fig-heatmap-dae.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Generate a figure showing heatmaps for a random and trained policy and a denoising auto-encoder.\n",
    "\n",
    "Nb: To generate this figure, you require the raw data files (which are quite large) in the benchmarking folder.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import os\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import scipy.io as sio\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from pylab import figure, cm\n",
    "from matplotlib.colors import LogNorm\n",
    "\n",
    "# Retrieve data\n",
    "data_random = sio.loadmat(\n",
    "    os.path.join('benchmarks', 'observations3_random_normalized.mat')\n",
    ")['observations']\n",
    "data_trained = sio.loadmat(\n",
    "    os.path.join('benchmarks', 'observations_MID_fixed_direction.mat')\n",
    ")['observations']\n",
    "data_dae = sio.loadmat(\n",
    "    os.path.join('benchmarks', 'aaron_dna12_mid_rollouts_data.mat')\n",
    ")['observations'].squeeze()\n",
    "\n",
    "# Keep the same number of points\n",
    "n_pts = min([\n",
    "    len(data_random),\n",
    "    len(data_trained),\n",
    "    len(data_dae)\n",
    "])\n",
    "\n",
    "data_random = data_random[:n_pts]\n",
    "data_trained = data_trained[:n_pts]\n",
    "data_dae = data_dae[:n_pts]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Use position components\n",
    "# data_random = data_random[:, [0, 1]]\n",
    "# data_trained = data_trained[:, [0, 1]]\n",
    "# data_dae = data_dae[:, [0, 1]]\n",
    "# bins = np.linspace(-1.5, 1.5, 50)\n",
    "\n",
    "# Slice out velocity components\n",
    "data_random = data_random[:, [7, 8]]\n",
    "data_trained = data_trained[:, [7, 8]]\n",
    "data_dae = data_dae[:, [7, 8]]\n",
    "bins = np.linspace(-.5, .5, 50)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Convert to heatmaps\n",
    "hm_random, _, _ = np.histogram2d(\n",
    "    data_random[:, 0],\n",
    "    data_random[:, 1],\n",
    "    bins=bins\n",
    ")\n",
    "\n",
    "hm_trained, _, _ = np.histogram2d(\n",
    "    data_trained[:, 0],\n",
    "    data_trained[:, 1],\n",
    "    bins=bins\n",
    ")\n",
    "\n",
    "hm_dae, _, _ = np.histogram2d(\n",
    "    data_dae[:, 0],\n",
    "    data_dae[:, 1],\n",
    "    bins=bins\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.set()\n",
    "plt.set_cmap(\"RdPu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACk8AAAP4CAYAAAB+vPlSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAuIwAALiMBeKU/dgAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1hUR9sG8JsuCEoRUVE0Ykewi9hBjbEr9kIUY4k90WhCNDG+SV5LJGo0aGwx0SgEO5YYeywIFhSsKJYAKihd2oLs9wcv+3H2LMvusivt/l2X1+WZPWfOLCwwc+aZefSkUqkURERERERERERERERERERERERERESVhH5pN4CIiIiIiIiIiIiIiIiIiIiIiIiI6F1i8CQRERERERERERERERERERERERERVSoMniQiIiIiIiIiIiIiIiIiIiIiIiKiSoXBk0RERERERERERERERERERERERERUqTB4koiIiIiIiIiIiIiIiIiIiIiIiIgqFQZPEhEREREREREREREREREREREREVGlwuBJIiIiIiIiIiIiIiIiIiIiIiIiIqpUGDxJRERERERERERERERERERERERERJUKgyeJiIiIiIiIiIiIiIiIiIiIiIiIqFJh8CQRERERERERERERERERERERERERVSoMniQiIiIiIiIiIiIiIiIiIiIiIiKiSoXBk0RERERERERERERERERERERERERUqTB4koiIiIiIiIiIiIiIiIiIiIiIiIgqFQZPEhEREREREREREREREREREREREVGlwuBJIiIiIiIiIiIiIiIiIiIiIiIiIqpUGDxJRERERERERERERERERERERERERJUKgyeJiIiIiIiIiIiIiIiIiIiIiIiIqFJh8CQRERERERERERERERERERERERERVSoMniQiIiIiIiIiIiIiIiIiIiIiIiKiSoXBk0RERERERERERERERERERERERERUqTB4koiIiIiIiIiIiIiIiIiIiIiIiIgqFQZPEhEREREREREREREREREREREREVGlwuBJIiIiIiIiIiIiIiIiIiIiIiIiIqpUGDxJRERERERERERERERERERERERERJUKgyeJiIiIiIiIiIiIiIiIiIiIiIiIqFJh8CQRERERERERERERERERERERERERVSoMniQiIiIiIiIiIiIiIiIiIiIiIiKiSoXBk0RERERERERERERERERERERERERUqTB4koiIiIiIiIiIiIiIiIiIiIiIiIgqFcPSbgARERFpJjU1FdevX8e///6L9PR0mJiYwMLCAnXr1oWjoyPs7OxKu4lERERERFTJ5OTkICwsDI8ePUJqair09fVRtWpV1K5dG/Xr14ejo2NpN5GIiIiI3iH2D4moMjp8+DCePXsGALC1tcWYMWNKuUVU3kRERGDMmDHIzc2FhYUFTp48CSsrq9JuFmlRZGQkhg4dirdv36JatWo4cuQI5/dLCYMniYio3Nm/fz98fHzUvs7Q0BAmJiawsrJCnTp10KJFC3Tq1AldunSBsbGxDlqqG5mZmVi+fDn279+PnJwched4enpi+fLl77hlFZ+XlxdCQ0Pf2f2GDRuGFStWvLP76cJnn32GoKAg2bGbmxt27NhReg0qZOzYsbhx44bseMSIEfj+++9LsUVEREREurFmzRps2rRJUGZhYYF//vkHZmZmWrvPb7/9Bj8/PyQnJyt83d7eHmfOnFH4WmZmJkxNTbXWlvJI07FuSTx48OCd3k/bLl++DG9vb0HZ+fPnUatWrVJq0f8LDAzEkiVLZMcGBga4e/duKbaIiIjo/7F/WD6wf6g+9g+pLJBKpVixYgUSEhIAAKNHj9ZKvfKfIVXo6+vD0NAQpqamMDc3R82aNeHg4ABnZ2d069YNDRo00ErblPnkk09w/PhxQZmjoyOOHTumlfrl53p05V3+LsnOzsbnn3+O3NxcAMCMGTMUBk4q+p03b948zJw58520syzasGED1q9fD0B7834JCQn466+/cOPGDdy7dw9JSUlIS0tDlSpVYGlpifr166NDhw7o2bMnmjVrpnK9TZo0gaenJwIDA5Gamoovv/wS27ZtK3F7SX0MniQiokojNzcXubm5SE9PR0xMDEJDQ7Fjxw5YW1tj+vTp8PLygoGBQWk3U6m0tDRMnToVYWFhSs9Tp2NGREREREQVV15eHg4ePCgqT0tLw9GjRzFy5Eit3GfZsmXYvXu30nOaN28uKsvNzcXvv/+O0NBQ0QQ+EREREWkf+4dERLp19+5dWeAkAHTt2rXU2pKXlweJRAKJRIKUlBTExsYiLCwMhw4dAgC0adMG06ZNg4eHh07un5ycjNOnT4vKo6KiEBISAldXV53ct7zz9fVFVFQUgPyFBl5eXqXcovIhKioKW7Zs0Vp9iYmJ8PX1xeHDhyGRSESv5+TkIC0tDdHR0bh48SLWrFmDbt264bPPPlN5rn7evHk4evQoMjIycPHiRezevRvjxo3T2nsg1eiXdgOIiIhKW2JiIpYvX46JEyciNTW1tJuj1E8//VRs4CTA4EkiIiIiIsp34cIFvHz5UuFre/bs0co9Tp06VezEOCAep9y4cQOenp5YuXIl0tPTtdIWIiIiIlKO/UMiIt26ePGi7P8GBgZwc3MrxdYoFxYWhhkzZmD69OlITEzUev1BQUEKg84AwN/fX+v3qwjCw8Px+++/y44/+eSTcpVBsbSkpaVh3rx5yMrK0kp9ISEhGDx4MPbu3VvkZ1iRCxcuYNSoUdi3b59K59va2mLixImy4x9++AFxcXFqt5dKhjtPEhER/c/Vq1cxbdo07Ny5E0ZGRqXdHJHExETRwytDQ0N4eXmhR48esLS0RGZmJmJjY+Hk5FRKrSQiIiIiorJE/mGtoaGhLO3TnTt3EBERAWdn5xLdY8OGDaKyXr16Yfjw4ahduzZyc3MRHx+Phg0byl7fvn07Vq1aBalUWqJ7ExEREZF62D8kItKtwsGTLi4usLCwKMXWqObcuXMYMWIEfvvtN9SrV09r9Rb+m2NgYIC3b9/Kjk+ePImEhATY2Nho7X7lnVQqxbfffiv7W9isWTMMGjSolFtV9mVlZWHmzJl4+PChVuq7efMmpk+fjszMTNFr1apVQ+PGjVG9enW8efMGT548watXrwTnZGdn48svv4RUKsWIESOKvd+UKVPg7++PpKQkZGRkYNWqVfD19dXKeyHVMHiSiIgqhOXLl8PT07PI13NycpCdnY03b97gxYsXuH//Pvbu3Yvbt28LzgsLC8PPP/+MTz75RNdNVtuNGzeQk5MjKPvss8/g7e0tKGvbtu27bFalsnPnTrXOb9q0qeC4Y8eOatdBRERERKSp5ORknDlzRnZsaWkJV1dXnDhxQlbm7+9fosnxtLQ03Lt3T1Dm7u4OPz8/pddFRkZyYlyOp6en0nGtvC+++AIHDhwQlJ0+fRp169bVdtOIiIiogmD/sHxh/5Co/ElPTxdkkNN1yu5Vq1ZhyJAhRb6em5uLnJwcpKamIiEhAY8fP0ZoaCj++usvpKSkCM6NjY3FhAkT8Oeff8LOzq7Ebbt//77g74GTkxNyc3Nx9+5dAPlzt/v27cO0adNKfK/CDAwMZPcob/bt24fw8HDZ8dy5c6Gnp1eKLSr73rx5gxkzZiA0NFQr9aWlpWHWrFmiwEknJyd88skn6NKlCwwMDASv3bx5E2vXrkVwcLCg/JtvvkGTJk3g4uKi9J7m5uaYPHmyLGDyyJEjGDt2LNq3b6+Fd0SqYNpuIiKqFIyMjGBubo5atWqhTZs2GDt2LPbt2wcfHx/Rub/++isSEhJKoZXKPX/+XFQ2dOjQUmgJkepWr16NBw8eyP7t2LGjtJsks2fPHkHbvv/++9JuEhEREZFWHT58WLAAq127dujTp4/gnKNHjyItLU3je8TGxorK1JngJSqJzp07C/r0Dx48QK1atUq7WQCAkSNHCtpVXifviIioYmH/kCo69g+ptIWEhAh+z+o6eLI4hoaGMDU1hZ2dHVq0aIGBAwfiP//5D06fPg0vLy/R+S9fvsS8efNEm7loYu/evYLj9u3bo1evXoKygIAABs7/T1ZWFtauXSs7bt68uejrRUIPHjzA8OHDtRY4CQB+fn54/fq1oGzQoEHw9/dH9+7dRYGTANC6dWv8+uuvmDx5sqA8JycHy5cvV+m+EyZMgKWlpez4v//9rwatJ00xeJKIiCq1SZMmYeTIkYKyrKwsHD58uJRaVLT09HTBsaWlJaysrEqpNUREREREVNbt379fcNy+fXu4u7vDxMREVpaZmYlDhw5pfA/5cQoANGjQQOP6iIiIiEh32D8kItKtwim7q1evXqKdfHXJwsICS5YswfLly0U7G4aFhZV4IwyJRIKgoCBBWbt27dCvXz9BWUxMDC5cuFCie1UU/v7+gvTP8pkHSWjfvn0YNWoUnj59qrU6MzMz4e/vLyhzdnbG8uXLYWxsrPRaPT09fP7556KA1xs3bgh2oy2KmZkZxowZIzu+c+cOzp07p3rjqUQYPElERJXe1KlTRQODkJCQUmpN0d6+fSs4NjMzK6WWEBERERFRWXfnzh1RusQuXbrA3NwcPXr0EJQHBARofB/5cQoAmJqaalwfEREREekG+4dERLpXOHjSzc1N4S51ZYmnpyfmz58vKvfz80NiYqLG9Z46dQrJycmyYyMjI3Ts2BGOjo5o2rSp4Fz5YLXKKDs7G1u3bpUdm5ubo2/fvqXYorIrKioKH3/8Mb788ktkZWVpte5z584hIyNDUDZ//nwYGRmpXMeiRYtEZWfPnlXp2uHDhwtiFvz8/FS+L5UMgyeJiKjSq1+/Puzs7ARlMTExpdSaoslvWy8f8ElERERERFRg3759guMGDRrIJigGDRokeC0yMhLXrl3T6D6K0mtxrEJERERU9rB/SESkW9HR0Xj27JnsuLRTdqtq6tSp6Nixo6AsIyMDu3fv1rhO+b85bm5uqFatGgDx35xz587h5cuXGt+rIti/f79g18kBAwagSpUqpdiisuf169dYunQpBg0apDAYceLEiWjdunWJ7nHlyhXBsaWlJdzc3NSqo0GDBmjSpImg7O7duypd6+DggPbt28uOb926heDgYLXuT5oxLO0GEBERlQV2dnaCjnlubq7GdeXl5eH27duIjo7G69evkZ2dDWtra9ja2qJNmzaywUFpS0xMxM2bN/Hq1SskJyejSpUqsLGxQb169dCyZUutr4bLyMjAhQsX8OzZM5ibm8PZ2VntdAX379/HkydPkJCQgPT0dFhZWcHGxgatW7eGjY2NVttbHiUmJuLy5ct4/vw5rKys0KZNGzRq1Ejl65OSknD79m0kJSUhOTkZb968gaGhIapXr45atWqhefPmqFmzpg7fQfHi4uIQHh6O2NhYZGZmwtLSEjVr1kTbtm1LPY19dHQ0IiIi8PLlS0gkElhbW8POzg7t27dH1apVtXKPhIQEhIeHIyYmRvYzUKtWLa3eg4iIiMo/iUSCo0ePCsref/992f979uwJS0tLwS4Q/v7+gge05U1OTg5u3bqF58+fIyEhAbm5uahRowbs7OzQpk0bre92JJVKceXKFTx48AAA0KRJE7Rv377YNE7lmVQqxeXLlxEZGQk9PT00bdoU7dq1U/k95+Tk4O7du3jx4gWSk5ORkpICqVQKMzMz1KhRA46OjmjUqFGp7sySnZ2NW7duISoqCikpKahSpQpq1KiBJk2aiCY/3rU3b97g5s2bePbsGVJTU1G1alXUqFEDLVu2hIODg1buIZFIcOfOHTx8+BDJyckwNjaGnZ0dWrRogfr162vlHkREVDrYP2T/UBfYP2T/kIQK7zoJ5O/uWx4UpBsePny4oDwgIACzZs1SOwA+Li4Oly9fFpQV/pszePBg/Pjjj8jLywOQv2NxYGAg5syZo+E7KP/kd98cNmxYKbWk7PLz81O4S6m5uTm++uorDB06FGPHji3RPaKiogTHzs7OGi0AqVu3LiIjI2XHr1+/VvlaT09PXL16VXa8Z88etQM4SX0MniQiIoK401K7dm2163jy5Ak2b96MM2fOCB4yFWZoaIi2bdviww8/RJ8+fZTWt3//fvj4+BT5emxsrGhre3t7e5w5c6bIayQSCQ4ePIjdu3fj/v37ClcBA0D16tXRvXt3TJ8+HY0bN1bazsIKt8fCwkK2OvnUqVP45ptvBKumgPzVNzNmzMCQIUOK7HzGxcVhy5Yt+PvvvxEXF6fwHD09PTg7O2P06NEYNmxYmU+DoKlnz54JBphOTk7Yv38/AGD37t3w9fXFmzdvBNe0bNkSc+fOFaXeKfD06VMEBATg4sWLePjwYZGfiQJNmjTB8OHDMWbMGJVWvX322WcICgqSHbu5uWHHjh0qnbtp0ya4u7sDyF95+Msvv+DGjRsKrzUwMEC7du0wc+ZMlQcRY8eOFdQ3YsQIfP/99yqdGxQUhCZNmkAqleLQoUP49ddfcf/+fYXXGhsbo0uXLpg9ezZatmypUtvknT9/Htu2bUNoaKjC71GVKlXQq1cvfPrpp6hXrx4A4IMPPsCTJ09k5/zxxx/l+oE3ERERqU4+PRaQ3zcoYGxsjP79+wt2kThx4gS+/PJLWFtbK607JiYGvXr1UnqOotdPnz6NDz/8ELGxsQqvCQ0NFY1vTp8+jbp16yq91+3bt7F582ZcvHgR6enpCs8xMTGBq6srpkyZAldXV6X1Febl5YXQ0FDZ8cGDB9G8eXNERUVh4cKFuHPnjuB8S0tLjB8/HlOmTIGZmZnK9ylLiur3Pnz4EAsXLhSl+rSyssKECRPw0UcfKQxAyMjIwKFDh/D3338jLCwMmZmZSu9vaWmJvn37wtvbG++9916x7b18+TK8vb0FZefPn0etWrWKPbdv37746aefAADPnz+Hn58fjhw5UmQb69Wrh1GjRmHixIkwMTEptm2BgYFYsmSJ7NjAwKDI3Sbkz508eTI+//xzAMDDhw/x888/49SpU8jJyVF4fePGjTFhwgSMHDlSo/HwixcvsHHjRhw7dgxpaWkKz2nZsiWmTJmCfv36AQA2b94MX19f2evKxlNERFT62D8UYv9Qdewfsn9Y2v3Dvn374unTp7LjPn36YMOGDSpdu337dqxcuVJQtm7dOsHvP2X69+8vCKb6+uuvMX78+CLPLxw86ejoiDp16qh0n7KgZcuW6NSpk2Dnvfj4eNy6dUvt3fz2798vC4wE8lN29+7dW3ZsZ2eHzp07C75egYGBmDFjBgwNK18IU3h4uGB+qWAzHiqeu7s7li1bJsowqak+ffqgYcOGiI+PR3x8vEp/dxSRSCQat6F3795YsmQJ3r59CwA4c+YMEhISuImQjjFtNxERVXqvXr0SbQffoUMHla+XSCT47rvvMHDgQOzfv7/IwEkgf0fL0NBQzJ49G2PHjkV0dLTG7VbXlStX8P777+Orr77CvXv3lAbJpaSkICgoCIMHD8bixYuLfYChTHBwMObOnSsKnATyA/fWr1+vMHBSKpVi48aN6Nu3L3bu3Flk4GTBueHh4Vi8eDGGDh0qekhV0QUGBmLZsmWiwEkg/2GhomDF7OxsfPvtt+jfvz+2b9+OyMjIYgMngfyUPcuXL0f//v0RERGhjeYrlZmZiQULFmD69OlFBk4C+SsTQ0NDMWnSJCxYsKBEu8eqKjExEd7e3vj888+LDJwE8n9HnD17FiNGjBA9qClOamoqZs6ciWnTpiEkJKTI71FWVhaOHj2KwYMHIyAgQK17EBERUcUjnx6rSZMmcHJyEpR5enoKjiUSiWxhTnmQlpaGBQsWYMSIEThx4kSRE+NAft/3n3/+wYcffoiPP/4YiYmJGt/31atXmDhxosIxR3JyMn7++ecS1V8WxcXFYdKkSaKJcSB/9/oNGzYgJSVF9Nrff/+N999/H9988w0uX76s0rgyOTkZAQEBGDhwIH755RettL84hw8fRv/+/REYGKi0jdHR0fD19UW/fv3w6NGjd9K2rVu3YujQoTh+/HiRE+NA/gT60qVL4enpifj4eLXusXv3bnzwwQcICAgocmIcyB9bfvLJJ5g9e7bCsScREZVt7B8KsX9YMuwf5mP/8N30Dz08PATHV65cUfn5/6VLl0Rl8ml5ixIdHS3ahU6+LYXl5uYK6i4vu04WVjjAscA///yjdj0HDhwQHPfo0UOUOUz+b05cXJzCVMyVwd69ewXHZTXde2BgIJo2baqzfwUb8qiiSZMm2Lx5MzZt2qS1wEkgP/X3f/7zH2zatAn79+/H4sWLNapH/m+COln9qlWrJsjcmJOTg4MHD2rUDlIdgyeJiKjS27Jli2z1BpC/AmrIkCEqXZuamoqPPvoIO3fuVDtY68aNGxg9ejTCw8PVuk4TW7duhbe3N168eKHWdXl5edi7dy/Gjx+vNHixKG/evMGiRYsEX195ilb4SSQSfPrpp1i7dq3agZuRkZGYMGFCpRlkRUdHF7t6s2DlZ4H09HRMnDgRu3btUvq9USY2Nhbe3t6iwGNtkkgkmD59Oo4cOaLWdUeOHJGtwtWVlJQUTJw4EcHBwSpfI5VKsX37dqxZs0al8xMTEzFmzBicPn1a5XtkZGTg66+/xu+//67yNURERFSxvHjxQpQeS1G6J2dnZ1GauT///FOlBTWl7cWLFxg3bhyOHDmidnvPnj2LMWPGCHYuUcdXX32lcGFYARcXl2J3QypvFi9erDTFVOvWrUU7+Wzfvh1z5sxR+rVSJjc3Fz/++CN27typ0fWqCggIwMKFC9Uad8bGxmLSpElqj6/V9eOPP+KHH35Q61nD/fv3MXHiRJUnr1euXIlly5YhKytL5XucPHkS06dPL9EiSyIierfYP1SO/UP1sX8oxP6hbvuH8jvXpqWl4datW8VeJ5FIcP36dVG5qsGT8nNMTk5OSrPW3bx5U/B1LqsBcMooarMqX+vCQkND8ezZM0GZor85vXv3RrVq1QRlilIyV3RSqVQ0B1QeA2/fFRcXF/j6+uLQoUNFZtwrbeHh4aK5U3WyPAJA586dBccnT54scbtIucq35y0REVEh27dvx2+//SYo8/Lygr29fbHX5uTkYMqUKaKBg76+Pjw8PNCzZ080aNAApqamSEhIwPXr13HkyBFBGpKEhARMnjwZBw4ckKXaLWBvb4++ffvKjh89eiRY5WZqaoru3bsLrlGUQmXfvn344YcfROW2trYYOHAgOnbsCFtbW2RmZuLp06f4+++/ceHCBcG5d+7cgbe3NwIDA1G1atVivzYFfv7552JXNfbv319UtmDBAvz999+icjc3N/Tp0weNGjWCubk5EhMTERERgaNHjwpW8WRkZGDOnDnYtWuX2ukEypsVK1YofShhaGgoShH/9ddfIywsTFBmZGSEvn37onPnznBwcIC5uTkkEglev34t+xr/+++/gmvS0tKwYsUKrF27VntvqJC1a9fi8ePHsuMGDRpg8ODBaN26NSwtLWVtCwgIEH3Ojhw5Ak9PT50NMr/++mtB25ycnDBgwAA4OTnB3Nwc8fHxuHbtGvbu3StaZb1lyxYMHjwYjo6ORdafm5uLGTNmiFa26uvro0+fPnj//fdRr1495OTk4MmTJzh27JjgIfj3338PIyMjLb1bIiIiKk8OHDggSI9laGiIwYMHKzzX09MTK1askB0/e/YMly9fVtqHMjMzE4xTEhMTcfXqVcE53bt3F6XoMzMzQ/fu3WW77ty+fVswNrKyskLHjh1F18hLS0uDl5eXaBd/IyMj9OvXD127dkXdunVhZGSEV69e4cqVKzh69CgSEhIE79Pb2xsHDx5E9erVi3yv8s6dO1fsIi1F45vy7PTp06LxoTz593zp0iWsWrVKdJ6zszP69u2Lpk2bwtLSEoaGhkhJScGjR49w/vx5XLp0SfDZBfIniPv376+T9FT3798XTFKZmppi8ODBcHNzg729PSQSCZ4+fYqDBw+KPuOvXr3C6tWrBWkJtencuXOC8YalpSWGDBmCjh07ws7ODunp6YiKikJgYKBox6fHjx9jy5Yt+PTTT5Xe448//sD27dtF5U2aNMGwYcPQokULVK1aFXFxcbhw4QKCgoJkO3hdu3btnSwEJSIi7WD/kP1DbWL/kP3Dd90/bNOmDaysrJCUlCQru3TpEtq1a6f0uuvXryucO3ny5Ani4uKK3a3u3LlzgmNFuzIWVvjnwtjYWPT7qzyoX78+jI2NBSmHlWXdUkR+x2IbGxuFQW4mJiYYMGAA9uzZIyu7dOkSoqOjRfOlFVlERIQoGJ3Bk4rNnTsXlpaWpd2MYm3dulVUpmzXWkW6dOkCPz8/2fGtW7eQmJioMA6AtIPBk0REVClIpVLk5OTgzZs3ePnyJW7evIk9e/YgMjJScJ6rq2uxA8gCvr6+osDJRo0awdfXF82aNROd36NHD8yePRsbN24UdHjS0tLwySefYM+ePTA2Nha0xdXVVXa8fv16bNiwQXZsbW2Nn376SWkbIyIi8PXXX4vKvby88Omnn4oCITt27IhRo0bh2rVrWLRokeBhVVRUFJYsWaLyrnlZWVn4448/ZMc2Njbo2rUrbGxsEBsbi+DgYFhaWorSw+zcuVMUOGlnZ4fVq1crHGx269YNH3/8MXbv3o0VK1bIUlXk5ORg/vz5OHDggFoPvMqTZ8+eCdLB1K1bF506dYKFhQWePn2K4OBgtG/fXpAOoSCItzAHBwds2bIFDRo0UHifXr16Ye7cudiyZQt+/PFHwWunTp1CamqqaIWgNhQ8DDI2NsbChQsxYcIE6OsLN07v0aMHJk+ejIULF+LUqVOC13799VedDTIL2mZhYYFly5ZhwIABonM8PDwwZcoUzJw5UxCs+vbtW/z+++9YtmxZkfVv3boVN2/eFJTZ29tj7dq1cHFxEZS3b98eI0eOxPnz57Fo0SIkJycDgNK0LURERFQxSaVSUXqsbt26oUaNGgrPHzx4MFavXi3YucTf319pH0p+HBISEoIPP/xQcM7SpUsV7q7zzTffyP7/xRdfCNrauHHjYsc3QP4uN/IT4+3atcMPP/ygcBFcr169MG/ePKxcuRJ//vmnrBJ9+fIAACAASURBVPz58+f44osvsHHjxmLvWaDwA3BjY2P07NkT9erVw6tXr3Djxg3ExsYq3Fm/PJN/z+7u7qhbty5evXqF69ev48WLF4Jgibdv3+K7774T7PhkYGCAZcuWYeTIkQrv4ebmBi8vL9y6dQtz584V7NCQkZGBv/76C+PHj9f6eyu8G4q7uzu+//570SR8+/btMWLECOzbtw9Lly4V9LGPHj2KL774Ara2tlpvW+GJ8REjRsDHxwfm5uaCczp16oTx48fDz88P69atE7y2a9cuzJ49u8gFVf/++68ogEFfXx8LFiyAt7c3DAwMZOXOzs7o3bs3Zs6cic8//1y2+37hCVUiIiq72D9k/1Db2D9k//Bd9w8NDAzQo0cPQdraixcvYu7cuUqvU5Syu0BISEiRQeRAfvau0NBQQVlxwZMXL16U/b9du3aigPHyQF9fHw4ODoLNSl6/fo3s7GyYmJgUe/2bN29w4sQJQdmgQYOK/Nx5enoKgielUin8/f2xcOFCDd9B+SMfjF63bt0yGyBXt25dwe93bZNP7S6vPAROXrp0SfQzULduXbRp00atepycnGBgYCDLHpiXl4fLly9j4MCBWmsrCTF4koiIKgQfHx/4+PiUqI5Bgwbh22+/FQQwFuXBgwfYsWOHoKx58+bYtWuXaMBamLGxMebNmwdbW1tB4NTt27dx4MABjB49WuP2K7JmzRpRCof58+dj+vTpSq9r3749du/ejQkTJggePB07dgyjRo2Cm5tbsfcu/NBgxIgRWLx4sWBlcEZGhmhXvcTERKxevVpQVrt2bQQEBChdBaivr48JEybA3t4es2bNknUmY2NjsW3bNsyfP7/Y9pZHhVNAzJkzB9OnTxcMQhMTE0Ur1uR3WjUyMoKfn1+RgZMF9PX1MX36dDx9+lSwcjAnJwehoaHFPjgoiZUrVypdoW1mZoY1a9ZgwIABgt0xQ0JCkJGRoXBFujYYGRnhl19+UbrC1draGn5+fujbty9SU1Nl5fKrVgtLSUnBli1bBGV2dnb4448/lKYF6dGjB37//XeMHz8eaWlpqr8RIiIiqjBCQ0NFu4V7enoWeb6NjQ26d++OM2fOyMrOnDmD+Ph41KxZU2ft1NTZs2dFD6G7du2KTZs2Kd1129zcHN9++y2qVasmmOw9c+YMLl68qHI6tYL+t7OzM3766SfUqVNH9lpeXh5u3LihtL9WHhW859atW2PdunWC9IsF77nwWO3ChQuCiV0AmDp1apET44W1atUKq1evxoQJEwTlly9f1snkeAF3d3f4+fmJFmoVNnz4cPz777/YtGmTrEwqleLcuXMqvTdNjRs3DkuXLlV6zsyZM/H48WMEBQXJyt68eYOrV6+KUn0VWL9+vSgV43fffYfhw4cXeR87Ozts3rwZM2fOLHa3KSIiKjvYP1SM/UPNsX+Yj/3Dd9s/9PDwEARP3r59GykpKUo3ziicqUnelStXlAZPXrp0STDH5eDggCZNmhR5flJSEu7evSs7Lo8puwvUqFFDEDwJAHFxcXBwcCj22uPHjyMjI0NQpihldwEXFxc0btwYDx8+lJXt378f8+bNU2mutih5eXnFBteqo169ejoL6JTfsVV+w5myxM3NTaX54crq9evXWLx4sah89uzZSv+eKGJqaoqGDRsKfjbCw8MZPKlD6n2HiIiIKiA9PT34+Phg9erVKq8E27Fjh2ClpImJCTZs2KA0cLKwcePGiVIp//rrr4I6S+r69euilXU9e/YsNnCyQK1ateDr6ytYUQgAmzdvVqsdXbt2xXfffScKYDMzM4Ozs7OgbPfu3YIBup6eHtasWVNs+oQC7u7u8PLyEpT5+/uLBmsVzbhx4xSuGrW2thYM6LOzs0VBe4MGDULjxo1VvpeihyVxcXHqNVgNHh4eKqW2MTY2xqRJkwRlEolEFKCrTWPGjCk2NQiQ/30YMWKEoOzly5eylETyAgMDBYGxQH4ablUetDZt2lTh4IyIiIgqh3379gmOrays0LNnT6XXyPfvcnNzERgYqO2maYV8CrkaNWpg7dq1SifGC1uwYAFatmyptM7i1KhRA9u2bRNMjAP5i43at2+vVl3lRc2aNbF161bBxDig+D3/9ddfgmNzc3NMnTpV5Xt16NBBNClXeKchbTMyMsJ3332n0kTGlClTYGgo3ItAPiWiNllbW6u8SFTROL+otr169QpHjx4VlA0cOFDpxHgBY2NjrFq1SidpMomISDfYP1SO/UPNsH+Yj/3Dd9c/7Nq1qyCY7u3bt7IdLxVJTEwUBDN26NBB8PqVK1eU3k/dlN2XL18WpJgvz8GTiuZJVZ1jk/+b4+TkpDBTX2HywZWJiYmi7HTqkkqlOHHihNb+KfuslVRERITg2NHRUWf3It3JysrC7Nmz8eLFC0F5hw4dMHToUI3qbNSokeBYPtCWtIvBk0REVOlJpVIsX74cXl5eKnU80tLSRGmPR40apTDtiDJTpkwRHD958gTXr19Xqw5ljh8/LipbtGiRWnW0atUK/fr1E5RdvnwZMTExKtcxd+5c6OnpqXSuv7+/4Njd3V3trcwnT54seLCRkpKCkydPqlVHeWJkZIQZM2aodO6bN28wYcIE9O3bFy1atEC1atWUrq5URL6zDuSnsNCVMWPGqHxu69atRWVFBShqgzptU/Q5Lqpthw4dEl3brVs3le81bNgwvPfeeyqfT0RERBXDmzdvRBMMAwcOLHa3hh49eohSQgUGBsp2cy8roqKiRGnTpk6dCgsLC5Xr0NfXx+TJkwVlly5dEj3cVmbixIlKdzepiLy9vVX+Ordq1Qqenp7o0KEDatWqhT59+qi8yLCA/GSRLhfD9erVq8i0pfIsLCzQsGFDQVlCQoIumgUgv1+v6m4rjRs3Fn2di2rbkSNHRD/fs2fPVrld1tbWmDhxosrnExFR6WH/sHjsH2qG/cN87B/mexf9w6pVq6JTp06CssJpsuUFBwcLNisZOnSoYHOC2NhYQda1wqRSKf755x9BWa9evZS2r3BbbG1t0bRpU6Xnl2WKMnnJ70qqyOPHjxEWFiYoU7brZIEhQ4aIgpDl5worqoSEBNHPZf369UupNaQpiUSCWbNmiT7/lpaW+OGHH1SeI5cn/1mIjIzUuI1UPAZPEhER/U9oaChGjx6NX375Rel5N27cgEQiEZQNGDBA7fu1atVK9BDq2rVratdTFPmVc23bttVoxZKiVOJXr15V6VorKyu0atVKpXOjoqLw6tUrQZkmX1c7Ozs0b95cUKbNr2tZ06JFC5VT5tjY2GDRokX46aefcODAAVy9elXtLfarVq0qKiucvkKb9PT00LZtW5XPV7Qzo64epFlaWioMJC2K/CpsQHHb4uPjRQMgTValqbIqmIiIiCqWY8eOITMzU1CmSp/AyMhItKDmxYsXOH/+vFbbV1IhISGiMvmFXqro3r27aHd9dcYLxe3UVBH16NFD5XPHjh2L5cuXY9euXTh//jxWrFih9v3kxxy6Gm8AUHs3KPkxh/zPnDap2zb5MUdRbZOfZG7durXai688PT01ngAiIqJ3h/1D1bB/qD72D/8f+4f53kX/0MPDQ3Asn3lN2Wtubm6iDQ6K2n0yIiJCMFdlbW1d7DxF4a9hly5dynVfWVGgvImJSbHXye86aWRkpFKK4Ro1aog2j7h69aoodXhFFBsbKyqzt7cvhZaQprKzszF79mzR71EjIyOsX79epYxyRZHftCk9PR0pKSka10fKMXiSiIgqhOXLl+PBgwdK/0VERODq1av466+/sHHjRnz00UewsrIS1JOXl4cff/wRfn5+Rd7rxo0bgmM9PT20aNFC7Tbr6emJtquXr1tTiYmJePjwoaDM1dVVo7pat24tWs2o6sMjRTsBFkXRrptOTk4qX1+Y/PdDW1/XskjdnTlLIi4uDgcPHhSVazPdfGF16tRRa6W4ohWRuloRXzgduioUBZ0qatvNmzdFZer8HBVQJ+iUiIiIKgb5iYpmzZqJFhUVxdPTU1S2Z88erbRLW+THC7a2trCzs1O7HgsLC9EDaFXHCxYWFmotoKkILC0tRbvp6EpWVhYuXryIqKgoQXnh9Hfapu6OMPJjDl3uwKWrtsnvhqHJeMPW1laUPpOIiMoe9g9Vw/6hetg/FGL/MN+76B96eHgIghKfP3+Ox48fKzz38uXLsv87ODjA3t5eNJeiKAAbEKfsdnd3V5rG/cGDB4iPj5cdd+nSpchzy4Ps7GxRWXG7xb59+1aUUcvDw0M0B1sURYH9Jdl90sDAoNg5Y3X+7d+/X+O2KKMoy5/8pjtUdqWlpWHy5MmixSUGBgbw9fVFx44dS1S/os+CooBb0g7D4k8hIiKqGIyNjWFsbIxq1arhvffeg4eHB2bOnIm1a9di586dgnN/+uknuLq6ol27dqJ65IMSDQ0NsXDhQo3a9PTpU8GxOumwlYmLixOVaRqIaGxsjCZNmuD27duysufPn6t0bePGjVW+j/zXFQB++OEH0Xb9qpBfkaatr2tZpIuHc0lJSYiOjkZMTAyioqLw8OFD3L59u8hOua6CJy0tLdU6X9FnRVcP0nTVtidPngiO9fX11fo5KqBJQDcRERGVX1FRUaJFGKqkxyrQtGlTODk54c6dO7KyixcvIiYmRjSRXFrk+/jZ2dmYO3euRnWlpqYKjlUdLzg6OiqdNKuIHB0dtb5rikQikY03njx5gkePHuHevXt48OCBTncRUkTdFJvy/XpdTtzrom3x8fFIT08XlKm7MKxAs2bN8OzZM42uJSIi3WP/UD3sH6qO/UMh9g//n677h3Z2dmjRooXo95J8MG9UVBRevHghOy7IviW/4YCqwZO9e/dW2q7CO87p6emV++DJ5ORkUVm1atWUXnP+/HlRZjl1/ub07NkT1tbWSExMlJUdOnQICxYsgKmpqcr1lDdJSUmiMgZPlg9xcXGYNm0a7t+/Lyg3NDTEqlWr0Ldv3xLfQ9FnofDPCGkXgyeJiKhSMzc3x5IlS5CbmytYOSuVSrFq1SoEBASIrpHfEjsnJwcnTpzQSnu0td22osFNjRo1NK7PxsZGcKxqO9UZzCuq8/Tp0ypfr0xWVhays7NVSi1Q3qgbxCcvLi4OJ0+eREREBB49eoRnz54hLS1NS60rGUW7NapLV4Gdxa20VIWithVeoVpwH/m0QaowNTWFiYmJwlWiREREVPHs3btXVLZ8+XIsX75c4zrz8vLw559/Yv78+SVpmtbIjxdSU1Pf+ThM3cnKiqCk71kikeCff/5BaGgoIiMj8eTJE8TFxemsn66ukvbrdfU+9PT0SjweUmW8AWj+PVZ1FxkiIiod7B9qt+6isH+oPvYPNcP+YT4PDw9B8OSlS5fw4YcfCs4pvOsk8P/Bky1atIClpaVs/iw+Ph5RUVFwdHSUnRsfH4+7d+/Kjs3MzIoNhiycIrx58+ai+bTyRv4zYWBgUGyGMPmdjgHg448/LlE7UlNTcfToUYwYMaJE9ZRlmZmZorKKHCxaUdy9excff/yxaCMjY2Nj/Pjjj+jTp49W7qPos5CVlaWVukmMwZNEREQAfHx8cObMGUFH5+bNm3j48KFo1zdtBTgqoq26Fa1WUif9cXHXKgrOVKSkwZPalJKSgpo1a+r0HqWhuBV/RYmKioKvry/Onj2r1mpYY2NjSCQSje6pLk2CBt8VXa0oz8jIEBwrSkWuKnNzcwZPEhERVQK5ubkICgrSSd379u3DnDlzYGRkpJP61VEWxmGa9r3LM00nTjMzM7Ft2zbs3LlT5fFjAY458scb2t7RCRCPNwDNF61pY0EZERHpBvuH765u9g9Vx/5hybB/mK9Xr15Yv3697Dg0NBQSiQTGxsayssLBjHp6enB1dQWQ/zV0dXUVBFlfuXJFEDx5/vx5QZBp165dlW7KkZWVhWvXrgnOL88yMjJEmeeK22E3MTFRlLZYW/z9/St08KSiQLiy8Pe1KMHBwYKNiLRt3rx5gp/HsujUqVNYuHCh6Henubk5/Pz8ZL9vtEHRZ0HR72zSDgZPEhERATAxMcGgQYOwdetWQXloaKgoeFKXaSK0VbeiFYQlWfGYm5srOFY1lbY6Dxp0nX7jXT1cedc0eZgTGBiIb775RvR9VURPTw8ODg5o27YtOnfujG7duqFTp06aNJVUIP+zVZJVZBX1M09ERERCitJjacvr169x8uRJ9O/fXyf1q6MsjMNUHQdVJJqMN/79919MnToVT58+Vel8S0tLODs7w9XVFR4eHti4caPOAj4qO0WfYU3HHBxvEBGVXewfvru62T9UDfuHZVd56x82b94c9vb2iI2NBZAfSHTjxg3ZnEVOTg5CQ0Nl5zdr1kyQ+rZTp06C4MmQkBCMHz9ednz27FnB/Xr16qW0PaGhoYINDMp78OTdu3dFc4kuLi5Krzl06JDOfh9HRETgzp07cHJy0kn9ZVFZ2YVXkZiYGK3t8KyI/C6yZc22bduwevVq0YY0dnZ22Lx5M5o1a6bzNuhqYxdi8CQREZGMs7OzqOzff/8VlcnvwtilSxds375dZ+3ShKLVn2/evNG4Pvlrq1SponFdRZH/ujZo0ECnnfDK6uDBg1iyZInC16ytrdGyZUs0atQIDRs2RMOGDdGkSRPB90bXQa6VnfzPbnp6usZ1cQUaERFR5SCfHsvc3LzYtGJFkUgkoskif3//MjE5bmFhgcTERNnxqFGj8O2335Zii0iRhIQEjBs3TmHAhpGREZo3b46mTZuiUaNGeO+99+Do6Ii6desKzivLk0XlnaJnBZqOOUryjIGIiHSL/UMqS9g/LNvKY//Q3d0du3btkh1funRJFjx569YtQfsLUnYX6Ny5s+A4JCQEUqkUenp6kEgkCA4Olr1maGiInj17Km3LxYsXZf83MzNDmzZt1H4/ZYl8ynOg+ODJ/fv3C45tbW3Rtm1bje6fnJyMkJAQQZm/v3+F/d2uaJfXrKws7vJfxrx9+xbLli1DQECA6LWmTZti8+bNqFWrltbvqyite0my1ZFyDJ4kIiL6H0VprRUNEuUHkwUr3MoSRelCXr9+rXF98fHxguMaNWpoXFdR5L+uz58/lw1aSTvi4uLwn//8R1Tu4eGBmTNnomXLlsV+vZkGWrfkf7ZycnIQFxcHOzs7tep5+fIl3r59q82mERERURmUkJCAf/75R1A2YMAAhX0+VQ0YMACPHj2SHYeEhODx48do2LChxnVqQ/Xq1QWT4/KpxKhsWLp0qWhi3N7eHvPmzcP7778PU1PTYuvgmEN3FI3lY2JiNKrrxYsXJW0OERHpAPuHVNawf1i2lcf+oYeHhyh4csGCBQDEwX/yWbQaNGgg2LkyOTkZDx48QLNmzRASEiLYkKBdu3awtLRU2pbCwZOurq6C9OHl0bFjx0Rl8gGohYWHhyMyMlJQNmnSJEyZMkWj+2dlZaFLly6CQNwjR47g888/r5ABhYoC4Rg8WbZIJBJ8+umnOHXqlOi17t27Y82aNTr7finaBVhRwC1pB/f0JCIi+p+EhARRmaKBu729veA4JiamzO24UK9ePVEQ3O3btzWqKysrC48fPxaUya/81Ab5OiUSCaKiorR+n8osICBAFBA8btw4bNy4Ec7OzioFqir6OSHtUbQD7v3799Wu5+7du9poDhEREZVxBw8eFO0MPmDAgBLVOWTIEFGZotX175r8OOzevXvcgaaMiY6OFk0o2NvbIzAwEEOGDFFpYhzgmEOXqlevjvr16wvK7t27p1Fdml5HRES6xf4h+4dlCfuHZV957B927NhREKx09+5d2Wek8K6FRkZG6NChg+h6+YDKgt0m5XfZ7d27t9J2vHz5UjCHpekOv2VFcHAwnjx5IihzdnaGg4NDkdfs3btXcKynp1einYmrVKmCDz74QFCWkZGBQ4cOaVxnWaZo59fk5ORSaIlqRo4ciQcPHujsX/v27Uv7LQpIJBLMmjVLYeDkuHHjsGnTJp0Guir6LCj6zJB2MHiSiIjofxQN7BQNCtq1ayc4zs3NFWzlr46goCAcPnwY169fR1xcHPLy8jSqR56VlRXee+89QZn8VvequnbtGnJzcwVlzZs317htRVG0jX/hVXvqOHv2LA4cOIDQ0FDExsZyB77/OXnypODYzMxMtiJTVfKrCAFo7XNL+Q8j5Fennj9/Xu165HcYICIioopJPj1WzZo1FU4OqWPw4MHQ1xc+Mjx48GCp7/YiPw5LSEjQeHLO398fx44dw61bt0q0Qz8JnTp1ShSwMGvWLNjY2Khch1QqFexsBXC8oW3yY+8rV65AIpGoVUd4eHiZntQjIqrM2D9k/7AsYf+wfChv/UMjIyN069ZNdiyVSnHp0iVkZWXh1q1bsvJWrVop3NlPPnV3wfzeuXPnBOW9evVS2o4LFy4Ijrt27apS+8siqVSKdevWicrHjBlT5DXZ2dminSrbtm2LOnXqlKgtQ4cOFZX5+/uXqM6yStEcNHf4Lxvy8vIwf/580Vybnp4ePvvsMyxduhQGBgY6bYOiz4KyYGYqGQZPEhERIT817tGjR0Xlila5KHrYtHv3brXvGRcXBx8fHyxcuBDjxo1D9+7d8fHHH6tdT1Hk2xkWFqbRTo6BgYGiMldXV43bVRQXFxdUqVJFUObv76/2g5Ds7Gz4+Pjgiy++gJeXFzw8PDB48GBtNrXckk8x37hxY7VXRckHYAJgcKoWGRsbw8PDQ1B29OhRQbqQ4qSnpyv8fUZEREQVy61bt0STiP379xdNbKurVq1aop04kpOTFabvKglVdj0vTFvjsIiICCxduhSffvopRo0ahS5dumDZsmVq10NiitL7tW7dWq06rly5gtTUVEGZ/GI+Kpl+/foJjpOTkxWO85QpC7uNERGRGPuH7B+WNewflg/lsX8o/wz94sWLCAsLE+y8W1S6aTc3N8Hvm6tXr+LevXuC+ZMWLVqIdreVV3jzD3t7e9GGJuXJjh07EBYWJiirU6eO0rm1EydOIC0tTVBW0p2Ogfx5WflMdZGRkbh+/XqJ6y5r5Hd9BfJ3NKXSt3LlStHvQUNDQ6xYsQJTp059J22QD560tbVVGBBO2sHgSSIiIgAbN25EXFycoKxBgwZo1qyZ6Nw6deqIBl2XL18WrTIrzvr160UpVN5//3216lBm+PDhorJVq1apVUdYWJioc+jk5ISGDRuWqG2KGBsbY+DAgYKyJ0+e4M8//1Srnu3btyMpKUlQps2va3kmv1o0KytLrevv3buHI0eOiMrlP8dUMmPHjhUcJycn48cff1T5+lWrVokeKBIREVHFs2/fPlGZNiYqAMWpGbW904O6k/jt2rVDgwYNBGUHDx7E/fv31apnzZo1ojKOF7RD0e406uxIlZubq/D7w/GGdnXr1k00Ebxq1SrRxGdRwsLCRLuaERFR2cD+IfuHZQ37h+VDeewf9ujRA4aGhrLjS5cu4cqVK4Jz5IO+C9jY2KBJkyay44yMDNGui8XtOpmXlyfISFeed508fPgwfvjhB1H5ggULRFmyCpP/m2NgYCAKxNWEnp7eO/mbUxZUrVoVNWvWFJQ9fvy4lFpDBf7++2/s2LFDUKavr4/Vq1cr3BlVV548eSI4Ls8B2uUBgyeJiKhSk0ql2L59O/z8/ESvTZ8+vcjVrh999JGobOHChaKOTFFOnTqFvXv3CspsbW219jALyE9JIJ9u4dy5c9i8ebNK18fFxWHhwoWiXQUnTZqkrSaKTJ48WfQ1/+9//4sbN26odH14eLjoe1mlShWlqQUqE/lBWGRkpMoDsZiYGMyaNUvhLpPqBmGScp06dULHjh0FZbt27cJvv/1W7LVbtmypkA8RiIiISCgrK0u004+DgwNcXFy0Uv/7778vWs1+8+ZNtSeilZGfhMnMzFR6vr6+Pry9vQVlOTk5mDdvnsqpFX/77TdcunRJUNa8efMiJ9VIPXZ2dqKyEydOqHRtXl4eli5dKkizV6C0U4JWNPr6+pg1a5ag7OXLl5g5cybevHmj9NoHDx5gzpw5TJVJRFQGsX+Yj/3DsoX9w/KhPPYPq1evjnbt2smOX79+LZhzMzMzQ6tWrYq8Xn6DlLNnzwqOe/furfT+4eHhSElJkR2Xx+DJuLg4fP311wrnAfv16yfa7KSwmJgYhISECMrc3NxgbW2tlbYpClA7ceKEaOOUiqBNmzaC43v37pVSSwgAUlJSsHTpUlH5okWLtBIcrA75z4L8nD9pF4MniYioUnn79i3S0tJw7949/Prrrxg8eDBWrlwJqVQqOK9du3YYNmxYkfV069YN7u7ugrKkpCSMGTMGZ86cUdqGffv24dNPPxXdc86cOTA1NVXzHSnn4+MDIyMjQZmvry++//57pWmAr127hrFjxyI6OlpQ3rFjR52mwHZ0dMSECRMEZdnZ2fD29sbevXtFX7PCzp8/j48++ki0mnXixIkKH9JURvIP/aRSKebPn4+EhIQir5FKpThy5AhGjhwpSvtdID09XavtJGDZsmWCB8ZSqRT//e9/MXfuXERFRYnOf/jwIWbNmoXVq1e/y2YSERFRKdFVeqwCZmZmCnfb2bNnj9buUa1aNcFxdHS0wp1pCvP09ISTk5Og7OnTpxg1apTSFF5v377F5s2bsXz5ctFrCxYsUDtFJCmmKMhg27ZtoolIeY8fP5aN+RTJzMxUuIiLNDd8+HDRgq3Q0FAMHToUJ0+eFKXCTEtLw+bNmzFmzBi8evXqXTaViIhUxP7h/2P/sOxg/7D8KI/9Q/nU3YWDpjt06CCaGyusc+fORb5Wt25dhVnpCiucstvAwKDIFOFlQV5eHrKyshAXF4ebN28iMDAQ8+bNQ69evRSmW2/ZsiVWrFihtM4DBw6I5uuUBVuqy8HBQRRUmJ2djQMHDmjtHmVF+/btBccMnixdmzZtQmJioqCsZ8+eosUazWwluQAAIABJREFUupaUlCRK292hQ4d32obKxrD4U4iIiMo+Hx8f+Pj4aKWu2rVrY+XKlcU+IFm5ciWGDRsmCChLTk7GjBkz0KZNG3zwwQdo2rQpLC0tkZaWhrt37+Lw4cO4c+eOqK4+ffpg9OjRWml/YS4uLvjss89ED4F+//13HD9+HIMGDYKrqytq1KiBrKwsPHnyBH///Tf++ecfUV21a9eGr6+v1tsob9GiRbh58yYiIiJkZVlZWVi8eDF+++039O/fHy4uLrCyskJmZiYiIyNx/Phx0So3IP/9z549W+dtLi/Gjx+P/fv3Cwa19+7dQ//+/TFixAh06NABtra2kEqliI+PR3h4OP766y/RjqpmZmaC4FtOnmlfw4YNsWzZMnz55ZeC79eJEydw4sQJNGjQAPXq1YNUKkV0dDSePXsmuN7GxkYUFKtu6iMiIiIquxSlZNTmRAWQv9PDwYMHBWVBQUFYtGgRqlatWuL669SpIzhOTk7GJ598gg8//BDVq1dHUlISXFxcYG5uLjvH2NgY69atg6enJ1JTU2XlsbGxGDduHLp27YrevXvD0dERFhYWSE5ORnh4OA4cOKAwS8DEiRPRrVu3Er8XyteuXTu0aNECd+/elZXl5ORgxowZ6N27N3r37o333nsPJiYmSElJwaNHj3D+/HlcuHBBsFON/HgDyJ8I5aI47Vq1ahXGjRuH58+fy8qio6Mxe/ZsWFpaonHjxjA3N0dCQgLu3bsnSI9ZsPNY4e8TxxtERKWL/UP2D8si9g/Ll/LWP+zVq5fCAGhAvLOkvILgSkUp4ItL2Q0IgyddXFxgYWFR7DW6smjRIixatEgrdbVp0wY///wzqlSpUuQ5UqlUFMRobGyMPn36aKUNBYYNG4awsDBBWUBAALy9vYudv3379i2aNm2q1fYAgKWlpcK5yJKQD1pOTk7G48eP0bBhQ43rXLdunSgVvSbOnz+PWrVqlbie8iItLU1hZrdz586V+PPk4OCAkydPqny+/Gff0NBQFFBM2sXgSSIiokIaNWqEjRs3ol69esWeW716dfz222+YPn26aCe4sLAwUcemKJ07d8bKlSs1aq8qJk2ahKysLKxdu1YQhPXq1Sts374d27dvL7aOBg0aYMuWLaK0z7pgbGyMzZs3Y/bs2aLVwZGRkYiMjFSpnubNm2Pjxo2idC+VmZOTE7y9vUXf8+TkZGzduhVbt25Ver2hoSHmz5+PzMxMrF+/XlZ+584d5OXlcbJMyzw9PZGZmYnvvvtOlPbk6dOnePr0qcLrOnTogEmTJolSrfBngYiIqGKIjo5GaGiooKxp06Zo1KiRVu/TqVMn1K5dW7DSPT09HUFBQRgzZkyJ6y+cYq3A6dOncfr0adnx1q1bRZPX9erVw6+//ooZM2YgPj5e8NrFixcFk1jKDBkyRGsTTJRPT08Py5Ytg5eXF7KysmTlUqkUJ0+eVGmioHPnzli4cKEoE0RERAQnx7Wsdu3a2LFjB7y8vBAXFyd4LTk5GVevXlV4XdWqVbF582YsWLBAMDnO8QYRUelh/5D9w7KK/cPypbz1D+vVq4fGjRvj4cOHoteKC54sSOt97do10WvFpexOTU1FeHi47Lg8puyWZ2BggNGjR8PHx6fY71twcLAoS1nPnj0Fge3a0K9fP3z//ffIzs6WlT19+hRXrlwp0zt9qqtZs2aoW7cuYmJiZGXBwcElCp4kzZw+fVpp1sZ36fLly4JjNzc3rSxUoaJxhpuIiAj52/D7+Pjg0KFDcHBwUPm6evXqISAgAAMHDlQ7lYehoSEmT56MX375Recdno8//hjr169X+2GCnp4eRo4cib1796r1dSkpa2tr2SBdWWqFogwbNgy7du1CjRo1dNC68m3RokWi1OiqcHJyQkBAAD766CM4OzsLXktJScHNmze11UQqZPz48dizZ49Kq9qMjIwwbdo0bNu2TeHKUE5mEhERVQzyO4kD2t9VCMgfCwwePFhUrmgVviYaNWqEUaNGKT3nwYMHCstbtmyJvXv3ajRJVaVKFSxYsAArV66EoSHXlWubi4sLNmzYAEtLS7Wus7CwwOLFi7F9+3a0aNFCNJY7f/68NptJ/1O/fn0EBQVh1KhRKj3T6NChAwIDA9G+fXtRqkyON4iISg/7h+wflmXsH5Yv5a1/KJ+6GwCsrKxUep6uKADPyspKYSB3YcHBwYL3Wp6DJ83MzDBw4EAEBQVh6dKlKn3PFO10PGDAAK23rVq1anB3dxeV79mzR+v3Km39+/cXHF+6dKmUWlK5FRUgXhqCg4MFx7ro15EQgyeJiKjS0NPTg5GRkSy9gLu7O2bNmgV/f3+cPn0akyZN0ujhiIWFBXx9fXHw4EEMHDiw2IcA5ubmGD16NA4ePIjPP//8nU0w9OnTBydPnsQXX3xR7MCxevXqGD58OIKCgvDdd9+VSsoBY2NjLFmyBMePH8fo0aNha2ur9HwTExMMHDgQ/v7+WLFihdZXuVUUenp6+Oqrr7B161a4uroqPbdKlSro2rUr1q1bh3379qFly5YA8lf7WltbC879/fffddbmyq5169Y4cOAAduzYgbFjx6JFixawtbWFkZERatSoARcXF8ydOxfHjx/HggULYGJiIljJXcDU1LQUWk9ERETalJeXJ0qVCIgftGvL0KFDRWX37t3DrVu3tFL/0qVLMWXKlCIXTN2/f7/Ia+3s7LBt2zbs2rULvXr1KnZBmo2NDSZPnoxjx45h2rRpai9+I9V169YNhw8fxrhx42Tp+4rSqFEjzJkzBydPnsSHH34o+77If6aDgoKQlJSkszZXZtWrV8e3336LkydPYsGCBejYsSPq1q0LU1NTVK1aFQ0bNoSnpye2bduGnTt3wtHREQBEYw6ON4iISgf7h/+P/cOyi/3D8qU89Q8Vpdju1KmTSj/PnTt3FpW5u7vDwMBA6XWFd7OtXr26aLOJskZPTw9mZmawtbXFe++9B3d3d0ybNg0bNmxAcHAwfH19Zd/D4qSlpYl2jDUzM0PPnj110HKIdpwFgDNnzuDVq1c6uV9pkQ8+DQ4OVjjHQ7r18uXL0m4CgPwdxR89eiQ7NjExKXZHXCo5Pan8UiQiIiIqkby8PNy5cwf//vsvkpKSkJaWBlNTU1haWqJZs2Zo3LhxsYOvdyE+Ph7h4eFITExEUlISDAwMYG1tjcaNG6NZs2Ya7fioa5GRkYiKikJiYiJSU1NRpUoVVK9eHY0aNUKzZs2404UGEhMTcevWLTx//hxpaWkwMTGBlZUV7O3t0apVK35Ny6kDBw7giy++EJSFh4fDxMSklFpEREREVLTExERcvXoVMTExyMrKgpmZGezs7NC0aVOVJ3FycnIQHh6O58+fIzExERkZGahatSqsra3RvHlzNGzYkBPipUAikeDu3bt4+PAhUlJS8PbtW1hZWcHGxgYuLi7FLpKjsikvLw8tW7YU7LjzzTffYOzYsaXYKiIiqkjYP6y42D+smCpT/9DDw0OWtrpv37746aefSrlFVBGMGDECERERsuN169bhgw8+KMUWUWnZtGkT1qxZIzseOnQoVq5cWYotqhwYPElEREREVMHID64sLS0REhJSii0iIiIiIqKKIi4uDt27d/8/9u49SrKyPBT+s6u6e7rnysAMIDDMgAgiipKgxKAxQIyCH4ge8sXLF43GqDEXVowuL8REPX/IYWV5Wychkm8ZD4ke/MIioAlolgInOUTlKKCihKtchssAc+97Xfb3B3G0uqt6uqvet3t66vdba9aa2lX11FN7v/u97HqqumXb5Zdf3vbPJgIAcPAzP4TefOUrX4n3v//9+24rzO1f559/ftxzzz37bl9zzTVxyimnLGFG/WHhf5sUAADI5gMf+ECMjY3F5s2bY8uWLXHGGWfEscceu6AYt912W8vtE088MWWKAADAMnXDDTfEl7/85di8eXMcd9xxceKJJ7b9k4VzmbneiIg46aSTUqUIAMAiMj+EpXfuuefGZZddtu9Pkt90002xY8eOOPTQQ5c4MxbTnXfe2VI4efrppyucXCSKJwEA4ACyZ8+euPHGG/fdfu1rXxuXXXbZvJ//yCOPxC233NKy7UUvelGy/AAAgOVrYGAgvvWtb8W3vvWtiIgYHByM7373uzE8PDzvGF/+8pdbbm/cuDGOPvropHkCALA4zA9h6Q0ODsbv/M7vxKWXXhoREdPT03H11VfHO9/5ziXOjMX0xS9+seW24794KkudAAAA8DPPfe5zW25/4xvfiB07dszruY1GI/7sz/4s6vV6y/bzzjsvWX4AAMDyNXO9UavV4h//8R/n/fxrr7123wfrP3XuuecmyQ0AgMVnfggHhje+8Y1x+OGH77t91VVXRbPZXMKMWEy7du2K66+/ft/t0047LV7xilcsYUb9RfEkAAAcQF75yle23B4bG4v3vOc9sW3btjmft2PHjvj93//9+Pd///eW7S972cvi5JNPTp4nAACw/GzatGnWB+SXXXZZfPOb35zzeWVZxhe/+MX40z/905btK1asiLe85S3J8wQAYHGYH8KBYXh4ON797nfvu/3oo4/GDTfcsIQZsZi++MUvxuTk5L7bF1988RJm03+KsizLpU4CAAD4mT/6oz+Kr3/96y3bVq5cGa9+9avjpS99aWzatClGRkZifHw8Hnnkkfjud78bN9xwQ+zdu7flOevWrYurr746jj322MVMHwAAOIDddNNNLR/K/dTpp58ev/7rvx4nnXRSrFu3Lur1emzfvj3uvPPOuOGGG+K+++6b9ZwPfehD8du//duLkDUAALmYH8KBoV6vx+te97q45557IiLiOc95Tnz1q1+NoiiWODNyGh0djbPPPjt2794dERFnn312XH755UucVX9RPAkAAAeYp59+Ot7ylrfE/fff33WMtWvXxuWXXx6nn356wswAAICDwSc+8Yn4whe+0FOMt7/97fGBD3wgTUIAACwp80M4MHz3u9+NN7/5zftuf+Yzn4lXv/rVS5gRuV1++eXx6U9/OiKe+QXS66+/Po4++uglzqq/VD/60Y9+dKmTAAAAfmblypVx7rnnxgMPPBAPPvjggp9/2mmnxec+97k45ZRT0icHAAAsey9/+ctj9erVcdttt0WtVlvQcw855JD42Mc+Fu94xzsyZQcAwGIzP4QDw1FHHRWPPfZY3HXXXRERcffdd8cb3vCGqFQqS5wZOezcuTPe+973xtTUVEQ88+e6zzrrrCXOqv/45UkAADiA3XLLLXHVVVfFzTffHNPT0x0fNzg4GGeccUa88Y1vjHPOOcefcQAAAPbriSeeiCuvvDL+6Z/+KbZt2zbnY4877rh47WtfG29605ti3bp1i5QhAACLyfwQlt7o6GhceOGF8cgjj0RExIc//OF461vfusRZkcPHPvax+NKXvhQREaeffnpceeWVUa1Wlzir/qN4EgAAloGpqam4++6747777os9e/bE+Ph4rFixItatWxdbtmyJk08+OVatWrXUaQIAAMvUww8/HHfddVc8/fTTsXfv3iiKIlavXh1HH310nHjiiXHUUUctdYoAACwi80NYOnfccUe8+c1vjnq9HuvWrYuvf/3rsX79+qVOi4Tuu+++uOCCC6LRaMSaNWviuuuu8+e6l4jiSQAAAAAAAAAAAKCvVJY6AQAAAAAAAAAAAIDFpHgSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+MrDUCQARMTkeEeXivubwqhk5jC3u689DWS7yPulGo54+ZiVDXXu9kT5mNUOezWbr7aKIYvUhLZvK0V0RC2kbOZrRcmibERHN9Me9nHmMDlBF4vOonK51vrNSicrGI1s2NZ96YnZ7nqlIkNhiBK3N8d67VDYy9En19HnG4FDykEWR4RhV5hmzqETlWce0bGo+vjWinN1Wy6n0+7NYtTJ5zBztM4ZXpI+ZWOo+LiKibKYf24pKtcsnFlEccmjLpnLXjmfG3xzzj07nZVFEsXpd+tc7mMyxjikzzJOL6kDydUzZpg/sXeK+vp5hzZFjPptl3p3++OSYh7T0d3P1YQtQ5pjL7x1NHrMYSn9psRwfTx4zahnOo6HB9DFH0x6jcnKq850DgzHwiy9u2VT/3v/Z77w6y5xuIMO+rE+nj1lNn2e5Z0/ymMVIhvlsI0MnPzjP/qM6ENWTn9+azl13tr8ml2OtOTySPuZIhpiN9GNmkTrPHPOPHOuDge7XMZX1G1s2NXc+FVGWUQxm6Oc6HfKiiGLtIR3uZPqaf4uYaD8+Vp+Xfv3XuH88hi56RWsOV/+viB6uu+TIM1YMJw1XPrYrabyIiOa2OeY1XcqxL4sjjkges/njh5LHLA6bccwHqlF9wS+0bGr88LY8ny0tQPOR9GuYHConbEges3nf08ljlnszrIfXdDludoq3cj9zxKGBGPiVl7Zsqv/rtyKmO6/5yvEM16g2ZPjsYCR9zHL7ZPKYsTL9/Ktxx+7kMasnrkkec0FtaWgwBl/9spZNta/974gZnzc2fpT+vVeOXZ08ZupzfbnYb5/UTcyZY3ACXZ/rc/SpxVHp1xRzjm3DQzH462cmf835UjwJB4QyFr14sm0OB5oDMacZsnzomCNmhg+FywwFQPN572W5wOLJZXKMcshR6LhMiieTW+j7bjYPnuLJHB8+ZSmezFHMnmExmKN4cr79caVN39VstG+rOb4ckKP/yNGW+rafyzC2dd3e2zyvbP7nHKCnjDrwBxm6N8c6Jst8qV3MHl8nR56pu/plsz5IHzJLnjn6+Zb+bo4+bCGyjJsZxvdGhrlNjnldji/azPcLLAuR+osh03MUELZrk7Xp/eeQo2g0hxxfssnRz811jLo1kGFuk6Ewb947tF1brdfa9xU51gc5inuXyzo7dSH/cph3RUQ0uwzabv3TbC78WuZ8dYxpfTOniamI8Q4fLtcyFDa3K9ScmIqY7KH/z5FnNfE1sKn0hY4dj1svcuzLHP1xjv1Zm9FXlG1KBmodxtvF1KHY+YCTY72R471nKCKMgcTlJtX9nEPtrhNMTc8qSGsxkeF9Z5jGZ6ncydF/dPtFk7mMZujjp9IXoy6oLbW7rjM5NfsLFHsmesupnfEMjSn1ub5c7K9P6sbMMTiFbs/1ufrU5TK2JWIVBQAAAAAAAAAAAPQVxZMAAAAAAAAAAABAX1E8CQAAAAAAAAAAAPQVxZMAAAAAAAAAAABAX1E8CQAAAAAAAAAAAPSVgaVOAJhbWZbJYxZFkTxmFqnfe4Z9GZVlUoNeZMiz2Uwfc9b+bNNWi0pEsYBjWav1lNJyVuZ4783lcR6Vk1Np4zXqne9sk385Nbn/c6Q2R8wDSLFiRfqg42PpY65clT5mPf0xyjKuz/cYtXvpssP2arWHjDpoNJKHLDPELKamk8dMvT/LZob+fTD90rCsdzlXKCqzZgBlvR5RNiOa6ceMYqDDe88xf+ojHfdrD8pGc3bbaDSjfUc2Tznm88n7pgzzryztO8P6oN164ABUjo3+7EalEsX6Da33j48tfP2UYd5dDA0lj9ny3lPZsyd9zJUrk4csH3syeczikMRz2ok5+qN6m35gohFRm7sPK8fSH59iQ/q5fDkxmTxmTGfo51bkGIfS51lmmCOXT8xzXTg0GNUXtG5qPro7Ynr2nLhYnX4dk2NOE+PpQ0Yl/ZhZjiZuSxn2ZTE8nDxmTHZ5LaDdvHJq+pk5QI52tEzmSQea6vPWRdRG2t853GF7D4o1s8ejYk01YqiHNpEhz3LH7qTx6v/7qaTxIiIG3/ai5DGnP3lr8phDb08eMsrR9Ncoi+cc2rqh3bWrdesXtL5t3v5Qj1nNVjn58OQxc5j+qx8mjzn4hmOTxyxWZxiLNybuk/bXx1Vnv4fiqPURc3yGUznyyF6zmqX547uTx4xDDt3/YxaoiB3JY+YYhyqb036mF5Gn7xy79vF5P7ZYsyLWXdi6bfz6bVHubX2vK8/emCK1Fs0H9iaPWaxP/1lhsT79darUiiPSv+/6zduSx6y+ZH13TxxsM/6vrEYMNqN8JH3/sfVTD3a8r7pxVRx7QfKXnDefBgEAAAAAAAAAAAB9RfEkAAAAAAAAAAAA0FcUTwIAAAAAAAAAAAB9RfEkAAAAAAAAAAAA0FcUTwIAAAAAAAAAAAB9RfEkAAAAAAAAAAAA0FcUTwIAAAAAAAAAAAB9RfEkAAAAAAAAAAAA0FcUTwIAAAAAAAAAAAB9ZWCpE+DAMz09Heeff348+OCDERFx9913L+rrP/HEE3H11VfHrbfeGvfff3/s3r07qtVqbNiwIZ73vOfFOeecE+edd14MDQ0tal4AAAAAAAAAAAAcHBRPMsunPvWpfYWTi2l6ejo++9nPxt/+7d9GvV5vua9Wq8XWrVtj69at8S//8i/x2c9+Ni699NJ4yUtesuh5AgAAAAAAAAAAsLz5s920uPbaa+Pzn//8or/u2NhYvOMd74i/+Zu/mVU42c6jjz4ab33rW+PKK69chOwAAAAAAAAAAAA4mPjlSfb56le/Gpdccsmiv25ZlvG+970vvvOd77RsP+200+K8886LY445JsbGxuKOO+6Ir3zlK7Fnz56IiGg2m/GJT3wijjrqqPi1X/u1Rc8bAAAAAAAAAACA5UnxJNFsNuOKK66IT3/601GW5aK//lVXXRU33njjvtvVajU+/vGPx0UXXdTyuPPPPz/e/e53x3vf+9649dZbI+KZ3D/0oQ/Fi1/84li3bt2i5g0AAAAAAAAAAMDy5M9297mnn3463vGOd8SnPvWpJSmcHBsbi8985jMt2y655JJZhZM/tXHjxrjiiivi1FNP3bdtz5498dd//ddZ8wQAAAAAAAAAAODgoXiyTzWbzbjmmmviwgsvjFtuuWXJ8rjuuuti586d+24///nPjze/+c1zPmdkZCQuu+yyqFar+7Z96UtfitHR0Wx5AgAAAAAAAAAAcPBQPNmHbrzxxrjgggviQx/6UDz11FP7tlcqlfiTP/mTRc3luuuua7m9v8LJnzruuOPiFa94xb7bk5OT8c1vfjNpbgAAAAAAAAAAABycFE/2mT179sTv/d7vxb333tuy/cgjj4wrrrgi3vnOdy5aLrt27Yof/OAH+25XKpU4++yz5/38c845p+X2DTfckCw3AAAAAAAAAAAADl4DS50AS6tarcYb3vCGeO973xurV69e1Nf+/ve/H81mc9/tE044IQ455JB5P/8XfuEXWm5/73vfi7IsoyiKZDkCAAAAAAAAAABw8FE82aeKoohXvepVcfHFF8fxxx+/JDncfffdLbdPPPHEBT1/8+bNMTg4GLVaLSKe+VXNrVu3xqZNm5LlCAAAAAAAAAAAwMFH8WSfqVar8ba3vS3e+MY3xubNm5c0l4cffrjl9kKLHqvVajzrWc9qiXMwFk/29S9plmXaeDn2ZeocIyJ+7hdZk6lW0sdsZMhzaqr1drtjNj21oP1e5tifOdpSjv1ZZDjugxne+/hE+pjVatp4zQWe6815PGcwwzQsQzsqx8eSx4z//OJDUnv3pI+5clX6mNPTyUOWlXme65XZ50VZq0c0G7Mfu2d3j1nNVg4NJY+Z/FyPiLJeTx4zBgeThitWrEgaLyIW3s/NR7fHp904WxQRkWFci4iy03lZqUQfz8R7lmUO1q6/q1Qioof222jTB/Yq9fmUY82RI2YOOfKcueZI4efH2LbttBqxwB6lnMgwBxtKOx5FRJ51TA455rQD6UeJ8sm9aQOummMsHmhz30g1YnDuY1o+nv4cKnfvSh4zJjO0zXUZ1nDbM6zhhtKvOYpD0/cfxcp5zhUHZz+uGKlGDMzed8VwhvXBE+nXRrEy/by2WJGhjx8eSRsvxzomx7WVwS7Xru2uw1UHIip5xsqy05zGOmZO5cR052sz4xn6z42z232xcUVErft+YO8nvt9LSm2tvexXk8YbfOO6pPEiImIy/TXkgbOOSB6z8f2dyWNWzzgqecz6tXe1bhgZiuoftv7ITf36eyIm5n9eFOvTX/trfOex5DHHb3wqecwcBraln3dXf/mk5DFr//P25DHnNDIU1VNObdlUv/HhOdtqufPujvd1q3L8mvQx44nkMZv3pl8LV19xaPKYjTvS9505DG8Znv+DV82eA6w4djhiLP9MbeBVRyaPWXn2luQxm/c/mD5m4jZfrEw/tk3cnn6NubLbMXh4KOLM1k3NB8YjJqej+UDia1QRceSL5lhjHrKA8ysDxZN9ZtWqVfHBD35wqdOIiIinnmqdnB5++OELjrFx48aW4slt27b1nBcHktSTh2Vy2ShLwWyGmDnynBmzY/HEQmJmKLTIcojyFIQkl+O4z7fwayljtik6m/O15vP6OQ55meH4ZChOi2qGKWiWdpTjvWeIOd88F9JWBzIcoyxtaZnETN4n5ehADqC5wlzj/2KOwctlbD5gLebcu5fXytH2D/iAy8gymXv+fL/V7dxwpuUwHkXkyTPHPKSXIutOctTCDCY+Ru0KJPfd12Y/z2ffD2V448ulSHwoQ3svMuzP1O0oIvmXgSJi/seo3Wt3ymeuNt+tHF8izXGMsqzhEsdcLmNbt+uAds/76bYs11GtY7oyOLi4XyTqdrydQ7EmQyFy6nMpx7W/HLIUnueYc2fYnyMziiyG2xRdtNs2l4U+folkOYdyyNE+c4ybM9tSbt201fS18Xnae445d448c8zp2hQaLnvtiu4/T3tyAAAgAElEQVTabVsubSlH/7Ec2nyGdVaWcajb991urPnpthznZW2OdVGGQtWFKMpyufzcAIvlpJNav3Uy889rp3LRRRfFD3/4w323P/nJT8ZrXvOaBcV417veFTfffPO+25dcckm85S1vSZUiAAAAAAAAAAAAByFfQWPJTE5OttxeuXLlgmPMfM74+HhPOQEAAAAAAAAAAHDwUzzJkpmebv2N7IEufvK2OuNnoev1ek85AQAAAAAAAAAAcPBTPMmSaTQaLbdnFkLOx8znNJvNnnICAAAAAAAAAADg4Lfwn/qDRGb+0mQ3vxo58zlDQ0M95bRkJsciolzc1xxePSOH0cV9/XkoG4mLYYsibbyIiDLDcSszFAEXGWrlcxQr11p/kTaKIor1G1s2lTufWtB+L5sZjlGGphSNRe4DulXJ8OYnJtLH7KIgfy7ldK3znZVKVI/d0rKp8fCD+z9HcnyFJUc7qk/v/zELNTmVPmYlww4dWZk+5nSG975ieH6Pq1Siuvm4lk2Nh37Svq2O7kmQ2AyDg+ljJj7Xn4mZYYnUxS+sz6VYsSJpvP+Mmj5ktcvzsiiictjhLZua2598ZvzPMQZ3mitUKrPyYIY51jF55mBFFCOt65hyosd1zIwv9SWReo2QY32wTKaeOd57OZ5h7vnza81KJSpHHNVyd3PbYwteP5Xj4ykyazWYYYzLsT/Hx9LHzNDoy+kMf/1kPHGftHKOudLAQAycfkbLpvp3vxOxn+tz5bYM89kc11YmM8Rcm2HuWcvQxw+mXxsV6zPM5afneYwGB2Pgl3+pZVP9378dUZu9Ti9G0h+jcm+Gc31lhmM0lKGPXzGSOF76a/fFygzr9oEu8ywqUTn8iJZNzSe3RZTNKIbTv/dyqsO1qkolKhusYzqp/59bI6YzXOvqZGAgBs6Y0Yd959v7HW/nMvY/Hu41q1nW/PmZSeOVu3YnjZdL896nkscs96ZfY1Z/4cjkMes3zmhHw0Ox4nd/vWXT1N/8S8Tk/M+X4pDl8RntxL89vdQpzMvK847Y/4MWqPriE5LHrF3zw+Qx59RFWy13p+/3K5tX7/9BC415fPp5TfOB9NcWqr+8JXnM2v+8M3nMJbdyKIbf+3+1bJr85D9FjLe2x+XSlipbNiWP2XzwkfQxE7f56inrksaLiBj96/uTxxx5+YbunrhiMIb+77NaNk3/fzdFTNWi+VD6+qFy1xz98dqRGPmz1yZ/zflSPMmSGR5u/aB/5p/xno+Zz1m2xZN0sBw+0ctRPJnjg+Zlkud8Ypblwl47x4fNOSo3suSZQZnhvecoxE1dLN1c4EWvZnMez1km+zJHUUkjw4dPZY4i8RzvPUPMXvLs1FZ7uIjfUY4C1ywynJup3/ty6Dcj0o4ZCx3/FxS7w/5cDlPRA1qOHdipTfXyWstgnpxl3p0+ZBY53vtS9KHN5sJfN8ecodui9rnkyDPHPCRHo29TuNV7zMT7s77AdlevR9T3877m+mJZt3IU3E9lONenM1xKn85RIJ/hXM9w2KPWw3Gv1dqfg4M5vuiboU+qZThGOZZbA4nfeyNDAXKOcT3lNbqy+Z//FvEL+MtlnrdUOvUfi6le7ymHcm+GLzKkPpdyXPvLoVMRci8mM7z3HPtzYh6fyU5Oz+9xPzXP73cvtSznUA452meOcXMhbSSX/bXVsQzHfDJDTUItwxeWFlAAPW85rgPkOEYHovHp2e91ubSlLD+qlGMcTtzmM1yjyjIOpXzfU7Vn4uU4L0fnyHMgw3pxAZbLJ5gchNata63SHh1deOXy2FjrrxGsWbOmp5wAAAAAAAAAAAA4+CmeZMkcdthhLbd37dq14Bjbt29vub1x48YOjwQAAAAAAAAAAIBnKJ5kyWzatKnl9rZt2xYcY+ZzjjzyyJ5yAgAAAAAAAAAA4OCneJIlc/zxx7fc/slPfrKg5+/Zsyd27ty57/bAwMCsmAAAAAAAAAAAADCT4kmWzAte8IKW2z/60Y8W9Pw777yz5fbxxx8fQ0NDPecFAAAAAAAAAADAwU3xJEvm+OOPj40bN+67/eSTT8b9998/7+ffcsstLbfPPPPMZLkBAAAAAAAAAABw8FI8yZIpiiLOPvvslm3XXnvtvJ7baDTin//5n1u2nXPOOclyAwAAAAAAAAAA4OCleJIlddFFF7Xc/vu///vYunXrfp935ZVXxuOPP77v9rOf/ex48YtfnDw/AAAAAAAAAAAADj6KJ0nqmmuuiZNOOqnl33e+852Ojz/11FNb/tz2+Ph4vOtd74odO3Z0fM5NN90Uf/EXf9Gy7Q/+4A96Tx4AAAAAAAAAAIC+oHiSJXfJJZfE8PDwvtv33XdfXHjhhfG1r30t6vX6vu3bt2+PT37yk/Ge97ynZfvLXvayOO+88xY1ZwAAAAAAAAAAAJavgaVOAJ797GfHpZdeGu973/v2FUVu27YtLr744lizZk1s2rQpJiYmYuvWrVGr1Vqeu2XLllm/QgkAAAAAAAAAAABzUTzJAeHcc8+NgYGB+OAHPxijo6P7tu/duzd+/OMft33OqaeeGn/1V38V69evX6w0AQAAAAAAAAAAOAj4s90cMF75ylfG17/+9fjN3/zNWLNmTcfHbdq0Kf70T/80rrrqqti4ceMiZggAAAAAAAAAAMDBwC9PMsvdd9/d9XNf//rXx+tf//qun79hw4b4+Mc/Hh/5yEfitttui61bt8b27dujUqnEhg0b4pRTTokTTjghiqLo+jWWm7Is0wdtljFzD5aNZkR0/1pFtdpTSosix77M0RYry6SuvdlIHrJde5/VVstyYccyxzHK0JSikiHPqen0MTPsz3JqKnnMGBpMG296jhzb9X+1qYjGfs6Rer23nBYrZo7+fXIifcy169LH3LE9fczh4fQx53tetntcUbTfXqv1llM7q1alj5lhbC9WrEgeM3We5dRk0ngREcXgUPKY++0HO2k3F6rVIprNiIEMS9hOY3AfrTm6VTYbndt3jv3XaDPONeq9nWM55t6p58kZ5onldPp5YpEjz2Yzecws68Ly5/NsE7/ZeKYPW1jQXjJqb2wsfcwM889yPP36oNyZYW6Toc0XG9KuY5rf2dn5zpGhiF+a8fjbd0VMzN0/VJ6zOkFmrRp37U0es3Jc+rln+dB48pjFoTnmYOlDNm/fnTxmcfg810YrZveH5fbpiKk25/X6xNcCIiKGMpzrQxnmtDnGzNQxu10fzKHMcO2r6yPebl5Zn45oNqPMMK53XMMtl2vLS6QYGer4yWjxrKOSv17zPx6evXG8ETHd/fmw9jOv6iGj9soHf5I24CGHpo0XkeV6YuW4zj/k0rXhkeQhm3c9mTzm4BtPa93Qpu8YfP0LFjQWTP/Vt3tNa5aBl6X/EZ2R09JfR65sXpk8ZjPD3DOi+xqATqovSfwXIsf20z+2+eyn+tw1EdOd13yjf/9Ir1nNMnnH6P4ftEAb/uC45DErR6X/PKLxv+5PHrP6ooPwL42uaNNWn79u1jpm7NrHk790+h4ponHr7cljVk9Zmzxm43tpP9drPpD+esWqC5+VPGbXY0abaUu5a3q/14a6Vayf4xrI2gzr+QVQPMkBaXBwMM4444w444wzljoVAAAAAAAAAAAADjK+ggYAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0FcWTAAAAAAAAAAAAQF9RPAkAAAAAAAAAAAD0lYGlTgDYj2YzeciiWm2zrbda6rLR6On5i6Is08fM8b5z5FnPkGePbaadWW2zKNo/ZgH7qJyu9ZrW7BwGZp9DvSpr9eQxo8253qty967kMYuRlcljJs9zfKzzfQODs7ft3h1R30/bW7W6t5zaqaVv7zE9nT5mhrEtRkfTx8xwrmfZn08/Ob/HDQxEbDm+dduOpyLqs/ufcipD35njuGfYn+XUVPKYUU287FqVod+cmEges1jdZT9XtJljVKrPzAvatNeerRjqkMfseQgzLPo+avd6RfvN85Vj7l1JvF8yzBOL1DlGRJljzZHhnC/37EkeM4aHf/b/yuz5Qzldj2gucP/kGDczzOXLDOdQuTvH2ihDf7Uz/XypcfvOpPGKo0Y63zncZn6yaiCiOnfba943x9qoW1Pp+4/GbTuSx6xsHN7/gxao+Wj6OViOsa1YmeFjhOl59nNFm/czXc7/+T0q92Tok2oZ5h8jGX4nY3faMbM45rCk8SIiYjL9OVR2O8edYw5QtLt21KOy0zWgSqWn6fHBrvHj3RHjk23vqzyVYV38rDWztx02HFHvvl996IKv9JJSW5s+ckLagONPpI0XEcWh65LHLMczXKfLELNy3Ox21Kv6137UumF4KIZ+a3PrY268O2Jy/u9n8sH251YvVr0o/ThcPWVt8phP//efJI+5/qz042axOsOcbiztXL54ztFzP6DdZ9zHP2vOz2tX/z+9ZjXbyI/SX1soR9O39+ZD48ljTty+O3nMNX98YvKY05+/L3nMqd3zX4MUa1bEugtbt41fvy3Kva2fPwxvSb/OrByVPubT1zyePOb65BEjqr+Ytu8s1qbvN4sjViSPWd7R5fWkNsN8uXs6YmwqivXp89x50/aO91UOa0b6ljt/fnkSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+MrDUCQARZVlGRNn2vqJaTf96zTKKNts65TAvlQy12M1m2njFzHedQI73XW+kj9nLse0o/f4sJydbN1Qqs9vq1PTC2kbqdhQRzYmJ5DGLwcHkMcvp6eQxY3AoechyfCx5zBhZmTbe1FTn+9r109VqRLmf826umN1qZug/MpxD5e5a+pjj6fdn5eiR5DFzjBtlbZ77s02TLGv1iHqb54/We0uqner29DFHMhyjHOPw+lVp4+1Ivy+LI56VPGbZ7XjZ5jwpJycims0ohtKPQzHVYbyspJ+HH3Qajf2PdykVy+T7n8thHZMjZqTvP2etDxIo1q5JHrO1v2tzTjTrz5wvC7Fnd085tVM20p+vxWCGaxZT6Y97uTvD3GY8x3wp7bnZ/PEc7WjVitmPv3tPxNh+5tWD6fvixo70a9ccS6PKU+nzHDxlXfKYzQdHk8eMDbPbS6+aD8wzz1UrYvANrZsaP9jZtq1WX74xQWYzTGQY32oZ5k/j6cf24pDE16pyXP855ND0Mdutkeej2mYO2Kg9MweY77p9ITod8gyfJxxMGj/cGbFrvO191ReekPz1yonZx76cqPXUJjZdelIvKbU3lravq552atJ4EREPvuofksc8+neOSR6z8pzE14AiovaPDyePOfCqI1s3tPl8onL8yoja/MeCxFfkIyKiftO25DGH3p7+XD/stzclj9m4Y2fymLEq/Rjx9H+7L2m89WftmfsBI0NR/cMTWzbVr78nYqLzXL35wN4UqS1LO29Kfx15/VmHJY+591P3JI85vGU4ecyR4xewLhqZfR17+AVrZ7XVHMdo4qb015QefXA/52YXTn/R6uQxU5/v996cfl/+6J6nksf8L587o7snDs9up5XNqyMmh7LMaQ7bPMdsYST9dYeFWCafPAAAAAAAAAAAAACkoXgSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+ongSAAAAAAAAAAAA6CuKJwEAAAAAAAAAAIC+MrDUCQARRVF0vK8sy/Qv2C5mWUZED6/VbHb/3E7m2C9dyZHjdC19zMEMXXMzfa18OTWVPGYxNDRjw+w2UAwOtm/DHZTj472m1T6HxMrp6eQxo15PH3Mi/f6MNWvTx3zyifQxO2m26auajWf+zaWxn/u7SeXp9O2oWJO+Typ3ZWibI+n7ueZDY8ljxlCG7y5V5zleDs3eVO6stR3LihUZxo1GhjnNWIY+fm2GPmlsNGm4cmwiabyIiNi7J33MwTaNbl7a9avlM3O51PPDiIiBavvtFd813K9KZUHzst61Of69tokM43FZSzvOFRnaYjkxmTxmjrZQDGWYd09lmHeP7v3Z/wfazJ3GRruYm2fo7zKELHekXxeWO9Kvs8tdGebJKzqMHz2YvDvtnGGuyzzFZCWGZ2yb3l6Lcu/c+786lL4h1cbTX6/Z33KsG6uO7nZu09neW3Ykj7lyQ/q2WeSYyzfnGbPTdcw2zy8fzzC+rc5wnW5P+jVx5biR5DHL7Yn7zhztaDz99Z9i42HdPbHd26s3IhqNKDNcoyvazTk65cE+A7+8IWKi/fylfvO25K/XfHI6Bs5s3Vb7x60Ro93PoQbfcGyPWc3W+FHqawK3J44XsekjJySPWWxM33fGcIb+eOfDyWPWrpoRc/WKntvq4PlHJ8is1a0fSX9evvQ9L0geM2Lv/h+yQMX6FcljNm7dmTxmagO/esR+HjB7/Bs4c+Oca+6Hr3my17RmOfp3jkkes/lA+na04Q+OSx4z/ZjR39af1eXccw4TGdr8S/7r85LHLNamX2uNXft40ninfOWVSeNFROz5la8mj9l1/7Fq9ljTfGg0YmwqS580p7UjMXjB4r7kz/NpEAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfUXxJAAAAAAAAAAAANBXFE8CAAAAAAAAAAAAfWVgqRMA5lYURfKYZaVNzEolIsoegvbw3E6azbTxcuRYTV+DXk5NJY9ZrBhOHjPGx5OHLOv11g2VSsxsreXU1MLaRmV5HKOYmkwfM4dqhqnDYrSlXk3M0eYGZ/ct5WgtolabM2Q53ug1q9mmEvebEVHu5310pZmhPx5Lvz+Ltenbe7kncduMiFhZnd/jGm32e6Nsu70czdA+96Z/78Wqeb73hRgYSx9zZGXScMXwiqTxIiJi9670MVev6e551TbHdWoiotGIGBrsLad2OvVz7fKgVVl2nmNnWMe0jdnr62RYIxSp20679VuvcqyNBjOcnznm3Y0MY3FRaf//n9/WbvtcGhneez39cW9unUgeM6bSz0PKh9KP7+Wq9HPFie1p22dtvPMxr6yrxtoZ2/Y+Vo/m7rnn/7ufSr92PeTI9NcspvemXxv96N+eSh6zkmG8POb4dcljbqyl7z/K+R6iYnafUB9rRLRZswxuz3BNLcP6tTg8fZtv3jWaPGZxRIZ1R2Ll7gzrzHVd9nMDbcaF2lREvR7RzDC2remw3sowdTyYlHsbEePt283Arx6R/vXa9J+Drztmv9cN51K76uFeUmpr8Pyjk8arffXRpPEiIqZ2px/b13zohcljlo/sSB5z4Kz0bbNYPaPPanO9ZfBVz4qYnn9bbfxoT69pzfL8szYmj1nu2J085l1/fk/ymCe9/ZjkMYv1Q8ljfu+mx5PGe/XHnpc0XkTEMX+8JXnMLNf5M2g+ln79NnF7+nNo5LT0a5jmA3uTxyx3Ts//watnz6WbD41GjLauWXY/tICYS2j8xvTr4RXr0n+GP7wl7VqrvDf9nOaMz5yaPGbzoS4/ax+ZPS4U64YihvKMGXOeQ6vTv95C+OVJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6iuJJAAAAAAAAAAAAoK8ongQAAAAAAAAAAAD6ysBSJwBElGUzoizb3ldUMtQ4N5sdtrXPYV6KovvndtJhn3Qtx75MnWNEFCuGk8csJyeSx4yBDEPIzHZUtDlm1YGISps23EE5keG9ZzjuMTaWPubISPqY09PJQ5bb96aPOVpPGq8YqXa+s9KmPTTKZ/7NJUMzKrenPz7F8BzvvUvl3lrymFGbf78wX40fTyWPWazM0HeumOf4NjI0a1PzwbGIidntprIhw1g03Uges1iVvp9rPppj3BhPGq7y3COSxouIiKnJ9DGrXfYf7Z73n9tyjOs55l5k0mgzvjfqvc3N2s03e5V46CynM4ybOeby9bTzr4iIst3atVc51gfTPzdnaLYZ76anFrx/yrEM+3NXhrY0ln58Xy5f9d75w/RruDJxkx9a03lnFqtn3ze4uhJlc+4DcOhQ+vnXY/enXxM+9sie5DFPfsHhyWPmyHNgRfprdE/fnX5ttPrIwXk9rihmj/PTo2WUe2efMAM5+s4Ma83KYPqOrtyV4XrAuvkdo3mrZ7iOuib9NYuodTletpuT1mrPzAEOObS3nNqpdWjvGaZPB5PKcSMR0x3azXD6MW7s//2PWHfmjG3/4+Eo93bfr6750At7zGq2+tceTBpv8A3HJo0XEZG4R1pWmg+lva4UEVGsn3GdcHh259F8YipiMv34shA7f5J+DjL53+5LHvM5v7ouecwcirXprwVs2nJI0ngP/9EP57y/cshwbP7aGS3btn74rmju6nxt86jXp5/H3/35rcljPvdPjk8es/G97cljTu5KP+eevCl9nus2z/48pFeV49fM/8FtPo+pbF4dMdG6/aYrbu81rVl+6SVHJ4+Zoz/e9JETksdsPpb2c47aVx9NGi8iovqLhyWP2Xygy+sqq1fMjvXQaMToVNx78+4es5rtxNdt7HxnY2kvCC6Ty5EAAAAAAAAAAAAAaSieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPqK4kkAAAAAAAAAAACgryieBAAAAAAAAAAAAPrKwFInAMytbDTSBy3a1E0XRW8xy7K357fTa04z1etp40VEVKvpY9Yy5Jnh8OQIWk5Mtm6ozG6r5eRERLM5/6C1Wo9ZtdEmr56tWZM+5t696WM2MrTPkfT7s7J+bdJ4jTu2d75zeHZ7bD4+FTE5PWfMYm36aVi5cyp9zHqWDiS5cjRD2xxN339k2Zs759knrpr96uWTUxFjs9vNQrrZ+SpG0o+ZzfvGkscsjhpJH/PIFUnjlQ89nTReRERx+KrkMaPRbUNqMwdsNH/2L7GyOd7+jgHL5f0qy87rgCzrmDZtY64c5hWz+6d2lLgTLTLMPcvpuecpXcXMMe/OsYZLvc6MiFgx/LP/V9v0HUPDEdUFvpcM87osMlwLaN43mjzmxI70bWlwZfpzc3Rb2jyfvr/zXGng0FocPmPbY/fsjfqOiTlj3vrgHGujLr302RuTxzxs48rkMR+4d0fymCMrB5PHvPPWbclj7plI38e/+MVHzetxlUMqceiMbXsfnY7mrtljWW0s/fxj9ZHpj9HQhuH9P2iBirXp80y+zh7KMAZX0/fFRbfnZbPNmNgsn5kb7t3TW1LtdJrPDaZvCweT2lcei9jVfg34xB1zj4HdOOrNx8zaNvyCtRET3c/HG995rJeU2mo+kPY6cmVz+nG4+VCHtXsPyp1PJI9ZfdH65DGL9UPJYza+N2NOt3pFxG/NeMz3d0SMzn9dUhzOhnoAACAASURBVDk+/WccR74o/XW6HKZ2p79e9fDntyaPefLHTkwe88TXpZ3Llzv30z+unn2d9fDnD0eMdp5n5DiHUr/viDyfGeWw/qzDksfM8dlWDjtvmv96uFg3HEf8Yeu2XbfsjHJ362fh/+VzZ6RIrcV+z6MuPHbNk8ljPvJf70se85g/3pI03u6H0u/LDeenXw+WO7scg0dm94+VzasjJoYibt7dY1azzTlXWJl+vyyEX54EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvKJ4EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvKJ4EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvKJ4EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvKJ4EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvKJ4EAAAAAAAAAAAA+oriSQAAAAAAAAAAAKCvDCx1AiytO++8M6699tq47bbb4tFHH43R0dEYGhqKo48+Ol74whfGeeedF2eeeWb2PEZHR+P000+Psiy7jvHJT34yXvOa1yTMCgAAAAAAAAAAgIOR4sk+9eSTT8af//mfx4033jjrvnq9Hvfee2/ce++9cfXVV8dLXvKSuPTSS+Poo4/Ols9dd93VU+EkAAAAAAAAAAAAzJc/292H7r///viN3/iNtoWT7dx6661xwQUXxG233ZYtpx//+MfZYgMAAAAAAAAAAMDP88uTfWbnzp3xu7/7u/HEE0/s21atVuOVr3xlvPzlL48NGzbE008/Hf/6r/8a3/zmN6Ner0fEM39W+z3veU/8wz/8Q2zatCl5Xv/xH//RcvujH/1obN68eUExTjzxxJQpAQAAAAAAAAAAcJBSPNlnPv7xj8ejjz667/bGjRvjL//yL+OFL3xhy+Muuuii+MEPfhAXX3xxPPbYYxHxTOHlhz/84fi7v/u75Hn9/C9PViqVuPDCC2NkZCT56wAAAAAAAAAAAIA/291H7rjjjrj++uv33R4cHIwrrrhiVuHkT5166qnx+c9/Pg455JB922699da4+eabk+Y1PT0d999//77bW7ZsUTgJAAAAAAAAAABANoon+8gXvvCFltu/9Vu/Fc973vPmfM5xxx0X73//+1u2fe5zn0ua17333hu1Wm3f7ZNPPjlpfAAAAAAAAAAAAPh5iif7xOjoaHzjG99o2famN71pXs997WtfG+vXr993+/bbb4/HH388WW4//ye7IyKe+9znJosNAAAAAAAAAAAAMw0sdQIsjm9/+9uzft1x06ZN83ru4OBg/Mqv/Epcd911ERFRlmV87Wtfi7e97W1Jcrvrrv+fvXuPkqyqD8X/PV39nu7p6XnAADPgAPKYqIBE1IhR0OiN92qQiBrj6xevytKwjK488HLvzQ2+iObGaFZyI0aj5iYxigpeNepV9CpGwMgbEdFBHgMD8+iefkw/q87vDzLjVFdVd1fXPgxMfT5rzVpzdp361q7z2Gfvfb596o6qZU+efBRUKg3K8pXH7CggF7tcp56tyFv4fg1jpg8ZeeLvHVHMdy9gn2ddXUt+RtbVVf8YbiBvYt1lm5pKH7MjSx9zfm7pdZpVxPacS398Vu4eSRtwbJFtOVdn343PRUwtvv0rD+xrsVK18h3pj83s6P7kMWfvmkges6Mz/TlU2tCdPOaOb+1NHnPjGX3LW7FUqi2bno+Ymq8t31enrFVdBfQVVnctvU6zpsrJQ+b3TSeNl60uYBi38Bqcwkr7NHmd8zmvPPKviOtQV2/98iL6t4ebjo7G/cwitl+9z1qsDstRxDFVSdu3yfcV0GeYmUkeM+tOf93MRxP36SIiCqhnTB/UB+us00bPTkfMN3ltLeIU2jObPGZldwHH0jHp+599XWmvxRERU9vTf/fpybR9sI5Fxpn1XuvoyBZ9T0TEQAEH5xd/tiN5zFMj/bm+N9JfM8Ym07fxTxlclTxmX1edsUSL7r5reW1817q+OG5B2b3bRmNud+3497jj1ySoWbXOvgLmv25PPy4sYvxaOmUoabz8wfRtcQykH8fkgys83rtq+4D5+GzE3FxkPQ3GHK1Yv75+eb2xPwdkQ10RWf3zZfNlx6b/vNW1/ZrOZ21ovm94kHxn+vm/fGQwabzKPQWMYUbS9706jk/7vYuy5/PpHmiz39RI9fxXx5q85nr78G3TURldftt91HAB/a970o9h1pw+kDxm7E1/jbvmJw8ljzn4wfT76Ec3PZw03pnnHLXo69lQRyycDR+7fy7yvY2PlaHYnaBmC+pRwPE+/630+7zznCOTx8wG0s9Nz/2f7cljFtF+DJ+zbvkr99UeI2ueNRwxVV2vIub6K9vGk8fcfNnJyWPmDxVwbT/1iKTxhs8poE8zkf7+29SNKxtjZoM90bOgbPrWscjHZ+KILcu899iEjqMXGRf1LKzJo8vdoDZxww03VC2feeaZTb3/qU99atXy9ddf33Kd9lv45MmlfkocAAAAAAAAAAAAWuHJk23iJz/5SdXySSed1NT7TzzxxKrlH//4xy3XKSKiUqnEnXfeeWB5w4YNsW7dLzL2Z2Zm4p577omxsbHo7++P9evXxxFHpM0WBwAAAAAAAAAAoL1InmwT9957b9Xyscc29/MDmzZtqlresWNHzM7ORneLP3f185//PPYd9BNkp556akxPT8cXv/jFuPLKK+OWW26p+rnxiIjNmzfHOeecE7/zO78TRx21+KO7AQAAAAAAAAAAYCHJk21i586dVcvNPr1x3bp1kWVZ5HkeEY88MXL37t0tJy/ecccdVcsjIyPxwhe+MHbs2NHwPffdd1986lOfik9/+tPx5je/Od761rdGlmUt1ePQeyzUv9U6FPAdUu/XIo6Tx03MjgJiFlDPjo7FlxuVLRqztPL6NFIqIGZHAduzsyt9zEolfcy8gJg9iWP25Y1f663zhwT1yhaqFLDPBwrYlv2t/aFEPdlgT/KYUSpge65K/9071vQmjxkDy9yeq+qsV68sIqK/gH3UV0Cb1FtAzO4CrpmpLxvdBQzjSkXEXOEXr/e+/WVF9Gka1bOIPsRh5zEyjmmlGo+H/nyz/d9lxSyiP1tAPTsfJ+3dwfWsV+eVfI+uAvp1y+mjNqt/Pn3MvgL20apF+vMrlA2mbz9Kw2nr2dnT+Fwv1emX1itbqGesv6U61dMf6Y+jnkjfT+yN9OflXKQ/NrsG0u+jykz6fdTVv7x91LW2b1llEcWMt7LVBbSdAwVchwsYv0ZP4pj1d1trihgTdq0wZr337S8rok/TqO9VRJ/scNLfHVFu0J6vdN8vJlXf8GDdBdSzr4A2JLXZAmIW0T9epP+1UtlQ+utbR16uXh6qnQusV7aoRvOMLciGChhvFFHPwfR9ut716ft0RfSVuhPXc6njvd69hSXvNwwU0G4W0feaK2COqqeI+fMC+jXLvcfRhGyogD5RM9fL5d47LGIfFdDOFdJPSn0vNyL9vF8RfaQC9vlK77tmdc69/WVZXsC5vlg/toi2pQlZvj8bjsPW1NRUnH766VVl11xzTWzYsKGpOGeccUbVUyKvuuqqOOWUU1qq2wc+8IH427/925ZinHvuufGhD32o5adgAgAAAAAAAAAA0B78CVobmJqaqinr72/+r0AWvufgRMqVWvjkyf3OPvvs+Iu/+Iv4xje+Ebfeemtce+218Y//+I/xhje8oaYeV199dfy3//bfWq4LAAAAAAAAAAAA7cHPdreBubm5mrKuFTxWt7Tg5+zm51t/VPqPfvSjquU1a9bEe97znnj+859fVd7d3R1nnnlmnHnmmfG6170uLrroorj55psPvH7llVfGM5/5zDjvvPNarhMAAAAAAAAAAACHN0+ebAPlcrmmrKOj+V2/MHmyUqmsuE4RERMTE3HyySfHpk2borOzM3p6euLyyy+vSZxc6Mgjj4yPf/zjcfzxx1eVf/jDH47Z2dmW6gQAAAAAAAAAAMDhz5Mn20BnZ+1uLpfLdcsXs/AJlt3d3S3Va2BgID75yU8eqM/4+HisWbNm2e+99NJL49WvfvWBsu3bt8f3v//9eM5zntNSvQ6FfGoiIs8bvNigvKUPjMgGVlcXTYw98sJKrSAhd0l1En9bi9f601JrlApoRufSJwHnc4m3ZURER5Y+5sIn2nZ0RMeRR1cVVR56IKKJ5O18poCk6ump9DGL2J5jY+ljtpg4X08+V0DMB2bSxtu9SLze7uh+fXXi/+wnvhExvfixl0/WPhm6VfnD08ljZhv7ksec2zaZPGZWSn8Olda31tep5+F/HU8e84gn9y5vxVU90fvfq5/SPX3plRGTtcd3tm6ZMZuQrW7+yedLGkwfM+suoE9TWnqVZmSD6fsf2cah5DGjc4VfvFSK0klbq4rKP/nRI33DSgF9496eBvXojNITTkj/eYeRfN94MeOVhh+YRzZQfazmE3ujpXFMAX2bmE/b986n0vc9i+gjZ93p2+R8187kMaMr/fU9pvf94v+dnVE67ZerXi7f/G+1Y50l5GPp91HlvvTHUuW+fUuv1KRsIP11Lt+VdnwQETH9YPp9tPOnaffR1L7GY47Smt74pa+/vqrs9hd8Isqji48p7vj5SIqqVbk30s/XnBTp26SxSH/NGG/lGtbA1oH+5DFnZtLvo/7+5e2jrrV98Yzr3lxVdu3TPxJze2rPl03Hpe/Trt6U/rrRuybxACGKGb+WTly99EpNKOLaFqvSn+sdRzcYHyylqys6z35mVdH8Nd+PmJuLbP1ggpotMNTgeC+VonTMcek/7zAx/aGvRIzXv9Z1nnNE8s/LBvui9JQzq8rKt/yw6b7hwfLd6ef/yj9OP1+VWr43fRvScdxA8pjZYPo2fs+nH0gec3q0etzaMdQTm//5t6rK7nvFP0Vl7/L70Ueenfa6ERGx97b088hDT1qVPObMvenPy89deXfymM976jHJY/7ktl1J4z3l7CMXfT0b7IkjPvryqrKH3/iZyMcbH6urNxUwh7wmfd8rH03fznWevSF5zGxV+jH73NceTB5z7P709+DWPGt4+Sv3dkfPG19QVTTz0a/X3Dvs2Jz+Hlz5tr3JYxbRT8p3pp+r6Xhi2mN+/up7k8aLKGaf7/vKQyt6XzbQE6v//Derysbe8bnIJ2Zieix9fsm6Nxzb+MWe7uj81Wc2fr1gkifbQG9v7c3v2dnZ6OlpbhIgdfLkwUql0rITJ/d72tOeFieffHLceeedB8q++93vPi6TJx+52ddosvTRuhm5WB2W+/7EUt+ILSQR9fESs4CbwnkByX7LuXldqTR3k7tSQOJo6sTeiGK253z6gUEhCQYFJE9G6oSAqSbjTc8u/Z5FbmSu2ET6gUbsSz/ht9hExkplnQWcQ33p2+PKEjejV2Sihe8+OVP/uOkrYHt2FXB9KyJmXkTyZOLt2VPA9y7ij0xSfu1y+d+TJwu4ZpQbDIuzAs6Dw06rY4iVfF6dslb6z4+H/nwRx30RfeRK+j5DKzeVGyriD/+Wquf8fPPfZa6AvuISf9yzIvsK6H+WCjjm6/yxSKuK6NOWR9L2Fecnm9vn5dHpmK+TkHawmV3pE2b3RfrjfSbS38ycLiB5cqqAmHMFnJaz0+nb465VK99Hc3umYm537bFaGVph0tsi8tUFtElNPtRgWQoYvx7yuZXlKBXwvecS9hXm5h75V0SfplEf0ThmcftmG/cLiuh/zddJ2FlJ3/BgswXUs4jzM7UC+nMxXcAfVnUX8IdAe9PPJ1ZGlx4TVvbONDeXOVnAdbiA7x6TBeyjAsYG0wX0u4uYm55NXM+V7PN8fGbx960poD9XxLz0RAFt8UwB14xCvnsBY/YCku5bvl7Wu3c4U8DYoIhrZhH9pCKOz9T3OYroIxWwz1Neh/KJmX9vVwsYwyzWj80O7Q9n+9nuNjA4OFjzk9sTExNNx5mcrP7rntWr0/8FUbOe8YxnVC3/9Kc/PUQ1AQAAAAAAAAAA4PFC8mQbyLIshoerHyE8MtLcT+yMjY3VPHly/fr1LdetVUcfXf1zvrt37z5ENQEAAAAAAAAAAODxQvJkm9i8eXPV8kMPNfeb9wvXHxoaiv7+/pbr1aqFdZgv4ucvAAAAAAAAAAAAOKxInmwTW7ZsqVq+++67m3r/PffcU7V84okntlynFEZHR6uW16xZc4hqAgAAAAAAAAAAwONF56GuAI+OJz/5yfH5z3/+wPLtt9/e1PtvvfXWquWtW7e2XKePf/zjceedd8bu3btjz5498fKXvzxe+cpXNhVjYRLowidsAgAAAAAAAAAAwEKSJ9vE05/+9Krl6667LvI8jyzLlvX+f/3Xf61a/pVf+ZWW63TjjTfG17/+9QPL3/3ud5tKnqxUKnHddddVlT3taU9ruV4AAAAAAAAAAAAc3vxsd5s44YQT4glPeMKB5Z07d8Y111yzrPdu27at6smTq1atimc84xkt1+kpT3lK1fJ3vvOdGBkZWfb7v/GNb8T27dsPLHd1dcVzn/vclusFAAAAAAAAAADA4U3yZBu54IILqpY/+MEPxuzs7JLv+8AHPhB5nh9YfslLXhL9/f0t1+fFL35xdHT84hCcnZ2Nv/qrv1rWe0dHR+O9731vTbwNGza0XC8AAAAAAAAAAAAOb5In28grX/nKGB4ePrB8++23xzvf+c4ol8sN3/Nnf/ZncfXVVx9Y7unpiTe+8Y0N1//85z8fJ598ctW/hT+tvd/GjRvjxS9+cVXZ//7f/zuuuOKKRb/Hnj174k1velM8+OCDB8oGBwfjbW9726LvAwAAAAAAAAAAgAjJk21lYGAg/vAP/7Cq7Etf+lL89m//dtx0001V5T/96U/jLW95S3z0ox+tKn/rW98axxxzTLI6XXzxxbF27doDy3mexyWXXBIXX3xxbNu2rWrdiYmJ+MxnPhMveclL4uabbz5QnmVZ/I//8T9i48aNyeoFAAAAAAAAAADA4avzUFeAR9f5558fd9xxR3zqU586UHbjjTfGK17xitiwYUMceeSRMTIyEtu3b6957wte8IJ405velLQ+a9eujY997GPx2te+NsbHxw+Uf+ELX4gvfOELcdRRR8WGDRtiYmIi7rvvvpibm6t6f5Zlcemll8Z/+k//KWm9Hm1Z1hGR5XVfy+fni/jE9CFn55Zep1kdifO7swK+d15JH3JmNnnM6O5KHjIf3Zs8ZtbXlzxmzBWwPUsF/O3BbPp65rtn0sccLeBcX1VKH7M77fme711k/8zVflY+Nhexr4Bjbynpm6TY/e2R5DGHT+hOHnP8gfTHZt98/WtzK4aPT//dK3PLrGed9Spzed3yjpnGTyZfqfy+yeQxOzavSh4z/V6P5O1cdlRP0ngREfmDo8ljxsAKh5tdtf2WfO9YxNxcZP29LVaqjr7+Bi/4W8OW5AWcTZU6F7pKpbXPmi+gvatXz1Z0p792xCK/QLFS+cT40is1a3jt0us0Kb+3dr6jVdmqg/ZRvXFnljU/Hi2gXxcF9G06jh9MHjPfMZU8Znks/dzKz36Q/tq5dl2ja9LKXH/rnoav9Yz1x1MWlN3x85GY2bVv0Zi7In37UcTI6ft5+uNotoATc2uWvm9zx/ji+3Al+gqYS3z25vXLWq80XLuNNh4zGOX+2j5jeT79PtqzbTp5zNVT6a/tw5vSz6mVfzKWNF7piauTxouIiKH0t7jy6RUeR3X6gPlMJWK2ElkRc/wjDeZruroiNqf/uMNFNtQdUWqwjyfTX+N+/M5b4pe+//TqsrfeEuWRlV+ntv7Pra1Wq0ZlW9q+/N570l/d170+/YGdHZl+fqUIG/4k/T6//bU/rFouZbVzVxN756I8uvx9uen04aVXatK6AmJOXvng0is1qfcJ6ft0v35W+mN+eEv6Y/7M4aOSxhs+Z93iK/TV9qPWPGs4YqrxsTryrd2tVqtG7970/c6eofRzkUW0c7v+9KfJY649P+1xFBGx7pz0/cTr3nbLstftXNcXz7iouuzGv7k75ndX9wGe9o4TU1StcHOfvvdQV2F5vvXQoa7BkrLh9OPBvjOGVvjG2rr0Pnl1xNRsDJyV/hqc9S/y3bsKmANvgrtBbeiSSy6JCy+8MDoWJKbt3LkzbrvttrqJk7/5m78ZH/zgByMrIPls69at8c///M9x6qmn1rz24IMPxi233BLbtm2rSZzcsGFDfOhDH4qXv/zlyesEAAAAAAAAAADA4UvyZJt6+9vfHp/73OfiOc95TnTVebLLfmeccUZcfvnl8d73vjc6O4t7UOkJJ5wQn/nMZ+Ld7353nHzyyYuue+yxx8aFF14YX/3qV+OFL3xhYXUCAAAAAAAAAADg8ORnu9vY1q1b4/LLL4/x8fH4wQ9+EA8//HCMjo5Gb29vbNy4MU4//fTYuHFjUzHPP//8OP/881dUn+7u7rjgggviggsuiIcffjhuuumm2LlzZ4yPj8eqVati/fr1ccIJJ8RJJ520ovgAAAAAAAAAAAAQIXmSiBgcHIxzzz33UFejyhFHHBEveMELDnU1AAAAAAAAAAAAOAz52W4AAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANpK56GuABCR55WIPK/7WtaZ/jTN58vJY0ZnKX3MSv1t8pjSYL+1pFTEtqykj1nAPs9HR6sLSqWIozZVr7N3b0S5iWM4L+C7ZwX87UF5Pn3MUpY+ZncB372IU31f2v2eDXU3frGvq3b91V0RXYt/sfk79rZarRrjD8wlj7lmyyLffYXmp9Pv9MmH059DlQJOy9HtM8ljrj+hd1nrZbOd0b+gbGpPOfKx2i/aMZq+r9C/roChR1/6a1HH5r7kMfPRtOdmfv900ngREdlRPeljdq9wn9fpY2RdpYgsj+go4DrUqL9dRJ/scJMt0tcoov9Zrw+WdURLnYlSAR2RIvp1iWVFHN+rBpKHzCcnksfMNgwnj5nvPWgcU+eQyufmI+abuxbks+nPoWw4fb+usi39Poq59N99anf683LTKauTx/z+V+9LGm/NIud6d53XhkqlmF2ifZgpp283d0cB14wCFDF0vTVP369bl9WOUVt1dKS/btx4645lrdezvj+euKDs1h89HDO79tWse/zmNQlqVu2oY9Nf3zp70/dp88n07Vy2Lu0YofLz9NeMjlPTt8XZMcsbY9forDM/tKYrYj4in0k/F5D1NqhnyW2/xWRD3RFd9a87177hhuSfd9YHTq8pe+JbjouYnk3+WY8lP71xJHnMqZH0c1UbT08/B1REn7vrpccmj3nqn5xUXdBT24ad9EfHR8wsfxxTuaf22tyqIrbnyN3p2+Rr/3lb8pjnX3ZG8piVbePJY95741TSeFMjDy/6esea3jjuouqyHV/eFZXRxv3q4S3p5z3vvTH9tjz2jMHkMWc+8vPkMde9fnPymPPfeih5zCKced6Ry195oPa4O+3XN0RMVLdBUzemv1fYM5R+vFE6c13ymEXIVqftC2cD6fvW5dvHksfsOG7h3b9lqnP979jcFzHTGeXr0/fnHvh84za+tGFVHPt/npb8M5fLkycBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrnYe6AsCjL+ssLausGfn8fEvvrx+0kjhgljheRD47kzxm1tOdPGY+N5c8ZtbTmzxmdC347h21Of7Z0FBEZfnHRj460mqtHhX5xL70Qct58pD5yGzymFl3a+1PPfl42mN+5ubRhq9lgz2x8KydvX1v5OOLtw8zY+UENau2b2f6tnhuMnVbHNE9mP7vd2am0m/P2J0+5IPbx5LH7F+9vC59x1zt8TG1ez4qo7XlQ8emvxYVccx33bAneczSw/3JY3Y8cTBtwEr69j1K6ftJsdK+QqnOMd3dG1Gar+0rpFBudGwWsE1oD4lP0ay3J23AKGj8VoSp9H3kfHo6ecyYPqi/1FWn7zRTiZhrsk9VQFOf70nfl+84blXymJW7J5LHHPylgeQxR36Yvl83k3jH7yg3Hhf1lbtqyu4pz8VUefHjZFMB08lfzSeTxzw60redw1ntNmvVxkg/Hh6P9GO49BEjppd5vOd11puOvO75sm8yfTs3M5l+HNMzlH6/V/amn/vr3JR2bJR3FtC/LmIcM7/Ctjir875y/ki8IurZqJ9UxJjpMNKxpS9itv45+MwvPiv55+V7a/vdHRt7ImZbmBtblb4NyYbTHjdP/9BTksaLiMgG0vdBKg+kHxtUto0nj/nVX/1m8phnnnNU1XI21BtHnle9zp5PPxD53uVvo6mR9NfMTW9/QvKYfcPpz6EiTN24N3nMVecdtfRKTTr5+LTznkt972ywtr1ac2x35MMFDKIXcdJLNySPWTp9OHnMyj3p51U6tiSe645ikpYmr3wwecz+c5vY2t2L7QAAIABJREFU7721x2rptLUR0wvGLFfvbLFWtUpnrkseswgdT0w/p1S+Pm1eQBHX9SL2z/y3HlrZGwd6omvB9X/+mp0REzOF1HPj6X2NX1xTQO5JEzx5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAtiJ5EgAAAAAAAAAAAGgrkicBAAAAAAAAAACAttJ5qCsARESeP/Kv3kvlcgEfmEVW8zmViKhfh+WFXBgxgY7E+d2zc2njRRTyvfOp6eQxoyt9c59PTiaPWbM9O0q1nzs9E1Fp4rzYt6/FStXRzOcv11QBMVcXcJl/uIC/u6jdzS3Ld88kjde9dXXjF/u6a4q6ThqMmOpZNGbX9vTH5txkJXnMu28fTR5zdE/6di6vtHANa2C0gOvGqcevTR5z6LjaY7CebLCrpmz1pq7Ih2qPm6k96duk1ZtqP79VpeNWJY8ZM+m/e/kHu5PGK/3K+qTxIiLysfnkMSMfX9n7umqPlXzvRMTcXGRHpD+HYtfDDerRHbHlhPSfdzgplxuOY6Kc/poUHXX63nmlcR2WFbOAvk29eragkPFBEf3ZIgwNJw+Z9RawPfce1F/qrO3cZr2liM4mz4ly+r5N+ogR+d70/aV9t63w+rGI0Xtmk8fMCziNhlctr1+3XEf29DV8rWu49rVfGl4Vc5XF28Xr9oy1XK+FTs8GksccKuCZAVfne5PH3BeN99FK7Y30/bonZenruT2W1y7211lvR1RiX9SehEdMpG+TZgsYH+zbmX4fDWxMP95K3cZn6xefJ1mRuQKubiu9BnfUeV85jyjnkQ2kP4ei1KCdK2Ae+LCyr9Jw3J9PTiX/uMmrHo6hX1tQ9tntkY+vfO5y4NWbW6xVrc6zNySNV3mggD53AX78P7clj3nSS9Nuy4iI5739icljdr5wY3VBnbmYdRdtiZhb/rXgvovvbLVaNa572y3JYz7tHScmj7n6Ww8mj/m9L9yXPOa5QwX0kT9xT9J4L/zqsxdfoc6xuup1xy56rO7605+2Wq0aPSPpx5gf+K3/lzzmO/7oKcljzn48/fac2VvAPGIB9l29c9nrZoM90f2a6rKp7+6q6QP8yz+nvxadM5p+vLH+d7ckj1m5K32uQcdx/UnjdZ53atJ4ERGVG9O2mxErP4eySqVmVmJ2rBL5eCWmP5/+2rbm9EXmf1anH9M2w5MnAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK5InAQAAAAAAAAAAgLYieRIAAAAAAAAAAABoK52HugJARGRZ49fy/NGrx+GulD5ffJE9t3K96ZvmfGYmecysqyt5zHxiorqgVKpdaWY6olxeftC+vtYqVc/MdPqY5fQx83unksfsODb99swfKGB7zqdtO/d8c3fD1zqGeuPIi6rLRr87EpW9i3+v2clKiqpVqST+3hER43vTtx9bThhOHvPOH+1MHjP9HirGnp8ubx91rMli9YKykbtnozJa+/6u/vTXzIduTt8mbSzgT8E6jltVQMyBtAEnmrgOLlN2Qk/ymDG3wrOoXv83zx/5Nz7WWp3qGRyqX95puLyk/N//1VNERzmrc9JnHYtUYmn5bAH95I46fdgW5OUCrkilAo7vZvroyzU/lz5mEWPsg9uLzjr7v7MUTR+n3en3e3ZkAW19Of32LKIfsnpTd/KYc5Ppj/m16/qTxpuZnm/4WmedY7Wzs1T/GD7I1lL64+i6AsbDY3n69uPZ2cLedOt+kqf/7jtiNnnM9Xn6OaAnZ8s7lnqi9pjcFKWYqXNrY3h9+jmLH9+Rfqz59OduSh4zL6A9jq60HbpssID+RxGPB5lZ6TimzvtmK4/8Kzduj1esYXtcyIz1YaPy0EzEvgLmIhvoe/b6+mXT6dvqVsxfk7atm/55+m08PZr+PHricxvMB7Sg4/jB5DEr28aTx5z4yM+rlrPBnhh6VvU6k5+8N/Lx5Y+Zjz7/iAQ1q9b3rbTj66J8cWY0ecw/feWTk8fccVP6+dkzzzkqabyv/YfvLvp69/r++LX7z64q+9Yrro3ZXfsavid1HYvy+x951tIrNanj6N7kMcu3p5+f7R9OP2bf/rH708f8+fK/e+e6vnjGgrI7vrc75ndXn4fnvPDYBDWr1rsmfb87dV8hIqLrpem/e+XutNfM+SvvSBovIiIfST8f3XfGCvs0fbXnXu+TV0dMzcbAWenv5V77yh80fK1740Cc9c7kH7lsnjwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBbkTwJAAAAAAAAAAAAtBXJkwAAAAAAAAAAAEBb6TzUFQAiIs8f+cfjUPr9ls/MJY8ZlQLqObUveczo7q5eLpXqr1MuLz/m5ERrdapnLv0+yvdVkseMgfSX+cqdBWzPjix5yHwu7fYcPrWv8YuremqKhp7YGzG5+PfafVv6c2h+OnnIWLN2ke++QiMjU8ljrhroXnqlJu0YT7+Pbt+2J3nMJ84MLWu9zqlyHLegbOeDkzG/p3Z/dHal/xurdRv6k8ccuz99ezzUlf74TK3jqcPpg86mvw5lfXWu48vRWfu+rKcUUapE9K9qsVZ1NOrTdHWl/6zDTZ5H5A2Onc4Cphvq9QHzSmtjqUr6Yz8vz6cN+GhtyxblBfSRY6KAvmdvb/KQ+fTsLxa6ao/HfGau+THEfPoxXOXnk8ljZutq+8Kt6j59TfKY41/ZmTxm9+AKr3OLGBhM26cdWtN4/5SGa8+FDUf0R3mJfuADD6c/L4+M9NvywQLma9YW8ByCE7P0bdJxkf683FTAbYSxWN41uLfOeuNRiek65d98IP146xVP2ZQ85sxY+utwqSf93EpkaWPmBVzbYnQmecjsiBWeQ1112rLefx/HFKFRf67DM1MWkw2WGvavJ698MPnn9f5S7ZxN5Z6JiMmVH7sdR6e/dqTWd8by5qqa0TuS/nwfvSl9v2bN8HjymP/2d/clj3nWu7ZWF/TW9kP7nr0+4uCxzhI+9+brWq3Wo+IZI+mvwxc//aTkMadHE88tPE6c+/qFM9gLDNRep89+5aaIicZtxI6b0s/3rjk9/f2Iv33z95PHfMNlZyaP+cDnH04e8+jzj0ge85g3pO/HHz2y/DYx+mqPkTMu3BIxVR0jL+D6Nv3z9DcLS6envyeR72tiey5Tlvje+NSNe5PGi4gYePXm5DFXrLv2HkjplMGI2bmY/9qO5B/3jI89tfGLPennMpphFAUAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFuRPAkAAAAAAAAAAAC0FcmTAAAAAAAAAAAAQFvpPNQVACIiyxq/Nl9O/3mlUvqYlUr6mHnieItt5xXK89SVLEY+MZE8ZtbXnzxmPrmgnpU6x+rcbES5ifOi4/HxdwIdx/Qlj5mPziaPGUf3Jg+ZPzyTPGbMpG0750bnG76WlWuP0/mx+cjHG78nIqIy13K1apRn0rdJx5wwmDzmtttHksc8bsua5DE/ePMDyWO+MVufPGaptLx2rt56pVJH5HXKV6/uableC83Ppe8r9K5J36eZ3bv4ubsSPZvTXovKN+9NGi8iouOkgeQxY2aF+7y7tigfm4uYnYusq4BrRv+q+uWdhstL6uqMaNQfnivgQldPnjeuwzJk3XUOuFYlHnfkU1NJ40VEIeO3rCf9tSOO3Jg8ZM2YI4Fs9UH9pVJt25ENDESUm7u+5DvSt/Wl09P3l/Lt08ljRgFjo7616dv03k3pj/nd1+xKGm/VYOM2rrOndpvs2zcf85OLt9+jkb79mCgg5vosfT+xiCvbvgK++6n1OlMtKmJmZbmtXL0tVGlQflop/XmZdaSfTxzanH4fzY6nP5b6VncljZcNFtC/LmD/xMQKx4TddeoyOR8xOx/RU8BZtOHI+uVFzP0fRvLxcsS++vt45O70483Nv7Oupqzz6esiZh+l8dIyZcNp28+O49LfOyiPpN8/P/zWg8ljnnvccclj7h1N3+eubBuvLlhVewxU7pmImFz+dv/1VxzfarVq9D4h/f2I0unDyWO++pVfSR7zvGwoeczNR6Sf6//763YkjfeXl5+7+Aq9tf2o0mlrI6Yb3w8b//a2VqtV41/+9LbkMf+/N52UPObIt3Ynjzm8JX2fu6ZNSmDHTQXMpzWhY01vHHdRddmOL++KyoI2vW84fd9tw59sTR6zCHNfuPdQV2FJq8476lBXYVmyDSucS6tzDyRb1xsx3xmdZ29osVa1yrePNX5xoDc6n5/8I5ft8ZFRAgAAAAAAAAAAAJCI5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANqK5EkAAAAAAAAAAACgrUieBAAAAAAAAAAAANpK56H40Isuuije9a53xZo1aw7Fx3OQ2267La688sq44YYbYvv27TExMRHd3d1xzDHHxGmnnRYvetGL4lnPetajWqcdO3bEFVdcEddff3387Gc/i71790apVIr169fH1q1b43nPe1686EUviu7u7ke1XgAAAAAAAAAAABweDkny5P/9v/83brzxxnjXu94V55xzzqGoQtt7+OGH44//+I/j6quvrnltfn4+7rrrrrjrrrviiiuuiLPOOisuu+yyOOaYYwqt0+zsbHz4wx+Ov/u7v4v5+fmq1+bm5uL++++P+++/P77+9a/Hhz/84bjsssvirLPOKrROAAAAAAAAAAAAHH4O2c9279q1K97ylrfEJZdcEpOTk4eqGm3pZz/7WVxwwQV1Eyfruf766+MlL3lJ3HDDDYXVaXJyMv7zf/7P8dGPfrQmcbKe7du3x+te97r41Kc+VVidAAAAAAAAAAAAODwdkidPRkRkWRZ5nsfnP//5uO666+Kyyy6LX/7lXz5U1WkbIyMj8cY3vjF27NhxoKxUKsWv/dqvxbOf/exYv3597Nq1K77zne/EN7/5zQOJjBMTE/GWt7wlPvvZz8bmzZuT1inP8/j93//9uO6666rKzzjjjHjRi14UmzZtisnJybjpppvii1/8YoyNjUVERKVSife9731x9NFHx/Of//ykdQIAAAAAAAAAAODwdciSJyN+kUB5//33x2tf+9p43eteF29/+9uju7v7UFbrsHbppZfG9u3bDyxv2LAh/uqv/ipOO+20qvVe9rKXxS233BJve9vb4oEHHoiIRxIv/8t/+S/x93//90nr9OlPf7rqKZilUikuvfTSeNnLXla13otf/OK48MIL4x3veEdcf/31EfFIAuU73/nOeNrTnhZDQ0NJ6wUAAAAAAAAAAMDh6ZAkT27dujV+9KMfRZZlkWVZRDySBPeJT3wirrnmmnj/+98fp5566qGo2mHtpptuiq985SsHlru6uuLyyy+PrVu31l3/KU95Snz84x+PV77ylTE6OhoRj/yE97e//e147nOfm6ROk5OT8aEPfaiq7JJLLqlJnNxvw4YNcfnll8drX/vauOWWWyIiYmxsLP7mb/4m/uiP/ihJnR5zOrL0MfO8QVmd8uXq6Fj5exupVBLHSxsuIupvy9aDpg/Z1ZU+ZmcBl5AsW3x5f1m98kZKBdRz1UD6mJMT6WMWcHxmpfRtUj4xnzxmtrEvabyu8r7GLw6Uaoo6B0oRUVtetO7B9G3xN759X/KYpxyT/g8eHtw+njzmOVn6eo5GOXnMtZOzy1qvq7f2mJzaNxtzdd4/PjbTcr0WOnrz6uQxi9DzpAL+ICfxqZn1pG9fsu4C+nK9K4zZVed9PR2P9DeL6HuVG1yHmulvtKtKpfE+KWJfddX5Q8vOrmip/zydvr3L88QDj1IBfYpyAYOj1OO3iMinppLHLOTcPngf1dtfpVI0e5xmQ+nHcPneueQxi5A/lP687Dsz/fV911d3JY+Zur/0u/92a8PXVq8fiE8vKHvPtm0xtmvxsen7TjopQc2qlQoYZ37rxw8lj3lElr49HszTf/dV3ennQcZm07cfT+zrXdZ6XXXWO76vN+b6aq87q4eXF7MZ/WvTb88ixu49Jw8mj5mPpd3v2ZHp90+sKqCfNLTCfd5V532rOyPm8og1w63VqZ6JBvMgnQXMAx9Gpr63O/KR+vN8x374yck/L5+r0wfsL0V0rbzvXLlrsoUa1ZcNP/YfatP10mOTxzzzpvRz8kVsy3Nff1zymNlwT3VBX229s6HuiCa+TgGtfIwWsI/WJI8Y8Yk3n5k85u995ObkMd+6ZkPymH96Ttq2s/zD3YuvMNAT8ZoF77l5T8RE43HkEVvS3i+KiHjVGScmj9l5zpHJY/70bbckj3nmeenrede39yaPWYRjz1h+nzsbrG1A1xzbHflwdd9g4NVpf/U1IqJyd/r7ZR1b0o83imjjN/xJ/dynlZr/dvq5hdJZ6ccGK65nX3eUnrog1vd2Rkwt775jszrPWyQPsIjckyYUcIdsaVdccUW84x3vqHrC5P6nUN51111xwQUXxP/6X/8rKgVMvLezT3ziE1XLr3nNaxomTu63ZcuW+IM/+IOqso985CPJ6nTVVVfFyMjIgeUnPelJ8du//duLvqevry/e//73R+mgGxL/+I//GBMTBSQeAQAAAAAAAAAAcNg5JMmTHR0d8aY3vSm+8IUvxGmnnRb5vz+RYv+TKOfn5+PDH/5wvOpVr4p77rnnUFTxsDMxMRHf+MY3qspe9apXLeu9v/EbvxHDw7/Ifr7xxhvjwQcfTFKvq666qmp5qcTJ/bZs2RLPec5zDixPT0/HN7/5zSR1AgAAAAAAAAAA4PB2SJIn9zv++OPjn/7pn+Liiy+O3t7eqiTKPM/jpptuivPOOy/+4R/+4VBW87Bw7bXXxtzcL35m49RTT43Nm5f3COCurq741V/91QPLeZ7HV7/61ZbrNDo6euCntyMeSao999xzl/3+5z3veVXL//Iv/9JynQAAAAAAAAAAADj8HdLkyYhHEiVf//rXxxe/+MU466yzqhIoIyKmpqbi3e9+d7zhDW+Ihx5K/3vy7eKGG26oWj7zzDObev9Tn1r9Q/fXX399y3W6+eabq36a/cQTT4w1a9asuE4//OEPDxw/AAAAAAAAAAAA0MghT57cb/PmzfGpT30q/viP/zj6+/sjz/MDP+Od53l873vfixe/+MXxpS996VBX9XHpJz/5SdXySSed1NT7TzzxxKrlH//4xy3X6c4772ypTscdd1x0dXUdWB4bG4v777+/5XoBAAAAAAAAAABweHvMJE/u91u/9Vvx5S9/OZ797GfXPIVybGws/uAP/iB+7/d+L0ZHRw9lNR937r333qrlY489tqn3b9q0qWp5x44dMTs7m7ROy/0Z8f1KpVIcddRRVWWSJwEAAAAAAAAAAFhK56GuQD0bN26Mj370o3HllVfGZZddFqOjowcSKPM8j6997Wvxb//2b/Ge97wnnvOc5xzi2j4+7Ny5s2r5iCOOaOr969atO/AU0IiISqUSu3fvrklefDTrFBGxYcOGqiTMx+9Pu2crfC3l57X6OQXUM0scM3W8iIisgBz0rICfn+8ooJ5FxCyVFl9uVLaYIrZnEcdSZ9fS6zSru5I+ZkcB27OvO33MUuLvPlBu/NqqnuWVLdAxlH5bZk2eHsvRs74/eczOtX3JY1Zm5pPH7MsW2e8r1FPA9bJrmduzc7h2vXplEREd5fTHZ2m4N3nMbHDpc61pRbRJqS+Z3QWc7N0FXIe6VvjFu+rUZX9ZZwFD2FKDmM32OdrSIm1aEf2lIsYxj1o9H0vxopi+fBGKOA/zArbnwe1IijFMRDHjgwJCRk8B44P5Io7P9DE7htL3bTqytOOY1esHGr42uG7VssoWKjXoP7aiVEp/XvYWMI7pztL3Qyp5+nF7dwH9up7ZueQxu5bZ76433mk0BuocSj8+KOJczwYL6NP2FzGOSXxuFjHmyAu4DtUbjyxHvbHK/rJC+jQNyo1jFpUNdEfMN5jvKWK8We8YbfVzegs431PrKeA4LGD/ZAW08cuZF27aXAFjmIXX4XrHVbPHWmvP3KkrG0o/5/t42UcD65fumzeriL588vnZgSXGbiu4H5MNpR8PZoNF3IxJ31fqXJd+n8dA+nOoiGOzCM0c71md7VSvrJA+ck8R97EfJ9fh1PUs4n7RSscbi1lpPVNc/5ux2Fil49COY7I8L2J0mc6ePXvive99b3zpS1+qSqCMeOSJlBdccEFcfPHF0d+ffkLscDE1NRWnn356Vdk111wTGzZsaCrOGWecEfv27TuwfNVVV8Upp5yy4nq97GUvi1tvvfXA8p//+Z/Hf/yP/7GpGG9+85vj29/+9oHlSy65JF772teuuE4AAAAAAAAAAAAc/h6TT5482Nq1a+PP/uzP4rzzzotLL7007r333qokys9+9rPxne98p+mfod4vy7L45Cc/mbLKjzlTU1M1ZStJNu3v769Knjz4/ysxPT2dpE4Ha7VOAAAAAAAAAAAAHP4e88mT+5199tnx5S9/OT72sY/FRz7ykZienj7wM9I7duxY0c8153l+IBHzcDY3V/uzKl0reBRsacEjVOfnW3tU+uxs9fPbO1fwCN3UdQIAAAAAAAAAAODw13GoK9CMrq6uePOb3xyvec1rqn66e38SZTP/2km5XK4p6+hoftcvTFSsVCorrlNEbb0Wxj8UdQIAAAAAAAAAAODw97h58mRExPe///143/veF3fdddeBhMn9T45shydIrlS9JzqWy+Wmn/S48AmW3d3dSeu1kqdGLnxPq3U6VPKpiYhGSb2FJIRmkQ2srq7DxFhEtJBYXMQ5mCf+7uX02zKv82TXltVJeG5VPj2dPGZWwPmWj49VF5RKUTrh5Kqi8s/ubG4bVQpImC/ivNw3mTxkvncmecyYT789K9sK+O6zafdRvmOq8YureqL3v/5GVdH0u6+KmFx8++++vYDzsvm/Q1jS//ve9uQxn3jU6qVXatLsTPqnT9+wZyJ5zLWR/nr5hLWrlrVe53BfnPX9N1WVXf/My2N+pPb4LpfTn+sbjxlMHvPIU/uSx+zZmv74TP0na1l3+pO9Y0t/8pjRs8Iv3tUVnc94RlXR/LXXRszNRbaqJ0HFFujprV/e2Rmlk7em/7zDSD451ngcUy7gVwE6uyNbVd2W5JPj0dI4ZiZ9fylPPY4p4u8/ixjHFNBHLmIck3ycGRExe9D2LJVq2o7ynT9qfpw3mb4fko+l3+/5ztmlV2o25mT69iOfTh9zz9V7ksecGUt7fF580x0NXxtctyo++uP/XlX2xlMujfHdi4/P/usJJySp28FKpfR95Gvuejh5zGOy9FPp0wW0SYPdzf/i0FLGZ9O3H0N9y5tX6lrbF79641uqyr5zxl/H3J7acczgUPq+4uYnph8fDGxMfyx1nziQPGZ0pD03O44voI4FPCgj27DCOc/Ozuh82oJxzA+ujZifj2ztcIKaLTDfoG9hHLOosT/8QuSj9ef5Bi5Mf43L5/LofPqC4+K6R46Llaps29dqtQqXDRYwb3Fs+jZk1/t/kjzm0JOWN0/XjHw0fZ+747gF27O3O3re+IKqopmPfj1ievmfne9NX8+9t6W/d/B42Uf/9ZO3J4/5Oycemzzmpien3Z7dq5eYT1zVE31/8tKqoqk//sKi92PG7k/fl+1dnb6d63/Rkclj/vCSHyWPedqvb0gec9v3xpOwUgMRAAAgAElEQVTHLEIzx3s20BOr//w3q8rG3vG5yCeqj9VVFxyTpG4HK2Je5fFyHV7/hycljTf/vZ1J40VElJ66JnnM8g2jK3tjgut/MzpftMj+KXVG6QnHF/K5y/G4SJ7cuXNnvOc974mvfe1rdZ84yeJ6e2tvBs7OzkZPT3OTSamTJxfWa+HPeC/Hwvc8XpMnH7kb1uhYfrSO8cXqcIikPr+LaC+KuPFWRMwikv2KiLmcG4rl8mMgeTJ9gmvMF3ADu4CbG0UkT8ZUAR2wxMmTMdFkYsXkzJLvqex9fCRPzuxKPyE735P+Zt5cATfEp5a4cbwSMwU8+H0uX3nM+ZGpmNv96CRPlvvT7/d8vIAH6RfRJqWuZqWAk302/f6JFTztvqG5uUf+zRfw3TsbtB/+QG8ZFhlDFDJWrxezxXFMIWOEx8E45nAaHzSriPHWUsnC5XLzCcVFjA+KSJqdKeC6WUC/LqbSxyyiP1/Zm/b4HNvVXBLu+O7JJd9TXrvIH5atVAHJk9MFjGNmC0ienCmgTeopIHlypoD5hbm+lZ+Xc3umYq7OPp4v4A+nK3sL+OPhVQX0vfcVMC+e+twsYp6qiH7SXMLvPT//yPW3iD5No76Fccyi8onZyMcbzNm1kNDYUL251P3HxUoVdDM7qe4Cbj8XsH/yAvpzMVnAd58oYJ9PLeO6MT3b3DzZEg8TWIl23kcTu9LPTZfXpe/L5+OJt+dK5hOXuB9TRGJvXsDYIGbS95Xm68z9t6zZ+2XLUK7zgIfHolaP93xiprYfUkQfuYCHjTxursOp61nE/aIi5udS1rPZ638zFhsXHeJxzGM+efIf/uEf4i/+4i9iYmKiKnEyIiLP8zj11FPjfe97X5xyyimHspqPaYODg1Eqlap+JntiYiIGB5t7+s/kZHUnbfXq1v7qdmhoqGp5YqL5pyosrFOz3wkAAAAAAAAAAID285hNnvzZz34Wl1xySdx88811kyY7OzvjwgsvjAsvvLDpn59uN1mWxfDwcOzatetA2cjISBx11FHLjjE2Nlbz5Mn169e3VK9169ZVLY+ONv8o2d27d1ctb9iQ/jHRAAAAAAAAAAAAHF4K+J271pTL5fjrv/7reOlLX3ogcXL/T3RHPJI4uXXr1rjiiivid3/3dyVOLtPmzZurlh966KGm3r9w/aGhoejv7z+kdar3no0bN7ZUJwAAAAAAAAAAAA5/j6nkydtuuy3OP//8+Mu//MuYnZ09kDgZ8UjSZKlUiosuuig++9nP+pnuJm3ZsqVq+e67727q/ffcc0/V8oknnthynY4//viW6jQ2NhYj/z979x4uV1kfjv67ZvY1O3snOxcCIZBAMFAiKUFLWi9VUQq2P3kE9Xih9bS1UovQi+1TadWq+JwWi63HeqTnh5dH0VatCrYVq/5+x0trsWILys0WBUQQSCD3277NrPMHNWYys3dm73lfNsl8Ps+T58l6Z8133pn1rvey5rvXbN9+YLunp6cpJgAAAAAAAAAAABzqSZE8OTExEVdffXW84hWviLvvvnvau01ef/318frXvz6q1eo81/jIc8YZZzRs33nnnbN6/u23396wffrpp897ne64446G7ZNPPjn6+vo6rhcAAAAAAAAAAABHt3lPnvz3f//3eNGLXhQf+tCHYmpqqulukz09PfHbv/3b8alPfSrWrVs3z7U9cm3atKlh+5vf/GaUZdn282+66aaG7Wc84xkd1+nkk0+O5cuXH9jesmVL3HPPPW0//1//9V8btp/5zGd2XCcAAAAAAAAAAACOfvOWPLl37954+9vfHq9+9avj/vvvb3m3yfXr18dnPvOZuPTSS91tskNr166NNWvWHNh+9NFH4+tf/3pbz7333nsb7jw5NDQUP/uzP9txnYqiiHPOOaeh7LOf/Wxbz63VanHjjTc2lD3/+c/vuE4AAAAAAAAAAAAc/Xrm40X/+Z//Od761rfGI4880nCnyYjHkyZ7e3vj9a9/fbz2ta+VNJnQy172srj66qsPbL/73e+OTZs2Hfanrq+++uqGu1RecMEFsWDBgiR1eulLXxqf/OQnD2x/7GMfi5e//OWxatWqGZ933XXXxcMPP3xge+3atfEzP/MzSeo0L8ry8X+tHHR+JH295sLp6zDnmE8y9XrykEUlQw56NUPXXEv/3rPoH2jcrrQYA/oGIuq19mPu399ZnVqpzeL121TumUwfc/dU8pgxkGFc7k8fs9w8ljTe5O7pj3kRzY9N7alFOcNzIiIGl6Z/33seSX/M160cSR5z8ZLB5DG3Pro3ecxnrhxNHnNsX/pj9NjWfW3t19diSrF12/6YaPH8s58981xsLiq9yUNGkWEYLu/fkzzmxGH6g9ka/B/HJY0XEVEsHTj8Tk+Unua5ULGgN2KqyDM3ni5mjtc62sz0GeWYJ0+16EOnpjpbi1QyHOfJxHPvDJ9lMZh+LC6n0s9nY2IifcwyR9s8zFhcm2rdfmcysmju9ZlG0dPenGFWcvxZ9v70k4b6TY8lj7ns+UuSx5y8O+085INLzpz2scqi5rH/Pc97atR3zryWmtyX/vrC1Fj6a0oblg4nj1mrpa/nPTt2J4+5ZyJ9PU8aSXMt+GDLVwy1tV91tHnMWnHccNQGmueMS49PP76NrJr52vlc9Aykn3+UW9JeB4mIqJ6Vtp8rBjMMGhnOy2Jgjse81TqmvzeiWkTsyzAGL13Wutx3ajNacP4xEfvHWz5Wvy99n1ysWpg85v+6/JbkMV9w5VOTxtt2/cOH32mWlr/99OQxl/7qCclj7v1s+vf+w1vTt811o4f0dS2WXuXOiYi9rc+XVsrt6ddv13/xB8ljfu0L6T/P95x/RvKYrz91TfKYT3lu+nVmz/NWJI334Lt/MOPjlcVlrD6kbMsdY1HfMf1caPSk/s4rdojBjek/y6mvbE4e82fecErymH9xxbeSx3zDGzckj1mMpj/u//WhB9vetzo6FYe2kgdv3xu17Y3fW58YDySo2RMh/fi2+Mz086RH33pX0nijz1uaNF5ERLEkff8RsT15xJ7z1ySPOfXZ707/4MKBqF76lOSv2a55ufPkJZdcMm3i5FOf+tS4/vrr43Wve53EycRe8YpXxOjoT5IA7rzzzvijP/qjqM2QBPSud70rvvzlLx/Y7u/vj9e+9rXT7n/99dfHqaee2vDvm9/85rT7b9iwoeHntvft2xe/+Zu/Gdu2bZv2OV/5ylfiXe96V0PZZZddNu3+AAAAAAAAAAAAcLB5+9nuiGj4ie7e3t74vd/7vfi7v/u7eMpT5i+b9Gi2cOHC+MM//MOGss997nNx8cUXx7e//e2G8u9///tx6aWXxvvf//6G8te//vVx/PHHJ63Xm970phgY+Mlfu3//+9+PF7/4xfGFL3whpg66M8PWrVvjL//yL+PSSy9tKH/Ws54Vv/iLv5i0TgAAAAAAAAAAABy95uVnuw9WlmWcccYZ8Wd/9mdxyinpbxtMo4suuii++93vxnXXXXeg7NZbb42Xv/zlsXz58lixYkVs3749fvSjHzU99xd+4RfikksuSV6ntWvXxlVXXRV/8Ad/cCApcvPmzfE7v/M7MTw8HCeccELs378/HnzwwZicbPwZsDVr1jTdhRIAAAAAAAAAAABmMq/Jk729vXHZZZfFb/zGb0SlMq83wewqb3rTm2LBggVx7bXXRr1eP1D+6KOPxqOPPtryOS95yUviyiuvbPiZ9ZRe+MIXRk9PT1xxxRWxZ8+eA+W7d++Ou+66q+VzNmzYENdcc03DT5EDAAAAAAAAAADA4cxbxuKGDRvihhtuiEsuuUTi5Dz4vd/7vfjMZz4Tz3nOc6K3t3fa/TZu3BjXXntt/Omf/mn09OTNtT333HPji1/8Yrz85S+P4eHhafc74YQT4s1vfnN84hOfiOXLl2etEwAAAAAAAAAAAEefebnz5O///u/Ha17zGkmT8+z000+Pa6+9Nnbv3h3f+ta3YsuWLbFjx44YGBiIY489Ns4888w49thjZxXzoosuiosuumjOdVq2bFlceeWV8Za3vCVuueWWePDBB2Pr1q1RqVRi2bJlsX79+jjllFOy3QETAAAAAAAAAACAo9+8JE++9rWvnY+XZRrDw8NxzjnnzHc1GvT29samTZti06ZN810VAAAAAAAAAAAAjjJu/QgAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFfpme8KABFFpRoRZcvHylotxwu2Lita12HeTE7Odw0OqywzfGYT4+lj5lDP0DYP/Txbfb5l2bp8OkVnVWppYiJ9zIEMf88wUE0esuhN/4E+yXqelvpOXTj9g4N9TUW9a4ci9vfOGLN+5+5Oq/WEOH7NSPKY939vR/KY685akjzm3kenksfc/Mie5DE3/fSqtvarLBpoKnvaM1ZGfedYU3nvUPo+aWTVzOfEXNTTH6KorB1OHnOgN+3nWW5OP1colzT3ZR3rn+P7LpvHmnKyFjE5FUXvkTBqEBGzm6+1q9riEkZ1+rVUW6Yy1LPy5P871XIqw1prf/N40qmiL/3YUU5lWMccfMynW2/Ptl2Mp/88YzLDOibxGBcRETvTD/CVE4eSxyx3pP88x3fXk8YbXjnDOTTc3KcOHdsTMTTzebfzgfTvuzaZvi9ed9bS5DEfvif9XP7p1fRr7BPWLE4ec+Fx6b9GGNveXn9cWdzfVLZ4eX/UW8wLexek75PKevr2WVmZoU/ammGNkHieVFQyXKRbkP7aVyye4/WFaou6LBqNqNUiahkWr9PNt3PMw48iD7//wag9urflY8e/pr3rK7MxdcOD0fPMxrLJGx6M2DP3c/YXPnJ2h7Vq9t233p003ul/cXrSeBERkzf8MHnMYrR5jOnUwJrm62+dGr4vfR/f86zljQUt1l49m5ZGTLS/dpz6+qOdVqvJr12yLnnMz/3Pm5PH3HLf/uQxP3f3w8ljvnJxhut/3/5B0nC7D7POqhbN4+2enZNRm+F5d92wpeN6HeppOzKM7Rns/3b6937py9Oflzn64/q96b+DW3/d09rfuad5DXXa+zZETDW2namvbu60Wk0qqxckj1m/f1/ymD3PXZE85uho2s+zuj79d6SV1auTx6yu3za3J7YY/6unDT8+/o+lH9v237pz2seK0clI3xO078l/RR8AAAAAAAAAAAAgIcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFeRPAkAAAAAAAAAAAB0FcmTAAAAAAAAAAAAQFfpme8KABFlWY8oy9YPFkWGF0wfMmq19DEr1cTxMrzx8Qzve3IyfczBgfQx92d47/V643ar9l/Wm/ebSU9vZ3VqpZr+bw+KgQzHqDqVPGS5LX37LJb3pY+5eX/SeOPf3T39aw33R/8hZRPf2xPl7vEZY47tSH8OLT89fTt65Nv7ksc8+fTR5DEfmOEYzdVJGxclj/no5vTjetlml9hqv7LeurxnIH0/N7F7Fn13m6bG04/tPRPp61n0pv08K6cuTBovIiLq6T/LojrH9l5pfl5RKSKqRZR7MoxDlWnGjN4Mc52jTX2GdUw18Vw+YoaOrJP2m75fLvoOnRl0phxLO6+JiIiJDGuOvvRzunJf+nlIZ+2ljZit