{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a4d6f31a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "30584de8",
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fe56b410",
   "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>recommendation</th>\n",
       "      <th>votes</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lubuntu</td>\n",
       "      <td>2</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Linux Mint</td>\n",
       "      <td>17</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Zorin OS</td>\n",
       "      <td>0</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NixOS</td>\n",
       "      <td>5</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EndeavourOS</td>\n",
       "      <td>2</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  recommendation  votes   class\n",
       "0        Lubuntu      2  distro\n",
       "1     Linux Mint     17  distro\n",
       "2       Zorin OS      0  distro\n",
       "3          NixOS      5  distro\n",
       "4    EndeavourOS      2  distro"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poll_results = pd.read_csv('linux_poll_data.csv')\n",
    "poll_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "897c0414",
   "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>recommendation</th>\n",
       "      <th>votes</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Linux Mint</td>\n",
       "      <td>17</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Fedora</td>\n",
       "      <td>5</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NixOS</td>\n",
       "      <td>5</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Arch</td>\n",
       "      <td>4</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Debian</td>\n",
       "      <td>4</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Manjaro</td>\n",
       "      <td>3</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EndeavourOS</td>\n",
       "      <td>2</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lubuntu</td>\n",
       "      <td>2</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ubuntu</td>\n",
       "      <td>2</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Crystal Linux</td>\n",
       "      <td>1</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Devuan</td>\n",
       "      <td>1</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Void Linux</td>\n",
       "      <td>1</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>openSUSE</td>\n",
       "      <td>1</td>\n",
       "      <td>distro</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   recommendation  votes   class\n",
       "1      Linux Mint     17  distro\n",
       "6          Fedora      5  distro\n",
       "3           NixOS      5  distro\n",
       "5            Arch      4  distro\n",
       "8          Debian      4  distro\n",
       "7         Manjaro      3  distro\n",
       "4     EndeavourOS      2  distro\n",
       "0         Lubuntu      2  distro\n",
       "9          Ubuntu      2  distro\n",
       "13  Crystal Linux      1  distro\n",
       "10         Devuan      1  distro\n",
       "12     Void Linux      1  distro\n",
       "11       openSUSE      1  distro"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distros = poll_results[(poll_results['class'] == 'distro') & (poll_results['votes'] > 0)]\n",
    "distros = distros.sort_values(by=['votes', 'recommendation'], ascending=[False, True])\n",
    "distros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "84a22bd8",
   "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>recommendation</th>\n",
       "      <th>votes</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>KDE Plasma</td>\n",
       "      <td>2</td>\n",
       "      <td>desktop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>GNOME</td>\n",
       "      <td>1</td>\n",
       "      <td>desktop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>i3</td>\n",
       "      <td>1</td>\n",
       "      <td>desktop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>XFCE</td>\n",
       "      <td>1</td>\n",
       "      <td>desktop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   recommendation  votes    class\n",
       "17     KDE Plasma      2  desktop\n",
       "14          GNOME      1  desktop\n",
       "15             i3      1  desktop\n",
       "16           XFCE      1  desktop"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desktops = poll_results[poll_results['class'] == 'desktop']\n",
    "desktops = desktops.sort_values(by=['votes'], ascending=False)\n",
    "desktops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f73e712",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Wv/GAAQOwatUqXL16FT179oSnpyfq1auHffv2vVAZzV52eU+t7I6Ojinmu3n4s8vN8wwePBh37tzBvHnzcOrUqTRPMRmNRrRp0wZbt27F5MmT8euvvyIsLAzHjh0DYL1N27BhAwYOHIiVK1eiQYMGKFiwIF5//XXcunXrueW5d+8eihYtatWHBgA8PT2h0+nU3+fevXupLm/PLpP3798HyUytq9mx3f43SHmYIsT/M2+knu3YltYO/OHDhxgwYADKlSuHv//+G2+88QZ27Njx0uUICwvDrVu30tyQmVWtWhXr168HSYSHh2P16tWYM2cOXFxcMHXq1AxN69mNlHnDERMTkyKBuHnzJgoVKpSh761YsaLa6bd58+YwGAxYuXIlNm/ejF69eqnfM23aNKtz75bKly8PwHT1zPM6H3t4eCAmJibFcHNHwYyWO7tlpt4ZZZ5nt27dsmot0uv1KZbdH3/8EQEBAVi+fLnV8GcvCX6R6af1+7/obz948GAMHjwYDx8+REhICGbPno1OnTrh0qVLaV6h9DzpLe/PepmyvygfHx+0atUK77//PsqXL4+GDRumOt65c+dw9uxZrF69GgMHDlSHmzs0WypUqBAWL16MxYsX49q1a9i5c6d6daG5b1RaPDw8cPz4cZC0+u1u374NvV6v/j4eHh7q8maZfDybMLm7u0Oj0djFumrrpGVGpKlIkSJwdnZGeHi41fC0EpSRI0fi2rVr2Lp1K7755hvs3LnT6gqkFxEbG4uRI0fCwcEhw52TFUVB9erV8emnn6JAgQI4deqU+p6Tk1OmjmBatGgBwLTTs3TixAlERESgZcuWGf4uSwsXLoS7uztmzZoFo9GI8uXLo2zZsjh79izq1KmT6p+rqysAoH379ti/f3+K5mdLLVu2xB9//GFVd8DUQqQoCpo3b/5C5c5qmal3RpmvUHv23kQbN25McemxoigpLqkODw9XO3yaZebot0GDBnBxcUmxzFy/fh3BwcEvvMyY5c2bF+3bt8eMGTPw9OlTnD9//qW+z1J2l/1FvP322+jcuXO6Ha7NicWz8/LLL79M97t9fX0xduxYtG7dOkPbiZYtW+LBgwcpbqnw/fffq+8DUNevZ5fBtWvXWr3Omzcv6tWrh61bt1pNz2g04scff0Tx4sVTvXJLpCQtM/8CwcHBqd4J0/Jc9otQFAX9+/fHqlWrULp0aVSvXh1hYWEpVkgAWLlyJX788Ud8++23qFy5MipXroyxY8diypQpaNSoUYq+G6mJjIzEsWPHYDQace/ePRw/fhzffPMNEhIS8P3336Ny5cppfvbnn3/GsmXL0K1bN5QqVQoksXXrVsTFxVn126latSoOHDiAn376CV5eXnB1dU33yL98+fIYPnw4Pv/8c2g0GrRv3x5XrlzBzJkz4ePj88I3IHN3d8e0adMwefJkrF27Fv3798eXX36J9u3bo23bthg0aBCKFSuG2NhYRERE4NSpU9i0aRMA0x1Qd+/ejaZNm2L69OmoWrUq4uLisGfPHkycOBEVKlTAhAkT8P3336Njx46YM2cO/Pz8sGvXLixbtgyjRo2yqQ1kRuudURUrVkT//v2xePFiODg4oFWrVjh37hw++eSTFDdb69SpEz744APMnj0bzZo1w8WLFzFnzhyULFnSKvFxdXWFn58fduzYgZYtW6JgwYIoVKgQSpQokWL6BQoUwMyZMzF9+nS8/vrr6Nu3L+7du4f3338fzs7OmD17dqZ/o2HDhsHFxQWNGjWCl5cXbt26hfnz58PNzQ3+/v6Z/r60ZEfZX1abNm3Qpk2bdMepUKECSpcujalTp4IkChYsiJ9++inFabj4+Hg0b94c/fr1Q4UKFeDq6ooTJ05gz549Vi2DVatWxdatW7F8+XLUrl0bGo0GderUweuvv44vvvgCAwcOxJUrV1C1alUcPnwY8+bNQ4cOHdCqVSu1zE2bNsXkyZPx8OFD1KlTB0eOHMEPP/yQouzz589H69at0bx5c7zzzjtwdHTEsmXLcO7cOaxbty5F65lIQy52PhYvydy7Pa2/qKiodK9munPnTqrfZ3mFQHx8PN944w0WKVKEefPmZefOnXnlyhWrHvnh4eF0cXFJcZXIkydPWLt2bZYoUYL3799Psx7mKyvMfzqdjh4eHmzQoAGnT5/OK1eupFl3c1kvXLjAvn37snTp0nRxcaGbmxvr1q3L1atXW33uzJkzbNSoEfPkyUMAbNasmdX3pXZlmMFg4IIFC1iuXDk6ODiwUKFC7N+/P6Ojo9Os07PlTO17Hz9+TF9fX5YtW5Z6vZ4kefbsWfbp04eenp50cHBg0aJF2aJFC65YscLqs9HR0RwyZAiLFi1KBwcHent7s0+fPvz777/Vca5evcp+/frRw8ODDg4OLF++PD/++GOrq5bMy8fHH39s9f1pXWGWWn1Su1qG/OeqFEtpTS8j9U7rtzSXdf/+/eqwpKQkvv322/T09KSzszPr16/P0NBQ+vn5WS2nSUlJfOedd1isWDE6OzuzVq1a3L59OwcOHJjiapZffvmFNWvWpJOTk9VVUamtNyS5cuVKVqtWjY6OjnRzc2PXrl15/vx5q3EGDhzIvHnzpvjtzOuo2XfffcfmzZuzSJEidHR0VOd3eHh4is8+K72rmdK6gvBlyt6sWTNWrlw5Q+VITWrLzbNSu5rpjz/+YOvWrenq6kp3d3f27t2b165ds9pWPXnyhCNHjmS1atWYP39+uri4sHz58pw9e7bVVXexsbHs1asXCxQoQEVRrObFvXv3OHLkSHp5eVGn09HPz4/Tpk3jkydPrMoYFxfHIUOGsECBAsyTJw9bt27NCxcupHpV3KFDh9iiRQvmzZuXLi4urF+/Pn/66SercTKz/P8XKWQW3eJUCCGEECIXSJ8ZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdf+9TfNMxqNuHnzJlxdXeXmQ0IIIYSdIInExER4e3tbPQg3Nf/6ZObmzZvw8fHJ7WIIIYQQ4gVER0c/9+G6//pkxvxcl+jo6BS3MhdCCCGEbUpISICPj0+Gns/2r09mzKeW8ufPL8mMEEIIYWcy0kVEOgALIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmi63C2DvSkzdlaPTu/JRxxydnhBCCGHrpGVGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh13I1mQkJCUHnzp3h7e0NRVGwffv2FONERESgS5cucHNzg6urK+rXr49r167lfGGFEEIIYZNyNZl5+PAhqlevjqVLl6b6/p9//onGjRujQoUKOHDgAM6ePYuZM2fC2dk5h0sqhBBCCFuly82Jt2/fHu3bt0/z/RkzZqBDhw5YuHChOqxUqVI5UTQhhBBC2Amb7TNjNBqxa9culCtXDm3btoWnpyfq1auX6qkoS0lJSUhISLD6AwCDwaD+Ty3W6/VWsdFoTDdOTk5WYyctoYDPxIST1vRfUWNYxRoQTpp/YkdzrPwTa5+J9Xp9uvXIqjolJyeDpFVMMkUMwCo2Go1Wsbm8acUGg0HqJHWSOkmdpE5Sp1TjjLLZZOb27dt48OABPvroI7Rr1w5BQUHo3r07evTogYMHD6b5ufnz58PNzU398/HxAQCcO3cOgKkPTkREBAAgPDwckZGRAIDTp08jKioKABAWFobo6GgAwNGjRxETEwPA1Mfn7t27AIDg4GDExcUBAObUMqCIi2n6C+sakN8RcNKaYictkN/RFANAERfT+ADgmw+YXsMUl3MjJlY1xdXcidGVTLF/YWJIedOMbVKUOH36NAAgMjIS4eHh2VanoKAgJCYmAgACAwPx5MkT6PV6BAYGQq/X48mTJwgMDAQAJCYmIigoCAAQFxeH4OBgAMDdu3cREhICAIiJicHRo0cBANHR0QgLCwMAREVFSZ2kTlInqZPUSeqUok5HjhxBRik0p2y5TFEUbNu2Dd26dQMA3Lx5E8WKFUPfvn2xdu1adbwuXbogb968WLduXarfk5SUhKSkJPV1QkICfHx8EBsbC3d3dzUT1Gq1VrFer4eiKGqs0Wig0WjSjJOTk6HValFq+m44aYmnBlMbzD+xKaFJMgAKAEctkGRQoIBqrAHhoAGSjKZYpwGeGhVoFEKnmGKtQmgt4osftINOp0uzHllRJ3Os0+mgKIoaA6ZM2TJ2cHAASTU2Go0wGAxqbDQaodPp0owNBgNISp2kTlInqZPUSepkFcfGxsLDwwPx8fHInz8/0pOrfWbSU6hQIeh0OlSqVMlqeMWKFXH48OE0P+fk5AQnJ6cUw7VardX/Z2PzTM1o7ODgoMZJBiWN2PSfVrGixkYoSDL+Ez81x1Tw9P9TTAMVGCxicxnSqkdW1SkzsaIoamxeCDMaZ6QeUiepk9RJ6iR1+m/X6Xls9jSTo6Mj/P39cfHiRavhly5dgp+fXy6VSgghhBC2JldbZh48eIDLly+rr6OionDmzBkULFgQvr6+mDRpEl555RU0bdoUzZs3x549e/DTTz/hwIEDuVdoIYQQQtiUXE1mTp48iebNm6uvJ06cCAAYOHAgVq9eje7du2PFihWYP38+xo0bh/Lly2PLli1o3LhxbhVZCCGEEDYmV5OZgIAAPK//8ZAhQzBkyJAcKpEQQggh7I3N9pkRQgghhMgISWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXcvVZCYkJASdO3eGt7c3FEXB9u3b0xx3xIgRUBQFixcvzrHyCSGEEML25Woy8/DhQ1SvXh1Lly5Nd7zt27fj+PHj8Pb2zqGSCSGEEMJe6HJz4u3bt0f79u3THefGjRsYO3Ys9u7di44dO+ZQyYQQQghhL2y6z4zRaMSAAQMwadIkVK5cOUOfSUpKQkJCgtUfABgMBvV/arFer7eKjUZjunFycrIaO2kJBXwmJpy0pv+KGsMq1oBw0vwTO5pj5Z9Y+0ys1+vTrUdW1Sk5ORkkrWKSKWIAVrHRaLSKzeVNKzYYDFInqZPUSeokdZI6pRpnlE0nMwsWLIBOp8O4ceMy/Jn58+fDzc1N/fPx8QEAnDt3DgAQERGBiIgIAEB4eDgiIyMBAKdPn0ZUVBQAICwsDNHR0QCAo0ePIiYmBoCpj8/du3cBAMHBwYiLiwMAzKllQBEX0/QX1jUgvyPgpDXFTlogv6MpBoAiLqbxAcA3HzC9hiku50ZMrGqKq7kToyuZYv/CxJDyphnbpChx+vRpAEBkZCTCw8OzrU5BQUFITEwEAAQGBuLJkyfQ6/UIDAyEXq/HkydPEBgYCABITExEUFAQACAuLg7BwcEAgLt37yIkJAQAEBMTg6NHjwIAoqOjERYWBgCIioqSOkmdpE5SJ6mT1ClFnY4cOYKMUmhO2XKZoijYtm0bunXrBgD47bff0LFjR5w6dUrtK1OiRAmMHz8e48ePT/N7kpKSkJSUpL5OSEiAj48PYmNj4e7urmaCWq3WKtbr9VAURY01Gg00Gk2acXJyMrRaLUpN3w0nLfHUYGqD+Sc2JTRJBkAB4KgFkgwKFFCNNSAcNECS0RTrNMBTowKNQugUU6xVCK1FfPGDdtDpdGnWIyvqZI51Oh0URVFjwJQpW8YODg4gqcZGoxEGg0GNjUYjdDpdmrHBYABJqZPUSeokdZI6SZ2s4tjYWHh4eCA+Ph758+dHemw2mVm8eDEmTpwIjeafxiODwQCNRgMfHx9cuXIlQ9+bkJAANze3DP0YL6LE1F1Z/p3pufKR9BsSQgjx75eZ/XeudgBOz4ABA9CqVSurYW3btsWAAQMwePDgXCqVEEIIIWxNriYzDx48wOXLl9XXUVFROHPmDAoWLAhfX194eHhYje/g4ICiRYuifPnyOV1UIYQQQtioXE1mTp48iebNm6uvJ06cCAAYOHAgVq9enUulEkIIIYQ9ydVkJiAgAJnpspPRfjJCCCGE+O+w6UuzhRBCCCGeR5IZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQtg1SWaEEEIIYdckmRFCCCGEXZNkRgghhBB2TZIZIYQQQti1XE1mQkJC0LlzZ3h7e0NRFGzfvl19Lzk5GVOmTEHVqlWRN29eeHt74/XXX8fNmzdzr8BCCCGEsDm5msw8fPgQ1atXx9KlS1O89+jRI5w6dQozZ87EqVOnsHXrVly6dAldunTJhZIKIYQQwlbpcnPi7du3R/v27VN9z83NDfv27bMa9vnnn6Nu3bq4du0afH19c6KIQgghhLBxdtVnJj4+HoqioECBAmmOk5SUhISEBKs/ADAYDOr/1GK9Xm8VG43GdOPk5GQ1dtISCvhMTDhpTf8VNYZVrAHhpPkndjTHyj+x9plYr9enW4+sqlNycjJIWsUkU8QArGKj0WgVm8ubVmwwGKROUiepk9RJ6iR1SjXOKLtJZp48eYKpU6eiX79+yJ8/f5rjzZ8/H25ubuqfj48PAODcuXMAgIiICERERAAAwsPDERkZCQA4ffo0oqKiAABhYWGIjo4GABw9ehQxMTEATH187t69CwAIDg5GXFwcAGBOLQOKuJimv7CuAfkdASetKXbSAvkdTTEAFHExjQ8AvvmA6TVMcTk3YmJVU1zNnRhdyRT7FyaGlDfN2CZFidOnTwMAIiMjER4enm11CgoKQmJiIgAgMDAQT548gV6vR2BgIPR6PZ48eYLAwEAAQGJiIoKCggAAcXFxCA4OBgDcvXsXISEhAICYmBgcPXoUABAdHY2wsDAAQFRUlNRJ6iR1kjpJnaROKep05MgRZJRCc8qWyxRFwbZt29CtW7cU7yUnJ6N37964du0aDhw4kG4yk5SUhKSkJPV1QkICfHx8EBsbC3d3dzUT1Gq1VrFer4eiKGqs0Wig0WjSjJOTk6HValFq+m44aYmnBlMbzD+xKaFJMgAKAEctkGRQoIBqrAHhoAGSjKZYpwGeGhVoFEKnmGKtQmgt4osftINOp0uzHllRJ3Os0+mgKIoaA6ZM2TJ2cHAASTU2Go0wGAxqbDQaodPp0owNBgNISp2kTlInqZPUSepkFcfGxsLDwwPx8fHp7vcBO0hmkpOT0adPH/z1118IDg6Gh4dHpr43ISEBbm5uGfoxXkSJqbuy/DvTc+Wjjjk6PSGEECI3ZGb/nasdgJ/HnMhERkZi//79mU5khBBCCPHvl6vJzIMHD3D58mX1dVRUFM6cOYOCBQvC29sbvXr1wqlTp/Dzzz/DYDDg1q1bAICCBQvC0dExt4othBBCCBuSq8nMyZMn0bx5c/X1xIkTAQADBw7Ee++9h507dwIAatSoYfW5/fv3IyAgIKeKKYQQQggblqvJTEBAANLrsmMj3XmEEEIIYcPs5tJsIYQQQojUSDIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLuWq8lMSEgIOnfuDG9vbyiKgu3bt1u9TxLvvfcevL294eLigoCAAJw/fz53CiuEEEIIm5SryczDhw9RvXp1LF26NNX3Fy5ciEWLFmHp0qU4ceIEihYtitatWyMxMTGHSyqEEEIIW6XLzYm3b98e7du3T/U9kli8eDFmzJiBHj16AAC+++47FClSBGvXrsWIESNysqhCCCGEsFE222cmKioKt27dQps2bdRhTk5OaNasGY4ePZqLJRNCCCGELbHZZObWrVsAgCJFilgNL1KkiPpeapKSkpCQkGD1BwAGg0H9n1qs1+utYqPRmG6cnJysxk5aQgGfiQknrem/osawijUgnDT/xI7mWPkn1j4T6/X6dOuRVXVKTk4GSauYZIoYgFVsNBqtYnN504oNBoPUSeokdZI6SZ2kTqnGGWWzyYyZoihWr0mmGGZp/vz5cHNzU/98fHwAAOfOnQMAREREICIiAgAQHh6OyMhIAMDp06cRFRUFAAgLC0N0dDQA4OjRo4iJiQFg6rB89+5dAEBwcDDi4uIAAHNqGVDExTT9hXUNyO8IOGlNsZMWyO9oigGgiItpfADwzQdMr2GKy7kRE6ua4mruxOhKpti/MDGkvGnGNilKnD59GgAQGRmJ8PDwbKtTUFCQ2jcpMDAQT548gV6vR2BgIPR6PZ48eYLAwEAAQGJiIoKCggAAcXFxCA4OBgDcvXsXISEhAICYmBi1RS06OhphYWEATC1wUiepk9RJ6iR1kjo9W6cjR44goxSaU7ZcpigKtm3bhm7dugEA/vrrL5QuXRqnTp1CzZo11fG6du2KAgUK4Lvvvkv1e5KSkpCUlKS+TkhIgI+PD2JjY+Hu7q5mglqt1irW6/VQFEWNNRoNNBpNmnFycjK0Wi1KTd8NJy3x1GBqg/knNiU0SQZAAeCoBZIMChRQjTUgHDRAktEU6zTAU6MCjULoFFOsVQitRXzxg3bQ6XRp1iMr6mSOdTodFEVRY8CUKVvGDg4OIKnGRqMRBoNBjY1GI3Q6XZqxwWAASamT1EnqJHWSOkmdrOLY2Fh4eHggPj4e+fPnR3psNpkhCW9vb0yYMAGTJ08GADx9+hSenp5YsGBBhjsAJyQkwM3NLUM/xosoMXVXln9neq581DFHpyeEEELkhszsv3P1aqYHDx7g8uXL6uuoqCicOXMGBQsWhK+vL8aPH4958+ahbNmyKFu2LObNm4c8efKgX79+uVhqIYQQQtiSXE1mTp48iebNm6uvJ06cCAAYOHAgVq9ejcmTJ+Px48cYPXo07t+/j3r16iEoKAiurq65VWQhhBBC2JiXPs2UkJCA4OBglC9fHhUrVsyqcmUZOc0khBBC2J/M7L8zfTVTnz591Dv2Pn78GHXq1EGfPn1QrVo1bNmy5cVKLIQQQgjxgjKdzISEhKBJkyYAgG3btoEk4uLisGTJEnz44YdZXkAhhBBCiPRkOpmJj49HwYIFAQB79uxBz549kSdPHnTs2FG9flwIIYQQIqdkOpnx8fFBaGgoHj58iD179qiPG7h//z6cnZ2zvIBCCCGEEOnJ9NVM48ePx2uvvYZ8+fLB19cXAQEBAEynn6pWrZrV5RNCCCGESFemk5nRo0ejbt26iI6ORuvWraHRmBp3SpUqJX1mhBBCCJHjXug+M3Xq1EG1atUQFRWF0qVLQ6fToWNHuWRYCCGEEDkv031mHj16hKFDhyJPnjyoXLkyrl27BgAYN24cPvrooywvoBBCCCFEejKdzEybNg1nz57FgQMHrDr8tmrVChs2bMjSwgkhhBBCPE+mTzNt374dGzZsQP369aEoijq8UqVK+PPPP7O0cEIIIYQQz5Pplpk7d+7A09MzxfCHDx9aJTdCCCGEEDkh08mMv78/du3653lE5gTm66+/RoMGDbKuZEIIIYQQGZDp00zz589Hu3bt8Mcff0Cv1+Ozzz7D+fPnERoaioMHD2ZHGYUQQggh0pTplpmGDRviyJEjePToEUqXLo2goCAUKVIEoaGhqF27dnaUUQghhBAiTS90n5mqVaviu+++y+qyCCGEEEJkWqZbZrRaLW7fvp1i+L1796DVarOkUEIIIYQQGZXpZIZkqsOTkpLg6Oj40gUSQgghhMiMDJ9mWrJkCQDT1UsrV65Evnz51PcMBgNCQkJQoUKFrC+hEEIIIUQ6MpzMfPrppwBMLTMrVqywOqXk6OiIEiVKYMWKFVlfQiGEEEKIdGQ4mYmKigIANG/eHFu3boW7u3u2FUoIIYQQIqMyfTXT/v371djcf0bu/CuEEEKI3JLpDsAA8P3336Nq1apwcXGBi4sLqlWrhh9++CGryyaEEEII8VyZbplZtGgRZs6cibFjx6JRo0YgiSNHjmDkyJG4e/cuJkyYkB3lFEIIIYRIVaaTmc8//xzLly/H66+/rg7r2rUrKleujPfee0+SGSGEEELkqEyfZoqJiUHDhg1TDG/YsCFiYmKypFBCCCGEEBmV6WSmTJky2LhxY4rhGzZsQNmyZbOkUEIIIYQQGZXh00xnzpxBjRo1MGfOHPTp0wchISFo1KgRFEXB4cOH8euvv6aa5AghhBBCZKcMt8zUqlULtWvXxt9//42wsDAUKlQI27dvx9atW1GoUCGEhYWhe/fu2VlWIYQQQogUMtwyc+TIEaxatQpTp05FcnIyevTogY8//hgtWrTIzvIJIYQQQqQrwy0zDRo0wNdff41bt25h+fLluH79Olq3bo3SpUtj7ty5uH79enaWUwghhBAiVZnuAOzi4oKBAwfiwIEDuHTpEvr27Ysvv/wSJUuWRIcOHbKjjEIIIYQQaXqhOwCblS5dGlOnTsWMGTOQP39+7N27N6vKBQDQ6/V49913UbJkSbi4uKBUqVKYM2cOjEZjlk5HCCGEEPYr0zfNMzt48CBWrVqFLVu2QKvVok+fPhg6dGhWlg0LFizAihUr8N1336Fy5co4efIkBg8eDDc3N7z11ltZOi0hhBBC2KdMJTPR0dFYvXo1Vq9ejaioKDRs2BCff/45+vTpg7x582Z54UJDQ9G1a1d07NgRAFCiRAmsW7cOJ0+ezPJpCSGEEMI+Zfg0U+vWrVGyZEksW7YMvXr1QkREBA4fPozBgwdnSyIDAI0bN8avv/6KS5cuAQDOnj2Lw4cPp9s3JykpCQkJCVZ/AGAwGNT/qcV6vd4qNp/KSitOTk5WYyctoYDPxIST1vRfUWNYxRoQTpp/YkdzrPwTa5+J9Xp9uvXIqjolJyerT0U3xyRTxACsYqPRaBWby5tWbDAYpE5SJ6mT1EnqJHVKNc6oDCczLi4u2LJlC65fv44FCxagfPnyGZ7Ii5oyZQr69u2LChUqwMHBATVr1sT48ePRt2/fND8zf/58uLm5qX8+Pj4AgHPnzgEAIiIiEBERAQAIDw9HZGQkAOD06dOIiooCAISFhSE6OhoAcPToUfUxDSEhIbh79y4AIDg4GHFxcQCAObUMKOJimv7CugbkdwSctKbYSQvkdzTFAFDExTQ+APjmA6bXMMXl3IiJVU1xNXdidCVT7F+YGFLeNGObFCVOnz4NAIiMjER4eHi21SkoKAiJiYkAgMDAQDx58gR6vR6BgYHQ6/V48uQJAgMDAQCJiYkICgoCAMTFxSE4OBgAcPfuXYSEhAAwPQbj6NGjAEwtfGFhYQCAqKgoqZPUSeokdZI6SZ1S1OnIkSPIKIXmlM0GrV+/HpMmTcLHH3+MypUr48yZMxg/fjwWLVqEgQMHpvqZpKQkJCUlqa8TEhLg4+OD2NhYuLu7q5mgVqu1ivV6PRRFUWONRgONRpNmnJycDK1Wi1LTd8NJSzw1mNpg/olNCU2SAVAAOGqBJIMCBVRjDQgHDZBkNMU6DfDUqECjEDrFFGsVQmsRX/ygHXQ6XZr1yIo6mWOdTgdFUdQYMGXKlrGDgwNIqrHRaITBYFBjo9EInU6XZmwwGEBS6iR1kjpJnaROUierODY2Fh4eHoiPj0f+/PmRHptOZnx8fDB16lSMGTNGHfbhhx/ixx9/xIULFzL0HQkJCXBzc8vQj/EiSkzdleXfmZ4rH3XM0ekJIYQQuSEz+++XujQ7uz169AgajXURtVqtXJothBBCCNULX5qdEzp37oy5c+fC19cXlStXxunTp7Fo0SIMGTIkt4smhBBCCBth08nM559/jpkzZ2L06NG4ffs2vL29MWLECMyaNSu3iyaEEEIIG2HTyYyrqysWL16MxYsX53ZRhBBCCGGjbLrPjBBCCCHE80gyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7ZvPJzI0bN9C/f394eHggT548qFGjBn777bfcLpYQQgghbIQutwuQnvv376NRo0Zo3rw5du/eDU9PT/z5558oUKBAbhdNCCGEEDbCppOZBQsWwMfHB99++606rESJErlXICGEEELYHJs+zbRz507UqVMHvXv3hqenJ2rWrImvv/463c8kJSUhISHB6g8ADAaD+j+1WK/XW8VGozHdODk5WY2dtIQCPhMTTlrTf0WNYRVrQDhp/okdzbHyT6x9Jtbr9enWI6vqlJycDJJWMckUMQCr2Gg0WsXm8qYVGwwGqZPUSeokdZI6SZ1SjTPKppOZv/76C8uXL0fZsmWxd+9ejBw5EuPGjcP333+f5mfmz58PNzc39c/HxwcAcO7cOQBAREQEIiIiAADh4eGIjIwEAJw+fRpRUVEAgLCwMERHRwMAjh49ipiYGABASEgI7t69CwAIDg5GXFwcAGBOLQOKuJimv7CuAfkdASetKXbSAvkdTTEAFHExjQ8AvvmA6TVMcTk3YmJVU1zNnRhdyRT7FyaGlDfN2CZFidOnTwMAIiMjER4enm11CgoKQmJiIgAgMDAQT548gV6vR2BgIPR6PZ48eYLAwEAAQGJiIoKCggAAcXFxCA4OBgDcvXsXISEhAICYmBgcPXoUABAdHY2wsDAAQFRUlNRJ6iR1kjpJnaROKep05MgRZJRCc8pmgxwdHVGnTh31hwOAcePG4cSJEwgNDU31M0lJSUhKSlJfJyQkwMfHB7GxsXB3d1czQa1WaxXr9XooiqLGGo0GGo0mzTg5ORlarRalpu+Gk5Z4ajC1wfwTmxKaJAOgAHDUAkkGBQqoxhoQDhogyWiKdRrgqVGBRiF0iinWKoTWIr74QTvodLo065EVdTLHOp0OiqKoMWDKlC1jBwcHkFRjo9EIg8GgxkajETqdLs3YYDCApNRJ6iR1kjpJnaROVnFsbCw8PDwQHx+P/PnzIz02ncz4+fmhdevWWLlypTps+fLl+PDDD3Hjxo0MfUdCQgLc3Nwy9GO8iBJTd2X5d6bnykcdc3R6QgghRG7IzP7bpk8zNWrUCBcvXrQadunSJfj5+eVSiYQQQghha2w6mZkwYQKOHTuGefPm4fLly1i7di2++uorjBkzJreLJoQQQggbYdPJjL+/P7Zt24Z169ahSpUq+OCDD7B48WK89tpruV00IYQQQtgIm77PDAB06tQJnTp1yu1iCCGEEMJG2XTLjBBCCCHE80gyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7psvtAoisU2Lqrhyd3pWPOqb5ni2VRQghxL+btMwIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrkswIIYQQwq5JMiOEEEIIuybJjBBCCCHsmiQzQgghhLBrdpXMzJ8/H4qiYPz48bldFCGEEELYCLtJZk6cOIGvvvoK1apVy+2iCCGEEMKG2EUy8+DBA7z22mv4+uuv4e7untvFEUIIIYQNsYtkZsyYMejYsSNatWr13HGTkpKQkJBg9QcABoNB/Z9arNfrrWKj0ZhunJycrMZOWkIBn4kJJ63pv6LGsIo1IJw0/8SO5lj5J9Y+E+v1+nTr4aAhtApTxI7PxBrL2Fx2yzgDdUpOTgYAkP/ERqNRjTNaJ4dUYp1C6FKpR1p1ysh8Sk5OBkmr2Fx2yzi9OhmNRnUepBUbDIbnzqesWvakTlInqZPU6d9cp4yy+WRm/fr1OHXqFObPn5+h8efPnw83Nzf1z8fHBwBw7tw5AEBERAQiIiIAAOHh4YiMjAQAnD59GlFRUQCAsLAwREdHAwCOHj2KmJgYAEBISAju3r0LAAgODkZcXBwAYE4tA4q4mKa/sK4B+R0BJ60pdtIC+R1NMQAUcTGNDwC++YDpNUxxOTdiYlVTXM2dGF3JFPsXJoaUN83YJkWJ06dPAwAiIyMRHh6eok49SxjRuphp/NfKGNGkqGkhHlLeCP/Cpnh0JQOquZviiVUNKOdmiqfXMMA3HzJcp8DAQABAYmIigoKCAABxcXEIDg7OVJ1eK2OKWxczomcJU9zJ14hOvsYM1ym9+dRiXiBKTN2FrTsD0WDOLpSYuguBgYGoMXsXKrxriiu8uws1ZpviElN3ocEc0/glpu5Ci3mBWLvNFHdYsAsrN5m+o8cnu7B0vSnut3gXPlljGicqKirN+fT2V6bxZ3yzC2OWm+IPvw/E0KWmz36yJhD9FpuGL11vmkaJqaZpdlhgitduC8x0ndKbT3fv3kVISAgAICYmBkePHgUAREdHIywsDADSrVNWr09BQUFITEwEYFrGnjx5Ar1ej8DAQOj1ejx58kTqJHWSOv0H6nTkyBFklEJzymaDoqOjUadOHQQFBaF69eoAgICAANSoUQOLFy9O9TNJSUlISkpSXyckJMDHxwexsbFwd3dXM0GtVmsV6/V6KIqixhqNBhqNJs04OTkZWq0WpabvhpOWeGowtVf8E5t2/kkGQAHgqAWSDAoUUI01IBw0QJLRFOs0wFOjAo1C6BRTrFUIrUV88YN20Ol0qdaj9Iw9cNAQRgIGKlaxo4YwWMR6AkZzbASMUOCkIZLNcQbqdOmDtnBwcABpajFycHCA0WiEwWBA2ZlBGa6TRgGSn4nNrTL6Z+qRVp0uf9g2