test2_data_prep.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test Data Preparation and Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.signal import butter\n",
    "from hampel import hampel\n",
    "from tqdm.notebook import trange, tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>t[s]</th>\n",
       "      <th>emg1</th>\n",
       "      <th>emg2</th>\n",
       "      <th>emg3</th>\n",
       "      <th>emg4</th>\n",
       "      <th>emg5</th>\n",
       "      <th>emg6</th>\n",
       "      <th>emg7</th>\n",
       "      <th>emg8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000466</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000931</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.001397</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.001862</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430669</th>\n",
       "      <td>200.483845</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430670</th>\n",
       "      <td>200.484310</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430671</th>\n",
       "      <td>200.484776</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430672</th>\n",
       "      <td>200.485241</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430673</th>\n",
       "      <td>200.485707</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>430674 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              t[s]  emg1  emg2  emg3  emg4  emg5  emg6  emg7  emg8\n",
       "0         0.000000   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "1         0.000466   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "2         0.000931   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "3         0.001397   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "4         0.001862   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "...            ...   ...   ...   ...   ...   ...   ...   ...   ...\n",
       "430669  200.483845   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430670  200.484310   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430671  200.484776   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430672  200.485241   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430673  200.485707   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "\n",
       "[430674 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file = 'data_collection/test_2/prosup_200s.xlsx'\n",
    "df = pd.read_excel(file)\n",
    "emg_labels = ['emg1','emg2','emg3','emg4','emg5','emg6','emg7','emg8']\n",
    "df.columns = ['t[s]']+emg_labels\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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kZkbiAHKF1/vMwFtYZS15RcNG6u9fzHU7jCp4SzOPhBMA+NT6bbsr/r2rtMzFSPxl/MJ1GjsvesJpw7bd2sQy9QAA5DSvVg+5VdXuZ7Feso+m/pa5QHIQCScAQE5Zu3VXzN/3uu8L9bh3dIaiAQAAThvxy/K0bNd4rOzJS33J4uXBgo27M2nT9j3aEzIoG/7+rdi0Q099Mz/TYeUUEk4AAACwbey8NSoaNpIebgAyqrTMijtoFPTI5/TryhS7Kbj97/o84u2vj1+sdTbf10T1uHe0rvnvlKi/31OSWsJu557SlB6fC0g4AYCHvDZ+sdshJMRb43y5hYr63DB1ifeal340tbxyYFLxepcjgdO+mrVK81f7szcfst+Do2apz/1fauP23fHvDF+Yt2qLbv9ouq57a2ranmP0zFVpqwPbwGcxLhJOAOAh701e5nYIADzktH/9mPI2pi7ZoLtHzKDvB+K67JVJGvTYGLfDACIKroDq1+bvbu6Dd5d4s9fn7sB0t/Xb0vueBqfVlTn8HnBYjY+EEwB4SbJHLhcOeLtKSnX5a5Mz/8QpMtRlwSMy1QrkjGd+1Ms/FquME2MA8L3QU0W7p433j8ztVU//M3aRJGnhmspTwf89ZoEb4eQUEk4A4CHLNuxwOwTb/Nq/5Zs5q90OwRHZ8nfAf7zUpBZA7slUVYlXq1eS2QfPWrE5DZGUCw6eePTlklR5ZedQ//1pSYYjyT0knADAQ5wu9UVV2dJ3ZsqSjW6HEJFfpzogcV5brQmA/0z/bZPt+3phl5NKCNl7hlf+qnh52na6IvPuX+wdJJwAAIBjbn5vmtshIIpjH/vO7RAAQJK0Zecerdq8Uyf98/ukt7GrpFSrt+y0ff+7R8zQn202p962q0R/eHVSsqF5zsTiDVGrfNyyeecerd6SntXpwnk5GZbtCtwOAACQO35eulE92zZwNYbiddtdff5styZNSxtn0tezV2n/VvXVrF6NtD7Po6PnpnX7QcYYybK00KlpsJy3A0jRcY+P0YpN9pNFoYK7oOvenKrPZ6yy/biXfyyWJD1xbq+49/1l2caIt6/cnFzMToqUO7GzW166frsa1S50PJ5kHf3ot1q71VtJsESRyIqPCicAQMac+vQPbocAB2zdVaJin/bwiseyLF368iSd89x4t0OpsHLTTpV6sOO3B2a3APCpZJJN4fucRJJNTvlxwbqkH0tuojK/J5tgDwknAMgCNPHNHlt3lWjbrhK3w4jpgv/8pIGPfpvUYx8aNUtPfzPf2YAcFLwgKF7nnYTaoQ99pce/yEw1FAB43aTi9RXL3Oei8MTVpOL1emDkrPiPS1M8mdp+qJ8WrtMbSTb8Xrlpp4Z/OltlDgzkkESMjyl1AAB4yP53fS5JKh4+xOVIIrv4xQn6ZenGpB//7zELJUnXHNXRoYhyw5h5a3Tj8V3cDgMAXHfTe9M0f81Wt8PwBMuSznx2nKsxhDdzP/vf6Y8nWIX8zZzV+vfvDlJenv2a2+vfnqrxC9fr2G7NY9+RbJIjqHACACTFMKEmJ303d43bIaRVNp5ehn5TV2/ZmdCqUJFk42uE3LO7JHcrZLLB3JVb0rp9J85xPpm2XA+O2lt55FQ1uter2icsSm414Ctem6QXv1+U0GO+mLlK2/eUJvSYvd99b7+O2YKEEwAAEcxeudntECSVJ3jGzsvuJI8XZWs69ehHv0tpVahQXliiHEhWGdULvmN8ttO59o2pei5Q1euk0I+uz16SmD6fsUr3fjIz4u8Wr9uma9+Yol0lpdqZYIJJqvyaJfLNX7FpR8RBGsuytDLJpve5hoQTAAARDP7HWLdDkFQ+he3CFya4HUZWsCxLRcNGxr1PNtvq8f5gcMe4Bev0zqSlbocBRGVZFvuvFPn5+Hbbh9P1ybQV+vTXlep6x2cObTV+tu6wh76uGKQZPWOllm/cIUl6ffxiHfrQV5q5whuDk15GDycAyEKTitfrP2MX6V8X9E5oXjuQzez0Bw3exW8j6bE4/af4+aIFkZ33vHdWZUzFnASmWfEx9pd3Ji3Vmi273A4jJen4zHnpc5yJWFZuTr2qKNk4L39tsprWra6Jtw3SuIXlqxUuXOOdBUa8igonpN3qzTt12csTtWXnHrdDAaL6+Off1P3Oz1zv6ZDsRW74wfPy1ybrsxkrtWE7S876yW+BkTM/y5Y0jdf+Di9dVARlUU4OWeL4f4yxfd9/j1mQxkjgtC9nra70c7p3ienYvzkVs9cOB3tfKvuR/TB/bTpCqeTaN6ZU/DtS36tk3uNEkp7vUjUqiYQTJD32xVyd91z6Rrb+8dU8fTV7tT7+eXnangNI1X2fzNK23aXauMPdBE2qlQOjfl2R0gpiqGzaso0qGjZS81entzlpUP+Hv8nI86TDtsBUB5Kc2aGktEzrtvq7mgCI5R9fznM7hLjKyiw99OksrXagqsNLkunBkw28OHDghGQSN4lUI8ZjWZb+PnqOioaN1DkhK+R9Mm1FyH0ce7rKzx0jyTZmXvqTan5Awgl68qt5FWWBQO7KjrOAq/87RUOf/qHi53T+VblQ3TAikCj/ZnZmmnaX2pnz5SGhCdI7P54RuM2taJzh9/idcueIGTro/i+1Y3f0C8M9JZbembRUZT773AJ+MX7ROv37u4W66b1pbofiqKFP/RD/Thk2Zu4aPZ+GBt9pUakBtkMr31mWfpi/ttL+/MQnxurmKJ+9E54Yq6P//q0jz52q4rXb9c+v50uSfoqyQl6yTcOjCa5iyDlDfCScAEB7DxhOLIObCqf6xuRALgges26b96th7FQQBk/esymhmsx+bdSv5SPDkSoRgq/iM98t0N/em6YRv1DBDH+asmSD2yHEVBaY5V9S5u50f6fNWZV4dUu6L+wvenGCHhg1K71P4hCnkkyhPp+xShf85ye9Mq644raZKzbr7SjTwmat2Fylf5Gd9+i5MQu07y0jo65GJ0lzE/x82Flxck9p1e9QFh3mPY2EE9KOzC/8xO2LzPXbmI4E50Q6wYI9biefvSx4XF8bmHK3mR6NWWnd1l36bPpKt8NIq0c+mxP3Pis27dBGpgrnnPQcAdy9KIr17MHV1xav257QNjdt36PPZ6yyff8HR82Ou4DHcY+PqZimL5UvhPN9jJ5PkTYXPiV80uKQ5HLgILY9RgUvnEPCCRnj9oU8EEu8U4BMXLjPXpn80qoL12zT+5OXVbk9FxO+RcNG6pYPfq1ye2mZpVs/rHp7Nut026eZf1Kb+/p/fpX5/il2Kgi73O7UcsvO+vW3TWnZ7qTi9ZoQZQqCFHvfGHw1c3E/kwsue2WSrnx9cs4nWw576Gv1ffArTSper573jtamHSRYI1m0dlvW9ZryKi/tc2945+e0bHdXYBGfPaVlOvPZcXHuXdWN7/4S9XfBl++e/82IuY1flsU47gYOgKzaGh8JJ6TFntIybQ3JTANL129XiYerLYIHjEiXo78s3ahOt32qb+esjvBb56RS3fTAqFn6a8jBNV0J3p17SmP2dPGKNycsqXLbzOWb9cZPVW+HMxL9yP39i7mSpMXrtunHBR5srJlNgyQx/pYznx2ns/9d9WQ+1p8fPL12agowvGnp+vJKhxIXenR9N3eNioaNdLSxcCTjFq6zNaC0u6RMT349Xxu379HUDE7DS8fUqd0lZTr60W8dP6c56tFv1ffBrxzdZix2rvOnLtmgomEjNT1NCXsvcCrfkezufPUWZ5KM4dO3/zt+sSRp4/b4Cd5IiU4716FOzCog3xQfCSekxeWvTtL+d30e+IlvYq5buWmnjnz4Gz38efzSdbdFuoCaWFw++j9mbnoviv/9nfebVfZ94Evtd6c3K0DgTwMe+VbnP/9TRp4rHSOR4xeu064S7ydh0yG4uxz564rYd0RKJi9eX2l6Saa4efYWnMo3aXH06junPBVoNhzPmLnli0c8N2Zh3N5P4xeu0+9fmuDYQhBOTvFdsWmHFq7dpt+/NDFmFYj3JP5afjmrfKpXugcMI5m/emuV25w6BCWbKLHz/HaOk+kYJFqyvvJUvjcmLFHRsJH6S1gF1eYIFYaXvza5ym2bd0TfZ+6dFp58win4jaR1QXwknJAW38wpPyiH7rToh5G7gn0+vvfw8qDpOLG2LCuhkZ/v5jq/EprTo6Obd+49gCf7jf7fL8szNtq4fXeJ3pqwJOVEQzpGmbNNMFmbyOciUxcBi9Zu0+6SxE4K7fwdc1dt0bnPjdc9/4ve/NRP1m7dVeVCIvjdmVS8Xl/OjNynI9aUvHiKho3UDW//nPTjs926rbt0xjPjdL2Lr5Hd77RlWfrHl3PTXpXktLVbE1vw4McF63T6v36MeZ+r/ztF385Z4/npiO9FmIqf63rcM1rbdpXo76PnprSdk/45tuLfTk/D3JXg8cyORI7d0QaJLCnpVUvDz9NWbCo/fx4bdu3wr28X2NpeMo3pk/GkzYR1LiPhhLQqTrDxHLLH/NVbNX7hukq3efmSfe8qdc75709L1PeBrzRrRfK9mZLn3QTvn96cqpP++X1Gnuve/83UsA9+1Y8L1sW/cwTBCo6Pf16uH2M0rMReiUyzuv2j6WmMpNy6rbt01KPf6q4RiT2XnT8jWOo/L0Mntul2zr/H6fznf9L4heu0IWwaw5nPjtMfXp0kSVoQGLl3ai/z4dTfHNpS9gk2tZ25PP5xZOy8Ndq+27lKKDuJ+vcnL9NPgWP96i279I8v5+n4f4yJuMrU/NVbdM//Zniu58nHP3t3lcVh71ftO7hgzdaIq0e6ZeeeUhUNG+l2GI7ZtGOPpi3bpAnFqVXX7dyzNynU457RqYblqls//DXqezz9t8r7pqe+SS4Bk8m9gpuDiHNXbcm5PnAknHxo2YbtMbPHpWWW3pywxDP9cjx2XoEMGfTYdzr3ufGS/NEwvqKHU4xYX/xhUULbDFYKhC8bmxl88aS9I9fBkbJkzVi+Wef/JzPTvvzkGxemKSQqWJU3Lsmkox3JHOe8WFmwILCvCu67I1mybrtmBpLobvdw2rRjj2798Fdf9JVLtyXrtuvCFybopvemOb7tWO/zX9/9RecEPi+h34NICbJLXp6ol34o1tL1OxyPMRWxer3YSSa/NWFJ1CqpVI/Ev23c+1qt2bJLm7bv0TF//05/enNqilt2zioahdsW61iRyMIxoV/JxD5j8e8d6R52+1+u27pLj32RXGVYJo8m4UmyRN3ywTR9Mi25qeTHPT5G50Tom5jNSDj5TPHabTri/76JmT1+c8IS3fLBr3rh+8QujtNh9eadFfNj/ZB0cMrG7bu1YpO3TqhyzSs/Fuux0fZ7RgUvStMx9dONkZRU5qVnk5WBE+Eb3/0lqX3Qq+MWOxyRMzbZaKIZy66SUj03ZkHKAxPvTtqbNEnmm7NsQ3r3kxu379bKQLLRkrNp2PLVEMsv7hevT7ya1y+9U/717QL975e9FSBrQi6snWi4mop/fjVPb/y0RG9EWCTAbSWlZbrh7Z8jVvqkQzBpsiBC35hkOX3kqqgkTmBn4fag5bGPj4n5+8XrtmnYB7/q6v9OqXR7KmcSi9dt00H3faFlG/buV76fv1YHP/ClTv3XD5Lk64rbLTuTO365/VlwwtuTlkb93ewV9vcV6XgtnBhAeOmH4qQf66e3980J0d/HWEYF+h3O9tm041SRcPKZ5YEkRqxmbcEyvY0eKNc757nxFQ37csmhD32lwx76usrt23aVaPnG3E1EpaOM/vjHx+gvEXpb3DVihu151TOWh/QTinC8TfYgHExe2fmzP5jivWqHbBBa0p6MdPRJiMZuifW4Bes09OnUpiT++7uFenDU7Iir+bll+m+bVDRsZKWLrFT1ffArnfd8efXF4nXbE+4jNzHOlIpgRdCaLYn1gEnWorXb9G6MC5Z0eOH7RZWqKUYmOaqbDsFib69N0ZKkuau26sOpv+m6CJUov23ckfDn3M1Bu2SeOtb+zM7b5ZdBymDD4HXRKpyS+Gi+PXGp1m3bHXGq36K1eyumy8rKe2Yl2icqfGDtq1mrKi6EkxFtoG5XSamWBFprXP/WVI0IJK6P/vt3ST9XqHR+63dm7UIQ8b9YqexOvbInnrw4cytJJiI8MZ0rSDj5lL1VBtIfByKLdpF7znPjdPjwqomobLZtV4nWxam22bG7VMPen5ZUc805q7bogxT7f4SuJBI8yV29eaf+8eXc1C5kAtuys4XRM/yXmPX6Lmb+an+NIN09Yoat+533/PiE+uNFmm4UrIbY7uBUpOB3J9nrxGDyK7joRKIsy1L3Oz+rVM4f3ij8kpcn2t7ezj1lOuvZcRo9Y6V27C7Vyf/8Xr8us9fs3rKstCRBTnxirG56b1rC/VKivSeZqr5BZf2Gf60j/u8bt8NIq7si7M9WBxKzGwLH+sXrtnkmWZjqSlPBv+LBUbP0t/eSq6itss04r803c1brH1/Oi/haJ+KyVybp6v9OqagGDVq9ZWdKAwDD3v9V/R/5RuMWrNNHPy+vSL5mKkEvSR9OSe78cFKK/ZtSsW1XSUKv0cI1zlQ1Bj+z701elvQsjVS+z07uCtLRH7LDraMc32auIOHkM3am+5iKi1xvHMSDdpeUeWpk1A3JzBme/tsm3634EurEJ8fqohcnxLzP/SNn6q2JS/V4kvO+kzF23hp9Pbtqkmfeqq3aXVKma96Yon98OU8/L92Y9HN4YoA2jbuBS16yf/HuhlOe+sEb74FNyU4ziGfgo+m7sK18gujQq53kWecL3y/Stt2levKrec7EEfDI53N09X8n69ffNumBUfZWo7vj4+lqf4vzJ6c7HG4UvC1G7xokrrTMSnqFpmjSnY/5aeE6ffxz1Yvy1Vt2Ov7cwQTwXSNm6Kmv52nAI9/qdZu9YexI5fMcnmyxr/LI0nNjFuqdSalVLNtJVm3bXappgQS4nR5mQ54cW1EN3v+RyMeEQx/6qtLPfR/4Km5itHjtNm2L0Kj+0pcnViwGEKwyTVUyH8flSb6vT39jbyW0dDjhibE6+IEvbd9/fkLTaOO/ijv2lOqCKKvQjfgldoN9r1x5pmOxnlKH9+25pMDtAJCcWB/5YFJqp0tNNKONEj04apZ2lZSpSZ1Ddci+jTMclX8FV/MqHj7E5UiSs9hGJcZ/AyecqTZ2TsSFL5QnwcJf1zOeqbzUsRPHFzsjPl5LENvxmwenh4YmbZys3smEWI1rU7Fq8y7NXbVFnZvXTXlb6VyMItWKgHRN3563eqvmJdgX5/XxlS+iZ6/crG9mr9FVAztIcqbJ7o8L1urwDk1S3k6ivDTVqXidGwsyRNfh1lE6bN/GevPyQx17nYLHhnjbS/b5zonSIP6oR75Vfp6JuO3SMksbtu9WkzrVk4rh56UbKwZzpi7ZoAsP3afKfaIdNl8fv1gDOjfVhu27NbF4g87q00ZTl2xU6wY1Neix5KdqJfP6Fa/dpt+/FHtALVFzVm6pWCEy3qnDE4Hkup2zhxnLN2vG8s06Zr/mKUZY2cBHv1W9GpUvJz+a+pu+np3cghKfTV+pwfu3cCK0mLbvLlGtQm9eBi9Joieg0xaujbxvve7NqTqlR6uoj7Nzzo/cQ4WTzyRyQHwlwWa34ZnbHbvLm8ommtHtdNunEW8P9kLZtGOPRvyyPOVMcVkaRhJjWbxum47++7cZLQV209sTl1RqFJsJbqVcYp/UWUnXbSTS+yldo9j+S2Ol5u+jK1fJJZoocNP4hZVL+I/4v68dWwXuuJDGt2c+86NeHVec1HbCd7mREqXJXviu2rwrsM3sc8pTP+j/Pptd8bMTvbPOjzICnW5eWJBEKl8aPtmLWruSaYo+bmHl1RCT2bfv3FNakdCvaLQd40i0u6TM8Qb823aXVnwXw5/7oVGz1Of+L5OaBh/JTwvX2RrA2L67RLd/NF3nPjdepzz1g+77ZKau+e8UXfziBI2L0dvUjum/bdKFL/xUZRpuLA+OmlXxui9cu02bbVaplpVFn3J7/D/GVKwIluq+0LIsfTVrVaWBgmvecL6HTHDRlaDrI/TVDIp37n/l65N194gZEat2nJx++fyY1PZju0pK9bv//KTpv9mbZo3cFOs6yu1FNzKJhJNPTVi0XkXDRkZsypjsyX6HW0dV2nE+9sUcPThqtkb8klp/nHDvTl6m696cqld+LE5pO93u+kxH//1b2/cf9euKlOY5v/D9Ii1cs00jp+3deezcU6qnv5mf0AmKX9z8/q+eWnbXLWc8My6hqX5bdu6pOClK5KuYrovsHbtLU+5NkS52m2QnYmeMKUd+61ezbMMO3fc/e1O4EjFp8Yakm6mHH1++mLmqyu/mrkpuPxvcVrKVjqEXxXaXcM6U4DHCrX410ZrfO7EqUSas27qrSi+ZY0IaD6fjZf1l6Ub1vu+Liulm23eX6NnvFqho2Ehbx/xUXtpr35iifsO/lmVZmhRofrtk/faICZ5dJaW69cNf9cdXJyX0HIvXbYu72uWWQCJheVg/l9GB72roPvyVH4v1h1cSi0GSZJVXWR31yLeVbo70+gVzFaGvw8JA4/5UF3i46d1pGjtvrRauTf488cC7R1e5LVJSft9bR+kPr0zS9ghT0So91ubn+ouZqzRzedUpRF/PXq3LXpmkf33rzPSwtycuqbTPT4adPjgv/1isQY99F7cP45i5yfX7k6TSFHcaM5dv1vfz1+o2B3sFhX9Wpi6x1/g6kT8l1n39cTTIHr3v+8LtEDKGhJPP9bin6sHNjm27SnTV65P1S1h/muD0LWnviUasC5MhT45NeHWttYGVPNaErehhZw56qJ17ylS8brv+M3ahrbn3V/93SkorYwR30nf/b6Z+CCxH+/yYhXrk8zl6fbw3l073m0QOmr9t3KH3Jqe+sttDn86KO51ti82pTqs379QBd4/WM99VPrlzs8n/wEe/1e/+404lRDy97h2ta9+YotWbd+qK1yZp0449Ki2zbI8SJype83ovCi9rv+3DX12KJLLwwWonptwlW7kaeoF6axpfJ8uyPJfQcsJjo+e4HUJUfR74MmYvGaeWmH7m2wW6/aPyz87MQA+QcQvKK5a63fm5hn9aXqWWSK+gWMeX1Vt2Rqz4+HJWeeXWys07deO7v1TcPiXsAnT2ys3qcvtncY+Fa7fu0th5lS/OBzzyrQY/MSbKIypbFGV6Tai7RszQr0lUewQX/didwL4jLYfLJK62YyUV403p/mr2anW78/OY90lkqv3f3v+lym3B822nVv68+f3Kic3k+17Zc+ITlVdj9WT1awInb4kOTsda0czNlgbh146I7d/fudcPzCtIOGUhO83jRvyyXJ9OX6kHR82Ke9+nv5kfdRRhxvLN+ss7VQ9yiXpn0lLtd+dnSVUg3T9ylv7wavqbF4ce+N8JLEu9NTA6FVw+dd6qLVErLEJHtouGjdSQJ8dqno8qLizL0gMjZ9pepSnyNqT/jF0YY4Ul+wfufsO/rnQinqx/f7cwqWTP+m27q1x0BE8APp++UpJ3ep38tMi91VZiKbOkT6at0GWvTNLnM1bp9fGLdftH03Xg3aOTrhqM9Zp75f1IVmmZVdHvzC3Rpkw7Ksn3KbzvRToq+yyrfMpUpITW4nXbNGN55f3jpu179OP8vVN9PLIglyTp5H9+X+nY/uTX812MRnrph0VRp6zHe93eT3DgK5r/+2x2lf5bUtVEary3cen67bYWeen7wFd6+PPZUX8fPJZEM83m8fi858brwhcmyLIsTVmyoSKJZreaMJVdp2VZjn0XL3qhfPAkHf358gIHCKe+o6ExXvfm1IRXlnQylmSEnrM+/c38iPGfYDNhmaxEkpCZFl4d+vgXczU+bDptuE+nZ8fCSUOf/sHtEHzloU9nx7n2yX4knHwm0kE/fHQsdKQrlWaGwX3psg074q4ylohIB9DgkvCxkmWjZ6zUze9Ni/i7LSHzx+ev3pKW5UxD4674d0hvhS079+jYx8for1EScO+GrVoyY/lmHft48gfricXrK6rLnh+zMOVlUT+cukwTi9drT2lZxDnpu0rK9PzYRTr5qe9TOnm8f2T0JGekwobNO/do+KezdeTDX1fcFm8aQCRv/LREHW8dFXE0OZmCit73faGjHv220m0Vm0kis7E5DdPLnJTOyqNQHwVGu0vKkvuMpXsVkdfGFeuxDK6mGOrYx5Ov0JQiNyWf5mD/CSN3p2iFf4cuS2Z6Txw/LVpf6XgTasAj32rIk5VH5C99ZaLO92iF4a+/bXLtsyyVf1dDT8Dv+d/MimXTk+FUv7NwlqWKaW1B4dOXlq7fXulvWRpSUTJ/9daY5yT//m5hpQrv0Av9jx3qoxjsZVdSZun0f/2Y8KphoV/r4rXbbDc1Lho2Un9+62fbiepVm3dqeYTKjXcnLVXRsJGasmRj1MfGu9iPJy+ZCic7qTgr/spec1Zu0cs/LNKCsPO4VBdCuPn98sR4MqvmPRpS8fjI55GrHzckcS7mlnQl735ZtkmPfzFXT3w1T+dGacAftKc0dhAbt+9Jy/VLqJgR+H1UzsNe+qHY7RBcRcIpCzwVY1Ty2zmx5zdH2reMnbdGq7fsVHh6a+ee0or+NG40ybv8tcl6O1BZFMugx8bozGfHRf395p17Yl44L1izVaNnxB5VDKpoqGn2Tj38aVHkk54fUmxoGe6sZ8fpL+/8oh27S/XAqFk6+9/R/2Y7bnj7F5317Dg9OGpWpamVkfS5/0u9N3lZwid4ia7Etn13iQ68e7Se/W6Blq4vPwn9ZNpy9bg38lTSHbtLoyYt7/tkpkrKLO0qcW5kdHXIaPyWnXt0+r/KV7gLLze283fP8Xi1290jZkTsT+GE4DSM0AutZE8OJxXb63mQrDs+nqEnAysDOel8GxeAwV4lyXpsdNXkwshpKxzbny9Zv92RlfZsXcTZkEp/j1hCK5YiCf0czw5bmtlDBU6uC22iHmSnr9voGZGrsy95ydlK59BP4YSwKtHfvfCTxsxdozVbdmn+6i0R+7hc8J/y73SZpZjnJJL0zLd7z+OeH7uw4t9TYyRYwmO0I5jQT9Q/v55fUdUXnFZoVzDZYqdq9ZAHv9Lhgd5VQZbsXawFpyEmy+kKp6BlIQm0aOcnx/9jjO7+38wqicwZEfoyRWNZ0hNfztOHU1Or9vs8cP775oT459u+luIbHfrde8LmOcGtH8Se6n3P/2bG3VdIVc8xNyTZvP+K1ybpmzQvvIByXlzVOZO8uR4koop0Mj9rhf0Dkh0XvjBBrRvUVP2a1Srd3vWOzyRJj5x5oG56b5qev6hPUtsPJrns9bWx9OaEpZVOklZv3qlTnvoh7H72nz940Vw8fEjE3wcbkYb/PvQpRvyyXIUFeWpYq/w1+m7OGp3Ru03EWHaXlKkgmaEzm4LJjG27nEmkRCrRP/1fP1RafnvTjj0V09mivY52nPTPsTr5wKrLq46Zu0YFeUadIizj/sP86Emua96Yoq9nr9brlx0S9T6RPitONPINX+Z8V0lpxQnJg6Nm65QerSuWmI6kzEtzbSJ4LaxP2ZI0LX27I0bTby/ZuadUqzbv1D6NazuyvR8XpDY6b0e0ZGv5AEP9lLc/e+UWnfXsjylvx+9Cq7yiNabN5Nfd6XMEp4ycVnV6iZ2X5fLXJjsfTATBWN6etFS1CvOr/D5m5bclrU2gZ9zukMqHRJoy3xSl6jsaO72YIpmxfLNmLN+sB087IKnHS1Ln2+1Pxy1et73SBX2sz4VTF3LpKu4IDkRJ0tCnvteMewen54kkPf5l+aDCab3aJL2NP70xVXMfOMGpkBzl5H4zfGW9THBqimB4O4dYMwdi+XzGKn0+Y5WKhw/Rpu17PF9pD/+iwslnIk0RCCYcdpWU6tkIjcnWbY3cEyGW3zbuiFoFNCfQnDN0xadvUy5lj3wU+XzGKt364a+aEFJietkrk7Qy7OLekqX7PplZEZtdr49frGnLNtqLMCzE9yYvq0jOjFu4Ts+NWRCIpbLOt3+qP8dYItYpwc9B0bCRGvb+NFtTi1Zs2qE3JyyptOJL+Ij83FVbNGXJRj31Ter9PUIrFxav26bpv23WQxFGSy96cULC01B27C7V9/PKKw9+90LVx8Y6mXTiHGbQY5WnRw54+Ft99HP5yO6aLbv0xk+LY78nHss3bdm5p0qT2VD9H4newDdZod+xZC+SM1URfs1/p2jAI9+mfQqfkyyVj4CnU7Ir1IVK9j3M1HS+RN7x8JmhweR2Jkc7f0pxqpGbwr9fyTaUj2T77pKogw2L1m7TLSHVCIn2DEo0TLsf3VQXoIg3tSueH+ev1baQldUGhK0s55RNO/ZU9KvbXVKWkdUdgwnCRHYji21OLQzaFudzxIym9CmzpEdDpga+HLZS9urN6W2AnoyN2/eoaNhIfRmWhE7l2zB7xWad99z4Kv1me9w7usrUyZsc6JMKSCScssp/xi6KWOr81sSlWrd1l5ZGODDGmrqwbEPkE+L/fL9IUuU53b9PopT92e8WxD2J2BIh6RVpFZTVm3fphe8XVUo0WJal5Rt36O4RM6JeFN7+0fQq1VJBwZLVG9/9RV1u/1SRdvGhO+znxy6K+nf8z+ZJ3qrNO/WujWmDoYLv4c49ZXo6kBR6a+LSiqVnb/ng16i9LS58YYJu+eBXXREyYhx+QnSxg/271m3bm/yMdKIa7/Owq6RUb06I3DT5u7lrIk5deyfQ+yF4wbBjT2nVxn0JHr1Dp+pEuwAKT4re8fEM/d3Dq0CFO+Du0brwhQlp64sSSegraaesPJJYSYd4/RMSEXxd3FrmPhmWZVWMgGejTF2sJVKNGG1E20cfm4wKfp9e+mGRzn52nDrcOqrS/npfG0uq27Fmyy51u/NzPfvdwoi/fzTFfXWk6eaXvjxRf4rSo8qovJ1B0bCRlaZqR3PLB7/q4QhTEuOJdl5n1/n/+Ulj5znbHiCSB0bOrPj3zj2ljq1CaEci381kBkZiJYCf/ib51ayc2qfYaQGwfXdJUoPZbvpp0bqYA6dLE1zJLxPHm2DF93NjI++nknHHxzM0buE6WytKvuvAStCAxJS6rLBgzTYVDRsZseRbKk8MBZNDg/ZrpgNaN1D9mu699aE9CXrf94XG3XKMgrOhf1m2UVf9d4rGDTtahQV5tsvFgwfa0P3/C98v0lezVmvcwnUavH+LKo/pHKGJZehJztCnf1Dx8CEVTdh3l1Q9CDt9zXDxixM0e+UWHbNfc23ZuUfrtkUuyY/U+0Kq2thxUvF6vTlhid6csCTi1Lf1ge3HWsUs2bnhkSQyxUCqekC//q2fo973ytcjT7P4W9hnyInlzEOnUjz2xVzdeHwXW48L7wMSyqvXn5e8NFGH7dvY7TBsi3UOGO17k9Lz+WhI+pNf/LFCzpL12zVn5RZ1aVF1Sm0smUriTFm8MenHevV77oZYX517/jcz+i9jKCuzNH7hOh3esUnM+wWXcx/563JdNbBDld9Hmu6XiJIIAxFfB3qlPHDa/lV+969vF1T091kcY7ryL0s36pj9mkcdeJEit17wm90ODg54zTkxGkt7ZfrrjjiVWCc+MVbFaZpWH0uyi4lIUkmcz1Six4+vM9n7KA1fBwY9kEkknLJA8CTFTsn3l7NW68tZq9W6QU1J5VPBnJToaP+G7XsqTYN78ftilZZZ+nHBOi1MoNdAcBQ59AR29IxVFVefkao0Io08x6pSirTscqR+R+ujJIl+iNFodtXmnZq6ZEPFKN7fR8+Jufz5M9/uHQWLddL+XVjT3M9nrJRlKWICLppgM/RE/GpzqeZw38xZE7Ox6Kdxloi2Y+qSqk2lP/4luUaqkvTUN/PVL87FjR3p7uH05oQl6tisjg4uapTwY53eT6RTpvI/fjxX2xLlQtRrJ54jp63QyGkrUuoPl04z41wUxlv6eOWmnVqyPrUG8NmqpMxSv+Ffx79jFC/9WKz7Ppmp5y48SMd1j3+cs9PIOhmxVtwd8uTYiLfbqeJ58uv5ejLGQjHZInQ3Hm2FtHRJdHGTVL3vUBVJaBuMsjJLeUn2Dt1Tamm/Oz+LeR83kk1Sar1KQyvsI0n0Xf9Hmqenx+LEMTvVhYaARDClLkeFz911SqKrlwQFl34Nlo9asiImBuJZtbnyASV4uP13lLL5oHcmRp7Glmq/g1DRqnuueG2SDnnwK135+pSK22Ilm8LFWoY1/HTjitcmR60EStXmnXu0bVd5T4zTn4k8TdGO36V5CfFvIqzcGKsRebh5EVaTe3uivffLzWKYWz74VWclOU0tU5w4icrLVB+fCFWVyfrvT4vj3ymNvL5CYjYpsywd+tBXmujQaop2VuLzWD6xQqSv6qYde1LqbzUlcN4QPqU5Gid6jkUSazn74Iqr4ZYk2A8omrywM3sv9qaJ5+ewVbiy2V8d6pMTOl3SzorOuWZBnFVevbxaW3gSNLSPmhMWr2MABOlFwilHpesENN4SvpEMfTpyciLVPgGbd+6xfYH/6vjiiLdfF6Xfgl3xRrql8sboqYh1YjYqpCIodFWxVZt3qmjYyKjVWMk48O7R6n7X52p/y6iUeuWENoifvDi9S9wnI9IyxXanVU0s3qB3opwIeq3KBJlz24dVl1TPpIc/m5O2QYhUjFuwLqELTz+scPjC99GraJNx0YsTcuriPJ6xERJwI6etqDKa76OZsAkL78151KPfuhMIXHPLB7/6akELu9L5vc3ESrFOcfq9TVfzfyCIhFOOSkej27IyS6u2ODOSti7BXj+RzF65xfZ2pv+22ZMXXKFu+eDXhFfoCV3i9Nzn9p5wH/LgV47FlU5XZGj560RcH2HFwUR6ZoT3lAryw8Vyui12YJpRpiqcglJ9OidX3UrFHoeWa3bSec+P16lRBiTCbd9dkrbpUU56+DPnpwdtiDNw4MXcyu6SsoiVPqnGGin5f80bU2L2z5uzcov+9t4vtgaI/GDJ+u0Vf8uKTTviroyG7PSPLFwgIp37skiLFHkFA5LwO3o45agN253fsTq1eowk3T9yliPbmRejj0K418e7O60lnmDz74+u6ZfU45dv8l9ZvV98MTO1KjWUG5fiCOPG7bvj9tdJl8+mr1CfokZqUqd6Qo+bWBz9QjiT7JzPeiU5FsnmHf5vlJyseD1nMvmuLVizVTWq5Vf0iYwm2vR7O70oY0kmAXz8P8ak9Jxe9cm05br2jdSqtHNRtlzc/zMLe32lc5GOaCuKepEXBxGAWKhwAgKcSnKlm90Rfylz1R6PfZF9I2nIvC07U0sajF+Y+eTN82MXaun67bry9Sm66IUJ8R8Qxis5HDsXWVM9PHUr3U33Yc8xf/8uZtPvrbtKVFpm6cUfIk8tTHWFNTvHvNIyS2Pmxe995Xckm5Lzyo/FboeAKNLZZiF8KqqXcHSD31HhBGQxu41TU3HGMz96stcS/Cf8YnPTjj2qX7Oa7ccnuShPSh4cNVsPjiqv1li6IfGmv37qJePlxqK5nHCK96dnav98c5TpwkG7S8q0/12fq3m9xKoAE2GnL+Gz3y3I+Mpn8I/Q8yYvV3XCWW6cP9i11KEFBQC3UOEEICUkm5AumxKc+pvOcns7tuws0bVvTNGkBKbJZbrnVDTv2Via+y/vOLOaUjrkcL4p7t/+ybQVGYkj3spYwSkr4avJpsOWnSVavnFHpQTUXwL999yadgt/CD2OPPHVPBcjQSZ55Vgcyeot6d9nAulEwgkA4Enb95To/z6bbbuhvxdOFz+ZtkJnPjsu/h0DvHKOe98nM90OISW5nHD6w6uT3A6hitBVUd3wyOdzdPjwr9X7vi8qbvtg6m8a+tT3GpmhBBz8KXSX/G2EVQ8BAIkh4QQA8KSLXpigZ75dELXfS7g8Hx7RPv75N7dDyAq5PKVOkuav3uJ2CJX0f+SbKrd5Ibf6y7JNbocAjyvw8twqpI2fjiB5fEbhMz48PQcA5IJgGbndPhqPfO6v5vWzVmzW6+OXuB2G51k2kkm5nnAa8fNyt0Oo4ulv9q6S9dvGHVpCHxL4QGjVKZf1ucPOccYrfBQqIImm4QAAj7M7mjfLZ71ZdticKpjrFqzZpo7N6sS8T6739i3I99744SOfz9GuPaXasqtEL/1Q7HY4gE17jzc5vlvJCec9N16XD9jX0ff6xCfGav/W9RzcIuBvJJwAAJ7m5WaeqVidgVUks4Gdt99Po9PpYFnSzj2l+mDKb5q9crNuHtxVtau7f4r35Nfz498J8BDLslQ0bKSGndBVvyzd6HY4OW/t1l1qUic9K1u+O2mpxi1cp3EL1zm63ZkrNqdlcYJDH/xKFx9epPZNajm+bSCdvDckBgBIm90lZW6HkDAvThdywpWvT3E7hEq82jg8NN9094gZ6nrHp1Xuk+u9eR7/cq663vGZbv3wV706brG63/W5vp69StOWbXQ7NMBXdgWOkcM/ne1yJJCkPvd/mbZt3/TeNMe3+cP8tY5vM2jl5p36v8/4XMJ/SDgBQIaVlJZp3qot2hBYsvvHBek7QQnX+fZP9c3s1Vq6fruue3OqioaN1Lqtu/TBlGWasmSDPp+x0nOVN8GRwknF61UaNndqx+5SrdmyS51vq5qEQGJe+N5ec/ZMC61we/nHYu3cU1blc3Dju79kOizPu/TlSTrlqR/cDgPwle/TmDBAcnaXlGnUr/5YXfKC//yUlu2WlO4dLJy90luLRADxuF9vDQA55u1JS3Xbh9MlSU+c21Nbd5Vk9PkveXlipZ8PSuMIolMueWmCvpmzRl1b1PX1ydblr05Sz3YNdEHffdwOJarpv23Sc2MWavpvm/To2T00ZfEGXdqvvWvx/O39afrHOT0rLWc/f/VWdWlRV5L0zsSlboUGAEizzrczoLRt996ej//4cp6LkQCJM7nS96BPnz7WpEmT3A4jZUXDRrodAgAgjltO6KqHmJIBAACACIqHD3E7BEcZYyZbltUn/HZHptQZYwYbY+YYY+YbY4ZF+L0xxjwZ+P00Y0zveI81xjQyxnxhjJkX+H/DkN/dErj/HGPM8U78DQAAOIVkEwAAAHJdygknY0y+pKclnSCpm6TzjDHdwu52gqROgf8ul/SMjccOk/SVZVmdJH0V+FmB358rqbukwZL+FdgOAAAAAAAAPMCJCqe+kuZblrXQsqzdkt6SNDTsPkMlvWqVGy+pgTGmZZzHDpX0SuDfr0g6NeT2tyzL2mVZ1iJJ8wPbyXqf+qRhHgAAAAAAiKxo2Ehd+EJ6Gs17iRMJp9aSQjt2LgvcZuc+sR7b3LKsFZIU+H+zBJ5PkmSMudwYM8kYM2nNmjW2/yCv6tisjtshAAAAAACAFFx3TCed2jNiGiOrOLFKnYlwW3gn8mj3sfPYZJ6v/EbLek7Sc1J50/A42/W8Ts3ruh0CAAAAAABIwV+O7ex2CBnhRIXTMkltQ35uI2m5zfvEeuyqwLQ7Bf6/OoHnAwAAAAAAgEucqHCaKKmTMaa9pN9U3tD7/LD7jJB0rTHmLUmHSNpkWdYKY8yaGI8dIeliScMD//845PY3jDGPSWql8kbkExz4OwDAFT/deowOefArt8PwnQGdm+qCQ9rpya/nafpvm90Op5LQpW4ty9JPi9brkPaNVGZJG7bvlmVJjWoXqsOto1yMsqpL+hXp5sFdNXPFZvVq20AvfL9IJWWWWjWoqevenOpKTIseOlHGGO0uKdOmHXu0YftuNaxVqMa1C5WXZzR1yQad9q8fXYnNSybceoz6sh8BgKx2QOv6+vW3TW6HAdiWcsLJsqwSY8y1kj6XlC/pRcuyZhhjrgz8/llJoySdqPIG39slXRLrsYFND5f0jjHmMklLJJ0VeMwMY8w7kmZKKpF0jWVZpan+HQCQKcXDh2j0jJV6d/Iy3X1KdzWvV8PVeLq2qKtHzuyhJnUL1bJ+Td364a9646clrsYU6sA29TVtWfnJ1SuX9lXDWtW0ZWeJ+nVsIkk6rnsLSdKw96fprYlLo27HLcYYHbpvY0lSvpGa1Kle8bt9GtfS4nXb3QqtkisG7KsbBnVWjWr56t2uoSTpD0fuW/F7txJOxpTPpC8syFPTutXVtG71Sr/vFYg1l/Vs20DNIuxHuraoq9krt7gQEQCkrm6NAp3Xt53+eOS+OviBL9PyHF//dYCO/vt3adm2U4qHD1HHW0eppMzSY2f30LGPj3E7JMA2JyqcZFnWKJUnlUJvezbk35aka+w+NnD7OknHRHnMA5IeSCFkAHDVcd1bVCRKMql4+BAVDRspSfrupoFq16iWpL0X9ZL04GkHeCbhdNFh++jeoftr6frtatWgpvLzIrXxK7dfy3oZjCyyh888UJ0T6Ld3aPvGnkk4DTmgpWpUy3c7jKQ8cW5P/fmtn90OwzX/PK+XJGnO/YPV5fbPKm4/vXdrPThqtlthqWOzOjq+e3M9/c0CVS/I066SMtdiAey4b2h33fHxDOXnGf3hiPb695iFboeU0ybffqwKC5zoAFNVUeNaevPyQ9Wyfk3Htvns7w7Sla9PVpfmdTVnlbPJ/nkPnCBJmrWCQQT4S3q+wQByyik9WrkdAhLwzhWH6dM/H6l9GteWMaZSsslr8gKxtW1UK2aySZIK8t3/O87u01Y92zawff/BB2Q+6RjJ/q3rqUsL7y1MceGh+9i6X9/2jdIciXe9d+VhahtIHFcvyNfUO47Vz3ceqwsOaacLDy1yNbbTerWuSGqf3jv7V+KB/xXkl18aHdGxiS7vv2+ceyPd0pVskqRvbzqqItnUsFY1R7Y5eP8WeuvyQ/Xm5Yc6sj1p7yrlwfO1Jeu3ObZtIBMcqXAC4A+n9mylj352tsf+J386Qvu3rq8Rv9C73y/8dHE+aL/mtu9bECchlS4DOjdVi3o1dOFh9pIjoerV8MZh+JM/Hel2CFUM6NxU9526v637Wr5fhzZ57RrXqvRzw9qFkqQHTjvAjXAquXpgB5WWWVq5aZf+2L+9uraop58WrdOoX1em5fluOaGr3p+yTPVqVNOkxRsq/a5V/RpavmlnWp4X2aNv+0b69saBal6vhnbuoWNHrjiwTQN9N3eNI9sKTqF3SpuGlSuwdpfm8AEPvuSNM10Aadeqfg0N6NLU8YTT/q3rS5JuH7Kf7h85y9FtI7eFNt62w41eWBNvG6QmdQqTrhI7aB/3k389bFZk1aiWp517Mjclym5cuWzYCV3VrK67PeCCRt/QX4vXbdcfX51UcZsxRgX5Rn8e1EmSdPHhRVq3dVfaYrhiQAddMaCDNm7frYc/n6PC/DxdeNg+ql+zmhrVKtTUpRt0xjPj0vb88L9ahfkVVS+7mQKaM1o1cG5andPOPbhdpZ+dqsYCMoUpdXBMv47OZPRPOrBl3PuEN419y8HSVS9JZGpONK9c2leSlJdC9cewE7rqT0d3jHmf0ObCqWjfpLY6NK2tx8/pUdGXJFtc2q+93vxjdn5WnXa/zcqWUAO7NNM5fdqmIZqqptxxrN698jA1rVs95SmJT5zb05mgkvTelYfZul/4fjfdmtez/3y5Ot77+8OL3A6hQufmdXVst/gViam8V3Wq2xsnbVCrUA+edoDuPqW7OjStoyZ1qisvz1RK8LasX0OjrjtSP995bAoRRRZekQD/qBnSx84L07SRGecenJlzh3haRBg4G7x/5an3Tkx/d+L6ArCLhFMOKizI0w2DOju+3QY1CxN+zKNn9ahy2/WDOuvao2InNybeNqjSz62jjEzcemJX/eGI9rbj+fDqw/X59f0rfv7ftUfYelw6Xk9J+uiafik9/s6TuqkoMN2iML/q171V/fgj4+f1bacrB3TQ1QNjvyeSNPu+wXrq/F7qmsLB8Onze+urvw7Uab3aqEebBklvJ5P6FjXSL3ceJ6l8Wtezv+sd8X53ntxNh3VwttTarmuP6qjXLuvrynMn43c2e/eEO2a/Zg5HUtUvdx2nRrULdXCRM9VJQ3u619vmgdP2V7UI+4ZI/nPRwWmOprLzwkZ1Y7F8MqfO6eSGX5u8RxNvum83BxcGuHpgB3VrVU8NahXqvqHdHduulNtTPP3ss+uPVINae89la9tMcMIfbjtxv4p/n+zB3qOF+Xk6dN/45xVGqSdCw8fJ5gcakgPpQMIpiww7oWvM30+941gVDx+iufefoOuO6ainzk+ueuSwKHOTHzztAJ3aM7Ed+JkHtVHx8CF69ne99eYfD9WPw45Wx2Z1dN0xnXSxzX4oNx7XWWURzu5+f3iRLu/fQbef1M32qGivdg3VpUVdVQ80KQw26gtuL5r6NQsiXkiEVlvES8IseuhE/TDs6Iqfh4RVen1w9eEV/w6tAvu/M6L36bj0iPZq16iWrhzQQS/+fu/FYrBvTLxRktE39Nc9p5SfiNcsrHphE57oq1EtXycd2ErvxKiYiNf4OR0eO7uHvrlxYMJTtOzq1LyO6teqpuLhQzT/wRM1eP+WOvOgNml5rmT99bjOOrJT04QfN+n2QWqQxvLtVJKTkWTi81W/pvOvR2FBnuOvhR35CVRnBZs/Z0oqVZluuu6YTlF/16BWoWPNsw/ap6Ej23Ha1DtiJ9VivqvxEjUOfiRCn+rCw4pS2taNx1UedDq4yJvvDWLr2sL9lU6dEm0g1k/uPKlbpZ9TnWb9x5Am8HXD+iemkiN2qkr5hd/3UbMMtAY4sE19NQurWC6wOfCE5J3okUVi3MCny2fCT2pClZZF3l0eum8jdW5eR/VCLpKMMTquW3If/OA0h4fPPFBDe7aqmEtcv1Y1XXaE/WlVoVVMg/dvqcM6NK6YQ11YkKd7htqbUnPVwI5q3aCmju3WXB9d00/Fw4doxLX9dEfIgapz8zpVHjf+lmP0z/N66aB9GuqJc3tq7N+Oivk8p0RIpgUTP7UKCyqNigVZIYewa6NMSZt42yCN/dtRMsaodYOaGn1Df42+ob+eOKdnpfv1btdQX/11gL7+6wA9df7eCppTesS+eDHGaNgJXVXUpHbFbUd1baZHz+qhx8/pWal8PFzn5nWjrhAy8bZBGn1D/4i/qxslwXfovo204METNfqG/nr/qsP1853H6q/HRv9MN6xt/8I+2gl+g1rVdHrvNmof8vcnqzA/T7PvG1zl9nMilGKHV++lqwrOrmSnfTWpU13XBKrbju9uv4G3XYd1aFyxEpkTF+J5Hl5xL5Y59w3Wp39Ob+Pu5y48SF/+ZUDSj/fyS+ulipK/xNinSdJjZ/d05HmO6mIvgZzpXljBpuXRhL5V4VPwLFkRE5vByiYj6bIEqpZjxhH2mQm/GOjSPPkE8B89srpZ73YN3A4hKYksFuGUh053v8n+VQM7OLatVPb1XnFp2Hc9PEmSilQPZ41qF+qqgR306qV9Ha1S/utxnXX+IXureyO1YUjlWFyzWr5GXHuECguyqzrWD64aEH+mSLYi4eQzncNOgF6+5GBdc1T5AcqyrIgjGsd1a6HRNwyoMvJfWJCXUMXHvy88SHec1K1i1NlIeuLcXpp653EV20lkJ3hwiitlvXvlYRp13ZHKzzMqyM/T8xf1qZiTfGCbBpX+3tDqHqk8AdWifg2d3KOV3r/qcA3t2bpiWeloIv1pj5zZQ38b3KXiQvmz64/U13/de5C/pF/5wbJ9k9o66cDI1V9N61av9Nydm9dV5+Z1Ky3NG5xb3qFpHe3btHLyrGZhvuY9cIIWPniijulaPp3ouqM7Vkq4BbVvUv7YXm0b6MyD2qhBrUJVC+lRcM1RHTT3/uhltaFJlKZ1q0ctN4+X3OjcvK4O2qehGtQq1KFhU8xCk3R1a1TT7PsG6+VL9r5/NaqVvy4XhVXAXdqv8onJfi3rqWX9Gpp8e2pTWEIrB884qHXFFJbg96d4+BAdaGPqX7ME+tF4wegb+lecsB4e6M8W/ho7rWfbBikntfxaFRNc7jgWu72Wojmue4tKVZtSYqO6mUw43Tw4dsWuV0WqftsvwjSwL/8SOVmfCDvTnCXpw6sOj38nh33ypyP0rwsiTy0O9e/fHVTlttE39Nevdx9X6baTepQP7tSpXqA7Tuqmm47vknKM4dMwr+hf+WL/hjiJQyeEThFMtIdMpM9VuCsHdNAjZx5Y5fZkKnDPymDVbrdWma80Oq+v/Sm86ZJIxWk8karS7fByb59UBhaC10pB4S91otOyx99yjG4e3FX9OydeOR5L9YJ83Xjc3v2b020Y3gz0vA3++Wf0bpO1fXC9pn3TygPf39w40J1AXEDCycfOPKiNBnZpVjGiX2ZJPww7utJOtWUgqeKE47u30GVHtK84IEaaxtatZb0qU8EiGX/LMRqQwE76vqHd9XZghxgcrT24qJHtk5IGtQorxfXCxfZ6kRgjvfHHQ/TgaQdUKXN984+HqmZhvq4e2LEiOdS1Rb1KCaH9WtbTdzcN1Mjr7PWCiuT1Pxyi4WdUPWH89saBFT2equXnKS/PVDS43K9lvYijwD3bNtC3Nw7UxSHTA0NH4286vqsKC/I04dZjNPn2QVUen+w0sVgNVMP74OwXVtJeo1q+BnZpppuO76JP/3ykZt93gmbdO1h3nxy758anfz5S4245pkqi9cu/9Ncnf9r7ftx1ctXEXKhB+zXTH48sfy2Dq6BNu/u4uNNGQnVvVc+xaTSJGnJAy4rG8Yno3LxuRXKie6v6Kh4+RIeETKd1omJMKp8WFJpk/Od5vSN+9uzq49FpRk7oU9TI1b4TmaoeO/GAFroiwQqRZC+unBY+ffu+od318TX99MmfjqiUvO7YLLnqmdD9jt3kqhtJ2P1b19eJB8Q/FwiPzbLK9/l1a1RO3J3as7X+NriLHonQ9/GUwHciXpVyuGiXl/s0rqXi4UMqNeqtV8PetPzjujXX6b1aq0vzuro3rC9UpIU3RgWqGlvWr6HhZxxoaxCwb+CYWWDjfT2uewudFWEhhUfP6hG1QjmSa4/qWKlqK9H2CYm6MMkefpkQa8psJE+e10tv/OEQSeXvcyyn9nLmPCG46IadfkDhgjMF7Gw/nN32FW5oUqfyoF94H6REc1nh1f9DDmyp4SlWyQUvqxrVLtRH1/TT9HuOj3i/VPbowfcouP84slMTHRo4t3s4wrUGUvfi7/vonlO6V7RrCXLqPNoPSDj5TPUI059+d+g+OqB1/SqjYzce11njbjkm7spCX/5lQMR5pUMDJxR/G9xFX4VU7QQv4CPN4MvLM3r6/N5qFKGkvm2j8qRD3eoFamGjWXWoCw8rqqimSXY50KfP7217Tvtrlx2i03q1VvWCPB3eoYnOP6SdWjeoqTf+WH7S8P5Vh8ccdXjzj4fq6cC0t30a11atwqoH4Y+v6ac591ednmVXUZPaVUaihgSqqLrGGPksalK7UiXF7/u110uXHFwpCdOsXg01rhP9c2P35FuS9m1SWw9HGGGN5OqBHaJeHF1zVMeKEd2ahfnKyzOV+nzt37q+refo2KxupfsWFuTp6K6xG01fP6izzuvbrmIlvno1qiXUTPSOk7qpukvly38/u0dCyV27rhqQWun/U+f30vMX9alS+VdYkBfzsxdPupq8Bk9WHz+n6gWvk8JHYcM9dnZ6nz+WdKctgvuVh047MOEkSZM61fXOFYe53iOhf+cmksqnxgzo3FQXHlakwoI87d+6vq5M8TsjxZ+u5gerN+9K+DF5xujqgR2rnFtcNbCDHju7h8bdcnTcKuWgKwaU78fDp5O3DgyMXBIyIBOcwrN5Z4mtbXdqXkePndNTBfl5Kmpc+WLi9N57B2yq5ZuKarhXL+1baYGQ8CrEUI+f00O3n7Rf1N9L5dPIz+vbNm7Ptc7N69oeCOnWqp5Cv5KJJEZCB/vCL7hqVMvTbSfupwm3HiOp/CK4ePiQhFfE/CKB5Fmqrk8w4dSiXo2Kgcgyy6p0rhUu9NyqXaNatlZ9jMTpwYGGtapV6qf0u0P3iXgu3rFZnYrkWipev+yQKAnkxEuc7j65m649qqMuCvRpCyaKqlY4JbzpSp4+v7fOTbFKLjSEnm0bRE3gpbIybvCht5/UTRcc0k4nhBwzz06gyvLANvbOuSEd3bW5Lj68yPYCLdkod/9yn+rfqUmVxrLN69XQ//50REUFzmm9yk9qhkSZwhWuY7M6qlmtfKf2wGnloxaF+Xl64txeWvDgibp6YEd1CKnaCWbCw6f3xXPz4K4a0LmpXk6g2uK9Kw+rWDWue6t6uvvkbin1vwiOWNarETtp1bd9Iz1+Ts8qO/XDOzRR8fAhcZu1HtahccxKr+LhQ9SjbQPHkxCn9GilBQ+emHDW/KguzWwnbD68+nBbvQHuS2BZ++CJy5UJ9i8IHpzPPKiN7YuNoDtO6qbCgjyd0buNjotzUle7eoEeOv2AhEfvgg32o/VX87OzD26bdIPu3x9epJMObFVxMu3EiiuRRFstMFHN61VX3/bl3/nC/PQmDvdvFft7mOwJS6xFD+yKd5J7x0ndkqqmC0r1W9K3faOKY1mTOs4lZvp1bKz/O+MAjbzuCI24tp/ejzJFbfQN/XVvoPfgzYO7pvRaxHLLCV11RMcmadl2UCpVufG8PWlp1N+FfgbeuvxQDe3ZSpcd0b6id2RQcH+/T6NaKsjPU8v69hsk3zCos4ad0LVKxW6TOtW14METK1UAB+MJVrlGc27fduqzT0NdHNJ8PNaUnRn3DK5Ybbd/56YV1bNS7F5C7RpVPrb/45yeeun3B1da3S/PGD10+oEaE3LBHu2c5ZqjOtoaxAvf1Q/sEn810Jd+f7Cm3X2c/hHSjzI84ZRvjP7Yf9+K/VqdkITL9YPsJXaev6iPOjWvq9uHxE7EOSX8fY03vbPPPg0rXr8yq3Kz6gm3HVPx7xfDGkaP+dtRev6iPnHjCVY9hiYPgzGmcmwNbqNv+0aaeudxVfopTb792Eq9hqTyhNrhHZtEXPXx9N6t9cYfD9EbfzxECx88Merz1i7M1xGdmkQ8p0smKfT7fu114/FdKs5Xxtx0lBrWqlalLYMX2J3Wl8oZU3DF6ka1C/XAaQckfR0S2mftmK7N0tLjE9mDhJPPGGP09uWHqXurerrmqMj9Gzo2q6Pi4UMSSjoEp6btEziZCR4QI11QntqrtSbceoztFXJ+HHa0Hjr9gIqpPYmsrNOnqFHFSmrGGP2+X/uI1VN23Xrifpp8+yDVT+OqW25L9ypdvdo1tLWKxuDu5cm9PjZW6wn2AYuXCIzmgECyLFiBZsdlR7TX3PtPiLuseKTqNLuuH9RJdaoX2E7m+cFH1/SrWDEx2X4TdqbaOMHORZEdp/duo8v7d1CNank6JIkpCok4rnvlCp3g6jepJlDOCKmuGHXdkRpxbT91b1Wv4ntqR7x3+7Ij2jtTTZfCLuzmE7poaM9W+vrGgXo2Qn+gZFzev4POObidureqrwPbNNBB+zSMOOWkc/O6GRnBvGJAB73uQBVB0GNn99C0u4+r1KOte5zEZzgnqrekygt8HLpvYz1xbi/dcVK3KsnOkw9sqbcuPzTigg3x1KiWrysHdIi4KlN+XuVeasHrvz8eGXuKZ5M61fXeVYdXOjbGqjIpLMiLuiBHn30aRpzaMvz0A8qnIIdck57aq7WO6tpM71yxt79bpGd97bK+EStGOjSto6l3Hhe3AX2eMWrXqLYOLmqod232kjuqazPVq1FN1fLzdEm/ooST3tcP6qzZ9w2OO70rOHARnAEQ2pcyHUI/H/84p2fM5O/CB09UXp6pqLwdtF+zStNFm9Xd+3k5uuveC/ZzIkyDDPV/ZxygFvVqaPQN/dWwdqGKhw/RUSHHu34dymM6IaziM9gD047gXxmtYikvz1RJRAZXNQ7vL/bgaQfo/844UId3aKLDOzSJWcGaSHVWh6aJT0lqUb+Gpt55XIRpzekfGDwmTjV9JsQbnH3tsr46r287ndyjVcxFhf50dEfddXI3NalTqKcv6J22gcNkzb3/hJjVhMgs7062RVT1a1XTyOucXc3o0n5FOnTfRureqr7uOaV73CZ48RIO7RrV0vptuyVJrRrU9EQzRqn8ZDKV6Tqwr2nd6vrihv5q17iWJi/ekJbnuLRfe42dt7YigXF4h+RG/SOV78+6d7CmL99UsXJiMg7Zt3HUOfjpZkx6Vu5yoqFo3xQXDIjnuqM76stZqytd/O/Xsp6O6dpMT30zP+Ht3XRcF+XlGc2+L3pDfaeEJ4yH9mytwfu3qHQyd2m/9nrxh0UJbbdVg7377OAAQ6LHES+vUhfUrG4NPXFuL0mq1IMnGb8/vEjHdmuufmmuJnJTm4Y1K6Z63Xlyt0qfq6LGtVS8brut7cSaBhZu3ya1tXDttoqL0ofPOFAHtKmvzTv22F5RzxhTUW2dTg+ctr/uHzmzylTGWoX5mnLHsep6x2dRHxv+dWnfpLZ6tG2gS/sVxXxOY4zOPrit+hQ11NF//67i9vDpOtG+j5GaidcqLFCtRgXq2KyO5q/eGvP5g3q2baCfl26UVJ4EKCzI07tXJteA/q5Az8UPpiyrdPvRgSqJejWrqUfbBlWmq8UbEArdXQaTD5f0a6/nxixMKs5EndqrtX7buCPq74OJldrVC/TTrceoUe3CiEnp0N5Odvp4nXNwO51zcPTz6naNy5MKwTYSR3dtpvtO3V+1quWr131fxN2+VN639dPpK2NWtg7ar7leH79EUvlKwb3alQ8w9ilqpH9d0FvXvjFFZVZ5iw7byfgYx5l0poQysdJpx+Z19NXs1SlvJ9ljcax+qkFHdmqqIzvtvQYsGjYySgxGl/RrX7E4ktfOD4JT2eENVDhBUvmOIziiefHhRSk3MgtfFQ65qVPzumntXVTUpLa+uXFgwv0ewkXq4VSzML9KQ/N0Kmqc2JTAeApzeK74X47rolF/Ll/BckpgusEZvVsnlej62+Aurq98V70gv1I1hJ2FGUIteuhERxLtqfSNiCfetNZUvXBx/Kkp4a4a2MF2sqmxT3srDYlRbfjtTUfFrWbpF1jBsksCU+yDVRcnBhKCZx/cVvu1rKdD9m0cN8GQacd3b6Gxfzu6ysVyvjHxYw37uhhj9PE1/WwvoR6+Im1QcBGKaO0Fnokxlfj9qw6v1JMz6PpBlVfkK2pcSx9evTe5lK7K6WBPuvy88tfmqAQqQC44pJ0m3LZ3gYnDOzTR59f31+8OyexUqdYNatpqWN+8Xo2ISZeJtw3SFzbaFMQTKV8SmkRp3aBmQj3g/nFuT4275eiY7/3ALs0qFvQJd+IBLfWvC3qra4u6MStlEhE+5Sydx6R0uLJ/7ErQdOe8wqe0JivSwECqb0UmV8HMpOAxMtyIa/tFvD1b5e4VCdIqlWlvyD692zXUwUUNdcdJsVeEc8K7Vx6mUQlXbhj9fOexCU3Jc9ptQ5x9bW49sbyfRVqn+PjgXK9R7ULNe+CEiKs22hG+VLofOX1SHmmlpdohq8QN2i+xaQNnHtRGz13UpyLB62SydN9A1cMx+yWe0EpkaoeXlxKPZtwtR+tvg7vGvE940j106pZUPlVz0u2DdEASDWR9dq2oN/94qN6/qvLf/9djO0edUuXkFJNWId+5gvw8PXZ2z6hVZeEr/IWqX7NapZ6cQT3aNtCihyr31Qndb4Sv8JWs8JhTOT49cNoBVeLq0qKu8pLYZKpL2yfaQzJU07rVHVndLVb/n2ifxOC+vFvLelWmIlYvyLfVG+2ANvXVoWltDTuhag+twfu31GfX93d90MaO8FfP7iJDiXBq0Ydk9y2tGzozsPlmhHPlYEz/PK+Xnjq/V8LbDF2BNFqfxFiCCw94TbT36sA2DTIbiMuYUoe0ueiwffTquMVuhwEPqFEtP+lS/EQlW5XUoFZh0lPynOB0hdPFhxdVan6bDgV5Rrsd2M4fjmyv8QvXpa23U/CiJpkL3HT3REtGlxb2q0mCK3I5JTjdI1qZvZT41IRgX7+nzu+lJeu3q2ahc1Uuo6/vH3FFVTui9diJxC/LAvznoj7ap3Et/bZxh+1G2w1rVdOG7XskSUVNKu+njHEuGeF1h3VorNIyS03qFOq2QIPqPx3TSX+Kcv8+RQ01tGcrffzz8ozE939nHKDHvpib9OMjJaZn3HO8vp69OmpC8dB9G2n8wvVVbt83SpX8CxcfbHtKV7KSSbD/6wJ7C0ykayGAdDmycxOddGBL3RySWG7XqJaWrC+fKntst+Z6ddxi/fvCg2RZ0swVmxN+jlqFBfrqrwOdCjlmoj98P2u3ybYdLWz0Jk27JP+c4DTlTKiWbyL3Ng28bZYqJ8iT0btdg5QeH+rLv/TXoMfGVLqtSZ1Crd3qxNlrckJ7FeYKKpyQNvcO3d/WXHQA5dMP7az+F89blx+qMTfFL+93glONi/dpXFtf/GVAzly4piqR0fAGNdNbbXpShOl9HRM8mTo30Pi5VmGBurao2n8mFQX5e5szH5ZAz593rzysYtn6bHJg2/rq1LxuQg31x958tEZc20+3nti1UpPjZLVvUv75aNc4tan7bsjPM5p0+7EVqwHHUi2w2m8qgs3+a9hIwp5zcDv9dOuguPdLRO3qBTq5R+QVj4uHD9Fbl0eechktZxBscC1Jh3dITw+uRMcIBu3X3NY+tXj4kIpFEf56bOcqU2I+/fPeyuqW9Wvob4Ojr173rwt665sbByYWaEC0at1IuZfqBfl66vzelSqwQl+f24d006d/PlJtG9VSu8a1Uu5754RY+cKBTixKEUV4lVq6m89HYtnNOIWF9uE19qZn/enoyItNJaJ2lO9KMCQnkoDGGB3fvbkj54RVm8MnP0hyZKfEB6XDP8/f3DhQ7yVRweV3JJyADHrvysP0+fX93Q4DHpVI491oDt23cUXD0HRzIl74W6cIJ3M3Hhd7mXBJejakz0ym+nDEW447VCb7t2VSvITRqOuO1N0nV57eW6d6gQ5s00CXB6aXvvGHQ3RgoOIlmakdZ/RurfevOkwnJ9iLLBc9cuaB+v3hRXrhYn/0xQxOpbkurPl3uIUPnqj/pjBgEW3lNCmxqbB2RLo4/dMxnapMiQlt1j7ulmN09cDoF/cnHtAyqV6pk28f5GhrgsKCvIhN5jPhy79EPheONaU6vGo7XceOA9vU1w3Hdo5/R4+oX7OarZVsUzmunRJIPEd7xSu/F6m/L/++sI8m3W4/gR6a5vrftd5dna59k9pJr8jtZyScgAzqU9QooekwgJdlYlUXJ3lt2d54Xrok+kWm3epR2yOmKQp9Fjt9WQbvn/lkgzFGeXlGZ6ahOamTUzvc1K1VPf2+X+x+Z4d3bKKiFKqTjDE6aJ9Gvmv4m6wJtx2jH4cdndRj8/KM7j6le8oLuWTKSQe2UvHwIXEbo+flmZTe/8NjNPN3+lP11V8HaNwtyb1/Tou1+IMXqpMS0bFZXV01sGqPxCfPi14VmKl9xquX9lXtSNPG0szuYcSNXeddJ8dOdO6tcEp/LLE0q1s9qZ6CduTKMSsdSDgBQBi/rjjlB17sieQ1+7eup77tG+moBKY9ZVqyTdi94A6HGvR/9dcBundod0e25Vecf8fXrG4NtUpDA+J06NDUH4mtWAoSbEQe7zNcv2Y12/3O/n5WD/3VpcqYRFd4jLcCZSb071R1itwhSawm67QGtQodGap57TJ/9fyyI1rSJXhzooNc4245Wl/c4I+ZHxzukkfTcAAI8ezveuuAHFs9IpMW2JzSlA6JXhz/M8ZIazp98qfEVlmMJV2jjfu3Lp+G4cdplfVrOVPO3qFpHS1el5lGrU3rVtfE25Lvz9Oyfg2t2LTTwYiQjZ6/qI+O/vt3bocR1cAuTXV5/9gLISTS7N9pZ/hgafdgwiCZgbVnf9c7csPoJEVaCS5eFUnj2oVat21vw+dB+zXTl7NWOxaTk9oluHqh7QqnJGJJ1nc3DdRvG3eofs1q6ty8TtQp88d3b6GPf16u7q3qa+uukpjbPLBNfU1btknXHdOpPJnrQEFSIuc6XVrU1eyVW2zfv271Am2J8zchNhJOABDCjak+TvjvHw7xzbQLtyR6khatWS6kU3u21gGtG1Qsq430Gvu31BYC+ODqw/Xrsk0OReOfVfmQGK9PGWnfpHbc1WS9/Rckb2AXZxtmJ/Mddvr8KPzj5qVzmIOLGqp+zWratGNP0ttonuDKd6ntV9Pzyd+ncW3tE5hCPfqG6AvbnHhAS8174ARVy8/TlCUbYm5z2Alddf7zP+koG5/pybcPUp4xKrMsHXT/l3Hvb2cXFkyOSdL9p+6v2z+aHvP+J/VopTcnLNEVA/bVk+f20u7SMh38QHksr1zaVxe/OCFGPNm6R0oMU+oAIAvUqJbvm2kb8D9jjDo2q1NRTXBpnL4/qOqXu46zdb/xtxyT8HSZcC3r19Rx3f3V4wWZ16hWedWLV5PtdvrwZev1nVN/lpdentCqlEUPnWhr5b7w9/eIGP28UtGgVqF+ues4XT8odgP8WGpUy1e3sKbsTnQV8GoSw07/xh5tG+jwDk208MET1atdw7j3b1ynuhrWLozZvyxRoZ+7Y/ar3Lqga4Q+u41qV1Px8CE6vEMT1a9VTU3r7o1lQJyVE735TmUeCScAyAou1Bz4rcyBI7/jquXnqXj4EN14fPyV6bLR4R2a6OiuzXTnyYn3cqpfs1rFsvd+ky1N0lFZ/VrVNP2e43XDoMT7EH14dfqX+m5sYyWumikmZ71m9n2Dk97H+EXbRjWTTqJcfHhRStON4+ncPLWFfkb92f4U+VzYrw4ODHzkRcm8xaqabteoVtQeackukGK3PxtSw5Q6AMgCOXCekrIOTf3XbyhVXj6B/eXO41RSVuZ2GCmpUS1fL/4++SXrm9SNfwHt0cFsSd4daUfy6lRP7tLATrVCquL1b5IS/0x6Pemb6j4mXIv6NbRw7TYVJthc3auMMZUqTrzu8XN66s9v/ZzSNry+140V3wkxVlOccNsxMXuEjQlMLf/7F3OTDa1Cu0a11MBGP8ez+7TRFQOqrqZoF4fIciScACALuJFWyM/315G0eb0aKh4+REXDRrodSsZ4ON/kWPNuP7MzRciLju7aTJ9MWxFx+gHgtB+GHa36NavZmrKTiOLhQxzdntsm3z4o7rnA0+f31rdzV6ttgg2t0yHZqpQgP+49h/ZsrZd+KNbPSzdW+Z3dV6NWYXZV8QU1q5t8T8hEjqWWrIrkVTwPn9kj6u8OLoqfZPfjZzQdSDgBQBYoK8t8ZiHZkXA/mHR7+kr0c0Hvdg00ZclGt8PICl48YT29dxsd372FamfxPgDeEWk1M1Rlp89Nw9qFOq2Xt6q6kk28xzvrKXCiYVIadGxWJ2LCyS5jjPZvXU/Tf9us+0/d37nAMiDdvUYzNYgz+77Bnv18eVF21FMCAFzRKImllf2giYMNKt3kVoFT3/aNXXpmf7FVbu/Rc1qSTQC87LmLDkp5G07sfi/vv6+O7LS3ufl9Q51LEvVo08CxbTkl1rTW4EIjTmter7ou77+vXrusb9z7OnHsqlEtXwU2Ki6Zdl6OhBMAZIFUG1smq2mWJGb8aP/W9eLfyYOyrakvACBx6Z7yHasfkF3Rmlsn4tYT99Nrlx1S8XPNKFPiEnk9vDxdPlP2bVK74t/GGN164n7qZONceGCcleVecrBnGsqRcAIAD+nXMbnKkIYuVRoxeOOe/p1inzRJ3jwpHRyjaWiuaWijj5Vf+zwBgB3JnkdkYs/YKqOrmNk/YAeP7V48B2ucofNRJyvsQwfCjuraTDcd30VPn9875e3GWnUvl5BwAgAPuXlwV7dDgE948UTTDk7A9rq0X3u3QwAAeIAXB4iS0bZRLX365yPT/jxHhExTjCfW+dLE2wbpv388pNJt1xzVUUMObJlsaBXuOKlbytvIBiScAMBD8vyaRYAnpboKULJifYyz5JzaEfZ6QGQgECBJD59xoN6/6jC3w4APcSxw3sNnHuh2CJKk/Vqmb8r/jHuO15ibjtJ1R3eydf8bj+usT/50RNTfN61bXTUK0jPVvwYtBCSxSh0AIAXZujwvUpMtI7UAYjv74LZuhwCfSzanfsOxnR2Nw0+iHWLj9SfKBrWrF1Rq/N2kTuypddeGJaYsq+pAjluDc7mCCicA8BC/Xag3qJV9q9T94Qh/THOy09vniI72S87hTRQ4Ac5rH9JwGP5x4aFFksqXpT/xgNSnPHlJMqd/wcRJrlbCPnV+L310TT9b97XzGiWzqpwTU++yHQknAPAQv42y1Kjmv8NItfzYJxS3Z9Gc+z5FjVx53lw9+U0HllUGnDXr3sH67Pr095hBbMFGzR2a1rH9mD8P6qTi4UOqTFV66RJWFovliv77uh1CWpx0YCu1aVjL1n2P6dosLTE40Vw82zGlDgB87OEzD1S+ixekflxBa8zfjtJhD33tdhgAABdEW5YemdWifg29emlf9WrXwO1QPKFVg+RXxAutjt+ncS0tXre90u8HdMn+qXbxPHV+b63Zskt5ef47b/U7/w1NA0AWS3RK3dl92uqMg9qkJxiHdW1R1+0QJEkt69f0TCyp8HLhS6wkaN/27lRd2XXLCd5aKdLDbzMApKR/56aqW6NaytuJtJ/0276zZ9sGtu9bO5A0zQ9PnhjposOKnAsqBXd6rFq8RrV8tW1krxoKziLhBAAeksjI64TbjkljJDYlcEZXWMAhB9JRXdJT1u6UKwZ0cDsEAGmSrVOLcp2/mhGk7qnze+um47uoS/Oqg2cRT8tceIHO6O2PwVCkH2f/AOAh7RIYfWlWt0YaI7HHTr7p2qM6pj2ORO3b1P8NY5mGkBvy4/QcA2Bft1bpW64d3rJP48SO88d2a67qYQNjBR7d/7aoX0PXHNWxao8/S+rOZzxh9QJVdvvz2qUFCScA8JDqBXm+GhWy09D42G7NJXlrBb5HzuzhdggpO7prc7dDQJo9dPoBFSfCAAB79mlcSy3qJzYo9/xFfTTn/hMq3eaX6fehp2KH7NvYvUBCVPfRojJtG9XSh1cfrvtO3d/tULKSfz4JAJADjDG682RvzXtPVfBEyEsr8NWuzpoZ8D6WWwaA+MKHvhrVLnRmu15uluhxNarl65w+bd0Ow7Ze7RpWWf0QziDhBABe4528TFx2TsWCK9l5qcIJ6dWgFlU5AIDsc0Dr+m6HkDC3Tr84F4BEwgkAPMdLlUDxHLNf/AbQFRVO/vmzfON+j5Z///7woko/v3ZZXz37u4M05AAqdgAA6ZXOuqTWDWqmcetA9iHhBABI2tCerd0OIacVhC+J7BEF+VVPLwbv30JPX9DbhWj8q04hUz+BRHVrGb3xLwMfSFUNH/Umcl3IKcp//3CIe3HAVXxjAMBj6teMXIL8/c1HZTgSZ3Ge7zxeU2ft28RbqxfmeTShCHgZbXdyT3ivpXT2XrrnFO9VFg/s3FSSVLMwcg8itxKteSHvwz6N7a/CjOzC0BkAeEy2NanMsj8HSTBpneCQuHo1CrR5Z0mV2zs1r+NCNAAyxU9T1uFN9T3Yl+iB0w7Qdcd0Ut0oq5q69bkvDKl2prowd1HhBAA+4ddEVFHj8qqRPx/TyeVI4pt57/Fuh4AMiPZdOrBNg8wGAsBxXNgi1xQW5KltI+9VEFXL9+d5K5xFwgkAfMKvh+3a1QtUPHyIBu/fwu1Q4qpFz5yccFqvyL3HrhrQIcORAHAa+Sb49XwJyEYknADAJ1rWr+F2CPCYnm0buB2CLzWrVz3i7fRMAvzPilHiRPVTdmLPDXgXCScA8AljjK4YsK/bYcBD9ouxGhOia1oncsIJAOB/Pu1AkDZeSLQ28GDvK2QGCScAAHyssMD7h3KvnfyfeVAbt0MAkCaxLq4L8r2/vwSyzWVHtI/a0BzZj70uAAA+1qhWodsh+E6kpuF/OrqjC5EAcFqsFblO9EEvQaTOayuj5qrgsba6DwbGUnEC+5WYsvvdB4AsM6BzU7dDgMf03qdBxNub1mXaWCIGdnHnu/XEuT1deV4gW1HhlHvCxxDq1mABEGTOk+f10gsX93E7DM9irwsAPtIk0HumU7M6LkcCLxtyQEtNvG2Q22H4ils9Lob2jLxiHoDkeKBdDVz2yFk93A7BU/hOpFe1/DymDMZAwgkAfOCNPx7idghJKWpcy+0Q4JIrB3RwOwQAQA5qVJup5oBXkHACAB84vEMTt0NI2Nd/HaCPrz3C7TCyXqTKnFg9TDIldOYK3TQAZMrdJ3d3OwQAknq0aSBJ6t2uobuBwFVMcAUAH3I/nRDfvk2Z9pfL6tekvBxA5h3RyX8DNEgNTcK96YhOTTTp9kEV7SCQm6hwAgAf4ZQKdrjVjyjUJf3aux2Cbww//QC3QwAAZCnLxZMCkk0g4QQAgI+dcEDLKrd5IeFUjdWgbDu3bzu3QwAAAHAcZ4MAgJzWqn4N/enojioePsTtUJJySo9WbocQVz2m1wEAAOQcEk4AgJzWrVV9/fW4Lm6H4SgvNA0PtX/r+m6HEFdhAadEAOBHhn4DgGdxdgUAyGmdmtPcHFIHmtwDAGK4ckAHt0NIireGoJBrSDgBAHJS6wY1JUnnZ1H/nEP3bSTJGz2c/IaXDAAQy+X993U7hORwgIOLSDgBAHJaNpXiv3rpITq7TxvdO3R/t0PxHTdX8QEAJO+Q9o3cDgFAFAVuBwAAAJxRWJCnh8/s4XYYAABkTAGrogKexbcTAAAAAIAY/FYJe9i+jSV5byER5BYSTgAAAACyRo+2DdwOAXBdjWpc6sN9fAoBAEDOY/wXyB4n7N/C7RAAACLhBAAA4LrOzeu4HQKQNXw28wlwXLX8LFoRBb5GwgkAAJ979KweusKvyzVDkvTRNf3UZ5+GbocBAL5Uv2Y1t0PwjE/+dIS+v/noip9JwGbeFzf0dzsEzyDhBAAe9LtD20W8vUmd6pKk03q1zmQ48LgzD2qjW07cz+0wkIJahQVqWre622EAgC8FG2RD2r91fTWvV0PGUOXklk7N67odgmcUuB0AAMC+hrULNfu+wapewHgB4CSvjQDT9BhIHqty5Z4ebRvosxkr3Q4DOWq/lnVVs1q+duwpdTsUz+GKBQB8pka1fEatHHBJvyJJUqPahe4GksU+vqafvr/5KLfDsMdj16cNazE9BEi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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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sZ0LuKN5foj1F+71uhq8QcAJQhtnJQG75anHspQjIPpZ/IN8RWEAsf/9kQbnf7xo9RyUl9iP1rEAInsXrdmj3vtwMyvzu1WnqeufHXjfDVwg4AQDSQicPAGDXP79Y6nUT4EML1mwv9/tLXxdq6YbEicIjPTeJz5VTslEFcU/Rfp30yCT9/r/+TSKeiQnz13ndBN8h4AQAIUFd+sLMCQA4gGOiP23Z5V5C4nwR0G5KGvgSZ1M2j5nFodlr3yzZkL2dwlMEnACb8r3qTTZGPZAe/jQA/ChbZ81cPT9zaA+eD2eu0uJ125M/MAX5OJt49I+rYt6+r7hEz09ewvJMIEAKvG4Agu/v4xZo4oJ1GnNdf6+bAgAAsiwfL4izYW9R6UX1pp37PG4J7Lr29dJlQm9deYz6tGvocWuC6/EJi8r9vrd4v6oVVNZLX/+kB8bOVyWmMcJFnNGcxQwnZOzJiYs1Z9U2r5sBAACQMz6YWTrLY+tulqIFzTnPfuN1E3LKx7PXSJJ27CmWJO3cm5sJp4FcRMAJAAKOgT4AyD0sl4Ykfbd0k9dNcJWdLoyho5MVHHLgBgJOAIC0BO1iaF9xCXkfkHVOfE3+Pm5B2Qg/8semnXu9bgJ84LpRuVnNK2zigvVeNwE5mgcP/kDACUCZkoAFEFAqaIEfr3S/a5z63j/e62YgT2XSnX9y4mJd+do0x9qS63Ll0unNqSu8bgIAABkh4ASgzBvf/+x1E5AGEvbas6+4RJspyw1kTbZWwbDaBvki3weYIl9+rlanBHINASdkVQlTaHwt3xOT7ikiCSXgtqL9Jbrwn99q2rLNXjcFAHwv34NMYe/9sFKzV26VlFmQefueIp319Fdasn5HWs9/a+pyLVizPf0G+BiftfTc9OaPOvi2sV43w7cIOCGr3py63OsmIA9s2bVP7UaM0bg5qeU82RfQ/D6M8iFIlm3cqa+XbNQt//vR66bAIV4fg0Z9n1t9i/lrtqndiDFeN8NxnKnSYxEF0L7iEt3wxgxH8j19vmC9fvh5ix75dGFaz7/5fzM15LHJ2ldcov05MpDOLNHMvD19Rc58FtxAwAlZFeQZNLl4MM7VGT0L15aOWr3wxVKPWwIAQGrGzlztdRNywqotuwPd78QBf3yr/ADFezNW6q8fz/eoNaU63/GRLvr3d562AQgCAk5AHrvpzcxnGCxam5vTioOEHE4AvOS7Y1AujhAhZf1GfqaBf//c62bABUvX7/S6CZKkrxZv9LoJgO8RcALy2BeLMp+a/MIXPznQEmfs2lesw/4yThMXrPO6KY7YvHOf101IyGeXmEBa1m7bo3996Z/jGJCrvDhnbPL5edQOzrXe+893y7Rsoz+CXEDQEHACUMbrPByZWrp+p7bvLdYzny/xuikZ+3TuWvW691N9syT56FnQ/26Al658bZru/XCuftrAxQTgpte+XeZ1E1yzt3i/1m3f43UzbMvVlApuKNpfotvfna1fPvO1Y9vcU7Rf67fvdWx7TiG4CTcQcAICZMuufbrjvVnaW0xHwY4g59n8vnCTJGnmii3eNgRwmN++l+EcL24l/MznhL8EwxFp177c7btc+eo09b1/guv7cWr56uvf/ezIdvJB+BAeLx/Y10s2SJLen7FSO/YW29rmRf+aoj73j3ekfU54euJiV7a70+b7gdxGwAkIkIfGLdBr3/6sd6evzPq+8+GaiUsjIHtMnuXZSffl5nPACggKJ6qnxeXCIaAooFV5vbZyy+4Ktz0xYbFmrdiq60fN0O3vzrK1nSmhQcVEdu4tzlpqhfHz3ElF4ZdcW/AWAScgQEpCI/BuXX7k2fVfzvBdwl4AZYoznDn13GSqbaaKUxlySeQRZMsuqu5lW2Qf66rXpsV8THhm05qtzi2rPPHhz9Xr3k8d2148Rz3gn5lWfsE4j7MIOCGrCGj4S/TxNN//PH46v/w3NN0904tVAN5atnGXJGlq4ea0nv+1jTxuyC0c9eGmwg079eBH871uRuAYGe2Osyw0PGOsxMFIxdpt2cnxlK39+BnXp+4i4ATPWJal935YGffgDeSz7aHRMjuJPb3Kk1K4Yaf2FTMtH7BjYw5UywIQfJ/Nz41Kvn5hjHTRv6dIkr5Pc2DBN5jaAxcQcEJSbuWP+O6nTbrhjRm658O5rmwfyJfT5peLN3iy31+98J3+Mnq2J/tGcOXL99Ip5HDyJ7eSzAPROAZ4K9W3/67Rc9xpSADlw8whvp/JEXBCUi9+VejKdnfsKZ3BsW5bcMrI5rqnP1/idRPK2bWvWO/PyF6C9N379muqjUSOOOAblvsgTXnQD80b8frbuXyx8Y8Ji7xuAoBMpBonMLGfEn2ce+nrwjQbFNuzk5bErZDnd34PzG/dXVSWHzddkxa6WDAgRxBwQlLf/cQFZb7wW76gO9+bo+tHzcja/uav2a6zn/1Gq2JUIUFsG3bs0/JNu1zZ9rKNO9VuxBiNm7PGle0D2cQoaG6Zu2qb101wDJ/N4HDiL5XLgWA7gvb6R340P7Czpj6a7U7/bfmmXdqwI7PcU5t37tPhd3+iR8cvzGg7G3ewXD4ZRwJOxpihxpgFxpjFxpgRMe43xpjHQ/fPNMYckey5xpiGxphPjTGLQv82CN3eyBgz0RizwxjzpBPtB+BPa7Z5E/jZta/Yk/0G0Y69xer/0ERXtj1zxVZJ0ugfV7myfUCS79f4uREL2LJrnz6evdr5DftE0C4ogUR8fojKe07l0Rz08Oe69MUpMe/bvieY/dK9xe7k6e3/0ET1vi+z6nobd5YGrMbOyt1zoV9kHHAyxlSW9JSkYZK6SbrAGNMt6mHDJHUK/XeFpGdsPHeEpAmWZXWSNCH0uyTtkXSnpD9m2nZ4ixMonBZdHSQXRm2DfN20r7hED308Xzv3BrOjhPzidpDC+CgKcvV/puvK16ZrLUvaMxD880vYw59kNsIPd+VAVyanZXJo37rrwFK5Jet3auKC9Wo3Yoy+WOTOMq1d+4rL7TOa0x81r4rawF+cmOHUV9Jiy7KWWpa1T9IoSWdEPeYMSa9Ypb6VVN8Y0yLJc8+Q9HLo55clnSlJlmXttCzrS5UGnhAwO2JE6H3UB88/OdaJOf3Jr7xuAiK8OXW5nv58iWO5TizL0nOTlmjbnmDmMnDbq98u06OfenfhaFmWFq/bYeNxWWhMDrFSOFDvKdpvq7Llz6FlsFSZhCQ9M8lf+Rud1m7EGL341U9eNyNtu218pzNRtD83jgPLNu6MucR/+54izV+zTZe8OCWjGTduXK4cfs8nMW//9b9iz3RK5oZRP+jLRfELyfT/68S4+8yG+WtyZyky7HMi4NRK0vKI31eEbrPzmETPbWZZ1mpJCv3bNNWGGWOuMMZMNcZMXb+ehF5+sHILcUJkZnOelRZPdKn53KQlmujj8sbhTqxTF7WTF23Qgx/N11/eD2YuA7fd+d5sTxMZj/p+uU56ZJK+XmKvamK+DTYkm3FZ7MBF32F3jVOPu7y7mIAzCMo67+4P5rqWbzBoog+9H7uUZyfbBvzt8wpL/LftKdJhd32ioY99oc8XrNdXizdklMja7zPn35uxSv/3r+/i3r/R4z504Qa+g/nIiYBTrC5j9Lcx3mPsPDdtlmU9b1lWb8uyejdp0sSpzSJP5dm1kW/9/r8/ZGEvwfhrP/jRfF360vdeNyNr9oZGeYOayyDXhXNu/bRhp8ctCZ6xs1ar4+0fadHa7RXuS+X6pmi/pX0+mq2Qy0FFn193IgbOHbHl8kc5evnY71//IWkxmle/Xabhj39R9nv4u743zuDZrn3uzkALW75pl974/ue0n+9FeoPocwApFvKTEwGnFZLaRPzeWlJ0htd4j0n03LWhZXcK/evfYXykxclRgq27i2yPqgcZHVxp3XZmyflRLlVsArItXIlxTh5+j/aXWHrk04Xassu5kXfyhiBXjZ+71vezbLyw3eZS+502gkN3vjdbc1Zt06gpFYM7S9ZXHFDZtjs7y/zPe+4b/entWeWWTZeUWCqxOWPrtndnlf382PiFtp/npJve+tGR2bwIFicCTt9L6mSMaW+MqSrpfEmjox4zWtJFoWp1R0vaGloml+i5oyVdHPr5YknvO9DWnGRZVsBzmpTvGH48e7X6P/RZSgek374yVRf+8zvbJ5yg81NX2s0R7FgXDQvXJs8RE5YLXbJ9+0ts5WTx2ikRo4HR6BwDqSspsfT1kg05P9Awcf46PT5hUWDLfgPZtLe4RGNnZbYEzk8FDJxymAtLiUe8Myv5g5S9mZyxlsMd8uePdeLDn0tK3tdateVA5efHxi/SN0s3VnhMNs43fpqF64QcP0U7IuOAk2VZxZKulTRO0jxJb1qWNccYc6Ux5srQw8ZKWippsaR/Sro60XNDzxkpabAxZpGkwaHfJUnGmEJJj0i6xBizIkZVvLzy3ynL1eOuT7R0vf0LcTfFWhKQitvena3lm3ZrawojBgvWlO4zk3XZSCyf3lk/9cWem7RUh/z5Y6+bkRYfvY3wkVSSYOeSVDvyL31dqAv/+V3MiwK/yeQvWlxSevHhdmJkp2X7U9xuxBgtyWI/b/32vVnbV7aM/jF6AYa73BpsWc9M76zy8zlrb3GJCjemlxepOAvXTPkyEQCJOTHDSZZljbUsq7NlWQdblnV/6LZnLct6NvSzZVnWNaH7D7Msa2qi54Zu32hZ1iDLsjqF/t0UcV87