{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 神奈川県のコロナデータ分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 864x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(style=\"darkgrid\", rc=None)\n",
    "sns.set(font_scale = 1.2)\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "import japanize_matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/tsu-nera/repo/hack-for-corona\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.append('../')\n",
    "%cd '../'\n",
    "\n",
    "import src.tool as tool\n",
    "\n",
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "patients = tool.read_patients()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "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>感染例番号</th>\n",
       "      <th>情報公開日</th>\n",
       "      <th>発病確認日</th>\n",
       "      <th>居住地</th>\n",
       "      <th>年代</th>\n",
       "      <th>性別</th>\n",
       "      <th>職業</th>\n",
       "      <th>備考</th>\n",
       "      <th>情報元</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>378</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>神奈川県横浜市</td>\n",
       "      <td>50代</td>\n",
       "      <td>男性</td>\n",
       "      <td>会社員</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.pref.kanagawa.jp/documents/58277/2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>379</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>神奈川県横浜市</td>\n",
       "      <td>20代</td>\n",
       "      <td>男性</td>\n",
       "      <td>会社員</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.pref.kanagawa.jp/documents/58277/2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>380</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>神奈川県横浜市</td>\n",
       "      <td>40代</td>\n",
       "      <td>男性</td>\n",
       "      <td>会社員</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.pref.kanagawa.jp/documents/58277/2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>381</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>神奈川県横浜市</td>\n",
       "      <td>20代</td>\n",
       "      <td>男性</td>\n",
       "      <td>学生</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.pref.kanagawa.jp/documents/58277/2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>382</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>2020-04-08</td>\n",
       "      <td>神奈川県横浜市</td>\n",
       "      <td>30代</td>\n",
       "      <td>女性</td>\n",
       "      <td>歯科医師</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.pref.kanagawa.jp/documents/58277/2...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     感染例番号       情報公開日       発病確認日      居住地   年代  性別    職業   備考  \\\n",
       "377    378  2020-04-09  2020-04-08  神奈川県横浜市  50代  男性   会社員  NaN   \n",
       "378    379  2020-04-09  2020-04-08  神奈川県横浜市  20代  男性   会社員  NaN   \n",
       "379    380  2020-04-09  2020-04-08  神奈川県横浜市  40代  男性   会社員  NaN   \n",
       "380    381  2020-04-09  2020-04-08  神奈川県横浜市  20代  男性    学生  NaN   \n",
       "381    382  2020-04-09  2020-04-08  神奈川県横浜市  30代  女性  歯科医師  NaN   \n",
       "\n",
       "                                                   情報元  \n",
       "377  https://www.pref.kanagawa.jp/documents/58277/2...  \n",
       "378  https://www.pref.kanagawa.jp/documents/58277/2...  \n",
       "379  https://www.pref.kanagawa.jp/documents/58277/2...  \n",
       "380  https://www.pref.kanagawa.jp/documents/58277/2...  \n",
       "381  https://www.pref.kanagawa.jp/documents/58277/2...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "patients.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "patients = patients.drop([\"感染例番号\",\"備考\", \"情報元\"], axis=1)\n",
    "patients[\"id\"] = patients.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "神奈川県の感染者 382人(2020-04-09現在)\n"
     ]
    }
   ],
   "source": [
    "n = len(patients)\n",
    "latest_date = patients.iloc[-1][\"情報公開日\"]\n",
    "print(\"神奈川県の感染者 {}人({}現在)\".format(n, latest_date))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 感染者数の時系列推移"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_df = patients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_df.index = pd.to_datetime(patients[\"情報公開日\"])\n",
    "time_df[\"date\"] = pd.to_datetime(patients[\"情報公開日\"])\n",
    "time_df[\"year\"] = time_df.index.year\n",
    "time_df[\"month\"] = time_df.index.month\n",
    "time_df[\"week_of_month\"] = time_df.index.week\n",
    "time_df[\"year_and_wom\"] = time_df.index.strftime('%Y-W%W')\n",
    "time_df[\"year_and_month\"] = time_df.index.strftime('%Y-%m')\n",
    "\n",
    "time_df = patients.sort_values(\"date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_date=time_df.iloc[0][\"date\"]\n",
    "end_date=time_df.iloc[-1][\"date\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "date=start_date\n",
    "dates=[]\n",
    "while date <= end_date:\n",
    "    dates.append(date)\n",
    "    date += dt.timedelta(days=1)\n",
    "    \n",
    "dates2=[]\n",
    "i=0\n",
    "date=start_date\n",
    "while date <= end_date:\n",
    "    if i%7 == 0:\n",
    "        dates2.append(date.strftime('%Y-%m-%d'))\n",
    "    else:\n",
    "        dates2.append(None)\n",
    "    i+=1\n",
    "    date += dt.timedelta(days=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 日別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(12, 6))\n",
    "\n",
    "ax = sns.countplot(x=\"date\", data=time_df, color=\"red\", order=dates, ax=ax)\n",
    "\n",
    "ax.set_xticklabels(dates2, rotation=40, ha=\"right\", fontsize=10)\n",
    "ax.set_xlabel('日付')\n",
    "ax.set_ylabel('感染者数')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 累計"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_days = time_df.groupby(\"date\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_days[\"date\"] = pd.to_datetime(df_days.index)\n",
    "df_days[\"count\"] = df_days[\"id\"].cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '感染者数')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(14, 4))\n",
    "\n",
    "ax = sns.barplot(x=\"date\", y=\"count\", data=df_days, ax=ax, color=\"yellow\", order=dates)\n",
    "\n",
    "ax.set_xticklabels(dates2, rotation=40, ha=\"right\", fontsize=10)\n",
    "ax.set_xlabel('日付')\n",
    "ax.set_ylabel('感染者数')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 週別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "groupby = time_df.groupby('year_and_wom')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_by_week = pd.DataFrame()\n",
    "df_by_week[\"感染者数\"] = groupby[\"id\"].count()\n",
    "df_by_week[\"累積感染者数\"] = groupby[\"id\"].count().cumsum()\n",
    "df_by_week[\"週番号\"] = df_by_week.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '感染者数')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(12, 4))\n",
    "\n",
    "ax = sns.barplot(x=\"週番号\", y=\"感染者数\", data=df_by_week, ax=ax, color=\"blue\")\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\", fontsize=10)\n",
    "ax.set_xlabel('週番号')\n",
    "ax.set_ylabel('感染者数')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>感染者数</th>\n",
       "      <th>累積感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>週別</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-W03</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W06</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W07</th>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W08</th>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W09</th>\n",
       "      <td>15</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W10</th>\n",
       "      <td>15</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W11</th>\n",
       "      <td>22</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W12</th>\n",
       "      <td>48</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W13</th>\n",
       "      <td>139</td>\n",
       "      <td>266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-W14</th>\n",
       "      <td>116</td>\n",
       "      <td>382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          感染者数  累積感染者数\n",
       "週別                    \n",
       "2020-W03     1       1\n",
       "2020-W06     3       4\n",
       "2020-W07    13      17\n",
       "2020-W08    10      27\n",
       "2020-W09    15      42\n",
       "2020-W10    15      57\n",
       "2020-W11    22      79\n",
       "2020-W12    48     127\n",
       "2020-W13   139     266\n",
       "2020-W14   116     382"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_by_week.drop([\"週番号\"], axis=1, inplace=True)\n",
    "df_by_week.index.name = '週別'\n",
    "df_by_week"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 月別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "groupby = time_df.groupby('year_and_month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_by_month = pd.DataFrame()\n",
    "df_by_month[\"感染者数\"] = groupby[\"id\"].count()\n",
    "df_by_month[\"累積感染者数\"] = groupby[\"id\"].count().cumsum()\n",
    "df_by_month[\"年月\"] = df_by_month.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '感染者数')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SRc2bN9egQYP0xhtvqHv37jp9+rT+8Y9/yGq1KjU1Vfn5+dq3b5/27t1rVG4AAACgUarRepEnn3xSkrR69WqNHTtWN954o9xut6Kjo5WUlKSMjAwFBQUpKCioQcMCAAAAjd0VC/jmzZtVVFQk6fzHz48fP15jx45VaOj5D1QYM2aMTp06pbVr1zZsUgAAAKAJqLaAFxYWKiMjQz169NDSpUt14sQJDRo0SFOmTJHH4/He75lnntG8efNUVVXV4IEBAACAxqzaAm632zV37lyFhoZqyZIluu+++zRy5Eg1a9ZMq1at8t4vISFB3bt3V25uboMHBgAAABqzaq+CEh4erpSUFP3www9auHChYmJiJEkvv/yywsPDtW3bNu99Bw0apNOnTzdsWgAAAKCRq9EH8ezbt089evTw3t67d6+aNWumefPmebcdO3ZMd9xxx9VPCAAAADQhNboKytNPP+39t8vl0o4dO/TSSy9pwIABkqT//u//1sKFC+V0Oqt9HpfLpby8PE2bNk3dunXTyZMnffbv3LlTDzzwgPr06aPBgweroKDAZ39paammTZum2267Tbfeeqtef/31Gr1JAAAAwF9UewS8pKREK1askCS98sorKigo0Lhx4zR16lRlZWXpyJEjysnJ0aeffqr33ntPLVq0qPbFFi5cqPz8fHXr1k0ul8tn38GDBzV58mTl5OSoZ8+e2rBhg8aOHav169crNjZWkjRp0iTdcMMN2rhxo0pKSvTQQw+pRYsWGjJkSH3+NwAAAAAMU+0R8BkzZigiIkKSNGHCBA0cOFBPPfWU7r77bjkcDs2aNUtpaWn6/e9/ryeffPKKJ2E+8sgjWrp0qYYNG3bRvjfffFN9+/ZVz549JUn9+/dXYmKi9/KGDodDBw8e1GOPPaagoCDFx8drwoQJWrp0aZ3eOAAAAGCGagv4H//4R40cOVIul0vbt29XXl6eysrKlJCQoOPHj6uoqEiJiYnq1KmT+vTpo5deeqnOQXbt2qXU1FSfbWlpadqxY4ckKT8/X0lJSQoJCfHZf+jQIRUXF9f5dQEAAAAjVbsE5d5771VpaalOnTqlFStWqHfv3po2bZquueYarVq1SiNHjtSaNWt06NAhDR8+XC+++GKdgzidTtntdp9tdrvdW66Li4sv2h8dHS2bzSan06m4uLgav1ZsbESdcwIAgKvHbo80OwJwWQ01n9UW8Pnz5ys+Pl6/+c1vNHDgQFmtVi1cuFBut1vNmjVTZmamHnvsMZ07d0433XRT/YIEB8tisfhs+/fbNpvtsh/08+8fClQTpaWn5HbX7jEAgLqjZOFynM4KsyMwn7isus6n1Wqp9oBvtUtQ2rVrp7CwMElSZWWlzp49q7///e/6xS9+oS1btui6667TtddeqyVLlshqrdEFVS4rLi5OJSUlPtv+/ch2XFzcRVdZKS8vl8vlqtXRbwAAAMBMtW7NLVq0UL9+/RQZGakOHTqod+/emj9/vp599llFRtb9N8jk5GRt377dZ5vD4VBycrJ3f35+vs9RcIfDoYSEBAo4AAAAGo1aF/CioiLNmTNHR44c0e7du9W8eXOFhYXp2muv1dy5c+scZNiwYcrNzdWnn34qSdq4caM++eQTDRw4UJLUo0cPJSQkKDs7W263W06nU9nZ2UpPT6/zawIAAABGq9EnYUrST3/6U1ksFv3nf/6nPB6PunXrppYtW6pTp06KjIy86AomtZWYmKg5c+YoIyNDJ06cUFxcnHJycnxOvFywYIFmzJihtLQ02Ww2DR069JKXNAQAAAD8lcVTgzMYe/bsqRYtWshqtSo0NFQxMTHq3Lmz7rvvPl1zzTWaNGmSmjdvrpdeeklt27Y1IHb9cBImABjLbo9U9JRos2PAz5RllfnNSZjMJ36sPvN5pZMwa3QEfP369fJ4PPJ4PDp79qyKi4u1Y8cOTZw4UW+99ZbWrVun1157TS+//LLmz59fp6AAAABAIKjREfDLcbvdPlc/8Xg8F11K0B9xBBwAjMURRlwKR8DhzxryCHi9rh3440sPNobyDQAAAJipfhfvBgAAAFArFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQBRwAAAAwEAUcAAAAMBAFHAAAADAQMFmB7igoKBAw4cPV0xMjM/23NxcRURESJL279+vzMxMHT16VBEREXriiSfUp08fM+ICAAAAdeI3Bby4uFgpKSlatGjRJfc7nU6NGjVK//Vf/6W+ffvq448/1oQJE7R8+XJ16NDB4LQAAABA3fjNEpTjx48rPj7+svtXrFihxMRE9e3bV5L0y1/+Un379tU777xjVEQAAACg3vymgBcXF+vaa6+97P5du3YpNTXVZ1taWpry8vIaOhoAAABw1fjVEhSbzabRo0fr8OHDat26tR577DH16tVL0vklKHa73ecxdrtdTqez1q8VGxtxVTIDAID6sdsjzY4AXFZDzaffFHCr1aqysjLNnj1bdrtdf/nLXzRmzBitWbNG7dq1k81mk8Vi8XmMxWKRx+Op9WuVlp6S2137xwEA6oaShctxOivMjsB84rLqOp9Wq6XaA75+U8AzMzN9bt91111677339MEHH2jcuHGKi4tTSUmJz32cTqfi4uKMjAkAAADUi9+sAXe73ZfcduGo94033qjt27f77Hc4HEpJSTEkHwAAAHA1+E0BnzRpkubPn6+qqipJ56//vXv3bvXv31+SdP/992vv3r368MMPJUl79uzR+++/r6FDh5qWGQAAAKgtv1mCMnPmTM2ZM0e33367qqqq1Lp1a7366qtq06aNpPMnXL722muaNWuWZs6cqRYtWujFF19UYmKiyckBAACAmvObAh4fH6+5c+dWe5+ePXtqzZo1BiUCAAAArj6/WYICAAAABAIKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGCgYLMDALh6wqOCFdY81OwY8DNnzn6v0yd/MDsGAOD/UcCBJiSseaiip0SbHQN+piyrTKdVYXYMAMD/YwkKAAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGAgCjgAAABgIAo4AAAAYCAKOAAAAGCgRlnA33rrLfXr10+9e/fWpEmTVFpaanYkAAAAoEYaXQH/05/+pOXLl+t///d/tWXLFrVu3VqPPvqo2bEAAACAGml0BXzhwoUaP3687