zflUfubeDNcpK+bTn3PbgWSq86n8u7szXKecmE/m2Gg0QqfTpRkbDIY065SV65M51ul0UBRFjQHTUZplLHWSOkmd/t11io2NhYeHB+Lj45E/f36kR5fuu7nst99+w+3bt1G7dm11mMFgQEhICJYuXYqkpCRotVqrzzg5OcHJySnFd5nHsxzfMjbP1IzGDg4OapxkUNKITf9pFStqbISCJOM/8VNzTAVP/z/FNFCBwSI2lyGteiQblVTjpxmIk4xp1SP1Opl/A0VR1Ni8EGamTqnFeqZej7TqlN58MkLJcJ2yYj6lNW+0Wq1aL1uaTxmJ06tTavHLrE+ZiaVOUiep03+jTs9j08lMy5Yt8fvvv1sNGzx4MCpUqIApU6akSGSEEEII8d9j08mMq6srqlSpYjUsb9688PDwSDFcCCGEEP9NNt8BWAghhBAiPTbdMpOaAwcO5HYRhBBCCGFDpGVGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVdbhdACJF7SkzdlaPTu/JRxxydnhDiv0FaZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHZNkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2RGCCGEEHbNppOZ+fPnw9/fH66urvD09ES3bt1w8eLF3C6WEEIIIWyITSczBw8exJgxY3Ds2DHs27cPer0ebdq0wcOHD3O7aEIIIYSwEbrcLkB69uzZY/X622+/haenJ3777Tc0bdo0l0olhBBCCFti0y0zz4qPjwcAFCxYMM1xkpKSkJCQYPUHAAaDQf2fWqzX661io9GYbpycnKzGTlpCAZ+JCSet6b+ixrCKNSCcNP/EjuZY+SfWPhPr9fp06+GgIbQKU8SOz8Qay9hcdss4A3VKTk4GAJD/xEajUY0zWieHVGKdQuhSqUdadUpvPmWmTlkxnwwGQ5rzKTN1+q/NJ8uYpFVsLrtlnF6djEajOg/SitObT1m9jZA6SZ2kTi9Wp4yym2SGJCZOnIjGjRujSpUqaY43f/58uLm5qX8+Pj4AgHPnzgEAIiIiEBERAQAIDw9HZGQkAOD06dOIiooCAISFhSE6OhoAcPToUcTExAAAQkJCcPfuXQBAcHAw4uLiAABzahlQxMU0/YV1DcjvCDhpTbGTFsjvaIoBoIiLaXwA8M0HTK9hisu5EROrmuJq7sToSqbYvzAxpLxpxjYpSpw+fRoAEBkZifDw8BR16lnCiNbFTOO/VsaIJkVNC/GQ8kb4FzbFoysZUM3dFE+sakA5N1M8vYYBvvmQ4ToFBgYCABITExEUFAQAiIuLQ3BwcKbq9FoZU9y6mBE9S5jiTr5GdPI1ZrhO6c2nzNQpK+ZTVFRUmvMpM3X6r82nFvMCUWLqLmzdGYgGc3ahxNRdCAwMRI3Zu1DhXVNc4d1dqDHbFJeYugsN5pjGLzF1F1rMC8Tabaa4w4JdWLnJ9B09PtmFpetNcb/Fu/DJGtM46c2nt78yjT/jm10Ys9wUf/h9IIYuNX32kzWB6LfYNHzpetM0Skw1TbPDAlO8dltghuv05MmTNOdTZuo0dGkgPvzeFI9Zbip/iam78PZXuzJVp4xs94KCgpCYmAjAtIw9efIEer0egYGB0Ov16dbJvOzdvXsXISEhAICYmBgcPXoUABAdHY2wsLDnrk9ZvS2XOtlWnY4cOYKMUmhO2WzcmDFjsGvXLhw+fBjFixdPc7ykpCQkJSWprxMSEuDj44PY2Fi4u7urmaBWq7WK9Xo9FEVRY41GA41Gk2acnJwMrVaLUtN3w0lLPDWYjoP/iU07lSQDoABw1AJJBgUKqMYaEA4aIMloinUa4KlRgUYhdIop1iqE1iK++EE76HS6VOtResYeOGgIIwEDFavYUUMYLGI9AaM5NgJGKHDSEMnmOAN1uvRBWzg4OIA0tRg5ODjAaDTCYDCg7MygDNdJowDJz8Tmo339M/VIq06XP2yb5nwqP3NvhuuUFfPpz7ntQDLV+VT+3d0ZrpPMp//OfIqa31GdN8/Op4rvBmZqG5Hd80mr1aqxTqeDoihqDJiOpi3jtJY9c2w0GqHT6dKMDQZDmvMpK7flUifbq1NsbCw8PDwQHx+P/Pnzp7nfB2y8z4zZm2++iZ07dyIkJCTdRAYAnJyc4OTklGK4Vqu1+v9sbJ6pGY0dHBzUOMmgpBGb/tMqVtTYCAVJxn/ip+aYCp7+f4ppoAKDRWwuQ1r1SDYqqcZPMxAnGdOqR+p1Mv8GiqKosXkhzEydUov1TL0eadUpvflkhJLhOmXFfEpr3mi1WrVeMp9kPlnWyXLePDufzN9jK/PpReK0lr2MxOnNp9Til9mWS51st07PY9PJDEm8+eab2LZtGw4cOICSJUvmdpGEEEIIYWNsOpkZM2YM1q5dix07dsDV1RW3bt0CALi5ucHFxSWXSyeEEEIIW2DTHYCXL1+O+Ph4BAQEwMvLS/3bsGFDbhdNCCGEEDbCpltm7KRvshBCCCFykU23zAghhBBCPI8kM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa5LMCCGEEMKuSTIjhBBCCLsmyYwQQggh7JokM0IIIYSwa7rcLoAQQgj7UWLqrhyd3pWPOqb5npQldbZUlpwiLTNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7JsmMEEIIIeyaJDNCCCGEsGuSzAghhBDCrkkyI4QQQgi7ZhfJzLJly1CyZEk4Ozujdu3aOHToUG4XSQghhBA2wuaTmQ0bNmD8+PGYMWMGTp8+jSZNmqB9+/a4du1abhdNCCGEEDbA5pOZRYsWYejQoXjjjTdQsWJFLF68GD4+Pli+fHluF00IIYQQNsCmk5mnT5/it99+Q5s2bayGt2nTBkePHs2lUgkhhBDCluhyuwDpuXv3LgwGA4oUKWI1vEiRIrh161aqn0lKSkJSUpL6Oj4+HgBw//59AIDBYAAAaLVaq1iv10NRFDXWaDTQaDRpxsnJydBqtTAmPYKjlkg2AIRiEQOOWuCpAVAAOGiBpwYFCqjGGhA6DfDUaIq1GiDZqECjEFrFFGsVQmMRx8bGQqfTpVoPY9IjOGgIIwEDlXRjAwGjOTYCRihw1BB6c5yBOt27dw8ODg4gCb1eDwcHBxiNRhgMBhiTHmW4TqnFOoUAAP1z6mGOY2Nj05xPSHqY4TplxXy6f/8+SKY6nzRPH2a4TjKf/jvzKT4+Xp03z84nXfLDTG0jZD79N+ZTQkJCmvsnXfLDTG0jXnY+JSQkwGAwpDmfXnSfGxsbCwAgmXaiYEYbduPGDQLg0aNHrYZ/+OGHLF++fKqfmT17NmGaV/Inf/Inf/Inf/Jn53/R0dHPzRdsumWmUKFC0Gq1KVphbt++naK1xmzatGmYOHGi+tpoNCI2NhYeHh5QFCVby5tRCQkJ8PHxQXR0NPLnzy9lkbLYVXmkLFIWey6PlMX2y2JGEomJifD29n7uuDadzDg6OqJ27drYt28funfvrg7ft28funbtmupnnJyc4OTkZDWsQIEC2VnMF5Y/f36bWWikLKmzpbIAtlUeKUvqpCxps6XySFlSZ0tlAQA3N7cMjWfTyQwATJw4EQMGDECdOnXQoEEDfPXVV7h27RpGjhyZ20UTQgghhA2w+WTmlVdewb179zBnzhzExMSgSpUqCAwMhJ+fX24XTQghhBA2wOaTGQAYPXo0Ro8endvFyDJOTk6YPXt2itNhUhYpS1psqTxSFilLZtlSeaQstl+WF6GQGbnmSQghhBDCNtn0TfOEEEIIIZ5HkhkhhBBC2DVJZoQQQghh1ySZEUIIIYRdk2TGThmNRjVOTk4GADx69Ci3ipPjpN+6EEIIM0lm7JRGo8Gff/6JP/74Aw4ODtiyZQtmz56NBw8e5HbRsoU5eTM/RNRWHk0h/hvMy59er8/lkoj0/NcPcsz1//vvv3P9t1i9ejVCQkJybHqSzNippKQkzJo1C3Xr1sWnn36K3r17o0aNGsiXL19uFy3LGY1GNXmbPn061qxZk9tFAmA/G057Kaetslz+3n77bZw8eTJbp5db88s83fj4+FyZflYwH+R89tln+OabbwD8t5Z/RVFw5MgRdOvWLVcT76+//hpDhgxBYmJijk1Tkhk75eTkhHnz5qFcuXKYPHky5s6di9deey1HF2DLU13ZOQ2NRoPff/8dLVq0wP3797N9mmmVAwASExORkJAAwDZbh8wb7oSEBMTFxQHI/XLmxHKSXSyXv9atWyM6OhphYWHZMq2oqCjo9XooipIrO2BFUXDixAkMHDgQhw4dyvHpZwWS0Ov1WLFiBe7evQvg5Zd/87y4f/8+7t2799JlzG5OTk64cuUK7t+/D4PBkOPT/+qrrzBq1Chs27YNHTt2tHovO7cFkszYMVdXV2i1WpQrVw7Lli3DuXPnoNPpsnwBNq/Mv//+O4KCgrBt2zYAplNd2U2j0eDSpUto2bIl+vXrh8WLF+O1117L9ukCwM6dO9UjC41Gg+3bt6N169Zo1qwZxowZoyY1tkRRFOzYsQMtWrRAs2bNMGTIkFxLAIF/kgEAWLVqFcaMGYOJEyfi+++/z7UyZYZ5+WvdujX69OmDH3/8MVvuRh4REYFXX30Vc+fOzdWE5ubNm7hx4wY+//xzHD16NMen/yLMO0iSUBQFOp0OjRs3xvXr19XhL0NRFGzbtg2dOnVCnTp1MGXKFJw9e/aly51Vnq1f/vz58eDBA9y+fRtarTZHy/L1119j3Lhx2Lhxo9XDoCdOnIjo6Ojs3WdQ2LU7d+7wwoUL7NSpE4sVK8bw8HCSpF6vJ0nev3//pb7faDSSJLdu3Uo/Pz9WqFCBJUqUYL169Xjt2rWX+u6M0Ov1fPvttzlo0CAajUa1PHfu3OHvv//ODRs28M6dO+rwrBIdHU1FUfjqq68yKSmJR48eZYECBThp0iS+//779PT0ZOvWrRkVFZWl031Zx44do7u7O6dOncr58+ezePHibNKkCSMjI3O1XJMmTWLhwoX5yiuvsF27dtTpdBw2bJj6flbPv6yi1+s5evRo9u/fX12nSDIuLo6XL1/mkSNHeP369ZeeTnx8PAcPHszGjRtz/vz5TE5OJpk7v8tPP/3EZs2asXv37jxy5EiOT/9FHT58mAkJCTQYDJwxYwbr1q3LpKSkFONl9jc9ceIECxUqxHfffZdz5syhr68ve/bsyQMHDmRV0V/a4cOH+dlnn/HUqVM8fvw4W7ZsyZ9//jlHy3Dq1CkqisIFCxZYDe/VqxfLli3LmzdvZuv0JZmxI+aV8OTJk9y2bRt37dqlvhceHs7OnTuzePHiPHfuHEly4cKFnDJlSqordGb88ssvLFCgAFeuXEmDwcDQ0FAqisL69evz4sWLL/XdGdGpUyf269dPfb19+3a+/vrrdHV1Zb58+Vi2bFl1o5uVG/+DBw/Sw8ODQ4YM4ebNmzl37lz1vaioKBYvXpwtW7bklStXsmyaL+OPP/7g1q1b+cEHH6jDbt68yVKlSrFRo0a8fPlyrpTr4MGD9PLyYkhICEkyOTmZu3fvZv78+Tlu3LhcKVNGPX36lE2bNuXUqVPVYT/99BMHDRpEV1dXarVaBgQEcO/evZn63tSW0/j4eI4ePZr169fnvHnz1OQpuxOa8+fP848//rAatmPHDjZv3pxdu3ZlWFhYtk4/K2zatIkFChRgsWLF6OPjwzZt2rB06dJcsmQJw8PDefXq1Rf63j///JMff/yx1Tp17Ngx1qpViz169Mj1hEav1/PBgwds1qwZK1WqRF9fX3p4eFBRFNapU4dTp07l1q1beeTIEf71119qkpwdrly5wh49etDT01Ndnnr06MEqVaqo28jsXJYlmbEzW7dupYuLCytVqkRFUThw4EDGxsaSNCU03bp1o06nY/fu3anRaHj69OmXmt6TJ084btw4dWW+du0a/fz8OHDgQNaoUYM1atTItoTGYDAwOTmZU6dOZatWrbh8+XJOmzaNxYsX59ChQ7l+/XrGxcWxTp06bNmyZbaUISQkhPnz56eTkxPfeecdq/eioqJYrFgxtmnThn/++We2TD+j4uPjWaBAASqKwrfeesvqPXNC06xZsxxJPg0Gg9Xrn376iaVKleLDhw+thq9fv57u7u48evRotpcpM57d4I4dO5YVK1ZkUFAQp02bRl9fXw4cOJCbN2/mb7/9xmrVqnH06NGZns6xY8e4atUqq2Hx8fEcM2YMa9SowU8++STbEhrz992+fZtVqlThgAEDGBERYTXOtm3b6OHhwW7duqmJqK149ve4desWY2NjefDgQX777bccP348FUWhv78/3dzcWKhQIVaqVMnqgOR53//333+zWLFizJs3L8ePH2/1fmhoKGvWrMnevXtz3759WVavzDK3vD948IAkefnyZZ44cYI1a9ZkwYIFOWzYMJYuXZpubm709/fnnTt3srwM5v0PScbExLBHjx50d3dns2bNWKtWLXXbaDnPgoOD+fTp0ywthyQzdsC8ENy/f59Nmzbl6tWreePGDR44cIAFChRgt27d1IU0JiaGn3zyCceOHZviaCuz0zPvZPbu3cvw8HDGxsbS39+fw4cPJ0nu2rWLiqKwQoUKWXLU/+xO0OzkyZPs0qWLeopr/fr1Vk37H3zwARs0aMAnT568dBnIf+pvbtE6cuQIvby82LJlS3XFNY9z5coVuri4sGvXrtl61JMRYWFhLFu2LBs3bqwuD+ZyxsTEsECBAmzXrl2Wb0TSMnv2bK5fv55nzpxhnjx5+Msvv1i9f/HiRRYtWpS7d+/OkfI8T1rL3/Hjx9mhQwd6eXmxePHiXLNmjdWR/qhRo9igQYM0W0DN88DyNKnRaGTPnj1Zs2ZNfvfdd1bjP378mE2aNGGpUqU4a9asLFmuzHV7/PixOuzo0aN89OgRV65cybp163L48OEpthmtW7emp6cnBw4cyEePHr10ObLaggULuHXrVvW1+fe9fPkyPT09GRoaykuXLvHgwYP8/PPPM/1b7tq1iz4+PmzWrBnPnDlj9d6xY8dYokQJDhgwIFd+mzNnzrBEiRI8ePCgOsxc/y+++IKNGjUiSd69e5d37tzJlm4B27dvZ6dOnfjTTz+pw2JiYjhkyBAqiqKe6rL83Zs2bcqaNWtmeYIuyYyNioyMtDpHv3fvXg4dOpT9+vXjrVu31OGnT59WE5q///5bHW752RcRFBRERVEYGBioDtu9ezfr1avHS5cukST37dvHLl26sGXLli+dzJg3ttHR0dy8eTNnzJjBuXPnqi1LT58+5f3795mQkJDis4MGDeKgQYOyZCdtXsEOHDjAuXPnqs2jR44coZubG/v166eWwTzutWvX1N8kp6S1IThx4gQ9PDzYs2dPxsXFWY1769atbO07Y5kMrF+/nsWLF+ehQ4d469Ytdu7cmT179mRoaKg6zp07d1i5cmWrDWFuMZf9xo0b3LJlCz/44AN+9tlnPHPmjPr7Xbx40eoo1Py5AQMGcOzYsemuc7dv31aT7Z9++ok7d+7k33//zV69erFp06b89ttvrcafPXs2fX192bVr1yw7mo6OjmaVKlV47do1bty4kY6OjmqLy9dff81atWpxxIgRagtNcnIyR40axQULFmRJv6Csptfr2b9/f+p0Ou7Zs4fkPwmjXq9n/fr1uXbt2lQ/l5q01qmff/6ZPj4+fOONN9RT+GZhYWH866+/XrImLyYsLIydOnVi+fLl1QNPc9KwevVqent7Z+uBy8qVK1m4cGFOmzYtxTp87do19u7dmwUKFODJkydJmn739u3bs2LFitlSLklmbNDSpUtZoUIFtemQNGXAiqKwQIEC6g7JvAE+ffo0CxcuzJYtWzImJobkyzVLR0VFcdasWfz8889TlMvDw0Pdmc+YMYOjRo166SNHcz3Onj3LkiVLsnnz5vTz82OxYsWoKAqHDx+udmy23GE+ePCA06dPZ+HChVM0kb+MLVu2MF++fJw1a5a6IpLkoUOH1IQmMTGRZO500DRP8/jx4/z222+5YMECqx3e8ePHWbBgwVQTmpxw4MABjh492mr52blzJwMCAhgQEMClS5fyp59+YuvWrVmrVq2XTrxfluXyV65cOTZo0IBlypShq6srvby8OGzYMLVFw7KsSUlJnDFjBr28vNJd/hISElikSBFOnjyZa9asoaIoXL9+PUlT8tS9e3c2bdrU6pTT5MmTuWzZMqsDlJf14MEDtmrVil5eXtRoNClahL7++mv6+/uzW7du/Pzzzzlp0iSWLl2at2/fzrIyvIzUWs4eP37MMWPG0NnZ2erAiyTbtGnDoUOHZui7Ldep1atX89NPP2VUVJS6bdu+fTt9fHw4dOhQnj9//iVr8mJSW4dPnjzJPn36sHTp0lana//66y/6+vpm20HW1q1b6e7uzo0bN6Y5zp07d9itWzcWLFiQp06dYs+ePVmuXDk1kcnqlmxJZmyUeSG8d++eOtODgoLo4uLCESNGqBtXy07BJUuWZHR09EtNNzw8nM2bN2fZsmXVjYN5A37v3j2WLFmSPj4+bNq0KV1dXVM0vb6oS5cusVChQpw+fTrv3r1LvV7P+Ph4zpgxgw4ODnz11Vet+qV8++23HDhwIH18fHjq1KksKQNp2qF5eXlxxYoVVsPNv/Phw4fp4eHBzp07WyWbOcVcji1bttDT05MNGjRg1apV6e3tzcDAQLW5+/jx4yxSpAhbt27N+Pj4HCvfb7/9xlKlStHV1ZUff/yx1Xt79+7l6NGj6erqSn9/f6tTXrmd0Fy8eJEFCxbklClTeOvWLT5+/JjXr1/n66+/Tk9PT/bq1cvqNNI333zDgQMH0svLK0PL3759++js7EwnJyd+/fXXJP+p840bN9i7d2/Wq1ePLVu25KBBg5gvX75sOeLfvHkzFUVhoUKF1P5TlknCpk2b2KdPH/r5+bFOnTpZum5llWdPoT5+/JgjR46ki4uL1SnLIUOGWF0xlxbLdcrd3Z2tWrWit7c3mzVrxq+++kqd79u3b2epUqX4yiuvZOnBU2YcO3YsxanAEydO8JVXXmHp0qV5/PhxkqbluUSJEtnSopacnMxBgwZZdYonTaf2Nm3axOXLl/PEiRMkTf1pevfuTUVRWLZs2WxLZEhJZmxGaue0Q0ND6eXlxb1796ozf+fOnXRycuKYMWPUZmvzypgVfUbCw8PZo0cP5smTh++//7463Dz9q1evcuLEiZw5c+YL98mxZG4SnjBhAgcMGEAy5Y7tww8/pEajUY/0IyMjOXLkSL755ptZ3qF1/fr1rFmzptUl7c8eEf7666/09fXljRs3snTaGXXw4EEWLlyY33zzDUnTKQxFUejr68vNmzery9CRI0dYqlSpl05wM2v16tUsXbo0GzVqpLaoWbpz5w7v3r2rLre53ddIr9dzxIgR7N+/f4r3EhISOHHiRBYqVIiLFi0iaWoJnTRpEocOHcoLFy5k6PsvXrxIRVGo0Wg4Y8YMdQdpXrZu377Nzz77jN26dWPv3r1T/d2ywpUrV/jDDz+wc+fOLFasmNUpAMvymjvU2ppNmzZRURT+/vvvJP/Z9j18+JCvv/463dzcGBwcTJL8/fffM7xsHTx4kEWKFOHKlStJmpIBnU7H2rVr8/PPP1fn14YNG1ilSpVsv8w4NXfu3GGbNm1YtWrVFMvd0aNHWbVqVVaoUIGHDx8myVRPyWeFxMREVqpUiVOmTFGHLViwgG3atKGrqytdXV1ZtWpVbt++naRpn7Fo0SJ1XmTX+i7JjA0wr5CXLl3iJ598YtVRy9/fnyVKlOCvv/6aIqF56623rJKfrBIREcHXXnuNlStXVneYpPUGL6tPWzRs2JBjx461GmaZRPTs2ZMlS5ZUW0Pi4+OzpNOduR6nT5/m/fv3+dVXX7Fs2bIpOvqSptMn5j40OdXh77PPPuOWLVvU10+ePOGiRYv47rvvkjSdEvTz8+O4cePYu3dvFipUiNu2bVOvHMqO5cMsrQ6zJLlq1SpWr149RafSZxPV9L4jpzx9+pR169blnDlzSP4zz81le/ToEevUqcOAgAD1M7GxsSmuznqe33//nbt27aJOp+M777yTIqExy8p5ZnnxgOXposePH7NNmzYsVqyY1RWPGzZssMn+MWbXrl1jhw4dWKRIETWhMf9+e/fupaIoVBRF3aGTz2/1S05O5ieffKJeBfjnn3+yVKlSHDBgALt06UJfX18uX75cPVg0n2LODdu2bWPHjh3ZoEGDFK1DvXv3pqurK2vWrMlHjx5l+TY6JiZGXWanT5/O4sWLc+7cuWzWrBnLlCnDmTNnMjIykg8fPmTt2rVTPTjIzgMXSWZsxJ07d+jq6kpFUfjRRx9Z3YytefPmLFasmFVC89NPP1FRFE6aNOmFp2le2M+ePcsdO3Zw48aNahPuhQsX2L9/fzZs2NCqc2JWnw4wGo2Mj49nrVq1OHnyZJK0as4313fVqlUsUqRIttykbufOnVQUhWFhYfzll1+oKAq///77FOO9+eabXLx4MfV6fY70QYmOjubrr7+e4rx3aGgow8PDmZiYyCZNmvCNN94gaUpsnJ2dmTdvXu7cuTNby2a5A96wYQPff/99Llq0iMeOHVOHr1ixIkWnUltkPtI0r0uWdTM3i69evZqenp68cuVKhua9eZyoqCiGhoby8ePH6rqzfv166nQ6q3tALVmyRF3PsnrZ2rZtG5s0acIyZcpw1qxZaqvPkydP2KZNG3p7e3Pt2rWcMGECCxQokGv3I3qW5Xyw3O7cunWLnTp1ooeHh5rQkKbTLePHj+eSJUueu9O0/I0NBgMvXLjAP/74gw8fPmSTJk04ZMgQkqbbGri7u7NChQpcvnx5is9mJ/N0Hjx4oPZ9I8nAwEC2adOGDRs2tOrQ/9Zbb/Hrr7/O0n5WZgcOHGCJEiW4Y8cOGo1GXrhwgW+++SZr167N9u3b8/fff7dqCRo1ahS7deuWo6ePJZmxIS1atGCePHno6enJWbNmWV3+GRAQkCKh2b1790vvJDZt2kRPT0+WLVtWveGSeUf4xx9/sH///mzatKm6ImeXwYMHs2DBgmoHZvOGzLxCr169mhUrVszypu+4uDh++umn/N///qcOmzx5Mp2cnLhq1SpGR0fz5s2bnDJlCj08PHL8qiVzC1BoaCjXrVtn9d6pU6dYo0YN9aZmv//+OwcPHszXX389W5MHy4355MmTWaRIEXbv3p3Vq1dn8+bN1aZ60pTQ1KlTh3369LGZmwuaWdajffv2rFGjhppcPLvD+t///scqVapk6iqMzZs3s1ixYixSpAgrVqzIH374Qe2/tGHDBjo4OLB79+4cMGAA8+TJky2nlsydwadPn87p06ezWLFifOWVV9SWC6PRyO7du7Ns2bKsXLkyf/vttywvw4uw/P1XrlzJt956iwsWLFC3iXfu3GGnTp1YsGBBbt68mceOHWPXrl05aNAg9XPPS2j27t2r3i7APF+PHz/OKlWq8OzZsyRNLbZt2rThoEGDXvjGey/CXP8dO3awcePGrFOnDt9++221Tnv27GHbtm1ZsmRJzp8/n8OGDaOvr2+23pW9YcOGrFy5slW/pNT6DSYmJrJFixZq63FOkWTGBpgX0C1btnD8+PF8//33mTdvXs6YMSNFQlOiRAnu2bMnS5rrTp06RXd3d3777be8desWb926xTfeeIN58+ZVO/+Gh4eza9eubNu2rdXRwcuyvE8LaUrMihUrxvbt26faF2XUqFHs3r17lp7eOXv2LB0dHVmxYkVu3rxZHf7gwQO+//77dHR0pK+vL6tUqUI/P79c6Qxpbrnq1asXa9asaXX1wI4dO5gvXz4eO3aMDx8+5KxZs9izZ89sPRqy3Ml88cUXLFGihJpMffXVV3RwcGCtWrX4xRdfqOP973//4+DBg23ilNKzNm7cyE8//ZS//vorXVxcOHjwYKv3zb/lqFGj2LdvXz5+/DjdI3PzexcuXGDVqlW5ePFinjp1in369FFfm9ejX375hS1atGDPnj2zrCO9pb/++osLFizgvHnz1GEHDhxg9erV2adPHx46dEgdntpl57nF8vedPXs28+bNyx49etDZ2Znt2rVTL8NOSEjgkCFD6OjoyFKlSrF27doZTjaTkpI4ePBgKoqi9rEhTf3hSpcuzS1btvDp06ecPXs2Bw4cmGOnlizrfvjwYbq5uXHChAmcOnUqCxQowE6dOqktLydPnuTIkSNZoUIFBgQEvPQNUtNiua9p2bIly5cvz127dqmn3czrdVJSEm/cuMH27duzdu3aOd4XTpKZXPBsq4PZ+fPn6evrywMHDnDr1q3MmzcvZ86caZXQ1KxZk5UqVcr0+fqgoCC11cNs27ZtrFWrFu/fv29VlsGDB7No0aLqxi0iIiJbOruGhobS399f/T3effddent709/fn8eOHeONGzcYGRnJadOm0dXV9YWPXJ/diZpfx8TEcOjQoVQUhV9++WWKcX/77Tfu3LmTP//8c670I7CcJ0ePHmXfvn3ZpEkTbtiwQR0eEBBAJycnVqtWjQUKFMi2hKtLly5Wv8Hjx4/5zjvv8JNPPiFpWpYKFCjA2bNns1OnTixTpox61Y5lXWwpoQkPD6eXlxe/+eYb3r59m7NmzaJGo+Err7zCEydO8OHDh7xy5QpnzpzJ/PnzW53SSM/JkyfVG1daGj58uJrQmNetBw8eZHm/JoPBwJs3b9Lb25v58+dPcSp6//79rFatGvv165fiRoa5zXL