{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded reward traces from file.\n",
      "Loaded reward traces from file.\n"
     ]
    }
   ],
   "source": [
    "from hippocampus.environments import SimpleMDP, HexWaterMaze, TwoStepTask\n",
    "from hippocampus.experiments.reliability_in_twostep import CombinedAgent\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded reward traces from file.\n"
     ]
    }
   ],
   "source": [
    "ag = CombinedAgent(env=TwoStepTask(5, common_prob=.5))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "df1f8abc3995449db01b6f1bafeff8d9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=272), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "df = pd.DataFrame({})\n",
    "for ep in tqdm(range(272)):\n",
    "    results = ag.one_episode()\n",
    "    results['trial'] = ep\n",
    "    df = df.append(results, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.49749487656293995"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ag.DLS.reliability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='trial', y=['DLS reliability', 'HPC reliability'])\n",
    "plt.ylim([0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='trial', y='P(SR)')\n",
    "plt.ylim([0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Action1</th>\n",
       "      <th>Action2</th>\n",
       "      <th>DLS reliability</th>\n",
       "      <th>HPC reliability</th>\n",
       "      <th>P(SR)</th>\n",
       "      <th>RPE</th>\n",
       "      <th>Reward</th>\n",
       "      <th>SPE0</th>\n",
       "      <th>SPE1</th>\n",
       "      <th>SPE2</th>\n",
       "      <th>...</th>\n",
       "      <th>SPE5</th>\n",
       "      <th>SPE6</th>\n",
       "      <th>SPE7</th>\n",
       "      <th>SPE8</th>\n",
       "      <th>StartState</th>\n",
       "      <th>State2</th>\n",
       "      <th>Terminus</th>\n",
       "      <th>omega</th>\n",
       "      <th>omega_dls</th>\n",
       "      <th>trial</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.670312</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[0.912673, 0.93948865, 0.912673, 0.912673, 0.9...</td>\n",
       "      <td>0.912673</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.059100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.651091</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[0.8329720049289999, 0.86012748966145, 0.85978...</td>\n",
       "      <td>0.832972</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.087327</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.634267</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[0.7602310586545651, 0.7874285448717846, 0.808...</td>\n",
       "      <td>0.760231</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.114707</td>\n",
       "      <td>0.008610</td>\n",
       "      <td>0.617231</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[0.6938423609954378, 0.7208368399837662, 0.759...</td>\n",
       "      <td>0.693842</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111266</td>\n",
       "      <td>0.008202</td>\n",
       "      <td>0.599992</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[0.6332511891367892, 0.6827491103735038, 0.700...</td>\n",
       "      <td>0.663251</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Action1  Action2  DLS reliability  HPC reliability     P(SR)  RPE  Reward  \\\n",
       "0      0.0      1.0         0.030000         0.000000  0.670312  0.0     0.0   \n",
       "1      1.0      1.0         0.059100         0.000000  0.651091  0.0     0.0   \n",
       "2      1.0      1.0         0.087327         0.003000  0.634267  0.0     0.0   \n",
       "3      1.0      1.0         0.114707         0.008610  0.617231  0.0     0.0   \n",
       "4      0.0      0.0         0.111266         0.008202  0.599992  1.0     1.0   \n",
       "\n",
       "   SPE0  SPE1  SPE2  ...  SPE5  SPE6  SPE7  SPE8  StartState  State2  \\\n",
       "0   0.0   0.0   0.0  ...   0.0  0.00   0.0   1.0         0.0     4.0   \n",
       "1   0.0   0.0   0.0  ...   0.0  1.00   0.0   0.0         0.0     3.0   \n",
       "2   0.0   0.0   0.0  ...   0.0  0.90   0.0   0.0         0.0     3.0   \n",
       "3   0.0   0.0   0.0  ...   0.0  0.81   0.0   0.0         0.0     3.0   \n",
       "4   0.0   0.0   0.0  ...   0.0  0.00   1.0  -0.1         0.0     4.0   \n",
       "\n",
       "   Terminus                                              omega  omega_dls  \\\n",
       "0       8.0  [0.912673, 0.93948865, 0.912673, 0.912673, 0.9...   0.912673   \n",
       "1       6.0  [0.8329720049289999, 0.86012748966145, 0.85978...   0.832972   \n",
       "2       6.0  [0.7602310586545651, 0.7874285448717846, 0.808...   0.760231   \n",
       "3       6.0  [0.6938423609954378, 0.7208368399837662, 0.759...   0.693842   \n",
       "4       7.0  [0.6332511891367892, 0.6827491103735038, 0.700...   0.663251   \n",
       "\n",
       "  trial  \n",
       "0   0.0  \n",
       "1   1.0  \n",
       "2   2.0  \n",
       "3   3.0  \n",
       "4   4.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1df64080>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='trial', y=['SPE0', 'SPE1', 'SPE2', 'SPE3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1df64358>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tC2Eu0Bh5hvy9AoyXvQzltcasr6b9Wk1rgx/5izvx+k88PP7g2PcFAOAKsVXTPpV27yiN/NvRPjEahnP+C4MSf3L7o/h4vQpsIP/6Z9sSNONoppTR/Xzq4eP43jd+Bm/5zOOtrsdt0zj/srKyzBnn/Ne4+TpDpUD40FOzZ5jcFSJCOl+j5kf9/5//F8/B//fvXoLr5mzC07Fz8RdLnTel9Zc6f3sv0UMZ578+p/D/fugB/Nw7V79HKtVpKbIMW+t6TFREjxLkZMAPgHNic1OdYKl9IWyUvlryqa589zo51gthdsV48Z3/Wz//BO746vE1B5vlyso5/1Ugf1fbJ+D8E4DIoBEnG0X76IQzpmetxXcleGsbl6wiK5ZWzr8GKHTslw6uXiG3aZy/rnX+rrjbGoO+jvbJ7a0PmYNcSCh+OK8vUYLkLHl7AeDpu2bwkpu249qtfQCIUj+GqY6GCY9eCZ0/v0bj2Ppk63X+Dz55fk2dynH+uUKeZUGbUstkwA+s6+f6Fxz5p6qxAjWVEgQBR1MKl9LsblYXt13DSuN1H3oQAPCKp+9Y0zn4o1wz8ifOv/K0T6kNDp5axPvvDTcR8mCj2YZYsJm3gfsFoiYbKh+xAmgt9WSThqoTXdoAH6pmOrMOJmTTOH/i/N3NrlHu6fno2vmzF38uUUecd4hGpx2j9qEkMnL+sRcbqA3GIv84Yom1d2Wd20dW2qxJWcV1/vVjbsZIIoOMnNi1Wy+885fL9VGfc9rvcjOtcdGR//Kwcg5xPaUV3O9MXdUtstaTLH1Hqn3edddBvObt94QoP6rsCSd1rXneAR+T/h6H8jsCiDnkvwbnTyXr2/R9Soyc6a6dCdk0zr/SFvnPtCjHYIxJBkHoo07tlPmLTdX3546Ln9OYcFXAjTpDXk/ntGKJOdMy0dFibeDI36Ron6od8q+0wX9975eTRaUqbda0wioZ7ZPV9y+pkxiVQo7k+rk+js+vXFCtv6zGSBaX/13eyH+1Ad+zi0N842s/iX/6arqY4chrsm61nnLK/nev9OqskfahCbCsDFYqnQzaRyd1UbIdiMcBAM8USK5ergDWsksgXV46//sOncE/3BeuZKhAIq0W1gKGN43zt4XdMmzppZ0o2f1HzuF73/gZ3BOhLHwCUo38Wec9uxh3/oZ1HLlEHKf2yetJZkvPzuqxQFDQuRIdfxgJ+KaQP3Xwcc5///F5vPVzB/B//nV884nKGCwNq1UjS7e6ypSPrQinGguikiO5bq6PQamDHcA22uSgdZ+b5ucc5S0OSjx+4sIqkVZjupZ6rmaivPPxUzh8Zgn//MiJNV2T97u1KsqqwPn7/Ry6df7Nas4xqJjz18ZRpLHEsZhTj60KgjFZNX9PBXpXXd6BnY+uKfcD+OvPPoHf/sdwgxuqTrDalQa3TeP8K22QZ2gV8CUEH9sOjl4SOSX+YlPOhjuKNO0jnb/9P83Msy5W0WwT76TDhMN2nL8Zr/ah841T+xD1lZJVUgdf7ZKSJqo8Vw75y0kyRqXQvV9XU2THz1+4DOUUleOX/c1yA5U2+M9/+0W88vduv2x2UqPuu5okobueOAUA+OpT59d0TZ6PslbkH6jmtH/ebTl/TtEMSl+gjRdmC5x/ZJz699pc2fF+EYKzEPnLlf9qnXHFzkffPSb6faWbSYel1kF13yub9jEW+bejfezP2HKYEBIhf96Rx3H+VurJaB/dgvapkX+eKUx38+iKhX83legV1POPLGGD9pLzH4PKqjGqICdbWyUCd6urLHP339j2Mkqv2N+vnUvHRzbKxm2/ybuO55OBz+0/CSDcoOZSGvXH1VA/dz1uE+gefmpte83yLrpm5D+C828zsXInzmmfiu2LwXcHi6l4vMO2/w/LSvtrDbVGtwgFIkkBQ32KtrEyTh855y8Ugcky6JoDtCs44Eucf5sSzPQQY3QFfdQh5M8Si1KcP3fwvF/ymTeVQEKcP1CXpoi0O0D+iUFcRTpJSurZVu0zTiVC52m717E/b438M+Xun+STMqAWOBLG+QMXVusf4/b55zIgST93THdt2y6Trfq41r2NLQ8rfPnQWfQ7GQ6fWVoTXUB9vltkG8L5c/q0m7dD/iEtwzJ8WQY5V85p0/xeU3kWB2FlZdBzNHH4Hbr9tQZ8+Sqe2nNyYRDE/mI5CpU2wXO7ZLSPUuo7lFIPKaUeUUr9YuTvP6qUOq6U+lL97z+u9hplpWv1iMJUJ76V42cfPYnbHjrmXkTc+du/EeXBO++5pQTtw9Cq5Cq93jf8DrWB1D6ApX7Gcf6t1D6JCefo2WX8/RcPMec/Gg3way1GAkar1SzL7xW5cvdPnVUeE6p9JO1zAZ1/gjqLBaI5Otsx273gbVuNUTNHbQTEbd/hsxhUGv/q1j0AgIfXQP3Qs5vu5mtWlPFJvyH1bIH8+XtbCZC/aThofnxU00+rp2BVgOA4Qv4u+C9AgqQ1V0rdSgnFKapKG+ya7aLSBifmRRl08UhoQliPAm3dzl8plQN4A4BXA3gegB9QSj0vcug7jDEvrv/92WqvYzl/60hm+0WUiviBP/0cfuwvv8Ccf/PB+Azf9mofjhokIoyhBn4djvy3JIrScZSR1Pmz6n+x4BUAvOeew/i5d97rKpSOQ/78uo+faCp+Vqtc8OetnT9D/rFgubyHYaWhlE3y6hbZBUXXqbhJzEnwhJ6dMzZZ77Jx/jrd12N2pC5n8e3Pvw7A2qgfer/TnXxDkL8x/pydXLWjfdgxNuDLnSglTHLk31xpynEkVyNkw8rTPuTQiVKSNCY/RxsenvwPMRA3bJ8GADzJdvaSfoe3ebUF4bhtBPJ/OYBHjDH7jTEDAG8H8N0bcN7AaDMXALhmS29knRx6wTE0xKt6AuHDO5NQ+3CUyH2F1h7xj1P7AHbSii3PgkSnhMPmGYy8yig36uxUSmFQjlaB8Ht/IhL0pWd1fmV1tA+XeuYM+ct6LvYewkFWZApKKeye7eF4Iht6Iyym6gk/byJ/rQ12zlxuyD+9yo0ZOcZbds2gV2Stg74x0DHVzTGs1lZdsqn2IeSfR2mf+ZUyCIRKiTCX4w518x06ABdx8LEAsXz/jvMXTj8W8O3WvqUNXepyFSo7ZvdumwKAYEcybdB4JvQ9/t5XK43eCOd/A4CD7P+H6s+k/Wul1H1KqXcrpW5c7UU48t+zbQpHRtSqpwdFnWBxUOLgqUV3HgDoFCHtM93NkwWVOL+Xon1SyUIB7dMC+admck49mEhH5u3kiH8U+ue0z2MnF/DIsXn8wrvvbSxhV0/7eM4/YwHf2OAKA3fGqYO2z3QuaFA1pfYZVe+l0ga9ju03m9f525/dPMOebVN4quV9/Py77nWlPuia03WC0VrQvyyz4CXYKhrL+v2PPoQf/vM7g++QBTp/7Xfs4quhmDBD9oFYgTfAgsiepH1E/+Xc/44aIMTUhtJczKYep3u3W+fPCw7KygK8zTxmmapQkLKNcP4q8pn0YB8AcLMx5lYAHwfwV9ETKfXjSqm7lFJ3HT8eJqCU2iP/G7ZNjdzw2LgHYx/oX376cXzvGz8DIEb72P9fu7WfdP68c8iCVKnAIXWKgPbpd6JST0l9xCwexIp3CM71j3T+7FwHTy3iM4+ewDvvOuSegw/4Np3/8fMr+Mm33j0ygN3JecBXBtSaz21Yx3UAYKZbjNxgZ72WUvvQI41J/ThCvVwCvtR87ugeP7GALzx+KlG3yMtwe0UWbFE4yg6dXsSh03bM0ZiZ6uQA1qb44d3cGP+Mewmp5+mFQeAQm2ofep+6AV6A+KQuHXkb5D+Qap/GJOCdf4pJ4FYK579ztotukQUbP/FS8u579QMMY5arW6FvhPM/BIAj+b0AgnQ0Y8xJYwyNlj8F8NLYiYwxbzbGvMwY87Ldu3e7z0klQnVirp/r4/xyOSIj1/6kl3tmcYCzS4P6XPZvFPClh3jNll4SzfEXzBGLZiuBFApnwB+zvTDg++TZJXzz79yGx1jSUDrgG+ExEzwgH4yjgr78WivD5qAZJfW89+AZfGjf0Sht4DdzUchYeYeY7jrIFi2Z8+9dWOefipvEHEcox7OfXc7I/1fetw/f/6bP4nve+OnG8Y6OVApT3by18+d0I11zqls7/2r170mCKF7SORbwrYzl0E2k3wRqH+0DvvyZyD7N62nF+gJvX8moHBlMlquGShvsrEUBZ1aD/Ou2FlmG6+f64UQXRf7+3slWq8rbCOf/BQDPUkrdopTqAvi3AN7PD1BKXc/++10AwnS1MeZrxdj/76l5sSfPxDlAGfCtdFgVE/Cc/4Ah/5MLgyha4qiB/zmgfRLLMk77bKk5f+rAT5xcxIFTi3j4mA+6pXT+DvmLZd5PvvVuV57B1fThtM8IVBYgHYZqpQxzPsL5S84zdt5OngUB32jddMH5k/Of7uarSlk/dm4Z773ncPLvJ+ZXGvI5IF2NNa4U8b9fLs7f9Qt2bzRZf/nw2ebxrl8C/cI7/+Vhhde8/R4cORNfUQc1peqf07XzX0t9H8nH8/IOQGQ81eDBF3ALE8242ic2gbsVnet3/tyxVWiT9snd7/zvclLRBp72aUFbeuTvAdP1c30cZcyGMfa8JpiQmmAwpVZM2bqdvzGmBPDTAD4C69TfaYy5Xyn1G0qp76oP+1ml1P1KqXsB/CyAH13NNXzClG0uOX/eUTn9INFQpXW9BaN3QKTzp5d57dYeKm2iszX1AyMUKzwtXfpAOk7q/I3x+wXTMRx9DRLIP4Zm7n7iND607yh+/l01F+s4/5a0j3CGqSJVMeSfQs72M6bzX6XUk57XTLfA4ioSV97xhYN4zTu+FFVYLA5KfMvv3Ia/Z5NDTNVj7ytsHxCm4NNgvRC0jzEGr/2Q3yik3XfqNkaoQ2Oak1vFEGa/k2G5BgcHTi3ivV86gi88fgpHzixh//FQBcR5Z3pmDvmvwfkHwgk2joheqYzdkP1H//JO7Dt81jk7SmaS+SG8ts8wMkGMSi4cVd6BcntcwFdQRG78s/Gwfbo97UNjhSY16/ynGsjfPif/Pbq1oELBJaB9YIz5oDHm2caYZxhjfqv+7FeNMe+vf/8lY8zzjTEvMsa8yhjz4GrOz6WDgOX8AQQbMo90/uzluvIOWaj2uXaEtpzP8nK5Oi5TVOr8eVtjzn9cYTfO8c3Ug++BJ+tdheo/hQHftAPldYT4AGxD+8iVVHDeyr8vp/M3YQGymER2UPmg/nRvdcif4hRLERrjybPLWBhUwR7KfoKzz//0wiD8XLxn+kntPbM4DJ7t/EqJt3z6sXUVozu/UuJNdzyKb/+jf2r9HR/4Y0iY/S6bQ69A0j58JfYNr/0kvvX37wi/F0HUxPmvCfkH9KmXZzrnrw1OzK/g9oeO456DZ1zfpMldcv4cvTv1TtV8h7EV56i6PzzzGGD1/Bl9xI+vjBUFzPaKVrQPjZVB3ZfyTOG6uT6eOrfc2DMgpKK0u3eyS0H7XHCrGIcMALu39FBkKtDCckWK4/wZ7QPUNbDr59cp7LkGDvlb5x8L+voXKxFLKAPlRv/NhdoH8M6UzrsUOP+484gt88h502RCbRi0VPvQgOvViTVygIxS+8Q4e3/e2vlz2kdMnCmdvwz4tnWmJ2vnvRSJE5AsmD9njth+8X/eh5f85sdwcn4lSmfFUvAB4Btfexs+vO9JAMDvfPhB/PoHvoJPPHCsVXtjxim6VW9lyPtFRN/uj/cB336Ru2dSRRymPE+K9lkL8pdVPaWT1cYjeN53JHACqKSzR/vR2j6CyoyquSL9sxSTkr+OWEmwfpMrhbmpTkvkH45Zon2GlcGJBeuL5ATD4xWXOuB7wa1kNAL9vG6uH8g9OS8tOX/uoB3tk4UvcxTy50GdBu2TQv5EVamQ8wd8cTeP/LlDH8P588HJN6JZKX3Al9M+Izh/Opd1/s1B4NU+kWJ0VXPA+PPGaZ9olUWB4Djyr7Rp7VhO1c4/ttKhd8qfMx+0tHL6lfft8wMtggz5+wYsUHhPTSURgm6z/2rK+EDed6TJ18eMHmnotE3j72Q84Nvv5u6ZOE6c3R/P/QgCvoT8Seq5FucvxpHWtjxxwfoLD65SX1yIOf9KO7qUSz1DgUF9HyNWdrz0yP6xAAAgAElEQVSYn0ye6wmdv1wtGHb+PFPYNt1xIpNR5nX+9ZhRCl9z3VYAwP+4Y39wjVg8ahgg/4vM+V8Mc46Uoeg9c1MB7cOpCf/iIrQPOf9cSj1t5mZs8HIqQEoAU8jf0z7+s9m6rDOhF3rxy62Qf31PZRzhPfDkOR/wban2oTZ2izyK7OjeYrTPqICvQ/6Zr+qZCvjyxyaRP9C+WiE5/+XIZBdD/vy9PeOaGQDAB798FMfP2/PwomAS+b/ghq1493/6enzfS/fiM4+eRFlpbOnXJbvXUYaaO9FPPthuBRFT+/AJMyUHlgFfnvBEIOURJkTg/YOeh5N6lu1XaP58YZtIys33f+BSzBTy73eyWu1TH8tq+5SRFVCMbpT8ffhZ6PxlwJmf1xirSsyUdf6r4vzrd1bkCi+/ZQd+7Btvxp//82P41MPHG4mksZIowOpr+m8O58+cCdkN26dw+HSK87c/GwkZrBPJ2j7bpqy+Ns75g33ff25MkyJxbSDnH0H+RKNQW7jzH6fzTy3v9x0+ywK+7WgfGhyS9pGbW8SzkuP3DbAYTc6Rv1hWR74/rIxbKRGl0Fbu6WifCOdPVRJXAtonvpqTztAeSyDCfi9XCi+7eQde+ZzdOL9c4r7DZxururUYn6j3RZQ6MXPOX8cdgvTJPPt6qps1OP9KG9y8006GofNvOh96R5/ffwq3/NIHW7eZX4/aWGkTrhSNCbZM9Mi/Cu57qpM3SjoPI8hfqrvi/H5zsqAx0hXScEkf8TbmmcK2qW4rzp/eB61cyF/81KueCQB47MRCg7IKN9PxvrFKAMeUbQrnXwrOH7CZcE+eXXIvOuD8Hfcdvmju4LpiM5csgy0pMAL5x5K8VkP7OM6/gfy5Q4+/QBcYYgObK4OeOLUYp31GOH+3pO1kYUBP3BOXp5KNCviG5R3gjgsCvpHl96CsAp0/0A7NGGNcwDamW6cs1oDzd9cPEZ9XiPnPeHxAGx+U/oZn7IJSwKcfPuHe7Xo2oGkbq+HmVrmJgG8j/4SQv7LIn5wlR7D9OouZO/9gletoH+v8P/2o3RTmV963r1WbgWaGb1lPqrwEeGwDI0n7THcLDFgRtVTA19EyEdARi185mpWQf73K8TWEwkmAtlUErJ+aa438yVeRCksFP4NYnIhD2Pb4mMRq6/xsCufvA4jekd64YxraeK0/odM8U77GuajAZ2dnBOfiE8uuRKIXd4qSuvA1asLvxMo7SORPiLKd2ifkZuWxnJMNdf4taJ86scY7fT+QMmV/SjolldnMv58psGV8kzKjz8mGTO2zmo2pzy2V0YmU7FhN+yzHaB/tlSbUBn5/QLiCJIQKWD33M3bP4suHz7qA4FpK65INEpTeKJOrXPpujwVOuVXaUmtKKfRrh7Y8rIKVHD3LR46Hzl8GUgn50xi658CZ1rWCYrV98oD2MW5CiwV8qQ39ThbU9ik1T/iKx3jk9WVSKD8/oemuYAocFcPGAX09UwrbpiznP44O8zp/2zfJXwTVcMWEJRPcALt6T+UIpWxzOH+HVpjzr6vfHTxtE5yIa53q5Cw46jsPEDpIuYF7phR2z3bjAV/mKEKushlI4m3mKxUAjY1oqNMtM6Se2sYxNqtzB8F3AuKc/xcPnMab7ng0ek5CVr1OHkxsjuYyxjkIGYhO0V3Ulk5uHUwe6cQAl0+G95M5nT/RPuOd6ckF/86itE8E+bv3pg0q0QYgzhcTN8374VQnD579+mgfj+LaBlGdwkvkIpDzl/s8V9qvRvtdcv46Ghd79BijHIwJVsCA5/xPstVy232B5TiqtLHqMC4NZpONRP7Uln4nxwrL8NWGr97S6D74G7tH+Rn1e6n2kbt/VYYjf2DbdAfDyoylLZ1k0+Vf1KIW1UT+joqKIP9Onq16L+fN4fwJ+bPo6Y07rNb/QF2wLcb58zKvdB6aibtuMxdCqXZz+Jjz4MuucAP3UTr/kPIB7AvqdzJXsIw6EJcnjtP5c5OFq2K0z9u/cBCv+/CD8UxcpmSw3/fXouCVUzmUcecvkSVgnzcNYreNowmdP69Syr9HK7LpbnvkT8FeIE77eOTfRIIWdXIqjQJ57H5YW7UOJ/U8U8L5rx/5b+kVrUs0O6BThk6EaIpYwJeGUb9+txb528/4vSwNKweuOPKXSV4nFgaY6eaY7RWu/s844/3RsEmVOz3/LtimJYOQ9iHOn9OhNImWYnzwtnMsE6OJ5LiWah9eyI3O70QeynL+wPgSD47zJz/EFI3UjobaJ6BK7eq8k1+htE+M879+bgpFply1znmmnZdqHx4wkRMJl5HmmYrTGAylyqBlWudvAqUP2fP3zOHuJ07X37efhZx/3PnHZvWBoH18Ybcw4GcMsBhxiiXr2BVzgnywEfKXHWsk8q+Mk9I6DjeJ/MPvO+TfWw3yTzv/+ZXSVTuM0j4tJiU+6OSKrshUcG/rcf40ac/2i9bInx6fzAMh3r5ZEMy4vj/VZbSPQP6USLnv8Dl3HvnOp5nUc0u/gz3b+snyENIkBVhpHSQFah2+Cxp3DvmT82f3QEa/x6SeMYlxLIlK+hCZ5NVE/v47xPkDtq7YKEtx/pz+GhWvGNQKuSJXrTf0IdsUzj+m9skzhT3bpnCwRhrzLPPPBUaEFr1kFf86YibPlEXqMWfGgzqx5SpvI2+zRP4A8C3P3o0vHz5rE4oinH8K8cX4vNRWb7FgYUwyWVbayet4wIoPtn4iizNWD8W3RSPP0wjGHoPo931tHwr4jkf+p0c4f0L9mQr/xt9buPoI40T2sxDdceefZSpILFoP50/vbbZXrILzJycV/qRaNPL1aGNcscF+fczSsArefakNnnv9FhSZwv11vgEHOt755+68W/oFbtgWyq/JvucNn8affWp/8Fk4udYr5UwJgYB/Fz7DN3TsRD3xFaJD/hH1TjTgy+glMrkaaDr/8Dwy4Lttyjr/s2OCvtL5k8+IqeRilNWw9DscXpnIXyR5kd24Y8ohf1LQGMZNyheljZ9FqaQz7R6lVD17jkD+HF3TtfiqwAg0kWVx528M8M+PnHDtCgK+Y5K8uA3FMpUGSAw1RrX6Nc2SZyr4PnfUvo55eP3UigewcYsYghmHtgCwgG+N/Fs40xD5h/f+VC3z3LNtSnD+HrEFSIoFGd2xDC3KSb2oV4s+J2LtnP+AOf+2ap9K9HU6ByH/Rm0fbVy8a4px/tyxa20w1S3wrGu34P4j59zncsKnyQOwqxW7z0bT+T96fD6oXAuEk5KpV51F7gO+nPap2IYx86K8A5VMGZWICERon4j4IAQn4YRAk6ms6slROZd3O+Q/jvYh51+FPo5cBx+Lyax4pdDJrlDOX7MZldtNO6Zx6DTRPj5rtkH7uIfmH6Av6WyC2XZU0lJD7SP+H6wKdBgYJHvhDXPYMdPFHQ8ddy++XXmH5ufUYZSi0hWE/O35CK0AcUQ6rCmATClUmg2Qqkn7SCRasWcqrWLUQirgyykmbi4YWeRQqh3yP7UwwHQ3RydXjZgN0UbXbOmFnH+A2PzxsdIAHvnb72ViBVoyx7geqedqkT/FZQD/frz6I478ecCaJoilYRX0cSu7BJ6/ZyvuP3LWlROQVF2RK6eC2dLv4IbtUzi9OGxQdZU2jX4dK++QqzApkK/cU7TP1n4aYYfIH8H3Yo4+RvWVgvYZVd6BI3+aGMfto+3FKaGPI7GEjqy4Audf98crF/mzRAZue7dP48T8AIuDktW34fK3cOnGHRBl+A61V5jkqvkAJQIMHLxB4Dhk7Ro5WQGWJrh17xwePjbfULx0iyxJ+8QSOHgCShjwtZ/PsGV5lPap0VaehcjcTmr2mB5b7n5431G3vZxEI9yG2mfqugCekQMu/EnmkE+mMN3JWyH/UwsD7JztBhmr/h7tNWUwP1S3+PbywHZs0Gljgn5InD+vq9S2Rr40h/z7RavdsXhflHkgKamnDVijPoZz/vYzGiN5luH5e7bixPwAx86vBMjfl1hXzikS7QMgSL4E7PhrjKvA+fv8CQ4Wgto+OnT+9E621sg/tmuWLFke/Iz9LdI/+T4DQKiqkj/p+3nNIgBpGte3MXzPgZhAqbqqgP1/qrxDnil0cnWFSj1ZZ+O2tebVFlaqIMlL7o7DH5ov6eydGgVm8yxrIH/p0BudNoIg7O+IIn/AdiSOFsmmOnk64BuZ1YeMjwyQf41wiQ8F0pU5aZ9dvorhE0HfpfBr/Oe/vRtvu/NAcK+plRJ1fnq2jYBv4vv8HU/3ilbI/9zSEHNTnbpWTXg8XXO2Z4OojUFb010eDKSdAqHiUcgfaFfKN2bkuGd7RXQv50qbMGjN+mKT9omrfeidA/GAb1mv+orM15h5+Kn5WukWlkXPM+UmmS29Ilpt115ToxKOSTrfsgp1/pVme/EyVC2LGFJZjajzD5K8wnc5nvYJEX6vBfJ3Ov9M+T3Cxzn/Kt3/MwnKIoCLaJ+UWGWUbQrnz5EGN0Jg2phghyyZ3h3QNvXz6URpn4iqJegkzZVAbKlIf8sTT5ci89Lx9TvpRI045+9RnpR65plP4gHitA8P+PIgL+cZHTUwsOiQchJGqn20R8c84But6png/AG7cuEUwqHTi3Fut0aqvD49/xvgcyyo/RxNVVoHYMC1USBdQqCc86dBx9/lmRYFvWJGk/ZsL478f+Jv7sbX/MqHG+3j7R4K5C8XZoHUkyV5cadIExzFXQZVmATGES5H/nsizp9WyzJ/hbeL9sng5UC08Ule/Jqkm6d3QomTMXAUK+/gtfJNIBJN/JK0jzhPIBxwtA+nO0ejcdluifxL3aR9ZOXVLFMo8qy1SIBsUzh/zqVxo0HI63