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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Начало лабораторной\n",
+    "\n",
+    "Выгрузка данных из csv файла в датафрейм"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['work_year', 'experience_level', 'employment_type', 'job_title',\n",
+      "       'salary', 'salary_currency', 'salary_in_usd', 'employee_residence',\n",
+      "       'remote_ratio', 'company_location', 'company_size'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "df = pd.read_csv(\".//static//csv//ds_salaries.csv\")\n",
+    "print(df.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Посмотрим краткое содержание датасета. Видим, что датасет состоит из 3755 строк и 11 столбцов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 3755 entries, 0 to 3754\n",
+      "Data columns (total 11 columns):\n",
+      " #   Column              Non-Null Count  Dtype \n",
+      "---  ------              --------------  ----- \n",
+      " 0   work_year           3755 non-null   int64 \n",
+      " 1   experience_level    3755 non-null   object\n",
+      " 2   employment_type     3755 non-null   object\n",
+      " 3   job_title           3755 non-null   object\n",
+      " 4   salary              3755 non-null   int64 \n",
+      " 5   salary_currency     3755 non-null   object\n",
+      " 6   salary_in_usd       3755 non-null   int64 \n",
+      " 7   employee_residence  3755 non-null   object\n",
+      " 8   remote_ratio        3755 non-null   int64 \n",
+      " 9   company_location    3755 non-null   object\n",
+      " 10  company_size        3755 non-null   object\n",
+      "dtypes: int64(4), object(7)\n",
+      "memory usage: 322.8+ KB\n"
+     ]
+    },
+    {
+     "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>work_year</th>\n",
+       "      <th>experience_level</th>\n",
+       "      <th>employment_type</th>\n",
+       "      <th>job_title</th>\n",
+       "      <th>salary</th>\n",
+       "      <th>salary_currency</th>\n",
+       "      <th>salary_in_usd</th>\n",
+       "      <th>employee_residence</th>\n",
+       "      <th>remote_ratio</th>\n",
+       "      <th>company_location</th>\n",
+       "      <th>company_size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>SE</td>\n",
+       "      <td>FT</td>\n",
+       "      <td>Principal Data Scientist</td>\n",
+       "      <td>80000</td>\n",
+       "      <td>EUR</td>\n",
+       "      <td>85847</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>100</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>L</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>MI</td>\n",
+       "      <td>CT</td>\n",
+       "      <td>ML Engineer</td>\n",
+       "      <td>30000</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>30000</td>\n",
+       "      <td>US</td>\n",
+       "      <td>100</td>\n",
+       "      <td>US</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>MI</td>\n",
+       "      <td>CT</td>\n",
+       "      <td>ML Engineer</td>\n",
+       "      <td>25500</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>25500</td>\n",
+       "      <td>US</td>\n",
+       "      <td>100</td>\n",
+       "      <td>US</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>SE</td>\n",
+       "      <td>FT</td>\n",
+       "      <td>Data Scientist</td>\n",
+       "      <td>175000</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>175000</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>100</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>M</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>SE</td>\n",
+       "      <td>FT</td>\n",
+       "      <td>Data Scientist</td>\n",
+       "      <td>120000</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>120000</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>100</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>M</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   work_year experience_level employment_type                 job_title  \\\n",
+       "0       2023               SE              FT  Principal Data Scientist   \n",
+       "1       2023               MI              CT               ML Engineer   \n",
+       "2       2023               MI              CT               ML Engineer   \n",
+       "3       2023               SE              FT            Data Scientist   \n",
+       "4       2023               SE              FT            Data Scientist   \n",
+       "\n",
+       "   salary salary_currency  salary_in_usd employee_residence  remote_ratio  \\\n",
+       "0   80000             EUR          85847                 ES           100   \n",
+       "1   30000             USD          30000                 US           100   \n",
+       "2   25500             USD          25500                 US           100   \n",
+       "3  175000             USD         175000                 CA           100   \n",
+       "4  120000             USD         120000                 CA           100   \n",
+       "\n",
+       "  company_location company_size  \n",
+       "0               ES            L  \n",
+       "1               US            S  \n",
+       "2               US            S  \n",
+       "3               CA            M  \n",
+       "4               CA            M  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.info()\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Построение диаграмм"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "experience_counts = df['experience_level'].value_counts()\n",
+    "\n",
+    "plt.figure(figsize=(8, 8))\n",
+    "experience_counts.plot(kind='pie', autopct='%1.1f%%', colors=['lightcoral', 'lightgreen', 'lightblue', 'gold'])\n",
+    "plt.title('Распределение уровня опыта')\n",
+    "plt.ylabel('')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная диаграмма отображает распределения уровня опыта"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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DoKysjF9//ZUhQ4bU6Pq+vr5Vzrt58+Yq80JCQvjPf/5Dly5duPLKK7nrrrtYsmQJL7744jnNO52QkBBbPDfeeCMdO3bkxRdf5NNPP2Xr1q3s3LmTDz/8kNtvv932maSkpGrPZbFY2LNnj90Pqjt37gSsSbhzYTab2b179xnv77Fjx0hOTmbq1Kk8+eSTtuPV/V7XRG2/97lq3rw5Pj4+/P7771XGduzYgYuLC61btz7reU63pk/e89reHx8fH9uaGDlyJHv37uWZZ56pkowCa6le9+7dOXDgAGPGjKk2IXuyGXpUVFSNkhiHDh2isLDQbndUdeuoa9euXHzxxcyfP59WrVqxf/9+Xn/99bOe/9TYH3vsMQ4dOkTnzp158MEH7RJpbdu2ZenSpRw/ftxud9SOHTts43/m5ubGbbfdxnPPPcdvv/122idw1sYXX3zBmDFjePnll23HiouLyc3NrXb+5ZdfzqWXXmp7n5WVddpzb9q0iU8++YSFCxdWmyg81VtvvUVmZmaVp0GKiEjTpJ5RIiIip/HII4/g6+vL3//+92qfApWWlsasWbPsjqWkpNj1WTlw4ABff/01gwcPxtXVFVdXV2688Ub++9//Vrvr6ujRo3bvlyxZQl5eHtdff30dfatKEyZMwMPDg/fee4+EhAQ6d+58XvPOpri4mMLCQlsPoJM/nJ5aFmQYRpV7eqo33njDbu4bb7yBu7s7AwcOPKeYvv76a06cOHHGUqfq4gR49dVXz+ma5/K9z/U6gwcP5uuvv7YrY8zIyGDBggVceeWVtnLUM1m4cCEHDx60vf/ll19Yu3atrfzyfO5PeXk5x44ds62JP+vSpQs9e/Zk+/btjB07tto5N9xwA66urkydOrVKDIZhkJ2dbXesrKyMd955x/a+tLSUd955h+bNm9v1ewPrUxWXLFnCq6++SkhIiO0718TJPliRkZG88MILfPzxxyxZssQ2fs0111BeXm63pgFmzpyJyWQ67bXGjRvH1q1b6du3b5Wy1XPh6upa5b69/vrrlJeXn/e5//3vf3PFFVcwfPjwM847fvw4zz33HA8++CARERHnfV0REXF+2hklIiJyGjExMSxYsIC//vWvxMXFcfvtt9O1a1dKS0tZvXo1n3/+eZUfkLt27UpiYiL3338/np6evPXWWwBMnTrVNuf5559n+fLl9OrVizvvvJPOnTuTk5PDxo0bWbp0qa0h8Keffsq//vUvPD09OXHiBB9//LHtHHl5eZSXl7Nw4UJGjBhR6+/2/vvv89VXX7F8+fIzlh3VdN6f5eXlMXToUIYOHUpkZCQ5OTn85z//4fDhw7YG0J06dSImJoZ//etfHDx4EH9/f/773/9W218HrA3cFy1axJgxY+jVqxc//PAD3333HY899liN+mSdqqioiKeeeoq33nqLPn36MHjw4NPO9ff3p2/fvsyYMQOz2UzLli1ZsmQJ6enptbrmSbX93ufj2WefJSkpiSuvvJJ//vOfuLm58c4771BSUsKMGTNqdI727dtz5ZVXcvfdd1NSUmJLzDzyyCNA7e5P37596d+/P23atKGgoIAvvviCTZs28dJLL532+suWLaOkpITg4OBqx2NiYnj22Wd59NFH2bt3LyNGjKBZs2akp6fz1VdfMWHCBP71r3/Z5p9MDu3du5cOHTrw6aefsnnzZubMmVOlv9Qtt9zCI488wldffcXdd99dZbymJkyYwIIFC/jHP/7Btm3b8PHx4brrrmPAgAE8/vjj7N27l+7du7NkyRK+/vprJk6cSExMTLXniouLIysry67x+Pm49tpr+c9//kNAQACdO3cmJSWFpUuXEhISct7nXrJkCT///PNZ523cuJHQ0FDbmhIRkaZPySgREZEzGD58OFu2bOHFF1/k66+/5u2338bT05Nu3brx8ssvc+edd9rN79evH/Hx8UydOpX9+/fTuXNn5s2bZ9cHKjw8nF9++YVp06bx5Zdf8tZbbxESEkKXLl144YUXbPMmT57MH3/8AcD48eOrjW/ixIm1Tkbt3r2bBx54gMmTJ9O3b9/znlcdT09P2rRpw5w5c8jMzCQwMJAuXbrwv//9z1aO5e7uzv/+9z/uv/9+pk+fjpeXFyNHjuTee++le/fuVc7p6urKokWLuPvuu5k0aRLNmjXjqaeesisNq6ljx47x6aefMmHCBKZOnXrWvjsLFizgvvvu480338QwDAYPHswPP/xAZGRkra9d2+99Prp06cKqVat49NFHmT59OhaLhV69evHxxx/X+Gllt99+Oy4uLrz66qtkZmZy+eWX88Ybb9CiRQvbnJren65du/Lxxx9z6NAhfH196dChQ5VyxT/z9fWt0nD8z/7973/ToUMHZs6caUv8tm7dmsGDB1fZlRMUFMSHH37Ifffdx7vvvkt4eDhvvPFGlT/LYP2zOnjwYL7//ntuu+22s96r0zGZTLz77rt0796dJ554gldeeQUXFxe++eYbnnzyST799FPmzp1Lu3btePHFF3n44YfPeL66SBSdNGvWLFxdXZk/fz7FxcVcccUVLF26lMTExPM+9/XXX0+fPn1qNPfxxx+v0U49ERFpGkzGn/flioiIyDkxmUzcc889VcpuzlW7du14+umnT1uetGLFCsaOHXteT5JrLMaOHcsXX3xRqyf5yfnZu3cvUVFRvPjii3Y7ixqz/v37k5WVVasHE4wcOZKtW7eye/fueoxMRETkwqKeUSIiIiIi1Th8+DDffffdee2KEhERkapUpiciIuKkRo4cedq+MWAtIRo5cmQDRiRyYUhPT+fnn3/mvffew93dnbvuusvRIYmIiDQpSkaJiIg4qZkzZ55xPC4u7qxzRKT2fvzxR+644w7atGnDhx9+qCe8iYiI1DH1jBIRERERERERkQajnlEiIiIiIiIiItJglIwSEREREREREZEGo55RDchisXDo0CGaNWuGyWRydDgiIiIiIiIiInXCMAyOHz9OZGQkLi5n3vukZFQDOnToEK1bt3Z0GCIiIiIiIiIi9eLAgQO0atXqjHOUjGpAzZo1A6y/Mf7+/g6O5tyYzWaWLFnC4MGDcXd3d3Q4IlqT4lS0HsXZaE2KM9F6FGei9SjOpimsyfz8fFq3bm3LfZyJklEN6GRpnr+/f6NORvn4+ODv799o/4BI06I1Kc5E61GcjdakOBOtR3EmWo/ibJrSmqxJWyI1MBcRERERERERkQajZJSIiIiIiIiIiDQYJaNERERERERERKTBqGeUkzEMg7KyMsrLyx0dSrXMZjNubm4UFxc7bYwXAnd3d1xdXR0dhoiIiIiIiEitKRnlREpLSzl8+DBFRUWODuW0DMMgIiKCAwcO1KgpmdQPk8lEq1at8PPzc3QoIiIiIiIiIrWiZJSTsFgspKen4+rqSmRkJB4eHk6Z7LFYLBQUFODn54eLi6o8HcEwDI4ePcoff/xBbGysdkiJiIiIiIhIo6JklJMoLS3FYrHQunVrfHx8HB3OaVksFkpLS/Hy8lIyyoGaN2/O3r17MZvNSkaJiIiIiIhIo6JsgpNRgkdqwhl3zYmIiIiIiIjUhDIfIiIiIiIiIiLSYJSMEhERERERERGRBqNklIiIiIiIiIiINBgloxqJsWPHYjKZMJlMeHh40L59e6ZNm0ZZWZmjQxMRERERERERqTE9Ta8RGTJkCHPnzqWkpITvv/+ee+65B3d3dx599FFHhyYiIiIiIiIiUiPaGdWIeHp6EhERQdu2bbn77rtJSEjgm2++ASA7O5ubb76Zli1b4uPjw0UXXcT//d//2X3+tttuIywsDE9PT6Kjo3nppZdsY/PmzcNkMjF8+HC7z8yaNQuTycTYsWNtx0pKSpg0aRItW7bE19eXXr16sWLFCrtzBQYGsnDhQmJjY/Hy8iIxMZEDBw6c9rvt3bsXk8nE5s2bbddISEggISGBkpISACwWC9OmTaNVq1Z4enrSo0cPFi1aVOUczZs3p7S01Hb8119/xWQy0a5dO9uxU3eanforMDDQNictLY3rr7+e8PBw/Pz8uOyyy1i6dKld3O3atePVV1+1OzZ27FhGjBhhe9+/f38mTpxoe//777/j7u5Ojx49TvuZ7OxsgoKC7OIRERERERERaQqUjGrEvL29bUmX4uJievbsyXfffce2bduYMGECt912G7/88ott/ujRo1m6dCm7du3iueee49FHH2XlypW2cR8fH1JSUjh48KDt2Jw5c2jZsqXddR955BHWrFnDJ598wpYtWxg1ahRDhgxh165dtjlFRUU899xzfPTRR/z888/k5uYyevToGn2v8vJyRo8eTUFBAQsXLsTT0xOwJsZefvllXnrpJbZs2UJiYiLDhw+3uy5Yk3Zffvml7f0777xT5TuAdafZ4cOHbb/+nFQqKCjgmmuuITk5mU2bNjFkyBCuu+469u/fX6PvcTqTJk3Cy8vrjHOmTp2qEkwRERERERFpkpSMaoQMw2Dp0qUsXryYq6++GoCWLVvyr3/9ix49ehAdHc19993HkCFD+Oyzz2yfGzZsGN26daNNmzbExcXh5uZGeXm5bdzd3Z2bb76ZDz74AICffvoJV1dXLr30Utuc/fv3M3/+fD799FOuuuoqYmJi+Ne//sWVV17J3LlzbfPMZjNvvPEG8fHx9OzZkw8//JDVq1fbJcdO993uuOMOdu/ezffff4+fn59t7KWXXmLy5MmMHj2ajh078sILL9CjR48qSaRx48bx7rvvAtak2GeffcZtt91W5Vond5qd/BUQEGA33r17d+666y66du1KbGwszzzzDDExMbbdaOdi+fLlrF69mr///e+nnbNz504++OADHnzwwXO+joiIiIiIiIizUjKqEfn222/x8/PDy8uLoUOH8te//pWnn34asO4meuaZZ7jooosIDg7Gz8+PxYsXV9nF849//ANvb28uvfRSpkyZwoABA+zGJ0yYwPvvv4/FYmHOnDnceeedduNbt26lvLycTp064efnZ/v1448/kpaWZpvn5ubGZZddZnvfqVMnAgMDSU1NPeN3nDRpEv/5z3+47LLLCA4Oth3Pz8/n0KFDXHHFFXbzr7jiiirnHD58OKmpqezevZtPPvmEfv36ER4efsbrVqegoIB//etfxMXFERgYiJ+fH6mpqVXu6eTJk+3uxfz586s9n2EYPPzwwzz11FNVEl+neuSRR7jrrruIjo6udcwiIiIiIiIizk7JqEZkwIABbN68mV27dnHixAk+/PBDfH19AXjxxReZNWsWkydPZvny5WzevJnExES73kkA06ZNY8OGDbz66qu88sorVRI5Xbt2JTIykk8++YRvv/22yo6igoICXF1dWbduHZs3b7b9Sk1NZdasWef9HVNTU/nhhx/45JNPWLx48Tmdw83NjbFjx/Lee+/xzjvvMGHChHM6z7/+9S+++uor/t//+3+sWrWKzZs3c9FFF1W5p5MmTbK7F3/uu3XSRx99RGFhIf/4xz9Oe80ff/yRVatW8cQTT5xTzCIiIiIiIiLOTk/Ta0R8fX1p3759tWM///wz119/PX/7298Aa7PvnTt30rlzZ7t5YWFhhIWF0blzZ95//32+++474uLi7Obcdddd/OMf/2DEiBFVGmhffPHFlJeXk5mZSb9+/U4ba1lZGevXr+fyyy8HrE27c3Nzq1zrz/7zn/9w9dVX88wzz3DnnXeybds2/P398ff3JzIykp9//tnuuj///LPtGqe688476dGjB8HBwQwaNOisO7Kq8/PPPzN27FhGjhwJWBNxe/furTIvNDTU7velWbNm5Obm2s0pKiri8ccf54033sDd3b3a653cOTVlyhSCgoJqHa+IiIiIiIhIY6BkVBMRGxvLF198werVqwkKCuKVV14hIyPDlozKzc1l4cKF9O7dGw8PD7799lu2bt3KxRdfXOVcN910E0eOHKl2h0+HDh0YNWoUY8eO5eWXX+biiy/m6NGjJCcn061bN4YNGwZY+0/dd999vPbaa7i5uXHvvffSu3fvahNHpzpZmvfggw/y5Zdf8tBDD/Hee+8B1h1ITz31FDExMfTo0YO5c+eyefPmasvioqKieOWVV2jVqhUuLue2ATA2NpYvv/yS6667DpPJxJQpU7BYLOd0rgULFtCzZ0+7J+b9WXJyMi1atOCee+45p2uIiIiIiIiINAZKRjURTzzxBHv27CExMREfHx8mTJjAiBEjyMvLA6y7bubNm8eDDz5ISUkJ0dHRvP322wwcOLDKuby9vZk8efJpr/Xmm2/y+uuv8/DDD3Pw4EFCQ0Pp3bs31157rW2Oj48PkydP5pZbbuHgwYNcddVVvP/++zX+Pi4uLsydO5cePXpw0003MXjwYO6//37y8vJ4+OGHyczMpHPnznzzzTfExsZWe47x48fX+HrVeeWVVxg3bhx9+vQhNDSUyZMnk5+ff07nKioq4uWXXz7jnMLCQp5//vnT7pwSERERERGRJshSjmnfT7TMScG0zx+i+4KLq6OjqlcmwzAMRwdxocjPzycgIIC8vDz8/f3txoqLi0lPTycqKgovLy8HRXh2FouF/Px8/P39T7vjaN68eUycOLFKqZrUncayXhqC2Wzm+++/55prrlEiTxxO61GcjdakOBOtR3EmWo/iNLZ/A4smQ/6hymP+kTDkBehcfT9iZ3WmnMefqYG5iIiIiIiIiEhD2/4NfHa7fSIKIP+w9fj2bxwTVwNQMkpEREREREREpCFZyq07oqiuWK3i2KJ/W+c1QUpGSZ0bO3asSvRERERERERETmfbf6vuiLJjQP5B2Le6wUJqSGpgLiIiIiIiIiJSn8pKYX8K7FoCOxdD9q6afa4go37jchAlo0RERERERERE6trxDNidZE0+pS2H0uOVYyYXMCxnP4dfeP3F50AOLdNbuXIl1113HZGRkZhMJhYuXGg3PnbsWEwmk92vIUOG2M3Jycnh1ltvxd/fn8DAQMaPH09BQYHdnC1btnDVVVfh5eVF69atmTFjRpVYPv/8czp16oSXlxcXXXQR33//vd24YRg8+eSTtGjRAm9vbxISEti1q4aZTBERERERERFp2iwWOLgBlk+HOf3h5Q7w9T2Q+o01EeUTCt1vgVHzYFKa9al5mE5zMhP4t4S2fRou/gbk0J1RhYWFdO/enXHjxnHDDTdUO2fIkCHMnTvX9t7T09Nu/NZbb+Xw4cMkJSVhNpu54447mDBhAgsWLACsjxYcPHgwCQkJzJ49m61btzJu3DgCAwOZMGECAKtXr+bmm29m+vTpXHvttSxYsIARI0awceNGunbtCsCMGTN47bXX+PDDD4mKimLKlCkkJiayfft2vLy86uP2iIiIiIiIiIgzK86z7nratQR2JUFhpv14ix7QIRFiEyHyYnA5ZU/QkBesT83DhH0j84oE1ZDnwcW1fuN3EIcmo4YOHcrQoUPPOMfT05OIiIhqx1JTU1m0aBHr1q3j0ksvBeD111/nmmuu4aWXXiIyMpL58+dTWlrKBx98gIeHB126dGHz5s288sortmTUrFmzGDJkCJMmTQLgmWeeISkpiTfeeIPZs2djGAavvvoqTzzxBNdffz0AH330EeHh4SxcuJDRo0fX1S0REREREREREWdlGJC1C3Yttpbf7U8BS1nluEcziOlvTT7FDoJm1eczAOg8HG76yPpUvVObmftHWhNRnYfX29dwNKfvGbVixQrCwsIICgri6quv5tlnnyUkJASAlJQUAgMDbYkogISEBFxcXFi7di0jR44kJSWFvn374uHhYZuTmJjICy+8wLFjxwgKCiIlJYWHHnrI7rqJiYm2ssH09HSOHDlCQkKCbTwgIIBevXqRkpJy2mRUSUkJJSUltvf5+fkAmM1mzGaz3Vyz2YxhGFgsFiyWGtSNOohhGLb/deY4mzqLxYJhGJjNZlxdm2amvKZO/ln6858pEUfQehRnozUpzkTrUZyJ1qPUSlkxpn0/Y9qdhMvupZhy99oNGyHtscQkYLQfjNGmN7hW5h842xqLHQoxgylP/4ltKUvpGp+Aa9SV1h1RjWx91ubPk1Mno4YMGcINN9xAVFQUaWlpPPbYYwwdOpSUlBRcXV05cuQIYWFhdp9xc3MjODiYI0eOAHDkyBGioqLs5oSHh9vGgoKCOHLkiO3YqXNOPcepn6tuTnWmT5/O1KlTqxxfsmQJPj4+VeKOiIigoKCA0tLS057TWRw/fvzsk6pRbjHYeCCfrMJSQn09uKS1P64up6uRldMpLS3lxIkTrFy5krKysrN/4AKQlJTk6BBEbLQexdloTYoz0XoUZ6L1KKfjVZpDeP5mwvN+pXnBb7hZKn9OLze5ke3XiQz/HmQEdKfQMxzMQGoBpC4994sGx3Pw90L4ffH5fwEHKCoqqvFcp05Gnbrj6KKLLqJbt27ExMSwYsUKBg4c6MDIaubRRx+123GVn59P69atGTx4MP7+/nZzi4uLOXDgAH5+fk7dg8owDI4fP06zZs0wmWqXRFq07QjTvk3lSH6x7ViEvxdPXhvHkK5n2Lp4Hu644w5yc3P56quv6uX8jlJcXIy3tzd9+/Z16vXSEMxmM0lJSQwaNAh3d3dHhyMXOK1HcTZak+JMtB7FmWg9ShWWckwH11fsfkrClPmb3bDhF4HRfhCW9oMwovoS5OFHENCpji7fFNbkyWqwmnDqZNSfRUdHExoayu7duxk4cCARERFkZto3BysrKyMnJ8fWZyoiIoKMjAy7OSffn23OqeMnj7Vo0cJuTo8ePU4br6enZ5WG6wDu7u5VFld5eTkmkwkXFxdcXBz6kMMzOlmadzLWmlq07TD3LNhk15INICO/mHsWbOLtv13CkK4tqv3s+Tj5FEZnvqfnwsXFBZPJVO1aulDpXogz0XoUZ6M1Kc5E61GcidbjBa4oB3YnW/s/7V4KJ46dMmiCVpdBh8EQm4gp4iLrz5b1HFJjXpO1ibtRJaP++OMPsrOzbQmh+Ph4cnNz2bBhAz179gRg2bJlWCwWevXqZZvz+OOPYzabbTcmKSmJjh07EhQUZJuTnJzMxIkTbddKSkoiPj4egKioKCIiIkhOTrYln/Lz81m7di133313Q3x1p2MYBkWlNSsPK7cYPPXNb1USUWB9XoAJePqb7VzRPvSsJXve7q613pElIiIiIiIigmFAxm8VzceXwB+/gHFKL2SvAGifYG0+3j4BfEMcF2sT59BkVEFBAbt377a9T09PZ/PmzQQHBxMcHMzUqVO58cYbiYiIIC0tjUceeYT27duTmJgIQFxcHEOGDOHOO+9k9uzZmM1m7r33XkaPHk1kZCQAt9xyC1OnTmX8+PFMnjyZbdu2MWvWLGbOnGm77gMPPEC/fv14+eWXGTZsGJ988gnr169nzpw5gHV3zcSJE3n22WeJjY0lKiqKKVOmEBkZyYgRIxruhjmRE+Zyuj5dN/XVBnAkv5iLnl5y1rnbpyXi49GocqgiIiIiIiLiKKWFsOdHawJqVxLkH7QfD+sMsYOhQyK0uhxc9fNmQ3DoXV6/fj0DBgywvT/ZX2nMmDG8/fbbbNmyhQ8//JDc3FwiIyMZPHgwzzzzjF3p2/z587n33nsZOHAgLi4u3Hjjjbz22mu28YCAAJYsWcI999xDz549CQ0N5cknn2TChAm2OX369GHBggU88cQTPPbYY8TGxrJw4UK6du1qm/PII49QWFjIhAkTyM3N5corr2TRokUXfL8eEREREREREaeSkw67lsDOxbD3JyivfMo9bt4Q1ddWfkdga8fFeQFzaDKqf//+GEZ1xVtWixefvYN8cHAwCxYsOOOcbt26sWrVqjPOGTVqFKNGjTrtuMlkYtq0aUybNu2sMV0IvN1d2T4tsUZzf0nPYezcdWedN++Oy7g8Kvis1xURERERERGxKTfD/hRr8mnXEsjaaT8e2MaaeOqQCO2uBHdvx8QpNtp/JufEZDLh41GzxNBVsc1pEeDFkbziavtGmYCIAC+uim1+1p5RIiIiIiIiIhRkWsvudi2GtOVQcsqT3Eyu0Ca+cvdT846g3sNORckoqXeuLiaeuq4zd3+8ERPYJaRO/nXw1HWdlYgSERERERGR6lkscHhzZfndoY324z6hEDvI2v8p5mrwDnRElFJDSkZJgxjStQVv/+0Spv5vO4fzim3HIwK8eOq6zgzp2qLerp2Xl8fmzZvtjoWEhNC6tWqDRUREREREnFZxPqQtsyagdiVBYab9eIvuleV3kZeAi4tj4pRaUzJKGsyQri0Y1DmCX9JzyDxeTFgzLy6PCq73HVErVqzg4osvtjs2fvx43nvvvXq9roiIiIiIiNSCYUDWLmvp3c7F1j5QlrLKcQ8/iBlg3f0UOxiaRTguVjkvSkZJg3J1MREfE9Jg15s3bx7z5s1rsOuJiIiIiIhILZiLYd9PsHOJNQl1bK/9eEj7it1Pg6FNH3DzcEiYUreUjBIRERERERGRhpN3sKL0bgnsWQHmosoxVw9oe4W19C52MITEOCxMqT9KRomIiIiIiIhI/bGUwx/rK8rvlkDGVvvxZi0qmo8nQnR/8PRzSJjScJSMEhEREREREZG6VZRjbT6+czHsXgonck4ZNEGrSyvL7yK6gUlPV7+QKBklIiIiIiIiIufHMCDjt8rdT3/8AoalctwrAGIGWsvv2ieAb6jjYhWHUzJKRERERERERGqvtAjSf7TuftqVBPl/2I+Hda588l3rXuCqFIRYaSWIiIiIiIiISM0c21v55Lv0VVBeUjnm5gVR/ayld7GDIbCNw8IU56ZklIiIiIiIiIhUr9wM+9dUlt9l/W4/HtCmIvmUCFFXgbu3Y+KURkXJKBERERERERGpVJBpbTq+czGkLYeSvMoxkyu06W3d+dQhEZp3UvNxqTUlo0REREREREQuZBYLHN4Mu5ZYE1CHNgFG5bhPCLQfZN0BFXM1eAc5KlJpIpSMkoZlKYd9q6EgA/zCoW0fcHF1dFQiIiIiIiIXluJ82LPcWnq3O8n6M9qpWnS3lt7FDoaWl+jnNqlTSkZJw9n+DSyaDPmHKo/5R8KQF6Dz8Hq55NixY/nwww+56667mD17tt3YPffcw1tvvcWYMWOYN29evVxfRERERETEKRgGZO+uePLdYtiXAhZz5biHH0T3t5betR8E/i0cFqo0fUpGScPY/g18djt2Wz0B8g9bj9/0Ub0lpFq3bs0nn3zCzJkz8fa2NtMrLi5mwYIFtGmjpzuIiIiIiEgTVVYCe3+qLL87lm4/HhxjTT7FDrZWrbh5OiZOueAoGSXnxjCgtLBmcy3l8MMjVElEWU8EmKw7pqL7n33rp7tPrZvjXXLJJaSlpfHll19y6623AvDll1/Spk0boqKianUuERERERERp5Z/qCL5tAT2rADzKT+3ubhDuyus5XcdEiEkxmFhyoVNySg5N+YieL5VHZ3MsP6F+Xzrs0997BB4+Nb6CuPGjWPu3Lm2ZNQHH3zAHXfcwYoVK2p9LhEREREREadhKYc/1ltL73YtgSNb7cf9IiB2kDX5FN0fPJs5JEyRUykZJReEv/3tbzz66KPs27cPgJ9//plPPvlEySgREREREWl8inIgbZm19G73UjiRc8qgCVpdai29ix1sbURey+oSkfqmZJScG3cf6y6lmti3Gub/5ezzbv3CWqd8tuueg+bNmzNs2DDmzZuHYRgMGzaM0NDQczqXiIiIiIhIgzIMyNxe0Xx8CRxYC4alctwrAGIGVjQfTwBf/awjzk3JKDk3JlPNy+VirrY+NS//MNX3jTJZx2OurtfHhY4bN457770XgDfffLPeriMiIiIiInLeSosgfWVF+V0S5B2wH28eBx0GW/s/te4FrvrxXhoPrVapfy6uMOSFiqfpmbBPSFVsFx3yfL0mogCGDBlCaWkpJpOJxMTEer2WiIiIiIhIrR3bV/nku72roKy4cszNC6L6VpbfBbV1XJwi50nJKGkYnYfDTR9Zn5qXf0p5n3+kNRHVeXi9h+Dq6kpqaqrttYiIiIiIiEOVm2H/GmsCatcSOLrDfjygtTXx1CER2l0FHufWtkTE2SgZJQ2n83DoNMzaQ6ogA/zCrT2i6nlH1Kn8/f0b7FoiIiIiIiJVFByF3UnW3U9py6Ekr3LM5GotuTtZfhcWp+bj0iQpGSUNy8UVoq5qsMvNmzfvjOMLFy5skDhEREREROQCZbHAkV9h5xJr/6eDG7FrXeITAu0HWRNQMVeDd5DDQhVpKEpGiYiIiIiIiNSlkuPWXU8nm48XZNiPR3Szlt7FJkLLSxq0WkTEGSgZJSIiIiIiInK+snZbk087F1tbk1jMlWPuvhAzoLL5uH8Lx8Up4gSUjBIRERERERGprbIS2PdzZfldzh778eBo686nDoOh7RXg5umYOEWckJJRIiIiIiIiIjWRf8j61LudS2DPCjAXVo65uEO7Kyp2PyVCaHuHhSni7JSMEhEREREREamOpRwObrCW3u1aDEe22o/7RUDsIGv/p+j+4NnMIWGKNDZKRomIiIiIiIicdOIY7E627oDavRSKsk8ZNEHLnhXNxwdbG5G7uDgsVJHGSskoERERERERuXAZBmSmVjQfXwIH1oJRXjnuGQDtr7aW3rVPAL/mjotVpIlQMkpEREREREQuLOYiwvM24/LDckhbCnkH7Mebd7LufOqQCK17gau7Y+IUaaKUjBIREREREZGm79g+a+ndriW4pa+kd1lx5ZibF7S7qrL8Lqit4+IUuQAoGSUNqtxSzsbMjRwtOkpzn+ZcEnYJri6ujg5LRERERESamnKzteRu52JrEuroDtuQCShyD8bzouG4dhwKUX3Bw8dxsYpcYJSMkgazdN9Snv/leTKKMmzHwn3C+ffl/yahbUK9XPPo0aM8+eSTfPfdd2RkZBAUFET37t158sknueKKK+rlmiIiIiIi4iCFWbArydr/afcyKMmrHDO5WkvuOgzGHDWQpHV7uGboMFzdVYIn0tCUjJIGsXTfUh5a8RAGht3xzKJMHlrxEK/0f6VeElI33ngjpaWlfPjhh0RHR5ORkUFycjLZ2dln/7CIiIiIiDg3w4DDv1p3Pu1cDAc3wKk/c3gHQ+wga+ld+4HgHWQ9bjaDKd0hIYuIklFyjgzDoMhcVKO55ZZypv8yvUoiCrAde/6X5+kV0eusJXvebt6YTKYaXTc3N5dVq1axYsUK+vXrB0Dbtm25/PLLa/R5ERERERFxQiXHYc+KivK7JCg4Yj8ecZH1yXcdEqFlT1BbEBGno2SUnJMTZSeI/yS+zs6XUZRBn0/6nHXe2lvW4uNes1puPz8//Pz8WLhwIb1798bT0/N8wxQREREREUfI2l3RfHwx7P0ZLObKMXdfiO4PHQZbd0D5RzosTBGpGSWjpMlyc3Nj3rx53HnnncyePZtLLrmEfv36MXr0aLp16+bo8ERERERE5HTKSmDfz7CzIgGVs8d+PDjauvspdhC0uxLc9A/PIo2JklFyTrzdvFl7y9oazd2QsYF/Jv/zrPPeGvgWPcN7nvW6tXHjjTcybNgwVq1axZo1a/jhhx+YMWMG7733HmPHjq3VuUREREREpB7lH67Y/bTEWoZXWlA55uIObftYS+9iEyG0vcPCFJHzp2SUnBOTyVTjcrk+kX0I9wknsyiz2r5RJkyE+4TTJ7LPWXtGnQsvLy8GDRrEoEGDmDJlCn//+9956qmnlIwSEREREXEkSzkc3Gjd+bRzMRzZYj/uF17RfDzRWobn5e+QMEWk7ikZJfXO1cWVf1/+bx5a8RAmTHYJKRPWZuSTL59cL4mo6nTu3JmFCxc2yLVEREREROQUJ3IhLdlafrc7CYpOfcq1CVpeUtF8fDBEdAcXF0dFKiL1SMkoaRAJbRN4pf8rPP/L82QUZdiOh/uEM/nyySS0Tajza2ZnZzNq1CjGjRtHt27daNasGevXr2fGjBlcf/31dX49ERERERH5E8OAozsqnny3BPavAaO8ctzTH2KutpbftR8Efs0dF6uINBglo6TBJLRNYEDrAWzM3MjRoqM092nOJWGX1NuOKD8/P3r16sXMmTNJS0vDbDbTunVr7rzzTh577LF6uaaIiIiIyAXPfALSV1YkoJIgb7/9eGjHiiffJUKb3uDq7pg4RcRhlIySBuXq4splEZc1yLU8PT2ZPn0606dPb5DriYiIiIhcsHL3V+5+Sl8JZcWVY66eENW3ovn4IAhq57AwRcQ5KBklIiIiIiIitVNeBgfWVjQfXwJHU+3H/VtV7n6K6gseNXv4kYhcGJSMEhERERERkbMrzILdS607oNKSoTivcszkAq17Qexg6w6osM5gMjkuVhFxakpGiYiIiIiISFWGAUe2WHc+7VoMf6yHU56MjXcwtE+wJp9irgafYIeFKiKNi5JRIiIiIiIiYlVyHPassPZ+2pUExw/bj4dfVFl+1+pSqKeHEYlI06ZklJMxDOPsk+SCp3UiIiIiInUmO62i+fhi2Lcayksrx9x9Ibq/NQHVfhAEtHRYmCLSdCgZ5STc3a2PMy0qKsLb29vB0YizKy21/geCq6v+JUpEREREaqmsFPb9bN39tHMx5KTZjwdFVTz5bjC0uxLcPB0Tp4g0WUpGOQlXV1cCAwPJzMwEwMfHB5MTNvyzWCyUlpZSXFyMi4uLo8O5IFksFo4ePYqPjw9ubvojLCIiIiI1cPxIZfJpzwooLagcc3GDtn2spXcdEiGkvZqPi0i90k+yTiQiIgLAlpByRoZhcOLECby9vZ0yWXahcHFxoU2bNvo9EBEREZHqWSxwaGNl+d3hX+3HfcMqnnw3GKIHgJe/Y+IUkQuSklFOxGQy0aJFC8LCwjCbzY4Op1pms5mVK1fSt29fW2mhNDwPDw/tTBMREREReydyIS3Z+vS73UuhKMt+PPKSyvK7Fj1A/z0pIg6iZJQTcnV1ddpeQK6urpSVleHl5aVklIiIiIiIIxkGHN1RsftpCexfA0Z55binP8RcbU1AtU8AvzDHxSoicgolo0RERERERBoL8wlIX2Utvdu5BPL224+HdrSW3sUmQpve4Kp/QBYR56NklIiIiIiIiDPLPVCZfEpfCWUnKsdcPSHqKmvyKXYQBEc5Lk4RkRpyaJHwypUrue6664iMjMRkMrFw4cLTzv3HP/6ByWTi1VdftTuek5PDrbfeir+/P4GBgYwfP56CggK7OVu2bOGqq67Cy8uL1q1bM2PGjCrn//zzz+nUqRNeXl5cdNFFfP/993bjhmHw5JNP0qJFC7y9vUlISGDXrl3n/N1FRERERESqVV4G+1ZD0lPwVjy82hW+e9iakCo7Af4toecdcPMnMDkd/vZf6DVBiSgRaTQcujOqsLCQ7t27M27cOG644YbTzvvqq69Ys2YNkZGRVcZuvfVWDh8+TFJSEmazmTvuuIMJEyawYMECAPLz8xk8eDAJCQnMnj2brVu3Mm7cOAIDA5kwYQIAq1ev5uabb2b69Olce+21LFiwgBEjRrBx40a6du0KwIwZM3jttdf48MMPiYqKYsqUKSQmJrJ9+3a8vLzq4e6IiIiIiMgFozDb2nR812LYnQzFuZVjJhdodXll+V14F9BTlUWkEXNoMmro0KEMHTr0jHMOHjzIfffdx+LFixk2bJjdWGpqKosWLWLdunVceumlALz++utcc801vPTSS0RGRjJ//nxKS0v54IMP8PDwoEuXLmzevJlXXnnFloyaNWsWQ4YMYdKkSQA888wzJCUl8cYbbzB79mwMw+DVV1/liSee4Prrrwfgo48+Ijw8nIULFzJ69Oi6vjUiIiIiItKUGQYc2WItvdu1BP5YBxiV495B1qbjsYnQfiD4BDssVBGRuubUPaMsFgu33XYbkyZNokuXLlXGU1JSCAwMtCWiABISEnBxcWHt2rWMHDmSlJQU+vbti4eHh21OYmIiL7zwAseOHSMoKIiUlBQeeughu3MnJibaygbT09M5cuQICQkJtvGAgAB69epFSkrKaZNRJSUllJSU2N7n5+cDYDabMZvNtb8hTuBk3I01fml6tCbFmWg9irPRmhRnovUIlBZgSl+Jy+4lmHYvxVRwxG7YCOuKpf0