5OHfuHHv16qVecvzXX3+xQYMGbNOmjdVl2CdOnODZs2fVz6a3E7Vcp65fv87hw4dTp9OpCc3ff/+t9gGpUKGCellxdnt2XxAZGckNGzZw/vz56rDz58+zcOHC7NChg9W9xu7cuZNtV1aaf1PLA6QWLVqwYsWK3LVrlzo8Pj6eM2fOZEBAABs2bJgrVylKMpPDLG/A9cknn1gdFZCmo9imTZuSJJcvX05XV1fOnDnTqvkwM831RqORly5doqIoHDNmjFUnwJUrVzJv3rzqym/OtCMjI1m8eHEGBQW9WCUz6OTJk3Rzc7PqB/O///2P1apVo6IodHd3Z82aNVm1atWXPuqIiIjg1KlT+eeff1pt7G7evMmBAwfSxcVFPVLNzcuEnz59anWu3HIjFxYWxt69e7Nx48Zcs2aNOnzJkiX8+uuvs+0U2K1btzh8+PAUd7i9evUqr1+/zkuXLrFcuXLq1T579+5l/vz5WapUKfV+KqRtPUzywoULnD17ttVt6m/dusXFixfT09OTLi4uzJcvH+vWrcuKFStmaIdm3vC3bt2aiqJYbdTNhg8fzlq1anH+/PlZfsn8s7/vhg0b6OXlxVatWqW4N8qBAwfo4+PDwYMH28Sdfb///nurA7QvvviCTZo0YbNmzay2WRcuXGCDBg3Ytm3bVG+2+Lx199n7Q924cYNDhgyhTqdTH0tw48YNrly5ksuWLcuRB7TOnDmTv/76q/r6zp07dHR0VK98s3T+/HkWKlSIXbt2zdbTXtu3b1eTyNSSRHMLjfkA88yZM/zkk0+4YMECdR5Iy8x/wJ07d+js7KxeTtu/f3/u2bOHiYmJvHr1Kps3b65uPJcsWcKCBQty4sSJL3WJ7datW+ng4MA333xTbaG5e/cuK1euzGHDhlld1h0VFcXSpUtnyUPUnr2Fu6UrV67Qw8MjxV01b9++ze3bt/Obb77hwYMHrY5CXkRSUhL9/f2pKArLlCnD8ePHW/U/efDgAV999VXmyZNH7UuQ0y0Ilg8NJU2dkps2bcqAgAB2795dTVROnz6tJjTP9qHJCZ9++qlaFvPGas2aNaxVqxbv3btH0nTH1C5dunDRokU21RJDmubr7du3Wa9ePRYoUICvvfaa1ftGo5H37t3jjz/+yCVLlnD//v3PvQzXvFybTx8lJyezb9++9Pb25vfff5+i5aVv375s3LhxtpzWOXbsGOfOnavOm02bNrFYsWIcPXp0in5Uhw4dyvVnipGmA5i+fftaLSsHDhxgyZIl6e7unuKg6uLFi2zSpAlr166dqed6/fbbb/T09FS3rZYJTb9+/ejg4GB16i2ndOvWLUWr3549e1i0aFF26tRJTXrN5f3jjz+oKApfffXVbDnwio+PZ7du3ZgnTx71vjWptdBUrVqVbdu2VV9b7kNy44BQkplcMnz4cBYrVozTpk1jmzZt1D4RISEh9Pf3Z8eOHdVxFy1aRB8fnxe6E6f5YY2kqY+FoiicNm0ab968SYPBwMWLF7NBgwYcMmQI4+Pjef36dc6aNSvLbrj0bJlDQkI4d+5choaG8sSJE2zYsCF/+OGHl57O8yxcuJCLFi3ivn37OHv2bLq5ufHVV1/lF198QYPBwPv373PYsGF0dXXl/v37s708lk6cOKEeJZOmoxyNRsO3336bkydPZpMmTVigQAH1SDQsLIx9+/Zl1apVrZ5Lk93i4+NZp04dFi5c2OqGbuvWrWO5cuW4bds2JiYmsnPnzpw2bZq68c3tG+KRKRPpXbt20d/fn6VKlbJ6UOCLHk0eP36cPXv2tHoyeIcOHVijRg1u2LAhRatWdtynRK/Xq6eyLI+Q161bx+LFi3PUqFEZui9OTjMajervfvjwYTXJO3nyJMuUKcPu3buneHL3+fPnOWLEiOcmy5bz/dq1a2zRogV9fX3VDr7mzx88eFC9rDunnoT97DL566+/cu/evWpr3t69e+ni4sLhw4errWeWfbKy86GxZ8+eZb9+/Vi4cGH1CkXzb2UuX2BgIIsVK2YzV79JMpPDLDfsgwcPpr+/P7/44guePXuW77//vnr3XVdXV6sdhuVN3DLDvPD/9NNPXLlyJUuUKEGNRsO33npLPV+/ZMkSVq1alQ4ODqxSpQqLFSuWJVc1fPXVV6xQoQKTkpL49OlTJiQksHPnzqxQoQLLlSvHvHnzMk+ePKxevTpHjx7NTZs2MSQkJMN9EzJj//79dHNzU+9MefPmTb733nt0dHRk/fr1uWzZMoaEhHDAgAEsVqxYtt6f5Vnx8fFcvHgxa9asyaFDh3L58uXqU8rNBg0axAIFCqjLxNGjRzl48OBsvUIotdNCf/31F9u2bUtvb2/1qP7cuXNs164dixcvTl9fX1arVk3d4NnSqaXQ0FCOGDFCXQeDgoJYt25d9urVy+qp0C/SmrRx40bWqlWLr776qtVzcsxXSW3atCnLHoSantjYWI4ZM4YNGjTgvHnzrBIa80MRc/qKvPRY/tZ79uxh6dKl+cEHH6jbuyNHjrB06dLs3bt3ioQmte9IzZEjR9ixY0caDAZGRESwW7du9PLysup0fenSJb766qt8++23s+RmoJlhXkdat27NPHnycN++fer6s3v37jQTmqx26NAhbtu2TX39xx9/8JVXXrFKaCyT/Y0bN7J+/fo203FckplcYJnQDBo0iOXLl1c7S167do07duxQ+xqk1Vk4M/bs2UMHBwd+9tlnXLVqFT/44AMqisLRo0czMTGRRqORjx494ubNm3ngwIGXvmOsucznzp1TjwTNHdTMK+Tt27d5/PhxNmvWjCVKlODQoUNZo0YN5suXj7Vq1XrpU0upeeedd/jaa6+picorr7zCChUqcNCgQWzRogW1Wi0nTZqUo3fMNc/XxMRELlmyhPXq1WPhwoU5e/ZskrTqc9GgQQOr0yLZuXO03EEkJCRYJdNXr15ly5Yt6eXlpR6VnT9/noGBgfzhhx9y7Zx5egwGA+fNm8cKFSpYPRTy559/Zv369dmrV6+XPsWwZcsWNmnShL1797ZKaDp37kw/Pz+rHUVWerZzflxcHEeOHMmGDRty/vz5al2/++47Vq5cOcWFALbCYDBw1KhRrFevHufOnWuV0JQpU4avvPIKjxw5kunvXbt2LcuXL6/2Gzp9+jS7d+/OIkWK8MiRI/z77785a9YsdurUKVdviEeSHTt2ZNGiRRkUFGSV0OTPn5/9+vXLtoOs7777juXKlWO7du2sLrSwTGgsT+k9fvyYXbp0Yf/+/W3mgEWSmVximdAMHTqUJUuW5FdffZUtz9EZOHAge/bsaTXMfFvwt956K1uuVLI8RXX06FF6e3urfWMsd5TLli1j1apVSZp26DExMdn2mIBNmzaxQYMG1Ov1HDp0KIsUKaKW6dKlS1y2bFmuPETO/HvEx8fzs88+o6+vL5s0aaK+b96ojRgxgl26dMnRsr333nts1KgRK1asyM8//1wt67Vr19iyZUsWLVo01WZmWzi19KyEhAQuXLiQderU4ahRo6wSmsaNG7Nt27aZ6oPxxx9/pGjl2LRpE5s1a8ZevXqpLQlPnz5l7969s6V/yqlTp9i4cWOrK8dI03PUBgwYQD8/P6tbyWfXLe5fxLOPUCBNyf3YsWNZp06dFAlNvnz5XujeJXFxcaxQoQKHDx+uDjt37hz79+9PRVFYsWJFurm5Zcvl8ZaebUGyrL9l4t+2bdsUCc2OHTvo5eWVLYno999/z7x58/LHH39Mddt77tw5vvrqq9RoNHz//fc5Z84cdu7cmdWqVVPLbQt94ySZyWGWWeyzCY35ctasup+LeVrdu3dn37591WmaF8Dp06fTycmJY8eOzdK7Rj558oT169enn58fjUYjr169ykaNGrFUqVJqS425D8HGjRvp6+ubrY+qt9S0aVNqNBp6e3tn+8breSyXBfM8efDgAZcvX04/P78UtwPv168fO3fuzKSkpGw7GrLcKC1evJheXl6cP38+33rrLWq1Wr711lvqDtGc0Hh7e6tXpNlSawzJFAlEYmIi58+fT39/f44ZM0at79atW9m6desM9xO7du0aq1WrxiFDhqS44mXdunUsWLAge/fune0dSqOjo9m6dWu2aNGCq1evtnrv9u3bLFq0KEuVKqU+9NMWjqItE0bLbaB5XhgMBjWhmTdvnprQhIeHPzdJTqt+O3fupJ+fX4r+cPv27eNPP/2UYzd0vHr1KufNm5fqrQpSS2gsTzllx+XXFy9eZPny5VMsOyStWqifPHnCefPmsXr16uzYsSPfeuutbH/WUmZJMpPNzAut+TEBz7JcOUeMGEEPDw+uXr06Szc6ixYtYr58+dSdt3man332mXovhaw8rWM0Gnno0CFWqVKF/v7+JE0b/9atW9PHx8eqE+Lt27fp5eWV5vnwrCwTaer4ae6sajk8p5mnu2/fPo4fP56tWrXiihUr+Oeff9JgMHDp0qX08/Nj/fr1OW7cOE6cOJFOTk5qx8XsdubMGS5YsMDq8tft27dTp9Nx3LhxanP81atX2apVK/r4+NjMuXOziIgI1qlTh7NmzbIaHhcXx3fffZdeXl6cPHmyuj5kZGdhubx8/PHH9Pf35+jRo1MkNM2bN6enpyeHDBmSZc/Jsbwy0NK1a9fYtWtXNmnSxGqn9Ndff7Fbt24cM2ZMtt4ZNjOio6NZuHBhdu7cWR2WVgvNuHHjWLduXU6dOtXq9M/zEprdu3fzzTffZGhoqDosKiqKjRs3Vm8gmBsth0ajke+99x7LlSvH2bNnPzeh6dSpE7VabYrbd2SlQ4cOsWLFilYtPuvXr+fAgQPp7OzM+vXrWz0e4tkzB7bUAivJTA44cOAAW7ZsmeYGzXKBGDdu3Avd28ByQ3f58mUeO3aMR48eZVJSEh8/fszOnTuzRo0aVq0RkyZN4po1a176PHFqTYwGg4GhoaEsV66cmtBcvXo1RUJz8eJFlitXLsduSnfr1i2WKVMmx2+1nZpt27bR1dWVI0eO5MyZM1msWDG2a9eOf//9NxMTE/nFF1+wbNmyLFCgAH/88cccu4z2xIkTVBSFTk5Oat8t87K1c+dOOjg48K233lJbEC9fvszKlSvbxG9q6datWxw2bBgbNWrEuXPnWr0XGxvLEiVKsECBAuq9ZtJaP5OTk9O8MmvJkiWsUaMGx4wZo55uS0pK4ogRIzh//vws6X9l3oGYj9APHz7MTz75hIsXL1Y7tN+4cYPdu3dn06ZNuXDhQkZHR3PmzJns3bt3lt65+2U9evSIa9asUTv1mqXWQmM0GjlixAgOHDgwU8ng1q1b6evrq14Vau7Q++OPP9LFxUVtRcyNA5l79+5x6tSprFevHt99993nJjSvv/56tl61FBYWxnz58nH16tVMTk7mkCFD6O/vzy5dunD16tXs0qULa9WqpZ6Oz86HDb8sSWZyQHBwML29vXn//v00M9mXzXDNC9aWLVtYoUIFlilThvXq1WPt2rUZGxvL48ePs0ePHnRxcWHHjh0ZEBCQJc+DsbybruWREGna+B4/fpylS5dOkdCUKlVKvWopp8/j//DDD8ybN696D4XcEB0dzerVq1s9vM7V1ZWTJ09W5+WjR4+4YMECtmrVKlsu5U3PqlWr6ODgwEmTJqkbV8sr4xRFUW+SR5KtWrXitGnTcrSMz0pt43rr1i2OHz+e/v7+/PDDD9Xhd+7cYd++fTl37tw0Wy2eXT52797NXr16sW/fvpwyZYq6zq5YsYK1a9dmz549+eWXX3Ly5MksV65cmq2xmbF27VpWq1ZNvYpt48aNdHZ2Zs2aNVmlShVqNBouXLiQpOkKveHDh7NEiRIsVqwYixcvbjPPWrL0+PFjbtiwgb6+vlYJjeVO/Pr16yke7JjWzvPZh0aSpta3nTt3skmTJixZsiT79OnD7du3s23btnz33Xdz5dSIuWz379/npEmT0kxokpKSOH369Gx/Hp65LOPHj6eLiwuLFCnCkiVLcv369WrfmatXr1Kr1Vrd/NJWSTKTDZ5d6U6fPk1XV9csPS9rXvAt75p58OBB5suXj19++SWTkpLUnY75OTm3bt3iV199xTfeeINvvfVWlnV2vXbtGj08PKgoCgMCAjht2jT++uuvapISFhbGGjVqsFatWiRNN8urW7cuq1Spkq39P9Jy/fp1BgQE5MhVS2nVLTo6mjVq1ODDhw956dIlFitWjMOGDVPfDw0NpcFgYGJiYraevkmv494XX3xBRVG4cOHCFDuUw4cPqzsEc/+RZ29+mJPM5Tpy5Ag//vhjdRkkTa0wEyZMoL+/P8eNG8fz589z6tSpbNGiBe/evZvq9wUHB7Nw4cJqorB//34qisIBAwawf//+9PLyYo0aNayO+rt3704fHx/WqlXrpW+Bb54vmzdvZsOGDdm8eXOGh4dz2LBh/Oabb5