From 7e1c9616eee2fca3916541009e81755a36583eda Mon Sep 17 00:00:00 2001
From: Harrison Nicholls <harrison.nicholls@physics.ox.ac.uk>
Date: Tue, 9 Jul 2024 10:23:44 +0100
Subject: [PATCH] New function for calculating observed bulk density. Tidied
 other things

---
 misc/selsis.ipynb      |   14 +-
 misc/sub_neptune.ipynb | 1546 ++++++++++++++++++++++++++++++++++++++++
 src/atmosphere.jl      |   60 +-
 src/energy.jl          |    4 +-
 src/phys.jl            |    3 +
 src/plotting.jl        |    2 +-
 6 files changed, 1611 insertions(+), 18 deletions(-)
 create mode 100644 misc/sub_neptune.ipynb

diff --git a/misc/selsis.ipynb b/misc/selsis.ipynb
index fbcb764f..18ca615e 100644
--- a/misc/selsis.ipynb
+++ b/misc/selsis.ipynb
@@ -214,13 +214,13 @@
    ],
    "source": [
     "solver_success = nl.solve_energy!(atmos, \n",
-    "                                    sol_type=3,         # Conserve energy, but with fixed surface temperature\n",
-    "                                    sens_heat=true,    # Do not include sensible heat transport\n",
-    "                                    latent=true,        # Include condensation\n",
-    "                                    method=1,           # Use the Newton-Raphson method\n",
-    "                                    dx_max=400.0,       # Allow large step sizes because of the poor initial guess\n",
-    "                                    linesearch=true ,   # Enable Linesearch\n",
-    "                                    save_frames=false, modplot=1, # disable plotting \n",
+    "                                    sol_type=3,        \n",
+    "                                    sens_heat=true,    \n",
+    "                                    latent=true,       \n",
+    "                                    method=1,          \n",
+    "                                    dx_max=400.0,      \n",
+    "                                    linesearch=true ,  \n",
+    "                                    save_frames=false, modplot=1, \n",
     "                                    conv_atol=0.1\n",
     "                                    )\n",
     "println(\"Solver success? $solver_success\")"
diff --git a/misc/sub_neptune.ipynb b/misc/sub_neptune.ipynb
new file mode 100644
index 00000000..b4605aa8
--- /dev/null
+++ b/misc/sub_neptune.ipynb
@@ -0,0 +1,1546 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Test surface magma ocean for sub-Neptune conditions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import system packages\n",
+    "using Printf\n",
+    "using DelimitedFiles\n",
+    "using Plots\n",
+    "using LaTeXStrings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"/Users/nichollsh/Projects/AGNI/socrates\""
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Set directory\n",
+    "ROOT_DIR = abspath(joinpath(pwd(),\"../\"))\n",
+    "ENV[\"RAD_DIR\"] = joinpath(ROOT_DIR,\"socrates\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mPrecompiling AGNI [ede838c1-9ec3-4ebe-8ae8-da4091b3f21c]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Import AGNI\n",
+    "using AGNI\n",
+    "import AGNI.atmosphere as atmosphere\n",
+    "import AGNI.solver as nl\n",
+    "import AGNI.setpt as setpt\n",
+    "import AGNI.dump as dump\n",
+    "import AGNI.plotting as plotting\n",
+    "\n",
+    "# Disable logging from AGNI module\n",
+    "AGNI.setup_logging(\"\",1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5.97e24"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "L_sun   = 3.83e26\n",
+    "R_earth = 6.371e6\n",
+    "M_earth = 5.97e24"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "get_solar_flux (generic function with 1 method)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get instellation [W m-2] given distance [AU] and star luminosity [L_sun]\n",
+    "function get_solar_flux(L::Float64, d::Float64)::Float64\n",
+    "    return L * L_sun / (4 * pi * d^2 * 1.496e11^2)\n",
+    "end "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"/Users/nichollsh/Projects/AGNI/out/\""
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Configuration options\n",
+    "L_star          = 0.0194\n",
+    "instellation    = 1e5\n",
+    "mass            = 4.78*M_earth\n",
+    "radius          = 2*R_earth     \n",
+    "gravity         = 6.67e-11 * mass / radius^2\n",
+    "p_surf          = 2e4        \n",
+    "\n",
+    "s0_fact         = 0.375  \n",
+    "zenith_degrees  = 48.19 \n",
+    "albedo_b        = 0.0\n",
+    "nlev_centre     = 40\n",
+    "p_top           = 1e-5      # bar \n",
+    "mole_fractions  = Dict([\n",
+    "                        (\"H2O\", 0.05),\n",
+    "                        (\"H2\",  0.95)\n",
+    "                    ])\n",
+    "tmp_surf        = 3500.0\n",
+    "thermo          = true\n",
+    "\n",
+    "spectral_file = joinpath(ROOT_DIR,\"res/spectral_files/nogit/Dayspring/256/Dayspring.sf\")\n",
+    "star_file     = joinpath(ROOT_DIR,\"res/stellar_spectra/trappist-1.txt\")\n",
+    "output_dir    = joinpath(ROOT_DIR,\"out/\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create output directory\n",
+    "rm(output_dir,force=true,recursive=true)\n",
+    "mkdir(output_dir);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m] Composition set by dict \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m] Inserting stellar spectrum and Rayleigh coefficients \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m] Allocated atmosphere with composition: \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       1 H2O     5.00e-02  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       2 H2      9.50e-01  \n"
+     ]
+    }
+   ],
+   "source": [
+    "# Setup atmosphere\n",
+    "atmos = atmosphere.Atmos_t()\n",
+    "atmosphere.setup!(atmos, ROOT_DIR, output_dir, \n",
+    "                        spectral_file,\n",
+    "                        instellation, s0_fact, albedo_b, zenith_degrees,\n",
+    "                        tmp_surf,\n",
+    "                        gravity, radius,\n",
+    "                        nlev_centre, p_surf, p_top,\n",
+    "                        mole_fractions, \"\",\n",
+    "                        flag_gcontinuum=true,\n",
+    "                        flag_rayleigh=true,\n",
+    "                        thermo_functions=thermo\n",
+    "                    )\n",
+    "atmosphere.allocate!(atmos, star_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "setpt.dry_adiabat!(atmos)\n",
+    "setpt.stratosphere!(atmos, 2000.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 1 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_surf = 3500.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  +6.29e-01  2.379e+05  2.912e+05  +1.52e+03  +3.50e+03  6.000e+02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        4  +6.46e-01  1.752e+07  4.603e+04  +1.15e+03  +3.50e+03  2.664e+02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        6  +3.43e-03  5.860e+05  2.688e+04  +1.11e+03  +3.50e+03  1.462e+02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        8  +5.17e-04  2.163e+04  2.497e+04  +1.11e+03  +3.50e+03  3.568e+01  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       10  +3.98e-08  8.049e+02  2.491e+04  +1.11e+03  +3.50e+03  2.532e-01  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       12  +6.98e-10  4.486e+01  2.491e+04  +1.11e+03  +3.50e+03  2.016e-02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       14  +1.45e-09  4.485e+01  2.491e+04  +1.11e+03  +3.50e+03  1.157e-02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       16  +2.04e-09  4.482e+01  2.491e+04  +1.11e+03  +3.50e+03  3.249e-02  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       18  -4.82e-07  1.185e-01  2.491e+04  +1.11e+03  +3.50e+03  1.027e+01  C2-Nr \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 18 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +2.49e+04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +2.46e+01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = +2.46e+01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +1.19e-01 W m-2  (+4.80e-01 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +1.19e-01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 3500.000  K         \n",
+      "Solver success? true\n"
+     ]
+    }
+   ],
+   "source": [
+    "solver_success = nl.solve_energy!(atmos, \n",
+    "                                    sol_type=1,       \n",
+    "                                    sens_heat=true,   \n",
+    "                                    latent=true,      \n",
+    "                                    method=1,         \n",
+    "                                    dx_max=600.0,     \n",
+    "                                    linesearch=false , \n",
+    "                                    save_frames=false, modplot=1,\n",
+    "                                    conv_atol=0.5,\n",
+    "                                    modprint=2\n",
+    "                                    )\n",
+    "println(\"Solver success? $solver_success\")\n",
+    "atm_base = deepcopy(atmos);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running model for 8 samples... \n",
+      "sample 1 \n",
+      "    distance = 0.0100 AU \n",
+      "    instellation = 2.64e+05 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  +4.57e-01  1.202e+04  6.130e+04  +1.16e+03  +3.30e+03  3.465e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  +5.58e-01  4.566e+03  6.854e+04  +1.23e+03  +3.02e+03  2.849e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  +2.60e-01  1.651e+03  6.741e+04  +1.32e+03  +2.73e+03  2.890e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        4  +8.66e-02  2.862e+02  6.605e+04  +1.36e+03  +2.43e+03  2.947e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        5  +3.15e-03  1.061e+01  6.577e+04  +1.36e+03  +2.19e+03  2.425e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        6  -1.20e-02  4.478e+00  6.576e+04  +1.36e+03  +1.99e+03  2.073e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        7  -6.87e-04  1.701e+00  6.576e+04  +1.36e+03  +1.82e+03  1.623e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        8  +2.91e-04  9.349e-01  6.576e+04  +1.36e+03  +1.71e+03  1.151e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        9  +9.82e-05  4.739e-01  6.576e+04  +1.36e+03  +1.58e+03  1.294e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]       10  +8.54e-05  2.068e-01  6.576e+04  +1.36e+03  +1.49e+03  8.813e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 10 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +6.58e+04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = -7.94e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = -1.47e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +2.92e-01 W m-2  (+2.01e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +2.07e-01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 1492.772  K         \n",
+      "    observed density = 0.49745 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 2 \n",
+      "    distance = 0.0200 AU \n",
+      "    instellation = 6.60e+04 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -6.88e-03  1.794e+04  3.437e+04  +9.72e+02  +1.28e+03  3.984e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -1.97e-04  3.938e+03  2.037e+04  +9.90e+02  +1.18e+03  1.349e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -3.40e-06  6.197e+02  1.705e+04  +9.97e+02  +1.10e+03  7.765e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        4  -7.96e-07  4.895e+01  1.648e+04  +9.98e+02  +1.06e+03  4.915e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        5  +8.49e-08  8.914e-01  1.643e+04  +9.98e+02  +1.04e+03  1.600e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        6  -5.24e-09  3.715e-03  1.643e+04  +9.98e+02  +1.04e+03  1.821e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 6 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +1.64e+04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +3.72e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = -3.96e-05 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +5.37e-03 W m-2  (+1.45e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +3.72e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 1037.850  K         \n",
+      "    observed density = 0.96599 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 3 \n",
+      "    distance = 0.0300 AU \n",
+      "    instellation = 2.94e+04 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -8.53e-03  2.217e+03  9.519e+03  +7.97e+02  +8.40e+02  2.143e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -3.63e-04  2.774e+02  7.579e+03  +8.23e+02  +8.48e+02  5.622e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -2.72e-06  1.076e+01  7.313e+03  +8.25e+02  +8.48e+02  2.076e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        4  -2.15e-10  8.638e-02  7.302e+03  +8.25e+02  +8.48e+02  1.776e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 4 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +7.30e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +8.64e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = -4.95e-04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +1.24e-01 W m-2  (+1.37e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +8.64e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 848.334   K         \n",
+      "    observed density = 1.26578 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 4 \n",
+      "    distance = 0.0400 AU \n",
+      "    instellation = 1.65e+04 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -3.58e-02  7.009e+02  4.807e+03  +7.17e+02  +7.33e+02  1.305e+02  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -5.12e-04  3.771e+01  4.144e+03  +7.23e+02  +7.39e+02  3.087e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -7.68e-06  7.759e-01  4.107e+03  +7.24e+02  +7.40e+02  5.352e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        4  -4.17e-09  3.653e-03  4.106e+03  +7.24e+02  +7.40e+02  1.912e-01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 4 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +4.11e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +3.65e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = -3.45e-04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +4.13e-03 W m-2  (+1.13e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +3.65e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 739.539   K         \n",
+      "    observed density = 1.46520 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 5 \n",
+      "    distance = 0.0500 AU \n",
+      "    instellation = 1.06e+04 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -6.07e-01  2.923e+02  2.920e+03  +6.54e+02  +6.69e+02  7.719e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -7.90e-07  1.404e+01  2.642e+03  +6.46e+02  +6.59e+02  2.032e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -3.21e-06  1.327e-01  2.628e+03  +6.45e+02  +6.58e+02  3.173e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 3 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +2.63e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +1.33e-01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = +1.93e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +1.45e-01 W m-2  (+1.09e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +1.33e-01 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 658.029   K         \n",
+      "    observed density = 1.62206 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 6 \n",
+      "    distance = 0.0600 AU \n",
+      "    instellation = 7.34e+03 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -1.30e-01  1.230e+02  1.947e+03  +5.83e+02  +5.97e+02  6.730e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -9.49e-05  4.594e+00  1.829e+03  +5.81e+02  +5.90e+02  1.655e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  +1.38e-10  2.742e-02  1.824e+03  +5.81e+02  +5.89e+02  2.682e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 3 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +1.82e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +2.74e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = -3.82e-04 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +3.28e-02 W m-2  (+1.07e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +2.74e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 589.461   K         \n",
+      "    observed density = 1.75485 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 7 \n",
+      "    distance = 0.0700 AU \n",
+      "    instellation = 5.39e+03 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -4.32e-02  1.406e+02  1.410e+03  +5.43e+02  +5.46e+02  4.714e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -6.18e-05  2.779e+00  1.342e+03  +5.45e+02  +5.52e+02  1.522e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -1.12e-05  1.139e-02  1.340e+03  +5.45e+02  +5.51e+02  1.612e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 3 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +1.34e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +1.14e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = +7.10e-03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +1.52e-02 W m-2  (+1.30e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +1.14e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 551.375   K         \n",
+      "    observed density = 1.83853 g cm-3 \n",
+      "--------------------------------- \n",
+      "sample 8 \n",
+      "    distance = 0.0800 AU \n",
+      "    instellation = 4.13e+03 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     sol_type = 3 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     tmp_int  = 0.00 K \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     f_int    = 0.00 W m-2 \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     step  resid_med    cost     flux_OLR   xvals_med  xvals_max  |dx|_max   flags \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        1  -1.76e-01  6.947e+01  1.064e+03  +5.22e+02  +5.29e+02  2.658e+01  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        2  -1.73e-02  5.976e+00  1.028e+03  +5.20e+02  +5.25e+02  8.131e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]        3  -4.20e-09  2.667e-02  1.026e+03  +5.20e+02  +5.25e+02  1.570e+00  C2-Nr-Ls \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     success in 3 steps \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     outgoing LW flux   = +1.03e+03 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at TOA  = +1.67e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     total flux at BOA  = +2.67e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     column max. loss   = +3.30e-02 W m-2  (+1.24e+02 %)  \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     final cost value   = +2.67e-02 W m-2      \n",
+      "[\u001b[32m\u001b[1m INFO  \u001b[21m\u001b[0m]     surf temperature   = 525.415   K         \n",
+      "    observed density = 1.90058 g cm-3 \n",
+      "--------------------------------- \n",
+      "Done!\n"
+     ]
+    }
+   ],
+   "source": [
+    "dst_arr = collect(range(start=0.01, stop=0.08, step=0.01))\n",
+    "atm_arr = atmosphere.Atmos_t[]\n",
+    "\n",
+    "@printf(\"Running model for %d samples... \\n\", length(dst_arr))\n",
+    "\n",
+    "atmos = deepcopy(atm_base)\n",
+    "for (i,dst) in enumerate(dst_arr)\n",
+    "    @printf(\"sample %d \\n\",i)\n",
+    "    @printf(\"    distance = %.4f AU \\n\",dst)\n",
+    "\n",
+    "    atmos.instellation = get_solar_flux(L_star, dst)\n",
+    "    @printf(\"    instellation = %.2e W m-2 \\n\", atmos.instellation)\n",
+    "    \n",
+    "    # Run model\n",
+    "    solver_success = nl.solve_energy!(atmos, \n",
+    "                                    sol_type=3,         \n",
+    "                                    sens_heat=true,   \n",
+    "                                    latent=true,        \n",
+    "                                    method=1,           \n",
+    "                                    dx_max=400.0,        # Smaller steps\n",
+    "                                    linesearch=true ,   \n",
+    "                                    save_frames=false, modplot=1,\n",
+    "                                    modprint=1, perturb_all=true,\n",
+    "                                    conv_atol=0.4  \n",
+    "                                    )\n",
+    "\n",
+    "    # Density \n",
+    "    atmosphere.calc_observed_rho!(atmos)\n",
+    "    @printf(\"    observed density = %.5f g cm-3 \\n\", atmos.transspec_rho * 0.001)\n",
+    "\n",
+    "    # Store result\n",
+    "    push!(atm_arr, deepcopy(atmos))\n",
+    "    @printf(\"--------------------------------- \\n\")\n",
+    "end \n",
+    "println(\"Done!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"Times New Roman\""
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fs=12\n",
+    "lw=1.5\n",
+    "ff=\"Times New Roman\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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dM3MQIoS0Tnd2ZqYh5FwgZHoQkgRhLOFlrK2QFtVU3oLMZ9Zj3bE0aWZ2ZgUPQsACZg5ChQI8CAEAeBaQy6SjBvSlqxl3s9Jv3OLQHgAAAAAAAOA5Qa1WT5s2zWh8+kf7448/tlZiKJYtW0YVKioqJk6cSL+l4ej1+uTkZJ1OR1VXrFghFAprbEkLhxqNZuLEifRbrLl58+ann34aHBz8xx9/fPLJJ5GRkcxXk5KSjhw58t5771m8a+3atWwMvnnz5qJFi6hyQEBAjZIqQsjX1/ftt9+m32I9nBtCkuTrr79O501ctGgR7cdpwfz586VSKULIZDIlJyeXlDhy+W727NmFhYX0QL6+vjU2e++99zw8PBBCBEHMmDEjPz+/zp5btGhx9erVEydOLF26dOnSpdu3b3eg2W4ICIQA4HREWCRC5m0UOOmwNISYLJTZM6lzugdhNYFQW0nq1c4e0QaykCBmVVdYzJUlDcE/IlDqKaOrkIaQJY2bBdDlsmJ1RZmWQ2MAd0PNDDEKAiEAAM8KzCijCKENuw5yZQkAAAAAAADw/LBs2bIHDx5Q5W7dunXs2LG2lt26dUtISKDK6enp33zzjaNsWLlyZWZmJlVu27attTceTVJSEm1hRkbG6tWra2v5n//8JyAgIC0trUuXLjU2wDDsk08+GTas2kP4hQsXqBintpk5cyYVjhUh9Prrr1MaVY1MmzZNJBJR5W+//fby5ct1ds4tv/zyS2pqKlUODg6moqTWSGhoKOXQiRAqKChYuHCho2zYsWPH4cOHqbKvr29ycnJtLQMCAkaPHk2VS0tLa1NqmQgEgujoaLrau3dvHx+fBpnr3oBACDyz0DtEpk6d+vI/zJs3z2RydY43DEmFmFnKMpI5DutaKEMSf7pGauveBNFAmCFGEddOhMwQowj9P3vnGRhF0cbx2es1PYSQRiCACaH3DqGGXqQIAgICioAIqNhRBF8LAtIEkSICorTQJfQmgqFJAgjphNTL3eVybW9v9/2wx+ZIuVzZu70N8/u0z2R39p+5ved25pl5BqBF7FxGhoDgRhWtmv/gCbC1KTLEQmTMcwv8c9NZuX4U4ia02ooAoQSmGIVAIHWFLm1bxjau6KnuPnxCbzAyqAcCgUAgkDqAyWR69913qVGjmTNnkuU2Vh1BIC8URUVF69evp8wxY8bYPn/cuHHU8RdffFFeXu66BpVKZR3nc0jDV199Re6TV4lbt24lJyfv3r07KirKRlUIgnzzzTfW+TPNZnOtm9KdPHnyr7/+oszRo0fbODkkJISKd+I4bk8Ei0EwDFu2bBllDhs2TCCwNS3b+rPYsmULLYlncRyn1qoCABITE6ntMGvVsGvXrtu3bzt0OwRBwsPDHRXJInhMC4BA3AW1bPnq1atU4enTp1u0aNGvXz933x3DMKVSaTAYRCIRAADIQ4DAEktDzVmFJbTF1Xx5wTzUEhoxlWWXFLpas8Fg0Gg0GIZRs1es4ZoF1h5XmfUQI2qcAuMBuHKZWWN51SjLydXEROI4XlOiA69FXF8G7lqODRp9+r1Hsno+jCqyF/Jb5uPDgFqJ/3Nm2q2soAgH4kAlJSVCodCeOV/eRnFxsVar1WqZXLzrBJVdoptRayqy9vO4RKELjtG2S/RmiouLFQpFYWEh61yiRqNBUdTzs3lcR6lUAgBozKLjMVjqEnEcVygUOp3Odm/QC9HpdAqFQiaTOdHmowb0vr8xkzxWa8p37j88ol9PugXWCHtdolarZcuGLpVQq9UYhrHRJSoUCh6PR+5Mwy4UCgWO46x7yNnrElEUVavVKIraHl70QnQ6nVarZWP3k70usaSkxGg0uvJuXy3Hjh377rvvqpbn57s9RRMEwgrWrFlj7TQGDx5s+/yEhITPPvuMPFYoFNu2bZs3b56LGtavX19WVma/BnIrRBKNRrN58+YlS5ZUOqdp06anT5/u1atXrXdv1qxZ8+bN7927R5XUlFGTYsWKFdRxSEhI+/btbZ+fkJBw+vRp8vjs2bM3b95s27ZtrcIYYe/evdRyUmDHZ9GnTx8EQcidI81m8+rVq11fV5qUlJSWVrHbQq0aevbsyefzya46QRDff//9L7/84tAdAwMDaz+JtbDsrRcCsR+BQFB1wpdEImnevLmNZd10gWEYiqJSqZQcDTdxolAqBMQpk8hwhJDTciNEEgZ0liX2XFOh6/8al8vFcVwqlVbfKw55bj9FEVpGuL8xbSAMCdY9CxDipWofqVQqlbKuh1a/WYNHp1IpU/NEHRIdyqAe+yEHIDzwhaqKVCqV+gi1ZZZRp6Lccodk6PV6gUDAiHIX0el0YrGYdcoruUR3YzBUDKTKZSJXmqsWl+jFUI8K61yi2Wzm8/mse8gBAGQCGTYqZ6lLxHHcYDBIpVLWjYYjCCIWiyUSiRNtPnXMsG82/4I9CxftO3l24ohEugXWCHtdIkEQCIKw7iEHAGAYhmEYG5UbDAYej8dG5eSvJ+uUs9cl8vl88iFnXYCQXE3Cxnct9rpEiUTC5XJpV96iRQuRSFR1+MgzPRcIxMsxm81bt26lTF9f36ZNm9q+pGPHjmKxmJoJt2nTJhcDhARBbNmyhTJFIlGLFi1sX9KqVSs/Pz+VSkVpeP/9961XAQIApFKpPdFBktjYWCpAGB4eHhwcbOPkBw8eXLp0iTLbt29f6dZVqaRk06ZNmzZtslObh/npp5+sTRv5ZkmCgoLi4+P//fdf0ty5c+fKlStdfF1xVINMJmvXrt21a9dIc+/evWvWrPH397d9lTWse0txCJZ17SAQ+6lXrx45u2THjh0NGjQgC5s1a1Zpy1k3gWGY0WiUyWTkO6WRiEGtJv4KJQoBQk8ECJdH4s8yayImlUzMBVyxKxXyeDyz2SyTyaof+pFJdXwhMFmiMnyDSlDbrBm3IgsL1T22zKPHFEqxSCSTyVjXQwuPjeLwuDhmeURKs0pkiUy2qv2Qv+i1zpxyE1FNgtJSLFs2Ps1SOSRDp9OJRCKmlLuCVquVSqWsU17JJbobvRGjjn19JK40Vy0u0YvRarUSiYSNLhHHcRRFWfeQg2cBQjYqZ6lLxHFcr9fLZDLWjYZzOBzy6+lEm8tksgE9uxw/d5k0z/+dUlpWHtmgPt0aq4e9LhEAgCAI6x5y8CxAyEblZICQjcolEgn5DWVaiGOw1yWiKGoymWQyGeuG3jgcDkEQbHzXAqx1iWSAkHblHTp0ePDgwaNHj0gzKyuLzDIaGsqOabsQiFs5e/asdTrNVq1a1RrrEggEsbGxN2/eJM3U1NR79+7Fx8c7reHq1atZWVmU2bx5cz6/lgxSHA6nRYsWVJQuKyvr+vXrnTp1clqD9VDG9OnTbZ+8e/dua7N169a11t+yZUtqmR0A4MCBA+vXr/fCV+7c3Fzr2GdQUJA9uTdbtWpFBQi1Wu3Ro0etc346SnFxcXJyMmXKZLImTZrUelXLli2pACGKoocOHZo2bZr9N631kWM17HuPgUAcpWvXrv2e4ZnoYFV44LmFdxiRS1fNiLiBtUno3Z0EA+H4VOz8R6iY3IMQACAKrdi9j8Aws0rNoBin4fK5AZEVa9ULHj5hUAyLiGxSMWOrKE+tt9p2DvKCo9NV5HiUSFg22ASBQCC2eW3McOoYx/GdB48xKAYCgUAgkDpAVFQUNWrUpUsXpuVAIF7E/v37rU17IjEAgNjYWGvz+PHjrmg4cOAA4xpycy0DuRKJZO7cubZPdqLRZDJZZGTF0HFJScn169cdl+l2Dh48iOM4ZTLyWRw+fBjDKiaFN2rUyJ6ZOnFxca5oYN00JoeAAUIIxBNwkSAEVCzsw4gc2qp+PkAI9Hm01VwDiF/FLHVCVcuuvO5GbBUgBACYihVMKXGRwEYVYVdVgVKnYtkOc4wQGVMRVSUI8CSDrZ8+hF5wnDAYrQKEoro8zwsCgbyADO3bI8jfjzK3/ZGkfpZuHQKBQCAQCAQCoZHLly9bm/YsFwNV4kYXLlxgtQYcxx8+fEger1ixwnZ+UYVCcf/+fesS5wRfvHjRQZmeoNJnYec6HHr/Nbo0UOs17aHWhbOsBgYIIRDPgPCQipkgRuJfAphsnO1Avc8HCPFit/9+IL4VMTm8JAfPe+DuO9pAVL+etam5coOwmsnCIoKsAoSAAH/tcunl6QUhskmQtXn1z/+YUgLxKvQGk/VrnljkdUk5IBAIxBUEfL71voNZT54Oeu0tVZmGQUkQCAQCgUAgkLqHSqWqFOuyXuVmg/r1n0uAn5KS4rQGvV5/+/ZtWjQ4FBCy5syZM/n5+QCAYcOGzZ8/3/bJV69erXQjzzea+7h69aq1aWdwrtK/lpmZWVJSUtPJtXLlyhXXNRQVFVGrQiEwQAiBeAgBUrGLLw5Uevw8TfX6A5HVkr6CZKIsjZ6aa4ATbrUwnMDR46uBmZ5gpxPwfeSikIqZO8acvIKTZ5kS4wqBjUP4wop1Tg8vpj66ct/G+RAAQEi4r19gxSYrV04+zH0MFxFCgEjE5/EqXm9KSnUMioFAIBB3MGPcSOtEOjfupA6c+pZSXcagJAgEAoFAIBBIHePu3bv487Pww8LC7LmwXr3nZvMXFhY6HRBKS0sj93p3UUN5eXlOjpPp3NauXQsA6Ny586+//lrrSrK7d+9WKnFOcGpqqiMaPUFJSUle3nOJ65z71wAAaWlOjl3rdLrHjx/TosELW5gpYIAQAvEQYk4/BFQsZNHhR2laRIhwoiZZmQT+31oAnJwUYw+8l7pzgqIoEy/JMV3Z477b1UqY1SR6AEDBiTPlGdlMiXEagUTQbnRn65ILW5LLili5paLHQBAkcWIbysRx4rcNV22cD3lB4HKQsPo+lJn7VMWgGAgEAnEHzZs2/nju69YlKf+mDZgyp1QFY4QQCAQCgUAgEHrIysqqVGJntsyAgIBKJdnZTo7UZWZmMqth+/btR44c6dmz56lTp3x8fGo9v1KjBQQESCSSGs59jkqCqzY+41T9LOxcvUfj85CVlVVpgabnNdQ9YN4tCMRDcEGgiNOdWjhoBgoDfknMSXC9Zk6DoUTeIaI8nTSJsjSi8AwS0s/1mquHyxcMWWD4ZREgLNOITH/9wW3alVM/xl13tIl/mxZB3TqVXPmbNAkcz9y2O+6jd7giESN6nKbNiE65/2bn3bNMaEJ1xlNrjoz+YiKHC2dy1Eif4XEXjqQ9zVKS5sPbT29fyWrdrSGjoiDMExnun/3EEhekDiAQCKQu8en8WQRBLFv7E1VyK/VBv8lvnPplg/UOhRAIBAKBQCB0UZCryssodeOEdAh9+AVKGjcPcXHjtKoBoaCgoGrPrIRQKKxUolI52TFnVsPOnTtnzZolEAg+/PBDuVxuzyWVBAcGBtp5r0qC9Xq90Wis+l8wSNWYpZ3/nVufB89rqHvAACEE4jmkyHA9uASAmTS1eJKI0xNx/WuIcDhN5plvLaAKzI9/5AV1B1x3Rcg4DZrxOozArh+02LgZPbZaNG014DDjUiLHDi9/nGEoLCZNY0lpzm+Hol+bwIgYp0EQpN9bQ/a+t92g0ZMlRY/z/znwV8ex3ZgV5s1wuJyXZ3X+4cMTVMnejX/Fd4zg8bkMqoIwTmRYxeB4DgwQQiCQOspnb88Wi0QffruWKrl7/78+E2Ym//pj/WB7RyIgEAgEAoFAasWM4TtWXrj6539MC4E4QGSToLnLBgbUkzldQ1FRUaUSkX1z8aue5nQwhikNhYWFS5Ys2b59O2kOGjSoV69eGzZsiIuLs31hcXGxtSkWi+28Y1XBarW6amJMBvHO58HOFuZyuXw+32SqSOanVsO0bRbgwhQIxHNwkXpipCtlmoHCgNOTERHxb4ME96iwjcV4zm+01FwTgp5TEP8GlIkXZZj+PuDWO9qAIxQ0mj4J4VXEhBR/p5TeuMWUHqeRBsh6zxpoXZKy/6+8VCeTpL8gtOwc2bxDRT6B4qdl5w67dxtOiPcTGeZLHWt1aKkSbkMIgUDqJu/Nnrri3XnWJffTM/u9Oju/yMldXiAQCAQCgUCqkrz/XxgdZB05j0q2fXPelRr0en2lEjuzZfL5/EolTgdjPKyBIIh79+7NnTs3Ojqaig6SXLhwoU2bNlu3brVdg0733PiD/QHCqoK9bYmb058Fj1d5PYnTz0Ol5gWOtHAlGd7WvAwCA4QQiEeRckYCUBHH0hJJ1IJCF+HEzAGcit8SPHs3MBTSUnP18IXCwW8DUJGswHRpF17CWChLEhlWb+Bz+Vqz9xwwKpRM6XGaRh2bxPVrRZkEQZxZf9xYbmBQkvczfk4X60SsR35JKVfDFnuhiQh/Lr1eTh587YNAIHWW92ZP/eq9+dYlD9Kz+k9+42lRcU2XQCAQCAQCgTjEP+fTmZYAcYYHt/LKy5wfHqkUjOHxeFWDWNWCYVilkrIyJ7fKdjogZL1WzE4NO3fuDAkJadGixfr166sGwwAAKIrOmDFj7dq1Vf9E4XSA0AnBHsbpz4LG56Hq52J/C1eS4W3NyyAwxSikzqLVasmDhIQE8geMz+e3bdt2y5Ytdq6AdgXcCutyBAQLQUcj+Is0zUShHv9LCLpWV4eDCOsjYWOI3GcLB3Ejlv4TJ/ZDR6upSXk1hDfnth5kvv0su6PZhB5fLZj0DUCYmXng36uLKu2hMdMSpDTrDZnbdjdZMBvhePtMiEoN3m1K78L/nipyLON65QrN2U0nB74znDmBNUJqrv1RcTP1I3y7DWp66dgD0tRpjId3/DNhrq2vlb0PuffBUuUOOBY6iGjga21m5SpbxtV3rioPK6cRlsoGLFcOvMAlOgFL27wOfD3pUr7o9VcRBCz5+geq5EF6Vv9X3/jzlw0N6gXTcguSOtDmTAtxGKjc87BUeR34erJXOdNCHAYqr4ROp5s+fXpKSgppoihKHpSXl9N7I1aD43DnQVZCEIBw4bOrFFCxPxJDfY8oqq4hc04Dl8u1c1u+qvG2WjX069fv2LFjhYWF2dnZf/7556lTp4xGY9XT3nnnnZYtW/bq1avaSszm59aBuBIgdLrR3ETVOJ+dKwhp/Nec1kAQRCUZ3ta8DAIbAlJnKS0tJQ9yc3OpwocPHw4cOHDQoEHuvjuGYUqlEkXRaoKR3J7A7xoAll/oMtMBoIqxXornNIgs0Y93koM9WytTeFop7oFJX3KoEoPBoNFocBy3y1HGD5M++pujtTQ1nvdAfXEvGtfPMd00odPpQK9OnIIiXG+ZHlWenpVx4KhPry6M6LEfjUZjNBqt945uO6nLmW+P4ZjlrSLz+qMbR/5q2DmGIYE1Qn7LKiVYZ4Qew6NvnEs36Cw/9ueP3G/RrX698Bp3kFYoFEKhsNpXPS9HoVDo9fpq57J5M7ZcohuQip57ZXzwX16XtnZtY14Vx1yiN6FQKJRKZXFxMcfrJ0lUQqPRoChKEOwbg1AqlaBKh5AVsNQl4jiuUCgMBoOdfULvQafTKZXKkpISGtt88vCBWq122bqfqZKHGdl9J87a+8OK0GAnHWBV2OsStVqtTqdjnT8EAKjVagzD2OgSFQoFj8erOh7k/ZDOXCAQMC3EMdjrElEUJZ9z1rW5TqcjJyWzzrew1yWWlpYajUbau5+HDx/+448/qpZX3enqRaZ114Y5j2ACc/bROC5E7mdvgKoqMtlz+xdaD1vZpuoLgNM/T5U02E/VIGWtGkJDQ0NDQ8njt956S61Wr1+/fuXKldQIM4nZbH7rrbdu375d7SuxVCq1Nu1vtKqCK1XFOE5/Ft7wPNCooe7Bsq4dBGI/Eomk6rBLUFBQ165d5fIawwZ0gWGYyWSSy+XVjYbLDXg7E+cfi8UtEvk+5OMd6LitHI+cwsmg5o8TPiW7TfW/dyj6yOfzCYKQy+X2Df3IQb83QdJyyham7BM26wL8nFys4wpcLhdBEOG4EXk79lKFZRf+8o+PlTSMsHEh4xAEwefzrR9LuVze7uXON367QpXc3X8jqkW0T32/6ipgDPKH2QNfqFqRy+UDxrU4vP0maeJm/PQfD2d/2qem8w0Gg1Ao9AbljqLX6yUSidOvRExh0yXSj1wO/HxFqmeZZosUBqc/awddoheh1+vLy8vlcjnrRn8IgkBRlI1fT7LLwUblLHWJOI4bjUaZTMa6rh2Xy5VKpTKZjN42f3fWVLFY/OG366iS9Jy8CW9/fGTL6rAQetYRstclIgjC4XBY95ADAMxmM4ZhbFRuNBp5PB4blUulUrlczjrl7HWJKIqazWa5XM66ACHZ/WTjuxZ7XaJMJqvUcaaFbt26BQQEVAoAAHa+1LmPxFdaZz0sunuNsW1lIE4QHOozfUmNoyL24OPjY20aDPZmK60a67J/IZ1tDWaz2WQy2ZPp1HUNvr6+H3744Zw5c15//fX9+/db/yk1NfXEiRPDhg2rVbD907tpbDQ3UelfA3Y/Ek4Ea71ZQ92DZV07CMR+AgMDyemfZ8+ejYqKIgvr16/vme8/hmHkOH61o+EC4mWFOYVaRIjxj/tye9KyiBBEjTIX/0loHpIWUv5AXHYVqd/f/go4HI7JZJJIJPYO/cR1Q9MTsHtnLabJyD3/k3DiCnr+HQcxm83BHdsaH2eWXLlOlhA4nr/nQNxH73A9EpZwDgzDOBxOpSezw8iuxf8VZN20JPo3GU2XNp8e8+UkDo9bXR3MQD7eXvKbOnhiu2vJ6UV5lo2OU68/yUwrbd4+vNqTxWKxSCTyEuUOIRaLJRIJ65TbdonuICrcX6XOJ4+fFpQ73WIOu0SvgXrIWTdohWEYj8dj3UMOnvVM2KicpS4Rx3GWukQAANngtCt/b/ZrvnL53M/+Ry04e5ydmzht3ulff2wY3sD1+tnrEnEcJwiCjY8KiqIYhrFROfmcsFG5SCSCLtGT8Hg8o9EokUhYFyAEAJjNZja+a7HXJYpEIgRBaFceFxeXk5NTWFhImo8ePSKTTgUH05mmm+3wBdz5KxLTUwvzMitHUiHeiY+/uHmHCL7ApRGkSlOTURTFcdwep6dWqyuVhISE0KIBAGAwGOwJENKlwc/Pb9++fQsXLly1apV1+W+//VZtgLCSYPtThlQSjCBIUBBtiUBoodrPwp4Lq34W9erVY6+GugfLunYQiBNEREQ0atSIaRXPwUPChUhbI2HJcY8ReUYiRYi0p6FqhMOJedN8awFVYE7/kRfcA3DdOCjP7zfLnHmT0FpSm5qz72B3knmtBrjvjraJHDui/HGmodCSeMRYUpqz91D01AlM6XESBPR5Y9De97brVJbdNIszC//ee7nLpOqznEN4PM6oGR02fXGaKtm7/urSLS9zuCzrsUNoISrc/06qJUCY/URl+2QIBAKpM8yeOAZBkLc+/YqKEWY9edp30uzTuzZF0xEjhEAgEAik7iGVSqlRI9bt5uBJGjcPadzcyTAPhI2Eh1eecq3X6+3Je6lSVe6DR0ZG0qjBngW+VTVQq0ec4Ntvv718+fKNGzeokqtXr1Z7ZiXB9ruUSoLr16/vsQnWdlLtZ2HPhe5+HpzT4MrzUMeAw6YQCDPIOKOs19iV4wepBYUugvi3QYJ7VNjGEjxnDy0113hHsY9gwJvWJaYzPxEaxtLTc4SCRtMnIlYr7RTXUkpv3GJKj9OIfSUJcxKtl2LePnIj924WY4K8ng69GzdpEUqZT7OVl088ZFAPhEEiw3yp48JijRGtvJE1BAKB1FVmvTJ645cfWk/uzs7L7ztxVkZuHoOqIBAIBAKBQCDsonnz5pVK7NwElMzoRsHhcCIinNz6hy4NwLWAEJfL/frrr61LcnJyqt1+vpJg+7dNrSTYC8NX3vBZxMXFVdrWkZHnoY4BA4QQenj48OGqVaumT58+cuTISZMmLVq06MiRIzqdjmld3gsPaShEWlEmRmQbidt0Vc6JmQM4Fcvt8ew9wFBIV+XVwn2pB7dZN8okjFr05Dob57sbSWR4gyHPLWHM3nPAqKj8Y+D9RLaKbpnYjjIJgjiz7rhOrWVQkpczYW5X63eFg1tv6LWV84xDXgQiwis27CQI8ORp5WwSEAgEUod5ffyoSjHCnKcF/SbNTs95wqAqCAQCgUAgEAiLqBoQysuza8JZSclzawaaNWsmFAqd0xAXF1cpqalzGqKionx9fWs62R569+5tnaAOx/Hy8vKqp1VqtIKCgmrjiFWpJLhly5ZOyXQjwcHBldJyOvdZCIXCZs2aOadBJpNVCuw5p4HL5cbHxzunoe4BA4QQV8nKyho5cmRsbOzChQu3bduWlJS0e/fu77//fvjw4Q0bNly5cqWdfvAFRMoZZW1q8QO0LSIUN+CEv1xh40Zzxk+01GwDwcA5iLhijb/58XXz/YvuvqkNQgf2kTeLqdCjN2Ru203gOIOSnKPLxF5BDSt+gHVq7dkNJ2h6lgBr3QAAIABJREFUUuogUU2COvWr+Nw1Kv3x3exbPApxncgwP2szJw9mGYVAIC8WM8aN/HH5R1VjhI+zcxlUBYFAIBAIBAJhC0FBQZUyOtoZjMnOzrY2u3Tp4rQGqVQaExNjXeJ5DSQIgowfP54yORxO1f3wAACtW7e2NjEMKygosKd+2gW7g1atWlmbdn4WWVlZ1mabNm1cyZ5Ki4bmzZvbk6j2BQEGCCEucfHixfbt2yclJVHbnFhTXFy8ePHixMTEqnl+IQAAPtJYgFTMVjARmSjxL12Vc6KnAEEAZRIFpwkVbZVXCyL15ye8bl2C/rmB0DH30SNI9GsTeNKKDczL07MK/jzLmB5n4fK5/ecP5QkrloTm3M68dwoGvWpkzMxOQlHFDrvJf9wtflrGoB4II0SFPx8ghNsQQiCQF4/pY0dsWv6xdYwwN78QxgghEAgEAoFAIHaSmJhobWZkZNhzVWZmprXZtWtXtmsgsQ7+BQUFcbncqudER0fHxsbaUFItJpPpyZPnUn3QIph2Bg8ebG3a+VlUCs5169athhNZo6GOAQOEEOd58ODBiBEjFAoFaQYEBDRq1Khq+D05OXnUqFFGo9HjAlmAjDPG2izHD9JWNVfCaTTDyibwxxvoWqFYE7yW/bmNrPJh6stMpze79Y62Efj5Rk162brk6dHk8ozsms73WvzDArtN7m1dcmXneUWOvXnMXzT8g6QDxlnl78XwA1uuM6gHwgghwXKBoOJlHa4ghEAgLybTxg7/ZeUyntXgxZOCot4TXk97bFdHGgKBQCAQCATyIjN8+HBr8+bNm/ZcZR2z4fF4w4YNY1YDgiAjRoxwRQOJ9XrKuLi4mk5zQnB2drZ1Br64uLimTZs6pdG9uP5ZAABGjhzpioZhw4ZZz4C8dcuuFRT0aqhj8Go/BQKpgVmzZqlUKolEsmDBgmnTppErvgmCuH79+vLly48cOUKdef78+WXLln355ZeelKfVWvZpS0hI4PEsj3r79u1//vlnsVjs7rtjVtg4DQHRfPCSCTwgTRPxSI/9ywexNi5xgOAB4EkSKP+PtIiyNCzvJAjpb/sie2TbgNN/Dr5tLoHqLbWlngdNunKadHauNoeglFv/TshbxAZ0bld6LYU0CRzP2Lq72ZJ5XBcWs9OOPW3erE/8k3vZ6dcsn6bZhJ1afWTUlxN5AibdOKnZ6afFffQfG3/l5MPSIks6+Bvn03sNfykmvj51govPOYOwVLmdLpFewur7ZOZYdh7NzlU6d2uWNjiowSWyAla3OfBKl1grLG1zHMdZqtzDLvHlxL44jk9/byn2bNChoFjR/9U3Tm5fHxsT7VBVLG1wAJUzAXSJHqYOuET2vrGwVznTQhzGTcq1Wu20adNu375NmiaTiTyodncxCORFo2/fvnK5XKPRkGZKSkqtl+Tn5+fn51Nm7969K21c5yg9evQIDAykFqjYE5RSKpXWAaEuXbpERka6ooGEz69I7tW3b9+aThs5cuTXX39NmfY0WqV/yjqXqVfRqFGjli1b3r17lzQfPHig1WqlUqmNSwiCsI7hhYeHu7g4MjQ0tGPHjteuXSPNrKwshUIRGBho+yrrTyEoKCghIcEVDXUMGCCEOMmJEycuXboUGxt7+PBh62TQCIJ06tTp8OHD33///aJFi6jylStXzp8/38WfBIcoLS0lD3JzK9IoZWZmDh48uNLidHeAYZhSqcQwrPasyvw+wOcBZZWZ9oGyOXTJ4AdN9ClfSpl4xmYVpznBsbUzsMFgIH/4qaiqg3AE7V4W/rWTsk2nNmhlYYRAYuMaWtDpdFqtlsPhVOqhSRK6lz3KwBSWOAGqKE3/dV/gKLc/A/aj0WiMRmO1qQmsaT6q7dOHeXqlJfKtzFNc2Jbc+uWO7hdYI2T2YOotzavoM7rp/h8rXrB2/3B5zoreCIKQplKpFAqFVN+PRSiVSqPRyLo12Q64RPqoHyyhAoSZOaXOPaguu0TGUCqVarVaoVCwbtBKo9GgKEp9W1mEUqkEAFSbdN3LYalLxHFcqVSiKKrX65nW4hg6nU6tVpeWlnqszft2brtu6btzl35LxQgLS0oHTHlz75oVzRpF2V8Pe12iVqvV6XSskw0AUKvVGIax0SWWlpbyeDw27kavVqs5HI4n31hogb0uEUVRtVqN47hAIGBai2PU1P30ftjrElUqldFopL37mZSUdPBgNcmcioqK6L0RBMJGxGLxrFmzVq5cSZqZmZkFBQX169e3ccn168/lcJoxY0ZNZ9oJn8+fM2fOsmXLSLOgoCAzMzM62tZEt3/++ce6X+a6BhJqhNn2ksTOnTt37NiRagcqlGUD60bj8XhTpkxxTakbmT9//uuvW3aYMpvN169f79Onj43zHz9+TA3RAwCmTZvm+u/m/PnzqVYlCOLatWtDhgyxcX5eXt7Tp08pc+rUqWz8EXQfsC0gTrJjx47Q0NAzZ86EhoZWe8LChQtzc3NXr15NmgaD4dChQ7NmzfKYQqlUWnUMvV69et26dfPANqQYhplMJrlcbkffso2OaGJGHlksfrrYJ59H0LSQXN4JL+vGKb1CWhxTqa/mpDn8VRtX8Pl8giDkcrnzvrLDcJCTAvLSSAvRqWS3D4K+bzhZm91wuVwEQeRyedVfGsGUcZlrtxCYZYRCdyfVP/4l37Yt3S3JTgiC4PP5tT+WctBr9oA/vzlE4Ja3nPRLDxq2bhTRxrHp/zRCbsjsnfv69hwSd+NMds4jS+/xaZb6v5uK9r0tbWUwGIRCoXcqt41er5dIJNVuhe3NOOISaSM6KvCvFMtu1fmF5TKZ3InxVRpcIkPo9fry8vJqXaKXQxAEiqJs/HqSwR42KmepS8Rx3Gg0ymQyicTtk5DohcvlSqVSmUzmyTafOGKwWCye8f4XVIywuFQ1/u2Pjvy0Kq5JIzsrYa9LRBCEw+Gw7iEHAJjNZgzD2KjcaDTyeDw2KpdKpXK5nHXK2esSURQ1m81yuZx1AUIb3U8vh70uUSaT2dVxdpBKi5Mo2NhEEIg7eOedd9atW0cOsRIEkZSUNHv2bBvnX7p0iTqOiYkZO3as6xrmzZu3cuVKnU5HmocOHXrnnXfs1BAeHv7qq7YGQu3nzJkz5MGQIUNatGhh48wlS5aMHj2aPP7vv//S0tJspCQFAFy+fJk6fuWVVxo2bOiqVrcxefLkpUuXUjsmJiUl2Q4QWn8WUql0/vz5rmsYN27cJ598kp6eTmmwHSC01iAUCm0/PNXCxnnA9sOyrh3ES8Bx/NixY1u3bq0pOkjyxRdf7Ny5k3rNsmdJNY0EBASQMxTOnj0bFWWZHB0aGuqB/KIAAAzDyHF8e0bDecQopfkbyjQLTvpwW9s43yGIZnPNf18HuGWKOvfpPmHkCCAKqel8DodjMpkkEokrQz/E0Hf0P78FMNRi3zsjjO/DjW7jdIV2YjabJRJJ1R6apGmMcUj/vKSTVEnBgWMBsc2Egf7ulmQPZF4aezrzjdrEtBne8eahvy02Aa5sOzc+Lkrqz0y4iHy8vXYYYtL8Hv+bf4j6ET+y/VanhGZCEQ8AIBaLRSKR1yq3gVgslkgkrFPukEuki+ioIOpYbzBp9Xi9IIe/KbS4REagHnLWDVphGMbj8Vj3kAMADAYD8GKXaAOWukQcx1nqEgEAZIN7WPmkkUNEItGrCz4yPUvOVlyqHDbzneSdG+Obxdi+loS9LhHHcYIg2PiooCiKYRgblZPPCRuVi0Qi6BI9CY/HMxqNEomEdQFCUHP308thr0sUiUQIgtCuPDY2Nicnp6CggDQfPXo0aNAgAEBwcDC9N4JAWEpYWNhrr722adMm0jx48KCNACFBEIcOHaLMTz/9tNZ0WeSkItunBQcHz549e9WqVZQG2zEe62XBH330ES0/MQqFYteuXQAAPp//+eef2z55xIgR8fHx9+7do/TYCBA+efKEWkEoEAg++ugjGzXjOJ6RkVFcXNyiRQtG5o4LBILFixcvWLCANA8ePLhq1Sob6S6sP4t58+YFBQXVdCYJhmG15hXgcrnvv/8+tQwpKSlp48aNNh4haw2zZs0KCwuzraEqKIpam6zLvmMblr3HQLyEhw8fhoeHv/zyy7ZPk8vlY8aMocySkhI366qeiIiIRs/wTHTQUQRISz7ShDJR4p6J+I+uyhFxA06E1SeFG83pm+mqvMabBoTxe1hPzyHQEz8AlMl0N6EDE+RWg19mvSFz+x4CxxmU5Bwdx3UPadKAMg0a/dkNJ+r2TBanadw8pE33iuWVyhJt8h93GdQD8TBR4X7WZk6eiiklEAgE4iWMGdR334ZvhVb97eJSZZ+Js27eu8+gKggEAoFAmEUikVCjRuHh4UzLgUC8jmXLlgUEBJDHZ8+ezczMrOnM5ORkal1Xnz59bC/dy8nJGThwoEwm8/HxmTNnju0s2Z9++imV2vTKlSv379f4+nr58mUqMte5c2e6stktWrRIrVYDAJYuXdq2bVvbJ3M4nLVr11Jhs+3bt9vYP3Xz5s3UsN7777/frFmzms68fv16fHx8kyZNunbtWr9+/eXLlzMyHjhnzpz4+HjyOCcnJzk5uaYzs7KyTp60rNaIjo7+5JNPbFSrVqunTJkil8tlMtno0aNt53mePn16hw4dyOOioqIjR47UdGZBQUFSUhJ53KBBAypXrUNUSlJYKV7IdmCAEOIMYWFhJ0+etGczjM6dO1PHcPqVDaSc4damFj9MY+WchlOAoGKzVqLwDKH6l8b6q4XfaTQntCJRKqEuRC/utHG+20GQ6KkTeNKKyYbljzML/jzHoCLn4HA5/ecNEYgrhvZy72bdOfoPg5K8mbFvdObxK+YQHd99q7QIbjX/ohAZ9lyAMDdPzZQSCAQC8R6GJPT4Y/031jFCpbps4NS3Uv5NY1AVBAKBQCAQCMRrCQ4O3rBhA3lsMpm++uqrak8zm81UBCgwMHDLli02ho4xDBs5cuSpU6cwDNPpdBs3bly8eLENDX5+fps3byYrxHF8xYoV1Z5GEMTHH39MHvv6+m7durWmdd5Xr15t0aKFj49Px44dt2zZYjvks2LFih07dgAARowYsWTJEhtnUvTu3XvOnDnk8ePHj/fs2VPtafn5+WvXriWPO3bs+OGHH9ZUYUFBwdChQ6nIqFar/fjjj53Iluk6fD5/27ZtQqGQNG2E3D799FMyMioQCLZv3257Cfjs2bN37txpMBhMJtPBgwcnTJhg42Qul7t161aqwmXLltUUK126dCkZ3iMv8fX1tfnPVQ+5ETtFWVmZE5V4LTBACHEGHx8fKmmnbayDghEREW5TxHqESBs+UrHUyUjcNhEZtNXOlXAaTbeyCfzRWkC4efEcwhEMWQC4FRmosH+S8Cep7r2pTQT+vlGTnlv2+vToqfKMbKb0OI1PiF+PaX2tS67tuVj0OJ8pPd5McKhPwqjmlIkasaTtMJj6ohAZ7mfdGcl+omROCwQCgXgRg/t037fhW5Gwcozwn7swRgiBQCAQCAQCqYbx48dTsaitW7ceO3as6jnvv/8+mSpTJBIdOHCgUSNbG13fu3fv1q1b1iW//PILbjPR17Bhw6j0m7t27dq3b1/Vcz777LMLFy4AAAQCwd69e2NjY2uqbdKkSffu3dNoNDdu3Jg5c2ZMTMzKlSvJNYLWlJSUvPbaa+R9x44d+/vvv9ufWXrlypXdunUjjxctWlR15aVer3/llVdUKhUAICoq6tChQza2ZTl8+HBxcXGlwjVr1pw7x8Dih/bt21NxzcuXL3///fdVz9m6devOnTsBAAiCbNy4sWfPnjYq1Ov1lT7Qc+fOZWfbGrONj4+nYsY3b95cvnx51XN27969ebMlkd6aNWsGDhxo67+qARzH//vvuVR/Dx8+dKIerwUGCCHuxdqx2nYEkCqLCJNorJwTOhiRVyxRJzQPicLTNNZf/U2DG/K7jKuwCQI9vqZiY0Im8G/TIqhLhwpFOJ65bY/ZYGBQknM06xXfpHvFWw5uxpPXHjPp69QKd7oYNqWdj39FbuGrf/6X9bDyGxWkTiIW8YMCpJSZ8wSmGIVAIBALib277d/4nXWMUFWmGfTaWzfuMDmXCwKBQCAQCATitaxcuZJM12k2m1955ZUdO3ZQa7ays7OHDRu2cuVKAEBQUNDp06drHQSulLMRAGAymcxms+2rli1bRu5+RxDE1KlTf/rpJyqmmJeXN3r0aHI1m7+//4kTJ2xEgwiCIMNyFLm5uYsXL46IiJg+ffr69et///33tWvXTp48uXHjxjt27JBIJN9+++3evXsd2s5QKBQePXq0U6dOAIDi4uKBAwdevnyZ+uuVK1c6dOhAhjPbtGlz5cqV0NBQG7UpFIpqy6nFnR5m5syZK1euJONz77333ooVK6hVmEqlcvbs2a+//joAQCQS7dq1a/r06bbqAsBkMlUND9vOOgsAmDRp0vr168ndBz/99NOlS5cano3xlpWVzZs3b/LkyQRBCASCbdu2vfXWW47/l8BsNr/77ruVIscff/xxbm6uE7V5JzBACHEvT548IQ8iIiKoSROegfqlmT9//rhnLF261PZsFAYRIu15SMUiSyNxk85FhAiHEzPHusCcvglgbs+1yO86gRNcsdgUVzwxXdrl7pvaJnL8CGFwxY64xhJF7u90xmI9Rq8Z/X3qVayLVxcor+xkX8ZUDyCWCIZNaUeZBEH88eNfDOqBeBLrLKMwxSgEAoFYM7Bn130bqokRHvzzLIOqIBAIBALxMBiGffLJJ9So0aJFi8hyAwtnEkMgbgVBkE2bNv3www9SqVSj0bz22mvR0dHDhg3r27dv06ZNjx49CgAYM2bM7du37RkBbtmyZaUtPxMTE/l8fq0Xrlq1avPmzT4+PjqdbtasWQ0bNhw6dGj//v1jYmIOHjwIABg2bNitW7cSEhJs/y8bNmzg8XiVyjUazbZt2+bOnTt+/Pj58+f/+uuvRqNx1qxZaWlpixcvtmezrUr4+fmdP39+9uzZHA7n0aNHPXv2bNmy5ejRo9u3b9+jR4/U1FQ+n//BBx9cvnw5LCzMdlVdunSptvzKlSuOqqKLhQsXHjx4MCQkxGw2f/TRR5GRkYMGDRo8eHBUVBS5sWK3bt2uX7/+yiuv1FqVj49P9+7drUtiY2ObNm1a0/kUb7755tGjR8PCwgiC+PzzzyMjIwcMGDB06NDIyMh169bhON6hQ4dr16699tprDv1rmzZtmjBhQt++fQMDA6uuj7xz5050dHTbtm1Hjx7tXNzRq0AY2coS8uIwePDgEydOAAA+/vhj53YBdRqxWFzt+9zu3bv79u1btZxezGZzaWmpj48PlZHZHgjBbSD7xaqWAETzDsClNV/hGLKc7wRlf1OmSd5WE/k+QJ6bKGA0GsvKygICAsj5F67DLc4QH/myIqMpghj6L8AiWtFSuTV6vb68vDwoKKjWH2w0r6Dw592E1bykoHHDJc1r3ATY3ZSXlxsMhqCgoNpPfR5FZtGFNX/iZqptQa/5g4JjQmjWVzNkeoTo6Ohaz2QW3Iz/8N7ZoryKjOFj3opv1iZUJpMxqMo5iouLpVKp7bztXohzLtF1ln538cRZywbpfD7n13UjGkb42b6kErS7RI9RXFxcWFjYvHlzJ/owzFJeXo6iaEBAANNCHIacgurn59gz5g2UlJSIRCLWuUSCIEpKSmQymVgsrv1sb0Kv16enpzds2NAb2vz83ynT3v/CiJqoEgRBZowd/sncGfwqIybsdYk6nU6r1bJxQ/SysjIMw9joEktLS3k8no+PD9NCHCYtLS0gIKB+/fpMC3EM9rpEk8mkUqn8/PzsGRT2Kuzvfnob7HWJOTk5KIrGxMTQW+2JEyeqHTiWSCRarZbeezHF+++//8033wAAvv766/fee49pORDW8+TJk7Vr1+7bty8jw7KwITg4ODExcd68ee3bt7e/nqtXr06YMIFcidWlS5f9+/fbXkJnTX5+/rp16/74449Hjx6RJYGBgQMHDpw7d25NgbSqXLlyZdWqVVevXi0oKLAOkQgEgkaNGnXs2LFv377Dhw+npYuXkpLyww8/nDhxgkoTGhMTM2rUqHnz5tm/J9f777//3Xff4TjO5/NHjx59//79u3fv8ng8k8lU+8VuQ6VSbdq0adeuXampqeSyHLlc3rdv3zfeeGPAgAH2/0pmZGSMHj36zp07AIAmTZrs27evZcuWdl6r0Wg2b97866+/3r17l9QglUr79Okze/bsIUOGOPFLfejQITvziAoEAtp3ggwICFAqlQCA0tJSf39/eiuvCgwQQtyIVqsNCgoyGAz+/v7p6ekeeKCt8fHxqbSDKABAJBJdvny5WTO3h4IwDFMqlXK53Eby6Oog9MIvcKRiMzku3lSEvg0APaMwiLFA+O8bAK/42cAajMPCp1qfYzAYNBqNv79/1Xk0TsO5shPcPFJhCyXE+K8JX5rjWGQ/JzAw0J5s4Iozl4pPVkyQ54hE0Yve4Ps5s1Gt65SVlaEo6kSAEABw5/A/d5JuUKY8xHf45+O4fNo+O9ukp6cDABo3buyZ27lCWsrTzZ9XrLAMa+Q7+4uebBy0Ki4uFovF3jCm7BDOukRX2XPw3xVrLlJmu1YNtq0e5dCboTtcomcoLi7Oz8+Pj4+3f4MEL6GsrMxkMgUGBjItxGHIN3gPv+3QQklJiUAgYJ1LxHFcoVCwcc6ETqd7/Phxw4YNvaTNr6TcGTd3ifb5BD6t45pt++az6PAG1oXsdYnl5eV6vZ6No+FqtRrDMDa6RIVCwePxfH2Zebt2hXv37gUGBto/QOklsNcloiiqVqt9fX0dStrmDTjU/fQq2OsSs7OzjUajPQtKHOLevXu9evWiMuNR+Pv7l5aW0nsvpoABQoibUCqVSqVSIpHUq1fPOWdoMBju3bsnkUheeukl52pQq9UKhUIsFoeEhDjtkAmCUCgUarUaQRBX/h17blRYWKjT6fz9/Z3rOebn52dkZMTHx/v6+m7evHn27Nk+Pj5Vt05kBK1WW1hYKBQKQ0JCnOsvmM3mtLQ0k8nUokUL52YO6XS6goICoVBYr1491s09ovBwgJBlXTuIE5SUlPz999+1n2cHcrncoX0Et2/fTq7h+/jjjz0/XlavXj0yQPjDDz+QM0A5HE6bNm1s75FLFxiGGY1GmUzm6Gi4kJipNK8gAEaaZs5/hOSQnDPV9lX2IovBG8/GH62jCnhP/xAGxiPBvSpKeDyz2SyTyegc+uk7w/AkFS96ljHVqOOeXCWa+j3g0dkJ5HA4BEHIZDJ7fsWlwwYa0rM0jyyScIOheP+xpvNnAiamf+I4bjAYnAv5dJ3QK//f3KKMAtLUFKofJt/rOK677avoghyAYEWwqmOvphdaPXh4xxJ9z8tQ5zwo65zQwPZVXohWq5VKpaxoc2ucdokuMmlMu+17bz8tKCPNlDtPj51OnzDKgRXMbnGJHkGr1UokEjtdoleB4ziKoqx7yAEA5LgSG5XrdDo2riDEcVyv18tkMtaNhnM4HPLr6SVtPrBXt6SfVo2b+16pqowqvJ32sM/E2T9//dmI/r2pQva6RAAAgiBe0uAOgWEYhmFsVG4wGHg8HhuVSyQS8hvKtBDHYK9LRFHUZDLJZDLWBQgd6n56Gyx1iRKJhMvl0q68c+fOqampd+7cIRed5ObmkllGWTdRAALxPE5HuShEIpFDiw6r4uvr6/qEJARBgoKCnJu47+iNXMxSEBoaSnkncnct2qdNOI1UKnVx1J3L5bZo0cKVGiQSiWdG/usS7OvaQRwlJSVl6NChtFQVGxublpZm58lms3nVqlUAgFatWs2fP58WAQ5BLR9OTEykPQeF++AjTeWc6WX4ZqpEhyfzQISYYyt3tv1wIsaC8nQ8/8SzAsKc9hW3XQQic6f35AmEL39q2Daf0FsGnvCiDPT4asFwxmauIRxO9LSJqV+uNOss8+XLHjwqPHsppK8DIXBvAOEgfd4c9MeSX6hEozeTrjfpGusfzr6Z5u5m5PSOX79dsd/kyd13O/V5iW0JgSCOIZEIln84cNr8P6iSFWvO9eneOCSYfQMiEAgE4j56d26fcmTPxLc/+OvmXapQVaYZ8+bimRNGr/nsXQFrp99CIBAIBFIrMTEx1KhRamoqGSBkXfJYCATyonH16lUAwODBg5kWAmE3MEBY9wkPD582bRotVTVo4MBqmw0bNqSnp4vF4p07d7JxljGDiDk9TSBDj5+mSsrwHVwkVIDE0lI/p9lCQptJlD2w2Ga9+e4HvA6bAd+NKYAQ33qCoQuN+z4Hz9IaY6nnORHxvDaM/YwJ/H0jx4/M3LaHKnly6ITPS03EYSybJxgYGdxycLvbRyyJRnHMfPbHk6OXTYT9mUo0aVH/pTZhD27lkeaTDOWdv7Jad23IqCiI2+ndtdHgfi8dP23xeJpy47Lvz6z7agSzqiAQCMTbiAgNObfnpxXrf/5y3RZyCQXJT78duJn6YM8PXzWKCGNQHgQCgUAgEAgEAqEoKCg4dOiQSCR68803mdYCYTcwbFP3ad68+datWz180/z8/E8++QQAsHbtWheXBr+Y+HAmm4k8lLj/rMCsNq8L4H3BBXQsC+MIuPHLsH9mAVRpKTEUmFO/4Lb6FiBuzI7CjenI7zredOU3qgQ99SMnuCEnPM59N7VNYMe26nsPSm/cIk0CwzJ+3hX7wQKOp/bwo4uOY7tlXH9UVqgizcJHT++fuRvXz4E8ii8Io6Z3+GpeHmUe2nqjVZcoGEmt8yx9t9+V61nqMgNpHkt+MDKxeb+erFlZDoFAIJ6Bx+V+On9W2/iXpr+31DrdaMq/aR2GT9r81SdDendjUB4EAoFAIBAIBAIhefvttw0Gw9dff+1izlIIhGWD4BBWQBDEzJkz1Wr1zJkzZ8yYwZQMvd6SOnLkyJHUrldt27b94YfxZd/DAAAgAElEQVQfPLC9AW6FUxUgcmSeCiw1E0WWCoFaZV7lh3yMADrEC4KQ5p8TdxYB3EQWEKX/mNM3I41muazcFtxuk8z5j/CMFIuNY8akrwVTVyMSGhYvOic7YvyI8vRMtNQSWtPnFz5JOh4+mp6svHbieoNz+Nwe0/oe+99+quTqrgsRraOlAe7No0hqdsej4iaiY4Nj24bdv0ktIiy9eSmzTfeGjIpyDPd9Pd2KWx1LrQT6i997q+dHX52iSj77JrlT23CppHZ3yqxyV2CpbMBy5YBVLpGCpW1eB76e3ql8cO/u1w/9+uo7H1+7VZFuVK0pnzBvyRsTx7z7+iSvVW4Db25w20Dlnoelyr3csdigDihnWojDQOWVMBgMc+fOvXvX8qtHDSXpdDp6bwSBQCB0sXz58t9//3306NGLFy9mWguE9cAAIYR+li9ffuzYsd69e69bt45BGSUlJeRBamoqVZiSktK9e/eBAwe6++4YhimVShRFqdikM3AnA9+1AEEtdRJZJYYfQPkUAGhZ8FRfFPKqNH8bZRM5v2nwELWwrUajwXHcTYlhkS7TJMU5HE2x5aZlxbp9X+oGLXZ98aJOp9NqtQAAR3eJ9xsxqHjH78SzbkbR2ctEaD1RTLSLeuxHo9EYjUYX17GJGkgj2jbMvZlFmqjOeG7LyU7TetGgr2ZKS0sBAMXFxW69C730GdPkwa28Z5luwf4t18KaSli0iFChUOj1eqrXyhbocYkukNCtQftWof/cySfNpwVlK1YnL5jZsdYLDQaDW12i+1AoFEqlsri42FGXyDgajQZFUYL6lrIHpVIJADCbzUwLcRiFQiEUCskt7lkEjuMKhcJgMEgkEqa1OIZOp1MqlSUlJV7b5mI+d++aL7/Z/MuGXfupLyNBEBt37bvwd8qmLz9gXbpRrVar0+lY5w8BAGq1GsMwNrpEhULB4/FMJhPTQhyGdOYemFFKL+x1iSiKks8569rc6e4n47DXJZaWlhqNRtq7n0eOHNm2bVvV8sLCQnpvBIFAIK6j0+kWL168cePGyZMnb9myhY3OHOJtsGy0C+L9JCcnL126tFWrVocOHWL2FV8sFlcddvH19W3fvr1UKnX33TEMQ1FUKpW6NhrexIxNM/A3A/BsUEB4V8C9yscG0KERAOnLZiyPW0ytqiFkTzcSjb/EpcFSqdRdo+FSKRjyLtj3McAsgU9u/n3Z3SNE14kuVkzGeKRSqaO/jtK4ZuaenRXnr1psglAdSW648A2uROyiJDsxm808Hs/1x7Lz5F6FD/JRneWxf3Iru2n34vDWDV3VVzPkAIQHvlA00rSFNLZtg7SUp6RZ9ETz6LaiTfcoZlXZj06nE4vF7GpzQJtLdIml7yaMmb7XiGKk+fvh+0P7x7ZqXksuDi6Xi+O4G12i26AeFdZ1GMxmM5/PZ91DDgBAURSwzSWS6PV6gUDAOuU4jhsMBqlUyrrRcARBxGKxRCLx8jZfvnhu9w5t3/zkK1WZhipMe5w55PV31i19f3i/ngxqcxSCIBAE8fIGrxYMwzAMY6Nyg8FAy/ut5yF/PVmnnL0ukc/nkw856wKETnc/GYe9LlEikXC5XNqVd+jQQSaTlZeXV70dvTeCQCAQV1Cr1Tt37vz666/NZvMvv/wyefJkphVB6ggsG+2CeDlpaWnjx49v2LDhyZMnfX1pSBrpCkFBQSqVCgBw8ODBiIgIsjA6OjogIMADd8cwzGg0ymQyl0fDe3DxfC1+mLJR3kGJsJEQae2iQgvN3zXfzCXKnm12iBtlOd9i0V/JZDI3jobL4rH+b6AnfqAKkJQkUVRzbjOXNrbhcDgEQchkMid6aNIxw/SPs3RPLEEjk7qs5NCJxrOmuKLHfsj+vEzmajpQmUzW9dXe5zf/SZVc33OlcfumfJG7Ottkl8l15R5mzMzO928eoObiJ+9N7T4wji2LCLVarVQqZV2b0+cSnaf5S7I3Xuu0ZvMV0sRx4svVF4/sfI3Hs+UxeDye2Wx2r0t0D1qtViKROOcSmQXHcRRFWfeQg2cBQjYq1+l0IpGIdcpxHNfr9TKZjHXjdxwOh/x6en+bjx0yoFOblq/M/+Dv2/9ShWXl2qnvfjZ3yvivl7wt4PMZlOcQCIJ4f4NXhQwQslE5GSBko3KJREJ+Q5kW4hjsdYkoippMJplMxroAoSvdT8ZhqUskA4S0K2/VqlVWVlZWVhZpZmRkjBs3DgAQEhJC740gEAjEFf73v/8dOHBgwYIFb775Jut+7iHeDPveY1iK2Ww+efJkZmYmXRU+efLk3Llzx48fv3//vsFgoKtaV8jLy0tMTJRIJMnJyV61P2p8fHy7Z3gmOkgvMs5YIdLWqoBQm9djRB49tXME3JbLgTCIKkCMRbLc1YBwb4Y0XutBvJbW6yAJ9Oj3uCLXrTe1AcLjRU+fyLEa5FLe+ldx7R+m9DhNXELLsPhIyiwvKbv+xxUG9XgnUU2Dm7Wp8FFPs5XXz6YzqAfiMd6a1qVJowp39+BR8ZZd1xnUA4FAIN5PZIP6F/ZueW/2VOuZNARBrN3xW8/xMzKfTa6CQCAQCIS9BAYGUqNGcXFxTMuBQCCQali4cOGDBw8WLVoEo4MQeoEBQreD4/gff/wRHx+fmJh47tw5F2vDMGzz5s0tW7aMiIhISEgYMmRIXFxccHDwm2++ef/+/dqvdxtKpXLQoEFarfbUqVPR0Z7bvO3FAPHlzuEh4ZRNAL0aX00AmnbMFgRy4z8HnIrYGF/7L8jcQk/lNm47cA6nfgxlEqgePfgVMDEW7RaHhoSPGmxdkv3bIWNxCVN6nAQBvV4fwOVXLHW6ezylOAPunVCZfmNjrVcMHt7xD26mea97iBfC53O//iSRw6n47NdsvpL9RMWgJAgEAvF+eFzuinfn7d/4nZ+P3Lr8n7tpnUdOPn7uMlPCIBAIBAKBQCCQF4Tg4GC25L6CsAuW5ctiFyaTac+ePV9++eWjR49oqTAtLW3SpEm3b98GAPj7+/fv318sFj948OD69es//vjj1q1b//e//y1YsMDzzkKtVicmJmZkZCQnJ3vPZCudzhI/GzlyJJXULj4+fuPGjUKh0N13x62goz6BD5ivBEupoCBG5CuxtX6cRfSE+eVxSOM5xKM1FSVPfsdljUD9gTRUXhMcHn/kh+iOBYS+jCzAi7MMx9YIhr/rXH2uN3hQzy6q1AdlqQ8tFRqNmTv2NlkwG3Fz0hhaHxXgE+LbZniHf/b/RZoETpz78eTo5ZM4XPr/C1IzXco9Sf0on/iO4f/+/YQ0C5+o/zr9qEv/Jsyqsgd6nxaPQbdLdJ5WzeuPH9Fyz8E7pGkwYkuWHf91w4Safjm9R7mjsFQ2YLlywE6XyNI2rwNfT3YpH5rQ4/LvP09Z9OnN1AdUoUKlHjHrnbcmj/t6ydt8L07FzMYGJ4HKPQ9LlbPUsYA6oZxpIQ4DlVdCr9e/8cYb1Jx7vV5PHmi1WnpvBIFAIBCIF+K9vThWg6Lo9u3bv/zyy9xc2lImnjx5cvz48WVlZQCAadOmrVmzRi63zOH9+++/X3311cePHy9cuPDGjRs7d+7kcrl03bdWysrKBg0adPfu3aNHj3bt2tX2yVevXiWjiR4QplAoyIPU1FSqMCUlpU+fPoMGDXL33TEMUyqVKIrSt+EWF/AnA5+fALC8DZvAv8XanUA32PZl9iLoJvO/J1SeoQrMD78vM/lhokb01F89CLfnLMmp7wFh+afw+xfUfpFobIITdel0OvIN3pVNIOSD+5Zn5eJaSyC2PD0r4+Axn56dna7QHjQajdFopDG0H9m98cMraZoCNWmWZBdd23epSQL9wfvS0lIAQHFxMe01uxuFQtFxUNi963nEs60Ik7bfaNTCxx1hVHpRKBR6vZ7qtbIFN7hE53l9YvMzlx4XlVg6/NdScnf+fi0xoXG1JxsMBo1Gg+M46/YgVCgUSqWyuLiYdfviaDQaFEWp7yaLUCqVAACz2b05ut2BQqEQCoVGo5FpIY6B47hCoTAYDKzLsaPT6ZRKZUlJCevaXMzn/rh00cbfkrbtP0oVEgSx7pe9l/+59eMXSyJCvXS7Jq1Wq9PpWOcPAQBqtRrDMDa6RIVCwePxTCYT00IchnTmrNsPj70uEUVR8jlnXZvT0v1kBPa6xNLSUqPRSHv38/Dhw7/++mvV8qKiInpvBIFAIBCIF8Ky0S7vR6vVbtmy5dtvv83Lo2mLOAAAABcvXhw5ciQ5iPDqq6/+/PPP1rGETp06JScnt2nTRqVS7dmzx8fH58cff6Tx7jbQaDSJiYm3b99OSkpKSKglqPPo0aOxY8fu3LnTM9rEYnHVYRd/f/9OnTpRsVX3gWGYyWSSy+W0joa3Q80lRu7+igLxWRE/mo93pKf6pguI+wVImSWeihCoz5PvsRY/EDxfeuqvlpc6A9XL4O/fqQLh33uE4U1Bg1hHa+JyuQiCyOVyl7o6cjln3PDcbb9RBWXnrwbEx4qjwm1c5CIEQfD5fHofy+7TEk787yB4NpqUduJOk66x8mAfGm8BACD3h/fAF4p2DAZDYKCwdbfIW5ezyZLSQu39G8Wd+8fYvpBx9Hq9RCIhW55FuMclOolcDpbM67Hws5NUyZqfbvTr2SzAX1z1ZD6fTxCEXC5nXYBQr9eXl5e76hKZgCAIFEXZ6FjIcXA2KjcYDEKhkHXKcRw3Go0ymYx1o+FcLlcqlcpkMta1OekSV360sH+PLm9+8pVaU0796Xbaf0Nef2fT8o8G9HDvtCrnQBCEw+GwrsEBAGazGcMwNio3Go08Ho+NyqVSqVwuZ51y9rpEFEXNZrNcLmddgJCe7icTsNclymQy2jvOAIAuXbr4+vqq1epK5VKplN4bQSAQCATihbBstMv76d69u5+f38KFCxs0aPDbb78lJSW5XmdWVtaoUaPIWFdkZOT69eurrjRq2LDhihUr5syZAwDYtGlTTEzM4sWLXb+1bZRK5eDBg2/dunXo0KEBAwZUPQHDMI1Go1KpSktLjx07tnr1aplM1rt3b3cLIwkKClKpVACAgwcPRkREAAD4fH50dLRn3oMxDCPH8ekdDZeAUWV4sR6/+KyAMPJ+kXCj+AhN+z62XGa6PhNBLYsvEWORIP0bbuvvAOLONal9phpLMs3pNywmjiHHvxdNX4vIAhytyWw2SyQSF3toko7t9A/TS65a9BA4/nTPgeYfvcNxW2ZaDMM4HA69nfno1jGxfVrcP/uv5RZG043dl4d+8DKNtwAAkI8364YhAABisVgkEo2a0en2lRxqVv6fv93rOSSex/PqHr5YLJZIJKxrcze5RKcZNaTVibPpyRcsCcBVZYZVm6+t/HxI1TM5HI7JZJJIJKwLEJIPuesu0fNgGMbj8Vj3kAMADAYDYLNLZJ1yHMdZ6hIBAGSDs0455RLHDR3YqU3LV+Z/cP3OPeqvCpV67Nz3504Z/80HC7wt3SiO4wRBsK7BAQAoimIYxkbl5E8nG5WLRCLoEj0Jj8czGo0SiYR1AUJAU/fT87DXJYpEIgRBaFceHx+fk5ND7Q2UkZExbtw4AEC9evXovREEAoFAIF4Iy95jvJ+LFy+eO3du4cKFEyZM2LdvX7NmzVyvc/bs2WQePwDAe++95+NT/RqgGTNmhIWFkccfffTRnTt3XL+1DQoLCxMSEq5du2Y0GhMTE5Hq4PP5AQEBjRo1at++/WeffaZUKidNmuT5t+f4+Ph27dq1a9euZcuWbJwlVwk5ZxofqUiFRwBUbV6NgzJ6ahcE4s0+IZCKMR1CeRNPd/OCVAQRDH8X8atfcVOtEj38DcAZy9IWOW6kqF4wZRqLFbkHjjElxmm6Te4j9a9YZ5ZzO/PxXw8Z1OOFNIjy79Cn4tukKNRc/RM20YvCsiUD5LKKqP+BY/cu/53FnBwIBAJhGVFhoef2bJ43dYJ1IUEQa3f8NmDynLxCmJYNAoFAIKzBx8en3TPi4ujfmwMCgUAgEK8FBghpxjr+xOPx+vTp42KFv/3226lTp6jKp02bVtOZAoFgypQp5DGKovPmzXPx1jbIycnp2bPn7du3Hb1w0qRJ7tBTLRiGkQfffvvtkmfs2bPHYwLcBAL4ftx3OMCfKjEDhcq8mgAYLfUT8lht/desS/Cc3/H8E7RUXhOISCYc8zHgVUwaNWffNV3Y4dab2oAjFERPn4hY7eVZfPEv1d1UG5d4IQKJsOvk3tYll7efMWoNDMnxUka81t5638GjO29iJvbtHwZxgpBg2cI3eliXfLD8pE7Pvq2SIBAIhCmEAsGqTxbv2/Ctn89zM/Au3bjZbujEkxeuMiUMAoFAIBCH2LlzJzVqtGrVKrKQGlOCQCAQCKQO4125X+oe1JI+58BxfNmyZZQ5YMAA27kUXn755a+++oo8vnTp0tGjR4cOHeqKgGopLCzs0aNHTk6Ooxe2bds2Pj6edj01UVhYSB5s3rzZulwmk3Xp0sXddzebzaWlpRiGCd2Ul5I7BcjWAcQSyTAR/xXrtnB0NCSQNBqNZaB9pH+WUHmaKjQ/WKk2+Zsl7tyejePD7T5NeH4TVWC6tl8rC8WiO9hZAbnhFrmhAg16pCLfnp1V565QBRk79obNm8GV0b8PQXl5ucFgcMfiWv9mwQ3iI57eyyVNnUp7buup9q90pat+pVIJACgpKaGrQo9RWloqEolQFOWKQKtu4bcuWhxaaVH5yT9SOg9oxKw8G5SWlhoMBjKTIYtwu0t0isEJkQePh9xNs/xYPHmq/mbtmbnT21ufYzQay8rKAABcrjszLbuB0tJSlUpVUlLCurRX5eXlKIoyrcIZyMTmOI4zLcRhKJfItBDHwHG8tLQURVGdTse0FsfQ6/VkBn7WtXm1LrF72xbHf14988PlqY8yqMISpWrY62/PGDv8s/kzvSHdqFar1el0rPPkAICysjKWjlCXlpbyeDw2ilepVAiCeNUbiz2w1yWaTCaVSoXjOJ/PZ1qLY9Dc/fQg7HWJSqUSRVHau5/nz5+nZttbk5eXR++NIBAIBALxQpjvrdVtAgIc3kTNmsOHD6elpVFmYmKi7fNbt27t7+9PDtkDAL7//nt3BAhNJtMrr7zixIWur6d0iGpf0xEEEYvFHniDx3Gc8wy33IBojBhfMYt+rSgQXAbmMI6pm4sVk5q1DWbwTE+55ZbHDyFM0pzvdE2/xXm+LtZvA6JZD3PBQ+6D81SB4MJPRGAE4dfAnss5VtCixz+huyE9y5Bj6RXgOn3JgeOhU8eBKpuAugjZq3TTo9JuQteiZQcwo2VdVMaVhw07NK7XNJSWyknNrOsSAwA4HA7VmR8wrvmdK09ws2VM/+z++x0SovkCL+0wu9exuA23u0Sn4HDAR293n/TWQQyzfPq/7v93QO9GL8UEWZ3DsX5aWATtLtFjuNUlupW64RLZBUsfcrY7lqrKY6IiTm5b+8Xan37ae4gqJAhiy+9JqY8yNy3/oH5QoMfFPgdLHxUAlf+fvfsOaOJ8HwD+3iUhEECWoAwHKE5U3AOcOBAcCG6lONsvtdpaZ3H9tNaBbd17geJWcOPEBe4NgiJLRZENAULm3e+P0OQMEEK4kASfz19539y99ySEy+Wed2gDRF7L9PeKpQ5Eru1Aqk26lg3tkVfWEV8f3yIAas2XL19CQkJu3bqVnp7OZrMdHR3d3NymTJlSv379qnemSWZmZmho6M2bNz99+sRkMh0dHXv27Dl16tQGDRrQfiySJMeNG/fs2TOE0IABA/bu3atGIy9fvjxy5MiDBw8yMzOtrKwcHR29vLzGjh2rd92SyissLDx8+PDVq1dTU1NJknR0dOzYseP06dObNm1aazEUFRUdOXLkypUrycnJEomkadOmrq6u06dPb9asWdU7qyYtLW39+vXXrl2LjY3Vx6V8K4ORJKntGOqyvXv3/vjjj7Li/v37p02bpvruI0eOPH/+vKz44sULV1dX5buMGDHiwoULsuL79++bN9fkqC8d1qxZs5SUFITQggULrKysEEIGBgaurq61k6cUi8W5ublmZmaGhoaaO0oREcojrlMqGBaMxQZY65q0yefzCwsLraysmARX/GQmEsh752Hm7RiuGxGuya6dEhH/8AIiI1FWgVs5sKdsxgyMqtyVx+MVFRVZW1vTeB0vyMmN/2ujhC+Q1TSZ4Gvdh+YRqFwul8/na24J9BfnHz84ckdWNLezHBc8hcGiIQEmXcjd2dm55k3VsqysLENDQ9mSrgeDb8dcka8+OGG2m8eo2hvuXC2ZmZnGxsYmJiZVb6pLaueUqJ7gbXd2hjyUFdu3sQ0P8WfgZf0A5KdEHRgBUy2ZmZkZGRnt27fXu1sbXC5XKBTW5g9LukhXjK5h5zCtUDgl6guCILKzs01NTfXutxmPx0tMTHRyctK797zKU2LE1agZi1cVFhVTK60tLUL+XjmkD20TGKihuLi4pKREE3eLNK2goEAsFuvjKTEnJ4fJZJqbm2s7kGp7/fq1lZVVDacCqn36e0oUCoX5+fkWFhYGBgZVb61LNPHzs3bo7ykxNTVVIBC0atWK9pavX7/+/Plz6ePMzEzpLKOtWrVKSEig/VhasWjRouDgYITQ+vXrFy5cqO1wgH4rKSlZtmzZtm3bRCLFFToMDQ3nzJnz559/avqUXlpaunLlyk2bNgkEAoWnDAwMAgMD161bR+/Nhy1btvz666/Sx8OHD6ferlfFhw8fZs+eTb1jL2Ntbb1hw4aAgAAaotQGsVi8efPmlStXFhUVKTyF4/iECRO2b99uZqbB0SYIIYIgtm/fvmzZssLCwvIx+Pn57dy5U5oaUFtqauqmTZt2794t/cgVFRVp9L6cpaWldABYXl6ehYVFldvXkJ5dx+idmpwQ8/Lyrly5Qm1KlaWS27VrRy2ePHlS7QD0newy/ccff1y0aNGiRYvmzp1by6MYNc0Un2yAUT8VkkLJZgmZTU/rBpaMdn9S04FkQSyRvIuexivDYLF9l2BG8vtlRG66MHKLZg9aOXZ9q0ajh1NrPp0+X/rlq7biUU8H7y7WjvKffwVf8l6cf6zFeHTQ8B86M5nyL8TLR18IBfo3IxZQz28/ujs1kWd0XsdnHDrxTIvxAACA/ho1ZMCD8EPtW7egVmbn5Q+b/mvQhq0Sif5NwAsAAOB7MGjQoEX/mT59urRSH2dhBUDTUlJSunXrtnHjRpFI1L59+/PnzxcWFmZmZl68eLFbt258Pj84ONjd3f3Tp0+ai+HTp089e/Zcv369QCBo06ZNeHh4fn5+VlbWlStX3NzchELh5s2be/bsKR00QouEhITFixervfv169ddXV2l2UEfH58HDx6UlJSkpKTs37+/UaNG2dnZU6ZM8ff317ulZBBC+fn5np6e8+fPLyoqcnBwCA0Nzc7OzsvLu3v37rBhwwiCOHLkiKurq6wHhiZwudzhw4fPmTOnsLCwYcOG+/bt+/r1a0FBQUxMjK+vL0EQp06dcnV1ffjwYdVtVSQ5Ofmnn35q0aLFli1byiek6wY96w6vd2qSILx8+TJ1YZJGjRqp0ppCEvHq1atBQUFqx6DXZKsv+Pj4VDZY28rKaufOnU2aNKH96GIK2hunMkY/i9FKApUlBQlUnC/ZaIaWYEjN8enfhM1pgZrPRYnBsmeJT6cJjiNq4FnjwCvHsWAMXyA+tQKRZXeRJPF3hLYt8E7Dle8ni5zeLpzm3Tubv3lX8CJWWiRE4pSQYy1+/xlj0vZroRY+Ku7TPc4uP0YSZUPGn0U8aNq1mbldTYe5SGPWx9VlFN5z8/pG3Qc1j4ksG7pamMu7dS7Ow1cXBxHWzomFdrV2SlQDjqNViwb6zzopm1Lh7x13+7s7OdjWQ3r7hiONnRJrgV6/56hOnBL1BUEQehq5Lp8SlVMlbKdGdneP71vy97bth+X9FEmSDN4d+uD569B/VtnZWGs+UkV6+oYjPY8cwSmxFtWBU6L+XrHob+TaDqTa6Io8NTU1MDBQtjqPAtk9+pKSkhoeCIA6JiEhoU+fPtJ1QAcPHnzu3DnpKL169ep5e3t7enqOGzfuzJkzT548GTRo0L1796yt6b/qS05Odnd3//r1K0KoT58+ly9fNjY2lj41ZMiQQYMGBQQEhIWFvXz5cuDAgdHR0XZ2Ki1apIRIJAoICCgtLVVv95MnT06aNEl64goKCvrrr7+k9Y6Ojo6OjsOHD+/Tp8/bt2/DwsJKSkpOnTqlR10TcnJyevfu/fbtW4RQmzZtbt26JZsarXfv3r179w4KClq7dm1aWtrgwYPv3r2rysCn6iooKOjbt+/r168RQs2bN799+7ZsEohevXr16tXrr7/+Wrp0aXp6uqen561btzp27Kh643FxccHBwUePHpVIJLRHrlMgQai7YmJiqEUHBwdV9lKYV/fx48d8Pl8Hp3SrBbm5udIHb968UbLZ6tWrZYPEaSSRSAoLC01MTGphphSWoZeV01EMLxvaL0EfPxf+XfBpBELqLJUnFAqLi4vNzMz++06yt2O7WQrkn0bi3cbUDEkpk/6sKgXDytnDKlE+e6oo6kB6MSq1dFSyD5/P5/F4WVlZGN1rBKL2LdG7JMQruxoo/fQl9tAxvFsV8/2qrqSkRCAQZGVl0dVghRp2bpTx5KP0sUQkubLlnMukrmp9RuSkncL0sQdNXl4em82WXUcihJy7Gj+8hkkkZTmii2HPLJtIWGyduzLLy8szMjIyMqp60l2dUpunRDUYG6B+Pe1u3f8iLfJKRfOWRSz7rTOq4JSoN/Ly8nJychgMBv2nRA0rKSkRiUT6OCsdl8tFCOndpJGoolOiXiBJMj8/n8Ph6N2FLp/P//jxo0Ag0Lv3XPVT4tSRgxta1Fu7J4xH6Qp978mLzsMmrpozvadrbXfBKS0tLS0tzc6maZqNWlRcXCwWi/XxlFhQUMBkMvVuUnSEUOjgJXgAACAASURBVHJycm5ubmWZA52lv6dEsVjM5XLr1aund9O5a/Dnp4bp7ynx8+fPIpGo5gnCv//+++bNm1Vupulf6ADol8zMTG9vb2l20N7e/tixYwrfOAwG48CBA0+fPv3w4cO7d++8vLzu3LlD78TXubm5Xl5e0uygtbX1yZMnFS6ncRzfvXv3o0eP3r9/n5qa6unpGR0dXcMfaMuXL3/y5Il6+8bExAQEBEjPWkOGDFm9erXCBtbW1seOHevWrZtIJIqIiAgMDNyzZ09Noq01fD7fx8dHmh00MjI6depU+YWTVq9eHR0dfe/evdzc3CFDhjx48EDF7IaKRCLR6NGjpdlBAwODEydOlJ8iPigo6O7du9euXSssLBw6dOj9+/ednJyqbPnTp0+zZ8+OjIxs1apV27ZtpYeow/TsCuy7cv/+fWpRxX8hhXnk+Xx+fHx8p06d6IxMT3A4nCrzFkwmc+jQofSenqQkEgmHw6lXr16trDTrQJYyCOODCJXlNozM3nMM3uGCgWq0JRAIuFyupaWl/NYPOUecks8siZeWcCR25B0sdg4mWJpcZslhskSYz0h7Ki1hpMTh9Um+7yqSU+nMy6WlpcXFxVZWVprowlk6ZnjmoVPovxFGxMt4m47tDR0b09J4cXExn8/X9OoyDSc2vJoSUZJbtiwQ91OBKL3UsWeNlg+UjnLWxH+QphkaGhoaGn5z08oBdR1Q+PB62RwUpcXij28EfUe0qHh/7WGz2RwOR+/uKdfuKVEdQb/Vfxl/Jr+g7Eb287ictymigX0cKzgl6gk2m43juL29vd71ai8uLhYKhfq4kl9BQQFCSB/v41dwStQHBEFIw9a7PhOlpaV8Pt/e3l7v3vNqnRJnThzdr1f3mUv+epucJqvM5xb9tnbL3KkT506dyGDU3tmppKSEx+Npohu7pnG5XLFYrI+nRA6Hw2Qy9bHPBJfLtbCwsLW11XYg1aO/p0SRSGRsbGxubs5iaXKpew3Q6M9PjdLfUyJBEEKhsOY/Pz09PY8fP17liBC9+80FgEZNnz49NTVV+nj9+vUVXpzUq1dv+fLl0nl6nz59Om/evJ07d9IYQ2BgYGJi2cxPq1evrnAtVQ6Hs2rVqgkTJiCEYmNjf/nll0OHDql9xJiYmA0bNqi3L5fLHT9+vHRQMoPB2LFjR4UdSlxdXSdNmhQSEoIQ2rt3b58+fSZPnqx2wLVm+fLlsqFNc+fOrXB0II7j69ev79WrF0IoPT3d39//5s2bNH5p/vXXX7LeHoGBgRWmPzAMCw4Ovn79OkmSmZmZEydOjI6OrrJPkpmZWd++ffft2ye9Vbt+/fqazDGr+zBSNqMW0IBjx45NnDhRVty/f/+0adNU2VEikRgZGVGXe128ePHatWur3JHH4ylcxBw6dMjf31/lkOsOZ2fnpKQkhFBERESjRo0q3KZx48YauiwWi8W5ublmZma11oWzmDhVQpyjVGAWjIUGWLtKd6gEn88vLCy0srL65nQpzBM/mYkEOZTWXRmuGxGmwd9CJL+Yf3AOWSBf8I/RpD174trKRkZqepX4jyfPZd2KlhXZVhZtl83D6ch2cLlcPp9fvq8N7dKeJV8ODpcV2SaGE/+dbmSmfn+u9+/fI4ScnWuUZdSKrKwsQ0NDhZtWeVnFQf7HxaKyH4qm5oZrwyYacnTrVkVmZqaxsbHe3VOu/VOiGs5efjN3+UVZsb6l8bHdExxsjSs4JeqDzMzMjIyM9u3b691NKy6XKxQKNd1nQhPy8vIQQvp4H7/CU6LuIwgiOzvb1NSU3o7JtYDH4yUmJjo5Oende17xVaJSpXzBnJXrD546r1DfrpXzX/NmefV3pzvGihUXF5eUlFR4F0nHFRQUiMVifTwl5uTkMJlMfewz8fr1aysrq/I90HWc/p4ShUJhfn6+hYWFbs4zoYSmf35qjv6eElNTUwUCQatWrWreVFZWVmVrpKWkpIwdOxYh1LZt27i4uJofSxcsWrQoODgYIbR+/fqFCxdqOxygf6j3txs3bpycnFzZ1aBQKLSzs5NO6oZhWFRUVL9+/WiJ4dy5cz4+PtLHDRo0SEtLq+z2gkQiady48ZcvZVMEXbp0ycvLS40jcrncDh06pKWl9e3b986dO7L64cOHnz+veHFb3s8//yzLj44bN+748eOVbfny5UvZ1JcWFhaJiYk6fu337NmzHj16SEdGstnsDx8+KPlO6dGjx6NHj6SPd+zYERgYSEsMb9686dSpk3TcApPJTEpKUrKC2IABA27duiV9vGHDhvnz51frWKWlpRYWFtRhSEVFRRq9L2dpaSmdzSIvL8/CotKhMnTRs+uY70d6ejo1O4hUHqPD4XAULqzT09PpjEwPubi4dK6EPnaaq4wJPpqNUftKkFzJfhLRNPejgSWj3Z8Il2dKyPyXxNcr9DReCczQhO27FDHln2fJh9fiN3eU7KJRDqO8jGzlX3iC3Pyv17UWjHqadm7WrEdLWVFQzH904p4W49E1ljYmfbxby4pFBfzTe9RcxBjoIx+vtr17yOcxzskr8Zt2+MHTj1oMCQAA9J2RIXvv2uUHN6w0/nZUU+zb9yNm/tZvwsz7z15pKzYAAADfLRsbm8puE2lilSwA9JpIJAoKCpIVx40bp6SvmIGBwZgxY6SPSZKcN28eLWOTCIKgDuHy8/NT0vmYwWCMHz9eVpw/f756a8jNnj07LS3NwsJi79691d03KSmJOlnopEmTlGzs6uratm1b6eP8/PyVK1dW93C17I8//pDN9jxw4EDlPU6or33FihXShTlqbsmSJdLsIELI3d1dSXZQIYbVq1dLZ8pVnZGRkd51HasWSBDqqLS0NIUa1XtfKkzgVlhYSEtIQOdhZoyfmZg8kSxBOSVEuJIdqtd6vTZ4y9+pNUTyHiTW7KrdeAMngyGzqDWiOyFILNToQSsNhsVynDYRY8rn1Mq8eVdcVKyVYNTmPmWAAUd+iki4FZuTBisryHlNcjVgy69071yIf/fyixbjAbVs7RJPjpG8JwS3SDBz3rkzl95pMSQAAKgD/Ed5Pz4X5tKyuUJ99JMXfcZNHxLw86uERK0EBgAAAAAAlDt27Bj1NvXw4cOVbz948GDZ4+fPn1+5QsPogvDwcOlydyrGMGTIENnjhISEiIiI6h4xIiJCOjfp7t27K5uXTon169fLspJGRkYeHh7Kt6e+afv27dPlNVCfPHly/fp1WbFan4fs7Gw1sq3lxcXFUQdxVuvzUFhYuGPHjuoeUe8mn68WSBDqqPLrRas+VYjCCELpijjge4AhQzN8NkZZW7SEuCImP9DVPm7rhdn0l5eF+URaKF2NV4bZfhCjRS9ZkSzMEj09p2R7jeI42DUY0EdWlPAFXyKrXttcpxhbmHQd4yYrkgQZExqlxXh0jbmVsdekjrIiSaKQv+8I+GIthgRqk71tvbVLPanLYkkkxIYdD9Zvu0sQMCU7AACor6VTk/unQ6aNGVl+8ZWbMY+7jpw8dcGKtHTolAMAAAAAoFs2b94se8xisbp166Z8+759+1LnXt66dSu9MWAYJl3WTgk3Nzfq7fHqxvDly5eZM2cihGbMmCEbEKm6/Pz8w4cPy4qdOnWq8q5+//7y2618Pn/fvn3VPWit2bJlC7Xo7l7FkgEtW7a0s7OTFbdt21bzQaVbt26lNlJlDA4ODtTVkXbu3CkbAakiNh0rTOksSBDqqNLSUoUa1RcbV1jcGxKE3xUmZs/Bh1EqJFxiP0IEXe0znGchhnwUP/HpDMnT+Px7Bh4zEEP+qRbHHCdLtPaptvXszzSWf69n33sgyM7VVjDqaTeko6WDfDbzz/GfUh5Dt305rwmuTVrIJx/O/sKN2P9Yi/GAWjZiSJvQrWPqmX5z8bcv7MnPi86W8kWV7QUAAKBKHCPDPWuXPTgT6uGmeF+JIIjDEZdaD/QNXLrmq75dWQEAAAAA1FVv3759/vy5rNi2bdsqMyWWlpZOTk6y4vXr12s4Hu7jx48xMTGyYvPmzatcydvY2Lh1a/kKMvfu3fvwQdXhEyRJzpgxIzc3t1mzZv/++68aAZ86dYq6Xl2nTp2UbCzVpUsXavHYsWNqHLcW8Hi8s2fPyopGRkYtW7ZUsr0U9dWlpaU9ePCgJjGIRKIzZ87IigwGw8XFpVoxfP36VbYkoYoUsi11DCQIdVRNEoQKixcWFRXRExPQE8b4SCYmH/gsIlN4BH2j3NjWeOMJ8iIpJhI3V741PTDzhsxO8vWESWGpKOaopg9aGYaRUcPB8n49pFjy5eI1bQWjHpyB95zcl1pz//BtiQgGyZXBGfjUhX2ZTPn3483wuPexGVoMCdQyt25NT+2f7GBnRq28eivRb1rY1yz4SgUAgBrp0r7N1dAdV0N3dG6nuMiTSCzeezy85QCfoA1bC/VtFncAAAAAgLpHIVNFzbopQV3LUywWX7p0qSYxHD9+nDpcTI0YSJK8cOGCiofbsmVLZGQkk8kMCwszNTWtVqhSJ06coBZVCdjW1tbS0lJWjIuLe//+vRqH1rQLFy4UF8uv0lu2bKlkQUoZhbVd1Zjxlerq1au5ufIOhU5OTqpMu1jDGBTma6xjIEGoowhCcciX6lOMKiQI6/YnGJSHIZYpPg0h+fRNxcRJAuXT1T7eZAIybCgrknlPydyHdDVeGZb7JMxI/q0sfhFJ5Gh85GJlbPq7G1jI1wTNffKCp28zYjXp6NTY1VFW5GYVvrr0TIvx6BoHJ6uhE6kTjZIhG+4IBZBD/Y60cKp//nBA144O1MqExKxRUw7Hvc3UVlQAAFBneLh1exgeenbPv+UXJiwpLQ3eHdqi/8jg3aF8gXZWngYAAAAAAAghhYFWKq7G16pVK2rx9u3b+hJDQkLCH3/8gRBasWJFjx49VA2RQiAQ3L9/n1qjXsB37txR4+iapvC3cHBwqGxLKnpfmlZiYDAY1dpev0CCUEeV76FQPmVYGaHwmx/SxsbG9MQE9IcB1toQo6zbh0qLJGG0tY6zGc0DqRVE4hZEaHbmPczQhNlzLOWQEtHtEI0eUQmcxbTzHigvk+TnczQsuVzL3H4YgFMWWnsW8ZCXX6LFeHTNcP9OjZ3lE7FmpheeO/hUi/GA2mdhZhS2ffywQd9Ml/E1q2jcj0dv3k3SVlQAAFBnYBg2bECf5xeOHt+6rqmDncKzuQWFQRu2th44au/xcImEttnyAQAAAACAioRC4dOn39wJUTHXRV1zDiFUkyklCYJ4+PCbYQmai0EkEgUEBJSWlrq5uUnThGp4/vw5n8+n1qiYwbK3t6cWazgPp4aol/tU+Fu8ePGi/NSJtRxDQkJCfj5tY2n0HSQIdVT5BKHCyaUyJEkqjCBUfW5SUJeYMibjSP4p4pOPBORzJdtXC2bTD7NwlRXJ0s9E+hkl29OC1WUkZiE/m0veP5SkvdT0QStj1bOrYUMbWbEwLqEoMVlbwajHwt6y7SD5H1HEFz46cU+L8eganIFPmd+XQZlo9Nqp10lxX7UYEqh9BgaM4OWeMya5Uit5POFP88NDjsOgWwAAoAGO46OHDoy/fmbn6iBrSwuFZz9lZAYuXePqNe505A3q1FIAAAAAAEDT4uLiFBI5Kua6GjRoQC2mpKSonRB6//59QUFBzWP48uVLXl6e8l2WLl365MkTExOTkJAQtUeMPX78WKFGxQyWjY0NtRgXF6deAJrD4/HevHlDrVHvbyEWi9+9e6deDGKx+MWLFzWPgSTJ+Ph49WKoeyBBqKPUThAWFxdLJBJqTcOGDSvbGNRhODI1wcdSa4okoSRS6VOkUvstfkOY/MuSSA1Fwlwl29OAwTTo+wO1QhS1D2npVhGG4/YjPKk16RGXtBWM2rqNdTM0lXcgeHs7LisZEmByjZ3rDx7TXlYkSTLk7zsioUTJLqDuwTA0Y6Lr+mWeLJb8jCchyJV/3whac1UMg1oAAIAOBizWzPG+ibfOrVkw29RYcWGFhOTU8bMXu42eevshjOYHAAAAAKglKSkpCjUqJmOsra2pRYlEkpysZq/68juqFwNCSPmqftHR0f/88w9CaMeOHc2bK86BrzqFN83IyMjKykqVHRUCTkxMVDsGDUlLS1OY4FDtv4Xary49PV0gEFBrVMy/0hhD3QMJQh3VpEkThRoVu1qUHx7btGlTWkICescI72eAyZdglaDcEuIsXY1jxo643TB5WcIjkvfS1XhlGK174w7yV0Rkpojf3FKyvUZZdGxn4iT/Py1J+1TwWs/6nrCNDbuOpkxFS5LRIVFIz7KcmjVyShe7pvLRDF8/Flw8DOPGvke+3m2P7hpvafHNPetj4S+n/3a6uERQ2V4AAACqxdSYs/CngMRb5xb+FMAut4z641dxAyf/b0jAzy/j1exxDAAAAAAAVJeWlqZQo+IolPKz2VU5ek+7MRQWFvr7+0skEj8/P39//2rG+A2FgFUft6MQcGFhocIQIK1LTU1VqNGFz4PC0MBaiKHuYWo7AFCxpk2bGhsbl5TIlwTLzMxUZcfyCcLyuUbw3cBM8al5kj9IJJaWS4hIQ6wHE2tKS+u40wwi6xYScaVF4utVzH4kVq81LY1XAjMYMIN/aB76L4slun2Q2dINsdiaPGil7H283v27U1ZMj7hk1q41hutTxwuXwR3f3HiV9ylHWvya+Dnp4bvmPVsq3+v7wWQxpizot272WYIo+8hFHn/V0d2xaUvFnkegzuvSwSH8wORpv51O+SC/iLz7IHX09CMHNo22a1hPi7EBAEBdYm1psWbB7B8n+K3fFbL/5FmFfso3Yx53HTnZz9Nj9fxZzZuo1F8YAAAAADWX+uT9oxPRsrsHQMdxzIzbDnbt4tsTwzG1G0lPT1dslqM400OF2GzF23QK04TqWgy//PJLWlqag4PDnj17qhuhAoWAVYwWIWRoaEgtkiTJ5XItLBRn4Neiz58/K9To0eeBxWLhOE79ZVFYWKheDHWPPt3I/q7gON669TeJlvL/hBXKzs6mFjEMc3V1rWxjUOcxMVsO7k2pkHCJAwjRNCceqx7uOEVeJAkicQvS8AA03L4Vo5Wb/JhFuaIntA2LrC5TZ6d6beS5NH5mdu4jPRtehuGY+5QB1Jr7h2+JBaLKtv8OObW2GTi6naxISIiQDXfEYphY8nvUpJHFmYP+3Tt9cz/6XVL2qCmHY+Nhel4AAKBTUwe7nauDXlw8NnroQIWnSJI8HXmj3ZAxgUvXZGTBbUoAAABA4z69Tov85yxkB/UIr7DkyamYB0fu1KQR6sAVKbUTQmonY2ohhvDw8LCwMBzHQ0NDLS0t1QiSSiHg8gPXKmNQbv4MtbNoGqLXn4fyYeja26tFkCDUXR07dqQWVUwQKoy0bd68ef369WmMCugdY9yHidnKiiIyhUdE0dU4bj8KM3GSFUluPPn1Ol2NV8ag/zTEYMmK4gcnyRLFgbO1ppGvN8LkvbG+nL9KiPQsu+bg0qRJJ/kfsTi36NUlPUtzaprv9G62TeSdttJTci8fea7FeIAWmdczPLx9nK+3C7UyK6d4/E9Hr91Wtp4BAAAANbRt0ez41nV3T+x379pR4SmRWLz3eHgrj1FBG7YWcIu0Eh4AAADwnXh54QksR6KP4q69EAvFau/O4/GoRRzHy2d6KqQwAwSqQTJGIQakckJIxRg+f/78448/IoQWLFgwYMCA8htUl0LAqicIywesa0Pc1E7O0fh5qEmCUGHKVkgQykCCUHcNGzaMWkxKSlJlL4XpgN3d3emMCeghDLFM8WkIyZNYxcQJAtGUUcNw3Hk2tUKStAOJFU/W9MLMGzI7y/87SGGpKPqoRo+ohJG9rWUX+SBdYUFh9p0H2gpGbe4BAxgshqz47OzD4ly40SbHZDGmLOiLUTLBF8NefHgPfSe/UywW45+V3svneeCUqVp4paL/LQjftCdai4EBAEBd1atzh9vH9l4N3dGulbPCUyWlpcG7Q1sMGBm8O5QvEGolPAAAAKDOK86DWwR6SSwU84tK1d6dz+dTi4aGhtQbI0qIynWdV3s5PYUYMAxTmIqzJjGQJDlz5szc3NyOHTuuWrVKvQgVCAQCalH1BCGNb5qGKLw0pPKrK//SyqcMNR0DQkgs/iZZrnYMdQ8kCHXXwIEDqTnwly9fqvLBTU5OphZ9fX3pjwzoGwOstSHWU1YkUWmRJIyuxjGLTph1b3lZmE98OEJX45VhuU3AjOQrfolfRBI5HzR90MrYj/DEmPLs2pfIGxKe+pdfWmHW0MJlsLxjvlggenQC8hzfaNamwQCftrIiISFCgm9LYKLR79jUCV22rhlhyJav5UySaPOemMV/RsIMtAAAoAkebt2enT9yfOs6Rwc7hafyCrhBG7a28vDZezxcrGN3UgAAAIA6wNqxgbZDAOrgWBgbW5iov/u3Y7NYLFZlWyoonxBSfZiX8h2ZTKaKSUqhULHrWPkYNm/eHBkZaWhoeOjQofIzfKpHIV+l+pumSsDaVT4Vp+KrK/95UD2rR1cMYrFYIbGia2+vFkGCUHdxOBxPT09Zkcvlvn9f9fRlT58+lT22sLAYPHiwRoID+saU4Y8jU1mRTz4SkC/oahxvPgvh8u9R4tNJkqe4Ziy9MEMTVq9x8jJJiG4d1OgRlWDXt7R26y4rSnilX2/UaJJ3reji18vQVP4t++5uXFZShhbj0UF+P3a3sTeTFT8l51458UqL8QCt8xrY6uiuCVaW31xTnjj3esqcU9wixU5tAAAAag7H8dFDB765fmbn6iAbK8UVYtK/ZgUuXePqNe505A2ShHnQAAAAANp0G+NmVA9upusZDMfcfxiA4Sql0ypkampKLZYfvFUZGhOECjGIRCIVx9VVGUN8fHxQUBBC6N9//3VxcUE00YU3TUMUXhoqN76zMjTmPsvHoOI7TGOSsu5hVr0J0J65c+eGh4fLijExMS1btlSyfW5ubkpKiqw4ZcoUuro/AH2HI1MTfAyXOCCrKZKEGjDbYEil2cOVw4xs8cbjiLTDZWVCRCTtZLT/q+YtK8HsPFz04hKZ90ValCQ9Rp9eI3NHjR60Mnbeg3IfPZPwy76TMqPu2fRzY9VT/NLSZWxjdrex7nf3/7eEJImiQ6N8V01C6l9J1jUGbGbAvD5/z7sgu+V44dAz115N7B1ruoQ10F8d29lFhPww7ddTSam5ssqYx2ljpoft3zTawc5Myb4AAADUY8BizRzvO2GE547Dp9btPMAt/mZy+7fJaeNnL+7aoe2a+b/079lVW0ECAAAAdUm9BuZj1v3w+vKz3I/Z0AtHLxhbmLQd1KFhC/uaNFI+10WSpCoD+IqLixVqzM3NaYkBIcTn842NjWsYg0AgmDhxYmlpqaen5//+9z/1YquQQsAqptAQrW+ahqidICy/cCCNn4fSUpVmcdP9t1eLIEGo09zd3d3d3aOjy+b6i4iImDZtmpLt7969K/ueNjAw+P333zUeItAfRnj/UjJGRL6TFiUop4Q4a4KPU76XivAmk4mv1xA/U1okc6LJ3MeYVTdaGq8Yg2nQN0AQsVZec/cQGr5cg0esHNPUxKZ/74zIG9IiIRBmXL7RePworQSjtrYDO7y5/jL3Y7a0+DXxy/v7Cc5urbUblU5p6WrXd1ib2xfipUWxSBKy4c4f23zwGvTIA/qukZ3Z2dAffll87vZ9eQedxJScEf6hu//27drRQYuxAQBAHWbC4Sz8KWDa2JH/7ju8+eAxwbcdk5+8ejPIP9DDrdu6hXM6tm2lrSABAACAOsPEyrSXfz9tRwFqlZWVFbVIkqRAIFBlCcD8/HyFmsaNG9MSA1I5QVg+hiZNmsgeL1u27NWrV9bW1gcPHlRxzlIVKQSseoJQIWAzMzMzM93qc1y/fn2FGhVfHY2fBxpjoH4evnOQINQshc9o+dGsVVq2bNmQIUOkj2/cuFFUVFQ+VS5z5swZ2ePAwEAHB7gvCaiwevjUPMlSEpUtylpCXDbEejAxOk6IDENGsx8lb/6UVRBJ2xiWBxCmwZMMo1Vv3OE8kf6mrJyTxkq+j2x8NHdEJRoO7pcd/VBcVNYhJTv6UQOP3mxrxe8tXYbhmHvAgHN/npDVPDhyp2mX5iy2qhOmfw/GBPZ88zQ9O4MrLaa+zbp26rXnuA7ajQpolzHHYO9Gv5UbboSdlk/dnF9YOnnW8eDlXiM922gxNgAAqNvqW5ivWTD7p4mj1+08eODUWYnkm5VFbsY87ubj7+fp8UfglIZWFtoKEgAAAABAH7VurdhlvLCwUL0EodrJmApjKJ81rFYM9+7d++eff6SNb9q0qcqmxGIxtZiQkLB48WJZ0djYeNmyZbJimzZtLl68SI22yvalCgoKKoxWd1T4t1BlR01/Hmo5hroHEoSapTANbvkpd6s0ePBgPz8/aeaPz+cfPHhwzpw5FW6ZlZUlSxDa2tquXLmy+vGCOo6JOXBwrxLi/H8VEi5xwJLxf4iOeSSxBh7Y5/NkQdmqbGTJByL9LN5odM1bVsLAYwY/9HeEygbOsp+dQV08EVsLk3QzDNm2g/t/OnNBWiQlks/nrzpNn1T7kdSEvUtjxy7NU58mSYvFuUWvLjzpMrqXdqPSKWxDZsD8Pv/MvyibVeXsgSftezS2awK3Hb9rTAb+5+LBTk0sV2+MIoiyD4dQKJm77ELqx7zffnTXbngAAFC3NbG33bk6aHbA+FVb9pz+b0YHKZIkT0feOHf99jjvQWsX/Wpro0+dtwAAAAAAtKht27YKNZ8/f27QoEGVOyokYxo2bKj2YLgKY3BycqpuDGZmZg0bNpQ+vnXrFkEQCKG7d+/evXu3uiElJSWtX79eVrS2tqYmCBUC/vz5s4rN5uXlUYstWrSobmCa5ujoyOFweDyerEbFV6fwt8AwTO1XZ2tra2lpSX2v1IsBIaR8HbfvCq7tAOo4hSR2+c+iKrZv325n89DU0QAAIABJREFUZyd9HBwcXNnI2SVLlkifYrFYR48e1bVhyEBHGOM+DEz+XS4ik0uJmzS1jeHOsxEmP6sQqQeQME/JDjWH27VktJbfecdK8sVPzmr0iErY9HNj15cvR5f37BXvY7q2glFbrx/6M1gMWfH5uUfFOVwtxqODWnW0d/OUT1YmnWhUlhMC37OpE7psX+djZCgfdEuSaPOemAUrL4tEKq2jDgAAQG1tnJ2Ob1137+SB3l07KTwlEovDzkW29PAJ2rC1gFuklfAAAAAAAPRL06ZNTUxMqDXp6Srd5vr06RO12KNHD7VjaNiwocKskurF0L17d3qnEq2MQoKQx+MpZP4qQ+ObpiE4jrdp880MSSom5xRemrOzsypjQCvj4uJS8xgcHBxg5kUZSBBq1uvXr6nF2NhYNRpp0KDByZMnORwOQujz588zZ84svyDw7t279+/fjxDCcXz37t39+vVTM2JQ12HIoB4+hVpTRJwgkDqp6woaN3XGbb3kZXEJkXKAlpaVMOg3FTHkt+PFj86QxZrNSlYGYzJsvQbJyySZfjZSK5HUhFkD83ae8ttqYqH44bF7WoxHN437uaeljfwqOSU+82ZEnBbjAbrDc0CL0wcmN7T5ZjLw0xdiJ/7veF4+r7K9AAAA0KVnp/a3ju25GrqjfWvFjsm8Un7w7tAWA0YG7w4t5Qsq3B0AAAAAAEjhOK5wh1khy1KZtLQ0arFnz541CWPAgAFaj0F1HTp0UMh+qRIwSZIfPnyg1tRawNWi8Lf4+PGjKnulpqZSi/R+HrQSQx0DU4xqikgkCgsLO3nyJLUyPDx8165dU6ZMUWW+Zio3N7dz5875+flxudywsDCRSLRx40ZbW1uEUEZGxrx5844dO4YQ4nA4hw8f9vX1pfGFgLrHAGtniPXkkw+kRRKVFkmOmjFm0dI47jSDyLqNxGVL8REZlzD74ZipBkdtY+YNWV2Gix6Fl5WFpaLoowaev2juiEpYde+Uef12aUamtMhNSOS+fV+vlbNWglFbV79eiffieQUl0mJiTHzbQR1sW0HPGjkjYwP/ub03/yFPAEfse9yhR2Mbexi6DVCbFjYRIf4z5p558y5TVvn0VbrvtLADm0Y7NbFUsi8AAABaeLh1e3ouLPxqVFDw1pRP33QrzivgBm3YuuPwiSW/zJg6ZiSTwaisEQAAAACA79yIESOoK+q9evVKlb0UkjGenp41jIF6g11hNI4aMbi5uS1atEj1AMRisXTNQqnmzZv7+fnJisbGxtSNmUymt7f3oUOHZDWvXr3q0KGD8kNkZmZSp+60srLq2rWr6hHWmhEjRgQHB8uKKn4eFJK1Nf88/N///Z+sqOLngd4Y6hhIENLszp07K1asKCgoeP/+PfUfW4ogiMDAwLlz5zo7O1taWm7YsEH1//aBAwc+fPhw6tSpjx49OnHixOnTp52cnExMTGJjY6VrpQ4dOnTr1q3NmjWj+SWBusiUMVkofk2gsgwQn3xgSPZiYx1paNrAAm8aQCRtLyuSBJG4hdF5Gy3LHFaG2WuC+PUNsrRsJkzxyyvMzsNxay0sNovhuP3IoUm7QmQ1n89G1lvUHNXKPAZ0YRkZdBvjdnvvtbIyiaJDo0av8a+d2Rj0RbvujXsOavHgeqK0KBSID6y/vWjzCHiXAEKooY3pyb0TZy85H3UvWVb54VO+39TDu/727d6pkRZjAwCA7wSO46OHDhwxsG/omQsrNu7Myv1mwoz0r1mBS9dsOnBk5dxAP08P+PoGAAAAAChvxIgR//vf/6Qr9iGEnj17VuUuJSUl1ORcq1at2rdvX5MYvL29WSyWSCRSPQahUPj27VtZsXHjxt27d5cVPTw8PDw8VA+Az+dTE4StW7det26dku1HjBhBTRA+f/78hx9+UH4IhSyXn58fi8WqbGMt6tmzZ8OGDb9+/SotvnjxQiKRMKrqb0d9dRwOZ9iwYTWJoWPHjk2bNpUl/OLi4vh8fpVjsagxsFgsHx+fmsRQx8AUozRzcnKaNWvWkiVLQkJCTlbi0KFDy5YtmzVrVqNG1btF2Lp16/v37589e9bX19fa2vr9+/evX79u3LjxzJkzHz9+fPnyZcgOAhXhyMwEH0etKZKEkoieqZbwRn6YsaOsSBbGkZlRtLRcGczQmOU2QV4mCdEtjU9tWhnzDm1NmjWVFUs+fMp/qX+TT7b2aG/tJF+rMjsl8310ghbj0U0TZrtZ1Jf3FEuK+3r7fLwW4wE6hcMx2POPX8C4ztTKAi7ff9aJ8Ev6d04AAAA9ZcBizRzv++z8kd+mjDfhcBSefZfyYfzsxb1GT4m6/1gr4QEAAAAA6LIGDRp4e3vLitJkjPJdnj17Jh3KIjV58uQaxmBubk6dLS8xMZHL5Srf5fXr1wKB/CbnpEmTarM3mLe3d8OGDWXFp0+fVrnLkydPqMWJEyfSHxYdcBwPCAiQFXk8XkJCFXcLc3JyqAljHx8fhYUt1TBlyhTZY5FIVOUgwqKiImrC2Nvb29IS5naSgwQhzRo1ajRGZdSThYpwHB85cuSZM2cyMjKEQqFQKExOTt6zZ49ujjsGuswI78/C5EuzSFBOCXGWnqYxBt78Z2qFJHkXklRxAVFDzE7eyNyWcsQnkrQXGj2iEg4+XtTi53OR5H+drfQFhmG9/PtTax4cvSMqFWorHt3EMTGYMMeNWnN6z6NPybnaigfoGgaO/d+CgcvneTBw+U8RkUgy//8uLVx1Ob+gVIuxAQDAd8XUmLNgpn/SnfMLfwpgGxgoPPvk1ZvBP/zsMmR08O7QvIIq7jcBAAAAAHxXqLNxCoXC69evK9/+0aNHsscmJiaBgYH0xkAQRGRkpJKNEUIPHz6UPTY0NJw9e3bNY1CdoaHhr7/+Kis+evQoJydH+S7UN6179+59+/bVVHA19uuvv1KH612+fFn59tS/BYZh8+fPr3kMv/zyCzXLWGUMT548kUgksuKCBQtqHkNdAglCPcZisXAc/oJAbVg9fBpC8mHgPCJSQn6lp2mrblj9XvIyP4v4dJqWlivFYCK3SdQK0e1QzR6xcibNHc1cWsuK/MzsnOhHSrbXTfZtGjl1k6eQS/KK7x64ocV4dFMnd8duA5rLioJS0Ya555PfZCrZBXxvpk7osvtvXw5Hfj+aJNGp87EefntPnY8lSS2GBgAA35f6FuZrFsyOvXpq4sih5X9GvU1OC9qw1bG3949//Pn0NUwJAAAAAACAEEJubm69e/eWFSMiIpRvf+HCBdnjwMBAWoZqdezYcciQIarHQF03cdq0aba2tko21oTAwEAzMzPpY7FYTH1PyuPxeDdv3pQVlyxZotngasbW1pY6iDA8PFz59tS/hZeXV8eONKxvZWVlNXPmTPVi6NevX69evZRsXCHZDLdS1HRjHUDbGoRBQUHv37+nqzUaubu7U5P24PtRWlo2OMPHx0fWtaFjx45bt241KNdxmHYEhaaPpTYc2XEwLx5Z9i1FIjFXEsYmfqYncqdAlPcEEWUnUOLjMWQ7DLHq1TBmJQinboSNMzOr7EREZCSK3z/Cm2lncK3diCGFb96i/+79f754zbxLB0YlM2Lr7Eelx6Q+H16kSERlU0O8u/vGoX0TZzd57lMasw5GXiUa3/Pxs3q+ffGZm192wuEVC/+ZfzHw/wa17epQ88bL09lPi3J6cUqsEC2R93d3Or1v4ozfw798lQ9MyS8sXbjq8snzr/9cNLBFM2s6gv2Gnr7hSM8jR9/9KbE2fecnFq2oA5EjhJra24ZsWLnwp4A/t+w9c+WmwpYlpaUHTp07cOpcm+ZO08f5TB0zovzEpLVJT99wBJHXujrw76m/kWs7kGqDyBXw+fxZs2bFxsZKi7JbSTwej94DAaC/NmzY0KtXL+l/37lz53g8HqeSC6SkpKSYmBjpY3t7+6VLlyppliCIvXv3XrlyxcjIaOrUqYMGDVKycXBw8M2bN6WTl16+fLmwsFCWgVOQnp4eFVW21JG1tfWqVauqen30MzMzW7Fixe+//y4tHj16dOrUqZVtfPr0adkJx8vLa/jw4ZVtWVJSsnr16suXL2dnZ3fv3n3FihWurq70Rq6KFStWHD9+vLCwECH0+PHj5OTkylY94/F4p0+XjRgxNDTcuHGj8pbPnj177NgxsVjs4+Pj7++vZMugoKBDhw7l5uYihGJjY+Pi4lxcXCrcUigUHj9+XPqYxWJt2bJFeQwVos5YK21TjUZ0Fm0Jwps3bz5+rIsrNzCZTEgQfp9kw7ffvHkjq3z27Fnv3r2pvU40RCwW5+fnC4XCKldJ1TLMDZndQ4wCaUmIXpYU3S/IbUgQBJNZw/MD29hisGHupbKSuJj3bl9JA2Un9xri8XgS50F2WfKeCqW3Qnj1miBUe/OMyxkwjTu0KXlZ9tkTFxWnnr9i1t+twm2LiooEAkFtzoeuKgy19mwXd0E+WevdfddZlmzj+qbSYl5eHkIoOztbO+HVQG5uLpvNVviCV5vvT66H/34kEZf9UhUKxNuWXhk3u2vb7na0tE+Vm5tbWloq+9WqL/TmlFgOn88vKiqq+SnR0gztWj9k8V+34hO/mVrk6cv04f6HJo5qO21CB0M2bVdlCKHc3Nz8/Pzs7Gy9m2ygqKhIKBSSeji4Mj8/H+lnX0J6T4m1hiCI3NxcPp9f2e0JncXj8fLz83NycvTuPafrlFj7SkpKeDwe9XxobWa6Zdnvk0YMXrMz5GlsBUunxCelzPvr3//btMt3SP/JIzzbODvVYrxyhYWFYrFYH0+Jubm5TCZTobe1XpCezGuhRym99PeUKBQKpZ9zvXvPeTxeSUkJQkjvrrXKnxL1RV5enkAgoP3n54ULF0JCQsrXZ2bCxDAAlOnevfsvv/wizazk5eXt2rVLlvpSsG7dOmkeEcOwHTt21KunbJxAYGDgnj17pI+PHz9+6NAhJQsWtm/ffsGCBWvXrkUIFRUVbd26tbLsY3BwsOwKZMuWLVZWVlW/Qg2YPXv2sWPHpIsL3rhx48mTJxUuECYSiYKDg6WPzc3Nt2/fXlmDYrF4yJAhsvzr2bNnIyMjT58+PWzYMA2Er4ytre26deukk8eSJLlu3bq9e/dWuOWuXbukOTyE0MqVK52dnZU0u3nz5t9++036ODw8/O3bt3/99VdlG9evX3/jxo0//PCDtLh27dojR45UuOXBgwczMjKkj//444927dope22VUFh6U+9uyimH0fVjo3v37rqZIBw/fvyxY8e0HQXQAgsLi4KCAoVKMzOz+/fvN27cWNNHl94NNzU11f274WLGEwFrv6yIEQ14X342N7eq+a0fTMw1eDUdk/zX7Q43ELTbTbJtathsZaS/0Gyid2HpsbJKcthC0rGLho6onKiQmxq8jRCWXZTgLJbjwlks8wr6N3G5XKFQWL9+/doNUCUkSd7452JGQrqspn5TG88/fHAmAyGUnJyMEKqso5Auy8nJMTAwUH6pWi1JsZl7V98WlMoX4sZxbOzP3XsMpvnNyc7ONjIyqvmSzrVMj06JCqR3wy0sLGi5G04QZPil+L933i/hKXY3a2Btsmi2+6A+tH1gsrOzMzIyXFxc9O7uD5fLFYlE2voVVxPSe8oWFhbaDqTaaD8l1g7p3XBjY2O9uxvO4/GSkpKaNm2qd+85vafE2lRcXFxaWmptXfFw7Zfx70LOXDx56TqPX+ma2a5tWk7xGzbWexCndr/IpIkTfTwlShOElXXt12VxcXFWVla1PxdZDenvKVGaIDQzM9PTBKGVlZXeXWspPyXqsg8fPggEghYtWlS9aXUkJyf37t27qKhIob5+/fr62Be2QosWLZJmINavX79w4UJthwP0kkAgcHd3f/r0KULIxsbm6dOnjRo1UtjmypUrXl5e0lzDqlWrli1bpqTBDx8+ODo6UhMTDg4Onz59UrKLWCzu379/dHQ0QsjCwuLp06dOTopduG7fvj1w4EBpr81FixatW7euGi+yEnw+38jISFYcPnz4+fPnVdkxNTW1S5cu0r71bm5uUVFR5b/sli5dKk2DMZnMy5cvKxlGefr06TFjxihUmpqaxsbGNmnSRMXXQqPx48efOHECIcRisaKjo7t166awQUJCQrdu3YqLixFCEyZMOHLkiJKhEQRBWFhYcLnyWZcYDEZ2drby39fTp08/cOCAdOOoqKg+ffoobJCcnNy1a1fpT3UfH58zZ86o963t4ODw+fNnWTE6OtrNreJBILSwtLSUxpyXl1cLdxj07KcdAKqrX7++NEEYEREh+9JycnKqnTt3YrFYIBCYmJjow93w/vmSGCH5Vlog8Uwji2cmxr503PoxIZpMIFL+yz4SQqOsk3jrxTVutmI4jpMkye73gzBMvtgs49FJQ5e+SCuD80xMSvq7f716S1oiRKLC2/ebTlb8LkcIEQTB5/N1NuUzeM7wEwtD+EVlvWNy0rLiI1/3mNAbISS9AaGzkSvB4/EMDQ1pjNy1p8mCf+ttWny5uLDs3iJBkCe2P5SI0ZCxHeg6CkKopKTE2NhY795zvTolfoPJZEokEhMTE7ruhk+Z0N1rUNt1W25HXH5Drc/MLv59+ZUBvZv9uWiwXUMacgYlJSUcDsfExETvbloRBCEUCvXuQ47+m2ZEHyOn/ZRYOwiCKC0tNTEx0bu74TiOS/899e49p/2UWJswDKvsDXfv1tm9W+d/ls47eenajrBTsW8rWDjjZfy73+LfLd+4a9ywIT9PHtOulbLuzzQSi8VisVjvPioIIT6fz2Qy9TFyDocj/Q/VdiDVo7+nRKFQKBKJTExM9C5BKP35qY/XWkjpKVGXcTgcBoNBe+QdOnRIS0tLTU2VFlNSUsaOHYsQatCgAb0HAkCvsdnsS5cu9e3b9+3bt1lZWSNGjLh48aK9vb30WZIkDx48OGfOHGnCLygoSPnkogihtLQ0hWFLnz9/FggEbDa7sl2YTOa5c+f69+//+vXr/Pz84cOHR0ZGUgeBhIWFzZo1S5odnDt37po1a9R+vbRwdHS8dOnS4MGDi4qKYmJipk+fvmfPHlmukcfjrVix4u+//0YIcTicw4cPK59k9e3bt+Uri4qKNm3aVOXUnZoQEhKSk5Nz8+ZNkUjk4+Nz9epV6uC8K1euTJ8+XZodHDdu3MGDB5VPnJabm0vNDiKEJBLJhw8flN/G37VrV1ZW1sWLFyUSiZ+f39WrVzt16iR7NioqaurUqbLs4JEjR9T7yr5x48aXL1+oNfv27evVq5cuTgWnFpp/2rm6uqo3TlMTHjx4kJSUpO0ogPa5uLg0b95c21HoNFN8cq5kOUL/TeXPuUYgD4Ro6KqMNxpLpEcgYZ60SHy9ijUehxk71rzlSo9o35rh1FmS8qzsiNlpksT7jJYa7NahhK2nR+6DpyJuWVfE3AdPG/R3N7LXs/7IxpYmA3/xvrjuNPrvyu3FuUcOLo0d2mmhg5Iua9rSeuGmERsXXMrPKZHWkCQ6tethcSHfb2Z37cYGdIpNfZN/Vw0bPbzdsnXXUj7kUZ+Kupf84Mm+OTN7zZjcjcnQv5tNAACgv8xMTWaO95053vd5XMLe4xFhZy+V8hXngOUWl+w9Hr73eHgnl9Yzx4+aNNKLY6RnHV8AAACUZ2lpaWlpKX2sdz0aAag1NjY29+7dGzduXFRU1MuXL1u3bj19+vQOHToUFxcfO3bs/v37CCFra+vNmzdPmDChytbatGljYGBAXcutTZs2SrKDUpaWlnfu3Jk4cWJkZGR8fHybNm2mTZvm6urK5/NPnjx5584dhJCFhcW///47ZcqUGr1amvTo0ePevXujRo1KTU0NCwuLiYnx9/dv0aLFhw8f9u3bJ+2a4OLicvDgwS5dqpj/rGnTphXWX7lyRSsJQkNDw4sXLwYGBoaEhGRkZHTu3Nnf37979+4MBuP8+fPSQZZGRkYrVqxYuHBhlbk0a2trOzs7ah7O2Ni4yiHjLBYrPDz8119/3blzZ05OTrdu3SZNmtSrVy8Wi3Xp0qWIiAiSJNlstjRjXa3s4MuXLxMTE7Oysh4/fnzixAmFZHZISMjbt2+HDRvWpEkTa2vrWljLTKNoThCOHj16yZIl9LapthkzZkCCEABVMLGmRnifUuJ2WRnj81CEAZpBQ9MMQ9wxgHj33xcVSRDJexntNduFh9XnB0nKc/RfOkt0N4zRopdWBhEyDNm2nh4fT56VFkmCSI+47PzL9NqPpIYauzq2G9Ip9spzaZEkyRtbL43dEKDdqHSQXROLRVtG/rvgUtbnQlll5LGXfJ5o4hy3OtO3CNCiV9cml45O3RX6cGfIQ6FQvmpdKV+0fuud81cTVi8e3Km9vRYjBACA71Mnl9Y7V7deu3D2qcvXt4Yej3+fUn6b53EJgUsT/gjeOsZr0C8/jGvbQv+mWwcAAAAAqK769etfv349JCRk/fr1iYmJmzZtkj1laWn5008/zZ8/X5ZuV87a2nr16tWLFi2Spl44HM62bdtU2dHc3PzSpUtHjhxZs2ZNQkLC1q1bZU+ZmZnNnDlzwYIFNjZ0Lm+E43jnzp1lxequs9OhQ4fY2Nh169bt2rUrNTV11apVsqeaN2/++++/z5gxg8ViVdnOmDFjNmzY8Pr1a2nR3NxcKBTyeLy0tLRqxUMjQ0PDgwcPjhkzZuXKlY8fPz5w4IB0wk+EkJGRkb+//+LFix0dVR0lsn379nHjxklzxgwGY/PmzarMi8BisXbs2OHr67tixYr79+8fOnTo0KFD0qfYbPbEiRP/+OMP5WsfVujo0aNRUVHSxxUOhxOJRBEREQghDocDCUIAQF1ggo/lE49JVLZeoADdEZEeLIyGoX643TDy40mytGymZjInhiyMxcw0ONQYt3VmNOsiSX4iLRI5HyRvoxmte2vuiEpY9+mRdTuan5UjLRa+ectNSKzXmuZVE2pBr8n9MhLScz5kSYu8wpKoHZEt/TogyHl9q35D00WbR2xceCk9RT4y7Na5N7xiwbRF/RlMGBMG5AzZzN9+dPfxbLt03bWYx2nUpxISs0ZPD/MZ2nbZPA8LM6NKGgAAAKAp5vVMZQMKt4QcO3HxmkgsVtimgFtEHVDoP2qYIVvP5kgEAAAAAKgWHMenTZs2derU169fP3v2LDs729TU1MXFpWfPnqpkuagWLFjQo0ePy5cvGxsbjxs3TvUsDoZhkydPnjRpUlxc3LNnzzIzM01MTNq2bdurVy9NTFhtYGAgXXxRbcbGxn/++efSpUsfP34cGxtbVFRkbW3dpUuX9u3bq94Im81++PBhSEjI+/fvO3XqNGrUqG3bti1evFhhcFvt8/Ly8vLyev/+/aNHj75+/cpms52dnfv06VPdac99fHyePXt25swZkUg0cuTIrl27qr7vwIEDBw4cmJKS8uDBg4yMDAMDg2bNmvXt21ftWaml67Z+JyBBCABACCEc1TPBfYqIo/9VkEXEYUvGMlTz/A/GxJ2mS97IO8gQybsZnVTqFqQ2Vh9/SfJT+SDC6COMVu5aGUSIMRj2I4cm7z0sq0kPv9QmyFk7yyLWAIPFGDRn2Kmgw2KBSFrz8WUqx8G0UQ/FFaGBmSVn4cYRm/6ITInPlFU+uplUyhP9b/lAAzZ884JvNG1scXj7uIjLcX9tupWXz5PVkySKuPzm3sO0P37tN8rLRd/OGQAAUEd0cmkd8veq9Yt/Cz1zYd/x8JRPn8tvIx1Q+H+bdgX4DZ8x3tepEYz/BgAAAEBdhmFYhw4dOnToUMN2evfu3bu3mh36MQxr166d7ix2ViU2m12T14sQMjIyCgwMlBWtrKwQQg4ODjQEV2POzs5qDNRT4OLi4uLiovbuTk5OTk5wl7LaYCgDAKAMBx/CxOTL44nIRD75mJaWsQYDMNOWsiJZEEvm3Kel5crgDZsznOWrvhE5HyUJdzR6RCUsOrU3adZUVuSlf8l9/FxbwdSEhYOV2w/9qTWJV+KKMgor2/57xjFlz/t7WJvO31ylvX7wYfPiy6U8YWV7ge8WhiFfb5eoMzOnjO+M499kAnPySuatuDThp6NJqbnaCg8AAECD+pYLfwp4ezPiauiO0UMHspgVdPfJzMkL3h3aymPUkICfT0feKD/iEAAAAAAAALrExcUhhPr371/llgAoAQlCAIAMwwSfRC0XS46SiJZkBoY3+5FaJpL3IJKgo+VKsXpPog5/FN4LQ4REyfYa1chvGHXI4OdzkYRQpK1gaqLtwA7Ne7WSFQkxEXvqqWxMIaBiGzLnrPHs1PubeXrfvcr4Z97F4kK+tqICusysnuGK+QNP7JnYopm1wlOPnn8aOuHA+q13BEK43QwAAFqD47iHW7fjW9el3L24ZsHspg525bchCOJmzOPxsxc79vYO2rA1Lf1L7ccJAAAAAADqNqFQeObMGYTQjBkztB0L0G+QIAQAyLExVxYpH5svQbk84hItLWOWXTBL+Yq+ZEkq+fUaLS1XBm/QjNGip/yIeV/E8VobRGjs2MTCVT5GXphfmHU7RlvB1FDfGYNNrevJiiVZRdGHbmkxHl3GZDH+t2KQm2dLamXau+z1v53PzynRVlRAx3Vxdbh0dMryeR4czjdrJ4jFxK7Qh0PG7r/7IFVbsQEAAJCytam/8KeAxKiz0gGFTAaj/DZfs3ODd4e2GOAjHVAolmitpxoAAAAAAKhjtm3blp6e7uvr271796q3BqBykCAEAHzDUDIBkfJ7HCXEBQnKoaVlvNlP1CF9ktQDiNDsyDNWH3/quD1R9FEtDiJ08PXGmPI3NuNKlLhYL1NEbGP2wF+8McosiPE3Xr2//1aLIekyHMemLOg3yO+bOfEzPuSvn3Mu6zPMzgoqxmTgUyd0uXl6xtABLRWe+pBeEDD75PS5p79mFWklNgAAADKyAYXJdy+sWTC7kW2D8tvIBhQ69R4WtGHrxy9faz9OAAAAAAAyrUV2AAAgAElEQVRQlzx48GDJkiWNGzfetWuXtmMBeo+2BKGxsbGpqSmbzaarwZozMjIyNTXlcDjaDgQAfYIjGyRwlxVJJCyWnKSlZcy0JWbTT17mZxKfI2hpuTK4dRNGSzdZkcz/Io6L0ugRlWDXt7J27yErSkpLMyJvaiuYGrJt5dDFtye15u6+a0XZkO6qGIahcbN6+c38pktXztei9b+eT0+BVeVApRramO4I9tn3r59dw3oKT0XdSx4ybv/BY08lBKmV2AAAAFDZN7BZ+FNA0u0L0gGFDEYFv7K/ZGUH7w517j9COqBQItHsZPsAAAAAAKBOunbtmre3t42NTVRUlLW14gIlAFQXbQnCqKgoLpc7f/58uhqsua1bt3K53P3792s7EAD0DW8wjsxkJT75QEjSMz4Md5qBMKasSKSFIbFmR9Gxek9SHEQo0doKXnbegxhGhrJi1p37/Cx6RmfWvi6je9m3aSQrCkoEN7ZdJiFXUbmhE1wnzHajfBhRYR4veO6F5PhM7QUF9IBHn+Y3Ts/49Uc3JvObazZukWDVPzd9fgh9HZ+hrdgAAABQMRhlAwrjr4cv/CnAxsqy/DYSSdmAwmZ9h63asicrN6/24wQAAAAAAPro48ePM2fOHDp0aN++fZ8/f96sWTNtRwTqAu1MMZqUlPTkyROhUKiVowMAqkAactAoarmICEOIhtwPxnHA7bzlZVEh8fF4zZtVAq/fhNGqt6xIFmaK47Q2bo9pYtxwcH95MBLJ53OR2gqmhjAM8/jFm2nEktVkvE1/eua+FkPSfR6jXKYu6o9TRhXwigT/zr8Y/yxdi1EB3WdkyPrtR/fzhwI6tbdXeCrubabv1LCVf98oLhFoJTYAAADlNWvssGbB7LToS8e3rvNw64ZR+wf9J/1r1qote5q6e4+fvfhmzGOShF5WAAAAAACgUtu3b3dycoqPj7927VpERISVlZW2IwJ1RG0nCHk8nq+vr7Ozc7du3VxdXdPT4a4oALqIjfqyMEdZUUymlRJ3aGkZdwxADPkoOuLTSSTU7CyLBn38ESY/14lijmlxEGEDjz4GluayYv7z18XJadoKpoZMrEzbjupIrXl65sHnNx+1FY9e6DW4xc//N4hlIF+NUsAXbwm68vxeqhajAnqhdQub0/sn/7PS28LMiFovkRAhx58NHL0v/FKctmIDAABQngGLNXrowKuhO95cO7Pwp4D6FubltxGKRKcjbwwJ+LnNIL/g3aE5+QW1HycAAAAAANB9bdu2ffnyZUxMjIeHh7ZjAXVKbScIly9fHhFRtupYQkLCsmXLajkAAIBqMFPcHyF5f+di4iSJeDQ0bGCFNxotL0r4RGooDc1WDrO0Z7bpKyuShVni2OsaPaISOItpP3wItebTmYtIb/uM27Sxs+/SRFYkSfLm9sv8olIthqT7XN2a/rp2KJsy+FIskuxaeT3myjstRgX0AoYhX2+Xa6emj/JqqzAcJTO7eN6KS9N/O53+BVYDBQAA3dLCsfGaBbM/xFxWMqDwfdrHoA1bm7h5wYBCAAAAAABQXr9+/VxcXLQdBaiDajtBGBYWRi1++fKllgMAAKiIhbUwxLrLigTilhDnaGkZbzwRserJW/5ykeRpdtgZy30SwuVjtkQxx5FEpNEjKmHVvTOnsXyewJLUD0Vv9Dgz1GpYe6vG8iWRi3OLbu+5psV49EKrjvbz/xlmUo8ylJYgQzbcvn76tRajAvqivqXxv6uGHds9sbmj4owiUdHJg8bs27QnWiSSaCU2AAAAlWEbGEgHFMZeObXwpwBL83rltxEIhdIBhS5DRgfvDs0tgD4fAAAAAAAAAA2q1QShUCjMzMyk1owYMaI2AwDfFdkil3PmzBk7duzYsWMnTZr077//Qodc1ZkwJmKILSvyiKtiMoOGdpnGeBN/eZGUEKkHaWi2cpilHbNtP/kBudniV9pLYmFYI7/h1IrcyChSoq9383EmY9CcYUwDpqwm5XFi/I1XWgxJLzi2slm4aYS5FUdWQ5LoxI4HZ/Y+0mJUQI9079Qo8ti0RbP7sin/fQghvkC8eU/MkHEHnryk43QNAAD/z955BjSRtHF8NhUIRZqANEUQRUVEBBQ7KiqIYsV2dvHO136W8/Ts3ql3nvXsBStWFBEsiAULKoqigIggIqCUhBLSk933Q7wQkwAhfb35fdoZZmf+bJLZ3XnmeR6IpmnbuuWmJXMLH14XOxQqbJOT/3HF1l2uQYOnL19//2m6jhVCIBDIfwoURbds2TLmXxYvXiyu5/Fgkm8IBAKBfP+QGm+iOSgUSsuWLQsKCsTFLl26REVF6VIA5D9FWVmZ+CAxMVFSefr0aWdn5759+2p7dJFIxGAwhEIhlUptvLUhwePxampqAABEIhEAAIz6AqPr4j9hQMjgHiOwZmpgGKOe5pTzBP7XzwgrvVNpNkBk0kadLjkcTm1tLYIgBIKCrQ8Er8FGmXcB+tUOx0s5Xe3oixHJ8i11gZWFkXsr7vuvaef4FfSylFRiv576EaMGlZWVAABLN8uOw/zSz6dK6u8fvU1tbmLRwlJ/0hqBwWAYGRlJthHoBYopmLW216F1KYwylqQy8czL6sraoVO9FcYfAwAwGAwul8vlcnUlUzN8P1OigTEq1D3Q127z7oepz4ul6z8UMuatvNHN12b1z1ZWlib1nW6Y1NbW6ve3qTJVVVUAABRF9S2kyRjClKgCKIoyGAw+n89mayIEug7hcDhVVVVi8frW0jQMfEpsABaLxWazDU12n64+fbr65Hz4eCI24czVmyyObJB2Lo9/JenelaR7bbbtHT2k/6Thg5uZm+lFqgowGAwSiSQU6i3zt8pUVVUhCIK7Jxb8TokCgaCqqgpFUTJZT69mqtLw66chY5hTojJUVlby+fyKigrNdnvjxo1ly5bJ13/+DPfbQSAQCOT7R6cGQgDA7Nmzly9fDgAgEAjHjx8nkVQXwOVyd+3atWTJEs2pg3xXKPx2kUgkJycnCoWi7dGFQiGFQiGTyToYS7OgKCpWLr6AGDqIhz7FCAzxXzFyJtE4lyhqr/Y4FEGLcdSCHf8WMZPSUzzP39XpUXzNKRSK4jc0GyfMsyeSfVdcQtiV1NwU1HuQOiOqg13YgMKdh7B/15H5qS9IfXoQjHC2EiF+jadQKO0HdCrP/VL0skBcjwpFT47eH/RrBImi67uMkhjIz9PeiTL3j/4H1t77/LFKUvno+ns+VxQ5159AVPBNpvyLDmVqgO9mSjRA3Fyt928Nv/eoYMP2+2UVdcZmDAOPnleMnnVp9g9+4yI6EgiKTc4GiGRi0beQJoNf5Xj/eeJOuVAoJJFIeFRu+FNifQgEAvGdSN9CFNDR02PL8vm/zZt18frtI+fjXue8l2/zrqBw4z9Hdhw7M3JQ8NRRQ73beuheZ1OhUChEItEwr3nDkEgkPD5r4XdKBLi9DTXy+mnAGPKU2DBkMln8Vddst87OzkQiUSQX1Ad3RmsIBAKBQFQA0XG4RYFA0KdPn0ePHjk6OhYVFanTVUFBgYeHh0Cgt0RiEAPH3d09Ly8PALBz5057e3txZbt27XST0FUoFNLpdAsLCyMjo8ZbGxJcLre6utra2lqy9MPFHleL9kgakJAW1sTfAVB7vyGGip7NxGrrFkGIPtsQqy4q98dms5lMpq2tbX1vaFh1GWf/DCD6upEZMbUy/vEIIOntvajg+NmKx2mSosPgYMdwvRksVSM3NxcA4OHhAQDgMjlnlxxjVdZK/tpxkG/PqcF6E9cgZWVlRkZG5uYK0v/oHhaTt31Zwoe3ZdKVPkEto1b1J1Nkf2ilpaU0Gs3U1FSHAjXA9zQlGiw1TN7f+1NOnHshQmUf7bp2dtrwS0gbNxu9CGsqNTU1fD7fxgYfaqVhMBgAACsrK30LaTIGNSUqD4qi5eXlZmZmJiY4c5Nls9nv3r1zc3PD3TXH0ZQoQ21tLYvFsrOz07eQxnnxJvtgTOzpK4nyDoUSfDu0mxkZMX7YYJqxsS61NYmKigoSidSsWTN9C2kyGRkZ1tbWjo6OjTc1JPA7JfL5/MrKSktLS9zZqxp9/TRYcDQlyvDhwwcej9e2bVuN95yRkZGTkyM+/vTpkzjKqJeXV2ZmpsbH0gvLli3bsmULAGDz5s1Lly7VtxwIBAKBNISVlZU4ZhuDwbC01Hp4Nl0/x5DJ5MTExL59+xYXF2/cuFGdrjIyMjSlCvJdIgnQN3jw4NH/ohvr4HeGEdKNgtQ9gguxEjZ6SwP9IgSC2zTpCvT9PwDTYmQ2xKI5qWN/SRGrZQjTE7Q3XKO0CB9EoNTtSSxNus+vrGqgvYFjZGY8YF4YIuWl9PrGiw9pCnbBQ2SgmVEXbQ316GgvXfnyYcGOXxK5bLgJBqIs5mbU1T/3v3x8sreXg8yfnqUXhY4/uvbPJDYbZ/EMIRAI5L+Gb4d2ezes+PT4+t4NK7zbKQ6//+JN9o8rNzl3G/Tjyk0Z2e90rBACgUC+P7y9vSWrRiEhIeLK+pI+QCAQCATyPaGHjU7m5uaJiYnTp09ftWpVVFSUaomUUBTdsWNH4+0gEIgmMCNMlJ4uatFLKKhRv1vEJgix9JEUsdr3WPk99bttAHLQOECs2/MueHweCPSWeJzSzMJOKu8gKhCUXL2pLzEaoYWXc+dw/7oyBpL/Sayt0MBX5bvHmEZZuCW0o7+zdOXb9OK/fo6vrcFZukGIfunQ1u7i0YkrF/UzMf4mJpJQiB6LeT543NG7j/L1pQ0CgUAgSmJuSpsZOeLF1dPXDm0fNSjYiKrAs6qmlnUw5pLv0PG9xk4/eTmBw9XbMy0EAoFAIBAIBALBKfoJDkOlUg8dOhQZGRkVFeXl5bVt27bhw4crea5IJHr69OnWrVuTk5NxF9wGAsEpJKSlMaEXB70rLmKAXYueMyfMUL9nQqsZosr/SYpo/iGiTQ9A0Fasf8TcluQ9UOI4iLEqBS/iyQEjtTRco9iH9C1/+FTI/BqWk/7kefM+QSYuOItoJI3/mB7FbwpL339N585jcW/tuha2fCTZGGchg3QPhUqas2HQ4U3Jz+7mSSo/vC3b+GPsiBn+fn1aww2sECUhEQnTx3cN8LHZtOPe4+el0n8qLK6aOu98544tpo3zGxTsSVKU5xICgUAghkOAT4cuHdru27TyfMKt3cfPZr7Lk2/z6PmrR89fzV+7ZWhwr0kRYf26d4VeLxAIBAKBQLTN27dv79y5U1RURCaT3dzcunXrJk5Ao0tyc3Pv3LlTWFhIIpFatmwZGBiojSjEmgJF0SdPnjx+/LisrKxZs2atWrUKDg7GY3INhRQVFSUlJeXn5wMAXFxcOnfu3KWL6mmkVKOkpCQpKSkvLw9FURcXl06dOvn7+zd+WlO4efNmcnLyunXrcBcavQF0amCrra3t1KmTdA2Hw/n8+XNERISzs7My6X9ra2vpdLp86mAIBKJtTAmjuehTDLDFRQ56l4K0M0KC1OwWadYRsemOVTwSFzF2EZp/iOD+o5rdNgC5+1hhxi0g+hq5UfgohtQhGKHpJz8K0cioReiAwphYcRFD0byDx9stm0cypelFj/oQiIQB88LOLYvmc75GMvz8tujy2pjQ5SNNmuH1n9IZJBJh5spgYxrl/rVsSWX555r965NunHs1OirQ06eFHuVB8IWttcnSH33oNaZr/kwqKqmW/lP665K5r+Mc7Mwnj/WNHN7JwhxniSEhEAjkv0Yzc7OZkSNmjI249+T5/tMXr9y6yxfIBiGvZtaevJxw8nJCaxenCcOHTIwIdXPG8Z4zCAQCgUAgBsv9+/d//fXXBw8eSFciCNK/f//Vq1cHBam7VKgMqampK1asuHPnjoyGPn36/Pbbb3369FG5ZyaTOXbsWIHcs5Y8NjY2p0+fVmZjFoZh0dHRGzdufP/+m0Q8RkZGY8eOXbdunYuLi8qC9U52dvYvv/xy9epVFP0mb5Sfn98vv/wyYsQIHWh4//79L7/8EhsbK2M28vHxWbZsWWRkpPpDJCUlrVq1KjU1FQCwcuVKaCBUEQqFUlFRUVOjINzcp0+fdKkEAoE0FQKwMCUMY6JnJDU1okNEoj0Zaa1uz+4/iuhPAPZ1BkcLzyKWnRHrQDW7rQ/E3JbkEyJ8Hi8uYlyWIPkQZejPWhquUWx7Bn5JTuGXVYiLvArG+33HPBdEIbj1kDa3a9YnatDN7XGSmvIPpRdXngr7ZZSlo5UeheECAgGZtKiXiRn1esxL6fqCnPKti656dXHsN6qNe3toaoUoS98ebkEBM/ZFp/5zNFUg+OZB+XNpzR877/6978GQ/p6zpwS2cftO9i1CIBDI9wqCIH0C/foE+pVWMKIvXj18NjavsEi+WV5h0bqdB9btPODbod3E4UMmDB9i3cxC92ohEAgEAoF8fwiFwiVLluzYsQPDMDKZPHHixN69e3M4nLS0tBMnTty6dSs5Ofm333779ddfiUSiljSgKPrrr79u2bIFRVESiRQZGdmvXz8+n//ixYvjx4/fuXPn3r17y5cvX7t2rWqhB3ft2pWYmKhMyzVr1ihjHaTT6ZGRkUlJSQAAGxub6dOnd+jQobS09M6dO9euXYuOjo6Lizt06JBuDGkaZ+fOnUuXLuXxeAiCDBs2LDQ0lEAgvHnz5ujRo2lpaSNHjpw+ffrOnTtNTEy0p+HAgQMLFizgcDgAgCFDhoSHh1MolMzMzCNHjrx8+XLcuHHx8fF79+41MzNToXMMw+Lj49evX//s2TNNCzcUdBpaikKhTJw4UZcjQiAQDWJCGERG3CVFDAiqRTtRUN3AKcqAmLgQnKSDfGKi7C1AUKVmtw1ADhqPGNWZWIRv7qCFr7U3XMMgBELziCGI1JNTbV7Bx9MX9aVHI7h38/Qe7Ctdwyyvjl19ujS3RF+ScASCgFGzAkbNCiDIhX/Mel68Z8Xd0zseM8pq9aINgkeMqKQFs3rEn5zctbOT/F95fGFsQuagsYenzb/w4EkBhuleIAQCgUCahp2N1dKoydlJl25E/zNqcH9yPYtfL95kL9rwl2vQ4GGzFl5ITBIIhTrWCYFAIBAI5HuCw+GEhYVt374dwzA7O7snT54cOXJk8uTJs2fPPnTo0Js3b1q2bCkSiVavXj19+nRMO++WPB5vxIgRf/zxB4qi1tbWDx48OHHixNSpU6Oiovbv35+dnd2mTRsURTdt2jR+/HgVYhCyWKzt27cr09LExOSnn35qtFleXl5gYKDYOhgYGJiVlfXHH39MnDhx8eLF8fHx165dMzY2rqysHDVq1IEDB5qqVr9gGPbTTz/Nnz+fx+MZGxvHxcVdvnx55syZ06dP//vvv3Nzc7t16wYAOHz48KBBg8TWO22wePHiqKgoDodDoVDOnz9/7dq1qKioqVOn/vnnn3l5eX379gUAnDp1Kjg4uLa2aStpKIpevXrVz88vPDz8O7YOAh0bCAEAUVFROh4RAoFoDmIz4kICsJSURYBeJdqOAXWXGwitZyFmUpHK+XRR1iYAtLVQjdCakXtNlqrA+Df2AFRviyYmbq6WYQOkayoep325eVdPcjRDjynB3cb3AlJbqbhMzuW1Z/NSc/QnCk8MivRZd3i0X283me1oGIY9vZ2/YuKZM7sfsmv5elIHwR9tWtueOzjh/KEJQ/q3JRJkNzliGLjzMG/SnLPBIw8ePZPG4TYeTQUCgUAg+oVAIAQH+cfs+uNDyrWtKxZ2bKs46w+Xx7+WnBI5d7lbr7Clv29/k/NeYTMIBAKBQCCQBkBRdOLEiTdu3AAAkMnkuLi4zp07Szfw8PCIi4ujUqkAgOjo6J9/1nykLgzDpk+ffuXKFQAAgUC4dOlSQECAdIOWLVvGx8eLndXOnz8/Z86cpg6xZ8+e8vJyZVpOnTrV1ta24TZ0On3IkCHisKLOzs4JCQkypwwZMmT37t3gX2PbhQsXmipYj6xcuXLv3r3i44MHD4aFhUn/1dbWNi4uzt7eHgCQkpIyZswYoRY2q23cuHHbtm3i4927d48aNUr6r5aWlrGxseLwrc+ePYuIiODxeMp0i6Lo+fPn27dvHx4e/uLFC43LNjR0bSD09vYWW48lUKlUS0vLVq1auSmBi4uLpaUlTLoOgegLArBoRpyPSEUnFmC5TPSE2v2SCe3XAKKxpAKjP0GLYtXttn5IvqGEFp6SIlpRKHh6WXvDNYqpb0e7fj2la4ouJ1S9ytSXHo3QeVhAv9mDpd3gRALhzR1XM2+9bOAsiAR7l2azVw/4Zddwj44OMn8SCtHbl978MuF04pmXAj7MywtRFj8fpz1/DLt9adbsyYHmZlT5Bh8KGev+uh0waM/aP5M+lyqICQ+BQCAQQ8Pe1nrhtAnp8WcyEs8tjZpsb2utsNnnsopth0/6hEZ6DxqzZX/0l3K6jnVCIBAIBALBLxs3brx06ZL4+Oeff/b395dv07Fjx3nz5omPt23bdvz4cc1q2LZt26lTp8TH//vf/3r16iXfxsPDY8mSJeLj/fv3SyxYysBms//66y9lWhKJxAULFjTcBsOwcePGvXv3Tlzct2+fpaWlfLNp06YFBgYCAEQi0Q8//JCZiY+VwAsXLmzatEl8PGzYsAkTJsi3sbGx+f3338XH8fHxq1at0qyGa9euSfrs37//zJkz5dtYWFhs2bJFfJyUlCT5bjRMbm6uOHRqbm5ubm5uSEiIpjQbJoiWHH4bIDo6esqUKQCA3377bc6cOc2bN29qDxiGXb58+YcffuByucqkDIX8N/Hw8BDv0cjNzXV3d2+0vWYRCoV0Ot3CwsLIyEjHQ6sJl8utrq62trZuIFQ3F3tQLdonXWNOmGZM6Kfm0GhxHJojdScmkIl++xBTZT87NpvNZDJtbW0JBKW2PqBf3nOPLQDYvxl0yVTjmfsQC7umidYENTU1XC7X1sbm/b5j1a+zJfUEKrXdkjnGjrLGIcMhNzcXAODhoXjHuphPGQXXt10RcL7xdes8LKDbuG/8C3VMWVmZkZGRubm53hQ0kaznxWf/eVT8gSH/J6vmpmETfXsMaUuQcwszHL7vKdEwKS0t/fz5s7e3d31TYi2Ldz7u9ZEzaUUliiNFk8nEAb09po/38/V21KZSWWpqavh8vo0N/nIiMhgMAICVFf6SreJuShSDomh5ebmZmZlWE1poAzab/e7dOzc3N9xdc/xOibW1tSwWy85OD495alJVVSUUCps0JYpE6N3UtBOx8ZduJLM53PqaEYmEPoF+E4eHjhwUbGKs+btzRUUFiURq1qyZxnvWNhkZGdbW1o6OOr33qQ9+p0Q+n19ZWWlpaUmhUPStpWk09fXTcMDvlPjhwwcej9e2bVutjpKZmdmhQwcAQPv27d+8eaPVsXTGsmXLxEvkmzdvXrp0qb7lQPBHZmamr68vn88HAJiYmBQUFNTnPPflyxcXFxfxcr25uXlmZqaTk4JUFyrw/v17b29vcaRKCoWSl5dXX88MBsPR0ZHL5YrVZmRktG7dWpkhtm3btnjxYltb25SUFDKZ3EBLMpns7OzccG9HjhyZPn26+NjX1/f58+f1tbx8+XJERIT4uHPnzs+ePdNeBkeNwGAwvLy8SktLxcWnT5927dpVYUuBQNCqVavi4mIAAIFASElJ6d69u0Y01NTUdOjQ4dOnT+LinTt3+vTpo7AliqJt2rTJy8sDACAIcuvWreDg4CaNVVJS4uzsjKKopIbJZJqamqooXQmsrKwqKysBAAwGQ6FdWbPo4TlmzJgxlpaWnp6ea9euVcE6CABAECQiIkJJky/kP4skunFERISfn5+fn19AQMC8efOgUVl9jJAeJoRvQmLWoNF87K2a3RIcw5HmfevKqADNXA9Qpby/VRnO3p3UeXBdWcDj3z6kpbGUASEQ3KZNMG5hL6lBebzcf44Kaph6VKU+zt4th60aa2zxzVJF+pUnyfsSURFa31kQGby6OK4+MPKHRb3MLGWX8Bhltce33V8z43zavXy9aIPgFFMadeo4v3uXow5tGxnk31K+gUAgSkh6O3LayfBJ0ZeuvRHCHywEAoHgASKREBzkf+zPdZ8eXT+6dW1wkL/CADwiEXr74dOpS1Y7dx805effbj98qvutwxAIBGII8Hi8OXPmdO3aVbxwNGbMGHE9m83WrzAIxHCYP3++2DoIABgxYkQDoTXt7e0l7lY1NTUrVqzQlIZFixZJVnpDQ0MbsDtaWVmFh4eLj9ls9rJly5Tpn8vlit0HFy9e7Onp2XCMw0atg7W1tdLG+FmzZjXQODQ0VLIbLD09/fDhw8oI1iNr1qyRWAd9fX3rsw4CAMhkssS5EEXRBQsWaOqBc9OmTRLroKenZ33WQQAAgUCYNGmS+BjDsAULFjQ1OWWLFi3wuKtGefTgQQgAWLhw4Z07d16+VCvKXHp6ur+/PzT2QOrDyMhIYWTh48ePDxw4UNujC4XCyspKMzMzPLrLMJlMS0vLxvaGi4D5AUCWymKCmoGahUBkoc7oBJRl/n4JUVBRp8cqhOUwXZlz2Ww2i8WytrZuwhZOPtv00q8Iu0pSwRmwQOjcqSmSNQCTyeTxeOKnAWFVTemBEyi7Lnkv1dmx+ZQxwCB3D+Xn5wMA3NzcGm3JqmA+2He7tuybiIV2bVsETutNMmpoW5aWqKiooFKpZmZmuh9aTUqKS7MeVzxOKOByFNz+3Dvahozv0KKlWj9DbfAfmBINjvLy8tLSUi8vLyWnxJw8RmxiTkLSe75A8bOyg53piCGewwZ5mptqd4M/k8nk8/nW1opD5Bky4i1+Otjfp3FwOiWiKEqn02k0Gu7cZdhsdn5+vqurK+6uOX6nRBaLxWazG80TY4BUV1cLhUI1p8Ti0vLLt+6djrteUPy5gWaOdrbDB/QeHz6opSbCV9DpdBKJZGFhcM8kjZKVlWVpaengYLgxPBSC3ymRz+dXV1dbWLAOYzAAACAASURBVFjg0YOwya+fhgF+p8TCwkIej9dwABsViI+PnzFjhny9iYkJi8XS7Fj6AnoQQtThyZMn4hiYYs6dOzd69OgG2h84cCAqKkp8TCAQsrKyPD09G2ivDBkZGT4+PhIrxtGjR8XhCevj1KlTEydOlBTT09N9fHwaHmL79u0LFy60srIqKChQ/yn9zz//lLg2IQhSVFTUokWLBtpPmjTp5MmT4mMnJ6f8/PyGXRj1SGlpaatWrSTG2jVr1qxevbqB9g8ePOjZsy6n0uXLl4cNG6amhsrKSldXVybzq0PFkiVLJHFEFZKenu7r6yspnjp1avz48U0asWvXrmlpaZLid+ZBqJ9Xu6ioqH/++UccR0LlThr+XUEgCg2EpqamPj4+NBpN26MLhUI+n0+j0XC3Gk4kElEUpdFojS79YOiPHOx3DPnXmEdgEiyOGfF+RoA6r3Y0kftS4tvlksifRowbRBt/UbPAhk8DAIg3R9NotCa8odFoWPfxSNI/kgrjJ6cw9y4YSUFqLu0hEolIJNLXryWNRpkSWXjgBPZv8l7ep+LquJstJowEhpd+VbwAocwPikajDf4lInlHAr2gLttz6duSh3tv95s3xMjcuIFztQGHw6FQKDqYCjROM0uz4JHN+0d0So7NuheXI/zWlvP+dXneijudursMndzZ2l6LDytN5b8wJRoabDbb2NhY+SnR15vm6+08f2b3c3FvzsS+rqqWjUr3ubR2z9HnR2IyQvu3mTSqk5urth5SRSIRmUzG489TvKkWj8pxOiWiKMrlcvG4Go4giLGxsYmJCe6uOX6nRAzDEATB3QUHAAiFQqFQqKbyNm60pVEtl0ZNfpmVExN/8+y1m5XVCgJUFJeW7zl5Yc/JCz5enlNGho0cFGxGU/3HxeVy655vcYX47ok75fidEslksvhLjjsDoSqvn4YBfqdEExMTIpGoceWdO3c2MTGR9xc0Ntb1WyoEYphIm14QBGk0PGPfvnWxwVAU3blz5549e9TUsHXrVmkfp/79+yuvAQCwffv2Y8eONdCey+X++eefAIAFCxaobx0UCoXbtm2TFL28vBq1YvTt21diICwqKrpw4cK4cePUlKEldu/eLbEOAiU+C39/fxqNJtlvsX37dvUNhPv27ZNYB5XR0KlTJysrK3FOELGGphoItWoO1Dv68SAEAOTk5LRp00ZhtJMGKC8vf/Xqlbe3t2qxSSH/KSQ5CGNjYyWu387Ozrr58vxHEm4JsUKGaC0G6gyxRkiQBfFHNTWg+QfRgpN1ZbIFyf8IoDaSfEXVJBAY7/Qvoo8ZdaMFjSP3mtQkwWoizkEo/c2seJxWcPysdBvHYYMdBqmb5VHjKJODUBoBT3Dz77iP6d9EwjS3azb0l1EWDjr1ucFpwi0AQGlpKY1GEz+a0EuZl4+kpSa9k7+TE0mEoEGeEdO6mjUziNfa/8iUaFA0moOwAfh8Ufyt7P3Hn77LK1fYgEBAuvm5To3s0q+nu8a3LsAchLoHp1MifhNuwRyEuge/CbdUyEHYKFwePz75/onYazfuPRLWH2HJiEoJ69drYsSQQb2DSE0PZQFzEOoY/E6JMAeh7sHvlKi9HISlpaVFRUXi4/z8fHGUUZiDEAIBADAYDAcHB0l8UVdX14KCgkbPsrOzKysrEx9bWlp++fJFnUm+trbW3t5eYmGytbWVdN4Abm5uHz58EB/TaDTxWkp9jXft2jVv3jwLC4uCggL1n16uX78+eHBdSqOJEyeeOHGi4VNycnKkJ7eQkJDr16+rKUMbYBjm5uYm+Q4QCITq6upGjWd9+/a9e/eu+BhBkA8fPri6uqojw8vLKzs7W1IsKytr1C0+LCzs2rVrkmJmZqaXl5fyI4aEhNy8eVNS/M48CPX2HOPp6dlU6yAAoFmzZn/99Zevr++LFy+0oQryXdKhQ4cu/wJNy5qFhLhYEGcDUPdb5mIP2ai69zBCq2mIRfu6sqBalLle4lOoaRDywB8BoW6dS5B6HqV/0s5YymLTzc+ufy/pmuK464znr/SlR1OQqeTBSyK8gr2lK2tKq2JXnynPL9WXKvxibWc2/Ze+v/4zwtNHdjOaSIjej89ePuFMXHQanyfUizwIfqFQiCNCO9w4O+38oQn9eraWf15DUezh04IZiy6GTjh65tJLLvyOQSAQCH4wolJGDe5/5cDfH1KubVu52MdLcdQvLo9/ITFp+KxFbj3DFq7/82VWjo51QiAQiM6ws7OTrBo1ackYAvnuuXDhgsQ6CADo1EmppDzt29et6VVWViYlJamj4cqVK9Lxfr29vRtorFADi8VKSEioryWPxxNb0C0tLffu3ZucnFxTU1NfY2U4ffq0dFGZi+bu7i69nTo5OVni7mZQPHz4UNpC7ObmpoydTHpexTDswoUL6mhIT0+Xtg46ODgoEzRbZm5vqgaDjfiqEXC20YlMJp8/f97BwaF3794PHz7UtxwIBAKoSFcaIVS6home5mMZ9bVXCoRI8FoJSHVbe7Cql2jh2QbOUAeCjSvZf3hdWSQU3NynpbGUx3lEWDNvqbsXhhVEn2V91LPlUn0IREKfmSFdR3WXrmRXsy6vOSPjWQhRkpaetku2DV20NczJTTZBEY8jiIt+/uukmPvx2Siqn4ABEFzj5+N0+O9Rdy7NmhLZxcRYwQNx9ruyFZtu9Bi6d/Oue1/KFASsg0AgEIjB4tDcZt6UcWlxpzISzy2Nmmxno9gBuqSsfFd0jF/4BO9BY7bsjy6tMMTlKggEAoFAINogMTFRuqik41e7du2ki7dv3zZkDUePHhX7EBcUFKxYsSI4ONjS0rJbt2579+4Ve3E1CQzDVBBMJBLbtGkjKQoEgvv37zd1aB2g2mchY5xT02CsFw24C6DSJHBmIAQAmJqa7t69u7a2dtiwYeLodhBDhsVibdu2bfv27foWAtEipoSxVEQ62S9aLfpHhKnlEIYYtyC2WSBdg+Yfwmqy1OmzAcg9JiAWdSFWRAXpomx934kRpNXU8caODpIKVCB4v/cYv6paj6I0AwK6jg7qGzWIQKy7Bwl4gsStsVm31TMt/4fx6uK4+uDI2asH2NjLhsuvrGAd33Z/9fTzafegCRaiCq7Olqt/7p+aOOe3xcEt7BVERKQz2PuiU3sN2z9n+ZWXb0p0rxACgUAg6uDl4bZpydzCh9dvRP8zcfgQE2PF8cCz3uev2LrLJWhQyOSfTsRe43Bl071DIBAIBAL5znj06JF0UZLCqWFkbDYpKSkGq4HP5//+++8ylSiKpqam/vTTTy1atJgyZYokBLEyvHv3rqKiQrrGyclJg4L1i0Y+i0ePHqGo6lHiNKLh6dOnPF4THmVVCISJI/BnIAQAZGVlAQDodPrs2bP1rQVSL7W1tTt27PDw8Fi8eHFqaqq+5UC0CmJO/JGI2EvKKKitQndI5yZUpVP7gYj9gLoyJkQz1wORbOZwzUCmUoJnSFfwb+3HeKz6musGohHV/cepJLM6b31Bdc37vcdQvkCPqjRFu34dQxYNI1Hq9uCgIvTuwRvPzkPvcBVBEMSvt9u6o2NGzgwwMZWN7//5Y+W+tbd+/9/l3Ndf9CIPgnfMTKlTx/mlxM0+tG2kXycFbzgCgSgh6W3ElBOjp59KSHorgk6rEAgEgiuIREJwkP+xP9cVPkw8unVtcJC/wqUQkQi9/fDp1CWrnbsPmvLzb7cfPsXkkyFDIBAIBALBP3l5eTLZ/pS0dclkOX3z5o3KBqEvX75IUgmqo+Hdu3cKDULR0dGFhYX1dcLlcqOjo9u2bbthwwYul6vMuI8fP5apUdKCJSM4I8PgNtALhcKnT59K1yj5Wcgk/KqpqZH5TJuEzBVWTQOPx8vJgfHzv6I378jKyspbt26lpaWVlpZyOJyamhpR/QnSxe0BADU1NUwm88uXr4ubycnJT548CQgI0IViiNIwmcx//vlny5YthhkuGaINCIDWjLCIIVqDga8GPCFWWC3a24w4XzpDYVMhei4W1WRj7K9bdTBOCfpuJ6Hdcg0oVjBWENHdX/T+660OY1UKHpymBM/UxljKQ7W2dI+anLN9Pyb8muKLXVj0ITqm9YyJAP+7V1r5uQ/7bey1zZe4TM7XKgw8u/ColsHsPWOgtH8hRHkoVNLgcT69wtpdj3mZdPG1gP/NvTUvq3Tz/Cve3VzH/tjNzslCXyIh+IVAQIJ7uQf3cn+d/eXombSrN7OFQtk3vbRXRWmvilwcm40b0Wn8iM7mZlS9SIVAIBCIajQzN5sUETopIjQn/+PZ+BsnY6/lfyqWb1ZVwzx5OeHk5QRPN9exYSETI0LdnB11rxYCgUAgEIiWkLegqGaM4XA4BQUFbm5uetQgFArfvXvXsWNH6UqBQCDvPigPi8VatWrVxYsX4+LiGrX2yQgmkUj29vb1NZZGxkAo9o8yKIqKitjsb9w2VDPWAgCys7Nbt26tgoby8nIZc4M6GpTMZ/ndox8D4fHjx+fNm1ddrYFAeU+fPoUGQsOBTqfv2rVrx44dVVVV+tYC0TUkpIUFMapKtB2Ar5uIeVgaC71KI4Sr3inRmOC1SvR8DsC+msfQz4mIVVfELlh9wfJQ+kdxCl4C4df0y8JnV0gdggl2qjzBaBDT1i1bThj1ITpGUlP5IuNz4m2HIf31qEpT2Hm0iFg7Lv73C8zyuhTQ2cmvuTWcAfOHSvsXQpoEzYw6cmZA32Ht40++SLn2VmZrf8bjj5nPPgUN8hw2xc/CykRfIiG4pmM7+23rwpbP63P60svjZ19UVnNkGhQWV23edW/34cfhg7xmTOjq5qo4tRUEAoFADBZPN9ff5s1a+b8Zj19knLycEHP1OpOlIJhHTv7HdTsPbNh9KLBzx0kRoZFDB5nR4NMFBAKBQCC4p6CgQKbG0VGpzUBmZrKpT0pLS1UzEMq7mqmjQcZAWFNTs3z58srKyrKysg8fPuTm5mZnZ9fnwvTy5cugoKCrV6926tSpgXFlLpqdnZ2S6etMTU2li2VlZRiGGVRkS81+H1TToNnvg2oavj/0sPZ6+vTpKVOmaCoOCY1G00g/EI2wd+9eGo2WnJxcU1MzYcKE4mIFW011BofzdbEyIiKCSqUCAMhkcpcuXf7++28ymaxHYd8xVKQLjRDBQi9JamrR8yTEmYp0VrlPxLwtodVkNP+wpEaU8xfRoj1ipNQGnKaNZelA7jZakHLqaxlD+dd3Gf2wTe++etaBXTifv3y5eVdSUxx/k9rcxsrPp/6TcIOlo/XI9RPj/7hQUVAXueJD2vsr686GLhthZGasR214x6q56Q+LegVHdLh48ElG6jdBM0RC9H589pOk3H4RHYZM6GxsIhuSFAJRhuY2pgtm9fhxSuC1W2/3RT/Jza+QacBi889cenn28qs+QW7TxvkF+bfUh0wIBAKBqA6BQAjy8wny8/l71c/xyfdPxF67ce+RUG7tDEXRR89fPXr+auH6P8P69QoP7jGwZze9CIZAIJAmwePx5s+fn5aWJi5KlpJkHGUgghpm2b1H3C9ljTeFGAAkU5ptUICJi1rO/R8/fpSpkbeyKES8DCuNyp4kWtVgbW09a9Ys6Romk/n48eOLFy+eP39eHM5Qmk+fPgUHBz958qQB7zcZwUqqlRcsFApZLJaM1VC/4Pr7QKFQEASRNkhB7yYJujYQslisefPmaco6aG9vHxYWppGuIBph5cqVkuN58+YtW7ZMj2IkKWHfvHkjqUxNTQ0ICBg4cKC2RxcKhZWVlVwu18jISNtjaRYul8tkMoVCoZI7XOToDkzzAPXVv0WsSrgbVM8HIllX7iZgNMCc9oTM+vdzFLJ4L1dXt1wDkG9CULLZbBaLhaIogaB6aEqkdR+TjNuE6q9xjNGSHMaDC4I2vVTuUBmYTCaPx2t4YiR362JcWMR5+/5rGcM+RJ9lERCKo+YNpcoj/pWZm5ur31XQnOAnR+5/ya7bVVCaW3L+1xM9fuxvYqX5jSAVFRVUKlXy7ocjysvLWSwWi9WEBJkkEzB2vm+Xfs43zmSWfPjmAYjHFSaeeXkvPqtnmEdQqDuRqC1b+H94StQb5eXldDq9tLRUnSlReYL8bLt3CUt7VRJzJevRsyKZ+QxFseSUvOSUPM/W1hGD2wzp704hE+vrislk8vn8hiPPGybiF0iBAH9pYnE6JaIoSqfT2Wy2iQnOfJXYbDadTjc1NcXdNcfvlMhisXC6zltdXS0UCg1nSuzp27Gnb8cvFfT45AfnEpIyc/Pl23B5/AuJSRcSk+ysrcL69YgMHeDloeeAHE2CTqejKIq7Lzl+p0Q+n19dXc3n8ykUnO1X08jrp17A75RYUVHB4/E07vMRHx+/f/9++XroXCINn1GVvWWXoLqm8aYQg6Hi4dPWMyc269RB5R7kg/8peZfRoEFIxxrMzMwGDhw4cODAP//8c8+ePVu2bJExE9Lp9GHDhj1+/Lg+u5SMYGNjZXe9KxRsUAZC+Quo8mehclxJlTUgCEImk/l8vvoavj90/dQbExNDp9PV7MTY2NjFxcXHx+e3336TCSgMMRw8PDz0K8DIyEg+/ayZmVnnzp114HgqFAr5fD6NRsPdajiRSERRlEajqfFWPI2DbUaRkq8lhEewiDbmLweY6q5gqMcS7M3/ECFTXCSx31pUXxU6jpduI/a7p9Fo6r6h9ZkBrmyQlIzSzlPa9QBGym75UQGRSEQikRr9WppMGv1xz1FuyVfjJSYU0s9ecZ07g9xMA/Y51RDfhjXzg6KB/gtCHx698yE1V1LHLK2+uz0xeH6olYuNBoaQgsPhUCgUPPqgs9lsY2NjFZR3CqR5B7i+evTp6rF0emntN30y+TfOZKbf/zRkYqdO3V204TH7354S9YPkq6LLRas+QR59gjw+FlWdiX196Vo2hytrKsvJo/+x+/HBU6/GDGs/PsK7mYWC74NIJCKTyXj8eYpfNvCoHKdTIoqiXC6XRqPhbjUcQRBjY2MTExPcXXP8ToniAE24u+AAAKFQKBQKDU15axpt/tTx86eOf5tXEBN/49SV6+UM2S32AIBSOuPw+bjD5+PaurWMHBoyYdggWytL3attKuK7p6Fd80bB75RIJpPFX3LcGQg19vqpc/A7JZqYmBCJRI0r9/X1pdFo8lswcfdr0iol8TegdRB3YCJRYcxli45eiKrTlPxmAiXNXfITo8rGGH1pMDMzW758+ZQpU3788cfLly9L/ykzM3PVqlXbt29XeKKMYOUNhAoFK5lgTzfI725U+bNQ2WCssgZ5GdCDUIKuX+0SExPFBxYWFtOnTw8JCWnXrp2lpaWpqemjR4+CgoKWLVv2xx9/1Hd6fHx8eHj4jBkzdu7cqSvJEBWxsdHwgn5TsbW1FU/9sbGxkhSyrq6uuhEmFAp5PJ6pqSnuVsNJJJJIJDI1NVVj6cfUGFvCEP2Ggq/2PBQpFRgdtST+DIDK706mWLuloter6nSWnKE290cs62JsEggEDMNMTU3VfUPz6s7L6Sl6m/K1yK2lPDtPGTxPrT4bRPw+r8y2oDZzpmVv3iWo+XphhTXMzyfOtV30E4Gqn9dp8SuTBjc0DV4w/NmFh88uPJLUcKrYNzZfCVkU7tKplaZGAQCw2WwjIyOD2oqlJCwWi0ajqay8R4hXYHDbR9dzYo88ZVZxpf9UVlxzbHOKW7vmI2cFenZy0ITYOv7bU6J+YLFYJiYmGpgSm077tqYbfnFaNLv3ubiM6LMvvpQxZRrQK9l7jz07fPpFaP+2UT8EeLrbSv8VRVE+n4/Hn6fYQIhH5TidElEU5XA4pqamuFu/IxAI4p8n7q45fqdEAACCILi74OBfA6HBKvfr1MGvU4fNyxfeTU07GHMpLukeX5EX9dv8gjU79m/658iAnoGTIkLD+/emGHDGBxMTE/EvVN9CmgZ+p0Q+ny8QCExNTXFnINTY66c+wOmUKDYQalx5586dP3z4UFj4NSNDfn7+mDFjAAB2dmqEQfruYBV80rcEiCrwq6oF1UyKpYVqp8sYY6hUqpIznnxUFZUjZ6hsEJL2FVNZg729fWxs7I4dOxYuXCgd92vv3r1z585VGGhUZhTlzVfyF83QvL3lL6CSTx0a+SzEyF8T5Z98ZK4w7qK5aA9dP8e8fPkSAODp6ZmZmfnXX38NHDjQ2dlZfHfv3r17+/btjxw5Iu/1JSEsLGzevHm7du26ePGi7kRDVMJw8vx16NChy7/o3Wz5H4GI2FoQ50jPMHwso1YqN6EKILa9CC2kQgpjqCh7IxBoZQsbZUAUQq3blih8dQMtztbGQE2FYmXp/tM0gtSPi11Y/CE6BmgobrP+QUDX0UE9JveTzsMs4PITtsTmPjCIj+A7gEQi9AprtzE6cvA4HwpVdoU3P7ts68K4bUvii/IZepEH+W6wsjSZPTnw/pWoPX8M69yxhXwDPl8Um5A5KPLI6OmnEpLeitDvZR6DQCCQ/xhEIiE4yD9m1x8lT27u3bCie5dOiKJwBHyB4FpySuTc5Y6BIT+u3PQw7aXupUIgEIhCbG1tJatGXl5e+pZjiJAt9Ba4CKIOCIlEoqm+cYRI/CYxhPL7feUNQirvFZbRQCaTldypJm9vU1nD/PnzZdyZ+Hz+jh07FDaWkafORVPeuKgbZD4LoPR/p8HPQv7TV7IrFEVlgvbjbv+69tC1gVCcSTI6OtrRUUGW1BkzZpSXl58/f76BHjZs2ODk5DRjxoz8fAUJDyCGg+EYCCF6gYJ0MCWMka5hoVe42BN1+iR4zEVMXOrK3DJRzl/qdFgfiKkVKWhcXRnD+Im7AGoQ2V9ork4tJ48FUssulemvS67d0qMkjeM9pEvIonAiue6ujwpFt3bHPzv/UI+qvjNMzKgjZwZsPB7ZK6wdgSC7ipf1vHjtzAuHf79TRW9CskMIRB4ymTikf9tLRyfFnZgcMaQ9kajgyTPtVdGc5VeCRx48eiaNzcFfAj8IBAKBiGlmbjYzcsT9s4dfXz//84yJri0Up8qurK45GHOpd+SMDiGj1u088KGoRGEzCAQCgRgOzfv1BNrIRQHRMrY9AwgU1ZdnZdLsCYVCJU+UNwip7OAurwFTbou8vL1NHSf7pUuXTpkyRbrm6tWrClvKeDkrf9E0K1gbyKddlP+gFSLfTOVg0SprkL+8eAy1rSV0aiDkcDhCodDd3T0gIEBhg0mTJlGp1D179jTQiamp6a+//lpVVTVhwgTDydYOkUd+WwHkvwaNEGaEdJOqwGpEB4WYGoEpiEaEDmsBoS74DFZ2F/2cqHqH9UPuOozQ3E1SRMsLhM/jtTGQClh16eQQ0le6piQhifEsXV96tIGbf5uwFaMoJlJ5jDHw7MKjB8duK/ksCFEGS1vaD4t6rTk82q+3m8yfMAx7fOvdiokxFw8+4bBkH6QgkKbSsZ39tnVhd2JnzZ4caGGuYKfex0+V6/66HTBoz+bdDz5/myYTAoFAIPiibeuWP8+Y+Ozy8Xsxh2ZGjjCtZ3nrbV7Bup0HPPsN7zV2+sGYS7UGFkcLAoFAIBKadWznNnUc1cZK30IgykI0NrIf2Md55FB1OpExxnC53PpayiDfUuXgwDIaMAxrIPSgljSI2b59u7S/U0FBQXa2gkhX5ubfuNuqc9EMzYIlb5xT8r/T4L9mCBq+P3SaPUIcp9jNTXYVUoK1tXVERERMTMy9e/d69+5dX7MJEybMnz8/NTV1586dCxcu1IpWCASiCcyJM0WiLwLsg7iIAW6VaJsVaR0ByE7oSoKYuhHcZqDv/5HUoO+2Ixbtv/Es1AgEIiXkJ+6JJQB8NUcJ7h8ntu2BmFlreCCVcAwfxKugM9JefS1jWMGJc1QbK1orV73q0iSOXs4j1o2P//1CLb0ugVlG4otaeu2AeaHS/oUQNWnhajl79YC8zNJz+x7nZZZK/4nPEyaeeZly7W3I2E4DRnUkkeHOD4haOLewWDa39/+md4u7nnX4dFpeAV2mQS2Ld/rS65jLb/oEuU0b5xfk31IfMiEQCASiAQgEQpCfT5Cfz7aVi6/dSTkRe+36vYciESrTDEXRR89fPXr+atGGv0L79pwYMWRw7x4KPc4hEAgEokesuna26tpZxOF+PylOvl8IFDKiiYzRFhbfJC8UiUQCgUCZiHFVVVUyNQpDCaqgAQDA5XKVCQ4pr8HJyUk1DRIla9asmTlzpqQmPz+/Xbt28s2ki8onupMRTKVSbW1tVVKqLRR+FsqcWFlZKVOj8mdhCBq+P3S6wEqlUo2NjeV/n9LMnDkzJiZm/fr1DRgIzczM3Nzc3r59u379+jlz5uAulzVEN0h8h1etWiXZvtGxY8c5c+YozIoB0QYIoFgQFzCEq1DwNVmgCJRXi3ZbEpcCoKKlgeAyBqtMx+iPv5ZFXDRzA7FLQ57HKg7k5EXy7i/M+Bq9E+Nz+MmHqcOWanwgVUCQlj+M5ZUzWB+/emSiAuH7fdHtls+jWDbTrzQNYuVsM3LjxPhNF+iF5ZLK/Kfv4n/nDv55+Df+hRC1ad3ebvnO4c/uvI89/Kz88zfZPWtruBcPPklJeBsxvatf79ZwBoWoCc2EMm6Ez9jhnW6nvD9yOi31eaFMAxTFklPyklPyfDq0mD7eb1A/TxIJrhRDIBAIXjE2oo4a3H/U4P6FJV9OXk44dflaTv5H+WYcLu9CYtKFxCRXR4eJw4dMGB7appWmtwBCIBCIHCiK7ty5U+IJJFlElo9HBwEAEI1h1q7/EB4eHjI1LBarWbPGF53kjTGuripuZzcEDRImTpz4yy+/VFRUiItfvnyRb+Pu7p6UlCQpspUOkCAj2NnZWexqZTgo/CyUOVHeGOTiouIznru7u6Y0qP99+G7QtQeGk5PT27dvGzD19+3bt0uXLrdv3z5+/PgPP/ygsA2GYeLfTGVl5d27dwcOHKhFxRDcUlZWJj6IiYmRrndwGJzjTwAAIABJREFUcGjA/KwpRCIRg8EQCoVUKs5sGDwer6amBmg2SCzpB2C6F4CvMYH5WGYZey+BPVp1G6HdDNPqLIKwWlzEmDns11vpVhNra1kIgmjwDor4RBi/ewy4X4PdibLuVjl6C1v6aap/MbW1tVwuVwXZlqPDuPtPiJhf5QlqmNl/77MZGUZ1VJzxReOIp2LJs5GW6Pm/AQ/2367Iq/NsK84sPPPzkfZDfFy6tiaotMGcwWAYGRnh8ZWPwWBwuVzlg1Q0FTfvZgv+Cn5+9+PNs5m11d8E7igrrt6/LinG+mHnni4B/d0smzchGj6cEnUPg8GoqqqqqKgwtJcKaTq3t9y1cUBuPuN8fHZCUi6PLxs6/uWbkrkr4izMqP16thod1s7DzaCDGolfOVBU1jnG8MHplIiiKIPB4PP5yr91GwgcDqeqqkosXt9amgZ+p0QWi8Vms3EnGwBQU1OjfOoag4LBYJBIJBnxJhTSrDHhs8aEZ7zNPZeQFHvzLr2qWv7cj8WfN+45vHHP4a7eXrMiI4b0DtKlQ2FVVRWCILh7YsHvlCgQCKqqqlAUVcYlxaDgcDi1tbWaff3UDfidEisrK/l8vsZfP2/duqUwOFlJCcyQCvmv0759e5makpISFYxzJiYm9vYqrlMp1KCMP6KMBjKZ7OzsrJoGCUZGRgMGDDhz5oy4qPCeKyNY+ZlERnCrVq1U0qhFPD09iUSidMa3z58/K3OivLG2gQCTDePu7m5kZCS9JqZ7Dd8fujYQdunSJSYmZuPGjevXr1fYAEGQVatWDR8+fMGCBd27d5c3CwMA4uPjS0u/rhRnZ2dDAyFEISRF3vREItHBwUEHXqdCoZBCoZDJZNx5uKIoKlau8AKqipeQP0pAOSspY5RUjFhD5U8HmLEq/VGaC1otoOauk8T/pNBvWAlrBRaTKRSKJt/QKFZot3GEOwfrKpJ2k3pNRTsM0NgQAJDJZPFlb7I6WxvHyWOL9h9H/03JKyinfzlwolkPf5sBfRA1MlErifg1XttfcgqF0n9R2KPDyYUvPkgqWfTapycevL35umNYl5b+7gihaU5tOP15AgAo/6LNMUCPIZ5+fdySL2Xdi8sRfGuzqaZz7l7OuXflXZtOdv7Bbh0CnMiUxhcX4JSoeygUColE0vCUqB3at7Vv39Z+7vSAc3GZ5+IyGZWyMViqmbzYhLexCW+9vewiBrcL6duaZmKIXyTdTInaAO8/T9wpFwqFJBIJj8rxOyUKBALxnUjfQpoMmUwmEAh4VE6hUIhEYn3K/bzb+3m3X7/oxzupaWfjbyXee8T/92lWmmcZWc8ystycHSdFhE4ZGWZhplbqICUR3z1xd83xOyUC3N6GxLMKLp61ZMD1lKjai3PDODg4EAgE+T1euDNaQyAaR94gVFxc7OXl1eiJMjYbPz8/lWO5ubm5GRsbSwfqLC4u7tq1a1M1dOrUSSOzR2BgoMRAKB/uEsgZCBkMBpvNNqknH7M0MoL9/f3VkKkVjI2N3dzccnNzJTVFRUXKnCjzr9nY2LRs2VI1DUQi0dPT89WrV5Ia1TSYmZm1bdtWNQ3fH7p+tRsyZEhMTMyGDRs+fvw4adIkKysrAICLi4t0UN3w8PBOnTq9evWqd+/e169f79ixo3QPz58/nzZtmqQob/6FNEBpaWlBQYFGurKyspL3LDYo7OzsamtrAQDr169v3rw5AIBMJvv4+HTu3FkHowuFQoFAYG5urkxcbIOCQqFgGGZubq7ppZ+hNWgZB70jKaPELL7J1maExSTEQZX+zPuhnDdo0UVJBbX6oYOwkuqymUAxb+C8JhMwnPvuAVr8b+ZhDCXcO0xhVVD6zwKai7RIJpNl8hgriXl7c/KUyLxDJyVpADAUrbyfys7McRk30qK9p6YUKkSc4Vk15U0ldMnIlGO339xIl66sKa1+eDg56/pL3+GBbXp4KW8mFDuy60a5ZuFwODQaTc3c2spgbg4if+o5aKxvXPTzB4k56LcZgzAMy3n5JeflF2MapWvf1t0GtPHo2NB+QDgl6h4Oh2Nqampubo6XRStzc/Nlc+0Xze4Tdz3jaEx6Zk65fJuMrNKMrNI/dj0I7uU+fkSn7l1bGlTAW7GjDB4nFpxOiSiK8ng8MzMzZd63DQoSiWRqampmZoa7a47fKZFAIBAIBNxdcAAAiqJCoRCPyvl8PolEalT5mLBBY8IGVVbXXEhMOhF77dHzV/Jt8j8Vr9154O8jpyaPHDp/6viWTi20I/krpqam4huoVkfROPidEvl8vkgkMjc3x529ikQiIQiCo2ctCfidEk1NTVV+cW6APn36PH369Pnz5+JiSUnJ2rVrAQAODiqtVEAg3xFGRkadO3dOS0uT1BQXFytzoszic2BgoMoaiERi165d79+/r0cN0kjPDAr9mnx9fSkUinSkkOLiYmWW0LUkWLMEBgZKGwhV/izUSf4VGBgobSBUTYO/vz8ePem1hK5f7UaNGrVw4UI6nX7ixIkTJ06IKwkEws8//7x582ZxEUGQ1atXjxgxoqSkxNfXd9KkSYMGDXJxcfn8+fO1a9dOnDgh/RsTG34gShITE7NgwQKNdBUREXHp0iWNdKUlJHNNZGSkwikbomPMCD+IsFI+liWpEWFfKkVrLYgLKIgquzYI7rOx2lysKkNSQ2ZlYenzgM9WQNVcIl8EoYQu4J1YgnHqsrIJ065gLAY1bDEg6f891tLX22n4kKLLCdKpwnn0ytzdh6z9fZ1Hh5NMaXqUpykQAtJrWn8za7PUmBQM/SYpemUx4/aehPS4p11HdW8d4AkMyWCAd5pZ035Y1Kv/yI6XDj59+ahAvgGHxb8fn30/PtvJzbrHYM/A/h6mFjgzAUIMCjKZOKB3697dnAuKuEdjnt9IzhF9+3sHAPD4woSktwlJbx3szIcN8pow0sephYKdmxAIBALBC5YW5jMjR8yMHJGd9+H8tVvHL8UXFMnG46qpZe2Kjtlz4tzgPkHzJo/r170rzCsPgUA0RZcuXbp06SI+zszMFBsIcWf6hUC0wdChQ6UNhJJsnQ0jY4zp06ePmhqkDYR60SBB4ltMpVK9vb3lG1hYWPTu3fvWrVuSmrdv3zZqIGQymXQ6XXqUoKAgTejVMOHh4RKDDlD6s/jw4YN0sW/fvmpq2L9/v5oaNPV9+D7QtYHQ2Nj4r7/+mjJlinQliqJbtmyZOHGixFkwIiJi3LhxZ86cEQqFR48ePXr0aH0dqvmV+q/h5uY2dOhQjXRlgJ7OEAMHAWRL4rIa9AQHrcvWi4LaStHvZoRJJoT+Te6RQCH6bBNlbcTK6hwTMdYH4bMoos8WxFRjVmGCtbPRlO28c7+h9Dq/dVF2CremnDpqNWKi/4Vp+4F9TN1cC05d4H4pk66nP31R9SbbKWKIbVCABv0d9UjnYQEt/dxfXH7y7kGWjJmQ8anixt9xVk42XUdDM6GGaeFq+b8NIUX5jIeJb1Nv5zKrFGRALMqnx+x5dGF/aqfuLXsM9mzf1ZnQxLivEIg0fj5Ofj5On0qqL1x9feHq65IvNfJtPpfW7ItOPXjiSY/AVqOHdhzQ24OiRMBbCAQCgRgs7Vq3+m3erF/nzIhPvr/z2Jl7T57LNEBR9FpyyrXkFB8vz7mTIyOHhlDx5nYGgUAgEAiOGDZs2OrVqyVFia9tA4hEovfv30uKVlZW/fs3fcVPivDw8CVLljRJA4ZhOTk5kqKpqengwYPV0SDhy5cv4oO+ffvWF9spPDxc2kD4/PnzRlfjpdUCAPr3729paameUq0QEhJCpVJ5PJ64qMxnAb797xAEGTVqlDoa+vXrZ2pqKo4aCABIT0/HMKzRfWMyV3j06NHqaPjO0ENwmMmTJz9+/Fja0itGJs/w3r17U1NTZay7MoSFhbVr107zEr9fhg4dqikDIQSiEkRzwhQScGCipwCQRCwUMdFjIvDZjDABgCbu0SOQie1/QynN0KLYuko+XfR8LrHjWsRKY2ZspJk9ddJfvIvr0U9vJJVo8Vvu8UVGY9YhVo2nR9Y2pu6t2q9cVHr7fvHVm5hQKKkXsTkfT11kPE13nTDKyE5zjpX6w9LROnjOEN9hAS+uPHmXkoVh35oJiypu/B1n7WLrN7IbNBNqFic3q7Fzuo/+sdvb9JL78VnpDwtEQtlEHUIh+vx+/vP7+RbWJn693XoOaefkZqUXtZDvA+cWFgujesyfGfQio/hSQublhEwOVzZJlQjF7j3Kv/co39yMGjqg3fgRPh3a2ulFLQQCgUA0ApFIGDagz7ABfTKy3+09deHUlQQ2R3Zz0susnOnL1v6yZdeUUUN/mjTWyR4GFoJAIBAIRPN06tSpXbt2EietFy9eNGqMycrKkhhvAAAjRoxQM6NnmzZtfH19X7x4IS6+evVKnNK7gVPy8/OlHfLCw8M1FYL7yZMn4oOZM2fW12bEiBGLFy+WREBUxor27Nkz6WJkZKQaGrWImZlZaGioJKbg58+fS0pKWrRoKPw7l8t9/fq1pNitWzcXFxd1NBgZGQ0fPvzkyZPiYlVVVV5eXsOxA4VCYXp6XcYiHx8fT0/tpmTCF/rxl//nn39Wr14tHenVw8MjICBAuo2FhcXly5elcxPK4OrqeuDAAS2qhOAcyXaGyZMnDxgwYMCAAaGhoStXrpROrgvRCyaEEEvizwgwlq5kozcqRX9igN3k7hACoc0CgsdcgEhNaCK2KGMFVppU/2lNH8fYzGjcRqJXb+lKrPIz9/hitChTgwOpDEIk2g/s6/XLfFM3V5k/MXPzszb+XRJ/E/tevv+WTtbBc4aM3TqldaACKyC9sPzG33HnlkXnpeYoOhuiOgQC4tXFcfbqAVvOTIic070++181nX370ps1M86vn33pfnw2ly1r1IFAlIdAQPx8nDatCHlyfc6mFSF+nZwUNqth8s5cejl04rGBYw7vi06trOIobAaBQCAQvODdrs3eDSvy7l3dtGSus4OCzR9ldMaW/dFt+g6LnLs8NT1DvgEEAoE0ilAoXLZs2YB/kSz6c7kK4qZAIP9BpL33KisrpQ0tCpG2dSEIMnfuXPU1LF26VHLM4XBSU1OV1wAAmDdvnvoaAABcLvfatWsAgK5duw4fPry+Zi1atJgwYYKk+ODBA+l0aQp5+vSp5Nje3n7MmDFqi9UW0t8HAEBycnLD7dPT0wWCuhUhjXwWS5YskbZSN6ohMzOTxWJpVsP3BCLje6FLCgoKzp07V1hY6OrqOn36dCsrBYuM+fn5U6ZMSUlJka5EEEQcbdbODu4QN1xevnzZuXNn8fHYsWNjYmJ0LMDY2Fjh89ypU6eCg4O1PbpQKKysrDQzMzMywlk6Li6Xy2QyLS0tG96MowGIn4HZEUBkfFMpcgA10wCqkstR+T2r8gMIJm2HQDjNR7FtNes2jlHT4yjpl7+pIpB4vWYI3ALqO6dhmEwmj8ezsbHRhDyxIKz2RUb1zfvov2ZyCRT75pbhAykt7DUyTn5+PgDAzc1NI72pTHVJZfb1jOJXH4GiG5pVS9u2Azs6dPjGolBRUUGlUs3MzHQkUXOUl5ebmJjQaAaUV7LkQ9XT2wUZj4p4HGF9bcgUYkuvZv793dr5OuIr2K3upkRNU15eXlpa6uXlhbvsKUwmk8/nW1tbN9DmQ2FVwu28q7dyq6rrXbghkwk9A1yG9Gsd6OdIIuriIlRWVgIADDMUTMPgdEpEUZROp9NoNE1tB9YZbDY7Pz/f1dUVd9ccv1Mii8Vis9kN7D01WKqrq4VCYcNTomFCp9NJJJKFhcZC8QuEwhspqQfPXk57XW+mmY6e7tNHh0cM7EMiqh5xOisry9LS0sHBQeUe9AJ+p0Q+n19dXW1hYUHBW7RYNpvNYrGsra1x96yF3ymxsLCQx+M1msqrqSQkJEybNk2+3sTERHpBGdcsW7Zsy5YtAIDNmzdLG1ogEGUQCATu7u6FhYXi4q+//rphw4YG2o8dO/bcuXPi46FDh8bFxamvQSQStWvXLjc3V1xcuHDhtm3bGmg/derUY8eOiY/79et3+/Zt9TUAALZs2bJs2TIEQe7fv9+jR48GWubk5Hh5eaHo16hL169fDwkJqa8xhmGurq6fPn0SFw3/d9q3b9+7d++KjyMiIiQOhQpZu3btmjVrxMetW7fOyckhqvGcJiE0NDQhIUF8HBIScv369QYab926VXJJnZyc8vLymvrUMWzYMOlvcnV1tbm5eRMlNwErKyvx8gKDwdDBCoM+DYTK8+zZs+Tk5E+fPpFIJDc3t4EDB7Zt21bfoiCNoHcDoYWFRU2NbMoiY2Pjhw8favyBUh5oIFQGDKnlkfeLCLnSlQhmShVEEdEmf0ZsNltYkWZbvgsRfeOGKLIbKnCZ9Y1/odogmbeRu4cAKu2Nh2D+o7AAVYyRNTU1fD5fkwZCAAAAwhpm6eVEptwaCkIgNOvetfngfojaL+F5eXkAgNatW6vZj0ao+FCWEZdWlPFR4V9tW9v7DO/q4PXVTFhRUUGhULR6O9cS5eXlxsbG9UW61yMCvijzWfHjG7nvXn1p4MnCtoVZl94t/YPdrJob3L+gEPyuhpeXl3/+/LlDhw64W7SqqakRCATKrIYLBKJHzz7F3cy5nZIvEskGvJVgZ2sa2r/NqKHtnVto9yePawMhHqdE/K6Gs9ns9+/ft2zZEnfXHL9TYm1tLYfDweNqODQQyvMyK2ff6YsXrycLhIp3JtnbWk8ZOXTWuBFWFqr8xN68eWNtbQ0NhDoDGgh1D36nxI8fP/J4vDZt2mi226ysrF69evHkNtdaWVlJhyjENdBACFGTAwcOREVFiY/btm0riTgqD5PJdHR0ZDKZAAAKhfL8+fMOHTo00PPHjx/v3r1Lo9EGDBjQ8GPDyZMnJ02aJD5u2bJlXl5efdMvl8t1dHRkMBgAACKRmJqa6ufnV1+3KIoqOY2/fPmyR48eLBZrwYIFf//9d6PtJ02aJAmDOXPmzAbiIKakpPTq1Ut83KpVqzdv3jRwN3/y5EliYiKdTvf39x87dqxe7p4pKSm9e/cWG5VMTExKS0vrW6TCMKxDhw5ZWVniYmxsbAOelwCAioqK27dvCwSCfv36NRy5NC0tLSAgQGyCpVAonz9/Vuh7Jsbf31/iVHry5Elp/04lCQkJuXnzprROrT6fQwMh5DtB7wZCd3d3sfUiOjpaMqd4eHi4uspGX9QGQqGQTqdbWFjg0UBYXV1tbW2tm6UfDAhqRIe52APpSgSQzIkzjJCGNuPIw2azmUymjUkt9no54JZ906FtT2L7VYBA1YDifxHlP+fHbsL434SwI/kMpoT8BAhN2wtTU1PD5XKbN9dK6pSqjKzCmEv8ymqZeqqNleu4EeZeagXdFu/e0oHFXXm+vCt5EZta8CJP4V8dPB39x/Rw/D975x3QRPLF8dlNCBA6CIKANEE6CqigiA0bFhSxn2LvnqdnP7t36p1dzop3ihVFURThVLw7kKqi0otIFSmhhvSy+/sj94shBKQESHA+f+3Ozs48Y3jZnTfv++z7VlZWKikpyd3KLACgoqJCRUVFBgOEQmoqaUkv8qIfZ1aVNzTXB0EQG+c+bmOtXEeYkxRlepW5i12iFKmoqCgrK3N0dJS7Rat27JmooNAeRKQHP0wtKqltoZuDjf7c6U4+E+3Iyh2qgdEcglfQFl5LZBY5dYkYhlEoFDU1NblbDWcwGLm5uebm5nL3mcuvS6TRaHQ6XR7lZ+rq6ng8ntS3kXUBVVVVRCJRU1Ozk8Yvq6wKDA49d/1uVW2dxA6KJNJMb68tK/ztrNq2lS01NVVHR8fQsPtLjLcJ+XWJHA6ntrZWS0tLHgOEDQ0Nurq6cvesJb8usaCggM1md0bCQEFBgWD5CABQWFgoUBm1tbXNyJCJYiIdBwYIIR0EwzAPD4+EhATB6ZMnT7y9vSX2PHXq1MaNGwXHO3fu/OWXX1oY9u7du4sWLWIymQAAY2PjyMhIOzu75jrjOO7l5SUUkwwJCfHz85PY8+LFi6tWrRIcb9iw4dSpUxK70en0BQsWhIeH6+joLFu2bOfOncrKyhJ7AgAyMjImTpxYUlLi7e396NGj1uTAVVRU2NjYCMI8ZDI5Pz+/Occ7Y8YMYRJeZGTkhAkTmhvzwIED+/fvFyYmOjo6RkREdMtDy5IlS65cuSI4Pnr06ObNmyV2e/r0qfCfM23atAcPHrQwZmJi4tSpUykUCgBAQ0Pjzp07LaRdAgDWr1//+++/C47379+/Z88eid1iY2OHDx8uOB43btzTp09bGLM5RJMmAQClpaUtxy87CAwQ9nz4fH58fLyjo6O0NlTW1NQUFRUhCGJmZtYZmzTbR7cHCC0tLfPy8gAAHz58aLlUaWcAA4RtgoE9bcBugMYCkWR0vBr6HWhaX665QYRvaNwafso2nJYnehVRtyU4HQYK0lykwMpy2SH7cHqjVQmCpZuizzag0IZgZKcGCAEAfCaz9PGzyn/jQBOHr+XsaDLXl6jaTr1KGQwQCijLKX19N+5TuuRsQoP+hlbj7Y0d5C91A8hDgFAAjuNZbz8nPMtNjsnnsJuVHiWrKbqOMB8xxdbEUkaXPuV3NfybChAKScsqv/0gJeyvTAaj2RoPqiqKY0f0mzHZfthg0/ZbKQkYIOxi5Hc1HAYIux75XQ2HAcKWYXM4d588P375enpOXnN9hro4fb9o7vRxowmtk5uGAcIuBgYIux75dYmdFyAUJSMjQ5DwZGdnl56e3qlzdRkwQAjpOPn5+S4uLnV1dQCAQYMGxcfHN30g/Pz5s729vSCwMXr06L/++ktBodmtmfX19X379hXVfhs6dGhcXFwLNnz69MnZ2VkQQHJwcHj9+rWiovjiG4VCsbe3r6ysFAz44sWL5hZmDx8+vHPnTuGpubn56dOnJ0+eLNYNw7CgoKAffviBSqWOGzfu3r17rS8TEBYWNn36dEHwZf369WfOnGna5+nTpxMnThT0aTmkmpSU5O7uLhbKcXR0TEpK6vrFZyqVOmjQoNzcXACAvr6+QKFdrA+LxXJ2dhbkm1paWiYmJrb8smxjY5OdnS081dPTKykpaeHxgMFguLm5paWlAQC0tbWzs7ObJsdzOBw3NzdB4UwTE5OkpKT2/fzZ2tqKJs6+e/duwIAB7RinlXRxgFDOnmPkHQzDQkJC7O3tPT09O74RicvlBgYGurq69urVy9nZeeDAgZqampaWlsePHxd8hyAQeYGMjtckfI+ARk6fgT2t45/BwVcK+UpAsRfB+TSi2chT49RM/pvVOLO0g6aKghpYKfmfRHWMRRv5HxJZN7eJRQ27F4Kyct9ZPtabVivpi8cga9+mpu39lRKb2DR2KNcY9DecunvW9P1zDe36Nr1allMafeZp1InwyryyrrftGwFBEFsXw6U7Rh0LWbBwk2fffpK1FxgN7JjwrIMr7+9ZfDfy9nta8/XkIJDW4GCjf2jn+KTINcf3Txo22FRiwUsanf0gIuO7NXe8/C5fCEqsqukhpWUgEAjkG0SRRFowfdL7J8HRwZf9JnpJDAHGJ6fMWb/dbtyM3y4G1VGblTeAQCAQCATSAubm5iEhIYJA1OvXr7///nuxDiUlJRMnThSsSLu4uISEhLQQHQQApKWliVWGSkpKair2K4qRkVFoaKhgK0xaWtrKlSvFomVlZWWTJk0SRAcdHBwePHjQQuSMwWhUnyg/P3/KlCnu7u5nz55NTExMT0+Pioo6ePCgo6PjkiVLqFTqhg0bnjx50qYi4j4+PsKA3++//37r1i2xDrGxsXPmzBH8KxYtWnTw4MEWRouOjm6a6JWamtqCeGnnoa6uHhYWJkh1KC8vnzVrFpfLFe1QX1/v5+cnCKoZGxuHh4e3HB2srq4WjQ4CACorK8VaxCCTyQ8fPhRs6qqpqfH19RX7/jQ0NMydO1cQHTQwMAgPD29fdLC8vFyQgyQkJiamHePILDIUIMQwrLy8PCsrKz4+PikpqambkGu4XO61a9esra1nzZrV8pe7lbx9+9bZ2XnFihXJyclqamoTJ04cP368kZFRXl7e5s2b7ezshDnX3yws1n8Lzf7+/mP/z5YtW3jNFKuAdC+KyCBtwj4CaBRFYOOva/j7+KDtuv9EVcKAY0jvMaJtOPMzP3kd3pDTQVNFQTR6Ky48TujrKNqIleWyrm3CqkukOFHHUe1nZrtzY59JYxFiIyUEPoNZdPN+zqmLrMqq7rKtkzCwNvLZM3v6/rl9bI2bXi3PKr33041HP9+tzC/vetu+HciqJM/JNjvPTdtwdMzYmfaqGpKfzj8X1d4PTNo868aF/c9TEoqw5uvJQSBfRVVF0XeS/Y1zs6PuLV/l79ZLW3KS9MfC6l8Dot0mnP1uzZ2IqGweD37rIBAIRF4Z5jogOOBI5vPQrSv9NdUlrNzlFZXsPBpg7jl548FjhZ8+d72FEAhEZuFyuRs3bhSuGgn0RQEAAtlDCAQixMvL69GjRwJ5gPPnz48dOzYmJoZKpX7+/PnYsWN2dnapqakAgJkzZ0ZHR39VWKVpspeWllbTjEAxPDw8IiMjBeIKQUFBI0eO/Oeff+rr68vLy0+fPm1jYyMoNTdlypTY2NiWlboWL17cVJwpMTFx3bp17u7uDg4OY8eO3bNnT0ZGhp2d3YsXL06dOtUOFY0dO3YcPXqUQCDgOL5gwYI1a9a8f/+eyWRmZ2evWbNmxIgRdXV1RCLx4MGDf/75Z8sp6c2JBNy9e7etVkkFa2vrFy9emJmZAQCioqJcXV3Dw8OrqqpqamquXr1qY2Pz5MkTAIC7u3tSUtJXy8dKFOHT19dv+S5zc/O///5bMHhsbOzAgQPDwsIqKyvr6upu3rxpZ2cn0G51cXFJSkpquRxmU7hcbllZ2cOHD8eOHSsW/tyxY8dvv/2WlZVFp/eEDcfdLzFaVlZ25cr650xVAAAgAElEQVSV6OjopKSk+nrxKllGRkYjRozw9fWdNGnSV32EbMLhcIKDgw8cOCAUNBcQFxc3dOjQ9o157949f39/wU6HdevWHTlyREVFBfw/63n9+vV0Oh1F0ZMnTzbd0NFldLvEqJKSksSNJzdu3PDy8urs2Xk8Xm1trZqamjxKjDY0NGhpaXWPeBRaD9SuAGLj0BqmDhqWAJ6EGI8okqrE42TKPeXKENFuOKpIM97EUR0oRasRjK8U+ycxL77RRCQyy+t7nv7Xi/w1NDSw2ewuE4/iVlBqHj/nNFkZQYhEjVFDVd1dkVaL5OTn5wMAzM3NpWxiJ1CZU5b++G1tseRgs15/AwcfF00jORAGpFAoZDJZ4PPlCKFLVCCSspLL38YUf0ipbCEKqKGt7ORhNGi0qXbvbv6XdrNL7AAUCqWiosLW1lbuZK8aGho4HI4UK37zMfxtatmDyNyYxOIWooA6WspjhptOHWfVz6ydCh6C3bJdIAAidaqqqhQVFdu0GVYWwDCsurpaRUVF7vT0GAxGfn6+iYmJ3H3m8usS6XQ6g8Foug4l+9TX1/N4PCm6xC6jurqaSCR2S/0LGoP58Pm/gXce5hV9ktgBRdHR7q7LZvp4uDohTZLNBRpZBgYGnW+pNJFfl8jhcOrr6zU0NORRYrTJ66d8IL8usbi4mM1mS73CxZMnT5YuXdq0nUwm94yVXwAlRiFSJT8/f8OGDeHh4U0v2draHjp0yMfHp5VDTZs2LSwsTHh65MiRbdu2tebGkpKSDRs2PHz4sGlcw9LS8pdffpk5c2Zrxnn58uX8+fNLSprd3+/m5rZq1ar58+d38Ok3Ojp63bp1ElWLx44de+zYMUdHx6aXxCguLrazs6PRaGLt6urqTUMqXUZNTc22bduuXLnC5/PFLhkaGu7atWvFihWt/KHcsmXLsWPHhKf+/v5Xr15tzY319fU7d+68dOlS06QgfX39HTt2rF27tjVlI0WZN2/e7du3W9NTR0enqkrKGRffUA3CioqKzZs33717l8P5uoRgnz59tm7dunbtWjl6HaXT6ZcvXz569GhpqQRVw3YHCB8+fDhjxgxBPdJNmzYdP35crENkZOSkSZNwHEcQ5MqVK/7+/u2YpeMkJye7uroKjv38/EJCQlruL3U0NDSaJqGSyeT4+HgLi7ZVqm8HMEDYbnDA5Shc5xFeiTYiQIHE/Y7IH9LCjc29oREqHikUBwJcZFEYIXBN1/B1m6362z7DkaR7yKvG33MCERuzGvQf3vKdHSm41U5wvO7V28rHzzC2uPtV6qPf22+KsnGrau0K9j10wR+UtCjL/PT2fmJ1IUXCNQQYOZgMmD5Yu69Ml/mhUCjKysqyX4NQjKYusa6akfxvYcKzvKqylsS+jPvpDB3fz2WkGUmxbQ9z0qLbXWK7oVAoZWVl9vb2crdoRaVSuVxuZ6yG1zewn/+bFxyWnpPX0uO7XX89v8m23l5WZOWWJHGaItcBQhKJJHf18OR3NZzBYOTl5Zmayl8pXPl1iTQajclkyuNqOAwQthsMw2JevTt/696zl4nNLXo49O+3dJbP7EnjlJW+7EVOT0/X0dGBAcIuAwYIux75dYlFRUVsNvuraShtJTs729PTs2m+oLa2dnV129WMZBIYIIRInbS0tPv3779586aqqkpDQ8PW1nbSpEljxoxpuvOmBWg02p49e548eaKqqrp48eK1a9e26fasrKy7d+++efOGQqGoq6tbW1t7e3uPGzeuTW6ZyWSGh4dHR0fn5+cLXug0NDQsLCwGDhw4bty4vn0llK1pHziOR0VFRUREZGRk1NXV9e7de9CgQdOnT3dwcGj9IAkJCXv37v3w4cPAgQOXLFly7969oKAgAoHQ7Wp5xcXFwcHBCQkJFRUVSkpKVlZW48aNmzx5cpt+3Hk83rFjx4KDgzkczvTp03fv3t2mRfXS0tLg4OD4+Pjy8nIFBQUrKysvLy8fH5/2pZxVVFS0co8IiqKmpqbtmKIFvpUAYURExOLFiwWiwK3Hycnpzp07/ft/PSOn26HT6ZaWlubm5mPHjtXS0rp06ZJY0cH2BQjfv38/bNgwQe7gwIEDExMTJf6lLV++/PLlywAAIpH47NmzUaNGtfff0X7i4uI8PDwExz4+Pg8fPuxiAywtLQUCwUFBQX36/BftsLGx6ZqC8zwer7q6WmJ+tIzDYrHq6+t1dHS6dekHp2PhNOwuAKIOClFBJ6uiswCQ/LjQQpV4nPKSn3EQYKIZpQhq5o+aLZau3bzU55zIAICJ/jAjCh7zFIbPb+EuKpXKYrFalj7oDLj11OLgB7XvxXcwISiqO2Kokc8E9Gs/oh8+fAAASH0LZ+eCg8K3HxNuR9eWSHjZQxDEfIjV4FkeWoYymk1YUVGhoqIijwHC5lxiUS4lOjwr6UUem8mVeC8AQJlMGjDM1H2clY2zYVveF6SAbLjE9lBRUVFWVubo6Ch3i1ZdsGciLas89En6w4iMOmqzZS8VScQxnv3m+ToNHSS5lmFTampqAABf1dKRQSorK5WUlOQuWIVhGIVCUVNTk7vVcAaDkZuba25uLnefufy6RBqNRqfT21d0pHupq6vj8Xhduo1MSlRVVRGJRIEKWfeSmpV7/ua9m2ERDKZkn6+no73Ib8qaBbON9PUAAKmpqTo6Ol3zzihF5Nclcjic2tpaLS0teQwQNvf6KePIr0ssKChgs9nW1tZSH7mkpCQn579aJIWFhQKVUTs7O4npPvIIDBBCID2Sq1evLl68uHfv3uXlsHROj6KLA4Td82r34MGDWbNmtSO4nZKSMnjw4LCwsJEjR3aCXdJERUXl9evXwveK2bNnm5qaCqvitQ8ul7to0SJhDdX9+/c39wy9a9euq1ev8ng8Ho+3cOHCtLS0rn83E81urqur6+LZRRk6dGi/fv260QBI20FU0CkERI/Kv4gDYYobTsce8/FKdcJKBLTt7RHRHU5wPsVP2Q64wq8ljhVcBawK1HozQKTmCYmOYxH1XpzQQzhbuM0E58bexKkU0sR1AJWt1TQFDXWLlf51qZnFt0M5dV/+YHEMq/wntj4ty2Ser7qNlLdndj8IMHWxIBupVeVWpIe/rSpstE8Fx/GPiTn5SbnmQ6yGzBmuaSB/mUByh4mV7sJNujNXub2LLUx8npv1trTpziUmg5PwPDfhea5+X81h4/sPm9BfXUu5O4yF9BAcbPQdbPS3fz/yRUzerdCU+NeFTb91bA4vIio7IirbtK+WzwTbmVMcDQ3kLJYDgUAgEACAo43V+Z93Hti0+krIo/M37paUVYh1qKyu+e1i0Kk/b031GvHDknnk7tEsgEAg3YmxsbGx8X81TcQ290MgEIjMIhBHHTx4cHcbApFvumG1OjExcc6cOc1FB8lksrm5uYaGhrKyMovFolKpJSUlgpCpACqVOmnSpBcvXri5uXWVye1EdNdh7969Bw8eHBMT05EBT506lZKSIjju16/f5MmTm+tpYmIybty4iIgIAMCnT5/2799/8uTJjkzdDl6+fCk8Tk1NFciGdKUBQu3jS5cuCWV5BBniXWkGpN0oIUMIBJ06/kkMfIldsfAkPr9Kk7AJBW37OiHqtgTnAH7KFsD6siiAlUXi7CqCwwFAkNpOW4LpQMUFR9l39+LULzqWvNRneAOFNP0nRFHmtvRqOtqqWZp9Co2gxCUBkTVydlV17plALWdHk7m+RFU5q3j3dRBg5GRi42Gfn5SbdCe27nON6EXRMKHbnOEaMEzY+SiTSUPHWQ0dZ1VeUhf3V07809z6GkbTbuXFdfcDkx788cp6YB/PybYDh5kSiHK2ZRsiOyiSiN5e1t5e1mUV1LC/Mm/ef//ps4TKDYXFtacvxQVcjnd3NfGdZOftZa2kKFu7PSAQCATyVXS1tbau9P9hybxHUdGnr9xKeJsq1oHD5d6LjLoXGWVjYbp89rQ1/nOJbaxVA4FA5JfIyMjU1P/cQkXFfysGTetpQSAQiEwhWPlvZcFFCKQ5ulpilMPhuLi4NE3SNzMzW7p06dSpU21sbJpK1hQWFsbHx9+4cePZs2eCX2hDQ8Pk5GT5kkSYP3/+rVu3hKdtlRhlMBimpqYUyn8hhy1btgj0AZpDkGUsOFZQUMjNzZW6Hm5T6urqYmJiqqurY2Jirl27JiiUKMDa2nrBggX9+vWztbW1t7fvbEsAACoqKsJsS1GePXvm4uLS2bMLCm6pq6u3T+m4G2Gz2VQqVYaqy6D1POVLOKFxxWBMg8hcgfCNRduYTCaNRmu5CATKq1P+eJDAzBdt5JP7Mc13YURpBrARRi0p8jhSVSjaiGsbcyZuxlXFq8g0NDSw2exuF49iFZZQHkZyKeLCmwSysta4EeqDBja9JT8/HwBgbm7eFfZJlaqqKkVFRTU1NQAAjuOf3hWmhr1pqBSvWgoAQAloX1dzu0kD1XRlInmIQqGQyWQVFTkL2bbVJWIY/jGdkvT8Y8brz3we1lw3sirJwd3IfbxFH9POypKXOZfYaigUSkVFha2trdzJXjU0NHC53K4X6sQw/E3K58fPcl+8LGBzml0PUldT9PI0nzHJ2rqfuNMW6CXIgp5eWxF1iXKEoOCWqqqqsrKcpRQzmcyPHz+amJjI3Wcuvy6RTqczGAx5LLhFpVJ5PJ48ahfX1NQQiUSZ1dFNzf5w8Xbow+fR3GY2Lvfupb1w+qSls3y0NWT0nyCG/LpELpdbV1enqampoNC20r/dTmteP2UT+XWJRUVFHA5H6hUu4uPjp0yZ0rRdXV1dVBlLroESoxBIz+Off/4ZPXq0paVlZmam3D2cQ1qmh0uMhoSEiEUHFRUV9+3bt3nz5ha+yqampqampvPmzUtPT1+1alVcXFxpaenChQufPn3a+SZLjQ7Wlr98+bIwOggA8Pb2brn/6NGjhcdcLjcgIOD48eMdMaA1VFVVPXnyBABAIpGWLVsmdrWoqKioqIhGo3VNgLA52Gy2aOSyk8BxHPs/nT2XdBHYLLC/u20BAACAqaG0dRj5Bq6Q9qURreeRT6OMBQj3Sy3f1nzgGKpOszhILjqm0PBO2Ehg5JFzt9LMdmGK0qs1oqTBmryT9OJ3QsmX7clITQnpwT72hB8xnUZVjoXfFqnN3i5IfQ37rFlUH5NY/zIR531ZHOczmFUP/6Jn5OpMHUfUbBRGFdjc7Za3A7EvueEAkz5OfUvfF6WGJdMojcKEGB8rTMorfpPf19XcznuASq9uXsyVU8fSDpdoYd/Lwr4Xg8ZJTyxNePaxrFDCyzmDxkl6np/0PN/QXMvZs+9Az75kVSlXr5E5l9hq5PSrArrVJbo6Gbg6GWxe7R4Vkx8akZ2dJ6FSKbWBHfokK/RJlrmJlvcYi2kTrDXU/wt79xiXKC9gInS3LW1D3h2L/Foud2YDaHmnYW9lEbB3y661S68/jPgz5FFNvfgusYqqmqOB109fDfbx8lz73UxrC9PuMLMNyLtLlGvLu9uQNiO/luM43hm/QWw2u7nppDsRBAKBSIva2trly5cTicSgoCAYHYR0kK7OIJw0aZIg+1WAqqpqeHj4iBEjWj8ChmHr1q07f/48ACAyMnLChAnSt7Jz+PHHH0+cOCE8bWsGoaOjY1rafwESBEHq6uq+uh/T3Ny8oKBAcKylpVVeXi53db87gpmZWWFhIQBgxYoVwmC7s7PzrFmzumB2Ho9XXV2toaGhpKTUBdNJERaLVV9fr6OjI2M/MDgNe0DHQhs3IirodFXUV3DShirxOB/LOYF9Dm/UqKBOcDyEaDg0c0+7wPicZ+d57yIaNZKUFaftIFi4ChuoVCqLxdLT05Pm1B2AWVpWePMevaBYrB0lKfSZNLa31wjk/5/whw8fAABS38LZBVRWViopKTX1ohgf+xCX9eZefH2FhMqpKJFgPdJ+0IyhKtqqXWKmBCoqKlRUVFRVu82A9tFxl1iUS4l/lpsUlUejNlvNV4FEcHI38Zxsa+NsiCDttbUxsuoSv05FRUVZWZmjo6Pc7WqnUqkcDqfbk6oBALn5VQ+eZNwJS6mtYzbXh0QieHla+nrbjfSwqK+rBQDIY6JPcy5RxsEwjEKhqKmpkckyJ9/dMgwGIzc319zcXO4+c/l1iTQajU6ny5f8jIC6ujoejycLLrGtVFVVEYlEuUiqZnM4d588P375enpOXnN9hro4fb9o7vRxowkEGf1VlV+XyOFwamtrtbS05G6xog2vnzKG/LrEgoICNpttbW0t9ZFv374tLOhTVVX1xx9/AAD69++fnZ0t9bm6BZhBCIH0JKqrq6dOnZqUlHTt2rV58+Z1tzkQ6dPDMwiTk5OFxwiCBAcHtyk6CABAUfTcuXM0Gu369et79uyRowBhR55309LShNFBAICFhUVrFhQcHR2FAcLa2trnz59PmjSp3TbIHcKViy1btvTr1697jYF0GEQV9SUiBlT+JRxw/9+I07FQPl6mTliBgLYo0iAE1HozUOyFFVz90sil8t9vJtjtRXq1IXL/FVACacI6VMeYE3UJgP/vxuAw2ff2k8avIQ6YKLWJpIqyoYHNlnWUuKRP98P5rC+7KTEO99ODiJo3Kabf+ZH7GnWjhZ0HSkD7e9pZDrPJ/iftTWgCrbpB9CrG42dGpWT/m2490n6w3zCylpzpfMo1Jla6Jla6fivcUhKKYsIzs96WNt3gxOXw30Tnv4nO19ZTHTKm34jJtr0M5Ey+DyJTWJn32rZ+xMaVHlExH+4/SY+OL+DzxXesczj8iKjsiKhsfT21CaMspnv3l8cAIQQCgXzLKJJIC6ZPWjB9Utyb9wFBwaFPX2CY+ENGfHJKfHJKPxPjJbOmrZjrq6kOHzAgkB7F3Llz586dKzjOyMgQBAjlbjcMBAL5FoiIiFi7di2dTn/8+PHEiTK6rgiRL7r0147D4VRWVgpPZ86c2e541fnz5589e/b69ev8/Hx5KX/VkQBhaGijxKlWhrtsbW3DwsKEpxEREd9UgJDF+i/LxN/fv7l9lHp6eidOnJDHrXPfJkqIO4HQq45/EgNfVIBYeAKfX6VJ2NhGh4agZouBUm8s+xjA/y+nyWfx035CrTaghtOkaDZxkA+iqs0OPw54nP+aMD4nMgCvLVcYtQgAKSU6SRcE0fVw07C3KQ5+WJfSSBeaUVKa9WuA7oihRj499kEEJaC2Xk7WI+2z/01/fS+eXksTvSoIE+a+zLQd7eA8zY2sCcOEXYcCieA6wtx1hHkthZ4Y9SEmPItSJqFyZE0lLfL2+7+CUyzseg8dZ+U21pKkCF/vIe2ERCJ4e1l7e1mXVzY8jMwIfpBS9ElChnF5ZcPVO++vhaQ4Oxj6TrLzmWhHVpazWkoQCATyjTPMdcAw1wFPnkX9FfvqdvjzOmqDWIe8opKdRwOOnP/Tf8aUDYvnmRr16RY7IRBIBykrK9u0aVNVVZXEq3Q6XXDAZDarIQGBQCBdz7///rt9+/Z3794tX7589+7dcDUbIi26dL2MQCAgyBdR0+XLl7d7KBUVlUWLFv3666+PHz/esGGDlAzsXJAO6J3FxcWJnhobG7fmLrE4YkxMTLsNkEeEJRvj4+Nb6KakpLR+/Xqpz87n8+vr61VVVeVOKYXD4dBoNA0NDQKB0N22SIagMFvb9AFR8cvTPBf/UM7cUZbrXV+jrKWl1Za/tT7qqkuMaEEo/v/QHY5hOScphcllKr5SDd2pKTsvNHx3A+V+UUfkJoZUl+RV2PvSmCw2my2jSSduTgQ9LX7sa8D8YjmOYZX/xFKSU6ptzNg6msI3KDmipqZGUVFRReVrsb1ewHH5kMrUz8WxH7k0jugVHpubGvk2IypFz6mP4VAzkopiJ5orQk1NjbKysrKyctdMJy06wyUa2IBZ1tZlBbSc5KqcN1U8rnhqF47jeenleenlwefiLAfq9Hfp1ce8zfv9Zd8lNkdNTU1VVRWO4x15/OgW6HQ6l8uVTVU6NyelwQ6Dcz7W/ZtYFpP4mcXmi3XAMPxNyqc3KZ9+PvnCY7DBSDcDG8tO1wPpOK11iTIGjuO1tbVkMlke5dyLi4vpdLrcfeby6xKZTCaTySwrK+tuQ9oMjUbj8Xiy6RJbpq6ujkgkyp0oOgCAUV87dfigORNHP41NuhX+vLC0XKwDlUYPCAo+e/3uMGeHud5egx1tusVOMeTXJfJ4PCqVqq6uLnfZWiwWi8FgtPH1UyaQX5dYWlrK5XKFe8HbzYkTJ4KDg7/arbxc/M8fAoFAupGMjIyJEyeGhIS0Mi4AgbSSrg4QWltbZ2ZmCk4dHR07MprgdlHhzZ4Kn89PSkoSbWmlIxDbSpCZmclkMuVuWbndKCkpNVdrWgiCIG5ubp2x54LH4ykoKKipqcndGxqLxVJSUtLS0pLhN7TeoOEHHNxCFDOFTQSFekPb+6qlk1VJ/dtYBKJ3PdNE49NRlFcvbNJhx6go4Q0GKwEivQ+hd296HxOVqFMorVrYpl76TgVjlbsuZOHqsltdpndvfKBjfdRL+rs0IKLqiFMbtJNS+X376NraoWQ5cywEAkFRUVFNrVXhIv0+BnajnQoT8nJfZLCojbaR8rn8sjcllLRyMw+r/l52CsqdviEARVEymSx3a8qd5xL19cFA934sBjc98fO7lyXFuTVN+3BY/IyEyoyESj1DtQHDjZ1HGKuotzagKw8uUTIoivL5fD09Pbmri9PQ0MDlcmV0zwQAAAADA/2RHtZ0BicmsSTy7/w3KRLW1xhM3rPokmfRJabGGt5jLCaN6aelKbvPA21yibIDhmEEAkFVVVXuHm6ZTKagbJXcfeby6xLpdDqDwdDV1e1uQ9qMkpISn8+XZZfYHAoKCgQCQUNDo7sNaTPV1dVaWloGBgarTU1WzvOLf5v2x71HL+Jf443FzTEMe/km5eWbFNt+Zgune88YP1pJsTs3hsqvS+RwOCQSSUNDQ+521jKZTBqNpqOjI3fPWvLrEtlsNofD6fgCjru7+40bN/CmFQsaI3d/TRAIpGezdu3a7jYB0jPp6lc7Hx8fYYCwgy+WgtiPPG56aisFBQVUaiMJNUNDw9bcKPbYhGFYVlaWs7OzNI2TYXR1devr6wEAQUFBffpIkH9BUdTExMTCwqIzZufxeIL3HHkMEJLJZB0dHZlf+tlOw0Lo2GPhOYJyNI0fqiBEVcLUNg5lgBtYYClbcUaJsEmp/qUyyiA4HARE6UViDAzwvmfYd/di5XnCNkJZlmHcOcbYH3oZGEhtok6gz3JTavaHolv32ZRq0XZC8eeqSzeMZ/pouzp1l23tgEAgKCkptaaYqxAjE+Mh04alRr59H/6aTWu0a5XH5n54kVGcmOfo7erk7UIid2I2IYqiKioqcrcfvwtcoplF3ynz3T7lV8dG5iRGfaDVS9hZXFna8Cw48+972U7DTD0m9LcbZIyiX9nxLT8uURwURTEMMzAwkLtFKxUVFQ6HI7t7JkToZ2GyZL5H7kfK3bC0B5EZNbWMpn0KS+rPXX0beDPFy7PfzKkOnu7mhK9967qedrhEWQDDMCKRqKam1pySvMzCYDCoVKq+vr7cfeby6xJpNBqdTpdHISZlZWUejycXLlEMBQUFIpEoj7mPFApFR0fH4P9P5jMNDWdOmZCalXsmKDj48V8sNkesf2ZewfajZ09eub1i7oyV8/z0dXW63GQA5Nklcjgcwc4DuQsQMhgMwW4PuXvWkl+XyGKx2Gy2QYdfnFevXj1ixIjPnz9LvFpYWCgQPNPX1+/gRBAIBAKByD5d/Wq3bt26gIAAGo0GAPjw4cOQIUPaPVRubi4AQDBUz6awsFCspZUZhFpa4qpWxcXF306AUMjQoUNbWbURIlegquhsAtClYkEACEXeMDp+l88vUSN8h4I2bFhGlPsQnAP4qdtxarawEa9N5r9ZhVquQ3Ta76nEJ1LRUpr/KzvsV37eqy+tNSXKD/dyh0wnukxBlGQ38KNubWm368fP4c8qXsTg2Bc5Ry61If+PGxUvovVGeWg7OyFEOZMdaz0KSiSX6W6OE53Tn757G/aKTW8UgmLT2a9D4t6FJZk4W9h5ORnZm8hmfcmejZG5zpy1Q/1WumW8Lkl4lvs2thDji0uP8nhYcnR+cnS+pg7ZfZzV6On2Wr3kLCMTIlNYWeju2jR6xw+jnv+Tfv9J9r/xhTye+LeOy+VHvsiJfJHTW1d1urf9gpkD++jLWWQIAoFAvmUcbawuH9lzaMu6wOAHF26GlFWKly6rqKo5GBB4/PL14z9tWj7Ht1uMhEAgrcfW1tbW1lbipYyMjC42BgKBQCCQbqSrNzr16dPnzJkzguM7d+50ZKiHDx8CAORRFaGtFBQUiLW0UmRGUVE8i6Wurk46NkEgsoEyOlqbsBMFjZZZWXhCFW8LA3sKwFc0QxpB0iIMPI3ouIu24YxifspW/vvNOC1fKgYDAABJWdFvD3Ggt2gbwqZxY66zzvpz/76MN1Q3d2u3g5IUjHwn2Wz/ntzXSOwSvbCk4Mrt1J9++Rz+jFtPlXh7z0BBiTTQZ8jCsyvd53kqNik9yOPwPibmPPr57rV1FxNuxTRQ6iUOAulUiETUyd1k1d6xR4Pnz1k71Mhc8o9mXTUj8vb7HfNuXdj/PDO5tIuNhPQwCCgyeKDhr7vGxIWv3vPjmP79JD+gVlBoF4ISh0+98N2aOxFR2XysLb9TEAgEAulW9HS0f1q79GP04+CAI+7OEgqmMJis1bsO+f+4h8HsaI00CAQCgUAgEAikC+gGJYTFixf/8MMPAIA///yztLSd63GPHj3Kzs4GAEiUjuxhVFZWirW0Ugm9qZKbQHITAulJKCD9tQl7iUgjV4ADRgN2vYZ/kId/asNYBCWC4yHU0EesGa95zX+9lJ/5C+BIKXSHoKQJ60heK0HjgvY4h8lNCmWeX8x5fAyrLmnu7m6HbGxou/17k7yB7JUAACAASURBVPkzgIKC2CUuteHzk+epuw59DLxOzf7QLeZ1DQrKpIE+Q747s2KQ31CJmqK0Kuq7sKQb6wMf/Xw3JyaDx+Z2vZEQDR2y1wyHfZdnbjvtM2xCf0Vl8W8sAIDHw95E55/YEn5g5f2XT7I5bF7X2wnpSej1Ul081/Wv4CUhl+fPmupIJksQTMMwPO5V4drtYWNmBF66liRRmxQCgUAgsglJQcFvotfLu3++enj9u2neCk0Ud2+GRQyftSS/BO49gkAgEAgEAoHIOt0jlX7s2LF169bV19cvWbKEx2vzSlx9ff2GDRsEx8OGDZO2dTIHk8kUa2llgFChydo9zCCE9EgISG8twl4CZiPWzsVza/i7aNg9HLQ6NoOgaP9NqPlSgDR2jziGlz/jJczHCq8DjC0NqwFxkI+izzag0KQkG5/HS/+bFbiKHfoLVpYrlbmkD4LoeripLfQjmkpQPMZ5/Nq3qbmnL2X9eqb61Vucx2/ap2egqKo0aOaw784sH+Q3lKQsIQyA4/intKIXZyOCVp//N/BZWXZbItYQ6WHpoL9468iToQtX7R1r62KISFJ/Lf5QFXQ8+scZ16+diPlcVNvlNkJ6Gq4DjH7dMzH5+fqzR3yGDTaV+K0rKqk9fOZfN+9za7eHxb0qxGE+IQQCgcgPzvY2V48dyP0nbOtKf23NRoomKVm5btMXRP4b1122QSAQCAQCgUAgraF7AoQEAiEgIODcuXN///33mjVr2nQvj8ebNWuWoCwfgiCjR4/uFBNliaYBwlYWHudyxYMiVGpP1v2DfMugQIXM+wHQ5qKgUQ0/HPDo2MNq/nYOnt6G0UwXElwvIloDxC/wmVj+ZV7CPOzzY4CLl5hqBwQbT+VVgfjAyRLChDjOz4ljXf2BfWsHv+Bdx+fqDFANNRXfif03rdYa6ICgEn5QvhHdUSU15UEzh30XsMLDf3QvEz2Jfdh0dmZUyoO9t+9suZoakcxqEHfskC6ApEh0HWG+6ejkg1dnj/G1V1aRENNlMjgx4Vl7l4Sc3BaRklCEQQVISMdQUiR6e1nfODc76t7ypfMGaao38fYAcLn8iKjs79bcGT/7j6vBydQG6WxDgUAgEEgXYGzQ+9CW9ZnPQ708GpUtr6mj+qzYeODMJQyTwlsDBAKBQCAQCATSGYirYbQPLy+vt2/ftu/ewMDAkJAQROK2aknw+XxhlGv8+PHfQg1CPl88+aaVGYQcDkespWlOIQTSg0AA21VLfSgdv8PCY0Uv8PGKWv4RJWSIGsFfrGBhs2OpWREGnsZrkrEPATi9cR1QdhWWfQwvfYxarkE0mwQR22q0qg5/6Hcs+0naZe+5iSE4rUasA78ohV+UguqZEwdPJ9qNBCihgzNKHTVLczVLc249lfIysTI6nkeji3UQ6I6WPf1b09FOd7iburVlt9jZ2SipKTt6uzh6u9SUVOW8zMz+J41JlSAbWF1MiQ36O+76P4Z2fe28nMwGWaKE7tms8y2jb6w5d90wvxVur//9+DwkteSjuHowjuMZr0syXpdoaCu7jjaZMMtFq5eqxKEgkFZibqK9a9PoretGRMV8uBWaEveqsGmfD/lV+49FHTnz7xjPfvN8nYYNNu1qKyEQCATSLnppaUZe+f3opWu7jp8VRgQxDDtw5tKrlPRrx38WSzGEQCAQCAQCgUBkAekECMlkcm1t+8W42q17Kahl2ONRVW3nomTTDMJWph5CIPILCjQ0CKuUcLcGfhAfUEQvsfAkDi9dFZ2tjI4CoFWbEhBtF8Lgy1hZJJb/B+A08nJ4Qw7/7QZE2wW1XI+omHXUbpIycZAP0dmblxnDjb+N13wWu45V5nPCj3Njbyq4+hAHTgRECZlP3YuChnqfyeMMJoyueZNS8SKG8Un8nyDQHa19m0rua6Q7fIjOEBe0h25Z0Dbu5T7Pc8isYcUphTkxGQWvP2B88Z3jOIZ/Siv6lFZE1lTp597fepRDc6mHkM5DgUQYOs5q6DirolxKdHhWwrNcLkd8R059DfPFvezoh7kDhpl6Tra1dTHsFlMhPQYSieDtZe3tZf2xsPre4/TgB+/rqCyxPmwOLyIqOyIq29K819zpTrN9JBcyhEAgEIhMgSDI1pX+9lYW/pv31IooZ/wVHe8yZe7d338b5GTXjeZBIBAIBCJ1KisrCwsLlZSUzMzM1NTUusUGCoVSWFhIIpHMzMzU1btoO05VVVV5eXllZSWRSPT09GzTvfn5+RQKRUtLy8TERFFRsZMs7BZqa2sLCwsxDDMzM9PW1u4WG+rr6wsKCng8nqmpaa9evaQ+PoPBSEhIGDlyJIEgc/kb7UY6WQtLliyRyjhtwsXFZdy4cV0/b9fT1MOyWOJrSRJpmkEIA4SQbwRFZIAO8VcV1BdpvA0CA3Qq9mct/xceLh6+ahaEiPaZQnS7jprMA6j4Ei1ek8x/tQzLPga40ijwSVAgOoxRXhGo6LcXNZCQZofXlXOiLjLPLuK+vImzxBP1ZAGESNRxc7H9aaPtjg06Q1wk6o4yij8V3byf+tOhTw8iOLU9tjAqSiSYuliM3zh1wdmVHv6jdfpKzndn1NFTI9/e3RoUsuNaakQym9Yq9w6RLiZWugs3ef56e/6M5UN0ekt4q+HxsDfR+Se2hB9ceT8mPIvNanP5ZAhEDAtTnW3rRyT+tfb4/kn21r0l9vmQX3Xg+IvBE87uPPQ0M7eyiy2EQCAQSDvwHuWREBrk0Fgwo6SsYtS85X/cfdhdVkEgEAgEIkXodPqJEydsbW179+49ZMgQJycndXV1R0fHCxcu0OldtFTFZDJ///13R0dHPT29wYMHDxgwQENDw9bWNiAgoKGhQerT8fn8+Pj4ffv2ubu7Kykp6erqOjg4jBkzZsOGDa0cobS0dPPmzQYGBhYWFm5ubv379yeTyePHj3/48KG8q5Hz+fygoCA3N7devXo5Ozu7urrq6OiYmJgcOnSIQqF8/X5pgGHY7du3hw0bpqOjM3DgwEGDBunq6hoZGR04cKC8vFwqU9BotNOnT/fr18/Ly6tpPTi5RjoZhJMnTzYyMvr06ZNURmsNCIKcPHmy9cKkck27A4RNUzN795a8AgWB9DwQQFJFfZUQVyr2Bxf/KHqJg2fX8H8io1NU0CkIaF0SG1ENtViJGk7j51/Gy58DIFKWDOdhnx9jlf+iJvNQ45kA7XBWHIIQLIcQLIdgnzK4CSH8vFdi13FGHTf2Ju9VKMFxnIK7H6Kq09EZOwFyXyOzRXOMpns3pzvKa6CVP/un4u+Ynq07CgBQ0VIVSI9S8isyXqR8iMviMsV3bwAAKPkVlPyKhFsxpi4W/T3tTAaaI+g38RsnO6hrKU+cO2DCHKest5+jQtPSEovwJvUHiz5UXTsRE3IxcdAoi7EzHAxMtLrDUkjPQZFE9J1k7zvJPi2r/PaDlLDIDAZTXP6BzuDcDn1/O/S9g43+3OlO07ztlJV6Zvo1BAKB9Az6mRgn3A9av+/IlZBHwkYWm7Ny588vX709//NPyko9Kl0AAoFAIN8U//zzz5IlSwoLCwEAurq6bm5uLBYrNTU1LS1t9erVx48fDw4OdnFx6VQb4uLiFi1alJeXBwDQ1tYeOnQoh8NJS0vLysr6/vvvT5w4cevWLXd3d6nMRaFQzp49e/HiRUGciUgkjh07dvr06QMGDLC2tm5l3uS5c+e2b98uiFxaWlra29tXVlampKQ8e/bs2bNnY8eOvXbtmr6+vlQM7mIyMzMXLlyYnJwMAFBVVfXw8EBRNCMjo6io6Keffjp58uSVK1cmT57cqTbk5uYuWrQoISEBAKCsrDx8+HAFBYXMzMyCgoK9e/eePHny8uXLM2bMaPf4DQ0N586d++2332pqxMtC9QykEyAkEonLli3bt2+fsEVLS0tfX7/z8tVGjRo1fPjwThpc1jA2NhZraWWYummA0MTERDo2QSByAhHpq03Yx8T+acBu4+DLHw4OuHQslIXHq6NLSIhta4dT6k2w/Qk3mo59OIfXpzW6xGvAPl7EP4ejFisQvRGtlDBtGdTITnGmHVaex00I4WfHNopKAoBzmLw3Ybx3EUSb4QrD5iLasqh8CHVHRdE17z3SfNzwRaMLkz9mRKV8Si8CTeJPfC7vY2LOx8QcVR01Sw9buzGO6r01u8PYbxcEQWxdDG1dDCs+1cdGZv/7OJNJEw/oMumcmPCsl0+ybZz7eE62dR5uhsJoLqRjONjoO9jo79ww8vHTrGshb7M/SNhomZZVnpZVfvjMv5PH2Sya7Wxl0fPrcEMgEIicoqRICjy8Z7CT/Yb9RzkihT9uPIzI+JB/9+xvZkZ9utE8CAQCgUDax/nz57///nsej4cgyP79+7dt20YikQAAHA7n7NmzW7duzcvLGzp0aFBQ0Jw5czrJhitXrqxatYrD4SAIsmPHjj179giEOnk83qVLlzZt2lRYWOjp6RkYGLho0aKOTMTj8c6ePbtv3z7BAruqqurOnTuXLVumq9uGFzEOh7NmzZo//vgDAKChoXH58mU/Pz/Bperq6u3bt1++fPn58+cDBgyIioqyt7fviMFdT2Rk5Jw5c6hUKgBgyZIlJ0+eFKi84jh+586d1atXV1VVTZ069cCBA7t27eokG168eDFz5kxB8bt58+b9/vvvWlr/7eQODQ1duXJlVVWVn5/fjh07Dh061NbBq6urAwICzpw505HierKPdAKEAIBly5b9/PPPPB5v1apV+/fv19ODtZSkhp2deK2CysrK/v37f/XGpt9dGCCEfJMgyuhoRdS5gX+NhTfKxuPj5bX8w0rIMDXCdyhobbFPRN2W4BKAV0ZjHy/gzDLRSzizlJ++F1G3RS3XIhrS+V1H9fspTt+BUYp4iSG8zBiANdY25HN56X/zMv4hWAxS8JiHGlhJZVLpItAd1XFzYRR/qvg7tub1O7yJfgKj+FPRzU+lj572ch+kN3IoSavHRsUICkQLt/4Wbv1p1Q0fYjMzolKolfVNu9GqG96FJb1/9Erfqk9/TzvL4bYKij02dCqb9DbSmLF8iJef7cvIzNcviksLxHeK4TiemVyamVyq1Utl+CTr0dPsVTWUusVUSI9BVUVxru+Aub4DBAmFD56ks9jierYNNLZoQqHvZHtFktSe5yEQCAQiRZbP8XW2s561bltR6ZdXhncZ2W7TFtw49ctYD7dutA0CgUAgkLZy/vz5NWvWCI6PHz++ceNG4SUSibRx40Z1dfVly5ZxOJyFCxdqampOmDBB6jYEBQUtXboUx3EAwMGDB3/66SfhJSKRuGbNGm1t7blz5/J4vGXLlmloaEyfPr19ExUXF8+fPz82NlZw6ufnd+rUKUPDtm3Nx3F8yZIlN2/eBAAoKChERkaK5jXq6OgEBgby+fwrV65UVFSMHz8+NjbWzMysfQZ3PVFRUT4+PlwuFwCwfPnyS5cuCS8hCDJnzhwjI6NRo0bxeLzdu3dramquW7dO6jbExsZOnjxZILU4f/7869evi+pN+vr69u3bd9iwYRwO5/DhwxoaGtu2bWvlyILM0VOnTtXXS1iy62FIpwYhAMDQ0HDy5Mkoip48eRJGB6WLqampWC5maWlpa26sqqoSPdXS0urbt680LYNA5AcUaGoQvtckbCIAMUFOnIXHVvO2sfDYtoyHIHojCUOuo5brAVFF7BpOzeQnr+On78VZ0tG5BgCguiakKZuVV10muvoAhSaqRDjOz3vFuvoD6/pm/ockaU0qdQS6o46HfuozaSxRVfxzA//XHU3bc+Rj4HVq9oeut7ArUdVRG+gzZP6Z5dP3z7X1ciJKiv/hOF6WU/pv4LOgledenI34lCYh6RDSqSgqKwwaY7r74vTdF3zdx1oRiBIenGqr6I+CkjfPunFh//O8dKn91UO+ZRxs9A/tHJ/017pDO8dbmkuurJ6WVb7z0FOPyRd+DYguLu2x9VwhEAhErnFxsE16eH3MsMGijdV19d6L1+88GiDvNYcgEAgE8u3w/Pnz77//XnA8YcKEH374oWmfpUuXTpw4EQDA5XL9/PzS09Ola8PLly9XrFghiA56enru2LGjaZ85c+YIxCT5fP68efPevHnTjon+/vvvAQMGCKKDCIIcOnQoJCSkrdFBAMDBgwcF0UEAwN69eyWqnp4+fdrAwAAA8Pnz54kTJ9JotHYY3PXk5OT4+fkJooP9+/c/depU0z4eHh7C78yGDRseP34sXRsKCgqmTZsmiA6ampqeP3++aTU6V1fXrVu3Co537Nhx586d1oycmZlpYWHx9u3bnTt3HjlyRE7VX1uP1AKEAIBVq1ZhGMZms6U4JgQAgKKok5OTaEsrA4QCPWghQ4YM+UaqNkIgzaGIOOsQf1NBp4h5PwzU1/Mv1PIP8fG2LO6jCqixH9E9GDWaARBC42s4XvkvP3Eh9vEi4EmtRDOioUcau1J5bZCCx3xEWYLQOfYpk31vP+vK97y0FwCX0RUHge6o0+FdZv5zyJLklQS6o7mnL2UePk2JTcS44hW5ehIIghhYG41cPm7RhdUjl48z6C/5iZPD5OTEZDz6+e6zQw9Twl7TqqhdbCfExEp36Y5RvwXPn7F8iLaehIRjHpf/Jjr/yPdhB1eFxoRncZokfkEgbUVdTXGu74Cnd5beODfb28uaKCk+XVVDvxCUOGr6pe/W3ImIyubxZdTzQyAQyDdLLy3NiD9/37rSX/RlHMfx3y4GTVu5qbYePtRBIBAIRNZpaGhYunQpj/ffS+6hQ4eaW2Heu3ev4IBOp8+fP5/DES/Y0W4YDMaSJUuEA/7yyy8oKjmusXfvXoF5LBbru+++YzAYbZro2rVrEydOFMjykUik27dvS4xEfpV3794dPHhQcKyrq7tp0yaJ3dTU1ISXcnJyJEZeZQ0Mw5YtWyZMrdu9e3dzZea2bdumrKwsuGXp0qUVFRXSsgHH8RUrVlRXVwtOd+zY0Vw9yB9//FFwCcfxVatWlZSUfHVwGxubnJycR48ebd26ddu2bSEhIdIyWzaRZoBw7NixFhYWiYmJUhwTIsDb21v0ND8/vzV3iQUIhw0bJkWTIBA5BQGKquhsHcIBBUQ8bZ+DZ1bzd9KwUBy0ZWVfQR21+p4w5CqiN1L8EsbGim7xEuZiJfcAzu+Q3SIgyuoKw+crr7lK8lqJqEuQPsfK8zjhx5kXV/BehwG+jEbXBLqjtj9ttN2xQWeICyLpwY5R/Kno5v20XYc/PYjg1Pbw/BgSWdHWy2n6gXlzTywZ6DOErCEhwxIA0FBBTXn05vr6S49+vvsxMQfjSe17BWkNGtrkiXMHHLk1b/0vE2xdDCW+ExXlUq6diNk88/rt3+Oqyhq63EZITwNBwLDBpmeP+MQ/WbNt/QijPhpN+2AYHveqcO32sGGTzv8aEP25HC43QyAQiAxBIKCHtqwPvXBcQ63RHqOIf2Ldff3TerpsBgQCgUDknd27dwvDKiNGjBg4cGBzPYcMGeLo6Cg4Tk1NDQgIkJYNP//8c15enuDY1dXVw8OjuZ4ODg5ubv/peOfk5Bw7dqz1s/z555+LFy8WhCERBAkMDJw9e3Y7rBWEr4Qh1ZUrVwriZBJZtGiRgoKC0ICEhIR2zNiVXL58WSi+amBg0MJHpKen5+PjIzimUCg7d+6Ulg03b96MiooSHGtray9cuLC5npqamjNnzhQc19XVbdmy5auDIwgiSOsU4OHhoanZYwshAekGCFEUff369fjx46U4JkTA1KlTRU/fvn3bmrs+fvwoetpu2WUIpOdBREy1CfvU0AUIaFQzDAccOhZaw9/DxfPaNCBC7kuw308YcAJR7Sd+jVuPfQjgJy3Cq+I7aHYjSMrEQT7Kq/4gTf4R1TFueh2v/cyJusg8u4ibGAK4LGlOLVW+qjvKpTZ8O7qjAAAtQx33eZ7+F1ZP3TXLwq0/SpDwS41j+Ke0oqcnH11Zce7fwGdVhZVdb+e3DIoiTu4mm45OPnh19sS5A8hqTVR/AWDQOC9C03d8d/vElvA30fkYBsVhIR1FV0dllb9b9MOVgoRCgiTnUFlFuxCUOHzqBUFCIR9+8SAQCERmmDLGMyH0mp2VhWhjXlGJ+wz/KyGPussqCAQCgUBapqys7OLFi8JTX1/flvsLgzEAgJ9//plKlcLmxerqatFYY5ts+O233ygUSmtmCQoKWr58uVAAfP/+/S2EnVomPDxcVN20ZYN79eo1evRowTGO462vk9ctcLncX375RXg6depUIpHYQn/R/4urV69mZGR03AY+ny/MzgQAeHt7KykptdB/1qxZwuO7d++2Q3jWyMiorbfIEdIMEAIAtLS0pDsgRICjo6OFxZcXiZSUFOEehOZgs9mif3J2dnZ2dnadZR8EIpcQyOj4XsSjioir2AUeXlzD30/F/sQBs00jItouhEGBBNudgKQtdglnFPNTd/Dfb8JpHyXe204IRKLDGKXlFxT99qKG1k2v4/Ra7j9XmGcXcV/exJmym1MCdUfFQFDEyMFk/Mapiy+tHbl8XC9TycV92XRWZlTK3W1Bt3/8811YEquhbd9YSAfRN9acsXzIb7fnL9zkaWQu/lcPAMBxPDO59ML+5z8tDI68/Z5WL7uheoi8gKKIIKEw9vGqbetHGPRWb9pHmFDoMfn8qUux1TVtE9WBQCAQSCdhZdY37t6VWZPGiTay2JzlOw6s3nWI09OfbyEQCAQij5w6dUpQ5k2AmMpdU4SxLgBAXV3d5cuXO25DQECAaHG+NtlAp9MvXLjw1SliY2NFo4M+Pj67d+9ul7EAAHD48GHhsYGBwYABA1ruP2rUKOHxy5cvX7161e6pO5ubN28WFxcLT7/6fzFy5EihGCyGYRKrFbaV+/fv5+bmtt4GDw8PEokkOMZx/MSJE22dUUdHp623yBFSCxD6+/s7Ozv/+eef0hqw4xw8eNDZ2Xnfvn3dbYh02LBhg/CYyWS+e/eu5f4pKSmi9SCXLVvWWZZBIPIMCrQ0CT9oEjYRgNjiPs7E/q7ibWHhsW0bEUER/fFE99uoxUpAEBcQwGuS+a+X8TN/AZyaDtktPilCsByitPCE0oKjhH6DARDXPcSZVG7sTebZRZznF3Fqq3ZOdQtQd7QpiqpKtl5Os371n3l4oeNEZ5KKhGQ1AEDtp+qEWzFBq89H/Br6MTEHg3XIuhAlsoLnZJt9l2fuvuDrPtaKIKlQHOUz9X5g0uZZNy7sf/4xQ2qy+5BvGX09tVX+bi8fr7p8YsawwaYSBW/LKxtOX4pzn3Ru7fawuFeFOMwnhEAgkO5GlUy+dfrQ+Z93KjTebh8YHDp81tKi0rLuMgwCgUAgkKbweLyrV68KT7W0tEQzWCQyaNAg0Yp0ly5d6qANGIaJRhyUlZW/mgPj4OCgrf1llS8wMBBv8V2orKxs1qxZ3P/v1NHQ0Dh79my7Dc7IyBCVCXV1dW2uZKOQkSNHip52/EPrPP744w/RU1dX8aQLMbS1tR0cHISnt27dEo31do0NKioqon3u3bsnLF7YSoQasD0SqQUIs7Oz3717V1YmQ4+zRUVF7969E6vD14207Im+ytKlS3V1vxQbCwsLa7n/y5cvhce9evVavnx5R2aHQHo2ioizDvEIGR0vFlrDQF09/0Id/zgftO2XAxCUUJN5RLcbaJ8pAGnsaXEML3/GS5iLFVwBGLuZ+9sJamSnOHOf0tIAov1ogBLEL3NZvDdhzPNLOY+PYVXFkgaQFaDuaFN0zXt7LBoz6eDMEavHmTpbIKiE50s+l1/49uPTk4+ur72YcCumvqy26+38ljGx0l26Y9RvwfNnLB+irafatAOPy38TnX94/cODq0JjwrM47LaUO4VAJEFAkTGe/W6cm/33/RWr/N20NCVUtuBy+RFR2d+tuTNmRuCFoMTaephqDIFAIN3M8jm+z6+fN9DrJdqYnJY5ZNqCF3GymzQAgUAgkG+N58+fV1Z+qWni5OT01ViXgoKCjY2N8DQnJyclJaUjNsTGxgorIAIA7O3tW9a0BACgKGpvby88LSkpabmw36pVq0SDGocPHzY0NGyvveDWrVuip19NHwQA2NvboyJb5B88eMCVSV2BwsLCuLg44amenl6fPhI0wMQQlqUEADAYjMePH3fEhoqKihcvXghP1dTUvhq0FrOBy+U+ePCgTZPCACFEOojm8wEA2vp3TiaTN27cKDwNDQ1tub9oh23btqmoSFhhh0AgQhBAVkMXaBN2ExFxXWk2/q6at4WOPQagjVlZir1Q680E1wuIZpOnAT4LK7jKS5iPfX4McCkne6F65qQpm5VXBhJdfQCRJH4Z4/HS/2YFrmaH7MNKs6Q7tXSBuqNNQYmoiauF9zbfhWdXuc/z1OgtuU4yvZb2Lizp5g+XQ3Zcy4xK4bI4XWznt4yGNnni3AGHb8xdtXesrYuhxLenolzKtRMxm2dev/17XFVZQ5fbCOmBmPbV2rZ+RGLE2rNHfIYNNpXYp6C45teAaLeJZwUJhV1qHwQCgUAa4zFoYPLjWyPdGu15r6qt816y7reLQR3cXgyBQCAQiFQQW3/u169fa+6ytbUVPY2IiJBlG+7cufPo0ZdiwGZmZitWrGijjY24f/++6GlrDFZRUTExMRGe1tTUJCUldcSGTuLBgweijyjd8n0ICwvj8/nCU3Nzc1SS/Jh0bRAqlPZIYICw6xALEHI4bV6u3bRpk5WVleA4KysrNrZZ5cPU1FThzggnJ6cffvihrXNBIN8mCoiVDuEXNXQBAhoJOeKAQ8PuVPN3c/H8to6JqPUnOJ8mDDiBqJiKX2NTsOxjSlk/EumZHbC6mXk19UljVyqvvargMR9RarpFAOfnvWJd+5F1fTP/QxIAsrsGAXVHJaKirTrQZ8j8M8tnHl5o6+WkoCT5YYWSX/Fv4LMry88+PfnoU1qRDP8/9zQIRNR1hPmmo5MPShdGvgAAIABJREFUXp09xtdeUVnCdjMGjfMiNH3Hd7dPbAl/E52PYfC/B9JRSCSCt5f1jXOzo+4tW+XvpqkuoVQ7h/NfQuHYmZev3H7DYMANBBAIBNI96Olo/xV0dutKf9FGPh/beTTAd9WP9Q0dFeCCQCAQCKSDiKaLAQCMjY1bc5dY3CgmJkZmbeByudu3bxdt2bRpE4HQRJGr1VAoFNHyeAAAIyPxPASJSPdD6yTEghHd8n2Qig0vX75s02asrybOyjUwQNh1UKlU0dP6+vq2jqCoqHj16lVhTuuBAwea67l9+3bBt1xVVTUoKOirmdcQCEQEAhkdr0M4REIcxC7w8KIa/v4G7DoOWBLvbAFE24Uw+A/UejNQEE/5Qhl56gV7+ak7cGZp+61ubl6ypsLw+Uprr5G8ViKqEmrqYp8y2ff2s/5Yx0t7ATB+0w6yA9QdlYiuee+Ry8f5X1g9Zq23kYNJkwKUAADA4/A+JuY8+vnutXUXE27FNFDa/AMEaTf6xppz1w07FvLdwk2ehmbaTTvgOJ6ZXHph//Nd/ncib7+nUdvsXiCQpliY6mxbPyLxr7Vnj/i4Okl+I80rqD5w/MXgCWcPB8Rn51V1sYUQCAQCAQAQCYRDW9bfOPmLinIjjejHL2LcfRdm5H7sLsMgEAgEAqmurs7OzhZtaWUwpnfv3qKnb968abcNdDr9/fv3Hbfh7du3GCZBvuvy5cui5cm0tLQWLVrUDjuFxMfHi0We+vbt25ob9fX1RU+Tk5M7YkYnIabU2r7/i+LiYgqF0m4b2hcwFrOhqqqquFimSy91JTBA2HVkZjbKEMrKao+yn7u7+6lTpwTHz58///3335v2OXz4cGRkJACASCTevHnTycmpHRNBIN84BKS3FmGbBmE9CtQbX+EzsKdVvC1s/HWbB0WIaJ8pRPcbqMk8gIqnE+FV8fzEhVj2McCVfgIcQlImDvJRXnOFNPlHRFuCkDpWWcAJP868uJz3OgzwZDqbBOqOSoSkTOrvaTd116x5J5YO8huqpqsusRutivouLOnG+sBHP9/Nicngsb+JD0cWUCaTPCfb7P9j5rbTPq4jzFGChAewytL6+4FJW2bd+OPwP8UfYLQGIgUUSURvL+uQP+Y/uu4/13cAWVImK53BeRiZM3tFyNQFQbdD3zOY0C1AIP9j7z4DmkjaAADP7qYndEREBFS6NLuC2HtvKNh7r6d39nr2dp6nnuVOsHP27lmwK/YCCjZEqrSEmr7l+5H7YkgiBAgJgXl+ZTeT3TdLmGT33XkHggwttE+3J+cOe7s2UF35MTE5aPDYE5evGysqCIIgqIaLjY1Vy3XpODOfZjJGdSLDMomLi8NxvOIxCIXCpKQktTYkSW7evFl1TVhYGI/HU2vG5/PFYl3ncY+NjVVbo2PAdnZ2qovv3r3TcY8Gk5WVpTpTIyjv3wJU4N0JhcIvX4qVdit3DG/fvi1fDNUPTBAaAkmSO3fufPz4serK33//vYQaoSWYNm3apk2bFCNb586du27dOmW10vT09JCQkMWLFwMALCwsLl++3Ldv3wqHD0E1FwtpaUPbzEY7guLDskiQm0f8nkdsJYCgzBulmaENJ2MtIhC79mqbBRROpl/EH48kk44BshIu0WI0mm8n9qR9zMEr0Drums9TeRmym3vFu8bI7x+lJFW6qFHZ647WlDFzlg7WzUOCRvwxqe/SIR5tG9EYWkaQUxSVGpsUtevKwal/3tl//dv7VMPHWWO5+dpPWdFlc+TwQRNbWtXSNhBWRkTf+Lh68ulfp5y5dyleJsU120BQWfl62a9b3O3Jv9PXLe7m6VZLa5vY+IzF66616rFr8bprHz6X/45OCIIgqBw8G7o8PB0xqHsn1ZVFItGw2YunLl0nx+HvAQiCIMjQVIfWKeg4WsvKykptTblHa1VqDFFRUYmJiapr+vfvDwAgCOLChQuTJk1yd3en0+m2trYcDsfa2nro0KEXL14seb9qG7SxsWEXLxLwI9bWxQoOVcHxbdX+81BjwcqTlej8+fMHDx7Mzc198+ZNbm6u2rN8Pj84OLhevXqenp7W1tY7d+60tbXVccs///yzu7v7lClTMjIylixZsnXr1oCAABzHHz9+rEgW9unTZ8eOHS4uLvp9RxBUA6GAa46OYyFBheTfOJWu+pSUeiXDP/DQQRy0S1nvt0A4jpjPKqogjvy0i8ovftOKvIBM2Et9u4w2mIjYta/wO9DcN4K5tcTcWpKp7+TRJ4nPT9Wep0R58gdH8adnML+u9FaDETMthUmrDkXdUccBPbPvP866+wgvEqo1UNQdzbx1z9KvUa3gVuaebkaJ08AQBHH0dXb0dW4zpmNC9Id3N99kJ2ZqNpMKpXE338TdfGPlaOPZtpFne1+2Bcfw0dZAFjacHmEBXUL8Xj/8eu9SXNwLLeWFkz5mH9qWffbAszY9PNr18ba1NzN8nFA1w+MywwYGhA0MiI3POH72zdnLbyUaGejCIunxM6+Pn3nt62UfNsB/QC8fFhOeL0AQBBmCGZcT+ceGPw5GLtjwu2pGcH/kmfiExOO/r69jp+sVAwiCoMpAZn4hMxMACW9ZqPJQGmJeC3PyAWiFfslrJmPUklg/wmQy1dbk5ZWzVpZavk2/MURERKguWllZtWnTZufOnVu3btV877m5uSdOnDhx4kTHjh3379/foEEDoI3aC3WMFgDAYDBUF8VisVQq1XwXRlSpfwsTiqH60fMJ/507d7TW8zUKtQrFhmdra9uyZUsAQPfu3UttrJxZUEf9+vVr3779/v37IyMjX79+fevWLQBA7dq1u3fvPnXqVMV+IQjSFwbiYYOtF5JXhORpCnz/NUwBUSF5WEI9MEPH0xGXsm4WMffGmu4UJf2LJf+NyYsN16BEqcTbFYi5N+o2A7FoVOF3oAXq2IgZ0ojM+Iw/O4e/uwOoYr03JRPjz8/jry7TvNrSAkNRG50mVTYWRd3ROt07Cp6/yYy6J0pNV2ugqDua+zKG4+RYK7gl1UCnEvDVAJPL8u7s793ZX5CS8+F+3PvbseICkWaz3FR+9LF7T048dPJz8WjXqH5zN601MCH9otHQZu0aNGvXICM57/aFdw+uvJdKNLI1eeKrx1//G/nGq4lDp4G+fq2cq/Xc2JCB+HrZ+3rZL5zZ/vKN+PDIF5++aClpGxufERufsXXP/ZA+fmED/Z3qqk+gC0EQBOkdgiCzxoQFeHsMm70oI5uvXP/g2aumfYYd+31d+1bNjBgeBEE1F4FLL2wm3t83dhxQGaA29ZhDViGW9qU3/QHNieJ0HAzHYrHU1uTnl7OqU+XFQBDEv//+q7rG0dGxdevWb968sba2HjVqVEBAAADg8+fPZ86cycjIUDa7detWYGDg1atXGzduXGrAOkb7o4DV6o4aV1X4PGjWqtUxBgzDaDSaarnacsdQ/eg5QXjz5s2bN2/qd5umKygoKCgoqPK2b2FhMX/+/Pnz50ul0pycHB6PZ2FhUXm7g6AaD+OifVhI8wIyXEYVK5YtpxIFxAoO2pmHDkFAWe/uQXCrICHL10Zyj0w6AvBiA+CogjjixXTErh3qOhVhlf9XXQlQe1dGn/n0NsPkzy/ir64AonhpUwLH397C393GGjanB4WhDh6VEYO+KOqO2rRqKkpOzbz1QPDsFaVxz4ooOTXpaCrG45o39Wd168iwqindpnU929bD2rYICUp8/vn9ndiUmK8USam1IXHi68uEry8TOFZcj+BGnu19rerqerMbVBH2TpZhM4L6j2v+7FbCzTOx6V/Vqw5QFBX3Ii3uRVptR4s2PTzb9vbimlWhGwkhE2VuxgwbGBA6IODKjdfnr32+/TARx9X7TL5AtOfg432Hn7Ru5jxsoH/XDu40ePcABEFQJWvbosmTc4eHzlj4+FWMcmUWX9B99PTVP037ZfJoI8YGQVDNJH9yGmYHTQ7JT5Fe2sYasancWxCJ1G8v1jEZozkMptyjtSovhpcvXwoExaYNio2NtbW13b59+4QJE7jc7xOCbNu2bcOGDatWrVLOyJiZmdm5c+eXL186Ozur7UVttkLdE4RaA65SCULNiRgN/3kodwyKMFQThHAEoRIsGVQdMJlMHSfkhCCogjDE3gpbKCbvFpHHSaCazCNE5DUp+ZKL9mOjwQBgZdoshTBQ52Fone7kl7/Jb1eKD+ajqKw7RE40WqcbUm8IwtGpuHZZIVYOjC6T6YFD8JdX8GfnKGnxQp0URXx+Snx+ijp605v3wzyCAFKlLxCXWneUKBLm3n2U9/CJddMA+24d2HXUJyuurjA65traw7W1hzC3KCH6Q/ztWH6ylpnGRLnCVxeevrrwtI5H3cb9Wro0bWj4UGsgNofRtrdXcC+vuBept8+/i4lOIjWSuJmp+af3P7ly9FWvEY07D/Kl0cvW1UCQJgQBzQMcgls1EEvRE+djIs+9Sc8oUGtDktTDp18fPv1az8FiyphWg3v7MhjwswdBEFSJ6ta2izq656c1W/ceO61ciRPE4s1/fElO3bN2iRFjgyCoBiI+PDR2CFB5kClvKVE+winnjdFqyRgajaZjATy5XK62pqBA/RSjfDEAnRNCpcYQHR2t1mDq1Klr167VnKyOyWSuWLHC1tZ2xowZypUCgSAsLOzevXs0WrH0ilpGU/f0lR4PWiXR/FtwODpNUlOpnwcdYwAA4MVndK5qh9eIYIIQqrYkEoniwejRoxWdBZPJ9Pf3X716NYbBq1pQRSBstD0TbVxIHJdQD1SfIEB2AfmXkDzHRfuy0XZlTRMChjXq+TNSbwiZsIfKeVTsKVJKpl0A6ZcQm1ao42DEummF34UWCNeKHjyc1qwP/vwi/uIiJda4RpwaJ02NQyztaY170AJ6VEYMeqRL3VH+kxf8py8tfDxrdwyuIdMTKnCteH49m/r1bJr9JfNd1JtPD+PlYplms28f0r5tOlOrfu0m/Vs2bOkBYHHLyocgoFEzx0bNHPP4wnuX4m+fjyvMU/8FLBbJTu17cuvcu/7jmgd2dTdKnFD1U7sWb+aEwOnjWkc/Tzp25s212x8JQn1AYUp6/pJ117btuT9icOMJw5vzuHAkKwRBUGVhMhi7Vi8KahowZelakViiXP/XP2eb+HhNChtoxNggqDqRy+VLlix59eqVYlEo/O/uUuU1JQiqsQiCUF3UPROjmRAq69RaP4oBwzAdp+UrNYb379+rbXnHjh1q2T5V06dPv3379unT32/ciY6OPnHixLBhw0oI2CgHrZKovTVQgWStvj4PusdAUZRaGFXt8BqR3hKE7u7uUqlUX1vTIyenmjLRFKQmJ+e/CXUePfqeaLl8+bK3t3fnzp0re+84jufm5kokEs06y1WcRCIpLCzEcbyEL8WqSSQSCYVCkiRR1GCD2wYAuhfgnQEoX3UtAXIKyAMF+AUg6gKkTQAoJZ7CwkKpVKqsVAAAC9Sew+C252QcxqQpxZpSJJXziMh5hLPdJLZ9pGYtKmskn3tnpEEw/cNd+ttrqFCg9iSVlyG/HS5/cJxZ2y/HoXmmuXmlxKBH9R1tJgzjfU0pevpK/P6zet1RisqPjc+PjWc61TULas52bwiq8CRv2dnZQqFQedaqB1zg1dffrXuj9NdJidGfcr5kAfVBayA7MfPabxcsHKzcOzdybOxSjukJYZdYPi2712vWuW5sdNrjG4kpn9T/EwVZRQc23L5z8W2vUT72Tur3hGZnZ/P5/MzMTAN2ifpRWFgok8k0f/dXfbm5uUDbyU/Vl5OTw2QylTdjujqzl89tNWm47/l/P1y4/omfq56i5gtEv+97GBH5PLR/o5Denjwuw+AhAwAASZJ8Pl8kEul+1l1FiEQiPp/P4/E0b4Ct4kz3V6JQKNSsT2US8vPzcRw3xS6Rz+fTaLSqeYmgZHw+nyTJqvMh79Sqybk/N09cvDYp/fvsRz+t2eLVoJ67y/drHabbJcpksvz8fJlMxmAY59uk3Ixx+qkfptsl5uTkSKXSzMxM/W728uXLmzdv1lz/7ds3/e7IpGEeQWTGZ2NHAZUZWs+n3MMHAQA8Hq98L9Q8Jyr311O5Y5DJ1O+BVovh06dPqov29valfvtv2LDh3Llzqj/MNm7cqJYg5PF45eumSg3Y6PT4eVCt4GpyMVQ/evvVe/jwYX1tCoL0gsFgaN7wxWazvb29DdAF4Dguk8m4XK7JXQ3HMIwkSS6XW3XOinWEIAgAgMvlGvYMrSkl85XTruO0fylQbKw6QHMA7zjCvc7Au9OIoBLShARB0Gg09Y8lN0hu15rk36alhCNy9QnJaOJPvJRtXGZtvHY/0q47hVbGGA4uaDEANOtDfniIvjwPBKnqz8sltqlPbdOegW++lH8Pqn4TULXHl3EbeVo38sQLCvMev+A/eEKJ1fsHaXKaNDmNbmNtFdTcslUzlF4V/wVEIhGbzdZ/J8YFFh38vDr4CQVFX598+nDnXVFOoVqT/PTcZ4cexF1+493Fz62dN41RhuMDu8SKCOruGdTdMyVB8PDKx5f3kmTSYl3Nl3fZuxbdadXVtedwf57F965A+VExuYtWBEHQ6XRT/LGuOKMzxcjFYjGDwVCLvGF97k9T7WZPbvPgcdKR0zFPXqZQxe8eyC+Q7j308vDJ2AE9vcYPa1LLxtBvnCRJiUTC5XKr2plzqRAEYbPZHA7H5D4tVaFLLB+KohAEMbkDDgDAcRzHcVOMXCKRaPl9awoU355VKvIWAb53I/ePnLf8/rP/RjhJpLIZq7ZEHf6TxfwvqWa6XaJiQiAul2tyCUIjnX7qgel2iRwOB8MwvUfu4+PDYrE0Lx+Z3JlLpaK3HERmfoHTEJoW1KYes/dPFdmCmZmZ6qLuN7fpMdelFgNBEDreU1JqDGoTEDo6Opa6TVdX1379+p05c0a5JiYmJiEhoWHD79OyVIWDVknU3hrQeaS15lvTvfJqFYyh+jGxUzsI0l2tWrUU1YQPHjzo4OCgWOnu7m6YQaU4jkulUh6PZ3K/KWk0GkEQPB7P5C79oChKURSPxzPGGVooQbUvIs9KqGgAio1OoxC+lH6UYNzmogNYSCutKTTF+bz2u2DM+oF6Xcj0S2TKKSBRvwUJkWbSk/eBb5Fo3f6o40DAUK+Trh/Ne4FmPYmEZ/jz80Tia6A2voyiQEoMkhKD2TrRmvWl+XQC9KpdcY7HsxzYm92qiTT2ff6Dp9Icvtrzcr4g68K1vHuP7ToG1wpuiVWxf2GhUMjlcst9z1SpeDxebSf7FoPbfH3++cW5J1mf1W+bFfILn0U+fPfva/9ezXy6BNDZOl3KgV1ixXn587z8nYqmSc5HPL97KZ5Uqf1IktSjfz+9fpDUe2TTjgN8aDQUACAUCjkcjpG6xAohSVImk1Xeh7zyKE45TDFykUjEYrF+FHmvrj69uvp8TuTvOfj4/L9xOF7sa04klh89HXP2SnzoAP+JI1rY26mfsFUekiTFYjGPx6tqZ86lQlFU8e9pcp+WqtMllgOCICZ3wMH/E4SmGLkiQWiKkXM4HMV/qLEDKYbH453cvblJr7D0rP9mj373MWHt7gO/LZuvWDTdLlEmk8nlch6PZ3IJQqOeflaUiXaJigSh3iNv0aJFfHz858//DY/7+vXrxIkTAQD29vb63ZFpw2jMAYvIzKFkZgIg8dLbQ8aF0hDzWpiTD0Ar9JtNLRkjl8sJgtBl2qa8vDy1NbVr19ZLDAAAqVSqy1dGqTEUFRWpLtapU0eXeIYPH66aIAQA3Llzp4QEoe7VFNQCRlHU1tZWx9caRrmTc5X6eTB8DNWP6Z3aQZCOkP8XCQwMDHR1dTVuMFC1hyH2FthUHjVISF0Sk3fU0oQ4lZ5P7BIi57hoHxYSWGrR0eKb5qD1hqCOgyn+Y/LrYaogTr2BvID8eohMPo7YdUCdhyHc+hV9M5oQBHNtgbm2oATp8hcX8TfXgFz9C5jMSZb9u1N+Oxzz7UxvMQCxsNN/GPqD0GiWrZs5de2QFxv/7d8oYWKyWgNZXn7qmUvfrtywad3cvmt7hmX5i3KYIgRB6jd3q9/c7dv71Ffnn359maDWQJQnjD569/mZaK/2Pk36teJYmd4NyCaKZ8EaPrtNp4E+/+yOjn1S7HMrKpKd+DP67sW4AeNbNGvXwFgRQtWVa32bLSt7zZ0c/NfRp5Fn30iKj2QVieUHjj0/fPJV7y6eMycE1neyNlacEARB1ZWtleWR7Wu7jJyinCB256F/Oga26NOprXEDg6BqwMXFxcXFRfH43bt3igdIFZ54wljQ2g3Q2vBEowapV6+e2hrFaPVSX6iZjCn3aA3NGMRisWaWSJcYnJ2dVRfVak7qsk0AQJcuXZhMpmra78OHDyUErPsIQrWA7e3tdZxt0WC0/i10eWGpfwvTiqH6Mb0bnSAIgqosDLEzR8fZYBtYSBvNDhan0vKJPXxisYR6oD4Or1QIitgGYs3+xJrsRGwDtYxEJOVUxnXiyVji9U9UziNtm9ADxNqB0WUye+YRRufJWlOAlFSIPz8v/nOs9ORK4uurSgpDbxDE0s/b65eZnvOmWfh6aU49SEikWbcfxC5bnxgRKcnIMkqMxlXH07HngoFDNo72aNsIQdWPj1wsi7n68vDMvXf2Xy/KKTBKhDWTfT3L2et7/LS5t4OL+rjhzNT8PatubJl3KSM53yixQdVb3TrmK+Z3fnBx6uxJQWY89fNVuZw4e+Vd58F/TV94/tOXHKNECEEQVI21bdFk3oSRykWKoiYt+lU5phCCIAiC9KtRo0Zqa7KydLowopidXQlFUc28joFjABoJIbUKkzomCM3MzLy9vVXX5OQUO/FRC1jHaIFGBqsKpq8q72+hOy8vL7WB++WOQXlfCAQThBAEQXpGQxwssCk22DoW0kYzk4dTqfnEHj6xSEI9KXOaEADE0hfzW4+1OoI6DgJaph6kKMELImYR8WwClXENUISWTVQYwuTQmvdjTw3nB06U2nloaUFRxOen0uNLJAdm4q+vAly90ndVw3Ot7zZtnPfiOTYtmyIaNYIonOA/efF29ZZPuw8UfflqjACNzNbFrtP0nsO2T/Dr0QSjq5cTIeRE3M03R2btj9p1JTdNvWQrVHm8m9ZdsW9w6PRADk+9vsr7V2m7Ft+9fTKxME/X2xUhSHc21pw5k9rcPT959qQgS3P1usEkSV25+b576IHxc0/FxKmXKYYgCIIqYvVP01oG+CoXswW5I+cuJUmyhJdAEARBUPloJoTS0tJ0eaFazszLy6vcdaQ1E0Lli6F+/frm5uaqa2xsbFQXcVzX2rlqh0WtVKnasxkZGTpuOTu72B0//v7+OsZjMDY2Nmq1l8v3t2CxWB4e2q4l6oDL5aol9soXA4Zhmh/vGgsmCCEIgioFDXG0wKbYYOtZSMsfpAn/4BOLy5km5Dii7rNogf+g9ccAurlmA6rwExG3Do8eRiYdA7iwnO+hlCAQiYNPTttprHF/0AJ6AJqWX3tkZoLs6h/iXWPkt8Opwqo+moTj6FB/TKjP6oV2HdqgDLr60xSVHxv/fvOu91t25cXEAarMfzVTZ1Hbss2YTsN+m+DXowmNqX58SIL8cO9d5LzwKxvPZGrMXAhVEoyGdh7ku/7osE4DfdDiQzxJgnwXnbVs7Mmrx1+rTRoHQXphZcGeM6nNw0tTl8/rZGerPhsQSVK37if0G3UoZPzRh0+TjBIhBEFQ9UPDsEPbfjXnfS/vdvfJi98OHDViSBAEQVB1ZW1trVYaNDU1VZcXfv36VXWxdevW5Y6Bw+G4u7tXRgyqEweCsgz1Uzsm1tbFplcICAhQXSQIIiMjQ5fNJiUVO2mqyEGrPGrvTsfknNrfokmTJhWZeFgvMfj6+priXLyVBCYIIQiCKhENcbTAZtpg636QJkzJJ/6QsNZRjNflSBMChhVafywt8ATqOR/haCvXIMkgE/bij0LIjzuAtLKqD6G1GzJ6zGRPj6B3GIuYaZlCmRLlyR+fFP85Tnp2PZkWX0lh6AvTxsppSD+/tUscenWhcTmaDYoSvn7+M/zdmm3ZDx5TOt9iVm2Y1TJvM6bTyJ2Tmg8OZHLVRw5RFPX1ZcLpJUfOLj/29YX6zIVQJeGaMcNmBK36O8SnhXo/ICqUnt7/ZMW4EzHRMEMDVQoOhzE2rNn9C1PWLe5Wp7aWG1aev0kdMS0yZPzRqHufDR8eBEFQ9dPQyXH78p9V1yzdsuvpm7fGigeCIAiqxnr27Km6+OXLF11epZaMCQoK0mMMiYmJeonB19dXdVH3BKHaSMRatWqpLjo7O/v4+Kiu0eWgyWQytURXBQ9aJamCnwejxFDNwAQhBEFQpaMh9SywmTbYWq1pQgpNA7xDAmKVlHpZnq1jbNShD9byEOa3HrHQNkAeF5Kpp/HoMCJuLSXU6YdUOSAcS3qrEPbUA8wBi9C6XlpaEDjx/r7k0DxJ+Cw8NgqQVTq1RuNxHXp39d+wrP7oUJadlqynOD0j6ejpmCXr0i9dJ8QSw0doXGxzTvOQoFG7JrcZ3ZFrpeWuq28f0q5sOnNy4aEP995RNW+0pVHUcbaas6HnzLXdazmoJ2kyU/N3LPl328+X0hIFRokNqvYYDCxsYMDdc5O2rupV38las8HzN6kTfjrda1j4mctvSRL2CRAEQRUyamDvYf16KBflOD563vIiEawrDkEQBOlZv379VBdfvtTpslVCwvfbhel0eu/evfUYw4sXL8oaA4qiahsBGimiuLg4HUt2q01e2KRJE7UGffv2VV3U5aAlJSURxPdJgvz8/NQGOFYRam+tHH8LAMCAAQMqEkPv3r1Vq86W4zNZ8RiqGZgghCAIMhAa4mSBzbTGVjKRxprPyqnPecS28qcJERSxDcSa7saa7ETs2gNEo3sn5VTGdeLJGOLFDCrnUXkGLOoCo2GewaxRW1ljd9B8OgLcD8eDAAAgAElEQVSUptmEzPgsu7RVvGuM/P5RSlxQKWHoCUKj2bRq6rPyF9epY7nOWsZoygsK0y/fiFm8NvnEeXl+lX4vlYHOZvj1bDrij0mdpve0qGOl2SA7MTNq15V/fo74eD+OJGCVS0Pwb+28JmJo6PRAFke9DGzci7RVk04f2navKL/GpbQhw6DTsYG9fG6emvDXtkE+nrU1G8R9zJq34nKPsPAzl9/isE+AIAiqgN2/LnJz+V7iLCE5dfn2vUaMB4IgCKqWOnToYGFhoVzUJSGUlpaWmZmpXOzYsaOtrZa7rnUXFBRkZ2enXNQlISQQCFRHjAUFBdWtW1etTfPmzVVX5uXlxcbG6hJPQcH3iz8IgmiORVNLPukSsNqBHTJkiC6RGJ6zs7NqQvTDhw9qUzBqoijq1atXqlto1apVRWKoXbt2YGCgcjEpKUltfkGtVP8KtWvXbt++fUViqGZgghCCIMig6EhDS2yeNbbiB2nCT4o0oYwqZ5kgxNIX81mFtTqCOg4CKFOzAZUfS8QsIp5OoDKuAaqyhvGh9q6MPvPZ0yPobYYjbG2zJBYJ5A+Oiv8YKbu4hcz+Wklh6AeCWPp5ey2c5TlvmoWvlsGRhESSdftBzNL1iRGRkgxdq1JUGxgd82jbaNhv47vN7WvtqOV3vyAl586ea9d+Pffu2mtcVqVHjlYPiokJ5/3exS+4tubEhPcuxS8ZFXnzdCxM2UKVBEWRTm1dLxwe89e2Qf6N6mg2+JiQPW/F5Y4D9oUffy6FfQIEQVC58Dicw9vW0Gnf78b75/KNk1duGjEkCIIgqPphMplTp05VLn79+jU9Pb3klzx9+lR1ccKECRWMAcOw6dOnKxezsrI+fy5l8oJnz56pljLSGgOKoqGhoapr7t27p0s8fD5f+bh9+/aqyUuFZs2aqWYNHz16VOo2VQ8ag8EYNWqULpEYxezZs5WPSZJ8/Phxye0/fvyYl5enXBw3bhyCqFdWq0gMQIcjnJKS8u3bN+XimDFjMAyrYAzVCUwQQhAEGQEdcSs5TZhLbBAQq2VUXPm2j7Drou6zaIH/oPXHALrW/NxnIm4d/nAImRgO8FLu9yk3hGdNDx7OnnmY0XseWstFSwtCjr+9JflrmuTwfOL9fUBV6YwFz7W+27Rx3kvm2rRsiqDqX6AUjvOfvHi7esun3QeEiTVuvjcEQRq28gjdMrbnLwNruzloNhAJip4cu394xt5nJx9KhVLDR1jTcHiMtgNcFu/q7+6nnqERFkojdz1aPv5k7JNko8QG1QQIAjq1dT13cNTJv4YHtXDWbJCSnr96a1THgfvDjz8XS+SGjxCCIMjUNfPzXjpzouqauWu2JqaWct0WgiAIgspk9uzZLBZLuXju3LmS26um2Tw9PQcOHFjxGGbMmGFmZla+GJydncPCwrQ2mzVrFp3+vfTOxYsXdQnmzZs3ysczZ87U2mbhwoXKxwkJCaWOTbx//77y8YgRI+rV01LCqooICwtzdv5+flemv4WZmdmPjliZDBw40MPDQ/cYVA8vi8WaM2dOWfdYvafOgQlCCIIgo1GkCZmSeUDupvmsnPqYS6yrSJoQMKzQ+mNpQWcw78UIx0lLAxmfTIzAH4aQH3cASaUNfcPoNN9OrAm7WSM3Y57BWsqfAkCmxknPrhfvnSh/fJKSVFbCUi84jg71x4T6rFpg16ENylCv4ggoKj82Pn7TzvdbduXFxIFq/RtCCwS4NG04aM3wAavCXJo01JhwE4jzRc9OPTo0fc+DiChRrtAYIdYsTm62v2zvO3Nt91p11G8UyEjO+33R1W0/X0pPyjVKbFAN0SzA8cju0JN/De8Y3FDzVtH0jILVW6Pa9Nmzfd+DgkJ46wAEQVDZLJo6tkPr5srFgiLhsNmL5DgcnA1BEATpjb29veoIvLNnz5bQmKIo1WzNypUrUY27q9UUFBRIpaWcCFhbW6sOZCw5BrUGy5cvV80CqnJycpo0aZJyMSoqKjExseQtC4XCZ8+eKR4HBASozcmn1KtXr4CAAOXimTNnSthmUlKSssQoi8VavHhxCY3lcvmbN2/u3LkjEAhKDrWS0On0BQsWKBfPnTtXcvJM9b3PnTvXykrL9DSqxGJxqWVLURRdtGiRcvHixYt4iT9+VGOYPn26vb19ydvXJJPJVBfl8mp1hytMEEIQBBkZSjZECqdaY8sYiLfmsyppwvjy7oCO2HfDWh7E/NYjFj5aGhAiMvU0/ngY8XYFVfC+nHvRJRDHRswBi9iT99NbhSAsnmYDKveb/Ha4ZNdo2dU/SH5K5UVScUxba6ch/fzWLnHo1YXG5Wg2KEr4+vnP8Hdrf+M/fkHpNtN1dVLH07HngoFDNoz2aNsIQdVzAnKxLObqy8Mz997Zf70op8bN3Wh4/q2dfz04NHR6IJvDUHsq7kXaqomnju98KBbKtL4WgvSiWYDj378Nvnx07ICejTCNPkGQK/p938Og3n9u/ONuXgGcIxOCIEhXKIpGbFllY/l9dqhnb96t2/W3EUOCIAiCqp9Vq1YpC2nevn3706dPP2p59epV5eR/3bp1Gzp0aAmbTUhICA4OtrS0NDMzGzNmTMlpoaVLlzo6OioeR0dHlzAm786dO/Hx/11ACw4OHjt2bAmbXbNmTZ06/xXdIUly3bp1JTQGAERGRiriRFF07969P6pUiSDIrl27lMnRiIiIElJKe/bsUebYlixZ0rBhwx+1vH//vqenZ0BAQIcOHRwcHJYsWUIa43LTpEmTGjf+rxxaWlra5cuXf9QyISHhxo0bisdubm6qWT1NfD5/0KBBZmZmFhYW3bp1K7mY7ciRI5UzEebk5JSQgk1LS1OODXVyclq5cmUJm/0RiaTYWapavtDUwQQhBEFQlUBHPKywxdbYMgaiZZY7OfUxl1ibS2yQUwnl3AGCIraBWNNdWPN9iH1XLcP4SDmVdYd4Ppl4MYPKeQRAZQ19Q6zq0DuMZU0/yOgxE7XRUjaBkonx11cl+6dIjy8hPj2pvEgqjsbjOvTu6rd2cb2QvgxrS80G4rRviQcjY5dtyLx1n5RWqx8QurB1ses0veew7RN8ugWgNPWPHCEn4m6+OTJrf9SuK7lpfK1bgPSFRkM7D/Jdc3Bo295eahX/CZyMOvN20fDjN0/HkmTV/XeDqgEvd7ttq3tfiRw3oGcjDFPvE4qE0j0HHwf1/nPVlpuZ2VV6KDkEQVDVUbe23d51S1XXrN31953Hz40VDwRBEFT9WFtb7927V3EiSRDEj7JoOI4vXfrfV1Lt2rX37dtXwjblcnn//v0fPHhAUZRcLj948ODcuXNLaG9mZvb3338rUm4URa1Zs0ZrM5IklSPwrK2tDxw4UPKMd5aWlpGRkbT/z+kbHh5ewoR2+fn5K1asUDxesGBBixYtSthyYGCg8h19/fr18OHDWpulpKTs2rVL8bhNmza//PLLjzaYlpbWr1+/L1++KBalUum6deumTZtWQgyVBMOwiIgINputWFyzZs2PBhEuWbKEIAgAAIvFOnTokGqtWk0TJ048c+YMQRAkSV6/fn3IkCEljE1EUfTAgQPKwrNr1679Ua502bJlinwenU6PiIjg8bQMVyhVYWGh6mJ+fn45NlJlwQQhBEFQFUJHPKywJVbYQjqi5Y4hGfVWQKzIJTbIqS/l3gVi5oF5L8FaHUUdBwFMy3czlR9LxCwink6gMq4BqrIqFCEMNi2gB2viHmbYWsy1BdAsRklRxNdX0lOrxHsn4c/OA3nVLT2HMpm1Owb7rl5Yf3Qo20FLpQKZIDfl5IU3i35NPnFenl/jBsxZ1LYMHNWh+7IBjbr605jqlT1Igvxw713kvPArG89kfv6mdQuQvljYcEb91HbpnwPcfNU/qEUFkshdj1aMP/n2aZUevAtVA+4NbLet7n377KQxoU2ZDJrasyKRLCLyRdt+e35afikpNU/rFiAIgiBV/bt2mDB0gHKRJMkx85cL8mrcb04IgiCo8vTv3185/OvQoUOnT59Wa0BR1OzZs1+9egUA4HA4586dc3LSNtPN/8XGxr59+1Z1zbFjxxTJpB/p2rXrr7/+qnh88uTJI0eOaLZZsGBBdHQ0AIDFYp0+fdrV1bWUNwZA27Zt9+zZo0x/hoWFpaamajaTyWQjRoxIS0sDAAwePPhHGUpV69ev79ixo+Lx/PnzP378qNagqKho6NChiuSTq6vrmTNnGAz1qj9KFy9ezM1Vnx9k7969169fLzUSvfPz89u3b5/ioD158kRrznjXrl3//PMPAABF0b///rtVq1YlbFAsFl+4cEF1zcOHD5WjUbXy8PAIDw9XDOKMiYlZtmyZZpsDBw5EREQAABAE+fPPPzt06FDaO9MCx3G1v51yiGr1ABOEEARBVQ4D8bHGVllhC+lIA81nZdRbAbE8l9ggp0qpjV4ChO2Aus+iBf6DNpwMGDaaDaiiz0TcOvxhCJkYDvBCzQb6gSCYS2NmyEr25H20Zv0AXVvCUpAmu7lX/McI2Y29VEF2ZUVSYQiG2bRq2mjZPM950yx8tQwDJcSSrNsPYpauT4yIlGRW3TdSSdhW3JbD247aNbn54EAmV/0PTVHU15cJp5ccObv82NcX5R0mC+nG2b3Wgt/7zVzb3dbeTO2pb0m52xde2bHk3+x0eFURqlz1HCxWzO/84NKUKaNbsVnqtw7IZMTZK+86D97/0/JLCV/hCGMIgqBSbFs6z7Ohi3IxNSNr8pLSL1xCEARBkO7WrFmjGBJHkuSoUaN2796tHLP16dOnzp077969GwBQp06du3fvlpwNAgBoThpHkmSpBTMXL168ZMkSAABFURMnTty+fbtyO4mJiT169NiyZQsAoFatWlFRUe3bt9fxrY0fP/7PP/9UjCNMTk7u0KHD8+fFxuInJSV179790qVLAICxY8ceO3as1LkVAQB0Ov38+fPt2rUDAOTm5nbt2lVZbxMAcPPmzcaNGyvSma1atXr48GGtWrVK2Fpenva7J/fs2VP6O6wEI0aM2L17tyI/t2zZsqVLl4rFYsVTWVlZI0eOnDFjBgCAy+WePn162LBhJW8Nx3HNv36pU/0NGjTo77//VswxuX79+p9//lkoFCqeEggE48ePnzBhAkVRLBbr+PHj48ePL/u7BFKpdNasWQUFxa6QLF68uIRCuyYHKXkaSQgyXS4uLklJSQCA0NBQc3NzAACGYS1bthw9erQB9o7jOJ/Pt7CwKHn0dBUkkUjy8/NtbGyU4+tNhUgkKiwsrFWrli5f0lVKQUGBRCJR1nNXI6PeFpH//CAXiDCRAC46iI64VCgCUk5l3SKTjlLCJO0NMA5apwfqNBSwaquuVnwdurm5VWjvKiipkIi5KX92lsrP0t4CQbCGzWnN+2EujSuyo6ysLBaLpegZKokoOS3z1n3Bs1faJyBEEAsfT4eeXbguWoqsliAzM5PL5ZavJIIRqXWJcrEs/nbsqwtPhbnaqwjautj592rmHuxdcjEQAzDdLjEzM/Pbt29+fn4ldIkyKR515u3loy8lIvWf3RgNbd/Xu/+45prTFla2goICmUxma2tr4P1WnGKWeGtra2MHUmYG6BJLJsgVHTr5Mvz484JCLYPFURRpH9RgzqQ2vl7FRr6SJJmdnW1mZsbhaJkItioTiUQfP35s0KCBEY95+Zhul1hUVCQUCmvXrl160yomLy8Px3FT7BJzcnJoNJqlpZYC7FVcTEyMjY1N3bp1jR1I2ZAk+eDJ814T54ol3zvSveuWjh/S34hR6UImk+Xm5lpZWZUwZqJqMt3TT9PtEhMTE6VSqaenp343S1FUeHj406dPFRdIc3NzT548CQBwd3f/8OGDfvdlLAsWLNi0aRMAYOPGjSUUMIQgXRw4cGDevHmKZJWdnZ2fn19hYeHz588JgkAQZOTIkZs3b/7RBS5VEonEy8tLdYhYSEjIiRMndInh2LFjs2bN4vP5AABbW1t/f3+RSPTs2TNFsjA0NHTbtm3KmQV1d+/evXHjxiUkJAAAEARp165d8+bN6XR6bGzsv//+K5fL7e3tt2zZMnz48DJtVi6XL1y4cMeOHYrwGjRo4O7unpycHBcXBwBgs9mLFy/+5ZdfSv0efPDgQXBwsOZ6e3v7b9+MVo3pxo0bEyZMSE5OBgBYWFj4+/ujKPr48WPFpH1dunTZtWuXjpcNO3fuHBUVpVz09fV9/fq1Ll+yd+/eHTdunKL4qrm5uZ+fH4PBiI6OViQs27Vrt3v3bm9v7zK9r+3bt9+6dYvP57969UqZ+FTj6enp7Ozs4OBw4MCBMm28VNbW1orRogKBwMrKSr8b1wQThFC1xeFwtP4Dnzt3LigoqLL3ThCEQCAwNzdnMpmVvS/9kkqlBQUF1tbWP5pot8oSi8VFRUU2NjameIYmkUhKvPRDUfR3FOtfCtNS5QAABJF7o5KegKjYhQyKpBe+ZPIv0wpjtDdAaDLz5tJa/QjOf1/tim/fBg20DHOsWCQUlvya/u4Gmvb2R01IWxfcqwPh1obC1Med6CInJ4fFYhkgzYYL8vKjnxc9f0Np3BynwHSqaxHciuPREOiWCcvOzuZwOFwuV69hVjqtXSKJE8kvEuP+fVOUpX2wmoWDlUdnH6dmDVCNucoMxnS7xOzs7MzMTG9v71K7xHyBOOpU/LOor5q/CTlmjE6DvFp3b4iihsvUFhUVyWQyU0yzKU6STfFquMG6xJIJRbJTl+KPnHqbVyDRfBZBQFCLeuNCA3y9/rvcQJIkn8/n8XjK2S9MhVgsTkhIcHFxMfoxLyvT7RKFQqFIJCr5puyqqaCgAMdxU+wSBQIBjUYzuSw4ACAuLs7KyqocVxWNS9Elnrx2Z/XOv5Ur2SzmtYg/3F1KqvBmdHK5PC8vz9LSUnH7vwkx3dNP0+0Sk5OTZTKZLgUDy+T27dtDhgzRXM/j8dQmnTJdMEEI6Vd2dvaePXtOnjz57t07xagvJyenXr16zZgxo0xpmOfPn4eGhioSch07doyMjNS9a+Lz+fv27fvnn3/evn2rKExat27dXr16TZs2zd/fv+zv6T9yufzYsWOnTp26e/eusgewsbFp3br1oEGDQkNDyz0OJC4ubufOnZcvX1bk0hAE8fPzGzBgwNSpU3XJpyqsWrVqzZo1OI6z2ezQ0NCYmJgXL15gGKY5HNOQhEJheHj40aNHX7x4oRjzV6tWra5du06ZMqVNmza6byc5OXno0KGPHz8GAPj4+Jw4ccLLS0t1Lq3EYvHBgwePHDny7NkzxYyD1tbWXbp0mTx5cvnKip47d07He0QYDEbJ02eWA0wQQpB+8Hg85bBiJQRBbt26FRAQUNl7x3E8NzfXdBOEVlZWJndvuOmeoRUWFkqlUh3uDadI2luccYVCtc4QhqB4I5qsD0JW9H5nVPSZnnWRnnsfUNqLvxNcL7n9INyiWULCFwBAw4ZapkvUCyQ7EYu7hXy4hxA/qCrAsSA92hG+3Shu2b4vc3JymEymcjbjykYUCfMfv8h79IwUa7nqDQBg1qlt2aYlL6ARUtqn10QThCV0iRRFpcemxF58IUjO0fparo2ZZycf17ZeGN0I16NNt0vUPUGokPJZcO7vl0kftNRydGxg1Xdc4wbeBrqKVFhYKJfLTfFquEknCA3ZJZZMLMHPXok/eOJNVo76rziFgEb2Y0MD2rZ2NvUEobOzcxU55roz3S7RdK+GwwSh4b17987a2tpEE4RcLnfikvXX7kcr13s2dLl5aDeLWXUH58lksvz8fAsLC5MbQWi6p5+m2yUmJSVJpVJ3d3f9bvbp06fdu3fXvDpqbm6en5+v330ZC0wQQpVEIpHw+XxLS8tyX6NQzO7G4XBcXFwqEoOFhYXe770rKirKzc21sLDQ7++ZoqKi/Px8W1vb8l0xFggESUlJnp6ebDZ7//79kyZNsrCw+FH1UQOTyWR8Pp/NZpf7pJiiqC9fvsjlcnd39/J9vcrlcj6fz2QyDZBXqzwwQQhB+tGwYUPF8KZff/1VeS+Gl5eX1uHYegdLjBqe6dZ4KbnEqAZKSr0qIk/hVLK2ZxEW0oKLDqYhFb2oQYnTqZRT5LfLgNCe00J4DbIZbYo4rV3dyzZOv8yRCPPw2Bv48wtU4Q+mocJomFtreosBaF1dq80YpZ4eIZHmPHqaefOeLFf7TzemrbVdhza12rRCGT+8gbp6lBjVggJfXya8PPc442O61ufZFhyfLgF+PZsxuQa968J0u0RdSoyqoSjw4t6Xk3se8zO13Cvt19p52Iwg2zqVns+AJUYNz+glRjXJ5cTF6/E7/nqUlJKrtUEzf8fJo1r4eJibm8MSo4Zjul2i6dbTgyVGDc90S4wqqi4LJdImvcO+ZX2/72rO2GFblvxkxNhKBkuMGp7pdomVVGIUAHD37l3lSJH09PRVq1YBALy8vBQFAKsBmCCEoGrp999/nzNnTsuWLRWj7qBqw8AJQhM7tYMg3Sl/poeGhuq9BgUEGQ/CRJowscYS6qmQPIVTanXGKQn1REI8ZSEteGgIhthr34Yuu2E7IO6z0AbjyW9XyeTjQKo+uosq+mILvljlnyPpA1HHQYBeWVc5Ea4lvVUIvfkA4lO0/OlZMu29egsCJ97fJ97fR+1dac360Rq1B2hVLH2GsZi1OwbbtQ0UPH+dcf22+FumWgNpjiDl5IVvV6Ps2gXadWhD45rYJe8KQYBL04YuTRt+e5/66vzTr68SQPH7l8T5omenHr2+/NyrvU+Tfq04ViY2htIkIAho1q6BXyunqDNvLx15KRUXG7kbE50U9yylnZEmJoRqGjodG9jLp2837wvX4naHP074qn6DyPM3qc/npbrWtxo/rFlIv8aYAavgQhAEVWW1rK3CN63qOW4m+f9psH+PON6hdfNeHQ1xmywEmah27dq1a9dO8fjdu3eKBKHJpX4hCKppHj58CADo1auXsQOBTJuRv+2EQuGBAweGDx/u7u5uYWExYcIEtQZSqdTDwyMoKGjFihWq05ZCEATVbAgLaWmDbbLAZmrLAlIS6kkO8XM+8QdBZVRoPzQuWm8wrXUk5r0Y4bpoPo8RBWRiBP5oCPlxB5CoZ7z0CaNhnsGsUdtYY3fQfDpqTQGSGZ9ll7aKd42R3z9KibVPa2d0CA2zadW00bJ5rlPH8hq6aDbAi4Tpl2/ELFmbfOK8TKB96Ew1VsfTseeCgUM2jPZo2wjRuOIvF8tirr48PHNv1K4r+Rk17uAYBoNJ6xEWsCZiaOsu7mozY+I4GXXm7bLR/9y7FA9LUEAGQKOhA3v5XD8x/q9tg3y9tdzy8jkxd9HaG50G7jt+5jVOkIaPEIIgqArq3KblnLHDlIsURU1YuDoj+welOCAIgiAIMkGpqakXLlzgcrlTpkwxdiyQaTNagpAkya1bt7q4uIwfP/7YsWOfPn0qKNByMZfJZF64cMHHx2fdunUNGzYMCwtLSdE6+RYEQVANhLCQlrbY5hLThAvyiT0EVbHUHUpH7LthLcIxv/WIdVMtDQgxmXoajw4lYhZRBZVbhgW1d2X0mc+eHkFvMxxhaxm2SBXx5Q+OineOkl3cQmYnVWow5Ycgln7envOney+abdOyqebUg6RUlnX7QczS9Z92HxAmpRolRiOydbHrNL3nsO0T/Ho00Zx6kJATH+69O/7TgahdV3JT4dWuSmFVizt+UYfFuwY09FYvP5XHFx3adm/N1LOfYit2/wEE6QZFkU5tXS8cGn1k99DGvg6aDZJS8xavu9ZhwL7w488lUtzwEUIQBFU1a3+e0cLfR7mYLcgd98tKeHMPBEEQBFUbM2bMkEqla9euNcU5ZaEqxTgJwoKCgn79+s2fPz8nR71mnSYPD4+9e/e+evXK29s7MjLS09Pz0KFDBggSgiDIRCjShBvN0QkY0PxZQEioB3xiQRF5kgJyLa8uw35QxDYQC9iGNfsTsWsPEI1vEIqkch4Rz6cS71YBeeUO4EN4NvTg4ezpEYzuM1Cbelpa4DL87S3JX9Nk/+4ERMXeeGXiODnWHxPqvfQn29bNEZrGsEiKyo+Nj9+44+uRk6Ss6r6LSmJR27LNmE7Dt0/w7d6ExlSfl5EkyA/33kXOD78fHkXIYUqgUtT3tFv4R78xP7ezsFYveJv0MXvTnPOHtt2TwXwMZChBLVzOhI88sju0dTMnzWdT0/NXb43qGvJXbDxMXUMQVNPRabSILat5KlO0Xr8fvT38mBFDgiAIgiBIX5YuXXr+/Pnhw4fPmjXL2LFAJs8ICUIcx0NCQi5dulSmV/n4+Dx+/Lh169YikWj06NE//VR1J9mGIAgyBoyNtrelbbHApmCI+ogfCuBC8ryAWCanEiq+J8TcG/NZhbU6VsDrRCJapiKjMm/hT0ZR/OiK76sUdBatcU/WpL2skZsxz2AtOUtA4a+uSI4upIRVuhwlu05tl1FD/NYucejVBWOz1Z+mqJyHT+PWb5dkZBkjOiPj2ZoHj+00atfk5oMDmTyW2rMURcX++/LEwkP85GyjhFftIQjSpofnuiNhfUc3pTOK5bApCty7FL968umUBDiOEzKcoBbOx/aEXTwypkcnD0Rj5sGU9PzQScdu3P1kjNAgCIKqEPf6Tr8tm6+6ZvGmPx48e2WseCAIgiAIqriCgoIxY8asXbt28uTJERERiOYZEQSVkREShCtXrrx+/Xo5Xsjlcs+cOWNpaQkA+O2335YvX67v0CAIgkwdxkLa2GAbzdAxGLBWew6nUgXEqiLyn4oOJQQAAICw6/CtwlIdNqMNJgCG+r6ALJd4s4j8uAOQsorvq1SoYyPmgEXsSXtpTXsDhnqCjUyLl0TMITO/GCCSiqCbmzn07uq3dpFj/550czO1ZyUZWfGb/hDF19Cr3iwzdvOQoJE7J7ce1pZjyVV7NjeVf3rp0bhbMUaJrSZgsmh9RzdbHT6kSR/kOtoAACAASURBVHB9tacykvPWzzh350Ll1haGIDU+nrV3ru8b8Xufru1d0eLzlYrE8qk/nw0//txYsUEQBFURY0P6DunVVbkox/Hhc5Zk8QVGDAmCIAiCoPLJzs7etGmTm5vbnTt3Tp06tWfPHhqNZuygoOrA0AnCtLS0bdu2lfvl9vb2s2fPVjz+9ddfo6Ki9BQXBEFQ9YEAGgftbEPbaoaOQoFV8SdJIXlRQCyRU/rJMxEoF3UZSQs8gXr+jHCdiz9JkamniWeTqKLPetlXqRDruoyu09gzDjE6TUQsi03KSBVkSw7PJ94/MEwkFYGx2fbdOvitXew8fDDLrljNWEIs4Z+4kH35BkWSxgrPuBhsRuN+LUfunNR2fBdzOwvVp3Cp/M7ea9d/vygTSY0VXrVXq475tFVdf97Wp15DG9X1Mil+ZPv93SuuiwrhwYcMyqOhzW+re1w/MX5gLx8M+35eQ5DU6q1RKzbdIEg44RYEQTXa7l8XNahXV7mYlpk1fM4SgqihvyQhCIIgyHRt27bt2LFjK1eu/PDhw6BBg4wdDlR9GDpBGB4eLhaLFY+ZTObs2bOvX7+emprK5+tanCo0NFT5eM6cOWRNvUgKQRBUMgTQOWhXW9pWDtodgGKjK3AqXUD8WkgepYCehvehdNShN9byIOo+C6BM1WcoYSLxfAqZdBxQBuquESaX1mIAe/J+WvN+xZ6QS6Rn18sfHAXABK4XIzRarTYtG62Y79CrC1AtGUFR/DuPPvy2R55fubM8VmUYnebTNWDY9glN+rdUq6fx+dH7EwsOZn7+ZqzYagKPAIdlewb2HtlEbdjWy/uJKyee+vwWTv8GGVpDF5utq3pF7g2zsiw2gvzQiZeT5p0WiQwxkB2CIKhqsjQ3O7V7M5v1/ff57ehnK37704ghQRAEQRBUDgsXLnz9+vXUqVOZTGbprSFIZ4ZOEF69elXxwN3dPSYmZvv27V26dKlbty6dTtdxCx4eHuz/z8/09u3bJ0+eVEqgEARB1QICGGboCGtsOQ1xKP4MKSKv8omFMkqPhQER1HEQ1nw/YuZefFdyMmEP8XIGJU7X375Kg2KMzpMZPWcDTLXkAiW/f1R6dj2Cm8Y4JwRFHXp39Zg9iWbGU11f9Dnx3ZptBe9raLlRBRRDW4W17btsCNeq2MEpyMo/u/zYs5MPKcoEMsEmCsXQ/mObz9vax8q2WLlXQVbRpjkXLhx8TsJhW5DBNQtwPHdwVEOXYsNbb91PGDjuSHpGzb2jAoIgyM/Lffvyn1XXbNwbcfbaLWPFA0EQBEFQOVhYWJTeCILKztAJwtjYWACApaXl5cuX3d3dS22vCUEQc3Nz5eKlS5f0FhxUvUil/yUAZs2aNeT/Vq9eDUedQjUQHXGzxtZy0T5q3T5BZeUS6wvIAxSQ6GtfCNcZa7YHrT8GIMX2ReW/I55NINMv6mtHuqD5d2MN24hwLVVXEu8fsC+uQQqzDRlJRZh5uHovms2tX6yCK14k/PTHX+mXroOanQar28hpyKbRzk0aqK4kCfLZqUcX1pwQ5hYZK7CawMO/zor9g/1bF/tkkiR14eCLrfMv5eYIjRUYVGM51bU8dWBEq6ZOqis/fM4eOPbw2/eZxooKgiDI6MYP6T82pK9ykaKoiYt+TUhONWJIEFR14Di+YsUK5VWjefPmKdZLJHo7R4YgCIKgKsugU1mKxeLCwkIAwNy5c11dXcu3EYIgVOuRfv5soKmtIJOTnf3f1X/luFUAwMmTJ93c3Dp16lTZeycIQiAQyGQykxv3LZVKCwoKSJLEMMzYsZSNWCwuKioCAKiVHKz6ioqKDHXu0QHB3CleJMDSVFZSYvKWGH+NCIcCuVuZNicQCAAAWVlZWp7j9qLVd+Ol7kBlKtdkcSH5fovk20ORwyQS42l5VWVg2CB9lrNv7kBzvirXoYIUMnIhv/NMoo6ngcKoMJuRg9Drdwsfv1CuoUgy/fINwacE24G9UDbLiLGVqrK7xOZjgq3q274595xSmVMn7W1y5PzwZsOD6vg4lnvLptsl5uTkCASC7Ozsyu4Sh85u4tbY9vxfr+UyQrnyw+v0FeNPDJ7a1LOJfQmv1aqoqEgmk5ni3Tx5eXkAABzHjR1ImeXk5LBYLJO7CkZRVE5OjkQiURYXUdi6osOa7Q+u3kpQrsnMLhoy8eiaX9q1aVnP4GFqIRaLBQKBubm5yR1z0+0SRSKRUCg0uZ+IAICCggIcx02xSxQIBDQaTSYzvRq/it+3upc4qiJ+1CUqLZ8+/kVsfMz/60/kFRT2nzT30r5tqtVHjUIul+fl5eE4bnLH3HRPP023S+Tz+TKZTPvpZwVcvXp19erVmuszMmDlfAiCIKj6M2iCUFnsa8SIEeXeSEJCguqVF/iFDf0InU7XvOzCZDLd3d05HE5l7x3HcQ6Hw2azWawqfdVeE4qiOI6z2WwazaD9g16QJMlms1HU0GOjKwjHcRRFDfCxBAAA4Abki+XUTTntIgVUrmKjAspsD41ow8QHA0rXywSKj/cPI+cEyK120pL/xrL/VV3NyI+mi97L688hLZuV7z2UGYeDhPxKXd+JJHyvSo3KhOxrW6j2EynvDgYKo8I4g3qn2loJr9+lZHLlSsnHL5l7DzuMHMyuV9eIsZXMAF2iX8+mdb2d7u27UZiZr1wpLZI83Bfl1cm3aUhrlFaey9mm2yVyOBwWi2WYLrFNd09X7zoHNz/4lpSnXCkqlB3eHB3c26PvmMY0ehkOPo7jGIYZqkvUJ0XpAlOMnMPhMBgMk4ucJElFx6IZ+cZl3T3dXm7fF60cYi0Wy3/5NeqXGW2GDfQzdKDasFgsFotlcsfcdLtEkiQpijK5Aw4AkMvliu9QYwdSZmKxmEajmWLkim9Pk4u8hC5RgcMBR7b92j5skuD/81jHf05ctHX3vrVLDBimFjKZTCaTsdlsBoNh3EjKwURPP023S1Qcbb1H7u7uzmAwNG9oMMXPJARBEASVlUFP7TgcjpmZmVgsdnFxKfdGTp48qbpoZmZW0bCgasrOzk4xYnXHjh329vYAABqN5ufn17BhQwPsHcdxqVTK4/FMLkFIo9EIguDxeCZ36QdFUYqieDyeKZ6hSSQSHs9QI+oAAGAQTjUvIPfJqa8qKykcu09h8ebYBAbio8tWFOdmJUbOA76LqKzWxIetQP59CihEnsv4uBJ1HIi6TgWoYW4W5oEhy+WPT8nvRHyvyUngSNSfdP5XRrdpADWNwRBWzQLsvDy+HTkl/vZ9aKY8Ny/lz4h6Q/rVatPKiLGVwDBdIs+HF7pxzN2/b3y8rzKzJgXib8bmfMnqOquPRR2rsm7TdLtEoVDI4XAM1iW6evOW7Rl0ev+TqDNvlSspCty7+OFzbNaU5V0cXHQ9+CRJymQyw3aJ+qG4rmSKkYtEIhaLZXKRkyQpFot5PJ7WC4WzJrZt4Fxr/sorUtl/d8MQJLV+x/1vWaJlP3VCUWMOm1Bc3OTxeCZ3zE23SwQAIAhicgccAIDjOI7jphi5RCKh0WimGDmHw1H8hxo7kLIpuUtU8HZ3Dd+8asCUecoxqScu3+gY2GLC0AGGClMLmUwml8t5PJ7JJWNM9/QTmGyXyOFwMAzTe+StW7d++/bt69evFYspKSmKKqN16tTR744gCIIgqAoy9O+YevXqKa4Slu/lhYWFe/fuVV3j4OCgj7igakhZMaNHjx4hISEhISEDBgwwTHYQgqo+GuJkja3ioUOR4neKECAnl9iQT/xBAr1N3obYtae1PIjYqOWuKDL1NPFsIlVksErRCL1VCLP/QkAvNkQSf31VemIFJTGZ+dIYdraev8y0buavupKU40lHTydGRJIqgwtrIDqb0XlGr07Te9JZxa4xZX/JPLHoULHEIaRvDCYtbEbQ1BVdOLxiBz/9a+6aqWduno41VmBQjdW7q9fRPaHWVsWulUdEvhg/55RQZHplDyEIgiquV8fgBZPHqK6ZvWrzi1j4Awmq6dzc3EL+r1u3boqVpliFFYIgCILKytAJQsUX7b1798r38oULF6akpKiuadmypR7CgiAIqokwLtrHGvuVjtRXe0JCPeHjC6XUC60vKw+GNea/AfWcD7BiA8goYSLxfAqZdAxQBppcB/MMZo3aSvJsVFcSiS8lEbNJfsqPXlXVYCxmg/EjnIcPQoqXzeQ/efF+805pNv9HL6whPNo2CtkwytbFTnWlXCy7ufNy1K4rcglMDFSipu0aLN83uKF3bdWVMikeuevRnlU3REXw4EMG1dSv7pkDI+o7WauuvPPoS8iEoxlZhcaKCoIgyIhWzZ3SNbi1clEqk4VM/yUnN6+El0AQBEEQBEHVlaEThP379wcAbN68uRyv3bp16+7du1XX0Gi0fv366ScyqMIoioqOjt68efOiRYt27NgRHR1t7IggCCodDalnja3UHEpIgrw84je9DiVEUIc+WLO9iJlbsdWknEzYS7yeB6TZetpRKVC7BuL+qygHL9WVVG669OBc4vNTw8SgF7XatPKcP51hXaxyoyg1PW7d9txXNX20lmUdq8HrRjYfHKh25++He+9OLjyU8zXLWIHVBLb2Zgt+79t3dFO1g//87pfVk04lxGX+6IUQVBmc61mdDh/Rokk91ZXxH7MGjDkc9xF2BRAE1Tgoih75ba2L4/dSTMnpGSPmLiEIA92uB0EQBEEQBFUdhk4QBgcHBwcHR0VF/fbbb7q/SiaTLV68+Oeff1ZbHxYWZmtrq9cAoXK6c+eOv79/YGDgL7/8smHDhtmzZwcGBvr7+9+9e9fYoUEQVCrFUMI1dKSB2hMS6gkfXyClnutrTwjXBWu2B60/BiDFvoCo3Jf4k9FUxnV97ahkFJNH9F1M8+tSbKVUJD21Wv745I9eVQVxnet5L5pt7uWuupKQSBL2H04+cZ4iCGMFVhWgGNo8JKj34sEcS67q+rxvuaeXHnl1/gmlnI0S0jcUQ/uObjZ3Uy8Lm2LVHXMyCjfOvnDh4HN48CFDsrJgH945tH8Pb9WVGVmFIROO3nqQYKyoIAiCjMXa0vzY7+sY9O8Tgd988GT9nweMGBIEQRBkWhISEpYuXRoUFFSvXj03N7euXbuuXLkyLS3NkDEkJSWtWLEiODjYycnJ1dW1c+fOS5cuTU5OLut2BALBlwooKtL1rvqHDx9OmzYtICDAwcHBx8enb9++e/bs0f3lVVlWVtbGjRu7dOni4uLi7Ozcvn37n376KT4+3pAx8Pn8rVu3duvWrX79+k5OTu3atZs9e3ZsrD7vnn///v2oUaNsbGyEQpOZpUgXhk4QIgiyfft2FEXnzZu3evVqHMdLbk9R1PXr11u2bLl+/Xq1a0lmZmYbN26szGAhnVAUtW7duk6dOsXGxoaGhsbHx+M4/vHjx0mTJsXExHTq1An+mSDIJNAQR2tshbahhPl5xPZ84g8S6KkaG0JD64/FArYCVrEKkAAXEnFribcrAG6Qsm8YndFrLqPHTICqVOmkSPntcNmFzQA3mUKINB7XbcZ4h15dgOpoLYrKuv3g4+/75PkFxgutSqjn5zJk02gn/2J1dAk5EX3s3qV1p0R51epXXVXj3bTuyv2DfVoUG7lFEuSFgy9+++VyvkBkrMCgGojBwLat7jN7UpDqSpFINumn04dPvjJWVBAEQcbSwt9n06I5qmtW79h37d4jY8UDQRAEmYq8vLzJkye7u7uvXbv20aNHqampnz9/vnHjxqpVq1xcXGbMmCEWiys7hsLCwlmzZrm6uq5evfrBgwcpKSkJCQlRUVFr165t0OB/7J13XBPJF8BnNxVCQhUEVFQsWLE37GfDDtZT787u3dnu7L2e/tTzzq5nOZXz7Ipiw145bKigoiBSpKhACCEJqZvd3x+LSwgQQrIpi/v98MfOMLvzstm8nZk37726U6dOrZT9JiQkxN8MLl26VGEXSUlJ33zzTefOnffs2RMXF/fp06f4+PiLFy/+9NNPvr6+ehETqYVarV69erWfn9+iRYtu3rz54cOH9PT0e/fubdmypUmTJiEhIUKh0NIyaDSaDRs21KpVa968edevX09LS8vIyLh///727dubN28+cODAz58/m9lFfHz8999/37Rp0yNHjohEoiq249naBkIAQKtWrbZt24Zh2MqVK5s1a7Zr167U1FS9Njk5OVeuXFm5cmVAQEDfvn1jY2P1GsAwfPDgQW9vb2tJTVMuy5cvX7p0KYqiEydOPHbsWEBAAIPBqF+//t69excsWKDVahctWrR161Zbi0lDQ2MMDB48yJ2xkQ0F6P3jS1bCp2T1BLm2YrY7DFXvo1eP5dxFnkzC8vXVvoVgtgjmjFgFcUt4mCHxd5THF2OFlMnFAsGwz8A+9X+ewOSV8NaSJqXEr9siSUiylWB2gqMzb+Di4Z1/6AkzSgx7Ml6mnVoQlvEyzUZyfRXwXRxm/6//6OmdmMwSN//Ns6xVk8+8fkKZxJ80VQAIAr9M7bxpRX/dp1GLYis2Xl+9+SaKVqk5Hg0NDU2FzPh+1HchA4giiqLfzVmWlvnRhiLR0NDQ0Ng5b9++bdu27b59+1AUbdeu3c2bN1UqVUFBwe3bt7t27YogyK5du9q3b5+SkmI5Gd6/f9++ffsdO3YgCNKyZcurV68qlUqpVHr//v1evXpptdr9+/e3adMmISHBmKslJCQ8ePDAHHmaN29uuMGFCxdatWp1+/ZtAMCYMWPi4uK0Wm12dvbRo0f9/f0lEsn06dNDQ0PlcurtoM3JyenZs+eqVauUSmXdunVPnz4tk8kUCsXTp09HjhyJYdj58+cDAwMtmoZMJBL17dt38eLFcrm8Vq1ax44dk0qlSqXy+fPnY8eOhSDo8uXLgYGBd+/eNe36L1++/P777wMDA48cOaKtomG6IFsZPFesWLF27Vqi6OTkJJPJ+Hw+k8kUi8WGpYIgaMeOHdOnT7e8mDQVcOrUqVGjRgEA/Pz84uPjebwSi+xqtdrf3z8zMxP/NQYHB1tTtlq1amVkZAAAOnXq5OjoCABgMBjt27dfsWIFg8Go6GxzQRAkLy/P2dmZy+Vaui9yUSqVBQUF7u7uTCaz4tb2hFwul0ql1apVg2EbbH0wB4lEolQqPT09K25qPTAFekeKHsWASu8fXKg9n/EDDAQAgKSkJABA/fr1y7iA8T3l3NUm/gE0eo5uEFwjFK73E4BZZZ9mHjk5OVwuVyAQFMkg+qg6sxrNK2GrgPgenOEr4Or1LCGAyWRnZ/N4PCcnpzL/qxaJkw8cKUwtEVIDgmHv4G/0XQyti52oxJz3n65vvyTJLmn6hUDzfq06fddDz3yIQ12VmJ2d/enTp+bNm9uJSkxLzN279mbuxxK/dAgCPUOajvyxI0PHYCORSNRqNRVjyItEIgCAm5ubrQWpNHoqkSqgKJqbm8vn8/FhnvH89+TDzwvPSaQlXnD9ejb4c81AB65FXjp6yOXyd+/e1a1bl3L3nLoqUSaTFRYWenl52VqQSiMWixEEoaJKFAqFTCbTxcXF1oJUmpcvX7q7u/v6+tpakMphmkosVCg6hv7wJql4GbdtYJO7x/dz2GwLyFg2arU6Pz/f1dWVbcVOSYG600/qqsTU1FSVShUQoL+Z1UwQBFm1atWTJ0/wpcjCwkJ8Ldvf3//9+/fk9mUrFi5cuGnTJgDAxo0bFyxYYGtxaKhKXFxc9+7dxWIxAGDQoEFnzpzRVd0oin733XfHjh0DANStWzcqKsoSjj1v377t2rUr7pTWu3fvCxcu6C4yYBg2derUAwcOAABq1KgRFRXl5+dn+IK//PLLtm3bTJanWbNmL1++NNAgLCxs4sSJKIoCAH777belS5fq/jc/P79bt254GMzg4OCIiAgWyxrzEVL4/PlzUFAQbgwODAy8ffu23lx47dq1K1asAAA4OzvfvXu3RYsWpMsgFAq7dOmCG4MbNWp0584dvbfbn3/+OXfuXAAAj8e7efNmhw4djL94bGzs+vXrz5w5U9pQJZVKy1uXIwU3N7f8/HwAgEgkcnV1tVxHODYzEAIAwsPDp0yZgi+mGI+Hh8ehQ4cGDhxoIalojCcvL69x48Y5OTkAgO3bt8+cObN0m3Xr1i1btgwA4O3tnZCQYM11EAcHB6VSWbr+2LFj33zzjaV712q1IpFIIBBwOBxL90UuKpVKIpG4ublZwYxKLgqFQiaTeXh4QLazgpiGTCZTKpX2uPQDCzHeScAqlZ8JdYIUg4GqDe7/XadOnTLOrQwMjdAxcyerMF6vXsupKas5W8utYDxnAkKhkMvllnidqwodbu9mfCwhA8bkqLpNQWq3IV0Ak8nNzeXxeIaWfrTa/Ov3pI+e6VU7NKznHhoM28g+Zz8qUaNQPz/xMON5ml69q59Hh/FdeR58vXrqqsTc3Nzs7OwmTZrYj0pUKjTn98e+jM7Uq6/h7zp6Vls3r6I9RjKZTK1WU9HMhk+VqbgaXoZKpAIYhgmFQicnJwcHh8qem5El+XXVjYysEhbrJg2rbV75jZtLpa9WWRQKRXJycu3atSl3z6mrEuVyeWFhYbVq1WwtSKWRSCQIglBRJYpEIiaTSTkrOADgzZs3bm5u1atXt7UglcNklZicntV/0mxpYbHXwoRhg9bN/YlsActFo9GIxWIXFxcKLYniUHf6SV2VmJ6erlar69UjeQdnZGTk+PHjS9c7OjpWmSxTtIGQxnyysrLat2+PZxn08/OLi4tzdnbWa1NYWNi8eXPcYtSsWbP//vuPz9efYptDdnZ2x44d8ZUob2/vly9fll5JUyqVrVq1wrPfNWzYMDo62sA4SqFQ1KhRo7K2CV3WrFmzfPny8v57+/bt4OBgtVoNABg0aNCFCxdKt4mPj2/VqhXeZty4cUeOHDFZGGsil8u7desWExMDAODxeC9evCjtPIBhWK9evXDXSS8vr4cPH5q/fqiLUqns3bt3VFQUAIDL5T558qRZs2almw0aNAgPA+vm5hYdHd2wYcMKr/zhw4cpU6ZERUXh7qGPHz/Wa0AbCMkkPT1906ZNhw8fNualy+Pxxo8fv3TpUjqyqJ2wYMGC33//HQDAYDCys7Pd3d1Lt8nOzvb19cU9cJctW6brNmppnJ2dJRL95FtcLve///5r0KCBpXtHECQ/P5/P51PRg1Aqlbq6ulJubzg+z3F3d6fcFk77dpfBEEaUinkGQPquhAxts8/JnbUaJ39/f1I6Yny+wMo8BFBNiWqYjfiORaqHAojMr1UoFLLZbP1FKwyFoo9DzyNKtoWwVoOxTmNs6H6nS25uroODQ4UDkYLnLz+fvYSpS9xMtoeb7/cjOd422CxsbyoxOTrx8b8PEFWJ+8NyYHf4vluddiVWHKirEnNzcz99+tS0aVN7U4lPbqec2fNErSoRmoPrwBo5vV2rrrUBABKJRKPRlDmosHPwEbwVhu+kU7ZKtHtQFM3Ly6tgz0T5iAuUs5ZdefHqk26lb3X+7o2D6vpZ9kuUy+Xv37+vXbs25e45dVUiHuyIiqvhBQUFCIJQUSXm5eUxmczSS4f2z+vXr93d3Sm35mCOSrxy97+xvy7TXRravWbRmMH9SBWwXNRqdUFBgbOzMxU9CCk6/aSuSvzw4YNKpSJ9Pef169fdunXDV+d1cXV1NcdsYFfQBkIaM8EwrE+fPjdv3sSLJ06cwOPJlebIkSPff/89fjx+/PhDhw6RKMaQIUMIG9vBgwcnTJhQZrOzZ88OHz4cPx4xYsSpU6fKu+Dhw4eJi7i7uwcGBlarVs3V1dXwACYlJeX06dP48du3b8tza87Pz2/cuDGe/Y7FYr1//75WrVpltpw6der+/fvx4wMHDkyaNMlA73bC7Nmzt2/fjh+vXLly1apVZTaLiYlp27YtftypU6d79+6ROI9YvHjxhg0b8ON58+bhRorSxMfHN2/eHHfibNmy5aNHjyoccshksqNHj3777bf4fG3btm2//FIiczNtICSf/Pz8M2fOREVFRUdHl/bf9/Hx6dy5c9euXUePHk3FqVFVJT8/38/PTyqVAgCCgoJwc32ZtGnT5tmzZwCAatWqZWZmWm3cX69eveTkZABAWFiYj48PXunv70/uboXysJN4eiZA3eBR1I3xYpchRkugxXIl6H419kavHkO5KlEvv+qjyeoIK0xF43/DZPovAsitNaPREsAhzYZqIJ4eEndNfW0X0CK6lYyAzpyBcwDL9j9nwyFGdVF+zkne94/iU7ZuJcxi1ho11COovcUELBs7VIn5WXnXt17MS8/Vq2/YtUm3yb2ZnKI97NRVifYWYlSXz+nivWtvZiTn6dV37N1g3K9dVGq5He+ZMAQdYtTKmBxilEClRuavunLx+lvdSp4je9eGId061SVDxrKhQ4xaH+rG06NDjFqfryrEKMG8dX9uPXSMKDpwOVGnDwU2svi2WkCHGLUF1FWJFgoxCgBITk7GfZIAAGlpaVOmTAEANG7cOD5eP8gNRaENhDRmomtIq1OnTlJSUnnxJDQaja+vb25u0UT72rVrffr0IUUGIssVAMDHxyc1NbW8FweKorVr18bTTgEAwsPDQ0JCymzZsWPHR48e+fj4bNmyZdiwYUYGySDsUobji06aNOngwYP48dixY//999/yWr5+/ZpwfePz+UlJSXauoh89ehQUFISb3BwcHD58+GBg00lQUFB0dDR+vHXr1tmzZ5MiQ2xsbNu2bREEAQCwWKzU1FQDg7c+ffrcuHEDP163bt2SJUsq1ZdKpXJxcdGNU1jFDIR2MY5xdXWdMmVKWFhYUlISgiC5ubmJiYmvXr3KyspSKBRZWVknT56cPn06bR20K06cOIFbBwEAbdoYir/XpUsX/CA3N7dMZ2oLQQT66NSpU68vWMc6SENTxWBA1VwZiwXwRAiUsO5AsJLrcUms3awF5OyshHh1GG32wH5j9PwFMdEz0XjfewAAIABJREFU5PEPWPYtUnoxDDOwL3fMBohXYj1LmxCl/GceVpBjBQHIglvdM2DBTNdWJdJloxok7d8zqYdPoBpNeSd+Jbj6ug9fP655cCu9+sT78acXHyltOKQhkeq1XJbsCvkmtKle/cMb7377KfzTB3GZZ9HQkA6Hzdy2bvDsqUG6lYVy9aRfzx49+8JWUtHQ0NBYnw2LZndu25IoKpSq0TMXFUhlNhSJhsaa+Pv7E6tGHTt2xCspFzyWhsZCqNVq3Siao0aNMmBIY7FYI0eOJIrz5s3DzUhmotVqdY06w4YNM7CtBIbhb7/9liguWLBAU9YCSFxc3KNHjzp27Pjy5cuRI0caH0L/zJkz+IHuJ9Xj7du3hw8fJopjxowxcMGmTZvioSwBAFKpFM/bZ88sXryY+Fp79+5t2CV97NixxPGaNWtwu5f5LF26FLcOAgC6du1qeGuXrgwbNmzIzs420Lg0HA6HclvHKoVdGAh1YTAYHh4eDRo0aNq0qY+Pj/24GtDogWedxSkzwi9B06bFK4BhYWEWlImGhsaCQA5wT3fG/9iQ/pq+CovNQxYp0Nvk9AOzYf9pjMDNgFNyhIHItPFrtK9XAsTiSxVwjcbcCdvh6iVCTaI5KcpDs9D0V5bunUQYXI7/5HE1RwyGSo508x4/S/h9l0qo77/1tcFgMTuP/6bf3KEcpxKDjfysvDNL/n15RT+PIw2JsNiMb2cETV/Tl8cvkZby04f8rfOv/3dF342YhsZCQBD4ZWrnDcuDmcziaZFWiy773/XVm2+iqO1DrdDQ0NBYASaDcWL7Bm/PYl/VpLT0CfNX2kPEKRoaGhoa2/LPP/9kZhYnkh80aJDh9roug69evcLTv5nJyZMn8ShxJsjw/v17wqSny19//RUQEBAZGVkpl6Tnz58T4Q+JQKal2bhxI2FC4/F4PXv2NF7gsLCwT58+GWhsW6Kjo+/evUsUK/wuevfuTRyLRKK9e/eaL0NsbGxkZKRpMkil0p07d1a2R8plp64UNjAQ7t27t169em5ubtOnT1ep9JNa0VACmUz26NEjolheDGUc3fgP0dHR9ByDhoa6MKBqroyFAngiBBx06zEgl6AH87WbtIAcmxPk1prZ/jBUvbdePZZzF3kyERPHkdKLIQH4HtyxGxkNS7iVYAqJ8sQy5OUNS/dOJhDk1bNLw1+msZxLBLKTZ2S9Wbc1/wWV7J0Wom67+qM2/uAdUEO3UqtBosJuX/3jvFpOD1QsSMvOtVfuH16/WYk8Txq19uLhuN0rrhdK6ZtPYyVGDWl+aNsIvlMJc/XhE89mLI5QqpDyzqKhoaGpSlSv5v7vlnVMnV1lF27e23LwqA1FoqGhoaGxB3bs2EEcs9lsw2HkAABdu3bV9cYzwRhjWAYYhglP3/Lo1KkTh1M8ti8tg0wmO3369JkzZyqbL5mwNQYGBpYX8VgoFOr61bRq1apCD6gePXoQxyqVat++fZWSyprofhcAgKCgoPJa4tSvX79GjeL1lt27d5vvVLpjxw5d+0KFMvj4+DRs2JAo7t27t0ynUgPoPk5VD2sbCMPCwn788cfk5OT8/Pzdu3evX7/eygLQkMKjR48IN15QkYFQ1wlXJBIRgd1paGioCeQA9/RgbuJA+rEZ1djLPGSxAr0NABn7AJhOjMbLGE1XAya/RL0yW/viF/TddoBaOEgm24ETuoTVYwLQjS2j1agvb1FH7gCo1rK9k4pTvTpNls0RBNTXrdQqlcn7j6SfisDIiPhBaZw8BENWjGo7vBMEl4gjlPIk6dyy48LkykWfoKkUbp5O8/8cOPiH1nDJm/88KnX1lDNJrz7bSjCar43O7Wuf+Xusr3eJvRSRtxLH/Hg8TyS3lVQ0NDQ01qRb+9Zr5vysW7Nk044HT5/bSh4aGhoaGpvz5s0b3TR7TZs2rTBlrIuLi7+/P1G8devWx48fzZEhJSXl8ePHRLF+/foVpn9zcHBo3LgxUXz48GFaWppuAxaLdenSpSZNmlRWGGPii54+fVrX/tSqlf7qWWlat26tWzx+/HhlBbMOhYWFFy9eJIqOjo4NGlScsVjXqJyRkREVFWWODCqVKjw8nCgymUzd4IXGyJCbm3vz5s1KdUq5TMmVwtoGwnXr1ukWzXwgaGzFq1clnE4Mx+H19PTULcbExFhEplIQJszff/990RdOnDhhnd5paKo2MHB1YcyR5wzHtBZ2JfTszmz3N+QSWKIWQ9HMs9pn0zF5Oim9GOif1WEEZ+giwCqxVwiJjVSdXoUpCy3cO5kwnXj1Z072GdC7hL0Tw3LuRL3bulcjkdpONLsAZsBtRwQNXjaS51piplGYJ32w88azsw8xOtKgxYAZ8OAf2szdPNDVg6dbL8qR/T7n4oWwGDrMI411aOBfLfzQd80al4ge8+LVx9AJR5LTvvaYzDQ0NF8J86d+H9qvOAwaotWOnrnoYw6dm5mminP06FFi1WjLli14pe62eBqarxZdTzgAQKNGjYw5S9c4h6LolStXzJHh5MmTuu5iJsiAYVhERITufzkcTocOHSoryYsXL5KSkvDjESNGlNdMb/HZGIG9vLw8PIoDfScmJiYkJFRWPCsQERFRWFi8FNawYUNjcjfqfhcAgPPnz5sjw9WrV8ViMVGsW7euMSnq9L6FysrAYrEq1Z5aMK3ZmVqt1o0XDEqZx2mogu62C2dnZ8MbNxwdHVksFrF1IiMjw6KyERAZR/X8snk8XoWu6Oaj1WpFIhGCIJTzQVapVBKJBABgfHpeO0GhUMhkMgiCYNjusqsaRiaTKZVKyokNAMjN9GFkj6kZ8ARjldg0oMZeCTULYWV/SNUFAPNTuzNAzWUcx0iHz0d0vQYxaSLyeJLSe5zKo39lexGJRFwuV61WG9XaoxE8eDnn+lZIKiTqtCnPCg/OUPX5FXPxqVTXZiISiZRKpVKpNO10dodWnq7OwrOXUEXxFaRJKfHrtlQbNYRTy1JZl6miEjlejr0XD37yz4OPr4tfVagWfRb+KOP1h/bjuzo4O9pQvEohEonEYrFQKKSKbnGvwZ65seep3TEJz4rTLaBa9ELYs/iY9JEz2zq7ORg43R7AZynmx0uxPpVTiXYDiqIikUitVsvlpHn4wQDsWt93+ca79x5+ICrTs8TDJhzZuPyb1s29DZxrPAqFQiwW48KTckGrQd1RYmFhoVwup5zYAACJRELRFWqRSMRkMqkovFgshiDIzkcspSFRJW5aMPNVQlJSWtFYKFsoCp0259ye31lMiywfaTQasViMoijllt6oO/2krkrMz89Xq9VCobDippXh7t2748aNK12flZVFbkc0NFREN9scAKBmzZrGnKUXe/PevXuTJ0+2uQyzZ882WQac06dP4wetWrWqX79+mW2USqWuvyMAQDfApgECAgJ0Panu379fXghTG2Lad6Eb3hMAcO/ePevLUPp5qFSnVHxpGo9VDYRsNlsgEBA2Xg8Pj4ULF1pTABqy0DXyVejWDQDgcDiEgbCgoMBSYpWkzGE6BEFcLtcKI3gUReEvWLovcsFlpuI8B9bB1rJUDvxuU05sAAAMw5iWz1RMQbVPUE44BumsR0BK1CEcYiYzFRPI8FaHNZ6DUH5jh7QtsKp4ngZhaoePB5nKZEWt2ZWyEVb6IfeorQ5Zzbq2Bc5+X3yRgmyHC2tVAxdjHrWN79pMzH/InRrV5/w0PufEedXH4uCNiET6+eBxj6HB/FbNyBBTHwqpRC7foevPfRJvvY6LiEGR4kCyOe8+Xf9fRLfpfd38PAycbj9QUSU6OXMnLOp869zrW6cStUixmS05PnfHwlsTl3Sp4e9qQ/EqBL/VFLrhBBR97wMyVGJpeI7s31f23rL30fFzr4nKAqlq1rJrG5Z+062jn/ldUH2sRV3JKSc2oCW3BbTkAifevt+WBE+arVQVbWKIefV27c6/f5vzk9kylgEVRyw4VUByWwtSaSAIssQ7yMGh7F1oVLxFNDTkolKpnj17pltjpK3L27vEvrqHDx+aLAOKoo8ePbKtDAREZEsD7oMxMTEqlUq3xkgLVmmBp06dWnkZLUt0dLRu0cjvwsenxMb6uLg4uVzu6Gji9mtSZHj37p1IJHJzczNNhiqGVQ2EAICRI0cS7lx//fWXu7u7yZfSarVxcXHGhPGlIR2ZTEYcG/N71t0MqOsFbFE8PT3xfIfz588nnrTWrVv36tXLCr0jCIJhmLOzszFuznYF7srm5ubGtMwWUcshl8uZTKabmxvlxvFMJlOpVFLxtZSXlwcAcHNzA6AfCjpItAdVWIkkJRgrjst54gj3J6lDN1D9IPp+D5oVoZvmkCW6x/XqBHn3M/5CCIJwuVyBQFBxU93ef/hDHbkdeXWruE5V6HD/AHfyLjIcJY1Co9HweDxjdmYYws2t2qLZmecu59wp3p6GabXCc1fc/Gry69c1V8pSUE4ldhzZtV7bhte3XSz4lE9UqqTKqD03h68f5+RRqSfHNmg0GoVCQUWV2G9ki4aBPqd2xGRnFu8okhWojmx+uGLvcL6LvT9CVFTmJqlE24OiqFar5fP5Js8tDbB+6YDmjWss23Bdqy2yVavV2hWb7t04Pam6J9/wuRUil8sFAoGrqyvl7jl1R4lsNpvNZlPx5wnDMIIgVJQcRVEmk+ni4mJrQSqNQCBwcXGh3D0nVyV26eC2/38rvpuzjKjZd+Icg8HctnI+6eMK3Jfa1dWVctl9qDv9pK5KLCgoUKlUpEs+YMCAyMjIuLg4vJidnY1HGdVbTaah+Qp59eqVXvgiI40xXl5eusXU1FSTDUKJiYl4BAszZfj8+XNeXp45loi4uLjExET8ePjw4eU1K51ayzSB4+PjKymgxSksLHz79q1ujWkfTavVJiQkmGbTQRDkxYsX5suAYVh8fHyXLl1MkKHqYe1xzOrVq/Hvw8fHZ9iwYeZcKjs7u3379iTJRVM5dOOWlLfZShetttgJQ0+tWw7C+Xfq1KkLv2Ad6yANzVcIDFxcGHOcGT/BoGQKN/QSBlTlnVVpGFy44a+MwI2AXWJaiGaeIa0LQ72z2APnsnpOAlDx2xPNTdMmPzNwkn0Cs5i1Rg6p/d1IWGcDB4aiKQf+1RRYSUvbOdXqeI383/f+nUqEwpAXFF75/ZxGpSnvLBpS8K3jsvyvYR17l8h2np9beGD9Ld3kEzQ0FmV0SOC+zaGOjsUL1rJC1Zo/bhk4hYaGhqbK8O3gflNGh+rW7Dl6etrS34htEzQ0VYl+/foRq0aTJk3CK6t2QDkaGmPA/S50MdIZrlq1arpFFEX1ko4ZT0pKimky6Kb0wyHSB5oGEV+0TZs29erVK6+ZnsA8Hs/IbQ16N81MaS1BamqqXkIN638XGRkZRJBCW8lQ9bC2gbB69eqRkZFeXl7Z2dn3798351KllRSNTTDGHUT3p0u5jYE0NDTGw4WC3Jkb2VBxmEoUSOTodXJ7gdzbM9sfglyKe8GkSVjBKwOnkAir/TBO6FLdGuRJuHW6Jh2PTm0DFsxguxWHbdRIpMn7j2A6uzq+ZlgO7G7T+rQZF8RkF/vKCNNybu28TJupLA3XkTVpcY9Ji3uw2MVLM/ExmZf/fWHgLBoacunZxf/U/jEuguKxbuStxNsPTFzdoKGhoaEWW1fM69CyuW7NodMXxv26VK2hd0rR0HzFIIUAkdJ/9v6HkqOoS6+967lhlUfptWKRSGSaDGlpaabJUNqhxWQZcM6ePYsfGIgvCkoJ7OnpaeT19QQuKCjQ2tnKjD18FyY/k6Q/D1UJGwSHadmy5X///de/f//g4OCwsDADPrmGOXr0KLmC0RgPn18cW8kYbYWHDcGxRBgoGhoa+wEGzs6MaUJkDgaKfvhy9LIj3BsCpAYGZLnAdadpn88gKtDMcwxni+TPKw2jQUdGreba9Jd4UZsWi2Ynw17+1umdXBxr+NT/ecLbTTtQddEUQpaclhl+ueaIwbYVzH7wa+fv4u56c/slIq5typOkp6f+azeqs03l+iro2LuBWokc2fKAqIk4HFO3sWfj1kZFEaGhMZ8mDb0Wze6xaG0kUbN84/UOrSfpehbS0NDQVEk4bPbVsJ2hP867Hf2EqDx95YZMLj+1c5MDl2ND2WhoaKwPln0LTdmPKT7ZWhAa42DyYN/BcN3JADJ98T8rK0uvxshF3dIGwoKCgjJbVkhmZqbNZQAAvHz5MiEhAT82HBNRT2Djl8E5nBIvVgzDCgoK7CoctMnPg95HA2Z8FybLwGKxGAyGrhXDnOehimGbUOn+/v6xsbHTp08fM2bMhAkTPn/+XKnTEQTZs2fP3r17LSQeTYXoGggVCoXhxiqVSvfn5+zsbCmxSkJYJWfNmjVy5MiRI0eOGTNm69attNsHDY2lgYGLA9yDKKJARroTIQAAcmkG8YvDP2I594BKSHov5cFsXyLmEvLknNW6Jh0HX+/a40rsgMu+/SDvkX7c/K+Zuu3qtx3WSbcm5tzDd1FvbCXPV0W3QY079SmONYph2P51t8V5hTYUieZrY+Tg5p3a+hHFj58lf/4VZaA9DQ0NTZXBydHx/N4/+3YtMQqKvPtf/wkzJTL6XUxTRUBRdPPmzSO/MHfuXLxed6c7DSaM1savpa2DVAIpRD8cR5N2mXONwkJ9VW9MnilQVvQ4sVhMXRmATnzRdu3a+fsb2h2um5YLGC0tKEtge7NgmfxdlDYQWv95AKXusDnPQxXDqh6ESqVy9uzZujUtW7Y8fPhweHj48OHDjcl1L5fLhULh48eP8/PzAQCUywVdZfD29iaOKzQQ4l8WgZ+fX3ktySUnJwc/iIws3vR9/PhxX1/fHj16lHMSaWi1WpFIhCBIaSVo56hUKjxPJOUC7isUCplMBkEQ5TSDTCZTKpWUExt8+XULhWWZ5eDOgH8bQF+c0rQXFfktAWbsa9tI2M7fOEqLckQDDJG9P6n0GmXMiSKRiMvlmjXlc6nj4OoL5RftXULe3Jc2G4Q5mZ7v2khEIpFSqdTLE04CdWoK2reSPH5OVKQdPaviObC9jYrVUCFVQCXW6d4wO/VT+rMv4SwwcHvPVYwD3OsYGzDEyohEIrFYLBQKKadbZDKZ3m+z33eNk998zs4syo4pFSt2r7w6eXkXmGFfHw2fYOhlZaAEJKhEW4CiqEgkUqvVepNwSzD3x7YxsZlqTdGOt0MnYoLaVm/WyMSfv0KhEIvFuPDkyWgNqDtKLCwslMvllBMbACCRSBAEsbUUpiASiZhMJhWFF4vFEARRbsRiUZW4f93in1dsvHSneG/Eg6fPu4+efGLbOjdngZkX12g0YrEYRVGWTmJsSkDd6Sd1VWJ+fr5arS57+mkG165dmz9/fun6jx8/ktsRpUEzzwBA77anHujHi7D/NMAwMZ6T3pIvDMNGvh9Lz4lMNsaUXnY20mOMRBmA0fFFgRkGQnIFtgQkfhcm2z5NlqG0GPZmf7UhVjUQYhj2999/l45IKZFIDh48aE1JaMykSZMmxHFubq7hxnoGwtq1a1tCpNKUaXJmMpk1atSwQh5EBEHYbDaLxaJczkUURXHJjbHZ2xX4PWez2ZSbobFYLPy221qQSoNP48uR3F2j7YowbxWVIAXsGM3UBJMsgWdP7PMRCJHiJY7oJuo7GsAVLy6Q8vPEWgyA7uwrKqAIN+G2ttNYcy5oDOwvkH5lryH9NDlCRWo6XsQQJPfkBb9Zk2AjEs1WSNVQiZ0m9iwUXcxLLdp9giLa6P13gpeGOrrybCtkmbDZbCaTSVGVCEoqFjYbTFjcZcu8aypF0UJzyhvh7bOJ/ccF2kbEcjCoEu0aqv88rSB5vTrVJo1ptSfs6Zeusf/t+O/EXyOYTFN+XwiCMJlMSt9zyo0SNRoN/iaytSCVhsViwTBMRcnZbDaDwaCi5Pjbk3KSW1QlstnsQ5tW/bruj3/PF2+9fZmQFPrTgrN7NnlX8zD/+lRUidSdflJaJVpi4lyzZk29uHNEd+R2RG1UdLIuaoJqACI12UCotzXZwcEBgiBjTtSUylZrcjg3PRkgCCodO7RMSm/FM1mGV69evX37Fu+9wlxpKpVKt2i8+YrEm2YhSm9VN9L8Wfqjmbyt1mQZQKlHgopbey2EVad2Dg4O/fv3v3jxojU7pbEEugZCmUxWUFBgIHCobghZGIZbtWplWeG+4OXlJZPJAADbt2+vXr06XtmwYcPmzZsbPI8cEATRaDQCgcDI95b9wGazMQwTCASUW/phMpkQBAkEAsrN0AAALBZLIDB3+631cXJyAgCUJzkKhguR/zBQ9PJGWLdcHAbCgGRTCuozEE0/jh9DGhFfFQt5fVPhWUqlksvlmnvP2w5QPDmNFRbtgYDf3HLs8T3EsaytSKFQ8Hg8/M6TjuOP49+s36opKPLT0uSJhGcv1/txPDBuDmCAKqMSBy0cfmbpEVlekU1aUSC/v/t6yJoxLI7dLR8oFAonJyeKqkS1Wq338xQIBD/M7bbvt1tEza2zbwICa7YIqm1t4coHd5ShojInRyVaHRRFVSoVn8+3Tn7rX3/sdvNBalJKkddCUoro7JV3U8a1M+FSTCbTycmJz+dT7p5Td5QIwzAMw5S74QAAFEURBKGi5Gq1mslkUlFyJycn/AVqa0EqhxVU4qHf17i7um47dIyoSUhJGzjpl2tH9tSt6WvyZdVqtVarFQgElLNXUXf6SV2V6OTkZImJc9euXWNiYpKSkvBiRkYGHmXUx8eH3I4oDSQIwApTK25HY29wPADb9EBHeu8U40eApQ1CJr+e9E5kMBgmGylNloGIL9q+ffsK/V707FXG37TSFk3jTV/WofQNNHIjRemPRtbzYLwMCILoGVytM4ukBNYex0ybNs3KPVZhFApFeno6iReUyWQpKSnG+C+3bt2axyteBDcsRmpq8RgiICDAxcXFHCGNh3hhBAcHj/iCdayDNDQ0AAAY8B3hYlsdBuRy9Br5vdQIAVDxuwzNtGIuQAaL2XogUcJUcm0c+akWrQlLwK87cQyks8Yhfvnm07XbNhTJ3nB05QXPD2HqmAOFaTm3dl6hw+1YgXY963UZEEAUMQwc3HRX+FlqQ5FovipYLMa6xX11lyO2/BWVnmVfYX9oaGhoLAcEQX8snbN+/kzdytTMj73GTnuXSua6BA2N9WnRogWxatS3b1+80kgjxFcCXGcC4JjrLkxjbSAmo8EvugsmlYXP5+sW9XzjDECirUtPBgRBSvv7GimDyQahM2fO4AcVxhcFZtw0Ei2aFkLvo4Gy/PnKhMSPZrIMJD4PVQ9r7/0MDg6uXbt2WlqalfutYshksr///nvjxo1cLjclJcXMq+Xn5+/du/fYsWOvX7/Gbemurq4DBw786aefOnbsWOYpXC63d+/e58+fx4txcXHNmjUr7/q6Evbv399MaWloaCiEIzxQjt4inAjlaKQj3AcGpHq/cb0g9w6YMBovYQWvMGkixG9IZhflw2w1UPPwNNAUfUDNk3PMNoMATDG/Cl34Dfx9hwZnhl8marIuXHOsWcO5iZVuqf1TrY7XNz8HX9t6gTAKpjx59/TMf21HBNlUrq+CMTM7f3gnTE8qcuGSS1V719xcuH2IaWEeaWgqS9uWNUYOCTx5Pg4vKpSaFRtvHN5e8TIBDQ0NTZVhwbQfAABLft9B1KR//Nzj28mRh3Y2b9TAdnLR0NBYGK4Xs+0BNPMcJv9ga1FojAJiOUM+AyG+WZq5tK0LwzBjbOd4RDddXF1dSZEBAKBUKnW9VoyXwTSXldevXxPxRYcNG1Zhez2BjTRfAVJvmoUw2ThH1ndhJzJUPay9iAnD8OTJk5ctWwYA6Nq16+TJk2vVquXk5ATDsIEYlQQqlUomk+Xn54eHh+/du9fy8todUql09+7dmzZtEolEAIA6deqYecGTJ0/OnDkTzyNYrVq1gICA7OzslJSUI0eOHDlyZOzYsXv27Cn92wMAhIaGEgbC58+fjxs3rrwuXrx4QRyPGjXKTIGNh9gaMGvWLCIcX+vWrefPn0+5GCA0NBQFBnxHuE8hegEvYkAhRyOdYJLXUuEaodovBkIAAJYVAQUsILeL8oAc+MxmvZDnl4q6lgqRt1HMJt2t07uFqN6rW2FaRv7zl0VlDEs9dKzRotkcDzebymVH+Hdo2Dqkw7PwR0TN07PRLj5u9YMa2VCqrwEWm/Hjil5rfwxXFBa94lMTcsL3Px75U9n7mWhoSGfpLz3u/pecnVs0vbwXnXLp+tuBfejfPg0NzVfEgmk/OPOdZq7aSCTvyRaKeo6ddunvbR1a0gF7aKiHVqvduHFjbGwsXpRIihIuGO/387XAdoXrTrS1EDRWpVq1arpFDMNUKpUxeUNKR6fz8/MzTQYPD33XVSMNhGTJQMQX7dixozFX0LtpxhsI8/PzdYsuLi72Fgu6zO/CmBP1Phog+3mwsgxVDxt4OUycOHH16tXu7u7Xr1/ncDimXaRPnz4qlerff/8lVzZ7Ji8vb8eOHdu3by/9QJsGiqKLFy/etGkTAMDBwWHLli0TJ07E4/ampqb++uuvERERR48effLkyY0bN0r/ZkaNGrVkyZLMzEwAwN27d8vrBcOwp0+f4sft27dv06YNKcIbQ05ODn4QGVmcSv306dO1a9fu0aOHpXvXarUikUitVpv8kNsKlUolkUhQFGUwGLaWpXIoFAp8PwjlIoHIZDLjRwx2Bb5TgfitlQ3cDjhfB1DRByzUXpWLWgOU3BR6tVw4vrAqCy9oP90QOQ9HGYa6EAqFXC6XlNsO1+vm+OIKwIrWR5RRJ+TVGpt/2fIQCoUKhUIul1uuCwCAU3APWUaWJjcPLyKF8sRdf3tNGQuZmnSq6qnEOt0bZqd9znyeVlTGwK3dkSgbc/Wzl8A7QqFQJBLl5uZSUSWq1epyE4azwNApLY5vfUJU3Djz0qMGt2l707MfkQVb2sqnAAAgAElEQVQ+BcUzEVILElWiNcEwTCgUKpVKKyfnmDmpzbINd4niyk03AvydBPxKKDeFQiESiQQCAeXuOXVHiXK5vLCwkHL6EAAgkUgQBClXJdoxIpGIyWSWjuZk/+DjWyPz2dgPVlaJIb26AFQ7e+0fyJc4b2KJtM93Px/auKJL2xaVupRGoxGLxQiCUO6eU3f6SV2VmJeXp1arK5h+Vp5r164tXbq0dP2nT5/I7YiGhnI0aqS/DU4sFlevXr3CE0uvXdeqVcs0GRo31l9gEYvF7u4VJ1YkyyBUqfiiAIBGjRpduHCBKBqTyQtHT2A7NF+V+V0YcyKJBmN7kKHqYQMDobe39+DBg9PT081cJRw/fvxXYiDMzc3dtWvX1q1bCwoKSLzszJkzd+/eDQBgMBjnz5/v06cP8a86deqcPXt22LBhERERSUlJffr0efDggaenp+7pbDZ7zpw5c+bMAQC8ePEiLS2tzDStUVFRuHsiAKDMIZflYLFYpZddWCyWn5+fMbtdzARBEC6Xy+FwrNAX6eCSG59H105AURRBEA6HQzkPUTwYNxUfFTabDSqWnKtBeiCsL3Z6SMXgRbE0Q8mVBPEawE7fV9QDpnaU3EO8DUV+IPPnya2J1WkDpRSZK2BRukNeCuZrKRuhlRQLl+v7w6j0HX+jX7bNqj/nSK7d9Ro20PB55VElVWLnSd/cEF3ISyt6x6GINvrAneAloY6uFW9mtAJcLpfNZlNUJcIwbOBRadvdPzNJ/ODyO7yIYeDcvhd1Gnq5Vyd350GlwUe21H3IKSc5iqI2kXxQn0Y37qfdi07DiyKx4q8jsSvmdDP+CiiK4j9Pyt1zQNlRolar1Wq1VLzhKpWKyWRSUXIul8tgMKgoOUV/ntZXid8O7ufqIpi4cI1SVWQGliuV389fdeB/ywb06Gz8dfCXPofDwWcWFIK600/qqkQLjbXq1KnDZDJL7/GinNGahoZ0mjRpoleTlZVljIEQ321D4OPjY7IzXJky+Pv7V1YGV1dXLy+vyvaekJDw5s0bAAAEQaGhocacoidwVlaWkXFZ9QRu2NDu8rz4+fnxeLzCwkKiJisry5gT9T4aBEENGpgY/NbLy8vDw0MoFJopAwAgICDANBmqHraZ2k2bNm3EiBEajcac16350TUpwZUrV0aNGtWpU6cZM2YIhcJDhw6Rsg1z27ZtuHUQALBgwQJd6yAOg8E4cODAgwcPRCLRu3fvBgwYEBUVpWfT/fnnnw8fPvzy5UsAwL///otHjtXj4MGD+EFwcPCgQYPMl9x4PD09pVIpAGD79u3E26tJkyal9xpYAgRBNBqNQCCg3LCbzWZjGCYQCCi39MNkMiEIEggElJuhAQBYLJa9hQ4wBjx4b4WSYyBEiNxHQdEYQsu65+owFAakfl5eCPLxKECKumDnRTo2+MFALm6lUsnlcsm652jQSGVKsT8T+/VVTqMOpFy5NAqFgsfjEWGTLYhAwJzw7fu9YQArSrVX8OSFa4N6HkHtTLhYVVWJAxcNP7PkSKGoKNigQix/sOdGyOpvmRzbryYoFAonJyeKqkS1Wm345zludrePqQXJb7LxoqJQE7YpesmuoWyOLd9c+LoSFZU5uSrRaqAoqlKp+Hy+9dPLr18S3Hvk33J50Zg8/PKbYQMDO7Yxdls0k8l0cnLi8/mUu+fUHSXCMAzDMOVuOPhigaCi5Gq1mslkUlFyJycn/AVqa0Eqh01U4siB/Tw9PIZOnSP7EtxCpVZPWLD6wMaV44b2N/IiarVaq9UKBALKGQipO/2krkp0cnKyxMS5c+fOL168wHOMAQAyMjLmzp0LAPDx8SG3IxoayuHn58fn8/HFVZzMzMzWrVtXeGJGRoZusUMH01dIPD09PT09dV2H8Wh2lZWhffv2JnhOnzx5Ej8ICgoy0gmyadOmukU8dogxLo96AnfsaHd5NGAYbtKkyZMnxctfpn0XDRs2NCe9YtOmTXVjGRopQ3p6um6xVq1atJInsM04plevXmvXrjUznLePj8/Vq1fJEslu6dSp05s3b65du/bbb7/99ddf69atM/+aCQkJCxcuxI9dXV0XL15cZjMPD49Zs2bhxzExMcuXL9drwOFw/vnnH3wcv23bNt0XBs779+9xTerl5fXXX3+ZL3mlIPR+cHDwiC9YxzpIQ0OjCwQcHeC+RBEDKjl6meQ+GI5wdZ2NDspsLO8hyV2UD1yjMexbHHlD+/4pKkw30J4quAQ2qd6rq25N+slzhR+MGnt9JfBcnYLnhzDZxQvluanZt3ZHAsyGQn0VMJjwtBW9nATF9ubMlLxTe6z3q6f5yvGpLvhlShBRxDCw7H/XVGrqRZeloaGhMZPuHdpcPrjdmV+8dw3RaictXPX3qfM2lIqGprI0bdqUWDXq27do6krFKKw0NOQCQVDPnj11a/QsPeWRmpqqWzTT1vXNN9/YSgYiAaGR8UUBAM2bN9dLQ6hnmioTDMM+fPigW2OHBkJg0+/CTBnS0tJIlKGKYRsDIQRBM2fONNkB4t69e8OGDWMymXoPRJXExcWlZs2aRNF4fWSAqVOnEtbZKVOm8Pn88lpOnjyZSDHy559/vn79Wq9BYGDg9u3bIQgSCoXff/+99ksGAgBAZmZmSEiIQqFwdXWNiIgwOdi0yRC5Ok6cOLHvC0RCRBoaGmvCg/vBoFjny9EbKCAnnSoB5BsCQPEUDs08R+71DcNqF6JTwpAnVu3dcvgO7S9oVBz5AdUgyfvCEFmhgVO+NjzrVu/5c3+dRw8kP0qMCactVRbHzdNp4qIeuus2dy+8eXjjne0kovm6mDCmTdOA4iBFKR9Ee8Me21AeGhoaGlsR1KbFzX//quZW7Aqg1aI/Ll235eBRG0pFQ1MpHj16RKwaEfYAKuZ/paEhnSFDhugWY2NjjTlLzxgTHBxsjgyDBw/WLcbFxVlHhsTExPj4eAAADMPDhhnKYqMLg8EYOLBEchZjBP78+bNCoSCKnp6exnhqWh+978LI50HPQNi/v7FhBoyRwcjngVwZqhgUCw6DU7du3XPnzr19+7Z0rtQqj6+vL4PB0LXDVZYbN248ePCAKBpWcL6+vp07d7537x4AQKvVLlq06NKlS3ptpk2bxmKxfv755/Pnz7dv337GjBne3t7R0dFbtmyRSqWBgYHHjx+3yTdFuJ/r+j4yGIw7d+40a9bM0r0jCCKRSAAApfMg2jkqlUoikTAYDMoFj8KzxLNYLMrFeJFKpSqVinJBdQAA+ENuZEJgmN0dZRcpEAyoRYpzTJVRAdyNxtmB35whLRoZYKIYSXY8yvEts6lEIlGpVGRO+bwas5yrQwWf8RLy+raixRDM0YW0639BIpEgCFI6Q4blcA/tL9/5CSko8hFXi8Tv9oZ5TxgNVeaHVrVVokcjr8Z9A99cLR6VPjkdxRKw/dpWnBfBckgkEplMJhaLqagSNRqNMe+gWgGC7kMC7pxPIGqObHng7s31rGGbkFn4Q065Gw4soRKtAoqiEokERVFSwu+bwOKZQd/PPKdFi1yGdx162KW9b51aFWt+fMRSUFBAuXtO3VFiYWGhXC7XS5dACfD3PuVuOABAIpFQUWwAgFQqZbFYPJ5dZBQ2HtuqxDq+1S/s+zP0p/mfcotyAmEYNn/9lsyPn5bPmGz4XLVaLZFIIAii3GyIutNPSqtElUpl5PTTeJ49e9anT5/SL+WPHz+S2xENDRUZMGAADMPED+TZs2cVniKVSnWNMU2bNi2dR7BSBAcHs9ls4gVnjAwqlSoxMZEo+vv7t23btrL9EvFFO3fu7Otb9uJSmQwePPjQoUNE8fnz5+PHjzd8Cp7AiwD3jDK+R6vRrl276tWrf/5ctPYVFxdnzEj11atXxLGTk5OZxrnmzZvXqVOHeMbevHmDp8wwXgYOh6Nn+f7KscdHrUK8vb0hCPrrr7+2bdtma1msDZPJdHZ2Lp1X03jWr19PHHt5eVWoH3v27IkbCAEAV65ciY+PL63WJ06cGBQUtGrVqvPnz0+YMAGvbN68+YwZMyZMmGArjVamGVWr1ebm5lphbV2r1eKL+IQLJlXAxTbHCG0rkC9QboZGPC22FqTS4M+JsZJruwDmXQAXZWvTMu8DRTeAOpMoj9KtL09KGGkwxueLat+ylyTwEQzJ97xJb3b0kaJjrQa8vIq0GU7m9QEAOs856VcuFy6n2qghnw8ex5AitSB/nyq8cc/1my7GX6PKq8QmA1sWfMzPevklcggGHoXdc3Djufl5WFzEcvhKVGLvUY1SE4RpCUXLkWol8s/m6Onre7DYNnjScJmpqMwtohItD56bzYYv0Ab+riOHND5+Lh4vqtXatVvu7d00oMKAZIRiodw9rwKjRFsLUmkoLTmgpkqk6Mjc5iqxTg3vC/v+GDFjUVrWJ6Jy2+ETskL5b3N+MhCqEb/h1FWJVBxrUVexaLVa/FEn97K5ubllbtmh4i2ioSEdT0/PIUOGnDtXFCQpPj5eLpcbznf77Nkz3eHiuHHjzJTB2dl5xIgRR48WOaa/f/9eLBa7uBjalhcXF6eb2mzs2LEm9GtCfFGc4OBgX1/frKwsvGhMNDvdxH6AjJtmIWAYnjRpEpEBTS6Xv3nzpnnz5gZOycnJ0fXmDA0NNT9f8uTJk5cuXYofazSa2NhYw3kuJRJJQkLxxuJBgwY5O5O5Gkl1KGkg3LVrF4qiYWFh69evp9zOPvNhsVgmn/vu3TvdNJ5t2rSpMKh69+7diWMMw/bu3bt9+/bSzRo2bHj8+HGVSvXu3TuFQuHn5+fl5VW6mTXx9PTEwzePHj2ayGIdGBgYEhJihVDy+FDS2dm5wi0M9oZSqWQyme7u7va5V8UAcrmczWZ7eHhQbobGZrOVSqWHh80MCSaTn58PADBe8kK0vww9VVSAEI5LNB/+jkyB3IO1OUcwRdGqBEd8j9dkJmCW8ZpAUZTL5ZKc375TqOJFBKaQ4CV2wh3nb8YDFskaQKvV8ng8k2N0m4iHB2uYLP1kcS6ZgnsPPRrWd23R1MBJunwNKrH/3JDw5cfy0nPxolajfbj/zvD13/HcrPtlfUGr1apUKoqqRLVabbximflb8JqpZwtEcrz4Ob3g0qHXU5baIAo9fqvd3Nys37WZWEQlWh4URTEM4/P55s8wTWb53L5RjzMzPhbgxRevPt95+HHkYEMzZACAXC7Py8tzc3Oj3D2n7iiRy+VyuVwqjrVw4z0VJQcAMJlMw4t39omLi4ubmxvl7rk9qEQPD48Hpw/1Gz89/l0yUfn36Qswg7lrzaLyBiRqtRqGYVdXV8p5EFJ3+kldlYiH3iFd8lGjRuXm5hIpdfLz83GrgI+PD7kd0dBQlEWLFhEGQo1Gc/369aFDhxpo/+jRI+JYIBBMmzbNfBkWLlx47NgxDMMAACiKXrlyZcyYMUbK4OjoOH369Mr2mJiYiKsFGIZDQysX/orD4fz666/z5s3Di0+fPs3JyfH09DRS4KCgoE6dOlVWYKsxa9asLVu2yOVFE/BLly4ZNhDqfjQIgubPn2++DD///PPGjRvxED64DIYNhE+ePNHdCEKKDFUJa0/t4uPjyzQvGQM+l05MTExJSQEAFBQUHDt2bMqUKaQKSAHMGTcfO3ZMt9iiRYsKTwkMDNQtnjlzZuvWreWNgDkcjhWidxoJYUldu3ZtvXr1bCsMDQ0NAMAR7itHr6Kg6BWuQG85wgMYgLzFdAiGfAZhyfuKilo5+vk6XCPE4DnkweIwWwZrootiUGAKKfLyJrP1QMMnUQXP7kHy9Ezhw5iiMoal/XPK0bc6pxr1VhYsBIvL7r8g9OzSf+UFRTkaC/NlV34PD1n1LZNj+s4emgpxdnOcsrTnn/Mvo18iPT6+9b5RK9/OwQG2FYzma8CBy1qzqM+EWaeJmv9tvdOzs7+H21e3hZGGhoYGAODt6XHn2P4Bk2Y+jYsnKvefCJfIZIc3r2FRbW8BzVcCBEEzZ84kivHx8biBkHJGaxoaC9GuXbuePXvevn0bL547d86wgfDixYvE8YwZM0jZLdSsWbMBAwYQea/OnTtn2EB44cIF4njKlCmGjXNlcupU0e72rl27mrBdYOrUqevXr8dDAGq12oiICAMmDJlMdufOHaK4bNmyynZnTTw9PSdOnLhz5068eO7cuSVLlhhor/tdDB06tGlTYzeaG8DFxeXHH3/ctGkTIcNvv/1moL3uM9mnT5927dpVtkeNRqNbpGJIFQNYe3yWkZGxb9++itsZx65du2gDYaU4c+aMbrFBgwYVnuLs7KzrFv3p06dnz56ZELjZ+hDBqWfNmlWet0316tXXrFlDxZ2tNDRUBAIcR7i/DD2BFzGAyNGLfPgHEruAfQaiqYcBWvTzx7LOgRpDAbC40zAOs80QzZNzACnqXfMknNmqP4Aotqe4PGp9GyrP+iRPL3odaBWK93v/abRgJsymrV9F8KsJ+s0bErHmpFZTNFjMTcm+tTuy7y+DrfUMfqUEtPQdMK7VxX+Kc1Ec3RZVq55Hrfq0AZvG4nTvVDf4m4aRt4pynIglyt/+vL31t0G2lYqGhobGVri5CK4e3jVo8uzoZ8XpmU9eui6TK05s3+DApV7eO5qqh0gkWrFiRU5OTpn/JVxSdOMT0tB85WzevLlt27a4UeTChQtSqZTP55fZMjExkfAY8/PzM2w6QhBkx44dV65c4fF4EyZMMJwWbuPGjdevX8cXeyMjI0UiUXmxWz58+EBky/L29l61alUFH68sTI4visPn89esWTNjxgy8aNjH6dSpUwqFAj8eOnRov379ymtZUFCwcuXKS5cu5eXltW/fftWqVYY95yzE8uXLjx07hps/nz17lpiY2LBhwzJbymSys2fP4seOjo5//PGH4SsfPXr0xIkTGo0mJCRk6tSpBkIALlq0KCwsLDs7GwDw5s2b2NjY8vyglEolkU6Sw+GYlrFO741gk5TPloPaG7ji4uIePXpkk1+CDTE5PGZeXt6bN290a2rUqGHMifXr1ycMhACA+/fvU8JASIz2IiMjDTTTaDQmeJpXCIIgBQUFfD6fcpvO1Gq1VCp1dnamXPAopVJZWFiYnZ1NuRgvMplMrVaXNz+xZ/AovpWaOEGwr1tdHswscrGSa29nJtXTasiM/e3NbuWsLBqPYoUfUp+HF7L1RyoikYjNZlsiUGc170B+RlF8eUz8OfXmyUJvMv2q8/LyHBwcbBU8CuveETp1EVMWfeOKrE+xO/ez+3St8MSvSiXW698kMaI4wXjyo8TIfRE1g/wtI2C55OXl5ebmwjBMRZWIIEhl9+7Ubc2p9dglPVGMFzVq7Y7lV0bPa87hWu9dhi8nUS5oJLCkSrQoKIrm5+fzeDybxy7+dnDN+w+TC+VFmYoirr4JbMRrG1juPmWlUpmWlqZUKil3z6k7SpTL5QqFIjc319aCVBqJRIKiKBW3M4rFYhiGqagS379/n5ubiwfSpxD2oxJx/lww/df/bX8Y+5qouXz7QY/Rk7Yt/YXnUEJCfJRIRcVC3ekndVViVlaWWq02PzXg1q1b//777wqbffr0qcI2NDRfCS1btpwzZ87vv/8OABCLxbt37164cGGZLdevX4/HcoRheO/evYZTg02aNOmff/7BjyMiIg4cODBp0qTyGjdu3HjJkiW4ta+wsHDbtm2rV68us+WGDRtwRQFB0K5du0wYR7179+7Vq1f4pwgJMTEq1Y8//nj8+PH//vsPAHD37t3o6OgyA4eq1WrCE87d3X3Hjh3lXVCj0fTu3ZvIaHjt2rXbt28fO3Zs+PDhpkloMp6enn/88ceECRMAABiGrV+/PiwsrMyWu3btEouLJunr16+vU6eOgctu3Lhx0aJF+PG1a9fevXtnwKDo6uq6Y8eOkSNH4sV169YRNl099u/fj9sRAQArVqwICDAl1JBSqdQtEgbdqgHFRmCl2bNnz9dmIDSZ6OhoPFgzQc2aNY05sXr16rrFmJiY8lraFSwWS+/XWyYNGjSwRGJSBEFQFOXz+XYyQzMe/KZRcYbGZrNhGHZ2dqbcDI3BYCiVSiomyMW3jFVWckzeDQiuFBUgrbP3M20BmVFANdxBIL04xHk1JJpZTT96gEaj4XK5lliZ1bYcCDJiAChStu5pUcyAziReX61W83g8m2WXcXZWDe4rPn0RfHmboEmprDq1HNsEGj7vq1KJzl2ckQJ18t3iDNipd965+VbzCTTqnUsWarUaVyxUVIlqtdoElThyRut9K/6T5Be9+vNzFPfPpA+f3pJsAcsFH2VRUZlbTiVaFBRFEQRxcnJycHCwrSTOzmDady3/3PuUqNn7b3xQuzoO5din2Ww2n893dnam3D2n7iiRxWIxmUwq/jwhCEIQhIqSa7VaJpNJRQOhk5OTQCCg3D23H5WI4wxA2O8rZ6398+r9h0RlzOuEn1ZvPrxxhaug2O9ErVbjo0TKbSOj7vSTuipRIpGoVCrzJa9fv74xzSj3TNLQWJR169ZFR0fj5q5NmzaNGDGibt26em0iIiKOHDmCH2/YsKFv374GLpiamkpYB3GWL19uwEAIAFi2bFlUVNTNmzcBAFu3bh0zZkxpx7Vr164RwQtXrlxpmnmPiC/avXt3b29vE64AAGAwGCdOnGjdujXuD/Drr7/eu3ev9JLI0qVLExMTAQBsNjs8PNyAM094eDhhHcTRaDTjx49v1apV6e/C0owfP/7evXuHDx8GABw7dmzy5MldunTRaxMXF7dmzRqi/ezZsw1cUKvV6oUJ3bp169KlS8vzEwUAjBgxYvr06bt27QIAhIeH37hxo3fv3npt3r59S4RsHTVq1OLFi435dKXBE94RpKen16pVy7RL2SEUm9qVBv8J0RhDXFycXo2vr68xJ+pFaiZSN9s5np6eUqkUALB9+3Y9GyeBj49PUFCQJXpHEMTR0dHZ2ZmKq+EFBQXu7u6UW/qRy+VSqbRatWqUm6FJJBKlUmlCSHSbgy8UGrnVgAADI4TIQxQU7ctmOD7z4n/LgKqRJ1dNbUETrKAo8Qm38HkNDybkUGJIx+FwuFyuZRataqriW2uTizZSMIWpvrAM9m1E1tXZbDaPx7PlmnLNmlky+acrN4kK2a0o32ZNnOoZ2gj2tanEGj/WiJQhaTHvi8oYiDv5uE7jup51y34ZWQJ80apmzZpUVIlqtdrDw5TooD+u5G2eewnVFqUfj3/yqUVH/x5DmpAqYLng22MNTGDsFkuqRAuCoiiXy+Xz+TbbM6HD9Ek17j/6FBOXiRezc+XhkR8WzepeZmO5XC6Xy319fSl3z6k7SpTJZIWFhV5eXrYWpNKIxWIEQUxTibbFwcGByWRS0fcxPz/f3d3dyJmy/WBXKpEgYv+2qUvWhp0tTvzzMuH9uHmrroXt9vYseqrVarWTk5OrqyvljDHUnX5SVyUiCKJSqSo7/SzNwoULO3Xq9Pnz5zL/m5GRMXfuXACAyVYBGpoqCYvFunDhQo8ePV6+fCkSiQYPHnzx4kXCIQxF0d27d8+fPx/DMAiC1q5dO3/+fMMXzMjI0KvJzs5WqVQcTrnBqBkMxtmzZ3v16vX06VOJRDJo0KDLly8TJn8Mw/bv3z9nzhzchXHp0qUrVqww7cMSKbpMiy9KUKNGjatXr/bs2VMsFj958mTcuHEHDx4kpgASiWTx4sW7d+8GADg5OZ08ebJrV0PxmZKSkkpXFhYWbtmyxYDfoeXYu3evUCi8dOkSgiChoaFXrlzRjTh47ty5adOmyeVyAMD48eMrTDmXn58vk8l0a1AUzcjIMDy/3rZtW3Z29pkzZ1AUHTly5KVLl3TX+S9fvjxlyhQ80s/o0aMPHTpkWlzGS5cuffz4Ubdmz549nTp1otwAoDxsM7UTCAQLFy5s0aJFrVq1jB+/pqSkhISE9OnTZ9OmTcTXaUBr0OiRlpamW3R3dzfy5ru7uxu4jt1CPCTBwcH16tWzrTA0NDQEEGDx4IFS9MiXCm0hFiGAJpPYBewbov1iIAQYin28APlPI/H6hmG2CyUMhAAAzeNwTuhSq/VuBXwH9pF/yCyIL/KQw7Ta5P1HGi/5heVMsZVuywFBUO8ZA8JXHMtLL4rdhKiRq39EDF8/ztHZUIgVGjNp0Nx76IQ24QeeEDUndz+sE+BZuyGJWxBoaMoAhqF1S/sOHHtY8yUF6YGjTwf1bdSkIfWWX2loaGjIgsGAD2xYIXDi7Qg7QVS+SUrpNW7a1bDdNb1pDUljM0p7uhDEx8fjBkKT8/vQ0FRV3Nzc7t+/P27cuEuXLsXHxzdp0mTcuHEtWrSQyWQnT558/vw5AMDHx2fXrl1Dhw6t8GqNGzfmcDi6OWuaNWtW4Tq/QCC4ffv2hAkTzpw5k5SU1KxZM1wGpVJ5+vTpJ0+eAAC8vLy2b99OBJ+sLElJSbiPDYPBCA0NNe0iBC1btnz48GFISEhCQsLZs2cfPnw4duzYevXqpaenHz58GE/p1aZNm4MHDzZrVkF6Gn//shOXXL9+3UwhTQN3efz11193794tFAo7dOgwatSodu3aQRB06dIl3NFTIBCsW7eOyMVoAA8Pj1q1aqWnpxM1AoGgQYMGhs/C3TQXLlz4559/isXiLl26DB8+vEOHDiwWKzIyEk86xuPxVq9ePWfOnEpp9YcPHyYmJubm5j5+/DgiIkLvv8eOHYuPjw8ODq5du7anp6fJcWjtBNsYCA8dOmTCD6xu3brh4eEDBw6sWbPmli1b6Fd1ZdEz7Bm/EVVPO+PJgSi3cZiGhsZ+cIB7ytHLWiDCiwr0AQ8azIBI86GEPLuD97uBuuj6aNZFuPYPgGEl3zVG7Rawlz+anYwXte+isfyPkKuPdXq3BhBUZ8K3b/+3VZVX5AaqkUhTDh5rMHsqVFX2T5kPy4EdPD/k7NJ/FRI5XiMTSq5ujhi6ajTMoO+SBQn+tuX717ZGJxIAACAASURBVJ9fPiqaVyAa7V9rbqzYO9zRiWJ+CTSUo0Fdj2nftdt5sCiYnlaLLl1/7eyh7xgwPWehoaH5eoEg6M9lc9ks1h8HiN2BIDHlQ89vp1w+tLNBnaoTnouGhobma8DZ2fnixYsnT57csGFDbGzs/v37iX95e3tPnz595syZRgbJ8PDw+P3333/55Rfc4U8gEOC+dBXi5OR0+vTpc+fOrV+/PiYmRjelqKen508//TR79mxXV9dKfrJiiFR2PXr0ICXWV0BAQGxs7JYtW3bu3JmVlYWncsRp3rz53Llzx44dy2AwKrzO8OHDt2zZQkQZ9fT0VCqVEonkw4cP5gtpGiwWa+fOnSNGjFi9evXdu3ePHz9+/Phx/F/Ozs4TJ06cN2+ej4+xq2F79uwZPnw4nt6PxWLt3r3bmMDpDAZj8+bNoaGhq1atunnz5unTp4lv0MnJafz48fPnzzchHOiNGzcePHiAH3fv3r3MNjExMTExMQ4ODrSBsNKwWKzBgwebdm7v3r3/+OOPmTNnAgBoG2FlIRJy4hifnKB0RDg8uBA5YtHQ0Hx9QIDlCA+SokQSY60cu8GHxpLWAcyCfQahaV+uj0gxYTTk1ZO061cEs32o+sKXMR+GIbFXWT0mWq13K8DkOfpP/T5h8y5Ug+A10nfJophY93atbCuYXSHwdO43d0jE2lMoUuRR9PldVsKdV417VZCykcYcIAhMXNRjzdSzopyi+CTCT9KrJ2JDJ+vnIqWhIZ2Zk4Mib79LTsvDi3Hxn46cej5+dGvbSkVDQ0NjWyAI2rhotrury5LfiwOgpWZ+DBo+/vSuTZ1aNbehbDQ0NDQ0JjBq1KhRo0YlJSU9e/YsLy+Pz+c3adKkZcuWlY24OHPmzI4dO167ds3BwWHEiBGVCiAcEhISEhKSkpISExOTm5vL5/MDAgJat25tjKXNMF5eXgsXLgQA9OnTx8xLEXA4nEWLFs2fPz82NjY+Pl4qlbq7u7dt27Y8p8AyYbFYUVFRx48fT05ObtGixYABA3bs2DF//nyb20e6det2+/btjx8/Pn78+OPHjzwer27duh07dmSxWJW6Tv/+/f/P3n0HNHG2AQB/LxsIG9moDEFAxYkKbqvi3qOt237urUWrdeJuq1Vb62ir1SpqVdyCe+HAvQURQYayV8hO7vvj8HIECAFCLoHn99e9x93lIYTL3T3v+7zPnz+PiIiQy+X9+vWrcEglVVBQ0MWLFz9//nz//v3U1FQej0fEUOXak1WuT2uMaEgQOjs7V2fw2fTp048cObJ161ZLS8tVq1bpMLBajyj7S9I+QVj6/zkvLw8ShACA6jBhdBEqz5CDCGV4gubtK4vhMkCZdADhxVOR4YI4vSYIfTvKru3FC7OIpiLpWeUui4yBaX3X+qOGJB44Sq7JvHUPEoRqnBq7dp7U49quSHLNG0gQ1jy+BW/q8q82zT0tlxefAW6dfztgfGsWC8ZugprF4TBXL+oxevphHC9e89OOmz27NHJ2hArMAIC6LnTKOB6Xs2DtZvzLKTI3v6DPhFm/r17cp1M7emMDAABQBY0aNSLn/6uy1q1bt27dusq7e3h4eHh4VDMGNZMmTdLtAUlMJrNVq1atWlW9+yCHwxk3bhzZtLS0RAhVf2ZWnXB2dq7+QDovL68KZ6/UwNHRceDAgdWMoQ7S94MSf3//zZs3V+cIDAaDSOGGhYWdPXtWR3HVCcQQXZL2CUK5XK62Jj8/XzcxAQDqKgyx2Zgv2VTg6Ro2rgquHcZTzWuCC9M0bKt7DBazUVuypUxPQDKxXgPQC7ugNpZNVX9EwftEcXomjfEYJt9uTb3a+5DN9PhPuak5NMZTR3j4OfQaqUrEFuaJHt/UcS8EAMoU1KbB0H6qvq5CoXTZBnomBQEAAEMze/zXu9ctY1JqrUtlsslL1vz8579k1hAAAAAAWnr+/DlCqGvXrnQHAoybvhOEbm5u1Z/es3v37nZ2djiOz5gxQ6FQ6CSwukAtz2dqaqrljjKZTG0NTEAIAKg+JqZK4ClRHo50nULjUQqdi/WbIESI4aLKnCGlQpEWp+cA9MO+U3tVA8ez