+00-0.937161817E+00 --0.935908387E+00-0.934649244E+00-0.933390074E+00-0.932127165E+00-0.930859407E+00 --0.929586972E+00-0.928310506E+00-0.927028050E+00-0.925739077E+00-0.924443710E+00 --0.923140914E+00-0.921830605E+00-0.920514540E+00-0.919190825E+00-0.917859446E+00 --0.916520662E+00-0.915174056E+00-0.913820006E+00-0.912458320E+00-0.911088617E+00 --0.909710897E+00-0.908325547E+00-0.906933729E+00-0.905535551E+00-0.904130728E+00 --0.902718403E+00-0.901298691E+00-0.899873585E+00-0.898443721E+00-0.897009100E+00 --0.895569723E+00-0.894125551E+00-0.892677568E+00-0.891225632E+00-0.889769741E+00 --0.888310564E+00-0.886850609E+00-0.885389925E+00-0.883928511E+00-0.882465845E+00 --0.881001828E+00-0.879538863E+00-0.878077836E+00-0.876618762E+00-0.875161694E+00 --0.873706636E+00-0.872253925E+00-0.870804985E+00-0.869359798E+00-0.867918354E+00 --0.866482149E+00-0.865052728E+00-0.863630090E+00-0.862214029E+00-0.860803629E+00 --0.859399912E+00-0.858004703E+00-0.856618033E+00-0.855239862E+00-0.853870024E+00 --0.852510125E+00-0.851159603E+00-0.849819527E+00-0.848489939E+00-0.847170837E+00 --0.845862222E+00-0.844566298E+00-0.843281734E+00-0.842009389E+00-0.840749604E+00 --0.839502379E+00-0.838267773E+00-0.837047633E+00-0.835839959E+00-0.834646876E+00 --0.833467797E+00-0.832302854E+00-0.831153260E+00-0.830018247E+00-0.828897857E+00 --0.827793125E+00-0.826704457E+00-0.825631864E+00-0.824574983E+00-0.823533760E+00 --0.822508638E+00-0.821500689E+00-0.820509959E+00-0.819536434E+00-0.818579966E+00 --0.817640577E+00-0.816718729E+00-0.815814998E+00-0.814929386E+00-0.814061989E+00 --0.813212988E+00-0.812381803E+00-0.811569684E+00-0.810776663E+00-0.810002618E+00 --0.809247473E+00-0.808511246E+00-0.807794837E+00-0.807097895E+00-0.806420801E+00 --0.805763558E+00-0.805126165E+00-0.804508623E+00-0.803911240E+00-0.803334431E+00 --0.802778178E+00-0.802242419E+00-0.801727083E+00-0.801232670E+00-0.800759212E+00 --0.800306707E+00-0.799874890E+00-0.799464755E+00-0.799075638E+00-0.798707423E+00 --0.798360556E+00-0.798035036E+00-0.797730777E+00-0.797448092E+00-0.797187250E+00 --0.796948232E+00-0.796730555E+00-0.796534019E+00-0.796358612E+00-0.796205046E+00 --0.796073659E+00-0.795963844E+00-0.795875307E+00-0.795807967E+00-0.795761988E+00 --0.795736988E+00-0.795733663E+00-0.795752023E+00-0.795791828E+00-0.795852136E+00 --0.795932945E+00-0.796034257E+00-0.796155911E+00-0.796297654E+00-0.796460423E+00 --0.796642885E+00-0.796845018E+00-0.797066821E+00-0.797308294E+00-0.797569106E+00 --0.797849192E+00-0.798148342E+00-0.798466357E+00-0.798803239E+00-0.799158354E+00 --0.799532524E+00-0.799924927E+00-0.800335563E+00-0.800764384E+00-0.801210848E+00 --0.801675003E+00-0.802156843E+00-0.802656276E+00-0.803173294E+00-0.803707873E+00 --0.804259478E+00-0.804828036E+00-0.805413549E+00-0.806015654E+00-0.806634476E+00 --0.807270021E+00-0.807922289E+00-0.808591092E+00-0.809275840E+00-0.809976619E+00 --0.810693614E+00-0.811426477E+00-0.812175213E+00-0.812939965E+00-0.813720047E+00 --0.814516099E+00-0.815327443E+00-0.816154280E+00-0.816996671E+00-0.817854610E+00 --0.818727392E+00-0.819615446E+00-0.820518754E+00-0.821437229E+00-0.822370873E+00 --0.823319575E+00-0.824283069E+00-0.825261350E+00-0.826254420E+00-0.827262652E+00 --0.828285528E+00-0.829323216E+00-0.830375717E+00-0.831442964E+00-0.832525111E+00 --0.833622038E+00-0.834733739E+00-0.835860191E+00-0.837001473E+00-0.838157665E+00 --0.839328644E+00-0.840514472E+00-0.841715357E+00-0.842931317E+00-0.844162351E+00 --0.845408459E+00-0.846669643E+00-0.847946116E+00-0.849238068E+00-0.850545503E+00 --0.851868421E+00-0.853206822E+00-0.854560706E+00-0.855930371E+00-0.857316436E+00 --0.858718915E+00-0.860137809E+00-0.861573126E+00-0.863024760E+00-0.864493099E+00 --0.865978601E+00-0.867481598E+00-0.869002081E+00-0.870539797E+00-0.872095174E+00 --0.873668681E+00-0.875260486E+00-0.876870745E+00-0.878499651E+00-0.880147419E+00 --0.881814467E+00-0.883500711E+00-0.885206462E+00-0.886931761E+00-0.888677136E+00 --0.890442868E+00-0.892229344E+00-0.894036317E+00-0.895865349E+00-0.897713387E+00 --0.899583355E+00-0.901475255E+00-0.903389085E+00-0.905324846E+00-0.907282538E+00 --0.909262161E+00-0.911263715E+00-0.913287200E+00-0.915332780E+00-0.917403635E+00 --0.919498142E+00-0.921615871E+00-0.923756893E+00-0.925921207E+00-0.928108813E+00 --0.930319711E+00-0.932553902E+00-0.934811385E+00-0.937092161E+00-0.939396229E+00 --0.941723589E+00-0.944074242E+00-0.946448187E+00-0.948845425E+00-0.951265954E+00 --0.953705041E+00-0.956161250E+00-0.958645256E+00-0.961157059E+00-0.963701529E+00 --0.973230091E+00-0.971614835E+00-0.970024911E+00-0.968460321E+00-0.966921064E+00 --0.965407140E+00-0.963918549E+00-0.962455292E+00-0.961017367E+00-0.959604776E+00 --0.958261411E+00-0.956916912E+00-0.955579885E+00-0.954254181E+00-0.952940410E+00 --0.951634236E+00-0.950334681E+00-0.949042238E+00-0.947754873E+00-0.946472587E+00 --0.945195149E+00-0.943919190E+00-0.942643484E+00-0.941367925E+00-0.940092512E+00 --0.938817245E+00-0.937539800E+00-0.936257392E+00-0.934971468E+00-0.933681842E+00 --0.932388185E+00-0.931090376E+00-0.929785596E+00-0.928474747E+00-0.927157321E+00 --0.925832606E+00-0.924500603E+00-0.923161116E+00-0.921813884E+00-0.920459003E+00 --0.919096499E+00-0.917725415E+00-0.916345696E+00-0.914958095E+00-0.913562536E+00 --0.912158856E+00-0.910747240E+00-0.909328668E+00-0.907902687E+00-0.906469203E+00 --0.905028217E+00-0.903579729E+00-0.902125347E+00-0.900666251E+00-0.899201923E+00 --0.897732232E+00-0.896257202E+00-0.894777666E+00-0.893295079E+00-0.891808133E+00 --0.890317760E+00-0.888826657E+00-0.887334825E+00-0.885842264E+00-0.884348964E+00 --0.882854355E+00-0.881359730E+00-0.879868236E+00-0.878378899E+00-0.876891571E+00 --0.875406254E+00-0.873922948E+00-0.872445335E+00-0.870972104E+00-0.869501508E+00 --0.868037584E+00-0.866580444E+00-0.865130086E+00-0.863686553E+00-0.862249454E+00 --0.860820238E+00-0.859400055E+00-0.857988209E+00-0.856584700E+00-0.855190299E+00 --0.853806365E+00-0.852432937E+00-0.851070551E+00-0.849718652E+00-0.848377255E+00 --0.847047666E+00-0.845730627E+00-0.844426138E+00-0.843134208E+00-0.841854839E+00 --0.840588573E+00-0.839335941E+00-0.838096736E+00-0.836871374E+00-0.835660910E+00 --0.834465341E+00-0.833284670E+00-0.832118067E+00-0.830966904E+00-0.829831211E+00 --0.828711582E+00-0.827608018E+00-0.826520519E+00-0.825449395E+00-0.824394131E+00 --0.823355854E+00-0.822334796E+00-0.821330957E+00-0.820344335E+00-0.819374932E+00 --0.818423377E+00-0.817489608E+00-0.816573869E+00-0.815676343E+00-0.814797030E+00 --0.813935930E+00-0.813093201E+00-0.812269550E+00-0.811464996E+00-0.810679538E+00 --0.809913178E+00-0.809166231E+00-0.808438644E+00-0.807730380E+00-0.807042080E+00 --0.806373751E+00-0.805725273E+00-0.805096646E+00-0.804488071E+00-0.803900071E+00 --0.803332416E+00-0.802785132E+00-0.802258205E+00-0.801751996E+00-0.801266736E+00 --0.800802178E+00-0.800358441E+00-0.799935828E+00-0.799534023E+00-0.799153341E+00 --0.798793724E+00-0.798455275E+00-0.798138170E+00-0.797842072E+00-0.797567522E+00 --0.797314375E+00-0.797082360E+00-0.796871486E+00-0.796681756E+00-0.796513167E+00 --0.796365858E+00-0.796239948E+00-0.796135457E+00-0.796052391E+00-0.795990345E+00 --0.795949154E+00-0.795928817E+00-0.795928980E+00-0.795950338E+00-0.795992274E+00 --0.796054788E+00-0.796137879E+00-0.796241547E+00-0.796364855E+00-0.796508060E+00 --0.796671063E+00-0.796853774E+00-0.797056193E+00-0.797278201E+00-0.797518980E+00 --0.797779073E+00-0.798058142E+00-0.798356038E+00-0.798672612E+00-0.799007296E+00 --0.799360753E+00-0.799732508E+00-0.800122410E+00-0.800530460E+00-0.800955820E+00 --0.801399602E+00-0.801860327E+00-0.802338638E+00-0.802834535E+00-0.803348017E+00 --0.803878324E+00-0.804425496E+00-0.804989648E+00-0.805570475E+00-0.806167778E+00 --0.806781474E+00-0.807411859E+00-0.808058795E+00-0.808721720E+00-0.809400629E+00 --0.810095587E+00-0.810806505E+00-0.811533421E+00-0.812275821E+00-0.813033804E+00 --0.813807726E+00-0.814596954E+00-0.815401487E+00-0.816221327E+00-0.817056317E+00 --0.817906562E+00-0.818771783E+00-0.819652173E+00-0.820547731E+00-0.821458457E+00 --0.822383974E+00-0.823324273E+00-0.824279359E+00-0.825249234E+00-0.826233852E+00 --0.827232954E+00-0.828246720E+00-0.829275290E+00-0.830318645E+00-0.831376703E+00 --0.832449398E+00-0.833536831E+00-0.834638995E+00-0.835755641E+00-0.836887023E+00 --0.838033193E+00-0.839193919E+00-0.840369583E+00-0.841560320E+00-0.842766148E+00 --0.843986664E+00-0.845221757E+00-0.846471902E+00-0.847737537E+00-0.849018648E+00 --0.850315234E+00-0.851627314E+00-0.852954917E+00-0.854298036E+00-0.855657320E+00 --0.857032865E+00-0.858424565E+00-0.859832458E+00-0.861256546E+00-0.862697542E+00 --0.864155834E+00-0.865630968E+00-0.867123072E+00-0.868633210E+00-0.870161151E+00 --0.871707090E+00-0.873271264E+00-0.874853950E+00-0.876455215E+00-0.878075354E+00 --0.879714646E+00-0.881373537E+00-0.883052273E+00-0.884751121E+00-0.886470093E+00 --0.888209336E+00-0.889968849E+00-0.891749055E+00-0.893551375E+00-0.895375388E+00 --0.897219960E+00-0.899086463E+00-0.900974897E+00-0.902885262E+00-0.904817557E+00 --0.906771784E+00-0.908747941E+00-0.910746030E+00-0.912766699E+00-0.914813186E+00 --0.916885828E+00-0.918982924E+00-0.921103162E+00-0.923246694E+00-0.925413517E+00 --0.927603633E+00-0.929817041E+00-0.932053742E+00-0.934313735E+00-0.936597020E+00 --0.938903598E+00-0.941233468E+00-0.943586631E+00-0.945951391E+00-0.948337867E+00 --0.950752139E+00-0.953194209E+00-0.955664076E+00-0.958161739E+00-0.960687200E+00 --0.976898371E+00-0.975211086E+00-0.973549135E+00-0.971912517E+00-0.970306464E+00 --0.968755025E+00-0.967240417E+00-0.965762640E+00-0.964321694E+00-0.962917578E+00 --0.961550293E+00-0.960174068E+00-0.958798828E+00-0.957437801E+00-0.956090324E+00 --0.954757238E+00-0.953433550E+00-0.952114071E+00-0.950803335E+00-0.949502404E+00 --0.948200743E+00-0.946900416E+00-0.945603265E+00-0.944307844E+00-0.943012569E+00 --0.941717667E+00-0.940421035E+00-0.939119973E+00-0.937814482E+00-0.936504563E+00 --0.935190214E+00-0.933871327E+00-0.932546935E+00-0.931215256E+00-0.929876287E+00 --0.928530031E+00-0.927176485E+00-0.925815652E+00-0.924445022E+00-0.923067047E+00 --0.921681228E+00-0.920285601E+00-0.918880168E+00-0.917465881E+00-0.916043692E+00 --0.914613552E+00-0.913176106E+00-0.911730314E+00-0.910274302E+00-0.908810957E+00 --0.907340355E+00-0.905862497E+00-0.904377321E+00-0.902886678E+00-0.901390935E+00 --0.899890069E+00-0.898383756E+00-0.896872103E+00-0.895355112E+00-0.893836531E+00 --0.892315141E+00-0.890792710E+00-0.889268645E+00-0.887742945E+00-0.886215612E+00 --0.884686646E+00-0.883158339E+00-0.881633234E+00-0.880111332E+00-0.878592634E+00 --0.877077138E+00-0.875564175E+00-0.874054583E+00-0.872550204E+00-0.871051605E+00 --0.869559368E+00-0.868073495E+00-0.866593986E+00-0.865120841E+00-0.863654532E+00 --0.862197771E+00-0.860750184E+00-0.859311845E+00-0.857883517E+00-0.856464167E+00 --0.855055852E+00-0.853658094E+00-0.852271048E+00-0.850896203E+00-0.849532385E+00 --0.848181118E+00-0.846842401E+00-0.845516548E+00-0.844203507E+00-0.842904101E+00 --0.841618329E+00-0.840346191E+00-0.839087965E+00-0.837844916E+00-0.836616764E+00 --0.835403578E+00-0.834205419E+00-0.833022344E+00-0.831855340E+00-0.830704003E+00 --0.829568739E+00-0.828449547E+00-0.827346427E+00-0.826260421E+00-0.825191459E+00 --0.824139391E+00-0.823104572E+00-0.822087002E+00-0.821086682E+00-0.820104435E+00 --0.819140068E+00-0.818193336E+00-0.817265330E+00-0.816355705E+00-0.815464293E+00 --0.814591093E+00-0.813736775E+00-0.812901591E+00-0.812085460E+00-0.811288294E+00 --0.810510523E+00-0.809752145E+00-0.809013162E+00-0.808293600E+00-0.807593903E+00 --0.806914166E+00-0.806254388E+00-0.805614570E+00-0.804994757E+00-0.804395210E+00 --0.803816051E+00-0.803257270E+00-0.802718861E+00-0.802200911E+00-0.801703729E+00 --0.801227247E+00-0.800771564E+00-0.800336696E+00-0.799922405E+00-0.799528890E+00 --0.799156445E+00-0.798805064E+00-0.798474747E+00-0.798165675E+00-0.797877313E+00 --0.797609882E+00-0.797363676E+00-0.797138609E+00-0.796934680E+00-0.796751866E+00 --0.796589739E+00-0.796448342E+00-0.796328316E+00-0.796229347E+00-0.796151109E+00 --0.796093677E+00-0.796056628E+00-0.796040307E+00-0.796044565E+00-0.796068793E+00 --0.796113438E+00-0.796178661E+00-0.796264381E+00-0.796369688E+00-0.796494400E+00 --0.796638519E+00-0.796802207E+00-0.796985666E+00-0.797188313E+00-0.797410109E+00 --0.797650944E+00-0.797910252E+00-0.798188590E+00-0.798485440E+00-0.798800644E+00 --0.799134203E+00-0.799485797E+00-0.799855456E+00-0.800243002E+00-0.800648245E+00 --0.801071467E+00-0.801512369E+00-0.801970340E+00-0.802445379E+00-0.802937642E+00 --0.803447589E+00-0.803973553E+00-0.804516881E+00-0.805076686E+00-0.805652967E+00 --0.806245725E+00-0.806854745E+00-0.807480078E+00-0.808121537E+00-0.808779122E+00 --0.809452726E+00-0.810141807E+00-0.810847016E+00-0.811567844E+00-0.812304260E+00 --0.813056081E+00-0.813823180E+00-0.814605584E+00-0.815403276E+00-0.816216114E+00 --0.817044265E+00-0.817887318E+00-0.818745090E+00-0.819617735E+00-0.820505544E+00 --0.821407875E+00-0.822325118E+00-0.823257416E+00-0.824204198E+00-0.825165464E+00 --0.826141215E+00-0.827131450E+00-0.828136168E+00-0.829155547E+00-0.830189763E+00 --0.831238219E+00-0.832301498E+00-0.833379222E+00-0.834471322E+00-0.835577796E+00 --0.836699066E+00-0.837834691E+00-0.838985257E+00-0.840150797E+00-0.841330913E+00 --0.842525607E+00-0.843734878E+00-0.844958757E+00-0.846197878E+00-0.847452474E+00 --0.848722545E+00-0.850008092E+00-0.851308933E+00-0.852624877E+00-0.853956326E+00 --0.855304090E+00-0.856668170E+00-0.858048530E+00-0.859445071E+00-0.860858475E+00 --0.862288558E+00-0.863735286E+00-0.865199011E+00-0.866680789E+00-0.868180622E+00 --0.869698165E+00-0.871234150E+00-0.872788699E+00-0.874361812E+00-0.875953495E+00 --0.877564509E+00-0.879195401E+00-0.880846168E+00-0.882516813E+00-0.884207650E+00 --0.885919800E+00-0.887651997E+00-0.889404707E+00-0.891179645E+00-0.892976810E+00 --0.894796093E+00-0.896637200E+00-0.898500237E+00-0.900385205E+00-0.902292104E+00 --0.904220934E+00-0.906171695E+00-0.908143998E+00-0.910139959E+00-0.912162076E+00 --0.914210350E+00-0.916284780E+00-0.918384311E+00-0.920507059E+00-0.922653100E+00 --0.924822434E+00-0.927015059E+00-0.929230977E+00-0.931470188E+00-0.933732691E+00 --0.936017805E+00-0.938306750E+00-0.940623493E+00-0.942968032E+00-0.945340368E+00 --0.947740501E+00-0.950168431E+00-0.952624159E+00-0.955107683E+00-0.957619004E+00 --0.980385350E+00-0.978656112E+00-0.976963706E+00-0.975308130E+00-0.973689386E+00 --0.972107472E+00-0.970562389E+00-0.969054137E+00-0.967582716E+00-0.966148125E+00 --0.964750366E+00-0.963348728E+00-0.961949702E+00-0.960563436E+00-0.959191704E+00 --0.957832917E+00-0.956483972E+00-0.955144830E+00-0.953815494E+00-0.952494372E+00 --0.951175860E+00-0.949859490E+00-0.948545260E+00-0.947233172E+00-0.945918069E+00 --0.944605931E+00-0.943290645E+00-0.941970984E+00-0.940647461E+00-0.939320189E+00 --0.937989166E+00-0.936654026E+00-0.935311365E+00-0.933960625E+00-0.932601804E+00 --0.931234903E+00-0.929859922E+00-0.928476861E+00-0.927085508E+00-0.925684952E+00 --0.924274591E+00-0.922854422E+00-0.921424447E+00-0.919984665E+00-0.918535827E+00 --0.917079050E+00-0.915612826E+00-0.914137180E+00-0.912652132E+00-0.911157988E+00 --0.909656856E+00-0.908148468E+00-0.906631024E+00-0.905107313E+00-0.903578502E+00 --0.902044593E+00-0.900505584E+00-0.898961120E+00-0.897410553E+00-0.895855333E+00 --0.894298958E+00-0.892741519E+00-0.891183008E+00-0.889622950E+00-0.888061259E+00 --0.886497934E+00-0.884935946E+00-0.883377183E+00-0.881821624E+00-0.880269254E+00 --0.878719992E+00-0.877173951E+00-0.875631060E+00-0.874093210E+00-0.872562925E+00 --0.871040223E+00-0.869524587E+00-0.868015314E+00-0.866512406E+00-0.865016888E+00 --0.863532595E+00-0.862056720E+00-0.860590679E+00-0.859134860E+00-0.857689537E+00 --0.856255239E+00-0.854832221E+00-0.853421191E+00-0.852021958E+00-0.850634887E+00 --0.849260149E+00-0.847898162E+00-0.846550748E+00-0.845216430E+00-0.843895947E+00 --0.842589710E+00-0.841297718E+00-0.840020633E+00-0.838759110E+00-0.837512572E+00 --0.836281019E+00-0.835064450E+00-0.833863629E+00-0.832679690E+00-0.831512452E+00 --0.830361305E+00-0.829226230E+00-0.828107646E+00-0.827006611E+00-0.825923157E+00 --0.824857038E+00-0.823808168E+00-0.822776567E+00-0.821762948E+00-0.820767354E+00 --0.819789785E+00-0.818830312E+00-0.817889433E+00-0.816967198E+00-0.816063606E+00 --0.815178479E+00-0.814312106E+00-0.813464674E+00-0.812636636E+00-0.811827992E+00 --0.811038742E+00-0.810268887E+00-0.809518426E+00-0.808787369E+00-0.808076252E+00 --0.807385024E+00-0.806713788E+00-0.806062545E+00-0.805431294E+00-0.804820159E+00 --0.804229403E+00-0.803659032E+00-0.803109068E+00-0.802579499E+00-0.802070386E+00 --0.801581979E+00-0.801114259E+00-0.800667137E+00-0.800240591E+00-0.799834622E+00 --0.799449358E+00-0.799085148E+00-0.798742003E+00-0.798419326E+00-0.798117660E+00 --0.797836840E+00-0.797576553E+00-0.797337403E+00-0.797119392E+00-0.796922199E+00 --0.796745533E+00-0.796589393E+00-0.796453905E+00-0.796338837E+00-0.796244933E+00 --0.796171651E+00-0.796118673E+00-0.796086099E+00-0.796073769E+00-0.796081399E+00 --0.796108989E+00-0.796156446E+00-0.796224227E+00-0.796311554E+00-0.796418349E+00 --0.796544639E+00-0.796690455E+00-0.796855651E+00-0.797039822E+00-0.797242967E+00 --0.797464991E+00-0.797705379E+00-0.797964666E+00-0.798242220E+00-0.798538041E+00 --0.798852129E+00-0.799184563E+00-0.799534761E+00-0.799902682E+00-0.800288335E+00 --0.800691720E+00-0.801112636E+00-0.801550594E+00-0.802005621E+00-0.802477715E+00 --0.802966784E+00-0.803472601E+00-0.803995293E+00-0.804534571E+00-0.805090435E+00 --0.805662575E+00-0.806250880E+00-0.806855547E+00-0.807476124E+00-0.808112612E+00 --0.808765010E+00-0.809433154E+00-0.810116865E+00-0.810816161E+00-0.811531045E+00 --0.812261166E+00-0.813006507E+00-0.813767289E+00-0.814543212E+00-0.815334277E+00 --0.816140408E+00-0.816961289E+00-0.817796888E+00-0.818647206E+00-0.819512267E+00 --0.820392259E+00-0.821286834E+00-0.822195893E+00-0.823119436E+00-0.824057463E+00 --0.825009975E+00-0.825976970E+00-0.826958450E+00-0.827954414E+00-0.828964337E+00 --0.829988906E+00-0.831027687E+00-0.832080843E+00-0.833148375E+00-0.834230282E+00 --0.835326564E+00-0.836437232E+00-0.837562438E+00-0.838702204E+00-0.839856531E+00 --0.841025418E+00-0.842208865E+00-0.843406872E+00-0.844619674E+00-0.845847689E+00 --0.847090812E+00-0.848349044E+00-0.849622384E+00-0.850910832E+00-0.852214418E+00 --0.853534003E+00-0.854869904E+00-0.856222108E+00-0.857590153E+00-0.858974587E+00 --0.860376231E+00-0.861794553E+00-0.863229899E+00-0.864682699E+00-0.866153298E+00 --0.867642097E+00-0.869149097E+00-0.870674297E+00-0.872218275E+00-0.873781287E+00 --0.875363761E+00-0.876965382E+00-0.878587239E+00-0.880229370E+00-0.881891776E+00 --0.883574129E+00-0.885277944E+00-0.887003272E+00-0.888750828E+00-0.890520612E+00 --0.892312623E+00-0.894127465E+00-0.895965105E+00-0.897824677E+00-0.899706180E+00 --0.901609613E+00-0.903534978E+00-0.905480966E+00-0.907452558E+00-0.909450306E+00 --0.911474210E+00-0.913524272E+00-0.915600489E+00-0.917702304E+00-0.919827563E+00 --0.921976113E+00-0.924147956E+00-0.926343092E+00-0.928551907E+00-0.930771119E+00 --0.933018128E+00-0.935292933E+00-0.937595536E+00-0.939925936E+00-0.942284133E+00 --0.944670126E+00-0.947083917E+00-0.949525505E+00-0.951994890E+00-0.954492071E+00 --0.983748875E+00-0.982006544E+00-0.980297863E+00-0.978622833E+00-0.976981454E+00 --0.975371109E+00-0.973795551E+00-0.972256824E+00-0.970754928E+00-0.969289862E+00 --0.967861628E+00-0.966434578E+00-0.965017380E+00-0.963617719E+00-0.962233692E+00 --0.960859640E+00-0.959493855E+00-0.958136113E+00-0.956791752E+00-0.955455056E+00 --0.954120501E+00-0.952788087E+00-0.951459455E+00-0.950135576E+00-0.948809015E+00 --0.947481828E+00-0.946152982E+00-0.944818542E+00-0.943479437E+00-0.942136582E+00 --0.940789977E+00-0.939438527E+00-0.938077503E+00-0.936708399E+00-0.935331043E+00 --0.933945579E+00-0.932552156E+00-0.931150182E+00-0.929736293E+00-0.928310997E+00 --0.926876549E+00-0.925432096E+00-0.923977637E+00-0.922513172E+00-0.921038907E+00 --0.919553846E+00-0.918057746E+00-0.916552246E+00-0.915037344E+00-0.913513042E+00 --0.911979338E+00-0.910438465E+00-0.908888754E+00-0.907331953E+00-0.905769357E+00 --0.904200647E+00-0.902625823E+00-0.901044883E+00-0.899457830E+00-0.897865670E+00 --0.896272147E+00-0.894677560E+00-0.893081909E+00-0.891485194E+00-0.889887416E+00 --0.888288005E+00-0.886689965E+00-0.885095756E+00-0.883504767E+00-0.881916999E+00 --0.880332450E+00-0.878751122E+00-0.877173168E+00-0.875602114E+00-0.874038625E+00 --0.872482700E+00-0.870934340E+00-0.869393544E+00-0.867860304E+00-0.866335679E+00 --0.864820784E+00-0.863316110E+00-0.861821655E+00-0.860337422E+00-0.858863910E+00 --0.857402935E+00-0.855953903E+00-0.854516815E+00-0.853092282E+00-0.851681307E+00 --0.850282488E+00-0.848897522E+00-0.847526949E+00-0.846170808E+00-0.844829035E+00 --0.843500958E+00-0.842188265E+00-0.840891352E+00-0.839610220E+00-0.838344869E+00 --0.837094905E+00-0.835860124E+00-0.834641951E+00-0.833440668E+00-0.832256275E+00 --0.831088983E+00-0.829937973E+00-0.828804147E+00-0.827687905E+00-0.826589139E+00 --0.825508076E+00-0.824444783E+00-0.823399543E+00-0.822372357E+00-0.821363224E+00 --0.820372145E+00-0.819399496E+00-0.818445830E+00-0.817510896E+00-0.816594695E+00 --0.815697226E+00-0.814818548E+00-0.813958818E+00-0.813118897E+00-0.812298590E+00 --0.811497680E+00-0.810716165E+00-0.809954047E+00-0.809211325E+00-0.808488512E+00 --0.807785765E+00-0.807103065E+00-0.806440383E+00-0.805797694E+00-0.805175025E+00 --0.804572673E+00-0.803990705E+00-0.803429090E+00-0.802887822E+00-0.802366902E+00 --0.801866374E+00-0.801386527E+00-0.800927150E+00-0.800488349E+00-0.800070125E+00 --0.799672462E+00-0.799295482E+00-0.798939294E+00-0.798603781E+00-0.798288981E+00 --0.797994815E+00-0.797721222E+00-0.797468201E+00-0.797235895E+00-0.797024171E+00 --0.796833000E+00-0.796662382E+00-0.796512311E+00-0.796382246E+00-0.796272730E+00 --0.796183660E+00-0.796115034E+00-0.796066727E+00-0.796038297E+00-0.796029715E+00 --0.796040981E+00-0.796071653E+00-0.796121934E+00-0.796192106E+00-0.796281555E+00 --0.796390475E+00-0.796518865E+00-0.796666203E+00-0.796832381E+00-0.797017515E+00 --0.797221180E+00-0.797443199E+00-0.797683686E+00-0.797942724E+00-0.798220029E+00 --0.798515600E+00-0.798829439E+00-0.799160988E+00-0.799509816E+00-0.799875923E+00 --0.800259473E+00-0.800660998E+00-0.801079327E+00-0.801514406E+00-0.801967029E+00 --0.802436429E+00-0.802922606E+00-0.803425268E+00-0.803944304E+00-0.804480043E+00 --0.805032016E+00-0.805600224E+00-0.806184302E+00-0.806784309E+00-0.807400234E+00 --0.808032025E+00-0.808679568E+00-0.809342561E+00-0.810020990E+00-0.810714714E+00 --0.811423531E+00-0.812147885E+00-0.812887237E+00-0.813641542E+00-0.814410805E+00 --0.815195043E+00-0.815994108E+00-0.816807811E+00-0.817636152E+00-0.818479131E+00 --0.819336748E+00-0.820208522E+00-0.821094734E+00-0.821995430E+00-0.822910610E+00 --0.823840241E+00-0.824784098E+00-0.825742148E+00-0.826714392E+00-0.827700804E+00 --0.828701191E+00-0.829715971E+00-0.830744837E+00-0.831787745E+00-0.832844965E+00 --0.833916560E+00-0.835001953E+00-0.836101648E+00-0.837215903E+00-0.838344719E+00 --0.839487888E+00-0.840645191E+00-0.841816626E+00-0.843002385E+00-0.844203101E+00 --0.845418817E+00-0.846649531E+00-0.847895245E+00-0.849155988E+00-0.850432049E+00 --0.851723503E+00-0.853031025E+00-0.854354181E+00-0.855692955E+00-0.857047751E+00 --0.858419717E+00-0.859808906E+00-0.861215260E+00-0.862638529E+00-0.864079613E+00 --0.865538748E+00-0.867015934E+00-0.868511170E+00-0.870024608E+00-0.871557929E+00 --0.873111042E+00-0.874683345E+00-0.876275780E+00-0.877888566E+00-0.879521895E+00 --0.881174485E+00-0.882847526E+00-0.884544661E+00-0.886264925E+00-0.888007327E+00 --0.889771956E+00-0.891558814E+00-0.893369502E+00-0.895203677E+00-0.897059783E+00 --0.898937820E+00-0.900836208E+00-0.902757274E+00-0.904704496E+00-0.906677875E+00 --0.908677411E+00-0.910703103E+00-0.912754952E+00-0.914832957E+00-0.916936904E+00 --0.919064672E+00-0.921195018E+00-0.923344496E+00-0.925521772E+00-0.927726844E+00 --0.929959713E+00-0.932220380E+00-0.934508843E+00-0.936825103E+00-0.939169161E+00 --0.941541015E+00-0.943940666E+00-0.946368115E+00-0.948823360E+00-0.951306402E+00 --0.986950748E+00-0.985182204E+00-0.983455697E+00-0.981768740E+00-0.980115433E+00 --0.978495776E+00-0.976909771E+00-0.975357416E+00-0.973838712E+00-0.972353658E+00 --0.970902255E+00-0.969453301E+00-0.968022653E+00-0.966609078E+00-0.965212351E+00 --0.963827354E+00-0.962450765E+00-0.961083969E+00-0.959727140E+00-0.958377448E+00 --0.957032480E+00-0.955692234E+00-0.954356712E+00-0.953022133E+00-0.951685238E+00 --0.950346218E+00-0.949005312E+00-0.947660499E+00-0.946310549E+00-0.944955460E+00 --0.943595232E+00-0.942226925E+00-0.940849422E+00-0.939463502E+00-0.938069622E+00 --0.936667782E+00-0.935257659E+00-0.933835987E+00-0.932401927E+00-0.930955480E+00 --0.929496683E+00-0.928027213E+00-0.926547737E+00-0.925058255E+00-0.923557038E+00 --0.922042860E+00-0.920515802E+00-0.918978101E+00-0.917431231E+00-0.915875193E+00 --0.914309985E+00-0.912735514E+00-0.911151671E+00-0.909557888E+00-0.907957525E+00 --0.906351268E+00-0.904739117E+00-0.903121072E+00-0.901497469E+00-0.899869224E+00 --0.898237483E+00-0.896603777E+00-0.894968106E+00-0.893330471E+00-0.891691865E+00 --0.890055259E+00-0.888420541E+00-0.886787300E+00-0.885157153E+00-0.883531172E+00 --0.881909358E+00-0.880291712E+00-0.878679630E+00-0.877075016E+00-0.875477531E+00 --0.873887303E+00-0.872304331E+00-0.870728615E+00-0.869161888E+00-0.867606033E+00 --0.866060903E+00-0.864526127E+00-0.863001510E+00-0.861487144E+00-0.859984838E+00 --0.858495638E+00-0.857019542E+00-0.855556551E+00-0.854106133E+00-0.852669618E+00 --0.851247200E+00-0.849838958E+00-0.848444887E+00-0.847065490E+00-0.845699391E+00 --0.844350897E+00-0.843018182E+00-0.841701246E+00-0.840400090E+00-0.839114712E+00 --0.837845114E+00-0.836592229E+00-0.835356349E+00-0.834137365E+00-0.832935278E+00 --0.831751335E+00-0.830584272E+00-0.829434532E+00-0.828302114E+00-0.827187510E+00 --0.826091489E+00-0.825014054E+00-0.823954688E+00-0.822913290E+00-0.821889996E+00 --0.820885703E+00-0.819899922E+00-0.818932887E+00-0.817985196E+00-0.817056275E+00 --0.816146084E+00-0.815255118E+00-0.814383800E+00-0.813531740E+00-0.812699313E+00 --0.811886518E+00-0.811093295E+00-0.810319476E+00-0.809565053E+00-0.808830685E+00 --0.808116462E+00-0.807422265E+00-0.806748094E+00-0.806093948E+00-0.805459815E+00 --0.804845836E+00-0.804252174E+00-0.803678859E+00-0.803125884E+00-0.802593250E+00 --0.802080956E+00-0.801588885E+00-0.801117327E+00-0.800666358E+00-0.800235970E+00 --0.799826164E+00-0.799436897E+00-0.799067928E+00-0.798719614E+00-0.798391772E+00 --0.798084256E+00-0.797797342E+00-0.797530805E+00-0.797284590E+00-0.797058865E+00 --0.796853693E+00-0.796669075E+00-0.796504618E+00-0.796359921E+00-0.796235204E+00 --0.796130925E+00-0.796047091E+00-0.795983175E+00-0.795939045E+00-0.795914751E+00 --0.795909759E+00-0.795924372E+00-0.795958171E+00-0.796012124E+00-0.796084990E+00 --0.796176770E+00-0.796287671E+00-0.796417829E+00-0.796566485E+00-0.796734218E+00 --0.796920303E+00-0.797124742E+00-0.797347534E+00-0.797588638E+00-0.797847427E+00 --0.798124482E+00-0.798419937E+00-0.798732935E+00-0.799063213E+00-0.799410769E+00 --0.799775604E+00-0.800157821E+00-0.800557215E+00-0.800973443E+00-0.801406749E+00 --0.801856806E+00-0.802323615E+00-0.802806941E+00-0.803306467E+00-0.803822375E+00 --0.804354536E+00-0.804902946E+00-0.805467215E+00-0.806047109E+00-0.806642815E+00 --0.807254388E+00-0.807881366E+00-0.808523847E+00-0.809181762E+00-0.809854868E+00 --0.810543165E+00-0.811246577E+00-0.811964863E+00-0.812698115E+00-0.813446252E+00 --0.814208995E+00-0.814986403E+00-0.815778465E+00-0.816585007E+00-0.817406031E+00 --0.818241535E+00-0.819091497E+00-0.819955380E+00-0.820833432E+00-0.821725678E+00 --0.822632118E+00-0.823552751E+00-0.824487578E+00-0.825436598E+00-0.826399444E+00 --0.827376177E+00-0.828366800E+00-0.829371311E+00-0.830389890E+00-0.831422539E+00 --0.832469292E+00-0.833529525E+00-0.834604004E+00-0.835692615E+00-0.836795358E+00 --0.837912235E+00-0.839043243E+00-0.840188385E+00-0.841347174E+00-0.842520398E+00 --0.843708618E+00-0.844911628E+00-0.846129366E+00-0.847361830E+00-0.848609405E+00 --0.849872241E+00-0.851150260E+00-0.852444145E+00-0.853753648E+00-0.855078807E+00 --0.856421076E+00-0.857779801E+00-0.859154318E+00-0.860546731E+00-0.861957508E+00 --0.863386498E+00-0.864833076E+00-0.866297705E+00-0.867780924E+00-0.869283901E+00 --0.870806670E+00-0.872349200E+00-0.873911011E+00-0.875493663E+00-0.877096688E+00 --0.878716723E+00-0.880360234E+00-0.882027838E+00-0.883719536E+00-0.885435328E+00 --0.887174203E+00-0.888933679E+00-0.890715382E+00-0.892522206E+00-0.894352915E+00 --0.896205556E+00-0.898076224E+00-0.899972921E+00-0.901895775E+00-0.903844785E+00 --0.905819951E+00-0.907821274E+00-0.909849678E+00-0.911908421E+00-0.913989912E+00 --0.916036769E+00-0.918134425E+00-0.920269764E+00-0.922432900E+00-0.924623833E+00 --0.926842563E+00-0.929089089E+00-0.931363413E+00-0.933665534E+00-0.935995452E+00 --0.938353167E+00-0.940738679E+00-0.943151988E+00-0.945593094E+00-0.948061997E+00 --0.990027125E+00-0.988263773E+00-0.986529373E+00-0.984823923E+00-0.983147423E+00 --0.981514764E+00-0.979916831E+00-0.978352549E+00-0.976821917E+00-0.975324936E+00 --0.973861606E+00-0.972408290E+00-0.970964958E+00-0.969537107E+00-0.968127681E+00 --0.966735027E+00-0.965353700E+00-0.963981777E+00-0.962619257E+00-0.961266140E+00 --0.959919026E+00-0.958572085E+00-0.957232263E+00-0.955890316E+00-0.954546243E+00 --0.953200046E+00-0.951851724E+00-0.950499968E+00-0.949139189E+00-0.947774843E+00 --0.946402402E+00-0.945021386E+00-0.943631793E+00-0.942233624E+00-0.940824634E+00 --0.939406352E+00-0.937976897E+00-0.936535053E+00-0.935080823E+00-0.933614205E+00 --0.932135199E+00-0.930642866E+00-0.929137939E+00-0.927620244E+00-0.926089737E+00 --0.924546418E+00-0.922990287E+00-0.921421345E+00-0.919841416E+00-0.918251256E+00 --0.916649803E+00-0.915038999E+00-0.913418845E+00-0.911789340E+00-0.910150483E+00 --0.908505305E+00-0.906853424E+00-0.905194827E+00-0.903531354E+00-0.901863004E+00 --0.900189778E+00-0.898512948E+00-0.896836102E+00-0.895155653E+00-0.893476382E+00 --0.891798999E+00-0.890123503E+00-0.888449895E+00-0.886778580E+00-0.885113588E+00 --0.883451850E+00-0.881796101E+00-0.880147404E+00-0.878505760E+00-0.876871168E+00 --0.875244891E+00-0.873626601E+00-0.872016335E+00-0.870416795E+00-0.868827980E+00 --0.867249890E+00-0.865682525E+00-0.864126561E+00-0.862582774E+00-0.861052024E+00 --0.859534495E+00-0.858030159E+00-0.856539012E+00-0.855061086E+00-0.853598231E+00 --0.852150986E+00-0.850718056E+00-0.849299297E+00-0.847896237E+00-0.846509555E+00 --0.845137766E+00-0.843783005E+00-0.842445347E+00-0.841124029E+00-0.839818489E+00 --0.838528729E+00-0.837257328E+00-0.836003147E+00-0.834765945E+00-0.833546637E+00 --0.832345389E+00-0.831162017E+00-0.829995905E+00-0.828847547E+00-0.827717774E+00 --0.826606589E+00-0.825513989E+00-0.824439997E+00-0.823384520E+00-0.822347690E+00 --0.821329628E+00-0.820330333E+00-0.819350209E+00-0.818389427E+00-0.817447805E+00 --0.816524962E+00-0.815621699E+00-0.814738123E+00-0.813874213E+00-0.813029823E+00 --0.812205066E+00-0.811399942E+00-0.810614451E+00-0.809848593E+00-0.809102641E+00 --0.808376937E+00-0.807671260E+00-0.806985609E+00-0.806319986E+00-0.805674403E+00 --0.805048999E+00-0.804443769E+00-0.803858798E+00-0.803294169E+00-0.802749879E+00 --0.802225934E+00-0.801722265E+00-0.801238828E+00-0.800775722E+00-0.800333189E+00 --0.799911235E+00-0.799509618E+00-0.799128247E+00-0.798767121E+00-0.798426337E+00 --0.798105975E+00-0.797805927E+00-0.797526195E+00-0.797266779E+00-0.797027426E+00 --0.796808254E+00-0.796609738E+00-0.796431222E+00-0.796272486E+00-0.796133530E+00 --0.796014276E+00-0.795915150E+00-0.795835471E+00-0.795775852E+00-0.795736098E+00 --0.795716116E+00-0.795715448E+00-0.795733629E+00-0.795771177E+00-0.795827739E+00 --0.795903215E+00-0.795997584E+00-0.796110496E+00-0.796242914E+00-0.796393619E+00 --0.796562412E+00-0.796749293E+00-0.796954433E+00-0.797177999E+00-0.797419918E+00 --0.797678883E+00-0.797956052E+00-0.798250615E+00-0.798562666E+00-0.798892187E+00 --0.799239178E+00-0.799603623E+00-0.799984767E+00-0.800382511E+00-0.800796868E+00 --0.801228027E+00-0.801675947E+00-0.802140282E+00-0.802620800E+00-0.803117445E+00 --0.803630239E+00-0.804159294E+00-0.804704124E+00-0.805264566E+00-0.805840604E+00 --0.806432173E+00-0.807039191E+00-0.807661705E+00-0.808299341E+00-0.808952101E+00 --0.809619985E+00-0.810302991E+00-0.811000848E+00-0.811713332E+00-0.812440379E+00 --0.813182031E+00-0.813938289E+00-0.814709102E+00-0.815494068E+00-0.816293606E+00 --0.817107342E+00-0.817935094E+00-0.818776862E+00-0.819632646E+00-0.820502365E+00 --0.821386145E+00-0.822284081E+00-0.823195848E+00-0.824121338E+00-0.825060548E+00 --0.826013481E+00-0.826980326E+00-0.827960828E+00-0.828955069E+00-0.829963295E+00 --0.830985152E+00-0.832020642E+00-0.833069763E+00-0.834132480E+00-0.835209091E+00 --0.836299826E+00-0.837404420E+00-0.838522809E+00-0.839655025E+00-0.840801069E+00 --0.841961019E+00-0.843135565E+00-0.844324675E+00-0.845528229E+00-0.846746802E+00 --0.847980393E+00-0.849229003E+00-0.850492631E+00-0.851772231E+00-0.853067764E+00 --0.854379297E+00-0.855706475E+00-0.857049139E+00-0.858409472E+00-0.859788169E+00 --0.861185230E+00-0.862600655E+00-0.864034558E+00-0.865487521E+00-0.866959494E+00 --0.868450698E+00-0.869961148E+00-0.871490843E+00-0.873041368E+00-0.874611367E+00 --0.876201252E+00-0.877815231E+00-0.879453304E+00-0.881115471E+00-0.882801733E+00 --0.884512088E+00-0.886246537E+00-0.888005081E+00-0.889782328E+00-0.891585575E+00 --0.893409409E+00-0.895255581E+00-0.897127909E+00-0.899028798E+00-0.900957149E+00 --0.902911054E+00-0.904890514E+00-0.906895528E+00-0.908926097E+00-0.910969171E+00 --0.913042129E+00-0.915071582E+00-0.917136295E+00-0.919285292E+00-0.921462085E+00 --0.923666675E+00-0.925899063E+00-0.928159247E+00-0.930447229E+00-0.932763007E+00 --0.935106582E+00-0.937477955E+00-0.939877124E+00-0.942304091E+00-0.944758854E+00 --0.992941909E+00-0.991183750E+00-0.989454542E+00-0.987754285E+00-0.986082978E+00 --0.984440622E+00-0.982827217E+00-0.981244619E+00-0.979702060E+00-0.978193151E+00 --0.976717893E+00-0.975260215E+00-0.973814951E+00-0.972387855E+00-0.970978107E+00 --0.969583474E+00-0.968203215E+00-0.966832360E+00-0.965470908E+00-0.964118859E+00 --0.962773496E+00-0.961428350E+00-0.960084340E+00-0.958740064E+00-0.957393664E+00 --0.956045138E+00-0.954694488E+00-0.953338006E+00-0.951971122E+00-0.950596049E+00 --0.949213494E+00-0.947822363E+00-0.946422656E+00-0.945014373E+00-0.943595085E+00 --0.942160232E+00-0.940711520E+00-0.939250672E+00-0.937777436E+00-0.936291813E+00 --0.934793810E+00-0.933280698E+00-0.931748814E+00-0.930200799E+00-0.928639987E+00 --0.927066364E+00-0.925479928E+00-0.923880896E+00-0.922268588E+00-0.920640585E+00 --0.919000520E+00-0.917351108E+00-0.915692345E+00-0.914024232E+00-0.912347516E+00 --0.910663059E+00-0.908968749E+00-0.907266369E+00-0.905559112E+00-0.903846979E+00 --0.902129969E+00-0.900408780E+00-0.898686498E+00-0.896963091E+00-0.895239889E+00 --0.893518574E+00-0.891799147E+00-0.890081607E+00-0.888367682E+00-0.886660448E+00 --0.884959132E+00-0.883264045E+00-0.881576011E+00-0.879895029E+00-0.878221100E+00 --0.876555974E+00-0.874901573E+00-0.873257208E+00-0.871623126E+00-0.869999768E+00 --0.868387136E+00-0.866785229E+00-0.865198025E+00-0.863621516E+00-0.862060557E+00 --0.860513577E+00-0.858979786E+00-0.857459184E+00-0.855953333E+00-0.854463622E+00 --0.852989829E+00-0.851531892E+00-0.850088664E+00-0.848661752E+00-0.847251534E+00 --0.845858047E+00-0.844481543E+00-0.843122066E+00-0.841779617E+00-0.840454195E+00 --0.839144740E+00-0.837854320E+00-0.836581269E+00-0.835326278E+00-0.834089347E+00 --0.832870475E+00-0.831670473E+00-0.830488364E+00-0.829324546E+00-0.828179326E+00 --0.827052797E+00-0.825944957E+00-0.824855813E+00-0.823785761E+00-0.822735043E+00 --0.821703338E+00-0.820690573E+00-0.819697361E+00-0.818723490E+00-0.817768961E+00 --0.816833851E+00-0.815918322E+00-0.815022448E+00-0.814146263E+00-0.813289787E+00 --0.812453067E+00-0.811635951E+00-0.810838655E+00-0.810061406E+00-0.809304203E+00 --0.808567048E+00-0.807849902E+00-0.807152772E+00-0.806475670E+00-0.805818762E+00 --0.805182042E+00-0.804565509E+00-0.803969164E+00-0.803392969E+00-0.802837024E+00 --0.802301492E+00-0.801786228E+00-0.801291196E+00-0.800816397E+00-0.800361761E+00 --0.799927639E+00-0.799513668E+00-0.799119942E+00-0.798746437E+00-0.798393027E+00 --0.798060134E+00-0.797747358E+00-0.797454623E+00-0.797181929E+00-0.796929542E+00 --0.796697011E+00-0.796484677E+00-0.796292123E+00-0.796119349E+00-0.795966354E+00 --0.795833138E+00-0.795719474E+00-0.795625185E+00-0.795550669E+00-0.795495924E+00 --0.795460899E+00-0.795444919E+00-0.795447792E+00-0.795469350E+00-0.795509625E+00 --0.795569322E+00-0.795647750E+00-0.795744908E+00-0.795860857E+00-0.795995092E+00 --0.796147414E+00-0.796317825E+00-0.796506325E+00-0.796712793E+00-0.796937052E+00 --0.797179290E+00-0.797439275E+00-0.797716322E+00-0.798010604E+00-0.798322356E+00 --0.798651578E+00-0.798998048E+00-0.799361152E+00-0.799740857E+00-0.800137163E+00 --0.800550176E+00-0.800979802E+00-0.801425508E+00-0.801887294E+00-0.802365216E+00 --0.802859290E+00-0.803369199E+00-0.803894812E+00-0.804436059E+00-0.804992941E+00 --0.805565458E+00-0.806153281E+00-0.806756075E+00-0.807373858E+00-0.808006746E+00 --0.808654758E+00-0.809317698E+00-0.809995083E+00-0.810687023E+00-0.811393570E+00 --0.812114615E+00-0.812850158E+00-0.813599767E+00-0.814363759E+00-0.815141782E+00 --0.815933794E+00-0.816739823E+00-0.817559868E+00-0.818393929E+00-0.819241810E+00 --0.820103054E+00-0.820977787E+00-0.821866324E+00-0.822768582E+00-0.823684563E+00 --0.824614265E+00-0.825557616E+00-0.826514146E+00-0.827483852E+00-0.828467206E+00 --0.829464191E+00-0.830474809E+00-0.831499058E+00-0.832536951E+00-0.833587997E+00 --0.834651928E+00-0.835729177E+00-0.836820253E+00-0.837925156E+00-0.839043887E+00 --0.840176466E+00-0.841322681E+00-0.842482269E+00-0.843655944E+00-0.844844634E+00 --0.846048343E+00-0.847267070E+00-0.848500845E+00-0.849749915E+00-0.851013556E+00 --0.852293280E+00-0.853588912E+00-0.854899724E+00-0.856227977E+00-0.857574594E+00 --0.858938156E+00-0.860320505E+00-0.861721987E+00-0.863142604E+00-0.864582355E+00 --0.866041239E+00-0.867519258E+00-0.869016410E+00-0.870532418E+00-0.872073970E+00 --0.873634381E+00-0.875218823E+00-0.876827296E+00-0.878459801E+00-0.880116337E+00 --0.881796904E+00-0.883501503E+00-0.885230133E+00-0.886982794E+00-0.888759487E+00 --0.890557638E+00-0.892381151E+00-0.894230218E+00-0.896104840E+00-0.898005017E+00 --0.899930749E+00-0.901882035E+00-0.903858876E+00-0.905854748E+00-0.907870159E+00 --0.909921614E+00-0.911982535E+00-0.914028775E+00-0.916109730E+00-0.918241601E+00 --0.920432052E+00-0.922650300E+00-0.924896344E+00-0.927170186E+00-0.929471825E+00 --0.931801261E+00-0.934158494E+00-0.936543524E+00-0.938956351E+00-0.941396975E+00 --0.995695100E+00-0.993942134E+00-0.992218119E+00-0.990523054E+00-0.988856940E+00 --0.987219777E+00-0.985611565E+00-0.984032303E+00-0.982481992E+00-0.980960632E+00 --0.979471117E+00-0.978014101E+00-0.976582667E+00-0.975164835E+00-0.973760606E+00 --0.972369979E+00-0.970992955E+00-0.969628490E+00-0.968278343E+00-0.966938100E+00 --0.965598041E+00-0.964258168E+00-0.962918481E+00-0.961578978E+00-0.960236438E+00 --0.958891609E+00-0.957540273E+00-0.956178799E+00-0.954807186E+00-0.953425436E+00 --0.952033548E+00-0.950633374E+00-0.949229932E+00-0.947813886E+00-0.946382180E+00 --0.944934814E+00-0.943471789E+00-0.941993103E+00-0.940501336E+00-0.939000053E+00 --0.937481053E+00-0.935943282E+00-0.934386739E+00-0.932811423E+00-0.931217335E+00 --0.929612027E+00-0.927994500E+00-0.926361337E+00-0.924712480E+00-0.923047929E+00 --0.921367684E+00-0.919672087E+00-0.917973168E+00-0.916266206E+00-0.914549554E+00 --0.912823214E+00-0.911087184E+00-0.909341466E+00-0.907586740E+00-0.905826810E+00 --0.904058847E+00-0.902290006E+00-0.900520287E+00-0.898749689E+00-0.896978213E+00 --0.895207593E+00-0.893441040E+00-0.891677889E+00-0.889921073E+00-0.888170591E+00 --0.886426444E+00-0.884688630E+00-0.882958360E+00-0.881235990E+00-0.879522724E+00 --0.877819961E+00-0.876127700E+00-0.874445941E+00-0.872774685E+00-0.871114914E+00 --0.869466739E+00-0.867831434E+00-0.866209365E+00-0.864600149E+00-0.863006365E+00 --0.861428325E+00-0.859865118E+00-0.858315376E+00-0.856782890E+00-0.855266215E+00 --0.853765411E+00-0.852281136E+00-0.850812736E+00-0.849361677E+00-0.847927944E+00 --0.846510547E+00-0.845111756E+00-0.843730536E+00-0.842366409E+00-0.841020279E+00 --0.839692435E+00-0.838382597E+00-0.837090875E+00-0.835817328E+00-0.834561958E+00 --0.833325494E+00-0.832108234E+00-0.830909440E+00-0.829729699E+00-0.828569094E+00 --0.827427228E+00-0.826304051E+00-0.825200344E+00-0.824116218E+00-0.823051423E+00 --0.822006039E+00-0.820979801E+00-0.819973414E+00-0.818986575E+00-0.818019250E+00 --0.817071414E+00-0.816143496E+00-0.815235589E+00-0.814347352E+00-0.813478785E+00 --0.812629643E+00-0.811800810E+00-0.810992182E+00-0.810203585E+00-0.809435022E+00 --0.808686490E+00-0.807957992E+00-0.807249525E+00-0.806561082E+00-0.805892868E+00 --0.805244849E+00-0.804617026E+00-0.804009399E+00-0.803421966E+00-0.802854603E+00 --0.802307608E+00-0.801780775E+00-0.801274148E+00-0.800787754E+00-0.800321593E+00 --0.799875371E+00-0.799449253E+00-0.799043631E+00-0.798658098E+00-0.798292656E+00 --0.797947265E+00-0.797621870E+00-0.797316516E+00-0.797031187E+00-0.796765518E+00 --0.796519690E+00-0.796293916E+00-0.796087983E+00-0.795901892E+00-0.795735641E+00 --0.795588658E+00-0.795460591E+00-0.795352585E+00-0.795263919E+00-0.795194231E+00 --0.795144074E+00-0.795112746E+00-0.795100354E+00-0.795107095E+00-0.795132924E+00 --0.795177182E+00-0.795239896E+00-0.795321300E+00-0.795421260E+00-0.795539024E+00 --0.795675258E+00-0.795829481E+00-0.796001623E+00-0.796191684E+00-0.796399664E+00 --0.796625562E+00-0.796868803E+00-0.797129135E+00-0.797406577E+00-0.797701129E+00 --0.798012811E+00-0.798341381E+00-0.798686712E+00-0.799048805E+00-0.799427659E+00 --0.799823231E+00-0.800234967E+00-0.800662782E+00-0.801106676E+00-0.801566390E+00 --0.802041915E+00-0.802533399E+00-0.803040589E+00-0.803563179E+00-0.804101169E+00 --0.804654599E+00-0.805223276E+00-0.805806928E+00-0.806405554E+00-0.807019071E+00 --0.807647390E+00-0.808290533E+00-0.808948101E+00-0.809620095E+00-0.810306408E+00 --0.811006965E+00-0.811721853E+00-0.812451011E+00-0.813194411E+00-0.813951541E+00 --0.814722297E+00-0.815506824E+00-0.816305625E+00-0.817117901E+00-0.817943526E+00 --0.818782500E+00-0.819634822E+00-0.820500492E+00-0.821379639E+00-0.822272742E+00 --0.823179171E+00-0.824098696E+00-0.825031317E+00-0.825977034E+00-0.826935847E+00 --0.827907952E+00-0.828894028E+00-0.829893455E+00-0.830905780E+00-0.831931003E+00 --0.832969124E+00-0.834020144E+00-0.835084043E+00-0.836161245E+00-0.837251636E+00 --0.838355402E+00-0.839472542E+00-0.840603056E+00-0.841746944E+00-0.842904511E+00 --0.844077925E+00-0.845266352E+00-0.846469349E+00-0.847686917E+00-0.848919055E+00 --0.850165764E+00-0.851427112E+00-0.852705973E+00-0.853998573E+00-0.855312977E+00 --0.856648716E+00-0.858002061E+00-0.859373011E+00-0.860761566E+00-0.862167727E+00 --0.863591492E+00-0.865032863E+00-0.866491840E+00-0.867974534E+00-0.869500075E+00 --0.871036279E+00-0.872587922E+00-0.874163595E+00-0.875763300E+00-0.877387037E+00 --0.879034805E+00-0.880706604E+00-0.882402434E+00-0.884122296E+00-0.885866189E+00 --0.887635699E+00-0.889431038E+00-0.891251932E+00-0.893098380E+00-0.894970384E+00 --0.896867942E+00-0.898791054E+00-0.900739722E+00-0.902698966E+00-0.904692874E+00 --0.906722827E+00-0.908788825E+00-0.910838861E+00-0.912908349E+00-0.915012553E+00 --0.917151472E+00-0.919342800E+00-0.921574705E+00-0.923834408E+00-0.926121907E+00 --0.928437204E+00-0.930780297E+00-0.933151188E+00-0.935549876E+00-0.937976360E+00 --0.998286698E+00-0.996538925E+00-0.994820102E+00-0.993130231E+00-0.991469310E+00 --0.989837339E+00-0.988234320E+00-0.986669204E+00-0.985171095E+00-0.983712853E+00 --0.982162280E+00-0.980648440E+00-0.979221986E+00-0.977823248E+00-0.976438111E+00 --0.975066577E+00-0.973708646E+00-0.972364317E+00-0.971033695E+00-0.969706852E+00 --0.968380194E+00-0.967053722E+00-0.965727435E+00-0.964401334E+00-0.963074827E+00 --0.961740345E+00-0.960395726E+00-0.959040968E+00-0.957676072E+00-0.956301037E+00 --0.954901998E+00-0.953461979E+00-0.952039259E+00-0.950613321E+00-0.949171724E+00 --0.947714467E+00-0.946241550E+00-0.944752973E+00-0.943250316E+00-0.941730079E+00 --0.940191070E+00-0.938633290E+00-0.937056737E+00-0.935461412E+00-0.933838366E+00 --0.932178442E+00-0.930521334E+00-0.928848532E+00-0.927160036E+00-0.925455846E+00 --0.923735962E+00-0.922000384E+00-0.920255068E+00-0.918500220E+00-0.916735683E+00 --0.914961457E+00-0.913177542E+00-0.911383939E+00-0.909603279E+00-0.907803454E+00 --0.905982864E+00-0.904161395E+00-0.902339047E+00-0.900515821E+00-0.898691717E+00 --0.896866975E+00-0.895046621E+00-0.893232601E+00-0.891424915E+00-0.889623564E+00 --0.887828547E+00-0.886041859E+00-0.884277865E+00-0.882529256E+00-0.880783557E+00 --0.879040145E+00-0.877307236E+00-0.875584829E+00-0.873872925E+00-0.872171622E+00 --0.870485107E+00-0.868814240E+00-0.867156762E+00-0.865514838E+00-0.863888943E+00 --0.862278792E+00-0.860684783E+00-0.859107242E+00-0.857544545E+00-0.856000159E+00 --0.854472301E+00-0.852960972E+00-0.851467276E+00-0.849991556E+00-0.848533574E+00 --0.847093879E+00-0.845671699E+00-0.844267622E+00-0.842882600E+00-0.841515864E+00 --0.840167414E+00-0.838838082E+00-0.837527431E+00-0.836234956E+00-0.834961314E+00 --0.833707569E+00-0.832473736E+00-0.831258935E+00-0.830063060E+00-0.828886238E+00 --0.827728541E+00-0.826590649E+00-0.825472680E+00-0.824374414E+00-0.823295587E+00 --0.822236222E+00-0.821196498E+00-0.820176827E+00-0.819177131E+00-0.818196986E+00 --0.817236670E+00-0.816296485E+00-0.815376367E+00-0.814476055E+00-0.813595442E+00 --0.812734921E+00-0.811894616E+00-0.811074526E+00-0.810274642E+00-0.809494819E+00 --0.808735029E+00-0.807995271E+00-0.807275546E+00-0.806576048E+00-0.805896705E+00 --0.805237514E+00-0.804598524E+00-0.803979730E+00-0.803381092E+00-0.802802598E+00 --0.802244332E+00-0.801706272E+00-0.801188330E+00-0.800690508E+00-0.800212804E+00 --0.799754819E+00-0.799317370E+00-0.798899905E+00-0.798502371E+00-0.798124896E+00 --0.797767511E+00-0.797429552E+00-0.797111899E+00-0.796814033E+00-0.796535953E+00 --0.796277659E+00-0.796038822E+00-0.795819644E+00-0.795620308E+00-0.795440703E+00 --0.795280315E+00-0.795139101E+00-0.795017083E+00-0.794914292E+00-0.794830596E+00 --0.794765678E+00-0.794719804E+00-0.794693031E+00-0.794685357E+00-0.794696504E+00 --0.794726061E+00-0.794774049E+00-0.794840466E+00-0.794924815E+00-0.795026961E+00 --0.795147723E+00-0.795286224E+00-0.795442462E+00-0.795616439E+00-0.795808154E+00 --0.796017716E+00-0.796244473E+00-0.796488212E+00-0.796749170E+00-0.797027348E+00 --0.797322752E+00-0.797634800E+00-0.797963217E+00-0.798308012E+00-0.798669471E+00 --0.799047455E+00-0.799441440E+00-0.799851871E+00-0.800278112E+00-0.800720163E+00 --0.801178024E+00-0.801651695E+00-0.802140662E+00-0.802644945E+00-0.803164563E+00 --0.803699482E+00-0.804249610E+00-0.804814645E+00-0.805394573E+00-0.805988868E+00 --0.806597741E+00-0.807221590E+00-0.807859864E+00-0.808512563E+00-0.809179506E+00 --0.809860034E+00-0.810554598E+00-0.811263515E+00-0.811986321E+00-0.812722635E+00 --0.813472413E+00-0.814235920E+00-0.815013317E+00-0.815804063E+00-0.816608158E+00 --0.817425600E+00-0.818256392E+00-0.819099393E+00-0.819954194E+00-0.820823431E+00 --0.821706146E+00-0.822601957E+00-0.823510863E+00-0.824432866E+00-0.825367964E+00 --0.826316375E+00-0.827277852E+00-0.828252228E+00-0.829239502E+00-0.830239675E+00 --0.831252745E+00-0.832279111E+00-0.833316888E+00-0.834364688E+00-0.835424552E+00 --0.836498096E+00-0.837585015E+00-0.838685308E+00-0.839798975E+00-0.840926015E+00 --0.842066795E+00-0.843222451E+00-0.844392677E+00-0.845577474E+00-0.846776841E+00 --0.847990779E+00-0.849219288E+00-0.850503398E+00-0.851765864E+00-0.853044550E+00 --0.854340842E+00-0.855654738E+00-0.856986240E+00-0.858335347E+00-0.859702059E+00 --0.861086376E+00-0.862488299E+00-0.863907827E+00-0.865352410E+00-0.866832470E+00 --0.868346147E+00-0.869876056E+00-0.871418930E+00-0.872985835E+00-0.874576772E+00 --0.876191740E+00-0.877830740E+00-0.879493771E+00-0.881180833E+00-0.882891927E+00 --0.884631257E+00-0.886398423E+00-0.888191143E+00-0.890009418E+00-0.891853248E+00 --0.893722632E+00-0.895617572E+00-0.897528550E+00-0.899464911E+00-0.901437317E+00 --0.903445768E+00-0.905490264E+00-0.907559548E+00-0.909617568E+00-0.911710303E+00 --0.913837755E+00-0.915999924E+00-0.918196808E+00-0.920439893E+00-0.922713253E+00 --0.925014410E+00-0.927343364E+00-0.929700115E+00-0.932084663E+00-0.934497008E+00 --0.100071670E+01-0.998974123E+00-0.997260493E+00-0.995591158E+00-0.993963661E+00 --0.992376031E+00-0.990828269E+00-0.989320373E+00-0.987852345E+00-0.986263664E+00 --0.984721801E+00-0.983235549E+00-0.981844542E+00-0.980447481E+00-0.979082765E+00 --0.977734860E+00-0.976400557E+00-0.975079857E+00-0.973772759E+00-0.972462719E+00 --0.971152179E+00-0.969841823E+00-0.968531654E+00-0.967221669E+00-0.965907837E+00 --0.964583896E+00-0.963249817E+00-0.961905599E+00-0.960551159E+00-0.959166836E+00 --0.957761172E+00-0.956334166E+00-0.954892207E+00-0.953457254E+00-0.952006641E+00 --0.950540368E+00-0.949058436E+00-0.947559742E+00-0.946039822E+00-0.944501130E+00 --0.942943666E+00-0.941367430E+00-0.939773027E+00-0.938151372E+00-0.936494736E+00 --0.934803119E+00-0.933092491E+00-0.931379017E+00-0.929649849E+00-0.927904987E+00 --0.926144431E+00-0.924364451E+00-0.922569400E+00-0.920764661E+00-0.918950233E+00 --0.917126116E+00-0.915302218E+00-0.913472592E+00-0.911626059E+00-0.909762619E+00 --0.907887802E+00-0.906011970E+00-0.904135260E+00-0.902257671E+00-0.900379204E+00 --0.898499960E+00-0.896626190E+00-0.894758753E+00-0.892897651E+00-0.891042883E+00 --0.889196453E+00-0.887364960E+00-0.885548853E+00-0.883748132E+00-0.881962797E+00 --0.880192848E+00-0.878422903E+00-0.876658916E+00-0.874905432E+00-0.873162883E+00 --0.871439294E+00-0.869731870E+00-0.868040215E+00-0.866364860E+00-0.864705084E+00 --0.863062423E+00-0.861436878E+00-0.859828448E+00-0.858237110E+00-0.856663523E+00 --0.855107747E+00-0.853569779E+00-0.852050444E+00-0.850549777E+00-0.849067522E+00 --0.847603679E+00-0.846157867E+00-0.844731535E+00-0.843324979E+00-0.841937858E+00 --0.840568803E+00-0.839219414E+00-0.837889745E+00-0.836578763E+00-0.835287691E+00 --0.834016530E+00-0.832765280E+00-0.831533931E+00-0.830321698E+00-0.829129283E+00 --0.827956791E+00-0.826804221E+00-0.825671574E+00-0.824558849E+00-0.823466047E+00 --0.822393093E+00-0.821340192E+00-0.820307436E+00-0.819294751E+00-0.818302134E+00 --0.817329539E+00-0.816377102E+00-0.815444732E+00-0.814532429E+00-0.813640292E+00 --0.812768438E+00-0.811916800E+00-0.811085377E+00-0.810274170E+00-0.809483178E+00 --0.808712402E+00-0.807961457E+00-0.807230472E+00-0.806520140E+00-0.805829955E+00 --0.805159900E+00-0.804509975E+00-0.803880204E+00-0.803270611E+00-0.802681208E+00 --0.802111993E+00-0.801562748E+00-0.801033584E+00-0.800524563E+00-0.800035587E+00 --0.799566599E+00-0.799117622E+00-0.798688674E+00-0.798279644E+00-0.797890533E+00 --0.797521176E+00-0.797171539E+00-0.796841915E+00-0.796531809E+00-0.796241320E+00 --0.795970615E+00-0.795719526E+00-0.795487104E+00-0.795275175E+00-0.795082467E+00 --0.794908931E+00-0.794754569E+00-0.794619380E+00-0.794502850E+00-0.794405825E+00 --0.794327496E+00-0.794267864E+00-0.794226853E+00-0.794204798E+00-0.794201574E+00 --0.794216430E+00-0.794249717E+00-0.794301571E+00-0.794371332E+00-0.794458817E+00 --0.794564027E+00-0.794687125E+00-0.794828074E+00-0.794986746E+00-0.795162914E+00 --0.795356618E+00-0.795567715E+00-0.795795642E+00-0.796040435E+00-0.796302431E+00 --0.796581568E+00-0.796877211E+00-0.797189224E+00-0.797517606E+00-0.797862296E+00 --0.798223418E+00-0.798600668E+00-0.798993764E+00-0.799402667E+00-0.799827375E+00 --0.800267888E+00-0.800724207E+00-0.801195802E+00-0.801682245E+00-0.802183921E+00 --0.802700899E+00-0.803232739E+00-0.803779296E+00-0.804340787E+00-0.804916772E+00 --0.805507253E+00-0.806112066E+00-0.806731277E+00-0.807364959E+00-0.808012710E+00 --0.808674018E+00-0.809348885E+00-0.810037310E+00-0.810739634E+00-0.811455602E+00 --0.812185158E+00-0.812928147E+00-0.813684261E+00-0.814453724E+00-0.815236534E+00 --0.816032579E+00-0.816841088E+00-0.817661921E+00-0.818495079E+00-0.819340813E+00 --0.820199879E+00-0.821072040E+00-0.821957297E+00-0.822855650E+00-0.823766848E+00 --0.824690635E+00-0.825627319E+00-0.826576902E+00-0.827539383E+00-0.828516526E+00 --0.829506444E+00-0.830506385E+00-0.831516348E+00-0.832536333E+00-0.833566341E+00 --0.834607185E+00-0.835663499E+00-0.836733188E+00-0.837816250E+00-0.838912687E+00 --0.840022498E+00-0.841145165E+00-0.842282197E+00-0.843433799E+00-0.844599971E+00 --0.845780715E+00-0.846992799E+00-0.848233033E+00-0.849477422E+00-0.850716660E+00 --0.851973503E+00-0.853247951E+00-0.854540004E+00-0.855849663E+00-0.857176927E+00 --0.858521796E+00-0.859884271E+00-0.861264350E+00-0.862665723E+00-0.864100303E+00 --0.865568499E+00-0.867070314E+00-0.868593300E+00-0.870127406E+00-0.871685543E+00 --0.873267711E+00-0.874873911E+00-0.876504143E+00-0.878158405E+00-0.879836699E+00 --0.881544314E+00-0.883283306E+00-0.885047852E+00-0.886837954E+00-0.888653610E+00 --0.890494821E+00-0.892358911E+00-0.894237725E+00-0.896152584E+00-0.898103488E+00 --0.900090437E+00-0.902113431E+00-0.904172470E+00-0.906237387E+00-0.908318655E+00 --0.910434639E+00-0.912585339E+00-0.914770756E+00-0.916990888E+00-0.919245861E+00 --0.921532879E+00-0.923847694E+00-0.926190305E+00-0.928560714E+00-0.930958920E+00 --0.100298867E+01-0.100127166E+01-0.999594504E+00-0.997957221E+00-0.996359804E+00 --0.994802255E+00-0.993284572E+00-0.991774958E+00-0.990190554E+00-0.988661761E+00 --0.987188581E+00-0.985771013E+00-0.984417529E+00-0.983078080E+00-0.981732001E+00 --0.980389017E+00-0.979078343E+00-0.977781271E+00-0.976497802E+00-0.975216598E+00 --0.973922174E+00-0.972627936E+00-0.971333883E+00-0.970039109E+00-0.968735846E+00 --0.967422446E+00-0.966098907E+00-0.964767153E+00-0.963417185E+00-0.962045875E+00 --0.960653223E+00-0.959239230E+00-0.957803895E+00-0.956356268E+00-0.954896640E+00 --0.953421351E+00-0.951930403E+00-0.950413470E+00-0.948875095E+00-0.947317947E+00 --0.945742028E+00-0.944156787E+00-0.942538725E+00-0.940885681E+00-0.939197655E+00 --0.937474649E+00-0.935716661E+00-0.933960453E+00-0.932190613E+00-0.930405078E+00 --0.928603172E+00-0.926767920E+00-0.924922979E+00-0.923068348E+00-0.921205790E+00 --0.919341003E+00-0.917459309E+00-0.915560708E+00-0.913645200E+00-0.911712786E+00 --0.909768744E+00-0.907838549E+00-0.905907476E+00-0.903975524E+00-0.902041402E+00 --0.900107880E+00-0.898180693E+00-0.896259840E+00-0.894340606E+00-0.892426229E+00 --0.890527238E+00-0.888643633E+00-0.886775413E+00-0.884922580E+00-0.883085132E+00 --0.881263070E+00-0.879456394E+00-0.877665104E+00-0.875871329E+00-0.874087534E+00 --0.872326872E+00-0.870582406E+00-0.868855426E+00-0.867142625E+00-0.865448155E+00 --0.863773004E+00-0.862115713E+00-0.860475539E+00-0.858854078E+00-0.857252048E+00 --0.855668118E+00-0.854103951E+00-0.852557910E+00-0.851031423E+00-0.849524555E+00 --0.848036193E+00-0.846568310E+00-0.845120204E+00-0.843691874E+00-0.842283321E+00 --0.840894544E+00-0.839525516E+00-0.838176763E+00-0.836848108E+00-0.835539550E+00 --0.834251090E+00-0.832982727E+00-0.831734434E+00-0.830505849E+00-0.829297746E+00 --0.828110461E+00-0.826943202E+00-0.825795866E+00-0.824668487E+00-0.823561729E+00 --0.822475658E+00-0.821409928E+00-0.820364238E+00-0.819338625E+00-0.818333464E+00 --0.817348928E+00-0.816384594E+00-0.815440327E+00-0.814516573E+00-0.813612824E+00 --0.812729395E+00-0.811866725E+00-0.811024223E+00-0.810201887E+00-0.809399718E+00 --0.808617716E+00-0.807855882E+00-0.807114447E+00-0.806393211E+00-0.805692328E+00 --0.805011660E+00-0.804351206E+00-0.803710958E+00-0.803090747E+00-0.802490554E+00 --0.801910380E+00-0.801350257E+00-0.800810343E+00-0.800290415E+00-0.799790475E+00 --0.799310523E+00-0.798850558E+00-0.798410316E+00-0.797989803E+00-0.797589325E+00 --0.797208573E+00-0.796847438E+00-0.796506000E+00-0.796184151E+00-0.795881821E+00 --0.795599008E+00-0.795335485E+00-0.795091358E+00-0.794866532E+00-0.794660923E+00 --0.794474532E+00-0.794307358E+00-0.794159401E+00-0.794029955E+00-0.793919906E+00 --0.793828426E+00-0.793755394E+00-0.793701059E+00-0.793665383E+00-0.793648047E+00 --0.793648289E+00-0.793667538E+00-0.793705076E+00-0.793760337E+00-0.793833323E+00 --0.793924072E+00-0.794032685E+00-0.794159077E+00-0.794302683E+00-0.794463683E+00 --0.794642218E+00-0.794838079E+00-0.795050743E+00-0.795280185E+00-0.795526405E+00 --0.795789260E+00-0.796068861E+00-0.796364851E+00-0.796677211E+00-0.797005940E+00 --0.797351040E+00-0.797712118E+00-0.798088725E+00-0.798480839E+00-0.798888631E+00 --0.799312229E+00-0.799751593E+00-0.800206079E+00-0.800675470E+00-0.801159766E+00 --0.801658967E+00-0.802173186E+00-0.802702065E+00-0.803245438E+00-0.803803305E+00 --0.804375667E+00-0.804962173E+00-0.805562321E+00-0.806177257E+00-0.806805788E+00 --0.807447869E+00-0.808103552E+00-0.808772898E+00-0.809455980E+00-0.810152171E+00 --0.810861603E+00-0.811584075E+00-0.812318905E+00-0.813067668E+00-0.813829885E+00 --0.814604427E+00-0.815391293E+00-0.816190482E+00-0.817001995E+00-0.817825833E+00 --0.818661401E+00-0.819509913E+00-0.820371520E+00-0.821245922E+00-0.822132018E+00 --0.823031011E+00-0.823942903E+00-0.824871113E+00-0.825813172E+00-0.826765254E+00 --0.827727357E+00-0.828699483E+00-0.829681632E+00-0.830673803E+00-0.831675996E+00 --0.832688211E+00-0.833710449E+00-0.834747549E+00-0.835800007E+00-0.836865839E+00 --0.837945046E+00-0.839036702E+00-0.840140538E+00-0.841258945E+00-0.842391923E+00 --0.843539471E+00-0.844726037E+00-0.845920437E+00-0.847122177E+00-0.848329305E+00 --0.849546700E+00-0.850781700E+00-0.852034305E+00-0.853304515E+00-0.854592331E+00 --0.855897752E+00-0.857220778E+00-0.858558992E+00-0.859914474E+00-0.861303573E+00 --0.862726289E+00-0.864182623E+00-0.865672574E+00-0.867188011E+00-0.868713349E+00 --0.870262718E+00-0.871836118E+00-0.873433550E+00-0.875055012E+00-0.876700507E+00 --0.878374868E+00-0.880085686E+00-0.881822060E+00-0.883583988E+00-0.885371470E+00 --0.887184508E+00-0.889011317E+00-0.890868629E+00-0.892761985E+00-0.894691387E+00 --0.896656834E+00-0.898658326E+00-0.900695863E+00-0.902767806E+00-0.904837607E+00 --0.906942123E+00-0.909081355E+00-0.911255304E+00-0.913463968E+00-0.915707349E+00 --0.917985446E+00-0.920293287E+00-0.922621759E+00-0.924978028E+00-0.927362095E+00 --0.100509971E+01-0.100341277E+01-0.100176570E+01-0.100015850E+01-0.998591162E+00 --0.997063693E+00-0.995514281E+00-0.993942948E+00-0.992427227E+00-0.990967118E+00 --0.989562621E+00-0.988213736E+00-0.986919360E+00-0.985637523E+00-0.984349056E+00 --0.983053958E+00-0.981752230E+00-0.980468561E+00-0.979208721E+00-0.977962483E+00 --0.976690181E+00-0.975412059E+00-0.974134161E+00-0.972851577E+00-0.971558855E+00 --0.970262931E+00-0.968968658E+00-0.967653044E+00-0.966316088E+00-0.964957791E+00 --0.963578152E+00-0.962177171E+00-0.960754849E+00-0.959310365E+00-0.957841720E+00 --0.956357416E+00-0.954851021E+00-0.953312963E+00-0.951756132E+00-0.950194381E+00 --0.948614893E+00-0.947000423E+00-0.945350971E+00-0.943666538E+00-0.941947124E+00 --0.940192728E+00-0.938403351E+00-0.936592840E+00-0.934782327E+00-0.932956121E+00 --0.931095778E+00-0.929210635E+00-0.927315802E+00-0.925414047E+00-0.923497191E+00 --0.921563429E+00-0.919612760E+00-0.917645185E+00-0.915660702E+00-0.913659313E+00 --0.911641018E+00-0.909641131E+00-0.907655695E+00-0.905669381E+00-0.903677673E+00 --0.901690735E+00-0.899710131E+00-0.897713063E+00-0.895731187E+00-0.893764698E+00 --0.891813594E+00-0.889877876E+00-0.887957544E+00-0.886052598E+00-0.884163037E+00 --0.882288863E+00-0.880430074E+00-0.878586671E+00-0.876758654E+00-0.874945309E+00 --0.873143288E+00-0.871359379E+00-0.869593583E+00-0.867845783E+00-0.866117158E+00 --0.864407841E+00-0.862717834E+00-0.861047135E+00-0.859395193E+00-0.857763490E+00 --0.856151509E+00-0.854559364E+00-0.852987317E+00-0.851435454E+00-0.849903717E+00 --0.848392642E+00-0.846902055E+00-0.845431802E+00-0.843981885E+00-0.842552302E+00 --0.841142503E+00-0.839753169E+00-0.838385202E+00-0.837038603E+00-0.835712966E+00 --0.834407436E+00-0.833122004E+00-0.831856729E+00-0.830613015E+00-0.829389784E+00 --0.828187035E+00-0.827005371E+00-0.825843297E+00-0.824702455E+00-0.823582313E+00 --0.822482858E+00-0.821404073E+00-0.820345531E+00-0.819307568E+00-0.818290263E+00 --0.817293613E+00-0.816317415E+00-0.815361674E+00-0.814426571E+00-0.813511950E+00 --0.812617640E+00-0.811743647E+00-0.810890058E+00-0.810056755E+00-0.809243749E+00 --0.808451187E+00-0.807679068E+00-0.806927315E+00-0.806195716E+00-0.805484309E+00 --0.804793104E+00-0.804122125E+00-0.803471433E+00-0.802840760E+00-0.802230091E+00 --0.801639483E+00-0.801068959E+00-0.800518599E+00-0.799988162E+00-0.799477556E+00 --0.798986781E+00-0.798515836E+00-0.798064723E+00-0.797633416E+00-0.797221734E+00 --0.796829699E+00-0.796457312E+00-0.796104573E+00-0.795771141E+00-0.795457136E+00 --0.795162598E+00-0.794887529E+00-0.794631860E+00-0.794395084E+00-0.794177147E+00 --0.793978365E+00-0.793798800E+00-0.793638453E+00-0.793496586E+00-0.793373198E+00 --0.793268833E+00-0.793182911E+00-0.793115341E+00-0.793066122E+00-0.793035255E+00 --0.793022711E+00-0.793028123E+00-0.793051402E+00-0.793092548E+00-0.793151561E+00 --0.793228442E+00-0.793323190E+00-0.793435508E+00-0.793564847E+00-0.793711322E+00 --0.793874864E+00-0.794055484E+00-0.794253174E+00-0.794467806E+00-0.794699196E+00 --0.794946706E+00-0.795210940E+00-0.795491604E+00-0.795788419E+00-0.796101386E+00 --0.796430504E+00-0.796775609E+00-0.797136156E+00-0.797512232E+00-0.797903837E+00 --0.798310905E+00-0.798733419E+00-0.799170981E+00-0.799623638E+00-0.800091389E+00 --0.800574064E+00-0.801070889E+00-0.801582495E+00-0.802108533E+00-0.802648697E+00 --0.803202985E+00-0.803771449E+00-0.804353818E+00-0.804949929E+00-0.805559704E+00 --0.806183143E+00-0.806820245E+00-0.807471011E+00-0.808135060E+00-0.808811944E+00 --0.809501763E+00-0.810204661E+00-0.810920586E+00-0.811648836E+00-0.812389410E+00 --0.813142308E+00-0.813907530E+00-0.814685075E+00-0.815474945E+00-0.816277138E+00 --0.817090712E+00-0.817915574E+00-0.818753533E+00-0.819602001E+00-0.820463304E+00 --0.821342872E+00-0.822237072E+00-0.823141294E+00-0.824055539E+00-0.824979805E+00 --0.825914095E+00-0.826858406E+00-0.827812740E+00-0.828777096E+00-0.829751474E+00 --0.830735875E+00-0.831730298E+00-0.832734744E+00-0.833750245E+00-0.834785473E+00 --0.835834075E+00-0.836896051E+00-0.837967701E+00-0.839052914E+00-0.840152697E+00 --0.841275815E+00-0.842417043E+00-0.843565609E+00-0.844721515E+00-0.845884758E+00 --0.847060432E+00-0.848255984E+00-0.849469141E+00-0.850699903E+00-0.851948270E+00 --0.853214243E+00-0.854497821E+00-0.855788662E+00-0.857098663E+00-0.858442281E+00 --0.859819517E+00-0.861230370E+00-0.862674840E+00-0.864152927E+00-0.865660190E+00 --0.867176759E+00-0.868717360E+00-0.870281992E+00-0.871870655E+00-0.873483350E+00 --0.875122920E+00-0.876805565E+00-0.878513765E+00-0.880247519E+00-0.882006828E+00 --0.883785685E+00-0.885585450E+00-0.887421260E+00-0.889293115E+00-0.891201014E+00 --0.893144959E+00-0.895124949E+00-0.897140984E+00-0.899193064E+00-0.901267159E+00 --0.903360207E+00-0.905487972E+00-0.907650453E+00-0.909847649E+00-0.912079562E+00 --0.914346191E+00-0.916647536E+00-0.918983597E+00-0.921336606E+00-0.923706533E+00 --0.100704596E+01-0.100538910E+01-0.100377211E+01-0.100219499E+01-0.100065774E+01 --0.999079110E+00-0.997520848E+00-0.996018198E+00-0.994571160E+00-0.993179734E+00 --0.991843921E+00-0.990563719E+00-0.989339130E+00-0.988125809E+00-0.986894954E+00 --0.985657469E+00-0.984413353E+00-0.983162607E+00-0.981905515E+00-0.980682905E+00 --0.979456198E+00-0.978194194E+00-0.976931087E+00-0.975659044E+00-0.974415592E+00 --0.973155674E+00-0.971874414E+00-0.970571812E+00-0.969247869E+00-0.967902585E+00 --0.966535958E+00-0.965147990E+00-0.963738681E+00-0.962308030E+00-0.960841883E+00 --0.959348563E+00-0.957814735E+00-0.956264155E+00-0.954723241E+00-0.953147344E+00 --0.951536467E+00-0.949890608E+00-0.948209767E+00-0.946493945E+00-0.944743142E+00 --0.942957357E+00-0.941136591E+00-0.939280843E+00-0.937424993E+00-0.935552975E+00 --0.933627630E+00-0.931691724E+00-0.929739707E+00-0.927770784E+00-0.925784953E+00 --0.923782217E+00-0.921762573E+00-0.919726023E+00-0.917672566E+00-0.915602202E+00 --0.913514931E+00-0.911419717E+00-0.909379918E+00-0.907335567E+00-0.905288878E+00 --0.903225461E+00-0.901160702E+00-0.899111328E+00-0.897077340E+00-0.895058737E+00 --0.893055521E+00-0.891067690E+00-0.889095246E+00-0.887137365E+00-0.885194715E+00 --0.883268172E+00-0.881357736E+00-0.879463406E+00-0.877585184E+00-0.875723102E+00 --0.873880076E+00-0.872057320E+00-0.870252708E+00-0.868469909E+00-0.866707129E+00 --0.864963658E+00-0.863240708E+00-0.861538710E+00-0.859856387E+00-0.858194664E+00 --0.856554953E+00-0.854935054E+00-0.853337001E+00-0.851759218E+00-0.850202291E+00 --0.848666872E+00-0.847152959E+00-0.845660554E+00-0.844189670E+00-0.842739950E+00 --0.841310589E+00-0.839902618E+00-0.838516015E+00-0.837150778E+00-0.835806909E+00 --0.834484407E+00-0.833182819E+00-0.831900561E+00-0.830641720E+00-0.829403353E+00 --0.828186283E+00-0.826990569E+00-0.825815293E+00-0.824660816E+00-0.823527151E+00 --0.822414298E+00-0.821322543E+00-0.820251878E+00-0.819201934E+00-0.818172712E+00 --0.817164080E+00-0.816175855E+00-0.815208703E+00-0.814262240E+00-0.813336748E+00 --0.812431697E+00-0.811546964E+00-0.810682726E+00-0.809839019E+00-0.809015817E+00 --0.808212915E+00-0.807430455E+00-0.806668494E+00-0.805926792E+00-0.805205282E+00 --0.804503966E+00-0.803822802E+00-0.803161851E+00-0.802520983E+00-0.801900199E+00 --0.801299498E+00-0.800718881E+00-0.800158347E+00-0.799617524E+00-0.799096523E+00 --0.798595353E+00-0.798113890E+00-0.797652244E+00-0.797210409E+00-0.796787956E+00 --0.796385064E+00-0.796001825E+00-0.795638234E+00-0.795294005E+00-0.794968867E+00 --0.794662855E+00-0.794376259E+00-0.794109099E+00-0.793860883E+00-0.793631474E+00 --0.793420874E+00-0.793228938E+00-0.793056241E+00-0.792902317E+00-0.792766880E+00 --0.792649930E+00-0.792551235E+00-0.792470866E+00-0.792408848E+00-0.792365124E+00 --0.792339327E+00-0.792331663E+00-0.792341934E+00-0.792369737E+00-0.792415068E+00 --0.792478084E+00-0.792558967E+00-0.792657322E+00-0.792772424E+00-0.792904913E+00 --0.793054410E+00-0.793220864E+00-0.793403970E+00-0.793604129E+00-0.793820964E+00 --0.794054034E+00-0.794303339E+00-0.794568868E+00-0.794850558E+00-0.795148400E+00 --0.795461881E+00-0.795791445E+00-0.796136740E+00-0.796497552E+00-0.796873835E+00 --0.797264943E+00-0.797670929E+00-0.798092141E+00-0.798528484E+00-0.798979920E+00 --0.799445970E+00-0.799926292E+00-0.800420885E+00-0.800929776E+00-0.801452774E+00 --0.801989739E+00-0.802540655E+00-0.803105706E+00-0.803684559E+00-0.804276412E+00 --0.804881336E+00-0.805499857E+00-0.806132042E+00-0.806777059E+00-0.807434621E+00 --0.808104894E+00-0.808788706E+00-0.809485914E+00-0.810194615E+00-0.810914810E+00 --0.811646498E+00-0.812389799E+00-0.813145701E+00-0.813913927E+00-0.814694477E+00 --0.815487351E+00-0.816289025E+00-0.817100586E+00-0.817931803E+00-0.818778143E+00 --0.819634506E+00-0.820500892E+00-0.821377299E+00-0.822263729E+00-0.823160182E+00 --0.824066656E+00-0.824983153E+00-0.825909672E+00-0.826846214E+00-0.827792777E+00 --0.828749364E+00-0.829715972E+00-0.830692603E+00-0.831679256E+00-0.832675931E+00 --0.833689586E+00-0.834720957E+00-0.835763686E+00-0.836815703E+00-0.837882369E+00 --0.838970424E+00-0.840065817E+00-0.841168550E+00-0.842278621E+00-0.843396030E+00 --0.844520779E+00-0.845670804E+00-0.846844513E+00-0.848035826E+00-0.849244745E+00 --0.850471270E+00-0.851715399E+00-0.852953769E+00-0.854218289E+00-0.855516427E+00 --0.856848182E+00-0.858213554E+00-0.859612544E+00-0.861045151E+00-0.862511375E+00 --0.864009835E+00-0.865517636E+00-0.867049469E+00-0.868605333E+00-0.870185228E+00 --0.871789154E+00-0.873442941E+00-0.875122968E+00-0.876828548E+00-0.878559684E+00 --0.880303049E+00-0.882081311E+00-0.883895619E+00-0.885745972E+00-0.887632370E+00 --0.889554812E+00-0.891513300E+00-0.893507833E+00-0.895538411E+00-0.897605034E+00 --0.899688892E+00-0.901805189E+00-0.903956202E+00-0.906141931E+00-0.908362376E+00 --0.910617537E+00-0.912907414E+00-0.915232007E+00-0.917591316E+00-0.919985342E+00 --0.100882743E+01-0.100720065E+01-0.100561374E+01-0.100406670E+01-0.100246944E+01 --0.100092425E+01-0.999434674E+00-0.998000707E+00-0.996622353E+00-0.995299610E+00 --0.994032480E+00-0.992820962E+00-0.991665056E+00-0.990542939E+00-0.989369696E+00 --0.988189822E+00-0.987003319E+00-0.985810184E+00-0.984610420E+00-0.983404025E+00 --0.982203824E+00-0.980974378E+00-0.979757987E+00-0.978553764E+00-0.977328200E+00 --0.976081295E+00-0.974813047E+00-0.973523458E+00-0.972212528E+00-0.970880256E+00 --0.969526642E+00-0.968151687E+00-0.966755390E+00-0.965337751E+00-0.963897127E+00 --0.962380412E+00-0.960863768E+00-0.959326446E+00-0.957754142E+00-0.956146857E+00 --0.954504590E+00-0.952827342E+00-0.951115112E+00-0.949367901E+00-0.947585709E+00 --0.945768535E+00-0.943916380E+00-0.942029243E+00-0.940118609E+00-0.938173963E+00 --0.936186856E+00-0.934182771E+00-0.932161780E+00-0.930123881E+00-0.928069076E+00 --0.925997365E+00-0.923908746E+00-0.921803221E+00-0.919680790E+00-0.917541451E+00 --0.915385206E+00-0.913212054E+00-0.911080145E+00-0.908963425E+00-0.906815781E+00 --0.904683523E+00-0.902566041E+00-0.900457943E+00-0.898365951E+00-0.896290067E+00 --0.894230290E+00-0.892186619E+00-0.890159056E+00-0.888147600E+00-0.886152250E+00 --0.884173008E+00-0.882209872E+00-0.880262843E+00-0.878331922E+00-0.876418088E+00 --0.874535179E+00-0.872673082E+00-0.870831796E+00-0.869012195E+00-0.867213917E+00 --0.865436542E+00-0.863680070E+00-0.861944506E+00-0.860231593E+00-0.858540692E+00 --0.856871803E+00-0.855226261E+00-0.853602699E+00-0.852000162E+00-0.850419070E+00 --0.848859423E+00-0.847321248E+00-0.845805750E+00-0.844313594E+00-0.842844778E+00 --0.841397308E+00-0.839970960E+00-0.838565972E+00-0.837182343E+00-0.835820074E+00 --0.834479424E+00-0.833162156E+00-0.831866627E+00-0.830590151E+00-0.829337274E+00 --0.828105753E+00-0.826895588E+00-0.825707109E+00-0.824539453E+00-0.823392604E+00 --0.822267078E+00-0.821163406E+00-0.820080892E+00-0.819019088E+00-0.817978040E+00 --0.816958077E+00-0.815959098E+00-0.814981104E+00-0.814023581E+00-0.813087217E+00 --0.812171640E+00-0.811276652E+00-0.810402194E+00-0.809548267E+00-0.808714870E+00 --0.807902162E+00-0.807109992E+00-0.806337847E+00-0.805586215E+00-0.804854931E+00 --0.804143996E+00-0.803453030E+00-0.802782248E+00-0.802131797E+00-0.801501285E+00 --0.800890713E+00-0.800300080E+00-0.799729387E+00-0.799178607E+00-0.798647508E+00 --0.798136234E+00-0.797644783E+00-0.797173156E+00-0.796721203E+00-0.796288608E+00 --0.795875360E+00-0.795481462E+00-0.795107021E+00-0.794752030E+00-0.794416133E+00 --0.794099327E+00-0.793801613E+00-0.793523013E+00-0.793263361E+00-0.793022589E+00 --0.792800697E+00-0.792597685E+00-0.792412999E+00-0.792247150E+00-0.792099664E+00 --0.791970664E+00-0.791860152E+00-0.791767155E+00-0.791693064E+00-0.791636868E+00 --0.791598566E+00-0.791578158E+00-0.791575557E+00-0.791590435E+00-0.791622845E+00 --0.791672765E+00-0.791740195E+00-0.791825132E+00-0.791927066E+00-0.792045842E+00 --0.792181460E+00-0.792334101E+00-0.792503509E+00-0.792689669E+00-0.792892064E+00 --0.793110693E+00-0.793345558E+00-0.793596657E+00-0.793863836E+00-0.794146833E+00 --0.794445811E+00-0.794760537E+00-0.795090622E+00-0.795436330E+00-0.795797423E+00 --0.796173393E+00-0.796564241E+00-0.796969967E+00-0.797390249E+00-0.797825520E+00 --0.798275027E+00-0.798739002E+00-0.799217460E+00-0.799710378E+00-0.800216841E+00 --0.800736867E+00-0.801270845E+00-0.801818775E+00-0.802380286E+00-0.802954798E+00 --0.803542309E+00-0.804142818E+00-0.804756326E+00-0.805382552E+00-0.806021496E+00 --0.806673220E+00-0.807338175E+00-0.808015925E+00-0.808705169E+00-0.809405907E+00 --0.810118138E+00-0.810841862E+00-0.811577080E+00-0.812323791E+00-0.813081996E+00 --0.813851700E+00-0.814635497E+00-0.815435912E+00-0.816244891E+00-0.817063417E+00 --0.817891965E+00-0.818730536E+00-0.819579129E+00-0.820437744E+00-0.821306382E+00 --0.822185042E+00-0.823073724E+00-0.823972429E+00-0.824881155E+00-0.825799905E+00 --0.826728676E+00-0.827667470E+00-0.828616286E+00-0.829575125E+00-0.830543986E+00 --0.831522869E+00-0.832512345E+00-0.833526486E+00-0.834547315E+00-0.835580579E+00 --0.836622800E+00-0.837672360E+00-0.838729258E+00-0.839793495E+00-0.840865070E+00 --0.841943985E+00-0.843030237E+00-0.844160420E+00-0.845312286E+00-0.846481756E+00 --0.847668832E+00-0.848868891E+00-0.850054313E+00-0.851273353E+00-0.852526010E+00 --0.853812285E+00-0.855132176E+00-0.856485685E+00-0.857872812E+00-0.859293555E+00 --0.860747916E+00-0.862235894E+00-0.863735981E+00-0.865259045E+00-0.866806141E+00 --0.868377268E+00-0.869997816E+00-0.871649668E+00-0.873327076E+00-0.875021425E+00 --0.876742140E+00-0.878498901E+00-0.880291706E+00-0.882120557E+00-0.883985453E+00 --0.885886394E+00-0.887823379E+00-0.889796410E+00-0.891805486E+00-0.893850607E+00 --0.895928177E+00-0.898033006E+00-0.900172551E+00-0.902346812E+00-0.904555789E+00 --0.906799483E+00-0.909077892E+00-0.911391017E+00-0.913738859E+00-0.916121416E+00 --0.101044411E+01-0.100884741E+01-0.100727301E+01-0.100568528E+01-0.100415316E+01 --0.100267666E+01-0.100125576E+01-0.999890476E+00-0.998580805E+00-0.997326746E+00 --0.996128299E+00-0.994985464E+00-0.993898242E+00-0.992866631E+00-0.991773280E+00 --0.990651019E+00-0.989522127E+00-0.988386605E+00-0.987244453E+00-0.986095670E+00 --0.984940256E+00-0.983755138E+00-0.982585323E+00-0.981405502E+00-0.980204256E+00 --0.978981586E+00-0.977737492E+00-0.976471974E+00-0.975185031E+00-0.973876664E+00 --0.972546872E+00-0.971195656E+00-0.969823016E+00-0.968428952E+00-0.967011774E+00 --0.965527985E+00-0.963994274E+00-0.962425582E+00-0.960821908E+00-0.959183253E+00 --0.957509617E+00-0.955801000E+00-0.954057401E+00-0.952278821E+00-0.950465260E+00 --0.948616718E+00-0.946733194E+00-0.944814689E+00-0.942883133E+00-0.940895923E+00 --0.938825722E+00-0.936738737E+00-0.934634966E+00-0.932514410E+00-0.930377069E+00 --0.928222943E+00-0.926052032E+00-0.923864336E+00-0.921659855E+00-0.919438588E+00 --0.917200537E+00-0.914945700E+00-0.912745753E+00-0.910507441E+00-0.908278084E+00 --0.906067689E+00-0.903876254E+00-0.901703780E+00-0.899556624E+00-0.897428041E+00 --0.895315564E+00-0.893219194E+00-0.891138932E+00-0.889074776E+00-0.887026727E+00 --0.884994785E+00-0.882978950E+00-0.880979222E+00-0.878995601E+00-0.877030016E+00 --0.875107224E+00-0.873204413E+00-0.871325206E+00-0.869466361E+00-0.867630674E+00 --0.865819107E+00-0.864029064E+00-0.862262535E+00-0.860520269E+00-0.858799025E+00 --0.857101834E+00-0.855428697E+00-0.853779799E+00-0.852152762E+00-0.850546673E+00 --0.848963422E+00-0.847403512E+00-0.845866944E+00-0.844353716E+00-0.842863829E+00 --0.841397232E+00-0.839952544E+00-0.838529711E+00-0.837129113E+00-0.835750753E+00 --0.834394629E+00-0.833060656E+00-0.831749965E+00-0.830459520E+00-0.829191089E+00 --0.827945043E+00-0.826720427E+00-0.825518745E+00-0.824337947E+00-0.823178727E+00 --0.822041361E+00-0.820925850E+00-0.819831717E+00-0.818758124E+00-0.817706424E+00 --0.816675708E+00-0.815665976E+00-0.814677441E+00-0.813710147E+00-0.812762963E+00 --0.811837319E+00-0.810932345E+00-0.810048040E+00-0.809184405E+00-0.808341439E+00 --0.807518988E+00-0.806716955E+00-0.805935410E+00-0.805174266E+00-0.804433381E+00 --0.803712951E+00-0.803012766E+00-0.802332679E+00-0.801672682E+00-0.801032640E+00 --0.800412536E+00-0.799812351E+00-0.799232106E+00-0.798671890E+00-0.798131476E+00 --0.797610549E+00-0.797109155E+00-0.796627547E+00-0.796165483E+00-0.795722746E+00 --0.795299376E+00-0.794895457E+00-0.794510979E+00-0.794145576E+00-0.793799078E+00 --0.793471685E+00-0.793163407E+00-0.792874243E+00-0.792603778E+00-0.792352122E+00 --0.792119325E+00-0.791904993E+00-0.791709074E+00-0.791531777E+00-0.791372878E+00 --0.791232281E+00-0.791109928E+00-0.791005416E+00-0.790919138E+00-0.790850846E+00 --0.790800436E+00-0.790767910E+00-0.790753026E+00-0.790755352E+00-0.790775031E+00 --0.790812251E+00-0.790867014E+00-0.790939105E+00-0.791028047E+00-0.791133831E+00 --0.791256250E+00-0.791395367E+00-0.791551333E+00-0.791723963E+00-0.791912884E+00 --0.792118096E+00-0.792339599E+00-0.792576417E+00-0.792829335E+00-0.793098390E+00 --0.793382920E+00-0.793682897E+00-0.793998252E+00-0.794329330E+00-0.794675286E+00 --0.795036187E+00-0.795412236E+00-0.795803402E+00-0.796208899E+00-0.796628575E+00 --0.797062427E+00-0.797510625E+00-0.797973305E+00-0.798450387E+00-0.798941027E+00 --0.799445004E+00-0.799962321E+00-0.800493294E+00-0.801037915E+00-0.801595086E+00 --0.802165256E+00-0.802748363E+00-0.803344352E+00-0.803953305E+00-0.804574332E+00 --0.805207513E+00-0.805853611E+00-0.806511904E+00-0.807181690E+00-0.807862970E+00 --0.808555775E+00-0.809260341E+00-0.809976686E+00-0.810704809E+00-0.811441725E+00 --0.812184821E+00-0.812944109E+00-0.813720440E+00-0.814506312E+00-0.815301725E+00 --0.816106679E+00-0.816921174E+00-0.817745210E+00-0.818578788E+00-0.819421906E+00 --0.820274565E+00-0.821136766E+00-0.822008507E+00-0.822889790E+00-0.823780613E+00 --0.824680978E+00-0.825590883E+00-0.826510330E+00-0.827439318E+00-0.828377864E+00 --0.829328932E+00-0.830290023E+00-0.831261136E+00-0.832247510E+00-0.833236558E+00 --0.834232945E+00-0.835236671E+00-0.836247735E+00-0.837266137E+00-0.838291879E+00 --0.839324959E+00-0.840365377E+00-0.841416864E+00-0.842529281E+00-0.843659303E+00 --0.844806931E+00-0.845950354E+00-0.847090296E+00-0.848263855E+00-0.849471032E+00 --0.850711825E+00-0.851986236E+00-0.853294265E+00-0.854635910E+00-0.856011173E+00 --0.857420053E+00-0.858862551E+00-0.860338665E+00-0.861831793E+00-0.863346089E+00 --0.864884416E+00-0.866470188E+00-0.868093867E+00-0.869740578E+00-0.871403746E+00 --0.873102960E+00-0.874838218E+00-0.876609522E+00-0.878416870E+00-0.880260264E+00 --0.882139703E+00-0.884055187E+00-0.886006715E+00-0.887994289E+00-0.890017908E+00 --0.892077572E+00-0.894171424E+00-0.896299501E+00-0.898462294E+00-0.900659804E+00 --0.902892029E+00-0.905158971E+00-0.907460628E+00-0.909797002E+00-0.912168091E+00 --0.101189601E+01-0.101030129E+01-0.100872663E+01-0.100720758E+01-0.100574414E+01 --0.100433632E+01-0.100298411E+01-0.100168751E+01-0.100044652E+01-0.999261142E+00 --0.998131378E+00-0.997057227E+00-0.996038687E+00-0.995075760E+00-0.994105708E+00 --0.993041059E+00-0.991969779E+00-0.990891869E+00-0.989807329E+00-0.988716158E+00 --0.987651357E+00-0.986562906E+00-0.985423127E+00-0.984254934E+00-0.983092307E+00 --0.981908255E+00-0.980702780E+00-0.979475880E+00-0.978227555E+00-0.976957807E+00 --0.975666634E+00-0.974354036E+00-0.973020015E+00-0.971664569E+00-0.970252411E+00 --0.968776674E+00-0.967238793E+00-0.965641377E+00-0.964006165E+00-0.962335971E+00 --0.960630796E+00-0.958890640E+00-0.957115502E+00-0.955305384E+00-0.953460283E+00 --0.951580202E+00-0.949665140E+00-0.947725947E+00-0.945767769E+00-0.943733177E+00 --0.941620579E+00-0.939429260E+00-0.937221156E+00-0.934996267E+00-0.932754593E+00 --0.930496134E+00-0.928220889E+00-0.925928860E+00-0.923620045E+00-0.921294446E+00 --0.918952061E+00-0.916611504E+00-0.914323688E+00-0.912084318E+00-0.909782298E+00 --0.907499239E+00-0.905235141E+00-0.902990004E+00-0.900763828E+00-0.898556613E+00 --0.896368359E+00-0.894199066E+00-0.892048733E+00-0.889917362E+00-0.887804951E+00 --0.885711502E+00-0.883637013E+00-0.881581486E+00-0.879544919E+00-0.877556280E+00 --0.875585434E+00-0.873640893E+00-0.871720916E+00-0.869826049E+00-0.867955391E+00 --0.866108773E+00-0.864286815E+00-0.862488641E+00-0.860715787E+00-0.858966993E+00 --0.857242260E+00-0.855541587E+00-0.853863639E+00-0.852212359E+00-0.850584533E+00 --0.848980161E+00-0.847399242E+00-0.845841778E+00-0.844307768E+00-0.842797212E+00 --0.841309740E+00-0.839846168E+00-0.838406714E+00-0.836989498E+00-0.835594517E+00 --0.834221911E+00-0.832872885E+00-0.831547626E+00-0.830244191E+00-0.828962769E+00 --0.827703359E+00-0.826465087E+00-0.825250361E+00-0.824057446E+00-0.822886386E+00 --0.821737181E+00-0.820609831E+00-0.819504338E+00-0.818420392E+00-0.817357785E+00 --0.816316515E+00-0.815296581E+00-0.814297761E+00-0.813320195E+00-0.812363773E+00 --0.811428035E+00-0.810513317E+00-0.809619384E+00-0.808746133E+00-0.807893997E+00 --0.807062348E+00-0.806251186E+00-0.805460512E+00-0.804690324E+00-0.803940629E+00 --0.803211162E+00-0.802501834E+00-0.801812645E+00-0.801143594E+00-0.800494445E+00 --0.799865072E+00-0.799255765E+00-0.798666473E+00-0.798097193E+00-0.797547535E+00 --0.797017365E+00-0.796506683E+00-0.796015404E+00-0.795543769E+00-0.795091329E+00 --0.794658282E+00-0.794244680E+00-0.793850523E+00-0.793475334E+00-0.793118994E+00 --0.792781505E+00-0.792462865E+00-0.792163171E+00-0.791882387E+00-0.791619970E+00 --0.791376552E+00-0.791151546E+00-0.790944954E+00-0.790756775E+00-0.790586554E+00 --0.790434755E+00-0.790301231E+00-0.790185584E+00-0.790087816E+00-0.790007779E+00 --0.789945528E+00-0.789901329E+00-0.789874538E+00-0.789865014E+00-0.789872758E+00 --0.789897770E+00-0.789939972E+00-0.789999197E+00-0.790075464E+00-0.790168508E+00 --0.790278327E+00-0.790404923E+00-0.790548277E+00-0.790707536E+00-0.790883085E+00 --0.791074971E+00-0.791282945E+00-0.791506846E+00-0.791746673E+00-0.792002116E+00 --0.792272949E+00-0.792559206E+00-0.792860534E+00-0.793176876E+00-0.793508375E+00 --0.793855031E+00-0.794216914E+00-0.794593385E+00-0.794984034E+00-0.795388860E+00 --0.795807864E+00-0.796241041E+00-0.796688418E+00-0.797149922E+00-0.797624843E+00 --0.798113103E+00-0.798614701E+00-0.799129638E+00-0.799657618E+00-0.800198274E+00 --0.800751767E+00-0.801318143E+00-0.801897399E+00-0.802489159E+00-0.803092700E+00 --0.803708056E+00-0.804334832E+00-0.804973906E+00-0.805624759E+00-0.806287390E+00 --0.806961800E+00-0.807647988E+00-0.808345314E+00-0.809049801E+00-0.809764595E+00 --0.810489693E+00-0.811228169E+00-0.811980416E+00-0.812742204E+00-0.813513533E+00 --0.814294403E+00-0.815084814E+00-0.815884767E+00-0.816694260E+00-0.817513294E+00 --0.818341870E+00-0.819179986E+00-0.820027644E+00-0.820884842E+00-0.821751582E+00 --0.822627863E+00-0.823513684E+00-0.824409047E+00-0.825313951E+00-0.826228396E+00 --0.827152382E+00-0.828068377E+00-0.828983916E+00-0.829878824E+00-0.830803977E+00 --0.831780326E+00-0.832758749E+00-0.833723979E+00-0.834696548E+00-0.835676455E+00 --0.836663701E+00-0.837658286E+00-0.838660209E+00-0.839686811E+00-0.840777385E+00 --0.841885565E+00-0.842967255E+00-0.844061716E+00-0.845189795E+00-0.846351490E+00 --0.847546804E+00-0.848775734E+00-0.850038282E+00-0.851334447E+00-0.852664229E+00 --0.854027628E+00-0.855424645E+00-0.856855279E+00-0.858319531E+00-0.859805073E+00 --0.861310600E+00-0.862860058E+00-0.864455564E+00-0.866066129E+00-0.867707796E+00 --0.869385507E+00-0.871099264E+00-0.872849065E+00-0.874634912E+00-0.876456803E+00 --0.878314740E+00-0.880208722E+00-0.882138748E+00-0.884104820E+00-0.886106937E+00 --0.888145099E+00-0.890220442E+00-0.892337051E+00-0.894488377E+00-0.896674418E+00 --0.898895176E+00-0.901150649E+00-0.903440839E+00-0.905765745E+00-0.908125367E+00 --0.101315507E+01-0.101159348E+01-0.101008750E+01-0.100863713E+01-0.100724238E+01 --0.100590324E+01-0.100461971E+01-0.100339179E+01-0.100221949E+01-0.100110280E+01 --0.100004172E+01-0.999036249E+00-0.998086393E+00-0.997192149E+00-0.996353517E+00 --0.995359942E+00-0.994346274E+00-0.993325976E+00-0.992299048E+00-0.991325381E+00 --0.990386091E+00-0.989395472E+00-0.988353526E+00-0.987260251E+00-0.986115647E+00 --0.984968286E+00-0.983801428E+00-0.982613147E+00-0.981403441E+00-0.980172311E+00 --0.978919756E+00-0.977645777E+00-0.976350374E+00-0.975009073E+00-0.973603039E+00 --0.972134861E+00-0.970604539E+00-0.969012074E+00-0.967356679E+00-0.965654946E+00 --0.963918232E+00-0.962146537E+00-0.960339860E+00-0.958498203E+00-0.956621564E+00 --0.954709943E+00-0.952766724E+00-0.950798832E+00-0.948754524E+00-0.946633802E+00 --0.944436666E+00-0.942163114E+00-0.939844369E+00-0.937515147E+00-0.935169139E+00 --0.932806347E+00-0.930426769E+00-0.928030407E+00-0.925617259E+00-0.923187326E+00 --0.920720512E+00-0.918256166E+00-0.915842715E+00-0.913480159E+00-0.911158430E+00 --0.908802708E+00-0.906465947E+00-0.904148146E+00-0.901849307E+00-0.899569429E+00 --0.897308512E+00-0.895066555E+00-0.892843560E+00-0.890639525E+00-0.888454452E+00 --0.886288339E+00-0.884141188E+00-0.882036146E+00-0.879989057E+00-0.877977274E+00 --0.875964672E+00-0.873979205E+00-0.872018457E+00-0.870087569E+00-0.868181177E+00 --0.866299770E+00-0.864446173E+00-0.862618878E+00-0.860815435E+00-0.859038257E+00 --0.857286450E+00-0.855558704E+00-0.853856868E+00-0.852180448E+00-0.850529157E+00 --0.848902996E+00-0.847301486E+00-0.845723415E+00-0.844168799E+00-0.842638713E+00 --0.841133547E+00-0.839652484E+00-0.838195525E+00-0.836761822E+00-0.835350590E+00 --0.833963107E+00-0.832599439E+00-0.831259613E+00-0.829943186E+00-0.828648773E+00 --0.827376372E+00-0.826126299E+00-0.824899441E+00-0.823695217E+00-0.822512975E+00 --0.821352715E+00-0.820214438E+00-0.819097870E+00-0.818002946E+00-0.816930108E+00 --0.815878606E+00-0.814848450E+00-0.813840000E+00-0.812853370E+00-0.811888000E+00 --0.810943346E+00-0.810019445E+00-0.809116375E+00-0.808234419E+00-0.807373159E+00 --0.806532596E+00-0.805712730E+00-0.804913559E+00-0.804134860E+00-0.803376133E+00 --0.802638077E+00-0.801920159E+00-0.801222332E+00-0.800544663E+00-0.799887243E+00 --0.799249522E+00-0.798631440E+00-0.798032999E+00-0.797454579E+00-0.796895725E+00 --0.796356495E+00-0.795836892E+00-0.795336917E+00-0.794856421E+00-0.794395039E+00 --0.793952753E+00-0.793529545E+00-0.793125699E+00-0.792740730E+00-0.792374639E+00 --0.792027425E+00-0.791699090E+00-0.791389632E+00-0.791099003E+00-0.790826469E+00 --0.790572732E+00-0.790337340E+00-0.790120293E+00-0.789921589E+00-0.789740872E+00 --0.789578463E+00-0.789433936E+00-0.789307291E+00-0.789198530E+00-0.789107650E+00 --0.789034127E+00-0.788978343E+00-0.788939940E+00-0.788918917E+00-0.788915274E+00 --0.788929012E+00-0.788959170E+00-0.789006571E+00-0.789070997E+00-0.789151908E+00 --0.789249305E+00-0.789363380E+00-0.789494231E+00-0.789640456E+00-0.789803599E+00 --0.789982764E+00-0.790177858E+00-0.790388879E+00-0.790615827E+00-0.790857721E+00 --0.791115479E+00-0.791388491E+00-0.791676469E+00-0.791979396E+00-0.792297384E+00 --0.792630133E+00-0.792977669E+00-0.793340046E+00-0.793716134E+00-0.794106464E+00 --0.794511036E+00-0.794929851E+00-0.795362909E+00-0.795809594E+00-0.796269387E+00 --0.796742519E+00-0.797228788E+00-0.797728263E+00-0.798241101E+00-0.798766360E+00 --0.799303676E+00-0.799853185E+00-0.800415710E+00-0.800990277E+00-0.801576350E+00 --0.802174305E+00-0.802783813E+00-0.803404509E+00-0.804036984E+00-0.804681237E+00 --0.805337269E+00-0.806003281E+00-0.806679466E+00-0.807365956E+00-0.808062752E+00 --0.808769853E+00-0.809487677E+00-0.810215840E+00-0.810953544E+00-0.811700789E+00 --0.812457576E+00-0.813223903E+00-0.813999771E+00-0.814785181E+00-0.815580131E+00 --0.816384623E+00-0.817198655E+00-0.818022229E+00-0.818855344E+00-0.819697999E+00 --0.820550196E+00-0.821411934E+00-0.822276370E+00-0.823142547E+00-0.824017046E+00 --0.824899867E+00-0.825775382E+00-0.826642406E+00-0.827507304E+00-0.828370077E+00 --0.829258414E+00-0.830186004E+00-0.831120435E+00-0.832061706E+00-0.833009817E+00 --0.833960212E+00-0.834908962E+00-0.835865051E+00-0.836828479E+00-0.837836004E+00 --0.838904230E+00-0.839919593E+00-0.840968574E+00-0.842051172E+00-0.843167387E+00 --0.844317220E+00-0.845500669E+00-0.846717736E+00-0.847968421E+00-0.849252722E+00 --0.850570641E+00-0.851922177E+00-0.853307331E+00-0.854726101E+00-0.856178489E+00 --0.857655819E+00-0.859167426E+00-0.860729290E+00-0.862313409E+00-0.863933573E+00 --0.865589783E+00-0.867282037E+00-0.869010337E+00-0.870774681E+00-0.872575071E+00 --0.874411505E+00-0.876283985E+00-0.878192510E+00-0.880137079E+00-0.882117694E+00 --0.884134354E+00-0.886187059E+00-0.888285202E+00-0.890425060E+00-0.892599633E+00 --0.894808923E+00-0.897052929E+00-0.899331651E+00-0.901645089E+00-0.903993243E+00 --0.101428583E+01-0.101279292E+01-0.101135563E+01-0.100997395E+01-0.100864788E+01 --0.100737742E+01-0.100616258E+01-0.100500334E+01-0.100389972E+01-0.100285171E+01 --0.100185932E+01-0.100092253E+01-0.100004136E+01-0.999215797E+00-0.998445849E+00 --0.997607668E+00-0.996651612E+00-0.995688927E+00-0.994777212E+00-0.993987082E+00 --0.993145624E+00-0.992252838E+00-0.991308724E+00-0.990313281E+00-0.989266510E+00 --0.988168410E+00-0.987033438E+00-0.985883775E+00-0.984712688E+00-0.983520176E+00 --0.982306240E+00-0.981070879E+00-0.979798465E+00-0.978462134E+00-0.977063659E+00 --0.975603040E+00-0.974080278E+00-0.972495371E+00-0.970848321E+00-0.969139127E+00 --0.967371925E+00-0.965568691E+00-0.963730475E+00-0.961857279E+00-0.959949101E+00 --0.958005942E+00-0.956027858E+00-0.953973836E+00-0.951843399E+00-0.949636547E+00 --0.947353281E+00-0.944993599E+00-0.942557503E+00-0.940071049E+00-0.937620709E+00 --0.935153583E+00-0.932669672E+00-0.930168976E+00-0.927651495E+00-0.925072776E+00 --0.922431901E+00-0.919841921E+00-0.917302835E+00-0.914814643E+00-0.912377346E+00 --0.909978093E+00-0.907568669E+00-0.905178206E+00-0.902806704E+00-0.900454162E+00 --0.898120582E+00-0.895805963E+00-0.893510304E+00-0.891233606E+00-0.888975870E+00 --0.886751923E+00-0.884578880E+00-0.882443777E+00-0.880346612E+00-0.878285600E+00 --0.876234370E+00-0.874210296E+00-0.872214766E+00-0.870243525E+00-0.868302078E+00 --0.866388533E+00-0.864502798E+00-0.862644872E+00-0.860814287E+00-0.859009527E+00 --0.857230551E+00-0.855476840E+00-0.853751910E+00-0.852052628E+00-0.850378515E+00 --0.848729821E+00-0.847106579E+00-0.845508789E+00-0.843936222E+00-0.842389608E+00 --0.840867403E+00-0.839369464E+00-0.837895790E+00-0.836446038E+00-0.835020548E+00 --0.833618627E+00-0.832240317E+00-0.830885923E+00-0.829556506E+00-0.828249057E+00 --0.826964352E+00-0.825702883E+00-0.824464651E+00-0.823249654E+00-0.822056909E+00 --0.820885788E+00-0.819736853E+00-0.818610625E+00-0.817506187E+00-0.816423518E+00 --0.815362213E+00-0.814322880E+00-0.813305367E+00-0.812309672E+00-0.811335355E+00 --0.810381784E+00-0.809449365E+00-0.808538320E+00-0.807647852E+00-0.806778176E+00 --0.805929246E+00-0.805101012E+00-0.804293546E+00-0.803506560E+00-0.802739877E+00 --0.801993265E+00-0.801266988E+00-0.800561078E+00-0.799875546E+00-0.799210040E+00 --0.798564174E+00-0.797937947E+00-0.797331316E+00-0.796744384E+00-0.796177238E+00 --0.795629374E+00-0.795101096E+00-0.794592444E+00-0.794103101E+00-0.793632805E+00 --0.793181705E+00-0.792749674E+00-0.792336765E+00-0.791942857E+00-0.791567568E+00 --0.791210896E+00-0.790873100E+00-0.790554182E+00-0.790253908E+00-0.789971805E+00 --0.789708150E+00-0.789462899E+00-0.789235993E+00-0.789027390E+00-0.788836565E+00 --0.788663493E+00-0.788508525E+00-0.788371441E+00-0.788252239E+00-0.788150618E+00 --0.788066364E+00-0.787999498E+00-0.787950022E+00-0.787917927E+00-0.787903212E+00 --0.787905540E+00-0.787924662E+00-0.787960579E+00-0.788013375E+00-0.788082681E+00 --0.788168472E+00-0.788270727E+00-0.788389234E+00-0.788524296E+00-0.788675289E+00 --0.788842044E+00-0.789024558E+00-0.789222833E+00-0.789436869E+00-0.789666273E+00 --0.789911013E+00-0.790170912E+00-0.790445972E+00-0.790736191E+00-0.791041571E+00 --0.791361322E+00-0.791695254E+00-0.792043826E+00-0.792406848E+00-0.792783700E+00 --0.793174380E+00-0.793578933E+00-0.793997670E+00-0.794429209E+00-0.794874342E+00 --0.795332781E+00-0.795804524E+00-0.796289583E+00-0.796787507E+00-0.797297488E+00 --0.797819527E+00-0.798353623E+00-0.798899723E+00-0.799458027E+00-0.800027912E+00 --0.800609668E+00-0.801202237E+00-0.801804555E+00-0.802418652E+00-0.803045260E+00 --0.803682836E+00-0.804330718E+00-0.804988905E+00-0.805657398E+00-0.806336196E+00 --0.807025299E+00-0.807722633E+00-0.808426712E+00-0.809140333E+00-0.809863494E+00 --0.810596196E+00-0.811338440E+00-0.812090224E+00-0.812851550E+00-0.813622416E+00 --0.814402824E+00-0.815192772E+00-0.815992262E+00-0.816800583E+00-0.817610295E+00 --0.818428330E+00-0.819254687E+00-0.820089366E+00-0.820932368E+00-0.821782747E+00 --0.822624013E+00-0.823463153E+00-0.824300167E+00-0.825135056E+00-0.825967818E+00 --0.826798454E+00-0.827648817E+00-0.828527648E+00-0.829413320E+00-0.830305833E+00 --0.831205186E+00-0.832111379E+00-0.833024412E+00-0.833944286E+00-0.834870187E+00 --0.835837487E+00-0.836807370E+00-0.837810870E+00-0.838847987E+00-0.839918721E+00 --0.841023073E+00-0.842161042E+00-0.843332629E+00-0.844537832E+00-0.845776653E+00 --0.847049092E+00-0.848355147E+00-0.849694820E+00-0.851068110E+00-0.852475017E+00 --0.853915542E+00-0.855392292E+00-0.856919799E+00-0.858482416E+00-0.860081079E+00 --0.861715786E+00-0.863386539E+00-0.865093336E+00-0.866836178E+00-0.868615066E+00 --0.870429999E+00-0.872280976E+00-0.874167999E+00-0.876091066E+00-0.878050179E+00 --0.880045337E+00-0.882076540E+00-0.884143953E+00-0.886272343E+00-0.888435449E+00 --0.890633271E+00-0.892865809E+00-0.895133063E+00-0.897435033E+00-0.899771719E+00 --0.101532386E+01-0.101389963E+01-0.101253102E+01-0.101121802E+01-0.100996064E+01 --0.100875886E+01-0.100761270E+01-0.100652215E+01-0.100548721E+01-0.100450789E+01 --0.100358417E+01-0.100271607E+01-0.100190358E+01-0.100114671E+01-0.100044544E+01 --0.999784237E+00-0.998885794E+00-0.998006848E+00-0.997365879E+00-0.996673582E+00 --0.995929956E+00-0.995135003E+00-0.994288720E+00-0.993391110E+00-0.992442171E+00 --0.991441904E+00-0.990390309E+00-0.989287765E+00-0.988155295E+00-0.987001402E+00 --0.985826084E+00-0.984620587E+00-0.983353959E+00-0.982025187E+00-0.980634271E+00 --0.979181212E+00-0.977666008E+00-0.976088661E+00-0.974449170E+00-0.972747534E+00 --0.970983756E+00-0.969157101E+00-0.967287347E+00-0.965382611E+00-0.963442895E+00 --0.961454848E+00-0.959391111E+00-0.957250960E+00-0.955034393E+00-0.952741412E+00 --0.950372015E+00-0.947926204E+00-0.945403978E+00-0.942805337E+00-0.940130281E+00 --0.937537842E+00-0.934949598E+00-0.932344568E+00-0.929668295E+00-0.926850892E+00 --0.924084382E+00-0.921368767E+00-0.918704046E+00-0.916090220E+00-0.913527288E+00 --0.911015250E+00-0.908543310E+00-0.906080183E+00-0.903636018E+00-0.901210813E+00 --0.898804570E+00-0.896417287E+00-0.894048966E+00-0.891707089E+00-0.889408093E+00 --0.887147036E+00-0.884923917E+00-0.882738738E+00-0.880591498E+00-0.878481257E+00 --0.876391457E+00-0.874330389E+00-0.872298470E+00-0.870294263E+00-0.868319056E+00 --0.866373183E+00-0.864456647E+00-0.862566627E+00-0.860706270E+00-0.858874409E+00 --0.857069912E+00-0.855294504E+00-0.853545137E+00-0.851822388E+00-0.850127750E+00 --0.848458583E+00-0.846814931E+00-0.845197830E+00-0.843607549E+00-0.842044089E+00 --0.840505951E+00-0.838991918E+00-0.837502814E+00-0.836038725E+00-0.834599213E+00 --0.833184278E+00-0.831793921E+00-0.830426557E+00-0.829084152E+00-0.827764839E+00 --0.826468762E+00-0.825195922E+00-0.823946317E+00-0.822719948E+00-0.821516816E+00 --0.820336406E+00-0.819178349E+00-0.818042600E+00-0.816928828E+00-0.815837033E+00 --0.814767216E+00-0.813719376E+00-0.812693514E+00-0.811689102E+00-0.810705840E+00 --0.809743965E+00-0.808803655E+00-0.807884820E+00-0.806986765E+00-0.806109363E+00 --0.805252491E+00-0.804416530E+00-0.803601160E+00-0.802806396E+00-0.802032232E+00 --0.801277855E+00-0.800543704E+00-0.799829920E+00-0.799136487E+00-0.798462836E+00 --0.797808934E+00-0.797174940E+00-0.796560751E+00-0.795966362E+00-0.795391403E+00 --0.794835687E+00-0.794299213E+00-0.793781987E+00-0.793284102E+00-0.792805539E+00 --0.792346001E+00-0.791905488E+00-0.791484000E+00-0.791081394E+00-0.790697391E+00 --0.790332008E+00-0.789985243E+00-0.789657094E+00-0.789347547E+00-0.789056376E+00 --0.788783540E+00-0.788528569E+00-0.788291804E+00-0.788073570E+00-0.787873149E+00 --0.787690482E+00-0.787525569E+00-0.787378086E+00-0.787248755E+00-0.787136885E+00 --0.787042394E+00-0.786965282E+00-0.786905191E+00-0.786862147E+00-0.786836769E+00 --0.786828185E+00-0.786836396E+00-0.786861400E+00-0.786903032E+00-0.786960995E+00 --0.787035428E+00-0.787126311E+00-0.787233642E+00-0.787357203E+00-0.787496528E+00 --0.787651613E+00-0.787822398E+00-0.788008860E+00-0.788211111E+00-0.788428791E+00 --0.788661321E+00-0.788908703E+00-0.789171154E+00-0.789448765E+00-0.789741536E+00 --0.790048746E+00-0.790370167E+00-0.790705798E+00-0.791055560E+00-0.791419139E+00 --0.791796547E+00-0.792187785E+00-0.792592472E+00-0.793010951E+00-0.793442347E+00 --0.793886400E+00-0.794343716E+00-0.794814167E+00-0.795296814E+00-0.795791713E+00 --0.796298882E+00-0.796818313E+00-0.797350004E+00-0.797893579E+00-0.798448428E+00 --0.799014475E+00-0.799590106E+00-0.800175737E+00-0.800774705E+00-0.801383979E+00 --0.802003558E+00-0.802633442E+00-0.803273631E+00-0.803924126E+00-0.804584927E+00 --0.805256032E+00-0.805933038E+00-0.806613033E+00-0.807302569E+00-0.808001647E+00 --0.808710265E+00-0.809428425E+00-0.810156125E+00-0.810893367E+00-0.811640149E+00 --0.812394264E+00-0.813155834E+00-0.813925727E+00-0.814703942E+00-0.815490479E+00 --0.816285339E+00-0.817088521E+00-0.817900026E+00-0.818716427E+00-0.819529809E+00 --0.820341065E+00-0.821150195E+00-0.821957199E+00-0.822762078E+00-0.823564830E+00 --0.824365456E+00-0.825163957E+00-0.825975186E+00-0.826805259E+00-0.827642173E+00 --0.828485926E+00-0.829336521E+00-0.830193955E+00-0.831058230E+00-0.831929346E+00 --0.832779441E+00-0.833628907E+00-0.834586576E+00-0.835577863E+00-0.836602766E+00 --0.837661287E+00-0.838753425E+00-0.839879180E+00-0.841038553E+00-0.842231543E+00 --0.843458150E+00-0.844718375E+00-0.846012217E+00-0.847339676E+00-0.848700752E+00 --0.850104145E+00-0.851561453E+00-0.853062329E+00-0.854599494E+00-0.856172703E+00 --0.857781958E+00-0.859427257E+00-0.861108602E+00-0.862825991E+00-0.864579426E+00 --0.866368906E+00-0.868194431E+00-0.870056000E+00-0.871953615E+00-0.873887275E+00 --0.875856980E+00-0.877880613E+00-0.879948064E+00-0.882036673E+00-0.884184899E+00 --0.886380942E+00-0.888611701E+00-0.890877176E+00-0.893177367E+00-0.895512274E+00 --0.101618349E+01-0.101482150E+01-0.101351932E+01-0.101227695E+01-0.101109439E+01 --0.100997164E+01-0.100890870E+01-0.100790557E+01-0.100696225E+01-0.100607132E+01 --0.100521629E+01-0.100441687E+01-0.100367307E+01-0.100298487E+01-0.100235229E+01 --0.100177532E+01-0.100104882E+01-0.100052248E+01-0.999979346E+00-0.999384881E+00 --0.998739088E+00-0.998041966E+00-0.997293516E+00-0.996493738E+00-0.995642631E+00 --0.994740197E+00-0.993786434E+00-0.992781342E+00-0.991724922E+00-0.990615989E+00 --0.989475438E+00-0.988278513E+00-0.987019445E+00-0.985698232E+00-0.984314875E+00 --0.982869375E+00-0.981361730E+00-0.979791942E+00-0.978160010E+00-0.976465934E+00 --0.974709714E+00-0.972891351E+00-0.971010475E+00-0.969074201E+00-0.967079802E+00 --0.965006351E+00-0.962856484E+00-0.960630203E+00-0.958327506E+00-0.955948395E+00 --0.953492869E+00-0.950960928E+00-0.948352572E+00-0.945667802E+00-0.942906616E+00 --0.940069015E+00-0.937266546E+00-0.934507071E+00-0.931513138E+00-0.928570100E+00 --0.925677956E+00-0.922836706E+00-0.920046350E+00-0.917306889E+00-0.914618322E+00 --0.911980649E+00-0.909393871E+00-0.906854078E+00-0.904337249E+00-0.901839382E+00 --0.899360475E+00-0.896901644E+00-0.894476694E+00-0.892089684E+00-0.889740612E+00 --0.887429480E+00-0.885156286E+00-0.882920629E+00-0.880725496E+00-0.878569700E+00 --0.876433495E+00-0.874333857E+00-0.872263368E+00-0.870226194E+00-0.868219258E+00 --0.866241658E+00-0.864293393E+00-0.862376342E+00-0.860490564E+00-0.858631618E+00 --0.856803141E+00-0.855003721E+00-0.853233490E+00-0.851490141E+00-0.849772928E+00 --0.848083181E+00-0.846423187E+00-0.844789615E+00-0.843182464E+00-0.841601735E+00 --0.840047731E+00-0.838519739E+00-0.837016440E+00-0.835538283E+00-0.834085323E+00 --0.832657563E+00-0.831255000E+00-0.829876851E+00-0.828522331E+00-0.827191818E+00 --0.825885390E+00-0.824602492E+00-0.823342830E+00-0.822106383E+00-0.820893417E+00 --0.819704025E+00-0.818537121E+00-0.817392467E+00-0.816270064E+00-0.815170091E+00 --0.814092138E+00-0.813036257E+00-0.812002554E+00-0.810990748E+00-0.809999981E+00 --0.809030488E+00-0.808082314E+00-0.807155694E+00-0.806250051E+00-0.805365183E+00 --0.804501280E+00-0.803658252E+00-0.802835723E+00-0.802033870E+00-0.801252581E+00 --0.800491400E+00-0.799750278E+00-0.799028864E+00-0.798327725E+00-0.797646690E+00 --0.796985460E+00-0.796344035E+00-0.795722414E+00-0.795120423E+00-0.794537651E+00 --0.793974239E+00-0.793430267E+00-0.792905728E+00-0.792399934E+00-0.791913285E+00 --0.791445747E+00-0.790997190E+00-0.790567612E+00-0.790156453E+00-0.789763871E+00 --0.789390041E+00-0.789034866E+00-0.788698348E+00-0.788380213E+00-0.788080106E+00 --0.787798027E+00-0.787534210E+00-0.787288326E+00-0.787060537E+00-0.786850556E+00 --0.786658469E+00-0.786484278E+00-0.786327332E+00-0.786188133E+00-0.786066404E+00 --0.785962029E+00-0.785875007E+00-0.785805279E+00-0.785752059E+00-0.785716042E+00 --0.785696946E+00-0.785694771E+00-0.785709518E+00-0.785740908E+00-0.785788439E+00 --0.785852105E+00-0.785931908E+00-0.786028047E+00-0.786140109E+00-0.786268125E+00 --0.786411954E+00-0.786571545E+00-0.786746899E+00-0.786937984E+00-0.787144126E+00 --0.787365117E+00-0.787600958E+00-0.787851648E+00-0.788117216E+00-0.788397705E+00 --0.788692405E+00-0.789001315E+00-0.789324436E+00-0.789661767E+00-0.790012870E+00 --0.790377414E+00-0.790755858E+00-0.791147818E+00-0.791553223E+00-0.791971483E+00 --0.792402470E+00-0.792845831E+00-0.793302652E+00-0.793771387E+00-0.794251972E+00 --0.794744818E+00-0.795249925E+00-0.795767292E+00-0.796296109E+00-0.796835922E+00 --0.797386935E+00-0.797949187E+00-0.798523259E+00-0.799106534E+00-0.799697985E+00 --0.800299566E+00-0.800911453E+00-0.801533645E+00-0.802166142E+00-0.802808945E+00 --0.803462053E+00-0.804118890E+00-0.804774802E+00-0.805440254E+00-0.806115248E+00 --0.806799782E+00-0.807494452E+00-0.808199558E+00-0.808912986E+00-0.809634737E+00 --0.810364810E+00-0.811103206E+00-0.811849924E+00-0.812604964E+00-0.813368326E+00 --0.814140011E+00-0.814920019E+00-0.815707271E+00-0.816492769E+00-0.817276141E+00 --0.818057387E+00-0.818836508E+00-0.819613502E+00-0.820388370E+00-0.821161113E+00 --0.821931729E+00-0.822700220E+00-0.823466584E+00-0.824237522E+00-0.825018836E+00 --0.825806991E+00-0.826601986E+00-0.827403822E+00-0.828212498E+00-0.829028014E+00 --0.829827609E+00-0.830624994E+00-0.831466434E+00-0.832370772E+00-0.833349705E+00 --0.834362255E+00-0.835408422E+00-0.836488207E+00-0.837601609E+00-0.838748628E+00 --0.839929265E+00-0.841143518E+00-0.842391389E+00-0.843676041E+00-0.845014765E+00 --0.846397003E+00-0.847822755E+00-0.849294496E+00-0.850804632E+00-0.852350813E+00 --0.853933039E+00-0.855551310E+00-0.857205626E+00-0.858895987E+00-0.860622394E+00 --0.862384845E+00-0.864183341E+00-0.866017883E+00-0.867897400E+00-0.869822314E+00 --0.871788783E+00-0.873796808E+00-0.875841774E+00-0.877918949E+00-0.880041688E+00 --0.882209992E+00-0.884437783E+00-0.886705343E+00-0.889007619E+00-0.891344611E+00 --0.101680349E+01-0.101549004E+01-0.101423640E+01-0.101304256E+01-0.101190854E+01 --0.101083433E+01-0.100981993E+01-0.100886535E+01-0.100797057E+01-0.100713560E+01 --0.100636045E+01-0.100564510E+01-0.100498957E+01-0.100439385E+01-0.100385794E+01 --0.100354143E+01-0.100337863E+01-0.100306514E+01-0.100261783E+01-0.100211919E+01 --0.100156922E+01-0.100096793E+01-0.100031530E+01-0.999611348E+00-0.998856066E+00 --0.998049456E+00-0.997191518E+00-0.996282251E+00-0.995321656E+00-0.994295317E+00 --0.993186105E+00-0.992000025E+00-0.990750377E+00-0.989438585E+00-0.988064650E+00 --0.986628570E+00-0.985130347E+00-0.983569980E+00-0.981947468E+00-0.980262814E+00 --0.978516015E+00-0.976707072E+00-0.974829873E+00-0.972854233E+00-0.970780350E+00 --0.968620726E+00-0.966384686E+00-0.964072232E+00-0.961683362E+00-0.959218078E+00 --0.956676379E+00-0.954058265E+00-0.951363736E+00-0.948592792E+00-0.945745434E+00 --0.942821660E+00-0.939697302E+00-0.936469569E+00-0.933338113E+00-0.930258521E+00 --0.927230793E+00-0.924254930E+00-0.921330931E+00-0.918464650E+00-0.915650448E+00 --0.912887140E+00-0.910174727E+00-0.907513209E+00-0.904910398E+00-0.902335588E+00 --0.899784685E+00-0.897263370E+00-0.894778880E+00-0.892335331E+00-0.889932721E+00 --0.887571052E+00-0.885250322E+00-0.882970532E+00-0.880731682E+00-0.878532763E+00 --0.876358416E+00-0.874218065E+00-0.872109459E+00-0.870039318E+00-0.867999850E+00 --0.865991128E+00-0.864015572E+00-0.862073182E+00-0.860160482E+00-0.858278103E+00 --0.856426648E+00-0.854603408E+00-0.852812314E+00-0.851046509E+00-0.849310251E+00 --0.847603751E+00-0.845927010E+00-0.844278799E+00-0.842657000E+00-0.841061622E+00 --0.839492665E+00-0.837949603E+00-0.836432530E+00-0.834942083E+00-0.833477226E+00 --0.832037567E+00-0.830623300E+00-0.829234448E+00-0.827869602E+00-0.826528764E+00 --0.825212538E+00-0.823920905E+00-0.822651931E+00-0.821406662E+00-0.820185015E+00 --0.818987037E+00-0.817812092E+00-0.816659398E+00-0.815529059E+00-0.814421426E+00 --0.813336318E+00-0.812273119E+00-0.811232110E+00-0.810213214E+00-0.809215591E+00 --0.808239243E+00-0.807284258E+00-0.806350902E+00-0.805438625E+00-0.804547056E+00 --0.803676387E+00-0.802826685E+00-0.801997567E+00-0.801188739E+00-0.800400694E+00 --0.799632700E+00-0.798884855E+00-0.798157321E+00-0.797449428E+00-0.796761497E+00 --0.796093364E+00-0.795445030E+00-0.794816493E+00-0.794207162E+00-0.793617143E+00 --0.793046588E+00-0.792495473E+00-0.791963742E+00-0.791450876E+00-0.790956747E+00 --0.790481372E+00-0.790024934E+00-0.789587603E+00-0.789168770E+00-0.788768429E+00 --0.788386581E+00-0.788023083E+00-0.787678210E+00-0.787351594E+00-0.787043005E+00 --0.786752432E+00-0.786480078E+00-0.786225627E+00-0.785988784E+00-0.785769873E+00 --0.785568858E+00-0.785385653E+00-0.785219765E+00-0.785071209E+00-0.784940007E+00 --0.784826162E+00-0.784729670E+00-0.784650396E+00-0.784587844E+00-0.784541970E+00 --0.784512788E+00-0.784500473E+00-0.784505127E+00-0.784526264E+00-0.784563537E+00 --0.784616906E+00-0.784686402E+00-0.784772150E+00-0.784874154E+00-0.784991799E+00 --0.785124898E+00-0.785273451E+00-0.785437693E+00-0.785617424E+00-0.785812094E+00 --0.786021885E+00-0.786246803E+00-0.786486784E+00-0.786740623E+00-0.787009533E+00 --0.787292835E+00-0.787590243E+00-0.787901757E+00-0.788227263E+00-0.788565839E+00 --0.788918865E+00-0.789284996E+00-0.789664231E+00-0.790056728E+00-0.790462214E+00 --0.790880363E+00-0.791311157E+00-0.791754595E+00-0.792210788E+00-0.792678515E+00 --0.793157742E+00-0.793648544E+00-0.794151588E+00-0.794665646E+00-0.795190573E+00 --0.795726715E+00-0.796274775E+00-0.796834157E+00-0.797402742E+00-0.797980530E+00 --0.798567522E+00-0.799163717E+00-0.799769116E+00-0.800383718E+00-0.801008250E+00 --0.801643361E+00-0.802280191E+00-0.802912019E+00-0.803559502E+00-0.804216466E+00 --0.804881752E+00-0.805555361E+00-0.806237292E+00-0.806927546E+00-0.807626122E+00 --0.808333020E+00-0.809048240E+00-0.809771783E+00-0.810503649E+00-0.811243837E+00 --0.811995540E+00-0.812755280E+00-0.813512894E+00-0.814268382E+00-0.815021744E+00 --0.815772980E+00-0.816522091E+00-0.817269075E+00-0.818013933E+00-0.818756666E+00 --0.819497272E+00-0.820235753E+00-0.820972108E+00-0.821706336E+00-0.822435824E+00 --0.823168380E+00-0.823907776E+00-0.824654013E+00-0.825407090E+00-0.826167007E+00 --0.826916101E+00-0.827670824E+00-0.828469600E+00-0.829312431E+00-0.830199316E+00 --0.831148574E+00-0.832148771E+00-0.833182585E+00-0.834250016E+00-0.835351064E+00 --0.836485730E+00-0.837654013E+00-0.838873641E+00-0.840137295E+00-0.841444463E+00 --0.842795145E+00-0.844189341E+00-0.845630124E+00-0.847113232E+00-0.848632384E+00 --0.850187582E+00-0.851778825E+00-0.853406112E+00-0.855069445E+00-0.856768823E+00 --0.858507126E+00-0.860288944E+00-0.862112318E+00-0.863977247E+00-0.865883731E+00 --0.867831771E+00-0.869821366E+00-0.871847154E+00-0.873912894E+00-0.876024198E+00 --0.878181067E+00-0.880383502E+00-0.882631500E+00-0.884935832E+00-0.887274908E+00 --0.101719890E+01-0.101593399E+01-0.101472889E+01-0.101358359E+01-0.101249811E+01 --0.101147244E+01-0.101050658E+01-0.100960054E+01-0.100875430E+01-0.100796787E+01 --0.100724126E+01-0.100657445E+01-0.100608336E+01-0.100573043E+01-0.100546394E+01 --0.100528387E+01-0.100519259E+01-0.100507720E+01-0.100488133E+01-0.100450228E+01 --0.100404553E+01-0.100353744E+01-0.100297802E+01-0.100236728E+01-0.100170521E+01 --0.100099181E+01-0.100022708E+01-0.999400831E+00-0.998487358E+00-0.997495720E+00 --0.996425914E+00-0.995277942E+00-0.994051804E+00-0.992751143E+00-0.991389054E+00 --0.989964820E+00-0.988478443E+00-0.986929922E+00-0.985319257E+00-0.983646448E+00 --0.981910647E+00-0.980085755E+00-0.978166734E+00-0.976153582E+00-0.974046300E+00 --0.971844887E+00-0.969532917E+00-0.967134233E+00-0.964659135E+00-0.962107621E+00 --0.959479693E+00-0.956775349E+00-0.953994591E+00-0.951137418E+00-0.948158307E+00 --0.944930342E+00-0.941579356E+00-0.938240264E+00-0.934988191E+00-0.931787982E+00 --0.928639637E+00-0.925543156E+00-0.922498539E+00-0.919505787E+00-0.916564899E+00 --0.913675875E+00-0.910838715E+00-0.908055586E+00-0.905348068E+00-0.902667263E+00 --0.900030716E+00-0.897438430E+00-0.894905203E+00-0.892417936E+00-0.889971610E+00 --0.887566224E+00-0.885201777E+00-0.882878270E+00-0.880595704E+00-0.878353662E+00 --0.876143632E+00-0.873967597E+00-0.871829076E+00-0.869723085E+00-0.867653001E+00 --0.865617300E+00-0.863614766E+00-0.861645888E+00-0.859710290E+00-0.857805618E+00 --0.855931884E+00-0.854090925E+00-0.852278851E+00-0.850496119E+00-0.848743298E+00 --0.847020236E+00-0.845326932E+00-0.843663386E+00-0.842028301E+00-0.840418274E+00 --0.838834746E+00-0.837280394E+00-0.835752109E+00-0.834249893E+00-0.832773744E+00 --0.831322795E+00-0.829898784E+00-0.828499239E+00-0.827124700E+00-0.825775169E+00 --0.824450644E+00-0.823150490E+00-0.821873857E+00-0.820620776E+00-0.819391249E+00 --0.818185189E+00-0.817002625E+00-0.815842796E+00-0.814705702E+00-0.813591344E+00 --0.812499721E+00-0.811429818E+00-0.810382341E+00-0.809356610E+00-0.808352453E+00 --0.807369940E+00-0.806409073E+00-0.805469851E+00-0.804551729E+00-0.803654286E+00 --0.802777540E+00-0.801921492E+00-0.801086290E+00-0.800271371E+00-0.799476793E+00 --0.798702584E+00-0.797948744E+00-0.797215239E+00-0.796501478E+00-0.795807322E+00 --0.795132751E+00-0.794477803E+00-0.793842683E+00-0.793227013E+00-0.792630552E+00 --0.792053215E+00-0.791494957E+00-0.790956191E+00-0.790436252E+00-0.789935050E+00 --0.789452812E+00-0.788989179E+00-0.788544386E+00-0.788118028E+00-0.787710103E+00 --0.787320612E+00-0.786949554E+00-0.786596682E+00-0.786261831E+00-0.785945214E+00 --0.785646832E+00-0.785366648E+00-0.785104147E+00-0.784859166E+00-0.784631705E+00 --0.784421803E+00-0.784229831E+00-0.784055231E+00-0.783897963E+00-0.783758026E+00 --0.783634858E+00-0.783529089E+00-0.783440589E+00-0.783368770E+00-0.783313629E+00 --0.783275169E+00-0.783253506E+00-0.783248309E+00-0.783259391E+00-0.783286725E+00 --0.783330310E+00-0.783390146E+00-0.783466234E+00-0.783558399E+00-0.783665974E+00 --0.783789002E+00-0.783927488E+00-0.784081276E+00-0.784250231E+00-0.784434281E+00 --0.784633447E+00-0.784847738E+00-0.785076724E+00-0.785320228E+00-0.785578174E+00 --0.785850176E+00-0.786136283E+00-0.786436496E+00-0.786750592E+00-0.787078523E+00 --0.787419987E+00-0.787774555E+00-0.788142151E+00-0.788522617E+00-0.788916489E+00 --0.789322613E+00-0.789740946E+00-0.790171903E+00-0.790615342E+00-0.791070250E+00 --0.791536657E+00-0.792014565E+00-0.792503657E+00-0.793004297E+00-0.793515492E+00 --0.794037697E+00-0.794571565E+00-0.795116256E+00-0.795670150E+00-0.796233248E+00 --0.796805549E+00-0.797387054E+00-0.797977762E+00-0.798576935E+00-0.799184317E+00 --0.799800865E+00-0.800428131E+00-0.801062132E+00-0.801687599E+00-0.802321388E+00 --0.802963499E+00-0.803613933E+00-0.804272689E+00-0.804939768E+00-0.805615169E+00 --0.806298893E+00-0.806990938E+00-0.807691307E+00-0.808399997E+00-0.809128598E+00 --0.809860454E+00-0.810590184E+00-0.811317788E+00-0.812043266E+00-0.812766618E+00 --0.813487844E+00-0.814206944E+00-0.814923919E+00-0.815638767E+00-0.816351490E+00 --0.817062086E+00-0.817770557E+00-0.818476902E+00-0.819181120E+00-0.819883213E+00 --0.820570092E+00-0.821253889E+00-0.821944527E+00-0.822642005E+00-0.823346324E+00 --0.824044917E+00-0.824756977E+00-0.825513091E+00-0.826313259E+00-0.827157481E+00 --0.828045757E+00-0.828978087E+00-0.829962314E+00-0.830983774E+00-0.832038852E+00 --0.833138081E+00-0.834283150E+00-0.835471734E+00-0.836703833E+00-0.837979445E+00 --0.839298571E+00-0.840661212E+00-0.842069214E+00-0.843525293E+00-0.845017417E+00 --0.846545586E+00-0.848109801E+00-0.849709790E+00-0.851348513E+00-0.853028791E+00 --0.854750625E+00-0.856514014E+00-0.858318958E+00-0.860165457E+00-0.862053513E+00 --0.863983123E+00-0.865954289E+00-0.867964203E+00-0.870018508E+00-0.872118377E+00 --0.874263812E+00-0.876454811E+00-0.878691375E+00-0.880973504E+00-0.883303167E+00 --0.101736973E+01-0.101615335E+01-0.101499679E+01-0.101390004E+01-0.101286310E+01 --0.101188597E+01-0.101096865E+01-0.101011114E+01-0.100931344E+01-0.100864783E+01 --0.100809935E+01-0.100763731E+01-0.100726170E+01-0.100697253E+01-0.100676979E+01 --0.100665349E+01-0.100663372E+01-0.100660296E+01-0.100649171E+01-0.100629998E+01 --0.100602556E+01-0.100561068E+01-0.100514447E+01-0.100462694E+01-0.100405808E+01 --0.100343322E+01-0.100271549E+01-0.100191959E+01-0.100104553E+01-0.100009329E+01 --0.999062894E+00-0.997954329E+00-0.996767597E+00-0.995502698E+00-0.994159633E+00 --0.992738694E+00-0.991264162E+00-0.989728764E+00-0.988148752E+00-0.986474609E+00 --0.984706336E+00-0.982843933E+00-0.980887399E+00-0.978836735E+00-0.976691941E+00 --0.974453016E+00-0.972119961E+00-0.969692776E+00-0.967136159E+00-0.964498416E+00 --0.961784259E+00-0.958993686E+00-0.956124046E+00-0.953050596E+00-0.949854126E+00 --0.946534635E+00-0.943092123E+00-0.939641672E+00-0.936268981E+00-0.932948155E+00 --0.929679192E+00-0.926462094E+00-0.923296860E+00-0.920183491E+00-0.917121985E+00 --0.914112344E+00-0.911186513E+00-0.908350370E+00-0.905594345E+00-0.902867311E+00 --0.900184537E+00-0.897546022E+00-0.894951767E+00-0.892401772E+00-0.889896036E+00 --0.887434559E+00-0.885017343E+00-0.882644386E+00-0.880317561E+00-0.878032396E+00 --0.875785563E+00-0.873576718E+00-0.871408346E+00-0.869277038E+00-0.867180231E+00 --0.865118161E+00-0.863089333E+00-0.861097877E+00-0.859138146E+00-0.857211597E+00 --0.855318841E+00-0.853459878E+00-0.851632985E+00-0.849835672E+00-0.848067919E+00 --0.846329728E+00-0.844621098E+00-0.842942029E+00-0.841292120E+00-0.839671529E+00 --0.838074888E+00-0.836509324E+00-0.834969715E+00-0.833456490E+00-0.831970469E+00 --0.830511652E+00-0.829079346E+00-0.827671836E+00-0.826289137E+00-0.824931262E+00 --0.823598611E+00-0.822290512E+00-0.821006139E+00-0.819745826E+00-0.818509572E+00 --0.817297376E+00-0.816109026E+00-0.814943402E+00-0.813800361E+00-0.812679904E+00 --0.811582031E+00-0.810506225E+00-0.809452980E+00-0.808421742E+00-0.807412100E+00 --0.806424054E+00-0.805457603E+00-0.804512695E+00-0.803588576E+00-0.802685673E+00 --0.801803702E+00-0.800942664E+00-0.800101707E+00-0.799281617E+00-0.798481966E+00 --0.797702257E+00-0.796942490E+00-0.796202992E+00-0.795483363E+00-0.794783341E+00 --0.794102993E+00-0.793442385E+00-0.792801076E+00-0.792179221E+00-0.791576581E+00 --0.790993153E+00-0.790428767E+00-0.789883166E+00-0.789356604E+00-0.788849052E+00 --0.788360379E+00-0.787890051E+00-0.787438117E+00-0.787004741E+00-0.786589798E+00 --0.786193300E+00-0.785814997E+00-0.785454736E+00-0.785112518E+00-0.784788154E+00 --0.784481979E+00-0.784193874E+00-0.783923325E+00-0.783670294E+00-0.783434834E+00 --0.783217000E+00-0.783016880E+00-0.782833945E+00-0.782668178E+00-0.782519579E+00 --0.782388092E+00-0.782273498E+00-0.782175916E+00-0.782095213E+00-0.782031389E+00 --0.781984433E+00-0.781953544E+00-0.781939339E+00-0.781941699E+00-0.781959951E+00 --0.781994095E+00-0.782044271E+00-0.782110699E+00-0.782193182E+00-0.782290687E+00 --0.782404218E+00-0.782533122E+00-0.782677194E+00-0.782836434E+00-0.783010842E+00 --0.783199870E+00-0.783403988E+00-0.783622640E+00-0.783855809E+00-0.784103496E+00 --0.784364569E+00-0.784640372E+00-0.784930009E+00-0.785233480E+00-0.785550767E+00 --0.785880668E+00-0.786224380E+00-0.786581093E+00-0.786950711E+00-0.787333235E+00 --0.787728033E+00-0.788134875E+00-0.788553763E+00-0.788984795E+00-0.789427452E+00 --0.789881333E+00-0.790346912E+00-0.790824013E+00-0.791312431E+00-0.791811105E+00 --0.792319889E+00-0.792839555E+00-0.793369556E+00-0.793908260E+00-0.794455957E+00 --0.795012821E+00-0.795578851E+00-0.796154049E+00-0.796738414E+00-0.797331946E+00 --0.797934645E+00-0.798547587E+00-0.799168377E+00-0.799793607E+00-0.800423278E+00 --0.801042909E+00-0.801670168E+00-0.802305750E+00-0.802949654E+00-0.803601880E+00 --0.804262428E+00-0.804931299E+00-0.805612722E+00-0.806318820E+00-0.807022792E+00 --0.807724638E+00-0.808424358E+00-0.809121952E+00-0.809817420E+00-0.810510762E+00 --0.811201978E+00-0.811891069E+00-0.812578033E+00-0.813262872E+00-0.813945584E+00 --0.814626171E+00-0.815304631E+00-0.815980966E+00-0.816655175E+00-0.817327258E+00 --0.817997215E+00-0.818640327E+00-0.819275365E+00-0.819917245E+00-0.820565964E+00 --0.821214058E+00-0.821883454E+00-0.822596905E+00-0.823354410E+00-0.824155969E+00 --0.825001583E+00-0.825891250E+00-0.826824971E+00-0.827805092E+00-0.828833554E+00 --0.829904570E+00-0.831018084E+00-0.832175112E+00-0.833375655E+00-0.834619712E+00 --0.835907282E+00-0.837238367E+00-0.838612966E+00-0.840040816E+00-0.841505394E+00 --0.843001021E+00-0.844538204E+00-0.846116942E+00-0.847737235E+00-0.849399084E+00 --0.851102488E+00-0.852847447E+00-0.854633962E+00-0.856462032E+00-0.858331658E+00 --0.860242839E+00-0.862195616E+00-0.864192921E+00-0.866235791E+00-0.868324225E+00 --0.870458225E+00-0.872637789E+00-0.874862918E+00-0.877133612E+00-0.879449373E+00 --0.101731596E+01-0.101614813E+01-0.101504010E+01-0.101399189E+01-0.101300349E+01 --0.101207490E+01-0.101123484E+01-0.101049081E+01-0.100983322E+01-0.100926206E+01 --0.100877734E+01-0.100837905E+01-0.100806720E+01-0.100784179E+01-0.100770281E+01 --0.100765027E+01-0.100770202E+01-0.100775589E+01-0.100772927E+01-0.100762217E+01 --0.100743458E+01-0.100716650E+01-0.100681465E+01-0.100639033E+01-0.100587050E+01 --0.100527034E+01-0.100459202E+01-0.100383552E+01-0.100300173E+01-0.100209039E+01 --0.100109953E+01-0.100002912E+01-0.998879184E+00-0.997649710E+00-0.996340701E+00 --0.994951718E+00-0.993471667E+00-0.991971999E+00-0.990374096E+00-0.988677956E+00 --0.986883580E+00-0.984990967E+00-0.983000119E+00-0.980911035E+00-0.978723714E+00 --0.976444950E+00-0.974074383E+00-0.971609685E+00-0.969050858E+00-0.966390464E+00 --0.963590077E+00-0.960675584E+00-0.957633630E+00-0.954468654E+00-0.951180657E+00 --0.947769640E+00-0.944235602E+00-0.940673793E+00-0.937180485E+00-0.933739041E+00 --0.930349461E+00-0.927011745E+00-0.923725894E+00-0.920491907E+00-0.917334368E+00 --0.914274638E+00-0.911302173E+00-0.908416973E+00-0.905612435E+00-0.902839173E+00 --0.900110171E+00-0.897425428E+00-0.894784944E+00-0.892188721E+00-0.889636757E+00 --0.887129052E+00-0.884665608E+00-0.882246422E+00-0.879877733E+00-0.877566337E+00 --0.875282427E+00-0.873042937E+00-0.870844353E+00-0.868687727E+00-0.866566685E+00 --0.864480231E+00-0.862430980E+00-0.860420056E+00-0.858442516E+00-0.856498123E+00 --0.854587233E+00-0.852710267E+00-0.850868554E+00-0.849056686E+00-0.847274380E+00 --0.845521578E+00-0.843799042E+00-0.842106959E+00-0.840445330E+00-0.838814155E+00 --0.837211660E+00-0.835635028E+00-0.834085918E+00-0.832564519E+00-0.831070323E+00 --0.829603331E+00-0.828163522E+00-0.826748842E+00-0.825358974E+00-0.823993689E+00 --0.822653401E+00-0.821339011E+00-0.820049897E+00-0.818784297E+00-0.817542213E+00 --0.816323953E+00-0.815129756E+00-0.813959107E+00-0.812810486E+00-0.811684835E+00 --0.810581919E+00-0.809501363E+00-0.808443166E+00-0.807407282E+00-0.806392799E+00 --0.805399912E+00-0.804428665E+00-0.803478802E+00-0.802550290E+00-0.801642473E+00 --0.800755452E+00-0.799889381E+00-0.799044021E+00-0.798219330E+00-0.797414745E+00 --0.796630103E+00-0.795865434E+00-0.795120603E+00-0.794395546E+00-0.793690362E+00 --0.793004911E+00-0.792339101E+00-0.791692396E+00-0.791064776E+00-0.790456429E+00 --0.789867313E+00-0.789297156E+00-0.788745782E+00-0.788213026E+00-0.787699160E+00 --0.787204182E+00-0.786727533E+00-0.786269212E+00-0.785829290E+00-0.785407849E+00 --0.785004450E+00-0.784619094E+00-0.784251780E+00-0.783902508E+00-0.783571278E+00 --0.783257873E+00-0.782961910E+00-0.782683702E+00-0.782423118E+00-0.782180159E+00 --0.781954824E+00-0.781746837E+00-0.781555972E+00-0.781382275E+00-0.781225825E+00 --0.781086213E+00-0.780963438E+00-0.780857459E+00-0.780768231E+00-0.780695891E+00 --0.780640312E+00-0.780601123E+00-0.780578322E+00-0.780571949E+00-0.780581508E+00 --0.780606960E+00-0.780648305E+00-0.780705542E+00-0.780778572E+00-0.780867405E+00 --0.780971514E+00-0.781090911E+00-0.781225594E+00-0.781375565E+00-0.781540823E+00 --0.781720829E+00-0.781915026E+00-0.782123946E+00-0.782347393E+00-0.782585311E+00 --0.782837519E+00-0.783103417E+00-0.783382963E+00-0.783676154E+00-0.783982720E+00 --0.784302688E+00-0.784635742E+00-0.784981817E+00-0.785340912E+00-0.785712836E+00 --0.786096870E+00-0.786492948E+00-0.786901071E+00-0.787320958E+00-0.787752479E+00 --0.788194676E+00-0.788648442E+00-0.789113730E+00-0.789589928E+00-0.790076121E+00 --0.790572068E+00-0.791078753E+00-0.791595450E+00-0.792120130E+00-0.792653977E+00 --0.793196991E+00-0.793749172E+00-0.794310520E+00-0.794881036E+00-0.795460718E+00 --0.796049567E+00-0.796648186E+00-0.797253817E+00-0.797863888E+00-0.798478400E+00 --0.799097352E+00-0.799720744E+00-0.800336473E+00-0.800957202E+00-0.801586253E+00 --0.802223627E+00-0.802887993E+00-0.803566207E+00-0.804242294E+00-0.804916256E+00 --0.805588092E+00-0.806257802E+00-0.806925387E+00-0.807590845E+00-0.808254177E+00 --0.808915383E+00-0.809574464E+00-0.810231418E+00-0.810886247E+00-0.811538949E+00 --0.812189526E+00-0.812837977E+00-0.813484301E+00-0.814128500E+00-0.814770573E+00 --0.815410520E+00-0.816048341E+00-0.816646528E+00-0.817232808E+00-0.817825928E+00 --0.818423522E+00-0.819050256E+00-0.819721044E+00-0.820435886E+00-0.821194782E+00 --0.821997732E+00-0.822848271E+00-0.823753017E+00-0.824705548E+00-0.825705652E+00 --0.826749786E+00-0.827836902E+00-0.828966998E+00-0.830140076E+00-0.831356135E+00 --0.832615176E+00-0.833917197E+00-0.835261134E+00-0.836646646E+00-0.838081284E+00 --0.839557479E+00-0.841075229E+00-0.842634534E+00-0.844235394E+00-0.845877810E+00 --0.847561781E+00-0.849287308E+00-0.851054390E+00-0.852863028E+00-0.854713221E+00 --0.856604969E+00-0.858546562E+00-0.860531653E+00-0.862561498E+00-0.864636536E+00 --0.866756769E+00-0.868922196E+00-0.871132816E+00-0.873388630E+00-0.875689638E+00 --0.101703761E+01-0.101591831E+01-0.101485883E+01-0.101384438E+01-0.101290480E+01 --0.101205166E+01-0.101128496E+01-0.101060469E+01-0.101001086E+01-0.100950346E+01 --0.100908250E+01-0.100874797E+01-0.100849988E+01-0.100833822E+01-0.100826300E+01 --0.100827422E+01-0.100839749E+01-0.100853599E+01-0.100859400E+01-0.100857152E+01 --0.100846856E+01-0.100828511E+01-0.100800871E+01-0.100763481E+01-0.100715815E+01 --0.100659816E+01-0.100595864E+01-0.100523958E+01-0.100444098E+01-0.100356285E+01 --0.100260519E+01-0.100156799E+01-0.100045125E+01-0.999254981E+00-0.997968668E+00 --0.996590107E+00-0.995122060E+00-0.993611448E+00-0.992002601E+00-0.990295517E+00 --0.988490198E+00-0.986586642E+00-0.984584850E+00-0.982484821E+00-0.980286557E+00 --0.977990056E+00-0.975595319E+00-0.973102346E+00-0.970482015E+00-0.967747827E+00 --0.964903029E+00-0.961907407E+00-0.958773926E+00-0.955517424E+00-0.952137901E+00 --0.948635358E+00-0.945009794E+00-0.941336626E+00-0.937722700E+00-0.934160639E+00 --0.930650442E+00-0.927192109E+00-0.923799326E+00-0.920516011E+00-0.917319960E+00 --0.914211174E+00-0.911189653E+00-0.908255396E+00-0.905402339E+00-0.902582848E+00 --0.899807618E+00-0.897076647E+00-0.894389935E+00-0.891747484E+00-0.889149291E+00 --0.886595359E+00-0.884093431E+00-0.881653468E+00-0.879267159E+00-0.876933081E+00 --0.874627697E+00-0.872362673E+00-0.870137097E+00-0.867953858E+00-0.865807781E+00 --0.863701614E+00-0.861635357E+00-0.859608786E+00-0.857616668E+00-0.855657695E+00 --0.853731868E+00-0.851838124E+00-0.849978479E+00-0.848154824E+00-0.846361415E+00 --0.844598853E+00-0.842866745E+00-0.841165091E+00-0.839493890E+00-0.837853144E+00 --0.836242259E+00-0.834658855E+00-0.833102693E+00-0.831573772E+00-0.830072093E+00 --0.828597656E+00-0.827149971E+00-0.825728382E+00-0.824332460E+00-0.822962173E+00 --0.821617320E+00-0.820297902E+00-0.819003899E+00-0.817734031E+00-0.816487677E+00 --0.815264839E+00-0.814065515E+00-0.812889545E+00-0.811736579E+00-0.810607260E+00 --0.809500267E+00-0.808415599E+00-0.807353256E+00-0.806313239E+00-0.805294817E+00 --0.804298020E+00-0.803322864E+00-0.802368946E+00-0.801436266E+00-0.800524772E+00 --0.799633660E+00-0.798763261E+00-0.797913574E+00-0.797084533E+00-0.796275028E+00 --0.795486407E+00-0.794717512E+00-0.793968343E+00-0.793238898E+00-0.792529113E+00 --0.791838556E+00-0.791167898E+00-0.790516270E+00-0.789883671E+00-0.789270169E+00 --0.788675767E+00-0.788100130E+00-0.787543256E+00-0.787005147E+00-0.786485521E+00 --0.785984298E+00-0.785501594E+00-0.785037409E+00-0.784591618E+00-0.784163680E+00 --0.783753816E+00-0.783362014E+00-0.782988221E+00-0.782632436E+00-0.782294659E+00 --0.781974666E+00-0.781672039E+00-0.781386775E+00-0.781118874E+00-0.780868335E+00 --0.780635468E+00-0.780419841E+00-0.780221774E+00-0.780040663E+00-0.779876390E+00 --0.779728954E+00-0.779598361E+00-0.779484761E+00-0.779387818E+00-0.779307577E+00 --0.779243756E+00-0.779196294E+00-0.779165190E+00-0.779150280E+00-0.779151269E+00 --0.779168309E+00-0.779201401E+00-0.779250544E+00-0.779315265E+00-0.779395233E+00 --0.779491151E+00-0.779602034E+00-0.779727881E+00-0.779868928E+00-0.780025259E+00 --0.780196351E+00-0.780381861E+00-0.780581789E+00-0.780796125E+00-0.781024565E+00 --0.781267298E+00-0.781523709E+00-0.781793820E+00-0.782077618E+00-0.782375066E+00 --0.782685811E+00-0.783009161E+00-0.783345149E+00-0.783694085E+00-0.784055622E+00 --0.784429190E+00-0.784814985E+00-0.785213094E+00-0.785623438E+00-0.786044791E+00 --0.786476795E+00-0.786919452E+00-0.787372809E+00-0.787836897E+00-0.788311311E+00 --0.788796105E+00-0.789292066E+00-0.789798157E+00-0.790311967E+00-0.790833140E+00 --0.791362304E+00-0.791900636E+00-0.792448134E+00-0.793004800E+00-0.793570633E+00 --0.794145632E+00-0.794729928E+00-0.795320400E+00-0.795915312E+00-0.796514665E+00 --0.797118457E+00-0.797726691E+00-0.798339364E+00-0.798956478E+00-0.799568290E+00 --0.800220428E+00-0.800870758E+00-0.801518962E+00-0.802165040E+00-0.802808992E+00 --0.803450818E+00-0.804090518E+00-0.804728092E+00-0.805363540E+00-0.805996863E+00 --0.806628059E+00-0.807257129E+00-0.807884074E+00-0.808508892E+00-0.809131585E+00 --0.809752152E+00-0.810370593E+00-0.810986907E+00-0.811601096E+00-0.812213159E+00 --0.812823096E+00-0.813430907E+00-0.814036593E+00-0.814588695E+00-0.815126217E+00 --0.815673310E+00-0.816257381E+00-0.816885506E+00-0.817557685E+00-0.818275783E+00 --0.819057003E+00-0.819886007E+00-0.820762796E+00-0.821687370E+00-0.822659728E+00 --0.823676890E+00-0.824736697E+00-0.825839485E+00-0.826985255E+00-0.828174005E+00 --0.829405738E+00-0.830680410E+00-0.831998929E+00-0.833361496E+00-0.834768109E+00 --0.836219775E+00-0.837716546E+00-0.839254872E+00-0.840834754E+00-0.842456190E+00 --0.844119183E+00-0.845823730E+00-0.847569833E+00-0.849357492E+00-0.851190810E+00 --0.853070654E+00-0.854995710E+00-0.856965979E+00-0.858981308E+00-0.861041825E+00 --0.863147535E+00-0.865298439E+00-0.867494537E+00-0.869735829E+00-0.872022314E+00 --0.101647645E+01-0.101534133E+01-0.101429264E+01-0.101333039E+01-0.101245457E+01 --0.101166519E+01-0.101096225E+01-0.101034574E+01-0.100981566E+01-0.100937202E+01 --0.100901482E+01-0.100874405E+01-0.100855972E+01-0.100846182E+01-0.100845036E+01 --0.100852534E+01-0.100872013E+01-0.100894326E+01-0.100908590E+01-0.100914805E+01 --0.100911140E+01-0.100896563E+01-0.100872522E+01-0.100839018E+01-0.100796051E+01 --0.100743679E+01-0.100683047E+01-0.100614461E+01-0.100537922E+01-0.100453430E+01 --0.100360983E+01-0.100260584E+01-0.100151536E+01-0.100033128E+01-0.999056271E+00 --0.997690345E+00-0.996234301E+00-0.994712746E+00-0.993092955E+00-0.991374928E+00 --0.989558665E+00-0.987644165E+00-0.985631429E+00-0.983520457E+00-0.981305138E+00 --0.978973382E+00-0.976538191E+00-0.973999563E+00-0.971357499E+00-0.968612473E+00 --0.965738289E+00-0.962711960E+00-0.959533484E+00-0.956196907E+00-0.952725858E+00 --0.949131788E+00-0.945414698E+00-0.941630171E+00-0.937895628E+00-0.934212949E+00 --0.930582135E+00-0.927074488E+00-0.923654851E+00-0.920322480E+00-0.917077372E+00 --0.913919530E+00-0.910848952E+00-0.907865639E+00-0.904964055E+00-0.902098337E+00 --0.899276878E+00-0.896499679E+00-0.893766739E+00-0.891078059E+00-0.888442566E+00 --0.885872518E+00-0.883356123E+00-0.880893382E+00-0.878484294E+00-0.876127533E+00 --0.873800675E+00-0.871514734E+00-0.869273335E+00-0.867072651E+00-0.864910346E+00 --0.862787164E+00-0.860703902E+00-0.858660549E+00-0.856654160E+00-0.854680607E+00 --0.852741819E+00-0.850838360E+00-0.848969375E+00-0.847134864E+00-0.845333948E+00 --0.843563300E+00-0.841822885E+00-0.840112704E+00-0.838432757E+00-0.836782614E+00 --0.835164787E+00-0.833574604E+00-0.832012000E+00-0.830477244E+00-0.828970334E+00 --0.827491271E+00-0.826038927E+00-0.824612409E+00-0.823213346E+00-0.821839103E+00 --0.820489681E+00-0.819165694E+00-0.817867145E+00-0.816594030E+00-0.815343799E+00 --0.814116691E+00-0.812913580E+00-0.811734268E+00-0.810578470E+00-0.809446053E+00 --0.808336022E+00-0.807248315E+00-0.806182935E+00-0.805139752E+00-0.804118196E+00 --0.803118201E+00-0.802139743E+00-0.801182575E+00-0.800246750E+00-0.799331952E+00 --0.798437616E+00-0.797563745E+00-0.796710267E+00-0.795877421E+00-0.795065149E+00 --0.794272604E+00-0.793499768E+00-0.792746640E+00-0.792013220E+00-0.791299326E+00 --0.790604284E+00-0.789929020E+00-0.789273022E+00-0.788636273E+00-0.788018198E+00 --0.787418747E+00-0.786838205E+00-0.786276427E+00-0.785733361E+00-0.785208567E+00 --0.784702024E+00-0.784213710E+00-0.783743856E+00-0.783292451E+00-0.782858927E+00 --0.782443210E+00-0.782045216E+00-0.781664997E+00-0.781302787E+00-0.780958663E+00 --0.780632065E+00-0.780322829E+00-0.780030957E+00-0.779756406E+00-0.779499192E+00 --0.779259345E+00-0.779036913E+00-0.778831641E+00-0.778643287E+00-0.778471851E+00 --0.778317332E+00-0.778179532E+00-0.778058300E+00-0.777953736E+00-0.777865866E+00 --0.777794438E+00-0.777739369E+00-0.777700580E+00-0.777677809E+00-0.777671045E+00 --0.777680156E+00-0.777705212E+00-0.777746321E+00-0.777803069E+00-0.777875231E+00 --0.777962857E+00-0.778065679E+00-0.778183466E+00-0.778316217E+00-0.778463708E+00 --0.778626196E+00-0.778803260E+00-0.778994685E+00-0.779200472E+00-0.779420621E+00 --0.779654914E+00-0.779902659E+00-0.780164003E+00-0.780438994E+00-0.780727631E+00 --0.781029353E+00-0.781343681E+00-0.781670779E+00-0.782010455E+00-0.782362480E+00 --0.782726516E+00-0.783102867E+00-0.783491605E+00-0.783892145E+00-0.784303337E+00 --0.784725184E+00-0.785157967E+00-0.785601859E+00-0.786056369E+00-0.786520526E+00 --0.786994566E+00-0.787479801E+00-0.787975223E+00-0.788478363E+00-0.788989224E+00 --0.789507803E+00-0.790033242E+00-0.790566891E+00-0.791109707E+00-0.791661690E+00 --0.792222840E+00-0.792792813E+00-0.793368125E+00-0.793947879E+00-0.794532072E+00 --0.795120706E+00-0.795713781E+00-0.796311175E+00-0.796903435E+00-0.797513301E+00 --0.798157826E+00-0.798797406E+00-0.799432042E+00-0.800061733E+00-0.800686481E+00 --0.801306285E+00-0.801921144E+00-0.802531060E+00-0.803136031E+00-0.803738819E+00 --0.804340005E+00-0.804939066E+00-0.805536000E+00-0.806130809E+00-0.806723491E+00 --0.807314048E+00-0.807902479E+00-0.808488784E+00-0.809072963E+00-0.809655016E+00 --0.810234943E+00-0.810812744E+00-0.811388419E+00-0.811961969E+00-0.812466829E+00 --0.812963421E+00-0.813504830E+00-0.814090292E+00-0.814744880E+00-0.815450357E+00 --0.816203620E+00-0.817004667E+00-0.817853498E+00-0.818750115E+00-0.819694515E+00 --0.820686307E+00-0.821718805E+00-0.822794285E+00-0.823912746E+00-0.825074266E+00 --0.826282152E+00-0.827534085E+00-0.828830066E+00-0.830170093E+00-0.831554168E+00 --0.832982289E+00-0.834454458E+00-0.835970918E+00-0.837529821E+00-0.839130278E+00 --0.840772291E+00-0.842455860E+00-0.844182289E+00-0.845954437E+00-0.847771798E+00 --0.849634372E+00-0.851542158E+00-0.853495156E+00-0.855493531E+00-0.857539525E+00 --0.859630713E+00-0.861767094E+00-0.863948670E+00-0.866175439E+00-0.868445093E+00 --0.101539836E+01-0.101432700E+01-0.101334207E+01-0.101244357E+01-0.101163152E+01 --0.101090589E+01-0.101026671E+01-0.100971396E+01-0.100924764E+01-0.100886776E+01 --0.100857432E+01-0.100836731E+01-0.100824673E+01-0.100821260E+01-0.100826489E+01 --0.100840363E+01-0.100866994E+01-0.100897769E+01-0.100918901E+01-0.100927135E+01 --0.100925906E+01-0.100915215E+01-0.100895059E+01-0.100865441E+01-0.100826360E+01 --0.100777815E+01-0.100720129E+01-0.100654863E+01-0.100581644E+01-0.100500472E+01 --0.100410968E+01-0.100312007E+01-0.100203954E+01-0.100086809E+01-0.999605723E+00 --0.998252432E+00-0.996808392E+00-0.995275894E+00-0.993645159E+00-0.991916188E+00 --0.990088981E+00-0.988159888E+00-0.986127129E+00-0.983990935E+00-0.981751304E+00 --0.979408236E+00-0.976961733E+00-0.974411794E+00-0.971758418E+00-0.968996570E+00 --0.966089113E+00-0.963029509E+00-0.959817759E+00-0.956453863E+00-0.952937821E+00 --0.949258931E+00-0.945450315E+00-0.941554429E+00-0.937699269E+00-0.933950070E+00 --0.930306847E+00-0.926750890E+00-0.923282196E+00-0.919900768E+00-0.916606605E+00 --0.913399706E+00-0.910280072E+00-0.907247702E+00-0.904297585E+00-0.901385639E+00 --0.898517952E+00-0.895694524E+00-0.892925138E+00-0.890225004E+00-0.887578524E+00 --0.884985696E+00-0.882446523E+00-0.879961003E+00-0.877529136E+00-0.875149693E+00 --0.872807418E+00-0.870508321E+00-0.868252189E+00-0.866039697E+00-0.863866234E+00 --0.861731240E+00-0.859634718E+00-0.857576256E+00-0.855554992E+00-0.853571101E+00 --0.851624440E+00-0.849712254E+00-0.847834542E+00-0.845991304E+00-0.844182541E+00 --0.842404834E+00-0.840656959E+00-0.838940160E+00-0.837255836E+00-0.835602315E+00 --0.833977078E+00-0.832382720E+00-0.830816209E+00-0.829277545E+00-0.827766728E+00 --0.826283161E+00-0.824827133E+00-0.823398655E+00-0.821997235E+00-0.820620635E+00 --0.819268856E+00-0.817941899E+00-0.816639763E+00-0.815362448E+00-0.814110433E+00 --0.812881345E+00-0.811676590E+00-0.810494749E+00-0.809336423E+00-0.808201610E+00 --0.807089729E+00-0.805998985E+00-0.804931780E+00-0.803886312E+00-0.802862406E+00 --0.801860062E+00-0.800879280E+00-0.799919986E+00-0.798981474E+00-0.798063621E+00 --0.797166428E+00-0.796289896E+00-0.795434022E+00-0.794598809E+00-0.793783310E+00 --0.792987459E+00-0.792211316E+00-0.791454876E+00-0.790718178E+00-0.790001134E+00 --0.789302929E+00-0.788623577E+00-0.787963433E+00-0.787322632E+00-0.786700467E+00 --0.786096852E+00-0.785511849E+00-0.784945663E+00-0.784397728E+00-0.783868045E+00 --0.783356634E+00-0.782863500E+00-0.782388565E+00-0.781931643E+00-0.781492527E+00 --0.781071225E+00-0.780667730E+00-0.780282043E+00-0.779913792E+00-0.779563492E+00 --0.779230558E+00-0.778914991E+00-0.778616791E+00-0.778335957E+00-0.778072490E+00 --0.777826390E+00-0.777597483E+00-0.777385128E+00-0.777189691E+00-0.777011545E+00 --0.776850126E+00-0.776705376E+00-0.776577294E+00-0.776465881E+00-0.776370958E+00 --0.776292261E+00-0.776230136E+00-0.776184019E+00-0.776153909E+00-0.776139808E+00 --0.776141714E+00-0.776159628E+00-0.776192947E+00-0.776241985E+00-0.776306452E+00 --0.776386349E+00-0.776481321E+00-0.776591199E+00-0.776716455E+00-0.776856815E+00 --0.777011568E+00-0.777180571E+00-0.777364077E+00-0.777561979E+00-0.777774243E+00 --0.778000572E+00-0.778240390E+00-0.778493684E+00-0.778760326E+00-0.779040578E+00 --0.779334472E+00-0.779640700E+00-0.779959264E+00-0.780290162E+00-0.780633395E+00 --0.780989036E+00-0.781357184E+00-0.781736693E+00-0.782127390E+00-0.782529195E+00 --0.782942109E+00-0.783366133E+00-0.783801265E+00-0.784246788E+00-0.784701904E+00 --0.785166813E+00-0.785641960E+00-0.786126712E+00-0.786619183E+00-0.787119374E+00 --0.787627284E+00-0.788142914E+00-0.788666263E+00-0.789195757E+00-0.789733891E+00 --0.790281191E+00-0.790836840E+00-0.791396994E+00-0.791961588E+00-0.792530623E+00 --0.793102987E+00-0.793674847E+00-0.794252201E+00-0.794835048E+00-0.795434416E+00 --0.796065242E+00-0.796691124E+00-0.797312063E+00-0.797928057E+00-0.798539107E+00 --0.799145212E+00-0.799746374E+00-0.800342592E+00-0.800933865E+00-0.801520195E+00 --0.802101580E+00-0.802678021E+00-0.803249518E+00-0.803816071E+00-0.804377680E+00 --0.804934345E+00-0.805486066E+00-0.806032842E+00-0.806574674E+00-0.807111563E+00 --0.807646060E+00-0.808193852E+00-0.808739517E+00-0.809283056E+00-0.809824470E+00 --0.810293857E+00-0.810816647E+00-0.811398598E+00-0.812028334E+00-0.812705855E+00 --0.813431160E+00-0.814204249E+00-0.815025124E+00-0.815893782E+00-0.816810226E+00 --0.817774454E+00-0.818783226E+00-0.819831398E+00-0.820925059E+00-0.822066359E+00 --0.823251707E+00-0.824481102E+00-0.825754543E+00-0.827072032E+00-0.828433568E+00 --0.829839151E+00-0.831288780E+00-0.832782457E+00-0.834320181E+00-0.835900074E+00 --0.837520999E+00-0.839185452E+00-0.840895117E+00-0.842649995E+00-0.844450086E+00 --0.846295389E+00-0.848185905E+00-0.850121633E+00-0.852102574E+00-0.854129636E+00 --0.856206302E+00-0.858328161E+00-0.860495214E+00-0.862706125E+00-0.864960818E+00 --0.101432331E+01-0.101324498E+01-0.101226000E+01-0.101136839E+01-0.101057014E+01 --0.100986525E+01-0.100925372E+01-0.100873555E+01-0.100831074E+01-0.100797929E+01 --0.100774121E+01-0.100759648E+01-0.100754512E+01-0.100758711E+01-0.100770660E+01 --0.100790909E+01-0.100824152E+01-0.100855198E+01-0.100876782E+01-0.100888902E+01 --0.100891559E+01-0.100884753E+01-0.100868484E+01-0.100842751E+01-0.100807555E+01 --0.100762896E+01-0.100708774E+01-0.100645188E+01-0.100575163E+01-0.100495650E+01 --0.100407044E+01-0.100309347E+01-0.100202557E+01-0.100086676E+01-0.999617024E+00 --0.998276368E+00-0.996844332E+00-0.995307345E+00-0.993677019E+00-0.991943257E+00 --0.990106059E+00-0.988165425E+00-0.986121354E+00-0.983973848E+00-0.981722905E+00 --0.979368526E+00-0.976910711E+00-0.974349460E+00-0.971684817E+00-0.968896231E+00 --0.965955500E+00-0.962862621E+00-0.959617597E+00-0.956220427E+00-0.952671110E+00 --0.948969648E+00-0.945116039E+00-0.941142757E+00-0.937275948E+00-0.933496404E+00 --0.929804125E+00-0.926199111E+00-0.922681361E+00-0.919250876E+00-0.915907656E+00 --0.912651701E+00-0.909483011E+00-0.906401585E+00-0.903402928E+00-0.900444754E+00 --0.897541147E+00-0.894710928E+00-0.891934361E+00-0.889211448E+00-0.886537954E+00 --0.883918749E+00-0.881357765E+00-0.878855003E+00-0.876410462E+00-0.874022285E+00 --0.871661159E+00-0.869345380E+00-0.867074513E+00-0.864850215E+00-0.862665592E+00 --0.860519439E+00-0.858411882E+00-0.856346492E+00-0.854320128E+00-0.852328267E+00 --0.850375680E+00-0.848457437E+00-0.846573538E+00-0.844723983E+00-0.842908771E+00 --0.841125112E+00-0.839373595E+00-0.837653982E+00-0.835966345E+00-0.834309632E+00 --0.832682296E+00-0.831084208E+00-0.829513789E+00-0.827972574E+00-0.826459820E+00 --0.824974615E+00-0.823516959E+00-0.822086851E+00-0.820683091E+00-0.819304134E+00 --0.817950233E+00-0.816622005E+00-0.815319244E+00-0.814041949E+00-0.812787246E+00 --0.811556680E+00-0.810351003E+00-0.809169072E+00-0.808010072E+00-0.806874005E+00 --0.805760870E+00-0.804668736E+00-0.803599749E+00-0.802552634E+00-0.801527391E+00 --0.800524019E+00-0.799542520E+00-0.798581158E+00-0.797640411E+00-0.796721387E+00 --0.795822680E+00-0.794944289E+00-0.794086215E+00-0.793248628E+00-0.792430238E+00 --0.791631730E+00-0.790852969E+00-0.790093954E+00-0.789354687E+00-0.788634752E+00 --0.787933623E+00-0.787251305E+00-0.786587889E+00-0.785943185E+00-0.785317156E+00 --0.784709802E+00-0.784121124E+00-0.783550763E+00-0.782998597E+00-0.782464707E+00 --0.781949069E+00-0.781451224E+00-0.780971404E+00-0.780509677E+00-0.780065697E+00 --0.779639464E+00-0.779230900E+00-0.778839718E+00-0.778465901E+00-0.778109779E+00 --0.777771236E+00-0.777449937E+00-0.777145881E+00-0.776859070E+00-0.776589502E+00 --0.776337178E+00-0.776101985E+00-0.775883550E+00-0.775681887E+00-0.775496995E+00 --0.775328874E+00-0.775177525E+00-0.775042946E+00-0.774925027E+00-0.774823099E+00 --0.774737676E+00-0.774668662E+00-0.774615692E+00-0.774578766E+00-0.774557883E+00 --0.774553045E+00-0.774563692E+00-0.774589726E+00-0.774631593E+00-0.774689148E+00 --0.774761988E+00-0.774849996E+00-0.774952768E+00-0.775070826E+00-0.775204190E+00 --0.775351940E+00-0.775513939E+00-0.775690189E+00-0.775880688E+00-0.776085106E+00 --0.776303540E+00-0.776535660E+00-0.776781454E+00-0.777040922E+00-0.777314143E+00 --0.777600374E+00-0.777898940E+00-0.778209840E+00-0.778533085E+00-0.778868969E+00 --0.779217599E+00-0.779577390E+00-0.779948288E+00-0.780331587E+00-0.780725361E+00 --0.781129527E+00-0.781544791E+00-0.781971164E+00-0.782407700E+00-0.782853682E+00 --0.783308933E+00-0.783775341E+00-0.784252090E+00-0.784735467E+00-0.785225473E+00 --0.785722106E+00-0.786226148E+00-0.786738828E+00-0.787259227E+00-0.787787234E+00 --0.788320685E+00-0.788862010E+00-0.789407005E+00-0.789955440E+00-0.790506900E+00 --0.791063854E+00-0.791626301E+00-0.792194242E+00-0.792767676E+00-0.793356544E+00 --0.793973673E+00-0.794585857E+00-0.795193098E+00-0.795795394E+00-0.796392746E+00 --0.796985154E+00-0.797572618E+00-0.798155138E+00-0.798732714E+00-0.799305345E+00 --0.799873033E+00-0.800435776E+00-0.800993575E+00-0.801546430E+00-0.802094341E+00 --0.802637308E+00-0.803175331E+00-0.803708410E+00-0.804236545E+00-0.804759735E+00 --0.805277981E+00-0.805791284E+00-0.806299642E+00-0.806800008E+00-0.807261875E+00 --0.807715301E+00-0.808219506E+00-0.808777681E+00-0.809383117E+00-0.810035814E+00 --0.810735772E+00-0.811482991E+00-0.812277471E+00-0.813119212E+00-0.814008214E+00 --0.814944478E+00-0.815928002E+00-0.816957443E+00-0.818031802E+00-0.819150484E+00 --0.820313490E+00-0.821520820E+00-0.822772473E+00-0.824068449E+00-0.825408749E+00 --0.826793373E+00-0.828222320E+00-0.829695591E+00-0.831212978E+00-0.832769028E+00 --0.834368845E+00-0.836014145E+00-0.837705384E+00-0.839442853E+00-0.841225673E+00 --0.843053706E+00-0.844926952E+00-0.846845410E+00-0.848809080E+00-0.850817964E+00 --0.852874303E+00-0.854981640E+00-0.857134170E+00-0.859326390E+00-0.861569555E+00 --0.101301604E+01-0.101194765E+01-0.101097262E+01-0.101009095E+01-0.100930264E+01 --0.100860769E+01-0.100800610E+01-0.100749787E+01-0.100708300E+01-0.100676150E+01 --0.100653336E+01-0.100639857E+01-0.100635715E+01-0.100640909E+01-0.100660481E+01 --0.100690786E+01-0.100731257E+01-0.100769868E+01-0.100796810E+01-0.100811095E+01 --0.100815959E+01-0.100811402E+01-0.100797424E+01-0.100774026E+01-0.100741207E+01 --0.100698968E+01-0.100647307E+01-0.100586227E+01-0.100516659E+01-0.100438445E+01 --0.100351139E+01-0.100254741E+01-0.100149251E+01-0.100034669E+01-0.999109943E+00 --0.997782343E+00-0.996360898E+00-0.994854302E+00-0.993237542E+00-0.991496852E+00 --0.989648343E+00-0.987696397E+00-0.985641015E+00-0.983482196E+00-0.981219942E+00 --0.978854251E+00-0.976385125E+00-0.973812562E+00-0.971133316E+00-0.968311456E+00 --0.965337450E+00-0.962211297E+00-0.958932999E+00-0.955502554E+00-0.951919963E+00 --0.948180944E+00-0.944302576E+00-0.940352978E+00-0.936481673E+00-0.932692580E+00 --0.928985697E+00-0.925361026E+00-0.921818566E+00-0.918358316E+00-0.914980278E+00 --0.911684451E+00-0.908470834E+00-0.905339429E+00-0.902281204E+00-0.899301175E+00 --0.896380587E+00-0.893518221E+00-0.890714077E+00-0.887968154E+00-0.885280452E+00 --0.882650971E+00-0.880079712E+00-0.877566674E+00-0.875111858E+00-0.872713641E+00 --0.870345429E+00-0.868020712E+00-0.865739490E+00-0.863502552E+00-0.861307873E+00 --0.859155166E+00-0.857044431E+00-0.854975666E+00-0.852944382E+00-0.850949504E+00 --0.848991276E+00-0.847069373E+00-0.845181852E+00-0.843329175E+00-0.841510926E+00 --0.839725513E+00-0.837972937E+00-0.836253175E+00-0.834562959E+00-0.832904499E+00 --0.831275051E+00-0.829675691E+00-0.828106652E+00-0.826565994E+00-0.825052845E+00 --0.823567204E+00-0.822109071E+00-0.820677563E+00-0.819271801E+00-0.817893373E+00 --0.816540098E+00-0.815211947E+00-0.813909121E+00-0.812630804E+00-0.811376693E+00 --0.810146827E+00-0.808941205E+00-0.807759229E+00-0.806599903E+00-0.805463509E+00 --0.804350005E+00-0.803258515E+00-0.802188698E+00-0.801140812E+00-0.800114877E+00 --0.799110815E+00-0.798128573E+00-0.797167093E+00-0.796226014E+00-0.795305336E+00 --0.794405326E+00-0.793525650E+00-0.792666290E+00-0.791827278E+00-0.791007739E+00 --0.790207520E+00-0.789426621E+00-0.788665069E+00-0.787923182E+00-0.787200388E+00 --0.786496742E+00-0.785812229E+00-0.785145995E+00-0.784498539E+00-0.783869627E+00 --0.783259004E+00-0.782666762E+00-0.782093044E+00-0.781536710E+00-0.780998888E+00 --0.780479036E+00-0.779977156E+00-0.779493066E+00-0.779026495E+00-0.778578050E+00 --0.778147235E+00-0.777733785E+00-0.777337698E+00-0.776958977E+00-0.776597619E+00 --0.776253604E+00-0.775926758E+00-0.775617170E+00-0.775324779E+00-0.775049561E+00 --0.774791517E+00-0.774550434E+00-0.774326030E+00-0.774118313E+00-0.773927323E+00 --0.773753104E+00-0.773595666E+00-0.773454886E+00-0.773330467E+00-0.773222410E+00 --0.773130716E+00-0.773055355E+00-0.772995848E+00-0.772952384E+00-0.772924840E+00 --0.772913237E+00-0.772917672E+00-0.772937786E+00-0.772973095E+00-0.773024069E+00 --0.773090413E+00-0.773171995E+00-0.773268376E+00-0.773379361E+00-0.773505835E+00 --0.773646581E+00-0.773801614E+00-0.773971275E+00-0.774155575E+00-0.774353106E+00 --0.774565341E+00-0.774790926E+00-0.775029862E+00-0.775282292E+00-0.775548300E+00 --0.775826846E+00-0.776118081E+00-0.776422061E+00-0.776738787E+00-0.777068258E+00 --0.777409792E+00-0.777762622E+00-0.778126812E+00-0.778502373E+00-0.778888959E+00 --0.779286021E+00-0.779693558E+00-0.780111570E+00-0.780539699E+00-0.780977573E+00 --0.781425291E+00-0.781884067E+00-0.782352899E+00-0.782828360E+00-0.783310448E+00 --0.783799165E+00-0.784294510E+00-0.784796483E+00-0.785305085E+00-0.785820314E+00 --0.786342172E+00-0.786868536E+00-0.787399595E+00-0.787936149E+00-0.788478195E+00 --0.789025735E+00-0.789578769E+00-0.790137296E+00-0.790701317E+00-0.791279687E+00 --0.791883118E+00-0.792481604E+00-0.793075147E+00-0.793663745E+00-0.794247400E+00 --0.794826110E+00-0.795399876E+00-0.795968698E+00-0.796532576E+00-0.797091510E+00 --0.797645499E+00-0.798194545E+00-0.798738646E+00-0.799277804E+00-0.799812017E+00 --0.800341286E+00-0.800865611E+00-0.801384992E+00-0.801899429E+00-0.802408921E+00 --0.802913470E+00-0.803387296E+00-0.803853653E+00-0.804314254E+00-0.804769098E+00 --0.805213004E+00-0.805680417E+00-0.806210934E+00-0.806794206E+00-0.807424739E+00 --0.808102533E+00-0.808827588E+00-0.809599904E+00-0.810419482E+00-0.811286320E+00 --0.812197970E+00-0.813154932E+00-0.814161120E+00-0.815215836E+00-0.816314875E+00 --0.817458237E+00-0.818645924E+00-0.819877933E+00-0.821154266E+00-0.822474923E+00 --0.823839903E+00-0.825249207E+00-0.826700776E+00-0.828195641E+00-0.829734192E+00 --0.831316431E+00-0.832942886E+00-0.834615182E+00-0.836333416E+00-0.838097590E+00 --0.839907702E+00-0.841763754E+00-0.843665744E+00-0.845612886E+00-0.847604499E+00 --0.849641324E+00-0.851727530E+00-0.853861595E+00-0.856039667E+00-0.858271306E+00 --0.101144618E+01-0.101038773E+01-0.100942264E+01-0.100855091E+01-0.100777254E+01 --0.100708753E+01-0.100649589E+01-0.100599760E+01-0.100559268E+01-0.100528111E+01 --0.100506291E+01-0.100496810E+01-0.100498129E+01-0.100508714E+01-0.100528565E+01 --0.100557680E+01-0.100597226E+01-0.100635357E+01-0.100664314E+01-0.100684097E+01 --0.100694323E+01-0.100691673E+01-0.100679601E+01-0.100658109E+01-0.100627197E+01 --0.100586864E+01-0.100537110E+01-0.100477935E+01-0.100409917E+01-0.100333008E+01 --0.100247006E+01-0.100151913E+01-0.100047727E+01-0.999343704E+00-0.998114769E+00 --0.996790963E+00-0.995372287E+00-0.993868034E+00-0.992259485E+00-0.990537509E+00 --0.988702107E+00-0.986752804E+00-0.984686110E+00-0.982515980E+00-0.980242414E+00 --0.977865412E+00-0.975384973E+00-0.972801099E+00-0.970097378E+00-0.967242244E+00 --0.964234963E+00-0.961075537E+00-0.957761587E+00-0.954304025E+00-0.950708611E+00 --0.946975344E+00-0.943104225E+00-0.939152213E+00-0.935273983E+00-0.931477965E+00 --0.927764157E+00-0.924132560E+00-0.920583175E+00-0.917116000E+00-0.913731037E+00 --0.910428284E+00-0.907207743E+00-0.904013186E+00-0.900912857E+00-0.897929481E+00 --0.895001245E+00-0.892128149E+00-0.889310191E+00-0.886547373E+00-0.883839694E+00 --0.881199485E+00-0.878617950E+00-0.876094636E+00-0.873629544E+00-0.871221288E+00 --0.868845990E+00-0.866516370E+00-0.864234309E+00-0.861996802E+00-0.859799858E+00 --0.857643821E+00-0.855529710E+00-0.853458162E+00-0.851425437E+00-0.849429362E+00 --0.847469938E+00-0.845547312E+00-0.843660652E+00-0.841807929E+00-0.839988765E+00 --0.838203159E+00-0.836451111E+00-0.834732622E+00-0.833043918E+00-0.831385043E+00 --0.829756646E+00-0.828158614E+00-0.826590925E+00-0.825051656E+00-0.823539814E+00 --0.822055480E+00-0.820598481E+00-0.819168168E+00-0.817764491E+00-0.816387349E+00 --0.815035634E+00-0.813709073E+00-0.812406583E+00-0.811129078E+00-0.809877922E+00 --0.808649615E+00-0.807444692E+00-0.806264015E+00-0.805106023E+00-0.803969302E+00 --0.802856784E+00-0.801766449E+00-0.800697787E+00-0.799650800E+00-0.798625125E+00 --0.797620372E+00-0.796638291E+00-0.795676787E+00-0.794735684E+00-0.793814982E+00 --0.792914681E+00-0.792034019E+00-0.791174292E+00-0.790334258E+00-0.789513721E+00 --0.788712453E+00-0.787930457E+00-0.787167730E+00-0.786424274E+00-0.785699807E+00 --0.784994194E+00-0.784307614E+00-0.783639402E+00-0.782989453E+00-0.782357773E+00 --0.781744382E+00-0.781149280E+00-0.780571772E+00-0.780012704E+00-0.779471529E+00 --0.778948081E+00-0.778442358E+00-0.777954400E+00-0.777483942E+00-0.777030891E+00 --0.776595248E+00-0.776177014E+00-0.775776187E+00-0.775392768E+00-0.775026756E+00 --0.774678153E+00-0.774346508E+00-0.774031740E+00-0.773733902E+00-0.773453180E+00 --0.773189632E+00-0.772942948E+00-0.772712954E+00-0.772499652E+00-0.772303168E+00 --0.772123244E+00-0.771960105E+00-0.771813329E+00-0.771682915E+00-0.771568862E+00 --0.771471172E+00-0.771389844E+00-0.771324571E+00-0.771275088E+00-0.771241451E+00 --0.771223854E+00-0.771222296E+00-0.771236549E+00-0.771266159E+00-0.771311144E+00 --0.771371039E+00-0.771446313E+00-0.771536668E+00-0.771641777E+00-0.771761626E+00 --0.771896102E+00-0.772045217E+00-0.772208970E+00-0.772386683E+00-0.772578604E+00 --0.772784899E+00-0.773004656E+00-0.773237764E+00-0.773484256E+00-0.773743740E+00 --0.774015974E+00-0.774300855E+00-0.774598422E+00-0.774908734E+00-0.775231937E+00 --0.775566774E+00-0.775912966E+00-0.776270844E+00-0.776640487E+00-0.777020764E+00 --0.777411619E+00-0.777812719E+00-0.778224089E+00-0.778645993E+00-0.779077253E+00 --0.779517566E+00-0.779968711E+00-0.780429627E+00-0.780897170E+00-0.781371342E+00 --0.781852142E+00-0.782341064E+00-0.782837635E+00-0.783341795E+00-0.783851120E+00 --0.784358428E+00-0.784871411E+00-0.785390731E+00-0.785917871E+00-0.786450504E+00 --0.786988631E+00-0.787532251E+00-0.788081365E+00-0.788635972E+00-0.789203844E+00 --0.789793577E+00-0.790378365E+00-0.790958210E+00-0.791533111E+00-0.792103067E+00 --0.792668080E+00-0.793228148E+00-0.793783272E+00-0.794333452E+00-0.794878688E+00 --0.795418980E+00-0.795954328E+00-0.796484731E+00-0.797010191E+00-0.797530706E+00 --0.798046278E+00-0.798556905E+00-0.799062588E+00-0.799548752E+00-0.800025354E+00 --0.800496201E+00-0.800961291E+00-0.801420625E+00-0.801874203E+00-0.802322024E+00 --0.802756409E+00-0.803210462E+00-0.803712169E+00-0.804269717E+00-0.804878086E+00 --0.805533716E+00-0.806236607E+00-0.806986759E+00-0.807783984E+00-0.808628274E+00 --0.809520487E+00-0.810460624E+00-0.811448685E+00-0.812483688E+00-0.813563083E+00 --0.814686802E+00-0.815854845E+00-0.817067211E+00-0.818323901E+00-0.819624914E+00 --0.820970763E+00-0.822360757E+00-0.823794438E+00-0.825271806E+00-0.826792860E+00 --0.828357600E+00-0.829966029E+00-0.831619381E+00-0.833318672E+00-0.835063902E+00 --0.836855070E+00-0.838692178E+00-0.840575225E+00-0.842504211E+00-0.844479136E+00 --0.846500000E+00-0.848569307E+00-0.850683884E+00-0.852847870E+00-0.855062871E+00 --0.100961372E+01-0.100856521E+01-0.100761006E+01-0.100674827E+01-0.100597985E+01 --0.100530478E+01-0.100472308E+01-0.100423474E+01-0.100385382E+01-0.100357716E+01 --0.100339316E+01-0.100330181E+01-0.100330312E+01-0.100339707E+01-0.100358368E+01 --0.100386294E+01-0.100424914E+01-0.100462566E+01-0.100491043E+01-0.100510346E+01 --0.100520475E+01-0.100521429E+01-0.100513209E+01-0.100494119E+01-0.100465113E+01 --0.100426686E+01-0.100378838E+01-0.100321570E+01-0.100255043E+01-0.100179439E+01 --0.100094742E+01-0.100000909E+01-0.998972668E+00-0.997841372E+00-0.996615206E+00 --0.995294169E+00-0.993878262E+00-0.992374855E+00-0.990774517E+00-0.989060753E+00 --0.987233562E+00-0.985292946E+00-0.983238902E+00-0.981071433E+00-0.978790322E+00 --0.976402008E+00-0.973910258E+00-0.971313266E+00-0.968577003E+00-0.965687946E+00 --0.962651190E+00-0.959476583E+00-0.956164123E+00-0.952713810E+00-0.949125645E+00 --0.945399627E+00-0.941535757E+00-0.937581331E+00-0.933696176E+00-0.929893232E+00 --0.926172499E+00-0.922533978E+00-0.918977667E+00-0.915503567E+00-0.912111678E+00 --0.908781507E+00-0.905526113E+00-0.902358242E+00-0.899283602E+00-0.896305585E+00 --0.893382707E+00-0.890514968E+00-0.887702369E+00-0.884944909E+00-0.882242588E+00 --0.879595406E+00-0.877003364E+00-0.874466461E+00-0.871984697E+00-0.869549280E+00 --0.867172921E+00-0.864845189E+00-0.862564190E+00-0.860328886E+00-0.858134396E+00 --0.855980384E+00-0.853867115E+00-0.851794783E+00-0.849761914E+00-0.847767711E+00 --0.845812174E+00-0.843894505E+00-0.842010657E+00-0.840160211E+00-0.838343168E+00 --0.836559874E+00-0.834810405E+00-0.833094650E+00-0.831409663E+00-0.829754641E+00 --0.828129587E+00-0.826534499E+00-0.824968724E+00-0.823431504E+00-0.821921755E+00 --0.820441285E+00-0.818987451E+00-0.817560253E+00-0.816159691E+00-0.814785765E+00 --0.813436541E+00-0.812112485E+00-0.810813628E+00-0.809539365E+00-0.808289807E+00 --0.807064522E+00-0.805862109E+00-0.804682569E+00-0.803525902E+00-0.802392372E+00 --0.801281517E+00-0.800192333E+00-0.799124998E+00-0.798079532E+00-0.797055934E+00 --0.796052862E+00-0.795071308E+00-0.794110339E+00-0.793169956E+00-0.792250159E+00 --0.791350948E+00-0.790470309E+00-0.789611066E+00-0.788771043E+00-0.787950110E+00 --0.787148308E+00-0.786365636E+00-0.785602093E+00-0.784857681E+00-0.784132462E+00 --0.783426199E+00-0.782737745E+00-0.782067555E+00-0.781415627E+00-0.780781955E+00 --0.780165927E+00-0.779568166E+00-0.778988393E+00-0.778426546E+00-0.777882437E+00 --0.777356054E+00-0.776847068E+00-0.776355033E+00-0.775880893E+00-0.775424225E+00 --0.774984642E+00-0.774562144E+00-0.774156805E+00-0.773768868E+00-0.773398338E+00 --0.773045217E+00-0.772708712E+00-0.772389103E+00-0.772086410E+00-0.771800599E+00 --0.771531655E+00-0.771279638E+00-0.771044432E+00-0.770826038E+00-0.770624389E+00 --0.770439189E+00-0.770270402E+00-0.770118085E+00-0.769982246E+00-0.769862769E+00 --0.769759655E+00-0.769672636E+00-0.769601681E+00-0.769547070E+00-0.769508284E+00 --0.769485109E+00-0.769477564E+00-0.769486016E+00-0.769509927E+00-0.769549213E+00 --0.769603868E+00-0.769672950E+00-0.769757895E+00-0.769857635E+00-0.769972137E+00 --0.770101403E+00-0.770244682E+00-0.770402552E+00-0.770574851E+00-0.770761534E+00 --0.770962225E+00-0.771176154E+00-0.771403989E+00-0.771645329E+00-0.771899418E+00 --0.772166257E+00-0.772445843E+00-0.772738194E+00-0.773043538E+00-0.773360646E+00 --0.773689472E+00-0.774030087E+00-0.774382492E+00-0.774746380E+00-0.775120617E+00 --0.775505648E+00-0.775901331E+00-0.776307666E+00-0.776724157E+00-0.777149761E+00 --0.777584502E+00-0.778028412E+00-0.778481803E+00-0.778942785E+00-0.779411356E+00 --0.779887518E+00-0.780371269E+00-0.780862611E+00-0.781354873E+00-0.781852758E+00 --0.782356318E+00-0.782865553E+00-0.783380462E+00-0.783900607E+00-0.784423827E+00 --0.784952540E+00-0.785486747E+00-0.786026448E+00-0.786571641E+00-0.787129014E+00 --0.787705050E+00-0.788276141E+00-0.788842287E+00-0.789403490E+00-0.789959749E+00 --0.790511064E+00-0.791057434E+00-0.791598860E+00-0.792135343E+00-0.792666881E+00 --0.793193475E+00-0.793715125E+00-0.794231831E+00-0.794743592E+00-0.795250410E+00 --0.795746241E+00-0.796233090E+00-0.796714182E+00-0.797189518E+00-0.797659098E+00 --0.798122922E+00-0.798580989E+00-0.799033300E+00-0.799479855E+00-0.799920653E+00 --0.800345517E+00-0.800786210E+00-0.801274556E+00-0.801810557E+00-0.802395855E+00 --0.803029321E+00-0.803710048E+00-0.804441575E+00-0.805221115E+00-0.806048579E+00 --0.806923968E+00-0.807847280E+00-0.808818515E+00-0.809835357E+00-0.810895110E+00 --0.811999185E+00-0.813147584E+00-0.814340307E+00-0.815578989E+00-0.816864113E+00 --0.818192923E+00-0.819565420E+00-0.820981603E+00-0.822441473E+00-0.823945029E+00 --0.825492272E+00-0.827083202E+00-0.828717982E+00-0.830398329E+00-0.832124615E+00 --0.833896840E+00-0.835715005E+00-0.837579108E+00-0.839491336E+00-0.841449829E+00 --0.843454019E+00-0.845503904E+00-0.847599561E+00-0.849744558E+00-0.851940571E+00 --0.100751867E+01-0.100648010E+01-0.100553489E+01-0.100468305E+01-0.100392456E+01 --0.100326197E+01-0.100269546E+01-0.100222161E+01-0.100184041E+01-0.100155186E+01 --0.100135596E+01-0.100125272E+01-0.100124213E+01-0.100132419E+01-0.100149890E+01 --0.100176627E+01-0.100214321E+01-0.100251494E+01-0.100279491E+01-0.100298315E+01 --0.100307964E+01-0.100308438E+01-0.100299738E+01-0.100281864E+01-0.100254815E+01 --0.100218434E+01-0.100172492E+01-0.100117130E+01-0.100052039E+01-0.999777387E+00 --0.998934596E+00-0.997995810E+00-0.996962154E+00-0.995833627E+00-0.994610230E+00 --0.993291963E+00-0.991878825E+00-0.990374765E+00-0.988782639E+00-0.987077086E+00 --0.985258107E+00-0.983325702E+00-0.981279870E+00-0.979120612E+00-0.976847927E+00 --0.974461817E+00-0.971962280E+00-0.969344071E+00-0.966590270E+00-0.963698616E+00 --0.960669110E+00-0.957501752E+00-0.954196541E+00-0.950753477E+00-0.947172561E+00 --0.943453793E+00-0.939597172E+00-0.935640332E+00-0.931748252E+00-0.927938383E+00 --0.924210725E+00-0.920565278E+00-0.917002042E+00-0.913519332E+00-0.910118799E+00 --0.906805789E+00-0.903580302E+00-0.900442339E+00-0.897393440E+00-0.894420781E+00 --0.891503261E+00-0.888640881E+00-0.885833640E+00-0.883081538E+00-0.880384575E+00 --0.877742751E+00-0.875156067E+00-0.872622429E+00-0.870139314E+00-0.867710257E+00 --0.865337156E+00-0.863009065E+00-0.860729129E+00-0.858496026E+00-0.856304057E+00 --0.854155519E+00-0.852051393E+00-0.849985299E+00-0.847957019E+00-0.845967588E+00 --0.844017128E+00-0.842105324E+00-0.840226923E+00-0.838381924E+00-0.836570327E+00 --0.834794049E+00-0.833050306E+00-0.831339077E+00-0.829659346E+00-0.828009520E+00 --0.826389599E+00-0.824799583E+00-0.823239302E+00-0.821706688E+00-0.820202411E+00 --0.818726293E+00-0.817276852E+00-0.815854090E+00-0.814458005E+00-0.813088599E+00 --0.811743536E+00-0.810424996E+00-0.809130427E+00-0.807860026E+00-0.806614219E+00 --0.805392816E+00-0.804193401E+00-0.803016858E+00-0.801863416E+00-0.800732817E+00 --0.799624325E+00-0.798538076E+00-0.797473696E+00-0.796431184E+00-0.795410098E+00 --0.794409415E+00-0.793429336E+00-0.792470075E+00-0.791531399E+00-0.790613309E+00 --0.789715169E+00-0.788836338E+00-0.787977237E+00-0.787138462E+00-0.786318204E+00 --0.785516465E+00-0.784733603E+00-0.783969872E+00-0.783225270E+00-0.782499799E+00 --0.781792520E+00-0.781102627E+00-0.780431199E+00-0.779777973E+00-0.779142948E+00 --0.778525580E+00-0.777925680E+00-0.777343758E+00-0.776779352E+00-0.776232310E+00 --0.775703249E+00-0.775191410E+00-0.774696561E+00-0.774218699E+00-0.773758287E+00 --0.773314998E+00-0.772888795E+00-0.772479677E+00-0.772087644E+00-0.771712697E+00 --0.771354729E+00-0.771013744E+00-0.770689556E+00-0.770382221E+00-0.770091739E+00 --0.769818109E+00-0.769561290E+00-0.769320980E+00-0.769097579E+00-0.768890961E+00 --0.768700755E+00-0.768526963E+00-0.768369583E+00-0.768228616E+00-0.768103901E+00 --0.767995473E+00-0.767903326E+00-0.767827426E+00-0.767767758E+00-0.767723877E+00 --0.767695607E+00-0.767682920E+00-0.767685959E+00-0.767704700E+00-0.767738817E+00 --0.767788300E+00-0.767852749E+00-0.767932658E+00-0.768027403E+00-0.768136911E+00 --0.768261183E+00-0.768400011E+00-0.768553077E+00-0.768720382E+00-0.768901826E+00 --0.769097321E+00-0.769306718E+00-0.769529915E+00-0.769765700E+00-0.770014552E+00 --0.770276515E+00-0.770551589E+00-0.770839775E+00-0.771141073E+00-0.771454046E+00 --0.771778533E+00-0.772114553E+00-0.772461998E+00-0.772820720E+00-0.773190836E+00 --0.773570923E+00-0.773961572E+00-0.774362873E+00-0.774773949E+00-0.775193821E+00 --0.775622979E+00-0.776062137E+00-0.776510300E+00-0.776966052E+00-0.777429394E+00 --0.777900327E+00-0.778377604E+00-0.778860392E+00-0.779348854E+00-0.779842992E+00 --0.780342804E+00-0.780848291E+00-0.781359452E+00-0.781876289E+00-0.782398164E+00 --0.782917464E+00-0.783442257E+00-0.783972544E+00-0.784508325E+00-0.785055199E+00 --0.785617537E+00-0.786174930E+00-0.786727379E+00-0.787274884E+00-0.787817445E+00 --0.788355061E+00-0.788887734E+00-0.789415463E+00-0.789938247E+00-0.790456087E+00 --0.790968984E+00-0.791476936E+00-0.791979765E+00-0.792476859E+00-0.792968197E+00 --0.793453779E+00-0.793933605E+00-0.794407674E+00-0.794875988E+00-0.795338545E+00 --0.795795345E+00-0.796246390E+00-0.796691678E+00-0.797131210E+00-0.797564986E+00 --0.797980329E+00-0.798407661E+00-0.798882647E+00-0.799405287E+00-0.799975581E+00 --0.800594836E+00-0.801261703E+00-0.801976495E+00-0.802739210E+00-0.803549849E+00 --0.804408413E+00-0.805314900E+00-0.806269311E+00-0.807270845E+00-0.808310954E+00 --0.809395386E+00-0.810525455E+00-0.811705708E+00-0.812929647E+00-0.814197274E+00 --0.815508586E+00-0.816863585E+00-0.818262271E+00-0.819704643E+00-0.821190702E+00 --0.822720447E+00-0.824293879E+00-0.825910997E+00-0.827572388E+00-0.829279731E+00 --0.831034782E+00-0.832835809E+00-0.834682533E+00-0.836574952E+00-0.838513066E+00 --0.840496876E+00-0.842526382E+00-0.844601583E+00-0.846727457E+00-0.848904482E+00 --0.100516102E+01-0.100413239E+01-0.100319256E+01-0.100233620E+01-0.100157249E+01 --0.100090144E+01-0.100032303E+01-0.999837284E+00-0.999444188E+00-0.999143744E+00 --0.998935952E+00-0.998820814E+00-0.998798327E+00-0.998868494E+00-0.999031313E+00 --0.999286784E+00-0.999654476E+00-0.100002140E+01-0.100029658E+01-0.100048002E+01 --0.100057172E+01-0.100057166E+01-0.100047987E+01-0.100029633E+01-0.100002105E+01 --0.999654017E+00-0.999195244E+00-0.998646170E+00-0.998000552E+00-0.997254277E+00 --0.996413130E+00-0.995477114E+00-0.994446227E+00-0.993320469E+00-0.992099842E+00 --0.990784344E+00-0.989373975E+00-0.987868736E+00-0.986283850E+00-0.984586509E+00 --0.982775741E+00-0.980851547E+00-0.978813927E+00-0.976662880E+00-0.974398407E+00 --0.972017334E+00-0.969527480E+00-0.966935860E+00-0.964213133E+00-0.961339108E+00 --0.958316913E+00-0.955156804E+00-0.951858842E+00-0.948423027E+00-0.944849361E+00 --0.941137841E+00-0.937288470E+00-0.933329215E+00-0.929430210E+00-0.925613416E+00 --0.921878832E+00-0.918226660E+00-0.914680988E+00-0.911222840E+00-0.907852214E+00 --0.904569112E+00-0.901373533E+00-0.898265477E+00-0.895242372E+00-0.892275071E+00 --0.889362909E+00-0.886505887E+00-0.883704003E+00-0.880957259E+00-0.878265655E+00 --0.875633770E+00-0.873064792E+00-0.870549299E+00-0.868087289E+00-0.865678589E+00 --0.863316479E+00-0.860999102E+00-0.858726232E+00-0.856499924E+00-0.854316739E+00 --0.852178458E+00-0.850084359E+00-0.848028733E+00-0.846010425E+00-0.844028896E+00 --0.842087117E+00-0.840179926E+00-0.838308291E+00-0.836472210E+00-0.834671684E+00 --0.832905931E+00-0.831169476E+00-0.829465175E+00-0.827792368E+00-0.826149465E+00 --0.824536581E+00-0.822953843E+00-0.821401133E+00-0.819877252E+00-0.818380156E+00 --0.816909849E+00-0.815466577E+00-0.814050049E+00-0.812660211E+00-0.811296312E+00 --0.809957624E+00-0.808644180E+00-0.807355907E+00-0.806091015E+00-0.804849505E+00 --0.803631376E+00-0.802438104E+00-0.801265876E+00-0.800117744E+00-0.798991646E+00 --0.797887580E+00-0.796805545E+00-0.795744119E+00-0.794704929E+00-0.793687157E+00 --0.792689949E+00-0.791713303E+00-0.790756838E+00-0.789819869E+00-0.788903984E+00 --0.788008007E+00-0.787131432E+00-0.786274258E+00-0.785436577E+00-0.784617692E+00 --0.783817325E+00-0.783035476E+00-0.782272144E+00-0.781527411E+00-0.780801716E+00 --0.780094077E+00-0.779404236E+00-0.778732192E+00-0.778077854E+00-0.777441762E+00 --0.776823219E+00-0.776221897E+00-0.775637869E+00-0.775071123E+00-0.774521993E+00 --0.773990352E+00-0.773475699E+00-0.772978034E+00-0.772497359E+00-0.772033624E+00 --0.771586707E+00-0.771156937E+00-0.770744119E+00-0.770348252E+00-0.769969338E+00 --0.769607374E+00-0.769262228E+00-0.768933809E+00-0.768622115E+00-0.768327148E+00 --0.768048907E+00-0.767787392E+00-0.767542620E+00-0.767314507E+00-0.767102881E+00 --0.766907772E+00-0.766729178E+00-0.766567101E+00-0.766421540E+00-0.766292484E+00 --0.766179546E+00-0.766082639E+00-0.766001807E+00-0.765937211E+00-0.765888330E+00 --0.765855210E+00-0.765838044E+00-0.765836605E+00-0.765850732E+00-0.765880155E+00 --0.765925189E+00-0.765985324E+00-0.766060513E+00-0.766150643E+00-0.766255924E+00 --0.766375896E+00-0.766510057E+00-0.766658500E+00-0.766821378E+00-0.766998691E+00 --0.767190487E+00-0.767396366E+00-0.767615209E+00-0.767847014E+00-0.768091784E+00 --0.768349616E+00-0.768620558E+00-0.768904613E+00-0.769201778E+00-0.769511160E+00 --0.769831410E+00-0.770163526E+00-0.770507331E+00-0.770862780E+00-0.771229617E+00 --0.771606501E+00-0.771993333E+00-0.772390103E+00-0.772796594E+00-0.773212588E+00 --0.773638198E+00-0.774073237E+00-0.774516170E+00-0.774966694E+00-0.775426622E+00 --0.775894312E+00-0.776367677E+00-0.776846717E+00-0.777331431E+00-0.777821821E+00 --0.778317885E+00-0.778819624E+00-0.779327038E+00-0.779840126E+00-0.780358890E+00 --0.780883328E+00-0.781398782E+00-0.781919655E+00-0.782446022E+00-0.782982398E+00 --0.783531038E+00-0.784074733E+00-0.784613484E+00-0.785147291E+00-0.785676154E+00 --0.786200073E+00-0.786719048E+00-0.787233079E+00-0.787742166E+00-0.788249322E+00 --0.788756663E+00-0.789258247E+00-0.789754075E+00-0.790244146E+00-0.790728462E+00 --0.791207021E+00-0.791679823E+00-0.792146870E+00-0.792608160E+00-0.793063695E+00 --0.793513472E+00-0.793957494E+00-0.794395759E+00-0.794828268E+00-0.795255021E+00 --0.795660844E+00-0.796074815E+00-0.796536440E+00-0.797045719E+00-0.797610269E+00 --0.798223668E+00-0.798882785E+00-0.799587620E+00-0.800338173E+00-0.801134444E+00 --0.801976433E+00-0.802864140E+00-0.803801070E+00-0.804786580E+00-0.805810616E+00 --0.806885542E+00-0.808004611E+00-0.809167366E+00-0.810373808E+00-0.811623805E+00 --0.812917115E+00-0.814254230E+00-0.815635150E+00-0.817059874E+00-0.818528403E+00 --0.820040737E+00-0.821596876E+00-0.823196820E+00-0.824841365E+00-0.826531963E+00 --0.828267417E+00-0.830048066E+00-0.831874410E+00-0.833746449E+00-0.835664184E+00 --0.837627615E+00-0.839636741E+00-0.841691562E+00-0.843796567E+00-0.845954603E+00 --0.100249936E+01-0.100144580E+01-0.100048489E+01-0.999616639E+00-0.998841038E+00 --0.998158089E+00-0.997567793E+00-0.997070149E+00-0.996665158E+00-0.996352819E+00 --0.996133133E+00-0.996006100E+00-0.995971719E+00-0.996029991E+00-0.996180916E+00 --0.996424493E+00-0.996782929E+00-0.997145059E+00-0.997415446E+00-0.997594087E+00 --0.997680985E+00-0.997676138E+00-0.997579547E+00-0.997391211E+00-0.997102449E+00 --0.996712914E+00-0.996225326E+00-0.995642174E+00-0.994974402E+00-0.994223156E+00 --0.993386252E+00-0.992453004E+00-0.991424887E+00-0.990301899E+00-0.989084040E+00 --0.987771311E+00-0.986363712E+00-0.984861242E+00-0.983278150E+00-0.981589020E+00 --0.979786464E+00-0.977870481E+00-0.975841073E+00-0.973696310E+00-0.971437361E+00 --0.969075868E+00-0.966611833E+00-0.964045255E+00-0.961367550E+00-0.958540863E+00 --0.955562878E+00-0.952433594E+00-0.949151025E+00-0.945722460E+00-0.942156043E+00 --0.938451772E+00-0.934609650E+00-0.930647981E+00-0.926742051E+00-0.922918331E+00 --0.919212681E+00-0.915609394E+00-0.912093630E+00-0.908665389E+00-0.905324671E+00 --0.902071476E+00-0.898905805E+00-0.895827656E+00-0.892830396E+00-0.889868453E+00 --0.886961649E+00-0.884109985E+00-0.881313460E+00-0.878581985E+00-0.875927143E+00 --0.873325785E+00-0.870777912E+00-0.868283524E+00-0.865842619E+00-0.863454277E+00 --0.861103268E+00-0.858803564E+00-0.856550243E+00-0.854342840E+00-0.852176168E+00 --0.850049821E+00-0.847966137E+00-0.845920835E+00-0.843915149E+00-0.841949303E+00 --0.840019246E+00-0.838123287E+00-0.836262874E+00-0.834438016E+00-0.832648713E+00 --0.830892615E+00-0.829167782E+00-0.827474053E+00-0.825810171E+00-0.824176904E+00 --0.822573666E+00-0.821000457E+00-0.819457219E+00-0.817941836E+00-0.816453242E+00 --0.814991438E+00-0.813556446E+00-0.812148831E+00-0.810767045E+00-0.809410143E+00 --0.808078444E+00-0.806771955E+00-0.805490263E+00-0.804231550E+00-0.802996462E+00 --0.801784964E+00-0.800596979E+00-0.799432482E+00-0.798290004E+00-0.797169280E+00 --0.796070311E+00-0.794993097E+00-0.793936393E+00-0.792901796E+00-0.791887938E+00 --0.790894538E+00-0.789921596E+00-0.788969112E+00-0.788036401E+00-0.787123507E+00 --0.786229901E+00-0.785355590E+00-0.784500672E+00-0.783665157E+00-0.782847751E+00 --0.782048847E+00-0.781268538E+00-0.780506822E+00-0.779763698E+00-0.779038511E+00 --0.778330887E+00-0.777641288E+00-0.776969341E+00-0.776315045E+00-0.775678124E+00 --0.775058468E+00-0.774456095E+00-0.773871003E+00-0.773302823E+00-0.772751643E+00 --0.772217563E+00-0.771700582E+00-0.771200702E+00-0.770717818E+00-0.770251015E+00 --0.769800844E+00-0.769367881E+00-0.768951621E+00-0.768552016E+00-0.768169289E+00 --0.767803486E+00-0.767454123E+00-0.767121487E+00-0.766805588E+00-0.766506425E+00 --0.766223949E+00-0.765958162E+00-0.765709072E+00-0.765476674E+00-0.765260736E+00 --0.765061257E+00-0.764878229E+00-0.764711671E+00-0.764561629E+00-0.764428102E+00 --0.764310817E+00-0.764209563E+00-0.764124341E+00-0.764055194E+00-0.764002241E+00 --0.763965049E+00-0.763943555E+00-0.763937759E+00-0.763947662E+00-0.763973193E+00 --0.764014091E+00-0.764070233E+00-0.764141621E+00-0.764227429E+00-0.764328529E+00 --0.764444781E+00-0.764575242E+00-0.764720026E+00-0.764879246E+00-0.765052900E+00 --0.765241081E+00-0.765443761E+00-0.765659403E+00-0.765888009E+00-0.766129577E+00 --0.766384108E+00-0.766651602E+00-0.766932160E+00-0.767226371E+00-0.767532289E+00 --0.767850296E+00-0.768179556E+00-0.768520358E+00-0.768872805E+00-0.769236564E+00 --0.769610264E+00-0.769994273E+00-0.770389023E+00-0.770794063E+00-0.771208101E+00 --0.771630791E+00-0.772061712E+00-0.772501927E+00-0.772954520E+00-0.773412787E+00 --0.773876729E+00-0.774346346E+00-0.774821638E+00-0.775302604E+00-0.775789245E+00 --0.776281562E+00-0.776779553E+00-0.777283219E+00-0.777792559E+00-0.778307575E+00 --0.778828265E+00-0.779354631E+00-0.779867780E+00-0.780384734E+00-0.780910611E+00 --0.781445553E+00-0.781975550E+00-0.782500604E+00-0.783020713E+00-0.783535878E+00 --0.784046100E+00-0.784554914E+00-0.785072500E+00-0.785584330E+00-0.786090404E+00 --0.786590721E+00-0.787085283E+00-0.787574088E+00-0.788057136E+00-0.788534429E+00 --0.789005965E+00-0.789471745E+00-0.789931769E+00-0.790386036E+00-0.790834548E+00 --0.791277303E+00-0.791714301E+00-0.792145544E+00-0.792571030E+00-0.792990760E+00 --0.793387061E+00-0.793787672E+00-0.794235936E+00-0.794745603E+00-0.795305425E+00 --0.795910965E+00-0.796562223E+00-0.797259200E+00-0.798001894E+00-0.798790307E+00 --0.799624437E+00-0.800502791E+00-0.801425683E+00-0.802394778E+00-0.803399072E+00 --0.804465912E+00-0.805570040E+00-0.806715574E+00-0.807904914E+00-0.809138058E+00 --0.810415006E+00-0.811735760E+00-0.813100318E+00-0.814508682E+00-0.815960850E+00 --0.817456822E+00-0.818996600E+00-0.820580183E+00-0.822206449E+00-0.823876719E+00 --0.825591878E+00-0.827351925E+00-0.829156861E+00-0.831006685E+00-0.832903183E+00 --0.834846234E+00-0.836834981E+00-0.838869423E+00-0.840951889E+00-0.843090936E+00 --0.999449502E+00-0.998374323E+00-0.997394421E+00-0.996514273E+00-0.995726777E+00 --0.995031933E+00-0.994429742E+00-0.993920204E+00-0.993503319E+00-0.993179085E+00 --0.992947505E+00-0.992808577E+00-0.992762302E+00-0.992808679E+00-0.992947709E+00 --0.993179391E+00-0.993528572E+00-0.993885907E+00-0.994151497E+00-0.994324966E+00 --0.994393557E+00-0.994364095E+00-0.994236579E+00-0.994011010E+00-0.993687387E+00 --0.993265712E+00-0.992747757E+00-0.992146600E+00-0.991461970E+00-0.990693866E+00 --0.989842289E+00-0.988907238E+00-0.987888714E+00-0.986777915E+00-0.985562825E+00 --0.984252866E+00-0.982848036E+00-0.981348335E+00-0.979765540E+00-0.978084621E+00 --0.976290276E+00-0.974382505E+00-0.972355240E+00-0.970224652E+00-0.967991522E+00 --0.965655849E+00-0.963217633E+00-0.960676874E+00-0.958033927E+00-0.955254578E+00 --0.952323931E+00-0.949241986E+00-0.946008743E+00-0.942624202E+00-0.939088364E+00 --0.935395586E+00-0.931560713E+00-0.927596630E+00-0.923713877E+00-0.919965452E+00 --0.916304549E+00-0.912731169E+00-0.909245313E+00-0.905846979E+00-0.902536169E+00 --0.899312882E+00-0.896177118E+00-0.893128877E+00-0.890157513E+00-0.887200928E+00 --0.884299483E+00-0.881467072E+00-0.878726366E+00-0.876039145E+00-0.873405408E+00 --0.870825155E+00-0.868298388E+00-0.865825318E+00-0.863408941E+00-0.861048780E+00 --0.858722973E+00-0.856444189E+00-0.854211788E+00-0.852022772E+00-0.849873927E+00 --0.847765599E+00-0.845697884E+00-0.843669207E+00-0.841680447E+00-0.839731494E+00 --0.837818273E+00-0.835938648E+00-0.834092618E+00-0.832279411E+00-0.830502912E+00 --0.828757371E+00-0.827044848E+00-0.825365408E+00-0.823716175E+00-0.822096034E+00 --0.820504986E+00-0.818942870E+00-0.817407145E+00-0.815901032E+00-0.814422410E+00 --0.812971121E+00-0.811547166E+00-0.810150158E+00-0.808778046E+00-0.807430725E+00 --0.806108196E+00-0.804809878E+00-0.803535676E+00-0.802285613E+00-0.801058201E+00 --0.799854089E+00-0.798673489E+00-0.797515716E+00-0.796379584E+00-0.795265134E+00 --0.794172402E+00-0.793101673E+00-0.792052006E+00-0.791022096E+00-0.790013395E+00 --0.789025153E+00-0.788057368E+00-0.787109426E+00-0.786180595E+00-0.785271096E+00 --0.784381221E+00-0.783510634E+00-0.782659335E+00-0.781826780E+00-0.781011932E+00 --0.780215113E+00-0.779436870E+00-0.778677220E+00-0.777936162E+00-0.777212585E+00 --0.776506000E+00-0.775816640E+00-0.775145073E+00-0.774491125E+00-0.773854028E+00 --0.773233739E+00-0.772630706E+00-0.772044926E+00-0.771475716E+00-0.770922803E+00 --0.770386733E+00-0.769867763E+00-0.769365891E+00-0.768880430E+00-0.768411161E+00 --0.767958083E+00-0.767521637E+00-0.767102022E+00-0.766699109E+00-0.766312900E+00 --0.765943190E+00-0.765589952E+00-0.765253404E+00-0.764933506E+00-0.764630247E+00 --0.764343652E+00-0.764073745E+00-0.763820536E+00-0.763584019E+00-0.763363960E+00 --0.763160362E+00-0.762973223E+00-0.762802595E+00-0.762648493E+00-0.762510713E+00 --0.762389175E+00-0.762283889E+00-0.762194811E+00-0.762121941E+00-0.762065203E+00 --0.762024175E+00-0.761998831E+00-0.761989147E+00-0.761995349E+00-0.762017360E+00 --0.762054623E+00-0.762107131E+00-0.762174828E+00-0.762257608E+00-0.762355469E+00 --0.762468467E+00-0.762596149E+00-0.762738052E+00-0.762894176E+00-0.763064521E+00 --0.763249115E+00-0.763448452E+00-0.763661071E+00-0.763886973E+00-0.764126157E+00 --0.764378624E+00-0.764644373E+00-0.764922854E+00-0.765213847E+00-0.765517609E+00 --0.765833983E+00-0.766161784E+00-0.766500766E+00-0.766850930E+00-0.767212092E+00 --0.767584066E+00-0.767966690E+00-0.768360057E+00-0.768763660E+00-0.769176229E+00 --0.769597683E+00-0.770030746E+00-0.770477834E+00-0.770929780E+00-0.771386584E+00 --0.771847741E+00-0.772313610E+00-0.772785154E+00-0.773262372E+00-0.773745266E+00 --0.774233834E+00-0.774728077E+00-0.775227995E+00-0.775733588E+00-0.776244856E+00 --0.776761798E+00-0.777284416E+00-0.777812708E+00-0.778324459E+00-0.778839838E+00 --0.779361082E+00-0.779877382E+00-0.780388737E+00-0.780896540E+00-0.781424372E+00 --0.781946448E+00-0.782462767E+00-0.782973331E+00-0.783478138E+00-0.783977189E+00 --0.784470483E+00-0.784958022E+00-0.785439804E+00-0.785915830E+00-0.786386099E+00 --0.786850613E+00-0.787309370E+00-0.787762371E+00-0.788209615E+00-0.788651104E+00 --0.789086836E+00-0.789516812E+00-0.789941031E+00-0.790359495E+00-0.790772202E+00 --0.791158982E+00-0.791546232E+00-0.792001599E+00-0.792507845E+00-0.793059808E+00 --0.793657490E+00-0.794300889E+00-0.794988385E+00-0.795722067E+00-0.796502560E+00 --0.797329865E+00-0.798203982E+00-0.799124910E+00-0.800082054E+00-0.801076610E+00 --0.802123402E+00-0.803219637E+00-0.804356732E+00-0.805534686E+00-0.806752169E+00 --0.808012757E+00-0.809317149E+00-0.810665346E+00-0.812057348E+00-0.813493155E+00 --0.814972767E+00-0.816496183E+00-0.818063404E+00-0.819669098E+00-0.821319040E+00 --0.823013870E+00-0.824753588E+00-0.826538195E+00-0.828367691E+00-0.830242075E+00 --0.832161348E+00-0.834125509E+00-0.836135165E+00-0.838194923E+00-0.840309917E+00 --0.996223298E+00-0.995110662E+00-0.994093149E+00-0.993170757E+00-0.992343488E+00 --0.991611341E+00-0.990974316E+00-0.990432413E+00-0.989985632E+00-0.989633974E+00 --0.989377437E+00-0.989216022E+00-0.989149730E+00-0.989178560E+00-0.989302511E+00 --0.989521648E+00-0.989869787E+00-0.990202218E+00-0.990434775E+00-0.990569279E+00 --0.990605729E+00-0.990544126E+00-0.990384470E+00-0.990126760E+00-0.989770997E+00 --0.989317181E+00-0.988782298E+00-0.988164283E+00-0.987462795E+00-0.986677833E+00 --0.985809398E+00-0.984857489E+00-0.983822108E+00-0.982703253E+00-0.981500924E+00 --0.980215123E+00-0.978826947E+00-0.977330015E+00-0.975746018E+00-0.974073311E+00 --0.972281118E+00-0.970381436E+00-0.968379210E+00-0.966274442E+00-0.964067130E+00 --0.961757276E+00-0.959344879E+00-0.956829939E+00-0.954212456E+00-0.951480254E+00 --0.948596945E+00-0.945562338E+00-0.942376434E+00-0.939039231E+00-0.935550730E+00 --0.931910932E+00-0.928117053E+00-0.924245203E+00-0.920461079E+00-0.916757691E+00 --0.913135036E+00-0.909591986E+00-0.906136037E+00-0.902767611E+00-0.899486708E+00 --0.896293328E+00-0.893187472E+00-0.890169138E+00-0.887223723E+00-0.884289032E+00 --0.881462462E+00-0.878685503E+00-0.875958375E+00-0.873288750E+00-0.870676628E+00 --0.868122009E+00-0.865624893E+00-0.863185280E+00-0.860803170E+00-0.858476878E+00 --0.856178715E+00-0.853922636E+00-0.851710865E+00-0.849540631E+00-0.847414699E+00 --0.845329701E+00-0.843285170E+00-0.841278505E+00-0.839307562E+00-0.837375680E+00 --0.835479295E+00-0.833616506E+00-0.831788949E+00-0.829995409E+00-0.828232697E+00 --0.826502752E+00-0.824806029E+00-0.823141696E+00-0.821506540E+00-0.819900476E+00 --0.818322567E+00-0.816773330E+00-0.815254014E+00-0.813761906E+00-0.812295481E+00 --0.810855061E+00-0.809442202E+00-0.808055786E+00-0.806693349E+00-0.805356320E+00 --0.804044170E+00-0.802756401E+00-0.801492943E+00-0.800252493E+00-0.799034676E+00 --0.797839491E+00-0.796666939E+00-0.795516590E+00-0.794387795E+00-0.793281004E+00 --0.792196217E+00-0.791133366E+00-0.790090892E+00-0.789068251E+00-0.788065392E+00 --0.787082307E+00-0.786120392E+00-0.785177821E+00-0.784254414E+00-0.783350169E+00 --0.782464833E+00-0.781597978E+00-0.780750599E+00-0.779921779E+00-0.779110770E+00 --0.778317570E+00-0.777542048E+00-0.776784463E+00-0.776045350E+00-0.775323535E+00 --0.774618728E+00-0.773930928E+00-0.773260110E+00-0.772606570E+00-0.771969966E+00 --0.771350003E+00-0.770746521E+00-0.770160005E+00-0.769589926E+00-0.769036202E+00 --0.768498269E+00-0.767977802E+00-0.767473683E+00-0.766985755E+00-0.766514020E+00 --0.766058477E+00-0.765619126E+00-0.765196158E+00-0.764789896E+00-0.764400136E+00 --0.764026820E+00-0.763669947E+00-0.763329517E+00-0.763005664E+00-0.762698523E+00 --0.762408032E+00-0.762134185E+00-0.761876988E+00-0.761636442E+00-0.761412540E+00 --0.761205158E+00-0.761014285E+00-0.760839935E+00-0.760682008E+00-0.760540460E+00 --0.760415292E+00-0.760306503E+00-0.760213786E+00-0.760137221E+00-0.760076709E+00 --0.760032110E+00-0.760003397E+00-0.759990570E+00-0.759993628E+00-0.760012572E+00 --0.760046380E+00-0.760096147E+00-0.760160994E+00-0.760240922E+00-0.760335932E+00 --0.760446022E+00-0.760571082E+00-0.760710194E+00-0.760863795E+00-0.761031976E+00 --0.761214329E+00-0.761410852E+00-0.761621547E+00-0.761845661E+00-0.762082949E+00 --0.762333860E+00-0.762597916E+00-0.762874741E+00-0.763164333E+00-0.763466693E+00 --0.763781821E+00-0.764108268E+00-0.764446444E+00-0.764796032E+00-0.765156594E+00 --0.765528130E+00-0.765910642E+00-0.766303204E+00-0.766705371E+00-0.767116367E+00 --0.767536927E+00-0.767970954E+00-0.768418742E+00-0.768871388E+00-0.769328892E+00 --0.769791254E+00-0.770258474E+00-0.770730552E+00-0.771207488E+00-0.771689281E+00 --0.772175933E+00-0.772667443E+00-0.773163810E+00-0.773665036E+00-0.774171120E+00 --0.774683927E+00-0.775202796E+00-0.775727340E+00-0.776257559E+00-0.776770079E+00 --0.777277625E+00-0.777812278E+00-0.778344600E+00-0.778871165E+00-0.779391974E+00 --0.779907027E+00-0.780416324E+00-0.780919864E+00-0.781417649E+00-0.781909677E+00 --0.782395948E+00-0.782876464E+00-0.783351223E+00-0.783820226E+00-0.784283473E+00 --0.784740963E+00-0.785192698E+00-0.785638676E+00-0.786078897E+00-0.786513363E+00 --0.786942072E+00-0.787365025E+00-0.787782222E+00-0.788193662E+00-0.788599347E+00 --0.788976606E+00-0.789378258E+00-0.789830796E+00-0.790328456E+00-0.790872927E+00 --0.791464210E+00-0.792102304E+00-0.792787211E+00-0.793518929E+00-0.794297458E+00 --0.795122800E+00-0.795994953E+00-0.796908529E+00-0.797858385E+00-0.798847829E+00 --0.799876931E+00-0.800961703E+00-0.802087335E+00-0.803253826E+00-0.804461175E+00 --0.805709384E+00-0.806998451E+00-0.808330233E+00-0.809705874E+00-0.811125319E+00 --0.812588570E+00-0.814095625E+00-0.815644588E+00-0.817229312E+00-0.818858925E+00 --0.820533426E+00-0.822252816E+00-0.824017095E+00-0.825826261E+00-0.827680317E+00 --0.829579261E+00-0.831521667E+00-0.833506696E+00-0.835534577E+00-0.837607458E+00 --0.992744027E+00-0.991593935E+00-0.990538966E+00-0.989579119E+00-0.988714394E+00 --0.987944790E+00-0.987270310E+00-0.986690951E+00-0.986206714E+00-0.985817599E+00 --0.985523607E+00-0.985324736E+00-0.985220988E+00-0.985216522E+00-0.985287653E+00 --0.985431004E+00-0.985689157E+00-0.985990263E+00-0.986209899E+00-0.986312262E+00 --0.986316572E+00-0.986222828E+00-0.986031031E+00-0.985741181E+00-0.985353278E+00 --0.984881496E+00-0.984330097E+00-0.983695223E+00-0.982976877E+00-0.982175057E+00 --0.981289764E+00-0.980320998E+00-0.979268758E+00-0.978133045E+00-0.976913859E+00 --0.975611200E+00-0.974225067E+00-0.972755699E+00-0.971217579E+00-0.969546218E+00 --0.967774897E+00-0.965901034E+00-0.963924627E+00-0.961845678E+00-0.959664185E+00 --0.957380150E+00-0.954993572E+00-0.952504450E+00-0.949912786E+00-0.947217889E+00 --0.944381919E+00-0.941394650E+00-0.938256084E+00-0.934966219E+00-0.931525057E+00 --0.927921287E+00-0.924194252E+00-0.920417476E+00-0.916722210E+00-0.913107678E+00 --0.909573881E+00-0.906120817E+00-0.902748488E+00-0.899456893E+00-0.896246033E+00 --0.893115906E+00-0.890066514E+00-0.887092587E+00-0.884061484E+00-0.881171877E+00 --0.878392396E+00-0.875662770E+00-0.872969910E+00-0.870334552E+00-0.867756697E+00 --0.865236345E+00-0.862773496E+00-0.860368150E+00-0.858020307E+00-0.855727885E+00 --0.853458606E+00-0.851231410E+00-0.849047472E+00-0.846905419E+00-0.844805244E+00 --0.842745184E+00-0.840725126E+00-0.838741583E+00-0.836794342E+00-0.834882654E+00 --0.833006336E+00-0.831165506E+00-0.829360139E+00-0.827587095E+00-0.825844969E+00 --0.824133764E+00-0.822452939E+00-0.820803155E+00-0.819183049E+00-0.817593232E+00 --0.816032415E+00-0.814500597E+00-0.812997238E+00-0.811519857E+00-0.810068159E+00 --0.808642142E+00-0.807241808E+00-0.805866435E+00-0.804517106E+00-0.803192093E+00 --0.801891395E+00-0.800615013E+00-0.799361751E+00-0.798131470E+00-0.796924145E+00 --0.795739776E+00-0.794578272E+00-0.793438139E+00-0.792318853E+00-0.791220316E+00 --0.790143473E+00-0.789088255E+00-0.788053051E+00-0.787037680E+00-0.786042426E+00 --0.785066943E+00-0.784111361E+00-0.783174756E+00-0.782257129E+00-0.781358480E+00 --0.780478809E+00-0.779618014E+00-0.778775244E+00-0.777950262E+00-0.777143090E+00 --0.776353728E+00-0.775582177E+00-0.774828435E+00-0.774091402E+00-0.773371499E+00 --0.772668743E+00-0.771983135E+00-0.771314383E+00-0.770661874E+00-0.770026040E+00 --0.769406753E+00-0.768803978E+00-0.768216933E+00-0.767645996E+00-0.767091414E+00 --0.766553029E+00-0.766030664E+00-0.765524491E+00-0.765034510E+00-0.764560720E+00 --0.764103003E+00-0.763660630E+00-0.763234453E+00-0.762824933E+00-0.762431528E+00 --0.762054529E+00-0.761693975E+00-0.761349863E+00-0.761022195E+00-0.760711069E+00 --0.760416726E+00-0.760139213E+00-0.759878355E+00-0.759634149E+00-0.759406592E+00 --0.759195687E+00-0.759001187E+00-0.758823244E+00-0.758661977E+00-0.758517090E+00 --0.758388582E+00-0.758276454E+00-0.758180705E+00-0.758100804E+00-0.758037109E+00 --0.757989652E+00-0.757958080E+00-0.757942394E+00-0.757942594E+00-0.757958679E+00 --0.757990091E+00-0.758037107E+00-0.758099583E+00-0.758177139E+00-0.758269776E+00 --0.758377494E+00-0.758500219E+00-0.758637258E+00-0.758789208E+00-0.758955714E+00 --0.759136391E+00-0.759331240E+00-0.759540259E+00-0.759763285E+00-0.759999658E+00 --0.760249918E+00-0.760513306E+00-0.760789461E+00-0.761078384E+00-0.761380075E+00 --0.761694197E+00-0.762020086E+00-0.762358645E+00-0.762708631E+00-0.763069591E+00 --0.763441525E+00-0.763824434E+00-0.764217813E+00-0.764620887E+00-0.765033074E+00 --0.765454734E+00-0.765889725E+00-0.766338213E+00-0.766791559E+00-0.767249763E+00 --0.767712825E+00-0.768180745E+00-0.768653523E+00-0.769131159E+00-0.769613653E+00 --0.770101005E+00-0.770593215E+00-0.771090282E+00-0.771592208E+00-0.772098353E+00 --0.772608196E+00-0.773123191E+00-0.773643338E+00-0.774168637E+00-0.774684690E+00 --0.775175738E+00-0.775703532E+00-0.776237340E+00-0.776765325E+00-0.777287486E+00 --0.777803825E+00-0.778314340E+00-0.778819031E+00-0.779317900E+00-0.779810945E+00 --0.780298167E+00-0.780779565E+00-0.781255141E+00-0.781724893E+00-0.782188821E+00 --0.782646927E+00-0.783099209E+00-0.783545668E+00-0.783986304E+00-0.784421116E+00 --0.784850105E+00-0.785273271E+00-0.785690613E+00-0.786102133E+00-0.786507829E+00 --0.786888468E+00-0.787280336E+00-0.787729220E+00-0.788224916E+00-0.788767424E+00 --0.789356743E+00-0.789992874E+00-0.790675817E+00-0.791405572E+00-0.792182138E+00 --0.793005517E+00-0.793873870E+00-0.794779026E+00-0.795723770E+00-0.796708102E+00 --0.797732023E+00-0.798799808E+00-0.799913977E+00-0.801069004E+00-0.802264891E+00 --0.803501636E+00-0.804779241E+00-0.806097704E+00-0.807457027E+00-0.808857343E+00 --0.810304232E+00-0.811794926E+00-0.813322696E+00-0.814887091E+00-0.816496375E+00 --0.818150548E+00-0.819851709E+00-0.821597110E+00-0.823385363E+00-0.825216469E+00 --0.827090427E+00-0.829007238E+00-0.830966901E+00-0.832969417E+00-0.835014605E+00 --0.989011689E+00-0.987824142E+00-0.986731717E+00-0.985734414E+00-0.984832232E+00 --0.984025173E+00-0.983313237E+00-0.982696422E+00-0.982174729E+00-0.981748159E+00 --0.981426676E+00-0.981189372E+00-0.981024288E+00-0.980931423E+00-0.980910779E+00 --0.980962355E+00-0.981130522E+00-0.981344664E+00-0.981483467E+00-0.981546931E+00 --0.981526086E+00-0.981400202E+00-0.981176264E+00-0.980854273E+00-0.980444194E+00 --0.979959409E+00-0.979391152E+00-0.978739421E+00-0.978004216E+00-0.977185539E+00 --0.976283388E+00-0.975297764E+00-0.974234446E+00-0.973090494E+00-0.971863260E+00 --0.970552745E+00-0.969158948E+00-0.967677051E+00-0.966130940E+00-0.964516558E+00 --0.962781250E+00-0.960939714E+00-0.958991949E+00-0.956938360E+00-0.954782686E+00 --0.952524470E+00-0.950163711E+00-0.947700408E+00-0.945134563E+00-0.942467485E+00 --0.939678853E+00-0.936738923E+00-0.933647694E+00-0.930397525E+00-0.927018351E+00 --0.923519444E+00-0.919900801E+00-0.916219100E+00-0.912612691E+00-0.909087017E+00 --0.905642077E+00-0.902277871E+00-0.898994399E+00-0.895791661E+00-0.892669658E+00 --0.889628388E+00-0.886625414E+00-0.883649722E+00-0.880712291E+00-0.877813120E+00 --0.875035238E+00-0.872359417E+00-0.869734505E+00-0.867160504E+00-0.864637412E+00 --0.862165230E+00-0.859743958E+00-0.857373928E+00-0.855060353E+00-0.852801799E+00 --0.850565554E+00-0.848375315E+00-0.846225328E+00-0.844115593E+00-0.842046110E+00 --0.840015147E+00-0.838022079E+00-0.836066435E+00-0.834146725E+00-0.832260901E+00 --0.830408964E+00-0.828590942E+00-0.826807712E+00-0.825055402E+00-0.823333944E+00 --0.821643607E+00-0.819984497E+00-0.818356263E+00-0.816754866E+00-0.815182468E+00 --0.813639070E+00-0.812124671E+00-0.810636818E+00-0.809174164E+00-0.807737429E+00 --0.806327354E+00-0.804943400E+00-0.803583852E+00-0.802247777E+00-0.800936576E+00 --0.799649691E+00-0.798386983E+00-0.797146660E+00-0.795928184E+00-0.794732016E+00 --0.793558824E+00-0.792408137E+00-0.791278333E+00-0.790169377E+00-0.789081269E+00 --0.788014199E+00-0.786966997E+00-0.785940089E+00-0.784933522E+00-0.783947295E+00 --0.782980600E+00-0.782032235E+00-0.781102425E+00-0.780191630E+00-0.779299813E+00 --0.778426974E+00-0.777571933E+00-0.776734232E+00-0.775914037E+00-0.775111718E+00 --0.774327180E+00-0.773560226E+00-0.772810061E+00-0.772076600E+00-0.771359842E+00 --0.770659815E+00-0.769976494E+00-0.769309548E+00-0.768658897E+00-0.768024297E+00 --0.767406444E+00-0.766804166E+00-0.766217463E+00-0.765646334E+00-0.765090779E+00 --0.764551450E+00-0.764027496E+00-0.763520156E+00-0.763028528E+00-0.762552392E+00 --0.762091747E+00-0.761646593E+00-0.761217231E+00-0.760804230E+00-0.760407434E+00 --0.760026843E+00-0.759662456E+00-0.759314336E+00-0.758982854E+00-0.758668088E+00 --0.758370140E+00-0.758088982E+00-0.757824613E+00-0.757577033E+00-0.757346080E+00 --0.757131679E+00-0.756933981E+00-0.756752896E+00-0.756588424E+00-0.756440565E+00 --0.756309319E+00-0.756194195E+00-0.756095295E+00-0.756012559E+00-0.755946041E+00 --0.755895741E+00-0.755861658E+00-0.755843685E+00-0.755841347E+00-0.755855235E+00 --0.755884706E+00-0.755929681E+00-0.755990160E+00-0.756066144E+00-0.756157188E+00 --0.756263078E+00-0.756383862E+00-0.756519400E+00-0.756669692E+00-0.756834738E+00 --0.757014538E+00-0.757208364E+00-0.757416672E+00-0.757639077E+00-0.757875215E+00 --0.758125085E+00-0.758388689E+00-0.758665648E+00-0.758954727E+00-0.759256598E+00 --0.759570730E+00-0.759897097E+00-0.760235701E+00-0.760586542E+00-0.760949075E+00 --0.761322960E+00-0.761708506E+00-0.762104085E+00-0.762509699E+00-0.762925346E+00 --0.763351026E+00-0.763787059E+00-0.764236248E+00-0.764690294E+00-0.765149198E+00 --0.765610900E+00-0.766077596E+00-0.766549444E+00-0.767026445E+00-0.767508597E+00 --0.767995901E+00-0.768488357E+00-0.768985965E+00-0.769488725E+00-0.769996637E+00 --0.770509701E+00-0.771027916E+00-0.771551284E+00-0.772079804E+00-0.772594620E+00 --0.773094379E+00-0.773593687E+00-0.774092543E+00-0.774590949E+00-0.775119585E+00 --0.775644101E+00-0.776162794E+00-0.776675664E+00-0.777182710E+00-0.777683933E+00 --0.778179333E+00-0.778668910E+00-0.779152663E+00-0.779630593E+00-0.780102700E+00 --0.780568984E+00-0.781029444E+00-0.781484081E+00-0.781932894E+00-0.782375885E+00 --0.782813052E+00-0.783244396E+00-0.783669916E+00-0.784089613E+00-0.784503487E+00 --0.784895313E+00-0.785288375E+00-0.785721523E+00-0.786211158E+00-0.786751702E+00 --0.787339058E+00-0.787973226E+00-0.788654206E+00-0.789381997E+00-0.790156600E+00 --0.790978014E+00-0.791838533E+00-0.792738577E+00-0.793678209E+00-0.794657430E+00 --0.795676239E+00-0.796734636E+00-0.797836657E+00-0.798980222E+00-0.800164645E+00 --0.801389928E+00-0.802656069E+00-0.803963070E+00-0.805310929E+00-0.806699648E+00 --0.808129225E+00-0.809597639E+00-0.811108768E+00-0.812658438E+00-0.814249916E+00 --0.815884246E+00-0.817561429E+00-0.819281465E+00-0.821044353E+00-0.822850094E+00 --0.824698687E+00-0.826590132E+00-0.828524431E+00-0.830501581E+00-0.832521584E+00 --0.985026285E+00-0.983801282E+00-0.982671401E+00-0.981636642E+00-0.980697005E+00 --0.979852490E+00-0.979103097E+00-0.978459458E+00-0.977913718E+00-0.977440198E+00 --0.977038898E+00-0.976709819E+00-0.976452959E+00-0.976268320E+00-0.976155900E+00 --0.976115701E+00-0.976193881E+00-0.976321059E+00-0.976372898E+00-0.976349398E+00 --0.976250560E+00-0.976076382E+00-0.975820168E+00-0.975470391E+00-0.975052222E+00 --0.974550580E+00-0.973964824E+00-0.973294556E+00-0.972541007E+00-0.971704177E+00 --0.970784065E+00-0.969780671E+00-0.968693996E+00-0.967524040E+00-0.966270802E+00 --0.964934282E+00-0.963511414E+00-0.962031132E+00-0.960493631E+00-0.958898910E+00 --0.957221654E+00-0.955425478E+00-0.953523073E+00-0.951514439E+00-0.949399577E+00 --0.947178487E+00-0.944851169E+00-0.942417621E+00-0.939877787E+00-0.937235217E+00 --0.934487747E+00-0.931590601E+00-0.928559291E+00-0.925408245E+00-0.922137466E+00 --0.918746951E+00-0.915236702E+00-0.911650076E+00-0.908132524E+00-0.904695707E+00 --0.901339624E+00-0.898064275E+00-0.894869660E+00-0.891755780E+00-0.888731527E+00 --0.885772986E+00-0.882852704E+00-0.879970684E+00-0.877126923E+00-0.874321423E+00 --0.871554184E+00-0.868889088E+00-0.866316926E+00-0.863795674E+00-0.861325331E+00 --0.858905899E+00-0.856537377E+00-0.854219764E+00-0.851953061E+00-0.849719062E+00 --0.847514113E+00-0.845363219E+00-0.843249366E+00-0.841174357E+00-0.839139599E+00 --0.837142691E+00-0.835180888E+00-0.833255195E+00-0.831364412E+00-0.829508538E+00 --0.827682852E+00-0.825889941E+00-0.824132476E+00-0.822403657E+00-0.820705716E+00 --0.819039003E+00-0.817403517E+00-0.815797837E+00-0.814219176E+00-0.812667588E+00 --0.811143073E+00-0.809645631E+00-0.808174911E+00-0.806730304E+00-0.805311819E+00 --0.803919455E+00-0.802552933E+00-0.801209996E+00-0.799890306E+00-0.798593705E+00 --0.797320633E+00-0.796071948E+00-0.794845355E+00-0.793640609E+00-0.792457644E+00 --0.791296929E+00-0.790157374E+00-0.789038822E+00-0.787941445E+00-0.786865243E+00 --0.785809530E+00-0.784773185E+00-0.783756199E+00-0.782758701E+00-0.781781507E+00 --0.780823578E+00-0.779883969E+00-0.778962680E+00-0.778059630E+00-0.777174645E+00 --0.776308450E+00-0.775459760E+00-0.774628421E+00-0.773814462E+00-0.773018036E+00 --0.772238561E+00-0.771475818E+00-0.770729900E+00-0.770000808E+00-0.769288520E+00 --0.768592265E+00-0.767911929E+00-0.767247336E+00-0.766598491E+00-0.765965943E+00 --0.765349084E+00-0.764747798E+00-0.764162088E+00-0.763591021E+00-0.763034950E+00 --0.762493889E+00-0.761969096E+00-0.761459863E+00-0.760966121E+00-0.760487871E+00 --0.760025111E+00-0.759577958E+00-0.759145098E+00-0.758728263E+00-0.758327633E+00 --0.757943207E+00-0.757574986E+00-0.757222971E+00-0.756886965E+00-0.756568395E+00 --0.756267261E+00-0.755982866E+00-0.755715261E+00-0.755464444E+00-0.755230417E+00 --0.755013178E+00-0.754812715E+00-0.754628864E+00-0.754461627E+00-0.754311002E+00 --0.754176991E+00-0.754058908E+00-0.753955640E+00-0.753869829E+00-0.753801387E+00 --0.753749163E+00-0.753713156E+00-0.753693368E+00-0.753689797E+00-0.753702303E+00 --0.753730357E+00-0.753773916E+00-0.753832979E+00-0.753907546E+00-0.753997618E+00 --0.754102778E+00-0.754222691E+00-0.754357359E+00-0.754506780E+00-0.754670956E+00 --0.754849446E+00-0.755041935E+00-0.755250242E+00-0.755473287E+00-0.755710064E+00 --0.755960574E+00-0.756224817E+00-0.756502793E+00-0.756794125E+00-0.757097755E+00 --0.757413622E+00-0.757741724E+00-0.758082063E+00-0.758434638E+00-0.758794591E+00 --0.759169254E+00-0.759558484E+00-0.759957748E+00-0.760367046E+00-0.760786377E+00 --0.761215742E+00-0.761655635E+00-0.762101217E+00-0.762555678E+00-0.763015292E+00 --0.763480057E+00-0.763949974E+00-0.764425043E+00-0.764905264E+00-0.765390637E+00 --0.765881162E+00-0.766376839E+00-0.766877668E+00-0.767383649E+00-0.767894781E+00 --0.768411066E+00-0.768932503E+00-0.769459091E+00-0.769990832E+00-0.770506693E+00 --0.771015162E+00-0.771523181E+00-0.772030748E+00-0.772537864E+00-0.773044529E+00 --0.773550743E+00-0.774059025E+00-0.774580073E+00-0.775095297E+00-0.775604699E+00 --0.776108276E+00-0.776606031E+00-0.777097962E+00-0.777584070E+00-0.778064355E+00 --0.778538817E+00-0.779007455E+00-0.779470270E+00-0.779927262E+00-0.780378430E+00 --0.780823775E+00-0.781263297E+00-0.781696995E+00-0.782124871E+00-0.782546923E+00 --0.782949933E+00-0.783358804E+00-0.783807760E+00-0.784296802E+00-0.784825930E+00 --0.785411155E+00-0.786043359E+00-0.786722375E+00-0.787448203E+00-0.788220842E+00 --0.789036905E+00-0.789892249E+00-0.790787182E+00-0.791721703E+00-0.792695812E+00 --0.793709509E+00-0.794762795E+00-0.795855377E+00-0.796987478E+00-0.798160438E+00 --0.799374258E+00-0.800628936E+00-0.801924784E+00-0.803263645E+00-0.804639343E+00 --0.806051877E+00-0.807501247E+00-0.808987455E+00-0.810517935E+00-0.812091882E+00 --0.813707993E+00-0.815366266E+00-0.817063144E+00-0.818800667E+00-0.820581042E+00 --0.822404270E+00-0.824270351E+00-0.826179284E+00-0.828131069E+00-0.830125707E+00 --0.980787815E+00-0.979525356E+00-0.978358019E+00-0.977285804E+00-0.976314866E+00 --0.975460690E+00-0.974678735E+00-0.973969000E+00-0.973331485E+00-0.972766190E+00 --0.972273115E+00-0.971852260E+00-0.971503625E+00-0.971227210E+00-0.971023016E+00 --0.970891041E+00-0.970879234E+00-0.970919448E+00-0.970884323E+00-0.970773859E+00 --0.970588057E+00-0.970326915E+00-0.969983072E+00-0.969575934E+00-0.969126457E+00 --0.968596748E+00-0.967983758E+00-0.967287486E+00-0.966507933E+00-0.965645099E+00 --0.964698982E+00-0.963669585E+00-0.962556906E+00-0.961360945E+00-0.960077901E+00 --0.958720668E+00-0.957306216E+00-0.955834544E+00-0.954305651E+00-0.952719539E+00 --0.951076207E+00-0.949333013E+00-0.947475968E+00-0.945512694E+00-0.943443192E+00 --0.941267462E+00-0.938985503E+00-0.936597315E+00-0.934102900E+00-0.931500274E+00 --0.928809004E+00-0.926013886E+00-0.923090969E+00-0.920048318E+00-0.916885931E+00 --0.913603810E+00-0.910201954E+00-0.906710403E+00-0.903281709E+00-0.899933748E+00 --0.896666523E+00-0.893480031E+00-0.890379823E+00-0.887438432E+00-0.884535301E+00 --0.881670430E+00-0.878843820E+00-0.876055471E+00-0.873305382E+00-0.870593553E+00 --0.867919985E+00-0.865284677E+00-0.862733426E+00-0.860264923E+00-0.857847330E+00 --0.855480647E+00-0.853164874E+00-0.850900011E+00-0.848678911E+00-0.846486589E+00 --0.844328468E+00-0.842204548E+00-0.840127524E+00-0.838091704E+00-0.836094073E+00 --0.834132911E+00-0.832204772E+00-0.830310749E+00-0.828451708E+00-0.826625398E+00 --0.824831530E+00-0.823070117E+00-0.821341589E+00-0.819641309E+00-0.817969280E+00 --0.816326149E+00-0.814714287E+00-0.813131656E+00-0.811574942E+00-0.810045307E+00 --0.808542871E+00-0.807066797E+00-0.805617736E+00-0.804193951E+00-0.802794602E+00 --0.801420020E+00-0.800070504E+00-0.798744256E+00-0.797441256E+00-0.796161502E+00 --0.794905075E+00-0.793671120E+00-0.792459165E+00-0.791269208E+00-0.790101250E+00 --0.788955167E+00-0.787829588E+00-0.786724183E+00-0.785638977E+00-0.784574618E+00 --0.783529976E+00-0.782504695E+00-0.781498878E+00-0.780512579E+00-0.779544837E+00 --0.778595940E+00-0.777665442E+00-0.776753344E+00-0.775859645E+00-0.774983818E+00 --0.774124678E+00-0.773282991E+00-0.772458806E+00-0.771652124E+00-0.770862712E+00 --0.770089490E+00-0.769332329E+00-0.768591283E+00-0.767866930E+00-0.767158467E+00 --0.766466123E+00-0.765789429E+00-0.765128186E+00-0.764482293E+00-0.763852577E+00 --0.763237065E+00-0.762636562E+00-0.762051067E+00-0.761480581E+00-0.760925103E+00 --0.760384633E+00-0.759858370E+00-0.759347389E+00-0.758851900E+00-0.758371901E+00 --0.757907882E+00-0.757457575E+00-0.757019307E+00-0.756598444E+00-0.756193786E+00 --0.755805333E+00-0.755433084E+00-0.755075695E+00-0.754735023E+00-0.754412348E+00 --0.754107672E+00-0.753820992E+00-0.753550459E+00-0.753296608E+00-0.753059546E+00 --0.752839273E+00-0.752635998E+00-0.752449581E+00-0.752279776E+00-0.752126584E+00 --0.751989908E+00-0.751868958E+00-0.751764654E+00-0.751676995E+00-0.751605981E+00 --0.751551853E+00-0.751514388E+00-0.751493142E+00-0.751488113E+00-0.751499301E+00 --0.751526226E+00-0.751568656E+00-0.751626590E+00-0.751700028E+00-0.751789445E+00 --0.751894080E+00-0.752013470E+00-0.752147613E+00-0.752296300E+00-0.752459203E+00 --0.752637492E+00-0.752831168E+00-0.753040230E+00-0.753264325E+00-0.753502222E+00 --0.753753851E+00-0.754019214E+00-0.754298497E+00-0.754592316E+00-0.754898371E+00 --0.755216662E+00-0.755547189E+00-0.755887101E+00-0.756239595E+00-0.756606245E+00 --0.756987052E+00-0.757381950E+00-0.757785526E+00-0.758199137E+00-0.758622781E+00 --0.759056459E+00-0.759504940E+00-0.759960778E+00-0.760419463E+00-0.760881089E+00 --0.761349075E+00-0.761822213E+00-0.762300503E+00-0.762783945E+00-0.763272539E+00 --0.763766285E+00-0.764265182E+00-0.764769232E+00-0.765278433E+00-0.765792787E+00 --0.766312292E+00-0.766836950E+00-0.767366759E+00-0.767901721E+00-0.768420909E+00 --0.768938089E+00-0.769454818E+00-0.769971096E+00-0.770486922E+00-0.771002298E+00 --0.771517222E+00-0.772031695E+00-0.772545717E+00-0.773059288E+00-0.773573240E+00 --0.774084996E+00-0.774590929E+00-0.775091038E+00-0.775585324E+00-0.776073787E+00 --0.776556426E+00-0.777033243E+00-0.777504236E+00-0.777969405E+00-0.778428752E+00 --0.778882275E+00-0.779329975E+00-0.779771851E+00-0.780207904E+00-0.780638134E+00 --0.781052331E+00-0.781477010E+00-0.781941774E+00-0.782446624E+00-0.782991560E+00 --0.783576582E+00-0.784203273E+00-0.784880326E+00-0.785604190E+00-0.786374144E+00 --0.787184788E+00-0.788035021E+00-0.788924842E+00-0.789854251E+00-0.790823248E+00 --0.791831834E+00-0.792880008E+00-0.793967770E+00-0.795090773E+00-0.796262068E+00 --0.797473609E+00-0.798721988E+00-0.800007202E+00-0.801329254E+00-0.802688142E+00 --0.804083866E+00-0.805516427E+00-0.806985825E+00-0.808492120E+00-0.810039074E+00 --0.811628191E+00-0.813259470E+00-0.814932913E+00-0.816648519E+00-0.818406287E+00 --0.820206218E+00-0.822047893E+00-0.823931461E+00-0.825857881E+00-0.827827154E+00 --0.976296278E+00-0.974996363E+00-0.973830290E+00-0.972739899E+00-0.971721728E+00 --0.970775778E+00-0.969902047E+00-0.969100537E+00-0.968371246E+00-0.967714176E+00 --0.967129326E+00-0.966616695E+00-0.966176285E+00-0.965808095E+00-0.965512125E+00 --0.965288376E+00-0.965186582E+00-0.965139832E+00-0.965017743E+00-0.964820315E+00 --0.964534202E+00-0.964112294E+00-0.963652440E+00-0.963154639E+00-0.962618891E+00 --0.962045046E+00-0.961406052E+00-0.960683776E+00-0.959878218E+00-0.958989380E+00 --0.958017259E+00-0.956961857E+00-0.955823174E+00-0.954596218E+00-0.953304815E+00 --0.951956191E+00-0.950550348E+00-0.949087285E+00-0.947567001E+00-0.945989498E+00 --0.944354774E+00-0.942662320E+00-0.940850635E+00-0.938932721E+00-0.936908579E+00 --0.934778208E+00-0.932541609E+00-0.930198391E+00-0.927740656E+00-0.925216122E+00 --0.922624789E+00-0.919966658E+00-0.917241729E+00-0.914317741E+00-0.911263748E+00 --0.908090020E+00-0.904796557E+00-0.901400081E+00-0.898060244E+00-0.894801141E+00 --0.891622772E+00-0.888646061E+00-0.885760080E+00-0.882912360E+00-0.880102900E+00 --0.877331701E+00-0.874598762E+00-0.871904084E+00-0.869247666E+00-0.866629508E+00 --0.864049611E+00-0.861507975E+00-0.859004599E+00-0.856568252E+00-0.854203409E+00 --0.851889475E+00-0.849626452E+00-0.847413342E+00-0.845237404E+00-0.843095666E+00 --0.840988128E+00-0.838914792E+00-0.836875656E+00-0.834874299E+00-0.832915363E+00 --0.830992006E+00-0.829102162E+00-0.827243387E+00-0.825417054E+00-0.823623163E+00 --0.821861714E+00-0.820132707E+00-0.818433281E+00-0.816761938E+00-0.815118844E+00 --0.813503999E+00-0.811917404E+00-0.810358928E+00-0.808827282E+00-0.807321999E+00 --0.805843079E+00-0.804390522E+00-0.802963710E+00-0.801560866E+00-0.800182585E+00 --0.798829074E+00-0.797498113E+00-0.796189767E+00-0.794904841E+00-0.793643343E+00 --0.792405272E+00-0.791189197E+00-0.789993857E+00-0.788819317E+00-0.787666470E+00 --0.786535375E+00-0.785423683E+00-0.784332524E+00-0.783261446E+00-0.782209780E+00 --0.781177431E+00-0.780164475E+00-0.779171036E+00-0.778196535E+00-0.777239981E+00 --0.776301368E+00-0.775380964E+00-0.774478959E+00-0.773595365E+00-0.772728781E+00 --0.771878832E+00-0.771045516E+00-0.770228834E+00-0.769429150E+00-0.768646290E+00 --0.767879392E+00-0.767128584E+00-0.766393937E+00-0.765675415E+00-0.764971980E+00 --0.764283897E+00-0.763611148E+00-0.762953734E+00-0.762311455E+00-0.761685049E+00 --0.761073123E+00-0.760474406E+00-0.759889503E+00-0.759319609E+00-0.758764723E+00 --0.758224846E+00-0.757697620E+00-0.757184891E+00-0.756687654E+00-0.756207026E+00 --0.755739775E+00-0.755284536E+00-0.754841309E+00-0.754415200E+00-0.754006514E+00 --0.753614033E+00-0.753235086E+00-0.752872313E+00-0.752527537E+00-0.752200759E+00 --0.751891979E+00-0.751601196E+00-0.751328411E+00-0.751073281E+00-0.750833184E+00 --0.750609876E+00-0.750403380E+00-0.750214395E+00-0.750042023E+00-0.749886264E+00 --0.749747595E+00-0.749625610E+00-0.749520270E+00-0.749431575E+00-0.749359525E+00 --0.749304121E+00-0.749265361E+00-0.749242951E+00-0.749236465E+00-0.749246196E+00 --0.749272022E+00-0.749313322E+00-0.749370127E+00-0.749442845E+00-0.749532202E+00 --0.749636313E+00-0.749755113E+00-0.749888430E+00-0.750037133E+00-0.750201222E+00 --0.750380698E+00-0.750575560E+00-0.750785809E+00-0.751011444E+00-0.751251081E+00 --0.751503830E+00-0.751770312E+00-0.752052185E+00-0.752348428E+00-0.752656908E+00 --0.752976326E+00-0.753307211E+00-0.753652253E+00-0.754011452E+00-0.754384808E+00 --0.754772320E+00-0.755173990E+00-0.755589816E+00-0.756009045E+00-0.756437002E+00 --0.756874992E+00-0.757334250E+00-0.757800570E+00-0.758269737E+00-0.758741751E+00 --0.759216612E+00-0.759694313E+00-0.760175824E+00-0.760662486E+00-0.761154301E+00 --0.761651268E+00-0.762153386E+00-0.762660657E+00-0.763173079E+00-0.763690653E+00 --0.764213380E+00-0.764741258E+00-0.765274288E+00-0.765810926E+00-0.766337268E+00 --0.766863158E+00-0.767388598E+00-0.767913586E+00-0.768438123E+00-0.768962210E+00 --0.769485844E+00-0.770009028E+00-0.770531761E+00-0.771054042E+00-0.771575872E+00 --0.772097251E+00-0.772618179E+00-0.773131890E+00-0.773634354E+00-0.774130995E+00 --0.774621812E+00-0.775106807E+00-0.775585978E+00-0.776059325E+00-0.776526850E+00 --0.776988551E+00-0.777444429E+00-0.777894483E+00-0.778338715E+00-0.778777123E+00 --0.779202504E+00-0.779642992E+00-0.780123564E+00-0.780644223E+00-0.781204967E+00 --0.781805797E+00-0.782446712E+00-0.783127713E+00-0.783850248E+00-0.784615886E+00 --0.785420630E+00-0.786265638E+00-0.787150913E+00-0.788076453E+00-0.789042259E+00 --0.790048331E+00-0.791094668E+00-0.792181271E+00-0.793323190E+00-0.794499478E+00 --0.795701218E+00-0.796932786E+00-0.798201192E+00-0.799506433E+00-0.800848512E+00 --0.802227427E+00-0.803643178E+00-0.805095767E+00-0.806585192E+00-0.808110063E+00 --0.809672187E+00-0.811276472E+00-0.812922921E+00-0.814611533E+00-0.816342308E+00 --0.818115245E+00-0.819930346E+00-0.821787609E+00-0.823687036E+00-0.825628625E+00 --0.971623690E+00-0.970297084E+00-0.969042698E+00-0.967860531E+00-0.966750585E+00 --0.965712859E+00-0.964747354E+00-0.963854068E+00-0.963033002E+00-0.962284157E+00 --0.961607531E+00-0.961003126E+00-0.960470940E+00-0.960010975E+00-0.959623230E+00 --0.959307705E+00-0.959115925E+00-0.958982211E+00-0.958773158E+00-0.958349285E+00 --0.957874662E+00-0.957362092E+00-0.956811576E+00-0.956223113E+00-0.955596703E+00 --0.954932346E+00-0.954230042E+00-0.953483424E+00-0.952651862E+00-0.951737019E+00 --0.950738895E+00-0.949657489E+00-0.948489427E+00-0.947263853E+00-0.945981059E+00 --0.944641044E+00-0.943243810E+00-0.941789355E+00-0.940277681E+00-0.938708786E+00 --0.937082672E+00-0.935399337E+00-0.933647073E+00-0.931774519E+00-0.929795736E+00 --0.927710725E+00-0.925496371E+00-0.923205372E+00-0.920847574E+00-0.918422978E+00 --0.915931584E+00-0.913373391E+00-0.910748400E+00-0.908056611E+00-0.905270916E+00 --0.902205581E+00-0.899020512E+00-0.895719111E+00-0.892468131E+00-0.889395873E+00 --0.886527042E+00-0.883696472E+00-0.880904163E+00-0.878150114E+00-0.875434325E+00 --0.872756797E+00-0.870117529E+00-0.867516522E+00-0.864953776E+00-0.862429290E+00 --0.859943064E+00-0.857495099E+00-0.855085394E+00-0.852713950E+00-0.850393567E+00 --0.848132383E+00-0.845922356E+00-0.843762801E+00-0.841637446E+00-0.839546292E+00 --0.837489338E+00-0.835466586E+00-0.833478033E+00-0.831523681E+00-0.829603544E+00 --0.827719055E+00-0.825868712E+00-0.824050161E+00-0.822261774E+00-0.820503550E+00 --0.818775489E+00-0.817077592E+00-0.815408611E+00-0.813767607E+00-0.812154782E+00 --0.810570137E+00-0.809013670E+00-0.807484885E+00-0.805981158E+00-0.804502107E+00 --0.803047732E+00-0.801618033E+00-0.800214195E+00-0.798835864E+00-0.797480672E+00 --0.796148030E+00-0.794837937E+00-0.793550393E+00-0.792285399E+00-0.791042954E+00 --0.789823232E+00-0.788625258E+00-0.787447407E+00-0.786290299E+00-0.785153875E+00 --0.784038094E+00-0.782942478E+00-0.781866528E+00-0.780809803E+00-0.779772303E+00 --0.778754112E+00-0.777755208E+00-0.776774522E+00-0.775812027E+00-0.774867501E+00 --0.773940943E+00-0.773031488E+00-0.772140144E+00-0.771266186E+00-0.770408832E+00 --0.769568267E+00-0.768744674E+00-0.767938051E+00-0.767147142E+00-0.766371031E+00 --0.765610924E+00-0.764867251E+00-0.764139739E+00-0.763427906E+00-0.762730437E+00 --0.762047298E+00-0.761379026E+00-0.760726213E+00-0.760088205E+00-0.759465050E+00 --0.758855838E+00-0.758259922E+00-0.757677303E+00-0.757108105E+00-0.756553812E+00 --0.756014526E+00-0.755486846E+00-0.754972369E+00-0.754475390E+00-0.753991194E+00 --0.753519010E+00-0.753058838E+00-0.752610679E+00-0.752178531E+00-0.751765817E+00 --0.751365139E+00-0.750980265E+00-0.750613388E+00-0.750264509E+00-0.749933627E+00 --0.749620743E+00-0.749325857E+00-0.749048968E+00-0.748790076E+00-0.748549183E+00 --0.748324989E+00-0.748115436E+00-0.747923307E+00-0.747748368E+00-0.747591549E+00 --0.747451883E+00-0.747328863E+00-0.747222487E+00-0.747132756E+00-0.747059671E+00 --0.747003231E+00-0.746963435E+00-0.746940285E+00-0.746933780E+00-0.746943125E+00 --0.746967616E+00-0.747007915E+00-0.747063591E+00-0.747137056E+00-0.747225887E+00 --0.747329617E+00-0.747448734E+00-0.747583237E+00-0.747733126E+00-0.747898402E+00 --0.748079065E+00-0.748275114E+00-0.748486549E+00-0.748713371E+00-0.748955579E+00 --0.749210512E+00-0.749478114E+00-0.749763795E+00-0.750062266E+00-0.750371543E+00 --0.750694976E+00-0.751032567E+00-0.751384314E+00-0.751750219E+00-0.752130279E+00 --0.752524497E+00-0.752932872E+00-0.753355403E+00-0.753792091E+00-0.754229039E+00 --0.754671342E+00-0.755143568E+00-0.755620369E+00-0.756100017E+00-0.756582512E+00 --0.757067855E+00-0.757556046E+00-0.758047083E+00-0.758540889E+00-0.759035924E+00 --0.759536112E+00-0.760041451E+00-0.760551942E+00-0.761067586E+00-0.761588381E+00 --0.762114328E+00-0.762645427E+00-0.763181678E+00-0.763720717E+00-0.764255770E+00 --0.764790371E+00-0.765324521E+00-0.765858220E+00-0.766391468E+00-0.766924264E+00 --0.767456610E+00-0.767988504E+00-0.768519947E+00-0.769050939E+00-0.769581480E+00 --0.770111570E+00-0.770641208E+00-0.771170395E+00-0.771699131E+00-0.772227416E+00 --0.772734975E+00-0.773228147E+00-0.773715496E+00-0.774197022E+00-0.774672725E+00 --0.775142604E+00-0.775606660E+00-0.776064892E+00-0.776517301E+00-0.776963888E+00 --0.777400454E+00-0.777856750E+00-0.778353131E+00-0.778889598E+00-0.779466150E+00 --0.780082789E+00-0.780739512E+00-0.781447916E+00-0.782185847E+00-0.782950902E+00 --0.783752503E+00-0.784597397E+00-0.785482558E+00-0.786407984E+00-0.787373675E+00 --0.788379632E+00-0.789425855E+00-0.790513652E+00-0.791654978E+00-0.792824975E+00 --0.794023644E+00-0.795250986E+00-0.796506999E+00-0.797795184E+00-0.799120453E+00 --0.800482559E+00-0.801881501E+00-0.803317279E+00-0.804789895E+00-0.806299347E+00 --0.807839980E+00-0.809417272E+00-0.811036727E+00-0.812698345E+00-0.814402126E+00 --0.816148070E+00-0.817936177E+00-0.819766447E+00-0.821638879E+00-0.823554358E+00 --0.966637019E+00-0.965229068E+00-0.963890122E+00-0.962620180E+00-0.961419242E+00 --0.960287309E+00-0.959224380E+00-0.958230455E+00-0.957316753E+00-0.956476132E+00 --0.955707731E+00-0.955011550E+00-0.954387590E+00-0.953835849E+00-0.953356329E+00 --0.952949028E+00-0.952667262E+00-0.952286904E+00-0.951797513E+00-0.951270174E+00 --0.950704889E+00-0.950101658E+00-0.949460479E+00-0.948781354E+00-0.948064282E+00 --0.947309263E+00-0.946516297E+00-0.945685385E+00-0.944816526E+00-0.943888018E+00 --0.942860053E+00-0.941757528E+00-0.940597783E+00-0.939380817E+00-0.938106632E+00 --0.936775227E+00-0.935386601E+00-0.933940756E+00-0.932437690E+00-0.930877405E+00 --0.929259899E+00-0.927585174E+00-0.925853228E+00-0.924038089E+00-0.922076149E+00 --0.920018684E+00-0.917894422E+00-0.915703361E+00-0.913445502E+00-0.911120844E+00 --0.908729388E+00-0.906271134E+00-0.903746081E+00-0.901154230E+00-0.898495580E+00 --0.895770133E+00-0.892873818E+00-0.889687868E+00-0.886836188E+00-0.884022768E+00 --0.881247608E+00-0.878510710E+00-0.875812071E+00-0.873151694E+00-0.870529576E+00 --0.867945719E+00-0.865400123E+00-0.862892787E+00-0.860423712E+00-0.857992897E+00 --0.855600342E+00-0.853246048E+00-0.850930015E+00-0.848652242E+00-0.846412730E+00 --0.844209370E+00-0.842062781E+00-0.839953809E+00-0.837879038E+00-0.835840238E+00 --0.833836484E+00-0.831866517E+00-0.829930338E+00-0.828027947E+00-0.826159343E+00 --0.824321947E+00-0.822512831E+00-0.820734035E+00-0.818984669E+00-0.817264734E+00 --0.815574230E+00-0.813913157E+00-0.812280713E+00-0.810673514E+00-0.809091676E+00 --0.807537554E+00-0.806011613E+00-0.804511316E+00-0.803035269E+00-0.801583899E+00 --0.800156910E+00-0.798753601E+00-0.797373997E+00-0.796020712E+00-0.794688496E+00 --0.793377855E+00-0.792089629E+00-0.790823828E+00-0.789580453E+00-0.788359503E+00 --0.787160979E+00-0.785981750E+00-0.784821975E+00-0.783683034E+00-0.782564894E+00 --0.781467177E+00-0.780388098E+00-0.779327598E+00-0.778286370E+00-0.777264368E+00 --0.776261590E+00-0.775276545E+00-0.774308906E+00-0.773359793E+00-0.772428359E+00 --0.771514605E+00-0.770618067E+00-0.769737519E+00-0.768873803E+00-0.768027057E+00 --0.767197283E+00-0.766384479E+00-0.765587873E+00-0.764806211E+00-0.764039476E+00 --0.763287668E+00-0.762550989E+00-0.761830589E+00-0.761125048E+00-0.760433838E+00 --0.759756956E+00-0.759094405E+00-0.758446183E+00-0.757812364E+00-0.757192863E+00 --0.756586904E+00-0.755993869E+00-0.755413757E+00-0.754846623E+00-0.754293311E+00 --0.753753675E+00-0.753226127E+00-0.752712974E+00-0.752211832E+00-0.751722704E+00 --0.751245587E+00-0.750780483E+00-0.750327392E+00-0.749888436E+00-0.749465855E+00 --0.749058879E+00-0.748669901E+00-0.748298920E+00-0.747945937E+00-0.747610952E+00 --0.747293964E+00-0.746994974E+00-0.746713982E+00-0.746450987E+00-0.746205990E+00 --0.745978990E+00-0.745769988E+00-0.745576317E+00-0.745400822E+00-0.745243475E+00 --0.745102773E+00-0.744978717E+00-0.744871305E+00-0.744780539E+00-0.744706418E+00 --0.744648942E+00-0.744608111E+00-0.744583925E+00-0.744576385E+00-0.744585489E+00 --0.744611239E+00-0.744652373E+00-0.744708642E+00-0.744782764E+00-0.744872295E+00 --0.744977211E+00-0.745097515E+00-0.745233204E+00-0.745384281E+00-0.745550743E+00 --0.745732592E+00-0.745929828E+00-0.746142449E+00-0.746370458E+00-0.746613853E+00 --0.746872634E+00-0.747144470E+00-0.747432589E+00-0.747734414E+00-0.748050397E+00 --0.748380536E+00-0.748724832E+00-0.749083284E+00-0.749455894E+00-0.749842660E+00 --0.750243583E+00-0.750658662E+00-0.751087899E+00-0.751531292E+00-0.751988842E+00 --0.752448457E+00-0.752932892E+00-0.753420174E+00-0.753910304E+00-0.754403281E+00 --0.754899105E+00-0.755397777E+00-0.755899296E+00-0.756403662E+00-0.756910876E+00 --0.757420817E+00-0.757929377E+00-0.758443089E+00-0.758961953E+00-0.759485969E+00 --0.760015137E+00-0.760549457E+00-0.761088929E+00-0.761632652E+00-0.762176415E+00 --0.762719726E+00-0.763262587E+00-0.763804997E+00-0.764346955E+00-0.764888462E+00 --0.765429518E+00-0.765970123E+00-0.766510277E+00-0.767049979E+00-0.767589231E+00 --0.768128031E+00-0.768666380E+00-0.769204278E+00-0.769741724E+00-0.770278720E+00 --0.770815264E+00-0.771351357E+00-0.771886999E+00-0.772382495E+00-0.772866376E+00 --0.773344433E+00-0.773816667E+00-0.774283077E+00-0.774743665E+00-0.775198429E+00 --0.775646181E+00-0.776118285E+00-0.776630474E+00-0.777182750E+00-0.777775110E+00 --0.778433735E+00-0.779135038E+00-0.779863464E+00-0.780619013E+00-0.781401685E+00 --0.782211480E+00-0.783048397E+00-0.783931134E+00-0.784856446E+00-0.785822023E+00 --0.786827866E+00-0.787873974E+00-0.788966062E+00-0.790101096E+00-0.791264803E+00 --0.792457182E+00-0.793678232E+00-0.794927955E+00-0.796206349E+00-0.797513415E+00 --0.798849262E+00-0.800231394E+00-0.801650363E+00-0.803106169E+00-0.804598811E+00 --0.806128290E+00-0.807681869E+00-0.809274330E+00-0.810908955E+00-0.812585742E+00 --0.814304692E+00-0.816065806E+00-0.817870218E+00-0.819719072E+00-0.821597622E+00 --0.961369452E+00-0.959903127E+00-0.958505806E+00-0.957177490E+00-0.955918178E+00 --0.954727870E+00-0.953606566E+00-0.952554267E+00-0.951570972E+00-0.950656682E+00 --0.949811396E+00-0.949035114E+00-0.948327836E+00-0.947689563E+00-0.947106061E+00 --0.946361515E+00-0.945726949E+00-0.945188099E+00-0.944611302E+00-0.943996559E+00 --0.943343869E+00-0.942653232E+00-0.941924649E+00-0.941158118E+00-0.940353641E+00 --0.939511217E+00-0.938630847E+00-0.937712529E+00-0.936756265E+00-0.935670205E+00 --0.934512177E+00-0.933427954E+00-0.932286510E+00-0.931087846E+00-0.929831963E+00 --0.928518859E+00-0.927148535E+00-0.925720991E+00-0.924236227E+00-0.922694243E+00 --0.921095040E+00-0.919438616E+00-0.917724972E+00-0.915933097E+00-0.914028143E+00 --0.912056390E+00-0.910017839E+00-0.907912490E+00-0.905740343E+00-0.903501397E+00 --0.901195653E+00-0.898823110E+00-0.896383769E+00-0.893877630E+00-0.891304692E+00 --0.888664956E+00-0.886190138E+00-0.883781666E+00-0.881224705E+00-0.878527419E+00 --0.875840381E+00-0.873191600E+00-0.870581077E+00-0.868008810E+00-0.865474800E+00 --0.862979047E+00-0.860521551E+00-0.858102313E+00-0.855721331E+00-0.853378606E+00 --0.851074138E+00-0.848807928E+00-0.846579974E+00-0.844390277E+00-0.842238838E+00 --0.840126242E+00-0.838056079E+00-0.836011665E+00-0.833998931E+00-0.832017876E+00 --0.830068500E+00-0.828150763E+00-0.826265230E+00-0.824413485E+00-0.822595527E+00 --0.820805655E+00-0.819042716E+00-0.817308099E+00-0.815599694E+00-0.813918392E+00 --0.812266506E+00-0.810644010E+00-0.809047186E+00-0.807475449E+00-0.805928798E+00 --0.804407234E+00-0.802911566E+00-0.801440120E+00-0.799994106E+00-0.798571764E+00 --0.797173096E+00-0.795798101E+00-0.794446778E+00-0.793118833E+00-0.791812057E+00 --0.790526349E+00-0.789261710E+00-0.788018246E+00-0.786796965E+00-0.785598109E+00 --0.784420212E+00-0.783261454E+00-0.782122192E+00-0.781002421E+00-0.779902693E+00 --0.778822973E+00-0.777761675E+00-0.776718797E+00-0.775694340E+00-0.774687850E+00 --0.773700749E+00-0.772731169E+00-0.771778931E+00-0.770843844E+00-0.769925906E+00 --0.769025739E+00-0.768142362E+00-0.767274862E+00-0.766423053E+00-0.765587097E+00 --0.764768113E+00-0.763965945E+00-0.763178731E+00-0.762406445E+00-0.761649167E+00 --0.760907300E+00-0.760179985E+00-0.759467055E+00-0.758768936E+00-0.758084129E+00 --0.757413527E+00-0.756757229E+00-0.756115235E+00-0.755486776E+00-0.754871425E+00 --0.754269235E+00-0.753679969E+00-0.753103660E+00-0.752540399E+00-0.751990189E+00 --0.751449294E+00-0.750919858E+00-0.750404143E+00-0.749900437E+00-0.749408740E+00 --0.748929051E+00-0.748461371E+00-0.748005700E+00-0.747546460E+00-0.747106316E+00 --0.746696624E+00-0.746304951E+00-0.745931275E+00-0.745575597E+00-0.745237917E+00 --0.744918234E+00-0.744616549E+00-0.744332861E+00-0.744067171E+00-0.743819479E+00 --0.743589784E+00-0.743378087E+00-0.743182262E+00-0.743004589E+00-0.742846868E+00 --0.742706194E+00-0.742582166E+00-0.742474783E+00-0.742384044E+00-0.742309951E+00 --0.742252504E+00-0.742211701E+00-0.742187543E+00-0.742180031E+00-0.742189163E+00 --0.742214941E+00-0.742255614E+00-0.742312506E+00-0.742387120E+00-0.742478124E+00 --0.742585016E+00-0.742707294E+00-0.742844958E+00-0.742998009E+00-0.743166447E+00 --0.743350271E+00-0.743549481E+00-0.743764078E+00-0.743994061E+00-0.744239651E+00 --0.744501450E+00-0.744776964E+00-0.745066787E+00-0.745375849E+00-0.745699068E+00 --0.746036444E+00-0.746387976E+00-0.746753665E+00-0.747133511E+00-0.747527514E+00 --0.747935674E+00-0.748357990E+00-0.748794463E+00-0.749245093E+00-0.749713233E+00 --0.750205192E+00-0.750700934E+00-0.751199358E+00-0.751700466E+00-0.752204056E+00 --0.752710362E+00-0.753219515E+00-0.753731516E+00-0.754246363E+00-0.754764059E+00 --0.755284601E+00-0.755807991E+00-0.756334097E+00-0.756856182E+00-0.757383418E+00 --0.757915807E+00-0.758453348E+00-0.758996041E+00-0.759546729E+00-0.760099203E+00 --0.760651225E+00-0.761202796E+00-0.761753916E+00-0.762304585E+00-0.762854803E+00 --0.763404570E+00-0.763953885E+00-0.764502749E+00-0.765051162E+00-0.765599124E+00 --0.766146635E+00-0.766693694E+00-0.767240303E+00-0.767786460E+00-0.768332166E+00 --0.768877421E+00-0.769422225E+00-0.769966577E+00-0.770510479E+00-0.771053929E+00 --0.771594038E+00-0.772074450E+00-0.772549039E+00-0.773017804E+00-0.773480746E+00 --0.773939684E+00-0.774427596E+00-0.774955594E+00-0.775553072E+00-0.776217747E+00 --0.776909545E+00-0.777628466E+00-0.778374510E+00-0.779147676E+00-0.779947965E+00 --0.780775377E+00-0.781629912E+00-0.782511569E+00-0.783421839E+00-0.784387302E+00 --0.785393031E+00-0.786439025E+00-0.787532802E+00-0.788661546E+00-0.789818962E+00 --0.791005050E+00-0.792219810E+00-0.793463241E+00-0.794735345E+00-0.796036121E+00 --0.797365568E+00-0.798723688E+00-0.800110479E+00-0.801534014E+00-0.803009847E+00 --0.804522517E+00-0.806070263E+00-0.807635731E+00-0.809243362E+00-0.810893156E+00 --0.812585112E+00-0.814329716E+00-0.816105917E+00-0.817911813E+00-0.819747404E+00 --0.955888266E+00-0.954363566E+00-0.952907871E+00-0.951521180E+00-0.950203493E+00 --0.948954811E+00-0.947775133E+00-0.946664460E+00-0.945622790E+00-0.944650125E+00 --0.943746465E+00-0.942911808E+00-0.942003402E+00-0.941100048E+00-0.940247402E+00 --0.939445465E+00-0.938740581E+00-0.938116253E+00-0.937453978E+00-0.936753756E+00 --0.936015587E+00-0.935239472E+00-0.934425410E+00-0.933573401E+00-0.932683446E+00 --0.931755543E+00-0.930789694E+00-0.929785899E+00-0.928652008E+00-0.927487049E+00 --0.926318792E+00-0.925147238E+00-0.924019472E+00-0.922844844E+00-0.921612995E+00 --0.920323926E+00-0.918977637E+00-0.917574129E+00-0.916113400E+00-0.914595451E+00 --0.913020282E+00-0.911387894E+00-0.909698285E+00-0.907944987E+00-0.906117330E+00 --0.904222874E+00-0.902261620E+00-0.900233568E+00-0.898138717E+00-0.895977067E+00 --0.893748620E+00-0.891453374E+00-0.889091330E+00-0.886662487E+00-0.884166846E+00 --0.881938080E+00-0.879733250E+00-0.877513616E+00-0.875055300E+00-0.872611245E+00 --0.870189388E+00-0.867789727E+00-0.865270895E+00-0.862783433E+00-0.860334228E+00 --0.857923279E+00-0.855550588E+00-0.853216153E+00-0.850919976E+00-0.848662056E+00 --0.846442392E+00-0.844260986E+00-0.842117837E+00-0.840012944E+00-0.837946309E+00 --0.835917931E+00-0.833917290E+00-0.831938134E+00-0.829985400E+00-0.828064345E+00 --0.826174969E+00-0.824317273E+00-0.822491256E+00-0.820696918E+00-0.818925106E+00 --0.817177565E+00-0.815460607E+00-0.813770135E+00-0.812105875E+00-0.810467826E+00 --0.808855988E+00-0.807270362E+00-0.805710043E+00-0.804174398E+00-0.802663428E+00 --0.801177133E+00-0.799715512E+00-0.798278454E+00-0.796863987E+00-0.795471953E+00 --0.794102350E+00-0.792755350E+00-0.791432341E+00-0.790130381E+00-0.788849045E+00 --0.787588778E+00-0.786349602E+00-0.785131717E+00-0.783934956E+00-0.782757842E+00 --0.781600746E+00-0.780463292E+00-0.779345481E+00-0.778247311E+00-0.777166384E+00 --0.776105332E+00-0.775062740E+00-0.774038544E+00-0.773032744E+00-0.772043572E+00 --0.771073059E+00-0.770119454E+00-0.769182712E+00-0.768263394E+00-0.767360398E+00 --0.766474326E+00-0.765604132E+00-0.764749815E+00-0.763911375E+00-0.763088952E+00 --0.762281337E+00-0.761489084E+00-0.760712223E+00-0.759950754E+00-0.759204678E+00 --0.758473069E+00-0.757754777E+00-0.757051017E+00-0.756361286E+00-0.755684818E+00 --0.755021612E+00-0.754371668E+00-0.753735562E+00-0.753112816E+00-0.752502072E+00 --0.751904136E+00-0.751319251E+00-0.750747370E+00-0.750187173E+00-0.749638107E+00 --0.749100171E+00-0.748573365E+00-0.748056858E+00-0.747551972E+00-0.747059095E+00 --0.746578227E+00-0.746105525E+00-0.745637293E+00-0.745179185E+00-0.744739343E+00 --0.744318348E+00-0.743917970E+00-0.743542433E+00-0.743184893E+00-0.742845350E+00 --0.742523806E+00-0.742220259E+00-0.741934709E+00-0.741667157E+00-0.741417603E+00 --0.741185865E+00-0.740972215E+00-0.740776718E+00-0.740599375E+00-0.740440186E+00 --0.740299255E+00-0.740175884E+00-0.740069158E+00-0.739979078E+00-0.739905642E+00 --0.739848852E+00-0.739808707E+00-0.739785207E+00-0.739778352E+00-0.739787730E+00 --0.739812860E+00-0.739854921E+00-0.739913911E+00-0.739990080E+00-0.740082719E+00 --0.740190949E+00-0.740314769E+00-0.740454463E+00-0.740609955E+00-0.740780833E+00 --0.740967099E+00-0.741168624E+00-0.741386004E+00-0.741619470E+00-0.741869024E+00 --0.742134664E+00-0.742414677E+00-0.742708462E+00-0.743018538E+00-0.743346793E+00 --0.743691720E+00-0.744050803E+00-0.744424044E+00-0.744811441E+00-0.745212994E+00 --0.745628705E+00-0.746058572E+00-0.746503086E+00-0.746971032E+00-0.747455757E+00 --0.747956454E+00-0.748461346E+00-0.748968920E+00-0.749479177E+00-0.749992117E+00 --0.750507740E+00-0.751026046E+00-0.751547035E+00-0.752070708E+00-0.752597248E+00 --0.753128272E+00-0.753662143E+00-0.754198861E+00-0.754738427E+00-0.755280729E+00 --0.755816338E+00-0.756357100E+00-0.756903013E+00-0.757462950E+00-0.758024134E+00 --0.758584867E+00-0.759145148E+00-0.759704979E+00-0.760264358E+00-0.760823287E+00 --0.761381764E+00-0.761939790E+00-0.762497365E+00-0.763054488E+00-0.763611161E+00 --0.764167382E+00-0.764723152E+00-0.765278471E+00-0.765833339E+00-0.766387756E+00 --0.766941721E+00-0.767495235E+00-0.768048299E+00-0.768600911E+00-0.769153071E+00 --0.769704781E+00-0.770256039E+00-0.770806847E+00-0.771339720E+00-0.771810841E+00 --0.772280964E+00-0.772805928E+00-0.773433975E+00-0.774089145E+00-0.774771437E+00 --0.775480852E+00-0.776217390E+00-0.776981051E+00-0.777771835E+00-0.778589741E+00 --0.779434771E+00-0.780306923E+00-0.781206197E+00-0.782132595E+00-0.783086115E+00 --0.784075127E+00-0.785121007E+00-0.786213873E+00-0.787336326E+00-0.788487452E+00 --0.789667249E+00-0.790875718E+00-0.792112859E+00-0.793378672E+00-0.794673157E+00 --0.795996314E+00-0.797348143E+00-0.798728644E+00-0.800137816E+00-0.801575661E+00 --0.803042177E+00-0.804561010E+00-0.806120930E+00-0.807701567E+00-0.809337493E+00 --0.811011344E+00-0.812714891E+00-0.814448134E+00-0.816211071E+00-0.818003704E+00 --0.950193460E+00-0.948610386E+00-0.947096316E+00-0.945651251E+00-0.944275190E+00 --0.942968133E+00-0.941730080E+00-0.940561032E+00-0.939460989E+00-0.938369859E+00 --0.937256989E+00-0.936194827E+00-0.935183373E+00-0.934222628E+00-0.933312591E+00 --0.932453263E+00-0.931679133E+00-0.930969326E+00-0.930221573E+00-0.929435873E+00 --0.928612226E+00-0.927750632E+00-0.926851092E+00-0.925913604E+00-0.924938170E+00 --0.923924790E+00-0.922872521E+00-0.921710825E+00-0.920545832E+00-0.919377541E+00 --0.918205953E+00-0.917031068E+00-0.915852885E+00-0.914686658E+00-0.913478844E+00 --0.912213811E+00-0.910891557E+00-0.909512083E+00-0.908075389E+00-0.906581476E+00 --0.905030342E+00-0.903421988E+00-0.901756414E+00-0.900050624E+00-0.898300264E+00 --0.896483105E+00-0.894599147E+00-0.892648391E+00-0.890630837E+00-0.888546484E+00 --0.886395333E+00-0.884177384E+00-0.881892636E+00-0.879612112E+00-0.877516388E+00 --0.875405860E+00-0.873280527E+00-0.871140389E+00-0.868873127E+00-0.866519782E+00 --0.864188633E+00-0.861879682E+00-0.859592927E+00-0.857328370E+00-0.855079884E+00 --0.852753740E+00-0.850465853E+00-0.848216223E+00-0.846004850E+00-0.843831734E+00 --0.841696875E+00-0.839600273E+00-0.837541928E+00-0.835521840E+00-0.833540009E+00 --0.831596435E+00-0.829667432E+00-0.827756021E+00-0.825867753E+00-0.824006698E+00 --0.822177323E+00-0.820379627E+00-0.818610066E+00-0.816862979E+00-0.815140321E+00 --0.813442597E+00-0.811771525E+00-0.810126738E+00-0.808508341E+00-0.806915677E+00 --0.805345738E+00-0.803798591E+00-0.802278610E+00-0.800781961E+00-0.799307355E+00 --0.797856468E+00-0.796430255E+00-0.795026340E+00-0.793643886E+00-0.792283865E+00 --0.790946147E+00-0.789629357E+00-0.788333969E+00-0.787060458E+00-0.785806652E+00 --0.784572835E+00-0.783360070E+00-0.782168260E+00-0.780995922E+00-0.779842713E+00 --0.778708481E+00-0.777593263E+00-0.776497688E+00-0.775421080E+00-0.774361945E+00 --0.773320411E+00-0.772297288E+00-0.771292562E+00-0.770305895E+00-0.769335380E+00 --0.768381208E+00-0.767444439E+00-0.766524534E+00-0.765621336E+00-0.764733804E+00 --0.763861830E+00-0.763005908E+00-0.762165998E+00-0.761342100E+00-0.760533550E+00 --0.759739146E+00-0.758958701E+00-0.758193023E+00-0.757442737E+00-0.756707535E+00 --0.755985991E+00-0.755278036E+00-0.754583497E+00-0.753902155E+00-0.753234243E+00 --0.752579547E+00-0.751937820E+00-0.751309062E+00-0.750692955E+00-0.750087632E+00 --0.749495999E+00-0.748916639E+00-0.748348409E+00-0.747791310E+00-0.747245341E+00 --0.746710502E+00-0.746186794E+00-0.745672571E+00-0.745166506E+00-0.744672449E+00 --0.744186881E+00-0.743710286E+00-0.743243345E+00-0.742786410E+00-0.742346871E+00 --0.741926178E+00-0.741524331E+00-0.741141329E+00-0.740779112E+00-0.740437708E+00 --0.740114301E+00-0.739808892E+00-0.739521481E+00-0.739253012E+00-0.739003384E+00 --0.738771910E+00-0.738558589E+00-0.738363423E+00-0.738186410E+00-0.738027551E+00 --0.737886845E+00-0.737764294E+00-0.737658691E+00-0.737569268E+00-0.737496490E+00 --0.737440357E+00-0.737400869E+00-0.737378027E+00-0.737371685E+00-0.737382243E+00 --0.737409731E+00-0.737454148E+00-0.737515495E+00-0.737593771E+00-0.737688738E+00 --0.737799403E+00-0.737925658E+00-0.738067503E+00-0.738224938E+00-0.738396863E+00 --0.738585803E+00-0.738790937E+00-0.739012157E+00-0.739249465E+00-0.739502859E+00 --0.739772340E+00-0.740056887E+00-0.740356258E+00-0.740671920E+00-0.741003872E+00 --0.741352115E+00-0.741717909E+00-0.742098700E+00-0.742493648E+00-0.742902752E+00 --0.743326014E+00-0.743768354E+00-0.744228185E+00-0.744704795E+00-0.745198184E+00 --0.745707619E+00-0.746221660E+00-0.746738384E+00-0.747257791E+00-0.747779880E+00 --0.748304653E+00-0.748832109E+00-0.749362248E+00-0.749895069E+00-0.750430574E+00 --0.750968762E+00-0.751509632E+00-0.752053186E+00-0.752599422E+00-0.753148342E+00 --0.753702186E+00-0.754260712E+00-0.754810967E+00-0.755381313E+00-0.755951208E+00 --0.756520651E+00-0.757089644E+00-0.757658185E+00-0.758226275E+00-0.758793914E+00 --0.759361101E+00-0.759927838E+00-0.760494123E+00-0.761059957E+00-0.761625340E+00 --0.762190272E+00-0.762754753E+00-0.763318782E+00-0.763883474E+00-0.764448244E+00 --0.765012819E+00-0.765577198E+00-0.766141382E+00-0.766705371E+00-0.767269164E+00 --0.767832762E+00-0.768396165E+00-0.768959372E+00-0.769522384E+00-0.770091718E+00 --0.770753153E+00-0.771369832E+00-0.772013633E+00-0.772684558E+00-0.773382605E+00 --0.774107775E+00-0.774860067E+00-0.775639483E+00-0.776446021E+00-0.777279682E+00 --0.778140466E+00-0.779028373E+00-0.779943403E+00-0.780885555E+00-0.781854830E+00 --0.782851228E+00-0.783889225E+00-0.785029107E+00-0.786140295E+00-0.787280154E+00 --0.788448685E+00-0.789645889E+00-0.790871764E+00-0.792126311E+00-0.793409530E+00 --0.794721422E+00-0.796061985E+00-0.797431219E+00-0.798829126E+00-0.800255705E+00 --0.801710956E+00-0.803194878E+00-0.804707473E+00-0.806268006E+00-0.807870687E+00 --0.809503063E+00-0.811165134E+00-0.812856901E+00-0.814578363E+00-0.816329520E+00 --0.944285035E+00-0.942643586E+00-0.941071142E+00-0.939567702E+00-0.938133266E+00 --0.936767835E+00-0.935460886E+00-0.934138499E+00-0.932866821E+00-0.931645851E+00 --0.930475590E+00-0.929356037E+00-0.928287192E+00-0.927269056E+00-0.926301629E+00 --0.925384909E+00-0.924542605E+00-0.923747320E+00-0.922914088E+00-0.922042910E+00 --0.921133784E+00-0.920186712E+00-0.919201693E+00-0.918178728E+00-0.917117815E+00 --0.916008386E+00-0.914846656E+00-0.913681629E+00-0.912513305E+00-0.911341683E+00 --0.910166764E+00-0.908988547E+00-0.907807032E+00-0.906622221E+00-0.905429510E+00 --0.904188512E+00-0.902890293E+00-0.901534854E+00-0.900122196E+00-0.898652317E+00 --0.897125218E+00-0.895540900E+00-0.893899361E+00-0.892250008E+00-0.890576944E+00 --0.888837082E+00-0.887030421E+00-0.885156961E+00-0.883216704E+00-0.881209648E+00 --0.879135794E+00-0.876995141E+00-0.874926487E+00-0.872925065E+00-0.870908837E+00 --0.868877805E+00-0.866831968E+00-0.864771326E+00-0.862678188E+00-0.860415552E+00 --0.858175112E+00-0.855956869E+00-0.853760824E+00-0.851586975E+00-0.849435324E+00 --0.847305870E+00-0.845198613E+00-0.843102520E+00-0.840975952E+00-0.838887640E+00 --0.836837586E+00-0.834825788E+00-0.832852247E+00-0.830916964E+00-0.829019937E+00 --0.827161168E+00-0.825310508E+00-0.823463960E+00-0.821642435E+00-0.819844937E+00 --0.818075345E+00-0.816332205E+00-0.814614104E+00-0.812920479E+00-0.811251278E+00 --0.809606630E+00-0.807984151E+00-0.806387111E+00-0.804815304E+00-0.803266289E+00 --0.801740066E+00-0.800236636E+00-0.798756149E+00-0.797298206E+00-0.795862406E+00 --0.794448749E+00-0.793057233E+00-0.791687404E+00-0.790338491E+00-0.789010944E+00 --0.787704762E+00-0.786419947E+00-0.785156032E+00-0.783911575E+00-0.782686823E+00 --0.781481484E+00-0.780295067E+00-0.779129659E+00-0.777982550E+00-0.776853961E+00 --0.775744615E+00-0.774653359E+00-0.773580599E+00-0.772526168E+00-0.771489167E+00 --0.770469595E+00-0.769466486E+00-0.768481274E+00-0.767513890E+00-0.766562456E+00 --0.765626971E+00-0.764707518E+00-0.763805407E+00-0.762918769E+00-0.762047603E+00 --0.761191908E+00-0.760351686E+00-0.759526335E+00-0.758716847E+00-0.757921789E+00 --0.757140853E+00-0.756374039E+00-0.755621344E+00-0.754882875E+00-0.754158407E+00 --0.753447939E+00-0.752750943E+00-0.752066210E+00-0.751395540E+00-0.750737076E+00 --0.750090825E+00-0.749457263E+00-0.748836671E+00-0.748227992E+00-0.747631161E+00 --0.747046062E+00-0.746471917E+00-0.745908192E+00-0.745354889E+00-0.744812029E+00 --0.744280287E+00-0.743759677E+00-0.743250196E+00-0.742744421E+00-0.742249809E+00 --0.741764851E+00-0.741289548E+00-0.740823898E+00-0.740368136E+00-0.739928900E+00 --0.739508509E+00-0.739106964E+00-0.738724265E+00-0.738360411E+00-0.738015403E+00 --0.737689721E+00-0.737383702E+00-0.737098097E+00-0.736830645E+00-0.736581347E+00 --0.736350203E+00-0.736137213E+00-0.735942377E+00-0.735765694E+00-0.735607165E+00 --0.735466790E+00-0.735344569E+00-0.735240501E+00-0.735154587E+00-0.735082493E+00 --0.735027018E+00-0.734988722E+00-0.734967777E+00-0.734963762E+00-0.734976677E+00 --0.735006521E+00-0.735053295E+00-0.735116999E+00-0.735197633E+00-0.735295196E+00 --0.735408481E+00-0.735537171E+00-0.735681451E+00-0.735841276E+00-0.736016827E+00 --0.736208953E+00-0.736417712E+00-0.736642773E+00-0.736883921E+00-0.737141157E+00 --0.737414479E+00-0.737703593E+00-0.738008550E+00-0.738329798E+00-0.738667337E+00 --0.739021166E+00-0.739391285E+00-0.739777696E+00-0.740180133E+00-0.740598038E+00 --0.741032976E+00-0.741484692E+00-0.741953188E+00-0.742438461E+00-0.742940513E+00 --0.743458686E+00-0.743981877E+00-0.744507750E+00-0.745036307E+00-0.745567546E+00 --0.746101468E+00-0.746638074E+00-0.747177362E+00-0.747719333E+00-0.748263988E+00 --0.748811325E+00-0.749361345E+00-0.749914049E+00-0.750469435E+00-0.751027504E+00 --0.751588007E+00-0.752149048E+00-0.752712634E+00-0.753287678E+00-0.753868491E+00 --0.754449109E+00-0.755029532E+00-0.755609760E+00-0.756189792E+00-0.756769628E+00 --0.757349270E+00-0.757928716E+00-0.758507966E+00-0.759087022E+00-0.759665882E+00 --0.760244546E+00-0.760823016E+00-0.761401290E+00-0.761979368E+00-0.762557252E+00 --0.763134939E+00-0.763712432E+00-0.764289729E+00-0.764866831E+00-0.765443737E+00 --0.766020449E+00-0.766596964E+00-0.767180346E+00-0.767817364E+00-0.768466842E+00 --0.769209496E+00-0.769874905E+00-0.770530967E+00-0.771214153E+00-0.771924461E+00 --0.772661891E+00-0.773426445E+00-0.774218121E+00-0.775036921E+00-0.775882843E+00 --0.776755887E+00-0.777656055E+00-0.778583345E+00-0.779537759E+00-0.780519294E+00 --0.781527953E+00-0.782593547E+00-0.783714510E+00-0.784905342E+00-0.786084165E+00 --0.787232098E+00-0.788408704E+00-0.789613981E+00-0.790847930E+00-0.792110551E+00 --0.793401844E+00-0.794721809E+00-0.796070446E+00-0.797447755E+00-0.798853736E+00 --0.800288389E+00-0.801751713E+00-0.803243710E+00-0.804764378E+00-0.806327197E+00 --0.807920879E+00-0.809544256E+00-0.811197328E+00-0.812880096E+00-0.814592559E+00 --0.938162990E+00-0.936463167E+00-0.934832348E+00-0.933270533E+00-0.931744580E+00 --0.930263385E+00-0.928832899E+00-0.927453122E+00-0.926124053E+00-0.924845692E+00 --0.923618040E+00-0.922441096E+00-0.921314860E+00-0.920239333E+00-0.919214514E+00 --0.918240404E+00-0.917330998E+00-0.916450234E+00-0.915531524E+00-0.914574867E+00 --0.913580263E+00-0.912547713E+00-0.911477215E+00-0.910368771E+00-0.909221265E+00 --0.908059502E+00-0.906894441E+00-0.905726083E+00-0.904554427E+00-0.903379474E+00 --0.902201223E+00-0.901019675E+00-0.899834830E+00-0.898646687E+00-0.897455246E+00 --0.896248030E+00-0.894973846E+00-0.893642442E+00-0.892253819E+00-0.890807975E+00 --0.889304911E+00-0.887744628E+00-0.886127124E+00-0.884543138E+00-0.882947371E+00 --0.881284805E+00-0.879555441E+00-0.877759278E+00-0.875896317E+00-0.873966558E+00 --0.871970000E+00-0.870071231E+00-0.868164109E+00-0.866242182E+00-0.864305451E+00 --0.862353914E+00-0.860387573E+00-0.858406427E+00-0.856410477E+00-0.854298555E+00 --0.852148824E+00-0.850021290E+00-0.847915954E+00-0.845832814E+00-0.843771872E+00 --0.841733126E+00-0.839716578E+00-0.837722227E+00-0.835750073E+00-0.833800116E+00 --0.831864525E+00-0.829937532E+00-0.828048796E+00-0.826198316E+00-0.824386094E+00 --0.822612129E+00-0.820846520E+00-0.819064834E+00-0.817308172E+00-0.815579959E+00 --0.813871061E+00-0.812184501E+00-0.810521906E+00-0.808882575E+00-0.807267303E+00 --0.805674801E+00-0.804105145E+00-0.802556917E+00-0.801030316E+00-0.799525519E+00 --0.798043014E+00-0.796583300E+00-0.795146222E+00-0.793726986E+00-0.792329998E+00 --0.790954769E+00-0.789600137E+00-0.788266590E+00-0.786953611E+00-0.785660042E+00 --0.784386093E+00-0.783133252E+00-0.781898958E+00-0.780685154E+00-0.779490343E+00 --0.778314135E+00-0.777156531E+00-0.776017718E+00-0.774897240E+00-0.773795062E+00 --0.772710514E+00-0.771643423E+00-0.770594682E+00-0.769563083E+00-0.768548254E+00 --0.767550612E+00-0.766570334E+00-0.765605457E+00-0.764657875E+00-0.763726211E+00 --0.762810323E+00-0.761910210E+00-0.761025755E+00-0.760156584E+00-0.759302673E+00 --0.758464021E+00-0.757640628E+00-0.756830636E+00-0.756036732E+00-0.755255781E+00 --0.754488775E+00-0.753735895E+00-0.752997138E+00-0.752271669E+00-0.751559475E+00 --0.750861117E+00-0.750175351E+00-0.749501942E+00-0.748841512E+00-0.748193312E+00 --0.747557316E+00-0.746933526E+00-0.746321089E+00-0.745720057E+00-0.745131150E+00 --0.744552986E+00-0.743985147E+00-0.743427445E+00-0.742880136E+00-0.742343248E+00 --0.741816781E+00-0.741300735E+00-0.740793287E+00-0.740293890E+00-0.739800989E+00 --0.739317322E+00-0.738843310E+00-0.738378951E+00-0.737924363E+00-0.737485429E+00 --0.737065341E+00-0.736664098E+00-0.736281702E+00-0.735918150E+00-0.735573088E+00 --0.735245620E+00-0.734939950E+00-0.734656294E+00-0.734391252E+00-0.734144209E+00 --0.733915164E+00-0.733704118E+00-0.733511070E+00-0.733336021E+00-0.733178970E+00 --0.733039918E+00-0.732918865E+00-0.732815810E+00-0.732730754E+00-0.732663696E+00 --0.732610983E+00-0.732576005E+00-0.732557417E+00-0.732555759E+00-0.732571031E+00 --0.732603232E+00-0.732652363E+00-0.732718424E+00-0.732801414E+00-0.732901334E+00 --0.733018183E+00-0.733149308E+00-0.733296024E+00-0.733458958E+00-0.733638808E+00 --0.733835232E+00-0.734048230E+00-0.734277802E+00-0.734522841E+00-0.734783917E+00 --0.735061080E+00-0.735354796E+00-0.735665340E+00-0.735992174E+00-0.736335298E+00 --0.736694713E+00-0.737070419E+00-0.737463495E+00-0.737873169E+00-0.738296952E+00 --0.738740553E+00-0.739200933E+00-0.739678092E+00-0.740172029E+00-0.740682745E+00 --0.741209656E+00-0.741741996E+00-0.742277019E+00-0.742814725E+00-0.743355114E+00 --0.743898186E+00-0.744443941E+00-0.744992379E+00-0.745543500E+00-0.746097304E+00 --0.746653791E+00-0.747212961E+00-0.747773399E+00-0.748335316E+00-0.748899779E+00 --0.749466787E+00-0.750036342E+00-0.750608443E+00-0.751183089E+00-0.751771836E+00 --0.752365567E+00-0.752959103E+00-0.753552443E+00-0.754145588E+00-0.754738538E+00 --0.755331293E+00-0.755923852E+00-0.756516216E+00-0.757108384E+00-0.757700357E+00 --0.758292135E+00-0.758883717E+00-0.759475104E+00-0.760066296E+00-0.760657292E+00 --0.761248093E+00-0.761838699E+00-0.762429109E+00-0.763019324E+00-0.763609344E+00 --0.764206404E+00-0.764848864E+00-0.765494980E+00-0.766144753E+00-0.766851737E+00 --0.767601472E+00-0.768336731E+00-0.769005054E+00-0.769700500E+00-0.770423069E+00 --0.771172761E+00-0.771949575E+00-0.772753513E+00-0.773584573E+00-0.774442756E+00 --0.775328061E+00-0.776240490E+00-0.777180041E+00-0.778146715E+00-0.779140512E+00 --0.780171143E+00-0.781242657E+00-0.782326542E+00-0.783490713E+00-0.784684839E+00 --0.785896336E+00-0.787105461E+00-0.788290140E+00-0.789503491E+00-0.790745514E+00 --0.792016209E+00-0.793315576E+00-0.794643615E+00-0.796000326E+00-0.797385709E+00 --0.798799763E+00-0.800242490E+00-0.801713889E+00-0.803213959E+00-0.804741993E+00 --0.806296981E+00-0.807881664E+00-0.809496043E+00-0.811140116E+00-0.812813885E+00 --0.931827325E+00-0.930075230E+00-0.928384519E+00-0.926744517E+00-0.925155224E+00 --0.923616638E+00-0.922128761E+00-0.920691593E+00-0.919305133E+00-0.917969381E+00 --0.916684338E+00-0.915450003E+00-0.914266376E+00-0.913133458E+00-0.912051248E+00 --0.911019747E+00-0.910044310E+00-0.909078068E+00-0.908073880E+00-0.907031744E+00 --0.905951662E+00-0.904833633E+00-0.903677657E+00-0.902511159E+00-0.901349362E+00 --0.900184267E+00-0.899015875E+00-0.897844186E+00-0.896669199E+00-0.895490914E+00 --0.894309332E+00-0.893124453E+00-0.891936276E+00-0.890744802E+00-0.889550030E+00 --0.888351961E+00-0.887142216E+00-0.885834847E+00-0.884470259E+00-0.883048450E+00 --0.881569421E+00-0.880033173E+00-0.878439704E+00-0.876930015E+00-0.875411544E+00 --0.873826275E+00-0.872174207E+00-0.870455341E+00-0.868669677E+00-0.866844358E+00 --0.865046342E+00-0.863233521E+00-0.861405895E+00-0.859563464E+00-0.857706229E+00 --0.855834188E+00-0.853947343E+00-0.852045693E+00-0.850129239E+00-0.848168792E+00 --0.846109770E+00-0.844072945E+00-0.842058317E+00-0.840065886E+00-0.838095653E+00 --0.836147616E+00-0.834221777E+00-0.832318134E+00-0.830436689E+00-0.828577441E+00 --0.826740390E+00-0.824925536E+00-0.823132880E+00-0.821365897E+00-0.819638480E+00 --0.817949319E+00-0.816275467E+00-0.814558644E+00-0.812878522E+00-0.811218617E+00 --0.809575176E+00-0.807948198E+00-0.806337928E+00-0.804754143E+00-0.803193890E+00 --0.801655355E+00-0.800136635E+00-0.798637594E+00-0.797157607E+00-0.795698352E+00 --0.794260962E+00-0.792845439E+00-0.791450711E+00-0.790074452E+00-0.788717031E+00 --0.787379920E+00-0.786063408E+00-0.784766905E+00-0.783489093E+00-0.782230691E+00 --0.780991228E+00-0.779769937E+00-0.778568775E+00-0.777386040E+00-0.776221591E+00 --0.775075429E+00-0.773946625E+00-0.772836315E+00-0.771743103E+00-0.770667072E+00 --0.769608501E+00-0.768567390E+00-0.767543400E+00-0.766535665E+00-0.765544701E+00 --0.764570316E+00-0.763611289E+00-0.762669190E+00-0.761742767E+00-0.760831351E+00 --0.759934944E+00-0.759054213E+00-0.758189282E+00-0.757338672E+00-0.756502621E+00 --0.755681485E+00-0.754874495E+00-0.754081645E+00-0.753303187E+00-0.752538291E+00 --0.751786583E+00-0.751048062E+00-0.750322938E+00-0.749612034E+00-0.748912679E+00 --0.748226763E+00-0.747553204E+00-0.746892002E+00-0.746242359E+00-0.745604423E+00 --0.744978966E+00-0.744365145E+00-0.743762331E+00-0.743170402E+00-0.742589797E+00 --0.742019621E+00-0.741459213E+00-0.740909013E+00-0.740369019E+00-0.739838125E+00 --0.739318833E+00-0.738808008E+00-0.738305297E+00-0.737810700E+00-0.737324217E+00 --0.736844294E+00-0.736371573E+00-0.735908505E+00-0.735455090E+00-0.735016459E+00 --0.734596673E+00-0.734195733E+00-0.733813639E+00-0.733450199E+00-0.733107324E+00 --0.732785103E+00-0.732484089E+00-0.732201687E+00-0.731936894E+00-0.731692945E+00 --0.731466994E+00-0.731259042E+00-0.731069088E+00-0.730897133E+00-0.730743177E+00 --0.730607219E+00-0.730489259E+00-0.730389299E+00-0.730307337E+00-0.730241042E+00 --0.730190033E+00-0.730157564E+00-0.730143305E+00-0.730145555E+00-0.730164314E+00 --0.730199582E+00-0.730251352E+00-0.730319769E+00-0.730405116E+00-0.730507393E+00 --0.730626600E+00-0.730762070E+00-0.730911220E+00-0.731078656E+00-0.731262805E+00 --0.731463528E+00-0.731680825E+00-0.731914695E+00-0.732165139E+00-0.732431140E+00 --0.732712144E+00-0.733010497E+00-0.733326626E+00-0.733659046E+00-0.734007698E+00 --0.734372896E+00-0.734755110E+00-0.735154339E+00-0.735570584E+00-0.736001271E+00 --0.736449764E+00-0.736917077E+00-0.737402899E+00-0.737905500E+00-0.738424879E+00 --0.738960528E+00-0.739502018E+00-0.740046191E+00-0.740593046E+00-0.741142585E+00 --0.741694806E+00-0.742249711E+00-0.742807299E+00-0.743367519E+00-0.743927766E+00 --0.744490559E+00-0.745055899E+00-0.745623784E+00-0.746194215E+00-0.746767192E+00 --0.747342714E+00-0.747920783E+00-0.748501398E+00-0.749084559E+00-0.749670265E+00 --0.750273058E+00-0.750879707E+00-0.751486160E+00-0.752092418E+00-0.752698481E+00 --0.753304349E+00-0.753910021E+00-0.754515498E+00-0.755120779E+00-0.755725866E+00 --0.756330756E+00-0.756935452E+00-0.757539952E+00-0.758144257E+00-0.758748366E+00 --0.759352280E+00-0.759955999E+00-0.760559522E+00-0.761169894E+00-0.761817795E+00 --0.762469352E+00-0.763124567E+00-0.763783439E+00-0.764455967E+00-0.765202902E+00 --0.765959717E+00-0.766726412E+00-0.767435894E+00-0.768143601E+00-0.768878431E+00 --0.769640383E+00-0.770429459E+00-0.771245657E+00-0.772088978E+00-0.772959422E+00 --0.773856988E+00-0.774781677E+00-0.775733489E+00-0.776712424E+00-0.777718482E+00 --0.778768418E+00-0.779836554E+00-0.780917063E+00-0.782031044E+00-0.783211093E+00 --0.784408513E+00-0.785623304E+00-0.786855466E+00-0.788092994E+00-0.789314419E+00 --0.790564516E+00-0.791843285E+00-0.793150726E+00-0.794486839E+00-0.795851624E+00 --0.797245080E+00-0.798667209E+00-0.800118009E+00-0.801597482E+00-0.803105626E+00 --0.804631370E+00-0.806177359E+00-0.807753043E+00-0.809358423E+00-0.810993497E+00 --0.925380705E+00-0.923581895E+00-0.921833794E+00-0.920136401E+00-0.918489716E+00 --0.916893740E+00-0.915348472E+00-0.913853912E+00-0.912410061E+00-0.911016918E+00 --0.909674484E+00-0.908382758E+00-0.907141741E+00-0.905951432E+00-0.904811831E+00 --0.903722938E+00-0.902682543E+00-0.901630823E+00-0.900541156E+00-0.899413542E+00 --0.898247981E+00-0.897044474E+00-0.895878068E+00-0.894716237E+00-0.893551108E+00 --0.892382682E+00-0.891210959E+00-0.890035938E+00-0.888857620E+00-0.887676004E+00 --0.886491091E+00-0.885302880E+00-0.884111372E+00-0.882916566E+00-0.881718463E+00 --0.880517062E+00-0.879312364E+00-0.878104369E+00-0.876771515E+00-0.875373742E+00 --0.873918748E+00-0.872406535E+00-0.870837101E+00-0.869410638E+00-0.867969464E+00 --0.866461491E+00-0.864886720E+00-0.863245151E+00-0.861555536E+00-0.859851820E+00 --0.858133300E+00-0.856399975E+00-0.854651845E+00-0.852888910E+00-0.851111171E+00 --0.849318627E+00-0.847511278E+00-0.845689124E+00-0.843852165E+00-0.842000402E+00 --0.840057949E+00-0.838111833E+00-0.836187914E+00-0.834286192E+00-0.832406667E+00 --0.830549339E+00-0.828714209E+00-0.826901275E+00-0.825110539E+00-0.823342000E+00 --0.821595658E+00-0.819871513E+00-0.818169565E+00-0.816489814E+00-0.814832260E+00 --0.813196904E+00-0.811597350E+00-0.809967427E+00-0.808356516E+00-0.806762068E+00 --0.805184084E+00-0.803622563E+00-0.802077505E+00-0.800548911E+00-0.799038849E+00 --0.797553340E+00-0.796084372E+00-0.794634758E+00-0.793204090E+00-0.791792849E+00 --0.790401087E+00-0.789029424E+00-0.787676396E+00-0.786342004E+00-0.785026246E+00 --0.783729124E+00-0.782450689E+00-0.781190725E+00-0.779949407E+00-0.778726473E+00 --0.777521924E+00-0.776335759E+00-0.775166757E+00-0.774016035E+00-0.772883542E+00 --0.771767791E+00-0.770668324E+00-0.769587147E+00-0.768522715E+00-0.767474451E+00 --0.766442354E+00-0.765426598E+00-0.764428926E+00-0.763445515E+00-0.762479137E+00 --0.761528265E+00-0.760592886E+00-0.759672878E+00-0.758767855E+00-0.757877840E+00 --0.757002832E+00-0.756142643E+00-0.755297054E+00-0.754465367E+00-0.753648395E+00 --0.752845495E+00-0.752055954E+00-0.751280443E+00-0.750518788E+00-0.749769619E+00 --0.749033637E+00-0.748310715E+00-0.747600656E+00-0.746903507E+00-0.746218948E+00 --0.745546226E+00-0.744885342E+00-0.744236295E+00-0.743598885E+00-0.742973037E+00 --0.742358311E+00-0.741754706E+00-0.741162222E+00-0.740580541E+00-0.740009175E+00 --0.739447699E+00-0.738895802E+00-0.738353496E+00-0.737820862E+00-0.737300079E+00 --0.736788004E+00-0.736282860E+00-0.735784977E+00-0.735295181E+00-0.734813498E+00 --0.734339929E+00-0.733874336E+00-0.733412560E+00-0.732960318E+00-0.732521989E+00 --0.732102506E+00-0.731702794E+00-0.731323858E+00-0.730965576E+00-0.730627947E+00 --0.730310972E+00-0.730014819E+00-0.729737777E+00-0.729478082E+00-0.729235733E+00 --0.729011428E+00-0.728806569E+00-0.728619710E+00-0.728450849E+00-0.728299986E+00 --0.728167123E+00-0.728052257E+00-0.727955391E+00-0.727876128E+00-0.727812509E+00 --0.727765888E+00-0.727736262E+00-0.727724615E+00-0.727730689E+00-0.727753273E+00 --0.727792367E+00-0.727847969E+00-0.727920081E+00-0.728008702E+00-0.728113833E+00 --0.728235472E+00-0.728373621E+00-0.728528495E+00-0.728700369E+00-0.728888817E+00 --0.729093839E+00-0.729315435E+00-0.729553604E+00-0.729808348E+00-0.730079665E+00 --0.730367555E+00-0.730670694E+00-0.730991460E+00-0.731328601E+00-0.731682757E+00 --0.732053930E+00-0.732442118E+00-0.732847323E+00-0.733269543E+00-0.733707615E+00 --0.734163095E+00-0.734636689E+00-0.735128395E+00-0.735638873E+00-0.736166915E+00 --0.736711303E+00-0.737261942E+00-0.737815264E+00-0.738371270E+00-0.738929958E+00 --0.739489985E+00-0.740051109E+00-0.740614779E+00-0.741180994E+00-0.741749755E+00 --0.742321063E+00-0.742894916E+00-0.743471315E+00-0.744050260E+00-0.744631751E+00 --0.745215789E+00-0.745802372E+00-0.746391500E+00-0.746983175E+00-0.747577396E+00 --0.748174163E+00-0.748791343E+00-0.749410910E+00-0.750030281E+00-0.750649457E+00 --0.751268438E+00-0.751887223E+00-0.752505813E+00-0.753124208E+00-0.753742407E+00 --0.754360411E+00-0.754978219E+00-0.755595833E+00-0.756213250E+00-0.756830473E+00 --0.757447500E+00-0.758070814E+00-0.758724157E+00-0.759381156E+00-0.760041812E+00 --0.760706125E+00-0.761374095E+00-0.762045723E+00-0.762766321E+00-0.763520336E+00 --0.764284232E+00-0.765058007E+00-0.765823487E+00-0.766543455E+00-0.767290545E+00 --0.768064759E+00-0.768866095E+00-0.769694554E+00-0.770550136E+00-0.771432840E+00 --0.772342668E+00-0.773279618E+00-0.774243691E+00-0.775234887E+00-0.776258091E+00 --0.777310480E+00-0.778375240E+00-0.779452372E+00-0.780541876E+00-0.781692308E+00 --0.782875650E+00-0.784076364E+00-0.785294449E+00-0.786529904E+00-0.787782731E+00 --0.789046765E+00-0.790304936E+00-0.791591779E+00-0.792907294E+00-0.794251480E+00 --0.795624339E+00-0.797025870E+00-0.798456072E+00-0.799914947E+00-0.801402493E+00 --0.802918711E+00-0.804431340E+00-0.805968330E+00-0.807535015E+00-0.809131396E+00 --0.918868609E+00-0.917012409E+00-0.915206916E+00-0.913452132E+00-0.911748057E+00 --0.910094689E+00-0.908492030E+00-0.906940080E+00-0.905438838E+00-0.903988304E+00 --0.902588479E+00-0.901239362E+00-0.899940953E+00-0.898693253E+00-0.897496261E+00 --0.896349978E+00-0.895245696E+00-0.894108497E+00-0.892933352E+00-0.891720260E+00 --0.890480558E+00-0.889321990E+00-0.888160126E+00-0.886994963E+00-0.885826504E+00 --0.884654746E+00-0.883479692E+00-0.882301340E+00-0.881119690E+00-0.879934743E+00 --0.878746498E+00-0.877554956E+00-0.876360117E+00-0.875161980E+00-0.873960546E+00 --0.872755814E+00-0.871547784E+00-0.870336457E+00-0.869121833E+00-0.867783850E+00 --0.866352892E+00-0.864864713E+00-0.863319315E+00-0.861985008E+00-0.860621130E+00 --0.859190454E+00-0.857691691E+00-0.856097081E+00-0.854487666E+00-0.852863447E+00 --0.851224423E+00-0.849570594E+00-0.847901960E+00-0.846218521E+00-0.844520278E+00 --0.842807230E+00-0.841079377E+00-0.839336719E+00-0.837579257E+00-0.835806989E+00 --0.833993362E+00-0.832137955E+00-0.830304744E+00-0.828493731E+00-0.826704915E+00 --0.824938296E+00-0.823193874E+00-0.821471650E+00-0.819771622E+00-0.818093792E+00 --0.816438159E+00-0.814804722E+00-0.813193483E+00-0.811604441E+00-0.810037596E+00 --0.808486548E+00-0.806897670E+00-0.805321676E+00-0.803773164E+00-0.802236888E+00 --0.800717537E+00-0.799215112E+00-0.797729612E+00-0.796261037E+00-0.794809210E+00 --0.793373635E+00-0.791955716E+00-0.790555846E+00-0.789174792E+00-0.787811101E+00 --0.786464282E+00-0.785135358E+00-0.783825141E+00-0.782533630E+00-0.781260825E+00 --0.780004843E+00-0.778765285E+00-0.777543922E+00-0.776340413E+00-0.775153472E+00 --0.773983910E+00-0.772832610E+00-0.771695615E+00-0.770578514E+00-0.769477735E+00 --0.768393241E+00-0.767325031E+00-0.766272859E+00-0.765236806E+00-0.764216919E+00 --0.763213094E+00-0.762225094E+00-0.761252895E+00-0.760295403E+00-0.759353456E+00 --0.758426803E+00-0.757515445E+00-0.756619054E+00-0.755736239E+00-0.754867826E+00 --0.754014182E+00-0.753175308E+00-0.752350847E+00-0.751539473E+00-0.750741210E+00 --0.749956893E+00-0.749186066E+00-0.748428728E+00-0.747684634E+00-0.746952465E+00 --0.746232467E+00-0.745525355E+00-0.744831137E+00-0.744149439E+00-0.743479152E+00 --0.742820703E+00-0.742173709E+00-0.741537867E+00-0.740913428E+00-0.740300092E+00 --0.739697456E+00-0.739105068E+00-0.738523665E+00-0.737952517E+00-0.737391202E+00 --0.736839150E+00-0.736296311E+00-0.735763145E+00-0.735239652E+00-0.734727171E+00 --0.734222715E+00-0.733725191E+00-0.733234598E+00-0.732750936E+00-0.732274206E+00 --0.731804407E+00-0.731341540E+00-0.730888484E+00-0.730440046E+00-0.730003405E+00 --0.729588408E+00-0.729194065E+00-0.728820375E+00-0.728467339E+00-0.728134956E+00 --0.727823227E+00-0.727532152E+00-0.727260458E+00-0.727006124E+00-0.726769136E+00 --0.726549494E+00-0.726347200E+00-0.726162935E+00-0.725997168E+00-0.725849399E+00 --0.725719630E+00-0.725607858E+00-0.725514086E+00-0.725437866E+00-0.725378635E+00 --0.725336400E+00-0.725311161E+00-0.725302919E+00-0.725312134E+00-0.725338543E+00 --0.725381461E+00-0.725440889E+00-0.725516826E+00-0.725609272E+00-0.725718227E+00 --0.725844596E+00-0.725988047E+00-0.726146621E+00-0.726321716E+00-0.726514820E+00 --0.726724846E+00-0.726951398E+00-0.727194477E+00-0.727454082E+00-0.727730214E+00 --0.728022872E+00-0.728331434E+00-0.728656709E+00-0.728999825E+00-0.729359956E+00 --0.729737104E+00-0.730131267E+00-0.730542446E+00-0.730970641E+00-0.731415592E+00 --0.731878060E+00-0.732358641E+00-0.732857336E+00-0.733374144E+00-0.733909065E+00 --0.734461980E+00-0.735021769E+00-0.735581427E+00-0.736143427E+00-0.736707973E+00 --0.737275065E+00-0.737844703E+00-0.738416886E+00-0.738991616E+00-0.739568891E+00 --0.740148713E+00-0.740731080E+00-0.741315994E+00-0.741903453E+00-0.742493458E+00 --0.743086010E+00-0.743681107E+00-0.744278750E+00-0.744878939E+00-0.745481674E+00 --0.746086955E+00-0.746694781E+00-0.747326693E+00-0.747959177E+00-0.748591466E+00 --0.749223560E+00-0.749855458E+00-0.750487161E+00-0.751118669E+00-0.751749981E+00 --0.752381098E+00-0.753012020E+00-0.753642746E+00-0.754273277E+00-0.754909166E+00 --0.755567950E+00-0.756230391E+00-0.756896488E+00-0.757566243E+00-0.758239654E+00 --0.758916723E+00-0.759597448E+00-0.760291727E+00-0.761042944E+00-0.761804040E+00 --0.762575016E+00-0.763355872E+00-0.764146608E+00-0.764900061E+00-0.765659413E+00 --0.766445887E+00-0.767259484E+00-0.768100204E+00-0.768968047E+00-0.769863012E+00 --0.770785100E+00-0.771734311E+00-0.772710645E+00-0.773714102E+00-0.774748318E+00 --0.775797331E+00-0.776858714E+00-0.777932470E+00-0.779018597E+00-0.780128484E+00 --0.781297749E+00-0.782484385E+00-0.783688392E+00-0.784909771E+00-0.786148520E+00 --0.787404641E+00-0.788678133E+00-0.789966773E+00-0.791261690E+00-0.792585279E+00 --0.793937540E+00-0.795318472E+00-0.796728077E+00-0.798166353E+00-0.799633302E+00 --0.801128922E+00-0.802643607E+00-0.804141903E+00-0.805669895E+00-0.807227581E+00 --0.912024604E+00-0.910185056E+00-0.908386326E+00-0.906628412E+00-0.904911315E+00 --0.903219487E+00-0.901559438E+00-0.899950096E+00-0.898391463E+00-0.896883538E+00 --0.895426322E+00-0.894019814E+00-0.892664014E+00-0.891358923E+00-0.890104541E+00 --0.888900866E+00-0.887733769E+00-0.886511092E+00-0.885250468E+00-0.884001529E+00 --0.882842928E+00-0.881681029E+00-0.880515833E+00-0.879347339E+00-0.878175548E+00 --0.877000460E+00-0.875822074E+00-0.874640390E+00-0.873455410E+00-0.872267131E+00 --0.871075555E+00-0.869880682E+00-0.868682511E+00-0.867481043E+00-0.866276277E+00 --0.865068214E+00-0.863856853E+00-0.862642195E+00-0.861424240E+00-0.860202987E+00 --0.858871852E+00-0.857407709E+00-0.855886345E+00-0.854653124E+00-0.853366543E+00 --0.851969303E+00-0.850468994E+00-0.848953880E+00-0.847423962E+00-0.845879238E+00 --0.844319710E+00-0.842745377E+00-0.841156240E+00-0.839552297E+00-0.837933550E+00 --0.836299998E+00-0.834651641E+00-0.832988479E+00-0.831310512E+00-0.829617741E+00 --0.827910165E+00-0.826151310E+00-0.824408808E+00-0.822688504E+00-0.820990397E+00 --0.819314487E+00-0.817660774E+00-0.816029258E+00-0.814419939E+00-0.812832817E+00 --0.811267893E+00-0.809725165E+00-0.808204635E+00-0.806706302E+00-0.805207084E+00 --0.803672209E+00-0.802146317E+00-0.800629407E+00-0.799125556E+00-0.797650273E+00 --0.796189925E+00-0.794744711E+00-0.793316422E+00-0.791904328E+00-0.790505393E+00 --0.789121986E+00-0.787755554E+00-0.786405659E+00-0.785072426E+00-0.783756066E+00 --0.782456579E+00-0.781172533E+00-0.779905753E+00-0.778657198E+00-0.777425205E+00 --0.776209776E+00-0.775010908E+00-0.773828316E+00-0.772662217E+00-0.771512687E+00 --0.770379086E+00-0.769261581E+00-0.768161217E+00-0.767075845E+00-0.766006758E+00 --0.764953959E+00-0.763917445E+00-0.762896667E+00-0.761889835E+00-0.760898512E+00 --0.759923007E+00-0.758963319E+00-0.758018706E+00-0.757087997E+00-0.756171219E+00 --0.755269303E+00-0.754382611E+00-0.753509946E+00-0.752650967E+00-0.751805674E+00 --0.750974067E+00-0.750156690E+00-0.749352961E+00-0.748562301E+00-0.747784709E+00 --0.747019800E+00-0.746267556E+00-0.745528989E+00-0.744803039E+00-0.744088852E+00 --0.743386429E+00-0.742695770E+00-0.742017249E+00-0.741350237E+00-0.740695294E+00 --0.740051651E+00-0.739419248E+00-0.738798084E+00-0.738187755E+00-0.737587414E+00 --0.736997232E+00-0.736417263E+00-0.735847474E+00-0.735287643E+00-0.734737626E+00 --0.734196681E+00-0.733664479E+00-0.733140868E+00-0.732626515E+00-0.732122211E+00 --0.731625374E+00-0.731135469E+00-0.730652495E+00-0.730176453E+00-0.729707435E+00 --0.729246080E+00-0.728792093E+00-0.728344144E+00-0.727899020E+00-0.727470570E+00 --0.727060819E+00-0.726671722E+00-0.726303278E+00-0.725955488E+00-0.725628352E+00 --0.725321869E+00-0.725036040E+00-0.724769730E+00-0.724520756E+00-0.724289129E+00 --0.724074849E+00-0.723877914E+00-0.723698327E+00-0.723536086E+00-0.723391416E+00 --0.723264740E+00-0.723156063E+00-0.723066103E+00-0.722994262E+00-0.722939417E+00 --0.722901569E+00-0.722880718E+00-0.722876862E+00-0.722890003E+00-0.722920123E+00 --0.722966866E+00-0.723030119E+00-0.723110340E+00-0.723207802E+00-0.723322275E+00 --0.723453759E+00-0.723601569E+00-0.723765464E+00-0.723946005E+00-0.724143192E+00 --0.724357123E+00-0.724588738E+00-0.724836879E+00-0.725101546E+00-0.725382740E+00 --0.725680460E+00-0.725994414E+00-0.726325198E+00-0.726673447E+00-0.727039295E+00 --0.727422417E+00-0.727822555E+00-0.728239709E+00-0.728673879E+00-0.729125202E+00 --0.729594658E+00-0.730082227E+00-0.730587909E+00-0.731111705E+00-0.731653652E+00 --0.732214373E+00-0.732776377E+00-0.733341581E+00-0.733909987E+00-0.734481685E+00 --0.735057291E+00-0.735635443E+00-0.736216141E+00-0.736799385E+00-0.737385174E+00 --0.737973510E+00-0.738564392E+00-0.739157819E+00-0.739753793E+00-0.740352312E+00 --0.740953377E+00-0.741556989E+00-0.742163146E+00-0.742771849E+00-0.743383098E+00 --0.743996893E+00-0.744613234E+00-0.745233509E+00-0.745879106E+00-0.746524508E+00 --0.747169715E+00-0.747814727E+00-0.748459543E+00-0.749104164E+00-0.749748589E+00 --0.750392819E+00-0.751036854E+00-0.751684949E+00-0.752349174E+00-0.753017056E+00 --0.753688595E+00-0.754363791E+00-0.755042645E+00-0.755725154E+00-0.756411321E+00 --0.757101145E+00-0.757794626E+00-0.758527539E+00-0.759285836E+00-0.760054013E+00 --0.760832070E+00-0.761620007E+00-0.762417823E+00-0.763213421E+00-0.763985033E+00 --0.764783768E+00-0.765609626E+00-0.766462607E+00-0.767342710E+00-0.768249937E+00 --0.769184286E+00-0.770145758E+00-0.771134352E+00-0.772150069E+00-0.773183333E+00 --0.774228969E+00-0.775286976E+00-0.776357355E+00-0.777440106E+00-0.778535228E+00 --0.779674808E+00-0.780847367E+00-0.782037297E+00-0.783244598E+00-0.784469270E+00 --0.785711313E+00-0.786970727E+00-0.788247513E+00-0.789541669E+00-0.790853020E+00 --0.792184682E+00-0.793545017E+00-0.794934023E+00-0.796351702E+00-0.797798052E+00 --0.799273075E+00-0.800776769E+00-0.802273763E+00-0.803763060E+00-0.805282052E+00 --0.904950520E+00-0.903091994E+00-0.901274284E+00-0.899497392E+00-0.897761316E+00 --0.896066057E+00-0.894411616E+00-0.892797991E+00-0.891225183E+00-0.889693192E+00 --0.888188013E+00-0.886724114E+00-0.885310924E+00-0.883948442E+00-0.882636668E+00 --0.881375603E+00-0.880146763E+00-0.878838607E+00-0.877599514E+00-0.876440879E+00 --0.875278947E+00-0.874113717E+00-0.872945190E+00-0.871773365E+00-0.870598242E+00 --0.869419823E+00-0.868238105E+00-0.867053091E+00-0.865864778E+00-0.864673169E+00 --0.863478262E+00-0.862280057E+00-0.861078555E+00-0.859873755E+00-0.858665658E+00 --0.857454264E+00-0.856239572E+00-0.855021582E+00-0.853800296E+00-0.852575711E+00 --0.851347829E+00-0.850035521E+00-0.848557472E+00-0.847414986E+00-0.846077283E+00 --0.844671275E+00-0.843250462E+00-0.841814844E+00-0.840364422E+00-0.838899194E+00 --0.837419162E+00-0.835924325E+00-0.834414684E+00-0.832890237E+00-0.831350986E+00 --0.829796930E+00-0.828228069E+00-0.826644403E+00-0.825045933E+00-0.823432658E+00 --0.821804577E+00-0.820151898E+00-0.818500106E+00-0.816870510E+00-0.815263112E+00 --0.813677910E+00-0.812114906E+00-0.810574099E+00-0.809055489E+00-0.807559076E+00 --0.806084861E+00-0.804632842E+00-0.803203021E+00-0.801750092E+00-0.800269219E+00 --0.798797330E+00-0.797334423E+00-0.795880499E+00-0.794435557E+00-0.793003853E+00 --0.791600783E+00-0.790212714E+00-0.788838705E+00-0.787478425E+00-0.786132878E+00 --0.784802207E+00-0.783486945E+00-0.782186919E+00-0.780901914E+00-0.779633046E+00 --0.778380314E+00-0.777142286E+00-0.775919481E+00-0.774712882E+00-0.773522505E+00 --0.772348350E+00-0.771189668E+00-0.770046663E+00-0.768918371E+00-0.767805918E+00 --0.766709306E+00-0.765628688E+00-0.764563525E+00-0.763512464E+00-0.762475879E+00 --0.761455420E+00-0.760451203E+00-0.759461034E+00-0.758485138E+00-0.757523515E+00 --0.756576289E+00-0.755644561E+00-0.754726835E+00-0.753823021E+00-0.752933301E+00 --0.752057147E+00-0.751194600E+00-0.750345851E+00-0.749510899E+00-0.748689743E+00 --0.747881623E+00-0.747085746E+00-0.746303856E+00-0.745534381E+00-0.744777320E+00 --0.744033164E+00-0.743301081E+00-0.742581350E+00-0.741873502E+00-0.741177386E+00 --0.740493000E+00-0.739820345E+00-0.739159420E+00-0.738510028E+00-0.737871030E+00 --0.737242367E+00-0.736624603E+00-0.736018117E+00-0.735421563E+00-0.734835313E+00 --0.734258817E+00-0.733691894E+00-0.733134765E+00-0.732587199E+00-0.732048789E+00 --0.731519084E+00-0.730997978E+00-0.730485466E+00-0.729981546E+00-0.729485262E+00 --0.728996616E+00-0.728515338E+00-0.728041427E+00-0.727574884E+00-0.727115708E+00 --0.726663899E+00-0.726216140E+00-0.725774234E+00-0.725338589E+00-0.724918895E+00 --0.724518144E+00-0.724135765E+00-0.723772568E+00-0.723430024E+00-0.723108134E+00 --0.722806898E+00-0.722526315E+00-0.722265592E+00-0.722021979E+00-0.721795713E+00 --0.721586793E+00-0.721395220E+00-0.721220993E+00-0.721064113E+00-0.720924579E+00 --0.720802391E+00-0.720697220E+00-0.720612770E+00-0.720545316E+00-0.720494858E+00 --0.720461397E+00-0.720444940E+00-0.720445764E+00-0.720463825E+00-0.720499123E+00 --0.720549633E+00-0.720618117E+00-0.720703612E+00-0.720806118E+00-0.720925635E+00 --0.721062103E+00-0.721214798E+00-0.721384139E+00-0.721570126E+00-0.721772760E+00 --0.721992040E+00-0.722227966E+00-0.722480765E+00-0.722750495E+00-0.723036751E+00 --0.723339533E+00-0.723658859E+00-0.723995403E+00-0.724349413E+00-0.724720888E+00 --0.725109828E+00-0.725515983E+00-0.725939112E+00-0.726379257E+00-0.726836445E+00 --0.727312889E+00-0.727807446E+00-0.728320116E+00-0.728851210E+00-0.729401061E+00 --0.729967727E+00-0.730536080E+00-0.731107633E+00-0.731682388E+00-0.732260344E+00 --0.732841500E+00-0.733425858E+00-0.734013416E+00-0.734604175E+00-0.735198135E+00 --0.735795296E+00-0.736394850E+00-0.736996792E+00-0.737601279E+00-0.738208313E+00 --0.738817892E+00-0.739430018E+00-0.740044689E+00-0.740661906E+00-0.741281670E+00 --0.741903979E+00-0.742528834E+00-0.743156235E+00-0.743790068E+00-0.744448584E+00 --0.745106903E+00-0.745765028E+00-0.746422957E+00-0.747080691E+00-0.747738230E+00 --0.748398163E+00-0.749067829E+00-0.749741153E+00-0.750418134E+00-0.751098771E+00 --0.751783066E+00-0.752471017E+00-0.753162626E+00-0.753857891E+00-0.754556813E+00 --0.755259392E+00-0.755974123E+00-0.756729621E+00-0.757494999E+00-0.758270256E+00 --0.759055394E+00-0.759850411E+00-0.760655308E+00-0.761470084E+00-0.762267406E+00 --0.763078402E+00-0.763916521E+00-0.764781763E+00-0.765674127E+00-0.766593614E+00 --0.767540224E+00-0.768513957E+00-0.769514813E+00-0.770533249E+00-0.771563136E+00 --0.772605396E+00-0.773660027E+00-0.774727029E+00-0.775806403E+00-0.776898148E+00 --0.778006828E+00-0.779165310E+00-0.780341162E+00-0.781534386E+00-0.782744980E+00 --0.783972946E+00-0.785218283E+00-0.786480991E+00-0.787761070E+00-0.789058520E+00 --0.790373342E+00-0.791705534E+00-0.793073912E+00-0.794470992E+00-0.795896745E+00 --0.797351169E+00-0.798834265E+00-0.800346033E+00-0.801814512E+00-0.803294810E+00 --0.897660186E+00-0.895782681E+00-0.893945992E+00-0.892150121E+00-0.890395066E+00 --0.888680828E+00-0.887007408E+00-0.885374804E+00-0.883783017E+00-0.882232047E+00 --0.880721894E+00-0.879252558E+00-0.877824039E+00-0.876436337E+00-0.875089452E+00 --0.873774187E+00-0.872484676E+00-0.871274514E+00-0.870115845E+00-0.868953879E+00 --0.867788615E+00-0.866620054E+00-0.865448196E+00-0.864273039E+00-0.863094586E+00 --0.861912835E+00-0.860727786E+00-0.859539440E+00-0.858347797E+00-0.857152856E+00 --0.855954617E+00-0.854753081E+00-0.853548248E+00-0.852340117E+00-0.851128689E+00 --0.849913963E+00-0.848695940E+00-0.847474619E+00-0.846250001E+00-0.845022085E+00 --0.843790872E+00-0.842556361E+00-0.841312533E+00-0.840015631E+00-0.838703923E+00 --0.837377411E+00-0.836036094E+00-0.834679973E+00-0.833309046E+00-0.831923315E+00 --0.830522779E+00-0.829107438E+00-0.827677292E+00-0.826232342E+00-0.824772587E+00 --0.823298027E+00-0.821808662E+00-0.820304492E+00-0.818785518E+00-0.817251738E+00 --0.815703154E+00-0.814139720E+00-0.812578636E+00-0.811039750E+00-0.809523060E+00 --0.808028568E+00-0.806556272E+00-0.805106174E+00-0.803678273E+00-0.802272569E+00 --0.800889062E+00-0.799527752E+00-0.798115570E+00-0.796688701E+00-0.795270814E+00 --0.793861910E+00-0.792461989E+00-0.791071050E+00-0.789689094E+00-0.788316121E+00 --0.786954695E+00-0.785619971E+00-0.784298824E+00-0.782991444E+00-0.781697972E+00 --0.780419168E+00-0.779154307E+00-0.777904045E+00-0.776668976E+00-0.775448367E+00 --0.774241047E+00-0.773048406E+00-0.771870447E+00-0.770706388E+00-0.769558551E+00 --0.768426264E+00-0.767307337E+00-0.766203761E+00-0.765114978E+00-0.764040135E+00 --0.762980655E+00-0.761936622E+00-0.760906185E+00-0.759889849E+00-0.758887615E+00 --0.757899509E+00-0.756927125E+00-0.755967519E+00-0.755022301E+00-0.754091056E+00 --0.753173595E+00-0.752269935E+00-0.751380321E+00-0.750504803E+00-0.749642934E+00 --0.748793447E+00-0.747956277E+00-0.747131954E+00-0.746321558E+00-0.745524559E+00 --0.744739873E+00-0.743967440E+00-0.743207360E+00-0.742459705E+00-0.741724464E+00 --0.741001060E+00-0.740288913E+00-0.739589637E+00-0.738900975E+00-0.738223200E+00 --0.737557155E+00-0.736902840E+00-0.736260096E+00-0.735627459E+00-0.735005158E+00 --0.734393193E+00-0.733791363E+00-0.733199337E+00-0.732618014E+00-0.732046405E+00 --0.731484055E+00-0.730930964E+00-0.730387132E+00-0.729852592E+00-0.729326791E+00 --0.728809405E+00-0.728300281E+00-0.727799132E+00-0.727305892E+00-0.726820589E+00 --0.726341697E+00-0.725869965E+00-0.725405600E+00-0.724948603E+00-0.724498567E+00 --0.724054468E+00-0.723616257E+00-0.723183935E+00-0.722757769E+00-0.722346780E+00 --0.721954735E+00-0.721581632E+00-0.721227472E+00-0.720890947E+00-0.720574303E+00 --0.720278313E+00-0.720002977E+00-0.719748045E+00-0.719509793E+00-0.719288888E+00 --0.719085329E+00-0.718899116E+00-0.718730250E+00-0.718578731E+00-0.718444557E+00 --0.718328230E+00-0.718230023E+00-0.718150893E+00-0.718089001E+00-0.718044345E+00 --0.718016928E+00-0.718006747E+00-0.718013804E+00-0.718038099E+00-0.718077179E+00 --0.718132335E+00-0.718205587E+00-0.718296126E+00-0.718403676E+00-0.718528236E+00 --0.718669716E+00-0.718827857E+00-0.719002645E+00-0.719194078E+00-0.719402158E+00 --0.719626885E+00-0.719868258E+00-0.720126277E+00-0.720400942E+00-0.720692246E+00 --0.721000090E+00-0.721324769E+00-0.721667074E+00-0.722026844E+00-0.722404080E+00 --0.722798781E+00-0.723210947E+00-0.723640579E+00-0.724086774E+00-0.724549909E+00 --0.725032754E+00-0.725534298E+00-0.726053683E+00-0.726591167E+00-0.727146890E+00 --0.727719499E+00-0.728294202E+00-0.728872105E+00-0.729453209E+00-0.730037514E+00 --0.730625020E+00-0.731215726E+00-0.731809634E+00-0.732406742E+00-0.733007052E+00 --0.733610562E+00-0.734217273E+00-0.734827185E+00-0.735440298E+00-0.736056612E+00 --0.736676126E+00-0.737298842E+00-0.737923379E+00-0.738549111E+00-0.739177388E+00 --0.739808211E+00-0.740441581E+00-0.741077496E+00-0.741715957E+00-0.742363692E+00 --0.743035125E+00-0.743706362E+00-0.744377405E+00-0.745048808E+00-0.745723916E+00 --0.746402681E+00-0.747085103E+00-0.747771182E+00-0.748460918E+00-0.749154311E+00 --0.749851361E+00-0.750552068E+00-0.751256431E+00-0.751964452E+00-0.752676130E+00 --0.753391464E+00-0.754135393E+00-0.754897972E+00-0.755670430E+00-0.756452769E+00 --0.757244987E+00-0.758047084E+00-0.758859062E+00-0.759680919E+00-0.760506532E+00 --0.761329789E+00-0.762180169E+00-0.763057671E+00-0.763962297E+00-0.764894045E+00 --0.765852915E+00-0.766838909E+00-0.767847076E+00-0.768861216E+00-0.769887727E+00 --0.770926610E+00-0.771977865E+00-0.773041491E+00-0.774117488E+00-0.775205857E+00 --0.776306598E+00-0.777438214E+00-0.778599989E+00-0.779779135E+00-0.780975652E+00 --0.782189540E+00-0.783420800E+00-0.784669430E+00-0.785935432E+00-0.787218805E+00 --0.788519549E+00-0.789837664E+00-0.791173150E+00-0.792526007E+00-0.793929379E+00 --0.795363206E+00-0.796825704E+00-0.798316874E+00-0.799824250E+00-0.801265854E+00 --0.890153602E+00-0.888257117E+00-0.886401450E+00-0.884586599E+00-0.882812566E+00 --0.881079349E+00-0.879386949E+00-0.877735366E+00-0.876124601E+00-0.874554652E+00 --0.873025520E+00-0.871537205E+00-0.870089707E+00-0.868692316E+00-0.867359080E+00 --0.866080447E+00-0.864809318E+00-0.863460043E+00-0.862314400E+00-0.861166264E+00 --0.860015635E+00-0.858862512E+00-0.857706895E+00-0.856548785E+00-0.855388181E+00 --0.854225084E+00-0.853059493E+00-0.851891408E+00-0.850720830E+00-0.849547759E+00 --0.848372194E+00-0.847194135E+00-0.846013583E+00-0.844830537E+00-0.843644998E+00 --0.842456965E+00-0.841266438E+00-0.840073418E+00-0.838877904E+00-0.837679897E+00 --0.836479397E+00-0.835256787E+00-0.834021686E+00-0.832738292E+00-0.831423441E+00 --0.830105413E+00-0.828825891E+00-0.827549266E+00-0.826257835E+00-0.824951600E+00 --0.823630560E+00-0.822294715E+00-0.820944065E+00-0.819578611E+00-0.818198352E+00 --0.816803288E+00-0.815393419E+00-0.813968746E+00-0.812529267E+00-0.811074984E+00 --0.809605896E+00-0.808122003E+00-0.806644401E+00-0.805196223E+00-0.803770242E+00 --0.802366458E+00-0.800984872E+00-0.799625483E+00-0.798288290E+00-0.796973295E+00 --0.795680497E+00-0.794303519E+00-0.792930653E+00-0.791566769E+00-0.790211868E+00 --0.788865950E+00-0.787529015E+00-0.786200712E+00-0.784875950E+00-0.783556001E+00 --0.782240866E+00-0.780963590E+00-0.779697714E+00-0.778443778E+00-0.777203688E+00 --0.775977301E+00-0.774763066E+00-0.773563062E+00-0.772376466E+00-0.771202925E+00 --0.770042438E+00-0.768895007E+00-0.767760631E+00-0.766641244E+00-0.765536200E+00 --0.764445174E+00-0.763367574E+00-0.762303435E+00-0.761253115E+00-0.760216708E+00 --0.759194214E+00-0.758185418E+00-0.757189956E+00-0.756208479E+00-0.755240986E+00 --0.754287479E+00-0.753346385E+00-0.752420341E+00-0.751506170E+00-0.750605471E+00 --0.749718555E+00-0.748844097E+00-0.747982849E+00-0.747135581E+00-0.746300630E+00 --0.745477996E+00-0.744667672E+00-0.743869415E+00-0.743084029E+00-0.742311184E+00 --0.741550325E+00-0.740801720E+00-0.740064664E+00-0.739338864E+00-0.738625965E+00 --0.737924081E+00-0.737233210E+00-0.736553851E+00-0.735885506E+00-0.735227860E+00 --0.734580911E+00-0.733944824E+00-0.733319482E+00-0.732704297E+00-0.732099360E+00 --0.731504332E+00-0.730919212E+00-0.730344002E+00-0.729778357E+00-0.729221743E+00 --0.728674389E+00-0.728136143E+00-0.727606375E+00-0.727085045E+00-0.726572236E+00 --0.726068057E+00-0.725572368E+00-0.725083814E+00-0.724602300E+00-0.724127941E+00 --0.723661770E+00-0.723199585E+00-0.722745822E+00-0.722299531E+00-0.721859128E+00 --0.721424613E+00-0.720995986E+00-0.720573247E+00-0.720156560E+00-0.719754277E+00 --0.719370937E+00-0.719006539E+00-0.718661084E+00-0.718334571E+00-0.718026859E+00 --0.717736115E+00-0.717466025E+00-0.717216588E+00-0.716984197E+00-0.716768653E+00 --0.716570455E+00-0.716389603E+00-0.716226098E+00-0.716081395E+00-0.715955404E+00 --0.715847029E+00-0.715756269E+00-0.715683294E+00-0.715627635E+00-0.715589213E+00 --0.715568029E+00-0.715564082E+00-0.715577372E+00-0.715606605E+00-0.715652084E+00 --0.715713946E+00-0.715792298E+00-0.715887881E+00-0.716000475E+00-0.716130220E+00 --0.716277161E+00-0.716440748E+00-0.716620982E+00-0.716817862E+00-0.717031389E+00 --0.717261562E+00-0.717508381E+00-0.717771846E+00-0.718051958E+00-0.718348717E+00 --0.718662121E+00-0.718992144E+00-0.719340210E+00-0.719705741E+00-0.720088737E+00 --0.720489198E+00-0.720907125E+00-0.721342518E+00-0.721795375E+00-0.722265541E+00 --0.722754196E+00-0.723261072E+00-0.723786188E+00-0.724329543E+00-0.724891137E+00 --0.725469691E+00-0.726050743E+00-0.726634995E+00-0.727222449E+00-0.727813103E+00 --0.728406958E+00-0.729004014E+00-0.729604271E+00-0.730207729E+00-0.730814388E+00 --0.731424247E+00-0.732037308E+00-0.732653569E+00-0.733273031E+00-0.733895694E+00 --0.734521558E+00-0.735150623E+00-0.735782889E+00-0.736418355E+00-0.737057023E+00 --0.737698891E+00-0.738343960E+00-0.738992230E+00-0.739642879E+00-0.740292400E+00 --0.740954379E+00-0.741636884E+00-0.742317434E+00-0.743001640E+00-0.743689504E+00 --0.744381024E+00-0.745076201E+00-0.745775036E+00-0.746477527E+00-0.747183675E+00 --0.747893480E+00-0.748606943E+00-0.749324062E+00-0.750044838E+00-0.750769271E+00 --0.751503154E+00-0.752262933E+00-0.753032593E+00-0.753812132E+00-0.754601551E+00 --0.755400849E+00-0.756210027E+00-0.757029086E+00-0.757858023E+00-0.758696841E+00 --0.759537929E+00-0.760400569E+00-0.761290333E+00-0.762207219E+00-0.763151228E+00 --0.764122360E+00-0.765120614E+00-0.766123209E+00-0.767133972E+00-0.768157107E+00 --0.769192613E+00-0.770240491E+00-0.771300740E+00-0.772373361E+00-0.773458354E+00 --0.774555718E+00-0.775666079E+00-0.776813776E+00-0.777978845E+00-0.779161284E+00 --0.780361095E+00-0.781578277E+00-0.782812830E+00-0.784064755E+00-0.785334050E+00 --0.786620717E+00-0.787924754E+00-0.789246163E+00-0.790584943E+00-0.791941094E+00 --0.793314616E+00-0.794751084E+00-0.796221656E+00-0.797720900E+00-0.799195185E+00 --0.882430767E+00-0.880515303E+00-0.878640657E+00-0.876806827E+00-0.875013815E+00 --0.873261619E+00-0.871550240E+00-0.869879679E+00-0.868249244E+00-0.866666894E+00 --0.865139148E+00-0.863666005E+00-0.862247465E+00-0.860883529E+00-0.859574197E+00 --0.858319468E+00-0.857051319E+00-0.855741246E+00-0.854443141E+00-0.853198886E+00 --0.852078416E+00-0.850955453E+00-0.849829997E+00-0.848702047E+00-0.847571603E+00 --0.846438666E+00-0.845303235E+00-0.844165311E+00-0.843024893E+00-0.841881981E+00 --0.840736576E+00-0.839588678E+00-0.838438286E+00-0.837285400E+00-0.836130021E+00 --0.834972148E+00-0.833811781E+00-0.832648921E+00-0.831483568E+00-0.830313280E+00 --0.829124072E+00-0.827936197E+00-0.826749654E+00-0.825556691E+00-0.824301189E+00 --0.823042511E+00-0.821780656E+00-0.820515626E+00-0.819247419E+00-0.817984049E+00 --0.816742506E+00-0.815486157E+00-0.814215003E+00-0.812929045E+00-0.811628282E+00 --0.810312714E+00-0.808982341E+00-0.807637163E+00-0.806277181E+00-0.804902394E+00 --0.803512802E+00-0.802108405E+00-0.800697399E+00-0.799339930E+00-0.798004658E+00 --0.796691583E+00-0.795400705E+00-0.794132024E+00-0.792885541E+00-0.791641786E+00 --0.790313940E+00-0.788995077E+00-0.787685196E+00-0.786384298E+00-0.785092383E+00 --0.783811299E+00-0.782536948E+00-0.781267410E+00-0.780002686E+00-0.778742775E+00 --0.777487678E+00-0.776254468E+00-0.775043248E+00-0.773843516E+00-0.772656419E+00 --0.771481295E+00-0.770318425E+00-0.769167298E+00-0.768026978E+00-0.766899559E+00 --0.765785041E+00-0.764683424E+00-0.763594709E+00-0.762518973E+00-0.761456708E+00 --0.760406992E+00-0.759370380E+00-0.758347150E+00-0.757335293E+00-0.756337304E+00 --0.755352297E+00-0.754380826E+00-0.753422026E+00-0.752475317E+00-0.751542594E+00 --0.750622726E+00-0.749714982E+00-0.748820386E+00-0.747938497E+00-0.747069161E+00 --0.746212491E+00-0.745367754E+00-0.744535675E+00-0.743716034E+00-0.742908513E+00 --0.742113111E+00-0.741329829E+00-0.740558667E+00-0.739799327E+00-0.739051376E+00 --0.738314994E+00-0.737590182E+00-0.736876343E+00-0.736174450E+00-0.735483525E+00 --0.734803565E+00-0.734134572E+00-0.733475482E+00-0.732827480E+00-0.732190187E+00 --0.731563603E+00-0.730947518E+00-0.730340556E+00-0.729743516E+00-0.729156489E+00 --0.728578987E+00-0.728011012E+00-0.727452593E+00-0.726903501E+00-0.726362968E+00 --0.725830872E+00-0.725307430E+00-0.724792640E+00-0.724286261E+00-0.723787505E+00 --0.723297327E+00-0.722814566E+00-0.722338844E+00-0.721870161E+00-0.721408512E+00 --0.720953999E+00-0.720505482E+00-0.720063282E+00-0.719627098E+00-0.719196931E+00 --0.718772781E+00-0.718354648E+00-0.717942532E+00-0.717533752E+00-0.717141393E+00 --0.716767201E+00-0.716411177E+00-0.716074307E+00-0.715756500E+00-0.715457635E+00 --0.715177713E+00-0.714915459E+00-0.714671269E+00-0.714445192E+00-0.714235008E+00 --0.714042171E+00-0.713868959E+00-0.713715404E+00-0.713579464E+00-0.713461139E+00 --0.713360429E+00-0.713277334E+00-0.713211222E+00-0.713161797E+00-0.713129608E+00 --0.713114657E+00-0.713116943E+00-0.713136326E+00-0.713172128E+00-0.713224313E+00 --0.713292882E+00-0.713377836E+00-0.713478879E+00-0.713596517E+00-0.713732050E+00 --0.713884437E+00-0.714053471E+00-0.714239151E+00-0.714441478E+00-0.714660451E+00 --0.714896070E+00-0.715148335E+00-0.715417318E+00-0.715703046E+00-0.716005499E+00 --0.716324687E+00-0.716660915E+00-0.717014421E+00-0.717385392E+00-0.717773828E+00 --0.718179730E+00-0.718603097E+00-0.719043929E+00-0.719502227E+00-0.719977990E+00 --0.720473118E+00-0.720986125E+00-0.721517112E+00-0.722066338E+00-0.722633804E+00 --0.723218302E+00-0.723805703E+00-0.724396305E+00-0.724990108E+00-0.725587111E+00 --0.726187316E+00-0.726790721E+00-0.727397327E+00-0.728007135E+00-0.728620143E+00 --0.729236351E+00-0.729855761E+00-0.730478372E+00-0.731104183E+00-0.731733196E+00 --0.732365409E+00-0.733000823E+00-0.733639438E+00-0.734281254E+00-0.734926271E+00 --0.735574488E+00-0.736225754E+00-0.736878978E+00-0.737535037E+00-0.738193930E+00 --0.738861605E+00-0.739538030E+00-0.740231335E+00-0.740928297E+00-0.741628916E+00 --0.742333192E+00-0.743041124E+00-0.743752714E+00-0.744467961E+00-0.745186864E+00 --0.745909425E+00-0.746635642E+00-0.747365517E+00-0.748099048E+00-0.748836237E+00 --0.749589883E+00-0.750356743E+00-0.751133483E+00-0.751920103E+00-0.752716602E+00 --0.753522981E+00-0.754339240E+00-0.755165379E+00-0.756001397E+00-0.756847295E+00 --0.757702822E+00-0.758577723E+00-0.759479747E+00-0.760408894E+00-0.761365164E+00 --0.762348557E+00-0.763349114E+00-0.764344129E+00-0.765351516E+00-0.766371274E+00 --0.767403404E+00-0.768447905E+00-0.769504778E+00-0.770574022E+00-0.771655638E+00 --0.772749626E+00-0.773855985E+00-0.774982525E+00-0.776133516E+00-0.777301878E+00 --0.778487611E+00-0.779690716E+00-0.780911192E+00-0.782149038E+00-0.783404256E+00 --0.784676845E+00-0.785966806E+00-0.787274137E+00-0.788598839E+00-0.789940913E+00 --0.791300358E+00-0.792677173E+00-0.794071360E+00-0.795539027E+00-0.797046345E+00 --0.874491681E+00-0.872557239E+00-0.870663613E+00-0.868805733E+00-0.866974269E+00 --0.865197409E+00-0.863475153E+00-0.861807500E+00-0.860194450E+00-0.858636004E+00 --0.857132162E+00-0.855682923E+00-0.854288287E+00-0.852948255E+00-0.851662827E+00 --0.850432002E+00-0.849175796E+00-0.847906730E+00-0.846649631E+00-0.845404500E+00 --0.844171336E+00-0.843013244E+00-0.841917948E+00-0.840820158E+00-0.839719874E+00 --0.838617097E+00-0.837511826E+00-0.836404062E+00-0.835293804E+00-0.834181053E+00 --0.833065808E+00-0.831948069E+00-0.830827837E+00-0.829705112E+00-0.828579893E+00 --0.827452180E+00-0.826321973E+00-0.825189274E+00-0.824049392E+00-0.822907411E+00 --0.821766762E+00-0.820627445E+00-0.819489460E+00-0.818352807E+00-0.817180805E+00 --0.815981476E+00-0.814778970E+00-0.813573289E+00-0.812364431E+00-0.811152396E+00 --0.809937186E+00-0.808718799E+00-0.807497236E+00-0.806283643E+00-0.805062376E+00 --0.803826304E+00-0.802575427E+00-0.801309746E+00-0.800029260E+00-0.798733969E+00 --0.797423873E+00-0.796098972E+00-0.794759267E+00-0.793470870E+00-0.792226307E+00 --0.791003941E+00-0.789803772E+00-0.788625800E+00-0.787420675E+00-0.786146832E+00 --0.784881971E+00-0.783626093E+00-0.782380834E+00-0.781152081E+00-0.779928141E+00 --0.778709014E+00-0.777494700E+00-0.776285200E+00-0.775080514E+00-0.773880640E+00 --0.772685581E+00-0.771500835E+00-0.770342153E+00-0.769194963E+00-0.768059265E+00 --0.766934455E+00-0.765820650E+00-0.764718299E+00-0.763626749E+00-0.762546000E+00 --0.761476763E+00-0.760420406E+00-0.759376950E+00-0.758345821E+00-0.757325351E+00 --0.756317429E+00-0.755322068E+00-0.754338400E+00-0.753366104E+00-0.752406706E+00 --0.751460245E+00-0.750525651E+00-0.749603092E+00-0.748692665E+00-0.747794413E+00 --0.746908429E+00-0.746034715E+00-0.745172537E+00-0.744322252E+00-0.743484518E+00 --0.742659077E+00-0.741844637E+00-0.741041395E+00-0.740250182E+00-0.739470695E+00 --0.738702934E+00-0.737946899E+00-0.737202600E+00-0.736469441E+00-0.735746720E+00 --0.735035258E+00-0.734335057E+00-0.733645780E+00-0.732967172E+00-0.732299529E+00 --0.731642546E+00-0.730995486E+00-0.730358322E+00-0.729731087E+00-0.729114421E+00 --0.728508540E+00-0.727912382E+00-0.727325233E+00-0.726747094E+00-0.726178058E+00 --0.725618538E+00-0.725068543E+00-0.724528027E+00-0.723995834E+00-0.723471565E+00 --0.722955338E+00-0.722447716E+00-0.721948748E+00-0.721457754E+00-0.720973929E+00 --0.720497308E+00-0.720027860E+00-0.719565586E+00-0.719110485E+00-0.718662557E+00 --0.718221471E+00-0.717785986E+00-0.717356016E+00-0.716931405E+00-0.716512571E+00 --0.716099754E+00-0.715692953E+00-0.715290202E+00-0.714892658E+00-0.714510597E+00 --0.714146702E+00-0.713800975E+00-0.713473415E+00-0.713164023E+00-0.712872797E+00 --0.712599739E+00-0.712344847E+00-0.712111058E+00-0.711892778E+00-0.711690924E+00 --0.711509804E+00-0.711346299E+00-0.711200409E+00-0.711072134E+00-0.710961474E+00 --0.710868430E+00-0.710793000E+00-0.710734678E+00-0.710691485E+00-0.710665530E+00 --0.710656812E+00-0.710666342E+00-0.710692467E+00-0.710734975E+00-0.710793868E+00 --0.710869144E+00-0.710960804E+00-0.711068848E+00-0.711192524E+00-0.711333711E+00 --0.711491540E+00-0.711666046E+00-0.711857277E+00-0.712065233E+00-0.712289914E+00 --0.712531320E+00-0.712789451E+00-0.713064307E+00-0.713355888E+00-0.713664195E+00 --0.713989467E+00-0.714331336E+00-0.714690104E+00-0.715066346E+00-0.715460054E+00 --0.715871227E+00-0.716299866E+00-0.716745970E+00-0.717209539E+00-0.717691268E+00 --0.718191474E+00-0.718709835E+00-0.719246456E+00-0.719801553E+00-0.720374889E+00 --0.720965332E+00-0.721559083E+00-0.722156034E+00-0.722756186E+00-0.723359539E+00 --0.723966093E+00-0.724575847E+00-0.725188803E+00-0.725804959E+00-0.726424317E+00 --0.727046875E+00-0.727672634E+00-0.728301594E+00-0.728933755E+00-0.729569116E+00 --0.730207428E+00-0.730848346E+00-0.731492098E+00-0.732138685E+00-0.732788105E+00 --0.733440361E+00-0.734095450E+00-0.734753373E+00-0.735414131E+00-0.736082621E+00 --0.736758156E+00-0.737439150E+00-0.738125603E+00-0.738828779E+00-0.739542153E+00 --0.740259184E+00-0.740979872E+00-0.741704217E+00-0.742432219E+00-0.743163878E+00 --0.743899194E+00-0.744638167E+00-0.745380797E+00-0.746127084E+00-0.746878821E+00 --0.747642882E+00-0.748416822E+00-0.749200643E+00-0.749994343E+00-0.750797923E+00 --0.751611383E+00-0.752434722E+00-0.753267941E+00-0.754111040E+00-0.754964019E+00 --0.755826878E+00-0.756711630E+00-0.757625915E+00-0.758567323E+00-0.759535853E+00 --0.760531507E+00-0.761518198E+00-0.762509837E+00-0.763513847E+00-0.764530229E+00 --0.765558983E+00-0.766600107E+00-0.767653604E+00-0.768719472E+00-0.769797711E+00 --0.770888322E+00-0.771991305E+00-0.773106659E+00-0.774243148E+00-0.775397433E+00 --0.776569089E+00-0.777758116E+00-0.778964514E+00-0.780188283E+00-0.781429424E+00 --0.782687935E+00-0.783963818E+00-0.785257072E+00-0.786567697E+00-0.787895693E+00 --0.789241060E+00-0.790603799E+00-0.791983908E+00-0.793381389E+00-0.794796240E+00 --0.866255232E+00-0.864283861E+00-0.862367095E+00-0.860504932E+00-0.858697372E+00 --0.856944416E+00-0.855246063E+00-0.853602314E+00-0.852013169E+00-0.850478627E+00 --0.848998688E+00-0.847573353E+00-0.846202622E+00-0.844886494E+00-0.843624970E+00 --0.842418049E+00-0.841182748E+00-0.839954688E+00-0.838738596E+00-0.837534472E+00 --0.836342315E+00-0.835162125E+00-0.833993903E+00-0.832903118E+00-0.831832994E+00 --0.830760377E+00-0.829685267E+00-0.828607662E+00-0.827527565E+00-0.826444973E+00 --0.825359888E+00-0.824272310E+00-0.823182238E+00-0.822089673E+00-0.820994613E+00 --0.819897061E+00-0.818797645E+00-0.817701558E+00-0.816606804E+00-0.815513381E+00 --0.814421290E+00-0.813330531E+00-0.812241105E+00-0.811153010E+00-0.810062288E+00 --0.808922308E+00-0.807779152E+00-0.806632819E+00-0.805483310E+00-0.804330625E+00 --0.803174763E+00-0.802015726E+00-0.800853512E+00-0.799688121E+00-0.798519555E+00 --0.797347812E+00-0.796172678E+00-0.794986493E+00-0.793785503E+00-0.792569708E+00 --0.791339108E+00-0.790093703E+00-0.788833494E+00-0.787589043E+00-0.786435189E+00 --0.785303532E+00-0.784194072E+00-0.783022034E+00-0.781802194E+00-0.780591337E+00 --0.779401400E+00-0.778223057E+00-0.777049528E+00-0.775880812E+00-0.774716909E+00 --0.773557820E+00-0.772403544E+00-0.771254082E+00-0.770109433E+00-0.768969597E+00 --0.767834575E+00-0.766704366E+00-0.765596545E+00-0.764500424E+00-0.763414479E+00 --0.762339146E+00-0.761274334E+00-0.760219686E+00-0.759175839E+00-0.758142792E+00 --0.757120547E+00-0.756109101E+00-0.755109750E+00-0.754122345E+00-0.753144384E+00 --0.752178667E+00-0.751224127E+00-0.750280764E+00-0.749348580E+00-0.748427573E+00 --0.747518982E+00-0.746620858E+00-0.745735317E+00-0.744860953E+00-0.743997767E+00 --0.743145758E+00-0.742305222E+00-0.741476796E+00-0.740658939E+00-0.739853253E+00 --0.739058515E+00-0.738274724E+00-0.737501881E+00-0.736739986E+00-0.735989086E+00 --0.735249816E+00-0.734521812E+00-0.733804299E+00-0.733097271E+00-0.732400728E+00 --0.731714671E+00-0.731039603E+00-0.730373857E+00-0.729719766E+00-0.729075570E+00 --0.728441269E+00-0.727816864E+00-0.727202354E+00-0.726597693E+00-0.726002078E+00 --0.725416722E+00-0.724840376E+00-0.724273040E+00-0.723714713E+00-0.723165397E+00 --0.722624915E+00-0.722093062E+00-0.721570290E+00-0.721055441E+00-0.720548515E+00 --0.720049511E+00-0.719558431E+00-0.719075363E+00-0.718599912E+00-0.718131866E+00 --0.717670739E+00-0.717216185E+00-0.716768203E+00-0.716326872E+00-0.715892732E+00 --0.715464880E+00-0.715042542E+00-0.714625719E+00-0.714214409E+00-0.713808467E+00 --0.713407002E+00-0.713011279E+00-0.712620409E+00-0.712234622E+00-0.711862858E+00 --0.711509261E+00-0.711173832E+00-0.710856569E+00-0.710557474E+00-0.710276546E+00 --0.710013621E+00-0.709768735E+00-0.709542119E+00-0.709334236E+00-0.709145470E+00 --0.708973495E+00-0.708818240E+00-0.708680015E+00-0.708559405E+00-0.708456411E+00 --0.708371032E+00-0.708303268E+00-0.708253119E+00-0.708216702E+00-0.708196980E+00 --0.708196654E+00-0.708213101E+00-0.708245933E+00-0.708295148E+00-0.708360747E+00 --0.708442626E+00-0.708540963E+00-0.708655929E+00-0.708787622E+00-0.708935545E+00 --0.709099342E+00-0.709279701E+00-0.709476785E+00-0.709690594E+00-0.709921129E+00 --0.710168388E+00-0.710432373E+00-0.710713082E+00-0.711010517E+00-0.711324852E+00 --0.711655793E+00-0.712003326E+00-0.712367509E+00-0.712749023E+00-0.713148002E+00 --0.713564447E+00-0.713998357E+00-0.714449732E+00-0.714918646E+00-0.715405660E+00 --0.715910829E+00-0.716434154E+00-0.716975634E+00-0.717535268E+00-0.718114394E+00 --0.718710782E+00-0.719310881E+00-0.719914182E+00-0.720520683E+00-0.721130385E+00 --0.721743288E+00-0.722359392E+00-0.722978697E+00-0.723601203E+00-0.724226926E+00 --0.724855538E+00-0.725486984E+00-0.726121265E+00-0.726758380E+00-0.727398328E+00 --0.728041112E+00-0.728686729E+00-0.729335181E+00-0.729986467E+00-0.730640587E+00 --0.731297541E+00-0.731957330E+00-0.732619953E+00-0.733289120E+00-0.733964654E+00 --0.734645647E+00-0.735332100E+00-0.736024012E+00-0.736721383E+00-0.737429215E+00 --0.738159001E+00-0.738892445E+00-0.739629545E+00-0.740370302E+00-0.741114717E+00 --0.741862788E+00-0.742614516E+00-0.743369902E+00-0.744128944E+00-0.744891008E+00 --0.745662150E+00-0.746443171E+00-0.747234072E+00-0.748034853E+00-0.748845513E+00 --0.749666054E+00-0.750496474E+00-0.751336774E+00-0.752186953E+00-0.753047013E+00 --0.753916952E+00-0.754802289E+00-0.755728835E+00-0.756682504E+00-0.757663295E+00 --0.758656181E+00-0.759632071E+00-0.760620334E+00-0.761620967E+00-0.762633973E+00 --0.763659349E+00-0.764697098E+00-0.765747218E+00-0.766809709E+00-0.767884572E+00 --0.768971807E+00-0.770071413E+00-0.771183390E+00-0.772307741E+00-0.773447948E+00 --0.774605527E+00-0.775780476E+00-0.776972797E+00-0.778182489E+00-0.779409552E+00 --0.780653986E+00-0.781915791E+00-0.783194968E+00-0.784491515E+00-0.785805434E+00 --0.787136724E+00-0.788485385E+00-0.789851417E+00-0.791234820E+00-0.792635594E+00 --0.857756231E+00-0.855808765E+00-0.853915902E+00-0.852077643E+00-0.850293988E+00 --0.848564936E+00-0.846890487E+00-0.845270642E+00-0.843705401E+00-0.842194763E+00 --0.840738728E+00-0.839337297E+00-0.837990470E+00-0.836698246E+00-0.835460625E+00 --0.834271194E+00-0.833072174E+00-0.831885122E+00-0.830710037E+00-0.829546919E+00 --0.828395769E+00-0.827256586E+00-0.826129371E+00-0.825014123E+00-0.823910963E+00 --0.822868506E+00-0.821823556E+00-0.820776112E+00-0.819726174E+00-0.818673743E+00 --0.817618818E+00-0.816561400E+00-0.815501488E+00-0.814439082E+00-0.813374183E+00 --0.812318639E+00-0.811269779E+00-0.810222250E+00-0.809176054E+00-0.808131189E+00 --0.807087657E+00-0.806045457E+00-0.805004588E+00-0.803965052E+00-0.802926847E+00 --0.801865008E+00-0.800781200E+00-0.799694217E+00-0.798604057E+00-0.797510721E+00 --0.796414208E+00-0.795314520E+00-0.794211655E+00-0.793105613E+00-0.791996396E+00 --0.790884002E+00-0.789768432E+00-0.788649686E+00-0.787527763E+00-0.786402664E+00 --0.785258508E+00-0.784092599E+00-0.782911886E+00-0.781716368E+00-0.780631305E+00 --0.779590357E+00-0.778445865E+00-0.777284904E+00-0.776152159E+00-0.775024227E+00 --0.773901109E+00-0.772782804E+00-0.771669312E+00-0.770560634E+00-0.769456769E+00 --0.768357718E+00-0.767263965E+00-0.766174928E+00-0.765089687E+00-0.764008244E+00 --0.762930597E+00-0.761856748E+00-0.760801087E+00-0.759757668E+00-0.758722532E+00 --0.757697558E+00-0.756682091E+00-0.755675998E+00-0.754679178E+00-0.753692878E+00 --0.752717378E+00-0.751752547E+00-0.750797200E+00-0.749851339E+00-0.748917148E+00 --0.747992090E+00-0.747078014E+00-0.746175115E+00-0.745283395E+00-0.744401888E+00 --0.743530146E+00-0.742670810E+00-0.741820963E+00-0.740982069E+00-0.740154352E+00 --0.739337812E+00-0.738531699E+00-0.737735265E+00-0.736951252E+00-0.736176717E+00 --0.735412890E+00-0.734660011E+00-0.733918079E+00-0.733186607E+00-0.732464601E+00 --0.731754419E+00-0.731053598E+00-0.730363057E+00-0.729683001E+00-0.729013429E+00 --0.728354106E+00-0.727703649E+00-0.727064114E+00-0.726433584E+00-0.725812734E+00 --0.725201779E+00-0.724600720E+00-0.724009534E+00-0.723426403E+00-0.722853231E+00 --0.722288403E+00-0.721732532E+00-0.721185671E+00-0.720647819E+00-0.720118977E+00 --0.719597555E+00-0.719085137E+00-0.718580418E+00-0.718083391E+00-0.717594302E+00 --0.717113134E+00-0.716639681E+00-0.716173361E+00-0.715714205E+00-0.715262170E+00 --0.714816783E+00-0.714377969E+00-0.713945339E+00-0.713518986E+00-0.713098996E+00 --0.712684786E+00-0.712276236E+00-0.711873200E+00-0.711475678E+00-0.711082957E+00 --0.710695226E+00-0.710312377E+00-0.709933673E+00-0.709559644E+00-0.709198177E+00 --0.708854980E+00-0.708530155E+00-0.708223599E+00-0.707935313E+00-0.707665298E+00 --0.707413553E+00-0.707180078E+00-0.706964873E+00-0.706768157E+00-0.706589255E+00 --0.706427145E+00-0.706281826E+00-0.706153298E+00-0.706041561E+00-0.705946614E+00 --0.705868459E+00-0.705808137E+00-0.705765654E+00-0.705737445E+00-0.705727260E+00 --0.705734031E+00-0.705756879E+00-0.705796357E+00-0.705852465E+00-0.705925203E+00 --0.706014572E+00-0.706120571E+00-0.706243185E+00-0.706381852E+00-0.706536676E+00 --0.706707654E+00-0.706894788E+00-0.707098078E+00-0.707317743E+00-0.707554131E+00 --0.707807243E+00-0.708077081E+00-0.708363644E+00-0.708667047E+00-0.708987058E+00 --0.709323663E+00-0.709676861E+00-0.710046651E+00-0.710433421E+00-0.710837672E+00 --0.711259388E+00-0.711698569E+00-0.712155216E+00-0.712629076E+00-0.713121053E+00 --0.713631185E+00-0.714159473E+00-0.714705915E+00-0.715270513E+00-0.715853266E+00 --0.716454650E+00-0.717061099E+00-0.717670778E+00-0.718284250E+00-0.718900556E+00 --0.719519696E+00-0.720141670E+00-0.720766479E+00-0.721394122E+00-0.722024599E+00 --0.722657910E+00-0.723294055E+00-0.723933035E+00-0.724574849E+00-0.725219498E+00 --0.725866980E+00-0.726517297E+00-0.727170448E+00-0.727826433E+00-0.728485253E+00 --0.729146906E+00-0.729811394E+00-0.730481100E+00-0.731156634E+00-0.731837627E+00 --0.732524079E+00-0.733215990E+00-0.733913361E+00-0.734616191E+00-0.735324480E+00 --0.736038229E+00-0.736778842E+00-0.737528698E+00-0.738282210E+00-0.739039380E+00 --0.739800207E+00-0.740564690E+00-0.741332831E+00-0.742101123E+00-0.742869465E+00 --0.743647687E+00-0.744435789E+00-0.745233771E+00-0.746041632E+00-0.746859373E+00 --0.747686994E+00-0.748524495E+00-0.749371875E+00-0.750229136E+00-0.751096275E+00 --0.751973295E+00-0.752860195E+00-0.753788508E+00-0.754754438E+00-0.755747490E+00 --0.756718218E+00-0.757690732E+00-0.758675618E+00-0.759672875E+00-0.760682504E+00 --0.761704504E+00-0.762738876E+00-0.763785619E+00-0.764844734E+00-0.765916221E+00 --0.767000079E+00-0.768096308E+00-0.769204910E+00-0.770325882E+00-0.771453425E+00 --0.772596926E+00-0.773757798E+00-0.774936041E+00-0.776131656E+00-0.777344641E+00 --0.778574998E+00-0.779822726E+00-0.781087825E+00-0.782370295E+00-0.783670136E+00 --0.784987348E+00-0.786321932E+00-0.787671197E+00-0.789006390E+00-0.790352676E+00 --0.849169399E+00-0.847207181E+00-0.845338223E+00-0.843523868E+00-0.841764116E+00 --0.840058968E+00-0.838408424E+00-0.836812483E+00-0.835271145E+00-0.833784411E+00 --0.832352281E+00-0.830974754E+00-0.829651830E+00-0.828383510E+00-0.827169794E+00 --0.826002089E+00-0.824844076E+00-0.823698030E+00-0.822563952E+00-0.821441841E+00 --0.820331698E+00-0.819233522E+00-0.818147313E+00-0.817073072E+00-0.816010799E+00 --0.814960492E+00-0.813926694E+00-0.812909410E+00-0.811889632E+00-0.810867361E+00 --0.809842597E+00-0.808815338E+00-0.807785587E+00-0.806758653E+00-0.805755687E+00 --0.804754053E+00-0.803753751E+00-0.802754781E+00-0.801757143E+00-0.800760837E+00 --0.799765862E+00-0.798772220E+00-0.797779910E+00-0.796788932E+00-0.795799286E+00 --0.794809575E+00-0.793785116E+00-0.792757482E+00-0.791726671E+00-0.790692684E+00 --0.789655520E+00-0.788615181E+00-0.787571665E+00-0.786524973E+00-0.785475104E+00 --0.784422060E+00-0.783365839E+00-0.782306441E+00-0.781243868E+00-0.780178118E+00 --0.779109192E+00-0.778037089E+00-0.776961811E+00-0.775878420E+00-0.774812984E+00 --0.773715447E+00-0.772633449E+00-0.771562421E+00-0.770495189E+00-0.769431755E+00 --0.768372117E+00-0.767316277E+00-0.766264233E+00-0.765215987E+00-0.764171538E+00 --0.763130885E+00-0.762094030E+00-0.761060971E+00-0.760031710E+00-0.759006246E+00 --0.757984578E+00-0.756966708E+00-0.755963566E+00-0.754972047E+00-0.753989200E+00 --0.753014857E+00-0.752047922E+00-0.751090006E+00-0.750141185E+00-0.749201945E+00 --0.748273244E+00-0.747352248E+00-0.746440539E+00-0.745538148E+00-0.744645315E+00 --0.743762721E+00-0.742890374E+00-0.742028426E+00-0.741175717E+00-0.740332788E+00 --0.739499638E+00-0.738676700E+00-0.737864226E+00-0.737062055E+00-0.736270195E+00 --0.735487988E+00-0.734715712E+00-0.733953368E+00-0.733201339E+00-0.732459529E+00 --0.731727800E+00-0.731006119E+00-0.730294299E+00-0.729592386E+00-0.728900379E+00 --0.728218618E+00-0.727546572E+00-0.726884116E+00-0.726231296E+00-0.725588113E+00 --0.724954478E+00-0.724330389E+00-0.723716082E+00-0.723110848E+00-0.722514613E+00 --0.721927528E+00-0.721349600E+00-0.720780766E+00-0.720221026E+00-0.719670245E+00 --0.719127589E+00-0.718593013E+00-0.718067057E+00-0.717549492E+00-0.717040229E+00 --0.716539280E+00-0.716046533E+00-0.715561213E+00-0.715083319E+00-0.714612311E+00 --0.714148949E+00-0.713693037E+00-0.713244200E+00-0.712802419E+00-0.712366751E+00 --0.711937406E+00-0.711514463E+00-0.711097922E+00-0.710687783E+00-0.710283512E+00 --0.709884239E+00-0.709490006E+00-0.709101156E+00-0.708717333E+00-0.708338614E+00 --0.707964855E+00-0.707595329E+00-0.707229936E+00-0.706867572E+00-0.706520050E+00 --0.706189472E+00-0.705876058E+00-0.705580913E+00-0.705304039E+00-0.705045435E+00 --0.704805101E+00-0.704583037E+00-0.704379244E+00-0.704193426E+00-0.704024389E+00 --0.703872144E+00-0.703736689E+00-0.703618026E+00-0.703516153E+00-0.703431072E+00 --0.703362781E+00-0.703311281E+00-0.703275241E+00-0.703256797E+00-0.703254718E+00 --0.703268598E+00-0.703299108E+00-0.703346249E+00-0.703410020E+00-0.703490422E+00 --0.703587454E+00-0.703701116E+00-0.703831088E+00-0.703976656E+00-0.704138379E+00 --0.704316257E+00-0.704510291E+00-0.704720481E+00-0.704946826E+00-0.705189327E+00 --0.705447983E+00-0.705723576E+00-0.706016050E+00-0.706325133E+00-0.706650809E+00 --0.706993078E+00-0.707351940E+00-0.707727395E+00-0.708119540E+00-0.708529063E+00 --0.708956050E+00-0.709400503E+00-0.709861720E+00-0.710340505E+00-0.710837446E+00 --0.711352541E+00-0.711885792E+00-0.712437197E+00-0.713006758E+00-0.713594516E+00 --0.714199412E+00-0.714811890E+00-0.715427582E+00-0.716045911E+00-0.716666916E+00 --0.717290755E+00-0.717917429E+00-0.718546937E+00-0.719179279E+00-0.719814455E+00 --0.720452466E+00-0.721093311E+00-0.721736990E+00-0.722383503E+00-0.723032851E+00 --0.723685033E+00-0.724340049E+00-0.724997899E+00-0.725658584E+00-0.726322102E+00 --0.726988455E+00-0.727658563E+00-0.728334096E+00-0.729015088E+00-0.729701540E+00 --0.730393451E+00-0.731090821E+00-0.731793650E+00-0.732501939E+00-0.733215687E+00 --0.733934895E+00-0.734659561E+00-0.735401675E+00-0.736167943E+00-0.736937868E+00 --0.737711450E+00-0.738488689E+00-0.739269585E+00-0.740038769E+00-0.740814192E+00 --0.741599495E+00-0.742394677E+00-0.743199739E+00-0.744014681E+00-0.744839503E+00 --0.745674204E+00-0.746518786E+00-0.747373247E+00-0.748237587E+00-0.749111808E+00 --0.749995908E+00-0.750889888E+00-0.751804934E+00-0.752783125E+00-0.753768277E+00 --0.754725044E+00-0.755694181E+00-0.756675690E+00-0.757669571E+00-0.758675823E+00 --0.759694447E+00-0.760725442E+00-0.761768809E+00-0.762824548E+00-0.763892658E+00 --0.764973139E+00-0.766065992E+00-0.767171217E+00-0.768288813E+00-0.769413862E+00 --0.770543286E+00-0.771690081E+00-0.772854246E+00-0.774035783E+00-0.775234691E+00 --0.776450971E+00-0.777684621E+00-0.778935643E+00-0.780204035E+00-0.781489799E+00 --0.782785908E+00-0.784083018E+00-0.785391222E+00-0.786710519E+00-0.788040911E+00 --0.840405922E+00-0.838498653E+00-0.836645644E+00-0.834846895E+00-0.833107758E+00 --0.831426514E+00-0.829799873E+00-0.828227836E+00-0.826710403E+00-0.825247573E+00 --0.823839346E+00-0.822485723E+00-0.821186704E+00-0.819942288E+00-0.818752476E+00 --0.817615458E+00-0.816498452E+00-0.815393413E+00-0.814300342E+00-0.813219238E+00 --0.812150101E+00-0.811092932E+00-0.810047731E+00-0.809014496E+00-0.807993230E+00 --0.806983930E+00-0.805986599E+00-0.805001234E+00-0.804017940E+00-0.803025829E+00 --0.802031224E+00-0.801034126E+00-0.800064528E+00-0.799108789E+00-0.798154381E+00 --0.797201305E+00-0.796249561E+00-0.795299150E+00-0.794350070E+00-0.793402322E+00 --0.792455906E+00-0.791510822E+00-0.790567071E+00-0.789624651E+00-0.788683563E+00 --0.787743807E+00-0.786790900E+00-0.785822614E+00-0.784851152E+00-0.783876514E+00 --0.782898700E+00-0.781917709E+00-0.780933543E+00-0.779946199E+00-0.778955680E+00 --0.777961984E+00-0.776965112E+00-0.775965064E+00-0.774961840E+00-0.773955439E+00 --0.772945862E+00-0.771934915E+00-0.770923256E+00-0.769908440E+00-0.768890455E+00 --0.767871269E+00-0.766855753E+00-0.765843908E+00-0.764835733E+00-0.763831228E+00 --0.762830394E+00-0.761833231E+00-0.760837362E+00-0.759845095E+00-0.758856625E+00 --0.757871951E+00-0.756891075E+00-0.755913996E+00-0.754940714E+00-0.753971229E+00 --0.753005540E+00-0.752043649E+00-0.751093026E+00-0.750152903E+00-0.749220634E+00 --0.748295096E+00-0.747376282E+00-0.746465193E+00-0.745563567E+00-0.744671765E+00 --0.743788193E+00-0.742912097E+00-0.742043475E+00-0.741184317E+00-0.740334871E+00 --0.739493624E+00-0.738662853E+00-0.737840888E+00-0.737027344E+00-0.736222436E+00 --0.735427968E+00-0.734642997E+00-0.733867083E+00-0.733102222E+00-0.732346147E+00 --0.731598440E+00-0.730859674E+00-0.730131419E+00-0.729412496E+00-0.728702785E+00 --0.728003787E+00-0.727313600E+00-0.726631995E+00-0.725959743E+00-0.725297735E+00 --0.724644901E+00-0.724001281E+00-0.723368005E+00-0.722743099E+00-0.722126358E+00 --0.721518901E+00-0.720921180E+00-0.720332181E+00-0.719752063E+00-0.719181529E+00 --0.718619127E+00-0.718064752E+00-0.717519270E+00-0.716982886E+00-0.716454310E+00 --0.715933942E+00-0.715422081E+00-0.714917498E+00-0.714420462E+00-0.713931732E+00 --0.713451136E+00-0.712977787E+00-0.712512502E+00-0.712054367E+00-0.711602895E+00 --0.711158086E+00-0.710720216E+00-0.710289452E+00-0.709865886E+00-0.709447921E+00 --0.709035530E+00-0.708628863E+00-0.708228536E+00-0.707834611E+00-0.707445830E+00 --0.707062049E+00-0.706683786E+00-0.706310106E+00-0.705941013E+00-0.705576930E+00 --0.705217143E+00-0.704860988E+00-0.704508977E+00-0.704161171E+00-0.703827500E+00 --0.703510991E+00-0.703211641E+00-0.702929453E+00-0.702664381E+00-0.702417188E+00 --0.702188265E+00-0.701977613E+00-0.701785231E+00-0.701610043E+00-0.701450871E+00 --0.701308491E+00-0.701182901E+00-0.701074102E+00-0.700982062E+00-0.700906617E+00 --0.700847915E+00-0.700805956E+00-0.700780740E+00-0.700772853E+00-0.700780553E+00 --0.700803688E+00-0.700842274E+00-0.700897077E+00-0.700968512E+00-0.701056577E+00 --0.701161272E+00-0.701282598E+00-0.701419564E+00-0.701572032E+00-0.701740654E+00 --0.701925433E+00-0.702126367E+00-0.702343456E+00-0.702576701E+00-0.702825364E+00 --0.703089616E+00-0.703370795E+00-0.703669710E+00-0.703984765E+00-0.704316105E+00 --0.704664038E+00-0.705028564E+00-0.705409683E+00-0.705807396E+00-0.706222176E+00 --0.706654435E+00-0.707103594E+00-0.707569187E+00-0.708052935E+00-0.708554839E+00 --0.709074897E+00-0.709613666E+00-0.710170347E+00-0.710744435E+00-0.711335927E+00 --0.711944418E+00-0.712559879E+00-0.713178555E+00-0.713800445E+00-0.714425550E+00 --0.715053869E+00-0.715685372E+00-0.716319579E+00-0.716956620E+00-0.717596496E+00 --0.718239206E+00-0.718884750E+00-0.719533129E+00-0.720184341E+00-0.720838388E+00 --0.721495269E+00-0.722154985E+00-0.722817534E+00-0.723482918E+00-0.724151136E+00 --0.724821508E+00-0.725497040E+00-0.726178032E+00-0.726864483E+00-0.727556393E+00 --0.728253763E+00-0.728956592E+00-0.729664880E+00-0.730378627E+00-0.731097834E+00 --0.731822500E+00-0.732552626E+00-0.733288211E+00-0.734029255E+00-0.734810181E+00 --0.735596518E+00-0.736386512E+00-0.737170061E+00-0.737942684E+00-0.738725188E+00 --0.739517571E+00-0.740319834E+00-0.741131977E+00-0.741954000E+00-0.742785902E+00 --0.743627684E+00-0.744479346E+00-0.745340887E+00-0.746212309E+00-0.747093610E+00 --0.747984791E+00-0.748885851E+00-0.749796792E+00-0.750768565E+00-0.751723267E+00 --0.752676657E+00-0.753642418E+00-0.754620551E+00-0.755611055E+00-0.756613931E+00 --0.757629178E+00-0.758656797E+00-0.759696787E+00-0.760749149E+00-0.761813883E+00 --0.762890988E+00-0.763980464E+00-0.765082312E+00-0.766196532E+00-0.767323123E+00 --0.768444607E+00-0.769577324E+00-0.770727413E+00-0.771894872E+00-0.773079703E+00 --0.774281904E+00-0.775501477E+00-0.776738421E+00-0.777987885E+00-0.779246913E+00 --0.780517034E+00-0.781798249E+00-0.783090558E+00-0.784393961E+00-0.785708458E+00 --0.831364663E+00-0.829513154E+00-0.827715905E+00-0.825972916E+00-0.824284187E+00 --0.822649719E+00-0.821064835E+00-0.819516703E+00-0.818023173E+00-0.816584247E+00 --0.815199925E+00-0.813870206E+00-0.812595090E+00-0.811374579E+00-0.810208670E+00 --0.809111303E+00-0.808035303E+00-0.806971271E+00-0.805919207E+00-0.804879110E+00 --0.803850980E+00-0.802834818E+00-0.801830623E+00-0.800838396E+00-0.799858136E+00 --0.798889843E+00-0.797933518E+00-0.796989161E+00-0.796056771E+00-0.795136348E+00 --0.794196303E+00-0.793286458E+00-0.792377944E+00-0.791470763E+00-0.790564913E+00 --0.789660396E+00-0.788757211E+00-0.787855357E+00-0.786954836E+00-0.786055646E+00 --0.785157789E+00-0.784261263E+00-0.783366070E+00-0.782472208E+00-0.781579678E+00 --0.780688481E+00-0.779798550E+00-0.778889614E+00-0.777977501E+00-0.777062212E+00 --0.776143747E+00-0.775222105E+00-0.774297288E+00-0.773369293E+00-0.772438123E+00 --0.771503776E+00-0.770566254E+00-0.769627001E+00-0.768685979E+00-0.767741799E+00 --0.766794464E+00-0.765843971E+00-0.764890322E+00-0.763933516E+00-0.762973554E+00 --0.762010738E+00-0.761050526E+00-0.760093984E+00-0.759141112E+00-0.758191911E+00 --0.757246380E+00-0.756304520E+00-0.755366330E+00-0.754431811E+00-0.753500962E+00 --0.752573784E+00-0.751650276E+00-0.750730439E+00-0.749814272E+00-0.748901776E+00 --0.747992950E+00-0.747087572E+00-0.746189481E+00-0.745299163E+00-0.744415570E+00 --0.743538701E+00-0.742668557E+00-0.741805137E+00-0.740949026E+00-0.740103109E+00 --0.739264667E+00-0.738433700E+00-0.737610208E+00-0.736794192E+00-0.735985650E+00 --0.735186079E+00-0.734395567E+00-0.733613477E+00-0.732839808E+00-0.732074561E+00 --0.731317735E+00-0.730569330E+00-0.729831729E+00-0.729102918E+00-0.728382475E+00 --0.727670400E+00-0.726966692E+00-0.726271353E+00-0.725584842E+00-0.724908835E+00 --0.724241410E+00-0.723582568E+00-0.722932307E+00-0.722290629E+00-0.721657533E+00 --0.721034291E+00-0.720420861E+00-0.719815597E+00-0.719218499E+00-0.718629568E+00 --0.718048804E+00-0.717476206E+00-0.716913865E+00-0.716360124E+00-0.715814411E+00 --0.715276725E+00-0.714747067E+00-0.714225437E+00-0.713711887E+00-0.713207347E+00 --0.712710085E+00-0.712220102E+00-0.711737397E+00-0.711261971E+00-0.710793823E+00 --0.710333834E+00-0.709881927E+00-0.709436684E+00-0.708998104E+00-0.708566187E+00 --0.708140934E+00-0.707722345E+00-0.707310647E+00-0.706904825E+00-0.706504576E+00 --0.706109900E+00-0.705720797E+00-0.705337267E+00-0.704959371E+00-0.704587649E+00 --0.704220511E+00-0.703857957E+00-0.703499987E+00-0.703146601E+00-0.702797799E+00 --0.702452969E+00-0.702111887E+00-0.701774623E+00-0.701441459E+00-0.701121640E+00 --0.700818982E+00-0.700533485E+00-0.700265148E+00-0.700013971E+00-0.699779956E+00 --0.699563101E+00-0.699363804E+00-0.699182834E+00-0.699018008E+00-0.698868701E+00 --0.698736601E+00-0.698621872E+00-0.698523887E+00-0.698442645E+00-0.698378146E+00 --0.698330390E+00-0.698299377E+00-0.698285153E+00-0.698287044E+00-0.698304371E+00 --0.698337132E+00-0.698385328E+00-0.698448959E+00-0.698528025E+00-0.698623668E+00 --0.698736026E+00-0.698865015E+00-0.699008613E+00-0.699167980E+00-0.699343503E+00 --0.699535179E+00-0.699742798E+00-0.699966360E+00-0.700205868E+00-0.700461320E+00 --0.700732716E+00-0.701020990E+00-0.701325762E+00-0.701646684E+00-0.701983756E+00 --0.702336978E+00-0.702706733E+00-0.703093517E+00-0.703496893E+00-0.703917010E+00 --0.704354541E+00-0.704807098E+00-0.705277654E+00-0.705766871E+00-0.706275040E+00 --0.706800616E+00-0.707343597E+00-0.707903984E+00-0.708481777E+00-0.709076975E+00 --0.709689061E+00-0.710307506E+00-0.710929165E+00-0.711554038E+00-0.712182127E+00 --0.712813429E+00-0.713447947E+00-0.714085679E+00-0.714726625E+00-0.715370787E+00 --0.716018130E+00-0.716668374E+00-0.717321452E+00-0.717977364E+00-0.718636110E+00 --0.719297690E+00-0.719962105E+00-0.720629354E+00-0.721299437E+00-0.721969935E+00 --0.722645467E+00-0.723326458E+00-0.724012908E+00-0.724704818E+00-0.725402187E+00 --0.726105015E+00-0.726813303E+00-0.727527050E+00-0.728246256E+00-0.728970922E+00 --0.729701046E+00-0.730436631E+00-0.731177674E+00-0.731924177E+00-0.732676139E+00 --0.733455411E+00-0.734258161E+00-0.735033165E+00-0.735812870E+00-0.736602454E+00 --0.737401917E+00-0.738211261E+00-0.739030484E+00-0.739859588E+00-0.740698570E+00 --0.741547433E+00-0.742406176E+00-0.743274798E+00-0.744153300E+00-0.745041681E+00 --0.745939943E+00-0.746847955E+00-0.747763676E+00-0.748689067E+00-0.749623046E+00 --0.750573059E+00-0.751535443E+00-0.752510199E+00-0.753497327E+00-0.754496826E+00 --0.755508697E+00-0.756532939E+00-0.757569553E+00-0.758618539E+00-0.759679896E+00 --0.760753624E+00-0.761839724E+00-0.762938196E+00-0.764049039E+00-0.765172254E+00 --0.766300889E+00-0.767419529E+00-0.768555540E+00-0.769708922E+00-0.770879675E+00 --0.772067799E+00-0.773277129E+00-0.774498074E+00-0.775730113E+00-0.776973246E+00 --0.778227472E+00-0.779492793E+00-0.780769207E+00-0.782056715E+00-0.783355317E+00 --0.822045621E+00-0.820249872E+00-0.818508384E+00-0.816821155E+00-0.815188187E+00 --0.813609478E+00-0.812085030E+00-0.810614842E+00-0.809198913E+00-0.807794434E+00 --0.806434016E+00-0.805128201E+00-0.803876990E+00-0.802680382E+00-0.801538378E+00 --0.800489622E+00-0.799454629E+00-0.798431604E+00-0.797420547E+00-0.796421456E+00 --0.795434334E+00-0.794459178E+00-0.793495990E+00-0.792544770E+00-0.791605517E+00 --0.790678231E+00-0.789782796E+00-0.788913750E+00-0.788067589E+00-0.787232065E+00 --0.786327477E+00-0.785456933E+00-0.784621744E+00-0.783785452E+00-0.782948057E+00 --0.782109560E+00-0.781269960E+00-0.780423403E+00-0.779571440E+00-0.778720809E+00 --0.777871510E+00-0.777023542E+00-0.776176907E+00-0.775331604E+00-0.774487632E+00 --0.773644993E+00-0.772803686E+00-0.771958481E+00-0.771105717E+00-0.770249777E+00 --0.769390661E+00-0.768528369E+00-0.767662900E+00-0.766795100E+00-0.765924714E+00 --0.765051171E+00-0.764174472E+00-0.763294616E+00-0.762411603E+00-0.761525434E+00 --0.760636108E+00-0.759743626E+00-0.758847987E+00-0.757949191E+00-0.757047239E+00 --0.756141875E+00-0.755236966E+00-0.754335727E+00-0.753438159E+00-0.752544261E+00 --0.751654033E+00-0.750767476E+00-0.749884590E+00-0.749005374E+00-0.748129829E+00 --0.747257954E+00-0.746389749E+00-0.745525215E+00-0.744664351E+00-0.743807158E+00 --0.742953047E+00-0.742100056E+00-0.741249289E+00-0.740407186E+00-0.739571808E+00 --0.738743155E+00-0.737921226E+00-0.737106022E+00-0.736297637E+00-0.735496648E+00 --0.734703135E+00-0.733917096E+00-0.733138533E+00-0.732367304E+00-0.731601233E+00 --0.730840160E+00-0.730088430E+00-0.729345540E+00-0.728611073E+00-0.727885026E+00 --0.727167401E+00-0.726458245E+00-0.725757565E+00-0.725065253E+00-0.724381308E+00 --0.723705731E+00-0.723038522E+00-0.722376570E+00-0.721719542E+00-0.721073075E+00 --0.720437077E+00-0.719809661E+00-0.719190827E+00-0.718580575E+00-0.717978905E+00 --0.717386520E+00-0.716802406E+00-0.716226458E+00-0.715658677E+00-0.715099062E+00 --0.714547220E+00-0.713998644E+00-0.713458364E+00-0.712930102E+00-0.712409867E+00 --0.711897660E+00-0.711393481E+00-0.710897329E+00-0.710409723E+00-0.709928252E+00 --0.709453001E+00-0.708985174E+00-0.708524626E+00-0.708071356E+00-0.707625364E+00 --0.707186652E+00-0.706755392E+00-0.706330795E+00-0.705912862E+00-0.705501593E+00 --0.705096987E+00-0.704699064E+00-0.704307139E+00-0.703920787E+00-0.703540008E+00 --0.703164802E+00-0.702795170E+00-0.702429622E+00-0.702067565E+00-0.701709676E+00 --0.701358340E+00-0.701012744E+00-0.700671732E+00-0.700335305E+00-0.700003462E+00 --0.699674890E+00-0.699349372E+00-0.699026961E+00-0.698708435E+00-0.698402468E+00 --0.698113662E+00-0.697842017E+00-0.697587532E+00-0.697350289E+00-0.697130555E+00 --0.696928178E+00-0.696743157E+00-0.696573224E+00-0.696420185E+00-0.696283739E+00 --0.696163214E+00-0.696059432E+00-0.695972393E+00-0.695902097E+00-0.695848544E+00 --0.695811734E+00-0.695791667E+00-0.695787856E+00-0.695799373E+00-0.695826325E+00 --0.695868712E+00-0.695926534E+00-0.695999791E+00-0.696088483E+00-0.696192609E+00 --0.696312171E+00-0.696448123E+00-0.696598549E+00-0.696765479E+00-0.696948352E+00 --0.697147170E+00-0.697361933E+00-0.697592640E+00-0.697839291E+00-0.698101887E+00 --0.698380422E+00-0.698674900E+00-0.698985529E+00-0.699312307E+00-0.699655236E+00 --0.700014314E+00-0.700389543E+00-0.700780922E+00-0.701188450E+00-0.701613569E+00 --0.702054238E+00-0.702513789E+00-0.702990853E+00-0.703485322E+00-0.703997198E+00 --0.704526479E+00-0.705073165E+00-0.705637258E+00-0.706218756E+00-0.706817660E+00 --0.707433341E+00-0.708054769E+00-0.708679411E+00-0.709307268E+00-0.709938340E+00 --0.710572626E+00-0.711210127E+00-0.711850843E+00-0.712494773E+00-0.713141917E+00 --0.713792277E+00-0.714445850E+00-0.715102639E+00-0.715762642E+00-0.716426016E+00 --0.717092295E+00-0.717761409E+00-0.718433358E+00-0.719103844E+00-0.719779375E+00 --0.720460366E+00-0.721146815E+00-0.721838724E+00-0.722536093E+00-0.723238921E+00 --0.723947208E+00-0.724660954E+00-0.725380160E+00-0.726104825E+00-0.726834949E+00 --0.727570533E+00-0.728311576E+00-0.729058078E+00-0.729809825E+00-0.730565960E+00 --0.731327269E+00-0.732098965E+00-0.732878936E+00-0.733667978E+00-0.734466092E+00 --0.735273277E+00-0.736089534E+00-0.736914862E+00-0.737749261E+00-0.738592732E+00 --0.739445274E+00-0.740306887E+00-0.741177572E+00-0.742057328E+00-0.742946156E+00 --0.743844054E+00-0.744751025E+00-0.745668096E+00-0.746599515E+00-0.747532356E+00 --0.748472263E+00-0.749424387E+00-0.750388728E+00-0.751365286E+00-0.752354062E+00 --0.753355055E+00-0.754368266E+00-0.755393693E+00-0.756432716E+00-0.757490697E+00 --0.758561049E+00-0.759643772E+00-0.760738867E+00-0.761846334E+00-0.762966172E+00 --0.764098382E+00-0.765216694E+00-0.766338628E+00-0.767481870E+00-0.768653639E+00 --0.769836502E+00-0.771030458E+00-0.772235508E+00-0.773451652E+00-0.774678890E+00 --0.775917222E+00-0.777166648E+00-0.778427168E+00-0.779698781E+00-0.780981488E+00 --0.812448797E+00-0.810708809E+00-0.809023080E+00-0.807391612E+00-0.805814404E+00 --0.804291455E+00-0.802822767E+00-0.801408339E+00-0.800048171E+00-0.798742263E+00 --0.797490615E+00-0.796259709E+00-0.795032402E+00-0.793859698E+00-0.792756370E+00 --0.791750416E+00-0.790756431E+00-0.789774412E+00-0.788804361E+00-0.787846278E+00 --0.786900165E+00-0.785971731E+00-0.785066181E+00-0.784183516E+00-0.783323736E+00 --0.782486840E+00-0.781672829E+00-0.780881703E+00-0.780113461E+00-0.779289287E+00 --0.778456688E+00-0.777619103E+00-0.776801964E+00-0.776024872E+00-0.775246678E+00 --0.774467381E+00-0.773686981E+00-0.772905479E+00-0.772122873E+00-0.771339165E+00 --0.770554355E+00-0.769768441E+00-0.768981425E+00-0.768193306E+00-0.767404084E+00 --0.766613344E+00-0.765820595E+00-0.765029178E+00-0.764235801E+00-0.763439211E+00 --0.762639461E+00-0.761836555E+00-0.761030492E+00-0.760221273E+00-0.759408897E+00 --0.758593364E+00-0.757774675E+00-0.756952829E+00-0.756127826E+00-0.755299667E+00 --0.754468352E+00-0.753633879E+00-0.752796250E+00-0.751955465E+00-0.751111523E+00 --0.750264424E+00-0.749415073E+00-0.748569138E+00-0.747726873E+00-0.746888278E+00 --0.746053354E+00-0.745222100E+00-0.744394517E+00-0.743570604E+00-0.742750362E+00 --0.741933790E+00-0.741120889E+00-0.740311658E+00-0.739505657E+00-0.738699720E+00 --0.737895034E+00-0.737091601E+00-0.736289419E+00-0.735493285E+00-0.734706094E+00 --0.733925629E+00-0.733151887E+00-0.732383895E+00-0.731620347E+00-0.730864274E+00 --0.730115676E+00-0.729374553E+00-0.728640166E+00-0.727910806E+00-0.727186444E+00 --0.726467081E+00-0.725753656E+00-0.725049926E+00-0.724354618E+00-0.723667731E+00 --0.722989265E+00-0.722316905E+00-0.721652777E+00-0.720997017E+00-0.720349624E+00 --0.719710331E+00-0.719076799E+00-0.718448614E+00-0.717825778E+00-0.717209546E+00 --0.716604979E+00-0.716008994E+00-0.715421592E+00-0.714842771E+00-0.714272202E+00 --0.713709330E+00-0.713154625E+00-0.712608087E+00-0.712069715E+00-0.711538578E+00 --0.711012631E+00-0.710492172E+00-0.709977200E+00-0.709473968E+00-0.708979259E+00 --0.708492578E+00-0.708013924E+00-0.707543369E+00-0.707081486E+00-0.706624738E+00 --0.706173125E+00-0.705726929E+00-0.705288554E+00-0.704857457E+00-0.704433639E+00 --0.704017100E+00-0.703607132E+00-0.703203249E+00-0.702806030E+00-0.702415474E+00 --0.702031582E+00-0.701653707E+00-0.701281361E+00-0.700914587E+00-0.700553386E+00 --0.700197710E+00-0.699846512E+00-0.699499482E+00-0.699156619E+00-0.698817925E+00 --0.698483398E+00-0.698153164E+00-0.697829188E+00-0.697509796E+00-0.697194476E+00 --0.696881841E+00-0.696572312E+00-0.696265282E+00-0.695961579E+00-0.695670499E+00 --0.695396776E+00-0.695140409E+00-0.694901399E+00-0.694679744E+00-0.694475446E+00 --0.694286597E+00-0.694110872E+00-0.693952172E+00-0.693815508E+00-0.693693916E+00 --0.693587362E+00-0.693495843E+00-0.693419766E+00-0.693360417E+00-0.693317810E+00 --0.693291946E+00-0.693282825E+00-0.693288695E+00-0.693309838E+00-0.693346416E+00 --0.693398429E+00-0.693465876E+00-0.693548759E+00-0.693646546E+00-0.693759845E+00 --0.693888720E+00-0.694033939E+00-0.694193610E+00-0.694367793E+00-0.694557811E+00 --0.694763773E+00-0.694985680E+00-0.695223531E+00-0.695477327E+00-0.695747067E+00 --0.696032190E+00-0.696332525E+00-0.696649011E+00-0.696981646E+00-0.697330431E+00 --0.697695366E+00-0.698076451E+00-0.698473686E+00-0.698885780E+00-0.699313278E+00 --0.699760480E+00-0.700224466E+00-0.700705236E+00-0.701203411E+00-0.701718992E+00 --0.702251978E+00-0.702802370E+00-0.703370168E+00-0.703955372E+00-0.704557981E+00 --0.705177257E+00-0.705801668E+00-0.706429294E+00-0.707060135E+00-0.707694190E+00 --0.708331460E+00-0.708971944E+00-0.709615643E+00-0.710262557E+00-0.710912685E+00 --0.711566028E+00-0.712222585E+00-0.712882357E+00-0.713545343E+00-0.714211544E+00 --0.714880960E+00-0.715550098E+00-0.716227670E+00-0.716903521E+00-0.717584547E+00 --0.718270747E+00-0.718962122E+00-0.719658672E+00-0.720360396E+00-0.721067295E+00 --0.721779369E+00-0.722496617E+00-0.723219040E+00-0.723946637E+00-0.724679409E+00 --0.725417356E+00-0.726160477E+00-0.726908773E+00-0.727662243E+00-0.728420888E+00 --0.729190655E+00-0.729974531E+00-0.730759393E+00-0.731548756E+00-0.732347191E+00 --0.733154697E+00-0.733971274E+00-0.734796923E+00-0.735631643E+00-0.736475434E+00 --0.737328297E+00-0.738190231E+00-0.739061237E+00-0.739941314E+00-0.740830462E+00 --0.741728681E+00-0.742635972E+00-0.743556967E+00-0.744485628E+00-0.745421639E+00 --0.746357227E+00-0.747304845E+00-0.748264681E+00-0.749236735E+00-0.750221005E+00 --0.751217493E+00-0.752226198E+00-0.753247120E+00-0.754280260E+00-0.755325617E+00 --0.756383191E+00-0.757452982E+00-0.758534991E+00-0.759629217E+00-0.760735660E+00 --0.761854320E+00-0.762983415E+00-0.764117416E+00-0.765262196E+00-0.766418070E+00 --0.767585038E+00-0.768763099E+00-0.769952255E+00-0.771152504E+00-0.772363848E+00 --0.773586285E+00-0.774819816E+00-0.776064441E+00-0.777320159E+00-0.778586972E+00 --0.802574191E+00-0.800889963E+00-0.799259995E+00-0.797684287E+00-0.796162838E+00 --0.794695650E+00-0.793282722E+00-0.791924054E+00-0.790619647E+00-0.789369499E+00 --0.788173611E+00-0.787031984E+00-0.785944616E+00-0.784911509E+00-0.783858632E+00 --0.782889379E+00-0.781924441E+00-0.780982387E+00-0.780063218E+00-0.779166934E+00 --0.778293534E+00-0.777443019E+00-0.776615388E+00-0.775810643E+00-0.775028781E+00 --0.774269805E+00-0.773533713E+00-0.772820506E+00-0.772081713E+00-0.771326086E+00 --0.770565474E+00-0.769799878E+00-0.769029297E+00-0.768267904E+00-0.767548910E+00 --0.766828814E+00-0.766107614E+00-0.765385312E+00-0.764661907E+00-0.763937399E+00 --0.763211789E+00-0.762485075E+00-0.761757259E+00-0.761028341E+00-0.760298319E+00 --0.759567195E+00-0.758834968E+00-0.758101556E+00-0.757365097E+00-0.756625145E+00 --0.755882202E+00-0.755137306E+00-0.754389253E+00-0.753638044E+00-0.752883678E+00 --0.752126156E+00-0.751365476E+00-0.750601640E+00-0.749834648E+00-0.749064499E+00 --0.748291193E+00-0.747514731E+00-0.746735112E+00-0.745952336E+00-0.745166404E+00 --0.744377316E+00-0.743584848E+00-0.742794216E+00-0.742007254E+00-0.741223963E+00 --0.740444342E+00-0.739668391E+00-0.738896111E+00-0.738127502E+00-0.737362563E+00 --0.736601294E+00-0.735843696E+00-0.735085103E+00-0.734327472E+00-0.733571093E+00 --0.732815965E+00-0.732062089E+00-0.731309465E+00-0.730558093E+00-0.729818997E+00 --0.729086719E+00-0.728361166E+00-0.727636107E+00-0.726917475E+00-0.726206318E+00 --0.725503157E+00-0.724805509E+00-0.724112861E+00-0.723425210E+00-0.722742559E+00 --0.722064905E+00-0.721392251E+00-0.720727043E+00-0.720070894E+00-0.719423167E+00 --0.718781130E+00-0.718145186E+00-0.717517610E+00-0.716899630E+00-0.716289593E+00 --0.715684905E+00-0.715085565E+00-0.714491573E+00-0.713902929E+00-0.713319634E+00 --0.712745654E+00-0.712181101E+00-0.711625129E+00-0.711077741E+00-0.710536601E+00 --0.710003139E+00-0.709477843E+00-0.708960714E+00-0.708451733E+00-0.707948415E+00 --0.707450585E+00-0.706958242E+00-0.706471388E+00-0.705992219E+00-0.705523035E+00 --0.705061879E+00-0.704608751E+00-0.704164665E+00-0.703727506E+00-0.703295481E+00 --0.702868590E+00-0.702446834E+00-0.702030213E+00-0.701620593E+00-0.701218949E+00 --0.700824583E+00-0.700437495E+00-0.700054389E+00-0.699677884E+00-0.699308042E+00 --0.698944502E+00-0.698586161E+00-0.698233393E+00-0.697886197E+00-0.697545290E+00 --0.697209119E+00-0.696877116E+00-0.696549280E+00-0.696225612E+00-0.695906113E+00 --0.695590781E+00-0.695279617E+00-0.694972621E+00-0.694670063E+00-0.694370564E+00 --0.694073987E+00-0.693780783E+00-0.693490951E+00-0.693204446E+00-0.692928802E+00 --0.692670515E+00-0.692429583E+00-0.692206008E+00-0.691998472E+00-0.691805829E+00 --0.691630210E+00-0.691471615E+00-0.691330866E+00-0.691208127E+00-0.691100424E+00 --0.691007757E+00-0.690930127E+00-0.690867535E+00-0.690819978E+00-0.690787459E+00 --0.690771026E+00-0.690772337E+00-0.690787671E+00-0.690818347E+00-0.690864551E+00 --0.690926330E+00-0.691003684E+00-0.691096613E+00-0.691205118E+00-0.691329197E+00 --0.691469186E+00-0.691623711E+00-0.691792371E+00-0.691975166E+00-0.692172097E+00 --0.692384988E+00-0.692614039E+00-0.692859034E+00-0.693119974E+00-0.693396858E+00 --0.693687674E+00-0.693993865E+00-0.694316207E+00-0.694654699E+00-0.695009340E+00 --0.695380045E+00-0.695766112E+00-0.696167419E+00-0.696583964E+00-0.697017481E+00 --0.697468378E+00-0.697936071E+00-0.698420559E+00-0.698921842E+00-0.699440422E+00 --0.699977114E+00-0.700531212E+00-0.701102715E+00-0.701691624E+00-0.702297939E+00 --0.702920810E+00-0.703548205E+00-0.704178814E+00-0.704812638E+00-0.705449677E+00 --0.706089930E+00-0.706733398E+00-0.707380080E+00-0.708029977E+00-0.708683089E+00 --0.709339415E+00-0.709997813E+00-0.710655772E+00-0.711315857E+00-0.711978070E+00 --0.712648175E+00-0.713329128E+00-0.714014854E+00-0.714705144E+00-0.715388681E+00 --0.716077392E+00-0.716771277E+00-0.717470337E+00-0.718174572E+00-0.718883982E+00 --0.719598566E+00-0.720318324E+00-0.721043257E+00-0.721773365E+00-0.722508648E+00 --0.723249105E+00-0.723994737E+00-0.724745543E+00-0.725501524E+00-0.726267150E+00 --0.727045822E+00-0.727830417E+00-0.728620934E+00-0.729411412E+00-0.730210167E+00 --0.731017994E+00-0.731834892E+00-0.732660861E+00-0.733495902E+00-0.734340015E+00 --0.735193198E+00-0.736055453E+00-0.736926779E+00-0.737807177E+00-0.738696646E+00 --0.739595187E+00-0.740505326E+00-0.741423883E+00-0.742349787E+00-0.743283041E+00 --0.744220566E+00-0.745163680E+00-0.746119010E+00-0.747086558E+00-0.748066324E+00 --0.749058306E+00-0.750062506E+00-0.751078923E+00-0.752107557E+00-0.753148409E+00 --0.754201477E+00-0.755266763E+00-0.756344267E+00-0.757433987E+00-0.758535925E+00 --0.759646038E+00-0.760763578E+00-0.761888676E+00-0.763021330E+00-0.764161813E+00 --0.765312886E+00-0.766475053E+00-0.767648314E+00-0.768832668E+00-0.770028117E+00 --0.771234659E+00-0.772452295E+00-0.773681026E+00-0.774920850E+00-0.776171767E+00 --0.792422837E+00-0.790805779E+00-0.789251400E+00-0.787759700E+00-0.786330678E+00 --0.784964335E+00-0.783660670E+00-0.782419685E+00-0.781241378E+00-0.780125749E+00 --0.779072800E+00-0.778082529E+00-0.777154936E+00-0.775992919E+00-0.774807003E+00 --0.773864003E+00-0.772976984E+00-0.772112849E+00-0.771271599E+00-0.770453234E+00 --0.769657753E+00-0.768885157E+00-0.768135446E+00-0.767408619E+00-0.766704677E+00 --0.766023620E+00-0.765365447E+00-0.764704754E+00-0.764026100E+00-0.763342461E+00 --0.762653837E+00-0.761960229E+00-0.761261636E+00-0.760558058E+00-0.759854754E+00 --0.759193858E+00-0.758531859E+00-0.757868757E+00-0.757204552E+00-0.756539244E+00 --0.755872834E+00-0.755205321E+00-0.754536705E+00-0.753866987E+00-0.753196166E+00 --0.752524242E+00-0.751851215E+00-0.751175797E+00-0.750496305E+00-0.749813319E+00 --0.749126841E+00-0.748436871E+00-0.747743408E+00-0.747046452E+00-0.746349058E+00 --0.745649545E+00-0.744946876E+00-0.744241050E+00-0.743532068E+00-0.742819929E+00 --0.742104633E+00-0.741386181E+00-0.740664572E+00-0.739939807E+00-0.739211885E+00 --0.738480806E+00-0.737746291E+00-0.737010962E+00-0.736279303E+00-0.735551315E+00 --0.734826997E+00-0.734106350E+00-0.733389373E+00-0.732676067E+00-0.731966431E+00 --0.731256205E+00-0.730545629E+00-0.729836304E+00-0.729128231E+00-0.728421410E+00 --0.727715840E+00-0.727011522E+00-0.726308456E+00-0.725606641E+00-0.724910518E+00 --0.724226427E+00-0.723543930E+00-0.722862739E+00-0.722190206E+00-0.721524271E+00 --0.720863335E+00-0.720207398E+00-0.719556459E+00-0.718910518E+00-0.718269576E+00 --0.717633633E+00-0.717002688E+00-0.716376892E+00-0.715759902E+00-0.715150239E+00 --0.714542479E+00-0.713944466E+00-0.713357926E+00-0.712776734E+00-0.712200890E+00 --0.711630395E+00-0.711065247E+00-0.710505448E+00-0.709950996E+00-0.709401893E+00 --0.708859101E+00-0.708325979E+00-0.707801440E+00-0.707284218E+00-0.706771998E+00 --0.706267945E+00-0.705772860E+00-0.705286683E+00-0.704805995E+00-0.704330794E+00 --0.703861081E+00-0.703396856E+00-0.702938118E+00-0.702484868E+00-0.702041196E+00 --0.701605565E+00-0.701177962E+00-0.700760217E+00-0.700347781E+00-0.699940479E+00 --0.699538311E+00-0.699141279E+00-0.698749380E+00-0.698362616E+00-0.697981291E+00 --0.697609099E+00-0.697244185E+00-0.696884216E+00-0.696528425E+00-0.696179297E+00 --0.695835188E+00-0.695496425E+00-0.695163899E+00-0.694838587E+00-0.694517443E+00 --0.694200466E+00-0.693887657E+00-0.693579017E+00-0.693274544E+00-0.692974239E+00 --0.692678151E+00-0.692386931E+00-0.692100491E+00-0.691817392E+00-0.691535125E+00 --0.691255374E+00-0.690979606E+00-0.690707211E+00-0.690437903E+00-0.690177695E+00 --0.689934843E+00-0.689708850E+00-0.689499288E+00-0.689306750E+00-0.689131237E+00 --0.688972746E+00-0.688831280E+00-0.688706892E+00-0.688598041E+00-0.688504226E+00 --0.688425448E+00-0.688361707E+00-0.688313003E+00-0.688279335E+00-0.688260704E+00 --0.688255323E+00-0.688262307E+00-0.688287643E+00-0.688329051E+00-0.688386035E+00 --0.688458593E+00-0.688546727E+00-0.688650436E+00-0.688769720E+00-0.688904605E+00 --0.689053985E+00-0.689217499E+00-0.689395148E+00-0.689586933E+00-0.689792852E+00 --0.690012907E+00-0.690247096E+00-0.690499149E+00-0.690767233E+00-0.691050974E+00 --0.691346872E+00-0.691658920E+00-0.691987118E+00-0.692332476E+00-0.692693089E+00 --0.693068943E+00-0.693460035E+00-0.693866367E+00-0.694287951E+00-0.694725747E+00 --0.695180339E+00-0.695651727E+00-0.696139910E+00-0.696644889E+00-0.697166663E+00 --0.697705233E+00-0.698260598E+00-0.698834899E+00-0.699427514E+00-0.700037534E+00 --0.700663999E+00-0.701294378E+00-0.701927971E+00-0.702564778E+00-0.703204800E+00 --0.703848037E+00-0.704494488E+00-0.705142286E+00-0.705792169E+00-0.706444179E+00 --0.707098317E+00-0.707754581E+00-0.708412973E+00-0.709073492E+00-0.709744389E+00 --0.710420972E+00-0.711102328E+00-0.711788457E+00-0.712479359E+00-0.713175034E+00 --0.713870898E+00-0.714567294E+00-0.715268865E+00-0.715975610E+00-0.716687530E+00 --0.717404625E+00-0.718126894E+00-0.718854338E+00-0.719586956E+00-0.720324749E+00 --0.721067717E+00-0.721815859E+00-0.722569176E+00-0.723330845E+00-0.724104313E+00 --0.724883704E+00-0.725669018E+00-0.726460254E+00-0.727255946E+00-0.728055022E+00 --0.728863169E+00-0.729680388E+00-0.730506678E+00-0.731342040E+00-0.732186473E+00 --0.733039977E+00-0.733902553E+00-0.734774200E+00-0.735654919E+00-0.736544709E+00 --0.737444593E+00-0.738353044E+00-0.739268843E+00-0.740191991E+00-0.741122488E+00 --0.742060333E+00-0.743000890E+00-0.743951715E+00-0.744914758E+00-0.745890018E+00 --0.746877495E+00-0.747877189E+00-0.748889101E+00-0.749913230E+00-0.750949576E+00 --0.751998140E+00-0.753058920E+00-0.754131918E+00-0.755216282E+00-0.756308488E+00 --0.757408251E+00-0.758515571E+00-0.759630447E+00-0.760752880E+00-0.761882870E+00 --0.763020417E+00-0.764166318E+00-0.765323684E+00-0.766492144E+00-0.767671698E+00 --0.768862346E+00-0.770064087E+00-0.771276923E+00-0.772500852E+00-0.773735875E+00 --0.781957600E+00-0.780476809E+00-0.779058697E+00-0.777703263E+00-0.776410508E+00 --0.775180431E+00-0.774013034E+00-0.772908315E+00-0.771866274E+00-0.770886913E+00 --0.769970230E+00-0.768951954E+00-0.767909319E+00-0.766865831E+00-0.765821490E+00 --0.764809477E+00-0.764000377E+00-0.763214161E+00-0.762450831E+00-0.761710384E+00 --0.760992823E+00-0.760298146E+00-0.759626354E+00-0.758977446E+00-0.758351424E+00 --0.757748285E+00-0.757158410E+00-0.756556729E+00-0.755950063E+00-0.755338412E+00 --0.754721776E+00-0.754100156E+00-0.753473551E+00-0.752841961E+00-0.752205387E+00 --0.751563827E+00-0.750959715E+00-0.750355813E+00-0.749750809E+00-0.749144701E+00 --0.748537491E+00-0.747929179E+00-0.747319763E+00-0.746709245E+00-0.746097624E+00 --0.745484900E+00-0.744871074E+00-0.744252217E+00-0.743629692E+00-0.743003673E+00 --0.742374162E+00-0.741741158E+00-0.741104662E+00-0.740464673E+00-0.739821191E+00 --0.739174216E+00-0.738523749E+00-0.737871059E+00-0.737220086E+00-0.736565957E+00 --0.735908672E+00-0.735248230E+00-0.734584631E+00-0.733917875E+00-0.733247963E+00 --0.732574895E+00-0.731898669E+00-0.731219375E+00-0.730543019E+00-0.729870334E+00 --0.729201320E+00-0.728535976E+00-0.727874302E+00-0.727213028E+00-0.726549506E+00 --0.725887236E+00-0.725226217E+00-0.724566450E+00-0.723907935E+00-0.723250671E+00 --0.722594660E+00-0.721939899E+00-0.721286391E+00-0.720634134E+00-0.719983129E+00 --0.719343815E+00-0.718701314E+00-0.718067092E+00-0.717437868E+00-0.716813643E+00 --0.716194417E+00-0.715580189E+00-0.714970960E+00-0.714366729E+00-0.713767497E+00 --0.713173263E+00-0.712584028E+00-0.711999791E+00-0.711421642E+00-0.710844839E+00 --0.710281796E+00-0.709724100E+00-0.709171753E+00-0.708624754E+00-0.708083102E+00 --0.707546799E+00-0.707015844E+00-0.706490237E+00-0.705969978E+00-0.705455067E+00 --0.704945504E+00-0.704443631E+00-0.703950523E+00-0.703461203E+00-0.702978393E+00 --0.702506977E+00-0.702043430E+00-0.701585371E+00-0.701132799E+00-0.700685716E+00 --0.700244120E+00-0.699808011E+00-0.699377390E+00-0.698952257E+00-0.698533740E+00 --0.698123635E+00-0.697722874E+00-0.697330026E+00-0.696942312E+00-0.696559733E+00 --0.696182289E+00-0.695809979E+00-0.695442804E+00-0.695080763E+00-0.694723857E+00 --0.694372085E+00-0.694027909E+00-0.693692447E+00-0.693357652E+00-0.693028442E+00 --0.692703684E+00-0.692387886E+00-0.692077601E+00-0.691771483E+00-0.691469533E+00 --0.691171752E+00-0.690878080E+00-0.690589112E+00-0.690304924E+00-0.690025516E+00 --0.689750888E+00-0.689481040E+00-0.689215690E+00-0.688951338E+00-0.688689021E+00 --0.688428739E+00-0.688170493E+00-0.687914282E+00-0.687661950E+00-0.687417730E+00 --0.687191250E+00-0.686981793E+00-0.686789361E+00-0.686613952E+00-0.686455567E+00 --0.686314206E+00-0.686189869E+00-0.686080213E+00-0.685985250E+00-0.685905324E+00 --0.685840435E+00-0.685790582E+00-0.685755766E+00-0.685735825E+00-0.685729645E+00 --0.685737107E+00-0.685758209E+00-0.685793597E+00-0.685845786E+00-0.685913549E+00 --0.685996887E+00-0.686095801E+00-0.686210290E+00-0.686340196E+00-0.686484430E+00 --0.686642798E+00-0.686815302E+00-0.687001941E+00-0.687202715E+00-0.687417624E+00 --0.687646668E+00-0.687889846E+00-0.688147160E+00-0.688419103E+00-0.688708031E+00 --0.689011629E+00-0.689331551E+00-0.689666711E+00-0.690017111E+00-0.690382751E+00 --0.690763630E+00-0.691159748E+00-0.691571105E+00-0.691996584E+00-0.692438076E+00 --0.692896363E+00-0.693371446E+00-0.693863324E+00-0.694371997E+00-0.694897467E+00 --0.695439732E+00-0.695998792E+00-0.696574648E+00-0.697167299E+00-0.697776765E+00 --0.698406826E+00-0.699040187E+00-0.699677288E+00-0.700316969E+00-0.700958777E+00 --0.701602711E+00-0.702248773E+00-0.702896963E+00-0.703547279E+00-0.704199723E+00 --0.704854293E+00-0.705510991E+00-0.706171300E+00-0.706838741E+00-0.707510954E+00 --0.708187940E+00-0.708869700E+00-0.709556232E+00-0.710247537E+00-0.710943614E+00 --0.711644465E+00-0.712350089E+00-0.713054255E+00-0.713763511E+00-0.714477941E+00 --0.715197546E+00-0.715922326E+00-0.716652280E+00-0.717387409E+00-0.718127712E+00 --0.718873191E+00-0.719623843E+00-0.720381739E+00-0.721150004E+00-0.721924191E+00 --0.722704301E+00-0.723490333E+00-0.724282288E+00-0.725080166E+00-0.725881755E+00 --0.726690223E+00-0.727507763E+00-0.728334374E+00-0.729170056E+00-0.730014810E+00 --0.730868635E+00-0.731731532E+00-0.732603499E+00-0.733484539E+00-0.734374767E+00 --0.735273113E+00-0.736178807E+00-0.737091849E+00-0.738012241E+00-0.738939980E+00 --0.739875068E+00-0.740816476E+00-0.741762796E+00-0.742721333E+00-0.743692088E+00 --0.744675059E+00-0.745670249E+00-0.746677655E+00-0.747697279E+00-0.748729120E+00 --0.749773178E+00-0.750829467E+00-0.751896338E+00-0.752970766E+00-0.754052751E+00 --0.755142293E+00-0.756239391E+00-0.757344047E+00-0.758456259E+00-0.759576028E+00 --0.760703353E+00-0.761838236E+00-0.762980675E+00-0.764130933E+00-0.765294592E+00 --0.766469345E+00-0.767655191E+00-0.768852132E+00-0.770060167E+00-0.771279295E+00 --0.771125304E+00-0.769780780E+00-0.768498934E+00-0.767279767E+00-0.766123279E+00 --0.765029469E+00-0.763998338E+00-0.763029885E+00-0.762124112E+00-0.761232102E+00 --0.760332748E+00-0.759432541E+00-0.758531481E+00-0.757629567E+00-0.756726799E+00 --0.755823179E+00-0.754994620E+00-0.754286324E+00-0.753600912E+00-0.752938385E+00 --0.752298743E+00-0.751681985E+00-0.751088112E+00-0.750517124E+00-0.749969020E+00 --0.749442682E+00-0.748917973E+00-0.748388280E+00-0.747853602E+00-0.747313939E+00 --0.746769291E+00-0.746219659E+00-0.745665042E+00-0.745105440E+00-0.744540854E+00 --0.743971283E+00-0.743396727E+00-0.742846481E+00-0.742300677E+00-0.741753770E+00 --0.741205761E+00-0.740656648E+00-0.740106433E+00-0.739555115E+00-0.739002694E+00 --0.738449171E+00-0.737892884E+00-0.737330817E+00-0.736765258E+00-0.736196206E+00 --0.735623662E+00-0.735047625E+00-0.734468095E+00-0.733885073E+00-0.733298558E+00 --0.732708550E+00-0.732115050E+00-0.731518057E+00-0.730917571E+00-0.730313593E+00 --0.729706122E+00-0.729100877E+00-0.728495288E+00-0.727886542E+00-0.727274640E+00 --0.726659582E+00-0.726041366E+00-0.725419455E+00-0.724798403E+00-0.724181021E+00 --0.723567310E+00-0.722955569E+00-0.722339102E+00-0.721723886E+00-0.721109922E+00 --0.720497210E+00-0.719885749E+00-0.719275540E+00-0.718666583E+00-0.718058877E+00 --0.717452423E+00-0.716847221E+00-0.716242058E+00-0.715634425E+00-0.715026694E+00 --0.714432758E+00-0.713838341E+00-0.713245613E+00-0.712657883E+00-0.712075151E+00 --0.711497419E+00-0.710924684E+00-0.710356948E+00-0.709794211E+00-0.709236472E+00 --0.708683732E+00-0.708135990E+00-0.707593247E+00-0.707056598E+00-0.706524908E+00 --0.705997591E+00-0.705474649E+00-0.704956495E+00-0.704443688E+00-0.703936230E+00 --0.703434119E+00-0.702937356E+00-0.702445942E+00-0.701959875E+00-0.701479157E+00 --0.701003786E+00-0.700534055E+00-0.700070754E+00-0.699609296E+00-0.699162891E+00 --0.698721973E+00-0.698286543E+00-0.697856601E+00-0.697432146E+00-0.697013180E+00 --0.696599701E+00-0.696191709E+00-0.695789205E+00-0.695392189E+00-0.695000668E+00 --0.694616088E+00-0.694242215E+00-0.693874090E+00-0.693511100E+00-0.693153244E+00 --0.692800522E+00-0.692452935E+00-0.692110483E+00-0.691773165E+00-0.691440982E+00 --0.691113934E+00-0.690792020E+00-0.690475378E+00-0.690165565E+00-0.689857016E+00 --0.689557589E+00-0.689261919E+00-0.688970423E+00-0.688683707E+00-0.688401771E+00 --0.688124614E+00-0.687852238E+00-0.687584642E+00-0.687321826E+00-0.687063790E+00 --0.686810533E+00-0.686562057E+00-0.686315941E+00-0.686071538E+00-0.685829171E+00 --0.685588839E+00-0.685350543E+00-0.685112048E+00-0.684876004E+00-0.684654992E+00 --0.684445987E+00-0.684253660E+00-0.684078357E+00-0.683920077E+00-0.683778822E+00 --0.683654590E+00-0.683546941E+00-0.683450830E+00-0.683369755E+00-0.683303718E+00 --0.683252717E+00-0.683216975E+00-0.683197633E+00-0.683191932E+00-0.683199871E+00 --0.683221451E+00-0.683256672E+00-0.683305534E+00-0.683368551E+00-0.683447094E+00 --0.683541212E+00-0.683650905E+00-0.683775958E+00-0.683915046E+00-0.684068270E+00 --0.684235628E+00-0.684417121E+00-0.684612749E+00-0.684822512E+00-0.685046411E+00 --0.685284444E+00-0.685536389E+00-0.685801335E+00-0.686079856E+00-0.686373950E+00 --0.686684646E+00-0.687010430E+00-0.687351305E+00-0.687707268E+00-0.688078321E+00 --0.688464464E+00-0.688865695E+00-0.689281507E+00-0.689710466E+00-0.690155585E+00 --0.690617334E+00-0.691095710E+00-0.691590716E+00-0.692102350E+00-0.692630612E+00 --0.693175503E+00-0.693737022E+00-0.694315170E+00-0.694909947E+00-0.695523443E+00 --0.696155595E+00-0.696791454E+00-0.697429441E+00-0.698069555E+00-0.698711796E+00 --0.699356164E+00-0.700002659E+00-0.700651281E+00-0.701302031E+00-0.701954908E+00 --0.702609912E+00-0.703268160E+00-0.703931231E+00-0.704599074E+00-0.705271691E+00 --0.705949080E+00-0.706631242E+00-0.707318177E+00-0.708009885E+00-0.708706366E+00 --0.709407620E+00-0.710113647E+00-0.710824447E+00-0.711538274E+00-0.712255215E+00 --0.712977330E+00-0.713704620E+00-0.714437085E+00-0.715174724E+00-0.715917538E+00 --0.716665527E+00-0.717419833E+00-0.718182894E+00-0.718951878E+00-0.719726784E+00 --0.720507612E+00-0.721294364E+00-0.722087037E+00-0.722885634E+00-0.723690153E+00 --0.724499155E+00-0.725317015E+00-0.726143947E+00-0.726979950E+00-0.727825025E+00 --0.728679171E+00-0.729542388E+00-0.730414677E+00-0.731295848E+00-0.732184089E+00 --0.733079678E+00-0.733982615E+00-0.734892901E+00-0.735810535E+00-0.736735517E+00 --0.737667848E+00-0.738607528E+00-0.739552252E+00-0.740506284E+00-0.741472533E+00 --0.742451000E+00-0.743441683E+00-0.744444585E+00-0.745459703E+00-0.746487038E+00 --0.747527128E+00-0.748576221E+00-0.749632872E+00-0.750697078E+00-0.751768842E+00 --0.752848163E+00-0.753935040E+00-0.755029474E+00-0.756131465E+00-0.757241013E+00 --0.758358118E+00-0.759482780E+00-0.760614998E+00-0.761754773E+00-0.762902105E+00 --0.764056994E+00-0.765225608E+00-0.766406653E+00-0.767598793E+00-0.768802027E+00 --0.759925949E+00-0.758717691E+00-0.757572112E+00-0.756489212E+00-0.755468990E+00 --0.754511447E+00-0.753616582E+00-0.752833364E+00-0.752077291E+00-0.751320364E+00 --0.750562585E+00-0.749803951E+00-0.749044465E+00-0.748284125E+00-0.747522932E+00 --0.746760885E+00-0.745997985E+00-0.745329337E+00-0.744721844E+00-0.744137236E+00 --0.743575513E+00-0.743036675E+00-0.742520721E+00-0.742027652E+00-0.741557569E+00 --0.741109833E+00-0.740657113E+00-0.740199407E+00-0.739736717E+00-0.739269042E+00 --0.738796383E+00-0.738318738E+00-0.737836109E+00-0.737348496E+00-0.736855897E+00 --0.736358314E+00-0.735855746E+00-0.735348193E+00-0.734854157E+00-0.734366451E+00 --0.733877641E+00-0.733387729E+00-0.732896714E+00-0.732404597E+00-0.731911376E+00 --0.731417053E+00-0.730916696E+00-0.730411596E+00-0.729903004E+00-0.729390919E+00 --0.728875341E+00-0.728356271E+00-0.727833708E+00-0.727307652E+00-0.726778104E+00 --0.726245063E+00-0.725708529E+00-0.725168503E+00-0.724624984E+00-0.724077973E+00 --0.723527468E+00-0.722973472E+00-0.722415982E+00-0.721855000E+00-0.721291916E+00 --0.720734867E+00-0.720174662E+00-0.719611203E+00-0.719045454E+00-0.718483375E+00 --0.717914418E+00-0.717346257E+00-0.716779347E+00-0.716213689E+00-0.715649283E+00 --0.715087219E+00-0.714526184E+00-0.713965051E+00-0.713403820E+00-0.712842489E+00 --0.712281061E+00-0.711719533E+00-0.711157908E+00-0.710596183E+00-0.710034361E+00 --0.709487450E+00-0.708949941E+00-0.708408983E+00-0.707862416E+00-0.707320847E+00 --0.706784278E+00-0.706252706E+00-0.705726133E+00-0.705204559E+00-0.704687983E+00 --0.704176406E+00-0.703669676E+00-0.703166837E+00-0.702668372E+00-0.702174280E+00 --0.701684563E+00-0.701199220E+00-0.700718251E+00-0.700241656E+00-0.699769434E+00 --0.699301587E+00-0.698838114E+00-0.698379015E+00-0.697924290E+00-0.697474161E+00 --0.697032983E+00-0.696597154E+00-0.696164376E+00-0.695740600E+00-0.695322312E+00 --0.694909512E+00-0.694502199E+00-0.694100373E+00-0.693704036E+00-0.693313186E+00 --0.692927824E+00-0.692547949E+00-0.692173563E+00-0.691804664E+00-0.691441252E+00 --0.691084349E+00-0.690735813E+00-0.690392411E+00-0.690054143E+00-0.689721010E+00 --0.689393012E+00-0.689070132E+00-0.688752518E+00-0.688440196E+00-0.688133166E+00 --0.687831429E+00-0.687534984E+00-0.687243832E+00-0.686946663E+00-0.686667878E+00 --0.686391032E+00-0.686116128E+00-0.685846003E+00-0.685580659E+00-0.685320094E+00 --0.685064309E+00-0.684813305E+00-0.684567080E+00-0.684325636E+00-0.684088971E+00 --0.683857086E+00-0.683628934E+00-0.683402446E+00-0.683177994E+00-0.682955577E+00 --0.682733174E+00-0.682513489E+00-0.682296786E+00-0.682083622E+00-0.681883559E+00 --0.681697212E+00-0.681524451E+00-0.681366276E+00-0.681225126E+00-0.681101000E+00 --0.680993897E+00-0.680900965E+00-0.680818742E+00-0.680751556E+00-0.680699407E+00 --0.680666270E+00-0.680647405E+00-0.680642182E+00-0.680650599E+00-0.680672657E+00 --0.680708356E+00-0.680757696E+00-0.680820676E+00-0.680897297E+00-0.680986669E+00 --0.681091567E+00-0.681211893E+00-0.681345835E+00-0.681493913E+00-0.681656125E+00 --0.681832473E+00-0.682022955E+00-0.682227728E+00-0.682446989E+00-0.682679825E+00 --0.682926236E+00-0.683186221E+00-0.683459780E+00-0.683746915E+00-0.684048271E+00 --0.684364958E+00-0.684696734E+00-0.685043600E+00-0.685405555E+00-0.685782600E+00 --0.686174004E+00-0.686577215E+00-0.686995965E+00-0.687433381E+00-0.687884693E+00 --0.688348354E+00-0.688828643E+00-0.689325560E+00-0.689839107E+00-0.690369281E+00 --0.690916084E+00-0.691479516E+00-0.692060206E+00-0.692660303E+00-0.693275871E+00 --0.693906523E+00-0.694542816E+00-0.695181235E+00-0.695821782E+00-0.696464456E+00 --0.697109258E+00-0.697756186E+00-0.698405242E+00-0.699056424E+00-0.699709229E+00 --0.700363157E+00-0.701021858E+00-0.701685332E+00-0.702353579E+00-0.703026598E+00 --0.703704391E+00-0.704386956E+00-0.705074294E+00-0.705766405E+00-0.706463289E+00 --0.707164946E+00-0.707871376E+00-0.708582579E+00-0.709298554E+00-0.710019303E+00 --0.710743976E+00-0.711473777E+00-0.712208752E+00-0.712948902E+00-0.713694226E+00 --0.714445126E+00-0.715202983E+00-0.715966763E+00-0.716736466E+00-0.717512091E+00 --0.718293638E+00-0.719081108E+00-0.719874501E+00-0.720673816E+00-0.721479054E+00 --0.722289965E+00-0.723108146E+00-0.723935399E+00-0.724771723E+00-0.725617118E+00 --0.726471585E+00-0.727335123E+00-0.728207732E+00-0.729085972E+00-0.729971456E+00 --0.730864288E+00-0.731764468E+00-0.732671997E+00-0.733586874E+00-0.734509100E+00 --0.735438674E+00-0.736375596E+00-0.737319867E+00-0.738269610E+00-0.739231354E+00 --0.740205316E+00-0.741191494E+00-0.742189890E+00-0.743200858E+00-0.744224617E+00 --0.745255932E+00-0.746294804E+00-0.747341233E+00-0.748395219E+00-0.749456762E+00 --0.750525861E+00-0.751602518E+00-0.752686731E+00-0.753778501E+00-0.754877828E+00 --0.755984711E+00-0.757099152E+00-0.758221149E+00-0.759350703E+00-0.760487814E+00 --0.761632481E+00-0.762784706E+00-0.763944487E+00-0.765116732E+00-0.766304071E+00 --0.748359534E+00-0.747287543E+00-0.746278231E+00-0.745331597E+00-0.744447642E+00 --0.743755739E+00-0.743142946E+00-0.742529301E+00-0.741914802E+00-0.741299449E+00 --0.740683244E+00-0.740066184E+00-0.739448272E+00-0.738829506E+00-0.738209887E+00 --0.737589414E+00-0.736968088E+00-0.736345909E+00-0.735813627E+00-0.735306938E+00 --0.734823134E+00-0.734362215E+00-0.733924180E+00-0.733509030E+00-0.733132309E+00 --0.732756561E+00-0.732375828E+00-0.731990111E+00-0.731599408E+00-0.731203722E+00 --0.730803050E+00-0.730397394E+00-0.729986753E+00-0.729571127E+00-0.729150517E+00 --0.728724921E+00-0.728294341E+00-0.727858777E+00-0.727418227E+00-0.726982743E+00 --0.726553134E+00-0.726122422E+00-0.725690607E+00-0.725257690E+00-0.724823670E+00 --0.724387328E+00-0.723942688E+00-0.723494555E+00-0.723042929E+00-0.722587811E+00 --0.722129200E+00-0.721667096E+00-0.721201500E+00-0.720732411E+00-0.720259829E+00 --0.719783755E+00-0.719304188E+00-0.718821129E+00-0.718334576E+00-0.717844532E+00 --0.717350994E+00-0.716853964E+00-0.716353442E+00-0.715849426E+00-0.715341918E+00 --0.714830918E+00-0.714316424E+00-0.713798438E+00-0.713282044E+00-0.712767608E+00 --0.712253072E+00-0.711738438E+00-0.711223706E+00-0.710708875E+00-0.710193945E+00 --0.709678917E+00-0.709163791E+00-0.708648566E+00-0.708133242E+00-0.707617820E+00 --0.707102300E+00-0.706586680E+00-0.706070963E+00-0.705555147E+00-0.705039232E+00 --0.704537478E+00-0.704040539E+00-0.703545693E+00-0.703052942E+00-0.702553786E+00 --0.702058379E+00-0.701567971E+00-0.701082561E+00-0.700602149E+00-0.700126737E+00 --0.699653941E+00-0.699184327E+00-0.698719087E+00-0.698258221E+00-0.697801729E+00 --0.697349611E+00-0.696901867E+00-0.696458497E+00-0.696019501E+00-0.695584879E+00 --0.695154631E+00-0.694728757E+00-0.694304797E+00-0.693883426E+00-0.693465003E+00 --0.693049526E+00-0.692636996E+00-0.692230966E+00-0.691836014E+00-0.691446544E+00 --0.691062556E+00-0.690684050E+00-0.690311027E+00-0.689943486E+00-0.689581426E+00 --0.689224849E+00-0.688873755E+00-0.688528142E+00-0.688188011E+00-0.687853363E+00 --0.687525012E+00-0.687202058E+00-0.686884396E+00-0.686572027E+00-0.686264950E+00 --0.685963166E+00-0.685666674E+00-0.685375474E+00-0.685089566E+00-0.684808951E+00 --0.684533628E+00-0.684254047E+00-0.683972405E+00-0.683702242E+00-0.683446700E+00 --0.683194977E+00-0.682947071E+00-0.682702983E+00-0.682462714E+00-0.682225325E+00 --0.681990912E+00-0.681761279E+00-0.681536426E+00-0.681316353E+00-0.681101060E+00 --0.680890319E+00-0.680681745E+00-0.680474975E+00-0.680269486E+00-0.680066979E+00 --0.679867454E+00-0.679670911E+00-0.679477350E+00-0.679287065E+00-0.679107951E+00 --0.678942552E+00-0.678790870E+00-0.678652904E+00-0.678529098E+00-0.678422101E+00 --0.678332128E+00-0.678252284E+00-0.678183950E+00-0.678135555E+00-0.678103528E+00 --0.678085142E+00-0.678080397E+00-0.678089292E+00-0.678111828E+00-0.678148005E+00 --0.678197822E+00-0.678261280E+00-0.678338380E+00-0.678429119E+00-0.678532275E+00 --0.678647953E+00-0.678776796E+00-0.678919728E+00-0.679077198E+00-0.679250774E+00 --0.679437925E+00-0.679638650E+00-0.679852951E+00-0.680080825E+00-0.680322274E+00 --0.680577298E+00-0.680845897E+00-0.681128070E+00-0.681423817E+00-0.681732435E+00 --0.682055114E+00-0.682392882E+00-0.682745740E+00-0.683113540E+00-0.683494649E+00 --0.683889384E+00-0.684297744E+00-0.684721524E+00-0.685161801E+00-0.685617008E+00 --0.686087145E+00-0.686570957E+00-0.687069787E+00-0.687585245E+00-0.688117332E+00 --0.688666047E+00-0.689233200E+00-0.689815977E+00-0.690414224E+00-0.691027941E+00 --0.691657092E+00-0.692293818E+00-0.692932671E+00-0.693573651E+00-0.694216759E+00 --0.694861993E+00-0.695509355E+00-0.696158844E+00-0.696806734E+00-0.697456293E+00 --0.698110624E+00-0.698769728E+00-0.699433604E+00-0.700102254E+00-0.700775677E+00 --0.701453872E+00-0.702136841E+00-0.702824582E+00-0.703517096E+00-0.704214383E+00 --0.704916443E+00-0.705623276E+00-0.706334882E+00-0.707051261E+00-0.707772412E+00 --0.708498337E+00-0.709229796E+00-0.709967281E+00-0.710709942E+00-0.711457619E+00 --0.712210273E+00-0.712968849E+00-0.713733348E+00-0.714503769E+00-0.715280113E+00 --0.716062379E+00-0.716850568E+00-0.717644679E+00-0.718444713E+00-0.719250670E+00 --0.720062549E+00-0.720881155E+00-0.721708728E+00-0.722545373E+00-0.723391089E+00 --0.724245877E+00-0.725109736E+00-0.725978763E+00-0.726854141E+00-0.727736868E+00 --0.728626943E+00-0.729524366E+00-0.730429138E+00-0.731341259E+00-0.732260727E+00 --0.733187545E+00-0.734121710E+00-0.735063224E+00-0.736011313E+00-0.736968551E+00 --0.737938007E+00-0.738919680E+00-0.739915952E+00-0.740921932E+00-0.741935470E+00 --0.742956564E+00-0.743985215E+00-0.745021423E+00-0.746065188E+00-0.747116510E+00 --0.748175388E+00-0.749241824E+00-0.750315816E+00-0.751397364E+00-0.752486470E+00 --0.753583133E+00-0.754687352E+00-0.755799128E+00-0.756918461E+00-0.758045351E+00 --0.759179798E+00-0.760321801E+00-0.761471361E+00-0.762628478E+00-0.763793152E+00 --0.736426061E+00-0.735490336E+00-0.734617290E+00-0.733999227E+00-0.733529715E+00 --0.733059350E+00-0.732588132E+00-0.732116061E+00-0.731643136E+00-0.731169357E+00 --0.730694725E+00-0.730219240E+00-0.729742902E+00-0.729265710E+00-0.728787665E+00 --0.728308766E+00-0.727829014E+00-0.727348409E+00-0.726876259E+00-0.726447490E+00 --0.726041605E+00-0.725658605E+00-0.725298489E+00-0.724985399E+00-0.724686624E+00 --0.724382864E+00-0.724074120E+00-0.723760390E+00-0.723441676E+00-0.723117977E+00 --0.722789294E+00-0.722455625E+00-0.722116972E+00-0.721773335E+00-0.721424712E+00 --0.721071105E+00-0.720712513E+00-0.720348936E+00-0.719980375E+00-0.719606829E+00 --0.719232238E+00-0.718860726E+00-0.718488112E+00-0.718114395E+00-0.717739575E+00 --0.717358533E+00-0.716970859E+00-0.716579693E+00-0.716185034E+00-0.715786882E+00 --0.715385238E+00-0.714980101E+00-0.714571471E+00-0.714159349E+00-0.713743734E+00 --0.713324627E+00-0.712902027E+00-0.712475934E+00-0.712046348E+00-0.711613270E+00 --0.711176700E+00-0.710736636E+00-0.710290569E+00-0.709838029E+00-0.709380160E+00 --0.708916963E+00-0.708448436E+00-0.707974581E+00-0.707526653E+00-0.707081062E+00 --0.706612435E+00-0.706143709E+00-0.705674885E+00-0.705205962E+00-0.704736941E+00 --0.704267821E+00-0.703798602E+00-0.703329285E+00-0.702859870E+00-0.702390356E+00 --0.701920744E+00-0.701451033E+00-0.700981223E+00-0.700511315E+00-0.700041309E+00 --0.699582843E+00-0.699126471E+00-0.698672195E+00-0.698220012E+00-0.697769924E+00 --0.697319722E+00-0.696870477E+00-0.696426230E+00-0.695986220E+00-0.695545457E+00 --0.695109068E+00-0.694677053E+00-0.694249413E+00-0.693826146E+00-0.693407253E+00 --0.692994992E+00-0.692585976E+00-0.692179907E+00-0.691776784E+00-0.691376609E+00 --0.690979380E+00-0.690585098E+00-0.690193762E+00-0.689805374E+00-0.689419932E+00 --0.689037437E+00-0.688657889E+00-0.688281288E+00-0.687913679E+00-0.687553247E+00 --0.687198298E+00-0.686848830E+00-0.686504844E+00-0.686166341E+00-0.685833320E+00 --0.685505781E+00-0.685183724E+00-0.684867149E+00-0.684556057E+00-0.684249632E+00 --0.683947800E+00-0.683651261E+00-0.683360014E+00-0.683074059E+00-0.682793396E+00 --0.682518026E+00-0.682247949E+00-0.681983163E+00-0.681723670E+00-0.681465107E+00 --0.681203092E+00-0.680943926E+00-0.680687607E+00-0.680445300E+00-0.680213002E+00 --0.679984521E+00-0.679759859E+00-0.679539016E+00-0.679321990E+00-0.679108782E+00 --0.678899393E+00-0.678693822E+00-0.678492069E+00-0.678293979E+00-0.678100058E+00 --0.677909295E+00-0.677720984E+00-0.677535655E+00-0.677353308E+00-0.677173943E+00 --0.676997560E+00-0.676824158E+00-0.676653738E+00-0.676486334E+00-0.676328167E+00 --0.676183717E+00-0.676052983E+00-0.675935965E+00-0.675832664E+00-0.675743078E+00 --0.675669282E+00-0.675605490E+00-0.675560300E+00-0.675528751E+00-0.675510843E+00 --0.675506575E+00-0.675515948E+00-0.675538962E+00-0.675575617E+00-0.675625913E+00 --0.675689849E+00-0.675767426E+00-0.675858837E+00-0.675963995E+00-0.676082895E+00 --0.676212466E+00-0.676354155E+00-0.676509195E+00-0.676677810E+00-0.676860000E+00 --0.677055765E+00-0.677265104E+00-0.677488017E+00-0.677724505E+00-0.677974568E+00 --0.678238205E+00-0.678515417E+00-0.678806203E+00-0.679110564E+00-0.679426444E+00 --0.679755115E+00-0.680098905E+00-0.680457913E+00-0.680830546E+00-0.681216804E+00 --0.681616688E+00-0.682030196E+00-0.682458183E+00-0.682901321E+00-0.683359390E+00 --0.683832389E+00-0.684320318E+00-0.684823177E+00-0.685340765E+00-0.685875021E+00 --0.686425007E+00-0.686990463E+00-0.687571390E+00-0.688167786E+00-0.688779653E+00 --0.689407304E+00-0.690044463E+00-0.690683749E+00-0.691325162E+00-0.691968703E+00 --0.692614370E+00-0.693261962E+00-0.693902377E+00-0.694547566E+00-0.695197527E+00 --0.695852261E+00-0.696511768E+00-0.697176048E+00-0.697845101E+00-0.698518927E+00 --0.699197525E+00-0.699880897E+00-0.700569041E+00-0.701261958E+00-0.701959649E+00 --0.702662112E+00-0.703369348E+00-0.704081357E+00-0.704798138E+00-0.705519693E+00 --0.706246021E+00-0.706977121E+00-0.707712994E+00-0.708457311E+00-0.709204761E+00 --0.709958134E+00-0.710717429E+00-0.711482646E+00-0.712253786E+00-0.713030849E+00 --0.713813834E+00-0.714602742E+00-0.715397572E+00-0.716198325E+00-0.717005000E+00 --0.717817598E+00-0.718636119E+00-0.719463936E+00-0.720300902E+00-0.721146939E+00 --0.722002047E+00-0.722862461E+00-0.723727734E+00-0.724600355E+00-0.725480325E+00 --0.726367643E+00-0.727262310E+00-0.728164325E+00-0.729073688E+00-0.729990400E+00 --0.730914461E+00-0.731845869E+00-0.732784626E+00-0.733730732E+00-0.734684124E+00 --0.735650227E+00-0.736630873E+00-0.737619076E+00-0.738614835E+00-0.739618152E+00 --0.740629025E+00-0.741647455E+00-0.742673442E+00-0.743706986E+00-0.744748086E+00 --0.745796744E+00-0.746852958E+00-0.747916921E+00-0.748988579E+00-0.750067655E+00 --0.751154147E+00-0.752248057E+00-0.753349383E+00-0.754458126E+00-0.755574287E+00 --0.756697864E+00-0.757828858E+00-0.758967270E+00-0.760113098E+00-0.761266343E+00 --0.724125528E+00-0.723563828E+00-0.723237597E+00-0.722910513E+00-0.722582576E+00 --0.722253785E+00-0.721924141E+00-0.721593643E+00-0.721262292E+00-0.720930088E+00 --0.720597030E+00-0.720263119E+00-0.719928355E+00-0.719592737E+00-0.719256266E+00 --0.718918941E+00-0.718580763E+00-0.718241732E+00-0.717901848E+00-0.717558892E+00 --0.717230926E+00-0.716925845E+00-0.716669106E+00-0.716447303E+00-0.716220516E+00 --0.715988744E+00-0.715751987E+00-0.715510246E+00-0.715263520E+00-0.715011809E+00 --0.714755113E+00-0.714493433E+00-0.714226768E+00-0.713955118E+00-0.713678484E+00 --0.713396865E+00-0.713110261E+00-0.712818672E+00-0.712522099E+00-0.712220541E+00 --0.711913998E+00-0.711602643E+00-0.711289229E+00-0.710974712E+00-0.710659092E+00 --0.710331917E+00-0.710001210E+00-0.709667010E+00-0.709329318E+00-0.708988133E+00 --0.708643455E+00-0.708295285E+00-0.707943622E+00-0.707588467E+00-0.707229819E+00 --0.706867678E+00-0.706502999E+00-0.706134632E+00-0.705760937E+00-0.705381914E+00 --0.704997561E+00-0.704607880E+00-0.704212870E+00-0.703812532E+00-0.703406864E+00 --0.702995868E+00-0.702579543E+00-0.702157890E+00-0.701760508E+00-0.701362641E+00 --0.700960836E+00-0.700546185E+00-0.700123269E+00-0.699700254E+00-0.699277141E+00 --0.698853929E+00-0.698430619E+00-0.698007210E+00-0.697583703E+00-0.697160097E+00 --0.696736393E+00-0.696312590E+00-0.695888689E+00-0.695464689E+00-0.695041439E+00 --0.694623543E+00-0.694207740E+00-0.693794032E+00-0.693382419E+00-0.692972900E+00 --0.692565475E+00-0.692160144E+00-0.691751762E+00-0.691351933E+00-0.690955271E+00 --0.690561556E+00-0.690170788E+00-0.689782967E+00-0.689398092E+00-0.689016165E+00 --0.688637184E+00-0.688261150E+00-0.687888062E+00-0.687517922E+00-0.687150728E+00 --0.686786481E+00-0.686425181E+00-0.686066828E+00-0.685711421E+00-0.685358962E+00 --0.685009449E+00-0.684662883E+00-0.684319263E+00-0.683979294E+00-0.683647900E+00 --0.683321989E+00-0.683001559E+00-0.682686612E+00-0.682377146E+00-0.682073163E+00 --0.681774662E+00-0.681481643E+00-0.681194107E+00-0.680911449E+00-0.680630740E+00 --0.680355322E+00-0.680085197E+00-0.679820365E+00-0.679560824E+00-0.679306576E+00 --0.679057621E+00-0.678813957E+00-0.678574609E+00-0.678332222E+00-0.678092683E+00 --0.677855991E+00-0.677622148E+00-0.677391153E+00-0.677175836E+00-0.676966782E+00 --0.676761545E+00-0.676560127E+00-0.676362527E+00-0.676168745E+00-0.675978781E+00 --0.675792635E+00-0.675610308E+00-0.675431798E+00-0.675257107E+00-0.675085848E+00 --0.674918654E+00-0.674754348E+00-0.674592161E+00-0.674432955E+00-0.674276731E+00 --0.674123490E+00-0.673973230E+00-0.673825951E+00-0.673681427E+00-0.673544209E+00 --0.673420707E+00-0.673310921E+00-0.673214851E+00-0.673132498E+00-0.673064457E+00 --0.673010412E+00-0.672967322E+00-0.672937111E+00-0.672920906E+00-0.672918444E+00 --0.672929723E+00-0.672954746E+00-0.672993511E+00-0.673046018E+00-0.673112268E+00 --0.673192260E+00-0.673285995E+00-0.673393472E+00-0.673513591E+00-0.673644233E+00 --0.673785700E+00-0.673937992E+00-0.674103818E+00-0.674282952E+00-0.674475377E+00 --0.674681094E+00-0.674900103E+00-0.675132403E+00-0.675377994E+00-0.675636877E+00 --0.675909052E+00-0.676194781E+00-0.676494181E+00-0.676807156E+00-0.677130297E+00 --0.677467007E+00-0.677817538E+00-0.678181694E+00-0.678559476E+00-0.678950883E+00 --0.679355916E+00-0.679774573E+00-0.680205943E+00-0.680651943E+00-0.681112873E+00 --0.681588733E+00-0.682079523E+00-0.682585894E+00-0.683105051E+00-0.683635628E+00 --0.684183763E+00-0.684747369E+00-0.685326444E+00-0.685920990E+00-0.686531007E+00 --0.687157156E+00-0.687794749E+00-0.688434468E+00-0.689076314E+00-0.689720288E+00 --0.690360112E+00-0.690996158E+00-0.691636976E+00-0.692282568E+00-0.692932932E+00 --0.693588069E+00-0.694247980E+00-0.694912663E+00-0.695582118E+00-0.696256347E+00 --0.696935349E+00-0.697619124E+00-0.698307671E+00-0.699000991E+00-0.699699085E+00 --0.700401951E+00-0.701109590E+00-0.701822002E+00-0.702538847E+00-0.703259099E+00 --0.703983547E+00-0.704712191E+00-0.705448116E+00-0.706192668E+00-0.706938802E+00 --0.707690917E+00-0.708449361E+00-0.709214660E+00-0.709986519E+00-0.710764300E+00 --0.711548004E+00-0.712337631E+00-0.713133180E+00-0.713934651E+00-0.714742046E+00 --0.715555362E+00-0.716374601E+00-0.717201022E+00-0.718038308E+00-0.718884666E+00 --0.719737066E+00-0.720592234E+00-0.721454750E+00-0.722324614E+00-0.723201827E+00 --0.724086389E+00-0.724978298E+00-0.725877557E+00-0.726784163E+00-0.727698118E+00 --0.728619421E+00-0.729548073E+00-0.730483917E+00-0.731426231E+00-0.732382869E+00 --0.733356422E+00-0.734328080E+00-0.735307155E+00-0.736293647E+00-0.737287557E+00 --0.738288883E+00-0.739297626E+00-0.740313786E+00-0.741337364E+00-0.742368358E+00 --0.743406769E+00-0.744452597E+00-0.745505842E+00-0.746566505E+00-0.747634584E+00 --0.748710080E+00-0.749792993E+00-0.750883323E+00-0.751981070E+00-0.753086234E+00 --0.754198816E+00-0.755318814E+00-0.756446229E+00-0.757581061E+00-0.758723310E+00 - 0.102260481E+01 0.102375503E+01 0.102490525E+01 0.102554232E+01 0.102532016E+01 - 0.102555935E+01 0.102596888E+01 0.102622813E+01 0.102675098E+01 0.102703964E+01 - 0.102732251E+01 0.102754175E+01 0.102774423E+01 0.102818504E+01 0.102863673E+01 - 0.102904897E+01 0.102945393E+01 0.102987419E+01 0.103030911E+01 0.103071629E+01 - 0.103106678E+01 0.103157306E+01 0.103199280E+01 0.103245617E+01 0.103289068E+01 - 0.103335256E+01 0.103380655E+01 0.103428590E+01 0.103484554E+01 0.103539827E+01 - 0.103594042E+01 0.103652799E+01 0.103710654E+01 0.103769697E+01 0.103833413E+01 - 0.103897715E+01 0.103957745E+01 0.104015986E+01 0.104074987E+01 0.104134314E+01 - 0.104195326E+01 0.104260221E+01 0.104332145E+01 0.104403897E+01 0.104476632E+01 - 0.104548296E+01 0.104625700E+01 0.104704875E+01 0.104778972E+01 0.104855297E+01 - 0.104931020E+01 0.105008535E+01 0.105086074E+01 0.105161761E+01 0.105246936E+01 - 0.105330900E+01 0.105415579E+01 0.105497786E+01 0.105587981E+01 0.105677061E+01 - 0.105766476E+01 0.105859444E+01 0.105951333E+01 0.106047403E+01 0.106144708E+01 - 0.106242594E+01 0.106344845E+01 0.106444006E+01 0.106542895E+01 0.106645018E+01 - 0.106749423E+01 0.106854291E+01 0.106960403E+01 0.107066065E+01 0.107173025E+01 - 0.107282299E+01 0.107390056E+01 0.107503115E+01 0.107616728E+01 0.107734059E+01 - 0.107852890E+01 0.107975424E+01 0.108098109E+01 0.108222280E+01 0.108346950E+01 - 0.108475189E+01 0.108603976E+01 0.108732309E+01 0.108859886E+01 0.108990089E+01 - 0.109121547E+01 0.109254432E+01 0.109389122E+01 0.109525513E+01 0.109665030E+01 - 0.109806859E+01 0.109950212E+01 0.110096078E+01 0.110244199E+01 0.110392703E+01 - 0.110541093E+01 0.110691431E+01 0.110842906E+01 0.110996301E+01 0.111151681E+01 - 0.111309157E+01 0.111468649E+01 0.111629768E+01 0.111793993E+01 0.111960158E+01 - 0.112128328E+01 0.112297009E+01 0.112468369E+01 0.112643138E+01 0.112817249E+01 - 0.112991551E+01 0.113168738E+01 0.113348946E+01 0.113530949E+01 0.113715673E+01 - 0.113902479E+01 0.114088275E+01 0.114276954E+01 0.114467653E+01 0.114663528E+01 - 0.114862322E+01 0.115063239E+01 0.115265007E+01 0.115469206E+01 0.115677326E+01 - 0.115885414E+01 0.116097422E+01 0.116311727E+01 0.116528827E+01 0.116747446E+01 - 0.116968152E+01 0.117189954E+01 0.117412126E+01 0.117637040E+01 0.117863949E+01 - 0.118093264E+01 0.118324916E+01 0.118559119E+01 0.118796310E+01 0.119037231E+01 - 0.119283105E+01 0.119532355E+01 0.119785341E+01 0.120039537E+01 0.120295369E+01 - 0.120554276E+01 0.120815327E+01 0.121079679E+01 0.121348888E+01 0.121619650E+01 - 0.121891347E+01 0.122165892E+01 0.122441732E+01 0.122724607E+01 0.123007653E+01 - 0.123293343E+01 0.123583546E+01 0.123876207E+01 0.124171818E+01 0.124470080E+01 - 0.124775529E+01 0.125085747E+01 0.125400496E+01 0.125719486E+01 0.126041221E+01 - 0.126364954E+01 0.126690532E+01 0.127020243E+01 0.127354540E+01 0.127691865E+01 - 0.128033330E+01 0.128378235E+01 0.128726604E+01 0.129077467E+01 0.129433053E+01 - 0.129792704E+01 0.130156966E+01 0.130524882E+01 0.130896861E+01 0.131274138E+01 - 0.131659408E+01 0.132048627E+01 0.132442551E+01 0.132839916E+01 0.133242201E+01 - 0.133649782E+01 0.134060738E+01 0.134475562E+01 0.134895133E+01 0.135321002E+01 - 0.135750780E+01 0.136185159E+01 0.136624563E+01 0.137069528E+01 0.137518988E+01 - 0.137978091E+01 0.138446497E+01 0.138922831E+01 0.139405632E+01 0.139894380E+01 - 0.140387011E+01 0.140884618E+01 0.141388305E+01 0.141897634E+01 0.142413805E+01 - 0.142936815E+01 0.143465616E+01 0.144000509E+01 0.144544687E+01 0.145095517E+01 - 0.145652772E+01 0.146216479E+01 0.146789656E+01 0.147375089E+01 0.147969135E+01 - 0.148573257E+01 0.149186354E+01 0.149807523E+01 0.150436226E+01 0.151076382E+01 - 0.151724478E+01 0.152379776E+01 0.153043601E+01 0.153717671E+01 0.154401839E+01 - 0.155099116E+01 0.155805646E+01 0.156524835E+01 0.157255286E+01 0.157998987E+01 - 0.158756669E+01 0.159525926E+01 0.160309376E+01 0.161107519E+01 0.161917677E+01 - 0.162740004E+01 0.163575457E+01 0.164429210E+01 0.165299619E+01 0.166185169E+01 - 0.167090458E+01 0.168010629E+01 0.168947016E+01 0.169899571E+01 0.170868668E+01 - 0.171853270E+01 0.172862784E+01 0.173891152E+01 0.174944767E+01 0.176018908E+01 - 0.177115639E+01 0.178234465E+01 0.179382520E+01 0.180551434E+01 0.181747018E+01 - 0.182977216E+01 0.184243099E+01 0.185539273E+01 0.186868311E+01 0.188229710E+01 - 0.189626518E+01 0.191060064E+01 0.192530013E+01 0.194044897E+01 0.195605729E+01 - 0.197221818E+01 0.198885820E+01 0.200597952E+01 0.202364272E+01 0.204190142E+01 - 0.206078993E+01 0.208050826E+01 0.210095325E+01 0.212217823E+01 0.214432643E+01 - 0.216749779E+01 0.219177131E+01 0.221731908E+01 0.224418529E+01 0.227267819E+01 - 0.230285946E+01 0.233490933E+01 0.236928314E+01 0.240617731E+01 0.244613621E+01 - 0.248978896E+01 0.253811142E+01 0.259220190E+01 0.265363181E+01 0.272515155E+01 - 0.281090351E+01 0.291917478E+01 0.306863991E+01 0.331254418E+01 0.554409300E+01 - 300 336 - 0.125647914E+01-0.589172182E-04 0.125647130E+01 0.454641764E-02 0.125643503E+01 - 0.915429738E-02 0.125637438E+01 0.137672643E-01 0.125628755E+01 0.183877297E-01 - 0.125617098E+01 0.230177947E-01 0.125602721E+01 0.276600718E-01 0.125586158E+01 - 0.323178506E-01 0.125567195E+01 0.369936726E-01 0.125545792E+01 0.416902995E-01 - 0.125521589E+01 0.464098642E-01 0.125494280E+01 0.511544010E-01 0.125464169E+01 - 0.559273543E-01 0.125431390E+01 0.607320816E-01 0.125395609E+01 0.655707739E-01 - 0.125356535E+01 0.704456120E-01 0.125314357E+01 0.753603445E-01 0.125269092E+01 - 0.803184264E-01 0.125220379E+01 0.853220365E-01 0.125167953E+01 0.903736111E-01 - 0.125111941E+01 0.954773216E-01 0.125052154E+01 0.100636217E+00 0.124988595E+01 - 0.105854394E+00 0.124920784E+01 0.111133710E+00 0.124848828E+01 0.116479103E+00 - 0.124772309E+01 0.121892909E+00 0.124690958E+01 0.127378312E+00 0.124604745E+01 - 0.132940125E+00 0.124513335E+01 0.138581544E+00 0.124416624E+01 0.144307455E+00 - 0.124314156E+01 0.150120610E+00 0.124205743E+01 0.156025787E+00 0.124091054E+01 - 0.162027019E+00 0.123969980E+01 0.168130436E+00 0.123841318E+01 0.174333263E+00 - 0.123705471E+01 0.180646332E+00 0.123561870E+01 0.187072788E+00 0.123409865E+01 - 0.193615038E+00 0.123249175E+01 0.200279312E+00 0.123079523E+01 0.207072508E+00 - 0.122900165E+01 0.213997129E+00 0.122710294E+01 0.221054952E+00 0.122509547E+01 - 0.228253089E+00 0.122296989E+01 0.235592267E+00 0.122072550E+01 0.243084488E+00 - 0.121835424E+01 0.250733439E+00 0.121583996E+01 0.258531358E+00 0.121318202E+01 - 0.266492272E+00 0.121037053E+01 0.274617996E+00 0.120739678E+01 0.282912390E+00 - 0.120425130E+01 0.291378588E+00 0.120092229E+01 0.300015923E+00 0.119740163E+01 - 0.308830603E+00 0.119367894E+01 0.317825517E+00 0.118974061E+01 0.326997308E+00 - 0.118557672E+01 0.336350307E+00 0.118117743E+01 0.345890264E+00 0.117652742E+01 - 0.355610613E+00 0.117161597E+01 0.365515981E+00 0.116642955E+01 0.375604571E+00 - 0.116096047E+01 0.385893000E+00 0.115518520E+01 0.396350416E+00 0.114910209E+01 - 0.407016548E+00 0.114269210E+01 0.417877418E+00 0.113594601E+01 0.428957925E+00 - 0.112883141E+01 0.440183498E+00 0.111811333E+01 0.434226236E+00 0.110758000E+01 - 0.427367342E+00 0.109742856E+01 0.420663097E+00 0.108763463E+01 0.414088857E+00 - 0.107818052E+01 0.407657630E+00 0.106904669E+01 0.401363233E+00 0.106021379E+01 - 0.395181505E+00 0.105166652E+01 0.389126056E+00 0.104338844E+01 0.383175090E+00 - 0.103536537E+01 0.377326277E+00 0.102758338E+01 0.371592630E+00 0.102002946E+01 - 0.365953517E+00 0.101269129E+01 0.360409156E+00 0.100555723E+01 0.354955853E+00 - 0.998616013E+00 0.349591962E+00 0.991857271E+00 0.344312286E+00 0.985270461E+00 - 0.339117141E+00 0.978847071E+00 0.333996297E+00 0.972578173E+00 0.328947051E+00 - 0.966454303E+00 0.323970954E+00 0.960467835E+00 0.319061900E+00 0.954612718E+00 - 0.314210263E+00 0.948880564E+00 0.309417935E+00 0.943263964E+00 0.304683296E+00 - 0.937757888E+00 0.299998155E+00 0.932356907E+00 0.295357661E+00 0.927053548E+00 - 0.290763611E+00 0.921842997E+00 0.286210770E+00 0.916720136E+00 0.281695757E+00 - 0.911680629E+00 0.277214116E+00 0.906720416E+00 0.272761649E+00 0.901833154E+00 - 0.268339411E+00 0.897019423E+00 0.263935068E+00 0.892271304E+00 0.259553704E+00 - 0.887583492E+00 0.255194824E+00 0.882958218E+00 0.250845556E+00 0.878389393E+00 - 0.246508021E+00 0.873873607E+00 0.242179791E+00 0.869409274E+00 0.237856034E+00 - 0.864992833E+00 0.233535169E+00 0.860621504E+00 0.229214618E+00 0.856296818E+00 - 0.224886604E+00 0.852012537E+00 0.220553613E+00 0.847767627E+00 0.216211530E+00 - 0.843563490E+00 0.211853941E+00 0.839396947E+00 0.207479992E+00 0.835265179E+00 - 0.203088328E+00 0.831168957E+00 0.198674053E+00 0.827107862E+00 0.194233852E+00 - 0.823081629E+00 0.189764510E+00 0.819086602E+00 0.185265916E+00 0.815129402E+00 - 0.180729309E+00 0.811206197E+00 0.176155203E+00 0.807318833E+00 0.171539514E+00 - 0.803467945E+00 0.166879409E+00 0.799654926E+00 0.162171732E+00 0.795881953E+00 - 0.157413079E+00 0.792152611E+00 0.152599493E+00 0.788466692E+00 0.147729735E+00 - 0.784830859E+00 0.142798670E+00 0.781247288E+00 0.137804321E+00 0.777717508E+00 - 0.132745256E+00 0.774253525E+00 0.127615086E+00 0.770854161E+00 0.122414673E+00 - 0.767528535E+00 0.117140209E+00 0.764279694E+00 0.111791197E+00 0.761121726E+00 - 0.106363089E+00 0.758058759E+00 0.100856176E+00 0.755098694E+00 0.952697400E-01 - 0.752248596E+00 0.896039233E-01 0.749523928E+00 0.838569305E-01 0.746929272E+00 - 0.780311489E-01 0.744476487E+00 0.721274235E-01 0.742178275E+00 0.661473085E-01 - 0.740046673E+00 0.600934509E-01 0.738086816E+00 0.539706331E-01 0.736311447E+00 - 0.477827165E-01 0.734734690E+00 0.415343227E-01 0.733363206E+00 0.352320069E-01 - 0.732203285E+00 0.288827964E-01 0.731265040E+00 0.224938555E-01 0.730553164E+00 - 0.160733909E-01 0.730076123E+00 0.962980709E-02 0.729834158E+00 0.317224910E-02 - 0.729829737E+00-0.329012999E-02 0.730062509E+00-0.974807080E-02 0.730531930E+00 --0.161923420E-01 0.731235089E+00-0.226138968E-01 0.732164148E+00-0.290043428E-01 - 0.733314774E+00-0.353554641E-01 0.734681174E+00-0.416595128E-01 0.736253018E+00 --0.479098368E-01 0.738019869E+00-0.541005543E-01 0.739972289E+00-0.602263351E-01 - 0.742101354E+00-0.662823964E-01 0.744395706E+00-0.722651688E-01 0.746843355E+00 --0.781720855E-01 0.749435011E+00-0.840006891E-01 0.752158239E+00-0.897501749E-01 - 0.755002572E+00-0.954200391E-01 0.757962206E+00-0.101008898E+00 0.761027507E+00 --0.106517223E+00 0.764187301E+00-0.111946876E+00 0.767432994E+00-0.117299542E+00 - 0.770758723E+00-0.122576368E+00 0.774158541E+00-0.127779014E+00 0.777625969E+00 --0.132909913E+00 0.781155080E+00-0.137971792E+00 0.784740910E+00-0.142967391E+00 - 0.788378752E+00-0.147899790E+00 0.792066620E+00-0.152770866E+00 0.795800563E+00 --0.157583991E+00 0.799575994E+00-0.162343439E+00 0.803390784E+00-0.167052319E+00 - 0.807244755E+00-0.171712610E+00 0.811136938E+00-0.176327005E+00 0.815064268E+00 --0.180900134E+00 0.819024634E+00-0.185436367E+00 0.823020299E+00-0.189936678E+00 - 0.827052484E+00-0.194402864E+00 0.831117235E+00-0.198841742E+00 0.835216831E+00 --0.203254766E+00 0.839352078E+00-0.207644869E+00 0.843521347E+00-0.212017860E+00 - 0.847729249E+00-0.216373145E+00 0.851977985E+00-0.220712577E+00 0.856266657E+00 --0.225041911E+00 0.860595223E+00-0.229366548E+00 0.864970545E+00-0.233683210E+00 - 0.869389629E+00-0.238001698E+00 0.873857770E+00-0.242321093E+00 0.878376995E+00 --0.246645087E+00 0.882948749E+00-0.250978780E+00 0.887578314E+00-0.255321485E+00 - 0.892267551E+00-0.259678256E+00 0.897018909E+00-0.264053870E+00 0.901837056E+00 --0.268449517E+00 0.906727002E+00-0.272865728E+00 0.911689008E+00-0.277313462E+00 - 0.916730929E+00-0.281788382E+00 0.921856645E+00-0.286294780E+00 0.927067380E+00 --0.290844973E+00 0.932373811E+00-0.295427934E+00 0.937777252E+00-0.300057647E+00 - 0.943284093E+00-0.304735934E+00 0.948902117E+00-0.309460372E+00 0.954634558E+00 --0.314245138E+00 0.960491066E+00-0.319083305E+00 0.966477787E+00-0.323981451E+00 - 0.972601103E+00-0.328948412E+00 0.978869812E+00-0.333984271E+00 0.985292548E+00 --0.339091121E+00 0.991878399E+00-0.344270172E+00 0.998635411E+00-0.349534683E+00 - 0.100557417E+01-0.354884545E+00 0.101270608E+01-0.360310828E+00 0.102004049E+01 --0.365838282E+00 0.102759025E+01-0.371449258E+00 0.103536686E+01-0.377160892E+00 - 0.104338338E+01-0.382971815E+00 0.105165322E+01-0.388882436E+00 0.106019070E+01 --0.394900142E+00 0.106900920E+01-0.401006230E+00 0.107812554E+01-0.407226480E+00 - 0.108755226E+01-0.413528296E+00 0.109730120E+01-0.419889049E+00 0.110737211E+01 --0.426220014E+00 0.111768340E+01-0.432032293E+00 0.112756136E+01-0.434189528E+00 - 0.113547833E+01-0.427040787E+00 0.114241316E+01-0.416888598E+00 0.114890234E+01 --0.406406762E+00 0.115502716E+01-0.395936606E+00 0.116082676E+01-0.385593356E+00 - 0.116631611E+01-0.375392259E+00 0.117151650E+01-0.365362971E+00 0.117644090E+01 --0.355507331E+00 0.118110159E+01-0.345825678E+00 0.118551019E+01-0.336317139E+00 - 0.118967993E+01-0.326984912E+00 0.119362590E+01-0.317835486E+00 0.119735227E+01 --0.308853164E+00 0.120088021E+01-0.300056575E+00 0.120421206E+01-0.291427903E+00 - 0.120736389E+01-0.282975499E+00 0.121034148E+01-0.274689706E+00 0.121315905E+01 --0.266575279E+00 0.121581895E+01-0.258618744E+00 0.121833726E+01-0.250827738E+00 - 0.122071479E+01-0.243188126E+00 0.122296074E+01-0.235698476E+00 0.122508726E+01 --0.228360934E+00 0.122709637E+01-0.221165135E+00 0.122899747E+01-0.214110301E+00 - 0.123079434E+01-0.207189393E+00 0.123249428E+01-0.200399744E+00 0.123410129E+01 --0.193735474E+00 0.123562022E+01-0.187192059E+00 0.123705864E+01-0.180767724E+00 - 0.123841865E+01-0.174455838E+00 0.123970122E+01-0.168249445E+00 0.124091521E+01 --0.162148576E+00 0.124206596E+01-0.156150127E+00 0.124315020E+01-0.150244748E+00 - 0.124417528E+01-0.144431602E+00 0.124514533E+01-0.138707370E+00 0.124605843E+01 --0.133064960E+00 0.124691807E+01-0.127501309E+00 0.124773092E+01-0.122015283E+00 - 0.124849892E+01-0.116602806E+00 0.124921963E+01-0.111257734E+00 0.124989619E+01 --0.105977328E+00 0.125053367E+01-0.100759782E+00 0.125113274E+01-0.956011139E-01 - 0.125169065E+01-0.904961394E-01 0.125221246E+01-0.854433152E-01 0.125270106E+01 --0.804400474E-01 0.125315514E+01-0.754822210E-01 0.125357411E+01-0.705663037E-01 - 0.125396348E+01-0.656908489E-01 0.125432094E+01-0.608518872E-01 0.125464946E+01 --0.560471905E-01 0.125494947E+01-0.512738061E-01 0.125522074E+01-0.465287318E-01 - 0.125546297E+01-0.418091004E-01 0.125567862E+01-0.371126389E-01 0.125586875E+01 --0.324367475E-01 0.125603345E+01-0.277786970E-01 0.125617246E+01-0.231357852E-01 - 0.125628216E+01-0.185051102E-01 0.125636783E+01-0.138846857E-01 0.125642868E+01 --0.927186481E-02 0.125646641E+01-0.466414913E-02 0.125647914E+01-0.589172182E-04 - 0.150063879E+01 0.195000000E+00 0.149282629E+01 0.195000000E+00 0.147898579E+01 - 0.195000000E+00 0.145733279E+01 0.195000000E+00 0.144650629E+01 0.195000000E+00 - 0.143567979E+01 0.195000000E+00 0.142485328E+01 0.195000000E+00 0.141402678E+01 - 0.195000000E+00 0.140320028E+01 0.195000000E+00 0.139237378E+01 0.195000000E+00 - 0.138986901E+01 0.215135725E+00 0.138986114E+01 0.235861182E+00 0.138985721E+01 - 0.246223911E+00 0.138985327E+01 0.256586639E+00 0.139496354E+01 0.258205029E+00 - 0.140007381E+01 0.259823418E+00 0.141029434E+01 0.263060196E+00 0.142051488E+01 - 0.266296974E+00 0.143073541E+01 0.269533752E+00 0.144095595E+01 0.272770531E+00 - 0.145117648E+01 0.276007309E+00 0.146416963E+01 0.280122154E+00 0.147161755E+01 - 0.282480865E+00 0.146514580E+01 0.302909149E+00 0.145867405E+01 0.323337433E+00 - 0.145220231E+01 0.343765717E+00 0.144573056E+01 0.364194000E+00 0.143925881E+01 - 0.384622284E+00 0.143278706E+01 0.405050568E+00 0.142631531E+01 0.425478851E+00 - 0.141886738E+01 0.423120133E+00 0.141141946E+01 0.420761414E+00 0.140602791E+01 - 0.419053940E+00 0.140063636E+01 0.417346466E+00 0.139524482E+01 0.415638992E+00 - 0.138985327E+01 0.413931519E+00 0.138985663E+01 0.421744018E+00 0.138986316E+01 - 0.436965759E+00 0.138987305E+01 0.460000000E+00 0.136788848E+01 0.460000000E+00 - 0.134590391E+01 0.460000000E+00 0.132391934E+01 0.460000000E+00 0.130193477E+01 - 0.460000000E+00 0.127995020E+01 0.460000000E+00 0.127995020E+01 0.480625000E+00 - 0.127995020E+01 0.501250000E+00 0.127995020E+01 0.521875000E+00 0.127995020E+01 - 0.542500000E+00 0.127995020E+01 0.563125000E+00 0.127995020E+01 0.583750000E+00 - 0.127995020E+01 0.604375000E+00 0.127995020E+01 0.625000000E+00 0.125846429E+01 - 0.625000000E+00 0.123697839E+01 0.625000000E+00 0.121549249E+01 0.625000000E+00 - 0.119400659E+01 0.625000000E+00 0.117252069E+01 0.625000000E+00 0.115103479E+01 - 0.625000000E+00 0.112954889E+01 0.625000000E+00 0.110806299E+01 0.625000000E+00 - 0.108657709E+01 0.625000000E+00 0.107583414E+01 0.625000000E+00 0.106509119E+01 - 0.625000000E+00 0.106509118E+01 0.630996021E+00 0.106509117E+01 0.636992041E+00 - 0.106509116E+01 0.648984082E+00 0.106509115E+01 0.660976123E+00 0.106509114E+01 - 0.672968164E+00 0.106509113E+01 0.684960205E+00 0.106509111E+01 0.696952246E+00 - 0.106509110E+01 0.708944287E+00 0.106509109E+01 0.714940308E+00 0.106509109E+01 - 0.720936328E+00 0.106509108E+01 0.729295410E+00 0.106509106E+01 0.744920410E+00 - 0.104321420E+01 0.744920410E+00 0.102133734E+01 0.744920410E+00 0.999460480E+00 - 0.744920410E+00 0.977583618E+00 0.744920410E+00 0.955706757E+00 0.744920410E+00 - 0.933829895E+00 0.744920410E+00 0.911953033E+00 0.744920410E+00 0.890076172E+00 - 0.744920410E+00 0.890076172E+00 0.729295410E+00 0.890076172E+00 0.720936328E+00 - 0.890076172E+00 0.714940308E+00 0.890076172E+00 0.708944287E+00 0.890076172E+00 - 0.696952246E+00 0.890076172E+00 0.684960205E+00 0.890076172E+00 0.672968164E+00 - 0.890076172E+00 0.660976123E+00 0.890076172E+00 0.648984082E+00 0.890076172E+00 - 0.636992041E+00 0.890076172E+00 0.630996021E+00 0.890076172E+00 0.625000000E+00 - 0.879950562E+00 0.625000000E+00 0.879950562E+00 0.604375000E+00 0.879950562E+00 - 0.583750000E+00 0.879950562E+00 0.563125000E+00 0.879950562E+00 0.542500000E+00 - 0.879950562E+00 0.521875000E+00 0.879950562E+00 0.501250000E+00 0.879950562E+00 - 0.480625000E+00 0.879950562E+00 0.460000000E+00 0.858879651E+00 0.460000000E+00 - 0.837808740E+00 0.460000000E+00 0.816737830E+00 0.460000000E+00 0.795666919E+00 - 0.460000000E+00 0.774596008E+00 0.460000000E+00 0.753525098E+00 0.460000000E+00 - 0.732454187E+00 0.460000000E+00 0.711383276E+00 0.460000000E+00 0.690312366E+00 - 0.460000000E+00 0.669241455E+00 0.460000000E+00 0.669241455E+00 0.440000000E+00 - 0.669241455E+00 0.420000000E+00 0.669241455E+00 0.400000000E+00 0.669241455E+00 - 0.380000000E+00 0.669241455E+00 0.360000000E+00 0.669241455E+00 0.340000000E+00 - 0.669241455E+00 0.320000000E+00 0.669241455E+00 0.300000000E+00 0.669241455E+00 - 0.280000000E+00 0.669241455E+00 0.260000000E+00 0.669241455E+00 0.240000000E+00 - 0.669241455E+00 0.220000000E+00 0.669241455E+00 0.200000000E+00 0.669241455E+00 - 0.180000000E+00 0.669241455E+00 0.160000000E+00 0.669241455E+00 0.140000000E+00 - 0.669241455E+00 0.120000000E+00 0.669241455E+00 0.100000000E+00 0.669241455E+00 - 0.800000000E-01 0.669241455E+00 0.600000000E-01 0.669241455E+00 0.400000000E-01 - 0.669241455E+00 0.200000000E-01 0.669241455E+00 0.000000000E+00 0.669241455E+00 --0.200000000E-01 0.669241455E+00-0.400000000E-01 0.669241455E+00-0.600000000E-01 - 0.669241455E+00-0.800000000E-01 0.669241455E+00-0.100000000E+00 0.669241455E+00 --0.120000000E+00 0.669241455E+00-0.140000000E+00 0.669241455E+00-0.160000000E+00 - 0.669241455E+00-0.180000000E+00 0.669241455E+00-0.200000000E+00 0.669241455E+00 --0.220000000E+00 0.669241455E+00-0.240000000E+00 0.669241455E+00-0.260000000E+00 - 0.669241455E+00-0.280000000E+00 0.669241455E+00-0.300000000E+00 0.669241455E+00 --0.320000000E+00 0.669241455E+00-0.340000000E+00 0.669241455E+00-0.360000000E+00 - 0.669241455E+00-0.380000000E+00 0.669241455E+00-0.400000000E+00 0.669241455E+00 --0.420000000E+00 0.669241455E+00-0.440000000E+00 0.669241455E+00-0.460000000E+00 - 0.690312366E+00-0.460000000E+00 0.711383276E+00-0.460000000E+00 0.732454187E+00 --0.460000000E+00 0.753525098E+00-0.460000000E+00 0.774596008E+00-0.460000000E+00 - 0.795666919E+00-0.460000000E+00 0.816737830E+00-0.460000000E+00 0.837808740E+00 --0.460000000E+00 0.858879651E+00-0.460000000E+00 0.879950562E+00-0.460000000E+00 - 0.879950562E+00-0.480625000E+00 0.879950562E+00-0.501250000E+00 0.879950562E+00 --0.521875000E+00 0.879950562E+00-0.542500000E+00 0.879950562E+00-0.563125000E+00 - 0.879950562E+00-0.583750000E+00 0.879950562E+00-0.604375000E+00 0.879950562E+00 --0.625000000E+00 0.890076172E+00-0.625000000E+00 0.890076172E+00-0.630996021E+00 - 0.890076172E+00-0.636992041E+00 0.890076172E+00-0.648984082E+00 0.890076172E+00 --0.660976123E+00 0.890076172E+00-0.672968164E+00 0.890076172E+00-0.684960205E+00 - 0.890076172E+00-0.696952246E+00 0.890076172E+00-0.708944287E+00 0.890076172E+00 --0.714940308E+00 0.890076172E+00-0.720936328E+00 0.890076172E+00-0.729295410E+00 - 0.890076172E+00-0.744920410E+00 0.911953033E+00-0.744920410E+00 0.933829895E+00 --0.744920410E+00 0.955706757E+00-0.744920410E+00 0.977583618E+00-0.744920410E+00 - 0.999460480E+00-0.744920410E+00 0.102133734E+01-0.744920410E+00 0.104321420E+01 --0.744920410E+00 0.106509106E+01-0.744920410E+00 0.106509108E+01-0.729295410E+00 - 0.106509109E+01-0.720936328E+00 0.106509109E+01-0.714940308E+00 0.106509110E+01 --0.708944287E+00 0.106509111E+01-0.696952246E+00 0.106509113E+01-0.684960205E+00 - 0.106509114E+01-0.672968164E+00 0.106509115E+01-0.660976123E+00 0.106509116E+01 --0.648984082E+00 0.106509117E+01-0.636992041E+00 0.106509118E+01-0.630996021E+00 - 0.106509119E+01-0.625000000E+00 0.107583414E+01-0.625000000E+00 0.108657709E+01 --0.625000000E+00 0.110806299E+01-0.625000000E+00 0.112954889E+01-0.625000000E+00 - 0.115103479E+01-0.625000000E+00 0.117252069E+01-0.625000000E+00 0.119400659E+01 --0.625000000E+00 0.121549249E+01-0.625000000E+00 0.123697839E+01-0.625000000E+00 - 0.125846429E+01-0.625000000E+00 0.127995020E+01-0.625000000E+00 0.127995020E+01 --0.604375000E+00 0.127995020E+01-0.583750000E+00 0.127995020E+01-0.563125000E+00 - 0.127995020E+01-0.542500000E+00 0.127995020E+01-0.521875000E+00 0.127995020E+01 --0.501250000E+00 0.127995020E+01-0.480625000E+00 0.127995020E+01-0.460000000E+00 - 0.130193477E+01-0.460000000E+00 0.132391934E+01-0.460000000E+00 0.134590391E+01 --0.460000000E+00 0.136788848E+01-0.460000000E+00 0.138987305E+01-0.460000000E+00 - 0.138988210E+01-0.445083037E+00 0.138988684E+01-0.437270538E+00 0.139546301E+01 --0.439130577E+00 0.140103918E+01-0.440990616E+00 0.140661536E+01-0.442850655E+00 - 0.141219153E+01-0.444710693E+00 0.142334387E+01-0.448430771E+00 0.143449622E+01 --0.452150848E+00 0.144197878E+01-0.454646799E+00 0.144938984E+01-0.457118901E+00 - 0.145680090E+01-0.459591003E+00 0.146358186E+01-0.439263572E+00 0.147036281E+01 --0.418936140E+00 0.147714376E+01-0.398608708E+00 0.148392472E+01-0.378281276E+00 - 0.149070567E+01-0.357953844E+00 0.149748662E+01-0.337626413E+00 0.150426758E+01 --0.317298981E+00 0.149685652E+01-0.314826874E+00 0.149103032E+01-0.312883431E+00 - 0.148520412E+01-0.310939987E+00 0.147567239E+01-0.307760490E+00 0.146614067E+01 --0.304580994E+00 0.145660894E+01-0.301401497E+00 0.144707721E+01-0.298222000E+00 - 0.143754548E+01-0.295042503E+00 0.142801375E+01-0.291863007E+00 0.142324789E+01 --0.290273258E+00 0.141848203E+01-0.288683510E+00 0.140895030E+01-0.285504013E+00 - 0.139941857E+01-0.282324516E+00 0.139465270E+01-0.280734768E+00 0.138988684E+01 --0.279145020E+00 0.138988522E+01-0.268553175E+00 0.138988361E+01-0.257961331E+00 - 0.138988037E+01-0.236777643E+00 0.138987714E+01-0.215593955E+00 0.139237378E+01 --0.195000000E+00 0.140320028E+01-0.195000000E+00 0.141402678E+01-0.195000000E+00 - 0.142485328E+01-0.195000000E+00 0.143567979E+01-0.195000000E+00 0.144650629E+01 --0.195000000E+00 0.145733279E+01-0.195000000E+00 0.147898579E+01-0.195000000E+00 - 0.149282629E+01-0.195000000E+00 0.150063879E+01-0.195000000E+00 0.150063879E+01 --0.174473684E+00 0.150063879E+01-0.153947368E+00 0.150063879E+01-0.133421053E+00 - 0.150063879E+01-0.112894737E+00 0.150063879E+01-0.923684211E-01 0.150063879E+01 --0.718421053E-01 0.150063879E+01-0.513157895E-01 0.150063879E+01-0.307894737E-01 - 0.150063879E+01-0.102631579E-01 0.150063879E+01 0.102631579E-01 0.150063879E+01 - 0.307894737E-01 0.150063879E+01 0.513157895E-01 0.150063879E+01 0.718421053E-01 - 0.150063879E+01 0.923684211E-01 0.150063879E+01 0.112894737E+00 0.150063879E+01 - 0.133421053E+00 0.150063879E+01 0.153947368E+00 0.150063879E+01 0.174473684E+00 - 0.150063879E+01 0.195000000E+00 0.149282629E+01 0.195000000E+00 0.147898579E+01 - 0.195000000E+00 0.145733279E+01 0.195000000E+00 0.144650629E+01 0.195000000E+00 - 0.143567979E+01 0.195000000E+00 0.142485328E+01 0.195000000E+00 0.141402678E+01 - 0.195000000E+00 0.140320028E+01 0.195000000E+00 0.139237378E+01 0.195000000E+00 - 0.138986901E+01 0.215135725E+00 0.138986114E+01 0.235861182E+00 0.138985721E+01 - 0.246223911E+00 0.138985327E+01 0.256586639E+00 0.139496354E+01 0.258205029E+00 - 0.140007381E+01 0.259823418E+00 0.141029434E+01 0.263060196E+00 0.142051488E+01 - 0.266296974E+00 0.143073541E+01 0.269533752E+00 0.144095595E+01 0.272770531E+00 - 0.145117648E+01 0.276007309E+00 0.146416963E+01 0.280122154E+00 0.147161755E+01 - 0.282480865E+00 0.146514580E+01 0.302909149E+00 0.145867405E+01 0.323337433E+00 - 0.145220231E+01 0.343765717E+00 0.144573056E+01 0.364194000E+00 0.143925881E+01 - 0.384622284E+00 0.143278706E+01 0.405050568E+00 0.142631531E+01 0.425478851E+00 - 0.141886738E+01 0.423120133E+00 0.141141946E+01 0.420761414E+00 0.140602791E+01 - 0.419053940E+00 0.140063636E+01 0.417346466E+00 0.139524482E+01 0.415638992E+00 - 0.150063879E+01 0.195000000E+00 From 69b9a10a2c7cc5e54112ea0868cd0c28a4bce349 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 14:15:48 -0400 Subject: [PATCH 08/14] feat: update project configuration and dependencies - Updated pyproject.toml to use hatchling as the build backend. - Added xarray and contourpy as dependencies. - Specified optional dependency for netCDF4. - Defined project scripts for CLI entry point. - Excluded unnecessary files from the build. - Updated uv.lock to reflect new dependency versions and editable source. --- .gitignore | 7 +- README.MD | 107 +- example_run.py | 23 +- openpopcon/__init__.py | 4 +- openpopcon/cli.py | 2 +- openpopcon/core.py | 205 +- openpopcon/lib/openpopcon_util.py | 37 +- .../resources/examples/MANTA/manta_ex.ipynb | 5291 +---------------- .../resources/examples/NSF/NSF_run.ipynb | 183 +- .../resources/examples/NSF/makeNSFprofiles.py | 4 +- .../resources/examples/SPARC/SPARC_EX.ipynb | 579 +- pyproject.toml | 26 +- uv.lock | 7 +- 13 files changed, 311 insertions(+), 6164 deletions(-) diff --git a/.gitignore b/.gitignore index c2e34d9..8d93c64 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1,11 @@ .conda .conda/* -__* +__pycache__/ .vscode -outputs/* +OpenPOPCON_outputs/ .venv POPCON.png single_point.png +dist/ +build/ +*.egg-info/ diff --git a/README.MD b/README.MD index e103abc..fbc23f0 100644 --- a/README.MD +++ b/README.MD @@ -5,28 +5,70 @@ OpenPOPCON is a tool for scoping Tokamak design and operation with 0-D fitted sc ## Installation -We recommend the use of miniconda to manage the python environment. On a cluster, you may use `module load anaconda` to load anaconda. If you are running on your private machine, see [the anaconda project](https://docs.anaconda.com/miniconda/) for installation instructions. +**With pip.** This installs the package and its dependencies, and works from anywhere afterwards: -To install the required packages, run `conda env create -f environment.yml` in the root directory of this repository. This will create a new environment called `openpopcon` with all the required packages. From here, you can activate the environment with `conda activate openpopcon`. +```bash +pip install git+https://github.com/hansec/OpenPOPCON.git +``` + +**From a clone, with uv.** If you have [uv](https://docs.astral.sh/uv/), nothing needs installing: + +```bash +uv run example_run.py # writes POPCON.png and single_point.png +uv run --extra notebooks jupyter lab +``` + +**From a clone, with conda.** We recommend miniconda to manage the python environment. On a cluster, you may use `module load anaconda` to load anaconda. If you are running on your private machine, see [the anaconda project](https://docs.anaconda.com/miniconda/) for installation instructions. + +Run `conda env create -f environment.yml` in the root directory of this repository. This creates an environment called `openpopcon`, which you activate with `conda activate openpopcon`. ## Usage -Example notebooks are found under `resources/examples`. However, generally, the steps are: +`example_run.py` is a complete working example; run it first to check your installation. + +Worked examples for several machines ship with the package. The installed copies are read only, so to get a set you can edit: + +```bash +openpopcon examples ./my_scans +cd my_scans/MANTA +``` + +Each example directory has its own settings file, a notebook, and where applicable a gEQDSK and a profiles file. ```python # 1. Import the POPCON class import openpopcon as op -# 2. Load the settings files; make sure to create these, see the examples for a template -pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile, scalinglawfile=scalinglawfile) +# 2. Load the settings files; make sure to create these, see the examples for a template. +# scalinglawfile and plotsettingsfile both fall back to the copies shipped +# with the package if you leave them out. +pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile) # 3. Run the code pc.run_POPCON() # 4. Plot the results pc.plot() + +# 5. Or look at one operating point in detail, here 60% of the Greenwald +# density at 9 keV volume-averaged Ti +pc.single_point(0.6, 9.0) +``` + +`gfilename` and `profsfilename` inside a settings file are resolved relative to that settings file, so an example directory works wherever you copy it. The paths you pass to `POPCON(...)` are resolved relative to wherever you are running. + +Results written with `pc.write_output()` go to `./OpenPOPCON_outputs/`, or to whatever you pass as `directory=`. + +If a settings file has a mistake in it, OpenPOPCON reports every problem it finds at once, rather than stopping at the first: + +``` +ValueError: Found 2 problem(s) in .../POPCON_input_example.yaml: + - scalinglaw 'H98' is not defined. Available: H89, H98y2, H_NT23. + - Tmin_keV (11.0) must be less than Tmax_keV (6.0). ``` +Grid points where power balance has no physical solution are reported in aggregate after a run and masked out of the plot. + ## Bibliography [1] H.-S. Bosch and G. M. Hale, *Improved Formulas for Fusion Cross-Sections and Thermal Reactivities,* Nucl. Fusion **32**, 611 (1992). @@ -54,24 +96,37 @@ pc.plot() image -OpenPOPCON employs a relaxation algorithm instead of solving power balance directly. This means it can often take quite long to converge on an answer compared to a code that would solve the problem explicitly. However, we have taken an approach with [numba](https://numba.pydata.org/) to speed up the code. This means that the code is compiled to machine code and can be run much faster than a traditional python code. To make full use of this feature, run OpenPOPCON from a Jupyter notebook. Every time you restart the Jupyter notebook, the code will be recompiled. The code structure is as follows: +Power balance is solved in closed form. With the impurity fraction held fixed, every power integral at a given (n, T) is fixed, and the only self-consistency is that the confinement time is a power law in the heating power, `tauE = K * P_heat^alpha`. That makes the balance a single scalar equation with an exact root: + +``` +P_heat = (W_tot / K)^(1/(1+alpha)) +P_aux = P_heat - P_OH - P_fus_heat + P_brem + P_synch +``` + +so there is no iteration, no convergence tolerance, and no points that fail to converge. Points with no physical solution, where impurity radiation exceeds the confinement loss or the balance has no real root, are set to `P_aux = 99999`, counted in a summary after the run, and masked out of the plot. + +The numerics are compiled to machine code with [numba](https://numba.pydata.org/). The compiled functions are cached to disk, so the compilation cost is paid the first time the code runs on a machine and not on every session; a second run in a fresh interpreter starts in a second or two. The code structure is as follows: ```python +# module-level, @nb.njit(cache=True), operating on an immutable State namedtuple +def get_profile(s, rho, profid) # J, ne, ni, Ti, Te, q, ... by integer id +def volume_integral(s, rho, func) # integrates dV-like +def P_aux_impfrac(s, n_e_20, T_i_keV) + "Closed-form power balance. Returns (P_aux, flag)." + +# module-level drivers; numba.prange parallelizes like an OMP for collapse(2) +def solve_nT[_par](state, ...) # P_aux over the whole grid, then +def populate_outputs[_par](state, ...) # every other diagnostic from it + class POPCON: """The general class the user interacts with.""" - self.algorithms: POPCON_algorithms: jitted 'class' - self.settings: POPCON_settings: 'class' - self.plotsettings: POPCON_plotsettings: 'class' - self.output: POPCON_data: jitted 'class' - - @njit(parallel=True) + self.algorithms: POPCON_algorithms # sets up State, calls the functions above + self.settings: POPCON_settings + self.plotsettings: POPCON_plotsettings + self.output: POPCON_data # output arrays at power balance + def run_POPCON(self): - """calls a function from self.algorithms and creates a new - openPOPCON_results object. numba.prange allows for - parallelization like an OMP for collapse(2).""" - for i in numba.prange(n_n): - for j in numba.prange(n_T): - self.openPOPCON_params.solve(n, T) + "Sets up and solves the whole n,T grid" def single_point(self, n, T): "Runs a single n,T and plots the solution profiles" def plot(self): @@ -80,20 +135,4 @@ class POPCON: "Reads in a previous solution" def write_output(self): "Writes the current solution to a folder or zip archive" - -@jitclass -class POPCON_algorithms: - """A compiled class that does all numerical calculations.""" - - def P_aux_relax_impfrac: - "Solves the equations for a given n,T, holding impfrac const." - - def get_value(self): - "Helper functions to get all physical parameters" - -@jitclass -class POPCON_data: - """output arrays of physical parameters at power balance""" - - ``` diff --git a/example_run.py b/example_run.py index 395ace3..c8bbbbd 100644 --- a/example_run.py +++ b/example_run.py @@ -1,26 +1,29 @@ """ -Minimal OpenPOPCON run. From the repository root: +Minimal OpenPOPCON run, using the MANTA example that ships with the package. +From a clone of the repository: uv run example_run.py -or, with the conda environment activated: +or, once installed with pip, from anywhere: python example_run.py -Copy resources/examples/MANTA/ somewhere and point settingsfile at your own -copy to start changing the machine. +To start changing the machine, get an editable copy of the examples with +`openpopcon examples ./my_scans` and point settingsfile at one of those. """ +import os + import matplotlib.pyplot as plt -from src import openpopcon as op +import openpopcon as op -settingsfile = "./resources/examples/MANTA/POPCON_input_example.yaml" -plotsettingsfile = "./resources/examples/MANTA/plotsettings.yml" -scalinglawfile = "./resources/scalinglaws.yml" +manta = op.example_dir('MANTA') +settingsfile = os.path.join(manta, 'POPCON_input_example.yaml') +plotsettingsfile = os.path.join(manta, 'plotsettings.yml') +# scalinglawfile defaults to the copy shipped with the package pc = op.POPCON(settingsfile=settingsfile, - plotsettingsfile=plotsettingsfile, - scalinglawfile=scalinglawfile) + plotsettingsfile=plotsettingsfile) # solve power balance over the whole density/temperature grid pc.run_POPCON() diff --git a/openpopcon/__init__.py b/openpopcon/__init__.py index 51376f8..8fcee91 100644 --- a/openpopcon/__init__.py +++ b/openpopcon/__init__.py @@ -19,9 +19,9 @@ POPCON_scan, POPCON_settings, POPCON_plotsettings, - POPCON_data, POPCON_algorithms, POPCON_data_spec, + build_dataset, ) from .lib.openpopcon_util import example_dir, list_examples @@ -32,9 +32,9 @@ 'POPCON_scan', 'POPCON_settings', 'POPCON_plotsettings', - 'POPCON_data', 'POPCON_algorithms', 'POPCON_data_spec', + 'build_dataset', 'example_dir', 'list_examples', '__version__', diff --git a/openpopcon/cli.py b/openpopcon/cli.py index cca5629..772e432 100644 --- a/openpopcon/cli.py +++ b/openpopcon/cli.py @@ -20,7 +20,7 @@ def _copy_examples(dest: pathlib.Path, force: bool, which=None) -> int: existing = [n for n in names if dest.joinpath(n).exists()] if existing and not force: - print(f"{dest}{pathlib.os.sep}{{{','.join(existing)}}} already exists. " + print(f"Already present in {dest}: {', '.join(existing)}. " f"Use --force to overwrite.", file=sys.stderr) return 1 diff --git a/openpopcon/core.py b/openpopcon/core.py index 31a9be4..e310d31 100644 --- a/openpopcon/core.py +++ b/openpopcon/core.py @@ -24,6 +24,7 @@ import json import os import re +import xarray as xr from .lib.openpopcon_util import * import numba as nb from collections import namedtuple @@ -35,8 +36,13 @@ # resistivity_model in the settings file -> resistivity_alg on the State RESISTIVITY_MODELS = {"jardin": 0, "paz-soldan": 1, "maximum": 2, "max": 2} -# why a grid point has no physical solution. P_aux is set to 99999 for all of -# these; the flag survives so the reason can be reported +__version__ = "2.0.0" + +# P_aux at a grid point with no physical solution. Plotting masks on this. +UNPHYSICAL = 99999. + +# why a grid point has no physical solution. P_aux is set to UNPHYSICAL for all +# of these; the flag survives so the reason can be reported INVALID_OK = 0 INVALID_IMPRAD = 1 INVALID_NAN = 2 @@ -70,8 +76,8 @@ 'err': "the solver is closed-form and has no convergence tolerance", } -DEFAULT_PLOTSETTINGS = get_POPCON_homedir(['resources','default_plotsettings.yml']) -DEFAULT_SCALINGLAWS = get_POPCON_homedir(['resources','scalinglaws.yml']) +DEFAULT_PLOTSETTINGS = package_resource('default_plotsettings.yml') +DEFAULT_SCALINGLAWS = package_resource('scalinglaws.yml') # core of calculations # jit compiled. Module level so cache=True works; jitclasses can't cache @@ -1246,47 +1252,60 @@ def read(self, filename: str) -> None: ComputedOutputs = namedtuple('ComputedOutputs', COMPUTED_FIELDS) -# NOT jit compiled -class POPCON_data: - """ - Class POPCON_data +# Output is an xarray Dataset over these two dimensions. The seven 1-D arrays +# are the different ways of labelling the two axes, so they are all coordinates; +# everything else is 2-D. The dimensions are not called 'n'/'T' because Dataset.T +# is transpose. +DIM_N, DIM_T = 'n_index', 'T_index' +AXES_N = ('n_G_frac', 'n_e_20_max', 'n_e_20_avg') +AXES_T = ('T_i_max', 'T_i_avg', 'T_e_max', 'T_e_avg') + +UNITS = { + 'n_G_frac': '', 'n_e_20_max': '1e20 m^-3', 'n_e_20_avg': '1e20 m^-3', + 'n_i_20_max': '1e20 m^-3', 'n_i_20_avg': '1e20 m^-3', + 'T_i_max': 'keV', 'T_i_avg': 'keV', 'T_e_max': 'keV', 'T_e_avg': 'keV', + 'Paux': 'MW', 'Pfusion': 'MW', 'Pfusionheating': 'MW', 'Pohmic': 'MW', + 'Pbrems': 'MW', 'Psynch': 'MW', 'Pimprad': 'MW', 'Prad': 'MW', + 'Pheat': 'MW', 'Pconf': 'MW', 'Ploss': 'MW', 'Pdd': 'MW', 'Pdt': 'MW', + 'Palpha': 'MW', 'Psol': 'MW', 'Wtot': 'MJ', 'tauE': 's', + 'f_rad': '', 'Q': '', 'H89': '', 'H98': '', 'vloop': 'V', 'betaN': '', +} - Output data class for the POPCON. Contains all output arrays. - """ - def __init__(self) -> None: - self.n_G_frac: np.ndarray - self.n_e_20_max: np.ndarray - self.n_e_20_avg: np.ndarray - self.n_i_20_max: np.ndarray - self.n_i_20_avg: np.ndarray - self.T_i_max: np.ndarray - self.T_i_avg: np.ndarray - self.T_e_max: np.ndarray - self.T_e_avg: np.ndarray - self.Paux: np.ndarray - self.Pfusion: np.ndarray - self.Pfusionheating: np.ndarray - self.Pohmic: np.ndarray - self.Pbrems: np.ndarray - self.Psynch: np.ndarray - self.Pimprad: np.ndarray - self.Prad: np.ndarray - self.Pheat: np.ndarray - self.Wtot: np.ndarray - self.tauE: np.ndarray - self.Pconf: np.ndarray - self.Ploss: np.ndarray - self.Pdd: np.ndarray - self.Pdt: np.ndarray - self.Palpha: np.ndarray - self.Psol: np.ndarray - self.f_rad: np.ndarray - self.Q: np.ndarray - self.H89: np.ndarray - self.H98: np.ndarray - self.vloop: np.ndarray - self.betaN: np.ndarray - pass + +def build_dataset(grids: dict, settings=None, scalinglaws=None): + """ + Packs the solved arrays into an xarray Dataset. The 1-D axis arrays become + coordinates so that results can be selected against any of them, e.g. + ds.sel(T_index=ds.T_i_avg.searchsorted(10)); everything else is a 2-D + variable over (density, temperature). + """ + coords = {} + for name in AXES_N: + coords[name] = (DIM_N, np.asarray(grids[name])) + for name in AXES_T: + coords[name] = (DIM_T, np.asarray(grids[name])) + + data_vars = {name: ((DIM_N, DIM_T), np.asarray(arr)) + for name, arr in grids.items() + if name not in AXES_N and name not in AXES_T} + + ds = xr.Dataset(data_vars=data_vars, coords=coords) + for name, var in list(ds.variables.items()): + if name in UNITS and UNITS[name]: + var.attrs['units'] = UNITS[name] + ds['Paux'].attrs['note'] = ( + f'{UNPHYSICAL} marks a point with no physical solution') + + if settings is not None: + ds.attrs['machine'] = str(getattr(settings, 'name', '')) + ds.attrs['settings'] = json.dumps( + {k: (v.tolist() if isinstance(v, np.ndarray) else v) + for k, v in vars(settings).items() + if isinstance(v, (int, float, str, bool, np.ndarray))}) + if scalinglaws is not None: + ds.attrs['scalinglaws'] = json.dumps(scalinglaws) + ds.attrs['openpopcon_version'] = __version__ + return ds # NOT jit compiled class POPCON_plotsettings: @@ -1319,7 +1338,8 @@ def read(self, filename: str) -> None: else: raise ValueError('Filename must end with .yaml or .yml') - defaults = yaml.safe_load(open(get_POPCON_homedir(['resources','default_plotsettings.yml']), 'r')) + with open(DEFAULT_PLOTSETTINGS, 'r') as f: + defaults = yaml.safe_load(f) self.plotoptions = {} for key in defaults['plotoptions']: @@ -1347,7 +1367,7 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile self.algorithms: POPCON_algorithms self.settings: POPCON_settings self.plotsettings: POPCON_plotsettings - self.output: POPCON_data + self.output: xr.Dataset # these are kept as absolute paths so that write_output can still copy # them if the working directory has changed since construction @@ -1424,38 +1444,39 @@ def __solve(self) -> None: T_i_keV = np.linspace(self.settings.Tmin_keV/T_i_avg_fac, self.settings.Tmax_keV/T_i_avg_fac, self.settings.NTi) T_e_keV = T_i_keV/self.settings.tipeak_over_tepeak - self.output = POPCON_data() - self.output.n_G_frac = np.linspace(self.settings.nmin_frac, self.settings.nmax_frac, self.settings.Nn) - self.output.n_e_20_max = n_e_20 - self.output.n_e_20_avg = n_e_20 * n_e_avg_fac - self.output.T_i_max = T_i_keV - self.output.T_i_avg = T_i_keV * T_i_avg_fac - self.output.T_e_max = T_e_keV - self.output.T_e_avg = T_e_keV * T_e_avg_fac - + axes = { + 'n_G_frac': np.linspace(self.settings.nmin_frac, self.settings.nmax_frac, self.settings.Nn), + 'n_e_20_max': n_e_20, + 'n_e_20_avg': n_e_20 * n_e_avg_fac, + 'T_i_max': T_i_keV, + 'T_i_avg': T_i_keV * T_i_avg_fac, + 'T_e_max': T_e_keV, + 'T_e_avg': T_e_keV * T_e_avg_fac, + } + if self.settings.verbosity > 0: print("Solving power balance equations") if self.settings.parallel: Paux, flags = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.verbosity) + n_e_20, T_i_keV) else: Paux, flags = solve_nT(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV, self.settings.verbosity) + n_e_20, T_i_keV) if self.settings.verbosity > 0: print("Power balance solutions found. Populating output arrays.") self.__report_invalid(flags) - self.output.Paux = Paux if self.settings.parallel: computed = populate_outputs_par(params.state, n_e_20, T_i_keV, T_e_keV, Paux, - self.settings.Nn, self.settings.NTi, self.settings.verbosity) + self.settings.Nn, self.settings.NTi) else: computed = populate_outputs(params.state, n_e_20, T_i_keV, T_e_keV, Paux, - self.settings.Nn, self.settings.NTi, self.settings.verbosity) - for name in computed._fields: - setattr(self.output, name, getattr(computed, name)) + self.settings.Nn, self.settings.NTi) + + grids = dict(axes, Paux=Paux, **computed._asdict()) + self.output = build_dataset(grids, self.settings, self.scalinglaws) pass @@ -1775,7 +1796,7 @@ def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, dir name = re.sub(r'[^A-Za-z0-9._-]+', '_', self.settings.name) + '_' + stamp if directory is None: - outputsdir = pathlib.Path(__file__).resolve().parent.parent.joinpath('outputs') + outputsdir = pathlib.Path.cwd().joinpath('OpenPOPCON_outputs') else: outputsdir = pathlib.Path(directory) @@ -1798,13 +1819,7 @@ def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, dir shutil.copyfile(self.plotsettingsfile, savedir.joinpath('plotsettings.yaml')) shutil.copyfile(self.scalinglawfile, savedir.joinpath('scalinglaws.yaml')) - writedata = {} - keys = POPCON_data_spec - for key in keys: - writedata[key[0]] = getattr(self.output,key[0]) - - with open(savedir.joinpath('arrays.json'), 'w') as f: - json.dump(writedata, f, cls=nj.CompactJSONEncoder) + self.output.to_netcdf(savedir.joinpath('arrays.nc')) if self.settings.gfilename != '': shutil.copyfile(self.settings.gfilename, savedir.joinpath(self.settings.gfilename.split(str(os.sep))[-1])) @@ -1815,21 +1830,26 @@ def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, dir plt.close('all') if archive: - shutil.make_archive(name, 'zip', savedir) + written = outputsdir.joinpath(name + '.zip') + shutil.make_archive(str(outputsdir.joinpath(name)), 'zip', savedir) shutil.rmtree(savedir) - shutil.move(name+'.zip', outputsdir.joinpath(name+'.zip')) + else: + written = savedir + + print(f"Wrote output to {written}") + return def read_output(self, name: str, directory: str = None) -> None: """ Restores the POPCON object based on the output directory. """ if directory is None: - outputsdir = pathlib.Path(__file__).resolve().parent.parent.joinpath('outputs') + outputsdir = pathlib.Path.cwd().joinpath('OpenPOPCON_outputs') else: outputsdir = pathlib.Path(directory) if name.endswith('.zip'): - outputsdir.joinpath(name[:-4]).mkdir(parents=True) + outputsdir.joinpath(name[:-4]).mkdir(parents=True, exist_ok=True) shutil.unpack_archive(outputsdir.joinpath(name), outputsdir.joinpath(name[:-4])) name = name[:-4] namepath = outputsdir.joinpath(name) @@ -1840,11 +1860,18 @@ def read_output(self, name: str, directory: str = None) -> None: self.plotsettings = POPCON_plotsettings(self.plotsettingsfile) self.__get_scaling_laws(self.scalinglawfile) - self.output = POPCON_data() - with open(namepath.joinpath('arrays.json'), 'r') as f: - data = json.load(f) - for key in data.keys(): - setattr(self.output, key, np.array(data[key], dtype=np.float64)) + ncpath = namepath.joinpath('arrays.nc') + jsonpath = namepath.joinpath('arrays.json') + if ncpath.is_file(): + self.output = xr.load_dataset(ncpath) + elif jsonpath.is_file(): + # archives written before the netCDF switch + with open(jsonpath, 'r') as f: + data = json.load(f) + self.output = build_dataset( + {k: np.array(v, dtype=np.float64) for k, v in data.items()}) + else: + raise FileNotFoundError(f"No arrays.nc or arrays.json in {namepath}.") if self.settings.gfilename != '': self.settings.gfilename = str(namepath.joinpath(self.settings.gfilename.split(str(os.sep))[-1])) if self.settings.profsfilename != '': @@ -2098,7 +2125,7 @@ def update_plotsettings(self, plotsettingsfile = None): @nb.njit(parallel=True, cache=True) def solve_nT_par(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, verbosity=1): + n_e_20:np.ndarray, T_i_keV:np.ndarray): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. @@ -2109,16 +2136,13 @@ def solve_nT_par(state, nn:int, nT:int, for i in nb.prange(nn): for j in nb.prange(nT): - if verbosity > 1: - print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) return Paux, flags @nb.njit(parallel=False, cache=True) def solve_nT(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray, verbosity=1): + n_e_20:np.ndarray, T_i_keV:np.ndarray): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. @@ -2129,16 +2153,13 @@ def solve_nT(state, nn:int, nT:int, for i in nb.prange(nn): for j in nb.prange(nT): - if verbosity > 1: - print("Running n20=",n_e_20[i],", T=",T_i_keV[j]," keV") - Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) return Paux, flags @nb.njit(parallel=True, cache=True) -def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, verbosity=1): +def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): """ Compiling this function is handy as it allows for parallelization of the most computationally expensive @@ -2172,8 +2193,6 @@ def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, ver betaN = np.empty((Nn,NTi),dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): - if verbosity > 1: - print("Populating n20=",n_e_20_max[i],", T=",T_i_max[j]," keV") dil = plasma_dilution(state, T_e_max[j]) n_i_20_max[i,j] = n_e_20_max[i]*dil n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V @@ -2207,7 +2226,7 @@ def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, ver @nb.njit(parallel=False, cache=True) -def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, verbosity=1): +def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): """ Compiling this function is handy as it allows for parallelization of the most computationally expensive @@ -2241,8 +2260,6 @@ def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi, verbosi betaN = np.empty((Nn,NTi),dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): - if verbosity > 1: - print("Populating n20=",n_e_20_max[i],", T=",T_i_max[j]," keV") dil = plasma_dilution(state, T_e_max[j]) n_i_20_max[i,j] = n_e_20_max[i]*dil n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V @@ -2281,7 +2298,7 @@ class POPCON_scan(POPCON): Placeholder class for running scans. Inherits from POPCON. """ def __init__(self) -> None: - self.datas: list[POPCON_data] + self.datas: list self.algorithms_list: list[POPCON_algorithms] self.settings: POPCON_settings self.plotsettings: list[POPCON_plotsettings] diff --git a/openpopcon/lib/openpopcon_util.py b/openpopcon/lib/openpopcon_util.py index af91599..295c85a 100644 --- a/openpopcon/lib/openpopcon_util.py +++ b/openpopcon/lib/openpopcon_util.py @@ -1,6 +1,7 @@ import numpy as np import contourpy as cntr import csv +import importlib.resources import os import pathlib import numba as nb @@ -23,8 +24,40 @@ def yaml_edit(filename, key, value) -> None: return -def get_POPCON_homedir(path=[]): - return str(pathlib.Path(__file__).resolve().parent.parent.parent) + os.sep + str(os.sep).join(path) +def package_resource(*parts) -> str: + """ + Absolute path to a file shipped inside the package, e.g. + package_resource('scalinglaws.yml'). Returned as a str because callers + hand these to os.path.abspath and shutil.copyfile. + """ + path = importlib.resources.files('openpopcon').joinpath('resources', *parts) + if not path.is_file(): + raise FileNotFoundError( + f"Packaged resource {os.sep.join(parts)!r} is missing from {path}. " + "This usually means the package was installed without its data files.") + return str(path) + + +def list_examples() -> list: + """ + Names of the worked examples shipped with the package. + """ + exdir = importlib.resources.files('openpopcon').joinpath('resources', 'examples') + return sorted(p.name for p in exdir.iterdir() if p.is_dir()) + + +def example_dir(name: str) -> str: + """ + Absolute path to a shipped example directory, e.g. example_dir('MANTA'). + + These are read-only once installed. Use `openpopcon examples ` to get + an editable copy. + """ + exdir = importlib.resources.files('openpopcon').joinpath('resources', 'examples', name) + if not exdir.is_dir(): + raise FileNotFoundError( + f"No example named {name!r}. Available: {', '.join(list_examples())}.") + return str(exdir) def read_eqdsk(filename): ''' Taken from OpenFUSION toolkit. Perhaps do an import instead? diff --git a/openpopcon/resources/examples/MANTA/manta_ex.ipynb b/openpopcon/resources/examples/MANTA/manta_ex.ipynb index d5632f1..a60fd4e 100644 --- a/openpopcon/resources/examples/MANTA/manta_ex.ipynb +++ b/openpopcon/resources/examples/MANTA/manta_ex.ipynb @@ -10,21 +10,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import sys\n", - "import pathlib\n", - "OP_HOME = '../../../'\n", - "sys.path.append(str(pathlib.Path(OP_HOME).resolve())) \n", - "#–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\n", - "# ^^^ This must be done to import the openpopcon module from the src directory.\n", - "# When running this from another directory, change the OP_HOME variable to the\n", - "# path of the openpopcon directory.\n", - "#–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\n", "import numpy as np\n", - "from src import openpopcon as op\n", + "import openpopcon as op\n", "\n", "%matplotlib qt\n", "%reload_ext autoreload\n", @@ -46,25 +37,15 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Impurity fractions = [0.025 0. 0. 0.00122461 0. 0. ] calculated from Zeff_target.\n" - ] - } - ], + "outputs": [], "source": [ "settingsfile = \"./POPCON_input_example.yaml\"\n", "plotsettingsfile = \"./plotsettings.yml\"\n", - "scalinglawfile = f\"{OP_HOME}/resources/scalinglaws.yml\"\n", "\n", "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile, \n", - " scalinglawfile=scalinglawfile)" + " plotsettingsfile=plotsettingsfile, " ] }, { @@ -80,5108 +61,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "gEQDSK geometry:\n", - "Minor radius: 1.1994801681532419\n", - "Major radius: 4.550482081828347\n", - "Elongation: 1.39990598739843\n", - "Triangularity: -0.4490115238844408\n", - "z0: -1.3209168668870674e-06\n", - "gEQDSK Ip: 10.001901131483173\n", - "Len of psin: 50\n", - "Len of sqrtpsin: 200\n", - "Len of volgrid: 200\n", - "Len of jrms: 200\n", - "Len of qr: 200\n", - "Len of agrid: 200\n", - "Len of ftrapped_profile: 200\n", - "(200,)\n", - "Warning: gEQDSK triangularity (-0.4490115238844408) differs significantly from settings delta (-0.5). Defaulting to gEQDSK value.\n", - "Setting up algorithm object\n", - "Solving power balance equations\n", - "Running n20=Running n20= 2.0177782820879795 , T= 13.32087086623603 keV\n", - "Running n20= 2.53295571581257 , T= 13.32087086623603 keV\n", - " 0.9015605090180334 , T= 13.32087086623603 keV\n", - "Running n20= 1.2020806786907112 , T= 13.32087086623603 keV\n", - "Running n20= 1.502600848363389 , T= 13.32087086623603 keV\n", - "Running n20= 1.7601895652256843 , T= 13.32087086623603 keV\n", - "Running n20= 2.7905444326748654 , T= 13.32087086623603 keV\n", - "Running n20= 2.2753669989502745 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.502600848363389 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.502600848363389 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2020806786907112 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.2020806786907112 , T= 13.5474162891312 keV\n", - "Running n20= 0.9015605090180334 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.53295571581257 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.53295571581257 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7905444326748654 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.7905444326748654 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.7601895652256843 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.7601895652256843 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.0177782820879795 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.0177782820879795 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.2753669989502745 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.2753669989502745 , T= 13.5474162891312 keV\n", - "Running n20= 1.502600848363389 , T= 13.77396171202637 keV\n", - "Running n20= 1.2020806786907112 , T= 13.77396171202637 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7905444326748654 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.7905444326748654 , T= 13.77396171202637 keV\n", - "Running n20= 1.7601895652256843 , T= 13.77396171202637 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.0177782820879795 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.0177782820879795 , T= 13.77396171202637 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.2753669989502745 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.2753669989502745 , T= 13.77396171202637 keV\n", - "Running n20= 1.502600848363389 , T= 14.000507134921541 keV\n", - "Running n20= 1.2020806786907112 , T= 14.000507134921541 keV\n", - "Running n20= 2.7905444326748654 , T= 14.000507134921541 keV\n", - "Running n20= 1.7601895652256843 , T= 14.000507134921541 keV\n", - "Running n20= 2.0177782820879795 , T= 14.000507134921541 keV\n", - "Running n20= 0.9015605090180334 , T= 13.77396171202637 keV\n", - "Running n20= 1.502600848363389 , T= 14.227052557816712 keV\n", - "Running n20= 1.2020806786907112 , T= 14.227052557816712 keV\n", - "Running n20= 2.2753669989502745 , T= 14.000507134921541 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.53295571581257 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.53295571581257 , T= 13.77396171202637 keV\n", - "Running n20= 2.7905444326748654 , T= 14.227052557816712 keV\n", - "Running n20= 1.7601895652256843 , T= 14.227052557816712 keV\n", - "Running n20= 2.0177782820879795 , T= 14.227052557816712 keV\n", - "Running n20= 1.502600848363389 , T= 14.453597980711884 keV\n", - "Running n20= 1.2020806786907112 , T= 14.453597980711884 keV\n", - "Running n20= 2.53295571581257 , T= 14.000507134921541 keV\n", - "Running n20= 2.7905444326748654 , T= 14.453597980711884 keV\n", - "Running n20= 1.7601895652256843 , T= 14.453597980711884 keV\n", - "Running n20= 2.0177782820879795 , T= 14.453597980711884 keV\n", - "Running n20= 1.502600848363389 , T= 14.680143403607053 keV\n", - "Running n20= 1.2020806786907112 , T= 14.680143403607053 keV\n", - "Running n20= 2.53295571581257 , T= 14.227052557816712 keV\n", - "Running n20= 2.7905444326748654 , T= 14.680143403607053 keV\n", - "Running n20= 1.7601895652256843 , T= 14.680143403607053 keV\n", - "Running n20= 2.0177782820879795 , T= 14.680143403607053 keV\n", - "Running n20= 1.502600848363389 , T= 14.906688826502224 keV\n", - "Running n20= 2.53295571581257 , T= 14.453597980711884 keV\n", - "Running n20= 1.2020806786907112 , T= 14.906688826502224 keV\n", - "Running n20= 2.7905444326748654 , T= 14.906688826502224 keV\n", - "Running n20= 2.0177782820879795 , T= 14.906688826502224 keV\n", - "Running n20= 1.7601895652256843 , T= 14.906688826502224 keV\n", - "Running n20= 1.502600848363389 , T= 15.133234249397393 keV\n", - "Running n20= 2.2753669989502745 , T= 14.227052557816712 keV\n", - "Running n20= 2.53295571581257 , T= 14.680143403607053 keV\n", - "Running n20= 1.2020806786907112 , T= 15.133234249397393 keV\n", - "Running n20= 2.7905444326748654 , T= 15.133234249397393 keV\n", - "Running n20= 0.9015605090180334 , T= 14.000507134921541 keV\n", - "Running n20= 2.0177782820879795 , T= 15.133234249397393 keV\n", - "Running n20= 1.7601895652256843 , T= 15.133234249397393 keV\n", - "Running n20= 1.502600848363389 , T= 15.359779672292564 keV\n", - "Running n20= 2.53295571581257 , T= 14.906688826502224 keV\n", - "Running n20= 1.2020806786907112 , T= 15.359779672292564 keV\n", - "Running n20= 2.7905444326748654 , T= 15.359779672292564 keV\n", - "Running n20= 2.0177782820879795 , T= 15.359779672292564 keV\n", - "Running n20= 1.502600848363389 , T= 15.586325095187735 keV\n", - "Running n20= 1.7601895652256843 , T= 15.359779672292564 keV\n", - "Running n20= 2.53295571581257 , T= 15.133234249397393 keV\n", - "Running n20= 1.2020806786907112 , T= 15.586325095187735 keV\n", - "Running n20= 2.7905444326748654 , T= 15.586325095187735 keV\n", - "Running n20= 2.0177782820879795 , T= 15.586325095187735 keV\n", - "Running n20= 1.502600848363389 , T= 15.812870518082907 keV\n", - "Running n20= 1.7601895652256843 , T= 15.586325095187735 keV\n", - "Running n20= 2.53295571581257 , T= 15.359779672292564 keV\n", - "Running n20= 1.2020806786907112 , T= 15.812870518082907 keV\n", - "Running n20= 0.9015605090180334 , T= 14.227052557816712 keV\n", - "Running n20= 2.7905444326748654 , T= 15.812870518082907 keV\n", - "Running n20= 2.2753669989502745 , T= 14.453597980711884 keV\n", - "Running n20= 1.502600848363389 , T= 16.039415940978078 keV\n", - "Running n20= 2.0177782820879795 , T= 15.812870518082907 keV\n", - "Running n20= 1.7601895652256843 , T= 15.812870518082907 keV\n", - "Running n20= 2.53295571581257 , T= 15.586325095187735 keV\n", - "Running n20= 1.2020806786907112 , T= 16.039415940978078 keV\n", - "Running n20= 1.502600848363389 , T= 16.265961363873245 keV\n", - "Running n20= 2.2753669989502745 , T= 14.680143403607053 keV\n", - "Running n20= 2.0177782820879795 , T= 16.039415940978078 keV\n", - "Running n20= 1.7601895652256843 , T= 16.039415940978078 keV\n", - "Running n20= 2.53295571581257 , T= 15.812870518082907 keV\n", - "Running n20= 1.2020806786907112 , T= 16.265961363873245 keV\n", - "Running n20= 1.502600848363389 , T= 16.492506786768416 keV\n", - "Running n20= 2.0177782820879795 , T= 16.265961363873245 keV\n", - "Running n20= 2.2753669989502745 , T= 14.906688826502224 keV\n", - "Running n20= 0.9015605090180334 , T= 14.453597980711884 keV\n", - "Running n20= 2.7905444326748654 , T= 16.039415940978078 keV\n", - "Running n20= 2.53295571581257 , T= 16.039415940978078 keV\n", - "Running n20= 1.7601895652256843 , T= 16.265961363873245 keV\n", - "Running n20= 1.502600848363389 , T= 16.719052209663587 keV\n", - "Running n20= 2.0177782820879795 , T= 16.492506786768416 keV\n", - "Running n20= 2.2753669989502745 , T= 15.133234249397393 keV\n", - "Running n20= 0.9015605090180334 , T= 14.680143403607053 keV\n", - "Running n20= 2.7905444326748654 , T= 16.265961363873245 keV\n", - "Running n20= 2.53295571581257 , T= 16.265961363873245 keV\n", - "Running n20= 1.502600848363389 , T= 16.94559763255876 keV\n", - "Running n20= 0.9015605090180334 , T= 14.906688826502224 keV\n", - "Running n20= 2.7905444326748654 , T= 16.492506786768416 keV\n", - "Running n20= 2.2753669989502745 , T= 15.359779672292564 keV\n", - "Running n20= 2.0177782820879795 , T= 16.719052209663587 keV\n", - "Running n20= 1.2020806786907112 , T= 16.492506786768416 keV\n", - "Running n20= 2.53295571581257 , T= 16.492506786768416 keV\n", - "Running n20= 1.7601895652256843 , T= 16.492506786768416 keV\n", - "Running n20= 1.502600848363389 , T= 17.17214305545393 keV\n", - "Running n20= 0.9015605090180334 , T= 15.133234249397393 keV\n", - "Running n20= 2.7905444326748654 , T= 16.719052209663587 keV\n", - "Running n20= 2.2753669989502745 , T= 15.586325095187735 keV\n", - "Running n20= 2.53295571581257 , T= 16.719052209663587 keV\n", - "Running n20= 1.7601895652256843 , T= 16.719052209663587 keV\n", - "Running n20= 1.502600848363389 , T= 17.3986884783491 keV\n", - "Running n20= 0.9015605090180334 , T= 15.359779672292564 keV\n", - "Running n20= 2.7905444326748654 , T= 16.94559763255876 keV\n", - "Running n20= 2.2753669989502745 , T= 15.812870518082907 keV\n", - "Running n20= 2.53295571581257 , T= 16.94559763255876 keV\n", - "Running n20= 1.7601895652256843 , T= 16.94559763255876 keV\n", - "Running n20= 1.502600848363389 , T= 17.625233901244272 keV\n", - "Running n20= 2.0177782820879795 , T= 16.94559763255876 keV\n", - "Running n20= 1.2020806786907112 , T= 16.719052209663587 keV\n", - "Running n20= 0.9015605090180334 , T= 15.586325095187735 keV\n", - "Running n20= 2.7905444326748654 , T= 17.17214305545393 keV\n", - "Running n20= 2.2753669989502745 , T= 16.039415940978078 keV\n", - "Running n20= 2.53295571581257 , T= 17.17214305545393 keV\n", - "Running n20= 1.502600848363389 , T= 17.851779324139443 keV\n", - "Running n20= 1.7601895652256843 , T= 17.17214305545393 keV\n", - "Running n20= 0.9015605090180334 , T= 15.812870518082907 keV\n", - "Running n20= 2.7905444326748654 , T= 17.3986884783491 keV\n", - "Running n20= 2.2753669989502745 , T= 16.265961363873245 keV\n", - "Running n20= 2.53295571581257 , T= 17.3986884783491 keV\n", - "Running n20= 1.502600848363389 , T= 18.07832474703461 keV\n", - "Running n20= 1.2020806786907112 , T= 16.94559763255876 keV\n", - "Running n20= 2.7905444326748654 , T= 17.625233901244272 keV\n", - "Running n20= 0.9015605090180334 , T= 16.039415940978078 keV\n", - "Running n20= 2.2753669989502745 , T= 16.492506786768416 keV\n", - "Running n20= 2.53295571581257 , T= 17.625233901244272 keV\n", - "Running n20= 2.0177782820879795 , T= 17.17214305545393 keV\n", - "Running n20= 1.7601895652256843 , T= 17.3986884783491 keV\n", - "Running n20= 1.502600848363389 , T= 18.30487016992978 keV\n", - "Running n20= 1.2020806786907112 , T= 17.17214305545393 keV\n", - "Running n20= 2.7905444326748654 , T= 17.851779324139443 keV\n", - "Running n20= 0.9015605090180334 , T= 16.265961363873245 keV\n", - "Running n20= 2.53295571581257 , T= 17.851779324139443 keV\n", - "Running n20= 2.0177782820879795 , T= 17.3986884783491 keV\n", - "Running n20= 1.502600848363389 , T= 18.531415592824953 keV\n", - "Running n20= 1.2020806786907112 , T= 17.3986884783491 keV\n", - "Running n20= 2.2753669989502745 , T= 16.719052209663587 keV\n", - "Running n20= 2.7905444326748654 , T= 18.07832474703461 keV\n", - "Running n20= 2.53295571581257 , T= 18.07832474703461 keV\n", - "Running n20= 2.0177782820879795 , T= 17.625233901244272 keV\n", - "Running n20= 1.502600848363389 , T= 18.757961015720124 keV\n", - "Running n20= 1.2020806786907112 , T= 17.625233901244272 keV\n", - "Running n20= 2.2753669989502745 , T= 16.94559763255876 keV\n", - "Running n20= 2.7905444326748654 , T= 18.30487016992978 keV\n", - "Running n20= 2.53295571581257 , T= 18.30487016992978 keV\n", - "Running n20= 2.0177782820879795 , T= 17.851779324139443 keV\n", - "Running n20= 1.502600848363389 , T= 18.98450643861529 keV\n", - "Running n20= 1.2020806786907112 , T= 17.851779324139443 keV\n", - "Running n20= 2.2753669989502745 , T= 17.17214305545393 keV\n", - "Running n20= 2.7905444326748654 , T= 18.531415592824953 keV\n", - "Running n20= 0.9015605090180334 , T= 16.492506786768416 keV\n", - "Running n20= 2.53295571581257 , T= 18.531415592824953 keV\n", - "Running n20= 1.7601895652256843 , T= 17.625233901244272 keV\n", - "Running n20= 1.502600848363389 , T= 19.211051861510462 keV\n", - "Running n20= 2.0177782820879795 , T= 18.07832474703461 keV\n", - "Running n20= 1.2020806786907112 , T= 18.07832474703461 keV\n", - "Running n20= 2.2753669989502745 , T= 17.3986884783491 keV\n", - "Running n20= 2.7905444326748654 , T= 18.757961015720124 keV\n", - "Running n20= 2.53295571581257 , T= 18.757961015720124 keV\n", - "Running n20= 0.9015605090180334 , T= 16.719052209663587 keV\n", - "Running n20= 1.502600848363389 , T= 19.437597284405634 keV\n", - "Running n20= 1.2020806786907112 , T= 18.30487016992978 keV\n", - "Running n20= 2.2753669989502745 , T= 17.625233901244272 keV\n", - "Running n20= 2.7905444326748654 , T= 18.98450643861529 keV\n", - "Running n20= 2.53295571581257 , T= 18.98450643861529 keV\n", - "Running n20= 2.0177782820879795 , T= 18.30487016992978 keV\n", - "Running n20= 0.9015605090180334 , T= 16.94559763255876 keV\n", - "Running n20= 1.502600848363389 , T= 19.664142707300805 keV\n", - "Running n20= 1.2020806786907112 , T= 18.531415592824953 keV\n", - "Running n20= 1.7601895652256843 , T= 17.851779324139443 keV\n", - "Running n20= 2.7905444326748654 , T= 19.211051861510462 keV\n", - "Running n20= 2.53295571581257 , T= 19.211051861510462 keV\n", - "Running n20= 0.9015605090180334 , T= 17.17214305545393 keV\n", - "Running n20= 2.0177782820879795 , T= 18.531415592824953 keV\n", - "Running n20= 2.2753669989502745 , T= 17.851779324139443 keV\n", - "Running n20= 1.502600848363389 , T= 19.890688130195976 keV\n", - "Running n20= 1.2020806786907112 , T= 18.757961015720124 keV\n", - "Running n20= 2.53295571581257 , T= 19.437597284405634 keV\n", - "Running n20= 2.0177782820879795 , T= 18.757961015720124 keV\n", - "Running n20= 0.9015605090180334 , T= 17.3986884783491 keV\n", - "Running n20= 2.2753669989502745 , T= 18.07832474703461 keV\n", - "Running n20= 1.502600848363389 , T= 20.117233553091147 keV\n", - "Running n20= 1.2020806786907112 , T= 18.98450643861529 keV\n", - "Running n20= 2.53295571581257 , T= 19.664142707300805 keV\n", - "Running n20= 2.0177782820879795 , T= 18.98450643861529 keV\n", - "Running n20= 0.9015605090180334 , T= 17.625233901244272 keV\n", - "Running n20= 2.2753669989502745 , T= 18.30487016992978 keV\n", - "Running n20= 1.502600848363389 , T= 20.343778975986318 keV\n", - "Running n20= 1.2020806786907112 , T= 19.211051861510462 keV\n", - "Running n20= 1.7601895652256843 , T= 18.07832474703461 keV\n", - "Running n20= 2.53295571581257 , T= 19.890688130195976 keV\n", - "Running n20= 2.0177782820879795 , T= 19.211051861510462 keV\n", - "Running n20= 0.9015605090180334 , T= 17.851779324139443 keV\n", - "Running n20= 2.2753669989502745 , T= 18.531415592824953 keV\n", - "Running n20= 1.502600848363389 , T= 20.57032439888149 keV\n", - "Running n20= 2.7905444326748654 , T= 19.437597284405634 keV\n", - "Running n20= 1.2020806786907112 , T= 19.437597284405634 keV\n", - "Running n20= 2.53295571581257 , T= 20.117233553091147 keV\n", - "Running n20= 2.0177782820879795 , T= 19.437597284405634 keV\n", - "Running n20= 0.9015605090180334 , T= 18.07832474703461 keV\n", - "Running n20= 2.2753669989502745 , T= 18.757961015720124 keV\n", - "Running n20= 1.502600848363389 , T= 20.796869821776657 keV\n", - "Running n20= 1.2020806786907112 , T= 19.664142707300805 keV\n", - "Running n20= 2.53295571581257 , T= 20.343778975986318 keV\n", - "Running n20= 2.0177782820879795 , T= 19.664142707300805 keV\n", - "Running n20= 1.7601895652256843 , T= 18.30487016992978 keV\n", - "Running n20= 0.9015605090180334 , T= 18.30487016992978 keV\n", - "Running n20= 1.502600848363389 , T= 21.023415244671828 keV\n", - "Running n20= 2.53295571581257 , T= 20.57032439888149 keV\n", - "Running n20= 2.7905444326748654 , T= 19.664142707300805 keV\n", - "Running n20= 2.2753669989502745 , T= 18.98450643861529 keV\n", - "Running n20= 2.0177782820879795 , T= 19.890688130195976 keV\n", - "Running n20= 1.7601895652256843 , T= 18.531415592824953 keV\n", - "Running n20= 0.9015605090180334 , T= 18.531415592824953 keV\n", - "Running n20= 1.502600848363389 , T= 21.249960667567 keV\n", - "Running n20= 1.2020806786907112 , T= 19.890688130195976 keV\n", - "Running n20= 2.53295571581257 , T= 20.796869821776657 keV\n", - "Running n20= 2.7905444326748654 , T= 19.890688130195976 keV\n", - "Running n20= 2.0177782820879795 , T= 20.117233553091147 keV\n", - "Running n20= 1.7601895652256843 , T= 18.757961015720124 keV\n", - "Running n20= 0.9015605090180334 , T= 18.757961015720124 keV\n", - "Running n20= 2.53295571581257 , T= 21.023415244671828 keV\n", - "Running n20= 1.2020806786907112 , T= 20.117233553091147 keV\n", - "Running n20= 2.7905444326748654 , T= 20.117233553091147 keV\n", - "Running n20= 2.0177782820879795 , T= 20.343778975986318 keV\n", - "Running n20= 1.7601895652256843 , T= 18.98450643861529 keV\n", - "Running n20= 0.9015605090180334 , T= 18.98450643861529 keV\n", - "Running n20= 2.53295571581257 , T= 21.249960667567 keV\n", - "Running n20= 1.2020806786907112 , T= 20.343778975986318 keV\n", - "Running n20= 2.2753669989502745 , T= 19.211051861510462 keV\n", - "Running n20= 2.7905444326748654 , T= 20.343778975986318 keV\n", - "Running n20= 2.0177782820879795 , T= 20.57032439888149 keV\n", - "Running n20= 1.7601895652256843 , T= 19.211051861510462 keV\n", - "Running n20= 0.9015605090180334 , T= 19.211051861510462 keV\n", - "Running n20= 2.53295571581257 , T= 21.47650609046217 keV\n", - "Running n20= 1.2020806786907112 , T= 20.57032439888149 keV\n", - "Running n20= 1.502600848363389 , T= 21.47650609046217 keV\n", - "Running n20= 2.7905444326748654 , T= 20.57032439888149 keV\n", - "Running n20= 2.0177782820879795 , T= 20.796869821776657 keV\n", - "Running n20= 1.7601895652256843 , T= 19.437597284405634 keV\n", - "Running n20= 0.9015605090180334 , T= 19.437597284405634 keV\n", - "Running n20= 2.53295571581257 , T= 21.703051513357337 keV\n", - "Running n20= 1.2020806786907112 , T= 20.796869821776657 keV\n", - "Running n20= 2.7905444326748654 , T= 20.796869821776657 keV\n", - "Running n20= 2.0177782820879795 , T= 21.023415244671828 keV\n", - "Running n20= 1.7601895652256843 , T= 19.664142707300805 keV\n", - "Running n20= 0.9015605090180334 , T= 19.664142707300805 keV\n", - "Running n20= 2.53295571581257 , T= 21.92959693625251 keV\n", - "Running n20= 1.2020806786907112 , T= 21.023415244671828 keV\n", - "Running n20= 2.2753669989502745 , T= 19.437597284405634 keV\n", - "Running n20= 2.7905444326748654 , T= 21.023415244671828 keV\n", - "Running n20= 2.0177782820879795 , T= 21.249960667567 keV\n", - "Running n20= 0.9015605090180334 , T= 19.890688130195976 keV\n", - "Running n20= 2.53295571581257 , T= 22.15614235914768 keV\n", - "Running n20= 1.7601895652256843 , T= 19.890688130195976 keV\n", - "Running n20= 1.2020806786907112 , T= 21.249960667567 keV\n", - "Running n20= 1.502600848363389 , T= 21.703051513357337 keV\n", - "Running n20= 2.7905444326748654 , T= 21.249960667567 keV\n", - "Running n20= 2.0177782820879795 , T= 21.47650609046217 keV\n", - "Running n20= 2.53295571581257 , T= 22.38268778204285 keV\n", - "Running n20= 0.9015605090180334 , T= 20.117233553091147 keV\n", - "Running n20= 1.7601895652256843 , T= 20.117233553091147 keV\n", - "Running n20= 1.2020806786907112 , T= 21.47650609046217 keV\n", - "Running n20= 2.7905444326748654 , T= 21.47650609046217 keV\n", - "Running n20= 2.2753669989502745 , T= 19.664142707300805 keV\n", - "Running n20= 2.0177782820879795 , T= 21.703051513357337 keV\n", - "Running n20= 2.53295571581257 , T= 22.609233204938022 keV\n", - "Running n20= 0.9015605090180334 , T= 20.343778975986318 keV\n", - "Running n20= 1.7601895652256843 , T= 20.343778975986318 keV\n", - "Running n20= 1.2020806786907112 , T= 21.703051513357337 keV\n", - "Running n20= 2.7905444326748654 , T= 21.703051513357337 keV\n", - "Running n20= 2.2753669989502745 , T= 19.890688130195976 keV\n", - "Running n20= 2.53295571581257 , T= 22.835778627833193 keV\n", - "Running n20= 0.9015605090180334 , T= 20.57032439888149 keV\n", - "Running n20= 1.7601895652256843 , T= 20.57032439888149 keV\n", - "Running n20= 1.2020806786907112 , T= 21.92959693625251 keV\n", - "Running n20= 2.7905444326748654 , T= 21.92959693625251 keV\n", - "Running n20= 2.53295571581257 , T= 23.062324050728364 keV\n", - "Running n20= 2.2753669989502745 , T= 20.117233553091147 keV\n", - "Running n20= 1.502600848363389 , T= 21.92959693625251 keV\n", - "Running n20= 0.9015605090180334 , T= 20.796869821776657 keV\n", - "Running n20= 1.7601895652256843 , T= 20.796869821776657 keV\n", - "Running n20= 1.2020806786907112 , T= 22.15614235914768 keV\n", - "Running n20= 2.7905444326748654 , T= 22.15614235914768 keV\n", - "Running n20= 2.53295571581257 , T= 23.288869473623535 keV\n", - "Running n20= 2.0177782820879795 , T= 21.92959693625251 keV\n", - "Running n20= 1.502600848363389 , T= 22.15614235914768 keV\n", - "Running n20= 1.7601895652256843 , T= 21.023415244671828 keV\n", - "Running n20= 1.2020806786907112 , T= 22.38268778204285 keV\n", - "Running n20= 2.2753669989502745 , T= 20.343778975986318 keV\n", - "Running n20= 2.7905444326748654 , T= 22.38268778204285 keV\n", - "Running n20= 2.53295571581257 , T= 23.515414896518706 keV\n", - "Running n20= 1.7601895652256843 , T= 21.249960667567 keV\n", - "Running n20= 1.2020806786907112 , T= 22.609233204938022 keV\n", - "Running n20= 0.9015605090180334 , T= 21.023415244671828 keV\n", - "Running n20= 2.2753669989502745 , T= 20.57032439888149 keV\n", - "Running n20= 2.53295571581257 , T= 23.741960319413877 keV\n", - "Running n20= 1.2020806786907112 , T= 22.835778627833193 keV\n", - "Running n20= 1.7601895652256843 , T= 21.47650609046217 keV\n", - "Running n20= 0.9015605090180334 , T= 21.249960667567 keV\n", - "Running n20= 2.0177782820879795 , T= 22.15614235914768 keV\n", - "Running n20= 2.2753669989502745 , T= 20.796869821776657 keV\n", - "Running n20= 2.53295571581257 , T= 23.968505742309045 keV\n", - "Running n20= 1.502600848363389 , T= 22.38268778204285 keV\n", - "Running n20= 2.7905444326748654 , T= 22.609233204938022 keV\n", - "Running n20= 1.2020806786907112 , T= 23.062324050728364 keV\n", - "Running n20= 2.0177782820879795 , T= 22.38268778204285 keV\n", - "Running n20= 2.53295571581257 , T= 24.195051165204216 keV\n", - "Running n20= 1.7601895652256843 , T= 21.703051513357337 keV\n", - "Running n20= 2.2753669989502745 , T= 21.023415244671828 keV\n", - "Running n20= 2.7905444326748654 , T= 22.835778627833193 keV\n", - "Running n20= 1.2020806786907112 , T= 23.288869473623535 keV\n", - "Running n20= 2.0177782820879795 , T= 22.609233204938022 keV\n", - "Running n20= 2.53295571581257 , T= 24.421596588099387 keV\n", - "Running n20= 1.7601895652256843 , T= 21.92959693625251 keV\n", - "Running n20= 2.2753669989502745 , T= 21.249960667567 keV\n", - "Running n20= 2.7905444326748654 , T= 23.062324050728364 keV\n", - "Running n20= 1.502600848363389 , T= 22.609233204938022 keV\n", - "Running n20= 1.2020806786907112 , T= 23.515414896518706 keV\n", - "Running n20= 2.5758871686229527 , T= 13.32087086623603 keV\n", - "Running n20= 2.0177782820879795 , T= 22.835778627833193 keV\n", - "Running n20= 1.7601895652256843 , T= 22.15614235914768 keV\n", - "Running n20= 2.2753669989502745 , T= 21.47650609046217 keV\n", - "Running n20= 2.7905444326748654 , T= 23.288869473623535 keV\n", - "Running n20= 1.2020806786907112 , T= 23.741960319413877 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.5758871686229527 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.5758871686229527 , T= 13.5474162891312 keV\n", - "Running n20= 2.0177782820879795 , T= 23.062324050728364 keV\n", - "Running n20= 1.7601895652256843 , T= 22.38268778204285 keV\n", - "Running n20= 2.2753669989502745 , T= 21.703051513357337 keV\n", - "Running n20= 2.7905444326748654 , T= 23.515414896518706 keV\n", - "Running n20= 1.2020806786907112 , T= 23.968505742309045 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.5758871686229527 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.5758871686229527 , T= 13.77396171202637 keV\n", - "Running n20= 2.0177782820879795 , T= 23.288869473623535 keV\n", - "Running n20= 0.9015605090180334 , T= 21.47650609046217 keV\n", - "Running n20= 1.502600848363389 , T= 22.835778627833193 keV\n", - "Running n20= 1.7601895652256843 , T= 22.609233204938022 keV\n", - "Running n20= 2.2753669989502745 , T= 21.92959693625251 keV\n", - "Running n20= 2.7905444326748654 , T= 23.741960319413877 keV\n", - "Running n20= 1.2020806786907112 , T= 24.195051165204216 keV\n", - "Running n20= 1.502600848363389 , T= 23.062324050728364 keV\n", - "Running n20= 2.0177782820879795 , T= 23.515414896518706 keV\n", - "Running n20= 2.2753669989502745 , T= 22.15614235914768 keV\n", - "Running n20= 1.7601895652256843 , T= 22.835778627833193 keV\n", - "Running n20= 2.7905444326748654 , T= 23.968505742309045 keV\n", - "Running n20= 1.2020806786907112 , T= 24.421596588099387 keV\n", - "Running n20= 2.5758871686229527 , T= 14.000507134921541 keV\n", - "Running n20= 1.502600848363389 , T= 23.288869473623535 keV\n", - "Running n20= 2.0177782820879795 , T= 23.741960319413877 keV\n", - "Running n20= 2.2753669989502745 , T= 22.38268778204285 keV\n", - "Running n20= 1.7601895652256843 , T= 23.062324050728364 keV\n", - "Running n20= 2.7905444326748654 , T= 24.195051165204216 keV\n", - "Running n20= 1.2450121315010938 , T= 13.32087086623603 keV\n", - "Running n20= 0.9015605090180334 , T= 21.703051513357337 keV\n", - "Running n20= 1.502600848363389 , T= 23.515414896518706 keV\n", - "Running n20= 2.0177782820879795 , T= 23.968505742309045 keV\n", - "Running n20= 2.2753669989502745 , T= 22.609233204938022 keV\n", - "Running n20= 1.7601895652256843 , T= 23.288869473623535 keV\n", - "Running n20= 2.7905444326748654 , T= 24.421596588099387 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2450121315010938 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.2450121315010938 , T= 13.5474162891312 keV\n", - "Running n20= 1.502600848363389 , T= 23.741960319413877 keV\n", - "Running n20= 2.0177782820879795 , T= 24.195051165204216 keV\n", - "Running n20= 2.2753669989502745 , T= 22.835778627833193 keV\n", - "Running n20= 2.8334758854852478 , T= 13.32087086623603 keV\n", - "Running n20= 1.7601895652256843 , T= 23.515414896518706 keV\n", - "Running n20= 1.2450121315010938 , T= 13.77396171202637 keV\n", - "Running n20= 2.5758871686229527 , T= 14.227052557816712 keV\n", - "Running n20= 1.502600848363389 , T= 23.968505742309045 keV\n", - "Running n20= 2.0177782820879795 , T= 24.421596588099387 keV\n", - "Running n20= 0.9015605090180334 , T= 21.92959693625251 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.8334758854852478 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.8334758854852478 , T= 13.5474162891312 keV\n", - "Running n20= 2.2753669989502745 , T= 23.062324050728364 keV\n", - "Running n20= 1.2450121315010938 , T= 14.000507134921541 keV\n", - "Running n20= 1.502600848363389 , T= 24.195051165204216 keV\n", - "Running n20= 2.060709734898362 , T= 13.32087086623603 keV\n", - "Running n20= 0.9015605090180334 , T= 22.15614235914768 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.8334758854852478 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.8334758854852478 , T= 13.77396171202637 keV\n", - "Running n20= 2.2753669989502745 , T= 23.288869473623535 keV\n", - "Running n20= 1.2450121315010938 , T= 14.227052557816712 keV\n", - "Running n20= 1.502600848363389 , T= 24.421596588099387 keV\n", - "Running n20= 1.7601895652256843 , T= 23.741960319413877 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.060709734898362 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.060709734898362 , T= 13.5474162891312 keV\n", - "Running n20= 2.8334758854852478 , T= 14.000507134921541 keV\n", - "Running n20= 2.2753669989502745 , T= 23.515414896518706 keV\n", - "Running n20= 2.5758871686229527 , T= 14.453597980711884 keV\n", - "Running n20= 1.2450121315010938 , T= 14.453597980711884 keV\n", - "Running n20= 0.9015605090180334 , T= 22.38268778204285 keV\n", - "Running n20= 1.5455323011737714 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.060709734898362 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.060709734898362 , T= 13.77396171202637 keV\n", - "Running n20= 2.8334758854852478 , T= 14.227052557816712 keV\n", - "Running n20= 1.7601895652256843 , T= 23.968505742309045 keV\n", - "Running n20= 2.2753669989502745 , T= 23.741960319413877 keV\n", - "Running n20= 1.2450121315010938 , T= 14.680143403607053 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.5455323011737714 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.5455323011737714 , T= 13.5474162891312 keV\n", - "Running n20= 2.060709734898362 , T= 14.000507134921541 keV\n", - "Running n20= 2.8334758854852478 , T= 14.453597980711884 keV\n", - "Running n20= 1.7601895652256843 , T= 24.195051165204216 keV\n", - "Running n20= 2.2753669989502745 , T= 23.968505742309045 keV\n", - "Running n20= 1.2450121315010938 , T= 14.906688826502224 keV\n", - "Running n20= 2.5758871686229527 , T= 14.680143403607053 keV\n", - "Running n20= 1.5455323011737714 , T= 13.77396171202637 keV\n", - "Running n20= 2.060709734898362 , T= 14.227052557816712 keV\n", - "Running n20= 2.8334758854852478 , T= 14.680143403607053 keV\n", - "Running n20= 1.7601895652256843 , T= 24.421596588099387 keV\n", - "Running n20= 2.2753669989502745 , T= 24.195051165204216 keV\n", - "Running n20= 0.9015605090180334 , T= 22.609233204938022 keV\n", - "Running n20= 1.2450121315010938 , T= 15.133234249397393 keV\n", - "Running n20= 1.5455323011737714 , T= 14.000507134921541 keV\n", - "Running n20= 2.060709734898362 , T= 14.453597980711884 keV\n", - "Running n20= 2.8334758854852478 , T= 14.906688826502224 keV\n", - "Running n20= 1.8031210180360668 , T= 13.32087086623603 keV\n", - "Running n20= 2.2753669989502745 , T= 24.421596588099387 keV\n", - "Running n20= 1.2450121315010938 , T= 15.359779672292564 keV\n", - "Running n20= 1.5455323011737714 , T= 14.227052557816712 keV\n", - "Running n20= 2.060709734898362 , T= 14.680143403607053 keV\n", - "Running n20= 2.8334758854852478 , T= 15.133234249397393 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.8031210180360668 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.8031210180360668 , T= 13.5474162891312 keV\n", - "Running n20= 2.5758871686229527 , T= 14.906688826502224 keV\n", - "Running n20= 2.3182984517606573 , T= 13.32087086623603 keV\n", - "Running n20= 1.2450121315010938 , T= 15.586325095187735 keV\n", - "Running n20= 1.5455323011737714 , T= 14.453597980711884 keV\n", - "Running n20= 0.9015605090180334 , T= 22.835778627833193 keV\n", - "Running n20= 2.8334758854852478 , T= 15.359779672292564 keV\n", - "Running n20= 2.060709734898362 , T= 14.906688826502224 keV\n", - "Running n20= 2.5758871686229527 , T= 15.133234249397393 keV\n", - "Running n20= 1.8031210180360668 , T= 13.77396171202637 keV\n", - "Running n20= 1.2450121315010938 , T= 15.812870518082907 keV\n", - "Running n20= 1.5455323011737714 , T= 14.680143403607053 keV\n", - "Running n20= 2.8334758854852478 , T= 15.586325095187735 keV\n", - "Running n20= 0.9015605090180334 , T= 23.062324050728364 keV\n", - "Running n20= 2.5758871686229527 , T= 15.359779672292564 keV\n", - "Running n20= 1.8031210180360668 , T= 14.000507134921541 keV\n", - "Running n20= 1.2450121315010938 , T= 16.039415940978078 keV\n", - "Running n20= 1.5455323011737714 , T= 14.906688826502224 keV\n", - "Running n20= 2.8334758854852478 , T= 15.812870518082907 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.3182984517606573 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.3182984517606573 , T= 13.5474162891312 keV\n", - "Running n20= 0.9015605090180334 , T= 23.288869473623535 keV\n", - "Running n20= 2.5758871686229527 , T= 15.586325095187735 keV\n", - "Running n20= 1.8031210180360668 , T= 14.227052557816712 keV\n", - "Running n20= 2.060709734898362 , T= 15.133234249397393 keV\n", - "Running n20= 1.2450121315010938 , T= 16.265961363873245 keV\n", - "Running n20= 1.5455323011737714 , T= 15.133234249397393 