icnMxHjx7xs88+o1arVRPLuLg4hoeHc8+ePTl6VV5mPXr0KNWExmg08u+//2aTJk1YqlSp517Nmdrp2uXLl1t1zP7uu+/Uu/wqisIWLVrk6K0XLKWV0Jg9evSIY8aMoU6ny5ZbVKS2vt+6dYvHjh3jpk2bUtwP6fz586xbt656M1FbJslMNgkNDVVvMf/bb7+xSZMmVrestpTZnbl5gTx58iRLly6tNpt+/PHH6vNgrl27Rl9fX44ZM0b9XHYdjVy5coU1atRg+fLlWadOHfV8a40aNdi/f39u2LCBGzduZJkyZdi6dWuSpow/J59C+6yc2JhZJpx37txhcHAwr1+/zri4OF65coWFCxdmcHAwS5cuzTfeeEMd/+zZs3z11Vd58uTJHCkfaTp99N133/Grr76yGufzzz+noij8+OOPU11Obekqmc2bNzNfvnxs0qSJesfnd955h7Gxsbx//z7nzZvH0qVL09vbmyVLlky31eLPP//kO++8w4oVK3LBggVcvHixVUvUvXv3WLNmTdasWVMddv/+fd66dUu9E/LLMvdjOHr0KJs1a8b69euzVq1aKZaLTz/9lA4ODjnWnyqjLO+TlZrUEpoHDx6wcePGrFixonpa7XlXyqR2urZDhw4pTtcfOnSIb7zxRo5csRgSEpLmcpBWQvP48WNOnDiRefLkyZYWNcvfcf/+/dywYQOvX7+e5sUXDx48YJcuXdiqVSubuFrpeSSZyWJ6vZ5xcXGsW7cuS5YsST8/P7q7u1NRFLZs2ZLvv/8+f/nlF545c+aF+omYF6ozZ87Q1dXV6tkygwcP5htvvMEbN26wePHiHD58uLoD2rRpE//3v/9l20IZGRnJ7t27s2vXrjx27BivXr3KdevWsVGjRqxbty5dXFxYpUoVKopidST2b2X+nS9evMjXX3+dFSpUoLOzM93c3NivXz+Gh4dz4sSJVBSFvXr1svrstGnT6O/vn62nliyXg6lTp9Lb25sNGzZk4cKF2aZNG54+fVod5/PPP6eDg0OKjrTk808B5JTIyEj6+vpy5cqVall++OEHFixYkFOmTCFpSmBv3rzJo0ePZugS16tXr3LKlCmsVq0aixUrpl7+bN743717l0WKFOH7779PMmt/gydPntDf35/ly5cnaWp1bdGiBXU6nZrMmO8zdPfuXZYtWzbVK1Jyy6RJk9ilS5fnPlPNnND4+fmxS5cubN68uVUi87wDsLRO15rn+bOy+/SS0Wjk6dOnqSgKZ86cmebNTp9NaBo2bMhy5crRxcUl208NvvPOO/Tw8GDhwoXp7e3NJUuWWJ0SjYuL44YNG9i+fXtWrVo1w0llbpNkJouZO9OaO92dP3+eBw4cYNmyZVm4cGH27duXfn5+zJs3Lxs1apRmM3dqLI/c8+TJw+nTp1u9v2jRInbv3p3e3t584403SJpWrqdPn3L06NEcP358trZIXLhwgW3btmXr1q2trk66f/8+v//+e86YMSNLmuBtneV88vLy4siRI7l69WpGRERwypQpLF26NCtUqMA5c+awX79+LFOmDPft28fNmzdzwoQJdHV1zbHLxv/3v//R29tb3UGuXbuWiqKwSZMmPHXqlLqDnj9/Phs3bpzrSUtawsPDWapUKYaHh1uV8bvvvqNGo0nRnys9lhvtixcvcurUqcyXL59VK+fTp09pMBjYuXNnjho1KmsqYcF8RWClSpVYv359kqYWmsqVK7Nq1apWncEfPnxodeNNW/DNN9/Q39+fgwYNylBCs2nTJhYsWDBTiQz5/NO1YWFhudJquHz5cup0Os6ePTtDLTRjx45lxYoVs2W9t1wfDhw4wPr16zMkJISxsbF86623WKlSJc6dO1e9PcfSpUvZqVMnDhgwwOYuv06PJDNZ6LfffmP58uVTbe5dsGABmzdvTtLUfHzlypUX6kNz7do1FipUiH369LEa/tVXX/HVV19l6dKlWbBgQfVeDomJiZw+fTq9vLxy5Lksly5dYtu2bdm2bdtUn3FiDyvFy3g24Zw2bVqKOq9bt45169ZlvXr1uHLlSg4ePJhubm6sWrUqW7Vqla2nC/bu3as+oNJ8p9gff/yRpKnzeIECBbho0SKWLl2aTZo04YkTJ1L0W7CFhMZcBnOfsdDQUDo6OqpX91jeHblSpUpWp4gy4uDBg+pO8M8//+SkSZNYpEgRzp8/32q8du3acejQoWleNv0iLH/n0NBQli1bVk1ojhw5woYNG7JSpUo8dOgQDxw4wHfffZdubm4284wcs3Xr1rF27docOHDgcxOaBw8e8Jdffkn37tEvero2Jw+e9Hq9Ov2vvvqKiqLwo48+SrMzuOUNM1/k2XuZ8d1333HcuHGcMGGC1fDJkyezUqVKnDdvHhMTExkfH8/z58/b1LPVMkKSmSwUEhLC5s2bs1q1aup5WfNRxtKlS1m6dOmXnkZUVJR66Zy5U9a8efOYJ08enj9/ntHR0SxZsiRr1arFsmXLsn379vTy8srRFfrSpUts164d27Zt+0K3H7d35oTz2Y6NlhvoFStW0MPDQ+2jEhkZyQcPHmTrUeThw4epKArr1KnDNWvWkDQ93O7WrVs8ffo0S5cuzc8++4yk6a6giqKwUqVKVpeG2kIiY2a+Us78iIxu3bqxSpUqVgcJT548Ya1atbhy5coMf29CQgJr1KjBIkWKqC2tly9f5uTJk+nh4cE33niDCxcu5OTJk+no6PjSHZ+ffYCf5TDLhKZevXokTfOxSpUqdHZ2ZsOGDTlu3Dibau20XEYyk9CYpbbztNXTtc8y133Pnj1ct24dixYtSmdnZ86ZMyfNjvw5tU516dKFiqKwefPmKVrop0yZwsqVK3PatGlWl/Lb+qklS5LMvITUFsLDhw+zY8eOrFSpklVHs4iICPr5+WXJFU3mZKFLly4cNmwYPT09uXfvXvX9mJgYrl27ltOmTeOaNWue2xEvO1y6dImdOnVi/fr1M9XE/29gmXA+ewdYy2WmcePG7N69O8mcOfrZtm0bFUVh06ZN2aVLF6vLLZcuXcoWLVqoR4c//PADx4wZw1dffdVmj8yuXr3KcuXKqVfrhYSEsE2bNqxUqRIPHDjAQ4cO8d1332WhQoUyfY+ekydPsl69eixTpoxVQjNp0iQWKlRI7UOTVQ8lvHLlCsePH2/VKmeZ0Bw7dozly5dnhw4dSJqu3qlfvz7btWuX688TMktrp/zjjz9mOqGxZA+nay3rHhgYSJ1Ox0WLFnHJkiUcP348FUXhe++9l2M3lkwrCRk+fDi9vb351VdfpVhuRo4cyX79+tnUAUtmSDLzkk6cOJGiI++hQ4fYqVMnVqpUST21c+rUKXp7e2fZszUuXrzI1q1b08XFhZ988ok63JZO40RERLBXr165etVSbrFsnbJMaCw3FAEBAVYPjswJ/fv3Z7NmzdijRw8GBATw+++/J0nOmDGD5cuXZ0xMDOPj49mpUycuXbpU/ZwtJjSPHj1i//792alTJ3XYoUOH+Morr9DFxYXlypVjpUqVnttqkdbG+/Tp06xVq5ZVQvPnn3/yzTffZJMmTbLkPjJm4eHhLFmyJEeOHGnV0mPZarNjxw6WL1+egYGBJE1XoNnKnX0td57Xrl3jxYsXrW4b8cMPP7xQQmOrp2vNnr1iymAwsGfPnikeRbJ06VIqisIPPvggS5eb1FjOi1OnTvHUqVNWLeT9+/dnhQoVuGrVqhR3vbalU8mZJcnMSzDfD6FevXopHtD1yy+/sGzZsqxTp466cUqrZ/uLunz5Mtu0acP27dunucPMbc/et+C/xDKhsbxPg8FgYHR0NNu3b69egZLd88zch+THH3/ksGHDeOzYMfbo0YNNmjThzp071cdKeHl5sVSpUlZXMdgCyxsJWjp37hydnJy4atUqq+Hnz5/nlStXMrzjOHz4MJs2bZpiPpw6dYpVq1ZlxYoV1Z1zZGRklj7LzMycPL3xxhupJjSJiYn09fXlRx99lOXTfhmWO8+ZM2eyTp06dHZ2Zu/eva0u9f/hhx9Yp04dDh48OEM3rLTV07VmCxYsYLdu3awSguTkZLZt25YjR45UX5t/nxEjRjB//vzpXuX0siyX3+nTp7Ny5cosV66cenWrWf/+/VmxYkV+++23KX4rW9p/ZIYkMy9p7dq1bNWqFZs3b57iJlUdO3aks7Mz69atm203h0trhylsQ1otNFOmTGH16tWz9cZmwcHBKfqK3Lx5k8WKFeM333zDmJgY9ujRg40bN+bPP//M2NhYLlmyhMuWLbPJqxh+/fVXduvWjYsXL7YaPm7cOPbq1Yt37tx54XP8gYGB9PX1ZatWrVIcnX733XdUFIXFixfP9lM6p06dUhMay9PU5pvkdezYUe3AbWs7nffee4+enp7csWMHf//9d7Zs2ZIVKlRQH3JJmpJpX19fq7sxp8VWT9ea/fXXX4yIiCBJqyuWZs6cyUKFCqkt0uZ1aO7cufT19aW7u3u2t84sXLiQHh4ePHr0KB8/fswZM2ZQURSrU/4DBgygu7s7f/7552wtS06RZCYTzCvQ48ePrTZqW7ZsYbNmzdiyZUurBzaOHTuWK1euzJbHtlv6L/dPsQeWCc2pU6e4YMECqwd/Zofg4GAqikJFUdi2bVsuX75cvaPounXr2LlzZyYmJvLcuXPs2bMnmzVrpnYKNrO1U0unTp1ir1691MuTV69ezVu3bvHo0aMsWLCgenl5WgmNebhl50fzOv306VPu2bOHlSpVYkBAQIobjHXo0IHt2rWzurNsdjEnNIMHD1ZPkSUlJXHWrFlZ1u8uK1gmFIcPH2b16tXVKxgPHDhAZ2dnNmvWjFWqVLFKQPfs2ZPhZctWT9daLh+HDh1iq1atuGfPHpKmvlwtW7Zkw4YNrU6xv/POO9y+fXu2PyvLaDTytdde47fffkvS9KyqAgUKcMWKFSRpte96//33bW49f1GSzGSQ5YP2WrduzYYNG1odXWzbto3NmjVjxYoVuWzZMo4cOZKlSpXKsVuK/5f7p9gDc8Lp6elJBweHbL+7b2RkJJs2bcoWLVqwefPmfPPNN+nh4cFPP/2UixYtYosWLdSdw/nz5xkQEGB1HxVbYLnDMscPHjzgjRs3OHDgQNavX58lS5bk9u3bWaNGDbZs2TLFaahnXb9+nb1797Z6ErF5x5ScnMzdu3ezcuXKbNq0KR89esQnT55w9uzZHDZs2HO/OyudOXOGTZo0YYUKFdi1a1f26NGDPj4+L9SBNifcvXuXn3/+OR8/fsxffvmFhQsX5jfffMO4uDhWrFiRpUuXTvEg0hdJaHL7dG1qLl++zFKlSrF9+/YMCQkhaWpFbNmyJd3d3fnqq6+ybdu2dHFxyZG7Dz948IB+fn7csmUL9+/fz3z58qk3FXz69Clnzpyp9rsy+zckNJLMPIflynHw4EHmz5+fo0eP5pgxY+js7MzXXntNfart4cOH+eqrr7JMmTJs2LBhjl8u+V/un2IPLly4wC5duuTYM4wuXrzIHj16sHPnzvzll1+4d+9e9ujRg+3bt6eiKOzWrZu6EYuKirKpyzDN692xY8e4ZMkSzps3L8WO4Pfff+ecOXPo5+dHZ2dnlixZ8rlXi/z5559s0KABO3bsmGLHSJo29kFBQaxatSodHR1Zp06dLHkg64u4evUqlyxZwt69e3PevHk50iqUEceOHVNb+UaMGKH2V3nw4AENBgNfeeUVqw67r7zyCqtWrcpx48a9cLKRm6drMyIyMlLteGzubBsTE8N58+axX79+KfpBZZW01tkJEyawTZs2zJs3r9XNFP/++2+2b98+Rx5imdMkmcmgK1eu8Mcff7Q6/3vkyBHmy5ePffv2terQdfPmTZt4Vo2wPTndqfbChQts164d27Rpw4iICOr1ep4/f55Dhw5VT3Ol9tTh3GT5BPgiRYqoD1p0cnLizz//nKIfz/nz5/nll19a3Q8nPWkd6ZsTO3Mn08mTJ3PNmjU2k0TkNqPRyBs3btDT05NDhgzhoEGD6OzsbNVaZDAY2KBBA/UxK8nJyezbty/Xr1//0lfK5MbpWkuWN0a8cOEC9+3bxxMnTqiJ1MWLF9WE5uDBg9leHst19erVq1a3H9i5cyc9PDzYunVr9dYct27dYocOHdiwYcN/RUvMsySZScUHH3xg1ffk5s2bVBSFLi4uKTquHT16lHnz5uWAAQOyvW+MEC/i0qVLbNOmDdu0aaM2g5vZQvKSmsOHD7Nw4cLqUWVUVBQVRaGrq6t6x2JLmd1Bpnfq4vHjx5wyZQp79uyZ4tJVQbWPkoODAzdv3qwO1+v1fPToEUeMGMFmzZpx5MiRbNGiBatXr67uPF92ecvp07WpLVebN29msWLFWKJECfr5+bF8+fJq8mJOaNq3b8/du3dna9nMpk+fTj8/PxYuXJhVq1blDz