kA/oX5wm71ebRpnGtYGaatbW4hx99dnPZJIH8TV/vw68gX3+/k6fIOkU5EKK+TZ4HDXim1G5j0yOJqHxbwZQOM/953aooyuGYMQfnzaocuOZKL8uji+3y1NN0tAhXHN73uNrz4v320cT1tLEc91Ykhf+9QAR8QlvcqkV1wjwKBhlLP5iruzOIQ/3DfEbzuw6vatgKDqkJRT9rDyjSCtR9/4CkAvkop/zM5BC/1zIN74PdE/XKqwwK+zilalM6LrJUVU9Cxe8048u93cO3WPvJMBUFfN8lXzXaQ2SJuVN7B/11mVgPNwm60+o9ZmKhH56Vrpld4/DOJ/AdlCCxjkuGsDsAC42kf+X6kkoz7LHrf4YrPPrfiSkX+leP8w+Z6TbBdcpHfcMldkfKrNhDLnb/n/Iua/giuvQraJ5goTFztQ9fhMzpZv8ijWl3S+srT8RroXIm0UvOAvU7uinSlNlovMuUkroHW24SdnhCXrJQaVUdp7yCTOn8xePizIZvp5Y1JSxvg04+ciF6v38kbAV/qA+T86e9c7aMNpwHTDqCq+5lM8pL3dmZxgJ/+u3vwJ7c/GqXFUjYoNbpF5jcLF31he60goTwR3hfp2BWh9olVm6X284BvIIqoj3ElULQJHA8XYHDkn2cK127p4ehZn/HL99blluL8ecCXJ1TR86V9fD3tU0SfJd2ru4acyCOrgtjxY6WenFJmz4WkzuMcslzpSzk79zGxSYrGukX+V6DzH0f7lDVKcFSOSHgJBi8Flhyq8cE+mmll0SmyRmE3Hacy6G+xgC+1u6x0Y0D0OvEsPe7kubkElFwUZqud+quesxvf+5Ib0M0znF8uceDkYiADtQHfDFndyYLApkT+gzjyT9E+xKHz1dm4AQcIzr9bONqHr+z+4GNfDb5TaatgiQV86f2QJLCxc1Xdd+Tgpr/xc9CxkvaR98b5Z8p4PXp2eWzC2go5/8hEBADPvGYWgC3ZAYT9zSN/mrTjap/A+Rec9qG/a+/8GUBy19GsPlam3HVocu2JuJVH76GTa6h9Kh9/sseHaj0ujlgeatcG4vyBJjgK9zUQDnQM5++D23Hax3+nPj+boAiJA+n9OeS1/T2IgK/2bENU7VPHLK9c5F/fFC/sBvDiRxra8LKrNBBCzTZV4VRKOd5zqE2A/O1x/homglD8/z2lxNsJ2M9TAV/KJ5CrjH6RRzX6dN6uCCLQsRTw5W3JMoXX/G/Pxs9827Mw2y9w8NQivvl3b8Nv/eNX3DF2wPklI09Zl7QP7afboH1izp8VaHOrMxOPj0iwwldLM73cBXzJod64Ywp3P3E62GOWJvR+N8fSGM6fSmlwvbfWaMX5Uy6EDPhW4l0OKoNds3Z/iIeP2UJn3/OGT+OPPv5w41lxG5S2IBtNnLIv0CUI+fO6PY7zLyXnHz5gio8A9j66RWaRP7tXWhFS/10RCih6d1nA+XeC50Emn6E7j+G/276RZWFNG75qqLRPTptfKd1kwpE/j3HZc8RoH+q37LgIouYBcIDp/BO0J6ddMzZxjg34Nla+foznApRF1T41xVpk6srm/KUzpQdMpZs7Ql7VzPD1ATs6l6V97PnIYQXVAIVDl9SOjnQYAI5eiplzGKxj5JlCp4hrdT36CDs3L+rE5XBAkz75ypM2WeeLB86w81rOn5B/LB+C6r8sOATe7PSx9spOzJfFdG1gDO3TLZzUk5z/D73iacgU8N4vHQnOZbXVWaOKKb2/LbXzJ901X/4Hq8YI7cPLg9iJJmxvqTWqyvj9ZyuNp++ydNvDx+Yxv1Li6Lllly2bMk/7xHMrKFj95UNnLVoXqg8gVtsnvIZsv31mnvMn526Rf3xC5OVWaJIhySU9D7JY3Rw6D28T9RkOFjh4q7QvMjioPPKf6RY+Y1k4/5hyK9ZvJa3SyRWbtELk7xLPGisARvuwgoajtPe8dAMZZ7YlsEgif2UB5RWK/O0Dlzp/cuAD5gQB/8IGEvnX6JbriY0Jt4e012t2Gvq+5CpjaIHOkaZ9sgbyt0vFLMr50zV6DdqnXhEQ8mdtCTaO73Xclny7Zrvs+3bA0fKS85jumoT8a8Qsi2aNk3rSvZFMUt7TqIDv7i12f4Vzy0Mnn3zWtVvwjc/chffec9ihWqLY+pGAL7XTI38avHDXr3RzcPM2luK58InNUoX2bzwbmmSUX33qPI7We00/eizMcpW2Ump08zTyXx7agT6oNB548lwj8Gd/jtb584AvYOWeS4MqAEg0mdJtBvsDsH6bKf/ciFYj5RhZrFYSIFfUFljxcRly/iaIy8hSCrTr25RE/qOknhGKh47v5F74QW3oZMolUwIRYMDGTF5XtO2MqbcTmxiCvlUnXxpxrUq8d5qor+gkrxTnz1Uv/PiGFrd23kqFTkbSPlKJQCbRK9FI/O/udxPP8KXrlJUOjqdEjVjQRu4j6j9nUk9BSfGJckuvcAhw95Ze0N5OTO3D2kbXpMBrY2vMCPLndfkBr1dOlUzgxlHptz33Ggwrg08+cMxtTr1tqoN/8bxrceDUIo5QwpmxDm0qEvCl+yDZ4rIM+Gor9aQqrwHyj6A7ii+QWcrMPi+iBvhE/MixebfX9NFzyyNr/6yUGr0iTwZ8V8oKL79lBwDgvkNnozr/lTE6fwlK+p0cyyWjfSrjABE5Irk5DE22SoUZvgAaJVJc/G2Ezt+Vd8hCnT+vs1RptrJifSnPFKbrd9vriPERWcGPCu565J81jivyLJjYjAnBoET+1LZRaDwm624ifz8WUyKLrI4xXNFJXpLz54odIL400zrkDr2qwJ+HHjjveO7aIqDLn7vWUvfP/5ZG/nneDBIWmarLso7g/BPIvyMCvoDQy/c8Ito5650/T6zRhg0M9ntfIP9mwLd5f3ZSYbRPjWDiJROk8/ffe8mN23Ht1h4+tO9Jp52fm+rg+jmrJz9RSx6Jhx+l899S758s1T503/GAr78ffz4dTFA84MvlovQerfP30sfHjnv0/3+/40u4g9W/XymrIOAbQ/4375zB7i093HvwTNDfZJwrpfOXzn+qk7scDiCsKy/HF12HZJmAXxkS957i/KUT5P8lKinLJPJnUk9jfExP+1Vkrjzy7xeS8w9XF3ReoDmu6fhM1bSPCZ8nF4nw74WZ4nDHAkAnG63AGYf8bfJlLF4hx0xd3uGKVvuIh0/Uhkf+XsFDNtSMzzS+MJdMpgD85BJDBfS7VPfEOhH9Pkrt03DWeVquJXlHd2+VLUrnzsdpJE77MEUEf4bDmuvOs3A5z+9TIn/JeUZ1/sLByMAV/16zvIP/PcsUXv2C63H7Q8fxZI3yt013satevdAmLhTHiWf42gtI5M/brw3b1jMy8fNBalc1vpH8XXLahwbi4qDCnY+dcsfvP2ED1WWl8Z57DuNjXznq/ialnpLzXxlW6HdyvGjvHO49dCYq9ZQB33HIv9fJsVx6dLnCdpTKxfjyz8ufg54bqX2k6iTF+TeEE9rLjm07wyJqfILmsbYsg0P+fYH8Y9RkVOfPJnkHhsSk1ckVhNK8Bpf+flzAl5D/mJILsZItecBIhL6MHlksMay4Uuv5c/0sN6I2+A5IQHOwhkEZ27E5J+62Tosg/2Z5B399nure/F5a7ZNHEoNsZb54xN4h/7zp/KmOCF8K22twzt8rIiRNldfPgpd3CDN8Q+TfLJYXcf515jBvi6TM5FKWPwdu3/TMXVgptXOgW/sFds7YuMWJ+YE7BxXTWinDzGl6xj7Jq0n7hAFfThWEMSP/zHz7Mub8O3lWD1j7bnfU7fzEg8ewfbqDTAGP1vviLtd9lmolAdaBW7VPAvmXGr1Ohlv3bsP+EwuBpFQGfPuJgK8EJVOdLCjvwOvKO+cvqDA+gfQ6dqVC15MFxmJbKtp2hWOM2kUOttIm6GtEUbo21N8vssyV/57qhsjf7bNrmuM5muGrfX0hGe+hAojBs9Qh8pd+ahwPH/tbnofjJqY+k8jf0T5XotqHbwjOLRXwldm+AS9XL+1Gcf6xwCT/Ppk2IiAsgsMp5E/lpPngpqSa2NItpfPntE0D+Svu/P2gCJUCJgz4BkvY0PlLnX8qkEefFblcvoqAb30tKUXMxTu+aafdrnPf4bPY0itQ5Bl2zpLz98g/y1RQh4i3RamwfDFvNyUIxtC2S/GXSCtS0plKIviMX43n79mKbp7h7NIQN+2cwU07pvFoXdqYJKcUDwBseYdeIsnLGFNLQXPcuncOxgD3HWLKrYbOP438ed+nIDk9D7ejFNOqNwK+2ivZvvam7Xjlc3b7Z9NA/jr6DLmfcuUdBO0jqSwa37x/ZpkvYChpH6n2A5q5G7xtxApwbp+uzVcl/Ht+Ben7FHX9cQFfR2dHWAh7npAJSHH+zndcicifR9G5FUIVEZPrSeRPwcHgITc2UEg4dNNEr/zdyoki4fvdffBBVbilW7OzyCxDMreLj0Pu7BpC7SPPZduog4BvrH4LLaWdzr8F8h/qEPnTMprO380zt+SlQe/bHZ5r7/aa358fuFT+6W6B6W6Okxz5K4tiAVEiuz4/TQxLjvaB+26pdTSxKkVthTp/X1SvyPyOSmVlpYnPvX4LAGDPXB9P2zmDAydtCXJagTx51scDBpWlfWLIn2fu7q33r6a9Cmy7dfAdJ/VsON3weVNiHB22EkX+YTVUPrl/30v34s0//LLG85DPsMn5hyDKcf6Rev5D0f95/8yVwnS9qpNST2oHf30jNf00gTPOn8axZAsAuUqM0D7ZaIdMY50LOXIxFkYlHfLvFFc655+UehLtE+FthyyTlsozZFnI3zX2zQw6rz/O6rz9/4n2oXlEUkSj1D5AWOs7r2ujj+L8pdoHsJ0/q198EEBmE+UsS4QJEI+opMgREF9WZ2pEhm+E86+qJufPJ8puvW0kfT9jAXg5wKa7hUuY2jbtJ7Fdsz23cTg5Dl6ozLWlXoF1cpsI06R97DuNBnwTSEuWdKbv8brqRFPcuncbALvtaL/ji2/RJHR6cehWAYTs5X6x/J76Rd7IvC0y5ZQtg8pO6LGERf48yPqdLCjv4DYVYZupD0sBeMb07Rjt1uD85Yq6njy5zl/W6HLIn9GSVupJnH8L2kdMRjxGQW3IA+TvJzoJ5iRQ4G2i9o5yyI7OTTl/JWgfE3+Wlvpt1iUbZ5vC+fOMQm4+IGUHRizgW1YhotU63Cjanic8X4rK4by4/Zv9zOuPWZtH0D5EbXB6glLCR3L+YlkLwKElKTtN0T58ZeEDvqEzoaxX21brOCXnn1Lr0N86bPLJFO0U5pUTPPeCB+DlBA/YrF7AKn3Ids52HedPgzbm/IM9a5kUVC7ro0lert+E70Rm+AL2XZJii2igPMtw6945AMD1c/2AA15ipaoJ/a+UVa3zTyP/XidjiNyDAnLQw9K+0xggoXvi/bKoV2GS9uGr48Ze0TpdsbY95+9/pw3c85qCpOuUok1dN85qEKfspiee8/eN6neyKDUpk704EPH5DYpl+PpVrBzPMhAuk1Hts0jTPrIUh/2u/3uWqUa8hd8DGSH/caUkpG0K55/azKUQgyA2gAeVDrlsgwDtAuHLouPIpPJH0j6aSdDaqn3IMa40OP84UnCcf2TEEdUwOuDrnWZAU1XhBhqBusIFr+xzlVU9RwZ8dUTtU5+T6AQ/COEGMdAM+ALAjTXNwZH/zpme4/zJoUlqh9rpg5O55/zZ4AYS8aIEZSFr+wC+kioN+LKmvr7u5h3IM4VnX7cl4MN5GynoO0rtw5G/VOH0OrnX09fUES+Qxq1ZlVQ52orugz7PMpvYJDl/LvWURnkP/hmGK0XeDjLiyznVVGnjruvHt1+h8kmMlFyc8+93cg9QOO2jw58dRkESYOMUCtGGQBN8xiZFgAd8R1MxEvlT7gRZrlS4uRBT43GjWJMxcTCWsk3h/CttJY2SEpC0TycyaEqtAzmWC/hmTecfq8cxSu1D5+skJKJptU+M868llzEaJbI8dG3PEgFfdn/P27MVz9g945JGyIbaJ3nx9vAVTp7ZjFNyCo2Ab6S9vKQztaUynlPlTrDSIdcbq4QaQ/67t3Td3r26piEoPsG1/iWLP0x1M+dEKdBMA9/tBI4AACAASURBVNg53BGbfvP7IeNB0Tyziq2yMvVWlgo375rBZ3/pW/HNz9oVIEHu/I8w55+q7cORv6R9ekUWOMpO7p2/fD2yX5IMl963Q/7MgUWRfx7v25lA/lI1QyZrZlGBxYD2kci/8MifB65jap9+kUdXp1LnT+XQqY0U8PWUn2a0TzvkH9A+q+D8JVjMMqn2oe9JMIKgAmtb2xTOn8++3GTA13P+zMGVJuDKOBJs/mwqJEYhf1PTPtQ55EQxSucPCM4/U6A6/41iXIkMX8DTRZVp1goiu2XXDD7x86/EdVv7AfInJ02Ol9dS4bkVXLkja/skyzsEk6vP8JWcKr2PUbTPTTss8p+b8qUpds70cGph4BxBnimX3s+rZ3KE2C9yX9iNcboAXIav5Lf5T7I8uDdPPeaZcgl8Q+1LXFyzpe/2ZKV3tMxpnzNE+6RLOseQP7W1x7b/HJR2JUpNlMhfjiUXo6DJUDj/TKloeYfRyJ/RPtqPPW5hwNX+syty+ntzgxqiPYnzd8g/wvlb2qfJ+Uu5ZDcXFGQupJ5Vc2MiMinDXG3At4H8Ja0tOH+erxQcl7FCcqugfjaF85fyNDJXdbAKnX+D9mGOhp+L3iX9JB8XaIAdQgi18AAhZH/dcKIYrfMHQtqnyD36lf1lZMC3RktVFSJ/KYulY8MluQnQFufzuZSO002DSjtpnn0GzfsbCmTIA75+yzn7Ny+vQ329NO0jOf9KG5xZGrp3+sxrZqEU8MUnQgkkDQy7RzLREOE1RpV0jknryBwAqQj5+zpL8h0UzBkslyHyJzolleEbIv+wrb2iSfuoRF+ilRa/Fx6MdwFfjvxFeYdSnEM+m8D5t+D8qVR2kORlfG0fn8nOaB8Grkjtw8dHv5NHOXI5oTc4fxJQsHdPlKAcUtL5S51/29o+1PcatLYo9yL3GCDLWMzsoiN/pdR3KKUeUko9opT6xcjfe0qpd9R//7xS6ubVnF8iSbJGbZ8idGL8b3QeoggANH6SU5aoBKASCmjQPqTqAJrLy8T48Jw/oyfsC/Tt5JbS+ds2M+TPvhcbnNz5ALYTdXIF8tOOzxcdWZbV4PLZdsjfB3xJacVRDJfRxRDlLbtnkCngujlfmoLKVJycX3GocedsDy/auw23PXQsaAtNREWeOSWYRE8uyBrh/EcVn3Oc/1C7FUxZaZuAJ94BUSyALzC3e0sPR84sef6e1faJcv6d3Bdcq/yEQDt/DUqr9kkhf/luCKnLwmcc7TacXGI88vP54+Ocf6xAIu8HtixLSDX2GO3DBRUzMdqH7StgxJjlP4M6PsZz/jzgy1dB3HgsQhsPKLh0vA3nT/cVo7Vjap8Y8m+7Z3Bw/tZHJkwplQN4A4BXA3gegB9QSj1PHPYfAJw2xjwTwB8CeN1qriEDiGSSq47txsSpFRvYitE9oeOJBXxJwjaa9kHwvbTax6NFsqKmfex5xIB11EQa+ZeibbHByZ0PtbHIm+qRQEqnfMcik0F0bj5hJ+T8ecCXq17sCqmZa8Ht+rkpfOBnvgn/6tY97jOqTnp8fiV41t/6Ndfg3kNnvAyUtaWbq0Y9djKXHR5LqpHSOuE86Zm4oL1D/gLJscmXOP8X7d2G+4+cDXjtmNqH4hhW6imRv89sHzY4f9GXBB1JfUc+Dy5/lpx/aiVujw95bvpdbkvJS55r4+koPgZl1jJP8uJB5+lowNc79RjtQ+0KnD8JIBgtWWpP30lgEmyjqsOSE/T5KBpG7hUg+4t89qNWoh75X1za5+UAHjHG7DfGDAC8HcB3i2O+G8Bf1b+/G8C3KZXoPbWdXx7ikw8+hU8++BQOnFoMeGcyWdvH0z7NQQPwQFH9/Qbybz5Axw3Wy8OG2octC6XaZ9Q2jrZtkvNHff3xyJ8jM5qYAuQfebwSiVAylqd9yKEjRP5Zs9OnAr6xnAxS91SaAtRMb238UpuOjdnz98wFk9D2aev8zywOA2f0qudcA2OA2x46Xt+Ld3Z20mnywEBc7TMqqYaMiw4o/kK7tMk+m2deWULv/luevQsn