y7IaWpZV27Ks1pZlzXXidQTVhHlrJUlLY0zzdEKqU9MHPzo5/ra4AvWV7T5dS71l1z7d/cGcnBsFSVeuz3BIZv32vVqzdY/u/uDAoX5P0f5yo3UIHpY9HRDrO54LubB27N2vtdty8+L4Mw8KNnw0a3XW9pWtz9/qrdk7jj+b5Wp8e4row+SDWOeyB8bOczTn6Ph5a+PmkEqmpMTSiX//XN8Xbk57/y9/XahfPJ16Jeg3p66oeGOe92nzkSMBJwTHUQ+M97oJZZw83gRtyc7b01ZoxvItXjfDtx4YO08vflWoKT9tSv5g5LwpP23S0Q9O0MqIANOlL36vfiM/c2T7Fzz/rQ6/m8pe+aokdP549NOFHrfEuUGZdiPGOLOhDH3w4yod9cAEr5sBHxuSYJAy6Ib9Y7KjucmcwuCvs2K9n89PXqoP4syoc6u6cLxLoX37S7Q0wwDyX0bP0fSft2S0jbBwM3NxaWckL3Jk+RUBpzyzdpv/pkg7ebyJHmXYubdY67btkWVZ+tZHyxJueutHnflU6iMF+aJ4PwfpXOLGX9OJZUZTCzepaH+Jvlm6MaUlvMgt4WUFH850d/ZIKue6+z6cq49ypFS5F4J+HTN1Wf4MtmzL4cpxhRt3afw8ah75lVNL5eavsZ9KZGrhpoyrCyeb/R99/Ht7eoxZRpJ+8kkqFj9wY4C7w21jHd9mUBFwyjGfzFmjDreOcbzs5M8bd5Ut3QuS0578Un0fmKBxc9bq/Oe/9bo5jvp8wbqs5nPIJqcCFOlOfAv4tYprUp1J6OfRqzmrtursZ7/RXz+a73VTMmJZVoW/y4IUOr9Iz9bdRfo5Km/Gis271G7EGM1asTXmcxJ9faLveuHLn7Rhh/8GiOLx7zc9mL5dmt2AU9Bmibtt3uptenDsvLx5X/j+Jubkx2DWytjnh1Sk2m95emLspaR3fVAxI42f81W56cY3f/S6CTmNgFOOeeTThSqxpGVpJpCLZ+DDn+uyl6cmf6ADNsWowpBMvMNjOK/VLf/LvQPJJS9+r0EPT/K6Gcgjh/5lnO3Hzli+RS9+9ZOLrcnMxh2lx5kFGRY58NqAv31eoTrP+zNWetSa/DH88S90/N8mlrstvEzijakVS2lL2UnQCiBz5z73jZ6bvNSR2Vd+DFpFB5juHzMvZ0vV+ynX48ez15TLRZmu/3wX+xyD7Fu+aZemFubPjNR0EXCCLW5Uf3PlHBxnmMaJToMTkzWm/LRJ5z77TeYbynF+7KDlu3mrt2nXPvtVpM586qu0K6f4RXjGyidz/Lu06edNu7TDp8n/4/Hb1zud9qzYnPpFTFGOXtAhN7HMOH+s2bZH4+Z4s4phtgMzfuIp3l+i83y0uuHK16Y5tq17Ppir5yeXn7kU71Tm48nmvpBJl6T/QxM16vvlZb9/sWh93Mfu2lesrxdvyGBvwUXACVkV65iXT8fBW/73o6YQCU/KZ9ejkDIKaiS6oH9/xkq1GzHGl6Vzwx3h6PwHJSWWdu3zV5AnMkgblM5lUNppF8etzPgtEClJ3/ko96OU3ffoL+/Pzt7OfCY8yJpPy5NLPPoCzlnlYsDJocFyHx6a9O+vftIDY2MvrUvl1OrFzDb/HOud74T8+l9T4t5381szdeEL32nF5mAPxqaDgFMO8Mv39r9Tftbe4sQzIIJ8geGfA2Tuc+q9Tnczfs495GefzU99hDScW2ClR9Pe7XzWxs1ZqzVbD5R2/8eERer253Hauss/QbLXvl3mdRMQEqtEtpT4eJTfszqdP946tcWYJb1zUKzr8lVb92h3CrNac0l4Nu9Nb83IeFv5/M3OBdk4z3t5/P+3j1Mf5JqFoRQOqawWyBUEnHKI19fIt74zS09+ttix7aU0o4Izuu9c9O8peuGLpV43I2ds2rlPT01crCteyU4utXT85iX/ti1aqsfLc587sBQ2nCNpk8flriNL7mZa8hiZC18zZHIuDmqw28tTcGQwGM565nPn+nTwkYAeZ7ww+FH3c6X2vOdTV7ef6M8dXb3cydhXSUDyFobz/cI9BJzyVKI1ptFSOS+llvA78YFoT1H8aZ4fz45dvtqJc+iVr07TIXd+nPmGXBCk6hGTF67XfWPmpfXc4LxKZ/1v2oq408uPuPdT/W3cAn0yN3jVIrOhaH+JPl/gdPnpAwcUO1Og56/ZpuWbsjdVeuqyzTFvjzfDJhWvfrtMt707K+PtnPPs1zrtiS8z3k4QhEep4737XOK548OZq7xuQtY8/OnCrO5vb3F+5x1z5OI7Xzs0PhAu5BDPdhv5Xddt3+v6DCSn8qXFa6cTfYJ08NFHGAGnPJVojWm2pRMkuvK16c43JOTjOWu0u8jf0x1zfXAqX5eX/PGtHzX8cf9dnM9ZtdX2jMOPZ68umzYcFg6U7inarytfnVahnHwm2o0Yo627i/Topwt1yYvf65sl3uVcGfrYF+r/0MS4989euVV/eGOGY6N+xSUHLgYjvzJOHB/ufG+2XnegEs73hZsrlIH229c71ePNlJ9i5+HL5GX57C1JmVf5X7Jl9Vb/VLoCYM9V/0l8rfDFotxM4JzKTFkvjt1BGjyHMwg45ailG3Z43YSsCsqhKyjt9JrX71OOx/NSUry/RMMf/1KXv2xvudyVr03XyY9Ojnnf5IXr9fGcNbrnw8zKAo+fV36W1+cL1qlwY+mUaDuzLHfuLdbb00pzs9jt+DgRI/rdq9P07g8rtSqDi9eSEkujpvysfcUlcb8ofH5Tk+qfNnJ5ZSzxOvt29uPm327ttj36eHbmFRf3Fu9X97+MKzez6KNZsWcdZ0M2liH+fVx2ZxbBH3I1juqnc4Qbs29ufWem9vh84NgvXvyq0OsmIA8QcMpR177+g9dNSNn7M1Zq0kL7S/1i8dNJFOnb41RCvSz3Fldv3a12I8bof9MySzTrp45SONCyP8tr8Wet2Krf/9fecez6UTNS2vZdo+fovRkVl+G0GzGm3OwjN69jV23ZXRo0StHoH1dpxDuz9OTExeUCGB/FWWaM7PH7xem5z32jK1+blvF3ef32vdqxt1gPRlRI8vusYDumxVmiiuxavmlXIGY5r9u2R2u27tGDY+clrPTFbI7s+++U5Xpr6vLkD7Qpk6DMTW/+6Fg7kon3Scv1VRHwPwJOyKqPIkZXo/sT14+aoYv/7Z+lftFIyhubGyeyCUnW3c9dtU3nPPu17yroLF5XOrPwvR9WZrSd9dv3Jn9QjojXGf/HhEWpbSeFPv26BO9vNqaX7963X/1GfpZWjqRte0pzPWyOmslVLvFnQHqX89ds10TH826l5tulG1MrUJFANi4r//3lT7ovzRmC2cwvlk2xPu3pfAV27XPmc4D0Tflpk/o/NFFvBaA6YN8HJujoByfouclL9fGczGcOumXCvLW2qpgG5LThunmrt1W47ZEMcqe9PT37n+XoP2Uqf1onu0BBCBzHE5myIFOWZen5yUu0dltpgYsvc3QpZyIEnHJAkL7QkQn6wmurv1q8USc+/Lnj+5q/puJJIx3Tlm3W14s36LMkQZBc56eP2b0fztX3hZv1w8+MSAdB+LMzY/mWuI9xalp9pp3mZB/zov0lKtqf2ZchPBsk02OKn76T6br0xe892/fabXt0/vPf2kocm4q0PoM2/5b3fDhXL3xZvoz1nqL9We0HuLUrP3+c8/ZiPMuve9G60vx/PyQ4V7jl5427yiqQpsrJGcBTCzc5+n2+7OWpuuO92eVuC9J1Q7YN+8cXXjfBccU+qxYXhI+fkwPaS9bv1ANj52tbqK+RaVqJICLglEOC2iHasbc445KUsU6eQx9z5qTxy2e+1oUvfOfIttKxY2+xbn1npmOj8Egu86BFAM6mNj01MfOy2G9OXa59xSV6+vMlkqTpPgoUxur4rNu+Rxt27I255K3v/eO1cktmCYSd6mzF+5yl+vGduWKLHhufvRw1ib4fq7fu1p/fn51wiYpThjwWO9dYupJdxLnRyd6+p0hd7/xYj45PbUagn2R6vLXz/GUbd+reD+fGTdi/cstubdtd8RybS8dyJHbak1/q+lEzHC1qIaX2vZ8wb63OfvYbvWpjRlImngmdi33BrWuXoF4UuWDFZn8VPfjbuAVeNyGpiQvWV5hJHm1qYewCItGynZLCjwg4wVFeH9+zkTw02/795U/675Tl+ufkpV43BUk4NUtn5Efzkz8oS1Jd2hZL0X5LT0YErmIl9l67bY++XbpRXy7aoI07Ul9S6FgQx5L63j9Bve8bHzOH1OZdzpQvljLrZ1uy4iYyt3sYnP7zZi3ftEunP/mVHnMgYPHfKelVtXtu0oGLn1v+N1OvfLNM38WpBOekLQ7+LSPFOw7EC15s2bVPY9JMuh1+De+ksGxjzKzVvuoAO1USPJHfvTpN//ryJy1aF7ugyrEjP9M1r1esaFVSYmnYP77IOC8f/C/8OYwcEMn2TKDwstclcT6nTlm1dY+r2/eDmR7MkvNa5Me1pMTS38ct0Lpt/vtbvxtKO7Fjb7E63Domo22t277Htbynve79NOH9Zz+buIBIGAMXUoHXDYD/feRAVRuUSqfvEs4pw+EqdUF9z+xcfAZtSvymnYmDSBdF5G/r0qyO2jSsmdZ+ci/kXJ6d12c38PmLp7/OrDEJ9r90/Q7d/L+Zth7/4Efz9bsBB0vy90hgSYlVlkMrkVTHPbJdmvs6m8n4s+WW0OckOhDdbsQY/f7Ejrrp5C5xn7unaL+e/KziLMydUcsh0s3NtmNvccycLshd6Vwc5uJgZ9B9s3Sj103Iqpe/LtQFfdtKKj0HTV22WU9OXKwfV2zxtmFJZHrK73v/BB3ToZH+e8XRzjQIrmCGE3KCfy9RDvhpw079nKNJW3NNpjOVIq9tnvl8Sbny4U7ZU+T+kiM3rUkwwrp4vXOju+/9sDKl2YHZGIlyag/xgo6P2lget267u6OeD3+6MOeqfj02fqF63hN/xDNZTGPp+p3asivxFH2p9FyRjmRLgZz+ZDt9jV0UsYwy/FqeiBFMivT85KXaGGPGpK+WDME2J8ZR9hTtd6RarFMyfUnJlvUE1d5id3PPBS0G+OBH8zJ6/l9Gz9Gq0HJ/y5K+Dy33SrUabhCup6IFMbh49X+mabuNAaxcQcApDy1au93rJrjGz+eXiT5KOr5w7XZ1vG2s183IWLIT48wVW9Pq0Jz73DdakkbQI1YH568fz9e1r8eeUbB1d5FWb/XX2nq3RAfxjn5wgiTnlsLF+3vd8MYM3T82fkfOzYliRftLEn6O3E5wHjZqys9asGa7pvy0qawS18Pj3MvZdNu7szQ/B2eF2K1EFe/P+unctUnzRj366UIN/PvnttsU+fndvjd3Oq93vD87+YN0IAG/WwI2kdRxz03yZil/JsfGDaEl2Y9mUFkszOulZ3eNnqNfPOPOTFQv7Snary53fKyRH7uXPiDRoJYfOfFdG/54ae7a4hLLF3mSnC7IEVSxziNjZ63xTVA8Gwg45YA5q1Lr2A9+1NlEqblknI9L2xbtL9GbDpUKfuP75b6rWpGKVDqj4+asTXn7a7bt0UMudoTCTvjbRB3z4GcpP29Vhkmr/SJe8u3SP29qn894uVnC2o3ILE9AOu4aPUeDHp6kddv2aM3WPWWvN1kQ9NO5a3XaE1/GTXBcxuZbNOKdWRry2GSd+9w3+uNbP4ae6u73f0mCQhBnubSUz23Jgg/h9zTR8WnttsRLS5emObtpxebd+veXhWk9N1VpLQ0P8PkG+cXpIGMm23vp68K0ZzymyqkclHbsCi15fW7SUtcGwTOtJhtE0UuJJWUlH2I8n8z17zWVZO9a4uZQn8kNr37jbnEAPyHgFHBrtu7Ruu2lHdhr/vOD5q/JndlLs1Zutf1YJzoI3y3dqN+9Oi3zDbnk2YjEupHVdBav2+5p3pP/TlmecJbOFA9PdpIcnbK6aO12WxdOdj+P6Sag7jfyM63cEqzlmbFO7MeO/CxmoKi4xNL4eenNCMx41lAaX6Utu/bF/Fx8G5rmvW1Pkfo/FCuwGLux14/6QbNWbk04e8Oy0gsazV+9vez50ZwsA5xIqlP8/WDsrNVJg5rh9zQb+Vzmr9lWYQT/7RQShzshlZf59OeZV7v8eeMunfvsN+XyaP2UYYXbZPLvkjV3ZDPPoZ9n1/ud131EIJG3HJiFFO9QlO4AUxARcAq4DRHVnNyeWm6Hk5Ws/5hGVDmTfv6WLFTKyUTkAStyidBJj0zW4w5UEsvEpS9+H/e+c5/7Rms9rJKRbpcz+gQxe+VWDX50sp6ZFD83yKUvxX8fnDa1MFj5cXK1Q75u2x71vOfTclX4Yokcbc3oMijiIJfJ9VSspx7y54914xsztGxjap2gacs267sA5lCIZ/rPm3XX6DnlLliv/k/FCmbRshmcGPrYF2XLUu3ycnnY10uSfz4i2xfrePHIpws0pXCTPoooqmB3mWPZPgghuW5/iaUZHlYIyzTgm+/LKLPtxxX2B5cBJ+wt3q8bRv2gD39MrzosUkfAKeBuf89enoNsSbcsNjITWcbXDqcv/pOt097l8MwJOxcvsezYa389+Sdz12phxFTv8HKoRB3pdGdupJPAecQ7s9LaV67bl+E0+kQXG/ePmVvhtvAM03SW48a7LrJ7wZNRwCnOc9/5YaX+9La96nJhv3zma533/LfpN8Znzn7ma730daGt6jm3xvge+jG4WuTgaFA6QZuvl2xUuxFjVOjAiO6f3p6l2TZmQG+NGERKd7lQ0KqB+sGTny3WmU99lXK/RHI2aOuXtAF2vi+WZZXrbwBeyYdj3hcLN+i9GatsFViBMwg4BVRJiaWPZq3Wjx6OIvlZKoGFXJDtstqpcusEZmuzEY/p/pdxKW3/3Oe+qXDbp3OT54SyZGn3vv0VynzHc8e7s3VZFmdHeSFbZaNf/OqnlB6fysXzP79Ibdtx92lzl8nesnS+VeHnTFq43tbjt+zap7+Nm+/psl2v2AnSJBtkeeWbwoT37y3eb+uYEs9Hs+2N0JY4eAy+4pXSpefpBHFOsJkQPdZnP/IV2Cn1fcLfJtraVyL596nP3LxQwYC1KSRtnlpYflmVE2eL8GBAqqL/5jNtfNYyPb29+8NKnfzoZE1cYO+4DCA4mFlLwCmwXv6mUFfZmOKfL6K/zKPSmGm10IH8V7NWbA1ECdt0OkdTl9lfZz9xQXYq8v3fv75L+phbUpytEWl/aLbMdf/9QZ+n2BE86+mvdMS98UuoRyqxpAk+qmIYZHbyECUKtqTbMUhn5kYm1yjv/rBSm3elf6yJXI6dyF9Gz9FTE5fouv/+kLUcT14Lx9bsVrl69dtlWrll94FAYsQf9vXvKp6L5q85UOjjrx8t0OgfV6XbVD34UeLiBtv3FKk4QeDsX1+mHkRdEGMmRjYTDtuVbo48ZF+q59dEkn0Su975ka0ZcmF//8T9WRBzQ8V/FifJE+e1zrd/pNvfZXY1/OvTuWs1bVnF2ZUfz17j6VLffEfAKaDWeJgTx88y6fQ+7EAJ3dOe/FJnPv1Vxtvx2qvfLtO7P5RPlJfKLKo3piwv93s2YvuJlrMV7y/JaIbG6B9XpbxcNJUE/pMXMarpFacKLcSqDpOuREGv8BFu1779uuV/6QdTE4k8jr4/ozQYMmbWat0XY0mhmzbt3KfrR/2gnR7NWF1hsxrkne/N1q9f+O5AlToZ7S3eH/eidtnGAwn/l292N/n/YXd9oj+8GT8f4ktfF6a9bTcnLUZuevG6HXrhi6VpLSHduqtIE+atjRkksyPZPp0sSoHs2FNUope/LpRlWWWzGCOXtW+0GYy3K5XPbbzKrX6xb3+J/hMjiA7E4sZAxIX//FYdbxsb9/7fvjJVv3ymYiXcK1+bpjOfCv71WVARcAqoPFhiG1iRFxORYuUzOO+5bzxJ+J1sedOd783WH95wrxSoGyYnmLXS8faPNPiRSVlrS6rfzyBW7fKr+Wu2q/9Dn+ltm5VFtkTNgsjOsdXeTvw2a2TtNmcvxJJ5fMIivT9jld6cujz5gx0SOfsoFVt2F5X77Nw1eo5OfeJLX1xAfpDBDCo/+MXTX+m+MfNsLwON9NtXp+qyl6e60KpSF/4z+SzbfJXKodTJJSd2A6FPTVysTrd/pK27i1QScQp2YvDRz+LNeEwnlySQbV8v2ZhxfrYsZXgowzU7AadAemLCIj0/eanXzciI09OGw1/m92asVLsRYyqUi/bS7n37tXnnPn04s2Kuje9+2qRHYnRuSkqshMsgUmFZll7/7uesjsRGdx7PffYbtRsxxuV9JpZW+VEHT0peVurzg2ye4Jdv2q2b/5dewPSHn7c425gEMk0ang47+dSy3Rnzk6GPfZHxNow58DmKV1Bh7KzVmrxwvda5eFxw6hxix6jvnQkKFu8v0bpte7QmIrgZLjqxNaqSbKxlE9GWuLxEaVYKS7PyRTrHj7KBuixemb0RCmQvWb8j44BXosGB8JbXbN2jEh/kwnshzjLauz/I7gxWBNOOvcUVjsVAMgScAuifXwQ72CQ5f/G9NzRD5KGPS/NZLMriOvhkF3CnPP6FetnM5RN24QvfquPtH6lww069NdXeTI14pi7brNvenaU7IioaOn09mWy52sYU8lpNmJdeAl2/V9a4ftQPXjchr5RY0p6i1Je5LduUeRWtZJxKGp6ObXuKPfmuBDHp+JiZq9PKcWTH1f+Zrov+PcXVkuAdb//ItW1L5c8jdnOCSdIR936qLTHyjxkj3fvhXPV9YEJZ4mkp/mDCpDRyBcb66Cdashm8T20w7SkqHxx1O+htTOnAhCT94unyy2+iZxwnmj1txytfF+rtaSt09IMT9PhnsWe0Z/NztiHNZOqAJPW65xMdfvcnjm7zu6Ubtbc4P3JE5isCTkjZG99ntn57zir3OtjhJKFedBLjRfx/SmNmzbdLSxN0n+bAkoxwol+7FdNiSXYicCKnWPH+EpWUWK4uf0hHOgGwWJ+/yA71nqL9uvHNGek3KoC8WB6WTqcoeoldIgP//rkmzKt40TsmxmzGWNZu25tyICYycJyOTTv3Jc3bM8uFIMizk5bYetzS9RWPl17Gku/9cK6m/GSvYEI4kJcvE8QKN+5SuxFj9P6MlSk9b9POfXpnesXnWJY0Psb3KRN2Bjs+o2BDQl7lUEuXnXPNmgyXB09M4TOzaN0O3fRW6Yxbv1cUzpZMcsfBW0X7nT8hn/f8t7qHGXY5jYBTAHk94nbfmHkZPf+5SUv19RJ3T7rZHMEP78qN6Px2Bzp6mbwT4YvEzTtTmz6b6tu/fNMudbz9I1384pTUnhhhrwt5kLbvKU4rABbrojlyxHb0j6tiXnDlsk/nrcn6PtP5TKR67Hh0fMUlsde8Pl1H3vtp3KpukUHoWPm73D56JVs64cRxJ5rdwLsfC2K8+u2ypI+JvMTNtyWJ14+akfJzMv2MOxnATtQWP86cvT/LyfvTTWzvw7euTPSspVTbeulL3zvYmopWb92jHQEL9KVi/Nz0ZrLDP35cviXtnIexLEyzsEM6snmO3lu8X8s3uVscJAgIOAVQvJwQWZNhJ2L0j6vKcjKgvOWbduk5mzMBMpLgYPtERBLzkUlKbqfqjvdmacn68ssdLctS/4cmSsps9M/rJWuL1x04WcZaXpJn16AVhJcv5IuNO/dpVZxccjdHVJdzMlmun6V6QRe5pMoNXy+2f6yxm3TbzxfYiaRSIt4pS9fvqJBXMN6gTdygTxpXDW7M3su2f37hzDLPrbuK4gbFI6X6uU7vYi77ScP97JO5a3VWgopaH9icRRtLLrw/8N4ZT32VMOfhrn3FVGCWdNObP+qq/0z3uhmeI+CEnJTNjr+Tu/r1v77Tgw4HeVIdoXWzQstr3/6sq18rf+B16m/ldYqYkx6ZnPD+ZJUB4Q9uHDtSLvIQ0MBFJnbtKy5XyTNyJq0bb8ef3pmZ/EEpCh87k82++d2r0xzfdyZOfeLLrO/zP9/9XKHC28K1sXMvOnlsv+XtA3/37XuK9NykJb6cxZQNh9/ziQY9/LnXzZBUupRy9779nh36ogfC/CBRLlI7CfOBdDiVEPxPb8+KWSzJLe1GjNF6H+YnS6e6ai4i4ISUrNqy25XlFk7zZNZABrvcGsobs2OvezO/wgGPf05eqskLXV7S6OrWg6lSxDUooSf/ciNw+WaCxP+JrnX9FqN0sz1/eGNGheS90ftbvXW32o0Y4/uLLb/93fxq1sqtGeUWTPdt/iI06n7/mHl68KP5CfNG5XosKt4sTC98FTHrMNs5/3ZkaeVAvOBmUD9nW3cVqd2IMfrPd8mXHSMYVkcdEyzLSqvox8I12VsiF2Z3iZ+b11qIjYATUtJv5GeObMftzkRRcbDO3iUu9jait3z/2HmuL1dJlDsnOhi4LsMRic0796nXPc5WzHDD3uISHfXAeH2eRmUlZM9LX7tTlSye6O/nxh17tS+L5eyzJdkgwLg5yXN6hJfcvv5dZoUr3ObHeNNHs7KfQ82Ov41bkPV9hmcchtMTfLNkY9zH5suS10TS7Z549d6l8/3LdCbG058vzuj52eTkbOtwUZu7Rs9J6Xl8q/xt9dYDKRBGfjRfB982NqXnfzp3rRakmJPp+8LMB5LsHqti5c50i+dpcHyCgFPAbNvjzFRHr7kZYJGkKYX2qgo5wdnp+O69L5l0MVLpOJaUWCmVET76wQnpNKnMdz9tLKtO6GdL1u3Q2m179cDYeSyv8zGvP0tH3jc+7n2RncB8En2MdeLr4/SMBjvV0Lx0wxszvG5CTOmWnN+wY2/mnwNzYFvxfLU4fjAqX3z3U2rvQbwBRbvVOzOVzndxzKzM2jZnlf1BvLtGz9HxD03MqUTCblQug3dOffzAMutXvkl99lo61Z2d5tZS6amFm/T+jJX6binnhlQQcAoYL6YouiEIJVGzeXHnavwhy/2AXvd+mt0dBsTOUHLWSgSbECFRp6ikRLrqtWllSZ2P++vEbDXLce9MX6mlKeZJqXDh6uCxzOvAIkqFZ0ik6pEMcw0W7y/R3iLnllUsWLNdGxMEroLs7g/mqtiBWZf/m7bcgdYkVry/RMP+ET+Rsdd27duvl74u1M+bdpUVSwH8JpMBlNe+XaZR37v/XY/FThch08D32c9+o+tHzdB5z3+b0XbyDQEnII5jHrS3fDDWAW5v8X4tSCM46ObEr2zEOZZv2pU04aDzr9H7AI4fE44i+Jas36GPZq8pq8CYTh4FP3l/hr1qb/GEZ1qm841/bPxCDfz75xnt367HP1usFZvzczZaNqV7LjHG6MrXpiXM3ZSqIY9N1pH3jVdJlr6jf35/dtb2JWVn3MoYqTjGTJkl63dop83coft9ngxpfo4MGs9bvU3tRozRz5t2pvV873ttcMsd7832bN+RA3iRh4L3Z6ws+/ma16drzMzU+iLrt+/N2xnmTiHgBDgkspvz5/fmaMhjk7V2m72EnOGRfDe6SpnmUVi/fa/t4NsfUly28fa0+MmUg2RNColXK5lsp0OFn9n5di5Zn16n3m/+MWGRhj+e/uyDcAcyMni+r7hEKzYnX5ry2PhF+mlD9t7HHQEoruFHqcx4+seERWnvx8lgU6QSy9LKLbu1t9jdpLSvfLPM98GLVGM/m3bu0z0fzpVU/js+6OFJuvTF7x1smf9kM9/VOpv90kTCfbdP5qa3dMrfYUFEClIeu7s/mBvz9lkrtpb7feKC1JZy97l/vO3rIMRGwAmQVJTBdPHw2v3IztXUZaU5pLb7KOdWukGOVBKMp3pauumtH1N8RkVBW6G2OEGpYyCe374y1esmSJL+9eVPuv3dWWk/P5VcJ9Hf7fDx5c2pK/T14g3aubdYI96ZqeP+OjHmDIiSEkvtRozRDaEZYoAb/jZuftnP+/aX6NiRn+mmN1M/t63asrts+awdTp377OYGXbxuh+7+YE7auVGSzfpLFGycUrhJW3cVaY+DyyBT8dn80sCKZVn61Qv+XkpTtL8kYfVHu/mWxs9dq1//6zvXcuEAToscVOJT6y8EnAImXKUHzrp/zLy0n/tzjMSPKc9ICHUc3Tix+62v4LPmOCKV93jf/pLABcngHrufnU/THEl2kpF074dz9R+PqsRFBpUufOE7XT/qB308u7T6WqwL0XBxivcilvItXLvdkRH+XPNlHvUtnD78PjVxSdnPO0Pltj9PcQRdKq0CfOoTXyZ/oMMeHDs/6WOMpCtemaoXvypMOlMwPOMw+jy3LMMk2Yff84lOyWCGZCauem26JOmBsfMcTST/zOdLkj8oRX96e6aOuPfT+Hm3bH4BLn9latJrDuZr575c+BvT5/YeAaeA8aqjn8u27irS9J8zL8cZW/aOcskSlqZbGW23zRHFW/73o3bvS/5Yp4NqnEcQaAm+Dq+mUR3GTV4Fi+8bM09L1u/QfVEDA+PnrdMuG8ecSCc/Oll9H8isMmYuSlSpLde4mYsjnCcsG+elVE/pm3bu06oYs4h277O3/NPu9//H0PKVVHPO2ZlNvdTj5cX//OInR7f3149Lg32x/i7pemd6ab6a4jjvvx/6TKnMnEcwWJblq9lwXs2GRGwEnBBYTuXIKHHoAJnJOudwxzGTlqx36YLBbvnwN6eu0FwbnQin89GkG0jz0o1pLLdA7ireX6LRP66q0Fl7Y6o3lV7iiZxlVby/RO/PWKmXs1RxdNDDk1J+ThCPDXDfwrXuLWtOt18yPuK7tWitO7mZ+tw/Xv1Gpp+HJDyzya1LynFzDrwHH/y4Kq3KeG4F6S1J3xducmXbUvnX7pTX4wxQp3pcTFTR8+3pqefh3EqF0EBJNugcTh3S/taxcXMo2ZUsDcm0Zfa/g+9EfDad6gvYGVRHbAScEFhPfJZ+wlC72o0Y4/o+wvo/9Jm2OHQi3rRzn/70v5l65ZvClGcAAMgeS5aenbRE1/33B32YYbnebHpu8lJdP2qG/jJ6jmv7SKWLuChGbjTCTfYFKTFsIKT44bs8IkfbJS4lyI4348jORKTTn/zK4dYktnlXkf42bkHK+TWjZ0E6ZV9xic559htXtu2WcAL2aKkeF79ZUnEJYSZHC7cT6iO7IhNyv5ThAFSi3Hf7ikv0y2fsfwc37yrKKD9vLOf/09/52/yMgFPAbN0dPxFgvgmXz/15Y2Z5ATINfE9fFn85XirbXr7JuSnVfxs3X29MXa4/vz9HD4wt7YD9vGmXfveqPxIPOzntlotKBNkzk5boic8WS5K27ArO8X39dveXYNmZMRn2yCcLXWwJkJrI89KPy7ekNDJut1JfurlVotsy+sfkJcIjv4vh0/ebU5cnzEGU6Wn+uclLdbMDhUXy2d0fVBwQSNQvLYkRfVy9dXfG/ezyDXBuU3CX3WWxi9c5MyszVk7csGtfn57Sth75dGHZc5zqW/24fIsj28lHBJwCxm51iXwQ7szc82HmI+wzo0pmpuKlrwtTmuYZy5qtziaxjezorQ5te/G6Ha5M207Hf6f4a6kQ4JXnJi3V3mJnR+GyYaFLy34ifR1jZB3usBsc8FPlVT8LL+HYsGOvznjqK/3xf+4HTl74Yqm+Wpw8+fvN//sx4z6LJN3yv5n668fzNcPmRVg6cYb3bQTDgu7rJc4l7P/ftPJL3F78qjCl5783Y2WF2+4bM0/H/21iuduWZ5AAPheSUOcLu8f7kx6Z7Mj+Fq/boW17irR0/YEZy9v2FOnnjbv0SRqFU8LXPG9OTX3pJ5xFwAmBN37euoye70Sy1HXb9sbssNstcbzdZp6kRCJP4rNSKK2czJMTFzu2rbBP5q5xbFt+SNPCchQ4YdLC1CtbeYVgUG557dtlajdiTNKZa89NWpqlFgWbMaWFPHrfN16SNHPFFlf2Eem+MfP0qxe+S/q8mSu2prQ0Jdob35fPDXTmU+4tt4vVr8ok2OFHF/4z+d/Mjuk/b9YfbcwIS5TDbLXNwc90Lv4RPHYGIpwcMCsusdTjrk904sOTymbbnfnUVxUCnggeAk4ILKcu8p2KzMdqzfWjZth6rtNBkzmrnKsAkqwEsteu/k9q02wBv8o0eJ7PZqzYkleV1pw2/ectkg6UtI+H4Lo9RqktCc1UKjPPMv0bOl2pLVX9H5qo75ZuVLsRY/Tm98yWDttpM2F9ogpxTgx+JuOHQULYY+dIMep7d6qnhws6ZVqZcuJ8+lV+QMAJgeWj6ptI0ecL1qe8HjueIC5HAuCsfcUlOv2JL71uBlDmpSTLmV74YmlGhUkir9tjDbxMXrhe98ZIHJ2tvtMNb8wov18Htx2eYfnyN4UObjXYkv1db31nlo5/KPFMkWcnxc/J5VSFLuJNwfB94SZb+Vbt5nlKlVNbnbPKuRUfSB8BJ8AHYlUByXVBqsgFwP9WOZwLDxUx0GPP5l1FmhAxsh7rfcu0otr7M1aVLdufGzWreV9xiS769xT968uKs5FWbHauQEkyT01crK0OVd+NNGF+6ZIuZsscUJLky/nfKT8nTMoctmHHXo2dVbF/9uk8Z5bROVWiHu4659lv9IGNHGpunRMsS1rkQK7Iv1NQxBcIOCGwxs1xLg9QpjI9f/5t3IKM27DD5nRqOGfOqq36d4wOPQBvWZalK16d5nUzAifZxaDdHC8ob8Xm3VqyPn7unHQ8OXGxTg3N6tu4s3wVpvEOBQcy9bdxC3TH+7MlOTuzZfbK7C1X9KtlG8svNXLquv+Uf3yRVqqCKT9t0lMTF+uaqNnr67btUbsRY3T+8+nnDYM3ltkIULo5BmEnJx2CgYATAmv11j2uTeVM1d7iEs+r9/zyma/Lfj66Q0MPW5I/hj/+pe6JsWQBgLcmL9rgm4vuIFq8brtGTSmfm2PKT5v07g8Vq1jBnlv+NzPm7YUu5ElMNtvFadN/3hz3vt373BsMy+eKZxf/e0q53+0sf7JjXZzCAck+p+c+943+Nm6BxsxcXTYAOmrKz+r7wARJ0rdLN2n7niKtzOIMO2TGzkeq2KXrsNE/ror7WUTwFHjdACATdqZ7ZoPd5ODZks+dsGxYvG67OjatU/Y7y0wA/9i+p6jCxRhSM+SxL7S/xNL5fdtKkvYW79e5zzFDIRPTlsUOypzw988d31e2z0m/ePprFY4cHvO+8fPWadaKra4sf8vn1Vn7ovJXuv0335lC4LD7X8apcORwjXhnVrnbD7vrE6ebBY9Ndqm6rp2KiwgOZjgh0KJPuCiVz52wbNgWVcll5RZG7AC/uIhgU8bCs4enFm6SJN3zATM5nbA5aumbE7buLj+72rIsvTN9Rbnbwrme3PZDnJlOl77kzncy+rXnk+jlr24HnJiZlH+yWWkTuc2RgJMxZqgxZoExZrExZkSM+40x5vHQ/TONMUcke64xpqEx5lNjzKLQvw0i7rs19PgFxpghTrwGBBSBlZgIOLmrJGoK8a1Ro3gAvPPDz1u8bkLOOPvZb7R9TxHvqUP2uxAVmLWifDBp6rLNmrig/KyDUx2u4HjKP76IefuaBDm+3EiBsGzjroifnV+a6GeVoq7g3J7URqGX/DPlp01eNwE5IuOAkzGmsqSnJA2T1E3SBcaYblEPGyapU+i/KyQ9Y+O5IyRNsCyrk6QJod8Vuv98SYdKGirp6dB2kIfi5UTIdyypc9fb01fqtW+Xed0MAFFmLN/idRMCb29x+fLnRfstRrod4sYsFCsq1LBjj/sFROJ9Hjbtij2Dy7JKP0du6H3feL33w0pNcmlpj19VMkYTF6zT/73wnYr3l2Q9bxcA2OXEDKe+khZblrXUsqx9kkZJOiPqMWdIesUq9a2k+saYFkmee4akl0M/vyzpzIjbR1mWtdeyrJ8kLQ5tJ+clSsoIIHv+O+Vn3fHebK+bASBKvs1ycNoPP29Wz7s/9boZOWv1VueXJf36X1HJo6MCUMX7s5d6wI0E6Mls2LFXd743O+9yKS7buEuXvvi9vly8Qbf8b2bevX4gF1zzn+l68rNFXjfDdU4EnFpJWh7x+4rQbXYek+i5zSzLWi1JoX+bprA/SZIx5gpjzFRjzNT164M/8pGNUSsEX9H+Ev3kQacPALz24leFXjch0O7+YK52F5Wf4fT4hNzvDGfLs5OWVFiS7bTfvDS13O9HhaqEuW3R2u1xgx4bXchdFcmSc1XaguidH1bq8wXrvG5GOfdRwRdIasHa7VqRB/nRnKhSF2vtTvRRP95j7Dw3nf2V3mhZz0t6XpJ69+4d+DPR8Z2beN0E+NzWXUU6/B6qgADITyypc95LXxd63YScMXbWGv2p6kz97ZzDs7ZPt4M9YRf88zsd1KhmVvYVbXfRft2V54ntR32/PPmDsuiFL3/yugmA742/cYDXTcgKJwJOKyS1ifi9taToWvXxHlM1wXPXGmNaWJa1OrT8Lhy6t7M/IC8RbAIAwL/emrZCNarmXurRDTv2asOOvZ7s242E5AAAZzixpO57SZ2MMe2NMVVVmtB7dNRjRku6KFSt7mhJW0PL5BI9d7Ski0M/Xyzp/YjbzzfGVDPGtFdpInJqIAMAAMD3XvmGohMAgPyQ8Qwny7KKjTHXShonqbKkf1uWNccYc2Xo/mcljZV0ikoTfO+SdGmi54Y2PVLSm8aYyyT9LOmc0HPmGGPelDRXUrGkayzLKp9wAAAAAAAAAJ5xYkmdLMsaq9KgUuRtz0b8bEm6xu5zQ7dvlDQoznPul3R/Bk0GAAAAAACAS5xYUgcAAAAAAACUIeAEAAAAAAAARxFwAgAAAAAAgKMIOAEAAAAAAMBRBJwAAAAAAADgKAJOAAAAAAAAcBQBJwAAAAAAADiKgBMAAAAAAAAcRcAJAAAAAAAAjiLgBAAAAAAAAEcRcAIAAAAAAICjCDgBAAAAAADAUQScAAAAAAAA4CgCTgAAAAAAAHAUAScAAAAAAAA4ioATAAAAAAAAHEXACQAAAAAAAI4i4AQAAAAAAABHEXACAAAAsuS6Ezt63QQAALKCgBMAAACQBc3qVtONJ3fxuhnIEQWVjNdNsG3sdf29bgIADxBwAoA0nHZ4S6+bAAAImJcu7et1E1zxzK+OqHDbOUe21l9/eZj+fGo3V/f9+uVH6W9n93B1H351QpcmOvvI1l43o4LCkcNVt3pBuduqV6mkYzs28qhFALxCwAkA0tCnXQOvmwAArimoZDTn7iFeNyPnlFiW101w1DtX99Nlx7XXsMNaaPS1x5a776RuzXRen7b6zXHtXW1D7ajARj6xLOneM7qrSZ1qXjelgjuiAo0llvTgWfkZGATyGQEnBNpj5/X0ugm+c/fph3rdhLzwyyP8N6II5LtfHNHK6ybkDEtSrWoFmn7nYA0/rIVm3nWy103KCeF406k9WnjbEAfUrV6gI9o20J2hwMJhreqVu3/Ioc1d3X+3FnUlSe0a11JuhfHsq1TJqEbVynr03J5eN0WVKxnNuutkjbvheElStYLoy8x8/SsB+Y2AEwLtsNb1kj8ozxwS6oDBXbWq5e+IKuBX5xzZRtWr0LVxUsNaVfXUr45Q3epVvG5KTgjPcMrmgNmSB07Jyn6MiZ9PaHC3Zo7vb+z1/UNLt/Lvsxme0XRwk9qSpLYNa3rZHEnS0EObq071KurSvE7M+5vVrZ7lFiFdx3du4tm+TzmsNFA9rLu7AWtkD70yBFpwUiVmx4uX9lHf9g29bgYAeKJKZaPfn9jJ62YAcYVnOBVUzl4XvHIlo1uGdtEfT+6ctX1mXZ5NnrmkXztJUoIYX9YUjhyu724bpEeTBFHr5GFgMIga1qqqV37TV29fdYwn+69Xo6qk0tl7yA0EnBBoiUbT8lGtqqWzbqpWmMYMAAC85lUOp6tP6KhrPQzG5ljqKt8I94K96g43D81aala3eoW+Z6w+Ot12//vw98dJktp4NGvu5G7N9OujD9Jdpx1IEfLViBM9aQucwVUpkEPCJ/KDfDC1OpcFqQwxkG+GHOr80p18cH6fNuV+H9ilqUctyW0dGtcu+7l+zfyZ8XFwk1qubt/KsylOVlQEr0bVyp6048s/DYx7Hz2lYGpZv4YkqWkdb5ZAVq5kdO+Z5RPhtwq1CcFEwAnIIeGTe65VwfEbRugA/+rYtE5eXcg7JXo2QqwAwdUnHJyt5uSkj67vr3oRn81BXYMZHLXzObjwqLblfv/jkC5uNScvhbt54a9t49r2qtR1aOxs4C+bS0ORfwZ1PTDwcUHftgkeCT/jKIFA47q/vPAFA+Emd5moT96IYV09agkAOMMYadodJ+nagR1DN1R8TE2PZlHkiujBigd/cZg3DcnQFcd3iHvfMR0aSZKGH1a+Cl8VhwMT0Ref+TrOFt0f8RMG55COyK/yU786Qt/dNkhScI+XIOAE5JTwyb3PQSQOd1VUJ6oWF2GAL9SvWdXrJgRao9rVypbmxLqQzdeL+kz0PqiBaoeqmka/p9nItxhdbeqpC49wdX/ZCDK8fdUxeX/xmeyr2KhWVf3t7B4Vb6/NMRLBUb1K5XLVDZm9HEwEnBBouTJ64lROoINDuSEa0qFw1RmHt5R04O/GNRjgDx2blh4DCYxkLtb5lbc1PRf3O0iS+xf7bRvW1MioQEzNKuUHRIb3KD/zKB2JZtVcdlx7SVLX5nUy3k9YneoFSR+Tr5/NeP3gaXcO1jm921S4/elfHenYvsOB1Hj8PPsK/lUlwTXRq785KuXtkXfVewScAB+oXiXzGTKHtKhbLjcE3BMeWf34hv55P8oK+EWjWgTaMxHukoeTEdNHd85Ng7to+p2DbefZSceRBzXQ5FsGelZZKmzQIc1UOHK4Gjn0Wm8a3FkdmtRO/sA806dd6Uz2o9o3qnBfogBdZCLmTFWpzEECzjvm4Iqf6bB4AdahhzbXy7/pW/b77LuH6NXLSn/v2aa+k81DGgg4AT7gxCl71G+PLvvZ76P7Qa82EU6S2bFpHZIYIq84OWshmVQvjK4/6UDJ91yZ/eqFknAyYpbUOaZSJaOGHgVEG9dxfr+1qxeoc7Paeujswx3fdrRhhzW31UfKt8/mMQc30tx7hui4To29bkpcsY7DkcujgFiiC1jYUbNaZQ2IWD5cu1qBGoSW2POZ8x4BJwRarkzXHdjV2fLTfi8PnGsXg4e3ru91E4CsGHJoc6+bEFe+XXC6Jbr6Vbn7fH5u8RMnlq454fZTujm+zcqVjD75wwAN7Z6N44HR8RWCKjGCoXn42axZNflSw0hHHtTA0f0nCwz0aF2vwm3ZyFsG57x9VT/dOLiz181IKrycPlL3VvX08DmHa+QvnVmJ8L8rj3FkO/mIbz3gA5cc287R7TXwMHFuNRudiao5Vkb3cKbrIk80revekqBo9Wukv0SY4FP6qlUpPT7HWurdsl6wZ6dm08XHtMvq/uJd+tfIgaIWJ3Vr5nUTAuWlS/tWuO23/dvr7av6ObqfZGOHrRt4u7wTmTvyoAa6blCn5A/Mklgxzicv7KUrjz845uN/eWRr1al+oC9RtXIl/W5A/CqbifRuR0GmdOXWVR/yjh9myjxxQa+Mt1HZ4RcSTtrphVMOSz6qe8phLXS9j05gAOzJZiCna4u6KT3eimjcCV2aJHgkYgmfhi7p107XDeoU8zxyTu/WWW5V8Nk9vZ/q0IyoFvVyb/mInRxOJAY+INZMptuHpzfT7eJjDtIl/drFvM8PfXA4y+t8R8ny3MVa2XJqj5aqlOT7/+2tgySVDopXKwh+ED5oCDgh0Fo38Pdoq53KKpLzJ+0qDs0gmnTzCY5sJ1olI/1hcGdVr8IhCAiSbE4cSnZYjM7xFNm2v/6yYjlw2FO9SmXdOLhzzBlOxhgd3SE3Rnn91n948sIjHNlOhya1dcfwQxzZll/UrlagFy7qnfAxZ/UKZjD0rw4t93HS+9ccW/bzZcd10F2nH6oPf3+chy1CtmSy5DEbwe5k10tnHxn7OBDOoffrYw5yJBlLzRyYOZpNXO0h0NJJLOeGevGWfqRwdfbGFUcnf1CWHdSolivbDb8tz/yfc+V5AbjvnDidOTckO7x/cctA1YhT4TMyWPL65amXUUZ8PVzMWXdTFnOF+CWR7D1nHFoumNK9VWoz+2LxulJdOjo0jt3fCB8HTurWLOHy9aDmBjqvT1u9dGkfr5tRTqz3uXurivmYnCl5Az8ZmkGexkNSnJXshr+d3UM/PXhKhdurFlTS0gdO0c1DujgyyP/Iue4XTMglwTw6Az5SpbLRZzcN0Kd/OL7CfbZnOMnoqA7xy4DakWxfLetV1zO/cmYENRE7Sy7IrwIc0CiielXhyOE6PEaiVb+INevFK9WrVFbL+geCBvE6uxxu7LFbhMPNS8zfD+qUd0ujLjqmXVmOojHXHaf/XJ7a4FN4xlnkRVQq59gRw7qmtD+3XHhU8oqvufLJmH/v0HK/H+FwMm8nhGcAJro4t9vHRXBcmkFO2WZ1q6tw5HD9+OeTM2hB4oNXsmCRMSbuZIRKlUrvc6LgVH0Pc+UGEQEnBJZfktgN7tZcjWpXU6dm5cuF9zu4kf5rc9aSE9H2ZOuXWzeo6fqFV+HI4ep3cPISveFqMpV8MkMN8FKF7yXfC0nlLy5vHdZVFx9zUIXHvHRpX91+yiGactsgHZ1h0B7+cF6fNrYel+nXxHJo5OPKAbGT1abj0Jb14s+YjuPGwV0y2mfTOskLAfQ7+MB368FfZHcJWKxCJEE/REYH7utWT79AglNuP8X+MsyPb+ivO4Yfold+UzE5OYItXrDmvYhllm5Kdlh2IlhUUDngB5AAIuCEvNe6QQ3ddkrsEb7ImQfxVI4T6HnsvJ6uLUlLVzr96youHJhLQu04rmPy4BSQb4LSFSocOTyt58VbBhetcqUDXRRjYpc9btOwpn57fAc1TbA8Kvq4R+6F2OrX9P6iV7I/I+33Azu62g67IoMx2Z6d9ZADucrsBG+e+b8jy5a89W3vTg6vg+MkBs/nSmfZXGLas239mLfH6jd2bV5Xl/fvEMilm0iPnWTiTgSCkx3/w/voFKM/YNfJGVS9HHtdf4257jjVqsrsvlQQcELe696ynq6IU07z0xsHpL9hv101ptmed65yflQj3IGJF6wLuuhkxkAi4ZkWDUIX/EEfvU/mcRuVPcffeLyqRRUVSHc+ihX1zPopziDJByOGddW1J9oM4OT45zNVkZ+u/p0ODKIc1qqeDmtVT3ekWR0smbHX9de5fdqoS/PS2dVXuxiAc/uY9NplR2lg16aeVtjNd32iSr7n+nkIFf3r4sSJ+bPh0JaJ80B1bFJbFx9zkJ77dfo5YAsiCit1aJLaxIBuLevq0Jb1dJiPUx/4EQEnIIGGNmY4OSF8Yo9VytZJ0RdedjSs7fx74NRSBsmfnaKONko4A5H+fs7hZVPWffiRzrqOTcsvUXZiGn3YA1leEhQEVw442HapaCf/FhnJ4OA/0uHPQDh/2K2hZUnn9W6jGlUr64PfH5cw0XUmuoUuzOrVqKLCkcM1sEtTV/YTzY0cjMeFAnVOJEx3w+mHt3RsW12b10n+oCSykZyZXJv5Z9Ah6c/8kaTqNs8hiSQrBlWpktHdZ3RXBwf62Y1rV7V93Lz6BOeWTucjAk4IrMp+jDRESKdTbjd3RTr89G452Y/x0+sKSyewh/x29pGty5bg+qX6plvSeXXGpH8BVLta+anvJPvMTOdm7gbUs3Gh6+RgkmVZev3yo/TGFUerc7M6+v72k3wf1Lzi+A5lMyptL/3PwmHJr0GOTBIpR3rjiqP1+m/tJ4WPt2Qt3tLNdANj4QThsbhxOmrTMP7+EFw3nhxaAurzLky4efVrVrXd1FN7OBd0zkcEnBBYvz3emanXfggOlAWnXGhK52a1NahrU913Zve0OnNuLD9xcoYTEHTR34azerXypB3ZEusC5rzebcqqbTmtV9sGeiJiGZ/P+8K+Z6cwhF+ddMiB0Wwnz0INalUtqzTbpE413y8Xv+2UQzT9zsH67KYBOqJt8pnV5V+Nd+fvoPccjurQKKVg5xk9W+r1y4+qcPvTcSoOP35Br7Rz62VTgzwM+let7N0lt51ZdY+ed3jG+ykb3PFJvth4DmpUU9cMPNgXSwjzBQEnBFZNhxK23XNGd0e2E82JUaGpd5yU9nNvDZU67tC4tv51SR91alan7BxwaMu6Osnm1Nla1Qr06mXOViI5qr1z1aRa1PPfSBnxNGTiVzbKg+eav57dQ6OuOEaSNKBzk5iPCedMePb/jtCSB05JafunRYz88/XMTKaDNJHJ372Kyzg5i7BRrWDm7DPGpLQsxU8htGy3xatZp8YY9YtRXCWbybrpzzjjH+f39Gzffzs7cTBp6QOn6KxerZNuJ3IpZ992zg4Q/f2c0jamMiDdp12DspmaqTDG6OYhXXVQo1q2r9VyfOK56wg4Ieta1otfTcgLzRJUN8pEKpWQTNkEp/IH2sa10+/Ihiu7xDpItm9cS79JYYq4k6O17RrV1EkZVIiIFp1YGHDLiGGxq1lmKrp/lfNL6hK8vLn3DCkbdYx8WLeWdXVE2waaedfJGtq9RUbHpNx+d/3vf1ceU/Zz7MChvQuOdP6O1UIVEp2qJtejdf4ljyUAkXty/JTjC16+xwVJZg9Vsnk8HBWxHPQ/vz1Kn//xhEyaVU46S93furKffvjzyRnt9/y+bVWnGhXn3MaVWsC0qu+/2Rx+dEm/dp7u//vbT0ppBpabJ6LIbbu5lM3umvw61Z1dohe00qStG9TQd7cN8roZCGlQs4r++kt7+Vaiq/jAvmHdm5f9nCi/Xc2qBeUqyEjStQM7li3jquvA8YOLq8xk+jeIvLBIN7h675npzUy+74zuum5Qp7iz6FLRuHY1vXu181Vc/cgYk9VA+AldMv/7OKlWCgOIQfbBtcdVOB+68WfPx0NwdPfbieTxL13aJ+NtpKJexGyiKpUrqbnPJhCk4+AmtTXr7iFeNyPnEXBCThrYNTvVWuJpUie1mUkHNSxN2pmtkUNjjOPLSt6L6Hj3aZd6tb10K/lc3t9/ZZSTvbduzapD6rq3qqfz+thbwma34z3hpgEZtCi2KwccHOgBh8a1q6lD41By4hSnsDer68ySpdcvP0pf3DLQkW3ls+pVUrv4TvXYbuc8eM6RyZd/xNKgVlXdOLiz7RH9RBrXruparqZMq7U5cTHrJb/l+OnULHvv52cunD/sOqx14vNh33YNdcvQLllsUe6IXL562XHt9fJv+macb+voDumnp5h8c+bnwupVKid8DXWrpzDwnnFr3MVAVWYIOCHrLEktAhQVf/GSPhp6aPPkD0zTmT1bqoYLo2fZTobeKGL5XzoBlYfP6ZHWqLXdUt5ApiJzzyRycIrles/smbj6Sc829TViWFd9NeLElLabDYmqG0VL94jk1JGsX8fGatOwpg5t6c4SqN8N6GDrcX6bvZGqVGMs717Vr8KxfUDnJnrsvJ5p7f8XR7RS9SqVPb8AcHOAqPdBFWdTnte7jRbdP0wfXHtc0sBpu8a19Ppvj9K1Azs61qbhh7WQVP5c77RcXK53UKPU8i05Ue490pMX9tLdpx+a8DF2qyq/eeUxuvqE9D5T5T6zXn95PRCeDVTJSHee2s2RgUe7wf/oSq2S1DbFzyWQCQJO8ITbJYOdXDo2sGtTdXK5DHSYG32tyI5E+G0xSq1jZ7czYkeiQNivjz7Isf14KsF7G93POjvNkXpkXypLid67xt5Smycv7KU/nxb/YuCu07rp+V8faXu/2Tb62uP05u+OSf7ANDh53IlUuZLRovuHObrNagWVdHBje+eJE0MzcFMZ/fWTVJdWVapkVCUqSvXyb/rqTJvVGKPzPqaytPWMni3VuHbs2TKZdhPcHNSpVa3ihaQxpctYDmtdz1bS6H4HN9Yfhzg3G+X6QZ00866TU6qylq54n7DwLMlYF9CS9KehXXVYq+QB5WoF9i9/GkW9Xq+rwEUuT7bj1B4tdbHHaSaa1qlW7jPr13BTKrlXUxbuf3sQbHNiKXq2+DXoHKs/MjDDwSOfFzN1FAEnZJ3XJ7580SQ0CtmhSa0K9+Xh4JJv+fXkisz0bFPf1oVP3/YNEy7LueTY9mrqkyWYl4YKDfzltG46PVT1rWGtqjq0ZfzlP+Wqw4U+7H44/FTxsER1+O+dTyPMx4dyJr1wUfIy1NHHxNYZVOS6ZmBH3TLUnWT/JXl07DYqDRx6feF6/1nd9WKo6m4sV51wcNJl9gvvG6ZBh1RMu/CLOAHQ/3NpIOy4jo3TqlxWNYVgmR+8deUx+vC648rdls990Hx46XVrFOiSfu30ekSS8WT8+pmIF9yWpOtP6pzRtm875ZCMnh8kwTpqISdcOeBgr5uQsmwdB9s0iN+xrpKkykS0ozo00uuXH6XrB3Uquy18YTjYwSpxsWTSD3/tsqMca4cTwssIUpFo5NutWRvwHzszIGokmBJfx0czYP5+zuG6c3g3SdKlx7bX4xf0Snkb4XcjF6vwpfKSalcr0PO/PlIvX9q3bMnTkQelnvcuSFrWr6HCkcMdrVCaTKNaVdW2Yc2Uz512uVmEA7HVrFqQcY7OqgWV9Ndf9ih325MX9tINcS4er4voQznptcuP0hk97c3yc5pbucdi6dOuoZrW8cegSTKWVVrF2ZVtZznNRbZF9leMMbrr9EPV3cagmyTdMfxA4MVv71OQUsD4GQEnwGORF1/HdWpseymOHf06Ni5X8alTszpaeN8wndqjpe8O6mHHdWrsdRPK+cPgziocOVz/tDEyH5ZoRCSaX/8O+cKv14xPXXiExl7X3+tmlDn7yNYZJ1r263vthZMPba5GtauVDQI0cTEvTq5KFryfdudgVa9SWaf2SJwj7Y0r4o/CH9Ii/uw9Nz/OfFfSF37v+h1cPqHyeb3b6LnQ8uToarlNaleLO+MwVnDm35eU7w9ksxiBE6Gi359YPg9TtscAvBpyuPCotvpTkhmPz2WwhP3oDsmX+6by1a5XI7UZhZHVoq843l5OQSd8/scTNCmFJOR/PrVbud8v79/B94OxOThOllUZBZyMMQ2NMZ8aYxaF/o05RGeMGWqMWWCMWWyMGWHn+caYW0OPX2CMGRJx+/3GmOXGmB2ZtD2oLjzKXjUlBEf0KGnPNvX14e+P01MXHiFJeujs0pG4Xx7hTK6fdKZj+2mmRbaFTzIFKYyS33NG/OTnnLRgx/AeLWzlaQmiVL8CXHynb3iPijM005mdlk3JgvCp5hBKtnyySoJzYqwl6WGdbBYRyAXZOm9F/+UzqcwZ3eb2TWppSJwCMHZmXf7j/J5leSZP7Fp+pl7QjtV2iq24ms/IAx0a19IDZyXPH1s1g+XWfdunXzUuluj8YZHOirEEdFDoc9m5WW1bFZxvHtJFI4ZlvuS4XeNaKR2XLzomOPlaw0Wd3JgUmIuzvePJdIbTCEkTLMvqJGlC6PdyjDGVJT0laZikbpIuMMZ0S/T80P3nSzpU0lBJT4e2I0kfSOqbYbsD66RDsjcd3Q3ZnMbrlVRmt8TTvVW9sguFc3u3UeHI4Qk7vke0rZ/yPlK5iLNbnSuRG05yZ1p6thzfyX5ywJQ6n1xM56y/nHaoOmep4IBfRR7xw4EEu30sP/bF6lQr0OFt6me0jchOZr+OjdW+ca2Ul+38cOfgcsulU1n6W8eBc1Q2RX4Mnv2/I3WyQ8vyMj30FniYByznmdLP+Kc3Hp/yU92aNXxGz1ZpVdINqn9d3Ec3D+mSUiVSP2uVhdfxm1CeQ6cMSJCU+pIY+XDvGH6IvrttkD75wwBbyxivGdjRkzQnsY6dvdrW18FNaunmIe7k3EvXs/93pG4c3Dnl6sMoL9Oz5RmSXg79/LKkM2M8pq+kxZZlLbUsa5+kUaHnJXr+GZJGWZa117KsnyQtDm1HlmV9a1nW6gzbDY8cn6XlUo2dXp5g88rnpUv7aNwfUu8g5YMTupTmXbAT6Hr0vMNtbzfRn6agktHQOCOaqcqHYGk+ir44OTXGjJBU1K95YAp8n3YN9ckfBpS7v16NKr6fYRKvqlc80V/pyGUAkfeFv/vZqHKVjj/EyeHSOyK/0qy7h+h9m8uez+/TJulj6tWoool/PEHdYiReT5TXqUGtqmUjr1cc30GtG9q7mApCDsVE54ih3ZuXBex+dXRb9T6oQcbfp4RH9kTnKxcHCxiHKP2M16yaenD0QDVeE/P2WDIJbodnPf3WxowSJ7gxKyLWFts0rKlrBnbMmVkYT2ThvJto5lg6M3VTfU5B5UpqFqPISN0a/h9kqFWtQBNuOkE9MxzQcVrL+jV03aBOOfM98EqmAadm4eBP6N9YmfxaSVoe8fuK0G2Jnp/oObYZY64wxkw1xkxdv359qk8PtJsdLIUbRHYT1TnthC5NM5oCnkjizpL/D4SptPCsXs4sH+zTrqHuODX1KhDpXJQV2AxI+f8vVd5/LvdXEne31U0xZ0K0E2MktB1/4/H66Pr+Gn/jAE26+QSdfnhLR2ZCZuLMnvHz2jTPMElmvK9C+BhWt3oVvXN1v4z24YahccqNN62bfAAjVv6JkgzXAtatXqD+NgZpEh1Taocu2MMzZq8b1DFn8sY1rl1N/7uqn1rVdz+pa7WAVQZLVayll5H8nl8lHU5VexsQqsB4+/BuSR7pjFxIVh8elMhmxb36Nf0x0BHv73f36YemtJ32CVY9RDPG6KoT/D/YkG9y76gaX9JvujFmvDFmdoz/zkj23PAmYtyW7GiZznMqPsGynrcsq7dlWb2bNLG/HCYX+HU2RhACI2Ez7zrZ1e2Hl8h51XVwc7+t0wi6udGHSvfCasihqS/ZWPzAKSk9ftwNpTPhToxRntlPju3oryTubusSp9x2Jjo2raNDWtRVx6a1yzq9z190pE46pJlqpTGC74REne+Rv+gR9z6nZJInwy3xqpn1aZc8EWwqMj0L/m6A/WSwd5x6iG4e0kVPnN9LhSOHpzVjxO/cvP5OdA7JlcCdJP3l1OwES2KpXsWbY0H7Rgcu2N3smR7TwV5en/N6J58R6ZZ6WQ7GhK8Feng0OOyFZJc/sWb+xgtOFY4crrrVUxscu2lwZ42/8XjNv3eo5t4zJPkTHJLLwfpcCP5mS9JPgWVZJ1mW1T3Gf+9LWmuMaSFJoX/XxdjECkmRR9HWklaFfo73/ETPyWu51MHxu1QP5qm67sTUcnZks5x0pm46OTsz7P5xfs+s7MdJ4Y5Wl+Z1NP/eoUkrKMFd0f2FTIMLdmcC9Du4sV64uHfKld/sXrwkclT7xK/RrdlXx4SqRtWuVpDSEha3OnWv/KZ8OshKMRp13YkdY+bKiCX6/Ox0s8N/+4ahi8PI7f/fUbGTsNapXkXXDOyYcYXBeDq4UEI8+m0L0DiVY7J9HRPv8+H0xWKsGeCdmh4I8jvxXc/2e5fs83l0h0aac/cQLb5/WMLHPfiLw7TgvqE29uf8FyK6ol+2OPlSnrywl+o6UODGqY9Pzahk017HJgoqV1LHpnVUvUrlnBx48INcDq5lKtN3ZrSki0M/Xyzp/RiP+V5SJ2NMe2NMVZUmAx+d5PmjJZ1vjKlmjGkvqZOkKRm2FSGPnGs/P04QpVpG1A4/9HeDlLDOyWnSF/SNP+rXpE6wS4lXrxKMKjCf3TQg+YMSeOGi3hr5i+TVYfwg1Q5wjSz/Df+boIR7KhJd2Ll1gf/AWYfps5sGqIHNHE5+OO62alAj7Qu8WnECd/E2d3CMJRKR+z6vTxs99Mseuuy4qFwxpjTfytjr+ttqV+SfvkOTWvr4BnvPi2Q3j5VXs1fsOP3w0mB/usvgvb6AdFKs1zIq4liT7aBfJkv4wi+lqc3+Qb+DG6lX2/j50lLxm2Nj53GqVa0gaZL5SpWMrepxiO3UHi31ztX2jktOcDoXoTEVl+RHfi0/IT8sAizTnsBISYONMYskDQ79LmNMS2PMWEmyLKtY0rWSxkmaJ+lNy7LmJHp+6P43Jc2V9LGkayzL2h/a9kPGmBWSahpjVhhj7srwNeSkRKfq1g28K9/aIsPcILG0jxhhnXzzQE274yTH9+F36XTNsj0V1KQ4yjP62mP16mV9AxVoy1UdMvwbnNStmc7v29ah1vhLPs6+SCZe0s+qBZUy/iy5KZO/ZaznnnZ4arMXJ9x0QsL7K1UyOrdPm7ILVydmPLesV0Ndm1dMWJ5MbZszCYZ1zywJvx123oVfH32Qfnd8+aWIvzm2nebfO1RNYyTZDWvb0PkZXOnK9rHmaAdmU9rh9Mx960DW8HIObx17+dafT+uWURqKyL+Lk3+jWGXvc43zucGSf5ZS+bwdGqOYg13xXlmiQfF/X9In7n2dXVjuD2edkkK1WCm/+o8ZBZwsy9poWdYgy7I6hf7dFLp9lWVZp0Q8bqxlWZ0tyzrYsqz7kz0/dN/9ocd3sSzro4jbb7Esq7VlWZVC/96VyWsImqCPqLlxAv3o+v5l02gLKpu8KFV8zcDgJf+L17Ho