tracking-parametrisation-tuner/parameterisations/notebooks/magnet_kink_position.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uproot\n",
    "import awkward as ak\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import mplhep\n",
    "\n",
    "mplhep.style.use([\"LHCbTex2\"])\n",
    "input_tree = uproot.open(\n",
    "    {\n",
    "        \"/work/cetin/LHCb/reco_tuner/data/tracking_losses_ntuple_B_BJpsi_def_selected.root\": \"Selected\"\n",
    "    }\n",
    ")\n",
    "array = input_tree.arrays()\n",
    "\n",
    "array[\"dSlope_yEndT\"] = array[\"ideal_state_9410_ty\"] - array[\"ideal_state_770_ty\"]\n",
    "array[\"dSlope_yEndT_abs\"] = abs(array[\"dSlope_yEndT\"])\n",
    "\n",
    "array[\"dSlope_xEndT\"] = array[\"ideal_state_9410_tx\"] - array[\"ideal_state_770_tx\"]\n",
    "array[\"dSlope_xEndT_abs\"] = abs(array[\"dSlope_xEndT\"])\n",
    "array[\"x_EndT_abs\"] = abs(array[\"ideal_state_9410_x\"])\n",
    "array[\"x_EndVelo_abs\"] = abs(array[\"ideal_state_770_x\"])\n",
    "\n",
    "array[\"y_EndT_abs\"] = abs(array[\"ideal_state_9410_y\"])\n",
    "array[\"y_EndVelo_abs\"] = abs(array[\"ideal_state_770_y\"])\n",
    "\n",
    "array[\"z_mag_xEndT\"] = (\n",
    "    array[\"ideal_state_770_x\"]\n",
    "    - array[\"ideal_state_9410_x\"]\n",
    "    - array[\"ideal_state_770_tx\"] * array[\"ideal_state_770_z\"]\n",
    "    + array[\"ideal_state_9410_tx\"] * array[\"ideal_state_9410_z\"]\n",
    ") / array[\"dSlope_xEndT\"]\n",
    "\n",
    "array[\"z_mag_corr\"] = array[\"z_mag_xEndT\"] - array[\"match_zmag\"]\n",
    "\n",
    "sel_array = array[\n",
    "    (array[\"z_mag_xEndT\"] < 5700)\n",
    "    & (array[\"z_mag_xEndT\"] > 5000)\n",
    "    # & (array[\"match_chi2\"] < 5)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.hist(\n",
    "    sel_array[\"z_mag_xEndT\"],\n",
    "    bins=100,\n",
    "    # range=[5100, 5700],\n",
    "    color=\"#2A9D8F\",\n",
    "    density=True,\n",
    ")\n",
    "plt.xlabel(r\"z$_{Mag}$ [mm]\")\n",
    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-0.4, 0.4, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_tx\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(5100, 5700)\n",
    "plt.xlabel(\"dx/dz(VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-0.25, 0.25, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_9410_tx\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(4500, 5700)\n",
    "\n",
    "plt.xlabel(\"dx/dz(T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-0.25, 0.25, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_ty\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(4500, 5700)\n",
    "\n",
    "plt.xlabel(\"dy/dz(VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-0.25, 0.25, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_9410_ty\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(4500, 5700)\n",
    "\n",
    "plt.xlabel(\"dy/dz(T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABMIAAAOVCAYAAACLW0xhAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC5qklEQVR4nOz9X4xb933ve39IOYZ84lDkuNjAYAZITNaFc9WKlHqRc9UM2WzgsWA3JqUNe1sG9pMhHT/ZveCuSSvGQdMLeUJml8BBexyRSgscuQaORCa1YT+Aq6HcuwLP1gyV3hk75bIDzIDABqxZ4rZhwZbJ52I2GXL+LC6Si//fL2AQjeY7v/VdmlEsfub3+y5Xs9lsCgAAAAAAAJhz7kk3AAAAAAAAAIwDQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFsJDk24AGMTXv/513b9/XydOnNC/+3f/btLtAAAAAAAAm/7H//gf+uqrr3Ty5El99tlnY722q9lsNsd6RcABJ06cUKPRmHQbAAAAAABgQG63W1999dVYr8mOMMykVhDmdru1vLzc9+fXarWhPn9Qk7ruol57Ee95Ua+9iPc8yWsv4j1P8tqLeM+TvPYi3vMkr72I9zzJay/iPS/qtRfxnid57UW852Gv3frcEydOjKg7C01gBq2srDQlNVdWViby+YOa1HUX9dqLeM+Leu1FvOdJXnsR73mS117Ee57ktRfxnid57UW850leexHveVGvvYj3PMlrL+I9D3vtSfbNjjDMtFqtptXVVcuaZDKpZDI5po4AAAAAAFhcuVxOuVzOsqZWq42pm8MIwjDTGo2Gdnd3LWvq9fqYugEAAAAAYLHV6/Wer9MnaaJB2BNPPDHJy3dxuVz67//9v0+6DfTJzllkj8czpm4AAAAAAFhsHo9HKysrljWtGWGTMNEgrFqtyuVyqTnBB1e2ru9yuSbWAwa3vLysnZ2dSbcBAAAAAABkbzzR6urqxHaNuSdy1SkyyRAOAAAAAAAA4zPxGWHNZlPRaFR+v38i1zdNU4VCYSLXBgAAAAAAwPhMPAgrFAr6wQ9+MNEeotGovve97020BwAAAAAAAIzWxIOwcDg86RZ09uzZSbeAMUsmk6rX6ws1SH+S9zypay/iPU8aX+vFufakLOKf9yLe8yQt6p/3In5/T9Ii/nkv6rUnZVH/vBfx79Ykzep9u5oTHJLldrtlmubE/9Du3bunpaUlffXVVxPtA/a1BuutrKzM1LD8We0bs4XvM4wa32MYB77PMGp8j2Ec+D7DqM3q99gk+57osHye1AgAAAAAAIBxmWgQNk1PbJymXgAAAAAAAOC8iQZhmUxm4sciJenUqVPKZDKTbgMAAAAAAAAjNNEg7JVXXhnr9T7++ONjPzbuXgAAAAAAADBeEw3Cxi2RSEy6BQAAAAAAAEzIQgVhW1tbk24BAAAAAAAAE/LQpBsYxMcffyzTNG3XG4ahfD7f1+cAAAAAAABgvsxEEPbxxx8rk8moXC7LMIyB1mg2m3K5XA53BvQnmUyqXq9PxUMiML/4PsOo8T2GceD7DKPG9xjGge8zjBrfY/1zNZvN5qSbsHLp0iVls1lJ+2HWMFwul7766isn2sKEra6uand3V263W8vLy5a1yWRSyWRyTJ0BAAAAALC4crmccrmcZU2tVlOj0dDKyop2dnbG1Nm+qd4R9stf/lKZTEbSfojlcrmGDsMwXxqNhnZ3dy1r6vX6mLoBAAAAAGCx1ev1nq/TJ2mqg7CNjQ1Jagdgfr9fwWBQfr9fkvTYY4/1XOOTTz6RaZq6ceOG7t27N9J+MX52doSxRRQAAAAAgPHweDxaWVmxrGntCJuEqT4a6Xa723O9bt68qbW1tYHXMgxDTzzxBEcj50TraOQktlECAAAAAIDBTfI1vXusV+uT1+uVJKVSqaFCMEny+/16/PHHHegKAAAAAAAAs2iqg7DWEcizZ886sl4+n3dknWEZhqFIJGK7NpFIKBAIyOVyyefzKRQKKZFIDPwEzUnq594BAAAAAACcNNVBWGsX2N27dx1db1RM02wP9bd6CwQC7ZDPSjabVSAQUKFQaIdepmmqUqmoUCgoEAi0n6jZi8/ns9XbUW+JRGLs9w4AAAAAAOC0qQ7CfvzjH6vZbKpSqTiy3i9+8QtH1jlOoVCwXZtOpy0/HolElE6n5fV6FY1GlUqlFI1GD4VI6XRapVLJcq1SqSTTNG33dlQvvTh57wAAAAAAAKMw1cPypf1dUZlMRh9//LG+8Y1vDLXW2bNndfv2bYc6O8zn89kKnMLhsDY3N4/9eDqdbt93KpU69PFsNnsoTLL6MkYiEZXL5Z59HcfOt4hT924Xw/IBAAAAAJhNk3xN/9BYrzaAVCqlzc1NxWIxvf/++wOv89FHHzm2s+wohUJBpmkqlUr13EF15syZYz9mGIay2aw2NzcVDoePrEmlUqpWq127sCqVioLB4JHrlctl+f1+pdNphcNhLS0t9byfUCgkwzCO7aGTU/cOAAAAAAAwSlO/I6zlzJkzunfvntLptK0gR9qfLWaapqrVqm7cuCHTNPXVV1+NpL9AICBJqlarQ60Ti8V09uzZI3eCdTJNUz6fr/3+cbvHWkcnt7e320/h7MUwjPb95PN5xeNxy3qn7r0f7AgDAADzptmUGj3+Ze52SS7XePoBAGBU2BHWwwcffCBpP2ixM7j9KM1mU64R/auhVCrJMAxHnkrZ2lnVi9frld/vbw/RPy7kKhQKunXrlu0QTFLXzLHz58/3rHXq3gEAABZZoyk99Jp1zYPL0gmCMAAABjb1QdgPf/jD9hFAl8tla17VQaMKwFo2Njbk9Xp7hkZ29DM/q/NpmscdOSwWi0cembRy/fp1SfvzvHoFaE7eOwAAwCxiJxcAALNjqoOwq1evtncaDRqCSfaGvQ+qUqm0Z4/5fD75/X6Fw2FFIhFFo9GRXdc0zfZw+nA4fGzYZWfG18F1W/cTi8Usayd17wAAzBMnQxQCmclgJxcAALNjqoOwgyFYK2Txer19zwm7cuWKPv74Y8d7PPj0RsMwVCgU2rvYotGoLl261PeurF5u3LghSfL7/SoWi46t2zmAv9cur0ndOwAA88TJEIVABgAAwNpUD8t3u91yuVzyer3a2trS448/PvBapmnqsccec3RYfudQ+V7i8bhjc7Rag/KDwaCKxaL8fr8j60r7T4tsPYFye3v72LpJ3XsLw/IBAPPiq4bN8Mo93rVgn1N/7nbW+b+j0sVQf/0BADBtGJZ/DK/Xq3v37unSpUtDhWCttU6fPu1QZ/v8fr/y+Xz7yZTlcrk9vP6gQqGgra0ty3DJDsMw2rvi+h2C30vnscgLFy5Y1k7i3gEAAGbVW3d6B1hv3em9zoul/UDteWf/WQsAwMKY6p8HhkL7/1pwasfT1atXHVmnUzweVyqVUj6fV7Va1d7enjKZzJEBVaVSUSQSGfhapVJJgUBAhmG0d4Vls9khuu/WOm4pydaMr3HeOzBNWvP5AGAW2Qlb0B+7AZZV3b370svv2LveS29L9fv2agEAQLepPhpZKpV0/vx5ZbNZ/cVf/MWk2+lbqVTS+vr6oRfNmUxGqVTK1hqmaapQKCifzx+74yoajToyJ8zusUg7nLh3K61tlG63W8vLy0Ovl0wmlUwmh14H86tSqej69esqFAoKh8OOzuYDsNicPM54bXs/cOnlH86zo8gp9+5LK69Ln33Zu/bRh6XdS5Ln5OGP/e2/SP/5XfvX/Ztz0o++Y78eAAAn5HI55XK5odep1WpqNBoTORo51UGYtB/OuN1u3b59e+i1fvWrX+n73/++A13ZZ5qm1tbW2kcOpf1jmnt7e7Y+v1QqaXNzU9L+schyuXxk3bABU2uHmRNrda45zL1baQVhTvnLv/xL/eQnP3FsPYxXK6SqVCoyDKP9kAyv1yu/36+lpSUFg0FFIpEjn6Qai8VkGEZXAGyapsrlsq5fv65yudwV6joVPgOA5NxcKKcCGfTHqQDre38v3fyN/XW+94T0/n+yXw8AgBN+8pOf6K/+6q8cW48ZYUcoFov6/d//ff3jP/6j/uzP/myotTY2NsYehHm9Xm1vb7d3W0m/e4F91Avyg6LR6KFjioVCQel0uuuFeTqdVjweH3hmWL/HIu0Y9t7tcGpHmMfjcaCbwRUKBSUSib4/z4nde9L+k1n7ZRVqxmIxlUo2tiQcsLm5aft7wzRNbWxsWB4P7px7Vy6X27XBYFDhcFiBQECbm5sqlUqHnm66vr4uwzC6glwAGAWn5kK9WbEXgknSp19I1yrsKHLCux/2V//eh0f/ue993t86/dYDAOAEj8ejlZWVoddp7QibhKnfESbthwSXLl3SJ598MvAa9+7d09LSkqNPjexHpVJpzzyTpFQqpUwmM/B6hmEoFAp1hWHD7ORqhVV+v1/VanXgvo7i9L1L8/nUSNM0ZRiGNjY2LEOkcDisdDqtM2fOOPqwhNaOw4Mhaye/3690Oq1wONxzdp9pmtra2lImkzl2J6O0//1w4cIF+f1+2/eTTqePDMCi0Wh7rdZ6hmHIMAwVi0XduHHD8t6O+95vzebrvA47wgA4wcldXOwomow//r+k2338U+SPV6X/3//n8O/z9QMALBKeGnmMX/3qV5Kk3/u935PP59MTTzwx0G4l0zS7djxNQmsHSisQOG7el11+v1+3bt3qCpgGPT7auWvGqd1gnZy+93nl9XoVDAZVLBaVSCRUKBQO1YwygPH7/YrH4+2dUkfZ3t62HVZ5vV6Fw2GFw+GuXYGd8vm84vG47R5bT009+D0Uj8eVz+eP/JxWKBYOh5XP55XNZpVOp21fU9oPH4/6egDAsJzcxcWOosnwPeJM/bkn+wvCnnqyv+sCAIB9Ux2Evf7667pz53fnBZrN5sBPSWw2mwMd/3JSJBKx3BnTr2AwqGg02t49NGjA1BkSXrhwwZHeDnL63ufdcUHYIMcn++X3+xUMBg8FV9FodOAdaIlE4sje+wnByuXyoSePer1e3bp169CxRiupVErRaPTQjsq7d+8e+zlO7rwDgE5OHauTnAtkFkWzKTV6nItwu6Re/3x0KsB6ISi9+r793YEX7f+nDwAAdLDx/KHJOX/+vJrNplqnNycdZA2r8yjZ0tKSI2t2BlfHHfnqpbXDqLUjaRRGce/z7Lhjh72OI47y+sNc+6jP7SdcqlQqjoRgnf189NFHXT0M+vcHAIbh5C6uc33uEOq1o6jZ3B/kb/U2/QM2jtdo7j+kwOqtV1Am7QdYX/+avWtaBVinTkpvPG1vnSvP8KADAAAGNdVBWGsHicvlagdig75Ng84wwKkdJp0hwCBrtobXS/3tzunXKO59nh33Z7SIIaJhGFpbWzv0+8VicajgtvUwh3lTKpU4fmyBnamYNk7u4nIqkGlxKiia90DNyQDL6mEILdei9uoAAMDRpvpo5KlTpxQMBnXnzh1lMhkFg8GBggDDMPT666/r17/+tfNN9mFra6v964O7W5xw5syZvj9nHMcipdHfO5x11N+zxx57zNH17P5djsVih3ZrtWaZDcvv9yuVSg185HqcKpWK8vm8yuWyDMOQ1+vV0tKSvF6v/H5/++/v+vq6MpmMZbBdLpcVi8W0tLSkfD7v2FNcp1HrIRDFYrEdgk3LD0ekxfpa4GhOzoVqBTIv2nho7zh3FLUCNSsPLksnpnDj/1t3pIuh3nXPn+795+5UgPUcIRgAAEOZ6iBM2g9nAoGAXnnllYHXOH36tJ599tmJ76bpfCKdUy92Ond+DBIwjeNYpDSae8f8K5fLRw7ZH/apo50uXbrUDsJM05y6HYumaWp9fb09C9Dv97cfamEYhiqViiqVSteTRnsd82yFi6ZpKpFIOP6k2GlgGIZisZgMw5jqY6+L8LWANafnQo0zkJHsB0XjWqffa/byYkk64SbAAgBgnkz10UhpPzRx6qf3g+yYclLrhWoqlXJszVZI4PV6+37iY+exyPPnzzvW01FGce+Yf0cN2B9maP9RvF7vSI8FDysWi7X//uTzeVWrVRWLRRWLRW1vb6tarR4Kl3uFKZP+ocA4+P1+bW9va29vb6r/f2cRvhawNom5UHYDGbtBUa86p9aRnDtmee++9PI7vesk6aW3pfp9e7UAAGD6TX0Qdvr0acd2f/z5n/+5I+sMojW3x+v16tKlS46tu7GxIUm6evVq35/beSwyFos51tNBo7p3zLfWEcCDRvE91Pr+t3pypJXW8bZAICCXyyWfz6dIJHLkkz/7kc1m22F1KpU6MrDz+/3a3Nzs+v/JXjPC8vm8/H6//H5/e1foPJvm49iL9rXA0aZxLpRTQZHTgZNTc8verNjbhSdJn34hXTu8ObmL27V/vNPqzT3mo5/zPpsNAIBBTf3RSEl6/PHHHVnnb/7mb/TUU085slbrha9pmgqHw+0ZZkcxDEPr6+uSpFu3blnuZslms7p+/brC4bAuXbpkWZtOp2WaplKpVN+7waTuY5H9HFcc1b0DnY4LBUZxhLf1fdzv7hzTNLW2tnbo+GZrt2W5XFYmkxl4sH8r6JaO3h3XKZVK6ZNPPlE2m+0Z6IXD4YU6gjepXVeJREL5fN6yZtG+Fhic3V1crUCmV00vgwRFP/rO6Nbph51jlu9+2N+a731o3ZfL5cyMM6e+ftJsz2YDAGCUpn5HmJM6B7YPq1gstufOlMtlhUKhI1+otj62tLSkarVq+WLYNE2l02lVKhVls1n5fD6l0+kja2OxmLLZrDKZzEA75jqPRfY7s2sU9w4cdNTT/UY5Xy6VSvUV1BqGoccff/zIGWYH60KhUN9PKxxktlUrlOapkZNXKBSG3hEIDMLl2p9pZfXmshF8DBIUjXKdFqeOWe59br+nQeoH5dTXDwAAHG8mdoQd9PHHH/f1AtEwDOXzeUcHJsdisUMvcgqFgm7cuKFwOKylpSVtbW2pUqkolUr13N0lqf30t84XsdlsVoVCQeFwWH6/X5VKRVtbW+1dBH6/f6D+O49F9tppctAo7h3oZBjGkWHOtISppmm2d0VGo1FFIhGdOXNGd+/e1ebm5pFPoYxEIn39nT34/1flctnWLLNLly6N9KgzejMMo+//XwWmjVNBkZOBU7/HLM99+/iZar5H+uur33oAADC9ZiII+/jjj5XJZI6dGWRHs9mUy8EfobWCqFZfd+/ebb9wrVQqCgaDunTpksLhcF8h0Pb2tjY2Ntr32rmmtB9CFYvFoYOlzmNn/e6yGdW9Ay3H/T0PBAJj7uRord1dm5ubh/7+hMNhJRIJRSKRQ/cRi8W0vb1t6xoHA7N0Oq3z58/3/DvVOiY9jU/AXASmaU71TDLALqeCIicDJyePWZ57Urr5G/t9PfWk/VoAADDdpj4Iu3TpUnt3hVNPj3SK3+/vOf+lX16v17GHA1jZ3Nwc6vNHce9Ay3FB2DQ9Ye+oEKylNcD+YHBXqVRULpdthc9er1der7cdMpumqVAopM3NzZ67yqbt/ysXRWtmHEdT0S8n50I5xamgyMnAycm5Xi8EpVfftxesPfqwdHE6NiQDAAAHTPWMsF/+8pfKZDLtF3VO7ujCfKjValpdXbV8y+Vyk25zLqTTablcroHeQqEeU4sPOO4Y87TscLLzgAm/339kqN1P0H2w1jAMBQIBR2ZPVSoVJRKJnrvsTNNUoVBQKBTqum7r+J/P55PL5VIgEDjySKhhGEqn0+0nagYCASUSiSO/xq3rHPz+OSgSibTX63xz8vh7oVDouo7P51MoFDryHqX9P8+jZsZ19nfcn7Xdr0WLaZrKZrOKRCLtP/9Wf+l02lYQZxiGstmsAoFAV8+dX4NAINA+AozRmsa5UC8Epa9/zV6tVVDk1DqSs8csT52U3nja3jpXnjn+iCUAADgsl8v1fJ1eq9Um1t9U7whrPTHN5XKp2WzK7/crGAy2d0M89thjPdf45JNPZJqmbty4oXv37o20X4xfo9HQ7u6uZU29Xh9TN3DKtD9F78yZM7bqUqmUNjY2uoKEfobmx+NxFYvFQ5/Tehrh1atX+5qbVqlUlM/ndePGjXZPR4WLrfDr+vXrRz4MIJ1OHwqEWoFXtVpt7xY9rq5QKKhcLmt7e7vr+vF4XPF4XIlEwjLsa+1ozWazxz5QZFClUkmxWExer1dXr15tHzWtVCqKxWJKp9PK5/OHevf7/bp165bK5XJXT8cdhbX7tTioUCi054+1Hpbi9XpVqVS0sbGhbDarbDaraDR66MmrpmlqY2NDpVLpUFh21BNQW7P6Wl+rQWdSYja1gqIXS71rrYIip9aRnJ/r9fzp3n1di+7XAQAA++r1es/X6ZM01UFYpVJp7wbY3NzU2trawGulUik98cQTTrWGKeF2u7W8vGxZ4/F4xtTNfGsFFIPY2trq63OPCwSmZWdKPzvTwuGwSqXuV1qtWXp2bG5uKhaLHblGKBRSNBrV1atXe/ZkGIauX79ue9dRMBiU1+vt+rptb2+3nwRbLBYVDAa1tLTUDmCk3wU16XS6/fCAVnC4tbXV3mFkGIY2NjaO3CF31AM5jhKNRh0NwsrlcvtBA5cuXWqHYNL+n0exWFQoFJJhGFpfX+8Kmrxer4LBoO7evdu15lFf536/Fi2tYNHr9R4Kpvx+v6LRaPt7pVQqKRAIdAV2d+/eVSQSaQedLVtbW1pbW1M4HFYmk5Hf728HeqZpyjRNJRKJoY/UY/Y4FRQ5tY7Tc71aR1Lv3Zf+4Y70//1wfxeZ7xHp//Wk9MJpyTvnQ/LfuiNd7G/TNgAAPXk8Hq2srFjW1Go1NRqNMXXUbaqDMK/Xq3v37imVSg0Vgkn7LxIef/xxhzrDtFheXtbOzs6k21gIgUBgbE9tPG6358GQYRZcuHDhUIi1tbXV159lsVg8dvdTK/TI5/OWT5U8eFTTKkDqPPqZz+fbu4QKhcKRs9EymUx7/pkkhUIhxePxQ8FJOBzW1atX22FToVAYaiai0zPjes097PyaHfya9qOfr0VLoVBoh42tsOooxWJRgUCgvZsrFou1vw5+v19+v1/hcLgrCEun0yoWi11f13g8rqWlpfbXqlwu8wCGA5pNqdFjHJ/bNf4jjeP2nEO7peys4/RcL5dLOuGSlv436c//9/23efLWnd41L5b2j96y6w0A4KRkMqlkMmlZs7q6OrFdY1MdhPn9ft25c0dnz551ZD2GuwOzYdp3hPXjqMBikPtIpVKKx+NaX18/MoRJJBIqFou2nirbzxG3zrApHo8fOxstEol0HeE87v9vO3dZtXYbTWO4clxPnQ8wMAxj6OOCdj+/FZZ5vV7LwLNV29rJVy6Xj3xAQ+d9XL169civa+fXStoPcPt9yvA8azSlh16zrnlweT9omVVODfF3ah0nj1nOu3v3pZffsVf70tvSuW8v9p8XAGCxTPWw/NYuMKd2gQy7qwzAeBwXDkz77LCjHBWofPLJJwOvVSwWtb29feSOsnK5rLW1NUcDQ7shVefXrJ9ga5qesHj16lVlMhkVi8WeYZM0vmC2UCi0r2UnOIvH411fg2F23XVeb5q+VhgPp4b4O/kwADs7l5jrJb1ZsbdzTpI+/UK6dngcJAAAc2uqg7Af//jHajabRw5rHsQvfvELR9YBMFrH7TrpZ9D8tDgquLDzoA8rwWBQ29vbR+66qlQqWl9fH2r9QQy6q2uajrt6vV6lUqlDO6Gk/T9Xp/5b1K/OI6Z2d5B1/h2axb83wHFau8s++T+k//Mp6U9/Xzq7sv+//+dT0t3/Q/qP4znFP9Xe/bC/+vf6rAcAYJZNdRB26tQp/fSnP9X169f1P//n/xx6PY5GArPjuCHjs3g88iCnnr4Xj8dVrVYPhVClUmmqw49pPAp5lM4nXAaDwbHNyDuqj34d/B6bh783gPS73WWtuV7/9P+W/tuP9v/3z/93yfe/zf9cNjv2Ph9tPQAAs2yqgzBpfy5OMBhsD+wd1EcffTSxn+YD6N+FCxeO/P1pDniOczD4cSoIa63V+WTAFoL/wVUqFUUikfYDCCY9F6szxLIbih18IuU07bwDMHq+Pp922W89AACzbKqH5bdsbm7qzJkzeuKJJ5ROp20/Kezu3bsyTVPValU3btwYcZfA7KhUKtrY2FCxWJx0K8eKx+NHPk0vn88feXRtmh3cjdNrZ1G5XFY6ndb29rat9f1+f9fTGCUR/A8okUioUCgoHo8PNVvLSZ0hp90g7OB/J50MXwFMv3NPSjd/Y7/+qSdH1wsAANNmJoKwDz74QNL+oOzWk7D61Ww25WKvPCBJWl9ftx0oT4rX61U0Gj30hMRyuaxKpTKxY2r9OhiC2dld5Pf7ValUjnza33EOhoMMNu9fKwSThhsw77TW94Nk/0mbnTvACMGAxfNCUHr1fXsD8x99WLo4G/9JBQDAEVN/NPKHP/yhIpGI7ty5I5fLpWaz2fcbgN9pBUmRSOTYGqePUQ263nFhxFE7xYY1qhlKW1tbXe/bCfNbwcWgwb/Ue9fZPHDy+7RSqbRDML/fP1VzzA4eE271aaXzCauztoNynrx1Z9IdYFGdOim98bS92ivPSJ6TI20HAICpMtVB2NWrV5XP59th1qChFmEYsM80zfbxuX5fHH/yySeO9mInxPD7/UeGYeVyWdls1rFeDMNQKBQaKng6zsEn/tn9c/f7/TIMw3bod3AH2HEz1mbBwd2Kx4WUTu5665w9Z7XuJIbOR6PRrmDOzvy3zvu5dOnSKNpaeHZCrhdLhGGYnOdP9665FrVXBwDAPJnqo5Gtf+y3doKFw2FFIhF5vd6+54RduXJFH3/88Qi7BZwzihfbpmlqbW2tfayq3+NSTvdkd71UKqXNzc1DQ/LT6bSCweDQg8zL5bIikcixoduwOo929jPAvhWEZbNZBQIBxeNxy/rOtf1+v1KpVP/NHsHu16mzrtfn9Pr4wd1shULh0P0cFRLevXvXsZ1cpVLpUGh51PUOOvj3yjCMrt+zc6zxKJ0z4AzDsDw2W6lU2kcpM5nMVO1umxf37ksvv2Ov9qW3pXPfZscNptNzhGAAgAU01UFYpVKRy+WS1+vV1taWHn/88YHXWl9f12OPPeZgd8DoHLcjZdAX+uVyWYlEor3u+fPn+77+MMfQht25s7m5qVgsdmheWCQSUSaTGSj0MU1T6XRahULh2CcvWn2uHYVCoX3v/T59sDM8SSQS2t7ePjbUKBQKXTvkOnehHaXzazmJHU6djrt+OBxuh5/pdFrValWxWEymaWpzc1OFQqH9fdFa42Do1HLwe/eoMOpg+BaLxZTJZBQMBlWpVJTP5xUMBtsBpfS78HFzc1OXLl06MmBOJBIqFou6e/euMpmMAoFA1/er3a9FNBpVJpNph3GxWEwfffTRofswTVPr6+uS9r/njvu7Yffr3vl3d9LfK9PkzYq92UuS9OkX0rWK9KPvjLYnAAAA2NScYj6fr+l2u5s/+9nPHFkvFAo5sg4mb2VlpSmpubKyMulWRiIejzclHXoLh8PNarXa8/P39vaam5ubzVQq1fT7/YfWKRaLx35utVo98tqSmnt7ewPdTzAYPHK9fD7f1zqpVOrIdYLBYHNzc9PWGnt7e81MJtP0er3tP9Ne93Xwul6vt+d1Ov8cw+Gwrd465fP5I+81Go02U6lUM5/PN+PxeNfX1+73x8Gvx3HfD3t7e4f+nI8TjUZtfW03Nze76uLx+LHXbn2NDr55vd7217uzJhgMNqvV6qGvp93eDtZ1vmUymWazefTfzWg02rXOcd+nR92r3a9FS7FYbN+z1+tt5vP5ZrVabVar1WY+n29/P7T6PYrdr8HBukG+j+fVn/5ds6lX7b997+8m3TEW0YOven9vPvhq0l0CABbVJF/TT3UQFg6Hm263u/nLX/7SkfUqlYoj62Dy5jUI297etnwx7tTbUcHP3t5eM5/PHxs+SGr6/f5mPp+3HYhtb283w+GwZS+pVMpWeNOyubl5bLDm9Xqb0Wi0mc/nm5ubm83t7e3m5uZmM5/PNzOZTNfneb3enqFDy1HhoN/vPzZ86wwrDoYk/dxnq8disdiMx+PNcDjcDAaDXV+j1j33CgJb31vHfX2DwWA7PLGq9fv9zWg02v4eOBjGHQxOWmtubm4e+73g9/uPDGP29va61g8Gg81UKtVV0/q9g99De3t7Pe/3qGtmMpn29fx+fzOVSnV9v+/t7bXvo/PP7KDOEDoYDHZ9r/XztThOPp9vhsPhrlCs9XnH/f20+vvY+TWoVquWdb16m2aNxv4Lf6u3RqP3Omf/tr8g7I//dvT3BhxEEAYAmGaTfE3vajand5J8qVTS+fPnlc1m9Rd/8ReTbgdTZHV1Vbu7u1pZWdHOzs6k2xlaoVAYyaD2owSDQW1vb3f9nsvl6nsdr9ervb29Iz921DFGOzY3N20fHyyVStrY2GjPQrLL7/crkUgoHo/3dcy0NZPq4H15vV6dOXNGXq9Xpmlqa2urffSuWCwOPcMMgHO+akgPvWZd8+CydKLHo4S+9/fSzd/Yv+73npDe/0/26wEnOPX9LknNptTo8YrB7ZIG+OcEAGBBTfI1/VQHYZIUCoXkdrt1+/btodf61a9+pe9///sOdIVJa/2lcbvdWl5etqxNJpNKJpNj6gzjZpqmyuWyrl+/LsMwZJpme66R3+9vz206e/asotFo3w8J6HW91jVb1zlz5oxisRgBGDCFnAoG/vZfpP/8rv3r/s05ZoRh/JwMr5wM1QAA8y+XyymXy1nW1Go1NRqNiQRhUz0sX5KKxaJ+//d/X//4j/+oP/uzPxtqrY2NDYKwOdNoNLS7u2tZU6/Xx9QNJsHr9SoajR56wt+8XA/A9HkhKL36vr2B+Y8+LF0M9q4DnOZySSfYoQUAmIB6vd7zdfokTX0Q5vf7deXKFf3gBz8YKgi7d+9e30eoMP3s7AjzeDxj6gYAsAhOnZTeeFp60cYJ8CvPSJ6TI28JAABgang8Hq2srFjWtHaETcJUB2G/+tWvJEm/93u/J5/PpyeeeGKgXRimaerGjRtOt4cpsLy8PBczwgAAs+X5072DsGvR/ToAAIBFYmc8UWvc0SRMdRD2+uuv686dO+33m82mstnsQGs1m82BBoIDAAAM4jlCMAAAgKkz1SMtz58/r2azqdY8f4IsAAAAAAAADGqqg7BEIiFpPwBrBWKDvgEAAAAAAGCxTfXRyFOnTikYDOrOnTvKZDIKBoNaWlrqex3DMPT666/r17/+tfNNAgCAufHWHeliaNJdAAAAYFSmOgiTpAsXLigQCOiVV14ZeI3Tp0/r2WefHShEAwAA8+GtO71rXixJJ9wMuQf6RYgMAJgVUx+EhcNh3b5925G1zpw548g6AABgtty7L738jr3al96Wzn1b8pw8vsbtkh5ctl7HzWhTzAlCZADAPJnqGWHS/m6uTCbjyFpOrQMAAGbLmxXpsy/t1X76hXStYl3jcu2/6Ld64xk/mAf9hsj1+yNtBwCAoU19ECZJjz/+uCPrnD7Nj6gAAFhE737YX/17fdYD88rpEBkAgEmbaBA2TcPrp6kXAADgrL3PR1sPzCtCZADAvJloEBYKhVSv1yfZgiTp3r17CoWY7gkAwLzyPTLaemBeESIDAObNRIOwZrM5yct3maZeAACAs8492V/9U33WA/OKEBkAMG8mGoS5pmiK7DT1AgAAnPVCUPr61+zVPvqwdDE42n6AWUGIDACYN+wIAwAAc+/USemNp+3VXnlG8pwcaTvAzCBEBgDMm4cm3cBHH32kP/zDP5xoD1tbWxO9PgZXq9W0urpqWZNMJpVMJsfUEQBgWj1/WnqxZF1zLbpfB2BfK0Tu9XdHIkQGAOzL5XLK5XKWNbVabUzdHDbxIGx9fV2vvvqqvF6vlpaWxnrtu3fvyjAMpVKpsV4Xzmk0Gtrd3bWsmYYHMgAAZsNzhGDAIYTIAIB+1Ov1nq/TJ2niQdj29rZisdhEe2g2m8wIm1Fut1vLy8uWNR6PZ0zdAAAALCZCZABAi8fj0crKimVNrVZTo9EYU0fdJh6EtUxqXhgB2GxbXl7Wzs7OpNsAAAAAAACyN55odXV1YrvGJh6ETXpg/qSvDwAAAAAAgPGYaBC2t7c3ycsDAAAAAABggUw0CDt16tQkLw8AAAAAAIAFMvGjkQAAAFaaTanRY5KB2yUx9hMAAAC9EIQBAICp1mhKD71mXfPgsnSCIAwAAAA9EIQBAICF4HbtB2a9agB04+8OAGCeEIQBAICF4HKxawwYBH93AADzxD3pBgAAAAAAAIBxIAgDAAAAAADAQiAIAwAAAAAAwEJgRhgAAACAsWg2958Ea8Xt2p9LBgDAKBCEAQAAABiLRlN66DXrmgeXGc4PABgdjkYCAAAAAABgIRCEAQAAAAAAYCFwNBIzrVaraXV11bImmUwqmUyOqSMAAAAAABZXLpdTLpezrKnVamPq5jCCMMy0RqOh3d1dy5p6vT6mbgAAk/LWHeliaNJdAAAAoF6v93ydPkkEYZhpbrdby8vLljUej2dM3QAARuGtO71rXixJJ9zS86dH3w8AAACO5/F4tLKyYllTq9XUaDTG1FE3V7PZ7PEA49lz7949vfrqq/r5z38+6VYwIqurq9rd3dXKyop2dnYm3Q4AYETu3ZdWXpc++7J37aMPS7uXJM/J0fcFYDBfNWw+NZJJxgAw1yb5mn4u/xNjGIYKhYJ++9vf6oMPPuBoHAAAM+rNir0QTJI+/UK6VhltPwCmR7O5H6xZvc3fj/wBAMOayyCsXC6r2WzK7/crEonI5/Ppxz/+8aTbajMMQ5FIxHZtIpFQIBCQy+WSz+dTKBRSIpGQYRhT06ckZbPZ9p+3y+VSIBBQLBZTuVweYZcAgHn27of91b/XZz2A2dVo7u8us3prEIQBAA6YuyDs1q1bSqfTkqRms9l+y2QylmHYD3/4Qz3xxBM6e/asfvzjHw+0i8w0Tblcrp5vgUBAfr+/53rZbFaBQECFQqEdepmmqUqlokKhoEAgoGw2O/E+y+WyfD5f+8+9WCyqWq0qk8moUqkoEokoEonINM2+ewUALLa9z0dbDwAAgMUyd8Py0+m0otGoLly4oGAwKMMwdPPmTf3sZz9TJpNRIpHQN7/5za7PeeKJJ2QYhlrj0ra3t1UsFrW9vd3XoPVCodBXn1YikYjK5bK8Xq/C4bD8fr8Mw1ClUunaCZZOp+X3+xWNRifSZ7lcbu8ai8fjyufz7Y+1+gqFQiqXywqFQtre3pbX67V9fQDAYvM9Mtp6ANOHp8ACAEZp7naESdKNGzf07LPP6vHHH9fa2poymYzu3r2rb33rW4eCnR/+8IeqVquS9kOfRqOhu3fv6rvf/a7W19f7uu7GxoatulawdZx0Oq1yuaxMJqO9vT0Vi0VlMpmunVadYrHYRPo0TbN9bb/f3xWCdSoWi5L2j1r22ysAYLGde7K/+qf6rAcwXnafAmunDgCAQczdjjCXy3Xk73u9Xm1vbx+aeZXP5+VyuRSNRtsBkdfrVT6f15/+6Z/q448/1re+9a2e1y0UCjJNU6lUqudcrTNnzhz7McMwlM1mtbm5qXA4fGRNKpVStVrt2tlVqVQUDAbH1qe0H8C1jjta7Rxr7QwrlUoql8sqFAqKx+M9ewUA4IWg9Or79p8aebH3fwoBTMi9+9LL79irfelt6dy3eQosAMB5rmZzvp6l8qd/+qf63ve+p//yX/7LsR+/efOmJOnq1atKJBJyuVyqVquHAq9bt27po48+0g9+8IOe1w0EApLU3l02qFgsprNnzyqVSlnWmaYpn8/Xfj+TyfT8HCf7NAyjvZYk7e3tWR55LJVK7d1gXq9Xe3t7Q11/ko9aBQCM17Xt/R0ivfzDeen506PvB8Bg/vZfpP/8rv36vzkn/eg7x3/8q8b+QHwrDy5LJ+byDAwAzLZJvqafu/8spFIpvfLKK3r55ZePHHjfGcC0doOFw+Ejd32dOXPGVmBUKpVkGEbPeVp2tHZr9eL1eruOLdqZu+Vkn53HM8PhcM/rd84wM01TpZKNVzQAAMheuHUtSggGTDueAgsAmAZzdzQyHA5rfX1dV65cUT6fVzQa1dmzZyVJ169fV7Va1fe+9z0Fg0FVKhW5XC4lEokj1zp16lTXYPrjbGxsyOv16vz580P3v7m5abv27t277V/3OsYoOdtn57FMO0cyJbUH/kv7X4t+BvwDAGDlOUIwYOrxFFgAwDSYuyBM2t/pdffuXf3yl79UqVTq2n20tbWl119/vWtH03FBzp07d7S0tGR5rUqlokqlIkny+Xzy+/0Kh8OKRCIjDXpM02zP5wqHwz3DKCf7bK3T0goae2k9xVMSO8IAAAAWDE+BBQBMg7k7GtlSLBZ15coVra2tqdls6tSpU7px44ZOnz6tYrGoZ599Vl6vV1euXDl2R1ihUOiag3WUg8cMDcNQoVBQLBaTy+VSLBY7FBw54caNG5L2d1m1nso4rj7L5XLX+1ZPlrSqG8WfCwAAAKYTT4EFAEyDuQ3CJCkej+vmzZtqNBq6e/eunn322fbHisWi7t69q/X1da2vr+vs2bP613/9V0lSvV7Xq6++2vPphoZhHAqFDiqVSgqFQseGbYMwTVOJRELBYFCbm5s953M53eft27e73rczn0ySHnvssa73t7a2bH0eAGD2NJv7g6yt3ubrcT0AenkhKH39a/ZqeQosAGBU5vJoZL+i0agMw9Dp06flcrnav//Tn/5UHo/n2M/z+/3K5/MyTVPValXlcvnYmWKFQkFbW1va3t4eqlfDMBSJROT1enXr1i1bIZTTfR783EF3hA375EoAwPRqNG0+zc1lXQNgfpw6Kb3xtL2nwF55RvKcHHlLAIAFRBD2v6RSKfn9fhUKBXm9Xl24cKFrB9lxDu4YM01ThUJBGxsb7RleLZVKRZFIpK+B+J1KpZJisVj7fZ/Pp0wmY+spk072aecBAnYcvO4garWaVldXh14nmUwqmUwOvQ4AAACO9/zp3kEYT4EFgOmVy+WUy+WGXqdWqznQzWDmLgj74IMP9N3vfrdn3a9+9SuFw+GuHV/RaHToAfder1epVEqpVEqlUknr6+tdgU+5XFY2m7UVXkm/C6zy+fyRAVQ6ndbt27dtzQlzqs9BA6yDu9c6n3o5qEajod3d3aHXqdfrQ68BAACA4fEUWACYXvV63ZHX4JM0d0FYNBrVvXv32k9EDIfD+qM/+qNDdWtra/rBD36gbDarb33rWyPrJRwOa21trWsw/MbGhu0grFwuq1qtKhwOHzvrq1Qq9RWujaLPQTixI8ztdmt5eXnodayOwAIAAGA2vXVHuhiadBcAMD88Ho9WVlaGXqdWq6nRaDjQUf9czeZ8jaqNRCK6detW16wvr9erM2fOHArGWoFZqVTSN7/5zZH2FQqFukKmzc1NhcPhgdYqFApKp9OHgqS9vT3bg+uPY6dPn8/XdW2730LlclmRSKT9fjQa7XsnW8vq6qp2d3e1srKinZ2dgdYAAIzOVw2bM8JsPLbHybUATJaTf5+vbdubN/YP5zlqCQDTZpKv6efun4ylUknhcFinT5/W448/rmazqb29PW1ubiqdTisUCunEiRP69//+3+unP/2p9vb2HH2i43GuXr3a9f6gc8Kk/Xlf29vbh0KvQqEw8JotdvpcWloa+jpOrgMAAIDFcu++9PI79mpfeluq3x9pOwCAGTJ3RyPj8bgKhULXccdbt27pxo0bXSHPzZs3tbm5qWazqY8++mjkfQWDQYXD4fbRxmEHzvv9ft26dUuh0O/2et++fXuoNSV7fQ666+zgDrZhd68BABaD27W/Q6RXDYDF8WZF+uxLe7WffiFdq0g/+s5oewIAzIa52xHWbDYPzfxaW1tTPp/X3t6eXnnlFQWDQWUyGT377LMKBoP66U9/OpbeOo8FOiEYDHYN93fqaY69+jxz5kzX+3ZnfR0cjh8IBPrqCwCwmFyu/WNSVm8ugjBgobz7YX/17/VZDwCYX3MXhN27d+/Yj506dUqZTEbFYlG3b99WNpvV1taWXnnllbH05vf727926ljghQsX2r92Yvi81LvPzl1okv0Arlqtdr0/6Iw0AAAALLa9z0dbDwCYX3MXhD3++OP667/+6541N27cUDwe129/+9sxddYdMDl1LDAYDDq+Zq8+D+4IsxuEdQZ1Xq+36zoAAACAXb5HRlsPAJhfcxeEpVIpvfLKK/rHf/zHnrU3btxQOBxWvV4fQ2fS1tZW+9dOH5OUDgdUg+rVZzAY7ArI7M4m61zXqV4BAACweM492V/9U33WAwDm19wFYX6/Xz/96U8VjUb18ssvW9Z6vV6dPn1ar7766lh66zwa6NSxwM7dWE6Fa3b6PH/+fPvXlUrF1rqddel0esDuAACj0mxKXzWs35rNSXcJYJa1Hn5h9Wbn4RcvBKWvf83eNR99WLoY7F0HAFgMcxeESfu7wr7//e/rypUr+r3f+z399V//9bG7vpaWlnT9+vWx9FUqldr9OaUVLnm93q7B+cOw02cikWj/uvWESSudNX6/n/lgADCFGk3podes3xoOBmFv3XFuLQCzwamHX5w6Kb3xtL1rXnlG8pwcqm0AwByZyyBMkorFotbX13X37l2lUin5fD5duHBBv/jFL/TrX/9av/71r3Xp0iUVCgXHhsxbKZVKMgxDXq9Xly5dcmzdjY0NSdLVq1cdWc9un8FgsCvMaoVnxykWi+1fsxsMAOafnZDrxRJhGIDBPX+6d821qL06AMDimNsgTJLy+bxu3Lghj8ejZrOpUqmkRCKhUCikUCikbDYrqXvgvF3lclk+n08ul0uRSMTyeKBhGFpfX5ck3bp1y3KofTabVSgUUjqd7hnQtWpSqdSxu8FG1ae0/+fb0grkjmKapgqFgqT9o5bxeNxyXQDAbLt3X3r5HXu1L70t1e+PtB0AC+w5QjAAwAFzHYRJUjQa1d7enn7605/q1KlTajabXW9er3eg3VTFYrEdVJXLZYVCoa7jgi2tjy0tLalarVqGbqZpKp1Oq1KpKJvNyufzHbt7KhaLKZvNKpPJKJPJjLXPFr/f397p1er5KGtra5L2j2927gwDAMynNyvSZ1/aq/30C+mavVGTAAAAwNBczeZijb29c+eODMOQYRjtWVWnTp3qe51yuXzkcHqv16twOKylpSVtbW2pUqkolUrp0qVLPXdYSVIgEOgagN+5pt/vV6VS0dbWlsLhsDKZjPx+/0T6PHiNWCwm0zQVjUZ16dIl+f1+bW1ttYO9YDBoa5eZXaurq9rd3dXKyop2dnYcWRMAFt1Xjf05YFYeXN6f4WPle38v3fyN/et+7wnp/f9kvx4AJOf+PwsAMH6TfE3/0Fiv5qAf/vCH+vnPf973550+fVqnTw+/RzocDqtarSqTyahcLuvu3bvtnVet4OfSpUsKh8N9hT/b29va2NhQuVyWYRhda0r7O8GKxaLtNUfV58Fr7O3tKZvN6vr161pbW5NpmvJ6vTpz5oyKxaJjg/wBANNv7/PR1gMAAACDmtkdYY899pg+/vhjfeMb35h0K5iAWdkR1mz2fsKa22Xv6UgAMGrsCAMwS9gRBgCzix1hA9jb29O3vvUtnT9/XrFYTN/97ncn3RImoFaraXV11bImmUwqmUyOqaNujabNf6ARhAGYI+ee7C8Ie+rJ0fUCAACA8crlcsrlcpY1tVptTN0cNrNBmPS7pxF2PpEwEokoGo3qW9/61mSbw1g0Gg3t7u5a1tTr9TF1AwCQpBeC0qvv2xuY/+jD0sX+H94MAACAKVWv13u+Tp+kmQ7CJKnzZGe5XFa5XFY6nZbX69X58+cViUT0/e9/33KNX/ziF/rBD34w6lYxAm63W8vLy5Y1Ho9nTN0AACTp1EnpjaelF0u9a688I3lOjrwlAAAAjInH49HKyoplTa1WU6PRGFNH3WZ2Rlg2m9Wrr74ql8slv9+varV6qMbVMXgpGAzqwoULCofD+qM/+qOuugsXLuj69eujbhkOmpUZYcyuADBLnPz/LDtrXYtKL4Ts9wcAnfh3FgDMLmaEDSCVSikcDisWi+nu3bsqlUpqNpv6f/6f/0e3bt2SaZpdu8UqlUr7yYter7d9jFKSSiUbP7IGAACOem74hzgDAAAAfZnZIEza3+VVrVaVTqcVi8WUSCRULBYlSR999JFKpZI2NzdVLpe7QrG9vT2VSiUCMAAAAAAAgAUyFxuFM5mMbt++rZs3b+oP/uAP9K//+q96/PHH9corr+jmzZtqNBra3NxUPB6X3++XtD9brPUGAAAAAACA+TfTO8I6BYNB/du//ZsSiYSCwaDS6bRef/319sfX1ta0trYmSbp3755u3LihYrGocrk8qZYBAAAADMjt2p8B1qsGAIBOc7EjrFM+n9c//dM/6cqVK+3dYQedOnVK6+vrunnzpm7evDmBLgEAmE1v3Zl0BwCwz+XaH4Rv9eYiCAMAHDB3QZgkhcNhGYahP/zDP1QwGNRf//VfW9a2dooBALDI7IRcL5YIwwAAADC75jIIk/afDFksFnX9+nW98sor+uM//mP99re/PbI2FouNuTsAAKbLvfvSy+/Yq33pbal+f6TtAAAAACMxt0FYSzQa1d27d3Xq1Cn5/f4jd4etr69PoDMAAKbHmxXpsy/t1X76hXStMtp+AGBcmk3pq4b1G8/XAoD5MTfD8q14vV5tbm4qm83qlVde0fXr11UsFvXNb35z0q0BADAV3v2wv/r3PpR+9J3R9AIA49RoSg+9Zl3z4LJ0gnljADAX5n5HWMvHH3+sM2fOKJVKaWtrS36/X3/3d3836bYAAJgKe5+Pth4AAACYBnOxI+zjjz+WYRgyTVOGYaharcowDBmGobt378o0za56l8ulZrOpeDyuYrGoYrGob3zjG5NpHgCAKeB7ZLT1AAAAwDSY2SDs7Nmz7fDLStPiQH+z2dTNmzf13e9+V7dv33a4QwAAZse5J6Wbv7Ff/9STo+sFAAAAGJWZDcK2t7fbO7useL1e+f3+9lsgENDS0lL7/VOnTo2pYwAAptcLQenV9+0NzH/0Yeli0LrG7dqfqdOrBgAAABinmQ3COvl8Pp0/f74r8CLkWgy1Wk2rq6uWNclkUslkckwdAcBsOnVSeuNp6cVS79orz0iek9Y1LheDpQEAABZRLpdTLpezrKnVamPq5rCZDsKeffZZGYahSqWiQqGgaDQqn88nn89HCLYgGo2Gdnd3LWvq9fqYugGA2fb86d5B2LXofh0AAABwlHq93vN1+iTNbBAWDod148YNSdK9e/e0ubmpGzduKJVK6d69e/L7/QqHwzp//rz+5E/+xHKtDz74QN/97nfH0TYc5na7tby8bFnj8XjG1A0AzL/nCMEAAABgwePxaGVlxbKmVqup0WiMqaNuMxuERSKR9q9PnTqlaDSqaDQqSapUKrp+/bpu3bqlfD4vl8ulYDCo//Af/oPW1tb0R3/0R11r5fN5grAZtby8rJ2dnUm3AQAAAAAAZG880erq6sR2jc1sEPbKK68c+7FgMKhgcH+Kb+duscuXLyuVSsnr9SocDuvs2bOSpFLJxkAUAAAAAAAAzLSZDcLsOm632C9/+UsVi0W5XEzyBQAAAAAAWATuSTcwbsFgUJlMRv/2b/+mra0tjkQCAAAAAAAsiIULwjoFg0Ftbm7q9Gkm/wIAAAAAAMy7hQ7CWjKZzKRbAAAAAAAAwIgRhElaW1ubdAsAAAAAAAAYsZkIwv7rf/2v+uCDDybdBgAAAIAF9NadSXcAAHDKTARh/+2//TdFIhH93d/93VDrXL16VSdOnNAf/MEf6F//9V8d6g4AAADArLITcr1YIgwDgHkxE0GYJDWbTcXjcf34xz8eeI10Oq1ms6l/+7d/UzAY1Mcff+xcgwAAAABmyr370svv2Kt96W2pfn+k7QAAxmBmgrCWmzdv6sKFCwN97uOPPy6/3694PK719XWl02mHuwMAAAAwK96sSJ99aa/20y+ka5XR9gMAGL2HJt1Av7a2thSLxXT27Fl98MEH+sY3vmH7c7e3t7vef+KJJ5xuDwAAAMCMePfD/urf+1D60XdG0wsAYDxmLgiTpGKxqGw2q2AwqHK5rG9+85t9r/HRRx/p7t27I+gOAIDZ5HZJDy73rgGAebH3+WjrAQDTZ+aORrakUin9/Oc/VzAY1D//8z/39bn37t1TJBLRmTNnRtQdAACzx+WSTrit31wEYQDmiO+R0dYDAKbPzAZhkhQOh3X79m2tr6/bfqLkBx98IL/fr48++kixWGzEHQIAAACYVuee7K/+qT7rAQDTZyaPRnby+/3a2trS+fPnVa1W9frrrx9b+7Of/Uyvvvqqms2mfD6ffvCDH4yxU4xCrVbT6uqqZU0ymVQymRxTRwAAAJgVLwSlV9+3NzD/0Yeli8HR9wQAsy6XyymXy1nW1Gq1MXVz2MwHYZLk9Xp18+ZNvfTSS7pw4YKuX79+qObSpUvKZrNqNptyuVzKZDIT6BROazQa2t3dtayp1+tj6gYAAACz5NRJ6Y2npRdLvWuvPCN5To68JQCYefV6vefr9EmaiyCs5cqVKyoUCoeeKHnr1i1lMhm5XC65XC4Fg0F2g80Jt9ut5eVlyxqPxzOmbgDAnmZTajSta9wu5nEBwDg8f7p3EHYtul8HAOjN4/FoZWXFsqZWq6nRaIypo24zF4T98z//s/7kT/7k2I/H43GdOXNG3/3ud1UqlfTNb36zvfuL3WDzZ3l5WTs7O5NuAwD60mhKD71mXfPgsnSCIAwApsJzhGAAYJud8USrq6sT2zU2E8PyH3/8cUn7QVY8Htdvf/tby/pgMKjr16/r2Wef1a9+9SuVy2W5/teP1YPBoL773e+OvGcAAAAAAABMl5kIwjKZjPb29lQsFrW2tqZwOKxf/OIXlp/TGqJ/5cqV9u+5XC5duHBh1O0CAAAAAABgCs3M0chTp07p2Wef1bPPPtvX5928eVPpdFo/+9nP2vPBAAAAAAAAsHhmYkfYsDKZjG7cuKFms6mPPvpo0u0AAAAAAABgAhYiCJOkaDSqra0tXb9+fdKtAAAAAAAAYAJm5mikE4LBoG7evDnpNgAAcEyzuf8USitul+TiCZQAAADAYgVhAADMm0ZTeug165oHl6UTBGEAMHL8cAIAph9BGAAAAAA4gB9OAMD0W5gZYQAAAAAAAFhsBGEAAAAAAABYCARhAAAAAAAAWAgEYQAAAAAAAFgIDMsHAAAAsLDcrv0B9r1qAADzgSAMM61Wq2l1ddWyJplMKplMjqkjAAAAzBKXi6c4AoCTcrmccrmcZU2tVhtTN4cRhGGmNRoN7e7uWtbU6/UxdQMAAAAAwGKr1+s9X6dPEkEYZprb7dby8rJljcfjGVM3AAAAAAAsNo/Ho5WVFcuaWq2mRqMxpo66EYRhpi0vL2tnZ2fSbQAAAAAAANkbT7S6ujqxXWM8NRIAAAAAAAALgSBsAgzDUCQSsV2bSCQUCATkcrnk8/kUCoWUSCRkGMZA169UKl1rulwuBQIBpdNpmaY50Jp29XPvAAAAAAAATiIIc5Bpmu1gyeotEAjI7/f3XC+bzSoQCKhQKLRDL9M0ValUVCgUFAgElM1m++ovFospFAp1rSntB1TZbFY+n0+FQmHi9w4Ai+6tO5PuAAAAAJg/zAhzUD8BUjqdtvx4JBJRuVyW1+tVOByW3++XYRiqVCpdAVY6nZbf71c0GrVczzRNhUIhW7vIEomEtre3lc/n7d2MnL13AJh3dkKuF0vSCbf0/OnR9wMAAAAsCnaEOWhjY8NWXSvYOk46nVa5XFYmk9He3p6KxaIymYyKxaKq1aoymUxXfSwW63nNWCwmwzAUDAbb61SrVRWLRaVSqUP1hUJBpVLJ1v1Izt07AMy7e/ell9+xV/vS21L9/vDXZHcZAAAAsI8dYQ4pFAoyTVOpVKrnDKwzZ84c+7HWEcXNzU2Fw+Eja1KplKrVatcurEqlomAweGxv5XJZqVTqUIjW2k2WSCQUi8VUqVTaH1tfX++506y1vhP3DgCL4M2K9NmX9mo//UK6VpF+9J3ja9hdBgAAANjnajabzUk3MQ8CgYAkqVqtDrVOLBbT2bNnj9yl1ck0Tfl8vvb7mUzm2M9pzeXa3Ny0XNMwjPZ9tFgFcp3rS8Pfez9aj1pdWVnRzs7O2K7br68a0kOvWdc8uLz/AhXAYvje30s3f9NH/RPS+//p6I/duy+tvG4vWHv0YWn3kuQ5af/aAID+2Pm33/8dlS6GxtMPAEyrSb6m5+W3A0qlkgzDcGT2VWtnVS9er7friKHX6z2yrjVTrFgs9lzT7/cf2jHWuUPsKE7eOwAsgr3PnasfZHcZAGB07O7S5cg6AEwOQZgDNjY25PV6df78+aHX6rVrq9Pdu3fbvz7uyOH169cVj8ePDcoOOrj765NPPrGsd/LeAWAR+B5xrv7dD/tb670+6wEA9k1iBiQAoH8EYUOqVCqqVCrto4qBQECJRKKvQfODME1TpmlK2g+vjpsPduHChUO7vKwcXOfgUclOk7p3AJhl557sr/4pi3ond5cBAIbDLl0AmA0EYUM6eCTQMAwVCgXFYjG5XK5DA+idcuPGDUn7xxmtjj0Gg0Hbu8EktcO1ll5Pt+w0rnsHgFn2QlD6+tfs1T76sHTx6J9zSHJ2dxkAYDjs0gWA2UAQNgTDMFQuly1rSqWSQqGQEomEY9c1TVOJRELBYFCbm5t9BV29GIbR9f5xg/Inde8AMOtOnZTeeNpe7ZVnrIfbO7m7DAAwHHbpAsBsIAgbgt/vVz6fVyaTUTwet9w9VSgUFAoN/3gYwzAUCoXk9Xp169Yty2sOYmtrq/3reDx+bN0k7h0A5sXzp3vXXIv2rnNydxkAYDjs0gWA2eBqNpvNSTcxT0zTVKFQ0MbGxqFjhtL+Dqt+BuJ3KpVKisViXb+XyWRsPWXSrlAo1D7OWK1W+wraRnnvB7Uetep2u7W8vDz0eslkUslk0oHOutl5hPaDy9IJImlgoTj5/w3XtvefQNbLP5y3F8ABAAbzt/8i/ed37df/zTnpR98ZXT8AMAq5XE65XG7odWq1mhqNhlZWVrSzs+NAZ/YRhI1QqVTS+vr6oVCon/CqFS7l8/lDxxZbotGo5ZwwuwzDaA/HHzZgc+LerbSCMKf85V/+pX7yk584tl4LQRiAozj5/w121roWlV5gYy4AjNS9+9LK6/YG5j/6sLR7yfr4OwBMo5/85Cf6q7/6K8fWIwibQ6Zpam1trWtovNfr1d7enq3PL5VK7V1UVnO5nAiYEomECoWC/H6/qtXqUGtJw9+7FXaEAZhl4w7C+P8ZABgPdukCmHfsCINtnUcOJWlzc/PYQfS9FAoFpdPpQ7ut9vb2Bh6cX6lU2rPHtre3HZ095uS9t7SCsEn8pekHL1ABHIUgDADmE7t0AcCeSb6m55/FY3L16tWu94eZlRWPx7W9vX0o9CoUCgOvub6+LkkjGcDv5L0DAAAAs+w5doIBwEQRhI1JMBjs2gV13Lwvu/x+v27dutX1e7dv3x5orUQioUqlomKxqGDQ+UeKOX3vAAAAAAAAgyAIG6NIJOLoesFgUNFotP3+IAFToVBoD+PvXMtpTt87AAAAAABAvwjCxqjzyOHS0pIja164cKH964Mzw3opl8tKJBLK5/OKx+OO9HOcUdw7AAAAAABAPwjCxqgzDBp0qP1BnUcZ+1mzUqkoEokok8mMPASTRnPvAAAAAAAA/Xho0g0skq2trfavR3FU8MyZM7bqDMPQ2tqaUqmUUqmU430cZdT3DgAAAMyTZlNqNK1r3C7J5RpPPwAwLwjCxqharbZ/3Tk8fhidc8HsBEyGYSgUCikejyuTydi+RqlUGio0G8W9AwAAAPOq0ZQees265sFl6QRBGAD0haORY1QqlSTJ0V1YlUpF0v5xw17D7k3TVCQS0fnz522HYJIUi8WGDq9Gce8AAAAAAIxCsyl91bB+a/bYtYnpxI6wMSmVSjIMQ16vV5cuXXJs3Y2NDUnS1atXLetM01QoFJLf71c6nbb1hEnDMJROpyV1zyLr16juHQAAAACAUWBX5vxiR9iAyuWyfD6fXC6XIpFIe2fWUQzD0Pr6uiTp1q1blsPis9msQqGQ0ul0z6dAtmpSqVTP3WBra2syDEPlclmBQMDWW+u+EonEWO4dAAAAAABglAjCBlQsFttBVblcVigUOhQYdX5saWlJ1WrVcmeVaZpKp9OqVCrKZrPy+XztHVkHxWIxZbNZZTKZnsccQ6GQZVjVy8GnSo7i3gEAAAAAAEaNIGxAsVjs0O8VCgX5fD7FYjElEgmFQiFFIhHF43Ftb2/L7/dbrun1eg/VtAKxWCymdDqtSCQin88naX8Afa+ZW7FYzNEQrLXmQcPeOwAAAAAAwKgxI2xA4XBY1WpVmUxG5XJZd+/ebe+SqlQqCgaDunTpksLhcF/HAbe3t7WxsaFyuSzDMLrWlPZDqGKxaHvNYrHYx13ZM6p7BwAAAAAAGCWCsCH4/X7l83lH1/R6vX090XFSRnHvALAo3K794aq9agAAcEKzuT/424rbJbn4bw+ABUAQhplWq9W0urpqWZNMJpVMJsfUEQD05nI594QhQjUAQC88/Q7AOOVyOeVyOcuaWq02pm4OIwjDTGs0Gtrd3bWsqdfrY+oGAMbPyVANADAcfjgBAPuvwXu9Tp8kgjDMNLfbreXlZcsaj8czpm4AAACwyPjhBADsvwZfWVmxrKnVamo0GmPqqBtBGGba8vKydnZ2Jt0GAAAAAACQvfFEq6urE9s15p7IVQEAAAAAAIAxIwgDAAAAAADAQuBoJAAAAAAAwAxoNvefBGvF7dqfWYijEYQBAAAAAADMgEZTeug165oHl3lwhxWORgIAAAAAAGAhEIQBAAAAAABgIRCEAQAAAMAMeuvOpDsAgNlDEAYAAAAAU8ZOyPViiTAMAPpFEAYAAAAAU+Tefenld+zVvvS2VL8/0nYAYK4QhAEAAADAFHmzIn32pb3aT7+QrlVG2w8AzBOCMAAAAACYIu9+2F/9e33WD6PZlL5qWL81m+PrBwD69dCkGwAAAAAA/M7e56OtH0ajKT30mnXNg8vSCdd4+gGAfrEjDAAAAACmiO+R0dYDwCJjRxhmWq1W0+rqqmVNMplUMpkcU0cAAADAcM49Kd38jf36p54cXS8A0K9cLqdcLmdZU6vVxtTNYQRhmGmNRkO7u7uWNfV6fUzdAAAAAMN7ISi9+r69gfmPPixdDI6+JwCwq16v93ydPkkEYZhpbrdby8vLljUej2dM3QAAAADDO3VSeuNp6cVS79orz0iekyNvCQBs83g8WllZsayp1WpqNBpj6qgbQRhm2vLysnZ2dibdBgAAAOCo50/3DsKuRffrAGCa2BlPtLq6OrFdYwzLBwAAAIAZ9BwhGAD0jSAMAAAAAAAAC4EgDAAAAAAW3Ft3Jt0BAIwHQRgAAAAAzDE7IdeLJcIwAIuBIAwAAJuaTemrhvVbsznpLgEA+J1796WX37FX+9LbUv3+SNsBgInjqZEAANjUaEoPvWZd8+CydMI1nn4AAOjlzYr02Zf2aj/9QrpWkX70ndH2BACTxI4wAAAAAJhT737YX/17fdYDwKwhCAMAAACAObX3+WjrAWDWEIQBAAAAwJzyPTLaegCYNQRhAAAAADCnzj3ZX/1TfdYDwKwhCAMAAACAOfVCUPr61+zVPvqwdDE42n4AYNIIwgAAAABgTp06Kb3xtL3aK89InpMjbQcAJo4gDAAAAADm2POne9dci9qrA4BZRxAGAAAAAAvuOUIwAAvioUk3AAyjVqtpdXXVsiaZTCqZTI6pIwAAAAAAFlcul1Mul7OsqdVqY+rmMIIwzLRGo6Hd3V3Lmnq9PqZuAEyjZlNqNK1r3C7J5RpPPwAAAMA8q9frPV+nTxJBGGaa2+3W8vKyZY3H4xlTNwCmUaMpPfSadc2Dy9IJgjAAAABgaB6PRysrK5Y1tVpNjUZjTB11IwjDTFteXtbOzs6k2wAAAAAAALI3nmh1dXViu8YIwgAAAABgyrhd+zuWe9UAAPrDUyMBAAAAYMq4XNIJt/XbtM63fOvOpDsAgOMRhAEAAAAAbLETcr1YIgwDML0IwgAAAAAAPd27L738jr3al96W6vdH2g4ADIQgDAAAAADQ05sV6bMv7dV++oV0rTLafgBgEARhAAAAAICe3v2wv/r3+qwHgHEgCAMAwEHMRAEAzKu9z0dbDwDjQBAGAIBNDAgGACwy3yOjrQeAcSAIAwDABgYEAwAW3bkn+6t/qs96ABgHgjAAAGxgQDAAYNG9EJS+/jV7tY8+LF0MjrYfABgEQRgAADYwIBgAsOhOnZTeeNpe7ZVnJM/JkbYDAAMhCAMAwAYGBAMAID1/unfNtai9OgCYBIIwAABsYEAwAAD2PEcIBmCKPTTpBoBh1Go1ra6uWtYkk0klk8kxdQRgXp17Urr5G/v1DAgGAADAIsrlcsrlcpY1tVptTN0cRhCGmdZoNLS7u2tZU6/Xx9QNgHn2QlB69X17A/MZEAwAAIBFVa/Xe75OnySCMMw0t9ut5eVlyxqPxzOmbgDMs9aA4BdLvWsZEAwAAIBF5fF4tLKyYllTq9XUaDTG1FE3gjDMtOXlZe3s7Ey6DQAOazalRtO6xu2SXK7x9NPy/OneQRgDggEA08btkh5c7l0DAE6wM55odXV1YrvGCMIAAFOn0ZQees265sFl6cQU/qOdAcEAgGnjck3nfzMBYBJ4auQEGIahSCRiuzaRSCgQCMjlcsnn8ykUCimRSMgwjIF7yGazikQi8vl8crlcCgQCisViKpfLU7UmAAAAAACAUwjCHGSaplwuV8+3QCAgv9/fc71sNqtAIKBCodAOvUzTVKVSUaFQUCAQUDab7avHcrksn8+ndDotSSoWi6pWq8pkMqpUKopEIopEIjJNc6JrAsA4vXVn0h0AAAAAGAeORjqoUCjYrm2FRseJRCIql8vyer0Kh8Py+/0yDEOVSqVrJ1g6nZbf71c0Gu15zXK53N6JFo/Hlc/n2x9rrREKhVQulxUKhbS9vS2v1zv2NQHASXZCrhdL0gk3s70AAACAeceOMAdtbGzYqmsFW8dJp9Mql8vKZDLa29tTsVhUJpPp2mnVKRaL9bymaZrtOr/f3xVYdSoWi5L2j2T2WncUawKAk+7dl15+x17tS29L9fsjbQcAAADAhLEjzCGFQkGmaSqVSvWc/3XmzJljP2YYhrLZrDY3NxUOh4+sSaVSqlarXTvQKpWKgsHgsevGYrH20USr3WitXVylUknlclmFQkHxeHxsawKAk96sSJ99aa/20y+kaxXpR98ZbU8AAAAAJsfVbDZ7PKAedgQCAUlStVodap1YLKazZ88qlUpZ1pmmKZ/P134/k8kc+zmGYbT7k6S9vT3L44mlUqm9c8vr9Wpvb28sa/aj9ajVlZUV7ezsDLXWKH3VsPnkO/ZmAl2c+rvzvb+Xbv7G/nW/94T0/n8afV8AAMwq/luIRTGt3+vT2le/Jvmafsr/aGZDqVSSYRg9537Z0dpV1ovX6+06XmkVQnUepQyHwz1ndHXOGzNNU6VSaSxrAoDT9j4fbT0AAACA2UIQ5oCNjQ15vV6dP39+6LU2Nzdt1969e7f9a6vjlp1HKK2OT3bqDNmuX78+ljUBwGm+R0ZbDwAAAGC2EIQNqVKpqFKptI8qBgIBJRKJke94Mk2zPZ8rHA4fG0ZVKpWu98+ePWtr/c71Dt7LKNYEgFE492R/9U/1WQ8AAABgthCEDengcUjDMFQoFBSLxeRyuRSLxQ4FR064ceOGpP1dVq2nMh6lXC53vW/1tEqrus57GMWaADAKLwSlr3/NXu2jD0sX7W1wBQAAADCjCMKGYBjGoVDooFKppFAopEQi4dh1TdNUIpFQMBjU5uam5Xyu27dvd73fa5ZXy2OPPdb1/tbW1kjXBIBROHVSeuNpe7VXnpE8J0faDgAAAIAJIwgbgt/vVz6fVyaTUTwet9wZVSgUFAqFhr6mYRgKhULyer26detWz91YhmEc6tmOg3WdT8McxZoAMCrPn+5dcy1qrw4AAADAbCMIG1I8HlcqlVI+n1e1WtXe3p4ymcyRu6QqlYoikcjA1yqVSgoEAjIMoz2TLJvNWn7OwdBqUK15ZKNaEwAm6TlCMAAAAGAhPDTpBuaN1+tVKpVSKpVSqVTS+vp6V+BTLpeVzWaVSqVsrWeapgqFgvL5/JEBVDqd1u3bt4+dEzZo2HQwyOt8QuUo1hxUrVbT6urq0Oskk0klk8mh1wEAAAAAYF7lcjnlcrmh16nVag50MxiCsBGKRqMKh8NaW1vrGgy/sbFhOwgrl8uqVqsKh8PHziQrlUp9hWuDGMXuLSfWbDQa2t3dHXqder0+9BoAAAAAAMyzer3uyGvwSSIIGzGv16vt7W2FQqF2GGaapsrlssLhcM/Pj0ajikajXb9XKBSUTqe7gqR0Oq14PH5o15XX63UkcOpcdxRrDsrtdmt5eXnodTwez9BrAJh/bpf04HLvGgAAAGAeeTweraysDL1OrVZTo9FwoKP+EYSNydWrV7uG5W9ubtoKwo4Sj8cVDocVCoW6AqlCoXBoV9jS0pIjodXS0tJI1xzU8vKydnZ2hl4HAOxwuaQTBF0AAABYUE6NFVpdXZ3YzjKCsDEJBoMKh8Pto43DDpz3+/26detWV7h2+/btQ3WD7ro6GHQd3BHm9JoAAAAAph+7owHMOp4aOUbDPDHyKMFgsOvY5FHh2pkzZ7ret7uT6+Ag+0AgMNI1AQAAAEw/l0s64bZ+c9kIwppN6auG9VuzOfr7AbB42BE2Rn6/v/1rJ44FStKFCxdUKpUkHR1Ide4Yk/bDsmAw2HPdarXa9X7nMc5RrAkAAABgcTSa0kOvWdc8uMxIAgDOY0fYGHUGYU4dC+wMoI5a8+DuLbtHMjtDNa/X29X7KNYEAAAAAAAYNYKwMdra2mr/2uljktLhgEraD8o6A7Kj5ogdpbPXg+uOYk0AAAAAAIBRIwgbo86jgU4dC+zcjXVcuHb+/Pn2ryuViq11O+vS6fRY1gQAAAAAABglgrAxas3ySqVSjq3ZCpe8Xm/X4PxOiUSi/evWUyutdNb4/f4jQ7tRrAkAAAAAADBKBGFjUiqVZBiGvF6vLl265Ni6GxsbkqSrV68eWxMMBruCp1Ygd5xisdj+9XE7t0axJgD04607k+4AAAAAwKwhCBtQuVyWz+eTy+VSJBKxPB5oGIbW19clSbdu3bIclJ/NZhUKhZROp498CmSnVk0qlTp2N1hLPp9v/7oVnh3FNE0VCgVJ+8c34/H4WNcEAMleyPViiTAMAAAAQH8IwgZULBbbQVW5XFYoFOo6LtjS+tjS0pKq1WrXUx4PMk1T6XRalUpF2WxWPp/v2N1TsVhM2WxWmUxGmUymZ79+v7+9K6u1/lHW1tYk7R+17NzFNa41AeDefenld+zVvvS2VL8/0nYAAAAAzBGCsAHFYrFDv1coFOTz+RSLxZRIJBQKhRSJRBSPx7W9vS2/32+5ptfrPVTTCsRisZjS6bQikYh8Pp+k/eH7/cwbi0aj2tzclNfrVTqdViwWU6VSkWma7cCuUqkoGAzqo48+sty5Nso1ASy2NyvSZ1/aq/30C+maved1AAAAAABB2KDC4bCq1ari8bj8fn9XwFOpVHT37l1dunRJe3t7ymQytgOg7e1tpVIpBYPBQ2sahqFYLKaPPvpIxWKxZ7B2XN+tngzD0NraWjtoW1paUrFY1Pb2dl+B1SjWBLC43v2wv/r3+qwHAAAAsLgemnQDs8zv93fNyXKC1+u1ddRxWKlUytGnV45qTQCzo9mUGk3rGrdLcrmsa/Y+7++6/dYDAAAAWFwEYZhptVpNq6urljXJZFLJZHJMHQHHcyoomlaNpvTQa9Y1Dy5LJ3rcn++R/q7bbz0AAJgv8/5vLGDW5HI55XI5y5parTambg4jCMNMazQa2t3dtayp1+tj6gaw5lRQNO/OPSnd/I39+qeeHF0vAABg+vFvLGC61Ov1nq/TJ4kgDDPN7XZreXnZssbj8YypGwBOeCEovfq+vYH5jz4sXTz+YbyS9n8C/OBy7xoAAAAAw/N4PFpZWbGsqdVqajQaY+qoG0EYZtry8rJ2dnYm3QYAB506Kb3xtPRiqXftlWckz0nrGpeLnwADAAAA42JnPNHq6urEdo3x1EhgATWb0lcN67dmjzkLmB/T+P3w/OneNdei9uoAAAAAoIUdYcACYo4COs3q98NzhGAAAAAA+sSOMAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALARmhAEYSrO5P2PKitu1/+Q+AAAAAAAmiSAMwFBmddA6AAAAAGDxEIQBwAxiJx4AAAAA9I8gDABmEDvxAAAAAKB/DMsHAAAAAADAQiAIAwAAAAAAwEIgCAMAAAAAAMBCIAgDAAAAAEydt+5MugMA84ggDAAAAAAwVnZCrhdLhGEAnMdTIzHTarWaVldXLWuSyaSSyeSYOgIAAABg5d596eV37NW+9LZ07tuS5+RIWwLgoFwup1wuZ1lTq9XG1M1hBGGYaY1GQ7u7u5Y19Xp9TN0AAAAA6OXNivTZl/ZqP/1CulaRfvSd0fYEwDn1er3n6/RJIgjDTHO73VpeXras8Xg8Y+oGAAAAQC/vfthf/XsfEoQBs8Tj8WhlZcWyplarqdFojKmjbgRhmGnLy8va2dmZdBsAAAAAbNr7fLT1ACbLznii1dXVie0aY1g+AAAAAGBsfI+Mth4ArBCEAQAAAADG5tyT/dU/1Wc9AFghCAMAAAAAjM0LQenrX7NX++jD0sXgaPsBsFgIwgAAAAAAY3PqpPTG0/ZqrzwjeU6OtB0AC4Zh+QCAqeN2SQ8u964BAACz6fnT0osl65pr0f06AHASQRgAYOq4XNIJgi4AABbac4RgAEaAo5EAgLF5686kOwAAAACwyAjCAACOsBNyvVgiDAMAAOPHvz8AtBCEAQCGdu++9PI79mpfeluq3x9pOwAAYIHwwzgA/SAIAwAM7c2K9NmX9mo//UK6VhltPwAAYDHwwzgA/SIIAwAM7d0P+6t/r896AACAo/DDOAD9IggDAAxt7/PR1gMAAByFH8YB6NdDk24AAKZZsyk1mtY1bpfkco2nn2nle2S09QAAAEfhh3EA+kUQhplWq9W0urpqWZNMJpVMJsfUEeZNoyk99Jp1zYPL0ok5D8LeuiNdDB3/8XNPSjd/Y3+9p54cvicAAAB+GAdMn1wup1wuZ1lTq9XG1M1hBGGYaY1GQ7u7u5Y19Xp9TN0As8nuk5ZOuKXnTx/98ReC0qvv25vR8ejD0sVgfz0CAAAchR/GAdOnXq/3fJ0+SQRhmGlut1vLy8uWNR6PZ0zdALOn3yctnfu25Dl5+GOnTkpvPL0fmPVy5Zmj1wAAAOgXP4wDpo/H49HKyoplTa1WU6PRGFNH3QjCMNOWl5e1s7Mz6TaAmTXIk5Z+9J2jP/786d5B2LXo8bvKAAAA+sUP44DpY2c80erq6sR2jfHUSABYYON+0tJzhGAAAMBhdn7Ixg/jALQQhAHAAuNJSwAAYBHwwzgALQRhALDAeNISAAAAgEVCEAYAC+xcn09O4klLAAAAAGYZQRgALLAXgtLXv2avlictAQCAeddsSl81rN+azUl3CWAYPDUSABYYT1oCAAD4nUZTeug165oHl6UTrvH0A8B57AgDgAXHk5YAAAAALAp2hAEAeuJJSwAAAJPRbO7vVLPidkkudqkBthCEAQAAAAAwpTiuCTiLo5EAAAAAAABYCARhAAAAAAAAWAgcjQQAAAAAjJXbtX+cr1cNADiNHWHAhL11Z9IdAAAAAOPlckkn3NZvDH8HMAoEYcAI2Qm5XiwRhgEAAAAAMA4cjcRMq9VqWl1dtaxJJpNKJpNj6uh37t2XXn7HXu1Lb0vnvi15To60JSyYt+5IF0OT7gIAAADAIsnlcsrlcpY1tVptTN0cRhCGmdZoNLS7u2tZU6/Xx9RNtzcr0mdf2qv99AvpWkX60XdG2xPmh93dhifc0vOnR98PAAAAAEj7r8F7vU6fJIIwzDS3263l5WXLGo/HM6Zuur37YX/1731IEAZ72G0IAAAw/ZpNqdG0rnG7mIWG+ePxeLSysmJZU6vV1Gg0xtRRN4IwzLTl5WXt7OxMuo0j7X0+2nosLnYbAgAATL9GU3roNeuaB5elEwRhmDN2xhOtrq5ObNcYw/KBEfE9Mtp6LK5BdhsCAAAAAAjCJsIwDEUiEVu1lUpFiURCgUBALpdLLpdLgUBA6XRapmmOttER6OfeZ925J/urf6rPeiwudhsCAAAAwGAIwhxkmmY7rLJ6CwQC8vv9PdeKxWIKhUIqFAoyDKP9McMwlM1m5fP5VCgUbPXm8/ls9XbUWyKRGOu9z4sXgtLXv2av9tGHpYvB0faD+cFuQwAAAAAYDEGYg+yGUpKUTqeP/ZhpmgqFQiqVSj3XSSQSPYOqUqk01O4xOzu4nLr3eXLqpPTG0/ZqrzzDMHPYx25DAAAAABgMQZiDNjY2bNWFw2HLXVGxWEyGYSgYDKpYLKparaparapYLCqVSh2qLxQKlqFZPp+31ddxotFozxqn7n3ePH+6d821qL06LIa37vSuYbchAAAAAAyGp0Y6pFAoyDRNpVKpnjuozpw5Y7lOuVxWKpVSJpPp+pjf71c0GlUikVAsFlOlUml/bH19/cjAyjAMlctl+f1+pdNphcNhLS0t9byfUCgkwzAUDod71jp174vqOUKwhWEn5HqxJJ1wW4ejrd2GL/beNMpuQwAAAADoQBDmkEwmI7/ffyi8GmSdcDhsuY7f71exWFQgEGj/nmmaKpfLh4KrfD4vv9+v7e1teb1eWz0YhtGeSRaLxWz17MS9A/Ps3n3p5Xfs1b70tnTu29YB1vOnewdh7DYEAAAAgG4cjXRAqVSSYRhDz76qVCoyDEPFYrFn7VHBU+cOsZZCoaBisWg7BJPUdczy/PnzPWuduHdg3r1ZkT770l7tp19I1w7/de4buw0BAAAAoBs7whywsbEhr9fbMzTq5fr164rH47ZDq4O7vz755JNDNcViUcFgfwOCrl+/3l6/Vy9O3Tsw7979sL/69z6UfvSd0fQyKm6X9OBy7xoAAAAAmBSCsCFVKpX2Tiyfzye/369wOKxIJGJryHynCxcu9DVI/mDA1XlUssXOjK9Opmm276fXsUgn7x2Yd3ufj7Z+Grhc0gmCLgAAAABTjKORQzp4JNAwDBUKBcViMblcrkND7a0Eg8G+jjCaptn1vhNPYywUCu1f99rl5eS9A/PO98ho6wEAAAAAvRGEDaH1REYrpVJJoVBIiURiJNfv1O/ur6O0jkX2CuUmfe/ArDn3ZH/1T/VZDwAAsKha4xms3hjPAKCFo5FD8Pv9yufzMk1T1WpV5XL5UDjVUigUtLW1pe3tbceuv7W11f51PB4fer3OY5EXLlywrJ30vQOz5oWg9Or79gbmP/qwdLG/0X4AAAALi/EMAPpBEDakgwGUaZoqFAra2Ng4dHSxUqkoEoloc3PTkWvn8/n2r514auONGzfav7Yz42uS995Sq9W0uro69DrJZFLJZNKBjoCjnTopvfG09GKpd+2VZyTPyZG3BAAAAAB9yeVyyuVyQ69Tq9Uc6GYwBGEO83q9SqVSSqVSKpVKWl9f7wqFyuWystmsUqnUUNcxDKO9eyuTyTgyH6wVrAWDwYHWG9e9d2o0Gtrd3R16nXq97kA3gLXnT/cOwq5F9+sAAAAAYNrU63VHXoNPEkHYCEWjUYXDYa2trXUNjd/Y2Bg6DMpkMpL2jyg6ESz1cyzSjlHeeye3263l5eWh1/F4PA50AwzvOUIwAAAAAFPK4/FoZWVl6HVqtZoajYYDHfWPIGzEvF6vtre3FQqF2oGQaZoql8sDD7evVCoqFAryer2OHTXs91ikHaO494OWl5e1s7PjyFoAAAAAAOB4To0VWl1dndjOMp4aOSZXr17ten+YAGt9fV2SdOvWLUeOREq/Oxbp9/sdW7PFyXsHAAAAAAAYFEHYmASDwa5dUMc9YbGXRCKhSqWiYrGoYNCZx8p1Hot0ajdYJ6fuHQAAAAAAYBgcjRyjSCSicrk88OcXCgUVCgXl83lHA6vOY5FOzAc7yrD3DmB03C7pweXeNQAAAAAw69gRNkadRw6Xlpb6+txyuaxEIqF8Pq94PO5oX8ViUdL+TC+ndpkdNMy9Axgtl0s64bZ+cxGEAQAASJLeujPpDgAMgyBsjDrDIK/Xa/vzKpWKIpGIMpmM4yFYa3i9JMfX7jTovQMAAADAuNgJuV4sEYYBs4wgbIy2trbav45EIrY+xzAMra2tKZVKKZVKOd7TOI5FSoPdOwAAAACMy7370svv2Kt96W2pfn+k7QAYEYKwMapWq+1fdw6PP45hGAqFQorH48pkMrauYRiGstms7Z7GcSxS6v/eAQAAAGCc3qxIn31pr/bTL6RrldH2A2A0CMLGqFQqSZKtnV2maSoSiej8+fO2QzBJisVitoOmzmOR58+ft32NQfRz7wAAAAAwbu9+2F/9e33WA5gOPDVyTEqlkgzDkNfr1aVLlyxrTdNUKBSS3+9XOp2WYRg91zcMQ+l0WpJs7+zqPBYZi8Vsfc4g+rl3AAAAAJiEvc9HWw9gOhCEDahcLisWi8k0TYXDYWUymWMDKMMwtL6+Lkm6detWz2Hxa2trMgxDhmEoEAj01Vc+n7dd23kssp/jiqO8dwAAAACYBN8jo60HMB04GjmgYrEo0zQl7QdDoVBIiUTiUF3rY0tLS6pWqz13a4VCIVUqgx82t/vkx85jkf3O7BrVvQMAAADApJx7sr/6p/qsBzAdCMIGdNRRwkKhIJ/Pp1gspkQioVAopEgkong8ru3tbfn9/p5rjiMEk7qPRR4VYlkZxb0DAAAAwCS9EJS+/jV7tY8+LF3k5/zATCIIG1A4HFa1WlU8Hpff7+868lepVHT37l1dunRJe3t7ymQyto4EFotFNZvNgd8GORbZupd+jOLeAQAAAGCSTp2U3njaXu2VZyTPyZG2A2BEmBE2BL/f31f4NE02NzeH+vxpufdarabV1VXLmmQyqWQyOaaOAAAAAMyq509LL5asa65F9+sAHC2XyymXy1nW1Gq1MXVzGEEYZlqj0dDu7q5lTb1eH1M3AAAAAObdc4RggKV6vd7zdfokEYRhprndbi0vL1vWeDyeMXUDAAAAAMBi83g8WllZsayp1WpqNBpj6qgbQRhm2vLysnZ2dibdBgAAAAAAkL3xRKurqxPbNcawfAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALARmhAEAAAAAgL40m1KjaV3jdkku13jXAnohCAMAAAAAYALeuiNdDE26i8E0mtJDr1nXPLgsnbARXjm5FtALRyMBAAAAAHDYW3d617xYslcHwDkEYQAAAAAAOOjefenld+zVvvS2VL8/0nYAdCAIA4Ah8VM8AAAAdHqzIn32pb3aT7+QrlVG2w+A3yEIAwALbGkHAABAv979sL/69/qsBzA4gjAAOAZb2gEAADCIvc9HWw9gcARhAHAMtrQDAABgEL5HRlt/EKcTAPsIwgDgGGxpBwAAwCDOPdlf/VMW9YzqAJz10KQbAIBpNc1b2t0u6cHl3jUAAAAYvxeC0qvv2ztd8OjD0sXg0R/rd1THuW9LnpO22wQWEjvCAOAY497S3g+XSzrhtn5zEYQBAABMxKmT0htP26u98szx4RWjOgDnsSMMM61Wq2l1ddWyJplMKplMjqkjzJNzT0o3f2O/3mpLOwAAABbL86f3jyxauRbdrzvOIKM6fvSd/j4HcFoul1Mul7OsqdVqY+rmMIIwzLRGo6Hd3V3Lmnq9PqZuMG+c2tIOAAAAHOU5ixBMmu5RHcBx6vV6z9fpk0QQhpnmdru1vLxsWePxeMbUDeZNa0t7r5/kSdZb2gEAAIBBTPOoDuA4Ho9HKysrljW1Wk2NRmNMHXUjCMNMW15e1s7OzqTbwBxzYks7AAAAMAhGdWAW2RlPtLq6OrFdYwzLB4Ah9drSDgAAAAzihaD09a/Zq2VUB2APQRgAAAAAAFPIqadPAvgdgjAAAAAAAKaUnREcjOoA7CMIAwAAAABghjGqA7CPIAwAAAAAAAALgadGAgAAAACAudBsSo2mdY3bJblc4+kH04cgDAAAAAAAzIVGU3roNeuaB5elEwRhC4ujkQAAAAAAAFgI7AgDAAAAAED7R+YeXO5dA2B2sSMMAAAAAADtz4064bZ+Y7YUpt1bdybdwXQjCAMAAAAAAJgBdkKuF0uEYVYIwgAAAAAAAKbcvfvSy+/Yq33pbal+f6TtzCyCMAAAAAAAgCn3ZkX67Et7tZ9+IV2rjLafWcWwfMy0Wq2m1dVVy5pkMqlkMjmmjgAAAAAAcN67H/ZX/96H0o++M5perORyOeVyOcuaWq02pm4OIwjDTGs0Gtrd3bWsqdfrY+oGAAAAAIDR2Pt8tPVOqdfrPV+nTxJBGGaa2+3W8vKyZY3H4xlTNwAAAAAAjIbvkdHWO8Xj8WhlZcWyplarqdFojKmjbgRhmGnLy8va2dmZdBuALW6X9OBy7xoAAAAAOOjck9LN39ivf+rJ0fVixc54otXV1YntGmNYPoCp0WxKXzWs35rNSXc5OJdLOuG2fnMRhAEAAAA4wgtB6etfs1f76MPSxeBo+5lV7AgDMDUaTemh16xrHlyWThAWAQAAAFgwp05KbzwtvVjqXXvlGclzcuQtzSR2hAEYubfuTLoDAAAAAJh9z5/uXXMtaq9uURGEARiKnZDrxRJhGAAAAACMw3OEYJYIwgAM7N596eV37NW+9LZUvz/SdgAAAAAAsEQQBmBgb1akz760V/vpF9K1ymj7AQAAAADACkEYgIG9+2F/9e/1WQ8AAAAAgJMIwgAMbO/z0dYDAAAAAOAkgjAAA/M9Mtp6AAAAAACcRBAGYGDnnuyv/qk+6wEAAAAAcBJBGICBvRCUvv41e7WPPixdDI62HwAAAAAArBCEARjYqZPSG0/bq73yjOQ5OdJ2AAAAAACwRBAGYCjPn+5dcy1qrw4AAAAAgFEiCAMwcs8RggEAAAAApsBDk24AGEatVtPq6qplTTKZVDKZHFNHAAAAAAAsrlwup1wuZ1lTq9XG1M1hBGGYaY1GQ7u7u5Y19Xp9TN0AAAAAALDY6vV6z9fpk0QQhpnmdru1vLxsWePxeMbUDQAAAABMr2ZTajSta9wuyeUaTz+YTx6PRysrK5Y1tVpNjUZjTB11IwjDTFteXtbOzs6k2wAAAACALm6X9OBy75pxajSlh16zrnlwWTpBEIYh2BlPtLq6OrFdYwRhAAAAAAA4zOUiUAKmEU+NnADDMBSJRGzVVioVJRIJBQIBuVwuuVwuBQIBpdNpmaY5NX1KUjabVSQSkc/na/cZi8VULpdH2CUAAAAAAIA9BGEOMk2zHVZZvQUCAfn9/p5rxWIxhUIhFQoFGYbR/phhGMpms/L5fCoUChPtU5LK5bJ8Pp/S6bQkqVgsqlqtKpPJqFKpKBKJKBKJjDy4AwAAAAAAsMLRSAf1E0q1QqOjmKapUCjUFX4dJ5FIaHt7W/l83va1nepT2g/BWrvG4vF4Vx9+v1/RaFShUEjlclmhUEjb29vyer22rw8AAAAAAOAUdoQ5aGNjw1ZdOBy23GkVi8VkGIaCwWB7d1W1WlWxWFQqlTpUXygUVCqVxt5na9eatB96HRfGFYtFSfs72Vr1AAAAAAAA48aOMIcUCgWZpqlUKtVzrtaZM2cs1ymXy0qlUspkMl0fa+2wSiQSisViqlQq7Y+tr68rGo2OrU9pP7BrHXe02jnW6rtUKqlcLqtQKCgej/fsFZP11h3pYmjSXQAAAAAA4ByCMIdkMhn5/f5D4dUg64TDYct1/H6/isWiAoFA+/dM01S5XFY4HB5Ln4ZhdA3BP3/+vGX9hQsX2rvW0uk0QdiEvXWnd82LJemEW3r+9Oj7cVqzuf9oaCtu1/6TfAAAAAAAi4MgzAGlUkmGYfQ1p+solUpFhmFoe3u7Z20rzOrciVWpVCyDMKf6lNQVpIXD4Z5zvzp3q5mmqVKpZGsHG5x377708jv2al96Wzr3bclzcqQtOa7RlB56zbrmwWUeZw0AAAAAi4YZYQ7Y2NiQ1+vtuSuql+vXrysej9seJn8w9Prkk08s653qU+oeuB8MBm19Tue8sevXrw/dAwbzZkX67Et7tZ9+IV2r9K4DAAAAAGAWEIQNqVKpqFKpyDRN+Xw+BQIBJRKJvobXt1y4cKGvI4sHA6jOo5Kj7LNzNpkknT17tu9+B7kunPHuh/3Vv9dnPQAAAAAA04ogbEgHh8QbhqFCoaBYLCaXy3VoqL2VYDBoezeYpPag+harJzw62WfnbLBe17Wqs3s9OGvv89HWAwAAAAAwrQjChnBwYPxRSqWSQqGQEonESK7f6bj5YE73efv27a737YZ3jz32WNf7W1tbtj4PzvI9Mtp6AAAAAACmFcPyh+D3+5XP52WapqrVqsrl8qFwqqVQKGhra8vWIHy7OoMkq6cwOt3nwc8ddEdYtVq19Xlw1rknpZu/sV//1JOj6wUAAADA/HrrjnQxNOkugG4EYUM6GECZpqlCoaCNjY1DRxcrlYoikYg2NzcduXbn0x8PHn0cZZ/HhWj9OnjdQdRqNa2urg69TjKZVDKZHHqdWfBCUHr1fXsD8x99WLpo71kIAAAAABbIW3d617xYkk64pedPj74fjEcul1Mulxt6nVqt5kA3gyEIc5jX61UqlVIqlVKpVNL6+npX4FMul5XNZpVKpYa6jmEY7RlbmUzG9q4sJ/ocNMA6eITy7t27A63TqdFoaHd3d+h16vX60GvMilMnpTee3v+PUi9XnpE8J0feEgAAAIAZcu++9PI79mpfels6921eV8yLer3uyGvwSSIIG6FoNKpwOKy1tbWuwfAbGxtDB2Gtp0v6/f6h1xpln1ac2BHmdru1vLw89Doej2foNWbJ86d7B2HXovzkBgAAAMBhb1bsnTCRpE+/kK5VpB99Z7Q9YTw8Ho9WVlaGXqdWq6nRaDjQUf8IwkbM6/Vqe3tboVCoHTKZpqlyuXzscPteKpWKCoWCvF6vY8cs++nT6/U6EmL184TM4ywvL2tnZ2fodXDYc4RgAAAAAI7w7of91b/3IUHYvHBqrNDq6urEdpbx1MgxuXr1atf7wwRY6+vrkqRbt271fSSyFzt9Li0tOXItp9YBAAAAAIzP3uejrQdGiSBsTILBYNfOqkEHzicSCVUqFRWLRQWDzk8xt9PnoDu5Du4ic2JHGAAAAABgvHyPjLYeGCWCsDGKRCJDfX6hUFChUFA+n1c0GnWoq8N69XnmzJmu9+0ekzw4HD8QCPTVFwAAAABg8s492V/9U33WA6PEjLAx6jzG2O+xwHK5rEQioXw+r3g87nRrXXr1GQqFut43DMPW7rRqtdr1/qAz0gAAAABgUbhd0oPLvWvG6YWg9Or79gbmP/qwdNH5w0zAwNgRNkadAVM/xwIrlYoikYgymczIQzCpd58Hd4TZPebZuXPM6/U6Pt8MAAAAAOaNyyWdcFu/ucYchJ06Kb3xtL3aK89InpMjbQfoC0HYGG1tbbV/bfeYpGEYWltbUyqVUiqVGlVrXXr1GQwGuwKy27dv973uwTAN9t27L/3Nv0jf+3vpj/+v/f/923/Z/30AAAAAGIfnbTxl/lrUXh0wTgRhY9R5NNDOsUDDMBQKhRSPx5XJZGxdwzAMZbPZgXuU7PV5/vz59q8rlYqtdTvr0un0gN0ttn+4I61uSH/+rnTzN9Ltnf3//c/v7v/+P9yZdIcAAAAAsO85QjBMIWaEjVGpVJIkWzu7TNNUJBLR+fPnbYdgkhSLxXT16tWBe5Ts9ZlIJFQoFCTtzy/rpbPG7/czH2wA/3BHeuHG8R//9Iv9j7vET12cNI0zGQAAAAAAgyEIG5NSqSTDMOT1enXp0iXLWtM0FQqF5Pf7lU6nbc3gMgyjvcvKzuD6YfsMBoMKh8PtgKtUKlk+ybJYLLZ/zW6w/t27L/3wbXu1L70tnfs25/Cd4nJJJwi6AAAAAGAucDRyQOVyWT6fTy6XS5FIxPJ4oGEYWl9flyTdunWr56D8tbU1GYahcrmsQCBg663VQyKRGFuf+Xy+/euNjY1j60zTbO8eC4fDYxn4P2/erOzv+LLj0y+ka/ZOqwIAAAAAsFAIwgZULBbbT0Esl8sKhUKHQqjOjy0tLalarfbcrRUKhWzP3DrKwZBpVH1K+0ccWzu9KpXKsbPJ1tbWJO0/KbJzZxjse/fD/urf67MeAAAAAIBFQBA2oFgsduj3CoWCfD6fYrGYEomEQqGQIpGI4vG4tre35ff7e67pZAg2qj47RaNRbW5uyuv1Kp1Ot+/BNM12uFapVBQMBvXRRx/13GWGo+19Ptp6AAAAAAAWATPCBhQOh1WtVpXJZFQul3X37t32zqtW8HPp0iWFw2Hb4c8odkuNos+jrrG3t6dsNqvr169rbW1NpmnK6/XqzJkzKhaLlvPD0JvvkdHWAwAAAACwCAjChuD3+7vmZE2rcfWZSqVsPRET/Tv3pHTzN/brn3pydL0AAAAAADCrCMIw02q1mlZXVy1rksmkksnkmDoajReC0qV/sjcw/9GHpYuDPzgUAAAAAICB5XI55XI5y5parTambg4jCMNMazQa2t3dtayp1+tj6mZ0Tp2Ufv6M9MKN3rVXnpE8J0fdEQAAAAAAh9Xr9Z6v0yeJIAwzze12a3l52bLG4/GMqZvR+o+nJZekl94+emfYow/vh2DPnx5zYwAAAAAA/C8ej0crKyuWNbVaTY1GY0wddSMIw0xbXl7Wzs7OpNsYm+dPS099W3qzIr334f7TIX2P7M8EuxhkJxgAAAAAYLLsjCdaXV2d2K4xgjBgxpw6Kf3oO/tvAAAAALAI3rojXQxNugvMA/ekGwAAAAAAAIvrrTu9a14s2asDeiEIAwAAAAAAE3HvvvTyO/ZqX3pbqt8faTtYAARhAAAAAABgIt6sSJ99aa/20y+ka5XR9oP5x4wwAAAAAAAwEe9+2F/9ex/O7rzke/f3g7zOB5+de1J6Ibg/CxrjQRAGAAAAAAAmYu/z0dZPi3+4I/3w7f1dbZ1u/ka69E/Sz5+R/uPpSXS2eAjCAAAAAADARPgeGW39NPiHO9ILN47/+Kdf7H/cJel5wrCRY0YYAAAAAACYiHNP9lf/VJ/1k3bv/v5OMDt4GMB4EIQBAAAAAICJeCEoff1r9moffVi6GBxtP057s3L4OORxeBjAeBCEAQAAAACAiTh1UnrjaXu1V56RPDM2VH6QhwFgtAjCAAAAAADAxNiZi3UtOpvzsxblYQCzhCAMAAAAAABMtedmMASTFuNhALOGIAwAAAAAAGAE5v1hALPooUk3AAyjVqtpdXXVsiaZTCqZTI6pIwAAAAAA9r0QlC79k72B+bP4MICj5HI55XI5y5parTambg4jCMNMazQa2t3dtayp1+tj6gYAAAAAgN85dVL6+TPSCzd6187iwwCOUq/Xe75OnySCMMw0t9ut5eVlyxqPxzOmbjAOb92RLoYm3QUAAACAWTXu1xT/8bTkkvTS20fvDHv04f0QbBYfBnAUj8ejlZUVy5paraZGozGmjroRhGGmLS8va2dnZ9JtwCFv3eld82JJOuGen/9IAAAAAHDOtL6meP609NS3pTcr0nsf7j8d0vfI/kywi8H52AnWYmc80erq6sR2jRGEAZgK9+5LL79jr/alt6Vz356v/1gAAAAAGM60v6Y4dVL60Xf23zA5PDUSwFR4syJ99qW92k+/kK5VhruenZ8UAQAAAItmlv+dPO7XFJhNBGEApsK7H/ZX/55Fvd3t0LP8H3kAAACgX/P+72QnX1NgfhGEAZgKe587U9/vduj6/f6uCwAAAMyiRfh3slOvKTDfCMIATAXfI87Usx0aAAAAOGwR/p3s1GsKzDeCMABT4dyT/dU/dUw926EBAACAwxbh38lOvaawa1aPkC46gjAAU+GFoPT1r9mrffTh/UcMH4Xt0AAAAMBhi/DvZKdeU0jzP09tkRGEAZgKp05Kbzxtr/bKM8c/5pjt0AAAAMBhi/DvZKdeUyzCPLVFRhAGYGo8f7p3zbWodd24t0MDAAAAs2BR/p3sxGuKRZintsgIwgDMlOd6/IfNye3QAAAAwLzg38m/0+s1xSLMU1tkBGEA5opT26EBAACAecK/k+1bhHlqi4wgDMDccWI7NAAAADBv+HeyPYswT22REYQBWEi9tkMDAAAAi4h/Jy/OPLVFRRAGAAAAAADwvzBPbb49NOkGgGHUajWtrq5a1iSTSSWTyTF1BAAAAACYZa15ai+Wetcu+jy1o+RyOeVyOcuaWq02pm4OIwjDTGs0Gtrd3bWsqdfrY+oGAAAAADAPnj/dOwhjntrR6vV6z9fpk0QQhpnmdru1vLxsWePxeMbUDQAAAABgUTBP7Wgej0crKyuWNbVaTY1GY0wddSMIw0xbXl7Wzs7OpNsAAAAAAACyN55odXV1YrvGGJYPAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIXw0KQbAAAAAAAAs8Xtkh5c7l0DTBuCMAAAAAAA0BeXSzpB0IUZRBCGmVar1bS6umpZk0wmlUwmx9QRAAAAAACLK5fLKZfLWdbUarUxdXMYQRhmWqPR0O7urmVNvV4fUzcAAAAAACy2er3e83X6JBGEYaa53W4tLy9b1ng8njF1AwAAAADAYvN4PFpZWbGsqdVqajQaY+qoG0EYZtry8rJ2dnYm3QYAAAAAAJC98USrq6sT2zXmnshVAQAAAAAAgDEjCJsAwzAUiURs1VYqFSUSCQUCAblcLrlcLgUCAaXTaZmmOdD1R7GmXf3cOwAAAAAAgJMIwhxkmmY7WLJ6CwQC8vv9PdeKxWIKhUIqFAoyDOP/394d5DSS5vnj/kLVjGaFTLY0EoJNmxvY2SdIcwNcdYLEexa2SrNuIbNgj+sEWfYNcJ6gE9+A6E0iSyN1EmI1munGv0X+7b8BY4ztsCHjeSRUNrzxxvsSUYHjk+/7xuhnSZLE6elpbG9vR6vVelH7ll1nFn0HAAAAyIIgbIleEiA1Go0nf5amaZTL5eh0Os/WU6vVolarPVsuizrHLavvAAAAAFkRhC3RycnJTOUqlcrUUVHVajWSJIlSqRTtdjuurq7i6uoq2u121Ov1R+VbrdazAVcWdY5bVt8BAAAAsuKpkUvSarUiTdOo1+vProH1/v37qfV0u92o1+vRbDbv/axYLMbh4WHUarWoVqvR6/VGP/v48WMcHh6urM6H9S+j7wAAAABZEoQtSbPZjGKx+ChomqeeSqUytZ5isRjtdjv29/dH30vTNLrdblQqlZXU+bD+ZfQdAAAAIEumRi5Bp9OJJEkWXvuq1+tFkiTRbrefLTspeBofzZVlneOW1XcAAACArAnCluDk5CQKhUL88ssvC9Xz6dOnODo6ikKhMFP5hyO1/vGPf6ykznHL6jsAAABA1kyNXFCv1xuNmtre3o5isRiVSiUODg5mWl9r3K+//vqiheRLpdK99+PTGrOsc2iZfQcAAADImiBsQQ+nBCZJEq1WK1qtVkREHB4exm+//fYoYJpkljLj0jS9935S4JVFnUPL7Dtv1+ZGxD//+nwZAAAAWDdTIxeQJEl0u92pZTqdTpTL5ajVapnsf9xzi9ovs851953XY2Mj4qfN6V8bgjAAAABeASPCFlAsFuP8/DzSNI2rq6vodruPgqShVqsVX758icvLy6Xt/8uXL6PXR0dHK61z3X0HAAAAeClB2IIehkVpmkar1YqTk5NH0wx7vV4cHBzExcXFUvZ9fn4+er2spza+pM519h0AAADgpQRhS1YoFKJer0e9Xo9OpxMfP368Fwp1u904PT2Ner2+0H6SJBktVN9sNl+0IH5Wda6q7+P6/X7s7e0tXM/x8XEcHx8voUUAAADwYzo7O4uzs7OF6+n3+0tozXwEYRk6PDyMSqUSHz58GAVMEREnJycLh0HNZjMivk9RXFawtMw6s+z7uLu7u7i+vl64ntvb2yW0BgAAAH5ct7e3S7kHXydBWMYKhUJcXl5GuVweBUJpmka32517cfterxetVisKhcLSphpmUWcWfX9oc3MzdnZ2Fq5na2trCa3htfAkSwAAgOXb2tqK3d3dhevp9/txd3e3hBa9nCBsRX7//fcol8uj9xcXF3OHQR8/foyIiM+fPy9lSmRWdQ4ts+8P7ezsxNevX5dSFz+OjY2InwRdAAAAS7WsZYX29vbWNrJscy17zaFSqXQv/HnqCYvPqdVq0ev1ot1uR6lUWkrbsqhz3LL6DgAAALAIQdgKHRwcLLR9q9WKVqsV5+fncXh4uJQ2ZVHnJIv2HQAAAGBRgrAVGp9y+O7duxdt2+12o1arxfn5eRwdHS2lPVnU+ZRF+g4AAACwDIKwFRoPgwqFwszb9Xq9ODg4iGazubTAKos6p5m37wAAAADLIghboS9fvoxezzpVMEmS+PDhQ9Tr9ajX60tpRxZ1PmeevgMAAAAsk6dGrtDV1dXo9SxPTUySJMrlchwdHUWz2ZxpH0mSRKfTeTLgyqLOWby07wAAACzX5kbEP//6fBn4kQnCVqjT6UREzBQopWkaBwcH8csvv8wcWEVEVKvV+P3331dW56xe0nfyyx9mAADIzsZGxE8+T5NzgrAV6XQ6kSRJFAqF+O2336aWTdM0yuVyFIvFaDQakSTJs/UnSRKNRiMiIkql0krqnNVL+v6jEey8jD/MAAAAZEkQNqdutxvVajXSNI1KpRLNZvPJsChJkvj48WNERHz+/PnZxeI/fPgQSZJEkiSxv7//onadn59nXmeWff/RCHYAAADg9bBY/pza7XakaRoR34OhcrkctVrtUbnhz969exdXV1fPjqwql8vR6/XmbtekJ0Auu86s+g4AAACQJUHYnKrV6qPvtVqt2N7ejmq1GrVaLcrlchwcHMTR0VFcXl5GsVh8ts5lh2BZ1fnQon0HAAAAyJqpkXOqVCpxdXUVzWYzut1ufPv2bTRKqtfrRalUit9++y0qlcrM0wHb7fbS25lFnVn0HQAAACBrgrAFFIvFJ9fk+tHlue8AAAAsj4eMsUqCMN60fr8fe3t7U8scHx/H8fHxiloEAADAS3jI2I/l7Owszs7Oppbp9/sras1jgjDetLu7u7i+vp5a5vb2dkWtAQAAgHy7vb199j59nQRhvGmbm5uxs7MztczW1taKWgMAAAD5trW1Fbu7u1PL9Pv9uLu7W1GL7hOE8abt7OzE169f190MAAAAIGZbnmhvb29to8Y217JXAAAAAFgxQRgAAAAAuSAIAwAAACAXBGEAAAAA5IIgDAAAAIBcEIQBAAAAkAuCMAAAAAByQRAGAAAAQC4IwgAAAADIBUEYAAAAALkgCAMAAAAgFwRhAAAAAOSCIAwAAACAXPh53Q2ARfT7/djb25ta5vj4OI6Pj1fUIgAAAMivs7OzODs7m1qm3++vqDWPCcJ40+7u7uL6+npqmdvb2xW1BgAAAPLt9vb22fv0dRKE8aZtbm7Gzs7O1DJbW1srag0AAADk29bWVuzu7k4t0+/34+7ubkUtuk8Qxpu2s7MTX79+XXczAAAAeAU2NyL++dfny5CdWZYn2tvbW9uoMUEYAAAA8EPY2Ij4SdDFFJ4aCQAAAEAuCMIAAAAAyAVBGAAAAAC5IAgDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC4IwAAAAAHJBEAYAAABALgjCAAAAAMgFQRgAAAAAuSAIAwAAACAXBGEAAAAA5MLP624ALKLf78fe3t7UMsfHx3F8fLyiFgEAAEB+nZ2dxdnZ2dQy/X5/Ra15TBDGm3Z3dxfX19dTy9ze3q6oNQAAAJBvt7e3z96nr5MgjDdtc3MzdnZ2ppbZ2tpaUWsAAAAg37a2tmJ3d3dqmX6/H3d3dytq0X2CMN60nZ2d+Pr167qbAQAAAMRsyxPt7e2tbdSYIAxyaHMj4p9/fb4MAAAA/EgEYZBDGxsRPwm6AAAAyJnNdTcAAAAAAFZBEAYAAABALgjCAAAAAMgFQRgAAAAAuWCxfAAAAIA3YHMj4p9/fb4MTxOEAQAAALwBGxsRPwm6FmJqJAAAAAC5IAgDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC54ayZvW7/djb29vapnj4+M4Pj5eUYsAAAAgv87OzuLs7GxqmX6/v6LWPCYI4027u7uL6+vrqWVub29X1BoAAADIt9vb22fv09dJEMabtrm5GTs7O1PLbG1trag1AAAAkG9bW1uxu7s7tUy/34+7u7sVtei+jcFgMFjLnmEBe3t7cX19Hbu7u/H169d1NwcAAIAfyL/uIn7+r+ll/vnXiJ+svD6Xdd7TO2QAAAAA5IIgbA2SJImDg4OZyvZ6vajVarG/vx8bGxuxsbER+/v70Wg0Ik3TudtwenoaBwcHsb29PaqzWq1Gt9t9VXUCAAAALIsgbInSNB2FVdO+9vf3o1gsPltXtVqNcrkcrVYrkiQZ/SxJkjg9PY3t7e1otVovamO3243t7e1oNBoREdFut+Pq6iqazWb0er04ODiIg4ODF4VsWdQJAAAAsGwWy1+il4RSw9BokjRNo1wu3wu/nlKr1eLy8jLOz8+fLdvtdkcj0Y6Oju5tUywW4/DwMMrlcnS73SiXy3F5eRmFQmHldQIAAABkwYiwJTo5OZmpXKVSmToirFqtRpIkUSqVRqOrrq6uot1uR71ef1S+1WpFp9OZus/hCLOI7wHVU8FZu92OiO+jzoblV1knAAAAQFaMCFuSVqsVaZpGvV5/dv2v9+/fT62n2+1GvV6PZrN572fDEVa1Wi2q1Wr0er3Rzz5+/BiHh4dP1lutVkdTE6eNRhvuo9PpRLfbjVarFUdHRyurEwAAACArG4PBYLDuRvwI9vf3IyLi6upq4XqKxWJcXFxMLZckyWifQxcXF1GpVJ4te3NzM3V6YqfTGY3cKhQKcXNzs5I6X2Kdj1oFAADgx/avu4if/2t6mX/+NeIn8+zmss57eodsCTqdTiRJMnVU1Cx6vV4kSTKaSjhNsVh8NGJsfITYuPFylUrl2TW6xkeWpWk6cdplFnUCAAAAZEkQtgQnJydRKBTil19+WaieT58+xdHR0cyLyT8c/fWPf/xjYrnxRfxLpdJMdY+vYfbp06eV1AkAAACQJUHYgnq9XvR6vUjTNLa3t2N/fz9qtdpcI55+/fXXR6O8pnkYQD2cKjls37i//OUvL677YV+yqBMAAAAga4KwBT2cDpkkSbRarahWq7GxsfFoUftpSqXSzKPBImK0UP3QpCdRdrvdZ8tM8rDceB+yqBMAAAAga4KwBSRJ8igUeqjT6US5XI5arZbJ/sdNWij/b3/72733swZtf/rTn+69//LlS6Z1AgAAAGTt53U34C0rFotxfn4eaZrG1dVVdLvdR+HUUKvVii9fvsTl5eXS9j8eJB0dHU0s87A9847eGn8aZhZ1AgAAAGRNELaghwFUmqbRarXi5OTk0dTFXq8XBwcHcXFxsZR9n5+fj14/9cTKp4K5lxrvSxZ1AgAAAGRNELZkhUIh6vV61Ov16HQ68fHjx3uBT7fbjdPT06jX6wvtJ0mS0RpbzWbzyVFZ84ZND6c7fvv2LdM659Xv92Nvb2/heo6Pj+P4+HjhegAAAOBHdXZ2FmdnZwvX0+/3l9Ca+QjCMnR4eBiVSiU+fPhwb2H4k5OThYOw4dMli8XiwnXNIovRW8uo8+7uLq6vrxeu5/b2duE6AAAA4Ed2e3u7lHvwdRKEZaxQKMTl5WWUy+VRGJamaXS73YmL28+i1+tFq9WKQqHw7DTLQqGwlMBpfDRXFnXOa3NzM3Z2dhauZ2tra+E6AAAA4Ee2tbUVu7u7C9fT7/fj7u5uCS16OUHYivz+++9RLpdH7y8uLuYOwj5+/BgREZ8/f352ofp3794tJbR69+5dpnXOa2dnJ75+/bpwPQAAAMB0y1pWaG9vb20jyzbXstccKpVK94KveRecr9Vq0ev1ot1uR6lUerb8vKOuHgZdD0eELbtOAAAAgKwJwlbo4OBgoe1brVa0Wq04Pz+Pw8PDmbZ5//79vfezjuR6uJD9/v5+pnUCAAAAZE0QtkLj0xhfOi2w2+1GrVaL8/PzODo6mnm78emYEbOPRLu6urr3fnw0WxZ1AgAAAGRNELZC40HYS6YF9nq9ODg4iGaz+aIQLOLx6K1ZQ6vxUV6FQuFe27OoEwAAACBrgrAV+vLly+j1rNMkkySJDx8+RL1ej3q9/uJ9lkqle6Hb3/72t5m2G2/rw+ArizoBAAAAsiYIW6HxqYGzTAtMkiTK5XIcHR1Fs9mcaR9JksTp6em97/3yyy+j171eb6Z6xss1Go1HP8+iTgAAAIAsCcJWqNPpRETMNLIrTdM4ODiIX375ZeYQLCKiWq0+CtlqtdrodbfbfbaO8TLFYnFiaJdFnQAAAABZEoStSKfTiSRJolAoxG+//Ta1bJqmUS6Xo1gsRqPRiCRJnv3qdrujRexLpdK9+kql0r3gaRjIPaXdbo9ePzVyK4s6AQAAALK0MRgMButuxFvU7XajWq1GmqZRqVSi2Ww+CqCGhlMc0zSNy8vLJ8sNlcvlmacbPvTUUyWTJIn9/f2I+B5iXV5eTtw+TdPY3t6OiO/TNy8uLp7cVxZ1zmpvby+ur69jd3c3vn79unB9AAAAMPSvu4if/2t6mX/+NeInw4vmss57eodsTu12e/QUxOForPHpgkPDn7179y6urq4yDcEi4smnShaLxdGorF6v92gdsaEPHz5ExPenOo6P4lpVnQAAAABZEYTNqVqtPvpeq9WK7e3tqFarUavVolwux8HBQRwdHcXl5WUUi8Vn68wiBBs6PDyMi4uLKBQK0Wg0RvtL03QU2PV6vSiVSvH3v//93pMhV1knAAAAQBZMjVxAkiTRbDaj2+3Gt2/fIk3TKBQK8e7duyiVSvHrr79GpVJ5leHP6elpfPr0KZIkGbX7/fv3UavV4vDw8NXU+RRTIwEAAMiKqZHZWuc9vSCMN0kQBgAAQFYEYdla5z39zyvdGyxZv9+Pvb29qWWOj4/j+Ph4RS0CAACA/Do7O4uzs7OpZfr9/opa85ggjDft7u4urq+vp5a5vb1dUWsAAAAg325vb5+9T18nQRhv2ubmZuzs7Ewts7W1taLWAAAAQL5tbW3F7u7u1DL9fj/u7u5W1KL7rBHGm2SNMAAAALJijbBsrfOe3iEDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC4IwAAAAAHJBEAYAAABALgjCAAAAAMgFQRgAAAAAuSAIAwAAACAXBGEAAAAA5IIgDAAAAIBcEIQBAAAAkAuCMAAAAAByQRAGAAAAQC78vO4GwCL6/X7s7e1NLXN8fBzHx8crahEAAADk19nZWZydnU0t0+/3V9SaxwRhvGl3d3dxfX09tczt7e2KWgMAAAD5dnt7++x9+joJwnjTNjc3Y2dnZ2qZra2tFbUGAAAA8m1rayt2d3enlun3+3F3d7eiFt23MRgMBmvZMyxgb28vrq+vY3d3N75+/bru5gAAAPAD+dddxM//Nb3MP/8a8ZOV1+eyznt6hwwAAACAXBCEAQAAAJALgjAAAAAAckEQBgAAAEAuCMIAAAAAyAVBGAAAAAC5IAgDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC4IwAAAAAHJBEAYAAABALgjCAAAAAMiFn9fdAFhEv9+Pvb29qWWOj4/j+Ph4RS0CAACA/Do7O4uzs7OpZfr9/opa85ggjDft7u4urq+vp5a5vb1dUWsAAAAg325vb5+9T18nQRhv2ubmZuzs7Ewts7W1taLWAAAAQL5tbW3F7u7u1DL9fj/u7u5W1KL7NgaDwWAte4YF7O3txfX1dezu7sbXr1/X3RwAAAB+IP+6i/j5v6aX+edfI36y8vpc1nlP75ABAAAAkAuCMAAAAAByQRAGAAAAQC4IwgAAAADIBUEYAAAAALkgCAMAAAAgFwRhAAAAAOSCIAwAAACAXBCEAQAAAJALgjAAAAAAckEQBgAAAEAuCMIAAAAAyAVBGAAAAAC5IAgDAAAAIBd+XncDYBH9fj/29vamljk+Po7j4+MVtQgAAADy6+zsLM7OzqaW6ff7K2rNY4Iw3rS7u7u4vr6eWub29nZFrQEAAIB8u729ffY+fZ0EYbxpm5ubsbOzM7XM1tbWiloDAAAA+ba1tRW7u7tTy/T7/bi7u1tRi+7bGAwGg7XsGRawt7cX19fXsbu7G1+/fl13cwAAAPiB/Osu4uf/ml7mn3+N+MnK63NZ5z29QwYAAABALgjC1iBJkjg4OFho206ns+RWrcYifQcAAABYhCBsidI0jY2NjWe/9vf3o1gsvrjuarUa+/v70e1249u3by/afnt7e6a2Tfqq1Wpr7TsAAADAMgjClqjVas1cttFozFQuTdNoNBqxvb099yiwTqcTaZrOtW1EzDSCK4u+AwAAACyTIGyJTk5OZipXqVRmGhV1enoa5XI5er3eQu06Pz9faPvDw8Nnyyy77wAAAADL9vO6G/CjaLVakaZp1Ov1Z0dQvX///tn6er1eVCqVqNfro/pnmaL4UJIk0e12o1gsRqPRiEqlEu/evXt2u3K5HEmSRKVSebbssvsOAAAAkAVB2JI0m80oFovRbDaXUl+pVLr3ft4A6fz8PIrFYlxeXkahUJhpmyRJIkmSiIioVqvPll923wEAAACyIAhbgk6nE0mSLDwFcZpZQ6yHWq1WfP78+UXbj69F9ssvvzxbNuu+AwAAACyDIGwJTk5OolAoPBsarUO73X40uuw5nz59iojv63k9F6C95r4DAADAPDY3Iv751+fL8PZYLH9BvV4ver1epGka29vbsb+/H7Vabe4nPC7bLGt8jUvTdLQ4/3PTIl973wEAAGAeGxsRP21O/9oQhL1JgrAFNRqNe++TJIlWqxXVajU2NjaiWq0u/NTHVWq1WqPXz43y+tH6DgAAAPzYBGELGD6RcZpOpxPlcnmuJz6uw3BaZKlUmjot8kfsOwAAAPBjs0bYAorFYpyfn0eapnF1dRXdbnf0tMWHWq1WfPnyJS4vL1fcytmNT4v89ddfp5b90foOAAAA/PgEYQs6Ojq69z5N02i1WnFychJpmt77Wa/Xi4ODg7i4uFhhC2f3xx9/jF4fHh4+W/419L3f78fe3t7C9RwfH8fx8fESWgQAAAA/prOzszg7O1u4nn6/v4TWzEcQtmSFQiHq9XrU6/XodDrx8ePHe6FQt9uN09PTqNfr62vkE87PzyPi+7TIYrH44u3X0fe7u7u4vr5euJ7b29sltAYAAAB+XLe3t0u5B18nQViGDg8Po1KpxIcPH+4tGn9ycvLqgrCXTIucxar6vrm5GTs7OwvXs7W1tYTWAAAAwI9ra2srdnd3F66n3+/H3d3dElr0coKwjBUKhbi8vIxyuTwKhNI0jW63G5VKZc2t+/+9dFrkLFbR952dnfj69etS6gIAAACetqxlhfb29tY2ssxTI1fk999/v/f+ta0TNpwWWSwW55oWOc1r7zsAAACQD4KwFSmVSvdGQT31hMV1GJ8WuazRYONec98BAACA/BCErdDBwcG6mzDR+LTIZawPNslr7TsAAACQH9YIW6HxKYfv3r1bY0vua7fbEfF9Ta9SqZTJPl5r31ft7Owsbm9vY2traynzqmES5xlZc46xCs4zsuYcYxWcZ2TNOfZyG4PBYLDuRuRFr9eLcrkcERH1ej2azebM2yZJEvv7+6P35+fncXR0tHCb0jSN7e3tudr0Eov0fZLhwnq7u7tvarH8t9pu3hbnGVlzjrEKzjOy5hxjFZxnZO2tnmPrbLepkSv05cuX0evXMlVwFdMiI15n3wEAAIB8EYSt0NXV1ej1+OLx67SKaZERr7PvAAAAQL4Iwlao0+lExPepga9BmqbR7XYjIuKXX37JdF+vre8AAABA/gjCVqTT6USSJFEoFOK333578fZpmi69TePTIqvV6tLrH1q07wAAAADLIAibU7fbje3t7djY2IiDg4Po9XpPlk2SJD5+/BgREZ8/f45CofDi/SVJcu/9MoKx8WmRL5muuOq+AwAAACyDIGxO7XZ7FEZ1u90ol8tRq9UelRv+7N27d3F1dTXXOlxpmkaj0bj3vU+fPs3V7vE6h9MiX7pm1yr7DgAAALAsgrA5TZpK2Gq1Ynt7O6rVatRqtSiXy3FwcBBHR0dxeXkZxWJx5vrTNI1qtRoHBwexvb39aERYr9cbjciqVqtTR2VNMj4tclKINU3WfQcAAADIws/rbsBbValU4urqKprNZnS73fj27dtolFSv14tSqRS//fZbVCqVuaYDFgqF0dTFLIzX/dIRYVn3fRXOzs7i9vY2tra24vj4eN3NWYl19nld+85jn9fNsc7Pvtclj7/vPPZ5nfL6+87j+b1Oefx953Xf65LX33ce/99apzfb7wG8Qbu7u4OIGOzu7q5l+3mta7953Xce+5zXfeexz+vcdx77vM5957HP69x3Hvu8zn3nsc/r3Hce+5zXfeexz+vcdx77vOi+19luI8J40/r9fuzt7U0tc3x8/LbSaQAAAHijzs7O4uzsbGqZfr+/otY8JgjjTbu7u4vr6+upZW5vb1fUGgAAAMi329vbZ+/T10kQxpu2ubkZOzs7U8tsbW2tqDUAAACQb1tbW7G7uzu1TL/fj7u7uxW16D5BGG/azs5OfP36dd3NAAAAAGK25Yn29vbWNmpscy17BQAAAIAVE4QBAAAAkAuCMAAAAAByYWMwGAzW3Qh4qX//93+P//u//5tpsfxJhgvzzbv9vNa137zuO499zuu+89jnde47j31e577z2Od17juPfV7nvvPY53XuO499zuu+89jnde47j31edN/Dbf/t3/4t/vd//zejFk4mCONN+umnn9b2hAkAAABgcZubm/Gvf/1rpfv01EjepP/4j/+I//mf/4mffvop/vM//3PdzQEAAABm9N///d/xr3/9K/7jP/5j5fs2IgwAAACAXLBYPgAAAAC5IAgDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC4IwAAAAAHJBEAYAAABALgjCAAAAAMgFQRgAAAAAuSAIAwAAACAXBGEAAAAA5IIgDAAAAIBcEITBnJIkiVqtFvv7+7GxsRHb29tRLpejVqtFkiRz13t6ehoHBwexvb0dGxsbsb+/H9VqNbrd7quqk9Xo9Xr3zrPh8Ws0GpGm6dz1Os94SpIkcXBwEJ1OZ6F6nGPMwzFmnOsRWfIZi1Vwz/hKDYAXazabg4iY+tVsNl9U58XFxaBQKAwiYlCpVAYXFxeDq6urQbvdHhSLxdH3b25u1lonq3FzczM4PDx89jw7Pz9/Ub3OM57y8Jx76bk15BxjHo4x41yPyJLPWKyKe8bXSxAGL1SpVAYRMSgUCoPDw8NBvV4fHB4eji4S41/tdnumOi8uLkbbHB0dTSxTKpUGETEoFoszXYSyqJPVuLm5mXg+PfX11PF9yHnGJDc3N4N6vb7wDcBg4BxjPo4xQ65HZM1nLFbFPePrJgiDFxh+OHsquZ+U+j/n5uZmlMAXi8Uny11dXY3qrFQqK6+T1Rn+4SyVSoN2uz24uroa/avMpBuEWf6AOs+YpNlsDorF4uicW+TG0znGPBxjhlyPWAWfsVgF94yvnyAMZjS8AFxcXEwtd3R0dO+idnl5ObX8+Ae+5z7ozTpNIIs6WY3z8/NBRAzq9fqTZa6urkb/MjP8KhQKU+t1nvHQ5eXlvevT8Nyb9zg5x5iHY8xg4HrEaviMxSq4Z3wbBGEwo8PDw5nmcN/c3Ny7qE3bZjxdj4hnh5q22+1n/yhnUSerM/zX8Oc8PM7T/uA6z5jF5eXl3DeezjHm4RjzFNcjsuAzFqvgnvFtEITBjF4yDHR87ve0D2/j/xIwa/3jF6xJQ7WzqJPVGH7wn3Xu/cNh1U/9AXWeMYuHH4hecuPpHGMejjFPcT1i2XzGYlXcM74NmwHM5OLiYuay3759G71+//79k+VardbodalUmqnuYrE4ev3p06eV1MlqfPr0KY6OjqJQKMxUvlKp3Hv/j3/8Y2I55xlZc44xD8eYLLgeMYnPWKyKe8a3QRAGS5amaaRpGhHf/4g+dWHp9Xr33v/lL3+Zqf7x+jqdTuZ1sjq//vprNJvNmcs/PLf29/cflXGekTXnGPNwjMmC6xFP8RmL18Y943oJwmDJ/vjjj4j4npi32+0ny3W73XvvxxP2aR6WG7+QZVEnq1MqlWb+l8qIGP3xHJp0vJ1nZM05xjwcY7LgesRTfMbitXHPuF6CMFiiNE2jVqtFqVSKi4uLqX9w//a3v917P+sf5z/96U/33n/58iXTOnm9kiS59/7hMP4I5xnZc44xD8eYLLgesSw+Y5El94zrJwiDJUmSJMrlchQKhfj8+fOzyfrDP7DzJvFXV1eZ1snrNf7H5+joaGIZ5xlZc44xD8eYLLgesSw+Y5EV94yvgyAMlqDT6cT+/n4kSRJpmsb29nacnp5O3ebhBWhe40O3s6iT1+v8/Hz0utFoTCzjPCNrzjHm4RiTBdcjlsVnLLLgnvH1EITBnNI0jdPT09jf349qtfro541GY+L3x7efx8Ohq+NPG8miTl6nJElG8/KbzeaT/5LjPCNrzjHm4RiTBdcjlsFnLJbJPePrJAiDOXW73bi6uopKpTJx3YCI76n/cyn/orJI4t9yup8XwycfFYvFqNfrme/PeUbWnGPMwzEmC65H+eYzFsvknvF1EoTBnA4PD+P8/DzOz8/j4uIiBoNBnJ+fP0rKG43GxIvES55cM814PVnUyevT6/Wi1WpFoVCIi4uLqWWdZ2TNOcY8HGOy4HrEonzGYtncM75OgjDevFarFRsbG0v9KpfLc7Xl6OgoLi8vH10UWq3Wo7Lv3r2bax/T6smiTr57TefZx48fIyJmWmDTefZ2vKZz7CWcY8zDMSYLrkcsymcsVsE94/oJwmDJisVifP78+d73Hj6iNmL+BP3hvxQsI92fVievS61Wi16vF+12O0ql0rPlnWdkzTnGPBxjsuB6xCJ8xmKV3DOu18/rbgAsqlKpRLvdXmqdi/5PXSqV4vDwMDqdTkRMfjLH+/fvRwtxRny/sMyy34eLEu7v72daJ9+9hvOs1WpFq9WK8/PzODw8nGkb59nb8RrOsXk4x5iHY0wWXI+Yl89YrIN7xvURhPHmFYvFZ4cur8Ovv/46uqhNmu/9cMpSkiQz/evT1dXVvffjiy5mUSffrfs863a7UavV4vz8PI6Ojmbeznn2dqz7HJuXc4x5OMZkwfWIefiMxTq5Z1wPUyMhI+MXk0kJ+/v37++9n/QvAJOMXyALhcK9G+cs6mT9er1eHBwcRLPZfNEHtAjnGdlzjjEPx5gsuB7xUj5jsW7uGddDEAYr8PBiE/H9ojd+sZs0J3ySL1++PFlvFnWyXkmSxIcPH6Jer8/1CG/nGVlzjjEPx5gsuB7xEj5j8dq4Z1wdQRhkZDxZPzg4mFjml19+Gb0en6c9zXi5RqOxkjpZjyRJolwux9HRUTSbzZm3OT09vfc95xlZc44xD8eYLLgeMQufsXgt3DOuyQDIRLPZHETEoFAoPFnm8vJyEBGjr+dcXFyMyhaLxZXVyerd3NwMisXi4Ojo6EXblUqlweXl5b3vOc+YxdXV1b1jen5+PvO2zjHm4RjzFNcjsuQzFq+Je8b1MCIMMnJychIREb///vuTZUql0r1FBocLJT5l/IlyT6XwWdTJaqVpGuVyOYrFYjQajUiS5Nmvbrc7Wvjy4WKXzjNmMWmB1lk5x5iHY8xTXI/Iis9YvDbuGddk3UkcvBXNZnNQKpUG9Xp9cHNzM7VsvV4fRMSgXq8/W+/4v3qWSqUny93c3IzKVSqVldfJ6pRKpXv/QvOSr6f+1dx5xnPa7fa9c6nZbL5oe+cY83CMmcT1iKz4jEXW3DO+DYIwmMH4//zDr6cuWIeHhy/+0Db+ge+p7YZ/uAuFwrMX1azqJHuLfEB77t82nGc8ZThNZPxcmvaB6CnOMebhGDPO9Yis+IxF1twzvh2CMJjRww9lw4vB4eHhoF6vDyqVyuj91dXVi+u/uLgYFAqFQUQMDg8PB5eXl4Obm5vBxcXF6OJTKpVedPHJok6yM/yDOO/XLGtdOM8Yurm5GRweHg4qlcrU86pSqYyO6yycY8zDMc431yOy5jMWq+Ke8W0QhMGMbm5uBvV6fVAqlUYXikKhMCgWi4PDw8PB+fn5Ui4Ow+G04/uoVCqDdrv9qurkbXOekTXnGPNwjMmC6xGr5HzLN/eMb8PGYDAYBAAAAAD84Dw1EgAAAIBcEIQBAAAAkAuCMAAAAAByQRAGAAAAQC4IwgAAAADIBUEYAAAAALkgCAMAAAAgFwRhAAAAAOSCIAwAAACAXBCEAQAAAJALgjAAAAAAckEQBgAAAEAuCMIAAACApUrTNKrVavR6vXU3hf9Pt9uNWq0W5XI59vf3Y2NjIzY2NmJ/fz8ODg6i0WjMdbxOT0+j0Whk0OJsCMIAAACApel2u/HnP/85isVilEql0feGwctzX9vb29FqtZ7dT6/Xi+3t7al1lcvliIhotVoz73+er3Ev3df29vbyD8KY09PT2N7ejoODg2i1WtHr9aJQKMTh4WEcHh5GoVCIbrcbp6enUS6XY3t7O05PT2eu/+joKHq9Xuzv70eSJBn2ZDk2BoPBYN2NAAAAAN6+4eig8/PzODo6evTzTqcTHz9+jDRNH/3s6Ogozs/PX7zPNE2j0WjcC88qlUq02+0oFAr3yvZ6vWg0GtHtdh/VUywWo1gsPtpmuI+IiG/fvkWSJI/aPylaeW5f5+fnUalUnu/gnB7+rguFQjSbzYnHJU3TaLVacXJyMir/0jbWarX4448/4vPnz6MA9DUShAEAAAALey4EG+p2u3FwcPDo+5eXl3MHKGmajkZWFQqF+Pvf/z4x0Bra3t6eKcx6SpIk96Z+3tzcPLm/SftapK+zeDhdsVKpxMXFxbPbDae0jod3zx3PcdVqNTqdTub9W4SpkQAAAMBCWq1WNBqNqNfrz4YmlUolDg8PH33/y5cvc+//27dvo9fNZnNqCBYR8f79+3vvnyv/ULFYjM+fP8+03cN9RUSmIVGj0ZgrBIv4/nu4uLiIYrE4+l6tVpt5qmS73Y5SqRQfPnyYOOrvNRCEAQAAAHPrdDpRq9WiVCpFs9mcaZtJ5eaZFjk0HJlVKBRmGr300uDrqTpm6e/DfS1j308ZrvU1vq92u/3iei4uLu6186kpnpO02+1I0zQ+fPjw4v2ugiAMAAAAmEuapvHx48eImBxuPaVYLD4aFdbr9eZ+yuQwRJt1Ct+7d+/m2s9Ds6yftax9PWc4rXHcLKPjJikWi49+l9VqdaZRXsNth2ukvTaCMAAAAGAuw3CkVCq9eOH3ScHZycnJi9uQpulotFKtVnvx9osoFosTF+Vfh0aj8SiomjUYnOS333679z5N05mPzzAAOz09nXkk2aoIwgAAAIAX63Q6o5DjYWgyi2Kx+Cg863Q6L15bavi0yFKpdG9tq1WZtN7Zqg2f+jhukRAs4vu0yod9m3WtsPFju+pw8jmCMAAAAODFxkcHzRsGTZo699JRYcNpkfOEcfNK0/RVLQb/MASLiEfTJOcx6emek/Y1bdskSWbeZhUEYQAAAPAGVKvV2N7ejo2NjYlf5XI5kiSJiO+jcCaV3d/fX0qA0+12R+t5LfIExEql8mgU10tCk263O+rzKkdmPXwy47p9+vTp0fcmPa3ypSZNd5118f3xbV+yflzWBGEAAADwBrTb7bi5uZk45a3ZbMbl5eUoVDo/P4/Pnz+Pfl4qleLm5iaurq6Wsp7V+BMeX7o22EMPA6VJ0/yea8ei0wBf6suXLyvd33MePmSgUCgs5TgXi8VH9cy65td4QJokSXQ6nYXbswyCMAAAAHhDzs/PH4VPV1dXj8oNw5pKpRKXl5dLXdB9PNT4y1/+slBdR0dHj9o2ywiiNE1H7VjlOlSLPN0yC5PasozRYEOTnno5HIX3nPHz9OLiYmltWoQgDAAAAN6Yh9PTWq3WvSmPaZpGo9GIQqEw81S2WT0MXpaxQP3DEV1Jkjw78mh8kfxFpmfOarjW1YcPHzLf10tMCqWWGXpOqmvWIGz8uPzxxx/LatJCBGEAAADwxhQKhXvTEyMiPn78eO91mqbRbreXGopEPJ4at4wgbNJC98+NChv2fxmjwdI0fXLttfH11Wq12qtaJD8i4tu3b4++N2kU17wmHd9Zfwd/+tOf7m0za4CWpZ/X3QAAAADg5Y6OjqLdbo+CqU6nM1o8vtPpxNHR0cLrd03yt7/97d77ZQRthUIhjo6O7q0NNuzLpCCm1+uNQpVlrQ/2XKD37du3VxeCRUwOpZYdfj40KXyb5OHvtNfrLSU4XYQgDAAAAN6o8/Pz2N/fH72vVqsR8T2AeDhibFmyCoMajcajRfKbzebEfpycnETE8p4UWSgUJq6z9lCv14uPHz++qjXCJoVeyzxGk+qadcTZw7bNGqBlydRIAAAAeKOKxeK9KYRpmo6mRGYlqzCjWCw+GsH2cO2ziPuL5E+aUpmlUqmU6e92HpNCqWUeo0l1zTvi7DWMqBOEAQAAwBtWr9dXslj80HiYsewpeI1G49H3Ho4SGy66XiwWV9rvoUmB3TotsobXLCat6zXr9MaHId0//vGPpbRpEYIwAAAAeOMejlIaTpHM2rJH+FQqlUchy3Aa5NBwBNwyFsmfV6lUynwdrllNCgOXuSj9pGO87nW+FiEIAwAAgDfu4TpaSZJMHF21DFkHQA/bnabpaFRYFovkz6PZbD77VMtVehiGJUmylJBy0lpoLxkN93Ba5fhTJNdFEAYAAABvWK/Xi9PT00cLx5+enmayqHvWo4GOjo4ehW3D0Gl8kfzXMiLrNZgUTg2fJrqISXUcHBzMXd9rOGaCMAAAAHjDqtVqFAqF+P333x+NDMtiiuTDdZ+yWAD94WivJEmi0+mMFslf57TIp3Q6nZUtBt9oNO6FnJMeGnBxcbHwfibV8ZKReA9/H69hSqUgDAAAAN6oWq0WSZLE77//HoVCIY6Oju5Nk0uSJE5PT5e6z4cjgrJ4iuSkYGcY6r22xeojvo+cqlarmT1Rc9xwBOB4qFQoFB6NCHz4kIF5PBwRVq/XXzSq6+FaZe/fv1+4TYsShAEAAMAb1O12o9VqRaVSuReCPFw4v9FoLHXx9Ich1DLrHhqGepO8xtFgtVotCoXCSkY8ffz4MYrF4pPTR8ctEoY9DFALhcLEgHKa8adETmrzOgjCAAAA4A0ajpB6GHwVi8VHocgyp0g+DHyWMQVvkqcW+1/GIvnLHLk1DBqfGqW27H31er1Ho78ivh/3h1NjG43GXNM10zR99LTOdrv94iBrPCR9LaP4BGEAAADwxlSr1UjTNM7PzyeGE/V6/V5YNZxOtyzjQcwyFmWfZNIUyEqlspRRRctay+v09HT0e/31118z3Vej0Rjt66kF64+Oju4FhWmazhWCfvjw4V67m83mXEHW+LmRxXp189gYDAaDdTcCAAAAmE2n04lqtRrFYjGurq6eLNfr9aJcLt/73uXl5b01xOaVpmlsb2+P3mcVLXS73Xuhz8XFxVJGFm1vbz8KqG5ubmYO2TqdTpycnNxbsP6p7Sfta9bjkCRJdLvdaDab90ZXPff7Hg/NIr4Hl8N15KYZBmfjAdb5+flco/DGz5HnztVV+nndDQAAAABmM1yUPSImTo8bN2m9qg8fPsTnz58XDsMKhULU6/VR2NLtdjOZ+lapVKJYLEaSJFEoFBbeR5IkUavVJo7S2t7ejlKpFO/evZsYGKVpGkmSTFwTrVQqPdpm2r7K5fJozayHT+H89u1bpGk6+u9Ds/wOms1m/OUvf4mPHz9GmqajJ25OC7Varda9qZSFQiHa7fbcv/M//vhj9Pqpaa7rYEQYAAAAvHJJkkS1Wr03Ainieygyae2m09PTOD8/f3Ih+1KpFO12e6HF3cdH/NTr9YmLtS9Dq9WKWq220D6GdWRlvG1Z76vZbEa9Xp+5fKPRiFardS9UGwaMw7BtfATYcFH8l+xjknK5HL1e71WNBosQhAEAAABzGoY+hUIhbm5uMtvP9vZ2XF5eruSpjD+qbrcb7XY7vnz5MhrdNhyRViwWo1Qqxa+//rqUqbNJksT+/n5ELG867rIIwgAAAIC5VavVZ6fdkS8HBwfR7XYzHSk4L0EYAAAAsJD9/f349u1b/P3vf1/KUx15u4YPOCiVSnF5ebnu5jwiCAMAAAAWMpwKd3h4GO12e93NYU3SNI0///nP8e7du7i8vHyVoejmuhsAAAAAvG3FYjEuLy+j0+lkulA8r1eaplEul191CBYhCAMAAACWYDgV7o8//hCG5cwwBBsGoq81BIsQhAEAAABLMgzDvnz5EgcHB5Gm6bqbRMZ6vV78+c9/jlqtFhcXF686BIuI+HndDQAAAAB+HMNRQaenp/Ht27dXH4ywmCRJ4vPnz1EqldbdlJlYLB8AAACAXDA1EgAAAIBcEIQBAAAAkAuCMAAAAAByQRAGAAAAQC4IwgAAAADIBUEYAAAAALkgCAMAAAAgFwRhAAAAAOSCIAwAAACAXBCEAQAAAJALgjAAAAAAckEQBgAAAEAuCMIAAAAAyAVBGAAAAAC5IAgDAAAAIBcEYQAAAADkgiAMAAAAgFwQhAEAAACQC4IwAAAAAHJBEAYAAABALgjCAAAAAMgFQRgAAAAAuSAIAwAAACAXBGEAAAAA5IIgDAAAAIBcEIQBAAAAkAuCMAAAAAByQRAGAAAAQC4IwgAAAADIBUEYAAAAALnw/wBFhWCCZQxxzwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-300, 300, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_x\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"x (VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-300, 300, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"x_EndT_abs\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"x (T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABMIAAAOWCAYAAAANzz7PAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAACseklEQVR4nOz9X4xb933n/78OpRhy41DkuFhgQAKNOHXhXnVFjvYivWqGbBaojaQ1KS3in21gG3Ec/7K94K6HUYzvpTPmpCXwRfeXilT2C/yUGlhpmKwDp0Cqobx3C/xWM1R6Z2wzlAMMQWCBiEesDQuJxfO7mCVDzh/y8M85h3+eD4DIUPPm57xHnFF8XvP5Y1iWZQkAAAAAAACYcz6vGwAAAAAAAADcQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFcNbrBoBRfP7zn9fjx4915swZ/at/9a+8bgcAAAAAANj0v//3/9aTJ0907tw5ffLJJ65e27Asy3L1isAE+Hw+8a0LAAAAAMDsMgxDrVbL1WsyIwwzqTsEC4VCHnYynHq9rlarJZ/Pp+XlZa/bsY2+3TervdO3u+jbXfTtLvp2F327i77dRd/uom93zWrftVpNkjyZ4EIQhpnk8/k6P+wHBwdet2NbOBxWrVbT8vIyfbtgVvuWZrd3+nYXfbuLvt1F3+6ib3fRt7vo21307a5Z7fvMmTOde3q3sVk+AAAAAAAAFoKnM8Kee+45Ly/fwzAM/a//9b+8bgMAAAAAAAAO8TQI29/fl2EYnm563r6+YRie9QAAAAAAAADnLfzSSE4eBAAAAAAAWAyeb5ZvWZaSyaQikYgn1zdNU8Vi0ZNrAwAAAAAAwD2eB2HFYlHf+MY3PO0hmUzqK1/5iqc9AAAAAAAAwFmeL42Mx+Net6BLly553QIAAAAAAAAc5vmMsKWlJa9bwAz6whe+oEePHukLX/iC160shEwmo2azKb/f73UrQ5nVvqXZ7X1W+55Vs/r3Td/umtW+Z9Ws/n3Tt7tmte9ZNat/3/Ttrlnte1Z5eU9vWB7uFn/mzBk1Gg3Pv9EePXqkpaUlPXnyxNM+YF84HFatVlMoFNLBwYHX7dg2q30D846fTWD68HMJTB9+LoHpM6s/l1727enSyGk6sXGaegEAAAAAAMDkeRqE5XI5z2eDSdL58+eVy+W8bgMAAAAAAAAO8jQIe/PNN1293kcffXTq59zuBQAAAAAAAO7y/NRIN62vr3vdAgAAAAAAADyyUEHY7u6u1y0AAAAAAADAI2e9bmAUH330kUzTtF1frVZVKBSGeg0AAAAAAADmy0wEYR999JFyuZzK5bKq1epIY1iWJcMwJtwZvFav1xUOh/vWZDIZZTIZlzoCAAAAAGBx5fN55fP5vjX1et2lbo6b+iDs2rVr2traknQYZgHdWq2WarVa35pms+lSN4NlMhk1m82pOC0VwG/xswlMH34ugenDzyUwfabx57LZbA68T/eSYU1xuvSjH/1IqVRKkjqzucZp1zAMPXnyZCK9wVvhcFi1Wk0+n0/Ly8t9a5kRBgAAAACAO+zOCGu1WgqFQjo4OHCps0NTHYStrq6qUqnIMAxZlqVIJKJoNKpIJCJJevbZZweO8atf/Uqmaer27dt69OgRQdicaAdhXvzQAAAAAACA0Xl5Tz/VSyPbIZgk7ezsaG1tbeSxNjY29Nxzz02qNQAAAAAAAMwYn9cN9BMIBCQdhljjhGCSFIlEdOHChQl0BQAAAAAAgFk01UFYewnkpUuXJjJeoVCYyDgAAAAAAACYPVMdhLVngT18+HCi43mtWq0qkUhMbLxKpaJSqaStrS2Vy+WJjTtsn1tbW0okEgoGgzIMQysrK0qlUhPtCQAAAAAAYFRTHYR95zvfkWVZqlQqExnvBz/4wUTGOY1pmjIMY+BjZWWlM9tt1OtsbW0pFovJMAytra3p3r17ikajWl1ddb3PcrmsYDCobDYrSdre3tb+/r5yuZwqlYoSiYQSiYRM0xz5awYAAAAAABjXVAdh58+f1zvvvKNbt27pX/7lX8Yez+mlkcVi0XZtOzQahmmaWl9f7wmddnZ21Gg0lMvlFI/HO/uqudVnuVzuhFzpdFo7OzuKx+OKRCJKJpPa399XNBpVuVxWLBYjDAMAAAAAAJ4xLMuyvG5ikEQioTNnzuhnP/vZyGM8ePBAv//7v68nT55MsLNewWDQVtATj8e1s7Mz1NjFYlHZbLYzfqFQUDqdHqHLyfVpmqYuXLgg0zQViUS0v79/Yl21WtXKyoqtMe3y8qhVAAAAAAAwOi/v6c+6erUR7ezsaHV1Vc8995yy2ayWlpZsve7hw4cyTVP7+/u6ffu2oz0Wi0WZpqmNjY2B+2rZWb7YLZvNamtrS9LhAQI7OzsjL62cZJ+pVKoTqPWbOdaeHVYqlVQul1UsFkcO8QAAAAAAAEY1EzPCPvjgA21sbKhSqcgwjJHGsCxLhmE4NiOsPePptFlRo0qlUiqVSpKkQCCgBw8e2Fr+eJpJ9dk9y0uSGo1G375KpZJSqZSkw6+j0WiMdf1ZmRFmWVJrwE+Yz5BG/LYGAAAAAGDmMCOsj29+85udPa0Mw9Aoud2o4ZldpVJJ1Wp14nuQJRKJnhMX9/b2xgrBJtlnLpfrfGxnb7JkMtn52DRNlUqlnj+bVy1LOvtW/5rP3pbOEIQBAAAAAOC4qd4s/8aNGyoUCp3wa9TJa05Petvc3FQgENDly5cnNmaxWOwJwQqFwlgnTUqT7bN7w/1oNGrrNd3937p1a+weAAAAAAAAhjHVM8LaM5faM8Hi8bgSiYQCgcDQ+4Rdv35dH3300cR7rFQqqlQqkg43oY9EIp0+R53xVK1Wtb6+3nkejUbH3lNrkn22x2m7dOmSrddFo1FVq1VJ6iz3BAAAAAAAcMtUB2HtPcECgYB2d3d14cKFkce6evWqnn322Ql2d+joJvHValXFYrEzYyqZTOratWu2Z01J6uyl1Xbt2rWp6rN7ppok2zPVjtZVKpWh/l4AAAAAAADGMdVLI9v7Tl27dm2sEKw91sWLFyfQ1W9Vq9VjodBRpVJJsVisZ4bXoDG7Z1wFAoGx99KadJ/37t3reW5337KjQeTu7q6t1wEAAAAAAEzCVAdhsVhMkv0ZR4PcuHFjIuO0RSIRFQoF5XI5pdPpvn0Wi8XO19PP0Y3s4/G4pN+euriysiLDMBQMBhWLxbS1tSXTNF3ts728sXt8O47WTfqEzVn17n2vO8CwBv3MAQAAAACm01QvjVxfX9fdu3ePBS+jmvSMMEnH9u4yTVPFYlGbm5vHbpYrlYoSiYR2dnZOHa97E3pJWlpaUiwWO7Yvl2manX2/stmstre3+84cm2Sfk3o/FiFMsBNyvVaSzviklyf/7YkJqlQqunXrlorFouLxuLa3t71uCQAAAAAwpKmeEZZMJnXx4sWJnTD44x//eCLj9BMIBLSxsaFGo6Ht7e1jywbL5bK2trZOfG21Wj0WDt2+fVvr6+tqNBqyLEuWZWl/f/9YsJVKpYbagH6cPkcNsI5e4+HDhyONMysePZbe+Im92tffk5qPHW1nrrUD4UQioZWVFQWDwZ6Zk4lEQtls9tQlwqlU6thMSNM0OzMxh5mBCQAAAACYXoZlWZbXTfRTrVb1+7//+/rRj36kP//zPx9rrEuXLh3b38pppmlqbW3t2L5fjUbjWG25XFYikeipe/Dgwal7cBWLxZ49vQbVT6pPwzB6ntv9Fjr69cXj8b6z4/oJh8Oq1Wry+XxaXl4eaYxumUxGmUxm7HG6/ef/If2H920W/7wo/czePnLdotGo9vb2hn7dUUffUztO+/6Qhg9m23Z2djrLgQcxTVObm5unBrb9RKNRxeNxraysaGdnR6VS6djfZSqVOrZnX1symWRGGAAAAICFk8/nlc/nxx6nXq+r1WopFArp4OBgAp3ZN9VLI6XDfaWuX7+ub3zjG2MFYY8ePTrxhtZpgUBAe3t7PcsbTdNUuVw+dsN/dMlhOp3uG2ql02nt7e11llO2g4FcLudon4FAYCKzYkYJ7I5qtVqq1Wpjj9NsNsce46j3Pxyi+F+n9eU/u6zvfamqzc3NviFSPB5XNpvV6urqRP4OpcMws32oQjabPfX9jUQiymazisfjffeG297elmma2t3dVS6X63tYw8bGhq5cuaJIJGL768lmsycGYMlksjNWe7xqtapqtart7W3dvn27Z1lxt6Nfc3fQtbKyMrElwQAAAAAwKsuSWgPmovgMaYS5DrY0m82J3IN7aaqDsPZSxt/93d9VMBjUc889N9IJiqZp6vbt25Nubyg3btzoWXp10syXo5vHX7p0aeC42Wy2Z1+xra2tkYKwYfpcWlqaSBC2tLQ09hiTmhHm9/vHHuOoxqfD1X9sBBSNRrW9va319fVj+8VJzs5EikQiSqfTnZlSJ9nb27MdVgUCAcXjccXj8RP3uZMOD4c4usy3n2q1qkQicWJofPSgibZ2KBaPx1UoFLS1taVsNmv7mtJh+HjS+wEAAAAAbmpZ0tm3+td89rZ0xqEgzO/3KxQKjT1Oe0aYF6Y6CPvud7+r+/d/u9u4ZVkjLYNqv3aU5V+T0l6K1Z4Zc9LskqPhkp3AIRKJKBqN9oQMlUpF0WjUsT5HnYU0ytc3yPLysuvTKO0KPj16/WlBWPdSWKec9D0lHYZwo75n6+vrJ/Y+TAh2dGmtdPg9dPfu3aG+3zc2NpRMJhWLxXq+J/vtWTepmXcAAAAAMMsmta1Qe7sjL0z1ZvmXL1/ubBAvjbaP0TQ5ehN/1GmzcAZZXV3teT7uEq5BfR69nt3ZYUeDhlG/3lnx4vPD1b/QVX/assN+yxEn6aTrjHPtk147TLjUPsn06OuHDcG6+zm6nx6b4AMAAADA/JvqIKw9g8QwjE4gNupjGnSHASctCzwaDNi9MT8aKI17GuOgPo+ermc3eDu69NPupuiz6pWo9PnP2at95inp1a4857SQaBLLSWdNtVrV2trasT/f3t4eeeaj9Nt98eZNqVRiP7M++u1XBwAAAGD+TXUQdv78+c6Nbi6X087Ojvb29oZ+bG9v6+LFix5/Nb0B00lBx6gzu46ONW5Y4lSf3cFeIBBwbXaTV86fk77/VXu1178m+c852s5QTvoeevbZZyc6nt3v01QqdSwUbu9lNq5IJKKNjY2xx3FDpVLR+vq6VlZWZBiGgsGgVlZWFIvFOqd0lkolXb16dWDYUy6XO6+f92CoWq2qWCwqkUjIMIyBM17dtkjvBQAAADANpnqPMEm6cuWKVlZW9Oabb448xsWLF/XSSy95Pptmd3e38/FJN2NHZ7ccnUFl17gBk50+u0+OvHfvnq1DDLrHPRqmzauXL0qvnX4ApCTpZvKwDseVy+UTN9kf50CIo65du9bZe9A0zanbD8w0TV29erVzkmgkEun8vFWr1c4JmN0njQ6aTdoOF03T1Pr6+sj/1kyzarWqVCqlarU61cteF+G9AAAAgLvevS+9Ghtct6imekaYdLh8blJLG70OX7pvcE6bzdL953ZnBxy9yRtnuZhkr8/Lly93Pj4pqDhJd92wp/bNs68Tgp3qpA32x9m0/ySBQGCoTfvd1p7tJR2esrm/v6/t7W1tb29rb29P+/v7A0+gPcrrXwq4IRKJaG9vT41GY6pn/S3CewEAAIDJeff+4JrXSvbqFtXUB2EXL16c2OyPv/qrv5rIOKNq38z2uynrDojszmSwE1wNw06f3QGFncCuuyYSicz9/mAYX7lcPnHZ7bVr1yZ+rVQqJWn0/fXK5bJSqVTPssVEInHiyZ/D2Nra6vzsbGxsnBjYRSIR7ezs9Pw7OWi5cqFQUCQSUSQS0fb29lg9zoJpWw7ZbdHeCwAAAIzu0WPpjZ/Yq339Pan52NF2ZtbUB2GSdOHChYmM87d/+7cTGWcU7Q2sA4FA3xv5eDzes7Rxc3Nz4NjdIdO4oaHdPqPRaE+Y1b0s6yTdN3jMBoMdp4UC4854PEk8Hlculxt6do5pmorFYkokEj2b1JumqXK53NnTy+6syaO6f/5Pmh3XbWNjoxNeDwr04vG49vf3tb+/78jf57TxatbVoPdMWrz3AgAAAKP7YUX65Df2aj/+tXRztNuQuTcTQdikdO9RNa72BsftzZf73ehWq1VdvXpVknT37t2By7q6A4Ctra2+szu6Z82k0+ljN1JO9lkoFDof9wvsTNPszIyJx+NTvQwN0+OkmYZOziTc2NgYaslltVrVhQsXBoZc1WpVsVhs6I3QR9nbKpfLKRqNcmrkFCgWi2PPCAQAAAC6vf/hcPU/HbJ+UcxkEPbRRx/p5z//ue3Hj3/8Y33lK1+Z6IbJ29vbnfHK5bJisdiJv/1vf25pacn2b/yj0WhPyJRIJE7svb258kmvcaPP7qU8lUqls+H4UWtra5IO92Ji6Q/sqFarJ4Y50zJjxjTNzibnyWRShUJBe3t72tnZOXVJcSKRGCqgOvozbzdIu3bt2lRvDr8IqtWqrdlgAAAAwDAanzpbvyim/tRI6TD4yuVyp+4ZZIdlWTIMY2I9pVKpY7/tLxaLun37tuLxuJaWlrS7u6tKpaKNjQ1du3ZtqNkm6XRakUikc+rZhQsXdO3atc6MmHK5rM3NTZmmqXQ6fWII5kafyWRSOzs7SqVSymazunfvnq5du6ZIJKLd3V1ls1lVKhVFo1Fbs8zmjc+QPnt7cA16nfZzvrKy4nInJ2uHUjs7O8dmqcXjca2vr58YfKVSKe3t7dm6xtHTX7PZrC5fvjzwZ6h9ouQ0noC5CEzTnOo9yQAAADC7gk87W78opn5G2LVr17SysqJisaj9/X1ZljXSY9La+7q0A6vuG85KpaKHDx/q2rVrajQayuVyI92QxuNxNRoNFQoFra6uanNzU7FYTGtra7p165bS6bT29/dPDcHc7jOXy6larWptbU3BYFCpVEpLS0ud0+0W8abcMKQzvv6PCeazc+O0IGyaTtg7KQRra29gf1SlUrE9sysQCPT8zLT3I7PzywDLshby581rpmlqbW2NpakAAABwxIvPD1f/wpD1i2Kqg7Af/ehHyuVynSBrkjO6JiESiahQKGh/f1+NRkOWZanRaGh/f1/b29tKJpMTuRlNp9Pa2dnpucbe3p5yudyxWSNe9rmxsaG9vb2ea+zs7HRmqGC2ZbNZGYYx0iMWiw11rdOW9k1LuBMIBAbuVxaJRE48vGKYAy2O1lar1c4vBsZVqVQ6m/n3097jLxaL9Vy3vfyvvQfhysrKicujq9Wqstls50TNlZUVra+vn/get69z9PvnqEQi0Rmv+zHJJaHFYrHnOsFgULFY7NQl4JVK5cQ947r7O+3v2u570Waapra2tpRIJDp//+3+stmsrSCuWq1qa2vr2GEO3e/ByspKZwkwAAAAvPdKVPr85+zVPvOU9Op07CwzdQzLielSE7K6uqpKpSLDMGRZliKRiKLRaCf8efbZZweO8atf/Uqmaer27dt69OiRnjx54nTbcEE4HFatVlMoFNLBwYHX7TjipACg0Wi4Egatr687vtF3JBLR/v7+UNfvNwvLSdlsticAicfjJ874OkkwGDwWJAzzz24ikThxFlk0GtWNGzeG2jetUqmoUCjo9u3bnZ4CgYAajUZPXTv8unXrVk9IUigUlE6nj/19dOteqt2vLhKJnDpT9Oj7f9rf19bWVs8ptKf9fFQqlZ4wtt/ff6lUUiqVUiAQ0I0bNzpBfqVS6SxVP6l30zRVrVZVLpd7ejq6FLb9ftl9L44qFoud/cdyuZzi8bgCgYAqlYo2Nzc771cymTy2J6Npmtrc3Ow54bTdYyQS0dra2omHPwQCgU4NAAAAvHVzT3qtNLju7y9LL190vp9ReXlPP9V7hLVDMOnwBri96fooNjY29Nxzz02qNWDhpNPpkTcA393dHeq1p4V90zIzZZgwMh6Pq1Tq/X+q9r55drT34DtpjFgspmQyqRs3bgzsqVqt6tatW7ZnHUWjUQUCgZ73bW9vr3Ooxvb2tqLRqJaWlrS5udkJvNpBTTab1cOHD7Wzs6PV1VVJh98H7RlG1WpVm5ubJ86QO2lvw5Mkk8me0Glc5XJZqVRK0uGy/O7ZrNFoVNvb253lqVevXu0JmgKBgKLRqB4+fNgz5knv87DvRVs7WDwpmIpEIkomk53vlVKppJWVlZ7A7uHDh53DV7r/fnd3d7W2tqZ4PN6ZadwO9EzT7BzMYjf8BQAAgHNevjg4CLuZnO4QzHPWFAsGg5bP57O+/e1vT2S8lZWViYwD74VCIUuSFQqFvG7FMZKOPRqNhivXTqfTx66dy+VGHm9vb+/YeJFI5NT6XC534tdfKBRG7mEcGxsbPX0kk0nbr93e3p7I13Ha38koY3aPFQgE+tZGo9Ge6+zs7JxYF4/He+rS6fSJdd1/H6dde2dnp2es0zQaDVs/H0e//06TTCYHfr8PGsdu721234tCoWD7vY5EIp3aeDw+8OsIBAInvq9Hv3fd+vcHAAAAp/vsiWXp2/0fnz3xusvBvLynn+o9wtq/7b506dJExuu3qTyA6THtM8KGcdJyslG+jo2NDTUajVP33GufVGln7GGWuHUfUJBOp09dmnr0pMTT/r3t7r8922ganfY92P3nk9gU3+570Z75FggElE6nbdVKh7PcTlpa2/113Lhx48T39ej32u7urq1eAQAAgGk21UFYeynk0aUm446H+VGv1xUOh/s+8vm8121iSKeFA6ftKTbNTgpUfvWrX408VvsU1pOW3JXLZa2trU00XLK7DLT7PRtm6eg0nbB448YN5XI5bW9vDwybJPeC2WKx2LmWneAsnU73vAfDHNBwVPf1pum9AgAAwPTK5/MD79Pr9bpn/U31HmHf+c539L3vfe/EzXtH8YMf/EDf+MY3JjIWpkOr1VKtVutb02w2XeoGk3LarKOTZrZMu5OCCzsHffQTjUa1t7fXs3F6W6VSObZ/lRtGPcRhUr/omIRAIKCNjY0TPzep/x8aRffeXHZnkHXvTTeLPzcAAACYXc1mc+B9upemekbY+fPn9c477+jWrVv6l3/5l7HHY2nk/PH5fAqFQn0ffr/f6zYxgtM2GZ/WpXTDmNTpe+l0Wvv7+8dCqFKpNNXhhxsnn05CtVpVsVhUuVxWNBod6oTOSfcxrKPfY/PwcwMAAIDZ4Pf7B96n+3zexVFTPSNMOtwXp31q2s9+9rORx3nw4IGnv9GHM5aXl10/ahXuuHLlyok/s+Vy+dR9sqZVIBDoCSImFYS1x2qf5th9jUKhcOrMOvRXqVSUzWYVjUbHWlY4Kd3vq91Q7OiJlA8fPpyZABIAAACn8xnSZ28PrvFSJpNRJpPpWxMOhz2bNTb1QZh0uCxkdXVVzz33nLLZbM/mzf08fPhQpmlqf39ft2/fdrhLYHZUKhVtbm66vnxuGOl0umfT77ZCoTBzQdjR2TiDZhaVy2Vls1nt7e3ZGj8SiejGjRtKpVKdPyP4H836+rqKxaLS6fRUhGDSaBv0H/3/yUmGrwAAAPCOYUhnPA66Zt1MBGEffPCBpMONso/uh2OXZVkyDL5bAEm6evWq7UDZK4FAQMlksrPPUVu5XFalUvFsmdqwjoZgdmZpRSIRVSoVlctl27O6joaDbGw+vHYIJo23wfyktb8fpN+etDlodlf33muEYAAAAMBvTfUeYZL0zW9+U4lEQvfv35dhGLIsa+gHgN9qB0mJROLUmklvYD7qeKeFESfNFBuXU3so7e7u9jy3E+a3g4tRg39p8KyzeTDJ79NKpdIJwSKRyFQtI7xy5UrP83af/XSfsDprMygBAAAAJ011EHbjxg0VCoVOmDVqqEUYBhwyTbOzfG7Ym+Nf/epXE+3FTogRiURODMPK5bK2trYm1ku1WlUsFhsreDrN0RP/7P69RyIRVatV26Hf0RlgR8OTWXJ0tuJpIeUkZ711Hy7Qb1wvNp1PJpM9wZydg1+6v55r16450RYAAAAwk6Z6aWT7P/bbM8Hi8bgSiYQCgcDQ+4Rdv35dH330kYPdApPjxM22aZpaW1vrLKsadrnUpHuyO177wIyjpyC2NzMfd0P4crmsRCJxaug2ru6lncOcXNsOwra2trSysqJ0Ot23vnvsSCSijY2N4Zs9gd33qbtu0GsGff7obLZisXjs6zkpJJzkhvClUulYaHnS9Y46+nNVrVZ7/szOssaTdO8BV61W+y6brVQqnaWUuVxuqma3AQAAAF6b6iCsUqnIMAwFAgHt7u7qwoULI4919epVPfvssxPsDnDOaTNSRr3RL5fLWl9f74x7+fLloa8/zjK0cWfutE+OPbpfWCKRUC6XGyn0MU1T2WxWxWKxc/Ki3b9bu+FQsVjsfO3pdHqo0K47PFlfX9fe3t6poUaxWOyZIdc9C+0k3e+lFzOcup12/Xg83gk/s9ms9vf3lUqlZJqmdnZ2VCwWO98X7TGOhk5tR793TwqjjoZvqVRKuVxO0WhUlUpFhUJB0Wi0E1BKvw0fd3Z2dO3atRMD5vX1dW1vb+vhw4fK5XJaWVnp+X61+14kk0nlcrlOGJdKpfTgwYNjX4dpmrp69aqkw++503427L7v3T+7Xn+vAAAAABNhTbFgMGj5fD7re9/73kTGi8ViExkH3guFQpYkKxQKed2KI9LptCXp2CMej1v7+/sDX99oNKydnR1rY2PDikQix8bZ3t4+9bX7+/snXluS1Wg0Rvp6otHoieMVCoWhxtnY2DhxnGg0au3s7Ngao9FoWLlczgoEAp2/00Ff19HrBgKBgdfp/nuMx+O2eutWKBRO/FqTyaS1sbFhFQoFK51O97y/dr8/jr4fp30/NBqNY3/Pp0kmk7be252dnZ66dDp96rXb79HRRyAQ6Lzf3TXRaNTa398/9n7a7e1oXfcjl8tZlnXyz2YymewZ57Tv05O+VrvvRdv29nbnaw4EAlahULD29/et/f19q1AodL4f2v2exO57cLRulO9jAAAA4CRe3tNPdRAWj8ctn89n/ehHP5rIeJVKZSLjwHvzGoTt7e31vRmf1OOk4KfRaFiFQuHU8EGSFYlErEKhYDsQ29vbs+LxeN9eNjY2bIU3bTs7O6cGa4FAwEomk1ahULB2dnasvb09a2dnxyoUClYul+t5XSAQGBg6tJ0UDkYikVPDt+6w4mhIMszX2e5xe3vbSqfTVjwet6LRaM971P6aBwWB7e+t097faDTaCU/61UYiESuZTHa+B46GcUeDk/aYOzs7p34vRCKRE8OYRqPRM340GrU2NjZ6atp/dvR7qNFoDPx6T7pmLpfrXC8SiVgbGxs93++NRqPzdXT/nR3VHUJHo9Ge77Vh3ovTFAoFKx6P94Ri7ded9vPZ7+ex+z3Y39/vWzeoNwAAAGAQL+/pDcua3p3kS6WSLl++rK2tLf2n//SfvG4HUyQcDqtWqykUCung4MDrdsZWLBYd2aj9JNFoVHt7ez1/ZhjG0OMEAgE1Go0TP3fSMkY7dnZ2bC8fLJVK2tzc7OyFZFckEtH6+rrS6fRQy0zbe1Id/boCgYBWV1cVCARkmqZ2d3c7S++2t7fH3sMMAAAAAOaNl/f0Ux2ESVIsFpPP59O9e/fGHuvHP/6x/uIv/mICXcFr8xaEYXSmaapcLuvWrVuqVqsyTbOzr1EkEuns23Tp0iUlk8mhDwkYdL32NdvXWV1dVSqVIgADAAAAgFMQhPVRrVb1+7//+/rRj36kP//zPx9rrEuXLk0kUIP3CMIAAAAAAJhNXt7T+1y92ggikYiuX7+ub3zjG2ON8+jRo6GXUAEAAAAAAGB+nPW6gX5+/OMfS5J+93d/V8FgUM8995ySyeTQ45imqdu3b0+6PQAAAAAAAMyQqQ7Cvvvd7+r+/fud55ZlaWtra6SxLMsaaUNwAAAAAAAAzIepXhp5+fJlWZal9jZmBFkAAAAAAAAY1VQHYevr65IOA7B2IDbqAwAAAAAAAIttqpdGnj9/XtFoVPfv31cul1M0GtXS0tLQ41SrVX33u9/Vz3/+88k3CU/V63WFw+G+NZlMRplMxqWOAAAAAABYXPl8Xvl8vm9NvV53qZvjpjoIk6QrV65oZWVFb7755shjXLx4US+99NJIIRqmW6vVUq1W61vTbDZd6gYAAAAAgMXWbDYH3qd7aeqDsHg8rnv37k1krNXV1YmMg+nh8/m0vLzct8bv97vUDQAAAAAAi83v9ysUCvWtqdfrarVaLnXUy7BmYAOtBw8e6MKFC2OPc//+fV28eHECHcFr4XBYtVpNoVBIBwcHXrcDAAAAAABs8vKefqo3y2+bRAgmiRAMAAAAAABggXkahE3T5vXT1AsAAAAAAAAmz9MgLBaLTcVG5o8ePVIsFvO6DQAAAAAAADjI0yBsmrYnm6ZeAAAAAAAAMHmeBmGGYXh5+R7T1AsAAAAAAAAmjxlhAAAAAAAAWAienxr54MEDr1vQ7u6u1y0AAAAAAADAYWe9buDq1av69re/rUAgoKWlJVev/fDhQ1WrVW1sbLh6XWAUliW1Bkyi9BkSq3wBAAAAADiZ50HY3t6eUqmUpz1YlsUeYZh6LUs6+1b/ms/els7wrQwAAAAAwIk8D8LavNovjAAMAAAAAABgMXgehHm9Yb7X1wcAAAAAAIA7PA3CGo2Gl5cHAAAAAADAAvE0CDt//ryXlwcAAAAAAMAC8XxpJAAAAAAAwLyyrMPDz/rxGRJbmLuDIAwAAAAAAMAhLUs6+1b/ms/els4QhLnC53UDACbn3ftedwAAAAAAwPQiCANmhJ2Q67USYRgAAAAAAKdhaSRmWr1eVzgc7luTyWSUyWRc6sgZjx5Lb/zEXu3r70kv/qHkP+doSwAAAAAAHJPP55XP5/vW1Ot1l7o5jiAMM63VaqlWq/WtaTabLnXjnB9WpE9+Y6/2419LNyvSt77kbE8AAAAAABzVbDYH3qd7iSAMM83n82l5eblvjd/vd6kb57z/4XD1P/2QIAwAAAAA4D6/369QKNS3pl6vq9VqudRRL4IwzLTl5WUdHBx43YbjGp86Ww8AAAAA8M6796VXY153MRl2ticKh8OezRpjs3xgBgSfdrYeAAAAAOAMDj6bLgRhwAx48fnh6l8Ysh4AAAAAMHnDHnzWfOxoOxBBGDATXolKn/+cvdpnnpJejTrbDwAAAABgsFEOPoOzCMKAGXD+nPT9r9qrvf41yX/O0XYAAAAAADaMcvAZnEUQBsyIly8OrrmZtFcHAAAAAHAeB59NH4IwYI58nRAMAAAAAKYGB59Nn7kMwh49eqRvfvObXrcBAAAAAAAWGAefTZ+5DMKq1aqKxaJ++ctf6oMPPlCz2fS6JQAAAAAAsGA4+Gz6zGUQVi6XZVmWIpGIEomEgsGgvvOd73jdFgAAAAAAWCAcfDZ95i4Iu3v3rrLZrCTJsqzOI5fL9Q3DvvnNb+q5557TpUuX9J3vfIdZZAAAAAAAYGwcfDZdDMuyLK+bmKTV1VVFIhFduXJF0WhU1WpVd+7c0fe+9z0ZhqFqtarf+73f63nNc889p2q1qu6/ipWVFe3t7cnv97v9JcCGcDisWq2mUCikg4MDr9txxZOWdPat/jWfvS2dmbt4GwAAAABmF/dyx3l5Tz+XQdju7u6xPzdNU7FYTJcuXdJ//a//tfPn3/zmN1UoFGQYhjY2NrS5uSnTNJXNZmWapm7duuVm+7BpEYMwy5JaA35afYZkGO70AwAAAAAYjCDsOC/v6efur9k4JQUIBALa29vT/v5+z5+3Q7BkMqnNzc1ObaFQUKPR0EcffeR0y4AthnH4D2O/ByEYAAAAAACnm7sgLBgM6m/+5m9O/FwgEFAwGOw8v3HjRufjXC53rD6bzapcLk++SQAAAAAAALhu7oKwjY0Nvfnmm3rjjTdO3PC+0Wh0Pm7PBovH4/riF794rHZ1dfXYDDJgHljW4fTcfo/5WjQNAAAAAIB01usGJi0ej+vq1au6fv26CoWCksmkLl26JEm6deuW9vf39ZWvfEXRaFSVSkWGYWh9ff3Esc6fP69qtepm+4ArWpbNNeostQQAAACAsfiMw/urQTVwx9wFYdLhTK+HDx/qRz/6kUqlkkqlUudzu7u7+u53v9uzFDIajZ44zv3797W0tOR4vxhdvV5XOBzuW5PJZJTJZFzqCAAAAACA3zKMxZpkkM/nlc/n+9bU63WXujluLoMwSdre3laxWFSpVFK5XFYgENCNGzd08eJFbW9vK5VK6e7du8rlclpfX9c//uM/HhujWCxqZWXFg+5hV6vVUq1W61tz0hJZAAAAAABOY1mHK2n68RkcWHaSZrM58D7dS3MbhElSOp1WOp0+8XPb29udj4PBoC5duqQf/OAH+qM/+iM1m01997vfVbFY7NlTDNPH5/NpeXm5b43f73epGwAAAADAPGA7mdH5/X6FQqG+NfV6Xa1Wy6WOes11EGZXMplUtVrVxYsXZXTFue+88w4hypRbXl7WwcGB120AAAAAAADZ254oHA57NmuMIOz/2NjYUCQSUbFYVCAQ0JUrV/TSSy953RYAAAAAAAAmxOd1A5P2wQcf2Kr78Y9/fGzvqGQyqTt37uj27duEYFh47973ugMAAAAAACZr7oKwZDKpM2fO6Ctf+Yr++q//Wj//+c9PrFtbW9M3vvENffTRR672B0wDOyHXayXCMAAAAADAfJm7ICwWi8myLJXLZWWzWcViMT377LPHgrHz58/rxo0bSqVS+uUvf+lqj9VqVYlEYmLjVSoVlUolbW1tqVwu23rN1taWEomEgsGgDMPQysqKUqmU7de7NSYm79Fj6Y2f2Kt9/T2p+djRdgAAAAAAcM3cBWGlUknxeFwXL17UhQsXZFmWGo2GdnZ2OsHYmTNn9G//7b/VO++8o0ajofX19Ylc2zRNGYYx8LGysqJIJDLWdba2thSLxWQYhtbW1nTv3j1Fo1Gtrq72fW25XFYwGFQ2m5V0eHrm/v6+crmcKpWKEomEEomETNO03Y8TY8I5P6xIn/zGXu3Hv5ZuVpztBwAAAABmEStoZpNhWZbldROTdOXKFeVyOX3xi1/s/Nndu3d1+/Zt3bhxo6fWMAxZliXDMPTkyZOxr721tdUJgwbZ398fOgwzTVPZbFbFYlGSFI1GlcvlFI/Hbb2+XC53ZqKl02kVCoVjNbFYTJVKRZFIRHt7ewoEAq6PaUf7hIlQKMSpkUP6yv8j3fnnIeqfk372753rBwAAAACmzc29w+1iBvn7y9LLF53vZ954eU8/dzPCLMvqCcGkw/3ACoWCGo2G3nzzzU6A9NJLLykajeqdd96ZyLU3Nzdt1cXj8aFDsGKxqAsXLnRCsEKhoL29PdshmGmaSqVSkqRIJHJiYCUdzuaSDpdvtuvdHBPOa3zqbD0AAAAAzDK2k5lvZ71uYNIePXp06ufOnz+vXC6nBw8eKJvNamtr61hoNqpisSjTNLWxsTFw/69ByxePavcqHQZOOzs7QwdpqVSqszSx36y1SCSiZDKpUqmkcrmsYrGodDrt2phwXvBpZ+sBAAAAYJaNsp3Mt77kbE+YnLlbGvn666/rueee03/8j/9xYO2f/umf6saNG/q93/u9sa+7srIi6XDJ4ySlUimVSofzMQOBgB48eDD00sJqtdrpT5IajUbfMUqlUmfmViAQUKPRcGXMYbA0cnT/+X9I/+F9+/V/+yL/qAMAAABYHGwn4zyWRk7QxsaG3nzzTf23//bfBtbevn1b8XhczWZzrGuWSiVVq1Xb+4PZlUgkOiGYpJH318rlcp2P4/H4wDGSyWTnY9M0e3pwcky445Wo9PnP2at95inp1aiz/QAAAADANGE7mfk2d0FYJBLRO++8o2QyqTfeeKNvbSAQ0MWLF/Xtb397rGtubm4qEAjo8uXLY43TrVgsqlwud54XCoWRT5ps7ysmHW6wb0f3tW7duuXKmHDH+XPS979qr/b61yT/OUfbAQAAAICpwnYy823ugjDpcFbYX/zFX+j69ev63d/9Xf3N3/zNqbO+lpaWxgplKpWKKpWKTNNUMBjUysqK1tfXx5rxVK1Wtb6+3nkejUZH3lOrUqn0PL906ZKt13WHW0e/FifGhLvsnGpyM8npJwAAAAAWz4vPD1f/wpD18NZcBmHS4UmFV69e1cOHD7WxsaFgMKgrV67oBz/4gX7+85/r5z//ua5du9bZ5H5UR5dDVqtVFYtFpVIpGYahVCp1LDga5OjJiteuXRu5v+5ZZZJszyo7Wtf9NTgxJqbP1wnBAAAAACwgtpOZb3MbhEmHywlv374tv98vy7JUKpW0vr6uWCymWCzWOYnR7tK+o6rV6rFQ6KhSqaRYLNYzw2vQmN0BUSAQ6Nlfa1j37t3reW53j7Fnn3225/nu7q6jYwIAAAAAMA3YTma+zXUQJh1u0t5oNPTOO+/o/Pnzsiyr5xEIBHTjxo2Rxo5EIioUCsrlckqn031nRhWLRcVisYFjFgqFnufxeFzSb09dXFlZkWEYCgaDnTCv34y2arV6rGc7jtZ1n4bpxJgAAAAAAEwLtpOZX2e9bsAtGxsb2tjY0P3791WtVlWtVhWJRBSPx3X+/PmRxz26d5dpmioWi9rc3DwWUFUqFSUSCe3s7Jw6Xvcm9NLhHmaxWOzYMkLTNDv7k2WzWW1vb584c+xoaDWq7q/FiTEBAAAAAJglbCczm2Y2CPvmN7+pv/u7vxv6dRcvXtTFi859twYCgU7oViqVdPXq1Z7Ap1wua2trSxsbG8deW61Wj4VDt2/fVi6X0+XLlztLEKvVqnK5XE9olkqlTgzDRg2bji53fPjwoaNjjqperyscDo89TiaTUSaTGXscAAAAAADmVT6fVz6fH3ucer0+gW5GM7NB2O3bt7W1taUvfOELXrdyqmQyqXg8rrW1tZ4ZXZubm6cGYd0CgYAePHhwLEBqL8k8uvfY1atXFY/Hbe/ZNQwnZm9NYsxWq6VarTb2OKedKgoAAAAAAA41m82J3IN7aWaDsEajoS9+8Yu6fPmyUqmUvvzlL3vd0okCgYD29vZ6ljeapqlyudzZ/6vtaBCWTqf7hlrpdFp7e3udmWGmaWpzc1O5XK7n+pMInLr7cGLMUfl8Pi0vL489jt/vH3uMWeIzpM/eHlwDAAAAAECb3+9XKBQae5x6va5WqzWBjoY3s0GY9Nv9uNpBUDweVyKRUDKZ1Be/+EVvmzvixo0bPZvl7+zsHAvCjm4ef+nSpYHjZrPZniWSW1tbPUHY0tLSREKrpaUlR8cc1fLysg4ODsYeZ9EYhnSGoAsAAAAAMIRJbSsUDoc9m1k286dGdp8AWS6Xlc1mtbKyomeffVbf/OY39eMf/3jgGD/4wQ8c7zMajfYEXydtOH80XLIzYyoSiSgajfb8WfcyzFFnXfXrxYkxAQAAAACYFu1VNP0erKKZTTMbhL3zzjuyLEuGYWhlZUVSbyjWaDRULBaVSqV05swZXbp0SX/913+tn//858fG6neK4yQlEom+n29/HcNaXV3ted4dsh39nN2ZXEc3su/uzYkxAQAAAACYFoYhnfH1fxgEYTNpZpdGbmxsKB6PK5VK6eHDhyqVSrIsS//1v/5X3b17V6ZpyrKsTn2lUunMlAoEAp1llJJUKpVc6TkSiXQ+PmlZ4NEZUnYDpqOBUnfg1L0cUzoMyY7OIDvJ0WWa3bPZnBgTAAAAAADAaTM7I0w6XG64v7+vb3zjG0qlUrp79662t7f18OFD7e/vK5fLdcKWo7PFSqWS1tfXe05ddFp3EHbSssB+M7v6OTpWd8g26pjdIVwgEOjp3YkxAQAAAAAAnDbTQVhbLpfTvXv3dOfOHf3BH/yB/umf/kkXLlzQm2++qTt37qjVamlnZ0fpdLoTvnQHY27Z3d3tfHzSMsmjs6qOzqCyqztgikajPUHZvXv3bI3R3evR4MuJMQEAAAAAAJw2F0GYdBjO/OIXv9Cf/MmfKBqN6jvf+U7P59fW1nT9+nX94he/UKPRUKFQcH1pXnewddq1u/+8XC7bGvfoEsqjgdrly5c7H3dvpN9Pd102mz32eSfGBAAAAAAAcNLcBGFthUJB//iP/6jr1693Zocddf78eV29elV37tzRnTt3XOutvRfZxsbGqTXdAVG1WrW1T9iggK17+aedcK27JhKJuDYmZpNlSU9a/R8uTrwEAAAAAOBUcxeESYdhULVa1R/90R8pGo3qb/7mb/rWrq2tOd5TqVRStVpVIBDQtWvX+vbTvbRxc3Nz4NjdIVMulzv2+Wg02hM8DTocYHt7u/PxaTO3nBgTs6llSWff6v9oEYQBAAAAAKbAXAZh0uFm7Nvb27p165befPNN/Zt/82/0y1/+8sTaVCo19PjlclnBYFCGYSiRSPRdHlitVnX16lVJ0t27d0/cKL9bd2i0tbXVdzP6crnc+Xw6nT719MZCodD5uF+4ZpqmisWipMNQLp1On1rrxJgAAAAAAABOmdsgrC2ZTOrhw4c6f/68IpHIibPD2iHVMLa3tzvLFsvlsmKx2IknULY/t7S0pP39/VODqm7RaLQnZEokEicukTRNs3PNo685KhKJdAK2SqWira2tE+vas+PaQWI/TowJAAAAAADglLkPwqTDAGZnZ0ebm5sDZ4fZddIssmKxqGAwqFQqpfX1dcViMSUSCaXTae3t7fUseRwknU5rZ2dHgUBA1WpVFy5c0NbWliqVSid0unDhgqrVamf8QZLJZGfMbDarVCqlSqUi0zQ7gV2lUlE0GtWDBw8GzlxzakwAAAAAAAAnGJa1GNtYf/TRR6pWq7pz5462trZkGIaKxaL+8i//cuQxq9WqcrmcyuWyHj58KNM0FQgEtLS0pGg0qitXrigej48d/hSLRW1vb2t3d7dzjfaG8+vr60MFbG1bW1u6detWZ0P+QCCg1dVVra+vK5lMjtSnE2OeJhwOq1arKRQK6eDgYKJjYzhPWof7gPXz2dvSmYWI3QEAAAAAg3h5Tz8XQVg75DJNU9VqVfv7+6pWq6pWq52A6ijLsjr7e21vb+sLX/iC+41jZARh08NOEPb/TUqvxtzpBwAAAAAw3by8pz/r6tUm6NKlS53wq59+OZ9lWbpz546+/OUv6969exPuEFgM794fXPNa6XBG2MsXne8HAAAAAIDTzGwQtre3J8Mw+gZdkjrLCNuPlZUVLS0tdZ6fP3/epY6B+fPosfTGT+zVvv6e9OIfSv5zjrYEAAAAAMCpZjYI6xYMBnX58uWewIuQC3DeDyvSJ7+xV/vxr6WbFelbX3K2JwAAAAAATjPTQdhLL72karWqSqWiYrGoZDKpYDCoYDBICLYg6vW6wuFw35pMJqNMJuNSR4vl/Q+Hq//phwRhAAAAADDP8vm88vl835p6ve5SN8fNbBAWj8d1+/ZtSdKjR4+0s7Oj27dva2NjQ48ePeqcqnj58mX9yZ/8Sd+xPvjgA335y192o21MWKvVUq1W61vTbDZd6mbxND51th4AAAAAMFuazebA+3QvzWwQlkgkOh+fP39eyWRSyWRSklSpVHTr1i3dvXtXhUJBhmEoGo3q3/27f6e1tTX963/9r3vGKhQKBGEzyufzaXl5uW+N3+93qZvFE3za2XoAAAAAwGzx+/0KhUJ9a+r1ulqtlksd9TKsQbvNz7ju2WLlclmPHj1SIBBQPB7XpUuXJEnZbFZPnjzxuFMMw8ujVvFb//l/SP/hffv1f/siSyMBAAAAOMeypNaAlMNnSIbhTj84mZf39HMfhB3Vni32ox/9SNVqVcb/+e4nCJstBGHT4dFjKfRdexvmP/OUVLvGqZEAAAAAnPOkJZ19q3/NZ29LZ3zu9IOTeXlPv3BvfTQaVS6X0y9+8Qvt7u6yJBIYw/lz0ve/aq/2+tcIwQAAAAAA3lq4IKxbNBrVzs6OLl686HUrwMx62caPz82kvToAAAAAAJy00EFYWy6X87oFYK59nRAMAAAAADAFCMIkra2ted0CAAAAAAAAHDYTQdhf//Vf64MPPvC6DQAAAAAAMOPeve91B/DSTARh//N//k8lEgn9l//yX8Ya58aNGzpz5oz+4A/+QP/0T/80oe4AAAAAAMA0sBNyvVYiDFtkZ71uwC7LspROp7W/v6/vfve7I42RzWZlWZZ+8YtfKBqNan9/X1/84hcn2yiwYHzG4fHDg2oAAAAAwEmPHktv/MRe7evvSS/+ISfbL6KZmBHW7c6dO7py5cpIr71w4YIikYjS6bSuXr2qbDY74e6AxWMY0hlf/4dBEAYAAADAYT+sSJ/8xl7tx7+Wblac7QfTaWZmhLXt7u4qlUrp0qVL+uCDD/SFL3zB9mv39vZ6nj/33HOTbg8AAAAAAHjg/Q+Hq//ph9K3vuRML5heMzcjTJK2t7eVSqUUjUb1y1/+cqQxHjx4oIcPH064MwAAAAAA4IXGp87WYz7MZBAmSRsbG/q7v/s7RaNR/ff//t+Heu2jR4+USCS0urrqUHcAAAAAAMBNwaedrcd8mNkgTJLi8bju3bunq1ev2j5R8oMPPlAkEtGDBw+USqUc7hAAAAAAALjhxeeHq39hyHrMh5kOwiQpEolod3dXt27d0ne+852+td/73veUSCTUaDQUCAT0jW98w6UuAQAAAACAk16JSp//nL3aZ56SXo062w+m08wHYZIUCAR0584dPXz48NQTJa9du6Zvf/vbsixLhmEol8u53CUAAAAAAHDK+XPS979qr/b61yT/OUfbwZSaiyCs7fr161pbW9OlS5f0L//yL50/v3v3bif4MgxD0WiU2WAAAAAAAMyZly8OrrmZtFeH+TRzQdigjfHT6bQKhYK+/OUvd06UbIdglmX1PAcAAAAAAIvl64RgC+2s1w3YceHCBUmHQVY6nVa5XNbv/d7vnVofjUZ169YtvfTSS/rOd76jcrkswzBkWZai0ai+/OUvu9U6HFav1xUOh/vWZDIZZTIZlzoCAAAAAGBx5fN55fP5vjX1et2lbo6biSAsl8t1Aq2dnR3F43Fls9m+yxvbm+j/6Z/+aefPDMM4dQ8xzKZWq6Varda3ptlsutQNAAAAAACLrdlsDrxP99JMBGGSdP78eb300kt66aWXhnrdnTt3lM1m9b3vfa+zPxjmh8/n0/Lyct8av9/vUjcAAAAAACw2v9+vUCjUt6Zer6vVarnUUS/Dam+cNedKpZIuX76sGzdu6C//8i+9bgdjCofDqtVqCoVCOjg48LodAAAAAMAUsCypNSDl8BmSYbjTD07m5T39zG2WP6pkMqnd3V3dunXL61YAAAAAAIADDEM64+v/IARbbAsThEmHm+jfuXPH6zYAAAAAAADggYUKwgAAAAAAALC4CMIAAAAAAACwEAjCAAAAAAAAsBAIwgAAAAAAALAQCMIAAAAAAACwEM563QAAtFmW1LL61/gMjjsGAAAAAIyGIAzA1GhZ0tm3+td89rZ0hiAMAAAAADAClkYCAAAAAABgIRCEAQAAAAAAYCEQhAEAAAAAAGAhEIQBmCnv3ve6AwAAAADArGKzfABTw07I9VpJOuOTXr7ofD8AAAAAnMfp8XATQRiAqfDosfTGT+zVvv6e9OIfSv5zjrYEAAAAwAWcHg83sTQSwFT4YUX65Df2aj/+tXSz4mw/AAAAAID5w4wwzLR6va5wONy3JpPJKJPJuNQRRvX+h8PV//RD6VtfcqYXAAAAAMBo8vm88vl835p6ve5SN8cRhGGmtVot1Wq1vjXNZtOlbjCOxqfO1gMAAAAAnNdsNgfep3uJIAwzzefzaXl5uW+N3+93qRuMI/i0s/UAAAAAAOf5/X6FQqG+NfV6Xa1Wy6WOehGEYaYtLy/r4ODA6zYwAS8+L935Z/v1LzzvXC8AAAAApsu796VXY153ATvsbE8UDoc9mzXGZvkApsIrUenzn7NX+8xT0qtRZ/sBAAAA4I537w+uea1krw4YhCAMwFQ4f076/lft1V7/muQ/52g7AAAAAFzw6LH0xk/s1b7+ntR87Gg7WAAEYQCmxssXB9fcTNqrAwAAADD9fliRPvmNvdqPfy3drDjbD+YfQRiAmfJ1QjAAAABgbrz/4XD1Px2yHjiKIAwAAAAAAHii8amz9cBRBGEAAAAAAMATwaedrQeOOut1AwDQ5jOkz94eXAMAAABgPrz4vHTnn+3Xv/C8c71gMTAjDMDUMAzpjK//wyAIAwAAAObGK1Hp85+zV/vMU9KrUWf7wfwjCAMAAAAAAJ44f076/lft1V7/muQ/52g7WAAEYQAAAAAAwDMv2zgZ/mbSXh0wCEEYAAAAAACYal8nBMOEEIQBAAAAAABgIRCEAQAAAAAAYCGc9boBAAAAAACwuHyG9Nnbg2uASSAIAwAAAAAAnjEM6QxBF1zC0kgAAAAAAAAsBGaEYabV63WFw+G+NZlMRplMxqWOAAAAAABYXPl8Xvl8vm9NvV53qZvjCMIw01qtlmq1Wt+aZrPpUjcAAAAAACy2ZrM58D7dSwRhmGk+n0/Ly8t9a/x+v0vdAAAAAACw2Px+v0KhUN+aer2uVqvlUke9DMuyLE+uDIwhHA6rVqspFArp4ODA63YAAAAAAIBNXt7Ts1k+AAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkGYB6rVqhKJxNyNubW1pUQioWAwKMMwtLKyolQqpXK5PNG+AAAAAAAARkEQNkGmacowjIGPlZUVRSKRuRmzXC4rGAwqm81Kkra3t7W/v69cLqdKpaJEIqFEIiHTNG31BwAAAAAA4ISzXjcwT4rFou3admg062OWy+XOrLF0Oq1CodD5XCQSUTKZVCwWU7lcViwW097engKBgO3rAwAAAAAATIphWZbldRPzIhgM2pr1FI/HtbOzM/NjmqapCxcuyDRNRSIR7e/vn1hXrVa1srIydJ/9eHnUKgAAAAAAGJ2X9/TMCJuQYrEo0zS1sbExcF+t1dXVuRgzlUp1ArV+M8faM8NKpZLK5bKKxaLS6bStfgEAAAAAACaFGWET0p7xdNqsqHkbs3uWlyQ1Go2+Sx5LpZJSqZQkKRAIqNFojHV9ZoQBAAAAADCbvLynZ7P8CSiVSqpWq7b36JqHMXO5XOfjeDw+cN+vZDLZ+dg0TZVKpbF7AE5jWdKTVv8HvwIAAAAAgMXD0sgJ2NzcVCAQ0OXLlxdmzO4N96PRqK3XRCIRVatVSdKtW7d6wjFgklqWdPat/jWfvS2dMdzpBwAAAAAwHZgRNqZKpaJKpSLTNBUMBrWysqL19fWxZjxN+5iVSqXn+aVLl2y9rjswY0YYAAAAAABwG0HYmI4uM6xWqyoWi0qlUjIMQ6lU6lhwNOtjlsvlnueRSMTW647WDfs1AAAAAAAAjIMgbAzVavVYKHRUqVRSLBbT+vr63Ix57969nueD9gdre/bZZ3ue7+7u2nodAAAAAADAJLBH2BgikYgKhYJM09T+/r7K5XJnD6yjisWidnd3tbe3N/NjHn3tqDPCJnkaJjCsd+9Lr8a87gIAAACYTZZ1uDdvPz5DMtiXF1OGIGxM6XS657lpmioWi9rc3JRpmj2fq1QqSiQS2tnZmekxTwvRhnX0usCkvHt/cM1rJemMT3r5ovP9AAAAAPOGA6owq1gaOWGBQEAbGxtqNBra3t4+tmywXC5ra2trpsccNcA6eo2HDx+ONA7Qz6PH0hs/sVf7+ntS87Gj7QAAAAAApohhWdaAyYwYh2maWltb69kYPhAIqNFozOyYxpG5rXa/hcrlshKJROd5PB4fOJPtNOFwWLVaTT6fT8vLyyON0S2TySiTyYw9Drz3n/+H9B/et1//ty9K3/qSc/0AAAAA8+hJy+aMMKbfzJV8Pq98Pj/2OPV6Xa1WS6FQSAcHBxPozD6WRjosEAhob29PsVisEzKZpqlyuax4PD6TYwYCgYksa7S7yX4/rVZLtVpt7HGazebYY2A6vP/hcPU//ZAgDAAAAHAC+/LOn2azOZF7cC8RhLnkxo0bisV++y/Azs7OyKGV12MuLS1NJAhbWloae4xJzQjz+/1jj4Hp0PjU2XoAAAAA7Mu7qPx+v0Kh0NjjtGeEeYEgzCXRaFTxeFzlclnSZDac92rMUWdyHQ3PJjEjbHl52fVplJhuwaedrQcAAAAW3bD78r74h5L/nKMtwSWT2laovd2RF1it66Lu/bFmeczV1dWe53Znhx3dHH9lZWWovgA7Xnx+uPoXhqwHAAAAFt0PK9Inv7FX+/GvpZuVwXWAWwjCXBSJRDofT2JZoFdjdi+dlOzPRNvf3+95Pu4yTuAkr0Slz3/OXu0zT0mvRp3tBwAAAJg3o+zLC0wLgjAXdQdMk1gW6NWYR2eE2Q3CumeOBQKBnusAk3L+nPT9r9qrvf41pmgDAAAAw2JfXswygjAX7e7udj6e1JJGL8aMRqM9Adm9e/eGHvdomAZMkp3NOG8m2bQTAAAAGAX78mKWEYS5qHtp4KSWBXo15uXLlzsfVyr2Fnx312Wz2RG7Aybj64RgAAAAwEjYlxezjCDMRaVSSZK0sbEx82Our693Pm6fMNlPd00kEmF/MAAAAACYUezLi1lGEOaSUqmkarWqQCCga9euzfyY0Wi0J8xqh2en2d7e7nzMbDAAAAAAmF3sy4tZRhA2onK5rGAwKMMwlEgk+i4PrFarunr1qiTp7t27p25qPytjthUKhc7Hm5ubp9aZpqlisSjpcKllOp3uOy4wLp8hffZ2/4fP8LpLAAAAYHaxLy9mFUHYiLa3tzunIJbLZcVisZ7lgm3tzy0tLWl/f1/R6OlzQmdlzLZIJNKZ6VWpVLS1tXVi3dramqTDkyK7Z4YBTjEM6Yyv/8MgCAMAAAAcxb68mEYEYSNKpVLH/qxYLCoYDCqVSml9fV2xWEyJRELpdFp7e3uKRCJzMWa3ZDKpnZ0dBQIBZbNZpVIpVSoVmabZCdcqlYqi0agePHgwcJYZAAAAAACAUwzLsiyvm5hV1WpVuVxO5XJZDx8+lGmaCgQCWlpaUjQa1ZUrVxSPx4cKf2ZlzJNsbW3p1q1bqlarnWusrq5qfX1dyWRyrLGPCofDqtVqCoVCOjg4mOjYAAAAAID+nrSks2/1r/ns7cPVGMBRXt7TE4RhJhGEAQAAAIB3LEtqDUgTfAZbkuBkXt7Tn3X1agAAAAAAYOYZhnSGkAsziEmKAAAAAAAAWAgEYQAAAAAAAFgIBGEAAAAAAABYCOwRhplWr9cVDof71mQyGWUyGZc6AgAAAABgceXzeeXz+b419XrdpW6OIwjDTGu1WqrVan1rms2mS90AAAAAALDYms3mwPt0LxGEYab5fD4tLy/3rfH7/S51AwAAAADAYvP7/QqFQn1r6vW6Wq2WSx31MizLsjy5MjCGcDisWq2mUCikg4MDr9sBAAAAAAA2eXlPz2b5AAAAAAAAWAgEYQAAAAAAAFgIBGEAAAAAAABYCARhAAAAAAAAWAgEYQAAAAAAAFgIZ71uAACmmWVJrQFn6/oMyTDc6QcAAAAAMDqCMADoo2VJZ9/qX/PZ29IZgjAAAAAAmHosjQQAAAAAAMBCIAgDAAAAAADAQiAIA4AxvXvf6w4AAAAAAHawRxgA9GEn5HqtJJ3xSS9fdL4fAAAAYFQcBAUQhAHAqR49lt74ib3a19+TXvxDyX/O0ZYAAACAkXEQFMDSSAA41Q8r0ie/sVf78a+lmxVn+wEAAAAAjIcgDABO8f6Hw9X/dMh6AAAAYNqw/y3mHUEYAJyi8amz9QAAAICb7O5/SxiGeUYQBgCnCD7tbD0AAADglmH3v20+drQdwDNslo+ZVq/XFQ6H+9ZkMhllMhmXOsI8efF56c4/269/4XnnegEAAADGMcr+t9/6krM9YT7l83nl8/m+NfV63aVujiMIw0xrtVqq1Wp9a5rNpkvdYN68EpW+/TN7/8HwzFPSq1HnewIAAABGMcr+twRhGEWz2Rx4n+4lgjDMNJ/Pp+Xl5b41fr/fpW4wb86fk77/1cN9Ega5/jXJf87xlgAAAICRsP8t3OL3+xUKhfrW1Ot1tVotlzrqZViWZXlyZWAM4XBYtVpNoVBIBwcHXreDOfakJZ19q3/NzaT0SsydfgAAAIBRfOX/GW7bj688J/3s3zvXDxabl/f0bJYPAGP6+kWvOwAAAAD6e3HI/WzZ/xbziiAMAAAAAIA590pU+vzn7NWy/y3mGXuEAUAfPkP67O3BNQAAAMA0Y/9b4BAzwgCgD8OQzvj6PwyCMAAAAMyAl21s6XEzaa8OmFUEYQAAAAAAQBL732L+EYQBAAAAAABgIbBHGAAAAAAAC4D9bwGCMAAAAAAAFoJhSGcIurDgWBoJAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFQBAGAAAAAACAhUAQBgAAAAAAgIVAEAYAAAAAAICFcNbrBoBx1Ot1hcPhvjWZTEaZTMaljgAAAAAAWFz5fF75fL5vTb1ed6mb4wjCMNNarZZqtVrfmmaz6VI3AAAAAAAstmazOfA+3UsEYZhpPp9Py8vLfWv8fr9L3QAAAAAAsNj8fr9CoVDfmnq9rlar5VJHvQzLsixPrgyMIRwOq1arKRQK6eDgwOt2AAAAAACATV7e0zMjDABcYllSa8CvHnyGZBju9AMAAAAAi4YgDABc0rKks2/1r/nsbekMQRgAAAAAOMLndQMAAAAAAACAGwjCAAAAAAAAsBAIwgBgirx73+sOAAAAAGB+EYQBgEvshFyvlQjDAAAAAMApBGEA4IJHj6U3fmKv9vX3pOZjR9sBAAAAgIVEEAYALvhhRfrkN/ZqP/61dLPibD8AAAAAsIgIwgDABe9/OFz9T4esBwAAAAAMRhAGAC5ofOpsPQAAAABgMIIwAHBB8Gln6wEAAAAAgxGEAYALXnx+uPoXhqwHAADAfLIs6Umr/8OyvO4SmB1nvW4AABbBK1Hp2z+zt2H+M09Jr0ad7wkAAADTr2VJZ9/qX/PZ29IZw51+gFnHjDAAcMH5c9L3v2qv9vrXJP85R9sBAAAAgIVEEAYALnn54uCam0l7dQAAAACA4RGEAcAU+TohGAAAAIb07n2vOwBmB3uEYabV63WFw+G+NZlMRplMxqWOgNP5jMP9GwbVAAAAAG12Qq7XStIZHysLMB3y+bzy+Xzfmnq97lI3xxGEYaa1Wi3VarW+Nc1m06VugP4Mg01MAQAAYN+jx9IbP7FX+/p70ot/yF6z8F6z2Rx4n+4lgjDMNJ/Pp+Xl5b41fr/fpW4AAAAAYHJ+WLF36rgkffxr6WZF+taXnO0JGMTv9ysUCvWtqdfrarVaLnXUy7Asy/LkysAYwuGwarWaQqGQDg4OvG4HAAAAACbuK/+PdOefh6h/TvrZv3euH2BSvLynZ7N8AAAAAACmUONTZ+uBRUQQBgAAAADAFAo+7Ww9sIgIwgAAAAAAmEIvPj9c/QtD1gOLiCDMA9VqVYlEwtMxt7a2lEgkFAwGZRiGVlZWlEqlVC6XR+7BiTEBAAAAYFG9EpU+/zl7tc88Jb0adbYfYB4QhE2QaZoyDGPgY2VlRZFIxJMxy+WygsGgstmsJGl7e1v7+/vK5XKqVCpKJBJKJBIyTdP21+3EmAAAAACw6M6fk77/VXu1178m+c852g4wF8563cA8KRaLtmvboZGbY5bL5c6ssXQ6rUKh0PlcJBJRMplULBZTuVxWLBbT3t6eAoGA62MCAAAAAA69fFF6rdS/5mbysA7AYIZlWZbXTcyLYDBoa9ZTPB7Xzs6Oq2OapqkLFy7INE1FIhHt7++fWFetVrWysuLZmHZ5edQqAAAAALjlSUs6+1b/ms/els6w3gszxMt7emaETUixWJRpmtrY2Bi4V9fq6qrrY6ZSqU6g1m/mWHsWV6lUUrlcVrFYVDqddm1MAAAAAAAApzAjbELaM55OmxXl5ZjdM7IkqdFo9F2eWCqVlEqlJEmBQECNRsOVMYfBjDAAAAAAi8CypNaAu3afIRmGO/0Ak+DlPT2TJyegVCqpWq3a3vfL7TFzuVzn43g8PnCPrmQy2fnYNE2VSscXpDsxJgAAAACgl2EcLnvs9yAEA+wjCJuAzc1NBQIBXb58eSrH7N5wPxq1d55u9wmUt27dcmVMAAAAAAAAJxGEjalSqahSqcg0TQWDQa2srGh9fX2sGU+THLNSqfQ8v3Tpkq3XdYdbR6/rxJgAAAAAAABOIwgb09Gli9VqVcViUalUSoZhKJVKHQuO3ByzXC73PO+eldXP0bru6zkxJgAAAAAAgNMIwsZQrVaPhUJHlUolxWIxra+vezLmvXv3ep4P2sur7dlnn+15vru76+iYAAAAAAAATjvrdQOzLBKJqFAoyDRN7e/vq1wuq1qtnlhbLBa1u7urvb09V8c8+tpRZ291n1zpxJgAAAAAAABOIwgbUzqd7nlumqaKxaI2NzdlmmbP5yqVihKJhHZ2dlwb87QQbVjd13ViTAAAAAAAAKcZlmVZXjcxr0qlkq5evXos8MnlctrY2HBlTOPIObp23+5yuaxEItF5nkwmtb297diYwwqHw6rVavL5fFpeXh5pjG6ZTEaZTGbscQAAAAAAmFf5fF75fH7scer1ulqtlkKhkA4ODibQmX3MCHNQMplUPB7X2tpaz8bwm5ubIwdhToxphxOztyYxZqvVUq1WG3ucZrM59hgAAAAAAMyzZrM5kXtwLxGEOSwQCGhvb0+xWKwTXJmmqXK5rHg87viYgUBgIoFT94b4Tow5qknNCPP7/WOPAQAAAADAPPP7/QqFQmOP054R5gWCMJfcuHFDsVis83xnZ2fkIGyYMZeWliYSWi0tLTk65qiWl5ddn0YJAAAAAMAimtS2Qu3tjrzg8+SqCygajfaEVJPYcN7OmKPOujoadB2dETbpMQEMx7KkJ63+D3aABAAAAIBeBGEu6t4o3q0xV1dXe57bncn18OHDnucrKyuOjglgOC1LOvtW/0eLIAwAAAAAehCEuSgSiXQ+nsSyQDtjdi+dlOzPRNvf3+953j3zzIkxAQAAAAAAnEYQ5qLu0GpSywIHjXl09pbd0Kp7llcgEOi5jhNjApi8d+973QEAAAAATBeCMBft7u52Pp7UMslBY0aj0Z6A7N69e0OPezT4cmJMAMOxE3K9ViIMAwAAAIBuBGEu6l4aOKllgXbGvHz5cufjSqVia9zuumw268qYAOx59Fh64yf2al9/T2o+drQdAAAAAJgZBGEuKpVKkqSNjQ1Xx1xfX+98XC6XB47ZXROJRE4M2JwYE4A9P6xIn/zGXu3Hv5Zu2suqAQAAAGDuEYS5pFQqqVqtKhAI6Nq1a66OGY1Ge4Kndnh2mu3t7c7Hp83ccmJMAPa8/+Fw9T8dsh4AAADjsyzpSav/w+KUb8B1BGEjKpfLCgaDMgxDiUSi7/LAarWqq1evSpLu3r176kb5TozZVigUOh9vbm6eWmeaporFoqTDpZbpdNrVMQEM1vjU2XoAAACMr2VJZ9/q/2gRhAGuIwgb0fb2ducUxHK5rFgs1rNcsK39uaWlJe3v7ysajbo6ZlskEunMyqpUKtra2jqxbm1tTdLhqY7ds7jcGhPAYMGnna0HAAAAgHlFEDaiVCp17M+KxaKCwaBSqZTW19cVi8WUSCSUTqe1t7enSCTi+pjdksmkdnZ2FAgElM1mlUqlVKlUZJpmJ1yrVCqKRqN68ODBwFlmTo0JoL8Xnx+u/oUh6wEAAOAOTvgG3GdYFquSR1WtVpXL5VQul/Xw4UOZpqlAIKClpSVFo1FduXJF8Xh8qPDHiTFPsrW1pVu3bqlarXausbq6qvX1dSWTyakZ8zThcFi1Wk2hUEgHBwcTHRuYdo8eS6Hv2tsw/5mnpNo1yX/O+b4AAADwWzf3pNf6b6UsSfr7y9LLF53vB5gmXt7TE4RhJhGEYdHxH1YAAADTi19cAv15eU/P0kgAmEF2wq2bSUIwAAAAL/ywYi8Ek6SPfy3dPP2cNAATRhAGAHPq64RgAAAAnnj/w+HqfzpkPYDRnfW6AQDA8HyG9Nnbg2sAAADgvsanztYDGB1BGADMIMOQzhB0AQAATKXg087WAxgdQRhmWr1eVzgc7luTyWSUyWRc6ggAAADAonvxeenOP9uvf+F553oB3JbP55XP5/vW1Ot1l7o5jiAMM63VaqlWq/WtaTabLnUDAAAAANIrUenbP7N/auSrUed7AtzSbDYH3qd7iSAMM83n82l5eblvjd/vd6kbAAAAAJDOn5O+/1XptdLg2utfk/znHG8JcI3f71coFOpbU6/X1Wq1XOqol2FZluXJlYExhMNh1Wo1hUIhHRwceN0OAAAAAPR40pLOvtW/5mZSeiXmTj/ANPHynt7n6tUAAAAAAIAk6esXve4AWDwEYQAAAAAAAFgI7BEGAAAAAMCE+Qzps7cH1wBwF0EYAAAAAAATZhjSGYIuYOqwNBIAAAAAAAALgSAMAAAAAAAAC4EgDAAAAAAAAAuBIAwAAAAAAAALgSAMAAAAAAAAC4EgDAAAAAAAAAuBIAwAAAAAAAALgSAMAAAAAAAAC4EgDAAAAAAAAAuBIAwAAAAAAAALgSAMAAAAAAAAC4EgDAAAAAAAAAvhrNcNAOOo1+sKh8N9azKZjDKZjEsdAQAAAACwuPL5vPL5fN+aer3uUjfHEYRhprVaLdVqtb41zWbTpW6A2WRZUsvqX+MzJMNwpx8AAAAAs6vZbA68T/cSQRhmms/n0/Lyct8av9/vUjfAbGpZ0tm3+td89rZ0hiAMAAAAwAB+v1+hUKhvTb1eV6vVcqmjXoZlWQPmAQDTJxwOq1arKRQK6eDgwOt2gJn2pGUzCGNXSQAAAAAT4OU9Pbc1AICB3r3vdQcAAAAAMD6CMABYcHZCrtdKhGEAAAAAZh9BGAAssEePpTd+Yq/29fek5mNH2wEAAPCUZR1uG9HvweZCwGxjs3wAWGA/rEif/MZe7ce/lm5WpG99ydmeAAAAvMIhQsD8Y0YYACyw9z8crv6nQ9YDAADMG7aLAGYbQRgALLDGp87WAwAAzBL2TgXmH0EYACyw4NPO1gMAAMwK9k4FFgNBGAAssBefH67+hSHrAQAAZsUoe6cCmD0EYQCwwF6JSp//nL3aZ56SXo062w8AAIBX2DsVWAwEYQCwwM6fk77/VXu1178m+c852g4AAIBn2DsVWAwEYQCw4F6+OLjmZtJeHQAAwKxi71RgMRCEAQAG+johGAAAmHPsnQosBoIwAAAAAMDCY+9UYDGc9boBAIC3fIb02duDawAAAOZZe+/U10qDa9k7FZhdzAgDgAVnGNIZX/+HQRAGAAAWAHunAvOPIAwAAAAAAJvYOxWYbSyNxEyr1+sKh8N9azKZjDKZjEsdAQAAAACwuPL5vPL5fN+aer3uUjfHEYRhprVaLdVqtb41zWbTpW4AAAAAzDL2TgXG12w2B96ne4kgDDPN5/NpeXm5b43f73epGwAAAACzzDCkMwRdwFj8fr9CoVDfmnq9rlar5VJHvQzLsixPrgyMIRwOq1arKRQK6eDgwOt2AAAAAACATV7e07NZPgAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFsJZrxsAAMwHy5JaVv8anyEZhjv9AAAAAMBRBGEAgIloWdLZt/rXfPa2dIYgDAAAAIBHWBoJAAAAAACAhUAQBgBwzbv3ve4AAAAAwCJjaSQAYCLshFyvlaQzPunli873AwAAFgP7lAIYBkEYZlq9Xlc4HO5bk8lklMlkXOoIWEyPHktv/MRe7evvSS/+oeQ/52hLAABgQbBPKTBd8vm88vl835p6ve5SN8cRhGGmtVot1Wq1vjXNZtOlboDF9cOK9Mlv7NV+/GvpZkX61pec7QkAAACA+5rN5sD7dC8RhGGm+Xw+LS8v963x+/0udQMsrvc/HK7+px8ShAEAAPe8e196NeZ1F8Bi8Pv9CoVCfWvq9bparZZLHfUiCMNMW15e1sHBgddtAAuv8amz9QAAAKdhn1JgutjZnigcDns2a4xTIwEAYws+7Ww9AADASYbdp7T52NF2AMwAgjAAwNhefH64+heGrAcAADjJKPuUAlhsBGEeqFarSiQSY4+zsrIiwzBUKpUm0NVxw/a5tbWlRCKhYDAowzC0srKiVCqlcrnsSH8ApscrUenzn7NX+8xT0qtRZ/sBAACLYZR9SgEsNoKwCTJNU4ZhDHysrKwoEomMda1sNqtqtToVfZbLZQWDQWWzWUnS9va29vf3lcvlVKlUlEgklEgkZJrmSP0CmH7nz0nf/6q92utfk/znHG0HAAAsCPYpBTAsgrAJKhaLtmvbodEoyuWytra2Rn79JPssl8udkCudTmtnZ0fxeFyRSETJZFL7+/uKRqMql8uKxWKEYcAcs7P57M0km9QCAIDJYZ9SAMMiCJugzc1NW3XtoGgUpmkqlUqN9Nq2SfXZ3UskElGhUDixbnt7W9LhUstxewcw275OCAYAACaIfUoBDOus1w3Mi2KxKNM0tbGxMXBfrdXV1ZGvc/XqVS0tLUnSSLOrJtlnKpXq9NBv5lh7dlipVFK5XFaxWFQ6nR66dwDTzWdIn709uAYAAGBSXolK3/6ZvQ3z2acUgCQZlmVZXjcxD1ZWViRJ+/v7jl2jWCxqfX1de3t7Wltb64RQ29vbSiaTtsaYVJ/VarUzliQ1Gg0FAoFT60ulUmc2WCAQUKPRGOv64XBYtVpNoVBIBwcHY40FAAAAYHbd3JNes3F+2N9fZosGYFp4eU/P0sgJKJVKqlarY+37NUi1WtX6+ro2NjYUjY72a4xJ9pnL5Tofx+PxviGYpJ6gzjRNx066BAAAALBY2KcUwDAIwiZgc3NTgUBAly9fduwaqVRK0Wi0J4Aa1iT77N5w324w173f2K1bt8buAQAAAADsYJ9SAG3sETamSqWiSqUiSQoGg4pEIorH40okEraXKw6SzWZVqVTGWs44yT7b47RdunTJ1uui0aiq1aokMSMMAAAAwESwTymAYTAjbExHlxlWq1UVi0WlUikZhqFUKnUsOBpGpVLR1taWCoXCyCdNTrrPcrnc89xuX0frxvl7AQAAAABJMgzpjK//wyAIA/B/EISNoVqtHguFjiqVSorFYlpfXx/pGmtra0omk2OdsjjpPu/du9fzfND+YG3PPvtsz/Pd3V1brwMAAAAAAJgElkaOIRKJqFAoyDRN7e/vq1wud5b+HVUsFrW7u6u9vT3b47dPWbxx48ZU9Xn0taPOCHPyhE0AAAAAAICjCMLGdHSmlmmaKhaL2tzclGmaPZ+rVCpKJBLa2dkZOG6pVFKpVNLOzo7tGVdu9XlaiDaso9cFAAAAAABwEksjJywQCGhjY0ONRkPb29vHQqxyuaytra2+Y5imqVQqpXQ6rXg8PnV9jhpgHb3Gw4cPRxoHAAAAAABgFIZlWZbXTcwz0zS1trbWszF8IBBQo9E49TWxWKyzjPE0wWCwE0htb2+PfULlMH0aR3aatPstVC6XlUgkOs/j8bit2XEnCYfDqtVq8vl8Wl5eHmmMbplMRplMZuxxAAAAAACYV/l8Xvl8fuxx6vW6Wq2WQqGQDg4OJtCZfSyNdFggENDe3p5isVgnZDJNU+Vy+cTZXltbW6pUKkPtJeZ2n4FAYCLLGiex5LPVaqlWq409TrPZHHsMAAAAAADmWbPZnMg9uJcIwlxy48YNxWKxzvOdnZ1jAVOlUlE2m1Uul1M0GnW7RUn2+lxaWppIELa0tDT2GJOaEeb3+8ceAwAAAACAeeb3+xUKhcYepz0jzAsEYS6JRqOKx+Mql8uSTt5wPpVKKRqNamNjw+32Ouz0OepMrqPh2SRmhC0vL7s+jRIAAAAAgEU0qW2F2tsdeYEgzEWJRKITMB21tbWlarWqeDyuVCo1cKzuUGlzc1O3bt3qPL9y5cpYe4b161OSVldXe/YSM03TVqh1dHP8lZWVkXsEAAAAAAAYFkGYiyKRSOfjo8sCf/WrX0lS3wDqNJVKpSeYikQiYwVh/fqU1LN0UjqcNWZnKefRzf+dOhETAAAAAADgJD6vG1gk3QHTJJYFOmVQn6urqz3PT1o+eZLuWWyBQKDnOgAAAAAAAE4jCHPR7u5u5+NEItHzuVwuJ8uybD+6Q6Tt7e2ez+VyOcf6lA73EesOyO7duzf0uEfDNAAAAAAAAKcRhLmoe2ngNC8LtNPn5cuXOx93L8vsp7sum82O2B0AAAAAAMBoCMJcVCqVJMnTUyHtsNPn+vp652M7+5p110QikakOAgF4z7KkJ63+D8vyuksAAAAAs4bN8l1SKpVUrVYVCAR07do1r9s5ld0+o9Go4vF4J+AqlUp9N+jf3t7ufMxsMACDtCzp7Fv9az57WzpjuNMPAAAAgPnAjLARlctlBYNBGYahRCLRd3lgtVrV1atXJUl37951daN8J/ssFAqdjzc3N0+tM01TxWJR0uFSy3Q6PcRXAAAAAAAAMBkEYSPa3t7unIJYLpcVi8V6lgu2tT+3tLSk/f19RaPRuekzEol0ZnpVKhVtbW2dWLe2tibp8KTI7plhADCOd+973QEAAACAWUMQNqJUKnXsz4rFooLBoFKplNbX1xWLxZRIJJROp7W3t9dz0uO89JlMJrWzs6NAIKBsNqtUKqVKpSLTNDvhWqVSUTQa1YMHD1ydDQdgdtkJuV4rEYYBAAAAGI5hWWw3PKpqtapcLqdyuayHDx/KNE0FAgEtLS0pGo3qypUrisfjnoc/bvW5tbWlW7duqVqtdq6xurqq9fX1vvuHjSIcDqtWqykUCung4GCiYwPw1qPHUui70ie/GVz7zFNS7ZrkP+d8XwAAYHIs63BP0H58hmSwHygwl7y8pycIw0wiCAPm13/+H9J/eN9+/d++KH3rS871AwAAJu9Jy+bBOKxhAuaSl/f0/LMCAJgq7384XP1Ph6wHAAAAsLgIwgAAU6XxqbP1AABgNrAXKAAnEIQBAKZK8Gln6wEAgPc4GAeAVwjCAABT5cXnh6t/Ych6AADgrUePpTd+Yq/29fek5mNH2wGwYM563QAwjnq9rnA43Lcmk8kok8m41BGAcb0Slb79M/unRr4adb4nAAAwOT+s2Pv/eUn6+NfSzQoH4wCzJJ/PK5/P962p1+sudXMcQRhmWqvVUq1W61vTbDZd6gbAJJw/J33/q4fLIQa5/jXJf87xlgAAwASNcjAOQRgwO5rN5sD7dC8RhGGm+Xw+LS8v963x+/0udQNgUl6+ODgIu5k8rAMAALOFg3GA+eb3+xUKhfrW1Ot1tVotlzrqRRCGmba8vKyDgwOv2wAwYT5D+uztwz1E/v6+9A8fHv5HcPBp6c+el165KAXYJB8AgJnEwTjAfLOzPVE4HPZs1hhBGABg6hiGdMaQln5H+qs/PnwAAID58OLz0p1/tl/PwTgAJolTIwEAAAAArnklKn3+c/ZqORgHwKQRhAEAAAAAXNM+GMcODsYBMGkEYQAAAAAAV9k58IaDcQA4gT3CAAAAAACu4mAcAF4hCAMAAAAAuIqDcQB4haWRAAAAAAAAWAgEYQAAAAAAAFgIBGEAAAAAAABYCARhAAAAAAAAWAgEYQAAAAAAAFgIBGEAAAAAAABYCARhAAAAAAAAWAgEYQAAAAAAAFgIBGEAAAAAAABYCARhAAAAAAAAWAgEYQAAAAAAAFgIZ71uABhHvV5XOBzuW5PJZJTJZFzqCAAAAACAxZXP55XP5/vW1Ot1l7o5jiAMM63VaqlWq/WtaTabLnUDYBpZltSy+tf4DMkw3OkHAAAAmGfNZnPgfbqXCMIw03w+n5aXl/vW+P1+l7oBMI1alnT2rf41n70tnSEIAwAAAMbm9/sVCoX61tTrdbVaLZc66mVYljXg9+TA9AmHw6rVagqFQjo4OPC6HQBT7EnLZhDGrpkAAACAK7y8p+c/+wEAC+/d+153AAAAAMANBGEAgLlmJ+R6rUQYBgAAACwCgjAAwNx69Fh64yf2al9/T2o+drQdAAAAAB4jCAMAzK0fVqRPfmOv9uNfSzcrzvYDAAAAwFsEYQCAufX+h8PV/3TIegAAFo1lHR5E0+/BcWwAptlZrxsAAMApjU+drQcAYNG0LJunMRvu9AMAw2JGGABgbgWfdrYeAAAAwGwhCAMAzK0Xnx+u/oUh6wEAwHGcxAxgmhGEAQDm1itR6fOfs1f7zFPSq1Fn+wEAYNbZCbleKxGGAZheBGEAgLl1/pz0/a/aq73+Ncl/ztF2AACYaY8eS2/8xF7t6+9JzceOtgMAIyEIAwDMtZcvDq65mbRXBwDAIvthRfrkN/ZqP/61dLPibD8AMApOjQQAzDWfcXh61aPH0t/fl/7hw8PTIYNPS3/2vPTKRSnAJvkAAAz0/ofD1f/0Q+lbX3KmFwAYFUEYAGCuGcbhEe5LvyP91R8fPgAAwPAanzpbDwBuYGkkAAAAAGCg4JAzqIetBwA3EIQBAAAAAAZ68fnh6l8Ysh4A3EAQBgAAAAAY6JWo9PnP2at95inp1aiz/QDAKNgjDDOtXq8rHA73rclkMspkMi51BAAAAMyn8+ek739Veq00uPb61yT/OcdbAjCF8vm88vl835p6ve5SN8cRhGGmtVot1Wq1vjXNZtOlbgAAAID59vLFwUHYzeRhHYDF1Gw2B96ne4kgDDPN5/NpeXm5b43f73epGwAAAABfJwQDFprf71coFOpbU6/X1Wq1XOqol2FZluXJlYExhMNh1Wo1hUIhHRwceN0OAAAAsBAsS2oNuIP0GZJhuNMPgNnk5T09M8IAAAAAALYYhnSGkAvADOPUSAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALASCMAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALASCMAAAAAAAACwEgjAAAAAAAAAshLNeNwAAwKywLKll9a/xGZJhuNMPAAAAgOEQhAEAYFPLks6+1b/ms7elMwRhAAAAwFRiaSQAAAAAAAAWAkEYAAAT9O59rzsAAAAAcBqCMAAAbLITcr1WIgwDAAAAphVBGAAANjx6LL3xE3u1r78nNR872g4AAACAERCEAQBgww8r0ie/sVf78a+lmxVn+wEAwC7Lkp60+j+sAaciA8C84NRIzLR6va5wONy3JpPJKJPJuNQRgHn1/ofD1f/0Q+lbX3KmFwAAhsGpxwDclM/nlc/n+9bU63WXujmOIAwzrdVqqVar9a1pNpsudQNgnjU+dbYeAAAAmAfNZnPgfbqXCMIw03w+n5aXl/vW+P1+l7oBMM+CTztbDwCAl969L70a87oLAPPA7/crFAr1ranX62q1Wi511IsgDDNteXlZBwcHXrcBYAG8+Lx055/t17/wvHO9AAAwDLunHp/xSS9fdL4fAPPNzvZE4XDYs1ljbJYPAIANr0Slz3/OXu0zT0mvRp3tBwAAOzj1GAB6EYQBAGDD+XPS979qr/b61yT/OUfbAQDAFk49BoBeBGEAANhkZ7nIzSTLSgAA02OUU48BYJ4RhHmgWq0qkUiMPc7KyooMw1CpVBr6tVtbW0okEgoGgzIMQysrK0qlUiqXyyP348SYADBNfMbh8fK/+r+k//sF6U9/X7oUOvzf//sF6eH/Jf2/WBIJAJginHoMAL0IwibINE0ZhjHwsbKyokgkMta1stmsqtXq0K8rl8sKBoPKZrOSpO3tbe3v7yuXy6lSqSiRSCiRSMg0TU/HBIBpZBiHGwkv/Y70V38s/eNfSv/zW4f/+1d/LAV/57AGAIBpwanHANCLUyMnqFgs2q5th0ajKJfL2traGul17Zlo6XRahUKh87lIJKJkMqlYLKZyuaxYLKa9vT0FAgHXxwQAAAAwGZx6DAC9mBE2QZubm7bq4vH4yDPCTNNUKpUa63WRSKQnsOq2vb0t6XD55qDrODEmAAAAgMnh1GMA6MWMsAkpFosyTVMbGxsD9/9aXV0d+TpXr17V0tKSJA211DCVSnXq+81Ga8/iKpVKKpfLKhaLSqfTro0JAAAAYHLapx6/ZmNbYU49BrAIDMuyLK+bmAcrKyuSpP39fceuUSwWtb6+rr29Pa2trXVCqO3tbSWTyVNfV61WO/1JUqPR6Ls8sVQqdWZuBQIBNRoNV8YcRjgcVq1WUygU0sHBwVhjAQAAAPPsSUs6+1b/mptJ6ZWYO/0AgJf39MwIm4BSqaRqtXrq0sBJqFarWl9f18bGhqLR4eYr53K5zsfxeHzgHl3doZppmiqVSseCNifGBAAAADB57VOPHz2W/v6+9A8fHp4OGXxa+rPnpVcuSgE2yQewINgjbAI2NzcVCAR0+fJlx66RSqUUjUZ7Aii7ujfxtxuide9hduvWLVfGBAAAADB5nHoMAL9FEDamSqWiSqUi0zQVDAa1srKi9fV1lUo2FuHblM1mValUOpvOD9tft0uXLtl6XXe4dfRrcWJMAAAAAAAApxGEjenoJvHValXFYlGpVEqGYSiVSh0LjoZRqVS0tbWlQqEw0kmT5XK557ndMY7WdX8NTowJAAAAAADgNIKwMVSr1WOh0FGlUkmxWEzr6+sjXWNtbU3JZHLkUxbv3bvX83zQXl5tzz77bM/z3d1dR8cEAAAAAABwGpvljyESiahQKMg0Te3v76tcLqtarZ5YWywWtbu7q729Pdvjt09ZvHHjxsg9Hu1n1Nlb3adhOjEmAAAAAACA0wjCxnR0ppZpmioWi9rc3JRpmj2fq1QqSiQS2tnZGThuqVRSqVTSzs6O7RlXJzktmBtW99fixJgAAAAAAABOY2nkhAUCAW1sbKjRaGh7e/tYiFUul7W1tdV3DNM0lUqllE6nFY/Hx+pn1LDpaN8PHz50dEwAAAAAAACnMSPMQclkUvF4XGtraz0bw29ubmpjY+PU162trXWWXU4LJ2ZvTWLMer2ucDg89jiZTEaZTGbscQAAAAAAmFf5fF75fH7scer1+gS6GQ1BmMMCgYD29vYUi8U6YZhpmiqXyyfO9tra2lKlUhlqL7FB159E4NQ9m8uJMUfVarVUq9XGHqfZbI49BgAAAAAA86zZbE7kHtxLBGEuuXHjhmKxWOf5zs7OsSCsUqkom80ql8spGo1O5LpLS0sTCa2WlpYcHXNUPp9Py8vLY4/j9/vHHgMA7LIsqWX1r/EZkmG40w8AAABgh9/vVygUGnucer2uVqs1gY6GRxDmkmg0qng8rnK5LOnkDedTqZSi0WjfZZPDGnXW1dGg6+iMsEmPOarl5WUdHByMPQ4AuKllSWff6l/z2dvSGYIwAAAATJFJbSsUDoc9m1lGEOaiRCLRCcKO2traUrVaVTweVyqVGjhWd6i0ubmpW7dudZ5fuXJFyWRSkrS6utqzP5lpmrYCqKMb2a+srHQ+dmJMAAAAAAAApxGEuSgSiXQ+Pros8Fe/+pUknRqU9VOpVHqCqUgk0gnCupdjSocz0ewsu9zf3+953r2M04kxAQC93r0vvRobXAcAAADAPp/XDSyS7iBsEssC7VhdXe15ftKSzJN0zzgLBAI9vTsxJgAsknfvD655rWSvDgAAAIB9BGEu2t3d7XycSCR6PpfL5WRZlu1Hd4i0vb3d87lcLtf5XDQa7Qnd7t27N3SvR4MvJ8YEgEXx6LH0xk/s1b7+ntR87Gg7AIApZVnSk1b/hzXg4BUAwHEEYS7qXhro5rLAy5cvdz7uXkLZT3ddNpt1ZUwAWAQ/rEif/MZe7ce/lm7a+ycWADBn2ger9HsMOoEYAHAcQZiLSqWSJE30VEg71tfXOx/b2YOsuyYSiZwY2jkxJgAsgvc/HK7+p0PWAwAAADgdQZhLSqWSqtWqAoGArl275uq1o9FoT/DUDuROs7293fn4tJlbTowJAIug8amz9QCAxcFekgAwPIKwEZXLZQWDQRmGoUQi0Xd5YLVa1dWrVyVJd+/edW2j/G6FQqHz8ebm5ql1pmmqWCxKOly+mU6nXR0TAOZd8Gln6wEA84GDVQDAGQRhI9re3u6cglgulxWLxXqWC7a1P7e0tKT9/X1Fo1GXOz0UiUQ6s7IqlYq2trZOrFtbW5N0eKpj9ywut8YEgHn34vPD1b8wZD0AYPZxsAoAOIcgbESpVOrYnxWLRQWDQaVSKa2vrysWiymRSCidTmtvb6/npEcvJJNJ7ezsKBAIKJvNKpVKqVKpyDTNTmBXqVQUjUb14MEDWzPXnBgTAObZK1Hp85+zV/vMU9Kr3vz+BADgIQ5WAQDnEISNKB6Pa39/X+l0WpFIpCfgqVQqevjwoa5du6ZGo6FcLjfxAGh/f1+WZcmyLCWTyaH6bvdUrVa1trbWCe+Wlpa0vb2tvb29ofp1YkwAmFfnz0nf/6q92utfk/znHG0HADCFOFgFAJxjWJbFobuYOeFwWLVaTaFQSAcHB163AwBDedI6PPa+n5tJ6ZWYO/0AAKbLv/n/SPeG+E/cfxOW/n//b+f6AYBJ8/Ke/qyrVwMAAPIZ0mdvH+4B8/f3pX/48PB0yODT0p89L71yUQqwST4ALCwOVgEA5xCEAQDgMsOQzhjS0u9If/XHhw8AANpefF6688/26zlYBQDsY48wAAAAAJgiHKwCAM4hCAMAAACAKcLBKgDgHJZGYqbV63WFw+G+NZlMRplMxqWOAAAAgPG9fFF6rdS/5mbysA4Apkk+n1c+n+9bU6/XXermOIIwzLRWq6Varda3ptlsutQNAAAAMBkcrAJgVjWbzYH36V4iCMNM8/l8Wl5e7lvj9/td6gYAAACYDA5WATCr/H6/QqFQ35p6va5Wq+VSR70My7IsT64MjCEcDqtWqykUCung4MDrdgAAAAAAgE1e3tOzWT4AAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWAkEYAAAAAAAAFgJBGAAAAAAAABYCQRgAAAAAAAAWwlmvGwAAAKOzLKll9a/xGZJhuNMPAAAAMM0IwgAAmGEtSzr7Vv+az96WzhCEAYDj+OUEAEw/gjAAAObcu/elV2NedwEA849fTgDA9GOPMAAAZti79wfXvFayVwcAcB7/HgOAtwjCAACYUY8eS2/8xF7t6+9JzceOtgMAC49fTgDA9CMIAwBgRv2wIn3yG3u1H/9aullxth8AWGT8cgIAZgN7hGGm1et1hcPhvjWZTEaZTMaljgDAPe9/OFz9Tz+UvvUlZ3oBgEU3yi8n+DcZwDzK5/PK5/N9a+r1ukvdHEcQhpnWarVUq9X61jSbTZe6AQB3NT51th4AYB+/nACAQ81mc+B9upcIwjDTfD6flpeX+9b4/X6XugEAdwWfdrYeAGAfv5wAgEN+v1+hUKhvTb1eV6vVcqmjXgRhmGnLy8s6ODjwug0A8MSLz0t3/tl+/QvPO9cLACw6fjkBAIfsbE8UDoc9mzXGZvkAAMyoV6LS5z9nr/aZp6RXo872AwCL7MUhf9nALycAwBsEYQAAzKjz56Tvf9Ve7fWvSf5zjrYDAAuNX04AwGwgCAMAYIa9fHFwzc2kvToAwOj45QQAzAb2CAMAYIb5DOmzt6VHj6W/vy/9w4eHGzAHn5b+7HnplYtSgH1oAMAVL1+UXiv1r+GXEwDgLYIwAABmmGFIZwxp6Xekv/rjwwcAYHp9nRAMADxFEAYAAAAAE9CepTuoBgDgHYIwAAAAAJiA9ixdAMD0YrN8AAAAAAAALASCMAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALASCMAAAAAAAACwEgjAAAAAAAAAsBIIwAAAAAAAALISzXjcAAACmg2VJLat/jc+QDMOdfgAAAIBJIwgDAACSDkOws2/1r/nsbekMQRgAAABmFEEYZlq9Xlc4HO5bk8lklMlkXOoIAAAAAIDFlc/nlc/n+9bU63WXujmOIAwzrdVqqVar9a1pNpsudQMA8+/d+9KrMa+7AAAAwLRqNpsD79O9RBCGmebz+bS8vNy3xu/3u9QNAMy2d+8PrnmtJJ3xSS9fdL4fAHAD+yMCwGT5/X6FQqG+NfV6Xa1Wy6WOehmWZQ34Zx+YPuFwWLVaTaFQSAcHB163AwAz79FjKfRd6ZPfDK595impdk3yn3O+LwBw2pOWzf0Rfe70AwCLwMt7ev45BwAA+mHFXggmSR//WrpZcbYfAJgmdmbMAgBmA0EYAADQ+x8OV//TIesBYFrZXRZOGAYA84EgDAAAqPGps/UAMI0ePZbe+Im92tffk5qPHW0HAOACgjAAAKDg087WA8A0Ylk4ACwegjAAAKAXnx+u/oUh6wFgGrEsHAAWD0EYAADQK1Hp85+zV/vMU9KrUWf7AQA3sCwcABYPQRgAAND5c9L3v2qv9vrXJP85R9sBAFewLBwAFg9BGAAAkCS9fHFwzc2kvToAmAUsCweAxXPW6wYAAMB08BnSZ28fnqL29/elf/jwcBlQ8Gnpz56XXrkoBZgNAWCOvBKVvv0zexvmsywcAOYDQRgAAJAkGYZ0xpCWfkf6qz8+fADAPGsvC3+tNLiWZeEAMB9YGgkAAABgYbEsHAAWC0EYAAAAAPTxdUIwAJgbLI0EAAAAsLDa+yMOqgEAzAeCMAAAAAALq70/IgBgMbA0EgAAAAAAAAuBIAwAAAAAAAALgSAMAAAAAAAAC4E9wjDT6vW6wuFw35pMJqNMJuNSRwAAAAAALK58Pq98Pt+3pl6vu9TNcQRhmGmtVku1Wq1vTbPZdKkbAP//9u4ntpHzvv/4h9q1sf4DZSgDBbbSpcP+ABc9Lbm+1Mcl+zvEbnIgdw/u2sCvCJlfkPqgA9lFEDQ9uAJ5EBC0CCIu8DvY8cEmDwnsAG05e+2hK85eDRQcX1YRUKDiWLCRRWJrfgeVDKk/5FAczh/y/QIGJqWHz3xX3mcofvZ5ngEAAACw2o6Pj6d+To8SQRgSbW1tTTdv3pzYZn19PaRqAAAAAABYbevr69rc3JzY5vDwUCcnJyFVNC7leZ4XyZmBOWxtbeng4ECbm5t6+vRp1OUAAM7wPOlkym8YaykplQqnHgAAAMRHlJ/pmREGAAACd+JJ1380uc3X70nXCMIAAAAQIu4aCQAAIvHhk6grAAAAwKohCAMAAIHzE3K90yYMAwAAQLgIwiLgOI4KhYLvtpVKRZlMRqlUSul0WrlcTpVKRY7jxKZOSWo0GioUCkqn00qlUspkMiqVSrIsa4FVAgDi5otn0g9+5a/t938pHT9baDkAAADAEEFYgFzXVSqVmnpkMhmZpjm1v0ajoUwmo2azOQy9XNeVbdtqNpvKZDJqNBqR12lZltLptGq1miSp1Wqp1+upXq/Ltm0VCgUVCgW5rjtzrQCA5PnAlr76vb+2X/5Oet9ebD0AlpPnSd+cTD64LRgA4Cw2yw9Qs9n03XYQGl2mUCjIsiwZhqF8Pi/TNOU4jmzbHpsJVqvVZJqmisViJHValjWcNVYul7W3tzf83qCuXC4ny7KUy+XU7XZlGIbv8wMAkueTz2Zr/+ln0g//YjG1AFhe3JQDAHAVzAgL0M7Ojq92g2DrMrVaTZZlqV6vq9/vq9VqqV6vj820GlUqlSKp03Xd4blN0xwLwUa1Wi1Jp0stZ60VAJA8/d8utj0A+MU+hACAs5gRFpBmsynXdVWtVqfuq3X79u1Lv+c4jhqNhjqdjvL5/IVtqtWqer3e2Mwu27aVzWZDq1M6DeAGyx0nzRwbzAxrt9uyLEvNZlPlcnlqrQCAZEq/sNj2ACD5vynHtTXprVuLrwcAkAwpz2PlfBAymYwkqdfrzdVPqVTSa6+9pmq1OrGd67pKp9PD5/V6feprgqzTcZxhX5LU7/cnLnlst9vD2WCGYajf7891/q2tLR0cHGhzc1NPnz6dqy8AQLD++d+lv/3Ef/t/epOlkQBm88UzafMf/e1H+PLz0sEDaf3G4usCAPgT5Wd6lkYGoN1uy3Gcqftp+TGYrTWNYRhjyxb97LsVZJ2jyzPz+fzU84/uYea6rtrt9tw1AADi6X5Weuk5f21ffl56e/qEZgAYw005AABXRRAWgJ2dHRmGobt3787dV6fT8d326Oho+HjaMkYp2DpHl2X6WZIpaSy4++ijj+auAQAQT9+6If3sO/7a/vy7zNIAMLur3JQDAACJIGxutm3Ltu3hUsVMJqNKpbLwGU+u6w7358rn81PDqCDrtO3xf1J77bXXfL1utEZmhAHAcvOzH8/7RfbtAXA13JQDAHBVBGFzOrvM0HEcNZtNlUolpVIplUqlc8FRED7++GNJp7OsBndlDKtOy7LGnk+6s+Skdov4uQAA4mEtJX39nvTfP5Z++ob0l38qvbZ5+t+fviEd/Vj6a5ZEArgibsoBALgqgrA5OI5zLhQ6q91uK5fLqVKpBHZe13VVqVSUzWbV6XSm7s8VdJ2PHz8ee+5nfzJJeuWVV8ae7+/v+3odACB5UqnTO7VtvCi9+7r0r38j/ccPT//77utS+sXTNgBwFW++Olv7N2ZsDwBYXtejLiDJTNPU3t6eXNdVr9eTZVlyHOfCts1mU/v7++p2u3Od03EcFQoFGYahR48e+Qqhgq7z7GuvOiNs3jtXAgAAYDXdz0p/9y/+7xrJTTkAAAPMCJtTuVxWtVrV3t6eer2e+v2+6vX6hQGVbdsqFApXPle73VYmk5HjOMO9vhqNRuh1XhaizWqwxxkAAAAwC27KAQC4qpTneV7URSyrdrut733ve+cCn3q9rmq16qsP13XVbDa1t7d3aQBVLBZ97RMWVJ2pM2tZ/P4VsixrLGCbp+6trS0dHBxobW1NN2/evFIfo7a3t7W9vT13PwAAAAjHNyfS9R9NbvN+UbqfC6ceAFgFu7u72t3dnbufw8NDnZycaHNzU0+fPg2gMv8IwhbMdV3duXNnbGN4wzDU7/d9vb7dbqvT6UiavNfXLOHavHUGFYTl8/nhn21WgyAsKH//93+vn/zkJ4H1BwAAgMXyPOnEk754Jv3iifTrz07vDpl+Qfr2q9L9W5LxAvsRAkCQfvKTn+gf/uEfAusviiCMPcIWzDAMdbtd5XK5Ycjkuq4sy1I+n5/6+mKxqGKxOPa1ZrOpWq02NoOrVqupXC773rh+njoNwwhkWeNVax0V1Iyw9fX1ufsAAABAeFIp6VrqDzflePf1qCsCgOW3vr6uzc3NufsZzAiLAkFYSB4+fKhc7g/zsjudjq8g7CLlcln5fF65XG4skGo2m3PNCvNb58bGRiBB2MbGxtx93Lx5M/T0GAAAAACAVRTUtkJBr/KaBZvlhySbzY4FSvNuOG+aph49ejT2tcePH8/Vp+SvzqvO5DobngUxIwwAAAAAAMAvgrAQzXPHyItks9mxZZNB3c1xWp23b98ee+53dtjR0dHY80wmM1NdAAAAAAAA8yAIC5FpmsPHQSwLlKR79+4NHwexXFGaXufo0knJfwDX6/XGnl91aSgAYLV43und4SYd3PoHAAAAfrBHWIhGA6aglgVms9nA+5xW59kZYY7jjNVxmdGgzjCMsfMAAHCZE0+6/qPJbb5+73TTbAAAAGASZoSFaH9/f/g46GWS0vmA6qqm1ZnNZscCMr97k432G1StAABI0odPoq4AgB/M8AQARI0ZYSEaXRoY1LLA0WWJQYVrfuq8e/eums2mJMm2bV/9jrar1WpzVAgAWCV+Qq532tK1NemtW4uvB8DVMcMTABA1ZoSFqN1uS5Kq1WpgfQ7CJcMwxjbOn4efOiuVyvCxZVlT+xxtY5om+4MBAHz54pn0g1/5a/v9X0rHzxZaDoAQMMMTALBIBGEhabfbchxHhmHowYMHgfW7s7MjSXr48GEg/fmtM5vNjoVZg/DsMq1Wa/iY2WAAAL8+sKWvfu+v7Ze/k973N0kZQET8zvAkDAMALApB2BVZlqV0Oq1UKqVCoTBxeaDjOPre974nSXr06NHETe0bjYZyuZxqtdrUu0AO2lSr1Utngy2qTkna29sbPh4EchdxXXe4jDKfz6tcLk/sFwCAgU8+m639pzO2BxAeZngCAOKAIOyKWq3WMKiyLEu5XG5sueDA4HsbGxvq9XoT767ouq5qtZps21aj0VA6nb509lSpVFKj0VC9Xle9Xg+1zgHTNIczvQY1X+TOnTuSTpdvjs4MAwBgmv5vF9seQHiY4QkAiAOCsCsqlUrnvtZsNpVOp1UqlVSpVJTL5VQoFFQul9XtdmWa5sQ+DcM412YQiJVKJdVqNRUKBaXTaUmnm9pP229sEXWOKhaL6nQ6MgxDtVpNpVJJtm3Ldd1huGbbtrLZrD7//POps8wAABiVfmGx7QGEhxmeAIA4IAi7onw+r16vp3K5LNM0xwIe27Z1dHSkBw8eqN/vq16v+w6Aut2uqtWqstnsuT4dx1GpVNLnn3+uVqvlK7BaVJ1nzzF4veM4unPnzjBo29jYUKvVUrfbJQQDAMzszVdna//GjO0BhIcZngCAOEh5nudFXQQwq62tLR0cHGhzc1NPnz6NuhwAwIJ88Uza/Ed/y6lefl46eCCt31h8XQBm97//n/Rv/zlD+/8l/cv/WVw9AIDoRPmZnhlhAAAgtr51Q/rZd/y1/fl3CcGAOGOGJwAgDgjCAABArN3PSu8XpZeeu/j7Lz0nfVCS3roVbl0AZnM/e/k4Puvl56W3p9+7CQCAmV2PugAAAIBJUinpfk76qz8/vevcp5+d7h2UfuF0xsjbWWaCAUkwmOH5Tnt6W2Z4AgAWhT3CkEiD9cRra2u6efPmxLbb29va3t4OqTIAAABc5psT6fqPJrd5v3gafgMAkml3d1e7u7sT2xweHurk5CSSPcKYEYZEOzk50cHBwcQ2x8fHIVUDAACASdZS0tfvnd4I4xdPpF+PzPD89qvS/VuS8ULUVQIA5nF8fDz1c3qUCMKQaH5mhK2vr4dUDQAAACZJpaRrKWnjRend108PAMByWV9f1+bm5sQ2gxlhUWBpJBIpylutAgAAAACAq4vyMz13jQQAAAAAAMBKYGkkAABYCZ4nnUyZB7+WOl26BQAAgOVEEAYAAFbCiTf9bnVfv3e6fxEAAACWE0sjAQAA/seHT6KuAAAAAIvEjDAAALAS/IRc77Sla2vSW7cWXw+QFCwrBgAsE4IwAACw9L54Jv3gV/7afv+X0pt/Jq3fWGhJQGKwrBgAsExYGgkAAJbeB7b01e/9tf3yd9L79mLrAZYNy4oBAElBEAYAAJbeJ5/N1v7TGdsDy8zvsmLCMABAEhCEAQCApdf/7WLbA8tq1mXFx88WWg4AAHMjCAMAAEsv/cJi2wPLimXFAIBlQxAGAACW3puvztb+jRnbA8uKZcUAgGVDEAYAAJbe/az00nP+2r78vPR2drH1AEnBsmIAwLIhCAMAAEvvWzekn33HX9uff1dav7HQcoDEYFkxAGDZEIQBAICV8Nat6W3eL/prB6wKlhUDAJbN9agLAAAACMNaSvr6vdO74P3iifTrz06XcaVfkL79qnT/lmQwmwUYcz8r/d2/+Nswn2XFAIAkIAgDAAArIZWSrqWkjReld18/PQBMNlhW/E57eluWFQMAkoClkQAAAAAuxbJiAMAyYUYYEu3w8FBbW1sT22xvb2t7ezukigAAAJYLy4oBALPY3d3V7u7uxDaHh4chVXMeQRgS7eTkRAcHBxPbHB8fh1QNAADA8mFZMQBgFsfHx1M/p0eJIAyJtra2pps3b05ss76+HlI1AIBV4XnSiTe5zVrqNEAAAABYJevr69rc3JzY5vDwUCcnJyFVNC7led6UX+OA+Nna2tLBwYE2Nzf19OnTqMsBAKyYb06k6z+a3Obr96Rr7MaKiBDWAgDiLMrP9MwIAwAAWIAPn0hv56KuAqvqxPMZ1hKEAQBWDP9OCQAAMKMPn0xv807bXzsgKvz9BACsIoIwAACAGXzxTPrBr/y1/f4vpeNnCy0HuBBhLQAAFyMIAwAAmMEHtvTV7/21/fJ30vv2YusBziKsBQDgcgRhAAAAM/jks9nafzpje2BehLUAAFyOIAwAAGAG/d8utj0wL8JaAAAuRxAGAAAwg/QLi20PzIuwFgCAyxGEAQAAzODNV2dr/8aM7YF5EdYCAHA5gjAAAIAZ3M9KLz3nr+3Lz0tvZxdbD3AWYS0AAJcjCAMAAJjBt25IP/uOv7Y//660fmNyG8+TvjmZfHje3GVjhRDWAgBwuetRFwAAAJA0b92S3mlPbvN+8bTdNCeedP1Hk9t8/Z50LeW/PiST553+fZhkLSWlpvxdGIS10/6OSv7CWgAAlglBGAAAwIzWUqfh1BfPpF88kX792emG4+kXpG+/Kt2/JRkB7rv04RPp7Vxw/SGeggxFgwxrAQBYJgRhAAAAM0qlTsOIjReld18/Pa7qwyfT27zTlq6tEVrAfygadlgLAEBSEIQBAABE5Itn0g9+5a/t938pvflnLGNbZkGGokGGtQAALBM2ywcAAIjIB7b01e/9tf3yd9L79mLrQXRmDUWPny20HAAAlhZBGAAAQEQ++Wy29p/O2B7JQSgKAEA4WBqJRDs8PNTW1tbENtvb29re3g6pIgAA/Ov/drHtkRxXCUV/+BeLqQUAgHns7u5qd3d3YpvDw8OQqjmPIAyJdnJyooODg4ltjo+PQ6oGAIDZpGfcrHzW9kgOQlEAwLI4Pj6e+jk9SgRhSLS1tTXdvHlzYpv19fWQqgEAYDZvvir923/6b//Gq4urBdEiFAUALIv19XVtbm5ObHN4eKiTk5OQKhqX8jzPi+TMwBy2trZ0cHCgzc1NPX36NOpyAAC4ki+eSZv/6G9vqJeflw4ecNfIZfXP/y797Sf+2//TmyyNBAAkV5Sf6dksHwAAICLfuiH97Dv+2v78u4Rgy+x+VnrpOX9tX35eeju72HoAAFhWBGEAAAAReuvW9DbvF/218zzpm5PJB2sB4olQFACAcLBHGAAAQITWUtLX750uk/zFE+nXn51uhJ5+Qfr2q9L9W5Lhcz+oE0+6/qPJbb5+T7qWmr9uBO9+VkpJ+r+/uni57EvPnYZgfkJRAABwMYIwAACACKVSp8HUxovSu6+fHov04RPp7dxiz4GrSaWk+znpr/5c+sCWPh0JRd949XQ5JDPBAACYD0EYAADAkvjwyfQ277Sla2vTZxV53ukMs0nWUqfhTRj9BN1XkIKu61s3TjfCZzN8AACCRxAGAACwBL54Jv3gV/7afv+X0pt/Nnl2UVDLLINcrhlkX0GGVyxJBQAgOQjCAAAAlsAH9sX7Sl3ky99J79vzzzhK8jLLsMOrJP+sAABYJtw1EgAAYAl88tls7T+d0t7vMks/7aYJoo8o+wrzZwUAAOZDEAYAALAE+r8Nrv2syyyPn13+/SBDojj2FeTPCgAALB5BGAAAwBJIvxBc+6sss7xIkCFRXPsK6mcFAADCQRAGAACwBN58dbb2b0xoH9QyyyBDorj2FfSSVAAAsFgEYQAAAEvgflZ66Tl/bV9+Xno7e/n3g1pmGWRIFNe+glySCgAAFo8gDAAAYAl864b0s+/4a/vz70rrNy7/flDLLIMMieLaV5BLUgEAwOIRhAEAACyJt25Nb/N+cXq7oJZZBhkSxbWvIJekAgCAxSMIAwAAWBJrKenr96T//rH00zekv/xT6bXN0//+9A3p6MfSX09YEjkQ1DLLIEOiuPYV5JJUAACweARhAAAASyKVkq6tSRsvSu++Lv3r30j/8cPT/777upR+8bTNNEEtswwyJIprX0EuSQUAAItHEIZEOzw81NbW1sRjd3c36jIBAEicIJZZBhkSxbUvKbglqQAALIPd3d2pn9MPDw8jq+96ZGcGAnBycqKDg4OJbY6Pj0OqBgCA5TFYZvnFM+kXT6Rff3a6aXz6Benbr0r3b0mGj7223rolvdOe3MZvSBTXvoL6WQEAsAyOj4+nfk6PEkEYEm1tbU03b96c2GZ9fT2kagAAWB6plHQt9Ydllu++frV+ggyJ4tpXUD8rAACWwfr6ujY3Nye2OTw81MnJSUgVjUt5nudFcmZgDltbWzo4ONDm5qaePn0adTkAAAAAAMCnKD/Ts0cYAAAAAAAAVgJBGAAAAAAAAFYCQRgAAAAAAABWAkFYBBzHUaFQ8N22Uqkok8kolUopnU4rl8upUqnIcZwr19BoNFQoFJROp5VKpZTJZFQqlWRZVqz6BAAAAAAACApBWIBc11UqlZp6ZDIZmaY5tb9Go6FMJqNmszkMvVzXlW3bajabymQyajQaM9VoWZbS6bRqtZokqdVqqdfrqV6vy7ZtFQoFFQoFua4baZ8AAAAAAABB466RAWo0GsMwaJperzcxDCsUCrIsS4ZhKJ/PyzRNOY4j27bPzQRrtVoqFotTz2lZ1nAmWrlc1t7e3rk2uVxOtm3LNE11u10ZhhF6n35w10gAAAAAAJIpys/0BGEBSqfTvmY95fN5dTqdS79fq9XUaDRUr9dVrVbPff+iwG3a/0bXdfUnf/Incl1Xpmmq1+td2M5xHGUyGV91LqJPvwjCAAAAAABIpig/018P9WxLrNlsynVdVavVqft/3b59+9LvOY6jRqOhTqejfD5/YZtqtaper6dmszn8mm3bymazl/ZbKpWGId2kWWumaapYLKrdbsuyLDWbTZXL5dD6BAAAAAAAWBRmhAVkMOPpsllRfpVKJb322msXzgQb5bqu0un08Plls8ek8RlZktTv9ycuT2y32yqVSpIkwzDU7/dD6XMWzAgDAAAAACCZovxMz2b5AWi323Icx/f+YJMMZpVNYxjG2B5jk0Koer0+fJzP56fu0TW635jrumq326H0CQAAAAAAsEgsjQzAzs6ODMPQ3bt35+5rlv2zjo6Oho8nLbccXUI5afnkqMHm/JL00UcfnduMfxF9roLd3V0dHx9rfX1d29vbUZcD4H8wNoH4YVwC8cO4BOKHcTk7lkbOybZt5XK54XPTNJXP51UoFBYa9IwujZy0Af3Z+vzeYbJUKo3N2hr9a7KIPmeV1KWRSa0bWHaMTSB+GJdA/DAugfhJ6rhkaWSCnV0O6TiOms2mSqWSUqmUSqWSbNsO/Lwff/yxpNPgrdVqXdrOsqyx56PLKSc52270z7CIPgEAAAAAABaNIGwOjuOcC4XOarfbyuVyqlQqgZ3XdV1VKhVls1l1Op2J+3M9fvx47Pm0vbwGXnnllbHn+/v7C+0TAAAAAABg0dgjbA6maWpvb0+u66rX68myrOEeWGc1m03t7++r2+3OdU7HcVQoFGQYhh49ejQ1hDpbz1Vnb43eDXMRfQIAAAAAACwaM8LmVC6XVa1Wtbe3p16vp36/r3q9fmFAZdu2CoXClc/VbreVyWTkOM5wj7BGozHxNZcFc7NyXXehfQIAAAAAACwaQVjADMNQtVpVv99Xq9U6F4hZljU1vBrluq4ajYYymYxKpdK579dqtQu/Pvr6qzhb9+gdKhfRJwAAAAAAwKKxNHKBisWi8vm87ty5M7Yx/M7OjqrVqq8+LMtSr9dTPp+/dE+ydrutRqPhu8+rWMTsrSD6PDw81NbW1tz9bG9vc6tZAAAAAAAm2N3d1e7u7tz9HB4eBlDN1RCELZhhGOp2u8rlcsMwzHVdWZalfD4/9fXFYlHFYnHsa81mU7VabSxIqtVqKpfL52ZdGYYRSOA02u8i+ryqk5MTHRwczN3P8fHx3H0AAAAAALDMjo+PA/kMHiWCsJA8fPhQuVxu+LzT6fgKwi5SLpeVz+eVy+XGAqlms3luVtjGxkYgodXGxsZC+5zVl19+KUlKpVL64z/+47lrWV9fn7uPZba7u6vj42Otr68nauZcUuuWklt7UutOqqT+vKk7XEmtO6mS+vOm7nAlte6kSurPm7rDldS6w7a+vq7Nzc25+/nNb34jz/OGn+1D5SE0+Xzek+RJ8orF4tz9dbvdYX+X9ZnNZsfa+NVqtcZeV61WF9rnrNbW1jxJ3tra2pX7iMLm5qYnydvc3Iy6lJlQd/iSWjt1h4u6w0Xd4aLucFF3uKg7XNQdLuoOV1LrjvIzPZvlh2ieO0ZeJJvNji2bvOhujrdv3x577ncm19mN7DOZzEL7BAAAAAAAWDSCsBCZpjl8PM+ywFH37t0bPr4okBpdjildHJZdpNfrjT0fXca5iD4BAAAAAAAWjSAsRKNBWBAbxUuns8Im9Xl29pbf0Go0VDMMY6z2RfQJAAAAAACwaARhIdrf3x8+DnqZpHQ+oJJOg7LRgOzx48e++hqt9Wy/i+gTAAAAAABg0QjCQjS6NDCoZYGjs7EuC9fu3r07fGzbtq9+R9vVarVQ+gQAAAAAAFgkgrAQtdttSVK1Wg2sz0G4ZBjG2Mb5oyqVyvCxZVlT+xxtY5rmhaHdIvoEAAAAAABYJIKwkLTbbTmOI8Mw9ODBg8D63dnZkSQ9fPjw0jbZbHYseBoEcpdptVrDx5fN3FpEnwAAAAAAAIuU8jzPi7qIJLIsS6VSSa7rKp/Pq16vj21cP8pxHOVyObmuq263e2k7SWo0Gvroo4+Uz+f14MGDiZvq12o1NRoNVatV1ev1ifU6jqNMJiPpNMTqdrsXtnNdV+l0WtLp8s1OpxNqn36lUqnh483Nzbn7C8vh4aFOTk60trammzdvRl2Ob9QdvqTWTt3hou5wUXe4qDtc1B0u6g4XdYeLusOV1LoPDg6Gj0OPpTxcSblc9iSNHeVy+Vy7TqfjGYbhmabp9Xq9iX32+/1zfVar1QvbFotFT5JXr9d919xqtYb9Xva6bDbrSfIMw/D6/X4kffqRSqXO/aw4ODg4ODg4ODg4ODg4ODiSc6RSqUAygpnyBM9jRthVWJZ14eb0hmEon89rY2ND+/v7sm1b1Wp16uyugUwmM7YB/mifpmnKtm3t7+8PZ6GZpjlz3YOZbMViUQ8ePJBpmtrf31etVpNt28pms3r06JGvehfV5zQvvfSSnj17pmvXrumP/uiPAukTAAAAAAAs3n/913/pm2++0Y0bN/TVV1+Fem6CsDk4jqN6vS7LsnR0dCTXdWUYhjY2NpTNZnXv3j3l8/mZwh/XdbWzsyPLsuQ4zrk+C4WC7t69O3egNFiCOXqO27dvq1KpXLrpfhR9AgAAAAAABIUgDAAAAAAAACuBu0YCAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQvkOI4KhYLa7XYo52s0GioUCkqn00qlUspkMiqVSrIsK5TzA3EV97ExuFYAyyDK8Rb3sQ5EJe5jg/dBrBo+J0aLIAxYANd1VSqVlMlkZFmWjo6OFno+y7KUTqdVq9UkSa1WS71eT/V6XbZtq1AoqFAoyHXdhdYBxE3UY8N1XaVSqalHJpORaZoLqQEIS5TjLeqxDsRV1GOD90FgHJ8TY8IDEJh+v+9Vq1VP0tixt7e3sHN2Op3hecrl8oVtstmsJ8kzTdPr9/sLqwWIkziMjXq9fu56cNnR6/UCPz8QlijHWxzGOhBHcRgbvA8Cp/icGC8EYUBA6vW6Z5qml8/nQ7vA9ft9zzCM4cXrMr1eb1hLPp9fSC1AnMRlbAxqmHYwLpFkUY63uIx1IG7iMjZ4HwT4nBhHLI0EAmDbtvL5vHq9njqdjvb29kI5b6lUGk5jHUx3vYhpmioWi5JOp8c2m80wygMiE4ex0Ww25bquqtWqOp3OxKPVagV2XiBsUY63OIx1II7iMDZ4HwT4nBhXKc/zvKiLAJaNbdvK5XLD53t7eyqXy4Gew3EcZTKZ4fN+vy/DMC5t3263VSqVJEmGYajf7wdaDxAXcRkbgxp6vV4g/QFxFOV4i8tYB+ImLmOD90HgPD4nxgMzwoAFmHShCUq9Xh8+zufzU885SPql000aw7pDCRC2OIyNdrstx3Em/gscsAyiHG9xGOtAHMVhbPA+CFyMz4nxQBAGJNTotNVsNuvrNaN34/noo48CrwmIgziMjZ2dHRmGobt3787dFxBnUY63OIx1II7iMDZ4HwSiE4drQNwRhAEJZNv22PPXXnvN1+tGL4SrkPRj9cRhbNi2Ldu25bqu0um0MpmMKpUKYw5LJ8rxFoexDsRRHMYG74NAdOJwDUgCgjAggSzLGns+muBPcrbd2QslkHRxGBtnl4E4jqNms6lSqaRUKqVSqcTYw1KIcrzFYawDcRSHscH7IBCdOFwDkoAgDEigx48fjz33u9b8lVdeGXu+v78fVElALEQ9NhzHOfcLyFntdlu5XE6VSuVK5wDiIsrxFvVYB+Iq6rHB+yAQraivAUlxPeoCAMzOcZyx51dN+rmLD5ZN1GPDNE3t7e3JdV31ej1ZlnWupoFms6n9/X11u90rnQuIWpTjLeqxDsRV1GOD90EgWlFfA5KCIAxIoMt+oZiV67qB9APERRzGxtlbYLuuq2azqZ2dnXP92ratQqGgTqdz5fMBUYlyvMVhrANxFIexwfsgEJ04XAOSgKWRQAJd9cJ0dmrs0dHR/MUAMRLHsWEYhqrVqvr9vlqt1rlzWZalRqMR2PmAsEQ53uI41oE4iOPY4H0QCE8crwFxRBAGrLBlT/qBq1rU2CgWi/r888/P3cp6Z2dnIecDkiDK9yLeB4GL8T4IrLZlf38kCAMSyO+mh2H1A8RFEsaGYRjqdrtjHwJc1526uTAQN1GOtySMdSAKSRgbvA8Ci5OEa0AcEIRhKTWbTaVSqUCPXC4X9R9raGNjI1b9AH6EMS6TNDYePnw49pz9UZA0UY63JI11IExJGhu8DwLBS9I1IEoEYUACXTWhPzvFddmTfqyeJI2NbDarfD4/fB7U5qZAWKIcb0ka60CYkjQ2eB8Egpeka0CUuGskllI+n1er1Qq0zzhdDG7fvi3btofPXdf1Vd/ZTQ8zmUzQpQGXCmNcJm1sFAoFloIgsaIcb0kb60BYkjY2eB8EgpW0a0BUCMKwlEzTlGmaUZexMGeXgzmOc27T0Yv0er2x56P/CgcsWhjjMmljY/TnsexT0LF8ohxvSRvrQFiSNjZ4HwSClbRrQFRYGgkk0O3bt8ee+51KPjrl1TCMpQ4LsZqSNjZGzxOnWaeAH1GOt6SNdSAsSRsbvA8CwUraNSAqBGFAAmWz2bFfFh4/fuzrdfv7+8PHZy+SwDJI2tgYPW+hUAjtvEAQohxvSRvrQFiSNjZ4HwSClbRrQFQIwoCEunv37vDx6DrwSUbb1Wq1wGsC4iBJY2N0GvqyT0HHcopyvCVprANhStLY4H0QCF6SrgFRIQgDEqpSqQwf+9lkdLSNaZr8soGllaSx0W63JUnVajW0cwJBinK8JWmsA2FK0tjgfRAIXpKuAVEhCAMW4OztZ6+i2WyqVqtduq777C2nB79IXGb0bn2rkPJjdS1ybEwbl7Not9tyHEeGYejBgwdz9wdEIcrxxvsgcDHeB4H44nNiTHgAAtdqtTxJw6Ner8/0+nw+P/b6fr9/Ybterzdsk81mL+2v3+8P2+Xz+ZlqAZJoEWNj2rjsdDqeYRjDvrrd7sT6Bm0ntQOSIIrxtshzA8uA90EgnvicGA8EYUDA+v2+Z5rm2AVq0sXnIqOvleTt7e1d2nb0YnrZhTSbzXqSPMMwLr1YAssm6LExbVyWy+Vzbcrl8rl+Bh8UTNP0er3elf98QJyEPd4WeW5gWfA+CMQLnxPjgyAMCEC/3/eKxeK5hP7skc/nvWKxOPVfvgb/QjY4Op3OxPaj/wI36L/f73udTmd4cctmsyt1cQM8L9ixMW1cdjqdC8e9YRhesVj0yuXy8JzVapXxiKUT5nhb5LmBZcL7IBAtPifGE0EYEEOdTsczTdMzDMOrVqu+X1ev171sNju82BmG4eXzea/Vai2wWiD+ghgbfsZlr9fzyuXysN3gXKZpesVi0Wu1Wiv3iwZWT1jjbVHnBpYR74PAcuD9MRgpz/M8AQAAAAAAAEuOu0YCAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAABgJRCEAQAAAAAAYCUQhAEAAAAAAGAlEIQBAAAAAAAsgXQ6Lcdxoi4j1gjCAAAAAAAAEq7RaMh1Xe3t7UVdSqylPM/zoi4CAAAAAAAAV5fJZOQ4jgzDUL/fj7qc2GJGGAAAAAAAQIK12+3hkkjXddVutyOuKL6YEQYAAAAAAJBguVxOtm0Pn2ezWXW73Qgrii9mhAEAAAAAACSUbdtjIdhlX8MpgjAAAAAAAICE2tnZufDrQW+a77qums1moH1GgaWRAAAAAAAACeS6rtLptCSp1WqpVCqNfT+oyMd1XeVyOWWzWbVarUD6jAozwgAAAAAAABJoMBusXC6rWCzKNM2x7wcxg8t1Xd25c0eO46hQKMzdX9SYEQYAAAAAAJBA6XRaruuq1+vJNE01m01VKpXh903TVK/Xm+scoxvx9/t9GYYxV39RY0YYAAAAAABAwjSbTbmuq3w+P5wJVi6Xx9o4jiPLsq7Uv23bymQywxDMNM3Eh2ASQRgAAAAAAEDi1Ot1SVKtVhv7+tkwbNZN823bVqlUUi6Xk+M4w68bhqFmszk8koqlkQAAAAAAAAliWZYKhcKFSx9t21Yulxv7mt8lje12+9yG+xcxDEP9fn+mmuOCGWEAAAAAAAAJctlsMEnKZrPKZrNjX/M7g6tYLMrzPHmep06nM/a9wdc9z0tsCCYRhAEAAAAAACTGYN8vwzDOLYMcGN0wX/rD3SVn0Wq1ho/PBmtJRhAGAAAAAACQEIPZYJeFYIPvjS6FdF1X7XZ7pvOMbrJ/79692YqMMfYIAwAAAAAASADXdZVOpyVN3/erUqmMLYnM5/Pnljv6OY8kdbvdpZkVxowwAAAAAACABBgEW8Vicerm92f3D7Msa+wukJOMzgaTWBoJAAAAAACAkA32+nrw4MHUtqZpnguwBssqpxmdOZbP52eoMP4IwgAAAAAAAGKu3W7Ldd0L7wp5mbOBmd+7R3788cfDx6VSyX+RCUAQBgAAAAAAEHOzzAYbuGgJ5bQwzHEcua47fM6MMAAAAAAAAITGtm3Zti3DMFQsFmd67dm7S+7t7U1sP7o/mGEYMk1zpvPFHUEYAAAAAABAjF1lNthApVIZez4I1S6zzPuDSQRhAAAAAAAAseW6rtrttqTzs7v8ME3zXKA1CNYuMjoj7N69e77O4TiOGo2GCoWC0um0CoXC2Pdd11WpVFI6nVaj0Zih+uARhAEAAAAAAMTUILQql8vn9vvy6+yssMHG+2dddX8wy7KUz+dVKBTkuq4syxrOOnNdV7lcTrZty3XdsRlnUSAIAwAAAAAAiKnB5va1Wu3KffjdNH8w80w6nUk2+ppJm+yXy2Vls1lVq9Xh1wYzy0qlklqtlnq9nnq9HkEYAAAAAAAAzms2m3JdV/l8fu5N6/1smn/Z/mCzLGccvK7T6ajRaKhUKimbzUpSLDbeJwgDAAAAAACIoXq9Lmm+2WADZzfadxxnbD8waXx/sME+X+12W51Ox/f+ZIPXWZY10+vCcj3qAgAAAAAAADDOsiw5jiPp/B5fQanX68MZXGfvJPn48WMdHR1pb29Pjx498t3n6EyyQZAXJwRhAAAAAAAAMTMaIg0CsaANwjbTNM+do9FoyDRNdbvdmTbpHyyDlKSjo6OgSg0MSyMBAAAAAABiptPpyPO8hR+DfbuKxeLwzpSmaapararX6818p8rRQC3qjfEvkvI8z4u6CAAAAAAAACRfLpfTxsaGLMtSNptVt9uNuqQxBGEAAAAAAACYW6VSUS6Xk2maw03z4xY7sTQSAAAAAAAAc7EsS0dHRyqXy7p9+/bw66Ob8DebzShKG0MQBgAAAAAAgJm4rivLsiSd7gtWr9fVarUkSYZhDDfN39vbk3Q6W2w0IIsKQRgAAAAAAABmUiqVVCgUlE6nVSgUhiHYQD6fl3Q6CyyTySiXy43dUTIqBGEAAAAAAACYSalUkmEY2tjYUKfTOXd3yQcPHsg0TRmGoUqlonK5HE2hZ7BZPgAAAAAAAFYCM8IAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBIIwgAAAAAAALASCMIAAAAAAACwEgjCAAAAAAAAsBL+P6FythAlUcIXAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-1.0, 1.0, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"dSlope_xEndT\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"$\\Delta t_x$\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(-0.5, 0.5, 100)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"dSlope_yEndT\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_xEndT\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"$\\Delta t_y$\")\n",