keV\n", - "Running n20= 2.8334758854852478 , T= 16.039415940978078 keV\n", - "Running n20= 2.5758871686229527 , T= 15.812870518082907 keV\n", - "Running n20= 2.060709734898362 , T= 15.359779672292564 keV\n", - "Running n20= 1.2450121315010938 , T= 16.492506786768416 keV\n", - "Running n20= 1.5455323011737714 , T= 15.359779672292564 keV\n", - "Running n20= 2.8334758854852478 , T= 16.265961363873245 keV\n", - "Running n20= 1.8031210180360668 , T= 14.453597980711884 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.3182984517606573 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.3182984517606573 , T= 13.77396171202637 keV\n", - "Running n20= 2.5758871686229527 , T= 16.039415940978078 keV\n", - "Running n20= 2.060709734898362 , T= 15.586325095187735 keV\n", - "Running n20= 1.2450121315010938 , T= 16.719052209663587 keV\n", - "Running n20= 1.5455323011737714 , T= 15.586325095187735 keV\n", - "Running n20= 2.8334758854852478 , T= 16.492506786768416 keV\n", - "Running n20= 2.3182984517606573 , T= 14.000507134921541 keV\n", - "Running n20= 0.9015605090180334 , T= 23.515414896518706 keV\n", - "Running n20= 2.5758871686229527 , T= 16.265961363873245 keV\n", - "Running n20= 2.060709734898362 , T= 15.812870518082907 keV\n", - "Running n20= 1.2450121315010938 , T= 16.94559763255876 keV\n", - "Running n20= 1.5455323011737714 , T= 15.812870518082907 keV\n", - "Running n20= 2.8334758854852478 , T= 16.719052209663587 keV\n", - "Running n20= 2.3182984517606573 , T= 14.227052557816712 keV\n", - "Running n20= 2.5758871686229527 , T= 16.492506786768416 keV\n", - "Running n20= 2.060709734898362 , T= 16.039415940978078 keV\n", - "Running n20= 1.2450121315010938 , T= 17.17214305545393 keV\n", - "Running n20= 1.5455323011737714 , T= 16.039415940978078 keV\n", - "Running n20= 2.8334758854852478 , T= 16.94559763255876 keV\n", - "Running n20= 1.8031210180360668 , T= 14.680143403607053 keV\n", - "Running n20= 0.9015605090180334 , T= 23.741960319413877 keV\n", - "Running n20= 2.3182984517606573 , T= 14.453597980711884 keV\n", - "Running n20= 2.5758871686229527 , T= 16.719052209663587 keV\n", - "Running n20= 2.060709734898362 , T= 16.265961363873245 keV\n", - "Running n20= 1.2450121315010938 , T= 17.3986884783491 keV\n", - "Running n20= 1.5455323011737714 , T= 16.265961363873245 keV\n", - "Running n20= 0.9015605090180334 , T= 23.968505742309045 keV\n", - "Running n20= 2.3182984517606573 , T= 14.680143403607053 keV\n", - "Running n20= 2.5758871686229527 , T= 16.94559763255876 keV\n", - "Running n20= 2.060709734898362 , T= 16.492506786768416 keV\n", - "Running n20= 1.2450121315010938 , T= 17.625233901244272 keV\n", - "Running n20= 1.5455323011737714 , T= 16.492506786768416 keV\n", - "Running n20= 0.9015605090180334 , T= 24.195051165204216 keV\n", - "Running n20= 2.3182984517606573 , T= 14.906688826502224 keV\n", - "Running n20= 2.5758871686229527 , T= 17.17214305545393 keV\n", - "Running n20= 2.060709734898362 , T= 16.719052209663587 keV\n", - "Running n20= 1.2450121315010938 , T= 17.851779324139443 keV\n", - "Running n20= 1.5455323011737714 , T= 16.719052209663587 keV\n", - "Running n20= 1.8031210180360668 , T= 14.906688826502224 keV\n", - "Running n20= 2.8334758854852478 , T= 17.17214305545393 keV\n", - "Running n20= 2.3182984517606573 , T= 15.133234249397393 keV\n", - "Running n20= 0.9015605090180334 , T= 24.421596588099387 keV\n", - "Running n20= 2.5758871686229527 , T= 17.3986884783491 keV\n", - "Running n20= 2.060709734898362 , T= 16.94559763255876 keV\n", - "Running n20= 1.2450121315010938 , T= 18.07832474703461 keV\n", - "Running n20= 1.5455323011737714 , T= 16.94559763255876 keV\n", - "Running n20= 1.8031210180360668 , T= 15.133234249397393 keV\n", - "Running n20= 2.8334758854852478 , T= 17.3986884783491 keV\n", - "Running n20= 2.3182984517606573 , T= 15.359779672292564 keV\n", - "Running n20= 2.060709734898362 , T= 17.17214305545393 keV\n", - "Running n20= 1.2450121315010938 , T= 18.30487016992978 keV\n", - "Running n20= 1.5455323011737714 , T= 17.17214305545393 keV\n", - "Running n20= 1.8031210180360668 , T= 15.359779672292564 keV\n", - "Running n20= 2.8334758854852478 , T= 17.625233901244272 keV\n", - "Running n20= 2.3182984517606573 , T= 15.586325095187735 keV\n", - "Running n20= 2.060709734898362 , T= 17.3986884783491 keV\n", - "Running n20= 1.2450121315010938 , T= 18.531415592824953 keV\n", - "Running n20= 1.5455323011737714 , T= 17.3986884783491 keV\n", - "Running n20= 0.944491961828416 , T= 13.32087086623603 keV\n", - "Running n20= 2.5758871686229527 , T= 17.625233901244272 keV\n", - "Running n20= 1.8031210180360668 , T= 15.586325095187735 keV\n", - "Running n20= 2.8334758854852478 , T= 17.851779324139443 keV\n", - "Running n20= 2.3182984517606573 , T= 15.812870518082907 keV\n", - "Running n20= 1.2450121315010938 , T= 18.757961015720124 keV\n", - "Running n20= 1.5455323011737714 , T= 17.625233901244272 keV\n", - "Running n20= 2.060709734898362 , T= 17.625233901244272 keV\n", - "Running n20= 2.8334758854852478 , T= 18.07832474703461 keV\n", - "Running n20= 1.8031210180360668 , T= 15.812870518082907 keV\n", - "Running n20= 2.3182984517606573 , T= 16.039415940978078 keV\n", - "Running n20= 1.2450121315010938 , T= 18.98450643861529 keV\n", - "Running n20= 1.5455323011737714 , T= 17.851779324139443 keV\n", - "Running n20= 2.060709734898362 , T= 17.851779324139443 keV\n", - "Running n20= 2.8334758854852478 , T= 18.30487016992978 keV\n", - "Running n20= 1.8031210180360668 , T= 16.039415940978078 keV\n", - "Running n20= 2.3182984517606573 , T= 16.265961363873245 keV\n", - "Running n20= 0.944491961828416 , T= 13.5474162891312 keV\n", - "Running n20= 2.5758871686229527 , T= 17.851779324139443 keV\n", - "Running n20= 1.2450121315010938 , T= 19.211051861510462 keV\n", - "Running n20= 1.5455323011737714 , T= 18.07832474703461 keV\n", - "Running n20= 2.060709734898362 , T= 18.07832474703461 keV\n", - "Running n20= 2.8334758854852478 , T= 18.531415592824953 keV\n", - "Running n20= 1.8031210180360668 , T= 16.265961363873245 keV\n", - "Running n20= 2.3182984517606573 , T= 16.492506786768416 keV\n", - "Running n20= 1.2450121315010938 , T= 19.437597284405634 keV\n", - "Running n20= 1.5455323011737714 , T= 18.30487016992978 keV\n", - "Running n20= 2.060709734898362 , T= 18.30487016992978 keV\n", - "Running n20= 2.8334758854852478 , T= 18.757961015720124 keV\n", - "Running n20= 1.8031210180360668 , T= 16.492506786768416 keV\n", - "Running n20= 2.3182984517606573 , T= 16.719052209663587 keV\n", - "Running n20= 1.2450121315010938 , T= 19.664142707300805 keV\n", - "Running n20= 1.5455323011737714 , T= 18.531415592824953 keV\n", - "Running n20= 2.060709734898362 , T= 18.531415592824953 keV\n", - "Running n20= 2.8334758854852478 , T= 18.98450643861529 keV\n", - "Running n20= 1.8031210180360668 , T= 16.719052209663587 keV\n", - "Running n20= 2.3182984517606573 , T= 16.94559763255876 keV\n", - "Running n20= 1.5455323011737714 , T= 18.757961015720124 keV\n", - "Running n20= 1.2450121315010938 , T= 19.890688130195976 keV\n", - "Running n20= 0.944491961828416 , T= 13.77396171202637 keV\n", - "Running n20= 2.060709734898362 , T= 18.757961015720124 keV\n", - "Running n20= 2.5758871686229527 , T= 18.07832474703461 keV\n", - "Running n20= 2.8334758854852478 , T= 19.211051861510462 keV\n", - "Running n20= 1.8031210180360668 , T= 16.94559763255876 keV\n", - "Running n20= 2.3182984517606573 , T= 17.17214305545393 keV\n", - "Running n20= 1.5455323011737714 , T= 18.98450643861529 keV\n", - "Running n20= 2.060709734898362 , T= 18.98450643861529 keV\n", - "Running n20= 2.5758871686229527 , T= 18.30487016992978 keV\n", - "Running n20= 2.8334758854852478 , T= 19.437597284405634 keV\n", - "Running n20= 0.944491961828416 , T= 14.000507134921541 keV\n", - "Running n20= 2.3182984517606573 , T= 17.3986884783491 keV\n", - "Running n20= 1.8031210180360668 , T= 17.17214305545393 keV\n", - "Running n20= 1.5455323011737714 , T= 19.211051861510462 keV\n", - "Running n20= 2.5758871686229527 , T= 18.531415592824953 keV\n", - "Running n20= 2.8334758854852478 , T= 19.664142707300805 keV\n", - "Running n20= 1.2450121315010938 , T= 20.117233553091147 keV\n", - "Running n20= 0.944491961828416 , T= 14.227052557816712 keV\n", - "Running n20= 2.3182984517606573 , T= 17.625233901244272 keV\n", - "Running n20= 1.8031210180360668 , T= 17.3986884783491 keV\n", - "Running n20= 1.5455323011737714 , T= 19.437597284405634 keV\n", - "Running n20= 2.5758871686229527 , T= 18.757961015720124 keV\n", - "Running n20= 2.8334758854852478 , T= 19.890688130195976 keV\n", - "Running n20= 2.060709734898362 , T= 19.211051861510462 keV\n", - "Running n20= 0.944491961828416 , T= 14.453597980711884 keV\n", - "Running n20= 1.8031210180360668 , T= 17.625233901244272 keV\n", - "Running n20= 1.5455323011737714 , T= 19.664142707300805 keV\n", - "Running n20= 2.5758871686229527 , T= 18.98450643861529 keV\n", - "Running n20= 2.8334758854852478 , T= 20.117233553091147 keV\n", - "Running n20= 2.060709734898362 , T= 19.437597284405634 keV\n", - "Running n20= 0.944491961828416 , T= 14.680143403607053 keV\n", - "Running n20= 1.8031210180360668 , T= 17.851779324139443 keV\n", - "Running n20= 1.5455323011737714 , T= 19.890688130195976 keV\n", - "Running n20= 1.2450121315010938 , T= 20.343778975986318 keV\n", - "Running n20= 2.5758871686229527 , T= 19.211051861510462 keV\n", - "Running n20= 2.8334758854852478 , T= 20.343778975986318 keV\n", - "Running n20= 2.060709734898362 , T= 19.664142707300805 keV\n", - "Running n20= 0.944491961828416 , T= 14.906688826502224 keV\n", - "Running n20= 2.3182984517606573 , T= 17.851779324139443 keV\n", - "Running n20= 1.2450121315010938 , T= 20.57032439888149 keV\n", - "Running n20= 1.5455323011737714 , T= 20.117233553091147 keV\n", - "Running n20= 2.5758871686229527 , T= 19.437597284405634 keV\n", - "Running n20= 2.8334758854852478 , T= 20.57032439888149 keV\n", - "Running n20= 2.060709734898362 , T= 19.890688130195976 keV\n", - "Running n20= 1.8031210180360668 , T= 18.07832474703461 keV\n", - "Running n20= 0.944491961828416 , T= 15.133234249397393 keV\n", - "Running n20= 2.3182984517606573 , T= 18.07832474703461 keV\n", - "Running n20= 2.5758871686229527 , T= 19.664142707300805 keV\n", - "Running n20= 2.8334758854852478 , T= 20.796869821776657 keV\n", - "Running n20= 2.060709734898362 , T= 20.117233553091147 keV\n", - "Running n20= 1.8031210180360668 , T= 18.30487016992978 keV\n", - "Running n20= 2.3182984517606573 , T= 18.30487016992978 keV\n", - "Running n20= 1.2450121315010938 , T= 20.796869821776657 keV\n", - "Running n20= 1.5455323011737714 , T= 20.343778975986318 keV\n", - "Running n20= 0.944491961828416 , T= 15.359779672292564 keV\n", - "Running n20= 2.5758871686229527 , T= 19.890688130195976 keV\n", - "Running n20= 2.8334758854852478 , T= 21.023415244671828 keV\n", - "Running n20= 1.8031210180360668 , T= 18.531415592824953 keV\n", - "Running n20= 2.3182984517606573 , T= 18.531415592824953 keV\n", - "Running n20= 1.2450121315010938 , T= 21.023415244671828 keV\n", - "Running n20= 0.944491961828416 , T= 15.586325095187735 keV\n", - "Running n20= 2.5758871686229527 , T= 20.117233553091147 keV\n", - "Running n20= 2.8334758854852478 , T= 21.249960667567 keV\n", - "Running n20= 1.8031210180360668 , T= 18.757961015720124 keV\n", - "Running n20= 2.060709734898362 , T= 20.343778975986318 keV\n", - "Running n20= 2.3182984517606573 , T= 18.757961015720124 keV\n", - "Running n20= 1.2450121315010938 , T= 21.249960667567 keV\n", - "Running n20= 0.944491961828416 , T= 15.812870518082907 keV\n", - "Running n20= 2.5758871686229527 , T= 20.343778975986318 keV\n", - "Running n20= 2.8334758854852478 , T= 21.47650609046217 keV\n", - "Running n20= 1.8031210180360668 , T= 18.98450643861529 keV\n", - "Running n20= 1.5455323011737714 , T= 20.57032439888149 keV\n", - "Running n20= 2.3182984517606573 , T= 18.98450643861529 keV\n", - "Running n20= 1.2450121315010938 , T= 21.47650609046217 keV\n", - "Running n20= 0.944491961828416 , T= 16.039415940978078 keV\n", - "Running n20= 2.5758871686229527 , T= 20.57032439888149 keV\n", - "Running n20= 2.8334758854852478 , T= 21.703051513357337 keV\n", - "Running n20= 1.8031210180360668 , T= 19.211051861510462 keV\n", - "Running n20= 2.3182984517606573 , T= 19.211051861510462 keV\n", - "Running n20= 1.2450121315010938 , T= 21.703051513357337 keV\n", - "Running n20= 0.944491961828416 , T= 16.265961363873245 keV\n", - "Running n20= 2.060709734898362 , T= 20.57032439888149 keV\n", - "Running n20= 2.5758871686229527 , T= 20.796869821776657 keV\n", - "Running n20= 1.8031210180360668 , T= 19.437597284405634 keV\n", - "Running n20= 2.8334758854852478 , T= 21.92959693625251 keV\n", - "Running n20= 2.3182984517606573 , T= 19.437597284405634 keV\n", - "Running n20= 1.2450121315010938 , T= 21.92959693625251 keV\n", - "Running n20= 0.944491961828416 , T= 16.492506786768416 keV\n", - "Running n20= 1.5455323011737714 , T= 20.796869821776657 keV\n", - "Running n20= 1.8031210180360668 , T= 19.664142707300805 keV\n", - "Running n20= 2.5758871686229527 , T= 21.023415244671828 keV\n", - "Running n20= 2.8334758854852478 , T= 22.15614235914768 keV\n", - "Running n20= 2.3182984517606573 , T= 19.664142707300805 keV\n", - "Running n20= 0.944491961828416 , T= 16.719052209663587 keV\n", - "Running n20= 1.2450121315010938 , T= 22.15614235914768 keV\n", - "Running n20= 1.8031210180360668 , T= 19.890688130195976 keV\n", - "Running n20= 2.060709734898362 , T= 20.796869821776657 keV\n", - "Running n20= 2.5758871686229527 , T= 21.249960667567 keV\n", - "Running n20= 1.5455323011737714 , T= 21.023415244671828 keV\n", - "Running n20= 2.3182984517606573 , T= 19.890688130195976 keV\n", - "Running n20= 1.2450121315010938 , T= 22.38268778204285 keV\n", - "Running n20= 1.8031210180360668 , T= 20.117233553091147 keV\n", - "Running n20= 2.060709734898362 , T= 21.023415244671828 keV\n", - "Running n20= 2.5758871686229527 , T= 21.47650609046217 keV\n", - "Running n20= 2.8334758854852478 , T= 22.38268778204285 keV\n", - "Running n20= 1.5455323011737714 , T= 21.249960667567 keV\n", - "Running n20= 2.3182984517606573 , T= 20.117233553091147 keV\n", - "Running n20= 1.2450121315010938 , T= 22.609233204938022 keV\n", - "Running n20= 1.8031210180360668 , T= 20.343778975986318 keV\n", - "Running n20= 2.060709734898362 , T= 21.249960667567 keV\n", - "Running n20= 2.5758871686229527 , T= 21.703051513357337 keV\n", - "Running n20= 0.944491961828416 , T= 16.94559763255876 keV\n", - "Running n20= 1.5455323011737714 , T= 21.47650609046217 keV\n", - "Running n20= 2.3182984517606573 , T= 20.343778975986318 keV\n", - "Running n20= 1.2450121315010938 , T= 22.835778627833193 keV\n", - "Running n20= 1.8031210180360668 , T= 20.57032439888149 keV\n", - "Running n20= 2.060709734898362 , T= 21.47650609046217 keV\n", - "Running n20= 2.5758871686229527 , T= 21.92959693625251 keV\n", - "Running n20= 1.5455323011737714 , T= 21.703051513357337 keV\n", - "Running n20= 2.3182984517606573 , T= 20.57032439888149 keV\n", - "Running n20= 1.2450121315010938 , T= 23.062324050728364 keV\n", - "Running n20= 1.8031210180360668 , T= 20.796869821776657 keV\n", - "Running n20= 2.060709734898362 , T= 21.703051513357337 keV\n", - "Running n20= 2.5758871686229527 , T= 22.15614235914768 keV\n", - "Running n20= 1.5455323011737714 , T= 21.92959693625251 keV\n", - "Running n20= 2.3182984517606573 , T= 20.796869821776657 keV\n", - "Running n20= 2.8334758854852478 , T= 22.609233204938022 keV\n", - "Running n20= 1.8031210180360668 , T= 21.023415244671828 keV\n", - "Running n20= 1.2450121315010938 , T= 23.288869473623535 keV\n", - "Running n20= 0.944491961828416 , T= 17.17214305545393 keV\n", - "Running n20= 2.060709734898362 , T= 21.92959693625251 keV\n", - "Running n20= 2.5758871686229527 , T= 22.38268778204285 keV\n", - "Running n20= 1.5455323011737714 , T= 22.15614235914768 keV\n", - "Running n20= 2.3182984517606573 , T= 21.023415244671828 keV\n", - "Running n20= 1.8031210180360668 , T= 21.249960667567 keV\n", - "Running n20= 0.944491961828416 , T= 17.3986884783491 keV\n", - "Running n20= 2.060709734898362 , T= 22.15614235914768 keV\n", - "Running n20= 2.5758871686229527 , T= 22.609233204938022 keV\n", - "Running n20= 2.3182984517606573 , T= 21.249960667567 keV\n", - "Running n20= 1.5455323011737714 , T= 22.38268778204285 keV\n", - "Running n20= 1.8031210180360668 , T= 21.47650609046217 keV\n", - "Running n20= 0.944491961828416 , T= 17.625233901244272 keV\n", - "Running n20= 2.5758871686229527 , T= 22.835778627833193 keV\n", - "Running n20= 2.060709734898362 , T= 22.38268778204285 keV\n", - "Running n20= 1.2450121315010938 , T= 23.515414896518706 keV\n", - "Running n20= 2.3182984517606573 , T= 21.47650609046217 keV\n", - "Running n20= 1.5455323011737714 , T= 22.609233204938022 keV\n", - "Running n20= 2.8334758854852478 , T= 22.835778627833193 keV\n", - "Running n20= 1.8031210180360668 , T= 21.703051513357337 keV\n", - "Running n20= 0.944491961828416 , T= 17.851779324139443 keV\n", - "Running n20= 2.5758871686229527 , T= 23.062324050728364 keV\n", - "Running n20= 2.060709734898362 , T= 22.609233204938022 keV\n", - "Running n20= 1.2450121315010938 , T= 23.741960319413877 keV\n", - "Running n20= 1.5455323011737714 , T= 22.835778627833193 keV\n", - "Running n20= 1.8031210180360668 , T= 21.92959693625251 keV\n", - "Running n20= 0.944491961828416 , T= 18.07832474703461 keV\n", - "Running n20= 2.5758871686229527 , T= 23.288869473623535 keV\n", - "Running n20= 2.060709734898362 , T= 22.835778627833193 keV\n", - "Running n20= 1.2450121315010938 , T= 23.968505742309045 keV\n", - "Running n20= 1.5455323011737714 , T= 23.062324050728364 keV\n", - "Running n20= 1.8031210180360668 , T= 22.15614235914768 keV\n", - "Running n20= 0.944491961828416 , T= 18.30487016992978 keV\n", - "Running n20= 2.5758871686229527 , T= 23.515414896518706 keV\n", - "Running n20= 2.060709734898362 , T= 23.062324050728364 keV\n", - "Running n20= 2.8334758854852478 , T= 23.062324050728364 keV\n", - "Running n20= 1.2450121315010938 , T= 24.195051165204216 keV\n", - "Running n20= 1.8031210180360668 , T= 22.38268778204285 keV\n", - "Running n20= 1.5455323011737714 , T= 23.288869473623535 keV\n", - "Running n20= 0.944491961828416 , T= 18.531415592824953 keV\n", - "Running n20= 2.5758871686229527 , T= 23.741960319413877 keV\n", - "Running n20= 2.3182984517606573 , T= 21.703051513357337 keV\n", - "Running n20= 2.060709734898362 , T= 23.288869473623535 keV\n", - "Running n20= 1.2450121315010938 , T= 24.421596588099387 keV\n", - "Running n20= 1.8031210180360668 , T= 22.609233204938022 keV\n", - "Running n20= 1.5455323011737714 , T= 23.515414896518706 keV\n", - "Running n20= 0.944491961828416 , T= 18.757961015720124 keV\n", - "Running n20= 2.5758871686229527 , T= 23.968505742309045 keV\n", - "Running n20= 2.060709734898362 , T= 23.515414896518706 keV\n", - "Running n20= 1.2879435843114764 , T= 13.32087086623603 keV\n", - "Running n20= 1.8031210180360668 , T= 22.835778627833193 keV\n", - "Running n20= 1.5455323011737714 , T= 23.741960319413877 keV\n", - "Running n20= 2.8334758854852478 , T= 23.288869473623535 keV\n", - "Running n20= 2.5758871686229527 , T= 24.195051165204216 keV\n", - "Running n20= 2.3182984517606573 , T= 21.92959693625251 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2879435843114764 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.2879435843114764 , T= 13.5474162891312 keV\n", - "Running n20= 1.8031210180360668 , T= 23.062324050728364 keV\n", - "Running n20= 1.5455323011737714 , T= 23.968505742309045 keV\n", - "Running n20= 0.944491961828416 , T= 18.98450643861529 keV\n", - "Running n20= 2.8334758854852478 , T= 23.515414896518706 keV\n", - "Running n20= 2.5758871686229527 , T= 24.421596588099387 keV\n", - "Running n20= 2.3182984517606573 , T= 22.15614235914768 keV\n", - "Running n20= 2.060709734898362 , T= 23.741960319413877 keV\n", - "Running n20= 1.2879435843114764 , T= 13.77396171202637 keV\n", - "Running n20= 1.8031210180360668 , T= 23.288869473623535 keV\n", - "Running n20= 1.5455323011737714 , T= 24.195051165204216 keV\n", - "Running n20= 2.8334758854852478 , T= 23.741960319413877 keV\n", - "Running n20= 2.618818621433335 , T= 13.32087086623603 keV\n", - "Running n20= 2.3182984517606573 , T= 22.38268778204285 keV\n", - "Running n20= 1.2879435843114764 , T= 14.000507134921541 keV\n", - "Running n20= 1.8031210180360668 , T= 23.515414896518706 keV\n", - "Running n20= 1.5455323011737714 , T= 24.421596588099387 keV\n", - "Running n20= 2.8334758854852478 , T= 23.968505742309045 keV\n", - "Running n20= 2.3182984517606573 , T= 22.609233204938022 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.618818621433335 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.618818621433335 , T= 13.5474162891312 keV\n", - "Running n20= 1.8031210180360668 , T= 23.741960319413877 keV\n", - "Running n20= 1.2879435843114764 , T= 14.227052557816712 keV\n", - "Running n20= 1.5884637539841542 , T= 13.32087086623603 keV\n", - "Running n20= 2.8334758854852478 , T= 24.195051165204216 keV\n", - "Running n20= 2.3182984517606573 , T= 22.835778627833193 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.618818621433335 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.618818621433335 , T= 13.77396171202637 keV\n", - "Running n20= 1.8031210180360668 , T= 23.968505742309045 keV\n", - "Running n20= 1.2879435843114764 , T= 14.453597980711884 keV\n", - "Running n20= 2.060709734898362 , T= 23.968505742309045 keV\n", - "Running n20= 0.944491961828416 , T= 19.211051861510462 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.5884637539841542 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.5884637539841542 , T= 13.5474162891312 keV\n", - "Running n20= 2.8334758854852478 , T= 24.421596588099387 keV\n", - "Running n20= 2.3182984517606573 , T= 23.062324050728364 keV\n", - "Running n20= 2.618818621433335 , T= 14.000507134921541 keV\n", - "Running n20= 1.8031210180360668 , T= 24.195051165204216 keV\n", - "Running n20= 1.2879435843114764 , T= 14.680143403607053 keV\n", - "Running n20= 1.5884637539841542 , T= 13.77396171202637 keV\n", - "Running n20= 2.87640733829563 , T= 13.32087086623603 keV\n", - "Running n20= 1.8031210180360668 , T= 24.421596588099387 keV\n", - "Running n20= 2.3182984517606573 , T= 23.288869473623535 keV\n", - "Running n20= 2.618818621433335 , T= 14.227052557816712 keV\n", - "Running n20= 1.2879435843114764 , T= 14.906688826502224 keV\n", - "Running n20= 0.944491961828416 , T= 19.437597284405634 keV\n", - "Running n20= 2.060709734898362 , T= 24.195051165204216 keV\n", - "Running n20= 1.5884637539841542 , T= 14.000507134921541 keV\n", - "Running n20= 1.8460524708464492 , T= 13.32087086623603 keV\n", - "Running n20= 1.2879435843114764 , T= 15.133234249397393 keV\n", - "Running n20= 0.944491961828416 , T= 19.664142707300805 keV\n", - "Running n20= 2.618818621433335 , T= 14.453597980711884 keV\n", - "Running n20= 2.060709734898362 , T= 24.421596588099387 keV\n", - "Running n20= 1.5884637539841542 , T= 14.227052557816712 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.87640733829563 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.87640733829563 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.8460524708464492 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.8460524708464492 , T= 13.5474162891312 keV\n", - "Running n20= 1.2879435843114764 , T= 15.359779672292564 keV\n", - "Running n20= 0.944491961828416 , T= 19.890688130195976 keV\n", - "Running n20= 2.618818621433335 , T= 14.680143403607053 keV\n", - "Running n20= 2.3182984517606573 , T= 23.515414896518706 keV\n", - "Running n20= 2.1036411877087446 , T= 13.32087086623603 keV\n", - "Running n20= 1.5884637539841542 , T= 14.453597980711884 keV\n", - "Running n20= 1.8460524708464492 , T= 13.77396171202637 keV\n", - "Running n20= 1.2879435843114764 , T= 15.586325095187735 keV\n", - "Running n20= 0.944491961828416 , T= 20.117233553091147 keV\n", - "Running n20= 2.3182984517606573 , T= 23.741960319413877 keV\n", - "Running n20= 1.5884637539841542 , T= 14.680143403607053 keV\n", - "Running n20= 1.8460524708464492 , T= 14.000507134921541 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.87640733829563 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.87640733829563 , T= 13.77396171202637 keV\n", - "Running n20= 1.2879435843114764 , T= 15.812870518082907 keV\n", - "Running n20= 0.944491961828416 , T= 20.343778975986318 keV\n", - "Running n20= 2.3182984517606573 , T= 23.968505742309045 keV\n", - "Running n20= 1.5884637539841542 , T= 14.906688826502224 keV\n", - "Running n20= 1.8460524708464492 , T= 14.227052557816712 keV\n", - "Running n20= 2.87640733829563 , T= 14.000507134921541 keV\n", - "Running n20= 1.2879435843114764 , T= 16.039415940978078 keV\n", - "Running n20= 0.944491961828416 , T= 20.57032439888149 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.1036411877087446 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.1036411877087446 , T= 13.5474162891312 keV\n", - "Running n20= 2.618818621433335 , T= 14.906688826502224 keV\n", - "Running n20= 2.3182984517606573 , T= 24.195051165204216 keV\n", - "Running n20= 1.5884637539841542 , T= 15.133234249397393 keV\n", - "Running n20= 1.8460524708464492 , T= 14.453597980711884 keV\n", - "Running n20= 2.87640733829563 , T= 14.227052557816712 keV\n", - "Running n20= 1.2879435843114764 , T= 16.265961363873245 keV\n", - "Running n20= 0.944491961828416 , T= 20.796869821776657 keV\n", - "Running n20= 2.618818621433335 , T= 15.133234249397393 keV\n", - "Running n20= 1.5884637539841542 , T= 15.359779672292564 keV\n", - "Running n20= 1.8460524708464492 , T= 14.680143403607053 keV\n", - "Running n20= 2.87640733829563 , T= 14.453597980711884 keV\n", - "Running n20= 1.2879435843114764 , T= 16.492506786768416 keV\n", - "Running n20= 2.3182984517606573 , T= 24.421596588099387 keV\n", - "Running n20= 2.618818621433335 , T= 15.359779672292564 keV\n", - "Running n20= 1.8460524708464492 , T= 14.906688826502224 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.1036411877087446 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.1036411877087446 , T= 13.77396171202637 keV\n", - "Running n20= 1.2879435843114764 , T= 16.719052209663587 keV\n", - "Running n20= 2.87640733829563 , T= 14.680143403607053 keV\n", - "Running n20= 2.36122990457104 , T= 13.32087086623603 keV\n", - "Running n20= 1.8460524708464492 , T= 15.133234249397393 keV\n", - "Running n20= 2.618818621433335 , T= 15.586325095187735 keV\n", - "Running n20= 1.5884637539841542 , T= 15.586325095187735 keV\n", - "Running n20= 0.944491961828416 , T= 21.023415244671828 keV\n", - "Running n20= 2.87640733829563 , T= 14.906688826502224 keV\n", - "Running n20= 1.2879435843114764 , T= 16.94559763255876 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.36122990457104 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.36122990457104 , T= 13.5474162891312 keV\n", - "Running n20= 1.8460524708464492 , T= 15.359779672292564 keV\n", - "Running n20= 2.618818621433335 , T= 15.812870518082907 keV\n", - "Running n20= 0.944491961828416 , T= 21.249960667567 keV\n", - "Running n20= 2.87640733829563 , T= 15.133234249397393 keV\n", - "Running n20= 1.2879435843114764 , T= 17.17214305545393 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.36122990457104 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.36122990457104 , T= 13.77396171202637 keV\n", - "Running n20= 2.618818621433335 , T= 16.039415940978078 keV\n", - "Running n20= 2.1036411877087446 , T= 14.000507134921541 keV\n", - "Running n20= 0.944491961828416 , T= 21.47650609046217 keV\n", - "Running n20= 1.8460524708464492 , T= 15.586325095187735 keV\n", - "Running n20= 2.87640733829563 , T= 15.359779672292564 keV\n", - "Running n20= 1.2879435843114764 , T= 17.3986884783491 keV\n", - "Running n20= 2.36122990457104 , T= 14.000507134921541 keV\n", - "Running n20= 2.618818621433335 , T= 16.265961363873245 keV\n", - "Running n20= 2.1036411877087446 , T= 14.227052557816712 keV\n", - "Running n20= 0.944491961828416 , T= 21.703051513357337 keV\n", - "Running n20= 1.5884637539841542 , T= 15.812870518082907 keV\n", - "Running n20= 2.87640733829563 , T= 15.586325095187735 keV\n", - "Running n20= 1.2879435843114764 , T= 17.625233901244272 keV\n", - "Running n20= 2.36122990457104 , T= 14.227052557816712 keV\n", - "Running n20= 2.618818621433335 , T= 16.492506786768416 keV\n", - "Running n20= 2.1036411877087446 , T= 14.453597980711884 keV\n", - "Running n20= 0.944491961828416 , T= 21.92959693625251 keV\n", - "Running n20= 2.87640733829563 , T= 15.812870518082907 keV\n", - "Running n20= 2.36122990457104 , T= 14.453597980711884 keV\n", - "Running n20= 1.2879435843114764 , T= 17.851779324139443 keV\n", - "Running n20= 2.1036411877087446 , T= 14.680143403607053 keV\n", - "Running n20= 1.8460524708464492 , T= 15.812870518082907 keV\n", - "Running n20= 2.618818621433335 , T= 16.719052209663587 keV\n", - "Running n20= 1.5884637539841542 , T= 16.039415940978078 keV\n", - "Running n20= 2.87640733829563 , T= 16.039415940978078 keV\n", - "Running n20= 2.36122990457104 , T= 14.680143403607053 keV\n", - "Running n20= 1.2879435843114764 , T= 18.07832474703461 keV\n", - "Running n20= 2.1036411877087446 , T= 14.906688826502224 keV\n", - "Running n20= 0.944491961828416 , T= 22.15614235914768 keV\n", - "Running n20= 1.8460524708464492 , T= 16.039415940978078 keV\n", - "Running n20= 1.5884637539841542 , T= 16.265961363873245 keV\n", - "Running n20= 2.87640733829563 , T= 16.265961363873245 keV\n", - "Running n20= 2.36122990457104 , T= 14.906688826502224 keV\n", - "Running n20= 1.2879435843114764 , T= 18.30487016992978 keV\n", - "Running n20= 2.1036411877087446 , T= 15.133234249397393 keV\n", - "Running n20= 0.944491961828416 , T= 22.38268778204285 keV\n", - "Running n20= 1.5884637539841542 , T= 16.492506786768416 keV\n", - "Running n20= 2.87640733829563 , T= 16.492506786768416 keV\n", - "Running n20= 2.36122990457104 , T= 15.133234249397393 keV\n", - "Running n20= 1.2879435843114764 , T= 18.531415592824953 keV\n", - "Running n20= 2.1036411877087446 , T= 15.359779672292564 keV\n", - "Running n20= 0.944491961828416 , T= 22.609233204938022 keV\n", - "Running n20= 2.618818621433335 , T= 16.94559763255876 keV\n", - "Running n20= 1.5884637539841542 , T= 16.719052209663587 keV\n", - "Running n20= 1.8460524708464492 , T= 16.265961363873245 keV\n", - "Running n20= 2.36122990457104 , T= 15.359779672292564 keV\n", - "Running n20= 1.2879435843114764 , T= 18.757961015720124 keV\n", - "Running n20= 2.618818621433335 , T= 17.17214305545393 keV\n", - "Running n20= 2.1036411877087446 , T= 15.586325095187735 keV\n", - "Running n20= 0.944491961828416 , T= 22.835778627833193 keV\n", - "Running n20= 1.5884637539841542 , T= 16.94559763255876 keV\n", - "Running n20= 1.8460524708464492 , T= 16.492506786768416 keV\n", - "Running n20= 1.2879435843114764 , T= 18.98450643861529 keV\n", - "Running n20= 2.36122990457104 , T= 15.586325095187735 keV\n", - "Running n20= 2.618818621433335 , T= 17.3986884783491 keV\n", - "Running n20= 2.1036411877087446 , T= 15.812870518082907 keV\n", - "Running n20= 2.87640733829563 , T= 16.719052209663587 keV\n", - "Running n20= 1.5884637539841542 , T= 17.17214305545393 keV\n", - "Running n20= 1.8460524708464492 , T= 16.719052209663587 keV\n", - "Running n20= 1.2879435843114764 , T= 19.211051861510462 keV\n", - "Running n20= 2.36122990457104 , T= 15.812870518082907 keV\n", - "Running n20= 2.618818621433335 , T= 17.625233901244272 keV\n", - "Running n20= 2.1036411877087446 , T= 16.039415940978078 keV\n", - "Running n20= 0.944491961828416 , T= 23.062324050728364 keV\n", - "Running n20= 1.5884637539841542 , T= 17.3986884783491 keV\n", - "Running n20= 1.8460524708464492 , T= 16.94559763255876 keV\n", - "Running n20= 1.2879435843114764 , T= 19.437597284405634 keV\n", - "Running n20= 2.618818621433335 , T= 17.851779324139443 keV\n", - "Running n20= 2.1036411877087446 , T= 16.265961363873245 keV\n", - "Running n20= 0.944491961828416 , T= 23.288869473623535 keV\n", - "Running n20= 1.5884637539841542 , T= 17.625233901244272 keV\n", - "Running n20= 1.8460524708464492 , T= 17.17214305545393 keV\n", - "Running n20= 2.87640733829563 , T= 16.94559763255876 keV\n", - "Running n20= 1.2879435843114764 , T= 19.664142707300805 keV\n", - "Running n20= 2.618818621433335 , T= 18.07832474703461 keV\n", - "Running n20= 2.1036411877087446 , T= 16.492506786768416 keV\n", - "Running n20= 0.944491961828416 , T= 23.515414896518706 keV\n", - "Running n20= 1.5884637539841542 , T= 17.851779324139443 keV\n", - "Running n20= 2.36122990457104 , T= 16.039415940978078 keV\n", - "Running n20= 1.8460524708464492 , T= 17.3986884783491 keV\n", - "Running n20= 1.2879435843114764 , T= 19.890688130195976 keV\n", - "Running n20= 2.618818621433335 , T= 18.30487016992978 keV\n", - "Running n20= 2.1036411877087446 , T= 16.719052209663587 keV\n", - "Running n20= 0.944491961828416 , T= 23.741960319413877 keV\n", - "Running n20= 1.5884637539841542 , T= 18.07832474703461 keV\n", - "Running n20= 1.8460524708464492 , T= 17.625233901244272 keV\n", - "Running n20= 1.2879435843114764 , T= 20.117233553091147 keV\n", - "Running n20= 2.618818621433335 , T= 18.531415592824953 keV\n", - "Running n20= 2.1036411877087446 , T= 16.94559763255876 keV\n", - "Running n20= 0.944491961828416 , T= 23.968505742309045 keV\n", - "Running n20= 1.5884637539841542 , T= 18.30487016992978 keV\n", - "Running n20= 2.87640733829563 , T= 17.17214305545393 keV\n", - "Running n20= 1.8460524708464492 , T= 17.851779324139443 keV\n", - "Running n20= 1.2879435843114764 , T= 20.343778975986318 keV\n", - "Running n20= 2.36122990457104 , T= 16.265961363873245 keV\n", - "Running n20= 2.618818621433335 , T= 18.757961015720124 keV\n", - "Running n20= 2.1036411877087446 , T= 17.17214305545393 keV\n", - "Running n20= 0.944491961828416 , T= 24.195051165204216 keV\n", - "Running n20= 1.5884637539841542 , T= 18.531415592824953 keV\n", - "Running n20= 1.8460524708464492 , T= 18.07832474703461 keV\n", - "Running n20= 1.2879435843114764 , T= 20.57032439888149 keV\n", - "Running n20= 2.87640733829563 , T= 17.3986884783491 keV\n", - "Running n20= 2.36122990457104 , T= 16.492506786768416 keV\n", - "Running n20= 2.1036411877087446 , T= 17.3986884783491 keV\n", - "Running n20= 2.618818621433335 , T= 18.98450643861529 keV\n", - "Running n20= 1.8460524708464492 , T= 18.30487016992978 keV\n", - "Running n20= 2.36122990457104 , T= 16.719052209663587 keV\n", - "Running n20= 2.87640733829563 , T= 17.625233901244272 keV\n", - "Running n20= 1.2879435843114764 , T= 20.796869821776657 keV\n", - "Running n20= 0.944491961828416 , T= 24.421596588099387 keV\n", - "Running n20= 2.1036411877087446 , T= 17.625233901244272 keV\n", - "Running n20= 2.618818621433335 , T= 19.211051861510462 keV\n", - "Running n20= 1.8460524708464492 , T= 18.531415592824953 keV\n", - "Running n20= 2.36122990457104 , T= 16.94559763255876 keV\n", - "Running n20= 2.87640733829563 , T= 17.851779324139443 keV\n", - "Running n20= 1.5884637539841542 , T= 18.757961015720124 keV\n", - "Running n20= 1.2879435843114764 , T= 21.023415244671828 keV\n", - "Running n20= 0.9874234146387985 , T= 13.32087086623603 keV\n", - "Running n20= 2.618818621433335 , T= 19.437597284405634 keV\n", - "Running n20= 1.8460524708464492 , T= 18.757961015720124 keV\n", - "Running n20= 2.36122990457104 , T= 17.17214305545393 keV\n", - "Running n20= 2.87640733829563 , T= 18.07832474703461 keV\n", - "Running n20= 0.9874234146387985 , T= 13.5474162891312 keV\n", - "Running n20= 1.2879435843114764 , T= 21.249960667567 keV\n", - "Running n20= 2.618818621433335 , T= 19.664142707300805 keV\n", - "Running n20= 1.8460524708464492 , T= 18.98450643861529 keV\n", - "Running n20= 2.36122990457104 , T= 17.3986884783491 keV\n", - "Running n20= 2.87640733829563 , T= 18.30487016992978 keV\n", - "Running n20= 0.9874234146387985 , T= 13.77396171202637 keV\n", - "Running n20= 1.2879435843114764 , T= 21.47650609046217 keV\n", - "Running n20= 2.618818621433335 , T= 19.890688130195976 keV\n", - "Running n20= 1.8460524708464492 , T= 19.211051861510462 keV\n", - "Running n20= 1.5884637539841542 , T= 18.98450643861529 keV\n", - "Running n20= 2.1036411877087446 , T= 17.851779324139443 keV\n", - "Running n20= 2.36122990457104 , T= 17.625233901244272 keV\n", - "Running n20= 2.87640733829563 , T= 18.531415592824953 keV\n", - "Running n20= 0.9874234146387985 , T= 14.000507134921541 keV\n", - "Running n20= 1.2879435843114764 , T= 21.703051513357337 keV\n", - "Running n20= 2.618818621433335 , T= 20.117233553091147 keV\n", - "Running n20= 1.5884637539841542 , T= 19.211051861510462 keV\n", - "Running n20= 2.36122990457104 , T= 17.851779324139443 keV\n", - "Running n20= 2.87640733829563 , T= 18.757961015720124 keV\n", - "Running n20= 0.9874234146387985 , T= 14.227052557816712 keV\n", - "Running n20= 1.2879435843114764 , T= 21.92959693625251 keV\n", - "Running n20= 2.618818621433335 , T= 20.343778975986318 keV\n", - "Running n20= 1.5884637539841542 , T= 19.437597284405634 keV\n", - "Running n20= 2.36122990457104 , T= 18.07832474703461 keV\n", - "Running n20= 2.87640733829563 , T= 18.98450643861529 keV\n", - "Running n20= 1.2879435843114764 , T= 22.15614235914768 keV\n", - "Running n20= 0.9874234146387985 , T= 14.453597980711884 keV\n", - "Running n20= 2.1036411877087446 , T= 18.07832474703461 keV\n", - "Running n20= 1.8460524708464492 , T= 19.437597284405634 keV\n", - "Running n20= 1.5884637539841542 , T= 19.664142707300805 keV\n", - "Running n20= 2.618818621433335 , T= 20.57032439888149 keV\n", - "Running n20= 2.36122990457104 , T= 18.30487016992978 keV\n", - "Running n20= 2.87640733829563 , T= 19.211051861510462 keV\n", - "Running n20= 0.9874234146387985 , T= 14.680143403607053 keV\n", - "Running n20= 2.1036411877087446 , T= 18.30487016992978 keV\n", - "Running n20= 1.2879435843114764 , T= 22.38268778204285 keV\n", - "Running n20= 1.5884637539841542 , T= 19.890688130195976 keV\n", - "Running n20= 2.36122990457104 , T= 18.531415592824953 keV\n", - "Running n20= 2.87640733829563 , T= 19.437597284405634 keV\n", - "Running n20= 0.9874234146387985 , T= 14.906688826502224 keV\n", - "Running n20= 2.1036411877087446 , T= 18.531415592824953 keV\n", - "Running n20= 1.2879435843114764 , T= 22.609233204938022 keV\n", - "Running n20= 1.5884637539841542 , T= 20.117233553091147 keV\n", - "Running n20= 2.36122990457104 , T= 18.757961015720124 keV\n", - "Running n20= 1.8460524708464492 , T= 19.664142707300805 keV\n", - "Running n20= 2.87640733829563 , T= 19.664142707300805 keV\n", - "Running n20= 2.618818621433335 , T= 20.796869821776657 keV\n", - "Running n20= 0.9874234146387985 , T= 15.133234249397393 keV\n", - "Running n20= 2.1036411877087446 , T= 18.757961015720124 keV\n", - "Running n20= 1.2879435843114764 , T= 22.835778627833193 keV\n", - "Running n20= 1.5884637539841542 , T= 20.343778975986318 keV\n", - "Running n20= 2.36122990457104 , T= 18.98450643861529 keV\n", - "Running n20= 2.618818621433335 , T= 21.023415244671828 keV\n", - "Running n20= 0.9874234146387985 , T= 15.359779672292564 keV\n", - "Running n20= 2.1036411877087446 , T= 18.98450643861529 keV\n", - "Running n20= 1.5884637539841542 , T= 20.57032439888149 keV\n", - "Running n20= 1.2879435843114764 , T= 23.062324050728364 keV\n", - "Running n20= 2.36122990457104 , T= 19.211051861510462 keV\n", - "Running n20= 2.618818621433335 , T= 21.249960667567 keV\n", - "Running n20= 0.9874234146387985 , T= 15.586325095187735 keV\n", - "Running n20= 2.1036411877087446 , T= 19.211051861510462 keV\n", - "Running n20= 1.5884637539841542 , T= 20.796869821776657 keV\n", - "Running n20= 1.2879435843114764 , T= 23.288869473623535 keV\n", - "Running n20= 1.8460524708464492 , T= 19.890688130195976 keV\n", - "Running n20= 2.87640733829563 , T= 19.890688130195976 keV\n", - "Running n20= 2.618818621433335 , T= 21.47650609046217 keV\n", - "Running n20= 0.9874234146387985 , T= 15.812870518082907 keV\n", - "Running n20= 2.1036411877087446 , T= 19.437597284405634 keV\n", - "Running n20= 2.36122990457104 , T= 19.437597284405634 keV\n", - "Running n20= 1.5884637539841542 , T= 21.023415244671828 keV\n", - "Running n20= 1.2879435843114764 , T= 23.515414896518706 keV\n", - "Running n20= 1.8460524708464492 , T= 20.117233553091147 keV\n", - "Running n20= 2.618818621433335 , T= 21.703051513357337 keV\n", - "Running n20= 2.1036411877087446 , T= 19.664142707300805 keV\n", - "Running n20= 0.9874234146387985 , T= 16.039415940978078 keV\n", - "Running n20= 1.2879435843114764 , T= 23.741960319413877 keV\n", - "Running n20= 2.36122990457104 , T= 19.664142707300805 keV\n", - "Running n20= 1.8460524708464492 , T= 20.343778975986318 keV\n", - "Running n20= 2.618818621433335 , T= 21.92959693625251 keV\n", - "Running n20= 2.87640733829563 , T= 20.117233553091147 keV\n", - "Running n20= 2.1036411877087446 , T= 19.890688130195976 keV\n", - "Running n20= 0.9874234146387985 , T= 16.265961363873245 keV\n", - "Running n20= 1.2879435843114764 , T= 23.968505742309045 keV\n", - "Running n20= 2.36122990457104 , T= 19.890688130195976 keV\n", - "Running n20= 1.8460524708464492 , T= 20.57032439888149 keV\n", - "Running n20= 2.618818621433335 , T= 22.15614235914768 keV\n", - "Running n20= 1.5884637539841542 , T= 21.249960667567 keV\n", - "Running n20= 2.1036411877087446 , T= 20.117233553091147 keV\n", - "Running n20= 0.9874234146387985 , T= 16.492506786768416 keV\n", - "Running n20= 1.2879435843114764 , T= 24.195051165204216 keV\n", - "Running n20= 2.36122990457104 , T= 20.117233553091147 keV\n", - "Running n20= 1.8460524708464492 , T= 20.796869821776657 keV\n", - "Running n20= 2.618818621433335 , T= 22.38268778204285 keV\n", - "Running n20= 2.1036411877087446 , T= 20.343778975986318 keV\n", - "Running n20= 0.9874234146387985 , T= 16.719052209663587 keV\n", - "Running n20= 1.2879435843114764 , T= 24.421596588099387 keV\n", - "Running n20= 2.36122990457104 , T= 20.343778975986318 keV\n", - "Running n20= 1.8460524708464492 , T= 21.023415244671828 keV\n", - "Running n20= 2.618818621433335 , T= 22.609233204938022 keV\n", - "Running n20= 2.87640733829563 , T= 20.343778975986318 keV\n", - "Running n20= 2.1036411877087446 , T= 20.57032439888149 keV\n", - "Running n20= 0.9874234146387985 , T= 16.94559763255876 keV\n", - "Running n20= 1.3308750371218587 , T= 13.32087086623603 keV\n", - "Running n20= 2.36122990457104 , T= 20.57032439888149 keV\n", - "Running n20= 1.8460524708464492 , T= 21.249960667567 keV\n", - "Running n20= 2.618818621433335 , T= 22.835778627833193 keV\n", - "Running n20= 2.87640733829563 , T= 20.57032439888149 keV\n", - "Running n20= 0.9874234146387985 , T= 17.17214305545393 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.3308750371218587 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.3308750371218587 , T= 13.5474162891312 keV\n", - "Running n20=Running n20= 1.8460524708464492 , T= 21.47650609046217 keV\n", - "Running n20= 1.5884637539841542 , T= 21.47650609046217 keV\n", - "Running n20= 0.9874234146387985 , T= 17.3986884783491 keV\n", - "Running n20= 2.618818621433335 , T= 23.062324050728364 keV\n", - "Running n20= 2.1036411877087446 , T= 20.796869821776657 keV\n", - "Running n20= 2.87640733829563 , T= 20.796869821776657 keV\n", - "Running n20= 1.3308750371218587 , T= 13.77396171202637 keV\n", - " 2.36122990457104 , T= 20.796869821776657 keV\n", - "Running n20= 1.5884637539841542 , T= 21.703051513357337 keV\n", - "Running n20= 2.618818621433335 , T= 23.288869473623535 keV\n", - "Running n20= 2.1036411877087446 , T= 21.023415244671828 keV\n", - "Running n20= 1.8460524708464492 , T= 21.703051513357337 keV\n", - "Running n20= 2.87640733829563 , T= 21.023415244671828 keV\n", - "Running n20= 0.9874234146387985 , T= 17.625233901244272 keV\n", - "Running n20= 2.36122990457104 , T= 21.023415244671828 keV\n", - "Running n20= 1.5884637539841542 , T= 21.92959693625251 keV\n", - "Running n20= 2.618818621433335 , T= 23.515414896518706 keV\n", - "Running n20= 2.1036411877087446 , T= 21.249960667567 keV\n", - "Running n20= 1.3308750371218587 , T= 14.000507134921541 keV\n", - "Running n20= 1.8460524708464492 , T= 21.92959693625251 keV\n", - "Running n20= 1.5884637539841542 , T= 22.15614235914768 keV\n", - "Running n20= 2.1036411877087446 , T= 21.47650609046217 keV\n", - "Running n20= 2.87640733829563 , T= 21.249960667567 keV\n", - "Running n20= 0.9874234146387985 , T= 17.851779324139443 keV\n", - "Running n20= 1.8460524708464492 , T= 22.15614235914768 keV\n", - "Running n20= 2.618818621433335 , T= 23.741960319413877 keV\n", - "Running n20= 2.36122990457104 , T= 21.249960667567 keV\n", - "Running n20= 1.5884637539841542 , T= 22.38268778204285 keV\n", - "Running n20= 2.1036411877087446 , T= 21.703051513357337 keV\n", - "Running n20= 2.87640733829563 , T= 21.47650609046217 keV\n", - "Running n20= 0.9874234146387985 , T= 18.07832474703461 keV\n", - "Running n20= 1.8460524708464492 , T= 22.38268778204285 keV\n", - "Running n20= 2.36122990457104 , T= 21.47650609046217 keV\n", - "Running n20= 1.5884637539841542 , T= 22.609233204938022 keV\n", - "Running n20= 1.3308750371218587 , T= 14.227052557816712 keV\n", - "Running n20= 2.1036411877087446 , T= 21.92959693625251 keV\n", - "Running n20= 2.87640733829563 , T= 21.703051513357337 keV\n", - "Running n20= 1.8460524708464492 , T= 22.609233204938022 keV\n", - "Running n20= 0.9874234146387985 , T= 18.30487016992978 keV\n", - "Running n20= 2.618818621433335 , T= 23.968505742309045 keV\n", - "Running n20= 2.36122990457104 , T= 21.703051513357337 keV\n", - "Running n20= 1.5884637539841542 , T= 22.835778627833193 keV\n", - "Running n20= 1.3308750371218587 , T= 14.453597980711884 keV\n", - "Running n20= 1.8460524708464492 , T= 22.835778627833193 keV\n", - "Running n20= 0.9874234146387985 , T= 18.531415592824953 keV\n", - "Running n20= 2.618818621433335 , T= 24.195051165204216 keV\n", - "Running n20= 2.36122990457104 , T= 21.92959693625251 keV\n", - "Running n20= 2.87640733829563 , T= 21.92959693625251 keV\n", - "Running n20= 2.1036411877087446 , T= 22.15614235914768 keV\n", - "Running n20= 1.3308750371218587 , T= 14.680143403607053 keV\n", - "Running n20= 1.8460524708464492 , T= 23.062324050728364 keV\n", - "Running n20= 2.618818621433335 , T= 24.421596588099387 keV\n", - "Running n20= 2.36122990457104 , T= 22.15614235914768 keV\n", - "Running n20= 2.87640733829563 , T= 22.15614235914768 keV\n", - "Running n20= 2.1036411877087446 , T= 22.38268778204285 keV\n", - "Running n20= 1.3308750371218587 , T= 14.906688826502224 keV\n", - "Running n20= 1.5884637539841542 , T= 23.062324050728364 keV\n", - "Running n20= 1.8460524708464492 , T= 23.288869473623535 keV\n", - "Running n20= 2.6617500742437175 , T= 13.32087086623603 keV\n", - "Running n20= 0.9874234146387985 , T= 18.757961015720124 keV\n", - "Running n20= 2.36122990457104 , T= 22.38268778204285 keV\n", - "Running n20= 2.87640733829563 , T= 22.38268778204285 keV\n", - "Running n20= 2.1036411877087446 , T= 22.609233204938022 keV\n", - "Running n20= 1.3308750371218587 , T= 15.133234249397393 keV\n", - "Running n20= 1.8460524708464492 , T= 23.515414896518706 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.6617500742437175 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.6617500742437175 , T= 13.5474162891312 keV\n", - "Running n20= 2.87640733829563 , T= 22.609233204938022 keV\n", - "Running n20= 2.1036411877087446 , T= 22.835778627833193 keV\n", - "Running n20= 2.36122990457104 , T= 22.609233204938022 keV\n", - "Running n20= 1.3308750371218587 , T= 15.359779672292564 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.6617500742437175 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.6617500742437175 , T= 13.77396171202637 keV\n", - "Running n20= 0.9874234146387985 , T= 18.98450643861529 keV\n", - "Running n20= 2.87640733829563 , T= 22.835778627833193 keV\n", - "Running n20= 1.3308750371218587 , T= 15.586325095187735 keV\n", - "Running n20= 1.5884637539841542 , T= 23.288869473623535 keV\n", - "Running n20= 2.6617500742437175 , T= 14.000507134921541 keV\n", - "Running n20= 2.36122990457104 , T= 22.835778627833193 keV\n", - "Running n20= 2.87640733829563 , T= 23.062324050728364 keV\n", - "Running n20= 1.3308750371218587 , T= 15.812870518082907 keV\n", - "Running n20= 1.5884637539841542 , T= 23.515414896518706 keV\n", - "Running n20= 2.1036411877087446 , T= 23.062324050728364 keV\n", - "Running n20= 2.6617500742437175 , T= 14.227052557816712 keV\n", - "Running n20= 2.87640733829563 , T= 23.288869473623535 keV\n", - "Running n20= 2.36122990457104 , T= 23.062324050728364 keV\n", - "Running n20= 1.8460524708464492 , T= 23.741960319413877 keV\n", - "Running n20= 1.3308750371218587 , T= 16.039415940978078 keV\n", - "Running n20= 2.1036411877087446 , T= 23.288869473623535 keV\n", - "Running n20= 2.6617500742437175 , T= 14.453597980711884 keV\n", - "Running n20= 1.5884637539841542 , T= 23.741960319413877 keV\n", - "Running n20= 2.36122990457104 , T= 23.288869473623535 keV\n", - "Running n20= 2.87640733829563 , T= 23.515414896518706 keV\n", - "Running n20= 2.1036411877087446 , T= 23.515414896518706 keV\n", - "Running n20= 2.6617500742437175 , T= 14.680143403607053 keV\n", - "Running n20= 2.36122990457104 , T= 23.515414896518706 keV\n", - "Running n20= 1.5884637539841542 , T= 23.968505742309045 keV\n", - "Running n20= 2.87640733829563 , T= 23.741960319413877 keV\n", - "Running n20= 1.8460524708464492 , T= 23.968505742309045 keV\n", - "Running n20= 1.3308750371218587 , T= 16.265961363873245 keV\n", - "Running n20= 2.1036411877087446 , T= 23.741960319413877 keV\n", - "Running n20= 2.36122990457104 , T= 23.741960319413877 keV\n", - "Running n20= 2.6617500742437175 , T= 14.906688826502224 keV\n", - "Running n20= 1.5884637539841542 , T= 24.195051165204216 keV\n", - "Running n20= 2.87640733829563 , T= 23.968505742309045 keV\n", - "Running n20= 2.1036411877087446 , T= 23.968505742309045 keV\n", - "Running n20= 2.36122990457104 , T= 23.968505742309045 keV\n", - "Running n20= 2.6617500742437175 , T= 15.133234249397393 keV\n", - "Running n20= 1.5884637539841542 , T= 24.421596588099387 keV\n", - "Running n20= 2.87640733829563 , T= 24.195051165204216 keV\n", - "Running n20= 2.1036411877087446 , T= 24.195051165204216 keV\n", - "Running n20= 2.36122990457104 , T= 24.195051165204216 keV\n", - "Running n20= 2.6617500742437175 , T= 15.359779672292564 keV\n", - "Running n20= 1.8460524708464492 , T= 24.195051165204216 keV\n", - "Running n20= 1.3308750371218587 , T= 16.492506786768416 keV\n", - "Running n20= 1.6313952067945365 , T= 13.32087086623603 keV\n", - "Running n20= 2.87640733829563 , T= 24.421596588099387 keV\n", - "Running n20= 0.9874234146387985 , T= 19.211051861510462 keV\n", - "Running n20= 2.1036411877087446 , T= 24.421596588099387 keV\n", - "Running n20= 2.36122990457104 , T= 24.421596588099387 keV\n", - "Running n20= 2.919338791106013 , T= 13.32087086623603 keV\n", - "Running n20= 1.8460524708464492 , T= 24.421596588099387 keV\n", - "Running n20= 0.9874234146387985 , T= 19.437597284405634 keV\n", - "Running n20= 2.146572640519127 , T= 13.32087086623603 keV\n", - "Running n20= 2.4041613573814224 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.919338791106013 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.919338791106013 , T= 13.5474162891312 keV\n", - "Running n20= 2.6617500742437175 , T= 15.586325095187735 keV\n", - "Running n20= 1.888983923656832 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.6313952067945365 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.6313952067945365 , T= 13.5474162891312 keV\n", - "Running n20= 0.9874234146387985 , T= 19.664142707300805 keV\n", - "Running n20= 1.3308750371218587 , T= 16.719052209663587 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.146572640519127 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.146572640519127 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.919338791106013 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.919338791106013 , T= 13.77396171202637 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.4041613573814224 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.4041613573814224 , T= 13.5474162891312 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.888983923656832 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.888983923656832 , T= 13.5474162891312 keV\n", - "Running n20= 1.6313952067945365 , T= 13.77396171202637 keV\n", - "Running n20= 1.3308750371218587 , T= 16.94559763255876 keV\n", - "Running n20= 2.6617500742437175 , T= 15.812870518082907 keV\n", - "Running n20= 2.919338791106013 , T= 14.000507134921541 keV\n", - "Running n20= 0.9874234146387985 , T= 19.890688130195976 keV\n", - "Running n20= 1.888983923656832 , T= 13.77396171202637 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.146572640519127 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.146572640519127 , T= 13.77396171202637 keV\n", - "Running n20= 1.3308750371218587 , T= 17.17214305545393 keV\n", - "Running n20= 2.6617500742437175 , T= 16.039415940978078 keV\n", - "Running n20= 2.919338791106013 , T= 14.227052557816712 keV\n", - "Running n20= 1.6313952067945365 , T= 14.000507134921541 keV\n", - "Running n20= 1.3308750371218587 , T= 17.3986884783491 keV\n", - "Running n20= 2.6617500742437175 , T= 16.265961363873245 keV\n", - "Running n20= 1.888983923656832 , T= 14.000507134921541 keV\n", - "Running n20= 2.919338791106013 , T= 14.453597980711884 keV\n", - "Running n20= 2.146572640519127 , T= 14.000507134921541 keV\n", - "Running n20= 1.3308750371218587 , T= 17.625233901244272 keV\n", - "Running n20= 1.6313952067945365 , T= 14.227052557816712 keV\n", - "Running n20= 2.919338791106013 , T= 14.680143403607053 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.4041613573814224 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.4041613573814224 , T= 13.77396171202637 keV\n", - "Running n20= 2.6617500742437175 , T= 16.492506786768416 keV\n", - "Running n20= 0.9874234146387985 , T= 20.117233553091147 keV\n", - "Running n20= 2.146572640519127 , T= 14.227052557816712 keV\n", - "Running n20= 1.3308750371218587 , T= 17.851779324139443 keV\n", - "Running n20= 1.6313952067945365 , T= 14.453597980711884 keV\n", - "Running n20= 2.919338791106013 , T= 14.906688826502224 keV\n", - "Running n20= 2.4041613573814224 , T= 14.000507134921541 keV\n", - "Running n20= 2.6617500742437175 , T= 16.719052209663587 keV\n", - "Running n20= 1.888983923656832 , T= 14.227052557816712 keV\n", - "Running n20= 2.146572640519127 , T= 14.453597980711884 keV\n", - "Running n20= 1.3308750371218587 , T= 18.07832474703461 keV\n", - "Running n20= 2.4041613573814224 , T= 14.227052557816712 keV\n", - "Running n20= 1.888983923656832 , T= 14.453597980711884 keV\n", - "Running n20= 2.6617500742437175 , T= 16.94559763255876 keV\n", - "Running n20= 1.6313952067945365 , T= 14.680143403607053 keV\n", - "Running n20= 2.146572640519127 , T= 14.680143403607053 keV\n", - "Running n20= 2.4041613573814224 , T= 14.453597980711884 keV\n", - "Running n20= 2.6617500742437175 , T= 17.17214305545393 keV\n", - "Running n20= 1.3308750371218587 , T= 18.30487016992978 keV\n", - "Running n20= 2.146572640519127 , T= 14.906688826502224 keV\n", - "Running n20= 2.4041613573814224 , T= 14.680143403607053 keV\n", - "Running n20= 2.919338791106013 , T= 15.133234249397393 keV\n", - "Running n20= 2.6617500742437175 , T= 17.3986884783491 keV\n", - "Running n20= 1.888983923656832 , T= 14.680143403607053 keV\n", - "Running n20= 1.6313952067945365 , T= 14.906688826502224 keV\n", - "Running n20= 0.9874234146387985 , T= 20.343778975986318 keV\n", - "Running n20= 2.146572640519127 , T= 15.133234249397393 keV\n", - "Running n20= 2.6617500742437175 , T= 17.625233901244272 keV\n", - "Running n20= 1.3308750371218587 , T= 18.531415592824953 keV\n", - "Running n20= 2.4041613573814224 , T= 14.906688826502224 keV\n", - "Running n20= 1.888983923656832 , T= 14.906688826502224 keV\n", - "Running n20= 0.9874234146387985 , T= 20.57032439888149 keV\n", - "Running n20= 1.6313952067945365 , T= 15.133234249397393 keV\n", - "Running n20= 2.146572640519127 , T= 15.359779672292564 keV\n", - "Running n20= 2.6617500742437175 , T= 17.851779324139443 keV\n", - "Running n20= 1.3308750371218587 , T= 18.757961015720124 keV\n", - "Running n20= 1.888983923656832 , T= 15.133234249397393 keV\n", - "Running n20= 0.9874234146387985 , T= 20.796869821776657 keV\n", - "Running n20= 1.6313952067945365 , T= 15.359779672292564 keV\n", - "Running n20= 2.146572640519127 , T= 15.586325095187735 keV\n", - "Running n20= 2.6617500742437175 , T= 18.07832474703461 keV\n", - "Running n20= 1.3308750371218587 , T= 18.98450643861529 keV\n", - "Running n20= 1.888983923656832 , T= 15.359779672292564 keV\n", - "Running n20= 1.6313952067945365 , T= 15.586325095187735 keV\n", - "Running n20= 0.9874234146387985 , T= 21.023415244671828 keV\n", - "Running n20= 2.146572640519127 , T= 15.812870518082907 keV\n", - "Running n20= 2.6617500742437175 , T= 18.30487016992978 keV\n", - "Running n20= 1.3308750371218587 , T= 19.211051861510462 keV\n", - "Running n20= 2.4041613573814224 , T= 15.133234249397393 keV\n", - "Running n20= 1.888983923656832 , T= 15.586325095187735 keV\n", - "Running n20= 1.6313952067945365 , T= 15.812870518082907 keV\n", - "Running n20= 0.9874234146387985 , T= 21.249960667567 keV\n", - "Running n20= 2.919338791106013 , T= 15.359779672292564 keV\n", - "Running n20= 2.6617500742437175 , T= 18.531415592824953 keV\n", - "Running n20= 2.146572640519127 , T= 16.039415940978078 keV\n", - "Running n20= 1.3308750371218587 , T= 19.437597284405634 keV\n", - "Running n20= 1.6313952067945365 , T= 16.039415940978078 keV\n", - "Running n20= 2.6617500742437175 , T= 18.757961015720124 keV\n", - "Running n20= 1.888983923656832 , T= 15.812870518082907 keV\n", - "Running n20= 2.4041613573814224 , T= 15.359779672292564 keV\n", - "Running n20= 1.3308750371218587 , T= 19.664142707300805 keV\n", - "Running n20= 2.919338791106013 , T= 15.586325095187735 keV\n", - "Running n20= 1.6313952067945365 , T= 16.265961363873245 keV\n", - "Running n20= 2.146572640519127 , T= 16.265961363873245 keV\n", - "Running n20= 2.6617500742437175 , T= 18.98450643861529 keV\n", - "Running n20= 1.3308750371218587 , T= 19.890688130195976 keV\n", - "Running n20= 2.4041613573814224 , T= 15.586325095187735 keV\n", - "Running n20= 1.6313952067945365 , T= 16.492506786768416 keV\n", - "Running n20= 2.146572640519127 , T= 16.492506786768416 keV\n", - "Running n20= 2.6617500742437175 , T= 19.211051861510462 keV\n", - "Running n20= 2.919338791106013 , T= 15.812870518082907 keV\n", - "Running n20= 1.3308750371218587 , T= 20.117233553091147 keV\n", - "Running n20= 0.9874234146387985 , T= 21.47650609046217 keV\n", - "Running n20= 1.6313952067945365 , T= 16.719052209663587 keV\n", - "Running n20= 2.4041613573814224 , T= 15.812870518082907 keV\n", - "Running n20= 1.888983923656832 , T= 16.039415940978078 keV\n", - "Running n20= 2.6617500742437175 , T= 19.437597284405634 keV\n", - "Running n20= 2.146572640519127 , T= 16.719052209663587 keV\n", - "Running n20= 2.919338791106013 , T= 16.039415940978078 keV\n", - "Running n20= 1.3308750371218587 , T= 20.343778975986318 keV\n", - "Running n20= 0.9874234146387985 , T= 21.703051513357337 keV\n", - "Running n20= 1.888983923656832 , T= 16.265961363873245 keV\n", - "Running n20= 2.6617500742437175 , T= 19.664142707300805 keV\n", - "Running n20= 2.146572640519127 , T= 16.94559763255876 keV\n", - "Running n20= 2.919338791106013 , T= 16.265961363873245 keV\n", - "Running n20= 1.3308750371218587 , T= 20.57032439888149 keV\n", - "Running n20= 0.9874234146387985 , T= 21.92959693625251 keV\n", - "Running n20= 1.888983923656832 , T= 16.492506786768416 keV\n", - "Running n20= 2.6617500742437175 , T= 19.890688130195976 keV\n", - "Running n20= 2.146572640519127 , T= 17.17214305545393 keV\n", - "Running n20= 2.919338791106013 , T= 16.492506786768416 keV\n", - "Running n20= 1.3308750371218587 , T= 20.796869821776657 keV\n", - "Running n20= 2.4041613573814224 , T= 16.039415940978078 keV\n", - "Running n20= 1.6313952067945365 , T= 16.94559763255876 keV\n", - "Running n20= 0.9874234146387985 , T= 22.15614235914768 keV\n", - "Running n20= 2.6617500742437175 , T= 20.117233553091147 keV\n", - "Running n20= 2.919338791106013 , T= 16.719052209663587 keV\n", - "Running n20= 1.888983923656832 , T= 16.719052209663587 keV\n", - "Running n20= 1.3308750371218587 , T= 21.023415244671828 keV\n", - "Running n20= 1.6313952067945365 , T= 17.17214305545393 keV\n", - "Running n20= 2.6617500742437175 , T= 20.343778975986318 keV\n", - "Running n20= 0.9874234146387985 , T= 22.38268778204285 keV\n", - "Running n20= 2.919338791106013 , T= 16.94559763255876 keV\n", - "Running n20= 1.3308750371218587 , T= 21.249960667567 keV\n", - "Running n20= 2.146572640519127 , T= 17.3986884783491 keV\n", - "Running n20= 1.6313952067945365 , T= 17.3986884783491 keV\n", - "Running n20= 2.4041613573814224 , T= 16.265961363873245 keV\n", - "Running n20= 2.919338791106013 , T= 17.17214305545393 keV\n", - "Running n20= 1.888983923656832 , T= 16.94559763255876 keV\n", - "Running n20= 0.9874234146387985 , T= 22.609233204938022 keV\n", - "Running n20= 1.3308750371218587 , T= 21.47650609046217 keV\n", - "Running n20= 2.146572640519127 , T= 17.625233901244272 keV\n", - "Running n20= 1.6313952067945365 , T= 17.625233901244272 keV\n", - "Running n20= 2.4041613573814224 , T= 16.492506786768416 keV\n", - "Running n20= 1.888983923656832 , T= 17.17214305545393 keV\n", - "Running n20= 0.9874234146387985 , T= 22.835778627833193 keV\n", - "Running n20= 1.3308750371218587 , T= 21.703051513357337 keV\n", - "Running n20= 2.146572640519127 , T= 17.851779324139443 keV\n", - "Running n20= 1.6313952067945365 , T= 17.851779324139443 keV\n", - "Running n20= 2.4041613573814224 , T= 16.719052209663587 keV\n", - "Running n20= 1.888983923656832 , T= 17.3986884783491 keV\n", - "Running n20= 0.9874234146387985 , T= 23.062324050728364 keV\n", - "Running n20= 1.3308750371218587 , T= 21.92959693625251 keV\n", - "Running n20= 2.146572640519127 , T= 18.07832474703461 keV\n", - "Running n20= 1.6313952067945365 , T= 18.07832474703461 keV\n", - "Running n20= 2.919338791106013 , T= 17.3986884783491 keV\n", - "Running n20= 2.4041613573814224 , T= 16.94559763255876 keV\n", - "Running n20= 1.888983923656832 , T= 17.625233901244272 keV\n", - "Running n20= 0.9874234146387985 , T= 23.288869473623535 keV\n", - "Running n20= 1.3308750371218587 , T= 22.15614235914768 keV\n", - "Running n20= 2.146572640519127 , T= 18.30487016992978 keV\n", - "Running n20= 1.6313952067945365 , T= 18.30487016992978 keV\n", - "Running n20= 2.4041613573814224 , T= 17.17214305545393 keV\n", - "Running n20= 1.888983923656832 , T= 17.851779324139443 keV\n", - "Running n20= 0.9874234146387985 , T= 23.515414896518706 keV\n", - "Running n20= 1.3308750371218587 , T= 22.38268778204285 keV\n", - "Running n20= 2.146572640519127 , T= 18.531415592824953 keV\n", - "Running n20= 2.4041613573814224 , T= 17.3986884783491 keV\n", - "Running n20= 1.6313952067945365 , T= 18.531415592824953 keV\n", - "Running n20= 2.6617500742437175 , T= 20.57032439888149 keV\n", - "Running n20= 1.888983923656832 , T= 18.07832474703461 keV\n", - "Running n20= 1.3308750371218587 , T= 22.609233204938022 keV\n", - "Running n20= 0.9874234146387985 , T= 23.741960319413877 keV\n", - "Running n20= 2.4041613573814224 , T= 17.625233901244272 keV\n", - "Running n20= 2.146572640519127 , T= 18.757961015720124 keV\n", - "Running n20= 1.6313952067945365 , T= 18.757961015720124 keV\n", - "Running n20= 2.6617500742437175 , T= 20.796869821776657 keV\n", - "Running n20= 1.888983923656832 , T= 18.30487016992978 keV\n", - "Running n20= 1.3308750371218587 , T= 22.835778627833193 keV\n", - "Running n20= 2.919338791106013 , T= 17.625233901244272 keV\n", - "Running n20= 2.4041613573814224 , T= 17.851779324139443 keV\n", - "Running n20= 2.146572640519127 , T= 18.98450643861529 keV\n", - "Running n20= 1.6313952067945365 , T= 18.98450643861529 keV\n", - "Running n20= 2.6617500742437175 , T= 21.023415244671828 keV\n", - "Running n20= 1.3308750371218587 , T= 23.062324050728364 keV\n", - "Running n20= 1.888983923656832 , T= 18.531415592824953 keV\n", - "Running n20= 2.4041613573814224 , T= 18.07832474703461 keV\n", - "Running n20= 2.146572640519127 , T= 19.211051861510462 keV\n", - "Running n20= 1.6313952067945365 , T= 19.211051861510462 keV\n", - "Running n20= 2.6617500742437175 , T= 21.249960667567 keV\n", - "Running n20= 0.9874234146387985 , T= 23.968505742309045 keV\n", - "Running n20= 1.3308750371218587 , T= 23.288869473623535 keV\n", - "Running n20= 1.888983923656832 , T= 18.757961015720124 keV\n", - "Running n20= 2.4041613573814224 , T= 18.30487016992978 keV\n", - "Running n20= 2.146572640519127 , T= 19.437597284405634 keV\n", - "Running n20= 1.6313952067945365 , T= 19.437597284405634 keV\n", - "Running n20= 2.6617500742437175 , T= 21.47650609046217 keV\n", - "Running n20= 1.3308750371218587 , T= 23.515414896518706 keV\n", - "Running n20= 1.888983923656832 , T= 18.98450643861529 keV\n", - "Running n20= 2.4041613573814224 , T= 18.531415592824953 keV\n", - "Running n20= 2.146572640519127 , T= 19.664142707300805 keV\n", - "Running n20= 1.6313952067945365 , T= 19.664142707300805 keV\n", - "Running n20= 2.6617500742437175 , T= 21.703051513357337 keV\n", - "Running n20= 1.3308750371218587 , T= 23.741960319413877 keV\n", - "Running n20= 1.888983923656832 , T= 19.211051861510462 keV\n", - "Running n20= 2.4041613573814224 , T= 18.757961015720124 keV\n", - "Running n20= 2.919338791106013 , T= 17.851779324139443 keV\n", - "Running n20= 2.146572640519127 , T= 19.890688130195976 keV\n", - "Running n20= 1.6313952067945365 , T= 19.890688130195976 keV\n", - "Running n20= 0.9874234146387985 , T= 24.195051165204216 keV\n", - "Running n20= 2.6617500742437175 , T= 21.92959693625251 keV\n", - "Running n20= 1.3308750371218587 , T= 23.968505742309045 keV\n", - "Running n20= 1.888983923656832 , T= 19.437597284405634 keV\n", - "Running n20= 2.4041613573814224 , T= 18.98450643861529 keV\n", - "Running n20= 2.146572640519127 , T= 20.117233553091147 keV\n", - "Running n20= 1.6313952067945365 , T= 20.117233553091147 keV\n", - "Running n20= 2.6617500742437175 , T= 22.15614235914768 keV\n", - "Running n20= 1.3308750371218587 , T= 24.195051165204216 keV\n", - "Running n20= 1.888983923656832 , T= 19.664142707300805 keV\n", - "Running n20= 2.4041613573814224 , T= 19.211051861510462 keV\n", - "Running n20= 2.146572640519127 , T= 20.343778975986318 keV\n", - "Running n20= 1.6313952067945365 , T= 20.343778975986318 keV\n", - "Running n20= 2.6617500742437175 , T= 22.38268778204285 keV\n", - "Running n20= 2.919338791106013 , T= 18.07832474703461 keV\n", - "Running n20= 1.3308750371218587 , T= 24.421596588099387 keV\n", - "Running n20= 1.888983923656832 , T= 19.890688130195976 keV\n", - "Running n20= 2.4041613573814224 , T= 19.437597284405634 keV\n", - "Running n20= 2.146572640519127 , T= 20.57032439888149 keV\n", - "Running n20= 1.6313952067945365 , T= 20.57032439888149 keV\n", - "Running n20= 2.6617500742437175 , T= 22.609233204938022 keV\n", - "Running n20= 0.9874234146387985 , T= 24.421596588099387 keV\n", - "Running n20= 2.919338791106013 , T= 18.30487016992978 keV\n", - "Running n20= 1.888983923656832 , T= 20.117233553091147 keV\n", - "Running n20= 2.4041613573814224 , T= 19.664142707300805 keV\n", - "Running n20= 2.146572640519127 , T= 20.796869821776657 keV\n", - "Running n20= 1.3738064899322413 , T= 13.32087086623603 keV\n", - "Running n20= 1.6313952067945365 , T= 20.796869821776657 keV\n", - "Running n20= 2.6617500742437175 , T= 22.835778627833193 keV\n", - "Running n20= 1.030354867449181 , T= 13.32087086623603 keV\n", - "Running n20= 2.4041613573814224 , T= 19.890688130195976 keV\n", - "Running n20= 2.146572640519127 , T= 21.023415244671828 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.3738064899322413 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.3738064899322413 , T= 13.5474162891312 keV\n", - "Running n20= 1.6313952067945365 , T= 21.023415244671828 keV\n", - "Running n20= 2.6617500742437175 , T= 23.062324050728364 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.030354867449181 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.030354867449181 , T= 13.5474162891312 keV\n", - "Running n20= 2.4041613573814224 , T= 20.117233553091147 keV\n", - "Running n20= 2.146572640519127 , T= 21.249960667567 keV\n", - "Running n20= 2.919338791106013 , T= 18.531415592824953 keV\n", - "Running n20= 1.888983923656832 , T= 20.343778975986318 keV\n", - "Running n20= 1.3738064899322413 , T= 13.77396171202637 keV\n", - "Running n20= 1.6313952067945365 , T= 21.249960667567 keV\n", - "Running n20= 2.6617500742437175 , T= 23.288869473623535 keV\n", - "Running n20= 1.030354867449181 , T= 13.77396171202637 keV\n", - "Running n20= 2.4041613573814224 , T= 20.343778975986318 keV\n", - "Running n20= 2.146572640519127 , T= 21.47650609046217 keV\n", - "Running n20= 2.919338791106013 , T= 18.757961015720124 keV\n", - "Running n20= 1.3738064899322413 , T= 14.000507134921541 keV\n", - "Running n20= 1.888983923656832 , T= 20.57032439888149 keV\n", - "Running n20= 1.030354867449181 , T= 14.000507134921541 keV\n", - "Running n20= 1.6313952067945365 , T= 21.47650609046217 keV\n", - "Running n20= 2.146572640519127 , T= 21.703051513357337 keV\n", - "Running n20= 2.919338791106013 , T= 18.98450643861529 keV\n", - "Running n20= 1.3738064899322413 , T= 14.227052557816712 keV\n", - "Running n20= 1.888983923656832 , T= 20.796869821776657 keV\n", - "Running n20= 1.030354867449181 , T= 14.227052557816712 keV\n", - "Running n20= 1.6313952067945365 , T= 21.703051513357337 keV\n", - "Running n20= 2.146572640519127 , T= 21.92959693625251 keV\n", - "Running n20= 2.919338791106013 , T= 19.211051861510462 keV\n", - "Running n20= 1.3738064899322413 , T= 14.453597980711884 keV\n", - "Running n20= 1.888983923656832 , T= 21.023415244671828 keV\n", - "Running n20= 2.4041613573814224 , T= 20.57032439888149 keV\n", - "Running n20= 1.030354867449181 , T= 14.453597980711884 keV\n", - "Running n20= 2.6617500742437175 , T= 23.515414896518706 keV\n", - "Running n20= 1.6313952067945365 , T= 21.92959693625251 keV\n", - "Running n20= 2.146572640519127 , T= 22.15614235914768 keV\n", - "Running n20= 2.919338791106013 , T= 19.437597284405634 keV\n", - "Running n20= 1.3738064899322413 , T= 14.680143403607053 keV\n", - "Running n20= 1.888983923656832 , T= 21.249960667567 keV\n", - "Running n20= 1.030354867449181 , T= 14.680143403607053 keV\n", - "Running n20= 1.6313952067945365 , T= 22.15614235914768 keV\n", - "Running n20= 2.146572640519127 , T= 22.38268778204285 keV\n", - "Running n20= 2.919338791106013 , T= 19.664142707300805 keV\n", - "Running n20= 1.3738064899322413 , T= 14.906688826502224 keV\n", - "Running n20= 1.888983923656832 , T= 21.47650609046217 keV\n", - "Running n20= 1.030354867449181 , T= 14.906688826502224 keV\n", - "Running n20= 1.6313952067945365 , T= 22.38268778204285 keV\n", - "Running n20= 2.146572640519127 , T= 22.609233204938022 keV\n", - "Running n20= 2.919338791106013 , T= 19.890688130195976 keV\n", - "Running n20= 1.3738064899322413 , T= 15.133234249397393 keV\n", - "Running n20= 1.888983923656832 , T= 21.703051513357337 keV\n", - "Running n20= 2.4041613573814224 , T= 20.796869821776657 keV\n", - "Running n20= 1.030354867449181 , T= 15.133234249397393 keV\n", - "Running n20= 1.6313952067945365 , T= 22.609233204938022 keV\n", - "Running n20= 2.146572640519127 , T= 22.835778627833193 keV\n", - "Running n20= 2.919338791106013 , T= 20.117233553091147 keV\n", - "Running n20= 1.3738064899322413 , T= 15.359779672292564 keV\n", - "Running n20= 2.6617500742437175 , T= 23.741960319413877 keV\n", - "Running n20= 1.888983923656832 , T= 21.92959693625251 keV\n", - "Running n20= 1.030354867449181 , T= 15.359779672292564 keV\n", - "Running n20= 1.6313952067945365 , T= 22.835778627833193 keV\n", - "Running n20= 2.146572640519127 , T= 23.062324050728364 keV\n", - "Running n20= 2.919338791106013 , T= 20.343778975986318 keV\n", - "Running n20= 2.6617500742437175 , T= 23.968505742309045 keV\n", - "Running n20= 1.3738064899322413 , T= 15.586325095187735 keV\n", - "Running n20= 1.030354867449181 , T= 15.586325095187735 keV\n", - "Running n20= 1.6313952067945365 , T= 23.062324050728364 keV\n", - "Running n20= 2.4041613573814224 , T= 21.023415244671828 keV\n", - "Running n20= 2.146572640519127 , T= 23.288869473623535 keV\n", - "Running n20= 2.919338791106013 , T= 20.57032439888149 keV\n", - "Running n20= 1.888983923656832 , T= 22.15614235914768 keV\n", - "Running n20= 2.6617500742437175 , T= 24.195051165204216 keV\n", - "Running n20= 1.3738064899322413 , T= 15.812870518082907 keV\n", - "Running n20= 1.030354867449181 , T= 15.812870518082907 keV\n", - "Running n20= 1.6313952067945365 , T= 23.288869473623535 keV\n", - "Running n20= 2.919338791106013 , T= 20.796869821776657 keV\n", - "Running n20= 1.888983923656832 , T= 22.38268778204285 keV\n", - "Running n20= 2.6617500742437175 , T= 24.421596588099387 keV\n", - "Running n20= 1.3738064899322413 , T= 16.039415940978078 keV\n", - "Running n20= 1.030354867449181 , T= 16.039415940978078 keV\n", - "Running n20= 1.6313952067945365 , T= 23.515414896518706 keV\n", - "Running n20= 2.919338791106013 , T= 21.023415244671828 keV\n", - "Running n20= 2.7046815270541 , T= 13.32087086623603 keV\n", - "Running n20= 1.888983923656832 , T= 22.609233204938022 keV\n", - "Running n20= 1.3738064899322413 , T= 16.265961363873245 keV\n", - "Running n20= 2.4041613573814224 , T= 21.249960667567 keV\n", - "Running n20= 1.030354867449181 , T= 16.265961363873245 keV\n", - "Running n20= 1.6313952067945365 , T= 23.741960319413877 keV\n", - "Running n20= 2.919338791106013 , T= 21.249960667567 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7046815270541 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.7046815270541 , T= 13.5474162891312 keV\n", - "Running n20= 1.888983923656832 , T= 22.835778627833193 keV\n", - "Running n20= 1.3738064899322413 , T= 16.492506786768416 keV\n", - "Running n20= 2.4041613573814224 , T= 21.47650609046217 keV\n", - "Running n20= 1.6313952067945365 , T= 23.968505742309045 keV\n", - "Running n20= 2.146572640519127 , T= 23.515414896518706 keV\n", - "Running n20= 2.919338791106013 , T= 21.47650609046217 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7046815270541 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.7046815270541 , T= 13.77396171202637 keV\n", - "Running n20= 1.888983923656832 , T= 23.062324050728364 keV\n", - "Running n20= 1.3738064899322413 , T= 16.719052209663587 keV\n", - "Running n20= 2.4041613573814224 , T= 21.703051513357337 keV\n", - "Running n20= 1.6313952067945365 , T= 24.195051165204216 keV\n", - "Running n20= 2.919338791106013 , T= 21.703051513357337 keV\n", - "Running n20= 1.030354867449181 , T= 16.492506786768416 keV\n", - "Running n20= 2.7046815270541 , T= 14.000507134921541 keV\n", - "Running n20= 1.888983923656832 , T= 23.288869473623535 keV\n", - "Running n20= 2.4041613573814224 , T= 21.92959693625251 keV\n", - "Running n20= 1.6313952067945365 , T= 24.421596588099387 keV\n", - "Running n20= 2.919338791106013 , T= 21.92959693625251 keV\n", - "Running n20= 1.3738064899322413 , T= 16.94559763255876 keV\n", - "Running n20= 2.7046815270541 , T= 14.227052557816712 keV\n", - "Running n20= 1.030354867449181 , T= 16.719052209663587 keV\n", - "Running n20= 1.888983923656832 , T= 23.515414896518706 keV\n", - "Running n20= 2.146572640519127 , T= 23.741960319413877 keV\n", - "Running n20= 2.4041613573814224 , T= 22.15614235914768 keV\n", - "Running n20= 1.674326659604919 , T= 13.32087086623603 keV\n", - "Running n20= 2.919338791106013 , T= 22.15614235914768 keV\n", - "Running n20= 2.7046815270541 , T= 14.453597980711884 keV\n", - "Running n20= 1.030354867449181 , T= 16.94559763255876 keV\n", - "Running n20= 1.888983923656832 , T= 23.741960319413877 keV\n", - "Running n20= 2.4041613573814224 , T= 22.38268778204285 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.674326659604919 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.674326659604919 , T= 13.5474162891312 keV\n", - "Running n20= 2.919338791106013 , T= 22.38268778204285 keV\n", - "Running n20= 2.7046815270541 , T= 14.680143403607053 keV\n", - "Running n20= 1.030354867449181 , T= 17.17214305545393 keV\n", - "Running n20= 1.888983923656832 , T= 23.968505742309045 keV\n", - "Running n20= 2.4041613573814224 , T= 22.609233204938022 keV\n", - "Running n20= 1.674326659604919 , T= 13.77396171202637 keV\n", - "Running n20= 2.919338791106013 , T= 22.609233204938022 keV\n", - "Running n20= 2.7046815270541 , T= 14.906688826502224 keV\n", - "Running n20= 2.146572640519127 , T= 23.968505742309045 keV\n", - "Running n20= 1.030354867449181 , T= 17.3986884783491 keV\n", - "Running n20= 2.4041613573814224 , T= 22.835778627833193 keV\n", - "Running n20= 1.674326659604919 , T= 14.000507134921541 keV\n", - "Running n20= 1.3738064899322413 , T= 17.17214305545393 keV\n", - "Running n20= 2.919338791106013 , T= 22.835778627833193 keV\n", - "Running n20= 1.888983923656832 , T= 24.195051165204216 keV\n", - "Running n20= 2.7046815270541 , T= 15.133234249397393 keV\n", - "Running n20= 2.146572640519127 , T= 24.195051165204216 keV\n", - "Running n20= 1.030354867449181 , T= 17.625233901244272 keV\n", - "Running n20= 1.674326659604919 , T= 14.227052557816712 keV\n", - "Running n20= 2.919338791106013 , T= 23.062324050728364 keV\n", - "Running n20= 1.3738064899322413 , T= 17.3986884783491 keV\n", - "Running n20= 1.888983923656832 , T= 24.421596588099387 keV\n", - "Running n20= 2.146572640519127 , T= 24.421596588099387 keV\n", - "Running n20= 2.4041613573814224 , T= 23.062324050728364 keV\n", - "Running n20= 1.030354867449181 , T= 17.851779324139443 keV\n", - "Running n20= 1.674326659604919 , T= 14.453597980711884 keV\n", - "Running n20= 2.919338791106013 , T= 23.288869473623535 keV\n", - "Running n20= 1.9319153764672143 , T= 13.32087086623603 keV\n", - "Running n20= 1.3738064899322413 , T= 17.625233901244272 keV\n", - "Running n20= 2.7046815270541 , T= 15.359779672292564 keV\n", - "Running n20= 2.18950409332951 , T= 13.32087086623603 keV\n", - "Running n20= 1.674326659604919 , T= 14.680143403607053 keV\n", - "Running n20= 2.919338791106013 , T= 23.515414896518706 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.9319153764672143 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.9319153764672143 , T= 13.5474162891312 keV\n", - "Running n20= 1.3738064899322413 , T= 17.851779324139443 keV\n", - "Running n20= 2.7046815270541 , T= 15.586325095187735 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.18950409332951 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.18950409332951 , T= 13.5474162891312 keV\n", - "Running n20= 2.4041613573814224 , T= 23.288869473623535 keV\n", - "Running n20= 2.919338791106013 , T= 23.741960319413877 keV\n", - "Running n20= 1.030354867449181 , T= 18.07832474703461 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.9319153764672143 T= 13.5474162891312 is not physical.\n", - "Running n20= 1.9319153764672143 , T= 13.77396171202637 keV\n", - "Running n20= 1.674326659604919 , T= 14.906688826502224 keV\n", - "Running n20= 1.3738064899322413 , T= 18.07832474703461 keV\n", - "Running n20= 2.7046815270541 , T= 15.812870518082907 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.18950409332951 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.18950409332951 , T= 13.77396171202637 keV\n", - "Running n20= 2.4041613573814224 , T= 23.515414896518706 keV\n", - "Running n20= 2.919338791106013 , T= 23.968505742309045 keV\n", - "Running n20= 1.9319153764672143 , T= 14.000507134921541 keV\n", - "Running n20= 1.3738064899322413 , T= 18.30487016992978 keV\n", - "Running n20= 2.7046815270541 , T= 16.039415940978078 keV\n", - "Running n20= 2.18950409332951 , T= 14.000507134921541 keV\n", - "Running n20= 2.4041613573814224 , T= 23.741960319413877 keV\n", - "Running n20= 2.919338791106013 , T= 24.195051165204216 keV\n", - "Running n20= 1.9319153764672143 , T= 14.227052557816712 keV\n", - "Running n20= 1.3738064899322413 , T= 18.531415592824953 keV\n", - "Running n20= 2.7046815270541 , T= 16.265961363873245 keV\n", - "Running n20= 2.18950409332951 , T= 14.227052557816712 keV\n", - "Running n20= 2.4041613573814224 , T= 23.968505742309045 keV\n", - "Running n20= 2.919338791106013 , T= 24.421596588099387 keV\n", - "Running n20= 1.9319153764672143 , T= 14.453597980711884 keV\n", - "Running n20= 1.030354867449181 , T= 18.30487016992978 keV\n", - "Running n20= 1.3738064899322413 , T= 18.757961015720124 keV\n", - "Running n20= 2.7046815270541 , T= 16.492506786768416 keV\n", - "Running n20= 2.18950409332951 , T= 14.453597980711884 keV\n", - "Running n20= 2.4041613573814224 , T= 24.195051165204216 keV\n", - "Running n20= 2.9622702439163953 , T= 13.32087086623603 keV\n", - "Running n20= 1.9319153764672143 , T= 14.680143403607053 keV\n", - "Running n20= 1.3738064899322413 , T= 18.98450643861529 keV\n", - "Running n20= 1.674326659604919 , T= 15.133234249397393 keV\n", - "Running n20= 2.7046815270541 , T= 16.719052209663587 keV\n", - "Running n20= 2.18950409332951 , T= 14.680143403607053 keV\n", - "Running n20= 2.4041613573814224 , T= 24.421596588099387 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.9622702439163953 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.9622702439163953 , T= 13.5474162891312 keV\n", - "Running n20= 1.9319153764672143 , T= 14.906688826502224 keV\n", - "Running n20= 1.3738064899322413 , T= 19.211051861510462 keV\n", - "Running n20= 2.7046815270541 , T= 16.94559763255876 keV\n", - "Running n20= 1.674326659604919 , T= 15.359779672292564 keV\n", - "Running n20= 2.447092810191805 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.9622702439163953 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.9622702439163953 , T= 13.77396171202637 keV\n", - "Running n20= 1.030354867449181 , T= 18.531415592824953 keV\n", - "Running n20= 1.9319153764672143 , T= 15.133234249397393 keV\n", - "Running n20= 1.3738064899322413 , T= 19.437597284405634 keV\n", - "Running n20= 2.7046815270541 , T= 17.17214305545393 keV\n", - "Running n20= 1.674326659604919 , T= 15.586325095187735 keV\n", - "Running n20= 2.18950409332951 , T= 14.906688826502224 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.447092810191805 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.447092810191805 , T= 13.5474162891312 keV\n", - "Running n20= 2.9622702439163953 , T= 14.000507134921541 keV\n", - "Running n20= 1.9319153764672143 , T= 15.359779672292564 keV\n", - "Running n20= 1.3738064899322413 , T= 19.664142707300805 keV\n", - "Running n20= 2.7046815270541 , T= 17.3986884783491 keV\n", - "Running n20= 1.674326659604919 , T= 15.812870518082907 keV\n", - "Running n20= 2.9622702439163953 , T= 14.227052557816712 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.447092810191805 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.447092810191805 , T= 13.77396171202637 keV\n", - "Running n20= 1.9319153764672143 , T= 15.586325095187735 keV\n", - "Running n20= 1.3738064899322413 , T= 19.890688130195976 keV\n", - "Running n20= 1.030354867449181 , T= 18.757961015720124 keV\n", - "Running n20= 2.7046815270541 , T= 17.625233901244272 keV\n", - "Running n20= 1.674326659604919 , T= 16.039415940978078 keV\n", - "Running n20= 2.9622702439163953 , T= 14.453597980711884 keV\n", - "Running n20= 2.447092810191805 , T= 14.000507134921541 keV\n", - "Running n20= 1.9319153764672143 , T= 15.812870518082907 keV\n", - "Running n20= 1.3738064899322413 , T= 20.117233553091147 keV\n", - "Running n20= 2.18950409332951 , T= 15.133234249397393 keV\n", - "Running n20= 2.7046815270541 , T= 17.851779324139443 keV\n", - "Running n20= 1.674326659604919 , T= 16.265961363873245 keV\n", - "Running n20= 2.9622702439163953 , T= 14.680143403607053 keV\n", - "Running n20= 2.447092810191805 , T= 14.227052557816712 keV\n", - "Running n20= 1.9319153764672143 , T= 16.039415940978078 keV\n", - "Running n20= 1.3738064899322413 , T= 20.343778975986318 keV\n", - "Running n20= 2.7046815270541 , T= 18.07832474703461 keV\n", - "Running n20= 1.674326659604919 , T= 16.492506786768416 keV\n", - "Running n20= 2.9622702439163953 , T= 14.906688826502224 keV\n", - "Running n20= 2.447092810191805 , T= 14.453597980711884 keV\n", - "Running n20= 1.030354867449181 , T= 18.98450643861529 keV\n", - "Running n20= 1.9319153764672143 , T= 16.265961363873245 keV\n", - "Running n20= 1.3738064899322413 , T= 20.57032439888149 keV\n", - "Running n20= 2.18950409332951 , T= 15.359779672292564 keV\n", - "Running n20= 1.674326659604919 , T= 16.719052209663587 keV\n", - "Running n20= 2.447092810191805 , T= 14.680143403607053 keV\n", - "Running n20= 1.9319153764672143 , T= 16.492506786768416 keV\n", - "Running n20= 1.3738064899322413 , T= 20.796869821776657 keV\n", - "Running n20= 1.030354867449181 , T= 19.211051861510462 keV\n", - "Running n20= 2.7046815270541 , T= 18.30487016992978 keV\n", - "Running n20= 2.18950409332951 , T= 15.586325095187735 keV\n", - "Running n20= 1.674326659604919 , T= 16.94559763255876 keV\n", - "Running n20= 2.447092810191805 , T= 14.906688826502224 keV\n", - "Running n20= 2.9622702439163953 , T= 15.133234249397393 keV\n", - "Running n20= 1.9319153764672143 , T= 16.719052209663587 keV\n", - "Running n20= 1.3738064899322413 , T= 21.023415244671828 keV\n", - "Running n20= 1.030354867449181 , T= 19.437597284405634 keV\n", - "Running n20= 2.18950409332951 , T= 15.812870518082907 keV\n", - "Running n20= 1.674326659604919 , T= 17.17214305545393 keV\n", - "Running n20= 2.447092810191805 , T= 15.133234249397393 keV\n", - "Running n20= 1.9319153764672143 , T= 16.94559763255876 keV\n", - "Running n20= 1.3738064899322413 , T= 21.249960667567 keV\n", - "Running n20= 1.030354867449181 , T= 19.664142707300805 keV\n", - "Running n20= 2.18950409332951 , T= 16.039415940978078 keV\n", - "Running n20= 1.674326659604919 , T= 17.3986884783491 keV\n", - "Running n20= 2.447092810191805 , T= 15.359779672292564 keV\n", - "Running n20= 1.9319153764672143 , T= 17.17214305545393 keV\n", - "Running n20= 1.3738064899322413 , T= 21.47650609046217 keV\n", - "Running n20= 1.030354867449181 , T= 19.890688130195976 keV\n", - "Running n20= 2.18950409332951 , T= 16.265961363873245 keV\n", - "Running n20= 1.674326659604919 , T= 17.625233901244272 keV\n", - "Running n20= 2.447092810191805 , T= 15.586325095187735 keV\n", - "Running n20= 2.9622702439163953 , T= 15.359779672292564 keV\n", - "Running n20= 1.9319153764672143 , T= 17.3986884783491 keV\n", - "Running n20= 1.3738064899322413 , T= 21.703051513357337 keV\n", - "Running n20= 2.7046815270541 , T= 18.531415592824953 keV\n", - "Running n20= 1.030354867449181 , T= 20.117233553091147 keV\n", - "Running n20= 2.18950409332951 , T= 16.492506786768416 keV\n", - "Running n20= 1.674326659604919 , T= 17.851779324139443 keV\n", - "Running n20= 2.447092810191805 , T= 15.812870518082907 keV\n", - "Running n20= 2.9622702439163953 , T= 15.586325095187735 keV\n", - "Running n20= 2.7046815270541 , T= 18.757961015720124 keV\n", - "Running n20= 1.030354867449181 , T= 20.343778975986318 keV\n", - "Running n20= 2.18950409332951 , T= 16.719052209663587 keV\n", - "Running n20= 1.674326659604919 , T= 18.07832474703461 keV\n", - "Running n20= 2.447092810191805 , T= 16.039415940978078 keV\n", - "Running n20= 2.9622702439163953 , T= 15.812870518082907 keV\n", - "Running n20= 2.7046815270541 , T= 18.98450643861529 keV\n", - "Running n20= 1.9319153764672143 , T= 17.625233901244272 keV\n", - "Running n20= 1.030354867449181 , T= 20.57032439888149 keV\n", - "Running n20= 2.447092810191805 , T= 16.265961363873245 keV\n", - "Running n20= 1.674326659604919 , T= 18.30487016992978 keV\n", - "Running n20= 2.9622702439163953 , T= 16.039415940978078 keV\n", - "Running n20= 2.7046815270541 , T= 19.211051861510462 keV\n", - "Running n20= 1.3738064899322413 , T= 21.92959693625251 keV\n", - "Running n20= 1.9319153764672143 , T= 17.851779324139443 keV\n", - "Running n20= 1.030354867449181 , T= 20.796869821776657 keV\n", - "Running n20= 2.447092810191805 , T= 16.492506786768416 keV\n", - "Running n20= 1.674326659604919 , T= 18.531415592824953 keV\n", - "Running n20= 2.7046815270541 , T= 19.437597284405634 keV\n", - "Running n20= 1.3738064899322413 , T= 22.15614235914768 keV\n", - "Running n20= 2.9622702439163953 , T= 16.265961363873245 keV\n", - "Running n20= 1.030354867449181 , T= 21.023415244671828 keV\n", - "Running n20= 2.18950409332951 , T= 16.94559763255876 keV\n", - "Running n20= 2.447092810191805 , T= 16.719052209663587 keV\n", - "Running n20= 1.674326659604919 , T= 18.757961015720124 keV\n", - "Running n20= 2.7046815270541 , T= 19.664142707300805 keV\n", - "Running n20= 1.3738064899322413 , T= 22.38268778204285 keV\n", - "Running n20= 1.030354867449181 , T= 21.249960667567 keV\n", - "Running n20= 2.18950409332951 , T= 17.17214305545393 keV\n", - "Running n20= 2.447092810191805 , T= 16.94559763255876 keV\n", - "Running n20= 1.674326659604919 , T= 18.98450643861529 keV\n", - "Running n20= 2.7046815270541 , T= 19.890688130195976 keV\n", - "Running n20= 1.3738064899322413 , T= 22.609233204938022 keV\n", - "Running n20= 1.030354867449181 , T= 21.47650609046217 keV\n", - "Running n20= 2.18950409332951 , T= 17.3986884783491 keV\n", - "Running n20= 2.447092810191805 , T= 17.17214305545393 keV\n", - "Running n20= 1.674326659604919 , T= 19.211051861510462 keV\n", - "Running n20= 2.7046815270541 , T= 20.117233553091147 keV\n", - "Running n20= 1.3738064899322413 , T= 22.835778627833193 keV\n", - "Running n20= 1.9319153764672143 , T= 18.07832474703461 keV\n", - "Running n20= 2.9622702439163953 , T= 16.492506786768416 keV\n", - "Running n20= 1.030354867449181 , T= 21.703051513357337 keV\n", - "Running n20= 2.18950409332951 , T= 17.625233901244272 keV\n", - "Running n20= 2.447092810191805 , T= 17.3986884783491 keV\n", - "Running n20= 1.674326659604919 , T= 19.437597284405634 keV\n", - "Running n20= 2.7046815270541 , T= 20.343778975986318 keV\n", - "Running n20= 1.3738064899322413 , T= 23.062324050728364 keV\n", - "Running n20= 1.030354867449181 , T= 21.92959693625251 keV\n", - "Running n20= 2.18950409332951 , T= 17.851779324139443 keV\n", - "Running n20= 2.447092810191805 , T= 17.625233901244272 keV\n", - "Running n20= 1.3738064899322413 , T= 23.288869473623535 keV\n", - "Running n20= 1.674326659604919 , T= 19.664142707300805 keV\n", - "Running n20= 2.7046815270541 , T= 20.57032439888149 keV\n", - "Running n20= 2.9622702439163953 , T= 16.719052209663587 keV\n", - "Running n20= 1.030354867449181 , T= 22.15614235914768 keV\n", - "Running n20= 2.447092810191805 , T= 17.851779324139443 keV\n", - "Running n20= 1.3738064899322413 , T= 23.515414896518706 keV\n", - "Running n20= 1.674326659604919 , T= 19.890688130195976 keV\n", - "Running n20= 2.7046815270541 , T= 20.796869821776657 keV\n", - "Running n20= 2.9622702439163953 , T= 16.94559763255876 keV\n", - "Running n20= 1.030354867449181 , T= 22.38268778204285 keV\n", - "Running n20= 2.447092810191805 , T= 18.07832474703461 keV\n", - "Running n20= 1.3738064899322413 , T= 23.741960319413877 keV\n", - "Running n20= 1.674326659604919 , T= 20.117233553091147 keV\n", - "Running n20= 2.7046815270541 , T= 21.023415244671828 keV\n", - "Running n20= 2.9622702439163953 , T= 17.17214305545393 keV\n", - "Running n20= 1.030354867449181 , T= 22.609233204938022 keV\n", - "Running n20= 1.9319153764672143 , T= 18.30487016992978 keV\n", - "Running n20= 2.447092810191805 , T= 18.30487016992978 keV\n", - "Running n20= 2.18950409332951 , T= 18.07832474703461 keV\n", - "Running n20= 1.3738064899322413 , T= 23.968505742309045 keV\n", - "Running n20= 1.674326659604919 , T= 20.343778975986318 keV\n", - "Running n20= 2.7046815270541 , T= 21.249960667567 keV\n", - "Running n20= 2.9622702439163953 , T= 17.3986884783491 keV\n", - "Running n20= 1.030354867449181 , T= 22.835778627833193 keV\n", - "Running n20= 2.447092810191805 , T= 18.531415592824953 keV\n", - "Running n20= 1.3738064899322413 , T= 24.195051165204216 keV\n", - "Running n20= 1.674326659604919 , T= 20.57032439888149 keV\n", - "Running n20= 2.7046815270541 , T= 21.47650609046217 keV\n", - "Running n20= 2.9622702439163953 , T= 17.625233901244272 keV\n", - "Running n20= 1.030354867449181 , T= 23.062324050728364 keV\n", - "Running n20= 2.447092810191805 , T= 18.757961015720124 keV\n", - "Running n20= 1.3738064899322413 , T= 24.421596588099387 keV\n", - "Running n20= 1.674326659604919 , T= 20.796869821776657 keV\n", - "Running n20= 2.7046815270541 , T= 21.703051513357337 keV\n", - "Running n20= 2.9622702439163953 , T= 17.851779324139443 keV\n", - "Running n20= 1.030354867449181 , T= 23.288869473623535 keV\n", - "Running n20= 2.18950409332951 , T= 18.30487016992978 keV\n", - "Running n20= 2.447092810191805 , T= 18.98450643861529 keV\n", - "Running n20= 1.4167379427426239 , T= 13.32087086623603 keV\n", - "Running n20= 1.674326659604919 , T= 21.023415244671828 keV\n", - "Running n20= 2.9622702439163953 , T= 18.07832474703461 keV\n", - "Running n20= 1.030354867449181 , T= 23.515414896518706 keV\n", - "Running n20= 2.18950409332951 , T= 18.531415592824953 keV\n", - "Running n20= 1.9319153764672143 , T= 18.531415592824953 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4167379427426239 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.4167379427426239 , T= 13.5474162891312 keV\n", - "Running n20= 1.030354867449181 , T= 23.741960319413877 keV\n", - "Running n20= 2.9622702439163953 , T= 18.30487016992978 keV\n", - "Running n20= 1.674326659604919 , T= 21.249960667567 keV\n", - "Running n20= 2.18950409332951 , T= 18.757961015720124 keV\n", - "Running n20= 1.9319153764672143 , T= 18.757961015720124 keV\n", - "Running n20= 2.447092810191805 , T= 19.211051861510462 keV\n", - "Running n20= 2.7046815270541 , T= 21.92959693625251 keV\n", - "Running n20= 1.4167379427426239 , T= 13.77396171202637 keV\n", - "Running n20= 1.030354867449181 , T= 23.968505742309045 keV\n", - "Running n20= 1.674326659604919 , T= 21.47650609046217 keV\n", - "Running n20= 2.9622702439163953 , T= 18.531415592824953 keV\n", - "Running n20= 2.18950409332951 , T= 18.98450643861529 keV\n", - "Running n20= 1.9319153764672143 , T= 18.98450643861529 keV\n", - "Running n20= 1.4167379427426239 , T= 14.000507134921541 keV\n", - "Running n20= 1.030354867449181 , T= 24.195051165204216 keV\n", - "Running n20= 1.674326659604919 , T= 21.703051513357337 keV\n", - "Running n20= 2.9622702439163953 , T= 18.757961015720124 keV\n", - "Running n20= 2.18950409332951 , T= 19.211051861510462 keV\n", - "Running n20= 1.9319153764672143 , T= 19.211051861510462 keV\n", - "Running n20= 1.4167379427426239 , T= 14.227052557816712 keV\n", - "Running n20= 2.7046815270541 , T= 22.15614235914768 keV\n", - "Running n20= 2.447092810191805 , T= 19.437597284405634 keV\n", - "Running n20= 1.030354867449181 , T= 24.421596588099387 keV\n", - "Running n20= 1.674326659604919 , T= 21.92959693625251 keV\n", - "Running n20= 2.9622702439163953 , T= 18.98450643861529 keV\n", - "Running n20= 2.18950409332951 , T= 19.437597284405634 keV\n", - "Running n20= 1.9319153764672143 , T= 19.437597284405634 keV\n", - "Running n20= 1.4167379427426239 , T= 14.453597980711884 keV\n", - "Running n20= 1.0732863202595635 , T= 13.32087086623603 keV\n", - "Running n20= 1.674326659604919 , T= 22.15614235914768 keV\n", - "Running n20= 2.9622702439163953 , T= 19.211051861510462 keV\n", - "Running n20= 2.18950409332951 , T= 19.664142707300805 keV\n", - "Running n20= 1.9319153764672143 , T= 19.664142707300805 keV\n", - "Running n20= 2.447092810191805 , T= 19.664142707300805 keV\n", - "Running n20= 1.4167379427426239 , T= 14.680143403607053 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0732863202595635 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.0732863202595635 , T= 13.5474162891312 keV\n", - "Running n20= 1.674326659604919 , T= 22.38268778204285 keV\n", - "Running n20= 2.9622702439163953 , T= 19.437597284405634 keV\n", - "Running n20= 1.9319153764672143 , T= 19.890688130195976 keV\n", - "Running n20= 2.447092810191805 , T= 19.890688130195976 keV\n", - "Running n20= 2.7046815270541 , T= 22.38268778204285 keV\n", - "Running n20= 1.0732863202595635 , T= 13.77396171202637 keV\n", - "Running n20= 1.674326659604919 , T= 22.609233204938022 keV\n", - "Running n20= 2.18950409332951 , T= 19.890688130195976 keV\n", - "Running n20= 1.9319153764672143 , T= 20.117233553091147 keV\n", - "Running n20= 2.447092810191805 , T= 20.117233553091147 keV\n", - "Running n20= 2.7046815270541 , T= 22.609233204938022 keV\n", - "Running n20= 1.4167379427426239 , T= 14.906688826502224 keV\n", - "Running n20= 1.0732863202595635 , T= 14.000507134921541 keV\n", - "Running n20= 2.9622702439163953 , T= 19.664142707300805 keV\n", - "Running n20= 2.18950409332951 , T= 20.117233553091147 keV\n", - "Running n20= 2.7046815270541 , T= 22.835778627833193 keV\n", - "Running n20= 2.447092810191805 , T= 20.343778975986318 keV\n", - "Running n20= 1.9319153764672143 , T= 20.343778975986318 keV\n", - "Running n20= 2.9622702439163953 , T= 19.890688130195976 keV\n", - "Running n20= 1.674326659604919 , T= 22.835778627833193 keV\n", - "Running n20= 2.18950409332951 , T= 20.343778975986318 keV\n", - "Running n20= 2.7046815270541 , T= 23.062324050728364 keV\n", - "Running n20= 2.447092810191805 , T= 20.57032439888149 keV\n", - "Running n20= 1.9319153764672143 , T= 20.57032439888149 keV\n", - "Running n20= 2.9622702439163953 , T= 20.117233553091147 keV\n", - "Running n20= 1.674326659604919 , T= 23.062324050728364 keV\n", - "Running n20= 1.4167379427426239 , T= 15.133234249397393 keV\n", - "Running n20= 2.18950409332951 , T= 20.57032439888149 keV\n", - "Running n20= 2.7046815270541 , T= 23.288869473623535 keV\n", - "Running n20= 2.447092810191805 , T= 20.796869821776657 keV\n", - "Running n20= 1.9319153764672143 , T= 20.796869821776657 keV\n", - "Running n20= 2.9622702439163953 , T= 20.343778975986318 keV\n", - "Running n20= 1.674326659604919 , T= 23.288869473623535 keV\n", - "Running n20= 2.7046815270541 , T= 23.515414896518706 keV\n", - "Running n20= 2.18950409332951 , T= 20.796869821776657 keV\n", - "Running n20= 2.447092810191805 , T= 21.023415244671828 keV\n", - "Running n20= 1.9319153764672143 , T= 21.023415244671828 keV\n", - "Running n20= 1.0732863202595635 , T= 14.227052557816712 keV\n", - "Running n20= 2.9622702439163953 , T= 20.57032439888149 keV\n", - "Running n20= 1.674326659604919 , T= 23.515414896518706 keV\n", - "Running n20= 2.7046815270541 , T= 23.741960319413877 keV\n", - "Running n20= 2.18950409332951 , T= 21.023415244671828 keV\n", - "Running n20= 2.447092810191805 , T= 21.249960667567 keV\n", - "Running n20= 1.9319153764672143 , T= 21.249960667567 keV\n", - "Running n20= 2.9622702439163953 , T= 20.796869821776657 keV\n", - "Running n20= 1.674326659604919 , T= 23.741960319413877 keV\n", - "Running n20= 1.4167379427426239 , T= 15.359779672292564 keV\n", - "Running n20= 2.7046815270541 , T= 23.968505742309045 keV\n", - "Running n20= 2.447092810191805 , T= 21.47650609046217 keV\n", - "Running n20= 2.18950409332951 , T= 21.249960667567 keV\n", - "Running n20= 1.9319153764672143 , T= 21.47650609046217 keV\n", - "Running n20= 2.9622702439163953 , T= 21.023415244671828 keV\n", - "Running n20= 1.4167379427426239 , T= 15.586325095187735 keV\n", - "Running n20= 2.7046815270541 , T= 24.195051165204216 keV\n", - "Running n20= 2.447092810191805 , T= 21.703051513357337 keV\n", - "Running n20= 1.0732863202595635 , T= 14.453597980711884 keV\n", - "Running n20= 2.18950409332951 , T= 21.47650609046217 keV\n", - "Running n20= 1.9319153764672143 , T= 21.703051513357337 keV\n", - "Running n20= 2.9622702439163953 , T= 21.249960667567 keV\n", - "Running n20= 1.4167379427426239 , T= 15.812870518082907 keV\n", - "Running n20= 2.7046815270541 , T= 24.421596588099387 keV\n", - "Running n20= 2.447092810191805 , T= 21.92959693625251 keV\n", - "Running n20= 2.18950409332951 , T= 21.703051513357337 keV\n", - "Running n20= 1.9319153764672143 , T= 21.92959693625251 keV\n", - "Running n20= 2.9622702439163953 , T= 21.47650609046217 keV\n", - "Running n20= 1.674326659604919 , T= 23.968505742309045 keV\n", - "Running n20= 1.4167379427426239 , T= 16.039415940978078 keV\n", - "Running n20= 2.7476129798644826 , T= 13.32087086623603 keV\n", - "Running n20= 2.447092810191805 , T= 22.15614235914768 keV\n", - "Running n20= 2.18950409332951 , T= 21.92959693625251 keV\n", - "Running n20= 1.9319153764672143 , T= 22.15614235914768 keV\n", - "Running n20= 2.9622702439163953 , T= 21.703051513357337 keV\n", - "Running n20= 1.4167379427426239 , T= 16.265961363873245 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7476129798644826 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.7476129798644826 , T= 13.5474162891312 keV\n", - "Running n20= 2.447092810191805 , T= 22.38268778204285 keV\n", - "Running n20= 2.18950409332951 , T= 22.15614235914768 keV\n", - "Running n20= 1.9319153764672143 , T= 22.38268778204285 keV\n", - "Running n20= 2.9622702439163953 , T= 21.92959693625251 keV\n", - "Running n20= 1.4167379427426239 , T= 16.492506786768416 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.7476129798644826 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.7476129798644826 , T= 13.77396171202637 keV\n", - "Running n20= 1.0732863202595635 , T= 14.680143403607053 keV\n", - "Running n20= 2.447092810191805 , T= 22.609233204938022 keV\n", - "Running n20= 1.674326659604919 , T= 24.195051165204216 keV\n", - "Running n20= 2.18950409332951 , T= 22.38268778204285 keV\n", - "Running n20= 2.9622702439163953 , T= 22.15614235914768 keV\n", - "Running n20= 1.9319153764672143 , T= 22.609233204938022 keV\n", - "Running n20= 1.4167379427426239 , T= 16.719052209663587 keV\n", - "Running n20= 2.7476129798644826 , T= 14.000507134921541 keV\n", - "Running n20= 1.0732863202595635 , T= 14.906688826502224 keV\n", - "Running n20= 1.674326659604919 , T= 24.421596588099387 keV\n", - "Running n20= 2.9622702439163953 , T= 22.38268778204285 keV\n", - "Running n20= 1.9319153764672143 , T= 22.835778627833193 keV\n", - "Running n20= 1.4167379427426239 , T= 16.94559763255876 keV\n", - "Running n20= 1.0732863202595635 , T= 15.133234249397393 keV\n", - "Running n20= 2.447092810191805 , T= 22.835778627833193 keV\n", - "Running n20= 1.7172581124153017 , T= 13.32087086623603 keV\n", - "Running n20= 2.9622702439163953 , T= 22.609233204938022 keV\n", - "Running n20= 1.9319153764672143 , T= 23.062324050728364 keV\n", - "Running n20= 2.18950409332951 , T= 22.609233204938022 keV\n", - "Running n20= 1.4167379427426239 , T= 17.17214305545393 keV\n", - "Running n20= 2.7476129798644826 , T= 14.227052557816712 keV\n", - "Running n20= 1.0732863202595635 , T= 15.359779672292564 keV\n", - "Running n20= 2.447092810191805 , T= 23.062324050728364 keV\n", - "Running n20= 2.9622702439163953 , T= 22.835778627833193 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.7172581124153017 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.7172581124153017 , T= 13.5474162891312 keV\n", - "Running n20= 1.9319153764672143 , T= 23.288869473623535 keV\n", - "Running n20= 1.4167379427426239 , T= 17.3986884783491 keV\n", - "Running n20= 2.447092810191805 , T= 23.288869473623535 keV\n", - "Running n20= 1.0732863202595635 , T= 15.586325095187735 keV\n", - "Running n20= 2.9622702439163953 , T= 23.062324050728364 keV\n", - "Running n20= 1.7172581124153017 , T= 13.77396171202637 keV\n", - "Running n20= 1.9319153764672143 , T= 23.515414896518706 keV\n", - "Running n20= 1.4167379427426239 , T= 17.625233901244272 keV\n", - "Running n20= 2.447092810191805 , T= 23.515414896518706 keV\n", - "Running n20= 1.0732863202595635 , T= 15.812870518082907 keV\n", - "Running n20= 2.9622702439163953 , T= 23.288869473623535 keV\n", - "Running n20= 1.7172581124153017 , T= 14.000507134921541 keV\n", - "Running n20= 1.9319153764672143 , T= 23.741960319413877 keV\n", - "Running n20= 2.7476129798644826 , T= 14.453597980711884 keV\n", - "Running n20= 1.4167379427426239 , T= 17.851779324139443 keV\n", - "Running n20= 2.447092810191805 , T= 23.741960319413877 keV\n", - "Running n20= 1.0732863202595635 , T= 16.039415940978078 keV\n", - "Running n20= 2.9622702439163953 , T= 23.515414896518706 keV\n", - "Running n20= 1.7172581124153017 , T= 14.227052557816712 keV\n", - "Running n20= 2.18950409332951 , T= 22.835778627833193 keV\n", - "Running n20= 1.9319153764672143 , T= 23.968505742309045 keV\n", - "Running n20= 1.4167379427426239 , T= 18.07832474703461 keV\n", - "Running n20= 2.447092810191805 , T= 23.968505742309045 keV\n", - "Running n20= 1.0732863202595635 , T= 16.265961363873245 keV\n", - "Running n20= 2.7476129798644826 , T= 14.680143403607053 keV\n", - "Running n20= 2.9622702439163953 , T= 23.741960319413877 keV\n", - "Running n20= 1.7172581124153017 , T= 14.453597980711884 keV\n", - "Running n20= 1.4167379427426239 , T= 18.30487016992978 keV\n", - "Running n20= 2.447092810191805 , T= 24.195051165204216 keV\n", - "Running n20= 2.9622702439163953 , T= 23.968505742309045 keV\n", - "Running n20= 1.0732863202595635 , T= 16.492506786768416 keV\n", - "Running n20= 2.18950409332951 , T= 23.062324050728364 keV\n", - "Running n20= 1.7172581124153017 , T= 14.680143403607053 keV\n", - "Running n20= 1.4167379427426239 , T= 18.531415592824953 keV\n", - "Running n20= 1.9319153764672143 , T= 24.195051165204216 keV\n", - "Running n20= 2.447092810191805 , T= 24.421596588099387 keV\n", - "Running n20= 2.7476129798644826 , T= 14.906688826502224 keV\n", - "Running n20= 2.9622702439163953 , T= 24.195051165204216 keV\n", - "Running n20= 1.0732863202595635 , T= 16.719052209663587 keV\n", - "Running n20= 2.18950409332951 , T= 23.288869473623535 keV\n", - "Running n20= 1.7172581124153017 , T= 14.906688826502224 keV\n", - "Running n20= 1.4167379427426239 , T= 18.757961015720124 keV\n", - "Running n20= 2.490024263002187 , T= 13.32087086623603 keV\n", - "Running n20= 2.7476129798644826 , T= 15.133234249397393 keV\n", - "Running n20= 1.0732863202595635 , T= 16.94559763255876 keV\n", - "Running n20= 2.18950409332951 , T= 23.515414896518706 keV\n", - "Running n20= 1.7172581124153017 , T= 15.133234249397393 keV\n", - "Running n20= 1.4167379427426239 , T= 18.98450643861529 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.490024263002187 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.490024263002187 , T= 13.5474162891312 keV\n", - "Running n20= 2.7476129798644826 , T= 15.359779672292564 keV\n", - "Running n20= 2.18950409332951 , T= 23.741960319413877 keV\n", - "Running n20= 1.0732863202595635 , T= 17.17214305545393 keV\n", - "Running n20= 1.7172581124153017 , T= 15.359779672292564 keV\n", - "Running n20= 2.9622702439163953 , T= 24.421596588099387 keV\n", - "Running n20= 1.4167379427426239 , T= 19.211051861510462 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.490024263002187 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.490024263002187 , T= 13.77396171202637 keV\n", - "Running n20= 2.7476129798644826 , T= 15.586325095187735 keV\n", - "Running n20= 1.9319153764672143 , T= 24.421596588099387 keV\n", - "Running n20= 2.18950409332951 , T= 23.968505742309045 keV\n", - "Running n20= 1.0732863202595635 , T= 17.3986884783491 keV\n", - "Running n20= 1.7172581124153017 , T= 15.586325095187735 keV\n", - "Running n20= 3.005201696726778 , T= 13.32087086623603 keV\n", - "Running n20= 2.7476129798644826 , T= 15.812870518082907 keV\n", - "Running n20= 1.974846829277597 , T= 13.32087086623603 keV\n", - "Running n20= 2.18950409332951 , T= 24.195051165204216 keV\n", - "Running n20= 1.0732863202595635 , T= 17.625233901244272 keV\n", - "Running n20= 1.7172581124153017 , T= 15.812870518082907 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.005201696726778 T= 13.32087086623603 is not physical.\n", - "Running n20= 3.005201696726778 , T= 13.5474162891312 keV\n", - "Running n20= 2.7476129798644826 , T= 16.039415940978078 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.974846829277597 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.974846829277597 , T= 13.5474162891312 keV\n", - "Running n20= 2.18950409332951 , T= 24.421596588099387 keV\n", - "Running n20= 1.0732863202595635 , T= 17.851779324139443 keV\n", - "Running n20= 1.7172581124153017 , T= 16.039415940978078 keV\n", - "Running n20= 1.4167379427426239 , T= 19.437597284405634 keV\n", - "Running n20= 2.490024263002187 , T= 14.000507134921541 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.005201696726778 T= 13.5474162891312 is not physical.\n", - "Running n20= 3.005201696726778 , T= 13.77396171202637 keV\n", - "Running n20= 2.7476129798644826 , T= 16.265961363873245 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.974846829277597 T= 13.5474162891312 is not physical.\n", - "Running n20= 1.974846829277597 , T= 13.77396171202637 keV\n", - "Running n20= 2.232435546139892 , T= 13.32087086623603 keV\n", - "Running n20= 1.0732863202595635 , T= 18.07832474703461 keV\n", - "Running n20= 1.4167379427426239 , T= 19.664142707300805 keV\n", - "Running n20= 3.005201696726778 , T= 14.000507134921541 keV\n", - "Running n20= 2.7476129798644826 , T= 16.492506786768416 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.232435546139892 T= 13.32087086623603 is not physical.\n", - "Running n20= 2.232435546139892 , T= 13.5474162891312 keV\n", - "Running n20= 1.974846829277597 , T= 14.000507134921541 keV\n", - "Running n20= 1.0732863202595635 , T= 18.30487016992978 keV\n", - "Running n20= 1.4167379427426239 , T= 19.890688130195976 keV\n", - "Running n20= 1.7172581124153017 , T= 16.265961363873245 keV\n", - "Running n20= 3.005201696726778 , T= 14.227052557816712 keV\n", - "Running n20= 2.7476129798644826 , T= 16.719052209663587 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.232435546139892 T= 13.5474162891312 is not physical.\n", - "Running n20= 2.232435546139892 , T= 13.77396171202637 keV\n", - "Running n20= 1.0732863202595635 , T= 18.531415592824953 keV\n", - "Running n20= 1.4167379427426239 , T= 20.117233553091147 keV\n", - "Running n20= 1.7172581124153017 , T= 16.492506786768416 keV\n", - "Running n20= 2.490024263002187 , T= 14.227052557816712 keV\n", - "Running n20= 3.005201696726778 , T= 14.453597980711884 keV\n", - "Running n20= 2.7476129798644826 , T= 16.94559763255876 keV\n", - "Running n20= 2.232435546139892 , T= 14.000507134921541 keV\n", - "Running n20= 1.974846829277597 , T= 14.227052557816712 keV\n", - "Running n20= 1.0732863202595635 , T= 18.757961015720124 keV\n", - "Running n20= 1.4167379427426239 , T= 20.343778975986318 keV\n", - "Running n20= 1.7172581124153017 , T= 16.719052209663587 keV\n", - "Running n20= 2.7476129798644826 , T= 17.17214305545393 keV\n", - "Running n20= 2.232435546139892 , T= 14.227052557816712 keV\n", - "Running n20= 1.974846829277597 , T= 14.453597980711884 keV\n", - "Running n20= 1.0732863202595635 , T= 18.98450643861529 keV\n", - "Running n20= 1.4167379427426239 , T= 20.57032439888149 keV\n", - "Running n20= 1.7172581124153017 , T= 16.94559763255876 keV\n", - "Running n20= 2.7476129798644826 , T= 17.3986884783491 keV\n", - "Running n20= 2.232435546139892 , T= 14.453597980711884 keV\n", - "Running n20= 1.974846829277597 , T= 14.680143403607053 keV\n", - "Running n20= 1.0732863202595635 , T= 19.211051861510462 keV\n", - "Running n20= 3.005201696726778 , T= 14.680143403607053 keV\n", - "Running n20= 2.490024263002187 , T= 14.453597980711884 keV\n", - "Running n20= 1.4167379427426239 , T= 20.796869821776657 keV\n", - "Running n20= 1.7172581124153017 , T= 17.17214305545393 keV\n", - "Running n20= 2.7476129798644826 , T= 17.625233901244272 keV\n", - "Running n20= 2.232435546139892 , T= 14.680143403607053 keV\n", - "Running n20= 1.974846829277597 , T= 14.906688826502224 keV\n", - "Running n20= 1.4167379427426239 , T= 21.023415244671828 keV\n", - "Running n20= 2.490024263002187 , T= 14.680143403607053 keV\n", - "Running n20= 1.7172581124153017 , T= 17.3986884783491 keV\n", - "Running n20= 3.005201696726778 , T= 14.906688826502224 keV\n", - "Running n20= 2.7476129798644826 , T= 17.851779324139443 keV\n", - "Running n20= 1.0732863202595635 , T= 19.437597284405634 keV\n", - "Running n20= 1.974846829277597 , T= 15.133234249397393 keV\n", - "Running n20= 1.4167379427426239 , T= 21.249960667567 keV\n", - "Running n20= 2.490024263002187 , T= 14.906688826502224 keV\n", - "Running n20= 1.7172581124153017 , T= 17.625233901244272 keV\n", - "Running n20= 3.005201696726778 , T= 15.133234249397393 keV\n", - "Running n20= 2.7476129798644826 , T= 18.07832474703461 keV\n", - "Running n20= 1.974846829277597 , T= 15.359779672292564 keV\n", - "Running n20= 1.0732863202595635 , T= 19.664142707300805 keV\n", - "Running n20= 1.4167379427426239 , T= 21.47650609046217 keV\n", - "Running n20= 2.490024263002187 , T= 15.133234249397393 keV\n", - "Running n20= 3.005201696726778 , T= 15.359779672292564 keV\n", - "Running n20= 2.7476129798644826 , T= 18.30487016992978 keV\n", - "Running n20= 1.974846829277597 , T= 15.586325095187735 keV\n", - "Running n20= 1.0732863202595635 , T= 19.890688130195976 keV\n", - "Running n20= 1.4167379427426239 , T= 21.703051513357337 keV\n", - "Running n20= 2.490024263002187 , T= 15.359779672292564 keV\n", - "Running n20= 3.005201696726778 , T= 15.586325095187735 keV\n", - "Running n20= 2.7476129798644826 , T= 18.531415592824953 keV\n", - "Running n20= 1.974846829277597 , T= 15.812870518082907 keV\n", - "Running n20= 2.232435546139892 , T= 14.906688826502224 keV\n", - "Running n20= 1.0732863202595635 , T= 20.117233553091147 keV\n", - "Running n20= 1.4167379427426239 , T= 21.92959693625251 keV\n", - "Running n20= 1.7172581124153017 , T= 17.851779324139443 keV\n", - "Running n20= 2.490024263002187 , T= 15.586325095187735 keV\n", - "Running n20= 3.005201696726778 , T= 15.812870518082907 keV\n", - "Running n20= 2.7476129798644826 , T= 18.757961015720124 keV\n", - "Running n20= 1.974846829277597 , T= 16.039415940978078 keV\n", - "Running n20= 1.0732863202595635 , T= 20.343778975986318 keV\n", - "Running n20= 2.232435546139892 , T= 15.133234249397393 keV\n", - "Running n20= 1.4167379427426239 , T= 22.15614235914768 keV\n", - "Running n20= 1.7172581124153017 , T= 18.07832474703461 keV\n", - "Running n20= 2.7476129798644826 , T= 18.98450643861529 keV\n", - "Running n20= 1.974846829277597 , T= 16.265961363873245 keV\n", - "Running n20= 1.0732863202595635 , T= 20.57032439888149 keV\n", - "Running n20= 2.232435546139892 , T= 15.359779672292564 keV\n", - "Running n20= 1.4167379427426239 , T= 22.38268778204285 keV\n", - "Running n20= 1.7172581124153017 , T= 18.30487016992978 keV\n", - "Running n20= 2.7476129798644826 , T= 19.211051861510462 keV\n", - "Running n20= 2.490024263002187 , T= 15.812870518082907 keV\n", - "Running n20= 3.005201696726778 , T= 16.039415940978078 keV\n", - "Running n20= 1.0732863202595635 , T= 20.796869821776657 keV\n", - "Running n20= 2.232435546139892 , T= 15.586325095187735 keV\n", - "Running n20= 1.7172581124153017 , T= 18.531415592824953 keV\n", - "Running n20= 1.4167379427426239 , T= 22.609233204938022 keV\n", - "Running n20=Running n20= 2.490024263002187 , T= 16.039415940978078 keV\n", - "Running n20= 2.232435546139892 , T= 15.812870518082907 keV\n", - "Running n20= 1.7172581124153017 , T= 18.757961015720124 keV\n", - "Running n20= 1.0732863202595635 , T= 21.023415244671828 keV\n", - "Running n20= 3.005201696726778 , T= 16.265961363873245 keV\n", - "Running n20= 1.974846829277597 , T= 16.492506786768416 keV\n", - " 2.7476129798644826 , T= 19.437597284405634 keV\n", - "Running n20= 1.4167379427426239 , T= 22.835778627833193 keV\n", - "Running n20= 2.232435546139892 , T= 16.039415940978078 keV\n", - "Running n20= 1.0732863202595635 , T= 21.249960667567 keV\n", - "Running n20= 3.005201696726778 , T= 16.492506786768416 keV\n", - "Running n20= 1.974846829277597 , T= 16.719052209663587 keV\n", - "Running n20= 2.7476129798644826 , T= 19.664142707300805 keV\n", - "Running n20= 2.490024263002187 , T= 16.265961363873245 keV\n", - "Running n20= 1.4167379427426239 , T= 23.062324050728364 keV\n", - "Running n20= 1.7172581124153017 , T= 18.98450643861529 keV\n", - "Running n20= 2.232435546139892 , T= 16.265961363873245 keV\n", - "Running n20= 3.005201696726778 , T= 16.719052209663587 keV\n", - "Running n20= 1.0732863202595635 , T= 21.47650609046217 keV\n", - "Running n20= 2.7476129798644826 , T= 19.890688130195976 keV\n", - "Running n20= 1.974846829277597 , T= 16.94559763255876 keV\n", - "Running n20= 2.490024263002187 , T= 16.492506786768416 keV\n", - "Running n20= 1.4167379427426239 , T= 23.288869473623535 keV\n", - "Running n20= 1.974846829277597 , T= 17.17214305545393 keV\n", - "Running n20= 3.005201696726778 , T= 16.94559763255876 keV\n", - "Running n20= 2.7476129798644826 , T= 20.117233553091147 keV\n", - "Running n20= 1.7172581124153017 , T= 19.211051861510462 keV\n", - "Running n20= 2.490024263002187 , T= 16.719052209663587 keV\n", - "Running n20= 2.232435546139892 , T= 16.492506786768416 keV\n", - "Running n20= 1.0732863202595635 , T= 21.703051513357337 keV\n", - "Running n20= 1.974846829277597 , T= 17.3986884783491 keV\n", - "Running n20= 2.490024263002187 , T= 16.94559763255876 keV\n", - "Running n20= 3.005201696726778 , T= 17.17214305545393 keV\n", - "Running n20= 2.232435546139892 , T= 16.719052209663587 keV\n", - "Running n20= 1.7172581124153017 , T= 19.437597284405634 keV\n", - "Running n20= 2.7476129798644826 , T= 20.343778975986318 keV\n", - "Running n20= 1.0732863202595635 , T= 21.92959693625251 keV\n", - "Running n20= 1.974846829277597 , T= 17.625233901244272 keV\n", - "Running n20= 2.490024263002187 , T= 17.17214305545393 keV\n", - "Running n20= 1.4167379427426239 , T= 23.515414896518706 keV\n", - "Running n20= 3.005201696726778 , T= 17.3986884783491 keV\n", - "Running n20= 2.232435546139892 , T= 16.94559763255876 keV\n", - "Running n20= 1.7172581124153017 , T= 19.664142707300805 keV\n", - "Running n20= 1.0732863202595635 , T= 22.15614235914768 keV\n", - "Running n20= 1.974846829277597 , T= 17.851779324139443 keV\n", - "Running n20= 2.490024263002187 , T= 17.3986884783491 keV\n", - "Running n20= 3.005201696726778 , T= 17.625233901244272 keV\n", - "Running n20= 2.232435546139892 , T= 17.17214305545393 keV\n", - "Running n20= 1.7172581124153017 , T= 19.890688130195976 keV\n", - "Running n20= 1.974846829277597 , T= 18.07832474703461 keV\n", - "Running n20= 1.0732863202595635 , T= 22.38268778204285 keV\n", - "Running n20= 2.490024263002187 , T= 17.625233901244272 keV\n", - "Running n20= 2.7476129798644826 , T= 20.57032439888149 keV\n", - "Running n20= 3.005201696726778 , T= 17.851779324139443 keV\n", - "Running n20= 2.232435546139892 , T= 17.3986884783491 keV\n", - "Running n20= 1.7172581124153017 , T= 20.117233553091147 keV\n", - "Running n20= 1.974846829277597 , T= 18.30487016992978 keV\n", - "Running n20= 1.4167379427426239 , T= 23.741960319413877 keV\n", - "Running n20= 2.490024263002187 , T= 17.851779324139443 keV\n", - "Running n20= 3.005201696726778 , T= 18.07832474703461 keV\n", - "Running n20= 1.0732863202595635 , T= 22.609233204938022 keV\n", - "Running n20= 2.232435546139892 , T= 17.625233901244272 keV\n", - "Running n20= 1.7172581124153017 , T= 20.343778975986318 keV\n", - "Running n20= 1.974846829277597 , T= 18.531415592824953 keV\n", - "Running n20= 1.4167379427426239 , T= 23.968505742309045 keV\n", - "Running n20= 2.490024263002187 , T= 18.07832474703461 keV\n", - "Running n20= 3.005201696726778 , T= 18.30487016992978 keV\n", - "Running n20= 2.232435546139892 , T= 17.851779324139443 keV\n", - "Running n20= 1.7172581124153017 , T= 20.57032439888149 keV\n", - "Running n20= 1.974846829277597 , T= 18.757961015720124 keV\n", - "Running n20= 1.4167379427426239 , T= 24.195051165204216 keV\n", - "Running n20= 2.490024263002187 , T= 18.30487016992978 keV\n", - "Running n20= 3.005201696726778 , T= 18.531415592824953 keV\n", - "Running n20= 2.7476129798644826 , T= 20.796869821776657 keV\n", - "Running n20= 2.232435546139892 , T= 18.07832474703461 keV\n", - "Running n20= 1.7172581124153017 , T= 20.796869821776657 keV\n", - "Running n20= 1.974846829277597 , T= 18.98450643861529 keV\n", - "Running n20= 2.490024263002187 , T= 18.531415592824953 keV\n", - "Running n20= 1.4167379427426239 , T= 24.421596588099387 keV\n", - "Running n20= 1.0732863202595635 , T= 22.835778627833193 keV\n", - "Running n20= 2.232435546139892 , T= 18.30487016992978 keV\n", - "Running n20= 1.974846829277597 , T= 19.211051861510462 keV\n", - "Running n20= 2.490024263002187 , T= 18.757961015720124 keV\n", - "Running n20= 1.4596693955530065 , T= 13.32087086623603 keV\n", - "Running n20= 2.7476129798644826 , T= 21.023415244671828 keV\n", - "Running n20= 1.0732863202595635 , T= 23.062324050728364 keV\n", - "Running n20= 1.974846829277597 , T= 19.437597284405634 keV\n", - "Running n20= 1.7172581124153017 , T= 21.023415244671828 keV\n", - "Running n20= 3.005201696726778 , T= 18.757961015720124 keV\n", - "Running n20= 2.490024263002187 , T= 18.98450643861529 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4596693955530065 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.4596693955530065 , T= 13.5474162891312 keV\n", - "Running n20= 1.0732863202595635 , T= 23.288869473623535 keV\n", - "Running n20= 1.974846829277597 , T= 19.664142707300805 keV\n", - "Running n20= 3.005201696726778 , T= 18.98450643861529 keV\n", - "Running n20= 2.490024263002187 , T= 19.211051861510462 keV\n", - "Running n20= 1.0732863202595635 , T= 23.515414896518706 keV\n", - "Running n20= 1.974846829277597 , T= 19.890688130195976 keV\n", - "Running n20= 1.4596693955530065 , T= 13.77396171202637 keV\n", - "Running n20= 2.490024263002187 , T= 19.437597284405634 keV\n", - "Running n20= 3.005201696726778 , T= 19.211051861510462 keV\n", - "Running n20= 1.0732863202595635 , T= 23.741960319413877 keV\n", - "Running n20= 1.974846829277597 , T= 20.117233553091147 keV\n", - "Running n20= 1.4596693955530065 , T= 14.000507134921541 keV\n", - "Running n20= 2.232435546139892 , T= 18.531415592824953 keV\n", - "Running n20= 1.7172581124153017 , T= 21.249960667567 keV\n", - "Running n20= 2.490024263002187 , T= 19.664142707300805 keV\n", - "Running n20= 1.974846829277597 , T= 20.343778975986318 keV\n", - "Running n20= 1.0732863202595635 , T= 23.968505742309045 keV\n", - "Running n20= 3.005201696726778 , T= 19.437597284405634 keV\n", - "Running n20= 1.4596693955530065 , T= 14.227052557816712 keV\n", - "Running n20= 2.232435546139892 , T= 18.757961015720124 keV\n", - "Running n20= 2.490024263002187 , T= 19.890688130195976 keV\n", - "Running n20= 1.974846829277597 , T= 20.57032439888149 keV\n", - "Running n20= 1.0732863202595635 , T= 24.195051165204216 keV\n", - "Running n20= 2.7476129798644826 , T= 21.249960667567 keV\n", - "Running n20= 1.4596693955530065 , T= 14.453597980711884 keV\n", - "Running n20= 1.0732863202595635 , T= 24.421596588099387 keV\n", - "Running n20= 2.490024263002187 , T= 20.117233553091147 keV\n", - "Running n20= 2.232435546139892 , T= 18.98450643861529 keV\n", - "Running n20= 3.005201696726778 , T= 19.664142707300805 keV\n", - "Running n20= 1.7172581124153017 , T= 21.47650609046217 keV\n", - "Running n20= 2.7476129798644826 , T= 21.47650609046217 keV\n", - "Running n20= 1.116217773069946 , T= 13.32087086623603 keV\n", - "Running n20= 2.232435546139892 , T= 19.211051861510462 keV\n", - "Running n20= 3.005201696726778 , T= 19.890688130195976 keV\n", - "Running n20= 2.7476129798644826 , T= 21.703051513357337 keV\n", - "Running n20= 1.7172581124153017 , T= 21.703051513357337 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.116217773069946 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.116217773069946 , T= 13.5474162891312 keV\n", - "Running n20= 1.974846829277597 , T= 20.796869821776657 keV\n", - "Running n20= 3.005201696726778 , T= 20.117233553091147 keV\n", - "Running n20= 2.232435546139892 , T= 19.437597284405634 keV\n", - "Running n20= 2.7476129798644826 , T= 21.92959693625251 keV\n", - "Running n20= 1.7172581124153017 , T= 21.92959693625251 keV\n", - "Running n20= 1.4596693955530065 , T= 14.680143403607053 keV\n", - "Running n20= 1.116217773069946 , T= 13.77396171202637 keV\n", - "Running n20= 2.7476129798644826 , T= 22.15614235914768 keV\n", - "Running n20= 3.005201696726778 , T= 20.343778975986318 keV\n", - "Running n20= 1.7172581124153017 , T= 22.15614235914768 keV\n", - "Running n20= 1.4596693955530065 , T= 14.906688826502224 keV\n", - "Running n20= 2.490024263002187 , T= 20.343778975986318 keV\n", - "Running n20= 2.232435546139892 , T= 19.664142707300805 keV\n", - "Running n20= 3.005201696726778 , T= 20.57032439888149 keV\n", - "Running n20= 1.974846829277597 , T= 21.023415244671828 keV\n", - "Running n20= 2.7476129798644826 , T= 22.38268778204285 keV\n", - "Running n20= 1.4596693955530065 , T= 15.133234249397393 keV\n", - "Running n20= 2.490024263002187 , T= 20.57032439888149 keV\n", - "Running n20= 1.116217773069946 , T= 14.000507134921541 keV\n", - "Running n20= 2.232435546139892 , T= 19.890688130195976 keV\n", - "Running n20= 3.005201696726778 , T= 20.796869821776657 keV\n", - "Running n20= 1.4596693955530065 , T= 15.359779672292564 keV\n", - "Running n20= 2.490024263002187 , T= 20.796869821776657 keV\n", - "Running n20= 1.116217773069946 , T= 14.227052557816712 keV\n", - "Running n20= 3.005201696726778 , T= 21.023415244671828 keV\n", - "Running n20= 1.4596693955530065 , T= 15.586325095187735 keV\n", - "Running n20= 2.7476129798644826 , T= 22.609233204938022 keV\n", - "Running n20= 2.490024263002187 , T= 21.023415244671828 keV\n", - "Running n20= 1.116217773069946 , T= 14.453597980711884 keV\n", - "Running n20= 3.005201696726778 , T= 21.249960667567 keV\n", - "Running n20= 1.4596693955530065 , T= 15.812870518082907 keV\n", - "Running n20= 1.7172581124153017 , T= 22.38268778204285 keV\n", - "Running n20= 2.490024263002187 , T= 21.249960667567 keV\n", - "Running n20= 1.974846829277597 , T= 21.249960667567 keV\n", - "Running n20= 2.7476129798644826 , T= 22.835778627833193 keV\n", - "Running n20= 1.116217773069946 , T= 14.680143403607053 keV\n", - "Running n20= 3.005201696726778 , T= 21.47650609046217 keV\n", - "Running n20= 1.4596693955530065 , T= 16.039415940978078 keV\n", - "Running n20= 2.490024263002187 , T= 21.47650609046217 keV\n", - "Running n20= 1.974846829277597 , T= 21.47650609046217 keV\n", - "Running n20= 2.7476129798644826 , T= 23.062324050728364 keV\n", - "Running n20= 1.116217773069946 , T= 14.906688826502224 keV\n", - "Running n20= 3.005201696726778 , T= 21.703051513357337 keV\n", - "Running n20= 2.232435546139892 , T= 20.117233553091147 keV\n", - "Running n20= 2.490024263002187 , T= 21.703051513357337 keV\n", - "Running n20= 1.974846829277597 , T= 21.703051513357337 keV\n", - "Running n20= 2.7476129798644826 , T= 23.288869473623535 keV\n", - "Running n20= 1.116217773069946 , T= 15.133234249397393 keV\n", - "Running n20= 3.005201696726778 , T= 21.92959693625251 keV\n", - "Running n20= 1.4596693955530065 , T= 16.265961363873245 keV\n", - "Running n20= 2.232435546139892 , T= 20.343778975986318 keV\n", - "Running n20= 2.490024263002187 , T= 21.92959693625251 keV\n", - "Running n20= 1.974846829277597 , T= 21.92959693625251 keV\n", - "Running n20= 1.7172581124153017 , T= 22.609233204938022 keV\n", - "Running n20= 2.7476129798644826 , T= 23.515414896518706 keV\n", - "Running n20= 1.116217773069946 , T= 15.359779672292564 keV\n", - "Running n20= 3.005201696726778 , T= 22.15614235914768 keV\n", - "Running n20= 2.490024263002187 , T= 22.15614235914768 keV\n", - "Running n20= 2.232435546139892 , T= 20.57032439888149 keV\n", - "Running n20= 1.974846829277597 , T= 22.15614235914768 keV\n", - "Running n20= 2.7476129798644826 , T= 23.741960319413877 keV\n", - "Running n20= 1.116217773069946 , T= 15.586325095187735 keV\n", - "Running n20= 3.005201696726778 , T= 22.38268778204285 keV\n", - "Running n20= 2.490024263002187 , T= 22.38268778204285 keV\n", - "Running n20= 2.232435546139892 , T= 20.796869821776657 keV\n", - "Running n20= 1.974846829277597 , T= 22.38268778204285 keV\n", - "Running n20= 1.4596693955530065 , T= 16.492506786768416 keV\n", - "Running n20= 2.7476129798644826 , T= 23.968505742309045 keV\n", - "Running n20= 1.116217773069946 , T= 15.812870518082907 keV\n", - "Running n20= 3.005201696726778 , T= 22.609233204938022 keV\n", - "Running n20= 2.490024263002187 , T= 22.609233204938022 keV\n", - "Running n20= 1.7172581124153017 , T= 22.835778627833193 keV\n", - "Running n20= 2.232435546139892 , T= 21.023415244671828 keV\n", - "Running n20= 1.974846829277597 , T= 22.609233204938022 keV\n", - "Running n20= 2.7476129798644826 , T= 24.195051165204216 keV\n", - "Running n20= 1.116217773069946 , T= 16.039415940978078 keV\n", - "Running n20= 3.005201696726778 , T= 22.835778627833193 keV\n", - "Running n20= 2.490024263002187 , T= 22.835778627833193 keV\n", - "Running n20= 2.232435546139892 , T= 21.249960667567 keV\n", - "Running n20= 1.974846829277597 , T= 22.835778627833193 keV\n", - "Running n20= 2.7476129798644826 , T= 24.421596588099387 keV\n", - "Running n20= 1.116217773069946 , T= 16.265961363873245 keV\n", - "Running n20= 3.005201696726778 , T= 23.062324050728364 keV\n", - "Running n20= 2.490024263002187 , T= 23.062324050728364 keV\n", - "Running n20= 1.4596693955530065 , T= 16.719052209663587 keV\n", - "Running n20= 2.232435546139892 , T= 21.47650609046217 keV\n", - "Running n20= 1.974846829277597 , T= 23.062324050728364 keV\n", - "Running n20= 1.7172581124153017 , T= 23.062324050728364 keV\n", - "Running n20= 1.116217773069946 , T= 16.492506786768416 keV\n", - "Running n20= 2.490024263002187 , T= 23.288869473623535 keV\n", - "Running n20= 3.005201696726778 , T= 23.288869473623535 keV\n", - "Running n20= 2.232435546139892 , T= 21.703051513357337 keV\n", - "Running n20= 1.974846829277597 , T= 23.288869473623535 keV\n", - "Running n20= 1.116217773069946 , T= 16.719052209663587 keV\n", - "Running n20= 2.232435546139892 , T= 21.92959693625251 keV\n", - "Running n20= 1.7172581124153017 , T= 23.288869473623535 keV\n", - "Running n20= 3.005201696726778 , T= 23.515414896518706 keV\n", - "Running n20= 1.4596693955530065 , T= 16.94559763255876 keV\n", - "Running n20= 2.490024263002187 , T= 23.515414896518706 keV\n", - "Running n20= 1.974846829277597 , T= 23.515414896518706 keV\n", - "Running n20= 2.232435546139892 , T= 22.15614235914768 keV\n", - "Running n20= 1.7172581124153017 , T= 23.515414896518706 keV\n", - "Running n20= 3.005201696726778 , T= 23.741960319413877 keV\n", - "Running n20= 2.490024263002187 , T= 23.741960319413877 keV\n", - "Running n20= 1.4596693955530065 , T= 17.17214305545393 keV\n", - "Running n20= 1.974846829277597 , T= 23.741960319413877 keV\n", - "Running n20= 2.232435546139892 , T= 22.38268778204285 keV\n", - "Running n20= 1.7172581124153017 , T= 23.741960319413877 keV\n", - "Running n20= 3.005201696726778 , T= 23.968505742309045 keV\n", - "Running n20= 2.490024263002187 , T= 23.968505742309045 keV\n", - "Running n20= 1.4596693955530065 , T= 17.3986884783491 keV\n", - "Running n20= 1.974846829277597 , T= 23.968505742309045 keV\n", - "Running n20= 2.232435546139892 , T= 22.609233204938022 keV\n", - "Running n20= 1.116217773069946 , T= 16.94559763255876 keV\n", - "Running n20= 3.005201696726778 , T= 24.195051165204216 keV\n", - "Running n20= 1.7172581124153017 , T= 23.968505742309045 keV\n", - "Running n20= 2.490024263002187 , T= 24.195051165204216 keV\n", - "Running n20= 1.4596693955530065 , T= 17.625233901244272 keV\n", - "Running n20= 1.974846829277597 , T= 24.195051165204216 keV\n", - "Running n20= 2.232435546139892 , T= 22.835778627833193 keV\n", - "Running n20= 3.005201696726778 , T= 24.421596588099387 keV\n", - "Running n20= 1.7172581124153017 , T= 24.195051165204216 keV\n", - "Running n20= 2.490024263002187 , T= 24.421596588099387 keV\n", - "Running n20= 1.4596693955530065 , T= 17.851779324139443 keV\n", - "Running n20= 1.974846829277597 , T= 24.421596588099387 keV\n", - "Running n20= 2.232435546139892 , T= 23.062324050728364 keV\n", - "Running n20= 1.7172581124153017 , T= 24.421596588099387 keV\n", - "Running n20= 1.116217773069946 , T= 17.17214305545393 keV\n", - "Running n20= 1.4596693955530065 , T= 18.07832474703461 keV\n", - "Running n20= 2.232435546139892 , T= 23.288869473623535 keV\n", - "Running n20= 1.116217773069946 , T= 17.3986884783491 keV\n", - "Running n20= 1.4596693955530065 , T= 18.30487016992978 keV\n", - "Running n20= 2.232435546139892 , T= 23.515414896518706 keV\n", - "Running n20= 1.116217773069946 , T= 17.625233901244272 keV\n", - "Running n20= 1.4596693955530065 , T= 18.531415592824953 keV\n", - "Running n20= 2.232435546139892 , T= 23.741960319413877 keV\n", - "Running n20= 1.4596693955530065 , T= 18.757961015720124 keV\n", - "Running n20= 1.116217773069946 , T= 17.851779324139443 keV\n", - "Running n20= 2.232435546139892 , T= 23.968505742309045 keV\n", - "Running n20= 1.4596693955530065 , T= 18.98450643861529 keV\n", - "Running n20= 1.116217773069946 , T= 18.07832474703461 keV\n", - "Running n20= 2.232435546139892 , T= 24.195051165204216 keV\n", - "Running n20= 1.4596693955530065 , T= 19.211051861510462 keV\n", - "Running n20= 1.116217773069946 , T= 18.30487016992978 keV\n", - "Running n20= 2.232435546139892 , T= 24.421596588099387 keV\n", - "Running n20= 1.4596693955530065 , T= 19.437597284405634 keV\n", - "Running n20= 1.116217773069946 , T= 18.531415592824953 keV\n", - "Running n20= 1.4596693955530065 , T= 19.664142707300805 keV\n", - "Running n20= 1.116217773069946 , T= 18.757961015720124 keV\n", - "Running n20= 1.4596693955530065 , T= 19.890688130195976 keV\n", - "Running n20= 1.116217773069946 , T= 18.98450643861529 keV\n", - "Running n20= 1.4596693955530065 , T= 20.117233553091147 keV\n", - "Running n20= 1.116217773069946 , T= 19.211051861510462 keV\n", - "Running n20= 1.4596693955530065 , T= 20.343778975986318 keV\n", - "Running n20= 1.116217773069946 , T= 19.437597284405634 keV\n", - "Running n20= 1.4596693955530065 , T= 20.57032439888149 keV\n", - "Running n20= 1.116217773069946 , T= 19.664142707300805 keV\n", - "Running n20= 1.4596693955530065 , T= 20.796869821776657 keV\n", - "Running n20= 1.116217773069946 , T= 19.890688130195976 keV\n", - "Running n20= 1.4596693955530065 , T= 21.023415244671828 keV\n", - "Running n20= 1.116217773069946 , T= 20.117233553091147 keV\n", - "Running n20= 1.4596693955530065 , T= 21.249960667567 keV\n", - "Running n20= 1.116217773069946 , T= 20.343778975986318 keV\n", - "Running n20= 1.4596693955530065 , T= 21.47650609046217 keV\n", - "Running n20= 1.116217773069946 , T= 20.57032439888149 keV\n", - "Running n20= 1.4596693955530065 , T= 21.703051513357337 keV\n", - "Running n20= 1.116217773069946 , T= 20.796869821776657 keV\n", - "Running n20= 1.4596693955530065 , T= 21.92959693625251 keV\n", - "Running n20= 1.116217773069946 , T= 21.023415244671828 keV\n", - "Running n20= 1.4596693955530065 , T= 22.15614235914768 keV\n", - "Running n20= 1.116217773069946 , T= 21.249960667567 keV\n", - "Running n20= 1.4596693955530065 , T= 22.38268778204285 keV\n", - "Running n20= 1.116217773069946 , T= 21.47650609046217 keV\n", - "Running n20= 1.4596693955530065 , T= 22.609233204938022 keV\n", - "Running n20= 1.116217773069946 , T= 21.703051513357337 keV\n", - "Running n20= 1.4596693955530065 , T= 22.835778627833193 keV\n", - "Running n20= 1.116217773069946 , T= 21.92959693625251 keV\n", - "Running n20= 1.4596693955530065 , T= 23.062324050728364 keV\n", - "Running n20= 1.116217773069946 , T= 22.15614235914768 keV\n", - "Running n20= 1.4596693955530065 , T= 23.288869473623535 keV\n", - "Running n20= 1.116217773069946 , T= 22.38268778204285 keV\n", - "Running n20= 1.4596693955530065 , T= 23.515414896518706 keV\n", - "Running n20= 1.116217773069946 , T= 22.609233204938022 keV\n", - "Running n20= 1.4596693955530065 , T= 23.741960319413877 keV\n", - "Running n20= 1.116217773069946 , T= 22.835778627833193 keV\n", - "Running n20= 1.4596693955530065 , T= 23.968505742309045 keV\n", - "Running n20= 1.116217773069946 , T= 23.062324050728364 keV\n", - "Running n20= 1.4596693955530065 , T= 24.195051165204216 keV\n", - "Running n20= 1.116217773069946 , T= 23.288869473623535 keV\n", - "Running n20= 1.4596693955530065 , T= 24.421596588099387 keV\n", - "Running n20= 1.116217773069946 , T= 23.515414896518706 keV\n", - "Running n20= 1.116217773069946 , T= 23.741960319413877 keV\n", - "Running n20= 1.116217773069946 , T= 23.968505742309045 keV\n", - "Running n20= 1.116217773069946 , T= 24.195051165204216 keV\n", - "Running n20= 1.116217773069946 , T= 24.421596588099387 keV\n", - "Running n20= 1.1591492258803286 , T= 13.32087086623603 keV\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.1591492258803286 T= 13.32087086623603 is not physical.\n", - "Running n20= 1.1591492258803286 , T= 13.5474162891312 keV\n", - "Running n20= 1.1591492258803286 , T= 13.77396171202637 keV\n", - "Running n20= 1.1591492258803286 , T= 14.000507134921541 keV\n", - "Running n20= 1.1591492258803286 , T= 14.227052557816712 keV\n", - "Running n20= 1.1591492258803286 , T= 14.453597980711884 keV\n", - "Running n20= 1.1591492258803286 , T= 14.680143403607053 keV\n", - "Running n20= 1.1591492258803286 , T= 14.906688826502224 keV\n", - "Running n20= 1.1591492258803286 , T= 15.133234249397393 keV\n", - "Running n20= 1.1591492258803286 , T= 15.359779672292564 keV\n", - "Running n20= 1.1591492258803286 , T= 15.586325095187735 keV\n", - "Running n20= 1.1591492258803286 , T= 15.812870518082907 keV\n", - "Running n20= 1.1591492258803286 , T= 16.039415940978078 keV\n", - "Running n20= 1.1591492258803286 , T= 16.265961363873245 keV\n", - "Running n20= 1.1591492258803286 , T= 16.492506786768416 keV\n", - "Running n20= 1.1591492258803286 , T= 16.719052209663587 keV\n", - "Running n20= 1.1591492258803286 , T= 16.94559763255876 keV\n", - "Running n20= 1.1591492258803286 , T= 17.17214305545393 keV\n", - "Running n20= 1.1591492258803286 , T= 17.3986884783491 keV\n", - "Running n20= 1.1591492258803286 , T= 17.625233901244272 keV\n", - "Running n20= 1.1591492258803286 , T= 17.851779324139443 keV\n", - "Running n20= 1.1591492258803286 , T= 18.07832474703461 keV\n", - "Running n20= 1.1591492258803286 , T= 18.30487016992978 keV\n", - "Running n20= 1.1591492258803286 , T= 18.531415592824953 keV\n", - "Running n20= 1.1591492258803286 , T= 18.757961015720124 keV\n", - "Running n20= 1.1591492258803286 , T= 18.98450643861529 keV\n", - "Running n20= 1.1591492258803286 , T= 19.211051861510462 keV\n", - "Running n20= 1.1591492258803286 , T= 19.437597284405634 keV\n", - "Running n20= 1.1591492258803286 , T= 19.664142707300805 keV\n", - "Running n20= 1.1591492258803286 , T= 19.890688130195976 keV\n", - "Running n20= 1.1591492258803286 , T= 20.117233553091147 keV\n", - "Running n20= 1.1591492258803286 , T= 20.343778975986318 keV\n", - "Running n20= 1.1591492258803286 , T= 20.57032439888149 keV\n", - "Running n20= 1.1591492258803286 , T= 20.796869821776657 keV\n", - "Running n20= 1.1591492258803286 , T= 21.023415244671828 keV\n", - "Running n20= 1.1591492258803286 , T= 21.249960667567 keV\n", - "Running n20= 1.1591492258803286 , T= 21.47650609046217 keV\n", - "Running n20= 1.1591492258803286 , T= 21.703051513357337 keV\n", - "Running n20= 1.1591492258803286 , T= 21.92959693625251 keV\n", - "Running n20= 1.1591492258803286 , T= 22.15614235914768 keV\n", - "Running n20= 1.1591492258803286 , T= 22.38268778204285 keV\n", - "Running n20= 1.1591492258803286 , T= 22.609233204938022 keV\n", - "Running n20= 1.1591492258803286 , T= 22.835778627833193 keV\n", - "Running n20= 1.1591492258803286 , T= 23.062324050728364 keV\n", - "Running n20= 1.1591492258803286 , T= 23.288869473623535 keV\n", - "Running n20= 1.1591492258803286 , T= 23.515414896518706 keV\n", - "Running n20= 1.1591492258803286 , T= 23.741960319413877 keV\n", - "Running n20= 1.1591492258803286 , T= 23.968505742309045 keV\n", - "Running n20= 1.1591492258803286 , T= 24.195051165204216 keV\n", - "Running n20= 1.1591492258803286 , T= 24.421596588099387 keV\n", - "Power balance solutions found. Populating output arrays.