2DT2BWiP1vXVv1OS3Gs+/j50bV6+cxC+CE/3/GJ3tNYPIjtUh/kwR8OgGIm9I3VuZj8oEj2FOhsdiNcu83ci92M7Ni6brRMvsB2+uZKRvrn1xGw1rRy3/1bZSqWYawmdo5ebd2uR+THk3jO769ZTyheQMMYknWV67Ykd497n5tLxHjGCI7d4UC785FCVV7/mBU0k8ntx75nd1c+jfIRHpDF7qnDkcD16Xs+Y9znxlzind2v1alu/7PcqHv19Y1XnzITT10ip5nSMFcwKz1KtZIzuP6u73o0zCyvWcXx4igGMbLikX7uyRPl25FNQZVAoJ+vALvmVN9qO3L8yh6+EDzxOJoytXqVyzKULFx0TO6eFH7x/zbEa0LmJWtWvkVZFtEa1Mg8++DhWU070cpboDkAq57KTDrGXByvee/PdbYP0xS0DbW3j3auP1dSI2XaPhTqPLdKsqJTqyImXbjsl+xdG6YruoBoj/fe3R9sO6jwSdVGQjb7VcZ0aq3HtzI4BTn7/a1aprG4t6qp1gwNLk+wuN+javK5a1HOnsmeqjEy51yDJlRxriQJEU+84SU9e2CvisYr5sxT7s2uH3waubhrcudzvbRvV1PERFzS3eng8SVR9NN5giRNiHe/tLkVNR7zPzsPnHK5vbx2kKgEfyGtQ072cnJHf51hvY9tG3q0qiKdx7WrlAh9XZrmCWXggon+nxrb7VLE0cvE70a5RTTWxUaE07E9DuybNjfSrow5Suzh576JnUxWOHK6jMpxl+OOfT9aPf3G2ANJdpx+ql6PyH6K8GlVZGhst2GcQxJWo49kshQOoW/od3MiR5LdhsTrQg2wGF+xwMkL/+AW9dHib+mpQq6q+GnGiDmnh7AhPpm4ekp2E3+ka/ftjk86aiVfF6YWLe2e072Z1q6tNQ3udxxpVK5cLCrRrXEtPXNBLT15wRFr7vtPDKkKpaplmTpRokYGrTAdg59+bPBlrWKPa1XRcp8Z60EbeqeiZZ9GzKPyknUsXPpUqGY29vr9O7ta87DYngxpuxUditTH6tnh5mDKR6BzcuHa1smSzdjm9FDDbuoRmg8YbEEgW7PBjxcNcUbWgkpq7kAohHie+6+GcXJ1SmKkaT9DzRNrlVRJpE8o/l64/n+Z8v8huuonoQ+dVSYJ2yZbyxQtEZaJezSqu5LVNRa7NwE0k1deaP+8MAafAsduJb5YgJ8FBjZw/qB3epr4KRw63/XhjjK52YVlYpp3nTGcN2HF6ink97HDyouGagfGXEPhBtYLKCato/fKI1uWm+2Y7qXMipx3eMu1R6iAtaYhcChmeYpyOdHLLhH18Q399fEN/TbltkCbdfEK5pTN3nX6orRHvBjZKRUd3MJxOJOqkP4Rmklzev0PCc0msam3pCn8Xf3FE6sup3ajG5JZYLY31FjepU02906yEmOztsD3DKa29lxee+WM3l5M96bUs1vIzBEfnphWXLWXy1e/XsbHevuoYXdE/9sCT47J9mArOYdFVJ3RpojN6Jj6vnHNk67S3n+n55+Fze6pr8zpJBxD6d/JmqSdiu+eMQ71uQk4i4JSDpt85OOtLFHofVLpG/ciDnKn0kS3/ufzAspmvRpyoCTdmVo0rWxy5DvPJsopMqhjFegl/Pq2bKofeoCqVK6lRFoKIiC86H0u6EiXTjKVr87rq2ryumtatXiHI3qZhTX0Yqug1tHvzcvd1aOzfpNaZOqJtAxWOHK7B3WLPJDnpkGa6Y/ghaY84xxrBbde4lgpHDnesCpSb0jmuxqu+GC9h+BEReVPsSKVNsS7c3dK2YU3dMfwQPf/rzGaNSplf2LkZmPTb8sNc06VZHd1/lvMVTI88qKEqRQzSHN66flrbSfWTFaAYeeDFOvZEf12rpFgx+bw+8asixzL62mP151O76bvbBpXd9spv+uqlS/toaPfm+viG49UptPQ23qDhq5cdldKAPdyVyle4W8u66tve3gBSvlcZJOCUgxKNsKdTrr5NQ/vBq7ev6pfy9p2QbpWTyKn6rerXUL04sx4ymRL65u+OCUxJeDd1bFpbBzWqqTtOLb/k6Nn/O1LXndgxpXwYyTp1fdo11FUnHKyHzzk8nabCQZGd/luGprZcM/JbfUKX9GdKxdKqfg3Nu2dohVxv6RwjvZDqhc2lx7YrF0iKdcxsUa+6LndgVkBQZiY50cxTYwSWzu3dWk9c0CvGo+2dS8LViE7vWX7b8Z4bvrVSFmdBGmN0ef8Ojiy3CsKnxYuP9OhrD+TYaeXQMmW/ue+s7lnJd5LJsq1ksj3Q6sYSpWxXLXZCrHN1Ki8jOn/q/HuH6s8ppi7o0bq+fnNc+3KrSo7v3KRcf+VfF/fRi5f2UZ3q3i5tg/OqFVTWm787xtZjY1UZDEpfyQnB6FnDtvByrXgnj4X3DUu6jb5R0/0jkzRPu+OkmBWF7H9lYj/Sqei+H9cK923fMPAl4RMlTrWrepVKmnTzQPU7uPz04dYNaurGk7vEPfCms+dKlYz+NLRrwnLXiQSw7xUIvzrqoISfpb/+8jAdZWO0yKmgUI2qlR2YXVH6b8NaVfX97SclfrCHvFpa6uV3adQVR+vWYaklnE5n6V88sV575+bJZyG1blBThSOH66xercsnDY/6qKZ7kei3i8sBXZroV0e1jTnT5aVLU5vZmEt6RMzKcfu6xKuek9sfxWzEYOtGBBKycQGZ7gBrIvl04RtP9SqVVamSSfjuntmzpQ4PVxy2+ZY1qFVVAx0eMIOLHP4uRFas9kMOZa8QcAqYyNlGb11ZMar669BofSano6M6xL/ga1S7mm8qCuGAdAJtqXRaCipX8uVU8Vid1VQT7iaTjbxe+aJejSpa/MAp5W6bd89QTbvjJN17Zned16et3rAxWtQjSdL4bAp/Pi7s2zYnE8yOuuJo2yN4kZw8XqR7UXp0h0b6XYpVQP9wUufkD4oQGbwJB0LjBfduHtJF1w9yZolppMyShrt7YLez9SqVK+n+sw5LmHsSSMd3t52kz25KP1VCql8PH3aTck5BJaMf7hzs+n5i/S0Hdm2qFy7KfBkx/Mvp7/CHvz9OC+4rLVrTtE75c1w+BaC8KUuAtEVOyeyTZuLR1GX3FNqqfg2t3LI7pef4bMA2piPa1tf0n7c4si0vOjXVCyprd9F+D/ZcUWQnMHzBdNIhTfXCxc6Phntd4SPX1ahaWTWqVtavjz4o+YOzzM7FRpM61TTtjpNsJRj30kFRFeqSHTNb1Kuu1Vv36OgUqokG4TiciDGlsyOrV6mkPUUlKT7X6LQeLbVs4664yxKPaNsgo+T/0c8sCC0Jr1yJscNc58cBn3Qkm103pFtzvdpqma51qHhJkzrVcm4gwI8z+Z3WsWltLV63I+Z90YNWkaKD/eGP23UuBPqRe85PMYeXHQWVK8UMtlw3qJOGHNo8xj25iYATKjjnyDZ64rPFnu0/k+n+5QIRaW7jlqFdNH3Z5rjbTdd/Lj9a2/YUZb4hh6RaBterDq8T+/3H+T3LTXtHsPnt4isIienP7Z1aR+rTGwdo9770Asw++/PE5fSFW0HlSrohYobUIS3qpDWAEinRDKSLj2mn9dv36soBBwJcz/7fkZIsXfna9LjPC3hcMCZjgh/wRGkZ9w9+f5zXzbDlN8e213GdogLyQTn4+dwV/Tvolrdnpvy8to1i5+pKNpPk2f87Iubt4ZQi1QoqaW9x6SBEuNDNUSkMxripW4u6mrt6m9fNiMtv/bV4wqldvly0wbV9RK4suXFwarOpg45hsRzjxPe6baPS6jMp7TeNHfu1c3j1CR1dmSlTo2plXy0ZsJMrxy47OXXSXbrxi17xy9raXRZ4Rs9WGtiVNfRO+93x7pSd/uymAXrp0j4pB5/vPt29crZn9oxddSwoor9/BzdJnKS/drWCnJsZYJdT56aaVQv01YgTHTvWRh9Ca1StrDtP7VZu8GBo9+Ya2r2FPrtpgF7+Td/k23SkZd775Ibj1bpB7i73d3tWS12PZvL6LZ9YKv58Wjed2DV2xU9kploG1YvTMbR7i5i3n9WrlcZcd5xOjpiJUqd6FY2/8XjXitK8cFFvvXbZUckfGBDJ+hp+c1ynxhpzXXpB7/CKiOZ1a2j4YS00vEfsz1U+IuAUcHWrl5+l4kaVGiej025FuoPbZXFIGu+rU7k7zuzZUm+lkePFrlgdj2xNKa+eYqdn1BVH6/XfutdReOfqfnrqwiPKJSH00mX927uy3Q5NaqdVle7ifu10zcCD9eSFsSuEpWtwt2Z67Hxnt5mpTL8Bl/Rr50Qzckr0MdHOsh63zz3p5nzq0KS2BnRu4nBr/KtTszq6wOXiHLWyUE0t7r6rubsgIbJibzblfd/NpsNbH8hbGJQZI4n071R6bGrbsFaF+07u1kyn9UhtgKd+nArTsfRoVV9SaZoLSWoaNbDSrlEtnXZ4Sz1+QS8ZY3Roy3oVzrcdm9ZRdZcKcZzUrZmO69Q4+QMDIoh9jUNbppYnNFyc5NiOjfTkhb30p2Fd9NSvjtBTF8aeOfe7Ae4M1voZAaeA+/a2QWWdyq7N66hXqHpCtgeNTnZwHWomTc+B87Atfqoo8tj5vcqqduSaVANbR3doVKEKnx2/Oqqt/nJa/HK8DUKdqSPaNtDwHi308Q3Hq0Pjih21rPPh1cLNQ7rq1BQ7q6l49bLks0a89PsT7eU+cWNwIswYleV+ciIpZrY+ZlWjLrqvjXgvCyoZDese/zyX6N3MpP2Ht6mvwd3Csyic+Zt1bBqsEWe7XK/k5sF5t3Yo0PTEBf4KeOeq3gc1yOj5+ZBfyQmXHttOU24fFPNY9NvjO6R0fnrvmmP1yR+Ot/344zo11pTbB+nkQ5tr5l0na9LNA8vdX7mS0RMX9FJ3nxQniT4vxfOhT5ei5kOKwd8NOFiFI4fLGKNTe7RUtYLYwcjwtfmphwV7xnw6yOEUQPVqVCnrhNSsWqCbh3TRnFVb9fpvj/akQxRe95rL6EL4V/hvE+CZ+WXlwO/+YG6F+x76ZQ+dGyuRYR5/KLPVqY/12erfqYm6t6qr2Sv9mTPBL8HoG07qrLOPbK2DGiUOjCZqbrZeyqEt6+oPJ3VOuIQwOlHtXad109jZa1LaT6avx6n3I3KJw2mH52bH96Gzezi+TS+/WflUzchLr152lLbuLtLRD06QJJ19ZPwl/UifMaZCxa5oZ/VqpXd/WFnutlgBwZ5RA57f3Hqijnnws4TbDu871dyeXvQzv7/jJBXvL80f9bvjO2jttj3ZbwQc5ZNuWlblQdwx98z482B9+acDEfnurepp6h2D1bCWv6skOWl6VEnU2085RNUKKqm+zytFBcVDZ/fQ41EjqqmeaFvWcyZfVaLRHcuSBnRpogv6ti0L2uScOCemf1Kat5w2DZ3P3zKwa9PQZ6u749t2UoGLs5XSVbmSSRps8lq401evRhWd1C21XCyXHNteb7q4lDiSGxc54ZkFkUt1/OSQ0LLhRrXSC7SkmiQf2XFGr1blfvfbQFGNqpXVvF71slnFvzk2tWXj2biQ9N/R3lnh1xd9TXN+nzZ668rkx9wW9SL7As58wLwMENSrUaWsMMmtpxziu+X9gB0EnALIGJPVUWw/ntyiT0Rn9mqlBfcNs5W8Ohc5/Tc6t3cbnZ7hyPfnNw/U/HuHZtyWWFOrIz/+VSpX0oO/OEzNHQpwBUW2EzFO/OMJZZ3wbLHbVZx/71BNuPEEx/cf/mz5Kdl/WIv6pZ3q//726PK3Z/A9qJbh8TPICYDTVTl0MMrG8ceP5+JkqqWZ5+SPQ7rorSuP0WEpBMRcn/kYxD+Az9x8chevm1DmyhNK86i0qh9/sCLVvrZbH5H8O7JWlM61T/iUxFJH7wT1vR97Xf9Q1Vfn5GEXqQxL6pBVdg47fvxCntunjR7+dKHXzSgThOmYfg3+9T6ogaYu25zwMVUql77BA7vmT9LdZNo3rqVmdatr864iz9pw8TEHqUX9Gvps3rpyt7uVvDMePxyj/nVxb321eIOOObiRnvv1kbrs5amSSkeBG9eupt++MjXlbf7BoTK9ATg8OaZWtQI9cUEvR6t+VuSDD1yabjula1rPq1K5kvq0O/CefvKH4z1LbA3nuJk7LlVn9WqtsxJUwfWrIPT//Map98xuZeRs6ndwI81dvU2NagdzhceFR7lb7CFd3VrWVbeWdb1uRs4g4ATPRB+2X7ykj+rVrKKrX5vuSXsS8eMMh3zWo3U9fbFoQ1pl2xvYWHpapXIlffmngf4oC++//o1n7j6jdGlbdMApHzWuXU1n9CxdnjLokGZ68sJeKqhUScaYiCTTqXG7Ela63Jo5VTl08Vsjw4BltvIgOTmz2cn39MPfH6dTn/gy5n11UsyREk/nZskrc7pxIR55gcl1vvP8eAGfCbeCQZGb9cOAR77x83d/xLCuuuiYdlFLCYPjgVxNh4Fy/Nm7RMaCdBLv3qo0gjywa+pl0FEq30a8bhzcRcO6t9AhLdwbfWjdoKZr2853Azo30aSF69PfQJ593u1wszKfXU6fddyeit+3XUP94aTO+tXR/hxhDXPzAtOJc4dfqjm5KajLQnwvOF1VZFmnHK2m6bSCypXUtpF/+6v5dn2C2JifnKscPIm7fbBo4FKi776uLnHwVkGA6owOP6yF49usXMnk5EXOkxf20sc39Pe6GWXO7e3OcoOXf9PXle0idX3bOX+c9EulvGQqVTK6/qROalzbBzMZE6hetXQGVkHlYLyvuSoon2t474aTOrm27Vz/GIZfX/TsSD+8bmaXIRP5/PEJzlUr8oZTs7Oyndclm85xKRCQSLon+0fP66lpd5zkbGNy1Kk9Wqprc/+sGS/wOmdKPp+ds2DJA6do1BVHJ38gPHXfGd113aBOGtDJuZxyTn+10s3V5CS3r0f9mpcQ/hGeCVfZD9GRgPPTSg2CzXBSPn6cOHsiJrei+By0M9OhSWmZ8ejkqY2yMEKf7meiakGlrLQPyJbwd+HD3x/nbUMyVLmScTSJb66M/nYNLdX1y+mqQa2qunFwZ5cSLvvkRTrolMOap/W8+kmqcP73t0eltd1MhBP5Z5pnzK9y5JAR09tXHaMJNw3wuhkA4DlyOCEpchf4x7tXH6uNO/ZKkibdfILq1aiij2ev0Sk9nF+2Bu/cffqh+vu4Bdq+t9jrpqTkF71apVTGfGAXqgDmIr8EatL18qV9NG/1dlUryM2L/FyXqMx9PJNvHqg61QvU695P4z6mY9Pkicuddtlx7XXZce2zvl+k54oBHbRq625dcmw7xxLmS+Wr++VrnzydV+30IEiuDKrAG24VQAkCAk7wnTz+PiZVr0YV1atR2ok5qFHpbKfz+zqX8LahjQpucN/F/dpp9sqtemvaCl9NK0/23XzkvJ62t/XlnwamnTsnP7vbucXOcd6rwFX9mlV1zMGNvNk50pbJ58XPSXcRHHWrV9Ej5/Z0fLtVApS30y9O7tasrP+U6amEPgeclI9BY45gOco/l6jxBS3S+4sjWnndBNed27uN103wBT/M0PBFG1zcdusGNXM6zxrs8cPnPC85fPr1Qwe6U7PSGUhuVi+FswLWDURWmND/yx9TUjlXLL5/mJ79vyPTei6cFZ1KJeipCJAeAk7wXFDyOt0xvJvXTXBdQP4UGcmDl5gz/DS7C8kN7Fq6RLJXmwYetwR25dIxf2CXphp/4/E6q1fuDw7lCo7xNkV8T3PpOxv21pXHOLq9gsqVXMl5x6c1M+f3aZOTFaaRHAGnPHX7KYfYfqyTJzevzpNOnHdYbgaUl6+dr3x93cmc2LWZFt43LKU8XsgNfrkI7ti0jquDWA+fc7hr24Z/3BrqI9euRuaRbOjTrqHXTUjMJ8c3IKgIOOWpy/snTkLp5ahTeM//uri3Y9tc+uBwdWOafQWNaxNEg//5Nbm4Xy6y/cTJ0vG92taXJHVtzrHbaQRN0/PLI1t73QRkwbm926hw5HBHj2cAIOVn35HQPWw5oUsTfb5gfVb3eRjTLl3X7+DGGv3jKluPZeo7/PIZyMeTdT46tUdL9WrbIK2qY7CHrxKy7axerfTuDyslkcMpHYMOaeZ1EzxR2Qcn/qDlnvWDeH+1R849XDv37c9qW+AdAk5IasihzXUmOREA+MxBjWpq2cZdth//i16tVNmFvA5wD8Em+M1vjm2vnzfZP+4ExbQ7TtKR9413fT91qnPpkYmjOvh8+ZlLbhzcxesmIEO/Puagsp9/cUT+zRbN53glR/0c5eSHOtvBpvo1qmj99r2O52F44sJeem7SEn00e4227yl2dNtBlcpbfNWAjnp0/EL3GoNybh7SVXuKSnT64d4Fe70eUEx2HHvgrMPUt739zvcj5/XMrEEhjHIC+aFGlcq6pF+7conI/3xabhYQaVS7mtdNgA25PmQSq99x8TEHqV7NKilvy6lTtR+qcAbd8MNa6NCWrFyRvO9be4HFyTkq2dIXryrDRe42Xgtf/k1f3XPGoWpSx9nOz8FNauuhsw9nhkOaGtRK/WSP9DWpU02PX9BLNapW9ropnot3vDJGqlLZu9MYnVAEFUFTe4wxuuv0Q3V4m/peNyUnVcrHK680HNSwptdN8NSdp2YW5OVc7R2+4pAIOCFN/0tQwvQ3xyZOSB4t+ljUsn4NXXRMu9QbBSAv/GloV3VoXEuHt67vdVOAQPNq8AmoU71A/Q5u5HUzAuGeM7qramhwxctBlqBxKqx+1Qkd1LZhzbzNnwVkiqMW0tK7XUPVqBJ75kWuTjdHbhhyaHOvmxBYfpkU0attA332xxNUy8GS1c/+35H6OyXPASAr/nhyF1VixrktNapW1sy7TtbnfzxB1eP0vdNRtaCSmjq8msCXMvyYdWxaR5NvGaiGtajsnKpwldmTujX1uCXe+9OwLqpbvUAHNazldVOyjhxOiMnOheWU2wdpf4lPrkDjOLVHC304c3W52yJfG8sK7MuVt+qXR7bWTW/9mNV9kvjY/4Z2JxAJl+TIsROAd6pXqax2jZ29UJ1z9xDfLTY7uEltr5sAB3VsWlvz7x3qaKA0qE7s2kwz7xridTM8wQynHJWN4ECd6lVUv6a/o/1PXniECkcO97oZyGNz7h6iCTcN8LoZaSHvQX548BeHqWW96lndZ4cmtVS7WoFuOjl/Kg/56dt06ymHqG71ArXI8t8dgH9UqVxJBT5bolevRmm+0AFdmnjcEjiFYBOY4YSs4gLWX/hrxFatwLmTo5PLvvKN32fV5Ur6mwv6ttUFfdtmdZ+1qhVo9t35OdLnB0MObc7yYgC+VbtagSoZyecLKQDY4K+wNgB47PELeqm9w9PWkZkciesAQN4LL5lq3YCl5rAn3eIGfh+0AvIFQ+/wTMPQcrwOTbi4h3+cfnhLr5vgW/TdAACZuOiYg9S9VV0deVBDr5uCPMGgFeAtAk7wzOFt6uu1y45S3/bZ7XSQKBxwBl8lAEAqjDEEmwAgj7CkDjFlq0rEcZ0aq2oBH0OvdG9Vz+smAIFDoA0oL90lLwAAILdxpZ+jqmUYxDmpWzOHWlIefVJ/uey49uV+P6ZDo7iPZWZY/vH6++r3T5zX7w8AAIjN8n0vAsgPBJxyVN/2DRMGDwCp4qj08Z0pQwv/IbCTmVuHdfW6CQACZMF9Q71uAuAYZmAC3iLglKOMMbq4XzuvmwEghzDLLXjO79NGvxtwsNfNABAg1Qoqe90EQP+6pI8GdmmiSsSLgEAjaXgOI6AfG5fMADLBNH0AANw1sEtTDezS1OtmAMgQM5wAAEiDCUCxZQYe4JXXLz/K6yYAyGeMDQG+wAwnIAONalX1ugme+tNQcsPAPSzhA4KrX8fGXjcBKfr4hv4q3LDL62YAjmLcBfAWAScgA0fneWL2q07Irdww/TtxgRTJP500/7QEQEV8Q3ND1+Z11bV5Xa+bAQDIISypQ/5h0kRa8uFtq1bAITGRawZ29LoJAHyoTnXGLwEAQEVcXQEAbPnFEa29boIvsNIPAAAASI6AE7KqbaOaXjcBgIMePufwmLdXzYPZYsFIyB2IRgIA4CjGhgB/yP0rAvhK3epVvG6Cs7iWQw6rXCn5KeKXR8ae9TT55oF6/5pjM9o/nUUAAJCJYAwOAbmLgFMO4/gK2NOxaW2vm+A7lx7bTjcM7pT285vXq67D29R3pC10FgEAQCqodAv4AwEn5B1OP4h2SAuq8kT7y2mHJp2RaPFtAgAAPsagFeAtAk4AJEkDOjdJeH8+DBTlw2tE5q4ccLAkqUW96h63BPCHNg3JzwgAACrKKOBkjGlojPnUGLMo9G+DOI8baoxZYIxZbIwZYef5xphbQ49fYIwZErqtpjFmjDFmvjFmjjFmZCbtR3bdfsohXjcBCVSpnL/xZwa/7KuWB8nAk/nlka1VOHK46gQgJx0ju8iGozs08roJAADAhzK9chghaYJlWZ0kTQj9Xo4xprKkpyQNk9RN0gXGmG6Jnh+6/3xJh0oaKunp0HYk6e+WZXWV1EvSscaYYRm+BsRx0TEH6Re9Wjm2vaZ1qzm2Lb/gWg75ZuZdJ6tBzewEWphxhlzA0lMAAJCvCjJ8/hmSTgj9/LKkzyX9KeoxfSUttixrqSQZY0aFnjc3wfPPkDTKsqy9kn4yxiyW1NeyrG8kTZQky7L2GWOmS4pdIgkZu+eM7l43AYDPVCuorGoFlSUVZW2fBHaRC0weTTe7ZuDBXjcBAAD4QKYznJpZlrVakkL/No3xmFaSlkf8viJ0W6LnJ3qOJMkYU1/SaSqdGRWTMeYKY8xUY8zU9evX231NOcNvnVu/zFb4w+DOXjcB8FTf9g29bgKAHPbro9t53QQAAOADSQNOxpjxxpjZMf47w+Y+YkU9koUeEj7HGFMg6b+SHg/PnIrFsqznLcvqbVlW7yZNEidEzkX+Cjf5x2XHtVffdlxw57umdXJviaddVw1g9gEA9/hsvAtAHqpUqfRAVIkDEuCppEvqLMs6Kd59xpi1xpgWlmWtNsa0kLQuxsNWSGoT8XtrSatCP8d7fqLnSNLzkhZZlvVYsvYDTrp1WFc9+NF8r5vhimHdm3vdhKwpHDlc70xfoRvf/NHrpgCuopsNAMhHdwzvprrVq2hY9xZeNwXIa5kuqRst6eLQzxdLej/GY76X1MkY094YU1WlycBHJ3n+aEnnG2OqGWPaS+okaYokGWPuk1RP0g0Zth1I2e9yeGbIL49MnA7NJysiHdOsbm6UtD/pkFgrmRMjiTEAJFaVipxAoDWsVVV3nX4o32XAY5l+A0dKGmyMWSRpcOh3GWNaGmPGSpJlWcWSrpU0TtI8SW9aljUn0fND97+p0sTiH0u6xrKs/caY1pJuV2m1u+nGmBnGmMszfA1A2vyWJwv2HduxsRrXrup1MzJSOHK4Xri4j9fNcM3xnRvr2I6NNGJYV6+bAiDPfHbTAK+bAABA4GVUpc6yrI2SBsW4fZWkUyJ+HytprN3nh+67X9L9UbetECsE4ICW9Utnt9SsmmmhRgTZ0R0a6cOZq8k34lM1qxboP5cf7XUzAOSh1g1qet0EAAACj6tt5KX7zzpMA7s21WGt63ndFPgIC80AAAAAwBksakVeqlWtQGf0bOV1M+ATTHBCrvrD4M5eNwEAAAB5ihlOAALj8Qt6ed0ExPDWlcdo2+4ir5uBGBrXruZ1E5CHCOIDAACJgFNOIy8Ncs1pPSht6ydWaA1in3YNvW0IAAAAAN9hSR2QgXyK6VkWGY78qnDkcBWOHB73/mM6NHJ0fwSz/e+GkzqpT7sGXjcDAAAAeYyAEwDkuCoF5Q/1kbHDv53dI8utQTbccFJnvXVlP6+bAQAAgDxGwAlZY1EDDBkyTK1xXCXeUwCQJF13YkdJ0nm923jcEgAAcgMBJwAAAOS9lvVreN0EAAByCgGnPNaqfg31aF3P62YAAIBcwsRJAAAgAk557asRJ+qCvm29bkagsRopt5AYHQAAAACcQcApz3VqWtvrJgCeIzcUAAAAADiLgFMOs3MN3btdQ/cbgpx0YtemXjchY8xnAgBEo8gJAADOIOAENahZxesmIID+fUkfr5vgGOY3AQCY7AoAgLMIOEETbjpB428c4HUzAGQJqaqA7OkYWrpet0aBxy0BAADILno/UMNaVdWwVlWvmwEAQM75y2mH6tQeLdW1eV2vm5I1hnmjAABAzHACMkKXGgCQSPUqlXVsx8ZeNwMAACDrCDgBSNnhbep73QS4oFbVyl43AQAAAECOIOAEwBby/uSmyCS5c+4ZmtJz+UgAAAAAiIeAUw7zWw4FAhZAdrx0aR+9/Ju+rm3fX0cWAAAAAH5E0nAgz/3vymPUtE51r5vhC0GPiT5w1mF6e/oKndClqddNAQAAAJDnCDgBea53u4ZeN8F7OTJl58Kj2urCo9omfVzQA2sA/M0E/JjKjGwAAJzBkjogAybovWoAACDJf6kIAAAIOmY4ocw/zu+pNg1ret0MAC667Lj2XjcBAAAAQB4g4IQyZ/Rs5XUTAAAAAABADmBJHQBbLDL/AAAAAABsIuAEZKB6Fb5CQXZQaAlpo1pVPW4JAAAAAOQWltTlMnJfuuq6QZ10eX/y4QTZHwZ3Vu92DWRk9M8vfvK6Oa7hUAAAAAAg25ieAaTpxsGdVbd6Fa+bgQxUqVxJJ3Zt5nUzsorgEwC3cZwBAAASASf43IuX9PG6CUDOsSzycQEAAABwFwEn+Fq9mswggvsKKpeOx1cvqOxxSwAAXiMkDwCAM8jhhKzp2aa+100AYjr24Ma6flAnXdyvnddNcZ1hrQsAxHR6z5aaUrhJI4Z19bopAADkBGY4ISsKRw5Xhya1vW4GMjC8R0uvm+CaSpWM/jC4sxpSrc6W8/q0lSTVq8EMRAC5o3qVyvr7OYerce1qXjcFAICcQMAJgC2t6tfQu1f387oZcFizutVTfs51gzpq0f3DVLsak2QBVFSlgO4lAAAg4AQAOevpXx2R8P7a1Qp0bMfGKW/XGKMqlTl9AIiNCq4AAEAih1NOI1ULkN9qVK2YBN1EJHE6ukMjSdLdpx9a9jMAAAAAOIGAEwDkuXxIlg4AAAAgu1gTAQB5hpLfAAAAANxGwAkA8pRh3S0AAAAAlxBwAoA8QowJAAAAQDYQcAIAAAAAAICjCDjlsKoF/HkBpK5941peNwEAAABAwFGlLocd06GRRgzrqvXb9+pfX/7kdXPSwvIfwFnn9G6jJet3xL1/9LXHqk2DmllsEQAAAIBcxBSYHGaM0ZUDDlb9GlW8bgoAj9WvWXocaFSrasLH9WhdXw2SPAYAAAAAkiHgBAAAAAAAAEcRcAKAPGNZXrcAAAAAQK4j4JRHrh3Y0esmAPBIrCATOdIAAAAAuIWAE5CGnm3qe90EIC2GKBMAAACALKBKHZCiyTcPVKPaJFUGAAAAACAeAk5Aito2omQ8AAAAAACJEHBCoHz5p4HatW+/180AAAAAAAAJEHBCoLRuwOwiAAAAAAD8jqThAAAAAAAAcBQBpzzQs219SVKv0L8A8p3ldQMAAAAA5LiMAk7GmIbGmE+NMYtC/zaI87ihxpgFxpjFxpgRdp5vjLk19PgFxpghEbd/bIz50RgzxxjzrDGmciavIR/079REU+84SYMOaeZ1UwBkUd3qVSRJrRrUiHm/MdlsDQAAAIB8kukMpxGSJliW1UnShNDv5YQCQk9JGiapm6QLjDHdEj0/dP/5kg6VNFTS0xGBpXMtyzpcUndJTSSdk+FryAuNa1fzugkAsuzIgxromV8d8f/t3WusZuVVB/D/6gwM5daCDDBclEEBJVpLixAlIJFeALFTTWvAxlCt1kaI1n7pLVHShARr6yeNTWtJMKFQ1JJOTBVoajQxwXKRWG6VKYV2CnJrIm1q24DLD+ed9jCec4Y6+509592/X3Jy3vc5e5+sk5W199nrfZ6984eXnJ5us5oAAIB9Z28bTtuSXDd7fV2SN66wzVlJdnT3w9393SQ3zvZba/9tSW7s7u9095eT7Jj9nnT3s7NtNiY5MNaGLLRXnPDysUOAde2in9qSgw74/kTQimlNAADA/O1tw+mY7n48SWbfj15hm+OTfHXZ+52zsbX2X2ufVNUtSZ5M8o0kf7NacFX19qq6s6rufOqpp36Qv4v9xIaXuDgGgP3d6VsOHzsEAGA/s8eGU1V9tqruXeFr25723fUrVhjb06ykNffp7tcn2ZJkU5JfWO2XdPdHu/vM7j5z8+bNLyZWAAB+QJ/63Z8bOwQAYD+zcU8bdPdrVvtZVT1RVVu6+/Gq2pKlWUe725nkxGXvT0jy2Oz1avuvtc+uuL5dVduztPzutj39HQAAzMfypbsAAMneL6nbnuTy2evLk3x6hW3uSHJKVW2tqgOzdDPw7XvYf3uSS6tqU1VtTXJKks9X1aGzxlSqamOSi5M8uJd/AwAAAAAD2uMMpz24JslNVfW2JF/J7IlxVXVckr/s7ou7+7mqujLJLUk2JLm2u+9ba//uvq+qbkpyf5LnklzR3c9X1SFJtlfVptnv+lySj+zl3wAwKR5YBwAAzNteNZy6+5kkF6ww/liWZh/tev+ZJJ95sfvPfnZ1kqt3G3siyc/sTcwALPHEOgAAYF72dkkd7NHJmw8ZOwSYPJOaAACAfUnDCWBKTGoCAAD2AQ0nAAAAAAal4QQAAADAoDScAAAAABiUhhPAxLiBOAAAMG8aTszdey788bFDAFZQbiAOAADMiYYTc/Gu1576vddnn/xDI0YCAAAA7GsaTszF711wyvdev+ylB4wYCZDEOjoAAGCf0nACXrSDD9yYJDnuZQeNHAn/X5bRAQAA+8LGsQOAPTn28IPyn89+e+wwSHLasYflz37tjPz8qZvHDgUAAID9mBlO7Pduf98FOWBD5WfdC2q/cMkrjsthB1kmCQAAwOrMcGJdeOjqi8cOAQBYw1W/dHpOO/bwscMAAPYTGk4AE3PUoZuSJCdvPmTkSIBF8tZzto4dAgCwH9FwApiYs7Yemet/6+ycvfXIsUMBAAAWlIYTwASd82NHjR0CAACwwNw0HGACzjzpiCTJAS9x2AcAAObPDCeACfjzt7wqjz7zrbz0wA1jhwIAAEyAj7oBJuDgAzfmJ7Z4ehQAALBvaDgBAAAAMCgNJwAAAAAG5R5OzM1vn7s155929NhhAAAAAPuYhhNz8/5fPH3sEAAAAIARWFIHAAAAwKA0nAAAAAAYlIYTAAAAAIPScAIAAABgUBpOAAAAAAxKwwlYF44+bNPYIQAAAPAibRw7AIA9ufUPzstRh2o4AQAArBcaTsB+79RjDhs7BAAA5uBDb/7p/MuOp8cOA5gDDScAAABG8aZXn5A3vfqEscMA5sA9nAAAAAAYlIYTAAAAAIPScAIAAABgUBpOAAAAAAxKwwkAAACAQWk4AQAAADAoDScAAAAABqXhBAAAAMCgNJwAAAAAGJSGEwAAAACD0nACAAAAYFAaTgAAAAAMSsMJAAAAgEFpOAEAAAAwKA0nAAAAAAal4QQAAADAoDScAAAAABiUhhMAAAAAg9JwAgAAAGBQGk4AAAAADErDCQAAAIBBaTgBAAAAMCgNJwAAAAAGVd09dgz7RFU9leTRseMYwFFJnh47CEYh99Mk79Ml99Mk79Ml99Mk79Ml99O1iLn/ke7evPvgZBpOi6Kq7uzuM8eOg31P7qdJ3qdL7qdJ3qdL7qdJ3qdL7qdrSrm3pA4AAACAQWk4AQAAADAoDaf156NjB8Bo5H6a5H265H6a5H265H6a5H265H66JpN793ACAAAAYFBmOAEAAAAwKA0nAAAAAAal4bSOVNWFVfXFqtpRVe8ZOx7mo6pOrKp/rKoHquq+qvr92fhVVfW1qrpn9nXx2LEyvKp6pKq+MMvxnbOxI6vqtqp6aPb9iLHjZDhVddqyur6nqp6tqneq+cVUVddW1ZNVde+ysVVrvKreOzvvf7GqXj9O1Axhldz/SVU9WFX/XlU3V9XLZ+MnVdV/L6v/j4wWOHtllbyvenxX84tjldx/clneH6mqe2bjan5BrHEtN8lzvXs4rRNVtSHJfyR5bZKdSe5Icll33z9qYAyuqrYk2dLdd1fVYUnuSvLGJL+a5Jvd/aEx42O+quqRJGd299PLxj6Y5Ovdfc2s2XxEd797rBiZn9mx/mtJzk7yG1HzC6eqzkvyzSR/1d0/ORtbscar6vQkNyQ5K8lxST6b5NTufn6k8NkLq+T+dUk+193PVdUfJ8ks9ycl+btd27F+rZL3q7LC8V3NL5aVcr/bzz+c5L+6+wNqfnGscS331kzwXG+G0/pxVpId3f1wd383yY1Jto0cE3PQ3Y93992z199I8kCS48eNipFtS3Ld7PV1WTppsZguSPKl7n507ECYj+7+5yRf3214tRrfluTG7v5Od385yY4s/T/AOrRS7rv71u5+bvb29iQn7PPAmKtVan41an6BrJX7qqosfZh8wz4Nirlb41pukud6Daf14/gkX132fmc0IRbe7NOOM5L862zoytm0+2stq1pYneTWqrqrqt4+Gzumux9Plk5iSY4eLTrm7dK88J9PNT8Nq9W4c/+0/GaSv1/2fmtV/VtV/VNVnTtWUMzNSsd3NT8d5yZ5orsfWjam5hfMbtdykzzXazitH7XCmPWQC6yqDk3yt0ne2d3PJvmLJD+a5JVJHk/y4fGiY47O6e5XJbkoyRWz6dhMQFUdmOQNSf56NqTmce6fiKp6f5Lnklw/G3o8yQ939xlJ3pXkE1V1+FjxMbjVju9qfjouyws/YFLzC2aFa7lVN11hbGHqXsNp/diZ5MRl709I8thIsTBnVXVAlg5Q13f3p5Kku5/o7ue7+3+SfCwLNNWS7+vux2bfn0xyc5by/MRsPfiudeFPjhchc3RRkru7+4lEzU/MajXu3D8BVXV5kkuSvKVnN1edLa14Zvb6riRfSnLqeFEypDWO72p+AqpqY5JfSfLJXWNqfrGsdC2XiZ7rNZzWjzuSnFJVW2efgl+aZPvIMTEHszXdH0/yQHf/6bLxLcs2++Uk9+6+L+tbVR0yu7lgquqQJK/LUp63J7l8ttnlST49ToTM2Qs+7VTzk7JajW9PcmlVbaqqrUlOSfL5EeJjTqrqwiTvTvKG7v7WsvHNs4cIpKpOzlLuHx4nSoa2xvFdzU/Da5I82N07dw2o+cWx2rVcJnqu3zh2ALw4s6eXXJnkliQbklzb3feNHBbzcU6SX0/yhV2PSk3yviSXVdUrszTF8pEkvzNGcMzVMUluXjpPZWOST3T3P1TVHUluqqq3JflKkjePGCNzUFUHZ+kppMvr+oNqfvFU1Q1Jzk9yVFXtTPJHSa7JCjXe3fdV1U1J7s/ScqsrFuWpNVO0Su7fm2RTkttmx/7bu/sdSc5L8oGqei7J80ne0d0v9sbT7EdWyfv5Kx3f1fxiWSn33f3x/N/7NSZqfpGsdi03yXN9zWbuAgAAAMAgLKkDAAAAYFAaTgAAAAAMSsMJAAAAgEFpOAEAAAAwKA0nAAAAAAal4QQAAADAoDScAAAAABjU/wIfwnLpu/Ch3QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for label in emg_labels:\n",
    "    plt.figure(figsize=(20,10))\n",
    "    plt.title('Raw '+label)\n",
    "    plt.plot(df['t[s]'],df[label])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "EMG1 = df['emg1']\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.plot(df['t[s]'],EMG1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-32-c493ad2d030b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mham\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhampel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mEMG1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m50\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mimputation\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\hampel.py\u001b[0m in \u001b[0;36mhampel\u001b[1;34m(ts, window_size, n, imputation)\u001b[0m\n\u001b[0;32m     48\u001b[0m     \u001b[0mrolling_ts\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mts_cleaned\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrolling\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwindow_size\u001b[0m\u001b[1;33m*\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcenter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     49\u001b[0m     \u001b[0mrolling_median\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrolling_ts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'bfill'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'ffill'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 50\u001b[1;33m     \u001b[0mrolling_sigma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m*\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrolling_ts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmedian_absolute_deviation\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'bfill'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'ffill'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     51\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     52\u001b[0m     outlier_indices = list(\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mapply\u001b[1;34m(self, func, raw, engine, engine_kwargs, args, kwargs)\u001b[0m\n\u001b[0;32m   2057\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mraw\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine_kwargs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2058\u001b[0m     ):\n\u001b[1;32m-> 2059\u001b[1;33m         return super().apply(\n\u001b[0m\u001b[0;32m   2060\u001b[0m             \u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2061\u001b[0m             \u001b[0mraw\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mraw\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mapply\u001b[1;34m(self, func, raw, engine, engine_kwargs, args, kwargs)\u001b[0m\n\u001b[0;32m   1386\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1387\u001b[0m         \u001b[1;31m# name=func & raw=raw for WindowGroupByMixin._apply\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1388\u001b[1;33m         return self._apply(\n\u001b[0m\u001b[0;32m   1389\u001b[0m             \u001b[0mapply_func\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1390\u001b[0m             \u001b[0mcenter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcenter\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36m_apply\u001b[1;34m(self, func, center, require_min_periods, floor, is_weighted, name, use_numba_cache, **kwargs)\u001b[0m\n\u001b[0;32m    586\u001b[0m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_along_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcalc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    587\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 588\u001b[1;33m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcalc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    589\u001b[0m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    590\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mcalc\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m    574\u001b[0m                         \u001b[0mclosed\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclosed\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    575\u001b[0m                     )\n\u001b[1;32m--> 576\u001b[1;33m                     \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmin_periods\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    577\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    578\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mapply_func\u001b[1;34m(values, begin, end, min_periods, raw)\u001b[0m\n\u001b[0;32m   1413\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mraw\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1414\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1415\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mwindow_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbegin\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmin_periods\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1416\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1417\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mapply_func\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\window\\aggregations.pyx\u001b[0m in \u001b[0;36mpandas._libs.window.aggregations.roll_generic_fixed\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\hampel.py\u001b[0m in \u001b[0;36mmedian_absolute_deviation\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m      9\u001b[0m     \u001b[1;33m:\u001b[0m\u001b[1;32mreturn\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mMAD\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m     \"\"\"\n\u001b[1;32m---> 11\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mabs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mmedian\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\numpy\\lib\\function_base.py\u001b[0m in \u001b[0;36mmedian\u001b[1;34m(a, axis, out, overwrite_input, keepdims)\u001b[0m\n\u001b[0;32m   3492\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3493\u001b[0m     \"\"\"\n\u001b[1;32m-> 3494\u001b[1;33m     r, k = _ureduce(a, func=_median, axis=axis, out=out,\n\u001b[0m\u001b[0;32m   3495\u001b[0m                     overwrite_input=overwrite_input)\n\u001b[0;32m   3496\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mkeepdims\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\numpy\\lib\\function_base.py\u001b[0m in \u001b[0;36m_ureduce\u001b[1;34m(a, func, **kwargs)\u001b[0m\n\u001b[0;32m   3401\u001b[0m         \u001b[0mkeepdim\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3402\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3403\u001b[1;33m     \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3404\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkeepdim\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3405\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\numpy\\lib\\function_base.py\u001b[0m in \u001b[0;36m_median\u001b[1;34m(a, axis, out, overwrite_input)\u001b[0m\n\u001b[0;32m   3526\u001b[0m             \u001b[0mpart\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3527\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3528\u001b[1;33m         \u001b[0mpart\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpartition\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkth\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3529\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3530\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mpart\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mpartition\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\numpy\\core\\fromnumeric.py\u001b[0m in \u001b[0;36mpartition\u001b[1;34m(a, kth, axis, kind, order)\u001b[0m\n\u001b[0;32m    744\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    745\u001b[0m         \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0masanyarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"K\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 746\u001b[1;33m     \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpartition\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkth\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    747\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    748\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "ham = hampel(EMG1, window_size=50, n=3, imputation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(20,6))\n",
    "plt.plot(df['t[s]'],ham)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make windowed Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_windowed(data,win_len):\n",
    "    nb = data.shape[0]\n",
    "    X = []\n",
    "    for i in tqdm(range(nb-win_len)):\n",
    "        X.append(data[i:i+win_len])\n",
    "    return np.array(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Normalize whole DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "emg_df = df[emg_labels]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "import joblib\n",
    "# scaler = StandardScaler(with_mean=True,\n",
    "#                         with_std=True,\n",
    "#                         copy=False).fit(emg_df)\n",
    "scaler = joblib.load('prepared_data/restprosup_nina_scaler.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-1.47595964e-07 -4.95433231e-10 -4.10714448e-07  1.60397281e-08\n",
      " -3.63382074e-09 -4.26556525e-09  2.68832850e-09  6.83866895e-08]\n",
      "[5.93724357e-05 2.98404163e-05 2.69502547e-05 3.66504369e-05\n",
      " 1.26985981e-05 8.15400080e-06 2.20892385e-05 5.28347824e-05]\n",
      "8\n",
      "1651296\n",
      "[3.52508612e-09 8.90450448e-10 7.26316227e-10 1.34325452e-09\n",
      " 1.61254393e-10 6.64877290e-11 4.87934459e-10 2.79151423e-09]\n"
     ]
    }
   ],
   "source": [
    "print(scaler.mean_)\n",
    "print(scaler.scale_)\n",
    "print(scaler.n_features_in_)\n",
    "print(scaler.n_samples_seen_)\n",
    "print(scaler.var_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "emg_df = scaler.transform(emg_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>t[s]</th>\n",
       "      <th>emg1</th>\n",
       "      <th>emg2</th>\n",
       "      <th>emg3</th>\n",
       "      <th>emg4</th>\n",
       "      <th>emg5</th>\n",
       "      <th>emg6</th>\n",
       "      <th>emg7</th>\n",
       "      <th>emg8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000931</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.001397</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.001862</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430669</th>\n",
       "      <td>200.483845</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430670</th>\n",
       "      <td>200.484310</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430671</th>\n",