7sTQF4vh8u1WonZW7M1XdEVSp3QZ4M+gzP1248xrGoMBdcrSed1sbVSX2Vdvvz936S2N8QAAgOGYMHzA2b+2WZrzyTU4jm/ZGz563o8isYTGwAAAAADjIpFITpw4gRCaPHky3bEA42aUpZYYDAYxhPnjx48XLlygOxyjYWZmRm1qXxhaKpWqrdE+uQgAAOVhURKEqAYGEWImqgQhLtJ3gpDp6kdtKlNrZ3LCws+HY21FNrPvPcKh404prk0b8G3NyWbszZe4ErrJ1zjrembN2jUgm7HPPqUl5tIYD6g7rCx4P87rTl2z8qfL+QW1cBw5AABUQY8O7W4c/rOBixN1ZcTFa1+NnpqRDVUWAAAAAK1s3rw5LS3t66+/rk7NUgCQkSYIEUIFBQXEwvnz5+mNxIiYm5tTm2oVRzUoPYIQEoQAgOpjIkdqU450XWXUxIVy9CIk02ttZMzKETNXzdWqTKmdCUKMwbBtp5owQFZQmPfiDY3xGCYMw7w7qhLGRTmC1FcfaYyn7ujc35favHkOPpxATwb19uvW0ZNsZuUUrd92nb5wAADAsDTx8br9395WTUt0p7v/9EXw0PFv3n+gKyoAAADAWFy/fn3VqlWenp6//fYb3bEAo2eUCcLExMQ3b96Qy7TGYkzUEoRisbYdmdVmHMQwzNbWtryNAQBAS0ysRIJQgX/W7fExU2dqExel6vb4FaJWGVWmvkG1dG4Vu6A2CFMVcsyKhiqjZWjcpSm1CVVG9aNJoJudk+ri505UrFSiPq0yADVkdWhPU1MO2Tx66ll0TBKN8QAAgEFxsre7emjXwB5dqCs/pKR1GjHp2t0HNAUFAAAAGIFTp04NGDDAzc3t6tWrNjY2dIcDjJ7xJQjlcvmcOXOUSiXRFAqF9MZjRFxcXKhN7UcQ5uXlUZtOTk5cLldnYQEA6ioGMmMg1QQkihodQYgQEuo7QcikJAhxcZEyu3YOGuPa2Vj4eJHN/FdvpTl5Gravm6ycrO09VRnxhPtxMpF6+W6gcxiGdeqr+jcUCqQPrr2nMR5Qp7g4WcydHEw2cRz9uCFKIoUUNQAAFDMzMTm246elMyZRV+bmF/QeP3PXoeN0RQUAAAAYrHfv3n3zzTeDBw8eMGDAw4cP69evT3dEoDYwmgShWCx+9+7dgQMHOnTocPr0aXK9h4cHjVEZF39/f2ozKytLyx1zc0vM2dOgQYPytgQAgEphUqYhlOt8BGHJBKH+pyFkqE1DWEurjCKE7IIDVQ0cz773kL5YDFfjzk3IZZlE9v5+HI3B1B0d+/iy2Eyyef10rf03BAZo4jdtmvqqegYkfsz97a+7NMYDAACGBsOwpTMm/bR4NpvFIlfKFYoZy9fPC/uZ7BcOAAAAgC1btjRu3DgzMzM6Ovrff/+1tLSkOyJQS+g7QRgZGYlViYmJibe399ixY+/fv0894IABA/T8KxgvtQRhWloarl29O7VUYpMmTcrbEgAAKoU6DaEC1/UIQqYJYluRLRpKjDp6IrZqvLUypdbOf2bdvCmLb0Y2s+7E1NZ6qtXRKNiXSclUxd54SWMwdYe5Fa9Fh4Zk88PbjKS4TPrCAXULk4FtXNabxVLdcP2x797ruAwaQwIAAAP0Tf9eETt/sTTnU1du/+fwqNmLhSJtJ0YBAAAAarfAwMDY2NhLly61b9+e7lhArWI0IwjL1LZt2/79+9MdhdFo1qwZtSmVSjMytHpCkZRUYsYUOA0BAHSFOoJQifJwpONHAJgJZRpCvY8gRAwWw7ER2VLU3hGEGItpG9iSbEqycwti42mMxzBx+bwGLTzJZuqb5IJ0qMWqD136lxjLe+NsrU3VAwPk620/4evWZFOhUC5ZG6lQQhcKAAAooVtQm5tH/mrg4kRdeSLy6lejp6Zn5dAVFQAAAGA4goODvby8Kt4OgEoy4gRho0aNjh07xmQyK94UIIQQ8vb29vT0pK5JTEyscC+ZTJaaWmLYTVBQkG4DAwDUWSxKghDVxCBCU1WVUf2PIEQIMSlVRvHcNLwoV8PGRq1ElVGEsqJj6IrEkDXuTBnKj6O425Cp0gef5s7ODa3J5v0r8SIhTAAJ9GfelA4NXFXD2Z+9+nTk5Asa4wEAAMPk7+0ZfWxf62YluvXEPHvZYdj41/EJdEUFAAAAAFC7GWWCkM/nL1y4MCYmxtXVle5YjIxaRdbHjx9XuEtSUpJCoSCbjRs39vHx0X1kAIA6iVpiFCEkRzU5DaE0BylEuj1+hdSnIUyttQkhE2dHM3fV/Ni5T1/IBUU0xmOY6rfwMLVU1WKNvfkKwTgivejY15dclohk9y69ozEYUNeY8NjrloZgmGrNll13snL0/X0EAACGz7Ge7fXwP0f260ld+SElLXjo+Mgbd+iKCgAAAACgFmNVvEmNadCggY2NDYNRcZLS2trazMzMzMzMx8enZcuWwcHB1tbWFe4FShs0aNCWLVvI5qNHjyrcRS2JOHLkSN2HBQCoq5hYiQShAk9HWHnbVkWJBCFCuOgTxvfQ5QtUhOHqhzCMnJBPmfKG6V1rB2HbBQUWffhILONyRXbMY4duHekNydAwmAyvIJ/nF4q/WPM/536KS3XycdG8F6i+4F4+EX/GSCVyonnt5KuuA/017wKADgW1aTCwt//J86+IplAk23ngTWBr+BACAIA6Hpfz75a1Ph4NV2/bTa4sLBIOmjxvy/KF074dTmNsAAAAAAC1Dz0JwsDAwCNHjjRs2JCWV6/LOnbsGBAQ8OzZM6J57969Cnd58OABucxiscaOHVtTwQEA6h4GMmMgvhIJiKYC6brEKHUOQoSQKBXpN0GI8fgMG1dldjLRVKS+Zuvz5fXLtk3zlONnFGIJ0cyKjoEEYWk+nZuQCUKEUOzNV5Ag1ANTPqdNV8/oyFiimZaUG//ys1cTR817AaBDyxd0v3n3Q06ukGg+epF5+VbCkL7N6Y0KAAAMEIZhy2dPdnNynL5snUxe3LlHrlDMWrExLiHpl6XztellDgAAAAAAtEHPddX+/fshO1hlOF71emQYhi1atIhsvnr16t27Cqps3b59m1weMWKEh4den60DAGo9JmUaQjlekyVGEcJFabo9vjaoVUaVn+KRvNZOfsbgcq1bBZBNUdrnog9JNMZjmOq5O9jWr0c24++8lUvlNMZTd3TuX6Le740ztbbeLzBM1pYmS+d2pa5Zv/VWfoGYrngAAMDATRg+4Oxf26wszKkrt/9zeOSsxUIRnDwBAAAAAHSDhgShm5sbTGJXHVKp6uGyTCar7O4jRoxo1KgR2YyIiNCwcWpqakxMDLHMZrOXLl1a2ZcDAADNqNMQKnSdIEQca8Q0VTVFqTo+vhZKTEOokCk/x+s/Br2xCwqkNjOjH5S3ZV3m00lVV1AqlCQ+rM0fCcPh4WvfoJEd2Xxw/X1hHjxeBHo1pG+TDm0bks2sHOGm327QFw4AABi67sGBN4/81dC1REWQiKir3UdP+ZyZTVdUAAAAAAC1CQ0JQltbW/2/aG0ikUjIZWqyUEtMJnPbtm1kc9++fUqlsryN9+zZQ/50wYIFfn5+5W0JAABVw6KMIFSifBzp+JE9ZuJELtMzgtDFl9pUpLzWfwx6w/doYOKk+oPmPHxKVhwFJO9Ofgym6gLs7Y2XNAZTp3Tqp/pnlMsUdy7G0hgMqJvWLw0xNVGVmg6PeHrnAYy0BgCAcvk18rgXsT+4dYmCzA+evWo7aMyzN3F0RQUAAAAAUGvoew7CoKCg8PBwPb9obYLjuEAgIJsCgQDHcQzDKnWQkJCQCRMm7N27FyH05s2b48ePDx9exlzf6enp27dvJ5ZbtGixfPnyagQOAABlo5YYRQgp8HQW1kCXL2DijATvi5dpGUFo64KZWuLCfKKprNUJQoSQXVBg8vEzxLJSIsl99MwuOFDzLnWNqaWZa9MGH59+IJrJzxOFuUWm1mb0RlUXtPuq0bFd90XC4s5V10+/7jm8WWUvogCoDldny9n/C96w7TrRxHH04/qLFw5P4HLomRgeAAAMn5211cX9O75bvDr8dCS5MjU9o/PI7w5tXdenawcaYwMAgLrs0aNH165dS05O5vF4DRs2DA4ObtasmZ5jePbs2ZUrVz5+/Mhms93d3du1a9eyZctqHjMrK+vmzZtv377NyckRCoU2NjYODg5t27Zt2bIli1Wti3aZTHbjxo07d+6kp6fb2dm5u7v37NnT2dm54j2Nwbt376KiohISEnAcd3d3b9myZXBwsJ5vtxMSEqKiouLj4xUKhbu7e/PmzTt16qTDGHAcP3Xq1IULF7Zt28blcnV1WNrp+17UwsLCwsJCzy9amyQnJwuFQrIpFApTUlLc3Nwqe5zffvvt2bNnjx8/RgjNnTs3KCjIxaXETF0SiWTMmDE5OTkIIWdn59OnT5uYmFQ7fAAAUEctMYoQkqPPLKTLBCFm4kJO3IqL0xEuR5iev/swhouv4t09oqFMeY0QjlCtzUnYtm+dcuoCLi+eVy/rTgwkCEvz6dyETBDiSjzu9uvm/dvQG1JdwDVht/3K6/rp4iR9ZlrBm8dpfq1cNO8FgG5N+rbN6chXr+MyieaHjzl/7Ls3dzI84AYAgHJxOZz9v4Q1alh/9bbd5EqBUDh46vwtyxZOHz2CxtgAAKAOioyMXLp0KfFUmSo4OHjlypVfffWVHmK4du3a4sWLyYmxSIGBgStWrOjTp08Vjnn16tX169dfuXIFx/HSP7WxsZkyZcrcuXPt7e0re2SlUvnHH39s2LAhJSWFup7FYg0aNGjdunXU6cCMzpMnT0JDQy9fvqy23s/Pb/HixWPGjNFDDC9fvgwNDY2MjFT723l7e4eGhk6aNKmax1cqlefOnVu1atWjR48QQr/88kttShDSUGK0su7evbtixYpJkybNnj37l19+iYuru3UkxGJxaGio2sr58+eLRKLKHsrU1DQqKiogIAAhlJaWFhIS8uTJE/Knjx49CgoKunTpEkLI398/Ojra1dW1erEDAEDZmFiJBKECT9fxC5hQemPhClycoePja4HhqipsiIsK8BwaKp3qDcvM1DpANceeICFJlPqJxngMk0cbL66Z6mry7XWoMqonXQaUKJZ+42wtH9ELDBCLyQhb/BWDoeomsmPvvbiELBpDAgAAw4dh2PLZk//csJxNGb2hUChnr9w0L+xnDdOmAAAA0CGpVDplypTevXs/fvyYx+PNmDHj8OHD+/btmzlzpomJSXR0dK9evRYtWiSTyWouBrlcPnv27O7du8fExHA4nMmTJ4eHh+/fv3/u3LlmZmYxMTH9+vWbO3cudYquColEookTJ3bv3v3y5cumpqazZs2KiopKSkrKysp6+/btvn37OnTokJOTs379+iZNmpw9e7ZSAX/+/LlTp04zZ85MSUlxcnJasWLF8ePH//jjj2HDhikUimPHjrVq1erff/+t5NtgEHAcX79+fWBg4OXLlxkMxtdff71///7w8PAlS5bY2dm9fv167NixX3/9dUFBQY2GsWXLlpYtW164cAEhNGzYsH379oWHhy9btszBwSEuLu67774bMmQIMQiqCpRK5X///dekSZMBAwYQ2cHax6Cr2cTHx0+cOPHWrVvUlQsXLhw0aND27dvrTspq7dq17969S09Pv3v3bn5+vtpPjx07FhkZGRQU5OTk1Lx587lz52p5WDs7u9u3b0+dOvXgwYMvX75s06ZN69atfXx8EhMTo6OjFQoFk8mcOXNmWFiYubm5rn8nAAAoxkBmDMRXouLiyQr0WbfHx0xKDg8SpZVIGeoF09WPenWsSHnNsqnNg5bsggNzHj0jm1l3HzoN6k1jPAaIyWZ5tvN5feU50cxJycpKzLBrWOl+iKCyXD1sPf0d3r8q7ojw5HZiblaRtR3UdwV61djLrl/3BqcvJRJNmUyxaPWF43+PpmYNAQAAlDZ+2ID6zo4jZi7KKygkV27/53Dyp/T9v4SZmvBojA0AAGo9gUDQr1+/GzduIIRcXV2joqL8/Ir7X44bN27hwoU9evR49+7dpk2bEhMTw8PDGQzdD0wSiUSDBg26ePEiQsjR0TEyMpIY/YIQGjNmzPfff9+zZ89Xr15t3bo1ISHhxIkT2hQFFQqFPXr0uHPnDkKodevWx48fr1+/PvlTW1tbHx+fcePG7dixY9asWZmZmQMHDvz777/HjRunTcBv377t1avXx48fEUJdunSJiIiwsrIifjR16tRr167179+/sLBwzJgxWVlZ2j/VNwRKpXLChAn79+9HCPH5/JMnT3bv3p340ahRo0JDQwcNGnT9+vXDhw8nJCRcuXKFz+frPAYcx6dNm7Zr1y6EkImJyX///de3b1/yp99///2IESMiIyMjIiISEhKuX79OvvnakMlk4eHh69ati42N1XnkBkWvCUKRSFTeP4+tre0ff/xBXfPgwYPevXtnZ2eX3vjkyZMPHz68du2al5dXjQRqYHg8nqOjo6OjI3nKK09lB7fy+fx///13ypQpW7dujYqKun///v379xFCzs7OgwcPnjNnjlEPcAYAGAsm5qDEixOE8hodQYgQLkrFUGsdv0RFGE7eiMlGiuIsoTLlNWrWQ88x6JNF40bceraSzOJv8Ox7Dx371ebft2p8OjchE4QIobc3XnZo2I3GeOqOzv39yAShUqGMvhDbb0x1p6kAoLK+Gez1+GVOyqfivrRPX6aFRzz9dmgLeqMCAADD1y0o8F7E/gHfzYn78JFcefLitQ4jJp7e86urI3S3AgCAGiGXy0eOHElkB7lc7tmzZ8nsIKFBgwanT59u2bKlSCQ6evSojY2N2qP+6lMqlWPGjCGygywWKyIiQu1RubOz85kzZwICAgoLC8+cOTNp0qR9+/ZVOAXdN998Q2QHfX19L126VF4Oafr06VlZWStWrFAqlZMmTXJ3d+/UqZPmI6enp/fp04fIDrq7u586dUpt5rWuXbvu2rVr9OjRCKH58+fb2trqpyCnTixYsIDIDiKE9u3bR2YHCZaWlhEREU2aNElNTY2JiRk8ePC5c+c4HI5uY/jxxx+J7CBCaNeuXdTsIELI3Nz8v//+CwgISEhIePbsWf/+/S9evKjNHGpSqfTw4cNhYWHx8fG6Ddgw6TVByGazMQw7evQodSWPx+vZs2dQUBB1ZWpqav/+/cvMDhJSUlL69Onz5MkTM7Pa3+l7wYIFNXr8jh07duzYUS6XJyUlFRQU2Nvbq81HCAAANYqJHGXoPbGswHU9gpDniDAWwounxEOiVN0eXytMNsPRS5n6hmiRC7UWhtm2bZV29iLRkhcJ856/Rg3gm6UEJx8XK2ebvLTiMhfvbr8JGt2FwTSC2u/GLrCr53877xbmiYnmzXNv+nzbAkZuAT3jcphL5nScvvgcuWbDthvdO3o52kPdDgAAqIBXA7db/+0dOm3h7QeqeVKev4kLHjr+1J4tzf18aIwNAABqqxUrVpw/f55YXrx4cZmDWBo3bjxv3rx169YhhHbu3NmiRYvJkyfrMIb169cfP36cWJ47d267du1Kb+Pu7r5o0aIff/wRIbR///4WLVpoHpZ3/PjxU6dOEcvbt2/XPMIsNDT0jz/++Pz5s0KhmDx58suXLzWMUFQqlSNHjvzw4QPR3LNnj1p2kPDtt9/u2rXr1q1bOI5/9913TZs2bd68uYYYDMTBgwd//fVXYnn48OFDhw4tvY2VldXGjRuJ9Ofly5cXLVq0ZcsWHcZw4sQJ4sOGEOrTp0+ZuVU+n//zzz8PGTIEIXT79u05c+bs3r279GZqPn78ePDgwTVr1nTs2BEhNH36dPJDUivp9TkUi8Wi5u2trKzWr1+fnJx86tQptT/h/Pnz09PVB5G4urqOHDly7NixHh4eCKF3796tWLFCP5HXBSwWy9PTs0WLFpAdBADoGQtzIJeVKB9HYl0eHWNgPFVXYlxEz/x/TMo0hMqsZFxUqGHjWsAuKBCjlBPJufuQxmAMlncHVY9LUYHw45MEGoOpO1hsZvse3mQzJ0Pw4v5HDdsDUEOCA+sP6KU6CQiKJKt+vkxjPAAAYERsrSyj/vn9m4Elitinpmd0GfW/c1dvlbcXAACAqnn69OmmTZuIZT6fP3v27PK2nDt3LjlKbP78+YmJibqK4c2bN2FhYcQyl8vVMJxm5syZpqamxPIPP/yguT7kmjVriAUXF5du3Soo6sPj8cgxarGxsZcva7p637VrFzHgEiHUtm1btQF2VKGhocSCVCodM2aMXC4vb0sDkZGRQU27LlmypLwtR40aRdZr3bp1K/mGVF9ubu7MmTO1iWHQoEHe3sVPAPbs2UNMVaiZl5dXVFTUyJEjnZ2dnZ2dd+7cWRP1cg2Hvn+3Dx8+4DiOEOrcuXNsbOzixYvt7OzUtrly5YraKEMWi7V58+YPHz4cPnz4n3/+iYuLW79+PYZhf/zxR1ZWlv6iB0ZFKpUSC7Nnzx4xYsSIESO++eabLVu2EJ9AAIDhYFIShAghhe6rjFL6PdAyghAhhosvpYXX+kGEHGtLC19VDqYwNl6ek0djPIbJp5M/tdrJ2xuvaAymTuk60J9aZub66df0xQLqtOULultZqGbMirwaF3UtjsZ4AADAiHA5nH9+Xv3DtInUlQKhcOi0hX8dPUlXVMAYKZXKn376acQXZNZBIpHQGxgAhmPOnDlk1mro0KE2NjblbVmvXr0+ffoQy0VFRYsXL9ZVDPPnzyf/K/v37+/o6FjelpaWloMGDSKWxWLxwoULy9syISHh6dOnxLK7u3uFxUgRQk2aNCGXiWKnZcrPz6emrP73v/9pOGZISIiDQ/FjsZcvX+7cubPCMOi1YsUKMiPTpk0bC8gvIAAAIABJREFUDUMemUzmt99+SyzjOD537lylUqmTGNasWfPp0ydi2c/PLzg4uLwtMQwbO3Ys2Zw3b55MJqvUaxFTv1UtTqOg1xKjCKG7d+8ihJo1a3bhwoUyS77iOD5//ny1lZs2bZo3bx7ZZDKZixcv/vDhw+7du0+fPj1x4kQEQCkZGRnEArVrQHh4uKura9euXWv61RUKRU5Ojlwur+zEkLSTSCQFBQUIISaTSXcslSMSiQQCAYZhRtetQyAQiMViowsbIZSbm4sQqn5HDZzJQ5SaarmF7zCpLstHm2K2ZJlzpTA1NyszJyeHx+OR3Qj0ADN1pH7nCd49kll5VOE4OTk5YrFYLNbpIMuawWnaGL16W9zA8eyYx8iCD6fEEjBUz8sh411xWd3Ex+8/JaexTXRTlD8nJycvLy8rK8vozi0CgaCm/zcxDvJsYh//ovg64WVM8rs3Sdb1qnvaycvLQwjp6oZHn/R/StQJpVKZk5MjlUqFQiHdsVSOSCTKy8vLycnh8/mzvwtcvfkm+aMf1l5wdzOxsap4YgxaGO9VYlFRkVAoNLqwEUIFBQWG34u8TDk5OSwWyxiDz8vLwzDM6K5YjPeUKJPJ8vLylEolm82uwu5zxo1wtLP+fsM26ZeHfXKFYurStQKB4NsBITqNVJ3x3n4a7ykxNzdXKpXqfJxAVFQUOXyHinz0DEAdd/fu3Zs3VderAwcO1Lx9v379Tp4s7qhx5MiRJUuWNGvWrJoxPH36NCoqSvsY+vfvf+jQIWL57Nmz9+/fb9u2benNXrx4QS4TD7gqZG6uenqVnJxc3ma///47cXuIEGIwGGpz46lhsVghISH//PMP0QwLC/vuu+94PJ6GXWj0+fPnffv2kU1t/hbr168nlp8+fXrixIlhw4ZVM4bs7GxqpVAyH6whBqLqLEIoNjb20KFD48aNq9Qruri4pKXRU5BMD/SdILx16xZC6Ndffy1vQshTp049f/6cuqZfv35lFgtesGDB7t27b926BQlCUKYyy0CzWCxXV1edz4lamlwu53A4bDZbD6+lW0qlkohcQx1tw0S85xwOx+ju0NhsNvG20x1IpRG38dWPHMecqfkuJquQhXT6bpg4kYuYUsJlSGn49+TUwy3ssYLihAQr/xNWpVfnfKHT4GoEu5lfztlLCkER0VR+zoRTYmmewY3JBKFSrshNzHYNaKCTI3M4HBaLZaSnRKSLE4tmHXp7kwlCHMef3krtNaqJ5l0qpJ/Ia4KxX7EYXeRyuZzFYhGRD+nrH3ntfcyT4tHtuXniTb/f27yqF70Rlsd4rxJlMhlxoUh3IJXGZrMZDIYxRs7hcJhMpjFGTnx7Gl3kxntKRNX+GhozuK+7m8vYhSvyCopr+OM4Hrpxm6211YDunXQXpjrjvf006lNiTdw4u7m5MZlMhUJR+uV0+0IAGKkNGzaQyxiGVTjoQm2D3377TZtZ3zTbuHEjtSBchbVAu3TpgmEYucu2bdsOHjxYejNybAlCKD4+Pjc319raWvORqbuUl8OTyWRbt24lm/7+/hWOP+vatSuZIMzIyDh69Ch10JtB2bp1K7XPeoV/i9atW/P5fIFAQDR//fXX6icId+zYQR4QlfrIlda0aVM7Ozuyf8mvv/5a2QShmZkuhzEYGn3f2kVHR7u4uGj4s61du5ba5PP5e/bsKXOEr7e3N5/PT02lp1gcMHwODg7EyWLbtm3kibhx48ZNmzbVw6vL5XKZTGZhYWGwPT7Kw+FwcBy3sLAwukc/LBYLwzALCwuju0NDCLHZ7DInKzZwfD4fIaSLyM3FciZCxbdkHJ6Uz9Dlu4ELXah3e3yuTMTn83g8Pb/nEjs3xZcEIVOQaValVxeJRGZmZsQ7b/gsvD1zHxd3+lFmZMEpsbTGQf53/7mOvtzp5CVl+3XUzZeUSCTi8/lGekqUSqU1/e/Z/ivf47sfFeaJiOajG4nD/hekRUUZTYiBMsZ4MheLxfo/JVafUqmUSCTm5ubkFCPGgsVi8fl8c3Nz4j3ftLxvn2/2CkXFY1+u3EqIvJ44YkB1+1nXBOO9SmQwGAwGw+g+5AghpVIpl8uNMXKpVMpisYwxcj6fT3yB0h1I5RjvKVEqlSoUCgsLi+pkffp06xR9bN+A7+a8/5hCrFEolJOXrLXZYdWnawcdRarOeG8/jfeUyOfza+LGuVOnTo8ePYqLK67ynZycTFQZdXZ21u0LAWCMsrKyqIXZGjZsaGVlpXkXDw8PR0fHz5+LO8IePXp0+/bt1RmaX1BQcOrUKbJpb29f4b+no6Ojh4fH+/fviWZERERhYSF18B+B+oBCIpEcPHiQOq1dmZKSksjlVq1alblNVFQUNY/YokULzcdECAUFBVGbBw4cMMwEoVKppKZamUxmhcND2Wx2YGDg1atXiWZ0dPT79+89PT2rE8aBAweoTQ01TgkYhrVv3/7MmTNE8+nTpy9evKhUgsAYe9VoT6/XMTiOJycna/ibXbhw4eHDh9Q18+fP15BjxzDM6KohAb0h88q9e/ce/oV+soMAgErCGEiV8VKiQh0fnluyPr40R8fH1w5mrRrIqMz7jFDtnw/VrIEruawUimS5+TQGY5hMLE2tnVWfz7TX5ZYoAbrFZDHafdWIbGZ9Kox9VmsLhgAD18DNesncEr0nV/10OfGjVjWOAAAAEHw8Glw5tNvdVfXIWCqTDZv+/cVbd2mMChiLgIAA8qlRr17F4/i1mY0MgFrv6NGj1AnbtCwW6ufnRy7n5+drmKtPGxERESKRqDoxiESic+fOld7Gx8eH2ly5ciU1sVeaUqkkj8Nms8sbCUdWN9U+YA8PD2q1xevXr+u8nLJO3Lx5k1pY1dPTU5uhddS/BULo2LFj1YnhwYMH7969I5suLi52dnaVjeG///6r1IvW7jHlek0QSiQSiURSXo82HMdXrVpFXWNvb69hHtGcnJzCwkJ7e3sdRwkAAEDvGJiqH6gSL9Dx0TkGkSBkWKkShEgmwQW1/+GvaX1XalOUAgmYMjj7upHLWYkZUhH0fNKTDr1L3A1GX4ilKxIAvh3aoltHVS9aoUi2cOU5hbL29yMBAAAdcnW0j9y/w9m+HrmGyBHefvCExqgAAMCoUWf+Qwg1aKDVjBhqyRhy9JihxdCiRQtbW1uymZ2dPW7cOGpCVE1kZGRKSvFQ9f/973+urq6lt8FxvAoBM5lMarZSLpffuHGjwr30zxA+D5GRkfqPARKEOsPj8UxNTRMTE8v8aXh4+P3796lrli9fXnrwL4kY4Ozg4KDTGAEAANCAgSgJQl2PIMRKJghxCf0jCBFCeF7tn/TerL4ronS8FSVDVfAyOPupEoRKhfJzLLxLeuLibtPQR/UM8dHNBKEAsrOANj8t72Nno+p+++h56s5992iMBwAAjJFnfdfLB3c52Kku/oUi8cDJ8x6/fENjVAAAYKRwHL9z5w51jZubW3kbU9WvX5/avHXrVnXCqLkY2Gy2WiXPyMjI8ePHl1mwsLCwcO7cucSyt7e32ixppLdv3+bklHjoVLWAb9++rc1eehYdHU1tlpkiLU3tV7tz507paV+1p/Z5qFoMDx48oM6kWMfpu1R6s2bNXr16lZeXp7Y+Ly9v8eLF1DV+fn5Tpkwp7zg4jm/evBkhFBAQUBNxAgAA0KeSCUJdjyBkWyAGpbOPzCAShMrc2p8gZJqacG1VU3yLYQRhWVz8Slynpr1JoSuSOig4RNVJUyqRP7zxnsZgQB1nY226bmkv6potu24/e1X7vykAAEC3vN3rX9j7m42V6uYiv1DQZ8Ks1/EJNEYFAADGKD4+Xq3QpZbJGLXxPK9evapyQigtLY067V+VY3j37l2ZCaHQ0FBra2vqmkOHDvXo0UPtF5fL5aNHjyYqW7q6up49e7a8uRjv3lUvbV21gJ8/f67NXvokl8vV5obT8ldTKwApEAg+fPhQtRhwHL93r0Q3yqrFIJVKY2OhhlAxfScI+/XrJxQKFyxYgOOqmjkSiWTw4MHUCrYIoc2bN7NYrPKOs3nz5sePHyOE2rVrV3PRAgAA0A8GphovrvsSowhDbEuyQdcIQoaVE0Kq4XR4HUgQopJVRoUfYWxcGUytzSwdVTckMA2hPrX7qhGHq7rahCqjgF49OjcaOVA1Q4lCoVyw4pxIXG6NIwAAAGVq5ut95s+t5maq2W2ycvN6jJ4am5CkYS8AAABq4uLi1NZULRkjFournBAqncXRckCeWgwKhaLMhJCjo+Pu3bvV5hy9efNm27ZtX758STTlcvm33357+vRphJC/v390dHSjRo1KH4qg9qaxWCxHR8cqBPzmjcGNfU9OTqZOBom0/luULgBZ5d8uIyNDbeCZ/mOoffSdIJw2bZqlpeXff/89dOjQhw8fPn/+fN++fQEBAdevX6du1rdvX3Ja4NIOHTr0ww8/IITMzc3VCsgCAAAwRtQRhDgS4UjHz0MxjqqsPJLSNPkfi4PxVfWO6sIIQoSQqZsLuawoEkpz1UsIAISQs5/qLivj/SeZBPIBemJixmke3JBsvn+d/imp9k8OCgzZ8oVfNayv6jHwPjF743ZDnH0EAAAMXNvmTU/s/IXH5ZBr0rNyQsZNT0qtE1fgAACgE6WnCXNxcSlrQ3V8Pl9tTUZGhq5icHZ21m0Mw4YNW79+vdrKhISE9u3bnzp1SiaTjRw58ujRowih0aNH37t3T61YpeaAHR0dmUxmFQLOzMykDq8yBDr8W6SnpxtvDLVPuUP0aoiNjc2ff/45YsSIiIiIiIiIMrepV6/ezp07y/xRYWHh8uXLt27dSvyHBAQEMBj6znECAADQOQYqMeOsEhUykU15G1cFdRpCKT0jCBFCmLUTLsgmluvCHIQIIbMGJToYCj+mcKzLLsRRlzn7ur25+oJYViqU6e/SXJtoNc82qL7gEJ+Yq/FkMzoqbtjktjTGA+o4UxP2zyv7jvzuoEJZ/Dhg/9FHnYPcuwZ70hsYAAAYna7t20Ts2jxo8nzJl6mkkj+lh4ybcfXQbid7O3pjA8AYKVC2UBkpx6HeiXFgICtTRjc25l2dg6jV9kQImZubl7mlGi6Xq7YmPz/fkGNYtGiRQqH48ccfqTk5gUAwZMiQgICAJ0+e2Nrabtu27ZtvvqlswKXzUuXh8XjUplwuFwgEWv6y+mHUnwcOh4NhGPXvW+UYah99JwgRQsOGDfvrr7+mTp1a5oSflpaWJ0+eVBuwjOP4ixcvDh069Pfff2dmZlLX4ziuNgoYAACA0WFgFtQmjhcgTJcJQoxrQ14F4NJsHR65UhjWTsrk4iIVdbDEKEKoKCnVKqAJXcEYLBf/ktMQvk6GBKHe+LVysbHn52QIiOadqNghk9owmND/DNCmVTOXaePb/fZ38eQlOI5+WBN54fBEa0sTegMDAACj06NDu3+3rPl69g/yL3NfvUv82HvCzCsHd9laWWreFwBApcDTcxSrlEjns4GAGiRW3LFkTudhVZ+cq3QGxdTUtMwt1ZROCKmVhTTAGJYsWeLk5DR58mS5XE6uVCqVT548sbKyevz4seaBg+UFrGW0CCEOh6O2Jj8/36AShDr8W1Q5OVflGDAMY7PZ1GwUJAhJ9Dz+mDBhwtOnT0eOHEn9E7LZ7BEjRjx+/DgoKEhte2dn54CAgI0bN1Kzgwih6OjoQ4cO6SNiAAAANQlDJRKESlSo4xegjiCU5SO8ivNjVxNmpSo9j4sKcHERLWHoE8vMlGOjKpcn/JhCYzAGi29rbl5P9ZQKpiHUJwzDgnqq+tUW5IpexsD7D2g2Z0qHAH8nspmeKfhhTSSN8QAAgPEa3Kvbng3LqaWnXsbG9xo7Pa9A17cbANRqAuUJyA4aIWWh4gBCyirvrzbhHIZhaqPcylN6ME+VE4RqMSCETEy06jZXhRgmTJhw/vz50jm5vLy8UaNGaVmRUi1gLaNFOn3TaohQKFRbU3N/C53HgBBSq0NpaG8vjWjrH+3r63v48OHs7Oznz59fuXLl0aNHeXl5R44c8fDwKL1xdHT0+3IMGDBA/8EDAADQrVIlRnV978FR5agQrmQo6HkiwLAuURu9DlYZLYIEYTmc/VQTa6fHf5JL5Ro2BrrVoXdj6g3L7cgy5q4HQJ9YTMYvq/qa8NjkmqhrcSfOvaQxJAAAMF5jBvfduuJ76pqnr2P7fzenqNRDZwBAeeQoke4QQFUoUb4CVX2SdbVkDJfL1XKqL5lMprZGLBbrJAakdUKoajH06NEjLCys9Pq7d++2bdv22bNnFR6hyglCHb5pNaTKydrSv1rpQ9V0DKXDqHIMtQ/NBZR4PF7Tpk27devWsmVLDQNCPcpnUCNtAQAAVI1aiVElruMEIcYpUbAUk9PTUQizdqI260iC0LS+ahpzeaFAmgtlHMrg7KtKoypkioz4OvHZMBB2TuaNmqr+N5/fTSrMM6w7MVAHeTa0XTy7C3XNik2XU9Lg/AkAAFUx7dvhvyydT11z9/HzIVMXiCVlTHwDACiNgWzpDgFUBYY4ar2xK4XNZlObWg4fRGUlhLTP4miOgc1mM5nMmoth165doaGhbDbb399f7UdJSUkdOnQ4efKk5iOwWCUmdKvOm6b9vvqh9rdAWkdYc58H7WNQKBQKRYlaYlWOofaBGVYAAADQj4HMEFJd5NVsiVGEGDKaEoRWJRKEyroxDaFZyWkIocpomagjCBFUGdW74BAfclkuV9678o7GYAAgjBnesmuwJ9kUFEnmLTurUOIadgEAAFCeORO+WTpjEnXNleiYb+aopicEAGhgxuiNkHqRQGD4TBg9MKQ+s532+Hw+tVk6zVOe0ltqPxWf5hjkcjmOa3U9TJ1tTpsY5HL54sWLp06dqlAo9u/f/+jRo7Fjx6ptIxAIhgwZsmPHDu0D1v5NKx2wmZmZlvvqh9qvhrT+7Wru80BLDLUPJAgBAAAYAoyBVF/zNVBiVG0EYdWLbFQHZmKO8VS/Jl43EoSmJROEUGW0TJYOVnxbVdfO1DeQINSr1l08eaaqroi3z7+lMRgACBiGflrRx9ZGdeP68FnKn//G0BgSAAAYtVXzpi38X4mnvacv3/h2zhKFouoTdAFQR3CwplbMuSzMreJNgWFgIEs+Y6g5Y2R1DmJhUaLUk/YVL0tvWTqvU7UYcBzXMozSBSQ1xFBYWNi9e/eNGzcyGIzw8PBRo0Zxudx9+/atW7dOraoqjuMzZ87cu3evlgFrX8ey9O9laAlCtV8Naf2RqNTfwvBjqH1YFW8CAAAA1DwGZq7Ei4unKXEdjyBUKzHKkNNWpQ2zcsQ/xxPLdaTEKItvxrGxkuYUj9oUfkylNx6D5eTr+u72G2I5PS5NIVMw2VrVTgHVx+WxWnf2vH2hOC+Y+iEn6V1Wg0Z29EYFgK2N6bolIVMWniDX/LzjZlDrBk39HGmMCgAAjNf60FkFAsHucNV59XjklclLwv7csBzDYHQUAJpwsVZcZiu6owB6ZWlpSW0qFAqpVMrhVDwkMTdXvU+2q6trmVtWNgaEkFgs1qY4ZF6eeuGo8mIoKirq06fP7du3EULz5s0bPnw4sR7DsB9++MHDw2Ps2LHU4X04jk+ZMsXDw6Nz584VBqx9VlXtTePxePXq1dNyX/0o82+hzY7a/y2MIobax9AThGKx+MiRI5GRkcnJyXw+v0GDBv379w8JCVGr5wtAaWRl4d27d9vaFldLb9KkSd++fekLCgBQLgZS9QPS/QhClhli8pCi+LqBIc+nq58wZu2EviQI60iJUYSQqZsLJUEIIwjL5uLrRiYI5VJ5RsJnJx8XzbsAHQoO8SEThAih6AuxkCAEhqBnl0ZD+zU5fvYl0ZTLlQtWnjt9YByPC3dDAABQaRiG/bZqsUAoOnTqArnyn+NnLPhmW5YtpDEwQK9Tp069fVt8HZienk4sKKD8LKjzGjVqpLamqKioagnC+vXr6zAGa2vrKsTQoEGDMrecPn06kR10dnZetWqV2k9Hjhxpb28/aNCgggLVcyqZTDZu3LiXL1+WHoXm7e19+fJlarQVhlpmwG5ubobWc6X030IgEGizo/Z/C6OIofYx6BvLmzdvjh07Nikpibpy9+7dzZo1+/vvv1u1gn4rQBPyqu6nn36iro+MjGzTpk1Nv7pcLs/Ly1MqlVwut6ZfS7ckEklBQQGGYUaXhheJRAKBgMlkqg3/N3yFhYUSicTo3nCEUH5+PkIoJydHJ0dTmPDQlwp/MkVuTr5uDksyZ1liXxKEclFGfm6uXC7X7Utog8W1Iv/SeGFWbmY6zlSfY1mDvLw8qVRauja9obNTjeCUFRRmJn1kmhtHMQd9nhLNXErUykh4HMetV/VJs/Py8goKCnJycozxlCiTyfQftq0Lp56LeWZq8fDle5fjvhrpw2JXIozSfRKNRV5eHpfLpeWUWB1KpTIvL08ul2vfLddAiESigoKCXK2/hub9r/X9xx9T0oofSbxLyAr7JWrB1PY1GWPZjPcqsaioSCgUstmV+MI1EAUFBXK53OjO5AihvLw8FoulVBpf5caCggImk6nN0ASDYrynRJlMRnyB6vM/9JfFcwSCotNXbpJrtv9zmMtmhU5Wn25KA+O9/TTeUyJxK6Sr209SdHT0oEGDSq9PTYXCJ6Cu8/f3V1uTlpZWheScmZmZg4ODDmPQZuyXWgwcDsfNrYwauQcOHNi/fz+xPHfu3DKrenbt2vXChQu9evWi5qKSkpK2bNmybNkyzQGnpaVVGCpB7XbSw8NDyx31pnHjxiwWi3oL8+mTVr3eSyfnqvzbeXh4mJiYUOuFVjkGT0/PMresg/R6HVNUVNS6HH369FHb+PTp0z179lTLDhKeP3/etWvX6OhovUQNahtjvE0FoE7AKddhmLZ9rLSnZFmRy0wFbSVGcUvKZTGOo8JMuiLRJ7ZTiZsBcUpdGTpZKeYOliaWqsnGMuI+0xhM3dS6S0NyWSiQvnoAT4WAQTAxYa/6vjOToepBHB7xMvoBzFQKAABVxGQydqxe9FVwIHXlz3/+u3XfYbpCAjSCZ0QAlMfHx0etW5iWiXO1nE1gYGCVB8N5eHiYmppS11QthhYtWpTuGCGRSBYtWkQsMxiMsWPL7SYSFBR0+vRptf5Dv//+u0wmU9vSz8+P2szNzdVyEKFaKrFt27ba7KVPXC5XLbGXkqJVgSi1X83e3r7Ko/eYTKaPj0/1Y7CwsPD29q5aDLWPXvt+mpiY9OjRY8OGDdSVbm5uI0eOHDhwIHXlq1evvv76a4lEUt6hCgsLhwwZ8uLFC3t7+5oKFxg5BweHDx8+IIQmT55MdG9hsVht2rTp3bu3Hl5dLpfjOG5pacnj8fTwcjokFosZDIaNjY3R9Q0XCoUsFsvGxsbounCyWCyxWGxjY1PxpgYmOzsbIaSryIuU9gLy1gwTWdtYYDr9klKY2uNFscQyBwmsra1LT26sBwpXL+p3m4VSyKzMGyiTyczMzIxuLmVT/8bURCgzN99YPvB6PiW6+LnF3y3+lGYlZFhZWjGYVTyhyWQykUhkpKdEqVRKyyek28CAqPCXSiVONJ/dTu3aL6CyBzGWzzaVXC7n8Xi0nBKrQ6lUKhQKc3NztUcGhk8oFFpYWFTqa6hbR5vJYzP/2HePaOI4Wrc1+sLhiVYWer3ONN6rRA6Hw+FwjPHfk8FgyOVyY4xcqVSyWCwrK6uKNzUwFhYWVlZWRveeG+8pkSiMYW1trU3NOt2K2LWl78RZN2Mek2vW7vjbyspy3sRvtdndeG8/jfeUmJ+fL5FIdB75wIEDjx8/HhMTQzSzsrL++usvhJCzs7NuXwgAo8Plclu2bEn+dyCtkzGJiYnUZrt27aocA4PBCAwMvH79ek3EcPz4cTKP6Ofnp3mYY9euXXfu3Dlu3DhyTXp6+v379zt06EDdrFWrVlwul5rUSE1N1SYXpRawASYIEUJBQUFxcXFkU8tkrdqv1r59tUqhBAUFPX36tJoxtG3blslkVieM2kSv1zEMBmPFihVklwFvb+/jx49/+PDhp59+ov4v4Tg+Y8YMoVCotnunTp2WLVu2evXqnj17IoQyMjK+//57vQUPjA75f/79999v2LBhw4YNa9asUUtFAwAMBwOZU5s4KtTt8TGO6k4Sk9M2gpBhXeI+E8+rE2PpWHwzpoXq71sE0xCWw9lPVfNEJpZmfUinMZg6yNrOzL+1qljNqwcpORlazWcAgB7Mn9qxmZ8T2fycUfjDmgsatgcAAKCZCY97cveW1s1KDPUIXf/rX0dP0hUSoMuQIUM2fDFv3jxipdH1hgGgJgwYMIDafPPmjTZ7EQM2SF27djXMGC5cUF1ON2zYsMJjjh07dsKECdQ11OwpwdzcXO21tAk4Pz+fWj+Zy+UGBwdXuJf+qf0tXr9+rc1eask53X4eaImhltF3R6fXr1/jOI4QGjt27IsXL4YMGVI6WxseHn7jxg3qGnNz87Nnz964cWP16tXLli2Lioo6duwYm80+dOjQx48f9Rc9AACAGsPALKlNJV5Q3pZVxFEVymcoipBSvRCEfmDmtoil6h+tzK0rZSQ5zo7ksjAJEoRlc/YtMSlC6msoIahvwb0bk8s4jt+99I7GYACgYrEYv6zqy+OqHlZGXo07FanV/TAAAIAyWfDNIvf93txPVawMx/Hpy9YdOXuRxqgAAMBwqA20ePToUYW7yOXy+Ph4smlnZ6fbhJA2MeA4Th3oZmFh0atXr9KbxcbGkssuLi7aBLN8+XJq74H09DI69VYhYGokCKGePXtaWlqWtzGNevbsSa2zqs2vhkr+dgwGY9iwYdWJoWvXrtRCLE+ePNGmUrTaOzx8+PDqxFDL6DtBePfuXYRQ9+7d9+7dW2YFCZlMtmTJErWVf/75Z9++falrhg4dunjxYrlcfvr06ZqLFgAAgN5gJUcQKnU9ghBxqLVocIY8r9wtaxZDsxDYAAAgAElEQVTGoExDWEdGECKEOE6qkuCygkJZvq4TwLWCjasddRrCtDeQINS35sEN+Zaqmo23z7/FcRrDAaAEL3fb0JmdqWuWbbiY+glOpwAAUHVWFuYX9v3m6+lOrlEolOMXLj939RaNUQEAgIFo0qRJ06ZNyebjx4/xim6QXr16Ra0LOGzYsGqOx/X09AwMVM0a+/z589Iz/6mJj4+nDsgbNGhQmTNAUQuBajlFVMOGDan5zjL3Gjx4MJfLJZvaZNEePHhAbY4aNUqbYPTPzMysf//+ZDM9Pb3Ciq8ikejly5dks0OHDlrmYsvD4XCGDBlCNgsKCqgJ6TLJ5fInT56QzdatW3t5eVUnhlpG3wnCmzdvIoR+/vnn8qq0HzhwICkpibpmypQpI0aMKL3llClT0JeMIwAAAGPHQCWmYlIiHT/xxDglJ6uQ5er2+NrDrFU14vDcOpMgpIwgRAgVfdSqTHydgyEnH1WJy09vU3ElpKf0isVitO2mulXI/FQQ/7Ku/JMCozB+VOsuQR5ks1Agmbf8jAJOFAAAUA31bKwv/PO7u6tqIgCZXD58RujFW/C4CQAAEHWGr/z8fLVUVmnUqpsMBmPWrFnVjyE0NJRcFovF0dHR2seAEJo9e3aZm1EnHaQmFDXz8VGNOy8z1+Xo6EidqvD27dvUTGSZqAG7uLgMHTpUy2D0j/q3QAhduXJF8/aPHz+mJnTnzJlT/Ri+//57amqpwhhevHhBTVrrJIbaRN8Jwnv37jVq1Kh58+Zl/lShUKxfv566pl69eps2bSpzYxcXF0tLS3IqUQAAAEaNgZUcQajzEqNcW2oLk9E1grBEglCZ9xnVjQFKbMoIQoSQEKYhLIezrypBKBVKspIyaAymbgoO8aE2b1+ILW9LAPQPw9D6H0OsLFRdlR88Sfn7UAWPaQAAAGjm6mgfuX+Hs309co1UJhsxY1HMs5ca9gIAgLrg66+/ps7PFxERoXn7ixdVVZoHDhzo5+enYWMtDR48uHFj1WQQlYqhZ8+erVq1KnOzoKAgcvn58+daBmNjo+p93rlz5zK3+f7778lZ1QoKCjRnsJRK5aVLl8jmggULqAMQDU2rVq169uxJNk+cOKF5e+rfwtfXd9CgQdWPwc/Pj1rHtVIxuLu7V2GAploVU22KmhoRvSYIlUplWlqahvNCeHi42pjQ5cuXU6vKqpHJZOWNRAQAAGBcGIiPkGpWWp2PIERsa2oLo63EKGJYqRKESCHDC7PoikSfmHwztpXqC10IIwjL4exfYhrCNJiGUO/qN7Jz81L1J3h4I0EiltMYDwBqHO3Nwxb3pK7Z/Metzxm6rssNAAB1jGd918j9v9ezUd0yCITC0XOXSqRSGqMCAADasVisFStWkM3jx49rqDKan59/4cIFYpnL5aoNBCotLi5u586d+/fvz8rS9GCEwWCsXr2abEZERCgUivI2FgqF5JRkLBarvKFHCKHhw4eTmYUXL15oOQzpw4cPxEJAQAB1NCGVl5fX+PHjyeaxY8c0HPDGjRvkSzdq1GjatGmaN160aNGECRN2794tEom0CVjnVq1aRb5vFy9eLCgo9/EdjuNHjhwhmxqKShI+ffr0999/7969OzExUXMMK1euJEvX3rhxQ/PnhxrDxo0bq1DzViwWU5sVFrk1LnrNrslkMrlcTubPS/90zZo11DWenp6TJ08u72ipqalCobBevXrlbQAAAMCoYAxkRjaUSKDjo3NKJghl+bo9fiUioYwgRAjh+WVMal0rmbiqim+I0j7TGIkhs61fj2umGhuUHg+VEmjQIUTVO1Uikr16AGlaYFj69fQd1FvV51IskW/78w6N8QAAQO3g5+VxYd9vVhaquiYJyam/HzhKY0gAAGAIxo0bRw6Ve/fuHZl+K2337t1FRUXE8pIlS8rLnxH279/ftGnTadOmjRs3rkmTJtRZ4kobPnx47969ieXk5OSjR8s9Oe/duzcvr7hH+Pz58wMCAsrb0t/ff/jw4cSyUqncvn27hgAIQqGQzICuW7dOw5YbN24k0xbh4eFpaWnlbbllyxZiAcOwnTt3apgNcfHixV26dNm0adO+ffumTJnSokWLChNpNaFdu3ZkykYsFv/+++/lbXnu3LnY2OKSPCNHjuzTp4+Gw968edPPz2/SpElTpkxp0qSJho8ZQiggIICsFCqTybZu3VrelteuXSM/Wv369SP/4pWiViS2wpqxxkWvCUIul2thYfH+/fsyf/r777+TnxjCunXrOBxOeUc7c+YMQsjJyam8DQAAABgXDDMll3G8SMdHZ/IQQ1WlAVPoeoSi1jDzEsVOcYG2le6NHcfBjlyWZOcoZTAqqwwYhtl7quZrzHwPmVQatO7igWEY2Xx86wONwQBQplWhPe1sVL1qjp56nviRtrl1AQCg1mju53Pmz60sSr/2db//lZ1HW89CAAAwBBiGHThwwM6u+I5+5cqV0rJGVyclJZGDf3r37r106VINx8zNzZ0+fTp5nPT09KlTp2oOY+/evWQiICwsrMzxc58+fVq+fDmx3KVLl7CwMM3H3Lp1K3nMzZs3a05SIoRWr15NDFYbPXq05nSXra3t/v37iQFzYrGYOgKS6vTp00SOAyG0atWqbt26lXfAO3fuqI2GjI2N7dOnD3V2Pb35+eef/f39ieUtW7aUOYCvqKho3rx5xLKfn9+uXbs0H3PSpElkZreoqGjixIma83Br164li8du3769zAGgYrGYnIHSy8tr3759mmMoz+fPJZ7MpKfXqo7++q7P2bp169evX6emqhcWS0pKUvs/6dixo4aMrlQq/emnnxBCLVu2rIk4AQAA6F/JEYS6ThAihNiq7sCYXMcjFLWHmdtRm3hhNl2R6BmXMq0LwnFJRiZ9sRg0aoIwPyNPXEhP2ZC6zNLG1KuJar76Z3eT5PJaNccAqAUszLnTJ7QjmwqFcsuu2zTGAwAAtUb7ls3+N2oI2cwrKFyzfQ+N8QAAgCFwc3OLiIgwNTVFCD19+nTq1KlqhUbj4+NDQkKIapNBQUGHDx8ur4gg4eXLl+RYQ8LDhw81J4QcHBxOnTpFTEb25s2bCRMmqE0Fl5iYGBISkpOTgxBq3br18ePHNQw9Io8ZERFBTCsokUj69u379OnT8jbetm0bkaLr2rXrn3/+qfnICKGQkJDNmzcTy7t27frrr7/UNrh06dLo0aOJ5WnTpv34448ajnbz5s3SxV3fvHmzc+fOCiPROTMzs1OnTjk7OyOEMjMzhwwZolaEMysra+DAgcRccp6enmfPnrW0tNRwwOzsbLWJ57Kzs9++fathFy6XGxERQUyQmZ+fP2jQILVcaW5u7tChQ1++fIkQql+//rlz52xtbcs8lGYpKSlqA96uXbtWheMYLH0nCAcPHiyTyb777jtqkj8jI6N37965uapOrwwGY8uWLdS+22pCQ0MTEhIQQu3atStvG1DHkeWAly1bNuWLHTt2aKiUDQCgF0ZJEOI1kCDE2JTLETl9IwhNzBFLdZGKC+pOgrBEZlScDgnCstXzUKWmEI4yP9SqvmnGokUHd3JZVCR9+xhmzQQGZ/SwFm7Oqu+1Mxdfv47LoDEeAACoNZbPmWxpziebOw8ei/vwkcZ4QI3CcXzbtm3kU6NVq1YR68scIAVAXdahQ4fIyEiibObevXs7duwYGRmZlpYWHx+/evXqZs2aEemccePGXblyhUjjaeDo6Ki2xs7OjsvllrkxqU2bNpcuXSLG/B05cqR9+/bnz59PTU1NSEhYv359kyZNnj9/jhAaOXLk9evXibRfhdq2bXv79m0PDw+E0KdPn9q3b79o0SJqQkgmk129erV3795z5szBcXzmzJkXLlyoMFTCnDlzduzYwWazEUL/+9//xo8ff/fu3aysrEePHo0fP75Xr16FhYVcLveXX37ZsWOHhlQIQsjc3LzM9ZonOKw5np6e169fJ6rI3rp1q3nz5v/9919SUlJycvKOHTt8fX2vXLmCEOrWrdvdu3fd3d01H83S0tLExIS6BsMwIgGpgZub27Vr15o2bYoQiomJadasWXh4eGJiYmpq6p49e3x9fc+fP48Q6tChw71797y9vSv1C+bn58fHxx86dKh79+5yeYkKWEuWLFmxYsWDBw8yMjLUfmSMMD0nS0Qikbe3d0pKSqtWrRYsWMBms588ebJjxw5yAClh4sSJpZPqpFWrVq1cuRIhZGtrm5mZqfmfB9RZpqamZQ42P3bsGFk4u+YoFIqcnBwLCwstvzAMh0QiKSgosLGx0dzTxwCJRCKBQGBra6t5wlsDJBAIxGIxWavBiBAdNYirKJ1Qmu7HOY+/NOyYBZo6T1UBP2E5S/CKWJbyvIXeFUyXXXN4hxcwCovTY3LP9tJumuagpsrMzDQ1NTUzM6t4U0NCnBLNudzPP/1BrrTu3tGySxCNUWmDllOiMLfo7I+qCRWaDmjp26vcWRPKk5mZmZ6e7ufnZ4ynRKlUquW9XM3JzRRumnmBvEwO/Mp9yOQKqlYQV7NWVlY1HZvOZWVl8Xg8Pp9f8aaGRKlUZmdn8/l8tTtJwycSid6/f9+wYcPqv+enL8aFbb5FNju0dduyqmc1j6mB8V4lFhUVGens9QUFBXK5nPZTYhXk5OSwWKwKHw4aoNevX1tbWxvdVCbGe0qUyWR5eXlWVlbEw1PDse2fI+v+2Es2+3QJ/nvDMuoGxnv7abynxI8fP0qlUi8vL90e9tKlS998803p9WZmZgIBbVVndGvRokXEsKeNGzeGhobSHQ4wbqmpqfPnzz927Jja6D2EUKtWrdavX9+jRw8tDzVkyJCIiAiyuXnzZrIipWbp6ekLFy48dOhQ6RiaNWu2du3afv36aRkDSSwW//bbbxs3biSrZTo7O9vb24vF4uTkZGKwY69evX744YcqPFWOiYmZNWtWTEyM2noGg9G/f/+NGzdqnqyRkJqa6ufnR4zRpDI3Ny+9Um8KCgqWLVu2c+fO0p0qPDw8VqxYMWbMGC1zNz/++OPatWvJ5nfffbdnj1Yj+IuKilatWrV9+3a1UYwIoQYNGixdunTSpEmV/bIeNmzY8ePHtdmyJt5/GxsbYihdTk6OtbW1bg9eGqumX0CNiYnJ4cOHu3Xr9ujRozK/gBFCXl5e5PBbNQkJCbNnzz537hzRbN68OWQHQXnKfHLBZDLt7e1ZLH188llf6OG1dEihULBYLCaTaXSRk2+40d2hEe+20b3h6Mt/mQ4jl2FmZKcVDBPp/j1hqUZaMBSFdL7nZtboS4KQIczVPhIjPbEghFgsFtvMjGXOlxcW32bLsyvxi9OFllOiRT1LnoWJuKC4j0teclXeKDglVlM9JwsXd+uUhOL6Fq8ffBo2lclgaLrsJGKmPfIqMNLvfaVSaaSnRCJmnbznA0N8/z324sPH4q6Wt+8nP3+d2bJZTSU2asFVIt2BVJpRn1iM9D03kK+hyjLeUyIRuQGeWKaPHn7g5PnkT8WFHM5fj7775EXHNi3IDYz3WstIPyoIISaTyWAwdB65vb09g8EonWYwxrcIAD1wcXE5cuRIfHz8iRMnHj16lJOTY2Zm5u/v37dv36CgyvUAPnjw4Lp1686fP29qajphwoSJEydquaODg8OBAwfCwsKOHz/+4MGD7OxsU1NTX1/fPn36dOzYsWrJAh6Pt3Dhwnnz5t27d+/y5cuJiYlZWVlisdjKyqp79+6BgYFdunSpX79+FY6MEAoMDLx///6dO3fOnz//4sULoVBoY2PTpk2bgQMHNmrUSMuDuLi4XL9+feXKlfHx8S1btpwwYcLhw4f37NlDyxyEJAsLi61bty5ZsuTYsWP379//9OkTj8fz9PQMCQnp0aNHpboVrl692sHBITw8XCaTDRkyZOHChVruaGZmtmnTptDQ0P/+++/+/ftpaWkcDsfDw6Nnz54hISFVO5n/888/WqYna0FyioZvu+Dg4KioqOHDh5c5fWXDhg0jIyPVitLm5ORcu3bt4MGDZ86coQ7bzMzMFIlERtdFDuiHvb090dsrLCzM3t4eIcThcJo1a6afeSvlcrlCobC0tOTxeHp4OR0ieltYWVkZ3dUwh8NhMBhWVlZGd4fGYDCIaw66A6k0ole4DiMXKK2LvtyX4ZjIysoSIV1+0SpNbZRfxqszkYjG91xi7aD4HFccibiAr3UkEonEzMzM6Ab6kKfEPEf7wi8JQmVunuF/7Ok6JTp4OSU9TiCWc5Ozq/BGSSSSoqIiIz0lSqVSQ/hstO7ilZLwgFgW5IuzU8WNmmrKuxDPlQwh8sqSSqU8Hs/oBvoolUqZTGZubk5MhWJEOBwOn8+3tLTUyXu+cHrnGYtPkc2dBx4f3fNt9Q9bJuO9SiQehRvjvydCSC6XG2PkcrncSN9zc3NzCwsLo4vceE+JUqkUx3ErK6sKp4nSv7ULZ45doBo1uGr7nzEnD5BXVsZ7+2m8p8Tc3FyJRKLzyLt373737l1y1rG0tDSiymiFpe0AqMu8vLyqPxrVxMQkLCwsLCysars3bNhwwYIF1YxBDZPJDA4ODg4O1u1hCUFBQZXNoapp0aLFqVOqK/+PHz/u2bPHEEaEOzg4zJgxY8aMGdU5CIPBmDVr1qxZs6q2u52d3bRp06ZN07ZAl2ZmZmZGV7uryui5junSpUtcXNyyZcsaN25MrnR3d1+6dOmzZ888PT3VtndwcBg2bFhERIRaUdfnz5+Hh4frI2JghMjL9FGjRk2ePHny5Mnjx4/XT3YQAFA1DET99lXiSL04QHVR5iDE5IUI0TYjKcZXTYyMF5bRXaa24jnYk8uiz5kIJoUth72Haj4GQVaBKJ/OLoF1VsuOJaZJeHwrkaZAANCkd/fGAf6q1PWDJyk3736gMR4AAKg1vh4Q0rqZH9l8+jr28JkoGuMBNScwMHDyF8OHDydWGl3qFwBQ1yQlJSGE2rVrR3cgwLjR9m1nbW29evXqN2/eiESi5OTkgoKChISENWvWlNmRViaT4eXQfvQxAAAAA4eVSBAiJSrS8QuwKVM64wokpy3pgvEpkwnJpbi4lkxuUSGeg6prm1IikebRVijfwNXzKDFhe0bCZ7oiqcucG1g71ld1UX986wNktIEBwjA0b0oH6pqfd9yEzyoAAFQfhmG/LltILR225KftQpGuuzACAAAAVULMwjZixAi6AwHGjf7uMDwez9X1/+zdeYAU5Z0//qe6q8/pa24OFUEURQQ5RLwh6hePYMQjQlRWc6D+NG5igtnVkI2yMa5GiWsOQxKzmGRl16yKGjkURBFFkUNOI3IKM8ww093TR3V1dR2/P2qmu7qZ6WOmuque6ffrr6qe6q5PP1P9dFd96vM8J3m93sKbAp1WrFihLX8GAOiLhclKECqK7gnCrPGrlZRh2SnG25AVSazTqEgqzDmkSbvKt7UbFYnJNZ2WlSA8vg8JQmNMujhTRNjZFj2897iBwQD05bILR10wJTMhyo49x1au/YeB8QAADBrTJo7/2pXT06tHjrU/u3SZceEAAAB0W7Vq1aZNm8aOHYsEIQyQ8QlCGKwURXn99dfPP//8a665BiPBAkAxyl1ByLDZN6OIBiYI67SrSrR6EoRZg+Pzx5Ag7J07UOOpzxyuqCA0Su4oo+8fNCgQgAIeuOcS7eqTv35PlOS+NgYAgOI98a/fs9ts6dXHf/v8sePV8tMdAADMqaOj46677rLb7UuXLrVarUaHA3RDghD0J8vy66+/ft5551133XUff/yx0eEAADUsxK1dVYjeQ4BmVxAS4yoILZ7sCsKqSRA66ussmissfBvqsfqkHWW0HRWEBhlxRmNdkye9umU9pnYDk5oy4aSvXJyZx/3A4eArf99lYDwAAIPGqJOH3/WNG9Or0Tj377/6vYHxAABAlWtra7vqqquOHj364osvTpkyxehwgHqmSBCKorhjx4533nnnk08+OfGvmzdvPnYM18XoIMvySy+9NG7cuOuuu27z5s1GhwMAlMmtINR/iNHsCkIjhxit165WzxCjhGEcTZnkKBKEeTSOak4vc+F4PFgtE1WaCsOQiRefml5tPRQ6djhsXDgA+Tx432UWS2airF8ueV8QJAPjAQAYNH5y//y6gC+9+vtlL+/eu9/AeAAAoGr97W9/mzx5cmtr6+rVq2+44Qajw4HBwOAE4cqVK6+77rq6urrx48d/5Stfee6553I2SCaT8+fPHzp06Pjx45955pmuri5D4oQiPfjggytWrFi4cOFzzz1n+LySgiCoCwsXLryrx7PPPqsoirGBAUBfcucg1H2IUdPMQUhsDsaRebNKNGhYJBXnbM6MMoohRvNoGpU1DSFGGTWKdhpCQshmFBGCWY0Z3XjtFWemV1uORf775W0GxgMAMGjU+n3/cs8306uSJP/rk88aGA/oS5blxYsXp68aPfLII+rj6WtKAABm8NZbb40fP37evHlz587dsWPHjBkzjI4IBgnWqB1/+eWXc+fO3bBhQ/7NHA7H5s2bV65c+eCDD37ve9977LHHHnvssW9+85sMw+R/IhjiF7/4RXq5paXl0UcfNTCY9vbu687LlmXNIj5s2LDLLrus3HuXJCkYDIqi6HA4yr0vfSWTyUgkQgihbgzrRCIRi8UYhrFYTFEbXbxYLMbzPHVhE0JCoRAhpKOjQ7+XVEjAQkj3tEkx7jjH6/jihMipgGaN6zrGO3V9/VK43AEm2Z0BTXa2RIprxmAwyPM8z/PlDE1/2i5R9mUGbBTCXcdbWhi73cDY8jOwS2Rr7YQhpOeelkM793tPDeR9RpZgMBgOhzs6OqjrW2KxmKkux9QOs9X4HPFIUl3dtG7v+TNP7nXLcDhMCJFl+iZ+CwaDTqfTVM1eDFmWg8GgIAgcp/d41GWWSCTC4bAavL6vfOct41as/Ycodh+Ez/z+/a9cNMztsuV/VvHo/ZUYj8c5jqMubEJIJBIRRdHoKPojGAyyLEtj8OFwmGEY6k7i6O0SU6lUOByWZdlm062zKoc511z+2z//74EjLerq39euX75q7blnnkbj6Se9XWIoFBIEQdfTT0IIeeuttx544IETH29padF3RwAAA3HgwIF58+bNmzevqanJ6FhgUDEmQbhly5arr746nb8p6KqrrrriiisefPDBxYsXf/vb3/773//+X//1Xz6fr/AzwTjjxo0zNgCW7eXwtlqtQ4cOtZf/YrQoina73WazVWBf+pJlWY281wY0M7XN7XY7dWdoNptNbXajAymZehqvb+S84lKY7rSZlRVsOjeLXbE4Gbk7u8YSzshmr6kjoaPqoiXRVWQk9h7ljEx/2i7RNaQpMxqAopCuqH34UANjy8/ALtFut3vqvbGOqLoa/jJY0v/dbrezLEtpl0j07lgG6JxpJ21cvU9dPrIvFAul6pprTtzMhJEXifZfLNRFLooiy7LliPy0kQ3XzRzz8t/3qKvhLv6lN/7xnVsn6fX69P5KTKVS6jeR0YGUzGazWSwWGiO32+1Wq5XGyNVvT+oip7dLJJR8Ddnt9oXf/fY3f5S5B/rnS174v//8GY2/tajuEstx4jx06FCLxXLiPV4mT1oDQLWZP3++0SHA4GTAqd2RI0dmzZpVfHZQxbLs008/bbPZnnjiiVdeeWXfvn3vvvtuIFDCrfRQYYbfztDc3ByLxQghixYtUoNhWXbSpEnnnntuBfYuimIqlfL5fE6nswK705HdblcUxefzUXfph2VZhmF8Ph91Z2iEEJvNRuNNDx6PhxCib+SCVCP1TD3I2lI+p87NItr9pKf8zsbwTuOaXahtFo/sUJctXLimuEgSiURNTY3a8hTRdonsyBHasTIt0biZD35ju8Tm0cNiHf9Ql4OHOkpqqEQi4fF4KO0SBUEw1VFx/owz0glCQsgX2zuuuLGXrLZaKGOqyIvE87zT6aQuclmWk8mk1+t1u91Gx1IalmU9Ho/X6y1Hmz9431dWrPkiwafU1aX/s+1bt04L+PT5OUrvr0SLxWKxWKg7yAkhsiyLokhj5IIgsCxLY+Qej0f9AjU6kNLQ2yUKgiBJks/nM3++at6N1/3hf5d/sPlTdXX33v0r3//43n+aS91vLXq7RI/HU44T5+nTp2/atOmTTz5RV1taWtRRRocONe9djAAAAHox4HfMPffc0+86/Z/97Gfjx48nhGzfvn3WrFmpVErX0EBPhv++T49DO2fOnPnz58+fP/+b3/xmZbKDANBvFqKZmU/vOQgJIYxNcz5p4ByEhDCeuvSyEg8Rhb5hCfvH2dxENOOE823HDQzG5JpGNaeX+WgiehwzMRvjrEnDXe7Mr5qt72MaQjCv5kbPbTdNTK9GY8nfLf3IwHgAAAaTXzz0fe18N08s+XM8kTAwHtDLpEmT5ve4+eab1QepS/0CAAD0Q6W/7T744IM33nhD+4jf7z/vvPOuvvrqYp7OsuwPfvADdfn9999/9lnMC21eGI0BAPqB0SQI5TIkCIl5EoTehsyKIivxkHGxVJTFYbcH/OnVJBKEfWs8bYh2tX3fsb62hLJibdZzpp2SXv18+7GuIGUzPEFVueeOaZ6azPRp/7Xsk2PtUQPjAQAYNKZOGHfT1VekV1uPd/zy+f82MB4AAACAAap0gvDFF19ML0+ZMmXdunWdnZ0ff/zx//zP/xT5CldddVV6+dFHH43Hy3D5GPRA3dBDAGAG5a4gJKwmQSgamyCs064q0U6jIqk8Z3NjejlxrLQhx6tK06gh2rvUjx9oMzCYKjfpkpHpZUVRPv3wkIHBAORXG3B969Yp6VU+Kf7mTx8aGA8AwGDy2IPfdWhGS3rq939ube8wMB4AAACAgah0gnD16tXqwje+8Y2NGzdedtllVqu1pFdoamry+7srD7q6ulatWqVziAAAYByG0VQQKuUdYlQxeIjReu2qEgsaFUnlOYdkJqlNth9X5BCC8E8AACAASURBVGoZXrVUdrfDPyQz3XL7F6ggNMz4aafYHZk7n7auxyijYGrzb5taX5eZh+zFVz49dCRsYDwAAIPGyJOG3Xv719OrMY575JnfGRgPAAAAwEBUusbr0KFDhJBx48Y9//zzpaYG07RjV65Zs+aGG27QJzgYXCRJUheWLFlSX999IX7y5MlXXHFF308CAINlVxCWYRA/7RCjYowoMmGMmVuC8WYnCKNVdOuxtoJQTolCMORoqM+zfTVrPG1IuLV7+Nn2/ceIQgiT/xlQFnYHO3bKSds2HFRXd285ysUEt8fg6ZYB+uJ22++ad/5jv3xHXRVF+Zkl7z/96FeNjQoAYHB46N5vvfDyGx2h7hsv/vS35ffNu2XcmNHGRgUDsXLlyk8//VRdbmvrHrQjfU0JAABgEKtogjASiSSTSULIQw895HA4Cm7fK57nOzsz47AdOXJEn+Bg0Glv7x627sknn0w/yDDMqlWrJk+eXO69i6IYDodlWe73oW6UZDIZiUQYhqFukNhEIhGLxaxWK3VziUej0WQySV2DE0K6uroIIcGgnqVvkp0QZ/eyQsRgqI0oek5oahdYZ3pFkUPHv1RYr46vXwJZcTIWonQXz3HtR8UiWjIcDguCIAhCmYPTWU6XmKpxaf96fO9+t8WkWS/Du0RPcyalLXDJw/846Gny5dk+LRwORyKRYDBIY5eYSqVMGPaYiU3pBKEkyh+u2T3xklO0G4TDtFZohcNhh8MhiqLRgZRGluVwOCyKIs/zRsdSmkQiEYlEQqFQWdt81pUj//jXTW3HY+rq8pW7vz5rzBmnDehuDMO7xH6Lx+Mcx9E4RXokEhFF0YRdYkHhcJhlWZnCQQIikYjVanW5XIU3NRN6u8RUKqV+gdL1Cf3enXN//PRv1WVJku/7t8df/s0TxoZUPHq7RPVUSN/TT0LIhx9++NWv9nIPTUtLi747AgAAMKGKntq5XC6LxSLL8kBKuD7++GNFUdKroVBIj9BgEOr1dFRRFJ7nK3CmqiiK3KPc+9KXGrMav9GxlIbSBieao8XoQEqmxqxz5HLW5RhZiRHZr+fLW2q0q4oYzXmkghjF5WO4noxCPFhMS1J6nOd0ida6Wu1fheMdztNH9vFUgxneJQZOybqa33Gw3d3gKeaJlB4qxMRd4pmTh1hZiyR2B7bjoyMTLjpJu0FZusSKoP17n9LIy93mrJX51twJj/3nhp6dKr/78+YnfzKggTQM7xL7jdJDhSByI1AaOe1dInWR/9MN1z7/0vL9X3YnkN7/ZNvaDzdNP7/sNyLrgsYGVymKUo7voEQi0evjNDYRAABAqSqaILTZbPX19eFwuLGxsfDWffjrX/+qXW1qauprS6hyzc3NBw8eJITMnz+/trb7YvS55547a9asCuxdvSXc7/c7nc6CG5sKz/Msy9bX11N3bzjHcXa7vaGhgbqbrO12O8/zDQ0NRgdSMvUWDX0j55XmLs1QLoFaB8vo+foKGS5pKs9rPRbGZ1jL874GuSdB6EjFfUW0pCRJNTU1Hk9RKSLzyO0S6+tbnQ6JT6p/tcY40x7/hneJfo9vnYVR5O5bo/jjxbaVJEnJZJLSLlEQBDMeEg1kzIShuzcfVdc+39rm8wa0ExOqTV1XV2dMeAMgy7LT6fT5iipONQ81U+X1et1ud+GtzYTjuM7Ozrq6unK3+Tdvu+h/Xvts38HuwVfWfXDoy1Zh4jnD+v2ChneJ/eZ0Op1Opxk7lkJYlhVFkcbICSEsywYCgcLbmUwgEKirq6OuzentEgVBsFgstbW1djtlA3cveuD/u/X7P06vPvrsH6+/6gq2vzPpVBK9XaI69I7ukd90001/+ctfduzYoa52dHT88Y9/JIQMHz5c3x0BAACYUKVP7c4888z169e3t7f3L7G3e/fupUuXah855ZRT+toYqlz6ysWCBQtGj8Z8AAB00M5BSAiRSVznHdiyr8amojq/fikYbwM59oW6rEQ78288qDCMs7kxfqg7Vcsfazc2HDOzOe2BYXWhI92HR/u+VmPjqXITLx6ZThAKSXH35iPnXniqoREB5GO1MP88/6L7H3ot/chv/vTh75++0cCQAAAGjVmXXzp1wtkff7pLXd39xf7lb6278arLjY0K+ufWW29NL+/atUtNEFJ3NwwAAEA/VPqmcrV4a/ny5f14Lsdxd9xxhzqLYdqVV16pT2QAAGACDMkaYlQhnM47yJlxUIzp/PqlYGoyI20qXJeBkVSeoykzlkCyE6OF59M4sjm9HG5FWxlp4sWnMprpMg9+dty4WACKcu0VZ551Rua+zA0fH0qlpDzbAwBA8X763e8wml8Gq9/70MBgAAAAAPqh0gnCG2+8kWXZn/3sZ9FoaUUbPM9ff/31mzZt0j5YW1t7+eW4PwsAYPBgiEO7qhBB59e3Zicg5WRfW1YA48yUSypJvWslzc3mz2RqxZiRaVrz8zVmpuFMdHGyiIv7hgnU19Q2Zgb4bT0czrMxgBlYLMytN56bXk3wqU93oRAZAEAfE846feqEcenVD7duNzAYAAAAgH6odL38qFGj5s+f/5vf/Gbu3Ln/93//53A4Cj+HkB07dsybN2/btm05jz/88MPUjVMPFaNOeUUIefLJJ9NzEJ599tm33367cUEBQAEMyerVFSVJmL627Rdr9rSgUu8z0leIQzOeqpQiUopYbcZFU1E2zTSKspCSk4LFgS/03tXUZdpKURQuHPc0UDZX3GAy7NTaYHt3Srv1EAo6gQLTJmfNyLBx8+Ep555kVDAAAIPMtHPHfbSte+66PV8cCHVFav34nUYZRVGWLl362WefqasdHR3qQiqVMi4oAACACjFgQO1HH3305Zdf/vvf/z59+vTnnntuwoQJeTbeuXPnr3/96z/96U85I4sSQs4+++z777+/nJEC3dra2tSFJUuWaB/3+/0XXnhhufcuSVIwGBRFscgsuHkkk8lIJEIIsdIwv7pWIpGIxWIMw1gsla6NHqBYLMbzPHVhE0JCoRDRnEHpwxInmnPqaCwYF/R8fUZJ+TWr8UhnUt/4S8GmFG1OrLP1S8VZ4IJCMBjkeZ7n+bIGprsTu0SeKNoN2r88wgbMeDHFDF2ixGa11dEDR+pJ4Ymcg8FgOBzu6Oigrm+JxWKCoHPpsI4CjZmbDNqOdh071s6y3S0cDocJIbIsGxPZAASDQafTaeZm75Usy8FgUBAEjtN7MOoySyQS4XBYDb4Cu/N7SGO9+3hndyut37h/ztfO6N9LmaFL7J94PM5xHHVhE0IikUj6rke6BINBlmVpDD4cDjMMQ91JHL1dYiqVCofDsizbbJTdJ6eefo4dfWr6EUVR1rz/4fTzJxsXVFHo7RJDoZAgCDqffhLyzjvv3HnnnSc+3tLSou+OAAAATMiABGF9ff2bb745ffr0jRs3Tpo0afr06ddee+1pp51GCOno6Fi3bl04HD5+/PjHH3/80Ucf7dixo9cXGTJkyGuvvUbdL0iopF4viTIM4/V6KzPXNNujAvvSkSRJLMtarVbqIk83OHVXw9XWpq7BSc/1QZ0jZ1za8ROtVtGqc8uwhLEQpfsKvpWIBra8xeXRrrKSoBQKhtKOhZwQuc2X9d5Jgmcb6gwIqxAzdIne7HrBZIQvJhh0iWUy5JTMPQaSKHd18M0ndf+D1JhNG3kehh/k/SPLMqVdohpzJdt80jlDV63bpy5v390my4zd3p/rwmboEvuH0kOFUN6xUNrmJv8a6gu9XaIaOb0dywWTxmsf3LLrH1dcdL5RIRWJ0kOFEGK1Wi0Wi+6R+3w+hmEURcl5nLpf0QAAAP1gzA+CiRMnvvbaazfffPPx48fXrl27du1a9fHly5cvX7684NOHDx/+xhtvjBo1qsxhAt2am5v3799PCFmwYEF9fT0hxGq1Tp069dJLL63A3kVRlCTJ7/c7nc7CW5uJWpkUCASoO2Gw2+0WiyUQCFD3O95isfA8HwgEjA6kZD6fjxCid+Rym+Zec6fLWlOjc8uIFieRuu+tdtoVt3EtL9U2aKvjvQ7WUiiYZDJZU1Pj8Xjyb2Y2J3aJtiHN2lmwXAzjN+VHwAxdooPJHnc3qRTzoUsmk/F4nNIuURAE03aJo88aTsgn6dVYUBwzrjtUtXbQtJHnIQiC0+lUu3SKyLKcSqW8Xq/b7TY6ltLY7XaPx+P3+yvW5pdccFo6QcgnxcMtif6NMmqGLrF/1EvhNH48CSGiKNIYuSiKlLa51+v1+XzURU5vlygIgqIogUCAuulj1NPPxsbGk4c2f9naPXzR1t2fm//gobdLDIVCyWRS98hnzpy5Zs2aTZs2qTnCtra2xYsXE0KGDx+u744AAABMyLBTu8suu2zbtm3z5s1bs2ZNSU+cNWvW888/39DQUKbABgFJkmKxmN/vL7xp0bq6urxeL10XGdPRzp8/f/To0cYGAwBFszCEVUh3klAhZRh+zZpJEBIpd/zqSmK0cxASoiTjRkVSeWx2jjMVraL3XiqXz221WaVUd21tPBg1Np4qN+zUrFLX1kNhoyIBKB6mIQQAKJ9pE8d/2fqWuvzRth2SJFutNF05AULIjBkzZsyYoS7v2rVLTRDSdQUMAACgf4z8ths2bNjbb7+9fv36m2++uZjRzy+66KLXXntt+fLlyA72JZVKvfDCC2PHjp08WYdR7xOJxO9///sZM2Y4nc5AIOByucaMGfODH/xg7969A39xAIC+MCQz6YtC9E/gMdZMXa8iJXR//RJkJwhJVSUIvVnvXYzFjIqEAgxxBzL51HgQbWUkt8fur8sUZ7QcChkYDECRTju1vrkx041s3PylgcEAAAwy0yaek16OxOKf7TtgYDAAAAAAJTF+cJiLL7744osvbm9v/+CDDzZs2PD5558Hg0F15uG6urq6urpRo0ZdfPHFl1566bBhw4wO1rwEQVi2bNmiRYu++OILQog6p+NArFq16u677z548CAhxOVynXXWWW1tbZ9//vnTTz+9ePHi733ve48//rjJxwBJpVLqwsKFC9URnGw22+TJk3udfRoAzMROSHeqrFwVhGkSr//rF41xZI0BpfBVlCC0Op0WGyunuktFRVQQ5uWp80SPd6nLsU5UEBps6IjarmB3FXIrEoRAiakTT3599R51ecv2o4Ig9W8aQgAAyHHhpAna1Q+3bj/7jIFekIFKUhTlD3/4wyefdI8hHwp1/7pLX1MCAAAYxIxPEKqampquv/7666+/3uhA6JNMJpcuXbpo0aIjR47o9ZqPP/74ww8/LMuyzWb76U9/ev/996vzXW3ZsuX73//+e++9t3jx4vfee+/NN99samrSa6e6a29vVxeWLVumfby2tvbiiy8u994lSQoGg6IoOhyOwlubSTKZjEQihJBi6npNJZFIxGIxhmGoGwkkFovxPE9d2KTn3Kmjo0Pfl5V9bLq+necjAqfz63tlNn1wC4lIXO/4S8Dz2gxhPHg8VSiYYDDI87w6CxRFeu0SLW6X3NWd64p1dOp+IOnCJF0iW2NLL0c6uoppq2AwGA6HOzo6qOtbYrGYIJThzgD91DW70suth0Pt7cctFoYQEg6HSc9MhHQJBoNOp9PkzX4iWZaDwaAgCBzHFd7aTBKJRDgcVoOv2E7HnVn3+uqeAPjUex98du645lJfxCRdYj/E43GO46gLmxASiUREUSy8nfkEg0GWZWkMPhwOMwxD3UkcvV1iKpUKh8PqxQejYylN+vTzpOZ6p8POJ7u79HUfbrr+8kuMjS0/ertEtZZA97OGtWvXzp8//8THW1pa9N0RAACACRmQIJRleefOnaFQaOrUqS6Xq/AToA+xWOyPf/zjf/zHf7S2tur4sg899NDPf/5zQgjDMC+++OKNN96Y/tOkSZNWr1599dVXv/POO5s3b1YX1OK8E2kvkBlysazXS6IWiyUQCLBsJY58tkcF9qUjSZJYlrVardRFnm5w6q6Gq61NXYOTnuuDukcuE7vSs8xYRP1bxpr56rEQwciWd3u1axYpWTAYSjsW0lvk1poasSdBKHOcOd+USbrEmrrMoZIIc6yVJUyBp6BLLJ8hp2SmeRZTcqSTbxjqJT2doZkj74sZDvJ+kGWZ0i5RjbnCbT51Ytakg1t3tk05d3ipL2KSLrEfKD1UCOUdC6Vtbv6voV7R2yWqkVPdsdgtlvFnnv7xp7vUxzfv3GPy90LpoUIIsVqtFotF98hra2sZhlEUJedx6n5FAwAA9EOlfxBEo9Gvf/3rK1euJISMGjVqzZo1p556aoVjGBxWr179jW98Y8SIEdddd117e/vy5ct1ScI9//zzanaQEHLfffdps4Mqh8OxdOnSsWPHxmKxLVu23HDDDatWrer11jNtgYshIzM0Nzfv37+fELJo0aJ0peO4ceMuvPDCCuxdFEVJkvx+v9PpLLy1maj/uIqlUXVkt9vVBDB1v+MtFgvP84FAwOhASqbeH6B75EHJneo5O2NtcsCp8+tLjhqlZ4xGlhGNbXnO5iCp7nkWnYxkKxRMMpmsqalRq7op0muX2B7wJ1uOqcsML5jzI2CSLrFuaH16WRYlJ+twegvcYpVMJuPxOKVdoiCY9HhQnXbmMEI2p1djIWn0WQHSczuUmSPviyAITqezr1u+TEuW5VQq5fV63W534a3NxG63ezwev99fyTY/NxBobvS0He+exPTT3e39OFZN0iX2g3opnMaPJyFEFA3+rdI/oihS2uZer9fn81EXOb1doiAIiqIEAgGTz2ByIu3p56VTJ6cThF8cOiIqpKHWvIcQvV1iKBRKJpO6R37llVe+++67e/Z0D8Td0tLyyCOPEEKGDy/5ThoAAADqVPrU7uGHH1azg4SQ/fv3/+QnP3nhhRcqHMPgMGHChLVr144fP15d/clPfrJo0aIBvub+/fvvv/9+ddnr9T766KO9bnbyySffddddTz31FCFkzZo16nikJ24Wi8V6Xa6Y9CXROXPmjB49uvIBAED/MCRzdaA8cxBqMiuGzkFICGEcNUpPgrCq5iAkhNg8NenlVNSArwmKeOqyik1jwWjBBCGUz9ARtdrV1kPhcytx6xHAQJ0/6ZTXVu1Wlzd/imkIAQB0M23iOellRVE2fbrr6ukXGRgPlOqSSy655JLugWF37dqlJgipu80OAACgHyr9bZczG1x6ljgoVXNzczo7SAi57bbbBv6a99xzTzzefXn6W9/6Vp7bsu655x6G6R7dbNGiRWqhXo5t27all3ft2lX5iW3SA0SsWLHipZdeeumll1555ZV9+/ZVOAwAKBVDMpO+lCNByFgzRWyKbHyCML2sJCmbM2aAWG+mDlI04j4SitTUZdWMxoNoLiP5al0ef6YbaT0UMjAYgOKdP/nk9DKfFD/dpeckBQAA1eyCSRO0qxu3bjcqEuifvXv3vtRj1apV6oMnDjoKAAAw+FS0glAQhOPHj2sfueGGGyoZwCB2yimn9DpmevHefffd1atXp1dvvvnmPBufdtppU6dO/eijjwghyWTyoYceUlO/PM9/+eWXx48fX79+vbaisbW19brrrrv77rtPO+20IUOGNDY29jvO4qXTz+mySEKIw+HYsGHDmDFjyr13URTVeb9FUSz3vvTF8zzHcQ6Hg7rBoziO4zguFotRd6NfLBYTBMGQQtsB4jiOlKFEWLJZSU9JgyRzsYTOr2+TLOmKCUVMGNvyDOtIzyUncZGCwXAcR+OZaq9domy3ZZaFVDQYYjSPmIRJukTGmVXlE2ztrD+9Kf9TqO4SU6mUyQfobhrui3V1315w5ECn+slV77KiboQ0QgjHcaIoUneoyLLMcRzDMIbMdT0QRn08x5/VoF1978Mvzjq9tFHaTNIl9kMsFkskDP7G7594PC6Kosm7xF7F43FKJznjOM7lclF3tNDbJQqCwHGczWaj7gtU25nXOO0jhg051DN4/vpNW818CNHbJXIcl0wmdY98x44d06dPP/Gm9tZW3EkDAACDX0V/r9vt9tNOOy1dwjVt2rRvf/vblQxgEHM6nV6vNxKJ9PsV0lMPEkIaGhqmTZuWf/vLL79cTRASQv72t7/t379/1KhRe/fufeCBB9QHL7jgAu32kiT9+te/Vp/4L//yL/2Os3i9TnyYTCY///zzk08++cQ/6UuSJI7jWJal7gwtmUxyHOd0OnudWtLMEokEx3Futztd3koLnufVK25GB1IydS4i/SP3WEgmgyfo/vpumc0c3FLC2JZ3sZnMj8THEoWCUS/9UHcdv9cuUc5OB0Y7OtmA6aZAM0uXaGcIQ0hParirPVTwuOU4juf5RCJBY5eoXis0OpB86oe693eP1EiOfdkVj3MMQxKJBCHE4XDke6YpcRwnyzJ11/EVReE4jrr+kBCSSCTUr/4Kt3lTvb2x3n28s/vDtXHz4dtvGlvSK5ilSyyd+kPL5B1LrxKJhHqTjdGBlCyRSLAsa7OZ7tafgtRvT+ranN4uMZVKcRxnt9upu7M25/Rz0rgz0wnCT7bvjkSjrFm7Sqq7xHL8Svz88897HfKq8uNgAQAAVF6lLwTce++9agLJarW+8MILA/n9yvP8s88+u2DBAv2io9tAbrjbt2+ftnzwvPPOK/ivmT59+mOPPaYuS5K0ZMmSxx9//Jxzznnrrbf6HYa+Ghsbv/zyS0LI1Vdf7fF0D842bty4W265pQInTuqd+H6/n7obfnmet9vt9fX11F0oVK9YNTY2Undi7HQ6eZ5vaipQD2RCXV1dhBDdI4/KPq4ni8RYxEa9X1/m6uSeanZGEZsa6wlj2Nl70lsr9SzbJMFb6M0qilJTU5Pu02jRa5cYHjakU7ON3+GoMd+nwDxdosvrTkR6roYklYKfO0VRUqkUpV2iIAgNDQ2FNzXOqDOHbVpzUF0WeJElrvomr3qQ1NXVGRlZfzmdTp/PdBn6/NQbDrxer9vtNjqW0nAcFwqFGhoaKt/mF0w5NT0N4Y49x/2BOoe9hM7NPF1iqWKxmMvlovG3lpo1MXmX2CuLxcKybJ5JK0zr2LFj9fX11B0t9HaJgiCwLFtbW0tjBaH29HP6BVNfWb2u+0883xGOjj/rDCPj6xu9XWI8Hk8mk7pHfuutt+7fv3/Pnj3qaiQSUUcZHTJkiL47MoMVK1YEg0GjowAAgHzUm48rptKndt/97ndff/31d955p7m5efTo0QN5qdbW1oceeggJwrSB/J5+8cUXtWPWTZw4seBTcrZ58cUXf/7zn5uqTCF9C/9//ud/DvBgA4BKyp6DMKn/DizZaXuJJ2xNH5uWHePIXMSpujkIs9OcYpS+YY4qqabOk04QxoJRY4OBYSNqtauth8L1zV6jggEo3rTJJ6cThElB/HRn69RJZR9XAwCgGlww8Rzt6gdbtps2QQg5WJZ95JFH0qu7du1SE4TU3e1djHXr1q1bt87oKAAAwEQqnSBkWfb111+/+eabV6xYsXDhwkWLFvU7pbRt2zZ9Y6PdQBKEf/vb37SrZ5xR+IdsQ0NDY2NjelLJw4cP79ixY/z48f2OQXfpIUYXLlzY1w3aw4YNW7BgAXV3WQIMdpneTCEpQmRCdC2Bsmaf6clJQgxLEJKsBGHcsDCMYPNmJQhT0ep6+6WqqfN0HOyeWzceRDLVYDkJwpZDoXFTkWUBCkybcop2dePmw0gQAgDoYvxZZ3jc7ljP6Jcbt26/+9abjA0J+hKPx5944oljx471+tdQKKQu9DptDaXGjBljdAgAAFCaoUOHVmbIGQMGh6mpqVm+fPkPf/jDn//854cOHfrtb3/bj6HSJElavHhxOcKjV7/HEAuFQjt27NA+UuQUfWPGjEknCAkh7733nqkShO3t3RdSly1blmezzs7Ou+++W/e9i6LY1dXl9XqpGylFEIRoNOr3+6kbPIrn+Xg8fvz4cerG04vFYoIgdHR0GB1IyQ4dOkTKcOLkrA3XNGZW93y2XZH1/Bz5Ep3awWL2/mNnymrYyF2BCJcZeyvF79m1U2HyHcCdnZ0ul4u62xp67RKV7Fk9ju7b1+433fsyT5coMJmJebqOh3fv3p1nY0JIZ2fn8ePHWZalsUtMpVLpL3HTcrjYZKL7n7Jn+4GTzmbVUZf9fr+hcfVHMBi02+3UjV0sy3IoFKqpqaHuBn+e5w8ePCgIgiFt3lDn6gh2D1mzdv1nV1xUm397LfN0iaXiOC6RSHR2dhbe1GQikYgkSebvEk8UCoWsVit1YxcTQvbv39/Z2al26RSht0tMpVKRSMTn81E3Y+WJp59njjrlk52fqcvvfbS54K81o9DbJR45ckQQBO2k5v3z7LPPPvfccwU3a2lpGeCOzOPOO+90u93q+TsAAJif1WqdPXt2ZaZ+N+bUzmazPfPMM1//+te/853vnHnmmU888cTcuXOLLCXkeX7Dhg1PPfXU+vXrqTs1NaeNGzfm/MA66aSTinlizoDsH3300X333adnZANT5CXRpqYml8ul+95FURQEweVyUZcgtFqtoii6XC7qPl8Mw8iy7HK5qLsaLkmSxWIpx3FYbupAvrpHzrJZWSKXm1UkPXdhU7xEc83HZSes3bDGt7qyhiV0WYniyBeMq0eZ49JZ712iy8WzVkXsnoSRTUkmfF/m6RI9tZlEgphI2a02a96Zw1wul8PhoLRLtFqtJjwYcjQMrTm6v7srCR5LuFyuZDJJytAlVoDT6VSPFqMDKY0syzzPu1wu6q6GMwyjNrghbT5hbOOa9w+ry3v2hqys3W4r9rTTPF1iqdTJFKg7yAkhqVRKbXOjAylZIpFgWZbGyA38eA4EvV0iy7KpVMrlclGXIDzx9HPyuDPTCcLDrW1xXmioNeNtQ/R2iU6nU5dfiY2NjYU3IqQyl2Urg2GYOXPmGB0FAACYUUVP7aLR6IgRI7SPiKIYjUZvvfXWe+65p5ivXkEQ4nEMQaazLVu25DxSZIKwVJ2mWwAAIABJREFUublZu2q2++Oam5v3799PCFm0aFFfs1gPGTJk1qxZ5Zg6URTFzs5Ov99P3Rkaz/NdXV319fXUXfrhOC4ajaZniadIJBLheZ7GWeJFUSSEjBw5Ut+XTchfRjQ3LZx8crOVKeoUrkhK8LjUllkdPrSB8en8FoonRr8QtmZWRwxpYAJD+t6cuN3umpoa6gp9+uoSo16PEOpOsbgtVt2PpYEzT5fIj47tfTvzPdvob/APyVf343a7WZYdOXIkjV2iIAgNDYbV9Rbp1DMOpROEobbEyJEjg8EgIaSurs7QuPpDrTihrtBHlmWPx+P1eqkrquY4LplMjhgxwpA2v/zSrnSCUEhJXTFH8aOMmqdLLFUsFovH4zknL1QIh8OiKJq/SzyR1+tlWTYQCBTe1GSi0Wh9ff3w4cONDqQ09HaJgiCEQqHa2lrq7qw98fTzqhmX/m7Zq+kNjoUi500616Do8qG3SySEJJPJgZ8yPPLII5MmTeqrOLulpUWdknDYsGED3BEAAID5VfTUTr0smB7OWysSiVQyEtA6cOCAdrW+vr7Ik4r6+nrtqpqNM4/0z/Q5c+aMHj3a2GAAoHgMk3V1QCFJnXdgyb7nVEro/PqlYBxZ/a0icPrfsGBirCeTIBRjmFcvn5q6rKxwPBjLnyCEchuqmYaQiwldnRypqk8vUAvTEAIAlMkFk8YzDKPW5xFCNm7dPuvyS40NCXrFMMz111/f11937dqlJgipu80OAACgHyr6bWez2W6//fZK7hGKcfDgQe1q8Teo5hSCRCKRgY8FDwDAkJwEodDXlv1kza7rlXidX78kjpqs1SRnUBzGYL2aYTOjGCEgH09d1mi08SDyqQYbNiIrQdtyqJcb4ABMaOQpdUOaMv3Jxs2HDQwGAGAwaagNnHZKZjSmD7dsNzAYAAAAgGJU+naYu+++uxzDOcJAtLa2aleLH5NEnX4sTZZlVIICwMAxJKtv0b+C0Jr1+sYmCJnsBKHCV1eSzObJvP1UFBmvfHIqCGPBqFGRgGroiKxx85AgBIpMm5wpGdyyvSUpiAYGAwAwmEybeE56edP2XSkRHSwAAACYWqVnjzjrrLMuvvji9evXpx+pra2tre2+Bdvn8+WfiTAajcbj8Vgs1tXVVd5AqwnHZRWsFD/h84mTBITDYRrnmQAAUyl3BSFjzerlFIk38L6V3ARhsroShFkVhBhiNC9HjdPmsKWSKXU1jgSh0RqGeO0OVkh2X/hrPRSaSDBRDdBh2uRTXl3RPadpUhC37Ww9H6OMAgDoYdrE8X959U11OcEnd3y2d9K4s4wNCQAAACAPA6aXv+uuu9QE4eOPP37ffffV1NQUfMqJVq1aNWfOnBguJuohkciaf6v4CkLxhLvhkLgFgIHLqSAkJKXzDizZry8bO8Ro9j0ZKUODqTi2JvONIwspRZQYNt99QlXOHajpagury4mokXNnAiGEYZjmk/xf7utUV4PHqyu7D1Q7b2JWOnDfwU4kCAEAdDF1wtna1X2HjyBBCAAAAGZmwIy7N910U0NDw9ixY3/0ox/1LztICJk5c+aDDz6ob2BVSxCyqnOKryBMpXKv2mMOZwDQQ1ZPohC9JzdlslNQiqGTp1qyg5GqaxiinHSgUmVvv1RWe+a+LiklGRgJqNyeTLlzMqH3rQwAZTO0OWtO03BXdd2bAgBQPo31ddrVLgyhDwAAAOZmQDrH4XDccccdLDvQ4sVrrrlGl3ggJ01bfJIvJ7NISqk+BADoW04vpHuCMPv1TZUglKsr68Nkjysui9X19kvF2rQJQiRTjedwI0EIVHI5bQ7NDQfhCCqSAQD04fdmTRodiWGAAQAAADA1Y+q95s+fv2fPnlAoNJAXGTp0aHryQhgIrzfrJmKeL/Ym4hMrCJEgBICBY6opQchkJwiVKksQWrLvFlKk6nr7pcqqIBTQVsZzumzpZR4JQqBKwO9ML3ehghAAQCcet0t7y3UszhkYDAAAAEBBxiQITz/99H379g0wvdfU1NTe3q5XSNWs3wnCSCSiXbVYLHV1dX1tDABQtDInCHNeXzE00WIx03inFZdTQaiggjAvq2ZEVlQQmoHDlUnZooIQ6OL3ZeYUCHWhghAAQB8Wi8XjznSwEQwxCgAAAOZm2IxxJ598slG7hhxDhw7VrhafIMypAR0yZIjD4dAtLACoWtkVforuObOcOQiJsQnC7AG3q2wSPsxBWBKrXZsgRDLVeE5npoIQCUKgS62mghBDjAIA6Mjnyczh0hVDghAAAABMbaATARYjFovt3Lmzo6PD4XA0NzePGjXK4/EUfhpUytixY5cvX55e7ezsLPKJwWBQuzpixAg9wwKA6lWBIUYZQpTuVWOL9hiGMAxRzBFMxTHWrN8hmIMwP6tmDkIRFYQm4MgaYhT/EaBJwJ8pcMEQowAAOvJ5PIR0D3YViWIOQgAAADC1MiYIFUV55ZVXnn322ffff18UMxdNHA7HJZdccscdd8ydO1c7ODsY5eyzz9auHj16tMgn5iQIc14HAKB/yj4HISHmyslZrJnCwSoroTuhghAJwnxYTYIQFYRmoE0QypKcEiSb3ZpnewDzCPgyFYQYYhQAQEdeTQVhJIYEIQAAAJhaufJzLS0tM2fOvPHGG9etW6fNDhJCksnk22+/fdttt02ePHnnzp1lCgCKN378eO1qIpHIyfz15fDhw9rVadOm6RkWAFSv7CFGy5AgVLS7MEOCMM3wYCrLwmIOwhJYbZiD0Fy0cxASQpIoIgR6aCsIwxFUEAIA6MaHBCEAAADQoywJwr1791500UVvvfVW/s22bdt20UUXvf322+WIAYo3bty44cOHax85ePBgwWcJgpBTa3jBBRfoGxgAVKsKVBBqc3IGJ6UYzTSEilxdGTLGmpMgRH4lHysqCE3GoZmDkBAi8DiAgRp+TQVhKiVxnGBgMAAAg4k2QRhFghAAAADMTf8EYTAYvOaaa4rJMBFCIpHI7Nmz9+zZo3sYUDyGYWbNmqV9ZOvWrQWfdfjwYUkzFtzo0aPHjh2rf3AAUH0qMcRo1i6MTrRoKwirbojRrAIsDDGan1UzfCXmIDQDpysrQZhEghDoUaupICQoIgQA0I/f60kvR2IxAyMBAAAAKEj/BOG99977xRdfFL99LBabM2eOhGuChvra176mXd2yZUvBp2zbtk27+vWvf13nmACgelWggtBUQ4xqgqnuCkIZQ4zmlTUHoYBclPGc7uwKwiT+KUANv9+pXcU0hAAAesEQowAAAEARnROEGzZsWLZsWanP2r59+yuvvKJvJFCSK6+88vTTT0+vfvTRRwWf8vHHH6eXLRbLvHnzyhIZAFSjCsxByGhWDE8QaqroqixBmDsHYZUVUJbKqmkuWZIVWTEwGCCEOFwYYhRoFfBlVxB2oYIQAEAfPk0FYTTOybLR5xoAAAAAfWMLb1KKZ555JucRj8fzta99bdq0aSeffHJdXV1XV9f+/fvffvvtFStWiJqphn75y1/edNNN+gYDxbNarQsWLJg/f766umXLliNHjpx00kl5nrJhw4b08uzZs8eMGVPeEAGgilTXHIRZQ4xWWYLwhDkIq+vtl8pqy2ouKSWyDltfG0MFODDEKFArZ4jRrggqCAEA9OGpcaeXFUWJcQltTSEAAACAqeiZIOQ47o033kivDhky5NFHH73ttttcLlfOlvfff/+BAwceeOCBV199VX1k48aNkUjE5/PpGE+1EQQhvaxNvhZp3rx5jzzyyNGjRwkhiqK8+uqr9913X18bt7W1bdy4UV22Wq0//vGPS48XAKB3lZiDEAlCc8AchCWx2rKaS0pJSBAay4kKQqBWAEOMAgCUR046sCsaQ4IQAAAATEvPIUbXr1+fSHSfW06ZMmXr1q3f+c53TswOqkaOHPnyyy8vXLhQXZUk6cMPP9QxmCrE85mhgbTJwiI5HI6nnnoqvbp06dI8Gz///PPpgTLuvffec889t9TdAQD0rewJQlMNMcpoEoRKtSUIMQdhKaz2rAShmEI6ymC5FYQJ/EeAGn5fVoIQQ4wCAOglJx0YxTSEAAAAYGJ6Jgi3bt2qLgwbNmzlypVDhgzJvz3DMI8++ugdd9yhrn7++ec6BlOFOI5LL8disX68wi233DJ79mx1+ZNPPlmxYkWvmwWDwfRYsmPGjPn3f//3fuwLACCvTAKvHHMQar/+yvP6pajqCkLMQVgCNneI0eo6WkwIQ4wCvVxOm9ORueegK4oEIQCAPnwej3Y10q+LMwAAAACVoWeCcM+ePerCokWL6uvri3zWL37xi0AgQAgJhUI6BlNtjh49qk0QRqPR9vb2frzO888/f8YZZ6jL//zP/xwMBnM2kCTpW9/6VltbGyGkvr7+9ddf93q9/Y0aAKAv2q8n/RN4DKN5faMrCKs5QWjJGWIUFYR5WXKHGEU6ymB2B8swmbsZMMQo0CWgmYYwjCFGAQB04vfmJAhRQQgAAADmpWeCsLW1lRASCATmzJlT/LPq6+vVqrVwOKxjMFVFkqSf/vSnOQ8+/PDD/ZiJMBAIvPXWWyNHjiSE7N27d9asWQcOHEj/de/evVdeeaU6c+Spp5767rvvnn766QMKHQCgNwzRVkqVYw5CTaIFcxAaJ2eIUSQI80MFodkwDHG4Mp0JEoRAF+0ooxhiFABALzlDjCJBCAAAAGbGFt6kaGpV2f/7f//P7XaX9MQLL7zwT3/6k9PpLLypRjKZfP3112+66aaSnjWY/OY3v9m/f39ra+uGDRsOHTqU89c//OEPK1asuOyyy4YOHXrOOef80z/9U5Eve8opp3z00Ue33Xbb6tWrP/jgg7PPPvvyyy8//fTTDx48+OabbyaTSYZhbrvttqeeeqqxsVHv9wQAoCrvEKDZcxAanWWxVnGCMHeI0ep6+6WyZlcQigLSUcZzuGw8l1KXMcQo0CWgTRBGUEEIAKAPLxKEAAAAQA89E4SJRIIQcuqpp5b6xKamJkJIbW1tSc+KRqNz586t5gRha2trNBr1eDwzZ87Ms1k/hhttbGxctWrVyy+//Mtf/vKDDz5444031Mc9Hs/s2bMfeOCB8847r/9xAwAUVt4hRomphhhltAnC6kow5FQQyqUXvlcVqz17iFEUXJqA02Xr6llGBSHQpTagHWIUFYQAAPpABSEAAABQRM8EYTKZJD3ZvpLEYjFSeoKQ56v9PHbRokVlff0bbrjhhhtuiEQiu3fvjsViTU1NZ555pt1uL+tOAQAIIQyxKJm1ciTwTJQgZDRDjCqy0dnKymIsFsZiSb9rRaqut18qa3bBpYQKQhNwuGzp5WQC/xGgid+HOQgBAPTnralhGEZRus9mItGYsfEAAAAA5KFnglCSJEJIJBIp9YkdHR2EkFJns/viiy9K3RH0g8/nmzZtmtFRAEC1KXcFoSbRYvwQo5rv4iobYpQQwlitmgQh8iv5sDkVhCk0l/EcTk2CEBWEQBXtEKMhJAgBAHRitVpqXK4Yx6mrUVQQAgAAgInpmSBUHTx4sNSnfP7554SQcePGlfSs559/vtQdQVURe4aqe/LJJ9P1qWefffbtt99uXFAAUKTMHIHlmYNQm4A0Oidnqd4hRok6DWGqewo3BWNm5mW1ZVUQiik0l/Gc7kyCEEOMAl0C/kyCUBRljhPcbowUAgCgA5+nJp0gxBCj5qcoytKlSz/77DN1Va1hIISkek5SAAAABjH9E4Rbtmwp9Sl79uwZOnRofX19kdu3tbU9++yzf/7zn1lW//hh0Ghra1MXlixZon3c7/dfeOGF5d67JEnBYFAURYfDUe596SuZTKp1wNbsucHML5FIxGIxhmEsFkvhrc0kFovxPE9d2ISQUChENGdQOpJ9mRpCnucETuddOCU5/f2REpKhMryF4jlSYvrDJgrJ/O0ZDAZ5nqdukO08XaLCZJLBiXi8HIfTQJiqS4zHsoao6gqG8jRXMBgMh8MdHR3U9S2xWEwQBKOjKBZjydzBkIgng8GgTOFAwcFg0Ol0UtTsKlmWg8GgIAhcz0VYWiQSiXA4rAZvYBisJesmg30HWoY2e/I/xVRdYkni8TjHcdSFTQiJRCIinRP0BoNBlmVpDD4cDjMMQ91JHL1dYiqVCofDsizbbLbCW5tJntPPGnfmDozjnUGz/b6lt0sMhUKCIOjenu+8886dd9554uMtLS367ggAAMCE9E+w7dmzZ8qUKSU9ZdeuXRaLpZhnBYPBUCgUDof7Gx1UkV4viTIM4/V6K5NaZntUYF86kiSJZVmr1Upd5OkGp+5quNra1DU46bk+WI7IZc0chBZLGXbBZA4ShijGNj6jGWKUUeT8wVDasZC+I7ewbCadIhv8vziRqbpEuzOruEeR83000CVWhlNTcSUkJYoi1zLPQV4SWZYp7RLVmA1v80DApV2NJ8SC8ZiqSywJpYcK6fmVRWnklLY5XV9DafR2iWrkVHcsJ/7W8nky91vEuITZ3hqlhwohxGq1WiwW3SP3+XzaaSPTqPsVDQAA0A/6/yCQJGnz5s39eGL/ngXQl+bm5v379xNCFixYoNanWq3WqVOnXnrppRXYuyiKkiT5/X6n01l4azNRK5MCgQB1Jwx2u91isQQCAep+x1ssFp7nA4GA0YGUzOfzEULKEXmHZJN6TtBsNtbv1HkXCdZOkt3LrNVibOMnHc50EYeVYWryBpNMJmtqajyeAkUeZpOnS7TabeniApvVarYPgqm6RBeb1XoOmyNPcyWTyXg8TmmXKAiC2Y6Evni87vSylFJ8Ph8tkWsJguB0OtUunSKyLKdSKa/X63a7C29tJna73ePx+P1+Y9t82JCs4VsYS74uRWWqLrEk6qVwGj+ehBBRFGmMXBRFStvc6/XS2JnT2yUKgqAoSiAQsNspG+U4z+mn3+dNLydTKbMdTvR2iaFQKJlM6h75zJkz16xZs2nTJjVH2NbWtnjxYkLI8OHD9d0RAACACVF2agdQvPTP9Pnz548ePdrYYAAA+qQZY5OQ3BtXq0yVv/1CmOzVE25zhsqzWDP/FRn/EaAKa826oi1J9I2OCwBgTlZNypDGscer0IwZM2bMmKEu79q1S00QUnebHQAAQD/g2w4AAKqc4df0mcKbDGaat2/4v8LcmKxcMlrLFLT/FEXG/wRoYmWzzgRlHMAAADqxZCUI0bsCAACAeSFBCAAAJlTunJlJc3InTn0x+GXVT1bf2y9JdoIQzWUGmvlMq/LzCzSzWrK6FFQQAgDoxaLpYCVZyrMlAAAAgLHKMsSo1WodOnRoIBCora11OBx6vawkSZFIJBwOHz58OJVK6fWyAABgbuW+5m7wNf2qrwozabLWhHJbqgoPFvOxoIIQqGXNHjlNwgEMAKATVBACAAAALfRPEP74xz/+4Q9/6Pf7dX/ltEQi8Ytf/OLf/u3fyrcLAAAY1EyVlKrqMTa1+VEUYBWQW0CI5jIeoykRwD8E6KKdQZPgEjYAgH4wByEAAADQQuchRmfPnr1o0aKyZgcJIS6Xa+HChbfffntZ9wIAAMapZALP6EuijKmylZVX5W+/BLlzECIfZQKYgxDolVNBKIq4hA0AoI+sCkL8YAMAAAAT0zlBeNttt+n7gnnceeedFdsXAAAYpwwn1ebNSVXfFQTMQVi8as8lm5G2ghD5QaDLCRWESBACAOhDOwchelcAAAAwM50ThKNGjdL3BfMYPXp0xfYFAACDlqmu6Vdhhiwr6VV9b78UufnBKjxazEd7BRAVhEAXqyWrT8EchAAAerEwGGIUAAAA6KBzgtBut+v7gnk4nc6K7QsAAIxTjkuWZqrEQllYGq5OF4AhRk0Hk2gCvVhr1pmgJOEABgDQhwVzEAIAAAAl9EwQvvjiiyNGjNDxBfPz+/0rV66s2O4AAKBimKqag9BU2cqKy5rCDfmVvBhLToLQqEAgAxNDAr0s2QlCXMIGANCL1YoEIQAAANCB1fG1LrnkEh1frSCbzXb55ZdXco8AADBYmDUnh+wCFA8HiwnkZm0xSCPQI3eIUVQQAgDoJHuIUfSuAAAAYF46DzEKAACgh2qqIKzySfiyh2g0Lg4KoFjNhHL+KbgGCBSxZCcIUeMCAKAXbQeL3hUAAADMDAlCAAAwucE+B2GVwxSMRcvJRSGfagY5KZYqTPEDvazZQ4yKEi5hAwDoI2sOQvxgAwAAABNDghAAAKqbqU7aTRVM5VX52y8IqSjzOSFpi38LUANDjAIAlIn2/iFJkgyMBAAAACA/PecgBDCV9FAey5Yta2pqUpfPOeecCy64wLigAKAfynDJ0lxFa+aKpsK0VXHIrZQG7WUC2hIBgjkIgSo5FYSYJQsAQC9WizW9jN6VCu+///7u3bvV5ZaWFnUBw8MCAEA1QIIQBq22tjZ1YeHChekHLRbL2rVrJ0yYUO69i6IYiUQIITzPl3tf+komk5FIxGq1sixl/UMikYjFYjabLedyrflFo9FkMmm3240OpGTqQR4Oh3V/Zcktp0vcU6lUOKrzLqyiaEvvS5KiZXgLxWNTqfQhK0tS/vaMRCKiKIqiWIHAdJSnS9TeVZ1KCeU4nAbCbF0iwzDpGrUEz+dprkgkEovFwuEwjV1iKpUySYMXxCcT2tWurojTTWVnnkwmqbsKJstyJBKRZVkQBKNjKY36i6Wrq8vYNo9zWe0Wi8cL9sBm6xKLF4/HOY5zOBxGB1Iy9XufugYnhEQiERrDJoREo1GbzVZTU2N0IKWht0sUBCESiTAMQ93ZUJ7TT1FMZZYl0Wy/b6nuEpPJpO7tuWnTppkzZ544DkQ6UwgAADCIUfmTHaAYvV5zkWU5FApV4Nq6JEnqRXyr1Vp4azNRw6ZxIBSxB3VXw9NHi9GBlEw9TsoduSzLuu/Cojn7UxTF2Ma3yLL2kM0fTPo4L3dU+srTJWpPxBXZ4P/FiUzXJTKZJpNFKU9zoUusjJxrSSkhRUvkWmr6gbrI1W8Hio6WtHTHYmzkOT+VxVTheEzXJRaN0kOFUB45Kf+vxHKg62sojd4uUW1ww7vEfijyt1Y5zmUGiNJDhRAiSVI52jMUCvU6SjyN33cAAAClQoIQBq2mpqZDhw4RQubMmePz+Qghdrt94sSJ119/fQX2rv5m9fv9TqezArvTEc/zLMvW19dTd88vx3F2u72hoYG6q+F2u53n+YaGBqMDKVkoFCKElCPyTokVe87RHA67363zLhIHbKSnko1lrcY2vuB0ps9xLRYmfzCSJNXU1Hg8ngoEpqM8XWK7jU3f6G6328z2QTBbl8gwjNKTIXS5XXmaS5KkZDJJaZcoCILZjoS+eLzHtKv+QICWyLVkWXY6neqPJYrIsqwoitfrdbvdRsdSGo7jOjs76+rqjG3zpJB1gdXpytelqMzWJRbP6XQ6nU4aP55q8p7GyAkhLMsGAgGjoyhZIBCoq6ujrs3p7RIFQbBYLLW1tdRVEOY5/XS7tP+FAj/vK4/eLlEdekf3yG+++eZQKLRlyxZ1NRQKvfTSS4SQYcOG6bsjAAAAE6Ls1A6geDZb9wiCixYtGj16tLHBAIDJmGnaP80kfOWYb9H0tHMQVuP77z+0lglYmKzORKFskE6oatbsK9qShD4FAEAfFkvm54EkowrN7BiGueuuu9Kru3btUhOE6WtKAAAAgxhlN5UDAEC1UcqeBjH8kqg2wWB4MJXGVPW7Lxlj0eZTDQwEumn/IwB0sWQfvZKE/DYAgD60NYWyjF9sAAAAYF5IEAIAgAmV+5q7ma7pM2YKxgDIEJYEBZfmkvPxVXAREOhhsTDaA1jC0QsAoBNrVoIQt18AAACAeSFBCAAA1c1UWRZTBVMZyA+WIrvgEu1lvJwKQhn/FKBKVo0LKggBAHSCCkIAAACgBRKEAABgQuUtqjPxabqJQysTjDFakmqvNzUdJncOQhzDQBOrVTtLFo5eAAB9aMdwljFBMQAAAJgYEoQAAGByg/2SZbWnfDCpXgm06SgMMWoGObO44Z8CdNEOgocEIQCAXiwYYhQAAAAogQQhAACAaVTf5VmMmVkaTXMhF2UGuUOMIsUCVMmqccEQowAAOrEwmtsv0LsCAACAiSFBCAAAJlTuYSfNNKxllY+xWe0FlKXJGtCy+g4WE7LkHMD4pwBVWBYVhAAA+sMQowAAAEALJAgBAAAAAAAAAAB0wOAGOAAAAKAEa3QAAOUiiqK68OSTT9bW1qrLEydOvOWWW4wLCgAAAADAdDBqMQAAVK3//u//3r59u7rc0dGhLqSvKQEAAAxiSBDCoNXW1qYuLFmyRPt4TU3NtGnTyr13SZKCwaAoig6Ho9z70lcymYxEIoQQq9VqdCylSSQSsViMYRjtnPBUiMViPM9TFzYhJBQKEc0ZlI4kr0h6DkBBEDriOu/ClkrZe5ZFUQyV4S0Uz87z6S9jWZbzt2cwGOR5nuf5CgSmozxdYiqV0i6X43AaCLN1idor+IlEIk9zBYPBcDjc0dFBXd8Si8UEQTA6imJFo1Htajgc7uhwGxVMvwWDQafTSVGzq2RZDgaDgiBwHGd0LKVJJBLhcFgN3thIiu9SVGbrEosXj8c5jqMubEJIJBKh9Ap1MBhkWZbG4MPhMMMw1J3E0dslplKpcDgsy7LNZjM6ltLkOf3M+S+Y7fctvV1iKBQSBEH39nz33XdvvfXWEx8/evSovjsCAAAwISQIYdDqdVgP9WSvAldLZVm29Cj3vvSlxkxjms2iYXQspVFbm7qwCSFqzOWIXGYYbSFDuRvHPI1f8KNH6UGep0vM6avN9tbM3CXmjwpdYmUwltwDmJbItUx7kBdE6UFuno5Fe/gWE495Ii8VpYcKQeRGQOQVRu8vljyRU/H71mxRFYNhmHJ8Bzmdzl4fp7GJAAAASoUEIQxazc3NBw4cIIQsWLCgvr5efXDSpElXXnllBfYuiqKiKH6/v6/fmqallrLV1dWoYXYwAAAgAElEQVSxLGX9A8dxLMvW1dVR9zueZVme5+vq6owOpGSdnZ2EkHJE3ilZxZ4Mod1uD7h03gVns5GeGjz1sNH39UsiOJ3pu+sZhskfTCqVqqmp8Xg8FQhMR3m6xHZNV2Oz2cz2QTBbl6i93uR0OPI0VyqVSiQSlHaJgiCY7Ujoi8fTqV31en20RK4liqLT6fT5fEYHUhpZliVJ8nq9bjdlVZscx/l8vtraWsPbXNulOBzOgkev2brE4tntdrvdTuPH02KxiKJIY+SyLLMsGwgEjA6kZD6fLxAIUNfm9HaJai11bW2t3W4vuLGp5Dn9dLlc6WVFKcvp0kDQ2yV2dXUlk0ndI7/22mvffPPN9BCjbW1tixcvJoQMGzZM3x0BAACYEGWndgDFS4+YMX/+/NGjRxsbDAAAFIYZsArprTYeAKCfeh1vAwAABgi9K3Wuvvrqq6++Wl3etWuXmiCkcRRWAACAUlF2UzkAAAAMKriAAjTDFUAAAAAAAAAAoBQqCEE3Bw8e3LFjR2dnZ01NzbBhw6ZMmULd1O4AAAAAAFVIQQ03AAAAAABAlUGCEAZKkqS//OUvTzzxxO7du7WPu93u2bNnL1y4cMyYMUbFBgAAAAAAvUMFLAAAAAAAQBXDEKMwIJ2dnddcc80dd9yRkx0khHAc99e//vWcc8751a9+ZUhsAAAAgxiKfQAAAABMDvXZAAAAYGZIEEL/JRKJa665ZvXq1Xm2SaVS3/3udx955JGKRQUAADB4od7HXDAFIVANk2gCAJQDelcAAACgBYYYhf5bsGDBxx9/TAgZN27cHXfccd5553k8ns7OzjVr1ixZsiQUCqW3fOSRR8aPHz979uxKhieKorrw5JNP1tbWqssTJkyYO3duJcMAAACAKoEqAQAAAADq/OUvf9m5c6e63NHRoS6krykBAAAMYkgQQj/94x//+N3vfudwOJ5++um7777bYslUo1555ZU//OEPb7nllrVr16qPKIry/e9//5prrnE4HBWLsK2tTV1YsmSJ9nGPx3PBBReUe++SJAWDQVEUK/mWdZFMJiORCCHEarUaHUtpEolELBZjGEZ7NFIhFovxPE9d2IQQ9T6A9BmUjiSvSHoOQEEQOuI678KWStl7lkVRDJXhLRTPzvPpL2NZkvK3ZzAY5Hme5/kKBKajPF1iKpXSLpfjcBoIs3WJ2vxTIpHI01zBYDAcDnd0dFDXt8RiMUEQjI6iWNFoVLva1dVltmO4GMFg0Ol0UtTsKlmWg8GgIAgcxxkdS2kSiUQ4HFaDNzYSWZbTy/m7FJXZusTixeNxjuOoC5sQEolEKL1CHQwGWZalMfhwOMwwDHUncfR2ialUKhwOy7Jss9mMjqU0eU4/c/4LZvttQG+XGAqFBEHQvT3XrVt3++23n/j40aNH9d0RAACACSFBCP30hz/8gRDy6quvXnXVVSf+taGh4c0335wxY8aHH36oPnLo0KG33nrrq1/9asUi7PWSKMMwLperAldLZVm29Cj3vvSlxkxjms2iYXQspVFbm7qwSc+nrByRy4xFW4ZT7sYxuvEzYxAV/OhRepDn6RJzhmAy21szc5eYPyp0iZWRcwCb81ApyLQHeUGUHuTm6Vi0x28x8Zgn8lJReqgQRG4ERF5h9P5iyRM5Fb9vzRZVMRiGKcd3kMvl6vVxGpsIAACgVEgQQj/97//+749+9KNes4Mqh8OxdOnSsWPHpu8bXbt2bSUThM3Nzfv37yeELFiwoL6+Xn1w8uTJV1xxRQX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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "\"/Users/nichollsh/Projects/AGNI/out/profiles.pdf\""
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr_P = atmos.pl .* 1.0e-5 # Convert Pa to bar\n",
+    "ylims  = (arr_P[1], arr_P[end])\n",
+    "yticks = 10.0 .^ round.(Int,range( log10(ylims[1]), stop=log10(ylims[2]), step=1))\n",
+    "\n",
+    "plt = plot(framestyle=:box, size=(800,400), dpi=300, \n",
+    "                leg=:outertopright, legcolumn=-1,\n",
+    "                tickfontsize=fs, tickfontfamily=ff,\n",
+    "                guidefontsize=fs, guidefontfamily=ff,\n",
+    "                legendfontfamily=ff, legendfontsize=fs, \n",
+    "                legendtitlefontfamily=ff, legendtitlefontsize=fs,\n",
+    "                leg_title=L\"$d$/AU,  $\\alpha_b$\",\n",
+    "                left_margin=4Plots.mm, bottom_margin=4Plots.mm)\n",
+    "          \n",
+    "\n",
+    "p = Plots.palette(:thermal, length(dst_arr))\n",
+    "for (i,this_atm) in enumerate(atm_arr)\n",
+    "    plot!(plt, this_atm.tmpl, this_atm.pl* 1.0e-5, lc=p[i], linewidth=lw, label=@sprintf(\"%.3f,  %.2f\", dst_arr[i], this_atm.flux_u_sw[1]/this_atm.flux_d_sw[1]))\n",
+    "end \n",
+    "\n",
+    "xlabel!(plt, \"Temperature [K]\")\n",
+    "xaxis!(plt, minorgrid=true)\n",
+    "ylabel!(plt, \"Pressure [bar]\")\n",
+    "yflip!(plt)\n",
+    "yaxis!(plt, yscale=:log10, ylims=ylims, yticks=yticks)\n",
+    "display(plt)\n",
+    "savefig(plt,joinpath(output_dir,\"profiles.pdf\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for (i, atm) in enumerate(atm_arr)\n",
+    "#     dump.write_ncdf(atm, joinpath(atm.OUT_DIR, \"$i.nc\"))\n",
+    "# end"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 1.9.1",
+   "language": "julia",
+   "name": "julia-1.9"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/atmosphere.jl b/src/atmosphere.jl
index 04b31c64..b3879e56 100644
--- a/src/atmosphere.jl
+++ b/src/atmosphere.jl
@@ -30,12 +30,6 @@ module atmosphere
         "target_olr",       # OLR is equal to target_olr
     ]
 
-    # Gases which are not allowed to participate in radiative transfer, although 
-    #    they are fully accounted-for elsewhere in the code.
-    const BLACKLIST_RT::Array{String, 1} = [
-        "O2"    # Disabled because its CIA pairing with N2 behaves strangely.
-    ]
-
     # Contains data pertaining to the atmosphere (fluxes, temperature, etc.)
     mutable struct Atmos_t
 
@@ -98,7 +92,7 @@ module atmosphere
 
         p_boa::Float64      # Pressure at bottom [Pa]
         p_toa::Float64      # Pressure at top [Pa]
-        rp::Float64         # planet radius [m]
+        rp::Float64         # surface radius [m]
 
         tmp::Array{Float64,1}   # cc temperature [K]
         tmpl::Array{Float64,1}  # ce temperature
@@ -209,6 +203,14 @@ module atmosphere
         # FastChem stuff 
         fastchem_flag::Bool             # Fastchem enabled?
         fastchem_work::String           # Path to fastchem dir inside AGNI output folder
+
+        # Observing properties 
+        transspec_p::Float64            # (INPUT PARAMETER) pressure level probed in transmission [Pa]
+        transspec_r::Float64            # planet radius probed in transmission [m]
+        transspec_m::Float64            # mass [kg] enclosed by transspec_r 
+        transspec_rho::Float64          # bulk density [kg m-3] implied by r and m
+        interior_rho::Float64           # interior density [kg m-3]
+        interior_mass::Float64          # interior mass [kg]
         
         Atmos_t() = new()
     end
@@ -383,6 +385,11 @@ module atmosphere
         atmos.p_boa =           p_surf * 1.0e+5
         atmos.rp =              max(1.0, radius)
 
+        # derived statistics 
+        atmos.interior_mass =   atmos.grav_surf * atmos.rp^2 / phys.G_grav
+        atmos.interior_rho  =   3.0 * atmos.interior_mass / ( 4.0 * pi * atmos.rp^3)
+        atmos.transspec_p   =   1e2     # 1 mbar = 100 Pa
+
         # absorption contributors
         atmos.control.l_gas =           true
         atmos.control.l_rayleigh =      flag_rayleigh
@@ -674,6 +681,43 @@ module atmosphere
         return nothing
     end # end function setup 
 
+    """
+    **Calculate observed radius and bulk density.**
+
+    This is done at the layer probed in transmission.
+
+    Arguments:
+        - `atmos::Atmos_t`          the atmosphere struct instance to be used.
+
+    Returns:
+        Nothing
+    """
+    function calc_observed_rho!(atmos::atmosphere.Atmos_t)
+
+        # transspec_p::Float64            # (INPUT PARAMETER) pressure level probed in transmission [Pa]
+        # transspec_r::Float64            # planet radius probed in transmission [m]
+        # transspec_m::Float64            # mass [kg] enclosed by transspec_r 
+        # transspec_rho::Float64          # bulk density [kg m-3] implied by r and m
+
+        # get the observed height
+        idx::Int = findmin(abs.(atmos.p .- atmos.transspec_p))[2]
+        atmos.transspec_r = atmos.z[idx] + atmos.rp
+
+        # get mass of whole atmosphere 
+        atmos.transspec_m = atmos.layer_mass[end] * 4 * pi * atmos.rp^2
+
+        # subtract all atmosphere mass ABOVE the observed layer
+        atmos.transspec_m -= atmos.layer_mass[idx-1] * 4 * pi * atmos.transspec_r^2
+
+        # add mass of the interior component 
+        atmos.transspec_m += atmos.interior_mass
+
+        # get density of all enclosed by observed layer 
+        atmos.transspec_rho = 3.0 * atmos.transspec_m / (4.0 * pi * atmos.transspec_r^3)
+
+        return nothing
+    end 
+
     """
     **Calculate properties within each layer of the atmosphere (e.g. density, mmw).**
 
@@ -1126,7 +1170,7 @@ module atmosphere
         for i in 1:atmos.gas_num
             g = atmos.gas_names[i]
             gas_flags = ""
-            if !(g in atmos.gas_soc_names) || (g in BLACKLIST_RT) # flag as not included in radtrans
+            if !(g in atmos.gas_soc_names) # flag as not included in radtrans
                 gas_flags *= "NO_OPACITY "
             end
             if g in atmos.condensates       # flag as condensable 
diff --git a/src/energy.jl b/src/energy.jl
index 65b8dd86..007e5a26 100644
--- a/src/energy.jl
+++ b/src/energy.jl
@@ -169,8 +169,8 @@ module energy
         # Set composition for each gas,level
         for (i_gas,s_gas) in enumerate(atmos.gas_soc_names)
             for i in 1:atmos.nlev_c 
-                # skip unspecified and blacklisted gases
-                if (s_gas in atmos.gas_names) && !(s_gas in atmosphere.BLACKLIST_RT)
+                # skip unspecified gases
+                if (s_gas in atmos.gas_names)
                     # convert VOLUME mixing ratio to MASS mixing ratio
                     atmos.atm.gas_mix_ratio[1, i, i_gas] = atmos.gas_vmr[s_gas][i] * atmos.gas_dat[s_gas].mmw / atmos.layer_mmw[i]
                 else 
diff --git a/src/phys.jl b/src/phys.jl
index 6e0e14b2..0e975507 100644
--- a/src/phys.jl
+++ b/src/phys.jl
@@ -44,6 +44,9 @@ module phys
     # 0 degrees celcius, in kelvin 
     const zero_celcius::Float64 = 273.15
 
+    # Newton's gravitational constant [m3 kg-1 s-2]
+    const G_grav::Float64 = 6.67430e-11 # NIST CODATA
+
     # Molecule mean molecular weight, kg mol-1
     const lookup_mmw = Dict{String, Float64}([
         # molecules
diff --git a/src/plotting.jl b/src/plotting.jl
index 57150fb6..00f69e18 100644
--- a/src/plotting.jl
+++ b/src/plotting.jl
@@ -384,7 +384,7 @@ module plotting
         plt = plot(dpi=dpi)
 
         if incl_surf
-            plot!(plt, xp, yp, label="Surface",  color="green") # surface planck function
+            plot!(plt, xp, yp, label=L"Blackbody @ $T_s$",  color="green") # surface planck function
         end
 
         plot!(plt, xe, ys, lw=0.9, label="SW spectrum", color="blue")