\n", - "Populating n20=Populating n20= 2.0177782820879795 , T= 13.32087086623603 keV\n", - " 0.9015605090180334 , T= 13.32087086623603 keV\n", - "Populating n20= 2.53295571581257 , T= 13.32087086623603 keV\n", - "Populating n20= 1.502600848363389 , T= 13.32087086623603 keV\n", - "Populating n20= 1.7601895652256843 , T= 13.32087086623603 keV\n", - "Populating n20= 1.2020806786907112 , T= 13.32087086623603 keV\n", - "Populating n20= 2.7905444326748654 , T= 13.32087086623603 keV\n", - "Populating n20= 2.2753669989502745 , T= 13.32087086623603 keV\n", - "Populating n20= 0.9015605090180334 , T= 13.5474162891312 keV\n", - "Populating n20= 2.0177782820879795 , T= 13.5474162891312 keV\n", - "Populating n20= 1.502600848363389 , T= 13.5474162891312 keV\n", - "Populating n20= 2.53295571581257 , T= 13.5474162891312 keV\n", - "Populating n20= 1.2020806786907112 , T= 13.5474162891312 keV\n", - "Populating n20= 1.7601895652256843 , T= 13.5474162891312 keV\n", - "Populating n20= 2.7905444326748654 , T= 13.5474162891312 keV\n", - "Populating n20= 0.9015605090180334 , T= 13.77396171202637 keV\n", - "Populating n20= 2.0177782820879795 , T= 13.77396171202637 keV\n", - "Populating n20= 1.502600848363389 , T= 13.77396171202637 keV\n", - "Populating n20= 1.2020806786907112 , T= 13.77396171202637 keV\n", - "Populating n20= 2.53295571581257 , T= 13.77396171202637 keV\n", - "Populating n20= 1.7601895652256843 , T= 13.77396171202637 keV\n", - "Populating n20= 2.7905444326748654 , T= 13.77396171202637 keV\n", - "Populating n20= 0.9015605090180334 , T= 14.000507134921541 keV\n", - "Populating n20= 2.0177782820879795 , T= 14.000507134921541 keV\n", - "Populating n20= 1.502600848363389 , T= 14.000507134921541 keV\n", - "Populating n20= 1.2020806786907112 , T= 14.000507134921541 keV\n", - "Populating n20= 2.2753669989502745 , T= 13.5474162891312 keV\n", - "Populating n20= 1.7601895652256843 , T= 14.000507134921541 keV\n", - "Populating n20= 2.7905444326748654 , T= 14.000507134921541 keV\n", - "Populating n20= 2.53295571581257 , T= 14.000507134921541 keV\n", - "Populating n20= 0.9015605090180334 , T= 14.227052557816712 keV\n", - "Populating n20= 2.0177782820879795 , T= 14.227052557816712 keV\n", - "Populating n20= 1.2020806786907112 , T= 14.227052557816712 keV\n", - "Populating n20= 1.7601895652256843 , T= 14.227052557816712 keV\n", - "Populating n20= 2.2753669989502745 , T= 13.77396171202637 keV\n", - "Populating n20= 2.53295571581257 , T= 14.227052557816712 keV\n", - "Populating n20= 2.7905444326748654 , T= 14.227052557816712 keV\n", - "Populating n20= 1.2020806786907112 , T= 14.453597980711884 keV\n", - "Populating n20= 2.0177782820879795 , T= 14.453597980711884 keV\n", - "Populating n20= 0.9015605090180334 , T= 14.453597980711884 keV\n", - "Populating n20= 1.7601895652256843 , T= 14.453597980711884 keV\n", - "Populating n20= 2.2753669989502745 , T= 14.000507134921541 keV\n", - "Populating n20= 1.502600848363389 , T= 14.227052557816712 keV\n", - "Populating n20= 2.53295571581257 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7905444326748654 , T= 14.453597980711884 keV\n", - "Populating n20= 1.2020806786907112 , T= 14.680143403607053 keV\n", - "Populating n20= 2.0177782820879795 , T= 14.680143403607053 keV\n", - "Populating n20= 1.7601895652256843 , T= 14.680143403607053 keV\n", - "Populating n20= 2.2753669989502745 , T= 14.227052557816712 keV\n", - "Populating n20= 2.53295571581257 , T= 14.680143403607053 keV\n", - "Populating n20= 2.7905444326748654 , T= 14.680143403607053 keV\n", - "Populating n20= 1.2020806786907112 , T= 14.906688826502224 keV\n", - "Populating n20= 2.0177782820879795 , T= 14.906688826502224 keV\n", - "Populating n20= 1.7601895652256843 , T= 14.906688826502224 keV\n", - "Populating n20= 2.2753669989502745 , T= 14.453597980711884 keV\n", - "Populating n20= 2.53295571581257 , T= 14.906688826502224 keV\n", - "Populating n20= 2.7905444326748654 , T= 14.906688826502224 keV\n", - "Populating n20= 1.2020806786907112 , T= 15.133234249397393 keV\n", - "Populating n20= 2.0177782820879795 , T= 15.133234249397393 keV\n", - "Populating n20= 1.502600848363389 , T= 14.453597980711884 keV\n", - "Populating n20= 0.9015605090180334 , T= 14.680143403607053 keV\n", - "Populating n20= 1.7601895652256843 , T= 15.133234249397393 keV\n", - "Populating n20= 2.2753669989502745 , T= 14.680143403607053 keV\n", - "Populating n20= 2.53295571581257 , T= 15.133234249397393 keV\n", - "Populating n20= 2.7905444326748654 , T= 15.133234249397393 keV\n", - "Populating n20= 1.2020806786907112 , T= 15.359779672292564 keV\n", - "Populating n20= 2.0177782820879795 , T= 15.359779672292564 keV\n", - "Populating n20= 2.2753669989502745 , T= 14.906688826502224 keV\n", - "Populating n20= 1.7601895652256843 , T= 15.359779672292564 keV\n", - "Populating n20= 2.53295571581257 , T= 15.359779672292564 keV\n", - "Populating n20= 2.7905444326748654 , T= 15.359779672292564 keV\n", - "Populating n20= 1.2020806786907112 , T= 15.586325095187735 keV\n", - "Populating n20= 2.0177782820879795 , T= 15.586325095187735 keV\n", - "Populating n20= 2.2753669989502745 , T= 15.133234249397393 keV\n", - "Populating n20= 1.7601895652256843 , T= 15.586325095187735 keV\n", - "Populating n20= 2.53295571581257 , T= 15.586325095187735 keV\n", - "Populating n20= 1.502600848363389 , T= 14.680143403607053 keV\n", - "Populating n20= 2.0177782820879795 , T= 15.812870518082907 keV\n", - "Populating n20= 0.9015605090180334 , T= 14.906688826502224 keV\n", - "Populating n20= 2.7905444326748654 , T= 15.586325095187735 keV\n", - "Populating n20= 2.2753669989502745 , T= 15.359779672292564 keV\n", - "Populating n20= 1.7601895652256843 , T= 15.812870518082907 keV\n", - "Populating n20= 2.53295571581257 , T= 15.812870518082907 keV\n", - "Populating n20= 1.502600848363389 , T= 14.906688826502224 keV\n", - "Populating n20= 2.0177782820879795 , T= 16.039415940978078 keV\n", - "Populating n20= 2.7905444326748654 , T= 15.812870518082907 keV\n", - "Populating n20= 2.2753669989502745 , T= 15.586325095187735 keV\n", - "Populating n20= 1.2020806786907112 , T= 15.812870518082907 keV\n", - "Populating n20= 1.7601895652256843 , T= 16.039415940978078 keV\n", - "Populating n20= 2.53295571581257 , T= 16.039415940978078 keV\n", - "Populating n20= 0.9015605090180334 , T= 15.133234249397393 keV\n", - "Populating n20= 2.7905444326748654 , T= 16.039415940978078 keV\n", - "Populating n20= 2.2753669989502745 , T= 15.812870518082907 keV\n", - "Populating n20= 1.2020806786907112 , T= 16.039415940978078 keV\n", - "Populating n20= 1.7601895652256843 , T= 16.265961363873245 keV\n", - "Populating n20= 1.502600848363389 , T= 15.133234249397393 keV\n", - "Populating n20= 2.0177782820879795 , T= 16.265961363873245 keV\n", - "Populating n20= 0.9015605090180334 , T= 15.359779672292564 keV\n", - "Populating n20= 2.7905444326748654 , T= 16.265961363873245 keV\n", - "Populating n20= 2.2753669989502745 , T= 16.039415940978078 keV\n", - "Populating n20= 1.2020806786907112 , T= 16.265961363873245 keV\n", - "Populating n20= 1.7601895652256843 , T= 16.492506786768416 keV\n", - "Populating n20= 2.53295571581257 , T= 16.265961363873245 keV\n", - "Populating n20= 2.0177782820879795 , T= 16.492506786768416 keV\n", - "Populating n20= 0.9015605090180334 , T= 15.586325095187735 keV\n", - "Populating n20= 2.7905444326748654 , T= 16.492506786768416 keV\n", - "Populating n20= 2.2753669989502745 , T= 16.265961363873245 keV\n", - "Populating n20= 1.2020806786907112 , T= 16.492506786768416 keV\n", - "Populating n20= 1.7601895652256843 , T= 16.719052209663587 keV\n", - "Populating n20= 2.0177782820879795 , T= 16.719052209663587 keV\n", - "Populating n20= 2.53295571581257 , T= 16.492506786768416 keV\n", - "Populating n20= 2.7905444326748654 , T= 16.719052209663587 keV\n", - "Populating n20= 2.2753669989502745 , T= 16.492506786768416 keV\n", - "Populating n20= 1.502600848363389 , T= 15.359779672292564 keV\n", - "Populating n20= 1.2020806786907112 , T= 16.719052209663587 keV\n", - "Populating n20= 1.7601895652256843 , T= 16.94559763255876 keV\n", - "Populating n20= 2.0177782820879795 , T= 16.94559763255876 keV\n", - "Populating n20= 2.53295571581257 , T= 16.719052209663587 keV\n", - "Populating n20= 2.7905444326748654 , T= 16.94559763255876 keV\n", - "Populating n20= 2.2753669989502745 , T= 16.719052209663587 keV\n", - "Populating n20= 1.2020806786907112 , T= 16.94559763255876 keV\n", - "Populating n20= 1.7601895652256843 , T= 17.17214305545393 keV\n", - "Populating n20= 0.9015605090180334 , T= 15.812870518082907 keV\n", - "Populating n20= 2.0177782820879795 , T= 17.17214305545393 keV\n", - "Populating n20= 2.53295571581257 , T= 16.94559763255876 keV\n", - "Populating n20= 2.7905444326748654 , T= 17.17214305545393 keV\n", - "Populating n20= 1.502600848363389 , T= 15.586325095187735 keV\n", - "Populating n20= 1.2020806786907112 , T= 17.17214305545393 keV\n", - "Populating n20= 1.7601895652256843 , T= 17.3986884783491 keV\n", - "Populating n20= 2.0177782820879795 , T= 17.3986884783491 keV\n", - "Populating n20= 2.53295571581257 , T= 17.17214305545393 keV\n", - "Populating n20= 2.7905444326748654 , T= 17.3986884783491 keV\n", - "Populating n20= 1.502600848363389 , T= 15.812870518082907 keV\n", - "Populating n20= 2.2753669989502745 , T= 16.94559763255876 keV\n", - "Populating n20= 1.2020806786907112 , T= 17.3986884783491 keV\n", - "Populating n20= 1.7601895652256843 , T= 17.625233901244272 keV\n", - "Populating n20= 2.0177782820879795 , T= 17.625233901244272 keV\n", - "Populating n20= 2.53295571581257 , T= 17.3986884783491 keV\n", - "Populating n20= 2.7905444326748654 , T= 17.625233901244272 keV\n", - "Populating n20= 1.502600848363389 , T= 16.039415940978078 keV\n", - "Populating n20= 0.9015605090180334 , T= 16.039415940978078 keV\n", - "Populating n20= 1.2020806786907112 , T= 17.625233901244272 keV\n", - "Populating n20= 1.7601895652256843 , T= 17.851779324139443 keV\n", - "Populating n20= 2.0177782820879795 , T= 17.851779324139443 keV\n", - "Populating n20= 2.53295571581257 , T= 17.625233901244272 keV\n", - "Populating n20= 1.502600848363389 , T= 16.265961363873245 keV\n", - "Populating n20= 0.9015605090180334 , T= 16.265961363873245 keV\n", - "Populating n20= 1.2020806786907112 , T= 17.851779324139443 keV\n", - "Populating n20= 1.7601895652256843 , T= 18.07832474703461 keV\n", - "Populating n20= 2.0177782820879795 , T= 18.07832474703461 keV\n", - "Populating n20= 2.53295571581257 , T= 17.851779324139443 keV\n", - "Populating n20= 2.2753669989502745 , T= 17.17214305545393 keV\n", - "Populating n20= 1.502600848363389 , T= 16.492506786768416 keV\n", - "Populating n20= 0.9015605090180334 , T= 16.492506786768416 keV\n", - "Populating n20= 1.2020806786907112 , T= 18.07832474703461 keV\n", - "Populating n20= 2.7905444326748654 , T= 17.851779324139443 keV\n", - "Populating n20= 1.7601895652256843 , T= 18.30487016992978 keV\n", - "Populating n20= 2.0177782820879795 , T= 18.30487016992978 keV\n", - "Populating n20= 2.53295571581257 , T= 18.07832474703461 keV\n", - "Populating n20= 1.502600848363389 , T= 16.719052209663587 keV\n", - "Populating n20= 2.2753669989502745 , T= 17.3986884783491 keV\n", - "Populating n20= 1.2020806786907112 , T= 18.30487016992978 keV\n", - "Populating n20= 2.0177782820879795 , T= 18.531415592824953 keV\n", - "Populating n20= 2.7905444326748654 , T= 18.07832474703461 keV\n", - "Populating n20= 2.53295571581257 , T= 18.30487016992978 keV\n", - "Populating n20= 1.502600848363389 , T= 16.94559763255876 keV\n", - "Populating n20= 0.9015605090180334 , T= 16.719052209663587 keV\n", - "Populating n20= 2.2753669989502745 , T= 17.625233901244272 keV\n", - "Populating n20= 1.2020806786907112 , T= 18.531415592824953 keV\n", - "Populating n20= 2.7905444326748654 , T= 18.30487016992978 keV\n", - "Populating n20= 2.0177782820879795 , T= 18.757961015720124 keV\n", - "Populating n20= 2.53295571581257 , T= 18.531415592824953 keV\n", - "Populating n20= 1.502600848363389 , T= 17.17214305545393 keV\n", - "Populating n20= 2.2753669989502745 , T= 17.851779324139443 keV\n", - "Populating n20= 1.2020806786907112 , T= 18.757961015720124 keV\n", - "Populating n20= 1.7601895652256843 , T= 18.531415592824953 keV\n", - "Populating n20= 2.0177782820879795 , T= 18.98450643861529 keV\n", - "Populating n20= 2.7905444326748654 , T= 18.531415592824953 keV\n", - "Populating n20= 0.9015605090180334 , T= 16.94559763255876 keV\n", - "Populating n20= 2.2753669989502745 , T= 18.07832474703461 keV\n", - "Populating n20= 1.2020806786907112 , T= 18.98450643861529 keV\n", - "Populating n20= 2.53295571581257 , T= 18.757961015720124 keV\n", - "Populating n20= 1.502600848363389 , T= 17.3986884783491 keV\n", - "Populating n20= 1.7601895652256843 , T= 18.757961015720124 keV\n", - "Populating n20= 2.0177782820879795 , T= 19.211051861510462 keV\n", - "Populating n20= 2.7905444326748654 , T= 18.757961015720124 keV\n", - "Populating n20= 0.9015605090180334 , T= 17.17214305545393 keV\n", - "Populating n20= 2.2753669989502745 , T= 18.30487016992978 keV\n", - "Populating n20= 1.2020806786907112 , T= 19.211051861510462 keV\n", - "Populating n20= 1.7601895652256843 , T= 18.98450643861529 keV\n", - "Populating n20= 2.0177782820879795 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7905444326748654 , T= 18.98450643861529 keV\n", - "Populating n20= 0.9015605090180334 , T= 17.3986884783491 keV\n", - "Populating n20= 2.2753669989502745 , T= 18.531415592824953 keV\n", - "Populating n20= 1.2020806786907112 , T= 19.437597284405634 keV\n", - "Populating n20= 1.7601895652256843 , T= 19.211051861510462 keV\n", - "Populating n20= 2.0177782820879795 , T= 19.664142707300805 keV\n", - "Populating n20= 2.7905444326748654 , T= 19.211051861510462 keV\n", - "Populating n20= 0.9015605090180334 , T= 17.625233901244272 keV\n", - "Populating n20= 2.2753669989502745 , T= 18.757961015720124 keV\n", - "Populating n20= 2.53295571581257 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2020806786907112 , T= 19.664142707300805 keV\n", - "Populating n20= 1.502600848363389 , T= 17.625233901244272 keV\n", - "Populating n20= 1.7601895652256843 , T= 19.437597284405634 keV\n", - "Populating n20= 2.0177782820879795 , T= 19.890688130195976 keV\n", - "Populating n20= 2.7905444326748654 , T= 19.437597284405634 keV\n", - "Populating n20= 0.9015605090180334 , T= 17.851779324139443 keV\n", - "Populating n20= 2.2753669989502745 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2020806786907112 , T= 19.890688130195976 keV\n", - "Populating n20= 1.7601895652256843 , T= 19.664142707300805 keV\n", - "Populating n20= 2.0177782820879795 , T= 20.117233553091147 keV\n", - "Populating n20= 2.7905444326748654 , T= 19.664142707300805 keV\n", - "Populating n20= 0.9015605090180334 , T= 18.07832474703461 keV\n", - "Populating n20= 2.53295571581257 , T= 19.211051861510462 keV\n", - "Populating n20= 2.2753669989502745 , T= 19.211051861510462 keV\n", - "Populating n20= 1.2020806786907112 , T= 20.117233553091147 keV\n", - "Populating n20= 2.0177782820879795 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7905444326748654 , T= 19.890688130195976 keV\n", - "Populating n20= 1.7601895652256843 , T= 19.890688130195976 keV\n", - "Populating n20= 0.9015605090180334 , T= 18.30487016992978 keV\n", - "Populating n20= 2.53295571581257 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2020806786907112 , T= 20.343778975986318 keV\n", - "Populating n20= 1.502600848363389 , T= 17.851779324139443 keV\n", - "Populating n20= 2.7905444326748654 , T= 20.117233553091147 keV\n", - "Populating n20= 1.7601895652256843 , T= 20.117233553091147 keV\n", - "Populating n20= 2.0177782820879795 , T= 20.57032439888149 keV\n", - "Populating n20= 0.9015605090180334 , T= 18.531415592824953 keV\n", - "Populating n20= 2.53295571581257 , T= 19.664142707300805 keV\n", - "Populating n20= 1.2020806786907112 , T= 20.57032439888149 keV\n", - "Populating n20= 2.2753669989502745 , T= 19.437597284405634 keV\n", - "Populating n20= 1.7601895652256843 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7905444326748654 , T= 20.343778975986318 keV\n", - "Populating n20= 2.0177782820879795 , T= 20.796869821776657 keV\n", - "Populating n20= 1.2020806786907112 , T= 20.796869821776657 keV\n", - "Populating n20= 2.53295571581257 , T= 19.890688130195976 keV\n", - "Populating n20= 2.2753669989502745 , T= 19.664142707300805 keV\n", - "Populating n20= 1.7601895652256843 , T= 20.57032439888149 keV\n", - "Populating n20= 2.7905444326748654 , T= 20.57032439888149 keV\n", - "Populating n20= 2.0177782820879795 , T= 21.023415244671828 keV\n", - "Populating n20= 1.2020806786907112 , T= 21.023415244671828 keV\n", - "Populating n20= 2.53295571581257 , T= 20.117233553091147 keV\n", - "Populating n20= 0.9015605090180334 , T= 18.757961015720124 keV\n", - "Populating n20= 2.2753669989502745 , T= 19.890688130195976 keV\n", - "Populating n20= 1.502600848363389 , T= 18.07832474703461 keV\n", - "Populating n20= 1.7601895652256843 , T= 20.796869821776657 keV\n", - "Populating n20= 2.7905444326748654 , T= 20.796869821776657 keV\n", - "Populating n20= 2.0177782820879795 , T= 21.249960667567 keV\n", - "Populating n20= 1.2020806786907112 , T= 21.249960667567 keV\n", - "Populating n20= 2.53295571581257 , T= 20.343778975986318 keV\n", - "Populating n20= 1.502600848363389 , T= 18.30487016992978 keV\n", - "Populating n20= 1.7601895652256843 , T= 21.023415244671828 keV\n", - "Populating n20= 2.0177782820879795 , T= 21.47650609046217 keV\n", - "Populating n20= 1.2020806786907112 , T= 21.47650609046217 keV\n", - "Populating n20= 2.53295571581257 , T= 20.57032439888149 keV\n", - "Populating n20= 0.9015605090180334 , T= 18.98450643861529 keV\n", - "Populating n20= 2.7905444326748654 , T= 21.023415244671828 keV\n", - "Populating n20= 2.2753669989502745 , T= 20.117233553091147 keV\n", - "Populating n20= 1.502600848363389 , T= 18.531415592824953 keV\n", - "Populating n20= 1.7601895652256843 , T= 21.249960667567 keV\n", - "Populating n20= 2.0177782820879795 , T= 21.703051513357337 keV\n", - "Populating n20= 1.2020806786907112 , T= 21.703051513357337 keV\n", - "Populating n20= 0.9015605090180334 , T= 19.211051861510462 keV\n", - "Populating n20= 2.53295571581257 , T= 20.796869821776657 keV\n", - "Populating n20= 1.502600848363389 , T= 18.757961015720124 keV\n", - "Populating n20= 1.7601895652256843 , T= 21.47650609046217 keV\n", - "Populating n20= 2.0177782820879795 , T= 21.92959693625251 keV\n", - "Populating n20= 1.2020806786907112 , T= 21.92959693625251 keV\n", - "Populating n20= 2.7905444326748654 , T= 21.249960667567 keV\n", - "Populating n20= 2.53295571581257 , T= 21.023415244671828 keV\n", - "Populating n20= 2.2753669989502745 , T= 20.343778975986318 keV\n", - "Populating n20= 1.502600848363389 , T= 18.98450643861529 keV\n", - "Populating n20= 1.7601895652256843 , T= 21.703051513357337 keV\n", - "Populating n20= 1.2020806786907112 , T= 22.15614235914768 keV\n", - "Populating n20= 2.7905444326748654 , T= 21.47650609046217 keV\n", - "Populating n20= 2.53295571581257 , T= 21.249960667567 keV\n", - "Populating n20= 2.2753669989502745 , T= 20.57032439888149 keV\n", - "Populating n20= 0.9015605090180334 , T= 19.437597284405634 keV\n", - "Populating n20= 1.502600848363389 , T= 19.211051861510462 keV\n", - "Populating n20= 1.7601895652256843 , T= 21.92959693625251 keV\n", - "Populating n20= 1.2020806786907112 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7905444326748654 , T= 21.703051513357337 keV\n", - "Populating n20= 2.53295571581257 , T= 21.47650609046217 keV\n", - "Populating n20= 2.2753669989502745 , T= 20.796869821776657 keV\n", - "Populating n20= 2.0177782820879795 , T= 22.15614235914768 keV\n", - "Populating n20= 1.2020806786907112 , T= 22.609233204938022 keV\n", - "Populating n20= 1.7601895652256843 , T= 22.15614235914768 keV\n", - "Populating n20= 0.9015605090180334 , T= 19.664142707300805 keV\n", - "Populating n20= 2.0177782820879795 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7905444326748654 , T= 21.92959693625251 keV\n", - "Populating n20= 2.2753669989502745 , T= 21.023415244671828 keV\n", - "Populating n20= 1.2020806786907112 , T= 22.835778627833193 keV\n", - "Populating n20= 1.7601895652256843 , T= 22.38268778204285 keV\n", - "Populating n20= 0.9015605090180334 , T= 19.890688130195976 keV\n", - "Populating n20= 1.502600848363389 , T= 19.437597284405634 keV\n", - "Populating n20= 2.0177782820879795 , T= 22.609233204938022 keV\n", - "Populating n20= 2.2753669989502745 , T= 21.249960667567 keV\n", - "Populating n20= 1.2020806786907112 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7905444326748654 , T= 22.15614235914768 keV\n", - "Populating n20= 1.7601895652256843 , T= 22.609233204938022 keV\n", - "Populating n20= 2.53295571581257 , T= 21.703051513357337 keV\n", - "Populating n20= 2.0177782820879795 , T= 22.835778627833193 keV\n", - "Populating n20= 1.2020806786907112 , T= 23.288869473623535 keV\n", - "Populating n20= 2.2753669989502745 , T= 21.47650609046217 keV\n", - "Populating n20= 1.7601895652256843 , T= 22.835778627833193 keV\n", - "Populating n20= 2.7905444326748654 , T= 22.38268778204285 keV\n", - "Populating n20= 0.9015605090180334 , T= 20.117233553091147 keV\n", - "Populating n20= 2.53295571581257 , T= 21.92959693625251 keV\n", - "Populating n20= 2.0177782820879795 , T= 23.062324050728364 keV\n", - "Populating n20= 1.2020806786907112 , T= 23.515414896518706 keV\n", - "Populating n20= 1.502600848363389 , T= 19.664142707300805 keV\n", - "Populating n20= 2.2753669989502745 , T= 21.703051513357337 keV\n", - "Populating n20= 1.7601895652256843 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7905444326748654 , T= 22.609233204938022 keV\n", - "Populating n20= 2.53295571581257 , T= 22.15614235914768 keV\n", - "Populating n20= 2.0177782820879795 , T= 23.288869473623535 keV\n", - "Populating n20= 1.2020806786907112 , T= 23.741960319413877 keV\n", - "Populating n20= 1.7601895652256843 , T= 23.288869473623535 keV\n", - "Populating n20= 2.53295571581257 , T= 22.38268778204285 keV\n", - "Populating n20= 0.9015605090180334 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7905444326748654 , T= 22.835778627833193 keV\n", - "Populating n20= 1.502600848363389 , T= 19.890688130195976 keV\n", - "Populating n20= 2.2753669989502745 , T= 21.92959693625251 keV\n", - "Populating n20= 2.0177782820879795 , T= 23.515414896518706 keV\n", - "Populating n20= 1.7601895652256843 , T= 23.515414896518706 keV\n", - "Populating n20= 2.53295571581257 , T= 22.609233204938022 keV\n", - "Populating n20= 0.9015605090180334 , T= 20.57032439888149 keV\n", - "Populating n20= 2.7905444326748654 , T= 23.062324050728364 keV\n", - "Populating n20= 2.2753669989502745 , T= 22.15614235914768 keV\n", - "Populating n20= 2.0177782820879795 , T= 23.741960319413877 keV\n", - "Populating n20= 1.2020806786907112 , T= 23.968505742309045 keV\n", - "Populating n20= 2.53295571581257 , T= 22.835778627833193 keV\n", - "Populating n20= 1.7601895652256843 , T= 23.741960319413877 keV\n", - "Populating n20= 0.9015605090180334 , T= 20.796869821776657 keV\n", - "Populating n20= 2.7905444326748654 , T= 23.288869473623535 keV\n", - "Populating n20= 2.2753669989502745 , T= 22.38268778204285 keV\n", - "Populating n20= 1.502600848363389 , T= 20.117233553091147 keV\n", - "Populating n20= 2.0177782820879795 , T= 23.968505742309045 keV\n", - "Populating n20= 1.7601895652256843 , T= 23.968505742309045 keV\n", - "Populating n20= 2.53295571581257 , T= 23.062324050728364 keV\n", - "Populating n20= 0.9015605090180334 , T= 21.023415244671828 keV\n", - "Populating n20= 2.7905444326748654 , T= 23.515414896518706 keV\n", - "Populating n20= 2.2753669989502745 , T= 22.609233204938022 keV\n", - "Populating n20= 1.502600848363389 , T= 20.343778975986318 keV\n", - "Populating n20= 1.2020806786907112 , T= 24.195051165204216 keV\n", - "Populating n20= 1.7601895652256843 , T= 24.195051165204216 keV\n", - "Populating n20= 0.9015605090180334 , T= 21.249960667567 keV\n", - "Populating n20= 2.7905444326748654 , T= 23.741960319413877 keV\n", - "Populating n20= 2.2753669989502745 , T= 22.835778627833193 keV\n", - "Populating n20= 1.502600848363389 , T= 20.57032439888149 keV\n", - "Populating n20= 1.2020806786907112 , T= 24.421596588099387 keV\n", - "Populating n20= 2.0177782820879795 , T= 24.195051165204216 keV\n", - "Populating n20= 2.53295571581257 , T= 23.288869473623535 keV\n", - "Populating n20= 0.9015605090180334 , T= 21.47650609046217 keV\n", - "Populating n20= 2.7905444326748654 , T= 23.968505742309045 keV\n", - "Populating n20= 1.7601895652256843 , T= 24.421596588099387 keV\n", - "Populating n20= 1.502600848363389 , T= 20.796869821776657 keV\n", - "Populating n20= 1.2450121315010938 , T= 13.32087086623603 keV\n", - "Populating n20= 2.0177782820879795 , T= 24.421596588099387 keV\n", - "Populating n20= 2.53295571581257 , T= 23.515414896518706 keV\n", - "Populating n20= 2.7905444326748654 , T= 24.195051165204216 keV\n", - "Populating n20= 0.9015605090180334 , T= 21.703051513357337 keV\n", - "Populating n20= 2.2753669989502745 , T= 23.062324050728364 keV\n", - "Populating n20= 1.502600848363389 , T= 21.023415244671828 keV\n", - "Populating n20= 1.2450121315010938 , T= 13.5474162891312 keV\n", - "Populating n20= 2.53295571581257 , T= 23.741960319413877 keV\n", - "Populating n20= 2.060709734898362 , T= 13.32087086623603 keV\n", - "Populating n20= 2.7905444326748654 , T= 24.421596588099387 keV\n", - "Populating n20= 0.9015605090180334 , T= 21.92959693625251 keV\n", - "Populating n20= 1.8031210180360668 , T= 13.32087086623603 keV\n", - "Populating n20= 1.502600848363389 , T= 21.249960667567 keV\n", - "Populating n20= 1.2450121315010938 , T= 13.77396171202637 keV\n", - "Populating n20= 2.2753669989502745 , T= 23.288869473623535 keV\n", - "Populating n20= 2.8334758854852478 , T= 13.32087086623603 keV\n", - "Populating n20= 2.53295571581257 , T= 23.968505742309045 keV\n", - "Populating n20= 1.8031210180360668 , T= 13.5474162891312 keV\n", - "Populating n20= 1.502600848363389 , T= 21.47650609046217 keV\n", - "Populating n20= 1.2450121315010938 , T= 14.000507134921541 keV\n", - "Populating n20= 2.2753669989502745 , T= 23.515414896518706 keV\n", - "Populating n20= 2.8334758854852478 , T= 13.5474162891312 keV\n", - "Populating n20= 2.53295571581257 , T= 24.195051165204216 keV\n", - "Populating n20= 1.8031210180360668 , T= 13.77396171202637 keV\n", - "Populating n20= 1.502600848363389 , T= 21.703051513357337 keV\n", - "Populating n20= 1.2450121315010938 , T= 14.227052557816712 keV\n", - "Populating n20= 2.2753669989502745 , T= 23.741960319413877 keV\n", - "Populating n20= 2.060709734898362 , T= 13.5474162891312 keV\n", - "Populating n20= 2.8334758854852478 , T= 13.77396171202637 keV\n", - "Populating n20= 0.9015605090180334 , T= 22.15614235914768 keV\n", - "Populating n20= 2.53295571581257 , T= 24.421596588099387 keV\n", - "Populating n20= 1.8031210180360668 , T= 14.000507134921541 keV\n", - "Populating n20= 2.2753669989502745 , T= 23.968505742309045 keV\n", - "Populating n20= 2.060709734898362 , T= 13.77396171202637 keV\n", - "Populating n20= 2.8334758854852478 , T= 14.000507134921541 keV\n", - "Populating n20= 0.9015605090180334 , T= 22.38268778204285 keV\n", - "Populating n20= 2.5758871686229527 , T= 13.32087086623603 keV\n", - "Populating n20= 1.8031210180360668 , T= 14.227052557816712 keV\n", - "Populating n20= 2.2753669989502745 , T= 24.195051165204216 keV\n", - "Populating n20= 1.2450121315010938 , T= 14.453597980711884 keV\n", - "Populating n20= 1.502600848363389 , T= 21.92959693625251 keV\n", - "Populating n20= 2.060709734898362 , T= 14.000507134921541 keV\n", - "Populating n20= 2.8334758854852478 , T= 14.227052557816712 keV\n", - "Populating n20= 0.9015605090180334 , T= 22.609233204938022 keV\n", - "Populating n20= 2.5758871686229527 , T= 13.5474162891312 keV\n", - "Populating n20= 1.8031210180360668 , T= 14.453597980711884 keV\n", - "Populating n20= 2.2753669989502745 , T= 24.421596588099387 keV\n", - "Populating n20= 2.8334758854852478 , T= 14.453597980711884 keV\n", - "Populating n20= 2.060709734898362 , T= 14.227052557816712 keV\n", - "Populating n20= 0.9015605090180334 , T= 22.835778627833193 keV\n", - "Populating n20= 1.2450121315010938 , T= 14.680143403607053 keV\n", - "Populating n20= 1.8031210180360668 , T= 14.680143403607053 keV\n", - "Populating n20= 2.3182984517606573 , T= 13.32087086623603 keV\n", - "Populating n20= 2.5758871686229527 , T= 13.77396171202637 keV\n", - "Populating n20= 2.8334758854852478 , T= 14.680143403607053 keV\n", - "Populating n20= 2.060709734898362 , T= 14.453597980711884 keV\n", - "Populating n20= 0.9015605090180334 , T= 23.062324050728364 keV\n", - "Populating n20= 1.2450121315010938 , T= 14.906688826502224 keV\n", - "Populating n20= 1.8031210180360668 , T= 14.906688826502224 keV\n", - "Populating n20= 1.502600848363389 , T= 22.15614235914768 keV\n", - "Populating n20= 2.3182984517606573 , T= 13.5474162891312 keV\n", - "Populating n20= 2.8334758854852478 , T= 14.906688826502224 keV\n", - "Populating n20= 2.060709734898362 , T= 14.680143403607053 keV\n", - "Populating n20= 0.9015605090180334 , T= 23.288869473623535 keV\n", - "Populating n20= 1.2450121315010938 , T= 15.133234249397393 keV\n", - "Populating n20= 1.8031210180360668 , T= 15.133234249397393 keV\n", - "Populating n20= 2.3182984517606573 , T= 13.77396171202637 keV\n", - "Populating n20= 1.502600848363389 , T= 22.38268778204285 keV\n", - "Populating n20= 2.060709734898362 , T= 14.906688826502224 keV\n", - "Populating n20= 2.8334758854852478 , T= 15.133234249397393 keV\n", - "Populating n20= 2.5758871686229527 , T= 14.000507134921541 keV\n", - "Populating n20= 1.2450121315010938 , T= 15.359779672292564 keV\n", - "Populating n20= 1.8031210180360668 , T= 15.359779672292564 keV\n", - "Populating n20= 2.3182984517606573 , T= 14.000507134921541 keV\n", - "Populating n20= 1.502600848363389 , T= 22.609233204938022 keV\n", - "Populating n20= 2.060709734898362 , T= 15.133234249397393 keV\n", - "Populating n20= 2.5758871686229527 , T= 14.227052557816712 keV\n", - "Populating n20= 1.2450121315010938 , T= 15.586325095187735 keV\n", - "Populating n20= 1.8031210180360668 , T= 15.586325095187735 keV\n", - "Populating n20= 2.3182984517606573 , T= 14.227052557816712 keV\n", - "Populating n20=Populating n20= 2.5758871686229527 , T= 14.453597980711884 keV\n", - "Populating n20= 2.060709734898362 , T= 15.359779672292564 keV\n", - " 1.502600848363389 , T= 22.835778627833193 keV\n", - "Populating n20= 1.2450121315010938 , T= 15.812870518082907 keV\n", - "Populating n20= 0.9015605090180334 , T= 23.515414896518706 keV\n", - "Populating n20= 2.8334758854852478 , T= 15.359779672292564 keV\n", - "Populating n20= 1.8031210180360668 , T= 15.812870518082907 keV\n", - "Populating n20= 2.3182984517606573 , T= 14.453597980711884 keV\n", - "Populating n20= 2.5758871686229527 , T= 14.680143403607053 keV\n", - "Populating n20= 1.2450121315010938 , T= 16.039415940978078 keV\n", - "Populating n20= 2.8334758854852478 , T= 15.586325095187735 keV\n", - "Populating n20= 0.9015605090180334 , T= 23.741960319413877 keV\n", - "Populating n20= 1.502600848363389 , T= 23.062324050728364 keV\n", - "Populating n20= 1.8031210180360668 , T= 16.039415940978078 keV\n", - "Populating n20= 2.3182984517606573 , T= 14.680143403607053 keV\n", - "Populating n20= 2.5758871686229527 , T= 14.906688826502224 keV\n", - "Populating n20= 2.060709734898362 , T= 15.586325095187735 keV\n", - "Populating n20= 2.8334758854852478 , T= 15.812870518082907 keV\n", - "Populating n20= 0.9015605090180334 , T= 23.968505742309045 keV\n", - "Populating n20= 1.502600848363389 , T= 23.288869473623535 keV\n", - "Populating n20= 1.8031210180360668 , T= 16.265961363873245 keV\n", - "Populating n20= 2.3182984517606573 , T= 14.906688826502224 keV\n", - "Populating n20= 2.5758871686229527 , T= 15.133234249397393 keV\n", - "Populating n20= 2.060709734898362 , T= 15.812870518082907 keV\n", - "Populating n20= 0.9015605090180334 , T= 24.195051165204216 keV\n", - "Populating n20= 1.502600848363389 , T= 23.515414896518706 keV\n", - "Populating n20= 1.8031210180360668 , T= 16.492506786768416 keV\n", - "Populating n20= 2.3182984517606573 , T= 15.133234249397393 keV\n", - "Populating n20= 2.5758871686229527 , T= 15.359779672292564 keV\n", - "Populating n20= 2.060709734898362 , T= 16.039415940978078 keV\n", - "Populating n20= 1.2450121315010938 , T= 16.265961363873245 keV\n", - "Populating n20= 0.9015605090180334 , T= 24.421596588099387 keV\n", - "Populating n20= 1.502600848363389 , T= 23.741960319413877 keV\n", - "Populating n20= 1.8031210180360668 , T= 16.719052209663587 keV\n", - "Populating n20= 2.3182984517606573 , T= 15.359779672292564 keV\n", - "Populating n20= 2.5758871686229527 , T= 15.586325095187735 keV\n", - "Populating n20= 0.944491961828416 , T= 13.32087086623603 keV\n", - "Populating n20= 2.060709734898362 , T= 16.265961363873245 keV\n", - "Populating n20= 2.8334758854852478 , T= 16.039415940978078 keV\n", - "Populating n20= 2.3182984517606573 , T= 15.586325095187735 keV\n", - "Populating n20= 1.8031210180360668 , T= 16.94559763255876 keV\n", - "Populating n20= 1.2450121315010938 , T= 16.492506786768416 keV\n", - "Populating n20= 1.502600848363389 , T= 23.968505742309045 keV\n", - "Populating n20= 2.5758871686229527 , T= 15.812870518082907 keV\n", - "Populating n20= 0.944491961828416 , T= 13.5474162891312 keV\n", - "Populating n20= 2.060709734898362 , T= 16.492506786768416 keV\n", - "Populating n20= 2.8334758854852478 , T= 16.265961363873245 keV\n", - "Populating n20= 1.8031210180360668 , T= 17.17214305545393 keV\n", - "Populating n20= 2.3182984517606573 , T= 15.812870518082907 keV\n", - "Populating n20= 0.944491961828416 , T= 13.77396171202637 keV\n", - "Populating n20= 2.060709734898362 , T= 16.719052209663587 keV\n", - "Populating n20= 2.8334758854852478 , T= 16.492506786768416 keV\n", - "Populating n20= 1.8031210180360668 , T= 17.3986884783491 keV\n", - "Populating n20= 0.944491961828416 , T= 14.000507134921541 keV\n", - "Populating n20= 2.3182984517606573 , T= 16.039415940978078 keV\n", - "Populating n20= 2.5758871686229527 , T= 16.039415940978078 keV\n", - "Populating n20= 1.2450121315010938 , T= 16.719052209663587 keV\n", - "Populating n20= 2.060709734898362 , T= 16.94559763255876 keV\n", - "Populating n20= 2.8334758854852478 , T= 16.719052209663587 keV\n", - "Populating n20= 1.502600848363389 , T= 24.195051165204216 keV\n", - "Populating n20= 0.944491961828416 , T= 14.227052557816712 keV\n", - "Populating n20= 2.3182984517606573 , T= 16.265961363873245 keV\n", - "Populating n20= 2.060709734898362 , T= 17.17214305545393 keV\n", - "Populating n20= 2.5758871686229527 , T= 16.265961363873245 keV\n", - "Populating n20= 2.8334758854852478 , T= 16.94559763255876 keV\n", - "Populating n20= 1.8031210180360668 , T= 17.625233901244272 keV\n", - "Populating n20= 1.502600848363389 , T= 24.421596588099387 keV\n", - "Populating n20= 0.944491961828416 , T= 14.453597980711884 keV\n", - "Populating n20= 2.3182984517606573 , T= 16.492506786768416 keV\n", - "Populating n20= 2.5758871686229527 , T= 16.492506786768416 keV\n", - "Populating n20= 2.060709734898362 , T= 17.3986884783491 keV\n", - "Populating n20= 2.8334758854852478 , T= 17.17214305545393 keV\n", - "Populating n20= 1.2450121315010938 , T= 16.94559763255876 keV\n", - "Populating n20= 1.5455323011737714 , T= 13.32087086623603 keV\n", - "Populating n20= 0.944491961828416 , T= 14.680143403607053 keV\n", - "Populating n20= 1.8031210180360668 , T= 17.851779324139443 keV\n", - "Populating n20= 2.060709734898362 , T= 17.625233901244272 keV\n", - "Populating n20= 2.8334758854852478 , T= 17.3986884783491 keV\n", - "Populating n20= 1.5455323011737714 , T= 13.5474162891312 keV\n", - "Populating n20= 0.944491961828416 , T= 14.906688826502224 keV\n", - "Populating n20= 1.8031210180360668 , T= 18.07832474703461 keV\n", - "Populating n20= 1.2450121315010938 , T= 17.17214305545393 keV\n", - "Populating n20= 2.060709734898362 , T= 17.851779324139443 keV\n", - "Populating n20= 2.8334758854852478 , T= 17.625233901244272 keV\n", - "Populating n20= 2.5758871686229527 , T= 16.719052209663587 keV\n", - "Populating n20= 1.5455323011737714 , T= 13.77396171202637 keV\n", - "Populating n20= 2.3182984517606573 , T= 16.719052209663587 keV\n", - "Populating n20= 1.8031210180360668 , T= 18.30487016992978 keV\n", - "Populating n20= 1.2450121315010938 , T= 17.3986884783491 keV\n", - "Populating n20= 0.944491961828416 , T= 15.133234249397393 keV\n", - "Populating n20= 2.060709734898362 , T= 18.07832474703461 keV\n", - "Populating n20= 2.8334758854852478 , T= 17.851779324139443 keV\n", - "Populating n20= 2.5758871686229527 , T= 16.94559763255876 keV\n", - "Populating n20= 2.3182984517606573 , T= 16.94559763255876 keV\n", - "Populating n20= 1.8031210180360668 , T= 18.531415592824953 keV\n", - "Populating n20= 1.2450121315010938 , T= 17.625233901244272 keV\n", - "Populating n20= 2.060709734898362 , T= 18.30487016992978 keV\n", - "Populating n20= 2.8334758854852478 , T= 18.07832474703461 keV\n", - "Populating n20= 2.5758871686229527 , T= 17.17214305545393 keV\n", - "Populating n20= 2.3182984517606573 , T= 17.17214305545393 keV\n", - "Populating n20= 1.8031210180360668 , T= 18.757961015720124 keV\n", - "Populating n20= 1.2450121315010938 , T= 17.851779324139443 keV\n", - "Populating n20= 2.060709734898362 , T= 18.531415592824953 keV\n", - "Populating n20= 1.5455323011737714 , T= 14.000507134921541 keV\n", - "Populating n20= 2.8334758854852478 , T= 18.30487016992978 keV\n", - "Populating n20= 2.5758871686229527 , T= 17.3986884783491 keV\n", - "Populating n20= 0.944491961828416 , T= 15.359779672292564 keV\n", - "Populating n20= 1.2450121315010938 , T= 18.07832474703461 keV\n", - "Populating n20= 1.8031210180360668 , T= 18.98450643861529 keV\n", - "Populating n20= 2.060709734898362 , T= 18.757961015720124 keV\n", - "Populating n20= 1.5455323011737714 , T= 14.227052557816712 keV\n", - "Populating n20= 2.8334758854852478 , T= 18.531415592824953 keV\n", - "Populating n20= 2.5758871686229527 , T= 17.625233901244272 keV\n", - "Populating n20= 2.3182984517606573 , T= 17.3986884783491 keV\n", - "Populating n20= 1.2450121315010938 , T= 18.30487016992978 keV\n", - "Populating n20= 1.8031210180360668 , T= 19.211051861510462 keV\n", - "Populating n20= 2.060709734898362 , T= 18.98450643861529 keV\n", - "Populating n20= 2.8334758854852478 , T= 18.757961015720124 keV\n", - "Populating n20= 1.5455323011737714 , T= 14.453597980711884 keV\n", - "Populating n20= 2.5758871686229527 , T= 17.851779324139443 keV\n", - "Populating n20= 1.8031210180360668 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2450121315010938 , T= 18.531415592824953 keV\n", - "Populating n20= 2.060709734898362 , T= 19.211051861510462 keV\n", - "Populating n20= 1.5455323011737714 , T= 14.680143403607053 keV\n", - "Populating n20= 0.944491961828416 , T= 15.586325095187735 keV\n", - "Populating n20= 2.5758871686229527 , T= 18.07832474703461 keV\n", - "Populating n20= 2.8334758854852478 , T= 18.98450643861529 keV\n", - "Populating n20= 1.8031210180360668 , T= 19.664142707300805 keV\n", - "Populating n20= 1.2450121315010938 , T= 18.757961015720124 keV\n", - "Populating n20= 2.060709734898362 , T= 19.437597284405634 keV\n", - "Populating n20= 1.5455323011737714 , T= 14.906688826502224 keV\n", - "Populating n20= 0.944491961828416 , T= 15.812870518082907 keV\n", - "Populating n20= 2.5758871686229527 , T= 18.30487016992978 keV\n", - "Populating n20= 2.3182984517606573 , T= 17.625233901244272 keV\n", - "Populating n20= 1.8031210180360668 , T= 19.890688130195976 keV\n", - "Populating n20= 1.2450121315010938 , T= 18.98450643861529 keV\n", - "Populating n20= 2.060709734898362 , T= 19.664142707300805 keV\n", - "Populating n20= 1.5455323011737714 , T= 15.133234249397393 keV\n", - "Populating n20= 0.944491961828416 , T= 16.039415940978078 keV\n", - "Populating n20= 2.5758871686229527 , T= 18.531415592824953 keV\n", - "Populating n20= 2.3182984517606573 , T= 17.851779324139443 keV\n", - "Populating n20= 2.060709734898362 , T= 19.890688130195976 keV\n", - "Populating n20= 1.5455323011737714 , T= 15.359779672292564 keV\n", - "Populating n20= 1.8031210180360668 , T= 20.117233553091147 keV\n", - "Populating n20= 0.944491961828416 , T= 16.265961363873245 keV\n", - "Populating n20= 2.8334758854852478 , T= 19.211051861510462 keV\n", - "Populating n20= 1.2450121315010938 , T= 19.211051861510462 keV\n", - "Populating n20= 2.3182984517606573 , T= 18.07832474703461 keV\n", - "Populating n20= 2.5758871686229527 , T= 18.757961015720124 keV\n", - "Populating n20= 2.060709734898362 , T= 20.117233553091147 keV\n", - "Populating n20= 1.5455323011737714 , T= 15.586325095187735 keV\n", - "Populating n20= 1.8031210180360668 , T= 20.343778975986318 keV\n", - "Populating n20= 0.944491961828416 , T= 16.492506786768416 keV\n", - "Populating n20= 2.8334758854852478 , T= 19.437597284405634 keV\n", - "Populating n20= 2.3182984517606573 , T= 18.30487016992978 keV\n", - "Populating n20= 2.060709734898362 , T= 20.343778975986318 keV\n", - "Populating n20= 1.8031210180360668 , T= 20.57032439888149 keV\n", - "Populating n20= 1.5455323011737714 , T= 15.812870518082907 keV\n", - "Populating n20= 0.944491961828416 , T= 16.719052209663587 keV\n", - "Populating n20= 2.3182984517606573 , T= 18.531415592824953 keV\n", - "Populating n20= 2.5758871686229527 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2450121315010938 , T= 19.437597284405634 keV\n", - "Populating n20= 2.060709734898362 , T= 20.57032439888149 keV\n", - "Populating n20= 1.8031210180360668 , T= 20.796869821776657 keV\n", - "Populating n20= 0.944491961828416 , T= 16.94559763255876 keV\n", - "Populating n20= 2.3182984517606573 , T= 18.757961015720124 keV\n", - "Populating n20= 1.2450121315010938 , T= 19.664142707300805 keV\n", - "Populating n20= 2.5758871686229527 , T= 19.211051861510462 keV\n", - "Populating n20= 2.060709734898362 , T= 20.796869821776657 keV\n", - "Populating n20= 1.8031210180360668 , T= 21.023415244671828 keV\n", - "Populating n20= 0.944491961828416 , T= 17.17214305545393 keV\n", - "Populating n20= 2.3182984517606573 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2450121315010938 , T= 19.890688130195976 keV\n", - "Populating n20= 2.5758871686229527 , T= 19.437597284405634 keV\n", - "Populating n20= 2.8334758854852478 , T= 19.664142707300805 keV\n", - "Populating n20= 1.8031210180360668 , T= 21.249960667567 keV\n", - "Populating n20= 2.060709734898362 , T= 21.023415244671828 keV\n", - "Populating n20= 0.944491961828416 , T= 17.3986884783491 keV\n", - "Populating n20= 2.3182984517606573 , T= 19.211051861510462 keV\n", - "Populating n20= 1.2450121315010938 , T= 20.117233553091147 keV\n", - "Populating n20= 2.5758871686229527 , T= 19.664142707300805 keV\n", - "Populating n20= 2.8334758854852478 , T= 19.890688130195976 keV\n", - "Populating n20= 1.5455323011737714 , T= 16.039415940978078 keV\n", - "Populating n20= 1.8031210180360668 , T= 21.47650609046217 keV\n", - "Populating n20= 0.944491961828416 , T= 17.625233901244272 keV\n", - "Populating n20= 2.3182984517606573 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2450121315010938 , T= 20.343778975986318 keV\n", - "Populating n20= 2.5758871686229527 , T= 19.890688130195976 keV\n", - "Populating n20= 2.8334758854852478 , T= 20.117233553091147 keV\n", - "Populating n20= 1.8031210180360668 , T= 21.703051513357337 keV\n", - "Populating n20= 0.944491961828416 , T= 17.851779324139443 keV\n", - "Populating n20= 1.5455323011737714 , T= 16.265961363873245 keV\n", - "Populating n20= 2.3182984517606573 , T= 19.664142707300805 keV\n", - "Populating n20= 2.8334758854852478 , T= 20.343778975986318 keV\n", - "Populating n20= 2.060709734898362 , T= 21.249960667567 keV\n", - "Populating n20= 1.2450121315010938 , T= 20.57032439888149 keV\n", - "Populating n20= 2.5758871686229527 , T= 20.117233553091147 keV\n", - "Populating n20= 1.8031210180360668 , T= 21.92959693625251 keV\n", - "Populating n20= 0.944491961828416 , T= 18.07832474703461 keV\n", - "Populating n20= 1.5455323011737714 , T= 16.492506786768416 keV\n", - "Populating n20= 2.3182984517606573 , T= 19.890688130195976 keV\n", - "Populating n20= 2.8334758854852478 , T= 20.57032439888149 keV\n", - "Populating n20= 1.2450121315010938 , T= 20.796869821776657 keV\n", - "Populating n20= 2.5758871686229527 , T= 20.343778975986318 keV\n", - "Populating n20= 0.944491961828416 , T= 18.30487016992978 keV\n", - "Populating n20= 1.5455323011737714 , T= 16.719052209663587 keV\n", - "Populating n20= 2.3182984517606573 , T= 20.117233553091147 keV\n", - "Populating n20= 2.8334758854852478 , T= 20.796869821776657 keV\n", - "Populating n20= 1.2450121315010938 , T= 21.023415244671828 keV\n", - "Populating n20= 2.5758871686229527 , T= 20.57032439888149 keV\n", - "Populating n20= 2.060709734898362 , T= 21.47650609046217 keV\n", - "Populating n20= 0.944491961828416 , T= 18.531415592824953 keV\n", - "Populating n20= 1.5455323011737714 , T= 16.94559763255876 keV\n", - "Populating n20= 2.8334758854852478 , T= 21.023415244671828 keV\n", - "Populating n20= 1.2450121315010938 , T= 21.249960667567 keV\n", - "Populating n20= 2.5758871686229527 , T= 20.796869821776657 keV\n", - "Populating n20= 2.060709734898362 , T= 21.703051513357337 keV\n", - "Populating n20= 1.5455323011737714 , T= 17.17214305545393 keV\n", - "Populating n20= 2.3182984517606573 , T= 20.343778975986318 keV\n", - "Populating n20= 1.8031210180360668 , T= 22.15614235914768 keV\n", - "Populating n20= 0.944491961828416 , T= 18.757961015720124 keV\n", - "Populating n20= 2.8334758854852478 , T= 21.249960667567 keV\n", - "Populating n20= 1.2450121315010938 , T= 21.47650609046217 keV\n", - "Populating n20= 2.5758871686229527 , T= 21.023415244671828 keV\n", - "Populating n20= 2.060709734898362 , T= 21.92959693625251 keV\n", - "Populating n20= 1.5455323011737714 , T= 17.3986884783491 keV\n", - "Populating n20= 1.8031210180360668 , T= 22.38268778204285 keV\n", - "Populating n20= 0.944491961828416 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2450121315010938 , T= 21.703051513357337 keV\n", - "Populating n20= 2.3182984517606573 , T= 20.57032439888149 keV\n", - "Populating n20= 2.060709734898362 , T= 22.15614235914768 keV\n", - "Populating n20= 1.5455323011737714 , T= 17.625233901244272 keV\n", - "Populating n20= 1.8031210180360668 , T= 22.609233204938022 keV\n", - "Populating n20= 0.944491961828416 , T= 19.211051861510462 keV\n", - "Populating n20= 1.2450121315010938 , T= 21.92959693625251 keV\n", - "Populating n20= 2.5758871686229527 , T= 21.249960667567 keV\n", - "Populating n20= 2.3182984517606573 , T= 20.796869821776657 keV\n", - "Populating n20= 2.060709734898362 , T= 22.38268778204285 keV\n", - "Populating n20= 1.5455323011737714 , T= 17.851779324139443 keV\n", - "Populating n20= 1.8031210180360668 , T= 22.835778627833193 keV\n", - "Populating n20= 2.8334758854852478 , T= 21.47650609046217 keV\n", - "Populating n20= 0.944491961828416 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2450121315010938 , T= 22.15614235914768 keV\n", - "Populating n20= 2.5758871686229527 , T= 21.47650609046217 keV\n", - "Populating n20= 2.3182984517606573 , T= 21.023415244671828 keV\n", - "Populating n20= 1.5455323011737714 , T= 18.07832474703461 keV\n", - "Populating n20= 1.8031210180360668 , T= 23.062324050728364 keV\n", - "Populating n20= 0.944491961828416 , T= 19.664142707300805 keV\n", - "Populating n20= 2.060709734898362 , T= 22.609233204938022 keV\n", - "Populating n20= 2.5758871686229527 , T= 21.703051513357337 keV\n", - "Populating n20= 2.3182984517606573 , T= 21.249960667567 keV\n", - "Populating n20= 1.5455323011737714 , T= 18.30487016992978 keV\n", - "Populating n20= 1.8031210180360668 , T= 23.288869473623535 keV\n", - "Populating n20= 0.944491961828416 , T= 19.890688130195976 keV\n", - "Populating n20= 2.060709734898362 , T= 22.835778627833193 keV\n", - "Populating n20= 2.8334758854852478 , T= 21.703051513357337 keV\n", - "Populating n20= 1.2450121315010938 , T= 22.38268778204285 keV\n", - "Populating n20= 2.5758871686229527 , T= 21.92959693625251 keV\n", - "Populating n20= 1.5455323011737714 , T= 18.531415592824953 keV\n", - "Populating n20= 2.3182984517606573 , T= 21.47650609046217 keV\n", - "Populating n20= 1.8031210180360668 , T= 23.515414896518706 keV\n", - "Populating n20= 0.944491961828416 , T= 20.117233553091147 keV\n", - "Populating n20= 1.5455323011737714 , T= 18.757961015720124 keV\n", - "Populating n20= 1.8031210180360668 , T= 23.741960319413877 keV\n", - "Populating n20= 2.3182984517606573 , T= 21.703051513357337 keV\n", - "Populating n20= 2.5758871686229527 , T= 22.15614235914768 keV\n", - "Populating n20= 0.944491961828416 , T= 20.343778975986318 keV\n", - "Populating n20= 1.2450121315010938 , T= 22.609233204938022 keV\n", - "Populating n20= 2.060709734898362 , T= 23.062324050728364 keV\n", - "Populating n20= 1.5455323011737714 , T= 18.98450643861529 keV\n", - "Populating n20= 2.8334758854852478 , T= 21.92959693625251 keV\n", - "Populating n20= 2.3182984517606573 , T= 21.92959693625251 keV\n", - "Populating n20= 2.5758871686229527 , T= 22.38268778204285 keV\n", - "Populating n20= 0.944491961828416 , T= 20.57032439888149 keV\n", - "Populating n20= 1.2450121315010938 , T= 22.835778627833193 keV\n", - "Populating n20= 2.060709734898362 , T= 23.288869473623535 keV\n", - "Populating n20= 1.8031210180360668 , T= 23.968505742309045 keV\n", - "Populating n20= 1.5455323011737714 , T= 19.211051861510462 keV\n", - "Populating n20= 2.8334758854852478 , T= 22.15614235914768 keV\n", - "Populating n20= 2.3182984517606573 , T= 22.15614235914768 keV\n", - "Populating n20= 2.5758871686229527 , T= 22.609233204938022 keV\n", - "Populating n20= 2.060709734898362 , T= 23.515414896518706 keV\n", - "Populating n20= 1.5455323011737714 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2450121315010938 , T= 23.062324050728364 keV\n", - "Populating n20= 1.8031210180360668 , T= 24.195051165204216 keV\n", - "Populating n20= 2.3182984517606573 , T= 22.38268778204285 keV\n", - "Populating n20= 2.5758871686229527 , T= 22.835778627833193 keV\n", - "Populating n20= 2.060709734898362 , T= 23.741960319413877 keV\n", - "Populating n20= 1.5455323011737714 , T= 19.664142707300805 keV\n", - "Populating n20= 1.2450121315010938 , T= 23.288869473623535 keV\n", - "Populating n20= 1.8031210180360668 , T= 24.421596588099387 keV\n", - "Populating n20= 2.3182984517606573 , T= 22.609233204938022 keV\n", - "Populating n20= 2.5758871686229527 , T= 23.062324050728364 keV\n", - "Populating n20= 2.060709734898362 , T= 23.968505742309045 keV\n", - "Populating n20= 0.944491961828416 , T= 20.796869821776657 keV\n", - "Populating n20= 2.8334758854852478 , T= 22.38268778204285 keV\n", - "Populating n20= 1.5455323011737714 , T= 19.890688130195976 keV\n", - "Populating n20= 1.2450121315010938 , T= 23.515414896518706 keV\n", - "Populating n20= 2.3182984517606573 , T= 22.835778627833193 keV\n", - "Populating n20= 2.5758871686229527 , T= 23.288869473623535 keV\n", - "Populating n20= 1.8460524708464492 , T= 13.32087086623603 keV\n", - "Populating n20= 2.060709734898362 , T= 24.195051165204216 keV\n", - "Populating n20= 2.8334758854852478 , T= 22.609233204938022 keV\n", - "Populating n20= 1.5455323011737714 , T= 20.117233553091147 keV\n", - "Populating n20= 1.2450121315010938 , T= 23.741960319413877 keV\n", - "Populating n20= 2.3182984517606573 , T= 23.062324050728364 keV\n", - "Populating n20= 2.5758871686229527 , T= 23.515414896518706 keV\n", - "Populating n20= 2.060709734898362 , T= 24.421596588099387 keV\n", - "Populating n20= 2.8334758854852478 , T= 22.835778627833193 keV\n", - "Populating n20= 1.5455323011737714 , T= 20.343778975986318 keV\n", - "Populating n20= 0.944491961828416 , T= 21.023415244671828 keV\n", - "Populating n20= 1.2450121315010938 , T= 23.968505742309045 keV\n", - "Populating n20= 2.3182984517606573 , T= 23.288869473623535 keV\n", - "Populating n20= 2.5758871686229527 , T= 23.741960319413877 keV\n", - "Populating n20= 2.1036411877087446 , T= 13.32087086623603 keV\n", - "Populating n20= 1.8460524708464492 , T= 13.5474162891312 keV\n", - "Populating n20= 2.8334758854852478 , T= 23.062324050728364 keV\n", - "Populating n20= 1.5455323011737714 , T= 20.57032439888149 keV\n", - "Populating n20= 1.2450121315010938 , T= 24.195051165204216 keV\n", - "Populating n20= 2.5758871686229527 , T= 23.968505742309045 keV\n", - "Populating n20= 2.1036411877087446 , T= 13.5474162891312 keV\n", - "Populating n20= 1.8460524708464492 , T= 13.77396171202637 keV\n", - "Populating n20= 0.944491961828416 , T= 21.249960667567 keV\n", - "Populating n20= 2.8334758854852478 , T= 23.288869473623535 keV\n", - "Populating n20= 1.5455323011737714 , T= 20.796869821776657 keV\n", - "Populating n20= 2.5758871686229527 , T= 24.195051165204216 keV\n", - "Populating n20= 2.3182984517606573 , T= 23.515414896518706 keV\n", - "Populating n20= 2.1036411877087446 , T= 13.77396171202637 keV\n", - "Populating n20= 1.8460524708464492 , T= 14.000507134921541 keV\n", - "Populating n20= 0.944491961828416 , T= 21.47650609046217 keV\n", - "Populating n20= 2.8334758854852478 , T= 23.515414896518706 keV\n", - "Populating n20= 1.5455323011737714 , T= 21.023415244671828 keV\n", - "Populating n20= 2.5758871686229527 , T= 24.421596588099387 keV\n", - "Populating n20= 2.1036411877087446 , T= 14.000507134921541 keV\n", - "Populating n20= 1.2450121315010938 , T= 24.421596588099387 keV\n", - "Populating n20= 1.8460524708464492 , T= 14.227052557816712 keV\n", - "Populating n20= 0.944491961828416 , T= 21.703051513357337 keV\n", - "Populating n20= 2.8334758854852478 , T= 23.741960319413877 keV\n", - "Populating n20= 1.5455323011737714 , T= 21.249960667567 keV\n", - "Populating n20= 2.1036411877087446 , T= 14.227052557816712 keV\n", - "Populating n20= 1.2879435843114764 , T= 13.32087086623603 keV\n", - "Populating n20= 1.8460524708464492 , T= 14.453597980711884 keV\n", - "Populating n20= 0.944491961828416 , T= 21.92959693625251 keV\n", - "Populating n20= 2.3182984517606573 , T= 23.741960319413877 keV\n", - "Populating n20= 2.8334758854852478 , T= 23.968505742309045 keV\n", - "Populating n20= 1.5455323011737714 , T= 21.47650609046217 keV\n", - "Populating n20= 2.1036411877087446 , T= 14.453597980711884 keV\n", - "Populating n20= 2.618818621433335 , T= 13.32087086623603 keV\n", - "Populating n20= 1.2879435843114764 , T= 13.5474162891312 keV\n", - "Populating n20= 1.8460524708464492 , T= 14.680143403607053 keV\n", - "Populating n20= 0.944491961828416 , T= 22.15614235914768 keV\n", - "Populating n20= 2.3182984517606573 , T= 23.968505742309045 keV\n", - "Populating n20= 2.8334758854852478 , T= 24.195051165204216 keV\n", - "Populating n20= 2.1036411877087446 , T= 14.680143403607053 keV\n", - "Populating n20= 1.8460524708464492 , T= 14.906688826502224 keV\n", - "Populating n20= 1.2879435843114764 , T= 13.77396171202637 keV\n", - "Populating n20= 0.944491961828416 , T= 22.38268778204285 keV\n", - "Populating n20= 2.3182984517606573 , T= 24.195051165204216 keV\n", - "Populating n20= 2.8334758854852478 , T= 24.421596588099387 keV\n", - "Populating n20= 2.1036411877087446 , T= 14.906688826502224 keV\n", - "Populating n20= 1.8460524708464492 , T= 15.133234249397393 keV\n", - "Populating n20= 1.2879435843114764 , T= 14.000507134921541 keV\n", - "Populating n20= 0.944491961828416 , T= 22.609233204938022 keV\n", - "Populating n20= 2.3182984517606573 , T= 24.421596588099387 keV\n", - "Populating n20= 2.87640733829563 , T= 13.32087086623603 keV\n", - "Populating n20= 1.5455323011737714 , T= 21.703051513357337 keV\n", - "Populating n20= 2.1036411877087446 , T= 15.133234249397393 keV\n", - "Populating n20= 1.8460524708464492 , T= 15.359779672292564 keV\n", - "Populating n20= 1.2879435843114764 , T= 14.227052557816712 keV\n", - "Populating n20= 2.618818621433335 , T= 13.5474162891312 keV\n", - "Populating n20= 2.36122990457104 , T= 13.32087086623603 keV\n", - "Populating n20= 2.87640733829563 , T= 13.5474162891312 keV\n", - "Populating n20= 0.944491961828416 , T= 22.835778627833193 keV\n", - "Populating n20= 2.1036411877087446 , T= 15.359779672292564 keV\n", - "Populating n20= 1.8460524708464492 , T= 15.586325095187735 keV\n", - "Populating n20= 1.2879435843114764 , T= 14.453597980711884 keV\n", - "Populating n20= 2.618818621433335 , T= 13.77396171202637 keV\n", - "Populating n20= 2.36122990457104 , T= 13.5474162891312 keV\n", - "Populating n20= 2.87640733829563 , T= 13.77396171202637 keV\n", - "Populating n20= 2.1036411877087446 , T= 15.586325095187735 keV\n", - "Populating n20= 1.8460524708464492 , T= 15.812870518082907 keV\n", - "Populating n20= 1.2879435843114764 , T= 14.680143403607053 keV\n", - "Populating n20= 2.618818621433335 , T= 14.000507134921541 keV\n", - "Populating n20= 2.36122990457104 , T= 13.77396171202637 keV\n", - "Populating n20= 2.87640733829563 , T= 14.000507134921541 keV\n", - "Populating n20= 1.5455323011737714 , T= 21.92959693625251 keV\n", - "Populating n20= 0.944491961828416 , T= 23.062324050728364 keV\n", - "Populating n20= 2.1036411877087446 , T= 15.812870518082907 keV\n", - "Populating n20= 1.2879435843114764 , T= 14.906688826502224 keV\n", - "Populating n20= 2.618818621433335 , T= 14.227052557816712 keV\n", - "Populating n20= 2.87640733829563 , T= 14.227052557816712 keV\n", - "Populating n20= 2.36122990457104 , T= 14.000507134921541 keV\n", - "Populating n20= 1.8460524708464492 , T= 16.039415940978078 keV\n", - "Populating n20= 0.944491961828416 , T= 23.288869473623535 keV\n", - "Populating n20= 2.1036411877087446 , T= 16.039415940978078 keV\n", - "Populating n20= 1.2879435843114764 , T= 15.133234249397393 keV\n", - "Populating n20= 2.618818621433335 , T= 14.453597980711884 keV\n", - "Populating n20= 2.87640733829563 , T= 14.453597980711884 keV\n", - "Populating n20= 2.36122990457104 , T= 14.227052557816712 keV\n", - "Populating n20= 0.944491961828416 , T= 23.515414896518706 keV\n", - "Populating n20= 2.1036411877087446 , T= 16.265961363873245 keV\n", - "Populating n20= 1.2879435843114764 , T= 15.359779672292564 keV\n", - "Populating n20= 2.618818621433335 , T= 14.680143403607053 keV\n", - "Populating n20= 1.5455323011737714 , T= 22.15614235914768 keV\n", - "Populating n20= 2.87640733829563 , T= 14.680143403607053 keV\n", - "Populating n20= 2.36122990457104 , T= 14.453597980711884 keV\n", - "Populating n20= 1.8460524708464492 , T= 16.265961363873245 keV\n", - "Populating n20= 0.944491961828416 , T= 23.741960319413877 keV\n", - "Populating n20= 1.2879435843114764 , T= 15.586325095187735 keV\n", - "Populating n20= 2.618818621433335 , T= 14.906688826502224 keV\n", - "Populating n20= 2.87640733829563 , T= 14.906688826502224 keV\n", - "Populating n20= 2.36122990457104 , T= 14.680143403607053 keV\n", - "Populating n20= 1.8460524708464492 , T= 16.492506786768416 keV\n", - "Populating n20= 0.944491961828416 , T= 23.968505742309045 keV\n", - "Populating n20= 1.2879435843114764 , T= 15.812870518082907 keV\n", - "Populating n20= 2.618818621433335 , T= 15.133234249397393 keV\n", - "Populating n20= 2.87640733829563 , T= 15.133234249397393 keV\n", - "Populating n20= 2.36122990457104 , T= 14.906688826502224 keV\n", - "Populating n20= 1.8460524708464492 , T= 16.719052209663587 keV\n", - "Populating n20= 2.1036411877087446 , T= 16.492506786768416 keV\n", - "Populating n20= 0.944491961828416 , T= 24.195051165204216 keV\n", - "Populating n20= 1.5455323011737714 , T= 22.38268778204285 keV\n", - "Populating n20= 1.2879435843114764 , T= 16.039415940978078 keV\n", - "Populating n20= 2.618818621433335 , T= 15.359779672292564 keV\n", - "Populating n20=Populating n20= 2.87640733829563 , T= 15.359779672292564 keV\n", - " 1.8460524708464492 , T= 16.94559763255876 keV\n", - "Populating n20= 0.944491961828416 , T= 24.421596588099387 keV\n", - "Populating n20= 1.5455323011737714 , T= 22.609233204938022 keV\n", - "Populating n20= 2.36122990457104 , T= 15.133234249397393 keV\n", - "Populating n20= 1.2879435843114764 , T= 16.265961363873245 keV\n", - "Populating n20= 2.618818621433335 , T= 15.586325095187735 keV\n", - "Populating n20= 2.1036411877087446 , T= 16.719052209663587 keV\n", - "Populating n20= 1.8460524708464492 , T= 17.17214305545393 keV\n", - "Populating n20= 0.9874234146387985 , T= 13.32087086623603 keV\n", - "Populating n20= 1.5455323011737714 , T= 22.835778627833193 keV\n", - "Populating n20= 1.2879435843114764 , T= 16.492506786768416 keV\n", - "Populating n20= 2.618818621433335 , T= 15.812870518082907 keV\n", - "Populating n20= 2.1036411877087446 , T= 16.94559763255876 keV\n", - "Populating n20= 1.8460524708464492 , T= 17.3986884783491 keV\n", - "Populating n20= 0.9874234146387985 , T= 13.5474162891312 keV\n", - "Populating n20= 1.2879435843114764 , T= 16.719052209663587 keV\n", - "Populating n20= 2.618818621433335 , T= 16.039415940978078 keV\n", - "Populating n20= 2.87640733829563 , T= 15.586325095187735 keV\n", - "Populating n20= 1.5455323011737714 , T= 23.062324050728364 keV\n", - "Populating n20= 2.36122990457104 , T= 15.359779672292564 keV\n", - "Populating n20= 2.1036411877087446 , T= 17.17214305545393 keV\n", - "Populating n20= 1.8460524708464492 , T= 17.625233901244272 keV\n", - "Populating n20= 0.9874234146387985 , T= 13.77396171202637 keV\n", - "Populating n20= 2.618818621433335 , T= 16.265961363873245 keV\n", - "Populating n20= 1.2879435843114764 , T= 16.94559763255876 keV\n", - "Populating n20= 2.87640733829563 , T= 15.812870518082907 keV\n", - "Populating n20= 2.1036411877087446 , T= 17.3986884783491 keV\n", - "Populating n20= 1.8460524708464492 , T= 17.851779324139443 keV\n", - "Populating n20= 1.5455323011737714 , T= 23.288869473623535 keV\n", - "Populating n20= 0.9874234146387985 , T= 14.000507134921541 keV\n", - "Populating n20= 2.618818621433335 , T= 16.492506786768416 keV\n", - "Populating n20= 2.87640733829563 , T= 16.039415940978078 keV\n", - "Populating n20= 2.1036411877087446 , T= 17.625233901244272 keV\n", - "Populating n20= 1.2879435843114764 , T= 17.17214305545393 keV\n", - "Populating n20= 1.8460524708464492 , T= 18.07832474703461 keV\n", - "Populating n20= 1.5455323011737714 , T= 23.515414896518706 keV\n", - "Populating n20= 0.9874234146387985 , T= 14.227052557816712 keV\n", - "Populating n20= 2.618818621433335 , T= 16.719052209663587 keV\n", - "Populating n20= 2.36122990457104 , T= 15.586325095187735 keV\n", - "Populating n20= 2.1036411877087446 , T= 17.851779324139443 keV\n", - "Populating n20= 1.2879435843114764 , T= 17.3986884783491 keV\n", - "Populating n20= 1.8460524708464492 , T= 18.30487016992978 keV\n", - "Populating n20= 0.9874234146387985 , T= 14.453597980711884 keV\n", - "Populating n20= 2.618818621433335 , T= 16.94559763255876 keV\n", - "Populating n20= 2.36122990457104 , T= 15.812870518082907 keV\n", - "Populating n20= 2.87640733829563 , T= 16.265961363873245 keV\n", - "Populating n20= 1.5455323011737714 , T= 23.741960319413877 keV\n", - "Populating n20= 1.2879435843114764 , T= 17.625233901244272 keV\n", - "Populating n20= 2.36122990457104 , T= 16.039415940978078 keV\n", - "Populating n20= 1.8460524708464492 , T= 18.531415592824953 keV\n", - "Populating n20= 2.1036411877087446 , T= 18.07832474703461 keV\n", - "Populating n20= 2.618818621433335 , T= 17.17214305545393 keV\n", - "Populating n20= 0.9874234146387985 , T= 14.680143403607053 keV\n", - "Populating n20= 1.2879435843114764 , T= 17.851779324139443 keV\n", - "Populating n20= 2.36122990457104 , T= 16.265961363873245 keV\n", - "Populating n20= 1.8460524708464492 , T= 18.757961015720124 keV\n", - "Populating n20= 2.618818621433335 , T= 17.3986884783491 keV\n", - "Populating n20= 2.87640733829563 , T= 16.492506786768416 keV\n", - "Populating n20= 0.9874234146387985 , T= 14.906688826502224 keV\n", - "Populating n20= 1.2879435843114764 , T= 18.07832474703461 keV\n", - "Populating n20= 2.36122990457104 , T= 16.492506786768416 keV\n", - "Populating n20= 1.8460524708464492 , T= 18.98450643861529 keV\n", - "Populating n20= 2.1036411877087446 , T= 18.30487016992978 keV\n", - "Populating n20= 2.618818621433335 , T= 17.625233901244272 keV\n", - "Populating n20= 1.2879435843114764 , T= 18.30487016992978 keV\n", - "Populating n20= 0.9874234146387985 , T= 15.133234249397393 keV\n", - "Populating n20= 2.87640733829563 , T= 16.719052209663587 keV\n", - "Populating n20= 1.5455323011737714 , T= 23.968505742309045 keV\n", - "Populating n20= 1.8460524708464492 , T= 19.211051861510462 keV\n", - "Populating n20= 2.1036411877087446 , T= 18.531415592824953 keV\n", - "Populating n20= 2.618818621433335 , T= 17.851779324139443 keV\n", - "Populating n20= 0.9874234146387985 , T= 15.359779672292564 keV\n", - "Populating n20= 1.2879435843114764 , T= 18.531415592824953 keV\n", - "Populating n20= 2.87640733829563 , T= 16.94559763255876 keV\n", - "Populating n20= 1.8460524708464492 , T= 19.437597284405634 keV\n", - "Populating n20= 2.1036411877087446 , T= 18.757961015720124 keV\n", - "Populating n20= 2.618818621433335 , T= 18.07832474703461 keV\n", - "Populating n20= 0.9874234146387985 , T= 15.586325095187735 keV\n", - "Populating n20= 1.2879435843114764 , T= 18.757961015720124 keV\n", - "Populating n20= 2.87640733829563 , T= 17.17214305545393 keV\n", - "Populating n20= 1.8460524708464492 , T= 19.664142707300805 keV\n", - "Populating n20= 2.36122990457104 , T= 16.719052209663587 keV\n", - "Populating n20= 2.618818621433335 , T= 18.30487016992978 keV\n", - "Populating n20= 1.5455323011737714 , T= 24.195051165204216 keV\n", - "Populating n20= 0.9874234146387985 , T= 15.812870518082907 keV\n", - "Populating n20= 2.87640733829563 , T= 17.3986884783491 keV\n", - "Populating n20= 1.2879435843114764 , T= 18.98450643861529 keV\n", - "Populating n20= 2.1036411877087446 , T= 18.98450643861529 keV\n", - "Populating n20= 1.8460524708464492 , T= 19.890688130195976 keV\n", - "Populating n20= 2.618818621433335 , T= 18.531415592824953 keV\n", - "Populating n20= 1.5455323011737714 , T= 24.421596588099387 keV\n", - "Populating n20= 0.9874234146387985 , T= 16.039415940978078 keV\n", - "Populating n20= 2.87640733829563 , T= 17.625233901244272 keV\n", - "Populating n20= 1.2879435843114764 , T= 19.211051861510462 keV\n", - "Populating n20= 1.8460524708464492 , T= 20.117233553091147 keV\n", - "Populating n20= 2.618818621433335 , T= 18.757961015720124 keV\n", - "Populating n20= 1.5884637539841542 , T= 13.32087086623603 keV\n", - "Populating n20= 0.9874234146387985 , T= 16.265961363873245 keV\n", - "Populating n20= 2.87640733829563 , T= 17.851779324139443 keV\n", - "Populating n20= 2.36122990457104 , T= 16.94559763255876 keV\n", - "Populating n20= 1.2879435843114764 , T= 19.437597284405634 keV\n", - "Populating n20= 1.8460524708464492 , T= 20.343778975986318 keV\n", - "Populating n20= 2.1036411877087446 , T= 19.211051861510462 keV\n", - "Populating n20= 2.618818621433335 , T= 18.98450643861529 keV\n", - "Populating n20= 1.5884637539841542 , T= 13.5474162891312 keV\n", - "Populating n20= 2.87640733829563 , T= 18.07832474703461 keV\n", - "Populating n20= 2.36122990457104 , T= 17.17214305545393 keV\n", - "Populating n20= 1.2879435843114764 , T= 19.664142707300805 keV\n", - "Populating n20= 1.8460524708464492 , T= 20.57032439888149 keV\n", - "Populating n20= 2.618818621433335 , T= 19.211051861510462 keV\n", - "Populating n20= 1.5884637539841542 , T= 13.77396171202637 keV\n", - "Populating n20= 2.87640733829563 , T= 18.30487016992978 keV\n", - "Populating n20= 2.36122990457104 , T= 17.3986884783491 keV\n", - "Populating n20= 1.2879435843114764 , T= 19.890688130195976 keV\n", - "Populating n20= 1.8460524708464492 , T= 20.796869821776657 keV\n", - "Populating n20= 0.9874234146387985 , T= 16.492506786768416 keV\n", - "Populating n20= 1.5884637539841542 , T= 14.000507134921541 keV\n", - "Populating n20= 2.1036411877087446 , T= 19.437597284405634 keV\n", - "Populating n20= 2.87640733829563 , T= 18.531415592824953 keV\n", - "Populating n20= 2.36122990457104 , T= 17.625233901244272 keV\n", - "Populating n20= 2.618818621433335 , T= 19.437597284405634 keV\n", - "Populating n20= 1.8460524708464492 , T= 21.023415244671828 keV\n", - "Populating n20= 0.9874234146387985 , T= 16.719052209663587 keV\n", - "Populating n20= 1.5884637539841542 , T= 14.227052557816712 keV\n", - "Populating n20= 2.1036411877087446 , T= 19.664142707300805 keV\n", - "Populating n20= 2.87640733829563 , T= 18.757961015720124 keV\n", - "Populating n20= 2.36122990457104 , T= 17.851779324139443 keV\n", - "Populating n20= 1.2879435843114764 , T= 20.117233553091147 keV\n", - "Populating n20= 1.8460524708464492 , T= 21.249960667567 keV\n", - "Populating n20= 0.9874234146387985 , T= 16.94559763255876 keV\n", - "Populating n20= 1.5884637539841542 , T= 14.453597980711884 keV\n", - "Populating n20= 2.1036411877087446 , T= 19.890688130195976 keV\n", - "Populating n20= 2.87640733829563 , T= 18.98450643861529 keV\n", - "Populating n20= 2.36122990457104 , T= 18.07832474703461 keV\n", - "Populating n20= 1.2879435843114764 , T= 20.343778975986318 keV\n", - "Populating n20= 2.618818621433335 , T= 19.664142707300805 keV\n", - "Populating n20= 0.9874234146387985 , T= 17.17214305545393 keV\n", - "Populating n20= 1.5884637539841542 , T= 14.680143403607053 keV\n", - "Populating n20= 2.1036411877087446 , T= 20.117233553091147 keV\n", - "Populating n20= 2.87640733829563 , T= 19.211051861510462 keV\n", - "Populating n20= 1.2879435843114764 , T= 20.57032439888149 keV\n", - "Populating n20= 2.618818621433335 , T= 19.890688130195976 keV\n", - "Populating n20= 0.9874234146387985 , T= 17.3986884783491 keV\n", - "Populating n20= 1.5884637539841542 , T= 14.906688826502224 keV\n", - "Populating n20= 2.1036411877087446 , T= 20.343778975986318 keV\n", - "Populating n20= 1.8460524708464492 , T= 21.47650609046217 keV\n", - "Populating n20= 2.87640733829563 , T= 19.437597284405634 keV\n", - "Populating n20= 1.2879435843114764 , T= 20.796869821776657 keV\n", - "Populating n20= 2.618818621433335 , T= 20.117233553091147 keV\n", - "Populating n20= 1.5884637539841542 , T= 15.133234249397393 keV\n", - "Populating n20= 2.1036411877087446 , T= 20.57032439888149 keV\n", - "Populating n20= 1.8460524708464492 , T= 21.703051513357337 keV\n", - "Populating n20= 2.87640733829563 , T= 19.664142707300805 keV\n", - "Populating n20= 2.36122990457104 , T= 18.30487016992978 keV\n", - "Populating n20= 0.9874234146387985 , T= 17.625233901244272 keV\n", - "Populating n20= 1.2879435843114764 , T= 21.023415244671828 keV\n", - "Populating n20= 2.618818621433335 , T= 20.343778975986318 keV\n", - "Populating n20= 1.5884637539841542 , T= 15.359779672292564 keV\n", - "Populating n20= 1.8460524708464492 , T= 21.92959693625251 keV\n", - "Populating n20= 2.87640733829563 , T= 19.890688130195976 keV\n", - "Populating n20= 0.9874234146387985 , T= 17.851779324139443 keV\n", - "Populating n20= 1.2879435843114764 , T= 21.249960667567 keV\n", - "Populating n20= 2.618818621433335 , T= 20.57032439888149 keV\n", - "Populating n20= 1.5884637539841542 , T= 15.586325095187735 keV\n", - "Populating n20= 1.8460524708464492 , T= 22.15614235914768 keV\n", - "Populating n20= 2.87640733829563 , T= 20.117233553091147 keV\n", - "Populating n20= 0.9874234146387985 , T= 18.07832474703461 keV\n", - "Populating n20= 1.2879435843114764 , T= 21.47650609046217 keV\n", - "Populating n20= 2.618818621433335 , T= 20.796869821776657 keV\n", - "Populating n20= 2.36122990457104 , T= 18.531415592824953 keV\n", - "Populating n20= 1.5884637539841542 , T= 15.812870518082907 keV\n", - "Populating n20= 1.8460524708464492 , T= 22.38268778204285 keV\n", - "Populating n20= 2.1036411877087446 , T= 20.796869821776657 keV\n", - "Populating n20= 0.9874234146387985 , T= 18.30487016992978 keV\n", - "Populating n20= 2.87640733829563 , T= 20.343778975986318 keV\n", - "Populating n20= 1.2879435843114764 , T= 21.703051513357337 keV\n", - "Populating n20= 2.618818621433335 , T= 21.023415244671828 keV\n", - "Populating n20= 2.36122990457104 , T= 18.757961015720124 keV\n", - "Populating n20= 1.5884637539841542 , T= 16.039415940978078 keV\n", - "Populating n20= 1.8460524708464492 , T= 22.609233204938022 keV\n", - "Populating n20= 0.9874234146387985 , T= 18.531415592824953 keV\n", - "Populating n20= 1.2879435843114764 , T= 21.92959693625251 keV\n", - "Populating n20= 2.618818621433335 , T= 21.249960667567 keV\n", - "Populating n20= 2.36122990457104 , T= 18.98450643861529 keV\n", - "Populating n20= 1.5884637539841542 , T= 16.265961363873245 keV\n", - "Populating n20= 1.8460524708464492 , T= 22.835778627833193 keV\n", - "Populating n20= 0.9874234146387985 , T= 18.757961015720124 keV\n", - "Populating n20= 2.1036411877087446 , T= 21.023415244671828 keV\n", - "Populating n20= 2.87640733829563 , T= 20.57032439888149 keV\n", - "Populating n20= 2.618818621433335 , T= 21.47650609046217 keV\n", - "Populating n20= 2.36122990457104 , T= 19.211051861510462 keV\n", - "Populating n20= 1.5884637539841542 , T= 16.492506786768416 keV\n", - "Populating n20= 1.8460524708464492 , T= 23.062324050728364 keV\n", - "Populating n20= 0.9874234146387985 , T= 18.98450643861529 keV\n", - "Populating n20= 1.2879435843114764 , T= 22.15614235914768 keV\n", - "Populating n20= 2.618818621433335 , T= 21.703051513357337 keV\n", - "Populating n20= 2.36122990457104 , T= 19.437597284405634 keV\n", - "Populating n20= 1.5884637539841542 , T= 16.719052209663587 keV\n", - "Populating n20= 2.87640733829563 , T= 20.796869821776657 keV\n", - "Populating n20= 1.8460524708464492 , T= 23.288869473623535 keV\n", - "Populating n20= 0.9874234146387985 , T= 19.211051861510462 keV\n", - "Populating n20= 2.618818621433335 , T= 21.92959693625251 keV\n", - "Populating n20= 2.36122990457104 , T= 19.664142707300805 keV\n", - "Populating n20= 1.5884637539841542 , T= 16.94559763255876 keV\n", - "Populating n20= 2.87640733829563 , T= 21.023415244671828 keV\n", - "Populating n20= 1.8460524708464492 , T= 23.515414896518706 keV\n", - "Populating n20= 2.1036411877087446 , T= 21.249960667567 keV\n", - "Populating n20= 0.9874234146387985 , T= 19.437597284405634 keV\n", - "Populating n20= 2.618818621433335 , T= 22.15614235914768 keV\n", - "Populating n20= 1.5884637539841542 , T= 17.17214305545393 keV\n", - "Populating n20= 2.36122990457104 , T= 19.890688130195976 keV\n", - "Populating n20= 1.8460524708464492 , T= 23.741960319413877 keV\n", - "Populating n20= 2.1036411877087446 , T= 21.47650609046217 keV\n", - "Populating n20= 0.9874234146387985 , T= 19.664142707300805 keV\n", - "Populating n20= 2.618818621433335 , T= 22.38268778204285 keV\n", - "Populating n20= 1.2879435843114764 , T= 22.38268778204285 keV\n", - "Populating n20= 1.5884637539841542 , T= 17.3986884783491 keV\n", - "Populating n20= 2.36122990457104 , T= 20.117233553091147 keV\n", - "Populating n20= 1.8460524708464492 , T= 23.968505742309045 keV\n", - "Populating n20= 2.1036411877087446 , T= 21.703051513357337 keV\n", - "Populating n20= 0.9874234146387985 , T= 19.890688130195976 keV\n", - "Populating n20= 1.2879435843114764 , T= 22.609233204938022 keV\n", - "Populating n20= 2.87640733829563 , T= 21.249960667567 keV\n", - "Populating n20= 2.36122990457104 , T= 20.343778975986318 keV\n", - "Populating n20= 1.5884637539841542 , T= 17.625233901244272 keV\n", - "Populating n20= 1.8460524708464492 , T= 24.195051165204216 keV\n", - "Populating n20= 2.1036411877087446 , T= 21.92959693625251 keV\n", - "Populating n20= 2.618818621433335 , T= 22.609233204938022 keV\n", - "Populating n20= 1.2879435843114764 , T= 22.835778627833193 keV\n", - "Populating n20= 2.36122990457104 , T= 20.57032439888149 keV\n", - "Populating n20= 1.5884637539841542 , T= 17.851779324139443 keV\n", - "Populating n20= 0.9874234146387985 , T= 20.117233553091147 keV\n", - "Populating n20= 2.1036411877087446 , T= 22.15614235914768 keV\n", - "Populating n20= 2.618818621433335 , T= 22.835778627833193 keV\n", - "Populating n20= 1.2879435843114764 , T= 23.062324050728364 keV\n", - "Populating n20= 1.5884637539841542 , T= 18.07832474703461 keV\n", - "Populating n20= 2.36122990457104 , T= 20.796869821776657 keV\n", - "Populating n20= 0.9874234146387985 , T= 20.343778975986318 keV\n", - "Populating n20= 2.1036411877087446 , T= 22.38268778204285 keV\n", - "Populating n20= 2.618818621433335 , T= 23.062324050728364 keV\n", - "Populating n20= 1.8460524708464492 , T= 24.421596588099387 keV\n", - "Populating n20= 1.2879435843114764 , T= 23.288869473623535 keV\n", - "Populating n20= 2.87640733829563 , T= 21.47650609046217 keV\n", - "Populating n20= 1.5884637539841542 , T= 18.30487016992978 keV\n", - "Populating n20= 2.36122990457104 , T= 21.023415244671828 keV\n", - "Populating n20= 2.1036411877087446 , T= 22.609233204938022 keV\n", - "Populating n20= 2.618818621433335 , T= 23.288869473623535 keV\n", - "Populating n20= 1.2879435843114764 , T= 23.515414896518706 keV\n", - "Populating n20= 1.5884637539841542 , T= 18.531415592824953 keV\n", - "Populating n20= 2.87640733829563 , T= 21.703051513357337 keV\n", - "Populating n20= 2.36122990457104 , T= 21.249960667567 keV\n", - "Populating n20= 0.9874234146387985 , T= 20.57032439888149 keV\n", - "Populating n20= 1.888983923656832 , T= 13.32087086623603 keV\n", - "Populating n20= 2.1036411877087446 , T= 22.835778627833193 keV\n", - "Populating n20= 2.618818621433335 , T= 23.515414896518706 keV\n", - "Populating n20= 1.5884637539841542 , T= 18.757961015720124 keV\n", - "Populating n20= 2.87640733829563 , T= 21.92959693625251 keV\n", - "Populating n20= 2.1036411877087446 , T= 23.062324050728364 keV\n", - "Populating n20= 2.36122990457104 , T= 21.47650609046217 keV\n", - "Populating n20= 1.888983923656832 , T= 13.5474162891312 keV\n", - "Populating n20= 1.2879435843114764 , T= 23.741960319413877 keV\n", - "Populating n20= 2.618818621433335 , T= 23.741960319413877 keV\n", - "Populating n20= 1.5884637539841542 , T= 18.98450643861529 keV\n", - "Populating n20= 2.87640733829563 , T= 22.15614235914768 keV\n", - "Populating n20= 2.1036411877087446 , T= 23.288869473623535 keV\n", - "Populating n20= 1.888983923656832 , T= 13.77396171202637 keV\n", - "Populating n20= 1.2879435843114764 , T= 23.968505742309045 keV\n", - "Populating n20= 2.618818621433335 , T= 23.968505742309045 keV\n", - "Populating n20= 1.5884637539841542 , T= 19.211051861510462 keV\n", - "Populating n20= 2.87640733829563 , T= 22.38268778204285 keV\n", - "Populating n20= 0.9874234146387985 , T= 20.796869821776657 keV\n", - "Populating n20= 2.1036411877087446 , T= 23.515414896518706 keV\n", - "Populating n20= 1.888983923656832 , T= 14.000507134921541 keV\n", - "Populating n20= 1.2879435843114764 , T= 24.195051165204216 keV\n", - "Populating n20= 2.618818621433335 , T= 24.195051165204216 keV\n", - "Populating n20= 1.5884637539841542 , T= 19.437597284405634 keV\n", - "Populating n20= 0.9874234146387985 , T= 21.023415244671828 keV\n", - "Populating n20= 2.1036411877087446 , T= 23.741960319413877 keV\n", - "Populating n20= 1.888983923656832 , T= 14.227052557816712 keV\n", - "Populating n20= 2.36122990457104 , T= 21.703051513357337 keV\n", - "Populating n20= 2.87640733829563 , T= 22.609233204938022 keV\n", - "Populating n20= 1.2879435843114764 , T= 24.421596588099387 keV\n", - "Populating n20= 1.5884637539841542 , T= 19.664142707300805 keV\n", - "Populating n20= 2.618818621433335 , T= 24.421596588099387 keV\n", - "Populating n20= 0.9874234146387985 , T= 21.249960667567 keV\n", - "Populating n20= 2.36122990457104 , T= 21.92959693625251 keV\n", - "Populating n20= 2.87640733829563 , T= 22.835778627833193 keV\n", - "Populating n20= 1.3308750371218587 , T= 13.32087086623603 keV\n", - "Populating n20= 1.5884637539841542 , T= 19.890688130195976 keV\n", - "Populating n20= 2.6617500742437175 , T= 13.32087086623603 keV\n", - "Populating n20= 0.9874234146387985 , T= 21.47650609046217 keV\n", - "Populating n20= 2.36122990457104 , T= 22.15614235914768 keV\n", - "Populating n20= 2.87640733829563 , T= 23.062324050728364 keV\n", - "Populating n20= 1.3308750371218587 , T= 13.5474162891312 keV\n", - "Populating n20= 1.888983923656832 , T= 14.453597980711884 keV\n", - "Populating n20= 1.5884637539841542 , T= 20.117233553091147 keV\n", - "Populating n20= 2.1036411877087446 , T= 23.968505742309045 keV\n", - "Populating n20= 0.9874234146387985 , T= 21.703051513357337 keV\n", - "Populating n20= 2.36122990457104 , T= 22.38268778204285 keV\n", - "Populating n20= 2.87640733829563 , T= 23.288869473623535 keV\n", - "Populating n20= 1.3308750371218587 , T= 13.77396171202637 keV\n", - "Populating n20= 1.888983923656832 , T= 14.680143403607053 keV\n", - "Populating n20= 1.5884637539841542 , T= 20.343778975986318 keV\n", - "Populating n20= 0.9874234146387985 , T= 21.92959693625251 keV\n", - "Populating n20= 2.6617500742437175 , T= 13.5474162891312 keV\n", - "Populating n20= 2.36122990457104 , T= 22.609233204938022 keV\n", - "Populating n20= 2.87640733829563 , T= 23.515414896518706 keV\n", - "Populating n20= 1.3308750371218587 , T= 14.000507134921541 keV\n", - "Populating n20= 1.888983923656832 , T= 14.906688826502224 keV\n", - "Populating n20= 1.5884637539841542 , T= 20.57032439888149 keV\n", - "Populating n20= 0.9874234146387985 , T= 22.15614235914768 keV\n", - "Populating n20= 2.36122990457104 , T= 22.835778627833193 keV\n", - "Populating n20= 2.6617500742437175 , T= 13.77396171202637 keV\n", - "Populating n20= 2.87640733829563 , T= 23.741960319413877 keV\n", - "Populating n20= 2.1036411877087446 , T= 24.195051165204216 keV\n", - "Populating n20= 1.3308750371218587 , T= 14.227052557816712 keV\n", - "Populating n20= 1.5884637539841542 , T= 20.796869821776657 keV\n", - "Populating n20= 0.9874234146387985 , T= 22.38268778204285 keV\n", - "Populating n20= 2.36122990457104 , T= 23.062324050728364 keV\n", - "Populating n20= 2.6617500742437175 , T= 14.000507134921541 keV\n", - "Populating n20= 2.87640733829563 , T= 23.968505742309045 keV\n", - "Populating n20= 1.3308750371218587 , T= 14.453597980711884 keV\n", - "Populating n20= 1.5884637539841542 , T= 21.023415244671828 keV\n", - "Populating n20= 0.9874234146387985 , T= 22.609233204938022 keV\n", - "Populating n20= 1.888983923656832 , T= 15.133234249397393 keV\n", - "Populating n20= 2.36122990457104 , T= 23.288869473623535 keV\n", - "Populating n20= 2.6617500742437175 , T= 14.227052557816712 keV\n", - "Populating n20= 1.3308750371218587 , T= 14.680143403607053 keV\n", - "Populating n20= 2.87640733829563 , T= 24.195051165204216 keV\n", - "Populating n20= 0.9874234146387985 , T= 22.835778627833193 keV\n", - "Populating n20= 2.1036411877087446 , T= 24.421596588099387 keV\n", - "Populating n20= 1.5884637539841542 , T= 21.249960667567 keV\n", - "Populating n20= 2.6617500742437175 , T= 14.453597980711884 keV\n", - "Populating n20= 1.3308750371218587 , T= 14.906688826502224 keV\n", - "Populating n20= 2.87640733829563 , T= 24.421596588099387 keV\n", - "Populating n20= 0.9874234146387985 , T= 23.062324050728364 keV\n", - "Populating n20= 2.146572640519127 , T= 13.32087086623603 keV\n", - "Populating n20= 2.36122990457104 , T= 23.515414896518706 keV\n", - "Populating n20= 1.888983923656832 , T= 15.359779672292564 keV\n", - "Populating n20= 2.6617500742437175 , T= 14.680143403607053 keV\n", - "Populating n20= 1.3308750371218587 , T= 15.133234249397393 keV\n", - "Populating n20= 2.919338791106013 , T= 13.32087086623603 keV\n", - "Populating n20= 0.9874234146387985 , T= 23.288869473623535 keV\n", - "Populating n20= 2.146572640519127 , T= 13.5474162891312 keV\n", - "Populating n20= 1.888983923656832 , T= 15.586325095187735 keV\n", - "Populating n20= 2.6617500742437175 , T= 14.906688826502224 keV\n", - "Populating n20= 1.3308750371218587 , T= 15.359779672292564 keV\n", - "Populating n20= 2.36122990457104 , T= 23.741960319413877 keV\n", - "Populating n20= 0.9874234146387985 , T= 23.515414896518706 keV\n", - "Populating n20= 2.919338791106013 , T= 13.5474162891312 keV\n", - "Populating n20= 2.146572640519127 , T= 13.77396171202637 keV\n", - "Populating n20= 1.5884637539841542 , T= 21.47650609046217 keV\n", - "Populating n20= 2.6617500742437175 , T= 15.133234249397393 keV\n", - "Populating n20= 1.3308750371218587 , T= 15.586325095187735 keV\n", - "Populating n20= 2.36122990457104 , T= 23.968505742309045 keV\n", - "Populating n20= 0.9874234146387985 , T= 23.741960319413877 keV\n", - "Populating n20= 2.146572640519127 , T= 14.000507134921541 keV\n", - "Populating n20= 2.919338791106013 , T= 13.77396171202637 keV\n", - "Populating n20= 2.6617500742437175 , T= 15.359779672292564 keV\n", - "Populating n20= 1.3308750371218587 , T= 15.812870518082907 keV\n", - "Populating n20= 2.36122990457104 , T= 24.195051165204216 keV\n", - "Populating n20= 1.888983923656832 , T= 15.812870518082907 keV\n", - "Populating n20= 0.9874234146387985 , T= 23.968505742309045 keV\n", - "Populating n20= 2.146572640519127 , T= 14.227052557816712 keV\n", - "Populating n20= 2.919338791106013 , T= 14.000507134921541 keV\n", - "Populating n20= 1.5884637539841542 , T= 21.703051513357337 keV\n", - "Populating n20= 2.6617500742437175 , T= 15.586325095187735 keV\n", - "Populating n20= 1.3308750371218587 , T= 16.039415940978078 keV\n", - "Populating n20= 0.9874234146387985 , T= 24.195051165204216 keV\n", - "Populating n20= 1.888983923656832 , T= 16.039415940978078 keV\n", - "Populating n20= 2.146572640519127 , T= 14.453597980711884 keV\n", - "Populating n20= 1.5884637539841542 , T= 21.92959693625251 keV\n", - "Populating n20= 2.6617500742437175 , T= 15.812870518082907 keV\n", - "Populating n20= 1.3308750371218587 , T= 16.265961363873245 keV\n", - "Populating n20= 0.9874234146387985 , T= 24.421596588099387 keV\n", - "Populating n20= 1.888983923656832 , T= 16.265961363873245 keV\n", - "Populating n20= 2.146572640519127 , T= 14.680143403607053 keV\n", - "Populating n20= 1.5884637539841542 , T= 22.15614235914768 keV\n", - "Populating n20= 2.36122990457104 , T= 24.421596588099387 keV\n", - "Populating n20= 1.3308750371218587 , T= 16.492506786768416 keV\n", - "Populating n20= 1.030354867449181 , T= 13.32087086623603 keV\n", - "Populating n20= 2.6617500742437175 , T= 16.039415940978078 keV\n", - "Populating n20= 1.888983923656832 , T= 16.492506786768416 keV\n", - "Populating n20= 2.146572640519127 , T= 14.906688826502224 keV\n", - "Populating n20= 2.919338791106013 , T= 14.227052557816712 keV\n", - "Populating n20= 1.5884637539841542 , T= 22.38268778204285 keV\n", - "Populating n20= 2.4041613573814224 , T= 13.32087086623603 keV\n", - "Populating n20= 1.3308750371218587 , T= 16.719052209663587 keV\n", - "Populating n20= 1.030354867449181 , T= 13.5474162891312 keV\n", - "Populating n20= 1.888983923656832 , T= 16.719052209663587 keV\n", - "Populating n20= 2.146572640519127 , T= 15.133234249397393 keV\n", - "Populating n20= 1.5884637539841542 , T= 22.609233204938022 keV\n", - "Populating n20= 2.4041613573814224 , T= 13.5474162891312 keV\n", - "Populating n20= 1.3308750371218587 , T= 16.94559763255876 keV\n", - "Populating n20= 2.6617500742437175 , T= 16.265961363873245 keV\n", - "Populating n20= 1.888983923656832 , T= 16.94559763255876 keV\n", - "Populating n20= 1.030354867449181 , T= 13.77396171202637 keV\n", - "Populating n20= 2.146572640519127 , T= 15.359779672292564 keV\n", - "Populating n20= 2.919338791106013 , T= 14.453597980711884 keV\n", - "Populating n20= 1.5884637539841542 , T= 22.835778627833193 keV\n", - "Populating n20= 2.4041613573814224 , T= 13.77396171202637 keV\n", - "Populating n20= 2.6617500742437175 , T= 16.492506786768416 keV\n", - "Populating n20= 1.888983923656832 , T= 17.17214305545393 keV\n", - "Populating n20= 1.030354867449181 , T= 14.000507134921541 keV\n", - "Populating n20= 2.919338791106013 , T= 14.680143403607053 keV\n", - "Populating n20= 1.5884637539841542 , T= 23.062324050728364 keV\n", - "Populating n20= 2.4041613573814224 , T= 14.000507134921541 keV\n", - "Populating n20= 2.6617500742437175 , T= 16.719052209663587 keV\n", - "Populating n20= 1.888983923656832 , T= 17.3986884783491 keV\n", - "Populating n20= 1.3308750371218587 , T= 17.17214305545393 keV\n", - "Populating n20= 1.030354867449181 , T= 14.227052557816712 keV\n", - "Populating n20= 2.919338791106013 , T= 14.906688826502224 keV\n", - "Populating n20= 2.146572640519127 , T= 15.586325095187735 keV\n", - "Populating n20= 1.5884637539841542 , T= 23.288869473623535 keV\n", - "Populating n20= 2.4041613573814224 , T= 14.227052557816712 keV\n", - "Populating n20= 2.6617500742437175 , T= 16.94559763255876 keV\n", - "Populating n20= 1.888983923656832 , T= 17.625233901244272 keV\n", - "Populating n20= 1.030354867449181 , T= 14.453597980711884 keV\n", - "Populating n20= 1.3308750371218587 , T= 17.3986884783491 keV\n", - "Populating n20= 1.5884637539841542 , T= 23.515414896518706 keV\n", - "Populating n20= 2.146572640519127 , T= 15.812870518082907 keV\n", - "Populating n20= 2.6617500742437175 , T= 17.17214305545393 keV\n", - "Populating n20= 1.888983923656832 , T= 17.851779324139443 keV\n", - "Populating n20= 1.030354867449181 , T= 14.680143403607053 keV\n", - "Populating n20= 2.919338791106013 , T= 15.133234249397393 keV\n", - "Populating n20=Populating n20= 1.5884637539841542 , T= 23.741960319413877 keV\n", - "Populating n20= 2.146572640519127 , T= 16.039415940978078 keV\n", - " 1.3308750371218587 , T= 17.625233901244272 keV\n", - "Populating n20= 2.6617500742437175 , T= 17.3986884783491 keV\n", - "Populating n20= 2.4041613573814224 , T= 14.453597980711884 keV\n", - "Populating n20= 1.888983923656832 , T= 18.07832474703461 keV\n", - "Populating n20= 1.030354867449181 , T= 14.906688826502224 keV\n", - "Populating n20= 2.919338791106013 , T= 15.359779672292564 keV\n", - "Populating n20= 1.5884637539841542 , T= 23.968505742309045 keV\n", - "Populating n20= 2.4041613573814224 , T= 14.680143403607053 keV\n", - "Populating n20= 1.888983923656832 , T= 18.30487016992978 keV\n", - "Populating n20= 1.030354867449181 , T= 15.133234249397393 keV\n", - "Populating n20= 2.6617500742437175 , T= 17.625233901244272 keV\n", - "Populating n20= 2.146572640519127 , T= 16.265961363873245 keV\n", - "Populating n20= 2.919338791106013 , T= 15.586325095187735 keV\n", - "Populating n20= 1.5884637539841542 , T= 24.195051165204216 keV\n", - "Populating n20= 2.4041613573814224 , T= 14.906688826502224 keV\n", - "Populating n20= 1.888983923656832 , T= 18.531415592824953 keV\n", - "Populating n20= 1.030354867449181 , T= 15.359779672292564 keV\n", - "Populating n20= 2.6617500742437175 , T= 17.851779324139443 keV\n", - "Populating n20= 1.3308750371218587 , T= 17.851779324139443 keV\n", - "Populating n20= 2.919338791106013 , T= 15.812870518082907 keV\n", - "Populating n20= 1.5884637539841542 , T= 24.421596588099387 keV\n", - "Populating n20= 2.4041613573814224 , T= 15.133234249397393 keV\n", - "Populating n20= 1.888983923656832 , T= 18.757961015720124 keV\n", - "Populating n20= 1.030354867449181 , T= 15.586325095187735 keV\n", - "Populating n20= 2.6617500742437175 , T= 18.07832474703461 keV\n", - "Populating n20= 2.146572640519127 , T= 16.492506786768416 keV\n", - "Populating n20= 2.919338791106013 , T= 16.039415940978078 keV\n", - "Populating n20= 2.4041613573814224 , T= 15.359779672292564 keV\n", - "Populating n20= 1.888983923656832 , T= 18.98450643861529 keV\n", - "Populating n20= 1.3308750371218587 , T= 18.07832474703461 keV\n", - "Populating n20= 1.030354867449181 , T= 15.812870518082907 keV\n", - "Populating n20= 2.919338791106013 , T= 16.265961363873245 keV\n", - "Populating n20= 2.146572640519127 , T= 16.719052209663587 keV\n", - "Populating n20= 1.6313952067945365 , T= 13.32087086623603 keV\n", - "Populating n20= 2.4041613573814224 , T= 15.586325095187735 keV\n", - "Populating n20= 1.888983923656832 , T= 19.211051861510462 keV\n", - "Populating n20= 1.3308750371218587 , T= 18.30487016992978 keV\n", - "Populating n20= 1.030354867449181 , T= 16.039415940978078 keV\n", - "Populating n20= 2.919338791106013 , T= 16.492506786768416 keV\n", - "Populating n20= 2.146572640519127 , T= 16.94559763255876 keV\n", - "Populating n20= 2.4041613573814224 , T= 15.812870518082907 keV\n", - "Populating n20= 1.888983923656832 , T= 19.437597284405634 keV\n", - "Populating n20= 2.6617500742437175 , T= 18.30487016992978 keV\n", - "Populating n20= 1.3308750371218587 , T= 18.531415592824953 keV\n", - "Populating n20= 1.6313952067945365 , T= 13.5474162891312 keV\n", - "Populating n20= 1.030354867449181 , T= 16.265961363873245 keV\n", - "Populating n20= 2.919338791106013 , T= 16.719052209663587 keV\n", - "Populating n20= 1.888983923656832 , T= 19.664142707300805 keV\n", - "Populating n20= 2.146572640519127 , T= 17.17214305545393 keV\n", - "Populating n20= 2.4041613573814224 , T= 16.039415940978078 keV\n", - "Populating n20= 1.030354867449181 , T= 16.492506786768416 keV\n", - "Populating n20= 2.6617500742437175 , T= 18.531415592824953 keV\n", - "Populating n20= 1.6313952067945365 , T= 13.77396171202637 keV\n", - "Populating n20= 2.919338791106013 , T= 16.94559763255876 keV\n", - "Populating n20= 1.3308750371218587 , T= 18.757961015720124 keV\n", - "Populating n20= 2.146572640519127 , T= 17.3986884783491 keV\n", - "Populating n20= 1.888983923656832 , T= 19.890688130195976 keV\n", - "Populating n20= 2.6617500742437175 , T= 18.757961015720124 keV\n", - "Populating n20= 2.919338791106013 , T= 17.17214305545393 keV\n", - "Populating n20= 2.4041613573814224 , T= 16.265961363873245 keV\n", - "Populating n20= 2.146572640519127 , T= 17.625233901244272 keV\n", - "Populating n20= 1.888983923656832 , T= 20.117233553091147 keV\n", - "Populating n20= 1.6313952067945365 , T= 14.000507134921541 keV\n", - "Populating n20= 2.6617500742437175 , T= 18.98450643861529 keV\n", - "Populating n20= 2.4041613573814224 , T= 16.492506786768416 keV\n", - "Populating n20= 1.3308750371218587 , T= 18.98450643861529 keV\n", - "Populating n20= 1.888983923656832 , T= 20.343778975986318 keV\n", - "Populating n20= 1.6313952067945365 , T= 14.227052557816712 keV\n", - "Populating n20= 2.6617500742437175 , T= 19.211051861510462 keV\n", - "Populating n20= 2.146572640519127 , T= 17.851779324139443 keV\n", - "Populating n20= 2.919338791106013 , T= 17.3986884783491 keV\n", - "Populating n20= 2.4041613573814224 , T= 16.719052209663587 keV\n", - "Populating n20= 1.888983923656832 , T= 20.57032439888149 keV\n", - "Populating n20= 1.6313952067945365 , T= 14.453597980711884 keV\n", - "Populating n20= 2.6617500742437175 , T= 19.437597284405634 keV\n", - "Populating n20= 2.146572640519127 , T= 18.07832474703461 keV\n", - "Populating n20= 2.919338791106013 , T= 17.625233901244272 keV\n", - "Populating n20= 2.4041613573814224 , T= 16.94559763255876 keV\n", - "Populating n20= 1.030354867449181 , T= 16.719052209663587 keV\n", - "Populating n20= 1.3308750371218587 , T= 19.211051861510462 keV\n", - "Populating n20= 1.888983923656832 , T= 20.796869821776657 keV\n", - "Populating n20= 1.6313952067945365 , T= 14.680143403607053 keV\n", - "Populating n20= 2.6617500742437175 , T= 19.664142707300805 keV\n", - "Populating n20= 2.146572640519127 , T= 18.30487016992978 keV\n", - "Populating n20= 2.919338791106013 , T= 17.851779324139443 keV\n", - "Populating n20= 2.4041613573814224 , T= 17.17214305545393 keV\n", - "Populating n20= 1.888983923656832 , T= 21.023415244671828 keV\n", - "Populating n20= 1.6313952067945365 , T= 14.906688826502224 keV\n", - "Populating n20= 2.6617500742437175 , T= 19.890688130195976 keV\n", - "Populating n20= 2.146572640519127 , T= 18.531415592824953 keV\n", - "Populating n20= 2.919338791106013 , T= 18.07832474703461 keV\n", - "Populating n20= 2.4041613573814224 , T= 17.3986884783491 keV\n", - "Populating n20= 1.888983923656832 , T= 21.249960667567 keV\n", - "Populating n20= 1.3308750371218587 , T= 19.437597284405634 keV\n", - "Populating n20= 1.6313952067945365 , T= 15.133234249397393 keV\n", - "Populating n20= 2.919338791106013 , T= 18.30487016992978 keV\n", - "Populating n20= 2.146572640519127 , T= 18.757961015720124 keV\n", - "Populating n20= 1.030354867449181 , T= 16.94559763255876 keV\n", - "Populating n20= 1.888983923656832 , T= 21.47650609046217 keV\n", - "Populating n20= 1.3308750371218587 , T= 19.664142707300805 keV\n", - "Populating n20= 1.6313952067945365 , T= 15.359779672292564 keV\n", - "Populating n20= 2.919338791106013 , T= 18.531415592824953 keV\n", - "Populating n20= 2.146572640519127 , T= 18.98450643861529 keV\n", - "Populating n20= 1.030354867449181 , T= 17.17214305545393 keV\n", - "Populating n20= 2.6617500742437175 , T= 20.117233553091147 keV\n", - "Populating n20= 1.888983923656832 , T= 21.703051513357337 keV\n", - "Populating n20= 1.3308750371218587 , T= 19.890688130195976 keV\n", - "Populating n20= 1.6313952067945365 , T= 15.586325095187735 keV\n", - "Populating n20= 2.919338791106013 , T= 18.757961015720124 keV\n", - "Populating n20= 2.4041613573814224 , T= 17.625233901244272 keV\n", - "Populating n20= 2.146572640519127 , T= 19.211051861510462 keV\n", - "Populating n20= 1.030354867449181 , T= 17.3986884783491 keV\n", - "Populating n20= 1.888983923656832 , T= 21.92959693625251 keV\n", - "Populating n20= 2.6617500742437175 , T= 20.343778975986318 keV\n", - "Populating n20= 1.6313952067945365 , T= 15.812870518082907 keV\n", - "Populating n20= 2.919338791106013 , T= 18.98450643861529 keV\n", - "Populating n20= 2.4041613573814224 , T= 17.851779324139443 keV\n", - "Populating n20= 1.030354867449181 , T= 17.625233901244272 keV\n", - "Populating n20= 1.888983923656832 , T= 22.15614235914768 keV\n", - "Populating n20= 2.6617500742437175 , T= 20.57032439888149 keV\n", - "Populating n20= 1.6313952067945365 , T= 16.039415940978078 keV\n", - "Populating n20= 2.919338791106013 , T= 19.211051861510462 keV\n", - "Populating n20= 1.3308750371218587 , T= 20.117233553091147 keV\n", - "Populating n20= 2.4041613573814224 , T= 18.07832474703461 keV\n", - "Populating n20= 1.030354867449181 , T= 17.851779324139443 keV\n", - "Populating n20= 1.888983923656832 , T= 22.38268778204285 keV\n", - "Populating n20= 2.146572640519127 , T= 19.437597284405634 keV\n", - "Populating n20= 2.919338791106013 , T= 19.437597284405634 keV\n", - "Populating n20= 1.3308750371218587 , T= 20.343778975986318 keV\n", - "Populating n20= 2.6617500742437175 , T= 20.796869821776657 keV\n", - "Populating n20= 1.030354867449181 , T= 18.07832474703461 keV\n", - "Populating n20= 1.6313952067945365 , T= 16.265961363873245 keV\n", - "Populating n20= 2.4041613573814224 , T= 18.30487016992978 keV\n", - "Populating n20= 1.888983923656832 , T= 22.609233204938022 keV\n", - "Populating n20= 2.146572640519127 , T= 19.664142707300805 keV\n", - "Populating n20= 2.919338791106013 , T= 19.664142707300805 keV\n", - "Populating n20= 1.3308750371218587 , T= 20.57032439888149 keV\n", - "Populating n20= 1.6313952067945365 , T= 16.492506786768416 keV\n", - "Populating n20= 2.4041613573814224 , T= 18.531415592824953 keV\n", - "Populating n20= 1.888983923656832 , T= 22.835778627833193 keV\n", - "Populating n20= 2.146572640519127 , T= 19.890688130195976 keV\n", - "Populating n20= 1.3308750371218587 , T= 20.796869821776657 keV\n", - "Populating n20= 2.919338791106013 , T= 19.890688130195976 keV\n", - "Populating n20= 1.6313952067945365 , T= 16.719052209663587 keV\n", - "Populating n20= 2.4041613573814224 , T= 18.757961015720124 keV\n", - "Populating n20= 2.6617500742437175 , T= 21.023415244671828 keV\n", - "Populating n20= 2.146572640519127 , T= 20.117233553091147 keV\n", - "Populating n20= 1.888983923656832 , T= 23.062324050728364 keV\n", - "Populating n20= 2.919338791106013 , T= 20.117233553091147 keV\n", - "Populating n20= 1.6313952067945365 , T= 16.94559763255876 keV\n", - "Populating n20= 2.4041613573814224 , T= 18.98450643861529 keV\n", - "Populating n20= 1.030354867449181 , T= 18.30487016992978 keV\n", - "Populating n20= 2.6617500742437175 , T= 21.249960667567 keV\n", - "Populating n20= 2.146572640519127 , T= 20.343778975986318 keV\n", - "Populating n20= 1.888983923656832 , T= 23.288869473623535 keV\n", - "Populating n20= 2.919338791106013 , T= 20.343778975986318 keV\n", - "Populating n20= 1.6313952067945365 , T= 17.17214305545393 keV\n", - "Populating n20= 2.4041613573814224 , T= 19.211051861510462 keV\n", - "Populating n20= 2.6617500742437175 , T= 21.47650609046217 keV\n", - "Populating n20= 2.146572640519127 , T= 20.57032439888149 keV\n", - "Populating n20= 1.888983923656832 , T= 23.515414896518706 keV\n", - "Populating n20= 2.919338791106013 , T= 20.57032439888149 keV\n", - "Populating n20= 1.6313952067945365 , T= 17.3986884783491 keV\n", - "Populating n20= 1.3308750371218587 , T= 21.023415244671828 keV\n", - "Populating n20= 2.4041613573814224 , T= 19.437597284405634 keV\n", - "Populating n20= 2.6617500742437175 , T= 21.703051513357337 keV\n", - "Populating n20= 2.146572640519127 , T= 20.796869821776657 keV\n", - "Populating n20= 1.030354867449181 , T= 18.531415592824953 keV\n", - "Populating n20= 2.919338791106013 , T= 20.796869821776657 keV\n", - "Populating n20= 1.6313952067945365 , T= 17.625233901244272 keV\n", - "Populating n20= 1.3308750371218587 , T= 21.249960667567 keV\n", - "Populating n20= 2.4041613573814224 , T= 19.664142707300805 keV\n", - "Populating n20= 1.888983923656832 , T= 23.741960319413877 keV\n", - "Populating n20= 2.6617500742437175 , T= 21.92959693625251 keV\n", - "Populating n20= 1.030354867449181 , T= 18.757961015720124 keV\n", - "Populating n20= 2.919338791106013 , T= 21.023415244671828 keV\n", - "Populating n20= 1.6313952067945365 , T= 17.851779324139443 keV\n", - "Populating n20= 1.3308750371218587 , T= 21.47650609046217 keV\n", - "Populating n20= 2.4041613573814224 , T= 19.890688130195976 keV\n", - "Populating n20= 2.6617500742437175 , T= 22.15614235914768 keV\n", - "Populating n20= 2.146572640519127 , T= 21.023415244671828 keV\n", - "Populating n20= 1.030354867449181 , T= 18.98450643861529 keV\n", - "Populating n20= 1.6313952067945365 , T= 18.07832474703461 keV\n", - "Populating n20= 1.3308750371218587 , T= 21.703051513357337 keV\n", - "Populating n20= 2.4041613573814224 , T= 20.117233553091147 keV\n", - "Populating n20= 2.6617500742437175 , T= 22.38268778204285 keV\n", - "Populating n20= 2.146572640519127 , T= 21.249960667567 keV\n", - "Populating n20= 1.030354867449181 , T= 19.211051861510462 keV\n", - "Populating n20= 1.6313952067945365 , T= 18.30487016992978 keV\n", - "Populating n20= 1.3308750371218587 , T= 21.92959693625251 keV\n", - "Populating n20= 2.4041613573814224 , T= 20.343778975986318 keV\n", - "Populating n20= 1.888983923656832 , T= 23.968505742309045 keV\n", - "Populating n20= 2.919338791106013 , T= 21.249960667567 keV\n", - "Populating n20= 2.6617500742437175 , T= 22.609233204938022 keV\n", - "Populating n20= 2.146572640519127 , T= 21.47650609046217 keV\n", - "Populating n20= 1.030354867449181 , T= 19.437597284405634 keV\n", - "Populating n20= 1.6313952067945365 , T= 18.531415592824953 keV\n", - "Populating n20= 1.3308750371218587 , T= 22.15614235914768 keV\n", - "Populating n20= 2.4041613573814224 , T= 20.57032439888149 keV\n", - "Populating n20= 2.6617500742437175 , T= 22.835778627833193 keV\n", - "Populating n20= 1.888983923656832 , T= 24.195051165204216 keV\n", - "Populating n20= 2.919338791106013 , T= 21.47650609046217 keV\n", - "Populating n20= 1.030354867449181 , T= 19.664142707300805 keV\n", - "Populating n20= 1.3308750371218587 , T= 22.38268778204285 keV\n", - "Populating n20= 2.4041613573814224 , T= 20.796869821776657 keV\n", - "Populating n20= 2.6617500742437175 , T= 23.062324050728364 keV\n", - "Populating n20= 1.888983923656832 , T= 24.421596588099387 keV\n", - "Populating n20= 2.919338791106013 , T= 21.703051513357337 keV\n", - "Populating n20= 1.030354867449181 , T= 19.890688130195976 keV\n", - "Populating n20= 2.146572640519127 , T= 21.703051513357337 keV\n", - "Populating n20= 1.3308750371218587 , T= 22.609233204938022 keV\n", - "Populating n20= 2.4041613573814224 , T= 21.023415244671828 keV\n", - "Populating n20= 2.6617500742437175 , T= 23.288869473623535 keV\n", - "Populating n20= 1.6313952067945365 , T= 18.757961015720124 keV\n", - "Populating n20= 2.919338791106013 , T= 21.92959693625251 keV\n", - "Populating n20= 1.030354867449181 , T= 20.117233553091147 keV\n", - "Populating n20= 1.3308750371218587 , T= 22.835778627833193 keV\n", - "Populating n20= 1.9319153764672143 , T= 13.32087086623603 keV\n", - "Populating n20= 2.4041613573814224 , T= 21.249960667567 keV\n", - "Populating n20= 2.146572640519127 , T= 21.92959693625251 keV\n", - "Populating n20= 2.6617500742437175 , T= 23.515414896518706 keV\n", - "Populating n20= 2.919338791106013 , T= 22.15614235914768 keV\n", - "Populating n20= 1.030354867449181 , T= 20.343778975986318 keV\n", - "Populating n20= 1.3308750371218587 , T= 23.062324050728364 keV\n", - "Populating n20= 2.4041613573814224 , T= 21.47650609046217 keV\n", - "Populating n20= 2.146572640519127 , T= 22.15614235914768 keV\n", - "Populating n20= 2.6617500742437175 , T= 23.741960319413877 keV\n", - "Populating n20= 2.919338791106013 , T= 22.38268778204285 keV\n", - "Populating n20= 1.030354867449181 , T= 20.57032439888149 keV\n", - "Populating n20= 1.3308750371218587 , T= 23.288869473623535 keV\n", - "Populating n20= 2.4041613573814224 , T= 21.703051513357337 keV\n", - "Populating n20= 2.146572640519127 , T= 22.38268778204285 keV\n", - "Populating n20= 2.6617500742437175 , T= 23.968505742309045 keV\n", - "Populating n20= 1.6313952067945365 , T= 18.98450643861529 keV\n", - "Populating n20= 2.919338791106013 , T= 22.609233204938022 keV\n", - "Populating n20= 1.030354867449181 , T= 20.796869821776657 keV\n", - "Populating n20= 1.3308750371218587 , T= 23.515414896518706 keV\n", - "Populating n20= 1.9319153764672143 , T= 13.5474162891312 keV\n", - "Populating n20= 2.4041613573814224 , T= 21.92959693625251 keV\n", - "Populating n20= 2.146572640519127 , T= 22.609233204938022 keV\n", - "Populating n20= 2.6617500742437175 , T= 24.195051165204216 keV\n", - "Populating n20= 2.919338791106013 , T= 22.835778627833193 keV\n", - "Populating n20= 1.030354867449181 , T= 21.023415244671828 keV\n", - "Populating n20= 1.3308750371218587 , T= 23.741960319413877 keV\n", - "Populating n20= 2.4041613573814224 , T= 22.15614235914768 keV\n", - "Populating n20= 2.146572640519127 , T= 22.835778627833193 keV\n", - "Populating n20= 2.6617500742437175 , T= 24.421596588099387 keV\n", - "Populating n20= 2.919338791106013 , T= 23.062324050728364 keV\n", - "Populating n20= 1.030354867449181 , T= 21.249960667567 keV\n", - "Populating n20= 1.6313952067945365 , T= 19.211051861510462 keV\n", - "Populating n20= 1.3308750371218587 , T= 23.968505742309045 keV\n", - "Populating n20= 2.146572640519127 , T= 23.062324050728364 keV\n", - "Populating n20= 2.4041613573814224 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7046815270541 , T= 13.32087086623603 keV\n", - "Populating n20= 1.9319153764672143 , T= 13.77396171202637 keV\n", - "Populating n20= 2.919338791106013 , T= 23.288869473623535 keV\n", - "Populating n20= 1.030354867449181 , T= 21.47650609046217 keV\n", - "Populating n20= 1.6313952067945365 , T= 19.437597284405634 keV\n", - "Populating n20= 1.3308750371218587 , T= 24.195051165204216 keV\n", - "Populating n20= 1.9319153764672143 , T= 14.000507134921541 keV\n", - "Populating n20= 2.7046815270541 , T= 13.5474162891312 keV\n", - "Populating n20= 2.919338791106013 , T= 23.515414896518706 keV\n", - "Populating n20= 1.030354867449181 , T= 21.703051513357337 keV\n", - "Populating n20= 2.146572640519127 , T= 23.288869473623535 keV\n", - "Populating n20= 1.6313952067945365 , T= 19.664142707300805 keV\n", - "Populating n20= 2.4041613573814224 , T= 22.609233204938022 keV\n", - "Populating n20= 1.3308750371218587 , T= 24.421596588099387 keV\n", - "Populating n20= 1.9319153764672143 , T= 14.227052557816712 keV\n", - "Populating n20= 1.030354867449181 , T= 21.92959693625251 keV\n", - "Populating n20= 2.146572640519127 , T= 23.515414896518706 keV\n", - "Populating n20= 2.4041613573814224 , T= 22.835778627833193 keV\n", - "Populating n20= 2.919338791106013 , T= 23.741960319413877 keV\n", - "Populating n20= 1.9319153764672143 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7046815270541 , T= 13.77396171202637 keV\n", - "Populating n20= 1.030354867449181 , T= 22.15614235914768 keV\n", - "Populating n20= 2.146572640519127 , T= 23.741960319413877 keV\n", - "Populating n20= 2.4041613573814224 , T= 23.062324050728364 keV\n", - "Populating n20= 2.919338791106013 , T= 23.968505742309045 keV\n", - "Populating n20= 1.9319153764672143 , T= 14.680143403607053 keV\n", - "Populating n20= 1.6313952067945365 , T= 19.890688130195976 keV\n", - "Populating n20= 2.7046815270541 , T= 14.000507134921541 keV\n", - "Populating n20= 1.030354867449181 , T= 22.38268778204285 keV\n", - "Populating n20= 2.146572640519127 , T= 23.968505742309045 keV\n", - "Populating n20= 1.3738064899322413 , T= 13.32087086623603 keV\n", - "Populating n20= 1.9319153764672143 , T= 14.906688826502224 keV\n", - "Populating n20= 2.4041613573814224 , T= 23.288869473623535 keV\n", - "Populating n20= 2.919338791106013 , T= 24.195051165204216 keV\n", - "Populating n20= 1.6313952067945365 , T= 20.117233553091147 keV\n", - "Populating n20= 1.030354867449181 , T= 22.609233204938022 keV\n", - "Populating n20= 2.146572640519127 , T= 24.195051165204216 keV\n", - "Populating n20= 1.3738064899322413 , T= 13.5474162891312 keV\n", - "Populating n20= 1.9319153764672143 , T= 15.133234249397393 keV\n", - "Populating n20= 2.4041613573814224 , T= 23.515414896518706 keV\n", - "Populating n20= 1.6313952067945365 , T= 20.343778975986318 keV\n", - "Populating n20= 1.030354867449181 , T= 22.835778627833193 keV\n", - "Populating n20= 2.146572640519127 , T= 24.421596588099387 keV\n", - "Populating n20= 1.3738064899322413 , T= 13.77396171202637 keV\n", - "Populating n20= 2.7046815270541 , T= 14.227052557816712 keV\n", - "Populating n20= 1.9319153764672143 , T= 15.359779672292564 keV\n", - "Populating n20= 2.4041613573814224 , T= 23.741960319413877 keV\n", - "Populating n20= 1.6313952067945365 , T= 20.57032439888149 keV\n", - "Populating n20= 1.030354867449181 , T= 23.062324050728364 keV\n", - "Populating n20= 2.919338791106013 , T= 24.421596588099387 keV\n", - "Populating n20= 2.18950409332951 , T= 13.32087086623603 keV\n", - "Populating n20= 1.3738064899322413 , T= 14.000507134921541 keV\n", - "Populating n20= 1.9319153764672143 , T= 15.586325095187735 keV\n", - "Populating n20= 2.7046815270541 , T= 14.453597980711884 keV\n", - "Populating n20= 1.030354867449181 , T= 23.288869473623535 keV\n", - "Populating n20= 2.18950409332951 , T= 13.5474162891312 keV\n", - "Populating n20= 2.9622702439163953 , T= 13.32087086623603 keV\n", - "Populating n20= 1.3738064899322413 , T= 14.227052557816712 keV\n", - "Populating n20= 1.9319153764672143 , T= 15.812870518082907 keV\n", - "Populating n20= 2.7046815270541 , T= 14.680143403607053 keV\n", - "Populating n20= 1.030354867449181 , T= 23.515414896518706 keV\n", - "Populating n20= 2.18950409332951 , T= 13.77396171202637 keV\n", - "Populating n20= 2.9622702439163953 , T= 13.5474162891312 keV\n", - "Populating n20= 1.3738064899322413 , T= 14.453597980711884 keV\n", - "Populating n20= 2.4041613573814224 , T= 23.968505742309045 keV\n", - "Populating n20= 1.6313952067945365 , T= 20.796869821776657 keV\n", - "Populating n20= 1.9319153764672143 , T= 16.039415940978078 keV\n", - "Populating n20= 2.7046815270541 , T= 14.906688826502224 keV\n", - "Populating n20= 1.030354867449181 , T= 23.741960319413877 keV\n", - "Populating n20= 2.9622702439163953 , T= 13.77396171202637 keV\n", - "Populating n20= 1.3738064899322413 , T= 14.680143403607053 keV\n", - "Populating n20= 2.4041613573814224 , T= 24.195051165204216 keV\n", - "Populating n20= 1.6313952067945365 , T= 21.023415244671828 keV\n", - "Populating n20= 2.18950409332951 , T= 14.000507134921541 keV\n", - "Populating n20= 2.7046815270541 , T= 15.133234249397393 keV\n", - "Populating n20= 2.9622702439163953 , T= 14.000507134921541 keV\n", - "Populating n20= 1.3738064899322413 , T= 14.906688826502224 keV\n", - "Populating n20= 1.030354867449181 , T= 23.968505742309045 keV\n", - "Populating n20= 2.4041613573814224 , T= 24.421596588099387 keV\n", - "Populating n20= 1.6313952067945365 , T= 21.249960667567 keV\n", - "Populating n20= 2.18950409332951 , T= 14.227052557816712 keV\n", - "Populating n20= 2.7046815270541 , T= 15.359779672292564 keV\n", - "Populating n20= 2.9622702439163953 , T= 14.227052557816712 keV\n", - "Populating n20= 1.9319153764672143 , T= 16.265961363873245 keV\n", - "Populating n20= 1.3738064899322413 , T= 15.133234249397393 keV\n", - "Populating n20= 1.6313952067945365 , T= 21.47650609046217 keV\n", - "Populating n20= 2.18950409332951 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7046815270541 , T= 15.586325095187735 keV\n", - "Populating n20= 1.030354867449181 , T= 24.195051165204216 keV\n", - "Populating n20= 2.9622702439163953 , T= 14.453597980711884 keV\n", - "Populating n20= 2.447092810191805 , T= 13.32087086623603 keV\n", - "Populating n20= 1.3738064899322413 , T= 15.359779672292564 keV\n", - "Populating n20= 2.18950409332951 , T= 14.680143403607053 keV\n", - "Populating n20= 1.6313952067945365 , T= 21.703051513357337 keV\n", - "Populating n20= 2.7046815270541 , T= 15.812870518082907 keV\n", - "Populating n20= 1.9319153764672143 , T= 16.492506786768416 keV\n", - "Populating n20= 1.030354867449181 , T= 24.421596588099387 keV\n", - "Populating n20= 2.9622702439163953 , T= 14.680143403607053 keV\n", - "Populating n20= 2.18950409332951 , T= 14.906688826502224 keV\n", - "Populating n20= 1.6313952067945365 , T= 21.92959693625251 keV\n", - "Populating n20= 2.7046815270541 , T= 16.039415940978078 keV\n", - "Populating n20= 1.9319153764672143 , T= 16.719052209663587 keV\n", - "Populating n20= 1.0732863202595635 , T= 13.32087086623603 keV\n", - "Populating n20= 2.9622702439163953 , T= 14.906688826502224 keV\n", - "Populating n20= 2.18950409332951 , T= 15.133234249397393 keV\n", - "Populating n20= 1.6313952067945365 , T= 22.15614235914768 keV\n", - "Populating n20= 2.7046815270541 , T= 16.265961363873245 keV\n", - "Populating n20= 1.9319153764672143 , T= 16.94559763255876 keV\n", - "Populating n20= 2.9622702439163953 , T= 15.133234249397393 keV\n", - "Populating n20= 1.3738064899322413 , T= 15.586325095187735 keV\n", - "Populating n20= 1.0732863202595635 , T= 13.5474162891312 keV\n", - "Populating n20= 2.18950409332951 , T= 15.359779672292564 keV\n", - "Populating n20= 1.6313952067945365 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7046815270541 , T= 16.492506786768416 keV\n", - "Populating n20= 1.9319153764672143 , T= 17.17214305545393 keV\n", - "Populating n20= 2.9622702439163953 , T= 15.359779672292564 keV\n", - "Populating n20= 2.447092810191805 , T= 13.5474162891312 keV\n", - "Populating n20= 1.3738064899322413 , T= 15.812870518082907 keV\n", - "Populating n20= 2.18950409332951 , T= 15.586325095187735 keV\n", - "Populating n20= 1.6313952067945365 , T= 22.609233204938022 keV\n", - "Populating n20= 2.7046815270541 , T= 16.719052209663587 keV\n", - "Populating n20= 1.9319153764672143 , T= 17.3986884783491 keV\n", - "Populating n20= 2.9622702439163953 , T= 15.586325095187735 keV\n", - "Populating n20= 1.3738064899322413 , T= 16.039415940978078 keV\n", - "Populating n20= 2.18950409332951 , T= 15.812870518082907 keV\n", - "Populating n20= 1.6313952067945365 , T= 22.835778627833193 keV\n", - "Populating n20= 2.7046815270541 , T= 16.94559763255876 keV\n", - "Populating n20= 1.9319153764672143 , T= 17.625233901244272 keV\n", - "Populating n20= 2.9622702439163953 , T= 15.812870518082907 keV\n", - "Populating n20= 1.3738064899322413 , T= 16.265961363873245 keV\n", - "Populating n20= 1.0732863202595635 , T= 13.77396171202637 keV\n", - "Populating n20= 2.18950409332951 , T= 16.039415940978078 keV\n", - "Populating n20= 1.6313952067945365 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7046815270541 , T= 17.17214305545393 keV\n", - "Populating n20= 2.447092810191805 , T= 13.77396171202637 keV\n", - "Populating n20= 1.9319153764672143 , T= 17.851779324139443 keV\n", - "Populating n20= 2.9622702439163953 , T= 16.039415940978078 keV\n", - "Populating n20= 1.3738064899322413 , T= 16.492506786768416 keV\n", - "Populating n20= 1.0732863202595635 , T= 14.000507134921541 keV\n", - "Populating n20= 1.6313952067945365 , T= 23.288869473623535 keV\n", - "Populating n20= 2.7046815270541 , T= 17.3986884783491 keV\n", - "Populating n20= 1.9319153764672143 , T= 18.07832474703461 keV\n", - "Populating n20= 2.9622702439163953 , T= 16.265961363873245 keV\n", - "Populating n20= 1.3738064899322413 , T= 16.719052209663587 keV\n", - "Populating n20= 1.0732863202595635 , T= 14.227052557816712 keV\n", - "Populating n20= 1.6313952067945365 , T= 23.515414896518706 keV\n", - "Populating n20= 2.18950409332951 , T= 16.265961363873245 keV\n", - "Populating n20= 2.7046815270541 , T= 17.625233901244272 keV\n", - "Populating n20= 1.9319153764672143 , T= 18.30487016992978 keV\n", - "Populating n20= 2.9622702439163953 , T= 16.492506786768416 keV\n", - "Populating n20= 1.3738064899322413 , T= 16.94559763255876 keV\n", - "Populating n20= 1.0732863202595635 , T= 14.453597980711884 keV\n", - "Populating n20= 1.6313952067945365 , T= 23.741960319413877 keV\n", - "Populating n20= 2.7046815270541 , T= 17.851779324139443 keV\n", - "Populating n20= 1.9319153764672143 , T= 18.531415592824953 keV\n", - "Populating n20= 2.9622702439163953 , T= 16.719052209663587 keV\n", - "Populating n20= 2.447092810191805 , T= 14.000507134921541 keV\n", - "Populating n20= 1.3738064899322413 , T= 17.17214305545393 keV\n", - "Populating n20= 2.18950409332951 , T= 16.492506786768416 keV\n", - "Populating n20= 2.7046815270541 , T= 18.07832474703461 keV\n", - "Populating n20= 1.9319153764672143 , T= 18.757961015720124 keV\n", - "Populating n20= 2.9622702439163953 , T= 16.94559763255876 keV\n", - "Populating n20= 2.447092810191805 , T= 14.227052557816712 keV\n", - "Populating n20= 1.3738064899322413 , T= 17.3986884783491 keV\n", - "Populating n20= 2.18950409332951 , T= 16.719052209663587 keV\n", - "Populating n20= 1.0732863202595635 , T= 14.680143403607053 keV\n", - "Populating n20= 2.7046815270541 , T= 18.30487016992978 keV\n", - "Populating n20= 1.6313952067945365 , T= 23.968505742309045 keV\n", - "Populating n20= 1.9319153764672143 , T= 18.98450643861529 keV\n", - "Populating n20= 2.9622702439163953 , T= 17.17214305545393 keV\n", - "Populating n20= 2.447092810191805 , T= 14.453597980711884 keV\n", - "Populating n20= 1.3738064899322413 , T= 17.625233901244272 keV\n", - "Populating n20= 2.18950409332951 , T= 16.94559763255876 keV\n", - "Populating n20= 1.6313952067945365 , T= 24.195051165204216 keV\n", - "Populating n20= 1.9319153764672143 , T= 19.211051861510462 keV\n", - "Populating n20= 2.9622702439163953 , T= 17.3986884783491 keV\n", - "Populating n20= 1.3738064899322413 , T= 17.851779324139443 keV\n", - "Populating n20= 2.7046815270541 , T= 18.531415592824953 keV\n", - "Populating n20= 2.18950409332951 , T= 17.17214305545393 keV\n", - "Populating n20= 1.6313952067945365 , T= 24.421596588099387 keV\n", - "Populating n20= 1.9319153764672143 , T= 19.437597284405634 keV\n", - "Populating n20= 2.9622702439163953 , T= 17.625233901244272 keV\n", - "Populating n20= 1.3738064899322413 , T= 18.07832474703461 keV\n", - "Populating n20= 2.7046815270541 , T= 18.757961015720124 keV\n", - "Populating n20= 2.18950409332951 , T= 17.3986884783491 keV\n", - "Populating n20= 1.0732863202595635 , T= 14.906688826502224 keV\n", - "Populating n20= 2.447092810191805 , T= 14.680143403607053 keV\n", - "Populating n20= 1.674326659604919 , T= 13.32087086623603 keV\n", - "Populating n20= 1.9319153764672143 , T= 19.664142707300805 keV\n", - "Populating n20= 2.9622702439163953 , T= 17.851779324139443 keV\n", - "Populating n20=Populating n20= 2.7046815270541 , T= 18.98450643861529 keV\n", - " 1.3738064899322413 , T= 18.30487016992978 keV\n", - "Populating n20= 2.18950409332951 , T= 17.625233901244272 keV\n", - "Populating n20= 1.674326659604919 , T= 13.5474162891312 keV\n", - "Populating n20= 1.9319153764672143 , T= 19.890688130195976 keV\n", - "Populating n20= 2.447092810191805 , T= 14.906688826502224 keV\n", - "Populating n20= 1.0732863202595635 , T= 15.133234249397393 keV\n", - "Populating n20= 2.9622702439163953 , T= 18.07832474703461 keV\n", - "Populating n20= 1.9319153764672143 , T= 20.117233553091147 keV\n", - "Populating n20= 2.447092810191805 , T= 15.133234249397393 keV\n", - "Populating n20= 1.0732863202595635 , T= 15.359779672292564 keV\n", - "Populating n20= 1.3738064899322413 , T= 18.531415592824953 keV\n", - "Populating n20= 2.7046815270541 , T= 19.211051861510462 keV\n", - "Populating n20= 2.18950409332951 , T= 17.851779324139443 keV\n", - "Populating n20= 2.9622702439163953 , T= 18.30487016992978 keV\n", - "Populating n20= 1.674326659604919 , T= 13.77396171202637 keV\n", - "Populating n20= 1.9319153764672143 , T= 20.343778975986318 keV\n", - "Populating n20= 2.18950409332951 , T= 18.07832474703461 keV\n", - "Populating n20= 2.447092810191805 , T= 15.359779672292564 keV\n", - "Populating n20= 1.0732863202595635 , T= 15.586325095187735 keV\n", - "Populating n20= 2.7046815270541 , T= 19.437597284405634 keV\n", - "Populating n20= 1.674326659604919 , T= 14.000507134921541 keV\n", - "Populating n20= 1.9319153764672143 , T= 20.57032439888149 keV\n", - "Populating n20= 2.9622702439163953 , T= 18.531415592824953 keV\n", - "Populating n20= 1.3738064899322413 , T= 18.757961015720124 keV\n", - "Populating n20= 2.18950409332951 , T= 18.30487016992978 keV\n", - "Populating n20= 2.447092810191805 , T= 15.586325095187735 keV\n", - "Populating n20= 1.0732863202595635 , T= 15.812870518082907 keV\n", - "Populating n20= 2.7046815270541 , T= 19.664142707300805 keV\n", - "Populating n20= 1.674326659604919 , T= 14.227052557816712 keV\n", - "Populating n20= 1.9319153764672143 , T= 20.796869821776657 keV\n", - "Populating n20= 2.18950409332951 , T= 18.531415592824953 keV\n", - "Populating n20= 1.674326659604919 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7046815270541 , T= 19.890688130195976 keV\n", - "Populating n20= 2.9622702439163953 , T= 18.757961015720124 keV\n", - "Populating n20= 1.0732863202595635 , T= 16.039415940978078 keV\n", - "Populating n20= 1.9319153764672143 , T= 21.023415244671828 keV\n", - "Populating n20= 1.3738064899322413 , T= 18.98450643861529 keV\n", - "Populating n20= 1.674326659604919 , T= 14.680143403607053 keV\n", - "Populating n20= 2.9622702439163953 , T= 18.98450643861529 keV\n", - "Populating n20= 2.18950409332951 , T= 18.757961015720124 keV\n", - "Populating n20= 1.9319153764672143 , T= 21.249960667567 keV\n", - "Populating n20= 1.0732863202595635 , T= 16.265961363873245 keV\n", - "Populating n20= 1.3738064899322413 , T= 19.211051861510462 keV\n", - "Populating n20= 2.7046815270541 , T= 20.117233553091147 keV\n", - "Populating n20= 2.9622702439163953 , T= 19.211051861510462 keV\n", - "Populating n20= 1.674326659604919 , T= 14.906688826502224 keV\n", - "Populating n20= 1.9319153764672143 , T= 21.47650609046217 keV\n", - "Populating n20= 1.0732863202595635 , T= 16.492506786768416 keV\n", - "Populating n20= 1.3738064899322413 , T= 19.437597284405634 keV\n", - "Populating n20= 1.674326659604919 , T= 15.133234249397393 keV\n", - "Populating n20= 1.9319153764672143 , T= 21.703051513357337 keV\n", - "Populating n20= 2.18950409332951 , T= 18.98450643861529 keV\n", - "Populating n20= 1.0732863202595635 , T= 16.719052209663587 keV\n", - "Populating n20= 1.3738064899322413 , T= 19.664142707300805 keV\n", - "Populating n20= 2.9622702439163953 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7046815270541 , T= 20.343778975986318 keV\n", - "Populating n20= 1.674326659604919 , T= 15.359779672292564 keV\n", - "Populating n20= 1.9319153764672143 , T= 21.92959693625251 keV\n", - "Populating n20= 2.18950409332951 , T= 19.211051861510462 keV\n", - "Populating n20= 1.0732863202595635 , T= 16.94559763255876 keV\n", - "Populating n20= 2.9622702439163953 , T= 19.664142707300805 keV\n", - "Populating n20= 2.7046815270541 , T= 20.57032439888149 keV\n", - "Populating n20= 1.674326659604919 , T= 15.586325095187735 keV\n", - "Populating n20= 1.9319153764672143 , T= 22.15614235914768 keV\n", - "Populating n20= 2.18950409332951 , T= 19.437597284405634 keV\n", - "Populating n20= 1.0732863202595635 , T= 17.17214305545393 keV\n", - "Populating n20= 2.9622702439163953 , T= 19.890688130195976 keV\n", - "Populating n20= 2.7046815270541 , T= 20.796869821776657 keV\n", - "Populating n20= 1.674326659604919 , T= 15.812870518082907 keV\n", - "Populating n20= 1.9319153764672143 , T= 22.38268778204285 keV\n", - "Populating n20= 2.18950409332951 , T= 19.664142707300805 keV\n", - "Populating n20= 2.447092810191805 , T= 15.812870518082907 keV\n", - "Populating n20= 1.3738064899322413 , T= 19.890688130195976 keV\n", - "Populating n20= 1.0732863202595635 , T= 17.3986884783491 keV\n", - "Populating n20= 2.9622702439163953 , T= 20.117233553091147 keV\n", - "Populating n20= 2.7046815270541 , T= 21.023415244671828 keV\n", - "Populating n20= 1.674326659604919 , T= 16.039415940978078 keV\n", - "Populating n20= 1.9319153764672143 , T= 22.609233204938022 keV\n", - "Populating n20= 2.18950409332951 , T= 19.890688130195976 keV\n", - "Populating n20= 1.0732863202595635 , T= 17.625233901244272 keV\n", - "Populating n20= 2.7046815270541 , T= 21.249960667567 keV\n", - "Populating n20= 1.9319153764672143 , T= 22.835778627833193 keV\n", - "Populating n20= 1.674326659604919 , T= 16.265961363873245 keV\n", - "Populating n20= 2.447092810191805 , T= 16.039415940978078 keV\n", - "Populating n20= 2.9622702439163953 , T= 20.343778975986318 keV\n", - "Populating n20= 2.18950409332951 , T= 20.117233553091147 keV\n", - "Populating n20= 1.3738064899322413 , T= 20.117233553091147 keV\n", - "Populating n20= 1.0732863202595635 , T= 17.851779324139443 keV\n", - "Populating n20= 2.7046815270541 , T= 21.47650609046217 keV\n", - "Populating n20= 1.674326659604919 , T= 16.492506786768416 keV\n", - "Populating n20= 1.9319153764672143 , T= 23.062324050728364 keV\n", - "Populating n20= 1.3738064899322413 , T= 20.343778975986318 keV\n", - "Populating n20= 1.0732863202595635 , T= 18.07832474703461 keV\n", - "Populating n20= 2.447092810191805 , T= 16.265961363873245 keV\n", - "Populating n20= 2.18950409332951 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7046815270541 , T= 21.703051513357337 keV\n", - "Populating n20= 1.9319153764672143 , T= 23.288869473623535 keV\n", - "Populating n20= 1.674326659604919 , T= 16.719052209663587 keV\n", - "Populating n20= 1.3738064899322413 , T= 20.57032439888149 keV\n", - "Populating n20= 1.0732863202595635 , T= 18.30487016992978 keV\n", - "Populating n20= 2.447092810191805 , T= 16.492506786768416 keV\n", - "Populating n20= 2.7046815270541 , T= 21.92959693625251 keV\n", - "Populating n20= 2.18950409332951 , T= 20.57032439888149 keV\n", - "Populating n20= 1.9319153764672143 , T= 23.515414896518706 keV\n", - "Populating n20= 2.9622702439163953 , T= 20.57032439888149 keV\n", - "Populating n20= 1.3738064899322413 , T= 20.796869821776657 keV\n", - "Populating n20= 1.0732863202595635 , T= 18.531415592824953 keV\n", - "Populating n20= 2.447092810191805 , T= 16.719052209663587 keV\n", - "Populating n20= 2.7046815270541 , T= 22.15614235914768 keV\n", - "Populating n20= 2.18950409332951 , T= 20.796869821776657 keV\n", - "Populating n20= 1.9319153764672143 , T= 23.741960319413877 keV\n", - "Populating n20= 2.9622702439163953 , T= 20.796869821776657 keV\n", - "Populating n20= 1.3738064899322413 , T= 21.023415244671828 keV\n", - "Populating n20= 1.0732863202595635 , T= 18.757961015720124 keV\n", - "Populating n20= 2.7046815270541 , T= 22.38268778204285 keV\n", - "Populating n20= 2.18950409332951 , T= 21.023415244671828 keV\n", - "Populating n20= 1.9319153764672143 , T= 23.968505742309045 keV\n", - "Populating n20= 1.674326659604919 , T= 16.94559763255876 keV\n", - "Populating n20= 2.9622702439163953 , T= 21.023415244671828 keV\n", - "Populating n20= 1.3738064899322413 , T= 21.249960667567 keV\n", - "Populating n20= 1.0732863202595635 , T= 18.98450643861529 keV\n", - "Populating n20= 2.18950409332951 , T= 21.249960667567 keV\n", - "Populating n20= 1.9319153764672143 , T= 24.195051165204216 keV\n", - "Populating n20= 1.674326659604919 , T= 17.17214305545393 keV\n", - "Populating n20= 2.9622702439163953 , T= 21.249960667567 keV\n", - "Populating n20= 1.3738064899322413 , T= 21.47650609046217 keV\n", - "Populating n20= 1.0732863202595635 , T= 19.211051861510462 keV\n", - "Populating n20= 2.447092810191805 , T= 16.94559763255876 keV\n", - "Populating n20= 2.18950409332951 , T= 21.47650609046217 keV\n", - "Populating n20= 1.9319153764672143 , T= 24.421596588099387 keV\n", - "Populating n20= 1.674326659604919 , T= 17.3986884783491 keV\n", - "Populating n20= 2.9622702439163953 , T= 21.47650609046217 keV\n", - "Populating n20= 1.3738064899322413 , T= 21.703051513357337 keV\n", - "Populating n20= 1.0732863202595635 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7046815270541 , T= 22.609233204938022 keV\n", - "Populating n20= 2.18950409332951 , T= 21.703051513357337 keV\n", - "Populating n20= 1.974846829277597 , T= 13.32087086623603 keV\n", - "Populating n20= 1.674326659604919 , T= 17.625233901244272 keV\n", - "Populating n20= 2.9622702439163953 , T= 21.703051513357337 keV\n", - "Populating n20= 1.3738064899322413 , T= 21.92959693625251 keV\n", - "Populating n20= 1.0732863202595635 , T= 19.664142707300805 keV\n", - "Populating n20= 2.447092810191805 , T= 17.17214305545393 keV\n", - "Populating n20= 1.974846829277597 , T= 13.5474162891312 keV\n", - "Populating n20= 1.674326659604919 , T= 17.851779324139443 keV\n", - "Populating n20= 2.18950409332951 , T= 21.92959693625251 keV\n", - "Populating n20= 2.9622702439163953 , T= 21.92959693625251 keV\n", - "Populating n20= 1.3738064899322413 , T= 22.15614235914768 keV\n", - "Populating n20= 1.0732863202595635 , T= 19.890688130195976 keV\n", - "Populating n20= 2.447092810191805 , T= 17.3986884783491 keV\n", - "Populating n20= 1.974846829277597 , T= 13.77396171202637 keV\n", - "Populating n20= 1.674326659604919 , T= 18.07832474703461 keV\n", - "Populating n20= 2.9622702439163953 , T= 22.15614235914768 keV\n", - "Populating n20= 1.0732863202595635 , T= 20.117233553091147 keV\n", - "Populating n20= 1.3738064899322413 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7046815270541 , T= 22.835778627833193 keV\n", - "Populating n20= 2.447092810191805 , T= 17.625233901244272 keV\n", - "Populating n20= 1.974846829277597 , T= 14.000507134921541 keV\n", - "Populating n20= 1.674326659604919 , T= 18.30487016992978 keV\n", - "Populating n20= 2.9622702439163953 , T= 22.38268778204285 keV\n", - "Populating n20= 1.0732863202595635 , T= 20.343778975986318 keV\n", - "Populating n20= 1.3738064899322413 , T= 22.609233204938022 keV\n", - "Populating n20= 2.18950409332951 , T= 22.15614235914768 keV\n", - "Populating n20= 2.447092810191805 , T= 17.851779324139443 keV\n", - "Populating n20= 1.974846829277597 , T= 14.227052557816712 keV\n", - "Populating n20= 1.0732863202595635 , T= 20.57032439888149 keV\n", - "Populating n20= 2.9622702439163953 , T= 22.609233204938022 keV\n", - "Populating n20= 1.3738064899322413 , T= 22.835778627833193 keV\n", - "Populating n20= 1.674326659604919 , T= 18.531415592824953 keV\n", - "Populating n20= 2.18950409332951 , T= 22.38268778204285 keV\n", - "Populating n20= 2.447092810191805 , T= 18.07832474703461 keV\n", - "Populating n20= 1.974846829277597 , T= 14.453597980711884 keV\n", - "Populating n20= 1.0732863202595635 , T= 20.796869821776657 keV\n", - "Populating n20= 1.3738064899322413 , T= 23.062324050728364 keV\n", - "Populating n20= 1.674326659604919 , T= 18.757961015720124 keV\n", - "Populating n20= 2.7046815270541 , T= 23.062324050728364 keV\n", - "Populating n20= 2.18950409332951 , T= 22.609233204938022 keV\n", - "Populating n20= 2.447092810191805 , T= 18.30487016992978 keV\n", - "Populating n20= 1.974846829277597 , T= 14.680143403607053 keV\n", - "Populating n20= 1.0732863202595635 , T= 21.023415244671828 keV\n", - "Populating n20= 1.674326659604919 , T= 18.98450643861529 keV\n", - "Populating n20= 2.18950409332951 , T= 22.835778627833193 keV\n", - "Populating n20= 2.447092810191805 , T= 18.531415592824953 keV\n", - "Populating n20= 2.7046815270541 , T= 23.288869473623535 keV\n", - "Populating n20= 1.3738064899322413 , T= 23.288869473623535 keV\n", - "Populating n20= 1.974846829277597 , T= 14.906688826502224 keV\n", - "Populating n20= 1.0732863202595635 , T= 21.249960667567 keV\n", - "Populating n20= 1.674326659604919 , T= 19.211051861510462 keV\n", - "Populating n20= 2.18950409332951 , T= 23.062324050728364 keV\n", - "Populating n20= 2.447092810191805 , T= 18.757961015720124 keV\n", - "Populating n20= 2.7046815270541 , T= 23.515414896518706 keV\n", - "Populating n20= 1.974846829277597 , T= 15.133234249397393 keV\n", - "Populating n20= 2.9622702439163953 , T= 22.835778627833193 keV\n", - "Populating n20= 1.0732863202595635 , T= 21.47650609046217 keV\n", - "Populating n20= 1.674326659604919 , T= 19.437597284405634 keV\n", - "Populating n20= 2.18950409332951 , T= 23.288869473623535 keV\n", - "Populating n20= 2.447092810191805 , T= 18.98450643861529 keV\n", - "Populating n20= 2.7046815270541 , T= 23.741960319413877 keV\n", - "Populating n20= 1.3738064899322413 , T= 23.515414896518706 keV\n", - "Populating n20= 2.9622702439163953 , T= 23.062324050728364 keV\n", - "Populating n20= 1.674326659604919 , T= 19.664142707300805 keV\n", - "Populating n20= 1.974846829277597 , T= 15.359779672292564 keV\n", - "Populating n20= 2.18950409332951 , T= 23.515414896518706 keV\n", - "Populating n20= 2.447092810191805 , T= 19.211051861510462 keV\n", - "Populating n20= 2.7046815270541 , T= 23.968505742309045 keV\n", - "Populating n20= 1.3738064899322413 , T= 23.741960319413877 keV\n", - "Populating n20= 1.0732863202595635 , T= 21.703051513357337 keV\n", - "Populating n20= 2.9622702439163953 , T= 23.288869473623535 keV\n", - "Populating n20= 1.674326659604919 , T= 19.890688130195976 keV\n", - "Populating n20= 2.18950409332951 , T= 23.741960319413877 keV\n", - "Populating n20= 2.447092810191805 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7046815270541 , T= 24.195051165204216 keV\n", - "Populating n20= 1.3738064899322413 , T= 23.968505742309045 keV\n", - "Populating n20= 2.9622702439163953 , T= 23.515414896518706 keV\n", - "Populating n20= 1.674326659604919 , T= 20.117233553091147 keV\n", - "Populating n20= 2.18950409332951 , T= 23.968505742309045 keV\n", - "Populating n20= 1.974846829277597 , T= 15.586325095187735 keV\n", - "Populating n20= 2.447092810191805 , T= 19.664142707300805 keV\n", - "Populating n20= 2.7046815270541 , T= 24.421596588099387 keV\n", - "Populating n20= 1.0732863202595635 , T= 21.92959693625251 keV\n", - "Populating n20= 2.18950409332951 , T= 24.195051165204216 keV\n", - "Populating n20= 1.974846829277597 , T= 15.812870518082907 keV\n", - "Populating n20= 2.447092810191805 , T= 19.890688130195976 keV\n", - "Populating n20= 2.9622702439163953 , T= 23.741960319413877 keV\n", - "Populating n20= 1.3738064899322413 , T= 24.195051165204216 keV\n", - "Populating n20= 2.7476129798644826 , T= 13.32087086623603 keV\n", - "Populating n20= 1.674326659604919 , T= 20.343778975986318 keV\n", - "Populating n20= 1.0732863202595635 , T= 22.15614235914768 keV\n", - "Populating n20= 2.18950409332951 , T= 24.421596588099387 keV\n", - "Populating n20= 1.974846829277597 , T= 16.039415940978078 keV\n", - "Populating n20= 2.447092810191805 , T= 20.117233553091147 keV\n", - "Populating n20= 2.7476129798644826 , T= 13.5474162891312 keV\n", - "Populating n20= 1.674326659604919 , T= 20.57032439888149 keV\n", - "Populating n20= 1.0732863202595635 , T= 22.38268778204285 keV\n", - "Populating n20= 2.232435546139892 , T= 13.32087086623603 keV\n", - "Populating n20= 1.974846829277597 , T= 16.265961363873245 keV\n", - "Populating n20= 1.3738064899322413 , T= 24.421596588099387 keV\n", - "Populating n20= 2.9622702439163953 , T= 23.968505742309045 keV\n", - "Populating n20= 1.674326659604919 , T= 20.796869821776657 keV\n", - "Populating n20= 1.0732863202595635 , T= 22.609233204938022 keV\n", - "Populating n20= 1.974846829277597 , T= 16.492506786768416 keV\n", - "Populating n20= 2.7476129798644826 , T= 13.77396171202637 keV\n", - "Populating n20= 2.232435546139892 , T= 13.5474162891312 keV\n", - "Populating n20= 1.4167379427426239 , T= 13.32087086623603 keV\n", - "Populating n20= 1.674326659604919 , T= 21.023415244671828 keV\n", - "Populating n20= 2.447092810191805 , T= 20.343778975986318 keV\n", - "Populating n20= 1.0732863202595635 , T= 22.835778627833193 keV\n", - "Populating n20= 2.7476129798644826 , T= 14.000507134921541 keV\n", - "Populating n20= 2.232435546139892 , T= 13.77396171202637 keV\n", - "Populating n20= 1.4167379427426239 , T= 13.5474162891312 keV\n", - "Populating n20= 1.674326659604919 , T= 21.249960667567 keV\n", - "Populating n20= 1.974846829277597 , T= 16.719052209663587 keV\n", - "Populating n20= 2.9622702439163953 , T= 24.195051165204216 keV\n", - "Populating n20= 1.0732863202595635 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7476129798644826 , T= 14.227052557816712 keV\n", - "Populating n20= 2.232435546139892 , T= 14.000507134921541 keV\n", - "Populating n20= 1.4167379427426239 , T= 13.77396171202637 keV\n", - "Populating n20= 1.674326659604919 , T= 21.47650609046217 keV\n", - "Populating n20= 2.9622702439163953 , T= 24.421596588099387 keV\n", - "Populating n20= 1.0732863202595635 , T= 23.288869473623535 keV\n", - "Populating n20= 2.7476129798644826 , T= 14.453597980711884 keV\n", - "Populating n20= 1.974846829277597 , T= 16.94559763255876 keV\n", - "Populating n20= 1.4167379427426239 , T= 14.000507134921541 keV\n", - "Populating n20= 2.447092810191805 , T= 20.57032439888149 keV\n", - "Populating n20= 1.674326659604919 , T= 21.703051513357337 keV\n", - "Populating n20= 3.005201696726778 , T= 13.32087086623603 keV\n", - "Populating n20= 1.0732863202595635 , T= 23.515414896518706 keV\n", - "Populating n20= 2.232435546139892 , T= 14.227052557816712 keV\n", - "Populating n20= 2.7476129798644826 , T= 14.680143403607053 keV\n", - "Populating n20= 1.974846829277597 , T= 17.17214305545393 keV\n", - "Populating n20= 1.674326659604919 , T= 21.92959693625251 keV\n", - "Populating n20= 3.005201696726778 , T= 13.5474162891312 keV\n", - "Populating n20= 1.4167379427426239 , T= 14.227052557816712 keV\n", - "Populating n20= 2.232435546139892 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7476129798644826 , T= 14.906688826502224 keV\n", - "Populating n20= 1.974846829277597 , T= 17.3986884783491 keV\n", - "Populating n20= 1.674326659604919 , T= 22.15614235914768 keV\n", - "Populating n20= 3.005201696726778 , T= 13.77396171202637 keV\n", - "Populating n20= 1.4167379427426239 , T= 14.453597980711884 keV\n", - "Populating n20= 2.232435546139892 , T= 14.680143403607053 keV\n", - "Populating n20= 2.447092810191805 , T= 20.796869821776657 keV\n", - "Populating n20= 2.7476129798644826 , T= 15.133234249397393 keV\n", - "Populating n20= 1.974846829277597 , T= 17.625233901244272 keV\n", - "Populating n20= 1.0732863202595635 , T= 23.741960319413877 keV\n", - "Populating n20= 1.674326659604919 , T= 22.38268778204285 keV\n", - "Populating n20= 1.4167379427426239 , T= 14.680143403607053 keV\n", - "Populating n20= 2.232435546139892 , T= 14.906688826502224 keV\n", - "Populating n20= 3.005201696726778 , T= 14.000507134921541 keV\n", - "Populating n20= 2.7476129798644826 , T= 15.359779672292564 keV\n", - "Populating n20= 1.974846829277597 , T= 17.851779324139443 keV\n", - "Populating n20= 2.447092810191805 , T= 21.023415244671828 keV\n", - "Populating n20= 1.674326659604919 , T= 22.609233204938022 keV\n", - "Populating n20= 1.4167379427426239 , T= 14.906688826502224 keV\n", - "Populating n20= 2.232435546139892 , T= 15.133234249397393 keV\n", - "Populating n20= 2.7476129798644826 , T= 15.586325095187735 keV\n", - "Populating n20= 1.974846829277597 , T= 18.07832474703461 keV\n", - "Populating n20= 2.447092810191805 , T= 21.249960667567 keV\n", - "Populating n20= 1.0732863202595635 , T= 23.968505742309045 keV\n", - "Populating n20= 1.674326659604919 , T= 22.835778627833193 keV\n", - "Populating n20= 1.4167379427426239 , T= 15.133234249397393 keV\n", - "Populating n20= 3.005201696726778 , T= 14.227052557816712 keV\n", - "Populating n20= 2.232435546139892 , T= 15.359779672292564 keV\n", - "Populating n20= 2.7476129798644826 , T= 15.812870518082907 keV\n", - "Populating n20= 1.0732863202595635 , T= 24.195051165204216 keV\n", - "Populating n20= 1.674326659604919 , T= 23.062324050728364 keV\n", - "Populating n20= 2.447092810191805 , T= 21.47650609046217 keV\n", - "Populating n20= 1.4167379427426239 , T= 15.359779672292564 keV\n", - "Populating n20= 2.232435546139892 , T= 15.586325095187735 keV\n", - "Populating n20= 3.005201696726778 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7476129798644826 , T= 16.039415940978078 keV\n", - "Populating n20= 1.0732863202595635 , T= 24.421596588099387 keV\n", - "Populating n20= 2.447092810191805 , T= 21.703051513357337 keV\n", - "Populating n20= 1.4167379427426239 , T= 15.586325095187735 keV\n", - "Populating n20= 2.232435546139892 , T= 15.812870518082907 keV\n", - "Populating n20= 1.974846829277597 , T= 18.30487016992978 keV\n", - "Populating n20= 3.005201696726778 , T= 14.680143403607053 keV\n", - "Populating n20= 2.7476129798644826 , T= 16.265961363873245 keV\n", - "Populating n20= 1.116217773069946 , T= 13.32087086623603 keV\n", - "Populating n20= 2.447092810191805 , T= 21.92959693625251 keV\n", - "Populating n20= 1.4167379427426239 , T= 15.812870518082907 keV\n", - "Populating n20= 1.674326659604919 , T= 23.288869473623535 keV\n", - "Populating n20= 2.7476129798644826 , T= 16.492506786768416 keV\n", - "Populating n20= 2.232435546139892 , T= 16.039415940978078 keV\n", - "Populating n20= 1.116217773069946 , T= 13.5474162891312 keV\n", - "Populating n20= 1.974846829277597 , T= 18.531415592824953 keV\n", - "Populating n20= 3.005201696726778 , T= 14.906688826502224 keV\n", - "Populating n20= 2.447092810191805 , T= 22.15614235914768 keV\n", - "Populating n20= 1.4167379427426239 , T= 16.039415940978078 keV\n", - "Populating n20= 2.7476129798644826 , T= 16.719052209663587 keV\n", - "Populating n20= 1.116217773069946 , T= 13.77396171202637 keV\n", - "Populating n20= 3.005201696726778 , T= 15.133234249397393 keV\n", - "Populating n20= 1.974846829277597 , T= 18.757961015720124 keV\n", - "Populating n20= 2.447092810191805 , T= 22.38268778204285 keV\n", - "Populating n20= 1.4167379427426239 , T= 16.265961363873245 keV\n", - "Populating n20= 2.7476129798644826 , T= 16.94559763255876 keV\n", - "Populating n20= 1.116217773069946 , T= 14.000507134921541 keV\n", - "Populating n20= 1.674326659604919 , T= 23.515414896518706 keV\n", - "Populating n20= 1.974846829277597 , T= 18.98450643861529 keV\n", - "Populating n20= 2.447092810191805 , T= 22.609233204938022 keV\n", - "Populating n20= 1.4167379427426239 , T= 16.492506786768416 keV\n", - "Populating n20= 3.005201696726778 , T= 15.359779672292564 keV\n", - "Populating n20= 2.232435546139892 , T= 16.265961363873245 keV\n", - "Populating n20= 2.7476129798644826 , T= 17.17214305545393 keV\n", - "Populating n20= 1.116217773069946 , T= 14.227052557816712 keV\n", - "Populating n20= 1.674326659604919 , T= 23.741960319413877 keV\n", - "Populating n20= 1.974846829277597 , T= 19.211051861510462 keV\n", - "Populating n20= 2.447092810191805 , T= 22.835778627833193 keV\n", - "Populating n20= 1.4167379427426239 , T= 16.719052209663587 keV\n", - "Populating n20= 2.7476129798644826 , T= 17.3986884783491 keV\n", - "Populating n20= 2.232435546139892 , T= 16.492506786768416 keV\n", - "Populating n20= 1.674326659604919 , T= 23.968505742309045 keV\n", - "Populating n20= 2.447092810191805 , T= 23.062324050728364 keV\n", - "Populating n20= 1.974846829277597 , T= 19.437597284405634 keV\n", - "Populating n20= 1.4167379427426239 , T= 16.94559763255876 keV\n", - "Populating n20= 2.7476129798644826 , T= 17.625233901244272 keV\n", - "Populating n20= 2.232435546139892 , T= 16.719052209663587 keV\n", - "Populating n20= 3.005201696726778 , T= 15.586325095187735 keV\n", - "Populating n20= 1.674326659604919 , T= 24.195051165204216 keV\n", - "Populating n20= 1.974846829277597 , T= 19.664142707300805 keV\n", - "Populating n20= 2.447092810191805 , T= 23.288869473623535 keV\n", - "Populating n20= 1.4167379427426239 , T= 17.17214305545393 keV\n", - "Populating n20= 2.7476129798644826 , T= 17.851779324139443 keV\n", - "Populating n20= 2.232435546139892 , T= 16.94559763255876 keV\n", - "Populating n20= 1.674326659604919 , T= 24.421596588099387 keV\n", - "Populating n20= 2.447092810191805 , T= 23.515414896518706 keV\n", - "Populating n20= 1.974846829277597 , T= 19.890688130195976 keV\n", - "Populating n20= 1.4167379427426239 , T= 17.3986884783491 keV\n", - "Populating n20= 1.116217773069946 , T= 14.453597980711884 keV\n", - "Populating n20= 2.7476129798644826 , T= 18.07832474703461 keV\n", - "Populating n20= 2.232435546139892 , T= 17.17214305545393 keV\n", - "Populating n20= 1.7172581124153017 , T= 13.32087086623603 keV\n", - "Populating n20= 1.974846829277597 , T= 20.117233553091147 keV\n", - "Populating n20= 2.447092810191805 , T= 23.741960319413877 keV\n", - "Populating n20= 2.7476129798644826 , T= 18.30487016992978 keV\n", - "Populating n20= 1.4167379427426239 , T= 17.625233901244272 keV\n", - "Populating n20= 3.005201696726778 , T= 15.812870518082907 keV\n", - "Populating n20= 1.116217773069946 , T= 14.680143403607053 keV\n", - "Populating n20= 2.232435546139892 , T= 17.3986884783491 keV\n", - "Populating n20= 1.7172581124153017 , T= 13.5474162891312 keV\n", - "Populating n20= 1.974846829277597 , T= 20.343778975986318 keV\n", - "Populating n20= 2.447092810191805 , T= 23.968505742309045 keV\n", - "Populating n20= 2.7476129798644826 , T= 18.531415592824953 keV\n", - "Populating n20= 1.4167379427426239 , T= 17.851779324139443 keV\n", - "Populating n20= 1.116217773069946 , T= 14.906688826502224 keV\n", - "Populating n20= 1.7172581124153017 , T= 13.77396171202637 keV\n", - "Populating n20= 1.974846829277597 , T= 20.57032439888149 keV\n", - "Populating n20= 2.447092810191805 , T= 24.195051165204216 keV\n", - "Populating n20= 2.7476129798644826 , T= 18.757961015720124 keV\n", - "Populating n20= 1.4167379427426239 , T= 18.07832474703461 keV\n", - "Populating n20= 1.7172581124153017 , T= 14.000507134921541 keV\n", - "Populating n20= 1.116217773069946 , T= 15.133234249397393 keV\n", - "Populating n20= 3.005201696726778 , T= 16.039415940978078 keV\n", - "Populating n20= 2.447092810191805 , T= 24.421596588099387 keV\n", - "Populating n20= 1.974846829277597 , T= 20.796869821776657 keV\n", - "Populating n20= 2.7476129798644826 , T= 18.98450643861529 keV\n", - "Populating n20= 1.4167379427426239 , T= 18.30487016992978 keV\n", - "Populating n20= 2.232435546139892 , T= 17.625233901244272 keV\n", - "Populating n20= 1.7172581124153017 , T= 14.227052557816712 keV\n", - "Populating n20= 3.005201696726778 , T= 16.265961363873245 keV\n", - "Populating n20= 2.490024263002187 , T= 13.32087086623603 keV\n", - "Populating n20= 1.974846829277597 , T= 21.023415244671828 keV\n", - "Populating n20= 2.7476129798644826 , T= 19.211051861510462 keV\n", - "Populating n20= 1.4167379427426239 , T= 18.531415592824953 keV\n", - "Populating n20= 1.7172581124153017 , T= 14.453597980711884 keV\n", - "Populating n20= 3.005201696726778 , T= 16.492506786768416 keV\n", - "Populating n20= 2.490024263002187 , T= 13.5474162891312 keV\n", - "Populating n20= 1.974846829277597 , T= 21.249960667567 keV\n", - "Populating n20= 2.7476129798644826 , T= 19.437597284405634 keV\n", - "Populating n20= 1.4167379427426239 , T= 18.757961015720124 keV\n", - "Populating n20=Populating n20= 3.005201696726778 , T= 16.719052209663587 keV\n", - "Populating n20= 1.116217773069946 , T= 15.359779672292564 keV\n", - "Populating n20= 2.490024263002187 , T= 13.77396171202637 keV\n", - "Populating n20= 2.232435546139892 , T= 17.851779324139443 keV\n", - "Populating n20= 1.974846829277597 , T= 21.47650609046217 keV\n", - " 1.7172581124153017 , T= 14.680143403607053 keV\n", - "Populating n20= 1.4167379427426239 , T= 18.98450643861529 keV\n", - "Populating n20= 2.7476129798644826 , T= 19.664142707300805 keV\n", - "Populating n20= 3.005201696726778 , T= 16.94559763255876 keV\n", - "Populating n20= 1.116217773069946 , T= 15.586325095187735 keV\n", - "Populating n20= 2.490024263002187 , T= 14.000507134921541 keV\n", - "Populating n20= 2.232435546139892 , T= 18.07832474703461 keV\n", - "Populating n20= 1.974846829277597 , T= 21.703051513357337 keV\n", - "Populating n20= 1.4167379427426239 , T= 19.211051861510462 keV\n", - "Populating n20= 1.7172581124153017 , T= 14.906688826502224 keV\n", - "Populating n20= 3.005201696726778 , T= 17.17214305545393 keV\n", - "Populating n20= 1.116217773069946 , T= 15.812870518082907 keV\n", - "Populating n20= 2.232435546139892 , T= 18.30487016992978 keV\n", - "Populating n20= 1.974846829277597 , T= 21.92959693625251 keV\n", - "Populating n20= 2.490024263002187 , T= 14.227052557816712 keV\n", - "Populating n20= 1.7172581124153017 , T= 15.133234249397393 keV\n", - "Populating n20= 1.4167379427426239 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7476129798644826 , T= 19.890688130195976 keV\n", - "Populating n20= 1.116217773069946 , T= 16.039415940978078 keV\n", - "Populating n20= 2.232435546139892 , T= 18.531415592824953 keV\n", - "Populating n20= 2.490024263002187 , T= 14.453597980711884 keV\n", - "Populating n20= 1.7172581124153017 , T= 15.359779672292564 keV\n", - "Populating n20= 1.4167379427426239 , T= 19.664142707300805 keV\n", - "Populating n20= 2.7476129798644826 , T= 20.117233553091147 keV\n", - "Populating n20= 1.116217773069946 , T= 16.265961363873245 keV\n", - "Populating n20= 2.232435546139892 , T= 18.757961015720124 keV\n", - "Populating n20= 3.005201696726778 , T= 17.3986884783491 keV\n", - "Populating n20= 1.4167379427426239 , T= 19.890688130195976 keV\n", - "Populating n20= 1.7172581124153017 , T= 15.586325095187735 keV\n", - "Populating n20= 1.116217773069946 , T= 16.492506786768416 keV\n", - "Populating n20= 2.232435546139892 , T= 18.98450643861529 keV\n", - "Populating n20= 3.005201696726778 , T= 17.625233901244272 keV\n", - "Populating n20= 1.974846829277597 , T= 22.15614235914768 keV\n", - "Populating n20= 2.7476129798644826 , T= 20.343778975986318 keV\n", - "Populating n20= 1.4167379427426239 , T= 20.117233553091147 keV\n", - "Populating n20= 1.7172581124153017 , T= 15.812870518082907 keV\n", - "Populating n20= 2.232435546139892 , T= 19.211051861510462 keV\n", - "Populating n20= 3.005201696726778 , T= 17.851779324139443 keV\n", - "Populating n20= 2.490024263002187 , T= 14.680143403607053 keV\n", - "Populating n20= 1.4167379427426239 , T= 20.343778975986318 keV\n", - "Populating n20= 1.116217773069946 , T= 16.719052209663587 keV\n", - "Populating n20= 2.232435546139892 , T= 19.437597284405634 keV\n", - "Populating n20= 2.7476129798644826 , T= 20.57032439888149 keV\n", - "Populating n20= 3.005201696726778 , T= 18.07832474703461 keV\n", - "Populating n20= 1.974846829277597 , T= 22.38268778204285 keV\n", - "Populating n20= 1.7172581124153017 , T= 16.039415940978078 keV\n", - "Populating n20= 2.232435546139892 , T= 19.664142707300805 keV\n", - "Populating n20= 1.4167379427426239 , T= 20.57032439888149 keV\n", - "Populating n20= 3.005201696726778 , T= 18.30487016992978 keV\n", - "Populating n20= 1.974846829277597 , T= 22.609233204938022 keV\n", - "Populating n20= 2.7476129798644826 , T= 20.796869821776657 keV\n", - "Populating n20= 2.490024263002187 , T= 14.906688826502224 keV\n", - "Populating n20= 1.4167379427426239 , T= 20.796869821776657 keV\n", - "Populating n20= 3.005201696726778 , T= 18.531415592824953 keV\n", - "Populating n20= 1.974846829277597 , T= 22.835778627833193 keV\n", - "Populating n20= 2.7476129798644826 , T= 21.023415244671828 keV\n", - "Populating n20= 2.232435546139892 , T= 19.890688130195976 keV\n", - "Populating n20= 1.7172581124153017 , T= 16.265961363873245 keV\n", - "Populating n20= 1.4167379427426239 , T= 21.023415244671828 keV\n", - "Populating n20= 3.005201696726778 , T= 18.757961015720124 keV\n", - "Populating n20= 1.116217773069946 , T= 16.94559763255876 keV\n", - "Populating n20= 1.974846829277597 , T= 23.062324050728364 keV\n", - "Populating n20= 1.7172581124153017 , T= 16.492506786768416 keV\n", - "Populating n20= 2.7476129798644826 , T= 21.249960667567 keV\n", - "Populating n20= 1.4167379427426239 , T= 21.249960667567 keV\n", - "Populating n20= 3.005201696726778 , T= 18.98450643861529 keV\n", - "Populating n20= 1.116217773069946 , T= 17.17214305545393 keV\n", - "Populating n20= 2.490024263002187 , T= 15.133234249397393 keV\n", - "Populating n20= 1.974846829277597 , T= 23.288869473623535 keV\n", - "Populating n20= 1.7172581124153017 , T= 16.719052209663587 keV\n", - "Populating n20= 2.7476129798644826 , T= 21.47650609046217 keV\n", - "Populating n20= 1.4167379427426239 , T= 21.47650609046217 keV\n", - "Populating n20= 3.005201696726778 , T= 19.211051861510462 keV\n", - "Populating n20= 1.116217773069946 , T= 17.3986884783491 keV\n", - "Populating n20= 2.232435546139892 , T= 20.117233553091147 keV\n", - "Populating n20= 1.974846829277597 , T= 23.515414896518706 keV\n", - "Populating n20= 1.7172581124153017 , T= 16.94559763255876 keV\n", - "Populating n20= 1.4167379427426239 , T= 21.703051513357337 keV\n", - "Populating n20= 3.005201696726778 , T= 19.437597284405634 keV\n", - "Populating n20= 1.116217773069946 , T= 17.625233901244272 keV\n", - "Populating n20= 2.7476129798644826 , T= 21.703051513357337 keV\n", - "Populating n20= 1.7172581124153017 , T= 17.17214305545393 keV\n", - "Populating n20= 2.490024263002187 , T= 15.359779672292564 keV\n", - "Populating n20= 1.4167379427426239 , T= 21.92959693625251 keV\n", - "Populating n20= 3.005201696726778 , T= 19.664142707300805 keV\n", - "Populating n20= 1.116217773069946 , T= 17.851779324139443 keV\n", - "Populating n20= 2.7476129798644826 , T= 21.92959693625251 keV\n", - "Populating n20= 1.974846829277597 , T= 23.741960319413877 keV\n", - "Populating n20= 2.232435546139892 , T= 20.343778975986318 keV\n", - "Populating n20= 2.490024263002187 , T= 15.586325095187735 keV\n", - "Populating n20= 1.4167379427426239 , T= 22.15614235914768 keV\n", - "Populating n20= 3.005201696726778 , T= 19.890688130195976 keV\n", - "Populating n20= 1.116217773069946 , T= 18.07832474703461 keV\n", - "Populating n20= 2.7476129798644826 , T= 22.15614235914768 keV\n", - "Populating n20= 1.7172581124153017 , T= 17.3986884783491 keV\n", - "Populating n20= 2.232435546139892 , T= 20.57032439888149 keV\n", - "Populating n20= 2.490024263002187 , T= 15.812870518082907 keV\n", - "Populating n20= 1.4167379427426239 , T= 22.38268778204285 keV\n", - "Populating n20= 3.005201696726778 , T= 20.117233553091147 keV\n", - "Populating n20= 1.116217773069946 , T= 18.30487016992978 keV\n", - "Populating n20= 1.7172581124153017 , T= 17.625233901244272 keV\n", - "Populating n20= 2.232435546139892 , T= 20.796869821776657 keV\n", - "Populating n20= 2.490024263002187 , T= 16.039415940978078 keV\n", - "Populating n20= 1.974846829277597 , T= 23.968505742309045 keV\n", - "Populating n20= 1.4167379427426239 , T= 22.609233204938022 keV\n", - "Populating n20= 3.005201696726778 , T= 20.343778975986318 keV\n", - "Populating n20= 1.116217773069946 , T= 18.531415592824953 keV\n", - "Populating n20= 1.7172581124153017 , T= 17.851779324139443 keV\n", - "Populating n20= 2.232435546139892 , T= 21.023415244671828 keV\n", - "Populating n20= 2.490024263002187 , T= 16.265961363873245 keV\n", - "Populating n20= 1.4167379427426239 , T= 22.835778627833193 keV\n", - "Populating n20= 2.7476129798644826 , T= 22.38268778204285 keV\n", - "Populating n20= 3.005201696726778 , T= 20.57032439888149 keV\n", - "Populating n20= 1.116217773069946 , T= 18.757961015720124 keV\n", - "Populating n20= 1.974846829277597 , T= 24.195051165204216 keV\n", - "Populating n20= 2.232435546139892 , T= 21.249960667567 keV\n", - "Populating n20= 1.7172581124153017 , T= 18.07832474703461 keV\n", - "Populating n20= 1.4167379427426239 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7476129798644826 , T= 22.609233204938022 keV\n", - "Populating n20= 3.005201696726778 , T= 20.796869821776657 keV\n", - "Populating n20= 1.974846829277597 , T= 24.421596588099387 keV\n", - "Populating n20= 2.232435546139892 , T= 21.47650609046217 keV\n", - "Populating n20= 1.7172581124153017 , T= 18.30487016992978 keV\n", - "Populating n20= 1.4167379427426239 , T= 23.288869473623535 keV\n", - "Populating n20= 1.116217773069946 , T= 18.98450643861529 keV\n", - "Populating n20= 2.7476129798644826 , T= 22.835778627833193 keV\n", - "Populating n20= 3.005201696726778 , T= 21.023415244671828 keV\n", - "Populating n20= 2.490024263002187 , T= 16.492506786768416 keV\n", - "Populating n20= 2.232435546139892 , T= 21.703051513357337 keV\n", - "Populating n20= 1.7172581124153017 , T= 18.531415592824953 keV\n", - "Populating n20= 2.7476129798644826 , T= 23.062324050728364 keV\n", - "Populating n20= 3.005201696726778 , T= 21.249960667567 keV\n", - "Populating n20= 1.4167379427426239 , T= 23.515414896518706 keV\n", - "Populating n20= 1.116217773069946 , T= 19.211051861510462 keV\n", - "Populating n20= 2.490024263002187 , T= 16.719052209663587 keV\n", - "Populating n20= 2.232435546139892 , T= 21.92959693625251 keV\n", - "Populating n20= 1.7172581124153017 , T= 18.757961015720124 keV\n", - "Populating n20= 3.005201696726778 , T= 21.47650609046217 keV\n", - "Populating n20= 1.4167379427426239 , T= 23.741960319413877 keV\n", - "Populating n20= 1.116217773069946 , T= 19.437597284405634 keV\n", - "Populating n20= 2.490024263002187 , T= 16.94559763255876 keV\n", - "Populating n20= 2.232435546139892 , T= 22.15614235914768 keV\n", - "Populating n20= 1.7172581124153017 , T= 18.98450643861529 keV\n", - "Populating n20= 3.005201696726778 , T= 21.703051513357337 keV\n", - "Populating n20= 1.4167379427426239 , T= 23.968505742309045 keV\n", - "Populating n20= 1.116217773069946 , T= 19.664142707300805 keV\n", - "Populating n20= 2.490024263002187 , T= 17.17214305545393 keV\n", - "Populating n20= 1.7172581124153017 , T= 19.211051861510462 keV\n", - "Populating n20= 2.232435546139892 , T= 22.38268778204285 keV\n", - "Populating n20= 2.7476129798644826 , T= 23.288869473623535 keV\n", - "Populating n20= 3.005201696726778 , T= 21.92959693625251 keV\n", - "Populating n20= 1.116217773069946 , T= 19.890688130195976 keV\n", - "Populating n20= 2.490024263002187 , T= 17.3986884783491 keV\n", - "Populating n20= 1.7172581124153017 , T= 19.437597284405634 keV\n", - "Populating n20= 2.232435546139892 , T= 22.609233204938022 keV\n", - "Populating n20= 2.7476129798644826 , T= 23.515414896518706 keV\n", - "Populating n20= 3.005201696726778 , T= 22.15614235914768 keV\n", - "Populating n20= 1.116217773069946 , T= 20.117233553091147 keV\n", - "Populating n20= 1.4167379427426239 , T= 24.195051165204216 keV\n", - "Populating n20= 2.490024263002187 , T= 17.625233901244272 keV\n", - "Populating n20= 1.7172581124153017 , T= 19.664142707300805 keV\n", - "Populating n20= 2.7476129798644826 , T= 23.741960319413877 keV\n", - "Populating n20= 2.232435546139892 , T= 22.835778627833193 keV\n", - "Populating n20= 3.005201696726778 , T= 22.38268778204285 keV\n", - "Populating n20= 2.490024263002187 , T= 17.851779324139443 keV\n", - "Populating n20= 1.116217773069946 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7476129798644826 , T= 23.968505742309045 keV\n", - "Populating n20= 1.7172581124153017 , T= 19.890688130195976 keV\n", - "Populating n20= 1.4167379427426239 , T= 24.421596588099387 keV\n", - "Populating n20= 3.005201696726778 , T= 22.609233204938022 keV\n", - "Populating n20= 2.490024263002187 , T= 18.07832474703461 keV\n", - "Populating n20= 1.116217773069946 , T= 20.57032439888149 keV\n", - "Populating n20= 2.232435546139892 , T= 23.062324050728364 keV\n", - "Populating n20= 2.7476129798644826 , T= 24.195051165204216 keV\n", - "Populating n20= 1.7172581124153017 , T= 20.117233553091147 keV\n", - "Populating n20= 1.4596693955530065 , T= 13.32087086623603 keV\n", - "Populating n20= 3.005201696726778 , T= 22.835778627833193 keV\n", - "Populating n20= 2.490024263002187 , T= 18.30487016992978 keV\n", - "Populating n20= 1.116217773069946 , T= 20.796869821776657 keV\n", - "Populating n20= 1.7172581124153017 , T= 20.343778975986318 keV\n", - "Populating n20= 2.7476129798644826 , T= 24.421596588099387 keV\n", - "Populating n20= 1.4596693955530065 , T= 13.5474162891312 keV\n", - "Populating n20= 3.005201696726778 , T= 23.062324050728364 keV\n", - "Populating n20= 2.490024263002187 , T= 18.531415592824953 keV\n", - "Populating n20= 1.116217773069946 , T= 21.023415244671828 keV\n", - "Populating n20= 1.7172581124153017 , T= 20.57032439888149 keV\n", - "Populating n20= 2.232435546139892 , T= 23.288869473623535 keV\n", - "Populating n20= 1.4596693955530065 , T= 13.77396171202637 keV\n", - "Populating n20= 3.005201696726778 , T= 23.288869473623535 keV\n", - "Populating n20= 2.490024263002187 , T= 18.757961015720124 keV\n", - "Populating n20= 1.116217773069946 , T= 21.249960667567 keV\n", - "Populating n20= 1.7172581124153017 , T= 20.796869821776657 keV\n", - "Populating n20= 1.4596693955530065 , T= 14.000507134921541 keV\n", - "Populating n20= 2.232435546139892 , T= 23.515414896518706 keV\n", - "Populating n20= 3.005201696726778 , T= 23.515414896518706 keV\n", - "Populating n20= 2.490024263002187 , T= 18.98450643861529 keV\n", - "Populating n20= 1.116217773069946 , T= 21.47650609046217 keV\n", - "Populating n20= 1.7172581124153017 , T= 21.023415244671828 keV\n", - "Populating n20= 1.4596693955530065 , T= 14.227052557816712 keV\n", - "Populating n20= 2.232435546139892 , T= 23.741960319413877 keV\n", - "Populating n20= 3.005201696726778 , T= 23.741960319413877 keV\n", - "Populating n20= 2.490024263002187 , T= 19.211051861510462 keV\n", - "Populating n20= 1.116217773069946 , T= 21.703051513357337 keV\n", - "Populating n20= 1.7172581124153017 , T= 21.249960667567 keV\n", - "Populating n20= 2.232435546139892 , T= 23.968505742309045 keV\n", - "Populating n20= 1.4596693955530065 , T= 14.453597980711884 keV\n", - "Populating n20= 3.005201696726778 , T= 23.968505742309045 keV\n", - "Populating n20= 2.490024263002187 , T= 19.437597284405634 keV\n", - "Populating n20= 1.116217773069946 , T= 21.92959693625251 keV\n", - "Populating n20= 1.7172581124153017 , T= 21.47650609046217 keV\n", - "Populating n20= 1.4596693955530065 , T= 14.680143403607053 keV\n", - "Populating n20= 2.232435546139892 , T= 24.195051165204216 keV\n", - "Populating n20= 3.005201696726778 , T= 24.195051165204216 keV\n", - "Populating n20= 2.490024263002187 , T= 19.664142707300805 keV\n", - "Populating n20= 1.116217773069946 , T= 22.15614235914768 keV\n", - "Populating n20= 1.7172581124153017 , T= 21.703051513357337 keV\n", - "Populating n20= 1.4596693955530065 , T= 14.906688826502224 keV\n", - "Populating n20= 2.232435546139892 , T= 24.421596588099387 keV\n", - "Populating n20= 3.005201696726778 , T= 24.421596588099387 keV\n", - "Populating n20= 2.490024263002187 , T= 19.890688130195976 keV\n", - "Populating n20= 1.116217773069946 , T= 22.38268778204285 keV\n", - "Populating n20= 1.7172581124153017 , T= 21.92959693625251 keV\n", - "Populating n20= 1.4596693955530065 , T= 15.133234249397393 keV\n", - "Populating n20= 2.490024263002187 , T= 20.117233553091147 keV\n", - "Populating n20= 1.116217773069946 , T= 22.609233204938022 keV\n", - "Populating n20= 1.4596693955530065 , T= 15.359779672292564 keV\n", - "Populating n20= 1.7172581124153017 , T= 22.15614235914768 keV\n", - "Populating n20= 2.490024263002187 , T= 20.343778975986318 keV\n", - "Populating n20= 1.116217773069946 , T= 22.835778627833193 keV\n", - "Populating n20= 1.4596693955530065 , T= 15.586325095187735 keV\n", - "Populating n20= 1.7172581124153017 , T= 22.38268778204285 keV\n", - "Populating n20= 2.490024263002187 , T= 20.57032439888149 keV\n", - "Populating n20= 1.116217773069946 , T= 23.062324050728364 keV\n", - "Populating n20= 1.4596693955530065 , T= 15.812870518082907 keV\n", - "Populating n20= 1.7172581124153017 , T= 22.609233204938022 keV\n", - "Populating n20= 2.490024263002187 , T= 20.796869821776657 keV\n", - "Populating n20= 1.116217773069946 , T= 23.288869473623535 keV\n", - "Populating n20= 1.4596693955530065 , T= 16.039415940978078 keV\n", - "Populating n20= 1.7172581124153017 , T= 22.835778627833193 keV\n", - "Populating n20= 2.490024263002187 , T= 21.023415244671828 keV\n", - "Populating n20= 1.116217773069946 , T= 23.515414896518706 keV\n", - "Populating n20= 1.4596693955530065 , T= 16.265961363873245 keV\n", - "Populating n20= 1.7172581124153017 , T= 23.062324050728364 keV\n", - "Populating n20= 2.490024263002187 , T= 21.249960667567 keV\n", - "Populating n20= 1.116217773069946 , T= 23.741960319413877 keV\n", - "Populating n20= 1.4596693955530065 , T= 16.492506786768416 keV\n", - "Populating n20= 1.7172581124153017 , T= 23.288869473623535 keV\n", - "Populating n20= 2.490024263002187 , T= 21.47650609046217 keV\n", - "Populating n20= 1.116217773069946 , T= 23.968505742309045 keV\n", - "Populating n20= 1.4596693955530065 , T= 16.719052209663587 keV\n", - "Populating n20= 1.7172581124153017 , T= 23.515414896518706 keV\n", - "Populating n20= 2.490024263002187 , T= 21.703051513357337 keV\n", - "Populating n20= 1.116217773069946 , T= 24.195051165204216 keV\n", - "Populating n20= 1.4596693955530065 , T= 16.94559763255876 keV\n", - "Populating n20= 1.7172581124153017 , T= 23.741960319413877 keV\n", - "Populating n20= 2.490024263002187 , T= 21.92959693625251 keV\n", - "Populating n20= 1.116217773069946 , T= 24.421596588099387 keV\n", - "Populating n20= 1.4596693955530065 , T= 17.17214305545393 keV\n", - "Populating n20= 1.7172581124153017 , T= 23.968505742309045 keV\n", - "Populating n20= 2.490024263002187 , T= 22.15614235914768 keV\n", - "Populating n20= 1.1591492258803286 , T= 13.32087086623603 keV\n", - "Populating n20= 1.4596693955530065 , T= 17.3986884783491 keV\n", - "Populating n20= 1.7172581124153017 , T= 24.195051165204216 keV\n", - "Populating n20= 2.490024263002187 , T= 22.38268778204285 keV\n", - "Populating n20= 1.1591492258803286 , T= 13.5474162891312 keV\n", - "Populating n20= 1.7172581124153017 , T= 24.421596588099387 keV\n", - "Populating n20= 1.4596693955530065 , T= 17.625233901244272 keV\n", - "Populating n20= 2.490024263002187 , T= 22.609233204938022 keV\n", - "Populating n20= 1.1591492258803286 , T= 13.77396171202637 keV\n", - "Populating n20= 1.4596693955530065 , T= 17.851779324139443 keV\n", - "Populating n20= 2.490024263002187 , T= 22.835778627833193 keV\n", - "Populating n20= 1.1591492258803286 , T= 14.000507134921541 keV\n", - "Populating n20= 1.4596693955530065 , T= 18.07832474703461 keV\n", - "Populating n20= 2.490024263002187 , T= 23.062324050728364 keV\n", - "Populating n20= 1.1591492258803286 , T= 14.227052557816712 keV\n", - "Populating n20= 1.4596693955530065 , T= 18.30487016992978 keV\n", - "Populating n20= 2.490024263002187 , T= 23.288869473623535 keV\n", - "Populating n20= 1.1591492258803286 , T= 14.453597980711884 keV\n", - "Populating n20= 1.4596693955530065 , T= 18.531415592824953 keV\n", - "Populating n20= 2.490024263002187 , T= 23.515414896518706 keV\n", - "Populating n20= 1.1591492258803286 , T= 14.680143403607053 keV\n", - "Populating n20= 1.4596693955530065 , T= 18.757961015720124 keV\n", - "Populating n20= 2.490024263002187 , T= 23.741960319413877 keV\n", - "Populating n20= 1.1591492258803286 , T= 14.906688826502224 keV\n", - "Populating n20= 1.4596693955530065 , T= 18.98450643861529 keV\n", - "Populating n20= 2.490024263002187 , T= 23.968505742309045 keV\n", - "Populating n20= 1.1591492258803286 , T= 15.133234249397393 keV\n", - "Populating n20= 1.4596693955530065 , T= 19.211051861510462 keV\n", - "Populating n20= 2.490024263002187 , T= 24.195051165204216 keV\n", - "Populating n20= 1.1591492258803286 , T= 15.359779672292564 keV\n", - "Populating n20= 1.4596693955530065 , T= 19.437597284405634 keV\n", - "Populating n20= 1.1591492258803286 , T= 15.586325095187735 keV\n", - "Populating n20= 2.490024263002187 , T= 24.421596588099387 keV\n", - "Populating n20= 1.4596693955530065 , T= 19.664142707300805 keV\n", - "Populating n20= 1.1591492258803286 , T= 15.812870518082907 keV\n", - "Populating n20= 1.4596693955530065 , T= 19.890688130195976 keV\n", - "Populating n20= 1.1591492258803286 , T= 16.039415940978078 keV\n", - "Populating n20= 1.4596693955530065 , T= 20.117233553091147 keV\n", - "Populating n20= 1.1591492258803286 , T= 16.265961363873245 keV\n", - "Populating n20= 1.4596693955530065 , T= 20.343778975986318 keV\n", - "Populating n20= 1.1591492258803286 , T= 16.492506786768416 keV\n", - "Populating n20= 1.4596693955530065 , T= 20.57032439888149 keV\n", - "Populating n20= 1.1591492258803286 , T= 16.719052209663587 keV\n", - "Populating n20= 1.4596693955530065 , T= 20.796869821776657 keV\n", - "Populating n20= 1.1591492258803286 , T= 16.94559763255876 keV\n", - "Populating n20= 1.4596693955530065 , T= 21.023415244671828 keV\n", - "Populating n20= 1.1591492258803286 , T= 17.17214305545393 keV\n", - "Populating n20= 1.4596693955530065 , T= 21.249960667567 keV\n", - "Populating n20= 1.1591492258803286 , T= 17.3986884783491 keV\n", - "Populating n20= 1.4596693955530065 , T= 21.47650609046217 keV\n", - "Populating n20= 1.1591492258803286 , T= 17.625233901244272 keV\n", - "Populating n20= 1.4596693955530065 , T= 21.703051513357337 keV\n", - "Populating n20= 1.1591492258803286 , T= 17.851779324139443 keV\n", - "Populating n20= 1.4596693955530065 , T= 21.92959693625251 keV\n", - "Populating n20= 1.1591492258803286 , T= 18.07832474703461 keV\n", - "Populating n20= 1.4596693955530065 , T= 22.15614235914768 keV\n", - "Populating n20= 1.1591492258803286 , T= 18.30487016992978 keV\n", - "Populating n20= 1.4596693955530065 , T= 22.38268778204285 keV\n", - "Populating n20= 1.1591492258803286 , T= 18.531415592824953 keV\n", - "Populating n20= 1.4596693955530065 , T= 22.609233204938022 keV\n", - "Populating n20= 1.1591492258803286 , T= 18.757961015720124 keV\n", - "Populating n20= 1.4596693955530065 , T= 22.835778627833193 keV\n", - "Populating n20= 1.1591492258803286 , T= 18.98450643861529 keV\n", - "Populating n20= 1.4596693955530065 , T= 23.062324050728364 keV\n", - "Populating n20= 1.1591492258803286 , T= 19.211051861510462 keV\n", - "Populating n20= 1.4596693955530065 , T= 23.288869473623535 keV\n", - "Populating n20= 1.1591492258803286 , T= 19.437597284405634 keV\n", - "Populating n20= 1.4596693955530065 , T= 23.515414896518706 keV\n", - "Populating n20= 1.1591492258803286 , T= 19.664142707300805 keV\n", - "Populating n20= 1.4596693955530065 , T= 23.741960319413877 keV\n", - "Populating n20= 1.1591492258803286 , T= 19.890688130195976 keV\n", - "Populating n20= 1.4596693955530065 , T= 23.968505742309045 keV\n", - "Populating n20= 1.1591492258803286 , T= 20.117233553091147 keV\n", - "Populating n20= 1.4596693955530065 , T= 24.195051165204216 keV\n", - "Populating n20= 1.1591492258803286 , T= 20.343778975986318 keV\n", - "Populating n20= 1.4596693955530065 , T= 24.421596588099387 keV\n", - "Populating n20= 1.1591492258803286 , T= 20.57032439888149 keV\n", - "Populating n20= 1.1591492258803286 , T= 20.796869821776657 keV\n", - "Populating n20= 1.1591492258803286 , T= 21.023415244671828 keV\n", - "Populating n20= 1.1591492258803286 , T= 21.249960667567 keV\n", - "Populating n20= 1.1591492258803286 , T= 21.47650609046217 keV\n", - "Populating n20= 1.1591492258803286 , T= 21.703051513357337 keV\n", - "Populating n20= 1.1591492258803286 , T= 21.92959693625251 keV\n", - "Populating n20= 1.1591492258803286 , T= 22.15614235914768 keV\n", - "Populating n20= 1.1591492258803286 , T= 22.38268778204285 keV\n", - "Populating n20= 1.1591492258803286 , T= 22.609233204938022 keV\n", - "Populating n20= 1.1591492258803286 , T= 22.835778627833193 keV\n", - "Populating n20= 1.1591492258803286 , T= 23.062324050728364 keV\n", - "Populating n20= 1.1591492258803286 , T= 23.288869473623535 keV\n", - "Populating n20= 1.1591492258803286 , T= 23.515414896518706 keV\n", - "Populating n20= 1.1591492258803286 , T= 23.741960319413877 keV\n", - "Populating n20= 1.1591492258803286 , T= 23.968505742309045 keV\n", - "Populating n20= 1.1591492258803286 , T= 24.195051165204216 keV\n", - "Populating n20= 1.1591492258803286 , T= 24.421596588099387 keV\n" - ] - } - ], + "outputs": [], "source": [ "# This runs the POPCON\n", "pc.run_POPCON()" @@ -5199,43 +81,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "H89 min: 1.0662102804110056, max: 1.5791334779769983, levels: 10\n", - "Plotting H89 with levels [1.07687238 1.13092458 1.18497677 1.23902897 1.29308117 1.34713336\n", - " 1.40118556 1.45523775 1.50928995 1.56334214] and options ['blue', 2, '$H_{89}$', 12, '%.2f']\n", - "betaN min: 0.5850048558029816, max: 3.5740880516496065, levels: 5\n", - "Plotting betaN with levels [0.5908549 1.32772797 2.06460104 2.8014741 3.53834717] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.d']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/_r/vpggfj357bb73_zlfthgdrhm0000gp/T/ipykernel_41804/661259330.py:12: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", - " fig.show()\n" - ] - } - ], + "outputs": [], "source": [ "pc.update_plotsettings()\n", "fig, ax = pc.plot(show=True)\n", @@ -5262,48 +110,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Params:\n", - "n_i_average = 1.781475923938329 x 10^20 m^-3\n", - "n_e_average = 1.945 x 10^20 m^-3\n", - "n_G = 2.210 x 10^20 m^-3\n", - "n_i_axis = 2.422 x 10^20 m^-3\n", - "n_e_axis = 2.645 x 10^20 m^-3\n", - "Ti_average = 7.3 keV\n", - "Ti_axis = 16.2 keV\n", - "Solution:\n", - "P_aux = 98.59 MW\n", - "P_fusion = 473.51 MW\n", - "P_SOL = 79.62 MW\n", - "P_load = 0.299 MW/m^2\n", - "P_ohmic = 1.737 MW\n", - "P_brems = 27.508 MW\n", - "P_synch = 7.957 MW\n", - "P_imprad = 85.747 MW\n", - "P_rad = 121.21 MW\n", - "P_heat = 167.88 MW\n", - "P_alpha = 94.70 MW\n", - "P_dd = 0.533 MW\n", - "P_dt = 472.98 MW\n", - "Wtot/TauE = 165.37 MW\n", - "f_rad = 0.604 \n", - "tauE = 0.785 s\n", - "Q = 4.720 \n", - "H89 = 1.37\n", - "H98 = 0.79\n", - "vloop = 0.1737 V\n", - "betaN = 2.088\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "pc.single_point(n_G_frac=0.88,Ti_av=7.3)" ] @@ -5319,88 +128,18 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "H89 min: 1.1893494705075673, max: 1.646351657007534, levels: 10\n", - "Plotting H89 with levels [1.20124297 1.24887021 1.29649745 1.34412469 1.39175193 1.43937917\n", - " 1.48700642 1.53463366 1.5822609 1.62988814] and options ['blue', 2, '$H_{89}$', 12, '%.2f']\n", - "betaN min: 0.6538970166158355, max: 3.625120424744912, levels: 5\n", - "Plotting betaN with levels [0.66043599 1.3925443 2.1246526 2.85676091 3.58886922] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.d']\n" - ] - } - ], + "outputs": [], "source": [ "pc.write_output(name='test',archive=False,overwrite=True)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Impurity fractions = [0.025 0. 0. 0.00122461 0. 0. ] calculated from Zeff_target.\n", - "gEQDSK geometry:\n", - "Minor radius: 1.1994801681532419\n", - "Major radius: 4.550482081828347\n", - "Elongation: 1.39990598739843\n", - "Triangularity: -0.4490115238844408\n", - "z0: -1.3209168668870674e-06\n", - "gEQDSK Ip: 10.00154156095017\n", - "Len of psin: 50\n", - "Len of sqrtpsin: 100\n", - "Len of volgrid: 100\n", - "Len of jrms: 100\n", - "Len of qr: 100\n", - "Len of agrid: 100\n", - "Len of ftrapped_profile: 100\n", - "(100,)\n", - "Warning: gEQDSK triangularity (-0.4490115238844408) differs significantly from settings delta (-0.5). Defaulting to gEQDSK value.\n", - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "H89 min: 1.189349470507567, max: 1.646351657007534, levels: 10\n", - "Plotting H89 with levels [1.20124297 1.24887021 1.29649745 1.34412469 1.39175193 1.43937917\n", - " 1.48700642 1.53463366 1.5822609 1.62988814] and options ['blue', 2, '$H_{89}$', 12, '%.2f']\n", - "betaN min: 0.6538970166158355, max: 3.625120424744912, levels: 5\n", - "Plotting betaN with levels [0.66043599 1.3925443 2.1246526 2.85676091 3.58886922] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.d']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(
