seoul_metro.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 데이터출처 : 서울 열린데이터광장\n",
    "\n",
    "* 서울시 버스노선별 정류장별 시간대별 승하차 인원 정보 : http://data.seoul.go.kr/dataList/OA-12913/S/1/datasetView.do\n",
    "* 서울시 지하철 호선별 역별 시간대별 승하차 인원 정보 :http://data.seoul.go.kr/dataList/OA-12252/S/1/datasetView.do"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 라이브러리 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_font_family():\n",
    "    \"\"\"\n",
    "    시스템 환경에 따른 기본 폰트명을 반환하는 함수\n",
    "    \"\"\"\n",
    "    import platform\n",
    "    system_name = platform.system()\n",
    "\n",
    "    if system_name == \"Darwin\" :\n",
    "        font_family = \"AppleGothic\"\n",
    "    elif system_name == \"Windows\":\n",
    "        font_family = \"Malgun Gothic\"\n",
    "    else:\n",
    "        # Linux(colab)\n",
    "        !apt-get install fonts-nanum -qq  > /dev/null\n",
    "        !fc-cache -fv\n",
    "\n",
    "        import matplotlib as mpl\n",
    "        mpl.font_manager._rebuild()\n",
    "        findfont = mpl.font_manager.fontManager.findfont\n",
    "        mpl.font_manager.findfont = findfont\n",
    "        mpl.backends.backend_agg.findfont = findfont\n",
    "        \n",
    "        font_family = \"NanumBarunGothic\"\n",
    "    return font_family\n",
    "\n",
    "plt.rc(\"font\", family=get_font_family())\n",
    "plt.rc(\"axes\", unicode_minus=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 데이터 로드"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45945, 52)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw = pd.read_csv(\"data/서울시 지하철 호선별 역별 시간대별 승하차 인원 정보.csv\", encoding=\"cp949\")\n",
    "raw.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>04시-05시 승차인원</th>\n",
       "      <th>04시-05시 하차인원</th>\n",
       "      <th>05시-06시 승차인원</th>\n",
       "      <th>05시-06시 하차인원</th>\n",
       "      <th>06시-07시 승차인원</th>\n",
       "      <th>06시-07시 하차인원</th>\n",
       "      <th>07시-08시 승차인원</th>\n",
       "      <th>...</th>\n",
       "      <th>23시-24시 하차인원</th>\n",
       "      <th>00시-01시 승차인원</th>\n",
       "      <th>00시-01시 하차인원</th>\n",
       "      <th>01시-02시 승차인원</th>\n",
       "      <th>01시-02시 하차인원</th>\n",
       "      <th>02시-03시 승차인원</th>\n",
       "      <th>02시-03시 하차인원</th>\n",
       "      <th>03시-04시 승차인원</th>\n",
       "      <th>03시-04시 하차인원</th>\n",
       "      <th>작업일자</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>665</td>\n",
       "      <td>13</td>\n",
       "      <td>13154</td>\n",
       "      <td>2112</td>\n",
       "      <td>8755</td>\n",
       "      <td>6552</td>\n",
       "      <td>13558</td>\n",
       "      <td>...</td>\n",
       "      <td>7234</td>\n",
       "      <td>7</td>\n",
       "      <td>1394</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20210803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동묘앞</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "      <td>3197</td>\n",
       "      <td>1077</td>\n",
       "      <td>3575</td>\n",
       "      <td>4910</td>\n",
       "      <td>5452</td>\n",
       "      <td>...</td>\n",
       "      <td>1955</td>\n",
       "      <td>3</td>\n",
       "      <td>1039</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20210803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>서울역</td>\n",
       "      <td>654</td>\n",
       "      <td>6</td>\n",
       "      <td>8652</td>\n",
       "      <td>6342</td>\n",
       "      <td>11542</td>\n",
       "      <td>33836</td>\n",
       "      <td>34033</td>\n",
       "      <td>...</td>\n",
       "      <td>5824</td>\n",
       "      <td>29</td>\n",
       "      <td>551</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20210803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>시청</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1803</td>\n",
       "      <td>4616</td>\n",
       "      <td>2797</td>\n",
       "      <td>19665</td>\n",
       "      <td>6210</td>\n",
       "      <td>...</td>\n",
       "      <td>988</td>\n",
       "      <td>6</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20210803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>신설동</td>\n",
       "      <td>295</td>\n",
       "      <td>14</td>\n",
       "      <td>7940</td>\n",
       "      <td>3120</td>\n",
       "      <td>7834</td>\n",
       "      <td>10994</td>\n",
       "      <td>15927</td>\n",
       "      <td>...</td>\n",
       "      <td>4104</td>\n",
       "      <td>21</td>\n",
       "      <td>437</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20210803</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역  04시-05시 승차인원  04시-05시 하차인원  05시-06시 승차인원  05시-06시 하차인원  \\\n",
       "0  202107  1호선  동대문           665            13         13154          2112   \n",
       "1  202107  1호선  동묘앞            92             0          3197          1077   \n",
       "2  202107  1호선  서울역           654             6          8652          6342   \n",
       "3  202107  1호선   시청            13             0          1803          4616   \n",
       "4  202107  1호선  신설동           295            14          7940          3120   \n",
       "\n",
       "   06시-07시 승차인원  06시-07시 하차인원  07시-08시 승차인원  ...  23시-24시 하차인원  00시-01시 승차인원  \\\n",
       "0          8755          6552         13558  ...          7234             7   \n",
       "1          3575          4910          5452  ...          1955             3   \n",
       "2         11542         33836         34033  ...          5824            29   \n",
       "3          2797         19665          6210  ...           988             6   \n",
       "4          7834         10994         15927  ...          4104            21   \n",
       "\n",
       "   00시-01시 하차인원  01시-02시 승차인원  01시-02시 하차인원  02시-03시 승차인원  02시-03시 하차인원  \\\n",
       "0          1394             0             0             0             1   \n",
       "1          1039             0             0             0             0   \n",
       "2           551             0             0             0             0   \n",
       "3            84             0             0             0             0   \n",
       "4           437             1             0             0             0   \n",
       "\n",
       "   03시-04시 승차인원  03시-04시 하차인원      작업일자  \n",
       "0             0             0  20210803  \n",
       "1             0             0  20210803  \n",
       "2             0             0  20210803  \n",
       "3             0             0  20210803  \n",
       "4             0             0  20210803  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 데이터 일부 미리보기\n",
    "raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>04시-05시 승차인원</th>\n",
       "      <th>04시-05시 하차인원</th>\n",
       "      <th>05시-06시 승차인원</th>\n",
       "      <th>05시-06시 하차인원</th>\n",
       "      <th>06시-07시 승차인원</th>\n",
       "      <th>06시-07시 하차인원</th>\n",
       "      <th>07시-08시 승차인원</th>\n",
       "      <th>...</th>\n",
       "      <th>23시-24시 하차인원</th>\n",
       "      <th>00시-01시 승차인원</th>\n",
       "      <th>00시-01시 하차인원</th>\n",
       "      <th>01시-02시 승차인원</th>\n",
       "      <th>01시-02시 하차인원</th>\n",
       "      <th>02시-03시 승차인원</th>\n",
       "      <th>02시-03시 하차인원</th>\n",
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       "      <th>03시-04시 하차인원</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45940</th>\n",
       "      <td>201501</td>\n",
       "      <td>중앙선</td>\n",
       "      <td>운길산</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>177</td>\n",
       "      <td>56</td>\n",
       "      <td>642</td>\n",
       "      <td>403</td>\n",
       "      <td>1292</td>\n",
       "      <td>...</td>\n",
       "      <td>633</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20151223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45941</th>\n",
       "      <td>201501</td>\n",
       "      <td>중앙선</td>\n",
       "      <td>원덕</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>292</td>\n",
       "      <td>4</td>\n",
       "      <td>415</td>\n",
       "      <td>46</td>\n",
       "      <td>537</td>\n",
       "      <td>...</td>\n",
       "      <td>383</td>\n",
       "      <td>3</td>\n",
       "      <td>157</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20151223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45942</th>\n",
       "      <td>201501</td>\n",
       "      <td>중앙선</td>\n",
       "      <td>중랑</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>4929</td>\n",
       "      <td>424</td>\n",
       "      <td>8539</td>\n",
       "      <td>2084</td>\n",
       "      <td>22160</td>\n",
       "      <td>...</td>\n",
       "      <td>6501</td>\n",
       "      <td>86</td>\n",
       "      <td>1617</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20151223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45943</th>\n",
       "      <td>201501</td>\n",
       "      <td>중앙선</td>\n",
       "      <td>팔당</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>161</td>\n",
       "      <td>50</td>\n",
       "      <td>368</td>\n",
       "      <td>149</td>\n",
       "      <td>1227</td>\n",
       "      <td>...</td>\n",
       "      <td>336</td>\n",
       "      <td>8</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20151223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45944</th>\n",
       "      <td>201501</td>\n",
       "      <td>중앙선</td>\n",
       "      <td>회기</td>\n",
       "      <td>436</td>\n",
       "      <td>3</td>\n",
       "      <td>10929</td>\n",
       "      <td>3067</td>\n",
       "      <td>23317</td>\n",
       "      <td>10430</td>\n",
       "      <td>65043</td>\n",
       "      <td>...</td>\n",
       "      <td>35702</td>\n",
       "      <td>767</td>\n",
       "      <td>9314</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20151223</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          사용월  호선명 지하철역  04시-05시 승차인원  04시-05시 하차인원  05시-06시 승차인원  \\\n",
       "45940  201501  중앙선  운길산             0             0           177   \n",
       "45941  201501  중앙선   원덕             1             0           292   \n",
       "45942  201501  중앙선   중랑            14             1          4929   \n",
       "45943  201501  중앙선   팔당             0             0           161   \n",
       "45944  201501  중앙선   회기           436             3         10929   \n",
       "\n",
       "       05시-06시 하차인원  06시-07시 승차인원  06시-07시 하차인원  07시-08시 승차인원  ...  \\\n",
       "45940            56           642           403          1292  ...   \n",
       "45941             4           415            46           537  ...   \n",
       "45942           424          8539          2084         22160  ...   \n",
       "45943            50           368           149          1227  ...   \n",
       "45944          3067         23317         10430         65043  ...   \n",
       "\n",
       "       23시-24시 하차인원  00시-01시 승차인원  00시-01시 하차인원  01시-02시 승차인원  01시-02시 하차인원  \\\n",
       "45940           633             3           222             0             0   \n",
       "45941           383             3           157             0             0   \n",
       "45942          6501            86          1617             0             0   \n",
       "45943           336             8            85             0             0   \n",
       "45944         35702           767          9314             0             0   \n",
       "\n",
       "       02시-03시 승차인원  02시-03시 하차인원  03시-04시 승차인원  03시-04시 하차인원      작업일자  \n",
       "45940             0             0             0             0  20151223  \n",
       "45941             0             0             0             0  20151223  \n",
       "45942             0             0             0             0  20151223  \n",
       "45943             0             0             0             0  20151223  \n",
       "45944             0             0             0             0  20151223  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 데이터 요약"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45945 entries, 0 to 45944\n",
      "Data columns (total 52 columns):\n",
      " #   Column        Non-Null Count  Dtype \n",
      "---  ------        --------------  ----- \n",
      " 0   사용월           45945 non-null  int64 \n",
      " 1   호선명           45945 non-null  object\n",
      " 2   지하철역          45945 non-null  object\n",
      " 3   04시-05시 승차인원  45945 non-null  int64 \n",
      " 4   04시-05시 하차인원  45945 non-null  int64 \n",
      " 5   05시-06시 승차인원  45945 non-null  int64 \n",
      " 6   05시-06시 하차인원  45945 non-null  int64 \n",
      " 7   06시-07시 승차인원  45945 non-null  int64 \n",
      " 8   06시-07시 하차인원  45945 non-null  int64 \n",
      " 9   07시-08시 승차인원  45945 non-null  int64 \n",
      " 10  07시-08시 하차인원  45945 non-null  int64 \n",
      " 11  08시-09시 승차인원  45945 non-null  int64 \n",
      " 12  08시-09시 하차인원  45945 non-null  int64 \n",
      " 13  09시-10시 승차인원  45945 non-null  int64 \n",
      " 14  09시-10시 하차인원  45945 non-null  int64 \n",
      " 15  10시-11시 승차인원  45945 non-null  int64 \n",
      " 16  10시-11시 하차인원  45945 non-null  int64 \n",
      " 17  11시-12시 승차인원  45945 non-null  int64 \n",
      " 18  11시-12시 하차인원  45945 non-null  int64 \n",
      " 19  12시-13시 승차인원  45945 non-null  int64 \n",
      " 20  12시-13시 하차인원  45945 non-null  int64 \n",
      " 21  13시-14시 승차인원  45945 non-null  int64 \n",
      " 22  13시-14시 하차인원  45945 non-null  int64 \n",
      " 23  14시-15시 승차인원  45945 non-null  int64 \n",
      " 24  14시-15시 하차인원  45945 non-null  int64 \n",
      " 25  15시-16시 승차인원  45945 non-null  int64 \n",
      " 26  15시-16시 하차인원  45945 non-null  int64 \n",
      " 27  16시-17시 승차인원  45945 non-null  int64 \n",
      " 28  16시-17시 하차인원  45945 non-null  int64 \n",
      " 29  17시-18시 승차인원  45945 non-null  int64 \n",
      " 30  17시-18시 하차인원  45945 non-null  int64 \n",
      " 31  18시-19시 승차인원  45945 non-null  int64 \n",
      " 32  18시-19시 하차인원  45945 non-null  int64 \n",
      " 33  19시-20시 승차인원  45945 non-null  int64 \n",
      " 34  19시-20시 하차인원  45945 non-null  int64 \n",
      " 35  20시-21시 승차인원  45945 non-null  int64 \n",
      " 36  20시-21시 하차인원  45945 non-null  int64 \n",
      " 37  21시-22시 승차인원  45945 non-null  int64 \n",
      " 38  21시-22시 하차인원  45945 non-null  int64 \n",
      " 39  22시-23시 승차인원  45945 non-null  int64 \n",
      " 40  22시-23시 하차인원  45945 non-null  int64 \n",
      " 41  23시-24시 승차인원  45945 non-null  int64 \n",
      " 42  23시-24시 하차인원  45945 non-null  int64 \n",
      " 43  00시-01시 승차인원  45945 non-null  int64 \n",
      " 44  00시-01시 하차인원  45945 non-null  int64 \n",
      " 45  01시-02시 승차인원  45945 non-null  int64 \n",
      " 46  01시-02시 하차인원  45945 non-null  int64 \n",
      " 47  02시-03시 승차인원  45945 non-null  int64 \n",
      " 48  02시-03시 하차인원  45945 non-null  int64 \n",
      " 49  03시-04시 승차인원  45945 non-null  int64 \n",
      " 50  03시-04시 하차인원  45945 non-null  int64 \n",
      " 51  작업일자          45945 non-null  int64 \n",
      "dtypes: int64(50), object(2)\n",
      "memory usage: 18.2+ MB\n"
     ]
    }
   ],
   "source": [
    "raw.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tidy data\n",
    "* melt를 사용하여 깔끔한 데이터 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동묘앞</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>서울역</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>시청</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>신설동</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>295</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역         시간승하차  인원수\n",
       "0  202107  1호선  동대문  04시-05시 승차인원  665\n",
       "1  202107  1호선  동묘앞  04시-05시 승차인원   92\n",
       "2  202107  1호선  서울역  04시-05시 승차인원  654\n",
       "3  202107  1호선   시청  04시-05시 승차인원   13\n",
       "4  202107  1호선  신설동  04시-05시 승차인원  295"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = raw.melt(id_vars=[\"사용월\", \"호선명\", \"지하철역\"], var_name=\"시간승하차\", value_name=\"인원수\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1호선', '2호선', '3호선', '4호선', '5호선', '6호선', '7호선', '8호선', '9호선',\n",
       "       '9호선2~3단계', '경강선', '경부선', '경원선', '경의선', '경인선', '경춘선', '공항철도 1호선',\n",
       "       '과천선', '분당선', '수인선', '안산선', '우이신설선', '일산선', '장항선', '중앙선', '9호선2단계'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# \"호선명\" 유일값 보기\n",
    "df[\"호선명\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['04시-05시 승차인원', '04시-05시 하차인원', '05시-06시 승차인원', '05시-06시 하차인원',\n",
       "       '06시-07시 승차인원', '06시-07시 하차인원', '07시-08시 승차인원', '07시-08시 하차인원',\n",
       "       '08시-09시 승차인원', '08시-09시 하차인원', '09시-10시 승차인원', '09시-10시 하차인원',\n",
       "       '10시-11시 승차인원', '10시-11시 하차인원', '11시-12시 승차인원', '11시-12시 하차인원',\n",
       "       '12시-13시 승차인원', '12시-13시 하차인원', '13시-14시 승차인원', '13시-14시 하차인원',\n",
       "       '14시-15시 승차인원', '14시-15시 하차인원', '15시-16시 승차인원', '15시-16시 하차인원',\n",
       "       '16시-17시 승차인원', '16시-17시 하차인원', '17시-18시 승차인원', '17시-18시 하차인원',\n",
       "       '18시-19시 승차인원', '18시-19시 하차인원', '19시-20시 승차인원', '19시-20시 하차인원',\n",
       "       '20시-21시 승차인원', '20시-21시 하차인원', '21시-22시 승차인원', '21시-22시 하차인원',\n",
       "       '22시-23시 승차인원', '22시-23시 하차인원', '23시-24시 승차인원', '23시-24시 하차인원',\n",
       "       '00시-01시 승차인원', '00시-01시 하차인원', '01시-02시 승차인원', '01시-02시 하차인원',\n",
       "       '02시-03시 승차인원', '02시-03시 하차인원', '03시-04시 승차인원', '03시-04시 하차인원',\n",
       "       '작업일자'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# \"시간승하차\" 유일값 보기\n",
    "df[\"시간승하차\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 불필요한 데이터 제거\n",
    "* 사용하지 않는 데이터 제거하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2251305, 5)\n",
      "(2205360, 5)\n"
     ]
    }
   ],
   "source": [
    "# \"시간승하차\"에 \"작업일자\"는 필요 없기 때문에 제거\n",
    "print(df.shape)\n",
    "df = df[df[\"시간승하차\"] != \"작업일자\"].copy()\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 기술통계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>사용월</th>\n",
       "      <th>인원수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.205360e+06</td>\n",
       "      <td>2.205360e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.017933e+05</td>\n",
       "      <td>1.490138e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.902518e+02</td>\n",
       "      <td>2.396117e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.015010e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.016090e+05</td>\n",
       "      <td>1.086000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.018050e+05</td>\n",
       "      <td>7.182000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.019120e+05</td>\n",
       "      <td>1.872200e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.021070e+05</td>\n",
       "      <td>4.654060e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                사용월           인원수\n",
       "count  2.205360e+06  2.205360e+06\n",
       "mean   2.017933e+05  1.490138e+04\n",
       "std    1.902518e+02  2.396117e+04\n",
       "min    2.015010e+05  0.000000e+00\n",
       "25%    2.016090e+05  1.086000e+03\n",
       "50%    2.018050e+05  7.182000e+03\n",
       "75%    2.019120e+05  1.872200e+04\n",
       "max    2.021070e+05  4.654060e+05"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2205360</td>\n",
       "      <td>2205360</td>\n",
       "      <td>2205360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>26</td>\n",
       "      <td>579</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>5호선</td>\n",
       "      <td>서울역</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>195264</td>\n",
       "      <td>20832</td>\n",
       "      <td>45945</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            호선명     지하철역         시간승하차\n",
       "count   2205360  2205360       2205360\n",
       "unique       26      579            48\n",
       "top         5호선      서울역  04시-05시 승차인원\n",
       "freq     195264    20832         45945"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include=\"object\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 파생변수 만들기\n",
    "### 문자열 나누기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>665</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역         시간승하차  인원수       시간   승하차\n",
       "0  202107  1호선  동대문  04시-05시 승차인원  665  04시-05시  승차인원"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 시간승하차 로 \"시간\", \"승하차\" 파생변수를 생성합니다.\n",
    "df[\"시간\"] = df[\"시간승하차\"].str.split(expand=True)[0]\n",
    "df[\"승하차\"] = df[\"시간승하차\"].str.split(expand=True)[1]\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 출퇴근 시간 변수 만들기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          4\n",
       "1          4\n",
       "2          4\n",
       "3          4\n",
       "4          4\n",
       "          ..\n",
       "2205355    3\n",
       "2205356    3\n",
       "2205357    3\n",
       "2205358    3\n",
       "2205359    3\n",
       "Name: 시간대, Length: 2205360, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# \"시간\"에서 \"시간대\"를 추출합니다.\n",
    "df[\"시간대\"] = df[\"시간\"].str[:2].astype(int)\n",
    "df[\"시간대\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간대</th>\n",
       "      <th>출퇴근</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>665</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동묘앞</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>92</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>서울역</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>654</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>시청</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>13</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>신설동</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>295</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차인원</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역         시간승하차  인원수       시간   승하차  시간대  출퇴근\n",
       "0  202107  1호선  동대문  04시-05시 승차인원  665  04시-05시  승차인원    4  NaN\n",
       "1  202107  1호선  동묘앞  04시-05시 승차인원   92  04시-05시  승차인원    4  NaN\n",
       "2  202107  1호선  서울역  04시-05시 승차인원  654  04시-05시  승차인원    4  NaN\n",
       "3  202107  1호선   시청  04시-05시 승차인원   13  04시-05시  승차인원    4  NaN\n",
       "4  202107  1호선  신설동  04시-05시 승차인원  295  04시-05시  승차인원    4  NaN"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 출퇴근 변수를 만듭니다.\n",
    "# 7~10시는 출근, 17~21시는 퇴근으로 합니다.\n",
    "df.loc[(df[\"시간대\"] >= 7) & (df[\"시간대\"] <= 10), \"출퇴근\"] = \"출근\"\n",
    "df.loc[(df[\"시간대\"] >= 17) & (df[\"시간대\"] <= 21), \"출퇴근\"] = \"퇴근\"\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 문자열 대체\n",
    "* 승차인원 => 승차\n",
    "* 하차인원 => 하차\n",
    "* \"인원\" 텍스트 제거"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간대</th>\n",
       "      <th>출퇴근</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>665</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역         시간승하차  인원수       시간 승하차  시간대  출퇴근\n",
       "0  202107  1호선  동대문  04시-05시 승차인원  665  04시-05시  승차    4  NaN"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 승하차 컬럼에서 문자열 대체로 \"인원\" 텍스트를 제거합니다.\n",
    "df[\"승하차\"] = df[\"승하차\"].str.replace(\"인원\", \"\")\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 문자열 슬라이싱\n",
    "* \"연도월\" 형태의 데이터를 특정 인덱스를 기준으로 슬라이싱"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간대</th>\n",
       "      <th>출퇴근</th>\n",
       "      <th>연도</th>\n",
       "      <th>월</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202107</td>\n",
       "      <td>1호선</td>\n",
       "      <td>동대문</td>\n",
       "      <td>04시-05시 승차인원</td>\n",
       "      <td>665</td>\n",
       "      <td>04시-05시</td>\n",
       "      <td>승차</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      사용월  호선명 지하철역         시간승하차  인원수       시간 승하차  시간대  출퇴근    연도   월\n",
       "0  202107  1호선  동대문  04시-05시 승차인원  665  04시-05시  승차    4  NaN  2021  07"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"연도\"] = df[\"사용월\"].astype(str).str[:4]\n",
    "df[\"월\"] = df[\"사용월\"].astype(str).str[4:]\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '연도별 합계 인원')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data=df.sort_values(\"연도\"), x=\"연도\", y=\"인원수\", ci=None, estimator=np.sum)\n",
    "plt.title(\"연도별 합계 인원\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 코로나 이전 이후 비교\n",
    "### 특정 연도 추출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2205360, 11), (893424, 11))"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_192021 = df[df[\"연도\"].isin([\"2019\", \"2020\", \"2021\"])]\n",
    "df.shape, df_192021.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 연도별 합계 인원"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '연도별 합계 인원')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data=df_192021, x=\"연도\", y=\"인원수\", ci=None, estimator=np.sum)\n",
    "plt.title(\"연도별 합계 인원\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 호선별 합계 인원"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '호선별 합계 인원')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.barplot(data=df_192021, x=\"인원수\", y=\"호선명\", ci=None, estimator=np.sum, hue=\"연도\")\n",
    "plt.title(\"호선별 합계 인원\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "  color: #f1f1f1;\n",
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       "#T_50270_row9_col3, #T_50270_row10_col0, #T_50270_row11_col1, #T_50270_row22_col2, #T_50270_row24_col0, #T_50270_row24_col2, #T_50270_row24_col4, #T_50270_row24_col5, #T_50270_row24_col6 {\n",
       "  background-color: #fff7fb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row9_col4, #T_50270_row14_col0, #T_50270_row17_col0 {\n",
       "  background-color: #f8f1f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row9_col5, #T_50270_row9_col6, #T_50270_row14_col1, #T_50270_row14_col2, #T_50270_row17_col1, #T_50270_row17_col2, #T_50270_row17_col5, #T_50270_row17_col6, #T_50270_row23_col0, #T_50270_row25_col0, #T_50270_row25_col2, #T_50270_row25_col4, #T_50270_row25_col5 {\n",
       "  background-color: #f7f0f7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row10_col1, #T_50270_row10_col2, #T_50270_row11_col3, #T_50270_row11_col6, #T_50270_row16_col0, #T_50270_row16_col2, #T_50270_row16_col4, #T_50270_row16_col5, #T_50270_row22_col4 {\n",
       "  background-color: #fdf5fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row10_col3, #T_50270_row16_col1, #T_50270_row16_col3, #T_50270_row16_col6, #T_50270_row20_col1, #T_50270_row20_col2, #T_50270_row20_col4, #T_50270_row22_col3, #T_50270_row22_col5 {\n",
       "  background-color: #fcf4fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row11_col2, #T_50270_row24_col1, #T_50270_row24_col3 {\n",
       "  background-color: #fef6fb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row11_col4, #T_50270_row11_col5, #T_50270_row20_col0 {\n",
       "  background-color: #fef6fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row12_col0, #T_50270_row12_col6 {\n",
       "  background-color: #b8c6e0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row12_col1 {\n",
       "  background-color: #bbc7e0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row12_col2, #T_50270_row12_col3, #T_50270_row12_col4 {\n",
       "  background-color: #bcc7e1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row12_col5 {\n",
       "  background-color: #bdc8e1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row13_col0, #T_50270_row13_col2, #T_50270_row13_col3, #T_50270_row13_col5 {\n",
       "  background-color: #eae6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row13_col1, #T_50270_row13_col6 {\n",
       "  background-color: #e9e5f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row14_col3, #T_50270_row14_col4, #T_50270_row18_col4, #T_50270_row18_col5, #T_50270_row25_col1, #T_50270_row25_col3, #T_50270_row25_col6 {\n",
       "  background-color: #f6eff7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row14_col5, #T_50270_row17_col3, #T_50270_row17_col4, #T_50270_row18_col0, #T_50270_row18_col2, #T_50270_row18_col6, #T_50270_row23_col1, #T_50270_row23_col2, #T_50270_row23_col4 {\n",
       "  background-color: #f5eff6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row14_col6, #T_50270_row18_col1, #T_50270_row18_col3, #T_50270_row23_col3, #T_50270_row23_col5 {\n",
       "  background-color: #f5eef6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row15_col0, #T_50270_row15_col2, #T_50270_row15_col3 {\n",
       "  background-color: #d9d8ea;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row15_col4, #T_50270_row15_col5 {\n",
       "  background-color: #dbdaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row15_col6 {\n",
       "  background-color: #dad9ea;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row19_col3 {\n",
       "  background-color: #d3d4e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row19_col4 {\n",
       "  background-color: #d2d3e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row19_col5 {\n",
       "  background-color: #d1d2e6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row19_col6 {\n",
       "  background-color: #cacee5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row20_col3, #T_50270_row20_col5, #T_50270_row22_col6 {\n",
       "  background-color: #fbf4f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row20_col6 {\n",
       "  background-color: #faf3f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row21_col0, #T_50270_row21_col4, #T_50270_row21_col5 {\n",
       "  background-color: #f4edf6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row21_col1, #T_50270_row21_col6 {\n",
       "  background-color: #f2ecf5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row21_col2, #T_50270_row21_col3 {\n",
       "  background-color: #f3edf5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_50270_row23_col6 {\n",
       "  background-color: #f4eef6;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_50270_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >연도</th>\n",
       "      <th class=\"col_heading level0 col0\" >2015</th>\n",
       "      <th class=\"col_heading level0 col1\" >2016</th>\n",
       "      <th class=\"col_heading level0 col2\" >2017</th>\n",
       "      <th class=\"col_heading level0 col3\" >2018</th>\n",
       "      <th class=\"col_heading level0 col4\" >2019</th>\n",
       "      <th class=\"col_heading level0 col5\" >2020</th>\n",
       "      <th class=\"col_heading level0 col6\" >2021</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >호선명</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "      <th class=\"blank col4\" >&nbsp;</th>\n",
       "      <th class=\"blank col5\" >&nbsp;</th>\n",
       "      <th class=\"blank col6\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row0\" class=\"row_heading level0 row0\" >1호선</th>\n",
       "      <td id=\"T_50270_row0_col0\" class=\"data row0 col0\" >209,611,322</td>\n",
       "      <td id=\"T_50270_row0_col1\" class=\"data row0 col1\" >209,253,173</td>\n",
       "      <td id=\"T_50270_row0_col2\" class=\"data row0 col2\" >199,479,727</td>\n",
       "      <td id=\"T_50270_row0_col3\" class=\"data row0 col3\" >196,615,316</td>\n",
       "      <td id=\"T_50270_row0_col4\" class=\"data row0 col4\" >200,161,236</td>\n",
       "      <td id=\"T_50270_row0_col5\" class=\"data row0 col5\" >132,923,921</td>\n",
       "      <td id=\"T_50270_row0_col6\" class=\"data row0 col6\" >73,905,493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row1\" class=\"row_heading level0 row1\" >2호선</th>\n",
       "      <td id=\"T_50270_row1_col0\" class=\"data row1 col0\" >1,136,532,805</td>\n",
       "      <td id=\"T_50270_row1_col1\" class=\"data row1 col1\" >1,130,426,567</td>\n",
       "      <td id=\"T_50270_row1_col2\" class=\"data row1 col2\" >1,113,126,253</td>\n",
       "      <td id=\"T_50270_row1_col3\" class=\"data row1 col3\" >1,120,273,637</td>\n",
       "      <td id=\"T_50270_row1_col4\" class=\"data row1 col4\" >1,127,099,473</td>\n",
       "      <td id=\"T_50270_row1_col5\" class=\"data row1 col5\" >799,725,099</td>\n",
       "      <td id=\"T_50270_row1_col6\" class=\"data row1 col6\" >455,580,964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row2\" class=\"row_heading level0 row2\" >3호선</th>\n",
       "      <td id=\"T_50270_row2_col0\" class=\"data row2 col0\" >407,149,170</td>\n",