gjNhBGJE9weWUJ2xfyPetHmg9irNpCmuyNrE7dTLqhRdewM3Njfvvv7/a8SNHjhAWZv94Ujc3N4KDgzly5IhtTlSUfe10eHi4bSwoKIgjR47Yjp0659RznPq56uZUZ/r06UydOrXK8SVLluDj43PazzUGSUlJjg5BxI7WpDgTrUdxNlqT4kwutPXoW5JBeN5mwvN/JaRgB65GmW2szMWDo826kOHfgwz/7hR7BMMJYEsWbFnsuKAvIBfaehTn15jXZFFRUY3nOm0yasOGDcyaNYuNGzdiaqT10I8++qjdjqv8/Hxat27N4MGD8ff3d2Bk585sNpOUlMSgQYNwd9djYsXxtCbFmWg9irPRmhRncsGsx/JSTPvXYNq9BJfdSZhy0uyGjcB21t1P7QdhtO1DqJsXoUDVOhCpTxfMepRGoymsyZPVYDXhtMmoVatWkZmZSZs2bWzHysvLefjhh3n11VfZu3cvERERZGZm2n2urKyMnJwcIiIiAIiIiCAjI8Nuzsn3Z5tz6vjJYy1atLCb06NHj9N+B09PTzw9Pascd3d3b7SL66Sm8B2kadGaFGei9SjORmtSnEmTXI/Hj8CuJGvz8bQVUHq8cszFDdrEQ4dEiE3EFBqLayP9x/amqEmuR2nUGvOarE3cTpuMuu222+x6NIG1j9Ntt93GHXfcAUB8fDy5ubls2LCBnj17ArBs2TIsFgu9evWyzXn88ccxm822G5OUlETHjh0JCgqyzUlOTmbixIm2ayUlJREfHw9AVFQUERERJCcn25JP+fn5rF27lrvvvrve7oGIiIiIiDghiwUObYSdi60JqMO/2o/7hkHsIIgdDDEDwCvAMXGKiDgphyajCgoK2L17t+19eno6mzdvJjg4mDZt2hASEmI3393dnYiICDp27AhAXFwcQ4YM4c4772T27NmYzWbuvfdeRo8eTWRkJAC33HILU6dOZfz48UyePJlt27Yxa9YsZs6caTvvAw88QL9+/Xj55ZcZNmwYn3zyCevXr2fOnDkAmEwmJk6cyLPPPktsbCxRUVFMmTKFyMhIRowYUc93SUREREREHO5ELqQtsz75blcSFGXZj0deUrH7aTC06AEuLo6IUkSkUXBoMmr9+vUMGDDA9v5kf6UxY8Ywb968Gp1j/vz53HvvvQwcOBAXFxduvPFGXnvtNdt4QEAAS5Ys4Z577qFnz56Ehoby5JNPMmHCBNucPn36sGDBAp544gkee+wxYmNjWbhwIV27drXNeeSRRygsLGTChAnk5uZy5ZVXsmjRIry8vM7zLoiIiIiIiNMxDDj6u3Xn084lsD8FjPLKcU9/666n2ETrLii/sNOfS0RE7Dg0GdW/f38Mw6jx/L1791Y5FhwczIIFC874uW7durFq1aozzhk1ahSjRo067bjJZGLatGlMmzatRrGKiIiIiEgjYz4Be3+qLL/L3W8/HtrBuvOpQyK07g1uHo6JU0SkkXPanlEiIiIiIiL1LvdARendEtjzI5SdqBxz9YR2V1aW3wVHOS5OEZEmRMkoERERERG5cJSXwR/rKsvvMn+zH/dvWdF8PBGi+4GHr2PiFBFpwpSMEhERERGRpq0wG3YvtSagdidDcW7lmMkFWl1WWX4X3hVMJoeFKiJyIVAySkREREREmhbDgCNbK3c/HVwPhqVy3DsI2idYdz+1Hwg+wY6LVUTkAqRklIiIiIiINH4lBZD+Y0Xz8SQ4fsh+PLxr5e6nlpeCq34UEhFxFP0NLCIiIiIijVPOHuvOp12LrU/BKy+tHHP3gah+0GGwNQkV0MpxcYqIiB0lo0REREREpHEoK4X9KdYn3+1cDNm77McD21Y8+S7R+hQ8dy/HxCkiImekZJSIiIiIiDiv4xnW5NOuxZC2AkqPV465uEGb+Mryu9AOaj4uItIIKBklIiIiIiL1y1KOad9PtMxJwbTPH6L7govraeZa4NCmiubji+HwZvtx3+bW5FPsYIgZAF4B9R6+iIjULSWjRERERESk/mz/BhZNxi3/EJcC7Hsb/CNhyAvQebh1TnEepC2z9n/anQSFR+3PEXmxtfSuw2BocTG4uDT0txARkTqkZJSIiIiIiNSP7d/AZ7cDhv3x/MPw2W3QbTTkH7T2gbKUVY57NLPueuqQCO0HQbPwBg1bRETql5JRIiIiIiJS9yzlsGgyVRJRUHlsyyeVh0JiK5qPD7b2gXLzaIgoRUTEAZSMEhERERGRurdvNeQfOvu8yyZA/N0QHF3/MYmIiFNQsbWIiIiIiNS9goyazWvTS4koEZELjJJRIiIiIiJS9/xq2OeppvNERKTJUDJKRERERETqXts+4BNyhgkm8G9pnSciIhcUJaNERERERKTuFWRAWclpBk3W/xnyPLi4NlhIIiLiHJSMEhERERGRulVeBl+Mh9ICCGwDzVrYj/tHwk0fQefhjolPREQcSk/TExERERGRurXi/8H+1eDRDG5bCEHtKNuzks2rFtPjqkTcovtqR5SIyAVMO6NERERERKTu7F4Kq162vh4+C0JiwMUVo+2VHAyOx2h7pRJRIiIXOCWjRERERESkbuQfgi8nWF9fOg663ujYeERExCkpGSUiIiIiIuevvAz++3coyobwiyBxuqMjEhERJ6VklIiIiIiInL8V02Hfz+DhBzd9CO5ejo5IRESclJJRIiIiIiJyfnYnV/aJuq6iT5SIiMhpKBklIiIiIiLnLv9wRZ8oA3reARf9xdERiYiIk1MySkREREREzo2tT1QWhHeFIeoTJSIiZ6dklIiIiIiInJsfX4B9P1n7RI2aB+7ejo5IREQaASWjRERERESk9tKWw8oXra+vmwWhsY6NR0REGg0lo0REREREpHaOH4Ev7wQMuGSM+kSJiEitKBklIiIiIiI1Zym39okqPAphXWDoC46OSEREGhklo0REREREpOZ+fAH2rgJ3X7jpQ/WJEhGRWlMySkREREREambPCvhxhvX1da+qT5SIiJwTJaNEREREROTsjmfAf0/2ibodut3k6IhERKSRUjJKRERERETOzFIO/x0PhZkVfaJmODoiERFpxJSMEhERERGRM1v5YmWfqFHz1CdKRKQOlVsM1qbnsCHLxNr0HMothqNDqndujg5ARERERESc2J4fYcXz1tfXzoTmHRwbj4hIE7Jo22Gm/m87h/OKAVc+2rWeFgFePHVdZ4Z0beHo8OqNdkaJiIiIiEj1jmfAf/8OGHDxbdD9r46OSESkyVi07TB3f7yxIhFV6UheMXd/vJFF2w47KLL6p2SUiIiIiIhUZSmHL++s6BPVWX2iRETqULnFYOr/tlNdQd7JY1P/t73JluwpGSUiIiIiIlWtfAnSfwR3H2ufKA8fR0ckItJk/JKeU2VH1KkM4HBeMb+k5zRcUA1IPaNERERERMRe+kpYMd36etgr0LyjY+MREWkCyi0G2w/lszoti4WbDtboM5nHT5+wasyUjBIRERERkUoFmZV9onr8DXrc7OiIREQaJcMw2JVZwOrdWaxOy2bNnmzyi8tqdY6wZl71FJ1jKRklIiIiIiJWJ/tEFWRA8zi45kVHRyQi0mgYhsH+nCJWp2WzOi2blLQssgpK7eY083SjV3QIvaODmf1jGtkFpdX2jTIBEQFeXB4V3CCxNzQlo0RERERExGrVy7BnhfpEiYjU0OG8E6TYkk/ZHMw9YTfu5e7CZe2C6RMTSp+YELpE+uPmam3f3SrIm7s/3ogJ7BJSpor/feq6zri6mGiKlIwSERERERFIX3VKn6iXIayTY+MREXFC2QUlrNmTw+q0LFLSstmTVWg37u5q4uI2QfSJCaFPTCjdWwfg6eZa7bmGdG3B23+7hKn/227XzDwiwIunruvMkK4t6vW7OJKSUSIiIiIiF7qCTPjveDAs0ONW6HGLoyMSEXEK+cVmftmTU1F6l8WOI8ftxl1McFGrwIrkUwiXtg3G26P65FN1hnRtwaDOEaTszmTJqrUMvqoX8e3DmuyOqJOUjBIRERERuZBZLPDlhIo+UZ3UJ0pELmgnSstZvy/H1vdp6x+5WP7U1KlTRDNb2d3l0cH4e7mf1zVdXUz0igomO9WgV1Rwk09EgZJRIiIiIiIXtp9ehj3Lwc27ok+Ur6MjEhFpMKVlFjYfyGV1mvWJd5v2H8Ncbp99ig71Jb6i7K53dDAhfp4OirbpUDJKRERERORCtfcnWP7/rK+HvQxhcY6NR0SknpVbDLYdzLOV3a3fe4wT5nK7OZEBXvRpb935FB8TQosAbwdF23QpGSUiIiIiciEqOAr//bu1T1T3m+HiWx0dkYhInbNYDHZmHmf1bmvZ3dr0bI4Xl9nNCfXzIL6i7K5PTAhtgn0wmZp+qZwjKRklIiIiInKhsVjgqwlw/DCEdrTuihIRaQIMw2BvdpGt7G5NWjbZhaV2c/y93OgdbU089WkfSmyYn5JPDUzJKBERERGRC81Pr0DaMvWJEpEm4VDuCVvZXUpaNofziu3Gvd1duTwquGLnUyidI/0viCbhzkzJKBERERGRC8m+1bD8Oevra16E8M6OjUdEpJayCkpIqXjaXUpaFnuzi+zGPVxduKRtoO2Jd91aBeLh5uKgaKU6SkaJiIiIiFwoCrPgi3HWPlHdRsPFf3N0RCIiZ5V3wszaPSeTT9n8nnHcbtzFBN1aBXJFe+vOp55tg/Byd3VQtFITSkaJiIiIiFwILBb48mSfqA7WPlHqkSIiTqiotIx1e4/Zyu62HczDYtjPiWvhb2s4fllUMP5e7o4JVs6JklEiIiIiIheCn1+FtGRw87L2ifL0c3REIiIAlJSVs2l/rq3sbvOBXMzl9tmn6Oa+tp5PvaNDCPb1cFC0UheUjBIRERERaer2rYZlz1pfX/MihHdxbDwickErK7ew9WCerexu3d4cSsosdnNaBnpXPO0uhPjoUCICvBwUrdQHJaNERERERJqywmz4YjwY5dDtr3DxbY6OSEQuMBaLwY4jx21ld2vTcygoKbObE+rnaSu76xMTSutgb0wqJW6ylIwSEREREWmqLBb46i44fghCYmHYK+oTJSL1zjAM9mQV2sruUtKyOVZktpsT4O1O7+hg2xPv2of5Kfl0AVEySkRERESkqVo9C3YnqU+UiNS7P44V2cruVqdlkZFfYjfu4+HK5VHBtp1PcS38cXVR8ulC5eLIi69cuZLrrruOyMhITCYTCxcutBt/+umn6dSpE76+vgQFBZGQkMDatWvt5uTk5HDrrbfi7+9PYGAg48ePp6CgwG7Oli1buOqqq/Dy8qJ169bMmDGjSiyff/45nTp1wsvLi4suuojvv//ebtwwDJ588klatGiBt7c3CQkJ7Nq1q25uhIiIiIhIXduXAsnPWF8PfQEiujo2HhFpUjKPF/P15oP8+79b6DtjOVe+sJxHvtjCV5sOkpFfgoebC/HRITw8qAP/vTueX58azLw7LmdC3xi6tgxQIuoC59CdUYWFhXTv3p1x48Zxww03VBnv0KEDb7zxBtHR0Zw4cYKZM2cyePBgdu/eTfPmzQG49dZbOXz4MElJSZjNZu644w4mTJjAggULAMjPz2fw4MEkJCQwe/Zstm7dyrhx4wgMDGTChAkArF69mptvvpnp06dz7bXXsmDBAkaMGMHGjRvp2tX6f9ozZszgtdde48MPPyQqKoopU6aQmJjI9u3b8fJSIzURERERcSKF2fDfij5RF42CS8Y4OiIRaeRyi0pZsyeHlLQsVqdlsyvTfhOIq4uJ7q0CbGV3l7QNwsvd1UHRirNzaDJq6NChDB069LTjt9xyi937V155hffff58tW7YwcOBAUlNTWbRoEevWrePSSy8F4PXXX+eaa67hpZdeIjIykvnz51NaWsoHH3yAh4cHXbp0YfPmzbzyyiu2ZNSsWbMYMmQIkyZNAuCZZ54hKSmJN954g9mzZ2MYBq+++ipPPPEE119/PQAfffQR4eHhLFy4kNGjR9fH7RERERERqT2LBRb+A/IPQkh7uHam+kSJSK0VlpTxy94cW9ndb4fyMYzKcZMJOrfwt5XdXRYVjJ+nOgFJzTSalVJaWsqcOXMICAige/fuAKSkpBAYGGhLRAEkJCTg4uLC2rVrGTlyJCkpKfTt2xcPDw/bnMTERF544QWOHTtGUFAQKSkpPPTQQ3bXS0xMtJUNpqenc+TIERISEmzjAQEB9OrVi5SUlNMmo0pKSigpqayTzc/PB8BsNmM2m6v9jLM7GXdjjV+aHq1JcSZaj+JstCYvTC4pr+G6awmGqydlI98DFy9wgjWg9SjOROuxqhJzOZsO5JGyJ4c16Tls+SOPMothNyemuS/x0cH0jgrm8qgggnw8Thk1dD/PQ1NYk7WJ3emTUd9++y2jR4+mqKiIFi1akJSURGhoKABHjhwhLCzMbr6bmxvBwcEcOXLENicqKspuTnh4uG0sKCiII0eO2I6dOufUc5z6uermVGf69OlMnTq1yvElS5bg4+Nz1u/uzJKSkhwdgogdrUlxJlqP4my0Ji8cQQW7uHLXcwD8GnkL+zbsB/Y7Nqg/0XoUZ3Ihr8dyAw4UwM48E7vyTaTnmzAb9rsoQzwNYgMMYv2t/xvgkQfkUb4vnZR9jom7qWvMa7KoqKjGc50+GTVgwAA2b95MVlYW7777LjfddBNr166tkoRyRo8++qjdjqv8/Hxat27N4MGD8ff3d2Bk585sNpOUlMSgQYNwd3d3dDgiWpPiVLQexdloTV5ginJwe+/fmLBg6XIDXa6fQRcnKs/TehRnciGuR4vFYEfGcWvfpz05rNt3jMKScrs5Yc086R0VTO/oYHpHB9E6qHFvomhMmsKaPFkNVhNOn4zy9fWlffv2tG/fnt69exMbG8v777/Po48+SkREBJmZmXbzy8rKyMnJISIiAoCIiAgyMjLs5px8f7Y5p46fPNaiRQu7OT169Dht7J6ennh6elY57u7u3mgX10lN4TtI06I1Kc5E61GcjdbkBcBigW/vg+OHIDgGl+Gv4eLhcfbPOYDWoziTprweDcMg7WihreF4yp5scovsy6gCfdyJjw6hT0wI8TGhxDT3xeRESewLUWNek7WJ2+mTUX9msVhsfZji4+PJzc1lw4YN9OzZE4Bly5ZhsVjo1auXbc7jjz+O2Wy23ZikpCQ6duxIUFCQbU5ycjITJ060XScpKYn4+HgAoqKiiIiIIDk52ZZ8ys/PZ+3atdx9990N8bVFRERERE4v5Q3YtRhcPWHUPPBs5uiIRMQBDuQU2RqOr07LJvN4id24r4crvWzJpxDiIvxxcVHySRqeQ5NRBQUF7N692/Y+PT2dzZs3ExwcTEhICM899xzDhw+nRYsWZGVl8eabb3Lw4EFGjRoFQFxcHEOGDOHOO+9k9uzZmM1m7r33XkaPHk1kZCRgfSLf1KlTGT9+PJMnT2bbtm3MmjWLmTNn2q77wAMP0K9fP15++WWGDRvGJ598wvr165kzZw4AJpOJiRMn8uyzzxIbG0tUVBRTpkwhMjKSESNGNNwNExERERH5swO/wNKnra+HPg8tujk0HBFpOJn5xaTsyWb17mxW78niQM4Ju3FPNxcubRdEn5hQ4mNCuKhlAO6uLg6KVqSSQ5NR69evZ8CAAbb3J/srjRkzhtmzZ7Njxw4+/PBDsrKyCAkJ4bLLLmPVqlV06dLF9pn58+dz7733MnDgQFxcXLjxxht57bXXbOMBAQEsWbKEe+65h549exIaGsqTTz7JhAkTbHP69OnDggULeOKJJ3jssceIjY1l4cKFdO3a1TbnkUceobCwkAkTJpCbm8uVV17JokWL8PLyqs9bJCIiIiJyekU58PkdYJRDlxug5x2OjkhE6tGxwlLWpmezOs36a3dmgd24m4uJHq0DbWV3F7cJxMvd1UHRipyeQ5NR/fv3xzCM045/+eWXZz1HcHAwCxYsOOOcbt26sWrVqjPOGTVqlG3HVXVMJhPTpk1j2rRpZ41JRERERKTeGQYsvBvy/4DgaLhuFqjXi0iTUlBSxrr0HFvZ3fbD+Zz6I7TJBF0jA2xld5e1C8bXs9F145ELkFapiIiIiEhjlPIG7FxU2SfKq3E+rVlEKhWby9m471jFzqcsfv0jj3KL/QaODuF+trK73lEhBPg0zmbXcmFTMkpEREREpLE5sK6yT9SQ/wctujs0HBE5N+ZyC1v+yLX2fErLZsP+Y5SWWezmtA3xsZXd9Y4OJqyZWsVI46dklIiIiIhIY1KUA1/cAZYy6DISLh3v6IhEpIbKLQaph/NtZXe/pOdQVFpuNyfc35MrKnY+xceE0CrIx0HRitQfJaNERERERBoLw4Cv74G8AxAUBde9pj5RIk7MMAx2ZxbYyu7W7Mkh74TZbk6Qj7ut7K5PTAhRob6Y9Odamjglo0REREREGos1b8Hv34OrB9z0ofpEiTgZwzA4kHPCtvNpdVo2WQUldnOaebrRKzqY+JhQ+sSE0DG8GS4uSj7JhUXJKBERERGRxuCP9ZD0pPV1ovpEiTiLI3nFpOzJsvV9Oph7wm7cy92Fy9oFV+x8CqVrpD9uri4OilbEOSgZJSIiIiLi7E4cg88r+kR1vh4u+7ujIxK5YOUUlrJmT7Zt99Oeo4V2424uJi5uE2jb+XRxm0A83VwdFK2Ic1IySkRERETEmRkGLLwH8vZDUDsY/rr6RIk0oOPFZn5Jz7GV3aUezrcbdzFB15YBtp1Pl7ULwsdDP2qLnIn+hIiIiIiIOLM1b8Pv31n7RI2aB14Bjo5IpEk7UVrOhn3HbDufth7Mo9xi2M3pGN7M1nC8V1QIAT7uDopWpHFSMkpERERExFn9saGyT9Tg5yDyYsfGI9IElZZZ+PWP3IqeT1ls2p9LabnFbk67EB9b2V3v6BCaN/N0ULQiTYOSUSIiIiIizujEMfhiLFjMEDccLr/T0RGJNAnlFoOtB/NIPmjiiw83sH5fLifM5XZzWgR42cru4mNCaBno7aBoRZomJaNERERERJyNYcDX90JuRZ+o699QnyiRc2QYBjszCmxld2v2ZHO8uAxwBbIBCPb1sJXd9YkJpV2IDyb9mROpN0pGiYiIiIg4m7XvwI5vwcUd/jJXfaJEasEwDPZlF1U0HM9izZ5ssgpK7eb4ebrRzqeU6+PjuKpDGB3CmuHiouSTSENRMkpERERExJkc3ABLnrC+TnwOWl7i2HhEGoHDeScqej5lk5KWxaG8YrtxL3cXLmsXTJ+Kvk8dmnuzZPEirolvi7u7mo+LNDQlo0REREREnMWJXPh8bEWfqOvg8gmOjkjEKWUVlLBmz8nkUzbpWYV24+6uJi5uE2Qru+veOgBPN1fbuNlsbuiQReQUSkaJiIiIiDgDw4BvKvpEBbaF4eoTJXJS3gkzv6TnsDoti5S0bHYcOW437mKCi1oFViSfQri0bTDeHq6nOZuIOJqSUSIiIiIizuCXOZD6P2ufqFFzwTvQ0RGJOExRaRnr9x6zld1tPZiHxbCf0ymima3s7vLoYPy9VG4n0lgoGSUiIiIi4mgHN8Lix62vBz8LLXs6Nh6RBlZSVs7m/bm2srtNB45hLrfPPkWH+lY88S6U3tHBhPh5OihaETlfSkaJiIiIiDjSqX2iOl0Lve5ydEQi9a6s3MK2Q/m2srt1e3MoNlvs5kQGeNGnvXXnU3xMCC0CvB0UrYjUNSWjREREREQcxTDgm/sgdx8EtoHr1SdKmiaLxeD3jOO2sru1e3I4XlJmNyfUz4P4irK7PjEhtAn2waQ/DyJNkpJRIiIiIiKO8su7kPqNtU/UX+aBd5CjIxKpE4ZhkJ5VaCu7S9mTTU5hqd0cfy83ekdbE0992ocSG+an5JPIBULJKBERERERRzi0CZZU9IkaNA1aqU+UNG4Hc0+QkpbN6t1ZrE7L5kh+sd24t7srl0cFV+x8CqVzpD+uLko+iVyIlIwSEREREWloxXnWPlHlpdBxGPS+29ERidTa0eMlrNmTbSu925tdZDfu4erCJW0DbU+869YqEA83FwdFKyLORMkoEREREZGGdLJP1LG9ENAGRrypPlHSKOSdMLPWlnzK5veM43bjri4murUKsO186tk2CC93VwdFKyLOTMkoEREREZGGtO492P41uLjBqLnqEyVOq6i0jHV7j9meeLftYB4Ww35O5xb+FT2fQrisXTDNvNwdE6yINCpKRomIiIiINJRDm2HxY9bXg6ZBq0sdGo7IqUrKytm0P9dWdrdpfy5lf8o+RTf35YqKsrte0SEE+3o4KFoRacyUjBIRERERaQjF+af0iboGev/T0RHJBa6s3MLWg3m2srt1e3MoKbPYzWkZ6G3b+RQfHUpEgJeDohWRpkTJKBERERGR+mYY8L/74Vg6BLSG69UnShqexWKw48hxW9nd2vQcCkrK7OaE+nlW9Hyy9n1qHeyNSWtVROqYklEiIiIiIvVt/fvw21fWPlF/mQs+wY6OSC4AhmGwJ6vQVnaXkpbNsSKz3ZwAb3d6RwfbnnjXPsxPyScRqXdKRomIiIiI1KfDv8KiR62vE56G1pc5NBxp2v44VmQru1udlkVGfonduI+HK5dHBdt2PsW18MfVRcknEWlYSkaJiIiIiNSXU/tEdRgK8fc6OiJpYjKPF5NiSz5lsz+nyG7cw82Fnm2CbH2furUKxN3VxUHRiohYKRklIiIiIlIfDAP+9wDk7LH2iRrxlvpEyXnLLSplzZ4cUtKyWJ2Wza7MArtxVxcT3VsF2MruLmkbhJe7q4OiFRGpnpJRIiIiIiL1YcNc+O3Lij5RH6hPlJyTgpIy1u3NsZXd/XYoH8OoHDeZoHMLf1vZ3WVRwfh56sc8EXFu+ltKRERERKSuHd4CP/zb+nrgU9D6csfGI41GsbmcjfuP2crufj2QS5nFsJvTPszP9sS7XlEhBPl6OChaEZFzo2SUiIiIiEhdKjle0SeqBDoMUZ8oOSNzuYUtf+TZyu7W7ztGaZnFbk7rYG/6RIfSp30I8dEhhPl7OShaEZG6oWSUiIiIiEhdMQz430TISQP/VjDibXBRs2ipZLEYbD+cbyu7+yU9h8LScrs5Yc08