Ha7goKCNHXqVH3++ef67LPPzI4GAAAAXFGw2QFq4+jRozp69KhSU1O920JCQpSUlKQdO3aoe/fuNXoeq9VS5wxhEcEKbR5S58ejafr+bKXOnPrB7BiSpDbRbcyOAD9Un+97VwuziUvxh9mUmE9cWl3n80qPa1QF3Ol0ymazKTo62me73W6X0+ms8fNER4df7WgIcKHNQxTa3OwU5xVMLzA7AvxQbGyE2RGYTVySP8ymxHzi0hpqPhvVEpTg4PO/L1gsvr9VWCwWeTweMyIBAAAAtdKoCnhcXJxcLpfKy8t9thcXFysuLs6kVAAAAEDNNboCnpCQoO3bt3u3VVVVac+ePUpJSTExGQAAAFAzjaqAS9KDDz6oV199VU6nU263W1lZWWrbtq1+/vOfmx0NAAAAuKJGdRKmJA0bNkwVFRX69a9/LZfLpe7du2vBggVmxwIAAABqxOLh7EUAAADAMI1uCQoAAADQmFHAAQAAAANRwAEAAAADUcABAAAAA1HAUS232212BOCSzp07Z3YE4JL4vgl/5XK5zI6A/0cBxyV9/fXXqqiokNVq5YcJ/M6+ffuUmZmptWvXqrCw0Ow4gNdnn32mrKws5ebm6syZM2bHAby+/fZbTZ8+XQUFBZIkLoJnLgo4LrJr1y5NnDhRTzzxhCTJarXyhQq/kZeXp4yMDCUkJGjTpk3Ky8uTxA8TmG/Lli3KyMhQTEyMFi1apD179pgdCfD65ptv9MUXX2jlypUqLCyUxWLhL4kmCpo5c+ZMs0PAf1RWVmrr1q2699579d1332nz5s265ZZbZLFYzI4GyOPxaPXq1Ro4cKDuu+8+RUREaP/+/br55puZUZjqzJkzWrp0qUaNGqV7771XQUFBcrlcio2NVXBwsIKCgsyOiABntVpVWVmpW265RStXrtQtt9zCXJqII+DwERISotTUVHXt2lXjxo1TUVGRcnJyzI4FSJIsFotCQ0NVWVkpSTp8+LDi4+O9+1nfCLOEhYUpOTlZrVu31tdff63s7Gzt3LlTjz76qP72t7+xlA+mCw0N1Z49e9S5c2d169ZNzz//vHJycnTmzBnm0wQcAYfKy8v1pz/9SV988YU6deqk2NhYhYaGKjw8XJ07d9bbb7+tkJAQdezYUR6PhyONMNSF+Tx48KA6d+6sX/ziF+rcubMkad26dbr77rsVExOjZcuWqaSkRO3btzc5MQLFj793JiQkKCYmRkVFRWrfvr0mT56ss2fP6siRI0pOTjY7LgLIj2fzwhI9h8OhAQMGyOPxaMmSJaqoqNADDzzAz3UTUMAD3DfffKPHH39cLVu21L59+7RlyxaFhobquuuuk9VqVWxsrFq1aqXnn39eN910k2JjY82OjAByqfmMjIxUq1atZLVaVVBQoDvvvFOZmZn66quvNGrUKAUHB5sdGwHgx7O5detWRUREqFWrVoqPj1fXrl0lSatWrVJISIiSk5MpOTDEpb5vRkVFqX379vrHP/6hAwcOKDc3V0OGDFG7du3UpUsXSWI+DcZPqgC3c+dOde3aVY8++qgkadmyZXI4HIqNjVViYqIkKSUlRXPmzFGHDh3MjIoAdKn5/OijjxQTE6PExEQ5HA5t3LhRaWlpmjt3rslpEUgu972zZcuWCgkJUX5+vtavX6+EhARNmTLF5LQIJJeaze3bt8tms+nYsWP65ptvNGXKFP5aaDLWgAeoC3+OCgkJUXh4uHf74MGDVVlZ6b2yxAU9e/Y0NB8C25Xmc9u2bZKkX/3qV0pPT9e0adNMyYnAc6XZdDgcuv7669WjRw+NGDFCzz77rFlREWCuNJuFhYV66qmnlJmZqfbt23PlKJNRwAPUhT81tWrVStu3b9fRo0clSc2bN9eQIUO0e/duVVVVmRkRAexK8/nJJ59IkkaOHKnBgweblhOB50qzuXPnTlVVValjx4669dZbzYyKAHOl2fzwww91zTXXKCoqivO5/AAFPABd+K33hx9+UFJSklJTU5WRkaEDBw6oqqpKeXl5stvtstlsJidFIKrpfHo8HkVFRZmcFoGkJrMZFxfHeQgw3JVmc+fOnYqPj/fOJuXbfBYPf4MICE6nUxUVFWrXrp3PF57b7VZlZaVWrlypb7/9Vt98841CQ0M1a9YstWjRwsTECCTMJ/wVswl/xWw2bhTwALB161a98MIL3i/SQYMG6ZZbblFZWZlGjx6t9PR03X///XK5XCosLFTHjh3NjowAwnzCXzGb8FfMZuNHAW/ijh07ppkzZ2rq1Knq1KmTVq1apSNHjqht27byeDwKCwvTnXfeaXZMBCjmE/6K2YS/YjabBtaAN3EXzoS+sO5rwIAB6tChg5xOp+644w7vFymfggUzMJ/wV8wm/BWz2TRQwJsgl8ulgoIC/fOf/1RkZKRiY2NVXFwst9utZs2aKTk5WRs2bPCeIS1JViujAGMwn/BXzCb8FbPZ9PD/ThNTVFSkUaNGadWqVXrwwQe1d+9e3XzzzVq2bJm+/PJLSZLdbvf5aFrAKMwn/BWzCX/FbDZNXCupifB4PDp37pz+53/+R/37936Cme0AAAV6SURBVNfw4cPVq1cv5eXlady4cSosLNQ777wjl8ulkydPymazeT9+FmhozCf8FbMJf8VsNm0U8CbCYrEoODhYdrtdycnJkqR//etf3jViEydO1Ndff63PP/9cLpdL99xzj5lxEWCYT/grZhP+itls2ijgTcDevXvVtm1bRURE6M4771T79u0lnT9B4+6775YkHThwQG3atFG/fv3MjIoAxHzCXzGb8FfMZtNHAW/EPB6Pnn32WR05ckRt2rRR8+bN9dxzz0mSjh49qqKiIrVu3VqrV6/W8uXLlZWVpYiICJNTI1Awn/BXzCb8FbMZOIJmzpw50+wQqJucnBxVVVUpKytLSUlJWr58ufbu3au0tDQFBQXps88+06ZNm1RQUKAXX3xRrVu3NjsyAgjzCX/FbMJfMZuBg6ugNELl5eWSpJKSEt10002SpIiICL3yyivatWuX3n//fVksFm3atEkej0cLFixQfHy8mZERQJhP+CtmE/6K2Qw8HAFvZDZs2KCXX35ZFRUVOnz4sD766CPdeuutCgkJ8Z6s8eWXX6p3797q1KmThg4dKovFYnZsBAjmE/6K2YS/YjYDE0fAG5F169bpnXfe0YQJE3Tq1Cn16tVLSUlJevnll733KSkp0ffffy9J6tWrl1lREYCYT/grZhP+itkMXBTwRuTLL7/U2LFjlZSUpJ///Ofav3+/7rrrLlVVVWn8+PHKycnR2rVr9R//8R+SxG/IMBTzCX/FbMJfMZuBiyUojcixY8cUERGhn/70p9q9e7datWqllJQU3X777Tpx4oRiYmKUnp6un/3sZ2ZHRQBiPuGvmE34K2YzcHEZwkbk/vvv9/7b4XBo1KhR3rOlO3XqpAEDBpiYDoGO+YS/Yjbhr5jNwMUSlEaqffv2iomJ0VNPPSWbzebzRQyYjfmEv2I24a+YzcBi8Xg8HrNDoPaGDx+uo0eP6pFHHtGQIUPMjgP4YD7hr5hN+CtmM7BQwBup3NxctWzZUklJSWZHAS7CfMJfMZvwV8xmYKGAN1Iej4ezoeG3mE/4K2YT/orZDCwUcAAAAMBAnIQJAAAAGIgCDgAAABiIAg4AAAAYiAIOAAFoz5492rp1q9kxACAg8UmYABCAlixZoo4dOyotLa1Wj3M4HBo5cqTCw8Mv2udyuXTzzTfrlVdeuVoxAaBJooADQIA5fvy4Nm3apI8//ljLly+XJFVUVCg4OFihoaHe+yUmJmrx4sUXPT4hIUF//vOfL9q+Zs0affjhhw0XHACaCAo4AASYOXPm6K677tILL7zg3fb444+rW7duGjlypHnBACBAUMABIIAsW7ZMDodDa9eurfNzHD58WDfffPNF2ysrK3XjjTfWJx4ABAQKOAAEkDZt2ujVV1/V4sWLtWLFCoWFhUk6vwRl06ZNWrRokfe+OTk56tq160XP0a5dO5agAEA9UMABIIBcOOkyNzdXv/vd7zRx4kRJNV+C4na7+bhsAKgnCjgAoMaqqqp0+PDhS149pbKyUr/85S9NSAUAjQsFHABQYydPntRNN92knJyci/axBAUAaoYCDgAB5MdHqN944w1J549ef/DBB1qwYIHP/r59+2r27Nne219//bVatWrV8EEBoAmjgANAAPn4448vub2ma8A3bdqkESNGNEAyAAgcFHAAQI1s27ZNhYWFuu2227zbjh07ptOnTysmJkalpaWyWq0mJgSAxoECDgCokZycHI0ZM0ZRUVHebfn5+Zo5c6YqKytlsVj05JNPmpgQABoHi8fj8ZgdAgDg/44fP67Y2FgFB3PsBgDqgwIOAAAAGIjFegAAAICBKOAAAACAgSjgAAAAgIEo4AAAAICBKOAAAACAgSjgAAAAgIH+D991eV9Y+QXvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(12, 4))\n",
    "\n",
    "ax = sns.barplot(x=\"年月\", y=\"感染者数\", data=df_by_month, ax=ax, color=\"green\")\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\", fontsize=10)\n",
    "ax.set_xlabel('年月')\n",
    "ax.set_ylabel('感染者数')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>感染者数</th>\n",
       "      <th>累積感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>月別</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02</th>\n",
       "      <td>23</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03</th>\n",
       "      <td>120</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04</th>\n",
       "      <td>238</td>\n",
       "      <td>382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         感染者数  累積感染者数\n",
       "月別                   \n",
       "2020-01     1       1\n",
       "2020-02    23      24\n",
       "2020-03   120     144\n",
       "2020-04   238     382"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_by_month.drop([\"年月\"], axis=1, inplace=True)\n",
    "df_by_month.index.name = '月別'\n",
    "df_by_month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 属性別感染者数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 地域別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "area = patients.copy()\n",
    "area[\"居住地\"] = area[\"居住地\"].apply(tool.cut_ku)\n",
    "area_df = area.groupby(\"居住地\").count().sort_values(\"id\", ascending=False)[\"id\"].to_frame()\n",
    "area_df.rename(columns={\"id\": \"感染者数\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>居住地</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>神奈川県横浜市</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県相模原市</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県厚木保健福祉事務所管内</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県平塚保健福祉事務所管内</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県横須賀市</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県藤沢市</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県鎌倉保健福祉事務所管内</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県小田原保健福祉事務所管内</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県茅ケ崎市保健所管内</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市外</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  感染者数\n",
       "居住地                   \n",
       "神奈川県横浜市            102\n",
       "神奈川県川崎市             84\n",
       "神奈川県相模原市            39\n",
       "神奈川県厚木保健福祉事務所管内     37\n",
       "神奈川県平塚保健福祉事務所管内     32\n",
       "神奈川県横須賀市            23\n",
       "神奈川県藤沢市             23\n",
       "神奈川県鎌倉保健福祉事務所管内     19\n",
       "神奈川県小田原保健福祉事務所管内     9\n",
       "神奈川県茅ケ崎市保健所管内        9\n",
       "神奈川県                 4\n",
       "市外                   1"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "area_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ls2bNADh37hwzZ84ssuJERERERESKi2v2PMXHx/Pzzz9TpUoVtm7dypYtWwgKCqJp06Z/WFbD+EREREREpKS77jVPJpMJb29vfHx8cHFxYcCAAVy8eJH77ruPw4cPc99995GYmMh9991XFPWKiIiIiIg4xDWH7RUoeLZTAU9PTwYNGsT+/fsZNGjQbStMRERERESkOLluz1P//v3/MK1bt25s27aNoKAgKleubPtPRERERESkpLqh8FTQC+Xt7U3r1q1ZtmzZ7atMRERERESkGLnusL2rffDBB7Z/Dx48GC8vr1tekIiIiIiISHF03Z6nq9WtW9f2b1dXV8qVKwdAVlbWra1KRERERESkmLE7PG3atIm+ffvy+eefA/Doo4/a5r388stERUXd+upERERERESKCbvDU5MmTXj++ef5+OOPgf9d/3Tq1Cl2797NPffcc3sqFBERERERKQaue83T559/zsWLFwG4cOGCbXrBg3E//PBDHn/8cdzd3W9TiSIiIiIiIo533Z6nuXPnkp2dTXZ2Nvn5+bz22mu2eXv37iUmJoYnnnjidtYoIiIiIiLicNfsefr111+vLODqyuOPP46Pj0+h+RcuXODVV19lypQp6nUSEREREZES75rhacqUKQCkpKTwwAMPYLVaGTFiBGXLlmXHjh1kZmbSvHlzoqOjiY6OBuDJJ58smqpFRERERESK2DXD0/z58wHo2rUra9as4ccff+Tf//43DRs2xGKxAJCRkUFKSkrRVCoiIiIiIuJA171hRMWKFQFo1KgR8+bNo1+/fnzzzTesXLmS7OxsWrZsSatWrW57oSIiIiIiIo70lzeMyMnJYfTo0QCMGjWK7777jrVr1+Lr64uXlxezZs1izJgxnDhxokiKFRERERERcZS/DE8jRoxg6dKlnDhxgu7du7Nx40Y2btxom1+5cmWefvppJkyYcNsLFRERERERcaRrhqdDhw5hNpt54YUXGD58OBkZGcycOZP33nuPXbt22Zbr2bMnBw4cYN++fUVSsIiIiIiIiCNcMzzVqFGDmTNnkpmZSdu2benSpQtWq5WJEyfi6+uLYRgAmM1mevfuzaZNm4qsaBERERERkaJ23RtGBAQE8Nxzz9l+DgkJwcPDg88//9w2rUGDBoSEhNyeCkVERERERIqBv7zmCaB79+6Ffp41axadO3dm4sSJAKxfv56hQ4faHqorIiIiIiJSEl2z5+ny5ct8++23AKxbt45du3bRv39/Ro8eTYMGDVixYgVbt27lrbfeYv78+dSvX7/IihYRERERESlq1wxP4eHhlClThry8PFq1akV6ejoDBw6kTp06JCQk8Mknn3Dy5EkmTJjAmjVruHjxIvfcc09R1i4iIiIiIlJkrjls79133+Xtt9/GbDaTnZ2Ni4sLJpOJxMRE3N3dMZlMNGnShJo1a+Lr68uoUaOKsm4REREREZEidc3w9PLLL9OnTx8OHTrEgAED2L9/P++88w5ffvklvXv3pm/fvqSmpnLx4kWef/55zpw5U5R1i4iIiIiIFKlrDtvr0aMHQUFBvPzyy0ydOpXDhw9z6tQplixZgpubG+Hh4UyfPp3o6Gi++eYbXFyue+8JERERERERp3XNxNO+fXsaNmyIi4sLZ8+e5cSJE3z88cdcunSJxYsX07hxY/bv38+SJUtwd3cnPz+/KOsWEREREREpUjfUXWQ2m3nqqacoX748wcHBvPDCC6xdu5bp06fj6nrdR0bZLTIykjp16hATE2ObFh0dTY8ePWjbti09e/YkPj7+lr2fiIiIiIjI9dxQeLp8+TIffPABx44dIzY2lnPnzpGamsqFCxcYN27cLSno3LlzjB8/nipVqtimJSQkEB4ezujRo4mIiGDgwIEMGTKE9PT0W/KeIiIiIiIi13Pd7iKTyYTFYqFWrVrUqlWLzMxMnnnmGXx9fWnSpAleXl60bt36lhX01ltv0alTJ+Li4mzT5s+fT8eOHQkNDQWgc+fOLFu2jNWrVzNw4MBb9t4iIiIiIiLXct2ep8zMTJ5++mneeustpk6dysqVK9m9ezfnzp3jzJkzTJ06lR49enD48OG/Xcy2bdvYsWMHzzzzTKHpsbGxfwhobdq0ISoq6m+/p4iIiIiIiD2u2/P0xRdfkJeXB8DFixfJyMggJiaGF198kZkzZ7Jq1Srmz5/PtGnTmDlz5k0XkpWVxZgxY5g4cSJeXl6F5qWmpmKxWApNs1gspKSk3PT7iYiIiIiI3IjrhqcKFSoU+rlmzZo0bdqUYcOGYTKZAHjyySd58skn/1Yhb731Fu3ataN58+Z/LNLV1fZeBX7/s70CA31v6nUiIiIiIiWFxeLn6BKKhRtth5u+Rd7Nhpc/ExERQUxMDGvWrPnT+VarlbS0tELTUlNTsVqtN/xe6ennyM83bqpOERERESl9SmLQSE3NuuHXlIZ2cHEx/WVny627v/jfEBkZSVJSEo0bNy40/fHHH6devXqEhYURGRlJx44dbfNiYmIICwsr6lJFRERESpWyZX1wc7uhGzQXa7m5+Zw5k+3oMsRJFYvwNGrUKEaNGlVoWv/+/Xnuuedo3rw5+/bto1+/fvTo0YO7776bjRs3EhcXx/jx4x1UsYiIiEjp4Obmwvpladdf0El0fjTI0SWIEysW4el6QkJCmDRpEqNGjSIzMxOr1cq8efP+cBMJERERERGR26XYhqdFixYV+rl9+/a0b9/eQdWIiIiIiEhpV2zDk4iIiIij+Zf1xsPN7OgybplLuXmcPXPe0WWIOC2FJxEREZFr8HAzE77qmKPLuGVmdq/q6BJEnFrJuXWKiIiIiIjIbaTwJCIiIiIiYgeFJxERERERETsoPImIiIiIiNhB4UlERERERMQOCk8iIiIiIiJ2UHgSERERERGxg8KTiIiIiIiIHfSQXBEREflTfmW98HQrOYcKF3Mvk3XmgqPLEBEnVnK+EUVEROSW8nRzpduK7xxdxi2zuud9ZDm6CBFxahq2JyIiIiIiYgeFJxERERERETsoPImIiIiIiNhB4UlERERERMQOCk8iIiIiIiJ2UHgSERERERGxg8KTiIiIiIiIHRSeRERERERE7KDwJCIiIiIiYgeFJxERERERETsoPImIiIiIiNhB4UlERERERMQOCk8iIiIiIiJ2UHgSERERERGxg8KTiIiIiIiIHRSeRERERERE7KDwJCIiIiIiYgdXRxcgIiLFj19ZTzzd3Bxdxi1zMTeXrDMXb+g1agMREfm9YhWe8vPzee+99/jyyy/Jzc3ljjvuYPTo0dSqVQuA6OhoJk+eTHp6OhaLhTFjxtCwYUMHVy0iUvJ4urnx4KrJji7jlvm6+8tkcWPBwdPNjYdWLLlNFRW9tT373nAbiIhIYcVq2N6MGTOIjY1lxYoVfP/993Ts2JGBAwdy/vx5EhISCA8PZ/To0URERDBw4ECGDBlCenq6o8sWEREREZFSoFiFpz179jBmzBjKlSsHQL9+/bh06RK7d+9m/vz5dOzYkdDQUAA6d+5MSEgIq1evdmTJIiIiIiJSShSr8PThhx9Sp04d28/JycmcO3cOHx8fYmNjad26daHl27RpQ1RUVFGXKSIiIiIipVCxCk9XS05OZujQobRo0YJ69eqRmpqKxWIptIzFYiElJcVBFYqIiIiISGlSrG4YUSAmJoaRI0fStm1bXn/9dQBcXV0xmUyFlvv9z/YIDPS9JTWKiIhzsVj8HF2Cw6kN1AagNgC1AagNCtxoOxS78LR27VomTJjAuHHj6Nixo2261WolLS2t0LKpqalYrdYb+v3p6efIzzduSa0iIiVVSdyppqZm3dDyagO1AagNQG0AaoMCpaEdXFxMf9nZUqzC048//sjEiRNZtGgRd955Z6F5YWFhREZGFgpUMTExhIWFFXWZIlLC+Zd1x8PNw9Fl3DKXci9x9kyOo8sQERFxesUmPOXn5zN69GjGjx//h+AE0KdPH/r160ePHj24++672bhxI3FxcYwfP94B1YpISebh5sGTqzo5uoxbZn73bwCFJxERkb+r2ISnkydPcvDgQcaMGfOHeU8++SRPPvkkkyZNYtSoUWRmZmK1Wpk3b94fbiIhIiIiIiJyOxSb8FS5cmUSEhL+cpn27dvTvn37IqpIRERERETkf4rtrcpFRERERESKE4UnEREREREROyg8iYiIiIiI2EHhSURERERExA4KTyIiIiIiInZQeBIREREREbGDwpOIiIiIiIgdFJ5ERERERETsoPAkIiIiIiJiB4UnEREREREROyg8iYiIiIiI2EHhSURERERExA4KTyIiIiIiInZQeBIREREREbGDwpOIiIiIiIgdFJ5ERERERETsoPAkIiIiIiJiB1dHFyBSnJQt446bu4ejy7hlcnMucSYz54ZeU6asG+5unrepoqKXk3uRzDO5ji5DRERESgCFJ5GruLl7sOGjLo4u45Z5YOA64MbCk7ubJ3MXPXB7CnKAp/tvABSeRERE5O/TsD0RERERERE7KDyJiIiIiIjYQeFJRERERETEDgpPIiIiIiIidlB4EhERERERsYPCk4iIiIiIiB0UnkREREREROyg8CQiIiIiImIHPSRXbMqVccfs7uHoMm6ZvJxLZGTe2ANiRURERESuReFJbMzuHiTO7OnoMm6Z4PAVgMKTiIiIiNwaGrYnIiIiIiJiB6cLTwsXLuSBBx6gVatWDBs2jPT0dEeXJCIiIiIipYBThadly5axdOlSFi9eTEREBJUrV+b55593dFkiIiIiIlIKOFV4mjt3Ls888wwWiwWz2czIkSPZt28fv/zyi6NLExERERGREs5pbhiRlJREUlISrVu3tk3z9PSkWbNmREVF0aBBg7/1+8uV8cTs7vZ3yyw28nJyyci86OgyRERERERKDKcJT6mpqbi5uREQEFBousViITU11e7f4+Ji+tPpZnc30hev+ls1FieB/brj4nLphl9n9rPchmoc51p/77/i6Wu9DZU4zs20ga9P+dtQiePcTBsEeqsNrN7+t6ESx7m5NvC5DZU4zs21gedtqMRxbqYNynmbb0MljnMzbeDl7VSDla7rZtrA1V+fAwAXv5LzWBv4Yztcr11MhmEYt7OgW2X37t307t2b3bt3F5o+ZswY3NzcGD16tIMqExERERGR0sBpTiNYrVZyc3M5c+ZMoekpKSlYrSWrp0BERERERIofpwpPNWvWJDIy0jYtJyeHn376iRYtWjiwMhERERERKQ2cJjwB9OvXj/fff5/U1FTy8/OZNm0a1atXp2HDho4uTURERERESjinuWEEQJ8+fcjKyuL//b//R25uLg0aNGDWrFmOLktEREREREoBp7lhhIiIiIiIiCM51bA9ERERERERR1F4EhERERERsYPCk4iIiIiIiB0UnkREREREROyg8CQ3RfcZEREREZHSRuFJblh+fj4mkwmA6OhoDhw44OCKRESKl/z8fEeXIFIslPZt4er1P3PmjAMrkVtF4ekm/P6LoDR9MeTn5+PicuVj88477/D000/z9ddfk5SU5ODKHOfy5cuOLqFYyMvLc3QJDlXa1x90kFAgLy/P9j2ZlZXl4GocQ9uD2gBK77aQk5MDXDk+KFj/RYsW0bNnT06fPu3I0hyipO0bFJ5ugouLC0eOHOH999+3/VwaFASny5cvM2LECNLS0pg8eTIxMTFs3LiRjIwMR5dY5HJzc3F1dSUvL4/ly5dz5MgRR5fkEJcvX8ZsNpOcnMwXX3xBamqqo0u67a4eulqw/gBr165l586djiqryOkg4YqCdsjJybF9FsLDwxk7dmypGOas7UFtUKC0bwvHjh1j1qxZ7N27F1dXVwAmTJjAokWLmDlzJgEBAUDJv/yhJO8bzGPHjh3r6CKciWEYmEwm0tLSGD58OBUrVuSuu+4qdHalJCoITklJSTz//PNUrVqVp556ip9++onk5GQSExPx8fGhUqVKeHh4OLrc2y4zMxNPT0/MZjPHjh3j0UcfZcuWLQQGBlK5cmV8fHwcXWKRSEtLw9vbGxcXF3744Qf69evH3r17sVgsVK1aFXd3d0eXeNuYTCby8/M5d+4cXl5ewJUDhPfffx8vLy/Kly9PUFCQg8+502wAACAASURBVKu8vY4dO8Ynn3xC2bJlKV++PHDlIOGrr75ixowZBAcHA//73iyptm/fztdff03t2rXx8fEhJyeHAQMGYDabmTJliu0ES0neR2h7UBuAtgWA3377jejoaM6fP0/NmjUZMWIESUlJLFu2jE2bNrF3717q169for8XS/q+oeR+em+DvLw8TCYT2dnZ3HnnncydO5f//Oc/7Ny5E7PZzOXLl0tsN72Liws7d+7kmWee4f7776dnz54sWrSI7OxshgwZQpkyZfj000/5+eefAUhOTnZwxbfPwYMHmTp1Kj///DM7d+6kX79+9O/fnw8++IBdu3YRERFRKoYnxMTEMGfOHI4dO8aqVat46aWXePfdd3nppZf4/vvviYqKIjc319Fl3jbZ2dlMmzaN7777jrS0NHr37o2HhwebN2/mwoULbNq0iWPHjjm6zNvq1KlTJCUlERkZyZkzZxg6dCh79+5l7dq1xMXFsWzZMqDkn2E9duwYhw8fJjo6msTERB588EEaNGjAnDlzmDJlCnv37rXtI0oqbQ9qA9C2ANC0aVMee+wx9u3bx0MPPUTZsmVZvHgxo0aNYtGiRbzxxhts3rwZFxeXEnvMWNL3Dep5stP58+f57bffABgyZAiZmZl069YNq9XKv/71L/r06WM7Aw+QkZFhO/NUUnzxxRfs2rWLXr168fnnnxMcHEydOnU4cuQIZcuW5eLFi9SpU4dt27bx8ccf849//KNE9sC4uLiwZ88evvzySxYtWsTYsWPp1q0bFSpUICMjg+joaDw9PQkODrYNWSiJ8vLyiI+PZ/HixWzZsoV58+bRpEkTatasyW+//cauXbsoU6YMVatWdXSpt4W7uzuHDx9m27ZtTJs2jfbt2zN27Fj8/Pzw9fVl69atXLx4kSpVquDt7e3ocm+LypUrExQUxJYtW5g8eTJ16tRhzpw5vPrqq2zcuJE1a9ZQt25datSoUaLPNt91111cunSJlStXMm3aNF555RV69OhBnz59OHjwIMuWLaN37954enoWGsJSkmh7UBtA6d4WDMOwjdLJyMhgxowZVK1alXvvvZcJEyZQtmxZFi5cSO3atXnppZfo1KkT5cqVK3HtACV/3+Bc1TrQgQMH6NWrF507d+auu+5ix44dzJs3j+rVq+Pv78/QoUNZsmQJn3zyCQ888AAffviho0u+pfLz83n++edp0aIF//73vwkNDaV69eocOnSIs2fPYrFYaNu2Ld988w0JCQkMHToUi8Vie72znl24WsEZorJly5Kamkp8fDzdunWjQ4cOtmX69u1LgwYNiIyMJDY21lGl3lYFZwyrVatGQkICR44cYeDAgdSpU8e2THh4OGXLliUiIsLWG1lSXH2m0Nvbm+3bt1OnTh2effZZ2/TmzZvTu3dvdu3aRWRkJOfOnXNEqbeNYRi2dvDw8CAiIoKKFSvSsGFDevfujclkYsOGDUyfPp2RI0dy5MiREnm2uaANXFxcSE5OJi4ujpYtW5KdnU23bt3o2bMnGzZsoF27dvTt2xfANmyppND2oDYAbQsFI5PMZjMrV67kqaeeYuLEiTRr1owpU6ZQuXJlJk2aBMD999/PE088Qd++fbl8+bLtuqiSoLTsG9TzZCcfHx9Onz7Nww8/THh4OAcPHmTWrFn4+/vj5+fH8ePH+eqrr2jSpAn16tWjZcuWWCwWp+15uHocalJSEjNnzqRs2bL06dOHLVu2cPLkSby9vcnPz6d8+fLk5eURERGBu7s7PXv25OTJk8THx7Nt2zaaNGnilGNar5aXl2f7Ww4dOpT09HTCw8OJjY3lyJEj/Pbbb2zZsoWkpCRMJhOJiYlkZGTg7+9vG+9bEuTn52M2m0lNTeXxxx8nODiYnj17EhUVxaFDhzhw4ACbN2/m5MmTmEwmjh49agvXBRfJOrOC9Qd47733WLBgAf/5z384ceIECQkJ7N69mx07dpCQkMDFixc5ffo0J06cwNXVleDgYKc7u/ZnCs4Suri4sHLlSl5++WXeeecdXFxcmDdvHg0bNmTKlCkA1KxZk4sXLzJ+/HgGDBhQog4Srj7oGTNmDN999x1z5swhOjqa5cuXM3z4cNtBYocOHVizZg2bN2/mwQcfLBGfA9D2AGoD0LYA/7tx2LRp01i4cCGLFi3i8uXLTJ8+nebNm1O5cmW8vLyoWLEiAGFhYSxYsIAyZcpw1113ObL0W6Y07RsUnuzk7u7O3r17iYuL48EHHyQsLIxff/2VsLAwRowYQb9+/VizZg3+/v68/PLLVKpUyWmDExS+vaibmxuRkZEcOXKEO++8kwcffJC5c+dy6dIlmjZtSlZWFtHR0VStWpVu3brx4Ycf8uuvvxIfH0+1atUIDg7G19fXwWt0Y35/EWNBN3z37t258847mTVrFrVr1+bXX39l3rx53HPPPRw4cIA9e/ZgGAZNmzZl//79JCUlERwcTJkyZRy4Njfnzy7kNJlM7Nmzhz59+tCzZ0/+/e9/U69ePdauXcuyZcto2bIlv/32GzExMVStWpXatWvz888/c/bsWWrUqOF0Q1mvfqYZYPv3yJEj2bVrF4sWLaJRo0a4urry5ptvUr58ec6fP8+xY8fYu3cv7dq14+zZs/z666+UK1eOypUrO2pVbtqfbQtQ+g4SrtUOAwcOJDMzk08//ZTVq1ezfft2WrZsia+vL1ar1bbtN23alBkzZtCmTRunvWmAtge1AfyxDUrbtlDwXWAYBllZWbabZM2YMYMVK1awbt06vv32W6ZMmcKSJUt46KGHiI6O5uDBg5QvX57AwEAefvhhPDw8GD16tNMFh2spVfsGQ/7U5cuX/zDt/PnzRvfu3Y2vvvrK2Lhxo/Huu+8ab7zxhpGbm2sYhmEcPnzYaNiwobF48eJr/g5ncOLECaNDhw5Genq6bdqpU6eM0aNHG9OnTzeysrKMPXv2GB9//LHx3nvvGYMGDTKefvpp47XXXjMuXLhge11BuziT/Px827+3bt1q7Ny50zAMw8jLyzM+/fRTo23btsa+fftsy6SkpBhDhgwxzp07Z5tW8Hc/c+aM8fDDDxvr168voupvnby8PNu/V6xYYRw5csQwDMO4ePGiMWnSJKNTp06F1vmnn34ynn/++UKvL/gd8fHxxkMPPWT8/PPPRVT9rVHwWUhKSjJWrVplm75z506jY8eOtu284HP+yiuvGNHR0bblLl68aPv3sGHDjHfeeadQuzqD39dbsK4zZswwWrZsaWRlZRkLFy402rVrZyQmJhpZWVnGhAkTjLfeestISEgwDMMwunbtajz00EOF2sPZFHwW0tLSjKSkJMMwDOPSpUtGjx49bJ/74cOHG48//rhhGIaxa9cu47XXXjPmzp1rnDlzxjh+/LhRp04dY9y4cY5ZgVtA24PawDD+1wZ79+41tm3bZhjGlX1eadoWCo5xNm3aZCxevNg4fvx4oel79+41mjdvXmif9+OPPxqvv/66MWPGDCM9Pd3YtGmTbZ6zHisaxh/3EaVl31Ay+ktvsdzcXFuv0bRp04iOjgaunG1xd3fn888/Z926dWzYsIGlS5dy4cIFAKpXr87s2bN5++23iYiIcNqep4oVKxIcHMwTTzxhm1a+fHkeffRRTpw4wapVq6hbty5+fn7s3r2b3r17M2DAAPLz8/nvf/9LuXLlAOd8/lXB2bTFixfz+uuv26a7uLjQsmVLevXqxZw5czhw4ABwpYfuyJEjhR76VvB3//bbb0lISHDKXqeCv93EiRP56KOPbLcc9/DwoEuXLrRt25Y333zTtt45OTkcOnSo0Lj3gt+xfv16Tp48SdmyZR2wJjfPZDKxc+dOnnzyyULPrapduzaDBw8mJiaG9evX284anjp1ihMnTtiWKzgbmZCQQHR0NB4eHk61TVz9eIIePXoQHx9vW9d+/foRGRnJ8ePHmT17NtOnT6dq1ar4+vrSqVMnLl26xDfffENGRgbDhw9nzZo1eHh4ON31Dcb/XatpMpnYsmULAwYMYOHChSQnJ+Pu7s7bb7/NzJkz+eijj9i3b5/tWtdGjRoRFhbG0aNHWb9+PX5+fsyZM4cxY8YAzvlg9dK+PUDpboOrt4Vvv/2WRx991HbnQLPZzMSJE0vFtrB161amTp3KBx98wNdff01qaqqt96zg2CckJISwsDBWr17N8ePHAWjcuDFt2rTh1KlTfPXVV7Ro0QIofLzpLAr+Zt999x0bNmywHQPDleu+S8O+QcP2/s8vv/zCqVOnqFChQqGHukVFRTF48GB8fHxwd3dnz5491K5dm9GjR9O1a1cOHDhAUFAQ1apVIy8vj+rVq+Pq6sry5ct55JFHnPZan44dO7J69Wo2b95M165dAbBarbi7uxMZGcmaNWvYv38/Q4YMYd++fdx///24ubmxbds2zp49S4MGDZxu3RMTE20PM/zss8+YOnUqoaGhXLhwATc3N8qUKYOvry/Hjh3jhx9+4J577sHf3581a9bQq1cvPD09gStfhl999RWzZs1i3rx5NGvWzMFrdmN27txJbGwsX3zxBXFxcSxcuJCgoCDOnTuHu7s7VqsVNzc39u3bxy+//ELr1q05d+4csbGx9OzZ0/Z7zp8/z9y5c9m0aRMrVqygUqVKDlwr++Xk5LBo0SKSk5N5++236d27NwMHDrTN8/b2ply5cpw9e5atW7ditVqpXLkyGzZsoGnTplSvXt32u+Lj43nppZd4/PHHC108XpwZ/zckxWQy8cMPP/Dcc8/h4+PDggUL6NmzJ15eXri6umI2mwkKCmL37t0cPXqUmjVr4u/vT8WKFcnPzyc+Pp60tDQ6deqEm5ub7YHSzuTqkymfffYZ3bt3JycnhyNHjlC/fn2sVisAgYGBREZGkpOTQ7Vq1fD09KROnTqcPHmSX375BVdXV+6//36g8PWTzqC0bw+gNig4kQIwZ84cpk+fztSpU23HBgD+/v64uLiU6G0BrjyqJDo6mqNHjxIUFMRTTz3F9u3b8fLywt3dnby8PFxdXWnZsiVLliwhIyODunXr4unpyR133EFWVhaxsbFkZ2dTv359p1t/uPK9GB0dzdixY2nVqhV169YFrjyipuBGYSV936DwBKSnpzN37lwOHTpEkyZNcHV1td16etGiRRw7doygoCAMw2DFihVUrlyZJk2a4OnpyUcffUStWrWoW7eu7culSZMm9OzZ0+nCw86dO0lPT6d8+fK4ubnRtm1bZs+eTXJyMq1btwau9K7l5OTw448/0qVLFywWC7Nnz2bAgAFYrVb8/Pxo3bq1U13bUjB++9SpU7z44otkZGRQr1494uLiqFixIlFRUezfv5+QkBAsFgve3t7s3buX/fv3c/bsWWJiYvjnP/+Ju7s7Li4umM1mPDw8GDx4MNWqVXP06tmt4KB5z549jBw5Ei8vL2rXrs33339P5cqV2bx5M6mpqdSoUYOKFStiNpvZuXMnp0+ftl3f9eCDD9oOvAsCZ3h4uFPcsr7gc5CXl8c777zDxo0bqVu3LpmZmbYexu3bt1OvXj3KlClju+tiZGQkVquVVatWcd9991GlShXb73RxcaFTp060a9fOgWt2Ywq+t5YuXcobb7zBv//9b0aNGsXJkyeZNm0a/fv3x2w2k5OTg9lsLpEHCVdf87lkyRKmTZtmuyFQZGQk58+f56677sLHx4fLly9Trlw5goOD+e9//2t7QLSrqys1atQgMTGR2NhY2/UtztLToO1BbQCFA8748eNZt24dS5YsoVGjRqSmprJjxw6qV6+Oi4tLid0WChRcz3vo0CF27dpFYGAgBw8eZNu2bbi6urJx40aqVKmCv78/Xl5eNGjQgAULFpCXl0ft2rVxc3OjVq1aZGRkEBYW5rQ3UYqIiGDSpEkMHjyYhx9+GICXXnrJdjK14DNTEvcNBRSeuHJrUR8fH44fP87WrVsZPXo0jz32GMOGDeOpp55i6tSplC1blkaNGtGoUSOaNGli636PioqiUqVKTve06N/XeubMGZYvX87q1atp3ry57bkUjRs3Zty4cQQFBVGvXj3gyhCFguFbP/zwA4mJiXTv3h13d3enuymAYRi4uLhw+PBh5s+fj8lkYsmSJXTs2JFffvmF48ePk5KSQnR0NP7+/txxxx224BAfH09cXBzh4eHUrl0b+N+BZ0BAgG2om7MwmUxs376db775Bj8/PxYuXMi9995LREQEGRkZtgfe1apVC6vVajuLFBMTw5EjRxg7dmyhnYHJZHKai4ELPgdwZahidnY24eHhDB06lJycHOLi4sjMzCQ+Pp6kpCSaNm1KQEAA/v7+HD16lK1bt9KuXTv++c9/Fvq9Pj4+Tjlsc8qUKSxatIjFixfbek7vvfdeIiMjWblyJd26dcNsNpOXl4enp2eJO0go+CzMnj2bihUr4uvry+nTpzl58iSJiYl4eHjQqFEjfHx8bNt8lSpV8PDwYNGiRQQHB1OpUiU8PT2pWLEiOTk5tG3bFjc3N0eult20PagN4H93Erx06RIDBw5kw4YNDB8+nNatWxMdHc3IkSOJjY2lQoUK3HHHHbbXlaRtYe/evbi6uuLl5cX+/ftZv349L774ItnZ2fTt25eHH36Yu+66i/fff5/ExESGDRuGi4sL+fn5BAYGEhgYyObNm2nevDne3t6YzWYaNGjgdN+JBQpGpTz22GN07dqVrKwsRowYwYkTJ5g9e7btBHJ+fj6enp7Ur1+/RO0bCpT68FQw3rRq1aps27aN5cuX07lzZ7p168bjjz9Oly5d+Ne//kV4eDihoaHcddddeHh42M5ILViwgOrVq3P33Xc7TXCCKwe2SUlJbNmyhZCQEDw9PfH39+fkyZN8//33tG3bFldXVypUqECVKlUYNWoUYWFhtqFXtWrVwmw2s3TpUtq0aeN8d0q5SkFPS8eOHQE4ffo0GRkZZGRk0KBBA8qUKUP37t2pXr063t7emEwmKlSowKVLl0hKSiIoKIi6des61d//agUP6Nu0aRMTJ06kT58+nDhxAg8PDw4cOEB+fj5169bFarXSrVs3KlWqhLu7O66urlgsFrKzszlx4gTVq1e3PRDX2doiNzeX7Oxshg0bhp+fH6GhoezduxcvLy8SEhJsZ5Y7dOhAo0aN8Pf3B64MZXV1deXkyZMYhkHLli2BP79TobM4cOAACxYsoFu3brbhNefPn8fNzY3mzZszfvx47rnnHqpUqVIiDxK2bdvGli1bmDRpEnFxcRw+fJhOnToRFRXF4cOHiYmJwWw2k5ycTLVq1fD19bUNawoJCeH48eMcP36c0NBQXF1d8ff3p2HDhk5zsAjaHkBtUPCZPnToEI899hgNGzZkxIgRzJgxg/z8fObPn8+oUaPw8/Nj7dq1tpEZBb22JWFbOHfuHJ9//jnbt2+nTZs2VKlShUqVKhEaGsp7771Hu3bt2L9/PytXruT+++/n0KFDXLp0iYYNGwJX9oN33HEHjRs3ply5crahac70Obj6c5udnc13331HcnIyw4YN48iRIwwYMABvb2+8vLyoX78+AQEBZGdnc+DAAQICArBYLCVm33C1Uh2eCsamAsyaNYtVq1YxYMAADhw4wKxZs3jppZd47LHHCAoKokyZMrz22mv885//xM/PD8MwyM3NZfny5XTo0KHQWRdnkJeXx/Lly9m6dSseHh7UrFmT8uXL4+3tzc8//2zrfgVsDz8dN24cPXr0wMfHh9zcXPLy8khMTKRZs2YEBgY6cnVuWMGX/3vvvcfKlSvx8vLijTfewNfXl6VLl3L27FkaN27Ml19+yQ8//IBhGLb2MAwDNzc32y1o161bh8ViITg42MFrdWMMw+DChQtMnz6defPmsXbtWkJDQxk6dCi5ubksXrwYb29vatSowdKlS23DGOvVq2fbQXp7exMYGEhGRgZr166lfv36totmnUVERASTJ0/m008/JSEhgfnz51O7dm3Wr1/Pzp07adGiBT/99BPffPMNiYmJPPLII8D/hnZVrFgRwzCIjo4mKSnJaZ9rdvDgQQzDwGw24+npSWJiImlpadx11124ubkRGxvL008/zaBBg+jWrRtQ+Oy8sx8kFPjoo4/4/PPPefrpp3nrrbdYsWIFDzzwAOXKlePrr79myJAhNGvWjNWrVwNXTiR5eHjYTkK0aNGC6tWrExAQ4JTrr+1BbQBXtt2IiAiGDRtGr169eOWVV6hatSpffvklZ86cYerUqSQmJrJo0SIaN27Mhg0baNu2LV5eXiVmWyg4Qbhv3z7i4+M5fPgwJ06cIC0tjYsXL+Lm5sa3335L+fLl6dChA4888gjjxo2jYsWK1KhRwxY8fH19nXJoGlz5HKSlpeHt7Q3A2bNnOX78ONHR0UybNo1nn32WV199ldTUVNauXWu7DsxqtdK4cWOg5OwbrlZqw9PVO/2RI0cSFxfHunXrSEhIYO3atTRr1owOHTpQvnx5cnNzufvuu0lOTmb16tW2MZ6GYXD58mVatGjhVM8xKlj3ihUrkpqayk8//URAQACVK1fGarXi4eFBVFQUycnJtg9/s2bNbA8GHjBgAGazGbPZTEhIiFM+BNZkMnHs2DE+++wz5s6dS2pqKvv37+fQoUN4enrSokULFi9eTHBwMM888wyzZs2idevWlClTxrbRe3l5ERAQQG5uru2MlDMpuC4pNjaWnTt3Mn/+fKKiokhPT2ffvn1Ur16d4OBg5s+fT8eOHWnbti0fffQRXbt2LTQk0d/fH19fX/Ly8qhZs6bTnU1ydXVlypQpPPvsszRt2pS1a9eSnJzMqVOn6Ny5M1u3buXo0aNMmDCBVatW4enpSe3atW3fHy4uLpQvX57Lly9TtmxZatWq5XQ7hvPnz/PUU0/xxRdfsH37dp577jmOHz/O/v37CQwMZPv27fzrX/+iTJky3H333dx9993A/3aAJeEgAeDLL7+0DVutUKECbm5unD17lpycHJYtW8bzzz9vuxb00KFD5OTkkJOTQ926dW3DGF1cXPDz83O6z0ABbQ9qA7hyp8DHHnuMwYMH8+yzz5KXl2f7Dpg5cyaffPIJGzdu5MMPPyQjI4Nff/2VXr16YTKZCl3L5EzbwtW9LAXHSYGBgfj4+NhueGGxWDh79iw7duzgwoULVK1alerVq/PKK69QvXp1unXrxltvvUXjxo0L9cQ5q3PnzvHUU0/x8ccf88svvzBw4EAyMjJYv349Dz30kO2uzA0aNODLL79k9uzZjBw50vZQ5ALOvm/4vVIbnkwmE7m5uXTp0oWAgAAWLFjA+PHj2b59O7Nnz+b8+fPs3LmTMmXKULlyZQ4fPsyUKVNo3rw5rVu3xmQyYTabadSokVMEp6u/FAr+7+fnR7ly5Th48CC7d++mevXqWCwWLBYLJpOJTZs24erqarue595772Xt2rUcPnyYVq1aAThN9/uf8fX1JSUlhb59+1KjRg3i4+MJCQkhICCATz75hE6dOjFkyBAmTJhAaGgonTp1Yvny5bi6utqu5Sl4uJuz9TrB/z4TZrMZwzB4+OGH8fPz4/Dhw4SGhpKTk8PSpUsZPnw4//jHP3jzzTfp3bs3d9xxB6tXryYgIAA/Pz8ALBYLDRo0sN1px1nk5eVRtmxZDh8+TP/+/WnWrBk///wzQUFB1K9fn5UrV+Lp6cn06dP57LPPSElJ4YUXXmDjxo2kpKTYhim6u7tz5513Uq9ePac5ULiam5sb7dq144knnqB27drUqFGDqlWrsn//fj777DPWrl3LokWLePzxxxk7diw//vgjP/74I+XKlSMtLY2cnBzbsCVn8vsDm4I7oYWEhLBr1y7q1avH0qVLOXDgAOPGjcNqtTJixAjc3d0ZOHAgeXl5HDhwgCpVqhAUFMTly5ed+gBB20PpbYPfbwu+vr4YhsGXX35J586diYqKYsWKFUycOJHJkyeTnZ3Nu+++y5w5c9i6dSu1a9dm3bp1LFy4kM2bN9OqVSvbteHO4vcPP87NzeW3337j9ddfp3fv3qSmppKSkkJubi5nz55lwIABpKenExgYSJ8+fZg8eTIvvvginp6eTJ06lV69ejndXeR+z93dnXvuuYcHH3yQJk2a2EbZ5OTkkJmZia+vLxUrVmThwoVs2LCBESNGULNmTQ4fPszOnTvx9/d3yn3D9ZTa8ARw6dIlzp8/z9ixYxkzZgz79/9/9s48Lsqya/zfYd83B9kXkZ1YVEDF3cQFERRNzbTMck8z03LNLE3LfU8ld1FwX6hMXFBxBRVQkdgURARkFVSWmfv3h5+5H6zned/q6Q3vn3z/yYYZPnMO97muc67rLBlER0fTrFkzDAwMuHv3Lvfv38fa2prk5GT09fWZM2cOIK385YZtRuPi4sjKyqJly5bAixa7urq63L17l+zsbDGPWy6Xi/34Vbcq6urqhISEYGxsjJWVlWTkV1FcXExZWRnq6upiS9Ft27ZhbGzM5cuXcXFxITc3l/379zNp0iTatWvHmDFj6N69OyNGjODDDz/kypUraGtrY2VlJQYOUlkcVc/sgwcPqK6uRltbG3V1dUpKStizZw+WlpYkJibi7e3N5cuXOX/+PN988w2amppMmTKFjz/+GC8vL0aMGMGDBw9QV1cXW9GCNPQgCALPnz8XZ2+oUhEOHTpEcXExmZmZaGtro6+vzw8//EBgYCAzZ85k1qxZVFZWsnr1apYvX86mTZvQ0dFBX19fnJYuBfkboqr3rKmpQalUYmJigqamJpaWlmIw5OrqSlpaGr6+vvTp0wdDQ0N69uyJvr4+Z8+e5eTJkxw4cIDTp0/Tp08f8VmQAqpieKVSyZYtW2jdujVeXl7o6OiIs3qqqqrIz89n69atZGRkMG/ePFq2bMmQIUOwtbXl4sWLJCcn06xZMzHdV9VYRwo02UOTDlQ0nMtna2uLpqYmAQEBpKWlER0dzbRpdoig3wAAIABJREFU08jKymL9+vV4eXkxc+ZMpk2bxo8//sjo0aMZO3YsAHZ2dri7u+Pl5SXJG5f58+eTmJhIUFAQ6urqmJubc/HiRW7evMmAAQNIT09HW1tb7BJ37949nj59yq+//oqTkxNBQUEcOnSI9PR0wsPDJdVACxBHkjTEzMwMIyMjSkpKyM7OxsTERAyQVAdsV69eZdWqVejo6PDdd9+RlZUl3tS1aNFCks/C/8RrHTxpamqKnaTi4+PR0tLCz88PbW1tLCws0NXV5datWzx8+JB+/frRu3dv4PcnNK8yDduMrlixgr179zJo0CCx9bpMJsPGxoaamhpSU1