       "      <td id=\"T_50270_row2_col1\" class=\"data row2 col1\" >407,299,680</td>\n",
       "      <td id=\"T_50270_row2_col2\" class=\"data row2 col2\" >406,715,836</td>\n",
       "      <td id=\"T_50270_row2_col3\" class=\"data row2 col3\" >409,099,330</td>\n",
       "      <td id=\"T_50270_row2_col4\" class=\"data row2 col4\" >415,110,584</td>\n",
       "      <td id=\"T_50270_row2_col5\" class=\"data row2 col5\" >295,542,443</td>\n",
       "      <td id=\"T_50270_row2_col6\" class=\"data row2 col6\" >172,127,089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row3\" class=\"row_heading level0 row3\" >4호선</th>\n",
       "      <td id=\"T_50270_row3_col0\" class=\"data row3 col0\" >447,917,398</td>\n",
       "      <td id=\"T_50270_row3_col1\" class=\"data row3 col1\" >448,404,612</td>\n",
       "      <td id=\"T_50270_row3_col2\" class=\"data row3 col2\" >433,640,491</td>\n",
       "      <td id=\"T_50270_row3_col3\" class=\"data row3 col3\" >421,192,109</td>\n",
       "      <td id=\"T_50270_row3_col4\" class=\"data row3 col4\" >422,059,263</td>\n",
       "      <td id=\"T_50270_row3_col5\" class=\"data row3 col5\" >287,173,824</td>\n",
       "      <td id=\"T_50270_row3_col6\" class=\"data row3 col6\" >162,916,799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row4\" class=\"row_heading level0 row4\" >5호선</th>\n",
       "      <td id=\"T_50270_row4_col0\" class=\"data row4 col0\" >432,004,257</td>\n",
       "      <td id=\"T_50270_row4_col1\" class=\"data row4 col1\" >432,061,470</td>\n",
       "      <td id=\"T_50270_row4_col2\" class=\"data row4 col2\" >430,795,143</td>\n",
       "      <td id=\"T_50270_row4_col3\" class=\"data row4 col3\" >434,307,063</td>\n",
       "      <td id=\"T_50270_row4_col4\" class=\"data row4 col4\" >440,703,923</td>\n",
       "      <td id=\"T_50270_row4_col5\" class=\"data row4 col5\" >341,842,285</td>\n",
       "      <td id=\"T_50270_row4_col6\" class=\"data row4 col6\" >212,279,967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row5\" class=\"row_heading level0 row5\" >6호선</th>\n",
       "      <td id=\"T_50270_row5_col0\" class=\"data row5 col0\" >252,985,992</td>\n",
       "      <td id=\"T_50270_row5_col1\" class=\"data row5 col1\" >254,863,612</td>\n",
       "      <td id=\"T_50270_row5_col2\" class=\"data row5 col2\" >255,195,824</td>\n",
       "      <td id=\"T_50270_row5_col3\" class=\"data row5 col3\" >255,959,341</td>\n",
       "      <td id=\"T_50270_row5_col4\" class=\"data row5 col4\" >257,362,720</td>\n",
       "      <td id=\"T_50270_row5_col5\" class=\"data row5 col5\" >186,709,725</td>\n",
       "      <td id=\"T_50270_row5_col6\" class=\"data row5 col6\" >109,375,593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row6\" class=\"row_heading level0 row6\" >7호선</th>\n",
       "      <td id=\"T_50270_row6_col0\" class=\"data row6 col0\" >525,502,631</td>\n",
       "      <td id=\"T_50270_row6_col1\" class=\"data row6 col1\" >520,579,948</td>\n",
       "      <td id=\"T_50270_row6_col2\" class=\"data row6 col2\" >510,012,555</td>\n",
       "      <td id=\"T_50270_row6_col3\" class=\"data row6 col3\" >510,947,444</td>\n",
       "      <td id=\"T_50270_row6_col4\" class=\"data row6 col4\" >516,694,675</td>\n",
       "      <td id=\"T_50270_row6_col5\" class=\"data row6 col5\" >396,263,946</td>\n",
       "      <td id=\"T_50270_row6_col6\" class=\"data row6 col6\" >233,771,820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row7\" class=\"row_heading level0 row7\" >8호선</th>\n",
       "      <td id=\"T_50270_row7_col0\" class=\"data row7 col0\" >119,346,230</td>\n",
       "      <td id=\"T_50270_row7_col1\" class=\"data row7 col1\" >122,631,543</td>\n",
       "      <td id=\"T_50270_row7_col2\" class=\"data row7 col2\" >128,751,279</td>\n",
       "      <td id=\"T_50270_row7_col3\" class=\"data row7 col3\" >134,434,784</td>\n",
       "      <td id=\"T_50270_row7_col4\" class=\"data row7 col4\" >139,411,556</td>\n",
       "      <td id=\"T_50270_row7_col5\" class=\"data row7 col5\" >107,526,283</td>\n",
       "      <td id=\"T_50270_row7_col6\" class=\"data row7 col6\" >63,689,564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row8\" class=\"row_heading level0 row8\" >9호선</th>\n",
       "      <td id=\"T_50270_row8_col0\" class=\"data row8 col0\" >186,857,064</td>\n",
       "      <td id=\"T_50270_row8_col1\" class=\"data row8 col1\" >189,045,279</td>\n",
       "      <td id=\"T_50270_row8_col2\" class=\"data row8 col2\" >191,462,937</td>\n",
       "      <td id=\"T_50270_row8_col3\" class=\"data row8 col3\" >193,572,786</td>\n",
       "      <td id=\"T_50270_row8_col4\" class=\"data row8 col4\" >203,031,073</td>\n",
       "      <td id=\"T_50270_row8_col5\" class=\"data row8 col5\" >152,781,668</td>\n",
       "      <td id=\"T_50270_row8_col6\" class=\"data row8 col6\" >92,076,430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row9\" class=\"row_heading level0 row9\" >9호선2~3단계</th>\n",
       "      <td id=\"T_50270_row9_col0\" class=\"data row9 col0\" >nan</td>\n",
       "      <td id=\"T_50270_row9_col1\" class=\"data row9 col1\" >nan</td>\n",
       "      <td id=\"T_50270_row9_col2\" class=\"data row9 col2\" >nan</td>\n",
       "      <td id=\"T_50270_row9_col3\" class=\"data row9 col3\" >4,513,365</td>\n",
       "      <td id=\"T_50270_row9_col4\" class=\"data row9 col4\" >60,455,327</td>\n",
       "      <td id=\"T_50270_row9_col5\" class=\"data row9 col5\" >49,645,106</td>\n",
       "      <td id=\"T_50270_row9_col6\" class=\"data row9 col6\" >30,703,938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row10\" class=\"row_heading level0 row10\" >9호선2단계</th>\n",
       "      <td id=\"T_50270_row10_col0\" class=\"data row10 col0\" >15,226,405</td>\n",
       "      <td id=\"T_50270_row10_col1\" class=\"data row10 col1\" >25,498,330</td>\n",
       "      <td id=\"T_50270_row10_col2\" class=\"data row10 col2\" >27,695,842</td>\n",
       "      <td id=\"T_50270_row10_col3\" class=\"data row10 col3\" >26,751,266</td>\n",
       "      <td id=\"T_50270_row10_col4\" class=\"data row10 col4\" >nan</td>\n",
       "      <td id=\"T_50270_row10_col5\" class=\"data row10 col5\" >nan</td>\n",
       "      <td id=\"T_50270_row10_col6\" class=\"data row10 col6\" >nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row11\" class=\"row_heading level0 row11\" >경강선</th>\n",
       "      <td id=\"T_50270_row11_col0\" class=\"data row11 col0\" >nan</td>\n",
       "      <td id=\"T_50270_row11_col1\" class=\"data row11 col1\" >4,123,196</td>\n",
       "      <td id=\"T_50270_row11_col2\" class=\"data row11 col2\" >16,698,329</td>\n",
       "      <td id=\"T_50270_row11_col3\" class=\"data row11 col3\" >18,581,284</td>\n",
       "      <td id=\"T_50270_row11_col4\" class=\"data row11 col4\" >20,173,748</td>\n",
       "      <td id=\"T_50270_row11_col5\" class=\"data row11 col5\" >15,701,800</td>\n",
       "      <td id=\"T_50270_row11_col6\" class=\"data row11 col6\" >9,748,469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row12\" class=\"row_heading level0 row12\" >경부선</th>\n",
       "      <td id=\"T_50270_row12_col0\" class=\"data row12 col0\" >371,997,160</td>\n",
       "      <td id=\"T_50270_row12_col1\" class=\"data row12 col1\" >357,754,278</td>\n",
       "      <td id=\"T_50270_row12_col2\" class=\"data row12 col2\" >352,559,319</td>\n",
       "      <td id=\"T_50270_row12_col3\" class=\"data row12 col3\" >351,776,416</td>\n",
       "      <td id=\"T_50270_row12_col4\" class=\"data row12 col4\" >356,242,087</td>\n",
       "      <td id=\"T_50270_row12_col5\" class=\"data row12 col5\" >250,662,831</td>\n",
       "      <td id=\"T_50270_row12_col6\" class=\"data row12 col6\" >148,931,758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row13\" class=\"row_heading level0 row13\" >경원선</th>\n",
       "      <td id=\"T_50270_row13_col0\" class=\"data row13 col0\" >161,326,962</td>\n",
       "      <td id=\"T_50270_row13_col1\" class=\"data row13 col1\" >161,197,446</td>\n",
       "      <td id=\"T_50270_row13_col2\" class=\"data row13 col2\" >159,248,879</td>\n",
       "      <td id=\"T_50270_row13_col3\" class=\"data row13 col3\" >156,953,542</td>\n",
       "      <td id=\"T_50270_row13_col4\" class=\"data row13 col4\" >157,976,732</td>\n",
       "      <td id=\"T_50270_row13_col5\" class=\"data row13 col5\" >114,310,556</td>\n",
       "      <td id=\"T_50270_row13_col6\" class=\"data row13 col6\" >66,921,727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row14\" class=\"row_heading level0 row14\" >경의선</th>\n",
       "      <td id=\"T_50270_row14_col0\" class=\"data row14 col0\" >62,890,828</td>\n",
       "      <td id=\"T_50270_row14_col1\" class=\"data row14 col1\" >68,772,890</td>\n",
       "      <td id=\"T_50270_row14_col2\" class=\"data row14 col2\" >72,380,019</td>\n",
       "      <td id=\"T_50270_row14_col3\" class=\"data row14 col3\" >73,887,964</td>\n",
       "      <td id=\"T_50270_row14_col4\" class=\"data row14 col4\" >77,684,253</td>\n",
       "      <td id=\"T_50270_row14_col5\" class=\"data row14 col5\" >58,750,868</td>\n",
       "      <td id=\"T_50270_row14_col6\" class=\"data row14 col6\" >35,914,840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row15\" class=\"row_heading level0 row15\" >경인선</th>\n",
       "      <td id=\"T_50270_row15_col0\" class=\"data row15 col0\" >251,311,421</td>\n",
       "      <td id=\"T_50270_row15_col1\" class=\"data row15 col1\" >248,641,766</td>\n",
       "      <td id=\"T_50270_row15_col2\" class=\"data row15 col2\" >241,796,879</td>\n",
       "      <td id=\"T_50270_row15_col3\" class=\"data row15 col3\" >235,644,775</td>\n",
       "      <td id=\"T_50270_row15_col4\" class=\"data row15 col4\" >234,572,651</td>\n",
       "      <td id=\"T_50270_row15_col5\" class=\"data row15 col5\" >166,578,819</td>\n",
       "      <td id=\"T_50270_row15_col6\" class=\"data row15 col6\" >97,290,292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row16\" class=\"row_heading level0 row16\" >경춘선</th>\n",
       "      <td id=\"T_50270_row16_col0\" class=\"data row16 col0\" >26,958,381</td>\n",
       "      <td id=\"T_50270_row16_col1\" class=\"data row16 col1\" >27,417,865</td>\n",
       "      <td id=\"T_50270_row16_col2\" class=\"data row16 col2\" >28,272,132</td>\n",
       "      <td id=\"T_50270_row16_col3\" class=\"data row16 col3\" >27,826,348</td>\n",
       "      <td id=\"T_50270_row16_col4\" class=\"data row16 col4\" >28,440,938</td>\n",
       "      <td id=\"T_50270_row16_col5\" class=\"data row16 col5\" >21,326,572</td>\n",
       "      <td id=\"T_50270_row16_col6\" class=\"data row16 col6\" >13,095,573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row17\" class=\"row_heading level0 row17\" >공항철도 1호선</th>\n",
       "      <td id=\"T_50270_row17_col0\" class=\"data row17 col0\" >63,406,230</td>\n",
       "      <td id=\"T_50270_row17_col1\" class=\"data row17 col1\" >65,153,160</td>\n",
       "      <td id=\"T_50270_row17_col2\" class=\"data row17 col2\" >66,555,107</td>\n",
       "      <td id=\"T_50270_row17_col3\" class=\"data row17 col3\" >74,415,089</td>\n",
       "      <td id=\"T_50270_row17_col4\" class=\"data row17 col4\" >82,792,657</td>\n",
       "      <td id=\"T_50270_row17_col5\" class=\"data row17 col5\" >52,669,657</td>\n",
       "      <td id=\"T_50270_row17_col6\" class=\"data row17 col6\" >30,708,254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row18\" class=\"row_heading level0 row18\" >과천선</th>\n",
       "      <td id=\"T_50270_row18_col0\" class=\"data row18 col0\" >81,579,595</td>\n",
       "      <td id=\"T_50270_row18_col1\" class=\"data row18 col1\" >81,536,219</td>\n",
       "      <td id=\"T_50270_row18_col2\" class=\"data row18 col2\" >79,694,076</td>\n",
       "      <td id=\"T_50270_row18_col3\" class=\"data row18 col3\" >79,257,283</td>\n",
       "      <td id=\"T_50270_row18_col4\" class=\"data row18 col4\" >80,657,892</td>\n",
       "      <td id=\"T_50270_row18_col5\" class=\"data row18 col5\" >55,300,231</td>\n",
       "      <td id=\"T_50270_row18_col6\" class=\"data row18 col6\" >32,615,833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row19\" class=\"row_heading level0 row19\" >분당선</th>\n",
       "      <td id=\"T_50270_row19_col0\" class=\"data row19 col0\" >266,980,352</td>\n",
       "      <td id=\"T_50270_row19_col1\" class=\"data row19 col1\" >263,101,174</td>\n",
       "      <td id=\"T_50270_row19_col2\" class=\"data row19 col2\" >266,247,284</td>\n",
       "      <td id=\"T_50270_row19_col3\" class=\"data row19 col3\" >269,976,956</td>\n",
       "      <td id=\"T_50270_row19_col4\" class=\"data row19 col4\" >277,112,719</td>\n",
       "      <td id=\"T_50270_row19_col5\" class=\"data row19 col5\" >205,044,955</td>\n",
       "      <td id=\"T_50270_row19_col6\" class=\"data row19 col6\" >124,502,568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row20\" class=\"row_heading level0 row20\" >수인선</th>\n",
       "      <td id=\"T_50270_row20_col0\" class=\"data row20 col0\" >20,170,570</td>\n",
       "      <td id=\"T_50270_row20_col1\" class=\"data row20 col1\" >29,761,029</td>\n",
       "      <td id=\"T_50270_row20_col2\" class=\"data row20 col2\" >33,663,877</td>\n",
       "      <td id=\"T_50270_row20_col3\" class=\"data row20 col3\" >32,951,445</td>\n",
       "      <td id=\"T_50270_row20_col4\" class=\"data row20 col4\" >33,677,875</td>\n",
       "      <td id=\"T_50270_row20_col5\" class=\"data row20 col5\" >26,279,785</td>\n",
       "      <td id=\"T_50270_row20_col6\" class=\"data row20 col6\" >19,622,775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row21\" class=\"row_heading level0 row21\" >안산선</th>\n",
       "      <td id=\"T_50270_row21_col0\" class=\"data row21 col0\" >97,430,802</td>\n",
       "      <td id=\"T_50270_row21_col1\" class=\"data row21 col1\" >96,766,402</td>\n",
       "      <td id=\"T_50270_row21_col2\" class=\"data row21 col2\" >95,566,853</td>\n",
       "      <td id=\"T_50270_row21_col3\" class=\"data row21 col3\" >94,298,244</td>\n",
       "      <td id=\"T_50270_row21_col4\" class=\"data row21 col4\" >94,169,739</td>\n",
       "      <td id=\"T_50270_row21_col5\" class=\"data row21 col5\" >68,663,703</td>\n",
       "      <td id=\"T_50270_row21_col6\" class=\"data row21 col6\" >41,341,300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row22\" class=\"row_heading level0 row22\" >우이신설선</th>\n",
       "      <td id=\"T_50270_row22_col0\" class=\"data row22 col0\" >nan</td>\n",
       "      <td id=\"T_50270_row22_col1\" class=\"data row22 col1\" >nan</td>\n",
       "      <td id=\"T_50270_row22_col2\" class=\"data row22 col2\" >9,065,178</td>\n",
       "      <td id=\"T_50270_row22_col3\" class=\"data row22 col3\" >29,832,523</td>\n",
       "      <td id=\"T_50270_row22_col4\" class=\"data row22 col4\" >31,739,954</td>\n",
       "      <td id=\"T_50270_row22_col5\" class=\"data row22 col5\" >24,746,420</td>\n",
       "      <td id=\"T_50270_row22_col6\" class=\"data row22 col6\" >15,017,199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row23\" class=\"row_heading level0 row23\" >일산선</th>\n",
       "      <td id=\"T_50270_row23_col0\" class=\"data row23 col0\" >74,566,197</td>\n",
       "      <td id=\"T_50270_row23_col1\" class=\"data row23 col1\" >76,961,185</td>\n",
       "      <td id=\"T_50270_row23_col2\" class=\"data row23 col2\" >79,400,119</td>\n",
       "      <td id=\"T_50270_row23_col3\" class=\"data row23 col3\" >80,349,866</td>\n",
       "      <td id=\"T_50270_row23_col4\" class=\"data row23 col4\" >82,522,907</td>\n",
       "      <td id=\"T_50270_row23_col5\" class=\"data row23 col5\" >60,757,302</td>\n",
       "      <td id=\"T_50270_row23_col6\" class=\"data row23 col6\" >36,077,416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row24\" class=\"row_heading level0 row24\" >장항선</th>\n",
       "      <td id=\"T_50270_row24_col0\" class=\"data row24 col0\" >11,037,246</td>\n",
       "      <td id=\"T_50270_row24_col1\" class=\"data row24 col1\" >10,988,592</td>\n",
       "      <td id=\"T_50270_row24_col2\" class=\"data row24 col2\" >11,237,592</td>\n",
       "      <td id=\"T_50270_row24_col3\" class=\"data row24 col3\" >10,975,449</td>\n",
       "      <td id=\"T_50270_row24_col4\" class=\"data row24 col4\" >11,158,329</td>\n",
       "      <td id=\"T_50270_row24_col5\" class=\"data row24 col5\" >6,877,542</td>\n",
       "      <td id=\"T_50270_row24_col6\" class=\"data row24 col6\" >4,272,576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_50270_level0_row25\" class=\"row_heading level0 row25\" >중앙선</th>\n",
       "      <td id=\"T_50270_row25_col0\" class=\"data row25 col0\" >72,455,470</td>\n",
       "      <td id=\"T_50270_row25_col1\" class=\"data row25 col1\" >72,915,116</td>\n",
       "      <td id=\"T_50270_row25_col2\" class=\"data row25 col2\" >71,847,163</td>\n",
       "      <td id=\"T_50270_row25_col3\" class=\"data row25 col3\" >70,454,511</td>\n",
       "      <td id=\"T_50270_row25_col4\" class=\"data row25 col4\" >71,555,108</td>\n",
       "      <td id=\"T_50270_row25_col5\" class=\"data row25 col5\" >52,522,255</td>\n",
       "      <td id=\"T_50270_row25_col6\" class=\"data row25 col6\" >31,157,449</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7ff6c4edfc90>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_line_year = df.groupby([\"호선명\", \"연도\"])[\"인원수\"].sum().unstack()\n",
    "df_line_year.style.background_gradient().format(\"{:,.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 월별 승하차 인원"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff690a7c890>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "plt.xticks(rotation=60)\n",
    "sns.pointplot(data=df_192021, x=\"사용월\", y=\"인원수\", hue=\"승하차\", ci=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff706b8f790>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "plt.xticks(rotation=60)\n",
    "sns.pointplot(data=df_192021, x=\"사용월\", y=\"인원수\", hue=\"승하차\", ci=None, estimator=np.sum)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 호선별 인원"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '호선별 평균 인원')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.barplot(data=df, x=\"인원수\", y=\"호선명\", ci=None)\n",
    "plt.title(\"호선별 평균 인원\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '호선별 합계 인원')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.barplot(data=df, x=\"인원수\", y=\"호선명\", ci=None, estimator=sum)\n",
    "plt.title(\"호선별 합계 인원\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '호선별 합계 인원')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xhr+17Xm222y3TZ3UMhiPEhERERERMeYkeV3n3cBOkq4rU313Kd9nlPZjgDcDDwNXAL+w/dPa9dsAZ3RPI7Z9FXCy7ZWlPb91RERERETEAGXacGH7S8CXuo8l3Wr7rZLGS5Ltx4CTJLUCl9ru7HH9L8t1HwMut32f7QdL85PA48PzJBEREREREWNPkte+HQ4cKmkl6xZxOl3SOKpq6kTgU7ZvLm2vAFrrA9heOFzBRkREREREjEWyPdIxjCmS5gJ7UFVa15TT44Grbfe6GlNbW5s7Ozt76xIRERERETFmSeqy3daoLZXXQWb7xJGOISIiIiIiYqxJ8jqKLF2+ghmzFox0GBERQ6qr45CRDiEiIiI2QlkBNyIiIiIiIka9JK+FpLu7t8kpnw816PMhSVdIukbShF7G2qXH8dGS9huKuCMiIiIiIppBpg2v86jttzZqkHQE0AY8BSwpp+dI2hQ4v3tv15qzgQNqx6vKJyIiIiIiIgYgldd+sH0x8DlAwG7ATsBS20f2TFwl7QS8TtLmko6SdB1wPLB2mMOOiIiIiIgYM1J5XWdLSRcD2wGPAifavqfWfj5wLnA7MAk4Q9Letq/t7iBpPHACsD9wpu2jgAslfZAq8X0OSe1AO8C0Ka0smtzrbjoRERul6bMXj3QIERERsZFL5XWdzwKzbO8NzAXm92h/Aphavhtoofb7SdqyXHOe7TuBH0i6RNLE0qXhb217nu02221TJ7UM3tNERERERESMIUleC9vftP1I+X4rsGmPLscAbwYeBq4AfmH7p7X2bYAzuqcR274KONn2ytKe3zoiIiIiImKAMm24kLSH7VvK972A35fv44E1th8DTpLUClxqu7N+ve1flv4fAy63fZ/tB0vzk8Djw/QoERERERERY06S13X+QdJngFbgfuDIcv5w4FBJK4HV5dzpksZRVVMnAp+yfXNpe0UZ41m2Fw518BEREREREWOZbI90DGOKpLnAHlSV1jXl9Hjgatu9rsbU1tbmzs7O3rpERERERESMWZK6bLc1akvldZDZPnGkY4iIiIiIiBhrsohQREREREREjHqpvI4iS5evYMasBSMdRsSg6+o4ZKRDiIiIiIiNXCqvERERERERMeolea2RNE7SWZJuknS9pJN7tM+S9CNJ/9rHOLv0OJ4raeehiDkiIiIiIqIZZNrw+j4BPGp7TwBJryh/Twa2BZ4CllSn9AVgM2C27T90DyBJwFnAu2rjriqfiIiIiIiIGIAkr4WkCcCBwBu6z9leVv7OKZXTfwK2A/4HuMz29xoMtQ+wnaQW4DPAW6j2fr1oSB8gIiIiIiJiDEvyus4rgLuAoyW9p5w70/Y15ftFwLHAr4CpwAWS7rL96+4BJL0ImAkcDXza9uxy/hRAjW4qqR1oB5g2pZVFk3vdCjZiozF99uKRDiEiIiIixpC887rOi4B9gT/YfjtwMNAhaYvSvhJ4MeByPJ7a7ydpO+Bi4DTbNwC/lzS3Nn7D39r2PNttttumTmoZxMeJiIiIiIgYO5K8rvNbYKnt7wLYfgi4GdihtB8B/APwDFWSeontu2vXbwscZ/v+cv18oF5GzW8dERERERExQEmoCtuPAX+Q9Nfw7BTg1wN3S5Lt5baPAS4HDrW9qMf119t+QNLpksaXcw+W5kepkt6IiIiIiIgYgLzzur5jgfMkfaIcnwIcD+wraSWwmirh/0ZZkKkFmAh82PbvyjW72F5dH9T2BcMSfURERERExBgl2333in4re8BuQZXori2nxwMLbH+zt2vb2trc2dk5xBFGRERERESMTpK6bLc1akvldZDZPmikY4iIiIiIiBhrkryOIkuXr2DGrAUjHUZERAySro5DRjqEiIiIMSMLNkVERERERMSol8prTVmE6doep//c9qtqfWYBewFP9zZFWNIutv+jdjwX+GqP7XUiIiIiIiKiH5K81theA7y1+1jSy4E55fvJVHu5PgUsqU7pC8BmwGzbf6hdJ+As4F214VeVT0RERERERDxPmTbcu2OB8wBszwG+CEwCdge2B2603V5PXIt9gO0ktZR9X68D3s+61YcjIiIiIiLieUjldQMkTQZebXtW7fRFVAntr4CpwAWS7rL969p1LwJmAkcDn7Y9u5w/BVCD+7QD7QDTprSyaHLHED1RREQMhemzF490CBEREU0hldcN+9/AxT3OrQReDHRvjjue2m8oabtyzWm2bwB+X9517fac39v2PNttttumTmoZvOgjIiIiIiLGkFReGygLN/0tsG+PpiOAk4EbgSuBr/VYgGlb4DjbDwDYni/pz2vt+Y8FERERERERA5DktbGDgO+XBZyQ1Aqstr0cOEbSNsBHbD9cv8j29aX/6cDptlfbfrA0Pwo8M2xPEBERERERMYYkeW3sCODA2vGngH0lrQRWU1VQv1EqtC3ARODDtn9X+u9ie3V9QNsXDH3YERERERERY5Ns990rnhdJ/wpsQZXodq8wPB5YYPubG7qura3NnZ2dwxBhRERERETE6COpy3Zbo7ZUXoeA7YNGOoaIiIiIiIixJAsIRURERERExKiXyusosnT5CmbMWjDSYTSdro5DRjqEiIiIiIjoQyqvERERERERMeolea2RNF3SFZKuk3S7pPf0aJ8l6UdlQabextmlx/FcSTsPRcwRERERERHNINOG13c28M+2b5H0Z8C/SbocOAnYFngKWAJI0heAzYDZtv/QPYAkAWcB76qNu6p8IiIiIiIiYgBSeV1fC7C8fH8c+J0rc4AvApOA3YHtgRttt9cT12IfYDtJLZJOl3Qd8H7WbZkTERERERERz1Mqr+s7CThX0k3A24Hja20XAccCvwKmAhdIusv2r7s7SHoRMBM4Gvi07dnl/CmAGt1QUjvQDjBtSiuLJncM+kNFX7JgU0RERETEaJfK6/o+AFwFfBn4LPB5SdNK20rgxYDL8Xhqv5+k7YCLgdNs3wD8XtLc2tgNf2vb82y32W6bOqllEB8lIiIiIiJi7EjyWkh6FbC97a/aftp2J3AZcFDpcgTwD8AzVEnqJbbvrg2xLXCc7fsBbM8H6mXU/NYREREREREDlIRqnf8GXiNpMoCkicB7gV9Kku3lto8BLgcOtb2ofrHt620/UN5zHV/OPViaH6VKeiMiIiIiImIA8s5rYfs+SWcCV0l6hiqx/xrwVuCfJa0EVpfz35DUQrXA00Tgw7Z/V4baxfbqHmNfMEyPERERERERMSbJdt+9ot/KHrBbUCW63SsMjwcW2P5mb9e2tbW5s7NziCOMiIiIiIgYnSR12W5r1JbK6yCzfVDfvSIiIiIiIuL5SPI6iixdvoIZsxaMdBixEejqyPY+EREREdFcsmBTREREREREjHpJXmsk7S7pGkk/l/R9SdN7tM+S9KPyXmtv4+zS43iupJ2HIuaIiIiIiIhmkGnD65sHvNv2/ZJeDcyT9E7gJKp9XJ8ClgCS9AVgM2C27T90DyBJwFnAu2rjriqfiIiIiIiIGIBUXgtJWwIP2r4fwPYS4D+B19qeA3wRmATsDmwP3Gi7vZ64FvsA20lqKXu+Xge8n3UrD0dERERERMTzlMrrOiuA6ZK2t/07SW8C9gVuAH4JXAQcC/wKmApcIOku27/uHkDSi4CZwNHAp23PLudPAdToppLagXaAaVNaWTS5Y6ieL8aQ/zq9g+mzF490GBERERERwyaV18LVhreHAxdKugbYH1gIPFa6rAReDHRvjDue2u8naTvgYuA02zcAv5c0t3aLhr+17Xm222y3TZ3UMngPFBERERERMYak8lpjuwv46+5jSbcA55XDI4CTgRuBK4Gv2b67dvm2wHG2HyhjzZf057X2/IeCiIiIiIiIAUpCVSNph9r3jwCdwApJsr3c9jHA5cChthfVr7V9ve0Hynuu48u5B0vzo8Azw/MUERERERERY08qr+t7o6SLgCnAHcDHgU8B+0paCaymSvi/IakFaAEmAh+2/bsyxi62V9cHtX3BcD1ARERERETEWKTqVc8YLGUP2C2oEt3uFYbHAwtsf7O3a9va2tzZ2TnEEUZERERERIxOkrpstzVqS+V1kNk+aKRjiIiIiIiIGGvyzmtERERERESMeqm8jiJLl69gxqwFL2iMro5DBimaiIiIiIiI0SOV14iIiIiIiBj1hi15lbS7pGsk/VzS9yVN79E+S9KPyoJHvY2zS4/juZJ2rh1/uNznOklXS9q+H7FtJelr5f7/Jumrklr7uEaSru5xboIk1Y73lPQxSTtJmtNXHBEREREREdHYcE4bnge82/b9kl4NzJP0TuAkYFvgKWAJVV74BWAzYLbtP3QPUBLDs4B31cZdVT7dHgD2s71G0h6l/3v7iG1T4Mzu7W4kdQB/B/yrpG2AnwL/BZgq4T/N9i2SulcTRtJLgcuAlZK2Bk4FVpTmtcDT/fmRIiIiIiIi4rmGJXmVtCXwoO37AWwvkfSfwGttzymV038CtgP+B7jM9vcaDLUPsF3ZY/UzwFuAVwAXdXew/ZNa/3uBCX3FZ/veWqybAdOAX5dT44Cf2f5Yo0erjfEH4K1ljFnAb6i2zDGwpnwiIiIiIiJiAIar8roCmC5pe9u/k/QmYF/gBuCXVMnnscCvgKnABZLust2dQCLpRcBM4Gjg07Znl/OnUEsia/2nlHG7+70VOJlq/9WvAj8EdgA2s32XpH8E3gfsDPwIuLsM1Z181seeDDwO7CDpLKqq7X/XuuxElYi/AZhfxlhLA5LagXaAaVNaWTS5Y4M/Yv9kwaaIiIiIiBh7huWdV9sGDgculHQNsD+wEHisdFkJvJgqyYMqqX42NknbARdTTde9Afi9pLm1W6z3HJJmAJcAJ9m+o5zejGq68WHA64HrgOOAZSXGL9t+C/BSYDFwWrmuFThQ0vWSbpR0PVXyuynwW9ufqCeukv4GuKNUao9vFF+P32ae7TbbbVMntWyoW0RERERERFMbtndebXcBf919LOkW4LxyeARVVfRG4Erga7bvrl2+LXCc7QfKWPMl/XmtvZ7o/h3wt8D7bD/7nqntK8vXh6kS09M2EKclfRv4Wjl1D7CT7Sd79i3Tl+vHOwMfAt4naQGwK1Wim6w0IiIiIiLiBRjO1YZ3qH3/CNAJrJAk28ttHwNcDhxqe1H9WtvX235A0umSxpdzD5bmR4FnyritVIlwez1x7UdsO5ZqbbePUi3ShO21wFOSPtvg0nrS/PfAmcA/unIIVWV3vX4RERERERHx/A3nasNvlHQRMAW4A/g48ClgX0krqd5FHQd8o1Q0W4CJwIe7VwEGdrG9uj6o7QtqhzsCuwM/q+1Y87jtA/qI7THg9JJgPwXcDPxz7R6W9FcNrtun9v1q4HLb9fdju5NWMby/dURERERExJii6nXUjUPZA3YLqkS3ewGk8cAC298cwvuKatGpW6jey51AlVhPBGbZvmkD1+0AbAn8CfiA7VN7u09bW5s7OzsHM/SIiIiIiIiNhqQu222N2jaqaqDtg0bovpa0ZZlC/Hyu+y3w23LYa+IaERERERERG7ZRJa8j6fkmrgOxdPkKZsxa0Ge/ro5shxMREREREc0lCwlFRERERETEqNfUlVdJ46gWWqon8ZfZnidpJrAG+A3QQfWuawvV4kuH2L5f0mW2D24w7o7Asu7FpSQdAEyzfdHQPlFERERERMTY1NTJq+21kvYHVpfvBwE7SDoYeBNwve27gP26r5H0XaB7m54nNjB0B1B/P3dV+URERERERMQANHXyCmC7vkfsTOBYqu18ptJjWrWkPYAlte1wnjPtWtLmwAyqJHjXMt4WwLlD9QwRERERERFjXdMnrwCStgLOAc4GtgXmUCWcZ9T6/CXQDnykdul0SdcB59r+fjl3KvDO8vcw2wsl7Um1B22je7eXcZk2pZVFkzv6EXEWbIqIiIiIiObS1MmrpJcAHwdeDpxs+77yHuzewIHAOEmvAY4EHgPabden/z7avX2PpEnAXOC7tpdIOge4VNKRpW/DxbFszwPmAew2bdONZ9PdiIiIiIiIYdTUySvwMDAfmAScJOmVQCtwD3AncBPwR+CzVFOBz5M0HVgNLKaq0HbbCphv+3YA23dIOhp4tLRnZeeIiBUSofgAACAASURBVIiIiIgBaurk1bYlrQC+TlWB/RVVYjod+BfgF7b/IOlA4F1U04j/i2rV4RnAFyW9zfZK28uAZWXRp2W2u2w/BCBpFfDIcD9fRERERETEWNHUyWsxAfgTsNT2SgBJy4B7gc1Kn82BTtu/6b5I0q3luk2BlbXxXkpV0X2W7duA24bqASIiIiIiIsa6pk9ebT8k6VvAlZJENW14E6p3V68r3RYAp0j6OdX037VU+71eYvuxBsOeUyq6q8txC7DY9gm9xTJh612ZPrvzBT9TRERERETEWCM7awSNFm1tbe7sTPIaERERERHNSVKX7bZGbVlEKCIiIiIiIka9pp82PJosXb6CGbMWjHQYETFMujqyZ3NEREREf6Xy2k+SWkY6hoiIiIiIiGbV1MmrpHGSrpH0s9qnvbTNLFvkdPtug+sv38C4O0oaXzs+QNJHB/0BIiIiIiIimkRTTxu2vVbS/sDq8v0gYAdJBwNvAq6vdd9d0vWsW0G4t9+uAziodryqfCIiIiIiImIAmjp5BbD9DICkVmAmcCwwBZjK+pXpO22/p2yno3Lu//YcT9LmwAyqJHjXMt4WwLlD9hARERERERFjXNMnrwCStgLOAc4GtgXmUCWcZ9S6tZZ9Xl0+AL9tMNypwDvL38NsL5S0J7DjBu7dDrQDTJvSyqLJHS/8gSJi1Js+e/FIhxARERGxUWnq5FXSS4CPAy8HTrZ9n6RxwN7AgdQqr7YP6GOsScBc4Lu2l0g6B7hU0pGlS8P3i23PA+YB7DZt02y6GxERERER0UBTJ6/Aw8B8YBJwkqRXAq3APcCdwE2S3gEcBTxB9d7qNKrK68PAJsBmwJeApcB827cD2L5D0tHAo+VeTb04VkRERERExAvR1MmrbUtaAXydqgL7K6oFmaYD/wL8wvbVwNXd10j6IPC07X9tMOSysujTMttdth8q16wCHhnap4mIiIiIiBi7mjp5LSYAfwKW2l4JIGkZcC9VVfX5eilVVfZZtm8DbnuBcUZERERERDStpk9ebT8k6VvAlWUl4Vaq6cDftX1dg0v6M/33nFLR7d5WpwVYbPuE3i6asPWuTJ/d2f/gIyIiIiIimkTTJ68Atr8DfKef3X8MrOllrPOB8wcjroiIiIiIiKj0mbxK+hRVBXEN1UJF44BFwO7Ay4Cv2F41lEGOJrb/OFRjL12+ghmzFgzV8DFMujoOGekQIiIiIiLGnP5Mgb0JeA9wK/Be4N+AvYC3ACuAM4csuoiIiIiIiAj6kbzavgF40vbNtb97AWfb/jbw6iGOMSIiIiIiIppcf6YNbw1cImlPYJ6kVwFbAQ+ULi1DGN+QkjSOahucehJ/me15kmYCa2wvLH3nAH9Z+vzA9rmS3gq80facHuPuSLVdzupyfAAwzfZFQ/tEERERERERY1N/Fmw6gGr7l5eV472BJ6hW5V0JrB2a0Iae7bWS9gdWl+8HATtIOhh4E3A9gKS9gFW231aOvylpe+AZGi/e1AEcVDteVT4RERERERExAP1JXtcC59h+AkDSOcAy4A2SlrBuO5iNku1nACS1AjOBY4EpwFTWVWQfBf5C0lRgIrAN8DQNEndJmwMzqJLgXct4WwDnNrq/pHagHWDalFYWTe4YtGeL4TN99uKRDiEiIiIiYkzr71Y5rn0X8DXg8nL++MEOarhJ2go4Bzgb2BaYQ5VwngFg+y5Jl1A9t4HP275f0vQGw50KvLP8Pcz2wjLlesdG97Y9D5gHsNu0Td2oT0RERERERLPrT/L6EPBtSatL/3+3/RCwx5BGNgwkvQT4OPBy4GTb95X3YPcGDgTGSdoUmEVVZb0feIqqCrs78IvaWJOAucB3bS8pFepLJR1ZuvRnZeeIiIiIiIhooM/k1fYPgR8OQywj4WFgPjAJOEnSK6ne5b0HuBO4yfZTwOkAkj5INU3634HzgIOBb5extgLm274dwPYdko6mmnIMSV4jIiIiIiIGrL/Thsck25a0Avg6VQX2V1TJ6XTgX1i/snoScB3Vwk13A++Q9BZKBdr2MmBZWfRpme2uUqFG0irgkWF7sIiIiIiIiDGmP1vltFOtqruW6n3XceXziO1FkjpszxraMIfUBOBPwFLbKwEkLQPuBTar9XuL7bN7XHsb0NXj3EupKrrPsn1b6dt7IFvvyvTZnc8v+oiIiIiIiCbQn8rrfVTbvMwBPkaVwEKV0AK8ZgjiGja2H5L0LeBKSaKaNrwJ1bur19W6bi/pKqoFm9ZQ/Q6tVCsvf7THsOeUim73SswtwGLbJwzdk0RERERERIxd/Xnn9QoASZ+0fYukzW0/Vuuy0e7z2s32d4Dv9NHtNVVX9/q8ts8Hzh+s2CIiIiIiIuL5vfP6JUktwFckHW27e2psU2zvYnvNUN9j6fIVzJi1YKhvM6y6Og4Z6RAiIiIiImIM6M87r92r5C6hWpl3Ti1x7dcYERERERERES9EfxLP7YEO4PXAO23/B4Ck1wEvBv5s6MIbWiUxv5r1t7G5zPY8STOBNbYX9nL9PkCb7bN6nN+RasXh1eX4AGCa7YsG/SEiIiIiIiKaQJ97j9r+je33AK8FDpf01tK0PfBqqmrsRqm8v7o/sI/ttwMXAltIOhh4M7Up0ZI+K+kGSddImlNOP7GBoTt6HK8qn4iIiIiIiBiAfk/5LYs0nSjpQkmP2/7eEMY1bGw/AyCpFZgJHAtMAaZSkntJrwIm2H5LOf6MpD2Ap3uOJ2lzYAawg6Rdy3hbAOcO/dNERERERESMTQN5X/VEYCsASe+xvWhwQxp+krYCzgHOBral2hZoC+CM0uUJqq1ytijHO1OtTtzo9zsVeGf5e5jthZL2BHbcwL3bgXaAaVNaWTS5Z9F24zR99uKRDiEiIiIiIsaQPqcNA0h6S/d320/avqccHjMUQQ0XSS+RdAbVNN+TbXcBncDeVInrOADb/wVcCnwduBj4tu2lrD+teJKkLwNX2F5ClQxfKmlq6dLwt7Y9z3ab7bapk1qG5DkjIiIiIiI2dv2tvB4s6UbgMEDA122bjf89zoep3tmdBJwk6ZVAK3APcCdwU3dH2z8AfgAgaRNJO1EtWNVtK2C+7dtL/zskHQ08Wtr79R8KIiIiIiIi4rn6s1XONlTvdp5Ildi1AMcD/wIM+d6nQ8m2Ja2gqqh+HPgVsBqYTvV8vyjvwl4NrKT6HZ4GHgF+C9xF9XtgexmwTNJBVCsNd9l+CEDSqnJNREREREREDEB/Kq8XA/9OtfruB6gqr7dKWkZt2uxGbALwJ2Cp7ZUA5dnuBTazvQp4W6MLJc3gub/hS6kqus+yfRtw2yDHHRERERER0TT6k7x2V1dbqKqS46hW492GMTAV1vZDkr4FXClJVNXlTYDv2r6uj8vX0GDFYeCcUtFdXY5bgMW2T+htsAlb78r02Z3PK/6IiIiIiIhmoOrV1V46SPtSrZ77FNU02anAlrY/J+kntvcb+jCbQ1tbmzs7k7xGRERERERzktRlu61RW5+VU9s/BTYDzgLeBGxdvkN53zMiIiIiIiJiKPV3teEf2/4f4J+6T5QptpsOSVRNaunyFcyYtWCkw4jol66OQ0Y6hIiIiIhoIv16Z9X29xucFusqsBERERERERFDpr+V1+ewvRb44SDGMuwkjaPaBqeexF9me56kmcAa2wt7uf7twBttf77H+R2ptstZXY4PAKbZvmjQHyIiIiIiIqIJbPSrBb8QJQHfH9jH9tuBC4EtJB1MtTWQASTtIuknkn4m6WpJf1mGWEPj7YI6ehyvKp+IiIiIiIgYgAFXXscK288ASGoFZgLHUm0FNJV1yf3ngA/YfljSZOA7VCswr+45nqTNgRnADpJ2LeNtAZw7xI8SERERERExZjV98gogaSvgHOBsYFtgDlXCeUbpskmt+zhgbfm+huc6lSqxPRU4zPZCSXsCO27g3u1AO8C0Ka0smtyzaBsxekyfvXikQ4iIiIiIJtXUyauklwAfB14OnGz7vvIe7N7AgayrvH4auLRUZ1cBn+weoruPpEnAXOC7tpdIOqdcc2Tp23CKtu15wDyA3aZt2vumuxEREREREU2qqZNX4GFgPjAJOEnSK4FW4B7gTuAmANu/BPZrcP041iWlWwHzbd9errlD0tHAo7W+ERERERERMQBNnVDZNrACOI8qif17qgWczgL2ASZ295V0iqSX9RhiDeW9V9vLbN8u6SBJM8q5h8o9VgGPDPXzREREREREjFXNXnkFmAD8CVhqeyWApGXAvcBmtX7blr7Psn0rcGuP8V5KVdGt97sNuG1ww46IiIiIiGgeTZ+82n5I0reAKyWJatrwJlTvrl5X7wp8W9ITVO+6dvsP28f2GPYcSStYtxpxC7DY9gm9xTJh612ZPrvzBTxNRERERETE2KRqVmv0RdJ4ANvP2R5nsLS1tbmzM8lrREREREQ0J0ldttsatTV95bW/hjJp7bZ0+QpmzFowqGN2dRwyqONFRERERESMhKZesCkiIiIiIiI2Dk2dvEoaJ+kaST+rfdpL20xJB/bo/w5J15XPXr2Mu2P3NONyfICkjw7dk0RERERERIxtTZ282l5LtTXOPrbfDlwIbCHpYODNVIs0IelvJP0M+DjVVOsW4DhJP5b0hgZDd/Q4XlU+ERERERERMQBN/86r7WcAJLUCM4FjgSnAVEpyb/sK4IpSbT0IWAncDHy/JMDPkrQ5MAPYQdKuZbwtgHOH5YEiIiIiIiLGoKZPXgEkbQWcA5xNtZ/rHKqE84zS/nrgMOAG28eUc+8G5kn6vu0f1oY7FXhn+XuY7YWS9gR23MC924F2gGlTWlk0uWfRduCmz148aGNFRERERESMpKZOXiW9hGoq8MuBk23fJ2kcsDdwIDBO0r7AJ6j2bH2lpMOophOvoarMniDpGeAmYC7V/rBLJJ0DXCrpyHK7hlO0bc8D5gHsNm3T7FsUERERERHRQFMnr8DDwHxgEnCSpFcCrcA9wJ1UCeli4Hpgje01kt4OvNb2s9OAJQnYDphv+3YA23dIOhp4tHRr6veLIyIiIiIiXoimTqhsG1gBnEeVxP491QJOZwH7ABNtry3vxXZvmNpSPuuNY3uZ7dslHSRpRjn/ULnHKuCRYXmoiIiIiIiIMaipk9diAvAnYKntp22vBpYB9wKb1fp9oPxdDPyQDXspMLl+wvZttr83eCFHREREREQ0l2afNozthyR9C7iyTP9tBTahenf1ulrXXSRdATwDrCl9JwAn2V7aY9hzJK2gek8WqkrtYtsn9BbLhK13Zfrszhf+UBEREREREWNM0yevALa/A3ynj27TS1W2r7HOB84flMAiIiIiIiICyLThfutP4hoRERERERFDI5XXUWTp8hXMmLVgpMMYVF0dh/TdKSIiIiIiog9DWnkt74X2t2+LKi19935+Y0dERERERMTGbainDR8r6SeSrpT0o/L3J5KWSnp/z77ANcA3uk9I+rGk1nqnshXNT4Ev1869Q9KxteN+J8E9SforSZdtoO01Jf6fSPrLXsbYVtKk2vGrJX1+IPFERERERETEEE8btv1F4Is9z0uaBSwv398IfB54HHgMeHFJTv8PsNr2qtp1C4Dp5fCVkm4APgOsLZ9uuwBXSVpKtceqqZ61FTi6werA3eMvBF4P3Nrj/J5U+7w+CdxZxjtY0oeBaxtsgzML6ACeKMeryiciIiIiIiIGYNjeeZV0PPA12/8N7ATMh2oPVODtkt4AvBZ4GPip7Sck/b0k2XYZ5qNUW9V8HzjV9r+Xsffpcbs1VFvdHP98YrR9oKTtgLN6nL9J0m3AicBfUW19c0eJ4Yl6X0njgT2BH0iaRpWYbwL8+PnEEhEREREREesMWfIq6VXAzsDT5dRM4HeSngS+B/yVpP+w/VtJ7wQOBL4CvAy4FHg3IOCnkr5g+0e2n5L0XmAicLykTwKXAFsB82q3bynXDqaPUSXF76Oq8r4X+ARwao9+s4CPAMcD7bb3krRNOfccktqBdoBpU1pZNLljkMMePtNnLx7pECIiIiIiYowaysprKzAF2JRqmu0XqSqQk0pbC/Db0ncpsBp4Tbmms5y37X0AJE2kqmK2APsDHwbOBN4FvAnYrXbvp4DdJV0D/DlVsnk/MAE4xfa/DeB5Hge2L/dfW/4++85wqbieBiy1/YuSWH+jVJxXs4H3i23PoyTeu03b1I36RERERERENLshS15t3wXcVRY2+hCwA9V7n/8PuMT2f9b63iPpc8Bs4BXAWkkXAP9e67NS0lyqau5M4E/ATcDfUFVr76/1/R3wNgBJBwOb2f76C3yki4FjgFuAqcDXqJLnblsAP7d9be2ZjqB673UrsqduRERERETEgA3pO6+SZgBzgOOAu8vpvwDmSTrK9n/Uun+dqrJ6G1WldjfgfEln2H4awPb9ZZXi/Urs40vfScCGNkg1VeVzoM8wDpDtNcCXJN0L7Gh7bq2PbP8RuLYs7jTF9hW2H+1uB/4w0BgiIiIiIiKa3VAv2PQS4B7g//n/t3f/cVaWdf7HX+/5xUyKP7JIwS/4A1oWXGoDlQdrGWqrbGisUJaylEooX8gwxcoElVWjxkVF3HK0UPui7hhiIlmhZrb5FQT8gWmtJX1bNBcdNY1wGGY+3z/ue4bD4cwwwJmZc+a8n4/HPObc1/25rnPd3N09/Mx13dcV0ZpAPi3p1ySjkZnJawDPtSaqktaRrD7ch+3vzQL8Lcn7py9mLOTURtJE4MtpnZb0eyokTWH7VN87IuJ7nbyGkcANkhpJkuAWICSdmLZVRfIO76I0/gDgfZkNRMR/Azd28vvMzMzMzMwsi3Lkf/lrPBlxvAgYR5L0laW/V0TE9Vmxw0mm4b6H7Qsu3RoRS7LibgcGkaw6HGzfBueJiLgsa3Xi9vpERzF7Q9J4km1yNrJ9xLcMeD0izuqo7qhRo2LNmjUdhZiZmZmZmfVaktZGxKic57oyee0K6cJIkU7j7VWcvJqZmZmZWSnrKHnttn1e8yVj+nGv88LGBkbObu/V3d5jbe2Unu6CmZmZmZkVGa+Aa2ZmZmZmZgXPyWsGJcrSz7dIGpRxbqykn0lalFF2kqQv52hnSDq9ufV4vKTzurr/ZmZmZmZmvVXRTRvON0nXA8NbD0lWCv5w+rkxjbmAZG/Xx9Pja0i25mlvCnMtMCnjuCn9MTMzMzMzsz1Q8slrRMyS9B6gMSKaJd2fI+w2kuTzcuAJ4EGgGehPkuS2kXQAyfY6R6YrKF8AHAhc12UXYWZmZmZm1suVfPKa+gLwgqT/JMcIaUS8nSa4HybZ1/VXwN0kSWn2CktzSLYGmgOcHRH3SjoOGJLriyVNA6YBDNi/kmV9a/NyQYVo4Nz1Pd0FMzMzMzMrUn7nNdFCMpL6XuDZjPJ7JM2QtC/wfeAyYBMwMSJOBL7SGihpH0nfIdnD9jlgAbBE0nvTkJz/1hFRFxGjImLUe/cpz/uFmZmZmZmZ9QYeeU2UAwFsAX4o6R9Iks2JJIntD4DLIuLXwJo0oR2ZURegH7A4IlYDRMQ6STOBN9Pz/kOBmZmZmZnZHirp5FXSCOAakgR1DPA/wEvAr0mSzZaIeB34Z0lflPTbiNgWETel9Y8B3gCIiA