bWV38TEhtA72cVC0IiL1Q8koEREREZG6smEebPsCTK7qEyUAGIZB2tECVqdls3p3NmvSs8ktMtvNCfRxJz7aWnYXHxNKTHNfTGp2LyJNmJJRIiIiIiJ14chW+GGy9XXCU9Cml2PjEYc5kFPE6oqyu9Vp2Rw9XmI37uvhSi9b8imEuAh/XFyUfBKRC4eSUSIiIiIi5+vUPlGxgyH+PkdHJA0oI7/YVna3Oi2bP46dsBv3dHPh0nZBtrK7i1oG4O6q8k0RuXApGSUiIiIicj5O9onK3g3+LWHEbPWJauKOFZayZk92xc6nLNKOFtqNu7mY6NE60FZ2d3GbQLzcXR0UrYiI81EySkRERETkfGz80L5PlG+IoyOSOna82My6vTms3m1NQKUeyccwKsdNJugaGWAru7usXTC+nvpRS0TkdPQ3pIiIiIjIuTqyrbJP1MAp0Ka3Y+OROlFsLmfDvmO2srstf+RRbjHs5nQI97OV3fWOCiHAx91B0YqIND5KRomIiIiInIuS4/D5GCgrhvaDoM8Djo5IzpG53MKvB3JtZXcb9+VSWm6xm9M2xMdWdtc7OpiwZl4OilZEpPFTMkpEREREpLYMA759yNonqlkkjHxHfaIakXKLwfZD+badT+v25lBUWm43J9zfkysqdj7Fx4TQKsjHQdGKiDQ9tU5GGYbBhg0b2Lt3LyaTiaioKC6++GJMJj2KVEREREQuEJv+A1s/U5+oRsIwDHZlFrB6tzX5tGZPNvnFZXZzgnzcbWV3fWJCiAr11c84IiL1pFbJqOXLlzN+/Hj27duHUdGx72RC6oMPPqBv3771EqSIiIiIiNPI+A2+n2R9ffUT0DbesfFIFYZhsD+nqKLsLpuUtGyyCkrs5jTzdKNXdDDxMaH0iQmhY3gzXFyUfBIRaQg1Tkbt3r2ba6+9ll69ejFz5kw6deqEYRhs376d1157jWuuuYYtW7YQHR1dn/GKiIiIiDhOSQF8drJPVAJcMdHREUmFI3nFtrK7lLRsDuaesBv3cnfhsnbBFTufQuka6Y+bq0orRUQcocbJqFdffZXevXuTnJxsd7xTp06MHDmShIQEZs6cyeuvv17nQYqIiIiIOJxhwHcPQfYuaNZCfaIcLLughDV7clidlkVKWjZ7sgrtxt1dTVzcOshWdtejTSCebq4OilZERE5V42TUihUrmD59erVjJpOJiRMn8uijj9ZZYCIiIiIiTmXTx7DlUzC5VPSJCnV0RBeU/GIzv+zJsT3xbseR43bjLia4qGWArezu0nZB+HjoeU0iIs6oxn8779+/n4suuui04127dmXfvn11EpSIiIiIiFPJ2F7ZJ2rA49C2j2PjaWTKLQZr03PYkGUiJD2H+PZhuJ6lP9OJ0nLW78ux9X3a+kcuFsN+TsfwZradT72iQwjwdq/HbyEiInWlxsmogoICfHxO/zhTHx8fioqK6iQoERERERGnUVIAn4+BshMQczVc+ZCjI2pUFm07zNT/bedwXjHgyke71tMiwIunruvMkK4tbPNKyyz8+kcuq3dn83NaFpv351JabrE7V7sQH9vOp97RITRv5tnA30ZEROpCrfatbt++nSNHjlQ7lpWVVScBiYiIiIg4le//BVk7K/pEzVGfqFpYtO0wd3+8kT9taOJIXjF3f7yRyUM7AbA6LZt16TmcMJfbzWsR4GVrOB4fE0LLQO8GilxEROpTrZJRAwcOxDD+/H8l1p5RhmFgMulRqCIiIiLShGyaD7/+n7VP1I3vg19zR0fUaJRbDKb+b3uVRBRgO/b8Dzvsjof4etC7ouyuT0wo7UJ89DOGiEgTVONkVHp6en3GISIiIiLiXDJT4buHra8HPAbtrnBsPI3ML+k5FaV5Z3ZJmyCu7daCPu1D6BDWDJez9JISEZHGr8bJqLZt29ZnHCIiIiIizqO0ED6r6BMVPQCufNjRETUah/NOkJyayYK1NXu40Zg+bbm+R8t6jkpERJxJjZNRWVlZFBYW2iWlfvvtN1566SUKCwsZMWIEt9xyS70EKSIiIiLSoL6fBFm/g18E3PCu+kSdgcVisO1QHktTM0lOzeC3Q/m1+nxYM696ikxERJxVjZNR9913H5GRkbz88ssAZGZmctVVVxEZGUlMTAxjx46lvLyc2267rd6CFRERERGpd5vmw+b5FX2i3lOfqGqcKC3n591ZJO/IIDk1k8zjJbYxkwkubh3IgE5hfLh6L9kFpdX2jTIBEQFeXB4V3GBxi4iIc6hxMmrNmjXMmzfP9v6jjz4iODiYzZs34+bmxksvvcSbb76pZJSIiIiINF6ZO6xPzwPo/xhEXeXYeJxIRn4xyRW7n37anUVJmcU25uPhSt/Y5gyMC2NApzBC/TwBiA3z4+6PN2ICu4TUya5QT13XGVf1iBIRueDUOBl15MgR2rVrZ3u/bNkybrjhBtzcrKcYPnw406dPr/MARUREREQaRGkhfD4GzEUQ3R+uesjRETmUYRj8diifpanW3U9bD+bZjbcM9GZgXBgD48LpHR2Mp5trlXMM6dqCt/92CVP/t92umXlEgBdPXdeZIV1b1Pv3EBER51Pj4nd/f39yc3Nt73/55Rd69eple28ymSgpKanmk6e3cuVKrrvuOiIjIzGZTCxcuNA2ZjabmTx5MhdddBG+vr5ERkZy++23c+jQIbtz5OTkcOutt+Lv709gYCDjx4+noKDAbs6WLVu46qqr8PLyonXr1syYMaNKLJ9//jmdOnXCy8uLiy66iO+//95u3DAMnnzySVq0aIG3tzcJCQns2rWrVt9XRERERJzY94/A0R3gF17RJ6pqcqWpKzaXs2xHBo99tZX46cu49vWfeHXpLrYezMNkgh6tA/nX4A788MBV/DR5ANOu70q/Ds2rTUSdNKRrC36afDUfj7uU22PL+Xjcpfw0+WolokRELmA1Tkb17t2b1157DYvFwhdffMHx48e5+uqrbeM7d+6kdevWtbp4YWEh3bt3580336wyVlRUxMaNG5kyZQobN27kyy+/5Pfff2f48OF282699VZ+++03kpKS+Pbbb1m5ciUTJkywjefn5zN48GDatm3Lhg0bePHFF3n66aeZM2eObc7q1au5+eabGT9+PJs2bWLEiBGMGDGCbdu22ebMmDGD1157jdmzZ7N27Vp8fX1JTEykuPjsj6sVERERESe3+f9g88en9IkKc3REDSbzeDGf/LKfv3+4nounJTFu3noWrN3PkfxivN1dGdw5nBk3duOXxxJYeM8V3Ht1LHEt/DGZal5e5+pioldUMD1DDXpFBas0T0TkAlfjMr1nnnmGgQMH8vHHH1NWVsZjjz1GUFCQbfyTTz6hX79+tbr40KFDGTp0aLVjAQEBJCUl2R174403uPzyy9m/fz9t2rQhNTWVRYsWsW7dOi699FIAXn/9da655hpeeuklIiMjmT9/PqWlpXzwwQd4eHjQpUsXNm/ezCuvvGJLWs2aNYshQ4YwadIk23dNSkrijTfeYPbs2RiGwauvvsoTTzzB9ddfD1h7ZoWHh7Nw4UJGjx5dq+8tIiIiIk7k6O/wXUVJXr9/Q1Rfx8ZTzwzDYPvhfFv/p1//sC+/axHgxdWdwkjoHE58dAhe7hfeDjEREalfNU5GdevWjdTUVH7++WciIiLsSvQARo8eTefOnes8wFPl5eVhMpkIDAwEICUlhcDAQFsiCiAhIQEXFxfWrl3LyJEjSUlJoW/fvnh4eNjmJCYm8sILL3Ds2DGCgoJISUnhoYfsewIkJibaygbT09M5cuQICQkJtvGAgAB69epFSkrKaZNRJSUldqWL+fnWx9yazWbMZvN53QtHORl3Y41fmh6tSXEmWo/ibLQma8BchNtnt2MyF2Fp15fy+AegCd6vEnM5a/ceY9mOoyz7/ahd/yaAi1r6M6Bjc67u2JzOLZqdsuvJgtlsqXrCc6D1KM5E61GcTVNYk7WJvcbJKIDQ0FDbzqA/GzZsWG1OVWvFxcVMnjyZm2++GX9/f8DaVD0szH4LtZubG8HBwRw5csQ2Jyoqym5OeHi4bSwoKIgjR47Yjp0659RznPq56uZUZ/r06UydOrXK8SVLluDj43PW7+zM/rxrTcTRtCbFmWg9irPRmjy9Hvveo23ODordAljhN4qSRYsdHVKdOW6G346Z+O2YiR25JkotlaVx7i4GHQMMugRZfwV45MCJHPZt/p19m+s3Lq1HcSZaj+JsGvOaLCoqqvHcGiej/rxz6KSAgAA6dOjADTfcgKenZ40vXBtms5mbbroJwzB4++236+Ua9eHRRx+1u2/5+fm0bt2awYMH2xJqjY3ZbCYpKYlBgwbh7u7u6HBEtCbFqWg9irPRmjwz09bPcNu0EgMTbn+dy8B2jbs8zzAMdmYUsOx36+6nX//IwzAqx8ObedK/Y3Ou7tScPtHBDV5+p/UozkTrUZxNU1iTJ6vBaqLGyahNmzZVezw3N5fdu3czZcoUli1bRps2bWp88Zo4mYjat28fy5Yts0viREREkJmZaTe/rKyMnJwcIiIibHMyMjLs5px8f7Y5p46fPNaiRQu7OT169Dht7J6entUm6Nzd3Rvt4jqpKXwHaVq0JsWZaD2Ks9GarMbRnfCDtV+oqf+/cYsd6Nh4zlFJWTlr9+SQnJrB0tRMDuaesBvv2tKfgZ3CSYgLp2vL2jUdry9aj+JMtB7F2TTmNVmbuGucjFq+fPlpx/Lz87n11lv597//zYIFC2p88bM5mYjatWsXy5cvJyQkxG48Pj6e3NxcNmzYQM+ePQFYtmwZFovF1tMqPj6exx9/HLPZbLsxSUlJdOzY0daAPT4+nuTkZCZOnGg7d1JSEvHx8QBERUURERFBcnKyLfmUn5/P2rVrufvuu+vs+4qIiIhIAygtgs/HgLnQ2qy87yRHR1Qr2QUlLP/9KMmpGazceZTC0nLbmKebC1e0D2VgXBgDO4UTEeDlwEhFRESqV6ueUafj7+/PlClTGDVqVK0+V1BQwO7du23v09PT2bx5M8HBwbRo0YK//OUvbNy4kW+//Zby8nJbf6bg4GA8PDyIi4tjyJAh3HnnncyePRuz2cy9997L6NGjiYyMBOCWW25h6tSpjB8/nsmTJ7Nt2zZmzZrFzJkzbdd94IEH6NevHy+//DLDhg3jk08+Yf369cyZMwcAk8nExIkTefbZZ4mNjSUqKoopU6YQGRnJiBEjzvPuiYiIiEiDWjQZMreDbxjc8B64OPfT4gzDYFdmAUtTM0hOzWTj/mN25XfNm3kysFMYA+PCubJ9KN4ezv19RERE6iQZBdbm5jk5ObX6zPr16xkwYIDt/cn+SmPGjOHpp5/mm2++AahSCrd8+XL69+8PwPz587n33nsZOHAgLi4u3Hjjjbz22mu2uQEBASxZsoR77rmHnj17EhoaypNPPsmECRNsc/r06cOCBQt44okneOyxx4iNjWXhwoV07drVNueRRx6hsLCQCRMmkJuby5VXXsmiRYvw8tK/NomIiIg0Gls+g40fASa48V1oFn7WjzhCaZmFX9JzrAmoHRkcyLEvv+vcwp+EOGsC6qKWAbi4OL78TkREpKbqLBm1Zs0aYmJiavWZ/v37Y5z6zzp/cqaxk4KDg89aGtitWzdWrVp1xjmjRo06484uk8nEtGnTmDZt2lljEhEREREnlLUL/jfR+rrfIxDd35HRVHGssJTlv2eSnJrJyp1HOV5SZhvzcHOhT0wIA+PCGdgpjMhAbwdGKiIicn5qnIzasmVLtcfz8vLYsGED/+///T+eeuqpOgtMRERERKTOmE/AZxV9otpdBf0mOzoiDMMg7WgBS1MzSU7NYMO+Y1hO+bfYUD8Prj6l/M7Xs87+HVlERMShavz/aD169MBkMlW7Wyk0NJSHHnqIf/7zn3UanIiIiIhInfhhMmT+Br7N4UbH9Ykyl1tYl55jTUDtyGBfdpHdeKeIZiTEhTMwLozurQJVficiIk1SjZNR6enp1R739/e3PZVORERERMTpbPkcNn4ImOCGd6FZRINePreolBW/H2VpagY/7jzK8eJTyu9cXegVHcygzuFc3SmMVkE+DRqbiIiII9Q4GdW2bdv6jENEREREpO5l7YJvJ1pf950EMQPOOL2u7DlaQHJqJktTM1i/7xjlp9TfBft6MKBjGAlxYVzVoTl+Kr8TEZELjP6fT0RERESaJvMJ+HwslBZY+0T1/3e9Xaqs3ML6fcdITs0gOTWTPVmFduMdwv0YGBdOQlwYPVoH4aryOxERuYApGSUiIiIiTdOiRyFjG/iEWsvz6rhPVN4JMz/uPEpyagYrfj9K3gmzbczd1USvqBAGxoWREBdO62CV34mIiJykZJSIiIiIND1bv4ANc7H2iZoD/i3q5LR7swpZWrH7ad3eHMpOKb8L8nFnQEfr0+/6dgilmZd7nVxTRESkqVEySkRERESalqzd8L8HrK+vehjaDzznU5WVW9i4P5fk1AyWpmaQdtS+/K59mJ9t99MlbVR+JyIiUhNKRomIiIhI02EuruwT1fYK6P9orU+RX2xm5c6jJKdmsvz3THKLKsvv3FxMXB4VbOv/1DbEtw6DFxERuTDUOhlVXl7OzJkz+eyzz9i/fz+lpaV24zk5OXUWnIiIiIhIrSx+FDK2WvtE3fg+uNbsP3f3ZxdZy+92ZLB2j335XYC3OwM6Nq8ov2tOgLfK70RERM5HrZNRU6dO5b333uPhhx/miSee4PHHH2fv3r0sXLiQJ598sj5iFBERERE5u23/hfUfWF/f8M4Z+0SVWww27T/G0tRMklMz2JVZYDce3dyXhLhwBnYKo2fbINxcXeozchERkQtKrZNR8+fP591332XYsGE8/fTT3HzzzcTExNCtWzfWrFnD/fffXx9xioiIiIicXnYafHNqn6iEKlMKSspYufMoSyuefpdTWLnD39XFxGXtgqwJqLhwokJVficiIlJfap2MOnLkCBdddBEAfn5+5OXlAXDttdcyZcqUuo1ORERERORszMXw+RgoPQ5t+kD/x2xDB3KKSE7NIHlHJmv2ZGMuryy/8/dyo3/HMAbGhdG/QxgBPiq/ExERaQi1Tka1atWKw4cP06ZNG2JiYliyZAmXXHIJ69atw9PTsz5iFBERERE5vcWPwZGt4BOC5Yb32HzwuPXpd9sz+T3juN3UqFBfBnYKY2BcOJe2C8Jd5XciIiINrtbJqJEjR5KcnEyvXr247777+Nvf/sb777/P/v37efDBB+sjRhERERGR6m37Eta/D8B7of9m9hvbySqoLL9zMcGlbYMZGBdGQudwYpr7OSpSERERqVDrZNTzzz9ve/3Xv/6Vtm3bsnr1amJjY7nuuuvqNDgRERERkeoczD3BuvXrSPz5HryBN8uG8+LOlkApzTzd6NuxOQkV5XdBvh6ODldEREROUetk1MqVK+nTpw9ubtaP9u7dm969e9d5YCIiIiIiJ1ksBlsO5lnL71Iz2XM4i/96PI23SxG/WDryRbMx3NG5BQlx4VzWLhgPN5XfiYiIOKtaJ6MGDBjA4cOHCQsLq494REREREQAKCot46ddWSSnZrLs90yOHi+xjU1zn09Xl72ccAuk+c3/YVl0B0wmkwOjFRERkZqqdTLKMIyzTxIREREROQeH806QnJpJcmoGP6dlU1pmsY35ebrRt0Mot/tvpveGJAC8//oeUTEdHRWuiIiInINaJ6MAUlJSCAoKqnasb9++5xWQiIiIiFw4LBaDbYfyWFqRgPrtUL7deKsgbxLiwhkYF0avqBA88vfCO09bB6+YCLGDGjpkEREROU/nlIwaOXJktcdNJhPl5eXnFZCIiIiING0nSsv5eXcWyTsySE7NJPOU8juTCS5uHcjAuHAS4sLpEO5XWX5XVgKfj4WSfGjdG65+wjFfQERERM7LOSWjjhw5op5RIiIiIlJjGfnFp5TfZVFsriy/8/FwpW9scwbGhTGgUxihfp7Vn2TJE3D4V/AOhr+8D67uDRS9iIiI1KVaJ6PUGFJEREREzsYwDH47lM/SVOvup60H8+zGWwZ6MzAujIFx4fSODsbTzfXMJ9z+Nfwyx/p65DsQ0KqeIhcREZH6pgbmIiIiIlInis3lrE7LYmlqJstSMzmSX2wbM5mge6tAEioSUJ0imtX8Hzlz0uHre62vr3gAOgyuh+hFRESkodQ6GWWxWM4+SUREREQuCJnHi1m+I5Ok7Zn8vDuLE+bK/qHe7q5cFRtKQlw4AzqF0bzZacrvzsSuT1QvuHpK3QUvIiIiDnFOPaMAtm/fzv79+yktLbU7Pnz48PMOSkRERESck2EYpB4+TnJqBkt3ZPLrgVy78RYBXlzdKYyEzuHER4fg5X6W8ruzSXoSDm8G7yC4UX2iREREmoJaJ6P27NnDyJEj2bp1KyaTyVa2d3KbtZ6mJyIiItK0FJvLWbMn29aA/FBesd14t1YBDOwUzsC4MLpE+tddj9Ht38Da2dbXI2ZDYOu6Oa+IiIg4VK2TUQ888ABRUVEkJycTFRXFL7/8QnZ2Ng8//DAvvfRSfcQoIiIiIg0sq6CEZTusyadVu7IoKq38B0cvdxeubB/KwLhwru4URri/V90HcGqfqD73QcchdX8NERERcYhaJ6NSUlJYtmwZoaGhuLi44OLiwpVXXsn06dO5//772bRpU33EKSIiIiL1yDAMfs84TnJqJktTM9h8IJdTn1sT7u/J1Z3CSYgL44r2oedffncmZaXwxTgoyYNWl8HAp+rvWiIiItLgap2MKi8vp1mzZgCEhoZy6NAhOnbsSNu2bfn999/rPEARERERqR8lZeWs3ZNj7f+UmsnB3BN2411b+jOwUzgJceF0bVmH5Xdnk/QkHNoIXoHwl7nqEyUiItLE1DoZ1bVrV3799VeioqLo1asXM2bMwMPDgzlz5hAdHV0fMYqIiIhIHckuKGH570dJTs1g5c6jFJ5Sfufp5sIV7UMZGBfGwE7hRATUQ/nd2aT+D9a+bX09Un2iREREmqJaJ6OeeOIJCgsLAZg2bRrXXnstV111FSEhIXz66ad1HqCIiIiInDvDgF0ZBazYbW1AvnH/Mbvyu+bNPBnYKYyBceFc2T4Ub496LL87m2N74et7rK/j74WOQx0Xi4iIiNSbWiejEhMTba/bt2/Pjh07yMnJISgoqOG2bouIiIjIaZWWWfglPYclvx3mu02uZK9ZbTfeuYU/CXHWBNRFLQNwcXGC/4YrK4XP74Diij5RCU87OiIRERGpJ7VORlUnODi4Lk4jIiIiIufoWGEpy3/PJDk1k5U7j3K8pKxixISHmwt9YkIYGBfOwE5hRAZ6OzTWai19+pQ+UR+oT5SIiEgTVutk1CWXXHLG8Y0bN55zMCIiIiJSM4ZhkHa0gKWpmSSnZrBh3zEsp5Tfhfp50L9DcwIK93PfqKsJ9HPCBNRJO76DNW9aX494GwLbODYeERERqVe1TkZt3ryZhx9+GD8/v/qIR0REREROw1xuYd3eHJZuzyR5Rwb7sovsxjtFNCMhLpyBcWF0bxVIeXkZ33+/D1/POtkMXz+O7YOFd1tfx98Lna5xbDwiIiJS787pv0wmTZpEWFhYXcciIiIiIn+SV2Rmxc5MlqZmsuL3TI4Xl9nGPFxd6BUdzKDO4VzdKYxWQT52ny0v//PZnExZKXwxztonqmVPGPiUoyMSERGRBlDrZJTJZFKjchEREZF6tOdoAcmpmSxNzWD9vmOUn1J/F+zrwYCOYSTEhXFVh+b4OfOup7NJngoH14NXAPxlLrh5ODoiERERaQC1/q8XwzDo0KEDHh4e+Pr6EhkZycUXX8yYMWO49NJL6yNGERERkSatrNzC+n3HSE7NIDk1kz1ZhXbjHcL9GBgXTkJcGD1aB+HqDE+/O187voeUN6yvR7wNQW0dG4+IiIg0mFono+bOnYthGJjNZvLz8zl06BDr1q2jd+/eLFy4kGuvvbY+4hQRERFpUvJOmPlx51GSUzNY8ftR8k6YbWPuriZ6RYUwMC6MhLhwWgf7nOFMjVDu/so+Ub3/CZ2GOTYeERERaVC1TkaNGTOm2uOPP/4406ZNUzJKRERE5DT2ZhWytGL307q9OZSdUn4X5OPOgI5hDIwLp2+HUJp5uTsw0npUVgqf3wHFuRB5CSRMdXREIiIi0sDqrMnAQw89RHh4eF2dTkRERKTRKyu3sHF/LsmpGSxNzSDtqH35XfswP9vup0vaNJHyu7M52SfKMwBGqU+UiIjIhajOklEhISHcf//9dXU6ERERkUYpv9jMyp1HSU7NZPnvmeQWVZbfubmYuDwq2Nb/qW2IrwMjdYDffzilT9SbENTOoeGIiIiIY9Q6GXXDDTeccfzLL78852BEREREGqP92UXW8rsdGazdY19+F+DtzoCOzSvK75oT4N1Ey+/OJvcAfPUP6+ted0PcdY6NR0RERBym1smohQsXctNNN+Ht7V0f8YiIiIg4vXKLwab9x1iamklyaga7MgvsxqOb+5IQF87ATmH0bBuEm6uLgyJ1EuVm+OJkn6iLYdA0R0ckIiIiDnROZXqvvfYaYWFhdR2LiIiIiNMqKClj1c6jJFU8/S6nsNQ25upi4rJ2QdYEVFw4UaEXWPnd2SRPgz/WWftE/UV9okRERC50ddYzSkRERKSp+eNYEcmpmSxNtZbflZZbbGP+Xm707xjGwLgw+ncII8DnAi2/O5vfF8Hq16yvr38DgqMcG4+IiIg4nJJRIiIiIhUsFoPNf1iffpecmsmOI8ftxtuF+FQ0Hw/n0nZBuF/o5Xdnk/cHLKzoE3X5XdB5uGPjEREREadwTsmo9957Dz8/v2rH9EQ9ERERaUwKS8pYtSuL5NQMlv+eSVZBZfmdiwkubRvMwLgwBsaFE9PcF5PJ5MBoG5FyM3wxDk4cgxY9YPAzjo5IREREnEStk1Ft2rTh3XffrXbMZDIpGSUiIiJO72DuCZalZrA0NZOUtGy78rtmnm707dichIryuyBf9Tc6J8uegQNrwdMfRs0DN09HRyQiIiJOotbJqL1799ZDGCIiIiL1x2Ix2HIwj+SKBFTq4Xy78