Oprq7Gy8sLAwMD5HI5paWlREdH0759e4yMjNDW1sba2lpygRPA4cOHOXDgAH5+fuJMCkdHR3Jzc3nw4AG2trZs3LiRbdu2oa6uzuTJk/n000/x9vZmwoQJjB49mnbt2rF+/Xo6dOggbpBSoGGwv2HDBq5evYqfnx+6urpoa2vj6OhIcnKyWAcYExNDbGwsly5dYuXKlaxYsYJnz54xZ84cVqxYgVKp5MiRI7z55puS6hylpqZGVlYWixYtwsHBARsbG2QyGXZ2diiVSi5evIiPjw87d+4kNDSUDz/8kPfeew8vLy+mTZvGtGnTMDU15euvv2bZsmXY2tri7e3d2KL9KfLy8jA2NkZdXZ0rV66wZMkS/Pz8MDY2Jjs7myVLlrB69WpOnz5N9+7dsbKy4urVqzx9+hRnZ2eMjY1xcXEhPDyc/v37ExoaSlhYmKRq3VTPwsOHD8U05DfffBN40UBl27Zt2NjY8ODBA3x8fEhLS+OHH36gXbt2vPXWWzx//pwlS5Zw/vx59PX1xZEEKgdSCjTZQ5MO4MXzfuPGDcaOHcv9+/d5/Pgx3t7eotPfoUMHjh8/zs2bN/nyyy9JSEjAxsaGjRs34uzszLBhwzh//jwymYwePXrwxhtv4ObmJhkf6bcoFAq++eYbXF1dxUPmPn36EBUVRWlpKcHBwdy4cQOFQoGhoSFGRkY8fPiQZ8+eMX36dJKTk4mKiuLgwYOSunFRKBSUlpYSERFB7969KSoqIiYmBn9/f+DFyIbo6Gj27duHra0tbdq0QVNTk2+//RYTExNWrFhBixYtkMvlDB48mPDwcPr27YuLi4ukDhH+MMJrjlKpFP89ceJEYe7cuUJhYaH42i+//CLMmTNH2LBhg/D8+fPG+Ip/ifr6euHcuXPi/y9evFgYMmSIKO+jR4+ErKyslz6zfv16YerUqUJaWpr4WmpqqrBp0yahqqrqn/ni/0fExsYKbdu2FU6dOvW7nyUmJgqjRo0SCgsLhXfeeUcIDQ0Vhg4dKuTm5grnz58X+vfvLyQnJwtpaWlCRESEsGvXrkaQ4O9h48aNQufOnYX09PTf/ezgwYPC1KlThaKiIqFr167CwIEDhUmTJgmVlZXCnj17hGHDhgmPHj0Szpw5I4SFhb30fEmFrKwsoVevXsKSJUt+97Oqqirh/fffFxITE4V169YJ7du3F8LDw4WzZ88KBQUFwvDhw4U9e/YIVVVVwqRJk4RZs2Y1ggT/HZmZmcLnn38u/PLLL0JsbKzQs2dP4fjx4y+9Jzo6Wti1a5ewa9cuITc3V8jNzRU2bNggRERECJWVlYIgvFhfpEjD9f7atWtCly5dhJMnTwpPnz4Vrl+/LlRUVAiCIAhPnjwRBEEQDh8+LIwdO1bo0KGDsHnzZiE7O1s4fvy4MGjQIGHbtm3CL7/8IhQXFzeKLH8Hr7s9CEKTDgRBEIqKioRu3boJ3bt3F19raCsFBQVCSEiIEBUVJTx69EiYNm2aMHPmTOHWrVuCUqkUDhw4IEyfPl3Izc1tjK//t7N7927B09NTuHv3rvja48ePhZCQEGHDhg3CiRMnhBkzZgifffaZsHnzZuHGjRtCampqI37j/x7V2rdr1y6ha9euQlhYmJCTkyNkZma+tMY9evRIEIQX+hgyZIgwf/58oaSkRBg5cuRLvuP/77z2wZMgCIJCoRAEQRBKSkqE4cOHC2vXrhXKysrEn+/YsUNYtmyZpAKIu3fvCqNGjRJSU1OFsWPHCgEBAcJHH30kzJkzR5gyZYrg7+8vzJkzR6ioqBAXybKyMmHQoEHC+vXr/+3vbLiYvuqo/qaCIAh37twRhg8fLsTHx7/0niNHjgixsbGCIAjCjRs3xNfDwsKEJUuWCLGxscLw4cOF4uJi4cSJE0K/fv2ES5cu/TMC/E001MPp06eFESNGCNnZ2S+9Z8uWLcLVq1cFQXgRSAqCIOTn5wtt27YVYmNjhQ0bNgiTJ08WamtrhcjISGHIkCGS2SQbPrOlpaXC5MmThXXr1r30nrt37wobN24UBEEQ7t27J5SUlAiCIAjz588XQkNDhczMTCEiIkI4f/68kJubKwwcOFDYvHnzPyfE30hNTY1w6NAhISwsTAgODhby8vKEkpIS4cGDB797LgRBENLS0oT33ntPKCoqEkJDQ4Xly5c3wrf+e2j4LMTExAiBgYHCxIkThTNnzgg9e/YURo0aJZw5c0aoqakR31dTUyNER0cL48ePF3bt2iUcOnRICA8PF9cNFQ3t7FWmyR6adCAI/9LBqlWrhNGjRwtz584VDh48KCxfvlyora0V1qxZI1y+fPmlQ5KLFy8KISEhwuXLlwVBEITLly8LkyZNEn9P165df3cgKxUqKyuFo0ePvvTaggULhHbt2gnV1dXia8nJyUL37t2Fn3/+WZg7d67QuXNn4eTJk//01/3bOXv2rNClSxdBEARh586dQufOnYUhQ4YIp0+fFoKDg4WcnJyX3l9SUiKsWrVK2LZtmyAIL+woIiJCUj7if4s071X/ZlSzSszMzJg5cybHjh0jKSmJ+vp6AN5++20+/vhj9PX1G/mb/u8ILwJirK2tEQSBMWPGiAMsJ0+eTEZGBiEhIRw/fpy2bduiq6uLTCYTax7Gjh1LdHQ0xcXFv/vdUknVa1jjtWrVKnJycjAzM3vp+69evZpZs2aJ9Qmq7mHwom39/v37iYyMZOfOnezfv58tW7awfv162rVr988K81+g0kNJSQmrVq2ipKQEc3Nznj17Jr5n+vTp/PDDD/j6+gLQpk0bAKytrfnuu+/47LPPyM7OZtWqVcyfP5+kpCR27NghFkW/yqhmsQHs2LGDCxcuoKen91KDl7NnzzJo0CBMTEwAcHBwENPPvvjiCwwMDAgPD2fnzp2oq6szYcIEsV23VFAoFFy5cgV4Ufx78uRJBEHg7bffFgvf58+fT0lJCVVVVZSWloqfdXd3R6FQcO3aNXr27CmuC4IgNIosfxWhQdrqt99+y549e/juu++oqqpi2bJlbNu2DVtbW7Zu3Upqaqoon5aWFsHBwfj4+BAfH8+yZcsoLCwU57golUoASaQoNdlDkw5UqHSgo6NDamoqdXV1DBgwgLFjx7JgwQK+//579u7dS05OjmgLvr6+hIWFsWXLFqqrq3n06BFPnjzh+fPnXLhwgdmzZ+Pk5NSYYv0hfrt2KZVKUlJS2LFjB1FRUeLrs2bNwtfXl2HDhomv+fj4MHXqVGbMmMG1a9fYuXMnPXr0+Me++/8FgiDQpUsX2rVrR/fu3bl16xbx8fEUFhayZ88e9u7dS319PXl5eeJnzMzMuHfvnlgneOrUKZ4+fSr+vteBV3/F/4dQBVCenp5899132NrainmaGhoakuigpNoYZDIZaWlp3L59m8GDBzNx4kQ8PDw4fvw4ampqvPnmmxw5coRvv/2W0tJScSaDIAg4ODhgaWkpBo5SQxUwFBcX079/f3Jzc2nTpg02NjakpaVx7949Pv30U7Zu3crgwYPF7nAqg1coFNjZ2bF27VoyMjIYNWoUd+7cYdeuXdja2jamaH8YlSxqamrcvHmTiIgI1NXVadWqFaampiQnJ5OZmcmwYcO4cOECw4cPFwtEVZ9VKpV07tyZOXPmEBcXx7vvvouOjg7r16//XTHpq0jDAHr69OnExMTQunVr3NzcKCgo4Pbt22zZsoUpU6YQGBgotuRXoXr+t23bhlwuZ/To0axatYolS5aIg2OlwvHjxzl06BA//fQT77zzDnK5nMjISCwsLNiyZQvnzp2jVatWWFtb89FHH5GRkfHSBqilpUVtbS3W1tYkJSWhUCgkc5CiomG9X2VlJTExMWRkZKBQKNixYwcXL14kPT0dJycnjhw5QlZWlvhZU1NT+vbty9ChQxk1apTYLAKkETRBkz1Akw5UpKenU15ezsmTJ8nMzGTKlCn07duXvLw8Jk6cSEVFBevWrUOhULB27VqKioqAF400OnXqhLa2NmfOnOHBgwd4enqio6PDjh07JBNEqNaC48ePk5eXh5qaGh4eHgwaNIi4uDhOnTolvm/p0qXU19czefJk8fN9+/Zl9OjRWFtbY29vLx6gSI2Kigry8vKQyWQ8f/6ckpIS4MV6v2rVKvT19VmwYIF48L53714qKyvFz7/zzjukpqZSVVWFmpoab7zxhuT2hf+G17phxG9R/eEtLCzEVtRSQvX9169fT2RkJHp6eowdO5bmzZuLp2IbNmxg2bJlXL16lT179mBmZiZuKDKZjGbNmnHu3DlcXFwk1RBBhUwm4/r163zwwQf06NGD+fPnY2BggI6ODrdv32bp0qXo6+uzZs0acnNzSU5OxtnZGT09PXGug1KpxMbGBhMTE5RKJYsXL5aMkwT/eg6OHDnCzJkzmTRpEqNGjcLMzAyFQkFSUhILFiygc+fOzJgxg5SUFDIzM/Hy8hLblquC8DfeeIPy8nI8PDyYMmVKI0v2x1A5SU+fPuXdd9+lvr6e3bt3Y2JiglwuJycnh507dxIfH8+2bdvQ1dXl0qVLmJqa0rx5c+CFU1xfX4+WlhYdO3YkKSmJNWvWYGNj08jS/XFUhynu7u6cO3eOLVu20KZNG77++muysrKIiYkhPT2dwYMHk5CQwObNm0lPT8fDw4PS0lLMzc3R0tLixo0blJaWMnToUAIDAyW5LgDcvXuXpKQk5s+fz6+//srcuXM5fvw4Gzdu5Nq1a2zbto3bt2+LQ7Plcrl442BsbIy5uTmbNm3Cz8+PN954o5Gl+eM02UOTDlSUlpaya9cuEhMT6d27N0FBQbRt25b8/Hy+/vprXFxcCA0NxcDAgEuXLlFUVMSoUaOIjY1FTU0NNzc3zp07R0ZGBp9++imWlpbI5XLJNQS4desWUVFRPHjwAF9fX4yNjWnWrBlVVVX8/PPPODs707x5c7S0tOjUqRMrVqygqqqK9u3bAxAQEICHhwfNmjWTZMDw7NkzoqKiuHbtGq1btyY1NRVXV1cmTpzIjBkzcHZ2xtvbmzVr1iCXy/nkk0+IjY2lqqoKb29v1NTUyM/P58iRIwwaNIiWLVsSGBiIgYGBJPXxV2gKnv4/QeXwLlmyhAsXLnDw4EGeP38uds8KCgri888/Z+bMmZSWljJr1ixWr17NiRMn+PHHH0lLS8PExARzc3M6deokdo+SGlFRUcydO5dPP/1UDBg///xzTExM8PDwoLq6mh49etC+fXuUSiV37tyhqKgIDw8PNDQ0XgocvL296dKlSyNL9Nf4+uuviYqKYuXKlWK61cyZM/Hx8cHS0hKlUkloaCitWrWisrKSO3fuUFlZibu7++8Gn3bs2PF3p7CvMjKZjMzMTCIiIggMDGTFihWoqamxYcMGbt26RZcuXaiqqsLX15d+/fphbGxMeno6OTk52NvbY2RkhCAI4tBTuVxOaGioZGeWxMXFsWfPHrp160b79u3R1tbm008/pa6uDhMTE1JTU6msrGT69OlYWFjg5eVF165dRXkvXLiAIAj07NlTkgOxVZw4cYJr164xYMAA5HI5qampzJs3jzfeeIOFCxcye/ZsqqqqWLx4sdg5ys3NjZqaGjQ0NFi7dq3YhVNKNNlDkw5UaGtro6WlRWFhoRj8qaurs3HjRvT09Bg3bhxlZWXs2rULuVzOxo0bWb16Nb/88gsRERHo6urSqlUrDh48SFBQkNiNTmo0b94cmUwmdlNu06YNhoaGmJqaUlhYSFxcHAEBAejr62NsbIyvry9ffvkllpaWeHh4AC/GvEgVTU1N6urqePz4MZmZmaSnp6OhocGcOXNYsGABYWFhrF69GhMTEwICAti/fz96enrU19dTXV2Ni4sLNjY25OfnI5fLadGihSTmnf6dNAVPEubp06doamq+lI6gqlvS0NBg06ZNVFRUMHjwYIKDgxkzZgzZ2dmMHDkSFxcXrl+/jpmZGbq6ujx//px+/fqJM5CkSnx8PB9++CHBwcEUFxczcuRI7ty5Q1lZGQEBARgZGXHr1i2USiWdOnXi6dOn/zZwkPrpSXx8PN988w1ubm6kpKQwZswYHj16RFVVFR06dECpVJKamoqRkRFBQUE8evSIu3fvAuDo6CgGkFLl1q1b2NnZ8emnnwIwc+ZMDh48SEVFBQ4ODri6upKVlUVubi5BQUEYGhqSlpbGgwcPcHV1RVtbW7yJlDKbNm0iMjKSmJgYnj59yhdffEHbtm3p2bMnw4cP5/r16zx58oQPP/yQ8vJyamtrefLkCefPn+fatWu0bduWzp07065dO0mkLv9PpKSkYGhoSNu2bTl8+DBjxozhypUrGBsbEx0dTYsWLZg6dSqRkZGcPXuW7t27s2fPHsrLy/Hy8sLb25s+ffo0thh/iSZ7eD110LDWD17sa7a2tly9epVdu3ahUCgYOnQojo6OVFVVcfv2beLj49HQ0MDb25tdu3ZRVVXFhg0bePbsGRkZGbRo0YKuXbtiaWnZiJL9MX4rP/xr1EyLFi0oLS0lOTmZJ0+e4OXlJc4zysjI4PLly3Tt2hU1NTVsbGxo1qwZq1atom/fvpIOFFQ6sbW15fHjx8TExPD48WNCQ0MJDQ3F1taWiIgI5s2bh5WVFevWrcPf35/PP/+c3bt3Y2RkRPPmzTEwMKBjx46Sunn9O2kKniSIIAjU1tbyzjvvoKmpiaenJ/AiF9vR0ZHmzZuTmppKTEwMW7du5cmTJ0ycOJEBAwbg7+/PxYsXMTAwYMSIEbRr146OHTvSuXPnl1K2pELDAmCAwMBAbG1tycvLY8CAAbRp04aoqCi0tbWJioqiV69elJaWkpmZiaurK56enhQWFpKeni6eqEhJfvjXZlBXVyfO9erSpQuGhoZcvXqVYcOGMWHCBFauXElmZiYXL14kODiYrKwsCgoKaN26Nfb29uTn55OWloa2trYkF0SVHgRBwNHRkTZt2lBfX8+YMWNIS0vj/PnzhISEsHjxYlq3bo2hoSGpqakYGxvTqlUrampqyMjIIC8vDx8fH0k7SQDPnz+nsLCQ6dOnc+LECaKiopg6dSobNmwgJCSEqKgofvzxRzp27Ej37t05ceIEiYmJ+Pj4UFFRgZ+fHzY2Nqirq0sqcPp3Qx6Li4v5/vvv6dq1K66ursyfP5+OHTsSHh7OqlWrcHBwYNasWYwcORIzMzN8fX159uwZFRUVWFlZiam9UuJ1tgcVr7MOGh6qXrp0CVtbW2QyGWfPnmXevHnY2tri5OREt27dsLW1paysjCNHjvD555/j6+vL6tWruXnzJn379mXDhg3Ex8eTkJBAp06dJDHT7bfy19TUiGUKqgHZDg4OPHr0iOTkZHR1dXFwcMDCwgJ9fX2uX79Oenq6mKr3xhtv4Ovri4mJiSSah6n4dwE0vKh52rx5M0qlEkNDQ3x8fPDx8eHnn39GW1sbpVLJ0aNHCQkJobCwULylNTMz48CBA1hbW+Po6NhIUjU+TcGTBJHJZGhoaGBiYsL69etxd3dn+/btYlF4REQEz549o7CwkLy8PNavX8/8+fPp06cPTk5OpKenc+vWLZo1a/a70yOpBQ6q7xsTE8OdO3fE7nm5ubnk5eXx5ptv4ubmxk8//cT+/ft5/vw5AwcO5OjRo8CLLntWVlakp6dLtujx1q1bmJqasnz5cqysrNDS0qKurg4tLS0yMzMpKyujX79+WFlZsXfvXo4fP06zZs3o2rUrUVFRODo64uLigrGxMWlpaZiamkoyHUNNTY27d++yceNGOnfuDLxwmtPS0nB3d6djx44kJyezZcsWbt++zbBhw8jIyCAxMZGePXvi5OREfn4+jx8/xsvLCx0dnUaW6I/xn5wEDQ0N3NzcEASBmJgYOnToQGlpKTdu3ODChQu89dZb+Pv7k5aWRkJCAo6OjgiCQEREBKGhobRo0UJSQdP/NORRX18fuVxO+/btKSsr49ChQwwbNgwTExMsLCxYuXIl0dHR6OnpsXr1avG2rUePHnh5eUmupgNeX3toyOuqg982x9i+fTulpaUEBQWhVCqxt7enQ4cOnDhxgt27d3P9+nWUSiXff/89SqWSb7/9Fjs7O2xsbBgxYgSWlpYMHz6cnj17Si5wWrx4MYsWLcLAwAA7OzuMjIzEDsM6OjpYWFiIKZq2traYmZlhYWGBtrY2J0+epLi4+KUutFIKnP7T3gBQVlaGp6cn/fr1Y+vWrezYsYMbN25w8eJFAgMDiY2N5ZNPPsHa2poff/yRRYsWMWDAADGTyd3dvTFFa3SagieJ0bAbmouLC6WlpXzzzTdYWFiwe/dunj17xg8//EDfvn3R0dGhoKCAGTNmUF5ezsKFC4mIiMDR0ZGLFy9SU1ODt7e3pBwkFZcuXUJHRwd9fX3Wr1/P4sWLGT58OPb29sCLVpqmpqbEx8ezcuVKlEolMTExmJiY4Ofnh5mZGd999x0hISE0b94cV1dXAgMDJRc41dXV0b17d65evYqXlxdbtmxh9+7d+Pv7i41P9PX1OXz4MMuWLcPb25tNmzahp6dHmzZtKC8vZ/v27QwcOBC5XI67uzve3t6NLdYf5t69e9y9exdbW1vi4+MZO3Yszs7OdOvWDQADAwMsLCzIzs5m9erVnDp1il27dtG6dWt8fX0JDAxk0aJF2NnZ4eTkhIuLC4GBgZLZIP+Tk2BraytOt9fU1MTIyIgrV65w69YtDh8+zO7du3nw4AFFRUXMmDGDhw8f4u/vT0pKCrW1tXh7e0sudbOqqgpTU1M0NDSYNWsWZ8+e5aOPPqK4uJj6+no8PT3FBhglJSWEhoayYsUKjI2NGT16NEFBQdy/fx8/Pz8MDQ3F3yul2/jX3R6gSQeq7IPKykpGjx6Nuro68+bN48qVK5SVldGxY0e8vLzw8vKitLSUgoICfH19GThwIOXl5UybNo1vvvkGOzs7tLS06NWrl3jzqqur29ji/a+o1sS6ujqmTZtGTU0N48aNIzY2FplMhr29vTiiBV40g9HT0+PixYuoq6vj5uaGlpaW2CikZcuWol8hJf63ANLQ0BC5XC7++/r16/j5+eHq6srgwYOBF/WyGzdupEWLFnzwwQc0b94cDQ2Nl/T3uiK947TXGJUxqBbHlJQUbty4gbOzM1VVVQCYm5uTmJjImjVrWLBgAb169QLg2LFjYh/+yspKsRObpqZmo8nzZ2noxFRUVPDJJ58gl8upqKhg6NChdOjQgcLCQkpKSvD09KR169ZUVlaSkZHBe++9h56eHgEBAQiCQKtWrfD09KS2thZAEqdpKhrq4dq1awQEBJCbm4uuri5lZWVYWlqKc5gMDAxo27YtRUVFPHz4kPfffx8DAwNxTk1wcDBJSUnU1taioaEhuS6TWlpaLF++HA8PD1JSUujTpw9vvfUWAElJSbRp0wYPDw+ePXvGnTt36N69O3Z2dtjZ2aFQKNDW1qZXr17U1NQASKoAvKGT8Nlnn6GhocGSJUvYvn07xsbGhIWFic91QEAAz5494+rVqwwdOhQfHx80NTWpqKhAX1+fo0ePih0mw8PDJXfTEh8fz7x58zh79iyCIKBUKtHV1SUnJ4dFixYRGRkpvjcpKUlsNa6urs6tW7cIDQ0lLi6OjIyM3zmIUnISXmd7UPG660BdXZ20tDSmT59Ot27dxBovbW1t9u3bh7m5OV27dgXAy8uL4uJi3N3dOXXqFL6+vuzdu1dMzZJawyTVmpifn8+MGTNwc3Nj2LBhxMXFoaury/nz58WsC0NDQ/H9/v7+XL9+nb179zJw4EAADA0NiYiIkJSPpOKP7g2qtc3e3h53d3dcXV0pKytDR0eHsLAwXF1dad++vegn/f9SE/53IJ0E3tcYpVLJ2rVr+fzzz4EXi+OdO3eYO3cuwcHB7NmzBz09Pfr168eBAweIiYnh/v37rFmzRvwdVVVVtGjRAoDExES+/PJL3nvvvUaR56/QsLapuLgYDw8PKioqKCoqYuvWrZSVlbF27Vo++OADDh8+zNOnT8XAISQkhHPnzpGXl4empiYymQwDAwPq6up48uRJI0v252gYON27d4+cnBx++OEHPDw8WLZsGVu3bkVdXZ2VK1eKn2nWrBndunWjc+fOHDhwgIqKCnFDMDY2prq6WgysX3Uazh8qLCzE1NQUc3NzEhISWLVqFfb29hw6dIgRI0awfft2MjIyUFNTw8fHh4iICMrKysSBsaobVy0tLcrLyxtFnr9KQydh1KhRNGvWjPHjx3P//n3RSUhISHjp+e7UqROenp7Y2NgwdepUZs2aRXl5ORs3bmTJkiWEhYXx1VdfSeogAf7YkMfa2lpxyOPQoUPFjnmqwwaA+/fvExISIg5HlQJN9tCkg9+Sn5/P3Llz8fPzEwOnRYsWkZycTO/evdm7dy+pqakA2NjYcPXqVYyNjdHS0uLhw4eYmZlx48YNLl++LLmaFjU1NRITExk3bhzBwcEMGjSInTt3Ul1dzZgxYzA2NiYqKork5GQAceg3wJgxY1AoFOzevVt8TcqB0x/ZG1S+hI+PD8+ePePx48cIgsCBAwcwNDSkS5cu/PTTT5LuLPh/RVPankRQV1fn+vXrlJWVUVBQQEFBAdXV1ejr6+Pv70/wS0zDAAAgAElEQVRsbCy//vorvXr1IjQ0FENDQ5YuXUrLli1xcnJi2bJluLm50b59e9zc3PDz82tskf4wDa+fZ86cyb59+3j//ffZv38/RkZGaGhokJWVhYeHByNGjKB79+5oa2ujrq6Ovr6+GGxqaGjg7OxMXV0d6urqhISESKJjUEMKCgqAFwt9VlYWEydOZOHChWhra+Pl5cXmzZsxNTVl4cKFnDlzhqdPn9K8eXNMTEyor6/n9u3bmJmZYW1tTX19Pfr6+uLz8qrTMHDct28fkyZNYsSIEdy+fZusrCx8fX2Jj4/H3d2dnj17MmzYMORyOc+fP0dXVxdjY2Oys7PF+gWZTIaamhodOnQQb+KkgkwmIzExkenTp9OvXz+Cg4OJiopCTU2N/v37k5mZyaVLl7C3t8fe3p6CggIMDQ2xtrbm8ePH5Ofn4+PjI7bgVs0BkxIVFRUUFxdjbGzM8+fPOXDgAGVlZbRo0YKUlBTy8vJYtWoVO3fuZN26dVRXV/PGG28gl8sRBIHKykoiIyMJDw/H1tYWTU1NsWBcCjTZQ5MOVOTn55OQkICLiwtqamqUl5djZ2fH8+fP+e677ygpKWHr1q1iau6FCxdo1aoVLVq0oKKigjZt2ogD1PPz81FTU8PPz4+2bds2tmh/mgMHDnDz5k3eeustYmJisLe3x83NjXv37mFiYsLz58/FeVVbtmwhKCgIbW1tsT5OW1ubgICAxhbjL/Nn94aHDx9ibGxMSUkJgYGByOVysrKyyMvLw8bGhvr6eoYOHdrYYr1yNN08SQCZTIa/vz/vvvsuq1atYvLkyRw9epSvvvqK1NRU+vTpg6WlJbGxsZw7d4758+ezbt06PvjgAx48eADAhAkTeOeddwBppSGoWsM+ffqU0aNHc/v2bfT09Hj06BE9evTgq6++Ijs7W0y/cXd3p7q6mo8//pilS5cC4O3tjYmJCceOHQP+dZoktVOlnJwcIiMjmTZtGnZ2duTl5TF79mwCAwP55ptv0NHRobKyEmNjY7Zu3crRo0fx8vLi9OnTCIIgXr+fOHECQEzNkkJr+oZO0qJFi9ixYweWlpbcu3cPNzc3FixYgI6ODuXl5dy9excfHx8MDQ359ttv+eyzz6iqqsLCwgJPT09++eUXKisrxe6SUuXSpUs8efIEZ2dntm/fjrW1Nd7e3qSnp+Pu7o6lpSUKhYIdO3YwZ84cCgsL0dfXp1u3bsTFxZGYmEhWVhZTpkwR0zylwrNnz4iOjiYqKoqnT5+SkpLC0KFD2bt3r9h+unfv3owbN47q6mqWL19ORkYGhw4dQqFQIJPJKC0tRaFQiI0yvL29JeMwN9lDkw4aUlxczCeffEJKSgoGBgbU19dTXl7O/PnzEQSB77//Hk1NTY4cOcKpU6cAWLFiBQqFgrfffhtPT0/8/f3x9fXl0aNHtGvXjrCwsEaW6s+jVCqZNGkS7du3Z+bMmbRq1QpHR0eys7OprKzE3NycLl268PPPP5Oens748eMxNzcX90I/Pz9KSkoaWYr/nj+zN8ydO5eqqiqCgoJo06YNnTp1wsXFhXv37lFfX8/IkSMbW5xXkqabJ4kgCALjxo3D19eXw4cP8/PPP9OtWzcCAgK4cuUKgwcPxtXVlZs3b3Lo0CHGjRvHqFGj8PHxQSaT4eTkJJmC14bIZDIKCgoYPXo03bt355NPPqGwsJAePXpgZmZGVVUVly9fZtiwYSQmJhIdHc2JEydwdnamrKyMJ0+e4