5gd48Kjdb6Fb2ICuUmFbCMRwqSe9r6ka+c4vly5RzKl9hC+QAV/Xd8Q9+v6VRVfPaWAzQi0XIHC451Np7SqJhvX87RckuKNkSzrWFXbrSOTfBCgyiN8pJPLP6iq09nhOG8rxHBRWjAR8x3H+smZXFPmLZy/vh67jZe4Xl/a5AcBB9v9D9WfRY4wxJYCzAHbKEymlflwpdZdS6q7HTy7i37/lLvz7t9yFTz54DNsiGzWnpJ5D7eWXHPlXotNInrnImwOGJztp0fEpwt+N0T46HRRLcf6x2kL8/4HzZ2gkV8qtauSzCa+rgs5vDIKAL287L6MdKyiXUsK4lRJzfE6NpDXj/D1txNU+KacijVMjtKIAgOfv2Yobtk3hvfccBhCqfTiHKtvdiaglUkqVoLwDEx1QsLCsKYsmkvPnWhrYAPHXP8MOA9qXuFfz9Z08c7EsQCL/EPQ87/qtAIB99QpilM6/GfCtM5QjDgWIq31SAgx7fLgnBV+Fl0JJ5cqcMCk3l3rKnBe/X4cv0AgAz71+C77zhdfha5+2zR3bLzznzx+BpCt7eRb05TwL9fl8YyJ5y3xS4uDLFYrMRid5UV/oJTj/PJOFBsN7cMcpzxrEpNcpS+9+3N5ivUC2oM0xMMa8GcCbAeD5t77E/N1PfaP72w11mj+3htSTIf+ZboFBpRvZnrzTeLonPF9sJ69OQbtd+aCW5flMsBx13xul9olIQ3ktFTkQJUJQjCaJpZ0DiErxOBKhc9JOXuH1woSVGPJPoRCedcqvq43fSIdiAIB/TjRA2zp/vvcCD2JmmcIPvPxG/N5Hv4rHTiwEqwK+DG+iJ6uQCdFpGmnx7wE+WGj3ZNABvciPpXMtDStMdXI8Y/cstk938OlHTwLwjqCXZ4HyiCN/p7+vn/WLb7RO70sHzmBYaUx3i6TOX2sR8BXZ3fIe80w1JY16dMCXnyoQGFQGVGNQO7q0cn2GgwCigriF5R18G7f0O3jjD740GDf9Tvxd87IegB3XfoOfOtEsy1CZyj0XAgZNzt8e0yUxCI2ZjPpbu6qeDvlHklhjK1Hnk2owkzHkv5qtHDcC+R8CcCP7/14AR1LHKKUKAHMATmGETXVzvOjGbe7fLlaHniwV8NXGb+wgi3xx5C85f58S7zsL/UpLO18YjskXyZkHnGZa7ZMKXqci9nR/xGlymqSI0DJ0TOOzLJSwuetK5G+4zj/B+ScokYp9j7fFIf/MJ6XZ79vnRE1IrZZi9wKweuvse//Hy25EkSm87c4DAWfLk25Es4PnT5ZK8uKOTwZP88znRHTEBEyBecA6/34nh1IKL7t5h9uXl1asnSILaupw5E/3S/e+bbqDZ+yewZcOnnG0j1+dhvcpUbuUS5OlnD/FlkZJPWPbOMrfeUykZICB+HJtTEB52GfDVty6GVDnZULCJK8m7UP9u8jCjVtyZcEgV9ZIP0FGk3OnsAlWbrXcMuDrkX/N+cs9ypVK1iWyPoit/hkYamsb4fy/AOBZSqlblFJdAP8WwPvFMe8H8CP1798H4JNGRqLWYI7zF1JPwD/QAPnX0kx6hxR2UGIlEEvx72QZaA/XjCWChOUdwu+NSoEn89l94f6l3MiZTNdqBkrscr8nJpPYZw3nzwK+vO2cv2wUlCvTAV8fSPPnJA61Mn6yCWgfxXTlrZF/GBTlz/qarX28+MZt+NLBMwHnbx2qD2pz48+UPwf6ye9HKpn4OTq531BGViilydcYg+VB5coRfPOzdrljCLR0BfKnfkx/56gwzxRectN26/zHqX1MU+oJNHcNo+cbU/tQLaWYSannKP6fVjBDRzGG5R1kuQKuaKFMfWnU7n4n9/X8Y1JPw8o3s75sky3Dqp6pJK8VQTfTpOeR/+gkL6n2kROqHMM8QY3aSdfzIoCL6PxrDv+nAXwEwAMA3mmMuV8p9RtKqe+qD/tzADuVUo8A+DkADTnoWqyB/APnXyN/GfBldEyuxM/I7MmXh0T1ZIrqf9hOHCvvMCooxtvZZ3xfEbk+v79+16M+TlnFHH1scGYqQvtEEG+Y4dtcWQwrnzXdcP5sIJPRACPKgddOIefsedLVIX+aGOX9TnWt1I8H7Cj7NtZuucEPENI+XRHDIIsi/2FYa0oeW2njaB8A+O6X+BBZN7efdYqQa3c6f9ZfaHLIlKV+Ti4M8NiJBXSLPKnzl7EomeDnPs/oZzPJi2opxUwGOQPOX1AYhF5ju4fRJMNNbuYSawJ9v1fw4L7/u3f0/p3znJMsCycwPvE3Ar4JlWEQ8B2p8w/faWwlw43TPlnG/RaSvmOUbQTnD2PMBwF8UHz2q+z3ZQDfvxHX4iZRC3eq1FGWG1JPzwGnaJ9Y/W8X0ee0jxFqHx06/5Sgib/kfifHueXSceHyPIAf+FNswww6RWyTCX4vwWe5cpOhU+XkEaenwwzfBu1TaqRUM8RN89UCBXxLCvgy5E8VIjPmbNqYDPZL1GQrpIaF62ztpHi7+QRExp1Ct8iwUGflBpRWsMKxCIxQeoPzZ0Fl7vy39ju4cccUDp5acu3q5lno/IeVCwbTuenvSil87U3bAVgHxJF/I1tcNzN8AZsZHD4PP8nEpJ79TrpvG+NjCzKpkIyoI16/xq4E7Gqg0mYE5+9RurQiV+jocG+MYFwyKogcKFeedbM8WA0MtcE0rYLELXvGIU5BdsbU2G8gf9lfRvTHQCGnfC7Oaoq7bUiS16WyRkln5nB6rsJjiDa41I2eLf3MIrMnrwGi6yU7UQS0kqCaQlJVMIoXJaPEFK7VTSF/chac78uyuKOPOdEQ+Xs6S04eYYZv3Pnzjsjt/LItrbCVlZGWAV+ODilZh5qbipM07k8kysn77dS0CXcSnVw59UQsiCuRlktQMuGexIHzFKuAIlNul66GeoNN7kuDKpAm/tkPfx1e9rTteMENc679MsNX1n3nFTi/5rotrvBdN48XdtPsnbo2swzlWFttolHotEfp/CWAiqmn6O/k6KVIIFcqUOmRcUl1KsuYVg+kYjIReTb9dMiftZWPbXucdqqkjDl1IIb8aRKjtoyp7SMCvk2BQHNF7trO/AWnfS4253/JrEn7+IflaB8h9QxonxTyF9wkUG9AYjztk9eKFWP8dSW/mdZCM+TPEjxyMXDIVsoKBXPCfJXAO0HqGmQyczH1fZnhS/dHhdNswJccY3iNc/XWglvEvsE84JtnKkRgyt9PW9qngfyl869LOfAEwU7OyzuEDY/SX0zrHaxkBNXjPq8RGNE+TZ2/f7/LwyrISH3OdVvw7p/8Brf1Y4+VogAs588nC7vLk3bXzTKFV9xiZaMpnX8sB4OOk8FVv1qKAIORtE/ohHi9KX4/TtfPJhfuzGi1y+cYR6/WUuNYTC3PMnSyzDlskjSTcSqPKEgef6J+wBP8ZDyqK5y9Q92RgO8o9Y0M+K6G9uE+oMgY8r/Iap9LZqMDvjXtw5A/ScR4lJz/lJuaAEwVQGWTa2elFJu5o5x/GsUGnD8L4DmFRgT5cwUHP5akadJSE4Lc7s/SPuFxlJAF0JLSHkD74HKpp2zrOUL+Ux75u31u6yBfEGRjn9GxbczTFSnkr9wk5XT+THfdKNmQRQK+Cc4/VtLZnj9E/rJNDlxUIe0Tsyjy74SrD4k0KWfg6NnlqM5fShF5m6TTcHkkEQdEyXox8wXGPG1CJsGRXcE2qbtceXqSZ+165J9eWReZLa7HKbZY0JkcaCCCqFc04Tjx+zs7OscV3vOsANDsi51cjUTilZBwj6V9Anm0L96XZel44Sjb1M4fCAtPhQHf+K5OhiEGT/uEKCfWWYj2oZo9vNwqfe/UwgCPHp9332uj9uEbX6c017Tkp/OF0shQ6dIVHVVeV+rzUxtTh8jfnnOmdv7DyieUyc52btki/60C+VN8pBDLahuAbK6+xplU+8h7IM6fIzfS4MfabSmA8BoBFxwgf9YOUcCO76jUoH1YktKSQPLSujHkX3Dk7xEz3fs31M5/3+GzzjnHEpx435BF/dznAhiRUUJYitJ01Knj29OcPyFvOY7yTLlYXZ9NeLykc0pQkdcUSIflX4TVdulnc79eXnWWrxCoXfTeZeE9vhJQiqsH2yV5Jat6ppB/5ZPR6HsxpeI42/TOP+POX5Q/yDMlkD8hDkn7IPh/nPP3++QS7ePQc90rXv+Jh/HDf36n+944dASEzj8WcwA88uftjv0OsI4USfIqMl/BkA+4mMqFZ/gS7UNp9IOqSgZ8PefPnH8WBnx5jRtCYDRg2iJ/OiyN/DNXgM7p/FkATgqNyWkAzSqtVvHB+1Zc+SOVUZL2CdQ+Az3S+Uvk36R9VOPen3nNLL7zhdfhtf/61qjU0wXxI8h/RdA+vHwIN/ceE/X8PfIPhQX0XTJO9w0FdZcpH8vh9+zo1bp/RqnNXAV7VFSVicY9XGZ55p9RyWhJL/VktI/j/EPah/+fO3AbY0rTMGMDvpFnT/fPQRsHaFdcPf9RljOpmNSWd/NMIH8dOOXGJBBR23C1jzZwyF8pn8xCDndxUOH04sB9L13egTv/ptRTOlSZuMNLuOZZWHUzhSLsMwmXuPTMGuiu4hm+vnNz2sfVPpHIv+b8+b7BThar7Xvh7aDAH91C2yQvVU8iKbWPDfjqenLJ3GdVjVxjW+G5QJ1YAZLaxx/rvycL2MUcq/u7W9nZzPNRtE+3yPDUuRW84bZHMCh1I+DL750uo5TCG3/wpfjmZ+9mAV9/TrnTFP+9KfUMV8PuHHXca1zfdhRFgvPXtdQyUz5Zik84hPz5PfNJmVRisetzwDLUulFwkX4SQOQ7fhEIWyk13vxPj+Lc8tCtIujeqE3NTaSaORSkfIpZA/mPcf58tU2SVCD0B6OkpdI2ROp5KY3TPlKL3cmVSPKqA02C43e0z5iSzuQ0skwh04bN/P4lLQ8rpzBox/kT8vdJXk3ap0KvyIPJytE+Avmn6oTQZ77z+0SkRmCJ6agVk5HRdnkDNjk0Of8hZntF6GCUH7DdLA+W1aZGMWaVtA/du6N9JPKvdfJc2uhrP+nG6orTblKxMkrnLx0pf7epwex0/t009urmGY6eW8bvfuQh7JzpYnlYuR2r5LljkmL6qIog/5jUUyYHSbTLzzFKzCC559Fqn1Dnz/t3DPnz8g5aTMj8+ib3cTCSppLxRClymr5apnart7NLQ/z2Bx+05xTlHZrI334+aCB/3996WXOi98g/EfBVzXFJ35OgI1abapxteuTPlQEdMUC7RR7u56rDqp4S8dPzHEX7GONn2qEI+AB2slgptctgjFlU7cM3c4nRPrkI+LIJjHcEnjHceFYqXM4CNvEptrzkqihyfDORgK9E0OeXy0DmCXikT1I6GXvgE1hb2gewA33FUR/h34jz5zSfLyfQdB6cduNOhn52irhTDzh/FT7LRpJX/f/loW3XOORP9uZP7cfSsCn15NeVRp/J7RKBeMBXlnfwQXLhgPRoqafknlOlHozxdB+vMwXYfuqQP3tGhUD+cc4/a6hfNFvF8vIONI48kGmCKf4M6HN6N3ITqWEZlpwYF4Sl+Fia9gmP5/0xUwj8mK8xdZWofYCwc8rB3M1V4PzLGvHxImB0rD1XRLXDaB9j+IP32XtSB79IyUCJARJy/va7vIBaLMmLl/Kl61PbowHfyJvldVdcUDKPBHyNHxz8/oj2kUF0bueWhtgqKrDKgG/g/E2otEkhypjlmdeDy3sgmm6l5FU96wFSr1w67FqUcMTvl0vruglEH6wCciUCwHGp5/yKHfSjOP+DpxYBAC+/ZQf2H1/AA0+ei+rzY/fOP5MlR+heZRtTtI98H6m9CuT3pLAAaJZNoQ2MfOzCjwVC/pLqUsoj/yjnX/cvPpZoOIcbt/gJ369SdGMCB7icmM5TTywRnT//ampVBQB/8LGv4n/csR8vuGFrcqJNqn20KO/AfMdVF/Al405YKTsZ8L1SqU69l5TV5xCOJ6X2AWwHoZokjrMTnnZhpazPF29zgPy7XucvA76v/8TDeOcXDtq9XXMR8OWrAOZkfO2XiPwz96nsPMgWQ3d8swxP+zSdf4z22SKQvw/4+qU2p4242mc1zr9gQVGZ7Unva3lYueAk54ErHQZkOV8vN8O2ap841SMTvvj/O+Je6G8UFOc6f2mHTtt9ff/w37wYP/i/3ATA72VM1yKLvOoo5++cf0D72J+NJK/E++DUZ8wc8ieHmizp7Cd9L5xgtI9T+4RBbiqOx/unvH4nz9y75bvO2Sx9fx+ZQpjhq+sJXNzb5/fbGpSS9mmUkhdBaF5lmNvn9p/E6z/xML7nxXvwzp/4+iTFltL582Q0em5r2cD9iuD8yaQWu5NnTncOULCqGb2XNBDvsHy7N6AO6jjap8n5A8B87fxTAySs7WO37Zvu+Y25yTH+zy8ewjN2z2Kl1Jib6gTtdm1W7ZG/TbbSwT128uYyl9CdTGqZ6uTIFNwm6LytZOeXS1y3tR98RrV8LFpDLfW0f3OqD1JctQz42ntUDVRGRu9kaVg1Of+aCpD8vB9Mth6+NsbtTNZG588VQ/Jv9v/2b9Q/RtE+b/qhl+Leg2dww7Yp/Nb3vhC/8O1fg343fu4Y8lf1obHs1rDNYfBSnl9OqhV7jzGj42PlsJtqn5rzF3LdLONVTJvvSIv+GV4/RNFcttzJVbCaowmf17viIOz5e7bi/iPn8G++7sa6XSHt48Z/DQxoNzf5DPl9G2Pwy+/5Mm7aMY3f/t9fiOmuj4/J4HqzvAMFpk2dsAnXrsLRPleR8+cdv1OEA6JbhGof69TQkBVyOgWQyVq+4wB+aWdpH0+dcFsc1Mi/hdqnkyu86ye+HjfvmglyBABLoSwOSs/5B1RPHPmP4vw53cJlf0pstyB11Nx5dossoNKkuODc8hDPvnZLeF1FSV60XBX8ZaaQm6ZjGmc82N/Q+TPeXt5HWaNB6UzpOKVYm8XKDwgn9abzj1Mz9u/250IL5//iG7e5Ov0AMDcdUmkpuan8jM/No6Seqaqesb0e+NaY0iSA4kleskxErkR5B7ZB0VIE+btVI/XPyH1PdfOgmB/n/HkORhDwrSe0c0vDQKL8tJ3T+Ief+Sav2yfOf4TOP/BHbqXp7/v04hCPHl/Af/2Xz3UBfKk+dM9S9J+gpHOmoOrT8uKOV5XaJ7bMAuBq0siAL08Lz8UkoFznCnMD+LnLijJ8vdpH0j7zK/HCXq7NwZJd4UX1IOdSU2MMzi2XWBpUtdonC4qf8QJf/HzdxH6gdCznN+m+pOadCtjJjEbaXzZ4phHkH6N9+GqC7/NKg5jUPqvl/Efp/MmSyD8R8KWiWXxrvtgWmrHfi+C6kvO3/yfaZxTnP84C5B+lfezPWIZvbNUg+4CvTxMBBiMCvjJuFY6lGOevML8S1vbJGO0jg9y58n0plmvw/3znc2EMcPTckrsONaGTRarJ1mNiflBCG7s3ArEFe+amAiUVPQpP+xBd5ftVOLHWAIRNevtrgPeM3bONZzaO8+erFqvc888llqA6zja98w85Vo6GrFP2wZ4mYqDD+TPP2UMFwFADR/4iyUt0wsUa2aWqetKmE9rEZXckBay0weKgwsBl+EZon0wFg58GS2pJTE6XgtL9Ig82DQGayJ+eaydX6LHVFAXfyIxpoidqLy3VKSNZDsLKrN75B1r3Ec7fVahkvCgFn/m5eAyoyMJ9kaWSzJ87nMhj75NfA2C1+SNSxbY2jvYZyfmz42Xf9W1tKlDcJG7StI/n/D292CsyrLBKsNSurKYAiUbssY1qXAlrluGbK1u2QQtwwu259ZaWJxdWAPhtPgGxX6/2KjNtgDMLNgg/N9Vx8Zbr5pr0JcBoH7GJ1LAU+yNHKm3uP7EAALhl14w/b0Lp1oi31O/S3Tv5L0b7XNR6/pfaOHXDnWCehZuQUKS/0r7UciyFnfPigB8wbnN4bVynLbVHnfw9EaebGFcAPFUUcyTaGJxbsudYHFQ24JvI8JVSz1E6f15H/+CpRWTKdvBYTZugLELduXtFhm6eucFKuQ9kC4MK2iCC/Nlqot6ww/OXYlvK1XL+rLIlt9jmK7wGi6zUKesLcYRJ986v688drgi4M23SPvb/tHLqbJDzjzlB+mg8558AKAQu+Kqyft+l9olzqXZxJ0vPLoilaV8jSzp6/l55SQsqwTxK6klGGx8tDCond6VgMeD326Bz0GSxbbqLp84tAwCuFbErqQZznP8Y5M/v+7ETC+jkCnvZtrR8pzlu0jc0qnoy/+WR/1Uo9aQ6HWSU5EXWLTIWrApRptQ9xxJTOKdGnZbXVuEv3at90p0zttTzA8drgJeGTeTP79VK2/x5R2X48nt74uQi9mybCjKH3XMiRQcLgAK203cY59/Lw5K156muj5B6ZpkN8FYU8M3Cqp6B0mZVyD9L0j4xaWYnQP5CGqz4hOrb6Cb/BO3DfSCX3FH7wvbWzn8Q0hxrsVhlTm6ezhnj/BOKGUcrsjHkS5yMCviGzn+ojdPqy4AvBzGAf2f8s+luqPYhaeaobVIBr0xbWCkD6jYI+LJxe2rBZuZvm+7gaO38G8ifOH8W4KXnQv+PTax8xbP/+Dxu2jEdKs0YqOMmY4O81hQHu3zFeXUh/0gQlD7nA7abZw3EwNEzWc4eMmAHj1JwRbliah/ZiWnTj1EJSzEpHZ2j1No50oWV0lf1ZHQV5//zCPKPTTx55tPND5xaxNN2Tjfun55TTOffJeQ/9GntPDhOqxVJ+1AiDT37Rm0fFUpX21qeeXogpvMn41U9ATuBy7LEzSC6cqsVeb4QLLDr5OG7aCA5on1Kv3Jaq/HnpCKnidI+kSSvVD8hC/Nocj+GxogZOOdPuSwBqDKWFuWX58ifbNt0159b+Y2ARuUaAL4O1fxKGSj2ZNDUI//a+U91KiKnuwAAIABJREFUcO0W6/Q5OgfCwGyeKUb78ICvP96BDYH8b9nl+X553tjngF1dcLFG0F+VYvHKq8j580qA4TIpHFyurotpOn2JhMJOahzHD8TVPknkPwKZeE1z01lw2mel1Fim8g5Z816JoiBLbQbN21MZ6/xv2jHTuH+KjfA9UqkTk9pn2dE+4URJq5WUzt/xrFmo86cYCN1PWytyTw/I+w2CuaywG+C131Lq6dU+fnu/GPJPST0zJZO8wjY5zn/Q3O1stTYOvdOfY1LLlCKJOxN/nnAiGFZ1lnviPUm9eVkZR91wSsIYG//JIn2Xn3sbUznxcuCpzVzIZhnyD6We9u98JzHAI/+56Q5e93234m/+w8tx/Vzo/PMAcKmxOn+XVMiAzuMnF/H03TPg1ibg2ymyRnayW5kzH3jV7OQFhA6cPzuJ/HuFR7R0HL1Mya2FPCkCLT0lKmWK7dyjwhd1pi5uNmpwU8fg4C9G+wBWiUHnoomH0ySStpH35M5fd5KzS0OcWhg45B86/6yxRyp17k4eqn26AvmnaB+3/K38No7BEpYNwlXX9qlSyL+JXp1Ej1RaEQ25PZeP/fgCeCnkH64CCvEsZXuBjUf+UZ1/TU1GaR8R4/Ltbb4DnnjFV7up90RtCTj/TjMYWblxxJ0/UZa+PbyeEfV1qdqL2UzE+QdSTwZEAOb8pzqYm+rgf33W7uS9ERhsSD1L3ZgsAS+/PHJmCYNS4+m7QuefCviGfUklkb9LPstUoCwaZ5ve+culOlmWqYD3JacW38krPJ9M8qIAL+DVPrwOueVI/TmeOms5wznhBLnFkL/P8NVBchoQVv7jnKxcddA9R6We9Xf2H7eKg6ftiNA+9SRpE1680wfs4OwVmctjIJkoOZiT837pHLvu0rByMQYfeCMaK770HWWjlDWxQmw04bqdtlK0zxjkX4h+5s/RzBoO22v/tsRWTmu1VNyBGylZyMYFfN2mJYnVAHf+6XLlIdodauMQfcj516o3Hq/KfR8H7G5wckznmV2ZDyuNVK4B4CnK+ZXKSz3z5iZC9BxPzK9gqpO7tsaMA02uNOMZvzHKjJ7Fgbpkx007faY2MCLgK94Nz07mgIn7s6sqyYvfuNTkyg3dl4aVK8wGoKH6ofPIpbLcLCHLgMz4B825QwAuYDTK+ccmHh8s86WRyXoM0edKQcEPZH6OUVJPuuZjJ6zW+MYdTeTfzTOc0+FuTXu3T6HfyXDjjilMd3OnU+cldotc4bETCygyhRsSXOmwMpjuFjUiDTXjrqTzKpG/+70V529/xgoBhgFf65Q04/y7Y+gcUsAUxi+7pXOn7zm1z7qQf1x6yi1T49U+Uil2HnFai/aKTqmr5PGc85/t2XEgd8ijVSxQ7zssAMDWfhECM+WTsuTWmjGb6eU24OvUPj7gS2VFOPLfNp0er/zeaMUwGIQB34bap/78rZ97Ap/ffxJ76/G2d1vo/GW+kb+e/50Hq2k/BZJH87ITqynstvmdP81+bBYkhx0EfIvM0RJS4imXapUYMNy5O+Sv2IYnbHLo5MpJxVaN/Bknz2kfaj/dX5YpgCV4xDJ8Y8ifPnPIP0H7uHyI+rQ37pjGg7/5agDAdLfw0jzKojUGRX3em3ZOJ+kOwA5IKtrFg8CxBKRxFmS5Cj8QOHZGWwHNOux0XUcDCkkhECL/Riamc/6AMaMnCcCXLliP85c1hWKmJPKPBHwz4WBkuwM1XcarqCaQv0g24pw/zz6Vap+YlNYif/GO6vdit1cc3VdmegUWVkq3Mg2Qv5BLnloYjByvgI+juDwQyiGiHcaM9CX28w/tO4ovzHbxQ6+4GUoB1871wvMKcOKvF74HzVbLtBcCPRf6eVUVdpN7jdLLVCqsrd7JeTYowu+IpaUsPcu5Se/8fXCFOrFSVp1wYt7zh+l2NyWZDjVV2qFrMp4AI9UxYYbvaLUPABw8vYi5qY7bZD1w/oVXucScCpfe+eqX9v/7T8zj6ULJIO9xulv4/VUr0+B+14z8Je1ThAPHtrd2vjXnLuWgnEPlQWp+r7Fr+X6UhTr/RFXP5eH6aR/uwFNMWaYE5y8KqMk2xoADr4DLee7Ue3IrZFY9ls4rhRRc7RMkcznnXzSCz1nt4EoRsI/ZbK/AeSH1DMqKKOXQ/v7jC2ORvx9z4fNPVXzlv5+YH+CrT53H7tleg1riEyy3GCgDfA0iyR50hPR6nG165y+dBj2/PGsmeVE6diaO5f2YMjvJCJn6Tu0r6tG4Imcx0y0C5ygDn9x4II3MOX/TpH26jM7hwW3KeiSjejGy5IQ9v/3s/HKJGa6fVmEn09rvsSqN31+XIf9KGzx+YhHPEEoGajPZTC/H7lmLfJ46t+xpn8QAGGWj0G/MWdNntPIItfJN2TB3/gV75vKx8LZL6WfsuOUNoH0K1oeTmeRKiBcI+XOHGkH+sYC2VLgknb8I+JbaoMizBp1K9CunfXi7Aev8ZeJmnsVpu5jN1sifB3ylVv6FN8wBsJLQbVPd5Ln4vcnqral+KNv32f0nsWdbSIkCfFIRYIGfK1D7IKjqyfvtamr7bHrnz1Uv/P+ZCnnaHtsQu0H7BE5AJnlRJ7X/t7V90OiUmVKY6eXO+fY72cjaLbFVB/2uta3rwwdET9A+QaCbdZKX3bwdv/k9L8DX3bIjck37c2lQJTck79ZaaF4ci9sUU19Q5660waHTixhUuiFjAxBkOk93C9xcqx0eP7lQb50Xl92OM7li4xbl/OuGrDh5qH+mik1AqnZKXOdPE5SMLfHzUyDQ33f8uI3h/MdPlqmAb2p1Qu0JA+F+hcoDvuORf4hSiyyUIVKpD0f7iNLNQE37iDhenmWtV04zwvlz2ofkknu3T2F7jfjHIn/mLzLhmN0xPIYn2ndqYYAbIs7f9x9xPY782eRJOQ7Sh/A9qtvYFeP8MzEYsgjydx1XRsk5t5aHCIWXIQZsnQ4pUcsze66ZXuEc/jj+MJrhq/zAOb88xDVbPTfYDQK+Hu3xVQnd5w+94mlRx0IDeVE4f0kbyQxfbnHax7g4Ai9Y5a/LkH+3cCqjJ04uutrwsclwnIVObDzyJ0e34mif8P37n/Y7PMO3qEtfxzNiM3eML9sRC+DVzn9Q1Y6s/b1Kc0XQRjh/pRIB3wjVCLDnkYV9G/ArznEBX3onDmHXIKLI7AYtFA+jUt50ml4kprKlX7DdveD2em4rlZ3tFTbJi6i7LHMUJSF/pRReuNcWVpSVU6VxHxPsm52gfWLgac+2fuOzXpHjWdfM4pnXhGNHyoaJznc74ol+W2RXGecv9eGeygk5/26RNfZ7jat9ssD5Ox16/R27XBVL53plMNsrHPIf6/wjS2xCDboukMZri/RYXgB/8VJpNMoZOOQ/rALeUap9gFqTP4b26TEul8pRPz3i/Pk9Tvdy7N7Sw1QnxxMnF51sLUWpjLJRipdugPwp4GuPkQFXCSAc52+M467ps5i6kOeLeBTWPJDasVzqdaH+sM3pYzg1CcS3cZTAQX4mkX9qz2R5vjKgfex333bnAbzq927H8rByyX10PAcj9Cq39DuNFWGeqaC21Cizap+KBWbtO10pKzx5ZtntO/H/t3euQXYc133/n5l7d+++sQ+8Fy9CIImH8OYDkEhafAooUrAsUpFkWUxZssSYsmQndokUVYmtDzbtyHEVJcYp2lGFcilmlHJEirEcW2acUioyLSMqSATJMCLFjbQkBUBLEIsF9r2dDzM909PTPTP33rnv86tCXezcuT3dMz2nT58+5/S+cc/0k9XsowdW2pL+mfqAyezjOoRv/fOb8O496yPHI5p/wTNZCSEwM7+Ivq5o0Kf32WE2f9cNX1ggqs3r6R3kjenvlhsme99FXgaK5yAhZYFVXkvt+wV/E/S+rkKwO1Oa8NfNVbIcwLv+tLYpilwQG+vvxur+7uD6epBXkjYZav5L2ssWamC2aEVJb8Ts42t5QmBi6hIGSwWM9MVfoOiCrwsiwpbRXkxMXVLylJhNKkkk+fkXDTtvBTb/pWhiNX0GGESSroggPbdcfDT5lstjUsPV6yaRP5X7M1SDujhtwyHP9/yOP/o2vvXCmXD/CYt2atoLImLzpwyav9KHgTAgqeh6mT0vLyzjwuyi7xmjmH2U/iiFu+fqGW2nQ6HHUdo91M0+BV+xe/71aSwsr+DAZk/jl3b/dLMPwnsRGTTN/dCs+ceFv43IAOP3x4vzS5hbXMHawVLMglF0qSxXz9YX/lLz1wYBIi29g9K5Ai+X4OaF5RU0zV/d6FmiB1b1lwroch30lwpBHpOhFC3CNG2XRS6bzD6uN6h89WPX4TduuzKybpFV+MtrXl5YjqUTlu2TAmBBi1aUmMw+yysCP7u4EMuCGLRLM/sAwNbRPvz9K1MQwosj2L1hCNduja9TJJHU7iw2f13TdRUTg3QplAvvg6ViJA2FqR6uQ9aAHe+YuT9WQhazj0OES/NLeOnMRTw3+ZZxwdc1Cn+lDGWG4S34xtcNVFTTJeDNINX9ZgFvcTU0u3jH1JnopYUwR1QQoKc8Qzlzs9VB0t9dwKWFJcVjyzv/e//vPADgwOZhAMB120axb3wosnmOiXBmqAt5swlV7QMb/CRxJpu/DdWJxXW8xfuzvtls9UB3xBNLnt+R+fz1EGnXiUb4qv+XeT9MUaWOo+VDEfGR3nEAUvy5h3qK+OzxnVjVW8R/+M5EcCwJVxNIQJjoam5xGXOLKxjt60LR9fKpSM1fJrrSXfCCuqUIA8ArXw+Q8WIHhKL5rxgFWI/J22dFYOrSPEb7zQOervkDwJaxXsw+v4yiS7hj9zqs6u3Ce/ZtsNbdRFJmy8isQOYm0rYs1G3catyHzB45raSscB2KbXqiXksu/APmKb9NW6yEcLNz+zmOYqa5MLuI9YYFX5P5wqj5awu+tn4m7/Wy4uqpzogAYGZuyU+YaPbzv6zMtgKlTnlX5zMumPd1F7Aiwlxb8vzv/fg81g+VAmVlqLeIpz75zsSygOhsSx3wHcNgCUT7wMEtw3jjuTfKEv6RoEOSwt9LPb12sBQM0vIZFp1wXTNT+ZnPbFL0AAn1BdaDvCT9fuIx3VXKKycaJadHIsrz1ZdusFTAjVeuxt7xVZlt/oFbXUxohfsO93QVAjOLPsUNp6DJGnC0bO+7xWWRoPmH2nFWV88VITA1s4DR/u7Y+XqdZM6VraOex8+NO1ZHMjeWQ1K7iSiW6kJq7tJbRN9TQbX9u/7LpmYq1Wd8ElXh0ONOVJLSPZeLyWQZqxeF+aem55aMC76Oon2bUoPoprA0P381Sh3wzT5u1B15Zn4pzOYqr630R6n5q94+EZt/GcJfth0In/fJifOByaccVLOPXJwV2r4CNs3/127egT/75eswbDCL2lCVEqnVn7noaf5rBrpj96bgUmeldNbdNeX9dpxwwVdOmyQDfqewuVuq909GAuoRnvI3/d2FyAifVfibbP5evcPcM10FJxC2ahBMtO6OtfPZrumV7Rq/UzV/c5BXOFlU0zv8bGYeY5aOrT4bOejIl+c9+8vT9lXSolyLBkEsbc/q72OzRwpzyEzPLaLoEkpFJzbQ6vVQXT2LlkEiELRVmn3UhVgbDoVmGs/OHl/wVesf3C+DWShY8M3o6ik1/yVf81d32bs4txTY/OX5qjIiNXXPzz9aJ5dCd0Y1kM+EXNuTszc50zt7cR77xisR/uFzPuYvzq6I6F7MEXOQMuBtGunBO3eMlXU9NeLc24gJOONr/msGSzHLxXBvF85fXsjenrJq04S4mo1V7SzqxiaqoEjS/L0RNhqGrkYCeueHnkK6kA8XfJMtaqYgL1nXIGumS0F5uuavbiqtFpGkUKrXimn+JuGfUfOfW/QS0Vk1f7+ufV2FoN6Htwzjz3/l+rJNPdE6K7ZWgxmlWIgLSFX469HQ4TTat7GuhNtSem6GNlfP8FkEsQPW7RGjgrZSQu+2ZOEvc85Pzy4aF3zleYA5OlxPmW6aPaioNn+h7N6mDjiXfPdLbzCUwl+1+UcX2YHo7Cq8Bymav6+oyNmbqqRtHYvHo6Shmn1+7qow6+eq3i7c/67tAMJtGtX6dRWcyACR/XrhzFQ6opydnkd/dwH93YWY5j/W34VzF+czl1+VzZ+IRgD8JwBbAUwAeL8Q4rzhvGUAz/l//lgI8Z5qrqtimhYCnoAuKvZCVcDLBd9glqD0Y0/4h38Hwr9HFf6hwNVz10s//zRThhpgFGmPQ5EIUClsdU1RXaxWN3LIYvYxludEBcBCBrOPHCjOzXgdzmrz9y/V2x3+lohwZPuota5ZsNmu9frpWyvqNmObq+eS73UlI7XtmSzjmr9NMHn9MD01QRpqP7dBFJp90jT/eZjvl6ogJXlXBef7s5tIagwn3JAdCDdYUd8jdWYrTUsDpWLwLujvOZBu9pFrezKnl1r/9UNm54QkVM2/VHQj7uP/4rarACAyo5AL2sO9xbK82ILfqwqeYvZZM9AdlO99eueP9XfH0sIkUe2C7wMAnhFCPExED/h/f8Zw3qwQYn+V1zISF/rhi9ytaH7qynlv0TX+Vp6r7+HrOhTR8B2H4Povkq75lxvkZRb+oTdKb9F7RHo+kND+GAowma/EhvrS65q/mhkQ8NYFsi74Sg+E0T6z5i/L7uvK179AX4TXCVMEqwuYjt3bR+k7Qz1FvPTTi77mH5oJTXc3YvO3mPPC63uC1rQgXA5JawtBvYgUm/9iYC7R66bP+vSEYvKcctaWllZEcD3XJVy4HKYrUb19TOkdJAOlQiyiOJJTJ8Xs0xcI/6WYh46+RWMWdBPUsw/egtf8zd4dh/Bbd1wd+03RcTBc4ZqWuk2jXIM6Nz0feAHqaSFWD5jfP2v5FdUq5ASAx/3/Pw7g56ssr2zinhrwPynycgc2+q5CzFYW8fPXQqTfml3EUE8RBdcJtHyHwt/GzD6+8E/K6xOpt+FFVBe0pLDVzQRqkim1/ZVr/v5xZT9S00DSZ0jvcNafaq4esGn+XjnqwJEHaTZ/U6KyLpdi6QHCgTT8e81AN87NzOPC7GLwLNWEeqZ6eF4t5hldUE85w6rS7GMyWcbPQcTmr6aqMNWp23C/IovgGYW/NJmpg426P4Wn+XuKmLyf+poW4ClS4fURq1uq5l+SC76LscX6MYuikoRughrp68Lb/QAx628cSo0fSPqt/FQXfNf420zqEb5jFrOrjWqF/1ohxBsA4H+usZxXIqKTRPQsEVkHCCL6uH/eyXPnzmWqQDynTygUjcJfMdOYvX2iid3OKiOtHMG9sHSz8Jd5QtakjMJJmfzmggVfL19Qd8GJTRv1utvKi/wmovlrC76a5u/VJV6GaruUAuxMmubv1F7zNwkj04JvwQ2n6mEum7jXz+qBbiwsrWDy/GywJ7HuVqtf23EUP3+bzd+/ZrVmn4ImFE2omv/c4kpoQokpHNE6me6rXAdRy7bXzQuolFlE9YRlM3NLSmS3HHjCfvV7v/B2XH/FiHb9eP/ObvZZCtwlgejeAeUQKgnZf1NwqWLNX1VovQVfgTPTc1iraf7y9o6Vqfmnvo1E9LcA1hm+eqiM62wWQrxORFcA+O9E9JwQ4hX9JCHEYwAeA4DDhw9n8lmKhziHQjGy+5V/I2WH8I77n+qCr+9NMDO/hN6ii7MX5wJ/4FW9Rfz4zWSzz6271uI/33ck2CjFhm3a7hJFzBI9xYLRMyT0FnIi9yGpUxciwt/g54/k1MXyvFLRwdziimL2SbH5+/dXtfnnQVpmS1OiMs/mHxX+eh8iIqzxn/nPZuYx6C/euxTdsU2iem7pz8V2bn42f/vzVm3+AAJPEFvCuUTh70TXzZICrKSWKl2m1Vlrl+vg3MV5LK0I9HUXjK6eH7x2Mz547eZIXU39O0tiN8Cb9XjeWt75avBkOZjigtLo7XLL1shN13PIa8fisgjkkWnBtxxShb8Q4lbbd0R0hojWCyHeIKL1AM5aynjd//wREf0PAAcAxIR/Jeg3QNWIuxQbpvxeXaDVR05ZzuT5Wez/nb/BIx884N1sf0QNAqwojGDUhX/RdXBNhkhVm3nAcaK5S3auH8BPzl+O/V72P1l31d5sQ+20Nm+fpE1LJL1dBcwtLihmnzl0FZzIwGoqO3/NP9nd0STMio6D6SUZ9KPNmjSzj0TV/E232FUG4Cw2f7VulRIoD6nePuFC6/lLixFTiyQYkApxhUQdEG1pIXS8xfIV485hm0Z68KrvEbNmoBsvn/VyQun9MWiDdj/L0fzVWaqalC9tVm4ji2lV59/+4iFjMrdyr+dS6MO/OljwjZ5Xb7PPNwDc6///XgBP6ScQ0TARdfv/HwPwDgAvVHndgJjGLxdJIpp/+H1/Keq1o36q5SytCPy30z8FEC4OSY8fhwgzvg0zLRNgWr31l6jgUCRr4cduuAJf+8SR+O+1abDrmO3RkbJVDcwW5GVIi6CjeyCdvej5+CfllVd/lxe6e69Ol2bWAczePrpG5xJFhb+0+af4+Uc0f4tWGi6sl292MJWTpIS6TujnD3gphU3PVO2LDplt/vp6x5ZRu6uk1PwXDQvMo33deHXKF/6DJWN6B1Pdgmej3Lc04e/6s1S9/tJmXi6OJmyzcGjLMNYPZY/qVVHbrt77YUOUP+Ctkejeh0lUK/wfBnAbEf0QwG3+3yCiw0T0p/45OwGcJKLvA/g7AA8LIWom/FUXyEDzU27egGr2MYzk6v+f/dEUAAQmAGnPd4gCl6rBUmXC3ya4HEex+Sd07jCNQNjutE6ZyewTSYhmvn6vFntw9uK81cffK8fX/C0zg0qxDaCSQJPVBIY0q8mUwno+ddXsAyD09iEyzobUl1RqyDazj3xe1dv84545OkSEBVXzv7xgPF8NctOVCHWGKs9bPdBtTOCnlrdssfn3lwrBmosapWrT/PVZWTmaPxDONonCDZIqNvsYHERqiarQqu1W1x6B6Hery9D+q3obhRBTAG4xHD8J4GP+/78D4O3VXCcJk5se4If3S83fDTuuapow2fBUQSK9WMIcIGGHvzjvdaQ0l04btgRgLimungmubPJn6iJl2nRUbadd8w81sDGL947c0KWoxATY7P1e3bzP3DX/FNOHyeZfdKNRquqgqd7L/m5vV7bLC8sRP3+j8NcW3WUKYxN52/yTXT0RCfd/89KCdR3HO59i5kM1jYT87dXrBlLrtqTZ/P/dhw/i3MwCvvvqm8F5awa6YwFm8TZowr8Mmz/ge5hd8n4n3+eKzT6GAaiWqNdT2y29h3qKrpfAUrl35Zh+Wj6xmz7NVkfDokErVr19ZN+J+ovHH6wcTaXmPz23GJh90lw67fWOmhz09gApmr+uEVns0SqqNhqLGwiEUliILRCm17BVpM3TBwifSa00f5smZt6QPOrN5E2ptfL809cMdGNi6nIwu7O5erra4n3BcayCSQrWNB/1NDJH+GoLvqbd5aJBag6im6bL2XN4/lVrk4W/1PzlIFtwnCBX/QuvTwfnDPd2Bffepvmb1vIk5Wj+XipobxZUTlplFX0gqjXqTCNi9vFnXe89uBFbx/oiCq1NYTPR+sJf19qCGxZmcVRvnlnzD8vTNfGx/q5AK5Ej7vTsEmb8/CMVa/4Wk0VUs0k3+5g8Tay/UYrTB5ZgIVJ5CdcNml+Svu541HGSp0Hg519BiHsStkA5iSlRmR696jjxxXfVNjwxdTnw9tk7vso4wEpbuRTEyZp/Pq6e4YBjP8eh6Kbpi8sCG1fFn1NEyFC0TPUeT/oBTVelaP6Or/nLGWxJ8eGXNmmZkjhI72DpG/I2mtZSstxDGVtCRPj1W67EYKlYcUqRRpl9VOW16FKw//ZgqYibrlwd+U3dzD7NgG73DbxgfC2t6FIkt89Aip+//mDVxSHp7TM9txgErVQq/Ef7uzDQXYh14Ijmn5D8K77QnS78I5q/FlQjw/JVQWmLggzMPqrmnyD8Q80/X+Hvpti91fQeEn3LPVWb1/uD9KqQmv+/vGuXpR6kzS7sNn95+aqzehr6ro5pVnDH7rjXtmo+u/vQpkjaDfWe/ND3zLl63WBi3QoOYXlZBGtX6mxDauJrNHdFm+YvU5eY2pvF7NOnbNw01FvEb9x2ZepvbNTd7KO0WfbRVb12xwqgQ80+uhlETVegLmKpwt9kR5TCb91gCT9VAiqAcKFlenYxWLQaTEngZuP9hzfhtp1rE4V/kmYjn79qb07zP04yKbkUXzReZ9mcRZp91JcvqdNJzW+gwsVxG/pCrY7Nz18iXyrbomIg/NOitUkX/o59sxOp+dfF7BM/dufeuNarmrv0AU6NR9m4ynPT3LE2vlVntDwHy0IV/tEFXyC0u8s6Jio6EdOc91l0s+361lOMJnGsBlnXKsft7NdT1lvktVel9MVP3LQdn8pafuVVaw50zV8X6F0FJ6I59HdHs3N6n2HHkC/noS3DIEJkdyp546dnF/GJm64AYHdRS6PoOhGPkuD6GTUbU3xDmuavfq9Ps+UAqWrJtnQMPV1uLFdKkrfP9tX9+KN/sg83X20LAK+MNE1M36YRiObUkRp7zGTon759TT/6utwM+zFHB81VvUVrVGdg889rwTfhkZsE3p6Nca1dd5YwXcdxCF/60AF8/VePGtcNVKTNX3pVqe+I9LaTwj/M6pm0vhV/1llnTlLzz0X411nzD82R4TXTFJFyUoW3neYvO5N8PlLzD/3842Yf9T2UN3ndUAm/eftVuG5bGLAVaP5zS3jw2E48eGxn7u2JRjBmt/nrEZgmkjR/GQSTFigGeEJx80hv5CUYTXD9IyK898B4arnlUomfv5pnX4b86xujyM8PXLMJt+9amyrsdLPP4798rXXgzMvbR3dwMKF+95l3X409GweN2nLSIKrGk6zq7cKBzekLitLbx2j2CYR/KVLHJCVKdbEN10yyCWDpYZaHti5nvHlyDwJqAAATT0lEQVTnqLKhxizJPjlYhh9/Gm0j/AuaJqQGLanpaKPpHeIvkPQIGO4t4v53vS1yLWky+siRLXk3I6xTRm+GWGBSBpt/VPOPm5uyBIoBwIev24xfun4LXjk3ExyrNIS9GlL9/LXEbd4xJ/K91zdCDcs7PxTQtn2JVfaNr8LUTLiJRtJv8orwzbL4qMryO/eut6YcCbdKjH+XxaXU9JvllZUgjYbR7DMYNfskaf6q+2mQgDCjhis3H8pDW79m6wi+/E8PBxu+1xrV5i/vf6XehSZaX/jHpuzRl0Kafa7fPopP37IDe5UsfNduG8H7Do5jfDh8Kc77qWeHDNN2xyG8+nvHK8rNnRXVxprmw13O+UBUSMZs/r5dMUsIfODVopSXFPRTK/T9XXWGeooYKBUiz+u1tzyPleu2jWDraJ/n7hlb8C2vHvcc3oR7Dm/KdG6o+VfXh8IgL/s5psj1pPPSAtiy4jqEpWURRKqrmr/0RtnsD0Sy/DThr8/wsw6evYq3T7U4DuHmq9dWXU5W1IE3MPvkuG7W+sI/uEHmUP0u14FLXtCOvtI/PtyLP3z/vsixC7OeBmdbWKml4AdUrTObFh9J75BStUhuH93bx9culv2EdVmiIJ2gQ5qTz9WatNw+9x7dits175Ybr1yN77wyhS996GCQpTOW26dc6V9WnfPR/LMIZZMjg4kkl9m0RXVbeYvLK0azz64Ng3jq/ncESphpJy8d1aRZ7sxJav7SQaOVIPI88Lxkj969rNTBxEQbCX//b80WXiyka8Qqb/maf6VpWKslq3DYvWEQh7YMB7mFdI8TE5H0Dm58wdd1CG/5mR+z5D+R12uEyQdI9/MfKBVjHkb33bQdv3LDFcFv9m9ehV3rvUXQLO6T1ZJ7YreMZp+k85IG0UrNPrOLip+/phjs2xTudhWYfQz5/NXy9MEuKauoitT85UDUashMshf81BSs+SvENX/vuOxUg6ViZNPxNOSaQKX5P6ol8FJKEQ6HtozgL/7Z0eDvgpu+4Ct9+YUwa/4OEY5uH8Pdh8bxW3dclbmuST7+taQSk4T6O8DLuqgfr6U3R15mnzCxW7o5B0j2jlFzGsW/K/8eS2+fucVlL+Yhg+NCUn9XYzGyvh+Slhf+/sAXCH+2+Yfomr9uv/z99+0tS2t5+H17cfvus7gyJYS9Vpg2VclCFldPWf6SEAabv3cvS0UXX7hnn+XX8WsCyakdakma5l8uspxaWvbUTb2rK0cOVPZz1Nti21BerZPpPlaq+S8te5p/mqfU7bvXGtNMq6ib6JRrNpOK31wLmn2AUPjLTehZ81cIO4UWou8fT9tURWekrwt3H8rfLTErqrmqHG7duSYwWaWVb3rZvJwulWnQDdf8cxL+unZZC0IPpdrb/G0JC21lmeRpluyhpvKWV7wF31KCOQfwUmbsVTY9N3H87euxY01/pK6ZXT19P//llUx7QzUd0s11ek5q/mzzDwhynPh9od7Jl/Km0gXBXzqyNXP5BcM25FnSQ8TKokbb/OMRvNVQD5t/bt4+brrZR/0u2eZvb7ee9C5T3ZQI30qDIFU+ezyMpwmCvLJq/jnnk6o3Mrr3s8d34nNPnsahLcO5ld36wl8KezeqobSo7C/bpllJ+aaB5Z5D4zhyxajhF3b6SwUc27MON2rJpepF3jb6unr7VGn2SdLWJRGzTwavIHOuf7tJKKm85RWB+cWVVM2/XJwy34+8M8nWG2n22bNxCE/e/45cy27tO4O4AJB9tF6Z9/LGqdDmn5WCQ8YXpxIB7jqEP/7wofQTa0RScFIl1ENxyC29Q4ZZitqeLHs7mwR88D6VueArXT3TbP7loma3zEK9onFrhXTEqEnZNSm1jsRcPSv0AGkWQlfA2tTfdSjRra6VqGQxMlN5dTH7VLvgG41rMSEHxbT1haSNyYkIw73FYC+LLPR1F3Bpfsm3+ddmA5+s9y/vfaPrjW3r0Dxo7TsDe5BXvZIv5U25EYzl4lo0/1akkPNAr3uM1QJ1t69qcDPk9qGM61/hfTR///SvvbOsdZ3BngKm55Z8b5+czT5S889oNmt1zb/gOKz524i7enqfLSr7g3bUKmLWJdb8bWTZFL1apJJS7QCczdWTIufa65R8H8eHe8vS4AdLRSyvCLx5aQGlHBZ8VYKZU8ZnnvfWofXGcWpnwm55KRBz9Wxxb59CkLWwRsLfbSfNPzm9Q7nkPZiYr+F95pbYLWkh1/8qbZaRlNK5EmQg0tnpudzNPuWuidXqPaoX+8bDCPS8aR+zj9aBW9XmnzW3T6W4RLm43zUDufv518XVs7yUxDay7uGrXtNaJzf6DlWLDES6tLCc+yzTtN1oO/OlDx2sWdktfwfXDZUw1t+NbWN9ANSsno2sVeXkpRnay6eGJGGrBbZ9kCulHq6euaV09oP1kooxZV81kXd8gxqIlLu3T41doTuJltf8x/q7cfJztwZ/t7q3T142YRu9XYXIhjatjJuS0rlcVvUW4RAwUsOkfnl5+wDpW3fK25J5wTenLqemIMjb5u/kPOB3Mu0hBRTku9Cq3j611vz/4O69Lb8IJik4+Zor1g/14H9+5mZssGxcnwd5uvKqOzzZvgcy2PwrCORKQk0+lre3TyVmn9t3rcWGVT251qMdaDvhX48Q/VoSBLFUucG3jZ01WjxqBLVYoN1YYyHh5GizLjjJezhkTc2gp0OvFnWrwUYv+ALAYx85nGsd2oW2M5y5OU9h641bY2+fdqKSpGON5qq1A7h63UAuOWcK/kZFNjLb/P37mNdGReoeCnlr/qHNv3WeebPSdpp/1sCWZiXw82fhn0po025sPcrh1l1rceuufLYC/PyJ3bhqnT31eHh/km9Q3qmxuwoOeoouZmuR3qHGZtFOou2Ef6ubfWod4dtOkL8FY6sO9NVyYv/GxO+zBnnVIip+sKeA2cXlxL15K0EOZFmzejJ22u4OFgt+vvoWFf6VbubSqbgpHi+dTNb05mHMQH7Xlh4/tUrsxmaf6mk7zf+eQ5uwfXV/y/qyV7qZS6dScIjd/ixIYV5teodKkB4/eQcUOmz2yY22u4OrB7pxx+51ja5GxXAQS3ns3jCEtzVoy81mJ2uqk53rB7Bz/SBG+vKLb5AeP7Va8GXhXz1tp/m3Oty5y+Nr9x1pdBWaliAgKsVEcmjLCP7q0zfkem2p+edt9pEpmlt9k5ZmgO9gk8HCn8mLIOCxAX7PtbL5bxrpxX/82HW4ZttIruV2IlX1CiK6h4ieJ6IVIrJGUhDRu4noJSJ6mYgeqOaa7U65OxUxjI2s3j61YCjQ/PMfeI6+bYyVoxyo9g6eBvALAL5tO4GIXACPAjgGYBeADxLRriqv27YEe5S26II10zxkze1TC2Ryt7xz+zD5UZXZRwjxIpAaGXgtgJeFED/yz30CwAkAL1Rz7XYlr6yPDNNIzX/zSB+6Cw6Ga5gkj6mOekiYjQB+ovw96R+LQUQfJ6KTRHTy3Llzdaha88E2fyYvGhntfsfutfj7B2/BUBl7/zL1JVXzJ6K/BWDynXxICPFUhmuYep4wnSiEeAzAYwBw+PBh4zntTq03c2E6Byejn38tIKJcXUeZ/EkV/kKIW9POSWESwCbl73EAr1dZZttSYD9/Jiey7uTFdCb16BX/CGAHEW0joi4AHwDwjTpctyXJM+Uv09lIhZ9nkYyJal0930tEkwCOAPhLIvpr//gGIvomAAghlgB8EsBfA3gRwNeEEM9XV+32RSbCYi8JplpaPcMtU1uq9fb5OoCvG46/DuC48vc3AXyzmmt1Cke3j+Ff370Xeza2z6YrTGOQQp9zHzEmOMK3yegqOLjn8Kb0Exkmhaz5/JnOhHsFw7QpWffwZToTFv4M06awzZ9JgoU/w7QpjfTzZ5ofFv4M06Zk3cmL6UxY+DNMm8KaP5MEC3+GaVOII3yZBLhXMEyb0sisnkzzw8KfYdqURubzZ5qflgryWlxcxOTkJObm5hpdldwplUoYHx9HscgpcJl8YD9/JomWEv6Tk5MYGBjA1q1b0zaQaSmEEJiamsLk5CS2bdvW6OowbYJMEsiaP2Oipcw+c3NzGB0dbSvBD3gLc6Ojo205o2EaB3v7MEm0lPAHUreMbFnatV1M4+B8/kwS3CvKxHVd7N+/H3v27MFdd92Ft956CwAwMTGBnp4e7N+/H7t27cJ9992HlZWVyHH57ytf+UqDW8F0AsSaP5NAS9n8m4Genh6cOnUKAHDvvffi0UcfxUMPPQQA2L59O06dOoWlpSXcfPPNePLJJ3Hw4MHgOMPUE47wZZJgzb8Kjhw5gtdeey12vFAo4OjRo3j55ZcbUCuG8WA/fyaJltX8f+fp5/HC69O5lrlrwyD+1V27M527vLyMZ555Bh/96Edj312+fBnPPPMMPv/5zwMAXnnlFezfvz/4/otf/CJuuOGGfCrNMBbYz59JomWFf6OYnZ3F/v37MTExgUOHDuG2224LvpNCnohw4sQJHDt2DBMTE2z2YRqCdCIoujzBZ+K0rPDPqqHnjbT5X7hwAXfeeSceffRRfOpTnwIAFvJMU8GaP5MEqwQVMjQ0hEceeQRf+MIXsLi42OjqMEwMtvkzSbDwr4IDBw5g3759eOKJJxLPk+Yg+e+RRx6pUw2ZTka697Pmz5hoWbNPo5iZmYn8/fTTTwf/P336dOz8rVu3YnZ2tub1YhgddvVkkmDNn2HalGu2juDjN16BPRuHGl0VpglhzZ9h2pS+7gI+e3xno6vBNCms+TMMw3QgLSf8hRCNrkJNaNd2MQzTnLSU8C+VSpiammo7QSnz+ZdKpUZXhWGYDqGlbP7j4+OYnJzEuXPnGl2V3JE7eTEMw9SDlhL+xWKRd7piGIbJgZYy+zAMwzD5wMKfYRimA2HhzzAM04FQs3rOENFFAC81uh4NYAzAzxpdiQbA7e4sOrHd9WrzFiHE6rSTmnnB9yUhxOFGV6LeENFJbnfnwO3uHJqtzWz2YRiG6UBY+DMMw3QgzSz8H2t0BRoEt7uz4HZ3Dk3V5qZd8GUYhmFqRzNr/gzDMEyNaErhT0TvJqKXiOhlInqg0fWpJUQ0QUTPEdEpIjrpHxshom8R0Q/9z+FG17NaiOjLRHSWiE4rx4ztJI9H/Of/AyI62LiaV46lzb9NRK/5z/sUER1XvnvQb/NLRHRHY2pdPUS0iYj+joheJKLniejT/vF2f962djfnMxdCNNU/AC6AVwBcAaALwPcB7Gp0vWrY3gkAY9qxPwDwgP//BwD8fqPrmUM7bwRwEMDptHYCOA7grwAQgOsB/EOj659jm38bwG8azt3l9/VuANv8d8BtdBsqbPd6AAf9/w8A+L9++9r9edva3ZTPvBk1/2sBvCyE+JEQYgHAEwBONLhO9eYEgMf9/z8O4OcbWJdcEEJ8G8Cb2mFbO08A+IrweBbAKiJaX5+a5oelzTZOAHhCCDEvhHgVwMvw3oWWQwjxhhDie/7/LwJ4EcBGtP/ztrXbRkOfeTMK/40AfqL8PYnkG9jqCAB/Q0T/m4g+7h9bK4R4A/A6FIA1DatdbbG1s937wCd988aXFZNeW7aZiLYCOADgH9BBz1trN9CEz7wZhT8ZjrWzS9I7hBAHARwDcD8R3djoCjUB7dwH/hjAdgD7AbwB4A/9423XZiLqB/AXAH5dCDGddKrhWMu23dDupnzmzSj8JwFsUv4eB/B6g+pSc4QQr/ufZwF8Hd6074yc9vqfZxtXw5pia2fb9gEhxBkhxLIQYgXAnyCc5rdVm4moCE8AflUI8V/8w23/vE3tbtZn3ozC/x8B7CCibUTUBeADAL7R4DrVBCLqI6IB+X8AtwM4Da+99/qn3QvgqcbUsObY2vkNAB/xvUCuB3BBmgtaHc2W/V54zxvw2vwBIuomom0AdgD4br3rlwdERAD+PYAXhRD/RvmqrZ+3rd1N+8wbvUJuWTU/Dm+l/BUADzW6PjVs5xXwVvu/D+B52VYAowCeAfBD/3Ok0XXNoa1/Dm/KuwhP4/morZ3wpsOP+s//OQCHG13/HNv8Z36bfgDv5V+vnP+Q3+aXABxrdP2raPc74ZkvfgDglP/veAc8b1u7m/KZc4QvwzBMB9KMZh+GYRimxrDwZxiG6UBY+DMMw3QgLPwZhmE6EBb+DMMwHQgLf4ZRIKJVRPSrCd9/J0MZM/nWimHyh4U/w0RZBSAm/InIBQAhxNG614hhakCh0RVgmCbjYQDbiegUvOCsGXiBWvsB7CKiGSFEv5+/5SkAwwCKAD4nhGjXSGymDeEgL4ZR8LMx/lchxB4i+jkAfwlgj/BS7kIR/gUAvUKIaSIaA/AsgB1CCCHPaVATGCYTrPkzTDLflYJfgwD8rp+FdQVeKt61AH5az8oxTKWw8GeYZC5Zjv8igNUADgkhFoloAkCpbrVimCrhBV+GiXIR3hZ8aQwBOOsL/ncB2FLbajFMvrDmzzAKQogpIvpf/qbrswDOWE79KoCniegkvOyN/6dedWSYPOAFX4ZhmA6EzT4MwzAdCAt/hmGYDoSFP8MwTAfCwp9hGKYDYeHPMAzTgbDwZxiG6UBY+DMMw3QgLPwZhmE6kP8PnNrJLihrGpwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='trial', y='RPE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "omegas = df['omega']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "alloms = np.concatenate(np.array(df['omega'])).reshape(ag.env.nr_states, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1a1e36d6a0>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(alloms[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='trial', y='omega_dls')\n",
    "plt.ylim([0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "omg0 = [df['omega'][i][0] for i in range(272)]\n",
    "omg1 = [df['omega'][i][1] for i in range(272)]\n",
    "omg2 = [df['omega'][i][2] for i in range(272)]\n",
    "omg3 = [df['omega'][i][3] for i in range(272)]\n",
    "omg4 = [df['omega'][i][4] for i in range(272)]\n",
    "omg5 = [df['omega'][i][5] for i in range(272)]\n",
    "omg6 = [df['omega'][i][6] for i in range(272)]\n",
    "omg7 = [df['omega'][i][7] for i in range(272)]\n",
    "omg8 = [df['omega'][i][8] for i in range(272)]\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1a1df376a0>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(omg0)\n",
    "plt.plot(omg1)\n",
    "plt.plot(omg2)\n",
    "plt.plot(omg3)\n",
    "plt.plot(omg4)\n",
    "plt.plot(omg5)\n",
    "plt.plot(omg6)\n",
    "plt.plot(omg7)\n",
    "plt.plot(omg8)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "alloms = np.concatenate([omg0, omg1, omg2, omg3, omg4, omg5, omg6, omg7, omg8]).reshape( -1, len(omg0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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I0asGVXKfnWkWTq3YV2YemP5dcDXDvo99GJUQQvS+QZXcM+LDSI8NZcU+T+mDIadAZIokdyGE5Qyq5K6UYnZmAqtzynG63KAUZF4AuZ/D6segphCKtpmfQgjhxwZVcgfTNVPrcLK1oMo8MOZicNTAxz+DJ2fDU2ebf4VbfBuoEEL0wKBL7jNHxROg4Ku9nn73MZfAglfhpncgKBQmXQ2BIfDytTLQKoTwW4MuuceE2Tk1PeZov3tAAIy7FEadC/dth2v+Dje8AY5aeHsJaN35DoUQYgAadMkd4OzMBLYWVFPd2HLsE8pT3Th5Alz0O9j/Oax5HIq29n+QQgjRA4Myuc/KTMTl1qzJLT/xRtNug2EzTV/8U2dD9rv9F6AQQvTQoEzuU4bFEG63He2a6UhAAFzzHMx/HNKmwbv3HL32au7nUnRMCDGgDcrkHmQL4MxRCXy1rxTdWZ96VApMudEkeYB/3mb64l+7AZZ+r3+CFUKIbhiUyR3g/PFJ5Fc0sulQVdcbx2bA/L/C4Y3wz8WmJs2h1VCWA446OLK9z+MVQoiTMWiT+xWnpRIZHMhLaw969wsT5kP6dNi3zEyVVDZY9zS8eQs8OQuW/9q7mTX15fCvu2QevRCiTw3a5B4eHMjV09J5f1sRFfXN3v3SjDvMz5Fz4LSF5mpOOZ9Aymmw8s+Qt6Lz39ca/nUnbHkJXpwPJbt6cghCCHFCgza5A1wzLZ1ml5tlO4949wvj58HYy+D078AVj8AZd8DEb8GtH0JoHCx/EB6dCqv/2nErfvf7puU/6/tgC4Kl98DaJ2HH28dupzXseAt2/RucXn7xCCFEG4G+DsCXJqZGMTw+jA+2F7Fw+rCuf8EWBAtfOXr/kj8cvT31Zlj1CASGwsc/B3sEZN167O9vfwPCE2HuzyE+E979DyhYDwFBEDcSUieb7fJWmsFbMGcIVz15fCxVh2DZf8LsH0DqlJM7cCGE5Q3qlrtSiktPSWF1bjmV3nbNnMiZd0PWYrjra5O4d79/7PNNNbB3GUy4EmyBJmlPvdkk+ogkePcus03u56ZKZUCQKUm89VXY+c6x+2ppgjduNi37l689OkVTCCE8BnXLHeCKU1N54otc3tl8mNtmjej+jiIS4fI/m9uj5sLml0yXSqDddLOsegScTXDKNWabgACY91dzOzrN9MX//QIo3Q3BUTBsBlz4W9Oy/+dt0NwAU75ttt/wdyjcDBf8FlY8ZJ6fdA3sfg/C4iBjNpTnwEX/bb5IhOgPLqfnrDXcdFlGJPo6okFtULfcASakRjFteCwvrsnD7e6lOjIj53imS64BtxvWPwsr/gSnLoChZxy//aSrITzJJHZlM1UqR58PgcFwy3sw5FRY8xjses/MzlnzOAyfBWd9D6541EzRXPZTMwc/5zP48MdmJs/WV45/LSH6yv4v4OsnTIPjvft8Hc2gN+iTO8CimRnklTfwcbaXA6tdyZgFKgBenAevXGcS87Az4conjtavaSswGM75sUn81/zdTLUcd5l5zh4OE+ZBSTYs/5Xpoqk5DGfda56feCVc9TQs+jfcsQLuXg+Ll0P66fDF/0BLY+8ckxBdyf4X2CNNF+Xu96Fif8/3uecjOLS25/sZhFSnKzT7UFZWlt6wYYNPXru9Fpebyx9dSXVjCx/ffzZRIUE93+mqv0DeKjM7BuBbz8Kp13r3uy7nsd0p+etMlw2YvvqUyXDGdzv+omiVtxKevwxm3Q/n/6p7xyBEV3I+Nd2BF/0X/Hk8jL4ALvgNPHIKjL0YwuJNgh4115TyCLB5v+/NL5tJBwAz74ELf9c3x+BnlFIbtdZZXW0nLXdMOYI/XnMqJbVN/PXTXqoZc9a9sOBlSBgLobEw/grvf7d9P3nqFAgKP7rfGXd0ntjBnD1M/jasflTq4Ii+cWitKcWx4Tl4/SZorISJV5myHef9wgz4b3zezATb+iqsfQIen2FWdH/wI9j9wYn3XZYD//6e6eKccpOZXpz7GZTnwuf/JVOEvSAt9zbufW0zy7OLWf3T84gO7YXWO0DlQWiqhpRTe7afVxZARS7cta7rxN6q9gj8aSyc9yuYfX/PXl+ItrSGp+dAY4WZAFC8w3Q93vKBmSwAJrm7mmHcFaZV3+C5QE5kCtQWQUAg3PA6RKVDdYGZDPDlH2H+Y/Du3ebs83ubzP6fPAua6yEsAYq3w7zHYOpNPT+G6nyIHur939QAIC33blhy9kjqm128sDqv93YaO7zniR3gyr+ZfvWT+RBGDoGkiXDgy56/vhBt5a2Eoi2m2++i30P8aLjiL0cTO5iz1UlXmxljkxeaxxLHm8Q+5BTTol/+a/j3vfDq9fCv/4C9H8Lzl5ufZ//ATBMOCoHrXjSzzYq3mwWDq/5iJit0h9tlxgPeu890Hz05y5wR5K00DSKLkHlybUxMjeaiick89nkOl54yhNFJkb4O6aiwuO793shzzGlzS5P5IxHiZDgdplsvIdMM/APkrzddJmEJcNoCc3nKezZ2vp+z7jPbT7kJ3v4OnPOAuQjOhz86uk3pLrNGpHQXZF4EZ95z9Lnkieas4PAGs0Dwn7eayQpXP2vOAILCjv1iOZFtb8KnvzYtdjBjWHs+gFeuN9OHR8w2jSgLkG6Zdkpqm7jo4a8YkRDOW3fORPnR6VqH9nxkWkU3L4Wk8eYPNCS689+pPgzaDTFDu/+6RVvNatyweM/pdCdfTsU7AWWugCUGjoOr4dUFplsxKNysszjrPtPStUfAVU+YsZ3uaqiAh8YA2gzC7l0G171gZtpMuBKCIzr+Pa3N9OIPf2wWDu75EKLT4ca3jv8dt8usMQmNM63yL/9grs8w9SZzFjHsDNj4gvmystlNN9KSL4+uFu8Nbjc0lPfavH9vu2UkuXfg9fWH+Mlb23l04RTmnZbq63B6xlELfxpn/ggLN5vHrnvRLJJqq7EKPvyJScZbXgJbMNy5unsfyMYqeHiiaW0FhZkCafdsgOBIkyjeuRPGXmJOz3e/b07vQ2Lg/mwz9VP0n+Z6M0B51n3Hv9ev32gGTS/4DRxYYcpnBEeagdPFn8DQ6T1//WU/Mwn4kv85+d9981bY6anLpAJMnadr/n78/tc8dvR+5kXm89/2LLZ1LcrQ6aZLKDjSXMfhnB+bkiMnQ2so3QMxw8AeZu6/e7dZczLrfph1n9l/D0hy7wGXW3PFX1dS1dDMZz+cQ0jQSUzfGoiW/9pUrUSZwaPGSljyOcSNMvPnl/3UzE6oLzF/aDHDTCtn1Llww2sn/3qrHzOXJ2xrzk9hzgPHTm8DGDoD0qbC2r/BJf8LZyzp0aGKk7Tmb+b9bz9ltqUR/jgSJt8Al/3JPLb5JVMmY/gsuPX9jvfXnwo3m0HdsZdC/ChzLPfvgshkk7A/fdD0zZ9+O0xfYpJtdHrn+9y3HL5+0lR7HTkXbnrH+3Guws2mGOCR7Wa8YfT5sOUVyP/aVI4t2grB0TD+cjh9sTmD6AZvk7v0uXfAFqD4xeUTWPjMWp5dsZ+7z830dUg9M/Me2PSiqUk/+3546hx4LMsUOQuwmdZ16hSYebe5MElwlNn+k1+Yecyjzzt2f7XFsPcjMyA2Yvaxz7mcZnVs+ulQU2RaVEMmwVcPmS+Owk3mC2bOT82gWutgc8F6k+BPX3xyc6FF97ldZkUpmMQ99z+PtlRzPzOrrFsX04FpzQaFdTsp9brUKXDdP0yL21FnpktufcVUXd3wd5PYs24zBf68/Uxlnm/+rXzELBosWN/1GYrbDav/Ap/9DiKSzXTQne+Y2UKJ48305fMeNMl/3dNmpfnIOX3+/ygt904seXEDK3PK+OKHc0iK8vPBSEet6SdVyvRx73zHdJ/UHTE1auLa1dVxOuCx083vLPnCzHgAqCuFJ86E+lKzkva2Zcf2T7a27q5/2fTxK2W6XD78iTmtB7OC8aLfH/t6O/8Fby6C6186uTUBg52j1pyJtTSaVmnbbi2tTYJufayhwqxuzltpSgWU7oHKAzD5RtMVd8VfzNlc5BDzZbz3Q/hR7sl3TfjK/11quvpuW2YaLymnmbGm7oybOWrhobEw6Sqz+KotV4sZhA0KN18Eq/4Cn/zSjBNc8Yh5/NnzTBfnDa8fHYhu5WwG9PGPe0m6ZXpBXlk9Fzz8JVdNSeOP15zm63D63+73zSKV02+Hyx4yH8o3bjatuutfgve+b6anfespcwrqbIbHppnBqyVfHP9HteovpiTCbR+ZP7y23C54dIqZA714WX8doXfqyyA8wddRHKu+HP55i0nU2jMlMPNC877s+8ScIW193STzuT8zpaH/NgPK9phtE8dB7AjzRXrq9aZUxsFV5rn40ebsbOL84xPbQLb1NXjnu6ZFXLQV7lwDiWO6v79374Id78AP9xztJ3e74YXLj/5fjb/CdOWMmgsLXjn6mXc5zdlCH0zI6NV57kqpi5VSe5RSOUqpBzp4/n6lVLZSaptS6lOl1PDuBD3QZCSEc8vMDN7cWMDq3DJfh9P/xl1munTWPwMrH4b/u8S05i74DYy50PRHRiTBqwtNq3DzP0yd+XN/0fGH+qx74YFDxyd2MH8IZ9wB+WvhyI6+P7b2tIaCjeaUue1c5+UPwv+OMtUO3a7+j+tEPv6Zmc0y+wdmQc+kayBnObz2bXj927Diz2ZAe8xF8Pnv4M2bTWI/+8dmNshdX5vxlCnfNiuiv/2mKUE96WozJbC51uzTn4yfZ/q0D280x9KTxA4wdRG01B8tuV24GTY9bxL7Bb814xQHVpgW+KX/e+xn3hbo84VRXbbclVI2YC9wAVAArAcWaq2z22wzF/haa92glLoTmKO1vr6z/fpDyx2g3uHkisdWUtvk5M3vnklGwiCbzeFywj+uNJcQDI4yZYonXnn0+YKN8Oy5cPkjZnVhzFBzWtydD3Z9OfxpDMy4s3/riDhqzRdU62USQ+NMUixYbxJd0kQo2QmXPmTGC1Inm66L/lZbbGaHHN5kurhm/9As8wfT1fbETHM7a7HpPw9PMO/fm4tM/ZeYYXDP5s7LQLucpkujuR5+sNv/xj8+/IkZL7pnI0T1cKab1uZsJ9hTDO3NRebxxHFmJlmAzWzjdvVrae1e65ZRSp0JPKi1vshz/6cAWuv/PsH2U4DHtNZndbZff0nuALuP1HD9U2txa82TN07jrNED7BS9r9WXmS6VabeYWQltud3wyCTTcnc2wqL3jh9kPRmvLDBTI+/6uuv5+N2142048JVZPbzhObP8PX+tKX415FSzcrH6sDnVTplsBuheuMLE1dIAw2bCrR/0f8vsw5+YmRz2CNOqPO+XR6f0tSai8ly4b9uxic3pMGcemRdC5gVdv07JLnOcA2Xg9GS0NJkyB13NivHWNzO/lPn/yLzAfPH78OpnvZncrwEu1lp/x3P/JuAMrfXdJ9j+MeCI1vq4ppdSagmwBGDYsGHTDh482OWBDBT5FQ0sfmE9eWUNPLpwMhdPSvF1SAPHBz82FwufcpOpC9ITrf38ygZn/xDO+Unvth6z3zU18Vv7qSOSoa7YdFec65m+qbVZzNJ2wCtvFTx/qWm5V+fDtc+bWRH96bmLTSvxto86/j858JVp3XtbfVR0zdViGgB1JaYSa0SSryPq1eR+LXBRu+Q+XWt9Twfb3gjcDZyjtXZ0tl9/arm3qmpo5rbn17Mlv4r/uuoUFnhz3dXBoGyf6eO95A8QEtXz/eWtMtUEt79hprJd/rBZNl6xH+b8pHv7rCk0s3sen24S9PzHzRz/CVeaFnnq1K6XrxdtNYONz5xrZpB8d0X/td7dbvifYWa5/2UP9c9rigGpN+e5FwBt16GnA4UdvOD5wM/wIrH7q5gwOy995wzufGkTD7y9ndJaB3fMGYXWYA8cxDXYEjLNUvTeknEWDJ9p+rVXPwppWebqPhX7TTnZkXNPrjTC5pdNV0tgiLnK1XUvmlIHreUO0rv8OzFaB4KnL4H374eCDTD09JM7tu6qOmgGOYdM6p/XE37Pm4y0HshUSo1QStmBBcDStht4+tmfAuZprUt6P8yBI8weyDM3Z3Hl5FT+9MleTnlwGdN++wmrcwbhbJq+pBSc/6Dp5/zkFyaxB4aYFYCPTvH+ouCbXjS/YHWPAAASjUlEQVQrYtOmma6M0eebL46eOPU60++9od1Sd5ezZ/vtzJHt5ueQU/ruNYSldJnctdZOTFfLMmAX8IbWeqdS6jdKqXmezf4XiADeVEptUUotPcHuLMEeGMDD10/mt1dOYv5paaTEhHDL/63nox3WKRc6ILROj2woN/e/s9zM1tFu0w/alQNfwb/vg1HnmcUs9+0w88B7KjjSzA3f8bYZSAYzffO/0yC7jz76R7ab1b5JUlxNeMervgSt9Qda6zFa61Fa6997Hvul1nqp5/b5WutkrfVkz795ne/R/ymluGnGcP5wzam88d0zmZgWxX+8vJE31uf7OjRrmTDflIodcqpptU692RQd2/QPMzPiRGqL4a3vmBIJ171gVtgGR5jytL3h9MXgcsCWl839XUvNgq537zLL0Mtzu7ffI9tNTZfWlnqrg6vMUvbeil9Y3iDuKO49MWF2Xv7OGZw1OoEfv7WNa55YTdbvljPvsZV8uquYktomtuRX+TpM/xQYDDe8AVc9efSx6bebKwC1Li5p5XabhN9UDS9dbeavX/t8j6vwdSh5oil6tvIRU6o2Z7mpRR6VCiv+ZAZdC7oxYWDnO+ZMZU2blaHVBSa5t11fIEQXpPxAL3I4XTz95X4+2nmEYXFh7DlSy/6yeoIDA3A43Sw6czga82Vw04zhJEZ2r7bEoKe1mfUSHAm3f2YuHlFbCJ/93tRRGTnH1PD+9pumj72vFGfDW4vNrBuAOf9pZvNU5pl58QFBZr6+LcicSWx/w5Ry6OyiKU/OMq12mx3u224GlVuLWN2z6fh1BqJbXG5NXnk9kcGBflc3SmrLDADNTjePLN9LQWUjLrfm/e1FRAQH0tDsZEhUCM8symJiah8t1LG6r58yF2u48S149QbTRRIQCG6nqXY5YrZJ7l6qrG/mt+9lMyopgsWzRtDicvPZ7hLK6pqZnZmA3RbA8PgwNudXMSwujIQIzxdzSxO8cq3p37/9c1O+GMwFJF5dYMrlZi2Gl681ZWQzLzIXTu+oGFfrNW+n3ATbXoeY4TDvUdO9FJVqxhxEt+04XE1RdRM1jS08/dV+9hTXAjBteCw/umgsM0bGn/Q+6x1ONh2qpMXlZmhsGKMSIwgIMNNjtdbUNDoprWuixaXJTIog0NbzzhJJ7gOM1prKhhZiw4LYWVjD7S9uoKqhhSunpHLeuGTOn5CM1pqqhhZiwoK6fQWoktomGptdhNkDWbu/nLhwO6cNjSEieGBUd252ulmVW8bk9BgCAhQPf7KXVTllxIXb+cGFY5k+wsvLCTbVwMOeaYGOavjWs2Za4pOzzXTHa1/wqhujsr6ZXy3dyercciobmnG5NSMTwmlxu8mvaDxm26zhsWw4WElChJ1Hrp/CrEzPSuXmBjiynebU0/k4+wizRicQbAsg5OUrUKW7TZnlj39uziJylh9bFbN13CAo5GhFzTtWma6lN24yXTQ2uynp0PrFMUBprQfslcueXbGf//pgF25PuhuZEM6ts0ZQ29TCy2sPcbiqkVGJ4ZyWHsM5YxO5ZFIK9sAAthdUszKnjBEJ4Xy6q5ixQyK5cMIQah0t/GvzYV5bn09t09FZUgkRwUxIjaKwqpFD5Q00u45e5zUkKIChsWEMjQvj5jOHM2ds9xZESXIf4EpqmvjhP7exNb+K6sYW5k9OZX9pPdsPV5MQYee6rKGMSAhnb3EtZXXNjEmOZGJqFHnl9QQoRUZ8OCkxIRRVNeHWmrhwO3/4aDcr9h0/JTMwQDF5aAzXZQ3l6mnp2AL67w/Q6XLz9Ir9bMir5JS0aN7bVkhuqTkddro1DqeLuWOTyC6qoai6iUVnDmdIdCi7j9RgtwWQmRzBlGGxTEqNJtTeblXmZ7+Hr/6II+k0mm79lOjQIHPlnR1vwb1bv1lh2tTiYl9xHRkJYThd5gxqe0E19sAASmsdLN9VzAUTklly9kjqHE5+8s9tuLTmz9dNJj02lHUHKsgtrefJL3M5f3wSB8sbyCmt477zxrBg+lD+vbWQHYer2ZxfxcHyBtJiQqlpbOHs2DIeq7kX5W6BjNlw07/MhTHWPW1KGCSNM7NrwhPhtg/NhaLz15srUillVkV+8d/o4bNYGXI2jc0u0mJDWZNbzsLpwwj3fGGX1DQRE2bvs7UWTpebHYU1pMWEdtiVWFrr4HfvZ/PB9iKGxYVRXt9MWkwoceF2YsPsXD0tnbMzE/os8Vc3tpBXVk+zy43brSmobORgeT2RIUHUOpxUNTTz4pqDXDJpCLeeNYIgm/l7aI2nsdnFi2vyWHeggq0FVZTVNZMQEUxabChb24yVhQbZaGw5WjzOFqC49JQUrp2WTkRIIPtL61mVU8aeI7UkRwUzZkgkSZEhJEYGo7VmW0E1+RUN5Fc2cs+5o7n0lO6tcpfk7iccThe/encnH2cXExduZ95pqWw/XM3yXcXfLI5KjAjmcFVjl/uy2wK459zRxITbKa11cO64JGqbWliTW85nu0vYfaSWxMhgrp6azremprG3uJYth6p4a1MBsWF2HE43ceF2RiWG09DsoqHZxanp0cSF25k5KoHxKZEd/oHWO5y8vj6frw+UU9PoZHxKFLMzEzhjZBz3vraFT7KLSYgIpqzOwcTUKBbNzGBtbjlRoUFcMy2dSWnRNDa7+NXSHbyxoQCA1OgQnG5NSa1ZD2cLUJyaHs3E1CjyKxqpqG9m7vBAluy6jV/Ufosvg89hYmoUOUVVOBwNREXFsGhmBhNSoljyj41UN7aQHBVMU4ub6sYWEiKCqWlqodnp5nvnjub+C8d+czxNLS605rgvk+KaJhIjgmlyuvj5Ozt4e/NhbAEKl1uTGh3CsPgwLp44hCe+zGVUYgRb8qu4NWg5C5ILeDzye6w81MRDV41jxsGnTEXH4h3UR2cSUpFNVfxUoquy2RY9lzuqF3HZqSmEBNmICQ3i3S2FZBfVHBNLYmQwcWF2qhtbOFLTREZ8GAunDyMpKpjRiZHUOZzMGBl30gk1t7SO4uomckvryCtvICY0iNfW53/z+RubHMmccYlcMD6ZqcNi2VNcy10vb6KwupH5p6VRWucgMSKYA2X1OJwu8ivNezVlWAw/9JyZvbPpMA6Xm7ljE0mPDfvmtR1OFxvzKjltaAwHyuoZkxzJp7uKiQoNYlRiBDsOVxNqt5GZFMFr6/OZNjyWZ1fs56t9Zbjcneexeael8vD1k7ts2Ljdmq/2lfLimoMUVjVyXdZQLpo0hH3FtWRlxFFQ2cDW/CpCgmzMGBlPsg/66yW5+7nK+maqG1tIjQnFHhjA7iM1lNQ4GJcSidNlBoMKq5pIiwkl0KY4VN7AxLQoxg3pePm/1ppPsot5e9NhPtp5dD6+UnDxxCEoBcGBNsrqHOSU1BFkCyDMbmP3kdpvtk2NDuGqqWnEhtkZnRTB6RlxbD9czYNLd7L7SC0Z8WHEhNnJLqqh2enGHhhAs9PNzy8bz+JZI6hqaCE23N7pcdc5nLi1JirE9EmX1TnYcqiKTYcqWbGvjIPl9QyLDyPcHujp69SMT4kiNiyIivpmTkmLJjbczpZDVazLM3PQ02ND+f75Y3h25QGiQgL5xeUTPGdBDXySfYRFMzMIDjy5+jVaa55fncf2w9XcPXc0IxMjjnlOKUV2YQ2LX1hPUXUToUE24jxfug/Om0h2UTWb8irJPlLLdbbP+WPQMwDc0XIfFcMuZt2Bim++ONJiQvn+BWMIDgzgUEUDE1KieGXdIQIUhAcHMioxglfXHaKg8tgGwOzMBM4YEUdSVAjnjEkkOSqEeoeTFpebf28r4vlVB4gODSIpMoT02FBC7Tae/DKXFpfJCUE2RYtLM2NkHNdlDaW01sFX+0pZd6Dim20AIoMDee7W0zk94/gutWanm7c2FfDop/soqm4iJTqEomrTFWUPDGDxrBFU1DVTUNVASKCNT3eXoJQZMx8eH8bB8obj9tn6uQKIDAnk5jOHM3loLCFBASgUyVHBjEgIp77ZRbjdRmVDCwkR9gHbZXSyJLmLE9p8qJLsohqmDI0lJTqk04Srtaa0zsEXu0v5cEcRX+wtpf1HJjIkkMdumMo5Y8wFlptaXKzdX87SLYUMjw/n3vP75jKF1Y0trMktY8bIeGLCjj+GdQcqWLr1MLfPHsnweN+Uaq5pauFAaT2ZyRE0O90seXEj6/IqsNsCOH1ELHPHJnHh+GRi3r2RiMMrKb0jm+SkRCrrm4kICaSqoYXo0KAuu1xcbk19s5PckjoKKhsprmniiS9yKa9vBkzX3BBPYm1t5ZqxGBvFNQ4KKhtoanEzY2Qcd84ZTWxYEGOSI6mobyY15ti59bVNLXy2u4TckjriI4K54rRU4rr40nY4Xfzfqjxe+foQ956XydThsfz1033fnP2EBAZQ3+ziO7NGEBCgiA+385dP93He+GSmj4ijprGFM0fFs72gmk93l3DnOaPYWVjNxZOGHNP6HwwkuYs+UVZnuklW5ZR5BqEimDkqnsgQP7kUm481tbh4+etDzB2beExrH0edqR+TPLHXXy+/ooG3Nx+muLqJlJgQwoMDCQm0sWhmxjfdFG0H/PuzhZtdWINSEG4PJLuo+phqq43NLtMat0iLu7dIchdCCAvq1cvsCSGE8C+S3IUQwoIkuQshhAVJchdCCAuS5C6EEBYkyV0IISxIkrsQQliQJHchhLAgSe5CCGFBktyFEMKCJLkLIYQFSXIXQggLkuQuhBAWJMldCCEsSJK7EEJYkCR3IYSwIEnuQghhQZLchRDCgiS5CyGEBUlyF0IIC5LkLoQQFiTJXQghLEiSuxBCWJAkdyGEsCBJ7kIIYUFeJXel1MVKqT1KqRyl1AMdPB+slHrd8/zXSqmM3g5UCCGE97pM7kopG/A4cAkwAViolJrQbrPFQKXWejTwMPCH3g5UCCGE97xpuU8HcrTW+7XWzcBrwPx228wHXvDc/idwnlJK9V6YQgghTkagF9ukAflt7hcAZ5xoG621UylVDcQDZW03UkotAZZ47tYppfZ0J2ggof2+LcbqxwfWP0Y5Pv82kI9vuDcbeZPcO2qB625sg9b6aeBpL16z84CU2qC1zurpfgYqqx8fWP8Y5fj8mxWOz5tumQJgaJv76UDhibZRSgUC0UBFbwQohBDi5HmT3NcDmUqpEUopO7AAWNpum6XAIs/ta4DPtNbHtdyFEEL0jy67ZTx96HcDywAb8JzWeqdS6jfABq31UuDvwD+UUjmYFvuCvgyaXujaGeCsfnxg/WOU4/Nvfn98ShrYQghhPbJCVQghLEiSuxBCWJDfJfeuSiH4I6VUnlJqu1Jqi1Jqg+exOKXUJ0qpfZ6fsb6O01tKqeeUUiVKqR1tHuvweJTxqOf93KaUmuq7yL1zguN7UCl12PMeblFKXdrmuZ96jm+PUuoi30TtPaXUUKXU50qpXUqpnUqpez2PW+I97OT4LPMeAqC19pt/mAHdXGAkYAe2AhN8HVcvHFcekNDusT8CD3huPwD8wddxnsTxnA1MBXZ0dTzApcCHmLUSM4CvfR1/N4/vQeCHHWw7wfM5DQZGeD6/Nl8fQxfHlwJM9dyOBPZ6jsMS72Enx2eZ91Br7Xctd29KIVhF25IOLwBX+jCWk6K1/orj1zmc6HjmAy9qYy0Qo5RK6Z9Iu+cEx3ci84HXtNYOrfUBIAfzOR6wtNZFWutNntu1wC7MKnRLvIedHN+J+N17CP7XLdNRKYTO3hR/oYGPlVIbPSUaAJK11kVgPoxAks+i6x0nOh4rvad3e7olnmvTjebXx+ep8DoF+BoLvoftjg8s9B76W3L3qsyBHzpLaz0VU3nzLqXU2b4OqB9Z5T19AhgFTAaKgD95Hvfb41NKRQBvAfdprWs627SDxwb8MXZwfJZ6D/0tuXtTCsHvaK0LPT9LgHcwp3zFrae2np8lvouwV5zoeCzxnmqti7XWLq21G3iGo6ftfnl8SqkgTOJ7WWv9tudhy7yHHR2f1d5Df0vu3pRC8CtKqXClVGTrbeBCYAfHlnRYBLzrmwh7zYmOZylws2fGxQyguvXU35+062O+CvMegjm+Bcpc0GYEkAms6+/4ToanXPffgV1a6z+3ecoS7+GJjs9K7yHgX7Nl9NGR+b2YEeuf+TqeXjiekZiR+K3AztZjwpRM/hTY5/kZ5+tYT+KYXsWc1rZgWj2LT3Q8mFPexz3v53Ygy9fxd/P4/uGJfxsmGaS02f5nnuPbA1zi6/i9OL5ZmG6HbcAWz79LrfIednJ8lnkPtdZSfkAIIazI37plhBBCeEGSuxBCWJAkdyGEsCBJ7kIIYUGS3IUQwoIkuQshhAVJchdCCAv6f6A4I3TN9sfpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(alloms.mean(axis=0))\n",
    "plt.plot(df['omega_dls'])\n",
    "plt.ylim([0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}