       "      <td>200.484776</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430672</th>\n",
       "      <td>200.485241</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430673</th>\n",
       "      <td>200.485707</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>430674 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              t[s]  emg1  emg2  emg3  emg4  emg5  emg6  emg7  emg8\n",
       "0         0.000000   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "1         0.000466   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "2         0.000931   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "3         0.001397   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "4         0.001862   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "...            ...   ...   ...   ...   ...   ...   ...   ...   ...\n",
       "430669  200.483845   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430670  200.484310   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430671  200.484776   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430672  200.485241   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "430673  200.485707   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0\n",
       "\n",
       "[430674 rows x 9 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[emg_labels] = emg_df\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_excel('Myotron_Controll_codes/sim_data/prosup_norm_200s.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_excel('Myotron_Controll_codes/sim_data/prosup_raw_200s.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Label TS Data [ProSup]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# file = 'Myotron_Controll_codes/sim_data/prosup_norm_200s.xlsx'\n",
    "file = 'Myotron_Controll_codes/sim_data/prosup_raw_200s.xlsx'\n",
    "df = pd.read_excel(file,index_col=0)\n",
    "labels = np.zeros(df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "duration = 200\n",
    "s_rate = int(df.shape[0]/duration)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Label generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bf73b5d2c98c444bba56b732b88ea221",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=200.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(430600,)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = []\n",
    "label_txt = ['Rest','Supplination','Pronation']\n",
    "\n",
    "cycle_period = 5\n",
    "intvl_1 = 3\n",
    "intvl_2 = 2\n",
    "\n",
    "int_1 = intvl_1\n",
    "int_2 = intvl_2\n",
    "while len(labels)<200:\n",
    "    int_1 = intvl_1\n",
    "    int_2 = intvl_2\n",
    "    while int_1>0:\n",
    "        labels.append(1)\n",
    "        int_1=int_1-1\n",
    "    while int_2>0:\n",
    "        labels.append(0)\n",
    "        int_2 = int_2-1\n",
    "labels_cycle = []\n",
    "for i in range(int(duration/cycle_period)):\n",
    "    for j in range(cycle_period):\n",
    "        if(i%2 == 0):\n",
    "            labels_cycle.append(1)\n",
    "        if(i%2 == 1):\n",
    "            labels_cycle.append(2) \n",
    "for i in range(duration):\n",
    "    if(labels[i]==0):\n",
    "        labels_cycle[i] = 0\n",
    "emg_labels = []\n",
    "for i in tqdm(range(duration)):\n",
    "    for j in range(s_rate):\n",
    "        emg_labels.append(labels_cycle[i])\n",
    "emg_labels = np.array(emg_labels)\n",
    "emg_labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>emg1</th>\n",
       "      <th>emg2</th>\n",
       "      <th>emg3</th>\n",
       "      <th>emg4</th>\n",
       "      <th>emg5</th>\n",
       "      <th>emg6</th>\n",
       "      <th>emg7</th>\n",
       "      <th>emg8</th>\n",
       "      <th>labels</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t[s]</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>0.001397</th>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200.483845</th>\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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>200.484310</th>\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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>200.484776</th>\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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>200.485241</th>\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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>200.485707</th>\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",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>430674 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            emg1  emg2  emg3  emg4  emg5  emg6  emg7  emg8  labels\n",
       "t[s]                                                              \n",
       "0.000000     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "0.000466     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "0.000931     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "0.001397     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "0.001862     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "...          ...   ...   ...   ...   ...   ...   ...   ...     ...\n",
       "200.483845   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "200.484310   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "200.484776   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "200.485241   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "200.485707   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0       0\n",
       "\n",
       "[430674 rows x 9 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dif_len = df.shape[0] - emg_labels.shape[0]\n",
    "emg_labels = list(emg_labels)\n",
    "dif_labels = []\n",
    "for i in range(dif_len):\n",
    "    dif_labels.append(0)\n",
    "emg_labels = dif_labels + emg_labels\n",
    "emg_labels = np.array(emg_labels)\n",
    "df['labels'] = emg_labels\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.to_excel('Myotron_Controll_codes/sim_data/prosup_norm_200s_labeled.xlsx')\n",
    "df.to_excel('Myotron_Controll_codes/sim_data/prosup_raw_200s_labeled.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4abcf6c9088d4f31915777a10a78fb74",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=430424.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "cannot copy sequence with size 430674 to array axis with dimension 8",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-76-7ae4f0596c10>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0memg_labels\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'emg1'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg2'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg3'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg4'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg5'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg6'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg7'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'emg8'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0memg_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0memg_labels\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmake_windowed\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0memg_df\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m250\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-73-9632ee25e881>\u001b[0m in \u001b[0;36mmake_windowed\u001b[1;34m(data, win_len)\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnb\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mwin_len\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m         \u001b[0mX\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mwin_len\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m: cannot copy sequence with size 430674 to array axis with dimension 8"
     ]
    }
   ],
   "source": [
    "emg_labels = ['emg1','emg2','emg3','emg4','emg5','emg6','emg7','emg8']\n",
    "emg_df = df[emg_labels]\n",
    "X = make_windowed(emg_df,250)\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Label TS Data [FlexEx/Radial]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = 'Myotron_Controll_codes/sim_data/flexex_norm_200s.xlsx'\n",
    "df = pd.read_excel(file,index_col=0)\n",
    "labels = np.zeros(df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "duration = 200\n",
    "s_rate = int(df.shape[0]/duration)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = []\n",
    "label_txt = ['Rest','Extension','Flexion']\n",
    "label_txt = ['Rest','Radial','Ulnar']\n",
    "cycle_period = 5\n",
    "intvl_1 = 3\n",
    "intvl_2 = 2\n",
    "\n",
    "int_1 = intvl_1\n",
    "int_2 = intvl_2\n",
    "while len(labels)<200:\n",
    "    int_1 = intvl_1\n",
    "    int_2 = intvl_2\n",
    "    while int_1>0:\n",
    "        labels.append(1)\n",
    "        int_1=int_1-1\n",
    "    while int_2>0:\n",
    "        labels.append(0)\n",
    "        int_2 = int_2-1\n",
    "len(labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flexex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_cycle = []\n",
    "for i in range(int(duration/(cycle_period*2))):\n",
    "    for j in range(cycle_period):\n",
    "        if(i%2 == 0):\n",
    "            labels_cycle.append(2)\n",
    "            labels_cycle.append(2)\n",
    "        if(i%2 == 1):\n",
    "            labels_cycle.append(1)\n",
    "            labels_cycle.append(1)\n",
    "    if len(labels_cycle)==duration:\n",
    "        break\n",
    "labels_cycle = list(np.ones(5,dtype=int))+labels_cycle\n",
    "labels_cycle = labels_cycle[0:200]\n",
    "len(labels_cycle)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Radial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_cycle = []\n",
    "for i in range(int(duration/(cycle_period*2))):\n",
    "    for j in range(cycle_period):\n",
    "        if(i%2 == 0):\n",
    "            labels_cycle.append(1)\n",
    "            labels_cycle.append(1)\n",
    "        if(i%2 == 1):\n",
    "            labels_cycle.append(2)\n",
    "            labels_cycle.append(2)\n",
    "    if len(labels_cycle)==duration:\n",
    "        break\n",
    "labels_cycle = list(2*np.ones(5,dtype=int))+labels_cycle\n",
    "labels_cycle = labels_cycle[0:200]\n",
    "len(labels_cycle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(duration):\n",
    "    if(labels[i]==0):\n",
    "        labels_cycle[i] = 0\n",
    "len(labels_cycle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7549e4f4bd3d4dd8ba34ef8e6676140a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=200.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(430600,)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emg_labels = []\n",
    "for i in tqdm(range(duration)):\n",
    "    for j in range(s_rate):\n",
    "        emg_labels.append(labels_cycle[i])\n",
    "emg_labels = np.array(emg_labels)\n",
    "emg_labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>430674 rows × 9 columns</p>\n",
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      ],
      "text/plain": [
       "                emg1      emg2     emg3      emg4      emg5      emg6  \\\n",
       "t[s]                                                                    \n",
       "0.000000   -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "0.000466   -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "0.000931   -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "0.001397   -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "0.001862   -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "...              ...       ...      ...       ...       ...       ...   \n",
       "200.483845 -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "200.484310 -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "200.484776 -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "200.485241 -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "200.485707 -0.002446  0.296217  0.97785 -0.114685  0.552607 -0.340385   \n",
       "\n",
       "                emg7      emg8  labels  \n",
       "t[s]                                    \n",
       "0.000000    1.770323 -0.483935       0  \n",
       "0.000466    1.770323 -0.483935       0  \n",
       "0.000931    1.770323 -0.483935       0  \n",
       "0.001397    1.770323 -0.483935       0  \n",
       "0.001862    1.770323 -0.483935       0  \n",
       "...              ...       ...     ...  \n",
       "200.483845  1.770323 -0.483935       0  \n",
       "200.484310  1.770323 -0.483935       0  \n",
       "200.484776  1.770323 -0.483935       0  \n",
       "200.485241  1.770323 -0.483935       0  \n",
       "200.485707  1.770323 -0.483935       0  \n",
       "\n",
       "[430674 rows x 9 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dif_len = df.shape[0] - emg_labels.shape[0]\n",
    "emg_labels = list(emg_labels)\n",
    "dif_labels = []\n",
    "for i in range(dif_len):\n",
    "    dif_labels.append(0)\n",
    "emg_labels = dif_labels + emg_labels\n",
    "emg_labels = np.array(emg_labels)\n",
    "df['labels'] = emg_labels\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_excel('Myotron_Controll_codes/sim_data/flexex_norm_200s_labeled.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analyser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('Myotron_Controll_codes/sim_data/norm_emg_200s',emg_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "94ec59566fc849b08e2db3714485a654",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=430424.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "windowed_test = make_windowed(emg_df,250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('Myotron_Controll_codes/sim_data/test2_mixed_windowed_200s',windowed_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "windowed_test = np.load('Myotron_Controll_codes/sim_data/test2_mixed_windowed_200s.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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(windowed_test[50000])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.0 64-bit",
   "language": "python",
   "name": "python38064bitcaed634bb72a48a5bf9eda0dc4f94389"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}