OHhgZ+fH5s2baJly5ZivYPU0NXV5dq1a1haWjJ79mwcHBx48OABoaGhHD9+HCcnJ7744gtxMdy8eTMLFy7k9OnThISEoKGhgZOTExs2bKBz584YGxs3tkh/GJWTNH36dMrLy9m0aRNlZWV06dIFHx8fSktLSUlJwd3dHVtbW+bMmUNCQgJKpZLmzZuTnJxM+/btcXR05Pz58zx69EiSDUJUKJVK2rVrR3p6Otu2bSMsLAwrKytycnJ4+vQplpaWODo6Eh8fT2lpKSNGjMDV1RVBEDAxMRG77k2YMEHsJCUl/o4hj6ampjg7O0tyPEGTPTTpQIVCocDa2pqWLVsyZcoUrly5woMHDxgyZAhPnjwhICAAT09PNmzYwIEDB1iyZAnh4eFcvXqVpKQkgoODgRc2ZW1tTceOHSXRGAJeDqDz8/NFm3/77bc5c+YMBQUF6OnpoVQqsbCwQKFQEB8fj5aWFoMGDaKgoICUlBTi4+Px9/fH09OTgIAAyR2sNuTP7g3Dhw+nRYsW4uBgAAcHB/z8/DA3N29kaV5dmoIniaAaYDlnzhxkMhk7duzA0dERIyMjKioqOHPmDMeOHePJkycMGjSIo0eP0rZtW0xNTX83C0lq5Ofn4+LiwptvvsnChQspKSmhrKyMyMhIioqKaNasGeHh4VRWVrJv3z66d+/OjBkzqKurIyEhAQcHB8zNzcWaDymiVCrR1NTE3NycFStWEBAQgI2NDVu3biUuLo5nz57h4ODAokWLCA8P5/Lly8TGxuLg4MCSJUvQ0NAgJSUFc3NzevXqJbmbBoDq6moqKyuZOnUq69ev5+bNm9TU1LBr1y6uX7+Onp4e3bt3x8nJie3bt6Ojo8PGjRuxsLDg4sWL1NfX4+zsTEBAAG3btpXUBvl3OwkuLi4EBARIIl3zt/xdQx51dXUlaQcqXmd7UNGkA8SumC4uLuzdu5fc3Fx+/vlnLC0txeYRS5cu5eHDh2zZsgVbW1t0dHRo2bIl0dHR1NfXiyM+VOnuUkE1xwteBH8XLlzg3r17ODs707dvXzZu3EhNTQ0BAQE8efKES5cuYWdnR//+/dm8eTO3b98mJSUFR0dH7OzsMDAwkNwz8N/uDY8ePSIlJYVz587Rpk0bZDIZmpqakptr90/TFDxJBF1dXfz9/YEXi2VsbCyRkZGkpaWhq6uLpaUlt27dYvny5XTt2pU7d+6wZ88eBgwYIKnFUEXDgE8ul9OyZUsqKyvx9/enuLiYgwcP4ufnR2pqKuPHj+fy5cts2LCBMWPG8PjxYzp37kzz5s05duwYfn5+WFpaSuqm5bcBr0wmQ6FQYG5uTk1NDdHR0fTv35+0tDRat26Ni4sLOTk59OzZk379+nH48GHu3LnDpk2b0NLSYuHChaxcuZLBgwdjbW3diJL9ORpujlpaWnh7e6OmpoaRkRF2dnbs2bNHbP7h5uaGp6cnI0aM4O233wbAzc0NJycnzp8/j46ODj4+Pujp6Ulug/w7nQR7e3tMTU0lk777fzXk0dbWVnItiJvs4fXWwX9qm19SUkLPnj0JCgqitLSUkydPkp2dTXV1Nbm5ucjlckJDQ8UgCV60r87OzhYHAEut5rGgoIBBgwYRGhqKrq4umpqaeHh4kJCQQE5ODgEBAXTo0AFBECgqKuLKlStiGUBERASdOnViyJAhhIeHExgYiIGBQWOL9Jf4u/YGBwcH7O3tJauHf5qmmieJocrHrqurEyeGf/XVV0ybNo133nlHrF+ZP38+X3/9teRaDqvkU1NTIz09nQULFgCIpyZXr17lp59+ory8HCcnJ9q2bcuqVavIzc3lwIEDvPnmm6SlpQFw6NAhrl69KqnuWfByS/ply5aRmJgI/Mtp9Pb25tdff2XZsmV88cUX9O7dm/v372NsbExNTQ1jxozhu+++Y//+/WhpaTF16lSuXbvG/v37xdkVUkDVkl+pVDJnzhxKS0tRKpXAi+dk/fr1PHv2TNwMY2NjiYmJYenSpYwfP56srCyqq6u5e/cu0dHRkgqeG1JQUECfPn0oLS0FXhykqGp5YmJi0NbWZs2aNQQGBpKdnU18fDy1tbWUl5fj6urK119/TWRkJDt27GDcuHGSaYgALx8iXLp0iczMTPFnT58+ZcyYMSxatIjMzExGjhzJ6NGj2blzJw4ODhw9epRJkybRqlUrsrKy+O6779izZw8LFy5k3bp1dOjQobHE+ks02cPrrYP/ZAsymQy5XM6WLVtYtGgRQUFBJCYmcvToUezt7bGyssLb25vU1FSSkpKoqanhgw8+oKamhoMHD7J+/XqcnZ0bU7S/hJWVFfb29i/V5FhYWDBkyBAePnzIoUOH8PDwwNDQkFu3bjF06FDee+89lEolkZGRYrCoCjykyOu8NzQ20n1qXlNkMhl1dXXU1NQwd+5cdHV1mTVrFgBDhgxBLpdTX18PvDhhkxI1NTUvbQ6zZ88WT4ZlMhmVlZUkJSWxc+dOZs+ezaJFi9DT0+Ptt99m3LhxGBgYUF1djVKp5Ndff6W6upq4uDgcHBwaU6w/hepk7OHDhwwePJhLly6xZcsWcnJyxEW+ffv2WFlZiVO/VemJ27dvZ/Pmzbz//vtiEf2cOXOor6/n8OHDWFlZNbJ0fwzVfBV1dXWKioqYMGECtbW1mJmZiUHlmTNnGDdunFjjduXKFUaMGMHo0aPFTpKCIFBcXExSUhJbtmyhX79+jSnWX+Z1dRJ+O+Rx7NixxMbGkp+fD7zQi6enJ9bW1owfPx4TExNsbW3p0qUL4eHhhIaGsnfvXj766COMjY3x8PDA29sbbW1tSZ2yN9lDkw7+N1sAcHFxAWDQoEF06tSJiooKnjx5wpQpUwgLC8PU1JRjx47Ru3dvvL29Wb58OTo6OpK+aVi7di0aGhqMHTtWfM3Ly4uQkBBSU1OZPHkycXFxjBkzhnv37uHn50ePHj3EzByQ3rrYkNd1b3gVaErbkyDPnz8nPz+fwMBA+vXrR2RkJJWVlWLhtxQNIS4ujkuXLuHn58fRo0dZuXIlHTp0ICAgAG1tbfT19dHW1qZHjx7o6+uTl5dHfHw8urq6+Pj4YGNjg0wmIzk5maqqKt566y0CAwMlk7erSseQyWRcuXKFqVOn0r9/fxYtWsTjx4+Jjo6me/fuqKmpoaamRnV1NZ06dSIpKQk9PT1mz56NlZUVcXFxNGvWjDNnzuDi4oKnpycTJ05sbPH+MOnp6URHR+Pr68u9e/eYPn06RkZGDBw4kLq6OtFZ8vf3x83NjeLiYuLi4qitrcXJyQl3d3c0NDTEOsDx48fj5+cn6doWgJ49e3L48GFOnz4tOnzNmzdHS0uLCxcucOzYMTIyMhgzZgx3794lODgYTU1Nzp07R2VlJd7e3pKqe2w45HHatGnU1NQwbtw4YmNjkclk2Nvbi0XtMpmMp0+fkpOTg7+/P/X19bRu3RpnZ2csLCzw8vLCxsaGVq1aSW7IY5M9NOngz9gCIDZSGT9+PJ999hkeHh64urpiZWVFVlaWWDutpaX1H9MAX2USExMpKSnBwsICTU1NunTpwrp16ygsLKRTp04AODo6UltbS1JSEiEhIZibm7Nu3Tree+89mjdvjqGhIZ06dZJMY4z/iddtb3hVaAqeJIiWlha+vr7I5XL09fXx9PRk9uzZdO3aFblc3thf70+jUCi4ceMGv/76KwcPHiQuLo6uXbvi5eXFsWPHxLkM6urqopHb2dmRnp5Oy5YtiY+Px9raGktLS/bt24eFhYXkOog1nFWyfPlypkyZwltvvQXA+vXrUSgU9OnTR6xTMTMzw87OjsDAQNauXYuJiQm9e/fm8uXLfP311/Tp0wcPDw+cnJwaTaa/wq+//kpaWhonT55kx44dtGzZkuDgYC5fvkxaWhqenp7o6uqKBwRGRkbcv38fFxcXEhMTkclktGjRgmvXrpGVlUXfvn0luzG8rk5CwyGPkyZNws7OjlGjRnHjxg0KCwvJzc1FX18fa2tr0R7Mzc3Zt28fZmZmyGQyMjIyxMYY3377LQEBAbi7uzeyZH+eJnt4vXXwZ21BJpOho6PD3Llz6dixI7169WLq1KmEhIRga2uLnp4eNjY2Yu3Tq66H3wZ35eXl7Nu3j8OHD9O2bVsMDQ0xMDCgdevWzJ8/H7lcLsrm6uqKtrY2ISEhXL58mdzcXAYMGICWlhZOTk6SWhN/y+u6N7xKSO+KogkADA0N0dDQQKlU4uPjw+HDhyXpHNTX16Ourk7Pnj1JS0vj6tWr+Pj4MGTIENTU1Lhz5w51dXWkp6cDkJKSQmlpKaWlpWRmZvL+++/TpUsXfvjhBxQKBVOnTmX06NGNLNWfo7S0lJs3b5Kbm8vcuXOZO3cuvXv3pry8nE8++QRTU1MiIyPR09Pj559/Zvjw4djY2GBvb4+7uzsTJ05k8+bN5Obm4ubmJs6pkNK8ElWqaVBQEFVVVZw+fRozMzOGDh2Kk5MTqampPH/+nHv37gEvugplZWUBL+ZfeXp68vnnn7Nv3z5yc3Pp2rUra9aseeWdAxW//VuVl5dz6tQplixZwsOHDwGwtLRk7dq17N69m5iYGPG9ffv2ZejQoYSFhZGZmSlOgzcwMBBb+ksJNTU1EhMTGTduHMHBwQwaNIidO3dSXV3NmDFjMDY2JioqiuTkZAAePnyIhoYGXbt2JSgoCD8/P8rLyzl48CAlJSUEBwcTHh7eyFL9OV53e4AmHcBfswVtbW1mz55NYWEh3bp1Y+TIkbz11lsoFAp8fHzo27dvI0v1x5HJZOTn53PkyBEATExM6NOnDy1atGDFihViOqefnx/ffPMN8+bNE2uEAUJCQtDU1OTmzZuSSdH8LU17w6tJU/AkcVSnbVKq64EXC4IgCGhoaPDgwQM+//xzlEolfn5+1NfXs3PnTrZu3UpwcDDW1tasWrWKkJAQIiMjMTAwwNTUlG7dulFdXU1FRQXnzp2juLhYcg0yAIqKipg3bx7m5ua8++67/Pjjj9y4cYNRo0Zx8+ZNcdZCZGQkq1atYvjw4S/J2aVLF9566y3effddHjx4IOawS8VJUCgUojyLFy/mzp07tG7dGhMTE+Li4vjmm29wdHSkY8eOHD9+nH79+vHhhx+Ktw7BwcEolUrq6uq4evUqeXl5jSnOX6LJSXiZ13nIY5M9NOmgIX/WFkpLS+nYsaOYuTB58mQCAwNJSEhoZEn+PAqFgp9++onY2Fh++eUXAHx8fAgJCaGuro7ly5eL7w0LC2PixImMHj2aoqIi4EUKY21tLY6Ojvj6+jaKDP8tTXvDq0lT2l4TjYKqvufatWvMmzcPHR0dRo8ejZubG6dOneLGjRv06NGD7t27k5KSwpUrV9DU1CQ8PFxsTduuXTsMDQ158OABn332mWQaIvwWuVxOQUEBeXl5TJw4kR07drBp0yY+/vhjFi5cyJIlSzh16hTx8fHs3bsXHx8fsWOOqqZLlaL34YcfSqLlbkPU1NQoLS1l+vTpZGZmMmzYMHr37s3169c5c+YMTk5OvP322xQXF3P69Glqamrw9fUlIiICAHd3d1xcXMjOzqZPnz506dKlkSX68ygUCvbt28fZs2fR1tamZcuWWFhYoKenR3JyMqmpqWI6hqoRzPz584mIiEBfX5+6ujoUCgW5ubkEBgaKJ4xS5HUf8thkD006UPFXhmG3bNkSDQ0NZDIZNTU1aGho0KdPH0kesKqpqWFlZUVxcTE3btzA1NQUGxsbmjdvjra2NhcvXqSwsJDWrVsDEBgYSFZWFmvXruW9995DXV0ddXV13N3dJdtJrmlveDVpCp6aaDROnDjBt99+S0hICC4uLtjb23PixAkKCgrEWUT3798nISGBDz74gMDAQHbs2EHr1q1p1qyZ6Ci5ublJcthnQ6qqqkhLS6N9+/b06dOHnj170rFjR9TU1IiLiyMhIQEjIyOePn3K2rVr2bBhA7/88gvV1dW0bt0aNTU1HB0dJdksJC8vj7Fjx+Lp6Unbtm1xcHAgLS2Nixcvirn8JSUlnD59mjZt2jBhwgRiYmIwNDTE1dVVnGNmbW0tOQcBmpyEpiGPL/O62wO8vjr4u4Zhq2xBapkYDeVX/dfQ0BAzMzOysrK4desWjo6OmJubY25ujkwmIy4uDg0NDVxdXQHo2rUrx48fJycnh44dOwJI7kBRxeu+N7zKNAVPTTQaWlpahIWF4ezszNGjR9mzZw9aWlqMHDkSmUzGpUuX+PXXX/nqq6/w9fXlq6++olevXnTr1k2Sg38b8tshuCYmJixevJhHjx4RGBiItbU1ubm5vPvuu2hoaIizS0JCQnj33Xdp1aoVoaGhdOnSRXIb5G8xMDDA1dWViIgITp06xd69e8nOzmb48OE4OTlx/fp1EhMT6devHx9//DGLFy/GzMyMYcOGSbbYtclJ+BdNQx5f5nW0h9/yuurgdbaFhu3Y4+LiyMrKomXLlgA0a9YMXV1d7t69S3Z2Nl5eXhgbGyOXy6mpqeHnn3/G1tYWa2tr1NXVCQkJwdjYGCsrK8mkr6to2hukQVPw1MQ/iipoEAQBExMTjIyM0NTURFNTE319fYKDg6mtreXKlStUVlbi4+PD48ePWbduHZMnT2bQoEGSD5xUgx4Bnjx5gra2Nnp6ejx69IjDhw/j4OBAVVUVI0eOZPjw4Xz11Vfk5+fj6+vLsWPHGDlyJE5OTpiamqKlpfW7QOxV5d+1xVXpQrXpqYY8v/nmmxgbG3Pr1i3S0tLw8PDAyMiIdevW4evry5w5cyTrJDU5Cf+ioKCAQYMGERoaiq6uLpqamnh4eJCQkEBOTg4BAQF06NABQRAoKiriypUr4mlsREQEnTp1YsiQIYSHhxMYGCgpZ7HJHpp00JDX2RYa7okrVqxg7969DBo0CLlcLj4jNjY21NTUkJqaSnV1NV5eXhgYGCCXyyktLSU6Opr27dtjZGSEtrY21tbWklsTm/YG6dAUPDXxjxAZGYlcLsfExITa2tqXbks0NTUxMjIS51McOnQIc3NzVq5cyS+//MLp06cZNmwYAwYMAP79hvuqU1tbi7q6OrW1teIJ0OTJkzl//jzBwcHIZDLu37/PrVu3qKmpQS6XM2DAAPr168fDhw85cOAA8+bNIy0tje+//17sRgjSaQwhk8m4cOECN2/exM3Njfr6+t/dmjVr1gyFQkF1dTUnT54kJyeHtWvX8uTJE3bv3o2Hhwdz5swBXj6llQpNTsLLGBoaEh8fT1RUFG+//Tbw4tahefPmXLhwgdLSUt58802ysrK4fPkyQ4YMISAggLt375KZmflSLYvUdNBkD006aMjraAsKhYKEhAQcHR0B+Pbbb0lMTOTAgQOYm5tTWFhIUVERpqamAGId2+3bt3F0dEQul2NsbIyBgQFaWloEBgaKwbbUaNobpEVT8NTEP8LBgwf5/vvvGThwIDo6OgAkJSWJtU36+vo8e/aMjRs3EhQUxIwZM1i3bh1lZWV07tyZ0tJSPDw80NPTk9xikJCQQGxsLK6urujr61NbWyum4y1dulQMptTV1WnRogVaWlpcunSJ9u3bY25uTkpKCpmZmYSFhREYGEhJSQkBAQGSdBIyMzOZMmUKQUFB2NjYAHD37l10dXXR0tJCQ0MDCwsL1q5di7q6OkuXLiUpKYkDBw4waNAgysvLsbW1RS6XS0r+JifhP/M6D3l8Xe2hIU06+Bevmy1kZGSwbt06WrZsyRdffMHp06dxdXXl0qVLHDt2jMWLF1NVVYW/vz9aWlrIZDJcXFzYtWsXMpmMgIAA4IWO2rRpI8nBv017gzSR9krTxCuNQqFAoVAAsGDBAry8vJg8eTIAkyZN4ocffqC2thZ4cTMTHR1Nz549+fDDD5k6dSoVFRWsWbOGc+fOkZeXJ9kuMXl5eeTk5HDp0iVyc3Pp27cvPj4+rF+/nqVLl5KWlga8GGrXv39/JkyYgLOzM7t37yY/P5+EhAT09fWBF6eTn3zyiaTqnJRKpTironv37nz55ZdMnjwZpVLJtm3b+OSTT/4fe+cZV8W19eHnwKGD9CoIYkEpCkZRsIto1Kixx14winrtvSaaGCu2YIu9ErvGjhgVlaJYEHsviCAKCIJSztnvB98zF3Nz3/dqCvfIPF+Ew5z5zVrOmr3X7LXXX2otC7B//34MDAxYtGgRGzdu5Oeff2bdunUUFhYSHR0tCaFqE3fv3mX9+vVcvXqV0NBQaWCcNm0aI0eO5IsvvmDdunVkZ2dLvuratSuPHz/mxIkT0nm8vb35+uuvMTEx0Sodr9+SkJBAUlISAEZGRixbtoxr164xa9Ys6ZiGDRvSsGFDsrKyCA4ORqlUsmfPHoyMjKhduzbt27enefPmJWXCRyPHg+yD4pTGWNBIlTg5OSGEYMCAAfj4+LBhwwaGDRvGnTt3aNmyJQcOHKB27doYGRmhUChQq9VYWFgwcOBAtm3bRnp6+r+cW9vuA3ls0FKEjMyfzLFjx977PSsrS5w8eVIIIUTnzp2Fl5eXGDJkyHvHFBUViadPnwohhFi4cKGYP3++EEKIuLg46WdtRaVSib1794q+ffsKX19fsXfvXpGRkSHatm0rmjVrJvz9/UVOTo4QQoj8/Hzpe5MnTxYLFiwQGzZsEDdv3iypy/9ozp49K/Ly8t777Pjx40KtVovZs2cLb29vERwcLJKTk987Ji0tTQghRHx8vBgwYIAoKioS6enp4rvvvhMvX778267/z0CtVgu1Wi2ys7NF3759RUBAgAgPDxfXr18Xt2/fFl26dBGRkZEiNTVV7N+/XxQUFAgh3t0zQryLpYYNG4rnz5+XpBl/CLVa/d7vmZmZYvbs2aJnz55SzAshxKVLl4SXl5fYtm3be8cfPHhQFBQUiF27dolevXr9Ldf8VyDHg+wDORb++WwT4t3/p7+/v1i4cKH02YIFC0TXrl2FSqUSK1euFPXq1ROpqamisLBQCPHOh5pnZ0pKyt9+/X8W8tig3cjJk8yfyp07d0T79u3F5s2bhRBCpKamimPHjokJEyaI48ePi7dv34pmzZqJiIgIIcT7yYKGN2/e/O7P2kZRUZH088qVK0X16tXFkCFDxJYtW0SDBg3Exo0bhRBCTJgwQbRp00Y6VuOTzMxM0adPH7Fu3bq/9br/DLKyssSIESPE+PHjhRDvHvhxcXHihx9+EHduK7EAACAASURBVCtXrhRCCDFx4kTRv39/IcS7gUSlUv3L5EKDZuDQJuRJwj9JTk4We/fulX5PTEwU06ZNE2PGjBFv376VPt+3b5+oUqWKOH/+/L+cY+rUqWLHjh1/y/X+2cjxIPtAQ2mPBQ1Lly4VrVq1Ei1bthRJSUlCCCFCQkLEhAkThBBCzJs3T/To0UN6sfhbhg4dKi5evPi3Xe+fiTw2aD/ynieZPxUDAwPKlSvHL7/8wvnz59myZQu9e/dGCMHp06dxdHTkyy+/ZMSIEVSoUIFKlSpJzRTevn2LWq2WVOKFEFrbXrP4xudp06YRFRXFsmXLiI2NZceOHQwfPpzu3bsD0LRpU/bv38+vv/5Kq1at0NXVRa1WY2RkhJ+fH1WqVNGqzkkASqUSNzc3EhMTOX78OCtWrCAgIAAPDw/OnTvHy5cvGTp0KKtWreL+/fs0bNiQoqIiacPs69evpbpttVqtVWWKGjTlI8uWLWP16tUYGxszcOBA7Ozs6N+/PwDLly8nLCyMc+fOERERgZWV1XuNQKytrYmOjqZSpUpaKwItizzK8QCyD0COBfG/+5HmzZvHmTNn2L17N2/fvuX+/fvMmzePwMBAxo8fz8SJE8nIyGDSpEksWbKEo0ePcujQIW7cuIGFhQW2trbUr19fqzS8iiOPDdqPnDzJ/CF+291IX18fV1dXduzYwfPnzyksLCQwMJDq1auTnp7O2bNnCQwM5LPPPmPChAkEBQVha2tLXFwco0aNIiAgQNoYqW21y8XR+CQkJIRXr14RERHBnj17iImJoW7dulIXJXNzcwBq1arF4sWLadCgATY2Nu+1c9eGxEn8ZpOujo6O1Ozi119/lTa1fv755xQVFREfH49SqSQ0NJTp06djZGSEr68vOTk59OzZExsbGypWrAho530gTxLeIUqpyKMcD7IPfktpjYW8vDz09PTea8Ot2bekVCr56aefePXqFZ07dyY4OJgBAwZw//59+vTpQ6VKlbh48SJWVlYYGRnx9u1bWrdu/V4Le21DHhs+DeTkSeajUavV6Orqkp2dzc8//4ynpye6urpMnTqVhw8fsnv3bnR0dCgsLKRq1arcv38fpVLJ2bNn6dChA8bGxsybNw8dHR1mzpxJ//79qVu3bkmb9dEUFBTw9u1b9PX1KSwspHPnzlhbW7Ny5UpGjx7NvXv32LNnD/b29sTExJCenk7FihV5+fIlwcHBdOjQgQ4dOkjn05YJQvFBcd26dTg5OWFqasqRI0cICwtj9erVBAcHc/v2bfz8/Hj16hVv377l6tWruLq60rJlSyZPnoyFhQVTp07F09OTAQMGlLBVH448SXhH8UlzaRR5lONB9oGG0hwLQggKCgro3r07enp6eHp6ArB+/Xrc3Nyws7MjKSmJ7du3s27dOnJychgyZAjt2rWjZs2axMTEYGpqSs+ePalTpw716tWjQYMG6Orqal1HPXls+PSQkyeZj0LzFu3mzZv069cPW1tbSWfCzc2NIUOGALBjxw7WrFlDQkICd+/exdXVlcLCQq5du8aAAQNYu3Yt8fHxhIeHExQUVJImfRRCCN68eUNBQQGHDx/mwYMHuLi4YGhoyGeffUb37t1Zs2YN0dHRREREoKuri4ODA3l5eVy7do3s7Gy8vb3x8/OjT58+AFojegv/nCQVFRURGhrKnTt3+Oqrr9DV1cXGxobevXvj6urKlStXmDFjBhcuXODSpUuYmJjg4ODAmTNn6NKlC2lpaSxevJhBgwYxcuRIQHv0vORJwj8p7SKPcjzIPtBQ2mNBoVCgVCqxsLBg2bJlVKlShQ0bNrBnzx4OHz5M+/btefPmDWlpaTx58oRly5Yxffp0WrRogbu7O7du3eLq1atYW1vj4ODwL+fWBuSx4dNFTp5kPghNwCoUCo4ePcqkSZP49ttvad26NUII6WGpCerz589z69YtlEolGzduxNPTExsbGy5dusTMmTMxMzPj559/pnz58lqVNAghUKlUbN68mUOHDnHnzh3Onj2Ll5cXXl5eAFhaWkq1yWfOnKGgoABXV1cMDQ3x8PDg2bNnJCUloVQqCQ4OBt4XyvtvRzM5SE5Opm/fvgQEBDB79mxevHiBqakpBgYGGBkZAfDw4UPi4+PJzMxkwYIFtGzZEltbW168eMGMGTO4cuUKS5cupVWrVoB2TZLkScI7SrvIoxwPsg80lPZYEP/bKlutVlOpUiUyMjL44YcfsLe3Z8uWLbx584Y1a9bQqlUrDA0NefbsGRMmTCArK4uZM2fSvn173NzciImJIT8/Hx8fH60ZF4sjjw2fLrLOk8x/TPHBa+XKlSxevJjVq1ejr69PQEAAAwYMkBKgwsJChBCkpqYycuRIjIyMmDt3LgYGBjg4OLB37168vb3Zs2cPlpaWWqcMr3ko5ufnc+fOHRISEvDz8+Ozzz5jz549vH79mtzcXAoLC3F1dWXUqFHSnqe3b98C8OWXX+Lq6srRo0c5f/48gFYNEDo6OsTExNCnTx9CQkLo1q0bbdq0oXXr1jx8+FC6D+CdGGKLFi1o3bo1U6ZMAcDZ2ZnDhw+jUqmIiIggICAAtVoNaM/AIP5Xr0SlUtG8eXNatGjBoEGDyMjI4Ndff6Vjx44MHz4cc3NzGjVqRG5uLqtWrUKtVjNo0CBMTEz46quvKCwsJCEhQfKXNqFSqTh9+rR0786ZM4f4+Hh++eUXqlSpQlpaGg8ePJCOb9myJRUrVuTChQvcvn0bABcXF5o2bUrTpk2lPY/ahhwPsg/kWPhn5YSmrP/KlStcunSJihUr8vr1awBsbW1JSEjgxx9/pHnz5gwfPpyyZcuSmJhIXl4eANnZ2ezbtw+lUqkVZYq/RR4bPm20Z7YqU+JoBq9JkyZx5swZtm/fzoULFwgPDycmJob79++zcOFC4F1NtkKhoEyZMjg5OfH9999z/PhxqZFEixYtCAsLA/65d0qbKCgoIDY2lmfPnvHq1StiYmLIysrim2++4cyZM+zcuVNahhdC4O/vT69evVi/fj0XLlygqKgIU1NTWrduzWeffYa3t3dJm/TBREREMHXqVBYuXEiFChXo378/s2bNonnz5gwePPi9Y01NTTE1NWX06NEYGxszevRohBA4ODiwY8cOXFxc3itz0QbkScI7ZJHHd5T2eADZB6U5FtRqNeHh4YwfPx549yLw+vXrTJ06leDgYCIiIjA2NqZ169bs2rWL7du38+jRI3788UfpHK9fv6Z8+fLAO/Hgb7/9lt69e5eIPX8EeWwoBfwF7c9lPkHu3LkjCgoKxMGDB8Xo0aOFEELMnTtXDBkyRBQWFooNGzaInj17ilevXom1a9eKUaNGCSGEePz4sXSOuLg40aBBAxEXFyd99u80PP5biY2NlX7etGmTGDNmjEhMTBT9+/cXGRkZIiUlRezfv1/4+/uLGTNmCCHet3HBggUiLCxM5Obmap3tQgjx/Plz8ezZM/H48WPRt29fkZycLI4fPy5at24tHj16JGJjY0W7du3EuXPnxKVLl0S3bt3Eq1evRHZ2tsjKyhJCCJGRkSHatWsnfvzxR+m8xTWx/ttRqVTixx9/FGPGjJE+u3btmmjTpo3YsmWLEEKIUaNGiS+++EJ069ZN3Lx5U/To0UMsWbJEOn7evHli6tSpQgghNm/eLOmeaROyyKMcD0LIPhBCjgUh3vng/PnzYujQoWLLli3i6NGjYvfu3WL06NFi+fLlQoh32kzFNY0iIyNFjRo1xLFjx4QQQrRv314sWLBACCHe07zSFuSxofSgPa90ZEqMGzdusHr1ao4ePUrLli2ZP38+N27cIC4ujn79+jF16lRu3LjBxo0bWb16NRcuXODhw4csX74cFxcXAAoLC6lduzYDBgyQ3rAJLaphB3jy5Ak7d+5k69atAAQFBTFs2DD09PTIysoiKyuLI0eOcOrUKYYPH8758+e5fPkyCoUClUoFwMiRI+natStGRkZaZTtAZmYmq1evlt4Kr127Fjs7O9auXUu/fv2Iiopi8eLFrFixgszMTGbPno2lpSWjR4/GzMwMc3NzCgoKsLS0ZObMmVy5coU3b95o3cqjQqGgTp065Ofns3XrViIjI7l16xaVKlUiOzsbeHe/P3/+nFq1auHh4SGtOkZFRQEQGxsrleR07NiRr776qsTs+Rg0b1YVCgU3btzg2rVrdO7cmSFDhlC1alUOHDiAjo4OQUFB7Nu3jzlz5pCRkUFRURE6OjoIIXB1dcXBwYGioqKSNuejkONB9gHIsaBBoVBQs2ZNevXqxeLFixk2bBi//PILM2bMICkpiRYtWuDg4MDBgweJjo5m+vTpLF26lJCQEJKTkwEYPHiwpH+o0XvUJuSxofQgN4yQ+X8xNjYmMzOTx48fc/XqVRYsWECHDh148+YN4eHh+Pv7M27cOIYNG8b9+/dZs2YNSUlJ7NmzBxMTE3x8fKTBpVq1alK7VW1LHvT19bGxsSE6OpqXL19y9epVsrKySE5OxtzcnCdPnpCQkECVKlXo2rUrTk5OzJs3j0aNGlGmTBlpkDUzM9M62wGMjIx4/fo1qamp3L17l7CwMBwdHalRowbLli0jNzeXlStXsn37dhYsWMDBgwfR19dn8+bN3Lt3j+DgYHR1dSkqKsLe3p7WrVtL5Z3ahEKhwMnJSSrH2bt3L3l5ecyfP5/NmzcTHh6Ol5cXCxYsIDw8nJs3b/LLL7/QqVMn3rx5g6+vLzY2NjRt2hQTExOtFPuURR7leADZByDHQnGEEISGhlK9enX27t3LkSNHaNy4MbVq1SI+Pp7OnTtTuXJlLl++zJ49ewgNDaVfv35Uq1YNhUKBu7s7JiYmJW3GRyOPDaUHOXmS+T9Rq9UYGBhQrVo1IiIi+PXXX1Eqlbi7u9O2bVuCgoLw8fFh0KBB2NjYoK+vz8aNG6lfvz4hISHMnDkTLy8vnJ2dS9qUP4yenh7Ozs4YGBiQkJBAZmYm5ubmJCcnk5iYiK6uLh4eHqjVakJDQxk9ejRFRUVs2rSJZs2aoa+vr3WrbRo0112pUiUSExPZtGmTVIPdtWtX/Pz86NWrF99++y137tyhatWqbN++nadPnxIREUFYWBiFhYXUqFFDq/Yw/DtK8yRBcy+UZpFHOR5kH4AcC78lKyuLgoICpkyZgkKhYOPGjbi5uVGmTBlevXrFiRMn2L9/Pzk5OXTs2JFffvmF2rVrY2lpqVXddv8vSvPYUJrQzieWzF+GKLY5taCgQBrUDh48SGxsLIsWLSIkJIT09HT09fUpKCigc+fOtG/fniFDhnDjxg10dXXx9PRk5cqVuLq6MmvWLAoKCrRm4+v/xaZNm9i5cyfNmjWjoKCAlJQU0tLScHd358svvyQrK4tGjRoxbNgwvv/+e0JDQzE1NWXWrFmA9q22AeTn50vX/fjxY1avXs2AAQOYN28eb968AaBs2bIMGTKE169fs3LlStLS0khJSaF58+b89NNPODg4sGHDBu7fv/9J3AdZWVm0atWKhQsXoqurS0ZGBleuXEGlUuHn58fGjRsJDQ3l+fPnDB8+nJ07d/Lw4UN0dHSk7mHahGYDc/EJTsuWLYmIiEBHR4eEhARu375NSEgInTt3pmfPnly+fJkvvvhC0rRxdHTEwcGB3NxcSe/G1NS0xGz6WOR4KN0+kGPh32NpaUloaCjwbqwzMTFhyJAhTJ06lczMTNzd3UlJSeG7777j66+/xsfHh3HjxkkljJ8CpW1sKK3Ia4Iy73Hp0iVq1KjBihUrKFeuHMHBwbx69Qo3NzeOHDmCtbU1ycnJrF69mnv37pGWlkadOnW4ePEia9eu5YcffuDgwYOEhIQwevRounbtSkFBgVYrYRdfLWrTpg07duwgISGB4OBgIiMjcXV1xdnZmYcPH1JYWEh0dDSpqak0adKEwsJCHj9+jJubW8ka8YE8fvwYZ2dnjh8/zr179wgJCSEjIwOAjRs34uXlRU5ODpGRkRgZGfHgwQMsLCwwMDCgTZs29OzZE0NDQ8aNG0fr1q3ZtGmT1q66/R7/bpLg6+uLu7s77u7uREdHs2LFCpycnEhOTmbcuHFs3bpVq0oxxP+KPPbo0YMePXrQvn174J3IY2BgIHp6eiQlJfHgwQP279/PlStX6NatG927d8fAwICoqCj09PSYPHny755bW+4HOR5kH8ix8J+jsaewsBBnZ2cUCgUzZswA3rVi18wHpk+fLulAfiqUlrGhtCOX7ckA/3zYDRgwQBKzjYyMZNWqVVhZWdGoUSOMjY2Bd/ocR44cIScnhzp16hAQEEBiYiKBgYEYGRmxd+9eZs2aRYsWLYB32h/aOjAU1596/fo1ZcqU4bPPPiMsLAxPT0/c3Ny4cuUKenp6mJubY2hoyO3bt3Fzc6NHjx4sWbIEpVLJggULStiS/wzNfbBu3TqGDh2Kubk5z58/Z/ny5Tx48IBWrVpJNfkvX75k9+7dpKen4+zszJdffklycjKGhoY0btyYpUuX0rVrV0aPHg2gdW2H/xM0/tqxYwd6enqYmJjw448/EhgYiI6ODpUqVcLY2JjGjRtTrVo17OzsSvqSP4jSLvIox4PsAw2lPRY+BE3itG3bNiZMmMC1a9eIjY0lKCgIb29vjI2NpdUmGxubkr7cv4RPfWwo7WjHU0vmL0NTLqFQKHj69Cmurq7k5+ejo6PD69ev0dfXp2LFigBSx7jMzEyqVasmla41bNiQjh07cvv2baZPn87q1asJCAh479zaSHGV+PHjx3P+/HlUKhWVK1dm4sSJ/PTTT5iYmODr68vTp0+Jjo7G3t6eDh06SInjiBEjmD9/fkma8UEoFAoKCgrIz8+nbNmyZGVlUVRUREFBAZUrV35vBTE7Oxt7e3vatm2Lvr4+np6edO3aFRsbGwYOHEi3bt2kDdNCCK3pnvUhaCYJ+fn5TJ06FSMjIyZNmgRAly5dsLGxkTpoeXh4lOSlfjBCFnmU4wHZByDHwsdQUFCAv78/Dg4OzJ49m+vXr/PTTz9Jf//UV1k+5bFBRk6eSj2axCYtLY34+HjGjh1LSEgIixcvpl27dnTr1o2pU6fy5s0b6VhNYwQ/Pz+ePHnCjh07qF+/Pg0bNiQ4OBgzMzNUKpXWJk3wrp2opl75888/586dOzRu3BhdXV2EEAQFBdG9e3eWL19O1apVefToEffu3aNatWrUrl1batGuLWgS3czMTOLi4qhTpw6LFi3ixIkT5OTksHbtWhYvXszNmzff+065cuXw8/PD2NiYFStW4OjoyBdffEGDBg3w9PSUjtXme+H/41OcJJR2kUc5HmQfaCjtsfCxmJiYMHjwYFxdXbGysmLGjBksX778vfvlU+dTHBtk/pc/XzpKRlvIyMgQeXl5Ys6cOaJz587i5cuXYvfu3aJLly5iy5Yton79+qJTp07i7t274saNG+LIkSNCCCEuXbokcnNzhRDvxP3GjRsnIiMjRVFRkVaL/CUkJEhifUIIcf36dVG/fn0xYcIE6TOVSvWeuO306dOFl5eXGD58uMjPz5eO0SaKiorEy5cvxZEjR0RQUJCIjY0Vt27dEu3atRO7du0SjRs3Fl26dBF79uwRr1+/Ftu3bxdFRUXiwYMH4v79+0IIIS5fviy+++47sXTpUiHE++LIpYHs7GxRWFgohBAiMTFR+Pr6ihs3bpTwVX04ssijHA9CyD4QQo6FPxPNmPjw4cMSvpK/n09lbJB5H3nlqZSSk5PD1q1bmThxIg8fPqR8+fKMHDmSvLw8Vq9ejb29Pfr6+rx584a7d+8yefJkfHx8uHLlCo6OjtL+p1q1alGtWjWuXLmCEAJbW9sStuzjKCoq4v79+0RHRwOwe/du2rdvz/Pnz6VaZE33Qc1bSIBp06ZRu3ZtfH190dfXf2+PlDagVqs5cOAAP/zwA1u2bCEoKIjZs2cTFRXF7NmzqVevHsbGxjx69AhDQ0P69++PhYUFGRkZ5OTkUL58eQA8PT2pV6+e1H1Q21be/ihmZmYolUrUajXVqlVj7969VKlSpaQv64Mp7SKPcjzIPtBQ2mPhz0QzJmp7K/aP4VMZG2R+Q0lnbzIlx/bt28WwYcOk3ydNmiSuXbsmzp07JxYtWiSEEKJz584iMDBQFBUViUOHDomgoCBx9+7d986TkZHxt173X0ViYqIICgoSgwYNEtWqVRMXLlwQKSkpomrVqiIqKkoIId5bddK8TcrPz9fqFbfz58+LgQMHigcPHgghhJg9e7Y4dOiQePLkiZgxY4YQQogFCxYIHx8fcfLkSfH8+XMRHBws9uzZ89558vLyRE5Ozt99+TJ/AefPnxf+/v7Cw8ND9OnTR+Tm5orBgweLzz//XMycOVOkp6eLdu3aiW+//Va0bdtWLF26VKxbt04IIURUVJRIS0srWQP+AHI8yD4oTmmOBRkZmd9H7rZXCtHUcHt5ebF27VpJ2ToyMpKIiAjS09OpUKECu3fvxs7ODqVSSUREBI8ePWL58uU4OzuTkpLCy5cvsbCwwMjIqKRN+lOwt7fnxo0bnD9/nt27d1OlShXMzMzIz8/n8OHDNGnS5D1bdXR0EEKgVCoxMTHRWpE/JycnLl68yPHjx2nRogUPHz5kxYoV3L9/H2tra+7fv098fDyNGjViy5YtHD58mOnTp9OkSRMArl27hrW1Nfr6+lrdkl7mHaKUizzK8SD7QENpjwUZGZnfR3vqi2Q+GvEbAUIdHR0KCgqAd13kdu3axZ07d6hVqxafffYZzZs3JycnBxcXF6ZNm4alpSVXr16lQYMG2NjYcOzYMZo0aUJycnJJmPOH0XQ6Ki5Ip/GRs7MztWrVwsXFRTouICAAtVotbQ4uTvFkSRvK9TR2av7V3AdjxozhxYsX7Nixg4CAACpUqECbNm2wtrYmPT2dtWvXUq5cOTIyMjAyMqJmzZqkpqYSEBBAZGSk1nTNkvn/KU0ij3I8yD74vyhNsSAjI/Of898/25P5QxRfDdm8eTMREREA0ttAR0dHDAwM+Oabb6hbty7ffPMNd+/excDAAAsLC7755htq1KjBmTNnCAoKYsuWLUyfPp0ff/yRevXqlZhdH4Mm2dPT0yM2NpYJEyZIEwWNj2rUqMGdO3d4/fq1lAwFBASQkpLCpUuXSubC/wREsbbxMTExLFy4EOC9fVqVKlViyZIlPH/+nBUrVpCdnU1BQQG2trZs3ryZS5cuER8fz/jx47l+/TpdunShc+fOjBw5siRNk/mT+Xcij1OnTiUzMxN3d3dSUlL47rvv+Prrr/Hx8WHcuHGSbos2IMeD7IP/hNIQCzIyMh+OXLb3CVNcgHDcuHEcO3aMFy9eYGBgIGk3lSlThtu3bxMdHc2tW7fw9PQkJiaG/fv3c/bsWT7//HNq1qxJTEwMsbGxHD9+nKVLl1KzZs2SNO2DuXfvHqtWrUKpVJKYmMgPP/xAhw4d8Pb2/pfj4uPj6d27Nzo6OqhUKoQQ/PLLL9LbV6FlavDF74P169czf/58CgsLefz4MbVr10ZHRwelUklhYSGHDh3i6tWr2Nvbk5+fz5o1a4iJicHR0ZEePXoQGxvLvXv3WLFiBYMHD6ZPnz4la5zMX4bmPv/URB7leJB98KF8qrEgIyPzccjJ0yeKRuA1KyuLAQMGYGpqyqpVq3B1dWX58uV4eXlJnfEKCwupUKECSqWSc+fO8d1331G9enXOnz+Pvr4+Z86cwdraGhcXF8aOHauViuAmJibk5OSwevVqTp48ya5du6hSpcp7QrgKhYLU1FQyMjKoXbs2enp66OrqoqOjQ0REBE2aNMHFxUWrEqfi9n333XecPXuW8PBw2rdvz5YtW3j79i1eXl7Au7JDAwMDfH192bZtGyNGjODzzz8nPT2dR48e8fTpU7KysnB1daVnz57Url27JE2T+YvRiDxu27aNCRMmcO3aNWJjYwkKCsLb2xtjY2PpDbu2PBPkeJB98DF8irEgIyPz8cgKXZ8ourq6XL9+nYkTJ9KwYUNGjRoFwNmzZ8nIyHgvAahduzbm5uZ4eHgwadIk5s2bx9ixY6lRowbt27d/T9hQm1CpVFy6dImaNWtiYGDAkSNHeP36NfXr12fLli3cunWLefPmoVAoKCoqQqlU4u3tTZ06dYB/lrUcPXqUrKwsypUrV5LmfBS6uroUFBQwfPhwhBBs3rwZfX19Tp8+ze3bt/n888+lY93c3KhTpw6fffYZubm5jBo1iqVLl9KsWTPu3LnDgAEDStASmZLgtyKP/fr146effpLuBW0TeZTjQfbBx/KpxYKMjMzHI688fWKo1Wri4uKws7OjR48eBAQEMGHCBACWLVvGiRMn2LhxIy4uLjx79oyePXtKyu8GBgZUr16drVu3YmhoiI2NDQYGBjg5OQHaowivYd++fURGRiKEYPz48Xh7ezNq1Cj27t3LiRMn8Pb2Jjg4mOvXrzN9+nRq166NhYUFwHuleQUFBdjb2xMQECDpPGkDFy5coEyZMsydO5crV66wbds2dHV1OXbsGPPmzWP69Ok0a9YMgEGDBlFYWEhwcDC6urr4+vpy8eJF4uLiqF+/Pk+fPqV69epaY7vMn4O+vj7Vq1fHxsYGExMTPD09mTx5Mo0aNdK6N+xyPMg++CN8SrEgIyPzx5B3NH5iFBYWsmzZMi5evMiUKVO4du0aN2/eZOjQoezbtw89PT0sLS1JSkqib9++1K1bFzc3N+n7ZcuWZcyYMSxdupTNmzdjZ2eHQqHQqgFS0+WoXbt26OnpMWXKFGrWrMnIkSOZP38+3t7eDBo0iIEDB3L06FGGDh3KjRs3JOFDeD9R9PT0pHPnzujp6WmVH6Kioli2bBnDhg1DX1+fU6dOER4ezoIFC8jOzsbPzw+A7t27A+/8pUFfX59Ro0bx5MkTQkNDcXBw0CrbZf48PhWRRzkeZB/8UT6VWJCR/bc5gQAAIABJREFUkfljyCtPnxAazSFLS0uOHDlCSEgIz549Y/To0QQGBrJq1SoSEhJYs2YNO3bsYOzYsfTq1QuAtLQ09PT0UCqV2NvbU7lyZTp27KiVpWqaAT0yMpJNmzZRvXp1zM3NWbJkCZ06daJXr178+uuvHD58mIMHDxIeHs6DBw/w8PCQVtl+i56e3t9pwh9Cs2rm7e3Nrl27CAoKomrVqoSGhqJSqdiwYQMODg6MGTOGPXv2UKVKFcLCwgBISUlBCIGBgQGGhoZUr16dOnXq0KBBgxK2Sqak0cSVZnVW2yjN8SA/E/5ctD0WZGRk/hhyka6WU7xrkuaB7uLigq6uLvfu3WPYsGEEBgZK3fEcHBzYu3cvhoaGJCYmsn79el6/fo2uri7lypUjLCwMPT09reum91tWrlzJpk2b+OWXX4iOjiY8PBxXV1fMzc3p0KEDDx48oEaNGuzfvx+lUsmLFy+wtLQs6cv+U9DcB0qlEldXV+Li4mjRogWbN2/G19cXeDfoP3/+nDdv3lC+fHkGDx5MZmYmGRkZmJiYEB4ejpOTE+XKldPKBFqmdFP8uQhIexpLazzIzwQZGRmZPw85edJihBDo6Ohw8+ZN0tPTqV+/PgAVK1YkIyODqVOnEhYWJiVCw4YN49mzZzg5OZGfn09hYSGLFi3i5s2bODs7o6Ojo1UrLMC/bRvu5eXFrl27ePr0Kbt27WLChAm4u7tz5coVMjMzKSoq4uXLl9Im3ypVqvD27Vuta0P+f2FqaoqDgwPff/89tra20n2wYsUK9uzZg6urK6mpqbx8+ZIZM2aQmppKmTJlyM/P/7crcDIy/+1oEichBKdOnaJRo0YolUpMTU1xdHQs1fEg+0BGRkbmjyOX7Wkhmgm+QqEgMjKSAQMG4OPjg4+PjySKa25uzpo1azAxMcHOzo7+/ftTpkwZ1q5dS0ZGBnXr1mXfvn0EBgZSp04drKyssLS0fE9U97+d4m+XY2Njyc/Px8rKCoBy5cphamqKQqGgQ4cOeHh48OLFC2bNmkW1atXw8/PD0NCQn376ia+++oq6detqbQ2/RtDy9/7vKlasyKZNm3j58iXu7u4sX76cY8eOsXPnTmxsbKhQoQJ37twBoHXr1tjY2ODg4FASZsjI/GE0z4SUlBT69evHzp07MTc3l1pvu7u7s3nz5lIVD5rng6aVtpubG1u2bClVPpCRkZH5M5EbRmgZxSfIy5YtY9q0aSxZsoRu3boBSMmEhYUFDg4OXLlyhbi4OPr168fixYsBuHTpEoGBgQwZMoTQ0FCePHkinV9bVNGLJ06zZ89m4MCBHDx4kKdPn0rHCCGws7PD2NiYQ4cOMWjQIP7xj3/Qt29fcnNzCQ8PR6FQMHLkSGnFTdOeXJvQ3A+FhYWkpqZy9uxZTp48SU5ODkqlEnd3d549e8bRo0epVq0aBw4cwNTUlAsXLmBubs4PP/zAxo0b2bFjRwlbIiPzcWjiVkdHh3PnzhESEkKvXr1YvHjxe883XV1dypcvXyriQQhBUVGRpOn06NEj4N3+zdLiAxkZGZm/ArlsT4v4rbjhiRMn2L59O+XKlSM9PZ1r167RqFEj4N3epv79+6Ovr8/Bgwdp3749ubm5qFQqVCoVlpaWtG/fnvT0dFQqVQla9eFoEqfCwkLGjRuHUqlk3rx5bNiwAXNzc9q0aYOVlZWUVBw5coRp06axfPlyatWqxfr166UOg5s3b6ZOnTpcvHiRGjVqaM3K06tXr+jSpQuurq5kZGSgq6uLsbExDx48wN3dHTMzM2rXro2hoSEdO3bEwMCAQ4cOoVAoePXqFVZWVqSnpxMYGIi7uzuTJ0/WuvtARgbeL93dsWMHq1evZubMmTg6OjJ27FgaNGjAq1evePv2Lfb29nTo0AFDQ8NPNh7S0tKwt7dHrVZLZcl9+/YlLS2NvXv3YmBgID8TZGRkZP4AcvKkJajVanR1dcnPz2fAgAGcP3+eyZMnU65cOWJjY/n+++9RKpUIIWjcuDEWFha0adMGY2NjTExM2LVrF1ZWVhQVFZGdnY2+vj5CCAYOHFjSpn0QmsTp6dOnTJgwAQ8PD7p160ZUVBRGRkacPn0aa2trGjVqhJmZGQDNmjWjZs2a2NjY8ObNGw4ePEj37t3JyMigc+fO1K1blxo1apSwZR/G5cuXMTQ05Ouvv0apVLJ27VrKly+Pj48Pbm5uNGnSBCMjIwCCg4MlXZLvv/8eKysrgoKCuHHjBv369QOQtF1kZLQNTeI0f/58EhISWLt2LS9fviQ0NBQfHx/atGnDxYsXefToEX369KFZs2afbDycPn2avXv30rVrV2rWrMmrV6/o0aMHdnZ2HDp0SDquWbNmGBsbf5I+kJGRkfmrkfc8aQGahOH+/ft069aNatWqMXLkSBYvXoxarWbdunVMnjwZMzMzDhw4gIeHh6TPpKOjQ8WKFXn58iUnT57Ezs4Of39/fHx8tGaVpTgKhYKEhATGjh1L69atCQ4OZuvWrejo6PDll19y9+5dYmNjpY5QT58+xdzcHGNjY+DdW9kbN24wdOhQjI2N0dPTY+LEiSVs1Ydz+vRp1Go1vXv35uDBg0RHR1O1alVcXV1ZsWIFRkZGuLm5YWBgICXKFhYW2NnZsXv3bkxNTXF3d6dFixYlbYqMzEdRfMXpp59+YuPGjURGRnLixAm+//57cnJy0NHRwdfXl/Xr11O2bFn8/PzQ19dHrVZjaWn5ycVDVlYWt2/fJiMjg5ycHEJCQggICJBKtt+8eYOenh56enryM0FGRkbmI5GTJy1AoVBw6tQphgwZQqdOnRg3bhwuLi7s27ePrKwsFixYwOPHj9m0aRM1atTg6NGjNGzYECMjI2mzsK+vL+fOnePBgwf07NkTfX39kjbro9m1axeXL1+mU6dOUtmih4cHDx8+xMLCgrdv3+Lh4UF0dDTr168nMDAQIyMjFAoFkydPRk9Pj+DgYBQKBT4+PiVtzkeRlJTEgwcPiIyMJD4+nrZt21KrVi0UCgXx8fEcPXoUf39/XFxcgH9ONJ2dnVGr1ezcuZM+ffpIDTZkZLQNhUJBXl4eaWlpGBoaUlRUxOHDhzl16hSOjo707NkTV1dXMjMzOXLkCE2aNMHKygoTExMp6XJ2dkalUn0S8aBSqXB0dKRs2bLs3r2bNWvW0LFjR7755hvpmOLdVIv7QH4myMjIyPznKIQ27pAvZaSmptKsWTOGDBnCwIEDUalUTJgwAbVaTVhYGMuWLePixYssWrSII0eOsH//ftatW/cvzR9UKhVJSUmSroc2olmFmzhxIjExMQwZMgRLS0sePHhAQUEBZcuWlRIIHR0d2rVr955mVVxcHDVq1NDq5BHelSilpaXx9u1b6tati4eHB4mJiRw/fhxXV1dsbW1p2bIlV69epVatWjg7O0taN/CuO2FAQEAJWyEj88eYPXs2arWakJAQVCoVJ0+exM/Pj7CwMAwMDMjOzqZ169acPXsWMzMzEhMTCQgIQF9fn+HDh0vJhLbHQ/H9sOHh4Sxbtgy1Wk2lSpXQ09OjRo0a6OnpSaXLhYWFFBUVMXbsWOkc2u4DGRkZmb8LeeVJCzA1NUUIwb59+2jRogUxMTHs3LmTOXPmMG/ePHJzc6Uk6uTJk1SuXJlDhw6xceNGfv31V+rVq4e+vj46Ojpa13K2eGnO06dPWbJkCRYWFnTt2pUTJ07w7NkzjI2NUavV2Nvbo1KpOHXqFPr6+nTs2JFnz55x5coVTp06Rc2aNSUBYW3VcxJC8PLlS8LCwihXrhz16tWjfPnynDp1iujoaNzd3WnZsiXu7u6EhYVx4cIFnjx5gr+/P4aGhhQWFqKrqyutSMnIaAu/F7Pu7u5ER0eTl5fHkSNHsLOzo3Hjxly8eJG6desSFRUlNYuoX78+vXv3Jjs7m4cPH1KtWjVpFUpb4uG3PlCpVO81hhgxYgQnT55k9erVXL16FWtraypWrEhAQADJyck8f/6clJQUsrKysLOzo3bt2tI5tcUHMjIyMiWN3DDiv5DibxE1DB48mKdPnzJixAg2bdrEmTNnCAkJoVmzZowcOZIxY8Zw5swZJkyYQPv27Tl27BgZGRkYGRm9V6aibahUKmliYGVlhVqtliZJixYtokuXLgghaN26NRkZGZw7dw4XFxeaN2/OypUryc/PJy8vjwYNGvD8+XPs7e0BtMIfBQUFKJVKSaNFqVSiUCjIyMigUqVKqFQqoqOjcXFx4fz58/j6+tK8eXNevHjBkiVL6Ny5M46OjixatIilS5cybtw4rRNBlpGB96UJYmJiCAwMRAiBk5MTnTt3ZvDgwVhbWzN69Gji4uK4d+8egwcP5sGDB3h7e7N582bmzp3LzJkz6dWrFwUFBVq3+lzcBwcPHqRly5bSOJGXl0fPnj0xNDQkMjISpVJJQUEBzs7OGBgYYGFhweTJk3/3vNrwLJSRkZH5b0Iu2/svo3jilJycjLOzs/S3t2/fMmDAAMqXL8+3337LoEGD8PHx4cKFC3h7e1OtWjWioqIIDg4mKCiopEz403j27Bm9evVi27ZtUh1+WloaS5cuxdrampCQEJ48eUJcXBy5ubkkJiaiq6uLtbU1U6dOJS8vT+owqEnAtAEhBIWFhezbt4+goCAyMjLYsGED48ePx9TUlG+//RZLS0s6dOhA8+bNsbe35+uvv6ZatWpcuXKFHTt2MG7cOMqXL8/w4cNxdHTE2dmZr7/+mjJlypS0eTIyH0TxZ2JoaCgACxcuxNDQkIKCAiZPnkxaWhpWVlb07NkTMzMzhBBcuHCBhIQEvL29MTExwc/Pj169erFz585/2Qv4307xxGnixIk8ePCAdevWYWhoiEKhYMGCBTx9+pSwsDDpOxMnTiQoKIgLFy6QnZ1N27Zt8ff3B37/BZ2MjIyMzH+GdiiilhKKD2iTJk2iRYsWXLhwQfq7oaEhc+fOJSEhgZ9//pnp06fz8OFDHBwcaN68OUFBQfj7+3P06NH3hCG1FUdHR8qVK0efPn2kz+zt7enSpQspKSns2bOHqlWrYmZmxtWrV/nqq6/o3bs3arWa1atXSwmXtgj/alCpVOjr66NUKmnVqhVjx46lWbNmmJqaAu/ujeHDh+Ps7Mzy5ctJSUnB1taWs2fPEhUVxaJFi9DR0WHgwIEMGDCAhQsXMnr0aDlxktE6NM/ErKwsOnTogEKhYNmyZdIqrFKpZOzYsWzatIl69eqxdetWioqKqFKlCrm5uTRs2JC7d++iUCikLqRJSUnS+bUpcdJ0z3vx4gVz585FX19fuv5Ro0ZJiVNRURFFRUUkJSVhZWVFx44d0dPTIyoqinv37gHIiZOMjIzMH0C7ZpWfMJpJQlFRESEhIWRmZtKvXz9mz579XiLk4ODAlClT2Lx5Mw8fPmTevHm0bduWlStXolAoSE5O5vz58xQWFpagNX8e4eHhKJXK9/SovLy8aNmyJUlJSQwbNoyoqCgGDBjAw4cP8fX1pWnTply/fp2IiAhAu5InjZAlQEZGBqampsyYMQMdHR02bNjAq1evpGNVKhUNGjRgyJAhzJ07lwULFtClSxdu377N3LlzmTVrFk2aNCkpU2Rk/hBCCHR1dbl586a0avLjjz8SFhbGtm3bgHexbWdnB0CnTp1wc3Njx44dTJs2jaKiIoKDg8nNzcXHx4fBgwdTsWJFWrZsWZJmfTA6OjrcunWLHj16YGlpyddff83GjRtZsmQJr1+/BpDEbIUQKJVKlEolJiYmKJVKKlSoQKtWrcjKyiIiIkL6joyMjIzMx6E9s8pPFCGEJID79OlT2rVrJ60ojBw5kipVqjBjxgyysrKk71SvXp22bduydu1acnNzSU1NJScnh7dv33LmzBkmT56Mu7t7CVr1x0hISJDeDhsZGbFs2TKuXbvGrFmzpGMaNmxIw4YNycrKIjg4GKVSyZ49ezAyMqJ27dq0b9+e5s2bl5QJH4Wm6cWVK1cIDAzk4MGD+Pv7s2rVKr777jtSU1OZPn26lBRqaNu2LXXr1qVjx46MGjWKZcuWsXPnTqpWrYparS4ha2RkPg5NJblCoeDYsWP06dOH2rVrM378eJRKJampqRw/flw6vvjq0bBhwwC4evUqnTp14sCBAzx8+BBPT08mTZrEwoUL/15jPpLi1fRRUVEMGTKEevXq0atXL+7evcvp06eJj49n9+7dUpJZvARRpVJRUFAgCYXXqlWLRo0a0aBBA2kFW0ZGRkbm45CTpxJErVZLQrYxMTF07NgRfX19xowZIx0zdOhQTp8+zaJFiygoKADA2NiYOnXqYGhoyIkTJ0hOTsbT0xNDQ0M2btxI06ZNS8qkD+a3W+6ysrI4fvw48+bNIyUlBXi32hYeHs6WLVvYvn27dGyrVq346quvaNOmDXfv3sXa2hp4152wadOmWqNXkp+fT0pKirRClp6eTq1atWjevDmPHz/m7t27jBkzhtTUVBITE6UJkab0ply5cly+fJlGjRoxZcoUXrx4Abwr39GmVTcZGc0zEWDJkiVMnTqVunXrYmFhwalTp4B3e3meP39OXFycdOyZM2fIyMiQzuHh4YGtrS1Vq1Zl7ty5wLsyYG2guA/WrFnDrFmz6NWrF0FBQURHR7N//34qV66Mr68vZcqU4fbt28D7SWR0dDRPnz7F2NhYesa2bNmSBg0a/P0GycjIyHxiyK3KS4jiG4C3bNnCnDlz6Nq1K87Ozty4cYOaNWty+fJlBg8eTKdOnTh//jyvXr2iZs2aKBQK7O3tiY6O5s6dO4wePRoHBwdsbGy0qjECvBvwnz59yokTJ6hSpQqGhoaUKVOGZ8+ecfr0aRo2bIhSqcTBwQFnZ2cmT55MnTp1cHJyAqBSpUro6uoSERFBgwYN8PT0LGGLPpxHjx7xj3/8g+fPn7Np0yYcHByYOnUq06dPx97ensaNG7N27VqsrKxo164dV65cwd3dHQsLCylBOnbsGLm5uQwePJjPP/8cMzMzOXGS0To0CcCIESM4d+4cu3fvpnnz5sTFxXHnzh1sbW1xdHTkwIEDNG/eHBsbG7p37861a9fo0KEDmZmZnDt3jpCQECwtLbG3t8fKykp6SaUNaHwwZcoUEhISCA0NpXLlyhw+fJizZ89SuXJlunTpgrW1NUlJSezfvx9fX1/Mzc2lc6SmpmJubi6JgcvIyMjI/HnIyVMJoRnQvv32W44fP054eDgtWrTgzZs33Lt3jz179rB27VrGjRtHr169qF69OvPnz8fS0pIqVaoA4Ofnx+7duwkMDKRChQolac5Ho1Kp2LFjBydPnsTAwIAKFSpgb2+PsbExiYmJJCUlUb9+fQA8PDwAmD59Ou3bt8fExITCwkJUKhWPHz/G399fWn3SJnJycjh69CgdOnTA1dWVvLw88vLy8PDwQE9Pj6NHj1KuXDlcXFyIjY3F0NCQjh07AlBYWCjtcfDy8sLFxUVamZKR0TaKiooYPnw4eXl5/PzzzxgZGaFUKjE3N+f69evcv3+fmjVr8sUXX1BUVETPnj1xc3Nj6dKl6OjoYGRkRL169bC2tkalUqGjo6OVycOCBQvYvn07x48fZ/v27WzcuJGsrCz8/f1p0aIFL1684NixY5w+fRoDAwNCQkLIzc1l8eLFVK9enQoVKlChQgW5RE9GRkbmL0BOnkqQW7duMWXKFGk1BaB8+fJs3LiR+Ph4evToQdeuXQGwtbWlUqVKzJkzB09PT5ycnDA2NqZRo0ZaJ3yrQQiBjo4Ojo6OpKenc+nSJSwtLSlbtix2dnYYGBgQExNDWloaNWrUAMDf35979+4RHh5O79690dXVRVdXlypVqkgaTtqGhYUFkZGRBAQEoFAo2LVrFxMnTkSpVLJ69Wo8PDyoXr06e/fuJSUlBX19ffbv38/Ro0c5deoUzZs3p3LlyrLIpYzWk5eXR5kyZRg+fDg7duxgzpw5BAQEUKFCBSwsLIiPjycjI4O8vDyGDh1Kq1at+OabbwAkAWhNOau2rDT9Hnp6eqSnp2NoaEj9+vVZv349tWrVomvXrty8eZOIiAiKioqwsbGhf//+GBoaEhoaiqWlJcHBwQBy4iQjIyPzFyEnTyWIjY0N9vb2rFy5kqZNm2JqasrIkSN5+fIl7dq1Iycnh/z8fKn5g5OTE4sXLyYhIYHGjRtjZmaGkZFRCVvxYRTf1Kz518zMDCsrK+7du8fVq1dxc3PD1tYWW1tbFAoFUVFRKJVKKleuDECjRo04cOAADx48oF69egBaIf76e5oyBQUF6OrqkpyczNatWzl37hxVq1alatWqrFq1iilTpgCwePFimjVrRtOmTbGzs6Nly5Z88cUX+Pn5aeVqm4zM78WDvr4+5cuXl/5+8eJF9u/fz6VLl+jWrRtmZmZs3ryZLVu2MGnSJPr27Qu8L6atTfw7nSlbW1ssLCxYvXo1/v7+NGzYkOvXr/P69Wt27txJ9erVGT9+PA8fPiQ3N5ewsDA6duzIP/7xjxKwQkZGRqZ0ISdPJYynpyfp6eksWbKEXbt2YW9vz4oVK/D19eXSpUvcu3cPd3d3Hj16RLdu3ejfvz916tShcuXKWpc4Fd/npdEc0ZQbWltbY2RkxM2bN7l//z5eXl6Ym5tjY2NDfn4+R44cwdnZGScnJ3R1dWnZsiXm5uY4OjpqRVlOcdtjY2PJz8/HyspKekseHx/PrVu3mDx5MidPnuTs2bMEBASgo6PD8ePHKVOmDNnZ2Xh7e3P//n2Kiorw9PSkXLlyJWmWjMxH8e/iQfM3hUKBnZ0drVu3Bt6tIvn7+7Np0yZiYmKoWbMm/v7+uLm5Ae9exGjDc6A4/5cPdHV1sbe3R09Pj7Vr19KxY0fq1KnD1KlTpa6ab9++Ze7cuVy8eJEJEybQtm1b6bza5gsZGRkZbUJOnv4mNPX3GjRvHBUKBX5+fty4cYPr16+zdetW4N3g6eTkRHJyMps2bWLTpk2MHDmSbt264eXlpXWJU3EB4IULF/Lzzz/TsWNHbGxsJF+ULVuW/Px8kpKSyM3NxcvLC1NTU2xsbMjIyGDbtm0EBARQpkwZDAwMcHJy0opJQvFJ0uzZs5k1axampqa4uLhIwrVmZmb4+/vz4sULUlNTefz4MWq1moKCAkaMGIGNjQ23bt2ibNmymJqa8uLFC2rXro2hoWFJmiYj88H8f/FQvN22jo4Onp6e1KxZkzFjxnD16lU2bNiASqUiLi4OPT093NzctOI5UJz/5Jmgp6dH2bJlyc7OZvv27TRv3pymTZtKEgzz588nOzsbf39/XF1dJT9omy9kZGRktA05efqLyc7OxsDAAB0dHfLz8yVNJ80Ap1ar0dPTw8/Pj/Pnz5OYmEijRo0AMDc35+eff+bJkyeEh4dLJWr/rtTjvxGVSsXZs2elN8Rz5swhISGBXbt2YWtrS1paGs+fP8fS0hJ41z3v/v37XLt2DTc3N2xsbDA3N8fU1BR9fX38/f3R19cvQYs+DM0kqbCwkDFjxpCfn09oaCgHDx5EoVDg4uKCsbEx5ubmGBgYkJqaiomJCUFBQVy7do3jx49jbW3NhQsXpK5h9vb29OjRQ97TIKN1/H/xUO5/2rvzqKqr/f/jz8Moo8gMKuDAYIY44VSmpkg4XTXFIVNvGpIuUxs1y3u1NF2athKsDCeuQ045oJnXMc0QL4riPA+piBlfQBAB4fz+cHF+mnWvU9HB1+Mf5XPO+ZzP3ovN+bzP3vv99vMzfTFUFlxcu3aNfv36YWtry8KFC6lcuTJubm6cPn2a//znP9SqVcuslq4+SB9UqlQJX19fzp49S0pKCi+++CIAQ4cOxWAwMHv2bOLi4kz17czlc0FExJwpePoDnTlzhunTp1NcXExgYCDr169n2bJl7Nmzh6pVq1KlShXTh529vT1hYWHMnTsXg8FAaGgor7/+OhcvXmT+/PlUq1bNtBzDnD4gT548SXx8PLVq1WLcuHFs3bqVoKAgkpOTSUpKYvLkyeTl5dG4cWNsbGwwGAwEBgaycOFCDAYD4eHhAHh6etKoUSNsbGzMJngsu0m6dOkSw4cPp3r16rzyyiukpaWRmZnJhQsXcHBwwMfHB3t7exwcHHB1dWX37t0UFBRQv359srOzycjI4MqVKzRv3px+/foRHBxslvs75Ml2v+PB19cXW1tbAPLy8hg0aBANGjQw1WsqLi6mSpUqODs74+DgYPpSyRw8TB+U7W09ePAgmZmZfPjhh9SqVYvx48czadIkrl+/zpQpU8zib6KISEWg4OkPZDQaSUlJ4dKlS3h7e9OgQQNKS0vZvHkz27dvZ9WqVfj7+1OpUiXs7OyoUqUKNWvWZNq0aSQkJBAYGMiXX35JpUqV7lrmYQ7KCjPa2tqyYcMG5s2bR7t27XjjjTdo3rw5K1asoFevXowaNQqDwUBISAiWlpaUlpZiZ2eHq6srn3/+OR07dsTBweGuc5vLTYLBYCA1NZW3336bzp07ExERweLFi7GwsKBr166cOnWK5ORk/P398fPz4+rVq3h6elKjRg0WLFiAq6sre/fuJT8/n5kzZ+Lj46PZJjFb9zse/Pz88PPzIzMzE1dXV5o3b06XLl2AuxNDeHl5mV1dtwftgytXruDo6EiVKlW4cOECmZmZvPTSS/Tt2xeDwYCtrS3Dhw8v72aJiDxRzOdu3MwYjUZcXV0ZPHgwxcXFLF++nMzMTKKiopg3bx7Tpk3Dw8ODiRMnkpCQYHpds2bNTBn33nzzTQCzC5zunCE7evQohw8fJjo6mmHDhlGnTh3WrVuHhYUFbdu2Zc2aNUyZMoWsrCxTwVej0Yi/vz/e3t7cunWrvJvzSJKTk7l+/Tq1a9dmwYIF+Pr6EhoayvHjxwkJCcHb25uSkhISExN57733uHLlCt7e3owfPx5fX1+efvppJk6cSOXKlc02FbtImfsdDwsC+0P8AAAa/ElEQVQWLOC9997j2rVrpqQoZUuezd2D/E0YO3YsmZmZ2NnZ8dxzz5GUlHTXftemTZuWY0tERJ5Mmnn6gxgMBm7evImHhweurq6kpKSQmZmJv78/Li4uODo6EhkZSVhYGG3btr1rH09QUBA1atQwLc8yl5mWMmXXO2vWLBISErC3t2fIkCF4enoyePBgAD7//HM++eQT9uzZw5IlS3B1dTUFiAaDATc3N3bs2EFgYCA+Pj7l1pZHUVpaSrNmzTh+/Djz58+nS5cu+Pj4cPbsWW7cuIG3tzcBAQF8//33ZGVl8fLLLxMUFITRaKRy5cpcuXKF9PR0oqKilBhCzN7DjIfatWvfdQ5z+1v4a4/yN8HDw4P8/HwuXrxoWs4sIiJ/PoOxbH2VPFa5ubksXryY8PBwGjVqxPr169m4cSP16tWjd+/eFXb5Vdl+pKlTp5KSksKyZcuYO3cuRUVFbN++nTZt2hAbG8uYMWO4efMmI0eOJCEhgeLiYoqKivDz8+OFF16gTp065OXlmVU/3bkX69KlS8ydO5cuXboQGhrKgAEDcHJyomHDhpSUlODu7k5paSk7d+7EwcGBnj17cvnyZW7evMm1a9cYMmQIpaWlFBQUmFUfiJR53OPBHAOnx9UHP//8M7GxsRQUFGBhYaEvU0REypF2nT+k/5W0wNnZmRMnTrBz504WLVpEx44dyc7OJiUlBWdnZ3r27InBYDCb5Af/zY0bN7C3t79reWGHDh0YOXIkFhYWpKamUqlSJQYNGkTjxo15+eWXuXbtGm+99ZapvlNZPaf8/HxT7SdzCxru3I/h6upKaWkp3333HZ6ennz66af06tULo9FI586dycrKYs+ePVSvXp3IyEi+/PJLCgsLuXHjBs899xxXr17Fy8vL7PpApMwfMR7MzePqg5YtW5ptH4iIVDSaeXoIvy5u6OHhcdfykrLHz58/zzvvvMN7771HWFgYRqOR+Ph4zp49S7t27YiKiiqvJjwWRqORoqIi+vTpQ79+/ejevTsA8+fPp0WLFgQFBXHw4EHeeustkpKSSE9PZ+zYsbz00kvY2tqSlpZGVFQUrVq1+s1zm1NQmZGRQf/+/Vm6dKmp0GVmZibx8fG4ubkxaNAgfvrpJ3bv3k1+fj4HDhzA0tISNzc3PvjgA27cuIGrqyu3bt1SJj0xexoP6gMRkYrKfLIQ/EX8urjhkCFDWL9+PZcuXTI9p+xxOzs7bt26RU5ODnB7vX6/fv3w9PRky5YtXL58+c9vwGNUlu1pyJAhfPXVV6SmpvLxxx+TmJjIsGHDyMvLw9bWloYNG5KYmMi4ceOYMGEC/fr1o1OnTnh5ebFp0yYOHDjwm+c2Jz4+Pvj5+TFw4EDTMS8vL3r16sXly5dZtWoVderUwcnJiUOHDtG7d28GDBhAaWkpCQkJppsrc0oMIvJ7NB7UByIiFZUSRjyAByluCODg4EBaWhoXL16kdevWpjTcBw8eZMWKFURHR+Pi4lKOLXp4ZROWpaWlBAYGkpWVxaRJk/Dy8mLRokUUFBQwZ84cOnbsSKVKlcjIyGD06NFkZ2czceJEunfvTkBAAD/++COFhYWEhoaafSat9u3bs3r1arZu3Urnzp2B2/WpbGxs+OGHH0hKSuLkyZPExMRw7NgxIiIisLa2ZseOHeTm5hIaGmp2QaPI79F4UB+IiFRE+krrPt1Z3PCVV17Bzc2N1157jfPnz2NnZ8fOnTvZtWsX169fB26vdYfbQYabmxtwezbliy++4LPPPuPTTz/F39+/3NrzKMpSkZelDk5PTyctLY3atWuTl5cHgIeHB6mpqcycOZPIyEhGjBhB1apVOXDgADdu3ABuJ9VYs2YNVlZWWFtbl2eTHlpqaioHDx4Ebs80zpo1i8OHD/Pxxx+bntOqVStatWpFdnY2ERERWFlZsWrVKuzs7GjatCndu3cnMjKyvJog8thoPKgPREQqOs083aeHKfDo5OREo0aN8PX1xc3NDYPBgJeXFwMHDiQ0NNQUhJiL0tJS4uPjWbFiBe3bt8fCwoIjR44wduxYunTpwvjx49m2bRtxcXGcOXOGuLg4kpKSuHTpkqkeyfbt27G3t6dNmzZs3LiR559/nn79+pVzy+7Pr/dhZWdns3z5clavXk3Tpk1xcnLC0dGRhg0bMn78eNzd3albty5wO/28ra0tHTp0YPfu3Vy4cIFu3bphY2NDzZo175qxFDEHGg/qAxGRJ5GCpwewcuVK9u/fT8+ePVm2bBl+fn4EBwdz7tw5XFxcuHnzJsHBwezYsYN58+bRrFkzPDw8TDNPpaWluLi44OTkZHaFb8tYWlqyb98+/u///o+MjAwyMjLIz8/HwcGBxo0bs379ek6cOEFkZCSdOnXCycmJadOmUatWLWrWrMknn3xCcHAwzZs3Jzg4mPr165d3k+6bwWDg0qVLbNu2jZCQECpVqoSzszMZGRns3LmTVq1aYWVlhbe3N9WqVWPs2LE0a9YMX19fAAIDA7G0tGTJkiU899xzPPXUU+XcIpGHp/GgPhAReRIpeLpPD1vc8M7X3xksmdOMUxmDwYCvry8eHh6MGzeO1atXc+PGDaZNm8bChQuJi4ujbt26TJ8+nbi4OI4dO8batWvp2bMnBQUF1K9fH3d3d9q1a4eDg4PZZZAqKSlh+fLlbN++HVtbW2rVqoWXlxf29vYcOHCAgwcP0rJlSwCCg4MBGD9+PN27d8fBwYHi4mJKSkq4cOECTZo0MQXVIuZI40F9ICLyJFLw9Dt+Xdzws88+w8XFhT59+rBt2zYyMjJMtY28vLwoKSnh+++/x8bGhh49epCRkUF6ejo7duygUaNGZjnL9FuMRiOxsbGEhYWxevVqvvvuO9q0aUN4eDgpKSlER0cTFBTE/v37WbVqFbGxsbzyyivUq1cPg8FAzZo1cXBwKO9mPDCj0YiFhQU+Pj78/PPPpKWlUaVKFapWrYqnpye2trb8+OOPZGZm0rBhQwCaNGnC6dOniYuLY8CAAVhaWmJpaUlISIjqtYhZ03hQH4iIPKkUPP2OkpISU8BjbW3NDz/8wLlz56hduzYdO3Y0FTAMDw/n+vXrJCcnU716dbp27cpXX33F4cOHSU9Px9/fHz8/vwpT7DQ7O5uioiLef/99DAYDiYmJBAQE4OzsTE5ODtu2bSMpKYnr16/To0cP1q5dS9OmTalSpYrZ7fG6M4Au+9fJyQlXV1dOnz7NoUOHCAgIwMPDAw8PDwwGA5s3b8bKyso069i6dWvWrVvH2bNnefbZZwHMNjmGPNk0HtQHIiKi4Ok3ZWRk0KNHDzp16oSdnR3W1tbUqVOHXbt2cfbsWcLDw3nmmWcwGo1cvXqVlJQU07eQ3bt3p2XLlvTq1Yu//e1vNGnSpMIETnA7e1Tjxo2B2zcP69evJyEhgaNHj2JnZ4e3tzeHDh1i+vTptG7dmiNHjrBkyRK6detmVqnI71xmuXnzZk6fPk2tWrUAcHNzw87OjmPHjnHmzBnq1q1L5cqVcXd3p7CwkO+++45q1arh6+uLpaUlHTp0oHLlyvj4+JhV8ChSRuNBfSAiIrcpePoNTk5OfP/99yxevJg+ffoA4OjoiKenJz/88ANZWVm0bduW06dPs3v3bnr16kV4eDjHjh3j1KlTtGrVynSuivrBWPYN7PLly7G2tsbBwYGZM2fSokULLCwsCAwMNGXVq1evHp6enuV9yfetpKTEFOjNmDGDr7/+mh49euDu7m5qd9WqVSksLOTgwYPk5+dTt25dHB0dcXd3Jysri6VLl9K8eXOcnZ2xtbXF19e3wv4uSMWm8aA+EBGR/0/B0+9QccP/zmAwUFxczNKlSxk9ejSHDx8mOTmZtm3b8vTTT2Nvb8+tW7ewsLDA3d29vC/3vpSUlLBr1y4CAgIAmDJlCqmpqaxcuRIPDw8yMzO5evUqVapUAW5nyjpz5gyHDx8mICAAd3d3KleujKOjIzY2NjRp0gQbG5tybJHIw9N4UB+IiMi9FDzdITU1lV9++QUvLy+sra1p1aoV8fHxZGZmmjImBQQEUFRUxN69e+nQoQMeHh7Ex8czYMAAPD09cXJyomXLlk9EjY6bN29y6dIlmjRpQufOnUlISCA3N5dGjRoBmF2SjJMnTxIfH0+tWrUYN24cW7duJSgoiOTkZJKSkpg8eTJ5eXk0btwYGxsbDAYDgYGBLFy4EIPBQHh4OHA7yG7UqBE2Njb31IERMRcaD+oDERG5l3nd3T5GRqPxrp+zs7PZsmULU6dO5fLlywB4e3sTFxfHokWLWLZsmem5HTt2pHfv3nTp0oVTp06Z0ss6OjrSrl07XF1d/7yGlCMHBweGDh2Kv78/rq6uTJgwgc8//5xjx46V96U9EKPRiNFoxNfXF6PRSExMDKGhoSxYsIDXX3+dkydP0qFDB9atW0fTpk2xs7PDYDCY6nYNGTKEpUuX8vPPP99zbt0kibnReFAfiIjI73tig6ey4oZr1qwBwMXFhaioKGrUqMGMGTMoLCwEoH79+kyaNIl//OMfpKamml7foUMHrK2t2b9/v2lZ35PIyckJKysrSktLqVevHqtXryYkJKS8L+u+lWUANBgMHD16lMOHDxMdHc2wYcOoU6cO69atw8LCgrZt27JmzRqmTJlCVlaWaUmi0WjE398fb29vbt26Vd7NEXkkGg/qAxER+e/Mq0rpY1RSUsKGDRvYs2cPdnZ2tG/fnnr16lFQUMCSJUuYPn06Y8aMAaBLly5cuHCBV199lY0bN+Lp6UlxcTFGo5GAgADCwsLKuTXlr2yJnr+/fzlfyYMpu+5Zs2bx7bffmor4AgwePBgPDw8WL17MtGnTOHDgABs2bLgre2LZMh1PT0+uXLmCj49PubRD5HHQeFAfiIjIf2cw/nr92hOgbM15RkYGy5Yt46effjJlzCsqKmLHjh0sX76c8PBwBg8ebHrd22+/zb59+9iyZYvpWEFBwROxv6kiKvs9mDp1KikpKSxbtoy5c+dSVFTE9u3badOmDbGxsYwZM4abN28ycuRIEhISKC4upqioCD8/P1544QXq1KlDXl5ehUpJL08ejQf1gYiI/G9PzLK9O2PEsjXnPj4+REVF4eLiwurVqzl9+jQ2NjY0bdqUyMhIdu3axbp160yvmzhxIpUrV2by5MmmYwqczMuNGzcA7irY26FDB5YsWYKFhQWpqamcOHGCQYMGER0dzcsvv8z+/fvp1KmTqZaLj48P3t7e5Ofnm+q86CZJzJHGg/pAREQezBOxbO/XxQ2NRiMREREABAUFERkZyerVq1m5ciUxMTG4uLjQsmVLcnJyWLlyJd7e3qZsSgsWLOD48ePKmGRmjEYjRUVF9OvXj379+tG9e3cA5s+fT4sWLbC2tubgwYOcPXuWpKQk0tPT6du3Ly+99BK2trZs3rwZa2trxo4d+5vn1u+CmBONB/WBiIg8nAqfqlzFDQVuzzZaWVnh4uLCrFmzCAkJYcGCBaxatYoNGzbQvXt3CgoKyMzM5KeffmLWrFmMHz+eqKgoatasyfHjxzl06BBubm54e3vfc24Rc6LxoD4QEZGHU2GX7ZWUlLBz505T4DRlyhRSUlJYu3YtISEhZGZmcvbsWdPzO3ToQO3atdm7dy8nTpwAoHr16rRr14527dqZiiCK+SlLO1xSUkJkZCRRUVG89tprZGVlsXXrVnr06MGIESOoXLkyrVu3Jj8/n6+++orS0lJee+01HBwc6N27N8XFxaSmplJcXFzeTRJ5aBoP6gMREXl4FTZ4OnXqFPPnz+fQoUPExsaaKsKPGzeOUaNG0alTJ+bNm0dubq5pP1SfPn24cOEC27ZtM53n6aef5tVXX8XBweGe2lDy11e2j6G0tBRLS0vS09NJS0ujdu3a5OXlAeDh4UFqaiozZ84kMjKSESNGULVqVQ4cOGDaD5Gbm8uaNWuwsrLC2tq6PJsk8tA0HtQHIiLyaCpc8KTihgK3b5Di4uJ49913AbC0tOTIkSN88MEHREREsGTJEuzt7encuTMrV65k2bJlnD9/npkzZ5rOkZeXR40aNQBITU3ln//8JwMGDCiX9og8Co0H9YGIiDweFSp4UnFDKWMwGGjWrBmFhYUsXryYf//73xw/fpzAwEByc3MBKC4u5urVq4SHhxMcHEz//v2ZP38+mzdvBiA5Odm0XLNHjx707t273Noj8ig0HtQHIiLyeFSobHsqbihlDAYDjRs3BmDYsGHk5OTQvHlz4uPjefvtt4mKiqJly5asX7+emJgYcnJySEtLY9CgQVy8eBGAoUOHEhoaCoCtrW25tUXkUWk8qA9EROTxqDAzT2X7kaZOncrWrVtZu3Yt3bp1Y8eOHURHR9OoUSMmTZrE6NGjuXjxIh9++CGTJ0/m3XffZdSoUcyYMYOjR48CMGnSJBo0aFCezZHHwGg0Mn78eFq0aMGhQ4ewtramsLCQd999Fw8PD55//nnc3d0JDg5m+fLlREdHM3ToUPr37w9A27Zt8fT0LOdWiDweGg/qAxEReXRmnar8xo0bWFtb31XHqWzfkpWVFbNnzyYnJ4fo6GgiIiKIiYnhzJkzDBw4kMDAQPbt24erqyt2dnbcvHmTzp07Y2lpiY2NTTm3TB6H7OxsioqKeP/99zEYDCQmJhIQEICzszM5OTls27aNpKQkrl+/To8ePVi7di1NmzalSpUqdxXMFKkINB7UByIi8ugMRjNMIVdW3LBPnz6/WdwwKCiIgwcP8tZbb5mKG44dO9ZU3DAtLY2oqChatWr1m+fWB2TFNGDAAPbu3Uv9+vWpWbMmzs7O7Nixgy+++AJfX1/+8Y9/cPToURYvXoyVVYVa0SpyD40H9YGIiDw4s/w0MBgM2NraMmTIED799FP8/PzYtGkTmzZtYtGiRaxatQpbW1saNmxIYmIi33zzDRMmTCA8PJyCggIuX77Mpk2bcHFxISws7J5zS8VSFhAXFxdTrVo1DAYDEyZMAG7X8iqbaRw/fjzHjx/XTZJUaBoP6gMREXl4ZrfnScUN5UGV3SQVFhbywQcfYGdnx3vvvQdAr169cHd3N2VXDA4OLs9LFfnDaTyoD0RE5OGZVfCk4obysIqKimjSpAne3t5MnjyZI0eOMHv2bNPj+mZZniQaD+oDERF5OGax56m0tJRZs2Zx/vx5pk6dCsCRI0cYM2YMvXr1om/fvrz55pucOHECZ2dnxo0bx0cffUSTJk0YPnw4ANOmTSM3N5cJEyawaNEiLC0tVaPjCXP9+nXs7OywsrIiPT2dAQMGsGTJEkJCQsr70kT+dBoP6gMREXlwZvHVWllxwxMnTrB48WLc3d3Jz8//zeKGbdu2NRU3HD16NHXq1KFdu3YkJyfz7LPPAreLG6pGx5PHyckJuB2M16tXj9WrV+Pv71/OVyVSPjQe1AciIvLgzGLmqUxqaupvFjc8c+YMLVu2JCYmhpiYGMLCwkhLS6N9+/bY29szcOBAtmzZQmhoqGp0iIiIiIjIQzGbPU8qbigiIiIiIuXJbIKn7OxsOnbsyIwZM7C0tCQrK4v09HRKSkpo0KABiYmJxMbGcvXqVUaMGMGKFSs4d+4cFhYWlJaWlvfli4iIiIiImTOrZXt3UnFDERERERH5M5ldVKHihiIiIiIiUh7MZtleGRU3FBERERGR8mB2wROouKGIiIiIiPz5zHbPk4obioiIiIjIn8lsg6cypaWlWFhYcP78eRU3FBERERGRP4zZB08iIiIiIiJ/BrPc8yQiIiIiIvJnU/AkIiIiIiJyHxQ8iYiIiIiI3AcFTyIi8sSYP38+O3bsAGDLli3ExsaSkZHxUOf65ptvGDt27OO8PBER+YtTQSQRETE7ERERGI3G363rZzQa+eWXX0hNTb3r+L/+9S/i4+MBaNmyJenp6XTt2pWJEyfSrl273zzX8uXL2b9/PxMnTgTg1KlT+Pn5PcbWiIiIuVDwJCIiZmnOnDm/W6IiPz+fVq1a3XVs3759ODo6muoB2tjYMGrUKMLDw7l27dp9v29MTAyJiYkPf+EiImK2FDyJiMgTYfHixXTt2pWPPvqIDRs23PP41KlTAWjRooXp//9LcXExe/bsITk5mdatWxMWFvZYr1lERP5aFDyJiIhZGjRo0F3L9i5evIi3t7fpWEBAgOmxc+fOsWHDBlq0aMHf//533n//fdNjwcHBHD9+/J7zX758mS5dulBcXExJSQkbN240vW7Tpk1s3bqVQ4cOUVJSQmFhIRYWFgqeREQqOAVPIiJiln69bC8iIoJ58+ZRrVq1e547depUbGxsHuj8vr6+pKammvY89enThylTppCRkcGhQ4cICAjAz8+PiRMnMnv2bAoLCx+5TSIi8tem4ElERMyO0Wi8Z+YpIyODgQMH3nXM1dWVmJgYMjMzeeGFFx7pPT08PBg+fDjvvPMOo0aNYs+ePezdu/eRzikiIuZFwZOIiJidoqIili5dio+Pj+nY7808ZWVlMXnyZObNmwfcThwxfPjwu57zzDPPmP7/xhtv8OKLL97znl5eXnh5eWFhcW+Vj5KSEgwGwyO1SURE/voUPImIiNnJycnB0dGR2NhYLl68CNyeeRo0aBDW1tbA7WBnzpw5uLq64urqanptw4YN2bVrl+nn4ODgu35+UIMHD2bv3r18+OGHD30OERExDwqeRETErJw5cwZra2scHR05d+4cCQkJ98w2Xblyhb59+z6W9yspKSElJYXevXvz/PPPm463aNGCp556ipCQEIxGI6NHjyYsLIzq1as/lvcVEZG/HgVPIiJiVjZv3sxTTz31hy+Tu3btGnFxcaxatQonJyeio6Pp1q0bX3/9NQDe3t54e3sDYDAY2L9/P5UqVfpDr0lERMqXgicRETEbubm5JCQk8MYbb5iO3blUr8ytW7ce+b2Ki4v59ttviY2NpX///jg4OAC3A6XLly+b0qIXFBRw+PBhcnJy8PDweOT3FRGRvy4FTyIiYjYcHR2JjIyke/fupmNz5sx5oGV7dyaHAHB3d7/nWFJSEj4+Pmzfvh17e/u7HouIiGDkyJHk5uYCYGtri6enJ0OGDHnodomIiHkwGI1GY3lfhIiIiIiIyF/dvflWRURERERE5B4KnkRERERERO6DgicREREREZH7oOBJRERERETkPih4EhERERERuQ8KnkRERERERO6DgicREREREZH7oOBJRERERETkPvw/JEbXBanTu9cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.countplot(x=\"居住地\", data=area, order=area['居住地'].value_counts(ascending=True).index)\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\", fontsize=14)\n",
    "ax.set_xlabel('居住地',fontsize=14)\n",
    "ax.set_ylabel('感染者数',fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 年代別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = patients.copy()\n",
    "age_df = age.groupby(\"年代\").count()[\"id\"].to_frame()\n",
    "age_df.rename(columns={\"id\": \"感染者数\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>年代</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10代</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10歳未満</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20代</th>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30代</th>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40代</th>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50代</th>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60代</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70代</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80代</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90代</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       感染者数\n",
       "年代         \n",
       "10代       5\n",
       "10歳未満     7\n",
       "20代      68\n",
       "30代      63\n",
       "40代      52\n",
       "50代      65\n",
       "60代      43\n",
       "70代      41\n",
       "80代      14\n",
       "90代       5"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "ax = sns.countplot(x=\"年代\", data=age, order=[\"10代\", \"20代\", \"30代\", \"40代\", \"50代\", \"60代\", \"70代\", \"80代\", \"90代\"])\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize=14)\n",
    "\n",
    "ax.set_xlabel('年代',fontsize=14)\n",
    "ax.set_ylabel('感染者数',fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 男女別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "sex_df = patients.copy()\n",
    "sex_df = sex_df.groupby(\"性別\").count()[\"id\"].to_frame()\n",
    "sex_df.rename(columns={\"id\": \"感染者数\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>性別</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>女性</th>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>男性</th>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    感染者数\n",
       "性別      \n",
       "女性   143\n",
       "男性   221"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa597a8dd10>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sex_df.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 職種別"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "work_df = patients.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "ax = sns.countplot(x=\"職業\", data=patients, order=patients['職業'].value_counts(ascending=True).index)\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\", fontsize=14)\n",
    "\n",
    "ax.set_xlabel('職業',fontsize=14)\n",
    "ax.set_ylabel('感染者数',fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "work_df = work_df.groupby(\"職業\").count()[\"id\"].to_frame()\n",
    "work_df.rename(columns={\"id\": \"感染者数\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "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>感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>職業</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>JR東日本社員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>アルバイト</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>スーパー店員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>タクシー運転手</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>パート</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>パートタイム従業員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ホームヘルパー</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>主婦</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>介護職</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>会社員</th>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>保育士</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>公務員</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>医師</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>医療事務</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>医療従事者</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>団体職員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>国家公務員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>大学職員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>契約社員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>学生</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小売店従業員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>建築業</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>接客業</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>施設職員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>検疫官</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>検疫所職員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>歯科医師</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>無職</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>獣医</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>理学療法士</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>病院事務</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>看護員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>看護師</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>米海軍横須賀基地従業員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>自営業</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>自治体職員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>設備工事</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>警察官</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>飲食店勤務</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>飲食店店員</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>飲食店従業員</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             感染者数\n",
       "職業               \n",
       "JR東日本社員         1\n",
       "アルバイト           5\n",
       "スーパー店員          1\n",
       "タクシー運転手         2\n",
       "パート             2\n",
       "パートタイム従業員       1\n",
       "ホームヘルパー         1\n",
       "主婦              3\n",
       "介護職             2\n",
       "会社員           119\n",
       "保育士             2\n",
       "公務員             4\n",
       "医師              3\n",
       "医療事務            1\n",
       "医療従事者           6\n",
       "団体職員            1\n",
       "国家公務員           1\n",
       "大学職員            1\n",
       "契約社員            1\n",
       "学生             15\n",
       "小売店従業員          1\n",
       "建築業             1\n",
       "接客業             1\n",
       "施設職員            1\n",
       "検疫官             1\n",
       "検疫所職員           1\n",
       "歯科医師            1\n",
       "無職             64\n",
       "獣医              1\n",
       "理学療法士           1\n",
       "病院事務            1\n",
       "看護員             1\n",
       "看護師             3\n",
       "米海軍横須賀基地従業員     1\n",
       "自営業            14\n",
       "自治体職員           1\n",
       "設備工事            1\n",
       "警察官             2\n",
       "飲食店勤務           3\n",
       "飲食店店員           2\n",
       "飲食店従業員          1"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "work_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "##"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 川崎市"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "kawasaki_df = patients.query (\"居住地.str.contains ('川崎市')\",engine=\"python\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "area = kawasaki_df.copy()\n",
    "area[\"居住地\"] = area[\"居住地\"]\n",
    "area_df = area.groupby(\"居住地\").count().sort_values(\"id\", ascending=False)[\"id\"].to_frame()\n",
    "area_df.rename(columns={\"id\": \"感染者数\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(kawasaki_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "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>感染者数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>居住地</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市中原区</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市川崎区</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市高津区</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市宮前区</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市多摩区</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市幸区</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市麻生区</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>神奈川県川崎市</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            感染者数\n",
       "居住地             \n",
       "神奈川県川崎市中原区    18\n",
       "神奈川県川崎市川崎区    12\n",
       "神奈川県川崎市高津区    12\n",
       "神奈川県川崎市宮前区    11\n",
       "神奈川県川崎市多摩区    10\n",
       "神奈川県川崎市幸区     10\n",
       "神奈川県川崎市麻生区     6\n",
       "神奈川県川崎市        5"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "area_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.countplot(x=\"居住地\", data=area, order=area['居住地'].value_counts(ascending=True).index)\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\", fontsize=14)\n",
    "ax.set_xlabel('居住地',fontsize=14)\n",
    "ax.set_ylabel('感染者数',fontsize=14)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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