4pflrF+33LG3w0o1K1YsTR8zR/vM0H1EhvG93DWRPObwecckjVe/Zdv0D/Y3z096+isRkzPPW5a9IH072nnT9uQxc1h67ILkMdduWpw85t4t6a8F9I+kPzH7h9uLWQw3X9cZOb43ypHm87rI0H8MPGNZ8pjF0vRjZo7xrViedk5TLE9/LSAmZr728qTRm+GYMycrf2dNxHjrdlPuSd9/brljLFa3KKvvGJtzzONG04+bJ24cThqvdueupPGOJDu+vWe+q9CWB97x/YbtyuKBWH3ucxrKfvQX93XUVlMYPSntWBQRcdWppyaPObw4fT//hjduSB7z/7zqG8lj/s9XbEwa79hFgzPvsLC5TZz8zOGIPdMfg6dE+uv8ORSj6dvRwA/Sn8Pb78sx/9qZPOI/ffLe5DFfPJudF/bH4FmbGoom/va+iD2Nn1/vi47vvGKHqD+U/rg/dP2W5DFXJo94ZNj5un9IHnPhL5+QPObkDT9MHnPGevanH/Nnw50nAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKj3zXQEgoigqEUXZ8rGyVkv/gq1eqiyneaBNRTH3506ng+q0VK8nDhhR9FSTxyz7+pLHjBztKIfa1CEFLRpBbWp272dioqMqtTSwIHnIcvu25DGLJenbUrl9MnnMmEx9skcUi9O+94FnzXDMB5pfq3/T0oixmdveQIZ+89FPPpQ85tDy9NPFopr+vZ/xouXJY+7+Yfr+Y/Xpi5LH7BtubywqRpqP5eCynij7mssr6Ye32LM5ff+xdMNQ8pjlY+PJY1aeMpw0Xrkj/WdZrBxIHjN65th/tJpf9VQjooxiSYZ6Dk9zXlYtlw9rprGsTD++HzEm044fRYb1QZlj/ZZhzVH09SaPWU5lqOfokp9sVJr/TrlYvHj269EFGdYcm7ckj1n0pz9GxWD6vr4cPnSt2bnqmYuTx0y93ipWzPBZLuhv3n/5QMTQYfqHnvT9x9Ax6dtRfSr9OLRgafq5wZ7N6dvmotUZritlGNerA23e12Fh89ywb1E1otpcXqxM33fGvvTHKFY0n3+dKpaljxm1tMe93L4jabyIiGJoMHnMOV/nbvW8onj8X4v22qliuvVWhtc6mhQrF0dMtR5vH7jk5uSvd/zrT24qO+7ilYe9bjiT6k+PdlKllirf2Z40XqtrUB1bnb6Pr9+/L3nMgcXp3/vydz4tecw7/4+vN2xXi+a+Y8/OyajtaL+tHnNS+j55bEf6cfhj//Vg8pjP6V+YPObuWXz27VqcITXkh7fuThrv63dvnvHxgWUL4tff1Vj28evuibHH0p/PM7novDXpg96f/pgvuei45DH7/2Nr8ph9l56RPOaFa9JfW+h51iy+h2pxTav3vOMiJhrnIcUJS5r261SxJ/31n9GTMqw3MqienXaeVG5O/33Rwt9ckzxm7E1/vbP3whOTxyz3zdDP9c3vvR/deRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK4ieRIAAAAAAAAAAADoKpInAQAAAAAAAAAAgK7SM98VAOZBUbRXNt9SV6l8Er7HFore9F1zuXdf8phRrSYPWSwYaiyoNOf4F4MLIur1tmOWtfb3bdvkRPKQxcBA8pjl+FjymMWx/cljZjGQtn2WOyanf7Da4m9RqpXW5Qep37u7w1o1W3rmwuQxazO99zma3Jv+vNx+d/r2Xpsok8ccXZv+HKou7Wtvx6Hm116wZiBib/P4WHtsvNNqNVn4wlXJY5ZjteQxYzLDuNGbdg5SLMiwjMsxTRoYnNvzqi3eX/9gRM9UxNj+zurUSm/vNPVIP9c56sy0hsixvpjFHLBthxmv5ybxOVqbShsvIsvxKaY7lzpQtlgPdKroTT++l/tn7pvKen327Xcy/RysWDKaPGb0ZFi/3v9I8piV44eTx6x/d3vymMWStOdRZe0M64P+5jlkZc1QxPjMdaj/KP1Y3HPiguQxi9E258izUG5Pfy1gyZnp+87IMFes370reczKqjaP+2CLtrp2OGJ/i7XVwvSfZ7E0Q8yRI+NrmWJx4r4zx5xmKP11kCjnOFdo9byyjCjLKPrS90kx3TXkDPOno8nk398Tsav1WHbsmXNcw86getaxrcs6OR8yrItTX6esnpl+3vnN37ktecyz33F68pjb70t/Ta3/mtuTxzz11w+5TtdivD3lVcdF7G9//vO//+SOTqv1hLgj9iaPuWYi/XzhH/7rB8ljvvMVZySP+a83PJA03g/KmdfCQ2Vz//lAORV7Z3jeG85/Ssf1OtRXvvjD5DGfd96JyWP+6IMPJo953PMWJY9ZbtuZPObdNzyaPOZpJ89ifjzQfB2o/sh4xFhjv1r7x/R9fA6DG9Mf9xzKzWnH4WJF+u/0UtcxIqJYmH6NWftO+ute1Z+eYY7Ym2HNNAtWUQAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdBXJkwAAAAAAAAAAAEBXkTwJAAAAAAAAAAAAdJWe+a4AEFGWZUSULR8rqtX0r1erJ48ZZev6P6kcCXWMiLJWSx+0tzd9zBwOPUaVFjn+rcpmUCxc2EGFWisf3ZI8ZgwuSB9zz/70MScy9B9F+pCRuJ8rFs9wDvU1T6eKkZ6IgZn7nMrKDMe8nr6fq6xL/7c21e/tTh5zcMNw8phT9+xNHrPn2IHkMWOkzT5+sK+pqBjti2hRpd4ThzqsVLP6I+n7pGJJ83vqVGVt+vceA4nPo0qGjnM8Q/8+MDG355Ut6jI1ETE1lWW8LHqmWRZX0s/DjzZFpRrTrWOyzGmLFudSUYkoOhj/ssy9E19qyXHOj42lj5ljzTE2nj5mhjV2w3y21eEqpilvO2giQxnGuB3bk4cshtO3pXJf+jZfWb80ecxyR9r5Z7Fyhrlni3O2OLY/YnLmeUulP8Pf4u9LPw+p/zD9XL5y5uLkMWP3VPKQ5WPp+87KqgxzsOPaXBv1t2irK/ojxpvbYjF8ZHzdUSzMsC7MMQ4vTLzOrqVv78WiDOdlMccxuMVctRgeeXx9M5XhvfdMc8xbzZlpy87757iGnUHxju/Eik9saCh77B3fiXLn3Ocmy954SqfValI5Oe35Xvt2+jniz7wh/fuublqZPOaqkfRj0dYPP5A85tLnHTK2txhvKycMRoy3/37un0g/B9lwzKLkMZ+1ZSR5zFe9PH37vGhH+rFjLEPM1H751FUzPl4dHWwqe+kpK6O2dPprz/u3p7/287zzTkwec9llJyWP+akXfS15zAufl/68nPriI8lj7tqR/jrAtusfbnvfYtFArPiVxrLtN25umgPkaJ+jJ/Unj7lgNP13MbP5PNs1sHhn0ngLf/mEpPEi8syTes47dm5P7G1xnXRBNaK3Hj3nr++sUi3Ubvqv6R8c7I/qxuQv2TarKAAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAukrPfFcAiCiKYtrHylot/QtWqi3KKhFRpn+tJ5N6fb5r0Jairy95zHJiInnMmErfNsvJycaCSnOOfzk5OatjWVRbtPdOLVqcPubOHclDFkMDyWOWvePJY8Zk+r6nGEh83MdmaO99ze20WFCJ6Jn5b1TK+pHR59bv35s8ZmXdSPKY5Y/2JY9ZZPgzo+LEBemDjrfZJ7Y4Lx4/V1qUL2w3pbcAACAASURBVEk/FhUL0y89yvEcY1GGPin1fG5Jb9p4EVEsGEoeMwYG5/a8VmP34IKIWm3uMWdQjk8ztlUtlw+nLMuYbg2RYw5W1lr0dzOspdrSm/58ihxruMSKHO07x8DZl+H4TEwefp9ZKnoPGjdbrGGK3r7Zr0dHMpxD4xnWhbWp9DEXDicPWWSIGY88lDxksSztWrPcPsM6s7dF/9lbRMTM/WoxkuG8XNJhX95C9cQM6+Fd6dt7sTTDvDtDzHJ3hnO9ba3aR9FyDlCsWpr81ctdO5PHjAzX/mJoYfKQxWDiuXeOa7OHXktMoWeO86RWU6GyHlGvR7EgwzpmumuzlfIwPXl3q65fFLG/9Rix9MzR5K939//9QKw4pOyx+8eitn3/nGOO3ry9s0o9AXqetTx5zPpDY8ljFscemzxmfHdL8pCLz0zfx3/6lf/asN2/bEFc9OLnN5T94yU3x/hj7V9z/bVL1iWp28EqJ6efxx9/ffpj9Lef/H7ymBedtyZ5zIHF6a8FnPeFZyeNVztcHzfYPI865VXHReyffr37wSv+o9NqNclxfB77f+5LHvNlXz4necxyc/rvCae+sjl5zJ070o8byy47qf2dW1zTWvqaE7NclzpUuSf9+q2ycXXymKPbM1ynSizH/CPHPKlYsmhuT2xxjbhYPBJRm4ry4QzXvVb0T/9gjnXyLLjzJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVJE8CAAAAAAAAAAAAXUXyJAAAAAAAAAAAANBVeua7AsyPWq0WX/3qV+OLX/xi3HbbbfHoo4/G2NhYDA0NxerVq+Pss8+OCy+8ME455ZQnpD5f/vKX47d+67c6ivH1r389li9fnqhGAAAAAAAAAAAAHK0kT3ah2267Lf74j/84vve97zU9tnPnzrjtttvitttuiw984APxyle+Mt74xjfG4OBg1jrdddddWeMf0SoZbhBbr09TVqZ/rU5MTqWN11NNGy8iYipxHTMpenrTB+3rSx+z95B6FkXTLsXQUETZflst9+7ptFbNejIMnwsWpI+Zof8odmXoJyrpz6NyX9qYxbKh6R9s0R6KJQsO2z8UuzL0Hz3pj3mlnuOYN5/bnSqOT38O9Zwww3Gfq/Fa8pDFCW3O0/qax4Li+IGIiRbj49709YyeDMd98UD6mEPp5wvFwgzjcGoTE+ljLhyZ2/OqLY5BT29EUWk5N+hUcej8Y6Z60LaylqEfifTHfzbzyvZjJo6XYyxuMSZ0bGIyfcwMiqH0c4ZybPygF2gxH6tUs/RfszVtf9eJY1YkD9nweaayb1/6mCOLk4cst29LGq9YOEN7b7WOGRqMmDpMO1nYYaVaKPfuTx6zGMwwT1yQoZ9rdY2uQ+VU+piV0Qxro77+9vZr0VYrJ4+2XnNnmH8UOa7X9Ga4plbLcG1lbCxpvCyfZY7rvXOdH7acA1SyTGEjIoreaa5PtqoHB0zd9FjEjtbzgvGd6fvPU69c17qsg7lz7c5dnVSppcrqtOdnjjrmMPX3tySPWb93d/KY/9+7m7/P7dTIIWvCvhZrxOG+3uifxdrxkW+nn9Md/7SlyWMOjqYfO15z1dOSxyxG088X/tfl6dv86felXb/t3jHzNcrq6GCsv7yx7Pt/+3DUtk/f/la3O++cheu/+IPkMXdE+nHoldvTz49HT0r/eeZw7nvPSh7z317T/jnUs3QwfvbO5zSU/fvv3hZTWxvb6qb3bEhSt4Nt/fADyWMuP2k4ecxye/rrPz3PSnuzteKEJUnjZTM2xzG4Vc7D+P7H19sD6XPEZlwa5Vgnz4JVVJf50pe+FK961ataJk628vGPfzxe8pKXxLZtaS/eHuo///M/s8YHAAAAAAAAAACAH3PnyS5y6623xhve8IaYnPzJX7SNjIzEBRdcEGeeeWYMDQ3Fgw8+GJ///Ofj1ltvPbDPPffcE5deeml85CMfif7+PH9JcPCdJwcHB+Oaa66ZdYxFixalrBIAAAAAAAAAAABHKcmTXWJ8fDx+//d/vyFxcuPGjfFXf/VXccwxxzTs++pXvzpuuOGG+JM/+ZOY+O+f77v11lvj2muvjcsvP+Q+2Ans3LkzfvSjHx3YXrduXTzjGc9I/joAAAAAAAAAAAAQ4We7u8ZHPvKRhgTFNWvWxLXXXtuUOPljF154YVx99dVRFD/51fkPfehD8dhjjyWv23e/+92G7Z/6qZ9K/hoAAAAAAAAAAADwY5Inu8DU1FR87GMfayi74oorYmRkZMbnnX/++XHBBRcc2N63b1989KMfTV4/yZMAAAAAAAAAAAA8kSRPdoFvfOMbsXnz5gPbq1atiuc+97ltPfdXf/VXG7b/6Z/+KWHNHnfXXXc1bEueBAAAAAAAAAAAICfJk13gX/7lXxq2n//85zf8HPdMTj/99Fi5cuWB7fvvvz/uvPPOpPU7+M6TlUol1q1blzQ+AAAAAAAAAAAAHEzyZBe45ZZbGraf9rSnzer5GzdubNj+1re+1XGdfmxsbCzuvffeA9snnXRSDA4OJosPAAAAAAAAAAAAh+qZ7wqQV1mWcc899zSUzfbOjmvXrm3YPvhOkZ26++67o1arHdg+9Ce7d+zYEQ899FDs3bs3Fi9eHCtWrIiRkZFkrw8AAAAAAAAAAED3kTx5lNuyZUvs27fvwHZRFLFq1apZxTh0/wceeCBJ3SIi7rrrrobt0047LbZs2RKf+tSn4sYbb4x77703yrI88HhRFLF+/fo4//zz4+KLL44FCxYkqwsAAAAAAAAAAADdQfLkUW7Lli0N20uWLIne3t5ZxTjmmGNmjNmJQ5Mn/+3f/i3e9773xf79+1vuX5Zl3HHHHXHHHXfEhz/84Xjb294W5557brL6PDkVR9nrzEKRuk4Z3mPyOmaSo5o53vuhMVu9xmxft1KZe32mUx5+l1mrVtPHzPHeezJMHXK0pd7EMWd6360ea+dz6p/deNyWaoZjPtiXPuZAhvdez3BiVnL0c7XD7zNbfW1+nq32m+65Uxn6pBz6MtSzN0PMngxtPrUcc4W5jm2VFs/7cVmOsW26mEWG1zrqzNRwskxAn6DX6VDquc0TMe9+0sbMcB7mrmerOs/lfVRyzG1y9KEZPs8ca6McMXNIPWeYaV1SbfFYq7InwiyvVbYlx9o1h3o9fcwiQ8wcn2e7MWfVVnPMCzJ8nln6uRx9fOJ65hiHsszZ5zgGT3sds/LEzr2OlOvV82VBX8RU62szRY4+udUY1+m4l+NaXerrlDnqmMNAhnoO9ScP2bcs/41kepcMtlU2k8rigVTV+YkMx6hYlKGeWa6hp4+Zoy2lPu7VYub5R7XF67UqO1jfnomO6tTKwET6+dyCDF8+5jgvi+Hu7eN7lrbfL/aMNn/2rcpyfFeYpZ/LsSbMMGa2/X1Zu+brOslszfX4zPQdd473PuP37fN77a4oD76tH0edr33ta3HJJZcc2D7ppJPiC1/4wqxi3H777fHSl770wPaiRYvi5ptvTlK/l73sZXHbbbfN+flFUcTv/u7vxute97ok9QEAAAAAAAAAAODod4SkyR6dPv7xj8fb3va25HGvu+662LRpU0RE0x0c5/Iz14c+5+CfAe9ErVaLu+++u6m8v78/fumXfikuuOCCOPnkk2N0dDR27twZt99+e9x4443x+c9/Pur//ReAZVnGu9/97li2bFlDgicAAAAAAAAAAABMR/LkUW5iovE21LP9ye6IiJ5Dbp06OTnZUZ1+7N57742xsbGGsnXr1sVf/uVfxlOe8pSG8uXLl8c555wT55xzTlx88cVx+eWXx2OPPXbg8be97W1x9tlnx4knnpikbgAAAAAAAAAAABy9KvNdAfL68R0af6xSmf0hb/WcFL/2vmfPnti4cWMsX748iqKI1atXx3XXXdeUOHmos846Kz74wQ/G4ODggbLJycl4z3ve03GdAAAAAAAAAAAAOPq58+Q8Wr58eZx11lnJ4w4PDx/4/6F3jazVarOONzU11bDd29sbRVHMrXIH2bhxY3ziE5+IiIjx8fGYnJyMhQsXtvXc0047LX7jN34j3vve9x4o+8IXvhBvf/vb247xpDK2NyJaJ6QmyFNtVi+jGBpuKCr37p62DvPmkLbXsWo1bbyIiFriOuZSz3BsK533A4cqJw/5PIsiKkuPaSiqb90yqxOj3Lc3RdUOCZo+ZIztTx9zDgnzh7V7d/qYcxibDqfcn/bcLIYHpn+wpyeqZ2xsKKrdfuth+7D6/btSVK1RNf0xLx/O0DaHZn8n7MM6Qvq5GE/f3otj+9vbsa83el/wrIaiyf/99YiJFncV31dvLnsyGko/thcLMsTM0eZTy9DcY3Tp3J5XqUZ1zckNRbUf3BtRr0X0pF/CFtONl5VqVFauSv56R5Ny//TrmKjn6EeKI2Mdk/q95/gsM8wZWo4nHSozvPeiN30/Uo4d9KsfRSUqx6xoeLy+ZXNEOcv3Uk8/Z0i+xo7Isy4cnzj8TrM1kSFmBuWOHUnjFQtmWMdUe6K6/qcbimp3fmdernOU+8YOv9MsFQNtzpFnI8c5lKGfK2sZ+s6+DF8j9LV5jKo9UT39jIai2l23T9NWc0xqM4zDvRnaZ46xvacvabhiweDhd5qtHNd753pBviiisuyQOcBjmyPKMsv8I6b7jqaoRDEymv71jhL7r/z7iF2tr3VN7Ep/vg+9ak30PPcZDWVTX70pooNfeKv9Z/rrs5UT0p6f9QcyXE/MoFictp+LiKjfvyd5zH/5f+9NHvNQvUsG47m3vb6h7Ksb3heT29o/luueuix1teK4i1cmj7n9xs3JYy5+Zvp+N0f7/Nof3ZY8ZurjvmfnzP1jdfFAnPZPv9JQ9p8v/GjUdky/pnjogZ1J6nawBybGk8fcleH61oVnpb+2ufjE9G0zh8Fnp++Tbrnqv9ret2d0IJ7+9dc2lP37s94fU9sb2+rT/q/Tk9TtYNs+8VDymMv+cF3ymJOf/1HymD2b5vidxDSKlUfIvHp8jnOvnp6obnhaQ1Httv94/PpHf4b120z17O2N6hnp8+faJXlyHr3gBS+IF7zgBVlfY2Cg8SLpoT/j3Y4UP/19OP39/dHfP7uLRhdffHG8733vO3B3zampqfjGN74R5557bvL6za8cXwS2illmeq0OJM8czfD+smS3ZpCjnlmaZhtBy3J27yfHl8053nuGBMIsxz3Hl0U5vpw7NBG3U1OznDJNTR3+sxpPn2AQPRm+LNmf4Yvmaoa22cXJkzHRwXGfmGyd7JKjnjnk+AKqN8O4cST8rUWCP45qknJsq9cej5fjDwOmk+MzOerMtIZ4oubJXbCOyTKXP1Ji5pjLz0M9y/ockiczvPdMSc3J5Vgb5YiZw1TiNcJs1zG1NtYxOXSQQDKtngwJVamPT0Se83IqQ8wcU7BKB8douraaY/6WYyyq5PhaJseaOHHfmaO951i3z3mu0OJEKcv/ngc8kfPVJ9nc+Mlm30TEntYJL+XuDG201Rg3Oc21mHbluFY3nrhfylHHHGb4O5M525s+oWrisX3JY7Zjctv+Wb12fYbktTkbS9+Wyp0Z6pmjzWdonznaUurjXtsx+8+ytmMsatunT8jJ8b7HMiRP7svwRzs5zsty9AiZa2ToP6a2dvbHAVPbx5pjZPiuMEs/l+NaQYYxM/kfdx8pN9JKeXx+/B13T4b3PlM9i/n94Ww/232UW7RoUcP2nj2z/4unvXsb79o2MjLSUZ1SGR0djVNPPbWh7Hvf+9481QYAAAAAAAAAAIAjheTJo9ySJUsatrdv3z7rGNu2bWvYXrYs/S2O52rlysbbtR9aVwAAAAAAAAAAADiU5Mmj3KpVq6I46OdK9uzZ03QnycPZvHlzw/Zxxx2XpG4pDA4ONmxP5viZHwAAAAAAAAAAAI4qPfNdAfLq7++P448/Ph588MEDZffdd1889alPbTvGD37wg4btU045JVX1OrZz586G7cWLF89TTTpTlvWIsmz9YL2e/gWL9HnTRbWaPGaZ470nVxx+l1kqp46QJODJJ+D4tGqr9TKibP+1iwztPaoZjvvA4OF3mq3xsfQx+/rSx4z0MYvqRNqAkzPEa9V/T05GHOZcLhb3dlipVnVJH7I4ZWHymGUtQ0W3pe87i6UZjlEG5e6p9nastRir99cjxmtNxcXKgQ5r1UL6rjNiX3PdO1WMZHjvvYmXXUPpz8uYSNxvRsz9fVdajN091YhKEUVvhvOy1evNVM5PzLSOKTKc9BmGjyzHuZa4b5rF3LdtOabyGc7Pop7++JRj48ljNpwHRauGWk5/rkynP8O8u55+3IyeDMd9MMN5OdCfPGS5a1fymMWxif9gedeOtPEiIhaOJA9ZVDNcos4xDuVYD4+lX7cXvRnee0/6635tj2+t9ivrrcv7MszlFwyljzm2P33MgfTvvehPHDNHO5rKMLbNVavhq15//F+OywuVaT7PHP1fl1j4yyckj1l/pHnuWX9kPGJs7mvwcnv6+eyX/uSOpPGeeWH6z3Loxelv7FL79ux/re9wKicPJ4/5Cx85O3nMctch1xMHmuc5z/mzDbNqq9uuf7jTajW5+S13JY+Zw888b2nymJ/5zW8mj7l+3fLkMXfvyHBNMbFz33tW8pg52vt/fCV9zNGT0q+F+xelX7N/76s7D7/TLK1bk35+fPY7Tm9/5xb96llXnNrUr9bv39dptZose2P6fJ5yX/pzvffCE5PHjMVLDr/PLNS+dk/SeBER1Z8eTR6zfHSOa8y+5oVKuXUsYmIyiqek/SwjIqa+8IPpH1w4ENWNyV+ybZInu8AZZ5zRkDx51113zSp58o47GhdNp58+i0FhGuPj43H11VfH9u3bY+vWrbF169b48z//8/ipn/qpWcW57777GrZPOCH9ggwAAAAAAAAAAICji1tpdIFNmzY1bN90001tP3fPnj1x++23H9iuVqtN8eaiv78//vEf/zE+97nPxTe+8Y24++674+abb55VjB/+8IcNSaEREWefnf6vrwAAAAAAAAAAADi6SJ7sAuecc05UDvopsq9+9atNP3c9nRtvvDEmJ3/yM5hPf/rTY9GiRUnqtWHDhobtf/iHf5jV86+77rqG7VNPPTVOPDHDrX0BAAAAAAAAAAA4qkie7AIrVqyIZz/72Qe29+/fH3/1V3912Oft2rUr/vqv/7qh7BWveEWyel1wwQUN23fccUd86Utfauu5t9xyS3z84x9vKPu1X/u1ZHUDAAAAAAAAAADg6CV5sku87nWva9j+2Mc+Fn/zN38z7f5jY2Nx2WWXxcMPP3ygbN26dXHeeefN+DpXXHFFnHrqqQ3/pnPeeefF6tWrG8re9KY3xZ133jnja9x+++1x2WWXxdTU1IGyDRs2NCVjAgAAAAAAAAAAQCuSJ7vEWWedFRdeeGFD2ZVXXhlvetOb4sEHHzxQVpZl3HTTTfGSl7wkvvnNbx4or1ar8da3vjWq1WqyOvX19cXb3/72hp8U37VrV7zyla+Ma665JrZv396w/yOPPBLvfve74+KLL46tW7ceKB8eHo53vvOdSesGAAAAAAAAAADA0atnvivAE+ctb3lL3H///XHLLbccKPv0pz8dn/nMZ2LVqlUxMjISDz/8cGzbtq3puVdccUU8/elPT16nn/u5n4t3vOMd8eY3vznKsoyIiPHx8XjPe94T733ve2P16tUxPDwc27Zta0jy/LGRkZH44Ac/GCeffHLyugEAAAAAAAAAAHB0cufJLjI0NBQf+MAH4ud//ucbysuyjAceeCDuvPPOpsTJvr6+eNvb3havfvWrs9XrpS99aVxzzTWxZMmShvJ6vR733Xdf3HbbbS0TJ9evXx8f/ehHY8OGDdnqBgAAAAAAAAAAwNFH8mSXGRoaive///3xnve8J9avXz/tfr29vXH++efHZz/72XjlK1+ZvV7nnHNO3HjjjXHZZZfF8uXLp92vKIrYsGFDXHnllfHpT386TjvttOx1AwAAAAAAAAAA4OjiZ7u71Pnnnx/nn39+PPTQQ/Gd73wnHnvssdizZ08MDw/HiSeeGGeeeWaMjIzMOu5VV10VV1111ZzqtGTJkrj88svj8ssvj3vuuefAnTDHxsZi8eLFsWzZsjjjjDNixYoVc4oPAAAAAAAAAAAAEZInu97KlStj5cqV812NJmvXro21a9fOdzUAAAAAAAAAAAA4CvnZbgAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCr9Mx3BYCIoqhEFGXLx8qiyPGKzUWVSkS0rkM7ynLuz51WtZo+ZnJTySMWff3JY0YtfT0jQ9ssp2rJY0ZP+qGuHB9PHrPo60ses6zXk8eM3vT1jN0708esp21LM/ZxLR4ry7JleYOFGfq4XRnO9QXp61nsz3Cur12QPmaOsS3DWy8G2zxGvb3Nz13WFzHZoj/vzTD/2JlhzFyaYczsYD40rdTj2949aeNF5Onf5/pRtnpe+d//Khn+/m+6OU2WefjRpahUY7oDXU5Mpn/BVvO6To9TjvlS6raToy1mmCPHxETykDnWB8VAjvXWQe2oxfEqentnPa8oywxts9W1gE5NZZh/9mZYw+1Nv4aLDGv3osV8rRNl/8D0D7a65tLXH1E9zOc/maF/H1mUPmbtyLi+UCweTR6z3LkjecwsY9GCofb2q7RoqyOjrdf9+/Z2VqcWihxj5sLh9DH7M8zna4nHogxr7Czj+ly1mgP09z3+vnOsY5iTyolDEUtaX0cp96Sf19S+syPiVw4t2xaxZ+5zk57nreiwVs3Ov/l/JI03+fH/ShovImLqK5uTx+z79VOSx/zhb9+ePOYJb0lfz60ffqBhu1g0ECsOaavbb9wc5c6x5K89G7dtSf/dwWuuelrymNdfcWvymPdl+P7xwguXJ495wzvvShrvhS8/ecbHi+HmsX/VGUNR7p5+znbzW9LWMZdFi2dYv83R4Mb0a61ye/r19dfvTt/Hnzq6KnnM+r272995qLmt1u/fE3HI9Ykd305/rX/p6vTfl9W+vT15zN4LT0wec+qz300ab1bHvE2Vp7S5Fp6FYvng3J7YYr1bLB2ImOqJ+q33d1irZtX1I9M/2D+/azsrNgAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAuorkSQAAAAAAAAAAAKCrSJ4EAAAAAAAAAAAAukrPfFcAmFlRFMljlmXykFkUlbT53WWtljReNlNT6WNWj4xc+eLQUalF+y96KhFl++dFjuZe9Pclj1nu3pM8ZtGXoZ452mdv+nqmVtTq0z/Y0zydKvr7I6rVmYP29nZYq2ZluTt5zEg/DEWxcCh5zHLPWPKY0ZfhzR+mWcxFubXN87KveSwo99ciJprHx8pQhmXCqtH0MffvSx8zw7kZPYljtuh3OlbNEHOuY0ar/rNWe/xffYb+eK6mnScdIZPmeVSWZUz7OeWYf7ZayMxUh/mSeB2TPF5EnkVhhr4p9ZowIvI0l8pBc4ZWa/hKMfvXnczQ3w30p485MZk+Zj39QSoWjSSPmeM8Knf9/+zde5CkVX04/O8zPZedvS+7y21ZYGEFRAUWzGLEK0I0+IIoWgmuROML8oqhLONrAH1NCD9jYcxPgwRL1woRSIkVjOKNaEqIpSi6/mRxAbnJnUXYBfbCLLs7t37/IEzomZ7Zmelzpp+Z/nyqtmqfp7u//e1+znPO+T59uiftfL6Yv2D0G+ucX8W8+XseazOMxdW+9O2omD07ecyacz2VsWrNSSoWpp93VwcyXAvo7R3f/Sp13qOBvufnhsMUCxY2mFQdOebe0+XibOL5XJGj1spw7XyP13NGUy+X9vbnj3eOQz7a8cnxnswg7W9YHtE/yriza2fy52vbNLL/bDtobsTOkl0PTfzaq1vG2cdPQOW4xclj9l75u+Qxl196ePKYA+u2JI+5c0vtONpWHTmu7to6EINbx/+52vJPrmw4r+Fe82D68/JXn8tw3Peelzzm2/98efKY935rc/KYp38g7XHfvS39/PiVGd7L9156S/KYV3/mDcljVrfsTh7z//zLo8ljnnvbGcljDvzy8eQxc7yfi9+Xvn22vXTv5DH7/+vJ5DFjVnfykKmPUcepy5LGy6X63CTnXh0jC5Xqzr6Ivr5oW3VQg1mNVH38idFvrPMZ5lSaHqtpAAAAAAAAAAAAABKxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBp+b72gAAIABJREFUAAAAAAAAAACAlmLxJAAAAAAAAAAAANBSLJ4EAAAAAAAAAAAAWorFkwAAAAAAAAAAAEBLsXgSAAAAAAAAAAAAaCkWTwIAAAAAAAAAAAAtxeJJAAAAAAAAAAAAoKVYPAkAAAAAAAAAAAC0FIsnAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALcXiSQAAAAAAAAAAAKCltDc7AWDqFcVo++rcME7VanXSjx015sBA2oCp40VEdHWlj9nXnz5mpD8+OdRrR8NbZbVajZhIe2vL8D2BDMeoaE8/JFd37Uoes5g1K3nM6py5yWNGf+Jj1Nc7+m2Vysh93d177nP6+hrLqY5i/vzkMWNWd/qYO55NHrKYlz7P6u4M51Bn+nGjOGCcr71OP9O2/7z058toBjOMw3PnpY/ZPTt9zMRzkKI7Q3vPME8qJjsG13lc0dkZMTgYUckwro+WZ445xAxT1Css/luO2WdR5/jX2zcR1cHBhh5fV+rzKUeORYb2nSPPao6Y6UOO6zkn+LxFR0eWVFLLcq5n6H+ru3Ynj5lDMSfxPGSsA1TvfW5v3/O53J+hjlmQoY7JcQ1oIEOf1JHh8vxg+jMzx7WAaNs5zvvVGf+7ZtVvq9Ok74z2OtcRGjb567qjRkzdPseYO5Yq5nSR4Xp8K6hu3R7RW/8636MX3pP8+fZfc0DymFkkvv5XLOpMGi+XLHnuyDAHyWC/Ny6o3TFn5DXLfV4zP2LH+K9lDty5vdG0Rth7RfprYIcdszR5zHu/tTl5zK239SSP+ZI3LNjznSbopq8+nDTeyZcfO/YdZo08b7tfuyRi1+if4Tzzzd83mtYI//r1U5LHfPqrjyaPOWth+nrj+MuOSh6z94u3J4/Zceqy5DEHfv30+O/cN3KeWt3aG9FT21bbVmT4jCODHO/n4F2bksfsOPPwpPGKRYuSxouI6Lt2ffKYldXp86w+/kTymIP37Rj9xtkDEa9O/pTj5tMgAAAAAAAAAAAAoKVYPAkAAAAAAAAAAAC0FIsnAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALcXiSQAAAAAAAAAAAKClWDwJAAAAAAAAAAAAtBSLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBAAAAAAAAAACAlmLxJAAAAAAAAAAAANBS2pudADD1qgODUdTZF1GdfNC29Guxi0olabxqMfxVJzAwkD5mFhlee4ZjPl3ez2JWV/KY1d3JQ0bRNjt90BzHaPeu9DEHBtPGmzPGe1nvXOjujhjcQw59/Y3lVM+unelj9vWmj9nRmT5mpM+zmJ3hHOpM339E7zg7kHrjYFHU39+d4bV3zUofc0/n2SQUHR3JY8asxK99moyX0TnJc72o0692dEZU0x/vUZ9vrP0MqVYHI6r1a4jUc/lpJfU8OfW8JiJLeZClPsiRaI66MMe8roHyfFSV6dGvVXOMc50ZxvcsJ1LiAz+Z93KPLyvHtZVMY3xqOca2wfQnezHZOdgYqjt2JI9ZzJkzzjuObHPF7NmjzkFaVts0GTNTy1ATJp3TVKvP/2vP8FHcqMdnGhy3Jiq6O0f9ZHT5pYenf8K+ke2pcsS8iN6+SYes9pT/mmL7a5YmjRcR0X/z5uQx29+8b/KYA+u2JI9ZWb0oecy+rz8ybMfIvqO6tTeiJ8O14QlY9MbFyWPuXL8tecwjPnpI8ph3/+8Hksfc9GD6zw8WLEx73XPg10+PfYe5XRFnDXvMb56J6Bn9GvmshenH4YHb0p/rOdp7DoMPP5c8ZrEoQw2TYbysHDeBYzRr5GuqHL1XxK7afvXZz9/baFojzD334OQxn/qnB5PHXPqZ45LHHLxrU9J4bS9NGi4iIjrOXJU85uCG+yf3wM46tc9zAxG9A9H+plc1llQdA3uN0d7bc1y7G7/pcdUUAAAAAAAAAAAAIBGLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBAAAAAAAAAACAlmLxJAAAAAAAAAAAANBSLJ4EAAAAAAAAAAAAWorFkwAAAAAAAAAAAEBLsXgSAAAAAAAAAAAAaCkWTwIAAAAAAAAAAAAtxeJJAAAAAAAAAAAAoKVYPAkAAAAAAAAAAAC0FIsnAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFpKe7MTAJqgKMa3b0IhG3t8PdWBgeQxkxuspo+Z/q2MyJBmjpgj2lGddjXhttZeaSCjUWRom8WsWclj5sizOjiYPGZRSX+Mqr29aQP29Y9+W738+wf2/P5XM5xEc+amj9nflz5mjo4uwzhU99g2HDPD9Hu853pbnedua4+o9zJztM9dO9PH7J6dPmaO4566P+7sTBsvIoocA3vbJM/LeudzWxFRLaLIcQ6Nlmfhu4aNyDGXzzFnyDJ+pNbZ0ewMxifHe5lh7pn9mNeL39E+8bE1x1icIWbR3Z08Zo46JvrHmM9PVlv6caLan/a1F7PGOD716u1Zs/bYTqqxq9G06j9vYtUMdUzRlmEcqmbo57oyzBVz5Dne6zX1+tX2Sv22OpAhz8nOaceMmWNOkz5k8vezkmF+naEvnrx6dUwl8lyYjYi+Ufq56TC/baJin31GnWsM/vye9E/YNXIuX93RH7F78nOTthXzGsmort4rf5c0Xuf7VyaNFxFRLOpKHrP65O7kMbf819PJY0aGmLMW1l5fKQYHY/jMsXf7YFSfncBYsC39PPGLn9mQPObr9l6UPObKrenrjTvv3Zw85jsuXZU85j1XPpY03q+vf3LM29sXd8er/qF232/+Y3P0Pz36tefV/+vIFKnVGPh1+vOy87xXJY/Z/4M7k8cs5qe/PltdlL6GqW5Pf15Wjp5A/9E+8n2qvGzBiOsT8yYSc5yqzyX+jDQillyQfmzP8ZlR5Y1HpQ24O/1cYXDD/cljth116CQfOLKeajvy4IjBwRi4997GkqpnrOtUdc6ZqVSmyhIAAAAAAAAAAAAgO4snAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALcXiSQAAAAAAAAAAAKClWDwJAAAAAAAAAAAAtBSLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBAAAAAAAAAACAlmLxJAAAAAAAAAAAANBS2pudADD1irZilH0j949XtVptIKMpUkz+9Y2qkmENeo73cqA/fcz2DEPI8LZZ75h1dOR5jyZiYDBDzIHkIat9fcljRqWSPmZnZ/KQReo8e3tHv61tZD9QdHZGDGZoJ3tQHSvPSSrmzE0es/rs9uQxY86c9DH7MvSdOc6hefPHd786bTXmzq3fVjMMmTE4DeYKEVn64+TvZ4Z2VNRrH81SZ/wvKpWIatvz84DURuuvixK9J2VVrY46L0s+Fv/30w1vHc8/fQP9S455Zeq6I8ecIkdfl2OMmy551hzzese/mPhYkKNtlqmvH0t/hjlYV1f6mLszzL07E49zY/YfdRpldXCPba/ontVYTvVkaO9FjmsWOfqkHHnu2p0+Zo7+Y7xzrXrjatEWdcf/zgx9fA45+vgc5VZX4us1WWqtDMVrjj4pxzk06vW0HAX9zDHwf+6P2Fm/nyz2ST9fGHx05PXZ6rMDEbsamO8s3KuBjOrr+NMD0wac1Z02XkS0v2Gf5DH7vvVI8phLLliZPObgfTuSx6xuGTaX7R7Zp8x6xfyIneOf8+5cv63RtEY4c/VByWPu/469k8e858rHksf84z85JHnMHMdo7xVpz/e9Y+x4xYKR9ciKVyyM6rbR65SBXz/dcF7Ddb4//bk+8PN7ksfc+M/p2+byT6Z/7Y99/qHkMRetSD+uz57InWd1RuXY2l0Dd26L2FXbr1Zef2jDeQ1XxDPJY1afS38NJMd8of/btyaN1/aS9J89VnsyXPfKoPpM+jGjGGsa257hs58JmCZXTQEAAAAAAAAAAADSsHgSAAAAAAAAAAAAaCkWTwIAAAAAAAAAAAAtxeJJAAAAAAAAAAAAoKVYPAkAAAAAAAAAAAC0FIsnAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALcXiSQAAAAAAAAAAAKClWDwJAAAAAAAAAAAAtBSLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpbQ3OwFgZiiKInnMaoaYyVWr6WNWKulj5ngvc8QcHEwfM0s7ynHcMwzJgxnyzKDoSP/aq7t3pw3Y2Tn6bUWd76J0dEZU99CeM7T3IkeflCPPOXOTx8zRH1dzzJSnSZdUdIzR5sukPUffmWEsak87thdtGRpShpjVvr7JPbBoG3GqVAcGIqqDeV47k1a0VSJLJzTdpe5HpkvNkcN0qY1yHKMck4YcY1wOs2enj5m6PojI0z4HEh+jseZK9c6FSvue2/O0qdvTq+aojZJHjDzzuoGB5DGL8c7l672c0V5ijusgOQ5SjjafY56c+rhPl+uTWcb19EY9L4siT98yQ1Reeeiobbv6+8fTP9/LRs5rKi9bENHfP+mY1fs2NpJS/Zg9k8+nnmL2zqTxIiKqm9PHbH/N0uQxe778UPKYc889OHnMYq/9a3fU+Xyi/cQDIwYm0DbW/6bBrEZatKIreczHv7kpecx5C9NfS31k/bPJY+bwkjcsSBrvvh9vG/P2yqKIfYbte+rhXTGwZfQ+YuEx6T+P6L3yd8ljFovSt6Nl//cByWOmHjMiIpZ/cmXymAN3bk8es+0lc8Z/546OkY8/ZHZE37D9W59pMKuRqs/1Jo/Z9/VHksfsOHVZ8pjF/LSfGbUdenDSeBERcWj6kJOex7a3Ryw7qDbWk09E9PdHsVfa/r3s/PIkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaij/bTY0HH3wwTj311Ojr64vVq1fHNddcM+U53HHHHXH99dfHrbfeGhs3boyenp7o7OyMZcuWxdFHHx2nnHJKnHDCCVOeFwAAAAAAAAAAADODxZMM6evri4suuij6+vqa8vybNm2Kv/mbv4mbbrppxG39/f1x3333xX333Rff+MY3YvXq1XHppZfGsmXLmpApAAAAAAAAAAAA05k/282Qiy++ONavX9+U577//vvjXe96V92Fk/WsW7cuTjvttLj11lszZwYAAAAAAAAAAMBM45cniWq1Gp/61KfiG9/4RlOef8uWLXHOOefEE088MbSvUqnEySefHK997WtjyZIl8dRTT8VPfvKTuPHGG6O/vz8iInp6euK8886L6667LpYvX96U3AEAAAAAAAAAAJh+LJ5scT09PfHxj388fvjDHzYth0suuSQ2btw4tL106dK44oor4uijj6653zvf+c7YsGFDfPjDH47HH388Ip5fePnxj388rrnmminNGQAAAAAAAAAAgOnLn+1uYbfffnucfvrpTV04edttt8UNN9wwtN3R0RFr164dsXDyBUcddVRceeWVsXDhwqF969atix//+Me5UwUAAAAAAAAAAGCGsHiyBfX09MRll10WZ555Zjz66KNNzeWrX/1qzfZZZ50VRx555JiPWbFiRXzsYx+r2fflL385dWoAAAAAAAAAAADMUBZPtpDe3t646qqr4qSTToovfvGL0dfXN3TbggUL4txzz53SfHp6euJHP/pRzb53v/vd43rs2972tli0aNHQ9vr16+P3v/990vwAAAAAAAAAAACYmSyebCE/+clP4tOf/nRs2bKlZv+qVaviuuuuixNOOGFK8/nFL35Rs4DzpS99aSxfvnxcj+3o6IjXve51Q9vVajV+8IMfJM8RAAAAAAAAAACAmcfiyRY2b968+OQnPxlf+9rX4qCDDpry57/11ltrto877rgJPf7YY4+t2V63bl3DOQEAAAAAAAAAADDztTc7AaZed3d3rFmzJs4555xYuHBh0/K49957a7YPO+ywCT1+5cqVNdt33313wzkBAAAAAAAAAAAw81k82UIWL14cF1xwQZxxxhmxYMGCZqcTjzzySM32gQceOKHHH3DAATXbTzzxRPT29kZnZ2fDuQEAAAAAAAAAADBzWTzZQlatWhWrVq1qdhpDNm/eXLO99957T+jxixcvjqIoolqtRkTE4OBgPP3007Hffvsly5FmK5qdwDjkyLGFYxbF2Nuj7ZtIzBRaOWYOOfJsa0sbrxgjXr3bxrr/CxKn+HzMDEFzxMzhv+cDpY+Z47Qcb5r1juVox3e6HPfxnGsTleOlp85zuowZk33do47/bVM7tk2XcZSYHnVD2bTye5a7NqoXfxLPmeUQTZfjPk3GuemQ51jxJltvZ5kzpA+ZRY6557SZ1zUz5ij96lS1m2nTH0+HE2m6vO7Jxkw0B2jo+XI/5wxQtEW0jXIhpT3DR6b1Yjb6PJ0djT2+nq7E7SbHe5njdWdQzOtKH7Qjw2uvDDtGlUqd+9TZN4Ysrz2DtoXTo5+sFBN7/5tmbtrjXlnUPfbtC2eNa1+NORnaZl+GdjQnww9EzcoQsytD2+zMMG50Z3jtE+mPxzsHyDFmdmT4bCvxuR4R02NOM10+K5tsOxqrTQ6fK+Q2wXlHakW1muNTYaajX/7yl/Fnf/ZnQ9urV6+Oa665Jstz7dy5M4455piafTfffHMsXbp0QnFWrVoVzz333ND2t7/97TjiiCOS5AgAAAAAAAAAAMDM5Jcnm+jaa6+Niy++OHncq6++Oo4//vjkcVPauXPniH2zZ8+ecJzZs2fXLJ588f8BAAAAAAAAAACgnmnyG6PMNH19fSP2dUziZ+crw366tb+/f9I5AQAAAAAAAAAA0BosnqQpBgYGRuxra5t4cxy+eHJwcHDSOQEAAAAAAAAAANAa/NnuJlq6dGkce+yxyePOmzcveczU2ttHNr2BgYG6+8cy/BcsOzs7G8qraXbtiIjq1D7nrLnDcuiZ2ucfh+rgFL8nk5Fjwe6wRcFJ5MizKNLHHBj267FFEcXchTW7qj1bI6oTaBs58uztTR+zkn5Irtb5ld8yKjoyvPYdz6UNONbxKdqibe99anYNbnoyorqH825Pt09GjmM+iS83NMVE+oXxhqzzZY+GZeiSxj2FaGuLyvKDa3YNPPpQ3TGimC5zqgx9Z5ZzM/HYXrRlaEgZzvVq3yR/Fb4oom3JsH71qScjqtUsY8boebRFsWCvqXu+6WiK65hqNaLorq1jqjsbrGMyjB/JY+bIMcccebrI8dprxtIiirnza26u9myPCZ8rWdrmNPnCaUeGeUjv7vQxc0zsUtfuY11nK4oo5i6o2VXt2bbntpfl+kL6kDlUe9PXW0XnxP8Szx5lOEY5aqOiq2u896zfVuv1qzmmJVnaZ4agOca31GNRjhxzXLOY9DlURDGn9rOZ6o5nI6IaRSVDvTUwSp5FEcXs8n9G1CyDv38sYrB+n1Z98on0T9jeHpWjjqvZNbDh1xEN/BW16tO7Gs1qZMwdaf+qW9uBc/d8pwnK8bpz2HHdxuQx57z3wOQxi4W1NUtUKlE54mU1uwbuvjNiAnOAnsvuSJFadlsfyfD5TgY926bH5zuHnJB2zHngZ8+OeXtl4aw44j/Oqtl39x9fEwNbR+8jDn3r4iS5vVh1a/p2VCxMXwu3HZS+Py7mpf8cu5iT/prvwN1jt6XJqBy7cM93ekF7e7Qf/6qaXf2//MWIOUDRnb4mrO5M33/0feux5DE73rxf8pip5zSVP1iZNF4uk57HjjVX7epOkNkEczn8yKl9zhc/fdOemTjppJPipJNOanYaTTFr1qwR+3p7e6Nr3BfNnjdjFk8yirQX6IociwKKHBfoMizWyXEhcbILIhpVjYk1jRwfOnZMjw83iiwfimd4P/ub+SHM+FSHL+ytebI670kxjoaao21mGAeL9gwLujN8UDTmMZqkYjDHVLmJ51CdsaCoVOp/gJWj+5guCx0zxCyKxOdRjv4jg0kv8qzTJou24vnTJ8uHwqMmkv65aEjd7qrBw1TNcT6lXuCcZSFI+vadY+6ZY6FS8uMTsef3czJPmePLhDm+qJdDjvE9R02cZcFO4vY51ofd9drtwEBz5hlZvkSa/nUUXRmuO2YZhzJ8mJnjGI37HKrTVtvaou4AOR0WEOaSI8/UC/5yLL4u1XXUem01Y00xamx1zFj6vrUhoqf+Apv2N+xTd39D6n3oXOmIRo5TsSDDNbAFaa/ZVLcn/mJ7RPT9+yPJY7Ydkn6hcfXZDF/aGWNR2GQNPjbsi4hdHSMWTw7e/UTE7vHXZHPetneK1Go8+r9+lzzmvsekXwzyL2vvTR7znGtfmzzmLz+8IXnMyvvTLn46/P/aQ19c5/O5lf/fijF/WKLnyw81mNVIXQvS14O7Nu5MHnP2PhkWZB6+KHnM6nPpF6NWXjEnecxi6QQW4tapoYole01oUfpkFf3PJI/ZsadzcxKKvTJ84eeZbUnDJf+xnoiIXenP9WLpJMfgep8bLl4SMTgYxfz5dR7QmMEnN41+4wR/aC+1afJTQsw08+bNG/Ent3t6Jv6LITt27KjZnp/hBAYAAAAAAAAAAGBmsXiSpiiKIhYtqv1WwpYtWyYUY/v27SN+eXLJkiUN5wYAAAAAAAAAAMDMZvEkTbN8+fKa7SeffHJCjx9+/wULFsTs2bMbzgsAAAAAAAAAAICZzeJJmmbFihU12w8++OCEHv/www/XbK9cubLhnAAAAAAAAAAAAJj5LJ6kaV7xilfUbN95550Tevztt99es33kkUc2nBMAAAAAAAAAAAAzn8WTNM3xxx9fs/3LX/4yqtXquB//85//vGb71a9+dZK8AAAAAAAAAAAAmNksnqRpDj300Dj44IOHtjdv3hw333zzuB77wAMP1Pzy5Jw5c+JVr3pV6hQBAAAAAAAAAACYgSyepKne9a531Wx//vOfj97e3j0+7rOf/WzNr1SedtppMXv27OT5AQAAAAAAAAAAMPNYPElSF154YRx++OE1/8byp3/6p7Fo0aKh7TvvvDMuuuiiGBgYGPUx//AP/xA33XTT0HZXV1ecc845jScPAAAAAAAAAABAS7B4kqaaO3du/NVf/VXNvu9973uxZs2auO2222r2/+53v4vzzjsvvvKVr9Ts/9CHPhTLli3LnisAAAAAAAAAAAAzQ3uzE4B3vOMdcdddd8XVV189tG/9+vXxJ3/yJ7F06dLYZ599YsuWLbFx48YRj/2jP/qj+MAHPjCV6QIAAAAAAAAAADDNWTxJKXziE5+I2bNnx9q1a2NwcHBo/+bNm2Pz5s11H3PGGWfEJZdcEkVRTFWaAAAAAAAAAAAAzAD+bDel8ZGPfCT+/d//PV7/+tdHR0fHqPdbtWpVrF27Nj796U9He7v1vwAAAAAAAAAAAEyMlWcMOf744+Oee+5pKMall14al1566aQff+SRR8batWvj2WefjV/96lexadOm2Lp1a8yaNSv23XffOOaYY2LfffdtKEcAAAAAAAAAAABam8WTlNK8efPixBNPbHYaAAAAAAAAAAAAzED+bDcAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALaW92QkAjKZoK//67qIokses5njd1Wr6mOlfesSI117nSdraImICr2dwsJGM6stw3KM9w5Cc5bhneO05zqNdu9IGHBzjvSzq3DZY3fP7X5ke07DqwED6oLt7k4csZncnj1kd7EseM/r608fs6hzf/Yo640tHR0R1ZD9ZZGif1f4Mr71tmvTHyd/P9P17tTfDedk5zrY54oF1jmul8ny/Wqk0llQ9o/XxOcY8Smc61BxZ5koZ5sjVHHPPSobjk+OY56g5crz2HGNxjr4yR18/Xers1K99zNdd59i1t8ce5xk5jnmOmiPHPDGHVp5vjPe413uPBgfqn4M5+o8cx2i6XKtKLUOOOeZyOeY0Wa6tjPZ+ToOm0EzFgs6IjvrnYPW59HXx4D1PROVlR9XsG7j1iYhdk3+utpfMaTSt7AbWbUkes3Lc4uQxi/nprwHNfdn85DF7/vXR5DFnHTyrdsecrug4vXbXwB3bInbsHnfM6pb059B+b1yQPGaxqCt5zPdf8PLkMfv/68nkMbdtTfy5SaQ/7r/9fx4Y8/bKou542S2vqdl3z/97Vwxs2TnqY7ZneN3Hnb5P8pjzPnJY8pj9P07fjtoOPyJ5zKIr/Xk5sOE3yWNWH39i/Hfu6Ig4tPaYVp/YFNFX+7lTsf++KVKrMfCb9OPw4APPJo/NS9/2AAAgAElEQVRZOWb8Y8x4ta06KGm86n0bk8bLpVi0KHnMwSc3JY8ZW58Z/baOSX6elMg0+JQAAAAAAAAAAAAAIB2LJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKe3NTgCIiCianUCUIweyyXF4iwxBR8Ss8xwTfd4pybOsMTN8RyJLnulDRlvq114d/aZ673Nb25gPGbrPdLCn1zEZlUr6mDnezxwxm/naJ9JWp8v72daq/XGGEzPH8Zns6653DIq2iKhO7TiU47lmnDK8R2XIYRpq6fade+xIUMPkkqU+SB+yNO9XM0zpa59kW5029XALt6OZpu7ccJTjm+W4T5P2OR1ee5bTskzner1c/nvflB7zMr0nJdTdNfptnZ0Znq/O/Ku7q7EaPEeeqc2dlT7m7BzHJ8N1uq70H70Xi2Ynjxnzh50L9d7febMiKhNoq9UMyw7md6SPOTdDWxrIUGtleD+79p+XPGbq87197zlj3l5ZOPL52pfOjqJj9GPQOStD21yY4bzsyNA2c/THOa4t5Ji/5Hg/JxKyo07/1dk5cg7XnqF9zs5w3Of3p4851rxsslK/n10Zcsxhsp891v3csPJ8O83RNsc6L+udM1OoqFarOT4SBwAAAAAAAAAAACilafKTRwAAAAAAAAAAAABpWDwJAAAAAAAAAAAAtBSLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBAAAAAAAAAACAlmLxJAAAAAAAAAAAANBSLJ4EAAAAAAAAAAAAWorFkwAAAAAAAAAAAEBLsXgSAAAAAAAAAAAAaCkWTwIAAAAAAAAAAAAtxeJJAAAAAAAAAAAAoKVYPAkAAAAAAAAAAAC0FIsnAQAAAAAAAAAAgJZi8SQAAAAAAAAAAADQUiyeBAAAAAAAAAAAAFqKxZMAAAAAAAAAAABAS7F4EgAAAAAAAAAAAGgpFk8CAAAAAAAAAAAALcXiSQAAAAAAAAAAAKClWDwJAAAAAAAAAAAAtBSLJwEAAAAAAAAAAICWYvEkAAAAAAAAAAAA0FIsngQAAAAAAAAAAABaisWTAAAAAAAAAAAAQEuxeBIAAAAAAAAAAABoKRZPAgAAAAAAAAAAAC3F4kkAAAAAAAAAAACgpVg8CQAAAAAAAAAAALQUiycBAAAAAAAAAACAlmLxJAAAAAAAAAAAANBSLJ4EAAAAAAAAAAAAWorFkwAAAAAAAAAAAEBLsXgSAAAAAAAAAAAAaCkWTwIAAAAAAAAAAAAtxeJJAAAAAAAAAAAAoKW0NzsBYGo8+OCDceqpp0ZfX1+sXr06rrnmminP4Y477ojrr78+br311ti4cWP09PREZ2dnLFu2LI4++ug45ZRT4oQTTpjyvGiOgYGB+PGPfxw//OEPY8OGDbF58+bYtWtXzJkzJw466KBYvXp1vP3tb4+VK1dOST433XRTfPCDH2woxs033xxLly5NlBG5lLEveuKJJ+Ib3/hGrFu3Lu6///7Ytm1bVCqVWLJkSRx55JHxpje9KU455ZTo7Oyc0rxorrK01Z6ennjlK18Z1Wp10jE+97nPxVvf+taEWVF2vb29ceqpp8ZDDz0UERH33HPPlD6/fnXmUMdQNuoYmqWMfZHxlnrK0lbVMUyGOoZU1DGUjTqGZiljX2S8pZ6ytFV1DJOhjmlcUW3krAOmhb6+vjjrrLNi/fr1ERFTXqxv2rQp/uZv/iZuuummPd539erVcemll8ayZcumIDOaZcOGDfHxj3887rvvvj3e98wzz4wLLrgguru7s+b0T//0T3H55Zc3FEOxXm5l7It6e3vjC1/4QvzLv/xL9Pf3j3nfZcuWxaWXXhqrV6/OmhPNV7a2+qtf/Sre8573NBRDsd56PvOZz8SVV145tD1Vxbp+dWZRx1A26hiaoYx9kfGWesrWVtUxTIY6hhTUMZSNOoZmKGNfZLylnrK1VXUMk6GOaZw/2w0t4OKLLx4q1Kfa/fffH+9617vGNeGIiFi3bl2cdtppceutt2bOjGb5z//8z3j3u989rkI9IuLaa6+NM844I5555pmsed19991Z49NcZeyLduzYEWeffXZ85Stf2eOEMiJi48aN8d73vjeuvvrqbDnRfGVsq7/97W+zxWZmuv7662sK9amiX5151DGUiTqGZihjX2S8pZ4ytlV1DBOljiEVdQxloo6hGcrYFxlvqaeMbVUdw0SpY9Lwy5Mwg1Wr1fjUpz4V//qv/1qzf6q+6bhly5Y444wzYuPGjUP7KpVKnHzyyfHa1742lixZEk899VT85Cc/iRtvvLGmU120aFFcd911sXz58ux5MnXWr18fZ511VvT19Q3tmz9/fpx22mlxzDHHxJw5c+Kxxx6LG264YcQFplWrVsVVV10VXV1dWXI78cQTh9pqd3d3fPGLX5xwjFe+8pWl/rnpVlXGvqharcZ55503oiBbtWpVnHLKKXHAAQfEjh074rbbbovvfOc7sX379qH7tLW1xeWXXx4nnXRS0pxovjK21YiIiy66KL75zW8ObV988cVx0EEHTSjGYYcdFkuWLEmdGiX03e9+Ny688MIRxXLubzrqV2cWdQxlo46hGcrYFxlvqaeMbTVCHcPEqGNIQR1D2ahjaIYy9kXGW+opY1uNUMcwMeqYdCyehBmqp6cnPv7xj8cPf/jDEbdNVbH+kY98JG644Yah7aVLl8YVV1wRRx999Ij7btiwIT784Q/H448/PuV5MjV2794df/zHf1wzCV21alV84QtfiL333nvE/b/1rW/FX//1X0dvb+/Qvr/4i7+I888/P3lu27Ztq/mJ6KOPPjr+7d/+Lfnz0Bxl7IuuvfbauPjii4e2K5VKXHLJJfHOd75zxH03b94cf/mXfxnr1q0b2jd//vz40Y9+FAsWLEiaF81VxrYaEfG2t71t6NvgbW1tceutt2b/0z1MP4ODg7F27dr4x3/8x6hXYuYu1vWrM4c6hrJRx9AsZeyLjLfUU8a2GqGOYXzUMaSijqFs1DE0Sxn7IuMt9ZSxrUaoYxgfdUx6/mw3zEC33357nH766XUL9aly22231Uw4Ojo6Yu3atXUnHBERRx11VFx55ZWxcOHCoX3r1q2LH//4x7lTZYpcddVVNYX6wQcfHGvXrq1bqEdEvP3tb4/PfvazURTF0L4rr7wynnrqqeS53XXXXTXbL33pS5M/B81Rxr5ox44dcdlll9Xs+8QnPlF3QhnxfMG2du3aOOqoo4b2bd++Pb70pS8ly4nmK2NbjYjo7e2N+++/f2j74IMPVqgzwlNPPRVnn312fP7zn69bqOemX5051DGUkTqGZihjX2S8pZ4yttUIdQzjo44hFXUMZaSOoRnK2BcZb6mnjG01Qh3D+Khj8rB4EmaQnp6euOyyy+LMM8+MRx99tKm5fPWrX63ZPuuss+LII48c8zErVqyIj33sYzX7vvzlL6dOjSbo7+8f8edKLrzwwpg/f/6Yj3vLW94Sp5122tD2c889l+VbPIr1mauMfdG3v/3t2LJly9D2y1/+8lizZs2Yj+nu7o6///u/j0qlMrTva1/7WvT09CTLi+YqY1uNiLjvvvtq/rSP/pEXGxwcjG9+85tx+umnx89+9rOm5aFfnf7UMZSVOoZmKWNfZLylnjK21Qh1DGNTx5CKOoayUsfQLGXsi4y31FPGthqhjmFs6pi8LJ6EGaC3tzeuuuqqOOmkk+KLX/xizaC6YMGCOPfcc6c0n56envjRj35Us+/d7373uB77tre9LRYtWjS0vX79+vj973+fND+m3i233BJPPvnk0PYBBxwQb3jDG8b12Pe973012//xH/+RMLPn/fa3v63ZNhmdGcraF33729+u2d7ThPIFK1asiNe//vVD27t27Yobb7wxSU40V1nbasTI/vGII45IFpvp7aabborTTjstLrrooti8efPQ/ra2tvjoRz86pbnoV6cvdQxlp46hGcraFxlvGa6sbTVCHcPo1DGkoI6h7NQxNENZ+yLjLcOVta1GqGMYnTomP4snYQb4yU9+Ep/+9KdrVnhHRKxatSquu+66OOGEE6Y0n1/84hcjvhWxfPnycT22o6MjXve61w1tV6vV+MEPfpA8R6bWT3/605rtN73pTTV//mEsRx55ZOy///5D2w8//HDceeedSfN78Tcd29ra4rDDDksan+YoY1+0devW2LBhw9B2W1tbnHjiieN+/Jve9Kaa7RwXr5h6ZWyrL/BNcOrZvn17fPCDH4z77ruvZv++++4ba9eujQ984ANTlot+dXpTx1B26hiaoYx9kfGWesrYVl+gjqEedQypqGMoO3UMzVDGvsh4Sz1lbKsvUMdQjzpmalg8CTPQvHnz4pOf/GR87Wtfi4MOOmjKn//WW2+t2T7uuOMm9Phjjz22ZnvdunUN50RzNdomVq1aVbP9q1/9quGcXrBr16544IEHhrZXrFgR3d3dyeLTPGXsi37zm9/E4ODg0PbKlStj4cKFk87p17/+dVSr1YbzornK2FZfMPybjnv60xW0pkqlEmvWrInvf//78drXvnZKn1u/OrOoYygbdQzNUMa+yHhLPWVsqy9QxzAe6hhSUcdQNuoYmqGMfZHxlnrK2FZfoI5hPNQxebQ3OwEgne7u7lizZk2cc845E+qkUrv33ntrtif6rbGVK1fWbN99990N50TzVKvVuP/++2v2TbRNHHrooTXbw79504h77703BgYGhraHf4tn69at8fjjj8eOHTti4cKFsc8++8T8+fOTPT/5lLEvuueeexrK6aCDDoqOjo6hb8Vt3749HnvssXF/K45yKmNbjYgYHBysabNLly6NxYsXD23v3r07Hn744di+fXvMnj07lixZEnvvvXeS52Z6KIoi3vzmN8eHP/zhOOSQQ5qSg351ZlDHUEbqGJqljH2R8ZZ6ythWI9Qx7Jk6hlTUMZSROoZmKWNfZLylnjK21Qh1DHumjsnL4kmYARYvXhwXXHBBnHHGGbFgwYJmpxOPPPJIzfaBBx44occfcMABNdtPPPFE9Pb2RmdnZ8O5MfU2bdoUzz333NB2URQjjvGeDL//o48+miS3iJHf4jniiCNi06ZNcd1118X3v//9eOCBB2q+8VAURbzsZS+Lt7zlLbFmzZqYPXt2slxIq4x90fCcJjoZrFQqsd9++9XEKcukkskrY1uNiHjooYdq+u+XvvSlsWvXrvjOd74T119/fWzYsKHmz1tEPN+m3/jGN8b73//+2G+//Rp6fsqrUqnEn//5n8eZZ57ZlF/VeDH96vSmjqHM1DE0Sxn7IuMt9ZSxrUaoYxidOoZU1DGUmTqGZiljX2S8pZ4yttUIdQyjU8dMDYsnYQZYtWrViJ/Rb6bNmzfXbE/0Ww+LFy+OoiiGCqTBwcF4+umnDfrT1KZNm2q299prr+jo6JhQjOFtaHjMRgwv1n/xi1/EFVdcETt37qx7/2q1GnfccUfccccd8dWvfjUuvvjiOPnkk5PlQzpl7IsazSni+W+bvXhS+eSTT046H8qhjG01YuS3yrds2RJvfvOb44knnhj1MY8++mhcffXV8fWvfz3OPffc+NCHPhRFUTSUB+UzZ86cuPDCC5udRkToV6c7dQxlpo6hWcrYFxlvqaeMbTVCHcPo1DGkoo6hzNQxNEsZ+yLjLfWUsa1GqGMYnTpmarQ1OwFgZtm5c2fNtyIiYsI/qd/R0RHd3d01+7Zt29ZwbjTHM888U7M9mT+xMHfu3Jrt7du3N5TTiw2fjN58882jFurDPfXUU3H++efHl770pWT5kEZZ+6Knn366Znsy306fN29ezXbK84GpV9a2GjHyYubtt98+ZqH+Yr29vXH55ZfHeeedF729vQ3nAqPRr5JKmftjmkMdQzOUtS8y3jJcWdtqhDqG6UG/Sipl7o9pDnUMzVDWvsh4y3BlbasR6himh5ncr/rlScjg2muvjYsvvjh53KuvvjqOP/745HFTqlfkTOZn9GfPnl0zeRk+kSGNqWirw9vEZNvDi6VqDwMDA3HvvfeO2N/V1RVvfetb47TTTotDDjkkFi1aFNu2bYvbb789vv/978cNN9wQg4ODEfH8Nx8///nPx5IlS+Kd73xnkrxoXFn7ol27diXJ6cX0j9NbWdtqxMiLmS94zWteE+985zvj5S9/eeyzzz6xY8eOeOCBB+LGG2+Ma6+9tua5b7rppvjkJz8Zn/nMZxrOB+rRr6aljqlVlv6YkdQx6piZqqx9kfGW4craViPUMUwP+tW01DG1ytIfM5I6Rh0zU5W1LzLeMlxZ22qEOobpYSb3qxZPAkn19fWN2DfRPwkQEVGpVGq2+/v7J50TzTX8Gy6TaQ/t7bXDVb12NhkPPPDAiEH+sMMOi8997nPxkpe8pGb/0qVL48QTT4wTTzwx1qxZE+eff3489dRTQ7dffPHFsXr16jjwwAOT5EZjytoXDT8fhrftZuREc5W1rUaM/KbjwoUL4+/+7u/ipJNOqtnf2dkZxx13XBx33HHx3ve+N84///z4zW9+M3T79ddfH3/4h38Yp59+esM5wXD6VVIpc39Mc6hjaIay9kXGW4Yra1uNUMcwPehXSaXM/THNoY6hGcraFxlvGa6sbTVCHcP0MJP7VX+2G0hqYGBgxL62tol3NcM7zRe+Vcb0M/zYTaY91HtMtVqddE4v6OnpiVWrVsXSpUujKIo46KCD4uqrrx5RqA937LHHxj//8z/X/Cx7X19fXHbZZQ3nRBpl7YuG5zU8fjNyornK2lZ7enri8MMPjwMOOCDa29ujq6sr1q5dO6JQH26fffaJK6+8Mg455JCa/V/4whf8uQiy0K+SSln7Y5pHHUMzlLUvMt4yXFnbqjqG6UK/Sipl7Y9pHnUMzVDWvsh4y3BlbavqGKaLmdyv+uVJyGDp0qVx7LHHJo87b9685DFTq7e6fGBgYMKrzod/86Ozs7OhvKhvKtrq8GNfb2K6J8O/cdDR0RFFUUwuuRdZtWpVfP3rX4+IiN27d0dfX1/MnTt3XI894ogj4uyzz47LL798aN8PfvCD+Nu//dtxxyCfsvZFw59/Mt+mGf4Y/eP0Vta2Onfu3LjqqquG8nn22Wdj4cKF437sJZdcEu95z3uG9m3cuDFuueWWeP3rX99QXjCcfjUtdUytMvTH1KeOUcfMVGXti4y3DFfWtqqOYbrQr6aljqlVhv6Y+tQx6piZqqx9kfGW4craVtUxTBczuV+1eBIyOOmkk/b4TYCZatasWSP29fb2RldX14TiKNanxlS01eFtYjLfdEnxpyb2pKura8LtdM2aNXHFFVcMfSOiv78/brnlljj55JOT58fElLUvynE+6B+nt7K21RerVCrjLtRf8Ad/8Adx+OGHxz333DO076c//alineT0q2mpY2qVrT/mf6hj/oc6ZmYpa19kvGW4srbVF1PHUGb61bTUMbXK1h/zP9Qx/0MdM7OUtS8y3jJcWdvqi6ljKLOZ3K/6s91AUvPmzRvxU7s9PT0TjrNjx46a7fnz5zeUF82zYMGCmu2Z1B4WLVoUhx9+eM2+++67r0nZ8GJl7YtynA/T4VvwjK6sbTWFV73qVTXbv/vd75qUCTOZfpVUZnJ/zOSoY2iGsvZFxluGK2tbTUEdw1TQr5LKTO6PmRx1DM1Q1r7IeMtwZW2rKahjmAozuV+1eBJIqiiKWLRoUc2+LVu2TCjG9u3bR3xjY8mSJQ3nRnPstddeNdsTbQ8REc8880zNdpnaw/7771+zPTxXmqOsfdHixYtrtrdu3TrhGE8//XTN9tKlSxvKieYqa1tNYXj/OLztQgr6VVKZyf0xk6OOoRnK2hcZbxmurG01BXUMU0G/SiozuT9mctQxNENZ+yLjLcOVta2moI5hKszkftXiSSC55cuX12w/+eSTE3r88PsvWLAgZs+e3XBeNMcBBxwQRVEMbff09Iz4RsGeDG8T++23X5LcUuju7q7ZHj5hpnnK2Bc1mlO9x+y7774N5UTzlbGtpjA8h/7+/iZlwkymXyWlmdofMznqGJqljH2R8ZZ6ythWU1DHMBX0q6Q0U/tjJkcdQ7OUsS8y3lJPGdtqCuoYpsJM7lctngSSW7FiRc32gw8+OKHHP/zwwzXbK1eubDgnmqerqyuWLVtWs2+ibeKhhx6q2S5Tm9i2bVvN9sKFC5uUCcOVsS865JBDGspp+/btNd+Ca29vHxGT6aeMbTWF4d840z+Sg36VlGZqf8zkqGNoljL2RcZb6iljW01BHcNU0K+S0kztj5kcdQzNUsa+yHhLPWVsqymoY5gKM7lftXgSSO4Vr3hFzfadd945ocfffvvtNdtHHnlkwznRXMPbxG9/+9sJPf6OO+6o2U7RJnbv3h2f+tSn4qMf/Wi8733vi1NPPTXuuuuuCccZPikY/o0LmqeMfVGjOQ0/Fw455JDo7OxsOC+aq4xt9corr4wLLrggzj777HjHO94RX//61yccQ//IVNCvklIZ+2OaSx1DM5SxLzLeUk8Z26o6hulCv0pKZeyPaS51DM1Qxr7IeEs9ZWyr6himi5ncr1o8CSR3/PHH12z/8pe/jGq1Ou7H//znP6/ZfvWrX50kL5pneJsYfozH0tPTUzMRrVQqI+JNRldXV3z3u9+N733ve3HLLbfEvffeG+vWrZtQjEceeSQee+yxmn2rV69uODfSKGNfdMghh8TSpUuHtjdt2hT333//uB//s5/9rGb7hBNOaDgnmq+MbXX9+vVx/fXXx09/+tP4/9u7+9iqCvMP4M+ltBZZgXV0dBsgswaMbEQdWzRRZzDOuU0i6qKGvTnnG5LBokKh6Co6FKkv6MQ3zBIG2ab1NbrpZhhT4zQaXqKMLUPcpg5GpVOpgiC9vz9+P/vz2BaB3vaey/l8Ev84T++5fUxOntMvee65a9eujaeeemqvzm9vb4/nnnsuUfvyl7/c477go8xVCimN85jikmMohjTOIvdbupLGa1WOoVSYqxRSGucxxSXHUAxpnEXut3QljdeqHEOp2J/nquVJoODq6upi1KhRHcctLS3x9NNP79G5GzZsSASzgQMHxlFHHVXoFuljEyZMiH79/v+Ws2LFik5fr9CdRx99NHbu3NlxPH78+Bg8eHBB+ho3blzi+OGHH96r85csWZI4HjNmTIwcObLHfVEYaZxFuVwuJkyYkKg9+OCDe3Turl274tFHH03UTjjhhB73RPGl8Vr96Hx88sknE4/S/zhPPPFEvP766x3H5eXlcfzxx/e4L/goc5VCSuM8prjkGIohjbPI/ZaupPFalWMoFeYqhZTGeUxxyTEUQxpnkfstXUnjtSrHUCr257lqeRLoFd/+9rcTxzfeeGPs2LHjY89bsGBB4tMdEydOjAMPPLDg/dG3hg0bFscee2zH8bZt2+Lmm2/+2PPefvvtuO222xK1s846q2B9TZw4MXH80ksvxe9///s9OnflypXxq1/9KlE755xzCtYbhZHGWXTGGWckjpcuXdrpE7NdWbJkSWzcuLHjuK6uzifH9iNpu1ZPOeWUxD+y7tixI2699dY9OvfNN9+MefPmdXq/D38aDQrJXKWQ0jaPKS45hmJJ4yxyv6UrabtW5RhKiblKIaVtHlNccgzFksZZ5H5LV9J2rcoxlJL9da5angT2SH19fYwZMybx3+6cddZZ8clPfrLjeO3atTFr1qzYtWtXt+c0NTXF8uXLO44POOCAOO+883rePKlw4YUXJo6XLl0ay5Yt6/b127dvj6lTpyZuoqNHj46TTjppt79nb67Vk046KQ466KBEraGhIdauXbvb3/Hiiy/G1KlT4/333++ojRs3rlP4p/j6Yhbdf//9na65jz4e/8PGjRuXeAz5u+++GxdccEG0trZ2e84f//jHaGpqStSmTp3a7espPWm7Vmtra+OUU05J1JYuXRrNzc27/f9obW2N888/PzG7q6qqYtq0abs9Dz7MXKWQ5Bh6So6hGNL2t2GE+y1dS9u1KsdQTOYqhSTH0FNyDMWQtr8NI9xv6VrarlU5hmIyV/+X5UmgV3ziE5+IGTNmJGqPPPJITJ48OVavXp2or1+/PqZMmRJ33XVXon7xxRfH5z73uV7vlb5x5JFHxqRJkxK1uXPnRkNDQ+LTCPl8Pp555pk4/fTTEzfmsrKy+OlPfxplZWUF66mioiKuvPLKxKd53n777Tj77LNj0aJFnR6JvmnTprjxxhtj8uTJsWXLlo56VVVVzJ8/v6C9URhpnUUNDQ1RWVmZ+N2nnnpqPPbYY4l/BNqyZUvccMMNMWXKlET9mGOOiW984xsF7YniSuO1Wl9fH9XV1R3H+Xw+Ghoaor6+PjZs2JB4bVtbW9xzzz0xceLEWLNmTUc9l8tFY2Nj1NbWFqwv6Iq5SqGkcR5TXHIMxZDWWeR+y0el8VqVYygl5iqFksZ5THHJMRRDWmeR+y0flcZrVY6hlOyPc7V/sRsA9l+nnXZarFu3LpYsWdJRW7VqVZx55plRU1MTw4YNi//+97/x+uuvdzr3a1/7Wpx//vl92S594PLLL49//vOfsXLlyo5ac3Nz3HfffTF8+PAYNGhQbNy4sctPJtTX18f48eML3tPRRx8dV111VcyZM6fjUevvvfdeLFy4MG655ZY46KCDoqqqKlpbW7t85PSgQYPi7rvvjoMPPrjgvVEYaZxFdXV1ce2118all17a8cfif/7zn5g2bVpUVVXFiBEjYtu2bfHaa6/Fzp07E+eOGjWq06dz2D+k7Vqtrq6Ou+++O773ve/F1q1bO+oPPJg45iwAAA9wSURBVPBAPPDAA/GZz3wmampqoq2tLV599dVO12oul4u5c+fGt771rYL2BV0xVymktM1jik+OoRjSOIvcb+lK2q5VOYZSYq5SSGmbxxSfHEMxpHEWud/SlbRdq3IMpWR/nKuWJ4Fe1dDQEAceeGDceeed0d7e3lFvaWmJlpaWLs85/fTTY+7cuZHL5fqqTfrIwIEDY/HixTF9+vR48sknO+r5fD5effXVLs+pqKiI2bNnx9lnn91rfZ1xxhlRXV0dDQ0NiX8oaG9vj1deeaXb88aOHRvz5s2LQw89tNd6ozDSOItOPvnk6N+/f9TX10dbW1tHfevWrfGXv/yly3PGjRsXixYtSnydAPuXtF2rhx12WPzmN7+JSy65JNatW5f42caNGxNfB/FhNTU1cfnll3/sV/tAIZmrFFLa5jHFJcdQLGmcRe63dCVt16ocQykxVymktM1jikuOoVjSOIvcb+lK2q5VOYZSsr/NVV/bDfS6n/zkJ3HffffFV7/61SgvL+/2dUcccUTceeedMW/evOjf3273/mrgwIFx1113xcKFC2Ps2LHdvq68vDy+/vWvx4MPPtirQf0DEyZMiEcffTSmTp0aNTU13b4ul8vFuHHjYu7cudHc3Cyol5A0zqITTzwxHn/88TjzzDOjqqqq29eNGDEi5syZE7/+9a93e32yf0jbtVpXVxf33HNPXH311TFmzJjdvnbkyJFx4YUXxmOPPSaoUxTmKoWUtnlMcckxFEsaZ5H7LV1J27Uqx1BKzFUKKW3zmOKSYyiWNM4i91u6krZrVY6hlOxPczWX/+CZ2AB9YOvWrfH888/H5s2b480334zKysqora2Nww8/PGpra4vdHkXw73//O9asWRNvvPFGtLW1RVVVVYwcOTIOP/zwGDRoUNH6evnll2Pt2rXR2toa27dvjyFDhsTQoUPji1/8YgwbNqxofVEYaZxFO3fujJUrV8Zrr70WW7ZsiX79+sXQoUNj7Nixccghh/j0d0al8VrdvHlzrF69OlpaWmLr1q0xcODAGDp0aNTV1cXo0aOL0hN0xVylkNI4jykuOYZiSOMscr+lK2m8VuUYSoW5SiGlcR5TXHIMxZDGWeR+S1fSeK3KMZSKUp+rlicBAAAAAAAAAACATPG13QAAAAAAAAAAAECmWJ4EAAAAAAAAAAAAMsXyJAAAAAAAAAAAAJAplicBAAAAAAAAAACATLE8CQAAAAAAAAAAAGSK5UkAAAAAAAAAAAAgUyxPAgAAAAAAAAAAAJlieRIAAAAAAAAAAADIFMuTAAAAAAAAAAAAQKZYngQAAAAAAAAAAAAyxfIkAAAAAAAAAAAAkCmWJwEAAAAAAAAAAIBMsTwJAAAAAAAAAAAAZIrlSQAAAAAAAAAAACBTLE8CAAAAAAAAAAAAmWJ5EgAAAAAAAAAAAMgUy5MAAAAAAAAAAABAplieBAAAAAAAAAAAADLF8iQAAAAAAAAAAACQKZYnAQAAAAAAAAAAgEyxPAkAAAAAAAAAAABkiuVJAAAAAAAAAAAAIFMsTwIAAAAAAAAAAACZYnkSAAAAAAAAAAAAyJT+xW4AACBNdu3aFZMnT45Vq1Yl6mPGjInm5uaoqKjo8e+444474oYbbkjUTjjhhFi0aFGP3xsAAMgeOQYAACglMgwAaeHJkwAAH1JWVhYLFiyIgQMHJup/+9vfOoXsffHCCy/EwoULE7XPfvazcc011/T4vQEAgGySYwAAgFIiwwCQFmWNjY2NxW4CACBNBg8eHJ/+9KfjiSeeSNTXrFkTX/rSl2LEiBH79L6tra3xgx/8INra2jpq/fv3j9tvvz0+//nP96hnAAAg2+QYAACglMgwAKSBJ08CAHRh0qRJcfLJJydq+Xw+6uvr46233trr92tvb4/LLrssNm/enKhPmzYtjjzyyB71CgAAECHHAAAApUWGAaDYLE8CAHTjyiuvjNra2kRt06ZNsS8P7r7tttvi6aefTtSOOeaYOO+883rSIgAAQIIcAwAAlBIZBoBisjwJANCNwYMHx/z586Nfv+SfTL/97W/joYce2uP3efbZZ+PWW29N1GpqauK6666LXC5XkF4BAAAi5BgAAKC0yDAAFFNZ476s6wMAZMTw4cPj3XffjVWrViXqzz77bHzzm9+MQYMG7fb8lpaWOPfcc6Otra2j1q9fv1i0aFGMHj26V3oGAACyTY4BAABKiQwDQLF48iQAwMeYPn16HHbYYYna1q1bY+bMmdHe3t7tee3t7XHJJZdES0tLoj5lypQ46qijeqVXAACACDkGAAAoLTIMAMVgeRIA4GNUVFREU1NTVFZWJurPP/98LF68uNvzbrnllnjuuecSta985Stx8cUX90qfAAAAH5BjAACAUiLDAFAMlicBAPZAXV1dzJgxo1P95ptvjnXr1nWqP/PMM3H77bcnatXV1dHU1BT9+vkTDAAA6H1yDAAAUEpkGAD6mrsFAMAemjx5chx//PGJ2s6dO+Oyyy6LHTt2dNS2bNkSM2bMSHyNRC6Xi/nz58ewYcP6ql0AAAA5BgAAKCkyDAB9yfIkAMBemDdvXnzqU59K1P7+97/HzTff3HFcX18fLS0tidece+65cdxxx/VJjwAAAB8mxwAAAKVEhgGgr+Ty+Xy+2E0AAJSSFStWxAUXXJColZWVRXNzc6xbty5mz56d+Nnhhx8ey5Yti/79+/dlmwAAAB3kGAAAoJTIMAD0hbLGxsbGYjcBAFBKRo0aFa2trfHiiy921PL5fLz00kvxu9/9Lt57772O+uDBg+MXv/hFDBkypBitAgAARIQcAwAAlBYZBoC+4MmTAAD7YPv27XHaaafFyy+/vNvX/fznP48TTzyxj7oCAADonhwDAACUEhkGgN7Wr9gNAACUosrKymhqaory8vJuX/Pd735XWAcAAFJDjgEAAEqJDANAb/O13QAA+6impiYqKirimWee6fSzww47LG666aYoKysrQmcAAABdk2MAAIBSIsMA0Js8eRIAoAeOPfbYyOVynervv/9+5PP5InQEAACwe3IMAABQSmQYAHqLJ08CAOyjbdu2xbnnnhutra2dfrZly5Zoa2uL4447rgidAQAAdE2OAQAASokMA0Bv8uRJAIB9dPXVV8f69eu7/fkvf/nL+NOf/tSHHQEAAOyeHAMAAJQSGQaA3mR5EgBgHzzyyCPR3NycqA0YMKDT62bPnh1btmzpq7YAAAC6JccAAAClRIYBoLdZngQA2Ev/+te/4oorrkjUysvLY8mSJTFixIhE/Y033ojZs2f3ZXsAAACdyDEAAEApkWEA6AuWJwEA9sKOHTti+vTp8c477yTqP/rRj2LcuHFx1VVXdTpnxYoVsWzZsr5qEQAAIEGOAQAASokMA0BfsTwJALAXmpqaYu3atYna6NGjY8qUKRERcfTRR8fZZ5/d6bzrrrsu1q9f3yc9AgAAfJgcAwAAlBIZBoC+ksvn8/liNwEAUAqWL18eF110UaJ2wAEHRHNzc4wePbqjtm3btjj11FPjH//4R+K1hx56aNx7771RUVHRF+0CAADIMQAAQEmRYQDoS548CQCwBzZt2hSzZs3qVJ8xY0YirEdEDBgwIJqamqJ///6J+l//+te4/vrre7VPAACAD8gxAABAKZFhAOhrZY2NjY3FbgIAIM127doVF110UWzYsCFRP/7446OhoaHLc4YNGxa5XC6ee+65RH3NmjVxxBFHxMiRI3utXwAAADkGAAAoJTIMAMXgyZMAAB/jlltuiRdeeCFRGzp0aFxzzTW7Pe+CCy6II444IlHL5/Mxc+bMaG1tLXifAAAAH5BjAACAUiLDAFAMlicBAHbjz3/+c9xxxx2JWi6Xi2uvvTaqq6t3e25ZWVksWLAgDjzwwES9paUl5syZU/BeAQAAIuQYAACgtMgwABSLr+0GAOhGa2tr/PCHP4x33nknUf/+978f3/nOd/boPQYPHhxDhw6N5cuXJ+qvvPJK1NTUxBe+8IWC9QsAACDHAAAApUSGAaCYcvl8Pl/sJgAA0iafz8d5550XTz31VKJ+6KGHxr333hsVFRV79X5Tp06NP/zhD4nagAED4v7774+DDz64x/0CAADIMQAAQCmRYQAoNl/bDQDQhcWLF3cK65WVlXH99dfvdViPiJg7d27U1NQkatu2bYtLL700duzY0aNeAQAAIuQYAACgtMgwABSb5UkAgI9YvXp13HTTTZ3qM2fOjEMOOWSf3rO6ujp+9rOfdaqvXbu2y98FAACwN+QYAACglMgwAKRBWWNjY2OxmwAASIu33347zjnnnHjrrbcS9QkTJsSsWbN69N6jRo2K1tbWePHFFxP1NWvWxPjx42P48OE9en8AACCb5BgAAKCUyDAApEUun8/ni90EAEBa/PjHP47HH388UaupqYmHH344qqure/z+27dvj0mTJsWGDRsS9dra2njooYdiyJAhPf4dAABAtsgxAABAKZFhAEgLX9sNAPB/li1b1ims53K5mD9/fkHCekREZWVlLFiwIMrLyxP1TZs2xRVXXFGQ3wEAAGSHHAMAAJQSGQaANPHkSQAAAAAAAAAAACBTPHkSAAAAAAAAAAAAyBTLkwAAAAAAAAAAAECmWJ4EAAAAAAAAAAAAMsXyJAAAAAAAAAAAAJAplicBAAAAAAAAAACATLE8CQAAAAAAAAAAAGSK5UkAAAAAAAAAAAAgUyxPAgAAAAAAAAAAAJlieRIAAAAAAAAAAADIFMuTAAAAAAAAAAAAQKZYngQAAAAAAAAAAAAyxfIkAAAAAAAAAAAAkCmWJwEAAAAAAAAAAIBMsTwJAAAAAAAAAAAAZIrlSQAAAAAAAAAAACBTLE8CAAAAAAAAAAAAmWJ5EgAAAAAAAAAAAMgUy5MAAAAAAAAAAABAplieBAAAAAAAAAAAADLF8iQAAAAAAAAAAACQKZYnAQAAAAAAAAAAgEyxPAkAAAAAAAAAAABkiuVJAAAAAAAAAAAAIFMsTwIAAAAAAAAAAACZYnkSAAAAAAAAAAAAyBTLkwAAAAAAAAAAAECmWJ4EAAAAAAAAAAAAMsXyJAAAAAAAAAAAAJAplicBAAAAAAAAAACATLE8CQAAAAAAAAAAAGSK5UkAAAAAAAAAAAAgUyxPAgAAAAAAAAAAAJlieRIAAAAAAAAAAADIFMuTAAAAAAAAAAAAQKZYngQAAAAAAAAAAAAyxfIkAAAAAAAAAAAAkCmWJwEAAAAAAAAAAIBMsTwJAAAAAAAAAAAAZMr/AFAl74IxkR8WAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2700x1800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, axes = plt.subplots(\n",
    "    1,\n",
    "    3,\n",
    "    sharey=True,\n",
    "    figsize=(9, 6),\n",
    "    dpi=300,\n",
    "    #gridspec_kw=dict(wspace=0)\n",
    ")\n",
    "\n",
    "plt.sca(axes[0])\n",
    "plt.imshow(\n",
    "    hm_random.T,\n",
    "    extent=(-1.5, 1.5, -1.5, 1.5),\n",
    "    origin='lower'\n",
    ")\n",
    "plt.title(\"Before Training\")\n",
    "plt.xlabel(\"X\")\n",
    "plt.ylabel(\"Y\")\n",
    "plt.xlim(-1.1, 1.1)\n",
    "plt.ylim(-1.1, 1.1)\n",
    "plt.yticks([-1.0, -0.5, 0, 0.5, 1.0])\n",
    "\n",
    "plt.sca(axes[1])\n",
    "plt.title(\"After Training\")\n",
    "plt.imshow(\n",
    "    hm_trained.T,\n",
    "    extent=(-1.5, 1.5, -1.5, 1.5),\n",
    "    origin='lower'\n",
    ")\n",
    "plt.xlabel(\"X\")\n",
    "plt.xlim(-1.1, 1.1)\n",
    "plt.ylim(-1.1, 1.1)\n",
    "\n",
    "plt.sca(axes[2])\n",
    "plt.title(\"After Training w/ DAE (L=12)\")\n",
    "plt.imshow(\n",
    "    hm_dae.T,\n",
    "    extent=(-1.5, 1.5, -1.5, 1.5),\n",
    "    origin='lower'\n",
    ")\n",
    "plt.xlabel(\"X\")\n",
    "plt.xlim(-1.1, 1.1)\n",
    "plt.ylim(-1.1, 1.1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(\n",
    "    os.path.join(\"manuscript\", \"figures\", \"fig-heatmap-dae.pdf\"),\n",
    "    dpi=300,\n",
    "    bbox_inches='tight',\n",
    "    pad_inches=0,\n",
    ")\n",
    "plt.show()\n",
    "plt.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Heatmap of Jitterbug position during 100 episodes before and after training on the task *Move In Direction*, where the direction is fixed at 45 degrees.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}