,\n", - " )" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pcread = op.POPCON()\n", "pcread.read_output('test')\n", diff --git a/openpopcon/resources/examples/NSF/NSF_run.ipynb b/openpopcon/resources/examples/NSF/NSF_run.ipynb index 8c06368..9e08b43 100644 --- a/openpopcon/resources/examples/NSF/NSF_run.ipynb +++ b/openpopcon/resources/examples/NSF/NSF_run.ipynb @@ -2,90 +2,34 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.1.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.1.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.2.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_reactivity-344.py310.3.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_rads-34.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/resources/examples/NSF/../../../src/lib/__pycache__/phys_lib.get_rads-34.py310.1.nbc'\n" - ] - } - ], + "outputs": [], "source": [ - "import sys\n", - "sys.path.append('../../../')\n", - "from src import openpopcon as op\n", + "import openpopcon as op\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", - "OP_HOME = '../../../'\n", "\n", "settingsfile = \"./NSF_POPCON.yaml\"\n", "plotsettingsfile = \"./plotsettings.yml\"\n", - "scalinglawfile = f\"{OP_HOME}/resources/scalinglaws.yml\"\n", "\n", - "pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile, scalinglawfile=scalinglawfile)" + "pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile)" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(200,)\n", - "Warning: gEQDSK Ip (0.8053416625170207) differs significantly from settings Ip (1.0). Defaulting to gEQDSK value.\n", - "Setting up algorithm object\n", - "Solving power balance equations\n", - "Power balance solutions found. Populating output arrays.\n" - ] - } - ], + "outputs": [], "source": [ "pc.run_POPCON()" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux with levels [1.e-01 1.e+00 1.e+01 5.e+01 1.e+02 5.e+02 2.e+03] and options ['r', 3, '$P_{aux}$', 12, '%1.0e']\n", - "Plotting Pohmic with levels [0.11285699 0.28569832 0.45853965 0.63138098 0.80422231 0.97706364\n", - " 1.14990497 1.3227463 1.49558763 1.66842896] and options ['orange', 2, '$P_{OH}$', 12, '%1.1e']\n", - "Plotting Pbrems with levels [0.00103909 0.0650373 0.12903552 0.19303373 0.25703195] and options ['purple', 2, '$P_{brems}$', 12, '%1.0e']\n", - "Plotting H98 with levels [ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.] and options ['blue', 2, '$H_{98y2}$', 12, '%.1f']\n", - "Plotting betaN with levels [ 0.18818365 3.0778909 5.96759814 8.85730538 11.74701263] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.d']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "pc.update_plotsettings()\n", "fig, ax = pc.plot()" @@ -105,117 +49,6 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "import sys\n", - "import numpy as np\n", - "import os\n", - "import openpopcon_sf_geom_lc as pc\n", - "\n", - "from scipy.integrate import IntegrationWarning\n", - "import warnings\n", - "warnings.filterwarnings('ignore',category=IntegrationWarning)\n", - "\n", - "sys.path.append(\"../../\")\n", - "sys.path.append(os.getcwd())\n", - "\n", - "from yaml2arc import yaml2popcon\n", - "from popcon_lc import POPCON_run,POPCON_scan\n", - "\n", - "#----------------------------------------------------------#\n", - "# CHANGE VARIABLES HERE\n", - "#----------------------------------------------------------#\n", - "\n", - "# YAML file name (without .yaml extension) - this will be used to name output files as well\n", - "# filename = 'NARC1_base_universal_gamma'\n", - "# filename = 'NARC1_' + 'ND23_th' # IPB98y2, L89, ND23_kd, ND23_th, ND23_th_plus, ND23_th_minus\n", - "# filename = 'ITER'\n", - "# filename = 'ITER_like'\n", - "# filename = 'DIIID_NT_Reactor'\n", - "# filename = 'DIIID_NT_Reactor_ITERsize'\n", - "# filename = 'Toy'\n", - "filename = 'Cmod-NT'\n", - "\n", - "\n", - "# Toggle True to use a realistic EQDSK\n", - "geom = False\n", - "# eqdskfile = 'MANTA_a2023'\n", - "# eqdskfile = 'gITER_NT'\n", - "# eqdskfile = 'ITER_IBS_highres'\n", - "# eqdskfile = 'gDIII_pilot_ARCSIZE'\n", - "# eqdskfile = 'gDIII_pilot_q27'\n", - "# eqdskfile = 'gDIII_pilot_ARCSIZE'\n", - "# eqdskfile = 'gDIII_pilot_small'\n", - "# eqdskfile = 'gDIII_pilot_R30'\n", - "eqdskfile = 'gNT_CMOD_NSF'\n", - "# eqdskfile = 'cmod_nt_geqdsk'\n", - "\n", - "# Set to False if you want to use raw YAML data\n", - "run_physics_corrections = False\n", - "# use_negd_taue_scaling = True\n", - "# Bmax=21\n", - "Bmax = 13.9349825813\n", - "# Bmax=10\n", - "# Bmax=7.8238 # ITER_NT\n", - "shield_b=0.0\n", - "# shield_b=0 # ITER_NT\n", - "q_goal=2.6\n", - "Z_eff_goal=1.5\n", - "\n", - "# Change to format , to scan over one or two variables. Leave as '',np.empty(0) otherwise\n", - "# scan1label,scan1vals = 'scalinglaw',np.asarray(['L89','ND23_th','IPB98y2'])\n", - "# scan2label,scan2vals = 'H',np.asarray([1,2])\n", - "# scan1label,scan1vals = 'scalinglaw',np.asarray(['ND23_th'])\n", - "# scan2label,scan2vals = 'H',np.asarray([1])\n", - "scan1label,scan1vals = 'scalinglaw',np.asarray(['L89','ND23_th','IPB98y2'])\n", - "scan2label,scan2vals = '',np.empty(0)\n", - "\n", - "plot = True # Print matplotlib plot to screen (ignored for scans)\n", - "save_img = True # Save POPCON pdf plots to images/popcon folder\n", - "save_yaml = True\n", - "save_FULL = True\n", - "\n", - "save_pkl = False # Save pickled POPCON objects to pickle folder (DON'T USE FOR NOW...)\n", - "\n", - "#----------------------------------------------------------#\n", - "# DO NOT TOUCH UNDER HERE\n", - "#----------------------------------------------------------#\n", - "\n", - "yamldir = os.path.dirname(__file__)+'/../yaml/'\n", - "eqdskdir = os.path.dirname(__file__)+'/../eqdsk/'\n", - "POP_ = pc.POPCON()\n", - "POPyaml = yaml2popcon(yamldir+filename,POP_)\n", - "POPyaml.geom,POPyaml.eqdsk_name= geom,f'{eqdskdir}{eqdskfile}'\n", - "POPyaml.maxit = 2000\n", - "POPyaml.doFort = False\n", - "POPyaml.ddscope = True\n", - "if scan1label != '' and scan1vals.size != 0:\n", - " POPCON_scan(POPyaml,filename=filename,xlabel=scan1label,xvals=scan1vals,ylabel=scan2label,yvals=scan2vals,\n", - " save_pkl=save_pkl,save_img=save_img,save_yaml=save_yaml,save_FULL=save_FULL,\n", - " run_physics_corrections=run_physics_corrections,\n", - " Bmax=Bmax,shield_b=shield_b,q_goal=q_goal,Z_eff_goal=Z_eff_goal)\n", - "else:\n", - " POPCON_run(POPyaml,filename=filename,run_name=filename,plot=plot,\n", - " save_pkl=save_pkl,save_img=save_img,save_yaml=save_yaml,save_FULL=save_FULL,\n", - " run_physics_corrections=run_physics_corrections,\n", - " Bmax=Bmax,shield_b=shield_b,q_goal=q_goal,Z_eff_goal=Z_eff_goal)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "## Example of how to make a manual plot\n", "\n", diff --git a/openpopcon/resources/examples/NSF/makeNSFprofiles.py b/openpopcon/resources/examples/NSF/makeNSFprofiles.py index 2f80bd1..76391f6 100644 --- a/openpopcon/resources/examples/NSF/makeNSFprofiles.py +++ b/openpopcon/resources/examples/NSF/makeNSFprofiles.py @@ -1,6 +1,8 @@ # Define profiles.csv from parameters alpha1, alpha2, such that # f = (f_center-f_edge)*(1-rho**alpha1)**alpha2 + f_edge +import pathlib + import numpy as np import matplotlib.pyplot as plt import pandas as pd @@ -32,4 +34,4 @@ data = {'n_e':n_e,'n_i':n_i,'T_i':T_i,'T_e':T_e,'rho':rho} df = pd.DataFrame(data) -df.to_csv("./resources/examples/NSF/pNSF.csv", index=False) +df.to_csv(pathlib.Path(__file__).resolve().parent / "pNSF.csv", index=False) diff --git a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb index b686966..48712c6 100644 --- a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb +++ b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb @@ -10,21 +10,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import sys\n", - "import pathlib\n", - "OP_HOME = '../../../'\n", - "sys.path.append(str(pathlib.Path(OP_HOME).resolve())) \n", - "#–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\n", - "# ^^^ This must be done to import the openpopcon module from the src directory.\n", - "# When running this from another directory, change the OP_HOME variable to the\n", - "# path of the openpopcon directory.\n", - "#–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\n", "import numpy as np\n", - "from src import openpopcon as op" + "import openpopcon as op" ] }, { @@ -42,35 +33,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_Zeffs-13.py310.1.nbc'\n", - "Impurity fractions = [0.025 0. 0.00170729 0. 0. 0. ] calculated from Zeff_target.\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.1.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.2.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_reactivity-344.py310.3.nbc'\n", - "[cache] index loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_rads-34.py310.nbi'\n", - "[cache] data loaded from '/Users/pharr/Projects/OpenPOPCON/OpenPOPCON/src/lib/__pycache__/phys_lib.get_rads-34.py310.1.nbc'\n" - ] - } - ], + "outputs": [], "source": [ "settingsfile = \"./POPCON_input_example.yaml\"\n", "plotsettingsfile = \"./plotsettings.yml\"\n", - "scalinglawfile = f\"{OP_HOME}/resources/scalinglaws.yml\"\n", "\n", "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile, \n", - " scalinglawfile=scalinglawfile)" + " plotsettingsfile=plotsettingsfile, " ] }, { @@ -86,389 +57,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Setting up algorithm object\n", - "Solving power balance equations\n", - "Warning: Impurity radiation exceeds confinement loss. State n20=Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 8.221238127615297 is not physical.\n", - " 6.419524273194086 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.724033418151265 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.767269700715496 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.5792940872679747 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.071778845672676 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.419524273194086 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.115015128236907 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.15166375270962 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.462760555758317 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.991893938635731 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.9486576560715 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.644148511114321 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.296403083592911 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.339639366157142 T= 13.310576016139052 is not physical.\n", - "Power balance relaxation solver found nan but did not converge in {max_iters} iterations in state n20= 0.5792940872679747 T= 14.03762428592816 keV.\n", - "NaN detected in P_aux_relax_impfrac. State n20= 0.5792940872679747 T= 14.03762428592816 keV.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.687384793678552 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.376287990629855 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.216518176555965 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.173281893991735 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.868772749034556 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.912009031598787 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.521027321513146 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.564263604077377 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.60091222855009 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 8.948286397404406 is not physical.\n", - "Power balance relaxation solver found nan but did not converge in {max_iters} iterations in state n20= 0.5792940872679747 T= 28.57858968171032 keV.\n", - "NaN detected in P_aux_relax_impfrac. State n20= 0.5792940872679747 T= 28.57858968171032 keV.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.39790613191197 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.4411424144762 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.093396986954791 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.136633269519022 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.745651559433381 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 2.825536466470325 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 9.788887841997612 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 0.8039183251882097 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.318021224875026 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.665766652396437 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.622530369832206 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.361257507439257 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.013512079917847 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 5.970275797353616 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.05016070439056 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.0285425631084448 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 8.890390890316672 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 7.542645462795261 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 4.847154607752441 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 11.585881745359492 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 6.194900035273851 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 10.238136317838082 T= 13.310576016139052 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.274784942310795 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 3.49940918023103 T= 12.583527746349946 is not physical.\n", - "Power balance relaxation solver found nan but did not converge in {max_iters} iterations in state n20= 1.2531668010286798 T= 8.948286397404406 keV.\n", - "NaN detected in P_aux_relax_impfrac. State n20= 1.2531668010286798 T= 8.948286397404406 keV.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.2531668010286798 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.4777910389489148 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.70241527686915 T= 12.583527746349946 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 8.221238127615297 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 8.948286397404406 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 9.675334667193514 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 10.402382936982622 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 11.129431206771729 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 11.856479476560837 is not physical.\n", - "Warning: Impurity radiation exceeds confinement loss. State n20= 1.927039514789385 T= 12.583527746349946 is not physical.\n", - "Power balance solutions found. Populating output arrays.\n" - ] - } - ], + "outputs": [], "source": [ "# # This runs the POPCON\n", "\n", @@ -480,7 +71,7 @@ "# pc.settings.parallel = False\n", "# %timeit pc.run_POPCON()\n", "\n", - "pc.run_POPCON()\n" + "pc.run_POPCON()" ] }, { @@ -495,40 +86,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "Plotting H98 with levels [0.99 0.995 1. 1.005 1.01 ] and options ['blue', 2, '$H_{98y2}$', 12, '%.1f']\n", - "Plotting betaN with levels [0.14005233 2.49666569 4.85327905 7.20989241 9.56650577] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.2f']\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/_r/vpggfj357bb73_zlfthgdrhm0000gp/T/ipykernel_42330/55148306.py:12: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", - " fig.show()\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "pc.update_plotsettings()\n", "fig, ax = pc.plot(show=False)\n", @@ -555,68 +115,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Params:\n", - "n_i_average = 2.918293044632052 x 10^20 m^-3\n", - "n_e_average = 3.154 x 10^20 m^-3\n", - "n_G = 8.524 x 10^20 m^-3\n", - "n_i_axis = 3.965 x 10^20 m^-3\n", - "n_e_axis = 4.285 x 10^20 m^-3\n", - "Ti_average = 7.3 keV\n", - "Ti_axis = 20.0 keV\n", - "Solution:\n", - "P_aux = 9.51 MW\n", - "P_fusion = 159.91 MW\n", - "P_SOL = 27.01 MW\n", - "P_load = 0.437 MW/m^2\n", - "P_ohmic = 0.147 MW\n", - "P_brems = 6.079 MW\n", - "P_synch = 2.755 MW\n", - "P_imprad = 7.793 MW\n", - "P_rad = 16.63 MW\n", - "P_heat = 35.69 MW\n", - "P_alpha = 31.98 MW\n", - "P_dd = 0.184 MW\n", - "P_dt = 159.73 MW\n", - "Wtot/TauE = 34.81 MW\n", - "f_rad = 0.381 \n", - "tauE = 0.778 s\n", - "Q = 16.810 \n", - "H89 = 2.05\n", - "H98 = 1.00\n", - "vloop = 0.0169 V\n", - "betaN = 1.632\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "pc.single_point(n_G_frac=0.37,Ti_av=7.3)" ] @@ -632,66 +133,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "Plotting H98 with levels [0.99 0.995 1. 1.005 1.01 ] and options ['blue', 2, '$H_{98y2}$', 12, '%.1f']\n", - "Plotting betaN with levels [0.12144182 2.53152844 4.94161506 7.35170168 9.76178829] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.2f']\n" - ] - } - ], + "outputs": [], "source": [ "pc.write_output(name='sparc_test',archive=False,overwrite=True)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Impurity fractions = [0.025 0. 0.00170729 0. 0. 0. ] calculated from Zeff_target.\n", - "Plotting Paux with levels [1.0e-01 1.0e+00 1.0e+01 2.5e+01 5.0e+01 1.0e+02 5.0e+02 2.0e+03] and options ['r', 3, '$P_{aux}$', 12, '%.2d']\n", - "Plotting Pfusion with levels [ 100. 200. 500. 1000. 2000. 4000.] and options ['k', 2, '$P_{fus}$', 12, '%.2d']\n", - "Plotting Prad with levels [ 10. 50. 100. 200.] and options ['purple', 2, '$P_{rad}$', 12, '%.2d']\n", - "Plotting Q with levels [ 0.5 1. 2. 5. 10. 25. 50. 100. ] and options ['orange', 2, '$Q$', 12, '%.f']\n", - "Plotting H98 with levels [0.99 0.995 1. 1.005 1.01 ] and options ['blue', 2, '$H_{98y2}$', 12, '%.1f']\n", - "Plotting betaN with levels [0.12144182 2.53152844 4.94161506 7.35170168 9.76178829] and options ['forestgreen', 2, '$\\\\beta_N$', 12, '%.2f']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(
,\n", - " )" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pcread = op.POPCON()\n", "pcread.read_output('sparc_test')\n", diff --git a/pyproject.toml b/pyproject.toml index 438aa95..f56fa18 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,40 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + [project] name = "openpopcon" version = "2.0.0" description = "0-D tokamak scoping tool for Columbia's Fusion Reactor Design course" +readme = "README.MD" requires-python = ">=3.10,<3.14" dependencies = [ "numpy>=2.0", # np.trapezoid, which replaced np.trapz "scipy", "matplotlib", + "contourpy", # imported directly by lib/openpopcon_util.py "numba", "pyyaml", + "xarray", ] [project.optional-dependencies] notebooks = ["jupyterlab"] +# installs a netCDF4 backend; without it xarray writes netCDF3 via scipy +netcdf4 = ["h5netcdf"] + +[project.scripts] +openpopcon = "openpopcon.cli:main" -[tool.uv] -package = false +[tool.hatch.build.targets.wheel] +packages = ["openpopcon"] + +# openpopcon/resources (the two config YAMLs and the worked examples) is picked +# up with the package; the numba cache artifacts are not +[tool.hatch.build] +exclude = [ + "**/__pycache__", + "**/*.nbc", + "**/*.nbi", + "**/*.pyc", +] diff --git a/uv.lock b/uv.lock index e6ebbf9..a4e1a4a 100644 --- a/uv.lock +++ b/uv.lock @@ -8,7 +8,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-07-13T08:53:58.790952Z" +exclude-newer = "2026-07-13T17:17:09.219247Z" exclude-newer-span = "P1W" [[package]] @@ -1535,8 +1535,10 @@ wheels = [ [[package]] name = "openpopcon" version = "2.0.0" -source = { virtual = "." } +source = { editable = "." } dependencies = [ + { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "matplotlib", version = "3.10.9", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "matplotlib", version = "3.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "numba" }, @@ -1555,6 +1557,7 @@ notebooks = [ [package.metadata] requires-dist = [ + { name = "contourpy" }, { name = "jupyterlab", marker = "extra == 'notebooks'" }, { name = "matplotlib" }, { name = "numba" }, From 137436bc93c6b2f23232fc6079f296b277fd00a3 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 19:22:24 -0400 Subject: [PATCH 09/14] refactor: update README and examples for clarity and consistency; remove deprecated environment file --- README.MD | 4 +- environment.yml | 13 ---- openpopcon/core.py | 72 +++++++++++-------- .../resources/examples/MANTA/manta_ex.ipynb | 4 +- .../resources/examples/NSF/NSF_run.ipynb | 2 +- .../resources/examples/SPARC/SPARC_EX.ipynb | 4 +- 6 files changed, 52 insertions(+), 47 deletions(-) delete mode 100644 environment.yml diff --git a/README.MD b/README.MD index fbc23f0..2e8429c 100644 --- a/README.MD +++ b/README.MD @@ -69,6 +69,8 @@ ValueError: Found 2 problem(s) in .../POPCON_input_example.yaml: Grid points where power balance has no physical solution are reported in aggregate after a run and masked out of the plot. +The trapped particle fraction that the neoclassical resistivity needs is taken from the gEQDSK when one is supplied. Without a gEQDSK it falls back to `f_t = sqrt(2*rho*a/R)`, which stays below 1 for the aspect ratios these examples use but would not for a spherical tokamak. + ## Bibliography [1] H.-S. Bosch and G. M. Hale, *Improved Formulas for Fusion Cross-Sections and Thermal Reactivities,* Nucl. Fusion **32**, 611 (1992). @@ -123,7 +125,7 @@ class POPCON: self.algorithms: POPCON_algorithms # sets up State, calls the functions above self.settings: POPCON_settings self.plotsettings: POPCON_plotsettings - self.output: POPCON_data # output arrays at power balance + self.output: xarray.Dataset # output arrays at power balance def run_POPCON(self): "Sets up and solves the whole n,T grid" diff --git a/environment.yml b/environment.yml deleted file mode 100644 index 9c74c51..0000000 --- a/environment.yml +++ /dev/null @@ -1,13 +0,0 @@ -# run: conda env create --file environment.yml -name: openpopcon -channels: -- conda-forge -dependencies: -- python>=3.10,<3.14 -- pip -- numpy>=2.0 -- scipy -- matplotlib -- numba -- pyyaml -- jupyterlab diff --git a/openpopcon/core.py b/openpopcon/core.py index e310d31..c0db9a3 100644 --- a/openpopcon/core.py +++ b/openpopcon/core.py @@ -17,7 +17,6 @@ """ import numpy as np -import numpy.typing as npt import matplotlib.pyplot as plt import matplotlib.patches as patches import yaml @@ -31,7 +30,6 @@ from .lib import phys_lib as phys import shutil import datetime -from .lib import neat_json_encoder as nj # resistivity_model in the settings file -> resistivity_alg on the State RESISTIVITY_MODELS = {"jardin": 0, "paz-soldan": 1, "maximum": 2, "max": 2} @@ -51,6 +49,9 @@ INVALID_NAN: "no real solution to power balance", } +# a solved point that needs no auxiliary heating +NOAUX = 3 + # every key POPCON_settings.read understands; anything else in a settings file # is ignored, so it gets reported as a likely typo KNOWN_SETTINGS_KEYS = { @@ -262,7 +263,8 @@ def eta_NC(s, rho, T_e_keV:float, n_e_20:float): invaspect = s.a/s.R if not s.ftrappeddefined: - f_t = np.sqrt(2*rho*invaspect) + # Cap possible trapped particle fraction at 1 + f_t = np.minimum(np.sqrt(2*rho*invaspect), 1.0) nu_star_e = 1/10.2e16 * s.R * q * n_e_r * np.exp(logLambda) / (f_t * invaspect * (T_e_r*1e3)**2) eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t/( 1 + xi * nu_star_e ) ) else: @@ -545,7 +547,7 @@ def Q_fusion(s, T_i_keV:float, n_e_20:float, Paux:float) -> float: n_i_20 = n_e_20*dil P_fusion = volume_integral(s, s.sqrtpsin, _P_fusion(s, s.sqrtpsin, T_i_keV, n_i_20)) P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) - if Paux == 0: + if Paux + P_OH <= 0.: return 9999999. else: return P_fusion/(Paux + P_OH) @@ -560,8 +562,8 @@ def P_aux_impfrac(s, n_e_20, T_i_keV): """ Closed-form power balance solver for the impurity-fraction-fixed mode. - Returns (P_aux, flag), where flag is INVALID_OK, INVALID_IMPRAD or - INVALID_NAN. The caller reports these in aggregate; printing per point + Returns (P_aux, flag), where flag is INVALID_OK, NOAUX, INVALID_IMPRAD + or INVALID_NAN. The caller reports these in aggregate; printing per point would be one line per grid cell, out of order under prange. """ T_e_keV = T_i_keV/s.tipeak_over_tepeak @@ -583,17 +585,23 @@ def P_aux_impfrac(s, n_e_20, T_i_keV): flag = INVALID_OK + # A negative P_aux means the point already heats itself past the + # confinement loss with no auxiliary power at all + if P_aux < 0.0: + P_aux = 0.0 + flag = NOAUX + # P_SOL < 0: impurity radiation exceeds the confinement loss, which at # balance equals P_heat. The impurity power is assumed to displace what # would otherwise be conductive/turbulent/instability-driven loss, so it # radiates power away that would otherwise cross the separatrix. Such a # state is not physical; flag it. if P_imp > P_heat: - P_aux = 99999. + P_aux = UNPHYSICAL flag = INVALID_IMPRAD if np.isnan(P_aux): - P_aux = 99999. + P_aux = UNPHYSICAL flag = INVALID_NAN return P_aux, flag @@ -1060,9 +1068,8 @@ def _setup_profs(self) -> None: # self.q_a = 2*np.pi*self.a**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self.q_prof = 2*np.pi*(self.a*rho)**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) self._qdefined = True - if not self._ftrappeddefined: - self.ftrapped_prof = np.sqrt((self.B0*self.R/(self.R-rho*self.a))**2 + ((4e-7*np.pi)*self.Ip*1e6/(2*np.pi*self.a*rho))**2) - self._ftrappeddefined = True + # profile 6 is the trapped particle fraction; eta_NC falls back to + # f_t = sqrt(2*rho*a/R) on its own, so no need to fill it if not self._extradefined: self.extraprof = np.sqrt((self.B0)**2 + ((4e-7*np.pi)*self.Ip*1e6/(2*np.pi*self.a*rho))**2) self._extradefined = True @@ -1467,7 +1474,7 @@ def __solve(self) -> None: if self.settings.verbosity > 0: print("Power balance solutions found. Populating output arrays.") - self.__report_invalid(flags) + self.__report_invalid(flags, verbose=self.settings.verbosity > 0) if self.settings.parallel: computed = populate_outputs_par(params.state, n_e_20, T_i_keV, T_e_keV, Paux, self.settings.Nn, self.settings.NTi) @@ -1480,22 +1487,29 @@ def __solve(self) -> None: pass - def __report_invalid(self, flags) -> None: + def __report_invalid(self, flags, verbose:bool=True) -> None: """ Says how much of the grid has no physical solution, and why. These - points are set to P_aux = 99999 and masked out of the plot. + points are set to P_aux = UNPHYSICAL and masked out of the plot. """ total = flags.size - ninvalid = int(np.count_nonzero(flags)) - if ninvalid == 0: + counts = {code: int(np.count_nonzero(flags == code)) + for code in INVALID_REASONS} + ninvalid = sum(counts.values()) + nnoaux = int(np.count_nonzero(flags == NOAUX)) + + if ninvalid: + print(f"{ninvalid} of {total} grid points ({100*ninvalid/total:.1f}%) " + f"have no physical solution and are masked in the plot:") + for code, reason in INVALID_REASONS.items(): + if counts[code]: + print(f" {counts[code]:>6d} {reason}") + elif verbose: print(f"All {total} grid points solved.") - return - print(f"{ninvalid} of {total} grid points ({100*ninvalid/total:.1f}%) " - f"have no physical solution and are masked in the plot:") - for code, reason in INVALID_REASONS.items(): - n = int(np.count_nonzero(flags == code)) - if n: - print(f" {n:>6d} {reason}") + + if nnoaux and verbose: + print(f"{nnoaux} of {total} grid points need no auxiliary heating " + f"(P_aux cannot be less than zero, setting P_aux = 0).") def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=True) -> None: """ @@ -1519,10 +1533,14 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr n_i_20 = n_e_20*dil line_avg_fac = np.average(self.algorithms.get_profile(rho, 1)) - Paux, invalid = P_aux_impfrac(self.algorithms.state, n_e_20, T_i_keV) - if invalid: - print(f"This point has no physical solution: {INVALID_REASONS[invalid]}. " + Paux, flag = P_aux_impfrac(self.algorithms.state, n_e_20, T_i_keV) + if flag in INVALID_REASONS: + print(f"This point has no physical solution: {INVALID_REASONS[flag]}. " f"The numbers below are not meaningful.") + elif flag == NOAUX: + print("This point needs no auxiliary heating, so P_aux is zero. " + "Check Q below for whether that is ignition or just ohmic " + "heating outrunning the loss at low temperature.") Pfusion = self.algorithms.volume_integral(rho,self.algorithms._P_fusion(rho, T_i_keV, n_i_20)) Pfusion_heating = self.algorithms.volume_integral(rho,self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20)) @@ -2006,8 +2024,6 @@ def __get_geometry(self) -> None: print("Len of agrid:",len(agrid)) print("Len of ftrapped_profile:",len(ftrapped_profile)) - print(np.shape(ftrapped_profile)) - if np.abs(geq_a/self.settings.a - 1) > 0.1: print(f"Warning: gEQDSK minor radius ({geq_a} m) differs significantly from settings a ({self.settings.a} m). Defaulting to gEQDSK value.") self.settings.a = geq_a diff --git a/openpopcon/resources/examples/MANTA/manta_ex.ipynb b/openpopcon/resources/examples/MANTA/manta_ex.ipynb index a60fd4e..3eab9a5 100644 --- a/openpopcon/resources/examples/MANTA/manta_ex.ipynb +++ b/openpopcon/resources/examples/MANTA/manta_ex.ipynb @@ -45,7 +45,7 @@ "plotsettingsfile = \"./plotsettings.yml\"\n", "\n", "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile, " + " plotsettingsfile=plotsettingsfile)" ] }, { @@ -93,7 +93,7 @@ "rho = pc.algorithms.sqrtpsin\n", "for i in range(pc.settings.Nn):\n", " for j in range(pc.settings.NTi):\n", - " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, pc.output.T_e_max[j], pc.output.n_e_20_max[i]))\n", + " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])))\n", "pc.custom_plot(fig, ax, P_synchotron, np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5), 'teal', 1., r'$P_{synch}$')\n", "ax.legend(bbox_to_anchor=(1, 1), loc='upper left')\n", "fig.show()" diff --git a/openpopcon/resources/examples/NSF/NSF_run.ipynb b/openpopcon/resources/examples/NSF/NSF_run.ipynb index 9e08b43..0d41256 100644 --- a/openpopcon/resources/examples/NSF/NSF_run.ipynb +++ b/openpopcon/resources/examples/NSF/NSF_run.ipynb @@ -54,7 +54,7 @@ "\n", "import matplotlib.pyplot as plt\n", "\n", - "pcdata = pc.outputs[0]\n", + "pcdata = pc.output\n", "\n", "\n", "Paux = getattr(pcdata, 'Paux')\n", diff --git a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb index 48712c6..265980f 100644 --- a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb +++ b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb @@ -41,7 +41,7 @@ "plotsettingsfile = \"./plotsettings.yml\"\n", "\n", "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile, " + " plotsettingsfile=plotsettingsfile)" ] }, { @@ -98,7 +98,7 @@ "rho = pc.algorithms.sqrtpsin\n", "for i in range(pc.settings.Nn):\n", " for j in range(pc.settings.NTi):\n", - " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, pc.output.T_e_max[j], pc.output.n_e_20_max[i]))\n", + " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])))\n", "pc.custom_plot(fig, ax, P_synchotron, np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5), 'teal', 1., r'$P_{synch}$')\n", "ax.legend(bbox_to_anchor=(1, 1), loc='upper left')\n", "fig.show()" From 8fff7c7a4597f83b75381381c094eff4888aba46 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Mon, 20 Jul 2026 22:36:02 -0400 Subject: [PATCH 10/14] Fix review findings on large_refactor - Power balance: make diagnostics consistent with the closed-form solver. populate_outputs/_par and single_point now subtract P_synch from Pheat, and Ploss = Pconf + Pbrems + Psynch, so Pheat == Wtot/tauE at every solved point and Psol/f_rad agree between the grid and single_point. Paux and Q unchanged. - _W_tot_prof: use the electron profile (ID 1) for the electron energy term instead of the ion profile (ID 2). - __check_settings: reject a scaling law with Pheat_alpha == -1, which makes the closed-form (W_tot/K)**(1/(1+alpha)) singular, instead of a NaN grid. - NSF example notebook: replace the stale 5-arg single_point call with the current signature. - README: drop the deleted environment.yml/conda instructions, add pip -e . - pyproject: pin numba>=0.60 (np.trapezoid in njit, cache=True + parallel=True). Co-Authored-By: Claude Opus 4.8 (1M context) Claude-Session: https://claude.ai/code/session_01ME7GDe8m85XX9WBMyDFWQo --- README.MD | 8 +- openpopcon/core.py | 30 ++- .../resources/examples/NSF/NSF_run.ipynb | 6 +- pyproject.toml | 2 +- uv.lock | 236 ++++++++++++++++-- 5 files changed, 250 insertions(+), 32 deletions(-) diff --git a/README.MD b/README.MD index 2e8429c..49a461b 100644 --- a/README.MD +++ b/README.MD @@ -18,9 +18,13 @@ uv run example_run.py # writes POPCON.png and single_point.png uv run --extra notebooks jupyter lab ``` -**From a clone, with conda.** We recommend miniconda to manage the python environment. On a cluster, you may use `module load anaconda` to load anaconda. If you are running on your private machine, see [the anaconda project](https://docs.anaconda.com/miniconda/) for installation instructions. +**From a clone, with pip.** If you would rather manage the environment yourself, install the package in editable mode from the root of the repository: -Run `conda env create -f environment.yml` in the root directory of this repository. This creates an environment called `openpopcon`, which you activate with `conda activate openpopcon`. +```bash +pip install -e . # add [notebooks] for jupyterlab, [netcdf4] for the h5netcdf backend +``` + +This pulls in the dependencies declared in `pyproject.toml` and makes `import openpopcon` work from anywhere. ## Usage diff --git a/openpopcon/core.py b/openpopcon/core.py index c0db9a3..c84c3dd 100644 --- a/openpopcon/core.py +++ b/openpopcon/core.py @@ -380,7 +380,7 @@ def _W_tot_prof(s, rho, T_i_keV:float, n_e_20:float): """ Plasma energy per cubic meter; also pressure. """ - n_e_r = 1e20*n_e_20*get_profile(s, rho, 2) + n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) T_e_r = T_i_keV*get_profile(s, rho, 4)/s.tipeak_over_tepeak dil = plasma_dilution(s, T_i_keV/s.tipeak_over_tepeak) n_i_r = 1e20*n_e_20*get_profile(s, rho, 2)*dil @@ -1549,7 +1549,7 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr Psynch = self.algorithms.volume_integral(rho,self.algorithms._P_synch(rho, T_e_keV, n_e_20)) Pimprad = self.algorithms.volume_integral(rho,self.algorithms._P_impurity_rad(rho, T_e_keV, n_e_20)) Prad = self.algorithms.volume_integral(rho,self.algorithms._P_rad(rho, T_e_keV, n_e_20)) - Pheat = Pfusion_heating + Pohmic + Paux - Pbrems + Pheat = Pfusion_heating + Pohmic + Paux - Pbrems - Psynch Palpha = self.algorithms.volume_integral(rho,self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20))*3.52e3/(3.52e3 + 14.06e3) Pdd = self.algorithms.volume_integral(rho,self.algorithms._P_DDnHe3_prof(rho, T_i_keV, n_i_20)) Pdd += self.algorithms.volume_integral(rho,self.algorithms._P_DDpT_prof(rho, T_i_keV, n_i_20)) @@ -1604,7 +1604,10 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr Pfusion_heating_prof = self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20) Pohmic_prof = self.algorithms._P_OH_prof(rho, T_e_keV, n_e_20) Prad_prof = self.algorithms._P_rad(rho, T_e_keV, n_e_20) - Pheat_prof = Pfusion_heating_prof + Pohmic_prof + Paux/self.algorithms.V + Pbrems_prof = self.algorithms._P_brem_rad(rho, T_e_keV, n_e_20) + Psynch_prof = self.algorithms._P_synch(rho, T_e_keV, n_e_20) + # match the scalar Pheat above: brems and synch are removed before transport + Pheat_prof = Pfusion_heating_prof + Pohmic_prof + Paux/self.algorithms.V - Pbrems_prof - Psynch_prof Palpha_prof = self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20)*3.52e3/(3.52e3 + 14.06e3) Pdt_prof = self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20) niprof = n_i_20*self.algorithms.get_profile(rho, 2) @@ -2071,6 +2074,11 @@ def __check_settings(self) -> None: if s.scalinglaw not in self.scalinglaws: bad.append(f"scalinglaw '{s.scalinglaw}' is not defined. " f"Available: {', '.join(sorted(self.scalinglaws))}.") + elif self.scalinglaws[s.scalinglaw].get('Pheat_alpha') == -1: + # the closed-form solver evaluates (W_tot/K)**(1/(1+Pheat_alpha)), + # which is singular at Pheat_alpha = -1 + bad.append(f"scalinglaw '{s.scalinglaw}' has Pheat_alpha = -1, which makes " + f"the closed-form power balance singular. Use a different exponent.") if s.resistivity_model.lower() not in RESISTIVITY_MODELS: bad.append(f"resistivity_model '{s.resistivity_model}' is not recognized. " f"Available: {', '.join(sorted(RESISTIVITY_MODELS))}.") @@ -2219,11 +2227,15 @@ def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] - Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] + Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] - Psynch[i,j] Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) Pconf[i,j] = Wtot[i,j]/tauE[i,j] - Ploss[i,j] = Pconf[i,j] + # Ploss is all power leaving the plasma. Pconf is the transport loss the + # scaling law predicts; brems and synch were removed before it (see the + # solver's Pheat), so add them back for the total. Psol = Ploss - Prad + # then leaves Pconf - Pimprad, the power reaching the divertor. + Ploss[i,j] = Pconf[i,j] + Pbrems[i,j] + Psynch[i,j] Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) @@ -2286,11 +2298,15 @@ def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] - Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] + Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] - Psynch[i,j] Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) Pconf[i,j] = Wtot[i,j]/tauE[i,j] - Ploss[i,j] = Pconf[i,j] + # Ploss is all power leaving the plasma. Pconf is the transport loss the + # scaling law predicts; brems and synch were removed before it (see the + # solver's Pheat), so add them back for the total. Psol = Ploss - Prad + # then leaves Pconf - Pimprad, the power reaching the divertor. + Ploss[i,j] = Pconf[i,j] + Pbrems[i,j] + Psynch[i,j] Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) diff --git a/openpopcon/resources/examples/NSF/NSF_run.ipynb b/openpopcon/resources/examples/NSF/NSF_run.ipynb index 0d41256..f5cdea4 100644 --- a/openpopcon/resources/examples/NSF/NSF_run.ipynb +++ b/openpopcon/resources/examples/NSF/NSF_run.ipynb @@ -40,9 +40,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "# pc.single_point(-1,0.6,12,True,show=True)" - ] + "source": "# profiles and a power breakdown at one operating point:\n# 60% of the Greenwald density and 7.3 keV volume-averaged Ti\npc.single_point(0.6, 7.3, plot=True, show=True)" }, { "cell_type": "code", @@ -108,4 +106,4 @@ }, "nbformat": 4, "nbformat_minor": 2 -} +} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index f56fa18..2a7c685 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "scipy", "matplotlib", "contourpy", # imported directly by lib/openpopcon_util.py - "numba", + "numba>=0.60", # np.trapezoid support inside njit; cache=True with parallel=True "pyyaml", "xarray", ] diff --git a/uv.lock b/uv.lock index a4e1a4a..03ca8cf 100644 --- a/uv.lock +++ b/uv.lock @@ -2,13 +2,17 @@ version = 1 revision = 3 requires-python = ">=3.10, <3.14" resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version < '3.11'", ] [options] -exclude-newer = "2026-07-13T17:17:09.219247Z" +exclude-newer = "2026-07-14T01:10:42.621351Z" exclude-newer-span = "P1W" [[package]] @@ -379,8 +383,12 @@ name = "contourpy" version = "1.3.3" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, @@ -579,6 +587,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" }, ] +[[package]] +name = "h5netcdf" +version = "1.8.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ef/03/92d6cc02c0055158167255980461155d6e17f1c4143c03f8bcc18d3e3f3a/h5netcdf-1.8.1.tar.gz", hash = "sha256:9b396a4cc346050fc1a4df8523bc1853681ec3544e0449027ae397cb953c7a16", size = 78679, upload-time = "2026-01-23T07:35:31.233Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b1/8b/88f16936a8e8070a83d36239555227ecd91728f9ef222c5382cda07e0fd6/h5netcdf-1.8.1-py3-none-any.whl", hash = "sha256:a76ed7cfc9b8a8908ea7057c4e57e27307acff1049b7f5ed52db6c2247636879", size = 62915, upload-time = "2026-01-23T07:35:30.195Z" }, +] + [[package]] name = "httpcore" version = "1.0.9" @@ -671,8 +693,12 @@ name = "ipython" version = "9.15.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "colorama", marker = "python_full_version >= '3.11' and sys_platform == 'win32'" }, @@ -1227,8 +1253,12 @@ name = "matplotlib" version = "3.11.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, @@ -1475,8 +1505,12 @@ name = "numpy" version = "2.4.6" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] sdist = { url = "https://files.pythonhosted.org/packages/d0/ad/fed0499ce6a338d2a03ebae59cd15093910c8875328855781952abf6c2fe/numpy-2.4.6.tar.gz", hash = "sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda", size = 20735807, upload-time = "2026-05-18T23:37:14.07Z" } wheels = [ @@ -1548,9 +1582,14 @@ dependencies = [ { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "scipy", version = "1.17.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, { name = "scipy", version = "1.18.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "xarray", version = "2026.7.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, ] [package.optional-dependencies] +netcdf4 = [ + { name = "h5netcdf" }, +] notebooks = [ { name = "jupyterlab" }, ] @@ -1558,14 +1597,16 @@ notebooks = [ [package.metadata] requires-dist = [ { name = "contourpy" }, + { name = "h5netcdf", marker = "extra == 'netcdf4'" }, { name = "jupyterlab", marker = "extra == 'notebooks'" }, { name = "matplotlib" }, - { name = "numba" }, + { name = "numba", specifier = ">=0.60" }, { name = "numpy", specifier = ">=2.0" }, { name = "pyyaml" }, { name = "scipy" }, + { name = "xarray" }, ] -provides-extras = ["notebooks"] +provides-extras = ["notebooks", "netcdf4"] [[package]] name = "overrides" @@ -1585,6 +1626,109 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/df/b2/87e62e8c3e2f4b32e5fe99e0b86d576da1312593b39f47d8ceef365e95ed/packaging-26.2-py3-none-any.whl", hash = "sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e", size = 100195, upload-time = "2026-04-24T20:15:22.081Z" }, ] +[[package]] +name = "pandas" +version = "2.3.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "python-dateutil", marker = "python_full_version < '3.11'" }, + { name = "pytz", marker = "python_full_version < '3.11'" }, + { name = "tzdata", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/33/01/d40b85317f86cf08d853a4f495195c73815fdf205eef3993821720274518/pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b", size = 4495223, upload-time = "2025-09-29T23:34:51.853Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/f7/f425a00df4fcc22b292c6895c6831c0c8ae1d9fac1e024d16f98a9ce8749/pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c", size = 11555763, upload-time = "2025-09-29T23:16:53.287Z" }, + { url = "https://files.pythonhosted.org/packages/13/4f/66d99628ff8ce7857aca52fed8f0066ce209f96be2fede6cef9f84e8d04f/pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a", size = 10801217, upload-time = "2025-09-29T23:17:04.522Z" }, + { url = "https://files.pythonhosted.org/packages/1d/03/3fc4a529a7710f890a239cc496fc6d50ad4a0995657dccc1d64695adb9f4/pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1", size = 12148791, upload-time = "2025-09-29T23:17:18.444Z" }, + { url = "https://files.pythonhosted.org/packages/40/a8/4dac1f8f8235e5d25b9955d02ff6f29396191d4e665d71122c3722ca83c5/pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838", size = 12769373, upload-time = "2025-09-29T23:17:35.846Z" }, + { url = "https://files.pythonhosted.org/packages/df/91/82cc5169b6b25440a7fc0ef3a694582418d875c8e3ebf796a6d6470aa578/pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250", size = 13200444, upload-time = "2025-09-29T23:17:49.341Z" }, + { url = "https://files.pythonhosted.org/packages/10/ae/89b3283800ab58f7af2952704078555fa60c807fff764395bb57ea0b0dbd/pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4", size = 13858459, upload-time = "2025-09-29T23:18:03.722Z" }, + { url = "https://files.pythonhosted.org/packages/85/72/530900610650f54a35a19476eca5104f38555afccda1aa11a92ee14cb21d/pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826", size = 11346086, upload-time = "2025-09-29T23:18:18.505Z" }, + { url = "https://files.pythonhosted.org/packages/c1/fa/7ac648108144a095b4fb6aa3de1954689f7af60a14cf25583f4960ecb878/pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523", size = 11578790, upload-time = "2025-09-29T23:18:30.065Z" }, + { url = "https://files.pythonhosted.org/packages/9b/35/74442388c6cf008882d4d4bdfc4109be87e9b8b7ccd097ad1e7f006e2e95/pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45", size = 10833831, upload-time = "2025-09-29T23:38:56.071Z" }, + { url = "https://files.pythonhosted.org/packages/fe/e4/de154cbfeee13383ad58d23017da99390b91d73f8c11856f2095e813201b/pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66", size = 12199267, upload-time = "2025-09-29T23:18:41.627Z" }, + { url = "https://files.pythonhosted.org/packages/bf/c9/63f8d545568d9ab91476b1818b4741f521646cbdd151c6efebf40d6de6f7/pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b", size = 12789281, upload-time = "2025-09-29T23:18:56.834Z" }, + { url = "https://files.pythonhosted.org/packages/f2/00/a5ac8c7a0e67fd1a6059e40aa08fa1c52cc00709077d2300e210c3ce0322/pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791", size = 13240453, upload-time = "2025-09-29T23:19:09.247Z" }, + { url = "https://files.pythonhosted.org/packages/27/4d/5c23a5bc7bd209231618dd9e606ce076272c9bc4f12023a70e03a86b4067/pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151", size = 13890361, upload-time = "2025-09-29T23:19:25.342Z" }, + { url = "https://files.pythonhosted.org/packages/8e/59/712db1d7040520de7a4965df15b774348980e6df45c129b8c64d0dbe74ef/pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c", size = 11348702, upload-time = "2025-09-29T23:19:38.296Z" }, + { url = "https://files.pythonhosted.org/packages/9c/fb/231d89e8637c808b997d172b18e9d4a4bc7bf31296196c260526055d1ea0/pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53", size = 11597846, upload-time = "2025-09-29T23:19:48.856Z" }, + { url = "https://files.pythonhosted.org/packages/5c/bd/bf8064d9cfa214294356c2d6702b716d3cf3bb24be59287a6a21e24cae6b/pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35", size = 10729618, upload-time = "2025-09-29T23:39:08.659Z" }, + { url = "https://files.pythonhosted.org/packages/57/56/cf2dbe1a3f5271370669475ead12ce77c61726ffd19a35546e31aa8edf4e/pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908", size = 11737212, upload-time = "2025-09-29T23:19:59.765Z" }, + { url = "https://files.pythonhosted.org/packages/e5/63/cd7d615331b328e287d8233ba9fdf191a9c2d11b6af0c7a59cfcec23de68/pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89", size = 12362693, upload-time = "2025-09-29T23:20:14.098Z" }, + { url = "https://files.pythonhosted.org/packages/a6/de/8b1895b107277d52f2b42d3a6806e69cfef0d5cf1d0ba343470b9d8e0a04/pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98", size = 12771002, upload-time = "2025-09-29T23:20:26.76Z" }, + { url = "https://files.pythonhosted.org/packages/87/21/84072af3187a677c5893b170ba2c8fbe450a6ff911234916da889b698220/pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084", size = 13450971, upload-time = "2025-09-29T23:20:41.344Z" }, + { url = "https://files.pythonhosted.org/packages/86/41/585a168330ff063014880a80d744219dbf1dd7a1c706e75ab3425a987384/pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b", size = 10992722, upload-time = "2025-09-29T23:20:54.139Z" }, + { url = "https://files.pythonhosted.org/packages/cd/4b/18b035ee18f97c1040d94debd8f2e737000ad70ccc8f5513f4eefad75f4b/pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713", size = 11544671, upload-time = "2025-09-29T23:21:05.024Z" }, + { url = "https://files.pythonhosted.org/packages/31/94/72fac03573102779920099bcac1c3b05975c2cb5f01eac609faf34bed1ca/pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8", size = 10680807, upload-time = "2025-09-29T23:21:15.979Z" }, + { url = "https://files.pythonhosted.org/packages/16/87/9472cf4a487d848476865321de18cc8c920b8cab98453ab79dbbc98db63a/pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d", size = 11709872, upload-time = "2025-09-29T23:21:27.165Z" }, + { url = "https://files.pythonhosted.org/packages/15/07/284f757f63f8a8d69ed4472bfd85122bd086e637bf4ed09de572d575a693/pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac", size = 12306371, upload-time = "2025-09-29T23:21:40.532Z" }, + { url = "https://files.pythonhosted.org/packages/33/81/a3afc88fca4aa925804a27d2676d22dcd2031c2ebe08aabd0ae55b9ff282/pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c", size = 12765333, upload-time = "2025-09-29T23:21:55.77Z" }, + { url = "https://files.pythonhosted.org/packages/8d/0f/b4d4ae743a83742f1153464cf1a8ecfafc3ac59722a0b5c8602310cb7158/pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493", size = 13418120, upload-time = "2025-09-29T23:22:10.109Z" }, + { url = "https://files.pythonhosted.org/packages/4f/c7/e54682c96a895d0c808453269e0b5928a07a127a15704fedb643e9b0a4c8/pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee", size = 10993991, upload-time = "2025-09-29T23:25:04.889Z" }, + { url = "https://files.pythonhosted.org/packages/f9/ca/3f8d4f49740799189e1395812f3bf23b5e8fc7c190827d55a610da72ce55/pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5", size = 12048227, upload-time = "2025-09-29T23:22:24.343Z" }, + { url = "https://files.pythonhosted.org/packages/0e/5a/f43efec3e8c0cc92c4663ccad372dbdff72b60bdb56b2749f04aa1d07d7e/pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21", size = 11411056, upload-time = "2025-09-29T23:22:37.762Z" }, + { url = "https://files.pythonhosted.org/packages/46/b1/85331edfc591208c9d1a63a06baa67b21d332e63b7a591a5ba42a10bb507/pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78", size = 11645189, upload-time = "2025-09-29T23:22:51.688Z" }, + { url = "https://files.pythonhosted.org/packages/44/23/78d645adc35d94d1ac4f2a3c4112ab6f5b8999f4898b8cdf01252f8df4a9/pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110", size = 12121912, upload-time = "2025-09-29T23:23:05.042Z" }, + { url = "https://files.pythonhosted.org/packages/53/da/d10013df5e6aaef6b425aa0c32e1fc1f3e431e4bcabd420517dceadce354/pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86", size = 12712160, upload-time = "2025-09-29T23:23:28.57Z" }, + { url = "https://files.pythonhosted.org/packages/bd/17/e756653095a083d8a37cbd816cb87148debcfcd920129b25f99dd8d04271/pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc", size = 13199233, upload-time = "2025-09-29T23:24:24.876Z" }, +] + +[[package]] +name = "pandas" +version = "3.0.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "python-dateutil", marker = "python_full_version >= '3.11'" }, + { name = "tzdata", marker = "(python_full_version >= '3.11' and sys_platform == 'emscripten') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f8/87/4341c6252d1c47b08768c3d25ac487362bf403f0313ddae4a2a26c9b1b4c/pandas-3.0.3.tar.gz", hash = "sha256:696a4a00a2a2a35d4e5deb3fc946641b96c944f02230e4f76137fe35d806c4fc", size = 4651414, upload-time = "2026-05-11T18:54:29.21Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/42/16/b5c76b838fd9bf6ce84d3a53346b8874ec05c5f0040d75ef2c320100cd2a/pandas-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:455f6f8139d4282188f526868dbc3c828470e88a3d9d59a891bd46a455f21b98", size = 10338495, upload-time = "2026-05-11T18:52:11.558Z" }, + { url = "https://files.pythonhosted.org/packages/5a/b0/a4ffc4ae74d2d822200dcc46898987d8eb6032d1e2b219cae39da6f5cbcc/pandas-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4e15135e2ee5df1063313e2425ceef8ac0f4ae775893815b0923651b806a5639", size = 9938250, upload-time = "2026-05-11T18:52:17.005Z" }, + { url = "https://files.pythonhosted.org/packages/2e/b2/3323601a52caee42c019e370090ca4544b241437240ca04f786cce82b0cf/pandas-3.0.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:05f1f1752b8533ea03f7f39a9c15b1a058d067bb48f4748948e7a8691e0510f2", size = 10770558, upload-time = "2026-05-11T18:52:19.865Z" }, + { url = "https://files.pythonhosted.org/packages/32/f1/bbecd2f867b97abebe0f9b53d750f862251b40337e061b36676ded3d920f/pandas-3.0.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8a1e45c80cceb3b4a21bc5939d52e8cbd8d9b7305309219d59e9754d9ce09e27", size = 11274611, upload-time = "2026-05-11T18:52:22.622Z" }, + { url = "https://files.pythonhosted.org/packages/7f/4f/eafabf2d5fae5adf143b4d18d3706c5efdc368a7c4eb1ee8a3eddabbd0f6/pandas-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:14da8316da4d0c5a77618425996bfb1248ca87fc2c1486e6fde4652bd18b5824", size = 11784670, upload-time = "2026-05-11T18:52:25.4Z" }, + { url = "https://files.pythonhosted.org/packages/49/44/1eb20389301b57b19cc099a1c2f662501f72f08a65f912d05822613c1532/pandas-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a55066a0505dae0ba2b50a46637db34b46f9094c65c5d4800794ef6335010938", size = 12353708, upload-time = "2026-05-11T18:52:28.139Z" }, + { url = "https://files.pythonhosted.org/packages/eb/62/c321f13b5ba1819fc8dca456c7fce578da2dcfecff1abbf0eaddf8406c0f/pandas-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6674ab18ad8c57802867264b00e15e7bb904700cdd9046e3b2fa1fce237439ea", size = 9907609, upload-time = "2026-05-11T18:52:30.982Z" }, + { url = "https://files.pythonhosted.org/packages/53/85/1b7f563ebc6357c27233a02a96b589bcce1fa9c6eb89fb4f0e56421d277e/pandas-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:5cc09a68b3120e0f54870dede8287a7bb1fa463907e4fcec1ea77cab6179bf7a", size = 9165596, upload-time = "2026-05-11T18:52:33.334Z" }, + { url = "https://files.pythonhosted.org/packages/24/f1/392f8c5bfc16f66a0d2d41561c01627c228fe7ed2a0d056ef11315042570/pandas-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fed2ff7fd9779120e388e285fc029bd5cf9490cdd2e4166a9ee22c0e49a9ab09", size = 10357846, upload-time = "2026-05-11T18:52:36.143Z" }, + { url = "https://files.pythonhosted.org/packages/cf/3d/b16412745651e855f357e5e66930248688378853a6e2698a214e331fba1f/pandas-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b168fc218fd80a6cbdbdbc1a97ddc7889ed057d7eb45f50d866ceab5f39904c4", size = 9899550, upload-time = "2026-05-11T18:52:38.976Z" }, + { url = "https://files.pythonhosted.org/packages/31/a8/fa2535168fffcedf67f4f6de28d2dd903a747ca7c8ea6989451aaeb3a92f/pandas-3.0.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0383c72c75cdcca61a9e116e611143902dbfd08bff356829c2f6d1cf40a9ca8c", size = 10412965, upload-time = "2026-05-11T18:52:41.915Z" }, + { url = "https://files.pythonhosted.org/packages/65/b6/09b01cdbc15224e2850365192d17b7bdebb8bdbd8780ed221fcdf0d9a515/pandas-3.0.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6dc0b3fd2169c9157deed50b4d519553a3655c8c6a96027136d654592be973a9", size = 10894600, upload-time = "2026-05-11T18:52:45.02Z" }, + { url = "https://files.pythonhosted.org/packages/c9/a4/2eb28f2fccb4ced4a2c79ab2a5dee9ade1ebf44922ebad6fea158c9f95d4/pandas-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7e65d5407dc0b394f509699650e4a2ec01c0514f21850f453fa60f3be79a5dbf", size = 11422824, upload-time = "2026-05-11T18:52:48.058Z" }, + { url = "https://files.pythonhosted.org/packages/f8/45/830bb57f533a4604b355e07edcb8ea18cf88b5f94e5fca92f27052d7c597/pandas-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f8894dc474d648fe7b6ff0ca9b0bd73950d19952bc1a6534540762c5d79d305c", size = 11950889, upload-time = "2026-05-11T18:52:50.905Z" }, + { url = "https://files.pythonhosted.org/packages/b9/c5/fc1b368f303087d20e8c9bf3d6ceb186263cfac0ade735cd938538bea839/pandas-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:c7be265b62cef88e253a941e4698604973736dcfe242fdb5198f0f7bc473cdcc", size = 9755463, upload-time = "2026-05-11T18:52:53.386Z" }, + { url = "https://files.pythonhosted.org/packages/86/bd/fda8f9705b1b09c6ebe14bfc0fa0e4ec8584d54ea673628f157ff55131af/pandas-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:557409bc4178e70ee8d9ddb494798e51ebf6ea59330f6be22c51bab2a7db6c49", size = 9066158, upload-time = "2026-05-11T18:52:56.038Z" }, + { url = "https://files.pythonhosted.org/packages/c5/90/62d8302883c44308c477e222c3daf7c813a34c8e96985882fbd53d964352/pandas-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:67b3b64c11910cfa29f4e94a14d3bff9ee693b6fc76055e7cad549cee0aec5fa", size = 10331071, upload-time = "2026-05-11T18:52:58.838Z" }, + { url = "https://files.pythonhosted.org/packages/7f/ae/6a6493c783a101f165e4356953ba3c74d6f77f0042fa7d753da9dfbb640c/pandas-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:39436b377d56d2a2e52d0395bdbee171f01068e99af5250509aceeb929f765c7", size = 9875690, upload-time = "2026-05-11T18:53:01.431Z" }, + { url = "https://files.pythonhosted.org/packages/62/7c/5df8e9f56c69a2769fbe9382a5ef8f2658c007e376434e1e2cbb57ad895f/pandas-3.0.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d4be06d68f9ddcfc645b87534911da79a8fbffc7573c80e0edcf42a5020624d8", size = 10381634, upload-time = "2026-05-11T18:53:04.393Z" }, + { url = "https://files.pythonhosted.org/packages/99/68/1237369725aa617bb358263d535803e3053fdbc593513ec5ed9c9896b5b6/pandas-3.0.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a4eeb6830daf35a71cc09649bd823e2b542dac246cdee9614c6e4bd65028cd6a", size = 10891243, upload-time = "2026-05-11T18:53:07.643Z" }, + { url = "https://files.pythonhosted.org/packages/25/93/77d108e8af7222b4a503ebde0e30215b1c2e4f8e53a526431890f22d5586/pandas-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1928e07221f82db493cd4af1e23c1bfca524a19a4699887975bff68f49a72bfb", size = 11388659, upload-time = "2026-05-11T18:53:10.634Z" }, + { url = "https://files.pythonhosted.org/packages/d0/bd/eff5b4399f332ac386c853f6cd2bd3fa2ca0061b9f36ecd9c4d7c4265649/pandas-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:51b1fe551acb77dac643c6fda86084d8d446c10fe64b06a9cc29c4cc8540e7f2", size = 11942880, upload-time = "2026-05-11T18:53:13.536Z" }, + { url = "https://files.pythonhosted.org/packages/2c/20/559ace4200982c3887d0b86bfd0d856a2143ef8ddab63cc07934951a964c/pandas-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:a82d532a3351d435432cd913edbccaf8b8e01d4dd0e5ced5a8d2e8ecd94c7e44", size = 9757091, upload-time = "2026-05-11T18:53:16.306Z" }, + { url = "https://files.pythonhosted.org/packages/3a/66/69055a09fe200f29f922a3eeec4804611900b95f52d932ece3393c3c0c19/pandas-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:275c14e0fce14a2ec20eee474aecd305478ea3c1e6f6a9d8fe219a165542717e", size = 9057282, upload-time = "2026-05-11T18:53:18.768Z" }, + { url = "https://files.pythonhosted.org/packages/57/0e/efe801b0e6811e8e650cd21b7f2608e30f08a7067e2bf6e8752b0d56ee3c/pandas-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:46997386d528eb40376ecd6b033cf4a8a1e5282580f68f43de875b78cba2199d", size = 10767016, upload-time = "2026-05-11T18:53:21.227Z" }, + { url = "https://files.pythonhosted.org/packages/ea/dc/eb55135a1d5f0f0519f28da1f609a206d2cad1f9c35c32d51e38dd7261ae/pandas-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:261e308dfb22448384b7580cf719d2f998fe2966c92893c3e77d14008af1f066", size = 10420210, upload-time = "2026-05-11T18:53:23.982Z" }, + { url = "https://files.pythonhosted.org/packages/c6/3e/b1d5d955ce33ffecb407465a60bc32769d74fcf68224b7ae67ae11d4dea4/pandas-3.0.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:dd1a5d1def6a46002e964510bdc67c368aa0951df5d1d9f8365336f5a1f490cd", size = 10336126, upload-time = "2026-05-11T18:53:26.731Z" }, + { url = "https://files.pythonhosted.org/packages/f5/76/a01261711ab60a22d71b862f0de20e4c504bf80457270ad8cb42110f6abc/pandas-3.0.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d72828c20c6d6e83e1e22a6a3b47b326b71664112fa9705dcbccfd7a39b62085", size = 10728051, upload-time = "2026-05-11T18:53:29.125Z" }, + { url = "https://files.pythonhosted.org/packages/e9/21/ea191195e587b18cf682e97f433f81b2d0fbe341380e80a3e0d6e4403c8e/pandas-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d26cbe1fcfc12e8fd900e2454163e466b2d3af84f7c75481df7683ffc073d870", size = 11350796, upload-time = "2026-05-11T18:53:32.056Z" }, + { url = "https://files.pythonhosted.org/packages/64/69/f0eaaf54939f0e8c6768fd06be9af2cef9b36048b96dfb9e1b2c685a807e/pandas-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e91cec1879ada0624fc3dc9953c5cbd60208e59c0db28f540c5d6d47502422f", size = 11799741, upload-time = "2026-05-11T18:53:34.985Z" }, + { url = "https://files.pythonhosted.org/packages/45/a4/865e0e510cae5fc2194de4db28be638952de942571ba9125934fd9c01d47/pandas-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:08d789b41f87e0905880e293cedf6197ce71fe67cc081358b1e148a491b9bd13", size = 10499958, upload-time = "2026-05-11T18:53:37.857Z" }, +] + [[package]] name = "pandocfilters" version = "1.5.1" @@ -1608,7 +1752,7 @@ name = "pexpect" version = "4.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "ptyprocess" }, + { name = "ptyprocess", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } wheels = [ @@ -1785,6 +1929,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/27/be/0631a861af4d1c875f096c07d34e9a63639560a717130e7a87cbc82b7e3f/python_json_logger-4.1.0-py3-none-any.whl", hash = "sha256:132994765cf75bf44554be9aa49b06ef2345d23661a96720262716438141b6b2", size = 15021, upload-time = "2026-03-29T04:39:55.266Z" }, ] +[[package]] +name = "pytz" +version = "2026.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ff/46/dd499ec9038423421951e4fad73051febaa13d2df82b4064f87af8b8c0c3/pytz-2026.2.tar.gz", hash = "sha256:0e60b47b29f21574376f218fe21abc009894a2321ea16c6754f3cad6eb7cdd6a", size = 320861, upload-time = "2026-05-04T01:35:29.667Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ec/dd/96da98f892250475bdf2328112d7468abdd4acc7b902b6af23f4ed958ea0/pytz-2026.2-py2.py3-none-any.whl", hash = "sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126", size = 510141, upload-time = "2026-05-04T01:35:27.408Z" }, +] + [[package]] name = "pywinpty" version = "3.0.5" @@ -2076,8 +2229,12 @@ name = "rpds-py" version = "2026.6.3" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] sdist = { url = "https://files.pythonhosted.org/packages/aa/2a/9618a122aeb2a169a28b03889a2995fe297588964333d4a7d67bdf46e147/rpds_py-2026.6.3.tar.gz", hash = "sha256:1cebd1337c242e4ec2293e541f712b2da849b29f48f0c293684b71c0632625d4", size = 64051, upload-time = "2026-06-30T07:17:53.009Z" } wheels = [ @@ -2204,7 +2361,9 @@ name = "scipy" version = "1.17.1" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version == '3.11.*'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, @@ -2258,7 +2417,9 @@ name = "scipy" version = "1.18.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, @@ -2487,3 +2648,42 @@ sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c wheels = [ { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload-time = "2025-10-07T21:16:34.951Z" }, ] + +[[package]] +name = "xarray" +version = "2025.6.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "packaging", marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/19/ec/e50d833518f10b0c24feb184b209bb6856f25b919ba8c1f89678b930b1cd/xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0", size = 3003185, upload-time = "2025-06-12T03:04:09.099Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/8a/6b50c1dd2260d407c1a499d47cf829f59f07007e0dcebafdabb24d1d26a5/xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b", size = 1314739, upload-time = "2025-06-12T03:04:06.708Z" }, +] + +[[package]] +name = "xarray" +version = "2026.7.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging", marker = "python_full_version >= '3.11'" }, + { name = "pandas", version = "3.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ea/96/3f7bdd00e505ec3698903415b30135024703e017b28c6b61f98da3193b0d/xarray-2026.7.0.tar.gz", hash = "sha256:361b495928fdbf5b58d0969bb6775339019da5e93ca74d61ddf4eb5edd6ce604", size = 3145348, upload-time = "2026-07-09T17:38:26.515Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/57/5b/28365212062939d213802e5e5fe855cdb231e1c2a93254ba1690066504e3/xarray-2026.7.0-py3-none-any.whl", hash = "sha256:bf9dd130b93806dc78e90c1b7ac24851b31557b888674c53622235691cf21824", size = 1426778, upload-time = "2026-07-09T17:38:24.224Z" }, +] From dbfbdf1101de695c5abf6840ee2811b20f9fa2bf Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Tue, 21 Jul 2026 19:55:01 -0400 Subject: [PATCH 11/14] Add regression tests and helper scripts for MANTA example - Introduced `generate_golden.py` to regenerate the golden regression file. - Created `helpers.py` for shared setup and utility functions for tests. - Added `test_invariants.py` to validate physics consistency across runs. - Implemented `test_regression.py` to ensure output matches golden values. - Developed `test_validation.py` to validate settings and reject bad configurations. - Updated `uv.lock` to include new dependencies for testing. --- .github/workflows/ci.yml | 42 ++ README.MD | 14 + pyproject.toml | 5 + tests/conftest.py | 14 + tests/data/golden_manta.json | 999 +++++++++++++++++++++++++++++++++++ tests/generate_golden.py | 45 ++ tests/helpers.py | 40 ++ tests/test_invariants.py | 66 +++ tests/test_regression.py | 31 ++ tests/test_validation.py | 76 +++ uv.lock | 44 +- 11 files changed, 1374 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/ci.yml create mode 100644 tests/conftest.py create mode 100644 tests/data/golden_manta.json create mode 100644 tests/generate_golden.py create mode 100644 tests/helpers.py create mode 100644 tests/test_invariants.py create mode 100644 tests/test_regression.py create mode 100644 tests/test_validation.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..9f92512 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,42 @@ +name: CI + +on: + push: + branches: [main, large_refactor] + pull_request: + +concurrency: + group: ci-${{ github.ref }} + cancel-in-progress: true + +jobs: + test: + runs-on: ubuntu-latest + env: + MPLBACKEND: Agg + strategy: + fail-fast: false + matrix: + python-version: ["3.10", "3.13"] + + steps: + - uses: actions/checkout@v4 + + - name: Set up uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Cache numba compilation + uses: actions/cache@v4 + with: + path: | + openpopcon/__pycache__ + ~/.cache/numba + key: numba-${{ runner.os }}-py${{ matrix.python-version }}-${{ hashFiles('openpopcon/core.py', 'openpopcon/lib/phys_lib.py', 'openpopcon/lib/openpopcon_util.py', 'pyproject.toml') }} + + - name: Install project and test dependencies + run: uv sync --extra test --python ${{ matrix.python-version }} + + - name: Run tests + run: uv run pytest diff --git a/README.MD b/README.MD index 49a461b..887ed15 100644 --- a/README.MD +++ b/README.MD @@ -75,6 +75,20 @@ Grid points where power balance has no physical solution are reported in aggrega The trapped particle fraction that the neoclassical resistivity needs is taken from the gEQDSK when one is supplied. Without a gEQDSK it falls back to `f_t = sqrt(2*rho*a/R)`, which stays below 1 for the aspect ratios these examples use but would not for a spherical tokamak. +## Development + +Run the tests with: + +```bash +uv run --extra test pytest +``` + +The suite (in `tests/`) solves the MANTA example on a small grid and checks the results against a frozen golden file (`tests/data/golden_manta.json`), verifies physics/consistency invariants, and checks that settings validation accepts every shipped example while rejecting bad inputs. GitHub Actions runs it on every commit to an open pull request. If a change intentionally alters the computed results, regenerate the golden file and commit it alongside the change: + +```bash +uv run python tests/generate_golden.py +``` + ## Bibliography [1] H.-S. Bosch and G. M. Hale, *Improved Formulas for Fusion Cross-Sections and Thermal Reactivities,* Nucl. Fusion **32**, 611 (1992). diff --git a/pyproject.toml b/pyproject.toml index 2a7c685..3089dd5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,10 +22,15 @@ dependencies = [ notebooks = ["jupyterlab"] # installs a netCDF4 backend; without it xarray writes netCDF3 via scipy netcdf4 = ["h5netcdf"] +test = ["pytest>=7"] [project.scripts] openpopcon = "openpopcon.cli:main" +[tool.pytest.ini_options] +testpaths = ["tests"] +addopts = "-q" + [tool.hatch.build.targets.wheel] packages = ["openpopcon"] diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..42a4f78 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,14 @@ +""" +Shared test fixtures +""" +import matplotlib +matplotlib.use("Agg") + +import pytest + +from helpers import solve_small_manta + + +@pytest.fixture(scope="session") +def solved_manta(): + return solve_small_manta(parallel=False) diff --git a/tests/data/golden_manta.json b/tests/data/golden_manta.json new file mode 100644 index 0000000..024273b --- /dev/null +++ b/tests/data/golden_manta.json @@ -0,0 +1,999 @@ +{ + "meta": { + "grid": { + "Nn": 8, + "NTi": 8, + "nr": 60 + }, + "openpopcon": "2.0.0", + "numpy": "2.4.6", + "numba": "0.66.0", + "note": "regenerate with `uv run python tests/generate_golden.py`" + }, + "fields": { + "Paux": [ + [ + 99999.0, + 8.250340310142658, + 12.036902178481995, + 16.99112564660364, + 23.292135569953032, + 31.112807197168763, + 40.62068858150792, + 51.97983321690651 + ], + [ + 99999.0, + 12.373525265339534, + 18.15399870773918, + 25.895644856981853, + 35.9029722040009, + 48.470994144101326, + 63.88621740614417, + 82.42959085905598 + ], + [ + 99999.0, + 17.13979944593114, + 25.31614142671623, + 36.44033687684737, + 50.974923707785166, + 69.36870210185828, + 92.05781800153107, + 119.47015296293341 + ], + [ + 99999.0, + 22.522763142025397, + 33.483018960999004, + 48.56715531093918, + 68.42785479761672, + 93.6988141382342, + 124.99595127010132, + 162.92356118070933 + ], + [ + 99999.0, + 28.49649020970836, + 42.61656291720154, + 62.22268794185975, + 88.18938305195432, + 121.36591906156724, + 162.5776790473372, + 212.63440527218296 + ], + [ + 99999.0, + 35.03697353596017, + 52.682144964849904, + 77.35895047956525, + 110.19508001613569, + 152.28569614540288, + 204.69497397365106, + 268.4667644997999 + ], + [ + 99999.0, + 42.12230746265217, + 63.648483058539085, + 93.93290696954898, + 134.38747620503557, + 186.38325499761243, + 251.2522241146071, + 330.3006862136747 + ], + [ + 99999.0, + 49.73253751600005, + 75.48726197003927, + 111.90578386617278, + 160.7149788036354, + 223.5915541777453, + 302.1640368049505, + 398.0292460579749 + ] + ], + "Q": [ + [ + 0.00039506633216692457, + 5.439069305523813, + 4.763484332575676, + 4.1085613814042, + 3.5274723915790074, + 3.0315746015045555, + 2.615168883686167, + 2.267185481687183 + ], + [ + 0.0007023402977556026, + 6.693845717934161, + 5.748931515280585, + 4.866898894937335, + 4.1108407829220495, + 3.484423079599898, + 2.971265126764852, + 2.55113669652357 + ], + [ + 0.0010974068940524811, + 7.7115274550222885, + 6.5264086726462915, + 5.449785393685631, + 4.549430275981532, + 3.818850929132651, + 3.230548268597098, + 2.75561206146972 + ], + [ + 0.0015802661336279421, + 8.562106184569853, + 7.163288528307027, + 5.918452385841479, + 4.896714457084417, + 4.080505231128474, + 3.4315643278225068, + 2.9130496991378383 + ], + [ + 0.0021509180266336236, + 9.291810145106133, + 7.701339871081812, + 6.308876323865703, + 5.182774360705064, + 4.29418739309426, + 3.594683486831609, + 3.040214479821141 + ], + [ + 0.0028093625815826845, + 9.93146472889283, + 8.16726522742193, + 6.643240556288051, + 5.425624701600335, + 4.474411275921838, + 3.731611514679319, + 3.1466027927569367 + ], + [ + 0.0035555998058043716, + 10.50216108842501, + 8.57879024688433, + 6.935893306770727, + 5.636677228628491, + 4.630222324825901, + 3.849551951000918, + 3.238001233086139 + ], + [ + 0.004389629705732339, + 11.018745601987401, + 8.94811168284835, + 7.196516940258292, + 5.823514325642593, + 4.767559057808529, + 3.9531908170482035, + 3.318147686990535 + ] + ], + "Pheat": [ + [ + 100002.13273934061, + 12.324670356818935, + 17.074162534083715, + 22.95592504702467, + 30.104565557074487, + 38.65737331922167, + 48.754152616116656, + 60.53707889347153 + ], + [ + 100005.59146655504, + 21.30894458247948, + 29.52065837848044, + 39.69002987540002, + 52.049791236842, + 66.83731101235945, + 84.29430615057197, + 104.66659326206288 + ], + [ + 100010.2438911523, + 32.58393851652954, + 45.140636311137115, + 60.69082812494577, + 79.59038942050294, + 102.20228525196525, + 128.89612989852577, + 160.04780651547566 + ], + [ + 100016.07143308986, + 46.100259330853184, + 63.86566925442358, + 85.86632073789688, + 112.60571188063902, + 144.59737124569202, + 182.36423482234875, + 226.43810790260113 + ], + [ + 100023.0632165984, + 61.818466302549204, + 85.64111742538572, + 115.1430454428491, + 150.9994196650653, + 193.8988598228253, + 244.5426006011775, + 303.6437700388713 + ], + [ + 100031.21222977848, + 79.70581304639705, + 110.42161513979258, + 148.46000883852508, + 194.69152558774877, + 250.00403917025608, + 315.3016884955202, + 391.50394720199404 + ], + [ + 100040.51364095078, + 99.73435813049673, + 138.168453325849, + 185.76516722737907, + 243.61377916863225, + 312.8252686182739, + 394.5309672866323, + 489.88139493687515 + ], + [ + 100050.96395440031, + 121.8797722083898, + 168.8479269672136, + 227.01320478046256, + 297.70675290302836, + 382.2862371093469, + 482.13419450831213, + 598.6566108533225 + ] + ], + "Pconf": [ + [ + 5486.814034835568, + 12.324670356818933, + 17.074162534083715, + 22.955925047024667, + 30.104565557074483, + 38.65737331922167, + 48.754152616116656, + 60.53707889347154 + ], + [ + 6501.962488165836, + 21.308944582479487, + 29.520658378480448, + 39.69002987540002, + 52.049791236842005, + 66.83731101235945, + 84.29430615057198, + 104.66659326206289 + ], + [ + 7417.120039909661, + 32.58393851652955, + 45.14063631113712, + 60.69082812494577, + 79.59038942050294, + 102.20228525196526, + 128.89612989852577, + 160.04780651547568 + ], + [ + 8259.80327208364, + 46.100259330853184, + 63.86566925442357, + 85.86632073789688, + 112.60571188063899, + 144.59737124569202, + 182.36423482234878, + 226.4381079026011 + ], + [ + 9046.680594363157, + 61.8184663025492, + 85.64111742538572, + 115.1430454428491, + 150.99941966506532, + 193.8988598228253, + 244.5426006011775, + 303.6437700388713 + ], + [ + 9788.787909728917, + 79.70581304639707, + 110.42161513979259, + 148.46000883852514, + 194.69152558774877, + 250.0040391702561, + 315.3016884955202, + 391.5039472019941 + ], + [ + 10493.896344582878, + 99.73435813049673, + 138.16845332584901, + 185.76516722737907, + 243.61377916863228, + 312.825268618274, + 394.53096728663235, + 489.8813949368752 + ], + [ + 11167.732195040138, + 121.8797722083898, + 168.8479269672136, + 227.01320478046256, + 297.70675290302836, + 382.286237109347, + 482.13419450831213, + 598.6566108533225 + ] + ], + "Psol": [ + [ + 5476.275971200018, + 2.2432956032068105, + 7.300568888516448, + 13.36878776954433, + 20.618816112547417, + 29.22157799702677, + 39.33624321025367, + 51.11653057449365 + ], + [ + 6483.2281528137455, + 3.386500576057923, + 12.14538078636085, + 22.64623027099052, + 35.186236668793875, + 50.062563772901854, + 67.55135609570445, + 87.9189518061022 + ], + [ + 7387.847640922019, + 4.580119756495868, + 17.991765073450267, + 34.05989124305593, + 53.241085407927756, + 75.99174269031276, + 102.73527043779524, + 133.87961674053713 + ], + [ + 8217.651017541435, + 5.774760316404674, + 24.771294672154482, + 47.517771627975506, + 74.6627141025307, + 106.85418995691242, + 144.6925971988968, + 188.75591462668956 + ], + [ + 8989.306692347378, + 6.930981532883209, + 32.42932979951945, + 62.946409154345005, + 99.35478380041792, + 142.5261964019864, + 193.26731605814564, + 252.35411807999174 + ], + [ + 9713.850568320553, + 8.016037020710826, + 40.92050477131423, + 80.28481042088715, + 127.23730731555627, + 182.9050502124257, + 248.32988827605004, + 324.5133813781514 + ], + [ + 10399.053771862918, + 9.001985347987599, + 50.206110515743575, + 99.48093173005603, + 158.24203416788865, + 227.9031107185199, + 309.7697826338654, + 405.0964600660743 + ], + [ + 11050.64259908957, + 9.864497168255042, + 60.25244201646615, + 120.48945725290324, + 192.30953685272763, + 277.444066862737, + 377.4907566653901, + 493.9838517535683 + ] + ], + "f_rad": [ + [ + 0.002999816724208166, + 0.8838583580111653, + 0.7106342195722215, + 0.587322114779269, + 0.49650297720968756, + 0.4274704107174021, + 0.37366115072986783, + 0.3308404255372669 + ], + [ + 0.004202690829827829, + 0.891670714728414, + 0.7032108598820128, + 0.5700693916020937, + 0.47289941162590726, + 0.3997758397570372, + 0.34337786434124506, + 0.29898430178697616 + ], + [ + 0.005540798976629866, + 0.9006382117166095, + 0.702150502785747, + 0.5624994914560186, + 0.46109526834102715, + 0.385219205862216, + 0.32705493088312887, + 0.2815623138439706 + ], + [ + 0.006996001977548645, + 0.909471744744634, + 0.7038220353371295, + 0.5594761617884025, + 0.4549839548641911, + 0.3770718614086247, + 0.31757494988442847, + 0.2712277614104787 + ], + [ + 0.008555434580248808, + 0.9177984650897333, + 0.7067251589443498, + 0.5587856253288414, + 0.45190101165074786, + 0.3723879388333371, + 0.311822435693209, + 0.26477068710961554 + ], + [ + 0.010209353630576356, + 0.9255381034053445, + 0.7101754993413167, + 0.5593635664573834, + 0.4505441443579928, + 0.3697181356587112, + 0.30826073165471796, + 0.26060684316695637 + ], + [ + 0.01195004394053916, + 0.9327080912932818, + 0.7138390189473033, + 0.5606551949410172, + 0.45022058441410207, + 0.3682846404252438, + 0.30606158496615704, + 0.25788050827838116 + ], + [ + 0.013771194760452975, + 0.9393564539307392, + 0.7175456165728821, + 0.5623532235867361, + 0.4505371757223881, + 0.36764124028583295, + 0.30474715390180723, + 0.2560964193558574 + ] + ], + "tauE": [ + [ + 0.006508328403622307, + 3.24220808489872, + 2.5891764967461754, + 2.1108551829157753, + 1.750731389846737, + 1.4732808176187524, + 1.2553008914370838, + 1.0811377746156352 + ], + [ + 0.007322914723733394, + 2.50030502261133, + 1.9967043538613312, + 1.6278356224055697, + 1.3501176891346418, + 1.1361551546202402, + 0.9680548075761988, + 0.8337448236579653 + ], + [ + 0.008024225808257872, + 2.043908118224107, + 1.6322329482377669, + 1.3306962205332236, + 1.103671944192718, + 0.9287653798595973, + 0.7913494802423707, + 0.6815559694481083 + ], + [ + 0.00864669204628782, + 1.7335757522668334, + 1.384406390818857, + 1.1286528396168227, + 0.9360983029766032, + 0.7877482983278379, + 0.6711966444504903, + 0.5780733937661308 + ], + [ + 0.00921037319677044, + 1.5082549376813812, + 1.2044687242422911, + 0.9819566384995023, + 0.8144293006945028, + 0.6853610285270021, + 0.5839581292158076, + 0.5029385357691601 + ], + [ + 0.009728133304518674, + 1.336887715707915, + 1.0676175500338838, + 0.8703871836056575, + 0.7218942237211347, + 0.6074906283888785, + 0.517609079163054, + 0.44579489410427137 + ], + [ + 0.010208787981810385, + 1.2019673046566068, + 0.9598722270694282, + 0.7825466004317133, + 0.6490397391929075, + 0.5461819004164291, + 0.46537131161981027, + 0.40080470558625236 + ], + [ + 0.010658680743369283, + 1.0928569236867263, + 0.8727383890921339, + 0.7115097616017387, + 0.5901221855010765, + 0.49660142097874954, + 0.42312653432297853, + 0.36442105858386475 + ] + ], + "betaN": [ + [ + 0.5944884683038691, + 0.6652270976112213, + 0.7359610025400138, + 0.8066905552486976, + 0.8774161375699068, + 0.9481381262884191, + 1.0188568853114066, + 1.0895727617354494 + ], + [ + 0.7926512910718257, + 0.8869694634816294, + 0.9812813367200185, + 1.0755874069982634, + 1.169888183426543, + 1.2641841683845592, + 1.3584758470818752, + 1.4527636823139325 + ], + [ + 0.990814113839782, + 1.1087118293520362, + 1.2266016709000234, + 1.3444842587478292, + 1.4623602292831777, + 1.5802302104806991, + 1.6980948088523444, + 1.815954602892416 + ], + [ + 1.188976936607739, + 1.3304541952224438, + 1.4719220050800281, + 1.6133811104973952, + 1.7548322751398144, + 1.8962762525768388, + 2.0377137706228132, + 2.179145523470899 + ], + [ + 1.3871397593756958, + 1.5521965610928505, + 1.7172423392600327, + 1.8822779622469608, + 2.0473043209964503, + 2.212322294672977, + 2.377332732393282, + 2.542336444049381 + ], + [ + 1.5853025821436515, + 1.7739389269632588, + 1.962562673440037, + 2.1511748139965268, + 2.339776366853086, + 2.5283683367691183, + 2.7169516941637504, + 2.905527364627865 + ], + [ + 1.7834654049116085, + 1.9956812928336658, + 2.207883007620042, + 2.420071665746091, + 2.6322484127097194, + 2.8444143788652583, + 3.0565706559342187, + 3.2687182852063477 + ], + [ + 1.981628227679564, + 2.2174236587040723, + 2.4532033418000467, + 2.6889685174956584, + 2.9247204585663553, + 3.1604604209613982, + 3.396189617704689, + 3.631909205784832 + ] + ], + "Pfusion": [ + [ + 39.50668877044258, + 50.21932534566566, + 61.430983914657915, + 72.93433643950269, + 84.5619847633087, + 96.18127631603791, + 107.68874446533471, + 119.00493525632237 + ], + [ + 70.2341133696757, + 89.27880061451674, + 109.21063807050307, + 129.6610425591159, + 150.33241735699346, + 170.9889356729563, + 191.44665682726176, + 211.56432934457305 + ], + [ + 109.7408021401183, + 139.49812596018236, + 170.64162198516104, + 202.59537899861851, + 234.89440212030206, + 267.17021198899425, + 299.1354012925965, + 330.5692646008955 + ], + [ + 158.02675508177037, + 200.87730138266275, + 245.72393565863192, + 291.7373457580108, + 338.2479390532351, + 384.72510526415175, + 430.75497786133894, + 476.0197410252896 + ], + [ + 215.0919721946319, + 273.41632688195745, + 334.45757909091543, + 397.08694283729255, + 460.39302815579236, + 523.6536154984286, + 586.3053865334892, + 647.9157586177553 + ], + [ + 280.9364534787028, + 357.11520245806696, + 436.84255228201226, + 518.6441702364637, + 601.3296694279738, + 683.9557426918252, + 765.786627309047, + 846.2573173782922 + ], + [ + 355.5601989339832, + 451.9739281109912, + 552.8788552319213, + 656.4090279555244, + 761.0578628697784, + 865.6314868443411, + 969.1987001880123, + 1071.0444173069018 + ], + [ + 438.96320856047345, + 557.9925038407297, + 682.5664879406444, + 810.3815159944743, + 939.5776084812085, + 1068.680847955977, + 1196.541605170386, + 1322.277058403583 + ] + ], + "Pohmic": [ + [ + 1.1406187913241388, + 0.9827329464646599, + 0.8593266375874834, + 0.7606686358455705, + 0.6802660185555319, + 0.6137009574725956, + 0.5578162321253268, + 0.5103296822321376 + ], + [ + 1.119022239951111, + 0.9639199607015823, + 0.8426857683626133, + 0.7457638425069418, + 0.6667772208685406, + 0.6013864959070209, + 0.5464900970435782, + 0.49984590255363126 + ], + [ + 1.1027284144050988, + 0.9497589163789628, + 0.8301865990416535, + 0.7345910080845293, + 0.6566846191770491, + 0.5921884767312182, + 0.538043883702226, + 0.49203954706185843 + ], + [ + 1.0896804488395895, + 0.9384386992543278, + 0.8202112785214967, + 0.7256879424634423, + 0.6486539548730802, + 0.5848795400006047, + 0.5313408656908135, + 0.48585169891812985 + ], + [ + 1.0788180988091114, + 0.9290278123061142, + 0.8119293568232385, + 0.7183054225467596, + 0.642002633368191, + 0.5788326603877345, + 0.5258010452216132, + 0.4807426616802027 + ], + [ + 1.0695248223398302, + 0.920985557338499, + 0.8048595731312218, + 0.712009896173286, + 0.6363361801608188, + 0.5736859083654351, + 0.5210899967314281, + 0.47640154780690314 + ], + [ + 1.0614111705394416, + 0.9139709095331248, + 0.798698807542495, + 0.7065286334679571, + 0.631406729114277, + 0.5692121016622088, + 0.5169979986343829, + 0.4726335623926815 + ], + [ + 1.0542157893761246, + 0.9077553082654609, + 0.7932441448967971, + 0.7016792610367477, + 0.6270486975215053, + 0.5652596126663817, + 0.5133851930668099, + 0.4693089002133981 + ] + ], + "n_i_20_avg": [ + [ + 0.6072309825707022, + 0.6071663964806548, + 0.6071060731159484, + 0.6070494769504278, + 0.6069962592186215, + 0.6069461684993146, + 0.6068990071511782, + 0.6068546092655243 + ], + [ + 0.8096413100942697, + 0.8095551953075399, + 0.809474764154598, + 0.8093993026005705, + 0.8093283456248289, + 0.8092615579990864, + 0.809198676201571, + 0.8091394790206989 + ], + [ + 1.0120516376178368, + 1.0119439941344248, + 1.0118434551932474, + 1.011749128250713, + 1.011660432031036, + 1.0115769474988576, + 1.0114983452519637, + 1.0114243487758738 + ], + [ + 1.2144619651414046, + 1.21433279296131, + 1.214212146231897, + 1.2140989539008558, + 1.2139925184372433, + 1.2138923369986294, + 1.2137980143023568, + 1.2137092185310485 + ], + [ + 1.4168722926649717, + 1.4167215917881948, + 1.4165808372705464, + 1.4164487795509983, + 1.4163246048434506, + 1.416207726498401, + 1.4160976833527494, + 1.4159940882862234 + ], + [ + 1.6192826201885393, + 1.6191103906150799, + 1.618949528309196, + 1.618798605201141, + 1.6186566912496578, + 1.6185231159981728, + 1.618397352403142, + 1.6182789580413979 + ], + [ + 1.8216929477121064, + 1.8214991894419648, + 1.8213182193478452, + 1.8211484308512835, + 1.8209887776558649, + 1.820838505497944, + 1.8206970214535347, + 1.8205638277965728 + ], + [ + 2.024103275235674, + 2.0238879882688496, + 2.023686910386495, + 2.0234982565014263, + 2.0233208640620726, + 2.0231538949977157, + 2.022996690503928, + 2.0228486975517477 + ] + ], + "vloop": [ + [ + 0.11406187913241388, + 0.09827329464646599, + 0.08593266375874833, + 0.07606686358455705, + 0.06802660185555319, + 0.06137009574725956, + 0.05578162321253268, + 0.05103296822321376 + ], + [ + 0.1119022239951111, + 0.09639199607015822, + 0.08426857683626134, + 0.07457638425069418, + 0.06667772208685406, + 0.06013864959070209, + 0.05464900970435782, + 0.04998459025536313 + ], + [ + 0.11027284144050989, + 0.09497589163789628, + 0.08301865990416535, + 0.07345910080845293, + 0.06566846191770491, + 0.05921884767312182, + 0.0538043883702226, + 0.04920395470618584 + ], + [ + 0.10896804488395895, + 0.09384386992543278, + 0.08202112785214967, + 0.07256879424634423, + 0.06486539548730802, + 0.058487954000060474, + 0.05313408656908135, + 0.04858516989181298 + ], + [ + 0.10788180988091114, + 0.09290278123061142, + 0.08119293568232386, + 0.07183054225467596, + 0.0642002633368191, + 0.05788326603877345, + 0.05258010452216132, + 0.04807426616802027 + ], + [ + 0.10695248223398302, + 0.0920985557338499, + 0.08048595731312218, + 0.0712009896173286, + 0.06363361801608189, + 0.05736859083654351, + 0.05210899967314281, + 0.047640154780690315 + ], + [ + 0.10614111705394416, + 0.09139709095331247, + 0.0798698807542495, + 0.07065286334679571, + 0.06314067291142769, + 0.056921210166220884, + 0.05169979986343829, + 0.04726335623926815 + ], + [ + 0.10542157893761246, + 0.09077553082654609, + 0.07932441448967971, + 0.07016792610367477, + 0.06270486975215053, + 0.05652596126663817, + 0.051338519306680985, + 0.04693089002133981 + ] + ] + } +} \ No newline at end of file diff --git a/tests/generate_golden.py b/tests/generate_golden.py new file mode 100644 index 0000000..ab971d7 --- /dev/null +++ b/tests/generate_golden.py @@ -0,0 +1,45 @@ +""" +Regenerate the golden regression file. + +Run whenever a change intentionally alters the computed results: + + uv run python tests/generate_golden.py + +review the diff to tests/data/golden_manta.json and commit it together with +the change that caused it. +""" +import json +import os +import sys + +import numpy as np + +sys.path.insert(0, os.path.dirname(__file__)) +from helpers import GOLDEN_FIELDS, GOLDEN_PATH, SMALL_GRID, solve_small_manta + +import openpopcon as op +import numba +import numpy + + +def main(): + pc = solve_small_manta(parallel=False) + payload = { + "meta": { + "grid": SMALL_GRID, + "openpopcon": op.__version__, + "numpy": numpy.__version__, + "numba": numba.__version__, + "note": "regenerate with `uv run python tests/generate_golden.py`", + }, + "fields": {f: np.asarray(pc.output[f].values).tolist() for f in GOLDEN_FIELDS}, + } + os.makedirs(os.path.dirname(GOLDEN_PATH), exist_ok=True) + with open(GOLDEN_PATH, "w") as fh: + json.dump(payload, fh, indent=1) + print(f"Wrote {GOLDEN_PATH} ({len(GOLDEN_FIELDS)} fields, " + f"{SMALL_GRID['Nn']}x{SMALL_GRID['NTi']} grid).") + + +if __name__ == "__main__": + main() diff --git a/tests/helpers.py b/tests/helpers.py new file mode 100644 index 0000000..cafc89d --- /dev/null +++ b/tests/helpers.py @@ -0,0 +1,40 @@ +""" +Shared setup for the test suite. + +Solves the MANTA example. +""" +import os + +import matplotlib +matplotlib.use("Agg") + +import openpopcon as op + +MANTA = op.example_dir("MANTA") +SETTINGS = os.path.join(MANTA, "POPCON_input_example.yaml") +PLOTSETTINGS = os.path.join(MANTA, "plotsettings.yml") + +SMALL_GRID = dict(Nn=8, NTi=8, nr=60) + +GOLDEN_FIELDS = [ + "Paux", "Q", "Pheat", "Pconf", "Psol", "f_rad", + "tauE", "betaN", "Pfusion", "Pohmic", "n_i_20_avg", "vloop", +] + +GOLDEN_PATH = os.path.join(os.path.dirname(__file__), "data", "golden_manta.json") + +UNPHYSICAL = 99998.0 + +def solve_small_manta(parallel=False): + """ + Solve the MANTA example on the small grid. parallel=False keeps the run + deterministic so golden comparisons are exact up to floating point. + """ + pc = op.POPCON(settingsfile=SETTINGS, plotsettingsfile=PLOTSETTINGS) + pc.settings.Nn = SMALL_GRID["Nn"] + pc.settings.NTi = SMALL_GRID["NTi"] + pc.settings.nr = SMALL_GRID["nr"] + pc.settings.parallel = parallel + pc.settings.verbosity = 0 + pc.run_POPCON() + return pc diff --git a/tests/test_invariants.py b/tests/test_invariants.py new file mode 100644 index 0000000..bbc84fa --- /dev/null +++ b/tests/test_invariants.py @@ -0,0 +1,66 @@ +""" +Physics/consistency invariants that should hold regardless of the exact numbers, +so they keep protecting the code even after the golden file is regenerated. +""" +import matplotlib.pyplot as plt +import numpy as np +import pytest + +import openpopcon as op +from helpers import UNPHYSICAL, solve_small_manta, SETTINGS, PLOTSETTINGS + + +def _valid_mask(pc): + return np.asarray(pc.output["Paux"].values) < UNPHYSICAL + + +def test_pheat_equals_confinement_loss(solved_manta): + valid = _valid_mask(solved_manta) + pheat = np.asarray(solved_manta.output["Pheat"].values)[valid] + pconf = np.asarray(solved_manta.output["Pconf"].values)[valid] + np.testing.assert_allclose(pheat, pconf, rtol=1e-6, atol=1e-6) + + +def test_masked_points_use_sentinel(solved_manta): + paux = np.asarray(solved_manta.output["Paux"].values) + masked = paux >= UNPHYSICAL + assert masked.any(), "expected some unphysical points in this scan" + assert (~masked).any(), "expected some solved points in this scan" + assert np.all(paux[masked] == 99999.0) + + +def test_solved_paux_nonnegative(solved_manta): + paux = np.asarray(solved_manta.output["Paux"].values) + valid = paux < UNPHYSICAL + assert np.all(paux[valid] >= 0.0) + + +def test_parallel_matches_serial(solved_manta): + par = solve_small_manta(parallel=True) + for field in ("Paux", "Q", "Pheat", "betaN"): + np.testing.assert_allclose( + np.asarray(par.output[field].values), + np.asarray(solved_manta.output[field].values), + rtol=1e-9, atol=1e-9, + err_msg=f"parallel and serial disagree on {field}", + ) + + +def test_single_point_runs(solved_manta): + solved_manta.single_point(0.6, 8.0, plot=True, show=False) + plt.close("all") + + +def test_output_roundtrip(solved_manta, tmp_path): + solved_manta.write_output(name="rt", directory=str(tmp_path), archive=False) + + restored = op.POPCON(settingsfile=SETTINGS, plotsettingsfile=PLOTSETTINGS) + restored.read_output("rt", directory=str(tmp_path)) + for field in ("Paux", "betaN", "Q"): + np.testing.assert_allclose( + np.asarray(restored.output[field].values), + np.asarray(solved_manta.output[field].values), + rtol=1e-9, atol=1e-9, + err_msg=f"roundtrip changed {field}", + ) + plt.close("all") diff --git a/tests/test_regression.py b/tests/test_regression.py new file mode 100644 index 0000000..f2ec138 --- /dev/null +++ b/tests/test_regression.py @@ -0,0 +1,31 @@ +""" +Golden-value regression: the MANTA scan must reproduce the frozen reference +output. A failure here means the physics changed. If that was intentional, +regenerate the golden file (see generate_golden.py) and commit the new values. +""" +import json + +import numpy as np +import pytest + +from helpers import GOLDEN_FIELDS, GOLDEN_PATH + + +@pytest.fixture(scope="module") +def golden(): + with open(GOLDEN_PATH) as fh: + return json.load(fh) + + +@pytest.mark.parametrize("field", GOLDEN_FIELDS) +def test_field_matches_golden(solved_manta, golden, field): + got = np.asarray(solved_manta.output[field].values) + ref = np.asarray(golden["fields"][field], dtype=float) + assert got.shape == ref.shape, f"{field}: shape {got.shape} != golden {ref.shape}" + # rtol is loose enough to survive libm/BLAS differences across platforms but + # far tighter than any real physics change, which moves results by percents. + np.testing.assert_allclose( + got, ref, rtol=1e-6, atol=1e-8, + err_msg=(f"{field} differs from the golden reference. If this change is " + f"intentional, regenerate with `uv run python tests/generate_golden.py`."), + ) diff --git a/tests/test_validation.py b/tests/test_validation.py new file mode 100644 index 0000000..bc37c05 --- /dev/null +++ b/tests/test_validation.py @@ -0,0 +1,76 @@ +""" +Settings validation. Two guarantees: + - every example passes validation (the code must never reject its own + examples, several of which use edge-case values on purpose), and + - obviously bad settings are rejected at construction with a clear ValueError. +""" +import glob +import os + +import yaml +import pytest + +import openpopcon as op +from openpopcon.lib.openpopcon_util import package_resource +from helpers import PLOTSETTINGS, SETTINGS + + +def _settings_file(example): + # settings files are *.yaml; plotsettings are *.yml + matches = glob.glob(os.path.join(op.example_dir(example), "*.yaml")) + assert len(matches) == 1, f"{example}: expected one settings .yaml, found {matches}" + return matches[0] + + +@pytest.mark.parametrize("example", op.list_examples()) +def test_shipped_examples_validate(example): + settings = _settings_file(example) + plotsettings = os.path.join(op.example_dir(example), "plotsettings.yml") + # construction runs __check_settings; it must not raise for shipped examples + op.POPCON(settingsfile=settings, plotsettingsfile=plotsettings) + + +def _write_settings(tmp_path, **overrides): + with open(SETTINGS) as fh: + data = yaml.safe_load(fh) + # detach from the gEQDSK/profile files: validation doesn't need them and it + # keeps these settings self-contained + data["gfilename"] = "" + data["profsfilename"] = "" + data.update(overrides) + path = tmp_path / "bad.yaml" + with open(path, "w") as fh: + yaml.safe_dump(data, fh) + return str(path) + + +BAD_SETTINGS = { + "Tmin_ge_Tmax": dict(Tmin_keV=12.0, Tmax_keV=11.0), + "nmin_ge_nmax": dict(nmin_frac=0.9, nmax_frac=0.3), + "a_ge_R": dict(a=5.0), # R is 4.55 + "delta_out_of_range": dict(delta=1.5), + "grid_too_small": dict(Nn=1), + "bad_fuel": dict(fuel=7), + "impurity_index_out_of_range": dict(impurity=9), + "wrong_impurity_length": dict(impurityfractions=[0.1, 0.2]), +} + + +@pytest.mark.parametrize("name", list(BAD_SETTINGS)) +def test_bad_settings_rejected(tmp_path, name): + settings = _write_settings(tmp_path, **BAD_SETTINGS[name]) + with pytest.raises(ValueError): + op.POPCON(settingsfile=settings, plotsettingsfile=PLOTSETTINGS) + + +def test_singular_scaling_law_rejected(tmp_path): + # Pheat_alpha = -1 makes the closed-form solver (W/K)**(1/(1+alpha)) singular. + laws = yaml.safe_load(open(package_resource("scalinglaws.yml"))) + laws["H98y2"]["Pheat_alpha"] = -1 + slfile = tmp_path / "scalinglaws.yml" + with open(slfile, "w") as fh: + yaml.safe_dump(laws, fh) + + with pytest.raises(ValueError, match="singular"): + op.POPCON(settingsfile=SETTINGS, plotsettingsfile=PLOTSETTINGS, + scalinglawfile=str(slfile)) diff --git a/uv.lock b/uv.lock index 03ca8cf..e980ed5 100644 --- a/uv.lock +++ b/uv.lock @@ -12,7 +12,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-07-14T01:10:42.621351Z" +exclude-newer = "2026-07-14T23:48:10.037764Z" exclude-newer-span = "P1W" [[package]] @@ -638,6 +638,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1e/5e/d4e9f1a599fb8e573b7b87160658329fbf28d19eac2718f51fc3def3aa5a/idna-3.18-py3-none-any.whl", hash = "sha256:7f952cbe720b688055e3f87de14f5c3e5fdaa8bc3928985c4077ca689de849a2", size = 65455, upload-time = "2026-06-02T14:34:06.319Z" }, ] +[[package]] +name = "iniconfig" +version = "2.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" }, +] + [[package]] name = "ipykernel" version = "7.3.0" @@ -1593,6 +1602,9 @@ netcdf4 = [ notebooks = [ { name = "jupyterlab" }, ] +test = [ + { name = "pytest" }, +] [package.metadata] requires-dist = [ @@ -1602,11 +1614,12 @@ requires-dist = [ { name = "matplotlib" }, { name = "numba", specifier = ">=0.60" }, { name = "numpy", specifier = ">=2.0" }, + { name = "pytest", marker = "extra == 'test'", specifier = ">=7" }, { name = "pyyaml" }, { name = "scipy" }, { name = "xarray" }, ] -provides-extras = ["notebooks", "netcdf4"] +provides-extras = ["notebooks", "netcdf4", "test"] [[package]] name = "overrides" @@ -1820,6 +1833,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/81/e6/cd9575ac904136b3cbf7aa7ee819ef86eedb7274e46f230e94ea4342e729/platformdirs-4.10.0-py3-none-any.whl", hash = "sha256:fb516cdb12eb0d857d0cd85a7c57cea4d060bee4578d6cf5a14dfdf8cbf8784a", size = 22743, upload-time = "2026-05-28T03:32:52.175Z" }, ] +[[package]] +name = "pluggy" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" }, +] + [[package]] name = "prometheus-client" version = "0.25.0" @@ -1908,6 +1930,24 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d", size = 122781, upload-time = "2026-01-21T03:57:55.912Z" }, ] +[[package]] +name = "pytest" +version = "9.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'win32'" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "iniconfig" }, + { name = "packaging" }, + { name = "pluggy" }, + { name = "pygments" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e4/47/b9efed96c114afcfa3c9d3fe98a76a1d14c74a9e266d397cf6eb64be5e01/pytest-9.1.1.tar.gz", hash = "sha256:1088fbde8f2b49d95a549a195707afa7a76a3ce9bcadc26b6d71f0ffda5fe313", size = 1636369, upload-time = "2026-06-19T10:58:32.857Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/24/25/1de2678b631f5a49215c6c96fff41ba892b0a34df68d6d80292b1b48aa7f/pytest-9.1.1-py3-none-any.whl", hash = "sha256:37a86b45efb9a47a61a36449063e8e18d0cab3161329fc099eb21783169c4f0c", size = 386536, upload-time = "2026-06-19T10:58:31.347Z" }, +] + [[package]] name = "python-dateutil" version = "2.9.0.post0" From 9331c8f6592f661fb0fad8f95fe5ba8d15618804 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Tue, 21 Jul 2026 19:58:51 -0400 Subject: [PATCH 12/14] Formatted with ruff --- example_run.py | 10 +- openpopcon/__init__.py | 20 +- openpopcon/cli.py | 56 +- openpopcon/core.py | 2516 +++++++++++------ openpopcon/lib/neat_json_encoder.py | 12 +- openpopcon/lib/openpopcon_util.py | 298 +- openpopcon/lib/phys_lib.py | 782 ++--- .../resources/examples/MANTA/manta_ex.ipynb | 28 +- .../resources/examples/NSF/NSF_run.ipynb | 34 +- .../resources/examples/NSF/makeNSFprofiles.py | 18 +- .../resources/examples/SPARC/SPARC_EX.ipynb | 28 +- tests/conftest.py | 2 + tests/generate_golden.py | 7 +- tests/helpers.py | 17 +- tests/test_invariants.py | 7 +- tests/test_regression.py | 12 +- tests/test_validation.py | 10 +- 17 files changed, 2348 insertions(+), 1509 deletions(-) diff --git a/example_run.py b/example_run.py index c8bbbbd..4ff10e2 100644 --- a/example_run.py +++ b/example_run.py @@ -11,19 +11,19 @@ To start changing the machine, get an editable copy of the examples with `openpopcon examples ./my_scans` and point settingsfile at one of those. """ + import os import matplotlib.pyplot as plt import openpopcon as op -manta = op.example_dir('MANTA') -settingsfile = os.path.join(manta, 'POPCON_input_example.yaml') -plotsettingsfile = os.path.join(manta, 'plotsettings.yml') +manta = op.example_dir("MANTA") +settingsfile = os.path.join(manta, "POPCON_input_example.yaml") +plotsettingsfile = os.path.join(manta, "plotsettings.yml") # scalinglawfile defaults to the copy shipped with the package -pc = op.POPCON(settingsfile=settingsfile, - plotsettingsfile=plotsettingsfile) +pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile) # solve power balance over the whole density/temperature grid pc.run_POPCON() diff --git a/openpopcon/__init__.py b/openpopcon/__init__.py index 8fcee91..56ff8dc 100644 --- a/openpopcon/__init__.py +++ b/openpopcon/__init__.py @@ -28,14 +28,14 @@ __version__ = "2.0.0" __all__ = [ - 'POPCON', - 'POPCON_scan', - 'POPCON_settings', - 'POPCON_plotsettings', - 'POPCON_algorithms', - 'POPCON_data_spec', - 'build_dataset', - 'example_dir', - 'list_examples', - '__version__', + "POPCON", + "POPCON_scan", + "POPCON_settings", + "POPCON_plotsettings", + "POPCON_algorithms", + "POPCON_data_spec", + "build_dataset", + "example_dir", + "list_examples", + "__version__", ] diff --git a/openpopcon/cli.py b/openpopcon/cli.py index 772e432..ae6f015 100644 --- a/openpopcon/cli.py +++ b/openpopcon/cli.py @@ -2,6 +2,7 @@ Command line entry point. Currently just copies the worked examples somewhere editable, since the installed copies live inside site-packages. """ + import argparse import pathlib import shutil @@ -14,14 +15,20 @@ def _copy_examples(dest: pathlib.Path, force: bool, which=None) -> int: names = which or list_examples() unknown = [n for n in names if n not in list_examples()] if unknown: - print(f"No example named {', '.join(unknown)}. " - f"Available: {', '.join(list_examples())}.", file=sys.stderr) + print( + f"No example named {', '.join(unknown)}. " + f"Available: {', '.join(list_examples())}.", + file=sys.stderr, + ) return 1 existing = [n for n in names if dest.joinpath(n).exists()] if existing and not force: - print(f"Already present in {dest}: {', '.join(existing)}. " - f"Use --force to overwrite.", file=sys.stderr) + print( + f"Already present in {dest}: {', '.join(existing)}. " + f"Use --force to overwrite.", + file=sys.stderr, + ) return 1 dest.mkdir(parents=True, exist_ok=True) @@ -31,31 +38,42 @@ def _copy_examples(dest: pathlib.Path, force: bool, which=None) -> int: shutil.rmtree(target) shutil.copytree(example_dir(name), target) print(f" {target}") - print(f"\nCopied {len(names)} example(s). To run one:\n" - f" cd {dest.joinpath(names[0])}\n" - f" python -c \"import openpopcon as op; " - f"pc = op.POPCON(settingsfile='POPCON_input_example.yaml', " - f"plotsettingsfile='plotsettings.yml'); pc.run_POPCON(); pc.plot()\"") + print( + f"\nCopied {len(names)} example(s). To run one:\n" + f" cd {dest.joinpath(names[0])}\n" + f' python -c "import openpopcon as op; ' + f"pc = op.POPCON(settingsfile='POPCON_input_example.yaml', " + f"plotsettingsfile='plotsettings.yml'); pc.run_POPCON(); pc.plot()\"" + ) return 0 def main(argv=None) -> int: parser = argparse.ArgumentParser( - prog='openpopcon', description='0-D tokamak scoping tool.') - sub = parser.add_subparsers(dest='command', required=True) + prog="openpopcon", description="0-D tokamak scoping tool." + ) + sub = parser.add_subparsers(dest="command", required=True) - ex = sub.add_parser('examples', help='copy the worked examples somewhere editable') - ex.add_argument('dest', nargs='?', default='./openpopcon_examples', - help='where to copy them (default: ./openpopcon_examples)') - ex.add_argument('--force', action='store_true', help='overwrite existing copies') - ex.add_argument('--only', nargs='+', metavar='NAME', - help=f'copy only these (of: {", ".join(list_examples())})') + ex = sub.add_parser("examples", help="copy the worked examples somewhere editable") + ex.add_argument( + "dest", + nargs="?", + default="./openpopcon_examples", + help="where to copy them (default: ./openpopcon_examples)", + ) + ex.add_argument("--force", action="store_true", help="overwrite existing copies") + ex.add_argument( + "--only", + nargs="+", + metavar="NAME", + help=f"copy only these (of: {', '.join(list_examples())})", + ) args = parser.parse_args(argv) - if args.command == 'examples': + if args.command == "examples": return _copy_examples(pathlib.Path(args.dest), args.force, args.only) return 1 -if __name__ == '__main__': +if __name__ == "__main__": sys.exit(main()) diff --git a/openpopcon/core.py b/openpopcon/core.py index c84c3dd..a9658cf 100644 --- a/openpopcon/core.py +++ b/openpopcon/core.py @@ -37,7 +37,7 @@ __version__ = "2.0.0" # P_aux at a grid point with no physical solution. Plotting masks on this. -UNPHYSICAL = 99999. +UNPHYSICAL = 99999.0 # why a grid point has no physical solution. P_aux is set to UNPHYSICAL for all # of these; the flag survives so the reason can be reported @@ -55,62 +55,144 @@ # every key POPCON_settings.read understands; anything else in a settings file # is ignored, so it gets reported as a likely typo KNOWN_SETTINGS_KEYS = { - 'name', 'R', 'a', 'kappa', 'delta', - 'B_0', 'B_coil', 'wall_thickness', 'I_P', 'qstar', - 'tipeak_over_tepeak', 'fuel', 'impurityfractions', 'Zeff_target', 'impurity', - 'scalinglaw', 'H_fac', 'nr', 'gfilename', 'profsfilename', - 'j_alpha1', 'j_alpha2', 'j_offset', - 'ne_alpha1', 'ne_alpha2', 'ne_offset', - 'ni_alpha1', 'ni_alpha2', 'ni_offset', - 'Ti_alpha1', 'Ti_alpha2', 'Ti_offset', - 'Te_alpha1', 'Te_alpha2', 'Te_offset', - 'Nn', 'NTi', 'nmax_frac', 'nmin_frac', 'Tmax_keV', 'Tmin_keV', - 'resistivity_model', 'verbosity', 'parallel', + "name", + "R", + "a", + "kappa", + "delta", + "B_0", + "B_coil", + "wall_thickness", + "I_P", + "qstar", + "tipeak_over_tepeak", + "fuel", + "impurityfractions", + "Zeff_target", + "impurity", + "scalinglaw", + "H_fac", + "nr", + "gfilename", + "profsfilename", + "j_alpha1", + "j_alpha2", + "j_offset", + "ne_alpha1", + "ne_alpha2", + "ne_offset", + "ni_alpha1", + "ni_alpha2", + "ni_offset", + "Ti_alpha1", + "Ti_alpha2", + "Ti_offset", + "Te_alpha1", + "Te_alpha2", + "Te_offset", + "Nn", + "NTi", + "nmax_frac", + "nmin_frac", + "Tmax_keV", + "Tmin_keV", + "resistivity_model", + "verbosity", + "parallel", } # keys that used to do something. They are still accepted so that older # settings files keep working, but they are ignored, and saying so is more # useful than reporting them as typos DEPRECATED_SETTINGS_KEYS = { - 'maxit': "the solver is closed-form and does not iterate", - 'accel': "the solver is closed-form and does not iterate", - 'err': "the solver is closed-form and has no convergence tolerance", + "maxit": "the solver is closed-form and does not iterate", + "accel": "the solver is closed-form and does not iterate", + "err": "the solver is closed-form and has no convergence tolerance", } -DEFAULT_PLOTSETTINGS = package_resource('default_plotsettings.yml') -DEFAULT_SCALINGLAWS = package_resource('scalinglaws.yml') +DEFAULT_PLOTSETTINGS = package_resource("default_plotsettings.yml") +DEFAULT_SCALINGLAWS = package_resource("scalinglaws.yml") # core of calculations # jit compiled. Module level so cache=True works; jitclasses can't cache # Parameters the functions below operate on. namedtuple fields can't start # with an underscore, so the _*defined flags drop it. V is constant after setup -State = namedtuple('State', [ - 'R', 'a', 'kappa', 'delta', 'B0', 'Ip', 'Itot', 'M_i', - 'tipeak_over_tepeak', 'fuel', 'nr', - 'sqrtpsin', 'volgrid', 'agrid', 'impurityfractions', - 'rdefined', 'volgriddefined', 'agriddefined', - 'jdefined', 'nedefined', 'nidefined', 'Tidefined', 'Tedefined', - 'qdefined', 'ftrappeddefined', 'extradefined', - 'j_alpha1', 'j_alpha2', 'j_offset', - 'ne_alpha1', 'ne_alpha2', 'ne_offset', - 'ni_alpha1', 'ni_alpha2', 'ni_offset', - 'Ti_alpha1', 'Ti_alpha2', 'Ti_offset', - 'Te_alpha1', 'Te_alpha2', 'Te_offset', - 'j_prof', 'ne_prof', 'ni_prof', 'Te_prof', 'Ti_prof', - 'q_prof', 'ftrapped_prof', 'extraprof', - 'H_fac', 'scaling_const', 'M_i_alpha', 'Ip_alpha', 'R_alpha', - 'a_alpha', 'kappa_alpha', 'B0_alpha', 'Pheat_alpha', 'n20_alpha', - 'resistivity_alg', 'verbosity', - 'V', -]) - -#------------------------------------------------------------------- +State = namedtuple( + "State", + [ + "R", + "a", + "kappa", + "delta", + "B0", + "Ip", + "Itot", + "M_i", + "tipeak_over_tepeak", + "fuel", + "nr", + "sqrtpsin", + "volgrid", + "agrid", + "impurityfractions", + "rdefined", + "volgriddefined", + "agriddefined", + "jdefined", + "nedefined", + "nidefined", + "Tidefined", + "Tedefined", + "qdefined", + "ftrappeddefined", + "extradefined", + "j_alpha1", + "j_alpha2", + "j_offset", + "ne_alpha1", + "ne_alpha2", + "ne_offset", + "ni_alpha1", + "ni_alpha2", + "ni_offset", + "Ti_alpha1", + "Ti_alpha2", + "Ti_offset", + "Te_alpha1", + "Te_alpha2", + "Te_offset", + "j_prof", + "ne_prof", + "ni_prof", + "Te_prof", + "Ti_prof", + "q_prof", + "ftrapped_prof", + "extraprof", + "H_fac", + "scaling_const", + "M_i_alpha", + "Ip_alpha", + "R_alpha", + "a_alpha", + "kappa_alpha", + "B0_alpha", + "Pheat_alpha", + "n20_alpha", + "resistivity_alg", + "verbosity", + "V", + ], +) + +# ------------------------------------------------------------------- # Profiles and integration -#------------------------------------------------------------------- +# ------------------------------------------------------------------- + @nb.njit(cache=True) -def get_profile(s, rho, profid:int): +def get_profile(s, rho, profid: int): """ Returns the profile for a given profile ID at a given rho. Allows for easy interpolation at runtime and avoids implementing @@ -174,6 +256,7 @@ def get_profile(s, rho, profid:int): else: raise ValueError("Invalid profile ID.") + @nb.njit(cache=True) def volume_integral(s, rho, func) -> float: r""" @@ -185,10 +268,12 @@ def volume_integral(s, rho, func) -> float: # Integrates functions of rho dV-like V_interp = np.interp(rho, s.sqrtpsin, s.volgrid) return np.trapezoid(func, V_interp) - -#------------------------------------------------------------------- + + +# ------------------------------------------------------------------- # Physical Quantities -#------------------------------------------------------------------- +# ------------------------------------------------------------------- + @nb.njit(cache=True) def Zeff(s, T_e_keV) -> float: @@ -202,16 +287,21 @@ def Zeff(s, T_e_keV) -> float: # n20 cancels # Hydrogen isotopes + impurities - return ( (1-np.sum(s.impurityfractions)) + np.sum(s.impurityfractions*phys.get_Zeffs(T_e_keV)**2))*plasma_dilution(s, T_e_keV) + return ( + (1 - np.sum(s.impurityfractions)) + + np.sum(s.impurityfractions * phys.get_Zeffs(T_e_keV) ** 2) + ) * plasma_dilution(s, T_e_keV) + @nb.njit(cache=True) def plasma_dilution(s, T_e_keV) -> float: """ Plasma dilution factor; number of ions per electron. Always <=1. """ - dil = 1/(1 + np.sum(s.impurityfractions*phys.get_Zeffs(T_e_keV))) + dil = 1 / (1 + np.sum(s.impurityfractions * phys.get_Zeffs(T_e_keV))) return dil + # coefficient for Spitzer conductivity, necessary to obtain ohmic power # def get_Cspitz(self, volavgcurr:bool, T0): # Fz = (1+1.198*self.Zeff(T0) + 0.222*self.Zeff(T0)**2)/(1+2.966*self.Zeff(T0) + 0.753*self.Zeff(T0)**2) @@ -232,8 +322,9 @@ def plasma_dilution(s, T_e_keV) -> float: # # eta = const*Z_eff*ln(Lambda)*(T_e (keV))^(-3/2) # return + @nb.njit(cache=True) -def eta_NC(s, rho, T_e_keV:float, n_e_20:float): +def eta_NC(s, rho, T_e_keV: float, n_e_20: float): """ Neoclassical resistivity in Ohm-m. @@ -241,46 +332,77 @@ def eta_NC(s, rho, T_e_keV:float, n_e_20:float): """ if np.any(rho <= 0): - raise ValueError("Invalid rho value. Neoclassical resistivity not defined at rho=0.") - T_e_r = T_e_keV*get_profile(s, rho, 4) - n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + raise ValueError( + "Invalid rho value. Neoclassical resistivity not defined at rho=0." + ) + T_e_r = T_e_keV * get_profile(s, rho, 4) + n_e_r = 1e20 * n_e_20 * get_profile(s, rho, 1) q = get_profile(s, rho, 5) Zeffprof = np.empty_like(T_e_r) for i in np.arange(T_e_r.shape[0]): Zeffprof[i] = Zeff(s, T_e_r[i]) # logLambda = 17.1-np.log(np.sqrt(n_e_r)/(T_e_r*1e3)) # From Jardin logLambda = np.empty_like(Zeffprof) - where = T_e_r*1e3>10*Zeffprof**2 + where = T_e_r * 1e3 > 10 * Zeffprof**2 elsewhere = np.logical_not(where) - logLambda[where] = 24 - np.log(np.sqrt(n_e_r)/(T_e_r*1e3))[where] # Plasma Formulary - logLambda[elsewhere] = 23 - np.log(np.sqrt(n_e_r)*Zeffprof/(T_e_r*1e3)**(3/2))[elsewhere] # Plasma Formulary - logLambda[logLambda<5] = 5 - eta_C = 1.03e-4 * logLambda * (T_e_r*1e3)**(-3/2) - - Lambda_E = 3.4/Zeffprof * (1.13 + Zeffprof) / (2.67 + Zeffprof) - C_R = 0.56/Zeffprof * (3.0 - Zeffprof) / (3.0 + Zeffprof) - xi = 0.58 + 0.2*Zeffprof - invaspect = s.a/s.R + logLambda[where] = ( + 24 - np.log(np.sqrt(n_e_r) / (T_e_r * 1e3))[where] + ) # Plasma Formulary + logLambda[elsewhere] = ( + 23 - np.log(np.sqrt(n_e_r) * Zeffprof / (T_e_r * 1e3) ** (3 / 2))[elsewhere] + ) # Plasma Formulary + logLambda[logLambda < 5] = 5 + eta_C = 1.03e-4 * logLambda * (T_e_r * 1e3) ** (-3 / 2) + + Lambda_E = 3.4 / Zeffprof * (1.13 + Zeffprof) / (2.67 + Zeffprof) + C_R = 0.56 / Zeffprof * (3.0 - Zeffprof) / (3.0 + Zeffprof) + xi = 0.58 + 0.2 * Zeffprof + invaspect = s.a / s.R if not s.ftrappeddefined: # Cap possible trapped particle fraction at 1 - f_t = np.minimum(np.sqrt(2*rho*invaspect), 1.0) - nu_star_e = 1/10.2e16 * s.R * q * n_e_r * np.exp(logLambda) / (f_t * invaspect * (T_e_r*1e3)**2) - eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t/( 1 + xi * nu_star_e ) ) + f_t = np.minimum(np.sqrt(2 * rho * invaspect), 1.0) + nu_star_e = ( + 1 + / 10.2e16 + * s.R + * q + * n_e_r + * np.exp(logLambda) + / (f_t * invaspect * (T_e_r * 1e3) ** 2) + ) + eta_C_eta_NC_ratio = ( + Lambda_E + * (1 - f_t / (1 + xi * nu_star_e)) + * (1 - C_R * f_t / (1 + xi * nu_star_e)) + ) else: f_t_prof = get_profile(s, rho, 6) - nu_star_e = 1/10.2e16 * s.R * q * n_e_r * np.exp(logLambda) / (f_t_prof * invaspect * (T_e_r*1e3)**2) - eta_C_eta_NC_ratio = Lambda_E * ( 1 - f_t_prof/( 1 + xi * nu_star_e ) )*( 1 - C_R*f_t_prof/( 1 + xi * nu_star_e ) ) - + nu_star_e = ( + 1 + / 10.2e16 + * s.R + * q + * n_e_r + * np.exp(logLambda) + / (f_t_prof * invaspect * (T_e_r * 1e3) ** 2) + ) + eta_C_eta_NC_ratio = ( + Lambda_E + * (1 - f_t_prof / (1 + xi * nu_star_e)) + * (1 - C_R * f_t_prof / (1 + xi * nu_star_e)) + ) eta_NC = eta_C / eta_C_eta_NC_ratio if s.resistivity_alg == 0: return eta_NC - f_CL = (1+1.2*Zeffprof + 0.22*Zeffprof**2)/(1+3*Zeffprof + 0.75*Zeffprof**2) + f_CL = (1 + 1.2 * Zeffprof + 0.22 * Zeffprof**2) / ( + 1 + 3 * Zeffprof + 0.75 * Zeffprof**2 + ) - f_NC = 1/ ( 1- np.sqrt( 2*invaspect / (1 + invaspect) ) ) + f_NC = 1 / (1 - np.sqrt(2 * invaspect / (1 + invaspect))) eta_NC_2 = eta_C * f_CL * f_NC @@ -298,6 +420,7 @@ def eta_NC(s, rho, T_e_keV:float, n_e_20:float): else: raise ValueError("Invalid resistivity algorithm. Must be 0, 1, or 2.") + @nb.njit(cache=True) def Vloop(s, T_e_keV, n_e_20) -> float: """ @@ -306,7 +429,8 @@ def Vloop(s, T_e_keV, n_e_20) -> float: V_loop = P_ohmic / Ip """ P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) - return P_OH/s.Ip + return P_OH / s.Ip + @nb.njit(cache=True) def BetaN(s, T_i_keV, n_e_20) -> float: @@ -317,16 +441,21 @@ def BetaN(s, T_i_keV, n_e_20) -> float:

= int P dV / V (average pressure) beta_N = beta a B0 / (Ip) """ - P_avg = 1e6*volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20))/s.V - beta = 2*(4e-7*np.pi)*P_avg/(s.B0**2) - return beta*s.a*s.B0/s.Ip + P_avg = ( + 1e6 + * volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20)) + / s.V + ) + beta = 2 * (4e-7 * np.pi) * P_avg / (s.B0**2) + return beta * s.a * s.B0 / s.Ip + @nb.njit(cache=True) def tauE_scalinglaw(s, Pheat, n_e_20) -> float: """ User-chosen confinement time scaling law """ - tauE = s.H_fac*s.scaling_const + tauE = s.H_fac * s.scaling_const tauE *= s.M_i**s.M_i_alpha tauE *= s.Ip**s.Ip_alpha tauE *= s.R**s.R_alpha @@ -337,29 +466,31 @@ def tauE_scalinglaw(s, Pheat, n_e_20) -> float: tauE *= n_e_20**s.n20_alpha return tauE + @nb.njit(cache=True) def tauE_H98(s, Pheat, n_e_20) -> float: """ H98y2 scaling law for comparison """ tauE = 0.145 - #M_i**(0.19)*Ip**(0.93)*R**(1.39)*a**(0.58)*kappa**(0.78)*B0**(0.15)*Pheat**(-0.69)*n20**(0.41) + # M_i**(0.19)*Ip**(0.93)*R**(1.39)*a**(0.58)*kappa**(0.78)*B0**(0.15)*Pheat**(-0.69)*n20**(0.41) tauE *= s.M_i**0.19 tauE *= s.Ip**0.93 tauE *= s.R**1.39 tauE *= s.a**0.58 tauE *= s.kappa**0.78 tauE *= s.B0**0.15 - tauE *= Pheat**(-0.69) + tauE *= Pheat ** (-0.69) tauE *= n_e_20**0.41 return tauE + @nb.njit(cache=True) def tauE_H89(s, Pheat, n_e_20) -> float: """ H89 scaling law for comparison """ - #0.048*M_i**(0.5)*Ip**(0.85)*R**(1.2)*a**(0.3)*kappa**(0.5)*B0**(0.2)*Pheat**(-0.5)*n20**(0.1) + # 0.048*M_i**(0.5)*Ip**(0.85)*R**(1.2)*a**(0.3)*kappa**(0.5)*B0**(0.2)*Pheat**(-0.5)*n20**(0.1) tauE = 0.048 tauE *= s.M_i**0.5 tauE *= s.Ip**0.85 @@ -367,30 +498,33 @@ def tauE_H89(s, Pheat, n_e_20) -> float: tauE *= s.a**0.3 tauE *= s.kappa**0.5 tauE *= s.B0**0.2 - tauE *= Pheat**(-0.5) + tauE *= Pheat ** (-0.5) tauE *= n_e_20**0.1 return tauE -#------------------------------------------------------------------- + +# ------------------------------------------------------------------- # Power profiles -#------------------------------------------------------------------- +# ------------------------------------------------------------------- + @nb.njit(cache=True) -def _W_tot_prof(s, rho, T_i_keV:float, n_e_20:float): +def _W_tot_prof(s, rho, T_i_keV: float, n_e_20: float): """ Plasma energy per cubic meter; also pressure. """ - n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) - T_e_r = T_i_keV*get_profile(s, rho, 4)/s.tipeak_over_tepeak - dil = plasma_dilution(s, T_i_keV/s.tipeak_over_tepeak) - n_i_r = 1e20*n_e_20*get_profile(s, rho, 2)*dil - T_i_r = T_i_keV*get_profile(s, rho, 3) + n_e_r = 1e20 * n_e_20 * get_profile(s, rho, 1) + T_e_r = T_i_keV * get_profile(s, rho, 4) / s.tipeak_over_tepeak + dil = plasma_dilution(s, T_i_keV / s.tipeak_over_tepeak) + n_i_r = 1e20 * n_e_20 * get_profile(s, rho, 2) * dil + T_i_r = T_i_keV * get_profile(s, rho, 3) # W_density = 3/2 * n_i * T_i # = 3/2 * (n_i_r) ( 1.60218e-22 * T_i_r (keV) ) (MJ/m^3) - return 3/2 * 1.60218e-22 * (n_i_r * T_i_r + n_e_r * T_e_r) + return 3 / 2 * 1.60218e-22 * (n_i_r * T_i_r + n_e_r * T_e_r) + @nb.njit(cache=True) -def _P_DDpT_prof(s, rho, T_i_keV:float, n_i_20:float): +def _P_DDpT_prof(s, rho, T_i_keV: float, n_i_20: float): """ D(d,p)T power per cubic meter """ @@ -401,161 +535,193 @@ def _P_DDpT_prof(s, rho, T_i_keV:float, n_i_20:float): else: raise ValueError("Invalid fuel cycle.") - n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) - T_i_r = T_i_keV*get_profile(s, rho, 3) + n_i_r = 1e20 * n_i_20 * get_profile(s, rho, 2) + T_i_r = T_i_keV * get_profile(s, rho, 3) # reaction frequency f = n_D/sqrt(2) * n_D/sqrt(2) * (1/s) # 1.60218e-22 is the conversion factor from keV to MJ # is in cm^3/s so we need to convert to m^3/s, hence 1e-6 # P_DD_density = 1.60218e-22 * f(DD->pT) * (T_tritium + T_proton) (MW/m^3) - f_ddpt = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,2) * 1e-6 + f_ddpt = ( + np.power((dfrac * n_i_r / (np.sqrt(2))), 2) + * phys.get_reactivity(T_i_r, 2) + * 1e-6 + ) return 1.60218e-22 * f_ddpt * (1.01e3 + 3.02e3) + @nb.njit(cache=True) -def _P_DDnHe3_prof(s, rho, T_i_keV:float, n_i_20:float): +def _P_DDnHe3_prof(s, rho, T_i_keV: float, n_i_20: float): """ D(d,n)He3 power per cubic meter """ if s.fuel == 1: - dfrac = 1-np.sum(s.impurityfractions) + dfrac = 1 - np.sum(s.impurityfractions) elif s.fuel == 2: - dfrac = 0.5-np.sum(s.impurityfractions)/2 + dfrac = 0.5 - np.sum(s.impurityfractions) / 2 else: raise ValueError("Invalid fuel cycle.") - n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) - T_i_r = T_i_keV*get_profile(s, rho, 3) + n_i_r = 1e20 * n_i_20 * get_profile(s, rho, 2) + T_i_r = T_i_keV * get_profile(s, rho, 3) # See _P_DDpT_prof for explanation. # Note, for heating, only the He3 heats the plasma. For heating purposes, # multiply by 0.82e3/(2.45e3 + 0.82e3). - f_ddnhe3 = np.power( ( dfrac*n_i_r / (np.sqrt(2)) ), 2) * phys.get_reactivity(T_i_r,3) * 1e-6 + f_ddnhe3 = ( + np.power((dfrac * n_i_r / (np.sqrt(2))), 2) + * phys.get_reactivity(T_i_r, 3) + * 1e-6 + ) return 1.60218e-22 * f_ddnhe3 * (2.45e3 + 0.82e3) + @nb.njit(cache=True) -def _P_DTnHe4_prof(s, rho, T_i_keV:float, n_i_20:float): +def _P_DTnHe4_prof(s, rho, T_i_keV: float, n_i_20: float): """ T(d,n)He4 power density in MW/m^3 """ if s.fuel == 1: - dfrac = 1-np.sum(s.impurityfractions) + dfrac = 1 - np.sum(s.impurityfractions) tfrac = 0 elif s.fuel == 2: - dfrac = 0.5-np.sum(s.impurityfractions)/2 - tfrac = 0.5-np.sum(s.impurityfractions)/2 + dfrac = 0.5 - np.sum(s.impurityfractions) / 2 + tfrac = 0.5 - np.sum(s.impurityfractions) / 2 else: raise ValueError("Invalid fuel cycle.") - n_i_r = 1e20*n_i_20*get_profile(s, rho, 2) - T_i_r = T_i_keV*get_profile(s, rho, 3) + n_i_r = 1e20 * n_i_20 * get_profile(s, rho, 2) + T_i_r = T_i_keV * get_profile(s, rho, 3) # See _P_DDpT_prof for explanation. # Note, for heating, only the He4 / alpha heats the plasma. For heating purposes, # multiply by 3.52e3/(3.52e3 + 14.06e3). - f_dtnhe4 = dfrac*(n_i_r) * tfrac*(n_i_r) * phys.get_reactivity(T_i_r,1) * 1e-6 + f_dtnhe4 = dfrac * (n_i_r) * tfrac * (n_i_r) * phys.get_reactivity(T_i_r, 1) * 1e-6 return 1.60218e-22 * f_dtnhe4 * (3.52e3 + 14.06e3) + @nb.njit(cache=True) -def _P_fusion_heating(s, rho, T_i_keV:float, n_i_20:float): +def _P_fusion_heating(s, rho, T_i_keV: float, n_i_20: float): """ D-D and D-T heating power density in MW/m^3 """ - return _P_DDpT_prof(s, rho,T_i_keV,n_i_20) + \ - _P_DDnHe3_prof(s, rho,T_i_keV,n_i_20)*(0.82e3/(2.45e3+0.82e3))+\ - _P_DTnHe4_prof(s, rho,T_i_keV,n_i_20)*(3.52e3/(3.52e3+14.06e3)) + return ( + _P_DDpT_prof(s, rho, T_i_keV, n_i_20) + + _P_DDnHe3_prof(s, rho, T_i_keV, n_i_20) * (0.82e3 / (2.45e3 + 0.82e3)) + + _P_DTnHe4_prof(s, rho, T_i_keV, n_i_20) * (3.52e3 / (3.52e3 + 14.06e3)) + ) + @nb.njit(cache=True) -def _P_fusion(s, rho, T_i_keV:float, n_i_20:float): +def _P_fusion(s, rho, T_i_keV: float, n_i_20: float): """ Fusion power density in MW/m^3 """ - return _P_DDpT_prof(s, rho, T_i_keV, n_i_20) + \ - _P_DDnHe3_prof(s, rho,T_i_keV,n_i_20)+\ - _P_DTnHe4_prof(s, rho,T_i_keV,n_i_20) + return ( + _P_DDpT_prof(s, rho, T_i_keV, n_i_20) + + _P_DDnHe3_prof(s, rho, T_i_keV, n_i_20) + + _P_DTnHe4_prof(s, rho, T_i_keV, n_i_20) + ) + @nb.njit(cache=True) -def _P_brem_rad(s, rho, T_e_keV:float, n_e_20:float): +def _P_brem_rad(s, rho, T_e_keV: float, n_e_20: float): """ Radiative power density in MW/m^3; See formulary. """ - T_e_r = T_e_keV*get_profile(s, rho, 4) - n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + T_e_r = T_e_keV * get_profile(s, rho, 4) + n_e_r = 1e20 * n_e_20 * get_profile(s, rho, 1) - total_Zeff = np.empty(T_e_r.shape[0],dtype=np.float64) + total_Zeff = np.empty(T_e_r.shape[0], dtype=np.float64) for i in np.arange(T_e_r.shape[0]): total_Zeff[i] = Zeff(s, T_e_r[i]) - G = 1.1 # Gaunt factor + G = 1.1 # Gaunt factor # P_brem = 5.35e-3*1e-6*G*total_Zeff*(1e-20*n_e_r)**2*T_e_r**0.5 # From Plasma Formulary - P_brem = G*1e-6*np.sqrt(1000*T_e_r)*total_Zeff*(n_e_r/7.69e18)**2 + P_brem = G * 1e-6 * np.sqrt(1000 * T_e_r) * total_Zeff * (n_e_r / 7.69e18) ** 2 return P_brem + @nb.njit(cache=True) -def _P_synch(s, rho, T_e_keV:float, n_e_20:float): +def _P_synch(s, rho, T_e_keV: float, n_e_20: float): """ Synchrotron radiation power density in MW/m^3; see Zohm 2019. """ - T_e_r = T_e_keV*get_profile(s, rho, 4) - n_e_r = n_e_20*get_profile(s, rho, 1) - P_synch = 1.32e-7*(s.B0*T_e_r)**2.5 * np.sqrt(n_e_r/s.a) * (1 + 18*s.a/(s.R*np.sqrt(T_e_r))) + T_e_r = T_e_keV * get_profile(s, rho, 4) + n_e_r = n_e_20 * get_profile(s, rho, 1) + P_synch = ( + 1.32e-7 + * (s.B0 * T_e_r) ** 2.5 + * np.sqrt(n_e_r / s.a) + * (1 + 18 * s.a / (s.R * np.sqrt(T_e_r))) + ) return P_synch + @nb.njit(cache=True) -def _P_impurity_rad(s, rho, T_e_keV:float, n_e_20:float): +def _P_impurity_rad(s, rho, T_e_keV: float, n_e_20: float): """ Radiative power density from impurities in MW/m^3; see Zohm 2019. """ - T_e_r = T_e_keV*get_profile(s, rho, 4) - n_e_r = 1e20*n_e_20*get_profile(s, rho, 1) + T_e_r = T_e_keV * get_profile(s, rho, 4) + n_e_r = 1e20 * n_e_20 * get_profile(s, rho, 1) T_e_r[T_e_r < 0.05] = 0.05 - Lz = np.empty((T_e_r.shape[0],6),dtype=np.float64) + Lz = np.empty((T_e_r.shape[0], 6), dtype=np.float64) for i in np.arange(T_e_r.shape[0]): - Lz[i,:] = phys.get_rads(T_e_r[i]) + Lz[i, :] = phys.get_rads(T_e_r[i]) - P_line = np.sum(1e-6*(Lz.T*(n_e_r)**2).T*s.impurityfractions,axis=1) + P_line = np.sum(1e-6 * (Lz.T * (n_e_r) ** 2).T * s.impurityfractions, axis=1) return P_line + @nb.njit(cache=True) -def _P_rad(s, rho, T_e_keV:float, n_e_20:float): +def _P_rad(s, rho, T_e_keV: float, n_e_20: float): """ Total radiative power density in MW/m^3. """ - return _P_brem_rad(s, rho, T_e_keV, n_e_20) + _P_impurity_rad(s, rho, T_e_keV, n_e_20) + _P_synch(s, rho, T_e_keV, n_e_20) + return ( + _P_brem_rad(s, rho, T_e_keV, n_e_20) + + _P_impurity_rad(s, rho, T_e_keV, n_e_20) + + _P_synch(s, rho, T_e_keV, n_e_20) + ) + @nb.njit(cache=True) -def _P_OH_prof(s, rho, T_e_keV:float, n_e_20:float): +def _P_OH_prof(s, rho, T_e_keV: float, n_e_20: float): """ Ohmic power density in MW/m^3 """ eta_nc = eta_NC(s, rho, T_e_keV, n_e_20) - J = s.Itot*1e6*get_profile(s, rho, 0) - return 1e-6*eta_nc*J**2 + J = s.Itot * 1e6 * get_profile(s, rho, 0) + return 1e-6 * eta_nc * J**2 + @nb.njit(cache=True) -def Q_fusion(s, T_i_keV:float, n_e_20:float, Paux:float) -> float: +def Q_fusion(s, T_i_keV: float, n_e_20: float, Paux: float) -> float: """ Physical fusion gain factor. """ - T_e_keV = T_i_keV/s.tipeak_over_tepeak + T_e_keV = T_i_keV / s.tipeak_over_tepeak dil = plasma_dilution(s, T_e_keV) - n_i_20 = n_e_20*dil + n_i_20 = n_e_20 * dil P_fusion = volume_integral(s, s.sqrtpsin, _P_fusion(s, s.sqrtpsin, T_i_keV, n_i_20)) P_OH = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) - if Paux + P_OH <= 0.: - return 9999999. + if Paux + P_OH <= 0.0: + return 9999999.0 else: - return P_fusion/(Paux + P_OH) + return P_fusion / (Paux + P_OH) -#----------------------------------------------------------------------- +# ----------------------------------------------------------------------- # Power balance solver -#----------------------------------------------------------------------- +# ----------------------------------------------------------------------- + @nb.njit(cache=True) def P_aux_impfrac(s, n_e_20, T_i_keV): @@ -566,20 +732,26 @@ def P_aux_impfrac(s, n_e_20, T_i_keV): or INVALID_NAN. The caller reports these in aggregate; printing per point would be one line per grid cell, out of order under prange. """ - T_e_keV = T_i_keV/s.tipeak_over_tepeak + T_e_keV = T_i_keV / s.tipeak_over_tepeak dil = plasma_dilution(s, T_e_keV) - n_i_20 = n_e_20*dil + n_i_20 = n_e_20 * dil line_average_fac = np.average(get_profile(s, s.sqrtpsin, 1)) - P_fusion_heating = volume_integral(s, s.sqrtpsin, _P_fusion_heating(s, s.sqrtpsin, T_i_keV, n_i_20)) - P_ohmic_heating = volume_integral(s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_fusion_heating = volume_integral( + s, s.sqrtpsin, _P_fusion_heating(s, s.sqrtpsin, T_i_keV, n_i_20) + ) + P_ohmic_heating = volume_integral( + s, s.sqrtpsin, _P_OH_prof(s, s.sqrtpsin, T_e_keV, n_e_20) + ) W_tot = volume_integral(s, s.sqrtpsin, _W_tot_prof(s, s.sqrtpsin, T_i_keV, n_e_20)) P_brem = volume_integral(s, s.sqrtpsin, _P_brem_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) P_synch = volume_integral(s, s.sqrtpsin, _P_synch(s, s.sqrtpsin, T_e_keV, n_e_20)) - P_imp = volume_integral(s, s.sqrtpsin, _P_impurity_rad(s, s.sqrtpsin, T_e_keV, n_e_20)) + P_imp = volume_integral( + s, s.sqrtpsin, _P_impurity_rad(s, s.sqrtpsin, T_e_keV, n_e_20) + ) alpha = s.Pheat_alpha - K = tauE_scalinglaw(s, 1.0, n_e_20*line_average_fac) + K = tauE_scalinglaw(s, 1.0, n_e_20 * line_average_fac) # Balance P_heat = W_tot / tauE = (W_tot/K) * P_heat^(-alpha) - P_heat = (W_tot/K)**(1.0/(1.0+alpha)) + P_heat = (W_tot / K) ** (1.0 / (1.0 + alpha)) # P_heat = P_aux + P_OH + P_fusion_heating - P_brem - P_synch P_aux = P_heat - P_ohmic_heating - P_fusion_heating + P_brem + P_synch @@ -606,6 +778,7 @@ def P_aux_impfrac(s, n_e_20, T_i_keV): return P_aux, flag + # NOT jit compiled class POPCON_algorithms: """ @@ -659,124 +832,142 @@ class POPCON_algorithms: - _P_OH_prof(rho, T_e_keV, n_e_20): Ohmic power per cubic meter - Q_fusion(T_i_keV, n_e_20, Paux): Physical fusion gain factor """ + def __init__(self) -> None: - #--------------------------------------------------------------- + # --------------------------------------------------------------- # Machine parameters - #--------------------------------------------------------------- - - self.R: float # Major radius in meters - self.a: float # Minor radius in meters - self.kappa: float # Elongation - self.delta: float # Triangularity - self.B0: float # Magnetic field at axis in Tesla - self.Ip: float # Plasma current in MA - self.Itot: float # Total current in MA - self.M_i: float # Ion mass in amu - self.tipeak_over_tepeak: float # Ti/Te peak ratio - #*** 1 = D-D, 2 = D-T, 3 = D-He3 *** - self.fuel: int # Fuel cycle - - - #--------------------------------------------------------------- + # --------------------------------------------------------------- + + self.R: float # Major radius in meters + self.a: float # Minor radius in meters + self.kappa: float # Elongation + self.delta: float # Triangularity + self.B0: float # Magnetic field at axis in Tesla + self.Ip: float # Plasma current in MA + self.Itot: float # Total current in MA + self.M_i: float # Ion mass in amu + self.tipeak_over_tepeak: float # Ti/Te peak ratio + # *** 1 = D-D, 2 = D-T, 3 = D-He3 *** + self.fuel: int # Fuel cycle + + # --------------------------------------------------------------- # Geometry/profile parameters - #--------------------------------------------------------------- - self.sqrtpsin = np.empty(0, dtype=np.float64) # sqrt(psin) corresponding to profiles - self.volgrid = np.empty(0,dtype=np.float64) # Flux surface volumes - self.agrid = np.empty(0,dtype=np.float64) # Flux surface surface areas - self.nr: int # Number of radial points + # --------------------------------------------------------------- + self.sqrtpsin = np.empty( + 0, dtype=np.float64 + ) # sqrt(psin) corresponding to profiles + self.volgrid = np.empty(0, dtype=np.float64) # Flux surface volumes + self.agrid = np.empty(0, dtype=np.float64) # Flux surface surface areas + self.nr: int # Number of radial points # 0 = He, 1 = Ne, 2 = Ar, 3 = Kr, 4 = Xe, 5 = W - self.impurityfractions = np.empty(6, dtype=np.float64) # Impurity fractions for each impurity, relative to ion density - self.rdefined: bool = False # Whether radial grid is defined - self.volgriddefined: bool = False # Whether volume grid is defined - self.agriddefined: bool = False # Whether area grid is defined + self.impurityfractions = np.empty( + 6, dtype=np.float64 + ) # Impurity fractions for each impurity, relative to ion density + self.rdefined: bool = False # Whether radial grid is defined + self.volgriddefined: bool = False # Whether volume grid is defined + self.agriddefined: bool = False # Whether area grid is defined # Impurity profiles are not implemented yet - self.extprof_imps: bool = False # Whether impurity profiles are defined (not implemented) - self.impsdefined: bool = False # Whether impurity fractions are defined - - self._jdefined: bool = False # Whether J profile is defined - self._nedefined: bool = False # Whether ne profile is defined - self._nidefined: bool = False # Whether ni profile is defined - self._Tidefined: bool = False # Whether Ti profile is defined - self._Tedefined: bool = False # Whether Te profile is defined - self._qdefined: bool = False # Whether q profile is defined - self._ftrappeddefined: bool = False # Whether b_max profile is defined (not implemented) - self._extradefined: bool = False # Whether b_avg profile is defined (not implemented) - - #--------------------------------------------------------------- + self.extprof_imps: bool = ( + False # Whether impurity profiles are defined (not implemented) + ) + self.impsdefined: bool = False # Whether impurity fractions are defined + + self._jdefined: bool = False # Whether J profile is defined + self._nedefined: bool = False # Whether ne profile is defined + self._nidefined: bool = False # Whether ni profile is defined + self._Tidefined: bool = False # Whether Ti profile is defined + self._Tedefined: bool = False # Whether Te profile is defined + self._qdefined: bool = False # Whether q profile is defined + self._ftrappeddefined: bool = ( + False # Whether b_max profile is defined (not implemented) + ) + self._extradefined: bool = ( + False # Whether b_avg profile is defined (not implemented) + ) + + # --------------------------------------------------------------- # Parameters for parabolic profiles case - #--------------------------------------------------------------- + # --------------------------------------------------------------- """ Normalized parabolic profiles (or polynomial-like) are defined: f(rho) = (1 - offset) * (1 + rho^alpha1)^alpha2 + offset """ - self.j_alpha1: float = 2. - self.j_alpha2: float = 3. - self.j_offset: float = 0. + self.j_alpha1: float = 2.0 + self.j_alpha2: float = 3.0 + self.j_offset: float = 0.0 - self.ne_alpha1: float = 2. + self.ne_alpha1: float = 2.0 self.ne_alpha2: float = 1.5 self.ne_offset: float = 0.3 - self.ni_alpha1: float = 2. + self.ni_alpha1: float = 2.0 self.ni_alpha2: float = 1.5 self.ni_offset: float = 0.3 - self.Ti_alpha1: float = 2. + self.Ti_alpha1: float = 2.0 self.Ti_alpha2: float = 1.5 - self.Ti_offset: float = 0. + self.Ti_offset: float = 0.0 - self.Te_alpha1: float = 2. + self.Te_alpha1: float = 2.0 self.Te_alpha2: float = 1.5 - self.Te_offset: float = 0. + self.Te_offset: float = 0.0 - #--------------------------------------------------------------- + # --------------------------------------------------------------- # Profiles - #--------------------------------------------------------------- + # --------------------------------------------------------------- """ All profiles are defined as arrays of the same length as sqrtpsin, and **normalized**! """ - self.j_prof = np.empty(0,dtype=np.float64) # Current density profile - self.ne_prof = np.empty(0,dtype=np.float64) # Electron density profile - self.ni_prof = np.empty(0,dtype=np.float64) # Ion density profile - self.Te_prof = np.empty(0,dtype=np.float64) # Electron temperature profile - self.Ti_prof = np.empty(0,dtype=np.float64) # Ion temperature profile - self.q_prof = np.empty(0,dtype=np.float64) # Safety factor profile - self.ftrapped_prof = np.empty(0,dtype=np.float64) # Maximum B field on flux surface (not implemented) - self.extraprof = np.empty(0,dtype=np.float64) # Average B field on flux surface (not implemented) - self.extprof_impfracs = np.empty(0,dtype=np.float64) # Impurity fractions profile (not implemented) - - #--------------------------------------------------------------- + self.j_prof = np.empty(0, dtype=np.float64) # Current density profile + self.ne_prof = np.empty(0, dtype=np.float64) # Electron density profile + self.ni_prof = np.empty(0, dtype=np.float64) # Ion density profile + self.Te_prof = np.empty(0, dtype=np.float64) # Electron temperature profile + self.Ti_prof = np.empty(0, dtype=np.float64) # Ion temperature profile + self.q_prof = np.empty(0, dtype=np.float64) # Safety factor profile + self.ftrapped_prof = np.empty( + 0, dtype=np.float64 + ) # Maximum B field on flux surface (not implemented) + self.extraprof = np.empty( + 0, dtype=np.float64 + ) # Average B field on flux surface (not implemented) + self.extprof_impfracs = np.empty( + 0, dtype=np.float64 + ) # Impurity fractions profile (not implemented) + + # --------------------------------------------------------------- # Scaling law parameters - #--------------------------------------------------------------- - - self.H_fac: float = 1.0 # H (scaling law enhancement) factor - self.scaling_const: float = 0.145 # Scaling law coefficient - self.M_i_alpha: float = 0.19 # Ion mass scaling law exponent - self.Ip_alpha: float = 0.93 # Plasma current scaling law exponent - self.R_alpha: float = 1.39 # Major radius scaling law exponent - self.a_alpha: float = 0.58 # Minor radius scaling law exponent - self.kappa_alpha: float = 0.78 # Elongation scaling law exponent - self.B0_alpha: float = 0.15 # Toroidal field scaling law exponent - self.Pheat_alpha: float = -0.69 # Power degradation scaling law exponent - self.n20_alpha: float = 0.41 # Greenwald density scaling law exponent - - #--------------------------------------------------------------- + # --------------------------------------------------------------- + + self.H_fac: float = 1.0 # H (scaling law enhancement) factor + self.scaling_const: float = 0.145 # Scaling law coefficient + self.M_i_alpha: float = 0.19 # Ion mass scaling law exponent + self.Ip_alpha: float = 0.93 # Plasma current scaling law exponent + self.R_alpha: float = 1.39 # Major radius scaling law exponent + self.a_alpha: float = 0.58 # Minor radius scaling law exponent + self.kappa_alpha: float = 0.78 # Elongation scaling law exponent + self.B0_alpha: float = 0.15 # Toroidal field scaling law exponent + self.Pheat_alpha: float = -0.69 # Power degradation scaling law exponent + self.n20_alpha: float = 0.41 # Greenwald density scaling law exponent + + # --------------------------------------------------------------- # Etc - #--------------------------------------------------------------- - self.resistivity_alg: int = 0 # Resistivity algorithm. 0 = Jardin, 1 = Paz-Soldan, 2 = local maximum - self.verbosity: int = 0 # Verbosity level. 0 = silent, 1 = normal, 2 = debug, 3 = print all matrices + # --------------------------------------------------------------- + self.resistivity_alg: int = ( + 0 # Resistivity algorithm. 0 = Jardin, 1 = Paz-Soldan, 2 = local maximum + ) + self.verbosity: int = 0 # Verbosity level. 0 = silent, 1 = normal, 2 = debug, 3 = print all matrices - self.state = None # Set by build_state after setup + self.state = None # Set by build_state after setup pass - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # State - #------------------------------------------------------------------- + # ------------------------------------------------------------------- def build_state(self) -> State: """ @@ -785,36 +976,72 @@ def build_state(self) -> State: signature stays the same between sessions; the compile cache keys on it. """ + def arr(x): return np.ascontiguousarray(x, dtype=np.float64) + s = State( - R=np.float64(self.R), a=np.float64(self.a), kappa=np.float64(self.kappa), - delta=np.float64(self.delta), B0=np.float64(self.B0), Ip=np.float64(self.Ip), - Itot=np.float64(self.Itot), M_i=np.float64(self.M_i), + R=np.float64(self.R), + a=np.float64(self.a), + kappa=np.float64(self.kappa), + delta=np.float64(self.delta), + B0=np.float64(self.B0), + Ip=np.float64(self.Ip), + Itot=np.float64(self.Itot), + M_i=np.float64(self.M_i), tipeak_over_tepeak=np.float64(self.tipeak_over_tepeak), - fuel=int(self.fuel), nr=int(self.nr), - sqrtpsin=arr(self.sqrtpsin), volgrid=arr(self.volgrid), agrid=arr(self.agrid), + fuel=int(self.fuel), + nr=int(self.nr), + sqrtpsin=arr(self.sqrtpsin), + volgrid=arr(self.volgrid), + agrid=arr(self.agrid), impurityfractions=arr(self.impurityfractions), - rdefined=bool(self.rdefined), volgriddefined=bool(self.volgriddefined), + rdefined=bool(self.rdefined), + volgriddefined=bool(self.volgriddefined), agriddefined=bool(self.agriddefined), - jdefined=bool(self._jdefined), nedefined=bool(self._nedefined), - nidefined=bool(self._nidefined), Tidefined=bool(self._Tidefined), - Tedefined=bool(self._Tedefined), qdefined=bool(self._qdefined), - ftrappeddefined=bool(self._ftrappeddefined), extradefined=bool(self._extradefined), - j_alpha1=np.float64(self.j_alpha1), j_alpha2=np.float64(self.j_alpha2), j_offset=np.float64(self.j_offset), - ne_alpha1=np.float64(self.ne_alpha1), ne_alpha2=np.float64(self.ne_alpha2), ne_offset=np.float64(self.ne_offset), - ni_alpha1=np.float64(self.ni_alpha1), ni_alpha2=np.float64(self.ni_alpha2), ni_offset=np.float64(self.ni_offset), - Ti_alpha1=np.float64(self.Ti_alpha1), Ti_alpha2=np.float64(self.Ti_alpha2), Ti_offset=np.float64(self.Ti_offset), - Te_alpha1=np.float64(self.Te_alpha1), Te_alpha2=np.float64(self.Te_alpha2), Te_offset=np.float64(self.Te_offset), - j_prof=arr(self.j_prof), ne_prof=arr(self.ne_prof), ni_prof=arr(self.ni_prof), - Te_prof=arr(self.Te_prof), Ti_prof=arr(self.Ti_prof), q_prof=arr(self.q_prof), - ftrapped_prof=arr(self.ftrapped_prof), extraprof=arr(self.extraprof), - H_fac=np.float64(self.H_fac), scaling_const=np.float64(self.scaling_const), - M_i_alpha=np.float64(self.M_i_alpha), Ip_alpha=np.float64(self.Ip_alpha), - R_alpha=np.float64(self.R_alpha), a_alpha=np.float64(self.a_alpha), - kappa_alpha=np.float64(self.kappa_alpha), B0_alpha=np.float64(self.B0_alpha), - Pheat_alpha=np.float64(self.Pheat_alpha), n20_alpha=np.float64(self.n20_alpha), - resistivity_alg=int(self.resistivity_alg), verbosity=int(self.verbosity), + jdefined=bool(self._jdefined), + nedefined=bool(self._nedefined), + nidefined=bool(self._nidefined), + Tidefined=bool(self._Tidefined), + Tedefined=bool(self._Tedefined), + qdefined=bool(self._qdefined), + ftrappeddefined=bool(self._ftrappeddefined), + extradefined=bool(self._extradefined), + j_alpha1=np.float64(self.j_alpha1), + j_alpha2=np.float64(self.j_alpha2), + j_offset=np.float64(self.j_offset), + ne_alpha1=np.float64(self.ne_alpha1), + ne_alpha2=np.float64(self.ne_alpha2), + ne_offset=np.float64(self.ne_offset), + ni_alpha1=np.float64(self.ni_alpha1), + ni_alpha2=np.float64(self.ni_alpha2), + ni_offset=np.float64(self.ni_offset), + Ti_alpha1=np.float64(self.Ti_alpha1), + Ti_alpha2=np.float64(self.Ti_alpha2), + Ti_offset=np.float64(self.Ti_offset), + Te_alpha1=np.float64(self.Te_alpha1), + Te_alpha2=np.float64(self.Te_alpha2), + Te_offset=np.float64(self.Te_offset), + j_prof=arr(self.j_prof), + ne_prof=arr(self.ne_prof), + ni_prof=arr(self.ni_prof), + Te_prof=arr(self.Te_prof), + Ti_prof=arr(self.Ti_prof), + q_prof=arr(self.q_prof), + ftrapped_prof=arr(self.ftrapped_prof), + extraprof=arr(self.extraprof), + H_fac=np.float64(self.H_fac), + scaling_const=np.float64(self.scaling_const), + M_i_alpha=np.float64(self.M_i_alpha), + Ip_alpha=np.float64(self.Ip_alpha), + R_alpha=np.float64(self.R_alpha), + a_alpha=np.float64(self.a_alpha), + kappa_alpha=np.float64(self.kappa_alpha), + B0_alpha=np.float64(self.B0_alpha), + Pheat_alpha=np.float64(self.Pheat_alpha), + n20_alpha=np.float64(self.n20_alpha), + resistivity_alg=int(self.resistivity_alg), + verbosity=int(self.verbosity), V=np.float64(0.0), ) # V through the same jit compiled path as before @@ -822,16 +1049,16 @@ def arr(x): self.state = s._replace(V=np.float64(v)) return self.state - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # Properties - #------------------------------------------------------------------- + # ------------------------------------------------------------------- @property def n_GR(self): """ Greenwald density in 10^20/m^3 """ - return self.Ip/(np.pi*self.a**2) + return self.Ip / (np.pi * self.a**2) @property def V(self): @@ -847,11 +1074,11 @@ def A(self): """ return self.agrid[-1] - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # Calls to the jit compiled functions above - #------------------------------------------------------------------- + # ------------------------------------------------------------------- - def get_profile(self, rho, profid:int): + def get_profile(self, rho, profid: int): return get_profile(self.state, rho, profid) def volume_integral(self, rho, func) -> float: @@ -920,9 +1147,9 @@ def Q_fusion(self, T_i_keV, n_e_20, Paux) -> float: def P_aux_impfrac(self, n_e_20, T_i_keV): return P_aux_impfrac(self.state, n_e_20, T_i_keV)[0] - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # Setup functions - #------------------------------------------------------------------- + # ------------------------------------------------------------------- def _addextprof(self, extprofvals, profid): """ @@ -981,14 +1208,13 @@ def _addextprof(self, extprofvals, profid): self._ftrappeddefined = True elif profid == 7: if self._extradefined: - raise ValueError("extra profile already defined." + \ - " This is unused.") + raise ValueError("extra profile already defined." + " This is unused.") self.extraprof = extprofvals self._extradefined = True else: raise ValueError("Invalid profile ID.") - def _set_alpha_and_offset(self, alpha1, alpha2, offset, profid:int): + def _set_alpha_and_offset(self, alpha1, alpha2, offset, profid: int): """ If the profile is not externally defined, this function sets the parabolic profile parameters. @@ -1039,42 +1265,74 @@ def _setup_profs(self) -> None: if not self.rdefined: raise ValueError("Geometry profile not defined.") if not self.agriddefined: - w07 = 1. - Lp = 2*np.pi*self.a*(1+0.55*(self.kappa - 1))*(1+0.08*self.delta**2)*(1+0.2*(w07-1)) - epsilon = rho*self.a/self.R - self.agrid = 2*np.pi*self.R*(1-0.32*self.delta*epsilon)*Lp # Sauter eqs 36 + w07 = 1.0 + Lp = ( + 2 + * np.pi + * self.a + * (1 + 0.55 * (self.kappa - 1)) + * (1 + 0.08 * self.delta**2) + * (1 + 0.2 * (w07 - 1)) + ) + epsilon = rho * self.a / self.R + self.agrid = ( + 2 * np.pi * self.R * (1 - 0.32 * self.delta * epsilon) * Lp + ) # Sauter eqs 36 if not self.volgriddefined: - epsilon = rho*self.a/self.R + epsilon = rho * self.a / self.R w07 = 1.0 - S_phi = np.pi*((rho*self.a)**2)*self.kappa*(1+0.52*(w07-1)) - self.volgrid = 2*np.pi*self.R*(1-0.25*self.delta*epsilon)*S_phi # Sauter eqs 36 + S_phi = np.pi * ((rho * self.a) ** 2) * self.kappa * (1 + 0.52 * (w07 - 1)) + self.volgrid = ( + 2 * np.pi * self.R * (1 - 0.25 * self.delta * epsilon) * S_phi + ) # Sauter eqs 36 self.volgriddefined = True if not self._jdefined: - self.j_prof = (1-self.j_offset)*(1-rho**self.j_alpha1)**self.j_alpha2 + self.j_offset + self.j_prof = (1 - self.j_offset) * ( + 1 - rho**self.j_alpha1 + ) ** self.j_alpha2 + self.j_offset self._jdefined = True if not self._nedefined: - self.ne_prof = (1-self.ne_offset)*(1-rho**self.ne_alpha1)**self.ne_alpha2 + self.ne_offset + self.ne_prof = (1 - self.ne_offset) * ( + 1 - rho**self.ne_alpha1 + ) ** self.ne_alpha2 + self.ne_offset self._nedefined = True if not self._nidefined: - self.ni_prof = (1-self.ni_offset)*(1-rho**self.ni_alpha1)**self.ni_alpha2 + self.ni_offset + self.ni_prof = (1 - self.ni_offset) * ( + 1 - rho**self.ni_alpha1 + ) ** self.ni_alpha2 + self.ni_offset self._nidefined = True if not self._Tidefined: - self.Ti_prof = (1-self.Ti_offset)*(1-rho**self.Ti_alpha1)**self.Ti_alpha2 + self.Ti_offset + self.Ti_prof = (1 - self.Ti_offset) * ( + 1 - rho**self.Ti_alpha1 + ) ** self.Ti_alpha2 + self.Ti_offset self._Tidefined = True if not self._Tedefined: - self.Te_prof = (1-self.Te_offset)*(1-rho**self.Te_alpha1)**self.Te_alpha2 + self.Te_offset + self.Te_prof = (1 - self.Te_offset) * ( + 1 - rho**self.Te_alpha1 + ) ** self.Te_alpha2 + self.Te_offset self._Tedefined = True if not self._qdefined: # self.q_a = 2*np.pi*self.a**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) - self.q_prof = 2*np.pi*(self.a*rho)**2*self.B0*(self.kappa**2+1)/(2*self.R*(4e-7*np.pi)*self.Ip*1e6) + self.q_prof = ( + 2 + * np.pi + * (self.a * rho) ** 2 + * self.B0 + * (self.kappa**2 + 1) + / (2 * self.R * (4e-7 * np.pi) * self.Ip * 1e6) + ) self._qdefined = True # profile 6 is the trapped particle fraction; eta_NC falls back to # f_t = sqrt(2*rho*a/R) on its own, so no need to fill it if not self._extradefined: - self.extraprof = np.sqrt((self.B0)**2 + ((4e-7*np.pi)*self.Ip*1e6/(2*np.pi*self.a*rho))**2) + self.extraprof = np.sqrt( + (self.B0) ** 2 + + ((4e-7 * np.pi) * self.Ip * 1e6 / (2 * np.pi * self.a * rho)) ** 2 + ) self._extradefined = True pass + # NOT jit compiled class POPCON_settings: """ @@ -1084,9 +1342,11 @@ class POPCON_settings: Uses safe_get where appropriate to allow for missing keys in an outdated settings file. When applicable, sets to the default value. """ - def __init__(self, - filename: str, - ) -> None: + + def __init__( + self, + filename: str, + ) -> None: self.read(filename) pass @@ -1097,7 +1357,7 @@ def _resolve(self, path: str) -> str: alone, as are absolute paths, so that read_output can hand back absolute paths without them being mangled. """ - if path == '' or os.path.isabs(path): + if path == "" or os.path.isabs(path): return path return os.path.normpath(os.path.join(self.settingsdir, path)) @@ -1105,177 +1365,251 @@ def read(self, filename: str) -> None: """ Reads a YAML file and sets the settings. """ - if filename.endswith('.yaml') or filename.endswith('.yml'): - with open(filename, 'r') as f: + if filename.endswith(".yaml") or filename.endswith(".yml"): + with open(filename, "r") as f: data = yaml.safe_load(f) else: - raise ValueError('Filename must end with .yaml or .yml') + raise ValueError("Filename must end with .yaml or .yml") self.settingsfile = os.path.abspath(filename) self.settingsdir = os.path.dirname(self.settingsfile) self.rawkeys = set(data.keys()) try: - #----------------------------------------------------------- + # ----------------------------------------------------------- # Params - #----------------------------------------------------------- - self.name = str(data['name']) - self.R = float(data['R']) - self.a = float(data['a']) - self.kappa = float(data['kappa']) - self.delta = float(data['delta']) + # ----------------------------------------------------------- + self.name = str(data["name"]) + self.R = float(data["R"]) + self.a = float(data["a"]) + self.kappa = float(data["kappa"]) + self.delta = float(data["delta"]) # Ip optional # B0 optional - if 'B_0' in data: - self.B0 = float(data['B_0']) - elif 'B_coil' in data and 'wall_thickness' in data: - self.B0 = phys.get_B0(data['B_coil'], data['wall_thickness'], self.R, self.a) + if "B_0" in data: + self.B0 = float(data["B_0"]) + elif "B_coil" in data and "wall_thickness" in data: + self.B0 = phys.get_B0( + data["B_coil"], data["wall_thickness"], self.R, self.a + ) print(f"B0 = {self.B0} calculated from B_coil and wall_thickness.") else: - raise KeyError('B0 or B_coil and wall_thickness not found in settings file.') - - if 'I_P' in data: - self.Ip = float(data['I_P']) - elif 'qstar' in data: - self.Ip = phys.get_Ip(data['qstar'], self.R, self.a, self.B0, self.kappa) + raise KeyError( + "B0 or B_coil and wall_thickness not found in settings file." + ) + + if "I_P" in data: + self.Ip = float(data["I_P"]) + elif "qstar" in data: + self.Ip = phys.get_Ip( + data["qstar"], self.R, self.a, self.B0, self.kappa + ) print(f"Ip = {self.Ip} calculated from qstar.") else: - raise KeyError('I_P or qstar not found in settings file.') - self.tipeak_over_tepeak = float(data['tipeak_over_tepeak']) - self.fuel = int(data['fuel']) + raise KeyError("I_P or qstar not found in settings file.") + self.tipeak_over_tepeak = float(data["tipeak_over_tepeak"]) + self.fuel = int(data["fuel"]) if self.fuel == 3: - raise ValueError("D-He3 fuel cycle not implemented yet. Please use D-D or D-T.") - self.impurityfractions = np.array(data['impurityfractions'], dtype=np.float64) + raise ValueError( + "D-He3 fuel cycle not implemented yet. Please use D-D or D-T." + ) + self.impurityfractions = np.array( + data["impurityfractions"], dtype=np.float64 + ) if self.impurityfractions.shape != (6,): - raise ValueError(f"impurityfractions must have 6 entries " - f"(He, Ne, Ar, Kr, Xe, W), got {self.impurityfractions.size}.") - if 'Zeff_target' in data and 'impurity' in data: - impurity = int(data['impurity']) + raise ValueError( + f"impurityfractions must have 6 entries " + f"(He, Ne, Ar, Kr, Xe, W), got {self.impurityfractions.size}." + ) + if "Zeff_target" in data and "impurity" in data: + impurity = int(data["impurity"]) if not 0 <= impurity <= 5: - raise ValueError(f"impurity must be 0-5 " - f"(0 He, 1 Ne, 2 Ar, 3 Kr, 4 Xe, 5 W), got {impurity}.") - self.impurityfractions[impurity] = phys.get_impurity_fraction(data['Zeff_target'], self.impurityfractions[0], impurity, (float(data['Tmax_keV'])-float(data['Tmin_keV']))/2+float(data['Tmin_keV'])) - print(f"Impurity fractions = {self.impurityfractions} calculated from Zeff_target.") + raise ValueError( + f"impurity must be 0-5 " + f"(0 He, 1 Ne, 2 Ar, 3 Kr, 4 Xe, 5 W), got {impurity}." + ) + self.impurityfractions[impurity] = phys.get_impurity_fraction( + data["Zeff_target"], + self.impurityfractions[0], + impurity, + (float(data["Tmax_keV"]) - float(data["Tmin_keV"])) / 2 + + float(data["Tmin_keV"]), + ) + print( + f"Impurity fractions = {self.impurityfractions} calculated from Zeff_target." + ) if self.fuel == 1: - f_D = 1-np.sum(self.impurityfractions) + f_D = 1 - np.sum(self.impurityfractions) f_T = 0 elif self.fuel == 2: - f_D = 0.5-np.sum(self.impurityfractions)/2 - f_T = 0.5-np.sum(self.impurityfractions)/2 + f_D = 0.5 - np.sum(self.impurityfractions) / 2 + f_T = 0.5 - np.sum(self.impurityfractions) / 2 else: raise ValueError("Invalid fuel cycle.") - - self.M_i = f_D * 2.014 + f_T * 3.016 + np.dot(self.impurityfractions, np.array([4.002, 20.18, 39.948, 83.80, 131.29, 183.84])) + self.M_i = ( + f_D * 2.014 + + f_T * 3.016 + + np.dot( + self.impurityfractions, + np.array([4.002, 20.18, 39.948, 83.80, 131.29, 183.84]), + ) + ) - self.scalinglaw = str(data['scalinglaw']) - self.H_fac = float(data['H_fac']) - self.nr = int(data['nr']) + self.scalinglaw = str(data["scalinglaw"]) + self.H_fac = float(data["H_fac"]) + self.nr = int(data["nr"]) - self.gfilename = self._resolve(str(safe_get(data,'gfilename',''))) - self.profsfilename = self._resolve(str(safe_get(data,'profsfilename',''))) + self.gfilename = self._resolve(str(safe_get(data, "gfilename", ""))) + self.profsfilename = self._resolve(str(safe_get(data, "profsfilename", ""))) - self.j_alpha1 = float(safe_get(data,'j_alpha1',1)) - self.j_alpha2 = float(safe_get(data,'j_alpha2',2)) - self.j_offset = float(safe_get(data,'j_offset',0)) + self.j_alpha1 = float(safe_get(data, "j_alpha1", 1)) + self.j_alpha2 = float(safe_get(data, "j_alpha2", 2)) + self.j_offset = float(safe_get(data, "j_offset", 0)) - self.ne_alpha1 = float(safe_get(data,'ne_alpha1',2)) - self.ne_alpha2 = float(safe_get(data,'ne_alpha2',1.5)) - self.ne_offset = float(safe_get(data,'ne_offset',0)) + self.ne_alpha1 = float(safe_get(data, "ne_alpha1", 2)) + self.ne_alpha2 = float(safe_get(data, "ne_alpha2", 1.5)) + self.ne_offset = float(safe_get(data, "ne_offset", 0)) - self.ni_alpha1 = float(safe_get(data,'ni_alpha1',2)) - self.ni_alpha2 = float(safe_get(data,'ni_alpha2',1.5)) - self.ni_offset = float(safe_get(data,'ni_offset',0)) + self.ni_alpha1 = float(safe_get(data, "ni_alpha1", 2)) + self.ni_alpha2 = float(safe_get(data, "ni_alpha2", 1.5)) + self.ni_offset = float(safe_get(data, "ni_offset", 0)) - self.Ti_alpha1 = float(safe_get(data,'Ti_alpha1',2)) - self.Ti_alpha2 = float(safe_get(data,'Ti_alpha2',1.5)) - self.Ti_offset = float(safe_get(data,'Ti_offset',0)) + self.Ti_alpha1 = float(safe_get(data, "Ti_alpha1", 2)) + self.Ti_alpha2 = float(safe_get(data, "Ti_alpha2", 1.5)) + self.Ti_offset = float(safe_get(data, "Ti_offset", 0)) - self.Te_alpha1 = float(safe_get(data,'Te_alpha1',2)) - self.Te_alpha2 = float(safe_get(data,'Te_alpha2',1.5)) - self.Te_offset = float(safe_get(data,'Te_offset',0)) + self.Te_alpha1 = float(safe_get(data, "Te_alpha1", 2)) + self.Te_alpha2 = float(safe_get(data, "Te_alpha2", 1.5)) + self.Te_offset = float(safe_get(data, "Te_offset", 0)) - #----------------------------------------------------------- + # ----------------------------------------------------------- # Settings - #----------------------------------------------------------- - self.Nn = int(data['Nn']) - self.NTi = int(data['NTi']) - self.nmax_frac = float(data['nmax_frac']) - self.nmin_frac = float(data['nmin_frac']) - self.Tmax_keV = float(data['Tmax_keV']) - self.Tmin_keV = float(data['Tmin_keV']) - self.resistivity_model = str(safe_get(data,'resistivity_model','jardin')).lower() - self.verbosity = int(data['verbosity']) - self.parallel = bool(data['parallel']) + # ----------------------------------------------------------- + self.Nn = int(data["Nn"]) + self.NTi = int(data["NTi"]) + self.nmax_frac = float(data["nmax_frac"]) + self.nmin_frac = float(data["nmin_frac"]) + self.Tmax_keV = float(data["Tmax_keV"]) + self.Tmin_keV = float(data["Tmin_keV"]) + self.resistivity_model = str( + safe_get(data, "resistivity_model", "jardin") + ).lower() + self.verbosity = int(data["verbosity"]) + self.parallel = bool(data["parallel"]) except KeyError as e: - raise KeyError(f'Key {e} not found in {filename}') + raise KeyError(f"Key {e} not found in {filename}") POPCON_data_spec = [ - ('n_G_frac', nb.float64[:]), - ('n_e_20_max', nb.float64[:]), - ('n_e_20_avg', nb.float64[:]), - ('n_i_20_max', nb.float64[:,:]), - ('n_i_20_avg', nb.float64[:,:]), - ('T_i_max', nb.float64[:]), - ('T_i_avg', nb.float64[:]), - ('T_e_max', nb.float64[:]), - ('T_e_avg', nb.float64[:]), - ('Paux', nb.float64[:,:]), - ('Pfusion', nb.float64[:,:]), - ('Pfusionheating', nb.float64[:,:]), - ('Pohmic', nb.float64[:,:]), - ('Pbrems', nb.float64[:,:]), - ('Psynch', nb.float64[:,:]), - ('Pimprad', nb.float64[:,:]), - ('Prad', nb.float64[:,:]), - ('Pheat', nb.float64[:,:]), - ('Wtot', nb.float64[:,:]), - ('tauE', nb.float64[:,:]), - ('Pconf', nb.float64[:,:]), - ('Ploss', nb.float64[:,:]), - ('Pdd', nb.float64[:,:]), - ('Pdt', nb.float64[:,:]), - ('Palpha', nb.float64[:,:]), - ('Psol', nb.float64[:,:]), - ('f_rad', nb.float64[:,:]), - ('Q', nb.float64[:,:]), - ('H89', nb.float64[:,:]), - ('H98', nb.float64[:,:]), - ('vloop', nb.float64[:,:]), - ('betaN', nb.float64[:,:]) + ("n_G_frac", nb.float64[:]), + ("n_e_20_max", nb.float64[:]), + ("n_e_20_avg", nb.float64[:]), + ("n_i_20_max", nb.float64[:, :]), + ("n_i_20_avg", nb.float64[:, :]), + ("T_i_max", nb.float64[:]), + ("T_i_avg", nb.float64[:]), + ("T_e_max", nb.float64[:]), + ("T_e_avg", nb.float64[:]), + ("Paux", nb.float64[:, :]), + ("Pfusion", nb.float64[:, :]), + ("Pfusionheating", nb.float64[:, :]), + ("Pohmic", nb.float64[:, :]), + ("Pbrems", nb.float64[:, :]), + ("Psynch", nb.float64[:, :]), + ("Pimprad", nb.float64[:, :]), + ("Prad", nb.float64[:, :]), + ("Pheat", nb.float64[:, :]), + ("Wtot", nb.float64[:, :]), + ("tauE", nb.float64[:, :]), + ("Pconf", nb.float64[:, :]), + ("Ploss", nb.float64[:, :]), + ("Pdd", nb.float64[:, :]), + ("Pdt", nb.float64[:, :]), + ("Palpha", nb.float64[:, :]), + ("Psol", nb.float64[:, :]), + ("f_rad", nb.float64[:, :]), + ("Q", nb.float64[:, :]), + ("H89", nb.float64[:, :]), + ("H98", nb.float64[:, :]), + ("vloop", nb.float64[:, :]), + ("betaN", nb.float64[:, :]), ] # What populate_outputs returns; POPCON_data_spec minus the 1-D axes and Paux, # which are inputs. They have to be returned: with parallel=True, a prange # write through a namedtuple field never reaches the caller COMPUTED_FIELDS = [ - 'n_i_20_max', 'n_i_20_avg', 'Pfusion', 'Pfusionheating', 'Pohmic', - 'Pbrems', 'Psynch', 'Pimprad', 'Prad', 'Pheat', 'Wtot', 'tauE', - 'Pconf', 'Ploss', 'Pdd', 'Pdt', 'Palpha', 'Psol', 'f_rad', 'Q', - 'H89', 'H98', 'vloop', 'betaN', + "n_i_20_max", + "n_i_20_avg", + "Pfusion", + "Pfusionheating", + "Pohmic", + "Pbrems", + "Psynch", + "Pimprad", + "Prad", + "Pheat", + "Wtot", + "tauE", + "Pconf", + "Ploss", + "Pdd", + "Pdt", + "Palpha", + "Psol", + "f_rad", + "Q", + "H89", + "H98", + "vloop", + "betaN", ] -ComputedOutputs = namedtuple('ComputedOutputs', COMPUTED_FIELDS) +ComputedOutputs = namedtuple("ComputedOutputs", COMPUTED_FIELDS) # Output is an xarray Dataset over these two dimensions. The seven 1-D arrays # are the different ways of labelling the two axes, so they are all coordinates; # everything else is 2-D. The dimensions are not called 'n'/'T' because Dataset.T # is transpose. -DIM_N, DIM_T = 'n_index', 'T_index' -AXES_N = ('n_G_frac', 'n_e_20_max', 'n_e_20_avg') -AXES_T = ('T_i_max', 'T_i_avg', 'T_e_max', 'T_e_avg') +DIM_N, DIM_T = "n_index", "T_index" +AXES_N = ("n_G_frac", "n_e_20_max", "n_e_20_avg") +AXES_T = ("T_i_max", "T_i_avg", "T_e_max", "T_e_avg") UNITS = { - 'n_G_frac': '', 'n_e_20_max': '1e20 m^-3', 'n_e_20_avg': '1e20 m^-3', - 'n_i_20_max': '1e20 m^-3', 'n_i_20_avg': '1e20 m^-3', - 'T_i_max': 'keV', 'T_i_avg': 'keV', 'T_e_max': 'keV', 'T_e_avg': 'keV', - 'Paux': 'MW', 'Pfusion': 'MW', 'Pfusionheating': 'MW', 'Pohmic': 'MW', - 'Pbrems': 'MW', 'Psynch': 'MW', 'Pimprad': 'MW', 'Prad': 'MW', - 'Pheat': 'MW', 'Pconf': 'MW', 'Ploss': 'MW', 'Pdd': 'MW', 'Pdt': 'MW', - 'Palpha': 'MW', 'Psol': 'MW', 'Wtot': 'MJ', 'tauE': 's', - 'f_rad': '', 'Q': '', 'H89': '', 'H98': '', 'vloop': 'V', 'betaN': '', + "n_G_frac": "", + "n_e_20_max": "1e20 m^-3", + "n_e_20_avg": "1e20 m^-3", + "n_i_20_max": "1e20 m^-3", + "n_i_20_avg": "1e20 m^-3", + "T_i_max": "keV", + "T_i_avg": "keV", + "T_e_max": "keV", + "T_e_avg": "keV", + "Paux": "MW", + "Pfusion": "MW", + "Pfusionheating": "MW", + "Pohmic": "MW", + "Pbrems": "MW", + "Psynch": "MW", + "Pimprad": "MW", + "Prad": "MW", + "Pheat": "MW", + "Pconf": "MW", + "Ploss": "MW", + "Pdd": "MW", + "Pdt": "MW", + "Palpha": "MW", + "Psol": "MW", + "Wtot": "MJ", + "tauE": "s", + "f_rad": "", + "Q": "", + "H89": "", + "H98": "", + "vloop": "V", + "betaN": "", } @@ -1292,28 +1626,33 @@ def build_dataset(grids: dict, settings=None, scalinglaws=None): for name in AXES_T: coords[name] = (DIM_T, np.asarray(grids[name])) - data_vars = {name: ((DIM_N, DIM_T), np.asarray(arr)) - for name, arr in grids.items() - if name not in AXES_N and name not in AXES_T} + data_vars = { + name: ((DIM_N, DIM_T), np.asarray(arr)) + for name, arr in grids.items() + if name not in AXES_N and name not in AXES_T + } ds = xr.Dataset(data_vars=data_vars, coords=coords) for name, var in list(ds.variables.items()): if name in UNITS and UNITS[name]: - var.attrs['units'] = UNITS[name] - ds['Paux'].attrs['note'] = ( - f'{UNPHYSICAL} marks a point with no physical solution') + var.attrs["units"] = UNITS[name] + ds["Paux"].attrs["note"] = f"{UNPHYSICAL} marks a point with no physical solution" if settings is not None: - ds.attrs['machine'] = str(getattr(settings, 'name', '')) - ds.attrs['settings'] = json.dumps( - {k: (v.tolist() if isinstance(v, np.ndarray) else v) - for k, v in vars(settings).items() - if isinstance(v, (int, float, str, bool, np.ndarray))}) + ds.attrs["machine"] = str(getattr(settings, "name", "")) + ds.attrs["settings"] = json.dumps( + { + k: (v.tolist() if isinstance(v, np.ndarray) else v) + for k, v in vars(settings).items() + if isinstance(v, (int, float, str, bool, np.ndarray)) + } + ) if scalinglaws is not None: - ds.attrs['scalinglaws'] = json.dumps(scalinglaws) - ds.attrs['openpopcon_version'] = __version__ + ds.attrs["scalinglaws"] = json.dumps(scalinglaws) + ds.attrs["openpopcon_version"] = __version__ return ds + # NOT jit compiled class POPCON_plotsettings: """ @@ -1323,14 +1662,16 @@ class POPCON_plotsettings: Uses safe_get where appropriate to allow for missing keys in an outdated settings file. When applicable, sets to the default value. """ - def __init__(self, - filename: str, - ) -> None: - + + def __init__( + self, + filename: str, + ) -> None: + self.plotoptions: dict - self.figsize: tuple = (8,6) - self.yax: str = 'nG' - self.xax: str = 'T_i_av' + self.figsize: tuple = (8, 6) + self.yax: str = "nG" + self.xax: str = "T_i_av" self.fill_invalid: bool = True self.read(filename) @@ -1340,22 +1681,24 @@ def read(self, filename: str) -> None: """ Reads a YAML file and sets the settings. """ - if filename.endswith('.yaml') or filename.endswith('.yml'): - data = yaml.safe_load(open(filename, 'r')) + if filename.endswith(".yaml") or filename.endswith(".yml"): + data = yaml.safe_load(open(filename, "r")) else: - raise ValueError('Filename must end with .yaml or .yml') - - with open(DEFAULT_PLOTSETTINGS, 'r') as f: + raise ValueError("Filename must end with .yaml or .yml") + + with open(DEFAULT_PLOTSETTINGS, "r") as f: defaults = yaml.safe_load(f) self.plotoptions = {} - for key in defaults['plotoptions']: - self.plotoptions[key] = safe_get(data['plotoptions'], key, defaults['plotoptions'][key]) - self.figsize = tuple(safe_get(data, 'figsize', defaults['figsize'])) - self.yax = safe_get(data, 'yax', defaults['yax']) - self.xax = safe_get(data, 'xax', defaults['xax']) - self.fill_invalid = safe_get(data, 'fill_invalid', defaults['fill_invalid']) - + for key in defaults["plotoptions"]: + self.plotoptions[key] = safe_get( + data["plotoptions"], key, defaults["plotoptions"][key] + ) + self.figsize = tuple(safe_get(data, "figsize", defaults["figsize"])) + self.yax = safe_get(data, "yax", defaults["yax"]) + self.xax = safe_get(data, "xax", defaults["xax"]) + self.fill_invalid = safe_get(data, "fill_invalid", defaults["fill_invalid"]) + pass @@ -1370,7 +1713,9 @@ class POPCON: """ - def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile = None) -> None: + def __init__( + self, settingsfile=None, plotsettingsfile=None, scalinglawfile=None + ) -> None: self.algorithms: POPCON_algorithms self.settings: POPCON_settings self.plotsettings: POPCON_plotsettings @@ -1395,18 +1740,18 @@ def __init__(self, settingsfile = None, plotsettingsfile = None, scalinglawfile self.__get_scaling_laws(scalinglawfile) self.scalinglawfile = os.path.abspath(scalinglawfile) - + self.__check_settings() pass - - #------------------------------------------------------------------- + + # ------------------------------------------------------------------- # Solving - #------------------------------------------------------------------- + # ------------------------------------------------------------------- def run_POPCON(self, setuponly=False) -> None: """ - Wrapper function that sets up and solves the power balance + Wrapper function that sets up and solves the power balance equations at each point in the grid. """ @@ -1419,88 +1764,115 @@ def run_POPCON(self, setuponly=False) -> None: scalinglaw = self.settings.scalinglaw slparam = self.scalinglaws[scalinglaw] self.algorithms.H_fac = self.settings.H_fac - self.algorithms.scaling_const = slparam['scaling_const'] - self.algorithms.M_i_alpha = slparam['M_i_alpha'] - self.algorithms.Ip_alpha = slparam['Ip_alpha'] - self.algorithms.R_alpha = slparam['R_alpha'] - self.algorithms.a_alpha = slparam['a_alpha'] - self.algorithms.kappa_alpha = slparam['kappa_alpha'] - self.algorithms.B0_alpha = slparam['B0_alpha'] - self.algorithms.Pheat_alpha = slparam['Pheat_alpha'] - self.algorithms.n20_alpha = slparam['n20_alpha'] + self.algorithms.scaling_const = slparam["scaling_const"] + self.algorithms.M_i_alpha = slparam["M_i_alpha"] + self.algorithms.Ip_alpha = slparam["Ip_alpha"] + self.algorithms.R_alpha = slparam["R_alpha"] + self.algorithms.a_alpha = slparam["a_alpha"] + self.algorithms.kappa_alpha = slparam["kappa_alpha"] + self.algorithms.B0_alpha = slparam["B0_alpha"] + self.algorithms.Pheat_alpha = slparam["Pheat_alpha"] + self.algorithms.n20_alpha = slparam["n20_alpha"] self.algorithms.build_state() if not setuponly: self.__solve() - def __solve(self) -> None: """ Does the legwork for run_POPCON. """ - + if self.settings.verbosity > 0: print("Setting up algorithm object") - + params = self.algorithms rho = params.sqrtpsin n_G = params.n_GR - n_e_avg_fac= params.volume_integral(rho, params.get_profile(rho,1))/params.V - T_i_avg_fac = params.volume_integral(rho, params.get_profile(rho,3))/params.V - T_e_avg_fac = params.volume_integral(rho, params.get_profile(rho,4))/params.V - n_e_20 = np.linspace(self.settings.nmin_frac*n_G/n_e_avg_fac, self.settings.nmax_frac*n_G/n_e_avg_fac, self.settings.Nn) - T_i_keV = np.linspace(self.settings.Tmin_keV/T_i_avg_fac, self.settings.Tmax_keV/T_i_avg_fac, self.settings.NTi) - T_e_keV = T_i_keV/self.settings.tipeak_over_tepeak - + n_e_avg_fac = params.volume_integral(rho, params.get_profile(rho, 1)) / params.V + T_i_avg_fac = params.volume_integral(rho, params.get_profile(rho, 3)) / params.V + T_e_avg_fac = params.volume_integral(rho, params.get_profile(rho, 4)) / params.V + n_e_20 = np.linspace( + self.settings.nmin_frac * n_G / n_e_avg_fac, + self.settings.nmax_frac * n_G / n_e_avg_fac, + self.settings.Nn, + ) + T_i_keV = np.linspace( + self.settings.Tmin_keV / T_i_avg_fac, + self.settings.Tmax_keV / T_i_avg_fac, + self.settings.NTi, + ) + T_e_keV = T_i_keV / self.settings.tipeak_over_tepeak + axes = { - 'n_G_frac': np.linspace(self.settings.nmin_frac, self.settings.nmax_frac, self.settings.Nn), - 'n_e_20_max': n_e_20, - 'n_e_20_avg': n_e_20 * n_e_avg_fac, - 'T_i_max': T_i_keV, - 'T_i_avg': T_i_keV * T_i_avg_fac, - 'T_e_max': T_e_keV, - 'T_e_avg': T_e_keV * T_e_avg_fac, + "n_G_frac": np.linspace( + self.settings.nmin_frac, self.settings.nmax_frac, self.settings.Nn + ), + "n_e_20_max": n_e_20, + "n_e_20_avg": n_e_20 * n_e_avg_fac, + "T_i_max": T_i_keV, + "T_i_avg": T_i_keV * T_i_avg_fac, + "T_e_max": T_e_keV, + "T_e_avg": T_e_keV * T_e_avg_fac, } if self.settings.verbosity > 0: print("Solving power balance equations") if self.settings.parallel: - Paux, flags = solve_nT_par(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV) + Paux, flags = solve_nT_par( + params.state, self.settings.Nn, self.settings.NTi, n_e_20, T_i_keV + ) else: - Paux, flags = solve_nT(params.state, self.settings.Nn, self.settings.NTi, - n_e_20, T_i_keV) - + Paux, flags = solve_nT( + params.state, self.settings.Nn, self.settings.NTi, n_e_20, T_i_keV + ) if self.settings.verbosity > 0: print("Power balance solutions found. Populating output arrays.") self.__report_invalid(flags, verbose=self.settings.verbosity > 0) if self.settings.parallel: - computed = populate_outputs_par(params.state, n_e_20, T_i_keV, T_e_keV, Paux, - self.settings.Nn, self.settings.NTi) + computed = populate_outputs_par( + params.state, + n_e_20, + T_i_keV, + T_e_keV, + Paux, + self.settings.Nn, + self.settings.NTi, + ) else: - computed = populate_outputs(params.state, n_e_20, T_i_keV, T_e_keV, Paux, - self.settings.Nn, self.settings.NTi) + computed = populate_outputs( + params.state, + n_e_20, + T_i_keV, + T_e_keV, + Paux, + self.settings.Nn, + self.settings.NTi, + ) grids = dict(axes, Paux=Paux, **computed._asdict()) self.output = build_dataset(grids, self.settings, self.scalinglaws) pass - def __report_invalid(self, flags, verbose:bool=True) -> None: + def __report_invalid(self, flags, verbose: bool = True) -> None: """ Says how much of the grid has no physical solution, and why. These points are set to P_aux = UNPHYSICAL and masked out of the plot. """ total = flags.size - counts = {code: int(np.count_nonzero(flags == code)) - for code in INVALID_REASONS} + counts = { + code: int(np.count_nonzero(flags == code)) for code in INVALID_REASONS + } ninvalid = sum(counts.values()) nnoaux = int(np.count_nonzero(flags == NOAUX)) if ninvalid: - print(f"{ninvalid} of {total} grid points ({100*ninvalid/total:.1f}%) " - f"have no physical solution and are masked in the plot:") + print( + f"{ninvalid} of {total} grid points ({100 * ninvalid / total:.1f}%) " + f"have no physical solution and are masked in the plot:" + ) for code, reason in INVALID_REASONS.items(): if counts[code]: print(f" {counts[code]:>6d} {reason}") @@ -1508,67 +1880,112 @@ def __report_invalid(self, flags, verbose:bool=True) -> None: print(f"All {total} grid points solved.") if nnoaux and verbose: - print(f"{nnoaux} of {total} grid points need no auxiliary heating " - f"(P_aux cannot be less than zero, setting P_aux = 0).") - - def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=True) -> None: + print( + f"{nnoaux} of {total} grid points need no auxiliary heating " + f"(P_aux cannot be less than zero, setting P_aux = 0)." + ) + + def single_point( + self, n_G_frac: float, Ti_av: float, plot: bool = True, show: bool = True + ) -> None: """ Solves power balance at a single n, T point. Prints the results plots the profiles of the solution if plot=True. """ - - try: self.algorithms + + try: + self.algorithms except AttributeError: self.run_POPCON(setuponly=True) n_G = self.algorithms.n_GR rho = self.algorithms.sqrtpsin - n_e_avg_fac = self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 1))/self.algorithms.V - n_e_20 = n_G_frac*n_G/n_e_avg_fac - T_i_avg_fac = self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 3))/self.algorithms.V - n_i_avg_fac = self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 2))/self.algorithms.V - T_i_keV = Ti_av/T_i_avg_fac - T_e_keV = T_i_keV/self.algorithms.tipeak_over_tepeak + n_e_avg_fac = ( + self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 1)) + / self.algorithms.V + ) + n_e_20 = n_G_frac * n_G / n_e_avg_fac + T_i_avg_fac = ( + self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 3)) + / self.algorithms.V + ) + n_i_avg_fac = ( + self.algorithms.volume_integral(rho, self.algorithms.get_profile(rho, 2)) + / self.algorithms.V + ) + T_i_keV = Ti_av / T_i_avg_fac + T_e_keV = T_i_keV / self.algorithms.tipeak_over_tepeak dil = self.algorithms.plasma_dilution(T_e_keV) - n_i_20 = n_e_20*dil + n_i_20 = n_e_20 * dil line_avg_fac = np.average(self.algorithms.get_profile(rho, 1)) Paux, flag = P_aux_impfrac(self.algorithms.state, n_e_20, T_i_keV) if flag in INVALID_REASONS: - print(f"This point has no physical solution: {INVALID_REASONS[flag]}. " - f"The numbers below are not meaningful.") + print( + f"This point has no physical solution: {INVALID_REASONS[flag]}. " + f"The numbers below are not meaningful." + ) elif flag == NOAUX: - print("This point needs no auxiliary heating, so P_aux is zero. " - "Check Q below for whether that is ignition or just ohmic " - "heating outrunning the loss at low temperature.") - - Pfusion = self.algorithms.volume_integral(rho,self.algorithms._P_fusion(rho, T_i_keV, n_i_20)) - Pfusion_heating = self.algorithms.volume_integral(rho,self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20)) - Pohmic = self.algorithms.volume_integral(rho,self.algorithms._P_OH_prof(rho, T_e_keV, n_e_20)) - Pbrems = self.algorithms.volume_integral(rho,self.algorithms._P_brem_rad(rho, T_e_keV, n_e_20)) - Psynch = self.algorithms.volume_integral(rho,self.algorithms._P_synch(rho, T_e_keV, n_e_20)) - Pimprad = self.algorithms.volume_integral(rho,self.algorithms._P_impurity_rad(rho, T_e_keV, n_e_20)) - Prad = self.algorithms.volume_integral(rho,self.algorithms._P_rad(rho, T_e_keV, n_e_20)) + print( + "This point needs no auxiliary heating, so P_aux is zero. " + "Check Q below for whether that is ignition or just ohmic " + "heating outrunning the loss at low temperature." + ) + + Pfusion = self.algorithms.volume_integral( + rho, self.algorithms._P_fusion(rho, T_i_keV, n_i_20) + ) + Pfusion_heating = self.algorithms.volume_integral( + rho, self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20) + ) + Pohmic = self.algorithms.volume_integral( + rho, self.algorithms._P_OH_prof(rho, T_e_keV, n_e_20) + ) + Pbrems = self.algorithms.volume_integral( + rho, self.algorithms._P_brem_rad(rho, T_e_keV, n_e_20) + ) + Psynch = self.algorithms.volume_integral( + rho, self.algorithms._P_synch(rho, T_e_keV, n_e_20) + ) + Pimprad = self.algorithms.volume_integral( + rho, self.algorithms._P_impurity_rad(rho, T_e_keV, n_e_20) + ) + Prad = self.algorithms.volume_integral( + rho, self.algorithms._P_rad(rho, T_e_keV, n_e_20) + ) Pheat = Pfusion_heating + Pohmic + Paux - Pbrems - Psynch - Palpha = self.algorithms.volume_integral(rho,self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20))*3.52e3/(3.52e3 + 14.06e3) - Pdd = self.algorithms.volume_integral(rho,self.algorithms._P_DDnHe3_prof(rho, T_i_keV, n_i_20)) - Pdd += self.algorithms.volume_integral(rho,self.algorithms._P_DDpT_prof(rho, T_i_keV, n_i_20)) - Pdt = self.algorithms.volume_integral(rho,self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20)) - tauE = self.algorithms.tauE_scalinglaw(Pheat, n_e_20*line_avg_fac) - Wtot = self.algorithms.volume_integral(rho,self.algorithms._W_tot_prof(rho,T_i_keV,n_e_20)) - Pconf = Wtot/tauE + Palpha = ( + self.algorithms.volume_integral( + rho, self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20) + ) + * 3.52e3 + / (3.52e3 + 14.06e3) + ) + Pdd = self.algorithms.volume_integral( + rho, self.algorithms._P_DDnHe3_prof(rho, T_i_keV, n_i_20) + ) + Pdd += self.algorithms.volume_integral( + rho, self.algorithms._P_DDpT_prof(rho, T_i_keV, n_i_20) + ) + Pdt = self.algorithms.volume_integral( + rho, self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20) + ) + tauE = self.algorithms.tauE_scalinglaw(Pheat, n_e_20 * line_avg_fac) + Wtot = self.algorithms.volume_integral( + rho, self.algorithms._W_tot_prof(rho, T_i_keV, n_e_20) + ) + Pconf = Wtot / tauE Ploss = Pconf + Psynch + Pbrems - f_rad = Prad/Ploss + f_rad = Prad / Ploss Q = self.algorithms.Q_fusion(T_i_keV, n_e_20, Paux) - H89 = tauE/self.algorithms.tauE_H89(Pheat,n_e_20*line_avg_fac) - H98 = tauE/self.algorithms.tauE_H98(Pheat,n_e_20*line_avg_fac) + H89 = tauE / self.algorithms.tauE_H89(Pheat, n_e_20 * line_avg_fac) + H98 = tauE / self.algorithms.tauE_H98(Pheat, n_e_20 * line_avg_fac) vloop = self.algorithms.Vloop(T_e_keV, n_e_20) - betaN = 100*self.algorithms.BetaN(T_i_keV, n_e_20) # in percent - pstring = \ -f""" + betaN = 100 * self.algorithms.BetaN(T_i_keV, n_e_20) # in percent + pstring = f""" Params: -n_i_average = {n_i_avg_fac*n_i_20} x 10^20 m^-3 -n_e_average = {n_G_frac*n_G:1.3f} x 10^20 m^-3 +n_i_average = {n_i_avg_fac * n_i_20} x 10^20 m^-3 +n_e_average = {n_G_frac * n_G:1.3f} x 10^20 m^-3 n_G = {n_G:1.3f} x 10^20 m^-3 n_i_axis = {n_i_20:1.3f} x 10^20 m^-3 n_e_axis = {n_e_20:1.3f} x 10^20 m^-3 @@ -1578,7 +1995,7 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr P_aux = {Paux:.2f} MW P_fusion = {Pfusion:.2f} MW P_SOL = {Ploss - Prad:.2f} MW -P_load = {(Ploss-Prad)/self.algorithms.A:.3f} MW/m^2 +P_load = {(Ploss - Prad) / self.algorithms.A:.3f} MW/m^2 P_ohmic = {Pohmic:.3f} MW P_brems = {Pbrems:.3f} MW P_synch = {Psynch:.3f} MW @@ -1601,59 +2018,71 @@ def single_point(self, n_G_frac:float, Ti_av:float, plot:bool=True, show:bool=Tr if plot: Pfusion_prof = self.algorithms._P_fusion(rho, T_i_keV, n_i_20) - Pfusion_heating_prof = self.algorithms._P_fusion_heating(rho, T_i_keV, n_i_20) + Pfusion_heating_prof = self.algorithms._P_fusion_heating( + rho, T_i_keV, n_i_20 + ) Pohmic_prof = self.algorithms._P_OH_prof(rho, T_e_keV, n_e_20) Prad_prof = self.algorithms._P_rad(rho, T_e_keV, n_e_20) Pbrems_prof = self.algorithms._P_brem_rad(rho, T_e_keV, n_e_20) Psynch_prof = self.algorithms._P_synch(rho, T_e_keV, n_e_20) # match the scalar Pheat above: brems and synch are removed before transport - Pheat_prof = Pfusion_heating_prof + Pohmic_prof + Paux/self.algorithms.V - Pbrems_prof - Psynch_prof - Palpha_prof = self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20)*3.52e3/(3.52e3 + 14.06e3) + Pheat_prof = ( + Pfusion_heating_prof + + Pohmic_prof + + Paux / self.algorithms.V + - Pbrems_prof + - Psynch_prof + ) + Palpha_prof = ( + self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20) + * 3.52e3 + / (3.52e3 + 14.06e3) + ) Pdt_prof = self.algorithms._P_DTnHe4_prof(rho, T_i_keV, n_i_20) - niprof = n_i_20*self.algorithms.get_profile(rho, 2) - neprof = n_e_20*self.algorithms.get_profile(rho, 1) - Tiprof = T_i_keV*self.algorithms.get_profile(rho, 3) - Teprof = T_e_keV*self.algorithms.get_profile(rho, 4) + niprof = n_i_20 * self.algorithms.get_profile(rho, 2) + neprof = n_e_20 * self.algorithms.get_profile(rho, 1) + Tiprof = T_i_keV * self.algorithms.get_profile(rho, 3) + Teprof = T_e_keV * self.algorithms.get_profile(rho, 4) qprof = self.algorithms.get_profile(rho, 5) # Density and temperatures - # - fig, ax1 = plt.subplots(figsize=(4,3)) + # + fig, ax1 = plt.subplots(figsize=(4, 3)) ax2 = ax1.twinx() - ax1.plot(rho, niprof, 'b-', label=r'$n_i$') - ax1.plot(rho, neprof, 'b--', label=r'$n_e$') - ax2.plot(rho, Tiprof, 'r-', label=r'$T_i$') - ax2.plot(rho, Teprof, 'r--', label=r'$T_e$') - ax1.set_xlabel(r'$\sqrt{\psi_N}$') - ax1.set_ylabel(r'$n$ ($m^{-3}$)', color='b') - ax2.set_ylabel(r'$T$ (keV)', color='r') - ax1.legend(loc='lower left') - ax2.legend(loc='upper right') + ax1.plot(rho, niprof, "b-", label=r"$n_i$") + ax1.plot(rho, neprof, "b--", label=r"$n_e$") + ax2.plot(rho, Tiprof, "r-", label=r"$T_i$") + ax2.plot(rho, Teprof, "r--", label=r"$T_e$") + ax1.set_xlabel(r"$\sqrt{\psi_N}$") + ax1.set_ylabel(r"$n$ ($m^{-3}$)", color="b") + ax2.set_ylabel(r"$T$ (keV)", color="r") + ax1.legend(loc="lower left") + ax2.legend(loc="upper right") if show: plt.show() - + # Power profiles - fig, ax = plt.subplots(figsize=(8,6)) + fig, ax = plt.subplots(figsize=(8, 6)) # V_enclosed = self.algorithms.get_profile(rho, -1) - radius = rho*self.algorithms.a - ax.plot(radius, Pfusion_prof, 'k-', label=r'$P_{\text{fusion}}$') - ax.plot(radius, Pohmic_prof, 'r-', label=r'$P_{\text{ohmic}}$') - ax.plot(radius, Prad_prof, '-',color='purple', label=r'$P_{\text{rad}}$') - ax.plot(radius, Pheat_prof, 'b-', label=r'$P_{\text{heat}}$') - ax.plot(radius, Palpha_prof, 'g-', label=r'$P_{\alpha}$') - ax.set_xlabel(r'$\rho$ ($m$)') - ax.set_ylabel(r'dP/dV (MW/$m^3$)') + radius = rho * self.algorithms.a + ax.plot(radius, Pfusion_prof, "k-", label=r"$P_{\text{fusion}}$") + ax.plot(radius, Pohmic_prof, "r-", label=r"$P_{\text{ohmic}}$") + ax.plot(radius, Prad_prof, "-", color="purple", label=r"$P_{\text{rad}}$") + ax.plot(radius, Pheat_prof, "b-", label=r"$P_{\text{heat}}$") + ax.plot(radius, Palpha_prof, "g-", label=r"$P_{\alpha}$") + ax.set_xlabel(r"$\rho$ ($m$)") + ax.set_ylabel(r"dP/dV (MW/$m^3$)") # ax.set_yscale('log') - ax.legend(loc='lower left') + ax.legend(loc="lower left") if show: plt.show() pass - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # Plotting - #------------------------------------------------------------------- + # ------------------------------------------------------------------- - def plot(self, show:bool=True, savefig:str='', names=None): + def plot(self, show: bool = True, savefig: str = "", names=None): """ Plots the output data. If variable names is specified, only plots those variables. Otherwise, refers to the plotsettings @@ -1661,198 +2090,297 @@ def plot(self, show:bool=True, savefig:str='', names=None): """ figsize = self.plotsettings.figsize fig, ax = plt.subplots(figsize=figsize) - if self.plotsettings.xax == 'T_i_av': + if self.plotsettings.xax == "T_i_av": xx = self.output.T_i_avg - elif self.plotsettings.xax == 'T_i_ax': + elif self.plotsettings.xax == "T_i_ax": xx = self.output.T_i_max - elif self.plotsettings.xax == 'T_e_av': + elif self.plotsettings.xax == "T_e_av": xx = self.output.T_e_avg - elif self.plotsettings.xax == 'T_e_ax': + elif self.plotsettings.xax == "T_e_ax": xx = self.output.T_e_max else: raise ValueError("Invalid x-axis. Change xax in plotsettings.") - - if self.plotsettings.yax == 'n20_av': + + if self.plotsettings.yax == "n20_av": yy = self.output.n_e_20_avg - elif self.plotsettings.yax == 'n20_ax': + elif self.plotsettings.yax == "n20_ax": yy = self.output.n_e_20_max - elif self.plotsettings.yax == 'nG': + elif self.plotsettings.yax == "nG": yy = self.output.n_G_frac else: raise ValueError("Invalid y-axis. Change yax in plotsettings.") - xx, yy = np.meshgrid(xx,yy) - mask = np.logical_or(np.isnan(self.output.Paux),self.output.Paux >=99998.) + xx, yy = np.meshgrid(xx, yy) + mask = np.logical_or(np.isnan(self.output.Paux), self.output.Paux >= 99998.0) if mask.all(): raise ValueError( "No point in this scan has a physical solution, so there is nothing " "to plot. Re-run with verbosity > 0 to see why, and try a smaller " - "impurity fraction or a different density/temperature range.") + "impurity fraction or a different density/temperature range." + ) if self.plotsettings.fill_invalid: - ax.contourf(xx,yy,np.ma.array(np.ones_like(xx),mask=np.logical_not(mask)),levels=[0,2],colors='k',alpha=0.5) + ax.contourf( + xx, + yy, + np.ma.array(np.ones_like(xx), mask=np.logical_not(mask)), + levels=[0, 2], + colors="k", + alpha=0.5, + ) if mask.any(): - ax.add_patch(patches.Rectangle((0,0),0,0,fc='k',alpha=0.5, - label='No physical solution')) + ax.add_patch( + patches.Rectangle( + (0, 0), 0, 0, fc="k", alpha=0.5, label="No physical solution" + ) + ) if np.any(self.output.Q > 1e4): - maskburning = np.logical_not(np.logical_or(np.isnan(self.output.Q),self.output.Q >=1e4)) - ax.contourf(xx,yy,np.ma.array(np.ones_like(xx),mask=maskburning),levels=[0,2],colors='r',alpha=0.08) + maskburning = np.logical_not( + np.logical_or(np.isnan(self.output.Q), self.output.Q >= 1e4) + ) + ax.contourf( + xx, + yy, + np.ma.array(np.ones_like(xx), mask=maskburning), + levels=[0, 2], + colors="r", + alpha=0.08, + ) if names is None: names = self.plotsettings.plotoptions.keys() for name in names: - mask = np.logical_or(np.isnan(self.output.Paux),self.output.Paux >=99998.) + mask = np.logical_or( + np.isnan(self.output.Paux), self.output.Paux >= 99998.0 + ) opdict = self.plotsettings.plotoptions[name] - if opdict['plot'] == False: + if opdict["plot"] == False: continue - plotoptions = [opdict['color'],opdict['linewidth'],opdict['label'],opdict['fontsize'],opdict['fmt']] - data = getattr(self.output,name) - data = np.ma.array(data,mask=mask) - if opdict['spacing'] == 'lin': - if opdict['scale'] == 'minmax': + plotoptions = [ + opdict["color"], + opdict["linewidth"], + opdict["label"], + opdict["fontsize"], + opdict["fmt"], + ] + data = getattr(self.output, name) + data = np.ma.array(data, mask=mask) + if opdict["spacing"] == "lin": + if opdict["scale"] == "minmax": if self.settings.verbosity > 1: - print(f"{name} min: {np.min(data)}, max: {np.max(data)}, levels: {opdict['levels']}") - levels = np.linspace(1.01*np.min(data),0.99*np.max(data),opdict['levels']) + print( + f"{name} min: {np.min(data)}, max: {np.max(data)}, levels: {opdict['levels']}" + ) + levels = np.linspace( + 1.01 * np.min(data), 0.99 * np.max(data), opdict["levels"] + ) if levels[-1] < levels[0]: levels = levels[::-1] - elif opdict['scale'] == 'specified': - levels = np.linspace(opdict['min'],opdict['max'],opdict['levels']) + elif opdict["scale"] == "specified": + levels = np.linspace(opdict["min"], opdict["max"], opdict["levels"]) else: - raise ValueError(f"Invalid scale for {name}. Change scale in plotsettings.") - elif opdict['spacing'] == 'log': - if opdict['scale'] == 'minmax': - levels = np.logspace(np.log10(1.01*np.min(data)),np.log10(0.99*np.max(data)),opdict['levels']) - elif opdict['scale'] == 'specified': - levels = np.logspace(np.log10(opdict['min']),np.log10(opdict['max']),opdict['levels']) + raise ValueError( + f"Invalid scale for {name}. Change scale in plotsettings." + ) + elif opdict["spacing"] == "log": + if opdict["scale"] == "minmax": + levels = np.logspace( + np.log10(1.01 * np.min(data)), + np.log10(0.99 * np.max(data)), + opdict["levels"], + ) + elif opdict["scale"] == "specified": + levels = np.logspace( + np.log10(opdict["min"]), + np.log10(opdict["max"]), + opdict["levels"], + ) else: - raise ValueError(f"Invalid scale for {name}. Change scale in plotsettings.") - elif opdict['spacing'] == 'manual': - levels = np.asarray(opdict['manuallevels'],dtype=np.float64) + raise ValueError( + f"Invalid scale for {name}. Change scale in plotsettings." + ) + elif opdict["spacing"] == "manual": + levels = np.asarray(opdict["manuallevels"], dtype=np.float64) else: - raise ValueError(f"Invalid spacing for {name}. Change spacing in plotsettings.") - + raise ValueError( + f"Invalid spacing for {name}. Change spacing in plotsettings." + ) + if self.settings.verbosity > 0: print(f"Plotting {name} with levels {levels} and options {plotoptions}") - self.plot_contours(opdict['plot'], ax, data, xx, yy, levels, *plotoptions) - - if self.plotsettings.xax == 'T_i_av': - ax.set_xlabel(r'$\langle T_i\rangle$ (keV)') - elif self.plotsettings.xax == 'T_i_ax': - ax.set_xlabel(r'$T_i$ (keV, On-axis)') - elif self.plotsettings.xax == 'T_e_av': - ax.set_xlabel(r'$\langle T_e\rangle$ (keV)') - elif self.plotsettings.xax == 'T_e_ax': - ax.set_xlabel(r'$T_e$ (keV, On-axis)') + self.plot_contours(opdict["plot"], ax, data, xx, yy, levels, *plotoptions) + + if self.plotsettings.xax == "T_i_av": + ax.set_xlabel(r"$\langle T_i\rangle$ (keV)") + elif self.plotsettings.xax == "T_i_ax": + ax.set_xlabel(r"$T_i$ (keV, On-axis)") + elif self.plotsettings.xax == "T_e_av": + ax.set_xlabel(r"$\langle T_e\rangle$ (keV)") + elif self.plotsettings.xax == "T_e_ax": + ax.set_xlabel(r"$T_e$ (keV, On-axis)") else: pass - - if self.plotsettings.yax == 'n20_av': - ax.set_ylabel(r'$\langle n_{20}\rangle$ ($10^{20} m^{-3}$)') - elif self.plotsettings.yax == 'n20_ax': - ax.set_ylabel(r'$n_{20}(0)$') - elif self.plotsettings.yax == 'nG': - ax.set_ylabel(r'$\langle n\rangle /n_G$') + + if self.plotsettings.yax == "n20_av": + ax.set_ylabel(r"$\langle n_{20}\rangle$ ($10^{20} m^{-3}$)") + elif self.plotsettings.yax == "n20_ax": + ax.set_ylabel(r"$n_{20}(0)$") + elif self.plotsettings.yax == "nG": + ax.set_ylabel(r"$\langle n\rangle /n_G$") else: pass p = self.algorithms # 1 = D-D, 2 = D-T, 3 = D-He3 - fueldict = {1:'D-D', 2:'D-T', 3:'D-He3'} + fueldict = {1: "D-D", 2: "D-T", 3: "D-He3"} - ax.legend(bbox_to_anchor=(1, 1), loc='upper left') + ax.legend(bbox_to_anchor=(1, 1), loc="upper left") infoboxtext = f"$I_p$ = {p.Ip:.2f}\n$B_0$ = {p.B0:.2f}\nR = {p.R:.2f}\na = {p.a:.2f}\n$\\kappa$ = {p.kappa:.2f}\n$\\delta$ = {p.delta:.2f}\n$M_i$ = {p.M_i:.2f}\nti/te = {p.tipeak_over_tepeak:.2f}\nfuel = {fueldict[p.fuel]}\n={p.Zeff(np.average(xx)):.2f}" - ax.text(x=np.max(xx)+(np.max(xx)-np.min(xx))/64,y=np.min(yy),s=infoboxtext, bbox=dict(boxstyle="round", fc="w", ec="0.5", alpha=0.8)) + ax.text( + x=np.max(xx) + (np.max(xx) - np.min(xx)) / 64, + y=np.min(yy), + s=infoboxtext, + bbox=dict(boxstyle="round", fc="w", ec="0.5", alpha=0.8), + ) fig.tight_layout() - if savefig != '': + if savefig != "": plt.savefig(savefig) if show: plt.show() return fig, ax - - def plot_contours(self, plotbool:bool, ax, data:np.ndarray, xx:np.ndarray, yy:np.ndarray, levels, color, linewidth, label:str, fontsize:int, fmt:str): + + def plot_contours( + self, + plotbool: bool, + ax, + data: np.ndarray, + xx: np.ndarray, + yy: np.ndarray, + levels, + color, + linewidth, + label: str, + fontsize: int, + fmt: str, + ): if plotbool: - contour = ax.contour(xx, yy, data, levels=levels, colors=color, linewidths=linewidth) - rect = patches.Rectangle((0,0),0,0,fc = color,label = label) + contour = ax.contour( + xx, yy, data, levels=levels, colors=color, linewidths=linewidth + ) + rect = patches.Rectangle((0, 0), 0, 0, fc=color, label=label) ax.add_patch(rect) - ax.clabel(contour,inline=1,fmt=fmt,fontsize=fontsize) + ax.clabel(contour, inline=1, fmt=fmt, fontsize=fontsize) pass - - def custom_plot(self, fig, ax, data, levels, color='k', linewidth=1., label:str='custom', fontsize:int=11, fmt:str='%1.2f'): - if self.plotsettings.xax == 'T_i_av': + + def custom_plot( + self, + fig, + ax, + data, + levels, + color="k", + linewidth=1.0, + label: str = "custom", + fontsize: int = 11, + fmt: str = "%1.2f", + ): + if self.plotsettings.xax == "T_i_av": xx = self.output.T_i_avg - elif self.plotsettings.xax == 'T_i_ax': + elif self.plotsettings.xax == "T_i_ax": xx = self.output.T_i_max - elif self.plotsettings.xax == 'T_e_av': + elif self.plotsettings.xax == "T_e_av": xx = self.output.T_e_avg - elif self.plotsettings.xax == 'T_e_ax': + elif self.plotsettings.xax == "T_e_ax": xx = self.output.T_e_max else: raise ValueError("Invalid x-axis. Change xax in plotsettings.") - - if self.plotsettings.yax == 'n20_av': + + if self.plotsettings.yax == "n20_av": yy = self.output.n_e_20_avg - elif self.plotsettings.yax == 'n20_ax': + elif self.plotsettings.yax == "n20_ax": yy = self.output.n_e_20_max - elif self.plotsettings.yax == 'nG': + elif self.plotsettings.yax == "nG": yy = self.output.n_G_frac else: raise ValueError("Invalid y-axis. Change yax in plotsettings.") - xx, yy = np.meshgrid(xx,yy) - mask = np.logical_or(np.isnan(self.output.Paux),self.output.Paux >=99998.) - self.plot_contours(True, ax, np.ma.array(data,mask=mask), xx, yy, levels, *[color,linewidth,label,fontsize,fmt]) + xx, yy = np.meshgrid(xx, yy) + mask = np.logical_or(np.isnan(self.output.Paux), self.output.Paux >= 99998.0) + self.plot_contours( + True, + ax, + np.ma.array(data, mask=mask), + xx, + yy, + levels, + *[color, linewidth, label, fontsize, fmt], + ) return fig, ax - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # File I/O - #------------------------------------------------------------------- - - def write_output(self, name:str='', archive:bool=True, overwrite:bool=False, directory:str=None) -> None: + # ------------------------------------------------------------------- + + def write_output( + self, + name: str = "", + archive: bool = True, + overwrite: bool = False, + directory: str = None, + ) -> None: """ Saves the output results to a directory. If archive is True, archives the directory as a zip file. If overwrite is True, overwrites the directory/zip if it already exists. The directory parameter allows specifying the storage location. """ - if name == '': + if name == "": stamp = datetime.datetime.now().strftime(r"%Y-%m-%d_%H-%M-%S") - name = re.sub(r'[^A-Za-z0-9._-]+', '_', self.settings.name) + '_' + stamp + name = re.sub(r"[^A-Za-z0-9._-]+", "_", self.settings.name) + "_" + stamp if directory is None: - outputsdir = pathlib.Path.cwd().joinpath('OpenPOPCON_outputs') + outputsdir = pathlib.Path.cwd().joinpath("OpenPOPCON_outputs") else: outputsdir = pathlib.Path(directory) direxists = outputsdir.joinpath(name).exists() - zipexists = outputsdir.joinpath(name + '.zip').exists() + zipexists = outputsdir.joinpath(name + ".zip").exists() if not (direxists or zipexists): outputsdir.joinpath(name).mkdir(parents=True) elif overwrite: - if zipexists: - outputsdir.joinpath(name + '.zip').unlink() - if direxists: - shutil.rmtree(outputsdir.joinpath(name)) - outputsdir.joinpath(name).mkdir(parents=True) + if zipexists: + outputsdir.joinpath(name + ".zip").unlink() + if direxists: + shutil.rmtree(outputsdir.joinpath(name)) + outputsdir.joinpath(name).mkdir(parents=True) else: - raise ValueError(f"{'Archive'*zipexists}{' and '*zipexists*direxists}{'Directory'*direxists} already exist{'s'*(not (direxists and zipexists))}. Set overwrite=True to overwrite.") - + raise ValueError( + f"{'Archive' * zipexists}{' and ' * zipexists * direxists}{'Directory' * direxists} already exist{'s' * (not (direxists and zipexists))}. Set overwrite=True to overwrite." + ) + savedir = outputsdir.joinpath(name) - shutil.copyfile(self.settingsfile, savedir.joinpath('settings.yaml')) - shutil.copyfile(self.plotsettingsfile, savedir.joinpath('plotsettings.yaml')) - shutil.copyfile(self.scalinglawfile, savedir.joinpath('scalinglaws.yaml')) - - self.output.to_netcdf(savedir.joinpath('arrays.nc')) + shutil.copyfile(self.settingsfile, savedir.joinpath("settings.yaml")) + shutil.copyfile(self.plotsettingsfile, savedir.joinpath("plotsettings.yaml")) + shutil.copyfile(self.scalinglawfile, savedir.joinpath("scalinglaws.yaml")) + + self.output.to_netcdf(savedir.joinpath("arrays.nc")) - if self.settings.gfilename != '': - shutil.copyfile(self.settings.gfilename, savedir.joinpath(self.settings.gfilename.split(str(os.sep))[-1])) - if self.settings.profsfilename != '': - shutil.copyfile(self.settings.profsfilename, savedir.joinpath(self.settings.profsfilename.split(str(os.sep))[-1])) + if self.settings.gfilename != "": + shutil.copyfile( + self.settings.gfilename, + savedir.joinpath(self.settings.gfilename.split(str(os.sep))[-1]), + ) + if self.settings.profsfilename != "": + shutil.copyfile( + self.settings.profsfilename, + savedir.joinpath(self.settings.profsfilename.split(str(os.sep))[-1]), + ) - self.plot(show=False, savefig=str(savedir.joinpath('POPCON_plot.pdf'))) - plt.close('all') + self.plot(show=False, savefig=str(savedir.joinpath("POPCON_plot.pdf"))) + plt.close("all") if archive: - written = outputsdir.joinpath(name + '.zip') - shutil.make_archive(str(outputsdir.joinpath(name)), 'zip', savedir) + written = outputsdir.joinpath(name + ".zip") + shutil.make_archive(str(outputsdir.joinpath(name)), "zip", savedir) shutil.rmtree(savedir) else: written = savedir @@ -1865,53 +2393,60 @@ def read_output(self, name: str, directory: str = None) -> None: Restores the POPCON object based on the output directory. """ if directory is None: - outputsdir = pathlib.Path.cwd().joinpath('OpenPOPCON_outputs') + outputsdir = pathlib.Path.cwd().joinpath("OpenPOPCON_outputs") else: outputsdir = pathlib.Path(directory) - if name.endswith('.zip'): + if name.endswith(".zip"): outputsdir.joinpath(name[:-4]).mkdir(parents=True, exist_ok=True) - shutil.unpack_archive(outputsdir.joinpath(name), outputsdir.joinpath(name[:-4])) + shutil.unpack_archive( + outputsdir.joinpath(name), outputsdir.joinpath(name[:-4]) + ) name = name[:-4] namepath = outputsdir.joinpath(name) - self.settingsfile = str(namepath.joinpath('settings.yaml')) - self.plotsettingsfile = str(namepath.joinpath('plotsettings.yaml')) - self.scalinglawfile = str(namepath.joinpath('scalinglaws.yaml')) + self.settingsfile = str(namepath.joinpath("settings.yaml")) + self.plotsettingsfile = str(namepath.joinpath("plotsettings.yaml")) + self.scalinglawfile = str(namepath.joinpath("scalinglaws.yaml")) self.settings = POPCON_settings(self.settingsfile) self.plotsettings = POPCON_plotsettings(self.plotsettingsfile) self.__get_scaling_laws(self.scalinglawfile) - - ncpath = namepath.joinpath('arrays.nc') - jsonpath = namepath.joinpath('arrays.json') + + ncpath = namepath.joinpath("arrays.nc") + jsonpath = namepath.joinpath("arrays.json") if ncpath.is_file(): self.output = xr.load_dataset(ncpath) elif jsonpath.is_file(): # archives written before the netCDF switch - with open(jsonpath, 'r') as f: + with open(jsonpath, "r") as f: data = json.load(f) self.output = build_dataset( - {k: np.array(v, dtype=np.float64) for k, v in data.items()}) + {k: np.array(v, dtype=np.float64) for k, v in data.items()} + ) else: raise FileNotFoundError(f"No arrays.nc or arrays.json in {namepath}.") - if self.settings.gfilename != '': - self.settings.gfilename = str(namepath.joinpath(self.settings.gfilename.split(str(os.sep))[-1])) - if self.settings.profsfilename != '': - self.settings.profsfilename = str(namepath.joinpath(self.settings.profsfilename.split(str(os.sep))[-1])) + if self.settings.gfilename != "": + self.settings.gfilename = str( + namepath.joinpath(self.settings.gfilename.split(str(os.sep))[-1]) + ) + if self.settings.profsfilename != "": + self.settings.profsfilename = str( + namepath.joinpath(self.settings.profsfilename.split(str(os.sep))[-1]) + ) self.run_POPCON(setuponly=True) pass - #------------------------------------------------------------------- + # ------------------------------------------------------------------- # Setup functions - #------------------------------------------------------------------- + # ------------------------------------------------------------------- def __get_scaling_laws(self, scalinglawfile: str) -> None: - if scalinglawfile.endswith('.yaml') or scalinglawfile.endswith('.yml'): - data = yaml.safe_load(open(scalinglawfile, 'r')) + if scalinglawfile.endswith(".yaml") or scalinglawfile.endswith(".yml"): + data = yaml.safe_load(open(scalinglawfile, "r")) else: - raise ValueError('Filename must end with .yaml or .yml') - assert 'H89' in data.keys() - assert 'H98y2' in data.keys() - assert 'H_NT23' in data.keys() + raise ValueError("Filename must end with .yaml or .yml") + assert "H89" in data.keys() + assert "H98y2" in data.keys() + assert "H_NT23" in data.keys() self.scalinglaws = data def __setup_params(self) -> None: @@ -1928,10 +2463,12 @@ def __setup_params(self) -> None: self.algorithms.fuel = self.settings.fuel self.algorithms.impurityfractions = self.settings.impurityfractions self.algorithms.verbosity = self.settings.verbosity - self.algorithms.resistivity_alg = RESISTIVITY_MODELS[self.settings.resistivity_model.lower()] + self.algorithms.resistivity_alg = RESISTIVITY_MODELS[ + self.settings.resistivity_model.lower() + ] def __get_profiles(self) -> None: - if self.settings.profsfilename == '': + if self.settings.profsfilename == "": if self.settings.ne_offset == 0: self.settings.ne_offset = 1e-6 if self.settings.ni_offset == 0: @@ -1941,68 +2478,90 @@ def __get_profiles(self) -> None: if self.settings.Te_offset == 0: self.settings.Te_offset = 1e-6 - self.algorithms._set_alpha_and_offset(self.settings.ne_alpha1, self.settings.ne_alpha2, self.settings.ne_offset, 1) - self.algorithms._set_alpha_and_offset(self.settings.ni_alpha1, self.settings.ni_alpha2, self.settings.ni_offset, 2) - self.algorithms._set_alpha_and_offset(self.settings.Ti_alpha1, self.settings.Ti_alpha2, self.settings.Ti_offset, 3) - self.algorithms._set_alpha_and_offset(self.settings.Te_alpha1, self.settings.Te_alpha2, self.settings.Te_offset, 4) + self.algorithms._set_alpha_and_offset( + self.settings.ne_alpha1, + self.settings.ne_alpha2, + self.settings.ne_offset, + 1, + ) + self.algorithms._set_alpha_and_offset( + self.settings.ni_alpha1, + self.settings.ni_alpha2, + self.settings.ni_offset, + 2, + ) + self.algorithms._set_alpha_and_offset( + self.settings.Ti_alpha1, + self.settings.Ti_alpha2, + self.settings.Ti_offset, + 3, + ) + self.algorithms._set_alpha_and_offset( + self.settings.Te_alpha1, + self.settings.Te_alpha2, + self.settings.Te_offset, + 4, + ) else: profstable = read_profsfile(self.settings.profsfilename) - ne = np.asarray(profstable['n_e']) - ne = ne/ne[0] - ni = np.asarray(profstable['n_i']) - ni = ni/ni[0] - Ti = np.asarray(profstable['T_i']) - Ti = Ti/Ti[0] - Te = np.asarray(profstable['T_e']) - Te = Te/Te[0] - rho = np.asarray(profstable['rho']) - ne_sqrtpsin = np.interp(np.linspace(0.001,1,self.settings.nr),rho,ne) - ni_sqrtpsin = np.interp(np.linspace(0.001,1,self.settings.nr),rho,ni) - Ti_sqrtpsin = np.interp(np.linspace(0.001,1,self.settings.nr),rho,Ti) - Te_sqrtpsin = np.interp(np.linspace(0.001,1,self.settings.nr),rho,Te) - self.algorithms._addextprof(ne_sqrtpsin,1) - self.algorithms._addextprof(ni_sqrtpsin,2) - self.algorithms._addextprof(Ti_sqrtpsin,3) - self.algorithms._addextprof(Te_sqrtpsin,4) + ne = np.asarray(profstable["n_e"]) + ne = ne / ne[0] + ni = np.asarray(profstable["n_i"]) + ni = ni / ni[0] + Ti = np.asarray(profstable["T_i"]) + Ti = Ti / Ti[0] + Te = np.asarray(profstable["T_e"]) + Te = Te / Te[0] + rho = np.asarray(profstable["rho"]) + ne_sqrtpsin = np.interp(np.linspace(0.001, 1, self.settings.nr), rho, ne) + ni_sqrtpsin = np.interp(np.linspace(0.001, 1, self.settings.nr), rho, ni) + Ti_sqrtpsin = np.interp(np.linspace(0.001, 1, self.settings.nr), rho, Ti) + Te_sqrtpsin = np.interp(np.linspace(0.001, 1, self.settings.nr), rho, Te) + self.algorithms._addextprof(ne_sqrtpsin, 1) + self.algorithms._addextprof(ni_sqrtpsin, 2) + self.algorithms._addextprof(Ti_sqrtpsin, 3) + self.algorithms._addextprof(Te_sqrtpsin, 4) pass def __get_geometry(self) -> None: - if self.settings.gfilename == '': - rho = np.linspace(0.001,1,self.settings.nr) + if self.settings.gfilename == "": + rho = np.linspace(0.001, 1, self.settings.nr) if self.settings.j_offset == 0: self.settings.j_offset = 1e-6 - self.algorithms._addextprof(rho,-2) - self.algorithms._set_alpha_and_offset(self.settings.j_alpha1, self.settings.j_alpha2, self.settings.j_offset, 0) + self.algorithms._addextprof(rho, -2) + self.algorithms._set_alpha_and_offset( + self.settings.j_alpha1, + self.settings.j_alpha2, + self.settings.j_offset, + 0, + ) self.algorithms.Itot = self.settings.Ip - + else: gfile = read_eqdsk(self.settings.gfilename) psin, volgrid, agrid, fs = get_fluxvolumes(gfile, self.settings.nr) - sqrtpsin = np.linspace(0.001,0.98,self.settings.nr) - volgrid = np.interp(sqrtpsin,np.sqrt(psin),volgrid) - _, jrms, jtoravg, cross_sec_areas = get_current_density(gfile, self.settings.nr) - qpsi = np.asarray(gfile['qpsi']) - psiq = np.linspace(0,1,qpsi.shape[0]) - qr = np.interp(sqrtpsin,np.sqrt(psiq),qpsi) - - - - Ipint = np.abs(np.trapezoid(y=jtoravg, x=cross_sec_areas))/1e6 + sqrtpsin = np.linspace(0.001, 0.98, self.settings.nr) + volgrid = np.interp(sqrtpsin, np.sqrt(psin), volgrid) + _, jrms, jtoravg, cross_sec_areas = get_current_density( + gfile, self.settings.nr + ) + qpsi = np.asarray(gfile["qpsi"]) + psiq = np.linspace(0, 1, qpsi.shape[0]) + qr = np.interp(sqrtpsin, np.sqrt(psiq), qpsi) + + Ipint = np.abs(np.trapezoid(y=jtoravg, x=cross_sec_areas)) / 1e6 Jrmsint = np.abs(np.trapezoid(y=jrms, x=cross_sec_areas)) - Jrms_norm = jrms/Jrmsint - + Jrms_norm = jrms / Jrmsint lcfs = fs[-1] - geq_a = (np.max(lcfs[:,0])-np.min(lcfs[:,0]))/2 - geq_R = (np.max(lcfs[:,0]) - geq_a) - geq_z0 = (np.max(lcfs[:,1]) + np.min(lcfs[:,1]))/2 - geq_kappa = np.abs(np.max(lcfs[:,1]) - np.min(lcfs[:,1]))/(2*geq_a) - geq_Rtop = lcfs[np.argmax(lcfs[:,1]),0] - geq_Rbot = lcfs[np.argmin(lcfs[:,1]),0] - geq_delta = ((geq_R-geq_Rtop)/geq_a + (geq_R-geq_Rbot)/geq_a)/2 - - + geq_a = (np.max(lcfs[:, 0]) - np.min(lcfs[:, 0])) / 2 + geq_R = np.max(lcfs[:, 0]) - geq_a + geq_z0 = (np.max(lcfs[:, 1]) + np.min(lcfs[:, 1])) / 2 + geq_kappa = np.abs(np.max(lcfs[:, 1]) - np.min(lcfs[:, 1])) / (2 * geq_a) + geq_Rtop = lcfs[np.argmax(lcfs[:, 1]), 0] + geq_Rbot = lcfs[np.argmin(lcfs[:, 1]), 0] + geq_delta = ((geq_R - geq_Rtop) / geq_a + (geq_R - geq_Rbot) / geq_a) / 2 if self.settings.verbosity > 1: print("gEQDSK geometry:") @@ -2011,50 +2570,58 @@ def __get_geometry(self) -> None: print(f"Elongation: {geq_kappa}") print(f"Triangularity: {geq_delta}") print(f"z0: {geq_z0}") - print("gEQDSK Ip:",Ipint) - + print("gEQDSK Ip:", Ipint) - psin, ftrapped_profile = get_trapped_particle_fraction(gfile) - ftrapped_profile = np.interp(sqrtpsin,np.sqrt(psin),ftrapped_profile) + ftrapped_profile = np.interp(sqrtpsin, np.sqrt(psin), ftrapped_profile) if self.settings.verbosity > 1: - print("Len of psin:",len(psin)) - print("Len of sqrtpsin:",len(sqrtpsin)) - print("Len of volgrid:",len(volgrid)) - print("Len of jrms:",len(jrms)) - print("Len of qr:",len(qr)) - print("Len of agrid:",len(agrid)) - print("Len of ftrapped_profile:",len(ftrapped_profile)) - - if np.abs(geq_a/self.settings.a - 1) > 0.1: - print(f"Warning: gEQDSK minor radius ({geq_a} m) differs significantly from settings a ({self.settings.a} m). Defaulting to gEQDSK value.") + print("Len of psin:", len(psin)) + print("Len of sqrtpsin:", len(sqrtpsin)) + print("Len of volgrid:", len(volgrid)) + print("Len of jrms:", len(jrms)) + print("Len of qr:", len(qr)) + print("Len of agrid:", len(agrid)) + print("Len of ftrapped_profile:", len(ftrapped_profile)) + + if np.abs(geq_a / self.settings.a - 1) > 0.1: + print( + f"Warning: gEQDSK minor radius ({geq_a} m) differs significantly from settings a ({self.settings.a} m). Defaulting to gEQDSK value." + ) self.settings.a = geq_a self.algorithms.a = geq_a - if np.abs(geq_R/self.settings.R - 1) > 0.1: - print(f"Warning: gEQDSK major radius ({geq_R} m) differs significantly from settings R ({self.settings.R} m). Defaulting to gEQDSK value.") + if np.abs(geq_R / self.settings.R - 1) > 0.1: + print( + f"Warning: gEQDSK major radius ({geq_R} m) differs significantly from settings R ({self.settings.R} m). Defaulting to gEQDSK value." + ) self.settings.R = geq_R self.algorithms.R = geq_R - if np.abs(geq_kappa/self.settings.kappa - 1) > 0.1: - print(f"Warning: gEQDSK elongation ({geq_kappa}) differs significantly from settings kappa ({self.settings.kappa}). Defaulting to gEQDSK value.") + if np.abs(geq_kappa / self.settings.kappa - 1) > 0.1: + print( + f"Warning: gEQDSK elongation ({geq_kappa}) differs significantly from settings kappa ({self.settings.kappa}). Defaulting to gEQDSK value." + ) self.settings.kappa = geq_kappa self.algorithms.kappa = geq_kappa - if np.abs(geq_delta/self.settings.delta - 1) > 0.1: - print(f"Warning: gEQDSK triangularity ({geq_delta}) differs significantly from settings delta ({self.settings.delta}). Defaulting to gEQDSK value.") + if np.abs(geq_delta / self.settings.delta - 1) > 0.1: + print( + f"Warning: gEQDSK triangularity ({geq_delta}) differs significantly from settings delta ({self.settings.delta}). Defaulting to gEQDSK value." + ) self.settings.delta = geq_delta self.algorithms.delta = geq_delta - if np.abs(Ipint/self.settings.Ip - 1) > 0.1: - print(f"Warning: gEQDSK Ip ({Ipint}) differs significantly from settings Ip ({self.settings.Ip}). Defaulting to gEQDSK value.") + if np.abs(Ipint / self.settings.Ip - 1) > 0.1: + print( + f"Warning: gEQDSK Ip ({Ipint}) differs significantly from settings Ip ({self.settings.Ip}). Defaulting to gEQDSK value." + ) self.settings.Ip = Ipint self.algorithms.Ip = Ipint - - self.algorithms._addextprof(sqrtpsin,-2) - self.algorithms._addextprof(volgrid,-1) - self.algorithms._addextprof(Jrms_norm,0) + + self.algorithms._addextprof(sqrtpsin, -2) + self.algorithms._addextprof(volgrid, -1) + self.algorithms._addextprof(Jrms_norm, 0) self.algorithms.Itot = Ipint - self.algorithms._addextprof(qr,5) - self.algorithms._addextprof(agrid,-3) - self.algorithms._addextprof(ftrapped_profile,6) + self.algorithms._addextprof(qr, 5) + self.algorithms._addextprof(agrid, -3) + self.algorithms._addextprof(ftrapped_profile, 6) pass def __check_settings(self) -> None: @@ -2064,7 +2631,7 @@ def __check_settings(self) -> None: reports all of them rather than one per run. Anything suspicious but legal is printed as a warning instead. """ - if not hasattr(self, 'settings'): + if not hasattr(self, "settings"): return s = self.settings bad = [] @@ -2072,40 +2639,54 @@ def __check_settings(self) -> None: # names that must match something the code knows about if s.scalinglaw not in self.scalinglaws: - bad.append(f"scalinglaw '{s.scalinglaw}' is not defined. " - f"Available: {', '.join(sorted(self.scalinglaws))}.") - elif self.scalinglaws[s.scalinglaw].get('Pheat_alpha') == -1: + bad.append( + f"scalinglaw '{s.scalinglaw}' is not defined. " + f"Available: {', '.join(sorted(self.scalinglaws))}." + ) + elif self.scalinglaws[s.scalinglaw].get("Pheat_alpha") == -1: # the closed-form solver evaluates (W_tot/K)**(1/(1+Pheat_alpha)), # which is singular at Pheat_alpha = -1 - bad.append(f"scalinglaw '{s.scalinglaw}' has Pheat_alpha = -1, which makes " - f"the closed-form power balance singular. Use a different exponent.") + bad.append( + f"scalinglaw '{s.scalinglaw}' has Pheat_alpha = -1, which makes " + f"the closed-form power balance singular. Use a different exponent." + ) if s.resistivity_model.lower() not in RESISTIVITY_MODELS: - bad.append(f"resistivity_model '{s.resistivity_model}' is not recognized. " - f"Available: {', '.join(sorted(RESISTIVITY_MODELS))}.") + bad.append( + f"resistivity_model '{s.resistivity_model}' is not recognized. " + f"Available: {', '.join(sorted(RESISTIVITY_MODELS))}." + ) # scan limits if s.Tmin_keV >= s.Tmax_keV: - bad.append(f"Tmin_keV ({s.Tmin_keV}) must be less than Tmax_keV ({s.Tmax_keV}).") + bad.append( + f"Tmin_keV ({s.Tmin_keV}) must be less than Tmax_keV ({s.Tmax_keV})." + ) if s.nmin_frac >= s.nmax_frac: - bad.append(f"nmin_frac ({s.nmin_frac}) must be less than nmax_frac ({s.nmax_frac}).") + bad.append( + f"nmin_frac ({s.nmin_frac}) must be less than nmax_frac ({s.nmax_frac})." + ) if s.Tmin_keV <= 0: bad.append(f"Tmin_keV must be positive, got {s.Tmin_keV}.") if s.nmin_frac <= 0: bad.append(f"nmin_frac must be positive, got {s.nmin_frac}.") # grid resolution - for key in ('Nn', 'NTi', 'nr'): + for key in ("Nn", "NTi", "nr"): if getattr(s, key) < 2: bad.append(f"{key} must be at least 2, got {getattr(s, key)}.") # machine geometry - for key in ('R', 'a', 'kappa', 'tipeak_over_tepeak', 'H_fac'): + for key in ("R", "a", "kappa", "tipeak_over_tepeak", "H_fac"): if getattr(s, key) <= 0: bad.append(f"{key} must be positive, got {getattr(s, key)}.") if s.a >= s.R: - bad.append(f"minor radius a ({s.a} m) must be smaller than major radius R ({s.R} m).") + bad.append( + f"minor radius a ({s.a} m) must be smaller than major radius R ({s.R} m)." + ) if abs(s.delta) >= 1: - bad.append(f"delta (triangularity) must be between -1 and 1, got {s.delta}.") + bad.append( + f"delta (triangularity) must be between -1 and 1, got {s.delta}." + ) if s.B0 == 0: bad.append("B_0 must be nonzero.") if s.Ip == 0: @@ -2114,32 +2695,41 @@ def __check_settings(self) -> None: # composition impsum = float(np.sum(s.impurityfractions)) if not 0 <= impsum < 1: - shown = ', '.join(f"{v:g}" for v in s.impurityfractions) - bad.append(f"impurityfractions must sum to at least 0 and less than 1, " - f"got {impsum:.4g} from [{shown}].") + shown = ", ".join(f"{v:g}" for v in s.impurityfractions) + bad.append( + f"impurityfractions must sum to at least 0 and less than 1, " + f"got {impsum:.4g} from [{shown}]." + ) if s.fuel not in (1, 2): bad.append(f"fuel must be 1 (D-D) or 2 (D-T), got {s.fuel}.") # legal, but worth saying out loud - keys = getattr(s, 'rawkeys', set()) - if ('Zeff_target' in keys) != ('impurity' in keys): - warn.append("Zeff_target and impurity must both be given to set an impurity " - "fraction from Z_eff; specifying only one has no effect.") + keys = getattr(s, "rawkeys", set()) + if ("Zeff_target" in keys) != ("impurity" in keys): + warn.append( + "Zeff_target and impurity must both be given to set an impurity " + "fraction from Z_eff; specifying only one has no effect." + ) for key in sorted(keys & set(DEPRECATED_SETTINGS_KEYS)): - warn.append(f"{key} is no longer used, because {DEPRECATED_SETTINGS_KEYS[key]}. " - f"You can delete it from the settings file.") + warn.append( + f"{key} is no longer used, because {DEPRECATED_SETTINGS_KEYS[key]}. " + f"You can delete it from the settings file." + ) unknown = keys - KNOWN_SETTINGS_KEYS - set(DEPRECATED_SETTINGS_KEYS) if unknown: - warn.append(f"unrecognized settings, which are ignored: {', '.join(sorted(unknown))}.") + warn.append( + f"unrecognized settings, which are ignored: {', '.join(sorted(unknown))}." + ) for w in warn: print(f"Warning: {w}") if bad: - where = getattr(s, 'settingsfile', 'the settings file') - raise ValueError(f"Found {len(bad)} problem(s) in {where}:\n - " - + "\n - ".join(bad)) - - def update_plotsettings(self, plotsettingsfile = None): + where = getattr(s, "settingsfile", "the settings file") + raise ValueError( + f"Found {len(bad)} problem(s) in {where}:\n - " + "\n - ".join(bad) + ) + + def update_plotsettings(self, plotsettingsfile=None): if plotsettingsfile is not None: self.plotsettings = POPCON_plotsettings(plotsettingsfile) self.plotsettingsfile = plotsettingsfile @@ -2147,37 +2737,37 @@ def update_plotsettings(self, plotsettingsfile = None): self.plotsettings = POPCON_plotsettings(self.plotsettingsfile) pass + @nb.njit(parallel=True, cache=True) -def solve_nT_par(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray): +def solve_nT_par(state, nn: int, nT: int, n_e_20: np.ndarray, T_i_keV: np.ndarray): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. """ - Paux = np.empty((nn,nT),dtype=np.float64) - flags = np.zeros((nn,nT),dtype=np.int64) + Paux = np.empty((nn, nT), dtype=np.float64) + flags = np.zeros((nn, nT), dtype=np.int64) for i in nb.prange(nn): for j in nb.prange(nT): - Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) + Paux[i, j], flags[i, j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) return Paux, flags + @nb.njit(parallel=False, cache=True) -def solve_nT(state, nn:int, nT:int, - n_e_20:np.ndarray, T_i_keV:np.ndarray): +def solve_nT(state, nn: int, nT: int, n_e_20: np.ndarray, T_i_keV: np.ndarray): """ Compiling the solver allows for parallelization, as each point in the grid can be solved independently. """ - Paux = np.empty((nn,nT),dtype=np.float64) - flags = np.zeros((nn,nT),dtype=np.int64) + Paux = np.empty((nn, nT), dtype=np.float64) + flags = np.zeros((nn, nT), dtype=np.int64) for i in nb.prange(nn): for j in nb.prange(nT): - Paux[i,j], flags[i,j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) + Paux[i, j], flags[i, j] = P_aux_impfrac(state, n_e_20[i], T_i_keV[j]) return Paux, flags @@ -2185,143 +2775,260 @@ def solve_nT(state, nn:int, nT:int, @nb.njit(parallel=True, cache=True) def populate_outputs_par(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): """ - Compiling this function is handy as it allows for + Compiling this function is handy as it allows for parallelization of the most computationally expensive part of the code. """ rho = state.sqrtpsin line_average_fac = np.average(get_profile(state, rho, 1)) - n_i_20_max = np.empty((Nn,NTi),dtype=np.float64) - n_i_20_avg = np.empty((Nn,NTi),dtype=np.float64) - Pfusion = np.empty((Nn,NTi),dtype=np.float64) - Pfusionheating = np.empty((Nn,NTi),dtype=np.float64) - Pohmic = np.empty((Nn,NTi),dtype=np.float64) - Pbrems = np.empty((Nn,NTi),dtype=np.float64) - Psynch = np.empty((Nn,NTi),dtype=np.float64) - Pimprad = np.empty((Nn,NTi),dtype=np.float64) - Prad = np.empty((Nn,NTi),dtype=np.float64) - Pheat = np.empty((Nn,NTi),dtype=np.float64) - Wtot = np.empty((Nn,NTi),dtype=np.float64) - tauE = np.empty((Nn,NTi),dtype=np.float64) - Pconf = np.empty((Nn,NTi),dtype=np.float64) - Ploss = np.empty((Nn,NTi),dtype=np.float64) - Pdd = np.empty((Nn,NTi),dtype=np.float64) - Pdt = np.empty((Nn,NTi),dtype=np.float64) - Palpha = np.empty((Nn,NTi),dtype=np.float64) - Psol = np.empty((Nn,NTi),dtype=np.float64) - f_rad = np.empty((Nn,NTi),dtype=np.float64) - Q = np.empty((Nn,NTi),dtype=np.float64) - H89 = np.empty((Nn,NTi),dtype=np.float64) - H98 = np.empty((Nn,NTi),dtype=np.float64) - vloop = np.empty((Nn,NTi),dtype=np.float64) - betaN = np.empty((Nn,NTi),dtype=np.float64) + n_i_20_max = np.empty((Nn, NTi), dtype=np.float64) + n_i_20_avg = np.empty((Nn, NTi), dtype=np.float64) + Pfusion = np.empty((Nn, NTi), dtype=np.float64) + Pfusionheating = np.empty((Nn, NTi), dtype=np.float64) + Pohmic = np.empty((Nn, NTi), dtype=np.float64) + Pbrems = np.empty((Nn, NTi), dtype=np.float64) + Psynch = np.empty((Nn, NTi), dtype=np.float64) + Pimprad = np.empty((Nn, NTi), dtype=np.float64) + Prad = np.empty((Nn, NTi), dtype=np.float64) + Pheat = np.empty((Nn, NTi), dtype=np.float64) + Wtot = np.empty((Nn, NTi), dtype=np.float64) + tauE = np.empty((Nn, NTi), dtype=np.float64) + Pconf = np.empty((Nn, NTi), dtype=np.float64) + Ploss = np.empty((Nn, NTi), dtype=np.float64) + Pdd = np.empty((Nn, NTi), dtype=np.float64) + Pdt = np.empty((Nn, NTi), dtype=np.float64) + Palpha = np.empty((Nn, NTi), dtype=np.float64) + Psol = np.empty((Nn, NTi), dtype=np.float64) + f_rad = np.empty((Nn, NTi), dtype=np.float64) + Q = np.empty((Nn, NTi), dtype=np.float64) + H89 = np.empty((Nn, NTi), dtype=np.float64) + H98 = np.empty((Nn, NTi), dtype=np.float64) + vloop = np.empty((Nn, NTi), dtype=np.float64) + betaN = np.empty((Nn, NTi), dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): dil = plasma_dilution(state, T_e_max[j]) - n_i_20_max[i,j] = n_e_20_max[i]*dil - n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V - Pfusion[i,j] = volume_integral(state, rho,_P_fusion(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pfusionheating[i,j] = volume_integral(state, rho,_P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pohmic[i,j] = volume_integral(state, rho,_P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i])) - Pbrems[i,j] = volume_integral(state, rho,_P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i])) - Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) - Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) - Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] - Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] - Psynch[i,j] - Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) - tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - Pconf[i,j] = Wtot[i,j]/tauE[i,j] + n_i_20_max[i, j] = n_e_20_max[i] * dil + n_i_20_avg[i, j] = ( + n_i_20_max[i, j] + * volume_integral(state, rho, get_profile(state, rho, 2)) + / state.V + ) + Pfusion[i, j] = volume_integral( + state, rho, _P_fusion(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pfusionheating[i, j] = volume_integral( + state, rho, _P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pohmic[i, j] = volume_integral( + state, rho, _P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Pbrems[i, j] = volume_integral( + state, rho, _P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Psynch[i, j] = volume_integral( + state, rho, _P_synch(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Pimprad[i, j] = volume_integral( + state, rho, _P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Prad[i, j] = Pbrems[i, j] + Pimprad[i, j] + Psynch[i, j] + Pheat[i, j] = ( + Pfusionheating[i, j] + + Pohmic[i, j] + + Paux[i, j] + - Pbrems[i, j] + - Psynch[i, j] + ) + Wtot[i, j] = volume_integral( + state, rho, _W_tot_prof(state, rho, T_i_max[j], n_e_20_max[i]) + ) + tauE[i, j] = tauE_scalinglaw( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + Pconf[i, j] = Wtot[i, j] / tauE[i, j] # Ploss is all power leaving the plasma. Pconf is the transport loss the # scaling law predicts; brems and synch were removed before it (see the # solver's Pheat), so add them back for the total. Psol = Ploss - Prad # then leaves Pconf - Pimprad, the power reaching the divertor. - Ploss[i,j] = Pconf[i,j] + Pbrems[i,j] + Psynch[i,j] - Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Palpha[i,j] = Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) - Psol[i,j] = Ploss[i,j] - Prad[i,j] - f_rad[i,j] = Prad[i,j] / Ploss[i,j] - Q[i,j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i,j]) - H89[i,j] = tauE[i,j]/tauE_H89(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - H98[i,j] = tauE[i,j]/tauE_H98(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - vloop[i,j] = Vloop(state, T_e_max[j], n_e_20_max[i]) - betaN[i,j] = 100*BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent - return ComputedOutputs(n_i_20_max, n_i_20_avg, Pfusion, Pfusionheating, Pohmic, - Pbrems, Psynch, Pimprad, Prad, Pheat, Wtot, tauE, - Pconf, Ploss, Pdd, Pdt, Palpha, Psol, f_rad, Q, - H89, H98, vloop, betaN) + Ploss[i, j] = Pconf[i, j] + Pbrems[i, j] + Psynch[i, j] + Pdd[i, j] = volume_integral( + state, rho, _P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pdd[i, j] += volume_integral( + state, rho, _P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pdt[i, j] = volume_integral( + state, rho, _P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Palpha[i, j] = Pdt[i, j] * 3.52e3 / (3.52e3 + 14.06e3) + Psol[i, j] = Ploss[i, j] - Prad[i, j] + f_rad[i, j] = Prad[i, j] / Ploss[i, j] + Q[i, j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i, j]) + H89[i, j] = tauE[i, j] / tauE_H89( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + H98[i, j] = tauE[i, j] / tauE_H98( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + vloop[i, j] = Vloop(state, T_e_max[j], n_e_20_max[i]) + betaN[i, j] = 100 * BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent + return ComputedOutputs( + n_i_20_max, + n_i_20_avg, + Pfusion, + Pfusionheating, + Pohmic, + Pbrems, + Psynch, + Pimprad, + Prad, + Pheat, + Wtot, + tauE, + Pconf, + Ploss, + Pdd, + Pdt, + Palpha, + Psol, + f_rad, + Q, + H89, + H98, + vloop, + betaN, + ) @nb.njit(parallel=False, cache=True) def populate_outputs(state, n_e_20_max, T_i_max, T_e_max, Paux, Nn, NTi): """ - Compiling this function is handy as it allows for + Compiling this function is handy as it allows for parallelization of the most computationally expensive part of the code. """ rho = state.sqrtpsin line_average_fac = np.average(get_profile(state, rho, 1)) - n_i_20_max = np.empty((Nn,NTi),dtype=np.float64) - n_i_20_avg = np.empty((Nn,NTi),dtype=np.float64) - Pfusion = np.empty((Nn,NTi),dtype=np.float64) - Pfusionheating = np.empty((Nn,NTi),dtype=np.float64) - Pohmic = np.empty((Nn,NTi),dtype=np.float64) - Pbrems = np.empty((Nn,NTi),dtype=np.float64) - Psynch = np.empty((Nn,NTi),dtype=np.float64) - Pimprad = np.empty((Nn,NTi),dtype=np.float64) - Prad = np.empty((Nn,NTi),dtype=np.float64) - Pheat = np.empty((Nn,NTi),dtype=np.float64) - Wtot = np.empty((Nn,NTi),dtype=np.float64) - tauE = np.empty((Nn,NTi),dtype=np.float64) - Pconf = np.empty((Nn,NTi),dtype=np.float64) - Ploss = np.empty((Nn,NTi),dtype=np.float64) - Pdd = np.empty((Nn,NTi),dtype=np.float64) - Pdt = np.empty((Nn,NTi),dtype=np.float64) - Palpha = np.empty((Nn,NTi),dtype=np.float64) - Psol = np.empty((Nn,NTi),dtype=np.float64) - f_rad = np.empty((Nn,NTi),dtype=np.float64) - Q = np.empty((Nn,NTi),dtype=np.float64) - H89 = np.empty((Nn,NTi),dtype=np.float64) - H98 = np.empty((Nn,NTi),dtype=np.float64) - vloop = np.empty((Nn,NTi),dtype=np.float64) - betaN = np.empty((Nn,NTi),dtype=np.float64) + n_i_20_max = np.empty((Nn, NTi), dtype=np.float64) + n_i_20_avg = np.empty((Nn, NTi), dtype=np.float64) + Pfusion = np.empty((Nn, NTi), dtype=np.float64) + Pfusionheating = np.empty((Nn, NTi), dtype=np.float64) + Pohmic = np.empty((Nn, NTi), dtype=np.float64) + Pbrems = np.empty((Nn, NTi), dtype=np.float64) + Psynch = np.empty((Nn, NTi), dtype=np.float64) + Pimprad = np.empty((Nn, NTi), dtype=np.float64) + Prad = np.empty((Nn, NTi), dtype=np.float64) + Pheat = np.empty((Nn, NTi), dtype=np.float64) + Wtot = np.empty((Nn, NTi), dtype=np.float64) + tauE = np.empty((Nn, NTi), dtype=np.float64) + Pconf = np.empty((Nn, NTi), dtype=np.float64) + Ploss = np.empty((Nn, NTi), dtype=np.float64) + Pdd = np.empty((Nn, NTi), dtype=np.float64) + Pdt = np.empty((Nn, NTi), dtype=np.float64) + Palpha = np.empty((Nn, NTi), dtype=np.float64) + Psol = np.empty((Nn, NTi), dtype=np.float64) + f_rad = np.empty((Nn, NTi), dtype=np.float64) + Q = np.empty((Nn, NTi), dtype=np.float64) + H89 = np.empty((Nn, NTi), dtype=np.float64) + H98 = np.empty((Nn, NTi), dtype=np.float64) + vloop = np.empty((Nn, NTi), dtype=np.float64) + betaN = np.empty((Nn, NTi), dtype=np.float64) for i in nb.prange(Nn): for j in nb.prange(NTi): dil = plasma_dilution(state, T_e_max[j]) - n_i_20_max[i,j] = n_e_20_max[i]*dil - n_i_20_avg[i,j] = n_i_20_max[i,j]*volume_integral(state, rho,get_profile(state, rho, 2))/state.V - Pfusion[i,j] = volume_integral(state, rho,_P_fusion(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pfusionheating[i,j] = volume_integral(state, rho,_P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pohmic[i,j] = volume_integral(state, rho,_P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i])) - Pbrems[i,j] = volume_integral(state, rho,_P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i])) - Psynch[i,j] = volume_integral(state, rho,_P_synch(state, rho, T_e_max[j], n_e_20_max[i])) - Pimprad[i,j] = volume_integral(state, rho,_P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i])) - Prad[i,j] = Pbrems[i,j] + Pimprad[i,j] + Psynch[i,j] - Pheat[i,j] = Pfusionheating[i,j] + Pohmic[i,j] + Paux[i,j] - Pbrems[i,j] - Psynch[i,j] - Wtot[i,j] = volume_integral(state, rho,_W_tot_prof(state, rho,T_i_max[j],n_e_20_max[i])) - tauE[i,j] = tauE_scalinglaw(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - Pconf[i,j] = Wtot[i,j]/tauE[i,j] + n_i_20_max[i, j] = n_e_20_max[i] * dil + n_i_20_avg[i, j] = ( + n_i_20_max[i, j] + * volume_integral(state, rho, get_profile(state, rho, 2)) + / state.V + ) + Pfusion[i, j] = volume_integral( + state, rho, _P_fusion(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pfusionheating[i, j] = volume_integral( + state, rho, _P_fusion_heating(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pohmic[i, j] = volume_integral( + state, rho, _P_OH_prof(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Pbrems[i, j] = volume_integral( + state, rho, _P_brem_rad(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Psynch[i, j] = volume_integral( + state, rho, _P_synch(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Pimprad[i, j] = volume_integral( + state, rho, _P_impurity_rad(state, rho, T_e_max[j], n_e_20_max[i]) + ) + Prad[i, j] = Pbrems[i, j] + Pimprad[i, j] + Psynch[i, j] + Pheat[i, j] = ( + Pfusionheating[i, j] + + Pohmic[i, j] + + Paux[i, j] + - Pbrems[i, j] + - Psynch[i, j] + ) + Wtot[i, j] = volume_integral( + state, rho, _W_tot_prof(state, rho, T_i_max[j], n_e_20_max[i]) + ) + tauE[i, j] = tauE_scalinglaw( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + Pconf[i, j] = Wtot[i, j] / tauE[i, j] # Ploss is all power leaving the plasma. Pconf is the transport loss the # scaling law predicts; brems and synch were removed before it (see the # solver's Pheat), so add them back for the total. Psol = Ploss - Prad # then leaves Pconf - Pimprad, the power reaching the divertor. - Ploss[i,j] = Pconf[i,j] + Pbrems[i,j] + Psynch[i,j] - Pdd[i,j] = volume_integral(state, rho,_P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pdd[i,j] += volume_integral(state, rho,_P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Pdt[i,j] = volume_integral(state, rho,_P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i,j])) - Palpha[i,j] = Pdt[i,j] * 3.52e3/(3.52e3 + 14.06e3) - Psol[i,j] = Ploss[i,j] - Prad[i,j] - f_rad[i,j] = Prad[i,j] / Ploss[i,j] - Q[i,j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i,j]) - H89[i,j] = tauE[i,j]/tauE_H89(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - H98[i,j] = tauE[i,j]/tauE_H98(state, Pheat[i,j], n_e_20_max[i]*line_average_fac) - vloop[i,j] = Vloop(state, T_e_max[j], n_e_20_max[i]) - betaN[i,j] = 100*BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent - return ComputedOutputs(n_i_20_max, n_i_20_avg, Pfusion, Pfusionheating, Pohmic, - Pbrems, Psynch, Pimprad, Prad, Pheat, Wtot, tauE, - Pconf, Ploss, Pdd, Pdt, Palpha, Psol, f_rad, Q, - H89, H98, vloop, betaN) + Ploss[i, j] = Pconf[i, j] + Pbrems[i, j] + Psynch[i, j] + Pdd[i, j] = volume_integral( + state, rho, _P_DDnHe3_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pdd[i, j] += volume_integral( + state, rho, _P_DDpT_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Pdt[i, j] = volume_integral( + state, rho, _P_DTnHe4_prof(state, rho, T_i_max[j], n_i_20_max[i, j]) + ) + Palpha[i, j] = Pdt[i, j] * 3.52e3 / (3.52e3 + 14.06e3) + Psol[i, j] = Ploss[i, j] - Prad[i, j] + f_rad[i, j] = Prad[i, j] / Ploss[i, j] + Q[i, j] = Q_fusion(state, T_i_max[j], n_e_20_max[i], Paux[i, j]) + H89[i, j] = tauE[i, j] / tauE_H89( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + H98[i, j] = tauE[i, j] / tauE_H98( + state, Pheat[i, j], n_e_20_max[i] * line_average_fac + ) + vloop[i, j] = Vloop(state, T_e_max[j], n_e_20_max[i]) + betaN[i, j] = 100 * BetaN(state, T_i_max[j], n_e_20_max[i]) # in percent + return ComputedOutputs( + n_i_20_max, + n_i_20_avg, + Pfusion, + Pfusionheating, + Pohmic, + Pbrems, + Psynch, + Pimprad, + Prad, + Pheat, + Wtot, + tauE, + Pconf, + Ploss, + Pdd, + Pdt, + Palpha, + Psol, + f_rad, + Q, + H89, + H98, + vloop, + betaN, + ) + class POPCON_scan(POPCON): """ @@ -2329,6 +3036,7 @@ class POPCON_scan(POPCON): Placeholder class for running scans. Inherits from POPCON. """ + def __init__(self) -> None: self.datas: list self.algorithms_list: list[POPCON_algorithms] diff --git a/openpopcon/lib/neat_json_encoder.py b/openpopcon/lib/neat_json_encoder.py index 12bfb41..a760d58 100644 --- a/openpopcon/lib/neat_json_encoder.py +++ b/openpopcon/lib/neat_json_encoder.py @@ -2,11 +2,12 @@ import numpy as np import json -#----------------------------------------------------------------------- +# ----------------------------------------------------------------------- # Taken from https://gist.github.com/jannismain/e96666ca4f059c3e5bc28abb711b5c92 # and modified to print numpy arrays in a more readable way. The original # code was written by Jannis Mainczyk and is licensed under the MIT license. -#----------------------------------------------------------------------- +# ----------------------------------------------------------------------- + class CompactJSONEncoder(json.JSONEncoder): """A JSON Encoder that puts small containers on single lines.""" @@ -48,7 +49,7 @@ def encode(self, o): separators=(self.item_separator, self.key_separator), default=self.default if hasattr(self, "default") else None, ) - + def _encode_array(self, o): if len(list(o.shape)) == 1: return self._encode_1d_array(o) @@ -56,15 +57,18 @@ def _encode_array(self, o): return self._encode_2d_array(o) else: return self._encode_list(o.tolist()) + def _encode_1d_array(self, o): # Always put 1D arrays on a single line return "[" + ", ".join(self.encode(el) for el in o) + "]" + def _encode_2d_array(self, o): # Always put 2D arrays on multiple lines self.indentation_level += 1 output = [self.indent_str + self.encode(row) for row in o] self.indentation_level -= 1 return "[\n" + ",\n".join(output) + "\n" + self.indent_str + "]" + def _encode_list(self, o): if self._put_on_single_line(o): return "[" + ", ".join(self.encode(el) for el in o) + "]" @@ -126,4 +130,4 @@ def indent_str(self) -> str: else: raise ValueError( f"indent must either be of type int or str (is: {type(self.indent)})" - ) \ No newline at end of file + ) diff --git a/openpopcon/lib/openpopcon_util.py b/openpopcon/lib/openpopcon_util.py index 295c85a..c580df4 100644 --- a/openpopcon/lib/openpopcon_util.py +++ b/openpopcon/lib/openpopcon_util.py @@ -9,18 +9,19 @@ from matplotlib.path import Path from scipy.interpolate import RectBivariateSpline as RBS + def yaml_edit(filename, key, value) -> None: - with open(filename, 'r') as f: + with open(filename, "r") as f: lines = f.readlines() for i, line in enumerate(lines): - if line.strip(' ').startswith(key): - ind = line.find(':') - lines[i] = lines[i][:ind+1] + ' ' + str(value) + '\n' + if line.strip(" ").startswith(key): + ind = line.find(":") + lines[i] = lines[i][: ind + 1] + " " + str(value) + "\n" break - - with open(filename, 'w') as f: + + with open(filename, "w") as f: f.writelines(lines) - + return @@ -30,11 +31,12 @@ def package_resource(*parts) -> str: package_resource('scalinglaws.yml'). Returned as a str because callers hand these to os.path.abspath and shutil.copyfile. """ - path = importlib.resources.files('openpopcon').joinpath('resources', *parts) + path = importlib.resources.files("openpopcon").joinpath("resources", *parts) if not path.is_file(): raise FileNotFoundError( f"Packaged resource {os.sep.join(parts)!r} is missing from {path}. " - "This usually means the package was installed without its data files.") + "This usually means the package was installed without its data files." + ) return str(path) @@ -42,7 +44,7 @@ def list_examples() -> list: """ Names of the worked examples shipped with the package. """ - exdir = importlib.resources.files('openpopcon').joinpath('resources', 'examples') + exdir = importlib.resources.files("openpopcon").joinpath("resources", "examples") return sorted(p.name for p in exdir.iterdir() if p.is_dir()) @@ -53,24 +55,28 @@ def example_dir(name: str) -> str: These are read-only once installed. Use `openpopcon examples

` to get an editable copy. """ - exdir = importlib.resources.files('openpopcon').joinpath('resources', 'examples', name) + exdir = importlib.resources.files("openpopcon").joinpath( + "resources", "examples", name + ) if not exdir.is_dir(): raise FileNotFoundError( - f"No example named {name!r}. Available: {', '.join(list_examples())}.") + f"No example named {name!r}. Available: {', '.join(list_examples())}." + ) return str(exdir) + def read_eqdsk(filename): - ''' Taken from OpenFUSION toolkit. Perhaps do an import instead? - ''' + """Taken from OpenFUSION toolkit. Perhaps do an import instead?""" + def read_1d(fid, n): j = 0 output = np.zeros((n,)) for i in range(n): if j == 0: line = fid.readline() - output[i] = line[j:j+16] + output[i] = line[j : j + 16] j += 16 - if j == 16*5: + if j == 16 * 5: j = 0 return output @@ -81,74 +87,83 @@ def read_2d(fid, n, m): for i in range(m): if j == 0: line = fid.readline() - output[k, i] = line[j:j+16] + output[k, i] = line[j : j + 16] j += 16 - if j == 16*5: + if j == 16 * 5: j = 0 return output + # Read-in data eqdsk_obj = {} - with open(filename, 'r') as fid: + with open(filename, "r") as fid: # Get sizes line = fid.readline() - eqdsk_obj['case'] = line[:48] + eqdsk_obj["case"] = line[:48] split_line = line[48:].split() - eqdsk_obj['nr'] = int(split_line[-2]) - eqdsk_obj['nz'] = int(split_line[-1]) + eqdsk_obj["nr"] = int(split_line[-2]) + eqdsk_obj["nz"] = int(split_line[-1]) # Read header content - line_keys = [['rdim', 'zdim', 'rcentr', 'rleft', 'zmid'], - ['raxis', 'zaxis', 'psimag', 'psibry', 'bcentr'], - ['ip', 'skip', 'skip', 'skip', 'skip'], - ['skip', 'skip', 'skip', 'skip', 'skip']] + line_keys = [ + ["rdim", "zdim", "rcentr", "rleft", "zmid"], + ["raxis", "zaxis", "psimag", "psibry", "bcentr"], + ["ip", "skip", "skip", "skip", "skip"], + ["skip", "skip", "skip", "skip", "skip"], + ] for i in range(4): line = fid.readline() for j in range(5): - if line_keys[i][j] == 'skip': + if line_keys[i][j] == "skip": continue - line_seg = line[j*16:(j+1)*16] + line_seg = line[j * 16 : (j + 1) * 16] eqdsk_obj[line_keys[i][j]] = float(line_seg) # Read flux profiles - keys = ['fpol', 'pres', 'ffprim', 'pprime'] + keys = ["fpol", "pres", "ffprim", "pprime"] for key in keys: - eqdsk_obj[key] = read_1d(fid, eqdsk_obj['nr']) + eqdsk_obj[key] = read_1d(fid, eqdsk_obj["nr"]) # Read PSI grid - eqdsk_obj['psirz'] = read_2d(fid, eqdsk_obj['nz'], - eqdsk_obj['nr']) + eqdsk_obj["psirz"] = read_2d(fid, eqdsk_obj["nz"], eqdsk_obj["nr"]) # Read q-profile - eqdsk_obj['qpsi'] = read_1d(fid, eqdsk_obj['nr']) + eqdsk_obj["qpsi"] = read_1d(fid, eqdsk_obj["nr"]) # Read limiter count line = fid.readline() - eqdsk_obj['nbbs'] = int(line.split()[0]) - eqdsk_obj['nlim'] = int(line.split()[1]) + eqdsk_obj["nbbs"] = int(line.split()[0]) + eqdsk_obj["nlim"] = int(line.split()[1]) # Read outer flux surface - eqdsk_obj['rzout'] = read_2d(fid, eqdsk_obj['nbbs'], 2) + eqdsk_obj["rzout"] = read_2d(fid, eqdsk_obj["nbbs"], 2) # Read limiting corners - eqdsk_obj['rzlim'] = read_2d(fid, eqdsk_obj['nlim'], 2) - - R = np.linspace(eqdsk_obj['rleft'], - eqdsk_obj['rleft'] + eqdsk_obj['rdim'], - eqdsk_obj['nr']) - - Z = np.linspace(eqdsk_obj['zmid'] - eqdsk_obj['zdim']/2, - eqdsk_obj['zmid'] + eqdsk_obj['zdim']/2, - eqdsk_obj['nz']) - - eqdsk_obj['R'], eqdsk_obj['Z'] = np.meshgrid(R, Z) + eqdsk_obj["rzlim"] = read_2d(fid, eqdsk_obj["nlim"], 2) + + R = np.linspace( + eqdsk_obj["rleft"], eqdsk_obj["rleft"] + eqdsk_obj["rdim"], eqdsk_obj["nr"] + ) + + Z = np.linspace( + eqdsk_obj["zmid"] - eqdsk_obj["zdim"] / 2, + eqdsk_obj["zmid"] + eqdsk_obj["zdim"] / 2, + eqdsk_obj["nz"], + ) + + eqdsk_obj["R"], eqdsk_obj["Z"] = np.meshgrid(R, Z) # Toroidal field from B_t = F(psi)/R, which shows the dia/paramagnetism # of the plasma. np.interp clamps outside the flux range, so this falls # back to the vacuum field F_edge/R = bcentr*rcentr/R outside the LCFS. - psi1d = np.linspace(eqdsk_obj['psimag'], eqdsk_obj['psibry'], eqdsk_obj['nr']) - fluxorder = slice(None, None, 1 - 2*(eqdsk_obj['psimag'] > eqdsk_obj['psibry'])) - fpolrz = np.interp(eqdsk_obj['psirz'], psi1d[fluxorder], eqdsk_obj['fpol'][fluxorder]) - eqdsk_obj['Bt_rz'] = fpolrz / eqdsk_obj['R'] - - dpsidZ, dpsidR = np.gradient(eqdsk_obj['psirz'], Z, R) - eqdsk_obj['Br_rz'] = -dpsidZ / eqdsk_obj['R'] - eqdsk_obj['Bz_rz'] = dpsidR / eqdsk_obj['R'] + psi1d = np.linspace(eqdsk_obj["psimag"], eqdsk_obj["psibry"], eqdsk_obj["nr"]) + fluxorder = slice( + None, None, 1 - 2 * (eqdsk_obj["psimag"] > eqdsk_obj["psibry"]) + ) + fpolrz = np.interp( + eqdsk_obj["psirz"], psi1d[fluxorder], eqdsk_obj["fpol"][fluxorder] + ) + eqdsk_obj["Bt_rz"] = fpolrz / eqdsk_obj["R"] + + dpsidZ, dpsidR = np.gradient(eqdsk_obj["psirz"], Z, R) + eqdsk_obj["Br_rz"] = -dpsidZ / eqdsk_obj["R"] + eqdsk_obj["Bz_rz"] = dpsidR / eqdsk_obj["R"] return eqdsk_obj + def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50): """ Calculates the flux surface volumes and areas from the gEQDSK object. @@ -169,16 +184,17 @@ def get_fluxvolumes(gEQDSK: dict, Npsi: int = 50): z = contour[:, 1] # Volume of revolution about R=0. # V = (pi/3) sum (r_i + r_{i+1})(r_i z_{i+1} - r_{i+1} z_i). - cross = r[:-1]*z[1:] - r[1:]*z[:-1] - Volgrid[icontour] = np.abs(np.pi/3 * np.sum((r[:-1] + r[1:])*cross)) + cross = r[:-1] * z[1:] - r[1:] * z[:-1] + Volgrid[icontour] = np.abs(np.pi / 3 * np.sum((r[:-1] + r[1:]) * cross)) # Get the surface area of the flux surface d = np.diff(contour, axis=0) - ds = np.sqrt(d[:, 0]**2 + d[:, 1]**2) - Agrid[icontour] = np.trapezoid(2*np.pi*contour[:-1,0] * ds, axis=0) + ds = np.sqrt(d[:, 0] ** 2 + d[:, 1] ** 2) + Agrid[icontour] = np.trapezoid(2 * np.pi * contour[:-1, 0] * ds, axis=0) return psin, Volgrid, Agrid, closed_fluxsurfaces -def get_trapped_particle_fraction(gEQDSK: dict, Npsi: int=50): + +def get_trapped_particle_fraction(gEQDSK: dict, Npsi: int = 50): """ Trapped particle fraction on each flux surface. @@ -189,20 +205,20 @@ def get_trapped_particle_fraction(gEQDSK: dict, Npsi: int=50): """ psin, closed_fluxsurfaces = get_contours(gEQDSK, Npsi) - Bt_interp = RBS(gEQDSK['R'][0,:], gEQDSK['Z'][:,0], gEQDSK['Bt_rz'].T) - Br_interp = RBS(gEQDSK['R'][0,:], gEQDSK['Z'][:,0], gEQDSK['Br_rz'].T) - Bz_interp = RBS(gEQDSK['R'][0,:], gEQDSK['Z'][:,0], gEQDSK['Bz_rz'].T) + Bt_interp = RBS(gEQDSK["R"][0, :], gEQDSK["Z"][:, 0], gEQDSK["Bt_rz"].T) + Br_interp = RBS(gEQDSK["R"][0, :], gEQDSK["Z"][:, 0], gEQDSK["Br_rz"].T) + Bz_interp = RBS(gEQDSK["R"][0, :], gEQDSK["Z"][:, 0], gEQDSK["Bz_rz"].T) ft_lower = np.zeros(len(psin)) ft_upper = np.zeros(len(psin)) for i, psi in enumerate(psin): contour = closed_fluxsurfaces[i] - ri = contour[:,0] - zi = contour[:,1] - rmid = 0.5*(ri[1:]+ri[:-1]) - zmid = 0.5*(zi[1:]+zi[:-1]) - lengths = np.sqrt(np.diff(ri)**2 + np.diff(zi)**2) + ri = contour[:, 0] + zi = contour[:, 1] + rmid = 0.5 * (ri[1:] + ri[:-1]) + zmid = 0.5 * (zi[1:] + zi[:-1]) + lengths = np.sqrt(np.diff(ri) ** 2 + np.diff(zi) ** 2) Bt = Bt_interp(rmid, zmid, grid=False) Br = Br_interp(rmid, zmid, grid=False) @@ -211,97 +227,110 @@ def get_trapped_particle_fraction(gEQDSK: dict, Npsi: int=50): B2 = Bt**2 + Bp2 B = np.sqrt(B2) Bmax = np.max(B) - b = B/Bmax - + b = B / Bmax Bpol = np.sqrt(Bp2) - Bpol = np.maximum(Bpol, 1e-6*np.max(Bpol)) - weights = lengths/Bpol + Bpol = np.maximum(Bpol, 1e-6 * np.max(Bpol)) + weights = lengths / Bpol totalweight = np.sum(weights) - avg = lambda x: np.sum(weights*x)/totalweight + avg = lambda x: np.sum(weights * x) / totalweight - h = avg(B)/Bmax - h2 = avg(B2)/Bmax**2 + h = avg(B) / Bmax + h2 = avg(B2) / Bmax**2 # Lin-Liu & Miller eq. 4 (upper bound) and eq. 7 (lower bound) - ft_upper[i] = 1 - h2/h**2 * (1 - np.sqrt(1-h)*(1 + 0.5*h)) - ft_lower[i] = 1 - h2 * avg((1 - np.sqrt(1-b)*(1 + b/2))/b**2) + ft_upper[i] = 1 - h2 / h**2 * (1 - np.sqrt(1 - h) * (1 + 0.5 * h)) + ft_lower[i] = 1 - h2 * avg((1 - np.sqrt(1 - b) * (1 + b / 2)) / b**2) # Lin-Liu & Miller eqs. 18-19 - f = 0.75*ft_upper + 0.25*ft_lower + f = 0.75 * ft_upper + 0.25 * ft_lower return psin, f + def _polygon_area(contour): r = contour[:, 0] z = contour[:, 1] - return np.abs(np.sum(r[:-1]*z[1:] - r[1:]*z[:-1])/2) + return np.abs(np.sum(r[:-1] * z[1:] - r[1:] * z[:-1]) / 2) + -def get_contours(gEQDSK: dict, Npsi: int=50): +def get_contours(gEQDSK: dict, Npsi: int = 50): """ Traces the closed flux surface enclosing the magnetic axis at each of Npsi normalized flux levels. Returns exactly one contour per level, so that closed_fluxsurfaces[i] always corresponds to psin[i]. """ - rs = np.linspace(gEQDSK['rleft'], - gEQDSK['rleft'] + gEQDSK['rdim'], - gEQDSK['psirz'].shape[1]) - zs = np.linspace(gEQDSK['zmid'] - gEQDSK['zdim']/2, - gEQDSK['zmid'] + gEQDSK['zdim']/2, - gEQDSK['psirz'].shape[0]) - raxi = np.argmin(np.abs(rs - gEQDSK['raxis'])) - zaxi = np.argmin(np.abs(zs - gEQDSK['zaxis'])) - psi_axis = gEQDSK['psirz'][zaxi, raxi] - fluxes = (gEQDSK['psirz'] - psi_axis)/(gEQDSK['psibry'] - psi_axis) + rs = np.linspace( + gEQDSK["rleft"], gEQDSK["rleft"] + gEQDSK["rdim"], gEQDSK["psirz"].shape[1] + ) + zs = np.linspace( + gEQDSK["zmid"] - gEQDSK["zdim"] / 2, + gEQDSK["zmid"] + gEQDSK["zdim"] / 2, + gEQDSK["psirz"].shape[0], + ) + raxi = np.argmin(np.abs(rs - gEQDSK["raxis"])) + zaxi = np.argmin(np.abs(zs - gEQDSK["zaxis"])) + psi_axis = gEQDSK["psirz"][zaxi, raxi] + fluxes = (gEQDSK["psirz"] - psi_axis) / (gEQDSK["psibry"] - psi_axis) cgen = cntr.contour_generator(x=rs, y=zs, z=fluxes) - psin = np.linspace(0.001, 1, Npsi)**2 - axis_point = (gEQDSK['raxis'], gEQDSK['zaxis']) + psin = np.linspace(0.001, 1, Npsi) ** 2 + axis_point = (gEQDSK["raxis"], gEQDSK["zaxis"]) closed_fluxsurfaces = [] for level in psin: segset = [seg for seg in cgen.create_contour(level) if len(seg) > 2] if len(segset) == 0: - raise ValueError(f'No flux surface contour found at psin={level}') + raise ValueError(f"No flux surface contour found at psin={level}") enclosing = [seg for seg in segset if Path(seg).contains_point(axis_point)] if len(enclosing) != 0: chosen = min(enclosing, key=_polygon_area) else: - chosen = min(segset, key=lambda seg: np.hypot(np.mean(seg[:, 0])-axis_point[0], - np.mean(seg[:, 1])-axis_point[1])) + chosen = min( + segset, + key=lambda seg: np.hypot( + np.mean(seg[:, 0]) - axis_point[0], + np.mean(seg[:, 1]) - axis_point[1], + ), + ) closed_fluxsurfaces.append(chosen) return psin, closed_fluxsurfaces -def get_current_density(gEQDSK: dict, Npsi: int=50): + +def get_current_density(gEQDSK: dict, Npsi: int = 50): """ Flux surface averaged current densities from a gEQDSK, in A/m^2. """ - mu0 = 4e-7*np.pi + mu0 = 4e-7 * np.pi # psirz has shape (nz, nr): axis 0 is Z, axis 1 is R - nz, nr = np.shape(gEQDSK['psirz']) - zs = np.linspace(gEQDSK['zmid']-0.5*gEQDSK['zdim'], gEQDSK['zmid']+0.5*gEQDSK['zdim'], nz) - rs = np.linspace(gEQDSK['rleft'], gEQDSK['rleft']+gEQDSK['rdim'], nr) - psirz = gEQDSK['psirz'] + nz, nr = np.shape(gEQDSK["psirz"]) + zs = np.linspace( + gEQDSK["zmid"] - 0.5 * gEQDSK["zdim"], gEQDSK["zmid"] + 0.5 * gEQDSK["zdim"], nz + ) + rs = np.linspace(gEQDSK["rleft"], gEQDSK["rleft"] + gEQDSK["rdim"], nr) + psirz = gEQDSK["psirz"] RR, _ = np.meshgrid(rs, zs) psin, fs = get_contours(gEQDSK, Npsi) - ffp = np.asarray(gEQDSK['ffprim']) - psi = np.linspace(gEQDSK['psimag'],gEQDSK['psibry'],np.shape(ffp)[0]) - reverse = gEQDSK['psimag'] > gEQDSK['psibry'] - fluxorder = slice(None, None, 1-2*reverse) - fprimrz = np.interp(psirz, psi[fluxorder], np.gradient(gEQDSK['fpol'][fluxorder], psi[fluxorder])) - ffprz = np.interp(psirz, psi[fluxorder], gEQDSK['ffprim'][fluxorder]) - pprz = np.interp(psirz, psi[fluxorder], gEQDSK['pprime'][fluxorder]) + ffp = np.asarray(gEQDSK["ffprim"]) + psi = np.linspace(gEQDSK["psimag"], gEQDSK["psibry"], np.shape(ffp)[0]) + reverse = gEQDSK["psimag"] > gEQDSK["psibry"] + fluxorder = slice(None, None, 1 - 2 * reverse) + fprimrz = np.interp( + psirz, psi[fluxorder], np.gradient(gEQDSK["fpol"][fluxorder], psi[fluxorder]) + ) + ffprz = np.interp(psirz, psi[fluxorder], gEQDSK["ffprim"][fluxorder]) + pprz = np.interp(psirz, psi[fluxorder], gEQDSK["pprime"][fluxorder]) dpsidZ, dpsidR = np.gradient(psirz, zs, rs) - B_pol = np.sqrt(dpsidR**2 + dpsidZ**2)/RR + B_pol = np.sqrt(dpsidR**2 + dpsidZ**2) / RR # mu0*J_pol = F'(psi)*B_pol - jpolrz = fprimrz*B_pol/mu0 + jpolrz = fprimrz * B_pol / mu0 # Grad-Shafranov, Delta*psi = -mu0*R^2*p' - FF', combined with # Delta*psi = -mu0*R*J_tor - jtorrz = -(RR*pprz + ffprz/(mu0*RR)) + jtorrz = -(RR * pprz + ffprz / (mu0 * RR)) jtot = np.sqrt(jpolrz**2 + jtorrz**2) jtotspline = RBS(zs, rs, jtot) @@ -313,27 +342,30 @@ def get_current_density(gEQDSK: dict, Npsi: int=50): cross_sec_areas = np.zeros(len(fs)) for i, level in enumerate(psin): contour = fs[i] - ri = contour[:,0] - zi = contour[:,1] - rmid = 0.5*(ri[1:]+ri[:-1]) - zmid = 0.5*(zi[1:]+zi[:-1]) - lengths = np.sqrt(np.diff(ri)**2 + np.diff(zi)**2) + ri = contour[:, 0] + zi = contour[:, 1] + rmid = 0.5 * (ri[1:] + ri[:-1]) + zmid = 0.5 * (zi[1:] + zi[:-1]) + lengths = np.sqrt(np.diff(ri) ** 2 + np.diff(zi) ** 2) Bpol_c = np.abs(Bpolspline.ev(zmid, rmid)) - Bpol_c = np.maximum(Bpol_c, 1e-6*np.max(Bpol_c)) - weights = lengths/Bpol_c + Bpol_c = np.maximum(Bpol_c, 1e-6 * np.max(Bpol_c)) + weights = lengths / Bpol_c totalweight = np.sum(weights) # Root mean square of the current density since OH Power is ~ J^2 - javgrms[i] = np.sqrt(np.sum(weights*jtotspline.ev(zmid, rmid)**2)/totalweight) - jtoravg[i] = np.sum(weights*jtorspline.ev(zmid, rmid))/totalweight + javgrms[i] = np.sqrt( + np.sum(weights * jtotspline.ev(zmid, rmid) ** 2) / totalweight + ) + jtoravg[i] = np.sum(weights * jtorspline.ev(zmid, rmid)) / totalweight dr = np.diff(ri) dz = np.diff(zi) - cross_sec_areas[i] = np.abs(np.sum(rmid*dz - zmid*dr)/2) - + cross_sec_areas[i] = np.abs(np.sum(rmid * dz - zmid * dr) / 2) + return psin, javgrms, jtoravg, cross_sec_areas + def read_profsfile(filename): - with open(filename, 'r') as f: + with open(filename, "r") as f: reader = csv.reader(f) header = next(reader) profstable = {} @@ -342,25 +374,26 @@ def read_profsfile(filename): for row in reader: for h, v in zip(header, row): profstable[h].append(v) - + for k in profstable.keys(): profstable[k] = np.asarray(profstable[k], dtype=np.float64) - if 'rho' not in profstable and 'r' not in profstable: - if 'psi' not in profstable: - raise ValueError('No rho, r or psi in profile file') + if "rho" not in profstable and "r" not in profstable: + if "psi" not in profstable: + raise ValueError("No rho, r or psi in profile file") else: - profstable['rho'] = np.sqrt(np.asarray(profstable['psi'], dtype=np.float64)) - elif 'rho' not in profstable: - profstable['rho'] = profstable['r'] + profstable["rho"] = np.sqrt(np.asarray(profstable["psi"], dtype=np.float64)) + elif "rho" not in profstable: + profstable["rho"] = profstable["r"] return profstable + def safe_get(unsafe_dict, key, default=None): if key in unsafe_dict: return unsafe_dict[key] else: return default - + def conditional_njit(enable, **kwargs): def dec(func): @@ -368,4 +401,5 @@ def dec(func): return nb.njit(**kwargs)(func) else: return func - return dec \ No newline at end of file + + return dec diff --git a/openpopcon/lib/phys_lib.py b/openpopcon/lib/phys_lib.py index 2eb52b2..06f03d1 100644 --- a/openpopcon/lib/phys_lib.py +++ b/openpopcon/lib/phys_lib.py @@ -10,411 +10,427 @@ TODO: Add D-He3 reaction to cross section / reactivity. """ + @nb.njit(cache=True) def get_Zeffs(T_e_keV): - """ - Function to obtain Zeff for each impurity, from Mavrin 2018. - """ + """ + Function to obtain Zeff for each impurity, from Mavrin 2018. + """ + + # Formulas valid only for region of validity: 0.1 <= T_e_keV <= 100 + # if T_e_keV < 0.1 or T_e_keV > 100: + # print('Warning: T_e_keV =',T_e_keV,'out of range for Zeff calculation. Valid range is 0.1 <= T_e_keV <= 100') - # Formulas valid only for region of validity: 0.1 <= T_e_keV <= 100 - # if T_e_keV < 0.1 or T_e_keV > 100: - # print('Warning: T_e_keV =',T_e_keV,'out of range for Zeff calculation. Valid range is 0.1 <= T_e_keV <= 100') + zeff_coeffs = get_coeffs_Zeff(T_e_keV) + # 6x5 matrix of Zeff values for each impurity - zeff_coeffs = get_coeffs_Zeff(T_e_keV) - # 6x5 matrix of Zeff values for each impurity + Tlog = np.log10(T_e_keV) - Tlog = np.log10(T_e_keV) + poly = np.empty(5) + for i in np.arange(5): + poly[i] = np.power(Tlog, i) - poly = np.empty(5) - for i in np.arange(5): - poly[i] = np.power(Tlog, i) + return np.sum(zeff_coeffs * poly, axis=1) - return np.sum(zeff_coeffs*poly, axis=1) @nb.njit(cache=True) def get_rads(T_e_keV): - """ - Function to get radiative power Lz per Zeff, from Mavrin 2018. - """ - # # Formulas valid only for region of validity: 0.1 <= T_e_keV <= 100 - # if T_e_keV < 0.1 or T_e_keV > 100: - # print('Warning: T_e_keV =',T_e_keV,'out of range for Lz calculation. Valid range is 0.1 <= T_e_keV <= 100') + """ + Function to get radiative power Lz per Zeff, from Mavrin 2018. + """ + # # Formulas valid only for region of validity: 0.1 <= T_e_keV <= 100 + # if T_e_keV < 0.1 or T_e_keV > 100: + # print('Warning: T_e_keV =',T_e_keV,'out of range for Lz calculation. Valid range is 0.1 <= T_e_keV <= 100') - Lz_coeffs = get_coeffs_Lz(T_e_keV) - # 6x5 matrix of Lz values for each impurity - Tlog = np.log10(T_e_keV) + Lz_coeffs = get_coeffs_Lz(T_e_keV) + # 6x5 matrix of Lz values for each impurity + Tlog = np.log10(T_e_keV) - poly = np.empty(5) - for i in np.arange(5): - poly[i] = np.power(Tlog, i) + poly = np.empty(5) + for i in np.arange(5): + poly[i] = np.power(Tlog, i) + + return np.power(10, np.sum(Lz_coeffs * poly, axis=1)) - return np.power(10,np.sum(Lz_coeffs*poly, axis=1)) @nb.njit(cache=True) def get_coeffs_Zeff(T_e_keV): - """ - Function to obtain the coefficients for Zeff calculation, from Mavrin 2018. - """ - - coeffs = np.empty((6, 5)) - - coeffs[0,0] = 2. - coeffs[0,1] = 0. - coeffs[0,2] = 0. - coeffs[0,3] = 0. - coeffs[0,4] = 0. - - if T_e_keV < 0.5: - coeffs[1,0] = 8.9737e0 - coeffs[1,1] = -1.3242e1 - coeffs[1,2] = -5.3631e1 - coeffs[1,3] = -6.4696e1 - coeffs[1,4] = -2.5303e1 - elif T_e_keV > 0.5 and T_e_keV <= 2: - coeffs[1,0] = 9.9532e0 - coeffs[1,1] = 2.1413e-1 - coeffs[1,2] = -8.0723e-1 - coeffs[1,3] = 3.6868e0 - coeffs[1,4] = -7.0678e0 - elif T_e_keV > 2: - coeffs[1,0] = 1.0000e1 - coeffs[1,1] = 0 - coeffs[1,2] = 0 - coeffs[1,3] = 0 - coeffs[1,4] = 0 - - if T_e_keV < 0.6: - coeffs[2,0] = 1.3171e1 - coeffs[2,1] = -2.0781e1 - coeffs[2,2] = -4.3776e1 - coeffs[2,3] = -1.1595e1 - coeffs[2,4] = 6.8717e0 - elif T_e_keV > 0.6 and T_e_keV <= 3: - coeffs[2,0] = 1.5986e1 - coeffs[2,1] = 1.1413e0 - coeffs[2,2] = 2.5023e0 - coeffs[2,3] = 1.8455e0 - coeffs[2,4] = -4.8830e-2 - elif T_e_keV > 3: - coeffs[2,0] = 1.4948e1 - coeffs[2,1] = 7.9986e0 - coeffs[2,2] = -8.0048e0 - coeffs[2,3] = 3.5667e0 - coeffs[2,4] = -5.9213e-1 - - if T_e_keV < 0.447: - coeffs[3,0] = 7.7040e1 - coeffs[3,1] = 3.0638e2 - coeffs[3,2] = 5.6890e2 - coeffs[3,3] = 4.6320e2 - coeffs[3,4] = 1.3630e2 - elif T_e_keV > 0.447 and T_e_keV <= 4.117: - coeffs[3,0] = 2.4728e1 - coeffs[3,1] = 1.5186e0 - coeffs[3,2] = 1.5744e1 - coeffs[3,3] = 6.8446e1 - coeffs[3,4] = -1.0279e2 - elif T_e_keV > 4.117: - coeffs[3,0] = 2.5368e1 - coeffs[3,1] = 2.3443e1 - coeffs[3,2] = -2.5703e1 - coeffs[3,3] = 1.3215e1 - coeffs[3,4] = -2.4682e0 - - if T_e_keV <= 0.3: - coeffs[4,0] = 3.0532e2 - coeffs[4,1] = 1.3973e3 - coeffs[4,2] = 2.5189e3 - coeffs[4,3] = 1.9967e3 - coeffs[4,4] = 5.8178e2 - elif T_e_keV > 0.3 and T_e_keV <= 1.5: - coeffs[4,0] = 3.2616e1 - coeffs[4,1] = 1.6271e1 - coeffs[4,2] = -4.8384e1 - coeffs[4,3] = -2.9061e1 - coeffs[4,4] = 8.6824e1 - elif T_e_keV > 1.5 and T_e_keV <= 8: - coeffs[4,0] = 4.8066e1 - coeffs[4,1] = -1.7259e2 - coeffs[4,2] = 6.6739e2 - coeffs[4,3] = -9.0008e2 - coeffs[4,4] = 4.0756e2 - elif T_e_keV > 8: - coeffs[4,0] = -5.7527e1 - coeffs[4,1] = 2.4056e2 - coeffs[4,2] = -1.9931e2 - coeffs[4,3] = 7.3261e1 - coeffs[4,4] = -1.0019e1 - - if T_e_keV < 1.5: - coeffs[5,0] = 2.6703e1 - coeffs[5,1] = 1.6518e1 - coeffs[5,2] = 2.1027e1 - coeffs[5,3] = 3.4582e1 - coeffs[5,4] = 1.6823e1 - elif T_e_keV > 1.5 and T_e_keV <= 4: - coeffs[5,0] = 3.6902e1 - coeffs[5,1] = -7.9611e1 - coeffs[5,2] = 2.5532e2 - coeffs[5,3] = -1.0577e1 - coeffs[5,4] = -2.5887e2 - elif T_e_keV > 4: - coeffs[5,0] = 6.3795e1 - coeffs[5,1] = -1.0011e2 - coeffs[5,2] = 1.5985e2 - coeffs[5,3] = -8.4207e1 - coeffs[5,4] = 1.5119e1 - - return coeffs + """ + Function to obtain the coefficients for Zeff calculation, from Mavrin 2018. + """ + + coeffs = np.empty((6, 5)) + + coeffs[0, 0] = 2.0 + coeffs[0, 1] = 0.0 + coeffs[0, 2] = 0.0 + coeffs[0, 3] = 0.0 + coeffs[0, 4] = 0.0 + + if T_e_keV < 0.5: + coeffs[1, 0] = 8.9737e0 + coeffs[1, 1] = -1.3242e1 + coeffs[1, 2] = -5.3631e1 + coeffs[1, 3] = -6.4696e1 + coeffs[1, 4] = -2.5303e1 + elif T_e_keV > 0.5 and T_e_keV <= 2: + coeffs[1, 0] = 9.9532e0 + coeffs[1, 1] = 2.1413e-1 + coeffs[1, 2] = -8.0723e-1 + coeffs[1, 3] = 3.6868e0 + coeffs[1, 4] = -7.0678e0 + elif T_e_keV > 2: + coeffs[1, 0] = 1.0000e1 + coeffs[1, 1] = 0 + coeffs[1, 2] = 0 + coeffs[1, 3] = 0 + coeffs[1, 4] = 0 + + if T_e_keV < 0.6: + coeffs[2, 0] = 1.3171e1 + coeffs[2, 1] = -2.0781e1 + coeffs[2, 2] = -4.3776e1 + coeffs[2, 3] = -1.1595e1 + coeffs[2, 4] = 6.8717e0 + elif T_e_keV > 0.6 and T_e_keV <= 3: + coeffs[2, 0] = 1.5986e1 + coeffs[2, 1] = 1.1413e0 + coeffs[2, 2] = 2.5023e0 + coeffs[2, 3] = 1.8455e0 + coeffs[2, 4] = -4.8830e-2 + elif T_e_keV > 3: + coeffs[2, 0] = 1.4948e1 + coeffs[2, 1] = 7.9986e0 + coeffs[2, 2] = -8.0048e0 + coeffs[2, 3] = 3.5667e0 + coeffs[2, 4] = -5.9213e-1 + + if T_e_keV < 0.447: + coeffs[3, 0] = 7.7040e1 + coeffs[3, 1] = 3.0638e2 + coeffs[3, 2] = 5.6890e2 + coeffs[3, 3] = 4.6320e2 + coeffs[3, 4] = 1.3630e2 + elif T_e_keV > 0.447 and T_e_keV <= 4.117: + coeffs[3, 0] = 2.4728e1 + coeffs[3, 1] = 1.5186e0 + coeffs[3, 2] = 1.5744e1 + coeffs[3, 3] = 6.8446e1 + coeffs[3, 4] = -1.0279e2 + elif T_e_keV > 4.117: + coeffs[3, 0] = 2.5368e1 + coeffs[3, 1] = 2.3443e1 + coeffs[3, 2] = -2.5703e1 + coeffs[3, 3] = 1.3215e1 + coeffs[3, 4] = -2.4682e0 + + if T_e_keV <= 0.3: + coeffs[4, 0] = 3.0532e2 + coeffs[4, 1] = 1.3973e3 + coeffs[4, 2] = 2.5189e3 + coeffs[4, 3] = 1.9967e3 + coeffs[4, 4] = 5.8178e2 + elif T_e_keV > 0.3 and T_e_keV <= 1.5: + coeffs[4, 0] = 3.2616e1 + coeffs[4, 1] = 1.6271e1 + coeffs[4, 2] = -4.8384e1 + coeffs[4, 3] = -2.9061e1 + coeffs[4, 4] = 8.6824e1 + elif T_e_keV > 1.5 and T_e_keV <= 8: + coeffs[4, 0] = 4.8066e1 + coeffs[4, 1] = -1.7259e2 + coeffs[4, 2] = 6.6739e2 + coeffs[4, 3] = -9.0008e2 + coeffs[4, 4] = 4.0756e2 + elif T_e_keV > 8: + coeffs[4, 0] = -5.7527e1 + coeffs[4, 1] = 2.4056e2 + coeffs[4, 2] = -1.9931e2 + coeffs[4, 3] = 7.3261e1 + coeffs[4, 4] = -1.0019e1 + + if T_e_keV < 1.5: + coeffs[5, 0] = 2.6703e1 + coeffs[5, 1] = 1.6518e1 + coeffs[5, 2] = 2.1027e1 + coeffs[5, 3] = 3.4582e1 + coeffs[5, 4] = 1.6823e1 + elif T_e_keV > 1.5 and T_e_keV <= 4: + coeffs[5, 0] = 3.6902e1 + coeffs[5, 1] = -7.9611e1 + coeffs[5, 2] = 2.5532e2 + coeffs[5, 3] = -1.0577e1 + coeffs[5, 4] = -2.5887e2 + elif T_e_keV > 4: + coeffs[5, 0] = 6.3795e1 + coeffs[5, 1] = -1.0011e2 + coeffs[5, 2] = 1.5985e2 + coeffs[5, 3] = -8.4207e1 + coeffs[5, 4] = 1.5119e1 + + return coeffs + @nb.njit(cache=True) def get_coeffs_Lz(T_e_keV): - """ - Function to obtain the coefficients for Lz calculation, from Mavrin 2018. - """ - - coeffs = np.empty((6, 5)) - - coeffs[0,0] = -3.5551e1 - coeffs[0,1] = 3.1469e-1 - coeffs[0,2] = 1.0156e-1 - coeffs[0,3] = -9.3730e-2 - coeffs[0,4] = 2.5020e-2 - - if T_e_keV <= 0.7: - coeffs[1,0] = -3.3132e1 - coeffs[1,1] = 1.7309e0 - coeffs[1,2] = 1.5230e1 - coeffs[1,3] = 2.8939e1 - coeffs[1,4] = 1.5648e1 - - elif T_e_keV > 0.7 and T_e_keV <= 5: - coeffs[1,0] = -3.3290e1 - coeffs[1,1] = -8.7750e-1 - coeffs[1,2] = 8.6842e-1 - coeffs[1,3] = -3.9544e-1 - coeffs[1,4] = 1.7244e-1 - - elif T_e_keV > 5: - coeffs[1,0] = -3.3410e1 - coeffs[1,1] = -4.5345e-1 - coeffs[1,2] = 2.9731e-1 - coeffs[1,3] = 4.3960e-2 - coeffs[1,4] = -2.6930e-2 - - if T_e_keV <= 0.6: - coeffs[2,0] = -3.2155e1 - coeffs[2,1] = 6.5221e0 - coeffs[2,2] = 3.0769e1 - coeffs[2,3] = 3.9161e1 - coeffs[2,4] = 1.5353e1 - elif T_e_keV > 0.6 and T_e_keV <= 3: - coeffs[2,0] = -3.2530e1 - coeffs[2,1] = 5.4490e-1 - coeffs[2,2] = 1.5389e0 - coeffs[2,3] = -7.6887e0 - coeffs[2,4] = 4.9806e0 - elif T_e_keV > 3: - coeffs[2,0] = -3.1853e1 - coeffs[2,1] = -1.6674e0 - coeffs[2,2] = 6.1339e-1 - coeffs[2,3] = 1.7480e-1 - coeffs[2,4] = -8.2260e-2 - - if T_e_keV <= 0.447: - coeffs[3,0] = -3.4512e1 - coeffs[3,1] = -2.1484e1 - coeffs[3,2] = -4.4723e1 - coeffs[3,3] = -4.0133e1 - coeffs[3,4] = -1.3564e1 - elif T_e_keV > 0.447 and T_e_keV <= 2.364: - coeffs[3,0] = -3.1399e1 - coeffs[3,1] = -5.0091e-1 - coeffs[3,2] = 1.9148e0 - coeffs[3,3] = -2.5865e0 - coeffs[3,4] = -5.2704e0 - elif T_e_keV > 2.364: - coeffs[3,0] = -2.9954e1 - coeffs[3,1] = -6.3683e0 - coeffs[3,2] = 6.6831e0 - coeffs[3,3] = -2.9674e0 - coeffs[3,4] = 4.8356e-1 - - if T_e_keV <= 0.5: - coeffs[4,0] = -2.9303e1 - coeffs[4,1] = 1.4351e1 - coeffs[4,2] = 4.7081e1 - coeffs[4,3] = 5.9580e1 - coeffs[4,4] = 2.5615e1 - elif T_e_keV > 0.5 and T_e_keV <= 2.5: - coeffs[4,0] = -3.1113e1 - coeffs[4,1] = 5.9339e-1 - coeffs[4,2] = 1.2808e0 - coeffs[4,3] = -1.1628e1 - coeffs[4,4] = 1.0748e1 - elif T_e_keV > 2.5 and T_e_keV <= 10: - coeffs[4,0] = -2.5813e1 - coeffs[4,1] = -2.7526e1 - coeffs[4,2] = 4.8614e1 - coeffs[4,3] = -3.6885e1 - coeffs[4,4] = 1.0069e1 - elif T_e_keV > 10: - coeffs[4,0] = -2.2138e1 - coeffs[4,1] = -2.2592e1 - coeffs[4,2] = 1.9619e1 - coeffs[4,3] = -7.5181e0 - coeffs[4,4] = 1.0858e0 - - if T_e_keV <= 1.5: - coeffs[5,0] = -3.0374e1 - coeffs[5,1] = 3.8304e-1 - coeffs[5,2] = -9.5126e-1 - coeffs[5,3] = -1.0311e0 - coeffs[5,4] = -1.0103e-1 - elif T_e_keV > 1.5 and T_e_keV <= 4: - coeffs[5,0] = -3.0238e1 - coeffs[5,1] = -2.9308e0 - coeffs[5,2] = 2.2824e1 - coeffs[5,3] = -6.3303e1 - coeffs[5,4] = 5.1849e1 - elif T_e_keV > 4: - coeffs[5,0] = -3.2153e1 - coeffs[5,1] = 5.2499e0 - coeffs[5,2] = -6.2740e0 - coeffs[5,3] = 2.6627e0 - coeffs[5,4] = -3.6759e-1 - - return coeffs - + """ + Function to obtain the coefficients for Lz calculation, from Mavrin 2018. + """ + + coeffs = np.empty((6, 5)) + + coeffs[0, 0] = -3.5551e1 + coeffs[0, 1] = 3.1469e-1 + coeffs[0, 2] = 1.0156e-1 + coeffs[0, 3] = -9.3730e-2 + coeffs[0, 4] = 2.5020e-2 + + if T_e_keV <= 0.7: + coeffs[1, 0] = -3.3132e1 + coeffs[1, 1] = 1.7309e0 + coeffs[1, 2] = 1.5230e1 + coeffs[1, 3] = 2.8939e1 + coeffs[1, 4] = 1.5648e1 + + elif T_e_keV > 0.7 and T_e_keV <= 5: + coeffs[1, 0] = -3.3290e1 + coeffs[1, 1] = -8.7750e-1 + coeffs[1, 2] = 8.6842e-1 + coeffs[1, 3] = -3.9544e-1 + coeffs[1, 4] = 1.7244e-1 + + elif T_e_keV > 5: + coeffs[1, 0] = -3.3410e1 + coeffs[1, 1] = -4.5345e-1 + coeffs[1, 2] = 2.9731e-1 + coeffs[1, 3] = 4.3960e-2 + coeffs[1, 4] = -2.6930e-2 + + if T_e_keV <= 0.6: + coeffs[2, 0] = -3.2155e1 + coeffs[2, 1] = 6.5221e0 + coeffs[2, 2] = 3.0769e1 + coeffs[2, 3] = 3.9161e1 + coeffs[2, 4] = 1.5353e1 + elif T_e_keV > 0.6 and T_e_keV <= 3: + coeffs[2, 0] = -3.2530e1 + coeffs[2, 1] = 5.4490e-1 + coeffs[2, 2] = 1.5389e0 + coeffs[2, 3] = -7.6887e0 + coeffs[2, 4] = 4.9806e0 + elif T_e_keV > 3: + coeffs[2, 0] = -3.1853e1 + coeffs[2, 1] = -1.6674e0 + coeffs[2, 2] = 6.1339e-1 + coeffs[2, 3] = 1.7480e-1 + coeffs[2, 4] = -8.2260e-2 + + if T_e_keV <= 0.447: + coeffs[3, 0] = -3.4512e1 + coeffs[3, 1] = -2.1484e1 + coeffs[3, 2] = -4.4723e1 + coeffs[3, 3] = -4.0133e1 + coeffs[3, 4] = -1.3564e1 + elif T_e_keV > 0.447 and T_e_keV <= 2.364: + coeffs[3, 0] = -3.1399e1 + coeffs[3, 1] = -5.0091e-1 + coeffs[3, 2] = 1.9148e0 + coeffs[3, 3] = -2.5865e0 + coeffs[3, 4] = -5.2704e0 + elif T_e_keV > 2.364: + coeffs[3, 0] = -2.9954e1 + coeffs[3, 1] = -6.3683e0 + coeffs[3, 2] = 6.6831e0 + coeffs[3, 3] = -2.9674e0 + coeffs[3, 4] = 4.8356e-1 + + if T_e_keV <= 0.5: + coeffs[4, 0] = -2.9303e1 + coeffs[4, 1] = 1.4351e1 + coeffs[4, 2] = 4.7081e1 + coeffs[4, 3] = 5.9580e1 + coeffs[4, 4] = 2.5615e1 + elif T_e_keV > 0.5 and T_e_keV <= 2.5: + coeffs[4, 0] = -3.1113e1 + coeffs[4, 1] = 5.9339e-1 + coeffs[4, 2] = 1.2808e0 + coeffs[4, 3] = -1.1628e1 + coeffs[4, 4] = 1.0748e1 + elif T_e_keV > 2.5 and T_e_keV <= 10: + coeffs[4, 0] = -2.5813e1 + coeffs[4, 1] = -2.7526e1 + coeffs[4, 2] = 4.8614e1 + coeffs[4, 3] = -3.6885e1 + coeffs[4, 4] = 1.0069e1 + elif T_e_keV > 10: + coeffs[4, 0] = -2.2138e1 + coeffs[4, 1] = -2.2592e1 + coeffs[4, 2] = 1.9619e1 + coeffs[4, 3] = -7.5181e0 + coeffs[4, 4] = 1.0858e0 + + if T_e_keV <= 1.5: + coeffs[5, 0] = -3.0374e1 + coeffs[5, 1] = 3.8304e-1 + coeffs[5, 2] = -9.5126e-1 + coeffs[5, 3] = -1.0311e0 + coeffs[5, 4] = -1.0103e-1 + elif T_e_keV > 1.5 and T_e_keV <= 4: + coeffs[5, 0] = -3.0238e1 + coeffs[5, 1] = -2.9308e0 + coeffs[5, 2] = 2.2824e1 + coeffs[5, 3] = -6.3303e1 + coeffs[5, 4] = 5.1849e1 + elif T_e_keV > 4: + coeffs[5, 0] = -3.2153e1 + coeffs[5, 1] = 5.2499e0 + coeffs[5, 2] = -6.2740e0 + coeffs[5, 3] = 2.6627e0 + coeffs[5, 4] = -3.6759e-1 + + return coeffs + + @nb.njit(cache=True) def get_sigma(T_i_keV, reaction_num): + """ + Reaction cross section in barns (1e-28 m^2), from Hale/Bosch 1992. + + reaction_num table: + - 1: T(d,n)He4 + - 2: D(d,p)T + - 3: D(d,n)He3 + """ + + # D-T + if reaction_num == 1: + A1 = 6.927e4 + A2 = 7.454e8 + A3 = 2.050e6 + A4 = 5.2002e4 + A5 = 0 + B1 = 6.38e1 + B2 = -9.95e-1 + B3 = 6.981e-5 + B4 = 1.728e-4 + B_G = 34.3827 + + # D-D -> p, T + if reaction_num == 2: + A1 = 5.5576e4 + A2 = 2.1054e2 + A3 = -3.2638e-2 + A4 = 1.4987e-6 + A5 = 1.8181e-10 + B1 = 0 + B2 = 0 + B3 = 0 + B4 = 0 + B_G = 31.3970 + + # D-D -> n, He3 + if reaction_num == 3: + A1 = 5.3701e4 + A2 = 3.3027e2 + A3 = -1.2706e-1 + A4 = 2.9327e-5 + A5 = -2.5151e-9 + B1 = 0 + B2 = 0 + B3 = 0 + B4 = 0 + B_G = 31.3970 + + # KeV/c^2 + S = lambda T: ( + (A1 + T * (A2 + T * (A3 + T * (A4 + T * A5)))) + / (1 + T * (B1 + T * (B2 + T * (B3 + T * B4)))) + ) + return 0.001 * S(T_i_keV) / (T_i_keV * np.exp(B_G / np.sqrt((T_i_keV)))) - """ - Reaction cross section in barns (1e-28 m^2), from Hale/Bosch 1992. - - reaction_num table: - - 1: T(d,n)He4 - - 2: D(d,p)T - - 3: D(d,n)He3 - """ - - #D-T - if reaction_num == 1: - A1 = 6.927e4 - A2 = 7.454e8 - A3 = 2.050e6 - A4 = 5.2002e4 - A5 = 0 - B1 = 6.38e1 - B2 = -9.95e-1 - B3 = 6.981e-5 - B4 = 1.728e-4 - B_G = 34.3827 - - #D-D -> p, T - if reaction_num == 2: - A1 = 5.5576e4 - A2 = 2.1054e2 - A3 = -3.2638e-2 - A4 = 1.4987e-6 - A5 = 1.8181e-10 - B1 = 0 - B2 = 0 - B3 = 0 - B4 = 0 - B_G = 31.3970 - - #D-D -> n, He3 - if reaction_num == 3: - A1 = 5.3701e4 - A2 = 3.3027e2 - A3 = -1.2706e-1 - A4 = 2.9327e-5 - A5 = -2.5151e-9 - B1 = 0 - B2 = 0 - B3 = 0 - B4 = 0 - B_G = 31.3970 - - #KeV/c^2 - S = lambda T: (A1 + T * (A2 + T * (A3 + T * (A4 + T * A5))))/(1+T * (B1 + T * (B2 + T * (B3 + T* B4)))) - return 0.001*S(T_i_keV) / (T_i_keV* np.exp(B_G / np.sqrt((T_i_keV)))) @nb.njit(cache=True) def get_reactivity(T_i_keV, reaction_num): - """ - Reaction cross section in barns (1e-28 m^2), from Hale/Bosch 1992. - See equations 12-14. - - reaction_num table: - - 1: T(d,n)He4 - - 2: D(d,p)T - - 3: D(d,n)He3 - """ - - #D-T - if reaction_num == 1: - C1 = 1.17302e-9 - C2 = 1.51361e-2 - C3 = 7.51886e-2 - C4 = 4.60643e-3 - C5 = 1.35000e-2 - C6 = -1.06750e-4 - C7 = 1.36600e-5 - - mc2 = 1124656 - B_G = 34.3827 - - #D-D -> p, T - if reaction_num == 2: - C1 = 5.65718e-12 - C2 = 3.41267e-3 - C3 = 1.99167e-3 - C4 = 0 - C5 = 1.05060e-5 - C6 = 0 - C7 = 0 - - mc2 = 937814 - B_G = 31.3970 - - #D-D -> n, He3 - if reaction_num == 3: - C1 = 5.43360e-12 - C2 = 5.85778e-3 - C3 = 7.68222e-3 - C4 = 0 - C5 = -2.96400e-6 - C6 = 0 - C7 = 0 - - mc2 = 937814 - B_G = 31.3970 - - theta = T_i_keV / \ - ( 1 - ( (T_i_keV*(C2+T_i_keV*(C4+T_i_keV*C6)))/ \ - (1+T_i_keV*(C3+T_i_keV*(C5+T_i_keV*C7))) ) ) - xi = (B_G**2/(4 * theta))**(1/3) - - return C1*theta*np.sqrt( xi / (mc2* T_i_keV**3) )*np.exp(-3 * xi) - - -def get_B0(B_coil:float,wall_thickness:float, R:float, a:float) -> float: - - B0 = B_coil*(R-wall_thickness-a)/R - - return B0 - -def get_Ip(qstar:float, R:float, a:float, B0:float, kappa:float) -> float: - - Ip = 2*np.pi*a**2*B0*(kappa**2+1)/(2*R*4e-7*np.pi*qstar*10**6) - return Ip - -def get_impurity_fraction(Zeff:float, fHe:float, impurity:int, T0:float) -> float: - - zeffs = get_Zeffs(T0) - imcharge = zeffs[impurity] - - impfrac = (1 + 3*fHe - Zeff - 2*fHe*Zeff)/(1 - imcharge**2 + imcharge*Zeff) - return impfrac \ No newline at end of file + """ + Reaction cross section in barns (1e-28 m^2), from Hale/Bosch 1992. + See equations 12-14. + + reaction_num table: + - 1: T(d,n)He4 + - 2: D(d,p)T + - 3: D(d,n)He3 + """ + + # D-T + if reaction_num == 1: + C1 = 1.17302e-9 + C2 = 1.51361e-2 + C3 = 7.51886e-2 + C4 = 4.60643e-3 + C5 = 1.35000e-2 + C6 = -1.06750e-4 + C7 = 1.36600e-5 + + mc2 = 1124656 + B_G = 34.3827 + + # D-D -> p, T + if reaction_num == 2: + C1 = 5.65718e-12 + C2 = 3.41267e-3 + C3 = 1.99167e-3 + C4 = 0 + C5 = 1.05060e-5 + C6 = 0 + C7 = 0 + + mc2 = 937814 + B_G = 31.3970 + + # D-D -> n, He3 + if reaction_num == 3: + C1 = 5.43360e-12 + C2 = 5.85778e-3 + C3 = 7.68222e-3 + C4 = 0 + C5 = -2.96400e-6 + C6 = 0 + C7 = 0 + + mc2 = 937814 + B_G = 31.3970 + + theta = T_i_keV / ( + 1 + - ( + (T_i_keV * (C2 + T_i_keV * (C4 + T_i_keV * C6))) + / (1 + T_i_keV * (C3 + T_i_keV * (C5 + T_i_keV * C7))) + ) + ) + xi = (B_G**2 / (4 * theta)) ** (1 / 3) + + return C1 * theta * np.sqrt(xi / (mc2 * T_i_keV**3)) * np.exp(-3 * xi) + + +def get_B0(B_coil: float, wall_thickness: float, R: float, a: float) -> float: + + B0 = B_coil * (R - wall_thickness - a) / R + + return B0 + + +def get_Ip(qstar: float, R: float, a: float, B0: float, kappa: float) -> float: + + Ip = 2 * np.pi * a**2 * B0 * (kappa**2 + 1) / (2 * R * 4e-7 * np.pi * qstar * 10**6) + return Ip + + +def get_impurity_fraction(Zeff: float, fHe: float, impurity: int, T0: float) -> float: + + zeffs = get_Zeffs(T0) + imcharge = zeffs[impurity] + + impfrac = (1 + 3 * fHe - Zeff - 2 * fHe * Zeff) / ( + 1 - imcharge**2 + imcharge * Zeff + ) + return impfrac diff --git a/openpopcon/resources/examples/MANTA/manta_ex.ipynb b/openpopcon/resources/examples/MANTA/manta_ex.ipynb index 3eab9a5..ca05611 100644 --- a/openpopcon/resources/examples/MANTA/manta_ex.ipynb +++ b/openpopcon/resources/examples/MANTA/manta_ex.ipynb @@ -44,8 +44,7 @@ "settingsfile = \"./POPCON_input_example.yaml\"\n", "plotsettingsfile = \"./plotsettings.yml\"\n", "\n", - "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile)" + "pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile)" ] }, { @@ -93,9 +92,22 @@ "rho = pc.algorithms.sqrtpsin\n", "for i in range(pc.settings.Nn):\n", " for j in range(pc.settings.NTi):\n", - " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])))\n", - "pc.custom_plot(fig, ax, P_synchotron, np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5), 'teal', 1., r'$P_{synch}$')\n", - "ax.legend(bbox_to_anchor=(1, 1), loc='upper left')\n", + " P_synchotron[i, j] = pc.algorithms.volume_integral(\n", + " rho,\n", + " pc.algorithms._P_brem_rad(\n", + " rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])\n", + " ),\n", + " )\n", + "pc.custom_plot(\n", + " fig,\n", + " ax,\n", + " P_synchotron,\n", + " np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5),\n", + " \"teal\",\n", + " 1.0,\n", + " r\"$P_{synch}$\",\n", + ")\n", + "ax.legend(bbox_to_anchor=(1, 1), loc=\"upper left\")\n", "fig.show()" ] }, @@ -114,7 +126,7 @@ "metadata": {}, "outputs": [], "source": [ - "pc.single_point(n_G_frac=0.88,Ti_av=7.3)" + "pc.single_point(n_G_frac=0.88, Ti_av=7.3)" ] }, { @@ -132,7 +144,7 @@ "metadata": {}, "outputs": [], "source": [ - "pc.write_output(name='test',archive=False,overwrite=True)" + "pc.write_output(name=\"test\", archive=False, overwrite=True)" ] }, { @@ -142,7 +154,7 @@ "outputs": [], "source": [ "pcread = op.POPCON()\n", - "pcread.read_output('test')\n", + "pcread.read_output(\"test\")\n", "pcread.plot()" ] } diff --git a/openpopcon/resources/examples/NSF/NSF_run.ipynb b/openpopcon/resources/examples/NSF/NSF_run.ipynb index f5cdea4..25733f2 100644 --- a/openpopcon/resources/examples/NSF/NSF_run.ipynb +++ b/openpopcon/resources/examples/NSF/NSF_run.ipynb @@ -40,7 +40,11 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": "# profiles and a power breakdown at one operating point:\n# 60% of the Greenwald density and 7.3 keV volume-averaged Ti\npc.single_point(0.6, 7.3, plot=True, show=True)" + "source": [ + "# profiles and a power breakdown at one operating point:\n", + "# 60% of the Greenwald density and 7.3 keV volume-averaged Ti\n", + "pc.single_point(0.6, 7.3, plot=True, show=True)" + ] }, { "cell_type": "code", @@ -55,31 +59,31 @@ "pcdata = pc.output\n", "\n", "\n", - "Paux = getattr(pcdata, 'Paux')\n", - "betaN = getattr(pcdata, 'betaN')\n", - "H98 = getattr(pcdata, 'H89')\n", - "fGW = getattr(pcdata, 'n_G_frac')\n", - "Ti = getattr(pcdata, 'T_i_avg')\n", + "Paux = getattr(pcdata, \"Paux\")\n", + "betaN = getattr(pcdata, \"betaN\")\n", + "H98 = getattr(pcdata, \"H89\")\n", + "fGW = getattr(pcdata, \"n_G_frac\")\n", + "Ti = getattr(pcdata, \"T_i_avg\")\n", "\n", - "fig = plt.figure(figsize=(6,6))\n", + "fig = plt.figure(figsize=(6, 6))\n", "ax = plt.subplot(111)\n", "fontsize = 18\n", "labelsize = fontsize - 6\n", "\n", - "betaN_levels = [0,1,2]\n", - "cs1 = ax.contour(Ti, fGW, betaN, levels=betaN_levels, colors='r')\n", + "betaN_levels = [0, 1, 2]\n", + "cs1 = ax.contour(Ti, fGW, betaN, levels=betaN_levels, colors=\"r\")\n", "plt.clabel(cs1)\n", "\n", - "Paux_levels = [10,100]\n", - "cs2 = ax.contour(Ti, fGW, Paux, levels=Paux_levels, colors='b')\n", + "Paux_levels = [10, 100]\n", + "cs2 = ax.contour(Ti, fGW, Paux, levels=Paux_levels, colors=\"b\")\n", "plt.clabel(cs2)\n", "\n", - "H98_levels = [0.2,0.4,0.6,0.8,1]\n", - "cs3 = ax.contour(Ti, fGW, H98, levels=H98_levels, colors='k')\n", + "H98_levels = [0.2, 0.4, 0.6, 0.8, 1]\n", + "cs3 = ax.contour(Ti, fGW, H98, levels=H98_levels, colors=\"k\")\n", "plt.clabel(cs3)\n", "\n", - "ax.set_ylabel(r'$\\it{f}_\\mathrm{GW}$', fontsize=fontsize)\n", - "ax.set_xlabel(r'$\\langle\\it{T}_\\mathrm{i,max}\\rangle$ (keV)', fontsize=fontsize)\n", + "ax.set_ylabel(r\"$\\it{f}_\\mathrm{GW}$\", fontsize=fontsize)\n", + "ax.set_xlabel(r\"$\\langle\\it{T}_\\mathrm{i,max}\\rangle$ (keV)\", fontsize=fontsize)\n", "ax.tick_params(labelsize=labelsize)\n", "plt.tight_layout()" ] diff --git a/openpopcon/resources/examples/NSF/makeNSFprofiles.py b/openpopcon/resources/examples/NSF/makeNSFprofiles.py index 76391f6..45908c2 100644 --- a/openpopcon/resources/examples/NSF/makeNSFprofiles.py +++ b/openpopcon/resources/examples/NSF/makeNSFprofiles.py @@ -7,11 +7,11 @@ import matplotlib.pyplot as plt import pandas as pd -n_frac_edge = 0.4 # = n_edge/n_0 -n0 = 4.48e20 # m^-3 +n_frac_edge = 0.4 # = n_edge/n_0 +n0 = 4.48e20 # m^-3 n_edge = n_frac_edge * n0 -T0 = 5e3 #eV -T_edge = 0.1e3 #eV +T0 = 5e3 # eV +T_edge = 0.1e3 # eV alpha1_T = 1.79252435 alpha1_n = 2.57629833 @@ -21,17 +21,17 @@ tite = 1 N = 201 -rho = np.linspace(0,1,N) -n_e = (n0-n_edge)*(1-rho**alpha1_n)**alpha2_n + n_edge +rho = np.linspace(0, 1, N) +n_e = (n0 - n_edge) * (1 - rho**alpha1_n) ** alpha2_n + n_edge n_i = n_e -T_e = (T0-T_edge)*(1-rho**alpha1_T)**alpha2_T + T_edge +T_e = (T0 - T_edge) * (1 - rho**alpha1_T) ** alpha2_T + T_edge T_i = T_e * tite if False: plt.figure() - plt.plot(rho,T_e) + plt.plot(rho, T_e) plt.show() -data = {'n_e':n_e,'n_i':n_i,'T_i':T_i,'T_e':T_e,'rho':rho} +data = {"n_e": n_e, "n_i": n_i, "T_i": T_i, "T_e": T_e, "rho": rho} df = pd.DataFrame(data) df.to_csv(pathlib.Path(__file__).resolve().parent / "pNSF.csv", index=False) diff --git a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb index 265980f..25528a4 100644 --- a/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb +++ b/openpopcon/resources/examples/SPARC/SPARC_EX.ipynb @@ -40,8 +40,7 @@ "settingsfile = \"./POPCON_input_example.yaml\"\n", "plotsettingsfile = \"./plotsettings.yml\"\n", "\n", - "pc = op.POPCON(settingsfile=settingsfile, \n", - " plotsettingsfile=plotsettingsfile)" + "pc = op.POPCON(settingsfile=settingsfile, plotsettingsfile=plotsettingsfile)" ] }, { @@ -98,9 +97,22 @@ "rho = pc.algorithms.sqrtpsin\n", "for i in range(pc.settings.Nn):\n", " for j in range(pc.settings.NTi):\n", - " P_synchotron[i,j] = pc.algorithms.volume_integral(rho, pc.algorithms._P_brem_rad(rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])))\n", - "pc.custom_plot(fig, ax, P_synchotron, np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5), 'teal', 1., r'$P_{synch}$')\n", - "ax.legend(bbox_to_anchor=(1, 1), loc='upper left')\n", + " P_synchotron[i, j] = pc.algorithms.volume_integral(\n", + " rho,\n", + " pc.algorithms._P_brem_rad(\n", + " rho, float(pc.output.T_e_max[j]), float(pc.output.n_e_20_max[i])\n", + " ),\n", + " )\n", + "pc.custom_plot(\n", + " fig,\n", + " ax,\n", + " P_synchotron,\n", + " np.linspace(np.min(P_synchotron), np.max(P_synchotron), 5),\n", + " \"teal\",\n", + " 1.0,\n", + " r\"$P_{synch}$\",\n", + ")\n", + "ax.legend(bbox_to_anchor=(1, 1), loc=\"upper left\")\n", "fig.show()" ] }, @@ -119,7 +131,7 @@ "metadata": {}, "outputs": [], "source": [ - "pc.single_point(n_G_frac=0.37,Ti_av=7.3)" + "pc.single_point(n_G_frac=0.37, Ti_av=7.3)" ] }, { @@ -137,7 +149,7 @@ "metadata": {}, "outputs": [], "source": [ - "pc.write_output(name='sparc_test',archive=False,overwrite=True)" + "pc.write_output(name=\"sparc_test\", archive=False, overwrite=True)" ] }, { @@ -147,7 +159,7 @@ "outputs": [], "source": [ "pcread = op.POPCON()\n", - "pcread.read_output('sparc_test')\n", + "pcread.read_output(\"sparc_test\")\n", "pcread.plot()" ] }, diff --git a/tests/conftest.py b/tests/conftest.py index 42a4f78..587e6ca 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,7 +1,9 @@ """ Shared test fixtures """ + import matplotlib + matplotlib.use("Agg") import pytest diff --git a/tests/generate_golden.py b/tests/generate_golden.py index ab971d7..44f5d6d 100644 --- a/tests/generate_golden.py +++ b/tests/generate_golden.py @@ -8,6 +8,7 @@ review the diff to tests/data/golden_manta.json and commit it together with the change that caused it. """ + import json import os import sys @@ -37,8 +38,10 @@ def main(): os.makedirs(os.path.dirname(GOLDEN_PATH), exist_ok=True) with open(GOLDEN_PATH, "w") as fh: json.dump(payload, fh, indent=1) - print(f"Wrote {GOLDEN_PATH} ({len(GOLDEN_FIELDS)} fields, " - f"{SMALL_GRID['Nn']}x{SMALL_GRID['NTi']} grid).") + print( + f"Wrote {GOLDEN_PATH} ({len(GOLDEN_FIELDS)} fields, " + f"{SMALL_GRID['Nn']}x{SMALL_GRID['NTi']} grid)." + ) if __name__ == "__main__": diff --git a/tests/helpers.py b/tests/helpers.py index cafc89d..b85e955 100644 --- a/tests/helpers.py +++ b/tests/helpers.py @@ -3,9 +3,11 @@ Solves the MANTA example. """ + import os import matplotlib + matplotlib.use("Agg") import openpopcon as op @@ -17,14 +19,25 @@ SMALL_GRID = dict(Nn=8, NTi=8, nr=60) GOLDEN_FIELDS = [ - "Paux", "Q", "Pheat", "Pconf", "Psol", "f_rad", - "tauE", "betaN", "Pfusion", "Pohmic", "n_i_20_avg", "vloop", + "Paux", + "Q", + "Pheat", + "Pconf", + "Psol", + "f_rad", + "tauE", + "betaN", + "Pfusion", + "Pohmic", + "n_i_20_avg", + "vloop", ] GOLDEN_PATH = os.path.join(os.path.dirname(__file__), "data", "golden_manta.json") UNPHYSICAL = 99998.0 + def solve_small_manta(parallel=False): """ Solve the MANTA example on the small grid. parallel=False keeps the run diff --git a/tests/test_invariants.py b/tests/test_invariants.py index bbc84fa..c11eb7b 100644 --- a/tests/test_invariants.py +++ b/tests/test_invariants.py @@ -2,6 +2,7 @@ Physics/consistency invariants that should hold regardless of the exact numbers, so they keep protecting the code even after the golden file is regenerated. """ + import matplotlib.pyplot as plt import numpy as np import pytest @@ -41,7 +42,8 @@ def test_parallel_matches_serial(solved_manta): np.testing.assert_allclose( np.asarray(par.output[field].values), np.asarray(solved_manta.output[field].values), - rtol=1e-9, atol=1e-9, + rtol=1e-9, + atol=1e-9, err_msg=f"parallel and serial disagree on {field}", ) @@ -60,7 +62,8 @@ def test_output_roundtrip(solved_manta, tmp_path): np.testing.assert_allclose( np.asarray(restored.output[field].values), np.asarray(solved_manta.output[field].values), - rtol=1e-9, atol=1e-9, + rtol=1e-9, + atol=1e-9, err_msg=f"roundtrip changed {field}", ) plt.close("all") diff --git a/tests/test_regression.py b/tests/test_regression.py index f2ec138..93f5b1b 100644 --- a/tests/test_regression.py +++ b/tests/test_regression.py @@ -3,6 +3,7 @@ output. A failure here means the physics changed. If that was intentional, regenerate the golden file (see generate_golden.py) and commit the new values. """ + import json import numpy as np @@ -25,7 +26,12 @@ def test_field_matches_golden(solved_manta, golden, field): # rtol is loose enough to survive libm/BLAS differences across platforms but # far tighter than any real physics change, which moves results by percents. np.testing.assert_allclose( - got, ref, rtol=1e-6, atol=1e-8, - err_msg=(f"{field} differs from the golden reference. If this change is " - f"intentional, regenerate with `uv run python tests/generate_golden.py`."), + got, + ref, + rtol=1e-6, + atol=1e-8, + err_msg=( + f"{field} differs from the golden reference. If this change is " + f"intentional, regenerate with `uv run python tests/generate_golden.py`." + ), ) diff --git a/tests/test_validation.py b/tests/test_validation.py index bc37c05..0479c8b 100644 --- a/tests/test_validation.py +++ b/tests/test_validation.py @@ -4,6 +4,7 @@ examples, several of which use edge-case values on purpose), and - obviously bad settings are rejected at construction with a clear ValueError. """ + import glob import os @@ -47,7 +48,7 @@ def _write_settings(tmp_path, **overrides): BAD_SETTINGS = { "Tmin_ge_Tmax": dict(Tmin_keV=12.0, Tmax_keV=11.0), "nmin_ge_nmax": dict(nmin_frac=0.9, nmax_frac=0.3), - "a_ge_R": dict(a=5.0), # R is 4.55 + "a_ge_R": dict(a=5.0), # R is 4.55 "delta_out_of_range": dict(delta=1.5), "grid_too_small": dict(Nn=1), "bad_fuel": dict(fuel=7), @@ -72,5 +73,8 @@ def test_singular_scaling_law_rejected(tmp_path): yaml.safe_dump(laws, fh) with pytest.raises(ValueError, match="singular"): - op.POPCON(settingsfile=SETTINGS, plotsettingsfile=PLOTSETTINGS, - scalinglawfile=str(slfile)) + op.POPCON( + settingsfile=SETTINGS, + plotsettingsfile=PLOTSETTINGS, + scalinglawfile=str(slfile), + ) From e4cf171f3264d2feec442b799ef16feaa80f6896 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Tue, 21 Jul 2026 20:03:01 -0400 Subject: [PATCH 13/14] fix jobs double-run --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9f92512..705a57e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -2,7 +2,7 @@ name: CI on: push: - branches: [main, large_refactor] + branches: [main] pull_request: concurrency: From 7f33545b77f9937724bade1417c114a93caa55c7 Mon Sep 17 00:00:00 2001 From: Matthew Pharr Date: Tue, 21 Jul 2026 21:52:28 -0400 Subject: [PATCH 14/14] Tighten dependency floors to lowest versions that pass Set each runtime dependency to the lowest version that installs and passes the test suite, verified with a uv resolution sweep (lowest-direct vs highest) across Python 3.10-3.14. numpy 2.0 (for np.trapezoid) is the hard gate and forces the numpy-facing packages up to their first numpy-2-compatible release. - numba>=0.61 (was 0.60): 0.60 cannot compile np.trapezoid in njit, so the previous floor would fail at runtime. - scipy>=1.13, matplotlib>=3.9, contourpy>=1.2.1: first releases allowing numpy 2. - pyyaml>=6.0.2: 6.0/6.0.1 sdists fail to build on Python 3.12+. - xarray>=2023.9.0: lowest verified working under numpy 2. - requires-python raised to <3.15; 3.14 passes on current dependencies. uv.lock relocked to match. Co-Authored-By: Claude Opus 4.8 (1M context) Claude-Session: https://claude.ai/code/session_01ME7GDe8m85XX9WBMyDFWQo --- pyproject.toml | 19 +- uv.lock | 520 +++++++++++++++++++++++++++++++++++++++++++++---- 2 files changed, 496 insertions(+), 43 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3089dd5..51d021e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,15 +7,18 @@ name = "openpopcon" version = "2.0.0" description = "0-D tokamak scoping tool for Columbia's Fusion Reactor Design course" readme = "README.MD" -requires-python = ">=3.10,<3.14" +requires-python = ">=3.10,<3.15" +# Floors are the lowest versions that install and pass the test suite. numpy 2.0 +# (for np.trapezoid) is the hard gate; it forces the numpy-facing packages up to +# their first numpy-2-compatible release. Verified by the dependency sweep. dependencies = [ - "numpy>=2.0", # np.trapezoid, which replaced np.trapz - "scipy", - "matplotlib", - "contourpy", # imported directly by lib/openpopcon_util.py - "numba>=0.60", # np.trapezoid support inside njit; cache=True with parallel=True - "pyyaml", - "xarray", + "numpy>=2.0", # np.trapezoid (replaced np.trapz); numpy 2 required + "scipy>=1.13", # first scipy supporting numpy 2 + "matplotlib>=3.9", # first matplotlib supporting numpy 2 + "contourpy>=1.2.1", # 1.2.0 caps numpy<2; imported directly by lib/openpopcon_util.py + "numba>=0.61", # np.trapezoid in njit is unsupported in 0.60; numpy 2 + cache/parallel + "pyyaml>=6.0.2", # 6.0/6.0.1 sdists fail to build on py3.12+; 6.0.2 ships those wheels + "xarray>=2023.9.0", # runs under numpy 2; lowest verified ] [project.optional-dependencies] diff --git a/uv.lock b/uv.lock index e980ed5..396f0b7 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,13 @@ version = 1 revision = 3 -requires-python = ">=3.10, <3.14" +requires-python = ">=3.10, <3.15" resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -12,7 +15,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-07-14T23:48:10.037764Z" +exclude-newer = "2026-07-15T00:47:28.213095Z" exclude-newer-span = "P1W" [[package]] @@ -59,6 +62,16 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" } wheels = [ + { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload-time = "2025-07-30T10:01:40.97Z" }, + { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload-time = "2025-07-30T10:01:41.916Z" }, + { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload-time = "2025-07-30T10:01:42.716Z" }, + { url = "https://files.pythonhosted.org/packages/d4/d3/942aa10782b2697eee7af5e12eeff5ebb325ccfb86dd8abda54174e377e4/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44", size = 86558, upload-time = "2025-07-30T10:01:43.943Z" }, + { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload-time = "2025-07-30T10:01:44.887Z" }, + { url = "https://files.pythonhosted.org/packages/c9/c1/a606ff83b3f1735f3759ad0f2cd9e038a0ad11a3de3b6c673aa41c24bb7b/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92", size = 85637, upload-time = "2025-07-30T10:01:46.225Z" }, + { url = "https://files.pythonhosted.org/packages/44/b4/678503f12aceb0262f84fa201f6027ed77d71c5019ae03b399b97caa2f19/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85", size = 91934, upload-time = "2025-07-30T10:01:47.203Z" }, + { url = "https://files.pythonhosted.org/packages/f0/c7/f36bd08ef9bd9f0a9cff9428406651f5937ce27b6c5b07b92d41f91ae541/argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f", size = 28158, upload-time = "2025-07-30T10:01:48.341Z" }, + { url = "https://files.pythonhosted.org/packages/b3/80/0106a7448abb24a2c467bf7d527fe5413b7fdfa4ad6d6a96a43a62ef3988/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6", size = 32597, upload-time = "2025-07-30T10:01:49.112Z" }, + { url = "https://files.pythonhosted.org/packages/05/b8/d663c9caea07e9180b2cb662772865230715cbd573ba3b5e81793d580316/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623", size = 28231, upload-time = "2025-07-30T10:01:49.92Z" }, { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload-time = "2025-07-30T10:01:50.815Z" }, { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload-time = "2025-07-30T10:01:51.681Z" }, { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload-time = "2025-07-30T10:01:53.184Z" }, @@ -227,6 +240,30 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c6/4b/e706f67279140f92939da3475ad610df18bfd52d50f14953a8e5fede71d5/cffi-2.1.0-cp313-cp313-win32.whl", hash = "sha256:db3eb7d46527159a878ec3460e9d40615bc25ba337d477db681aea6e4f05c5d2", size = 175248, upload-time = "2026-07-06T21:33:19.799Z" }, { url = "https://files.pythonhosted.org/packages/5a/47/59eb7975cb0e4ef0afa764ea945b29a5bb4537a9f771cb7d6c8a5dd74c95/cffi-2.