SPATZ/conversion.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/simulations/raw/40km.txt', sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       X-Acceleration w/o Gravity of STAHR_Rocket in ...\n",
       "1                                         Meter/Second**2\n",
       "2                                    9.67852498145304E+00\n",
       "3                                    9.67852498145304E+00\n",
       "4                                    9.67852498145304E+00\n",
       "                              ...                        \n",
       "1718                                 2.44784090479522E+00\n",
       "1719                                 2.17155207218444E+00\n",
       "1720                                 1.89344494094220E+00\n",
       "1721                                 1.61375233123499E+00\n",
       "1722                                 1.61375233123499E+00\n",
       "Name: acceleration_without_gravity_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket, Length: 1723, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['acceleration_without_gravity_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Phase', nan)\n",
      "('acceleration_without_gravity_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity_radial~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity_y~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity_z~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_without_gravity~STAHR_Rocket', 'Meter/Second**2')\n",
      "('acceleration_x~STAHR_Rocket#J2000@Earth', 'Meter/Second**2')\n",
      "('acceleration_y~STAHR_Rocket#J2000@Earth', 'Meter/Second**2')\n",
      "('acceleration_z~STAHR_Rocket#J2000@Earth', 'Meter/Second**2')\n",
      "('acceleration~STAHR_Rocket#J2000@Earth', 'Meter/Second**2')\n",
      "('acc_aero_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_aero_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_aero_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_aero~STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_normal~STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_thrust_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_thrust_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_thrust_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second**2')\n",
      "('acc_thrust~STAHR_Rocket', 'Meter/Second**2')\n",
      "('aero_area_ref~STAHR_Rocket', 'Meter^2')\n",
      "('aero_bank_angle~STAHR_Rocket', 'Degree')\n",
      "('aero_roll_angle~STAHR_Rocket', 'Degree')\n",
      "('airpath_angle~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('airpath_angle~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('AIRPATH_BANK_ANGLE~Esrange#A~Esrange:Earth', 'Radian')\n",
      "('AIRPATH_BANK_ANGLE~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Radian')\n",
      "('airpath_heading~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('airpath_heading~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('airpath_speed~STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('altitude_apoapsis~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('altitude_periapsis~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('altitude~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('angle1~IB3:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle1~IB3:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle1~STAHR:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle1~STAHR:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle2~IB3:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle2~IB3:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle2~STAHR:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle2~STAHR:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle3~IB3:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle3~IB3:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle3~STAHR:STAHR_Rocket#B~STAHR_Rocket', 'Radian')\n",
      "('angle3~STAHR:STAHR_Rocket#J2000', 'Radian')\n",
      "('angle_body_and_local_vertical~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('angle_of_attack_rate~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('ANGLE_OF_ATTACK~Esrange#A~Esrange:Earth', 'Radian')\n",
      "('angle_of_attack~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree')\n",
      "('angular_velocity~STAHR_Rocket#B~STAHR_Rocket', 'Degree/Second')\n",
      "('arc_length~STAHR_Rocket', 'Kilo-Meter')\n",
      "('ascending_node_rel~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('ascending_node~STAHR_Rocket#J2000', 'Degree')\n",
      "('ascending_node~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('asymptote_decl~STAHR_Rocket#J2000', 'Degree')\n",
      "('asymptote_decl~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('asymptote_right_ascension~STAHR_Rocket#J2000', 'Degree')\n",
      "('asymptote_right_ascension~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('atmos_density~STAHR_Rocket', 'Kilogram/Meter**3')\n",
      "('atmos_pressure~STAHR_Rocket', 'Pascal')\n",
      "('atmos_temperature~STAHR_Rocket', 'Kelvin')\n",
      "('bank_angle_rate~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('bank_angle~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree')\n",
      "('bending_moment~STAHR_Rocket', 'Pascal*Radian')\n",
      "('burn_time~IB3:STAHR_Rocket', 'Second')\n",
      "('cross_range~STAHR_Rocket', 'Kilo-Meter')\n",
      "('declination~STAHR_Rocket#J2000@Earth', 'Degree')\n",
      "('declination~STAHR_Rocket#PCPF~Earth@Earth', 'Degree')\n",
      "('declination~STAHR_Rocket#TOD~Earth@Earth', 'Degree')\n",
      "('DECL~STAHR_Rocket', 'Radian')\n",
      "('dimension_x~STAHR_Rocket', 'Meter')\n",
      "('dimension_y~STAHR_Rocket', 'Meter')\n",
      "('dimension_z~STAHR_Rocket', 'Meter')\n",
      "('down_range~STAHR_Rocket', 'Kilo-Meter')\n",
      "('drag_acc~STAHR_Rocket', 'Meter/Second**2')\n",
      "('drag_coeff~STAHR_Rocket', nan)\n",
      "('drag~STAHR_Rocket', 'Kilo-Newton')\n",
      "('dummy_altitude', 'Meter')\n",
      "('dummy_declination', 'Degree')\n",
      "('dummy_latitude', 'Degree')\n",
      "('dummy_longitude', 'Degree')\n",
      "('dummy_radius', 'Meter')\n",
      "('dynamic_pressure~STAHR_Rocket', 'Pascal')\n",
      "('dyn_viscosity~STAHR_Rocket', 'Pascal*Second')\n",
      "('eccentricity~STAHR_Rocket@Earth', nan)\n",
      "('eccentric_anomaly~STAHR_Rocket@Earth', 'Degree')\n",
      "('energy_total~STAHR_Rocket@Earth', 'Kilo-Joule/Kilogram')\n",
      "('equinoctial_f~STAHR_Rocket#TOD~Earth', nan)\n",
      "('equinoctial_g~STAHR_Rocket#TOD~Earth', nan)\n",
      "('equinoctial_h~STAHR_Rocket#TOD~Earth', nan)\n",
      "('equinoctial_k~STAHR_Rocket#TOD~Earth', nan)\n",
      "('equinoctial_l~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('equinoctial_p~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('excess_velocity~STAHR_Rocket@Earth', 'Kilo-Meter/Second')\n",
      "('flightpath_angle~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('flightpath_angle~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('flightpath_heading~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('flightpath_heading~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('flightpath_speed~STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('flightpath_vertical~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('flight_time', 'Second')\n",
      "('flight_time~STAHR_Rocket', 'Second')\n",
      "('force_aero_axial~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Kilo-Newton')\n",
      "('force_aero_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Newton')\n",
      "('force_aero_lateral~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Kilo-Newton')\n",
      "('force_aero_normal~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Kilo-Newton')\n",
      "('force_aero_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Newton')\n",
      "('force_aero_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Newton')\n",
      "('gps_time', 'Second')\n",
      "('gravity_force_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton')\n",
      "('gravity_force_y~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton')\n",
      "('gravity_force_z~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton')\n",
      "('gravity_potential~Esrange', 'Kilo-Joule/Kilogram')\n",
      "('gravity_potential~STAHR_Rocket@Earth', 'Kilo-Joule/Kilogram')\n",
      "('gravity~STAHR_Rocket', 'Meter/Second**2')\n",
      "('great_circle_distance~STAHR_Rocket', 'Kilo-Meter')\n",
      "('heat_flux_density~STAHR_Rocket', 'Kilo-Watt/Meter**2')\n",
      "('hload_lift~STAHR_Rocket', nan)\n",
      "('inclination~STAHR_Rocket#J2000', 'Degree')\n",
      "('inclination~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('inertial_flightpath_vertical~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('inertial_flightpath~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('inertial_heading~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('inertial_speed~STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('inertia_xx~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('inertia_xy~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('inertia_xz~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('inertia_yy~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('inertia_yz~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('inertia_zz~STAHR_Rocket', 'Kilogram*Meter**2')\n",
      "('isp_vacuum~IB3:STAHR_Rocket', 'Second')\n",
      "('isp~IB3:STAHR_Rocket', 'Second')\n",
      "('julian_date_tt', 'Day')\n",
      "('julian_date_utc', 'Day')\n",
      "('knudsen_number~STAHR_Rocket', nan)\n",
      "('latitude~STAHR_Rocket#PCPF~Earth@Earth', 'Degree')\n",
      "('lift_acc~STAHR_Rocket', 'Meter/Second**2')\n",
      "('lift_coeff~STAHR_Rocket', nan)\n",
      "('lift_drag_ratio~STAHR_Rocket', nan)\n",
      "('lift~STAHR_Rocket', 'Kilo-Newton')\n",
      "('load_factor_axial~STAHR_Rocket', nan)\n",
      "('load_factor_cross~STAHR_Rocket', nan)\n",
      "('load_factor_normal~STAHR_Rocket', nan)\n",
      "('load_factor~STAHR_Rocket', nan)\n",
      "('local_central_body_radius~STAHR_Rocket', 'Kilo-Meter')\n",
      "('longitude~STAHR_Rocket#PCPF~Earth@Earth', 'Degree')\n",
      "('LONG~STAHR_Rocket', 'Radian')\n",
      "('mach~STAHR_Rocket', nan)\n",
      "('magnetic_flux_density_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density_radial~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density_y~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density_z~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Nano-Tesla')\n",
      "('magnetic_flux_density~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Nano-Tesla')\n",
      "('mass_flow~IB3:STAHR_Rocket', 'Kilogram/Second')\n",
      "('mass_total~STAHR_Rocket', 'Mega-Gram')\n",
      "('mean_anomaly~STAHR_Rocket@Earth', 'Degree')\n",
      "('mean_local_time_of_the_ascending_node~STAHR_Rocket', 'Hour')\n",
      "('mean_motion~STAHR_Rocket@Earth', 'Radian/Second')\n",
      "('mission_time', 'Second')\n",
      "('moment_aero_x~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('moment_aero_y~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('moment_aero_z~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('Norm_Indep_Var', nan)\n",
      "('nozzle_area~IB3:STAHR_Rocket', 'Meter^2')\n",
      "('OMEGA_X~STAHR_Rocket', 'Radian/Second')\n",
      "('omega_x~STAHR_Rocket#B~STAHR_Rocket', 'Degree/Second')\n",
      "('OMEGA_Y~STAHR_Rocket', 'Radian/Second')\n",
      "('omega_y~STAHR_Rocket#B~STAHR_Rocket', 'Degree/Second')\n",
      "('OMEGA_Z~STAHR_Rocket', 'Radian/Second')\n",
      "('omega_z~STAHR_Rocket#B~STAHR_Rocket', 'Degree/Second')\n",
      "('orbital_period~STAHR_Rocket@Earth', 'Second')\n",
      "('periapsis_argument~STAHR_Rocket#J2000', 'Degree')\n",
      "('periapsis_argument~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('pitch_rate~STAHR_Rocket#J2000', 'Degree/Second')\n",
      "('pitch_rate~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('pitch_rate~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('PITCH~Esrange#L~Esrange:Earth', 'Radian')\n",
      "('PITCH~STAHR_Rocket', 'Radian')\n",
      "('pitch~STAHR_Rocket#J2000', 'Degree')\n",
      "('pitch~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('pitch~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree')\n",
      "('pitch~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('pitch~STAHR_Rocket#N~STAHR_Rocket', 'Degree')\n",
      "('pitch~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('PROP_MASS~STAHR:STAHR_Rocket', 'Kilogram')\n",
      "('quaternion_w~Earth#J2000', nan)\n",
      "('quaternion_w~IB3:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_w~STAHR:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_w~STAHR_Rocket#J2000', nan)\n",
      "('quaternion_w~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('quaternion_x~Earth#J2000', nan)\n",
      "('quaternion_x~IB3:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_x~STAHR:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_x~STAHR_Rocket#J2000', nan)\n",
      "('quaternion_x~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('quaternion_y~Earth#J2000', nan)\n",
      "('quaternion_y~IB3:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_y~STAHR:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_y~STAHR_Rocket#J2000', nan)\n",
      "('quaternion_y~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('quaternion_z~Earth#J2000', nan)\n",
      "('quaternion_z~IB3:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_z~STAHR:STAHR_Rocket#B~STAHR_Rocket', nan)\n",
      "('quaternion_z~STAHR_Rocket#J2000', nan)\n",
      "('quaternion_z~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('radius_apoapsis~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('radius_periapsis~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('radius~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('reynolds_number~STAHR_Rocket', nan)\n",
      "('right_ascension~STAHR_Rocket#J2000@Earth', 'Degree')\n",
      "('right_ascension~STAHR_Rocket#TOD~Earth@Earth', 'Degree')\n",
      "('roll_rate~STAHR_Rocket#J2000', 'Degree/Second')\n",
      "('roll_rate~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('roll_rate~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('ROLL~Esrange#L~Esrange:Earth', 'Radian')\n",
      "('ROLL~STAHR_Rocket', 'Radian')\n",
      "('roll~STAHR_Rocket#J2000', 'Degree')\n",
      "('roll~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('roll~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree')\n",
      "('roll~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('roll~STAHR_Rocket#N~STAHR_Rocket', 'Degree')\n",