3ABkmTgA0RsTYiNqVxTa1xZmZmZmZmtvtKOnmNiGeB8bnOSfoCOy7G9E8RcUtW/dXA6qyqBwOvZ8WtAlbtbX/NzMzMzMxKVUknr7tQxs4rCd9P8m5sc3q+CngtIs7OqrtAUgPbt9IpB9ZHxEUdfWHVIcMZOHdNPvpuZmZmZmbWqzh5bUdE/EtW0ekREZ2otwhY1DW9MjMzMzMzK01eRKiTOpO4mpmZmZmZWdfwyGsBeWFjAyNnZ28ba9a7ra2d0tNdMDMzM7Mi4JHXdkiq7uk+mJmZmZmZWcLJKyDpPknKOBawrIP48vT3itbPWeeHSKrIOB4v6bw8d9vMzMzMzKxkeNpw4ijgIUlbSVYYrgT2aT0p6RVgPRAkKwf/B3Ar0BQRzTnaqwUmZRw3pT9mZmZmZma2B5y8Jl4AppBsbSOSBHVJxvlnI+KUHPV2SlwlHQCMBI6UNBy4ADgQuC7fnTYzMzMzMysVTl4TPwM+T5KMtiav9Rnn26ZXp+/CHgK8DpRJuha4OyJaN2idA4xLf58dEfdKOg4YkuuLJU0DpgEM2L+SZX1r83ldZgXvj/Ny/29+4Nz13dwTMzMzMytkJZ28ShpHMjLaCGxle/JaBfSRNJlkz9b3S3ooPf8m8HvgO4Ai4uK0rX2Aa4F7IuI5SQuAJZLOT78u5/vFEVEH1AGMGFDj7XjMzMzMzMxyKOnklWTE9Sete7imyWpZRNyRLtpUCTRHxH25Kkt6KeOwH7A4IlYDRMQ6STNJkl3w4lhmZmZmZmZ7rKST19bFliTNjYh5wBuk/yZpQrs1PV8JXAOMIEloW0jej70/o60NwAZJk4ANEbE2Ijal9ZvSts3MzMzMzGwPlHTymuEfACLix+2cHwPURMTJrQXpyOwjku6IiL9kxB5M8j5sm4hYBazKb5fNzMzMzMxKh5PXxBBJK0lGVCGZ4lsJnBURLwNPAJ+W9PP0fBPJok4PZiWurRZIaiAZnSWNXR8RF3XUiapDhjNw7pqOQszMzMzMzEqSk9fE4IhoySyQVN46rTgiGoGZnWkoIhaRLPJkZmZmZmZmeeLkFchOXNOynfZw7WovbGxg5Ow7uqTttbVTuqRdMzMzMzOz7uAVcDNIqkjfZTUzMzMzM7MC4uR1R98GruhssKQTJH09R/kQSRUZx+MlnZefLpqZmZmZmZUeJ68pSecCfwbekPTprHPDJP1U0iOSfibpmPRUMxA5mqvNOm5Kf8zMzMzMzGwPlPw7r5K+AhwFrIyIK9OySZIWAy8Dc4B/JVl5+HVJfYF6YBzbVxPObO8AYCRwpKThwAXAgcB13XE9ZmZmZmZmvVHJJ6/AzRGxObMgIn4I/FBSRUSEpOqM02Vs31In16JOc0gS2znA2RFxr6TjgCG5vlzSNGAawID9K1nWN3vQNl+8YJOZmZmZmRWvkk5eJY0DZuRYo6mcZJ/XakkLgW8ASyRVkkz/bX3PVaRTryXtA1wL3BMRz0lakNY5P43NOUU7IuqAOoARA2pyTUE2MzMzMzMreSWdvAKPAquArenPaUBlRNyVI/bkHGVlbE9K+wGLI2I1QESskzQTeDMj1szMzMzMzPZASSdUEbElIt6IiL9ExNa0OOe/iaTLJPXPKm4mfe81IjZExOr0fdmRadmmiAiS0do3uugyzMzMzMzMer1SH3nNpaqd8kHZ5yLiCeCJrLiDgdez4laRjPCamZmZmZnZHnDyuqNttD8aHcCdkjaTvOva6vmIuCArdoGkBravRlwOrI+Iizr68qpDhjNw7po96LaZmZmZmVnv5uQ1Q0Tc18Hp/53G7LQ9TlYbi4BF+eyXmZmZmZlZqXPy2km7SlrNzMzMzMys6zh5LSAvbGxg5Ow7erobBWVtrfenNTMzMzOzEl9teG9J8r+fmZmZmZlZN3DylYOk+yTttOqwpAeyin7UTv0hkioyjsdLOi/P3TQzMzMzMysZJZ28Sjpe0qOSHpF0v6QPpKfa9m/NiK0ABkvKXGk42mm6Nuu4Kf0xMzMzMzOzPVDSySvwNeCTEXECcCVwaVreHBEtWbGTSBLaz2WUKSsGSQcAI4EjJZ0u6VHg20B2e2ZmZmZmZtZJpb5gUznJKCvp7/L0c4uk+cCPIuL/ShoEnA8cD9RLejYingOqJD0MfDMiHkrrzgHGpb/Pjoh7JR0HDMnVAUnTgGkAA/avZFnf7EHb0jVw7vqe7oKZmZmZmRWIUk9ebwB+Luld4G3gi2m5gMsiYpukjwALgc9HRIOkScB3JNWSjNCeDCBpH+Ba4J6IeE7SAmCJpPPTNnOOckdEHVAHMGJATXvTkM3MzMzMzEpaSSevEbECWJHjVGai+RTwTxHxdlrnTeCzsNNqw/2AxRGxOo1bJ2km8GaONs3MzMzMzGw3lHxCJWmypCOyin9PuhhTJN6W9O0c1R9v/RARGyJitaRJkkamZZsiIkgWa3qjiy7BzMzMzMys1yv55BUYDOyXWRARX4uI5qy4nd5ZjYh5Odo7GOibFbcqIpbubUfNzMzMzMxKVUlPG06VAddL+jNQCVSnv2+KiLsz4v5e0kNZdauAiyLiyazyBZIa2L7dTjmwPiIu6qgjVYcMZ+DcNXt6HWZmZmZmZr2Wk1e4iiS53EbuLXJaHUkylTgiItL3XUXWFjgRsQhY1IX9NTMzMzMzKzkln7xGxNZOxjVnHed939YXNjYwcvYdu1Vnbe2UfHfDzMzMzMys4PidVzMzMzMzMyt4RZe8SqqQ9C1Jv5D0c0mPpL/P60TdL0qanKP8KEkDM47/QdIVOeIeyTo+XdIFOeKGSKrIOB7fmf6ZmZmZmZlZbkWXvALjgIqIOD4ixkbECcBJwImSPgggaZCkn0h6VNIdkqrTuo0k76lmmwqMyTjeKU7SfsBoSfspUQY0A7mmHddmHTelP2ZmZmZmZrYHijF5XQsMT0dRx0o6ATiHJNn87zTmWuCCiPg48CQwLS3PlZTWAB8DPpFRHCSJaaYLgGXADOCDwErg8uzOSToAGAkcmY7MPgp8m6yFnczMzMzMzKzzim7Bpoh4RdIngY8Ag0iSwieBWyMi0rADIuK/0s8/AG4GFqax2Qn7fOCrwGmSPh4Rj6ZxbcmmpPHAMOAs4F7gtYg4UdKpwICs9uaQjA7PAc6OiHslHUeOfWLTtqeRJtcD9q9kWd/sQdtd8YJNZmZmZmbW+xVV8irpZODLbE8uW0hGUsuBCknvAS5hxwR1G8lIKulvpW29B7gBeDoiVkp6HLgznWL8Wkbc4cAZwDnpFjmfSY8BNgNvpnH7kIz43hMRz0laACyRdH4am3OUOyLqgDqAEQNqDMJ7dwAAG4dJREFUIleMmZmZmZmVnqamJjZu3Mi7777b013Ju+rqag499FAqKys7Xaeoklfg58DjJAnpNuBMoCUifpAZJOlNSaMiYg1wOrA6PdW6NytAJfCDiHgMICI2SzodqAaOIkmIiYgNwL9IOlnSYSTvrkY6YvpB4Cdpe/2AxRGxOq23TtJM0uSW4pyibWZmZmZmPWTjxo307duXww47DCnX0j3FKSJoaGhg48aNHH744Z2uV1TJa7ona9sCSZJa2D6qmukrwGJJ5cAfgdaVfsvSHyLiz8Bjkj4KvBwRL6V7uW6WVMnOyeYHSRLhYPv040NIpiy3JrkbJE0CNkTE2ojYlPazCXhjb6/fzMzMzMxKx7vvvtvrElcASRx00EG89tpru1WvqJLXHMpJRmB3EBF/BE7MEZ858tpqLPAL4KWMsseBX2XFHUbyDusfdtGng4HXs/qzCli1i3pmZmZmZmY76G2Ja6s9ua5iT14372b8WznqlAP/JmkT20dUK4HfAF/KiKsgeSf2HZKEuRyoIZl6fGtWmwskNbA9sS4H1kfERR11ruqQ4Qycu2Y3L8nMzMzMzKxrta6N29zcTEVFz6SRRZ28RsQ9uxn/4xzFV0TEDlvepHu4Zv8p4MKkiehwUaWIWAQs2p1+mZmZmZmZdZVzzjmHCRMmcNppp+10bv369TQ0NFBdXc3o0aMBmDBhAnfffTfV1dVtcTfccAPLly9n6NCh3HTTTQCMGzeOFStWUFbWPcv7FHXymg+5ktGI2GlP1lxlZmZmZmZmhWzJkiVUVFRwyy23cPDBB3PMMccAyUiqJLZu3cqWLVt2qLNt2zaqqqp2KJs1axazZs1qqwtQXl7ebYkrOHktKC9sbGDk7Dt6uhtdbm2t96Y1MzMzM+sqEcFtt93G8uXL+ehHP8rNN9/M5s2bufLKK5k7dy6nn346I0eOZPbs2VRXV1NVVUVzczPz58/njDOSXUFb30ndtGkT06dPp7m5mSeffJKjjz6aqqoqLr/88o660CWcvO4hSWUejTUzMzMzs0IjiTFjxnDmmWfSp08fAPbdd19qa2tpbGzkrbfe4gMf+ACPPPIIy5cvZ/Xq1QwaNIizzjqLmpoali5d2pa89uvXj6VLlwIwbNgw6uvrdxqV7S4lnbxK6gtcRrKv63rgWxHxpqQzgaqIuC0j9oGIGJ9R/UfAqTnaHEKyVc629Hg8MCAibu66KzEzMzMzM0vceuut3HnnndTU1NCnTx/69OlDWVkZzc3NNDY28vbbb3PhhRfyzjvv8Lvf/Y5LL72UZ555hpkzZ/K9730PSZx44olMnTqVz33ucwA89thjDB06lPr6eiZPngxAY2Mjxx9/PBdffDGnnrpTapR3JZ28AtcDDwBXAKcANwFnAs3pDwCSKoDBkpTxjmx7CzfVApMyjpvSHzMzMzMzsy43depUpk6dusu4q666imHDhlFTU8PgwYN58cUXASgrK+Phhx9ui3v11Vepq6ujvr6eadOmMXjwYEaPHk1VVRUrV67ssuvIVurJ6wERsSz9vEzSF9LPLeyYnE4i2fbmc8CdadlOGxNJOgAYCRwpaThwAXAgcF3+u25mZmZmZpZbU1MTc+bM4ZlnnqGpqQlJVFRUMHbsWC655BIApk+fzpQpU7jxxhvZsmULV199NZBsh9PqqaeeYt68edTV1VFRUcHChQuZMWMGgwYNYhcbseRdqSevr0g6FVgJnMj2PWDLWwMkDQLOB44H6iU9GxHPAVWSHga+GREPpeFzgHHp77Mj4l5JxwFD2uuApGnANIAB+1eyrG9tXi+wkAycu76nu2BmZmZmVhKeeOIJXnvtNR588MG2sohgzJgxTJ48mf79+3PQQQexYsWKneq2tLS0rUY8YsSItinIkLw7e/vtt3fbdWQq9eT1EuBrJMnpb4CZaXkj0CLpI8BC4PMR0SBpEvAdSbVAc0ScDCBpH+Ba4J6IeE7SAmCJpPPT9tpdPzoi6oA6gBEDarr3TxdmZmZmZtYrHXvssaxYsYJTTjmFbdu2AVBRUcHEiRPp379/h3WbmppoaWmhvLyc8vLytsQ1W+tiUN2lpJPXiNgi6ZfACyQJ68ckVQJ/C6wCngL+KSLeTuPfBD4LyWrDGU31AxZHxOo0bp2kmcCb6fnu2/zIzMzMzMxKXlVVFfPnz9+jup19j3XZsmW7Dsqjkk5eU0cDJ5O809qqP/CHdHGmtyV9OyIuyar3eOuHiNgAbEhHZjdExNqI2AQgqQl4o0uvwMzMzMzMrJdz8gqDgXNJks729m3d6Z3ViJiXI+5g4PWsuFUko7hmZmZmZma2h5y8JqsG3w78VVJr8loF3BcRC9Pjv5f0UFa9KuCiiHgyq3yBpAa2j+SWA+sj4qJddaTqkOEMnLtmjy7CzMzMzMysNyv55DUizslVLilzK5wjSbbOiYiI9H1XkWypk9nWImBRV/XVzMzMzMysVJV88tqeyNi0KCKas861N714r7ywsYGRs+9o9/za2ild8bVmZmZmZmYFz6vgmpmZmZmZ2V6LCCKibWuefHPy2kmSypUo7+m+mJmZmZmZ9YRzzjmH+++/P+e5G264gZNOOokvf/nLbWXjxo2jpSU/E1dLetqwpH2AHwFNJAsrNQF9gInAncBpGVOGLwDGA38CJqf1H0xjmrLaHUKyevG29Hg8MCAibu7yizIzMzMzs16po1cM98Tuvpa4ZMkSKioquOWWWzj44IM55phjdjg/a9YsZs2aBSSjsADl5eWUleVnzLSkR14jYjPwjxExDnh/RHwyIk6KiD8np6NZ0rGSHgHGAm8B+0laKekcYFt24pqqzTpuSn/MzMzMzMyKRkSwePFiTj/9dDZt2sTNN9/MXXfdxT333MMpp5xCXV0dmzZtYuLEiUyYMIEBAwYwYcIEzjjjDJ5//vm89qWkR14hWXxJ0oeBAZKOzt76Jt2n9QRJRwMfItnHdWVEbJY0UZIyF3eSdAAwEjhS0nCSEdsDgetyfb+kacA0gAH7V7Ksb3bem8kLNpmZmZmZWfeRxJgxYzjzzDPp06cPAPvuuy+1tbU0Njby1ltv0a9fP5YuXQrAsGHDqK+vp6qqKu99KfnkVdJ+JCOlHwdqJc2IiD8AFenertcDzcDpwHeB/sASYALJdjkrJV0fEQ+kTc4BxqW/z46IeyUdBwzJ9f0RUQfUAYwYUBO5YszMzMzMzHrCrbfeyp133klNTQ19+vShT58+lJWV0dzcTGNjI2+//TYXXngh48eP57HHHmPo0KHU19czefJkABobGzn++OO5+OKLOfXUU/eqLyWdvKYjrtcAX4uI5yVNBb4r6UsAEXFSGncYsA34O2B/YE3aRGTE7ANcC9wTEc9JWgAskXR+GlvSU7TNzMzMzKz4TJ06lalTp+4y7tVXX6Wuro76+nqmTZvG4MGDGT16NFVVVaxcuTIvfSnp5BV4Hvhn4ChJNwJHpOWz03MARMQfJP0rMBc4HGiRdBPwVEZb/YDFEbE6rbNO0kzgzfS8k1czMzMzMys6TU1NzJkzh2eeeYampiYkUVFRwdixY7nkkkt46qmnmDdvHnV1dVRUVLBw4UJmzJjBoEGDyHjDcq+VdPIaEVslHQIsBKYDLwItwDDgRknvi4jX0/DvA98EVgEBjAAWSboqIt6NiA3ABkmTSFYaXhsRmwAkNQFvdOvFmZmZmZmZ5cETTzzBa6+9xoMPPthWFhGMGTOGyZMnM2LEiLapxZC8E3v77bfnvR8lnbymqoFNwK9bt8WR9ExadgDJAk2QJKzPRcS7acw6ktWH+wDvZrR3cEadpGKy6NOqXXWk6pDhDJy7ZldhZmZmZmZWgnZ3a5t8OfbYY1mxYgWnnHIK27ZtA6CiooKJEyfSv39/gLbENVvrIk/5UPLJa0RskPRT4FeSmoFGoBK4NyJ+lxF6MfB9Se8h2RNWwK3ptjrZFkhqIHlPljR+fURc1GUXYmZmZmZm1gWqqqqYP3/+HtVdtmxZ3vpR8skrQER8l2Ql4Y5ifg18qhNtLQIW5alrZmZmZmZmhpPXgvLCxgZGzr6jp7uRNz01rcHMzMzMzHqfkl8BV1KZpJ3+HSRVSFJP9MnMzMzMzMx2VPLJK/B54GFJP5b0gqR1klYCDwFHd1RR0oPtlA+RVJFxPF7SeXnttZmZmZmZWQkp+WnDEbEYWCzp/STb4fwFOD9zISZJXwI+AzQDm4FzI+JVdlxlOFMtMCnjuCn9MTMzMzMzsz1Q8slrui/rWKAvcD5QQ7JacCNwN/Ay8HHgYxERkkYDXwUuTOtXAi0Z2+wcAIwEjpQ0HLgAOBC4rjuvy8zMzMzMrDtFBADNzc1UVOQ/1Szp5DV9p/Vx4OGIeDPj1LmS9ifZDmc/kv1eq0i20XkfsCWNqwS+DjwArEvL5gDj0t9nR8S9ko4DhrTTh2nANIAB+1eyrG9t/i6wBw2cu76nu2BmZmZmZnmyfv16GhoaqK6uZvTo0QBMmDCBu+++m+rqagBuuOEGli9fztChQ7npppsAGDduHCtWrKCsbO/fWC3p5JVk65tZwBZJTcCRQAPwFkli+h7gW8DtwEpJLcB/AzPS+k0RMQ9A0j7AtcA9EfGcpAXAEknnp7E571ZE1AF1ACMG1ET+L9HMzMzMzHqDP877u7y215kBp4hAElu3bmXLli07nNu2bRtVVVVtx7NmzWLWrFlt9QDKy8vzkrhCiSevEXEfcF/rsaRrgJ9FxKM5wnPtYXNPxud+wOKIWJ22vU7STKB1RNeLY5mZmZmZWVFZt24ds2fPprq6mqqqKpqbm5k/fz5nnHEGAJLYtGkT06dPp7m5mSeffJKjjz6aqqoqLr/88rz2paSTV2h7Z/U64ENAAB9Ny+6OiOszYq4CBpOMyLaQLN70UGs7EbEB2JC+Q7shItZGxKa0fhPwRvddlZmZmZmZ2d4bOXIkjzzyCMuXL2f16tUMGjSIs846i5qaGpYuXYok+vXrx9KlSwEYNmwY9fX1O4zI5otHA+EYYJ+I+GhEfCwiPgocB3xW0r5pzCigLCImRsRpETGBZDXhMyRl35WDSRZ/ahMRqyJiaRdfh5mZmZmZWd7dddddPP3001x66aUcddRRzJw5E0hGXU888UTuuusuAB577DGGDh1KfX19W93GxkaOP/54li9fvtf9KPmRV2A1MFHSwyQLNLWQjMDWR8Rf0pg1wKck/YztCf824P9ExNYcbS6Q1JDGAJQD6yPioo46UnXIcAbOXbN3V2NmZmZmZpZHv//97xk2bBg1NTUMHjyYF198EYCysjIefvhhAF599VXq6uqor69n2rRpDB48mNGjR1NVVcXKlSvz0o+ST14jogn4SidivtbJ9hYBi/LQNTMzMzMzsx43ffp0pkyZwo033siWLVu4+uqrgWRLHICnnnqKefPmUVdXR0VFBQsXLmTGjBkMGjSobeGmfCj55NXMzMzMzMzad9BBB7FixYqdyltaWogIRowYwZ133klNTQ0A++67L7fffnve++HktYC8sLGBkbNzLWq8s7W1U7q4N2ZmZmZmVkg6s7VNd2pqaqKlpYXy8vK2xDVbnz598vZ9Tl7NzMzMzMxst3XmXdZly5bl7fuKYrVhSR+W9JCkn0v6kaSBWednS3pA0g930c6wrONrJf1NxvEX0u95VNLPJB2xi/YOk3RLxrEkVUpSRtlZksZL+kdJ0zt7zWZmZmZmZrZdsYy81gETIuIVSUcBdZLGAZcAg4AtwHMk+eP1wHuAuRHxamsDaUI5Hzgto92m9KfVn4CTI6JZ0pg0/jPp538HWtsrA6YDjSQrFLf6EMmesVvTxHdSej5IVjF+d6//JczMzMzMzEpQwSevkt4H/E9EvAIQEc9J+i/gQxHxrXTk9ELgMOAd4O529lQ9CThMUjlwOfAx4HDg5taAiPhpRvz/A1r3cK0AlkREbVbfDiUjeY2Ip4Gx6bkbgZeAvyNJXpvTHzMzMzMzs06JCDImdvYae7IKccEnr0ADMFDSERHxkqTRwCeAx4CnSZLPC4DfAO8FbpL0bES82NqApH2BTwMzgW9ExNy0/DJ2HDltjd8/bXduWtSafGbHAIySdHVEfCPjXDlJ4rsY+BuSEeLW0dfs75oGTAMYsH8ly/rWZoe0wws2mZmZmZn1ZtXV1TQ0NHDQQQf1qgQ2ImhoaKC6unq36hV88hoRIekc4N8lVQCPA/cCb6UhjcB+JMkhJNfU9i6vpMOAbwEXptOOj5R0bURcnIbs8N6vpJHAZcAlEfF8WlwJ/G9Jn0rjm4EXgSuBNZmJa+p84L6IeFDS5Fzfk3F9dSTTohkxoCZ/myCZmZmZmVlRO/TQQ9m4cSOvvfZaT3cl76qrqzn00EN3q07BJ68AEbEWOKX1WNLjwI3p4bnAV4FfAj8Gbo2I32ZUHwTMiog/pW0tlvSBjPOZie6ngFOBz0VE5vupjwHDI6Ixs1/ptOHyrLLjgGERcZOknwL/C/hKdpyZmZmZmVlHKisrOfzww3u6GwWjWFYbPjLj8xeBNUCDJEXExoj4EnAf8PmI2GEt5oj4RUT8SdK8dOSWiPif9PSbwNa03UqSRHhaVuJKRGwDDpA0I0f3MpPfGcA5wEVpvZOBb2bHmZmZmZmZ2e4pipFX4FhJNwP7A+uALwOXAp+Q1AhsI0kOb0/fNy0H+gBfiIiX0jaGpUlom4i4KeNwCPBh4JGM+eR/iYjx6ecq4O+z6m+U9IWMoiVZbcL2pFUUz7+3mZmZmZlZQdGerPJUjNI9YA8kSXRbF06qAO6IiB90ov7hwH+SJM8iSWb7pL/PykiSs+uNAt4GjgAOjYhb2/uOUaNGxZo1azp9TWZmZmZmZr2JpLURMSrnuVJJXvdWuk8s0YX/YJLeAX67y0ArBu8DXu/pTlje+H72Hr6XvYfvZe/he9l7+F72Hj15LwdFxPtznfA01k7qyqQ1w2/b+yuDFRdJa3wvew/fz97D97L38L3sPXwvew/fy96jUO+lFxEyMzMzMzOzgufk1czMzMzMzAqek9fCUtfTHbC88b3sXXw/ew/fy97D97L38L3sPXwve4+CvJdesMnMzMzMzMwKnkdezczMzMzMrOA5eTUzMzMzM7OC5+S1m0n6gKQHJa2StFJS/3biLpe0RtI6SRO7u5/WOZ25n5KulfQrSY+mP0t6oq/WOZK+Lun8Ds772SwSHd1LP5eFT9IYScsl/VzS45JObifOz2SB68y99DNZHCTtI+l6SQ9I+qWkpZL2ayfWz2YB6+y9LLRn0/u8dr9/A66IiFWSRgHXAmdmBkgaBxwUEaMkVQMrJP0iIrzpc+HZ5f0k2eT53Ij4Tbf3zjpN0gBgKXAkMKedGD+bRaAz9xI/l8WgHDgzIt6RdCDwC+CnmQF+JovGLu8lfiaLRTWwOCKeAZA0A5hG8t8/bfxsFoVO3UsK7Nn0yGs3knQAyYO8CiAi1gD7p+WZpgLz05h3gVuAz3VnX23XduN+WhGIiJcjYjQwu4MwP5tFoJP30gpcRPwyIt5JD98CtkhSVpifySLQyXtpRSAiGjKSnUqSPxK+kCPUz2aB2417WVCcvHavw4HfZZW9lJZn+kBEvJJx/CIwuCs7Znuks/cTYFY6LeNRSZ/p+q5ZF/Gz2bv4uSwCkspIRgK+FztvkeBnsojs4l6Cn8miIOmfJf0C+D3wQeBXOcL8bBaBTt5LKKBn09OGu5eAXP9n3Zn9irynUeHp7P28FdgSEWvTdwnul/RsoUy/sL3mZ7M4+bksApL6ATcAd0fEjzpZzc9kAerEvfQzWSQiYhmwDEDS6cB3gc92pmpX9st2XyfvZUE9mx557V5/YOe/Oh2Rlmd6XdLBGccfZOcRPut5f6AT9zMi/jMi1qaf3wZWAMO6oX+Wf342ewk/l4VP0hHAYmB2B4mrn8ki0Jl76WeyOEXEvcBhOU752Swy7d3LQns2nbx2o4h4A/irpI8ASBoBNABVkm7KCL2d9F0tSVXAFOCubu6u7UJn76ekkel9JP2L1SeBVT3QZdtNkvr52ewdsu+ln8uicAVwTkRsbC3wM1m0rmAX99LPZHGQdJCkkzKO/wX4lZ/N4tPZe1loz6anDXe/WcD3JO0L/Bk4G+hLMmIHJEP4ko6RtIpkisU1EdHQI721Xdnl/QT6A9dIKieZanxFRLzc7T21PeFns/fwc1l8xgD/kbWuz3n4mSxGu7yX+JksFn8FPiPpGmAz8FvgK8Ah+NksNp26lxTYs6nc78ubmZmZmZmZFQ5PGzYzMzMzM7OC5+TVzMzMzMzMCp6TVzMzMzMzMyt4Tl7NzMzMzMys4Dl5NTMzMzMzs4Ln5NXMzMw6TVKFsvY8MTMzyyTp65LO30VMH0m3SHpU0i8lfXpX7Tp5NTMzKyGSTpD09Yzjb0n6efpzYVr2cUlfbaeJbwNXdENXzcysyEgaIOkJkj1jd+WrwJqI+DjwCWCypKM6quDk1czMrBeSNEzSTyU9Iulnko5JTzUDkcYcDzRFxNiIGAt8RNIRwNY0LrvNc4E/A2905i/kZmZWWiLi5YgYDcxuLZNUJekmSSslPSxpcHrqGOCHab13gSuBqR217+TVzMysd/pX4KyIOAGYSPIfBQDbMmLeBIZKeq+kQ4BDgXeBlsyGJH1F0veBv0bElRFxAxCSFku6ytOIzcysA5cAqyPiE8AXgevS8meByQCSDgRmAINztpCq6MJOmpmZWc+pzvhcxvaEtG1ENSKelXQbcCvJaOw3I+IVSQOz2ro5IjZnFkTED4EfSqqIiMh7783MrLc4Fdgi6ez0eP/091XAv0n6BfAycBswpaOGnLyamZn1Tt8AlkiqBJqA1vdcBZRJqiGZ1tUCvAJsIRmF/TDwZGsjksYBM3IMrpYDlUC1pIURUd+VF2NmZkWrCTgxInZ4HSUi/gpMbz2WNANY11FDTl7NzMx6oYh4Gjg5x6kyoCwitgDzACRNJplO/BRwI/BZ4M40/lFgFcl7sFuB04DKiLirK/tvZma9xo+B84B/l1QOnBsRdZLeB2yLiLckHQ6cDRzfUUN+59XMzKyXknSZpP5Zxc1kvPcq6RLgv4DfRsRvI+IfgVmkf+COiC0R8UZE/CUitqbV/N8PZmbWWbXA36TTgx8iWfgPoA9wZ1p+G0lSuzl3Ewn5NRUzM7PeSdItwNUR8YcOYh6IiPFZZX2Ailz/ESFpEtA3Ihbnu79mZmYd8bRhMzOz3itI/qq9meRd11bPR8QF6ecjJP0kjW1O4yqBDSTTvLJtwyOvZmbWAzzyamZm1ktJap36u62DmPIkJFraizEzMysETl7NzMzMzMys4Hnaj5mZmZmZmRU8J69mZmZmZmZW8Jy8mpmZmZmZWcFz8mpmZmZmZmYFz8mrmZmZmZmZFTwnr2ZmZmZmZlbw/j+WVrW6SWaP8wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.barplot(data=df, x=\"인원수\", y=\"호선명\", ci=None, estimator=sum, hue=\"승하차\")\n",
    "plt.title(\"호선별 합계 인원\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff701d81910>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "plt.xticks(rotation=80)\n",
    "sns.pointplot(data=df, x=\"시간\", y=\"인원수\", ci=None, hue=\"승하차\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff6625f3490>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "plt.xticks(rotation=80)\n",
    "sns.pointplot(data=df_192021, x=\"시간\", y=\"인원수\", ci=None, hue=\"연도\", estimator=np.sum)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* https://en.wikipedia.org/wiki/Small_multiple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7ff6615e6b90>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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00De+lBzvX16/eCm1gaskDYyziSsQCG/vjlzW4bQwnr7xpSBrGB+PSd33S195m/T57c7X7vulRDytTU0/lfEAAAAAEFoVxT4BBMza5VXGe21qJCeMX3NVfs8LeXXct3nr1lwr4xtSlfGDVMYDwVjOOkwYX3K8ML6ppkLNdZWpiXhMeuR90guPpY6NnpZ6npJe+b7W/OqXk4dpUwMAAAAA4UVlfNjNTkhxt9q5rm3p92v1VcZfYBPX1e74YCqMz7VNTXplPCEQkHeJuDQ94oxzahe2VZLb0oY2NSXBC+M3t8+rij/8QHoQ7/fCY2p95VuqjDp/1+dpUwMAAAAAoUUYH3ZeNaa0gsp4wvjVzt+mJtfKeH8YP0ibGiD/pkckWWecyzpcWSO1dDljwvhVb2RqTsOTc5IytKg5dH/W+5pDf6dOdy2mMh4AAAAAwoswPuyWHcb7e8YTxq92XpuaNY3VaqjOrftUGxu4AsFa7jospVrVDJ+UYlwsW8160vrFz7soOtKb/c4jp9XZVCOJDVwBAAAAIMwI48NuuSFQdYNU1+6MaVOzqsUTVicHnRAo181bJamqIqLmWqe3cT+V8UD+eZu3SssP421CunAib6eE/OvJtnlr88bsd27epLWNTmX86HRM03PxfJ8eAAAAAGAVIIwPu6mh1Lg2h57xUqpVzfCp/J0P8u7M8JRm4wlJ0iWduYfxktThbuLKBq5AAPJRGS/RqmaVO5UtjN99V/Y777lLa5pSLcP6aVUDAAAAAKFEGB92KwmBvFY108OpzQex6hwb8PWLb19eGN/u9ioeGJ+RtTYv5wXAtaIw/nWpMWH8qpY1jN91h3TlOzPf8aqbpJ23a01jTfJQ3xitagAAAAAgjAjjw24lIVCrr288rWpWreP948nxctrUSEpuHDg9l9DkLO0RgLya9rWpqWnJ7b7+yvih1/JzPgiEF8ZHI0brW2rSJyNR6Zc+dfGdLnub9K77pEhUaxpTlfF9o1TGAwAAAEAYEcaH3Yoq4zenxrSqWbVODKaqMVfapkZiE1cg71ayDjd3SVH353OQMH4183rGb2ipUWU0w69Xfc9ffGxq2AnqpbQ2NX20qQEAAACAUCKMD7vJlXsR5VwAACAASURBVITxW1PjYSrjVyuvTU3ESF3zWyMskdemRpIG2MQVyK+VhPGRqNS6zRnTpmbVisUTOn1hSlKGFjWe88+lxlUNztcz3dKss4b729ScH6VNDQAAAACEEWF82OWrMp42NavW8QGnTc2m1jpVV0SX9RgdaWE8FZlAXq1kHZZSrWrGzkoz49lvi6I4OzKtWMLZb2PBMP6cL4zfebvzNRGTep6WpPQ2NVTGAwAAAEAoEcaHnRcCVTVIFVXZbzsfbWpWvZlYPFmNudx+8ZLU7mtTM0hlPJBf/jC+pjn3+/s3caVv/KrU49u8dcFPKHmV8S2bpSt/NXX8xI8kOZ9QihjnEGE8AAAAAIQTYXzYeSHQcqoxK2ukhnXOmDY1q9KpwUlZpxhzRWE8lfFAgLx1uLpZilbkfn//Jq60qlmVTvnC+IyV8VMXpJEeZ7z2Wqnreini/ls4+aQkZ+NXby3uo00NAAAAAIQSYXzYTQ05X2tblnd/rzp++JSSqS9WDa9fvLTSMN5fGU8YD+RV8qLoMtfhtDCeyvjVyB/Gb2nLsBafP5oar7tGqqqXNuxxvj99UJp17u9t4tpPZTwAAAAAhBJhfJhZ6wuB2pb3GK1bnK+z49LkUH7OC3lzIm9hPBu4AoFZySeUJML4ErBoZby/X/zaa5yvW9/sfE3MSacPSEpt4jo4Mau5eCKQcwUAAAAAFA9hfJjNTUpxN1hdbgiU1jf+xIpPCfl1PE9hfF1VVDWVznLQT2U8kD/WSlPDzni5lfENa6SqRmdMm5pVyesZ31RToea6yotvcP5nqfE6N4zf8pbUMbdVjX8TV1qGAQAAAED4EMaHmX/TwGWH8VtSYzZxXXW8NjVVFRFtaKld9uMYk+pVTJsaII9mJ5zKZ2n567AxUvslznjwFVqGrUJeZfzm9gU2b/Uq46sapJatznjz9ZKJOmN3E1d/GN83yloMAAAAAGFDGB9m+QjjW31h/AU2cV1tvMr4re11ikbMih6r3Q3jaVMD5FE+1mEp1apmeoSWYavM6PScLkw6F1wytqiJx6S+F5zx2u1SxP3Vq7pR2rDLGZ8+KM1Nq7OpJnm382ziCgAAAAChQxgfZv7Apm6ZPePT2tQQxq8WsXhCX//xieQmf32jM3r4QI/iieVXzHa6m7iOTM1pNkavYiAv8h3GS7SqWWVODab6xXdlCuMHX5XibpW71y/es9VtVROfkXoPplfGs4krAAAAAIQOYXyY5SMEau6SjPvPhDY1q0IsntDd3zikP/3e0eSx4ak5feJbR/SRv+9WbJmb/rXXp0KgoQmq44G8yMc6HI9JY+dS33/nP0rd90uJ+MrODXnRs9jmred9m7eumxfG+/vGn/gRYTwAAAAAhBxhfJjlIwSKVkpNG50xbWpWhUe7e7X/6LmMc/uPntOjh3qX9bgdjVXJMRsHAnmy0nU4HpMeeZ/UfV/q2NAx6Xt3S998rzOPojq1WBh/zrd569pr0+c2vyF1wfvEj7TW16amf4w2NQAAAAAQNoTxYZav9gheq5qRHjYOXAUeOtiTdf7hA9nnF+Jt4CoRxgN5s9J1+PAD0guPZZ574THpyIPLOy/kzaJhfLIy3khrr06fq2mS1u90xqcPqCOVxbOBKwAAAACEEGF8mE35esbXLrNnvCS1uJu4xqal8fMrOyes2NnhqazzZxaZX0i7L4wfZBNXID9WGsYfuj/7fPci8wicF8ZHI0YbWmovvsE5N4xvu0Sqqr94fsubna+xaVWdP6S2eudTSrSpAQAAAIDwIYwPs3xXxku0qlkF1mcKe3wyhkFL0NFAmxog76aHU+OaltzvP7JI26mR07k/JvLK6xm/oaVGldF5v1ZNDEjjblux+f3iPVt/LjU+8WSyb3wfbWoAAAAAIHQI48NsyhcC1S4jBPK0bkmN2cS16G7b15V1/tbrss8vxN+mZpANXIH8WOlF0eaNi8xvyv0xkTfxhNXpC86nkRbtF7/u2ovnJadvvIwzPvFDdbph/MD4rOIJWsMBAAAAQJgQxoeZFwJV1ksV1dlvm02LP4w/saJTwsrdvHeTNi5Q/X7j9nW6ec/ywrm0nvG0RwDyIy2MX8ZF0d13ZZ/fs8g8AnV2ZEoxNzDP3i9eF2/e6qltSQX1PU9rfUNUkhP0D06wFgMAAABAmBDGh9mk2zN+JS1qJNrUrDIRI83GEpKkyqjR+qZq7dvSqs/eskP33LlH0YhZ1uO21FYm7ztAZTyQH94nlCpqpcpltJDadYd01U2Z5666Sdp5+/LPDSvm37y1K2NlvC+MX6hNjZRqVROb0o7IseRhNnEFAAAAgHCpKPYJIEBeRWbdCsP4+jWSiUo2Lh15WBp42anW3HWHFImu/DyRk+fPjqrf7en+67s26q/etTMvjxuJGLXVV6l/bIbKeCBfvHV4uRdFI1Hplq9JRx6UfvL/Sn1HneNXvF16132swUV2ajAVxmetjK9pkZqytBza+mbpp/dIkq6aOSzpTZKkftZiAAAAAAgVKuPDytqVh0CSFI9Jj37QCeIlKT4j9Twlfe9u6ZvvdeZRUI+/1J8c33BFZ14fu73e2cSVDVyBPMnHOhytkHb/pvSe76aOVTUQxBdRLJ7Qwwd69P/8yyvJYy+dG0vv8R6bkfpfdMbrrpVMlk8tbX6jvL7xm0cPJQ+ziSsAAAAAhAthfFjNTTnBubSyEOjwA9ILj2Wee+Exp1oTBfWEG8ZHjPSWSzvy+tjexoFDE7NKsHEgsHL5COM99R1SVaMzHjq+8sfDssTiCd39jUP6xLeO6NxoKiz/2x+8qo/8fbdicaeNmPpfkhLuBeu1WVrUSFJdW/I2bUOHVCHnfrSpAQAAAIBwIYwPq6mh1HglIdCh+7PPdy8yj7wamZrTM6eccG/35la11FXl9fG9yvhYwmpkai6vjw2UndiMNOe2MVnO5q3zGSO1bXXGFwjji+XR7l7tP3ou49z+o+f06KFe55vzS+wX79n6ZklSNDapa43z99tHmxoAAAAACBXC+LDyqjElqbZt+Y8z0rvI/OnlPzZy9uNXB5JtEG64PL8taiSpo6E6OR6cIAQCVsTbvFXKTxgvSa3bnK+Tg9L0aH4eEzl56GBP1vmHD7jz/s1bF6uMl6Stb0kOr4+8IIk2NQAAAAAQNoTxYZUWxq+gMr45y4ZzktS8afmPjZyl94tfk/fH72hMhfH9Y7N5f3ygrORrHfZr25YaUx1fFGeHp7LOn/Hmz//M+WqiUueViz/w5jclh2+pdHrNUxkPAAAAAOFCGB9W+QqBdt+VfX7PIvPIG2utnnjZCeM7Gqq0fUNT3p/Da1MjURkPrFgQYXyrL4wfOpafx0RO1rfUZp3f0FLrbKLuVcZ3XC5V1iz+wPXt0prtkqQ9elFRxekZDwAAAAAhQxgfVvkKgXbdIV11U+a5q26Sdt6+/MdGTl48N5bcLPDnL+tUJGLy/hz+yvgBKjKBlQmkMv6S1JhNXIvitn1dWedvva5LGjub2rtlKf3iPW7f+DpNa7s5of6xGVnLZtoAAAAAEBaE8WE16dvAtW4FPeMjUemWr0m/fo9U3Zw6/s6/kd51nzOPgvCq4iXprVfkv1+8JHXU+3vG06YGWBHa1ITSzXs36cbt6zLO3bh9nW7esyn3fvGeLW9ODt8QeV6z8YSGJ9lMGwAAAADCgjA+rPIZAkUrpN2/Ke19T+rY+l0E8QX2+Et9kqSIcSrjg9DRmGpTMzBOZTywIkGE8U0bpUilM6YyviiiEaNPviPVA76mIqJ9W1r12Vt26J479ygaMal+8VJulfG+MP76CH3jAQAAACBsCOPDKogQaO21qfG5ny18O+Td2PScDp5w/k53drWo1dfbPZ/a6v1hPJXxwIoEsQ5HolLrFmdMGF80z/aMJMefuPFKPfJ/vEm37utygnhpXmX8tVqyhs7kZq/XRV5URAn1jU3n45QBAAAAAKsAYXxYBRECrfMFCuefW/h2yLsnXx1ULOH0DX7r5cFUxUtSdUVUTTUVkqiMB1YsiHVYSm3iOtorxfg5LYaDJ1Kt4K7bmqEVnPceWd8pNa7N7cHd6vgmM6WrzQk2cQUAAACAECGMDysvBKqslyqqs992qTouk6LuY1EZX1D+fvE3XLEm0OfqaHD+jgepjAdWZno4Na5pyd/jJjdxtdKFk/l7XCzZAfeTSnVVUV21vjF9cm5KGnzVGefSL96z9S3J4fWRF2hTAwAAAAAhUlHsE0BAvDA+n9WY0UppzVXS2Wedj+AnElKE6zlBs9bqCbdffFt9lXZsbF7kHivT0VCtYwMTVMYDK+WtwyYqVacC21g8oUe7e/XQwR6dHZ7S+pZa3bavSzfv3ZRqc5LN/E1cOy/P84kjm9HpOb14blSStGdzqyqi894H+56XbMIZ59Iv3pO2iesL+jFtagAAAAAgNAjjwyqIMF5yWtWcfVaaHZOGT/gqNBGUV/rGdWbECWN+/rIORZYS1q1Ae4PTN35yNq7J2ZjqqlgmgGXxr8PG+bmNxRO6+xuHtP/oueTNzoxM65mTF/SDF/v0xTt2XxzuztfqC+PpG19wh04Ny+0apn1bM7zHLrdfvKdxreLtlyk6+IpeH3lR3x2dXN6JAgAAAABWHcqawyoZAuWxNYIkrduRGtOqpiAed6viJemtVwTXL97jtamRaFUDrEiGi6KPdvemBfF++4+e06OHehd/XH9l/NCxlZwhlmHJ/eKl5VXGS4q4rWqazaRqh15c1mMAAAAAAFafoobxxpiIMeYvjTE/MsY8YYz5Q/f4G40xTxljDhhj7jXGVPju82vGmIPunz+f93gfMsY8Y4zpNsZ8ZN7cp9z7dBtjbi7MKyyS2Ukp5n6sPe+V8b5ggTC+ILx+8cZIP39Z8GG8VxkvSf20qgGWL0MY/9DBnqx3efhA9nlJUssWSe4nZC5QGV9oB9wwPhox2tWV4YK3VxkfrZI6ltdCyPj6xm8e617WYwAAAAAAVp9iV8b/kaQL1tq3WGvfKulhY0ylpM9I+lVr7XWSnpP0YUkyxnRI+qikt1hr90mqM8a8w527WtLbJe2TtFfSDcaYa9y5t0tqd+/zJkm/4z5WOHkBkCTVZajaW4m121NjwvjATczEdOC48/e5Y2Oz2hvytBlvFlTGA3mQiEvTI87YF8afHZ7Kerczi8xLkiprpKaNzpg2NQU1G0vo2R5nY97tG5pUXz2vjZe10vmjzrjzCmevleXw9Y2/auZnstYu73EAAAAAAKtK0cJ4Y0yVpP8g6bPeMWvtcUk3StpvrR10D39J0i3u+HZJ91prvd3MPiPpA+74g5I+Z12S/lrS+92535L0l+5zTEu6132s+ef0Ia/qvr+/Pz8vtBj8YXy+K+NrmqXWrc7Y3xcXgfjxa4OajTsbAb71ijUFeU5/GM8mrii00KzDXhAvpa3D61tqs95twyLzSV6rmuGTTvCPgjh6ZkTTc86avG9Lhovdw6ekGffvfjn94j1N63W+cpMkaa9e0Pg0F0ZROKFZhwGgBLEGA0D4FbMyfpukI5LuNsb8wP3zy5IulfSSdyNr7awkr7Rs/tw5SWszzUl6xT0mSWuttWcWmEuy1n7ZWrvPWruvszP4diCBCTKMl5xNXCVp9LQ0OZT9tliRtH7xlxfm32SHr03NIGE8Cizs6/Bt+7qy3u3W67LPJ3kXReOz0uiZrDdF/hw8kfp7ff22DO+vaf3iVxDGSzrdvEeS1GrGNXzi8IoeC8hFaNZhAChBrMEAEH7FDOMbJP2KpHPW2l+U9G5Jn3PPaf7nsb3vzTLnMgnvZ74DD+PZxLUQrLV6/CWnGqKlrjJzb+IApFfGU40JLMvUcGrs20j75r2bdM2Gpox3uXH7Ot28Z9PSHp9NXIviad/mrXszVcafW/nmrZ4Lna9PjmPHfrSixwIAAAAArA7FDONfk/SCtfabkmSt7ZP0pJxQPbnjmdvOJuZ+e2ze3HpJ5zPNueNX3fGAMWbdAnPhM+WrVq/Nc894Kb3ajzA+MK/1T6jX7R/9c5d1KhoxBXle/wautKkBlmmBi6LRiNGV6y8O4z/6K5fpnjv3LP3nvNUXxrOJa0FYa3XQDeO3ddSrszHDHh7njqTGa1cWxs9ufGNyXH36xyt6LAAAAADA6lC0MN5aOyzpnDHmRkkyxjRI2iPpv0u6yRjjpRcfkPSwO35Q0ofdgF6Sfl/SV9zx1yV9zLgk3S3pq+7cfZI+7j5PlaT3SHogqNdWdEFXxvsDBsL4wPhb1NxQoBY1ktRQXaHqCmdpIIwHlinLOtx98oLmW9dUk9sFt7ZLUmM2cS2I1/ondGFyTpK0b8sC761em5qmjSveQL1x7RadSDid+FoHDjibwwIAAAAASloxK+Ml6fck3WmMeVzSP0j6T9baMUmflLTfGPOkpB2Sviwle8R/SdKTxpifSJqy1v6TO9ct6YeSnpb0E0lPWGufd+e+LWnWGPOUpH+T9CXfBrHhE3QY37xJqnHbLhDGB+aJl1Mb9vx8AcN4Y0yyVc0gbWqA5VlgHR4Yn9GxgQlJTnW15/Bp34avS9FGZXyhHfS1qLlua4agfXpUunDCGa+wKl6S1jTW6OnEFZKk2rlh6a+ukL7yNqn7fjbtBQAAAIASVVHMJ3er4+/KcPxxSdcvcJ+HlaqUnz/3BUlfWGDuj5d9oqUm6DDeGKdVzYkfSgMvSbEZqSLDx/WxbJOzMT11zAl+rtnYlLkdQoA6GqrUOzxFZTywXAusw/4NQN+1b5O++INXNTkb15HTw8pJTbPThmxqiJ7xBXLA93e3b2uG99a+51PjFfaLl6Q19VFdEelJHZg47/zpeUp65fvSLV+TokX9NQ4AAAAAkKNiV8YjCJP+nvEBhPFSahPXREzqfzGY5yhjPz02qNl4QpJ0w+VrCv787W5l/IXJOcXc8wCQgwXC+GdOptbn67e16dqNzZKkF8+OaXoux2pnrzp+6AQtTArgoPt3115flfaphiT/J8XyUBnf8soj2hlZ4FMPLzwmHXlwxc8BAAAAACgswvgwmnIrLCvrpMqaYJ6DTVwD9fhLqRY1N1xRuBY1ng7fJq5DE7SqAXK2QBjvVVdXVUR0zcZm7exyWn7FElbPnx3N7Tm8vvGzY9JkeDuvrQZ9o9M6OTgpyamKd7ammcfrFy+lv0cukzn0d9lv0H3/ip8DAAAAAFBYhPFh5IVAQVXFS4TxAbLWJsP4ppoK7XLDukLyKuMlqZ9WNUDu/GF8jVP9PjUb13O9Tm/4XZtaVF0R1Y5NzcmbHenJsVVNq69vPJu4Buqgb9PdjP3iJemcG8ZX1KZvsLtcI72LzJ9e+XMAAAAAAAqKMD6MChHGd1wuRd3qacL4vDo+MKFTQ04F5s9d1qmKaOF/TDt8YTybuALLMO0G6zXNUiQqSXq2Z1ixhNNOxus5vnNT6mLbETZxXbUO+DZv3ZcpjE/EUz3j116d/DtfkeaNi8xvWvlzAAAAAAAKip2/wmjKDQ2CDOMrqqTOK5wg/tzPnH7FmT62j5w98XKqRc1bi9CiRkpvU8MmrsAyeBdFa1Jh+0FfoOtVV29qrVVbfZWGJmb1bK6buKZVxrOJa5C8jXdrKiPavqHp4hsMHZfmnIuo+egXL0nafZfU89TCb6977srP8wAAAAABi8UTerS7Vw8d7NHZ4Smtb6nVbfu6dPPeTYpGyJJQXgjjw2ZuSopNO+Mgw3jJ2cT13M+kmVFp+KTUujXY5ysTaf3iLy9WGE9lPLAiGT6hdMBtdWKMtGdzqzs22rGpWY+/1K9j/RManZ5TU03l0p6jjTY1hTA+E9PRM86nFnZ3taoy06eVzvs+IZaHfvGSpF136NUnv6VLB//3xXNX3STtvD0/zwMAAFBI8Zh0+AHp0P1OW77mjU4Rwq478vPpQqw6sXhCd3/jkPYfPZc8dmZkWs+cvKAfvNinL96xuygdAYBi4V972CywaWAg0vrGP7fw7bBk03Nx/fSYsxHjVeubtKYpoA14F+EP46mMB3Jk7UVhfDxh1e2G8ZevaVRzXSpw3+FrVfNcLq1qGtY6G3VLtKkJ0LOnhuV2F9J1Wxd4X/W/B+arMj4SVffrP6+Pz/22Ytb9da2yTvr1e6R33cd/VgEAQOmJx6RH3id9726p5ylp9LTz9Xt3S998rzOP0Hm0uzctiPfbf/ScHj20yF5JQMgQxodN0cJ4+sbnw0+ODWomlpAk3VCkFjWS1J7WpobKeCAns+NSwv2PhLsOv3RuTOMzzrF98wLdXV2pTVwP5xLGG5NqVUNlfGAW7RcvSef9Yfz2vD13Z3ODvhn/BT1jL3cOJOLSjncTxAMAgNJ0+AHphccyz73wmHTkwcKeDwrioYM9WecfPpB9HggbwviwmUyFBoGH8f7qP8L4vHhiFbSokaTWuip5bduojAdylOGi6MGTF/eL9/gr4w/35Ng33mtVM9EnzYzndl8sifd3FzHS7s0tmW/kVca3bJFqMvSUX6bORudTSi8lupwD8Rlp6LW8PT4AAEBBHbo/+3z3IvMoSWeHp7LOn1lkHggbwviw8YdAdQtU8OVLbYvUstkZE8bnhbd5a2N1hfZsCfhiShbRiFFbvVMdPzhBGA/kJEMYf+BE6tj8yviOhmptbKmVJB3JeRPXrakxrWrybi6e0KFTzt/J1Rua1Jipn//kkPMRayl//eJda91WZS/bTamDfc/n9TkAAAAKZmSRdiQjpwtzHiio9e7/dRayYZF5IGwI48OmkG1qJGmtGzyMnEp/bixZLJ7Qwwd69M4v/FDHByYkSVva6xQxxd1R3OsbPzBGmxogJ/PWYWutDhx3qqvXN9ckg3e/HZucVjVnRqbVP5bDBTA2cQ3UC2dHNTkblyTt27JQi5qjqXG++sW7mmsqFDHSi15lvKSjh36quNfEHgAAoJQ0b1xkflP2eZSk2/Z1ZZ2/9brs80DYEMaHTaHDeDZxXRFvV/FPfOuInjszmjz+3JlRfeTvuxWLJ4p2bl7f+MGJGVlL8AMs2ZSvur22Vb3DUzo3Oi3J6TluMlxo29mVan+SU3V82yWpMZXxeef/RMP89kJJ/n7x6/IXxsfiCf3eg88qYaWXbeo/KKdfOlj09wcAAIBl2X1X9vk9i8yjJN28d5Ou2ZC5leON29fp5j1chEF5IYwPm6KG8bSqydVq3lXcq4yfi1uNTrGrPbBkaetwiw6mBbqZ12WvMl7KsW98K5XxQfI+0SBd3F4oyX8hOo+V8f73h1HVq9e2S5KuMD1Ff38AAABYll13SFfdlHnuqpuknbcX9nxQENGIUXPtxe0e3/36Lt1z5x5FI8XtCgAUGmF82Ez5N3ANuGe8lB7Gn6cyPlereVfx9vrq5LifTVyBpZt3UfTAidS6vHeBvSCu3dgsr2D+8OmRpT9Xc5cUqXDGQ8dyPVNkYa1Nbt66ua0u2b/9IufdC9FVjc4Grnky//3B28R1s+lTraaL+v4AAACwLJGodMvXpLr29OOXvU16133OPEKnb3RaPzk2KElqrKlIHm+rqyKIR1kijA+beRWZgWvZLFW7FZ3njgT/fCGzmncV72isSo4HCeOBpZsXxj9z0vm+obpCV67L/PHMxppKva6zQZLTpmbJraGiFU4gL9GmJs9ODE5qYNzZM2PBqvh4TOp70Rmv3S5F8vdr1fz3B69VTcRYXWZ6i/r+AAAAsCJT8z4JOj1CEB9ijx05K2Pjelf0cf1z03/Rk9W/q0eq/rM6X/2mlIgX+/SAgiOMDxvvTa2iVqoswI7UxqSq4/telGJs9pmLjsbqrPPF3FW8w1cZ7wVSAJbAF8aPqkEvnR+TJO3Z0pq18sNrVXNhck6nL+QQtHqbuI6cZg3OI/8nGhbsFz/4ihR3L1b6PymWB+vnrf/+TVyviPQU9f0BAABg2UZ7JTsvgO3tlmYni3M+CNxjh07pi5Vf0Ocqv6z1o0e00QxqX+RlvX/gr6RvvtcpcAHKCGF82HghUCH6xXu8DesSc9LAS4V73hI3NDGrvtHsFefF3FU8rTJ+gsp4YMl8Yfyhfskrcr9ugRY1np2bUp9mejaXvvHeJq42IY3QuiRfDqaF8fP+7uIxqft+6cE7U8dmx/Na2XPbvvT1/yXfJq5Xmp6ivj8AAAAs2/Cp1Liy3vmamJN6DxbnfBCoY/3juuzcP+jt0QOa/9lfayW98Jh05MFinBpQNITxYTPphgd1BegX72ET15xdmJjVHff+VOdGpxe8TbF3Fff3jB8YI4wHlsz7hFJlnZ7qmUge3rdQdbXLv4nrkdNs4lps3sa7rXWpFkKSnCD+kfdJ37tbGnotdfzwA3mt7Ll57ybduH1d8vvX7AbFrPNr25sazxf1/QEAAGDZ/GH81b+WGp/8ceHPBYH77rNndFv0cUnS/M8Ie3tmqfv+Qp4SUHQ5h/HGmFuCOBHkSVEq4wnjczE8Oas7/8dTevGc07ri0jUN+tN3Xq19W1q1oblG+7a06rO37Cj6ruL+FjoDE7S+AJbMtw57gW5FxGhXV/Z9PK5a36TKqPMzn9Mmrm3+MJ5NXPNhYHxGxwacCyl7t7TJGN9afPgBp4InkzxW9kQjRl+8Y7c+e8sO7dzUrFlV6phdL0m6MtLDZlcAAKA0+cP4a2+RjBtLnXyyOOeDwFhr9d1ne7XeDGa/4cjpwpwQsEpULH4ThzHm05L+TNLvSXoksDPC8s1NSTG3z3AhNm/1dF4pRSqkRIwwfhEjU3O66ytP6/mzo5KkSzrr9Y3fvl5rGmv0gbdsW+TehdVen2pTQ2U8kINpp6o9UdOiZ90K92s2Nqu2KvumVDWVUV25rkk/6x3Rc70jiifs0gJXf2U8m7jmhXcRRcrQoubQIpU73fdLu38zL+dREY3o1n1dunVfl9795Z/o5Z4uXa5emYl+abxfaujMy/MAQDmIxRN6tLtXDx3s0dnhKa1vqdVt+7p0895NR/LUWgAAIABJREFUXOAECmn4ZGq89hpp3Q7p7LNSzwFn/6OKqoXvi5Jy+PSITgxO6mxVuzZmC+Sb+cQnyksulfEbrbVxSaRyq5V/R/JCVsZXVDuBvOSE8XZ+JzBI0uj0nN7z1af1s16n4nVbR70e+O03aE1jTZHPLLOayqgaq53rdYNUxgNL51bGT0QaNBtLSJL2LdIv3uO1qpmcjevVvvGlPV/r1tSYNjV54e8Xf1F7oZHe7HcOqLLnnTs2pG3iqr7nA3keAAijWDyhu79xSJ/41hE9c/KCzoxM65mTF/SJbx3RR/6+W7F4otinCJQPrzK+okZqWCttebPzfWxKOnOoeOeFvPvOIef35ofiN2ScT0ZHe+4qzAkBq8SSwni3Nc0/ut/OBXc6WJGpVHig2gL2jJdSrWqmh/mIUQZj03N671ef1mF3U8Yt7XV64LffoLVNqzOI93itagbGuQYHLMnctDQ3KUkaiNUlDy/WL96z09fK5vBS+8ZX1UmNTvsSKuPz48BJ54JKdUVE12xsSp9s3pj9zgFV9tx4zTq9LMJ4YMW8DZi/8jbp89udr93353UDZqw+j3b3av/Rcxnn9h89p0cPLXKhFUD+eGF8c5fTNHzLm1JztKoJjVg8oX84claS9K9Vv6jEtl+46DbGSINqkXbeXujTA4pq0TDeGPMpSeuttY+6h+LGmNuMMbcbY95rjHl/sKeIJZtKfay+oJXxEn3js5iYien9//OADp1ygrWutlo98Ntv0Lrm1R3ES6lWNYPjVMYDSzKdCtBPT6d+xvfNb3WygJ2bUmH8sjZxvXBCSlDdtxKTszEddT/BtLOrRdUV89oL7V6kciegyp6OhmrVd+1Mfj9+6kggzwOEmn8D5p6npNHTztfv3Z3XDZix+jx0sCfr/MMHss8DyJP4nDTqXvxq2ex8TQvj2cQ1LH782mCyqO/GHZsUueyXU5M1rZoxTuFfu4Y19eq/FeMUgaLJGsYbY6KSmiTNb0A+J2lW0rikofn3Q5EUM4xfe01qXOZhfCye0MMHenTzl36sN/zFv+j6v/hXHXSrLDe2OEH8hpbaIp/l0nQ0OG+Q4zMxTc9RMQYsyrcOvzZeKUm6pKM++bO0mEvXNKjO7S1/ZDmbuMampbGzS78fLvJsz7BiCeczsxf1i5ekXXdI7ZdmvvNVNwVa2fP63bs0YZ1/SxM9hPFAzgq0ATNWn7PDU1nnzywyDyBPRnsl6xaOeGF8XZu05mpnfOqnfFIpJL7zbOoTR7+xa6P02r+mJu9+Wt++/DPJb+0//ykFRSgrWcN4a23cWvsxSb3GmNt8U9+z1n7L/fPdYE8RS7ZqKuPLNyCY34/y3OiMxmecKquayoj+7oOv16bWukUeZXWIxRMankxVxN/y//1YDx/oUTzBngDAgnzr8Pk552d9qVXxkhSNGF2zwekb/8LZUc3ElvifETZxzZv0zVsztBeyCWlmzBmbiNS4Qep6g/Tr90jvuk+KZN+odyX+3TUb9Ip12uA0jb3Kf1qAXC1lA2aE0vpFCmFKpVAGKHkXfJu3tm5Jjb3q+Nmxsi/uC4Op2bi+/5zTGmxjS632baiWTrgtiNbvlBrWqPKyX9aP4tslSXUDR6Sjjy70cEDoLKlnvLX2q5J+xXeI7a1Xo2KG8XVtUpPbJ7eM3zyz9aOcnksk+xCvdt5FhZ8eT33w5bneUTa5AhbjW4eHVS9p6f3iPTu7nDB+Lm71wtmxpd2pzRfGs4nrihxwN281RtqTaePdl78vjZ93xnveK33sBemD35d2/2agQbwktdVXabjxMklSrabVe+LFQJ8PCJ0ibcCM4rttX1fW+Vuvyz4PIE+8fvFSqjJeolVNyPzri+c1MesUFd20c4MiJ38kxd196C51osXL1zXpv8bu8N3p01KMvepQHpYUxruOGmO8kl7C+NVo0tcxqK7AG7hKqer44ZPSdA7tFUIkLP0o2eQKWCZ/GG8bJC1QXZ3FjuX0jW+jMj4fYvGEut2Lpleua1JTTeXFN3rma6nx3vcV5Lz8mrek+sYf7uY/q0BOirQBM4rv3+/eqOqKzP/1vXH7Ot28h797oCDSwnhfZfxmNnENk+8cOpMc/8buDdIr/ys1eanTO/7SNQ16Xtv07fibnePDJ6WDXy3kaQJFs+Qw3lr7N9baSUn3SKKp3mpUzMp4Kb1VzfmjhX/+VSAs/SjDclEBKLipVHg+rAa111dpa3turan8m7ge7lnihU1/m5qhYzk9H1JePDeWrOLJ2C9+uEd69V+c8fqd0oZdBTw7x2XXXp8cD7x6qODPD5S0Im3AjOI70juimVj6JzurKyL67C07dM+dexSNmCKdGVBmFqqMb1ovtV3ijE/+mFZ8JWx4clZPvNwnSbpyXaOuXNsoveqG8TXN0qbrJEm1VVF1tdbpr2O3alYVzvwTny3bwk6Ul1wq4yVJ1tr91lo+O7IaraYwvkxb1axtrsk6Xyr9KMNyUQEoON86PGrrtW9rq4zJ7T/4XW21aq1zKrIPL7Uyvq7N+eVWok3NChw8kfqEWcb2Qoful+Tum1GEqnhJaujakRy3TbyqY/3jRTkPoCTt+v/ZO/P4qKq7/7/vTPaF7BtZ2PcdArKoYFUEW9SKoEXtoq3WSvc+9vHXzdr10T5tbbU+2mqtVq0IuBcQtYgCssseErYQyB6y7zNzf3+ce+fOJLMlmWRmkvN+vXjlzNxlzpDJnXO/53M+nzUiaNkVEz/brwHMksCy+agRbh4fJYo+7RYby6dmykK8RDKQ1Gme8WHREJvmvE23qmm9BNUnB7ZfEr/xzpEyOq1ivHzjzGwhFKo9JzaOvgrMYfZ9x2fEcUFN4x+WpeKJ1kvw8R8HuMcSycDjtRivKMoDiqJ8z8W/BxRFiVEU5cmB6KjEB/QiUFgUhAeg6Js51WgP0RDX1LhIj9tDxY9ShlxJJL3EyaYmtscWNQCKotitak5XNdlDoL2iq+OlTU2PsVhtrNtbwmPvF9mfK69rdQ6stlqMcMfwGJh6ywD3UiMujbaIFADGKyX8+0iZlwMkEokdkxlueQ5y5nXfNveefs99kAQGVVXt9ouxEWZucxiPnyz3MZtFIpH4B10Zn5gnAnocGXG50ZZWNSHLG58aFjUrZmQ5W9SMu9Zp33EZ8QA8brkJS8Qw8eQnf/Ge8SKRhDi+KON3A7uAHdq/A8AaYCdgAUb3W+8kPUMvAkUHwC8eIHEkRIiL6VBUxp+rbubDwiq320PJj1KGXEkkvcQpwDWux+GtOjNyhMpdVeHIBR+XaupLe9vqnTNEJB7RA6sf2HCY2pZO+/O/3lTgHFh96j1o1G4upq6EqGEB6K0gLGsKAKOVMrYcOu9lb4lE4oQ5DFRr9+dPbe3+nGRQcKy0gZJLYlXnZyZlMCvPWEF8vKwhUN2SSIYelg5o0MZSjhY1OjLENeS5WNfKnrPiPmTeyGRykmKcv181v3id8RkiY6ueOI6N/qp40tIG2349IP2VSAKF12K8qqofAmVAsaqqu4G5QI2qqh+rqtoBdPRzHyW+Yi/GB8CiBsBkMtTxlSfA2ul5/0GEqqr89M1jdGhelJ+dnkX+iCSGJ0SRPyIp5PwoV87JYdmUTJfbQmlSQSIZcLTrcKdqxhoew5ThvSvYyhDXgcPnwGqn4Nav9H/HPBCWJb5rwxQblsqTnKqUyk6JxGdUFapPiXb6ZIgQhQAKNweuT5J+ZfNR4xq/fGomk7OM7+bjpbIYL5EMGA0XsNv9uSrGJ+bBMO0+s3inuF5LQoo3HVTxN84aDp2tcO5j8UTmNIh3rjGMS4+3tzfFrDB+/5++NGRzCCVDA19sar4NPAy8qCjKNUAbsNZhF3mFDBYCXYwHwzfe2gHVhYHrxwCz6Wg52zVV/ISMeP5460zW37eQnQ9ezfr7FrI6PzdkCvEAZpPC42tm8cgt05mTl2jve0SYid+vnhFS70UiGUismiK9jlhm5SYTbu5xNAsA03MT7G2ffeOdQlxlMd5XfAqsrr8IRVvEExlTIXv2APTMA+mT7c0JSglvH5ZWNRKJzzRXQbu24ih9Moz5jGjXnIKa04Hrl6Tf2KT5xUeFm1gyIY285BhiI4QlkVTGSyQDSG2xvXmoKYGVT+5k4W/eZ+WTO1m3twSriqGObyyT4pIQ5I1PhYgl3Kxw/dQsUYi3tImNY6/ttv/Y9Dj00sLxagt85kfigWqD9x4agB5LJIHBlyrBDaqqfhG4A/g6kAPMUhRlhrY9zO2RkoGjsw06W0Q7OtHzvv3JEAxxbWq38PBbx+2Pf/X5qb0uwAUTYWYTq/Nz2fCNRXz1ClHk67DY2HWmJsA9k0iCl84mUYyvV+OYO7L3E6Pp8VEM1wKhD5X4alMji/G9wafA6k9fFDcFIIJbexjK63cci/GmEt6RxXiJxHdqThnt1HEwfpnxuHDLwPdH0q8UVTRyuqoZgMXj04iJCMNkUpikqeMLyhsNOzKJRNK/1BnWek8dtrC/uJbS+jb2F9fywIbD3P/iAax5C4z9z0nf+FCioLyBAi2HY/H4NJJiIzz6xQNEhZvJS44BxPWa6bcK4QtA0btwdnu/91siCQS+VAz1O85WrR0NhGv/JMGCg08xMQHyjIchWYz/w9ZCyhvEbO/q/Jxee0QHM9c5WNY4LvWVSCRd0K7FdcQxp4/XAt2q5mJdKzVN7d4PSJI2Nb3BW2B1TkIEHHhePAiLhmmrBqBXXkifiD48m6CUUFTZJEMIJRJfqTaCmkkZqxUHtNsdaVUz6NjkZFGTZW9P1mzkOiw2zlQ3D3i/JJIhiUMx/oKa1m3z5mPlvNs8xnhC+saHFI7BrTfOzBYN3S8+MsF1eDpGiGtZfRsNHTa49ufGxq0/BZucMJUMPnwpxu9RFOVh4GngWaBcVdUXgasURXkLyFOUQEvEJE7F+EDa1KRNAkUs+xwKxfjjpQ08t/McAIkx4fz38kmB7VA/MTMnkYxhkQBsPVEhFUQSiStsVqKsTQDUq7HMzuvbKiVHq5rDvoS4xmdBmFDTS2W871w/1XU+hs7akSVQr1nZTPl8YFef6UTEQtJIQCjjAd45XOrhAIlEYqemSzE+Lt2wnireAW3StmQwoRfjw80KV01Mtz8vfeMlkgDgpRgP8MzxMIjVthVLZXyoYLOpdr/42Agz10zKENZvl86IHUYvFgHqLtBDXAGKKppgzNUwarF4ovQgHNvYr32XSAKBLwGu/w28B/xCVdV3ALP2/KOqqq5QVXWqqspkjYATLMX48ChIHS/a5UeCK3TFaoEDL8AzS+H3U8TPAy+Azdqr09lsKj9+/QhWm3iPDy6fSHJshD97HDSYTIpdHV/X0mlPSJdIJAaWZsfrcCLxUX1bQDbTIcT10xIffONNJnuBVirjfeeIhyLMsimZXNHwjvHEnC/3f4d8JWMKANlKDcNo5u3DZcjhmETiA46+8CljxU/dqsZmgdMfDHyfJP1CcU0zJzRP+EVjU0mINr6XJzsErEvfeIlkgKgTnvHNaiSXiHe5S2l9m+EbX1cM9RcGqneSPrCvuJaLmvXjdVMziY4ww6n3jB1cWNTojM8wPgtFFY3CDvLah40d3n8YLD6sEpZIQgifjK1VVd2uqqouc36kH/sj6S3BUowHw6qm9RI0BIlSz2qB9V+GN9dCyW6R5F6yWzx+9Utiew95ZV8JB86LAtmcEUmsmpPr504HF8scrGq2HJNWNRJJV06fN24WYhJS+3y+qTmOyvgehrg2lkFHS5/7MNjZfaaG1w+KoKnE6HBm5SYyPCGK/BFJPHLLdJ64YTjKyU1i57RJkOt6eW1ASDdWYo1XSjhT3cyJMmlVI5F4RbepiR8OkZoab/x1xnbpGz9o2OxkUeO8Cmp8RjxmLTVQKuMlkgFCU8YLVbxrc4XhidEwYpHxRPGuAeiYpK/owa3gaFHjUIwfe43bYx2L8YUVYpUxw2fCtNWiXVcMj8/1i6BSIgkWvIavKory34CjJ4VJURQTYFFV9RFFUf6oqup3+q2HEt9odVAqB0Mx/sg60S4/AgnZge0PwKGX4cRbrredeAsO/wtm3eHz6Wqa2vntpgIAzCaFX940FZNpcLs1zRuVTGJMOHUtnWw5VsHPVkwZ9O9ZIukJhefOM0FrJ6Vm9Pl8w6LCGZ0Wy5mqZg5fqEdVVby6wjmGuNaeg4zJbncd6nRabfz0jWP2x79dOY1lDn7CAGz/HajaYH/OlwIf3OqIU4jrBfZZJ/L24VIntadEIumCtdNYOZQ61ng+c7qw+mosE4FxNptYbSQJaXSLGrNJ4drJzsX4qHAzY9JiKaxo4nhZg2/fsRKJpPdY2sU1FvcWNQCr5+ZCjoNqvngHTA+CvB6JWzosNt45In63qXERLBqTAp1tcPYjsUPGVBg23O3xo9NiMZsUrDaVokoHYcmSB+HoelBt9lUVdlFl0Ra45Tm31jcSSbDjyyhzN/AJ8DHwIbBN+/ehtl3e6QcDTsr4AAeIBlOIq6Udit4TS5s8ceCFHp32N5sKqG/tBOArC0cyKWvwFz/CzCaunSQKjOUNbRzyVakrkQwRii8ayviszCwPe/rODM2qpqa5gwu1rd4PSB5ttKVVjUf+sfMcJyvEgH/x+DSnoGpAFOP04FZzJEy/dYB76AXNpgZgSpj47L1zRFrVSCQeqS0WVjRgWNSAmGjT1fEt1VB6YOD7JvErZfWtdou3y0Ylu7SS1H3jLzV3UNEgLRAkkn7FwW7mgup6BemyKZmsnJ0jBAdR2gpRGeIa9GwvrKKuRdRGPjd9OGFmExR/DBbt3sWDKh4gMszMiJQYAE6WOxTji3eIQrwrdEGlRBKi+OIZ/x/Npmanqqq7VVX9RG8PRAclPhKMNjUAFf1YjHfnAd9cDYdegXVfhEdGw4srobnS87kcwmS8sefsJdbvF4OJzGFRfOfa8X15FyHFMoclvpulVY1EYkdVVSoqjL+JhKS+K+MBZuT0MMQ1yUEZL0Nc3VLR0MYfthYCEBFm4uc3TOmuiDy7zVDhTLkJYgI80d2V5DFikgCYFyM+e8U1LRy9KO0WJBK31Jwy2injnLfpvvEAhZsHpj+SfsOTRY2Os2+8D9+xEomk16i15+ztEjWdKcOHMS7dCO78zMR0nrh9trCPMpkhb4HYUH0SmqoGuLcSX7BYbazbW8J/rT9kfy4uMkxk6hX55hevMz5drIaobGynXivsc9CLYLKHgkqJJJjwaf2loij5iqL8W1GUtxRFmdnfnZL0gmAqxsemCh9O8F0Z39NwVU8e8I+OhdfugeNvQEeTb6/fWguVBV5367Ta+MnrR+2Pf7ZiMnGRQ2dp1KKxqcRGmAHYcrRcKjAlEo3zl1owtTmsFvHTdXh6rhHi6pNvvKNNzaUzfunDYOSX75yguUN8v3x98RhGpsZ232n/P4z27C8NUM96gDkM0sRk8AjLOUBcj98+EiRZLRJJMFJTZLRTuxTjR11pn+CSxfjQR7eoURS6r3zSmJxlTHhL33iJpH/ZfeCgvd0ak82LX72MN9YuItwsxBB1LR32HAfACHEFOC/V8cGGxWpj7UsHeWDDYWr14jnw+H9Ocf+LB1CLtoonIodB7mVezzc+w5iYKdStauovutlbQ4b7SkIYX80QfwmsAu4AftNlm6zGBQPBVIwHyJwqfl46A+1eAuV8CVe1WqCuBM5/AkfWw/q73HvAO34kk0fDgrWwyEusgaUV/noVHPK81OnZj8/abQ2WTEhzUooPBaLCzSyZmA7AuZoW+/+FRDJU0RUhX3p2D4kYk3/WqEQPR/nO5KxhhGk3Jj5ZQyXkgqJ9tUubGpfsOFXNW4dEwTo3OZpvLBnTfaemSih4W7RTxjnfEAYTmm98eGcDoyOEqvOdw9KqRiJxS7VDMT6ly99+RKwoyIMQk3grAkiClqrGdvaeE3lac/KSSB8W5XK/SVmGL/XxMlmMl0j6i2Ol9Xx69LD98R3LLicxJoKYiDBm5YraxaEL9TS2GUVd5xBXWYwPNjYeuOh2pfyx44dQLmkr0UYvBnO41/ONcwpx1WoM3rIHE3J86qtEEoz4WowPV1W1WVXVeiAcQFGUTEVRRgCxWqCrJJC0aAGuYVEQERPYvlgtzo+9qdy9hav+biz8Mg3+OBWevQ423A0n3vDch4RcuH8PfPMAXPcruPqnMGmF631jNM+6zhZ47V5481sicKQLF+ta+eN74iYuMszEwzdMHZJBT8sc1EWOS4AlkqGGoyLkXE0LCUqzfdtDW0uxWN14HPaAqHAzE7ViwZEL9WLZpyfCIoyBqbSp6UaHxcZP3zBWNz20YgpR4ebuO376kuErHWzBrY44hLiuzhM3LhdqWznki6WRRDIUqTktfpojIHFE9+26bzyIcDhJSPLu8XL0OUlPwpmUuEgytUK9VMZLJP1DU7uFb750kCzVsJqZNMmwtV04NgUAq021T6IBkDUDwrWVi8U7BqSvEt95ZV+J221LTIZtjTe/eJ3xDsX4ogpN4DTrTs8HzfayXSIJYnwtoncqipKkKEoKoFda7wZ+BBzrl55JekarppgMtCpeV7kXvWs8V3lcqNzXfRFqzsLpD2DPX2Hzg/DiKvj3Dzyfs7XWfXCHO1QV0iYYBRSTWaRt3/gE5M6HYTni541PwPdOwJX/ZRx74B/wzDVQc9quel355E6u/t02WjvFhMI3lowlLyXAkx4B4qqJ6USYxaVjy7GKAPdGIgkcXRUhCYqhjH+rsIWNB/2jqpyuhbg2d1g5U+WD9ZYe4lpf0n1ydIjzzMdnOV0lJk2umZTB1ZNcePurqvgeAFGwm7FmAHvYQxxCXK9OrrG33zksrWokEpfoNjXJo8XYsCuOxfhCWYwPVRzFIt5Wseq+8edqWmhql9+ZEok/UVWVH792hDPVzeQqIsNNjYh3qlksHGOEue44ZYxlMIdD7jzRLj9q1DskQUFZXavbbc7FeO9+8QCjUmPtq4HtyviZa9wLKietgBlf8OncEkkw4qvZ9XeBvwKRwA8BVFX9VX91StILdJuaQBfjPancC942lv33BFMYjFos1J4JuWK50o7HoMqDx7urJUvmMJh1h/jXlc/8WBTnN34NWi9B+RHUpxfzbMJ3KbpYzoPmbWSZaygzpfCKdQnHL6RisdpEUvgQIy4yjCvGpfJ+QSUnyhoormlmRIoLv2WJZJDTVRGSiKGMbyCWdXtLWJ2f2+fXmZGTwEtaZPqhC/VOyzhdkjQK2CaU3fUlzj7yQ5iLda386X1jddPPVkx2veO5jwy//UkrIDZlgHrYCxyU8aPVYuKj8mlss/DO4TIeXD4Jk8m7ot9itbHxwEVe2VdCWV0rWYnR3Jqfy8o5Oc7erRJJqNPWAE2aiCBlrOt9EvMgfQpUHoMz26CjJfArTiU9oq6lg12nRUFvek4COUmef3+Ts4bxQYEoEhaUNZA/MsjCuiWSEObV/Rd4/VMhEMgzVQOgJOY5rTicmZtIdLiZ1k4rO05VO59gxCI48x9AFTa2jhOmkoCSlRhNaX13N4FIOlho0vS66ZO9W81oRISZGJkay6nKJgp1ZbwuqDz8L/jgV9CoiU0Wfhuu+ZnrSXWJJETwqZKoquoJVVVvUVV1haqqh7wfIRlwgqUY7y3xuhuKUB56Ijsf7twIN/wJFv+XmCFdsNbzMb1ZsjTuGvj6R5AjZuCV9kbuqXyYR8OfJt9USLZSQ76pkEfDn+am0z/itf3FPX+NQcJ1DiqjLW684iSSwU5XRUiipoyvV2OwYaLUg2KkJ+jKeJAhrn3hF28dt69uWnvVWHKT3RRo9j9ntIMxuNWRYcMhSgQQmquOs3SyuDaX1rdxsMT7Z8XRaml/cS2l9W3sL67lgQ2Huf/FA36xWpJIggbH8FZ3xXgwij2WNjE5Jwkp3jtRiUWzdPMl20lXxoP0jZdI/ElRRSM/e0MUZaOUDlLRxiWJeU77RYSZmDtKTIIVlDdS09RubHTM7Dn3cb/2V9Izrhib6vL5eaYCopUO8cBHixodPcS1uqmd2mbtHLqgcsVjxo5R8bIQLwl5hp6sdzBiaYdOTZEZ6GK8t7Cr8Bi45udw6z/hvl3wozL47O89H+OqsN5fS5YScuDL78D8+93uoqqw3LyXyo//0bvXGARcMykDXTApfeMlQ5WsxGinx3qAa50qBpLDu2zvLePS44jWfM0P+VBgFcp4DRniCsC2k5V2S6FRqbHcs3i06x2ba4zVXcmjYeQVA9TDXqIohjq+qpDrJxsq/i8+s5uVT+5k3d4St1kDnsK3Nh8r95vVkkQSFOh+8QCp49zvN36Z0ZZWNSHH5qNl9rZjzpE7JmU5FOOlb7xE4hdaO6ysfemgXQTx3/MdVlF3KcYDLBpjjF92nXGwqsmeYwj3ZIhrUGG3kunCYkeLmnG+WdTYd093EeKqk5NvtM/v7tF5JZJgRBbjBwO6Kh4CX4z3tgwpczpc/h1RMM+YDOHRvSuse/KAX/WPvs2UhkXQsOTnnFazXG7WV9Vd3rip968R4iTHRnDZKDFoOnC+joqG7kvUJJLBzq1dLGj0ANc6RDF+9dy+W9QAhJlNTM0WxYITZY10WLyolZ2U8bIY39Zp5aE3jXibh26YQmRYl+8Iq0UEjf91CVg1JU7GNMBLYG4woBfjre18uGuP/enmDms3lXtzu4VTlU18VFTFun0l/PG9Qo+nXrfXfTiXRBJyVDsq4z0U43PyIVqzKincgj0JVBL0NLVb2F4kbC4mZMQzOi3O6zEjkmOIiRDfCVIZL5H4h4ffPsZJrZg6f3Qyd05ysL1L6h6evchBZb3ztEMxPjxKrJIHKPsU2n3ITpL0O6ermtikiTnS4iOZk5fI8IQo8kcksTpRsxKOiBP1mR7gGOJaWNnldx2TDKkTRPvCHrDJ1ZuS0MZXz3hJMBNMxfhZdwo/N3e4Urk7eoEdeAHqLwiF+uw7RSHeXWHdkwcMtG6nAAAgAElEQVR8H9heWMUPNxxmPR0e9xuu1HjcPthZNjXTrlx491g5dy4YGdgOSSQDzMo5OXxQoCuuVbsyvl6NZdmUTFbOdpFd0QssVhtRWvG4w2rjhsc/5q5Fo9x7ejsp48/5pQ+hzNPbz3CupgWA5VMzWTw+zXkHPXi8a97JiTfg1S+J7ydzEA+XMgzf+OqzB4HuNz6bj5Uz9aEttHX27MbFX1ZLEklQ4GhT40kZbzILNd/hV6DhAlQcg8yp/d8/SZ/5oKDSPmHti0UNgMmkMClrGPuLazlZ3jhkM6Ekkt7SNXsmMtzM2WohUEmOjeCx22ZhPvmicYALZfykrGEkRIdT39rJzm6+8Qvh/E6RhXRhL4y5qj/fjsQH/m/bafs89Q+XTeSWOdo9T20xPKYJgUYvgTAvdsRd0G1qQNgcdSN3HlSfhLZ6qC6E9Ik977xEEiTIkcZgIJiK8b21j9EL63dvge8dEz9n3TGgXmBN7Rb+32tH+OKzeyirb6NM9RLa5yokdgixdEqGvb3lWEUAeyKRBAazSeHxNbNIiYsgjlbCFFEAGJmbwxO3z/ZL+KXu6f2Rw41JQXmjZ0/vyDiITRftIegZb7HaWLe3hJVP7mTer7byB039HRNh5iefcxHa6il4/MRbYqI4mEmfYm9OMLlXsve0EA/+s1qSSIKCmlPiZ3SSUNh5wjEksHBz//VJ4lccLWqWT/OtGA8ixBWg3WKzFxElEol3XGXPOP4NPbpyOhnDoqDuvHGQi2K82aSwYLS49z5X08JFRzHAyEVGW1rVBJyLda28ptkYZidGc+PM4cbGU1uNdg/94gFGpsYSbhb3Ty5tcPIcBCeeBKASSQggi/GDgZZLRtvbzUV/05/2Mf3IrtM1LPvjdl7abQwUCoffBLhfnZwyZs5AdC1oyUqIZmauCJbcdaaGuhbPKwkkksGIVVWpa+kkAePGIy872y+FeOiDp7duVVN7bkhZLHS9Kaxs7LC//ZykaNLjI7sf5C14/EBPg8kHmPRJ9uZExX0xPtyscP20TO5aNIofXT+JP39hFt9YMsbjqf1ltSSRBBybzfCM92RRozPmalC0Mav0jQ8JWjus/KegChDZIBMc7A68IUNcJZLe4WmcClCj3x96KcYDLBxrCOGc1PE584zrsSzGB5ynPzxtD8m+d/Fowh1XEhW9Z7R7UYwPN5sYlSryBYoqXFgS5V5mtGUxXhLiBEUxXlGUKxRFuejweIKiKB8qirJHUZQNiqLEOWxboCjKbkVR9iqK8ldFUcIctt2gKMo+7d+vurzGPYqi7FcU5YCiKO7TOUORYFLGQ1Co3F3hqJZc+Jv3WfnkTv65q5iH3jzGF/76CRdqxQx8SmwE/3fHbNbc89/YJq6we8R3xbT/73DolQF8B8GHvgTYalN570RlgHsjkQw852tasNpUEhUHJV1Uot/O/8o+z57dbj29dauazhZoGjorVzzdFBZWNHWfvOhsg/Kjnk9af8FPvesnohNhmMhrmeChGD8jJ5G/3D6Hn66YzNeuHM2KGcP5/tIJbgMO541M9pvVkkQScBpLxfUQPFvU6EQnCmsEELYIzdWe95cEnA8Lq+xhkcumZqK4G8C7YLIMcZVIeoXP49S6YvEzMsFtvWLhGDe+8ZFxMHymaF/YC5b2XvdX0jeqGtv5l/Y7TY2LZLVjfpalHc5uF+20iZDYO0HHOG0itaa5g5qmLr/rlLHG50cW4yUhTsCL8YqiJADfBMocnn4M+IqqqvOA54GfafuGA/8DXK+q6lzgKHCvti0V+C5wuaqq+UCMoiif1bZNBpYD+cAcYImiKIPD/NFqgVMOM5D/+bVQ8dmsgetTEOJqCd3+4lp+/MZRntt5zr7f8qmZvPvdK1k2NQtMZkyrnnNW+edcBuOWip1VK7x2L+x9JiDvKRi4zqGIs/moe1WERDJYOV0livAJioN6w4+TomVePLvdenoP0RDXHk1e1J2Hvy+DTi+WBKFgSaaFuOYplUTjOlDblcpdt1p65Jbp5I9IIikm3L6toa0TdQitqpAMcpzCWz2vCLFjt6pRoWirx10lgcfJosZHv3idCZnx6AvapDJeIvEdn8epujLejSoeYExarH0F487T1c5jEH1y1NoOF/f3ur+SvvHsjrO0a7kcX71iFFHhDmLL4p3GmLoXqngdx1VNhV3V8YpiqONrTkHz0M7wk4Q2AS/GA48CPwIsAIqiTAPOq6p6BkBV1TcA7erLMmCzqqr6X92TwC1a+wvAX1VV1e9C/we4S2vfDTyqagD/C3yl/97SAKGHzh1/3XiuqgDeXCtC56yWgHUt2PC2hC463Mxjt83kL7fPJiXOwcagq8r/q+/C7a/CZ36i7aDCO9+DHX/q3zcQpDguA95eVEVzu/zMSYYWp6vEIFEPbwX8WozP8uLZ7dbTO3m00a4dOsV4n28KT38ATy2G0oPeT+oqeDzY0EJcTYrKOKW7dZGnQOEws4nV+bmsv28hB35yLVdqAbcF5Y28tOe8y2MkkpBD94sH32xqAMY5+MYXSauaYKbDYuN9bYVmdmI007ITenR8VLiZMWliIfbx0gY5ESmR+IhP49SOFmgWFlKeivGKorBorFDHVzS02wUvAIxw9I3f0ev+SnpPfWsnL+wSKxyGRYVx+2VdfpeOAtFx1/b6dZxCXCtdhbg6WNVc2NPr15FIAk1Ai/GKoqwB9quq6iBXYSxwssuulxRFSeq6TVXVDiDc1XGqqpYDGa62AUXac137c49uc1NVVdW7NzWQhHro3ADiTS05Lj2OG2dm+76k9cofwLL/MR5v/Qn85zdDyptZ5zpNfdRhsbHtZAj83UiCmlC7Dp/RbhScbGr8WIy/Nd/zEk+3nt5Jjsr4oRPimubKE96B7IRI2P47eOFmaNXyVrJmCH9oV3gKHg8mHEJcfzJXJX9EEsMTosgfkcQjt0z3OVBYURR+tmKyPTzrf98t5FKzzAMZaoTaddgnHIvxvtjU6Pvp19JT74O10//9kviFHaeradQEIT21qNHRfeNrmjuobJQ2GJLAEUrXYJ/GqfUO9+EeivEAC8YYvvG7TjvYg+XNB7S/a+kbHxCe33mOJu06++WFI4mPCnfeQV9BFh4LeQt6/TrjnJTxXorx5z/p9etIJIEmYMV4RVHygOWqqj7VdRPgqqKputmmP+7tNuMJVX1aVdV8VVXz09LSvLyDICDUQ+cGEG9qyequfmS+MP/rcMPjoGh/Rh/+Ft798ZAryDv6DXtafSCR+EKoXYd1ZXyauX+K8Svn5Lj19L58TKp7T+8haFNT66WAMoxm/qj8Dj74BfYhwKw74K53Yc26kAsed8IhxHVuTDnr71vIzgevZv19C1mdn9ujQOExaXHctUh8fupbO3l0S1d9hGSwE2rXYZ+w29QoziuHPKEoMH6ZaLc3wPld/dI1Sd/ZfMQYf/bUokZH+sZLgoVQugZ7GqfaV+XVFhtPJo3weD5dGQ+w45SDBUl0EmRowoPzu6UDwADT0mHh2R3ifiI63MyXF41y3qHuPFRr48XRiyHMszjGEyOSY4jQQmG72dQADJ8FJi02skQq4yWhS5j3XfqNm4DxiqJs0x5P1trfB5Z22TdFVdU6RVHOABP1JxVFiUCztwHOAOOBA9q2LKCiyzZ96mw84CCRCVHquy9Fd94e5KFzA0hWYjSl9a59dMGD1YM3Zt8JETGw8R6wWWDX49DeCNlz4NMXxe8oIRtm3Qkz14RGUaeHTMqKJy85hvOXWvhPQSXtFiuRYYPvfUokXVFV1V6MHxHTgd2q24/FeN3Te+PBi6zbW8KpyibqWoU6M39Ukvsia0wKRMRDR2Nw2dRYLWJV18EX/Hp9rGvp4I5ndlNW34YZKzebP+JW8zaylBrK1BQ+tE7nzuidpFeUigPMEXD972DOl4yTzLpD/AtF0iaAYhZZJhXH+ny6tZ8Zy8aDF7WgrvPcflkeU3to+yCRBBW6Mj4xr2dFgvHXwe4nRbtwC4y60v99k/QJi9XGu8dFMT49PpLZeb37DtaV8SB846+amO6X/kkkgxl9nHrb05+wr7gWgGnZw7hzwUhWzs4R49Q6h2K8F2V8dmI0I1NiOFfTwq4zNdhsKiZ9rJu3ACqOCl/y308SwpNBfI8dTLy8p4TaFnH/cftleSTHRjjv4GhR0we/eBD2iaPTYikob6SoohFVVZ1XO0XEQOZ0KD0g/lk6ICzC/QklkiAlYMp4VVX/pKrqZaqqLlFVdQlwXGvvRxTpRwAoirIM+Eg7bDOwQrOsAeEJv05r/wu4VyvQA3wb0JM1nwe+r2gAa4Fn+/P9DQgJ2V62h0Do3ACxYHSKx+1urR58YepKuPWfYNZu7g78A976lkj4brggfg5iH39FUVimqZCa2i3sPCWDVCRDg+qmDhrbxN/08EiHyT4/FuPB2dP7ox9eZVeLeAxNtlkhWiuelh6EZ5YGPtxbzzl5c61fr4/1LZ3c+cwejpU2YMbK32P/wqPhT5NvKiRbqSHfVMj3w9eTbtEK8Qm5cNcW50J8qBMWCSma+17liT6fLj4qnAeXC+2DqsLP3jwmPZQloUtnmxEe6KtFjc6IRRCh+dcWbvZvvyR9wmK1sW5vCcsf+8heJBqTFudyebUvTJLKeImkV4SZTXRaRahnbISZN9de7rwqr84hf8ZLMR5gwRihjq9v7TQCla0WUXjVaa4c9PfYwUK7xcrT208DEGE28dUrHFaXWS3i/uL9hx0OaOrz/cZ4zaqmtqWT6iYXdol588VPSxuUH+nTa0kkgSIYAlxd8W3gn4qifIwIWn0YQAtn/RGwWVGUHcB04GltWzki0HWHoii7gFZVVTdp2w4gCvp7gF3Ah6qqHh/Yt9QPzPISKhcKoXMDQFVjO+v3u18l4CnYzmcmLIfb1wm1pTsGsY//dY5WNZ4KhBLJIEJXxQOkhjlYYUUn9ttrxkeFc8U4cZNSUN7Iuerm7jvpRW99dZRqC44bln7IOalv7eSLz+7myMV6AO5N2MOVVg9WEmmT4J4PIXt2j18r6NFCXGmuhOZqz/v6wOdnZTNnhJhY2l9cy2sHvazGk0iClUtnsFtT+RreqhMWAWM+I9o1p6A69BfWDgYsVhtrXzrIAxsOU1RpfBfvOlPD/S8ewKIVBntCalwkGcOEsMZeAJRIJF5RVdX+dzg2I757ZkMPi/GLxhoiuh2ntPHMoZfh4n7XBwzie+xgYOOBi1Q0CBvIlXNyyEyIEhscRTattcYB7/20z/cbTiGuLn3j5xntEukbLwlNgqYYr6rqfIf2EVVVr1BV9XJVVW9VVbXZYds2TVG/SFXVb6iqanXYtk5V1bmqqi5QVfXnXc7/J23bfFVVnx6Yd9XPzFzjHGDhSKiEzvUzYrB+gPIGoVqdlp3AnLzEXgXbeWX0EkOZ6I5A+fjrs9bPLIXfT/G7SnZWbiLpWnDi1hMVvboJkkhCDT28FSBJ0YoB4TF98kn0hWUOfribXE1+BWu4t7eck33/6NHpGto6+eKzezh0QRTiR6bE8J0kL57OkcMg1vNKqZDFIcTVH1Y1iqLw8xumoN9T/2ZTAY1tMsBSEoLUFBntVC/jNFeMv85oF23pe38kfWbjgYtuc4o2Hytno7vJQy/jYd03/lxNsz2oUCKReOZiXSstHeJvaHx6XPcddJuaqESI8m5557iifedpbcW1zMoLCBarjf/7UKjiTQp8fbGDKr4f7zccQ1xPuirG5zgW43f3+nUkkkASNMV4SS8wmWH8cuNxdErohc71M7/dVMDus5cAGJMWy8v3zGfDNxb1OtjOK21elDSB8PHvJ2sIR0wmhaVTMgC41NzB3nO1Xo6QSEIfR2V8rE0bKPrZosYV107OIEy7bm06WtZ9h2C9Yanzcv27uBc23gtFW8HqUPR1UTxp3f0cX3lmF4dK6oikg1UJJ3hnzEYiKg64Pz9AwyBWdzuEuFLpn8V/U7MT+MI8oWKramzn8Q+kKlgSgtQ4fG69iSZcMc4hyqpQFuODgVf2lXjcvm6vi+0+jId133hVhZPlUh0vkfhCkUPI5rgMV8V4TRnvgyoeICUukomZohi75+wlOiw2mZUXIN45UkZxTQsAN8wYzoiUWGNjP95vjHcoxrsMcU3IFraTIEJcpZWiJASRxfhQp6rAaH99O9y9RQTQyUI8bx4q5W8fi+DCuMgwnrozn7jIfs4sDkYf/wFSyS6bkmVvb3GjVpJIBhNnqpowY2W1eRuR9UI1Qmttv3uzJ8ZEsGCMUA0dvlDPhdoW5x2C8YalowU6XQymnVDF9ejFW+B34+Ht78KZ7aJI0qV4Er3p2/y04ls8Gf4HDkZ9nUfbf0Hs4eeFJY8nBnOWim5TA35Rxuv8YOkEEqLDAXh2x1mnSSiJJCRwtJbpqU0NQFw6ZM8R7eId3oUXkn6nrK7V4/ZSV9t9GA9PzjJUu9I3XiLxjUIH5bKjohkQ/uEtmrrdx2I8wELNN76108qhC3XBeY89yLHZVP7yn9P2x/ct6TKZ3Y/3G3nJMUSGiVKlS5saMBwiGsug3vMErUQSjMhifKhTqd1wRybAMC9fUkOIgvIGfrj+sP3x71bNYKyrZXP+xpuP//CZ/d+HrgyQSvay0cn2gs2Lu4tZ8Ov3WPnkTtbtLcFqk7PVksHHucoGHg//E4+EP42iK7k7WwbEm335VGPyq1tOQ7DdsLQ1wD9XQlu95/0cVxW0XoJ9z8LzK6Dg7W6BfKoKM0xnWW7eSwwO4bkRXq7zgzlLJXEkhGuKJT+EuOokx0bw/aXjAei0qvz8reMyzFUSWug2NeExMGx4784xVlPH2yzw2IzgCMUewmQlRnvcPtzVdh/Gw7oyHqRvvETiK47K5fFdi/GORdKkkT6fs5tvvMzKG3DeL6i0W8RcOzmDCZldfrfevk/7cL9hNimMSRNj+sKKRtfjTke75vPSqkYSeshifChjtUBVoWhnTIauYSlDlPrWTr7+wn5aO8UN0jeWjHHyWO5XZq4Rfv3u2PM07PnrwPRFp7bY83Y/qWQVIDZSrMjotKqUNbSzv7iWBzYcdhumZbHaWLe3hJVP7mThb96XxXtJyNDWaWVewxaWm/d2KxQD/e7NvnRKBrrDVjffeG83LJ6uUf6m5RI8fwOc3ykem9346U9aAT8ogrvehXn3QGya0+au325OX3cpY2Hht+Arm+GBs+7f32DPUjGZIH2iaFeeAJv/sjvWzMuzLxnfXljF1uMVfju3RNLv6DY1KWN6N1a2WuD8DuNx66XgCMUewtyan+tx++q5Lrb7oOIckRxDTIQYy0plvETiG6cqRcE2LjKM4Xq4p47jfWgPlPHzRiXbrWR3nq7xfI892Md3AUBVVR7/j7Gq7P6rXFi8eRP/9HGCRA9xbWizUNnY3n2HXOkbLwltZDE+lLl0BqzahSl9sud9hwg2m8r3XvmUc5q32RXjUvn+0gkD1wGTGW55Tvj2586HYTmQcxmMvkpsV23w7x/Auz/2a6HEJZYO+PgP0FzpeT8/qWQ3HrhIaV2by22uwrREuO5BHthwmP3FtZTWt3kt3kskwUJxTQurzNuA7oViO/3ozZ4aF8m8UckA7C+upbze4W/P26TgwRdEkby/aSyHv18PpQfF44Q8LPdsZ8/0X3AifDLlpHIifDJ7pv8C68rnwBwOeZfB9Y/C9wrgztfoNHtWP7ZEpMI398PSX8CIBRAW0f0aPJSyVPSxQGezEZjmB8LMJn5+gxEQ+4t3jtPWKRXBkhCguUbYh0HvLGpA2Juc3e56WyBDsYcwS6dkuM18WjYlk5WzXYxtfVg1ZjIpTNJCXAvKG+VYVCLxgs2mUlQplPFj0+NQuk546n7x0KNifHxUONNzhG3UwfO1tFhUY3yX5bDSPHn00BjfDTC7TtdwqKQOgMvHpjIzN9F5h+pTcHKT+xP4YYJknJNvvAurmoypxopQWYyXhCD9bKAt6VcqHTxhHYPbhjB//uAU7xeI4nN2YjR/um2WfwNafcEcJnz7Z93h/PwnT8LmBwEVdv5ZKAVufhrCPRebesW5j+Gd7ztnCrjDT8v6vIVp/XDDYX7x1nHCw0xEmE10WGxcaulwua9evF/tRfkkkQSKM1VNTFdqPO/Uz97sy6dm8ckZUVTfcqycLy0cKTbok4KH/yUmBOovQHwmNJWLdlUBvLgKvvgGRPaTfVdtMTx/I9SK3A5SxmK5/TXWvlPF5mNjgB+L59uAPbCs+RCPr5lFQ5uFgvIGCssbOVmRxmpLLrOUQrcvU6ym0+3bz901eCjgODFfeRySR/nt1JeNTuGGGcN581ApJZda+ev2M3zz6l4WNyWSgUK3qAFI7eXn1Re7v6F4vQkgGw5ctK+izBwWhUkR1jSr5+aycnaO67H/lJWeCzbaeHhSVjz7i2tpt9g4W93c3QNbIpHYuVjXSkuHmJwf58oStq53yniARWNSOXi+jk6ryt5ztSwen2aM7577HJz7SIgTa8+JlU+SPmGx2th44CKv7CvhyAXDWvLri7v839qs8Mb9YNGEQJNuhKYKcY+RkCOupTO+0OcJkq4hrleMc141izkMcuaIyfKKoyKfoL/uaySSfkAW40OZiuNGO2OK+/2GCB8UVPDH90XRJjLMxFN3ziEpNiLAvXJg/n1iELL+brC0wok34R/l8IWXITbVP6/RVAVbfyJUXDphUcKjz1VhftxSvy3r8xamparQ2G4BF6vMXLFub4ksxkuCltNVTaSpKWR7Ksj3szf7sqmZ/OxNMSm76WiZUYwH1wXppkp4dhlcOg0X98Erd8CaVyDMjXVMb6kuEoX4Bm01TMY0uPM1Np5oY7ObcOfNx8qZ+fBWmtqd7R4s5iXMCi9EVZ3dJfTHG9Wr+JF/ex/aOIW4HoeJn/Xr6R+8fiJbj1fQ2mnlTx8U8e7xCmqa2slKjObW/FxWznFTBJNIAkW1QzG+t8r4YAzFHsJYbSrP7RQTveFmhTfWLiJjWJSXozBWE7ti/DL7eNgpxLWsQRbjJRIPFFUaiuVufvHQa2U8wMIxKXarlJ2nq0UxXmfGbaIYD3D4Fbjq//Xo3BJn9BXrrsbpL+w6x/zRyYSZNVON3U9BySeiPXwW3PKsuO/wM7pNDXgJcT27XbgPXNwHo5f4vR8SSX8hbWpCmUqHYvwQVMY7+o3P++VWvvb8fvRsj199fhpTsxM8nyAQTPwsfOUdww/5wh742zWw/XciDOz3U3wLBbNaxD76MX+7FjbeC4/nOxfix10H9++Gr+8wbBsiHf5fxlztt2V93sK04qPCmDcymRm5iUzOGkaYl4JNqZfivkQSSE5XNfOKdQmAa8946PcwqYxhUcwZIUJP95y9RHWTl5muuHT44usQrwUunfkPbPiqfwMIy4+Igr9eiM+ZC19+C+LSvK6e6VqIB9hou5JN1rndbJ4VBTZZ53Ioebm/ej44SHeYmHccI/iJrIRovnGVUEh1WlWOXKyXFmOS4KbG8LzttXIy2EKxhzhbj5dTckmMET83fbhvhXibDfY9I9qKGYbPhgiHwmH2HPt4WIa4SiS+U+QQ3jouw4MyPjoZIns2sTV7RBIRYaJctfNUF/HL5BshTLv3PPRy/9u/DnI2HrjoVjCz5XiFYTdbcxref1i0zRFw41/6pRAPkJsUQ1S4+P27tKkB5xDXkj390g+JpL+QyvhQRr/RHpYN0UmB7csA42n2Ni8phptmekn3DiTZc+Cr7wmbiOpCYePwwS+M7Q0XxDLaoi3CaqLrF5zVAuu/LHxKHY+54PAFNCwblv8PTPycISfVVbKN5fC/EwEVjq6H+V/3y9u6NT+X/cW1brf/5HOTnZTuK5/c6XH/4V6K+xJJIDlT1cQR65UsDfuUaxUXg78BCpNaPjWT/cW12FR491gFay7zojpKzBMF+WeXiRDCE2/CW9+GG/7c82BDq0XcAB18QShHo4aJ61mnNpE26kq47WX7ktHS2haPpwszKVw3NZMJGfGMz4hnYmY8n5ypYe3Gb3Gz7SNWm7cxXKmhVE1hnXUJG6xX8tt5I3vW58FOXJqY7G2u6pdiPEBKjPsVZ9JiTBJ0OBXjXQTQ+cKsO32yN5EMDM98fNbevvtyH624Tm0VVhYAU2+GlX+D5mr44zTobBFWkvO/AZFxTMiIx6SATZUhrhKJNwodivEelfE9VMUDRIWbyR+RxM7TNRwtrae+pZOEmHCxMTJejLWPrBOvcX4njLy8N29Bgne72XV7S1g9O1uzp9HG+Yt/6Lwi08+YTArj0uM5crGeooomVFXtnkmQk2+0pW+8JMSQyvhQpaMZLmmD0SEY3upp9vZ8bUu3sNCgI2kk3P2u5xvDE28Jy5kTb8PRDfDpS7Dv7/Davc6F+K6MvRru3yMGKK6Ka/GZokgGcGGv8TnqIyvn5LBsSqbLba7CtG71UqxZPVcWcyTBiaqqnK5qxoaJZ1O+jz3C1Rw54GGhy6Yaf3Objpb5dlDaBLhjA0RoCqaDL4hrjepW498dfVLwzbVi8NtwQRR/9UL8uGWw5lV7Ib66qZ2mds8K/Jm5iTyxZjbfunocy6ZmMjI1llX5uVw7JZtXrUtY1fEQi9r/zKqOh3jVuoSlU4a7DukbylgtxuR8VYFYeeVtpVUP2eDl+3XdXs83dBLJgKLb1MRlignD3uApFHuAJl4lgkMldew9J4Qc80Yl+74KdvdTRnveveJnbCrk3yXarZdg/3MAREeYGZ0mvruOlzag9uS7USIZYug2NXGRYWQldFml0tZgBGj3ohgPsGissHJVVdh1pos6fqbDtddxZbikx3izmy2ta4U9T8P5XeKJrJmw6Dv93i99tUVju4XyhrbuO0QnQZrmEFGyV66QkIQUshgfqlQVYDdHGIIWNb7M3gY90UneVzR88hd45XZYfxe8fh+8/R2hZvdEe7P38JJpq4y2t/P5iNmk8PiaWTxyy3TyRyi6v8gAACAASURBVCQxPCGK/BFJPHLLdJ64fXY3H2FPxfvJWcNkkU0StFQ1ttstVebHV2O/Fi/4Bty9RaxAGYBCPEBOUgzTc0QxYtfpGurchCJ3I3u2yKswa37xO/8MH//B9xc+9LLnScGJ10O4uCk7eL6WFX/+WGRGeMDVBFxPrytDGn2CpNoh8PbCXjFh8uqXxHY/4NMNm0QSDNisItwPeh/eCkYo9o1PQLaDCi9xxIBNvEoEjqr4r/qqiq8+BaffF+2smc5KygVrHb4H/wSdotgzOUtM3NQ0d1DV6GPYkUQyxLDZVLtNzdj0uO6q5XqH+/GkEb16jQVjUuztXaernTeOWmxYLx57Azo8r8CUuCclznN+1Oy4WnjvIfHAFA439Z89jSNdQ1xdkjtP/Gyvh+qT/d4nicRfyGJ8qDLEw1sHTTGgwUcla0/wJUhs0grh8wZw+NWeKWI9EGY2sTo/l/X3LWTng1ez/r6FrM7PdVkw61pkS483BgEWmw1ZY5MEK6eqjMHgzLBzxoasGQPfGWD51CwALDaVrccrfD9w1JWw6u/CPxfg/Z+L7Al3+RWqCpUnYO/fYOtPPZ/705dQVZUXdxdz61OfUFYvChyxEa6LVq5Wz+j05LoypPE0QXLiLTj8L7+8jLd8EGkxJgka6orB1inavfWL19FDsb/2vhEQV1csrP8kA0JZfSv/PiLGzSNSYrh6UoZvB+79q9G+7F7nVaPDsoyg86YKsVIMZ9/4Y9I3XiJxycW6Vlo7xRhxvCu/+Npio53Yu2L89OwE4iJF0XfH6S7KeJMZpq8W7Y5GKHinV68x1Klr6aDClepcQ8HGT9Unu9jTDEz9yecQV53zn/RzjyQS/yGL8aFK5QmjPQRtatK9hDWFTDHAWyhY4khY8Rh8/im45e9w20uQOsHLOX1QlEcnwrilol19EiqO+tRdf+NYZNvzo2u4boq4sSqsaGL32UsB6ZNE4o0zVc329mjrGWND5vQA9Eb4xutsOtrDwtDEz8KNjxuPD//LsJ0p2S1U1U9dAS+vgUfHwF/mwzvfF0v6PaDWl/DA+sP86LWjdGiBnsumZPLxD6+SKvf+QisiueWAl+0+Ii3GJCFDtaNffB+U8V2Z+DmjLYs/A8Y/dhZjsQnxyFcWjvTtO6O9Udg8AsSkwJSbu++z6Ntg0hSeOx4DS4ddGQ/SN14icYduUQNe/OKh1zY1YWYTl41KBuBUZVP3orGjTdihl3r1GkOZtk4rd/9jH5UeVgD9Jmc36Zf2iQeZ0+Hy/ren0RmX7qiMlyGuksGFLMaHKpXHxE/FDKnjA9uXAcYX78aQKQbM8hL6tfi/YM6XYcZtInBq4mdh4Tc9H+NrkJijVc2RV307pp/54oKR9vYLu4rd7yiRBJDTDsr4tCZtOWTkMEjyccm8nxmZGsvETDFY/biomsa2zp6dYOYamLrS/faKY3DyHWipcb9PF463JPDqfrFKx6TAD5dN5Mk7ZpMUGylV7v1FvZesFMeb4j7Q03wQiSRg1BQZ7b7Y1HRl4meNdoEHuy6J32hut/DSbjEujI8KY5WvIdGH/gXtWjF99pfs9mlOJI2A6beJdn0JHH6FSY7FeKmMl0hc4mgbMq6fivEACzXfeBCWjE6kT4Ths0T7zDZoKO316ww1LFYba186yP5i4es/MiWGn66Y7CSYeWJ5ErfWPyMOMIXBTU+COXzA+pidGE2MtqrWrU1Nyhgx2QoyxFUSUshifKii29SkjHE9sBzEvLrvAp+W1LndHlLFgN6EgvkrSGz8dRChDZyObAiKwJOFY1IYkxYLwOZj5ZTXu18yJ5EECl0ZH6FYiLykFeMzp4EpcF+p108TVjUdVhsfFFT2/AS+2FsljYKZd4iB+NUPAXa3fDv64+daLxeHxITz/F2Xcd+SMd29RCX+xdtKq+YqoRDt47Vetxj77cppdjuxmAizXOEgCT5qHJXxY/133mHDDe/4czugRa7k6282HLhAQ5vIvfjCvDxiI33wKlZV2KNZ1ChmmHu3+30v/y4o2nf4x78nLTbMbp94QirjJRKXOCqVx6W7sKmpc7Sp6X0xftFYwzd+x6nq7jvMWCN+qjY4vK7XrzOUUFWVn7xxjPdOCHvLtPhIXrj7Mu5aNMoQzNw7n8+e/TVKp+bFf+UDkDl1QPtpMin2z9apyibXokxFMdTxl05Ds4vPiEQShMhifCjSXA3NWrFliFnUFFU08tM3haWKSYF7rxwd2nYHjqFgufNhWI74eeMT7kPBenOMK8KjjaJ+wwUoCbzHmqIodnW81aby0h7/KDklEn+iK+OvSKhG0f2IA+QXr+NoVaN76vYIb6rquEz49qdw0xMwcw2W+Ws5EHsFXa+0CrDJOpcN1iuZnpPA29+6gsvHpbo6o8TfeFtpZesUQeB/u7rPy3jDzCZum5tH/kixdLzTauOmmdmh890rGRpUa8p4U7iTX7HFamPd3hJWPrmThb95n5VP7mTd3hKsth7k50zSrGpUKxRu9mOnJV2x2VT+vuMcICYDv7RwpG8Hnv3QCPOb+FnPNo6pY2HK50X70hk49prdN/5sTTPNXgLIJZKhiB7eGh8ZRlaCC3GgXoyPSYWI2F6/zvj0eFJiRdbZztM13QuyU1eK6zyI/Bw/ZaENZh57v4iXtfvsuMgw/v7lueQmxzjvtO8ZOPeRaGdMgyu+N8C9FOirLpraLZS6E+rpIa4g1fGSkKH/I5Al/qdyaIa3tnVaWfvSQdo6harvm58Zx3evHQQWPXoomB4g1V/HuGLaLYa/3uF1MGJh387nB26enc0jmwto7rDy8p7zrL1qLBFhct5QEhy0dVq5qAVEL4q5APqYMEB+8TrjMuIZmx7Hqcomtp2sornd4ptyUCchW0zKuSNppNPDjZ+W82DNPdxsnsRq8zaGKzWUqimssy5hg/VK8kel8vxd84gK93FyUNJ3Zq6Boi2uQ1wT86CuBFCh9AA8cy1MWw3XPARxGeLm9eALYlImIVsU9meu8Tq5Oy07gT1nL9FpVSmsaGRqdkJ/vDOJpHfoyvjkUWLchLEsf/MxI1+jtL6N/cW1fFBQyeNrZhFm9mHMMXEFvPeQaJ94W/y9SPqFDwoqOVstVqQtn5pJtq+5ULufNtrz7vG+/xXfh6MbRHv775g8+lm2naxCVaGgvJE5I5J62HOJZPBis6mcqhTF+LEZca5XP+o2NX1QxYNQRy8Yk8Lbh8u4WNfK+UstjEhxKO7HpogV3wVvQ1UBlH1qWNdIuvHS7vP88T0xWR1uVvi/O+aI8ZvVYowHa4sN8acpDG76y4Da0zjiGOJaWNHo+jvAyTd+t7OdnEQSpMgKVyhS4VCMH0LK+J+/dZyT2nK4y0Yl862r/ej/OVQZtRhi00X7+Otg6Qhsf4D4qHA+P1vYLVQ1tjvdMEskgeZsdbNdcDPN7LD8NiuwxXgw1PHtFhvbTlb17GBvquouWRSv7CvBiplXrUtY1fEQi9r/zKqOh3jVugQbJmw2VRbiBxpPq6a+9Sncux1GXG7sf2QdPJ4PTy4UQb1dg3tf/ZK4MfPA1GzDV/noxfp+emMSSS9ob4RGbZWQQ3jrxgMX3Y4rNh8rZ+NBL6uEdFLHQtpE0T79PnQ0e95f0mue+fisvX335T5ms9QWQ+Em0U6fDCMv97w/CIGTHs5bdYLPsNe+SfrGSyTOXKxrpbXTCgjlejda66BNGxf0sRgPsHCMscpyZ1ffeOgS5PqvPr/eYOXdY+X8+PUj9se/WzVDrGC1WmD9l43xYFO5sP0BSB4d0JqTYx5BkbsQ1+GzjNURMsRVEiLIYnwoooe3AqRPClw/BpC3D5fal1Ilx0bw2G2z5HJ4f2AOE8GwAK21cPqDwPZHwznI9VyguiGRdMMxvHVkp6a6DIuC1AkB6pHBMgermk1He2hV08MsijJtdYA7Sr1sl/QT+qqpu7fA946Jn7PuEIX6rOnw5bdh9fPGjXFni2Hj0JUTb8Fhzze00xyU8EdkMV4STNScNtopY+zNV/aVeDxs3V7P253QC7eWNjj1fk96J/GRY6X17DojCm+z8xKZleejOn3fM0Yhad7XhKewL1zxfXtz2pm/oSehHJe+8RKJE05+8Rku/OLrHa6lSSO6b+8hXn3jxy2FaGGdx5FXg0JgFmzsO3eJb758EN2R7cefncSNM7W8oUMvu15ZCVBd6HU82J+MSTVWQfxha5Fra7nwaMMy9OIB+fuXhASyGB+K6Mr48BgRqDfIOV/TwoMbjBnc/101g0xXvnSS3jFtldE+8mrg+uHA+Ix45o8WA6q952rlTZAkaNDDW03YSG4qFE+mT7ZbIASSyVnDGJEi/B7/U1BJm6ZY8okeZlF4s3EY7quNgGRgURSYfCPcvxc+8xMjsNAdB17wuHlUahwxEeKzcVRepyXBhGN4a6qhjPfrRKLuGw/CHkHidxxV8V+9YrRvB3W2woHnRTsqAabf6vsLZs+GMVcDEFl1mKURIqdKKuMlEmcKKwxxiqNy2U6tf8JbdfKSY+z2JLtc+caHRQj7VYCWGji1tc+vGcp0zUa5/rGPuPOZPbRbxCTlPVeOdr6mHvQ83vM2HuwvLFYbv3rnhP1xa6eV/cW1PLDhMPe/eACL1WbsrFvVWNuh7NAA91Qi6TmyGB9q2GzCCw3E8ljT4P4VdlhsrH35AI1acNLXrhjFVRPTA9yrQUb2HMMP+uS/ob3J4+4DhZM6/pNzAeuHROKIrowfpZRhtmhFmwCHt+ooimJXxzd3WNle2EOrGk+qag2L1cbDbx3n/KUWj6daPTe3x/2XDCDhUXDlDyA2w/N+dZ5VwmaTwuQsYVVzoqyBTsebIokkkOjhreBkU5PlZaKwRxOJWTMhQbvWFW4Ga2dPeijxQmVDG28dKgUgOzGapZO9XK90jrwqVnuCsGDraXDklf9lb34v8nVApaCswbnoI5EMcYoqDWX8eFfKeN0vHpwCtHuLoigs0IRaNc0dzPvVe90V0jNuMw449HKfXzNU0bNRHthwmP3FtZTWt3G8rMFuK3TDjOH897KJzgfVnPF80noPuVL9yMYDF9lyvMLltm7WcjLEVRJiDO5K7mCk/jx0aMXSjMHvF//I5gIOXxBL32fkJPBf1030coSkxyiKoY7vbIGTmwLbH41rJ2eQOUysgHj9YCn1rfImVxJ4dGV8fqRDkTII/OJ1lk/Nsrc3H/Vv3kJDWydffX4fz+4463G/ZVMyWTk7x6+vLeknkryo1drrofBd6KpAc0APbe2w2OxhbhJJwHGjjL813/NEYY8mEhXFCIlrq4dzH/WkhxIvvPBJMZ1Wce35yqKRvgXrqirs0YNbFZh7d89feMQCe77GxM4TzDedoN1i41yNzAWQSHSKNGV8fGSY/X7NCadifN+V8RarzUmNX9XU0V0hPXy2YRt5cjO0XOrz64YinrJRAOaPScak2/02lMLGe6DFi4AnITDj+h5Zy3UNcZVIghxZjA81nMJbpwSuHwPABwUV/E1bnhofGcafvzCbiDD5ke0XgtCqJtxsYs1lYvDW2mll/f7AzMhLJDqqqnJGU8bPj3ZQYgSJMh7EpOVwzcZr64kKOiz+UfIV1zRz81922oNhYyPMPHXHbB65ZTr5I5IYnhBF/ogkHrllOk/cPltmeoQK3oJ7O5rgpVXw16vERK2LovyU4UaIq/SNlwQNNZoyPioBYgyv4Wk5CW7tw5eMT+v5RKJejAc4Ia1q/EVbp5V/fiJsLmIjzL5Pkpz/BMo1a8txS0XwYG+48gf25lrzawAck1ZcEgkANptqn3wflxGH4uqi6udi/MYDFznsZoxhV0griqGOt3XC0Q19ft1QxFsBe+P+i8LOa/uj8Oc5cPgV7yed7WW82E/0yFpuWJbxWSvZ7VFIIpEEA7KyGWoMkfDWsvpWvr/O8Pr6zcpp5GleyJJ+IG0CZE4T7dPvQ7OLlPoAcNu8XMLNYoD3wq5z2GzyS1USOCoa2mnuEEs8pyiaOlwxB9XEqLCqEer4xjYLO067CLnqIbvP1HDTEzvsN17ZidGsv28h103NYnV+LuvvW8jOB69m/X0LWZ2fKwvxoYSn4N6YVKNdehBevg2eulIUHC0dwj/0maXctG0p6yMeYpV5G8cvDE0VmiTIUFUjwDVlnD2802pT+X+vHbHfn+clRTMsysj7mDc6uefXr7yFRmhgwTvCTlLSZzYeuEhti1gReevcPIZFhft24J6njPZl9/S+A6OXCBtH4HLzMWYpRdI3XiLRuFDbarc8Ge/KLx6gTvOMj00X4Zp9xGeF9PRbAe06PkStai7WerKSVBlf8wE8MQ8++KVYFQ/Cck275nVj0gqY8QW/99MXemwtp6vjmyqMz6BEEqQEPnFO0jMqjQALMoKnANRXLFYbGw9c5JV9JZTWttDYbqVJ84n/wrw8Pjd9eIB7OASYtkqoiWwWOP5675b2+pn0+CiWT83izUOlnKtp4aNT1SwenxbobkmGKLpfPKjkdWgWCGkThf92EHH9tEy7lcymI2VcNaH3ORvr9pbwo9eP2K0C5oxI4qk755AaF+mXvkoCjB7ce/hforhef0EsRZ59p7jxurAXPvwfOP2B2L/8MLxyO0QOg3ZRmAoH8k2Qbypk14mjsOKtoAg0lgxhGssMS0cHi5p/flLMwfN1AMzKS2T91xfS0NrJZb9+nw6rjQ37L3Df4jGuVZ7uMIfBhOXw6YvQVA4X90PuXH++myGHqqr27zCTIixqfKKhFE68JdrJY2D0Z3rfCUUR3vEvC5Xt/WGv84/SBb0/n0QyiCisMPzix6a78ItXVUMZ7wdVPPRAIZ2QDaMXw5lt4npcVQhp4/3Sh1Bge2EVl5o7MWPlZvNH3GreRpZSQ5mawnbrNBaYjrPAcgLqtAPCY+Dy78HCtWAKdz8edMiPGkhuzc9lf3Gt2+3dVk3lXmas8i/ZY+TiSSRBiLxbCjV0m5qYVIgbHEGmesiIK2+zuMgwfnS99IkfEKauhK0/A1TxJRYExXiALy4YwZtagNfzO8/JYrwkYOgWNTlKNVEWTSEXRH7xOrPzkkiPj6SysZ2txyuwWG0+ee12nRS1IVYD6Nw8K5tf3zyNqPDADMgl/YQe3Dvrju7b8ubDna9BiVaUP7VVPN/eXSGqqrCgfSe2Qy9jCtByZokEcPaLTxkLiELNI5sLAAg3K/z25umYTQpJsRFcMzmdfx8p53RVMwdL6pidl9Sz15v4OVGMByh4Wxbj+8iHhVX2lVhLJ2eSm+zjyth9fxeCEoB594CpjwvAxy9DTZ+CUnmMa8wHmX5+FQW/Gk7jpC8w+4b7MYf9f/bOOzyqMvvjnzuT3kNJCITeCZ0gRQVsIHalqFjQddddFyy7rrrub9d1m7vqWlfF1bViBcGCClgo0gkk9BJIKCGE9IT0TLm/P+60JFPSZyY5n+fxmffe996ZExPu3Hvec75feYwWOifHHPxhnFbGV5fY7xNaKRmfEBPK2dJql/N1KqTHLNCS8aBVx1/+51aJwZcpLK/h798c5vO0bPSYeCXwZWbrU2zzvZRCknXpdU8aNR8uf1JbwLDi6n7QS8yZkMi6I3lO80ThwXquHpVQd2d93fjR89s4QkFoPiJT408Ya+0amB3IvNWdyUh5jZFvW9mEUHBBdCL0vVAbn95WV+vPi0zoG8vwBE2TeN3RPLKK3LXeCULbkWExb01STtp3+pBevBWdTuGKEfEAFFcamPTUD8xZspVlKVmYXEg9WRdFH12xj92nisk5X1MnEf/IrCE8N3+MJOI7K70nwu2fwS/WQUiM00OsxcQ1O99rx8AEwQkFx+zjroNQVZU/fXHAJjN23/SBDO1hTyDNm2CvrFvuQQrBKQMvgcBwbXzka9GpbQZGk5llKVnMWbKVXy7dbdvf6Kp4Yw3sfkcbB4bD2JZLKhiNBk6UmmzbcUopwwyHmbjvCfa+cANGQ22LP0MQ/JFjDpXxTpPxjs+QsX1b5TObZL49/BoIslTs7/vU9+TDTEab1B/PJ2mvqUvBbGryOarJyMrUM1z+/EY+T9P8rObof2K2PsXlV5Ea0wd+9h3MebNuIt4H0esUXlkwzuZRlRAVbJOXq6gx2RbZbcSNsP/uxcRV8HEkGe9PFKTbKz7iOk4yvkku2ULbMmqufewjpjeKorBwinYjp6rwwQ7RfxO8g1WmZpT+pH1nD9+rjDeazHVaiAsrDOw+VcyjK/ax6MNUjCb7Q4nJrJJdUsW/1x51uSgK0D0ypGnSDULHpNcE+0OOC9RS+c4WvIxjZXy3wXyzP4cfj+QBMKB7OL++ZFCdwy8e3I34KE16a9XeHKpq3SREnBEYCoMus392/tFmh94Zqb8YXONgPP725hN1vrNccuhLqNAMxhl7q2bc20LSVi1hQM2RBgktVYXxFZtI/fr1Fn+GIPgj6XnaPWZkSIDt2lmHYodntVaqjJ8zIZErk3o4nRvZM6qu+XZQOIy4Xhufz4aTP7VKDK2CyQif3QVfLdaSxefPaK9fLYblC7V5J+eYlzs/J+XZ63hu2Q9cUL2FxwI+ZkXoUzwd9BaAS7NyJSIB+kxyPumDBOh1No+qbX+4nO9/O52YMM1H5L1tp1h/NM9+sD7Arn2fexBqypy8oyD4BpKM9yfyDtnHHSgZ3ySXbKFtGXG9phcHsP8z78biwPVje9lWwT9NyaLa0MQHZUFoBTItlfETghySjVbjYx9iZWo2KSed6yuuOXiOW9/czoI3tzPtmfUM/eNqLvzXOl7/KdPte8qiqGDDQxVVga5jSOgJfowtGa9QEpLIk18dtE3966bRDTp8AvQ6brIkcsprjKw+kNP0z3Q0Qj6yqunnd2LcdciuPZTLSku1ZwMcK0W/XGTfn9w6MouRhz8BGia0rNuRhzqnOaTQuTGbVZuM1OC4COeFGo6V8a2UjK9fId09Isg2d7a0mvLqeklsR8PRPT70b3Xvx3Zvi/ocXgUfzYMN/4Jtr2nXt4NfYPruT+iOrHK6MHhB9Ra2hDzIf4Ne5L6AVUxQD6CoHhYwz7u4pvoJ8VEh/Osm+/PXI8v3UVhu7+a1SdWoZjizq52jE4TGI8l4f8IxGd+BzFub7JIttB1hXWDQ5do494Ddo8DLhAbpmWdpTyypNLDKoiEvCO1FVa2JbMvC4DA0Yzm6DICQKC9G5RxP3UYpJ4vZmlHI6aJKjC5ka+oji6KCjXHO9eCtD4lf6y9vx2AEwQlWmZro3jz1/UkKyjU5kQWT+nBB/y5OT5k3wV5VuXzXmaZ/5uCZoLNoiB/+uunnd2Ka1SFbv7rU5CAZs+Ep59WlTSTGkOd2PtbDvCB0RM4UV1Ft0JK9TiVqoF4yvnVkaqBuhXTKH6/gTkvndFFFLS/8UE8Pve+FEG1ZCDj8FdSU4xPsfMP9fMY62PBPWPu4rVpev+M1wPXCYN2des2U1R3Rie7n/YArRyYwP1n7OQrKa3hsxX5U642oY9V/1k4vRCcIjUOS8f6EY2K0e8cxNZ0/wf0XQgOXbKFtqSNV4zvV8XdMtt/Mvb/tlP0LVxDagcwC7Sa+G6XEmgq1nT4oUQOeu40AAnQKfbuGceGgrtwysTc9Y0LcHi+LooKNsQvqVgFbUBRYbZrIkpKJmBu5yCMIrY6xBko0iYTisL4ssyTW4yKD+f1s1/fOA7pHkNxXM27dllnYdH+a0BjoP00b5+yBEukmaixni93/v3a6GOypunTfJy2OqyTQfZdPsYd5QeiIOMogDm5MMj667Z7jH75iKF3DtQr597ed5NBZB3N5nQ5GzdPGhkp4YWTjtNnbirzD8NnP4Ny+Vn/raoJh1j81HfjHz8DsZ9yfMN55UYW/8cS1SfTtqi08/HA4l0+sC7e9kgHLSoXoxgs+jCTj/QlrZXxMXwh2r9nqTwQGuP4zvDKpR10NOKHtGTrbbkS2f7nPGJH16xbO9CHdAdifXcqerBIvRyR0JmzmrbqT9p0+aN4KnruNRveK5ujfZ7PxkUv48OeT+dec0Tx02RC358iiqGBDp4e578L1r0KcvUvvVNhIFhkepKxW5URhhffiEzo3RSe01nRgXb69c+mv148kKiTQ7anzkh2q43c3ozp+2DX28ZFvmn5+J8RoMlNrcn+f6XQxOG2p+zdO9TDfCMqG3wI0vA22bpeNaLlJrCD4G1a9eIAh8S7yEZYFUSJ6QKD7Yo+WEB0WyGNXaousZhX+/NUBe7GWyQhnU+0HVxd71mZvC84dgGUL4bUpjfJjywoezIORz7PQ+Ad+WfsQvzP8ktPm7m7POar0hym/1irCg8JcFk0A2v4xHePaFREcwAs3j0Wv0xLvf111iMz8cm1xPG64dtCZFO8svghCI5BkvL9QXQpWU7QOJFFTXmPkX6s1F2wFGN4jkp7RIST3jeWZuaN59bbxtgus0E4EhcOwq7VxyWntS8xHsLYjAizdJkauQvuRaTFvTVJO2Hcm+GZl/M3J7hPnt0/p2+C66s4YSxZFhQboA2Dc7XDfFpsebM+aTIIwAHAgu9Sb0QmdGQfz1j1VWgJjVlI8V450fn1z5OrRPQm16Mmv2H2m6R0ew67GVo13RKRqPFFjNHH/x2kUVtS6Pc7pYnCpB83j0mYsptRj/HWLSA2/2Kk0xI/qBEbO/mWLP0MQ/I1juXa5F6cyNapqr4xvJb14d8ydkMjY3jGAJsP4udVjYu/HkLne+Umt1D1jw9G/4vkk7XX9U/DJbfD6hXDoC0D7PqkO0qTSXC3yvVx+CV/m92CjcSRrzRfwmWk6/zHd6PaczZGz6044Fk30ngxRidrr9a/CvPe0+Q7C+D6xLLaYslcZTPzm0z0YDLUQqnW6UXMe/jvdex0RguAGScb7C3lH7OMOZN76nx+PkVemGW7cckEfVj80ja2PX8Zn901lfnJvScR7C2tbH2jV8T7CjKFx9I7VKqQ+T8tm0j9+YM6SrSxLhTj7OwAAIABJREFUycIksghCG+K0Mr6Hb1bGNyexXt8YSxZFhUahKDBSkzYLNFVymS4NkGS84EUKj9mGJ9QEIoMD+Ov1Ixt1akRwAFeNSgAgu6SKrRmFTfvsyB6QOFEbn9oCFU08vxNRVWviF+/vZvUBzbjV1XeMy8XgCPeVoq2hiawPCGD0QyvZOeZvHA4cQTn2Cv2Vhqm8vkmKQoTOh1WmJjIkgLjI4IYHVBVDrSVh3w7JeJ1O4W/Xj7Qtmj317RHOVxs8d8/seq91AqjvX3H+jPa68ek6i7LmroM5MOlZpte+wmrTRKeLfKtNE1lhmkZUSACT+nfhrqn9+NdNo+hx8d1uz4m7+K6GcVmLJu5ZC789qL2Ou71DJeKt3H/pIMb10RZkDpwp4sSS+dp3sJXc/e3fESEIjSDA2wEIjSTvoH0c3zGS8cfzynlrs1ZlGh0ayCOzhno5IsHGwEsgtAtUFcGBlTDrKdC7b+9uD1RVJSxIu2ypQG5ZDbllNew+Vcy6I3m8smAcAXpZYxRaH2tl/Gi95eE7sqfnZICXsCbWV6Zlsywli7MlVfSMCWX+xN7MGZ/oMulhNcaa76GyXhDqMGoubH4egOsDtvJN7WT2SzJe8BLmgmO2SqNMcwK/v2oY8VGNl0mYl5zIilStqnr57iwuGtytaQEMvwbO7NSkctJXa8kPoQ7nqw3c824KKSeLAYgNC+TthRM5ll/euO+sslw4f9b9h7SSJnJAYBAX3PgA3PgAnNsPr18EwDX67TywYSpXj0pgaA8XutmC0MEwmVWO52n3w0PiI1GcOYiWOCxSxbaeeas7RiVGs+CCPny44zQF5TW8+P0xnvDUPZO9Ez6cp5lvD74CYvtp+01Grao+banWgRPdSzOuH7ugYSJbVWHHf+HwKlRsfVF1qAmNY0XXX/HMmRGUZGsSaot5gJvMm5iv30BPpZCzaleWmWawwjSN7pGhbP/DZXX+35rMKvfnPcW6o8sbnFM+dB6vTGif/8++SoBex4s3j2X2S5u42rSBIUXrnf8+rB0R8r0s+AiSjPcXHM1b4/xfpkZVVf6y6iBGSzXz72YOoYvFgEXwAfSBMOJ62P0OVBbAc8Og60DXNyPtxMrUbI46GAc5subgOVamZUsiUWh1zGaVzPwKoqigN7naTh/Vi7ciiXWh3YhP0jr28g5xiW4PUVRwMDsAs1lFJx0VQjtgNJlZmZrNp7uy+L/cXYwHqtQgEvsO5NaJTavMnNS/C327hnGqsJI1B85RWmUgOrQJxQjDroHvn9DGh7+Wh/56FJbXsPCdnRzI1owW4yKD+fDnkxgcH8m4vrGev7PK8+C9a6E81/UxbaWJHD8Sug2FgqNcqttDiKGCx1bsY8V9U6V7TOgUnCmupMaoJZRd6sUXOyTj26Ey3sojs4by7f4ciisNvLftJL/r3YOw8x7kqo59p/0H0G0IDLpC05k/vc1+jLXS/dAXMOlXmhRa/hHIP6q9VmmLiq6uAPsqovlD8TDAbNtnQs9y0wyWm2Y0OL53l7AGixx6ncLLtyWzMi2Bp1NubHSRTWeib9dwnrw2iQGr/gS4/n2QulS+lwWfQUpI/QWreasuUEuK+jlrD+ay6VgBACMSolgwqXOv6PocJiMUpNu3Kwu8Y3pTj093ZbmdX5bifl4QmsO589VUGUyM0Dk8YPioXrwgeIWRcwAIxMgsfQplNUZOF1V6OSihM2A0mVn8URqPrtjH7lPF9FW1iukTagJBgYGYm2hCrygKcy2yKDVGM6v2eqjArk/XgXY5yYx1UFPu/vhOxLnSam5+Y7stEd+7Syif/Woqg53pTjujPB/euw4KjmrbcUkw++n200RWFNu1LlgxcIVuF3uySnhv68nW/yxB8EHSHfTiB8e5+Hdr1YuHdk3Gx4QF8ajFzNVkVnmv+mL3J0T1qrtdkA7bX62biHfk+A/w4VxY83vY/a52nCUR746eShEA8VHB3HNRf5u+uSucemRgL7L57L6pIunrgnnJiQwIKnF/UNEJ9/OC0I5IMt4fUFV7Mr77UJ+QC2kJVbUm/va1vdL/L9cnyReJr7H347paa460tulNE8gpqXI7f9bDvCA0hwybeetJ+84ekowXBBuj5tqG1+u0744DZ0WqRmh7VqZms+agpjseTTldFa17LlPtwebjBaxM8yBV4IQ5ExJt2rzLdzfDCHTY1dqrqUZL4HRCjCYzy1KymLNkK1P/+SPXvLyJq17aZJO4GBQXwfJfTqVP17DGvWFFIbx/PeQf1rbjRsDCr7RK1fbURLYk4wFuCNCSds+uPUqWLD4KnYB0h+5kp+atUC8Z377Fdjcn92ZMYjQAz+ZO4GzCFc4PHH4tPLQffnMIrn0Jhl4NgeFN+zB9MMSPolSJcntYvtKdT+6dzNbfX8afrhnBb64Y0mRfJ6FxKIpCZJz7vzm1Ml+rjm/iQr0gtAWSjPcHys7ZV147gHnrko0ZZFuSpjeO68XEfl28HJHQAE+mN6ke5tuIhJhQt/M9PcwLQnPItJi3jnA0b/VxmRpBaFdi+9mMK6foDtGdYtGNF9oFx465gYq9ij1T1YxYm9Mx1zMmlIsGaVrxe7NK6iSgGsWwa+xjBwO/zkL9boWzpdUcOHueospaAJJ6RrHsl1PoEd1ILf/KInj/Ort/VvdhcOdXEN5EPf/WoNsg2/f/RboDxHKeKoOJP3y+H1WSO0IHx7qYBjDYlUyNLRmvtIqRclPQ6RT+ajFzNaNjTv4vqLrqZdfdM9G9YMJdcOtH8NgJCPNwTQmOgls/gftTKf9dFi8Mept/1N4CNMztWre/CbiMyQO62goPrb5Oz8wdTXLfWHpGh5DcN5Zn5o7m1dvGS4FiC9nT7VrA9e9DUc1ap//Ke6Gmid/tgtDKSDLeH+hA5q2nCyt5fWMGAOFBeh6fPczLEQlO8WR6U9qMSrFW4GYPWqKuWvsEoSVYK+NHWivjQ2Pb/QFDEHyeUfMA0Csq1+i3c9AiRSEIbYljx1x/5ZxtnGnuCTS/Y26ew/3Gcg8SeQ1IGAPRFnmG9O/AWNusGPwVx24FZ8yf2LvxPlHWRHzuAW2721BYuMq7BuojtU4gHSbuitkLwKZjBXzejC4MQfAnrAuTUSEBxEUGOz/IauAamQABLo5pQ8b0juEWy/NgTrmR5/MnNq57JiDYsxRw3AhqB87i3SM6pv/7J1768Rifmaax2jSR+l62igKrTRPZ22V2w48SyZk245lz413+Po6Ze2K2qsnvXwZvzICcfe0eoyBYkWS8P1DHvLVlyfj6baNzlmxlWUoWJnP7VHP87ZtD1FqMXx68fDBxUY2sihHal+heHua9k4icMyFRWvuEdiczv4IQahikWB60E8bQ4C5PEDo7STeCot1WXqffxv7sUqkUFdocx465AbqGlfHN7ZibOSKeqJAAAD5Py8ZgMns4wwFFsUvV1JTCyZ+aFYO/4snfZ9WeRurwVxXD0hvg3H5tu+tgSyI+roURtpCkG23Dn8Xstt0O/PXrQxSU13gpKEFoW0xm1VYZPyQ+soHJKKCVH1sr49tRL74+j8waRkyYJuv7zpaTHGtsd9O4O9xOp3W7hsue38CTqw5RWKEtsgYEBLDY8ACPGO4lxTyEbLUrKeYhPGK4l0WGB5l7Qb+W/ChCE8kurXX5+5hV+wx31v6B8sCu2sGFx+F/l0PK/0S2RvAKAd4OQGgEeYft4xYk461to47VKmdLq9l9qph1R/J4ZcE4AvRttz6z4Wge3x/KBWBg93Dumtq/zT5LaCHj7tAMW10x3v3NSlthbe1bmZbNW5syOWoxEpo2uJu09gltRkZ+OcOULPSK5UZN9OIFoSERcdB/OmSuZ5zuONHVZzhTXEXvLo3UhBaEZnBzcm92n9KkHAcoObb9JyzJ+OZ2zIUE6rl+bC+Wbj9FQXkt64/kMdNFMYBThl8DO5Zo4yPfwKDLmxWHP3LGg366024Fk1HzK0pbqnVnRsZDRb49sddloJaIj4xvg4ibSExv6DMFTm8j8lwK9yeH8XJKJSWVBv6y6hD/uXWctyMUhFYnq6iSGktBnUvT5cpCMFj+/XsxGd8lPIjfzRzKH784gNGsctNrW4kI1tMzNoybk3szZ0Ki82fGsQswp69Fd2RVg6ktgVO5Y1s/zGjXr0C9wm2T+nLfjIH8+cuDLD84g+WmGXXOkUKx9ichJpSzpdUsNzX8fQBsNicxvezvvBD4GtP0+zVvl28expyxgT36UYSlf0GMIY+SwDjKht/C+OsWoQ+QlKnQNkhlvD9glakJjm5RRbK7ttE1B881y+SqsdQYTfxllb3C/8nrkggKkD8/n2XsAs3cxhnDroYxt7ZvPA5YW/u+uv8iQgK1v6HCilpJxAttQkWNkZzSapJEL14QPONg5HqtbhsHRDdeaGPmTEhkWA8tMWSVqclXoykjrMWJkPmOUjVNNXLtMwXCLNV3qUvhuRHw1kxtbDY1OyZfRlVVvt531lYx6ooG3QomI3x2l6bjm7UDzp+B7N0OifgBcNfXEJXQNoE3B5uRq8qiuP30svxMq/ae5cfDud6LSxDaCEfvjMFxrvTiT9nHse1r3lqfeRMSbd1NZTVGcs7XsPtUMY+u2MeiD1MxOul2MqoKi2udV1XfUfZrzOhQFLhhbE9+/O0MnrwuifioENGA9yE8SdoG6hUKiWah4TGeNtyCUdVyCbojqxh/8CmGGQ7RgwKGGQ4xcd8T7H3hBoyGziU1J7Qfsszj65hNkH9UG8cNb5E0gqe20WUpWXUePFqTtzef5ESBZoJ4ZVIPLh7sRa1HwTM6Pcx9F/Z9oj04ntsPBu33x5hbnWvttTPBAXqS+3Zh8/ECDuWcp6SylpiwRmqQCkIjsV63kpQT9p2SjBcE5wy/FvOq36Az13K9fgtfZpcwe5QPJdCEDodep5AYHcTo/HUMUbSEebjOwPILjjP+ulktSoSM7BXFsB6RHDlXxvojeeSX1dDdlU5yfVQVAsOAQjAboCxb+y9rBxxbq91j6TvOY1h+WQ1PfHmA1Qdca8VbadCtsPdjONywEtVG8s8gqmcLI2xlRtwAqx8D1UTw4c956qZbWfj2TgD++MUBLujfhciQQC8HKQitxzEH89Yhrirjix2S8V6sjAf4cs9Zzlcbnc6tOXiO3y7by/CEKKoNJmqMZqoNJg7nnGfHiSLAeVX10PhInr95DEk9o+vstxaKtVUeRWg8cyYksu5IntMC1CuTevD03NF8d/Acn+0+w5IT17HTPJS3gv5NjFLR4HhVhfEVm9j59etccOMD7RG+0MmQ0mRfpygTjNXaOG54i94qx4OJVXNNrjxxrrSa/6w7BkBwgI4/XtOyn0NoJ/QBmsnNPWvhLoeHpLQPvBdTPaYM1KrOVBW2ZxZ5ORqhI2I1b03SWR4wgiK0dnlBEBoSEo150BUADNFlU3Jyr5cDEjo6RkMtN5/8E88E/g+dRUosTK1k4r4n0K+4S6u6biaKojB3glZZbzSrfNGUDtK9H0OpiyKYw6u0YocOgKqqfLknm5kvbKyTiO/jQp7KabdC6nvuP+Tw1y0Ns/WJ6A4Dpmvjs6lM73qem8Zpfks5pdU8u/aoF4MThNbHUXd9SHy9yniTUSve+v4J+778dK92AXkqQvxq71meXnOEl348xusbM3h360lLIt41kSEBDRLxgm9hlbR11akQHRrIvOTefPrLKWx69BIuvuwaTuJcgs5aAxt56ON2/AmEzkTHKcnoqOQetI/jk1r0VlYNLZfz0W1jpvrUt4eprNW+jBddMojEWNGP9Tt6jof4UZC7H459p+l5ejJ5bQesyXiA7ZmFXDmyCXqugtAIMvIrCMDIMMXSLh8/EnSyji0IrggYMx/SvwFgcO5qVPVm50ZvgtAKZG98hyuUnaiqk+ZRa9J73O3Nfv8bx/XiX6uPYDSrLNuVxc8v7t+4v+e0pe7nU5e2KK4WUV+fPbqX5hU0dkGTOh/zyqr54+cH+O6QXZalT5cwnp4zmol9IklbtYTIw5/U09+1dCvUlMGx77Xf0Zld7j+otIkSQe3FyDmQsU4bH1zJn655kI3p+RRW1LJ02yl2ZBZRVm0gISbUvU61IPgB6RafrujQwLodQlaZqfrdLdv+AyUnvdYF5KkIsTm0VeGi0Lo0tlOhd5cwHrp8COc2u5dU7G5opOm4IDQRScb7Oq1k3gp1Ta6cERigw2xW0bXwRtFoMrMyNZtPd2VxsqDCph3ZOzaUe6cNaNF7C15CUWDCQvj2d6CaYc+HMP1Rb0fF6F7RRAQHUF5jZGtGgbfDETogGfnlDFLOEqxYqitFokYQ3DNkFtW6MELMlVxu3kxOSSU9Y8O9HZXQQQna9yHgRsWxhUnvrhHBXDY8jrUHczmWV87eM6WM7R3j+cRSD1X03kowO0ucnT/jVj7H8b4+p6SKHtEhDImPZPWBc5RWGWzH3TW1H49eOZQwPfDZXUx0+IwehgLY9wTkr4TIHpCxXjPOawwt8MtqU4ZdA1//Bky1sH8FsdMe4Y9XD+c3y/aiAkctlcRnS6vZfaqYdUfyeGXBOAL0sqAv+Bcms2rrFB0SH1F3QdKdzFQrLIg2F09FiIPjInjqplEEB+gIDtATEqhj8Udp7HfjddPA70LoEJQExmnfUS7oSgl8sQgu/T/fk0wT/Bq5G/B18hwr41uWjJ+ZFE+g3nWifXtmEb9ZtgeDE0OTxmI0mVn8URqPrtjH7lPFdUycukcEEyAVIf7LqHkQYOmeSF0K5ub/nbQWAXodE/vFAlrFRn5ZIx/sBKGRZOZXkKSctO9IGO21WATBLwgM5XTcpQAkKgWc2bfBu/EIHZrACg8Va62Q9K5j5OpB+sCGp+5BfZB37qMakzhzwGgy88CHu0j54mUez3mQ5dW/4A/nHsKUupSyKu2eq1/XMJb9cgpPXpdEWFCA+8/I2QPpa+om4sO6uY95/B2N/enal9AYsMhykX8Ycg9Ra3T9O11z8BwrmyJ1JAg+QlZRJTWWv+1BcfX04hvTBeQFPBl5/mLaACb268LoxBiG9oikb9dw7pjs3nS2gd+F0CEoG34LoMneOmLdVgD2fAAvj4cf/6Z1dglCKyDJeF8n95D2GtkTQmNb9FbvbT2FwaRdVeIjg20aWj+/uD+hgVpb6pd7zvKrpbupNjRP421larZTwwyA1KwSuQn1Z0JjNMMqgNLTkLneu/FYmDrQ/hC3PbPQi5EIHQ2zWeVEQTkjdQ7mrT0kGS8InjAlzbGNgw6v9GIkQkem2mDitNHDvXErVFVPH9LdJsvw1d6zjbtHHuchgVycCW/Pgpx29lXY+ab7+bV/hG8fgS0vw8HP2fDD18w59gjPBr5Bsi6dXkohybp0ng18g7cCn+Ge3jl8d0UhF5z7GNb+Hyy/G9Y87jmOuBEw/TH41RZ4+CgMv9b5ccOvhTG3Nv3nbC9G2a91HPiMZbvdL/4sS2nkYo4g+BDp7vTifbQLaM6ERK5Mci5f6tS7opnnCP7P+OsWkRp+cYMOO0WBveb+nFW7aDuMVbDp3/DyOEj5H9RWaYtNb82E55O019SlXvVKEPwLkanxZWorNQNXaLF5a3FFLW9u0t4rPEjPtw9eTNcIu97b7JE9uPudFM5XG/nxSB53vbOT/y2cSERw0/5EPkk57XZ+WUqWOI37MxMW2qumUt+DQZd5Nx7q6sZvyyzk2jHSPia0DmdLq6g2mBkRZDFv1QdB92HeDUoQ/IBe46+k4IcouinnGZD3A5gMoA/0dlhCByPtdAkrjTMYH5ju+qBWqKoO0Ou4YWxP3tx0grJqI5Of+pGBcRHudcDHLtBkX1xViAOc2QlvzICJP4dL/k8remgLTEatGn3XW3DOQ/K/uhh2vmHbvBxATwNNflWFS/T7uCT/YfiiifGEx8Ovt9XdN/dd7f4ydamWvItO1H53Y25tko59uzPkSggMA0MlHFhBTsVUt4dnF1e2U2CC0Hocyyu3jYfE16uMj+6lSV25wksyU1Yjz5Vp2SxLyeJsSRU9Y0KZP7E3c8Y7v2435xzB/9EHBDD6oZXs/Pp1Ig99TKwhj+LAOE71mcOjx5OoqanmZ/o1PBC8ilBzBVTkwzcPa4bFtRX2N/Ig+SYI9ZG/EF+m4Chg6Y9poUTN6xszKK/RNI/vuah/nUQ8wIS+Xfjk3inc+fYOCspr2Z5ZxG1vbufduy8gNjzI4/ubzSpf789h3xn3BhhifOLn9JkC3YZAQToc+RbK8yGiu1dDGp4QRXRoIKVVBrZlSGW80Hpk5FegYLbL1MQNhwDP10NB6OxEhYfxRdCF3GBYTZS5BDI3wuDLvR2W0MHYmlHACtM0HtKvoJfOyfd/K1VVG01mDufYK0NLqgzsPlXsXgdcp3edYI4fBasf0R7aVbOW/D74OVz2pMWX54PGG6u6M2OtKIDU92H3O3C+ZZ2pzioGXR+s034OV3Tp33CfPkDTlfaWqW1zCQqHoVfBgc+g+CQXd8ni0/NxLg8vqTKwNaOgTlenIPg6jpXxg+tXxo+7Q7uWucKLMlONNfJs6TmC/xMQGMQFNz4ANz4AQA9gONDtZBF3vr2TJbXX8WnlDF7p9QNTir9AMRvrJuId8aJXguBfiEyNL2OVqAGIS2r+25yv5r1tJwHNAf3nLkxUR/SMYvmvptLLYk6y90wp8/+7jdzzrs1PVFVlzYFzzH5pEw98nIbRrLo8FsT4xO9RFBh/pzY2G2DvR96NB62KYVJ/rX3sREEFOaWy4CO0Dpn55fRVcolQLNdAMW8VhEaT2WO2bVyV9qkXIxE6KlszCtFhJkKxfO/rgyCyF/SeDNe/CvPea5Wq6pWp2Ww+7tzcza0OuDXBfM9a+O1B7XXc7dBzDNy9Bq5/za6XXpEPXy2CVfdriS1rhd1Xi2H5Qi3pXh+rGetXixue88JIeGEErP97nUR8jhIPuNbGfdzwM2bUPMdttY/ze8MvKFPd37dXKGFw3Stw+wr49XZ47BRc85Lbc3xWA765jLRL1fwsOtXtoVUGMwve3MGiD1M5I1Xygp9wLFerjI8ODaR7vYI+xi6AQS4W231dZkoQPJDcrwvv3DWRkEAdRUSxIPsmXhr6Aaon+WgveSUI/oXXkvGKokxVFGWVoijrFUXZqijKLMv+oYqibFQUZaeiKCsURYlwOGeKoig7FEVJURTlTUVRAhzmrlMUZZflv3/U+6x7FUXZrShKqqIoi9rvp2wheQ7J+BZUxr+y7jjVBq1C5VfTBxIV4rpVvH+3cJb/agoDuocDWlva3CVbWbL+OHOWbGXqP39kzpKtfLrzND8cyuXaVzbzqw92czS3cUYWYnzSARhzK+gsf0Op7zd8ovMCUx2laqQ6XmglMvLLGelo3ip68YLQaMIHTuWMqiUaA9O/AYMslAqtR3mNkb1ZJUzSHSZasSQ1J9wNDx+yJ71bSd7kUw+mrc3SAdfpYNxtcP8uTaYGN6Xmh1fBmt9D+lrI3ACntkF2qqZd60oGp+wsmLUEvlkfwq4u13Cb7mkurHqO1aaJTivdV5sm8rX+ChbPvZLHF93Hk08+TU2XoW5/jMqYoVpyfdDlWvdYaIz2c/mrBnxzGHQZhEQDMKTge2aPcN4x2i3C3ln3zf4cLntuIy/+kE61wYTRZGZZSladZ61lKVmYPBQ5CUJbYzKrZORryfgh8REo9S8eOj30n27fDolp9QVRQfAmkwZ05a2FEwkO0FKnL6aZOW/00CntJa8Ewb/wpkyNHligqmqZoiixwEZgLfAScLeqqpmKolwP/Bl4RFGUQOBp4CpVVQsVRXkQ+CXwqqIo3YDfABepqlqtKMoLiqJcrarqN4qijABmA8mWz12mKMpGVVUPtO+P2wxyD2qvik6TBmkGWUWVfLxT03HvHhnMwqnuXcJBq15f/ssp3Pn2Tg6ePU9WcRVPrz1qmz9bWs3uU8UNzrt8eDwPXjaYV9cfd2riKsYnHYTwbjDsajj0BRQeh1Nbod+FXg1pikO777aMQm6SvzOhFcjIq2Ca7qR9R8JYr8UiCP7GyMRYVpmmcF/AKgKMFVoiMekGb4cldBBSThRhNKvMCthl3zn8mjb5rBwPEostkmAMjYWrn4PT2yHXzaNJypvaf03AoATxWsDtvFU2mfMVdmmJxYYHuMm8ifn6DfRUCjmrdmWZaQYrTNMY3zeGuRPs91BBF90Dq+53qhmvKND14nsafrA7iR5f14BvDgHB2iJD2gcoZTn858YaVo4Y3UBz+qZxvdiYns/fvj7EycJKaoxmXvzhGMt3naF7ZDB7skpsb2l91nIpgyQI7cTpIu1vFWBwfb14K4csxhGKDhbv8rqEqSC0NhcO6sYbdybzi/d2UWsyc6wmmmRdrusTvOSVIPgXXkvGq6q6yWGzBKhSFGUUcFpV1UzLMV8qivKo5ZgrgTWqqlrLXpegJe9fBW4F3lRV1aqn8rRl/zfAPcCzqqqV7yqK8hxwN/Bwm/1wrUXeYe21y0AIbJ68y4s/HLNJxyy+ZBBhQY37lXeNCObjeydz3X82c7LQfRvltCHd+e0VQxjbWzOeEuOTTsCEhfYbr9T3vJ6MHxIfQdfwIAoratkqlfFCK5FZUM591sp4RQfxzZcLE4TOxsie0fzdNJX7AiyVu/uXSzJeaDW2ZhSgYGam3pKMD+0CfdybZzaXhJhQzpa6lmzs0ghvJY9UlXg+ponkmSN4ocwuH9ElPIhh8ZFszSxkuWkGy00zGpxTv4NVN+42zMe+Q3ekbgW+ooA67Fp0Yxc4/3B/1YBvLiPnQtoHAAQcXMH8a190qjl92fB4Lhrcjbc3n+Q/645RWWsiu6SKbBcLOlYZJNGvFryFo178kLiIhgcUn4Ls3dq4/zRJxAsdlulDuvP6HeP55dLdfGqaQbIuHZW6fW227Y4mxya0CV5fZlcURQf8G3gLGAQcrXdIkaVyvs6cqqq1gFV/MQt9AAAgAElEQVRvpf7cOSDe2RxwzLLPWSz3WqVu8vPzm/0ztQqVRVBuqS5vpkTNsdwyPk/TWmR6xYRyywVNu5GLCgkkNsz9A8bQ+Eje/9kFtkQ82I1PPrtvKlsfv4zP7pvK/OTekojvSPSfATF9tPGhL6GqYadEe6IoCpMtUjXZJVVkFYkOp7/iK9fhsmoDueerSbJWxncbAkFhXotHEPyN6LBAymOGkm7upe049n2bJByF1sdXrsPu2HK8kLFKBj0Uy/3H0Ku0BHAbcLOHROiposo6CatmEd3L/XzsAK2CftZTcNmfYfrvqQxxbRQKcFbtRliQnhvG9uSduyey4w+XsfTnk7gyqYfT4512sOr06Oa9q0lO9J4MUYk2CQplvkhQ2Og/DcItv49DX4LJ4PLQ4AA9980YyPrfzeCmcR5+7zRTBknwa3zpGnzMMRnvrDL+4Of2cdJN7RCRIHiPS4fF8+qC8XypTtck3+rNK8CRkDEYR97sjfAEP8OryXhFUeKAD4GfVFV9A+3v15k4nupizrrd3Lm6O1X1DVVVk1VVTe7e3curulaJGmi2eevz36djlRp86PLBBAc0/YbZnXkraAkroROi08E4i5GrsRr2LfduPNTVjd+a4dxoTfB9fOU6fKKggh4U0VWxPISIXrwgNJlRiTF8ZbJUK5tq4MjX3g1IaBS+ch12RXFFLYdyzjNL3/YSNQBzJiS6TGADlFUbueWN7Rw8W9r8DxnnoYpu2sOatvyURXDxbzFOe4xXVO1h35UZ67rQWez64+W8eMs4LhkaR6Beh16n8MqCcTwzdzTJfWPpGR1Cct9Ynpk7mldvG++8cMaVEa0k4u3o9PbOn6oiTdvfA/FRITx/81i6eeisaJEMkuCX+NI1+FheuW08KN5JZfzBldqrLsC1V4QgdCBmJvXg5gv6sdjwAI8Y7iXFPIRC1f5v43xlNSv35HgxQsFf8KaB6wDgHeARVVW/tOzOBOqLo3dVVbWk/pyiKEGA0dl5iqIkALnO5izj4630Y7QdjuatccObfPr+M6WsPqBV1g/oHs6Njai8cEZCjHt5nJ4e5oUOzLjbNOkO0KRqvGzkOmWAmLgKrUdGfjkj6+jFSzJeEJpKUs9ovjI7SIfs/8x7wQgdhm2ZhYDKTF2KtiMwHAZc0maf5yqB/Y8bRzJtiJYoK6qo5dY3ttfR/W4SYxc0yvS02mBi6baTXPLcBl4vneTWjHWVOs2pPKV0sLYRI+faxwdWNPq0vt3C3c7Ls5bgTdJztWR8TFgg3SOC604WZkDOXm08YAaEdWnX2ATBWxzKOY8JPctNM5hX+yQTav7LbvNgAC7QHSVji9zvCp7xZmX8k8DPVFW1WQ2rqroHGKIoSl8ARVGuBKza8muAay2SNQA/A5ZZxp8Av7Qk6AEeRJO9AXgfeFixACwG3m6bH6kVcUzGN0On+N/f2ZV5Hr5iaLONfzy15tbXlhQ6EVE9YfAsbZx7ALJTvRpO/27h9IgKAWBrRiGqlxcHBP8mM7+CJKtePEDCGK/FIgj+yshe0ZxW49ljHqjtOLERytwYXglCI9iaUcBgJZsBOouc4+DLITCkTT/TWQL7tkl9efPOCVwxQlPGPF9t5Pb/7SDlZFHTP0Cnx3jT2+wc/TcOB47gHN04HDiCnaP/hmnOu5TWmHl1/XEuenodf/ryIFlFVZjR1anMy1a7kmIewiOGe1lkeJAesU6qWIW2I3EiRFueiw5/DYbGVbTLs5bgq5jMKhn5WjJ+SFwkSv2VvzoSNTe2Y2SC4F0aGrsr/NNwq23r5tK3wWxq36AEv8NrBq7AVODTehf1n6Ml0j+wJM6z0ZLuqKparSjK/wFrFEUxAnuB+y1z5xRFWQJsscytUVV1tWUuVVGUTcBOwAS8rarqIXydXEuIAaEQ269Jp+48UcTGdE1fLqlnFLNHum6t9cScCYmsO5LHmoPnGsw51ZYUOhcTFkL6am2c+i4kTvBaKIqiMGVgVz5PyyavrIbMggoGdpcHUaF5ZOSXc6NjZXyPUV6LRRD8lZE9owBYZZrCWF0GqGZ49QLoPlST5Ri7QKQuhCazNaOQq6xV8QDDvCeNEByg57XbxvObT/fw9b4cymuM3PnWTv63MJkLB3Vr9PsYTWYWf7KfNQcHAn/UdlYDO6F/xmbyyqupqLE/2Ot1CmMSo0k9XdJoM1ahjdHpYORNsOUlqC3TfDJGXOfxNHfPWsEBujqdn4LQnpwqrKDWaAZgsFOJGksyXhcIw65ux8gEwbs4M3bfpQ7je9MErtDvZoCaBXs+EiNXwS1eq4xXVXWQqqoz6v13XFXV/aqqXqyq6kWqqt6sqmqFwzkbVFWdpKrqhaqq/lpVVZPD3DJVVSeqqjpFVdW/1Pusly1zky3a9L6NqkLeYW0cN6xJD6qqqvLs2iO27d/NHIquBW2nzdKWFDoPg66AyARtvH8F1LTQwKyFTKmjGy9SNULzycyvYIQ1GR/TF0Jj3R4vCEJDukYE0zsqkAt1++07q0sgawd8tRiWLwST0fUbCEI9zpVWk5lfwSy9JRmvC4QhM70aU6Bex0u3jLMVqFQZTNz9bgrrj+Y1+j1WpmY7TcYCnCissCXiQwJ13DW1HxsfmcHyX01tmhmr0PaMnGMfH2icTEH9Z62EqGCiQwMBqDGauee9FEqrxKNLaH8c9eIbmLfmp2ud0QCDLpP7ZKFT4aqj6WnjzZhUS35s/VNQW9mOUQn+hjcr4wVXlJzWKiqgyeatG9PzSTlZDEBy31hmDG256Yu1NXe+hzZKoROiD4Cxt8Gmf4OhAg6s1KrlvYRj9dD2jELumNzXa7EI/ovJrFJckEOvAMuCjujFC0Kz+XnUDi6t3Yuq0kDbmsOrYN8nmhmkIDSCrRkF9CKfUdbF0gHTISTaqzGBllB9du5oggN1fLTjNLVGM/e+v4tbJ/bhYM55ckqqSIgJ5ebk3syZkFinmKW0ysD/Nmd6fP9FMwaycGo/ujroNr+yYBwr07JZlpLF2ZIqesaEMn9ib+aMT5SCGW/QYzR0HQSFx+HwV/DccIjp7bETqP6zVmWtkVvf2M7eM6Wk55bzq6W7efdnEwkOkE4iof04lmsvshocV68yXiRqhE6Mq46m42oi26Jmc1HZt1B2Fna8Dhf/1ktRCr6OJON9kWaat6qqWkcr/pFZQxtquwlCazP+Di0ZD5qRqxeT8b27hNG7SyhZRVVsyyzEbFZb1BkidE7OllQx2HzCvkP04gWh2VxR+x3gJBFvJXWpJOOFRrPleCEz9bvsO4Zd471g6qHTKfzjhpEEB+h4Z8tJDCaV97efss2fLa1m96liPtxxigsHdSM9t4zDOWVkN9CebUj3iCB+O3Nog/1SMONjmE2gWBrPVVVLxpSd1bqBjq2Fue9qhSweCAsK4H8LJ3LTki22e9rHPtvHCzePlWc7od2wmrcCDK5fGX9wpfaqD4ahV7VjVILgfawdTSvTsvlk52n2ZJVgViE8WE/y3c/Ca+vBWAWbX4QJd4m5seAUbxq4Cq6oY946otGnrTlwjgPZ5wG4eHA3JonGoNAexPaDAZdo4+zdcO6AV8OxVscXVdSSnudd2RzB/zCazLyz5UQd89afynpiMoshsCA0hy7GfPcHlJ5pn0AEv0dVVbZlFHClRaJGRfE5nWJFUXjimhFc4qYzde+ZUl7bkMEPh/MalYgHSIwNa60QhbZk78dQkO58ztoJ1Ei6Rwbz7t0XEBOmSdZ8sedsnaIrQWhr0i2V8bFhgXSLCLJP5B2GfIss7uArICTKC9EJgnexLoav/PWF3G7pxq+oMbElNxCm/Fo7qKYUfvq3F6MUfBlJxvsiuY6V8e5laowmM8tSsrjptS3c/3Gabf9vrxjSVtEJQkPG32kfp77vvTiAqQPthmlbj4tuvNB4jCYziz9K4+0tJxmps1fGP7wJFn2YitFk9mJ0guCf6GI86FZHi6610DhOFVZSXZpHsqIlJJXekyAizstRNURRlEZrfCfGhnLFiHguG+b+5xAzVj8hban7+VQP8/UY2D2C/92ZTFCA9sj+6voMPtpxurnRCUKjMJrMfLzjNEfPacl4g0ll+a4z9sKUAyvtB4tEjSBwk4NHy8rUbLjwQQi1VMOnvAnFp1ycKXRmJBnvS5iM2k3a0W+0bV0ApK/VWh6dYE0cPbpiH6mnSzA6VG7+d2OmJI6E9mPY1RBm6cTY9wkYGlfp1RY4mrhuy5RkvNB4HA30RijaTVOeGkM+Maw5eI6VadneDE8Q/JKgZE26THXVXDL+jvYLRvBrtmQUcLl+N3rF8sc03HckaupzrrTa7XzX8CD2PTmTzY9dypt3JvPGnclixtoRKPVwn1CS1eS3TO7XhRdvHmuT+vrTlwdYf6Tx5sCC0BSs+YXHP9+P9Wu7vMbIoyv2aYUpRpNdoiYgFIZc6bVYBcFXGJMYzYDu4QB8fziXUjUMpj2iTZpqYf0/vBid4KtIMt5XMBnhs7vgq8X2RKbZCKvuh+ULtfl6OCaO6iOJI6FdCQiGMbdq4+pSOPSV10KJjwqxfRluzywUeRGh0Xy6Kws9Jm7Xf8dAXQ4AwdQyT78BHVoXkiAITWTsAnaHXeRcM374tfbvDkHwwNaMQmbpfFMvvj4JMaFu5/t3CycqJNC2bdWffWbuaJL7xtIzOoTkvrE8M3c0r942XsxY/YXoXu7nK/Jg++tgcL9YU5+rRiXwf1dpPmIms8qij1LZf6a0uVEKgks85Rd+/GmdZlAMMGQmBEc4PVYQOhOKonDTOO36X2s08+3+HJh4D8T00Q7Ytwxy9nkxQsEXkWS8r7D3Y01L0BkuNAY/3eU+MSSJI6FdGe9g3Prtw/B8Erw1U+v2cNHd0VZYdePLqo0cOnu+XT9b8F/yist5JfBl/h74rm1ftFLJs4Fv8GrgS+QWl7s8VxAEF+j0bBr7LI8Y7iXFPASzYjEv1AXC9a+BTu/d+AS/wGxW2Xv8DBfp9ms74kdBl/7eDcoNN3swVHUmO2PVn/3svqlsffwyPrtvKvOTe0si3p8Y56HTx2yANY/By2Nhx3+blJS/56L+3DW1HwCVtSZufXM71/xnE1P/+SNzlmxlWUqWFKAILcZTfqFi13L7hkjUCIKNG8bZF2NXpp7RihUvfcKyR4Uf/uydwASfRZLxvkIzNAZzPJg+nW2kKZQgtApdBti10WrK4PwZyNqhdXu46O5oK+roxmcUtNvnCv7N3MDNzNanNJDTUFWYrU/hlpCt3glMEPycpMSuLDfNYF7tk+ztc5e202yAEz95NS7BfziaW8aY6hSCFcu9hA9L1ADMmZAosjOdkbELtI4fZ8T01RYhAcpyYPWjlqT8G1BTrj3rvTXTZTGLoij86ZoRzBwRD2jSIQeyz3O2tJrdp4rtMiIiUyq0APf5BZVJlRu0YWA4DJ7VHiEJgl+QGBvGpP5aLiTlZDGnCyth5BxIGKMdkLEOMtZ7MULB15BkvK/gSWOw9EyDXZ5aYHt6mBeEVmXvx1BV5HzORXdHWzF5QBfbWHTjhcYys+Y7gAZyGtbt+foN7RuQIHQQRvWKto1/VJPtE0e/9UI0gj+y5XgBs/Qp9h0+LFEDIjvTadHpYe67cP2r0HsyRCVqr9e/Cg+kwQOpMOHuekn5R+DZgVrxStYOt8Usep3C9CHdXX68yJQKLcVdfmGkcoJe5GobQ6+EoLB2ikoQ/APHhfbP07JBp4PL/2I/4PsnwCwLpoKGJON9BU8ag9ENK2jmTXBfVeOsBVYQ2oxmdHe0FV0jghnWIxKAnSeKMEiVkOCBrRkFRBncG6J1M+W3UzSC0LHoGh5IRLAmT/Pf45EU6jQpMTV9TbvLmAn+ScrxHC7R7QHAFN0X4pO8HJFnRHamk6IPgHG3wz1r4bcHtddxt2uJ+pg+cO2LlqT8XaCzyHYZXcjVOClm8ZRsF5lSoSXcNM51TuIa/Xb7hkjUCEIDZo/qQXCAlmJdmXYGVVVh4CUw8FLtgHP74MAKL0Yo+BKSjPcVPGkMjm84H255sHWGtMAK7Y6n7o6S9n04mGzRja+sNbFPTK4ENxhNZv7y1SFy1K5uj1OcLIoKguAeo8nM/R/vobxGq+40mBXW1I4FQKksxHhqu7vTBQGjyYzu5E9EKpp8gn7EtQ1bmATBn4jpA9e+BPenQrjrSncAUt6usykypUJbYq6v1WhDZV6IpTspKBIGXdFuMQmCvxAZEshMi0TdqcJKUk+XaBOX/wWw3Ld8uQieG+E1bz3Bd5BkvK8wdgGExzmfG34tjLm1zi5VVVmyIcO2PSIhUlpgBe/iqbujqhCOfEMDQe42YupAe2J1m+jGC274YPspjuaW8alphvsDnSyKCoLgnpWp2aw5eK7Ovu/NE2zj45uWtXdIgp+xL7uUaaYd9h2uNLkFwd+I7Qv6YPfHnN0NH90CB1aCoYqEmFD0mJin38BnQU+yJfh+Pgt6knn6Degwi0yp0GwMJjOvb8wEQKfAqJ5RtvzC/y5T6Gq0SNQMuwoCQ7wYqSD4LjeNr2fkChA3AqJ6amNTDZRle81bT/AdXJdWC+1LdaldbzswTDPCjE7Ukj9jbtVaGx3YmJ7PoZzzAFwytDvv3H1Be0csCHUZd4f2peIKYzV8sgD6XgQz/wa9xrdpOJP6d0VRtNz/1oxCFl86uE0/T/BPCstreP77dABWcTFP699HZ3LSLu5kUVQQBM98uqthV9RWcxLlaggRSjVRp77XLtRS6Sy4YPvxPObrdwNQE9yN4ES55xU6ENG9NJ14d6Sv1v4LiuS57jPICzzKBfp023QvpZBkXTqX6tIon/BmGwcsdFS+3HOWbEtnxQ3jevH8/LH2yTV/sI9FokYQXHLxoG50iwimoLyGr/fl8MS1Iwje9zGcd6EiYJUjG3d7+wYqeB2pjPcVjn4LZsuK2LRHGmoM1uO19faq+F9fMqi9ohQE14xd4LpaLTLBPj61Gd68BFb8AgpPaO1Zb82E55NatV0rOiyQkT0108Ddp4qpNkgLmNCQf3+Xzvlq7dr7hzHV9kR8WLe6xmvz3nN6LRYEwT3OJBVqCeQn82gAepqyoeBYe4cl+BH5h36im6IVoDD8as0QTRA6Cp6kSqMcOk9ry+iXvYoL9OkNGk1VFWbrU5gTsLn1YxQ6PCazymvrjwPa2vivZzjkF8xmOPi5Ng6OtutfC4LQgAC9juvHalXwpVUG1h/J8ylvPcF3kLtZX8H6BQeQdIPbQ3eeKGLnSa2K/oJ+XZjYr0tbRiYIjUOnh7nvaonL3pPrJjJ/cxB+thZ6JduP378MXhmvtWdl7dCqglq5XWuKRaqmxmgmzarZJggW9p8p5ZOU0wDERQZzS3iqffKG1zwuigqC4JkEF5IJ35vsUjUc/aadohH8jWqDiT5562zbwSOv82I0gtAGuCtmGX4tPLQf7tsKFz5UJzFfv5nIuq1L+6CNAhU6MqsP5JBZUAHAVaMSGBQXYZ88sxPKzmrjYVdDgAdpJUHo5DhK1axIzfbsrVfqoTtK6JBIMt4XqCyCzA3aOGEMdBng9vDXNhy3jX99ycA2DEwQmog+QEtc3rO2YSKzz2T4+Q8w9x2I6asdr5qdv4+1XauFTHHUjc8sbPH7CR0HVVX581cHbJVlj88eQtDRVdpGcDQMuMR7wQlCB+Lm5N5O968zj8OoWm5Dj3zbjhEJ/kTqqSIuRzMNrNZHQL9pXo5IEFoZd8Us1q68+CS44i/w0AEIc2/4qpY2lAYTBHeYzSqvrLPnFxbNqNd1f2ClfTzypnaKShD8lxEJUQyNjwRg/ZE8DBEJ7k+ITmyHqARfQ5LxvsCRb+wSNSPcV8UfPFvKhqP5ACT1jGL6EPc3ZILgUyiKdhO3OAWi+7g/thXatSb262IzMhYTV8GRz9OybQ73E/rGckO3HLtm67CrICDIi9EJQsdhzoRErkzq0WB/KRFkho7SNs6kQHleO0cm+APH9m2nt0677z2feKlcm4WOibtiFkd0OujqvmirJCi+DQMVOiI/HsnjyLkyAC4fHseInlH2SbMJDn2hjUNiYMCMdo9PEPwNRVFs1fFGs0pK7NXuTxjvQa5M6JBIMt4XsH7BgUeJmtc2OGjFzxiEIoZngj8SEOy6Kt5K3mGoKW/Rx0QEBzAmUdON35NVQmWtOJULUF5j5J+rjwDa+tBfrktCOfSl/QAPi6KCIDQevU7hlQXjeGbuaJL7xhKkt9+3xE20VtipkL7GOwEKPk3ocbuEUfR4MQ0UBE8a8ytU6ewTGo+qqryy3qEqvr4X3eltUJ6rjYdfC/rAdoxOEPyXG8b1wlITyLO5E1zLkQ28DMbc2n6BCT6DJOO9TRMkajLzy/l2fw4AA7qFc+XIhpVmguA3RPdyP19TCi+Ogp+eharm671bpWoMJpVdJ4ub/T5Cx+E/646RX1YDwC0T+zAyIRKsyfjgaBgoD7KC0JoE6HXMT+7NZ/dN5Y/XjLDt/9403n6QSNUI9SirNjCmXDOjrCWQ4GEzvRyRIPgA7jTmgYPnKskqqmzHgAR/ZvPxAvZmac9ZFw3qxrg+sXUPEIkaQWgW8VEhXDioGwBpZ8rImPGKXY4sxOHfWcJY8SbrpEgy3ts4StQkua/4+e/GTJu+8a9mDLTJbwiCX+KhsgeAqiJY93ctKf/j36CiUDN2TV0Kb82E55O019SlWhulE6YO7GYbi268kJFfztubTwAQFRLA72YOgezd9SRqxJhKENqKK0f2sBkNfpIRAN2HaxuZ66FWEkiCnQP70xiq0/Svs7pMhuAID2cIQifAmcZ8t2G26b8HvM3ajZu8F5/gVzhqxS++tF5VvMloL1YJ6yqeHYLQRByNXD/fk2uXI/vNAQiy3NPs+VD7tyZ0OiQZ720Ofm4fu5FGOFtSxco0LVmUEB3CDWM9VBULgq/jrrJn0BUweREEhmnbNedh07/hxZHw6kT4ajFk7dASqFk7tO3lC51+kU3oG0uQXrvUbc2QZHxnRlVV/rrqEAaTtqr58MyhdI0IrisVJhI1gtCmxEWGMKl/FwB2nyqmvL+l2tlYrSXkBcFCxV77tVkZfp0XIxEEH6O+xvziHdROeQiAcKWG6Xt/R21VhZeDFHydnSeK2HGiCIDkvrG272Zb4dPrF0KlxXOr+zAQeVxBaBKzknoQFqRVvX+elo3ZbKmsDY6AUXO1cfk5OLbWSxEK3kSS8d6ksghObNTGCWOhS3+Xh765KdOWQLp32gCCAuRXJ/g5zip7ek/Wthd8Clc+BQ8dgIt/B8EWIyFDJRRlOn+/w6tg3ycNdocE6hnbJwaAvVklTH7qB+Ys2cqylCxM1i9EoVOw7kgeG9M1I8BhPSK5bVIfUFUHiZookagRhHbg6lEJtvE6Ndk+IVI1ggM9c34EwKjqSJwk8giC4I6gy//EqfDRAAzmNDmfPujliARfx1ErfvGlFi86kxE+u0srdMo/Yj/41BaXhU+CIDgnLCjAJi2dXVLFzpNF9snxC+3j3e+1c2SCLyAZXW9SR6LGdTVmYXkNH+88DUCX8CBumdinPaIThLanfmXPPWu1batuWnhXuOxP8NB+uPSPoAtw/36pSxvsMprMFJXX2rbPna9h96liHl2xj0UfpmI0eTCSFToE1QYTf/36kG37z9cmEaDXaRI1pZoMAkNFokYQ2oNZI3vYTK3eOxkLERYPnPQ1LiXHhE6CpSLTsGQaI0xaIigvsBdBEbEeThSETo4+AMON/6NI1aQP+p5cDvuWezkowVfZd6aEnywFKqN6RTN9SHdtYu/HWoGTM1wUPgmC4Jo54xNt45WpZ+wTPcdBD20BlePfQ+kZhM6FJOO9SSMlat7depJqg5YwvOei/oQGicGD0MkIjYFpj0B4nPvjnHyJrUzN5nh+udPD1xw8x8q07NaIUPBBjCYzy1KymLNkKxP//gOnCjU96qtGJdiMfetch90sigqC0HpoUjXav8HdWeep6HeFNlFZAGdSvBiZ4FVMRszL74KvFhOYu9e2u6cxC3WZVGQKgicGDRrKkthHbdvmVQ9CwXE3ZwidFUet+EWXWKriAdIaFjbVwUnhkyAIrpk8oCs9okIA+Hb/OapqLUUnigITLNXxqhnSPvBShIK3kGS8t2ikRE1ZtYF3t54EICI4gNsn922nAAXBB4np7X4+OrHBrk93Zbk9ZVmK+3nBPzGazCz+KI1HV+xj96liymrsSZyKGqPWEdFAouZSL0UrCJ2Pq0bbpWo26yfaJ45844VoBF/AtOcjdEdWodZTkFNVUI6swrTnY+8EJgh+xIjpc1hi1DyZdIYKWH4XGKq8G5TgUxw9V8Z3h3IBGBIfwcwR8fbJUg9FSlK9KwhNQq9TuGGc5vdYXmPk+8O59slR8+weealLpTu0kyHJeG9x5GsHiZobXR72wfbTlFVrx90xpS/RoYHtEZ0g+Cbj7nA/72RRK6fE/QPIWQ/zgn+yMjWbNQfPOZ3bmJ6vdUTUkaiZLRI1gtCOXJlkl6p562wfCAzXNo6u9l5Qglcp3vwW0NAj0LpdZJkX/p+9+46zoyofP/45e3eTkEIaIZ0mvQRIA0L9ij8M0pRAkCJIMUgRFBVF9IvliwoqKEWUoiA9hIBSEkEgVAkp9F5CCGkkIY3U3bvn98dMspvN3t0kZPZu+bxfr30xM+fMvWfYzXNnnz3zHKmwQ3ftyU1lJzChcvvkwOxXYexFxR2UGpVrn1hzVnxJSbWg27F33SfXMvFJUt2O7l/172qNUjVtOsIu6Zo4iz6G9x9v4JGpmEzGF8vr91dtFyiNsLw8z03PTAGgdWkJp+1beIFXqUXY4wTY6YjC7S/fCc9dvcahnp02qfMle9XTrqZpnZ6IWKNETeE/ikra+Lp1aM3e2ySlal6YtpRlWx6UNMx7F+a+W7yBqWiiMzKlz61NWY6vDdyK81Z+Z3X9eCb9HV4dVdyBqVGYMgLpnmwAACAASURBVHcJD74yA4CturZdY0F1oP6JT/3raZe0lu27d2DX3psC8NQ7c/hk8fKqxgHVF3K9uWEHpqIyGV8MSz+FD8Yl2732hM5b1drtnonTmPvZCgCOG9SXbh2ctakWriQHx9wMR10LffeGTfsk/931mKo+j/wUnvgNq55zP25g3aVthg+qp/SNmqR6n4iYvxTe+FeyY4kaqSi+Ui0J8EKrwVUNlqppkWbGLnW2z4hdG2gkUtN2/OAtmElXLig/q+rgA+fDvPeLNyg1CteNe4/KtBTY2QdtS2muRjpomwOBsNZ5QDIhavfjMx2f1Fx9dY9kdnxlhC/94UmGXfccIydMI99rIHTbKen09hhYXPuT3Wp+TMYXw1sPQkzrQRVYuLU8X8lfnvwAgNKSwIgDtmmo0UmNW64U9jwJTv83XPB68t9jboIjr2H1zeOTv02S8jEybEAfhu7So9aXGrpLjzVWOFfzUd8TEQe0nwYLP0p2LFEjFcXQXatK1dw4e3sI6W2ppWpapKfaH1rr8VU15J/pUHu7pDVt0609+27blXGVe/KXtH48Kz+DW46EG78EV+wCNx1ijeIW5uP5Sxk9OXkCqVfHNqvrWK9h/F+BNOh22rJq4tNR18KxtyQToyStl4p8Jc++N3f1/qLlFUyaOp8L732Fc+54kXz/VQu55uGl24s0SjU0k/HFsEZphNqT8Q+8PIPp6czOo/boTZ/ObRtiZFLT1f8bSVK+pDTZ/+818MD55KjkmhP25PJj+tF/i06rEz9lucClX9uVXEmB2R9q0up7IuKbnV6q2inwR1FJ2dqsfWv2+UIy2/np6ZEVvdLZ8dPGw2dzijgyFcNL7Q9kZSxd63gIMCY/iM33/2bDD0pqok7ca0sAfl9xLB+13TU5uOhj+HhC8t9p4+Ff58I9p0C+oo5XUlNWka9k5IRpDLvuOQ658ikq0mnxIw7YhlalNVJBSz+FiX9PtjfpDGf/t2ri054nmYiXNtDoydN54u3a72vHvj6LB+L+kEsnhk26BSorG3B0KhaT8Q1t6afwwZPJdo0SNas+LI/+87NcOOoVIJnn66x4aR3tOgyOu73qw2zyLTB6BKXkGT6wL6PP3pfzD04WtCrPR0ZOtP5sc3XgDt0o9HeWoTt3Z4d5jyU7rTpYokYqosN267V6+8VN9km3Irz77+IMSEUx5tWZbPHRaFqFJCk4K3ZieuzKhMrt+WH5CP613a85esCWRR6l1HT8v527061DayooZeSS3Qt3fPMBeOWuhhuYGkxFvpJz73iRC+99hUlT57N0ZdVTEM++N4+KfI2E34SboHxJsj34TGjVrgFHKzVf9a1ldtvLi2Dno5KdBVNhypMNMCoVm8n4hvbmA1UlaqotGFj9w3LyRwtW/9U6Alc++s7aH5aSarfDUDjxHihLbyBfGwV3nwQT/gY3HcK5Lx/Fva1/zrG5cfzj2fdYWeG/rebo9uenrq6J2bvTJvTq2IaBW3bm8mP6ce3/BMLC9KZoh0OhrE3xBiq1cF/epfvqJ5RunrdzVcNbDxdpRGpoU+Yu4SejJjGi9EEAKkIZ/9vtao5tcwOX9fwTg752HtecNMgn2aT1UJYrWf2U4EFxQt2dJ9/aACNSQxs9eTpjX6+9/vSjb85m9IvVFs1euRTGX5dsl7WFwSMaYIRSy1DvWmYLlsGAb1YdmHxLtgNSo7D2s6DK1hv3V22v+usXdX9Yjn19FqNfnM7wesouSEptcyCc/E+4fRgsXwjvjE2+gBwwIMCAsncYs/xFxry8I0c5265ZWbYyzz+enwpAu1Y5Hj5/fzpuUlbV4ZHrq7YLlAqT1DC6tm/NPtt05Zn35jJ2ZjvKe25H2fx34f3Hk+RAK8v0NWfLy/OcddskhlY8To+y+QCU9j+R6484ssgjk5q+rw/uy7Xj3qNnmFd3x4U+Kdoc1Tcbd+SEaVX5hZduh6Xpz0n/k6GdC2ZLG0vPTpswY+Hygu29Om0CW+4DXbeDee/Cmw/CkrnQbrMGHKUamjPjM1K9PtuQ3zzGsOue4/5nXyGuLlHTnzmlPXnirU+46rF3ufThN+t8vZET6v4wlVRD30FwyoPQqn2tzTHCobkJTHn8JuKq1eHULIyaNI0FS8sBOH7wFmsm4mOs+qNoqw7whYOLMEJJ1R3Wr+fq7dc23S/ZqFjmY7otwP/+8zXenbWAb+ceACCGHOz73SKPSmoe+nRuy//ssDkzYz2J1Y59GmZAalDrNBsXIF8Oz16VbJeUwj7nZDwyqWWpby2z4YP6Jgvk9D85OVBZDi/d0QAjUzGZjM9AzfpsMxYuZ9LU+fz34X8Q0hI118zelUGX/odTb57AFY++w8Jl5XW+5ox6Pkwl1aJnP+hS+5oLIX3afd/FYxg/5dMGHJSylK+M3PjMFAByJYFT99t6zQ4zJsOCj5JtS9RIjcKXd+mxugTJHQt2rWp466EijUgNYeTEaYyc+DFHlPyXLUs+ASDsdgx02bqeMyWtqxP32oK78wcBSfnTWvX/RkMNRw2oZ6dN6mzvtar99ftgYXpvvNux0GmLjEcmtSzDBvRh6C49am1r37qUo3ZP10/a4wQoSSeRTb4lmUSmZstkfAYKlZw5rOT51dt3LR2wXq/Zq54PU0kFLK070d4rzOPGp6c00GCUtUden8XUeUsBOLxfT3rXjJ2vVysVZokaqVHo0q4VQ76QzNwcNbs7+bbdkoZ3xkJlvo4z1VS9MWMRP7v/NQKVnF36z6qG/S4o3qCkZuigHTbnv+3+H2Pyg6h11YXWHdZYx0zNx/ABdT/xMHxQ3yTZ98wfqw7ue37Go5JanlxJ4JoT9uTyY/oxcMvO9OrYho6bJBXDP1tRwchVJaXabQY7HZ5sz3sPpj5bpBGrIZiMz0Bt9dk6s4ghJa8D8FLlNtBpCw7dtQcXDt2BW08fzCWH77zWOdUNH2S9eGmDdOxdZ/OM2JXH3prNlLlLGmhAykqMkb8+9cHq/W/tv03NDpaokRqpw3ZLStVESninY1qqZskcmD6piKNSFhYtL+fs2yexoqKSQ0omsX1JuojgjofD5jsWd3BSM5MrCRy319acW34ePywfwexOe0CH3tB606TDisXw+KXFHaQy0aF6mcYahu7Sg2H9+8C7j8InSY6C7Q+FzXdqoNFJLUtproThA/sy6qwhPHfRwYw+e19K06dC//DoOyxYujLp2P+UqpMmuZBrc2YyPgO11Wc7JDeJ0lAJwFOl+/HMj77IdScN4OyDtmX/7bpx8pCtCj66svrDUtL627PuR29H5g8iRvj7s86Ob+omTp3PS9MWALDvtl3ZtXfHNTvMeLFaiZqhlqiRGpFDqpWquWdJv6oGS9U0KzFGfjTqFT6ctxSI/Kjdg1WNB/ygaOOSmrPjBvWFklLuyR/EgfN+zD4rruJbHa5hZWmakH/+WvhgXFHHqI1rRUWe3455a/X+jt070KtjGwZu2ZnLj+nHtSf2Tz5zn7my6qT9vleEkUot0xe6teebQ7YCYMHScq589J2kYesDoXNynDf+We9T/mq6TMZnoEfHtRM81UvUvNnli2u11/boyloflpLW3x4nwE5H1NoUQwmzWiezp++Z+HHVX6TVJF1fbVb8iAO+sHaHN6qVqNnZEjVSY1K9VM3tn2xNZWlaYurth4s4Km1sf3/2Q8a8lpRy/GqHt9im/N2k4QsHQ689izgyqfnq0q4Vm7VvBcDy8kpmLlrBox+X8v2lJ1d1uv9sWDa/SCPUxnbzsx/y0adJ2cYjd+/F2O8dwHMXHcyos4YwfGDfJLfw0Xj46LnkhC32gS32KuKIpZbnvC9tR9d2SWy+bfxHvD1rMZSUVC3kml8Br9xdxBEqSybjM7Dd5h3W2F+zRM0X+J+9B9Z6Xs1HV9b4sJS0YUpycMzNcNS10Hdv2LQPdEgWSQmxkutKr2Bz5rOsPM8dL3xU3LFqg70/5zP+8+ZsAHbo3oEDtttszQ4xVtWLb9UetrVEjdTYHN4vKVWzglZM7Tg4OTj3Hfjd9nDTITD5VmvINzEV+UpGTpjGsOueY+CvHuWXD74BQGlJ4Fdd/l3V0VnxUmZGT57O7EUr1jr+QOUQ7s8PSXYWTYeH/HfYHMxZvIKrH38PgNalJfzo0ALlv56tViveWfFSg9u0TRk//PIOAOQrI7944HVijLDHiRBySadJLuTaXJmM38imfbqUh16ducaxL+cmri5R8363L1lyRmpouVLY8yQ4/d9wwevwvddhh8MAaL/yE25q/QfasIJbnvuQlRWVRR6sNsSNT09ZfZ/yrQO2IYQaf8Sc+RIsmJpsbz8UylwUW2psDtm5B6UlgRx5KhZMr2pYMhumjYd/nQv3nAL5iuINUuusIl/JuXe8yIX3vsKkqfOZu6Tq6bOjukylw+wXkp0thsCWQ4o0Sqn5q209s1X+t/ybzC1JJzC8NgpeHdVAo1JWrnj0HT5bkXxOnnnANvTuVMs97ydvVj15tvnOsN0hDThCSascO7Avu/ZOSoY99/48/v36bOjQA3Y4NOkw502Y9kIRR6ismIzfiCrylXzv7pf4bEUFOfL8b+9JjO3wf/yirGrhha8ef5Yz3aViKymBo6+H7rsBsFv4gN+V/ZXZi5bz0Kszijw4ra85i1dw7+SPAei+aWuO3L3X2p1er1aiZhdL1EiNUed2rRiy7WYcnXua7fLvUes8oDcfgFfuauihaQOMnjydsa/PqrXtyIV3VO0c8P0GGpHUMtW2ntkqi2jPL3LfqTrw0AWw8OMGGJWy8MaMRdw9IXnSt/umrTnzwFrKNgI8e1XV9r7fhZqTWCQ1iFxJ4JIjdlm9f+nDb7C8PA8DvlnVabILuTZHJuM3or88+T4Tp84nR55/bHodp837AzuWv0Frylf3yT32M2d0SY1B6/Zw/J3QrhsAR+Se57zcfekMax8Fa0pu/W/VEw2n7rs1rUprfLTFWFUvvlV72PZLDTtASevs8N16clxuHAAFUwOTb22o4ehzKDQbd7fwAQfmXkl2eu6R1IuXlJmetc2MrmZml8Gw9znJzvKFcP9ZUOmTok1NjJFfPfgGlemvMRd+eUfatS5du+OCafDqyGS74xaw69ENN0hJaxm0VZfVk8mmfbqMm56ZAl/4InRMK2q8fCf8YSdLNjYzJuM3kpenLeCP/0kWoTqu1TPsu/K52js6o0tqPDr1ha/fAbnWAFxQNoqtZj3C8x+4anlTsWxlnn88n5Sfad+6lBP22qKqMV+R3LD8ZT+Y/2FyrNsOkGvV8AOVtE4O2aU7vcK8ujs5a7NJmDF/aa3Hzyn9Z9XOAT9wRqaUseMG9q2z/YDtu8HB/wvddkoOTHkKxv+lAUamjemRN2bz3w+Sz8/d+3Tka3v2rr3j83+GynRy4JBzIVfWQCOUVMiPD92RNmVJevbaJ95j1sJlUNYuaYyVsHiGJRubGZPxG8HSlRV89+6XqEj/DP3dLuPrPsEZXVLj0XcwHHXN6t0/lF3HY4+NKeKAtD7umTSNBUuTp4++Pqgvm7ZJf6HIV8CobyY3LLNfqzph+iRvYKRGrFPbVixp3b3uTh1de6exq6yMlFeu/ZTZduFjhuYmADAtt8Xq9VskZWfYgD4M3aVHwfZbn5/KhwvzMOwGKEnvo/7zc5j9RsMMUJ/bioo8v374zdX7/3vEzpTUVhp36acw6eZku21X2PMbDTNASXXq1WkTzj5oWwCWrswzbuSfYO7btXd2gm+zYDJ+I/i/h95kytwlAPzPDt3oVjm37hOc0SU1Lv2GE/f/AQBtQjnfmn4xU6e8W+RBqT75ysiNT08Bknp7p+63dVXjy3cmNyq18QZGatQW7Ph1AApWDGu3WR2NKraKfCU/GPUycz9buVbbWaX/Wr09fbezkjVcJGUqVxK45oQ9ufyYfgzcsjO9Orah/xad2KFHByBZe+fEG8czo8228MWfJiflV8DoEVCxoogj17q65bkPmToveRrpiN17MWDLLrV3fOF6KE+fWtrr29CqbQONUFJ9RlRbcHnb6ffX3dkJvk2ed8Cf06NvzOaO8ckiKV3bteLyY3YntOlY90nO6JIanfA/F/Nxj6SWePewgE3vOBxuOBiu2MX6bI3Uv1+fxUefpr949Ou5+uYFgBfruUHxBkZqtLY/5Ez+XTm4cPWStx5MZm2akG90yvOVnH/3S4yePB2AXLVvYt8wmyNLkjKOc0p7MujwbxVljFJLVJorYfjAvow6awjPXXQwo8/el3+esy97bZ0kbacvWMZJN45nzm4jYMt9k5Nmvwp/2t174UZu7mcruPqx9wBoXVrCj4buUHvHlUtg/F+T7bJ2MOiMBhqhpHXRpizHxYcl5cJ6WrKx2TMZ/zl8sng5P7r3ldX7lw3rR7f3Rxd+nGSV/j4OJjU6JSV0O/nvvEUyu7pz+SyYPhEWfWx9tkYoxshfn/pg9f63DthmzQ7zp9b9At7ASI1Wx/ZtuGvLX/LD8hFMqNyeWWzGm2U7837fY4ghl3R69o8w5kIXGWxEVlTkOeu2yTz0ykwgWcfjtjMGr56N+/1NHqY0JN+vrl/+EblS6xRLxdSmLMeNpwxk9z7JRLIP5i7hG3+fyKJDroSSdOHPxTO9F27krnj0HRavSL4nIw7Yhj6dC8x2n3wrLEvXxRrwTWhbYPa8pKI5dNce7LV1F2bGrnV3LPOplqbOZPwGijHyo1Gv8OmS5BHckwb34ktTr4T7v121IEptdjoCdj++gUYpaX20brspc7Y6snAHy5s0GhM+nM/L0xYAsN+2m7FLr/SJpMpKmHAjLPmk7hfwCSWp0arIVzJnSQX35A/i2JU/Z+/lV3Ho4p9y8LtH85fulxBXLcL8wvXwr+84U7MRWLYyzxm3TOQ/b84GYNM2pdx2xl7ss1UnhpeMY1TJT/hq5aNJ5zadKNn9uCKOVtIqHdqUcctpg9mhe1Ky5q1Zi7nlzjsK/z7rvXCj8ubMRdz1QvKU/uYdWvPtA7+wZod8RZKEv/FL8O+fJMdCDvb+dgOPVNK6CCFwyRG7cE/+IAAKPgM67x146PtQvryhhqaNzGT8Brrt+ak88fYcAPboWsEvFv4Uxl9X1eHAi+DIq6Hv3rBpn+S/R10Lx94CJbkijVpSffZe+VzdHSxv0ihcX9us+E+nwD+OTG5MYj2zZX1CSWq0Rk+ezmszFtXadtmH2/LUgKuhtE1y4KXb4N4zIF/egCNUdZ+tqODUm1/g6XeTNZO6tGvFnSP2Zo9e7asW0p75YtUJyxfAfSOcXSs1Ep3atuLWMwaz9WbtANhn0cN1n+C9cKMQY+SXD7zBqrWyLxy6I+1al1Z1yFdUxeCPJ0BM/3Ad80li3hgsNUo799qUsgEnMiY/iEIVG4FkAtoNX4Q59VTmUKNUWn8XQTJLa/Tk6dw9cRofzVvC3HRGfL/ch4wMfyY3NS150KoDHH097PiVZL//yUUasaQNUfrZjDrb4ydvEJbMg3b1PDqmzLw/57PVsy937NGBA7btAuOvh/9cUrUoVUkpdNkG5r6z9gv4hJLUqN09cVqd7X/6sC8HnnQv3HEcrPwMXh8N5cvg2JuhrE3DDFIALFxWzql/f4HJHyVPKnXr0Jo7ztiL7bp3SBJ29S2kvedJDThaSYVs3qENt52xF8de9xw9l9dTq3jmy/DReOg7mMKLeyhrj74xm/9+kHyv+vXpyNF79l6zw8t3GoOlJuq8L+3I/hPP5/HKpxieG0evMI8ZsSsj8wfxhT69OHPhHwnLF8Anr8NfD4RDL0tyj8bkJsNk/DqoyFdy7h0vMvb1WWscP7LkOS4vu55WnyWJebpuC1+/E7ptX4RRStoY5uW6sRnTC7aHFYvgip1g12Ew+AzoPSBpyFckN70v3goLp0PH3rDnN2CPE3waZiOo/gfRN6vNmD1vzxzhliNg6rNVnbvvBl/9M2y+c/KLxuRbkxrxHfskM+J3P97vidSIzVywrM72F6ct4OevbMWph93BlmO+AcsXwjtj4PoDoVV7WDzLGJyB6nF45oJldOvQmrmfrWR6+v3q1bENt39r72R27col8NzVdb/g5FtNBEmNSO9Om3D7t/Zm7jWb0Zs6EvIVy+Bvh0DP3WHwmck9cVkb74UbwKo4fOeEj3jl44Wrj1982E6UlKRJuM/mpAudX1L3ixmDpUZr3NtzWFFZwj0ctLpkzWpTofdh93DEez9PfgeuWAYPnAcfPAFfuQLefsg43ASYjF8HoydP59HXp3Ns7mmOy42jZ5hLjkiPML+q03ZfhmE3QJuOxRuopM/t7vxBnMNLxLjmH5bX2M+vgJfvSL569YeBp1P51kOUvFPtsd50sav4zr8Jx94MuTXDbUX5Sl584Do6vHkXnco/YUHZ5ize6ev0P/IccqW1h+YNOac5qMhXct7tE2n39j1clBtHz5J5zGzVhelxM740bjLEFUnHkjI44Iew/wWQSxcG3PMkf9GQmpienTZhxsLCNTBjhJuf+5Cbn4Ov9ryU31b+jDYr58Oct6o61RODwTi8PtaKw2EeM5d15e78QdzLAWzRuTV3H5aj+2vXwJQnYdoLUFlP6SAX0pYana03a8ej2w6H935V970wJDPk/3k2PPoz2PNkKme9Ssn7/6lqzyAOt9QYDGvG4Ytz4+hZNo+ZMYnD9z0RGDj7I3JvPZgk5+or1wjGYKkRq+8p0d88u5hOX/sbg/rcRJvnfp/8m3/9PuI7Ywnl1Sa1mJNotEKMBZcEaFZCCN2Bm4EuwCLglBhjwXoUAwcOjBMnTgTg2D8/zWkzf8GhuQm19r237XEM+8FfoMQS/FJTt9+vH+HiZZfX+u/9sfweTKrcnhNKH6dPmLtWe6FfWvJHXENuQFWN8orylbzyx6Ppv+TptV5jcrv96ffd0ZSWtVrj+Hqc02yeTVsVh+8ZP4X2D36rYAwGktlZR/0ZeuzacAOUlImRE6Zx4b2vFGxv2yrH0pVVi7aenbufC8tGrtVvdQze7wfkdh8OrTtA602hVTsqKsqNw+tgXeLwJ7EjnUtXUpav+4mGtfTdG07/90YaqaSNpa7ffcfkB/Jw7mC+02Ec2y8ev1b7ut4Lw/rfD69n/2YRh6vnJNbpfnh9GIOlRmvIbx6rc2JKdUd1/pCfl19J54pkTUtzEk1DS0rG3wZcHWMcH0IYCFwQYzyhUP/qH3yX/t9PuLji2oI/1JeWnsPFP/11xlcgqSEMu+45Xpo6l6NzT69Vn+3e/AFUUkIJlXyx5EVOzj3CAblX633N5bRmVmkvIiVUhhI2qVhErzi7YEyZWtKXxWVr1qTvUD6XLSs/LnjOC7v/isFfOw+a0Qffqjh87RWXcM6iP649Iyv1fOsh7H3hv6pmw0tq0vKVkXNun7xWeUCAobv04Irjdufxtz7hrhem8cx7cxnV6ucMLKllfYgCKilhJaW0YWUdcbgPi8s2W+M843DhOLyGUJI8Nda2C7z7SOF+R13rk0tSIzTkN48xe+GSOu+FAbYOMzk59wjH5J6iQ6j7j3EraMXc0u7kyVEZclRSQpt1uh+uisMdyuesawyGZhKHq+ck1jkO990LdjoSKivqLlVjDJYarWHXPcekqfPr75jqxGKeaH0BncOSgn3ylLC0pD3llFERyshVrqBrnL/OMRjWKw43ixicpRbxDEEIoRPQNcY4HiDGODGE0DGE0CnGuKC+84eFJ9LXqfm6yX+PTtslNX3HDezLpKnzuSdfS3024Es7bU5pSQlvz+7AKfMGsFXFTB5odTHtQ+G/XLdhBVtVTFnreKGYsmXlNFhR+6Nphc7p8MadUPULSLOy/+IxQOFfPDZZ+amJeKkZyZUErjlhT0a/OJ2RE6YxY8EyenXahOGD+jKsfx9yJYHD+/Xi8H69mPbpUsquWr/YV0IlbUjW+ykchz+GFbU/wm8cXtsyWrPJXqfBNgfClkOSso2VebjnlNoXEHQhbanRWlUqrNC98CpTYk9+UXEKv68YzrOtz6NTHUmg1qykd8X63dsWuh9uiTEY6o/DH9OdPheMg017JQcq8zB9ojFYaoJW5SQKOX2/rem4SRkvT1vAS9MWMG9JB5bSms4UjsM5KulQuWit4+YkiqNFJOOBrYH3ahz7ID3+4qoDIYQRwAiALbbYYnXHvrlPoY6yl1vkPt14I5VUVMMG9OHxtz4pOCPz2hP7k0sXSFq6soJ3Z3/Gezddzx68XfA1V8RSPqUjyTygSjqziFwo/FRSjLCCNZPLrSmvcxZM5/JP6rmypqG2ONwzfAp1PMTVK9SxyJikJqk0V8LwgX0ZPrBvnf36dmnLK6ErPeLapcNW+biyK4+EIbRnKe3jUtqHZezFa7QOFQXPqYzJTM5QLfgYhwuf81nJpmxy6G/XPFiSg2NudiFtqYmpLwn066/tyv7bdWPGgmXMWrScGQuW88ETvelP4SeUlscyPqEzOSopJU8JlXRZz/vhlhyDof443LqksioRD8ZgqQmrLyfxk6/stDonEWNk+oJlzPlTN3pTODe5KG7CB/SmFRW0opytmElpKLy+REvOSTSElpKMD9T+0bXGsRjj9cD1kDwStup42822hI/X/kewur3bVhtlkJKKb11mZK7StlUpu/ftxLWbHsoei94u+LjWjR2/wzkX/Hz18bcu3Ycdy98oOIa3Wu3MThf/d81j9Zwzv2xzeqz/5TY6tcXh0LE3zJ9T+KSOfRpkbJIap6c7HEq/OmLwPzudvEYMhvpj6tvG4Y0Th3OlLqQtNTH1JYGOG7QFuZJA3y5tVx+/dvJX6L/onYJx+KaO5653HK55P9ySYzBsYBw2BktN0vrkJEII9Oncln/Wk5O4teO3zUk0Ii1lxdEPgW1rHNsmPV6v0D9Z5KBmNj/WaJfUPKyakTnqrCE8d9HBjDprCMMH9l3jQ6+6zfc7lTH5QbU+rjUmP4jN9//mGscX7/R1IPlgrG7VAbH5hwAAIABJREFU/uKd135sdEPOaS667Hc6UPjau+5/egOPSFJjsr4xGIzD68s4LLUcq5JAlx/Tj4FbdqZXxzYM3LIzlx/Tb40nRKtriDjckmMwGIellsacRPPWkhZwHQX8OsY4OYTQD/hBjPHkQv2rL5ZSb83LY2/xMS+pBctXRr5z2wTavX3PWgtdfbbDsVxz0qA1PjTzFRW8fOVXC65Cvvv37idXuuaDS+txTrNZLGV1HK7MUznyFEreWjsGxx2PIAw3Bkst2frGYDAOryvjsKR10RBxeD37N4s4XDMnYRyWVIg5iaalJSXj+wA3Ae2BhcCpMcbZhfqv8cEHkK+w3pqkgirylev0GNnq/uUrmfzgX+jwxp10Lv+E+WWbs3jn4xlwxNlrfeit5znN5oNvjThsDJZUh/WNwWAcXhfGYUnrqiHi8Hr0bxZx2JyEpPVhTqLpaDHJ+PW11gefJDUNzeaDzzgsqYkyDktScTWLOGwMltRENYsYnKWWUjNekiRJkiRJkqSiMRkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZSzEGIs9hkYphDAHmFqgeTNg7nq83Pr2b6hzmst7bMg5LXlcLfnaN+ScpvYec2OMQ9fztRqlOuKwPyvZvseGnNOSx9WSr31Dzmku71HXOcbh2jXG72Oxf1aK+R4bck5zeY8NOaclj6spXnuziMNNMCfRFH9WinlOc3mPDTmnubzHhpzTEsbVLGJwpmKMfq3nFzAxy/4NdU5zeQ/H1fjew3E1vvdoTl/+rLTMa2+s42rJ195Yx9VYr705fTWX72Nj/VlpyeNqydfeWMfVnK69OX01xu9jc/pZaS7j8tpb5rU35nH5lXxZpkaSJEmSJEmSpIyZjJckSZIkSZIkKWMm4zfM9Rn3b6hzmst7bMg5LXlcLfnaN+Sc5vIezYk/K43vnJY8rpZ87RtyTnN5jw09p7loLt/Hxvqz0pLH1ZKvfUPOaS7vsSHntOQYDI3z+9icflaay7i89sZ3Tksfl3ABV0mSJEmSJEmSMufMeEmSJEmSJEmSMmYyXpIkSZIkSZKkjJmMlyRJkiRJkiQpYybjJUmSJEmSJEnKmMl4SZIkSZIkSZIyZjJekiRJkiRJkqSMmYyXJEmSJEmSJCljJuMlSZIkSZIkScqYyXhJkiRJkiRJkjJmMl6SJEmSJEmSpIyZjJckSZIkSZIkKWMm49XihBAOCSGMCSE8GkLYoo5+24UQSqvtHx5COLPa/pEhhDPSrxEhhN7p8QNCCBdvhHE+GUIYV+3rh1ldiyQ1pKYSh9PXuiCE8GwI4YkQwp9qaf9GCOGhEMJ/Qgit6nidnWvsnxtC+PLGGKMkra+mEodDCPfUuB9+I4TQo0Yf47CkJqUJxeBOIYRR6X3wxBDCt2vpYwyW1lNp/V2k5iGE8FXgUGAp8Ep6+HshhE2Au2KM42qc8jvgmGr75enXKqcDJ6bbFwAHhxC+CbQD7tsIQ24dY9y7toYMrkWSMtfU4nAI4QRgG+CAGGM+hLB1tbbTgYHAMuC19PBl6bVcE2N8rcbLXQ4cXse1SFLmmlocjjEeW23sbYH7Yoyz0n3jsKQmpanFYODHwOgY4x3pGJ8PIYyKMc41BksbzmS8WowY4/0hhMdJPlB2B/LAs8DvY4z56n1DCJ2AAcAXQgi7AOcBnYErq3XLxxg/S/uvBD4EDgb2Bfap+f4hhBzwWIHhHb7qtYp0LZKUuSYYh88DDl41thjjlGrXclMIYQzwQ6AfsBwYE2O8vpb33R7YM72mE4DhQE/AJ5QkNagmGIerOxW4udq1GIclNSlNMAbngI/T7eXANJI/JBiDpc/BZLxaml8C44Ffkfz8nwd8E7ipRr+fkfzF+mfAqTHG0SGE/YDtqvWp+e+nD/A4yV+hR9Z84/TD9aD1GGvrEMLVwA4kfzH+SYzx5YyuRZIaSpOIwyGENsBnwBHpzJ/WwHUxxjurdbuG5BeiF9L3/L8QwsExxseqvU4p8H3gK8CvY4xnA38OIZwEhHUZiyRtZE0iDlcXQigBhgGH1GgyDktqappSDP4NSbzcG9gb+F2McWm1dmOwtAGsGa+W5jOgC0nQjyR/6V397yCE0C6EcB3wUPpY1RXA7SGELmmX6v9mXgwh/CmEcCWwLfAy8EWSx8M2xr+t/wMuizEeAnwXuCWEUP3DamNeiyQ1lKYSh9uRzFjqAnwZOAw4K4SwQ7U+S9J2ClzLZsDfgavTP6b+K4RwcwihdS3XIkkNpanE4eqOAh6OMVbUOG4cltTUNKUYfAwwCfgLcBFwbgihX7V2Y7C0AUKMsdhjkBpMGvR/BIwAFpF8MFyx6pGwtB5wtxjjC9XO2RyYQ/Ko104xxhuqtXUHziB5fKwdMBt4Engqxvhujff+XGVqQggPAd+IMX6axbVIUkNoSnE4hPBCjHFwtf0fAB/GGEel+52AnwBnAa8Cf4sx3lit/x7Ashjj29XHG2Ocnc4Gmh1jfLS+/2eStDE1pThc7byHgeNjjAtrHDcOS2pSmkoMDiG0J6kXf0i1Y/sAw2OM30v3jcHSBrBMjVqE9EMnxhhXAL8MISwEpq9KqKyS1gOeEkI4BpgSY5wUY/wkfY1y4NMaL30/yQfpFSSlZHqS1ExbBKzxwbe+j4SFEPaJMf433d4JaBdj/DTDa5GkzDTFOAw8EkIYEWO8PoRQRlKD85z0cdt8jHEBcGHadnuMcWKN93spHfc5wP0xxukxxtlp81KSmVGS1CCaaBwmhLAX8Fb1RLxxWFJT0wRj8EqgdwihR4xxVlou7ETgBWOw9PmYjFdLcRjw4xDCcqCC5BGqypDUAc4BrUgenbo37d8DmFv9BWKM40lqu9X0WoxxWbo9LYQwHui1EcZ8UAjhF+n4FgGnNMC1SFJWmmIc/hXwhxDCUySPEl8TY/wghDACOCWEsCK9Fkh+qSohedy2Nck6H8+mbVsDZTWuZfRGGJ8krY+mGIchKdd4UY1jp2EcltS0NKkYHGNcGUL4NnBXCGFVCZp/xhj/4b2w9PlYpkaqRQjhXJKb/HlUfbjkgFdjjN+v1m8f4KckHywlJKuhv0bywbOiQQddwLpeiyQ1Js0sDv8eGEIy+yefHi4FHokx/q5oA5OkOhiHJal4jMFS82UyXpIkSZIkSZKkjLlysSRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUsdJiD6CxGjp0aBw7dmyxhyFJ6ysUewAbi3FYUhNlHJak4moWcdgYLKmJahYxOEvOjC9g7ty5xR6CJLVoxmFJKi7jsCQVjzFYkpqnBkvGhxAuCiF8u9r+DiGEJ0MIL4QQ7g0htK/Wtk8IYXwIYUII4YYQQmm1tiNDCBPTr0trvMeIEMKkEMLkEMI5NdouSc+ZHEIYluW1SpIkSZIkSZJUXebJ+BBC7xDC88AFNZr+BJwaYxwM/AO4JO1fBlwGfCXGOAh4DTgzbdsM+B6wX4xxINA2hHBY2rYzcCgwEBgAHBRC2DVtOxTomp4zBDg7fS1JkiRJkiRJkjKXeTI+xjg9xrg38MNVx0IIuwEfxRg/SPv8kyRJDjAUGBtjnJfuXwcck24fD9wQY1ye7l8GnJZunw78LqaAPwCnpm1nAL9N32s5cEP6WpIkSZIkSZIkZa5YNeO3Bd6ucezTEELnmm0xxpVAWW3nxRhnAd0LvOa76TGA7jHGGQXaVkvL3EwMIUycM2fOel+UJOnzMQ5LUnEZhyWpeIzBktT8FSsZH4BYy/FYoG3V/oa21Watthjj9THGgTHGgd26davjVElSFozDklRcxmFJKh5jsCQ1f8VKxn8AbF/jWNcY44KabSGEVkBFbeeFEHoCswu85vbAe+n23BBCjwJtkiRJkiRJkiRlqijJ+BjjS8D2IYQtAUIIQ4Gn0+axwBFpyRpIasKPTLfvAs5ME/QA5wM3pdv/AL4fUsC5wN/StltIa9an554M3JnFtUmSJEmSJEmSVFNpEd/7fOC2NHE+nXQh1hjj8hDCxcDYEEIF8DLwnbRtVgjhOuDZtG1sjHFM2jY5hPA08AKQB/4WY3wjbbsvhDA4hDCepDzNr6stECtJkiRJkiRJUqYaLBkfY7y5xv6rwP4F+o4D9irQNpKqmfI1264CrirQdtG6j1aSJEmSJEmSpI2nWDXjJUmSJEmSJElqMUzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZcxkvCRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZcxkvCRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZcxkvCRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZcxkvCRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGipqMDyFsEUJ4KIQwLoTwQgjha+nxfUII40MIE0IIN4QQSqudc2QIYWL6dWmN1xsRQpgUQpgcQjinRtsl6TmTQwjDGuYKJUmSJEmSJEkq/sz4y4FLY4wHAYcCl4UQyoDLgK/EGAcBrwFnAoQQNgO+B+wXYxwItA0hHJa27Zy+xkBgAHBQCGHXtO1QoGt6zhDg7PS1JEmSJEmSJEnKXLGT8Tng43T7M+ADYCgwNsY4Lz1+HXBMun08cEOMcXm6fxlwWrp9OvC7mAL+AJyatp0B/BYgPfeG9LXWkM6snxhCmDhnzpyNdImSpHVlHJak4jIOS1LxGIMlqfkrdjL+QuDKEML3gFHABcC2wNurOsQYVwJl6W7NtllA99ragHfTYwDdY4wzCrStFmO8PsY4MMY4sFu3bp/nuiRJG8A4LEnFZRyWpOIxBktS81daf5dMnQiMBW4FngZ+A7wAxBr9Vu2HDWyrTV1tkiRJkiRJkiRtNEWbGR9C2AnYJsZ4Q4xxeYxxInAXyR8Itq/WrxVQke5+UKOtJzC7trZ0+710e24IoUeBNkmSJEmSJEmSMlXMMjWLgN1CCB0AQgitgeHAOOCIEELntN9pwMh0+y7gzDRBD3A+cFO6/Q/g+yEFnAv8LW27Bfhh+j6tgJOBOzO6LkmSJEmSJEmS1lC0MjUxxukhhF8DY0MIK0n+MHBjjPHJEMLF6fEK4GXgO+k5s0II1wHPpm1jY4xj0rbJIYSnScrc5IG/xRjfSNvuCyEMDiGMJylP8+tqC8RKkiRJkiRJkpSpotaMjzHeB9xXy/FxwF4FzhlJ1Uz5mm1XAVcVaLtogwcqSZIkSZIkSdLnUMwyNZIkSZIkSZIktQgm4yVJkiRJkiRJypjJeEmSJEmSJEmSMmYyXpIkSZIkSZKkjJmMlyRJkiRJkiQpYybjJUmSJEmSJEnKmMl4SZIkSZIkSZIyZjJekiRJkiRJkqSMmYyXJEmSJEmSJCljJuMlSZIkSZIkScqYyXhJkiRJkiRJkjJmMl6SJEmSJEmSpIyZjJckSZIkSZIkKWMm4yVJkiRJkiRJypjJeEmSJEmSJEmSMmYyXpIkSZIkSZKkjJmMlyRJkiRJkiQpYybjJUmSJEmSJEnKmMl4SZIkSZIkSZIyZjJekiRJkiRJkqSMmYyXJEmSJEmSJCljJuMlSZIkSZIkScqYyXhJkiRJkiRJkjJmMl6SJEmSJEmSpIyZjJckSZIkSZIkKWMm4yVJkiRJkiRJypjJeEmSJEmSJEmSMmYyXpIkSZIkSZKkjJmMlyRJkiRJkiQpYybjJUmSJEmSJEnKmMl4SZIkSZIkSZIyZjJekiRJkiRJkqSMmYyXJEmSJEmSJCljJuMlSZIkSZIkScqYyXhJkiRJkiRJkjJmMl6SJEmSJEmSpIyZjJckSZIkSZIkKWMm4yVJkiRJkiRJypjJeEmSJEmSJEmSMmYyXpIkSZIkSZKkjJmMlyRJkiRJkiQpYybjJUmSJEmSJEnKmMl4SZIkSZIkSZIyZjJekiRJkiRJkqSMmYyXJEmSJEmSJCljJuMlSZIkSZIkScqYyXhJkiRJkiRJkjJmMl6SJEmSJEmSpIyZjJckSZIkSZIkKWMm4yVJkiRJkiRJypjJeEmSJEmSJEmSMmYyXpIkSZIkSZKkjBU1GR9CKAkh/DaE8EwI4ckQwo/S4/uEEMaHECaEEG4IIZRWO+fIEMLE9OvSGq83IoQwKYQwOYRwTo22S9JzJocQhjXMFUqSJEmSJEmSVPyZ8T8G5scY94sxHgiMDCGUAZcBX4kxDgJeA84ECCFsBnwP2C/GOBBoG0I4LG3bGTgUGAgMAA4KIeyath0KdE3PGQKcnb6WJEmSJEmSJEmZK1oyPoTQCjgauHzVsRjjFGAoMDbGOC89fB1wTLp9PHBDjHF5un8ZcFq6fTrwu5gC/gCcmradAfw2fY/lwA3pa0mSJEmSJEmSlLlizozfGngFODeE8Hj69SVgW+DtVZ1ijCuBsnS3ZtssoHttbcC76TGA7jHGGQXaVkvL3EwMIUycM2fO57o4SdL6Mw5LUnEZhyWpeIzBktT8FTMZ3x74f8CsGOMXga8Dv0vHFGv0XbUfNrCtNmu1xRivjzEOjDEO7NatW/1XIEnaqIzDklRcxmFJKh5jsCQ1f8VMxr8PvBljvAcgxvgJ8CxJUn37VZ3ScjYV6e4HNdp6ArNra0u330u354YQehRokyRJkiRJkiQpU0VLxscYFwCzQghDAUII7YH+wF+BI0IIndOupwEj0+27gDPTBD3A+cBN6fY/gO+HFHAu8Le07Rbgh+n7tAJOBu7M6tokSZIkSZIkSaqutMjvfx5wdQjhx+n+T2OMi0MIFwNjQwgVwMvAdyCpER9CuA54Nm0bG2Mck7ZNDiE8DbwA5IG/xRjfSNvuCyEMDiGMJylP8+tqC8RKkiRJkiRJkpSpoibj09nx36jl+DhgrwLnjKRqpnzNtquAqwq0XbTBA5UkSZIkSZIk6XMoZs14SZIkSZIkSZJaBJPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGXMZLwkSZIkSZIkSRkzGS9JkiRJkiRJUsZMxkuSJEmSJEmSlDGT8ZIkSZIkSZIkZcxkvCRJkiRJkiRJGTMZL0mSJEmSJElSxkzGS5IkSZIkSZKUMZPxkiRJkiRJkiRlzGS8JEmSJEmSJEkZMxkvSZIkSZIkSVLGTMZLkiRJkiRJkpQxk/GSJEmSJEmSJGVsvZPxIYRjshiIJEmSJEmSJEnN1Ton40MIvwwh5IDzMhyPJEmSJEmSJEnNzvrMjO8dY8wDK7IajCRJkiRJkiRJzdE6JePT0jQPpbvl2Q1HkiRJkiRJkqTmp7S+DiGES4BPY4xXp4fyIYTjSBL5rYCSGOPfMxyjJEmSJEmSJElNWp3J+LRG/KZAZY2mciAAK4GKbIYmSZIkSZIkSVLzUGcyPq0R//0QwmkhhONijHenTf+KMZqElyRJkiRJkiRpHaxTzfgY49+A/1ftUKtshiNJkiRJkiRJUvOzTsn41OshhLbptsl4SZIkSZIkSZLWUb0LuK4SY7wSIIRwLbAssxFJkiRJkiRJktTMrHMyfpUY49gsBiJJkiRJkiRJUnNVbzI+hHAhUNtiraXANcAfYoxnbeyBSZIkSZIkSZLUXKzLzPjxwEqgMt3fBPg98F2SJP022QxNkiRJkiRJkqTmod4FXGOMTwIzgakxxvHAIGBejPGZGONKkkS9JEmSJEmSJEkqYF3K1JwPDAB6hxB+AywHzq3WJWY0NkmSJEmSJEmSmoV1KVNzZIzx4BBCT+Bq4H1gzxBC2xjjy+v4GpIkSZIkSZIktVj1lqkBQvrfZen2JkBZ+iVJkiRJkiRJkuqxLsn4F0IIvwT+P3v3HR/VdS16/LdnRgUhkAQIEEj0YnoTxQT3iuOSGBtix7lO4pTn2E5umm9u8pL4JjfJjZ1iO3ac2Nd5iZ24YMCJccEdg8GAQFTRuwoCSaiAUJuZ/f7YZ+bMSDOjPtJI6/v5+KMzZ5+Z2bLQ0Zx11l7raeAvQLHW+h/AFUqp1cAIpZSK+ApCCCGEEEIIIYQQQgghRC/WbIkZrfUPlFKXAq9orXcrpWZb+x8BHunsCQohhBBCCCGEEEIIIYQQsa5F9d611usCHj7cSXMRQgghhBBCCCGEEEIIIXqkZoPxSqkfAN6AXQ6llANwa60fVko9qrX+906boRBCCCGEEEIIIYQQQggR41qSGb8Z8ABu66vC1Jr3WOOTO2dqQgghhBBCCCGEEEIIIUTP0JKa8R9GYyJCCCGEEEIIIYQQQgghRE/laMlBSqlspdSbSqnVSqmZnT0pIYQQQgghhBBCCCGEEKInaVEDV+C/gSXW8S8BiwPGdEdPSgghhBBCCCGEEEIIIYToSVoajI/TWlcDKKXirK9DgQSgr1LKobX2RnoBIYQQQgghhBBCCCGEEKK3amkwvkEplYYpa+O29t0DjATyOmNiQgghhBBCCCGEEEIIIURP0dJg/LeBZzCZ8P8BoLX+RWdNSgghhBBCCCE6nMcNO1+E7c9DZSGkDIdZX4CZd4LD2dWzE0IIIYQQPVyLgvFa633AbZ08FyGEEEIIIYToHB43rPgi7Ftt76sqgPzNcOhtuO2v4GxprpIQQgghhBCt5+jqCQghhBBCCCFEp9v5YnAgPtC+1bDrpejORwghhBBC9DoSjBdCCCGEEEL0fNufjzye28y4EEIIIYQQ7STBeCGEEEIIIUSPpysLmhnPj9JMhBBCCCFEbyXBeCGEEEIIIUSPV+ZMjzhe6hwcpZkIIYQQQojeSoLxQgghhBBCiB7vZc/lAGgdvN/3eLk1LoQQQgghRGfpFsF4pdQlSqnCgMcTlVIfKaW2KKVWKqWSA8YuVkptVkrlKKWeUUq5AsZuVkpttf77RaP3+JpSaptSKlcpdV90vjMhhBBCCCFEd/Bi7ad4yzMXpYL3KwVveebyYu3CrpmYEEIIIYToNbo8GK+USgEeAE4F7H4M+JLWeh7wHPBT69g44NfADVrrucAe4OvW2CDg28AirXU2kKSU+rQ1NhlYDGQDc4DLlVJTo/DtCSGEEEIIIbqBIWnJ3N/wTbZ4JzYZ+x/3HQxNSw7xLCGEEEIIITpOlwfjgUeAHwFuAKXUNOCk1voogNb6X4AvTeV6YI3Wusx6/BRwm7V9B/CM1rrWevxr4MvW9j3AI9oC/Bb4Uud9S0IIIYQQQojuZFl2Fh6cONBNxi5z7GTp3KwumJUQQgghhOhNujQYr5S6E9imtT4UsHsccKDRoWeVUmmNx7TW9UBcqOdprYuBIWFe85C1r/F8vuYrc1NSUtK2b0oIIUSbyXlYCCG6Vk8+D48fkgxoxlnVMU/pAf6xpf33sWR2ZhfNTAghjJ58DhZCCGF0WTBeKTUCWKy1/nPjIQiRrmL2hRrzPW7rmL1D66e11tla6+z09PRmvoMY5XFD7vPw7LXwuynma+7z4PV09cyEEKJ3nIeFEKIb66nnYa9X8/PX9zKQKlJVNQA53ovY6x0JwJT6nTjdNV05RSGE6LHnYCGEELauzIz/DDBBKbVWKbUWmGx9PQFMaHTsQK11BXA0cEwpFY9V3ibEWAZwOtSYtX24w76TWOFxw4ovwmv3Q/5mqCowX1+7H16524wLIYQQQgjRw7y6vZDckxWMVUX+fa4hF/GBdyYAylMHx9d31fSEEEIIIUQv0WXBeK3141rr+Vrry7XWlwN7re1tmCD9SACl1PWA75PxGuAmq2QNmJrwy63tl4CvWwF6gG8Bz1rbzwHfVRbgfuAvnfn9dUs7X4R9q0OP7VsNu16K7nyEEEIIIYToZOdqG/jVW/sBGOewg/HJmZP50DPTPvDg29Gemogit8fL8px8ljy1kYW/ep8lT21keU4+Hm+oRdlCCCGEEJ3D1dUTCONbwN+twHkhViNWrXWtUupHwBqllBvYCTxgjRUrpZ4CNlhja7TWb1ljuUqp9cAWwAP8RWu9N+rfVVfb/nzk8dznYdZd0ZmLEEIIIYQQUfCHDw5Ter4OgBsyzkGp2Z81fgbbN52mXCeTps7DoXdBa1CqC2crOoPb4+X+F7azJq/Yv6+ospZtJ8r5YP8ZnrhzFi5nl7ZTE0IIIUQv0W2C8VrrBQHbu4FLwhy3FpgfZmw5dqZ847HHgcfbPdFYVlnYzHhBdOYhhBBCCCFEFBw+c56/fHwMgJQ+cczvV2qC8crByPHTSE4sZ51nOrc4N0LlSSjZD4Mnde2kRYdblVsYFIgPtCavmFXbC1manRXlWQkhhBCiN5Lb/71JyvBmxjOjMw8onVaRAAAgAElEQVQhhBBCCCE6mdaa/1qdh9sqQ/K9aycQd9ZqG5U6Ekd8H7JHDQguVXPonS6YqehsL2/Nx4mH251rWRH/EBsSHmBF/EPc7lyLA1O+RgghhBAiGiQY35vM+kLk8dnNjAshhBBCCBEj3t17mvWHTE2aSRn9uXN2usl+Bxg0AYDsUWl85J2OV1ulaQ692xVTFZ3sTPl5noh7nEfinibbcZDhqoxsx0EeiXuaJ+Me43T5+a6eohBCCCF6CQnG9yYz74RJN4Uem3QTzLgjuvMRQgghhBCiE9Q2ePj5G3aLqIdumozz7BH7gHQTjJ87agDl9GeHHmv2n/wEaiujOVURBZ9L3MBiZw66Ua9WrWGxM4fPJW7smokJIYQQoteRYHxv4nDCrc+CIy54f9Z8uP1vZlwIIYQQQogY9/S6o+SfrQHg5hnDmD9mIJQetA+wMuOnZ6YQ73LwgWeW2e91w5EPoz1d0cmWOdcCTXvz+h4vtcaFEEIIITqbBON7m8qT4G0I3nehTALxQgghhBCiRyisqOGPa01t+KR4Jz+8wWrIGiIYn+ByMiMzhQ+9Uje+J+tffybi+CBPSZRmIoRwe0yfhiVPbWThr95nyVMbWZ6Tj8erm3+yEEL0AK6unoCIsuLdAQ8UoKHsMFw4C0kDumpWQgghhBBCdIhfvrGP2gYvAPdfOY6hKYlmIEQwHiB71AD+dHwkZ3Qqg1WFqRvv9YJD8pZ6imIGMoKisOMqJTOKsxGi93J7vNz/wnbW5BX79xVV1rLtRDkf7D/DE3fOwuWUc68QomeTs1xvczrP3h53lb1dmBv9uYiokewDIYQQQvQGGw+X8sbuUwCMGpjEPYtG24MlVjA+aVBQEsrcUWloHHzosbLjq89A8c5oTVl0snq3l79cWBT5oJl3RmcyQvRyq3ILgwLxgdbkFbNqe2GUZySEENEnwfhexlu8x7/9w+Oz7P0FOV0xHREFvuyDB1fuYtuJcn/mwYMrd3HfP3Jxe7xdPUUhhBBCiHZze7w8tNpOPPnJTZNJcFmlGL0esxoUIH1i0PPmjDCB+aBSNQelVE1P8cH+MzxX8ykqdN/wBx16BzwN4ceFEB3i5a35EceX50QeF0KInkCC8b2I2+Ol/Nh2APK96aw+PxGvNl2L9m75QIKyPZRkHwghhBCipwpc/Tf75+9y8PR5AK6YmM6VFw2xD6w4AZ46sz1ofNBrpCTFMXFIPz72TqVBW8F7qRvfY6zMLSCDMlJVtdmRkMJpNYg87wgukGD27X8dXvkiuOu7bJ5C9AanKmoijhc1My6EED2BBON7kdWb9zPQfRqA/XoE50jisB4GQOaFPFblFnTl9EQnkewDIYQQQvREjVf/VdW6A8Z0cKJJ6SF7O6BevM/c0WmcJ4kcr5U1X7gNqks7a+oiSsrO1/Hh/jNc7wxYBXzNQzw67Z98uv5/uL3uJ3gSUsz+/a/Dii9JQF6ITpSR2ifi+LBmxoUQoieQYHwvsjXnY//2Pp0FwA7vOABSVTXrN23qknmJziXZB0IIIYToiSKt/lt/uDR49V9Q89aJTY6fO6pxqRoNh9/rqKmKLvLaziLcXs31zi1mh3LARTcyf7T5eefp0bwx80+QmGrGJUNeiE61LDsr4vjSuZHHhRCiJ5BgfC+Sds6+CNnvHQHAdj3Ovy+9cnfU5yQ6n2QfCCGEEKInatXqv5ID9najMjUA2VYw/gOv3VNJStXEvpW5BQymnLkO6zpoxEJIHsy80XYD3zVnh8Ddr0GfNLPjwBsSkBeik0wd3j/s2PVThrJkdmYUZyOEEF1DgvG9yLQ4Oztonx4J2JnxAPPijkZ9TqLzLcvOwomH251rWRH/EBsSHmBF/EPc7lyLA69kHwghhBAiJrVq9Z+vTI2rD6Q0/ewzPLUPw1ISOaKHUcRgs/Pwe+BxNzlWxIYDxefYU1jFdYElaibfAphklKwBJiFly7Gz6KHT4d8aB+TvloC8EB3sz+uO+q9NX+vzX/5r0+8M2syTd8zA6VBdPUUhhOh0rq6egIieGXH5UAM1Op4T2jS0OqgzqdYJ9FV1zIuXYHxPtGTWULLee4qL6zb69w1XZWQ7DnJH6j5mzHy1C2cnhBBCCNE2Gal9KKqsDTsetPrPV6Zm0DhwhM5Hyh41gNd2FvGuewZ3u96F2kooyIGRF3fktEWUrLT6Yd3g2GLvnHSjf3P+6IHkny2g9Hw9R0qqGZdhBeSfuxlqyuHAm/DMFRDXB6pOQcpwmPUFmHknOJzR/naEiHnHS6t5c2c+T8Q9zmJnDmhAWdem5w+iVxyF2/8KTglTCSF6NsmM7yVq6xtIqTIZQQd0Jl7rR+/ByS7vWMAqY9Mg9cN7Gueul7i4biNaB+/XwOzq9Th3v9wl8xJCCCGEaI8W1x6uLoWas2Y7RPNWn7mjTFa0XTceOPR2u+Youobb4+XV7YUMoIp5zn1mZ9Z86D/Mf0xgqZrNx8rMRkajDPnTe8wNmaoCyN8Mr91vMuZlxYQQrfbndUf4jGM9i505NLo0RWtQ+1fDrpe6ZG4iCjxuyH0enr0WfjfFfM19Hryerp6ZEFEnwfhe4g8r36MPJnOoIG4MUzLsWm1FyVMAUF43nNrZJfMTnad+698AUI1W/Pkf5j4f1fkIIYQQQnSEJXMyuWTcoJBjQbWHg5q3hg/G++rGf+KdQoOKNzsPvdshcxXRtf5wKSXn6rjWuRWnL+w36eagYxaMHujf3nLsrD2QMR3mfT38i++TgKEQrVVcWcuKbQUsc64FAq5FLf5rVbk27Zk8bljxRXNDM3+z3OAUvZ4E43uB5VvzObx7s//xokWX8/o3FzG0fyIAmxpG2wcX5DR+uohxdWWRm5tRWRCdiQghhBBCdCCnQ3Fbtt3sLyXRRfbINB6+bTpPfn62XXs4qHlr+GD8xCH96Jfooo54cp3Tzc7Te6CyMOxzRPe0cpuvRI19DcSkm4KOyRrQx389tPnoWXTgMtKjH0Z+AwkYCtEqT687SoNHk6HKIh8o16Y9084XzY3MUOQGp+iFJBjfw+UVVfLjf+7hInXSvy911EyUUiwYY7J/1p4faT+hYGu0pyg6kdaaEw2pkQ9KkY71QgghhIhN+4vP+bf/8qV5rLh3IUuzs4KbAPqat0LEYLzDocgeacqTvF4z1R449E6HzVd0vsqaBt7Ze5oUzrPQudfsHDYL0kYGHaeUYr51PVRcVUv+2YBync3dgJGAoRAtVna+jhe3mHhEiQq9msnH2394NKYkom17Mzcw5Qan6GUkGN+DVV5o4N6/51Ln9nKRww7GM8SUpVkwxizNLCGN6sQMMybB+B4l92QFf6u7FKBJXT6/WZ+P2nyEEEIIITpSXlEVYEocTMroF/ogf5kaBQPHRXw9X6ma4LrxUqomlryx6xT1bi/XOLfhwqpF3KhEjU/IuvFgmrVGIsksQrTYXzcep6bB/C6WTVga8hjfwpSjWbdGa1oimuQGpxBBJBjfQ3m9mu++soOTZy8AMCvBOvn1GwZJ5kOnLxgPcDBuotmoKoCqU1Gdq+g8y3PyWem5lC2eCU3q8vl4G+qiOichhBBCiI6gtSavsBKAMYP6khTvCn1gqVWmJm0kxCVGfM25VjC+QA+mNHGU2Xl0Lbjl81KsWJlrgjrXO7bYOyffEvLY+UHB+IC68bO+EPlNZjczLoQAoKq2gb9uPA5AcoKL7Fvuh4s+3eQ4peAtz1z+pS+N8gxFVMgNTiGCSDC+h3rqoyO8t+8MAONTYYjbCrAPtZfcjhyYREaKuSD5qDpg2WahZMf3BNV1bl7fVYQXB6ddAX/cktIpSByPR5vwvH7/v+QGjBBCCCFizumqOsqq6wGYOjwl9EH1F6DC6p8ToUSNz/TMFOKd5hJpg2OO2dlQDSc2tHu+ovMdK61m24lykrnAZc49ZueQqTBwbMjjx6YnM7CvadYb1MR15p1Nasz7TboJZtzRkdMWosf6+6YTnKs1zTm/cPFIUvomwqLvNTnumB7KfQ3fYv2R8mhPUUSD3OAUIogE43ugjw+V8tt3TAZQvMvBU9cmoXxFSqwSNYBVN95kx6+vGWW/gDRx7RHe2H2K6noPcbi5xmH9TJOHwvcOsPGqV3nKY5brOuvPwVsPduFMhRBCCCFaL6+o0r89ZVj/0AedPYK/WF8LgvGJcU6mZZrA/itVk+wBKVUTE1ZZWfFXOrYTR4PZGaZEDZjrIV+pmpNnL3Cq0qob73DCbX+FW56ErAXgiLOe4ISb/2DGhRAR1dR7eHb9MQASXA7uWTTaDJzebR+kTEhqpDpDf6rZVVBBVW1DtKcqOtvMO/EOnRFySLsSYOINUZ6QEF1LgvE9zKnKGr750na81jXHz26ewjjvcfuAIVODjvc1cd2jR+NV1tLegm1RmKnobK9sNVlgixy7SfRYzc2mfAYcTmaPTOMP7s9yzDvE7N/3Gux/o4tmKoQQQgjRensKq/zbU4aFyYwvOWBvtyAYD3apms3uCXjiks3Og2+3aY4ierxezapcU5rzxriA5KIwJWp8AkvVBGXHO10w6y6452249Ptmn/bAsXUdNmcherKXc076Vy/dMW8Eg5ITzEDRdvug6Z8DwIGXyx078WrYdKSs8UuJGOfWisMV9uNinUqJNjfRlbsO77s/7aKZCdE1JBjfg9S7vXzjH7mctf7gLc3O5HPzRsDpPPuggMx4sOvG1xFPQfwYs7MoFzzuqMxZdI6jJefJOW6W+H0pJdcemLoEMHVVE/v05Yfur9hjb3wPaqsQQgghhIgFLcqMLz1kb7c4GJ8GQAMujqXMNzvPHoGyI22ap4iOTcfKKKyooQ+1XO7YaXYOmgCDL4r4vHmj7T5am46eDX3QhOvsbbkxI0Sz6t1enl53FACXQ/HVS8fYg75gfFxfWPiAf/fVTnPduuFwadTmKaJjzcc5TKg15+Uc7wQW1P2Rq+p+wxmdCoBj+3Nyo1P0KhKMj3Fuj5flOfkseWojs372DttPmtuNkzP687NbrCx4XzDeGQ8DxwU9f8QAu278pgbrD2TDBSjZF5X5i86xfKtZoptAPRc3bDI7U7Igcy4ADodi9ohUPvFO4RW31STnXBF88POumK4QQgghRKvlFZkkguGpfUhNig99UGlAZnz6xBa97pyRaf7tj/RMe+DQO62eo4ieldtMVvzljp3Ea6vhbjNZ8QAXDe1H/0SzQnjLsTAZuRkzoF+G2T74Nni97Z6vED3ZP7cXUlRZC8Cts4czPLWPGXDX2fGJjBkweBKkjQLgMsdO4nDzsQTje5zKnH/4t1/1XAJAFcn8pOGL9kGvfdP0eRGiF5BgfAxze7zc/8J2Hly5i20nyqmu9/jHBiXH43Io0Nr+Y5c+EZxxQa8RWDf+k9rR9oDUjY9Zbo+XlVa9zOsT9hDnrjYDUz5j2tRbfBeav3B/nvoE66JzyzOQLz97IYQQQnRv5dX1FFaY+t5hs+LBzoxPGghJA8IfFyA1KZ4JQ0x5mr+XBWTTSzC+27pQ7+atPacAuDUxoORmhHrxPg6HXTf+SEk1Jefqmh6kFIy/1nqzUrOSWAgRksereeojs5JIKfg/lwU0UD6zF7xWTfhhs8wBExYD0E/VMNexnyMl1RRbgXzRA2jNour3AKjTLl73zPcPrfHOY43HJAxSfgzW/qorZihE1EkwPoatyi1kTV5xyLF1h0pZtb0QKgugzlrC26hevM/FVjB+uw7Impe68TFr7YES/0XEPWkB9fisEjU+s61gfAX9eDfr29ZeDau/CR5pmiOEEEKI7mvvKbu03tThYerFez1Qdthst7BEjU+2VTf+WG0/agZNMzuPfwz11a2eq+h8a/YUc6HeQwL1XIYVKE8bBUOntej58wLqxuccD1eq5np7++CaNs5UiJ7vzd2nOFZqzpU3TMtgTHqyPVi0w94eZq08mmj/bl3jMHEIKVXTgxTlMlKblUvveWdTRXLQ8E8avki16msefPJEcE8BIXooCcbHsJetBp3hLM/Jj1gv3seXGX9cD6XaYWUWSWZ8zFpu/bvoQy1Tzm80O9NGQ8bMoONmZKbidJhM+b9Xz4OxV5qBM3th4+NRm68QQgghRGu1qF58xUlwW9mVrQzG++rGAxzqv8BseOrh6Eeteh0RHb5VoZc4dhPvtcocTL4laFVoJPMD6sYHNXENNOYycFoNKCUYL0RIWmue/PCw//F9lweXyQ0KtA6bZb6O/BQkmJuqVzlyAS3B+J5k50v+TV+JmkBnSGPvNF+TbC+89oAkB4oeT4LxMeyUtTQ3nKKKGji9x94RJjM+a0AfhqUkAood2lpCVnoAaipCHi+6r5JzdXyw/wwAX0jbj9Nt/RuZemuTi5G+CS4uGtoPgB0FlbgX/xZcVi2/tb+WJmVCCCGE6Lb2FNqZ8VOGhcmMb0PzVp+5o+xM6fcbArKrV34Fnr0Wcp83mfeiyxVV1LDxiKn1flf/gEDfpObrxftMGdafvvFOADYdDVM3Pr4vjLZ6LRXvhsrCNs1XiJ7swwNn2F98DoArLxrM5MY3S33B+Ph+MMCKPTjjYNxVAIxwlDBeFbLhSCla62hNW3QWdz3sXgHAWd2Pj7wzmhxy/ZShzL7lWzDKCtQX74aNf4jmLIWIOgnGx7AMXxOUMIal9mlRMD6wbvyW+sAu51ILMda8ur0At9d8aLkzeas90KhEjY+vbnxNg4f9dQPhih+aAU8drP6W6TkghBBCCNHN+DLjByXHM6R/QuiDSg/a2y1s3uozPLUPGSmJOPEws8BuPEdDNeRvhtfuh1fuBo+7tVMXHezV7YVoDXG4Wei2Vvf2z4Ths1v8Gi6ngznWDZgDp89RcaE+9IEB5TQ49HZbpyxEj6S15okPArLirxgbfEBDLZzZZ7YzZoAjIBw1cbF/82pHLqer6jhScr4zpyui4fB7UGNWG73muZgGXAzul4C1QJ++CU7+cMcsnE4H3PQYuBLNwNr/gdLDYV5UiNgnwfgYtiw7K+L40rlZdpmavoMhOT3ssQukbnzM01qzfKtZopvmrGHk2Q1mYNBEGDw55HN8wXiA3JPlsOAbdm3N4+thxwudOmchhBBCiNa6UO/mqFWPePKwFFS4UiSlB+ztQeNb9R5KKbJHDeBW53qu0JsJmZ6wbzXseinUiIgSrTUrt5nPv5fG7SXebTJymXxzi0vU+My36sZrDTnHy0MfNP46e/uAlKoRwu3xsjwnnyVPbST7v98l96RZXT9/9ADmjGzUNPtMXkDz1uASqoy7GpRZnXKV0yQFfnxIStXEvJ0v+jdXeS4h3ungX/d/iqVWLKu6zuNfScHAsY2SA78JXm+0ZyxEVEgwPoYtmZPJiAFJIceunzKUJdMG2k2rwtSL9/EF43d4A+5eS934mJJ7soLDZ0z2wDeHH0J5TBNXpi4JezEye4QdjN92ohycLrjpcVDWqeGdH8H5kk6dtxBCCCFEa+w7VeVfvBe2XjzYZWpciZASOYkllLmj0ljmXAtA2LBu7vOtfl3Rfr4A4PWPrfffmFmWFLCqd9LNrX7N+QFNXLccC1OqJjXLXm187COov9Dq9xGip3B7vNz/wnYeXLmLbSfKKau263x7vBq3p1EgNVS9eJ+kATDC9OeYrQ4xgCo2HAnzeyhiQ025v7/GYe8wdukx3JadSUZKHy6dYCeKrjsUEG9YcJ/d6+7EBsj9axQnLET0SDA+hjkdirSkOAAcCjL6J5A9Mo2Hb5vOk5+fjbPsgGmAAc0G47MG9GF4ah+qSOY4w8zOwq1SpiSGvBLQ0Pcm1yZ7YOqtYZ+TmdaH9H5mafe2E1YG0PDZMP9es11TDn+cD7+bIvVRhRBCCNEt5BXZ9eKnhqsXD1BiZcYPHA8OZ6vfJ3vkADJUM8GgyoJWv65on8AA4AEro9KJh+zajQDo5KGQNb/VrzstM4UEl7k83hyuiSvABCs73l0Lx9a1+n2E6ClW5RayJq845NjWE+Ws2t6or0LRDnu7cTAeYIIpA+VQmiud29l0pKxpQF/EjrxXTeNzYJVnEU6Hg3svM8mfnxo7yF+q5qODAcF4pwtu/oN/lQTv/hSqiqI5ayGiQoLxMay2wcPeU+ZiZM7IND754dWsuHchS7OzcDqUXaIGwtaL91FKMX+MyQbZ5rGy4y+UQfmxTpm76FgX6t2s3mn+SE3o18DA4o/NwJBpEZdlK6WYY2XHF5TXcKaq1gxc9qDdzPVCGVQVSH1UIYQQQnQLeUHNW8NkxleX+evUtrZEjc/Eof04w6DIB6Vktum1RduFCgDOd+xjgDIrRI8MvDy4FnULJbic/lWjeworOV8X5vPuhIC68QelVI3ovV4OSAYLZXlOo3FfMD6hP6SNbvqEiTf4N69y5HKuzs2uwsr2TlN0lZ12Gbd/ehbxmZnDybIqO6QkxTHLOt/mnijnXK29qoKM6fCpb5ntuip447uSJCp6HAnGx7C9p6po8JiT0sys1KYHBAXjI2fGQ0DdeK/UjY81b+w6RXW9yVj/TtZBlNe6eIiQFe/TpG48mBqo7prQT5D6qEK0S2BtzYW/ep8lT21keU4+Hq98yBRCiJbYYzVvTU5whS3ZGNS8ddCENr2P06HYNvBGIEIcYPYX2vTaou1CBQAXO7b4t5+vmtlkvKXmWaVqvBq2Hg+THT98DiSZ6yYOvi1BItFrnaoIc71oKQocb6iBkjDNW30GjYOBJhZxiWM38TSw8bDUjY9JZUdMMh+w0TOZU2oQ32jU0PfS8aZUjdur2di4JNFlD8IA6/gDb8IT2bJaX/QoEoyPYTus5igAM7PSmh5weo/56nBB+sRmX+/ikMF4qRsfC17Zai+RvqxhvT0w5bPNPnf2yEZ14wG2N1P/VOqjCtEmjWtrFlXWsu1EOQ+u3MV9/8iVpbhCCNGMereXg6dNaZLJw/rjcLSgeWt624LxAPVTl/GWZ27o9juTboIZd7T5tUXbNA4AOvBynXMrAGW6Hx9Ujw31tBYJrhsfJhjvcML4a832uSIo3t3m9xMilmWk9ok4Pixw/HQe+BLGQpWo8bFWniSrWhY49vKxBONj067l/s1XvYv49LQMxqYnBx1y2US7bnxQqRqAuD5w46P247LDslpf9CgSjI9hO/IDgvEjGmXGaw3FVjB+0ARwJTT7eplppm78AZ1FLfFmZ+HWjpqu6CRHS86zxcrcuWaEgz4FVomaYbNhQIjlf41MHd6feKc5FfiD8ZWFEZ6B1EcVoo0i1dZck1fctLamEEKIIIfOnPOvDG1R81Zoc2Y8wJxRg7i/4Zt8v+Fr5CdPN81gfS77QZtq0Yv2GZqSGPR4jjrIYGWui97xZDMkLTnU01pk1og04pzmzkvYYDzYdePBZMcL0Qsty47cGHvp3IDxoOatEVavTFzs37zKkUvuiQpq6iULOqZojd75IgA1Op63PPO474pxTQ6bNjyFVKsH4rqDJejGq4wqToR/D1mtL2KcBONjmC8Yn94vgWGNPpRyrtiuk9mCEjVg141342KX1wrintoFDbUdNWXRCV7ZZgfGvzEkz27aO3VJi56f4HIydbi5mN1TWEVtgwdShkd+ktRHFaJNWl1bU/QcHrdZVfTstbLMVoh2CK4XH6F5q79MjfKXPWiLGVmpOJwuXvFczrf7/hpufsIe3Le6za8r2m5SRvBNmMVOu0TNW955wQHAVuoT72R6pkly2lkQIQg49kqz+hikbrzotZbMyeT6KUNDjl0/ZShLZgdcMzbXvNUnawEkmt/Bq5zbqfd4yAlXMkp0Tyc3oaxA+tvebC6ePLrJeRtMKbhF40xfloLyGo6VVgcfIKv1RQ8mwfgYVXa+jpNnLwCmXrxqvHa2lfXifZqUqvE2yNLLbszt8bLSCsb3S3AxvfIDe3DKZ1r8Or668fUeL3lFlTCrmfqnUh9ViDYpKr8QebyZ2psiRnncsOKLZllt/mZZZitEO+QV2c38fMkEIZVYZWpSR5jl7m2UGOdk2nAT9N9VUEntmGvAaa04zXtV6oVHWeWFBt4OWGGm8HK9FYyv1En0u+jK4ABgG/hK1TR4NNvzy0MflJgCIxea7cJtcP5Mu95TiFjkdCgeXTbDv8ra5VBkj0zj4dum8+TnZ+MMLCPmy4xPTAndvNX/oi4Yfw0AmaqUi1Q+G6RUTUzRAY1bX/Vcwv0hsuJ9LpsQoVSNrNYXPZgE42PUzoLAevGhmrfusbeHTG3x6/qauO6QuvHdmq8B5HWPruPMuToAPjWkAcfJjeaArAWtyl4PauJ6ogJm3mnqoIZy0Y1SH1WItgpZdNg2rJnamyJG7XwxfAatLLMVolXyikxmfLzL0aT+rF9DDVScNNvtKFHjM3eUCc7We7zsLvX6A0WUHoAz+9r9+qLl/mfNPkrP1+PEw38MzeHDvv+XYcpkzTYMmMDjd2YHBwDbYF5A3fjNRyOVqrne2tBw6N12vacQserA6fPUWz2PPj9/BCvuXcjS7Kzg38P6C1Cy32xnzGz283BgqZqrHdukbnwsaajFs3slAGd0KmrsFcwIFa+yXBoQjF/XOBgvq/VFDybB+BgV2Lx1VshgfNsy47MGJDE8tY80ce3GAhtAHimxl3JlFK5BYWVntbBEjc/sEY2auDqccNtf4ZYnTWDfFRAgXPiA1EcVog1W7yziVGXksl/tWVovujFZZitEh/B4NXtPmWD8RUP7EecMcylTdhh8n4nSJ7b7fbNH2cHZnONnYcpn7cG8V9v9+qJlNh0t48Ut+Tjx8EyfJ7i34veM8hz3jw8q34Fz5Rfbvdooe9QAfHHEyHXjr7e3pVSN6KUCf0fmjR4Y+qDTe0BbJZ8ilajxGXe1vwzU1c5c9p6q4mx1fXunKqJAH3gLV4Npsv4vz0K+cWXkv8FD+idy0dB+AHxytMyUzPWR1fqiB5NgfIzabtWLVwqmZYaol+kLxvdJg34ZrXrtBWMGUsxAirUVoNYt/x0AACAASURBVJUmrt1KuAaQNzo3AeDFAZNvadVrDu6fSGaaCbhvO1lumqc4XTDrLrjnbVj6N/vg3SvaPnkheqmd+RV875WdEY9pUltT9ByyzFaIDnG8rJoLVg3vltWLBwaNb/f7zsyy3+ux9w7x+XVpuB1Sqiaaahs8/PBVUzrzVud6rtSbQx/YAauNkhNcTLVKE+WeLKfOHaZu/MCxdj+CIx+Au65d7ytELNoSUM997ui00Ae1tHmrT0AZqJmOIwzSFXxypKw90xRRUr7JTjA5OPTGoJVG4fhK1dQ2eNl6PKA0WKTV+pNuktX6IqZJMD4Geb2anVYwfvzgZPolxgUf4K43y2bBlKhpbhlYIwvGmBOmPzu+4qTUQexGQjWAHE4JcxyHAMiLnwb9hrT6dX2lakrO1VFQ3qhu9dgrIcnKdMhbBZ6GVr++EL1VcWUtX31uK3Vus4T3G5eP5eHbppM9Mo04pzk/K+DHN05u99J60U3JMlshOoSvRA3AlGER6sWXHrK321mmxu3x8uN/2itO69xeNuTX8k7DDLOj7FDwilTRKf649ghHrRWhX0/eEPngDlht5KsbX+f2srugMvyBvuz4+vNwopl5CdHDeL3a31x19KC+DO6XGPrAljZvDTTBLlVzhXO7lKqJBdWl9C9YC8A+7whuvu7aFj0tuG58QNyp8Wp9Z7w9duWPZbW+iGkSjI9Bx8qqqao1yy9D1osvPQhea3lmK0rU+ISuGy/Z8d3FqRANHj9tZcUDvOm9uE2vG1Q3/mSjZlXOOLv0zYUyk/0jhGhWTb2Hrz631d/b4bopQ/jetRNZmp3FinsX8uMbJwOmmMLru4q6cKaiUzW3zHbAmOjMQ4gYl1doB0UjBuN9zVsBBrWvTE24FYlveBYETExK1XSmg6fP8dTawwD0jXcyKr4i8hM6YLVRYLmNzRFL1Vxnbx98u93vK0QsOVxynooLJklr3qgIGdD+5q2pkDqyZS8+0S4DdbUjl41HJBjf3eWvfx4XZiXRpn7XsGjcoBY9b86oNPrEmcD6uoONfs6Bq/Vvetzev+OFDpmzEF1FgvExKKhe/IgQS8GC6sW3vHmrT9aAJDLTpG58dzU0pWnGga9EjVs72J92eZtet0nd+MamL7O3d73cpvcQojfRWvO9FTvZbQWPJmf05/fLZuLQHpO19+y1fH7jDayMf4jbnWt5ddsJUyJK9DwTF/trn4a08wX46BEpdSFEM3yZ8U6HYlJGCzLj+wyAvmFqGLdQqBWJAB94Z3JBS6mazub1av5z1W4aPOb/7/evm4grCquN5o5K8y8ujhiMH3ExJFhljA68Jf8ORK8S+LsxN1w5kvpqe9X+sFktX7U/YIz/Zuoixx6KyyrIP3uhPdMVncydawLkHq0Ye+UXUS38WSe4nFw81vytPnD6HMXhemxNvgUSrL/9O16Q1foipkkwPgbtyLeD8SEz40/vtrfbkBkPJjt+tx6NW1v/RKRufLeRnpwQ9HikKma64xgAH3unsXh+62/AgGmElhRv7kiHDMYPnwNpo832/jeh7lyb3keI3uKx9w/xxq5TAAxKTuB/784myQms+CK8dj/kb8Z5rpA5joM8Evc03yr/JXkFES74Reza/Cd7xVr/4dA/0yy3DWy2/eF/w1sPgtfbNXMUopvTWpNXZG5ujk3vS2JcmOXpXq8pHQPtLlEDoVckAtSQyAdeq9zC2SNQvDvkcaJ9Xthy0v+5dGZWKl+4eBQk9Iv8pA5o6peaFM/EIeZ9th0/i9sT5tzsjINxV5ntihPB/QqE6OFyAoLx88MF44t3g7Z+f1paosZnoilVk6TqWOjIY4OUqum2Du3Zyuh6c/7bHjeLS2ZPa9XzA0vVrDtYEvqg+CSYdpvZrj4jq5FETJNgfAzyBeOT4p1MGBLiw6gvM145IP2iNr3HgjEDqSGRAzrL7CjMBW+Y5kUiavYXV/HBgeD6/Tc67BI1J4Ze1+YGkC6ngxmZ5ubOvlNVVNe5gw9Qys6Od9fAvtfb9D5C9AZv7DrFo++ZYFC8y8HT/zaHYal9YOeLprlcI1rDYmcOR97732hPVXS2mnLY/GezndAf7t0A38kzy21v+wvc+oydNb/laVj1FdP7RQgRpKiylnKrHELE5q2VJ8FtZdWltz8Yn5HaJ+zY61KqplOdrqrl12/tB8DlUPzq1mk4978GR94P/6QObOrnCy5W13uC+hU0McEup8HBNR3y3kJ0d1prtljB+KH9E8lMC3OubG3z1kAT7brxVztypW58N3bk/Wf9286Zd7Q4K97n0sC68YfCBOMBZv+bvb29/f1BhOgqEoyPMbUNHvadMh8Gpw1PCd3szxeMHzDW3D1sA9+HT3+pmvrzwfU3RdS5PV6+/8ou/zLdm2cMI3tkGp+N3wyAxxHHXV/6RrsaQPrqxns1/ibBQaYvtbelVI0QIe0uqOS7r9iNqh5eMt0uAxXmQ6Pv8+rIE6toCJd9J2LTpqegzgrizP869GlUXm76UrjjZYiz/l7vWQkvLJXVR0I00uJ68R3YvBVgWXZW2LG13hk0OK0AlJSq6XA//Vce56zkkK9dOoZJrmL45zfsA+Z+xawy8q02uuVJuP1vHdbUb/4Yu8TRlkilasZdbZKgQDI1Ra9RUF5DcZW58Tlv9IDwwde2NG/1yZyLTjK/h1c6t/PJ4VK8XjnPdhduj5flOfl8+rGPmH7W3IisJpEpV7b+huiogUmMGGA+C398qBRPuJ9zxkwYamXdH3oHqqTnlohNEoyPMXsKK3FbJ6aZI0KUqDlfAudPm+02lqgBu278Di1147uLP6876q89PXdUGo8um8mKJQMYp08A4Bx/Dc6kED0EWiFiE1eAgWNheLbZPvYRVJ1q1/sJ0dOcrqrlK8/lUNtgAurfuHwsn5kVUNu2sjDi89N1SfilmSL21FTApj8BoOP78c+Ez7DkqY0s/NX7LHlqI8tz8s3Fxvir4e7VdqD+6Ifwt5ugWjLAhPAJzEyOmBkf1Ly1/cH4JXMyuX7K0JBjQwak4bzoBvOg/Bic2tnu9xPG23nF/sa5owYm8c1LMuDlu0yCEMDCB+DTvzWrjHyrjWbd1WGBeIDZAddav3nnQPB5O1DfgZA5z2yf3AQXpOSc6PlaVC8e7Mz4PgMgJfzNzZAcTtT4awHIUGcZWnOQ/cWSrNAduD1e7n9hOw+u3EX/05sZpsy/hzfd8/jmyoPhS3uFoZTi0gmm4WtlTQM7C8I06lYKZlnZ8doLO/7R5u9BiK4kwfgYE1gvflaoevFn2te8NdCCMQODm7hK3fguc/D0OR6zSl4kuBw8fOsUHDv+Dn+/1T6ob3q7SwnNCrjoCFk3HuzseO01GZxC9GK+jJAlT23k4l++xxW/WcvpqjoArp08hO9dOzH4Cc00nSvSA1mVGzlgL2LI5j9BnbmJuibpZv599Qm2nSinqLKWbSfKeXDlLu77R665YMnMhi+/bTI8wVy8PnstfPyo+fq7KeZr7vNSNk70SoHB+MkRM+MDanZ3QDDe6VA8cecsHr5tOtkj0xjaPwGXtQrxVGUtFaM/HTBJKVXTEc7VNvDTf9nXNL/8zFQS3/yW3QRy1CVw1UOdOge3x8tDr+31P65ze5uetwNNuM581R448kGnzk2I7qBF9eLrztnn5NY0bw0UUAbqakeu1I3vJlblFvJuXiG3O9fyh7g/+PeX0Y938opYtb311zOXTRjs3/7oQITkpOm3g9Pqo5f7vPRbEjFJgvExZntQ89YQWdCnA4Pxbc+MB7h4zECO6gyqtLV0vkCC8V3BlKfZSb31of/Ba8Yy+sP7TAPIqoA/crl/g1fuBo87zCs1LzUpnrHpfc3LnawIvQxwyq2grKyj3cvb/F5CxLrAjJBtJ8o5VVXHhXoTJO2X6OKR26bjaFw2albopnK+37Tlnst5d+9pKq26yCKG1VbCpj8C0OBM4j+LLw152Jq8YvuCJX2iye4cZN3EOXsE3vsp5G+GqgLz9bX7232uFyIW+Zq3jhiQREqfuPAH+srUOBMgdUSHvLfL6WBpdhYr7l3Iph9ezX/eMAmAeo+X3x8fAfHJ1iSlVE1HeOTtA/7yF7fNyWRh6XL7Rke/DNNvw+nq1Dmsyi30Z+Y3FnTe9pG68aKX2XLcBONTk+IYl54c+qDi3fg/5ba2RI3PuKvQzngArnLmsuGIBOO7g1dyjvNE3OM8Evc0g5R9s/z/uN7gybjHWLHleKtf8+KxA/03u9dFqhvfJw0m32K2K07A8fWtfi8hupoE42PMjpMmGD+0fyJDUxKbHtCBwfj5YwagcbDDO9bsOLNPath2gWfWH2NngbkAnTMyjS8lbwrZABIw+3e91K7385Wqqaxp4Gjp+aYHJKfDuKvM9qmdcGZ/u95PiFgV6UL9XK2bt/eebjow805IblruQAEn0hay0nMp9R4vr++W+ocxb/OfTUAeWJ1wIxWEaLhuWZ6Tbz9IyYQvr4G0UeFfuwPO9ULEkrPV9ZyqNMHZiPXiwc6eHjS+Q0uWBPr8/BEM7W8+h7+QW8L5UdeYgYoTwc0KRYsErjLL/vm7PPeJKcE4ICmen06vgHd+bA50uExN+OTBEV6tY7y8NT/ieNB5G2DwJEixbv4celdumIoe7cy5Wo6VVgMwd9SApsknPu1p3uqT0A81ahEA0x3HOHb0MPVuyYTuajPL3mSxM6fJ/WetYbEzhxln32r1ayYnuPyxiJ35FVRcqA9/cGAj19znWv1eQnQ1CcbHkJJzdRRW1AAwM1SJGoDTe8zXhP7tzgbKTEsia0AftvvrxmsozG3Xa4rWOXT6HL9/1yztS3A5ePi26aY8TSS57esqHlQ3/kSYWm3Tl9nbkh0veqlWX6gDeBrsZp6uREi0z+UDR0xCWw3gpFRNjKutgk+eNNtxfXnGfUPEw4usv+1+SQMgaVDk92jnuV6IWOLLiodmgvHVZXChzGwPGt9p80mMc/LAVebzscereflCtj0opWpapfEqs9JqO/gyLaWG5NVfNaVfAK77JYyYH5V5nWp8Xm6kyXlbKbtUTW2FWckkRA+Vc8wuZzpvVKR68e1o3hpowmL/5qe8W7m4ce8dEXU3aVOOq3HlId/jW9WHbXrdyyamA+DV8HGkkkSjFkHaaLO97zXp1SFiTpcF45VSC5VSq5VSHyqlNiqlrrP2T1RKfaSU2qKUWqmUSg54zsVKqc1KqRyl1DNKKVfA2M1Kqa3Wf79o9F5fU0ptU0rlKqXui9532bEC68WHbN7qcdtZykOmtK0mWyMLRg9kl3eMvePlu6RmbZR4vJrvr9jlL0/zvWsnMjY9GSoKIj+xspnxZgQG48PWjZ+4GOJMORt2vyJ12kSv1OoLdTDLKBsumO15X4Pv7jf9HoDkvBe4bqTJ4tx2opzjVsaRiEFb/myCMQDzvkK1K8wNdMuw1D5Nd54LverCr53neiFiyZ7CgOatwyM0by07ZG93QL34SJZmZzFigCnl+PCR4XjifKVq/imlaloh3CozF27uK/tv1Hlrldm0283fzSjJCHVeDhDyvC2lakQvseVYmX97XkuatyYNgv6R+yZF4h53rX/7KkcuZdX1kXs4iE71+q4ihnhORTxmhLNtwfFLx6f7t9cdjFCqRimYbZX/9NTDLkkQFLGlKzPjncCdWusrgE8Dj1j7HwO+pLWeBzwH/BRAKRUH/Bq4QWs9F9gDfN0aGwR8G1iktc4GkpRSn7bGJgOLgWxgDnC5Uqp9nU27yI58OzAaMjO+7DB4TOPA9pao8bl4VAp3ON+3d9RVSc3aKHn246P+GzCzRqTy5UWjzf9v94XIT0zJbNf7jhmU7K/Fuu1kmGB8fF+YdJPZrjgp2T+iV2rThfqBgCWbExdDXB9Y8A3z2F3Dt5Lt821bGh+JbqDuXEBWfBLvD1hG/tnI5+2lc7Oa7mym2W97z/VCxJIWZ8aXHLC3OzkYH+d08K2rTPZ9nY4nJ2GBGag8KStJWyHcKrP/dL3IPIf18xw8GW56rEMSjVpqWXaI83KAkOftUYsgzuq1dfDtTpiVEN3DluPmGjEp3hn+nFxbZd8gbWvzVsuqo072e83v3BWOHWxMuJ8V8Q9xu3Ntm5uFirbZfLSMP728mgGEKGcbICl9VJtef3JGfwYlm+asHx0sQUe6uT3jTruXXe5zciNcxJQuC8ZrrddrrX0FyCuAGqXUNOCk1vqodcy/gIXWMdcDa7TWvtuwTwG3Wdt3AM9orWutx78Gvmxt3wM8oi3Ab4Evddb31Zl8gVmHgmmhsoJ8JWqgw4LxV9S/z9XOHaHPa1KzttMcPnOe37xjytPEuxw8ctsMnGh47QGoCRMg95kdukFkSzkcilnWyovDZ86Hr9U2fam9vevldr2nELGo1RfqWtuZcn3SIHOe2Z57jyktBlyU/xLpceam6qrcgtBNlEX3tuVp/3m6aPznuffVk0T6Kc4bNYAls0ME1sM0+/Vr57leiFiyt8hkxqf3S2BwvxA9k3xKD9rbnRyMB/jMrOH+xvfPnJ1hD+St6vT37gm8Xs3h0+dw4uF251pWxD/EhoQHeD/+u9zjMjevz5MES583iSBRtGROJtdPadrjBSDOqVg0LkQpsbhEGH2Z2S49AL+ZKCuKRY9TWdPA/mJzTp4zMg2XM0xIqXiXvd2eEjWYZqEuTBKgQ2mGqbNkOw7ySNzTbW4WKlrv8JlzPPLcCp5z/Yw4Zc5pjT/j+h6rNn5OdTgUl44359fTVXUcPB0h6N8/wy4PdiYPiuRGuIgdXV4zXinlAH4DPAuMAw40OuSsUiqt8ZjWuh6Isx42HisGhoQaAw5Z+0LN5Wu+UjclJRGWxHQBr1ezK99kBU0Y0o++Ca6mBwU1b+2Y5P+0/SbIGvZGttSs7XAer+bBFTv9jWm+c80ExqX3hTU/gJ0vmIMcIX7+YLLVZ9zR7jnMGWGXqtl+Mkzd+NGXQbL1a5b3KrgjNFgRooW683m4sSVzMpkeplzC9VOGNg2wFu+CKitzZ/y14LR+jxNTYN5XAVB1Vfx06CcAFJTXkHNc6h/GlLrzsPEJALyuRO7Mm+s/l3/90jE8fNt0skemMSApzv+U/n1cOEM1Ppt5p70CqbGLPt0h53ohQulu5+HzdW6OWmW7pjbbvNUXjFcwMOTH/Q7ldCi+c81EANZ7p3NBWVnRUqqmWSfLLnDn/27ifG0dT8Q9ziNxT5PtOMhwVcZYh13+4I8p34FBnf+zbMzpUDxx5yz/eXtYSiKD+5lszQaP5gerdjfN2PS47b/zAOeLZUWxaLXudg5ubNuJs/7TW+R68R3QvNUy8+xbjHM0LYvSnmahonXOVNXyi/99iWf0zxigTIBc9x1M40+wCtodk/DVjQf46OCZyAcHJq9II1cRQ7o0GK+UGgz8A1intX4a87sb6pOrDjPmv/HWxrHgnVo/rbXO1lpnp6enhzqkyxwpOc+5OvMBblaoevEQHIwfPKlj3riymSVfUrO2w/2/DcfItQLgM7JS+cqi0fDhL00NYjBNH7/wT7jlSchaAP0zzddbnoTb/wYOZ7vnENTENVypGqcLpi4x27UVcPjddr+vEN35PNyY06EYnmaXoklPjid7ZBoP3zadJz8/u2mA9UBA/diJi4PH5t9rfreBa8+tJAFzc0saucaYnGegxtxAedF7DcfrTA3p2+dk8oPFF7E0O4sV9y5k24+v4aKh/QB4f/8ZjpSEyPpxOOG2v9rneldA2aPJn+mQc70QoXS38/C+UwH14odFqBcPdjA+NQvikzpxVrbFU4cyOaM/9cTxlnuO2VlVAAVbo/L+scbr1fx1wzGue3Qdm46e5VbnehY7c8Leu7h8VEJ0JxjA5XT4z9sb//Mq1j14hX8lxLqDJfx988ngJ+x8MTgbOJCsKBYt1N3OwY1tPmYnisyNWC++g5q3AkvCNANtb7NQ0TLn69z88tkXeLTuJ6RZgXjv+OtR39zRKTGJReMG+X+26w5GaOIKJsEp2VrFtHsl1EvPLREburKB6xjg/wHft8rRABwFGq8pHai1rmg8ppSKB9yhnqeUygBOh3nNCcDhDvo2omZ7YPPWUPXiwQ7Gp42ChH4d88ZSs7bTuT1elufks+Spjcz773f5xZv7AIh3OvjNbdNxbX4S1j1sDnbEwbK/w+hLYNZdcM/b8J0883XWXR0WnJmRlYovjhi2iStIqRrRq9W5Pf7GQqMH9WXLj65mxb0LWZqdFTrT+aCVteOIg7FXBY8lp8PsuwGIry3jK303APDG7lPUNsjS9phQdx42/sFsEs+jF8wNlysvGsyvbp2GClhippTiq5eY5uhaw7MfHwv9mk6Xfa7/akD/lg2PS9at6DXyCltYL76hFspPmO0olKjxcTgU37vOvN/rngX2QN6rUZtDrDheWs3nntnEQ6v3UmP9bfti4nog/CrcuWffiNb0mpUY5+T3y2bisv7G//KNfRwLbLa+vZkVw7KiWPQAOVYwPt7pCB+XADszvu9g6JfRrvfMaqYZaFubhYrmNXi8/PYv/+BnFT8iRZkeSA0TPo1j2fOQ0LdTYhIDkxOYat1833LsLBfqI6wqcrrMalKA+nNmZZoQMaArM+MfAr6stfanVmutdwATlFIjAZRS1wPrreE1wE1WyRowNeF9LZNfAr5uBegBvoUpewOmCex3lQW4H/hL53xLnWdHQDB+VkAJEb+acpOFAx1WogbAM/MuoOk1v++xb1y0jdvj5f4XtvPgyl1sO1HOmfP1/v+3owYmMebkCnjn/5odygFLnoHx13T6vPomuJiUYS54d+RXhO9QnzHTvuA9sAZqK0MfJ0QPtPFIGdX1Jphw7eQhQcHWJqpO2Rcloz4FiSECSgsf8Jeg+ppzNS7cnK9z887e002PFd3P1mfhgmlr83f3VZSQyqwRqTx55+yQ9VRvmjGMIf1NxufKbQWUnq+L/PpDpsB4qy7m6d1wSFYjid5hT5GdGT81TGkwAMoO41/8Omhi506qkSsmDmbWiFQ+9k6jSlsZ+Xv/Cd4wn596uMBEk4W/ep9b/7iB+1/I5frH1rHFCuS5HIpvXz2ByX0iB9FUN1uFOz0zlQeuNI17axo8fPvlHfbn5OZWFFeEblYrRKyoqfewq8Bc703PTCExLkzQtbYSzh4x2+1s3gqQNGhk5PE2NgsVkWmteeYfL/Kd4v+gvxWIrx1/E3HL/gau+Gae3T6XTTCrQuo9XjYfbeZmy6yAmJSUqhExoiuD8QuBl5VSawP+G4cJpP9dKfUxptHqzwCs5qw/AtYopTYA04GnrbFiTEPXDUqpT4AarfVb1lguJqC/BfgE+EhrvTea32hH2GGVLUlOcDE2PbnpAacDvqUODMav8lzKW565Tf5+KgVbPBNY5b2kw96rN1qVW8iavOKQYxNK38XxxrftHTc9BlM+G6WZwWzrps+Feg/7i8+FPkgpOzveUwd7X4vS7IToeu/k2UHyayYPiXAkcOhte3vC4tDHpGbB9GUApNQXc4tjI2AauYpurr4aveFxAGp1HH9y38i4wcn85e659IkPfaEa73LwxYWjAahze3n+kxPNv88l37G3P/5du6ctRCzIs4Lx/RNdZAaUBmsiqHnr+E6eVTClFN+/diINuHjbk212VhVCQU5U59EdNE40KaqsJfdkBa/vOkVtgwlaTx3enzfvmci36v6EOt9MPeBuuAr3vivGMsPKCN6RX8FTa62gY3Mrii+UmL4idREaEgrRjW3PL8ftNTc950UqUXNqp73dzhI1YDcDbVJ72NpRMn4pouOtWPUK/3bkO/RTNQBUjbuFxM/9FZxxkZ/YAS6dEFg3vpneCQPHwigrLpW/CUoat6EUovvpsmC81nqc1vryRv8d1lrv1lpforVepLVeprWuDnjOWq31fK31p7TW39BaewLGlmut52qtL9Za/1ej93rcGltg1aaPKRfq3f6O5dMzU0KXPzi9x94eMqXD3vulbUXc3/BNvt/wNXK8EyjVdjZnkqpjeY4Eidrj5a2hM2Qud2zn93F/RPk+clz3S5j9b1GcWXDd+O3h6sYDTLvd3pZSNaKX8Ho17+0zwfhByfGhVywFCqoXf3344z7171itj/j3Pq+j8LLuYAlnztW2c8aiM3lznkVdMDUtX/RcibN/Bs99eR5pfSNnDd05fwR9rWD985tONF+SaMQCGLHQbJ/8BE580u65C9Gd1bk9HDptEgImD+sfeQVS6SF7O4planwWjhvExWMG8oY3sFTNqqjPo6tFSjQBuHlSP/41ZT0TXroEcv6XMK28bLO/EHm8C7icDn6/dAaJceZS+rH3D7G7oDK4kWAonnp450fw+ymmH1R1mbXfbUrYPHst/G6K+Zr7PHilTJ3oXra0uF58xzVvBfxN7Zs0C1XwkWcaDx6a3LShsmgVd0M9OaseY/8vLqb4obEc/a+p3LLrXpKVuQYpGX0L/e/4iykLEwWzRqTSL8G817rmgvEQHCuR7HgRA7q0gatomd0FlVg3oCPUi++cYPypiho8OHnFczm31z9Edt2f+MgzHYCpjhNMPvteh71Xb3SitBonHm53rmVF/ENsSHiANfEP8kzc74hT1gfwy/4DLr4v6nObkWkvBf/lm/tY8tRGlufk4/E2+qCTNso0awE4/nHzS3SF6AF2FFRQcs6UFbl60pDQN0l96i/AUauxVPok8zsTTvoEmHwzAFmeAq51bMWr4V/bizpo5qIjBJZguOKXb1Lx7m8AqNNx/N31WZ67Zx7DUiNk8FpS+sSxbO4IAM5W17OyJasggrLjf9+m+QsRKw4Wn/dnYU5ttnlrQCZcenTL1Ph877qJbPBOpUKbJp86r3eVqmnweHl6/dEmn21XxD/E55zvc7dzDT8/fhfOdb+GBivfqu9gGDot9AtOuglm3BG9b6AVxqQn88MbJgHg9mr+/eXt1E5ZZuYcSuoIcFo38BNTxAAAIABJREFUaGsr4KNfm6D8m9+HF5fCa/dD/mZTdjR/s3n8yt0mUC9EN5Fz3ATjHSo4cauJwGB8RgcE4xs3tU+0YyIXSGTtobO8t6+ZVTYiLHdDPbsevZW5u37CRQ17GUopY3Q+8cqcf05k3kz6F/5f1ALxAHFOBwvHDQTgaGk1+WcvRH7CpJsg0fqcsPMlcNd38gyFaB8JxseAHa1p3hqXBGmjO+y9M0IEE379/9k7z/CoqrUN33smk15JCAkhhN47QaQKKAgqFqoKHlTETwXFXo4ej+dYsBy7iAULKiJFQFHpTTqBBAKhhR7SSe/JlO/HmiSTzMyeBNJI1n1dubL7rMlM1t7rXe/7PPq7y5YfMy2RHd0VUFhiYN5fx8nIK+Az3Se8p/uKcM0pQpQ0umgulQXi/3S7HUa8VOft0xuMvL32RNl6QYmRgxcyeP7XaGYvjrTWkC8zcjXB0RV111CJpJ6olkTNue2gN2e2d7YjUWPJ0PJg6xyn3wBT1YK0kjpBbzDyxOIDRKz+hJcS57KqaCbNEPqpS40jeOsfY+jUouom6g8MaVM2mbNwxzmMlSc8K9PhpvLAVex6SDqqfrxEcg0Tk2Bh3hqiYt4K5TI1bn7g7l+LrbJP/zA/hnVpyXrDAACU3CRRMt+AqKznbjfZoorHm0wmDl7I4NXfjnL9W5s5l5Jl9WwbrjnF27pv+I/uB3xM5s/U2RNGvgxPRMGsbeVBNu9W4vcd82Hyoqs2AqxN7rs+jGEdAwA4k5rHOxtiKwYMLd/LE4dgbjQMfkK8dwB9Aez/Ck5vtv0Cx9dA9C9182YkEgeUGIxEXhBxia7B3ni7qkiVJBwSvz2DwPvqzFvLsDS1f+40+As5snHaCPorJ/nvHzGOKwwlNolas4B+eTusfAJLSW7Wv1764hs6BZYt/x3rIDte51Ym90n+ZTi1thZbJpFcPTIYfw1QIRjf2kYw3miAlONiObAbaGruY50aHmq17ZipDasMQwBoYUiCg9/V2Os1BQ5eSOeWT3bw5d9nmaDdwThthN0bX/OO/a/a8OZKWBkZz3o7ppHrYpJYGVUp+737XWXGk0Qvsz5JImlkbDwmSvDdnbUM6RCgfvBJi4fBqgTjW/aB9jcC0FNzjqGao5xIyuGYhYmhpP5YdeAC42P/WRZo8lXKM3VCSeHi5ep9TqHN3BnXIwiAc5fzyuSP7KIoMNTCT0Rmx0saMTEW/V53e5nxBj0cXFSemGIogaif6k3i4+nRnfjTOLBs3Xi09qRqriSwXlnPXS3ZQu34Gd/u5711J7jhvW1MXLCbH/ZcIC2v2OGzrQENDHxEBKdveB5cPCsG2Z6OEb/7Tm/QgXgQXgHvTeqNj5sISn636zy7zmXafy/ewTDmdXjqKIz6F7g7eH4AIVcjkTQAjsZnUWAOdqvqxRdkQMY5sVwDevE20epg9H/LVl/RLSYuPZ+v/j5bO6/XyPE6Lib97IUdvI7XjxTt8E7lfeT2k1KqRtK4kMH4a4DSYHyIrxuBXq4Vdxr0sPMjKDEHAzIv1KjG4MT+rRjbPchq+/v6yRSbzA/I29+BQhkkckR+sZ7/rjnGpC/2cDZVlObeq9sO2L/xDcionxlde1r2pSyLqLTfvRl0HCOWk4/KTE1Jo+Z0Si5nzP/Dwzs2x1WnEiwwGuGU2bzVPQBC+lftRSykSGZrfwOkkWtDIWXX9zYDTSYTjNQeJmXnompf8+Hh7cqWv95RhYFktzvLq+BiVkK6HHxKGidHzZnxrjoN7QI8rA8w6GHF/bDmCTCZA8nFufUq8dEjxAfvbjeSYRLZz4aIb0l6rR0n3hxExMqPMehrpk1qgfJHfzpIYmYBxxKy2RGbyqqoS3z991keWnSAjTHxVhIyk7Xb2BCTwJNLD7Hi4CU2HUvm4IV0vth+xq7++87Tl5m/7QwXLaQDgt1NzHUVz672nm0zvbvAuHfAs7ntA64xgnxcef3OHmXrzy4/TFZBifpJbn4w/FkRlHe1U/VcSkYVzL0lkjrAUi9+YB2at9ql8zgIGwpAX81pbtPs5fNtp7mU4UDORFKOyYTh5HralpxSPcyvpH4kgFr5udOuubj37z6TRknl6vzKBPUsl0U6vRky1WMaEkl9UneiT5IrIjm7kMQsIW9gJVFTOgA5vqZ8W16qGIDErhdlklep66XVKHx2b19WRsWzLCKOhMwC/NydiU3R8JNhNA86rYP8NNjzGYz851W9VmNBbzCyMjKepQfiSMwsINjXjfAwP9YeTaowYBnXyYveSYmgovKjZNVP8C0xs0B1f4Kt/b2mwMm/xPKRZRDUw/oYiaQRsNGiamRMdwcSNYmHINccyOh0c9Wz/MKGQOhAiNvHIO0x+ulPsfqQCy+O64KTVs6j1ydDsm0HmkrXh+asBV6r1jV7tfJlYNtm7DuXTsT5DKIuZqibAmu0MGQu/PGkCEDu+gTGf1St15RIGjoGo4kTicK8tUuQt+2+7/CSis/BlpRKfPSdXouttM2ckR3JPeWKn5KLDgNBpBFUkgbRrxJ5ZiO9nlyJk07d4NkRakapG44ls8FGhaMWA5/pPmGcNqJsW6mMzChNFHOin+CP6ESrcyZodzBVu41gJY1Ekz9LDSP41TAcIxpCdLk8FnKGMdqDBKTsRilRD4Q1o/El8NzeuyUbjyWz5nACiVmFvPZ7DB9OrYJOts5N+BvE7bN/TG4iLJ0O4TOh7Q2iAtqgF9/9qB+FV5NPiDCP7XNvg68mkFy7lOrFA4S3qUPzVnsoiqg0+XokAC84/cLG4v68+edxFkyvYvJLU0VfhDF6GblbP8I75zSOeo0MXSDW6Zl1w/COAZxNzSO3SM/1b22mTYAHU8NDmdi/lW3Prr7TxfgLEywYDIFdZf8oaZDIYHwDJ+qiil58HQ1AnLQapoSHMsVCsuavI4m8vPhOJmu346UUYNz1KZrwmeDlIDDVyCnNUrIcHJVmKpUS5GpgYbdDdD//PUqxgwGJT6vaaqoqwb5uJJgngWxh05iw01hw8YKiHNi7AKJXgG8refOTNDpKJWq0GoVRXQLVDz61rny509iqv4iiwLBn4Gfhx/Co0+/Myu3EjtjLjHT0mpJaobDEwDvrTjDLlAIq6mEtlbQruv6sYe3YZ846W7jjHPOnqQTjQfSr294Wkz2HFsOIF8GrvoZKEknNc+5ybpkkQveWdvTioxxIeET+WC/B+Jx9P9JFc9lqu8kE/fJ2sP+PL7juricq7LOVzFE54GAymYhNyWXriRQ+3XK62u2ylJCxnFA0mYTu8gTjDpYbRpRtVwveP6T9i0KNG704jZLkwOvCAqWenm1rm9fv6M7+c2kkZxexKiqew3GZFJYYbH6OFeh7n3owHsS47vgaaNYe+s2AC7tE4lUppaavNZSMJZFUxmg0EXFejGfbN/cgwNPF/sE1bd6qRkg/oRMevZRQTSr/0G7g66O3sTP2MkM7VkEGqrFib8Ku8y0YDy6iePfnuBamUvnOauveoCiQ061+jLT1BiNHLpXHS9LyiknLK+bghQy2nEjhs3v7VpyoN+jh9Kby9aJs0TfK/lHSAJHfxAaOql58PQ5AbukZzNERfflix3ie0y1Do8+naPM8XO5s2pl5allKLhTzbLOdzGQ1mmPWAzSb9LuvBltXdaaGh1aYQKhMWIC79UaNTpTaFuWAoRhy4sWPvPlJGhEpOYVEmfvl69o0w9fdQWZjqV681hnaj6rei3UcAy16QPJRRmsj6aK/yKOLNXRv6aM+sJfUOEfjs3hq6SGcU4/wgnOu+sFXGGga1SWQds09OJuax9qjiVxMy6e1v42+thQnFxg0Gzb+S/S5ez+voJ8qkVzrHI0vH4D3CLGjF58Vb3t72f76qTAs1d+tTGmQwyV6MVu73U3XIG9aeLtgMJrsJnNsiEliUngr/o69zPaTqcQ7qF4sxU2nZcbgNgR4OhPg6UKApwvNlvwXjPYre/6l+5mn2lwkH1fyTTpyE2MZbDpkFaAB6Kyx8bdt3gV8QuH0RvsNq6dn29rG192Ztyf05IHvDwBw9rKQsyv9HG0GjkBMrMaut51g1aKH6N9LzYnTz8CmV+03oh6rQSSNm1MpOWXyS6p68VBu3urVsm4S9Ub9C2JWg6GIx51Ws9xwA6+tiWHt3GHommI1qUGPcfn9aE5Y9CnmCTujokVjMlAqfGw0KWwwhnO09XSGpy3jusJdFS6lKBDpMYz+4x+ru/ZbsDIynoMXbcckSn3sLBNGObykYiKUJbJ/lDQwZGSsgXMoTnQ+Wo1Cj8rGVfU8AHlmTGceuTSdlLgNBCqZOB1ahGHIbLTNO9bq614pVck4uhpMJhPf7T5nVc6bZPIjzhTIYE0MgflZ5SdoXSD8fkg7a3vQ0nU89K6fWeiJ/Vux5USK3YmFlZHxDGzjz5QBlW5+WXZ02eTNT9JI2Hw8pUwr3KFETdYlSIoWy22HC5O66qAoGAY/iXbVQ4DIjp9bMoeDFzLUB/aSGsNgNPHl32f4cONJprKRfzn/iIsi9J7tZQ/5D5t5Ra+l0SjMGtaOl1YewWiCb3ed47Xbu6ufFP4A7HgfCjMh4lsY+jS4OdAflkiuEWISyp+Z7GbG+4SIIIM96ikL29eBvm5zYwp3fCeyzX3ddTTzcC7zE6rMphMpbDpRfb3e7i29eXFcF+FdcnE3HF2JyaiuC+xNLt7x1oEMe/rvJkBpM0xoN3caC/7thW/V8hm2g8v1+GxbF6Tm2NeetBk4AlE5Oul78Zwc+aN4dvBpJSYtet8DikZkwkd8I/6mRgd69PVUDSJp3FjqxasG4/PThYcd1K5evCW+oTDoMdj5Id5KPnOdVvKflBks2n2eh4a1c3x+I8Nw6Ge0J9bYnETVmES1WaFJxwrDcGLbz+DecaMYG+SFvuRe9v/xBV7HluBXkkKGLpCcbvfQf/xjaJ3qJ2xYFR+7Cn2qo2TViG9l/yhpMMhgfAPGYDRx5JIYiHQJ8sLNuZLMRz0PQLQahf/dO5ivP7qHZ4sXoMXI8SUv0PWJlbX6uleCmnyMWkDLUQC/SG9g79l0Nh1LZsuJFJIyc22W8/bHopRY6wz974ehT4F3S1FOZe8BvJ6kXWx5BbT0dSPIx5U/ohMxmeCFldFoNAqT+pu/Zw20VFwiqUk2WPQho7s5CMZfqUSNBSuLBjDA2II2mmRu1+xmoMsxLpkChV5vzHBWRgVaD+wl1cZWXz+6aws2HU/mxIV4PtQt5Dbt3rLjTR6BKHkVg2OKAqYu49H0ufeK23FX3xDe33CSy7nFLDsQx5M3dVSvvnDxgusehr/fheIciPgahj93xa8vkTQkYhJEZrxWo9CphZftg/pMV5f4qKcs7ExdIEEl9qsgm5PFDO16lhhGkZkPmfkOAqxm/Nx13NCpOSO7BJKeW8wbfxyxo+c+jEc6pMPaF+HYasgROvA1Xkvl1RLu/6PiNkfB5UYsW+gocPTBhlO09HGjf5hfhXGdHg0r9TewtLgdiUUFBBe7MVUfykQ0aBUF2gwVP7kp8Gl/Ib1gj3qqBpE0bvZZBOMHqOnFJx4qX66rYDyIZITIHyH/MtO1m1hkGMNHm5y4vXdLAr1dHZ/fiMjY8RUB2J9EjTf681H7r3lwzACmB5dPdDvpnIV8mllCrSEIH1bbx85RsmrCQfh6FHS4Sfy07Ccq96UPh6QekMH4BkxsSg55xWL20kovHqDbnfU+APFx1zF+xvOc+2o1bZVEuqZvZsfWdQwbeWWBp+pQnUz3lZHxbIyJZ7KtAYudgJZaAP+HPecJ8XNjZ+zlss8I4EHteptanKUc0fWi55wlFSdKtE4iSN3AAtW2vAIAerc6y5t/HcdkgudWHEajwIR+rapw84uCo79C51tB17QeiiSNg9wiPbtOCz3wbsHetPJTkRABOHn1wfhlB+LogvBoUBQIIpMgJbPMbO+7/f+WwfirRK2v76ac53fnT2inEftMihblxldRrn9MGFVXCjQpVxloctVpue/6Nny46RT5xQYW77vI7JEd1E8a+Ajs/hT0BcKv4/rZ4OzguymRNHBMJhNH40VCSsdAT1x1dv6vPFU8NOoxCzun690Q/ardChqdYuA/ukXMdVvHIt0UPsu4DoOKhZ6ni5YfZg6kdyvfsmdcg76E3nsep1/ejrLjSvXc33BehMuuIusLOXtCca7IaLfYXLZ++6fQfQKUFEBJPiydBklH7LZL8W1te0cDfbatbRwFjpKyC5n+zT6ctRr6tvZlcPsABrb149ud59lwvNxw127CkGegMCNUG/81Uk1+Sf1hMpmIMAfjQ3zd1J9/68q8tTKu3sI7569n0SkGXnD6hUeLnuLtdSf4YEodtqMKXEm1flXOybl4hPRtnxOaeVT19XVahfdm3Fjj76