    "plt.ylabel(\"$z_{Mag}$ [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "intercept= 5303.132333467949\n",
      "coef= {'ideal_state_770_tx': -13.441950438394027, 'dSlope_xEndT': -4.369407701653064, 'dSlope_xEndT_abs': 230.37763264120008, 'x_EndT_abs': 0.026704166547390083, 'ideal_state_770_ty': -14.30702118941663, 'ideal_state_770_tx^2': 77928.66766333766, 'ideal_state_770_tx dSlope_xEndT': 69687.8060631645, 'ideal_state_770_tx dSlope_xEndT_abs': -86.35194840522867, 'ideal_state_770_tx x_EndT_abs': 0.00970580581706756, 'ideal_state_770_tx ideal_state_770_ty': -180.61816411073835, 'dSlope_xEndT^2': 7579.721527263535, 'dSlope_xEndT dSlope_xEndT_abs': -49.35311026671389, 'dSlope_xEndT x_EndT_abs': 0.015857700483615466, 'dSlope_xEndT ideal_state_770_ty': -35.74149120660231, 'dSlope_xEndT_abs^2': 7579.723402132595, 'dSlope_xEndT_abs x_EndT_abs': -0.22195273681292957, 'dSlope_xEndT_abs ideal_state_770_ty': 1.9491174288661794, 'x_EndT_abs^2': -0.0009034030507007965, 'x_EndT_abs ideal_state_770_ty': 0.0034286491846703187, 'ideal_state_770_ty^2': -2489.6827607187365, 'ideal_state_770_tx^3': 2357.797471515544, 'ideal_state_770_tx^2 dSlope_xEndT': 1960.401925113787, 'ideal_state_770_tx^2 dSlope_xEndT_abs': -20252.830218161023, 'ideal_state_770_tx^2 x_EndT_abs': -13.500325039413802, 'ideal_state_770_tx^2 ideal_state_770_ty': -766.130872351457, 'ideal_state_770_tx dSlope_xEndT dSlope_xEndT_abs': -19474.231043469852, 'ideal_state_770_tx dSlope_xEndT x_EndT_abs': -11.598943144027315, 'ideal_state_770_tx dSlope_xEndT ideal_state_770_ty': -626.8199943500564, 'ideal_state_770_tx dSlope_xEndT_abs^2': 573.5326109010182, 'ideal_state_770_tx dSlope_xEndT_abs x_EndT_abs': 0.001095488438740151, 'ideal_state_770_tx dSlope_xEndT_abs ideal_state_770_ty': 330.5306955155975, 'ideal_state_770_tx x_EndT_abs^2': -3.111920124211576e-05, 'ideal_state_770_tx x_EndT_abs ideal_state_770_ty': 0.06268520395759442, 'ideal_state_770_tx ideal_state_770_ty^2': 95.20495106050294, 'dSlope_xEndT^3': 42.93032905404232, 'dSlope_xEndT^2 dSlope_xEndT_abs': -4365.747480960424, 'dSlope_xEndT^2 x_EndT_abs': -1.2192562284269424, 'dSlope_xEndT^2 ideal_state_770_ty': -134.19763413582538, 'dSlope_xEndT dSlope_xEndT_abs^2': 42.930335617557944, 'dSlope_xEndT dSlope_xEndT_abs x_EndT_abs': -0.023890507178523725, 'dSlope_xEndT dSlope_xEndT_abs ideal_state_770_ty': 106.84806568209468, 'dSlope_xEndT x_EndT_abs ideal_state_770_ty': -0.009451904933143932, 'dSlope_xEndT ideal_state_770_ty^2': -8.505381537855747, 'dSlope_xEndT_abs^2 x_EndT_abs': -1.2193799254865163, 'dSlope_xEndT_abs x_EndT_abs^2': 0.0002552425918335738, 'dSlope_xEndT_abs x_EndT_abs ideal_state_770_ty': 0.01563137413267504, 'dSlope_xEndT_abs ideal_state_770_ty^2': 2033.0314554223403, 'x_EndT_abs^3': 1.5428826370868625e-07, 'x_EndT_abs^2 ideal_state_770_ty': 6.223748596200707e-06, 'x_EndT_abs ideal_state_770_ty^2': 0.5895518247828866}\n",
      "r2 score= 0.8237497474212265\n",
      "RMSE = 34.7702514276615\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.linear_model import LinearRegression, Lasso, Ridge, ElasticNet, LassoCV\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import numpy as np\n",
    "\n",
    "features = [\n",
    "    \"ideal_state_770_tx\",\n",
    "    \"dSlope_xEndT\",\n",
    "    \"dSlope_xEndT_abs\",\n",
    "    \"x_EndT_abs\",\n",
    "    # \"dSlope_yEndT\",\n",
    "    # \"dSlope_yEndT_abs\",\n",
    "    \"ideal_state_770_ty\",\n",
    "    # \"ideal_state_9410_ty\",\n",
    "    # \"ideal_state_770_x\",\n",
    "    # \"x_EndVelo_abs\",\n",
    "]\n",
    "\n",
    "target_feat = \"z_mag_xEndT\"\n",
    "order = 3\n",
    "\n",
    "data = np.column_stack([ak.to_numpy(sel_array[feat]) for feat in features])\n",
    "target = ak.to_numpy(sel_array[target_feat])\n",
    "X_train, X_test, y_train, y_test = train_test_split(data,\n",
    "                                                    target,\n",
    "                                                    test_size=0.2,\n",
    "                                                    random_state=42)\n",
    "\n",
    "poly = PolynomialFeatures(degree=order, include_bias=False)\n",
    "X_train_model = poly.fit_transform(X_train)\n",
    "X_test_model = poly.fit_transform(X_test)\n",
    "\n",
    "poly_features = poly.get_feature_names_out(input_features=features)\n",
    "\n",
    "keep = [\n",
    "    \"ideal_state_770_tx\",\n",
    "    \"dSlope_xEndT\",\n",
    "    \"dSlope_xEndT_abs\",  # keep\n",
    "    \"x_EndT_abs\",  # keep\n",
    "    \"ideal_state_770_ty\",\n",
    "    \"ideal_state_770_tx^2\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT_abs\",\n",
    "    \"ideal_state_770_tx x_EndT_abs\",\n",
    "    \"ideal_state_770_tx ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT^2\",  # keep\n",
    "    \"dSlope_xEndT dSlope_xEndT_abs\",\n",
    "    \"dSlope_xEndT x_EndT_abs\",\n",
    "    \"dSlope_xEndT ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT_abs^2\",\n",
    "    \"dSlope_xEndT_abs x_EndT_abs\",\n",
    "    \"dSlope_xEndT_abs ideal_state_770_ty\",\n",
    "    \"x_EndT_abs^2\",\n",
    "    \"x_EndT_abs ideal_state_770_ty\",\n",
    "    \"ideal_state_770_ty^2\",  # keep\n",
    "    \"ideal_state_770_tx^3\",\n",
    "    \"ideal_state_770_tx^2 dSlope_xEndT\",\n",
    "    \"ideal_state_770_tx^2 dSlope_xEndT_abs\",\n",
    "    \"ideal_state_770_tx^2 x_EndT_abs\",\n",
    "    \"ideal_state_770_tx^2 ideal_state_770_ty\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT dSlope_xEndT_abs\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT x_EndT_abs\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT ideal_state_770_ty\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT_abs^2\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT_abs x_EndT_abs\",\n",
    "    \"ideal_state_770_tx dSlope_xEndT_abs ideal_state_770_ty\",\n",
    "    \"ideal_state_770_tx x_EndT_abs^2\",\n",
    "    \"ideal_state_770_tx x_EndT_abs ideal_state_770_ty\",\n",
    "    \"ideal_state_770_tx ideal_state_770_ty^2\",\n",
    "    \"dSlope_xEndT^3\",\n",
    "    \"dSlope_xEndT^2 dSlope_xEndT_abs\",\n",
    "    \"dSlope_xEndT^2 x_EndT_abs\",\n",
    "    \"dSlope_xEndT^2 ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT dSlope_xEndT_abs^2\",\n",
    "    \"dSlope_xEndT dSlope_xEndT_abs x_EndT_abs\",\n",
    "    \"dSlope_xEndT dSlope_xEndT_abs ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT x_EndT_abs ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT ideal_state_770_ty^2\",\n",
    "    \"dSlope_xEndT_abs^2 x_EndT_abs\",\n",
    "    \"dSlope_xEndT_abs x_EndT_abs^2\",\n",
    "    \"dSlope_xEndT_abs x_EndT_abs ideal_state_770_ty\",\n",
    "    \"dSlope_xEndT_abs ideal_state_770_ty^2\",\n",
    "    \"x_EndT_abs^3\",\n",
    "    \"x_EndT_abs^2 ideal_state_770_ty\",\n",
    "    \"x_EndT_abs ideal_state_770_ty^2\",\n",
    "]\n",
    "\n",
    "# keep = [\n",
    "#     \"ideal_state_770_tx^2\",\n",
    "#     \"dSlope_xEndT^2\",\n",
    "#     \"dSlope_xEndT_abs\",\n",
    "#     \"x_EndT_abs\",\n",
    "# ]\n",
    "remove = [i for i, f in enumerate(poly_features) if f not in keep]\n",
    "\n",
    "X_train_model = np.delete(X_train_model, remove, axis=1)\n",
    "X_test_model = np.delete(X_test_model, remove, axis=1)\n",
    "poly_features = np.delete(poly_features, remove)\n",
    "# print(poly_features)\n",
    "\n",
    "lin_reg = LinearRegression()\n",
    "# lin_reg = Lasso(alpha=0.1)\n",
    "# lin_reg = LassoCV(max_iter=2000)\n",
    "# lin_reg = ElasticNet(alpha=0.1)\n",
    "# lin_reg = Ridge(alpha=0)\n",
    "lin_reg.fit(X_train_model, y_train)\n",
    "y_pred_test = lin_reg.predict(X_test_model)\n",
    "print(\"intercept=\", lin_reg.intercept_)\n",
    "print(\"coef=\", dict(zip(poly_features, lin_reg.coef_)))\n",
    "print(\"r2 score=\", lin_reg.score(X_test_model, y_test))\n",
    "print(\"RMSE =\", mean_squared_error(y_test, y_pred_test, squared=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ideal_state_770_tx x_EndT_abs^2',\n",
       " 'dSlope_xEndT x_EndT_abs^2',\n",
       " 'x_EndT_abs^3',\n",
       " 'x_EndT_abs^2 ideal_state_770_ty']"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "koeffs = dict(zip(poly_features, lin_reg.coef_))\n",
    "\n",
    "remove = []\n",
    "for itr in koeffs.items():\n",
    "    if abs(itr[1]) < 1e-4:\n",
    "        remove.append(itr[0])\n",
    "remove"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ls_koeffs = []\n",
    "for itr in koeffs.items():\n",
    "    ls_koeffs.append(itr[0])\n",
    "ls_koeffs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(5150, 5700, 50)\n",
    "ax = sns.regplot(\n",
    "    x=y_test,\n",
    "    y=abs(y_test - y_pred_test),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    "    label=\"bla\",\n",
    ")\n",
    "ax2 = ax.twinx()\n",
    "ax2.hist(y_test, bins=50, range=[5150, 5700], color=\"#2A9D8F\", alpha=0.8, align=\"left\")\n",
    "ax.set_xlabel(r\"z$_{Mag}$ [mm]\")\n",
    "ax.set_ylabel(\"Mean Deviation [mm]\")\n",
    "ax2.set_ylabel(\"Number of Tracks\")\n",
    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure()\n",
    "plt.hist(\n",
    "    sel_array[\"z_mag_corr\"],\n",
    "    bins=100,\n",
    "    # range=[5100, 5700],\n",
    "    color=\"#2A9D8F\",\n",
    "    density=True,\n",
    ")\n",
    "plt.xlabel(r\"z$_{Mag}$ correction [mm]\")\n",
    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-0.4, 0.4, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_tx\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(5100, 5700)\n",
    "plt.xlabel(\"dx/dz(VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-0.25, 0.25, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_ty\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(4500, 5700)\n",
    "\n",
    "plt.xlabel(\"dy/dz(VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-0.25, 0.25, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_9410_ty\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "# plt.ylim(4500, 5700)\n",
    "\n",
    "plt.xlabel(\"dy/dz(T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-300, 300, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"ideal_state_770_x\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"x (VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(0, 500, 50)\n",
    "sns.regplot(\n",
    "    # x=ak.to_numpy(sel_array[\"ideal_state_770_y\"]),\n",
    "    x=ak.to_numpy(sel_array[\"x_EndT_abs\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"x (T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(0, 500, 50)\n",
    "sns.regplot(\n",
    "    # x=ak.to_numpy(sel_array[\"ideal_state_770_y\"]),\n",
    "    x=ak.to_numpy(sel_array[\"y_EndVelo_abs\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"y (VELO)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(0, 500, 50)\n",
    "sns.regplot(\n",
    "    # x=ak.to_numpy(sel_array[\"ideal_state_770_y\"]),\n",
    "    x=ak.to_numpy(sel_array[\"y_EndT_abs\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"y (T)\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-1.0, 1.0, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"dSlope_xEndT\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"$\\Delta t_x$\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-1.0, 1.0, 50)\n",
    "sns.regplot(\n",
    "    x=ak.to_numpy(sel_array[\"dSlope_yEndT_abs\"]),\n",
    "    y=ak.to_numpy(sel_array[\"z_mag_corr\"]),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    ")\n",
    "plt.xlabel(\"$\\Delta t_y$\")\n",
    "plt.ylabel(\"$z_{Mag}$ correction [mm]\")\n",
    "mplhep.lhcb.text(\"Simulation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = [\n",
    "    # # \"ideal_state_770_tx\",\n",
    "    # \"ideal_state_770_ty\",\n",
    "    # \"ideal_state_9410_ty\",\n",
    "    # # \"dSlope_yEndT\",\n",
    "    # # \"dSlope_yEndT_abs\",\n",
    "    # # \"ideal_state_770_x\",\n",
    "    # # \"ideal_state_9410_x\",\n",
    "    # # \"x_EndVelo_abs\",\n",
    "    # \"y_EndVelo_abs\",\n",
    "    # # \"y_EndT_abs\",\n",
    "    # \"dSlope_xEndT\",\n",
    "    # \"dSlope_xEndT_abs\",\n",
    "    # \"x_EndT_abs\",\n",
    "    \"ideal_state_770_tx\",\n",
    "    \"ideal_state_770_ty\",\n",
    "    \"ideal_state_9410_ty\",\n",
    "    \"ideal_state_9410_tx\",\n",
    "    \"dSlope_xEndT\",\n",
    "    \"dSlope_xEndT_abs\",\n",
    "    \"x_EndT_abs\",\n",
    "    \"ideal_state_770_x\",\n",
    "    \"x_EndVelo_abs\",\n",
    "]\n",
    "\n",
    "target_feat = \"z_mag_corr\"\n",
    "order = 4\n",
    "\n",
    "data = np.column_stack([ak.to_numpy(sel_array[feat]) for feat in features])\n",
    "target = ak.to_numpy(sel_array[target_feat])\n",
    "X_train, X_test, y_train, y_test = train_test_split(data,\n",
    "                                                    target,\n",
    "                                                    test_size=0.1,\n",
    "                                                    random_state=42)\n",
    "\n",
    "poly = PolynomialFeatures(degree=order, include_bias=True)\n",
    "X_train_model = poly.fit_transform(X_train)\n",
    "X_test_model = poly.fit_transform(X_test)\n",
    "\n",
    "poly_features = poly.get_feature_names_out(input_features=features)\n",
    "\n",
    "# keep = [\n",
    "#     \"ideal_state_770_tx^2\",\n",
    "#     \"ideal_state_770_x\",\n",
    "#     # \"x_EndVelo_abs\",\n",
    "#     \"dSlope_xEndT^2\",\n",
    "#     \"dSlope_xEndT_abs\",\n",
    "#     \"x_EndT_abs\",\n",
    "# ]\n",
    "# remove = [i for i, f in enumerate(poly_features) if f not in keep]\n",
    "# remove_term = [\n",
    "#     \"ideal_state_770_x^2 ideal_state_9410_x\",\n",
    "# ]\n",
    "# remove = [i for i, f in enumerate(poly_features) if f in remove_term]\n",
    "\n",
    "# X_train_model = np.delete(X_train_model, remove, axis=1)\n",
    "# X_test_model = np.delete(X_test_model, remove, axis=1)\n",
    "# poly_features = np.delete(poly_features, remove)\n",
    "# print(poly_features)\n",
    "\n",
    "# lin_reg = LinearRegression()\n",
    "lin_reg = Lasso(alpha=0.1, max_iter=2000)\n",
    "# lin_reg = LassoCV()\n",
    "# lin_reg = ElasticNet(alpha=1)\n",
    "# lin_reg = Ridge(alpha=1)\n",
    "lin_reg.fit(X_train_model, y_train)\n",
    "y_pred_test = lin_reg.predict(X_test_model)\n",
    "print(\"intercept=\", lin_reg.intercept_)\n",
    "print(\"coef=\", dict(zip(poly_features, lin_reg.coef_)))\n",
    "print(\"r2 score=\", lin_reg.score(X_test_model, y_test))\n",
    "print(\"RMSE =\", mean_squared_error(y_test, y_pred_test, squared=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = np.linspace(-200, 200, 50)\n",
    "ax = sns.regplot(\n",
    "    x=y_test,\n",
    "    y=abs(y_test - y_pred_test),\n",
    "    x_bins=bins,\n",
    "    fit_reg=None,\n",
    "    x_estimator=np.mean,\n",
    "    label=\"bla\",\n",
    ")\n",
    "ax2 = ax.twinx()\n",
    "ax2.hist(y_test,\n",
    "         bins=30,\n",
    "         range=[-200, 200],\n",
    "         color=\"#2A9D8F\",\n",
    "         alpha=0.8,\n",
    "         align=\"left\")\n",
    "ax.set_xlabel(r\"z$_{Mag}$ correction [mm]\")\n",
    "ax.set_ylabel(\"Mean Deviation [mm]\")\n",
    "ax2.set_ylabel(\"Number of Tracks\")\n",
    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.6",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "a2eff8b4da8b8eebf5ee2e5f811f31a557e0a202b4d2f04f849b065340a6eda6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}