      "('roll~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('R~STAHR_Rocket', 'Meter')\n",
      "('semimajor~STAHR_Rocket@Earth', 'Kilo-Meter')\n",
      "('sideslip_rate~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('sideslip~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree')\n",
      "('side_force~STAHR_Rocket', 'Kilo-Newton')\n",
      "('SIDE_SLIP_ANGLE~Esrange#A~Esrange:Earth', 'Radian')\n",
      "('SIDE_SLIP_ANGLE~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Radian')\n",
      "('solar_beta_angle~STAHR_Rocket#PF~STAHR_Rocket:Earth', 'Degree')\n",
      "('sonic_velocity~STAHR_Rocket', 'Meter/Second')\n",
      "('static_stability_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Meter')\n",
      "('thrust_to_ew~STAHR_Rocket', nan)\n",
      "('thrust_vacuum~IB3:STAHR_Rocket', 'Kilo-Newton')\n",
      "('thrust_x~STAHR_Rocket#J2000', 'Kilo-Newton')\n",
      "('thrust_y~STAHR_Rocket#J2000', 'Kilo-Newton')\n",
      "('thrust_z~STAHR_Rocket#J2000', 'Kilo-Newton')\n",
      "('thrust~IB3:STAHR_Rocket', 'Kilo-Newton')\n",
      "('thrust~STAHR_Rocket', 'Kilo-Newton')\n",
      "('Time', 'Second')\n",
      "('torque_x~IB3:STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton*Meter')\n",
      "('torque_x~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('torque_y~IB3:STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton*Meter')\n",
      "('torque_y~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('torque_z~IB3:STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket', 'Newton*Meter')\n",
      "('torque_z~STAHR_Rocket#B~STAHR_Rocket', 'Newton*Meter')\n",
      "('total_angle_of_attack_slope_normal_coefficient~STAHR_Rocket#TA~STAHR_Rocket@STAHR_Rocket', 'None/Degree')\n",
      "('total_angle_of_attack~STAHR_Rocket#A~STAHR_Rocket:Earth', 'Degree')\n",
      "('total_lift~STAHR_Rocket', 'Kilo-Newton')\n",
      "('total_solar_irradiance_at_earth~STAHR_Rocket', 'Watt/Meter**2')\n",
      "('TRAJ_SMOOTHNESS~STAHR_Rocket', 'Radian^2/Second')\n",
      "('true_anomaly~STAHR_Rocket@Earth', 'Degree')\n",
      "('u_length~STAHR_Rocket#LO~STAHR_Rocket:Earth', nan)\n",
      "('u_length~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('u_n~STAHR_Rocket#LO~STAHR_Rocket:Earth', nan)\n",
      "('u_r~STAHR_Rocket#LO~STAHR_Rocket:Earth', nan)\n",
      "('u_t~STAHR_Rocket#LO~STAHR_Rocket:Earth', nan)\n",
      "('u_x~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('u_y~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('u_z~STAHR_Rocket#L~STAHR_Rocket:Earth', nan)\n",
      "('velocity_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('velocity_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('velocity_rel_apoapsis~STAHR_Rocket@Earth', 'Kilo-Meter/Second')\n",
      "('velocity_rel_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('velocity_rel_periapsis~STAHR_Rocket@Earth', 'Kilo-Meter/Second')\n",
      "('velocity_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter/Second')\n",
      "('VI_EAST~STAHR_Rocket', 'Meter/Second')\n",
      "('VI_NORTH~STAHR_Rocket', 'Meter/Second')\n",
      "('VI_RADIAL~STAHR_Rocket', 'Meter/Second')\n",
      "('vload_lift~STAHR_Rocket', nan)\n",
      "('vx~STAHR_Rocket#J2000@Earth', 'Kilo-Meter/Second')\n",
      "('vx~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter/Second')\n",
      "('vy~STAHR_Rocket#J2000@Earth', 'Kilo-Meter/Second')\n",
      "('vy~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter/Second')\n",
      "('vz~STAHR_Rocket#J2000@Earth', 'Kilo-Meter/Second')\n",
      "('vz~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter/Second')\n",
      "('wind_gust_p~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Degree/Second')\n",
      "('wind_gust_q~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Degree/Second')\n",
      "('wind_gust_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Degree/Second')\n",
      "('wind_velocity_east~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second')\n",
      "('wind_velocity_north~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second')\n",
      "('wind_velocity_r~STAHR_Rocket#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Meter/Second')\n",
      "('x_offset_CoM~Esrange', 'Meter')\n",
      "('x_offset_CoM~Main_Stage:STAHR_Rocket', 'Meter')\n",
      "('x_offset_CoM~STAHR_Rocket', 'Meter')\n",
      "('x_offset_CoP~STAHR_Rocket', 'Meter')\n",
      "('x_offset~IB3:STAHR_Rocket', 'Meter')\n",
      "('x_offset~STAHR:STAHR_Rocket', 'Meter')\n",
      "('x~Earth#J2000@SSB', 'Kilo-Meter')\n",
      "('x~STAHR_Rocket#J2000@Earth', 'Kilo-Meter')\n",
      "('x~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter')\n",
      "('x~Sun#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter')\n",
      "('yaw_rate~STAHR_Rocket#J2000', 'Degree/Second')\n",
      "('yaw_rate~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('yaw_rate~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree/Second')\n",
      "('YAW~Esrange#L~Esrange:Earth', 'Radian')\n",
      "('YAW~STAHR_Rocket', 'Radian')\n",
      "('yaw~STAHR_Rocket#J2000', 'Degree')\n",
      "('yaw~STAHR_Rocket#LD~STAHR_Rocket:Earth', 'Degree')\n",
      "('yaw~STAHR_Rocket#LO~STAHR_Rocket:Earth', 'Degree')\n",
      "('yaw~STAHR_Rocket#L~STAHR_Rocket:Earth', 'Degree')\n",
      "('yaw~STAHR_Rocket#N~STAHR_Rocket', 'Degree')\n",
      "('yaw~STAHR_Rocket#TOD~Earth', 'Degree')\n",
      "('y_offset_CoM~Esrange', 'Meter')\n",
      "('y_offset_CoM~Main_Stage:STAHR_Rocket', 'Meter')\n",
      "('y_offset_CoM~STAHR_Rocket', 'Meter')\n",
      "('y_offset_CoP~STAHR_Rocket', 'Meter')\n",
      "('y_offset~IB3:STAHR_Rocket', 'Meter')\n",
      "('y_offset~STAHR:STAHR_Rocket', 'Meter')\n",
      "('y~Earth#J2000@SSB', 'Kilo-Meter')\n",
      "('y~STAHR_Rocket#J2000@Earth', 'Kilo-Meter')\n",
      "('y~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter')\n",
      "('y~Sun#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter')\n",
      "('z_offset_CoM~Esrange', 'Meter')\n",
      "('z_offset_CoM~Main_Stage:STAHR_Rocket', 'Meter')\n",
      "('z_offset_CoM~STAHR_Rocket', 'Meter')\n",
      "('z_offset_CoP~STAHR_Rocket', 'Meter')\n",
      "('z_offset~IB3:STAHR_Rocket', 'Meter')\n",
      "('z_offset~STAHR:STAHR_Rocket', 'Meter')\n",
      "('z~Earth#J2000@SSB', 'Kilo-Meter')\n",
      "('z~STAHR_Rocket#J2000@Earth', 'Kilo-Meter')\n",
      "('z~STAHR_Rocket#TOD~Earth@Earth', 'Kilo-Meter')\n",
      "('z~Sun#L~STAHR_Rocket:Earth@STAHR_Rocket', 'Kilo-Meter')\n",
      "('z~Sun#L~STAHR_Rocket:Earth@STAHR_Rocket.1', 'Kilo-Meter')\n"
     ]
    }
   ],
   "source": [
    "print('\\n'.join(map(str, zip(df.columns.values, df.loc[1]))))\n",
    "\n",
    "df = df.drop([0, 1], axis=0)\n",
    "df = df.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jX8c7zB0SOAJzzpQybLjhXFxwehVC0Rhu/tMH+P7zH1HAqwrsSQicUytHnzRPT+y2P6TFBgCwuzm+eLDd8kjkuRyYWBoPNN7bQqeyM8sXcPI+xxZqJsKtDrN8jWYxBJJ9ck9zLx2EDODD40nLl20Uy5fdJmFalZjWLxI4glPoceJ/lp+BGz93KgDg4dcOYu2fPxDOlMgTkWgM+9rii+7JJs1TKwshSUBHf0joU3fVgu2OT9ZuADC1ogBAUkxaGdYGE0ryRgwwZpxaGW83EoZxMrV8TSzJQ57LjmAkJpwlQgvYWM2knhJzU30kmKWaBI4JkCQJ31g8FT/54mzYJOCpt47iv/78AVlysuRQxwBCkRjyXHaMLz6xjksqXpcdtcVx8+7eVlpwmLtgxkkWGwBKgPbHLSRwditWiJO329SEhWdfa5/l62KlWr6mncTyZbNJSp/7qIn63L7EfHUyiyEAzEyMZ7LgEIZx6YJa3PvlebBJwNNvH8U9/9hr9C0JCVtwp1YWjmq6ZUxJWCKsLnBiMRn72zKfNNlCTQIn6dqbfhLXHhC3RLjs8ZiI493WLk+QavkaLeaLcWoiy2q/xccqABxoj7fBKeX5J712SqLdDrSLZfkigWMy/s/sGtyx7HQAwM837cWfth8z+I7Eg02a0xKugJPBXC37LL5QNwWGEIzE4LRLJ7V8Ackd996WPstbG/cqu+mT9zmH3YbJiUVpb6u1+xxbcNkm42ScUhFvNybErcpQOKpUJj4lg7Zj7Xa0c0CoQokkcEzI8vqJWP0vUwAA//3sB8rukMiMg4lJ85TyzCZNsuDEOdgWb7cJJXkZna4+qSwfdpuE3mAEzQFrZ1IdSvS5yWUZimrF+mXxPpdot0llJ7dCAMn23d8mliVCbQ6290OWAZ/HgdJ810mvLy9wo9DjQEwGDncM6HCH6kACx6Ss+dyp+PSp5RgKx/D1J97BQIiKAWbK4UQAYl2GkyZbbCwvcBIm70kZLtIuhw21CUvPoXZxJk216eoPoWsgXrSvriyzQ3WZ1dDqgcaHxihwmLXiYLu145cOJATeKRUFGR2gKUkSJpczcShOnyOBY1JsNgn3XDYX1UUeHGjvx09f/NjoWxICWZaVXWFdaYaTZsJd0NYbRJ+Fq0qzXfHkDHz6DJYqftjCWS0HE89e5fMgz3XyOBIguaAf6bRuuwFJC87kDAVObbEXTruEoXAMjT3WjV9iIiVTK3X82ngbHyCBQ/BASb4L6/9tFgDg0dcPUrXjDOgaCCMwFBcpE0sz200XepwoSZh5Lb1Qj3E3DcTPCALimWtWhbn2xtZu8Wut3G7haAxHOuPPPylDUe2w2xRRfcDCbiomUsayGTmlXDz3Hgkck3PetAr82xnjIMvAf1F9nJPCFumaIg88zhNP1x0JVgn0aKd1F5xsBA5ZcKDUZMl0kQaACQlh2NYbtOxZdMe6BhGJyfA67agsHP68uOFglgiRXC1qw0QKWXAI4bn1opnweRzY3dxLWVUngS20EzN0TzGYtUekADw1CUaiONYVf/ZM3QVAMubEypaIA2N0swBAkTfVamjNtmMxXxNL8zIq58Bg1q8jFt2MyLKsiJRMUsQZE0oSmVRd4rj2SOBYgOJ8F765eCoA4K4X91DA8SiwoMVMA4wZExMWnMMWnTSPdg4gJgP5LjvKC90Zfy/VgmPVVPFsXFRAqqi2pvXrYCIwfSxuFgAYb3Fra1tfEP2hKCQpKVoyobYknhDQ2R9CryAn2ZPAsQj/sXAiaku8aO0N4jdvHDL6drjlYGI3XJdh/A1jAtsVWnQ3zeIZJpXnZ5SVwRhf7IVNAgZCUbRZ8KgLWZYVF9VYRbXV43CSWXtja7ekO1kcS4SasPo31T4PXI7MJUBqrKEobUcCxyK4HXZ8qyF+XtUj/zyIwZA4xZr0JFsLzgTFgmPN3bSySI/Rted22FHjj+8Mrehq6ewPYSCxm86kOGIqVrfgHFY2I2Prc6w0wZHOAUtaDZnlavwoJ4iPRG3iO6K490jgWIgvzKnB+GIvOvpDePqtI0bfDnek7qazdRc0dg8hbMGTitmusDaLSZO19UHBysCrAWu3ykIP3I7Mg9qBVAuO9doNyL7PjSv2QpKAwXAUHf0hLW6Na5R2K85C4CTEoSjuPRI4FsJht+Gaz5wCAHjonwcpo+oTdA2E0ZtIEZ8wxkmzotANj9OGaEzGcYGC8NSCPfNYrRCAtS0Rx1RpNzEWGzWJpYyzcf6xtZ3bYUe1L551JYolQk0UC04WfU5x73WJ0W4kcCzGF+ePR3GeE8e7B/Hy7lajb4cr2IRZXugeU4o4EK/0OcHCgcbHslxsAGBiCQs0tmK7Zb/YjE/swFsC1rMatvcFEYrGYLdJqC7KPEWcYeVAYyZOsrG2TiAXFcEzHqcdly6oBQA8ufWwwXfDF8e744M2m0UaSGYkHLGYJUKWZeVU6/FZmL3Z4t5owZOxkxacsbdbWYELbocNMRlo7rHWWV4sVbnK58no3LNPYuW6VSxAuDYHCw4JHIJbvnzmBADA5o/bLDnAR+J4d3yRyFbgMJeBKINfLXoGw8oRFdlYIliQ8XFLCpzsLTiSJCl99ZjF3KKs3cZl0W5AMv5ElGwgtYjGZGUjkY0Fh33nWOegEGd5kcCxIJPK8rFoShlkGfjTO1T4j6H49LOcNNlC3Wix3TRbXMsKXGN27QHJdmvtDSIUsZarJRcLDmBdcZhL7BIATChNZlJZiebAECIxGU67hErf2F171UUeOGwSQtEYWnv5L+tAAsei/Ou8cQCA595rtGSq5HDk6qIa549PGFZztSjxN1ku0mUFLrgcNshyPJ7EKsiynPNCzfqq1QLbc3GJAuIFy6oFs9jX+L2wj6H6M8NhtymiWoS2I4FjUc4/rRJuhw0H2vrxYWPA6NvhgsaEi6omS4FTXRT/XlO3dRZpIGWxybLdUl0tVrJEdPaHMBiO16Oq9o99Nw0krY1MnFsFRRhm2efYGG/uGbJUNikTONmkiDNYULcIGzkSOBal0OPEZ6dXAAD++l6jwXfDB2xxzdaCwybNll5rZbXkEkfCqEks8FayRCg1cHzuMdfAYVhRGAK597mKQg/sNgmRmIx2C1XQTlq+chmriY2cAK54XQTO/fffj7q6Ong8HtTX12Pbtm0jXnveeedBkqQTXhdddJFyzRVXXHHC50uXLtXjUUzFF+bUAACef7/J8m6qwVAUnYmiX9nG4JTmu+Cyx10tVspqyTV2CQBqiqyXSZVr/A2QbPNGC1kNZVlOqbuUXdvZbRIqE2emWanPsXmJWZuzgVlwmgRoN80FztNPP401a9bgtttuwzvvvIM5c+ZgyZIlaG0dvgbLn//8ZzQ1NSmvnTt3wm6349JLL027bunSpWnX/e53v9P6UUzHedMq4HbYcLx7EHtaeo2+HUNhO5sCtwM+jyOr37DZJMXVIMLuRi1yjSMBUhbqHv4nTbVQMoGytBimfvd4txhZLWrQ3hdCMBKDTQKqsqiBw6gWyBKhFk2KwMm93URIptBc4Nx9991YtWoVVq5ciZkzZ+LBBx9EXl4eHn300WGvLykpQVVVlfLauHEj8vLyThA4brc77bri4mKtH8V0eF12LJpSBgDYtMvaRf9S3VNjOSzyk1jREpFsu+wtEclsIP4nTbVQFpss42+A+AJvk4BQJIb2fmu4Wpp6kgU5x3JY5CcRKZZELZgFJxdhWMMsOAJsRjQVOKFQCNu3b0dDQ0PyD9psaGhowJYtWzL6jUceeQSXX3458vPTzwbavHkzKioqMG3aNFx77bXo6OgY8TeCwSACgUDai4izeEYlAGDjRy0G34mxsEkuFzcLkFysrGKJ6A9G0DMYBpCMo8mGZDaQdYJlWcZYdRbpugyn3aak+1olfqlJWaRzG6sixZKoBRMlOVlwBEqm0FTgtLe3IxqNorKyMu39yspKNDc3n/T727Ztw86dO3HVVVelvb906VI8/vjj2LRpE370ox/hlVdewQUXXIBodPgTstevX4+ioiLlVVtbm/1DmYzFM+KBxu8d60abAHUNtIItDrks0kByobbKrrA5sUgXuB0o9Diz/p1kuw1ZJh6MtV0uu2nAegs1E4ZVPndOv1MtkCVCDfqDEQQSZ+3lZMFJzJEd/SEMhYdfc3mB6yyqRx55BLNmzcKZZ56Z9v7ll1+OL3zhC5g1axaWLVuG559/Hm+99RY2b9487O+sXbsWPT09yuvo0aM63L0YVPo8mDWuCLIMvPJxm9G3YxhMkGSbIs4QaXejBi2JRbUyx8WGTbiD4Si6B8I535cIJNsuN4FTlfi+VQLbFTdLju2WdFFZpN1U2owUeZ3wJgp68i6qNRU4ZWVlsNvtaGlJd3+0tLSgqqpq1O/29/fjqaeewpVXXnnSvzN58mSUlZVh3759w37udrvh8/nSXkSSc6fG43De2Ndu8J0YBxv8uZhugZR0Z4tZcHK1QnicdpQVxEWSFdouGpOVSrC5th0TSFYpksgETmWO7aZsRixiwVEj/gaI161Skik4H6uaChyXy4X58+dj06ZNynuxWAybNm3CwoULR/3uH/7wBwSDQXzlK1856d85duwYOjo6UF1dnfM9WxEWaPzavnbLuAc+CVscct1NW81d0KxSuwFAVVFc4Fhhoe7oCyISk2GTgPKCXK1f8e83W6DdAPU2I2yRbu0NWqJulRoZVAwlmYLzeU5zF9WaNWvw0EMP4bHHHsOuXbtw7bXXor+/HytXrgQArFixAmvXrj3he4888giWLVuG0tLStPf7+vrw7W9/G2+++SYOHTqETZs24eKLL8aUKVOwZMkSrR/HlJwxsRhuhw2tvUHsb+sz+nYMoSUQ302rJXBSD6A0M80qTppViiXC/LFgbJEuL3RndRp2KpVWc1GpJKrL8t1w2iXIMoQ4VylXmnuSJ7Dniii1cLIr+DEGLrvsMrS1tWHdunVobm7G3LlzsWHDBiXw+MiRI7DZ0gf4nj178Nprr+HFF1884ffsdjvef/99PPbYY+ju7kZNTQ3OP/983HHHHXC7c9sJWRWP045P1ZXgtX3teG1vO6ZUFBp9S7rSF4woYiTXwV/gdqDQ7UBvMIKWwBAKygvUuEVuUSseAgAq2EJtAUuEmu1WZSEXlSzLqrWdzSahqsiDo52DaOoezKkekQioacERpRaO5gIHAFavXo3Vq1cP+9lwgcHTpk0b0VXi9XrxwgsvqHl7BIBzppThtX3teH1/B644Z5LRt6MrbGEodDuQ7859SFT43OhtiwucU0wucNRy7QHJBavVAgu1qu1WlBSGsiznVMeJd3qDEQyE4pk7ucaSAPE4nKOdg9wv1GrQrFJ6PZAUSbyLaq6zqAj9OGdK3BX45v4OSx0+BySzWSpyzARiVCoLtQXM3ko8RO6TJsvE4n3SVAO1grOBZH8bCscQGDS3W5SNVZ/HgTxX7puRSguJajUtOGystvby3W4kcAgAwGk1RYprZXeztQohtvSqt9gAQEWhGIM/VyLRmFI7qbIod3GYdFGZXxg2qZQiDsRdzP68eNqv2d17agpDIHWsmr/Pqdl2FYVibOJI4BAA4ofPnTExftzFWwc7Db4bfWnuUSfAmFFpkWDZtr4gYjLgsEkoy89d4FjRRaVGDE7q75hd4KgpDOO/kxA4Jm+3oXDyMGE1LDjM2t3eF+Ta4k8Ch1D4VF1C4BzuMvhO9EXNeAggaYkwu6uF+fQrCt2w2XKP+2Dt39EfQihi7rRdNbPPgJQ+Z/JYkha1241ZIkxuwWGWFo/ThiJv9kX+GKX5btgkICbHSx7wCgkcQmFBXQkA4O1DnZaqh6P2bjq5K+R34KtBi8ruguI8J1yJlGmzu/eUsgQqtR07tsDsFpxmlccqc1GZfTPSlJIirkYQut0moVxpO37nORI4hMLcWj+cdgktgSCOdvJd30BN1CxWl/o7LSZfpNWqjMqQJEkxffM8aeaKmmUJGFZxUalVxZjBLF9mt+C09KrrhgdSrV/89jkSOISCx2nHrHFFAIC3DlknDket85QYlYVJF5WZLWHNKhVHTMUKWS1skVarLAGQXPDN7qJSq4oxgwnq3qEIBkN8HxyZCywZoEJVgcP/ZoQEDpHGpxJuKqsInJiKZwIx2KQ5FI4pp/eaEWXSLFRv0rSCJUJtKwRgjXYD1I+XK3Q74HGa3y3Kni3XY0FSSVq/+G03EjhEGgssJnA6+kOIxGRIKpwJxPA47Uogn5ktEW2J4ELmi1cDK7io1I4jAayRuReOxtCRyARSS1RLkpS0GprYTcU2I6qOVbLgEKJxxgQ/AGB/Wz8CQ2Fjb0YH2I6wND/3M4FSqbTAQq3FpGmFVHG241WrsCSQXGw6+/lO282Fzv4QZDke4FqS71Ltd5VaOBYYqxUqjlUmDNvIgkOIQmmBWzmTZeexHoPvRnva+9Qf+EDqjprfwZ8risBR0exdaQFXS3tv3AqhpjAsyXdBSqTtsnonZoP1t9J8F+wqlCVgVBRaaKxqYMHh2fJFAoc4gTm18UDj9ywgcLQY+EDKpMnx7iYXojEZnf3qtx37rTaOJ81cUVx7KgpDh92G0oRVw6xtp9lY9fG/UOdKqxJkrP5mhGdhSAKHOIHZ4/0AgPePdRt6H3rQ3hff7ZapuNgA5q+F09Efr2Jsk6Cqu4AtXu0cFw/LFWbSV3uhZn3YrG2n9WbErG7RcDSmWPXUDTJm/S3ErVuUBA5xArPHxy0475MFJ2vMfh6V4i4ocKvqLmCLdNdAGOGoOasZM1Gt5mIDmN/6pYXlCxDD1ZILTPA6bBKK89TbjJQm3KLRmIyOfj7bjgQOcQKzxhVBkoDj3YOm3Q0y2KRZVqDewAeAMmaJ6DV3PITai43f61QEU0efydtOZVHN/i3aTDpmtWq3SgHSnXOBtVtZgTpHqjAcdpuyIeHVUk0ChziBQo8Tk8vyAZjfTdWu0aRJ7oLssNkkRWyase2CkSh6BuPZiWq7RU1vwdE4BsesGY9MfKjdbgD/lmoSOMSwnFYTd1Ptauo1+E60RSuzd5nZd9Ma1MBhKG1nwoWaWaWcdkmVQw9TIYGTHWyR7hkMYyhsvmrGbRpligKplcf57HMkcIhhmV5dCADY02xugdOu0ULNBFPvUMSck6ZGi03qb5pRHGrlLgAsIHA02owUeZ1wOeJLoRnbTksLDvu34DV+iQQOMSzTq+ICZ3dzwOA70Y5QJIbuAW3cBT6vQzkZu8OEdUm0isEBzO3ea+9LChy1oRic7JAkSWk7M/a5tr5EYUktrK2FcXdyB6ftRgKHGJZpVT4AwIG2foQi5sxmYZH/WrgLJElCaYF565JoacExs4tKD8uXGRfpgVDyBHZt+hyL+zLfZkRLC05yM8Jnu5HAIYalpsiDQo8DkZiM/W19Rt+OJmjpLmC/CyQDmc2EljE4yYWaz0kzF7S0fLF26x4IIxgxl1uUZSN6nDYUqHQCeyqliX8PXi0RuaDlWC3l3PJFAocYFkmSMK3S3HE4qQJHC8ycDaRl25Upli8+MzNyQXFRFapblgCIx5I47eZMsU9dpCVJi82Iecdq0oKj3uGuDN7bjQQOMSIs0HiXSeNwtAowZpjVZTAUjqJ3SDt3QTnnZu9c0CpQFohvSszq3tPS8gWkWiLM1edkWdY0i4r1N17jDEngECMytSIucA609Rt8J9qQtEKov5uO/645J03Wbi6HDT6P+u4CswpDIPWgTfV30/HfNanA0XgzYtbA9sBQRImh1DIGp5vTyuMkcIgRmZQo9new3ZwCRymZr/GkabasllQrhDbuguSkabYAd60qZzPMmkmlZXA2kPz3MJtrjwm2ArcDHqdd9d/nvfI4CRxiRJjAOdzRz+1harmgeQyOclwDLTZjIS2WhNMzbrJF67YzrQVHcVFpY/kyqwWHHbJZqpGgttkk5bBdHtuOBA4xIjV+L1wOG8JRGce7Bo2+HdXR3uzN78DPBa0XaZtNQmm++RbqwVBU01Tn1N+lPjc2eI8lyRaWFVaar43AAfgWhyRwiBGx2yTUleYBAA60my9VvF1jC45Zg2W1XmyAZJYRj5NmtrBncTu0SXUGzGvBYW2nlSWC/W7XQAgRDmNJsoXNPaUazXEA3+49EjjEqJg5DkevXWHPoLliSZJxJNpNmoo4NNFp7K0p/U2L2CXAvEUSmatSqz5XnOeCTQJkOenWMQNMdGgV8xX/bbLgEIIyqawAgPkEzlA4it6Eu0CrSbPI64TDZr5Ykg4lyFj7SdNMwbJaHtPAYK4IMy3SQHKh1srVYk+LJTFP27F5p0RDF1UpxeAQojLZpBYcrVOdgUQsCYvDMZElgi2eJflauqjMZ4nQw7VXasK4r8FQFAOheGVmrVxUAN+WiGxhMUWlOoxVy7qo7r//ftTV1cHj8aC+vh7btm0b8drf/OY3kCQp7eXxpEfOy7KMdevWobq6Gl6vFw0NDdi7d6/Wj2FJ6hIC51CHuQROu8apzoykJcI8VXk7NM7MAMyZ7qyPBSf+26n1T0SHWSFcGsYuAcn+bEZrqx7CkMexqrnAefrpp7FmzRrcdttteOeddzBnzhwsWbIEra2tI37H5/OhqalJeR0+fDjt8x//+Me499578eCDD2Lr1q3Iz8/HkiVLMDRknkWEF2pLvACApu4hUwXf6eGbBlKyWkxkwdHaXQCYM8Vejz5XlFKXpGvAHH1OSXXOd+myGTHjWNVUVFs5yPjuu+/GqlWrsHLlSsycORMPPvgg8vLy8Oijj474HUmSUFVVpbwqKyuVz2RZxj333IPvfOc7uPjiizF79mw8/vjjaGxsxLPPPqv141iOikIPnHYJkZiMFhMtNkk3i7YCh+fdTTaEozH0DIYBaNt2Zkyx16PP2WwSivP4XXCyQRHUGm9GmPWr3UwWHB36XDnHrj1NBU4oFML27dvR0NCQ/IM2GxoaGrBly5YRv9fX14eJEyeitrYWF198MT788EPls4MHD6K5uTntN4uKilBfXz/ibwaDQQQCgbQXkRl2m4Qaf9yKc6xzwOC7UY92JfhOu50NYD6/PrMK2CTAn6dl4GK83cwULKtHwCeQtKyZxdXCxo7mY7XQXPFy0ZisjFctxWHStRdCjLOCsJoKnPb2dkSj0TQLDABUVlaiubl52O9MmzYNjz76KP7yl7/giSeeQCwWw9lnn41jx44BgPK9sfzm+vXrUVRUpLxqa2tzfTRLMS4hcI53m6fYX6dOu8KkJcIckybbTRfnuRRXiBYwEdA9GDZNFe1OHQI+gWSfNos4ZM9RppO11SzCsGsgBDkxdEp02IxEY7Ji3eUF7rKoFi5ciBUrVmDu3Ln4zGc+gz//+c8oLy/HL3/5y6x/c+3atejp6VFeR48eVfGOzc/44oQFx0TVjPV2UXWYxIKjV7sV5zkBxOuSmC2WROu2M1u6sx5B7YD53KLJzYgTDrt2S31qJipvbaepwCkrK4PdbkdLS0va+y0tLaiqqsroN5xOJ+bNm4d9+/YBgPK9sfym2+2Gz+dLexGZM744Xs34WJd5XFR6+KZTf98su2m92s1ht8GfEDlmaLtYTEbXQHx3q/1Czdx7fC022aKbi6qA33TnbOjo08clCqQkBXDWdpoKHJfLhfnz52PTpk3Ke7FYDJs2bcLChQsz+o1oNIoPPvgA1dXVAIBJkyahqqoq7TcDgQC2bt2a8W8SY8PMFhwtM4GA5ORiljNuOnRIdWYobcfZpJkNPSmutmIN3QWAudoN0P7ASEZpisCRZfHdoknLl/ZjlddYQ+2KCiRYs2YNvvrVr2LBggU488wzcc8996C/vx8rV64EAKxYsQLjxo3D+vXrAQC33347zjrrLEyZMgXd3d34yU9+gsOHD+Oqq64CEM+wuuGGG/D9738fU6dOxaRJk3DrrbeipqYGy5Yt0/pxLEnSgmM+gaN5wCc746Y/PmlqmeaqB3q1GxAXnwfa+k1hwWGLjc/jgMuhbWRAatCnGdCjLEHq74eiMQSGIijyOjX9e1qT3IzoYMHh1L2nucC57LLL0NbWhnXr1qG5uRlz587Fhg0blCDhI0eOwGZLDviuri6sWrUKzc3NKC4uxvz58/HGG29g5syZyjU33XQT+vv7cfXVV6O7uxuLFi3Chg0bTigISKgDs+A09QwiGpM1DS7VCxZIqHXAJ9utR2KyOSZNHQVO0r3H16SZDZ067qZZnzZb3JfWbedx2lHodqA3GEF7X9A0Y1XrOQ7g172nucABgNWrV2P16tXDfrZ58+a0//7Zz36Gn/3sZ6P+niRJuP3223H77berdYvEKFT6PHDYJISjMlp7h1Bd5DX6lnJiIBTBUDhetLBE492Nx2lHvsuO/lAUnf0h8SdNHXeFLObCDJaITp1SxAFzZVHJspw8SVynWJLeYAQdfSGcUq75n9OUdp0yRYGUGkKciWrusqgI/rDbJFQkgsiae8SvFs12GS6HDfkuu+Z/r6TAfJYIrQM+AXMdHMkWG71cewB/u+ls6A9FEUwcOaHPQs2nqyUbOvv1E4a8ukVJ4BAZUVkUd/+1BEwgcFLqaugRE1OiFK3jq0ZENhjhouJt0swGvYLa438j3t96gxEEI1HN/56WsHpVXqcdeS7tHQ5mynpMVoDWLyGgi7N2I4FDZESVLy5wzGDBUdwFOuwIgVRLhPi7Qr3O8AJSXC0msEToGZzt8zrgSMTJib5Qs4rjelhvAH4X6mzo0FFU8yoMSeAQGVHJBE7APIu0Hm6W+N8xhyVCr3OoGLxOmtmgp+VLkiTTpIp36pRBxTDLWAWSbjY9LTidnBXlJIFDZESViVxUeroLUv+O6JYIVlFY0vgcKoaZFptOnS0RSk0XwdtOyXbUYZEGUiw4nC3UYyUUiaF3KAJAXwtO90AYkWhM87+XKSRwiIwwl4tKv900ABSbxBKhWL40PoeKwWJJugb4O8RvrCRrueizUJvFLapncHbq3xF9rLL7t9skXTI3/Sl/o5uj86hI4BAZwVxUZrDg6OkuSP07vJlvx4r+wjA+aUZjMgJD/Eya2aB32ylZLYJbDfWqYswwy2akPeWYBpsOmxFej1YhgUNkRKUvkSYeGBK+jLlhLiqOBn426C0M3Y544bXUvy0isiwrLg+9g2V5OxtorCh1l3S3fAnebjrPcUDyxHKe2o4EDpERLAZnIBRFbzBi8N3khlEWHNF303qeQ8UoMUHRusBQBOFofFOgV58zy4Gbeo/V4pRFWuSNnN4xXwCf7j0SOERG5LkcKPTEd9Mtgsfh6B7wqdTB4WfgZ4PebpbUvyWyOGTCsMDtgNuhfWFJwBztBqTWctF3MxKMxDAQEreGkN4xXwCf7j0SOETGKIHGgsfh6J0mzmJJBsNRDIo8aRogcMzgMjBCGCrVjAVuN0C/M+MYeS473InDUEXuc3oe08DgcaySwCEyhrmpRM6kGgpHlZ2ZXoO/wO2Ay56YNAUONNbzHCqGGQ7cNEQYKmni4rabLMvoSlT/1qsoZ2oNIZ4W6rGi5zENDLLgEEJjhkwqttg47ZISwKo1aZOmwC4DPc+hYpjhwE29g9pT/1aXwMeD9IeiCCVqqpToUHeJYYasR3YsjJ5jlSw4hNBUKQJH3F1hZ0pdDT3OoWIki9aJ23bkosoOvVOdgWSwbJ/A51Gx4xI8Thu8OhyKyzDDZoRl7RXnaV8Dh8H6HE9FEkngEBnDXBMin7TLBIaeOxsg5VwlgRdqPc+hYpjBXaB3zBcAFHocSjHG7gExrThsodTTegOYo5oxE4fFeiYEcFh7iQQOkTHlhXELjsgCxwh3AZCefioiep9DxeBx0hwrRsRD2GySsnsXtc+x+9bjWJBU2FgV2S2qiEMD6uDwJAxJ4BAZk7Tg8NOBx4oRGS2pf0/UxUbvc6gYZnBRGeHaA1JcBoK2nRGLNJAavyRmu0VjsnJcQrEBsUsdHNUQIoFDZExZYdzE3tYrrgXHqMVG9IWaWVCKdTqHipEqDHmZNMeKIqp1dO0BSfdEl6AuKhYoq6ebJfXviWrB6RkMgw0Vv44xOGyshjiqIUQCh8gYVh21LxjBUJiPDjxWOvuMcVEprhZBJ03jdtPxPheKxtAnaAXtDqP6HHOLcuQyGAvMglKi4yINpMTgCDpWmaAu9DjgtOu3xPNYQ4gEDpExPk+ynouoVhwlyFjn3bToFhyWbqxnVgYAeF12eJ3xDBoR206WZcPcosWCL9RKJpBR7mRBhWG3QZsRHmsIkcAhMkaSJJQn3FSiBhobcQgdIH6QcTLtVN92A9J9+6LRF4wotVz0LJsPQPggY6P6HG+L9Fhh923kWOWl7UjgEGNC9EBjxexNaeJjosvASVNpOwH7HEvR9jrtutZyAcRPd1YWaoMsOD2DYUQS4lQkjKiBwyCBQwgNi8MR1UXFAi5L8vX268fbrWcwjLCQk6YxAZ8Af5PmWEjupvVfbIS3GrJqvDqLar83/m8ly1CykUSCxmoSEjjEmGACR0QXVSSllovetTX8XidY8pGIO2pDd4UCB8uydtO7vwHJxUbUQn+dSgyOvn3OYbcp2Ucixi8lg7P173PFnI1VEjjEmCgrFLeacU/Kbozt0vQiXniNr93NWDAq4DP1b4ooDLsH9C+OyODx8MNMiR+0aUywLJAUByLGfRnl2gNSkik4cSeTwCHGRLnAFhxmuvV5HHDomD7JKOZs8I8FI2NwigXeTSer8Rpn+RJRGPYFI4jE4sVcjAyWFbHPGZkQUMxZBhoJHGJMsGJ/7b18dOCxYKQVAkgN+hTPZWBU7BKQdO+I2G7dhi428X+rgVBUuLpVLP7G67TD49Q3OBsQu9ifkWOVt3IYJHCIMaEEGYtowTHobBuGkrbLye5mLBjZdiLvpjsNFNUFbgccicAv0aw4nQbVcmGIfFyDodZWztqNBA4xJpQgYwGzqJKnE+u/swGSE043J4M/U8LRGHoTVYSNCFxUAj4FW6SBlIwWA/qcJEnCxuEkT8M2aKwKbMExUlSXctZuJHCIMcFicHoFPK4hudgYZMER1EXFAmUlCfDpHJwNiJ0NZKSLCkiJw+kXq+2MLFYHiBu/FI3JSjKFkRYcXmoIkcAhxoTPmzyuQbRAYyNTdoGUYFnBJk12v0Vep64HbTKKUxabWEysAzeNOjCSwSwgovY5o1xUvNVzyRSjDtpk+L1OSEo5DONFtS4C5/7770ddXR08Hg/q6+uxbdu2Ea996KGHcO6556K4uBjFxcVoaGg44forrrgCkiSlvZYuXar1YxCIm71ZNWPRiv0l006NMXv7Bd0VGllXA0hO1DEZ6B0S68DNbgPrBwHiVjM2MhMISDkeRLCMRybIfDoftMlw2G0o8vIjqjVvgaeffhpr1qzBbbfdhnfeeQdz5szBkiVL0NraOuz1mzdvxpe//GW8/PLL2LJlC2pra3H++efj+PHjadctXboUTU1Nyut3v/ud1o9CJChNuKlE292wHYVRFpwSQbOBkpYvYxZpt8OO/MQxB6IFaBu9UItae0mxfBnsTu4Wtb8ZZPkCUt2ixred5gLn7rvvxqpVq7By5UrMnDkTDz74IPLy8vDoo48Oe/2TTz6Jr3/965g7dy6mT5+Ohx9+GLFYDJs2bUq7zu12o6qqSnkVFxdr/ShEAlEDF42Oh1DcBYK1W5eBxeoYIlq/BkNRDIXjcQiGlyYQrc8ZbG1NupMF24wYHLsE8JUUoKnACYVC2L59OxoaGpJ/0GZDQ0MDtmzZktFvDAwMIBwOo6SkJO39zZs3o6KiAtOmTcO1116Ljo6OEX8jGAwiEAikvYjs4a3WQaZ0GpyZIeIiDaQWqzNwVyjgjpr9OzvtkmKB0hv2b9Yp2EJtZCYQkGy3wbBYNYSMjl1K/ds8iENNBU57ezui0SgqKyvT3q+srERzc3NGv3HzzTejpqYmTSQtXboUjz/+ODZt2oQf/ehHeOWVV3DBBRcgGh2+I65fvx5FRUXKq7a2NvuHIoQ1e3cbnEXFTLe9QxGhDtzs5mDSZLvCToGygVLdU5Kkf3A2kLSACGvBMWis+jwOJaBepA2J0a49IEVUc9DnHEbfwGj88Ic/xFNPPYXNmzfD4/Eo719++eXK/581axZmz56NU045BZs3b8bixYtP+J21a9dizZo1yn8HAgESOTlQWsBPB86UWExWTgY2aqH2JTIMZDkutsoTVaF5h02aRsXgACk1hARabLo4WGyKBbUaGh0vJ0kSivOcaO8Loas/jOoiryH3MVaMDmoH+LK2amrBKSsrg91uR0tLS9r7LS0tqKqqGvW7d911F374wx/ixRdfxOzZs0e9dvLkySgrK8O+ffuG/dztdsPn86W9iOwRMYWydyiCaCLF2KiF2m6TlAwDHgZ/pigWHA5cVCL1OaODswExY3BkWebC1eIXUFQbedAmgydrq6YCx+VyYf78+WkBwixgeOHChSN+78c//jHuuOMObNiwAQsWLDjp3zl27Bg6OjpQXV2tyn0To6O4qAQa+GzCzHPZ4XYYEw8BiJlJ1TlgfAyOX8CgTx5ceyKO1QAHmxFAzEBjHoRhCUfCUPMsqjVr1uChhx7CY489hl27duHaa69Ff38/Vq5cCQBYsWIF1q5dq1z/ox/9CLfeeiseffRR1NXVobm5Gc3Nzejr6wMA9PX14dvf/jbefPNNHDp0CJs2bcLFF1+MKVOmYMmSJVo/DgExXVRGp+sykrsbcdqum4MsKp7M3pmSdO0Z325D4RgGQ2IEyzJrU77LmIM2GSK694yuAA2kBrYb326ax+BcdtllaGtrw7p169Dc3Iy5c+diw4YNSuDxkSNHYLMlddYDDzyAUCiEL37xi2m/c9ttt+G73/0u7HY73n//fTz22GPo7u5GTU0Nzj//fNxxxx1wu8WIaRAdZVcoUBGsZH0I43aEgJixJMlJ07i24ylwMVO6OIiHyHPZ4XLYEIrE0DkQwjgX/7EkRmdQMUQcq90Gnn3G4OloFV2CjFevXo3Vq1cP+9nmzZvT/vvQoUOj/pbX68ULL7yg0p0R2cDSxHuDEYQiMbgc/J/4wUPAJyDeeVTRmIzAkLHHDQDJCZuHSTNTeHBRsWDZlkAQXf0hjPPzL3CSNXAMtrbm8xNLkilGn8IOJMcqD5sR/lcmgjuKvE7YlPNGjO/EmcCLi0q086jSzrYx4KBNhoixJJ0GZwIxRCvrYHQGFUM0C07aQZtGCpzE3w4MhZVYKqMggUOMGZtNEnDSNN5dAKQU+xOk3VLPtnEYcLYNI7V0viyLceAmDym7gHjnUSVr4BjtTqbNSDawvy3LUASXUZDAIbJCtLRdXnaFPFX5zIRuTuIhWGZGOCqjX5BgWR5SdlP/vjCimpM+VyxYxiMvmxGH3Qafx5F2T0ZBAofICtHOo+IhHgIQb1fIQ1YGAHhddrgTsV6iLNRGV85mlCjuPTEWaqOrGDNEO3CThxRxBi9tRwKHyArRzqNKnqfEiYtKkEmTh6wMhkiullAkhr5gBAA/C7UowpAbyxdHwbKZ0MVJuwH8xH2RwCGygi02HYIMfm520xylUGYCL+4CQKxUcbZztUlAocfYE3GUhVoAYQjwkxDA+ltgKIKIAGfH8dJu8XvgI+uRBA6RFaKVgOfFfOvPSx7VEDM4wyATaNLMjtSYL5vNmIM2GeKNVZYJZLC1NSVQ1+hg2Uzg4aBNhhLCQC4qQkRECjKWZVmpg2O4i8obb7eYDKW+DM/wUpMESK0hxH+f4yVrL34PYgXL8tLnUoNlRWi75CaOpz5HAocQEJEEzkAoilDCxGz07sblsKHQLdKkyYcwBFICtAXoc12cBGen3oMI7RaLpRy0yUPbcRIsmwk8xeDwYjU01jlMCItIAofdo8thQ57LuLNtGP58J3qDEXT2hzCpLN/o2xkVXjJaUu9BLGFofLsxV09nooaQJBnrMhuNwFAYzHPLQ9v581w43DEgxDzHkzt5yWmVOKW8AJPLjZ3fSOAQWSFSkHFqJhAPk3txngtHOwfF2BVycJI4g6dD/E4Gj+6CUCSGwXAUeS5+p30mJArcDi6OgBEp7ouXkg4AMKWiEFMqCo2+DXJREdmRmrLLe2VZnnY2gFgxETycJM5glgghhCFHiw07cBPg3+LKS4Axg5dYkkzgaazyAgkcIivYwI/GZAQGIwbfzejwJ3DEiCVJjYfgKlhWgMMPeXJRSZKkuPd4t0TwJAwBsTYjnRxZDXmBBA6RFR6nHfmJeJaO/qDBdzM6yeA7Pga+KMX+eociXMVDiLWb5mux8QtStI4nlyiQ6qLiu90i0ZiSys5L2/EACRwia5Jpu3zvbro4KfLHEOU8KrYj5CUeQqRKxp2cLdSitB1PlbMBwC9Iu/Fy0CZvGD9rEcLCSyrgySAXVXYkd9N8TJjsPobCMQxyfuAmL5WzGaKkivM7VvnejLDNUpHXaehBm7xBLUFkjSguA55quQDiuKh4KbjGKHA74EhUBea97Tr7+XJRMfcs71ZD3saqOHMcP7FyPEECh8gacczefC3UopxHxVOgLBAPlhWhmnE0JitVqnlpO1EW6m7uLDhiuJPZZoSX/sYLJHCIrEmeGMv34OepPgSQEvDJ+WKTLPLHz65QBJcBj/EQoizUvJwkzkgtTcBzOQxKER8eEjhE1ogSS9LNqdmb90mTt4wWQAxLBFukfR4HN/EQiotKkLHKi6uF9bdITEZfkN9yGJ2cxcvxAh+jjxASXk6MPRm8nCTOYJNmOCqjn+NgWd7aDRBD4ChuFmq3McNbkLHHaYfHGV8mebYa8tZuvEACh8iaEgEOohsKRzGQEBG8WCK8rtRJk9+2YxM6L7tpINUSwfNiw1cGFSBGFpUsy9xZWwExxGE3h2OVB0jgEFmTjMHheOAnJky7TYLPw88ZPCJMmp1kiciKZDVefhabEgGsrQOhKELRGABOxSHHbcejO5kHSOAQWSNCwbrU9EkeDtpkiBD0yVtGCyDWYsNTu4lQQ4i1m8tuQ16iSjoPJAONeR6r/FkNeYAEDpE1qRkG0RifwbK8pk+KEPTJpatFCFHNDozkp90K3A447XzXEOpOOWiTp82ICHWrktZWfqyGPEACh8gavzc+8GMyEBjkc8Hp4iwrg8H7pCnLMndneAFiZO7x6KKSJIl76xdv5RwYIvQ5Hq2tPEACh8gal8OGQnc8roVX3z6P7gIAyunOvFoi+oIRRBJWOZ7ajndhCPAbD8H7aey8HQ3C4H2spgZn8zRWeYAEDpETxZxnUnXRrjAr2CLoddrhcfITDyFCFWhei64lj2vgs8/xukjzLqp7UzYjvIlDoyGBQ+SEUguH211hIu2UIzcLwP+kyWMNHCApDPuCEQQjfAbL8lp0jXcXFbeWL86DjLs53YzwAAkcIidKOLdEKOdQcTZp8m6J4HWR9nmcSJy3iR5O247XeAglQJvTzQhvVYwZomxGeGs3HiCBQ+QE79WMOzldbJTzqDgXhry1m80mKQsOj31OlmXFasir9Yv3hZq/dhNjM8JT1h4v6CJw7r//ftTV1cHj8aC+vh7btm0b9fo//OEPmD59OjweD2bNmoW///3vaZ/Lsox169ahuroaXq8XDQ0N2Lt3r5aPQIwA7xVSuzisjAqkn0fFI8zlyOOk6ef4wM3AUEQpmcBrn+NV4HRyWtKBWX9pMyIemgucp59+GmvWrMFtt92Gd955B3PmzMGSJUvQ2to67PVvvPEGvvzlL+PKK6/Eu+++i2XLlmHZsmXYuXOncs2Pf/xj3HvvvXjwwQexdetW5OfnY8mSJRgaGtL6cYhPoFRI5XTwKydic7ZQ814ksZtjs3cJx+KQ3VOeyw63g694CN4rj3ProkrE4AyGoxgK8xf3xYQ+b4KaBzQXOHfffTdWrVqFlStXYubMmXjwwQeRl5eHRx99dNjrf/7zn2Pp0qX49re/jRkzZuCOO+7AGWecgV/84hcA4tabe+65B9/5zndw8cUXY/bs2Xj88cfR2NiIZ599VuvHIT4B7xV5eQ1cZJMRt5Mmp+0GgGsXFa+1XAD+47547XOFbgccicAvHtuOLDgjo6nACYVC2L59OxoaGpJ/0GZDQ0MDtmzZMux3tmzZknY9ACxZskS5/uDBg2hubk67pqioCPX19SP+ZjAYRCAQSHsR6lDCceppOBpD71AEAH8WHN4ryypxJBzuCks4zmpJrcbLG/zHffFpwZEkKekW5Xis8tZuPKCpwGlvb0c0GkVlZWXa+5WVlWhubh72O83NzaNez/53LL+5fv16FBUVKa/a2tqsnoc4EZ5jcNiEKUlAkZevwR+fNPl1GSSrGPMlDAG+XS28FpYEUi04/LVbKBJDXzC+GeGx7XjOpOqiIOMRsUQW1dq1a9HT06O8jh49avQtmQaeTylmE7nP44Tdxs/ZNgy24+LREpEMzuZv0kyeR8Vfn+PZRcX+LftD/LlFuwfj7WaTAB9nmxEgpZoxh4HtPItqo9FU4JSVlcFut6OlpSXt/ZaWFlRVVQ37naqqqlGvZ/87lt90u93w+XxpL0Id2KTZMxjm7sBNXtN1GTxntfAcZMyzMOTVzQIAPo9DEfq8tR0TDkVePjcjXLuoKMh4RDQVOC6XC/Pnz8emTZuU92KxGDZt2oSFCxcO+52FCxemXQ8AGzduVK6fNGkSqqqq0q4JBALYunXriL9JaAcbVLIcFzk8kUw75XPg8+ze43lXyLVrj2N3QfzATT4Xap77G8B3WQcKMh4Zh9Z/YM2aNfjqV7+KBQsW4Mwzz8Q999yD/v5+rFy5EgCwYsUKjBs3DuvXrwcAXH/99fjMZz6Dn/70p7jooovw1FNP4e2338avfvUrAPFBesMNN+D73/8+pk6dikmTJuHWW29FTU0Nli1bpvXjEJ/AabfB53EgMBRBZ3+IK2sJ7wM/eTYQX8JwMBTFUDgGgM+FmudYEhEW6va+EHeiunuA782In9OxCqQGGfPZ54xEc4Fz2WWXoa2tDevWrUNzczPmzp2LDRs2KEHCR44cgc2WNCSdffbZ+O1vf4vvfOc7+K//+i9MnToVzz77LE4//XTlmptuugn9/f24+uqr0d3djUWLFmHDhg3weDxaPw4xDCX5LgSGIhzuCvk23fIaLMv+HZ12Cfkuvmq5AEn3D2/tBvDvLijmtP4S74s0r+7koXAUg4l4Kt7O2+MBzQUOAKxevRqrV68e9rPNmzef8N6ll16KSy+9dMTfkyQJt99+O26//Xa1bpHIgeJ8Fw51DHC34Cil3zmfNHmzRKTWI5Ek/uIhWLsFhiKIRGNw2PnJleD1uAGGIg457nM8UsKpO5nFUjlsEgrduiznQsHPzEAIC6+xJDynOgMc76b7WQ0cPtstNeW/m7O4L95dVIp7j7OxynNwNpAaZMxXf0s93oLHzYjRkMAhckZxtXC3K+Td7M13wCevbhZHIu4L4Mv6lXrQJq9tx2sV6E5BNiM89TeA72xHHiCBQ+QMr5Vluzgf/LwWD+M9OBvg8yyvwXAUoUg8OJtXF1XyHC9+2g3gv88Vc2rB4X0TZzQkcIicKeb0wE2eU3aBVHcBp5Mmx0GLPKaKs3txOWzwOvkLzgb4Pa6B9+MG/ErcF1/1vni3thoNCRwiZ3gNwOviuKoskJzMe4MRZefPAzxX42XwmCrePZCMXeI1HoLHdgP4DzL2e/ms98W75ctoSOAQOVPM4XENsZisTES87gp9HidY0VZWqp4HRJg0k5YIfhYb3gtLAvzG4PB8SCmQHvfFk/UraW3ld6waCQkcImd4zKIKDIXBLMm87gpttuSBmzydccN7oCyQGkvCT5/jPYMK4NMtGovJQohqHq1fSSs1v2PVSEjgEDlTwmGVT7bLKnA74HLw2815PONGhMWGxwM3uzk/+wzg0y3aOxRJ2Yzwu1DzGPclgqg2En5nfkIY2ODqGQwjEuVj0hTBCgHwaYno5Dw4GyAXVbakuUU56XOsv+W77HA7+AzOBlItOPz0OVHmOaMggUPkTJHXCUmJJeFj8LPJm+fdNJC6K+Sj3YCk+4JnszePwlAEy1eaW5SThZr3AGOGn8Mq0N0CbEaMhAQOkTMOu02pLstLHE5qhU+e4a3YXzgaQ28wAoDvhZrHYFlRAj55O8sruUjzK6gBPrNFeU+vNxoSOIQqlHDmn06m7PI98HkLXGRCS5IAn5fftuPTXSBGwCdvZ6B19YtRrI63uK9INJaSKcp32xkFCRxCFXgLlu0UxuzNl4uKCQa/1wm7jc9aLkBSRHQPhBDjpPCaKAGfvJV1EMVFVczZWE2tx1PE8WbESEjgEKrAW+l8EeIhgNRjLjhZbAQo8gckF8OYHC8JwAOKJYJzFxVvxzWIY23lbKwm2s3nccBhp6V8OKhVCFUo5sxFpZyIzblfn7dYElGyMlwOGwrc8cJrvIhqUVxU/ny+YnCEs7ZyMlYpwPjkkMAhVEGx4NCkOSaKOdtNi+JmAfg6V2koHMVAKAqA/wVHCZblbaHmXBjyNsclNyN89zcjIYFDqAJvfn3RXFS8LDa8H1CaCk8B2kygOmwSChOWJV7hrfK4KK691HpfPBy4KYrF0EhI4BCqwFsKpQgnYgPJ3Rcvk2a3QGmnPNVzST3VmdeDNhnFnMXLiRJkzCyGMRkIcFDvi821JZy3m5GQwCFUIZlFZfzAl2VZnGBZzk4p7hKkfhCQDErlQVSL5NrjrfaSKKLaabehkB24yUHbkYvq5JDAIVShhKMaEX3BCCIJawjvCw5vpxSLtFD7OYolEaWWC5BiweGgv8myLFSf46mGkCixS0ZCAodQBSUGh4NJky02HqcNXhe/Z9swijmKJekaECP7DEiJJeGi3fg/h4rB2i0wFEHY4LPjBsNRBBOHfvIegwOkznMcWFtZnxOg3YyCBA6hCswP3MvBpCnSjhBIXag5mjQFaDslQJuDxUaUs8+AT5wdZ3CfY33eaZeQL8BmpIQj9x4d03BySOAQquDzJk8pNnrwiydwOIolESR2CeDLRcV29CIIQ7tNUirfGm01TI354j04G+ArA02UTFEjIYFDqII99ZRig3fUyVRnMXY2vLhaYjE55Wwb/tuOp7gv0eIheDk7TpQAYwZP5TA6BYr7MgoSOIRq8HIeVZdAu2mAn7TdwFAYLFNdhLbjKXOvUxHV/LcbwE/bieQSBVLOQDN4EyfLsjCnsBsJCRxCNXiphcMmTVHqQ/DiomKLXYHbAZeD/6khtbKsLBtbQygZDyFGn+PF+iWa5YsXC45ImaJGwv8sRggDL4NftAqfvMSSdCrxEGK0G5vYIzEZfcGIofci3ELNTZ9jWXtiLNK8bOKYa8/jtMHj5D842yhI4BCqwcvgT1YxFmTS5G43LUa7eZx2eJzxKczouC8mDkXpc7zUwhHNRcXLZkS0RAqjIIFDqAYvNSJEygQCeIqHEEsYAnwcHBmJxtA7FLcgidLneClNIJrlq4STeDnRXKJGQQKHUA0lAM/w3Q0LMhZr0jS63URbbAA+dtTdicwzSYKSfs07vMV9iWLBYQG93QMhxAw8O07ZxFGA8aiQwCFUg5cYHJGKrgHpu2kjg2U7BbN8AXy499hiU+R1wm7jv5YLkJq5x8dYFaXP+b3x+4zJ8axDoxDNtWcUmgqczs5OLF++HD6fD36/H1deeSX6+vpGvf4b3/gGpk2bBq/XiwkTJuCb3/wmenp60q6TJOmE11NPPaXloxAZwEsMjmgLNbM0RWMyAkPGBcuKZvkCUtx7BrpFRXQX8OKiEq0ar8thQ6Hb+LPjRGs3o3Bo+ePLly9HU1MTNm7ciHA4jJUrV+Lqq6/Gb3/722Gvb2xsRGNjI+666y7MnDkThw8fxjXXXIPGxkb88Y9/TLv217/+NZYuXar8t9/v1/JRiAzgwYIzGEqebSPKQu122JHvsqM/FEVXf8gwN4doli+Aj2wg0bL2gJRjLgx3J4sVnA0A/nwneoMRQ8WhaJYvo9BM4OzatQsbNmzAW2+9hQULFgAA7rvvPlx44YW46667UFNTc8J3Tj/9dPzpT39S/vuUU07BD37wA3zlK19BJBKBw5G8Xb/fj6qqKq1un8iCZF0S4wY+E1dOu4QCt6b6XVX8eS70hwbRNRBCHfINuYfOfvHM3jy4WkQLageS/8Y9g2FEY7IhrrWwgMHZQNxSfbRz0FBLtWixS0ahmYtqy5Yt8Pv9irgBgIaGBthsNmzdujXj3+np6YHP50sTNwBw3XXXoaysDGeeeSYeffTRUWMXgsEgAoFA2otQH+ai6gtGEIoYc+CmaGfbMJKBxkbuCsUzexdzkIEm4mLjT1gJZRnK8Rx6w/qbSMHZAB+W6qS1VZx2MwLNBE5zczMqKirS3nM4HCgpKUFzc3NGv9He3o477rgDV199ddr7t99+O37/+99j48aNuOSSS/D1r38d991334i/s379ehQVFSmv2trasT8QcVIKPQ7lwE2jMoLYpClKFWMGc6cZ69cXzxJRwkE9ly4BFxuH3Qafx9hYEjZH+DziBGcDyfFhZNajiNZWIxizwLnllluGDfJNfe3evTvnGwsEArjoooswc+ZMfPe730377NZbb8U555yDefPm4eabb8ZNN92En/zkJyP+1tq1a9HT06O8jh49mvP9ESdis0nK4Ddqd9OpZBeIs9gAxseSxM+2Ea8Ojp+DYNkuQRcbozPQRA2UVeY4A13x3QIGthvBmIMUbrzxRlxxxRWjXjN58mRUVVWhtbU17f1IJILOzs6Txs709vZi6dKlKCwsxDPPPAOnc/QBUF9fjzvuuAPBYBBut/uEz91u97DvE+pTnO9CR3/I8F2haAPfaBdVfyiKUDTuVhRpweEhc0/ELCogIcg6Bgxru87+IACxgtoBPmoIJTNFxRmrRjBmgVNeXo7y8vKTXrdw4UJ0d3dj+/btmD9/PgDgpZdeQiwWQ319/YjfCwQCWLJkCdxuN5577jl4PJ6T/q0dO3aguLiYRAwHJBccYxZq9ndFskIAKS4qo3bTiQnT5bDBK9DZNjycYC+iiwow3oIj2jlUDKMD2wdDUQyGowDEazu90SzNZMaMGVi6dClWrVqFBx98EOFwGKtXr8bll1+uZFAdP34cixcvxuOPP44zzzwTgUAA559/PgYGBvDEE0+kBQSXl5fDbrfjr3/9K1paWnDWWWfB4/Fg48aNuPPOO/F//+//1epRiDHAKmsatlALmLILGO/XTw0wFik4my02wUgMg6EovC79xZmoRdeMPiKkS8CyBIDxwpD9XZfdJlSmqBFo2jpPPvkkVq9ejcWLF8Nms+GSSy7Bvffeq3weDoexZ88eDAwMAADeeecdJcNqypQpab918OBB1NXVwel04v7778e3vvUtyLKMKVOm4O6778aqVau0fBQiQ4wO+hQxUBZIPceL2m0s5LvscNltCEVj6BwIYZzLq/s9KIHtoi3UBrv3OvrEq4EDGC8MO1OOaRBpM2IEmgqckpKSEYv6AUBdXV1aevd555130lL1S5cuTSvwR/CF0WcDiXaqMyN5jpexu2nRBI4kSfDnOdHaG0RXfwjj/PoKnFhMVqxuwgW2c2KJEC3j0ehNnGiV2o2EzqIiVMXoXaGItVwA47OoRD68z0iXQWAoDHbmIjunSBSMzgZiC7Volq/UsWrEgZusn5cWiNVuRkACh1CVZBEsgy0Rok2aKVWgjThws1PQTCDAWJcB+5uFbgdcDrGm05KUk7GNQFSBw/pbTIZSiVlPFNeegGNVb8QakQT3KGfcGBVLIqj5llmcQtEYBkJR3f8+S9ktFWyxAYwN0FYKrglo+fIbXbNKUHey22FXgnuNaDtRg7ONgAQOoSpJs7f+Az8UiaE/IQ5Ec1F5nXa4ExYAI1wtoqbXA8YGaItadwkwvvaS4moRsM8ZWXm8Q1DLlxGQwCFUJTlpGrfY2KR4+XeRkKRkFWgjagh1CFp0DTA2QFvkgE9/XtJFpXcsyVA4qlgqRRTVRs5zXSRwMoYEDqEqzOzdH4piKKyvq6UjZbGxCXS2DcPIonVsoS7NF69YppFWw2S7ibfYsHaLyfFgaT1h7ea0SygUsJaLn4M+J6Ko1hsSOISq+DwO5eA8vXfUogYtMozMBupUXFRiWb4AYzPQRO5zTrtNERd6L9Spi7SItVxKuNiMiNfn9IYEDqEqqa4WvSdN0X3TxQal2Mdicko8hHgWHCNjSToEDZRlGFULR2RhCKS2mxGZe2L3OT0hgUOojpJJpfek2ZfIBBK0PkRxvjHpzoGhMKKJGAwRLThGBnyKvptOHhypb58TtbAkw9jNiJiVs42ABA6hOkZZcITfFRps+Sp0O+B2iHPQJsPINHHhrYZK3SqDxqqwmxFjLF9pmxFBxaGekMAhVMeoDIPkYiOemwVItpvei02XSdws/aEoghF9A9tZ2wlrNTRIHCoCR9BFusSgjMfOlM2IaIUljYBaiFAdv0El4EV3FzCB05FwtemF6FYIPgLbxRTVRh3XIGqRPwZz7Rll+RK13fSGBA6hOkbF4Ii+ULMAX6Nce6IKw3hgu/5xOMFIFH3BeKl+UftccZ4xxzWI3ueKDbJSi+6G1xsSOITqUAxOdjA3B7Xb2DEi6DO1lovPI14tF8C4KtCiWyKSpQnCuhZJpGMaxgYJHEJ1jKrnIvpCXZpvzKQpersBSXHYruNCnXrooYi1XADjUuyVhVrQGByWuReNyboeuJlazJQ4OSRwCNUxIsMgGpMVc7HoZu9oTEbPoH4LjikEDnPv6Ri/ZIZ28xscSyJq23mcduS74hmHerad6EHtekMCh1AdI85U6hkMgxk9RDV7O+02xdXBzobSA9EXGyAlQNsAF5UZ2k3PWBKz1HIpUVzK+o1VsuCMDRI4hOqUGBCDwyYZn8cBp13cbl1aELdEMPeHHphhoWY7Wj0FjuhB7UB6LIks6+MW7R2KCF1YksEy5/Qcq8mDNsVtNz0RdyUguIVNWoPhKAZD+tQlYZMMEwiiUmpA0KcpBA5rNwMWG1FdokB6LElAp1gSZp0sELSwJKPMCKuhYvkSe57TCxI4hOoUuB1w2uNBl3rF4ZhhkQaMcbWwBUfEc6gYiuXLAHeByIuN25GMJdErAy15lpLYVgjFaqhr3Ff8b5EFJzNI4BCqY8SBm2ZwFwD6p4oPhqIYCscAiFs2HzAqBiex2AjcboD+SQGsqKDIwhBIcVHp2OdYXCPF4GQGCRxCE/ROPxW9cBhD72rGzOLhstuUnbyIlCm7af1de6L3uWQcjl4CJyEM88S2Qujd51ILS4psbdUTEjiEJuidfmoeF5W+u8LUdhO1lguQbLeewTDC0Zguf9MsVsNksT+9NiPhtL8rKnpbW5n1xm6TUChoYUm9IYFDaIJS7I9cVGNC7yBjswhDv9eJxHFUuvU5s7Sd3sc1dAler4rBRHW7TtZWpfpznhM2m7ibET0hgUNogt4xOMzsLXoBLL13hYqbRfB2s9kkXeNwItGY4n4VX+DoHC/HKkAL3m6lOsd9mUVQ6wkJHEIT9D6ugU2a4gcuGjNpmiFoMRm/pH3bsUJ1kiR+26XWwtED0Y9pYLBNQVd/SJejVZi7X/T+pickcAhNMGrSFN3snXqiuC6Tpol2haX5+qWKs3bze52wC+4uYCnHelXkNYs7md1/JCYjMKT9PMeOIRG93fSEBA6hCXrG4MiybJqFmtUGieo1aZokEwhILZ2vfZ8zS38DkjWE9HJRtffGF+qyQrGtrW6HXQn21cPiahZ3sp6QwCE0Qcmi0mHg9wYjCEfj1g7RFxy3w45Ct36TpnK2jeDtBqRUltXBRZUUhmIv0gBQVsCCZfXZjDALW5kJ2q5Uxz7XlvgbZYJXa9cTEjiEJugZg8PK8+e57PA4xa3lwtAz0NhUFhwdU+yTFWXFbzfW3/TIBhpIKSxpBktE8uw47duO/Q3Rj6PRExI4hCakZmZofYifWXz6DF2DZU3UdiU6ls43l+UrvmD2DkUQjGh7dhzr0x6nDXkCF5Zk6JkUwP5GmQn6nF5oKnA6OzuxfPly+Hw++P1+XHnllejr6xv1O+eddx4kSUp7XXPNNWnXHDlyBBdddBHy8vJQUVGBb3/724hE9DkojsgMNvCDkRgGw9pOmmayQgCplgj9Fmoz7KbZxE+Wr7Hh8ybPjtNaVLclxGdZgVvowpIMPasZMwub6LFLeqJpOcTly5ejqakJGzduRDgcxsqVK3H11Vfjt7/97ajfW7VqFW6//Xblv/Py8pT/H41GcdFFF6GqqgpvvPEGmpqasGLFCjidTtx5552aPQsxNvJcdrgcNoQiMXQNhJHn0q6rmcldAOh3MnY4GkPPoHnOtjFiN22GPidJEkrz3WgODKGjL4Qav1ezv2U2N0sy61EPF5V5RLVeaGbB2bVrFzZs2ICHH34Y9fX1WLRoEe677z489dRTaGxsHPW7eXl5qKqqUl4+n0/57MUXX8RHH32EJ554AnPnzsUFF1yAO+64A/fffz9CIf3OoSFGR5Ikpc6F1plUZjjVORXF1aJxu7H4KJsE+E0gcPSMh2Di0wyWL0C/OByzuVmYwG3XeKwOhVPOoTKJONQDzQTOli1b4Pf7sWDBAuW9hoYG2Gw2bN26ddTvPvnkkygrK8Ppp5+OtWvXYmBgIO13Z82ahcrKSuW9JUuWIBAI4MMPPxz294LBIAKBQNqL0B69MqlMt9jo5Gpp701aIUSv5QIk2y0wFEEoou15VGZKEwdSM6m0FThKirhJFulSneK+2L+Ly26Dj86hyhjNWqq5uRkVFRXpf8zhQElJCZqbm0f83r//+79j4sSJqKmpwfvvv4+bb74Ze/bswZ///Gfld1PFDQDlv0f63fXr1+N73/teLo9DZIFemVRmW2z0yqJq7zPXYlOUKLoXjcnoGgih0ufR7G+xqrJm63NaWw3NFPMFJMeO1mO1I2UTZ4bYJb0YswXnlltuOSEI+JOv3bt3Z31DV199NZYsWYJZs2Zh+fLlePzxx/HMM89g//79Wf/m2rVr0dPTo7yOHj2a9W8RmVOskyXCTPEQgH6H+JlN4NhskhJLpGXQZyyWLCxplrZTLDi9+vQ5s7hZ9Mp47DDJWXt6M2YLzo033ogrrrhi1GsmT56MqqoqtLa2pr0fiUTQ2dmJqqqqjP9efX09AGDfvn045ZRTUFVVhW3btqVd09LSAgAj/q7b7YbbbY4BJRJ6xeCwSbPcJJOmbi4qReCYZ9IszXehvS+oaQZa10AI0Zg5CksyyvSy4CjF6szRbsp5VIk+oZWrl7mTzSKo9WLMAqe8vBzl5eUnvW7hwoXo7u7G9u3bMX/+fADASy+9hFgspoiWTNixYwcAoLq6WvndH/zgB2htbVVcYBs3boTP58PMmTPH+DSElrDB36Z16mli11lukvTJVNeeLMuamaTbTVgZtbTABbRoKw5ZuxXnOeG0m6OUWClZDbOCWQxjMtA9ENLMMtXOLDgmSaTQC81G54wZM7B06VKsWrUK27Ztw+uvv47Vq1fj8ssvR01NDQDg+PHjmD59umKR2b9/P+644w5s374dhw4dwnPPPYcVK1bg05/+NGbPng0AOP/88zFz5kz8x3/8B9577z288MIL+M53voPrrruOrDScoUfgYiwmJzMzTDJpMoETjsoIDGlX38ksZwKlomS1aCiqzbZIA6lZVBSDMxacdpuSTKGl9UuxfBWao930QtPtx5NPPonp06dj8eLFuPDCC7Fo0SL86le/Uj4Ph8PYs2ePkiXlcrnwj3/8A+effz6mT5+OG2+8EZdccgn++te/Kt+x2+14/vnnYbfbsXDhQnzlK1/BihUr0urmEHzALCptGvr1uwfDirvALJOmx2lHATuPSkNx2GbChToZ9Klhu5nMYggk203L/haJxpSEAzNZIvQ4j0oR1SZqNz3QNN+spKRk1KJ+dXV1aWX8a2tr8corr5z0dydOnIi///3vqtwjoR16WHDYb/tN5C4A4jEKfcEI2vtCmHxyj3BWtJssHgLQJ+jTjBYcReD0hxCLybBpEEvSORCCLAOSZJ7YJSAu1va39Wsa99VhslIYemGeFYHgjooUC45W51ExN4tZAowZeli/zLhQ65HubEbLFxMc0ZisVLdWG7ZIl+SZo+4SQ4+yDmYcq3pAAofQDDYYg5GYUoVTbcy42ABJgaOV9Ss11dlMrpaku0BDYdhrvngIl8OGIi+LJdGm7cxqhdAn7sucbac1JHAIzfC6krEkWg3+NhMGygJJwaaVBceMqc5AqluULDhjRcl67NWm7ZhwMl+7aRv3Fd+MmLPttIYEDqEpZcqkqc3gZwuZ6VxUGgsc1m5mi12qKIxXL9bFLWpSUa2VBYf1ZbMU+WOwOa5dI2HYPRhGYi9iqs2IHphnZiO4ROtAY8U3bSJ3AZASg6N1u5ltsUn0g8FwFP2hqCZ/w2yFJRlKsT+NrF9KirjJFulyneY4s21G9IBai9AUrYNl20x2eB9D6xgcM1YxBoA8l0Nxi7YGhlT/fTPWXWJoXeyPxUWZzfLFnqdVM2srK/JnrrGqByRwCE3Ry4Jjvt20Pi4qsy3SgLaiOjV2yWwBn1rHLylBxiZbqMs1zhbtMPFY1RoSOISmaG3BaTf5rrC9L4hYTP1J06wuKiAlfkkDUW3GYxoYyWrGGlsiTNbn2BjSyi1q5rGqNeYaoQR3aGnBicVk0+5u2GITjmpTl8SsgbKAtqLazItNMgZHW6uh2Sxf+W4H8l12ANr0ObMdUKonJHAITdFysekeDCNiUneB22FXzrjRxhJhzhgcgAROtqRWM1YbWZaVfmw2dzIAVPji2XtaxH2xPldCxzSMGRI4hKaUaXiIn9mzC5TsDE0WanNavgBtgz7NWncJSLqOtBCGgcEIQpEYAJNaDTV0i7J+XOEzX7tpjflWBYIrylIGvtoBeGY9poFRpmksiXktEVpacNpMbPliR6sMhKKqVx5v7Y1bNoq8TnicdlV/mwe07HOs7SpMKAy1hgQOoSls4IciMQSG1J00zVpRlqHVpCnLKbFLJpw0NXVR9ZrveAtGaiyJ2q4WxQphwnYDNBY4gfhvVibcYETmkMAhNMXjtKNQOa5B3cFvZncBoN2kGRiMIBSNuwvMlrILaJ1FZW5RzRZRtd17ihXCpG4WrcZqNCYrfc6s4lBLSOAQmqPV4G83eXaBVu3W1hdfbAo9DlO6C9hC0NEXVGrWqIVZ6y4xWJ9rUduCE2CLtDmtEFrFfXX0BRGTAZtkvvR6PSCBQ2iOVqniZq2Bw9AqBsfsJu/SAjdsEhCT1T9XyayVsxksG0htUU0uquxg7VZa4IbdJqn621aABA6hOex8IPUtOOZebLSaNFtMHrRot0lKSq2abRc/1ZnFLpnTalipkSWC/Z5ZNyNauUUpwDg3SOAQmqPVYXTMEmH2SVOrdjOrBQfQRhx2DoQQicmQJPOKahYjo76LKv57Zh2rWrlFk649c7ab1pDAITRH8U8HtNndVJrcr9/RH0IkERSsBi0WmDS1EDhs0S/Nd5uy7hKQjJFRe6y29Zo7Bqck3wVJA7doq8nbTWvMOUoJrmB+/RYVF5twNKYEGVcVmXPwl+S7YJMAWY5bD9RCcVGZ2YKjgcsgafkyrzBkFhy2eVALsxerc9htymnsaopqs2efaQ0JHEJzqjQoY84mEaddQnHiSAOzkRpLouaOus0CC7UWVkNmwTGza0+x4Ki4SA+EIkrhQLIajg1yUeUGCRxCc9iC0KyiwGGLTUWhB5Jk3uyCCi1cLb3JtjMrSrupaMFpVgSOeRcbZinoHYpgUKWTsdki7XXaUZCoiWVGNBE4SnC2eceqlpDAITSHLQjdA2EMhdWZNFsssNgASfebWuJQlmVLtJ02MTjmj4codDvgTdRGUstNleqeMvNmhLlF1bR+tZnctac1JHAIzSnyOuF2xLuaWi6DFgtkAgEp1q8edRab3mAEQ+F4wLKZF2pt3AXxfwOzxnwBgCRJKXE46rSdVVKdq4rUzUCTZdkybacVJHAIzZEkSVmoW1TaFVohHgJIxi+pNWmyRbrQ44DXZb4qxozKlHZT65BX1nfNbPkCkoupen3O/JYvAKgq8gIAmlTajHQNhBGOxvuuWdPrtYYEDqELai/UirvA5IsN2xWq5aKyiuWL9beBUFS1Q16t4KICktl1allbzV7kj6H6ZiQhqIvznHA7zLsZ0RISOIQuMCGilquFDf4qky/UaruorGLy9rrs8Cey69Rou0g0phRcNLs4rFC5mrFVUp2rE65LtSw4VrF8aQkJHEIXqlQ+pZgtWmZfbFi8h9qWL7O3G5Dsc2pYv9r7QpDleOq+GU9gTyVZ7E+dPmf2In8MNqba+4IIq1CY0+y1g/SABA6hC2pbIqyQCQQkF+kulTLQlPR6k7cbkJKB1jOY828lyxK4YTP5oYeVKgcZM4tGjYmDswGgNN8Fp12CLKvTdqmlMIjsIIFD6EKlipaIwZS4CjNX4wXUz0CzUul3xYLTk3u7NSvC0PztVqliLIksy2jqjgtMM2efAYDNJqVs5HIX1Y2Jdqvxm7vdtIQEDqELlSpmZjCfvtdpR6GJC4cB8Qw0NWvhsMWm2uSLDZBaQyj3xUZJEbeQ5UuNWJLeYAT9iYKB1YksIzOjqqhOtL8V2k0rNBU4nZ2dWL58OXw+H/x+P6688kr09fWNeP2hQ4cgSdKwrz/84Q/KdcN9/tRTT2n5KESOJHeFwZzTdltSjhowc+EwhpqVoJuUSdMCAsen3kJtpdilmsSC2heMIDAUzum32CLtz3OauiwBIykOVbDgWGisaoWmAmf58uX48MMPsXHjRjz//PN49dVXcfXVV494fW1tLZqamtJe3/ve91BQUIALLrgg7dpf//rXadctW7ZMy0chcoQtDIPhKHqDuaXtssnDCu4CICX9NMeFOhKNKRa0Gr/5d4XJGBz1hKEVBE5qBlpTd25tx9wsZs92ZKiZKs7cXNXkosoazez7u3btwoYNG/DWW29hwYIFAID77rsPF154Ie666y7U1NSc8B273Y6qqqq095555hl86UtfQkFBQdr7fr//hGsJfvG67CjyOtEzGEZT9xB8VdkfkNmYmHTHW2CRBtQ7rqG1N4iYDDhsEsoKzO9qYaZ9NSxfbKEeZ5E+V13kRfdAGI09g5hWVZj17zBxaQVBDajn3hsMRdE1ELeeVfus0XZaoJkFZ8uWLfD7/Yq4AYCGhgbYbDZs3bo1o9/Yvn07duzYgSuvvPKEz6677jqUlZXhzDPPxKOPPjqq2yMYDCIQCKS9CP1hk1xjjubbZPCdNQa+Wi4qZvmq9HlgN3kmEJDcTatxBhrrs1bpcyzjKWcLTo/5j7dIRRHVOQocNtbzXHb4vOaOM9QSzQROc3MzKioq0t5zOBwoKSlBc3NzRr/xyCOPYMaMGTj77LPT3r/99tvx+9//Hhs3bsQll1yCr3/967jvvvtG/J3169ejqKhIedXW1o79gYicGZcwtTKBki1WEzhVKqXYH08sVlaxQvi8yYMjc2m7WExWFnqrZLQwt0iusSTMzWL2FHGGWpXHUzPPrBBnqBVjFji33HLLiIHA7LV79+6cb2xwcBC//e1vh7Xe3HrrrTjnnHMwb9483Hzzzbjpppvwk5/8ZMTfWrt2LXp6epTX0aNHc74/YuwwQXK8K0eB02OtxaZGJWGoZFBZpN1SM9BycRl09IcQisZgk6wRgwMkLRGNOVpwmhQLjjVENXvOlsAQYrHskymStYOs0W5aMWbb14033ogrrrhi1GsmT56MqqoqtLa2pr0fiUTQ2dmZUezMH//4RwwMDGDFihUnvba+vh533HEHgsEg3O4TYwvcbvew7xP6wiwHallwrGKJGFecnDTD0Ric9uwMr00WTDut8nlwsL0/p1Rx1t8qCj1Zt71o1KhkwbFS1h4QLwQpSUA4KqNzIJR1rBtrd6u49rRizAKnvLwc5eXlJ71u4cKF6O7uxvbt2zF//nwAwEsvvYRYLIb6+vqTfv+RRx7BF77whYz+1o4dO1BcXEwihnOUGJwcdoV9wQh6BhPBdxYROGX5brgcNoQiMTT3DKG2JC+r37Fi4bBqxfqVfZ+zZLupdDJ2s8UEjtNuQ1mBG229QTT3DOUgcKxR/VlrNNuOzJgxA0uXLsWqVauwbds2vP7661i9ejUuv/xyJYPq+PHjmD59OrZt25b23X379uHVV1/FVVdddcLv/vWvf8XDDz+MnTt3Yt++fXjggQdw55134hvf+IZWj0KohOKiysGCw9wsPo8DBSYv8sew2STFWnUsB/eeFS0444vjYjCXdjtusZgvIOkaaewezLpuVe9QGH2JkhBWskQwMZfTPGcx155WaGpvffLJJzF9+nQsXrwYF154IRYtWoRf/epXyufhcBh79uzBwMBA2vceffRRjB8/Hueff/4Jv+l0OnH//fdj4cKFmDt3Ln75y1/i7rvvxm233abloxAqML44mbYbyfIwOisuNkDSHZfbpGk9SwTrc8e6Bk5y5cg0Wiw4GwAqE8GywUhMSVceK6zdirxO5LmssRkBkn0ul1hDZTNiobGqBZr2upKSEvz2t78d8fO6urphdwd33nkn7rzzzmG/s3TpUixdulS1eyT0o7zADaddQjgqo7U3mJVIseJiA6QInCwnzWAkiva+EABrBS6qsdhYLWsPANwOO8oKXGjvC6GxexAlWZygfrQzLiprS6zTbgBQm7AaHs1BVDNBbrV5Tm2sETFHcIHNlsxqyTbQ2IqLDZAMND7end2kyWIhPE6bUqXWCrDF5lj3YNZZLVargcOoyTEpgC3S4/3ZxYyJStJqmF279QyE0Zs4TJj9FpEdJHAIXWHWg2xdLZYVODm6qBTXXpHXUnU1qoo8sElAKBJDe392ByA2WqwGDiPXhfpo4ntWs+DkGvfFLD9lBS5Lufa0gAQOoStJS0SOC7XFFptxObpajnQwd4G1dtNOu00Jqs5mwRkKR9HeFxdGVnLtAcm+kq2rJemislafY4LuWOdAVgHarN2YUCKyhwQOoSu51sI5brEaOIxxKSn22bhajiQmzYml1ps0x+VgiWD91Ou0W8q1B6TEknRmKXCYBcdiC/W4hEuuNxhBYHDsBwszQWk1YagFJHAIXckl3TkUiSkLzgSLDX7F1RKNKRaFsXA4sUhZrd2A3DKpDqcIQyu59oBkXzmShcCRZRnHLBpk7HXFA7SB7KxfRzuZMLRWu2kBCRxCVyYkLAiHO8Y+8I91DSAmx3fT5YXWKurotNuUM6mOZWH9OmppgZN9TMTh9n4A1rR8pQqcsbpaAoMR9CZq4IyzWJAxkNrnshA4ZMFRDRI4hK7UleYDiC+4Y62FY+XdNJCcNLNxGbBd+AQLLtS5BMsm+1y+qvckAjV+L2wSMBSOoW2MVsNkoKwbXpddi9vjmlz6nBK7ZDHXnhaQwCF0pcrngcthQyQmj7l8vpV300Dyucdq/eoZDKM7UazNipNmTi6qDuvGLrkcyQDtsYpqq9bAYTDry1gFjizLynes2nZqQgKH0BWbTcLExOA/1NE/pu8e6rDubhoA6sriz32wfWztxhabsgI38i1yvEUqtSkuqrEGaB9O9NGJJdbsc2yRHWscjuJmsaCgBpKieqzt1tYbRDASP7neaqUwtIAEDqE7TKAcHqPAsXImEABMzlLgMCvEBIvuCGv8Xrjs8cNKx1KeIBqTlYBPq/Y5JQ6nY2yWCNZuVi1Ux1zxh8a6GUkIw+oir2VOrtcSakFCd+pKmQVnbLsbZvGps7gFZ6yWryMWDjAGALtNUgTKgTEsOM2BIYSiMTjtkmV30xOyrIWjjNUya47VyeXx5z7SOYDwGGIND7Vb27WnNiRwCN2ZWDZ2C058N23thZoJu+6BMLr6Qxl/70hnvJ0nWFQYAskF50BbX8bfYf1zfHEe7DbrBbUDyViSsVpbD7TFr59sUYFTWeiB12lHJGXeyoQD7fH+Obm8QKtbsxQkcAjdycaC09QziHBUtvRu2uuyozpxltfBMSw4VrfgAMCksviCwRbeTLBygDFjcqLd9o+h3QZDUcUVaNWF2maTMKmMierM287qwlBtSOAQusMsEUc6BhDNMOiTLTa1Ft5NA8m2O5jFpDmpzMILdfnY45cUgWNhYXhKRbzdOvtD6MzQasjcU0VeJ4otVv05lUlZ9Dl27SkWFYZqQwKH0J0avxdOu4RQNIbmQGap4mzStGIdl1TGGofTF4ygKXGS+JTyQs3ui3dOycJFxQJErezay3M5lOrj+1ozazvFClGeb8l6VYxTmAWnPbN2i8VkReBMIguOKpDAIXTHbpMU336mC87elvh1Uyy+s5msTJqZCZz9iUWprMCNIgvvppmrpbFnCAOhzM4H2tvaCwCYWmHtPjcl8fyZCpyDiQXd6os0c89l6t473j2IYCQe1G7V7DO1IYFDGAJbNJhwORlscp1aae3FRrHgZChwWLtNqbD2YlOc71LcJZm4DEKRmBIjZvU+N1aBQ3EkcSaNsazDQaWQaT4clCKuCtSKhCFMq4y7Sz5u6c3oenbd1ErrulmAZCzJ/ra+jOKX9rUxgWPtRRrAmII+D7b3IxqTUeh2KGeAWRVF4GRobf04Yfmyep9jY7WtN4jeofBJr9+bEJBWF4ZqQgKHMISpYxA4PQNhtPbGz8KxurugrjQfbocNQ+FYRlVSybWXJOkyOPlCzfrllMoCS8eRAEmhsj8DC04kGsPHiT43vcqn6X3xTqHHiYrEocB7M2i73U0BAMD0amu3m5qQwCEMYVpVXODsbek76UnFLBaipsiDQo9140iAePwSazs2IY7GXmU3bW3LF5C0Gu5pPrmoZgvSqdRuijg+3j2I/uDo8UuHOgYQisTgddotXZaAwcTKrgzG6u5Ev5xRRX1OLUjgEIZQV5oPh01Cb0qWz0iwHaHV3VMMtlDvPslC3TsUVlKdZ9bQrpC1wUeZCEPFJUqWr+J8F8oKXABOHoezuznetqdWFcJm4XIOjJkJgfNR4+h9LhqTFashWXDUgwQOYQguh03xUbNJcSQ+bOwBAEyvJoEDJCfAk7Xbrqb4hFld5EFJvkvz++KdGYl2O9wxcNKYiJ2JPjeTFhsAybZj7TISe8gKkcaMxJx1MlF9qKMfQbJ8qQ4JHMIwTq8pAgC8f2z0SfOD4/HPZ4/za31LQjC9KjMLDhOGp5H1BgBQku9SKkGP1nZd/SHlsMjTxhXpcm+8MyvRDjuPjz5WmaieTgIHQHLs7WnuHTUpYHei3U6tKrR0IVO1IYFDGMbs8ScXOKFITBn8s2ixAZCcNA93DIx6JtWHCbP4zBpqN0YmLgNmpZhYmocir7Vjvhhs7I02VmVZxvvHugFQn2OwpICBUHTU87zYJm4mWalVhQQOYRiza/0AgPePdY8YaPxxSy9C0RiKvE46YTeBP8+lpJLuSCwow8F222TBScLa4r1R2o0tNqeToFZgbfFxSy+Ckeiw1zT2DKG1NwiHTaLNSAKH3aa490brc+8c6QIAzKst1uO2LAMJHMIwZlb74LBJaO8LoXGEQGO2Y5w9vsjy6bqpzE2Iwx1Huof9PDAUxp5E0CK7lgDOmBhfQLYf7hrxGiYMaZFOMr7Yi+I8J8JRWbGofpJ3E4v0jGofvC67nrfHNQsSfe7tQ8P3uXA0pli+zpjo1+murAEJHMIwPE47Tk1kBL0zwoLz1qFOAMCc8X69bksI5k3wAwDePdo97OfbD3dBluMniFdavFBdKmdMLIYkxd17rb0nimpZlrHtINtN+3W+O36RJEkRymxMfpJ3DncDSPZNIs6CutEFzq6mAIbCMfg8DuVIEUIdSOAQhlI/uQQA8Mb+jhM+k2UZWxLvLzylVNf74p15E+KT5rtHuhCJxk74/K2D8UXozEklut4X7/g8TiXNfvswC86+1j609wXhdtgwlxbqNNgY3DLMWAWSbpYzJpCbJZX5E+Nj8OPWXvQMnpi9xzZ38yYUU2q9ypDAIQxl0ZQyAMAb+9tP+Oxgez+aA0Nw2W2YP5EmzVRmVPtQ5HWidygyrG+f7bLPrCOB80k+lWiTrQdPtERsORBfvBfUFcPtIDdLKmefEh+rWw92niCqewbDSuwSs1gQccoL3agrzYMsA28PY/1im7tPUbupDgkcwlDOnFQCu03C4Y4BHP3E0QNssZk3wQ+PkxabVOw2CedOjS84m/e0pX3WPRDCu4nYnLMmk+XrkyxKtNs/drWcENz++r640GaLOZGEieq+YATvfyJdfMv+dkRjMiaX52N8MdVx+STnTGF9rjXt/VAkpgicT59arvt9mR0SOIShFHqcim9/066WtM827GwGAGUhJ9I5b1oFgBMFzqZdrYjEZEyvKsSEUlpsPsm5U8vgdthwrGswrR5OfzCCVz5uU64h0rHbJCxMCOaXPrFQb0r896en0iI9HOefVgUA2PhRC2Ip9XDePtSJvmAEJfkupS4YoR6aCZwf/OAHOPvss5GXlwe/35/Rd2RZxrp161BdXQ2v14uGhgbs3bs37ZrOzk4sX74cPp8Pfr8fV155Jfr6MjvlluCTi2ZVAwCeefe48l5r75Cym/78nBpD7ot3PnNqOSQpntZ8IOUAyQ0fxoXh0tOrjLo1rslzORQB80KirYC4RWcoHMPE0jzKoBqBC2bF+9Tz7zcq1q+hcFTpcxdQnxuWhZNLUeh2oL0viHePJmO//rKjEQBw/sxKir/RAM0ETigUwqWXXoprr7024+/8+Mc/xr333osHH3wQW7duRX5+PpYsWYKhoWS2w/Lly/Hhhx9i48aNeP755/Hqq6/i6quv1uIRCJ34wtwaOGwS3jvWo5wB9NyORsTkeIrzxNJ8g++QT8oL3fhsworz5NYjAOLC8JWERYcEzshcmBDVv9t2RKnrwgT2xXNqqCTBCDTMqITXacehjgHFhbxhZzN6hyKo8nmU+CYiHZfDhsUz4mP1d9uOAoiXcvj7B00AgGXzxhl2b2ZGM4Hzve99D9/61rcwa9asjK6XZRn33HMPvvOd7+Diiy/G7Nmz8fjjj6OxsRHPPvssAGDXrl3YsGEDHn74YdTX12PRokW477778NRTT6GxsVGrRyE0pqzAjX+ZHh/897+8DwOhCB557SAA4Ivzxxt5a9zzlbMmAgB+//ZRdPaH8ODmAwhFYzhjgh/Tq6jA30hcNLsaVT4PWgJB/Gn7cbx3tBub97RBkoB/PYP63Ejkux3KmLx3014MhaP4xcv7AABfOWsCWSFGYcXZdQCAv+w4joPt/Xj4nwfRG4xgSkUBJQNoBDcxOAcPHkRzczMaGhqU94qKilBfX48tW7YAALZs2QK/348FCxYo1zQ0NMBms2Hr1q0j/nYwGEQgEEh7EXzxjc9OAQA8u6MRS+/5J5p6hjDO7yWBcxI+fWo5plcVoncogs/f9xp+/UZcGF7fcKrBd8Y3bocdV507CQDw/b99hJW/eQsAsGzuOEwqI4vhaFz96clwO2x480An/uWuzdjX2gd/nhP/sbDO6FvjmjMmFOPcqWUIR2Vc+uAb+MVL8fCL6xdPJWGoEdwInObmuA+3srIy7f3Kykrls+bmZlRUVKR97nA4UFJSolwzHOvXr0dRUZHyqq2tVfnuiVyZPd6PGxqmAgCOdA7A7bDhp1+aQ9lTJ8Fuk/DTL81BoduB492DkGVgxcKJ+AxlZJyUr55dh4WTSzEQiqKzP4S60jzc+n9mGn1b3FNbkoc7Lj4dkgQ09QzBbpNw95fm0LldGfDDS2aj0udGe18IMTluof4/s6uNvi3T4hjLxbfccgt+9KMfjXrNrl27MH369JxuSm3Wrl2LNWvWKP8dCARI5HDIDQ2nYm6tH7uaevG5mRWYUkEHz2XCaTVF+Pv15+LvHzShriwf58+sPPmXCDjtNjz2tTPx7I7jGApHcfGccSjKo0U6E770qVpMqyrE6/vb8emp5XRuV4aM83ux4fpP45l3j6O80I2LZlVTvJeGjEng3HjjjbjiiitGvWby5MlZ3UhVVTwgsqWlBdXVSUXb0tKCuXPnKte0tqanJ0YiEXR2dirfHw632w23253VfRH6ct60CiX9mcic2pI8/OdnTjH6NoTD5bDhSwtos5MNc2r9mEPHWYyZ4nwXvrZoktG3YQnGJHDKy8tRXq6N6XvSpEmoqqrCpk2bFEETCASwdetWJRNr4cKF6O7uxvbt2zF//nwAwEsvvYRYLIb6+npN7osgCIIgCPHQLAbnyJEj2LFjB44cOYJoNIodO3Zgx44daTVrpk+fjmeeeQZA/DC3G264Ad///vfx3HPP4YMPPsCKFStQU1ODZcuWAQBmzJiBpUuXYtWqVdi2bRtef/11rF69GpdffjlqaqhWCkEQBEEQccZkwRkL69atw2OPPab897x58wAAL7/8Ms477zwAwJ49e9DTkyz5fdNNN6G/vx9XX301uru7sWjRImzYsAEeT/I05CeffBKrV6/G4sWLYbPZcMkll+Dee+/V6jEIgiAIghAQSf7kYSwWIBAIoKioCD09PfD5qFYIQRAEQYjAWNZvbtLECYIgCIIg1IIEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpoMEDkEQBEEQpkOzoxp4hhVvDgQCBt8JQRAEQRCZwtbtTA5hsKTA6e3tBQDU1tYafCcEQRAEQYyV3t5eFBUVjXqNJc+iisViaGxsRGFhISRJUvW3A4EAamtrcfToUdOfc2WlZwXoec0OPa95sdKzAuZ+XlmW0dvbi5qaGthso0fZWNKCY7PZMH78eE3/hs/nM13HGgkrPStAz2t26HnNi5WeFTDv857McsOgIGOCIAiCIEwHCRyCIAiCIEwHCRyVcbvduO222+B2u42+Fc2x0rMC9Lxmh57XvFjpWQHrPe9IWDLImCAIgiAIc0MWHIIgCIIgTAcJHIIgCIIgTAcJHIIgCIIgTAcJHIIgCIIgTAcJHBW5//77UVdXB4/Hg/r6emzbts3oW8qKV199FZ///OdRU1MDSZLw7LPPpn0uyzLWrVuH6upqeL1eNDQ0YO/evWnXdHZ2Yvny5fD5fPD7/bjyyivR19en41Nkxvr16/GpT30KhYWFqKiowLJly7Bnz560a4aGhnDdddehtLQUBQUFuOSSS9DS0pJ2zZEjR3DRRRchLy8PFRUV+Pa3v41IJKLno2TEAw88gNmzZysFwBYuXIj//d//VT4307N+kh/+8IeQJAk33HCD8p7Znve73/0uJElKe02fPl353GzPe/z4cXzlK19BaWkpvF4vZs2ahbffflv53ExzVV1d3Qn/tpIk4brrrgNgvn9bVZAJVXjqqadkl8slP/roo/KHH34or1q1Svb7/XJLS4vRtzZm/v73v8v//d//Lf/5z3+WAcjPPPNM2uc//OEP5aKiIvnZZ5+V33vvPfkLX/iCPGnSJHlwcFC5ZunSpfKcOXPkN998U/7nP/8pT5kyRf7yl7+s85OcnCVLlsi//vWv5Z07d8o7duyQL7zwQnnChAlyX1+fcs0111wj19bWyps2bZLffvtt+ayzzpLPPvts5fNIJCKffvrpckNDg/zuu+/Kf//73+WysjJ57dq1RjzSqDz33HPy3/72N/njjz+W9+zZI//Xf/2X7HQ65Z07d8qybK5nTWXbtm1yXV2dPHv2bPn6669X3jfb8952223yaaedJjc1NSmvtrY25XMzPW9nZ6c8ceJE+YorrpC3bt0qHzhwQH7hhRfkffv2KdeYaa5qbW1N+3fduHGjDEB++eWXZVk217+tWpDAUYkzzzxTvu6665T/jkajck1Njbx+/XoD7yp3PilwYrGYXFVVJf/kJz9R3uvu7pbdbrf8u9/9TpZlWf7oo49kAPJbb72lXPO///u/siRJ8vHjx3W792xobW2VAcivvPKKLMvxZ3M6nfIf/vAH5Zpdu3bJAOQtW7bIshwXhDabTW5ublaueeCBB2SfzycHg0F9HyALiouL5Ycffti0z9rb2ytPnTpV3rhxo/yZz3xGEThmfN7bbrtNnjNnzrCfme15b775ZnnRokUjfm72uer666+XTznlFDkWi5nu31YtyEWlAqFQCNu3b0dDQ4Pyns1mQ0NDA7Zs2WLgnanPwYMH0dzcnPasRUVFqK+vV551y5Yt8Pv9WLBggXJNQ0MDbDYbtm7dqvs9j4Wenh4AQElJCQBg+/btCIfDac87ffp0TJgwIe15Z82ahcrKSuWaJUuWIBAI4MMPP9Tx7sdGNBrFU089hf7+fixcuNC0z3rdddfhoosuSnsuwLz/tnv37kVNTQ0mT56M5cuX48iRIwDM97zPPfccFixYgEsvvRQVFRWYN28eHnroIeVzM89VoVAITzzxBL72ta9BkiTT/duqBQkcFWhvb0c0Gk3rOABQWVmJ5uZmg+5KG9jzjPaszc3NqKioSPvc4XCgpKSE6/aIxWK44YYbcM455+D0008HEH8Wl8sFv9+fdu0nn3e49mCf8cYHH3yAgoICuN1uXHPNNXjmmWcwc+ZMUz7rU089hXfeeQfr168/4TMzPm99fT1+85vfYMOGDXjggQdw8OBBnHvuuejt7TXd8x44cAAPPPAApk6dihdeeAHXXnstvvnNb+Kxxx4DYO656tlnn0V3dzeuuOIKAObsy2pgydPECWI4rrvuOuzcuROvvfaa0beiKdOmTcOOHTvQ09ODP/7xj/jqV7+KV155xejbUp2jR4/i+uuvx8aNG+HxeIy+HV244IILlP8/e/Zs1NfXY+LEifj9738Pr9dr4J2pTywWw4IFC3DnnXcCAObNm4edO3fiwQcfxFe/+lWD705bHnnkEVxwwQWoqakx+la4hiw4KlBWVga73X5CxHpLSwuqqqoMuittYM8z2rNWVVWhtbU17fNIJILOzk5u22P16tV4/vnn8fLLL2P8+PHK+1VVVQiFQuju7k67/pPPO1x7sM94w+VyYcqUKZg/fz7Wr1+POXPm4Oc//7npnnX79u1obW3FGWecAYfDAYfDgVdeeQX33nsvHA4HKisrTfW8w+H3+3Hqqadi3759pvv3ra6uxsyZM9PemzFjhuKSM+tcdfjwYfzjH//AVVddpbxntn9btSCBowIulwvz58/Hpk2blPdisRg2bdqEhQsXGnhn6jNp0iRUVVWlPWsgEMDWrVuVZ124cCG6u7uxfft25ZqXXnoJsVgM9fX1ut/zaMiyjNWrV+OZZ57BSy+9hEmTJqV9Pn/+fDidzrTn3bNnD44cOZL2vB988EHaRLlx40b4fL4TJmAeicViCAaDpnvWxYsX44MPPsCOHTuU14IFC7B8+XLl/5vpeYejr68P+/fvR3V1ten+fc8555wTSjp8/PHHmDhxIgDzzVWMX//616ioqMBFF12kvGe2f1vVMDrK2Sw89dRTstvtln/zm9/IH330kXz11VfLfr8/LWJdFHp7e+V3331Xfvfdd2UA8t133y2/++678uHDh2VZjqde+v1++S9/+Yv8/vvvyxdffPGwqZfz5s2Tt27dKr/22mvy1KlTuUy9vPbaa+WioiJ58+bNaSmYAwMDyjXXXHONPGHCBPmll16S3377bXnhwoXywoULlc9Z+uX5558v79ixQ96wYYNcXl7OZfrlLbfcIr/yyivywYMH5ffff1++5ZZbZEmS5BdffFGWZXM963CkZlHJsvme98Ybb5Q3b94sHzx4UH799dflhoYGuaysTG5tbZVl2VzPu23bNtnhcMg/+MEP5L1798pPPvmknJeXJz/xxBPKNWaaq2Q5np07YcIE+eabbz7hMzP926oFCRwVue++++QJEybILpdLPvPMM+U333zT6FvKipdfflkGcMLrq1/9qizL8fTLW2+9Va6srJTdbre8ePFiec+ePWm/0dHRIX/5y1+WCwoKZJ/PJ69cuVLu7e014GlGZ7jnBCD/+te/Vq4ZHByUv/71r8vFxcVyXl6e/K//+q9yU1NT2u8cOnRIvuCCC2Sv1yuXlZXJN954oxwOh3V+mpPzta99TZ44caLscrnk8vJyefHixYq4kWVzPetwfFLgmO15L7vsMrm6ulp2uVzyuHHj5MsuuyytLozZnvevf/2rfPrpp8tut1uePn26/Ktf/SrtczPNVbIsyy+88IIM4IRnkGXz/duqgSTLsmyI6YggCIIgCEIjKAaHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjTQQKHIAiCIAjT8f8Bo52sWeoxCbcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['Time'], df['u_x~STAHR_Rocket#L~STAHR_Rocket:Earth'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.71343179099667"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(df['mach~STAHR_Rocket'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2       67.885478\n",
       "3       67.885478\n",
       "4       67.885478\n",
       "5       67.885478\n",
       "6       67.885478\n",
       "          ...    \n",
       "1718    68.176453\n",
       "1719    68.176453\n",
       "1720    68.176453\n",
       "1721    68.176453\n",
       "1722    68.176453\n",
       "Name: latitude~STAHR_Rocket#PCPF~Earth@Earth, Length: 1721, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['latitude~STAHR_Rocket#PCPF~Earth@Earth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2       67.750938\n",
       "3       67.750938\n",
       "4       67.750938\n",
       "5       67.750938\n",
       "6       67.750938\n",
       "          ...    \n",
       "1718    68.043314\n",
       "1719    68.043314\n",
       "1720    68.043314\n",
       "1721    68.043314\n",
       "1722    68.043314\n",
       "Name: declination~STAHR_Rocket#PCPF~Earth@Earth, Length: 1721, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['declination~STAHR_Rocket#PCPF~Earth@Earth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2       21.079909\n",
       "3       21.079909\n",
       "4       21.079909\n",
       "5       21.079909\n",
       "6       21.079909\n",
       "          ...    \n",
       "1718    21.081902\n",
       "1719    21.081902\n",
       "1720    21.081902\n",
       "1721    21.081902\n",
       "1722    21.081902\n",
       "Name: longitude~STAHR_Rocket#PCPF~Earth@Earth, Length: 1721, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['longitude~STAHR_Rocket#PCPF~Earth@Earth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1d037afe960>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['altitude~STAHR_Rocket@Earth'] * 1000\n",
    "\n",
    "plt.plot(df['Time'], df['altitude~STAHR_Rocket@Earth'] * 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "318.99999999906896"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.at[2, 'altitude~STAHR_Rocket@Earth'] * 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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Kg8Egvfbmm28KrVYrLBaLEEKIxYsXi0GDBtm975FHHhEpKSnS89GjR4t58+ZJz5uamkR4eLhYtWqVEEIIo9EoPDw8xLZt26SanJwcAUBkZGS0exwmk0kAECaTqd3v6e6qLQ2i/x92iqglO8TpEtcZFxERUbOOfH7Ldk5RRkYGhgwZgtDQUOm1lJQUmM1mnDp1SqpJTk62e19KSgoyMjIA2GajsrKy7GqUSiWSk5OlmqysLDQ0NNjVxMXFITIyUqppjcVigdlstnu4Gi+VO+6IDQIApPEQGhER9XCyhSKDwWAXiABIzw0GQ5s1ZrMZtbW1uHLlCpqamlqtuX4fKpWqxXlN19e0ZtWqVdDpdNIjIiLilsbZ3U0cqAdgO4RGRETUk3UoFC1duhQKhaLNR25urqN67VLLli2DyWSSHkVFRXK35BAT4kOgVAAni80oNtbK3Q4REZFs3DtSvGjRIsyYMaPNmpiYmHbtS6/Xt7hKrPmKML1eL/1741VipaWl0Gq18PT0hJubG9zc3FqtuX4f9fX1MBqNdrNF19e0Rq1WQ61Wt2sszizQR42RUQE4WFCBtFMGzLg9Wu6WiIiIZNGhmaLg4GDExcW1+VCpVO3aV1JSEk6cOGF3lVhaWhq0Wi0GDhwo1aSnp9u9Ly0tDUlJSQAAlUqFhIQEuxqr1Yr09HSpJiEhAR4eHnY1eXl5KCwslGp6Oq5uTURE5MBzigoLC5GdnY3CwkI0NTUhOzsb2dnZqKqqAgBMnDgRAwcOxK9+9SscO3YMn3/+OZ5//nnMmzdPmqGZO3cuzp8/j8WLFyM3Nxf//Oc/8f777+OZZ56Rvs/ChQvxr3/9Cxs3bkROTg6efPJJVFdXY+bMmQAAnU6HWbNmYeHChdi7dy+ysrIwc+ZMJCUlYcyYMY4avlNpDkWZ+RUw1TTI3A0REZFMHHUJ3OOPPy4AtHjs3btXqikoKBD33nuv8PT0FEFBQWLRokWioaHBbj979+4Vw4YNEyqVSsTExIgNGza0+F6vv/66iIyMFCqVSowePVocOHDAbnttba146qmnhL+/v/Dy8hIPPviguHTpUofG44qX5F9v4l/3iaglO8QHR4rkboWIiKjTdOTzWyEEV+1rD7PZDJ1OB5PJBK1WK3c7nW7t7jy8vucs7h2sx5uPJsjdDhERUafoyOc3731GAL6/NH/fd5dR19AkczdERERdj6GIAACDe2kRptOgpr4J3569Inc7REREXY6hiAAACoVCOuGaq1sTEVFPxFBEkuZDaF/klKLJylPNiIioZ2EoIkliTAB8Ne64UlWPo4VX5W6HiIioSzEUkcTDTYkJcSEAuJAjERH1PAxFZOee5hvEnjKAqzUQEVFPwlBEdu4aEAyVmxIF5TU4W1YldztERERdhqGI7Pio3XF7v0AAPIRGREQ9C0MRtTBx0PeH0IiIiHoKhiJqYUJ8CBQK4NhFEwymOrnbISIi6hIMRdRCiK8GIyL9AQBpOTyERkREPQNDEbWqeXVrHkIjIqKegqGIWjXxWijKOFcOU22DzN0QERE5HkMRtSom2Af9QnzQaBX4Mq9M7naIiIgcjqGIbqp5toiX5hMRUU/AUEQ31Xxp/r68y7A0NsncDRERkWMxFNFN3dZLhxBfNaosjcg4Vy53O0RERA7FUEQ3pVQqvr8KjYfQiIjIxTEUUZuaD6GlnS6F1cobxBIRketiKKI2JcUEwlftjsuVFhwtMsrdDhERkcMwFFGbVO5K3B0XAgDYfZoLORIRketiKKIflDKoeXXrUgjBQ2hEROSaGIroB93VPxgqNyXyr1TjbFmV3O0QERE5BEMR/SBfjQdu7xcIgFehERGR62IoonZpvgrtc94gloiIXBRDEbVLcnwoFArg+EUTSoy1crdDRETU6RiKqF2CfdUYGeUPwLZmERERkathKKJ2mziQh9CIiMh1MRRRu028dml+Zn4FrlbXy9wNERFR53JYKPrzn/+MsWPHwsvLC35+fq3WKBSKFo8tW7bY1Xz55ZcYMWIE1Go1+vXrh3fffbfFfv7xj3+gT58+0Gg0SExMxMGDB+2219XVYd68eQgMDISPjw+mTJmC0lIeAuqoqEBvxOl90WQV2JNbJnc7REREncphoai+vh4PP/wwnnzyyTbrNmzYgEuXLkmP1NRUaVt+fj4mT56M8ePHIzs7GwsWLMBvfvMbfP7551LN1q1bsXDhQqxcuRJHjhzB0KFDkZKSgrKy7z+0n3nmGXzyySfYtm0b9u3bh5KSEvz85z/v9DH3BLwKjYiIXJVCOHiJ4nfffRcLFiyA0Whs+c0VCnz44Yd2Qeh6S5YswaeffoqTJ09Kr02dOhVGoxG7du0CACQmJmLUqFF44403AABWqxURERH47W9/i6VLl8JkMiE4OBibN2/GQw89BADIzc1FfHw8MjIyMGbMmHaNw2w2Q6fTwWQyQavVduAn4FpOlZgwed030HgocXT5RHiq3ORuiYiI6KY68vkt+zlF8+bNQ1BQEEaPHo133nnH7jYSGRkZSE5OtqtPSUlBRkYGANtsVFZWll2NUqlEcnKyVJOVlYWGhga7mri4OERGRko11H4Dw7To5eeJugYrvjpzWe52iIiIOo2soeiPf/wj3n//faSlpWHKlCl46qmn8Prrr0vbDQYDQkND7d4TGhoKs9mM2tpaXLlyBU1NTa3WGAwGaR8qlarFeU3X17TGYrHAbDbbPcg2u5fCQ2hEROSCOhSKli5d2urJ0dc/cnNz272/5cuX4/bbb8fw4cOxZMkSLF68GGvWrOnwIBxh1apV0Ol00iMiIkLulrqN5qvQ0nPK0NhklbkbIiKizuHekeJFixZhxowZbdbExMTccjOJiYn405/+BIvFArVaDb1e3+IqsdLSUmi1Wnh6esLNzQ1ubm6t1uj1ttkMvV6P+vp6GI1Gu9mi62tas2zZMixcuFB6bjabGYyuGdUnAAHeKlRU1+NgfgXG9guSuyUiIqIfrUOhKDg4GMHBwY7qBdnZ2fD394darQYAJCUlYefOnXY1aWlpSEpKAgCoVCokJCQgPT1dOlnbarUiPT0d8+fPBwAkJCTAw8MD6enpmDJlCgAgLy8PhYWF0n5ao1arpT7InptSgeT4ELx/+CJ2ny5lKCIiIpfQoVDUEYWFhaioqEBhYSGampqQnZ0NAOjXrx98fHzwySefoLS0FGPGjIFGo0FaWhr+8pe/4Pe//720j7lz5+KNN97A4sWL8etf/xp79uzB+++/j08//VSqWbhwIR5//HGMHDkSo0ePxt///ndUV1dj5syZAACdTodZs2Zh4cKFCAgIgFarxW9/+1skJSW1+8ozamniQL0tFJ0yYOXPBkKhUMjdEhER0Y8jHOTxxx8XAFo89u7dK4QQ4rPPPhPDhg0TPj4+wtvbWwwdOlSsX79eNDU12e1n7969YtiwYUKlUomYmBixYcOGFt/r9ddfF5GRkUKlUonRo0eLAwcO2G2vra0VTz31lPD39xdeXl7iwQcfFJcuXerQeEwmkwAgTCZTh97nqmrrG0X88s9E1JId4ljRVbnbISIialVHPr8dvk6Rq+A6RS09tSkLO08YMH98P/w+ZYDc7RAREbXgVOsUkfPiDWKJiMiVMBTRLRsfFwJ3pQJnyqpw/nKV3O0QERH9KAxFdMt0nh5I6hsIANh9mjfYJSIi58ZQRD8KbxBLRESugqGIfpSJA22rWx8tNKLMXCdzN0RERLeOoYh+lFCtBsMi/ADwEBoRETk3hiL60XiDWCIicgUMRfSjNd8gNuNcOUy1DTJ3Q0REdGsYiuhH6xvsg34hPmi0CnyZVyZ3O0RERLeEoYg6Rcq12aLdp3heEREROSeGIuoUzatbf5lXhrqGJpm7ISIi6jiGIuoUt/XWQa/VoLq+Cd+evSJ3O0RERB3GUESdQqFQSCdc8xAaERE5I4Yi6jTNl+Z/kVOKJquQuRsiIqKOYSiiTjM6OgA6Tw+UV9cj68JVudshIiLqEIYi6jQebkpMiAsBwIUciYjI+TAUUae6/gaxQvAQGhEROQ+GIupUd/UPhsZDiYtXa5FzqVLudoiIiNqNoYg6lafKDXfEBgPgITQiInIuDEXU6XiDWCIickYMRdTpJsSFwE2pQK6hEoXlNXK3Q0RE1C4MRdTp/L1VGN0nAACw+zRni4iIyDkwFJFD8AaxRETkbBiKyCHuuXZe0aELFbhSZZG5GyIioh/GUEQO0cvPE0N66SAE8MVpzhYREVH3x1BEDjNx4LVDaAxFRETkBBiKyGFSBtsOoX1z5gqqLI0yd0NERNQ2hiJymNgQH0QHeaO+yYp9eZflboeIiKhNDEXkMAqFQjqExoUciYiou2MoIodqvkHs3twy1DdaZe6GiIjo5hiKyKGGR/gh2FeNSksjMs6Xy90OERHRTTksFBUUFGDWrFmIjo6Gp6cn+vbti5UrV6K+vt6u7vjx47jjjjug0WgQERGB1atXt9jXtm3bEBcXB41GgyFDhmDnzp1224UQWLFiBcLCwuDp6Ynk5GScOXPGrqaiogLTp0+HVquFn58fZs2ahaqqqs4fONlRKhW4h4fQiIjICTgsFOXm5sJqteKtt97CqVOn8Le//Q3r16/Hc889J9WYzWZMnDgRUVFRyMrKwpo1a/DCCy/g7bfflmr279+PadOmYdasWTh69ChSU1ORmpqKkydPSjWrV6/GunXrsH79emRmZsLb2xspKSmoq6uTaqZPn45Tp04hLS0NO3bswFdffYU5c+Y4avh0neYbxKadLoXVKmTuhoiI6CZEF1q9erWIjo6Wnv/zn/8U/v7+wmKxSK8tWbJEDBgwQHr+i1/8QkyePNluP4mJieKJJ54QQghhtVqFXq8Xa9askbYbjUahVqvFe++9J4QQ4vTp0wKAOHTokFTz2WefCYVCIYqLi9vVu8lkEgCEyWTqwIhJCCEsDU1i8IpdImrJDnG4oELudoiIqAfpyOd3l55TZDKZEBAQID3PyMjAnXfeCZVKJb2WkpKCvLw8XL16VapJTk62209KSgoyMjIAAPn5+TAYDHY1Op0OiYmJUk1GRgb8/PwwcuRIqSY5ORlKpRKZmZmt9mqxWGA2m+0edGtU7kqMjwsBAOzmITQiIuqmuiwUnT17Fq+//jqeeOIJ6TWDwYDQ0FC7uubnBoOhzZrrt1//vpvVhISE2G13d3dHQECAVHOjVatWQafTSY+IiIgOjZfsTRz0/XlFQvAQGhERdT8dDkVLly6FQqFo85Gbm2v3nuLiYkyaNAkPP/wwZs+e3WnNO9KyZctgMpmkR1FRkdwtObW7B4RA5a5EQXkNzpTxBHciIup+3Dv6hkWLFmHGjBlt1sTExEhfl5SUYPz48Rg7dqzdCdQAoNfrUVpqf1+s5ud6vb7Nmuu3N78WFhZmVzNs2DCppqyszG4fjY2NqKiokN5/I7VaDbVa3eY4qf181O4Y1y8Ie3LL8PlJA/qH+srdEhERkZ0OzxQFBwcjLi6uzUfzOULFxcW4++67kZCQgA0bNkCptP92SUlJ+Oqrr9DQ0CC9lpaWhgEDBsDf31+qSU9Pt3tfWloakpKSAADR0dHQ6/V2NWazGZmZmVJNUlISjEYjsrKypJo9e/bAarUiMTGxoz8CukW8QSwREXVnDjunqDkQRUZG4tVXX8Xly5dhMBjszuH55S9/CZVKhVmzZuHUqVPYunUrXnvtNSxcuFCqefrpp7Fr1y6sXbsWubm5eOGFF3D48GHMnz8fgO1WEgsWLMBLL72Ejz/+GCdOnMBjjz2G8PBwpKamAgDi4+MxadIkzJ49GwcPHsS3336L+fPnY+rUqQgPD3fUj4BukDwwFEoFcKLYhGJjrdztEBER2XPUJXAbNmwQAFp9XO/YsWNi3LhxQq1Wi169eomXX365xb7ef/990b9/f6FSqcSgQYPEp59+arfdarWK5cuXi9DQUKFWq8WECRNEXl6eXU15ebmYNm2a8PHxEVqtVsycOVNUVla2ezy8JL9zPPzmfhG1ZIfY8M15uVshIqIeoCOf3woheClQe5jNZuh0OphMJmi1WrnbcVr//vo8Xvo0B0kxgXhvzhi52yEiIhfXkc9v3vuMutTEgbYT2w8WVOBqdf0PVBMREXUdhiLqUpGBXojT+6LJKpCeW/bDbyAiIuoiDEXU5ZrvhcYbxBIRUXfCUERdrjkUfX3mMmrrm2TuhoiIyIahiLpcfJgvevt7oq7Bin3fXZa7HSIiIgAMRSQDhUIhzRbxBrFERNRdMBSRLJpXt07PLUNDk1XmboiIiBiKSCYj+wQg0FsFU20DDuZXyN0OERERQxHJw02pQHK8bbaIV6EREVF3wFBEspk46NoNYk+VggurExGR3BiKSDa39wuCl8oNBnMdjl80yd0OERH1cAxFJBuNhxvuHhAMANh9mofQiIhIXgxFJKvvV7culbkTIiLq6RiKSFbj40Lg4abA2bIqnLtcJXc7RETUgzEUkay0Gg+MiQkEwKvQiIhIXgxFJLtJg22H0HadZCgiIiL5MBSR7FIG6aFUAMcvmlBUUSN3O0RE1EMxFJHsgnzUSIy2HUL77OQlmbshIqKeiqGIuoX7htgOoX16gofQiIhIHgxF1C2kDNZDoQCOFRlx8SoPoRERUddjKKJuIcRXg1F9AgDwhGsiIpIHQxF1G5OHhAEAdp7geUVERNT1GIqo25h07RDakUIjSoy1crdDREQ9DEMRdRuhWg1GRvkD4CE0IiLqegxF1K3cO5iH0IiISB4MRdSt3Hvt0vzDF67CYKqTuRsiIupJGIqoWwnTeWJEpB8AYBcXciQioi7EUETdzn3NV6HxvCIiIupCDEXU7dx7LRQdKqhAmZmH0IiIqGswFFG308vPE0Mj/CAE8PkpzhYREVHXYCiibmmydC80nldERERdw2GhqKCgALNmzUJ0dDQ8PT3Rt29frFy5EvX19XY1CoWixePAgQN2+9q2bRvi4uKg0WgwZMgQ7Ny50267EAIrVqxAWFgYPD09kZycjDNnztjVVFRUYPr06dBqtfDz88OsWbNQVVXlqOHTj9R8af7B/ApcrrTI3A0REfUEDgtFubm5sFqteOutt3Dq1Cn87W9/w/r16/Hcc8+1qP3iiy9w6dIl6ZGQkCBt279/P6ZNm4ZZs2bh6NGjSE1NRWpqKk6ePCnVrF69GuvWrcP69euRmZkJb29vpKSkoK7u+/NRpk+fjlOnTiEtLQ07duzAV199hTlz5jhq+PQjRQR44bbeOlgFr0IjIqIuIrrQ6tWrRXR0tPQ8Pz9fABBHjx696Xt+8YtfiMmTJ9u9lpiYKJ544gkhhBBWq1Xo9XqxZs0aabvRaBRqtVq89957QgghTp8+LQCIQ4cOSTWfffaZUCgUori4uF29m0wmAUCYTKZ21dOP9/a+cyJqyQ7x0Jvfyt0KERE5qY58fnfpOUUmkwkBAQEtXr///vsREhKCcePG4eOPP7bblpGRgeTkZLvXUlJSkJGRAQDIz8+HwWCwq9HpdEhMTJRqMjIy4Ofnh5EjR0o1ycnJUCqVyMzMbLVXi8UCs9ls96Cu9dOhYVAogEMFV1HMe6EREZGDdVkoOnv2LF5//XU88cQT0ms+Pj5Yu3Yttm3bhk8//RTjxo1DamqqXTAyGAwIDQ2121doaCgMBoO0vfm1tmpCQkLstru7uyMgIECqudGqVaug0+mkR0RExC2OnG5VmM4To/rYQvSnx0tk7oaIiFxdh0PR0qVLWz05+vpHbm6u3XuKi4sxadIkPPzww5g9e7b0elBQEBYuXIjExESMGjUKL7/8Mh599FGsWbPmx4/sR1q2bBlMJpP0KCoqkrulHulnQ8MBAB8fYygiIiLHcu/oGxYtWoQZM2a0WRMTEyN9XVJSgvHjx2Ps2LF4++23f3D/iYmJSEtLk57r9XqUlpba1ZSWlkKv10vbm18LCwuzqxk2bJhUU1ZWZrePxsZGVFRUSO+/kVqthlqt/sF+ybHuG6zHCx+fwsliM85frkJMsI/cLRERkYvq8ExRcHAw4uLi2nyoVCoAthmiu+++GwkJCdiwYQOUyh/+dtnZ2XbhJikpCenp6XY1aWlpSEpKAgBER0dDr9fb1ZjNZmRmZko1SUlJMBqNyMrKkmr27NkDq9WKxMTEjv4IqAsF+qgxrl8QAOCTY7wKjYiIHKfDM0Xt1RyIoqKi8Oqrr+Ly5cvStubZmY0bN0KlUmH48OEAgA8++ADvvPMO/v3vf0u1Tz/9NO666y6sXbsWkydPxpYtW3D48GFp1kmhUGDBggV46aWXEBsbi+joaCxfvhzh4eFITU0FAMTHx2PSpEmYPXs21q9fj4aGBsyfPx9Tp05FeHi4o34E1El+NjQc+767jI+PFeN3E/pBoVDI3RIREbkgh4WitLQ0nD17FmfPnkXv3r3ttgkhpK//9Kc/4cKFC3B3d0dcXBy2bt2Khx56SNo+duxYbN68Gc8//zyee+45xMbGYvv27Rg8eLBUs3jxYlRXV2POnDkwGo0YN24cdu3aBY1GI9Vs2rQJ8+fPx4QJE6BUKjFlyhSsW7fOUcOnTpQyKBTPfajEucvVyLlUiYHhWrlbIiIiF6QQ1ycUuimz2QydTgeTyQStlh/KXW3u/8vCrlMGzL2rL5beGyd3O0RE5CQ68vnNe5+RU7h/mO0w5yfHSsAcT0REjsBQRE7hJ3Eh8Fa5odhYiyOFRrnbISIiF8RQRE5B4+GGiYNsJ+h/wjWLiIjIARiKyGncf20hxx3HS9DYZJW5GyIicjUMReQ0xsUGIdBbhStV9fj67BW52yEiIhfDUEROw8NNKZ1w/cGRYpm7ISIiV8NQRE7l58Nta17tPmWAua5B5m6IiMiVMBSRUxncS4vYEB9YGq3YeZy3/SAios7DUERORaFQ4OcjbLNFPIRGRESdiaGInE7q8HAoFMDBggoUltfI3Q4REbkIhiJyOmE6T9zeNwgA8OFRzhYREVHnYCgip/TzEb0AAB8cvcjbfhARUadgKCKnlDJIDy+VGy6U1+BI4VW52yEiIhfAUEROyVvtjkmDbbf9+C9PuCYiok7AUEROa8q1q9B2HCtBXUOTzN0QEZGzYygipzUmJhC9/DxhrmvErpMGudshIiInx1BETstNqcAvRkYAAN47WChzN0RE5OwYisip/WJUbygVQGZ+Bc5drpK7HSIicmIMReTUwnSeuHtACABg66EimbshIiJnxlBETm/qKNshtP9mXUR9o1XmboiIyFkxFJHT+0lcCEJ81Sivrkfa6VK52yEiIifFUEROz91NiYdH2i7P33KIJ1wTEdGtYSgilzB1VCQA4OszV1BUwZvEEhFRxzEUkUuICPDCHbG2m8RytoiIiG4FQxG5jF+Ots0WbTlYxBWuiYiowxiKyGXcMzAUYToNyqvrseP4JbnbISIiJ8NQRC7D3U2JXyVFAQA2fJsPIYTMHRERkTNhKCKXMm1UJNTuSpwqMePwhatyt0NERE6EoYhcir+3Cg8O7wUAePfbAnmbISIip8JQRC5nxu19AAC7ThlQYqyVtxkiInIaDEXkcuL0WiTFBKLJKvD/DlyQux0iInISDg1F999/PyIjI6HRaBAWFoZf/epXKCkpsas5fvw47rjjDmg0GkRERGD16tUt9rNt2zbExcVBo9FgyJAh2Llzp912IQRWrFiBsLAweHp6Ijk5GWfOnLGrqaiowPTp06HVauHn54dZs2ahqop3VXdVzbNF/zlwAZV1DfI2Q0RETsGhoWj8+PF4//33kZeXh//+9784d+4cHnroIWm72WzGxIkTERUVhaysLKxZswYvvPAC3n77balm//79mDZtGmbNmoWjR48iNTUVqampOHnypFSzevVqrFu3DuvXr0dmZia8vb2RkpKCuro6qWb69Ok4deoU0tLSsGPHDnz11VeYM2eOI4dPMronPhR9g71RWdeI/xzgYo5ERNQOogt99NFHQqFQiPr6eiGEEP/85z+Fv7+/sFgsUs2SJUvEgAEDpOe/+MUvxOTJk+32k5iYKJ544gkhhBBWq1Xo9XqxZs0aabvRaBRqtVq89957QgghTp8+LQCIQ4cOSTWfffaZUCgUori4uF29m0wmAUCYTKYOjprksu1wkYhaskMk/ClN1NY3yt0OERHJoCOf3112TlFFRQU2bdqEsWPHwsPDAwCQkZGBO++8EyqVSqpLSUlBXl4erl69KtUkJyfb7SslJQUZGRkAgPz8fBgMBrsanU6HxMREqSYjIwN+fn4YOXKkVJOcnAylUonMzMxW+7VYLDCbzXYPci4PDAtHLz9PXKmyYNvhIrnbISKibs7hoWjJkiXw9vZGYGAgCgsL8dFHH0nbDAYDQkND7eqbnxsMhjZrrt9+/ftuVhMSEmK33d3dHQEBAVLNjVatWgWdTic9IiIiOjRukp+HmxJP3BUDAFi/7zwamqwyd0RERN1Zh0PR0qVLoVAo2nzk5uZK9c8++yyOHj2K3bt3w83NDY899phTrDS8bNkymEwm6VFUxJkGZ/SLkREI8lGh2FiLD48Uy90OERF1Y+4dfcOiRYswY8aMNmtiYmKkr4OCghAUFIT+/fsjPj4eEREROHDgAJKSkqDX61FaWmr33ubner1e+re1muu3N78WFhZmVzNs2DCppqyszG4fjY2NqKiokN5/I7VaDbVa3eY4qfvTeLjhiTv74s87c/D3L77D/cPCofFwk7stIiLqhjo8UxQcHIy4uLg2H9efI3Q9q9V2+MJisQAAkpKS8NVXX6Gh4ftLptPS0jBgwAD4+/tLNenp6Xb7SUtLQ1JSEgAgOjoaer3ersZsNiMzM1OqSUpKgtFoRFZWllSzZ88eWK1WJCYmdvRHQE7mV0lRCNNpUGKqw3+4bhEREd2Ew84pyszMxBtvvIHs7GxcuHABe/bswbRp09C3b18prPzyl7+ESqXCrFmzcOrUKWzduhWvvfYaFi5cKO3n6aefxq5du7B27Vrk5ubihRdewOHDhzF//nwAgEKhwIIFC/DSSy/h448/xokTJ/DYY48hPDwcqampAID4+HhMmjQJs2fPxsGDB/Htt99i/vz5mDp1KsLDwx31I6BuQuPhhgXJsQCAf+w9CzPXLSIiotY46hK448ePi/Hjx4uAgAChVqtFnz59xNy5c8XFixft6o4dOybGjRsn1Gq16NWrl3j55Zdb7Ov9998X/fv3FyqVSgwaNEh8+umndtutVqtYvny5CA0NFWq1WkyYMEHk5eXZ1ZSXl4tp06YJHx8fodVqxcyZM0VlZWW7x8NL8p1bQ2OTGP/qXhG1ZIdY+3mu3O0QEVEX6cjnt0IIJzjruRswm83Q6XQwmUzQarVyt0O34LMTl/DkpiPQeCiRvuhu9PLzlLslIiJysI58fvPeZ9RjTBqsx+g+AahrsOKlHaflboeIiLoZhiLqMRQKBV58YBDclAp8dtKAfd9dlrslIiLqRhiKqEeJD9Pi8aQ+AICVH51EbX2TvA0REVG3wVBEPc4z98QiVKtGQXkN1nyeJ3c7RETUTTAUUY/jq/HAy1NuAwC8820+Ms6Vy9wRERF1BwxF1CONHxCCaaMjAQC/33YMphquXURE1NMxFFGP9YfJ8YgM8EKxsRYLth6F1crVKYiIejKGIuqxfNTuePPREVC7K7E37zJeSz8jd0tERCQjhiLq0QaF6/CXB4cAAF5LP4PtR4tl7oiIiOTCUEQ93pSE3pg1LhqA7fyivbllMndERERyYCgiAvCH++Lx4PBeaLQKPLkpC1/mMRgREfU0DEVEAJRKBVY/dBsmxIWgrsGK32w8jI+PlcjdFhERdSGGIqJrPNyUePPRBNw/NByNVoGntxzFX9O+QxOvSiMi6hEYioiuo3JX4u+PDMOMsX0gBLAu/QxmbDiIUnOd3K0REZGDMRQR3UCpVOCF+wfhb48MhcZDia/PXEHy2n3YlHmBs0ZERC6MoYjoJh4c3hsfzx+HoRF+qLQ04g8fnsTkdV/ji9OlEILhiIjI1SgE/7q3i9lshk6ng8lkglarlbsd6kJNVoGN+wvwty++Q2VdIwCgX4gPHk+Kws9H9Ia32l3mDomI6GY68vnNUNRODEVkrKnH+n3n8f8yClBd3wQA8PRww0/iQnDfkDDc0T8IWo2HzF0SEdH1GIocgKGImpnrGvBB1kX8b8YFnL9SLb3uplRgSC8dxvYNREKUP4b00iFEq5GxUyIiYihyAIYiupEQAieLzdhxogS7T5Ui/7qA1CzEV41B4Vr0DfZBdLA3ooO8ERPkg1CtGgqFQoauiYh6FoYiB2Aooh9SbKxFxrlyZJwrx4liI86WVeFmF6up3ZUI02kQpvNEmJ8G4Tf8q9dqoPP0YHAiIvqRGIocgKGIOqqmvhE5lyqRc8mM/CvVyL9SjfOXq1B0tbZdl/ar3ZUI1doCUqhOg1BfNfQ6DUK1Gun1EK0aGg+3LhgNEZFz6sjnNy+bIXIQL5U7EqL8kRDlb/d6faMVBlMdSky1uGSqRYmxDpdMtbhkrEOxsRYGcx2MNQ2wNFpRWFGDwoqaNr+Pn5eHLTg1ByitGqE6jfRaqFaDQG8VlErOOhERtYWhiKiLqdyViAz0QmSg101r6hqaUGa2wGCug8FchzJzHQym5q+/f72+0QpjTQOMNQ3INVTedH/uSgVCfFuGJb1ObTfzxOUFiKgn419Aom5I4+H2g8FJCAFTbYMtIJnsw1KpqQ6llXUwmCwor7ag0SpQYqpDiant25X4qt0Rom15mM4WoGyzUME+ari7cd1XInI9DEVETkqhUMDPSwU/LxXi9Dc/Tt7QZMXlSsv3YclcB4PZglJz89e216vrm1BpaUTl5Uacu9zySrpmSgUQ5KO2n23y1UizUHqdBqG+Gmg93XmiOBE5FYYiIhfn4aZEuJ8nwv0826yrsjTCcC00XR+WSq/NQJWa61BWaUGTVaCs0oKySgtOFJtuuj+Nh1KaZerl54ne/p7o7e+FXv62r8N0nlC5c8aJiLoPhiIiAgD4qN3RL8QH/UJ8blrTZBUor7ag1GT5PjhdO3xXWmlB6bXznky1DahrsKKgvAYF5a2fKK5QAKG+GvT295SCUi8/r2vhyRbieGUdEXUlhiIiajc3pQIhvhqE+GowBLqb1tU1NElhyWC2XVV38artUXy1Bhev1sLSaJXOgTp84Wqr+wn2Vbc6yxTh74WIAE+o3RmaiKjzMBQRUafTeLghKtAbUYHerW4XQqC8uv5aUKpBcXNgMtqeX7xai5r6JlyutOBypQXZRcYW+1AoAL1Wg8gAL0QGeCEq0AsRAV6ICvRGZIAX/L24+CURdYxDF2+8//77kZ2djbKyMvj7+yM5ORmvvPIKwsPDAQAFBQWIjo5u8b6MjAyMGTNGer5t2zYsX74cBQUFiI2NxSuvvIL77rtP2i6EwMqVK/Gvf/0LRqMRt99+O958803ExsZKNRUVFfjtb3+LTz75BEqlElOmTMFrr70GH5+bHyq4HhdvJOo6QggYaxquBaUaaZapOUQVVtSg5tpNeW/GV+1+LSTZQlPktX+jArwR5qeBB6+gI+oRus2K1n/729+QlJSEsLAwFBcX4/e//z0AYP/+/QC+D0VffPEFBg0aJL0vMDAQHh4eUu2dd96JVatW4ac//Sk2b96MV155BUeOHMHgwYMBAK+88gpWrVqFjRs3Ijo6GsuXL8eJEydw+vRpaDS2G3Lee++9uHTpEt566y00NDRg5syZGDVqFDZv3tyusTAUEXUfzTNNhRU1KCyvkRa5bP7aYG576QE3pQK9/DwRGWCbXeoT6IXoINu96SICvHguE5EL6Tah6EYff/wxUlNTYbFY4OHhIYWio0ePYtiwYa2+55FHHkF1dTV27NghvTZmzBgMGzYM69evhxAC4eHhWLRokRS6TCYTQkND8e6772Lq1KnIycnBwIEDcejQIYwcORIAsGvXLtx33324ePGiNHPVFoYiIudR19CEi1drcOFaSLpQXoOiihpcqLD9a2m03vS9CgUQrvNETLA3+gR6o0+QN6KDvNAn0BaYOMNE5Fy65W0+KioqsGnTJowdO1aaBWp2//33o66uDv3798fixYtx//33S9syMjKwcOFCu/qUlBRs374dAJCfnw+DwYDk5GRpu06nQ2JiIjIyMjB16lRkZGTAz89PCkQAkJycDKVSiczMTDz44IMt+rVYLLBYLNJzs9n8o8ZPRF1H4+GGfiG+6Bfi22Kb9dqSAt/PLlUjv7wGBVeqUXClGpWWRhQbbec3fX3mit173ZQKRPh7ok+QLTA1B6foIG+E+3nCjbdSIXJqDg9FS5YswRtvvIGamhqMGTPGbsbHx8cHa9euxe233w6lUon//ve/SE1Nxfbt26VgZDAYEBoaarfP0NBQGAwGaXvza23VhISE2G13d3dHQECAVHOjVatW4cUXX/wRIyei7kipVECvsy0yOTo6wG6bEAJXqupRUF4t3cS3oPnf8uoblhm4bPdelZvt9i3NYalfsA/6hnijb7AP/LxUXThCIrpVHQ5FS5cuxSuvvNJmTU5ODuLi4gAAzz77LGbNmoULFy7gxRdfxGOPPYYdO3ZAoVAgKCjIbhZo1KhRKCkpwZo1a+xmi+SwbNkyu97MZjMiIiJk7IiIHE2hUCDYV41gXzVG9bEPTFarQGll3bWgVIP8K1XIv1KDgvJqFJbXoL7JirNlVThbVgXk2O830FuFvteFpL4hPugX7MPZJaJupsOhaNGiRZgxY0abNTExMdLXQUFBCAoKQv/+/REfH4+IiAgcOHAASUlJrb43MTERaWlp0nO9Xo/S0lK7mtLSUuj1eml782thYWF2Nc3nKen1epSVldnto7GxERUVFdL7b6RWq6FWq9scJxH1HEqlAmE620rcY/vab2uyCpQYa6XZpfwr1Th3uQrnyqpQYqpDeXU9yqsrcLCgwu59anclooO80TfExxaWgm2hKSbYG14qrphC1NU6/L+64OBgBAcH39I3s1ptJzdef67OjbKzs+3CTVJSEtLT07FgwQLptbS0NClURUdHQ6/XIz09XQpBZrMZmZmZePLJJ6V9GI1GZGVlISEhAQCwZ88eWK1WJCYm3tJYiIiauSkViLh2Jdud/e3/PlZbGnH+8rWQ1PwoswUnS6MVuYZK5BoqW+yzl5/ntbBkC0r9Q33RP5SH4ogcyWH/VyQzMxOHDh3CuHHj4O/vj3PnzmH58uXo27evFGg2btwIlUqF4cOHAwA++OADvPPOO/j3v/8t7efpp5/GXXfdhbVr12Ly5MnYsmULDh8+jLfffhuAbbp7wYIFeOmllxAbGytdkh8eHo7U1FQAQHx8PCZNmoTZs2dj/fr1aGhowPz58zF16tR2XXlGRHSrvNXuGNJbhyG97VcAb7IKXLxag7Nl3welc5ercPZyFYw1DdLJ3l99Z3/uUoivGv1DfREb+n1Qig31hVZjfwELEXWcw0KRl5cXPvjgA6xcuRLV1dUICwvDpEmT8Pzzz9sdlvrTn/6ECxcuwN3dHXFxcdi6dSseeughafvYsWOxefNmPP/883juuecQGxuL7du3S2sUAcDixYtRXV2NOXPmwGg0Yty4cdi1a5e0RhEAbNq0CfPnz8eECROkxRvXrVvnqOETEbXJTamQVv2eEG9/oUhFdb10+O3c5SqcKavCmdIqFBtrpZvxfnPW/sq4MJ0GsaG+6B/iI4Wm2FBf+Kh5GI6ovbp0nSJnxnWKiEhulXUN1wJSJb4rrcJ3pZU4U1rV5mKVvfw80T+0OSj5Ik7vi34hPlygknqMbrt4ozNjKCKi7spU24CzZbaglGeoxJlrX1+ubP38TTelAtFB3ojT+yI+TIs4vS/iwrQI12l4vzhyOQxFDsBQRETOxlhTf92MUiXySm0ndRtrGlqt99W42wKSXou4MNu/A/Q8BEfOjaHIARiKiMgVCGFb0Tvnktl25du1f89drkJDU+sfB5EBXhig90X8tRmlOL0vogK9ucYSOQWGIgdgKCIiV1bfaMX5K1XIvVSJHIMZuZcqkWswo9Tc+iE4jYcS/UN9Ea/XYmC4FoPCtYgP08Kbs0rUzTAUOQBDERH1RBXV9ci9FpLyDLaglFdaibqGljfVVSiAPoHeUkgaFK7DwDAtgn25EC7Jh6HIARiKiIhsmqwCF8qrkXOpEjmXzDh9yYxTJaabziqF+KoxKLx5RkmHQeFaRPh7QcnDb9QFGIocgKGIiKhtV6osOFVixukSW0g6XWJGfnk1WvuU8VW7Iz7MFpSaZ5ZiQ3yhcld2fePk0hiKHIChiIio46otjcg1mHGqxIxTxbZZpTxDJeqbWh5+83BToH+oL4b0sq0APqSXDgP0vlC7c00lunUMRQ7AUERE1Dkamqw4W1Z1bUbp2qzSJTMq6xpb1Hq4KTBA74shvfwwpJcOt/XWoX8oZ5So/RiKHIChiIjIcYQQuHi1FieLTThx3aO1NZVUbkrEhflicC8dbuulw+BrM0oebgxK1BJDkQMwFBERda3moHSi2ITjF004WWzC8YtGmFuZUVK5KxGv95UOuw3p5YfYUB8GJWIocgSGIiIi+QkhUFRRi+PFRtts0kXbjFJrh97U7krEh2kxtLcOQyP8MDTCD9GB3rzqrYdhKHIAhiIiou5JCIEL5TU4Udw8m2TCyZLWg5JW424LSL1tIWlYhB/XUXJxDEUOwFBEROQ8rFaBCxU1OH7RiOMXTThWZJtZsjS2vOqtl58nhkboMLS3LSQN7qXjytwuhKHIARiKiIicW0OTFXmGShy7aER2oRHHLhpxpqyqxTpKSgXQP9QXw64dchva2w/9Q33gzvOTnBJDkQMwFBERuZ4qSyOOXzTiWJFtNim7yAiDua5FnaeHG4b00tlmlCL8MCLSH+F+njJ0TB3FUOQADEVERD2DwVRnm00qMuJYke3wW5Wl5flJeq0GI6JsAWl4pD8G99JyocluiKHIARiKiIh6JqtV4NzlKltIumjE0UIjcg2VaLLaf3yq3JQY3EuLEZH+GBHljxGR/tDrNDJ1Tc0YihyAoYiIiJrV1DfiWJEJRwqv4mjhVRwpNKKiur5FXbhOg+HXAlJClD8Ghmm5GncXYyhyAIYiIiK6GSEECsprcOTCVRy5FpLyDGbcMJkEtbsSQ3rprs0k2Q69hWg5m+RIDEUOwFBEREQdUWVpxPEioxSSjhRebfW2Jb38PDGyjz9G9gnAqD7+6B/iywUmOxFDkQMwFBER0Y8hhED+lWocKTQi64LtsFteaWWLJQF8Ne5IiPLHqD4BGBnlj6ERftB48ATuW8VQ5AAMRURE1Nkq6xpwrMiEwxcqkHXhKo5cuIrq+ia7Gg83BYb00tlCUp8AJET5I8BbJVPHzoehyAEYioiIyNEam6zINVTiUEEFDhdcxcGCClyutLSo6xfig5FR3x9yiwzwgkLBQ26tYShyAIYiIiLqas03wD1UUIHDFypwqOAqzpZVtagL9lVjVB9/jIwKwKg+AYgP8+UK3NcwFDkAQxEREXUHFdX1yLpwFYcLKnCooAInik1oaLL/KPdSuSEhyh+J0QFIjAnEbb11PXZhSYYiB2AoIiKi7qiuoQnHiow4fC0oHb5wFZV19itwq92VGBHpj9HRAUiMCcCISP8ec/I2Q5EDMBQREZEzsFoF8korkXm+HJn5FTiYX4HyGxaWVLkpMTRCZwtJ0YFIiPKHt9pdpo4di6HIARiKiIjIGQlhu03JgfO2gJSZX45Ss/3J2+5KBQb30iExJgCJ0bar3LQaD5k67lwMRQ7AUERERK5ACIEL5TXIzLfNJGWer0CxsdauRqkABoZrkRgdiMToAIyODoCfl3MuA8BQ5AAMRURE5KouXq1B5nnbLNLB/AoUlNe0qInT+yKpbyDG9g3C6OgA6DydYyapI5/fXXK9nsViwbBhw6BQKJCdnW237fjx47jjjjug0WgQERGB1atXt3j/tm3bEBcXB41GgyFDhmDnzp1224UQWLFiBcLCwuDp6Ynk5GScOXPGrqaiogLTp0+HVquFn58fZs2ahaqqlpc1EhER9TS9/b0wJaE3Vj80FF8+Ox4Hlk3Aa1OHYXpiJPqF+AAAcg2V2PBtAWb/72EM/+Nu3P/GN1i1Mwdf5pWh2tL4A9/BOXTJWVWLFy9GeHg4jh07Zve62WzGxIkTkZycjPXr1+PEiRP49a9/DT8/P8yZMwcAsH//fkybNg2rVq3CT3/6U2zevBmpqak4cuQIBg8eDABYvXo11q1bh40bNyI6OhrLly9HSkoKTp8+DY3GdqO96dOn49KlS0hLS0NDQwNmzpyJOXPmYPPmzV3xIyAiInIaep0GDwzrhQeG9QIAXKmyIPN8Bfafu4KM8+U4f7kaxy+acPyiCW99dR7uSgWGRvhhbN9AJMUEYkSUc17d5vDDZ5999hkWLlyI//73vxg0aBCOHj2KYcOGAQDefPNN/OEPf4DBYIBKZTtWuXTpUmzfvh25ubkAgEceeQTV1dXYsWOHtM8xY8Zg2LBhWL9+PYQQCA8Px6JFi/D73/8eAGAymRAaGop3330XU6dORU5ODgYOHIhDhw5h5MiRAIBdu3bhvvvuw8WLFxEeHv6D4+DhMyIiIhuDqQ4Z568g41w59p8rx8Wr9uckqdyVGBHph7F9g5DUNxBDe/tB5S7PYpId+fx26ExRaWkpZs+eje3bt8PLy6vF9oyMDNx5551SIAKAlJQUvPLKK7h69Sr8/f2RkZGBhQsX2r0vJSUF27dvBwDk5+fDYDAgOTlZ2q7T6ZCYmIiMjAxMnToVGRkZ8PPzkwIRACQnJ0OpVCIzMxMPPvhgi94sFgsslu/Pzjebzbf8cyAiInIlep0GDw7vjQeH9wYAFFXUIONcOTLOl2P/uSsoNVtw4HwFDpyvANIATw83jOzjj7F9gzC2byAGhWu75YrbDgtFQgjMmDEDc+fOxciRI1FQUNCixmAwIDo62u610NBQaZu/vz8MBoP02vU1BoNBqrv+fTerCQkJsdvu7u6OgIAAqeZGq1atwosvvtjO0RIREfVcEQFeiAjwwi9GRUAIgfwr1dh/LSQdOFeO8up6fH3mCr4+cwUA4Kt2R2JMAJL6BuH2foEYEOrbLe7d1uFQtHTpUrzyyitt1uTk5GD37t2orKzEsmXLbrk5OS1btsxuhspsNiMiIkLGjoiIiLo/hUKBmGAfxAT74NExUbBaBb4rq5QOtWWeL4e5rhFf5JThi5wyAECQjwpj+wbh7gHB+PmI3rL13uFQtGjRIsyYMaPNmpiYGOzZswcZGRlQq9V220aOHInp06dj48aN0Ov1KC0ttdve/Fyv10v/tlZz/fbm18LCwuxqms9d0uv1KCsrs9tHY2MjKioqpPffSK1Wt+idiIiIOkapVCBOr0WcXouZt0ejySpwusSM/eeu4Ntz5TiUX4ErVfX4+FgJyirrnCsUBQcHIzg4+Afr1q1bh5deekl6XlJSgpSUFGzduhWJiYkAgKSkJPzhD39AQ0MDPDxs6x2kpaVhwIAB8Pf3l2rS09OxYMECaV9paWlISkoCAERHR0Ov1yM9PV0KQWazGZmZmXjyySelfRiNRmRlZSEhIQEAsGfPHlitVqkXIiIicjw3pQJDeuswpLcOT9zVF5bGJhwtNGL/2SvoE+Qtb3Oii+Tn5wsA4ujRo9JrRqNRhIaGil/96lfi5MmTYsuWLcLLy0u89dZbUs23334r3N3dxauvvipycnLEypUrhYeHhzhx4oRU8/LLLws/Pz/x0UcfiePHj4sHHnhAREdHi9raWqlm0qRJYvjw4SIzM1N88803IjY2VkybNq3d/ZtMJgFAmEymH/eDICIioi7Tkc9vWe/+ptPpsHv3bsybNw8JCQkICgrCihUrpDWKAGDs2LHYvHkznn/+eTz33HOIjY3F9u3bpTWKANs6SNXV1ZgzZw6MRiPGjRuHXbt2SWsUAcCmTZswf/58TJgwAUqlElOmTMG6deu6dLxERETUffE2H+3EdYqIiIicT7e7zQcRERFRd8dQRERERASGIiIiIiIADEVEREREABiKiIiIiAAwFBEREREBYCgiIiIiAsBQRERERASAoYiIiIgIAEMREREREQCGIiIiIiIAgKw3hHUmzbeIM5vNMndCRERE7dX8ud2eW70yFLVTZWUlACAiIkLmToiIiKijKisrodPp2qxRiPZEJ4LVakVJSQl8fX2hUCg6dd9msxkREREoKir6wTv4uoKeNN6eNFaA43V1HK/rcuWxCiFQWVmJ8PBwKJVtnzXEmaJ2UiqV6N27t0O/h1ardbn/GNvSk8bbk8YKcLyujuN1Xa461h+aIWrGE62JiIiIwFBEREREBIChqFtQq9VYuXIl1Gq13K10iZ403p40VoDjdXUcr+vqSWNtC0+0JiIiIgJnioiIiIgAMBQRERERAWAoIiIiIgLAUEREREQEgKFIdv/4xz/Qp08faDQaJCYm4uDBg3K3dEu++uor/OxnP0N4eDgUCgW2b99ut10IgRUrViAsLAyenp5ITk7GmTNn7GoqKiowffp0aLVa+Pn5YdasWaiqqurCUbTPqlWrMGrUKPj6+iIkJASpqanIy8uzq6mrq8O8efMQGBgIHx8fTJkyBaWlpXY1hYWFmDx5Mry8vBASEoJnn30WjY2NXTmUdnnzzTdx2223SYu6JSUl4bPPPpO2u9JYW/Pyyy9DoVBgwYIF0muuNOYXXngBCoXC7hEXFydtd6WxAkBxcTEeffRRBAYGwtPTE0OGDMHhw4el7a70t6pPnz4tfrcKhQLz5s0D4Hq/204hSDZbtmwRKpVKvPPOO+LUqVNi9uzZws/PT5SWlsrdWoft3LlT/OEPfxAffPCBACA+/PBDu+0vv/yy0Ol0Yvv27eLYsWPi/vvvF9HR0aK2tlaqmTRpkhg6dKg4cOCA+Prrr0W/fv3EtGnTungkPywlJUVs2LBBnDx5UmRnZ4v77rtPREZGiqqqKqlm7ty5IiIiQqSnp4vDhw+LMWPGiLFjx0rbGxsbxeDBg0VycrI4evSo2LlzpwgKChLLli2TY0ht+vjjj8Wnn34qvvvuO5GXlyeee+454eHhIU6ePCmEcK2x3ujgwYOiT58+4rbbbhNPP/209LorjXnlypVi0KBB4tKlS9Lj8uXL0nZXGmtFRYWIiooSM2bMEJmZmeL8+fPi888/F2fPnpVqXOlvVVlZmd3vNS0tTQAQe/fuFUK41u+2szAUyWj06NFi3rx50vOmpiYRHh4uVq1aJWNXP96NochqtQq9Xi/WrFkjvWY0GoVarRbvvfeeEEKI06dPCwDi0KFDUs1nn30mFAqFKC4u7rLeb0VZWZkAIPbt2yeEsI3Nw8NDbNu2TarJyckRAERGRoYQwhYilUqlMBgMUs2bb74ptFqtsFgsXTuAW+Dv7y/+/e9/u/RYKysrRWxsrEhLSxN33XWXFIpcbcwrV64UQ4cObXWbq411yZIlYty4cTfd7up/q55++mnRt29fYbVaXe5321l4+Ewm9fX1yMrKQnJysvSaUqlEcnIyMjIyZOys8+Xn58NgMNiNVafTITExURprRkYG/Pz8MHLkSKkmOTkZSqUSmZmZXd5zR5hMJgBAQEAAACArKwsNDQ12442Li0NkZKTdeIcMGYLQ0FCpJiUlBWazGadOnerC7jumqakJW7ZsQXV1NZKSklx6rPPmzcPkyZPtxga45u/3zJkzCA8PR0xMDKZPn47CwkIArjfWjz/+GCNHjsTDDz+MkJAQDB8+HP/617+k7a78t6q+vh7/+c9/8Otf/xoKhcLlfredhaFIJleuXEFTU5Pdf2wAEBoaCoPBIFNXjtE8nrbGajAYEBISYrfd3d0dAQEB3frnYbVasWDBAtx+++0YPHgwANtYVCoV/Pz87GpvHG9rP4/mbd3NiRMn4OPjA7Vajblz5+LDDz/EwIEDXXKsALBlyxYcOXIEq1atarHN1cacmJiId999F7t27cKbb76J/Px83HHHHaisrHS5sZ4/fx5vvvkmYmNj8fnnn+PJJ5/E7373O2zcuBGAa/+t2r59O4xGI2bMmAHA9f477izucjdA5MzmzZuHkydP4ptvvpG7FYcaMGAAsrOzYTKZ8H//9394/PHHsW/fPrnbcoiioiI8/fTTSEtLg0ajkbsdh7v33nulr2+77TYkJiYiKioK77//Pjw9PWXsrPNZrVaMHDkSf/nLXwAAw4cPx8mTJ7F+/Xo8/vjjMnfnWP/zP/+De++9F+Hh4XK30q1xpkgmQUFBcHNza3Gmf2lpKfR6vUxdOUbzeNoaq16vR1lZmd32xsZGVFRUdNufx/z587Fjxw7s3bsXvXv3ll7X6/Wor6+H0Wi0q79xvK39PJq3dTcqlQr9+vVDQkICVq1ahaFDh+K1115zybFmZWWhrKwMI0aMgLu7O9zd3bFv3z6sW7cO7u7uCA0NdbkxX8/Pzw/9+/fH2bNnXe73GxYWhoEDB9q9Fh8fLx0udNW/VRcuXMAXX3yB3/zmN9Jrrva77SwMRTJRqVRISEhAenq69JrVakV6ejqSkpJk7KzzRUdHQ6/X243VbDYjMzNTGmtSUhKMRiOysrKkmj179sBqtSIxMbHLe26LEALz58/Hhx9+iD179iA6Otpue0JCAjw8POzGm5eXh8LCQrvxnjhxwu6Pa1paGrRabYs/2t2R1WqFxWJxybFOmDABJ06cQHZ2tvQYOXIkpk+fLn3tamO+XlVVFc6dO4ewsDCX+/3efvvtLZbP+O677xAVFQXA9f5WNduwYQNCQkIwefJk6TVX+912GrnP9O7JtmzZItRqtXj33XfF6dOnxZw5c4Sfn5/dmf7OorKyUhw9elQcPXpUABB//etfxdGjR8WFCxeEELbLXP38/MRHH30kjh8/Lh544IFWL3MdPny4yMzMFN98842IjY3tlpe5Pvnkk0Kn04kvv/zS7nLXmpoaqWbu3LkiMjJS7NmzRxw+fFgkJSWJpKQkaXvzpa4TJ04U2dnZYteuXSI4OLhbXuq6dOlSsW/fPpGfny+OHz8uli5dKhQKhdi9e7cQwrXGejPXX30mhGuNedGiReLLL78U+fn54ttvvxXJyckiKChIlJWVCSFca6wHDx4U7u7u4s9//rM4c+aM2LRpk/Dy8hL/+c9/pBpX+lslhO2q5sjISLFkyZIW21zpd9tZGIpk9vrrr4vIyEihUqnE6NGjxYEDB+Ru6Zbs3btXAGjxePzxx4UQtktdly9fLkJDQ4VarRYTJkwQeXl5dvsoLy8X06ZNEz4+PkKr1YqZM2eKyspKGUbTttbGCUBs2LBBqqmtrRVPPfWU8Pf3F15eXuLBBx8Uly5dsttPQUGBuPfee4Wnp6cICgoSixYtEg0NDV08mh/261//WkRFRQmVSiWCg4PFhAkTpEAkhGuN9WZuDEWuNOZHHnlEhIWFCZVKJXr16iUeeeQRu3V7XGmsQgjxySefiMGDBwu1Wi3i4uLE22+/bbfdlf5WCSHE559/LgC0GIMQrve77QwKIYSQZYqKiIiIqBvhOUVEREREYCgiIiIiAsBQRERERASAoYiIiIgIAEMREREREQCGIiIiIiIADEVEREREABiKiIiIiAAwFBEREREBYCgiIiIiAsBQRERERASAoYiIiIgIAPD/AT19FHk0yv4KAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "z_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vx_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vy_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vz_FL\n"