TbBPgyMCyMhLpzL2gXj4abyu/Oycwn8PMv6Wn2iRERE5E/Oq2eUYRgA2q4uIiIiTqeotIyfdmWRnJrJst8zOXq8xDbmYoJL2gRV9H8Ko32Yn/57pq7k/QFf3WV9ffkE6Hy9Y+MRERERp3NOyaj333+fmTNnsmvXLgBiY2OZOHEif//73+s0OBEREZHaOJx3guTUTJJTM1idlk1JWWX5nZ+nG307hDKwUzgDOoURrPK7ulduhi/Gw4kcaNEdBj/r6IhERETECdU6GfXkk0/yyiuvcN999xEfHw9ASkoKDz74IPv372fatGl1HqSIiIhIdSwWg22H8lhakYD67ZB9+V2rIG8S4sIZGBdGr6gQld/Vt+XPwYE16hMlIiIiZ1TrZNTbb7/Nu+++y80332w7Nnz4cLp168Z9992nZJSIiIjUqxOl5fy8O4vkHRkkp2aSeUr5nckEF7cOrCi/C6dDuMrvGsyuJPhppvX18NcgONqx8YiIiIjTqnUyymw2c+mll1Y53rNnT8rKyuokKBEREZFTZeQX28rvfk7LothcWX7n4+FK39jmDIwLY0CnMEL9tBunweUdhC8nWF9fdid0GenYeERERMSp1ToZddttt/H222/zyiuv2B2fM2cOt956a50FJiIiIhcuwzD47VA+S1Otu5+2HsyzG28Z6M3AuDAGxoXTOzoYTzdXB0UqlJfBfyv6REV0U58oEREROatzbmC+ZMkSevfuDcDatWvZv38/t99+Ow899JBt3p8TViIiIiKnU2wuJyUtm6WpGSzbkcnhvGLbmMkE3VsFklCRgOoU0Uzld85i+XOwPwU8mln7RLl7OToiERERcXK1TkZt27aNSy65BIC0tDQAQkNDCQ0NZdu2bbZ5+g9EEREROZv/396dx0VV738cf82wo4KgApJomuaeayruC4pLmua1bNVyKZfK7JfpzUxbbtvNsnJp1TZvZYtZmomapYmaa+6WuaaACYqyw5zfHyOjkyigwJmB9/M+fDgz5ztnPsP9hsOb7/dzEs6k8+OeBJbvTmDN73+TlpXjOObn5UGHOpWJqm+/+l2VCtp+53J+Xw5rzv3ysd/rUOk6c+sRERERt1DoMOrHH38sshf/+eefefnll9m0aRPHjx/n66+/pn///o7jX331FXPmzGHTpk0kJiayZcsWmjZt6nSO9PR0Hn30UT799FMyMjKIjo5m1qxZhIaGOsYcPnyYUaNG8eOPP1K+fHmGDBnC888/j6fn+be/atUqxo8fz86dO4mIiGDy5MkMHTrU6bVmzpzJyy+/TFxcHE2aNOGNN96gVatWRfb1EBERKe0Mw2D38TOs2B3P8j0JbDtyyul41UBfutYLIapBKJG1KuHrpe13Liv5GHx9rk9Uy2HQ6BZz6xERERG3cUXb9IpKSkoKTZo04b777uOWWy7+AJOSkkL79u259dZbGTFiRJ7neOSRR1i8eDELFiwgMDCQsWPHcsstt/DLL78AkJOTQ58+fQgLC2Pt2rUcP36ce+65By8vL/7zn/8AcODAAfr06cMDDzzAJ598wooVKxg+fDhVq1YlOjoagM8++4zx48czZ84cWrduzWuvvUZ0dDR79+4lJCSkmL5CIiIi7i89K4d1f550NCA/dsH2O4AbqgXSrV4o3eqH0DA8QKur3UFONnwxDFJPQlhjiP6P2RWJiIiIG7miMGrjxo18/vnnHD58mMzMTKdjX331VYHP06tXL3r16nXJ43fffTcABw8ezPP46dOnee+995g/fz5du3YFYO7cudSvX59169bRpk0bli1bxq5du1i+fDmhoaE0bdqUZ555hscff5ypU6fi7e3NnDlzqFmzJq+88goA9evXZ82aNbz66quOMGr69OmMGDGCe++9F4A5c+awePFi3n//fSZOnFjg9ywiIlIW/H02g5V77OHT6t//JjXz/PY7Xy8r7WtXplv9ULrWCyE0QD2G3M6q/8DhteBdHgZ9oD5RIiIiUiiFDqM+/fRT7rnnHqKjo1m2bBk9evRg3759xMfHM2BAyV7Gd9OmTWRlZREVFeV4rF69elSvXp3Y2FjatGlDbGwsjRs3dtq2Fx0dzahRo9i5cyfNmjUjNjbW6Ry5Y8aNGwdAZmYmmzZtYtKkSY7jVquVqKgoYmNjL1lfRkYGGRkZjvvJyckAZGVlkZWVdVXv3Sy5dbtr/VL6aE6KKynL89EwDPbFn2Xl3hOs3HuCbUdPYxjnj4dW8KFz3Sp0rVeFtrWCnbbflcWvV0kpjjlp2b8Sj9XTsQDZvadjBFQH/X8oBVCWv0eK69F8FFdTGuZkYWovdBj1n//8h1dffZUxY8ZQoUIFZsyYQc2aNbn//vupWrVqYU93VeLi4vD29qZixYpOj4eGhhIXF+cYc2EQlXs899jlxiQnJ5OWlkZSUhI5OTl5jtmzZ88l63v++eeZNm3aRY8vW7YMf3//gr1JFxUTE2N2CSJONCfFlZSV+Zhtgz+SLexIsrAzyUJihvP2umrlDBoFGTQKslGtXDYWSwrp+w+ycr9JBZdhRTUnfTMT6bz3STwxOFC5K78d8oVDS4rk3FJ2lJXvkeIeNB/F1bjznExNTS3w2EKHUfv376dPnz4AeHt7k5KSgsVi4ZFHHqFr1655hi9l1aRJkxg/frzjfnJyMhEREfTo0YOAgAATK7tyWVlZxMTE0L17d7y8vMwuR0RzUlxKWZiPJ1My+WnfCVbuOcGaP06ScsH2Ox9PK5G1gularwpd6lYhTNvvTFekc9KWjccnA7Bmn8EIaUS1ez+kmqf+P5aCKwvfI8V9aD6KqykNczJ3N1hBFDqMCgoK4syZMwBcc8017Nixg8aNG3Pq1KlCpWBFISwsjMzMTE6dOuW0Oio+Pp6wsDDHmA0bNjg9Lz4+3nEs9+/cxy4cExAQgJ+fHx4eHnh4eOQ5JvccefHx8cHH5+LLUHt5ebnt5MpVGt6DlC6ak+JKStN8NAyD3xPOsnx3PCt2J7D5cJLT9rsqFXzoVi+EbvVDaVe7Ev7epl4bRS6hSObkyhfhcCx4l8dy6wd4+VUomuKkzClN3yPF/Wk+iqtx5zlZmLoL/YmxY8eOxMTE0LhxYwYNGsTDDz/MypUriYmJoVu3boU93VVp0aIFXl5erFixgoEDBwKwd+9eDh8+TGRkJACRkZE899xzJCQkOK56FxMTQ0BAAA0aNHCMWbLEeYl5TEyM4xze3t60aNGCFStW0L9/fwBsNhsrVqxg7NixJfFWRURESkxmto0NBxLtAdSeeI4kpjkdb1A1gKj69gCq8TWBWK26+l2p98cK+Pm/9tt9Z0Dl2ubWIyIiIm6t0GHUm2++SXq6/ZLMTzzxBF5eXqxdu5aBAwcyefLkQp3r7Nmz/PHHH477Bw4cYOvWrQQHB1O9enUSExM5fPgwx44dA+xBE9hXMoWFhREYGMiwYcMYP348wcHBBAQE8OCDDxIZGUmbNm0A6NGjBw0aNODuu+/mpZdeIi4ujsmTJzNmzBjHqqUHHniAN998kwkTJnDfffexcuVKPv/8cxYvXuyobfz48QwZMoSWLVvSqlUrXnvtNVJSUhxX1xMREXFnSSmZ/Lg3gRW7E/h53wnOZGQ7jnl7Wml7XSW61Q+lW70Qwiv6mViplLjk4/DVSMCAFkOh8b/MrkhERETcXKHDqODgYMdtq9XKxIkTr/jFN27cSJcuXRz3c/srDRkyhHnz5rFo0SKnsGfw4MEAPPXUU0ydOhWAV199FavVysCBA8nIyCA6OppZs2Y5nuPh4cF3333HqFGjiIyMpFy5cgwZMoSnn37aMaZmzZosXryYRx55hBkzZlCtWjXeffddoqOjHWNuu+02Tpw4wZQpU4iLi6Np06YsXbr0oqbmIiIi7sAwDPafSGHFue13Gw8lYrtg+13l8t50Pbf9rn3typTz0fa7MiknG74cDql/Q2gj6PmC2RWJiIhIKXBFnyzXrFlDTk4OnTp1Yu/evSxevJjmzZvTuXPnQp2nc+fOGBc2nviHoUOHMnTo0Muew9fXl5kzZzJz5sxLjqlRo8ZF2/DyqmXLli2XHTN27FhtyxMREbeVlWPj14OJrNidwIrd8Rw86dzrsV5YBaLqh9KtfghNqlXU9juBn16EQ2vAuzwMmgdeWhUnIiIiV6/QYdQrr7zCpEmT8PLy4sknn+SVV14hIiKCiRMnMmfOHO67777iqFNERESuwOnULFbtS2D57gRW7U3gTPoF2+88rLSuFUz3BqF0rRdCtSB/EysVl7P/R/j5Zfvtm16DynVMLUdERERKj0KHUbNnz+ajjz6ibt26jt5Jo0eP5vXXX+e1115TGCUiImKyP0+cZcXuBJbvjmfjoSRyLth/F1zOmy51Q4iqH0KH66tQXtvvJC9n4uCrEYABzYfADYPMrkhERERKkUJ/Aj169Cjt2rWjWrVqeHp60rVrVwD69u3Lv//97yIvUERERC4vO8fGxkNJjv5Pf/6d4nT8+tDydKsfSlT9EJpGBOGh7XdyObYce5+olBMQ0hB6vWh2RSIiIlLKFDqMCgwM5NSpU1SrVo0hQ4ZQuXJlADIzMx1XpxMREZHidToti5/2nWDF7nhW7T3B6bQsxzEvDwuta1aiW/0QouqHEhGs7XdSCD+9BAdXg1c5uPUD9YkSERGRIlfoMCo6OpojR47QqFEjZs+e7Xh83bp13HDDDUVanIiIiJx38O8Ulp9b/fTrwUSyL9h+F+TvRZe69qvfdby+MhV8vUysVNzWn6vsTcsB+r6mPlEiIiJSLAodRn344Yd5Pt6/f39uvvnmqy5IRERE7LJzbGw+fIoVu+NZvjue/Sect9/VDinvWP3UvLq238lVOhMPX57rE9XsbrjhVrMrEhERkVKqyLqWBgYGFtWpREREyqzk9Cx+3neCFbsT+HFvAqdSz2+/87RaaFUz2NH/qUalciZWKqWKLQe+Gg4pCRDSAHq9ZHZFIiIiUorpEjoiIiImO3wy1b79bk886/903n4X6OdFl7pVzm2/q0Kgn7bfSTH4+WU48LO9T9SgD8BbfcZERESk+CiMEhERKQI5NoP1BxLZ9LeFSgcSiawdcsltczk2g61Hkli+O4EVu+PZF3/W6XitKuWIqh9Kt3ohtKgRhKeHtSTegpRVf/4Eq16w375pOlS53tx6REREpNRTGCUiInKVlu44zrRvd3H8dDrgwYe/b6RqoC9P9W1Az0ZVATibkc3qfSdYfm77XWJKpuP5HlYLN14bZA+g6odSs7K230kJORMPXw7H3ifqLmgy2OyKREREpAxQGCUiInIVlu44zqiPN2P84/G40+k88PFmbmsZwbHTaaz/M5HMHJvjeICvJ53rhtCtfgidrw8h0F/b76SE2XLgqxH2PlFV6kOvl82uSERERMqIQodRr7/++mWPP/TQQ1dcjIiIiDvJsRlM+3bXRUEU4Hjss41HHI9dW8n/XPPxUFpeG4SXtt+JmX7+Lxz4Cbz84Vb1iRIREZGSU+gwaty4cVSrVg0PDw8Ajhw5QtWqVfH09MRisSiMKs1sOVgOreGaxFgshwKgVkewephdlYhIiTqdmsXhxFQOJ6ay5o8T57bmXd4drSK4r30trqtSDosl7z5SIiXqwM/w07k+UX2mQ5W65tYjIiIiZcoVbdPbuHEjISEhAFSoUIGffvqJWrVqFWlh4mJ2LYKlj+OZfIyWAIdmQ0A49HwRGvQzuzoRkSKTkZ3DX0lpHE5M5UhSGkcSUzlyLnw6nJjKmfTsQp+zda1K1A4pXwzVilyBswn2PlGGDZreBU1vN7siERERKWMKHUZ5eHiQk5PjuJ+Tk0NsbKzCqNJs1yL4/B7450aU5OP2x2/9UIGUiLgNwzA4cSaDI0nnAqaTaY7bRxJTiUtOx8hr390FqlTwISLIDz8vD37ZfzLf1wyp4FtE1Ytcpdw+UWfjoUo96P2S2RWJiIhIGVToMKpatWqsWLGCu+66i7Vr12Kz2Rg/fjw7d+7kueee0/aD0saWA0sf56IgCs49ZoGlE6FeH23ZExGXkZKRbQ+YTtpDpqO5K50SUzmSlEp6lu2yz/fz8qB6sD8Rwf5EBPtRPdjfcb9akB/+3vZ/PnNsBu1fXEnc6fQ8v0tagLBAX1rVDC76NylyJVZPhz9X2ftEDfoAvHXlRhERESl5hQ6j7r//foYOHcqzzz7LwYMHGTFiBBMmTGDgwIFs2LCB5cuXF0edYpZDayH52GUGGJD8l31czQ4lVpaIlG3ZOTaOn053hEv2LXTnt9SdTMm87POtFqga6HcuYPK7IHiyh06VynkX6JcrHlYLT/VtwKiPN2PBObbPffZTfRvgYdUvasQFHFwDq/5jv93nFQipZ249IiIiUmYVOoyaOHEizZs3Z9u2bdSsWZOBAwdisVhYvXo1Dz/8cHHUKGY6G1+040RECsAwDE6daxR+4Ra6I4n2FU7HTqWRbbv8XrqK/l5EBPnnucKpaqAf3p5FcyW7no2qMvuu5kz7dpdTM/OwQF+e6tuAno2qFsnriFyVlBPwxTB7n6gmd0DTO8yuSERERMqwK2pg3qNHD3r06OH0mI+PD3PmzCmSosSFlA8t2DgvXQ5aRAonPSuHv05dsH0u8fwKp6OJqZzJuHyjcG8PK9WC/Byrmf65winA16uE3ok9kOreIIzYPxJYtno9PTq0JrJ2iFZEiWswbHh8MwrOxkHlutDnv2ZXJCIiImVcocOo5OTkyx4PCAi44mLEBdVoa79qXvJx8u4bdc6348DDC+p0L6nKRMTF2WwGJ85mnGsSfvEKp7jk9HzPEVLB56ItdBFBflSv5E9oBV+sLhT2eFgttK4ZzMndBq1rBiuIEpdxffx3WI+vAk8/uFV9okRERMR8hQ6jKlasmGcfDcMwsFgsTlfak1LA6gE9Xzx3Nb28OqIYUKEqnDkOn/wLWgyFHs+Bjy5hLlIWnEnP4kii/Wp0uSubHH8npZGZfflG4eW8PZyCpgtXOFUL8sfXSxdGELkalsNrqXf8S/udPv+FkPrmFiQiIiLCFW7T++KLLwgODsYwDHr37s27777LNddcU9S1iato0A9u/dB+Vb0Lm5kHhEPPF+yroVY8DetmwaZ5sP9HGDDHvqpKRNxaVo6N46fSL2gS7rylLik167LP97BaCK/o+4/eTedXOAUXsFG4iFyBsyfw+HokFgxsjW/D2vROsysSERERAa4wjGrXrh0hISEAeHh40Lx5c+rV0xVZSrUG/aBeH7L//Jmtq3+gaYdoPGt1tK+cAuj5PNTtBQtHw6lDMLc3tB0LXSaDl6+5tYvIJRmGQWJKJkeSLu7ddCQplWOn0snJp1F4kL/XRUGTPWzyp2pFX7w8iqZRuIgUgs0GX4/EcjaOMz5V8e35IlYFvyIiIuIiCh1GBQcHc/ToUUJCQkhKSiI1NZWbbrqJL7/8kiZNmhRHjeIqrB4YNdrz185kmtRofz6IylWzI4xaCz9Mgi0fw9o34PflcMtbUFVzQ8Qs6Vk5HHX0a0q7aIVTSublt1d7e1rtfZouCJuqBZ3fUlehBBuFi0gB/fIq7F+J4enHrzUfpIO3ts+LiIiI6yh0GNWxY0eGDh3KHXfcwZIlS2jRogVDhw6lU6dOvPbaawwdOrQYyhS34RsAN8+EejfBogfhxG54pyt0mgjtHwGPK1qMJyKXYbMZxJ9JP9ck3B42HU08v60u4UxGvucIC/AlIviCK9MF+VO9kv12lfI+LtUoXETycWgtrHwWgJzoFzhzLMjkgkREREScFToZmDVrFuPHj+ejjz6iZs2avPfee9SpU4fmzZtz6623KowSu7q9YPQ6+O4R2L0IfnwW9n0PA96CynXMrk7E7SSnZzlvoUs8v63uaFIamTmXbxRe3sfzXNDkd9GWumsq+qlRuEhpkfI3fHEfGDa44TaMJnfAse/NrkpERETESaHDqLCwMObPn3/R423atGHz5s1FUpSUEuUq2xufb18Ai/8P/toEczpA1FRoNRKs6iMjkisrx8axUxduoUuzh0/nttedyqdRuKfVQnhFP8fWOacVTsH+VPT3UqNwkdLOZoOv77df4bZSHegzHfTfvYiIiLigIt0zVbly5aI8nZQGFgvccCvUaAffjIE/f7RflW/vYrh5FlSMMLtCkRJhGAYnUzIvbhJ+boXT8dNp5NMnnErlvC9Y0eTnCJsigv2pGuiLpxqFi5Rtv7wGfywHT1+49QPwKQ9Zlw+yRURERMxQ6DBq/Pjxlz0+ffr0Ky5GSrHAa+Dur+HXdyFmChz4GWa3hV4vQpPb9ZtbKRXSMnM4knQ+aPrnCqfUfBqF+3ha/9Ek3B44Va9kD53K+ajnmohcwqFYR58oer0EoQ3NrUdERETkMgr9k82WLVsct9esWUOLFi3w8/MD0BYQuTyLBVqNgOu6wtcPwNENsHAU7P4O+s6A8lXMrlDksnJsBnHJ6Y6w6cIm4UeS0jiRT6NwiyW3UfiFTcLPr3CqUsFH30dFpPBSTp7rE5UDjW+F5veYXZGIiIjIZRU6jPrxxx8dtytUqMD8+fOpVatWkRYlpVyl6+C+pfDLDPjxP/Yte0fWQ9/XoH5fs6uTMu50WtYFW+jOh01Hk9I4mpRKVs7l99JV8PW0r2a6oEl4xLkVTtcE+eHjqUbhIlKEHH2ijtn7RN30qlYbi4iIiMvTng8xh9UDOoyHOt3tq6Tid8Bnd9m37PV8Afwqml2hlFKZ2Tb+OpV2ce+mpFQOn0wlOT37ss/3tFqoFuTndDW63Cbh1YP9CfT3KqF3IiICrJ0Bf8TY+0QNmmfvEyUiIiLi4hRGibnCGsOIlbDqeftKqW3/s/eTunkmXNfF7OrEDRmGwYmzGY5eTYedmoWncjw5HSOfRuGVy/sQca5B+IVNwiOC/aga6IeHVasORMQFHF4HK56x3+71IoQ1MrceERERkQIqdBi1aNEix22bzcaKFSvYsWOH47F+/foVTWVSdnj6QNRUuL6XfatB0gH4qD+0GglR08Db3+wKxcWkZmY7rkJ34MQZ1hywsvDjzRxNSudIUirpWbbLPt/Xy+oImqpdsKopN3Dy91ZOLyIuLjXxgj5Rg6D5ELMrEhERESmwQv/E1b9/f6f7999/v+O2xWIhJ+fyV4sSuaTqrWHUL/ar7f36Lmx4G/avhAFvQbWWZlcnJSjHZnD8dNq5JuFpFzQJt69u+vts5j+eYYW4vx33LBYID/QjItjv/Ba6SueDp8rlvdUoXETcl81m3+Ke/BdUqq0+USIiIuJ2Ch1G2WyXX3EgclW8y0GfV6Bub/hmLJz8A97rDu3HQ6fHwdPb7AqlCBiGwem0rHNb59IuaBJu//uvpDSybZffSxfo50VEsB/VKvqRlXScji0aUrNKBaoH+xNe0Q9vT2sJvRsRkRIW+wb8/gN4+JzrE1XB7IpERERECkV7UcQ11e4Go9fCkgmw/XNY/V/7B+8Bb0FoQ7OrkwLIyM7haFKao0n4kaQ0Dp88v8LpTD6Nwr08LFQLym0Sfn6FU27j8EA/e6PwrKwsliz5i96tIvDyUvNwESnlDq+H5dPst3u9aO+9KCIiIuJmCh1GJScn5/l4QkICdevWJTAwkNDQUHbv3n3VxUkZ5xcEA9+Ben3gu0cgbju83Rm6PAFtH7RfkU9MYxgGJ85knN9Cl3jBFeqSUokrQKPwKhV8zjUI93MKmqoH+xMa4KtG4SIiF7qwT1SjgdBiqNkViYiIiFyRQodRFStWzLPXimEYWCwWEhMTi6QwEYeG/aF6JHz7MOz7HpY/BXu/hwGzIbiW2dWVamczsp2uROdY4XTudkb25bft+nt7/KNJuJ8jbKoW5I+ftwJFEZECcfSJOgrB18FNr6lPlIiIiLitK9qm98UXXxAcHOz02MmTJxk0aFCRFCVykQqhcPv/YMvHsHQSHFkHs9tD9LPQ4l59IL9C2Tk2jp9OdwROh/8RNiWm/LNRuDOrBcIrXriF7nzYFBHsT6VyahQuIlIkYt907hPlG2B2RSIiIiJX7IrCqHbt2hESEuL0WHx8fJEUJHJJFgs0vxtqdoSFo+HQGvv2vT2Lod8bEBBudoUuxzAMklKznMKm3CbhRxLT+OtUGjn5NAqv6O91fgudY4WTPXgKr+iHl4cahYuIFKsjG2DFuT5RPZ+HqjeYW4+IiIjIVbqiMGrXrl2cPHmSgIAAwsPDtfJBSlZQDRjyLayfA8unwh/LYVak/Sp8jf9ldnUlLj3rgkbhSakXNAm3P3Y24/KNwr09rFQLPtez6R8rnCKC/QnwVVNwERHTpCbCgnvBlg0Nb4GW95ldkYiIiMhVu6Iwqlu3bo7b3t7etG3blltuuaXIihLJl9UKkaPtV937+n44tgW+HAZ7voM+08E/OP9zuAmbzSDhXKNwp/5N51Y4xSdn5HuO0ACfi65Gl7vCKaSCD1Y1ChcRcT2GYV8JnHzU3iOx7wxtSxcREZFSodBh1IEDBwDIyMjg5MmT/Pnnn/z00088/vjjRV6cSL6q1IVhMbD6FfjpJdj5NRxaa9+2d3202dUV2Jn0rIuuRnd+W10amfk0Ci/n7eEUMEVcsJWuWpA/vl5qFC4i4nZiZ9ov3OHhrT5RIiIiUqoUOoyqUaOG0/3IyEjuvPNO7rrrLjp37kytWrWoUqUK69evL7IiRS7Lwws6T4Q6PexXGvp7L8y/FZoPgejnwKeC2RWSlWPj+Kn0C5qEO1+hLik167LP97BaCK/o69hKF/GP0CnI30vbZUVESpMjv9qvHgvn+kQ1MbceERERkSJ0Rdv08tK+fXvHqikPD63CEBNc0xzu/wlWPAPrZsHmD+DPVdB/Nlzbrlhf2jAMElMynXo1HT55PnQ6fjo930bhweW8zzUJ97tohVPVQF881ShcRKRsSE2EL871iWrQH1oOM7siERERkSJ1RWFUdnY2q1atYv/+/dxxxx1UqFCBuLg4KlWqRPny5Yu6RpGC8/KDnv+Ber3h61Fw6hDM6wORY6Drk+Dle8WnTs/K+UeT8DSOJJ3v45SamXPZ5/t4Wqn2j6DpwhVO5X2KLBsWERF3ZRjwzRg4fQSCakK/19UnSkREREqdQv/0e+jQIXr27Mnhw4fJyMige/fuVKhQgRdffJGMjAzmzJlTHHWKFM617WHUL/DDv2HLRxD7pv2qewPmQHizPJ9isxnEJaefbxKeu8Lp3Fa6hDP5NwoPC/C9IGhyDp6qlFejcBERyce6WbB3yQV9ogLNrkhERESkyBU6jHr44Ydp2bIl27Zto1KlSo7HBwwYwIgRI4q0OJGr4hsAN78J9W6CRQ/CiT0Y70aR0OwhtlS/l8Ons871cErjaG6j8JzLNwqv4ON5UdBU7dzf11T0U6NwERG5ckc3QswU++3o/0B4U1PLERERESkuhQ6jVq9ezdq1a/H29nZ6/Nprr+Wvv/4qssJErkRmto1jp9L+0SS8Cqe9X2NIyuv0sK0jdNN0wn5dyMtZo9hvXOP0fE+rhWuC/P7RJPx88BTop0bhIiJSDNKSYEFun6ib4cbhZlckIiIiUmwKHUbZbDZyci7ujXP06FEqVDD/qmVSuhmGwd9n7Y3CjyY5Nwk/kpjG8dNpXKpP+C88SD9rC571nkdT65987/sEq2uM4e8GQ4moVJ6IIDUKFxERExgGLBwDpw9D0LXQ7w31iRIREZFSrdBhVI8ePXjttdd4++23AbBYLJw9e5annnqK3r17F3mB4jpybAbrDySy6W8LlQ4kElk7BI9i6IGUmpnN0aS0c03CU52ahB9JTCMt6/KNwn29rEQE5dUk3I+IoJ6UyxgL34zBe/9Kuh18FdgI/WdBxcpF/l5ERETytW427F2sPlEiIiJSZhQ6jHrllVeIjo6mQYMGpKenc8cdd/D7779TuXJl/ve//xVHjeIClu44zrRvd3H8dDrgwYe/b6RqoC9P9W1Az0ZVC3WunHONwg+fTD1/dbrE3MApjb/PXr5RuMUCVQN8LwqaLmwUftmtdD7hcNdXsPE9WPYkHFwNs9pCrxeg6Z36bbSIiJSco5vO94nq8dwlL7IhIiIiUpoUOoyqVq0a27Zt49NPP+W3337j7NmzDBs2jDvvvBM/P7/iqFFMtnTHcUZ9vJl/7n6LO53OqI83M/uu5hcFUqdTs5z6NuWGTUcSU/nrVBpZOZfYS3dOBV9PR5+mC5uEVw/2J7yiLz6eV9ko3GKx9+Oo1QUWjoIj6+2X0t6zGPrOgPIhV3d+ERGR/KSdgi+Ggi0L6veDVroQjIiIiJQNhQ6jADw9PbnrrruKuhZxQTk2g2nf7rooiAIcjz3+5XY2Hkrir6Q0R+iUnJ592fN6eVi4pqLfBSubzv19bntdoL9Xkb+XPFW6Du79Hta+Dj/+x3457SPr4aZX7Q1kRUREioNh2H8JcuowVKxhv/qrVuaKiIhIGXFFYdTevXt544032L17NwD169dn7Nix1KtXr0iLE/NtOJB4bmvepZ1Oy+Ld1QcuerxyeR+qBzsHThFB/lSv5E9YgG+x9Ju6IlYPaP8I1O4OX98P8Tvg83vghtug10vgV9HsCkVEpLRZ/xbs+Q6sXuoTJSIiImVOocOoL7/8ksGDB9OyZUsiIyMBWLduHY0bN+bTTz9l4MCBRV6kmCfhzOWDqFydrq9M57ohjrCpWpAf/t5XlHWaJ6wRjPgRfnoB1rwKv30GB9fYf1t9XVezqxMRkdLir02wbLL9dvRzcE1zc+sRERERKWGFTgsmTJjApEmTePrpp50ef+qpp5gwYYLCqFImpIJvgcY90Kk2kddVKuZqSoCnN3SbAtf3tK+SSvwTPhoAN46A7tPAu5zZFYqIiDtLOwUL7j3XJ6ovtBppdkUiIiIiJc5a2CccP36ce+6556LH77rrLo4fP14kRYnraFUzmKqBvlxqQ50FqBroS6uawSVZVvGLaAUPrLGHUAC/vgNz2sORDebWJSIi7sswYNFYOHUIKlaHfuoTJSIiImVTocOozp07s3r16oseX7NmDR06dCjUuX7++Wf69u1LeHg4FouFhQsXOh03DIMpU6ZQtWpV/Pz8iIqK4vfff3cak5iYyJ133klAQAAVK1Zk2LBhnD171mnMb7/9RocOHfD19SUiIoKXXnrpoloWLFhAvXr18PX1pXHjxixZsqTQtZRGHlYLT/VtAHBRIJV7/6m+DVyn/1NR8i4Hff4Ld38NFcLtq6Tej4bl0yA70+zqRETE3Wx4G3Z/e75PlHoSioiISBlV6DCqX79+PP7444wdO5aPP/6Yjz/+mLFjxzJx4kQGDBjAokWLHH/yk5KSQpMmTZg5c2aex1966SVef/115syZw/r16ylXrhzR0dGkp5/vY3TnnXeyc+dOYmJi+O677/j5558ZOfL8kvfk5GR69OhBjRo12LRpEy+//DJTp07l7bffdoxZu3Ytt99+O8OGDWPLli3079+f/v37s2PHjkLVUlr1bFSV2Xc1JyzQecteWKAvs+9qTs9GVU2qrIRc1xVGx8INg8GwwZrp8E5XiNuR/3NFREQA/tp8vk9Uj2fgmhbm1iMiIiJiIothGEZhnmC1Fiy/slgs5OTkFLwQi4Wvv/6a/v37A/aVSOHh4Tz66KP83//9HwCnT58mNDSUefPmMXjwYHbv3k2DBg349ddfadmyJQBLly6ld+/eHD16lPDwcGbPns0TTzxBXFwc3t7eAEycOJGFCxeyZ88eAG677TZSUlL47rvvHPW0adOGpk2bMmfOnALVUhDJyckEBgZy+vRpAgICCvy1cRU5NoPYPxJYtno9PTq0JrJ2SOlcEXU5uxbBd+Mg9aT9N9tdn4C2D9mvyCemyMrKYsmSJfTu3RsvLy+zy5EyTvNR8pR2Ct7qaN+eV+8muO3jEtuepzkprkTzUVyJ5qO4mtIwJwuTeRS6gbnNZrviwgrjwIEDxMXFERUV5XgsMDCQ1q1bExsby+DBg4mNjaVixYqOIAogKioKq9XK+vXrGTBgALGxsXTs2NERRAFER0fz4osvkpSURFBQELGxsYwfP97p9aOjox3bBgtSS14yMjLIyMhw3E9OTgbskywrK+vKvzgmal6tAicrGzSvVgFbTja2gueNpUOdXjCiBR5LxmP9fSksn4ptzxJy+r4JwbXMrq5Myv1vyV3/m5LSRfNRLmIYeHwzFuupQxiB1cnu/RpkZ5fYy2tOiivRfBRXovkorqY0zMnC1F7oMKqkxMXFARAaGur0eGhoqONYXFwcISEhTsc9PT0JDg52GlOzZs2LzpF7LCgoiLi4uHxfJ79a8vL8888zbdq0ix5ftmwZ/v7+l3yeO4iJiTG7BHOVu52I6hE0PvoRXkc3YHurPTuvuYODlbqoGa1JyvycFJei+Si5ap5Yzg1Hv8Vm8WB16L2c+nGtKXVoToor0XwUV6L5KK7GnedkampqgccWOIxauXIlY8eOZd26dRcttzp9+jRt27Zl9uzZdOzYseCVlnKTJk1yWnGVnJxMREQEPXr0cMttemBPOmNiYujevbvbLh0sOn3g9Ghs347F89AvNDkyj8Zeh8npMwMCSnkfLReiOSmuRPNRnBzfiucHnwJgRE2jbasHSrwEzUlxJZqP4ko0H8XVlIY5mbsbrCAKHEa99tprjBgxIs8QJTAwkPvvv59XX321yMKosLAwAOLj46la9fwP9vHx8TRt2tQxJiEhwel52dnZJCYmOp4fFhZGfHy805jc+/mNufB4frXkxcfHBx8fn4se9/LyctvJlas0vIciUbkWDPkONrwFy6di/XMl1nfaQ+9XoPG/tEqqBGlOiivRfBTST8PXwyEnE+r2waPtWDxM/DdBc1JcieajuBLNR3E17jwnC1N3ga+mt23bNnr27HnJ4z169GDTpk0FfuH81KxZk7CwMFasWOF4LDk5mfXr1xMZGQlAZGQkp06dcnrdlStXYrPZaN26tWPMzz//7LR3MSYmhrp16xIUFOQYc+Hr5I7JfZ2C1CJlmNUKbUbB/ashvLn9B5CvhsOCIZBy0uzqRESkpBkGLHoIkg5CYHW4+U39ckJERETkAgUOo+Lj4y+bcnl6enLixIlCvfjZs2fZunUrW7duBeyNwrdu3crhw4exWCyMGzeOZ599lkWLFrF9+3buuecewsPDHVfcq1+/Pj179mTEiBFs2LCBX375hbFjxzJ48GDCw8MBuOOOO/D29mbYsGHs3LmTzz77jBkzZjhtn3v44YdZunQpr7zyCnv27GHq1Kls3LiRsWPHAhSoFhGqXA/DYqDLE2D1hF3fwKw2sHep2ZWJiEhJ+vVd2LXQ/m/BoLngH2x2RSIiIiIupcDb9K655hp27NhB7dq18zz+22+/OW1hK4iNGzfSpUsXx/3cgGjIkCHMmzePCRMmkJKSwsiRIzl16hTt27dn6dKl+Pr6Op7zySefMHbsWLp164bVamXgwIG8/vrrjuOBgYEsW7aMMWPG0KJFCypXrsyUKVMYOXKkY0zbtm2ZP38+kydP5t///jd16tRh4cKFNGrUyDGmILWI4OEJnSZAne7w9QNwYg/87zZodjdE/wd83bNXmIiIFNCxrfDDv+23o6ZBtZaXHS4iIiJSFhU4jOrduzdPPvkkPXv2vCiASUtL46mnnuKmm24q1It37twZwzAuedxisfD000/z9NNPX3JMcHAw8+fPv+zr3HDDDaxevfqyYwYNGsSgQYOuqhYRh/BmMPInWPkMxM6ELR/Bnz/BgNlwbXuzqxMRkeKQngwLhtr7RF3fCyLHmF2RiIiIiEsqcBg1efJkvvrqK66//nrGjh1L3bp1AdizZw8zZ84kJyeHJ554otgKFXE7Xr4Q/RzU7Q0LH4BTh2HeTfYfTro+aT8uIiKlg2HAtw9B0gEIjID+s9QnSkREROQSChxGhYaGsnbtWkaNGsWkSZMcK5osFgvR0dHMnDmT0NDQYitUxG1d2w5GrbVv29j8IcS+Cb/HwIA5cE1zs6sTEZGisPF92Pm1vU/Uv9QnSkRERORyChxGAdSoUYMlS5aQlJTEH3/8gWEY1KlTx3FVOhG5BJ8K0O8NqHcTLHoQ/t4L70bZ+0t1eBQ83PPSnSIiAhzfBksn2W9HTYWIG00tR0RERMTVFfhqehcKCgrixhtvpFWrVgqiRArj+mgYvQ4aDgAjB1Y9D+91hxN7za5MRESuhKNPVMa5PlFjza5IRERExOVdURglIlfBPxgGzYOB74FvRTi2BeZ0sDc6t9nMrk5ERArKMODbhyHxTwiopj5RIiIiIgWkMErELI3/BaNj4bpu9t+o//Bv+LAfJB0yuzIRESmITXNh51f2PlGD1CdKREREpKAURomYKSAc7voSbnoVvMrBwdUwux1s/sj+G3cREXFNx3+D7yfab3ebAhGtzK1HRERExI0ojBIxm8UCLe+DUWsgog1knoFFY+F/t8OZeLOrExGRf8o4c75PVJ1oiHzQ7IpERERE3IrCKBFXEVwL7l0CUdPAwxv2fQ+z2sDOhWZXJiIiuQwDvh0Hifsh4BoYMAes+jglIiIiUhj69CTiSqwe0H4cjFwFYY0hLREWDIEvR0BaktnViYjIpnmw4wuweMC/1CdKRERE5EoojBJxRaENYfhK6PB/YLHC9s9hVlv4Y4XZlYmIlF1x2+H7x+23u02B6q3NrUdERETETSmMEnFVnt7Q7Um4bxkEXwdnjsHHt8B34yEzxezqRETKFqc+UT2g7UNmVyQiIiLithRGibi6iBvhgTXQaqT9/sb3YE57OLze3LpERMoKw4DvHoGTf0CFcOivPlEiIiIiV0OfpETcgbc/9H4Z7l5ob5ib+CfM7QnLp0J2htnViYiUbps/hO0LzvWJeh/KVTK7IhERERG3pjBKxJ1c1wVGrYUmt4NhgzWvwjtdIW6H2ZWJiJROcTvg+wn2292ehBqR5tYjIiIiUgoojBJxN34V7ZcSv+1j8K8M8Tvg7c6w+hXIyTa7OhGR0iPjrL1PVHY61O4ObR82uyIRERGRUkFhlIi7qt8XRq+Dun3AlgUrnoa5veDkfrMrExFxf4YBi8fDyd/tfaIGqE+UiIiISFHRpyoRd1a+Cgz+BPrPBp8AOLrB3tx8wzv2H6REROTKbPkIfvvsgj5Rlc2uSERERKTUUBgl4u4sFmh6h72XVM2OkJUKS/4PPhoAp/8yuzoREfcTvxOWPGa/3fUJ9YkSERERKWIKo0RKi4oRcPc30Osl8PSFP3+EWZHw2+daJSUiUlAX9om6rhu0e8TsikRERERKHYVRIqWJ1Qqt74f7V8M1LSDjNHw1Aj6/B1L+Nrs6ERHXZhiw+FH4ex9UqAq3vK0+USIiIiLFQJ+wREqjKtfDfcugy2SwesLuRTCrDexZYnZlIiKua+sn8NunYLHCwPfUJ0pERESkmCiMEimtPDyh02MwfAVUqQ8pJ+DT22HhGEhPNrs6ERHXEr8LFv+f/XaXJ+DadubWIyIiIlKKKYwSKe3Cm8LIVdD2QcACWz+G2e3gwGqTCxMRcRGZKef6RKXBdV2h/XizKxIREREp1RRGiZQFXr7Q41m4dwlUrAGnD8MHN8HSSZCVZnZ1IiLmWvx/8PdeKB8GA9QnSkRERKS46dOWSFlSoy2M+gVaDLXfXzcL3uoIf20ytSwREdNs+QS2zbf3ifrXe1C+itkViYiIiJR6CqNEyhqfCtB3BtyxwL4K4O998G53+PF5yMkyuzoRkZKTsNt+9TyAzv+Ga9ubW4+IiIhIGaEwSqSsur4HjI6FhreAkQM/vQDvRkHCHrMrExEpfhf2iarVBTqoT5SIiIhISVEYJVKW+QfDoLn2S5j7VoTjW+3b9ta+CTab2dWJiBSfJY/BiT32FaK3vANWD7MrEhERESkzFEaJCDT+F4xeB7W7Q04GLHvC3uA86aDZlYmIFL2t82HrJ/Y+UQPfVZ8oERERkRKmMEpE7AKqwp0L4KbXwKscHPoFZreDzR+CYZhdnYhI0UjYc0GfqElQs4O59YiIiIiUQQqjROQ8iwVa3mu/4l71SMg8C4sehPm3wZk4s6sTEbk6mSmwYAhkpUKtztDhUbMrEhERESmTFEaJyMWCa8LQxdD9GfDwht9/gFltYOfXZlcmInLllkw41ycqVH2iREREREykMEpE8mb1gHYPwcifIOwGSEuyX3nqy+H22yIi7mTr/2Drxxf0iQoxuyIRERGRMkthlIhcXmgDGL4COj4GFg/YvgBmRcIfy82uTESkYE7shcXj7bc7TYSaHc2tR0RERKSMUxglIvnz9Iauk2HYMqhUG84ch48HwnePQMZZs6sTEbm0zFT4/FyfqJodoeP/mV2RiIiISJmnMEpECq5aS7h/NbR+wH5/4/swpz0cXmduXSIil/L9BDixG8qFwC3vqk+UiIiIiAtQGCUihePtD71ehHu+gYBqkHQA3u8JMVMgO8Ps6kREztv2GWz5CLDY+0RVCDW7IhERERFBYZSIXKlanWH0WmhyB2DALzPg7S5w/DezKxMRgRP77FuJATo9DrU6mVuPiIiIiDgojBKRK+cbCANmw22fgH9lSNgJ73SFn/8LOdlmVyciZVVmKiwYAlkpcG0H6DTB7IpERERE5AIKo0Tk6tW/CUavg3o3gS0LVj4Dc3vCyf1mVyYiZdHSxyFhF5SrAgPfU58oERERERejMEpEikb5KnDbx9B/DvgEwNFfYXY7WP822GxmVyciZcVvn8PmDwEL3PKO+kSJiIiIuCCFUSJSdCwWaHo7jFoLNTtBdhp8/xh8PABOHzW7OhEp7f7+Hb4dZ7/daQJc18XUckREREQkbwqjRKToVYyAuxdCr5fB0w/+XAWz2sK2T8EwzK5OREqjrDT4/MI+UY+bXZGIiIiIXILCKBEpHlYrtB4JD6yBa1pCxmn4+n747C5I+dvs6kSktFk60X4RhXJVYOC76hMlIiIi4sIURolI8apcG+77AbpOBqsn7PkOZrWBPYvNrkxESovfFsCmedj7RL0NFcLMrkhERERELkNhlIgUPw9P6PgYjFgJIQ0g5QR8egcsHA3pp82uTkTc2d9/wHfj7Lc7/h9c19XUckREREQkfwqjRKTkVG0CI1dBu4cBC2z9xH7FvQM/m12ZiLijrDRYMBQyz0KN9tBpotkViYiIiEgBKIwSkZLl6QPdn4Z7v4ega+H0EfigL3z/OGSmml2diLiTpZMgfjv4V7b3ifLwNLsiERERESkAhVEiYo4akfDAL9DiXvv99XPgrY5wdJO5dYmIe9j+BWyai6NPVEBVsysSERERkQJSGCUi5vEpD31fgzu/gPJhcPJ3eK87rHwOsjPNrk5EXNXJ/fDtw/bbHR6F2t3MrUdERERECkVhlIiYr053GB0Ljf4FRg78/BK82w0SdptdmYi4mqx0+HzIuT5R7aDzJLMrEhEREZFCUhglIq7BPxj+9R78ay74BUHcb/BWJ1j7BthyzK5ORFzFD7l9oiqpT5SIiIiIm1IYJSKupdEtMHod1OkBORmwbDLMuwkSD5hdmYiYbceXsPF9++1b3oaAcHPrEREREZErojBKRFxPhTC443PoOwO8y8PhtTC7HWyaB4ZhdnUiYoaT+2HRhX2iosytR0RERESumMIoEXFNFgu0GAqjfoHqbSErxd6weP6tcCbO7OpEpCRlpcOCoZB5xv79oPO/za5IRERERK6CwigRcW1B18LQ76DHs+DhA78vg1ltYMdXZlcmIiVl2RP2PnLqEyUiIiJSKiiMEhHXZ/WAtg/C/T9B1SaQlgRf3Atf3Ge/LSKl146v4Nd37bcHvA2B15hbj4iIiIhcNYVRIuI+QurD8BXQ6XGweMCOL/F8uz0hp7eZXZmIFIeT+2HRQ/bb7R+BOuoTJSIiIlIauHwYdebMGcaNG0eNGjXw8/Ojbdu2/Prrr47jhmEwZcoUqlatip+fH1FRUfz+++9O50hMTOTOO+8kICCAihUrMmzYMM6ePes05rfffqNDhw74+voSERHBSy+9dFEtCxYsoF69evj6+tK4cWOWLFlSPG9aRC7Nwwu6/BuGxUClOljOxhP55ytYlzwKGWfzf76IuIcL+0RFtIEuk82uSERERESKiMuHUcOHDycmJoaPPvqI7du306NHD6Kiovjrr78AeOmll3j99deZM2cO69evp1y5ckRHR5Oenu44x5133snOnTuJiYnhu+++4+eff2bkyJGO48nJyfTo0YMaNWqwadMmXn75ZaZOncrbb7/tGLN27Vpuv/12hg0bxpYtW+jfvz/9+/dnx44dJffFEJHzqrWAB1aTc+P9AHhs+QDmtINDsSYXJiJFYtlke58ov2D41/vqEyUiIiJSirh0GJWWlsaXX37JSy+9RMeOHalduzZTp06ldu3azJ49G8MweO2115g8eTI333wzN9xwAx9++CHHjh1j4cKFAOzevZulS5fy7rvv0rp1a9q3b88bb7zBp59+yrFjxwD45JNPyMzM5P3336dhw4YMHjyYhx56iOnTpztqmTFjBj179uSxxx6jfv36PPPMMzRv3pw333zTjC+NiAB4+WHr8Ry/1J6IEVANkg7C3F6w7En7qgoRcU87F8Kv79hvD3hLfaJEREREShmX/jVjdnY2OTk5+Pr6Oj3u5+fHmjVrOHDgAHFxcURFne8hERgYSOvWrYmNjWXw4MHExsZSsWJFWrZs6RgTFRWF1Wpl/fr1DBgwgNjYWDp27Ii3t7djTHR0NC+++CJJSUkEBQURGxvL+PHjneqIjo52hF55ycjIICMjw3E/OTkZgKysLLKysq7oa2K23LrdtX4pfbKysvi7QgPS+qzA98dpWH+bD2tfx/h9Gdn9ZkHYDWaXKGWIvkcWgaQDeC4aiwXIiXwIW80uoK/nFdOcFFei+SiuRPNRXE1pmJOFqd2lw6gKFSoQGRnJM888Q/369QkNDeV///sfsbGx1K5dm7i4OABCQ0OdnhcaGuo4FhcXR0hIiNNxT09PgoODncbUrFnzonPkHgsKCiIuLu6yr5OX559/nmnTpl30+LJly/D39y/Il8BlxcTEmF2CiJOYn9eDR0/CalahyZG5+J7Yg8d73dlbtT+/h96EYfEwu0QpQ/Q98spYbVl02PcMFTPOcLJcHX5Ja4qh/oxFQnNSXInmo7gSzUdxNe48J1NTUws81qXDKICPPvqI++67j2uuuQYPDw+aN2/O7bffzqZNm8wuLV+TJk1yWk2VnJxMREQEPXr0ICAgwMTKrlxWVhYxMTF0794dLy8vs8sRyWNO9oaUUdi+/z+se7+j/vEvqWs5SE6/N6FSHbPLlVJO3yOvjvWHSXikHcTwCyLgvi/oFaDteVdLc1JcieajuBLNR3E1pWFO5u4GKwiXD6Ouu+46fvrpJ1JSUkhOTqZq1arcdttt1KpVi7CwMADi4+OpWrWq4znx8fE0bdoUgLCwMBISEpzOmZ2dTWJiouP5YWFhxMfHO43JvZ/fmNzjefHx8cHHx+eix728vNx2cuUqDe9BShenOVmxKgz+GH77HJY8hvXYJqzvdoXu0+DGEWB16XZ5Ugroe+QV2PUNbLT3ibIMeAuvSteaW08pozkprkTzUVyJ5qO4Gneek4Wp221+IitXrhxVq1YlKSmJH374gZtvvpmaNWsSFhbGihUrHOOSk5NZv349kZGRAERGRnLq1CmnlVQrV67EZrPRunVrx5iff/7ZaX9jTEwMdevWJSgoyDHmwtfJHZP7OiLiYiwWaHIbjF4LtTpDdhp8PwE+6g+nj5pdnYhcKPEAfDPWfrvtQ3B9tLn1iIiIiEixcvkw6ocffmDp0qUcOHCAmJgYunTpQr169bj33nuxWCyMGzeOZ599lkWLFrF9+3buuecewsPD6d+/PwD169enZ8+ejBgxgg0bNvDLL78wduxYBg8eTHh4OAB33HEH3t7eDBs2jJ07d/LZZ58xY8YMpy12Dz/8MEuXLuWVV15hz549TJ06lY0bNzJ27FgzviwiUlCB1eCur6H3f8HTDw78BLMiYet8MAyzqxOR7Az44l7ISIZqraDbFLMrEhEREZFi5vJh1OnTpxkzZgz16tXjnnvuoX379vzwww+O5V8TJkzgwQcfZOTIkdx4442cPXuWpUuXOl2B75NPPqFevXp069aN3r170759e95++23H8cDAQJYtW8