/8QNJ09Zj59gT16tVj3bp1Wbt2bfWA6t+W0Egyk4rmzZunaNLesGGDetdJ87lz84IeGhpKRVE4fPhwm905iP828867Xbt2Ka4MsTVJSUlcvHix+mDLa9eu0cfHh6NGjeJbb71FZ2dnbtmy5aWnk1pCk5SUxLFjx1Kj0dhs/5TcYHkDv9OnT9PPz49eXl4cNmxYipaR8+fPc/jw4WzZsiX79OmT5Q8qzKnTtebt+507d9Q6HDt2jK6urlyxYgWvX7/OAwcOsH///nR2dlYPFCIjI+nj48MePXpkSz8ry99xzZo1LFy4MNetW8cDBw6wX79+rFSpEhcuXEjStG/65ptv+O6773LNmjXpPi7C3kkyY+HZlc18F1HzArBhwwbqdDpOmTJFXbjNC3xYWJh6mZ4QtujSpUvs2LEj69SpkyM3FMssy6Pg06dP88SJE3zw4AGbNm3KYcOG0WAwMCIigs7OzlQUhRs3bnzpaVomNPv37+fkyZPp4uJiU48HyG2W20XLlpADBw7Q19eXgwYNSvNUj3meZvXOM6dO18bFxdHDw0O9Mujrr79m8+bNrX6TmJgY9uvXjzVr1lRb56OiojJ91+nM2rx5M7/88ksuW7bMavikSZNYsmTJNE91/dtaZMwkmUmFeQX09/enp6cnjxw5oi4A69atUxMa8wpqa/d7ECItf/zxBydOnGhTLYjp7fDOnz/PWrVqqTdZ+/PPPzlw4EC+++67WfYoAfOpC3d3dzo6OvK3337Lku/9N7BcTt59913WrFmTq1evVufVnj176Ovry6FDh6q/m+WdpUn73j7q9Xr27NmT3bp148OHD7lkyRK6u7urfSTNdfv555/p4+OTZcvk80RHRzNfvnxUFEW9Ssxy/WnYsKF6753/CklmnqNRo0YsXbq0VQvNunXr6OLiwjFjxvwrm+vEf4MtJDTmncEvv/zCQYMGsXfv3hwxYoR6Zd6BAweoKAoPHTrER48ecebMmQwICEjxoLyXldNXmtmbadOm0cPDg/v3709xw7fdu3erV3BWr16dpUuX/lddWbls2TK6u7szMjKSFy9eZJUqVbho0SKr+8VcvHiRpUqVytCdjV9EautqSEgIa9asydq1a6t9u8zjTZgwgd26dcuWstiq/3Qy8+wCYvnaMkmpV69eioRm9erVLFSoULbc1lyI/5Jt27Yxb968nDBhAhcvXkw/Pz/+X3v3H1NV/f8B/Hm5wASWmIOuJEgaSPyQGxfaJcFIKkWHMrYYaq22VvwSUqPFZIY4ZGBeFmhmiYGgrR9gg+kIs8wukAzUuNdEEAiCKRfuFgHjR+C9r88ffO/5QlgZKZfLfT3+81y5e917OJznef/09fUVbpovv/wyiUQi8vX1pYULFz6wLqC5tH3DXKJSqcjb21sYa9XX10dNTU2kUCiEKdpVVVWUnZ1NaWlpc3L16Ht1t7WNiIj8/Pxo27ZtRES0fft2kslkdPDgQdJoNDQ4OEgpKSnk5ub2QO4Hk+9LZWVldPToUTp+/Dg1NzeTUqkkd3d3Cg0NpZ6eHhoaGqKxsTGSy+X0yiuv3Pda5jKzDjNEE1Pa8vLyhH//U6CZ3OVkWF+GMXbvJl9jWq2WAgICKCcnh4iIbt26Rc7OzhQbGzvlZ06ePEknTpyg1tbWWa3VHP25W6ixsZEcHR3p22+/pWvXrlF8fDx5eHjQY489RjY2Nnddg8fUxmUYficNe5gZGO4BCoWCVq1aJezBFxsbSzKZjBYsWECBgYHk6Oj4wMdZJScnk4ODAwUHB5OdnR09/fTTlJOTQ0qlklauXEkuLi4UGhpKW7duJS8vr2njOuc7sw4zd+7coZSUFFq5cqUw+pto6h/byU9rwcHBZG9vz1sGMDYDCoVCuHYM11hnZyd5eHjQwMCAsG/U5CBTVlZmlFrZxF5ClZWVwkJ4S5cuJVtbW0pISKCSkhIiIvLy8qKsrCwjV3p//PLLLxQeHk75+fnT9uDq6uqixYsX0+7du4VjjY2NdPLkSfrqq68e+BYTJSUl5OTkRJcvXya9Xk99fX30+uuv07PPPksff/wxKZVKkkqltGTJkinjdkyxdWymzDrMEE0sb75jxw6Sy+VTdqP9qxaaTZs2Tdv2nTH294aGhigsLIxsbGymzIj57bffSC6X09GjR8nV1ZViY2OFB4jOzk7avHkznTt3zlhlm7UXX3xR2Hizo6ODKisrp3S1j4yMkFwup6KiIiNXen80NjZSeHg4WVpaUnBwML3zzjs0MDAgjM/Kzs4mT09Po6wGfeDAAZLL5TQ2NibcmzQaDUVGRtL69euJaKKr79FHH6WNGzcKP2curTJEHGaIaGJqXWJi4l8Gmj/++IPefffdaRvxMcbuXXd3N0VHR9NDDz1E9fX1RDTRVRsdHU0LFiygiIiIKf8/JSWFZDKZ0LTPZteXX35Jvr6+1NTUNOX4yMgINTc3U3h4OMlksnn39K9WqykmJoaWL19Oy5Yto+TkZFKr1XT58mVydnYWWgtnoyvNEEZycnJIKpUKA30N33l9fT2JRCJSq9Wk1+upqqqKXF1dafXq1Q+8trmGw8z/mRxoJjebDg8P0/bt28nKyopnOjA2A5NbOVtbWykyMpIkEomwKJ1KpSIvLy8KDQ0lhUJBpaWlFBcXR/b29rO2VL05m3x+/jwpwtfXd8pA0rGxMSouLqawsDAKDg6et6vJjo6OUl9fH7399tsUFBRElpaWlJaWRg4ODiSVSqd1Qz1o169fJ7FYTOnp6VOO19bWko+Pz5SxZBcuXCBPT0/q7Oyc1RqNjcPMJH9uodHpdLRr1y6ys7PjtScYmyHD02V5eTmtXbtW2Ojy4YcfptraWiIiunr1Kr366qvk5uZGUqmUNm7caJTmfHMzuRvi1KlTdPjw4SlTjktLS0kmk01ZDbmhoYFKS0vn9Wqyk2m1WiosLKSQkBCytbUle3t76u3tnfU6Tpw4QVZWVpScnEw1NTXU2NhIGzZsoDVr1kwLobO5w/tcISIiAhNoNBpkZmbi6tWrGBgYQFtbG6qrqyGTyYxdGmMm69KlSwgJCcGRI0cQEhKCjo4O5OXloaqqCufPn4dcLsfIyAh0Oh2ICJaWlrCxsTF22fMaEUEkEgEAKisrsWfPHlhbW6O9vR3p6emQy+Xw8PCAVCpFUlISkpKSpr2HTqeDWCye7dJnxeTvBwB6e3vR0dEBBwcHrFixwig1nT59GklJSRCJRLC1tcUjjzyCixcvwsrKal6fi3vBYeYuNBoNUlNTUV1djZKSEkilUmOXxJhJy8/PR2FhIZRKJSwtLQEAnZ2diImJQX19PS5cuMDX2SyafKNOTU3Fjz/+iA8++ABOTk5CyGxpacGbb74JlUqFmpoaVFVVwcXFxciVM41Gg56eHoyNjcHf3x8WFha4c+eOcF2ZKw4zf0Gr1UKv10MikRi7FMZM3pEjR5CSkgKtVgsbGxvhZlpeXo7IyEiIRCLU19dzC+gs6+jowK5du5CQkIAXXnhBOP7rr79CpVJh3759GB8fx88//4wvvvgCUVFRZt8CMNfo9XpYWFgYuwyj42/gLzg6OnKQYWwG7vZ8tG7dOri7uyMjIwP9/f1Cq4CrqysiIiLw2muvwdbWdrZLNWu5ublYu3Yturu74ebmBmCi2wiYOC+bN2/Gd999h6KiIoSFhSEjIwMAOMjMMRxkJvC3wBi7bwwtLleuXMHnn3+OiooKAMDjjz+O8PBw/PDDD8jMzER/fz8GBwdRUlKC0dFR5OXl4YknnjBy9fObSqVCeXk5ampqAABbtmyBWCxGXV0dmpqaAEwEFUMYJSIsWrQIfn5+OHToEMbHx3Hx4kVjlc/Y3zLvTjbG2H0lEolQVlaG6OhoeHp6Qq1WY9u2bThw4AD27t0LCwsLnDlzBu+//z68vb3R3t4OpVLJrTIP2KeffgqFQoFly5bB29sbgYGBWLJkCWpra+Hv7499+/YJrxlazSYPfnV0dMTIyAh+//13I30Cxv4ej5lhjM3I5L56Q4uMVqvFSy+9hK1btyIqKgrXrl1DREQEgoODkZubCxcXF/T29uLrr7+GnZ0d/P39jTYzxFwUFxcjLi4OBQUFCAsLw6JFiwBAGDTa29sLmUyGFStW4KOPPoKXl9e09zh9+jSioqLQ3NwMd3f3Wf4EjP0zDjOMsX/NEGRaWlrQ1dWF0NBQnDt3DqWlpRgYGEBeXh6WLFkCAKivr8emTZsQFBSEzMxM7k6aRdevX0d0dDR27NiBN954QzhuCJ+GQNPT04OAgAC4ubkhNzd32syympoaSCQSYWwNY3MNj5lhjP0rhiDT0NAAmUyG5uZm4fgnn3yCM2fOoLu7G8DETfOpp57C2bNnUVdXh507d+LGjRvGLN+s3Lp1C8PDw3jmmWemDMw2dCEZBvNKJBLU1dVBqVTi2LFj094nKCiIgwyb0zjMMMbumSHIqFQqBAUFITExEfHx8SAibNiwATU1NRgbG8Phw4eh0WggEolARAgICEBJSQna29uxcOFCY38Ms3HlyhUMDg7Cw8NDOBeTiUQi3LhxA99//z2cnJyg1Wpx6NAhI1XL2MxxmGGM3RNDkFGr1Vi9ejV27tyJrKwsABM3xYqKCjz55JOorKxEUVER0tPTpwSawMBAqNVqLF261MifxHy4ublhaGgI33zzDYCpg3oNiouL8dlnn2F8fByLFy+GWCwWpmgzZio4zDDG7omFhQW6urrw3HPPITw8HJmZmcJr+/fvR0xMDNra2vD888+joqIC+fn52L9/P27fvi3cRK2trY1Vvlny9/eHtbU1jh07hs7OTuG4oYVmYGAALS0tWLVqFaysrITXeS0ZZmo4zDDG7plOp8Py5csxOjoqrFeSnZ2NvLw8HD9+HD4+PtDpdFi/fj0qKirw4Ycf4r333hOe9O/WMsAeHMMMpbNnzyI1NRUNDQ0AJs7D7du3sWXLFmg0GsTHxxu3UMb+I57NxBj7Vwx79lhbW0MikaCsrAynTp3CunXrAPz/TJnh4WG0trbCysoKnp6eRq7afOl0OhQWFiIhIQESiQQ+Pj7Q6/Xo7++HXq9HTU0Nb1TITB6HGcbYv3bz5k0kJiaiuroaGRkZSE5OFrouRCIR9uzZg4KCArS0tMDOzs7I1TIAaGhoQEFBAW7evAlnZ2f4+fkhLi4OYrGYNypkJo/DDGNsRtra2pCQkACxWIzdu3djzZo1AIC0tDQcPHgQVVVVCAgIMHKV7J9wiwybDzjMMMZmzNDlRETIysrC+fPnsXfvXlRXV8Pf39/Y5bE/MXQBMjbfcJhhjP0nLS0teOutt1BXV4e+vj5cunSJgwxjbFbxbCbG2H/i7u4OhUKBwMBA/PTTTxxkGGOzjltmGGP3xfj4+JS1ShhjbLZwmGGMMcaYSeNuJsYYY4yZNA4zjDHGGDNpHGYYY4wxZtI4zDDGGGPMpHGYYYwxxphJ4zDDGGOMMZPGYYYxxhhjJo3DDGOMMcZMGocZxhhjjJk0DjOMMcYYM2n/A7Ud6bQtjHDpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distros bar chart\n",
    "plt.title('Linux Distro Recommendations from Mastodon')\n",
    "plt.ylabel('Votes')\n",
    "plt.bar(distros.recommendation, distros.votes)\n",
    "plt.tick_params(axis='x', direction='out', labelrotation=45)\n",
    "plt.grid(axis='y', which='major', linestyle=':', zorder=1)\n",
    "plt.savefig('distros.png', dpi=600, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "702c2a71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# desktops bar chart\n",
    "plt.title('Linux Desktop Recommendations from Mastodon')\n",
    "plt.ylabel('Votes')\n",
    "plt.bar(desktops.recommendation, desktops.votes)\n",
    "plt.savefig('desktops.png', dpi=600, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "706712e1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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