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:8e74a6135550c4748af665b1b1118b6aab33b1fc6a16f9aff630af107c3b4512", size = 185717, upload-time = "2026-07-06T21:33:21.47Z" }, { url = "https://files.pythonhosted.org/packages/5a/af/34fee85c48f8d94efc8597bc09470c9dd274c145f1c12e0fbc6ab6d38d74/cffi-2.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:2282cd5e38aa8accd03e99d1256af8411c84cdbee6a89d841b563fdbd1f3e50f", size = 180114, upload-time = "2026-07-06T21:33:22.515Z" }, + { url = "https://files.pythonhosted.org/packages/d8/f0/81478e482afa03f6d18dc8f2afb5edc45b3080853b634b5ed91961be0998/cffi-2.1.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:d2117334c3af3bdcb9a88522b844a2bdb5efdc4f71c6c822df55486ae1c3347a", size = 194142, upload-time = "2026-07-06T21:33:23.657Z" }, + { url = "https://files.pythonhosted.org/packages/7d/95/8de304305cd9204974b0ca051b86d307cafca13aa575a0ef1b44d92c0d8c/cffi-2.1.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:702c436735fbe99d59ada02a1f65cfc0d31c0ee8b7290912f8fbc5cd1e4b16c3", size = 196819, upload-time = "2026-07-06T21:33:25.007Z" }, + { url = "https://files.pythonhosted.org/packages/20/71/7c8372d30e42415602ed9f268f7cfd66f1b855fed881ecd168bcb45dbc0b/cffi-2.1.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1ff3456eab0d889592d1936d6125bbfbc7ae4d3354a700f8bd80450a66445d4d", size = 184965, upload-time = "2026-07-06T21:33:26.605Z" }, + { url = "https://files.pythonhosted.org/packages/d6/5c/584e626835f0375c928176c04137c96927165cb8733cdb3150ec04e5ee5e/cffi-2.1.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c4165821e131d6d4ca444347c2b694e2311bcfa3fe5a861cc72968f28867beac", size = 184952, upload-time = "2026-07-06T21:33:27.823Z" }, + { url = "https://files.pythonhosted.org/packages/2e/d2/065fcae1c73979fac8e054462478d0ff8a29c40cdc2ed7ea5676a061df53/cffi-2.1.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:276f20fffd7b396e12516ba8edf9509210ac248cbbc5acbc39cd512f9f59ebe6", size = 222353, upload-time = "2026-07-06T21:33:29.178Z" }, + { url = "https://files.pythonhosted.org/packages/ed/a5/e8bbb1ce5b3ac2f53ad6a10bde44318a5a8d99d4f4a000d44a6e39aeb3e4/cffi-2.1.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:7d5980a3433d4b71a5e120f9dd551403d7824e31e2e67124fe2769c404c06913", size = 210051, upload-time = "2026-07-06T21:33:30.534Z" }, + { url = "https://files.pythonhosted.org/packages/28/ed/c127d3ac36e899c965e3361357c3befacd6578c03f40125183e41c3b219e/cffi-2.1.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:6ca4919c6e4f89aa99c42510b42cf54596892c00b3f9077f6bdd1505e24b9c8d", size = 208630, upload-time = "2026-07-06T21:33:31.753Z" }, + { url = "https://files.pythonhosted.org/packages/cc/d7/97d3136f81db489ec8d1d67748c110d6c994268fd7528014aa9f2b085e4e/cffi-2.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d53d10f7da99ae46f7373b9150393e9c5eab9b224909982b43832668de4779f5", size = 221593, upload-time = "2026-07-06T21:33:33.044Z" }, + { url = "https://files.pythonhosted.org/packages/d3/27/93195977168ee63aed233a1a0993a2178798654d1f4bddcdd321d6fd3b21/cffi-2.1.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c351efb95e832a853a29361675f33a7ce53de1a109cd73fd47af0712213aa4ce", size = 225146, upload-time = "2026-07-06T21:33:34.224Z" }, + { url = "https://files.pythonhosted.org/packages/b3/c1/6dbd291ee2ae5a50a034aa057207081f545923bbf15dad4511e985aafff5/cffi-2.1.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:dbf7c7a88e2bac086f06d14577332760bdeecc42bdec8ac4077f6260557d9326", size = 223240, upload-time = "2026-07-06T21:33:35.57Z" }, + { url = "https://files.pythonhosted.org/packages/0f/6f/ade5ce9863a57992a6ea3d0d10d7e29b8749fc127204b3d493d667b2815f/cffi-2.1.0-cp314-cp314-win32.whl", hash = "sha256:1854b724d00f6654c742097d5387569021be12d3a0f770eae1df8f8acfcc6acd", size = 177723, upload-time = "2026-07-06T21:33:51.626Z" }, + { url = "https://files.pythonhosted.org/packages/41/de/92b9eeed4ae4a21d6fd9b2a2c8505cbed573299902ea73981cc13f7ff62c/cffi-2.1.0-cp314-cp314-win_amd64.whl", hash = "sha256:1b96bfe2c4bd825681b7d311ad6d9b7280a091f43e8f63da5729638083cd3bfb", size = 187937, upload-time = "2026-07-06T21:33:53.403Z" }, + { url = "https://files.pythonhosted.org/packages/2e/1a/cc6ae6c2913a03aab8898eee57963cf1035b8df5872ed8b9115fcc7e2be8/cffi-2.1.0-cp314-cp314-win_arm64.whl", hash = "sha256:7d28dff1db6764108bc30788d85d61c876beff416d9a49cb9dd7c5a9f34f5804", size = 183001, upload-time = "2026-07-06T21:33:54.74Z" }, + { url = "https://files.pythonhosted.org/packages/14/f0/134c00ce0779ec86dea2aa1aac69339c2741a8045072676763512363a2ea/cffi-2.1.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:7ea6b3e2c4250ff1de21c630fe72d0f63eb95c2c32ffbf64a358cf4a8836d714", size = 188538, upload-time = "2026-07-06T21:33:36.792Z" }, + { url = "https://files.pythonhosted.org/packages/50/d8/3b86aba791cb610d24e8a3e1b2cd529e71fa15096b04e4d4e360049d4a4c/cffi-2.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:6af371f3767faeffc6ac1ef57cdfd25844403e9d3f476c5537caee499de96376", size = 188230, upload-time = "2026-07-06T21:33:38.011Z" }, + { url = "https://files.pythonhosted.org/packages/14/d0/117dcd9209255ad8571fbc8c92ef32593a1d294dcec91ddc4e4db50606f2/cffi-2.1.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:eb4e8997a49aa2c08a3e43c9045d224448b8941d88e7ac163c7d383e560cbf98", size = 223899, upload-time = "2026-07-06T21:33:39.514Z" }, + { url = "https://files.pythonhosted.org/packages/b6/3d/f20f8b886b254e3ad10e15cd4186d3aed49f3e6a35ab37aab9f8f25f7c03/cffi-2.1.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:bf01d8c84cbea96b944c73b22182e6c7c432b3475632b8111dbfdc95ddad6e13", size = 211652, upload-time = "2026-07-06T21:33:40.851Z" }, + { url = "https://files.pythonhosted.org/packages/28/3b/fad54de07260b93ddeef4b96d0131d57ea900675df1d410ae1deee52d7a6/cffi-2.1.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:33eb1ad83ebe8f313e0df035c406227d55a79456704a863fad9842136af5ad7d", size = 210755, upload-time = "2026-07-06T21:33:42.183Z" }, + { url = "https://files.pythonhosted.org/packages/cc/82/3d5c705acb7abbba9bbd7d79b8e62e0f25b6120eb7ae6ac49f1b721722fe/cffi-2.1.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ac0f1a2d0cfa7eea3f2aaf006ab6e70e8feeb16b75d65b7e5939982ca2f11056", size = 223933, upload-time = "2026-07-06T21:33:43.603Z" }, + { url = "https://files.pythonhosted.org/packages/6c/d0/47e338384ab6b1004241002fa616301020cea4fc95f283506565d252f276/cffi-2.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c16914df9fb7f500e440e6875fa23ff5e0b31db01fa9c06af98d59a91f0dc2e4", size = 226749, upload-time = "2026-07-06T21:33:45.046Z" }, + { url = "https://files.pythonhosted.org/packages/70/25/65bd5b58ea4bfdfc15cde02cb5365f89ef8ab8b2adfb8fe5c4bd4233382f/cffi-2.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5ecbd0499275d57506d397eebe1981cee87b47fcd9ef5c22cab7ed7644a39a94", size = 225703, upload-time = "2026-07-06T21:33:46.374Z" }, + { url = "https://files.pythonhosted.org/packages/dc/78/aa01ac599a8a4322533d45a1f9bc93b338276d2d59dabbe7c6d92a775c81/cffi-2.1.0-cp314-cp314t-win32.whl", hash = "sha256:7d034dcffa09e9a46c93fa3a3be402096cb5354ac6e41ab8e5cc9cd8b642ad76", size = 182857, upload-time = "2026-07-06T21:33:47.696Z" }, + { url = "https://files.pythonhosted.org/packages/b9/26/d00496b22de4d4228f32dde94ad996f350c8aad676d63bcca0743c8dea4d/cffi-2.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:0582a58f3051372229ca8e7f5f589f9e5632678208d8636fea3676711fdf7fe5", size = 194065, upload-time = "2026-07-06T21:33:48.953Z" }, + { url = "https://files.pythonhosted.org/packages/d5/dd/0c7dbf815a579ff005008a2d815a55d6bb047c349eef536d9dc53d3f0a8d/cffi-2.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:510aeeeac94811b138077451da1fb18b308a5feab47dd2b603af55804155e1c8", size = 186404, upload-time = "2026-07-06T21:33:50.309Z" }, ] [[package]] @@ -287,6 +324,32 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d0/a3/53ddae3db108a088156aa8ddfafd411ebbc1340f48c5573f697b27f69a39/charset_normalizer-3.4.9-cp313-cp313-win32.whl", hash = "sha256:51307f5c71007673a2bf8232ad973483d281e74cb99c8c5a990af1eefa6277d9", size = 150622, upload-time = "2026-07-07T14:33:50.711Z" }, { url = "https://files.pythonhosted.org/packages/e8/ef/6953a77c7cf2c2ff9998e6f575ab3e380119f100223381565a4f94c1f836/charset_normalizer-3.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:fe2c7201c642b7c308f1675355ad7ff7b66acfe3541625efe5a3ad38f29d6115", size = 161947, upload-time = "2026-07-07T14:33:52.197Z" }, { url = "https://files.pythonhosted.org/packages/6e/fb/d560d1d1555debbfe7849d9cac6145c1b537709d79576bf22557ed803b82/charset_normalizer-3.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:611057cc5d5c0afc743ba8be6bd828c17e0aaa8643f9d0a9b9bb7dea80eb8012", size = 152594, upload-time = "2026-07-07T14:33:53.486Z" }, + { url = "https://files.pythonhosted.org/packages/7e/8d/496817fa0944239ecae662dd57ea765cfeaec6a735f9f025d4b7b72e7143/charset_normalizer-3.4.9-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:0327fcd59a935777d83410750c50600ee9571af2846f71ce40f25b13da1ef380", size = 317253, upload-time = "2026-07-07T14:33:54.994Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f9/ef4a69ea338ad3c0deceea0f5f7d2380ae8b52132b06d652cb0d2cd86706/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a79d9f4d8001473a30c163556b3c3bfebec837495a412dde78b51672f6134f9", size = 215898, upload-time = "2026-07-07T14:33:56.334Z" }, + { url = "https://files.pythonhosted.org/packages/8c/e7/5ddfd76fc061eb52de219658a4aa431cbacadf0a0219c8854f00da50d289/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:33bdcc2a32c0a0e861f60841a512c8acc658c87c2ac59d89e3a46dacf7d866e4", size = 236718, upload-time = "2026-07-07T14:33:57.9Z" }, + { url = "https://files.pythonhosted.org/packages/49/ba/768fa3f36048d81c477a0ce61f813bc1454d80917ccfe550abd9f44f5e24/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:f840ed6d8ecba8255df8c42b87fadeda98ddfc6eeec05e2dc66e26d46dd6f58a", size = 232519, upload-time = "2026-07-07T14:33:59.811Z" }, + { url = "https://files.pythonhosted.org/packages/f4/c4/b3e049d2aa3766180c78507110543d9d50894cc97f57de543f1be521dcdc/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c25fe15c70c59eb7c5ce8c06a1f3fa1da0ecc5ea1e7a5922c40fd2fa9b0d5046", size = 223143, upload-time = "2026-07-07T14:34:01.517Z" }, + { url = "https://files.pythonhosted.org/packages/19/79/55c32d06d76ae4feafe053f061f3e3ab70bcf19f4007797ce8c3efda7830/charset_normalizer-3.4.9-cp314-cp314-manylinux_2_31_armv7l.whl", hash = "sha256:f7fb7d750cfa0a070d2c24e831fd3481019a60dd317ea2b39acbcebc08b6ed81", size = 206742, upload-time = "2026-07-07T14:34:03.04Z" }, + { url = "https://files.pythonhosted.org/packages/10/e0/47c079dd82d217c807479cd59ffd30af56307ea31c108b75758970459ad3/charset_normalizer-3.4.9-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:4d1c96a7a18b9690a4d46df09e3e3382406ae3213727cd1019ebade1c4a81917", size = 219191, upload-time = "2026-07-07T14:34:04.657Z" }, + { url = "https://files.pythonhosted.org/packages/42/ab/b9bc2e77d6b44a7e46ef62ec5cac1c9a6ba7b9135a5d560f002696ec9995/charset_normalizer-3.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a4cfde78a9f2880208d16a93b795726a3017d5977e08d1e162a7a31322479c41", size = 218328, upload-time = "2026-07-07T14:34:06.115Z" }, + { url = "https://files.pythonhosted.org/packages/f1/78/c9c71d599f5aa2d42bcdd35cbbd46d7f535351a57e40ff7d8e5a7e219401/charset_normalizer-3.4.9-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:d4d6fcde76f94f5cb9e43e9e9a61f16dacefd228cbbf6f1a09bd9b219a92f1a1", size = 207406, upload-time = "2026-07-07T14:34:07.554Z" }, + { url = "https://files.pythonhosted.org/packages/f6/39/c914445c321a845097ce4f6ac7de9a18228a77b766272125a1ce00d851eb/charset_normalizer-3.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:898f0e9068ca27d37f8e83a5b962821df851532e6c4a7d615c1c033f9da6eedf", size = 225157, upload-time = "2026-07-07T14:34:09.061Z" }, + { url = "https://files.pythonhosted.org/packages/9b/f2/c0d4b8508565a36bc5c624e88ed297f5b0b1095011034d7f5b83a69908b5/charset_normalizer-3.4.9-cp314-cp314-win32.whl", hash = "sha256:c1c948747b03be832dceed96ca815cef7360de9aa19d37c730f8e3f6101aca48", size = 151095, upload-time = "2026-07-07T14:34:10.901Z" }, + { url = "https://files.pythonhosted.org/packages/49/fd/a1d26144398c67486422a72bf5812cda22cb4ccfcd95a290fb41ceb4b8e2/charset_normalizer-3.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:16b65ea0f2465b6fb52aa22de5eca612aa964ddfec00a912e26f4656cbef890b", size = 162796, upload-time = "2026-07-07T14:34:12.47Z" }, + { url = "https://files.pythonhosted.org/packages/20/95/d75e82f8ce9fd323ebf059c16c9aadefb22a1ecde13b7840b35835e4886c/charset_normalizer-3.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:40a126142a56b2dfc0aacbad1de8310cbf60da7656db0e6b16eebd48e3e93519", size = 153334, upload-time = "2026-07-07T14:34:14.044Z" }, + { url = "https://files.pythonhosted.org/packages/00/5e/17398df3a139985ba9d11ed072531986f408c8fca952835ef1ab1820c02b/charset_normalizer-3.4.9-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:609b3ba8fcc0fb5ab7af00719d0fb6ad0cb518e48e7712d12fd68f1327951198", size = 338848, upload-time = "2026-07-07T14:34:15.688Z" }, + { url = "https://files.pythonhosted.org/packages/cd/91/7253a32e86b7e1d1239b1b36ba6dd0f021a21107ab33054b53119cc083b9/charset_normalizer-3.4.9-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:51447e9aa2684679af07ca5021c3db526e0284347ebf4ffcec1154c3350cfe32", size = 223022, upload-time = "2026-07-07T14:34:17.248Z" }, + { url = "https://files.pythonhosted.org/packages/cb/32/2e64bd2be10e89c61e57ebe6a93fd98ae88eb7ebe414b5121f22c96c69eb/charset_normalizer-3.4.9-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cc1b0fff8ead343dae06305f954eb8468ba0ec1a97881f42489d198e4ce3c632", size = 241590, upload-time = "2026-07-07T14:34:18.813Z" }, + { url = "https://files.pythonhosted.org/packages/3d/ef/d96ec496cfea0c21db43b0ad03891308b02388d054cc902cf0e5a1ad6a88/charset_normalizer-3.4.9-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:fa36ec09ef71d158186bc79e359ff5fdd6e7996fe8ab638f00d6b93139ba4fcf", size = 239584, upload-time = "2026-07-07T14:34:20.52Z" }, + { url = "https://files.pythonhosted.org/packages/d4/ce/9af95f7876194bd7a14e3dfe4a4de2e0bff02666a3910d72beafd06cc297/charset_normalizer-3.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:df115d4d83168fdf2cae48ef1ff6d1cb4c466364e30861b37121de0f3bf1b990", size = 230224, upload-time = "2026-07-07T14:34:22.189Z" }, + { url = "https://files.pythonhosted.org/packages/52/94/af74dde74a3996bd959c350709bfe50e297823d70a8c1cbd54b838880863/charset_normalizer-3.4.9-cp314-cp314t-manylinux_2_31_armv7l.whl", hash = "sha256:f86c6358749bd4fda175388691e3ba8c46e24c5347d0afd20f9b7edfc9faf07d", size = 212667, upload-time = "2026-07-07T14:34:23.857Z" }, + { url = "https://files.pythonhosted.org/packages/ee/f0/f1c4fe746c395922961b5916ed1d7d6e7d4c84851d19ed43cc89980ec953/charset_normalizer-3.4.9-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:32286a2c8d167e897177b673176c1e3e00d4057caf5d2b64eef9a3666b03018e", size = 227179, upload-time = "2026-07-07T14:34:25.586Z" }, + { url = "https://files.pythonhosted.org/packages/e4/56/6c745619ac397e8871e2bcd3cea1eec86b877488f33888b3aef5c3ed506e/charset_normalizer-3.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:83aed2c10721ddd90f68140685391b50811a880af20654c59af6b6c66c40513c", size = 225372, upload-time = "2026-07-07T14:34:27.212Z" }, + { url = "https://files.pythonhosted.org/packages/78/ad/98aae8630ac71f16711968e38a5acfecce41b778bf2f0312851020f565a8/charset_normalizer-3.4.9-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:cd6c3d4b783c556fa00bf540854e42f135e2f256abd29669fcd0da0f2dec79c2", size = 215222, upload-time = "2026-07-07T14:34:28.774Z" }, + { url = "https://files.pythonhosted.org/packages/f7/40/9593d54209765207a7f11073c06494c1721e4ca4a0a426c597679bf7f91e/charset_normalizer-3.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ee2f2a527e3c1a6e6411eb4209642e138b544a2d72fe5d0d76daf77b24063534", size = 231958, upload-time = "2026-07-07T14:34:30.345Z" }, + { url = "https://files.pythonhosted.org/packages/b1/27/693ee5e8a18191eb38647360c51cd505013e2bd3b366aa43fd5344c21e3c/charset_normalizer-3.4.9-cp314-cp314t-win32.whl", hash = "sha256:0d861473f743244d349b50f850d10eb87aeb22bbdcc8e64f79273c94af5a8226", size = 155580, upload-time = "2026-07-07T14:34:31.884Z" }, + { url = "https://files.pythonhosted.org/packages/80/3f/bd97d3d9c613013d07cb7733d299385b41df37f0471310f5a73dc359f0b8/charset_normalizer-3.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:9b8e0f3107e2200b76f6054de99016eac3ee6762713587b36baaa7e4bd2ae177", size = 167620, upload-time = "2026-07-07T14:34:33.438Z" }, + { url = "https://files.pythonhosted.org/packages/3d/c6/eee9dca4439b1061f76373f06ea855678cc4a64c1c3c90b50e479edbb8eb/charset_normalizer-3.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:19ac87f93086ce37b86e098888555c4b4bc48102279bae3350098c0ed664b501", size = 158037, upload-time = "2026-07-07T14:34:35.018Z" }, { url = "https://files.pythonhosted.org/packages/98/2b/f97f1c193fb855c345d678f5077d6926034db0722df74c8f057020e05a25/charset_normalizer-3.4.9-py3-none-any.whl", hash = "sha256:68e5f26a1ad57ded6d1cfb85331d1c1a195314756471d97758c48498bb4dcdf5", size = 64538, upload-time = "2026-07-07T14:34:56.993Z" }, ] @@ -383,9 +446,12 @@ name = "contourpy" version = "1.3.3" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -439,6 +505,28 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" }, { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" }, { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" }, + { url = "https://files.pythonhosted.org/packages/72/8b/4546f3ab60f78c514ffb7d01a0bd743f90de36f0019d1be84d0a708a580a/contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a", size = 292189, upload-time = "2025-07-26T12:02:16.095Z" }, + { url = "https://files.pythonhosted.org/packages/fd/e1/3542a9cb596cadd76fcef413f19c79216e002623158befe6daa03dbfa88c/contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77", size = 273251, upload-time = "2025-07-26T12:02:17.524Z" }, + { url = "https://files.pythonhosted.org/packages/b1/71/f93e1e9471d189f79d0ce2497007731c1e6bf9ef6d1d61b911430c3db4e5/contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5", size = 335810, upload-time = "2025-07-26T12:02:18.9Z" }, + { url = "https://files.pythonhosted.org/packages/91/f9/e35f4c1c93f9275d4e38681a80506b5510e9327350c51f8d4a5a724d178c/contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4", size = 382871, upload-time = "2025-07-26T12:02:20.418Z" }, + { url = "https://files.pythonhosted.org/packages/b5/71/47b512f936f66a0a900d81c396a7e60d73419868fba959c61efed7a8ab46/contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36", size = 386264, upload-time = "2025-07-26T12:02:21.916Z" }, + { url = "https://files.pythonhosted.org/packages/04/5f/9ff93450ba96b09c7c2b3f81c94de31c89f92292f1380261bd7195bea4ea/contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3", size = 363819, upload-time = "2025-07-26T12:02:23.759Z" }, + { url = "https://files.pythonhosted.org/packages/3e/a6/0b185d4cc480ee494945cde102cb0149ae830b5fa17bf855b95f2e70ad13/contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b", size = 1333650, upload-time = "2025-07-26T12:02:26.181Z" }, + { url = "https://files.pythonhosted.org/packages/43/d7/afdc95580ca56f30fbcd3060250f66cedbde69b4547028863abd8aa3b47e/contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36", size = 1404833, upload-time = "2025-07-26T12:02:28.782Z" }, + { url = "https://files.pythonhosted.org/packages/e2/e2/366af18a6d386f41132a48f033cbd2102e9b0cf6345d35ff0826cd984566/contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d", size = 189692, upload-time = "2025-07-26T12:02:30.128Z" }, + { url = "https://files.pythonhosted.org/packages/7d/c2/57f54b03d0f22d4044b8afb9ca0e184f8b1afd57b4f735c2fa70883dc601/contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd", size = 232424, upload-time = "2025-07-26T12:02:31.395Z" }, + { url = "https://files.pythonhosted.org/packages/18/79/a9416650df9b525737ab521aa181ccc42d56016d2123ddcb7b58e926a42c/contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339", size = 198300, upload-time = "2025-07-26T12:02:32.956Z" }, + { url = "https://files.pythonhosted.org/packages/1f/42/38c159a7d0f2b7b9c04c64ab317042bb6952b713ba875c1681529a2932fe/contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772", size = 306769, upload-time = "2025-07-26T12:02:34.2Z" }, + { url = "https://files.pythonhosted.org/packages/c3/6c/26a8205f24bca10974e77460de68d3d7c63e282e23782f1239f226fcae6f/contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77", size = 287892, upload-time = "2025-07-26T12:02:35.807Z" }, + { url = "https://files.pythonhosted.org/packages/66/06/8a475c8ab718ebfd7925661747dbb3c3ee9c82ac834ccb3570be49d129f4/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13", size = 326748, upload-time = "2025-07-26T12:02:37.193Z" }, + { url = "https://files.pythonhosted.org/packages/b4/a3/c5ca9f010a44c223f098fccd8b158bb1cb287378a31ac141f04730dc49be/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe", size = 375554, upload-time = "2025-07-26T12:02:38.894Z" }, + { url = "https://files.pythonhosted.org/packages/80/5b/68bd33ae63fac658a4145088c1e894405e07584a316738710b636c6d0333/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f", size = 388118, upload-time = "2025-07-26T12:02:40.642Z" }, + { url = "https://files.pythonhosted.org/packages/40/52/4c285a6435940ae25d7410a6c36bda5145839bc3f0beb20c707cda18b9d2/contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0", size = 352555, upload-time = "2025-07-26T12:02:42.25Z" }, + { url = "https://files.pythonhosted.org/packages/24/ee/3e81e1dd174f5c7fefe50e85d0892de05ca4e26ef1c9a59c2a57e43b865a/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4", size = 1322295, upload-time = "2025-07-26T12:02:44.668Z" }, + { url = "https://files.pythonhosted.org/packages/3c/b2/6d913d4d04e14379de429057cd169e5e00f6c2af3bb13e1710bcbdb5da12/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f", size = 1391027, upload-time = "2025-07-26T12:02:47.09Z" }, + { url = "https://files.pythonhosted.org/packages/93/8a/68a4ec5c55a2971213d29a9374913f7e9f18581945a7a31d1a39b5d2dfe5/contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae", size = 202428, upload-time = "2025-07-26T12:02:48.691Z" }, + { url = "https://files.pythonhosted.org/packages/fa/96/fd9f641ffedc4fa3ace923af73b9d07e869496c9cc7a459103e6e978992f/contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc", size = 250331, upload-time = "2025-07-26T12:02:50.137Z" }, + { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" }, { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" }, { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" }, { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" }, @@ -477,6 +565,10 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/48/57/412421516afc3055fa577516f00beec3d663f9b0ab330639547ae6c57720/debugpy-1.8.21-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:ecbd158386c31ffe71d46f72d44d56e66331ab9b16cad649156d514368f23ab2", size = 3962096, upload-time = "2026-06-01T19:30:59.235Z" }, { url = "https://files.pythonhosted.org/packages/c1/62/2c616337cf6ba7b07ebbc97f02c6c945a8e2f76b365e33ee809c32ee36d1/debugpy-1.8.21-cp313-cp313-win32.whl", hash = "sha256:2c2ae706dec41d99a9ca1f7ebc987a83e65578363be6f6b3ac9067504917fae1", size = 5336288, upload-time = "2026-06-01T19:31:00.79Z" }, { url = "https://files.pythonhosted.org/packages/f8/99/9175103392f84c4b1bf7622888cdc68da07f0ff7d9e581266428f6776033/debugpy-1.8.21-cp313-cp313-win_amd64.whl", hash = "sha256:aa648733047443eb1d07682c4ef287d36a54507b643ffdf38b09a3ef002c72a0", size = 5376567, upload-time = "2026-06-01T19:31:02.56Z" }, + { url = "https://files.pythonhosted.org/packages/ce/3d/f4bbb323a548bfab2af3d6b4ffd9bf22636e55956a1285d317a1de643aad/debugpy-1.8.21-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:9bb2a685287a2ac9b181cde89edcec64845cb51de7faaa75badb9a698bc24782", size = 2477209, upload-time = "2026-06-01T19:31:04.157Z" }, + { url = "https://files.pythonhosted.org/packages/8c/2d/6e7ec524984a1702777868de49a4c53202bddac2a432a76a093469587750/debugpy-1.8.21-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:3d6922439bf33fd38a3e2c447869ebc7b97da5cd3d329ff1ef9bc06c4903437e", size = 3927115, upload-time = "2026-06-01T19:31:05.863Z" }, + { url = "https://files.pythonhosted.org/packages/97/47/d1aa6d64005a98a9144647d99306b419396f9ad7bf1d73c119e17a81fb4d/debugpy-1.8.21-cp314-cp314-win32.whl", hash = "sha256:15d4963bd5ffa48f0da0947fd06757fa7621945048a14ad7705431566d3c0e7c", size = 5336724, upload-time = "2026-06-01T19:31:07.711Z" }, + { url = "https://files.pythonhosted.org/packages/5f/67/b905b90d163af11878c1af8abafa4a25206335e112e284e413454543a6da/debugpy-1.8.21-cp314-cp314-win_amd64.whl", hash = "sha256:fe0744a12353406de0ae8ccff0d0a4a666f00801a3db8fd04e7a5f761cd520e8", size = 5373803, upload-time = "2026-06-01T19:31:09.469Z" }, { url = "https://files.pythonhosted.org/packages/95/51/67e7cf11a53e40694f720457d5b3a1cdaaa3d5a9a633e482f225456b93ff/debugpy-1.8.21-py2.py3-none-any.whl", hash = "sha256:b1e37d333663c8851516a47364ef473da127f9caebe4417e6df6f5825a7e9a92", size = 5352888, upload-time = "2026-06-01T19:31:25.186Z" }, ] @@ -566,6 +658,22 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7e/48/cc4b66d9058c0d0982c833fad10127c4b0e9324606aafa41382295ca4102/fonttools-4.63.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9ced0bd02ac751dd6319b0da88aaef24414e3b0dbc32bb4f24944821a3741a27", size = 5105892, upload-time = "2026-05-14T12:03:43.525Z" }, { url = "https://files.pythonhosted.org/packages/d8/1f/a98a30a814b9ddef3a2e706025f90b9e0bc94890e6cb15254bc86547d11a/fonttools-4.63.0-cp313-cp313-win32.whl", hash = "sha256:85be818f5506e8a7753153def2c9550178f0ecae6a47b5e0e8dbb23f7cc90380", size = 2291313, upload-time = "2026-05-14T12:03:45.594Z" }, { url = "https://files.pythonhosted.org/packages/92/46/5177b01f3b4abfdd4409f31cca4ab279c9343a26efbe9ec78c97fc612e02/fonttools-4.63.0-cp313-cp313-win_amd64.whl", hash = "sha256:ba04cb5891d4c0c21b6da95eda8d7b090021508a294fff33464fc7d241e0856b", size = 2342299, upload-time = "2026-05-14T12:03:47.414Z" }, + { url = "https://files.pythonhosted.org/packages/27/d2/23d25e3f247b328be58d04a4c9f894178a0d1eda7d42867cfb388adaf416/fonttools-4.63.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fd1e3094f42d806d3d7c79162fc59e5910fcbe3a7360c385b8da969bc4493745", size = 2875338, upload-time = "2026-05-14T12:03:50.052Z" }, + { url = "https://files.pythonhosted.org/packages/cd/58/7dfa0c761cb3b2964e2a84c4dc986c926a87de0cb9fb60d5b28ded3f2914/fonttools-4.63.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:6e528da43bc3791085f8cb6141b1d13e459226790240340fcbb4625649238b03", size = 2422661, upload-time = "2026-05-14T12:03:52.154Z" }, + { url = "https://files.pythonhosted.org/packages/dd/87/64cfa18a7a1621d17b7f4502b2b0ed8a135a90c3db51ea590ee99043e76b/fonttools-4.63.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b2248c5decb223562f7902ff6325077a073f608ee8e33e88ad88db734eb9f49", size = 5010526, upload-time = "2026-05-14T12:03:54.647Z" }, + { url = "https://files.pythonhosted.org/packages/36/e1/a8933a72c45a87177fbde2696e0d0755c8c9062f8c077a961c6215fa27b1/fonttools-4.63.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:308f957cdeaf8abe4e5f2f124902ef405448af92c90f80e302a3b771c2e6116b", size = 4923946, upload-time = "2026-05-14T12:03:56.984Z" }, + { url = "https://files.pythonhosted.org/packages/27/60/872e6e233b8c5e8b41413796ff18b7fe479661bd40147e071b450dfad7a1/fonttools-4.63.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:bf00f21eb5fb721dbaf73d1e9da6d02a1af7768f2ebcf9798be98beab8ba90f6", size = 4962489, upload-time = "2026-05-14T12:03:59.443Z" }, + { url = "https://files.pythonhosted.org/packages/30/c4/83c24f2ec38b90cfda84bf4b1a1f49df80e84a1db4e7ac6e0d41bf23bc39/fonttools-4.63.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c1aaa4b9c75798400ac043ce04d74e7830376c85095a5a6ed7cba2f17a266bf4", size = 5071870, upload-time = "2026-05-14T12:04:02.122Z" }, + { url = "https://files.pythonhosted.org/packages/de/40/3ae22b60ff1d41ce0bd044b31238cdc72cef99f28b976f1e128ebd618c9b/fonttools-4.63.0-cp314-cp314-win32.whl", hash = "sha256:22693918177bd9ceabec4736d338045f357769416fc6b0b2508eefef75b08616", size = 2295026, upload-time = "2026-05-14T12:04:04.47Z" }, + { url = "https://files.pythonhosted.org/packages/c3/d4/98078064ccc76b45cb0f6c002452011e93c4bd26f6850344f0951cc1fe89/fonttools-4.63.0-cp314-cp314-win_amd64.whl", hash = "sha256:7d782fac32985914c351556f68ac0855391572bcd87de50e05970d3cd4c96fc5", size = 2347454, upload-time = "2026-05-14T12:04:06.752Z" }, + { url = "https://files.pythonhosted.org/packages/49/4e/652d1580c5f4e39f7d103b0c793e4773129ad633dce4addd0cf4dfebde02/fonttools-4.63.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:6db5140a60a5d731d21ec076745b40a310607731b0a565b50776393188649001", size = 2958152, upload-time = "2026-05-14T12:04:08.706Z" }, + { url = "https://files.pythonhosted.org/packages/0e/55/ad864c9a9b219f552eb46b32cd7906c466e5a578ba0c3abfcc0fe7413eb6/fonttools-4.63.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:7d76edbff9014094dbf03bd2d074709dfa6ec7aba13d838c937a2b33d2d6a86e", size = 2460809, upload-time = "2026-05-14T12:04:10.783Z" }, + { url = "https://files.pythonhosted.org/packages/ea/2b/0aa8db70f18cf52e49b4ed5ecec68547f981160bf5ded3b5aed6faa0a6f9/fonttools-4.63.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0eac00b9118c3c2f87d272e45341871c5b3066baa3c86897fa634a7c3fb59096", size = 5148649, upload-time = "2026-05-14T12:04:12.747Z" }, + { url = "https://files.pythonhosted.org/packages/7f/63/18e4369c25043096f1048e0c9915951adc4f842bd81c6b18155824d6fa99/fonttools-4.63.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:51394295f1a51de8b5f30bdb1e1b9a4231536c7064ef5c6e211eec19fa36036f", size = 4932147, upload-time = "2026-05-14T12:04:14.806Z" }, + { url = "https://files.pythonhosted.org/packages/a1/3f/67f3eac2ffd8a98446c5022f8ed3864eac878a5ff7af8df4c8286dba16cc/fonttools-4.63.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:9e12f105d2b6342c559c298afb674006bb2893afc7102dcf8a1b55b0486b4e40", size = 5027237, upload-time = "2026-05-14T12:04:17.675Z" }, + { url = "https://files.pythonhosted.org/packages/1a/ba/4e6214cb38a7b04779e97bb7636de9a5c7f20af7018d03dee0b64c08510a/fonttools-4.63.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:796f27556dbe094c4824f75ca85267e4df776c79036c8441469a4df37038c196", size = 5053933, upload-time = "2026-05-14T12:04:20.818Z" }, + { url = "https://files.pythonhosted.org/packages/34/3b/214dcc19ee31d3d38fb5ad2755c11ef0514e5dc300bbaf41c0b69f393799/fonttools-4.63.0-cp314-cp314t-win32.whl", hash = "sha256:948428a275741f0b64b113c955425a953314f4b9ab9997f73a72c83e68e569c8", size = 2359326, upload-time = "2026-05-14T12:04:24.22Z" }, + { url = "https://files.pythonhosted.org/packages/dd/1e/3ff1a9b523058c2eeb6a9d50f5574e2a738200d0d94107d5bc4105e8da3f/fonttools-4.63.0-cp314-cp314t-win_amd64.whl", hash = "sha256:6d4741eb179121cab9eea4cb2393d24492373a260d7945006358c08cfbf45419", size = 2425829, upload-time = "2026-05-14T12:04:26.829Z" }, { url = "https://files.pythonhosted.org/packages/2c/47/c99d5268f354002ce80f8d029cd9d7d872969da1de8b93d32de4dc56d6f4/fonttools-4.63.0-py3-none-any.whl", hash = "sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d", size = 1164562, upload-time = "2026-05-14T12:04:29.092Z" }, ] @@ -702,9 +810,12 @@ name = "ipython" version = "9.15.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -1083,6 +1194,36 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1b/bd/877056304626943ff0f1f44c08f584300c199b887cb3176cd7e34f1515f1/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3", size = 2597482, upload-time = "2026-03-09T13:14:34.971Z" }, { url = "https://files.pythonhosted.org/packages/75/19/c60626c47bf0f8ac5dcf72c6c98e266d714f2fbbfd50cf6dab5ede3aaa50/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2", size = 2394328, upload-time = "2026-03-09T13:14:36.816Z" }, { url = "https://files.pythonhosted.org/packages/47/84/6a6d5e5bb8273756c27b7d810d47f7ef2f1f9b9fd23c9ee9a3f8c75c9cef/kiwisolver-1.5.0-cp313-cp313t-win_arm64.whl", hash = "sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53", size = 68410, upload-time = "2026-03-09T13:14:38.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/060f45052f2a01ad5762c8fdecd6d7a752b43400dc29ff75cd47225a40fd/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615", size = 123231, upload-time = "2026-03-09T13:14:41.323Z" }, + { url = "https://files.pythonhosted.org/packages/c2/a7/78da680eadd06ff35edef6ef68a1ad273bad3e2a0936c9a885103230aece/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02", size = 66489, upload-time = "2026-03-09T13:14:42.534Z" }, + { url = "https://files.pythonhosted.org/packages/49/b2/97980f3ad4fae37dd7fe31626e2bf75fbf8bdf5d303950ec1fab39a12da8/kiwisolver-1.5.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e", size = 64063, upload-time = "2026-03-09T13:14:44.759Z" }, + { url = "https://files.pythonhosted.org/packages/e7/f9/b06c934a6aa8bc91f566bd2a214fd04c30506c2d9e2b6b171953216a65b6/kiwisolver-1.5.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac", size = 1475913, upload-time = "2026-03-09T13:14:46.247Z" }, + { url = "https://files.pythonhosted.org/packages/6b/f0/f768ae564a710135630672981231320bc403cf9152b5596ec5289de0f106/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05", size = 1282782, upload-time = "2026-03-09T13:14:48.458Z" }, + { url = "https://files.pythonhosted.org/packages/e2/9f/1de7aad00697325f05238a5f2eafbd487fb637cc27a558b5367a5f37fb7f/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd", size = 1300815, upload-time = "2026-03-09T13:14:50.721Z" }, + { url = "https://files.pythonhosted.org/packages/5a/c2/297f25141d2e468e0ce7f7a7b92e0cf8918143a0cbd3422c1ad627e85a06/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a", size = 1347925, upload-time = "2026-03-09T13:14:52.304Z" }, + { url = "https://files.pythonhosted.org/packages/b9/d3/f4c73a02eb41520c47610207b21afa8cdd18fdbf64ffd94674ae21c4812d/kiwisolver-1.5.0-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554", size = 991322, upload-time = "2026-03-09T13:14:54.637Z" }, + { url = "https://files.pythonhosted.org/packages/7b/46/d3f2efef7732fcda98d22bf4ad5d3d71d545167a852ca710a494f4c15343/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581", size = 2232857, upload-time = "2026-03-09T13:14:56.471Z" }, + { url = "https://files.pythonhosted.org/packages/3f/ec/2d9756bf2b6d26ae4349b8d3662fb3993f16d80c1f971c179ce862b9dbae/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303", size = 2329376, upload-time = "2026-03-09T13:14:58.072Z" }, + { url = "https://files.pythonhosted.org/packages/8f/9f/876a0a0f2260f1bde92e002b3019a5fabc35e0939c7d945e0fa66185eb20/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9", size = 1982549, upload-time = "2026-03-09T13:14:59.668Z" }, + { url = "https://files.pythonhosted.org/packages/6c/4f/ba3624dfac23a64d54ac4179832860cb537c1b0af06024936e82ca4154a0/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79", size = 2494680, upload-time = "2026-03-09T13:15:01.364Z" }, + { url = "https://files.pythonhosted.org/packages/39/b7/97716b190ab98911b20d10bf92eca469121ec483b8ce0edd314f51bc85af/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796", size = 2297905, upload-time = "2026-03-09T13:15:03.925Z" }, + { url = "https://files.pythonhosted.org/packages/a3/36/4e551e8aa55c9188bca9abb5096805edbf7431072b76e2298e34fd3a3008/kiwisolver-1.5.0-cp314-cp314-win_amd64.whl", hash = "sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e", size = 75086, upload-time = "2026-03-09T13:15:07.775Z" }, + { url = "https://files.pythonhosted.org/packages/70/15/9b90f7df0e31a003c71649cf66ef61c3c1b862f48c81007fa2383c8bd8d7/kiwisolver-1.5.0-cp314-cp314-win_arm64.whl", hash = "sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df", size = 66577, upload-time = "2026-03-09T13:15:09.139Z" }, + { url = "https://files.pythonhosted.org/packages/17/01/7dc8c5443ff42b38e72731643ed7cf1ed9bf01691ae5cdca98501999ed83/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e", size = 125794, upload-time = "2026-03-09T13:15:10.525Z" }, + { url = "https://files.pythonhosted.org/packages/46/8a/b4ebe46ebaac6a303417fab10c2e165c557ddaff558f9699d302b256bc53/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4", size = 67646, upload-time = "2026-03-09T13:15:12.016Z" }, + { url = "https://files.pythonhosted.org/packages/60/35/10a844afc5f19d6f567359bf4789e26661755a2f36200d5d1ed8ad0126e5/kiwisolver-1.5.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028", size = 65511, upload-time = "2026-03-09T13:15:13.311Z" }, + { url = "https://files.pythonhosted.org/packages/f8/8a/685b297052dd041dcebce8e8787b58923b6e78acc6115a0dc9189011c44b/kiwisolver-1.5.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657", size = 1584858, upload-time = "2026-03-09T13:15:15.103Z" }, + { url = "https://files.pythonhosted.org/packages/9e/80/04865e3d4638ac5bddec28908916df4a3075b8c6cc101786a96803188b96/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920", size = 1392539, upload-time = "2026-03-09T13:15:16.661Z" }, + { url = "https://files.pythonhosted.org/packages/ba/01/77a19cacc0893fa13fafa46d1bba06fb4dc2360b3292baf4b56d8e067b24/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9", size = 1405310, upload-time = "2026-03-09T13:15:18.229Z" }, + { url = "https://files.pythonhosted.org/packages/53/39/bcaf5d0cca50e604cfa9b4e3ae1d64b50ca1ae5b754122396084599ef903/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d", size = 1456244, upload-time = "2026-03-09T13:15:20.444Z" }, + { url = "https://files.pythonhosted.org/packages/d0/7a/72c187abc6975f6978c3e39b7cf67aeb8b3c0a8f9790aa7fd412855e9e1f/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65", size = 1073154, upload-time = "2026-03-09T13:15:22.039Z" }, + { url = "https://files.pythonhosted.org/packages/c7/ca/cf5b25783ebbd59143b4371ed0c8428a278abe68d6d0104b01865b1bbd0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa", size = 2334377, upload-time = "2026-03-09T13:15:23.741Z" }, + { url = "https://files.pythonhosted.org/packages/4a/e5/b1f492adc516796e88751282276745340e2a72dcd0d36cf7173e0daf3210/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0", size = 2425288, upload-time = "2026-03-09T13:15:25.789Z" }, + { url = "https://files.pythonhosted.org/packages/e6/e5/9b21fbe91a61b8f409d74a26498706e97a48008bfcd1864373d32a6ba31c/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9", size = 2063158, upload-time = "2026-03-09T13:15:27.63Z" }, + { url = "https://files.pythonhosted.org/packages/b1/02/83f47986138310f95ea95531f851b2a62227c11cbc3e690ae1374fe49f0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f", size = 2597260, upload-time = "2026-03-09T13:15:29.421Z" }, + { url = "https://files.pythonhosted.org/packages/07/18/43a5f24608d8c313dd189cf838c8e68d75b115567c6279de7796197cfb6a/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646", size = 2394403, upload-time = "2026-03-09T13:15:31.517Z" }, + { url = "https://files.pythonhosted.org/packages/3b/b5/98222136d839b8afabcaa943b09bd05888c2d36355b7e448550211d1fca4/kiwisolver-1.5.0-cp314-cp314t-win_amd64.whl", hash = "sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681", size = 79687, upload-time = "2026-03-09T13:15:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/99/a2/ca7dc962848040befed12732dff6acae7fb3c4f6fc4272b3f6c9a30b8713/kiwisolver-1.5.0-cp314-cp314t-win_arm64.whl", hash = "sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57", size = 70032, upload-time = "2026-03-09T13:15:34.411Z" }, { url = "https://files.pythonhosted.org/packages/1c/fa/2910df836372d8761bb6eff7d8bdcb1613b5c2e03f260efe7abe34d388a7/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_10_13_x86_64.whl", hash = "sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797", size = 130262, upload-time = "2026-03-09T13:15:35.629Z" }, { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" }, { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" }, @@ -1130,6 +1271,14 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1b/4a/90715fa12006d681270b08d881195b6fab3ec39572e048764a1f7f59fed7/llvmlite-0.48.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8761b9e522f55207e24424fcd98370289eec2710bf8e915c82d1053f642450dc", size = 59890120, upload-time = "2026-07-01T18:42:00.748Z" }, { url = "https://files.pythonhosted.org/packages/70/5e/7b3e20d64650ca3c80af0cdb664ec4b575ec83d9d4dd05bea8bd31f9bbb6/llvmlite-0.48.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2fe5cb59b2063bfa039dcb8ca6481c0181bf552f340d10dcf61d7996a665556e", size = 58343457, upload-time = "2026-07-01T18:41:56.41Z" }, { url = "https://files.pythonhosted.org/packages/17/97/5a430055d1838cf1fb7a01cfa943300f5e4c026fc6333a522c5e4a03b0c1/llvmlite-0.48.0-cp313-cp313-win_amd64.whl", hash = "sha256:91c7e24e74cde3f02b88aa5acca678373f9e069f3b98531b3dbb3a142d9d10bb", size = 41865022, upload-time = "2026-07-01T18:42:04.57Z" }, + { url = "https://files.pythonhosted.org/packages/8d/8e/8170f2e0c217f88069c333d85bb976e536b332aecfcce606ddbdb249385f/llvmlite-0.48.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:321f1ac39b462603f0b589751aecf2d237d056f6d005749c1752b6f23ec3f074", size = 40480650, upload-time = "2026-07-01T18:42:07.935Z" }, + { url = "https://files.pythonhosted.org/packages/d6/e1/05b50692b647cac3c18200ac485b04f342f00ed173c9cc46767274469a15/llvmlite-0.48.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:05f0103c8f2f96a37441337e3643863c01b8e83e530aff38960dcb383c54a065", size = 59890115, upload-time = "2026-07-01T18:42:17.805Z" }, + { url = "https://files.pythonhosted.org/packages/f7/c3/470b8c4ff9ae2db2f9cf5c3e73de76ed908a32788ae9eb5602d43e6a476b/llvmlite-0.48.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:37d66fae72802175b0bfe1ea06e624b51e2d7aee6c3c34bbd09739b8f88e8e0b", size = 58343457, upload-time = "2026-07-01T18:42:13.217Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2d/6a5171fb7236ac0895e1a02ccba3735bf291e8597239aa6421894d3c0ba8/llvmlite-0.48.0-cp314-cp314-win_amd64.whl", hash = "sha256:966dcab0a598e2bd8fb5f2cc082cf7b07bae564fc485a3a8692393caf986facf", size = 42986372, upload-time = "2026-07-01T18:42:21.483Z" }, + { url = "https://files.pythonhosted.org/packages/94/e3/7a93e09c9f94e637ca90209ceef0334a9a1d45b0bdb7c92ff922d25d6187/llvmlite-0.48.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:7a5c413317050a1d67c34708bde97707f9b2257ef1017f7532d21fe7d9a9ff30", size = 40480654, upload-time = "2026-07-01T18:42:25.076Z" }, + { url = "https://files.pythonhosted.org/packages/27/98/a29133b4728671a175f7d616fab8b1c6e1d8c269d1523581d3160697bfb1/llvmlite-0.48.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d9f952dff6c350c529997423d4fa43abae9722a884ac7ffafc37a3af676e7db", size = 59890119, upload-time = "2026-07-01T18:42:33.88Z" }, + { url = "https://files.pythonhosted.org/packages/1a/cf/7aac11a1f1c7ec54b60c7f6814e87561fb6b55b2f290455d7941eb113420/llvmlite-0.48.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:054aa7d46595935565f276cf0c1659b4f10929c996dd4a606875fae26fba2a23", size = 58343460, upload-time = "2026-07-01T18:42:29.545Z" }, + { url = "https://files.pythonhosted.org/packages/db/41/b96f440c7df5ebba07872cad4e30fbc3560387755b1ea0b629adb76d5ca8/llvmlite-0.48.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d0b3c61aac83b42fb48cc96bffbf57c81b82b2aa92276b7ed6420c814629a99a", size = 42986383, upload-time = "2026-07-01T18:42:37.544Z" }, ] [[package]] @@ -1193,6 +1342,28 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload-time = "2025-09-27T18:37:02.639Z" }, { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload-time = "2025-09-27T18:37:03.582Z" }, { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload-time = "2025-09-27T18:37:04.929Z" }, + { url = "https://files.pythonhosted.org/packages/33/8a/8e42d4838cd89b7dde187011e97fe6c3af66d8c044997d2183fbd6d31352/markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe", size = 11619, upload-time = "2025-09-27T18:37:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/b5/64/7660f8a4a8e53c924d0fa05dc3a55c9cee10bbd82b11c5afb27d44b096ce/markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026", size = 12029, upload-time = "2025-09-27T18:37:07.213Z" }, + { url = "https://files.pythonhosted.org/packages/da/ef/e648bfd021127bef5fa12e1720ffed0c6cbb8310c8d9bea7266337ff06de/markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737", size = 24408, upload-time = "2025-09-27T18:37:09.572Z" }, + { url = "https://files.pythonhosted.org/packages/41/3c/a36c2450754618e62008bf7435ccb0f88053e07592e6028a34776213d877/markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97", size = 23005, upload-time = "2025-09-27T18:37:10.58Z" }, + { url = "https://files.pythonhosted.org/packages/bc/20/b7fdf89a8456b099837cd1dc21974632a02a999ec9bf7ca3e490aacd98e7/markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d", size = 22048, upload-time = "2025-09-27T18:37:11.547Z" }, + { url = "https://files.pythonhosted.org/packages/9a/a7/591f592afdc734f47db08a75793a55d7fbcc6902a723ae4cfbab61010cc5/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda", size = 23821, upload-time = "2025-09-27T18:37:12.48Z" }, + { url = "https://files.pythonhosted.org/packages/7d/33/45b24e4f44195b26521bc6f1a82197118f74df348556594bd2262bda1038/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf", size = 21606, upload-time = "2025-09-27T18:37:13.485Z" }, + { url = "https://files.pythonhosted.org/packages/ff/0e/53dfaca23a69fbfbbf17a4b64072090e70717344c52eaaaa9c5ddff1e5f0/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe", size = 23043, upload-time = "2025-09-27T18:37:14.408Z" }, + { url = "https://files.pythonhosted.org/packages/46/11/f333a06fc16236d5238bfe74daccbca41459dcd8d1fa952e8fbd5dccfb70/markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9", size = 14747, upload-time = "2025-09-27T18:37:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/28/52/182836104b33b444e400b14f797212f720cbc9ed6ba34c800639d154e821/markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581", size = 15341, upload-time = "2025-09-27T18:37:16.496Z" }, + { url = "https://files.pythonhosted.org/packages/6f/18/acf23e91bd94fd7b3031558b1f013adfa21a8e407a3fdb32745538730382/markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4", size = 14073, upload-time = "2025-09-27T18:37:17.476Z" }, + { url = "https://files.pythonhosted.org/packages/3c/f0/57689aa4076e1b43b15fdfa646b04653969d50cf30c32a102762be2485da/markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab", size = 11661, upload-time = "2025-09-27T18:37:18.453Z" }, + { url = "https://files.pythonhosted.org/packages/89/c3/2e67a7ca217c6912985ec766c6393b636fb0c2344443ff9d91404dc4c79f/markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175", size = 12069, upload-time = "2025-09-27T18:37:19.332Z" }, + { url = "https://files.pythonhosted.org/packages/f0/00/be561dce4e6ca66b15276e184ce4b8aec61fe83662cce2f7d72bd3249d28/markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634", size = 25670, upload-time = "2025-09-27T18:37:20.245Z" }, + { url = "https://files.pythonhosted.org/packages/50/09/c419f6f5a92e5fadde27efd190eca90f05e1261b10dbd8cbcb39cd8ea1dc/markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50", size = 23598, upload-time = "2025-09-27T18:37:21.177Z" }, + { url = "https://files.pythonhosted.org/packages/22/44/a0681611106e0b2921b3033fc19bc53323e0b50bc70cffdd19f7d679bb66/markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e", size = 23261, upload-time = "2025-09-27T18:37:22.167Z" }, + { url = "https://files.pythonhosted.org/packages/5f/57/1b0b3f100259dc9fffe780cfb60d4be71375510e435efec3d116b6436d43/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5", size = 24835, upload-time = "2025-09-27T18:37:23.296Z" }, + { url = "https://files.pythonhosted.org/packages/26/6a/4bf6d0c97c4920f1597cc14dd720705eca0bf7c787aebc6bb4d1bead5388/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523", size = 22733, upload-time = "2025-09-27T18:37:24.237Z" }, + { url = "https://files.pythonhosted.org/packages/14/c7/ca723101509b518797fedc2fdf79ba57f886b4aca8a7d31857ba3ee8281f/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc", size = 23672, upload-time = "2025-09-27T18:37:25.271Z" }, + { url = "https://files.pythonhosted.org/packages/fb/df/5bd7a48c256faecd1d36edc13133e51397e41b73bb77e1a69deab746ebac/markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d", size = 14819, upload-time = "2025-09-27T18:37:26.285Z" }, + { url = "https://files.pythonhosted.org/packages/1a/8a/0402ba61a2f16038b48b39bccca271134be00c5c9f0f623208399333c448/markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9", size = 15426, upload-time = "2025-09-27T18:37:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/70/bc/6f1c2f612465f5fa89b95bead1f44dcb607670fd42891d8fdcd5d039f4f4/markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa", size = 14146, upload-time = "2025-09-27T18:37:28.327Z" }, ] [[package]] @@ -1249,6 +1420,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4c/3d/ed428c971139112ef730f62770654d609467346d09d4b62617e1afd68a5a/matplotlib-3.10.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:b2b9516251cb89ff618d757daec0e2ed1bf21248013844a853d87ef85ab3081d", size = 9680790, upload-time = "2026-04-24T00:13:10.009Z" }, { url = "https://files.pythonhosted.org/packages/e7/09/052e884aaf2b985c63cb79f715f1d5b6a3eaa7de78f6a52b9dbc077d5b53/matplotlib-3.10.9-cp313-cp313t-win_amd64.whl", hash = "sha256:e9fae004b941b23ff2edcf1567a857ed77bafc8086ffa258190462328434faf8", size = 8287571, upload-time = "2026-04-24T00:13:13.087Z" }, { url = "https://files.pythonhosted.org/packages/f4/38/ae27288e788c35a4250491422f3db7750366fc8c97d6f36fbdecfc1f5518/matplotlib-3.10.9-cp313-cp313t-win_arm64.whl", hash = "sha256:6b63d9c7c769b88ab81e10dc86e4e0607cf56817b9f9e6cf24b2a5f1693b8e38", size = 8188292, upload-time = "2026-04-24T00:13:15.546Z" }, + { url = "https://files.pythonhosted.org/packages/d6/e6/3bd8afd04949f02eabc1c17115ea5255e19cacd4d06fc5abdde4eeb0052c/matplotlib-3.10.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:172db52c9e683f5d12eaf57f0f54834190e12581fe1cc2a19595a8f5acb4e77d", size = 8321276, upload-time = "2026-04-24T00:13:18.318Z" }, + { url = "https://files.pythonhosted.org/packages/41/86/86231232fff41c9f8e4a1a7d7a597d349a02527109c3af7d618366122139/matplotlib-3.10.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:97e35e8d39ccc85859095e01a53847432ba9a53ddf7986f7a54a11b73d0e143f", size = 8218218, upload-time = "2026-04-24T00:13:20.974Z" }, + { url = "https://files.pythonhosted.org/packages/85/8f/becc9722cafc64f5d2eb0b7c1bf5f585271c618a45dbd8fabeb021f898b6/matplotlib-3.10.9-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aba1615dabe83188e19d4f75a253c6a08423e04c1425e64039f800050a69de6b", size = 9608145, upload-time = "2026-04-24T00:13:23.228Z" }, + { url = "https://files.pythonhosted.org/packages/32/5d/f7e914f7d9325abff4057cee62c0fa70263683189f774473cbfb534cd13b/matplotlib-3.10.9-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:34cf8167e023ad956c15f36302911d5406bd99a9862c1a8499ea6f7c0e015dc2", size = 9885085, upload-time = "2026-04-24T00:13:25.849Z" }, + { url = "https://files.pythonhosted.org/packages/a5/fd/fa69f2221534e80cc5772ac2b7d222011a2acafc2ec7216d5dd174c864ae/matplotlib-3.10.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:59476c6d29d612b8e9bb6ce8c5b631be6ba8f9e3a2421f22a02b192c7dd28716", size = 9672358, upload-time = "2026-04-24T00:13:28.906Z" }, + { url = "https://files.pythonhosted.org/packages/ab/1a/5a4f747a8b271cbb024946d2dd3c913ab5032ba430626f8c3528ada96b4b/matplotlib-3.10.9-cp314-cp314-win_amd64.whl", hash = "sha256:336b9acc64d309063126edcdaca00db9373af3c476bb94388fe9c5a53ad13e6f", size = 8349970, upload-time = "2026-04-24T00:13:31.904Z" }, + { url = "https://files.pythonhosted.org/packages/64/dc/95d60ecaefe30680a154b52ea96ab4b0dab547f1fd6aa12f5fb655e89cae/matplotlib-3.10.9-cp314-cp314-win_arm64.whl", hash = "sha256:2dc9477819ffd78ad12a20df1d9d6a6bd4fec6aaa9072681465fddca052f1456", size = 8272785, upload-time = "2026-04-24T00:13:34.511Z" }, + { url = "https://files.pythonhosted.org/packages/70/a0/005d68bc8b8418300ce6591f18586910a8526806e2ab663933d9f20a41e9/matplotlib-3.10.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:da4e09638420548f31c354032a6250e473c68e5a4e96899b4844cf39ddea23fe", size = 8367999, upload-time = "2026-04-24T00:13:36.962Z" }, + { url = "https://files.pythonhosted.org/packages/22/05/1236cc9290be70b2498af20ca348add76e3fffe7f67b477db5133a84f3ea/matplotlib-3.10.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:345f6f68ecc8da0ca56fad2ea08fde1a115eda530079eca185d50a7bc3e146c6", size = 8264543, upload-time = "2026-04-24T00:13:39.851Z" }, + { url = "https://files.pythonhosted.org/packages/cd/c2/071f5a5ff6c5bd63aaaf2f45c811d9bf2ced94bde188d9e1a519e21d0cba/matplotlib-3.10.9-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4edcfbd8565339aa62f1cd4012f7180926fdbe71850f7b0d3c379c175cd6b66c", size = 9622800, upload-time = "2026-04-24T00:13:42.296Z" }, + { url = "https://files.pythonhosted.org/packages/95/57/da7d1f10a85624b9e7db68e069dd94e58dc41dbf9463c5921632ecbe3661/matplotlib-3.10.9-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6be157fe17fc37cb95ac1d7374cf717ce9259616edec911a78d9d26dae8522d4", size = 9888561, upload-time = "2026-04-24T00:13:45.026Z" }, + { url = "https://files.pythonhosted.org/packages/67/b2/ef8d6bb59b0edb6c16c968b70f548aa13b54348972def5aa6ac85df67145/matplotlib-3.10.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:4e42042d54db34fda4e95a7bd3e5789c2a995d2dad3eb8850232ee534092fbbf", size = 9680884, upload-time = "2026-04-24T00:13:48.066Z" }, + { url = "https://files.pythonhosted.org/packages/61/1c/d21bfeb9931881ebe96bcfcff27c7ae4b160ae0ec291a714c42641a56d75/matplotlib-3.10.9-cp314-cp314t-win_amd64.whl", hash = "sha256:c27df8b3848f32a83d1767566595e43cfaa4460380974da06f4279a7ec143c39", size = 8432333, upload-time = "2026-04-24T00:13:51.008Z" }, + { url = "https://files.pythonhosted.org/packages/78/23/92493c3e6e1b635ccfff146f7b99e674808787915420373ac399283764c2/matplotlib-3.10.9-cp314-cp314t-win_arm64.whl", hash = "sha256:a49f1eadc84ca85fd72fa4e89e70e61bf86452df6f971af04b12c60761a0772c", size = 8324785, upload-time = "2026-04-24T00:13:53.633Z" }, { url = "https://files.pythonhosted.org/packages/2c/2b/0e92ad0ac446633f928a1563db4aa8add407e1924faf0ded5b95b35afb27/matplotlib-3.10.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:1872fb212a05b729e649754a72d5da61d03e0554d76e80303b6f83d1d2c0552b", size = 8293058, upload-time = "2026-04-24T00:13:56.339Z" }, { url = "https://files.pythonhosted.org/packages/4b/23/74682fd369f5299ceda438fea2a0662e6383b85c9383fb9cdfcf04713e07/matplotlib-3.10.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:985f2238880e2e69093f588f5fe2e46771747febf0649f3cf7f7b7480875317f", size = 8186627, upload-time = "2026-04-24T00:13:58.623Z" }, { url = "https://files.pythonhosted.org/packages/ca/e8/368aab88f3c4cd8992800f31abfe0670c3e47540ba20a97e9fdbcde594b3/matplotlib-3.10.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6640f75af2c6148293caa0a2b39dd806a492dd66c8a8b04035813e33d0fd2585", size = 8764117, upload-time = "2026-04-24T00:14:01.684Z" }, @@ -1262,9 +1447,12 @@ name = "matplotlib" version = "3.11.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -1310,6 +1498,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c8/44/e7922e6e2a4d63bdfbc9dc4a53e3850ab438d46cf42e6779bb15ec92c948/matplotlib-3.11.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:942b37c5db1899610bd1543ce8e13e4ecff9a4633e7f63bb6aa9205d2644ebd1", size = 10939576, upload-time = "2026-06-12T02:28:31.66Z" }, { url = "https://files.pythonhosted.org/packages/3d/be/b1ca96003a441d619b727fee21d671fdff7a5ce2f1bb797b2521aa2f679a/matplotlib-3.11.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c08e649a6313e1291e713623b97a38e5bb4aa580b2a100a94a3309bc6b9c8eb3", size = 9379519, upload-time = "2026-06-12T02:28:33.888Z" }, { url = "https://files.pythonhosted.org/packages/e3/72/4bf3b91821c34596dd6a7bdac5836d94f744144c8208939ef49d8ec43f7e/matplotlib-3.11.0-cp313-cp313t-win_arm64.whl", hash = "sha256:2746cd2c113742ff6ce37a864c5ac5fd7aa644568f445e66166e457ac78e40e0", size = 9055456, upload-time = "2026-06-12T02:28:35.878Z" }, + { url = "https://files.pythonhosted.org/packages/57/52/a94102ac99eb78e2fe9b826674f9ef9ee23327110ea6ab4776c1b4eb6209/matplotlib-3.11.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3338e3e3de128cf50d0d2fb92a122815daf9c755bd882a474343c05f8fd7ec79", size = 9452137, upload-time = "2026-06-12T02:28:37.93Z" }, + { url = "https://files.pythonhosted.org/packages/7c/03/b8cdb625a21f710dfa11bbca1f48fb4057d2c0286975f8b415bf80942c99/matplotlib-3.11.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:25c2e5455efd8d99f41fb79871a31feb7d301569642e332ec58d72cfe9282bc3", size = 9281514, upload-time = "2026-06-12T02:28:40.028Z" }, + { url = "https://files.pythonhosted.org/packages/b7/2d/4e1240ea82ee197dfb3851e71f71c87eeeb975f1753b56a0588e4e80739a/matplotlib-3.11.0-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d9695457a467ff86d23f35037a43deb6f1134dd6d3e2ac8ce1e2087cff09ffb9", size = 10843005, upload-time = "2026-06-12T02:28:42.39Z" }, + { url = "https://files.pythonhosted.org/packages/29/dc/6377ecfaa5fef79430f74a1a16638b4e2aa30d4692bae2c19f9d76fe3b01/matplotlib-3.11.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19c16c61dea63b3582918503e6b294193961261d9daa806d4ae2151f1ad05430", size = 11127459, upload-time = "2026-06-12T02:28:44.483Z" }, + { url = "https://files.pythonhosted.org/packages/6f/41/795c405aa7560443a3b01309424cde4a1113b85c90b8a63417444a749617/matplotlib-3.11.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2d72ea8b7924f3cb955e61518d21e43b3df1e6c8a793b480a0c1214f185d30ba", size = 10925160, upload-time = "2026-06-12T02:28:46.564Z" }, + { url = "https://files.pythonhosted.org/packages/1a/f7/3a9e6389a7cfaeff76c56e40c2dabcb13110e21e82f837228c834ebe748c/matplotlib-3.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:1c02da0a629dfa9debf52725ea06866b74c1fb70a895bae05e4493d34074f9f2", size = 9485186, upload-time = "2026-06-12T02:28:49.344Z" }, + { url = "https://files.pythonhosted.org/packages/8b/c0/396478ee7cf2091d182db8b4a8695f6a37f1ddb978989cf9dbb84cd5c123/matplotlib-3.11.0-cp314-cp314-win_arm64.whl", hash = "sha256:aa55d73b3117d4b07f959cd9eb6f69b375d8df3414139c479388e551aa5d999d", size = 9160349, upload-time = "2026-06-12T02:28:51.382Z" }, + { url = "https://files.pythonhosted.org/packages/c5/6f/1c3bd51bb2b34eaacdcf3c3d859dbb357f952fc8020c617dc118ad7c9e38/matplotlib-3.11.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:a9d8c6e7cd2f0ddf11d8d92e520dd1d9d2abb0cf6ac8831e338666c81e905847", size = 9500921, upload-time = "2026-06-12T02:28:53.443Z" }, + { url = "https://files.pythonhosted.org/packages/e0/0d/4d861d0121840cb1a3fd4a10deb211efd6fccd481ed23e553f31f4f4da4a/matplotlib-3.11.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:be050fcf32f729eda99f7f75a80bf67612ce16ab9ac1c23a387dcaede95cb70e", size = 9332190, upload-time = "2026-06-12T02:28:55.623Z" }, + { url = "https://files.pythonhosted.org/packages/4b/cb/22f6bc35711a0b5639a784e74e653e77c86210bd4304449dd399a482f74e/matplotlib-3.11.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:dfabef0230d0697aa0d717385194dd41162e00207a68bf4abf94c2bf4c27dca0", size = 10854181, upload-time = "2026-06-12T02:28:57.856Z" }, + { url = "https://files.pythonhosted.org/packages/3f/7e/9a9eaca731a2939589da520f0ebe8fd8753d0f51fca98c7d20af6dbe261a/matplotlib-3.11.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1644db30e759199443493ac5e5caec24fdb775a8f6123021f85ba47c4133c3cb", size = 11137715, upload-time = "2026-06-12T02:29:00.555Z" }, + { url = "https://files.pythonhosted.org/packages/ef/f9/9b030b6088354acb0296871bb624b25befc1c42509d3c6cd17420c83a5b8/matplotlib-3.11.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:15b0d160079cb10699a0e98b5989c70677b2df7cacdc62af67c30f2facec46d9", size = 10939427, upload-time = "2026-06-12T02:29:02.527Z" }, + { url = "https://files.pythonhosted.org/packages/59/94/6b273eaee4ee250863567d100865da61a5c1527fa67f527b7ed22e0dd29c/matplotlib-3.11.0-cp314-cp314t-win_amd64.whl", hash = "sha256:446307e6b04b57b1f1239e228a1ec2af0d589a1008cebc3dfa3f5441d095cfb6", size = 9535809, upload-time = "2026-06-12T02:29:04.994Z" }, + { url = "https://files.pythonhosted.org/packages/60/95/1d36bddf2b7e2692c1540e78a6e5bc88bc1496b137e3e35a611f91b65ac3/matplotlib-3.11.0-cp314-cp314t-win_arm64.whl", hash = "sha256:652fb5696271d4c50f196d22a5ff4f8e4444c74f847423570d7dc0aa2bbd0159", size = 9209226, upload-time = "2026-06-12T02:29:07.033Z" }, { url = "https://files.pythonhosted.org/packages/0f/c2/f5da6cd37ed6871f5c9b3c0507ddb69f14d6c36fac4541e4e0c60cb8cdfc/matplotlib-3.11.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:81ae77077a1e16d37a5b61096ccb07c8d90a99b518fa8256b8f21578932f2f62", size = 9434094, upload-time = "2026-06-12T02:29:09.135Z" }, { url = "https://files.pythonhosted.org/packages/f8/07/56f66906e0f87a0c6d0d0acbd34dbc9432b1931d8f26ef618bd6f92932a9/matplotlib-3.11.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ddef37840695f5eef65f9f070fe2d2f510f584c2156203f9f622a5b0584efffd", size = 9262183, upload-time = "2026-06-12T02:29:11.283Z" }, { url = "https://files.pythonhosted.org/packages/0c/d8/c4ecab06b7ea36a570c4f3bd2d48d1799fd5d9174470e45c2194199431e7/matplotlib-3.11.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cf662e5ac5707658cb931e19972c4bd99f7b4f8b7bf79d3c821d239fa6b71e64", size = 10015653, upload-time = "2026-06-12T02:29:13.251Z" }, @@ -1442,6 +1644,14 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/44/b5/e930010965568fe7f2c6c962fd2849d458cb9f62c3ab7584af8a19a2b40a/numba-0.66.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:939316d5d8619751207b8972a67852b5a7646665298cb4de693cd6bf135152f4", size = 3873663, upload-time = "2026-07-01T23:12:27.308Z" }, { url = "https://files.pythonhosted.org/packages/d0/ec/5b51457cbe96e4831141d83e892e65191b23a1b78728456c62909d231ace/numba-0.66.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cdf506775d9f02eb92a87bf5c5b1e0d25506fd18cafd769f4ed914a8feac73e7", size = 3573529, upload-time = "2026-07-01T23:12:28.944Z" }, { url = "https://files.pythonhosted.org/packages/83/7e/cea7710e96913d3c7f2999f16db1b28e6c5be5171cbf40f77f98333a7243/numba-0.66.0-cp313-cp313-win_amd64.whl", hash = "sha256:c5bfe5350284509ab0474390321454c3a8627a188af5b68c910e83df3e2db4a7", size = 2797247, upload-time = "2026-07-01T23:12:30.774Z" }, + { url = "https://files.pythonhosted.org/packages/96/7a/7e0e73550eb4e41ede6e72fb5371f4539537a4d770a3b73fa9b61aea0622/numba-0.66.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:46ae5f2b19e2af3c33c2df100306a90ea2f981c8158b0390f8bf6c20eee7357e", size = 2727296, upload-time = "2026-07-01T23:12:32.39Z" }, + { url = "https://files.pythonhosted.org/packages/0f/26/885774c006de6620ed3d10f45d8e20fe0b8e6aad6d573211a2cbc8b3e528/numba-0.66.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e2b101f23b8b63978d334574d2039f27f0dccfe1d891756f33a2e2f3e4c88cf4", size = 3842720, upload-time = "2026-07-01T23:12:33.938Z" }, + { url = "https://files.pythonhosted.org/packages/93/99/edebf7de890b73973d839dd971cf73734adfb81ffa1b4504f84b9059c3e5/numba-0.66.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:63b943eb2c9ba371908ce2cd6dfc643db51fc40f7966993376a1701bc922f537", size = 3543537, upload-time = "2026-07-01T23:12:35.566Z" }, + { url = "https://files.pythonhosted.org/packages/66/c5/b46ad28ac3681d035ea21365c5e052149062e1a0a9affd0563d2760ea6ff/numba-0.66.0-cp314-cp314-win_amd64.whl", hash = "sha256:bd57790acd20f6a468e0ad333ef6b82355e309a92310fb7dff80e919f01a21a9", size = 2799250, upload-time = "2026-07-01T23:12:37.154Z" }, + { url = "https://files.pythonhosted.org/packages/10/6f/5e77a7397a37dd16f57a7b72e7e470db5227b68e3639df0d13a8e674883d/numba-0.66.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:db7735d15ea17a283d6485b9fa3504769f78fd86e5146638ad5e8da57c031b9e", size = 2730342, upload-time = "2026-07-01T23:12:38.758Z" }, + { url = "https://files.pythonhosted.org/packages/39/fd/e9c9680a3813f3d781c20e5d53c1074801b787d4feecca0472fdd7c05ce1/numba-0.66.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:651a2b53298340956db26ecbe7ab043106b50a40c2807e66d617a4917245a4ab", size = 3878695, upload-time = "2026-07-01T23:12:40.302Z" }, + { url = "https://files.pythonhosted.org/packages/61/3a/9b363287b85fcd4537ea3878793822878b2ac1008a78159d2096fea628de/numba-0.66.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8c1144ba1720ea59ad79f4f488ed54d149b2613b357f7e445678b7d0739c70e9", size = 3596323, upload-time = "2026-07-01T23:12:42.805Z" }, + { url = "https://files.pythonhosted.org/packages/4c/f2/dca53d50b8f2289dd01954ace9da261e0487d5b74b188b4304e4ecc3492c/numba-0.66.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d426178fb991a85714c43112a8ea7b9d9579ea856ad8dcdb9c1c3941903ba5be", size = 2804772, upload-time = "2026-07-01T23:12:44.399Z" }, ] [[package]] @@ -1514,9 +1724,12 @@ name = "numpy" version = "2.4.6" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -1566,6 +1779,27 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/8a/90/0ac3bc947217e66dec77e7cbc6a1979d1af70b6461b82f620d3bccd5e4c8/numpy-2.4.6-cp313-cp313t-win32.whl", hash = "sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab", size = 6084971, upload-time = "2026-05-18T23:35:29.387Z" }, { url = "https://files.pythonhosted.org/packages/77/71/5673e351671a1d2bd6063b91b44f70c0affea7d1516fa7a6572941ba4aa1/numpy-2.4.6-cp313-cp313t-win_amd64.whl", hash = "sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75", size = 12458532, upload-time = "2026-05-18T23:35:32.175Z" }, { url = "https://files.pythonhosted.org/packages/3f/88/19d3503c5046e688f049274b27a3ef3d771152fa80d3ba3d01a3dff61abe/numpy-2.4.6-cp313-cp313t-win_arm64.whl", hash = "sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd", size = 10291881, upload-time = "2026-05-18T23:35:35.465Z" }, + { url = "https://files.pythonhosted.org/packages/f8/91/3ab2044d05fd16d343c5ac2e69b127f1b2854040dd20b193257c78028bd3/numpy-2.4.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079", size = 16683458, upload-time = "2026-05-18T23:35:38.353Z" }, + { url = "https://files.pythonhosted.org/packages/8e/62/764ce66fa4147ae6d73071a3abf804ffe606f174618697c571acdf26a7c9/numpy-2.4.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7", size = 14704559, upload-time = "2026-05-18T23:35:42.14Z" }, + { url = "https://files.pythonhosted.org/packages/60/61/23f27c172f022e04025b7dc2367f4d63c1a398120607ec896228649a6f48/numpy-2.4.6-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5", size = 5209716, upload-time = "2026-05-18T23:35:45.377Z" }, + { url = "https://files.pythonhosted.org/packages/03/71/21cf70dc6ea3e3acb95fc53a265b2fc248b981f0194ceb5b475271b8809d/numpy-2.4.6-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096", size = 6543947, upload-time = "2026-05-18T23:35:47.926Z" }, + { url = "https://files.pythonhosted.org/packages/d5/91/64288395ee1799bd2e0b04a305dce9666da90c961e1f3fe982a05ee1c036/numpy-2.4.6-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b", size = 15685197, upload-time = "2026-05-18T23:35:50.863Z" }, + { url = "https://files.pythonhosted.org/packages/f3/eb/ebffaa97dc55502df69584a8f0dcf07f69a3e0b3e2323670a2722db9aa39/numpy-2.4.6-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8", size = 16638245, upload-time = "2026-05-18T23:35:54.752Z" }, + { url = "https://files.pythonhosted.org/packages/b8/0b/54f9da33128d7e350fab89c7455902eeae70349ee52bddb448dc4a576f45/numpy-2.4.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402", size = 17036587, upload-time = "2026-05-18T23:35:58.355Z" }, + { url = "https://files.pythonhosted.org/packages/b6/f0/fdebc1052db1cc37c64beb22072d67cd6d1c71adca1299f53dec2b5e20d3/numpy-2.4.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb", size = 18363226, upload-time = "2026-05-18T23:36:02.845Z" }, + { url = "https://files.pythonhosted.org/packages/aa/b4/298628d98c72b57e57f7165ae6a481a1deaf6f3c28262a6e4c739c275930/numpy-2.4.6-cp314-cp314-win32.whl", hash = "sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1", size = 6010196, upload-time = "2026-05-18T23:36:05.92Z" }, + { url = "https://files.pythonhosted.org/packages/df/ac/46de6dda46478f7942f839e094970be2d4a861e005c4b3bf07c92e291a09/numpy-2.4.6-cp314-cp314-win_amd64.whl", hash = "sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261", size = 12450334, upload-time = "2026-05-18T23:36:09.107Z" }, + { url = "https://files.pythonhosted.org/packages/78/92/b8b798ac784102c0da830d2257d59358e3d3d90d1e2b3f2575dad976c5cf/numpy-2.4.6-cp314-cp314-win_arm64.whl", hash = "sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6", size = 10495678, upload-time = "2026-05-18T23:36:12.766Z" }, + { url = "https://files.pythonhosted.org/packages/30/34/ec28d1aa8115971537c01469ab2011ee96827930f0a124de1000cc2a7ed7/numpy-2.4.6-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a", size = 14823672, upload-time = "2026-05-18T23:36:16.473Z" }, + { url = "https://files.pythonhosted.org/packages/16/bd/f6d1fede4e54e8042a7ff97bb495510f3c220f94bcd9e8b228e87c92cc0d/numpy-2.4.6-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e", size = 5328731, upload-time = "2026-05-18T23:36:19.767Z" }, + { url = "https://files.pythonhosted.org/packages/f4/f0/e105b9e2fd728a9910103884decd6951d9dd73896b914a98d9a231de02ee/numpy-2.4.6-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e", size = 6649805, upload-time = "2026-05-18T23:36:22.266Z" }, + { url = "https://files.pythonhosted.org/packages/82/dd/1206a7ca6ab15e3f02069707ca96222e202af681bb73756da7527f3cb837/numpy-2.4.6-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43", size = 15730496, upload-time = "2026-05-18T23:36:25.713Z" }, + { url = "https://files.pythonhosted.org/packages/51/e7/38d3ea825dcab85a591734decb2f6c67caa7c8367d374df1a1c3842f9b07/numpy-2.4.6-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e", size = 16679616, upload-time = "2026-05-18T23:36:29.652Z" }, + { url = "https://files.pythonhosted.org/packages/93/b7/caabfdf53edf663e0b4eb74d7d405d83baef09eb5e83bcd32d601d72b93e/numpy-2.4.6-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895", size = 17085145, upload-time = "2026-05-18T23:36:33.449Z" }, + { url = "https://files.pythonhosted.org/packages/f9/45/68d7c33a6bcf3e5aa3bdbd57a367e6f615286dfd6482f97e8ffeb734306e/numpy-2.4.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4", size = 18403813, upload-time = "2026-05-18T23:36:37.369Z" }, + { url = "https://files.pythonhosted.org/packages/9c/50/0753655aa844c99cd9e018aacf76f130f1bd81d881bb74bc0aef5d73a8ba/numpy-2.4.6-cp314-cp314t-win32.whl", hash = "sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063", size = 6156982, upload-time = "2026-05-18T23:36:40.817Z" }, + { url = "https://files.pythonhosted.org/packages/b2/d4/7c67becf668f973cb490cec3e98dfd799d866f9c989a54d355672cfa0db6/numpy-2.4.6-cp314-cp314t-win_amd64.whl", hash = "sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627", size = 12638908, upload-time = "2026-05-18T23:36:43.996Z" }, + { url = "https://files.pythonhosted.org/packages/43/bb/e1c71a4295b1b1d1393d50dbb4f2a36283c6859d9d3892e84f00ec5a91d5/numpy-2.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66", size = 10565867, upload-time = "2026-05-18T23:36:47.114Z" }, { url = "https://files.pythonhosted.org/packages/de/12/b422cc84439adc0d00de605bf4a308890ae5c26f2c71fbd73e5d08fbb0dd/numpy-2.4.6-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662", size = 16847511, upload-time = "2026-05-18T23:36:50.673Z" }, { url = "https://files.pythonhosted.org/packages/44/53/f481bef68011740f8849418d82db07230e825013f31f4eef5ba5b805316a/numpy-2.4.6-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7", size = 14889064, upload-time = "2026-05-18T23:36:53.879Z" }, { url = "https://files.pythonhosted.org/packages/7f/57/42ed575c10ced8af951d426bc4e1f8aff16fd851db33f067036215a7f860/numpy-2.4.6-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f", size = 5394157, upload-time = "2026-05-18T23:36:57.194Z" }, @@ -1608,16 +1842,16 @@ test = [ [package.metadata] requires-dist = [ - { name = "contourpy" }, + { name = "contourpy", specifier = ">=1.2.1" }, { name = "h5netcdf", marker = "extra == 'netcdf4'" }, { name = "jupyterlab", marker = "extra == 'notebooks'" }, - { name = "matplotlib" }, - { name = "numba", specifier = ">=0.60" }, + { name = "matplotlib", specifier = ">=3.9" }, + { name = "numba", specifier = ">=0.61" }, { name = "numpy", specifier = ">=2.0" }, { name = "pytest", marker = "extra == 'test'", specifier = ">=7" }, - { name = "pyyaml" }, - { name = "scipy" }, - { name = "xarray" }, + { name = "pyyaml", specifier = ">=6.0.2" }, + { name = "scipy", specifier = ">=1.13" }, + { name = "xarray", specifier = ">=2023.9.0" }, ] provides-extras = ["notebooks", "netcdf4", "test"] @@ -1688,6 +1922,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/44/23/78d645adc35d94d1ac4f2a3c4112ab6f5b8999f4898b8cdf01252f8df4a9/pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110", size = 12121912, upload-time = "2025-09-29T23:23:05.042Z" }, { url = "https://files.pythonhosted.org/packages/53/da/d10013df5e6aaef6b425aa0c32e1fc1f3e431e4bcabd420517dceadce354/pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86", size = 12712160, upload-time = "2025-09-29T23:23:28.57Z" }, { url = "https://files.pythonhosted.org/packages/bd/17/e756653095a083d8a37cbd816cb87148debcfcd920129b25f99dd8d04271/pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc", size = 13199233, upload-time = "2025-09-29T23:24:24.876Z" }, + { url = "https://files.pythonhosted.org/packages/04/fd/74903979833db8390b73b3a8a7d30d146d710bd32703724dd9083950386f/pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0", size = 11540635, upload-time = "2025-09-29T23:25:52.486Z" }, + { url = "https://files.pythonhosted.org/packages/21/00/266d6b357ad5e6d3ad55093a7e8efc7dd245f5a842b584db9f30b0f0a287/pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593", size = 10759079, upload-time = "2025-09-29T23:26:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/ca/05/d01ef80a7a3a12b2f8bbf16daba1e17c98a2f039cbc8e2f77a2c5a63d382/pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c", size = 11814049, upload-time = "2025-09-29T23:27:15.384Z" }, + { url = "https://files.pythonhosted.org/packages/15/b2/0e62f78c0c5ba7e3d2c5945a82456f4fac76c480940f805e0b97fcbc2f65/pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b", size = 12332638, upload-time = "2025-09-29T23:27:51.625Z" }, + { url = "https://files.pythonhosted.org/packages/c5/33/dd70400631b62b9b29c3c93d2feee1d0964dc2bae2e5ad7a6c73a7f25325/pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6", size = 12886834, upload-time = "2025-09-29T23:28:21.289Z" }, + { url = "https://files.pythonhosted.org/packages/d3/18/b5d48f55821228d0d2692b34fd5034bb185e854bdb592e9c640f6290e012/pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3", size = 13409925, upload-time = "2025-09-29T23:28:58.261Z" }, + { url = "https://files.pythonhosted.org/packages/a6/3d/124ac75fcd0ecc09b8fdccb0246ef65e35b012030defb0e0eba2cbbbe948/pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5", size = 11109071, upload-time = "2025-09-29T23:32:27.484Z" }, + { url = "https://files.pythonhosted.org/packages/89/9c/0e21c895c38a157e0faa1fb64587a9226d6dd46452cac4532d80c3c4a244/pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec", size = 12048504, upload-time = "2025-09-29T23:29:31.47Z" }, + { url = "https://files.pythonhosted.org/packages/d7/82/b69a1c95df796858777b68fbe6a81d37443a33319761d7c652ce77797475/pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7", size = 11410702, upload-time = "2025-09-29T23:29:54.591Z" }, + { url = "https://files.pythonhosted.org/packages/f9/88/702bde3ba0a94b8c73a0181e05144b10f13f29ebfc2150c3a79062a8195d/pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450", size = 11634535, upload-time = "2025-09-29T23:30:21.003Z" }, + { url = "https://files.pythonhosted.org/packages/a4/1e/1bac1a839d12e6a82ec6cb40cda2edde64a2013a66963293696bbf31fbbb/pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5", size = 12121582, upload-time = "2025-09-29T23:30:43.391Z" }, + { url = "https://files.pythonhosted.org/packages/44/91/483de934193e12a3b1d6ae7c8645d083ff88dec75f46e827562f1e4b4da6/pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788", size = 12699963, upload-time = "2025-09-29T23:31:10.009Z" }, + { url = "https://files.pythonhosted.org/packages/70/44/5191d2e4026f86a2a109053e194d3ba7a31a2d10a9c2348368c63ed4e85a/pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87", size = 13202175, upload-time = "2025-09-29T23:31:59.173Z" }, ] [[package]] @@ -1695,9 +1942,12 @@ name = "pandas" version = "3.0.3" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -1740,6 +1990,22 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e9/21/ea191195e587b18cf682e97f433f81b2d0fbe341380e80a3e0d6e4403c8e/pandas-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d26cbe1fcfc12e8fd900e2454163e466b2d3af84f7c75481df7683ffc073d870", size = 11350796, upload-time = "2026-05-11T18:53:32.056Z" }, { url = "https://files.pythonhosted.org/packages/64/69/f0eaaf54939f0e8c6768fd06be9af2cef9b36048b96dfb9e1b2c685a807e/pandas-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e91cec1879ada0624fc3dc9953c5cbd60208e59c0db28f540c5d6d47502422f", size = 11799741, upload-time = "2026-05-11T18:53:34.985Z" }, { url = "https://files.pythonhosted.org/packages/45/a4/865e0e510cae5fc2194de4db28be638952de942571ba9125934fd9c01d47/pandas-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:08d789b41f87e0905880e293cedf6197ce71fe67cc081358b1e148a491b9bd13", size = 10499958, upload-time = "2026-05-11T18:53:37.857Z" }, + { url = "https://files.pythonhosted.org/packages/86/54/effdcc3c0ff7a08037889200e148ebe94c16c4f653be078c7b3675955df1/pandas-3.0.3-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3650109c0f22879df8bd6179ab9ee3d7f1d1d4e7e0094a3f0032d9f51e2e64ac", size = 10336065, upload-time = "2026-05-11T18:53:41.099Z" }, + { url = "https://files.pythonhosted.org/packages/68/10/bf2d6738d72748b961a3751ab89522d58c54efc36a8e1a12161216cd45cf/pandas-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:bab900348131a7db1f69a7309ef141fd5680f1487094193bcbbb61791573bf8f", size = 9926101, upload-time = "2026-05-11T18:53:43.515Z" }, + { url = "https://files.pythonhosted.org/packages/ae/e9/e35cf11c8a136e757b956f5f0efdcaa50aecde85ea055f1898dfc68262f3/pandas-3.0.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ba7e08b9ac1d54569cd1e256e3668975ed624d6826f7b68df0342b012007bddb", size = 10457553, upload-time = "2026-05-11T18:53:46.394Z" }, + { url = "https://files.pythonhosted.org/packages/58/3b/1cdec6772bdbaf7b25dab360c59f03cadf05492dd724c6540af905389b07/pandas-3.0.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9d71c63ae4ebdbf70209742096f1fc46a83a0613c99d4b23766cced9ff8cd62a", size = 10914065, upload-time = "2026-05-11T18:53:49.134Z" }, + { url = "https://files.pythonhosted.org/packages/c4/c2/1ef644445fcd72e3627bceec77e3560636f87ddce4ed841afe76b83b5bf9/pandas-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:e3a2ec42c98ffa2565a67e08e218d06d72576d758d90facb7c00805194d8f360", size = 11459188, upload-time = "2026-05-11T18:53:52.527Z" }, + { url = "https://files.pythonhosted.org/packages/7e/49/4d8d4f42cbc9c4adc7a1870f269c02cbd6cd40d059622c06fb298addcbad/pandas-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:335f62418ed562cfc3c49e9e196375c28b729dcef8543abf4f9438e381bf3c76", size = 11982966, upload-time = "2026-05-11T18:53:55.043Z" }, + { url = "https://files.pythonhosted.org/packages/38/55/792619469bab9882d8bbd5865d45a72f6478762d04a9af4bf0d08c503e95/pandas-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:3c20a521bbb85902f79f7270c80a59e1b5452d96d170c034f207181870f97ac5", size = 9876755, upload-time = "2026-05-11T18:53:58.067Z" }, + { url = "https://files.pythonhosted.org/packages/2a/af/33c469653b0ba03b50c3a98192d4c07f0c75c66b263ceb097fce0ee97d31/pandas-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:a2d2dff8a04f3917b55ab3910c32990f8ddf7eceba114947838cefa976a68977", size = 9198658, upload-time = "2026-05-11T18:54:00.733Z" }, + { url = "https://files.pythonhosted.org/packages/a2/fa/b8c257bd76b8bd060c3a9151c1fca05e9b9c5e3af5d0f549c0356f6d143d/pandas-3.0.3-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:0d589105b3c14645af1738ff279b2995102d8f7a03b0a66dc8d95550eb513e04", size = 10787242, upload-time = "2026-05-11T18:54:03.564Z" }, + { url = "https://files.pythonhosted.org/packages/54/eb/f19206ffb0bf1919002969aa448b4702c6594845156a6f8050674855aac3/pandas-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:13fc1e853d9e04743d11ba75a985ccbc2a317fe07d8af61e445a6fd24dacd6a6", size = 10436369, upload-time = "2026-05-11T18:54:06.311Z" }, + { url = "https://files.pythonhosted.org/packages/fd/24/c7c39fb4fe22b71a0c2d78bf0c585c600092d85f94f086d2b3b2f6ca27e2/pandas-3.0.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:819959dab7bbd0049c15623fbac4e29a191b9528160a61fb1032242d8ced2d9c", size = 10358306, upload-time = "2026-05-11T18:54:09.085Z" }, + { url = "https://files.pythonhosted.org/packages/16/ec/dd2a9eb7fa1204df88c0864164e35b228ac581062ac612ba0a67fd812e4c/pandas-3.0.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:60ae316d3fd75d1858d450d0db0103ea2be3e7d4a95ec2f064f7e2ae63f7b028", size = 10758394, upload-time = "2026-05-11T18:54:11.956Z" }, + { url = "https://files.pythonhosted.org/packages/95/6e/00c61ea8e85b4f6d8d35e11852a1a4998fc7fafc91c6a602d1cc9c972d64/pandas-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bd3a518890b400d32f9023722dc9a9a5c969f00b415419a3c06c043f09bb5d7d", size = 11375717, upload-time = "2026-05-11T18:54:14.539Z" }, + { url = "https://files.pythonhosted.org/packages/31/89/8fc1c268969fac43688d65fd92e67df24bd128d53cb4d2eee534cd307399/pandas-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9c39be2d709d01fa972a0cabc522389fceca4f3969332ba25a7d6c5802cf976a", size = 11828897, upload-time = "2026-05-11T18:54:17.146Z" }, + { url = "https://files.pythonhosted.org/packages/56/3b/e7d20dea247a3e6dc0bd8a6953854afbedc03951def4e7371e05e7263e25/pandas-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4db8c527972a821cf5286b40ccc57642a39bc62e62022b42f99f8a67fca8c3a1", size = 10900855, upload-time = "2026-05-11T18:54:19.72Z" }, + { url = "https://files.pythonhosted.org/packages/0f/54/68a0978d1ef8502b8492099beaa6e7a0c1b32e3b5d4f677f5810cb08711c/pandas-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b2c95f8bfc1ee412bf482605d7bfd30c12d1d26bd59fdd91efeef1d4718decb1", size = 9466464, upload-time = "2026-05-11T18:54:22.754Z" }, ] [[package]] @@ -1817,6 +2083,27 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c9/f9/066794cca041b969964f779ee5fa66a9498bbf34248ac39c5d7954e4198f/pillow-12.3.0-cp313-cp313-win32.whl", hash = "sha256:a876864214e136f0eb367788dbd7df045f4806801518e2cfe9e13229cfe06d8f", size = 6473287, upload-time = "2026-07-01T11:54:44.9Z" }, { url = "https://files.pythonhosted.org/packages/a6/9b/7a58e61d62be561da3a356fe2384d4059a6345fc130e23ef1c36a5b81d24/pillow-12.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:1cca606cd25738df4ed873d5ad46bbdb3d83b5cbca291f6b4ff13a4df6b0bbe8", size = 7239691, upload-time = "2026-07-01T11:54:47.141Z" }, { url = "https://files.pythonhosted.org/packages/aa/b0/c4ed4f0ef8f8fa5ee8351537db6650bb8189f7e118842978dd6589065692/pillow-12.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:b629de27fda84b42cde7edef0d85f13b958b47f6e9bbcbba9b673c562a89bd8b", size = 2568185, upload-time = "2026-07-01T11:54:49.137Z" }, + { url = "https://files.pythonhosted.org/packages/dc/01/001f65b68192f0228cc1dbbc8d2530ab5d58b61037ba0587f946fea607cd/pillow-12.3.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:9cf95fe4d0f84c82d282745d9bb08ad9f926efa00be4697e767b814ce40d4330", size = 4161736, upload-time = "2026-07-01T11:54:51.156Z" }, + { url = "https://files.pythonhosted.org/packages/1a/d2/0219746d0fd16fc8a84498e79452375be3797d3ce4044596ce565164b84f/pillow-12.3.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:8728f216dcdb6e6d555cf971cb34076139ad74b31fc2c14da4fafc741c5f6217", size = 4255435, upload-time = "2026-07-01T11:54:53.414Z" }, + { url = "https://files.pythonhosted.org/packages/c8/02/8d0bc62ef0302318c46ff2a512822d2610e81c7aa46c9b3abe6cbaca5ad0/pillow-12.3.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:a45650e8ce7fafffd731db8550230db6b0d306d181a90b67d3e6bca2f1990930", size = 3696262, upload-time = "2026-07-01T11:54:55.739Z" }, + { url = "https://files.pythonhosted.org/packages/85/e2/73c77d218410b14f5f2d565e8a998d5317b7b9c75368d29985139f7a46f0/pillow-12.3.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:ba54cfebe86920a559a7c4d6b9050791c20513650a1952ebe3368c7dc70306f8", size = 5350344, upload-time = "2026-07-01T11:54:57.657Z" }, + { url = "https://files.pythonhosted.org/packages/c7/da/32c752228ae345f489e3a42499d817b6c3996da7e8a3bc7a04fc806b243b/pillow-12.3.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e158cb00350dc278f3b91551101aa7d12415a66ebf2c91d8d5ac14e56ddd3ad0", size = 4780131, upload-time = "2026-07-01T11:54:59.713Z" }, + { url = "https://files.pythonhosted.org/packages/b1/9d/8b2c807dbef61a5197c047afe99823787eb66f63daf9fb2432f91d6f0462/pillow-12.3.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e9aeb04d6aef139de265b29683e119b638208f88cf73cdd1658aa07221165321", size = 6263757, upload-time = "2026-07-01T11:55:01.778Z" }, + { url = "https://files.pythonhosted.org/packages/5c/44/c85361f65dbe00eea8576ee467c768d25129989efb76e94f205e9ca9bb46/pillow-12.3.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:251bf95b67017e27b13d82f5b326234ca62d70f9cf4c2b9032de2358a3b12c7b", size = 6936962, upload-time = "2026-07-01T11:55:03.93Z" }, + { url = "https://files.pythonhosted.org/packages/18/7e/e483414b35800b86b6f08dbbc7803fb5cd52c4d6f897f47d53ea2c7e6f65/pillow-12.3.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:fe3cca2e4e8a592be0f269a1ca4835c25199d9f3ce815c8491048f785b0a0198", size = 6339171, upload-time = "2026-07-01T11:55:05.989Z" }, + { url = "https://files.pythonhosted.org/packages/f0/f4/68c491844841ede6bed70189546b3ee9731cf9f2cbad396faff5e1ccba45/pillow-12.3.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:23aceaa007d6172b02c277f0cd359c79492bbb14f7072b4ede9fbcaf20648130", size = 7048116, upload-time = "2026-07-01T11:55:08.131Z" }, + { url = "https://files.pythonhosted.org/packages/a3/34/77f3f793fed8efc7d243f21b33c5a3f0d1c97ee70346d3db855587e155ff/pillow-12.3.0-cp314-cp314-win32.whl", hash = "sha256:af8d94b0db561cf68b88a267c5c44b49e134f525d0dc2cb7ed413a66bc23559a", size = 6467209, upload-time = "2026-07-01T11:55:10.408Z" }, + { url = "https://files.pythonhosted.org/packages/f1/e0/492879f69d94f91f60fc8cd05ba03650e9520afebb2fb7aa12777d7c7f38/pillow-12.3.0-cp314-cp314-win_amd64.whl", hash = "sha256:fdafc9cce40277e0f7a0feabce0ee50dd2fa1800f3b38015e51296b5e814048d", size = 7237707, upload-time = "2026-07-01T11:55:12.745Z" }, + { url = "https://files.pythonhosted.org/packages/c9/ac/6b11f2875f1c2ac040d84e1bbf9cf22a88038f901ca1037898b280b38365/pillow-12.3.0-cp314-cp314-win_arm64.whl", hash = "sha256:e91206ee562682b51b98ef4b26a6ef48fd84e15fd4c4bc5ec768eb641d206838", size = 2565995, upload-time = "2026-07-01T11:55:14.736Z" }, + { url = "https://files.pythonhosted.org/packages/52/69/c2208e56af9bfc1913afb24020297a691eb1d4ef688474c8a04913f65e04/pillow-12.3.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:164b31cd1a0490ab6efae01aa5df49da7061be0af1b30e035b6e9a1bfe34ee6e", size = 5352503, upload-time = "2026-07-01T11:55:17.076Z" }, + { url = "https://files.pythonhosted.org/packages/07/70/e5686d753e898a45d778ff1718dba8516ead6ab6b95d85fc8c4b70650cf2/pillow-12.3.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:5afb51d599ea772b8365ae807ae557f18bccfe46ab261fd1c2a9ed700fc6eb17", size = 4782956, upload-time = "2026-07-01T11:55:19.448Z" }, + { url = "https://files.pythonhosted.org/packages/d5/37/25c6692f06927ee973ff18c8d9ee98ad0b4d84ee67a09610c2dd1447958e/pillow-12.3.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3edce1d53195db527e0191f84b71d02022de0540bf43a16ed734ed7537b07385", size = 6322855, upload-time = "2026-07-01T11:55:21.613Z" }, + { url = "https://files.pythonhosted.org/packages/cc/91/420637fcb8f1bc11029e403b4538e6694744428d8246118e45719f944556/pillow-12.3.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bf16ba1b4d0b6b7c8e534936632270cf70eb00dbe09005bc345b2677b726855c", size = 6989642, upload-time = "2026-07-01T11:55:24.006Z" }, + { url = "https://files.pythonhosted.org/packages/10/08/b94d7811281ccf0d143a1cf768d1c49e1e54af63e7b708ab2ee3eb87face/pillow-12.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:24870b09b224f7ae3c39ed07d10e819d06f8720bc551847b1d623832b5b0e28d", size = 6391281, upload-time = "2026-07-01T11:55:26.252Z" }, + { url = "https://files.pythonhosted.org/packages/d2/87/24233f785f55474dc02ce3e739c5528a77e3a862e9333d1dd7a25cc31f70/pillow-12.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:30f2aa603c41533cc25c05acd0da21636e84a315768feb631c937177db558931", size = 7096716, upload-time = "2026-07-01T11:55:28.318Z" }, + { url = "https://files.pythonhosted.org/packages/23/26/fcb2f6e37175b04f53570b59937867e2b80ee1685e744023153028fc14f9/pillow-12.3.0-cp314-cp314t-win32.whl", hash = "sha256:4b0a7fe987b14c31ebda6083f74f22b561fd3739bc0ac51e019622e3d72668c7", size = 6474125, upload-time = "2026-07-01T11:55:30.956Z" }, + { url = "https://files.pythonhosted.org/packages/90/de/3634abee5f1c9e13c56787b7d5517b0ba8d6de51700b95578cf338349c9f/pillow-12.3.0-cp314-cp314t-win_amd64.whl", hash = "sha256:962864dc93511324d51ddbb5b9f8731bf71675b93ca612a07441896f4688fb8c", size = 7242939, upload-time = "2026-07-01T11:55:34.044Z" }, + { url = "https://files.pythonhosted.org/packages/ce/2a/fd13f8eb24de5714a6eb444a3d67e2842c6c576e159a43793adf23051351/pillow-12.3.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0740a512dc522224c77d9aa5a8d70d8b7d73fb91f2c21125d8d025d3b8990e45", size = 2567506, upload-time = "2026-07-01T11:55:35.988Z" }, { url = "https://files.pythonhosted.org/packages/75/18/2e8b40223153ccbc60df07f9e8928dc0c76202aa4e55ae9f53962b6510d6/pillow-12.3.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:b3c777e849237620b022f7f297dd67705f9f5cf1685f09f02e46f93e92725468", size = 5302510, upload-time = "2026-07-01T11:56:25.736Z" }, { url = "https://files.pythonhosted.org/packages/46/3e/51fabf59d5ab801ceab709453d3ab6b180083496579549de4c45ced6528a/pillow-12.3.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:b343699e8308bdc51978310e1c959c584e7869cc8c40780058c87da7781a1e94", size = 4736058, upload-time = "2026-07-01T11:56:28.041Z" }, { url = "https://files.pythonhosted.org/packages/bf/20/22fe9384b7949e25fb1293bcfc84fb82590ff4ea6b37c95b24d26d793d86/pillow-12.3.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fbd139c8447d25dd750ab79ee274cc5e1fe80fc56340ab10b18a195e1b6eca3e", size = 5237776, upload-time = "2026-07-01T11:56:30.263Z" }, @@ -1875,6 +2162,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b8/b5/9182c9af3836cca61696dabe4fd1304e17bc56cb62f17439e1154f225dd3/psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312", size = 184062, upload-time = "2026-01-28T18:15:04.436Z" }, { url = "https://files.pythonhosted.org/packages/16/ba/0756dca669f5a9300d0cbcbfae9a4c30e446dfc7440ffe43ded5724bfd93/psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b", size = 139893, upload-time = "2026-01-28T18:15:06.378Z" }, { url = "https://files.pythonhosted.org/packages/1c/61/8fa0e26f33623b49949346de05ec1ddaad02ed8ba64af45f40a147dbfa97/psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9", size = 135589, upload-time = "2026-01-28T18:15:08.03Z" }, + { url = "https://files.pythonhosted.org/packages/81/69/ef179ab5ca24f32acc1dac0c247fd6a13b501fd5534dbae0e05a1c48b66d/psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00", size = 130664, upload-time = "2026-01-28T18:15:09.469Z" }, + { url = "https://files.pythonhosted.org/packages/7b/64/665248b557a236d3fa9efc378d60d95ef56dd0a490c2cd37dafc7660d4a9/psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9", size = 131087, upload-time = "2026-01-28T18:15:11.724Z" }, + { url = "https://files.pythonhosted.org/packages/d5/2e/e6782744700d6759ebce3043dcfa661fb61e2fb752b91cdeae9af12c2178/psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a", size = 182383, upload-time = "2026-01-28T18:15:13.445Z" }, + { url = "https://files.pythonhosted.org/packages/57/49/0a41cefd10cb7505cdc04dab3eacf24c0c2cb158a998b8c7b1d27ee2c1f5/psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf", size = 185210, upload-time = "2026-01-28T18:15:16.002Z" }, + { url = "https://files.pythonhosted.org/packages/dd/2c/ff9bfb544f283ba5f83ba725a3c5fec6d6b10b8f27ac1dc641c473dc390d/psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1", size = 141228, upload-time = "2026-01-28T18:15:18.385Z" }, + { url = "https://files.pythonhosted.org/packages/f2/fc/f8d9c31db14fcec13748d373e668bc3bed94d9077dbc17fb0eebc073233c/psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841", size = 136284, upload-time = "2026-01-28T18:15:19.912Z" }, { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" }, { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" }, { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" }, @@ -1994,6 +2287,10 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3c/2c/a138491a0afbdb50eb79395577bd326d4b0fbde7209417d1a8087ff2493a/pywinpty-3.0.5-cp313-cp313-win_arm64.whl", hash = "sha256:2c6008fb2d3774b48693b2fcb7f2cc317ade9dc581289a964ffeeaf81307c9b5", size = 815518, upload-time = "2026-06-10T23:42:02.363Z" }, { url = "https://files.pythonhosted.org/packages/6f/15/54400049a380582acd1282665c70fcf11e0bd3713679aca78e24c3aae738/pywinpty-3.0.5-cp313-cp313t-win_amd64.whl", hash = "sha256:22ce1b780d89821cc52daf6eac0708af22d93d000ce9c7c07e37489db8594598", size = 2089920, upload-time = "2026-06-10T23:44:13.395Z" }, { url = "https://files.pythonhosted.org/packages/94/0c/6f24f3c0799f502259b24bdf841a99ad2b0d59df5c2525b4e2a286d14be2/pywinpty-3.0.5-cp313-cp313t-win_arm64.whl", hash = "sha256:9c2919a81bc5cfb09b86fc5a002112b2de95ca4304a07413cbeeb746a1307a5c", size = 814520, upload-time = "2026-06-10T23:43:28.588Z" }, + { url = "https://files.pythonhosted.org/packages/e9/23/f3cd1b1e5fc56517f54452c49f92049e7dd9ffc8a63de22a495581f50d04/pywinpty-3.0.5-cp314-cp314-win_amd64.whl", hash = "sha256:03bb3c16d691d9242267201830bcd0e64a9b663170e9042bc84b210da9de15ac", size = 2090663, upload-time = "2026-06-10T23:43:59.845Z" }, + { url = "https://files.pythonhosted.org/packages/9d/dd/96d6cbfc6d9ddab5c1c2f92c26545ae8997446a2ba7ee2024cd43c81f49b/pywinpty-3.0.5-cp314-cp314-win_arm64.whl", hash = "sha256:89c5c6ef08997a3b4b277b214a35fe15cab4dd6d119f0140aa71df5b1168fdbc", size = 815700, upload-time = "2026-06-10T23:40:50.001Z" }, + { url = "https://files.pythonhosted.org/packages/30/36/d98087bce0acaa4cce7f196103cfa7be3f63ce65f52473bb3e38784ae5d9/pywinpty-3.0.5-cp314-cp314t-win_amd64.whl", hash = "sha256:7b566165e0c5fdd6abe167a5ac8b954be6a843eb55a85946576d6bc1dea03d6d", size = 2090093, upload-time = "2026-06-10T23:40:58.933Z" }, + { url = "https://files.pythonhosted.org/packages/57/fd/fe2b0db922ba052ce3976a08f3fc05d0c05047c8b4ebb6102e832b8ef563/pywinpty-3.0.5-cp314-cp314t-win_arm64.whl", hash = "sha256:24366280a8aa677323da87bec729cb3ea3b35367386cece0978bdc6e4695c690", size = 814517, upload-time = "2026-06-10T23:42:34.946Z" }, ] [[package]] @@ -2040,6 +2337,24 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/de/94/980b50a6531b3019e45ddeada0626d45fa85cbe22300844a7983285bed3b/pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26", size = 137427, upload-time = "2025-09-25T21:32:32.58Z" }, { url = "https://files.pythonhosted.org/packages/97/c9/39d5b874e8b28845e4ec2202b5da735d0199dbe5b8fb85f91398814a9a46/pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c", size = 154090, upload-time = "2025-09-25T21:32:33.659Z" }, { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" }, + { url = "https://files.pythonhosted.org/packages/9d/8c/f4bd7f6465179953d3ac9bc44ac1a8a3e6122cf8ada906b4f96c60172d43/pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac", size = 181814, upload-time = "2025-09-25T21:32:35.712Z" }, + { url = "https://files.pythonhosted.org/packages/bd/9c/4d95bb87eb2063d20db7b60faa3840c1b18025517ae857371c4dd55a6b3a/pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310", size = 173809, upload-time = "2025-09-25T21:32:36.789Z" }, + { url = "https://files.pythonhosted.org/packages/92/b5/47e807c2623074914e29dabd16cbbdd4bf5e9b2db9f8090fa64411fc5382/pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7", size = 766454, upload-time = "2025-09-25T21:32:37.966Z" }, + { url = "https://files.pythonhosted.org/packages/02/9e/e5e9b168be58564121efb3de6859c452fccde0ab093d8438905899a3a483/pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788", size = 836355, upload-time = "2025-09-25T21:32:39.178Z" }, + { url = "https://files.pythonhosted.org/packages/88/f9/16491d7ed2a919954993e48aa941b200f38040928474c9e85ea9e64222c3/pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5", size = 794175, upload-time = "2025-09-25T21:32:40.865Z" }, + { url = "https://files.pythonhosted.org/packages/dd/3f/5989debef34dc6397317802b527dbbafb2b4760878a53d4166579111411e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764", size = 755228, upload-time = "2025-09-25T21:32:42.084Z" }, + { url = "https://files.pythonhosted.org/packages/d7/ce/af88a49043cd2e265be63d083fc75b27b6ed062f5f9fd6cdc223ad62f03e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35", size = 789194, upload-time = "2025-09-25T21:32:43.362Z" }, + { url = "https://files.pythonhosted.org/packages/23/20/bb6982b26a40bb43951265ba29d4c246ef0ff59c9fdcdf0ed04e0687de4d/pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac", size = 156429, upload-time = "2025-09-25T21:32:57.844Z" }, + { url = "https://files.pythonhosted.org/packages/f4/f4/a4541072bb9422c8a883ab55255f918fa378ecf083f5b85e87fc2b4eda1b/pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3", size = 143912, upload-time = "2025-09-25T21:32:59.247Z" }, + { url = "https://files.pythonhosted.org/packages/7c/f9/07dd09ae774e4616edf6cda684ee78f97777bdd15847253637a6f052a62f/pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3", size = 189108, upload-time = "2025-09-25T21:32:44.377Z" }, + { url = "https://files.pythonhosted.org/packages/4e/78/8d08c9fb7ce09ad8c38ad533c1191cf27f7ae1effe5bb9400a46d9437fcf/pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba", size = 183641, upload-time = "2025-09-25T21:32:45.407Z" }, + { url = "https://files.pythonhosted.org/packages/7b/5b/3babb19104a46945cf816d047db2788bcaf8c94527a805610b0289a01c6b/pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c", size = 831901, upload-time = "2025-09-25T21:32:48.83Z" }, + { url = "https://files.pythonhosted.org/packages/8b/cc/dff0684d8dc44da4d22a13f35f073d558c268780ce3c6ba1b87055bb0b87/pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702", size = 861132, upload-time = "2025-09-25T21:32:50.149Z" }, + { url = "https://files.pythonhosted.org/packages/b1/5e/f77dc6b9036943e285ba76b49e118d9ea929885becb0a29ba8a7c75e29fe/pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c", size = 839261, upload-time = "2025-09-25T21:32:51.808Z" }, + { url = "https://files.pythonhosted.org/packages/ce/88/a9db1376aa2a228197c58b37302f284b5617f56a5d959fd1763fb1675ce6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065", size = 805272, upload-time = "2025-09-25T21:32:52.941Z" }, + { url = "https://files.pythonhosted.org/packages/da/92/1446574745d74df0c92e6aa4a7b0b3130706a4142b2d1a5869f2eaa423c6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65", size = 829923, upload-time = "2025-09-25T21:32:54.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7a/1c7270340330e575b92f397352af856a8c06f230aa3e76f86b39d01b416a/pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9", size = 174062, upload-time = "2025-09-25T21:32:55.767Z" }, + { url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341, upload-time = "2025-09-25T21:32:56.828Z" }, ] [[package]] @@ -2093,6 +2408,16 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" }, { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" }, { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" }, + { url = "https://files.pythonhosted.org/packages/87/45/19efbb3000956e82d0331bafca5d9ac19ea2857722fa2caacefb6042f39d/pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a", size = 1341197, upload-time = "2025-09-08T23:08:44.973Z" }, + { url = "https://files.pythonhosted.org/packages/48/43/d72ccdbf0d73d1343936296665826350cb1e825f92f2db9db3e61c2162a2/pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea", size = 897175, upload-time = "2025-09-08T23:08:46.601Z" }, + { url = "https://files.pythonhosted.org/packages/2f/2e/a483f73a10b65a9ef0161e817321d39a770b2acf8bcf3004a28d90d14a94/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96", size = 660427, upload-time = "2025-09-08T23:08:48.187Z" }, + { url = "https://files.pythonhosted.org/packages/f5/d2/5f36552c2d3e5685abe60dfa56f91169f7a2d99bbaf67c5271022ab40863/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d", size = 847929, upload-time = "2025-09-08T23:08:49.76Z" }, + { url = "https://files.pythonhosted.org/packages/c4/2a/404b331f2b7bf3198e9945f75c4c521f0c6a3a23b51f7a4a401b94a13833/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146", size = 1650193, upload-time = "2025-09-08T23:08:51.7Z" }, + { url = "https://files.pythonhosted.org/packages/1c/0b/f4107e33f62a5acf60e3ded67ed33d79b4ce18de432625ce2fc5093d6388/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd", size = 2024388, upload-time = "2025-09-08T23:08:53.393Z" }, + { url = "https://files.pythonhosted.org/packages/0d/01/add31fe76512642fd6e40e3a3bd21f4b47e242c8ba33efb6809e37076d9b/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a", size = 1885316, upload-time = "2025-09-08T23:08:55.702Z" }, + { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" }, + { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" }, + { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" }, { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" }, { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" }, { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" }, @@ -2250,6 +2575,35 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" }, { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" }, { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" }, + { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload-time = "2025-11-30T20:23:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload-time = "2025-11-30T20:23:29.151Z" }, + { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload-time = "2025-11-30T20:23:30.785Z" }, + { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload-time = "2025-11-30T20:23:32.209Z" }, + { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload-time = "2025-11-30T20:23:33.742Z" }, + { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload-time = "2025-11-30T20:23:35.253Z" }, + { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload-time = "2025-11-30T20:23:36.842Z" }, + { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload-time = "2025-11-30T20:23:38.343Z" }, + { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload-time = "2025-11-30T20:23:40.263Z" }, + { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload-time = "2025-11-30T20:23:42.186Z" }, + { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload-time = "2025-11-30T20:23:44.086Z" }, + { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload-time = "2025-11-30T20:23:46.004Z" }, + { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload-time = "2025-11-30T20:23:47.696Z" }, + { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload-time = "2025-11-30T20:23:49.501Z" }, + { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload-time = "2025-11-30T20:23:50.96Z" }, + { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload-time = "2025-11-30T20:23:52.494Z" }, + { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload-time = "2025-11-30T20:23:54.036Z" }, + { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload-time = "2025-11-30T20:23:55.556Z" }, + { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload-time = "2025-11-30T20:23:57.033Z" }, + { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload-time = "2025-11-30T20:23:58.637Z" }, + { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload-time = "2025-11-30T20:24:00.2Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload-time = "2025-11-30T20:24:01.759Z" }, + { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload-time = "2025-11-30T20:24:03.687Z" }, + { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload-time = "2025-11-30T20:24:05.232Z" }, + { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload-time = "2025-11-30T20:24:06.878Z" }, + { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload-time = "2025-11-30T20:24:08.445Z" }, + { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload-time = "2025-11-30T20:24:10.956Z" }, + { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload-time = "2025-11-30T20:24:12.735Z" }, + { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload-time = "2025-11-30T20:24:14.634Z" }, { url = "https://files.pythonhosted.org/packages/69/71/3f34339ee70521864411f8b6992e7ab13ac30d8e4e3309e07c7361767d91/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58", size = 372292, upload-time = "2025-11-30T20:24:16.537Z" }, { url = "https://files.pythonhosted.org/packages/57/09/f183df9b8f2d66720d2ef71075c59f7e1b336bec7ee4c48f0a2b06857653/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a", size = 362128, upload-time = "2025-11-30T20:24:18.086Z" }, { url = "https://files.pythonhosted.org/packages/7a/68/5c2594e937253457342e078f0cc1ded3dd7b2ad59afdbf2d354869110a02/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb", size = 391542, upload-time = "2025-11-30T20:24:20.092Z" }, @@ -2269,9 +2623,12 @@ name = "rpds-py" version = "2026.6.3" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", @@ -2323,6 +2680,35 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/85/ed/adab103321c0a6565d5ae1c2998349bc3ee175b82ccc5ae8fc04cc413075/rpds_py-2026.6.3-cp313-cp313-win32.whl", hash = "sha256:8c3d1e9c15b9d51ca0391e13da1a25a0a4df3c58a37c9dc368e0736cf7f69df0", size = 201710, upload-time = "2026-06-30T07:15:53.894Z" }, { url = "https://files.pythonhosted.org/packages/7b/ed/a03b09668e74e5dabbf2e211f6468e1820c0552f7b0500082da31841bf7b/rpds_py-2026.6.3-cp313-cp313-win_amd64.whl", hash = "sha256:9250a9a0a6fd4648b3f868da8d91a4c52b5811a62df58e753d50ae4454a36f80", size = 219454, upload-time = "2026-06-30T07:15:55.25Z" }, { url = "https://files.pythonhosted.org/packages/27/17/b8642c12930b71bc2b25831f6708ccf0f75abcd11883932ec9ce54ba3a78/rpds_py-2026.6.3-cp313-cp313-win_arm64.whl", hash = "sha256:900a67df3fd1660b035a4761c4ce73c382ea6b35f90f9863c36c6fd8bf8b09bb", size = 215063, upload-time = "2026-06-30T07:15:56.573Z" }, + { url = "https://files.pythonhosted.org/packages/b6/36/7fbe9dcdaf857fb3f63c2a2284b62492d95f5e8334e947e5fb6e7f68c9be/rpds_py-2026.6.3-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:931908d9fc855d8f74783377822be318edb6dcb19e47169dc038f9a1bf60b06e", size = 344510, upload-time = "2026-06-30T07:15:57.921Z" }, + { url = "https://files.pythonhosted.org/packages/ba/54/f785cc3d3f60839ca57a5af4927a9f347b07b2799c373fc20f7949f87c7e/rpds_py-2026.6.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:d7469697dce35be237db177d42e2a2ee26e6dcc5fc052078a6fefabd288c6edd", size = 339495, upload-time = "2026-06-30T07:15:59.238Z" }, + { url = "https://files.pythonhosted.org/packages/63/ef/d4cdaf309e6b095b43597103cf8c0b951d6cca2acce68c474f75ec12e0c7/rpds_py-2026.6.3-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bcfbcf66006befb9fd2aeaa9e01feaf881b4dc330a02ba07d2322b1c11be7b5d", size = 369454, upload-time = "2026-06-30T07:16:01.021Z" }, + { url = "https://files.pythonhosted.org/packages/96/4a/9559a68b7ee15db09d7981212e8c2e219d2a1d6d4faa0391d813c3496a36/rpds_py-2026.6.3-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847927daf4cffbd4e90e42bc890069897101edd015f956cb8721b3473372edda", size = 374583, upload-time = "2026-06-30T07:16:02.287Z" }, + { url = "https://files.pythonhosted.org/packages/ef/75/8964aa7d2c6e8ac43eba8eb6e6b0fdda1f46d39f2fc3e6aa9f2cb17f485d/rpds_py-2026.6.3-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aca6c1ef08a82bfe327cc156da694660f599923e2e6665b6d81c9c2d0ac9ffc8", size = 492919, upload-time = "2026-06-30T07:16:03.723Z" }, + { url = "https://files.pythonhosted.org/packages/8f/97/6908094ac804115e65aedfd90f1b5fee4eebebd3f6c4cfc5419939267565/rpds_py-2026.6.3-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ae50181a047c871561212bb97f7932a2d45fb53e947bd9b57ebad85b529cbc53", size = 383725, upload-time = "2026-06-30T07:16:05.305Z" }, + { url = "https://files.pythonhosted.org/packages/d1/9c/0d1fdc2e7aba23e290d603bc494e97bd205bae262ce33c6b32a69768ed5e/rpds_py-2026.6.3-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc319e5a1de4b6913aac94bf6a2f9e847371e0a140a43dd4991db1a09bc2d504", size = 367255, upload-time = "2026-06-30T07:16:07.086Z" }, + { url = "https://files.pythonhosted.org/packages/c4/fe/f0209ca4a9ed074bc8acb44dfd0e81c3122e94c9689f5645b7973a866719/rpds_py-2026.6.3-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:e4316bf32babbed84e691e352faf967ce2f0f024174a8643c37c94a1080374fc", size = 379060, upload-time = "2026-06-30T07:16:08.525Z" }, + { url = "https://files.pythonhosted.org/packages/c6/8d/f1cc54c616b9d8897de8738aac148d20afca93f68187475fe194d09a71b9/rpds_py-2026.6.3-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8c6e5a2f750cc71c3e3b11d71661f21d6f9bc6cebc6564b1466417a1ec03ec77", size = 395960, upload-time = "2026-06-30T07:16:09.989Z" }, + { url = "https://files.pythonhosted.org/packages/fb/04/aafff00f73aeca2945f734f1d483c64ab8f472d0864ab02377fd8e89c3b2/rpds_py-2026.6.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:4470ce197d4090875cf6affbf1f853338387428df97c4fb7b7106317b8214698", size = 545356, upload-time = "2026-06-30T07:16:11.816Z" }, + { url = "https://files.pythonhosted.org/packages/fd/cc/e229663b9e4ddac5a4acbe9085dd80a71af2a5d356b8b39d6bff233f24b0/rpds_py-2026.6.3-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ea964164cc9afa72d4d9b23cc28dafae93693c0a53e0b42acbff15b22c3f9ddd", size = 612319, upload-time = "2026-06-30T07:16:13.586Z" }, + { url = "https://files.pythonhosted.org/packages/e3/7a/8a0e6d3e6cd066af108b71b43122c3fe158dd9eb86acac626593a2582eb1/rpds_py-2026.6.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:639c8929aa0afe81be836b04de888460d6bed38b9c54cfc18da8f6bfabf5af5d", size = 573508, upload-time = "2026-06-30T07:16:15.23Z" }, + { url = "https://files.pythonhosted.org/packages/87/03/2a69ab618a789cf6cf85c86bb844c62d090e700ab1a2aa676b3741b6c516/rpds_py-2026.6.3-cp314-cp314-win32.whl", hash = "sha256:882076c00c0a608b131187055ddc5ae29f2e7eaf870d6168980420d58528a5c8", size = 202504, upload-time = "2026-06-30T07:16:16.893Z" }, + { url = "https://files.pythonhosted.org/packages/85/62/a3892ba945f4e24c78f352e5de3c7620d8479f73f211406a97263d13c7d2/rpds_py-2026.6.3-cp314-cp314-win_amd64.whl", hash = "sha256:0be972be84cfcaf46c8c6edf690ca0f154ac17babf1f6a955a51579b34ad2dc5", size = 220380, upload-time = "2026-06-30T07:16:18.108Z" }, + { url = "https://files.pythonhosted.org/packages/3d/e7/c2bd44dc831931815ad11ebb5f430b5a0a4d3caa9de837107876c30c3432/rpds_py-2026.6.3-cp314-cp314-win_arm64.whl", hash = "sha256:2a9c6f195058cb45335e8cc3802745c603d716eb96bc9625950c1aac71c0c703", size = 215976, upload-time = "2026-06-30T07:16:19.654Z" }, + { url = "https://files.pythonhosted.org/packages/79/9c/fff7b74bce9a091ec9a012a03f9ff5f69364eaf9451060dfc4486da2ffdd/rpds_py-2026.6.3-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:f90938e92afda60266da758ee7d363447f7f0138c9559f9e1811629580582d90", size = 346840, upload-time = "2026-06-30T07:16:21.268Z" }, + { url = "https://files.pythonhosted.org/packages/e9/44/77bcb1168b33704908295533d27f10eb811e9e3e193e8993dc99572211d3/rpds_py-2026.6.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ec829541c45bca16e61c7ae50c20501f213605beb75d1aba91a6ee37fbbb56a4", size = 340282, upload-time = "2026-06-30T07:16:22.875Z" }, + { url = "https://files.pythonhosted.org/packages/87/3c/7a9081c7c9e645b39efe19e4ffbeccd80add246327cd9b888aecffd72317/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afd70d95892096cdb26f15a00c45907b17817577aa8d1c76b2dcc2788391f9e9", size = 370403, upload-time = "2026-06-30T07:16:24.415Z" }, + { url = "https://files.pythonhosted.org/packages/f7/69/af47021eb7dad6ff3396cb001c08f0f3c4d06c20253f75be6421a59fe6b7/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:29dfa0533a5d4c94d4dfa1b694fcb56c9c63aad8330ffdd816fd225d0a7a162f", size = 376055, upload-time = "2026-06-30T07:16:26.111Z" }, + { url = "https://files.pythonhosted.org/packages/81/fc/a3bcf517084396a6dd258c592567a3c011ba4557f2fde23dceaf26e74f2e/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:af05d726809bff6b141be124d4c7ce998f9c9c7f30edb1f46c07aa103d540b41", size = 494419, upload-time = "2026-06-30T07:16:27.596Z" }, + { url = "https://files.pythonhosted.org/packages/c9/eb/13d529d1788135425c7bf207f8463458ca5d92e43f3f701365b83e9dffc1/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9826217f048f620d9a712672818bf231442c1b35d96b227a07eabd11b4bb6945", size = 384848, upload-time = "2026-06-30T07:16:29.183Z" }, + { url = "https://files.pythonhosted.org/packages/8e/f4/b7ac49f30013aba8f7b9566b1dd07e81de95e708c1374b7bacc5b9bc5c9c/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:536bceea4fa4acf7e1c61da2b5786304367c816c8895be71b8f537c480b0ea1f", size = 371369, upload-time = "2026-06-30T07:16:30.912Z" }, + { url = "https://files.pythonhosted.org/packages/31/86/6260bafa622f788b07ddec0e52d810305c8b9b0b8c27f58a2ab04bf62b4f/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:bc0011654b91cc4fb2ae701bec0a0ba1e552c0714247fa7af6c59e0ccfa3a4e1", size = 379673, upload-time = "2026-06-30T07:16:32.486Z" }, + { url = "https://files.pythonhosted.org/packages/19/c3/03f1ee79a047b48daeca157c89a18509cde22b6b951d642b9b0af1be660a/rpds_py-2026.6.3-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:539d75de9e0d536c84ff18dfeb805398e58227001ce09231a26a08b9aed1ee0e", size = 397500, upload-time = "2026-06-30T07:16:34.471Z" }, + { url = "https://files.pythonhosted.org/packages/f0/95/8ed0cd8c377dca12aea498f119fe639fc474d1461545c39d2b5872eb1c0f/rpds_py-2026.6.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:166cf54d9f44fc6ceb53c7860258dde44a81406646de79f8ed3234fca3b6e538", size = 545978, upload-time = "2026-06-30T07:16:36.45Z" }, + { url = "https://files.pythonhosted.org/packages/d3/f2/0eb57f0eaa83f8fc152a7e03de968ab77e1f00732bebc892b190c6eebde7/rpds_py-2026.6.3-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:d34c20167764fbcf927194d532dd7e0c56772f0a5f943fa5ef9e9afbba8fb9db", size = 613350, upload-time = "2026-06-30T07:16:38.213Z" }, + { url = "https://files.pythonhosted.org/packages/5b/de/e0674bdbc3ef7634989b3f854c3f34bc1f587d36e5bfdc5c378d57034619/rpds_py-2026.6.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ea7bb13b7c9a29791f87a0387ba7d3ad3a6d783d827e4d3f27b40a0ff44495e2", size = 576486, upload-time = "2026-06-30T07:16:39.797Z" }, + { url = "https://files.pythonhosted.org/packages/f2/f6/21101359743cd136ada781e8210a85769578422ba460672eea0e29739200/rpds_py-2026.6.3-cp314-cp314t-win32.whl", hash = "sha256:6de4744d05bd1aa1be4ed7ea1189e3979196808008113bbbf899a460966b925e", size = 201068, upload-time = "2026-06-30T07:16:41.316Z" }, + { url = "https://files.pythonhosted.org/packages/a6/b2/9574d4d44f7760c2aa32d92a0a4f41698e33f5b204a0bf5c9758f52c79d5/rpds_py-2026.6.3-cp314-cp314t-win_amd64.whl", hash = "sha256:c7b9a2f8f4d8e90af72571d3d495deebdd7e3c75451f5b41719aee166e940fc2", size = 220600, upload-time = "2026-06-30T07:16:43.091Z" }, { url = "https://files.pythonhosted.org/packages/b4/9c/f0d19ac587fd0e4ab6b72cda355e9c5a6166b01ef7e064e437aef8eb9fef/rpds_py-2026.6.3-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:4cf2d36a2357e4d07bb5a4f98801265327b48256867816cfd2ceb001e9754a8f", size = 349791, upload-time = "2026-06-30T07:17:33.315Z" }, { url = "https://files.pythonhosted.org/packages/38/c7/1d49d204c9fd2ee6c537601dc4c1ba921e03363ca576bfab94a00254ac9a/rpds_py-2026.6.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:30c6dc199b24a5e3e81d50da0f00858c5bbdb2617a750395687f4339c5818171", size = 352842, upload-time = "2026-06-30T07:17:34.897Z" }, { url = "https://files.pythonhosted.org/packages/ac/e5/c0b5dc93cd0d4c06ce1f438907649514e2ea077bcd911e3154a51e96c38e/rpds_py-2026.6.3-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9891e594296ab9dada6551c8e7b387b2721f27a67eecd528412e8906247a7b90", size = 382094, upload-time = "2026-06-30T07:17:36.514Z" }, @@ -2450,6 +2836,26 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/bd/12/d19da97efde68ca1ee5538bb261d5d2c062f0c055575128f11a2730e3ac1/scipy-1.17.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:94055a11dfebe37c656e70317e1996dc197e1a15bbcc351bcdd4610e128fe1ca", size = 37665910, upload-time = "2026-02-23T00:20:34.743Z" }, { url = "https://files.pythonhosted.org/packages/06/1c/1172a88d507a4baaf72c5a09bb6c018fe2ae0ab622e5830b703a46cc9e44/scipy-1.17.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e30bdeaa5deed6bc27b4cc490823cd0347d7dae09119b8803ae576ea0ce52e4c", size = 36562980, upload-time = "2026-02-23T00:20:40.575Z" }, { url = "https://files.pythonhosted.org/packages/70/b0/eb757336e5a76dfa7911f63252e3b7d1de00935d7705cf772db5b45ec238/scipy-1.17.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a720477885a9d2411f94a93d16f9d89bad0f28ca23c3f8daa521e2dcc3f44d49", size = 24856543, upload-time = "2026-02-23T00:20:45.313Z" }, + { url = "https://files.pythonhosted.org/packages/cf/83/333afb452af6f0fd70414dc04f898647ee1423979ce02efa75c3b0f2c28e/scipy-1.17.1-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:a48a72c77a310327f6a3a920092fa2b8fd03d7deaa60f093038f22d98e096717", size = 31584510, upload-time = "2026-02-23T00:21:01.015Z" }, + { url = "https://files.pythonhosted.org/packages/ed/a6/d05a85fd51daeb2e4ea71d102f15b34fedca8e931af02594193ae4fd25f7/scipy-1.17.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:45abad819184f07240d8a696117a7aacd39787af9e0b719d00285549ed19a1e9", size = 28170131, upload-time = "2026-02-23T00:21:05.888Z" }, + { url = "https://files.pythonhosted.org/packages/db/7b/8624a203326675d7746a254083a187398090a179335b2e4a20e2ddc46e83/scipy-1.17.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:3fd1fcdab3ea951b610dc4cef356d416d5802991e7e32b5254828d342f7b7e0b", size = 20342032, upload-time = "2026-02-23T00:21:09.904Z" }, + { url = "https://files.pythonhosted.org/packages/c9/35/2c342897c00775d688d8ff3987aced3426858fd89d5a0e26e020b660b301/scipy-1.17.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7bdf2da170b67fdf10bca777614b1c7d96ae3ca5794fd9587dce41eb2966e866", size = 22678766, upload-time = "2026-02-23T00:21:14.313Z" }, + { url = "https://files.pythonhosted.org/packages/ef/f2/7cdb8eb308a1a6ae1e19f945913c82c23c0c442a462a46480ce487fdc0ac/scipy-1.17.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:adb2642e060a6549c343603a3851ba76ef0b74cc8c079a9a58121c7ec9fe2350", size = 32957007, upload-time = "2026-02-23T00:21:19.663Z" }, + { url = "https://files.pythonhosted.org/packages/0b/2e/7eea398450457ecb54e18e9d10110993fa65561c4f3add5e8eccd2b9cd41/scipy-1.17.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eee2cfda04c00a857206a4330f0c5e3e56535494e30ca445eb19ec624ae75118", size = 35221333, upload-time = "2026-02-23T00:21:25.278Z" }, + { url = "https://files.pythonhosted.org/packages/d9/77/5b8509d03b77f093a0d52e606d3c4f79e8b06d1d38c441dacb1e26cacf46/scipy-1.17.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d2650c1fb97e184d12d8ba010493ee7b322864f7d3d00d3f9bb97d9c21de4068", size = 35042066, upload-time = "2026-02-23T00:21:31.358Z" }, + { url = "https://files.pythonhosted.org/packages/f9/df/18f80fb99df40b4070328d5ae5c596f2f00fffb50167e31439e932f29e7d/scipy-1.17.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:08b900519463543aa604a06bec02461558a6e1cef8fdbb8098f77a48a83c8118", size = 37612763, upload-time = "2026-02-23T00:21:37.247Z" }, + { url = "https://files.pythonhosted.org/packages/4b/39/f0e8ea762a764a9dc52aa7dabcfad51a354819de1f0d4652b6a1122424d6/scipy-1.17.1-cp314-cp314-win_amd64.whl", hash = "sha256:3877ac408e14da24a6196de0ddcace62092bfc12a83823e92e49e40747e52c19", size = 37290984, upload-time = "2026-02-23T00:22:35.023Z" }, + { url = "https://files.pythonhosted.org/packages/7c/56/fe201e3b0f93d1a8bcf75d3379affd228a63d7e2d80ab45467a74b494947/scipy-1.17.1-cp314-cp314-win_arm64.whl", hash = "sha256:f8885db0bc2bffa59d5c1b72fad7a6a92d3e80e7257f967dd81abb553a90d293", size = 25192877, upload-time = "2026-02-23T00:22:39.798Z" }, + { url = "https://files.pythonhosted.org/packages/96/ad/f8c414e121f82e02d76f310f16db9899c4fcde36710329502a6b2a3c0392/scipy-1.17.1-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:1cc682cea2ae55524432f3cdff9e9a3be743d52a7443d0cba9017c23c87ae2f6", size = 31949750, upload-time = "2026-02-23T00:21:42.289Z" }, + { url = "https://files.pythonhosted.org/packages/7c/b0/c741e8865d61b67c81e255f4f0a832846c064e426636cd7de84e74d209be/scipy-1.17.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:2040ad4d1795a0ae89bfc7e8429677f365d45aa9fd5e4587cf1ea737f927b4a1", size = 28585858, upload-time = "2026-02-23T00:21:47.706Z" }, + { url = "https://files.pythonhosted.org/packages/ed/1b/3985219c6177866628fa7c2595bfd23f193ceebbe472c98a08824b9466ff/scipy-1.17.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:131f5aaea57602008f9822e2115029b55d4b5f7c070287699fe45c661d051e39", size = 20757723, upload-time = "2026-02-23T00:21:52.039Z" }, + { url = "https://files.pythonhosted.org/packages/c0/19/2a04aa25050d656d6f7b9e7b685cc83d6957fb101665bfd9369ca6534563/scipy-1.17.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:9cdc1a2fcfd5c52cfb3045feb399f7b3ce822abdde3a193a6b9a60b3cb5854ca", size = 23043098, upload-time = "2026-02-23T00:21:56.185Z" }, + { url = "https://files.pythonhosted.org/packages/86/f1/3383beb9b5d0dbddd030335bf8a8b32d4317185efe495374f134d8be6cce/scipy-1.17.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6e3dcd57ab780c741fde8dc68619de988b966db759a3c3152e8e9142c26295ad", size = 33030397, upload-time = "2026-02-23T00:22:01.404Z" }, + { url = "https://files.pythonhosted.org/packages/41/68/8f21e8a65a5a03f25a79165ec9d2b28c00e66dc80546cf5eb803aeeff35b/scipy-1.17.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a9956e4d4f4a301ebf6cde39850333a6b6110799d470dbbb1e25326ac447f52a", size = 35281163, upload-time = "2026-02-23T00:22:07.024Z" }, + { url = "https://files.pythonhosted.org/packages/84/8d/c8a5e19479554007a5632ed7529e665c315ae7492b4f946b0deb39870e39/scipy-1.17.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a4328d245944d09fd639771de275701ccadf5f781ba0ff092ad141e017eccda4", size = 35116291, upload-time = "2026-02-23T00:22:12.585Z" }, + { url = "https://files.pythonhosted.org/packages/52/52/e57eceff0e342a1f50e274264ed47497b59e6a4e3118808ee58ddda7b74a/scipy-1.17.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a77cbd07b940d326d39a1d1b37817e2ee4d79cb30e7338f3d0cddffae70fcaa2", size = 37682317, upload-time = "2026-02-23T00:22:18.513Z" }, + { url = "https://files.pythonhosted.org/packages/11/2f/b29eafe4a3fbc3d6de9662b36e028d5f039e72d345e05c250e121a230dd4/scipy-1.17.1-cp314-cp314t-win_amd64.whl", hash = "sha256:eb092099205ef62cd1782b006658db09e2fed75bffcae7cc0d44052d8aa0f484", size = 37345327, upload-time = "2026-02-23T00:22:24.442Z" }, + { url = "https://files.pythonhosted.org/packages/07/39/338d9219c4e87f3e708f18857ecd24d22a0c3094752393319553096b98af/scipy-1.17.1-cp314-cp314t-win_arm64.whl", hash = "sha256:200e1050faffacc162be6a486a984a0497866ec54149a01270adc8a59b7c7d21", size = 25489165, upload-time = "2026-02-23T00:22:29.563Z" }, ] [[package]] @@ -2457,9 +2863,12 @@ name = "scipy" version = "1.18.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] dependencies = [ { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, @@ -2486,6 +2895,26 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/bb/73/eda39f7a2d306ff0ffc574afd13c0bbb6d10a603d9a413998ee269487a80/scipy-1.18.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b6f758e35f12757b5d95c00bc6de2438e229c2664b7a92e96f205959d9f2dfa4", size = 37404785, upload-time = "2026-06-19T15:00:34.072Z" }, { url = "https://files.pythonhosted.org/packages/b7/d2/ae881ee28d014f38e0ccbfd974a06a919ba9af34f1f74bf42b5301891d63/scipy-1.18.0-cp313-cp313-win_amd64.whl", hash = "sha256:1afac4a847207c7ff8efd321734a50b06d0280b3b2a2c0fc2f413101747ad7c7", size = 36554943, upload-time = "2026-06-19T15:00:36.903Z" }, { url = "https://files.pythonhosted.org/packages/70/3a/21154e2d54eb3639c6bf4dbae2e531c68356bfe95990daa30df33b30d556/scipy-1.18.0-cp313-cp313-win_arm64.whl", hash = "sha256:c5dbddf60e58c2312316d097271a8e73d40eaf2eabfa4d95ed7d3695bbf2ce7b", size = 24350911, upload-time = "2026-06-19T15:00:40.062Z" }, + { url = "https://files.pythonhosted.org/packages/78/b5/915a19b3de2f7430062b509653563db1633ddbb6f021b06731521115d4e2/scipy-1.18.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:4c256ee70c0d1a8a2ace807e199ccd4e3f57037433842abb3fb36bc17eaa9578", size = 31036253, upload-time = "2026-06-19T15:00:43.216Z" }, + { url = "https://files.pythonhosted.org/packages/d7/88/b72def7262e150d16be13fca37a96481138d624e700340bc3362a7588929/scipy-1.18.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:2ef3abc54a4ffc53765374b0d5728532dfdd2585ed23f6b11c206a1f0b1b9af8", size = 28673758, upload-time = "2026-06-19T15:00:46.663Z" }, + { url = "https://files.pythonhosted.org/packages/91/02/2e636a61a525632c373cf6a9c24442a3ffb79e364d38e98b32042964ac32/scipy-1.18.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2a6af57bd9e4a75d70e4117e78a1bbee84f79ae3fbb6d0111005d6ebcc4cb8d", size = 20415514, upload-time = "2026-06-19T15:00:49.399Z" }, + { url = "https://files.pythonhosted.org/packages/c9/b6/2135974442f6aba159d9d39d774a1c8cb19947016725d69fecc685df45bf/scipy-1.18.0-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:3f1ac564d3bf6c03d861d2cd87a1bea0da2887136f7fb1bf519c05a8971452d6", size = 23034398, upload-time = "2026-06-19T15:00:51.941Z" }, + { url = "https://files.pythonhosted.org/packages/f6/e6/ba89ec5abf6ee9257c0d1ec985573f3ae32742c24bc03e016388a40b1b15/scipy-1.18.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:40395a5fcd1abee49a5c7aaa98c29db393eedc835138560a588c47ec16156690", size = 33998032, upload-time = "2026-06-19T15:00:54.838Z" }, + { url = "https://files.pythonhosted.org/packages/7f/c4/bc41eb19b0fd0db868f4132920879019318d80cc522ad8f2bca4611af808/scipy-1.18.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8ca01e8ae69f1b18e9a58d91afead31be3cef0dd905a10249dac559ee15460a0", size = 35283333, upload-time = "2026-06-19T15:00:58.152Z" }, + { url = "https://files.pythonhosted.org/packages/53/a4/cbdeef6eb3830a8462a9d4ada814de5fc984345cc9ecf17cbec51a036f1e/scipy-1.18.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7a7f3b01647384dbc3a711e8c6778e0aabbe93959249fef5c7393396bcac0867", size = 35610216, upload-time = "2026-06-19T15:01:01.155Z" }, + { url = "https://files.pythonhosted.org/packages/80/4d/b2b82502b65f661d1b789c1665dcdf315d5f12194e06fc0b37946294ebae/scipy-1.18.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6aa94e78ec192a30063a5e72e561c28af769dc311190b24fe91774eff1969709", size = 37418960, upload-time = "2026-06-19T15:01:04.155Z" }, + { url = "https://files.pythonhosted.org/packages/93/3e/902d836831474b0ab5a37d16404f7bc5fafd9efba632890e271ba952635f/scipy-1.18.0-cp314-cp314-win_amd64.whl", hash = "sha256:2d8bbdc6c817f5b4006a54d799d4f5bab6f910193cbb9a1ff310833d4d270f61", size = 37288845, upload-time = "2026-06-19T15:01:07.822Z" }, + { url = "https://files.pythonhosted.org/packages/b6/43/8d73b337a3bdb14daa0314f0434210747c02d79d729ce1777574a817dcf6/scipy-1.18.0-cp314-cp314-win_arm64.whl", hash = "sha256:18e9575f1569b2c54174e6159d32942e03731177f63dce7975f0a0c88d102f5b", size = 24988971, upload-time = "2026-06-19T15:01:11.076Z" }, + { url = "https://files.pythonhosted.org/packages/b4/b4/f11918b0508a2787031a0499a03fbe3546f3bb5ca05d01038c45b278c09a/scipy-1.18.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:f351e0dd702687d12a402b867a1b4146a256923e1c38317cbc472f6372b94707", size = 31399325, upload-time = "2026-06-19T15:01:13.723Z" }, + { url = "https://files.pythonhosted.org/packages/7b/d1/1f287b57c0ff0ee5185dff3946d92c8017d39b0e431f0ae79a3ff1859512/scipy-1.18.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:7c7a51b33ce387193c97f228320cf8e87361daa1bba750638677729598b3e677", size = 29092110, upload-time = "2026-06-19T15:01:16.908Z" }, + { url = "https://files.pythonhosted.org/packages/ff/1a/7b74eb6c392fdcb27d414c0e7558a6d0231eb3b6d73571f479bb81ea8794/scipy-1.18.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:84031d7b052a54fae2f8632e0ec802073d385476eb9a63079bce6e23ef9283d4", size = 20833811, upload-time = "2026-06-19T15:01:20.488Z" }, + { url = "https://files.pythonhosted.org/packages/7c/ad/f3941716320a7b9cb4d68734a903b45fe16eff5fb7da7e16f2e619304979/scipy-1.18.0-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:56abf29a7c067dde59be8b9a22d606a4ea1b2f2a4b756d9d903c62818f5dacce", size = 23396644, upload-time = "2026-06-19T15:01:23.364Z" }, + { url = "https://files.pythonhosted.org/packages/22/22/1446b62ffe07f9719b7d9b1b6a4e05a772833ae8f441fe4c22c34c9b250f/scipy-1.18.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ad44305cfa24b1ba5803cbbebf033590ccbac1aa5d612d727b785325ab408b0", size = 34079318, upload-time = "2026-06-19T15:01:26.002Z" }, + { url = "https://files.pythonhosted.org/packages/56/3b/b87da667098bb470fa30c7011b0ba351ee976dd395c78798c66e941665a3/scipy-1.18.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:945c1761b93f38d7f99ae81ae80c63e621471608c7eeead563f6df025585cd58", size = 35324320, upload-time = "2026-06-19T15:01:28.881Z" }, + { url = "https://files.pythonhosted.org/packages/f8/a1/c7932f91909759b0267f75fdea34e91309f96b895757534b76a90b6b4344/scipy-1.18.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:1a4441f15d620578772a49e5ab48c0ee1f7a0220e387110283062729136b2553", size = 35699541, upload-time = "2026-06-19T15:01:31.968Z" }, + { url = "https://files.pythonhosted.org/packages/f7/86/5185061a1fcc41d18c5dc2463969b3a3964b31d9ac67b2fb05d4c7ff7670/scipy-1.18.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9aac6192fac56bf2ca534389d24623f07b39ff83317d58287285e7fbd622ff76", size = 37472480, upload-time = "2026-06-19T15:01:35.136Z" }, + { url = "https://files.pythonhosted.org/packages/31/8e/f04c68e39919a010d34f2ee1367fd705b0a25a02f609d755f0bfbc0a15fc/scipy-1.18.0-cp314-cp314t-win_amd64.whl", hash = "sha256:e40baea28ae7f5475c779741e2d90b1247c78531207b49c7030e698ff81cee3f", size = 37365390, upload-time = "2026-06-19T15:01:38.091Z" }, + { url = "https://files.pythonhosted.org/packages/d5/19/969dc072906c84dd0a3b05dcf57ea750936087d7873549e408b35cfc3f97/scipy-1.18.0-cp314-cp314t-win_arm64.whl", hash = "sha256:368e0a705903c466aa5f08eefb39e6b1b6b2d659e7352a31fd9e2438365be0f8", size = 25279661, upload-time = "2026-06-19T15:01:40.817Z" }, ] [[package]] @@ -2588,6 +3017,24 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/16/f9/229fa3434c590ddf6c0aa9af64d3af4b752540686cace29e6281e3458469/tomli-2.4.1-cp313-cp313-win32.whl", hash = "sha256:2190f2e9dd7508d2a90ded5ed369255980a1bcdd58e52f7fe24b8162bf9fedbd", size = 97976, upload-time = "2026-03-25T20:21:39.316Z" }, { url = "https://files.pythonhosted.org/packages/6a/1e/71dfd96bcc1c775420cb8befe7a9d35f2e5b1309798f009dca17b7708c1e/tomli-2.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:8d65a2fbf9d2f8352685bc1364177ee3923d6baf5e7f43ea4959d7d8bc326a36", size = 108755, upload-time = "2026-03-25T20:21:40.248Z" }, { url = "https://files.pythonhosted.org/packages/83/7a/d34f422a021d62420b78f5c538e5b102f62bea616d1d75a13f0a88acb04a/tomli-2.4.1-cp313-cp313-win_arm64.whl", hash = "sha256:4b605484e43cdc43f0954ddae319fb75f04cc10dd80d830540060ee7cd0243cd", size = 95265, upload-time = "2026-03-25T20:21:41.219Z" }, + { url = "https://files.pythonhosted.org/packages/3c/fb/9a5c8d27dbab540869f7c1f8eb0abb3244189ce780ba9cd73f3770662072/tomli-2.4.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:fd0409a3653af6c147209d267a0e4243f0ae46b011aa978b1080359fddc9b6cf", size = 155726, upload-time = "2026-03-25T20:21:42.23Z" }, + { url = "https://files.pythonhosted.org/packages/62/05/d2f816630cc771ad836af54f5001f47a6f611d2d39535364f148b6a92d6b/tomli-2.4.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:a120733b01c45e9a0c34aeef92bf0cf1d56cfe81ed9d47d562f9ed591a9828ac", size = 149859, upload-time = "2026-03-25T20:21:43.386Z" }, + { url = "https://files.pythonhosted.org/packages/ce/48/66341bdb858ad9bd0ceab5a86f90eddab127cf8b046418009f2125630ecb/tomli-2.4.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:559db847dc486944896521f68d8190be1c9e719fced785720d2216fe7022b662", size = 244713, upload-time = "2026-03-25T20:21:44.474Z" }, + { url = "https://files.pythonhosted.org/packages/df/6d/c5fad00d82b3c7a3ab6189bd4b10e60466f22cfe8a08a9394185c8a8111c/tomli-2.4.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01f520d4f53ef97964a240a035ec2a869fe1a37dde002b57ebc4417a27ccd853", size = 252084, upload-time = "2026-03-25T20:21:45.62Z" }, + { url = "https://files.pythonhosted.org/packages/00/71/3a69e86f3eafe8c7a59d008d245888051005bd657760e96d5fbfb0b740c2/tomli-2.4.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7f94b27a62cfad8496c8d2513e1a222dd446f095fca8987fceef261225538a15", size = 247973, upload-time = "2026-03-25T20:21:46.937Z" }, + { url = "https://files.pythonhosted.org/packages/67/50/361e986652847fec4bd5e4a0208752fbe64689c603c7ae5ea7cb16b1c0ca/tomli-2.4.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ede3e6487c5ef5d28634ba3f31f989030ad6af71edfb0055cbbd14189ff240ba", size = 256223, upload-time = "2026-03-25T20:21:48.467Z" }, + { url = "https://files.pythonhosted.org/packages/8c/9a/b4173689a9203472e5467217e0154b00e260621caa227b6fa01feab16998/tomli-2.4.1-cp314-cp314-win32.whl", hash = "sha256:3d48a93ee1c9b79c04bb38772ee1b64dcf18ff43085896ea460ca8dec96f35f6", size = 98973, upload-time = "2026-03-25T20:21:49.526Z" }, + { url = "https://files.pythonhosted.org/packages/14/58/640ac93bf230cd27d002462c9af0d837779f8773bc03dee06b5835208214/tomli-2.4.1-cp314-cp314-win_amd64.whl", hash = "sha256:88dceee75c2c63af144e456745e10101eb67361050196b0b6af5d717254dddf7", size = 109082, upload-time = "2026-03-25T20:21:50.506Z" }, + { url = "https://files.pythonhosted.org/packages/d5/2f/702d5e05b227401c1068f0d386d79a589bb12bf64c3d2c72ce0631e3bc49/tomli-2.4.1-cp314-cp314-win_arm64.whl", hash = "sha256:b8c198f8c1805dc42708689ed6864951fd2494f924149d3e4bce7710f8eb5232", size = 96490, upload-time = "2026-03-25T20:21:51.474Z" }, + { url = "https://files.pythonhosted.org/packages/45/4b/b877b05c8ba62927d9865dd980e34a755de541eb65fffba52b4cc495d4d2/tomli-2.4.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:d4d8fe59808a54658fcc0160ecfb1b30f9089906c50b23bcb4c69eddc19ec2b4", size = 164263, upload-time = "2026-03-25T20:21:52.543Z" }, + { url = "https://files.pythonhosted.org/packages/24/79/6ab420d37a270b89f7195dec5448f79400d9e9c1826df982f3f8e97b24fd/tomli-2.4.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7008df2e7655c495dd12d2a4ad038ff878d4ca4b81fccaf82b714e07eae4402c", size = 160736, upload-time = "2026-03-25T20:21:53.674Z" }, + { url = "https://files.pythonhosted.org/packages/02/e0/3630057d8eb170310785723ed5adcdfb7d50cb7e6455f85ba8a3deed642b/tomli-2.4.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1d8591993e228b0c930c4bb0db464bdad97b3289fb981255d6c9a41aedc84b2d", size = 270717, upload-time = "2026-03-25T20:21:55.129Z" }, + { url = "https://files.pythonhosted.org/packages/7a/b4/1613716072e544d1a7891f548d8f9ec6ce2faf42ca65acae01d76ea06bb0/tomli-2.4.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:734e20b57ba95624ecf1841e72b53f6e186355e216e5412de414e3c51e5e3c41", size = 278461, upload-time = "2026-03-25T20:21:56.228Z" }, + { url = "https://files.pythonhosted.org/packages/05/38/30f541baf6a3f6df77b3df16b01ba319221389e2da59427e221ef417ac0c/tomli-2.4.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8a650c2dbafa08d42e51ba0b62740dae4ecb9338eefa093aa5c78ceb546fcd5c", size = 274855, upload-time = "2026-03-25T20:21:57.653Z" }, + { url = "https://files.pythonhosted.org/packages/77/a3/ec9dd4fd2c38e98de34223b995a3b34813e6bdadf86c75314c928350ed14/tomli-2.4.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:504aa796fe0569bb43171066009ead363de03675276d2d121ac1a4572397870f", size = 283144, upload-time = "2026-03-25T20:21:59.089Z" }, + { url = "https://files.pythonhosted.org/packages/ef/be/605a6261cac79fba2ec0c9827e986e00323a1945700969b8ee0b30d85453/tomli-2.4.1-cp314-cp314t-win32.whl", hash = "sha256:b1d22e6e9387bf4739fbe23bfa80e93f6b0373a7f1b96c6227c32bef95a4d7a8", size = 108683, upload-time = "2026-03-25T20:22:00.214Z" }, + { url = "https://files.pythonhosted.org/packages/12/64/da524626d3b9cc40c168a13da8335fe1c51be12c0a63685cc6db7308daae/tomli-2.4.1-cp314-cp314t-win_amd64.whl", hash = "sha256:2c1c351919aca02858f740c6d33adea0c5deea37f9ecca1cc1ef9e884a619d26", size = 121196, upload-time = "2026-03-25T20:22:01.169Z" }, + { url = "https://files.pythonhosted.org/packages/5a/cd/e80b62269fc78fc36c9af5a6b89c835baa8af28ff5ad28c7028d60860320/tomli-2.4.1-cp314-cp314t-win_arm64.whl", hash = "sha256:eab21f45c7f66c13f2a9e0e1535309cee140182a9cdae1e041d02e47291e8396", size = 100393, upload-time = "2026-03-25T20:22:02.137Z" }, { url = "https://files.pythonhosted.org/packages/7b/61/cceae43728b7de99d9b847560c262873a1f6c98202171fd5ed62640b494b/tomli-2.4.1-py3-none-any.whl", hash = "sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe", size = 14583, upload-time = "2026-03-25T20:22:03.012Z" }, ] @@ -2711,9 +3158,12 @@ name = "xarray" version = "2026.7.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12' and sys_platform == 'win32'", - "python_full_version >= '3.12' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.11.*' and sys_platform == 'win32'", "python_full_version == '3.11.*' and sys_platform == 'emscripten'", "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",