aBAwdo0aIFjz76KFOmTGHkyJGOMW3btmX+/Pm8/fbbNGnShC+++IKFCxfSqFGjkvtiiMiVsVqh1Qh4YA1Uu9H+Q+/CUfDZXXD2hNnViZRtMVPg2BbwC4J/vQ8e7rksXUREREQKzuV7Rt16663ceuutlzxusVh4+umnefrppy85Jjg4mPnz51/2dW644QZWr1592TGDBg1i0KBBly9YRFxX5dpw71JYOwN+fB72fAeH10Hf16B+X7OrEyl7di2C9XPst/vPgYoR5tYjIiIiIiXC5VdGiYgUKQ9P6PAojFgJIQ0g9W/7CqmvH4D002ZXJ1J2JB28oE/Ug1C3p6nliIiIiEjJURglImVT1Rtg5CpoNw4sVtj2P5jVFv5cZXJhImVAdiYsuBcyTtu3znZ7yuyKRERERKQEKYwSkbLL0we6T4N7v4egmpB8FD68GZZMgMxUs6sTKb2WPwXHNoNvRfjXXPWJEhERESljFEaJiFRvY29u3nKY/f6Gt+CtDnB0o7l1iZRGu7+DdbPstweoT5SIiIhIWaQwSkQEwKc83DQd7voSKlSFk3/Ae91hxTP2LUUicvWSDsE3o+23I8dC3V7m1iMiIiIiplAYJSJyodpRMDoWGg8Cwwar/wvvdoX4XWZXJuLesjPhi3vtFwq4pqX6RImIiIiUYQqjRET+yS8IBr4Lg+aBXzDEbYe3O8EvM8CWY3Z1Iu5p+VT4axP4BsKgueDpbXZFIiIiImIShVEiIpfScACMXgfX94ScTIiZAvP6QOKfZlcm4l72LIZ1M+23+8+GitXNrUdERERETKUwSkTkciqEwu2fQr83wLs8HI6F2e1h41wwDLOrE3F9SYdg4Sj77TZjoF4fc+sREREREdMpjBIRyY/FAs3vgVG/QI12kJUC342DTwZB8nGzqxNxXdmZ8MV95/pEtYCoqWZXJCIiIiIuQGGUiEhBBV0LQ76DHs+Bhw/8EQOz2sD2L8yuTMQ1rZgGf22094n6l/pEiYiIiIidwigRkcKwWqHtWLj/Z6jaFNJPwZfDYMFQSE00uTgRF7JnCcS+ab998ywIqmFuPSIiIiLiMhRGiYhciZB6MHw5dJoIFg/Y+bV9ldS+ZWZXJmK+U4cv6BM1GurfZG49IiIiIuJSFEaJiFwpDy/oMgmGx0Dl6+FsPMwfBIsegowzZlcnYo6crHN9ok5BeHOImmZ2RSIiIiLiYhRGiYhcrWta2LfttRljv7/5A5jdDg6tNbcuETOsmAZHfwWfQBikPlEiIiIicjGFUSIiRcHLD3r+x97gPLA6nDoEc3vDssmQlW52dSIlY+/3sPYN++3+M+1N/0VERERE/kFhlIhIUarZAUb9As3uAgz7D+Zvd4ZjW00uTKSYnToCXz9gv936Aajf19x6RERERMRlKYwSESlqvgFw80y4/VMoVwVO7IZ3u8FPL0FOttnViRQ9pz5RzaD702ZXJCIiIiIuTGGUiEhxqdsLRq+D+v3Alg0/PgfvdYcT+8yuTKRorXgajm6w94n611zw9DG7IhERERFxYQqjRESKU7nKcOuHcMs79h/Uj22GtzrAujlgs5ldncjV2/cDrH3dfvvmNyG4prn1iIiIiIjLUxglIlLcLBa44VYYHQu1ukB2Oix9HD7sZ++zI+KuTh+Fr++33251PzToZ249IiIiIuIWFEaJiJSUwGvg7q+hzyvg5Q8HV8PstrDlEzAMs6sTKZzcPlFpSVC1KfR4xuyKRERERMRNKIwSESlJFgvcOBweWAPVWkFGMnwzGj69E86eMLs6kYJb+SwcWQ8+ATBIfaJEREREpOAURomImKHSdXDfUuj2FFi9YO9imNUadi0yuzKR/O1bBr+8Zr/d7w0IrmVqOSIiIiLiXhRGiYiYxeoBHcbDyB8htBGknoTP74av7oe0U2ZXJ5K303+d7xN14who2N/UckRERETE/SiMEhExW1hjGLES2j8CFiv89qm9l9T+lWZXJuIsJ/tcn6hEqNoEejxrdkUiIiIi4oYURomIuAJPH4iaCvcuhaCakPwXfDQAFv8fZKaYXZ2I3Y/PwpF15/pEzQMvX7MrEhERERE3pDBKRMSVVG8No36xNzkH+PUdmNMBjvxqbl0iv8fAmlftt/u9rj5RIiIiInLFFEaJiLga73LQ5xW46yuoEA6J++H9HrDiacjONLs6KYuc+kQNh4YDzK1HRERERNyawigREVdVuxuMXguNbwXDBqtfgXe6QvxOsyuTsiQnG74cZm+wH3YD9HjO7IpERERExM0pjBIRcWV+QTDwHRj0AfgFQ/x2eLuzfbuULcfs6qQs+PE5OBwL3hXUJ0pEREREioTCKBERd9CwP4xeB9f3gpxMWD4V5vaGxD/NrkxKsz+Ww5rp9tv9ZkCl68ytR0RERERKBYVRIiLuokIo3P4/6PemfZXKkXUwuz38+h4YhtnVSWmTfAy+Gmm/3XIYNBpobj0iIiIiUmoojBIRcScWCzS/237FvRrtISsFFo+HjwfawwORopCTDV/k9olqDNH/MbsiERERESlFFEaJiLijoBow5FuIfh48fGD/CpjVBrZ/oVVScvVWPQ+H14J3eXu/MvWJEhEREZEipDBKRMRdWa0QORoeWA3hzSD9tP2qZwuGQspJs6sTd/XHcvuVGwH6qk+UiIiIiBQ9hVEiIu6uSl0YFgOdJ4HFA3YthNmRsO8HsysTd5N8HL66HzCgxb3Q+F9mVyQiIiIipZDCKBGR0sDDCzpPhOHLoXJdOBsP82+Fb8ZCerLZ1Yk7yMmGL4dD6t8Q2hh6Pm92RSIiIiJSSimMEhEpTa5pDvf/BJFjAQts+QjmtIODa8yuTFzdTy/AoTXn+kTNAy8/sysSERERkVJKYZSISGnj5QfRz8HQ76BidTh1GObdBD88AVnpZlcnrmj/Svj5v/bbfWdA5drm1iMiIiIipZrCKBGR0ura9jBqLTS/BzAg9k14uxMc22J2ZeJKko/DlyOw94kaqj5RIiIiIlLsFEaJiJRmPhWg3xtw+2dQLgRO7IF3o2DVi5CTZXZ1YjZbDnw14lyfqEbQ8wWzKxIRERGRMkBhlIhIWVC3J4xeBw1uBls2rPoPvNcdTuw1uzIx008vwsHV4FVOfaJEREREpMQojBIRKSvKVYJBH8At74JvoH273lsdIXYW2GxmV+f2cmw5bIzfyLbMbWyM30iOLcfski5v/4/w00v2231fg8p1TC1HRERERMoOT7MLEBGREmSxwA2D4Np28M1Y2L8CfpgEe5fAzTMhqIbZFbql5YeW88KGF4hPjQdgwYoFhPqHMrHVRKJqRJlcXR7OxNm352HYe4rdcKvZFYmIiIhIGaKVUSIiZVFAONz1JfSZDl7+9q1as9vBlo/BMMyuzq0sP7Sc8avGO4KoXAmpCYxfNZ7lh5abVNkl2HLgy+GQcgJCGkKvl8yuSERERETKGIVRIiJllcUCNw6DB9ZARGvIPAPfjIH/3Q5nE8yuzi3k2HJ4YcMLGFwc4OU+9uKGF11ry95PL6lPlIiIiIiYSmGUiEhZV+k6uPd7iJoKHt6w73uY1QZ2fWN2ZS5vc8Lmi1ZEXcjAIC41jiUHlnAm8wyG2avO/lxlb1oOcNOrUOV6U8sRERERkbJJPaNERASsHtD+EajdHb6+H+J3wOf3wA232bdx+VU0u0KXcjrjNFsTtrJg34ICjf/3mn8D4G31JtgvmGDf838q+VWikm8lp/vBvsEE+QbhZfUquqLPxMOX5/pENbsbmtxWdOcWERERESkEhVEiInJeWCMY8SP89AKseRV++wwOrIab34Ta3cyuzjRxKXFsjt/M5oTNbIrfxB+n/ijU8309fEnPSSfTlklcShxxKXEFel6Ad4AjnMovvCrvVR6LxZL3iWw58NVwSEmAkAbqEyUiIiIiplIYJSIizjy9odsUuL4nfP0AJO6Hj2+BG4dD96fBu5zZFRYrwzA4kHzAHj6dC6D+OvvXReOuDbiWZiHNWHF4BcmZyXmey4KFUP9Qlg5cSqYtk6T0JBLTE0lMT+Rk2klOpp90up97Oyk9iRwjh+TMZJIzkzlw+kC+dXtZvZzCKafg6sAvBMdtoJJ/BYL7TifI04siXHMlIiIiIlIoCqNERCRvEa3ggdUQ8xT8+g78+i7sXwn950D11mZXV2SybdnsTdzLpvhNbE7YzJaELSSmJzqNsVqs1A2qS4vQFjQPbU6zkGZU9qsMQMdqHRm/ajyAUyNzC/ZVSo+3ehwPqwd+Vj/8yvsRXj4835psho3TGacLFFwlpieSkpVCli2L+NT4S/ewCgux/71yJFCEq65ERERERApJYZSIiFyadzno81+o1xsWjoHEP2FuT2g3DjpPBE8fsysstPTsdLb/vd0ePsVvZtuJbaRmpzqN8bZ607hKY5qHNKdFaAuaVGlCee/yeZ4vqkYU0ztP54UNLzgFQaH+oTze6nGiakQVukarxUqQbxBBvkFcx3X5jk/LTst71VXyURJ3fM5JI5PEcpVJ9PErulVXvpXyDLOKvNeViIiIiJQ6CqNERCR/13WF0bHw/ePw26ewZjr8vgwGvGXvM+XCcpuNb0qwh087T+4k25btNKaCVwWahTajWUgzWoS2oGGlhnh7eBf4NaJqRNElogsbjm0gJjaG7pHdaRXeCg+rR1G/nTz5eeax6sqWAx8NgON/QZX6cNtK8Pa/eNVV+knnlVZpiU6rsAq06uofArwDChxeadWViIiISNmjMEpERArGryLc8hbU6wPfjbNfce/tztDl39DuYfsV+VxAQZqNh/iF0Dy0uf1PSHPqBNXBarFe1et6WD1oGdqSBO8EWoa2LLEg6pJWvwIHfgIvfxg0D7z9gcKvukrPTnfaEliYXlcHkw/me/7cVVcXhle5WwX/GV4F+wVr1ZWIiIhIKaAwSkRECqdBP6jeBr59GPYugRXTYN9S6D8bKuUfbhSlwjQbzw2emoc2p1r5aqV7Nc6B1bDqefvtPq9ASL0rPpWvpy/h5cOvrNeVVl2JiIiISB4URomISOGVD4HB82HrfPvWvSPrYU57+9X2bhwOxRQAXG2z8TLhbAJ8OQwMGzS9E5reUWIvXdSrri4Mr4p91ZVvMF4eWnUlIiIiUhIURomIyJWxWKDZnVCzAywcDQdXw5L/s6+W6vcmBF5z1S9R1M3GSz1bDnw1As7GQ5V60Ptlsyu6rMKuukrOSHaEUyfTTzqvtEo7vxrraldd5Rte+QVTwauCVl2JiIiIXCGFUSIicnUqVod7FsGGt2D5VNi/EmZHQu//QuNBhVolVRLNxku11dPhz1Xg6XeuT1Q5sysqMlaLlYq+FanoW9HlVl0F+53bKnguuMq9r1VXIiIiInlz6TAqJyeHqVOn8vHHHxMXF0d4eDhDhw5l8uTJjt9GGobBU089xTvvvMOpU6do164ds2fPpk6dOo7zJCYm8uCDD/Ltt99itVoZOHAgM2bMoHz58785/+233xgzZgy//vorVapU4cEHH2TChAlO9SxYsIAnn3ySgwcPUqdOHV588UV69+5dMl8MERFXZrVCm1FwXTf4+n44ttm+QmfPd9DnVShXKc+nmdVsvFQ6uAZW/cd+u88rEFLf3HpM5k6rrpzCK626EhERkTLApcOoF198kdmzZ/PBBx/QsGFDNm7cyL333ktgYCAPPfQQAC+99BKvv/46H3zwATVr1uTJJ58kOjqaXbt24evrC8Cdd97J8ePHiYmJISsri3vvvZeRI0cyf/58AJKTk+nRowdRUVHMmTOH7du3c99991GxYkVGjhwJwNq1a7n99tt5/vnnuemmm5g/fz79+/dn8+bNNGrk2pc1FxEpMVWuh2ExsGY6/PQi7PoGDsVCv9cxru+pZuPF5ewJ+OJcn6gmd9i3T0qBXcmqq6T0pPPhVdpJp7BKq65ERERELs+lw6i1a9dy880306dPHwCuvfZa/ve//7FhwwbAvirqtddeY/Lkydx8880AfPjhh4SGhrJw4UIGDx7M7t27Wbp0Kb/++istW7YE4I033qB3797897//JTw8nE8++YTMzEzef/99vL29adiwIVu3bmX69OmOMGrGjBn07NmTxx57DIBnnnmGmJgY3nzzTebMmVPSXxoREdfl4QmdJpB9XVf2fvsAm9Li2LxiLFvWB5JoZDkNLfPNxouCzQZfj4SzcVC5LvT5r9kVlXq+nr5ULV+VquWr5jvW7FVXgV6BHMw+yKHkQ4RUCNGqKxEREXEJLh1GtW3blrfffpt9+/Zx/fXXs23bNtasWcP06dMBOHDgAHFxcURFRTmeExgYSOvWrYmNjWXw4MHExsZSsWJFRxAFEBUVhdVqZf369QwYMIDY2Fg6duyIt/f5niPR0dG8+OKLJCUlERQURGxsLOPHj3eqLzo6moULF16y/oyMDDIyMhz3k5OTAcjKyiIrK+tST3NpuXW7a/1S+mhOuo707HR2nNzBloQtbDmxhd/+/o1U/wzwD7IPMLLwNgwaBdamWURnmlVpxg1VbqC8l3OzcXf+/9KM+Wj95VU89q/E8PQje8C7YPEGN/4alkblPMpRrlw5qpernu/Y9Ox0kjKSnPpdJWUk2VdfZdhXWl34eEFXXb373bvA+VVXQT5BF11NMNgnmCDfIEeQFeQTpFVXUqT0b7a4Es1HcTWlYU4WpnaXDqMmTpxIcnIy9erVw8PDg5ycHJ577jnuvNO+/SAuLg6A0NBQp+eFhoY6jsXFxRESEuJ03NPTk+DgYKcxNWvWvOgcuceCgoKIi4u77Ovk5fnnn2fatGkXPb5s2TL8/f3zff+uLCYmxuwSRJxoTpa8NFsah3IOcSj7EAezD3Is5xg55DiN8cWXGp41qG/zo1f8OlqeTcCbI+w/5s2u8Gv42fqzSdUXr5Kaj5XO7qHd788DsDX8Tg5vPAAcKJHXlpLhhRch5/7nxBdsPjbSjXTOGmc5aztLipFCipHCWdtZzhrn7tvOP5ZBRqFXXflafClvKU85SznKW//xt6U85azlHMd9Lb5adSUFon+zxZVoPoqrcec5mZqamv+gc1w6jPr888/55JNPmD9/vmPr3Lhx4wgPD2fIkCFml5evSZMmOa2mSk5OJiIigh49ehAQEGBiZVcuKyuLmJgYunfvjpeXflsq5tOcLDnxqfGOVU9bErbwR/LFzcar+FWhWRX7le6aVWlG7Yq1zzcbzziDx/IpsPUjrjvxA7Vsf5LTbxZGeLMSfifFp0TnY8rfeL47AQsGtsa30qjv8zRSECD/cOGczLHkkJSR5NTvKncV1sn0k3muuko30kk30vmbv/lH1nwRT6snwT7BF6+40qorOUf/Zosr0XwUV1Ma5mTubrCCcOkw6rHHHmPixIkMHjwYgMaNG3Po0CGef/55hgwZQlhYGADx8fFUrXq+b0N8fDxNmzYFICwsjISEBKfzZmdnk5iY6Hh+WFgY8fHOvyHMvZ/fmNzjefHx8cHHx+eix728vNx2cuUqDe9BShfNyaJlGEbRNxv3Cob+b0KDvrDoQSwnf8dzXk/o+Bh0/D8oRT+YFvt8tNng2zHn+kRdj/WmV7FesNVc5J+8vLzw9/Kngl8FqpP/dsHcXle5QVVur6sL+17lBlcn00+SkpVCti2bhLQEEtIS8j0/QAXvCo5wKq8rDDru6wqDpY7+zRZXovkorsad52Rh6nbpMCo1NRWr1fny3R4eHthsNgBq1qxJWFgYK1ascIRPycnJrF+/nlGjRgEQGRnJqVOn2LRpEy1atABg5cqV2Gw2Wrdu7RjzxBNPkJWV5fjixcTEULduXYKCghxjVqxYwbhx4xy1xMTEEBkZWWzvX0SkpGTbstmbuJdN8ZvYnLCZLQlbSExPdBpTZM3Gr4+G0etg8XjY+TX89ALsWwoD3oKQekX0jkq5X16F/SvA0w8GfQA+5fN/jkghXHiFwVrUynd87hUGHeHVuSsM5hVeJaYnkmPkcCbzDGcyzxToCoOeVk+ncMoRYp2772jgfu5xrboSERFxbS4dRvXt25fnnnuO6tWr07BhQ7Zs2cL06dO57777ALBYLIwbN45nn32WOnXqULNmTZ588knCw8Pp378/APXr16dnz56MGDGCOXPmkJWVxdixYxk8eDDh4eEA3HHHHUybNo1hw4bx+OOPs2PHDmbMmMGrr77qqOXhhx+mU6dOvPLKK/Tp04dPP/2UjRs38vbbb5f410VE5GqlZ6ez/e/t9vApfjPbTmwjNdt5j7e31ZvGVRrTPKQ5LUJb0KRKE8p7F1Ho4R8Mg+ZBvZtg8aNwfCu81RGinoLWo+Afv4iQCxxaCyuftd/u/RKENjC3HhGu7AqDhV51lZpAQuqVr7rKM7zyq6RVVyIiIiZw6TDqjTfe4Mknn2T06NEkJCQQHh7O/fffz5QpUxxjJkyYQEpKCiNHjuTUqVO0b9+epUuX4uvr6xjzySefMHbsWLp164bVamXgwIG8/vrrjuOBgYEsW7aMMWPG0KJFCypXrsyUKVMYOXKkY0zbtm2ZP38+kydP5t///jd16tRh4cKFNGrUqGS+GCIiV+F0xmm2JmxlU4I9fNp5cifZtmynMRW8KtA0pCnNQ+3hU8NKDfH2KOatX43/BTXawaKx8Mdy+OHfsGcJ9J8FQTWK97XdUcrf8MUwMGxww23Q7G6zKxIpNHdZdZVnkKVVVyIiUgxybDlsjN/ItsxthMSH0Cq8FR5WD7PLKlYWwzAMs4soK5KTkwkMDOT06dNu3cB8yZIl9O7d2233sUrpojmZt/iUeDYnbHZsu/sj6Q8MnL/dh/iF2Ps9nev5VCeozvlm4yXNMGDTXPhhMmSlgHd56Pm8PWxxoxULxTofbTaYP8ge2lWqAyNXaXue5KusfY+83KqrxPREpyArMT2Rs1lnC/0aWnV15crafBTXpvkormL5oeW8sOEFpyvdhvqHMrHVRKJqRJlYWeEVJvNw6ZVRIiKSv2JpNl7SLBZoeR/U6gxfj4Ij62DRg7BnMfR9HSqEml2h+X55zR5EefrCreoTJZKXolx1lVd4VVyrrnLHaNWViEjZsvzQcsavGn/RL40TUhMYv2o80ztPd7tAqqAURomIuJkSbTZe0oJrwb1LYO0b8ONz9sbms9rATa9Cw/5mV2eeQ7Hn+0T1eglCG5pbj0gpUVS9ri616qqoel3ldT/AO8B1fqEgIiKFlmPL4YUNL1wURAEYGFiw8OKGF+kS0aVUbtlTGCUi4uJMbzZe0qwe0H4c1OkOX98PcdthwRDYMwh6vwx+QWZXWLJSTsIX94GRA41vheb3mF2RSJnk0quu8gmvXGHVVVnshyIiBWcYBjbDZv+DjRxbDjbDRo7h/HfuH6fHbc7H87rt9Ni5c9u4/PMv+Zq2AtT0j/EGxkWv9Xfa305b8y76mmAQlxrH5oTN3Bh2Ywn+v1EyFEaJiLgYl202XtJCG8LwlfDTi7BmOmxfAAd/gZvfgNqlc7nyRWw2eyB35hhUqg03TXerHloiZdnVrLrKK6y68L67rbr6Zz+UBSsWuG0/FCm7csMFwzAuGYQUKJw4N97AuGTgUtAQJM96ChCC5BfcXFHg8s9aChMmnXtM8nYi9YTZJRQLhVEiIia7kmbjtSvWLhu/Ufb0hm5PwvU97aFM4n74eCC0HAY9ngHvcmZXWLzWvg5/xNj7RA36AHwqmF2RiBSDwq66ysjJcGwRNHvVVbBv8GV/GVKW+6GUpAtDgEuGBrYCBhh5nceVA5dzr2fjH6te8nmtHFsOKakpzPh6htOKnLzea46RY/b/xYL9e6XVYsXD4uG4feH9f/7tdNya9ziLxXLJ53tYPbBgueTzL3vbmv/Yw8mH+Wj3R/m+7yr+VUrgq1vyFEaJiJSgC5uNb0nYwqb4Te7XbNwMETfCA2tg+VTY8BZsfA/2r4QBc6B6G7OrKx6H18GKp+23e74AYY3MrUdEXIaPh4/Lrrq6MKyq6FORWVtnXbIfCsDz65+nceXGWCyWvFdpXOH2mxwj56JgobhWnuQXYlwyuLEV/HXyPNeF4VIeX2MpoLSiOY0jtLhMiJFvYJJHcFKowCWPEKQggYvVYsVK3iFKvnVYLx/MXDa4ucTX5lLPL22fhXNsOSw7tIyE1IQ8/xu2YCHUP5TmIc1NqK74KYwSESlGpbrZeEnz9ofeL0G93rBwNCQdgLm9oO1D0OXf4OljdoVFJzXxfJ+oRv+CFkPNrkhE3NTVrrrKL7wq7Kqrf0pISyDqC62MKgmFDUHyCzEcQcS5EONKV544gpBLPP+S57nESpVLBjfnxluw4GH1wJZjY93adXRo3wEfL5/L15vHKpe86hMpDA+rBxNbTWT8qvFYsDgFUhbs8+nxVo+X2t0QCqNERIpQmWs2boZanWHUWlg6Ebb9D355DX6PgVvegrDGZld39Ww2+PoBSP4Lgq+Dvq+pT5SIlJjCrro6k3mGk2kn8wyudp3cxc6TOwv0upf64b5YQox/rObIbxXHRQHEFa4cyfc9FXBrUWEClwuPi7OsrCyOeh6lfnB9vLzMbfAvZVdUjSimd57u1FcPINQ/lMdbPV6qtzErjBIRuQpqNm4Sv4r2LXr1+sC34yBhJ7zdBbpMgrYPg4cb//MW+wb8/gN4+MCt6hMlIq7LarES6BNIoE9gnquufo37lft+uC/f87zX4z1aVW1VHCWKiLi8qBpRdInowoZjG4iJjaF7ZPcyccVRN/60LiJS8grSbLyKXxVHv6cWoS3KTrNxM9TvCxFt4NuHYe9ie4+lvd/DgLeg0nVmV1d4h9fD8mn2271eKB0rvUSkzGoe0pxQ/9B8+6G0CG1hQnUiIq7Dw+pBy9CWJHgn0DK0ZZn42UFhlIjIJVxRs/GQ5lSrUMabjZe08lVg8Cf2LXvfPw5Hf4U57aH70/ar7lndZGuCU5+ogdDiXrMrEhG5KmW9H4qIiFyawigRkXPUbNyNWSzQ9A64tgN8MxoO/AxL/g/2LIabZ0LgNWZXeHmGAQtHQfJRCK4FN72mPlEiUiqU5X4oIiJyaQqjRKTMUrPxUqhiBNz9Dfz6DsRMgT9/hFmR9qvw3XCb6wY8sW/CvqX2PlGD5oFvgNkViYgUmbLaD0VERC5NYZSIlBlqNl5GWK3Q+n6o1QUWPgB/bYKv74c939lXHJVzsZVsRzbA8qn22z2fh6pNTC1HRKQ4lMV+KCIicmkKo0Sk1FKz8TKuyvVw3zJY8yr89ALs/hYOr4O+r0O93mZXZ5fbJ8qWDQ0HQMv8rzolIiIiIuLuFEaJSKlgGAZ/nv5TzcbFmYcndHoM6nSHrx+AE7vh09uh6V32VUhmboczDFg4Gk4fgaCa9pBMc1FEREREygCFUSLilnKbjW84voGlKUt55atXSMpIchqjZuPiEN4URq6CH5+DtW/A1o/hwE/QfxbU7GhOTbEzYd/34OENt36gPlEiIiIiUmYojBIRt6Bm43LVvHyhxzNQt5d9ldSpQ/BBX2g9CqKeAi+/kqvlyK+w/Cn77ej/qE+UiIiIiJQpCqNExCUVtNl4kypN8Ev04/YOt9MktImajUv+arSFUb/AssmwaR6snw37V8CAOXBNi+J//Qv7RDXoDzcOL/7XFBERERFxIQqjRMQlXGmzcVuOjSVLltC0SlO8PLxMql7cjk8F6DsD6vaBRQ/C3/vg3e7Q4VHoNAGKay4ZBnwzBk4ftveJ6qc+USIiIiJS9iiMEpESZxgGB5IPFEmzcVuOraTKltLo+h4wOhYWPwo7v4KfX4Lff4ABb0FI/aJ/vXWzYO8Se5+oQfPAN7DoX0NERERExMUpjBKRYpfbbDx31dOWhC0kpic6jVGzcTGNfzAMmgv1+thDqePb4K1O0O1JaDMarB5F8zpHN0HMBX2iwpsWzXlFRERERNyMwigRKXJqNi5uqfG/oEY7+7a9P2LsPaX2fm+/4l7QtVd37rQkWDAUbFnQ4Gb1iRIRERGRMk1hlIhctYI2G28a0pTmofbwqWGlhmo2Lq4noCrcuQA2fwBL/w2HfoHZ7ewrmZrfc2X9nQwDvhl7rk/UtdDvDfWJEhEREZEyTWGUiBTalTYb9yiq7U4ixcligRZDoWYnWDgKDsfCtw/BnsX2huMVwgp3vvVzYM936hMlIiIiInKOwigRuSzDMDiYfJDN8ZsdAdSVNhsXcSvBNWHoYoidCSufsTc2n9UG+kyHRrcU7Bx/bYJlT9pv93gWwpsVX70iIiIiIm5CYZSIOLmw2fiWhC1sTtisZuNSdlk9oN1DUDsKvr4f4n6DL+61r3Tq/V978/NLSTt1vk9U/b7QamRJVS0iIiIi4tIURomUcWo2LlIAoQ1g+Ar4+SVYPR12fAkHf4GbZ0KdKPsYWw6WQ2u4JjEWy8EA2PgOnDoMFWtAvzfVJ0pERERE5ByFUSJljJqNi1whT2/oOhmu7wVfj4STf8AnA6HFvVCjLSx/Cs/kY7QEODTb/hyLh71PlF9F8+oWEREREXExCqNESjk1GxcpYtVawP2rYcU0e3PyTXPtf/Ji5MDpo3BN85KtUURERETEhSmMEilFCtNsvFlIM/vKp5AWajYuUlje/tDrRagTDZ/8yx465ckCSydCvT72/lMiIiIiIqIwSsSdZduy2Zu01x4+nQug1GxcpAR5eF0miAIwIPkvOLQWanYosbJERERERFyZwigRN6Jm4yIu5mx80Y4TERERESkDFEaJuDA1GxdxceVDi3aciIiIiEgZoDBKxIWo2biIm6nRFgLCIfk4/OO/VTuL/XiNtiVdmYiIiIiIy1IYJWKSgjYbrxFQg+YhzdVsXMQVWT2g54vw+T2ABedA6tx/pz1fUPNyEREREZELKIwSKSGFaTaeu/KpeWhzNRsXcXUN+sGtH8LSxyH52PnHA8LtQVSDfubVJiIiIiLighRGiRQTNRsXKUMa9IN6fcj+82e2rv6Bph2i8azVUSuiRERERETyoDBKpIio2bhIGWf1wKjRnr92JtOkRnsFUSIiIiIil6AwSuQKqdm4iIiIiIiISOEpjBIpADUbFxERERERESkaCqNE8qBm4yIiIiIiIiLFQ2GUCGo2LiIiIiIiIlJSFEZJmaRm4yIiIiIiIiLmUBglZYKajYuIiIiIiIi4BoVRUuqo2biIiIiIiIiI61IYJW5PzcZFRERERERE3IfCKHE7ajYuIiIiIiIi4r4URonLU7NxERERERERkdJDYZS4HDUbFxERERERESm9FEaJqdRsXERERERERKRsURglJUrNxkVERERERETKNoVRUmA5thw2xm9kW+Y2QuJDaBXeKt+tcbnNxnODp60JW9VsXERERERERKQMUxglBbL80HJe2PAC8anxACxYsYBQ/1AmtppIVI0oxzg1GxcRERERERGRy1EYJflafmg541eNv6iJeEJqAo+seoS7G9xNZk6mmo2LiIiIiIiISL4URsll5dhyeGHDCxcFTIDjsY92feT0uJqNi4iIiIiIiMilKIySy9qcsNmxNe9yoqpH0atmLzUbFxEREREREZHLUhgll3Ui9USBxnWv0Z0e1/Yo5mpERERERERExN1ZzS5AXFsV/ypFOk5EREREREREyjaFUXJZzUOaE+ofioW8ez5ZsBDmH0bzkOYlXJmIiIiIiIiIuCOXD6OuvfZaLBbLRX/GjBkDQHp6OmPGjKFSpUqUL1+egQMHEh/v3OPo8OHD9OnTB39/f0JCQnjsscfIzs52GrNq1SqaN2+Oj48PtWvXZt68eRfVMnPmTK699lp8fX1p3bo1GzZsKLb37So8rB5MbDUR4KJAKvf+460e19XxRERERERERKRAXD6M+vXXXzl+/LjjT0xMDACDBg0C4JFHHuHbb79lwYIF/PTTTxw7doxbbrnF8fycnBz69OlDZmYma9eu5YMPPmDevHlMmTLFMebAgQP06dOHLl26sHXrVsaNG8fw4cP54YcfHGM+++wzxo8fz1NPPcXmzZtp0qQJ0dHRJCQklNBXwjxRNaKY3nk6If4hTo+H+ocyvfN0ompEmVSZiIiIiIiIiLgbl29gXqWKcy+iF154geuuu45OnTpx+vRp3nvvPebPn0/Xrl0BmDt3LvXr12fdunW0adOGZcuWsWvXLpYvX05oaChNmzblmWee4fHHH2fq1Kl4e3szZ84catasySuvvAJA/fr1WbNmDa+++irR0dEATJ8+nREjRnDvvfcCMGfOHBYvXsz777/PxIkT86w9IyODjIwMx/3k5GQAsrKyyMrKKtovVDHrFN6J9v3a8+vxX/nx1x/pcmMXbqx6Ix5WD7d7L1K65M4/zUNxBZqP4mo0J8WVaD6KK9F8FFdTGuZkYWp3+TDqQpmZmXz88ceMHz8ei8XCpk2byMrKIirq/MqcevXqUb16dWJjY2nTpg2xsbE0btyY0NBQx5jo6GhGjRrFzp07adasGbGxsU7nyB0zbtw4x+tu2rSJSZMmOY5brVaioqKIjY29ZL3PP/8806ZNu+jxZcuW4e/vf6VfBtM18W5C4rZEftj2Q/6DRUpI7qpJEVeg+SiuRnNSXInmo7gSzUdxNe48J1NTUws81q3CqIULF3Lq1CmGDh0KQFxcHN7e3lSsWNFpXGhoKHFxcY4xFwZRucdzj11uTHJyMmlpaSQlJZGTk5PnmD179lyy3kmTJjF+/HjH/eTkZCIiIujRowcBAQEFf+MuJCsri5iYGLp3746Xl5fZ5YhoTopL0XwUV6M5Ka5E81FcieajuJrSMCdzd4MVhFuFUe+99x69evUiPDzc7FIKxMfHBx8fn4se9/LyctvJlas0vAcpXTQnxZVoPoqr0ZwUV6L5KK5E81FcjTvPycLU7fINzHMdOnSI5cuXM3z4cMdjYWFhZGZmcurUKaex8fHxhIWFOcb88+p6uffzGxMQEICfnx+VK1fGw8MjzzG55xARERERERERkfy5TRg1d+5cQkJC6NOnj+OxFi1a4OXlxYoVKxyP7d27l8OHDxMZGQlAZGQk27dvd7rqXUxMDAEBATRo0MAx5sJz5I7JPYe3tzctWrRwGmOz2VixYoVjjIiIiIiIiIiI5M8ttunZbDbmzp3LkCFD8PQ8X3JgYCDDhg1j/PjxBAcHExAQwIMPPkhkZCRt2rQBoEePHjRo0IC7776bl156ibi4OCZPnsyYMWMcW+geeOAB3nzzTSZMmMB9993HypUr+fzzz1m8eLHjtcaPH8+QIUNo2bIlrVq14rXXXiMlJcVxdT0REREREREREcmfW4RRy5cv5/Dhw9x3330XHXv11VexWq0MHDiQjIwMoqOjmTVrluO4h4cH3333HaNGjSIyMpJy5coxZMgQnn76aceYmjVrsnjxYh555BFmzJhBtWrVePfdd4mOjnaMue222zhx4gRTpkwhLi6Opk2bsnTp0ouamouIiIiIiIiIyKW5RRjVo0cPDMPI85ivry8zZ85k5syZl3x+jRo1WLJkyWVfo3PnzmzZsuWyY8aOHcvYsWPzL1hERERERERERPLkNj2jRERERERERETE/SmMEhERERERERGREqMwSkRERERERERESozCKBERERERERERKTEKo0REREREREREpMQojBIRERERERERkRKjMEpEREREREREREqMwigRERERERERESkxCqNERERERERERKTEKIwSEREREREREZESozBKRERERERERERKjMIoEREREREREREpMQqjRERERERERESkxHiaXUBZYhgGAMnJySZXcuWysrJITU0lOTkZLy8vs8sR0ZwUl6L5KK5Gc1JcieajuBLNR3E1pWFO5mYdudnH5SiMKkFnzpwBICIiwuRKRERERERERESK3pkzZwgMDLzsGItRkMhKioTNZuPYsWNUqFABi8VidjlXJDk5mYiICI4cOUJAQIDZ5YhoTopL0XwUV6M5Ka5E81FcieajuJrSMCcNw+DMmTOEh4djtV6+K5RWRpUgq9VKtWrVzC6jSAQEBLjtfyBSOmlOiivRfBRXozkprkTzUVyJ5qO4Gnefk/mtiMqlBuYiIiIiIiIiIlJiFEaJiIiIiIiIiEiJURglheLj48NTTz2Fj4+P2aWIAJqT4lo0H8XVaE6KK9F8FFei+SiupqzNSTUwFxERERERERGREqOVUSIiIiIiIiIiUmIURomIiIiIiIiISIlRGCUiIiIiIiIiIiVGYZSIiIiIiIiIiJQYhVGl1PPPP8+NN95IhQoVCAkJoX///uzdu9dpTHp6OmPGjKFSpUqUL1+egQMHEh8f7zi+bds2br/9diIiIvDz86N+/frMmDHjotdatWoVzZs3x8fHh9q1azNv3rx86/vtt9/o0KEDvr6+RERE8NJLL131exbX5spz8uDBg1gslov+rFu3rkjeu7iekpqPx48f54477uD666/HarUybty4AtV3+PBh+vTpg7+/PyEhITz22GNkZ2df9fsW1+Tq8zGv74+ffvrpVb9vcV0lNSe/+uorunfvTpUqVQgICCAyMpIffvgh3/r0ObJsceX5qM+QZVNJzck1a9bQrl07KlWqhJ+fH/Xq1ePVV1/Ntz63+R5pSKkUHR1tzJ0719ixY4exdetWo3fv3kb16tWNs2fPOsY88MADRkREhLFixQpj48aNRps2bYy2bds6jr/33nvGQw89ZKxatcrYv3+/8dFHHxl+fn7GG2+84Rjz559/Gv7+/sb48eONXbt2GW+88Ybh4eFhLF269JK1nT592ggNDTXuvPNOY8eOHcb//vc/w8/Pz3jrrbeK54shLsGV5+SBAwcMwFi+fLlx/Phxx5/MzMzi+WKI6UpqPh44cMB46KGHjA8++MBo2rSp8fDDD+dbW3Z2ttGoUSMjKirK2LJli7FkyRKjcuXKxqRJk4r0ayCuw5Xno2EYBmDMnTvX6ftjWlpakb1/cT0lNScffvhh48UXXzQ2bNhg7Nu3z5g0aZLh5eVlbN68+ZK16XNk2ePK81GfIcumkpqTmzdvNubPn2/s2LHDOHDggPHRRx8Z/v7+l/1+507fIxVGlREJCQkGYPz000+GYRjGqVOnDC8vL2PBggWOMbt37zYAIzY29pLnGT16tNGlSxfH/QkTJhgNGzZ0GnPbbbcZ0dHRlzzHrFmzjKCgICMjI8Px2OOPP27UrVu30O9L3JcrzcncDxJbtmy5wncj7q645uOFOnXqVKAf/pcsWWJYrVYjLi7O8djs2bONgIAAp++bUnq50nw0DHsY9fXXXxe4fil9SmJO5mrQoIExbdq0Sx7X50hxpfmoz5BiGCU7JwcMGGDcddddlzzuTt8jtU2vjDh9+jQAwcHBAGzatImsrCyioqIcY+rVq0f16tWJjY297HlyzwEQGxvrdA6A6Ojoy54jNjaWjh074u3t7fScvXv3kpSUVLg3Jm7LleZkrn79+hESEkL79u1ZtGhRod6PuLfimo9XIjY2lsaNGxMaGup4LDo6muTkZHbu3HlV5xb34ErzMdeYMWOoXLkyrVq14v3338cwjCI5r7iHkpqTNpuNM2fOXHaMPkeKK83HXPoMWbaV1JzcsmULa9eupVOnTpcc407fIz3NLkCKn81mY9y4cbRr145GjRoBEBcXh7e3NxUrVnQaGxoaSlxcXJ7nWbt2LZ999hmLFy92PBYXF+f0A1PuOZKTk0lLS8PPz++i88TFxVGzZs2LnpN7LCgoqNDvUdyLq83J8uXL88orr9CuXTusVitffvkl/fv3Z+HChfTr1+8q3624uuKcj1fiUnM495iUbq42HwGefvppunbtir+/P8uWLWP06NGcPXuWhx566KrPLa6vJOfkf//7X86ePcutt956yTH6HFm2udp81GdIKYk5Wa1aNU6cOEF2djZTp05l+PDhl6zHnb5HKowqA8aMGcOOHTtYs2bNFZ9jx44d3HzzzTz11FP06NGjCKuTssjV5mTlypUZP3684/6NN97IsWPHePnll/VBogxwtfkoZZsrzscnn3zScbtZs2akpKTw8ssvK4wqI0pqTs6fP59p06bxzTffEBIScsWvJaWbq81HfYaUkpiTq1ev5uzZs6xbt46JEydSu3Ztbr/99qsp2yVom14pN3bsWL777jt+/PFHqlWr5ng8LCyMzMxMTp065TQ+Pj6esLAwp8d27dpFt27dGDlyJJMnT3Y6FhYW5nRVgNxzBAQE5LkC5XLPyT0mpZsrzsm8tG7dmj/++KPA48U9Ffd8vBL6Hll2ueJ8zEvr1q05evQoGRkZxXJ+cR0lNSc//fRThg8fzueff37RVvt/0vfIsssV52Ne9Bmy7CipOVmzZk0aN27MiBEjeOSRR5g6deola3Kr75FmN62S4mGz2YwxY8YY4eHhxr59+y46nttU7YsvvnA8tmfPnouaqu3YscMICQkxHnvssTxfZ8KECUajRo2cHrv99tsL1MD8wqtMTJo0ySWbqknRceU5mZfhw4cbzZo1K9RzxH2U1Hy8UGEbmMfHxzsee+utt4yAgAAjPT093+eL+3Hl+ZiXZ5991ggKCrqi54p7KMk5OX/+fMPX19dYuHBhgWrT58iyx5XnY170GbL0M+Pf7VzTpk0zatSoccnj7vQ9UmFUKTVq1CgjMDDQWLVqldNlRlNTUx1jHnjgAaN69erGypUrjY0bNxqRkZFGZGSk4/j27duNKlWqGHfddZfTORISEhxj/vzzT8Pf39947LHHjN27dxszZ840PDw8jKVLlzrGvPHGG0bXrl0d90+dOmWEhoYad999t7Fjxw7j008/zfcSleL+XHlOzps3z5g/f76xe/duY/fu3cZzzz1nWK1W4/333y/mr4qYpaTmo2EYxpYtW4wtW7YYLVq0MO644w5jy5Ytxs6dOx3Hv/rqK6cPCNnZ2UajRo2MHj16GFu3bjWWLl1qVKlSxZg0aVIxfkXETK48HxctWmS88847xvbt243ff//dmDVrluHv729MmTKlGL8iYraSmpOffPKJ4enpacycOdNpzKlTpxxj9DlSXHk+6jNk2VRSc/LNN980Fi1aZOzbt8/Yt2+f8e677xoVKlQwnnjiCccYd/4eqTCqlALy/DN37lzHmLS0NGP06NFGUFCQ4e/vbwwYMMA4fvy44/hTTz2V5zn+mcT++OOPRtOmTQ1vb2+jVq1aTq+Re55/Pmfbtm1G+/btDR8fH+Oaa64xXnjhhSL+CoirceU5OW/ePKN+/fqGv7+/ERAQYLRq1crpUqxS+pTkfMxvzNy5c41/LlQ+ePCg0atXL8PPz8+oXLmy8eijjxpZWVnF8aUQF+DK8/H77783mjZtapQvX94oV66c0aRJE2POnDlGTk5OcX05xAWU1Jzs1KlTnmOGDBnidB59jizbXHk+6jNk2VRSc/L11183GjZs6JhfzZo1M2bNmuX0b7A7f4+0GIauzSsiIiIiIiIiIiVDDcxFRERERERERKTEKIwSEREREREREZESozBKRERERERERERKjMIoEREREREREREpMQqjRERERERERESkxCiMEhERERERERGREqMwSkRERERERERESozCKBERERERERERKTEKo0REREREREREpMQojBIRERERERERkRKjMEpERETEjQwdOhSLxXLRn+HDh5tdmoiIiEiBeJpdgIiIiIgUTs+ePZk7d67TY/7+/iZVIyIiIlI4WhklIiIi4mZ8fHwICwtz+hMQEADAl19+ScOGDfHx8eHaa6/llVdeuej58+bNu2hlVdOmTUv4XYiIiEhZpTBKREREpJTYtGkTt956K4MHD2b79u1MnTqVJ598knnz5l00NiAggOPHj3P8+HEeffTRki9WREREyixt0xMREREpJaZPn063bt148sknAbj++uvZtWsXL7/8MkOHDnWMy8jIwNvbm7CwMADKly9vRrkiIiJSRmlllIiIiEgpsXv3btq1a+f0WLt27fj999/JyclxPHby5EnHtj4RERGRkqYwSkRERKSM+fPPP6lZs6bZZYiIiEgZpTBKREREpJSoX78+v/zyi9Njv/zyC9dffz0eHh6Ox37++Wc6dOhQ0uWJiIiIAOoZJSIiIlJqPProo9x4440888wz3HbbbcTGxvLmm28ya9YsANLS0nj33XfZv38/vXr1Ii4uDoCzZ8+SnZ1NYmIiwcHBZr4FERERKQMshmEYZhchIiIiIgUzdOhQTp06xcKFC/M8/uWXXzJlyhR+//13qlatyoMPPsj//d//ATBv3jzuvffeS567U6dOrFq1qhiqFhERETlPYZSIiIhIGTFv3jxWrVrFvHnzLjq2detWxo0bpzBKREREip16RomIiIiUEX5+fgQGBuZ5zMvLS1v0REREpERoZZSIiIiIiIiIiJQYrYwSEREREREREZESozBKRERERERERERKjMIoEREREREREREpMQqjRERERERERESkxCiMEhERERERERGREqMwSkRERERERERESozCKBERERERERERKTEKo0REREREREREpMT8P5wtTkhEoa0dAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1400x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "salary_by_company_size = df.groupby(['work_year', 'company_size'])['salary_in_usd'].mean().unstack()\n",
+    "\n",
+    "salary_by_company_size.plot(kind='line', figsize=(14, 8), marker='o')\n",
+    "plt.title('Средняя зарплата по размеру компании')\n",
+    "plt.xlabel('Год')\n",
+    "plt.ylabel('Средняя зарплата USD')\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.legend(title='Размер компании')\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная диаграмма показывает средние зарплаты исходя из размеров компании по годам"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_slice = df.iloc[1:3753]\n",
+    "last_years = df_slice['work_year'].max()\n",
+    "df_filtr = df_slice[df_slice['work_year'] == last_years]\n",
+    "salary_by_employment_type = df_filtr.groupby('employment_type')['salary_in_usd'].max()\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "salary_by_employment_type.plot(kind='bar', color='purple')\n",
+    "plt.title(f'Максимальная зарплата по типу занятости {last_years}')\n",
+    "plt.xlabel('Тип занятости')\n",
+    "plt.ylabel('Зарплата USD')\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная диаграмма показывает максимальную зарплату исходя из типа занятости за последний год (не учитывая первую и последнюю строки датасета)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "aimenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Lab1/requirements.txt b/Lab1/requirements.txt
new file mode 100644
index 0000000..a3c6bbc
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