     ]
    },
    {
     "data": {
      "image/png": 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RZgAAeowwEyINnvZA6AhGmCnKTlNyolVNre3ae6Sh168HAEC8IMyEiL9XJslmVXJi73/MNqtFF+ZRNwMAwPEIMyHiauxcMM9iCc5O18X5vsXzqJsBAKATYSZEOutlEoL2mv66mS2VhBkAAPwIMyESzOJfv84ZTSycBwCAH2EmRIK5xozfiI4wU+Vu1tEGT9BeFwCAWEaYCZFQ9Myk2xM0pH+qJOpmAADwI8yESCjCjETdDAAAxyPMhEiowgwrAQMA0B1hJkTczZ1Ts4Mp0DNDmAEAQBJhJmT8BcCO5CD3zHRsOLmzpl4tbe1BfW0AAGIRYSZE6prbJEkZycFbZ0aSCpzJcqYkqs1rtKO6PqivDQBALCLMhEhnmAluz4zFYtFIVgIGACCAMBMidR01M8HumZGk4nynJGkzM5oAACDMhEqohpkkaVQB07MBAPAjzISA12tU7wnNMJMkjR7o75lxyes1QX99AABiCWEmBOo9bTIdGSMUPTPDBqTJnmBVg6dde440BP31AQCIJYSZEPAPMSXZrEpOtAX99RNs1sDiedTNAAD6OsJMCISy+Ndv9EBfmNlU6QrZewAAEAsIMyEQyuJfv1EFHXUzB+iZAQD0bYSZEOjsmQl+8a/f6I4ws6nSJWMoAgYA9F2EmRDw98w4UkLXM3NBXroSrBbVNrbqQG1TyN4HAIBoR5gJAbd/mMkeup4Ze4JNF+T6VgLexFATAKAPI8yEQDgKgKXOIuAtFAEDAPowwkwIuJtCt2BeV6MCdTP0zAAA+i7CTAiEu2dm0wF6ZgAAfRdhJgTCMTVbkkbmO2SxSDV1LapxN4f0vQAAiFaEmRDw98w4QjzMlJqUoGED0iWxEjAAoO8izIRAuHpmpM4dtDdTBAwA6KMIMyHQGWZC2zMjdVk8j+nZAIA+ijATAuEqAJakUezRBADo4wgzIRDeYSZfz8z+Y02qbfSE/P0AAIg2hJkg83qN6j3hG2ZypiRqcL9USRQBAwD6JsJMkNV72uTf9zEcPTNSZxEw680AAPoiwkyQ+YeYkhKsSk60heU9Rw/0DTXRMwMA6IsIM0HWucZMeHplpC49MxQBAwD6IMJMkIVzWrafvwh49+EG1be0he19AQCIBoSZIAvntGy/ARl25TmSZYy09SBDTQCAvoUwE2T+npl0e/jCjEQRMACg7wpbmPn5z38ui8Wiu+66K/Bcc3OzZs2apf79+ys9PV3Tpk1TdXV1t+v27dunKVOmKDU1VTk5Obr33nvV1ha9Qyn+YZ6whxmKgAEAfVRYwszq1av1+9//XmPGjOn2/Pe+9z29/vrrevnll7V8+XJVVlbqS1/6UuB4e3u7pkyZIo/How8++EALFy7Us88+q7lz54aj2eekoSPMpIU5zIymZwYA0EeFPMzU19dr+vTpeuqpp5SVlRV43uVy6emnn9ajjz6qz33ucxo/fryeeeYZffDBB1qxYoUk6e2339aWLVv03HPPady4cbr22mv1k5/8RE888YQ8nuhc7bahpV2SlGYPz7RsP//07B019WpubQ/rewMAEEkhDzOzZs3SlClTVFZW1u35tWvXqrW1tdvzI0aM0ODBg1VeXi5JKi8vV0lJiXJzcwPnTJ48WW63W5s3bz7le7a0tMjtdnd7hEukembyncnqn5akdq+hCBgA0KeENMy8+OKLWrdunebNm3fCsaqqKiUlJSkzM7Pb87m5uaqqqgqc0zXI+I/7j53KvHnz5HQ6A4/CwsJe3knPNXRsZZCeFN4wY7FYAr0zDDUBAPqSkIWZiooK3XnnnXr++eeVnJwcqrc5qTlz5sjlcgUeFRUVYXvv+o5hptQw98xIUklHmNlImAEA9CEhCzNr165VTU2NLr74YiUkJCghIUHLly/XY489poSEBOXm5srj8ai2trbbddXV1crLy5Mk5eXlnTC7yf+9/5yTsdvtcjgc3R7h0hCYzRTemhmps25mw37CDACg7whZmLnqqqu0ceNGrV+/PvCYMGGCpk+fHvg6MTFRS5cuDVyzbds27du3T6WlpZKk0tJSbdy4UTU1NYFzlixZIofDoeLi4lA1vVciVTMjSSWDKAIGAPQ9IfvEzcjI0OjRo7s9l5aWpv79+weenzFjhu6++27169dPDodD3/nOd1RaWqrLLrtMknT11VeruLhYX/va1/TII4+oqqpK999/v2bNmiW73R6qpveKv2YmEmGmoKMI+EiDR1sPunXR4KwzXwQAQIyL6ArAv/nNb3T99ddr2rRpuvLKK5WXl6e//vWvgeM2m02LFi2SzWZTaWmpbr75Zn3961/Xj3/84wi2+vT8U7PDvWieRBEwAKBvCusn7rvvvtvt++TkZD3xxBN64oknTnnNkCFD9MYbb4S4ZcHjXwE4NSn8NTOSrwh4+fZDFAEDAPoM9mYKsoYIbWfgRxEwAKCvIcwEkddr1OjxrwAcmTAzhiJgAEAfQ5gJosYu4SFSPTOsBAwA6GsIM0HkH2KyWiR7QmR+tBQBAwD6GsJMENV3WWPGYrFErB0l1M0AAPoQwkwQNUZwWnZX/sXzmNEEAOgLCDNBVB/B1X+78vfMUAQMAOgLCDNBFNjKIEJrzPhRBAwA6EsIM0EUya0MuupaBMxQEwAg3hFmgihahpmkzvVmNlIEDACIc4SZIIqWAmBJ9MwAAPoMwkwQRXpfpq4oAgYA9BWEmSCK9L5MXVEEDADoKwgzQRQtBcCSrwiY9WYAAH0BYSaI6lsiu8nk8fxDTRQBAwDiGWEmiBoDw0yRr5mRKAIGAPQNhJkg6iwAjq6eGYqAAQDxjDATRP6amWgoAJa6FwFvoQgYABCnCDNB1BBlNTNdi4A3MdQEAIhThJkg6lwBODpqZiSKgAEA8Y8wE0SNgY0mo6NnRqIIGAAQ/wgzQeL1GjV4omuYSaIIGAAQ/wgzQdLYJShESwGw5CsCzk6nCBgAEL8IM0Hi38rAapGSE6Pnx2qxWAJDTRQBAwDiUfR86sa4hi71MhaLJcKt6Y4iYABAPCPMBEljR71MahTNZPKjCBgAEM8IM0ESCDNRNJPJb8wgioABAPGLMBMkTR0hISUx+npm8hwUAQMA4hdhJkiaOrYySEmKvjBDETAAIJ4RZoLE3zOTGoVhRqIIGAAQvwgzQeKvmUmOwmEmqUuYoWcGABBnCDNB0uSJ8p4ZioABAHGKMBMk0R5mKAIGAMQrwkyQ+LcziNZhJoqAAQDxijATJNHeMyNJYygCBgDEIcJMkPjDTDSuM+PHSsAAgHhEmAmSwKJ5UbgCsB9FwACAeESYCZLGGOiZoQgYABCPCDNB0hzli+ZJFAEDAOITYSZIGju2M4jW2Ux+/iLgDRQBAwDiBGEmSJpavZKiu2dGkkoGZUqiZwYAED8IM0ESzRtNdjWmowh4e3VdYAYWAACxjDATJIHZTFE+zJTrSNaADLu8RtpykN4ZAEDsI8wESWA2U5T3zEjUzQAA4gthJkhiYTaTn3+9GRbPAwDEA8JMELS2e9XabiRF/zCT1Fk3w7YGAIB4QJgJgqYuq+nGwjCTf62ZnYfq1dDSFuHWAADQO4SZIPDPCrJapCRb9P9IczKSle9MljHS5kpWAgYAxLbo/+SNAZ07ZifIYrFEuDU9MzpQBFwb2YYAANBLIQ0z8+bN0yWXXKKMjAzl5ORo6tSp2rZtW7dzmpubNWvWLPXv31/p6emaNm2aqquru52zb98+TZkyRampqcrJydG9996rtrboGR7xz2SK9tV/uxrDDtoAgDgR0jCzfPlyzZo1SytWrNCSJUvU2tqqq6++Wg0NDYFzvve97+n111/Xyy+/rOXLl6uyslJf+tKXAsfb29s1ZcoUeTweffDBB1q4cKGeffZZzZ07N5RNPytNMTSTyY8ZTQCAeJEQyhdfvHhxt++fffZZ5eTkaO3atbryyivlcrn09NNP64UXXtDnPvc5SdIzzzyjkSNHasWKFbrsssv09ttva8uWLfrHP/6h3NxcjRs3Tj/5yU/0gx/8QA899JCSkpJCeQs90jnMFENhpqNnZtehBtU1tyojOTHCLQIA4NyEtWbG5fL1AvTr10+StHbtWrW2tqqsrCxwzogRIzR48GCVl5dLksrLy1VSUqLc3NzAOZMnT5bb7dbmzZtP+j4tLS1yu93dHqEUK5tMdtU/3a6BmSmSpE0HKAIGAMSusIUZr9eru+66S5MmTdLo0aMlSVVVVUpKSlJmZma3c3Nzc1VVVRU4p2uQ8R/3HzuZefPmyel0Bh6FhYVBvpvuYnGYSeqy3syB2sg2BACAXghbmJk1a5Y2bdqkF198MeTvNWfOHLlcrsCjoqIipO/nH2aKhQXzuhrNtgYAgDgQ0poZv9mzZ2vRokV67733NGjQoMDzeXl58ng8qq2t7dY7U11drby8vMA5q1at6vZ6/tlO/nOOZ7fbZbfbg3wXpxbYZDJme2YIMwCA2BXSnhljjGbPnq1XXnlFy5YtU1FRUbfj48ePV2JiopYuXRp4btu2bdq3b59KS0slSaWlpdq4caNqamoC5yxZskQOh0PFxcWhbH6PNcZoz4y/CHjvkUa5Glsj3BoAAM5NSHtmZs2apRdeeEGvvfaaMjIyAjUuTqdTKSkpcjqdmjFjhu6++27169dPDodD3/nOd1RaWqrLLrtMknT11VeruLhYX/va1/TII4+oqqpK999/v2bNmhXW3pfTiaVNJrvKTE3S4H6p2ne0UZsqXZp0fnakmwQAwFkLac/M/Pnz5XK59JnPfEb5+fmBx0svvRQ45ze/+Y2uv/56TZs2TVdeeaXy8vL017/+NXDcZrNp0aJFstlsKi0t1c0336yvf/3r+vGPfxzKpp+VwKJ5MRZmpM71ZqibAQDEqpD2zBhjznhOcnKynnjiCT3xxBOnPGfIkCF64403gtm0oArMZkoMSwlSUI0Z6NTfNxxkRhMAIGaxN1MQBGYzJcXej7OEGU0AgBgXe5++UagzzMRez8yojjCz/1iTjjV4ItwaAADOHmEmCBpbY3M2kyQ5UxJVlJ0miSnaAIDYRJgJguYY3JupqxJ20AYAxDDCTBA0tvr2ZorFnhmpc/G8DftrI9sQAADOAWEmCDprZmIzzAR6ZigCBgDEIMJMEMTq3kx+owY6ZbFIla5mHapriXRzAAA4K4SZIIjVXbP90u0JOq+jCHgTdTMAgBhDmAmCwArAMdozI0ljBmVKoggYABB7CDO95PUatbR5JcVuz4zE4nkAgNhFmOkl/xCTJKXG4KJ5fv4ZTWxrAACINYSZXuoaZuwJsfvjLC5wyGqRqt0tqnY3R7o5AAD0WOx++kaJpkC9jFVWqyXCrTl3qUkJOj8nXRJTtAEAsYUw00udM5lid4jJr2RgpiRpA0XAAIAYQpjppcYYX2OmK3/dDNOzAQCxhDDTS7G++m9XJYM6ZzQZYyLcGgAAeoYw00vNMbxj9vGK8x2yWS06XN+iKoqAAQAxgjDTS/E0zJScaNMFuRmSWG8GABA7CDO95C8AjodhJkkqGeiQxIwmAEDsIMz0UpOnTVJ89MxIUknHtgbMaAIAxArCTC/F+iaTxxszsHNGE0XAAIBYQJjppSaPb1+m5DgJMyPyM5Ros+hog0cHapsi3RwAAM6IMNNLja2+YabUOBlmsifYdGGerwiYuhkAQCwgzPRScxytM+PHSsAAgFhCmOmlxsDeTPEUZjp20KZnBgAQAwgzvRRvBcBS57YGGykCBgDEAMJMLzXF0aJ5fhfkZijJZpWrqVUVRykCBgBEN8JML8XbonmSlJRg1cj8jpWAD9RGtjEAAJwBYaaXmuJob6au/JtOUjcDAIh2hJleiqdds7sa45/RRJgBAEQ5wkwvxWMBsCSN7rISsNdLETAAIHoRZnopHqdmS9Lw3HTZE6yqa2nTniMNkW4OAACnRJjpJf+iealJCRFuSXAl2qwqLujYQZvF8wAAUYww0wvGGDXGaQGw1LnpJEXAAIBoRpjphdZ2o/aOepJ4KwCWpJJBmZLY1gAAEN0IM73gL/6V4rRnpmN69uYDrkBoAwAg2hBmesE/LdtmtSjRZolwa4Jv2IB0pSTa1OBp1+7D9ZFuDgAAJ0WY6YXAtOxEmyyW+AszNqtFozqKgFlvBgAQrQgzvdDoaZMkJcdhvYxfSZdNJwEAiEaEmV5ojtMF87oaw7YGAIAoR5jphSaPV1J8Fv/6lXRsa7C50q22dm9kGwMAwEkQZnohMMwUx2HmvOw0pSXZ1NTark8OsRIwACD6EGZ6IV73ZerKarUE9mnasL82so0BAOAkCDO9ENgxO457ZiSpZCBFwACA6EWY6QV/z0w8rv7bFTOaAADRjDDTC419pGdmTMe2Blsq3WqlCBgAEGUIM73gLwBOs8fXjtnHG9IvVRnJCWpp82pHNSsBAwCiC2GmFxpafD0zafb47pmxWi1d6mZqI9sYAACOQ5jphYYWX89MalJ898xInXUzbGsAAIg2hJle8NfMpMf5MJPUOaNpE0XAAIAoEzNh5oknntDQoUOVnJysiRMnatWqVZFukuoDPTPxPcwkSWM6VgLeerBOnjaKgAEA0SMmwsxLL72ku+++Ww8++KDWrVunsWPHavLkyaqpqYlou/zDTH2hZ6awX4qcKYnytHu1vbou0s0BACAgJsLMo48+qttuu0233nqriouLtWDBAqWmpuqPf/xjRNu1Zu8xSVJqHwgzFoslsOkkdTMAgGgS9WHG4/Fo7dq1KisrCzxntVpVVlam8vLyk17T0tIit9vd7RFKGcnxH2YkMaMJABCVoj7MHD58WO3t7crNze32fG5urqqqqk56zbx58+R0OgOPwsLCkLRt8qhc3TihUGM6PuTjHT0zAIBoFPVh5lzMmTNHLpcr8KioqAjJ+/z+axP0iy+PUYItLn+MJ/BvOLm9uk7NHVs5AAAQaVE/PpKdnS2bzabq6upuz1dXVysvL++k19jtdtnt9nA0r08ZmJmifmlJOtrg0baqOo0tzIx0kwAAiP6emaSkJI0fP15Lly4NPOf1erV06VKVlpZGsGV9j8XSuRLwBtabAQBEiagPM5J0991366mnntLChQu1detW3XHHHWpoaNCtt94a6ab1Of66mY37ayPbEAAAOkT9MJMk3XjjjTp06JDmzp2rqqoqjRs3TosXLz6hKBihF+iZoQgYABAlYiLMSNLs2bM1e/bsSDejzxszKFOStKOmXs2t7UpOjP/VjwEg3IwxMkbyGiOvkYy6f+81Rsbb8a/8zx93jTnJNYFjJ7/G/73p8n3Xc47/t+s1n7lwQMQ+E2ImzCA65Drsyk6363B9i7YcdOviwVmRbhKAXjLGaNMBt442euT1mpN++J3+g8z/3InXnO5D9bTX+D+8vSf5IFbn63q9x72PTvLh7T3umlO27cRzTvxg939/+g/2U14j3z2d9Bp1/z7WrP5RGWEGscG/EvCyj2u0cb+LMAOcBVdTq1bsOqLaRo9a2rxqazeBD9F2/4ey16jd/yHXESzaO573Gqnde9w1Xc4xHcfbOz7E272+c0zH8XZv5zmdr2H0yaEGuZpaI/3jQS9ZLJLVYpHV4vtbbVHn91aLxXfcavF9Ld851uOvsZzkGosl8PXprrFZLRG7d8IMzlrJQF+YoW4G6LmdNXW6YUG5jjVGb2i4IDddyYm2Ez+w1OVDzer/kPN/WHZ+b+1yTrdrupzje+4k15zyw/Qcr/G3zXqSa057P52ve+r7Ofl7d38f/4f/6a85eWA4y2ukQNDoqwgzOGuBGU1sawD02KNLtutYY6vyHMkqLnDInmCVzer7f7P+DyWb1f/haZHN/8Hl/9p63DkW/7Vdzglcqy7nd34ABt7rJK8/ssChgZkpkf4xAeeEMIOz5p/RtLOmXg0tbUrrAxttAr1hjNEHnxyRJP2fmy9meBYIsphYZwbRJceRrDxHsrxG2nIwtJt4AvHgSINHtY2tslikUQWOSDcHiDuEGZwT/z5NG6mbAc6ottEjSXIkJ8qewHIGQLARZnBOOutmCDPAmfiLfrNSEyPcEiA+UeyAc1LSEWY+YlsD9FHGGDV62lXf0uZ7NLed/OuWNu2orpMkOVOTItxqID4RZnBOxnQMM+061CB3c6scyfw/TsQOfxCpa26Tu7lV7qZWuZtbfd83tcrd9d+O43XNbWroGlY8bWe9sNmgLGYLAaFAmME56Z9uV2G/FFUcbdLG/S5NOj870k1CH+MPJMcafcW1/n9rGz061tgZUNxNbZ1BJRBc2tTuDc4Sq1aLlG5PUEZyotLsNqXbE5SenKh0/9d239eOlER9fmxBUN4TQHeEGZyzsYMyVXG0Sesragkz6BVjjOpb2nSk3qPD9S0ds398oeRYo0e1Da2qbfJ973/e1dgqT7u3V+9rs1rkSE6QIyVRjuREZSQnyJGcKEdKQsf3nV+nJycow56g9OSEjsDi+zelY5E5AJFDmME5G1eYqUUbDuqjitpINwVRqN1rdKS+RYfrPTrS0OILKfUeHfYHlo7QcriuRYcbPPK0nVswSUqwKis1UZkpScpMTVRWapKy0hI7Qklit7DiSPH1oPi/JogA8YEwg3M2rjBTkrS+olbGGD4U+ghjjNzNbapxN6vK3axqd4uq3c2qcjWr2u1/tOhQfctZD+WkJdmUnWFXv7QkZaV2CSepiXJ2/Ot/PrPjewIJAMIMztmoAqdsVotq6lpU5W5WvpPixnjQ7jWqdjdr/7Em7T/WqAPHmrT/WJMO1PoeVa5mNbW29+i1rBapX1qSstPt6p+epP5p9sDX2en+5+3K7jiWksQaLADOHmEG5ywlyaYLczO05aBbH1XUEmZiSJOnXXuONGj3Yd9jz+EGVRxr1IHaJh2sbVZbD3pUHMkJynMmK9fhe+Q5kpXrsPu+7ng+O90e0Z10AfQNhBn0ytjCTG056Nb6CpeuGZ0f6ebgOF6v0a7DDdpc6dLG/S5tOejW7sMNOuhqPu11CVaLCjJTNCgrRQMzUzQoK1UDO77O7wgq9KIAiBaEGfTKuEKn/rRKFAFHiYOuJq3ec0zr99Vq0wGXNle61OA5+ZCQIzlB5w1IV1F2mob2T9Pg/r7QMigrRTkZyfSoAIgZhBn0ytiOIuCNB1xq9xo+AMOo3Wu0rapOa/ce1Zq9x7RmzzEdqG064bzkRKuK8x0qGejUqAKnhuX4AkxWaiKFswDiAmEGvTI8J0OpSTbVt7Rp16F6Dc/NiHST4pYxviGj93cc1vs7D2vFriOqa27rdo7NalFxvkPjh2SpZKBTJYOcOi87TQk2tmEDEL8IM+gVm9Wi0QOdWrX7qNZX1BJmgszd3Krl2w7pve2H9K+dh1V5XK1LWpJNFw/J0oQh/TRhaJbGFWYqzc7/rAH0LfzVQ69dVJgZCDM3TCiMdHNiXmVtk5ZsqdaSLdVasetIt5lFSTarJgzN0hXDs3XF+dkqznfQ6wKgzyPMoNf8dTPsoH3uDrqa9PpHlXr9o4PaeMDV7diwAWn63IgcXTF8gC4d2o9ZRABwHMIMes0fZj4+WKfm1nYlJ/Jh2xOupla9ufGgXl1/QCt3Hw3swGyxSOMHZ+nfinP1b8W5Om9AemQbCgBRjjCDXitw+hZHO1zfos2Vbo0fkhXpJkUtY4zWV9Tq+ZX79PpHlWrpsh/RJUOz9MVxA3XN6Dxlp9sj2EoAiC2EGfSaxWLRuEKn/rG1Rh9V1BJmTqK5tV1/XXdAz63Yqy0H3YHnL8hN19SLBuoLYws0KCs1gi0EgNhFmEFQjB2U6Qsz1M10U9vo0XMr9urZD/bocL1HkmRPsOr6MQX6j4mDdfHgTNZ6AYBeIswgKAJFwKwELEk61uDRguWf6P+u2KvGjhV4B2am6NZJQ/Xl8YOUmZoU4RYCQPwgzCAoxg7KlCTtOdKo2kZPn/2wbmhp0x/f360n39uluhbfgnYj8x26/dPn6bqSfCUyjRoAgo4wg6BwpibqvOw07TrcoPUVtfrMhTmRblJYeb1Gf1m3X48s/jgwnDQy36H/uvoCfW5EDkNJABBChBkEzdjCTO063KCPKlx9KsxsqXRr7mubtGbvMUnSkP6puvvfLtDnxxTIyl5VABByhBkEzdhBTr3y4YE+UwTc2u7V7/6xQ/OXf6J2r1Fqkk13lQ3XrZOKGE4CgDAizCBouhYBG2PiemhlZ02dvvfSR4HVeq8rydMD1xcr35kS4ZYBQN9DmEHQjMx3KNFm0ZEGjyqONmlw//hcN+Wl1fs097XNamnzKjM1UQ9PLdGUMfmRbhYA9FmEGQRNcqJNowqcWl9Rq3X7jsVdmPG0efXjRZv13Ip9kqQrLxigX355jHIdyRFuGQD0bQzsI6guHuxb/XfdvmMRbklw1TZ6dPMfVuq5FftksUj3Tr5QC2+9hCADAFGAMIOgunhIpqT4CjPV7mZ95fflWrXnqDLsCXr6lgma9dnz47omCABiCcNMCCp/z8zWg3Vq9LQpNSm2/xPbc7hBNz+9UvuPNSnXYdf/nTFRF+RmRLpZAIAu6JlBUBVkpijPkax2r9GG/a5IN6dX9h9r1FefWqH9x5o0tH+q/nL75QQZAIhChBkEnX/X7LV7Y3eoqaauWTf/YaUOupo1bECa/nx7qQr7xVdBMwDEC8IMgu6iwZmSpA9jtG6m0dOmW59ZrT1HGjUoK0XP/+dlysmg0BcAohVhBkF38RD/jCbf4nmxxOs1uufPH2lzpVvZ6Ul6/j8nKs9JkAGAaEaYQdCNKnAoyWbV0QaP9h5pjHRzzspjy3bozU1VSrRZtODm8RrSPy3STQIAnAFhBkFnT7Bp9ECHpNiaov3BzsP63dIdkqSHp5ZowtB+EW4RAKAnCDMIiVhbPO9og0ff+/N6GSPddEmhvnJJYaSbBADoIcIMQsI/o2nd3trINqQHjDH6wf/boGp3i4YNSNPczxdHukkAgLNAmEFI+IuAP65yq6GlLcKtOb3XNxzUki3VSrRZ9LubLor5hf4AoK8hzCAkch3JGpiZIq+RPqqojXRzTqm20aMfv75ZkjTrs+dr9EBnhFsEADhbhBmEjH+9mWium3n471t1uN6j83PSdcdnhkW6OQCAcxCSMLNnzx7NmDFDRUVFSklJ0bBhw/Tggw/K4/F0O2/Dhg361Kc+peTkZBUWFuqRRx454bVefvlljRgxQsnJySopKdEbb7wRiiYjBPxFwNG6EvC6fcf08tr9kqSff6lE9gRbhFsEADgXIQkzH3/8sbxer37/+99r8+bN+s1vfqMFCxbohz/8YeAct9utq6++WkOGDNHatWv1y1/+Ug899JCefPLJwDkffPCBvvrVr2rGjBn68MMPNXXqVE2dOlWbNm0KRbMRZJcW+aY2r9l7TO3e6Fo8zxijny7aIkn68vhBTMMGgBhmMWFaovWXv/yl5s+fr127dkmS5s+frx/96EeqqqpSUlKSJOm+++7Tq6++qo8//liSdOONN6qhoUGLFi0KvM5ll12mcePGacGCBT1+b7fbLafTKZfLJYfDEcS7wum0e43G/vfbqm9p0xvf/ZSKC6LnZ//3DQc164V1Skm06d17P6NcB6v8AkC06ennd9hqZlwul/r16/x/v+Xl5bryyisDQUaSJk+erG3btunYsWOBc8rKyrq9zuTJk1VeXn7a92ppaZHb7e72QPjZrJbArKZVu49EuDWdWtra9fPFWyVJ3/r0eQQZAIhxYQkzO3fu1OOPP65vfetbgeeqqqqUm5vb7Tz/91VVVac9x3/8VObNmyen0xl4FBayAFqkTOwYalq9J3rqZl5es18VR5uUk2HXzCvPi3RzAAC9dFZh5r777pPFYjntwz9E5HfgwAFdc801uuGGG3TbbbcFtfGnMmfOHLlcrsCjoqIiLO+LE13SUYuycvfRqNh0sqWtXf/nnZ2SfFOxWVMGAGLfWf0lv+eee/SNb3zjtOecd17n/9OtrKzUZz/7WV1++eXdCnslKS8vT9XV1d2e83+fl5d32nP8x0/FbrfLbref9hyEx5hBTiXZrDpc36I9RxpVlB3ZjRtfXrNfla5m5TrsupEtCwAgLpxVmBkwYIAGDBjQo3MPHDigz372sxo/fryeeeYZWa3dO4FKS0v1ox/9SK2trUpMTJQkLVmyRBdeeKGysrIC5yxdulR33XVX4LolS5aotLT0bJqNCEpOtGlcYaZW7Tmq1buPRjTMdO2VuePTw5ScyFRsAIgHIamZOXDggD7zmc9o8ODB+tWvfqVDhw6pqqqqW63Lf/zHfygpKUkzZszQ5s2b9dJLL+l3v/ud7r777sA5d955pxYvXqxf//rX+vjjj/XQQw9pzZo1mj17diiajRC5pMgXTlfuPhrRdry2vlKVrmblZNh106WDI9oWAEDwhKRgYMmSJdq5c6d27typQYMGdTvmr5twOp16++23NWvWLI0fP17Z2dmaO3euZs6cGTj38ssv1wsvvKD7779fP/zhDzV8+HC9+uqrGj16dCiajRDx1c18otV7IhdmjDF6+p+7JUm3TiqiVwYA4kjY1pmJJNaZiay65laN/e+35TXSijlXKc8Z/qnQ720/pK//cZVSk2wqv+8qOVMTw94GAMDZibp1ZtB3ZSQnBhbMWxWh3pmn/ulbrPErEwoJMgAQZwgzCAv/FO3VEaib2V5dp3/uOCyrRZpxRVHY3x8AEFqEGYSFf/G8FbvCvxLwn1btkySVjcxVYb/UsL8/ACC0CDMIi8vO6y+LRdpRU68ad3PY3re5tV2vfHhAkvTVicxgAoB4RJhBWGSmJmlUR93MB5+Er3fm7S3Vqm1sVb4zWVcO79kaSQCA2EKYQdhMOj9bkvT+zsNhe8+XVvuGmG6YUCib1RK29wUAhA9hBmEzaZgvzHyw83BY9mnad6RR/9p5RBaL9JUJg858AQAgJhFmEDaXDO2nJJtVla5m7TnSGPL3+/Ma3wajnxo+QIOyKPwFgHhFmEHYpCTZdPGQTEmhH2pqa/fq5bW+MHMTG0oCQFwjzCCsrji/c6gplN7ddkjV7hb1S0tS2cjckL4XACCyCDMIq8v9YeaTI2r3hq5u5sXVvl6ZaRcPVFIC/5kDQDzjrzzCasxApzLsCXI1tWpzpSsk71HtbtY722okSTcyxAQAcY8wg7BKsFl12bD+knybP4bCX9buV7vXaMKQLJ2fkxGS9wAARA/CDMLucyNyJElLP64J+mt7vSYwi+mmS1nxFwD6AsIMwu6zF/rCzPqKWh2pbwnqa6/YfUR7jzQqw56g60rygvraAIDoRJhB2OU5kzWqwCFjfLOOgunFVb5emS+MK1BqUkJQXxsAEJ0IM4iIqzqGmpYFcajpWINHizdVSZJuuoQhJgDoKwgziIjPdaz98t72Q/K0eYPymq+uPyBPu1fF+Q6NHugIymsCAKIfYQYRMWagU9npSapradPqPUd7/XrGmMAQ002XFspiYVNJAOgrCDOICKvVEigEfmtzVa9f76P9Lm2rrpM9waovjhvY69cDAMQOwgwi5rox+ZKkNzZW9Xo14D+t3Od7zZJ8OVMSe902AEDsIMwgYiYNy5YzJVGH61u0ave5DzW5mlr12kcHJEnTJ1L4CwB9DWEGEZOUYNXkUb5C4L9vrDzn13ll3X41t3p1YW6Gxg/JClbzAAAxgjCDiJoypkCS9ObGKrW2n/2sJmOMnu8YYpp+2WAKfwGgDyLMIKIuH9Zf2el2HWnwaOnWs19zZtXuo9pRU6/UJJv+/SIKfwGgLyLMIKISbVZ9efwgSdJLq/ed9fULy/dIkr44rkAZyRT+AkBfRJhBxN14SaEkafn2Q6qsberxdXsON+jNjhV/v3F5UUjaBgCIfoQZRFxRdpomFvWT10gvrup578yT/9wlY3y7cF+YlxHCFgIAohlhBlHh66VDJUkLy/eqvqXtjOdXuZr1l7X7JUnfuvK8UDYNABDlCDOICteMztN5A9LkamrVcyv2nvH8R5dsk6fNqwlDsnRpUb8wtBAAEK0IM4gKNqtFd3x6mCTpD//cddrema0H3Xq5o1dmznUjmY4NAH0cYQZRY+pFAzWkf6oO13v02NIdJz2n3Ws097VNMkaaUpLPInkAAMIMokeizaqHPj9KkvT0+7u1cteRE8554p2dWr3nmNKSbLrv2hHhbiIAIAoRZhBVPjsiR1PHFajda/Tt59dpc6VLkm+l3/8t36NHl2yXJD34hVEq7JcayaYCAKJEQqQbABzvZ18q0Y6aem2udOvf/88H+tyFOTpU36K1e49JkmZeeZ6+MqEwwq0EAEQLemYQdVKTEvTCbZfp0xcMkKfNq8Wbq7R27zElWC36/jUXag7DSwCALuiZQVRypiTq2Vsv0dq9x7R27zElJ9r0b8W5KshMiXTTAABRhjCDqGWxWDRhaD9NGMo6MgCAU2OYCQAAxDTCDAAAiGmEGQAAENMIMwAAIKYRZgAAQEwjzAAAgJhGmAEAADGNMAMAAGIaYQYAAMQ0wgwAAIhphBkAABDTCDMAACCmEWYAAEBM6xO7ZhtjJElutzvCLQEAAD3l/9z2f46fSp8IM3V1dZKkwsLCCLcEAACcrbq6OjmdzlMet5gzxZ044PV6VVlZqYyMDFkslqC9rtvtVmFhoSoqKuRwOIL2utGK+41vfel++9K9StxvvIvn+zXGqK6uTgUFBbJaT10Z0yd6ZqxWqwYNGhSy13c4HHH3H9DpcL/xrS/db1+6V4n7jXfxer+n65HxowAYAADENMIMAACIaYSZXrDb7XrwwQdlt9sj3ZSw4H7jW1+63750rxL3G+/62v2eTJ8oAAYAAPGLnhkAABDTCDMAACCmEWYAAEBMI8wAAICYRpjphSeeeEJDhw5VcnKyJk6cqFWrVkW6SWftvffe0+c//3kVFBTIYrHo1Vdf7XbcGKO5c+cqPz9fKSkpKisr044dO7qdc/ToUU2fPl0Oh0OZmZmaMWOG6uvrw3gXPTdv3jxdcsklysjIUE5OjqZOnapt27Z1O6e5uVmzZs1S//79lZ6ermnTpqm6urrbOfv27dOUKVOUmpqqnJwc3XvvvWprawvnrZzR/PnzNWbMmMBCWqWlpXrzzTcDx+PlPk/l5z//uSwWi+66667Ac/F0zw899JAsFku3x4gRIwLH4+le/Q4cOKCbb75Z/fv3V0pKikpKSrRmzZrA8Xj6ezV06NATfr8Wi0WzZs2SFJ+/314xOCcvvviiSUpKMn/84x/N5s2bzW233WYyMzNNdXV1pJt2Vt544w3zox/9yPz1r381kswrr7zS7fjPf/5z43Q6zauvvmo++ugj84UvfMEUFRWZpqamwDnXXHONGTt2rFmxYoX55z//ac4//3zz1a9+Ncx30jOTJ082zzzzjNm0aZNZv369ue6668zgwYNNfX194Jzbb7/dFBYWmqVLl5o1a9aYyy67zFx++eWB421tbWb06NGmrKzMfPjhh+aNN94w2dnZZs6cOZG4pVP629/+Zv7+97+b7du3m23btpkf/vCHJjEx0WzatMkYEz/3eTKrVq0yQ4cONWPGjDF33nln4Pl4uucHH3zQjBo1yhw8eDDwOHToUOB4PN2rMcYcPXrUDBkyxHzjG98wK1euNLt27TJvvfWW2blzZ+CcePp7VVNT0+13u2TJEiPJvPPOO8aY+Pv99hZh5hxdeumlZtasWYHv29vbTUFBgZk3b14EW9U7x4cZr9dr8vLyzC9/+cvAc7W1tcZut5s//elPxhhjtmzZYiSZ1atXB8558803jcViMQcOHAhb289VTU2NkWSWL19ujPHdX2Jionn55ZcD52zdutVIMuXl5cYYXwC0Wq2mqqoqcM78+fONw+EwLS0t4b2Bs5SVlWX+8Ic/xPV91tXVmeHDh5slS5aYT3/604EwE2/3/OCDD5qxY8ee9Fi83asxxvzgBz8wV1xxxSmPx/vfqzvvvNMMGzbMeL3euPz99hbDTOfA4/Fo7dq1KisrCzxntVpVVlam8vLyCLYsuHbv3q2qqqpu9+l0OjVx4sTAfZaXlyszM1MTJkwInFNWViar1aqVK1eGvc1ny+VySZL69esnSVq7dq1aW1u73fOIESM0ePDgbvdcUlKi3NzcwDmTJ0+W2+3W5s2bw9j6nmtvb9eLL76ohoYGlZaWxu19StKsWbM0ZcqUbvcmxefvdseOHSooKNB5552n6dOna9++fZLi817/9re/acKECbrhhhuUk5Ojiy66SE899VTgeDz/vfJ4PHruuef0zW9+UxaLJS5/v71FmDkHhw8fVnt7e7f/SCQpNzdXVVVVEWpV8Pnv5XT3WVVVpZycnG7HExIS1K9fv6j/WXi9Xt11112aNGmSRo8eLcl3P0lJScrMzOx27vH3fLKfif9YNNm4caPS09Nlt9t1++2365VXXlFxcXHc3affiy++qHXr1mnevHknHIu3e544caKeffZZLV68WPPnz9fu3bv1qU99SnV1dXF3r5K0a9cuzZ8/X8OHD9dbb72lO+64Q9/97ne1cOFCSfH99+rVV19VbW2tvvGNb0iKv/+Wg6FP7JoNnMysWbO0adMmvf/++5FuSshceOGFWr9+vVwul/7yl7/olltu0fLlyyPdrJCoqKjQnXfeqSVLlig5OTnSzQm5a6+9NvD1mDFjNHHiRA0ZMkR//vOflZKSEsGWhYbX69WECRP0s5/9TJJ00UUXadOmTVqwYIFuueWWCLcutJ5++mlde+21KigoiHRTohY9M+cgOztbNpvthMrx6upq5eXlRahVwee/l9PdZ15enmpqarodb2tr09GjR6P6ZzF79mwtWrRI77zzjgYNGhR4Pi8vTx6PR7W1td3OP/6eT/Yz8R+LJklJSTr//PM1fvx4zZs3T2PHjtXvfve7uLtPyTe0UlNTo4svvlgJCQlKSEjQ8uXL9dhjjykhIUG5ublxd89dZWZm6oILLtDOnTvj8vebn5+v4uLibs+NHDkyMLQWr3+v9u7dq3/84x/6z//8z8Bz8fj77S3CzDlISkrS+PHjtXTp0sBzXq9XS5cuVWlpaQRbFlxFRUXKy8vrdp9ut1srV64M3Gdpaalqa2u1du3awDnLli2T1+vVxIkTw97mMzHGaPbs2XrllVe0bNkyFRUVdTs+fvx4JSYmdrvnbdu2ad++fd3ueePGjd3+KC5ZskQOh+OEP7bRxuv1qqWlJS7v86qrrtLGjRu1fv36wGPChAmaPn164Ot4u+eu6uvr9cknnyg/Pz8uf7+TJk06YRmF7du3a8iQIZLi8++VJD3zzDPKycnRlClTAs/F4++31yJdgRyrXnzxRWO3282zzz5rtmzZYmbOnGkyMzO7VY7Hgrq6OvPhhx+aDz/80Egyjz76qPnwww/N3r17jTG+qY6ZmZnmtddeMxs2bDBf/OIXTzrV8aKLLjIrV64077//vhk+fHhUTnU0xpg77rjDOJ1O8+6773ab9tjY2Bg45/bbbzeDBw82y5YtM2vWrDGlpaWmtLQ0cNw/5fHqq68269evN4sXLzYDBgyIuimP9913n1m+fLnZvXu32bBhg7nvvvuMxWIxb7/9tjEmfu7zdLrOZjImvu75nnvuMe+++67ZvXu3+de//mXKyspMdna2qampMcbE170a45tun5CQYB5++GGzY8cO8/zzz5vU1FTz3HPPBc6Jt79X7e3tZvDgweYHP/jBCcfi7ffbW4SZXnj88cfN4MGDTVJSkrn00kvNihUrIt2ks/bOO+8YSSc8brnlFmOMb7rjAw88YHJzc43dbjdXXXWV2bZtW7fXOHLkiPnqV79q0tPTjcPhMLfeequpq6uLwN2c2cnuVZJ55plnAuc0NTWZb3/72yYrK8ukpqaaf//3fzcHDx7s9jp79uwx1157rUlJSTHZ2dnmnnvuMa2trWG+m9P75je/aYYMGWKSkpLMgAEDzFVXXRUIMsbEz32ezvFhJp7u+cYbbzT5+fkmKSnJDBw40Nx4443d1lyJp3v1e/31183o0aON3W43I0aMME8++WS34/H29+qtt94ykk64B2Pi8/fbGxZjjIlIlxAAAEAQUDMDAABiGmEGAADENMIMAACIaYQZAAAQ0wgzAAAgphFmAABATCPMAACAmEaYAQAAMY0wAwAAYhphBgAAxDTCDAAAiGmEGQAAENP+P6wfNZ1rT583AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "acc\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "from spatz.dataset import T1, T2, T3\n",
    "from math import pi\n",
    "\n",
    "# Rename the columns\n",
    "df = df.rename({\n",
    "    'acceleration_without_gravity_x~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket': 'ax_B',\n",
    "    'acceleration_without_gravity_y~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket': 'ay_B',\n",
    "    'acceleration_without_gravity_z~STAHR_Rocket#B~STAHR_Rocket@STAHR_Rocket': 'az_B',\n",
    "    'latitude~STAHR_Rocket#PCPF~Earth@Earth': 'latitude',\n",
    "    'longitude~STAHR_Rocket#PCPF~Earth@Earth': 'longitude',\n",
    "    'declination~STAHR_Rocket#PCPF~Earth@Earth': 'declination',\n",
    "    'altitude~STAHR_Rocket@Earth': 'altitude',\n",
    "    'pitch~STAHR_Rocket#L~STAHR_Rocket:Earth': 'pitch_l',\n",
    "    'yaw~STAHR_Rocket#L~STAHR_Rocket:Earth': 'yaw_l',\n",
    "    'roll~STAHR_Rocket#L~STAHR_Rocket:Earth': 'roll_l',\n",
    "    'atmos_pressure~STAHR_Rocket': 'atmos_pressure',\n",
    "    'atmos_temperature~STAHR_Rocket': 'atmos_temperature',\n",
    "    'sonic_velocity~STAHR_Rocket': 'sonic_velocity',\n",
    "    'OMEGA_X~STAHR_Rocket': 'OMEGA_X',\n",
    "    'OMEGA_Y~STAHR_Rocket': 'OMEGA_Y',\n",
    "    'OMEGA_Z~STAHR_Rocket': 'OMEGA_Z',\n",
    "    'drag~STAHR_Rocket': 'drag',\n",
    "    'flightpath_speed~STAHR_Rocket': 'flightpath_speed',\n",
    "    'mass_total~STAHR_Rocket': 'mass_total',\n",
    "    'mach~STAHR_Rocket': 'mach'\n",
    "}, axis=1)\n",
    "\n",
    "g = 9.81\n",
    "t0 = df.at[2, 'Time']\n",
    "\n",
    "vel = np.array([0, 0, 0], dtype='float64')\n",
    "pos = np.array([318.99999999906896, 0, 0], dtype='float64')\n",
    "time = t0\n",
    "\n",
    "init_latitude = df.at[2, 'latitude'] * pi / 180\n",
    "init_longitude = df.at[2, 'longitude'] * pi / 180\n",
    "\n",
    "t0 = df.at[2, 'Time']\n",
    "omega_E = (2*pi) / (24*60*60)\n",
    "\n",
    "altitudes = [318.99999999906896]\n",
    "velocities = [0]\n",
    "acc_total = [0]\n",
    "\n",
    "pitch, yaw, roll = df.at[2, 'pitch_l'] * pi / 180, df.at[2, 'yaw_l'] * pi / 180, df.at[2, 'roll_l'] * pi / 180\n",
    "decl = df.at[2, 'declination'] * pi / 180\n",
    "\n",
    "B_to_L = T1(yaw) @ T2(pi / 2 - pitch) @ T1(-roll)\n",
    "G_to_LF = T2(-pi/2 - init_latitude) @ T3(init_longitude)\n",
    "\n",
    "x_FL, y_FL, z_FL = [8.20214666930979e-13], [-1.51393643837011e-12], [-2.40063988328838e-12]\n",
    "vx_FL, vy_FL, vz_FL = [0], [0], [0]\n",
    "ax_FL, ay_FL, az_FL = [0], [0], [0]\n",
    "\n",
    "for i in range(3, len(df)+2):\n",
    "    dt = df.at[i, 'Time'] - df.at[i-1, 'Time']\n",
    "\n",
    "    # Fetch values for the current time step.\n",
    "    acc = np.array([df.at[i, 'ax_B'], df.at[i, 'ay_B'], df.at[i, 'az_B']])\n",
    "    pitch, yaw, roll = df.at[i, 'pitch_l'] * pi / 180, df.at[i, 'yaw_l'] * pi / 180, df.at[i, 'roll_l'] * pi / 180\n",
    "    decl = df.at[i, 'declination'] * pi / 180\n",
    "    long = df.at[i, 'longitude'] * pi / 180\n",
    "\n",
    "    B_to_L = T1(yaw) @ T2(pi / 2 - pitch) @ T1(-roll)\n",
    "    L_to_G = np.linalg.inv(T2(-decl) @ T3(long + omega_E * t0))\n",
    "    G_to_LF = T2(-pi/2 - init_latitude) @ T3(init_longitude)\n",
    "    L_to_LF = G_to_LF @ L_to_G\n",
    "\n",
    "    acc_L = B_to_L @ acc + np.array([-g, 0, 0])\n",
    "    pos += dt * vel + 1/2*dt**2*acc_L\n",
    "    vel += dt * acc_L\n",
    "\n",
    "    pos_LF = -(L_to_LF @ pos)\n",
    "    vel_LF = -(L_to_LF @ vel)\n",
    "    acc_LF = -(L_to_LF @ acc_L)\n",
    "\n",
    "    x_FL.append(pos_LF[0])\n",
    "    y_FL.append(pos_LF[1])\n",
    "    z_FL.append(pos_LF[2])\n",
    "\n",
    "    vx_FL.append(vel_LF[0])\n",
    "    vy_FL.append(vel_LF[1])\n",
    "    vz_FL.append(vel_LF[2])\n",
    "\n",
    "    ax_FL.append(acc_LF[0])\n",
    "    ay_FL.append(acc_LF[1])\n",
    "    az_FL.append(acc_LF[2])\n",
    "\n",
    "    altitudes.append(pos[0])\n",
    "    velocities.append(np.sqrt(vel[0]**2 + vel[1]**2 + vel[2]**2))\n",
    "    acc_total.append(np.sqrt(acc[0]**2 + acc[1]**2 + acc[2]**2))\n",
    "\n",
    "plt.plot(df['Time'], df['altitude'] * 1000, label='true')\n",
    "\n",
    "plt.plot(df['Time'], altitudes, label='integrated')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.plot(df['Time'], velocities, label='velocity')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.plot(df['Time'], np.array(velocities) / 340, label='mach')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "print('x_FL')\n",
    "plt.plot(df['Time'], x_FL)\n",
    "plt.show()\n",
    "\n",
    "print('y_FL')\n",
    "plt.plot(df['Time'], y_FL)\n",
    "plt.show()\n",
    "\n",
    "print('z_FL')\n",
    "plt.plot(df['Time'], z_FL)\n",
    "plt.show()\n",
    "\n",
    "print('vx_FL')\n",
    "plt.plot(df['Time'], vx_FL)\n",
    "plt.show()\n",
    "\n",
    "print('vy_FL')\n",
    "plt.plot(df['Time'], vy_FL)\n",
    "plt.show()\n",
    "\n",
    "print('vz_FL')\n",
    "plt.plot(df['Time'], vz_FL)\n",
    "plt.show()\n",
    "\n",
    "print('acc')\n",
    "plt.plot(df['Time'], ax_FL, label='ax')\n",
    "plt.plot(df['Time'], ay_FL, label='ay')\n",
    "plt.plot(df['Time'], az_FL, label='az')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.748061737030652"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(np.array(acc_total) / g)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2       319.000000\n",
       "3       319.000000\n",
       "4       319.000000\n",
       "5       319.000000\n",
       "6       319.000000\n",
       "           ...    \n",
       "1718      9.595482\n",
       "1719      6.396103\n",
       "1720      3.197213\n",
       "1721     -0.001187\n",
       "1722     -0.001187\n",
       "Name: altitude, Length: 1721, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['altitude'] * 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41435.2573895818"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(df['altitude'] * 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2         0.000000\n",
       "3         0.025000\n",
       "4         0.050000\n",
       "5         0.050000\n",
       "6         0.050000\n",
       "           ...    \n",
       "1718    752.238883\n",
       "1719    752.842354\n",
       "1720    753.445825\n",
       "1721    754.049295\n",
       "1722    754.049295\n",
       "Name: Time, Length: 1721, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.insert(0, 'x_FL', np.array(x_FL) / 1000)\n",
    "df.insert(0, 'y_FL', np.array(y_FL) / 1000)\n",
    "df.insert(0, 'z_FL', np.array(z_FL) / 1000)\n",
    "\n",
    "df.insert(0, 'vx_FL', np.array(vx_FL) / 1000)\n",
    "df.insert(0, 'vy_FL', np.array(vy_FL) / 1000)\n",
    "df.insert(0, 'vz_FL', np.array(vz_FL) / 1000)\n",
    "\n",
    "df.insert(0, 'acc_total', np.array(acc_total))\n",
    "\n",
    "df_new = df[[\n",
    "    'Time',\n",
    "    'Phase',\n",
    "    'declination',\n",
    "    'longitude',\n",
    "    'latitude',\n",
    "    'altitude',\n",
    "    'x_FL',\n",
    "    'y_FL',\n",
    "    'z_FL',\n",
    "    'vx_FL',\n",
    "    'vy_FL',\n",
    "    'vz_FL',\n",
    "    'pitch_l',\n",
    "    'yaw_l',\n",
    "    'roll_l',\n",
    "    'atmos_pressure',\n",
    "    'atmos_temperature',\n",
    "    'sonic_velocity',\n",
    "    'mach',\n",
    "    'OMEGA_X',\n",
    "    'OMEGA_Y',\n",
    "    'OMEGA_Z',\n",
    "    'mass_total',\n",
    "    'flightpath_speed', \n",
    "    'acc_total', \n",
    "    'drag'\n",
    "]]\n",
    "\n",
    "descriptions = pd.DataFrame.from_dict({\n",
    "    'Time': ['Second'],\n",
    "    'Phase': [None],\n",
    "    'declination': ['Degree'],\n",
    "    'longitude': ['Degree'],\n",
    "    'latitude': ['Degree'],\n",
    "    'altitude': ['Kilo-Meter'],\n",
    "    'x_FL': ['Kilo-Meter'],\n",
    "    'y_FL': ['Kilo-Meter'],\n",
    "    'z_FL': ['Kilo-Meter'],\n",
    "    'vx_FL': ['Kilo-Meter / Second'],\n",
    "    'vy_FL': ['Kilo-Meter / Second'],\n",
    "    'vz_FL': ['Kilo-Meter / Second'],\n",
    "    'pitch_l': ['Degree'],\n",
    "    'yaw_l': ['Degree'],\n",
    "    'roll_l': ['Degree'],\n",
    "    'atmos_pressure': ['Pascal'],\n",
    "    'atmos_temperature': ['Kelvin'],\n",
    "    'sonic_velocity': ['Meter / Second'],\n",
    "    'mach': [None],\n",
    "    'OMEGA_X': ['Radian / Second'],\n",
    "    'OMEGA_Y': ['Radian / Second'],\n",
    "    'OMEGA_Z': ['Radian / Second'],\n",
    "    'mass_total': ['Mega-Gram'],\n",
    "    'flightpath_speed': ['Kilo-Meter / Second'], \n",
    "    'acc_total': ['Meter/Second**2'], \n",
    "    'drag': ['Kilo-Newton']\n",
    "}, dtype=str)\n",
    "\n",
    "df_new = pd.concat([descriptions, df_new], axis=0)\n",
    "df_new.to_csv('data/simulations/40km.txt', sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'Time', yes\n",
    "\n",
    "'Phase', yes\n",
    "\n",
    "'declination', yes\n",
    "\n",
    "'longitude', yes\n",
    "\n",
    "'latitude', yes\n",
    "\n",
    "'altitude', yes\n",
    "\n",
    "'mach', yes\n",
    "\n",
    "'sonic_velocity', yes\n",
    "\n",
    "'x_FL', yes\n",
    "\n",
    "'y_FL', yes\n",
    "\n",
    "'z_FL', yes\n",
    "\n",
    "'vx_FL', yes\n",
    "\n",
    "'vy_FL', yes\n",
    "\n",
    "'vz_FL', yes\n",
    "\n",
    "'OMEGA_X', yes\n",
    "\n",
    "'OMEGA_Y', yes\n",
    "\n",
    "'OMEGA_Z', yes\n",
    "\n",
    "'pitch_l', yes\n",
    "\n",
    "'yaw_l', yes\n",
    "\n",
    "'roll_l', yes\n",
    "\n",
    "'flightpath_speed', yes\n",
    "\n",
    "'acc_total',\n",
    "\n",
    "'atmos_pressure', yes\n",
    "\n",
    "'atmos_temperature', yes\n",
    "\n",
    "'drag', yes\n",
    "\n",
    "'mass_total', yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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