s2qLaPnaNkVYD4g+Jn+zvg6gNtR0DmeUg8XH6M9OGQ1AHyW9WAOaRm3gqiLN0edTgA6RzSjMhBL9J271wAnLf9h+OdB9G1sqxODaIWPPntUDwPDmlLck4RCZkFJGQVsDkmwa4B1ShNFE+vepJFu8/j5+6Mr7sOP3dnEjIL2HYi0XYAP2E4RxOyaK8kEK49xQDNSa7TnqQ14kHa3kx0kKf2mn9InjW8HQaTibfXnsBkgmeWH0ajKNzp6OZnKIIVD4qbXs/J0GcatOgpMqfkLLTkGuDvU6kUG4xAFbLii/Pg3N9iuUVPUUJ7BfRJX0tPzXm7ZnuR6WuBYVd0bYnA9mRtMy6YWnCbZh8uijlj1aslyqRvIWyQWK+lQNN9g8L4fNtpivRGvt99noeGtcXFSaU/9PCH/jNg3xeQnyb604H/V+PtkkjqkksZBWQXCkmo7mrPk7ssvIoCu0NhVoPIwu53+2wiz2ysECgH0Y+nOgUTYLyMYiyhmT6Zp/SfMtWjJe8W3IGzomeKdnulLPfhdAnyo19rC1Nnkwnt/q/ol7fDKrAO4GKyCMS7+kDX26HHBAgbAr/ORKkkIaOAGDv0mSb+ZqWyatf9H/w+R+WNNk799yvFUeColGKDkX3n0itkG9vCprSNI8NX+ZlIapgLafmk5Ig+ZUAbB+bydWneWpn+98O+LyEtlnHaCAboT7AyEqYNbE3/MAc691dBdYLreoORJxYfwOPkcl4qfeZM9Gfp6hFsPT6ZT6eFW1Xrq53z+4FbuNv7CG3P/0L3khjs1JBVIJEAVKaxGxSOfOxCm1WaGHLUPwZ0gvRz5XJfhVlw/Df7x0upXUktIoPxDRhL89a+lc1bSwogYqFY1jpDUC/ISaq3AUi/m2eQcPQrWubGMFA5xrOLvuKVuXMdmxteIcsPXLKrZ77rTBq7zqRV2DZZu41xOuuM9dKA1iXTYv5KHEgSbpwxuZGLG4Xo+Ez3mc0A/rNOy3DCgL+SU612BxhSq3V8Q+WRG9pjMJp4b/1JTCZ4etkhwq6/jb5qN79SCrPEdzdioZBYKLL4G8pZaEkDxlKixqFe/JmtYgIKoPOVVwpNVLYC9s32JrD1iq8tESyPOG97spbY8oPa3wgTvgKPgFpvTzMPZyaHt+KnvRdJzSnit0MJjqsfBs0RfapRL7Lkwx8Era7W2yqR1BalEjWgohd/fhdc3COWw4bAA3/VQcuqhtbJiV5PrrSrv6vkxMP2d+Hwz2Ay0tKQwEfOCypco/SZ8y7NDrRB02HrNkg7A2mnxe9i8fxkV3rGPQDu/BzajQQni+fx6kjIqJmLNnL99yvBUeBo1rC2OGk17D6TxpFLmRhNjq9ppYms9pk4uUKncVfQconEPvvPW+rF+6sfnGDOLvZuBZ7Na7FVNtDqYMzrsORuAF7W/cRdxf9l+jf78XV1oqWfe436xUHVpHCLDUaSsgpJyipkTdRFxsf+k3E66/jC2tgoZn73X3qHBeDhrMXdxQkPZy3RFy7bPaco6VtckvUV2pRjcsNLKbBbmbXTaxy9a+Td1z6OfOxWRcUT5u/O3Bs7oiiK43vW5EUijnZ+B5zeJH4yzqs3IuIbGYyX1Aoy0tWAKQ3Ge7k60S6gkvHf4SUiAw7EoHvcO3XcukooCi0mvAM/3AbAzIJFjHi3B27Ouird+BzNKBuMJmISsth7No29Z9PZdrI6RlYmHtSuLW1m5WYDMMvpL2Y52R7E2ZKcaaHYqErwaC4CIQX2H8KVazwr3pLZIztgMpn434ZTGE0weW9bdrQdTXCCHTPaG16Aw79A9FLIM09KFNmZzJCz0JIGRonByBazgV6Irxvdgu0Eh0o5tbZ8+SoGxqHadFCREvY3pFBYYrAv4SBRxWA00S3lT1V5sa2agYyctgI0dWeUO3NoOxbvu4jJBAt3nGVy/1ZikGEP31DoNRUOLRZG2kdWQB8ZJJNce5Q+D36wqdxoNDWnCIPRZP0MueN/5cvDnqmjFlYdVf1dvzC4cz4MfRK2vgUx9v2WBmuPw+GXr6ABrtDpZuvt1ZGQacL671eCWuBobPcgXhzXtex7nF1Ywv6z6cz9JaqC5GVlrDSRK38mmXFCpqwgHfSF8NczMOk7+2W6Ekk1qWjeqpIZn3cZsi6K5bqUqLGk01hoMwzO76CP5iy3afaypngwBcUGErOLHPrFVZeVkfF2A8XrYpLo+doGCkrK/78dJQj+fW45i05fjwsluCjFuFDCbZq9Ns8BcFHKA/HHnHsS1/4eTngPpdPuZyokmYA4d61hAIHD7r/q911X2POxC/Fz47dDCQB8tCmWtNxiXru9O9qq3LNcPIXpeGfz+Ox/nSHX9mcIQEIkLJ4Mve+GzreAziyNI3XmJVeJDMY3UHKL9JxMFoHKPqG+aCwHIEYj7JkvlhUNXP9oPbTQGm27YRS3G43z2Y101cQxsng7qwqHObzxqc0of7PzHC19XTlwPoOcooqzvloMdkyrhuPp6sz8MZ50SllLwLnf0WapGyqpYe9ZtghnXPpMgdbXQ9hgaNYOon5qUuW8c0Z1xGCEDzedQm/ScMP5GbzdPpyuSb+VZ4F1vYf+t5td2IN6wk2vQexG+O0x1YkL1v8TshPF3zekf7kGsrzxSeqB/efSyyQTRndroR4YNRrh1Hqx7Nniqgys3APC4JL9B8QLhmZ8vSSKz6f1q5FBRVPBaDTxx5FEPtp0ineNm0GjIi+mzanTQDxA2wAPRndtwYZjyZxKzmX7qVRGdHZQVDzkSTj0M2CCnR+K4Hwdt1siuRpsPQ8CLNh+hnOX8yo+Q8ZHwpktYjm4D7QfVcetrSECOsLk7+DyKUhW1/ktw9UH/DuIbL78NPvH1VQCSBPVf78S7AWOpgwIZWK/iklJ3q46burWgi7B3qrZ9IFeLjZeqNJnUpABC4aKCtOYVcKYUH5ekhoiwpwZ38zDmfbNPa0PKB2b7f7UYqMCRkPdj80URWTHfzUCgBd0v7ChKJwiyquDbMo/mamK5Mzl3CKiLmYSdTGDH/dcUG2OZSAeYKpWveJ1nu5b5um+tfvWbJGKLx4P/Um3Vj3oBtxkNPF46ltsObmcKdpttFTSSDD5s8wwgtzOk/msf5hqmxsa9nzsRnUJ5NnlhykxmPhx7wXS84v5YEpvXJyqec/yC1MPxgPEbhA/Lj7Q/U7oOQX2LYATFgbmssJfUk3kN6SBEn0pE5O5dNFKL/7UOlGiCtDtDvBrU6dtU2NryKOMPrMJjWLibd3XPMtSEk0BZUapt3+WT+tm7mi1Ck4aBSeNhovpeUSct/0QejI5p2xSwhIPnYn/YVsD/kHtWlycnGm34UyV223yDUPpO11kapt/9MfW4GS0YX5lRu/aDJc751fc2ATLeefe1BGjycTHm2MpNmp4OrYn0FPsLAT2w9i8w+WDaK0OutwCf3moB+MLs2DrG2JZ4yQG26ED4dI+uHSg/Dh545PUAdWSqIk/WF790enmqwqIKv3ug0v7bGoCA5wzBrHhWDLP/xrN/yb1rjhxK7HCZDKx4VgyH248xamkLEZqouihO6d6TmutuqZvbfHw8HZsOCZ8SB5fEoWXi5O6yVfzTtDlVjEwuHwS3usAAR3kZKXkmsFRhmGF4MmO98t3Dn/22s8CLlDxgQJw9YN7l4J/e3D3F+838scmlQByrWAvcGQPR9I2FzMKOBqfRY8QFe8ENz8hpbboNjAZ4a/nIfR6cQ+QSK6C5OxCLqTlA3Bdm2bWySgGPay433rse2INLJ9RP2Ozln3Z5nojIwo300q5zAzter4yjK9wyGu/x7D9ZCph/u608fcgzN+dUD83/rPmGOuPWZspf7frHB1beHIoLouL6fkVrqWWIKjVapnc3sQgDtG94CBtUk/X/PvV6HBv1aO8PRqFT6aFszIqmHci7lKdFLyWuaNPCH7uzjzy00Hyiw38GZ1IZn4xX94XjqdLNb5zjnTmfUJF1SlAURZELhI/9pAV/pIqIqNWDRRLvXirYLzlrPOgx+uoRVVj4Ulnupua0UpJw0XRE0I6IUp6mVHqnMQnOJaY7fhClegQ6Mn17ZoxqF0AA9s149yGLxgQbbvEq6smDiyT6J3coEU3iD9oFdAqXVdueN6qw9QuHCMCv3Zwb97GemMTLed98qaOHI3PYvMJ2/JBNjMQquJ2XopRD/EHxI895I1PUkuYTCY2mh/Mfdx0XNfGgQlUDUnUAGUTfJXN9kqZpN3BTmNPVkYOwdtVx7/Hd1PP2m8C2MpqmtK/Ff5eLny8KZYL8QlM1m7jS+eNhGkcS57Z7OvrgN6tfPBx05FVUEJOoZ6cQr2VDmmFagiDXkxillKQBnFpcrJScs2w9IB6FWOZdnbKifJstOZdoPOtddC6WsbRM1HzztB6YMVtTTABpDHiSBM5Pa+YCQt289r47txzXaj9e3ybIUKu6e/3oCQPfp0JMzdW9AuQSKqJpUTNgLY2nn8PL7HdB0G9js0+Nk7hetPfuColPO+0lAec1hFval4WJM8vhj+PJFb5eseTcjieZJ0gqMVg23dIc4rZ2tU463Su3hs2AAAgAElEQVS0vBhf5dcp1Pni2nUsOLkIqTEnF/Ijl+JemGz/JBtVUNWdFLxWGd6pOT/Pup4HvttPRn4Ju06ncc9Xe/nugQEEeNqoKrJFVXTmU0+Y5XaXOc6iBxEHkjEJiQPkqKyBcuiinWD8pYNwcbdYbj0YWvWv45ap0yd9La00aXZ10CYYd7DcMMLqPLUZ5eZebmx6+gZxkZwkSNyB//mvAfslXiZA6TAaek0p1/ZaPsMqoKWA3QGLvYzUsgC+vYyjJljOqygKGfnFqse8/scxjiVk0znIi85BXnTpfg/ucfvsmssYxr6L1r+dMGe7sEdkGxvsVyoA8sYnqRViErJJyCoE4MYugY7lYE6uE7+dXKHdiKt7cXsTfN4tIWYlGsXEB7oFFJU48/1u8HbT8fToTlf3mtcweoORJxYfwOPkcl4qvZ8k+rP0txEcNrbnPu1GJrrswF2x7kuq3dfXMquiEsgqsG0YYHOC8/ASYUhlCzlZKbkGSKysjV2JMu3snR+Ubxz6dOOQY3KUmWerH2qiCSCNDXvSNrf1Dmb7yVS2nkylWG/kn6uOcOBCOm/e2RM3Zzuf7Q0vwNltcCkCEg/B1jdh9H/q9P1IGheWwfiBtoLxUT+qX6CexmZOviHEJwXQXknESTESTAbBSkZZguCThrkUGat/72ju5UK/1r70be1H31BfjAd/ZFCMbT33NpoUqGQHYfJojpKXanf86zzuDav+3tW/I6x53O45/sNmVvt9NCb6hPqy/JHBzPh2P/GZBRyJz2LsR38T5O1Kel6xelUpVO1e2qK7kD+66TXRxy6dDiX51tcqJauKCYeSJo0MxjdATCZTWWZ8aDM3/C1n9fZYZMUPblhZ8QATFXUdtJdcVjDvhhYYPALRu7fA4BbInN/juOfyx4zTlmc9l84o36fdyEWnXrDoE6GladbGdJT3qXgGw/QVFTdWd8BiJyNVLYDflEkyByvtkVOo5/vd58vWNQQwXzfArrlMrvZmJndsAx1Hix36IvigO+Sn2n8ReeOT1AIbLMpVHUrUZF6ElBix3PaGcq+Dq8HeBF9gV9j6Jk6KkU91n/BwyTN8shm8XZ14aFi7q39dB1RFV7MmzqkOqw5cYHzsPxmns85QskKjgx4TYMBDsPuTBtfXVzlLuBRHA+Ktb4nBRHCfa1/SQ9IoCfZ1K5v4tEVLXzdIPycMigF8w6DHxDpqXS1zpVnuTTABpDFiL4v1H9e3YcH2M7y/4SRGk5ByionPZsH0frSzpd2t1cGEr+GLYVCcA7s+hvYjrz4xQNJkKdWL93Rxomuwt/UBWQ6yvutpbPZ8UCTtUxLtJgj69z1D57GzuZCex/m0fM5fzmPBttMUl5TYTRAM8HJj34s3oKQch/i/4chBTCfF/cjeY5VJ0aJ0HgcdboR2I1F8W2NcNgPNiUrPnAqYuoxH0+deq2to+k7DGLuhWuc0NToEerLi0UH845v9xKbkcjm3mMu5IlFQtaq0lKreSzVa8VkG9XQgbVNDni2SRo0MxjdAErMKSckRWXt9Qi0cyzPOw7HfxLJ/B+EW3sAI1aaD7UQ+AJoZ02Hr6zgBpVMMPwBosTmj3Etzjl4F50Bd0tcaPxvGJNUdsMiMo2rhaBBdGSMa5pQ8wQTjDitzmV8Nw+l3IIHJA9qUn+DkAv7t1IPx8sYnqQVK9eKdnTQM69hc/eDSrHiAzlcpUeOI4c+JrIydH+KsGPhC9yEPlDzPG38KY7gpA2qvNFXNeFvNrNtm1vrqEWw9PplPp4XbfEDWlxQTtWYBXsd/wbckhUxdIDld76bf7bPROjmRV6TnSHwWh+MySdj6Ff/R2s5QKsOzBYTPhP73g5d5cqUB9vVVzhIuxdGAODteGJp5h4jvZpdbIWyoMIKXptiSBsDwjgGq2tlTBoTCrvfBZE41HPpk45Feks+cEhtoNAqzR3agb2tfnlgSxeXcYk4m5zD+s53c1SeE40k51hPbzdrCre/DqocBE6x6BB7dDe4OJPYkkkpk5hdzwizN0j/Mz3bShCOJrXoam4Wn/wnYTxAcEP0aSsJiejVrT69m7cC/HZn+BQxPW8YIbXTZ8aUJHY9pf6MIf5R550Bf/vzlOEEwCO5eXGGbZvL3Nvt6xV5fr9FW/5wmSLCPG9MGtua1Ncds7lcz7q02V1LNJpFUopE8wTYu7OrF7/1CmPIADJrdIMty3QPC4FIVdLRsoJqop2ghoJPI6gvqAbkpsPdz+8fXVAcoM46qjCMDqrfu6kG/MD9OJuVwMimHb3aeo0gPyw0jbEoXxWfYKP1ydOPrMeEKWi6R2CcuPb9sIDKsQwAejgyBKujF1/KEqaLAjf+GkgLY9wWuSgkLdf/jvuKXeHGlMAK3OVCvgQx0R0aL89aeoHeoL9kFJWQXlpBdoOfwhcv8I/41m1nra2OjeHbpPEZ2a4m/hwv+ns74ezjj5QzHP53EgLxy+ZWgkssQ/Srbjv7Fl+4P45FxjB7KWXoo53hAEw2K/fvJBYIJezLaWkO3Afb1jiY4FQWMRlO5aW9VfTiy4yFiofhx8RI/2QkW+6tgim3QywC+pEYpMRhZH2NfE3ds9yAmdtDAWnNQwzMI+kyro9bVEQ2wH5I0DAa3D+DPJ4Yx5+dIIs5nkFdk4Kd9F8v2W02G954KpzfBkWWQkwi/Pw5Tf5JVUZJqceB8+bjuOlsSNQA9pzTIoKSSrZ6goGCCy6fEj5lXwW6CYFtNMpTYuEcp2vIJYlv42gj8XklfL+8PVWJNtLoPwLy/jlNiMDKonT9tAzzKPDiqXbmrVs3m7g89J9fE25E0cmQwvgFR2gm8v/Fk2bb03CIMRhPaokyI/EFsdPdvsBIpjnTWufFVCB0IucmQkywMMPZ/ra655REITx4BnWv5NqNBuFpL06oGg5oB1djuQUwd0BqtRqFLkChx3HcuXTV4n1NkIC49n9BmFjIfajc+gJNrheSEDAZJaghLiZrR3RxI1BRmwzlz0Di4D3gH12LLzCgK3DxP9KGRP+ChFPG98zvcU/wKP1mMjapSolnVB1G9wch3u9XLlb7Zab1/snYb43S2jbfHaSMwHX+JvTHdyDO5kYcrebgyUHOcOU47bJ4zwriXEbl7QVf1P5e7Rn/NmNk5muCMzyxkxnf7+WBKH5p7uTierBwwC4pz4dQ6KDBftyhH/Nji+BpY/5IIePq2Bjc/s6GHHlbcX7EfrkoAXyJRYf7W0xxLzAagXYAHfu46ErMKaenrxpQBoUzs1wrtxlfAYPanGfy4qJiTSJoILbxd+XnW9cz8PoK/Yy/bPKZC5uet/xP9cuYFYXh88DsIf7COWy25ltl/vlwv3m4wPu20/QvU55jcUYKCizc4e0JOgtUuu5IzKCgh/SCkv/knHC7sgjVP2H8dmSFdpziqKs3IL+HlVUcBCPJ2ZVB7fwa2bcZfRxIr9KsOx02Vq9kyL4pna32BkFX++z0Y9UpNvz1JI0OOlhoItkr+AeZvO8OZ1Dzmh21HW5InNg6YJQxJGyKOdNaHPGkdKL24Vz2A0KxdxUA8yHLeBog9A6qyQXSlWWVHgabcIj3jPt7Bq+O7Mbl/KzFzbetz9wyCzPOQfxnOboXN/4HR/63dNytpMpRK1CgK3NjVQTD+zBYwmnW6aluixhKNBm77SGTIH1mOt1LAj87zuLv4X5wyVczIsVeiqSY7s+5oEvcODOVQXBaRFzM4FJdJfrFB1XjbiHho9SWH6zXHGaI5yiTtdsB+yfAt2ghuqeQhUfkYe+tl70PjjJNRxUz6GpKyUpvg1ChgNMGO2MuM+3gHH9/dhyGONKfHvSP6UIMe4vbCib9EdryaMfb+r8QPgM5d/P0UDaSesH28NIqVXAExCVl8tkUEdNydtXz/wHW09q/kt5GXBge+FctuzSD8gTpupURS/+i0GvKKVbJwsfATcfWBiQvh27Eic3fdP6H1YAjsUketlVyrlCZnLN57ARDj+NikHPq1riRVc+kg7P9SLOvcoXkXUb3eEMbkjhIUxs4TzyrF+ZBxDtLOwG+zoSjb7imKV0uYtaXixmZt4fRGmSDYQKiObG5SdiGrouJZFWW/ikJV2qZytULKCfh6pEiQ+vt/0HqQ0JeXSOygmEym+m5DgyQ8PNx04MABxwfWEMsi4nj+12ib+3ToifZ5BreiVHByhSePgqcD3eL6xKCvXpA88kf4fY79690xXw7sGyEGo4nZiyNtBpq8XJ3IKdSXrY/u1oJ5E3oS4GknCy45BhaOhtIJq0nfNh5Tt+rTaGqQ67ofrkxGXjH939iI0QThYX6seHSw+gmrHhHSHQAPb4eWfWq/kZYY9LB8hsiAA3JMbpw3taCZklMhUO7l5szIzoF4u+nwcdPh7arjVHIOyw9W3WRLi4HPdJ9YGTADRBg6cta5Czd7nsYn64QoBa4lCnDGbfQrohIhuDfGY7+jWfO4zUx6RQHj7Z+huYaylPQGo80Jzm7B3jzxSxRnU0Wfpyjw+MgOPDGyLU5Hl1X9/vt+N8hxoDVfXUKvh5nra/aa1x6yH64ixXojt3+2s0wO7PU7unPfoDbWB255Q2SaAYx8BW54rtbaJJE0ZAbP26xudOzjyu6XLAJA29+DrW+IZe8Q8G4J2YlNQV6sUfTDdf0sbC9BEESlc1mWsL4YvroBUsz63Hd8Dn0bkHSY0SCeie0FyScvsv7efzNGPYBv7/mmurEPSa2hFlMDeGFsZ5p5OLP7TBp7zqSV+TSqUaUxYCmHf4FV/yeW3f3hkZ2iz22aNIo+uDaRmfENhKUH4uzuu12zWwTiQXTqDTkQD9XXNHOUzSdnlBslapn0t/UK5rMtp/li+xmMJth4LJmoixnMm9DLtlRIi+5w53xYfr9Y/20OBHQW/gISyRWy+UQKRnMc2aFEjdEAsRvEsldLCO5du42zhdYJJn3LnjdvZpApCi+lgJ7KeaBcm32UJoo5BU+w+pB1WW6VXkKj0DXYi/GGLYzLtC05M0AbywBDLGRVPNeoaNCU+p7YIMOrI363zxOyKcV5UJxL6ob3aW60b9p8XteBrkPmlq1r+k7DGLsBzYlK1VkKmLqMR9Pn3uq94XrGSathSniozYycNXOG8q/VR1kZFY/JBJ9sOc2es2mM6TaYdcXtSCwqILjYjan6UCaiwdZw0OQTgqISjDf5tUHpPkEMLst+Lto9HhDHSCRV5LOtp8sC8YPa+TNtYJj1QYXZsM9coeHsBdc9VIctlEgaFo4yP1v6VqqeHvY0nNkMF/cIz5BSLW0pLyaxgSNPoLIs4V0flQfi240U4/mGxJVU0V+pKafUc28wOJLNfXh4e7QahakDWmMymTiTmsfEz3eRZZEEWBmbPnb26H03nN8pPJXy02DFTJixRvavEpvIb0UDwb6+lYmHnP4sXx00u07aU6dIyZkmi1qg6fmxXRjVJZCnlx3mYno+l3OLmfXDASb1b0WvEB9+O5xQSdf6TrRDn4KdH4rysF/uhYe3gbsdjUOJxAEbLB7kxnQPsn1QqZHl3s/FQxcIaS2TUZg61TVOLhz2HMKgnCirXaXa7A8Y17LQcCuVExbUZGc8XJz5aloP+jjF4ZZ6GNP2RYAD+RgnNwgbBG2HQ9sbIDEa/phrN2vdZ+Rc6Di6wvXOJxTTPPpVu+fkdKs0WavRopn8vc37idLI7iceLk58MLUPgzsE8K/VRykoMRBxPoMIC8M1R5qXEX63cd2l/Xb/vhGtZ3LdTZW0UBeOhkv77TfMO6Qm3p6kCXA0Pov5W4U8jYezlncn9So3JLYkYiEUmWf3rntI+BdIJE0URzKPUwZUeqbWaKHTOBGMt4WUF5NYoJYgCGYZpLD88kolnTuM/6hhmgPLBMEmR3VkcxVFoUOgJx1aeKn2qZkFeo5cyqJnK5+qNWLcuxB/UExWXdwNW9+Em/59tW9N0giRwfgGgr0sh2GaI3TVmG+KnW+BgI513LI6Qs4oS2wQ3qYZa+cO440/j7Nkv8jGXHHwEiss5DQqBJvufhmnpCNwepMwrPp1Jkxb0agCcJK6oaDYwN+xIiO7Q6AnbQM8rA+yZWQJcGGnKI2tp0yzSU47bW4vHSe9ovuZl91/o7hZJ/J9OpDp2Z6vY7SMyV/DCG15aWdpNv0c7WpKdD50+OV8mSa+wyGXe3N4OqaCwaImuDfG05uqlbXe7/bZRJ7ZSL+8HVbnRHoMo//4x6xfu4ndTyb1b0WfUB+mL9xPUrbtbMl1MUlM/GI3Pm7OZBWUkF1QQlZBCZl57ZivG2AlN6QosNYwgO8S+7Ks8sX6/UM9GK8ooC+S5poSVYr0Bp5ZdhiDufzopVu6VjRsL6U4H/bMF8tOrnC9jf95iaQJoZb5qQDdgr2tTzr5p/U2SyJ/bDL3TIk6jgwwEzPy4PfXys20R70Cfm1qvV11gkwQbBSoJfvZwtEEZ0GJgTvm72TW8HY8dVMnXHUOvgfO7kIG6asRQkJ35wcQNtgq4Ugi0Tg+RFIX9Av1tbl9ltbi4Wnw43XUGomk4eDh4sS8CT359v5wPF3sBzbXxSSx8nCSMKvyays2ntkiDF0lkmqy8/RlCkuEpMoYexI1h5fYzp6B8kyzesDfcNnhMUpJHi7JUfidWk7byLd5q+hNRmijsWUjE6ZJoYM+ttyctkqNaG8djC3NWr9jvtDd9G4lft8xH2WKDe1OQOvkRK8nV7K/9+sc13UjiQCO67qxv/fr9H5qNVonmVMA0CHQi2AfV9VjDsdl8fepVA7HZXLuch7pecUY0TCn5AmeK3mYCGMn4k3+RBg78VzJw8wumUtUfA4Ld5zlkmWJbp97MXYZb/+F4vbCD3dAnuPvoaTp8unm05xMFvI0QzsEMG1ga9sHRv0oDNoB+s0Az8A6aqFE0jApzfx8d1IvwsP8aOnjSph5IssEvLz6aNkkVxlZDrxBpLyYxIyLg0DjAy5byqVcQvrDwEfqoFV1SGlCx8z1Iqlk5nqxLgPxjZaJ/Vsx1k4FdDMPZwCMJvhy+1nGfvQ3e86kOb5o806iYqSUlQ877oclTQ45im0ApGQXstKGi3MX5SLDtUcAMLXsh9J6UF03TSJpMIzq0oL2zT04fCnL7jHLIuKYEj4Y7v4ZFt4kZqN3fSz0u5uuoaukGugNRlZGxvPOuhNl2zSKgsFoqlDaCIggkRr1lGmm+IQILVh7uAeAb2tIPVluelx6rp2Ud5OiQQm9HkL6icFX5kXYpFJyWYO6mk46Z6676wm4S8il2BEMavIk28mKt0SjgE+pca+bjnOX88gphOWGESw3jLA63mgw8cafx3njz+P0auXDuB7BjO4WyAfFT+BREswU7TZaKmkkmPw5aOzEdOfteBpzhBzC1yPhnqXQolstvFvJtUz0pUwWbD8DgKeLE29P7Iliq/PRF4t7OIDGSSalSCRmKmd+Go0mpny5hwMXMjgcl8lPey8wY3Cb8hMcPRf4tKrdBkuuCaIuZhCXbl8fuyWXmZH/vVjROMHtn8ogteSaR03aZkLfEH6NvMQbfx4np1DP+bR87vl6L/dc15rnb+7ExmMpLD0QV0k61yyH02uK0I+PXAQF6bDiQbj/D9Dq6vstSxoIMhhfzxiMJub+coi0PFHq1T/MDwVIyCzgRWUjmMfWyuDHG6YWm0RSh6Q6cDxPKC2tbNHN2tA19RSc3SpmpX1ChElPn3vlQ6SkDL3ByJyfo6xKvz/beprTKbnWmtsNNdPMkQHV6P+IYLjRKAbnqSeFwVCR/YkuxTMYHlxbvsFogPgDUlezAeHI1K9vqC8rHxtcIei5LCKO53+NtnuOgsi0BIi+lEX0pSyLiSrrAP4SwyjW+H+Kd+45MWHzzWiY9C10uvnK3pSk0VFZnublW7vSys9CnqbUhyPqR3HfLjSXjveaCr5VKzmXSJoaGo3CWxN6cusnOygxmHhv/Ulu7h5EUGnF1JUaU0qaDAmZBTz840H0lasqyjDxZbPF6PLNwfqhT0OL7nXWPomkNlGTtpk6oDUjOgfyr9VH2XAsGYAl+y+yMvISRXpj2XE2fZrGvQPxkZB8RFSObnkdRv+3zt6XpGEjZWrqmU82x7LnrCh16RDoyY8zr2PFo4PZPbsrI4q3i4N8W0PX2+uxlRJJwyDY1011f0vL/d3vgqFPieWSfNj+thiIZF8Sv3+fI3S9Dfbd0yVNi5WR8TY1WMEsg1S5gsnVgZFPfWWa9blXBMRtYRko12jE/aXjaAjson7NykGwUl1NG5IzTLYtOSOpXaY60Ma8Z2Brq+xjtdLcsd2D2PvPG3nrrp4M6xhgXRligwumIOa4vQvtbxQbinPh56mw+1NsaiBJmhwfbYolNiUXgGEdA7jb0myy1Ifj9zniPl1ooeGakyDv1xKJCp1aePF/w9sDkFuk59+/Hy3fqfZcENJPTqA3cfKL9cz64UBZ0tO4HkG8PbFnmQxSeJgfvwy6RM9884ROQCcY/mw9tlgiqVtaeLvy5X39+XxaPwI8hXSNZSDekgpjRp0bTP4enD3F+q6P4bMB8EF3+GaMqKI2GurgHUgaIjIzvh7Zdfoyn2yJBcBVp+Hzaf1wdzZ/JPu+BKN50HH9Y/ViAiiRNDQcGaxMGVApGDXqX3BqvXAzt0Wprrc0rZIASw/Eqe4XMkjm71j6WWESrEZ9ZZpdiQHVlWTNNTGj1IaOmqnf2O5BTOxnPTmkVpo7sZ8os713YGvuHdiajLxiNh5P5l+rj9odgACcztbCI8tgw8uw7wvABBtegeN/gMkA2YmyOqmJEnUxgy/N8jReLk68M7FXxQkiNR+OM1vl/VoiccCcUR34IzqB82n5rI9JZkNMEmO6B1k/F6SdgXxhUk9OEugLwdmGUb2k0WM0mnh2+WFiErIB6BHizQdT+uDmrOXuAWYvj7w0mF/a9ypCnkaatEuaGIqicEvPYAa39+fG97eXKVvYosKYMaAD3PohrJol1i+fEr9LEwRj14v+Wcb7mhzyE68nUnIKmfvLobJEsdfv6EGnADfxgHTwe4g/KHbo3GS2gkRiRi3YBNCqcua8Riv+h9SoJ11vScMjIcO+TiZYyCDlpcFPk0TWrz3qW6qluoHyPveKh0EpO3PNUpXAui3USnMt8fNwZkp4KEsj4lQnRVv6uonv37h3oHln+Os5kVwQt7f8IDkAaTKU+nAsibjIkUtZlCogvHxr14rVbNBgfTgkkmsFV52WN+/qybSFYnL937/HMLhDAJ4uTtbPBatnw6GfIDsBdrwPN75ajy2X1Bcfb47lryNiXBXo5cLX/wjHzbnSJPm6FyHfbFo54CFofX0dt1IiaTj4ujvj4qQuMFI2ZizFoCK1K5MDmyxSpqYeMBhNzF1yiMu54p9yQr8QJvcNLi/NjT9AmUprSYHYJktzJZKyYNO7k3qVlU629S/Xmn1uRTRZBSUVT8pJVr9ofel6SxoUxXojhSrZvmAOMpYUwJK7IV1kd9J6ENz20bUv1SJlZxoFpYH1FY8OZvdLN7Li0cFMCQ+tksRMVXEkh1OhQin8QVHdZ4/SAYikUVLqw/H8r9FEXcysoEW89UQKekOlPreh+nBIJNcQQzoEMKFfCACJWYX8b/1J2wfe9G9w8RbLuz8V2fKSJsUf0Ql8vFlU6Ts7afjqH+EE+7iJuEPkj0JG4512cGSZOME7RHxvJJImTrWkc6FqyQaSJocMxtcDlXXi37izh3pprhysSiRlVA42bXl2BLf1CgYgPrOAf/92tOIJPiHqF6wvXW9JgyGvSM/MRRFk5JeoHjc1vCX8+hBc2i82BHSCu3+G8Adg5np4Okb87jv92gxel2bNNYb3Iqk11HTmAXSVA/9q8kcgByCNGDUfjvXHkq19OOT9WiKpEV65tRt+7joAFu05z6G4TOuDPANh5D/FsqEY1r1Udw2U1DvRlzJ5ZtnhsvX3JvWiT6ivtXdHQVr5ST4h4OSg4lgiaQJUKzEFZLKBxCYyGF/HVNaJn3+vWSdezpZJJFeEoii8eWdPgrxdAVh9KIHfDlnc8Po60O2uL11vSYMgPa+YexfuY0fsZQB0WtsZxGO7tWBi6udw4g+xwSMQpq0A92Z11VSJpEFgq0KpdbPywflzK6LZeiKl/AQ5AGmyVMWHowK9pqpfUN6vJZIq0czDmZdv7QYI7+yXVh6hpHIlCgjJkeZdxXLseji5rg5bKakvkrMLmfXDgTL/lzkjO3BHH/NkqFqCYNx+mSAokaCemKIALX0qTVrJZAOJDWQwvg6prBP/3zt60DnIS6zIwapEcsX4uOt4f0rvsvVXVh8lvlSrrc+9QvPaFgGdpRZ2E+ZSRj6TvtjNYXPGWLCPK7/PGVIhyBge5se7k3rxefs9aPZ/KU7UecC0ZeAXVo+tl0jqj8oVSn8/P4qnbuoEgN5o4tHFBzlwPl0cLAcgTZbEypqplbDSVE09Yf9g6V0hkVSLif1CGNzeH4Djidl8u/Oc9UFaHdzybvn6uhehpLCOWiipDwpLDDz8wwGSs4Vc7s3dW/D06E7lB8gEQYnEIbYSU0L9RADeBDy+JJK4dAsvMkfJgb3vrr3GShosMhhfRxiMJp78pZJOfH+LAaiX/ZJvQA5WJRIHDOkQwEND2wKQU6jn2WWHMRpN1lrYHi1AMXd9abFwca/9i0oaLaeSc5i0YA9nU/MAaN/cg18fHUzXYB9rzW23A2g2viJOVLQw+Xto2bf+Gi+RNECeuLED9w9uA0BhiZEHv4/geGK24wFI2+G13zhJveDn4ay6v4Km6ulNsP8rsaxzh+C+0rtCIrkKFEXhzbt64mw2Gvxw06mKwaFS2g6H7neJ5YxzsOfTOmylpLbRG4wsi4hj4oLdDHprE4PmbebwpSwAugZ788GUPmgs5eVkgqBEUiWsE1NGMskc38vIL2HWDwfIKzL7PqolBwIkHqqDFksaGjIYX0tY3vgGz9vM0He2sPuM0Fxr39yD1w+pw2kAACAASURBVO/ogaJY3PgcDTBkaa5E4pBnb+5MF3O1yZ6zaXxTmgVkqYX93Cm47UOx3WQUGuB5aXauKGmMHLyQzuQv9pCULbK/+oT6suKRwdZmOwAX9sDK/ytfv+0D6DSmjloqkVw7KIrCq7d1466+IhM+u1DPfd/s50LoHeoDkEOLZR/cCDGZTBSVqJtil2mq5qXBaguj3zs/h//bJr0rJJKrpG2AB4+P7ACISdJXVh/FZDJZHzjmDTEJBrDjAxlwbSRYmmgfvJBBYnZRmT+Ss1bDl9P74eHiVPEkz0D1i8oEQYnEJmICtAd9W/sCcCIph2eX20kO9G4lkg50HuLkg99D9LJ6a7ukfpDB+Fqg8o0vIauQxCwR9NEo8Ok9fSve+KKXqRucydJciaRKuOq0fHR3H5y1omt7b/1JjiVkWx/YbwZ0nyCWcxLgt8fA1uBE0ujYciKZaQv3kVUgBiM3dGrOz7MGlmdwGvSiBPebMfBeJ1h0GxhERRPDnoX+99dPwyWSawCNRuHdSb0Y1UUM5i/nFjH9uwOk3PxFxQFIq4EQ1EuclB0Pv84Eo6EeWy6paVZFxXM6Ndfu/rHdg5jYr5W49/4xF3KTxY7e95Rn6Uokkqvm/25oT8dATwC2n0pl1PvbGTxvMxMX7GZZRBwGo0kEWIc9I04oyYcNr9RjiyU1hZqJdrHByN5z6RU3lhRAQYb6RWWCoERiFxcnLV9O708LbxcA1h5N4tMtp8VOy+TAp2NE0sGUReUnr5kLKSpyfZJGhwzG1wJqNz6jCY5aBgfTz8IfT5tXFBj0ePlgVZbmSiTVpkuQN8+P7QyIB80nl0ZRWFIpyKMoMP4j8Gsj1k+tg70L6rahklqncoXSiPe28tCiAxSaszXv7NOShTPChYk2iED8ivvh9zligjQvGYzm8kLvELjhxfp5IxLJNYROK8zpB7TxAyAuvYD7voskq/PU8gHIQxvg/j+gWTtx0tmtsG1ePbZaUpOk5xXzxp/HAXG7nTOqg5UPx/xp/dBqFFEZUWoW6Nsaxr2rcmWJRFJdnJ00vHFnj7L1c5fzSMgq5OCFDJ7/NZrZiyPRG4ww+HHwE3KPxKyCs9vrqcWSmqJaJtpGI6z6PyFVZA+ZICiROCTQ25Uv7wuvIBG23k5skI6jK06ELp8BxXl11FJJfSOD8bVAlW98+mJYMROKc8T6kLlw8xvlg1VZmiuRXBEPDmlbZlp1KjmXd9edtD7I1QcmfQsanVjf+CrER9ZhKyW1ia0KpfNp+RjNBRD3D27DB1P6oNNa3AYPLykPClUmOx6OLK39hkskjQA3Zy0LZwyga7A3ACeTc7h9/k7unL+rPCPzSDaGyT+Ck1ke6u/34OS6emy1pKaY99dx0vOKAZgxqA3Pjulc0YcjPFQE4tPPwtoXxEmKBu76Cly967HlEknj5EKaDa14M+tiklgZFQ9OLjDunfIda18AQ0kdtE5SW1TLRHvTv+HYb2LZoznc9B+ZICiRXCF9Qn15e0LPsvWnlx7iZFKO7YNH/BPChorl1BPwx1OyYr+JIIPxtUCVb3xbXocEc/AvpD+MkiWBEklNoNEovD+lN96uIuP5213n2BGban1gSH+46TWxbCyBFQ9CoQ1ZG8k1h1qFEkDXYK+KhlUAUT+qXzTSwX6JRFKGj5uOHx68jjB/oUN8IS2fQ3GZFTMyNxVhuO2j8pNWPiwCtJJrlj1n0lh+UOhNB3m78syYTrYPNOiFH0exWcpm6NMQNqiOWimRNC2qnCjW6WboeLNYTj0O+7+u5ZZJapNAb1fV/WVeSRELYfcnYtnJDe5ZCkOflAmCEslVMKFfK2YNE9VGecUGZv1wgAxzokIFtE4w6RvwMPs1RC8VGvKSRo8MxtcCQT5VuPGd3lx+03P2gonfgFZXB62TSJoGwT5uvGUxIz17cSR3fLbTWidz0OzygUfGOfjjSTkb3QhwNPBcfsCGOVm6SmkuSEMziaSaNPdy4Z4Bre3uXxeTxK/6ITBglthQlAVL/wHF9rM4JQ2XIr2Bl1cfKVt/7fbueLnaebbd+QFc2i+WW/aFEVIGTCKpLaqVIT12HmjNPjrb5kFuSi22TFJbGI0mIT+kwpQBoXBqPfz1nHmLAhMXQqv+td9AiaQJ8MLYLgzrGADAxfR85iyJtP1/6RUkKvYVc3h27QuQcKgOWyqpD2QwvhbwcVMPqt/Xyw1WPVK+YfxH0KxtLbdKIml63NarJXf2aQlAdqGew5eyrHUyjSa4cwF4BYuTjv7qOENa0uBJyFAP5iVUHpge/gXybFRPWOLT6ipbJZE0PTYeT1bdvywiDm5+C1oNEBuSj8Cfz8hJ0WuQBdvOcDZVaJ3e1LUFN3dvYfvASwdg29ti2ckNJnwtE1IkklokuDQD2g4VEsn82wv9eICibPh8EHzQXRjbR/4ozbavEf634WRFn7pKjO0exMTgy7D8ATCZg4Nj50HX2+qohRJJ48dJq+Gze/rRxlwluut0GoPf3mKdHAjQdhiMfFksG4qEfnxBZj21XFIXyGB8DfP132fZetJ+QGdct0BuP/s65JmzDPpMh56T6qh1EknTo29rP7v7ynQyPfxFJkjpbPRfz0PK8TpqoaSmKdIbKChRzwYqK8016GH9y8K0CgfBv3731UwDJZImRJUyMp2chRatu8ge4vDPcPC7OmidpKY4nZLL51vPAODurOW/d3RHURTrA4tyYeUsMJkDeje/CQEd67ClEknTY2p4qOr+/GIDhSUWQfbBc8HJHKDPvwzZl4Sx/e9zRIDIoK/F1kqulhUHL/H5NtEfu+o0PG7LRPu25miXTIUSs1nkwEfg+kfrsdUSSePEx13Hgulm03ogJafItok2CMm+jmPEcsZ5+G22TE5pxMhgfA2y/EAcb/4lAngaBe4bFGZ942u3B+XMZnGCf8eKRjkSiaTG+f1wgur+Mp3MNkPhBrORnL5AZIpIqYRrjoJiAw8tOkBmgbrp2JQBoZCfDosnwZ7PyncE2NE37joeet9Tgy2VSJoGjjIyy0yUfUKsS3TjD9Zy6yQ1gclk4uVVRyg2DyafGdO5fMKzMuv/We4L0GkshD9YR62USJouE/u3Ymz3ILv7TyTlMOPb/eQUmp+djv8O+kLbBx9fA9G/1EIrJTXB/nPpvLQyumz9gyl9eKayiXYPb7Q/T4Fcc+Va51tFhZpEIqkVjlzKLs+Ar0RZciCARgN3fQk+5gnUE3/Anvl11EpJXeNU3w1oLGw8lsyLK8t1MudN6MnUyjqp8Qfhm/+IZa2zMGpw8azDVkokTY9q6WQOfw7O7YALO4Vx1ce9xf+qTwj0ve//2bvzMDuqOn/875NO2CFsYQ2rigMqawBBRRyXAXdlUXAcRVTccRmdcfx+3WZcEB0V9YvCyIgbCKgzOv7EFRhEZQsgiyibCIEACSSsgXTn/P641Umn00sSUt3J7dfrefpJ3TpVdU/Rzae633XuqWTPoz28aDX2wIKFOfYbl+WSv9ybJJnSU7Kwb9lffA55ylY5bPoDyakv6TwnIEmmrJ+88mvJLod2/sic+a3OHPFTp3dGxO9xlO89rIRXzdgul99637Dtt977cD5wzlX5+MuemnV2fnby3A8nv/xo0vdY8u3Dkk126sxZrA6vts6+/PZcfEun7j51243yugN2WNLY15tcdUZn+rc5NyaPzO2sX39a8tIvJ0ONngdWqZ5JJV8+eq/84IpZOevS23LHvEeyzcbr5llP2jzf+v2tmfPgY7n4lntz9KkX5/Q37JdNl+eB9nv9/dh0nuV269yHcty3Llv8u+8/vmCXvPBpWy+9Ue9jyfde2/k7J0m22Ts57FTXVWjR8jxE+8j+TzCtt2lyxDeS0w5JFi1MfvF/kyu/kyy43+/CXUYYvwr8/ua5eft3Zy6+2/VPh/zNskH8gvuTc45NFjUf63v+x5Ot9xjjnsLEs/XG6+aO+cOM7knyaO+izH94YaauN6VzUXv5ycmX9+kEQf3TSfV/PPeGnyWHf6Pz1HNWK/MefiyvO+2SXHX7/CTJFhuundPfsG+unnX/Un94HrnvdjlsvSvTc9pbksce7Oy8yY7Jq89Ittyt83qvv/dHJqwih+0zPb++/u6ce+3sYbc567Lbc92d9+fk1+yT7Z7x7uS2S5I//X/JI/d1vhJ1eDU198FH88kBnwr91Ct2z+T+Tzv09SbnvL4zknawTXZK1h1+Gjlg1ZrcMylHzthuSeDTeNme2+Y1/3FxZs17JFfPmp8jv/a7/KzenhFjnnkjB0uMvfmPLMyxp1+W+x7ufLrhFXttm7c/54lL3xCdd3tnLuqH53R22nj75OjvJWutP449h+432uDA62ffn4ce7c36aze/206fkTz/Y51PE9ZFyd3Xddb7XbirmKbmcbpm1vy86fTL8lhv56O5bz5o57zl2Tt3Lnwzv9V52M2/PyU5ac8lIzCf9HededmA1o02T+bchx7LC75wQc67vgneb7mgE8QPxUdzV0v3PPBoXn3K7xcH8dtuvG7OfssB2XWL9XPkpPNzzlofzW/XflfOmfKRHHnDP6XnrL9fEsTvfHDypvOWBPHAKtU/IvMzh+++zNR9px+zbzZZr/Pgzmtm3Z8Xf+k3Oe/P9yQ7P2f4A6rDq5VP/OSPmdeEP68/cKc8bfrUJY1XnTF0EJ8kt1/i+wirgR03Xz/nvPWAPGFaJ5C98e4Hc+1DG46802P3J7OvHnkbxkxv36K847szc+Pdnd9tZ+ywST592NNSFvV1boj+6B2dAO+BWUuC+ElTklefmWywxfh1HCaI0aZsfPDRvjz3cxfkv6+cldo/R/xaI9Rhvwt3BWH843DLnIfy+v+8JA882hntfsQ+0/PBQ/9m2Qvf/bcnDzcfy528dvKSk3wsF8bISPNkrj25UwLvuv/RHPONS/OBc65K7+XfHPmAl/zHqu4ij8Od8x/Jq772u1w/+4Ekyc6br5+z33JAdth47WXr8O2XJH/6yZKdn/725DXf73wcEGhN/4jMpeasnbFdnv3kLfI/73pW9mgC3PmPLMwbvnFp7vjNKFMkjFanGRMX3Thn8Tyn20xdJ+97waBnbswc5fs0c5TvMzAmtp66bs467oA8dduNkiTfevSgJCM81v7RB5KvHZT8+N3JQ3PHppMMqdaaj/742lx4Qydk327TdfO11+6TtSf3jHxDdNHC5M4rxrCnMHGNNjgwSWbfvyDHn3llXvW13+e6O+5Prvz2yDtcfvoq6h3jRRi/ku66f0Fe+/WLM+fBzgja5++2ZT71yqellDLyha/30eSmX45hT2FiG2lU5u8++Nwctvf0xdueddntmTPr5pEPeOcVyZmvSW46z9PNx9mtcx/KEV/9XW6e81CS5MlbbpjvHXdA58GBI9XhJNnrH5JDPunjfTDOtt143Zz1lgNy9P6d6f1qTer9s0be6Y6ZyaVf7wRCjIsFC/vyoR8uGRn7sZc9dcnHq++6LvnFh0d/AO/821vsIbAiNttg7Xz3TU/Pfjtumu/3HZSf9u2boYaOPTSped5ZXZRc/p/Jl/ZKfn9y0rdwTPtLx+m//Uu+/fu/Jkk2XHtyvv66fbPZBmsnCxckvz1p5J3dEIUxMdLgwOc8eVqOnDF98VjdS/5yb178pQszb/YtIx901mXJzz6U3PPnVdxbxkqpwqQhzZgxo1522WWLX/cufCxX/PjkbPjHM7PxwrtzR900Z/QenO/3HZR9d9o8p79hv6wzeVJnKppvH5bcO0Kgt93Tk2N/NgZnASyPX1x3V/7lh1fnngcezTlrfTQzJi3nRW3zXZJ935Ts8er09qyzVI2YN2WLPLDrq7P3S9+ensnLBr6Da8po26/APl3zsZuBdXjwud87eVrO7H12vr3gmVmUSdl9+tScfsx+nSkv5t3aqcNzbxz+4OowrHbOufz2fOiHV+c7kz68fHV4yvrJ7kck+xyT3mm7tVVTV2afrq/DUx+7K7PqZvle38F54MmH56uv2CG5+pzOx6aXd/oKdRhWO4881peXf+Wi3HjXvLyy58Ic2XN+tilzc0fdLGf1HZwf9D0z393/tux/00nJg3ct2XHzJ6fv+f+amdde32odXoHtu6IOj5RJTF14V2Yt6tThHy46KP/590/Ls3JFct2Pkht+vmRKxuFsND1577UtnwGQdKaTGvwQ7SP33S6H7T09PZNKrrptXj7yo2tz5W3zkmTFMontD0z2/odkt5elt0yWSawhJkwYX0rZMsk3kmya5P4kr6u13jHc9oP/+PjDF16ZvR+6cJntLs2uecpBh2W9u6/sTIXw0D2jd8aFD1Y79z30WD7642uz1tXfzYlTTkmtS88m1f/64XW2yHoL7l5q37rW+pmzaKNM671zmePOXP9Z2f3dP8jkKWstXjdSTRlq+xXcp2sufP11eKRz/0XfXrl4s1fm/U97OGvfdUVy+2VL5sMciToMq6Vr75ifc079VD5STx62DteUlEETKDw0aYOsv2jZ4GEV1NSV2WdC1eH5kzbORvX+lLpo6YbJ6yS9wz9APS/7iodlw2roFf/volzx13nDtu+42Xr59Et2yq5/PjUbXXVKynDPWmqsqjq8gtt3RR1e3kxibtkkm/Y8kjJSzR3MDVFYrSxaVPP9mbfnhHOvz3Me+fmImURvzzqZ3Lf0/+917Y1yT9/62UImsUaYSGH8t5N8qdZ6cSllRpL31lqPHm77gRe+S3/wxez7hw8P+z/CCnPhg9XW8z77q7xv/qdyaM+ly7T9tG/fHN93fF449dYcseinefqjv01PFg1xlI7+GnHV1Odk0nb7p5ZJqaUnvX+9JPvM+9mwNeXiTV+anp2ftdSx+m6+MPvf+6Nh97lkj3/Nfq94V9JFF77+OrzKa3CiDsNq7BVfuiBvvvtfh63Dn1j4mhwx+YIc1XN+tij3DXuc/hpx9UYHp2y3b2rp6dThSZPTe+sl2WfeuerwKEarw8soPckTn5fs8arkSX+X/Ndbhp4ybNeXJEecnkzqaa3vwMo58FO/yh3zly/U3bHMzsfWOSPPrsvW62RJfbx+w6cn2+yVOmlKFk2akkVlcnpvm5m95v9iuevwCtTgpEvq8PJkEkPaZMdk0yeOPD2uG6KwWrp/wcK84LO/zkcePXHY34Xft/CtOWy9K3NE+VV27xt5gFl/zfjTBvsn2+yZRZPWyqJJU9I768rsMf/XfhceJxMijC+lbJzkjFrroQPW/STJa2qtQ972H3jhu/4TB+RvFl43+httslOy3f5JavKH7w2/nQsfrLYO/NSvctf8h4b8aO73+w7KogGP2tgy9+boyb/K23p+lCmlbxx7nfxxym7Z9UO/S7rowtdfh5e7BifJpk9Ips/ozGV69dnDb6cOw2preevw5PTmuZOuyGemfC1Ty8Pj3OuJXYcfKetk3b/7WPLUw5INpi1p6OvtTF0z81udOeKnTk/2fm2yx1GCeFhNHXbyb3P5rcPf6BzKz9d6f3aZNMrzPlo2oAYnXVKHVySTWJC1s85Bxye7vTTZ8qmd34XPfp0borAGWpFMYqdyZ17Vc16O7fmpTGINMlGeXLdTksGTB9/crF/8GPFSypuTvDlJtt9++8Ubbrzw7ozkvmyYTf5xZrLBFp0Vi/qShQ8Pf+Hb46iVOAVgLGy98bq5Y/6CnN13cM7uO3iZ9vXW6sm0DdfOvIcX5u4Fm+bzvUfk8J4Lsm3uHfvODrDJKHVqTTFUHR6tBj+Q9bLha76VbLt3st6mnZWL+jrTI6jDsMYZrQ5P23Dt7LP9Jrn7gQW59oGD8uDD38zUjH8YP5Hr8Py6QdZ9+luWbeiZ3Lnx6eYnrDFeNWO7EcP4o/bbLttvun5mzXs4d8xbkDvmPZL171uB6VFa0s01OBm9Ds/Lhtnqbz804EA9yeHfcEMU1kCj/S680TqTs/1m6+W+hxZm9kPT8+mFR+clPb+VSaxBJkoYX5IM9RGApdbVWk9JckrSuQvdv37elC2y1cLh5yCePWW7bNIfxCedC5sLH6yRRvsD5KMvfUqOnLFdks68bg882ptZn9sy2/YOf+G7uWyf2Qd8OKmLUmpftrn437JDHX700F/LNrl773cvtW6LmZ/P9nXZ+d/63Tdliwz9jPY1y1B1eLQafPuUHbPrk5639Ep1GNZYo9Xh9//dkxfX4SS5/hNbJAvnDrv9TWWH3HngxzKp9qrDy2Fl6nC3nDuQHLbP9Pz6+rtz7rWzl2k75Clb5d9e/rT0TFp60OP1n9hyxDr857JT7nj2iZm0aGEmLVqYUhdm299+JDvW24fdZ3Adnsg1OFnJOuyGKKyRRvtd+P+8eLelfhdesLAvN58wcibx57JzZj37xEyqCzOp77FMv+hD2aneNuz2E/l34bEwUcL4vyR54qB1OzfrR/XArq9ORpiv+IHdhhhh6cIHa6TR/gA5bO/pi19PmlQydd0p+fNuR41YI+bs/qYc+IIjFq+/9OF7ssMI28/e/a3Z7yXHLfXely5ckO1XtA51iZWqwYk6DGuoFanDSfLAriPX4Lm7vzHPfP4rltpHHV4xK12HgTVOz6SSLx+9V35wxaycdeltuWPeI9lm43Vz5L7b5bC9py8TxCej14h5u78hBx/8/KX2ufSBWdlxBerwRK7BiToME8mK/i68zpSePDRKJjFv92PynIOXDGC79P6/ZCe/C4+bCTFnfJKUUs5J8sla68xSyu5J/rHW+g/DbT9wfra+3t5c9fmXD/vE4D3e81/pmTxR7mtA9+vtW7RCf4CsaI1YmZqyAvt0zfxs/XVYDYaJZ0XqcMs1dWX2UYeBCWUs6vAKbt8VdVgmAROXTKK7TaQwfnqSryfZIMn8JMfUWu8abvuBF74k6V34WGb+z1ez4XVnZJOFd+e+KVvkgd2Oyj4veZuLHrDCNWJlaspy7tM1F76BdVgNBkbSYk1dmX3UYWDCGYs6vALbd0UdlkkAK0ImseaYMGH8ihp84QNYQ3TNhU8dBtZQ6jDA+OqKOqwGA2uorqjBbZo03h0AAAAAAIBuJ4wHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWlZqrePdh9VSKeWeJLcO07x5kjkrcLgV3X6s9umW91iZfSZyvybyua/MPmvae8yptR6ygsdaLY1Qh/2stPseK7PPRO7XRD73ldmnW95jpH3U4aGtjt/H8f5ZGc/3WJl9uuU9VmafidyvNfHcu6IOr4GZxJr4szKe+3TLe6zMPt3yHiuzz0ToV1fU4FbVWn2t4FeSy9rcfqz26Zb30K/V7z30a/V7j2768rMyMc99de3XRD731bVfq+u5d9NXt3wfV9eflYncr4l87qtrv7rp3Lvpa3X8PnbTz0q39Mu5T8xzX5375avzZZoaAAAAAABomTAeAAAAAABaJoxfOae0vP1Y7dMt77Ey+0zkfk3kc1+ZfbrlPbqJn5XVb5+J3K+JfO4rs0+3vMfK7tMtuuX7uLr+rEzkfk3kc1+ZfbrlPVZmn4lcg5PV8/vYTT8r3dIv57767TPR+0U8wBUAAAAAAFpnZDwAAAAAALRMGA8AAAAAAC0TxgMAAAAAQMuE8QAAAAAA0DJhPAAAAAAAtEwYDwAAAAAALRPGAwAAAABAy4TxAAAAAADQMmE8AAAAAAC0TBgPAAAAAKywUkrPePcB1iTCeCacUsoLSik/LaX8opSy/QjbPamUMnnA6xeXUo4b8PqlpZQ3Nl9vLqVs26w/qJTyoVXQzx1KKT8upZxXSvl5KWX3IbZ5bSnlJ6WUX5ZS1hrhWLsNev2OUsrfPd4+AhODurls3WzO7dzmvS4opeyzHP1bv5TyhVLK/5RSLiylfL+UstFy7PfLQa/XKqVMGvB6einlM8367412PGDiWoPq+ZmllF81NfZXpZSPNOv3LaW8t1nesqn15zbn88tSyl5N29dLKesPcdwdBq4vpTy1lPKpx9tfgOXVTXV4gLOH2P+/hjmuOsyEN3n0TaA7lFJenuTQJA8n+UOz+j2llHWTnFlrPX/QLicmOXzA64XNV79jk7ymWX5vkueWUl6fZP0kP1wFXf5qkg/UWq9uLqxnlFJeUGtdUEo5NsmMJI8kuabZ/oTmXL5ca71m0LE+k+TFI5wLwDLUzRHr5iNJXlZrfbSUsmOSbyd55ij9WyfJf9Zar0qSUsrbk7w5yWeb1zcluTFJTWfAxFdrrT9I0jvoOL9I8mgpZePmfX+QpCRZlGTBKH0AJqA1sJ6/NklfrXVRKWVGkleVUo5KsnNzDqm13pXkBf07lFJOTfLX5mXt326Q96dzbg81r/1ODIyJbqzDA2xZSrkgS35nnZxkq2GOqw4z4QnjmTBqrf9VSvl1kn9OskeSviQXJflsrbVv4LZNwLFPkieUUp6S5F1JNkny+QGb9dVaH2y2fyzJX5I8N8kzkhww+P1L56Nbvxqmey/uP9YAm9Rar276Pqu5s3xIkv+qtX69lPLTdC5ku6cTvvy01nrKEO+7S5K9mnM6OsmRSbZOctzgbQEGUjeHr5u11oH9mp1O8DOiWuvcJHOb95iS5AmDzu+6WutLhti1DDrOs5tjHJElfwzVdL4/fQEYZE2r57XWgcHMO5J8NMna6YQ3Txri+DsnWdjU2STpqbXWQdtMTuem6Y+aG7afSucm6U+H6RfAKtPldfjuWusrSin9v7OWJMt8WlMdhg7T1DDRfDzJ1encYX5NOjekXj/Edv83nbvW/zfJj2utByd5e5YORAbfzJqe5NdJ/j1DhDK11r5a68HDfA0OlJLkkVLKvklSSvmbJEckeeKA9i+nMxry5encFd+zlPLcgQdoLnbvS/LCJJ+stf6/5lz+ddC5AAxH3RyhbpZS1k7yH+n8MZFSyu6llP8upfysdKbEmdxMpfCMFMo++wAAIABJREFUpv0Vzcihm5Lsks4fYf0G/yG2bhPab1pK+XQpZYdBb/+sdP6g+W7nP1et6YyOBxjKmlTPU0rZoJTy1SRnpVPbvprkXwb1o/8G6ifTCbgW96+U8r8Dp3RI52bsm5Ick+Tq5sbmYYOPB9CirqzDSeaWUs5LJ+z/ZZKfJxlqOkh1GGJkPBPPg0k2TafY1yQ9GXBTqpm77LNJzq61XlNK+fck3ymlvKXZZOANrCtKKV9M56K0YZIfJ/nbdO5EH7gK+vrGJJ8tpUxN54L93XSmRej3UHMuGeZcNk/nzvkJzbn8qJTyjSwZ2elmHLA81M1h6mYp5QnpfMz2c7XW/lB9i3RG05d0/tj4VTojlT6QJLXWH6b56HAp5ZXp/FHz6tKZA/6ZTVA/KZ3/RnPTGQl1b611YMiUUsqeSR6otX6olDI9yTvLgHnkAYawRtTzph/vTLJnko/VWv/YjLZ8XpK9mvdJKWWnJG9LZ1Tlm2ut9w88TJL+acompzOi84+11ktLKR9McnrpzHncG78TA2Onq+pwv1rrG0c5njoMA5RBn96DrtaMYPyndObovT/Jfyb59/6PhTW/1E+rtV4yYJ8tktyTzkVt11rrqQPatkwn/NknnbnZ7kpyQZL/rbXeMOi9V3S6hcF9PzvJp2qtM5vXG6dzV/qt6YROp9Va/2PA9nsmeaTW+qeB/a213lVK+fskd9VafzHSewKom0PXzVLK/mlG99Ra7xupH6P08fe11qc3yxsMdU6llF/WWp834PUW6YzGf1U6I6wOSPKbdEZPnTzaH0TAxLQm1fNSypPSCWjekmS3dAL3WUkuTnJ9rfW85sbrxkm2TfLqdKb+KkmuT/Kj2sy/XEqZlmT3gdOLlVI2SecG7RZJ3lprfdwPOwQYTRfW4d2T/Fs6NxkeS2cqnU3TeX7HOknWTXJOOjcK1GFoGBnPhNBceGqt9dEkHy+lzE8yq9Z6zsDtaq23JLmllHJ4kltqrZfXWu9ujrEwyb2DDv1f6VxM/z2dh45snU44c3+SpS5+zQX24BXo805J/lpr7SulHJrO3Jczm7vKfbXWeUk+0Exh8J1a62WD3u/K5jhvT2e+5Fm186CrpDPH8IghFjCxqZuj1s0PJjmq1jpw5P1o/dssyV611l82r1+bAdPU1FofLKV8vNb64UG7DhwxdVA6//3e2rz3+0sp26Xz0WWjioBlrIn1PJ2HWf9vc/yPp/Ocj62SfDidUCq11vlNWPQv6UxR0/8A7N2SfKGU8upa65211nuS/KqU8swkU2utP+m/idqM9Jy9Av0CWGFdXIf/kOSlA87zmUmeXmv97BDHU4ehIYxnonhRkn8upSxI5+5uTbKolHJsOh8NWyvJl2qt32+23yrJnIEHqLVenM5d4MGuGRDG3FZKuTjJNqugzzsnObWUskGSW9O5450kb0jyulLKo1nytPKPN9MTTErnoSr/MmDKhJ2STBl0Lj9YBf0Dupu6ufS5LK6bpZT10vn4709LWWqKy9FG6z+c5MhSyifTGQn0pyTvHbTN04fY73kDli9OcvigmwD9IXyJ3+2AZa2J9XxSOqMsr6m1PtSsm1VKuT7JBgO22yjJdUmurc1HvkspV6YTIm2e5M4B227crFus1npbki+tgv4CjKSb6/CKUIchpqmBIZVS3pFOeDM3S4KbnnQeMvK+AdsdkOT/pBPaTErn4XvXpBPqPDqmnR5GKeWz6YRGD2bJwwEnJ/l5rfXEcesY0FXUzVX23tenEyItSucPs7Wbr8/XWs8eZp9Nkuyf5Pwkp9ZaX9tmH4HutrrU81LK36YzInNKOjV4/XSmWPiXWmvvgO3eleRlTR/T9OUntdYTBh3vxek85+P2Aec1KcmcWutrHm9/AVaVNa0OD9j+oCT7DTMyXh2GhjAeAGA1UUqZVGtdNN79AACAFVFK2SjJ+rXWO0fdGCYwYTwAAAAAALTMg74AAAAAAKBlwngAAAAAAGjZ5PHuwOrqkEMOqeeee+54dwNgRZXx7sCqog4Dayh1GGB8dUUdVoOBNVRX1OA2GRk/jDlz5ox3FwAmNHUYYHypwwDjRw0G6E7CeAAAAAAAaNmYhfGllA+WUt4y4PWTSykXlFIuKaV8v5SywYC2A0opF5dSLi2lnFpKmTyg7aWllMuar08Meo83l1IuL6XMLKW8fVDbR5p9ZpZSDmvzXAEAAAAAYKDWw/hSyrallN8nee+gpi8mOabWul+Sbyb5SLP9lCQnJHlhrXXfJNckOa5p2zzJe5I8s9Y6I8l6pZQXNW27JTk0yYwk+yQ5uJTy1Kbt0CSbNfscmORtzbEAAAAAAKB1rYfxtdZZtdanJ3l//7pSytOS/LXWenOzzX+nE5InySFJzq21zm1en5zk8Gb5qCSn1loXNK9PSPKGZvnYJCfWRpLPJTmmaXtjkk8377UgyanNsZbSjKy/rJRy2T333PM4zxyAFaUOA4wvdRhg/KjBAN1vvOaMf2KSPw1ad28pZZPBbbXWx5JMGWq/WuvsJFsOc8wbmnVJsmWt9Y5h2hartZ5Sa51Ra50xbdq0FT4pAB4fdRhgfKnDAONHDQbofuMVxpckdYj1dZi2/tcr2zaUkdoAAAAAAGCVGa8w/uYkuwxat1mtdd7gtlLKWkl6h9qvlLJ1kruGOeYuSW5slueUUrYapg0AAAAAAFo1LmF8rfXKJLuUUnZIklLKIUkubJrPTfKSZsqapDMn/FnN8plJjmsC+iQ5PsnXm+VvJnlfaSR5R5LTmrbT08xZ3+z7D0nOaOPcAAAAAABgsMnj+N7HJ/l2E5zPSvMg1lrrglLKh5KcW0rpTXJVknc2bbNLKScnuahpO7fW+tOmbWYp5cIklyTpS3JarfW6pu2HpZT9SikXpzM9zScHPCAWAAAAAABaNWZhfK31G4NeX53kWcNse36S/YdpOytLRsoPbjspyUnDtH1w+XsLAAAAAACrznjNGQ8AAAAAABOGMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXjGsaXUrYvpfyklHJ+KeWSUsormvUHlFIuLqVcWko5tZQyecA+Ly2lXNZ8fWLQ8d5cSrm8lDKzlPL2QW0fafaZWUo5bGzOEAAAAAAAxn9k/GeSfKLWenCSQ5OcUEqZkuSEJC+ste6b5JokxyVJKWXzJO9J8sxa64wk65VSXtS07dYcY0aSfZIcXEp5atN2aJLNmn0OTPK25lgAAAAAANC68Q7je5Lc3iw/mOTmJIckObfWOrdZf3KSw5vlo5KcWmtd0Lw+IckbmuVjk5xYG0k+l+SYpu2NST6dJM2+pzbHAgAAAACA1o13GP+BJJ8vpbwnyTlJ3pvkiUn+1L9BrfWxJFOal4PbZifZcqi2JDc065Jky1rrHcO0LdZMc3NZKeWye+655/GcFwArQR0GGF/qMMD4UYMBut94h/GvSXJuOqPfP5bkU0nWS1IHbdf/uqxk21CWaau1nlJrnVFrnTFt2rTRew/AKqUOA4wvdRhg/KjBAN1v3ML4UsquSXautZ5aa11Qa70syZlJJifZZcB2ayXpbV7ePKht6yR3DdXWLN/YLM8ppWw1TBsAAAAAALRqPEfG35/kaaWUDZOklLJ2kiOTnJ/kJaWUTZrt3pDkrGb5zCTHNQF9khyf5OvN8jeTvK80krwjyWlN2+lJ3t+8z1pJ/iHJGS2dFwAAAAAALGXyeL1xrXVWKeWTSc4tpTyWzo2B/6i1XlBK+VCzvjfJVUne2ewzu5RycpKLmrZza60/bdpmllIuTHJJkr4kp9Var2vaflhK2a+UcnE609N8csADYgEAAAAAoFXjFsYnnZA8yQ+HWH9+kv2H2eesLBkpP7jtpCQnDdP2wZXuKAAAAAAAPA7j/QBXAAAAAADoesJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWjWsYX0qZVEr5dCnlN6WUC0op/9SsP6CUcnEp5dJSyqmllMkD9nlpKeWy5usTg4735lLK5aWUmaWUtw9q+0izz8xSymFjc4YAAAAAADD+I+P/Ocl9tdZn1lqfneSsUsqUJCckeWGtdd8k1yQ5LklKKZsneU+SZ9ZaZyRZr5TyoqZttySHJpmRZJ8kB5dSntq0HZpks2afA5O8rTkWAAAAAAC0btzC+FLKWklemeQz/etqrbckOSTJubXWuc3qk5Mc3iwfleTUWuuC5vUJSd7QLB+b5MTaSPK5JMc0bW9M8unmPRYkObU5FgAAAAAAtG48R8bvlOQPSd5RSvl18/W8JE9M8qf+jWqtjyWZ0rwc3DY7yZZDtSW5oVmXJFvWWu8Ypm2xZpqby0opl91zzz2P6+QAWHHqMMD4UocBxo8aDND9xjOM3yDJ85PMrrX+bZJXJzmx6VMdtG3/67KSbUNZpq3WekqtdUatdca0adNGPwMAVil1GGB8qcMA40cNBuh+4xnG35Tkj7XWs5Ok1np3kovSCdV36d+omc6mt3l586C2rZPcNVRbs3xjszynlLLVMG0AAAAAANCqcQvja63zkswupRySJKWUDZLsneRrSV5SStmk2fQNSc5qls9MclwT0CfJ8Um+3ix/M8n7SiPJO5Kc1rSdnuT9zfusleQfkpzR1rkBAAAAAMBAk8f5/d+V5EullH9uXv+fWusDpZQPJTm3lNKb5Kok70w6c8SXUk5OclHTdm6t9adN28xSyoVJLknSl+S0Wut1TdsPSyn7lVIuTmd6mk8OeEAsAAAAAAC0alzD+GZ0/GuHWH9+kv2H2eesLBkpP7jtpCQnDdP2wZXuKAAAAAAAPA7jOWc8AAAAAABMCMJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFomjAcAAAAAgJYJ4wEAAAAAoGXCeAAAAAAAaJkwHgAAAAAAWiaMBwAAAACAlgnjAQAAAACgZcJ4AAAAAABomTAeAAAAAABaJowHAAAAAICWCeMBAAAAAKBlwngAAAAAAGiZMB4AAAAAAFq2wmF8KeXwNjoCAAAAAADdarnD+FLKx0spPUne1WJ/AAAAAACg66zIyPhta619SR5tqzMAAAAAANCNliuMb6am+UnzcmF73QEAAAAAgO4zebQNSikfSXJvrfVLzaq+Usqr0gny10oyqdb6ny32EQAAAAAA1mgjhvHNHPEbJVk0qGlhkpLksSS97XQNAAAAAAC6w4hhfDNH/PtKKW8opbyq1vq9pulHtVYhPAAAAAAALIflmjO+1npakucPWLVWO90BAAAAAIDus1xhfOPaUsp6zbIwHgAAAAAAltOoD3DtV2v9fJKUUr6S5JHWegQAAAAAAF1mucP4frXWc9voCAAAAAAAdKtRw/hSygeSDPWw1slJvpzkc7XWt67qjgEAAAAAQLdYnpHxFyd5LMmi5vW6ST6b5N3phPQ7t9M1AAAAAADoDqM+wLXWekGSO5PcWmu9OMm+SebWWn9Ta30snaAeAAAAAAAYxvJMU3N8kn2SbFtK+VSSBUneMWCT2lLfAAAAAACgKyzPNDUvrbU+t5SydZIvJbkpyV6llPVqrVct5zEAAAAAAGDCGnWamiSl+feRZnndJFOaLwAAAAAAYBTLE8ZfUkr5eJJTkpyWZHat9TtJnlNK+XGS7UspZcQjAAAAAADABDbqFDO11n8upRyU5Oxa69WllL2b9ScmObHtDgIAAAAAwJpuueZ7r7X+74CXn2mpLwAAAAAA0JVGDeNLKf+cZNGAVZNKKZOS9NZaP1NK+UKt9d2t9RAAAAAAANZwyzMy/uIkfUl6m39LOnPN9zXtu7XTNQAAAAAA6A7LM2f8eWPREQAAAAAA6FaTlmejUsqMUsr/V0r5cSllz7Y7BQAAAAAA3WS5HuCa5N+SHNZsf2aSQwe01VXdKQAAAAAA6CbLG8ZPqbU+lCSllCnNv1slWTvJ+qWUSbXWRSMdAAAAAAAAJqrlDeMXllI2SWdam95m3bFJdkhybRsdAwAAAACAbrG8Yfx7kpyazkj4f0qSWusn2uoUAAAAAAB0k+UK42utf0xyeMt9AQAAAACArjRpvDsAAAAAAADdThgPAAAAAAAtE8YDAAAAAEDLhPEAAAAAANAyYTwAAAAAALRstQjjSynPKqXMGvD6yaWUC0opl5RSvl9K2WBA2wGllItLKZeWUk4tpUwe0PbSUsplzdcnBr3Hm0spl5dSZpZS3j42ZwYAAAAAAKtBGF9KmZrknUnuHLD6i0mOqbXul+SbST7SbDslyQlJXlhr3TfJNUmOa9o2T/KeJM+stc5Isl4p5UVN225JDk0yI8k+SQ4upTx1DE4PAAAAAADGP4xPcmKSDyXpTZJSytOS/LXWenOS1Fr/O8mBzbaHJDm31jq3eX1yksOb5aOSnFprXdC8PiHJG5rlY5OcWBtJPpfkmPZOCQAAAAAAlhjXML6UcnSSy2utNwxY/cQkfxq06b2llE0Gt9VaH0syZaj9aq2zk2w5zDFvaNYN7s+b+6e5ueeee1bupABYaeowwPhShwHGjxoM0P3GLYwvpWyf5NBa69cGNyWpQ+xSh2nrf72ybUtW1HpKrXVGrXXGtGnTRjkDAFY1dRhgfKnDAONHDQbofuM5Mv7lSXYppZxfSjk/yW7Nv7cm2WXQtpvVWucluXlgWyllrTTT2wzRtnWSu4Zqa5ZvXGVnAgAAAAAAIxi3ML7WelKtdf9a68G11oOTXNcsX55OSL9DkpRSDklyYbPbuUle0kxZk3TmhD+rWT4zyXFNQJ8kxyf5erP8zSTvK40k70hyWpvnBwAAAAAA/SaPdweGcXySbzfB+aw0D2KttS4opXwoybmllN4kVyV5Z9M2u5RycpKLmrZza60/bdpmllIuTHJJkr4kp9VarxvzswIAAAAAYEJabcL4WuvTByxfneRZw2x3fpL9h2k7K0tGyg9uOynJSY+7owAAAAAAsILGc854AAAAAACYEITxAAAAAADQMmE8AAAAAAC0TBgPAAAAAAAtE8YDAAAAAEDLJo93BwAAAACYAPp6k6vOSK74VjJ/VjJ122Sv1yZ7Hp1M6hnv3gG0ThgPAAAAQLv6epNzXp/88cdL1t1/e3LbxckNP0sO/0bSI6bqRr19i/KDmbPyvctuy53zHsnWG6+bV83YLoftMz09k8p4dw/GlCoHAAAAQLuuOmPpIH6gP/44+cOZyV5/P7Z9onW9fYvyju9ekXOvnb143R3zF+TyW+/Lr6+/O18+eq9M7jGLNhOHn3YAAAAA2nXFt0ZunzlKO2ukH8yctVQQP9C5187OD66YNcY9gvEljAcAAACgXfNHCV3n3z42/WBMfe+y20ZsP+vSkduh25imZqLxsBQAAABgrE3dtjNH/LDt08euL4yZO+c9MmL7HaO0Q7cRxk8kHpYyYXlYCgAAAONqr9d28ofh7P3asesLY2brjdfNHfMXDNu+zcbrjmFvYPyZpmYiWZ6HpdB1+h+W8oHv/yGX33rf4gelfOD7f8jbvzMzvX2LxruLAAAAdLs9j052Pnjotl1fkuxx1Fj2hjHyqhnbjdh+5L4jt0O3EcZPJB6WMiF5WAoAAADjblJP8uQXLbt+232SI043dW6XeuXe22bqulOGbDvkKVvlsL1NT8TEIoyfSDwsZULysBQAAABWC7f9fsny2lM7/973lySmT+1WF944J/MfWZgkWW+tJTdcdtlyg3zlNXubOpcJRxg/kUzddpR2dyO7kYelAAAAMO5qTW79bWd5o+nJU17eWX54bjL7D+PXL1pTa80Xf3nD4tffOGa/7Lr1RkmSv977cHoXmTaXiUcYP5HsNcrDUDwspSttPcrDUDwsBQAAgNbdd0vywJ2d5R0OTJ7wt0vabvr1+PSJVl14w5xcedu8JMnTd940++20aZ7xhM2SJAsWLsoVf503nt2DcSGMn0j2PDp54nOHbvOwlK7lYSkAAACMu/5R8UknjN/poCyenubm88alS7Sn1pov/mrJqPjjn7tLkuQZT9p88brf3jhnzPsF400YP5FM6kmectjQbYec4GEpXeqwfabnCdPWH7LNw1IAAAAYE0uF8c9I1ts02Xbvzuu//j557KHx6RetuOjGubn81vuSJPvttGkOaEbE77fjppnczBN/0U1zx61/MF6E8RPNX3+3ZHnv1y1ZvulXY98XxsQjC/sy58HHkiSTSucrSTZeb0q+fPReHpYCAABA+269qPPvepsnmz+ps7zzczr/9j22dFjPGq0zKv7Pi1+/+zk7JTO/lXz9BVn/K3vkf9b/1xzRc36uvu3ePPho7zj2FMaeMH6i6b/4rbtJ8ozjl6z/88/Gpz+07rsX37r4yeVvOmjnvGj3bZIk8x5emFke3goAAEDb5s9K7vtLZ3mHA5PSDApbat54U9V0i9/dPDeX/qUzKn7/HTbKAVf8Y/KjdyS3XZzcf3v+ZuF1OXHKKflizxdy6U13jXNvYWwJ4yeS++9M7r25s7zDM5LNnpBs1tyNvum8pPfR8esbrViwsC+nXnhLetKXo6ZckPfd9s58+tZX55y1Ppojes7Pb2+4e7y7CAAAQLcb+Cn9HZ6xZHn6vsmUZlpVD3HtGl/85ZK54v9tp2tS/vjjZbapNTm059I8cMl3xrJrMO6E8RNJ/6j4ZMnFb5e/6/y78KGl2+kKZ19+e+594OF8ecpJ+VTP17LWHZdm/QWzM2PSn3PilFOy62/emfT5SBgAAAAtWiqPOHDJ8uS1kp2e1Vm+54+dQYSs0X5/89xcfMu9SZK9t984T5z1wyG3W/zhiNt+MFZdg9WCMH4i+ctvlizvOCiMT5I//3xs+0OrFvYtytcuuCmv7Lkwh/ZcmjqovdZkzwcvzKKrzhiX/gEAADBB9M8Hv/bUZMunLN3WP298ktxsqpo13cBR8cc/b5eU+bNG3H7j3rsz50EzNTBxCOMnkv470WtPTbZ8amd5+wOStTfqLP/53E5CS1f40ZV35Pb7Hsmres5Pkgx+TGv/XegFl5w+pv0CAABgAnloTnLP9Z3l7Z+eTOpZut288V3jklvuze9unpsk2XO7jXPQkzZPpm474j531M3yu5vmjkX3YLUgjJ8oHrw7mdM8yXqHA5Zc/HqmLLnw3XdLMvfG8ekfq9SiRTX/7/zO93LrMvJFbdF9t41FlwAAAJiIlpov/sBl2zd/UrLR9M7yzeclixaNTb9Y5U761cBR8U9KKSXZ67Uj7nNh39Ny0Y1z2u4arDaE8RPFUPPF91tqqpqfjU1/aNXPr5udm+55KEmyYN2tRtz2zmw2Fl0CAABgIuqfoiZZNo9IOh/bfsLBneWH7knuvnZMusWqdfmt9+Y3Tai+x/SpOXiXaZ2GHZ6RZT+rv8TLey7KzBsNEmTiEMZPFH8ZEMbvOOji98TnZ3FhvEEYv6arteYr5920+PXa+75+xO3PWHBAevuMPAAAAKAF/YMDp6yXbL3H0NssNVXNr9vvE6vcF345xKj4JPn9V5L+p9htslPnUxDT90+m/U2SZOdJs/O2B7+c2+Y+NMY9hvEhjJ8o+i9+a22YbDXo4rfBtGTbvZvtfpssmD+2fWOV+t8b5uTqWZ3v4bN3mZbpzzl22QfkDPC0RX/MH26fN1bdAwAAYKJYMD+ZfXVnefq+yeS1ht5up4OzeJCgMH6NM/Ov9+XCGzqj4p+27dQ858lbdBoevDu54tud5fW3SN72++S91yZv/Hnyuv/Jw2t3Rs+/vOe3ufP8U8aj6zDmhPETwUNzk7uv6yxvv3/SM3nZbXY5pPPvol4PTFnDfeW8JfP+v/05T0xSkoULmjUl2WDrZJuwGSqKAAAgAElEQVS9s3DKhkmSV/RclHkXnTb2HQUAAKC73XZJUptPYg81RU2/9TdbMmr+1t8lCx9pv2+sMgPnin/XcweOij856W3yiAPelkxZZ8lOG0zL/YeenL7a2XbPaz6Z3GWKIrqfMH4i+Oso87MlyZNesGT5hp+32x9ac+lf7s0lt9ybJNl3x02y306bdh6Ac28zbc1TXpH84/XJm8/Lo6/85uKL3jP/fIKLHgAAAKvWUs+vG+LhrQM94Tmdf/seXXqeeVZrV942L+f/6Z4kyVO22SjP27UZFb9gfnLpf3SW1576/7N33/FRVenjxz93SgpJSIEQAoQaeofQUUBUbChKExV72VVX19V11/W3ruuuruu6ftVVsWFDRZBiV0QUpAlpgPTQQiChhPQ+5f7+ONNCZia9wfN+vXjlzj23nCEwd+5zz3keSLijyr4xQy/mXfNcAAL0CvSlt0B5UZP0W4jmIsH484FHvnhr1/EsTcxg5oJNjP/XGmYu2MTSxAxsMUMg1FHoM+17qV7eSr3mMSr+3inxamHrW+4NRt/tWgztfxGfhNwIQAAV2OWiJ4QQQgghhBCiITmD6gYzdEnwv61n3vhDMmO/tfA5Kj7pHSgvUMuj7oCgtlX21TSN/X3uYYNNpdbVzqTB1w+Drjd6v4VoLhKMPx84nkTr5jY8sE7j0eU7SE7PJTO/jOT0XB5dvoP7Pk7F7hwdX3waMlObscOiLnYez+cnj6fRk/tEQ+4R2P+d2iBmEHQdW2mfjEG/Zb1tEACGM2nw9R/koieEEEIIIYQQov4qSuB4ilruPBLMwf63jxujiryCpM9t4aw2O0sTM7jsxZ/5ce8pAGLDg5jazzEq3lIKm19Ty6YgGHuvz2ON7x3D7y33c1oPVyt2fALbPmrM7gvRrCQYf64rzXMVSzkZPoRvdmd73ey7XSfYZBzpXpG2qil6JxrQgrUHXcv3TYlXT6OT3sFVtXz0XeB8Qu0wPj6Ghyz3cUqPUCt2LIHURU3UYyGEEEIIIYQQrZUzIFtl5r3dcQ96PAnsFrVcXYoaAFOgO7XuyZ1QeLJxOi7qxWqzc//HqTy6fAd7TxS61mfll3H/x6lYbXYVTC9WQXqGz4fQaJ/HG9+rHdmE86DlPuzOIr5fPwKn9jTm2xCi2Ugw/lx39BecwdgfS/v43fT19DgwOiqb75dgfGty8HQR3+zMAqBndAjTBnZUT6JTPlAbBIXD4NlV9kvoHkm+MYIHLfdhc34cfPNHyR8vhBBCCCGEEMInz4BslZn3H6WogGx61fp11QbwnXnjAQ6tbbo3JGpsRcpxvtt1wmvbd7tOsDI5HTa+rFZoRhj/O7/H69A2iN4dQtlkH8Tr+ky10loKS2+BiuKG7LoQLYIE48916Rtci+sr/AfjDxXgfgqdtQ0KvX+4ipbn9bUHXdllfjupF0aDBjuXQ2muWjnsJggIqbJfmwATw7tGstk+kJet16mV1jJ10ZP88UIIIYQQQgghvKguILsi9bi7eKtmgLjRNQvgS974Fm9JUobf9uMbPoa8dPVi8CyI7FbtMSfEtwfg+fIZFHQcp1Zm74NF18LCS+GFgepnyiKw2+rVfyGamwTjz3XO4q2mIE6EDfK7aaeIYOhzmXtF2veN2DHRUI7llrAy9TgAnSOCmTG8s8r7vvVN90ajqlYtdxrfqx0A/7POICfGcdGT/PFCCCGEEEIIIXyoLiD795XbKDv8CwBphp7Mencnl724vvoAfnQ/CItVKw/+JPekLVBWXqmfVp2rCpe4X058qEbHdMYl7BhY2u1vEOJIa5OxRf0pOKZ+fnE/fHoL2Kx17L0QzU+C8eey8kLI2g5AacxwDudZ/G4+Z1Qc9LnUvUJS1bQKb/18CKtjSt89k3piNhrgWJLrd0/8JdCul8/9nU+g7Rh4N+b/QWiMapD88UIIIYQQQgghvPAfkIW+9gMEUQHAuvLeJKXncuC0/9nXSxMzVJ2zno5UNUUnJG94C9ShbZDPtosMqcTrjlHxfa+ADv1rdMwxPdthcKSLX30UGDLX98Z7vlRFXoVopSQYfy47ugV0NX3ng8wu5JX4DsZPGxDDzBFdIKontOutVh78CazlTdFTUUvOPHtXv7KB9zerC11ooEn9DqHyqPjRd/k91tAuEQSbjQCsPmqHmW+raYQAX/0BFkyUKWFCCCGEEEIIIVxiI4L9tk8w73Mt7wkYTFiQqdpjZjoD/J6pag7+WKf+icYTEmD02fZb0xfuFzUcFQ8QHmxmcJcIAFKP5mHL2Op/hxQZOChaLwnGn8s88sWvLVf54sf1bMdT1wwkoVskQSb3r/83kx15xgH6TFM/LcXuHG+ixfDMs7fjWL5rfVG5lYeXbseafwJ2f6ZWRnaH+Iv9Hi/AZGB0jygA9p4oJDt6DFz4qGq0W+DkrzIlTAghhBBCCCGEy9yEOL/t8zoecy3/9+Hf8OuT0xjZLdLvPp2cAf6ek90rJRjfouw4lsfmQ2e8to3S9jLKsF+96DYR4kbX6tgTHKlqKmx2LDn+0yCRf8x/uxAtmATjz2G5e9YCUK6bSLH3ZtrAGN69bRQ3j+vOst+O5+V5w13bfubIOQ64g/EA+yVvfEtTXaGcPd+8AjY1HZBRd4LB91Nrpwnx7VzLvxw6A207+d5YpoQJIYQQQgghxHlt5sguXDawo9e2ywdEE5vvSJsa3R9C1P1mdQH8OaMc7aHR0HGwWk7fBJayBumzqB+bXefxlTtxZMll7qg4ErpF0ik8iIRukbzcxaPg7gU1HxXv5EyhC5BtaO9nSyC8S62PL0RLIcH4c9SKX/YRmr0DgO16L2Yk9OLVG0YQZHYHZif37UBUSAAAX2zPpMJqVw1dx0FgW7W8/zspmNLC+CuUY8RGbNpi9cIUDMNurNExx/dyX+g2HjgD2z7yv4NMCRNCiFpxphebuWAT4/+1hpkLNrE0MQObXa6xQgghhGh9jAaNR6b1cb0OMhlI6BbJc7OG8MrUALTyAtXQbbxrG38B/Inx7d1pV8GdN95aChm/NHj/Re0t2nyEX4+r2fljekTx7HWDWfbb8Wx6bCrLZoQSe3q92rDjEOg1tdbHH9ktkgBHBofl+kX+Nx4xv9bHF6KlkGD8Oejt9YdY/sVKzJrK7W3pMo5nZw7GZKz86w4wGbh6qBoBnVti4ce9p1SD0ezO0ZZ7GM4caLK+i+r5K5RzsSGZ9vZs9WLwLGgTVaNjDohtS3iwGYDNB7Mh/7j/HWRKmBB1Z7OqB1oLL5V6DOcJz/Riyem5ZOaXkZyey6PLd3DfRylYbfbm7qIQQgghRK1tOuhOV/L3away7LfjmZMQhzFjs3sjj2C80aDxyg3DeW7WEBK6RRLhuAcF6NaujTt1LpyVN95jxLVoFicLynj+e5WCxmzUePrawWiax+9r44vu5YkPqUK8tRRkNjKqu0pl9HLOKCr6XOl9w/7TYei8Wh9fiJZCgvGtnOdIu3HP/MDYZ9bwz6/3MMbgrjg+Yeo1lT8kPcwa6X7yvCzZI8BaKVXNqgbvt6g7f4VybjF6pBWqpnCrJ4NBY1xPNXXwyJkSykNi/e8gU8KEqBubFZbdquovZGyRegznierSi61IreYBqBBCCCFEC7R232nX8oV9ot0NnrXnPILxACajgTkJcSz77Xi2Pn4x0WGBgPq+lF9qcW/YdRyYgtSy5I1vdk99tZuicnWv8ptJvYjvEOpuPHMQdq1Uy1G9YMA1dT6Pc9a+TTfw06B/wzWvQpcxYHAUANYMcOnTNUrHK0RLJcH4VuzskXZZBeWcKFC51MYY9qqNDCaIG+PzGAM7taVfxzAA1u47xZmictUQfwngCOCnSTC+JZnUO9rr+t7aMcYbd6sXcWMhdmitjuuZN35H9HT/G8uUMCHqZvtiVXfBG6nHcM7yl14MYGliNQWqhBBCCCFamDKLjc2OkfF9Y8KIDXcMGtN1lecdILKH33pkASYDN43pBkCpxVb5O5E5yB3IP7EDirMb/D2Imlm77xRf78gCoGtUG+6bEl95g00vg+6Y6TnhwXoFyj3zxm84lA/Db4I7v4fLnlUrdTskv1vn4wvREkgwvhXzNdIukAqGaY7UMp2GQ0CIz2NomubKy2a163y+LVM1hEZD5xFqOX0TlBU0aN9F3SUfzfW6fr5xtftFLUbFO43zyBu/uGKimvrlTd8rZEqYEHWVWk29BanHcE7yl14MILOadiGEEEKIlibpSC6lFpVmcVJfjwFj2fuhxJG+ptuEao9zw5iuBDhS6r6/+UjlejrOvPEAh9bWs8eiLsosNv76+U7X66euGahqETpTb745GZLfU41B4TB4dr3ON7hzOGFBahT8xoMeD2CGzoPAcLWc/B5UlNTrPEI0JwnGt2K+RtoNNxwgUHOkOqjBxe+a4Z1cudmWp3imqrlM/bRbZVpYC7E+7TTr9qupgLHhQYzsGkGn8CAujAtgXuAGtVFIB+h/da2P3Ss6hJi2aorghoO56LPeVVPC4sZCgMcUtH5XypQwIepK6jGcl/ylFwPoVE27EEIIIURLs27/KdfypBqmqPEmOiyQq4aqNKnHckv5Yc9Jd6PkjW92r/x4gIwcNXDkyiGxTO7boXLqzcxU98Zl+bDy7nql3jQaNMY6UugeOl1MVr5j0EpgqHuGfmku/Pppnc8hRHOTYHwr5muk3RjNnS+e7hOrPU6HsCAu7K1GRe/KLGDvCcco+N6XujdK+97LnqIp2ew6z3yz1/X6uVlDWH7vBDY9NpUPEg5htjn+PSTcBqaAWh9f0zRXfrZTheUcPFOupoTdsQruXufeMEmmhAlRZ+Gdq2mXegznomuG+p6eDTBnVFwT9UQIIYQQomE4B4kFm40kOIpuAu4UNVCjYDzAbeN7uJbf23jE3RAzUA02AzVAUNcRTefAqULe+PkgAGGBJp64aoBqaOTUmxN6uVPobjzgLhLMqDtxpVPe8ob8exCtlgTjWzFfI+2cxVttGPzmi/c006OQ63JnIdfYoRDaUS2nfQ92e907K+ptZepx9mSpByUX9onmAmfueF2HrW+pZc0II2+t8znGe1z0NnlOCWsfDz0mqeXjSZC1vc7nEOK8NryaegtSj+GclO2sx+LFtAExrnRxQgghhBCtQWZeKftPFgHqHjLQ5Jg5retwxDEyPqwTRHav0fEGdwknoZsK6G8+dMZ134umQS9HqprCTDi9r6HegqiGrus8vnInFpsKeD8yrS8xbR0FdRs59aZn3vhNBzziElE9oO/lavnULjiyvl7nEaK5SDC+FZubUHUkXQAWRhjSAMgP7w9BbWt0rIv7x9DWkZdrZWomVptdXfj6OEbHF5+uPP1INKnSChvPr1JfPAwa/OWKfu7GQ2vhjPqd03+63wI51Rlf6aJ3pnLjqDvcy0nv1PkcQpzXht0A7ft4bwuOhMFzmrY/otGdKijj7Q2HAVWkbGiXcILN7lRf14/u6koVJ4QQQgjRGvzsGBUPZ+WLz0tXQXNQo+K1mn/HuXVCd9fy+5uOuBs8U9UcklQ1TWV5ynG2HM4BVB73m8Z2czc2curN+A6hdAhTKXQ3HsxG9xwBP+Y37uUtb9TrPEI0FwnGt2IzR3YhIthcad0Q7SBBmgWAiP6Ta3ysILOR6Y5p9NlF5fyc5ri49p7m3ihtVb36K+runY2HOVFQBsDskXH06+jxkMU5Kh5g9N31Ok/niGC6t2sDqBEJlYrn9L3CPVNix6dS1FeIujAYIdD5/1dTI4bMjiLbpbmw+X/N1jXROF5ck0ZJhSpu9rsp8Xx+/0Q+uGO0q31ZitQJEEIIIUTrss4zGF8pX3ztU9Q4TRvYkdhwNfJ6ZepxcoorVEPPye6NpJZdk8gtruCZb1TGBYMGz1w7uPLgEXM19Y7qmXpTpdBVs/ZPFpRz8HSxu7HHhRDdXy3v/Rpyj9TrXEI0BwnGt2KFZRYKylTgPTTQRKfwIK6LOuJqN9QgX7ynyqlqHE86e04GoyP/+H4JxjeH04XlvPbTAUDl4/vDpX3clcvfmAT7vlYbhsXWOC2RP87R8fmlFvf0QACjGUbeopYtxbBjSb3PJcR5pyQHjier5e4T4eE9cPdPYHJM+fzpGcjc1nz9Ew3qwKlCliSqYusdwgK54wKVDzWhWyQ926uHMKt3nSTXebMphBBCCNHCWWx2NqSp1CHd27WhW7sQd2Ol4q0TanVcs9HgGn1dbrXzSeJR1RDWEToMVMtHNoDVd/o/0TD+/d1e18OQm8d1Z3CXcHfj4fWQe9j/ARog9WalWfueKXQ1Dcbc43ihVx6cKEQr0WzBeE3Txmua9qWmaT9pmrZJ07RpjvV9NU1bp2naVk3TlmuaFuqxzzhN07ZompaoadpbmqaZPNqu1jQtyfHn6bPOdbemacmapqVomnZf073LxvVzWjbOgcv3TunFpsemckNMhqNVg27janW84XER7uDA7pPkl1hUxWrnE+2sbfB8P1h4qQoE220N9E6EPy+t2U+xY1TlXRf2JCbE5K5cnuURtCvMUuvrUbkcKueN3+iZnw1gxC0qLz1A4kIpmCJEbR38EXD8v4m/WP2M7guXPKWW7VZYcTdYvBfoFq3Ls9/uc80w+sMlfWgToL62aJrGbEequQqbnc+3VTPVVwghhBCihdiWkUdhubrnrDQqHtwj49u0U99xa2ne6K4EmlSYatHmdCw2R926no76ZZYSeGGAxCQamNVmZ2liBjMXbGLkP1bzicdgkocv9UixmbUdFs9T9yy+9J8OQ+fVu0+eeeOrxCWGzIWgCLWcsgjKi+p9PiGaUnOOjDcCN+i6PgW4EviPY/1LwG26ro8GPgD+BqBpmhn4N3CFruujgJ3APY629sBDwERd1xOANpqmXeloGwBcDiQAI4HJmqYNapq32LjW7jvlWp7cpwPYLJCxVa2IGaTyD9eCpmmu0fEVNjtf7shUgd1i9xQ0irIgY4sKBH96S70Dv8K/A6eKWLxVXQjbhwZyz4U9G71y+bienkVcz8obH97ZXTDl9B44urle5xLivHPgB/dy70vcy6Pugp6O4lTZ++CHvzdtv0SD23LoDD/sOQlAn5hQZo2sPF135ojOrum+S5KOVc6FKYQQQgjRQq3b544PTO7bwd1QkAU5h9Ry13G1yhfvFBUSwIxhnQHIyi/j+10nVczBObMUoCRbYhINyGqzc//HqTy6fAfJ6bmc8Zix2Sk82F3r6MxB+HAmVBSq18NuhKtfgbix0LaL+nnNqzD7fZWas54qpdA9eFYK3YA27ln75fn1joEI0dSaLRiv6/p6Xdcd/4vJA0o1TRsMHNV1/ZBjm88BZ6Kxy4DvdF13RgcXALMcy/OAt3RdL3O8/jdwu2P5DuA/ugPwX+C2xnpfTcVu111FU2LaBtI/NkylNrA4cml1r92UMKdrh3d2XTOXpxxTgd+Tu7xv3ACBX+Hfs9/urTSqMiTQ1OiVy9uFBtKvYxgAWw/nUGG1V94g4Xb3cuLCep1LiPOK3e4Oxod1gg4D3G0GA8x4zT3CY8sCOCgFqlorXdd55tu9rtd/vrwfJmPlr1wd2gYx2TGabE9WAbsypQ6HEEIIIVo+Z774AJOBMT2j3A1HPfPF1y0eAZULub678bCKSWRs8b6xxCTqbUXKcb7bdcJr27ZjeaxIPa4etCya4R6o2fdKmP6ySkdzxyr4wy71c/hNDRKId3Kmqikos7IrM79y46g7QXN8v97yhszaF61Ks+eM1zTNADwPLATigX1nbZKjaVrk2W26rlcAzuqlZ7edAGK8tQFpjnXe+nK3M9XN6dOnvW3SYuzKLCC7SD2xnNQnGk3TIH2De4M6Xvw6RQS70pSkHs2jdOt7/neoZ+BX+PaLx6jK3h1CmZPgGFXZyJXLwT0lrNRiY/uxvMqNPadApMp7zO7Poahl/18RrUtr+hyutRM73F9g46dWHS3UthNc9YL79Wf3qqKuotX5+tcstmeoz86xPaOY4jlqzIMzVQ3A0qQMr9sI0dTO6c9hIYRo4Vr6Z3B2UTm/HldB0TE9olwp+IB6FW/11D+2LWMdQf6k9FyKf3nX/w4Sk6iXJdV8B/16y2748DrIc+Tw7zYBZi0Eo8nvfg1hnMfDnhvf3sLMBZtYmpihBixGdIV+V6nG7P1wSAYyidajWYPxmqZ1AD4CftZ1/U1Aw5VMtxLdR5vzdV3bKq/U9Td1XU/QdT0hOjra2yYtRqUUNc6b/CN1L5biyXMqvSWnmuBAAwR+RVV2u+6qXg7w2BUeoypNgf53rmflcqgmb7zBAAmOySV2C2z7sN7nE8KpNX0O19qB1e5lzxQ1ngbNhMGz1XJhJnz9SOP3SzSoCqud575zjwF47PL+6oG5F1P7d6B9qCqS/lnqccoskvdUNL9z+nNYCCFauJb+Gbw+zf2AwGe++IAw6Di4Xue5dXwP13KFxCQaVWZuic+2IMr5Q/YTcGq3WtFxMMxbDObgRu+X1WZnZUqm63VhmZXk9FweXb6D+z5KwWqzw5jfuHf45fVG75MQDaU5C7j2BN4F/uhIRwNwCOhz1qbtdF3PO7tN07QAwOptP03TYoGTPo7ZBzjQQG+j2ax1TA0zGjQm9m6vCpcc/UU1RveHkHZ+9vZv2sCOhASoqUVHLBH+N26AwK+o6ssdmew4pkYcjO/Vzj2qcs+XTVK5fHSPKFcu4yp54wGG3QRGx0OBpHdV+g0hhH8H1qifmhF6TPK93RX/gbYqVyY7l8Gvyxq/b6LBfLQlnaM56qZm+tBODI3zfR01Gw1cO1z9rgvKrKzyMUVYCCGEEKIl8MwXP6lPtMrXnrII3pziDthGxPnYu+YuGRBD5wgV8D1UITGJxlJmsVFh857exYSVV80vM1R3pF6M7AE3rYCg8Cbp24qU4/zoMQjV03e7Tqj0Od3GQ4zjwU/aKpXXXohWoDlHxj8J3K7ruusxpq7r24A+mqZ1A9A07TJgvaP5O2C6I2UNqJzwSx3LnwD3OAL0AA+i0t6AKgL7sOYA3A+80zhvqWnklVSQelSlLhjZLZK2QWaV/sBZSKOO+eKd2gSYuGJwLACLKvwEjKBBAr+isjKLrdKoyr9c4RhVmfYDfHob6H4C3w1UuTwsyMyQLuoim3o0l5KKs4rihLSDgTPUcl46HFxT73MKcU4rzXMX2I4bA8F+biqCI2HGAvfrr/9QfXoq0SIUlFl4eU0aAGajxqPT+la7j2eqmk+TZGSXEEIIIVomu13n5zQ1a7pTeBDx7YNg2a2qkGpminvDU7vrXVjVaNC4ZXw3AD6xTfa/scQk6uREfhlz3/ylUsFWJw07/za/yVRjqloRGgPzV0Ko99SLjaG69DlLEzNU2s+xHqPjt77ZyL0SomE0ZzB+PLBE07S1Hn/iUYH0DzVN24AqtPoUgKM46+PAd5qmbQSGAG862k6gCrpu1DRtM1Cq6/q3jrYUVEB/K7AZWKfr+u6mfKMNbX1aNs5C0pP7OqaGNVCKGqeZjlQ1y20Xsj3sQu8bxU9tkMCvqOz9TUc4nlcKwHXDOzOoczgcXg9LblRpYQDGP9ColcsBJvRSeeMtNp3EI17yVifc4V6WQq5C+HfoJ9AdKUjip1a/fc9JMPY+tVyWD5/9VmagtAIL1h4kt0R9Tt88rjtxUW2q3adPTBjDHKPnNx7MJiPH91RhIYQQQojm8uvxfHIcgdtJfaPRtn+iZm570wCFVecmdCXYbGS57UJ+1MZ43ygoAgbPqdd5zkdJR3K46n8bXDWOgox2ZhvXsizgSTYG3s/mwPuZaVQ1CfXAtmpEfFQPf4dscFmOmIgvx53pdQbNgjaOzBCpH0FZQSP3TIj6a/yKCz7ouu61iKrDBT72WQt4/RTWdX0p7pHyZ7e9DLxcyy62WGs9poZN7uN4MpnesMH40d2j6BIZzLHcUm7Iu4ek6bMI/vVjOLUHyh1VrIMiG7RStoDc4gpe+UllUQowGXh4Wl81mvbjuWAtUxuNvgcueUo9BW7EUQBjekbxiqMGyn0fJtM3ti1zE+KYObKLSmETNxpiBsHJnWpKWF5Gg0xJFOKcdOAH97KvfPFnm/qEmnVyei8cXgcvD1MpycI7w/D5MOwG+QxuQTLzSnlng0ojFhZk4v4p/r7mVDZ3VBzbMvLQdViWfIyHLjk7Y58QQgghRPNat/+sFDVbqimcmrIIht9U5/OFtzFz3YjOfLTlKHeV3s+ycdMZnv2Vuu8sz4eKIijLg5T3YfRddT7P+eajLek8+cUuLI70NAM7hrA06g1CDn1TZVtdM6Bdvxg6DmrqbhIbEUxmfpnP9uIKG2eKymkXGgQjb4P1z6tsEdsXw5h7mrCnQtResxZwFbVnt+uui2BM20D6xwRD8vsqGApgCoK071XAph4MBo3rRqjR8cUWjS+1i+COVfDHNIjsrjbauQyOJdfrPEIVJlmamMHMBZuY+O8fKSxT0/lun9CdziX74MNZYClWGw+fD5c9qwLxjdynDzalu14XVdiqFkvRNEi4XW2g2yH5vUbtkxCtlq6788WHdHDnNayOOQiuWYCqQ45KCVVwDDK2qOnA9Zz+KxrWC6v3U25VsxfumxJPZEhANXu4XTUkliCz+kq2LPkYdrv33J1CCCGEEM1lnUfduvHx7atPo9gAhVVvHd8dABtGnjw2QsUkHt4Nd/4ABrPa6Ie/S0rHGii32nhsxQ4eX7nTFYifPrQTKyekew3EA2i6HfKONGEv3eYm+B/oV1Bm5fKX1rPpQDaMukPV5QLY8obMKBYtngTjW5ldmQVkF5UDMKV3JNqy2+DLB9zBd2tZgwVpZo7o7FpeluK4kJoC4eIn3Rut+osKNIk6sdrs3P9xKo8u30Fyei7FFe6HKCUZv6IvutY9E2HwbJj+Ehga/7/tipTjrN5z0mubq1gKwJA5EBCqllM+AGvVfHNCnPdO7oLCLLUcf3Ht/g+f2gX4+NXwReUAACAASURBVIxtgOm/omHsySpgueM62Tki2HXjWFNhQWZXrZbjeaXeC2cLIYQQQjST/BKLu25dV0fduvDO/ndqgMKqvWPCuKC3Sp+6PSPP1Qc69IeJD6nlikL45hGJSzh4DvYb/681zFywibd+PsT1b/zC4q0qD7tBg79c0Y+Xrx9GwI6P/B8wpZoZEI1k5sguXDawo9e2NgEq8H6qsJwbF27hv78UYu9/tWrMOVh5VrIQLZAE41uZtR7VpG8I2tyoOdq6tQthdPcoALYeznHnsR0wQxUgBMj4BfZ8Ua/znM9WpBznu10nqqzvoWXxu+OPoJXmqBX9roIZrzdZSooaFUsBCAyDIXPVcvEp2PtVI/dMiFbowGr3cu+La7dvag2m/4pm969v97ru/x6+tA9B5tp/VnuO/qnuM1gIIYQQoiltOOCuWzfJWbdueDUpUxsoparnIIfb30t0BZiXtZmL3s6RFnDfN75jI+eRswf7ZeaXkZyey9Pf7CHVkR8+PNjM+7eP5u4Le6EVnYQTO/0ftAFmONSF0aDxyg3DeW7WEBK6RdIpPIiEbpE8N2sImx+byoxhnQD1DOZ/Px7gryc8sl1veb1Z+ixETTVbznhRN2s9poYNOPG5/43rmaMNYObIzmw9ogLCy1OO8fuL+6j0JNOegbcdRQhX/w36XKZGzYta+STxKEZsXGdcz1zjWmK1M5zR29JVO0WE5khNE38xzHoHjE3337W6YimZnu0Jt0OSo4Br0jsw6LpG7JkQrVCaY2SGZoCeU2q3bxNM/xW1Z7XZWZFynCVJGRw+XUSOo2hr/9gwZgyrZpSYD6N7RNG9XRuOnClh1a4T5JVUENGm5qluhBBCCCEay7r97kGBk/o4gvHDboDEtyFrW9Ud+k+HofMa5NwXxLenTYCRkgobuSUWcrG4gszpPe/jYRwj5L/5I/ScBEHhDXLe1sjXYD+njuFBLL17HF1DLLDmH/DLa2Ap8X/QBpjhUFcmo4E5CXHM8ZKy5v/mDmNi72j++tlOSi02PsqMYV5QLwZxEA6uYd7T71MR1bty3TshWggZGd+K5JVUVJoaZirM9L9DAwRprhjszmP72tqDjHvmB2Yu2MTSrBjsA2eqjXIPw9a36n2u803ikRx2H8/hFfPL/Mf8JgmG/XTWzjDEcNgViE/WBsLcD5v8QUdsRLD/9vAg94uOg9wzJY6sh9P7G7FnQrQyZQVqBhFA5wRoE1W7/Ztg+q+onbNHHDkD8QAhASbsdZwirWkasx03GhVWO19sr+YaL4QQQgjRBHTdXbeufWggA2LbqgaDEYxm94YhMRA3Fq55FWa/32Czuj/blklJhfeaeP87FMOhOMdgsKITKn/8eay62ZVdwwx03fcOvDRMFTytLhAPDTbDoaFpmsaskV348ncT6R/bFtB4t8I9C/mtij/yWNaDJH72Mvd/mKjq3gnRQkgwvhVZn3bW1LAmCNIEm41EOkbmVVjtZBWUuwp5/rVwJrrREST++Tkoyan3+c4HB08XcfcHScx+fTPT+ZnLjYk+09slh04Gs//AeGOorlhKoNlYucBgwh3u5aR3GqlXQrRCh9eB3VG/I76WKWqgyab/iprzN+IoKT3XXVPjbDarmrG28FJ4YaD6mbKoUsH1mSO64By0s1RS1QghhBCiBdh3spCTBapu3YV92mNwflk5sROOJarl7hfAH/erAqvDb2rQ9KrVBZifKrseQhyj9ZMWwtFfGuzcrc2xnBKM2JhtXMuygCfZGPg7lgU8yRzjj8wyrOXl7Dvh+8fBmQ43sC1MeRz6Xu79gA04w6GxxHcIZeW945nYM4JLjUmu9aFaOQmG/fzH/CZXp/2FlcnpzdhLISqTYHwrsnbfadfy5L7RMOxG/zs0QJBmRcpxsvLLvLZ9tB/2dXf0oSwf1j1X7/Ody7KLyvnrZzu59P9+5vvdqjjqXONaQGX+8eZa06Ym6l1l/oqlAGw6eIY/r9iBzRmQH3ANBDtG/G7/GCpq8IRdiPOBZ/Gg2uaLBzX9t/90721tO7X4L8fnohrX1PBks8KyW1WB9YwtUHBM/Tyr4HrH8CDX1O+dxwvYlZnf0N0XQgghhKiVdR5xCFeKGoDkd93LCbc32vmrS6G6v8AElz3rXvHlg2CtaLT+tESFZRZeWL2fnKKSKjPvEwz7ec78Ns8HvElHstUOxgAYdz88uB0mPQpzPlQzGuLGQtsujTLDoTEFmY2MK/qeacbkKgMddR0uNyZyasP7zdM5IbyQnPGthN3unhrWIcwxNazEz8j3BnqCWV3Q4ZmCK/igzedQcgYS34JRd0L7+HqftzXzzCWclVdKTNsgOrQNZOOBMxSVq4BLW4q4NXwbwy2Hwc9sqfa2074bG5GzWMqK1OMsTcwgM6+UThHBDI2L4MNf0im32lmadIwyi53/zhmK2RykRkBselk9mNm5XEbsCqHr7nzxbdpB7PDaH8NghFnvqYLcKYsgLwNKz4C1DAoy4eROiB3aoN0W/tWqpobT9sXVF1x31HiZkxDHT46b3k+TjjHw6vM376kQQgghmp8zDqFpcEFvRzC+vAi2L1HLIdHQ76pGO39sRDCZPgYIAnRoGwSDZsL2T+DAaji9Fza+BJP+2Gh9qiurpYLULxcQtucTIiynyDN3oLD/9Yy4+j6MptqH58osNj78JZ1XfzpAbomF2cb1rpn33gb86WhoQ+fBlMcgoqu7wWhS30XrWXOwOV1Q+C1Q9X07X0/JX0HayYfpHRPWxD0ToioJxrcSu7MKyC5SU8Mm941G0zRIXeTeIHoAlBeo1DQj5qtAfAM8wawu6HCgwABTH4NvHlGpGH74G1z/Ub3P21pZbXYe+CiJkH2f8pijIGtWaTuWZE6mwjaeqYZfmRe4iSlaMsby6p/Way2wWMolA2K4471EiitsfLE9k3KrjZfnDScw4TYVjAf49k+w9lmVSmn4fDW6txU8UReiQZ3eq0ZAA/SaCoY6TkY7+8vxr8tguSM11Jp/wE3L6t9XUWMd2gb5vSHs5K3mhuf12huPgutT+8cQFRJATnEFK1OP8+fL+xFkls9PIYQQQjS94nIriUdUSpMhXSKICnEUl9+5HCoK1fLwm8DUeEXn5ybEkZye67P9WG4JaaeK6H3lf+G1sSoP+s/PwcAZ0L53o/ULqg7Ei40I9lkw1GqpYMeL1zGqeL1rXUdLNux4gpSDqxny+xWYzFX/Hr0F8PP7Xk9616t5cc0hCvJzGGI4xHDjAe42fQ34nnlPzGC4dkGDvf+WJFbLAT+lmwZo6Wx/9UI+iZ3B6Kvuomdcp6brnBBnkWB8K7F2n7t6+eS+HaA4G/Z8pVa0i4d7N/n5xK276p5Cd4oIhpG3wdY3IXs/7P0KjmyA7hMbvC/11dBPob1ZkXiE6Wl/4XJzomudc2rY06Z3CNCs6gJR0/p+LXB0+die7Vh05xhueWcrhWVWVu06yd0fJPPGjUMJComG4tNgKVZ/nKkY0lap0b1G+cgR55FKKWoucS3W5ku7VwOvgw0vwslf1eif9E3QbXwjvAFxNqvNTpnFewExpzmjvNTcyPeRR94pzz0LLcBkYMawzryz8TD5pRZW7z7J9KFysyCEEEKIprf54BksNnXz6j1FjQYjbmnUPswc2YUf957yWbMnu6iCGa9u5IW5w5g25XGVE91WAV/+Hm79qlHiJOBjIF5WO5Z8Npmf9szmfzcmYDK6B+OkfP4ao4vXVxm1ruswong9hz64m54Tr4c2USoFbJsorKY27HhpVtUA/s4niN3xP94hiD6BxzBoNQswaKXnbp0/Lbwz5PrPLDDUcIihJ1+g9O1X2Bo+hc5Tf0NM/wmkfvV6o8aJhDib/MtqJZz54o0GjQnx7SFlAdgtqnHELY12ganuKfTE3u1VgPWSf8DiuWrlqsfhrp/qPgq0ETTkU+izP5gLyyxsOniGdftPoycv4l8m79PCAjSr+0W73jB0LgyaBav/6j19QQsuljKiaySL7xrL/IVbyC2xsG7/ad5f8Cz3FPu4+J2VhkGI80LaaseCBr0uAtSX9vs/Tq10M5GZX0Zyei4/7j3FKzcMr/Sl3SuDAab+FT6eo17/8He4/btGuw4IRdd1/t9nO9l7otDnNpcN7MjMEV5mNIW0c8+S8KaiEE7thQ79AJg7Ko53Nh4GVCFXCcYLIYQQojk4U9SARzA+M1X9AfUdN6pHo/bBVwrVK4bEsnrXSTYfOkNxhY17FiXzwJQpPBQ7FC1rO6RvgJeHg83SKDO2Vyal+xyI921aKje/9kcGGY7QqXAnvcp3M9aeCprvNCo9M1bC4pWV3zswArzGF7oa6pDSthln3je2qIl3wJe/8/qwQ9MgL6w3bQsPYEAnWKtgdMEqWLmK4pVBjMI9ALUmcSIh6kuC8a1AfomFlKMqID6yayThQSZIcRSfMJjVBaWRVPcU+p0Nh7mgdzQj+0yDHhfC4Z8haxv8+qkKNrcQqV8uYJSfp9Bbv3qd0dc+UGkffwH8LftXsTXhvySnHcN6bBv9OMxow2GmOap3+4qJZRNB+ztXQOcR7o0880HnH2vwVEONZVDncJbcM44b397C6cJyRuZ85b8kdPIHEowX54/yIji6WS13Gg4h7QFVFNvX5+l3u06wIvV4ldRQXvW+FLqOU+fI+AXSvoc+0xqq98KLl9ak8YmjOGtooIm7LujB+rRs1w3hnFFxzBzhZXZD0WmV39+f8gJ4fQKMvRcm/Ym+HcMY2iWc7cfy2XAgm+N5pXT2lv5GCCGEEKKR6LrO2v1qhn54sJmhXRx1bJKapnCrJ18pVG8e241/fbuXhRvUIIaXfzpCYfc7eYLfoQHkqvU1mbFd09mr5VYbqUfz2L/6LR73kp/dWTB0WvbcyiPW6zBuxrmLr/iCDQPGnpMgbjR0GQVnDsB3f/Z9wBY4876hGIbfiD3tewx7Kw901DTQ+00nYs77WPOOsee712mX9ikddfUwI4SqmSD8xYmEaAgSjG8F1h84jd3xGT6pbzSkb1QfsgD9r3IFeRqDt6fQHcODKLPY2Z1VQEGZlfkLt/DWzQlMuPRpeONCQIc1f1cjuwPaNFrfanKx1HWd04XlhOz8EPD9FHrg9qfZfehbygKjsbTpgC0kBvvJPUz0EcAfU7aR+PWX8DutEMw177NuMEOXkZVXtuJiKX1iwlh6zzhufOsXYsvO+N1Wz0xG2/B/MOR6aBsLNEC6DiFaqiPr1fRYgPiLXaurK4q9NDGjZsF4TYOpf4N3L1Ov1zwF8Ze0qBlJ55JPth7lxR/SADAbNd6cP5Lx8e158OI+/ncsL4SPZqn0Xb4EhavC13arqruxczlMe4bZI4ex/Vg+ug7Lk4/xwNTGzXkqhBBCCOHpcHYxGTmqhtzE3u3V7M2yAlW/CCAsFvpc1ow9VEH6v141gMGdw/nzih2UWewUZfyK5uUeXQc0HzO2/aWcWbN7FndcEM/WIzlsOniG5PRc7NYKvgj4Agy+Ywxnp44p080EaRaf7+WQHssK81WYy/MI0wuJ0Iq4wrDF7z6niaTjzZ+5V/S6SMWLWtnM+wZhMGKY/Z7XgY6aY6CjKaobA2/4FxbLU6xbvZzBWx4mSiuqcijn7zBs92KQYLxoBBKMbwV+2uu+iZ/cNxo2P+tuHHlro5/f21Noi83OI59u5/NtmZRU2LjtvUReu2EEFw+7EbZ9CAXH4ZdX4cLGqWDu72K5aOOVDO/RnoMncog6sZHJ1g1ca0jz+yQ6hDIGFG4CL9kHfF1c22lVN7ZrJgy6tcp6l3NwWliP9iEsuWccp19uT2d8B+Q1uxV+eNIRNLwY25B5/CGlA4H7P69Rjj0hWhUv+eLzSy3szsz3u1tmNUWzK+k2To2QT/seTu5UQdwhs+vSW+HHj3tP8vhnO12vn589lPHxNXgIbi2HT25Us8UAovtBwh3q9+Q5C2rwHFXgdc1TUJanrp+f3sLc7lP4yHQVg/R9TFj3JCfW50gOSyGEEEI0Ga8pan5dqmqDAYy4ucXUBJsxvDPxHUK5Z1Eyc0vWet3GeVuvb/ofWq+pENbRdXPvN+XMgVTu2nMnwwyHGGfYxwOGfQwLPOA3SA5QgRnzBQ+ixY2Gzgn8uupDRu14wmcalexh9/LItQ+g6zrFFTZyiio4+NpFDLTt8XmOXHMMHT1XGIytduZ9g6jhQEez2cykK67nxNbHgarBeKcelgOQtR1ihzZwR8X5rmV8cgqf7HbddRHsEBbIgHAr7P5CNUZ2h+4XNku/zEYDL8wZRpsAE4u3HqXCauc3Hybz6tV3Mc28QlUw/+kZ2LoQIrs2aX62xDNrOZLdkYeNSYRrJSrRWjWsugGTZq9VH2wYsMdfirnLcPXhHDsU9q+Grx7weYFtd8EdtTpHaxEX1YYVIZcxrHifz/fu+jvW7ZD2Pca073leNxJgdhdD9MyxtzL5LWaPbtz8g0I0Cl1354sPioDOI9mQls0fl22n1OL/c6ZTbVORXPRXFYwH+OlpGDgDjLWYriP82paRx30fpWJzTE97/Ir+XDOsc/U72m2w8h44vE69Do+D+SuhbScYc3fV7UfdAQOugdV/Uw+0AfORn/jatBaDR8VvyWEphBBCiKZSJRiv65D4jlqhGVQwvgUZ1DmcL383EevzOaD73k47vRde6EepoQ1ZpjgyDJ0JLynkUn8pZwxJNS6S6pQfOYjoqX91vR5x9X2kHFzNCI80uKDOlxJyASOn3+t4rREaaCI00ETiwHngJ4BfOMDLSPdWPPO+qeWZO6jv1z4EUaGyP/S7Cib9CWKHNGHvxLlMhp22cLuzCsguKgfUBVDbsQRs6jUjbmnWlARGg8Yz1w7irgtUwNRq17nv86PkB8SoDXQ7FGWp3Gxf3A+f3gI276PGrTY7SxMzmLlgE+P/tYaZCzaxNDHDFQABKCq3snr3Sf762U5SvlrA5Y6LpSddh1HG/cw2/awC8c59DW1d7WdvD5A45ElOPXiU9Plb2HfVCnZe8BqZWozf97/f3A/zTUtg8p+h7+XQthOGETdh7zfd62h6vd90DI2Y37+5fWqZyLe2UV7f+7e2UYwpf5W/WW5hp727qy1As3E25xee/J8XeD+Rzaqe8i+8FF4YqH6mLFLBLyFagjMHIC8dAGuPKTz51V5uWriFrPyq+QjPNiwuonbnih0Cg2aq5dzDkPJBbXsrfDiSXczt7yVSalGfLbdP6MGdF9TgAaGuw7d/gl2OAlzBUXDTChWI9yekPcx4FW5fBTGDACoF4j0PP6J4PSlfvV6r9yOEEEIIUVNlFhu/HFKznvvHtiWmbRAcS4RTu9QGvae1yFnfUSEB5Jiia7RtsL2EnhX7mFT2I5ca1CC/GqWc0YzQaQR6zymA7xjD2QPxjCYTQ36/gq1D/8Ee8wBO0J495gFsHfoPhj70mddZjyOuvo+UkAu89sszgC/qprD/9YDv36HL3q/gjQscs153SExC1JuMjG/h1u475Vqe3CcaNjgLt5pg2I3N1Cs3TdP4yxX9CQ00838/7Odaw3rCiw+rfGwe29U1P9tnKTMY17sDG9KySTmai9Vmo5t2koXmLxznP7s/HucMi0UbeC0MvJbgjsNIefE6n0+hR1/jmPIfGQ70AyAxP5tOtX0KXYM8ZeeqmMhQ7i94gOvs65ljXEsn7QyZejuW2iaz3HYh4W0COdZ1Ps9abySmJI1HzzxOjJZX5TjOv+s7i96g/N+fEdBpEFrMQBWcat8Xfv437PvGvUMNivEI0aQ8UtQ8f6gr7+Ufcb2+emgnisutrNl7ysuO8NGWo1wxJJYRXSNrfr4pj8Ouz0C3wbrn1BTURqzXcT44XVjOze9sJadY5f2/ckgs/+/K/mi+qmd5+vk/kPiWWja3gRuXQXQ1ueU9dR0Ld6/j5NMDiLGfrNIsOSyFEEII0di2Hs6hzDGj05WiplLh1tuaoVc1s1y/iMfZ4/M+/lvbKEoIpJeWSS8tizCt+jSRFZgJmPyI+p7WOQECQ9HsNuxLb/FZMNTbQDyTOUAVBHV8h+tYZYvKXAH8r14nbPdiIi2nyDV3oHDAPEZOv1fSFtaTv9kK39oS+No2lkeCPqe73VH3a+9X6k9YRyg84d5BYhKiluRfSAu3dp+aGmY0aExqcwhO71UNfS+HMP8jt5uKpmk8eHFvQgKNDFv9pFp39jaOn/p3f0bL2AJRPV1/vjho8JlyZuOxDXxxdDyXa0d52JhOf9PRGl0s87RwIh7a7Zo5YIRaX8RqOo2sivN0WtjchDiS03P51DaZT22Tq7Q/dkV/j7oDYzj91JNQTWagwNKTcPAkHFxTfQd8POwRojF5K0L8iu1LYh3ty/P7AhDRxsw/ZwziqiGd1D4eRbFjw4MIMBvZfPAMpRYbt7+XyKf3jKN3TFjNOtGul5omnPwuFJ2ArW/CxN83zhs+R3n+Ho/nllBQZqWkQo1sGdMjiv/OHoqhJkWlk95R6YJAPTSfu6hq0e6aMJrQqxlZE2nx/kBHCCGEEKKunN+Jnv9+n2udruvYinMx7lqhVoTHQfzFzdTD6m2Lupxvs7ZyuTGx0npnIP61dv+PN28bQ1iQmTYmAxSfJP/NKwkvOujzmPmRg4ie/OfKK5toIF5tA/ii5nw97MjsOYtn04eQnlfB1yVjmReSwhNhXxCUd0Dt6BmI9yQxCVFDEoxvwfJLLKQczQVgZNdIQnd6pB8YcWvzdMqPOy/oSe66PPBTv1QrL6ySRuE6ACNen1xPMO5mgnF3rftiiehZJYWPPIVuXDNHduHHvaf4blfVC9NlAzsyc0TlaYxaeGfIPV1lW6ccPZRcPYwe2oma5+dLWSQXPtFkrDY793+cWunf/Jn8AiIDt4IGO+3dOU0EU/pG8++ZQ+jQNgjwXhTbbtd54JNUvtqRRV6JhfkLt7Lst+PoElnDEe6THoXti8FaBhv+TxX3Dq5lypvzlLffo1NooIkFN44gyFyDm6ndX8DXD7tfz1hQrxvV6nJY5po7yM2YEEIIIRqMr+9Eb/x8iF4HFzHH6ki5OPKWFj3je/ao7ty/3PeM7Wcn9iI23KNOU9tYwqb8Hr78Xe1rv52nA/HOJd7iRP2BIYXl3Pl+ItuP5fNxcQJfWEaxZOIJBm59TN1z+SIxCVEDEk1swdYfOI0zZfolvYJgiyP/bHhX6DWl+Trmx0mtPZH4Hq1n1zWfgVV/KWcAMAZAh/7QcQh2SxmGnZ82eqFUeQpdc0aDxis3DK804rdTRDBzRsUxc0QXjGeNKo2aeIffLzw54//K40eGsv1wFn20Y/QzHOUJ0yJCNd8XPj0/o8qsDCEay4qU41VuVsYZdhOkWQDYoA/lX9cN5vpRcdWmNzEYNF6YM4z8Ugvr07I5UVDGzQu3svQ342gfGlh9Z9p2gtF3w6aXoSxP/Zz6RJ3f2/nE2+/Rqajcyg97T1V6cAKoPJHbF0PqIsg/DoFhcCZN1UoBmPYvGDKnXv0q7H+914JdTklRV9G/XmcQQgghhHDz/Z1IZ8TplarioMEEw+c3dddqxTlI7NNdVWdsexskBmAYfiP2tO9rlXJGnNuiwwJZfPdYHli8jR/2nKSoQufqtR3ZERZOiL9gfP6xpuukaLUkGN+COVPUAFzFerA60rOMmN9in0Qv16fwOLt9Blj/bL2DjbbBdDOcpId2gj7m08zRvyPYEbzypkALo+0930F0XzCaATDYbditZXKxbGG8jfj1pbovPPGX3MUnmoHNB8/w39X7WZreiznGdSRo+30eM9vYgZqV6xGi/pYkZVRZN8mw3bV8OGIc/x7dtcbHCzAZeGP+SG58ewupR/M4lF3Mre9uZfFdYwkLMld/gIkPQfJ7UF4AvyyA0fe0mHRmLdnHW4/6bV+amFH5M81mhWW3qmmo3ox/EMbVv5iWr1RpTmszbBT8dID7psTX+1xCCCGEEN6+2wKM1vYSb8hUL/peofJlt2C1HSQGnNe134RvbQJMvDF/JE99uYv3N6djs+vsKQ0nwVC1rpNLCyxsLFoeCca3UHa7zrr9KhjfITSAjgc+UQ2aoUVPeakuP9v2qCt54/qRtA8NJCokgACTgeyXJhGcu83nMcsj4qHjoMor5WLZ+tXgd6gB4+PbM65XO35Oy+azDy8igf0+R4quqRjI9U39PsR5Kyuvav0KZzC+QG/DpvJetT5mmwAT7946ijlvbGb/ySJ2Hi/grg+SeO+20dWnSmkTBeMfgJ/+CZYSWP88XPGfWvfhfLHvRCEfbD7C9oyqhaQ9ZZ79e96+2HcgHqB97/p3Du+p0uzGADrZ1M3wC+YFXPV9Fyw2Ow9O7V2z4rJCCCGEED54+24LcKPJo35XCy7c6qk2g8RcJOWM8MJo0Hjy6oHERbXhn1/vYYltMgkG3zEJ24AZSDRKVEeC8S3U7qwCTheWA3BTXDba4V2qofc0lY6ghao2P9uk3gzqHF5pn+rSlUh+tnNYDX+HmqYxqU80fwm8iG/Lkqs87HG6uPhryPsTRNR8NLIQdRUbEUxmvnuKYlftJD0NamrvBvsgYiJD63TciDYBfHD7GGYu2MTxvFJ+OZTDzAWbCDQZOJFfRmxEMHMT4pg50svInrG/ha1vQPFpSHoXxt0Hkd3r+hZbJW9FdZ1/X7qu88Oek7y/KZ3Nh87U6HidIoIrr0hd5H+H1A/VDLYGcHaqNEDlpU98m3CthNfNL3LdD5FYbToPX9pHAvJCCCGEqLO2weZK320BoijgMsNWALKMscT2mNwMPROieWmaxp0X9KRTRDC/X6xzkS3VZ0wib8tHtBsxHwLrdi8ozg8SjG+hnKPiAWbYf3A3jLy16TtTC5KfTTSmjlFh3J9+9sOeKNpQzkDDUdqTCx/OhNtXqVHCQjSiuQlxJKfnul57pqhZax/KnFG1GIlzlo7hQXx4pwrI5xRXsCuzwNWWmV9GcnouP+49xSs3DMdk+mbwFAAAIABJREFU9ChWHRgKF/4Rvn0U7BZ4ayqYgiC8s8rvOeyGc3rmkLfCY86/r7fWH6Ko3ErWWTeZYUEmCst8Vx6v9Hs8cxBO/Oq/E42dJ3LaM5C5DY4nMdCQztPmd3jkp3uw2Oz8+fJ+EpAXQgghRK1l5JRwLLfqyPhZxnUEaup70qne84g1GKpsI8T54orBsbz0Q1vuP1k5JnFKD6ezdoYOWj7t8n6FpfNh3hIwBTR3l0ULJcH4FmrtPlUENdxQSlzmt2plWCeIv7gZe1U9yc8mGpMz+PmprfLDniDKWRzwNMMNByB7Pyy+Hm7+HMzBvg8mRD31iA6p9HqyRzDeEH+x14ePtTp++xDmj+3GS2vSvLZ/t+sEK1KPV51+O+wm+OFvYCmFkmy1ruAYZGyBtFUw6z01K+Uc5K8Ya9qpokqvE7pFcvP47lzSP4aHlmzzup/rIfLJ3bD+v7BrhbtIqy+NnSfSFAhzPoA3LoSSbGYZfybF3ps3ftaosNl54qoBEpAXQgghRI3lFldwy7tbKSqvPDhBw848448AWDEx6Mr618QRorUrLLNgw1glJtGJbJYHPkmslgMHf4TPfgPXvQ3yAEt4cW7ejbdy+SUWUo6qHLb3tt+GVlCsGkbMbxUBFMnPJhqLc+bF2UGzMgJ5MuxvfBb4JFrOQRV0XH6nCljJwxzRCGx2nSe/2OV63bedmfHFuwHIC+vN07dM8/7wsZY2HMj2216luCiogLHFe85P9nypHnw212etzapyrqcugvzjNRqx7y/tjOffsdVm591Nh/2eXtNg9sgu3Dyue6WUaa9cP5jULzcQtucTIiynyDN3oLD/9YxIiMa45EbY93XN32MDpajxK7wzzHoHFs0A3c6TpvfYbe/Guxthb1Yh5VZb9SmNhBBCCHHeK7PYuOuDJA6dVjGH4V0jmDWyCytTjtMp5xd6WFShSsPAazCERTdnV4VoEc5OVeqUSXvmV/yZlUH/IEwvhJ3LIThK1fCSgTLiLC0/snsecQYcFqw7iM2uA3BZ+SpHqyaBanHeO3vmRUZOCdlFFdh0nT15Zo7d8RFxy6+G4lOw9yuVquOK5+XiJxrcx1vS2ZVZgBEbf4pN5S7TN2jFqs5HREw3wA4NULrHVyEtpyrFRaH6nOYpi5rnemKzwrJbKxc/rWbEvtVm54GPkgjZ9ymPGdcSq50hK6sdSz6bzHe/XsfsUd3ZcTyf1KO57DiWT0mFzW8XYkIDeW7W0Cr9Mq24nVEe/epoyYYdT8COsw4Q2QMmPAgHVsNeLwH6/tNh6Lzq/y4aQs9JMPUJ+OFJAjQbCwJe5MryZ9h8yL2J35RGDjV92CHEuUL+zQshhGK36zy0ZBtJjrSLPdqHsPCWUUSFBHDjmG6w9HVQY00wjLq9GXsqRMtxdqpSTwf0LmwZ/zoXb70LLCWQ+BaEtIfJf27iXoqWToLxLYS3PLcDtcN0K98PgD1+KgYpSilElZkX72w4zFNf7abCZufJn4tYeOOn8N6VUFEEiW+rgscXPNzMvRbnkjNF5fxn1T6M2Hg14H9clru18gYHfoBPb2mQdDC+Rl442XSdMouNILNH4D//uP+Dnt6nRs43dRqn7Ythz5fogGe4Swc0HyP2VyalMz3tL1xudhdI6qydIcGwn28Pp3L//gewnfXQw4iN64zrmesM3uvtWOIoIt4lqo3PfvkV3V99jgy81jGTa77X1Go0dWq1Cb+HY0mw9ytitRxeNv+Pmy2PYady0P27XSf4cEs6N43pVikg7y/Hvr8AvhAtSW2C6/JvXggh3P759R6+3ak+D9uHBvD+baOJCjKo7zdJCyEzVW0YGgNxY5uxp0K0HL5m6wP0ig5hytRJ0GMRfHy9quG19l9qhPyYu5uht6Kl0nRdb+4+tEgJCQl6UlJSk51vaWIGjy6vPATvn6aF3GRaA8DGkS8yYfptTdYfIVoLi83OFS+td+WDfvfWUUwx/QofzwG7I+/hjAUqDcb54ZwZ1tfUn8M19eiy7SxNOsZs41r+Y37T94bXvFrvEejerg1n69k+hOdmDSGhu6No8cJL1Whzf4IjVd8S7oCoHnXqm9VSQeqXC6qmdrn6Powmj4cQZflwdAv6Fw+gFWX5PJ7NEMDptgPJMURxUo/iqDWcgLzDzDOuQdcrT3Bxvv6j5W4+tU3GaNDoHxtGeICBm479jcuNiVWO/60tgYpLn+OablY4cwByDqqfaavVyBVf2vWB+7a03HyPZfnw1kXqvQCvWq/mP9brfW7eJsBIWJCJ0EATFpvO0Rzf7/25WUNql3JOOMnncBPxFlx3umxgxyrB9eo+U+XfvBDnjHPic7gxP4PfXn+If369B4Bgs5FP7h7L0E6hVWcxOvWffk7XHRKiNqw2u2u2/tGcErKLyrHrYDJofH7/BAZ2CldpapbdAc6hSDPfhsGzmrvrTeWc+AxuTBKM96Gpbz5mLthUaapLG8rYEngfYVopp/QIfheziCX3Xthk/RGiNdmQls1NC1XwsUf7EFb9/kICdi2FlfeoDQwmGH03HE+ucZ7qVuycufC1xCBQytFcrnttEwBfBP+dIfo+3xvHjYU7VvlurwGbXee+j1K8BppMBo3/z959x0dVpX8c/5yZ9NAh9CJVeg3YQFFXxYKNYu+KrmDXddX96br21XUVu9i7IFZcURdEEV16kQ5KDzWQAukz5/fHnZBJMjMpMCmT7/v1yovM3HvuPUOS584895znFPhKmhkDVx3bkTtP60bC8g/hywnlPIOBrqfA4Guh43D4bXK56rkX5Oex7JnzGXhgdqkjLok/itYnXIPZMpe4lP9Rb98qDGUselpJB4jD03IAifUb4o5NxGakYDb/GjR5XykN2sLtK8rerzrtWkX2iycQj1Mqab23NfEmt9isgJKj5csjuUNjPvnzsYe7t3WB4nAVKSu53qFpAvHRbrLzPRzI9bD3gPNhORj9zotEjIiIw+GKwV8v286EDxdhLbgMTLo8mZN7tHBGxId6D3kYBpqIRKJ3f93I/33hfF7o1boBn48/jmi3C+ZNgv/c6exkXNC0K+QdiPR8BERIDA4n3dasIUrWBT7T/T/qG+e5KZ7j2ZKeXx3dEqkVhnZtxoheLZm+Ygcb9hzgzTkbuP6ECyEjBWY86IyQ/9+LRQ3KqFMtEojHa7n/i+UHH3eNy4BQJd3Ttx7yOUuuk5CSlk3rRvGMHdyO4zo34/4vljNj9S6shTfmbGDG6p08cd5pHN1jZOBRTZ1PgqTusOR9Z0Q1FtZ9B+u+w0YnYPxHiPv+TuzabzGj3wTrgYIcKMhh0ecvMOTA7IBJ7/7Zc2F6GSPzA8ix0XhxkWByy90mkRzY8Sv47lUUdqVk4j1kIt4VVTSLJpCGbcvdn2rTvAevNLiZWzOeBKCLKwUoKulzkmsx90ffSb8OTcnIKSAzp4DMnHy2pWXjssHL+qxISWdFSrozukekBvp4wZaQ2zelhpj1EkDAdTgkclRiEXGRSDN/415um7yEwjGZD53b20nEQ81dd0ikhrvkqA5MW7aduRv2siIlg1d+/J0JJ3WFIdfB/t3w0xNgvbDHN5BL+Yg6Tz/xGqJJYkyxusAXu2ce/P4jz4m0blTFtX1Fapn7zuzBD2t2kVvgZeKMdZw3oA3Nh94Gv/8AG38K3ChInWqRQD6ct5nl2zIAOLZzU+I8SZAdvOzK4Urillwnwd9rVyTz+ZJt/P3LlaRn57MpNYsLX5vP5UPuYETvZBqv+ZjG+bvYF92czB4XMejsG50SMif9nzN1cv4k2L4UoHgi3sdaMKu/goebFXt+iO/fspLe2TaGRd6uzPX2IN7k8OeoaUFHrT9qruXEC2+jTXwerUwa9fJ2s//Tm6mfFTzZ5jVRuNzRUFDOBFpUvLMAa9POzleTzk4cCDUKbOBl5Tt2NTvuiPqlF5zF+f893T2fpr3XMOT8W4ptG/PibK7e/mCxsj7+CfwJ+Tdz5sSfOa5LU64b1okTuiVhjCl/iSKRMCtrkWsDtGgQR0Ksm4QYNxv3ZLE/N/jNt0YJ0Ye5h1JjVGIRcSXvJdKs37Wfa99eQF6BM2Nx/ImdnYVaC5W17tBhGGgiEolcLsMTo/oy4tmfyMn3MnHGek7t1ZJuLeqH/kyofESdpU9MNcCO9By2pWUfXHTuSve39HJtAmCttw3bbBI3DVb9SpFQ2jVJ4PoTOjNxxjoO5Hl4fPpqnh7b3xnJG4pGeEg57D2Qx5PfOiMZolyGh//UAjOljA8sVZDENcZw3oC2HNelGf/3+XK+XbETgHfmpfAOXYG/OTvmAPNgxIGlTg3lmARy+15MepfR5G6aT9MvLiOhIC3A8SvXrwybwNd9JpLfoh+NG9Tj6MQYHp22nCNSd5aq524MfOMZzOpWZ/KP7r6RWTjXvMST/wJf3RS87MzIZ5z/Z6/HmfL5ztlFi40F0qofnHhP8ef6X+wkYoLVR+13UcX/A6pB8t6vAz5f+P82eNkDsPk1qN8K6reE+q142vU77dzzA/7/nu6ez/ne2UzxDGfO+lTmrE/lyBb1ufqYtnT96WYGZxWVKGqZvweW3c+i37+n762fEhUdE86XKnJQscWrAxhUouxMWWVt1u3az/Tl2xnRu9Vh66PUEKEW6171lZNwH3RlUTCsTPJepIbxX+B6694s9mXlk+dxEvHnD2jDnaceWbxBg9bO73kwtWG2oEg1OaJZIned1p2Hpq0kz+Plrk+WMfWGY4ha8l7ohspH1El6B1HNUvfncunrc8nIyuH56ImlkhTdXNv4pOkr9Ov/WTX1UKT2+PMJnZm6cCvb0rL5dNE2LjmqA4MyUkI30ggPKYd/Tl9NerZTLmzcsa3oNGMcZKUGb1DFSdzm9eN4+dJBTFu2nb9OXcaBPE/A/aav2MGAh74n3+MlJ7+ojvucWDcJIRLvOTaamd4B5BJDTGw8Qwrmk0Tp5H2hbTFHcNHoMcWeu/y4zkyYejPne2cz1j2L1iaVFNuUyb6SKI8POaLUcVwDLsG77jtcq4snUIwB230krsKFmV1uiGvgLEhb0VHuLreTVFn2kfNmOH2r82Fz4GXOz7CWjH40GaFvDhkspG12vnwKb/MHm+HwSMJkTojawcqMeHbRiF27G7Htq/VcEB24RNHAA7OZN+1lhpx382F4RSKhrUzJYMu+0GVoxpYYzDJqUFtmrdpO4popAUsz5Xtc3PDeIu48tRvjT+yCqfRiE1LjlFV+Y9qtMO02iI6HqDjAQva+wPtqJKPUAqEWuG6aGMPD5/YuHeMaHwFb5wU/aC2ZLShSXa489gi+XpbCos1pLN2SxhtzNjBOM04kACXjq1FGTj6XvzGP9bv2M8Y9m9Pd8wvXWT7I4ny45beP9YZPpAzxMW7uO7MHN76/CIC/f7mCLxu0wWiEhxyCJVvSDtYlblk/mtsOPFP0QaVZN6cW4G9Tqz2Ja4xhZL/WTJr9B8u2pgfdLzOndImG7bYpbUzwmwurTCdaXjeZ7i3rkxATxfxPnyVp2f1BR6xn9ix9I2LUoLbMXL2LKSuGM8UzvNi2Eb1aMmpggL9FlxvXmLcCJspNoP/jyo5yd0c519jafJ1t2Cb0aLbYBlCvBWTugLzMch0yJj+Ns/K/5KwAlTuCJfDrr/wQlIyXMNuzP5fr3llAvif4aqyB4orbeng+ZiKu6KIYUVia6Zrmazlz+zV4cPPUd2tZt2s/T4zqW+boe6kFti7Apiwpx2pyFvKznK+yaCSj1HCfLtoWMBEPkHogj2m/bS9eAnHHb7Dyi+AHrEWzBUWqi9tl+OfofpwxcTZ5BV7+9d1aLm/bkjjlI6QEJeOrSXaeh2vems+KFKf+8JVxP4Gn9JLDBx/rDZ9IuZzeuyXHdGrKr3+k8tu2dOYPOZMhW0MsJqkRHhJC4aKthYtcvdPxO6JXfe48SEyCS6Y4o4iGjKu2Ppa0JzP0AqhRLkPyEY1pEBdNw3jn69slp5BcsDZocv2XBmcwvn3jg88PPHs8i37/3rlZ7McYWJQ4jEEjbyx13lCL0Y4a2Ba3K0iapCKJ8ggZ5V4pAy5zyicEM+Kxov/D3EwnKf/xpbB79WHtRuP8XYf1eCIl5RV4ufG9RWzz1Ysf3i2JEX1a8smCrWXHlaUflpppU6j7vll8dNSfuGRBF/I8Xr5YksKm1CxevXwQzevHhftlSTjsXAk/PAKrp5WZiM+NbkRsh8FOecP8LNi+DLz5IY693FkIPU4LXEvNVNYC15PnbylKxucdgClXgcf3HrLHObB/Z916HyVymHRpXo/bT+nG49+sJrfAyxtZQ7mRBcEbdD2l6jonNYaS8dUgt8DDuHcXMH+jM/WxXZN4urszIdRANU1dESkXYwwPnN2TMyf+jMdrGb/8SH7pdhbRa6eV3jmxGfS9oOo7KbXGx/O3HBxlfneL+XRbO8nZEBUHF33kJOJrmFaN4ostCF5S/3aN+GjcMcWem9J8HN98NS9oPffmw64s9rw7Koq+t37KvGkvU3/lh0WLxPa8iEEjbwy6iGeoxWgPm0gY5V4ZFZkVEFvf+TpmQuiyPmf8CzoNh/07nA/lmTtJ/f4pmnqDz6JIi2pGy0q/CJHQrLU88OVy5m3cC0DnpEQmXjyABnHRXDi4fdkHKKNUyeC90/jgug+5/t2FpB7IY8mWNM59fg6TrkimV2slXWsS/1rY29OyadUonguS2zFqUFvcaRth1uOw7GOcecZFgt10fi3+KsZf+veiDa+fGvoGZ95+mDgQTrwXBl6h+vFS45S1wHWK//b//AVS1znfdxoOY94ClytcXROJeNcO7cg3v21n6dZ0ntqVzBntT+aIXTMC77ziUzhmvFMmTeoMvWuoYgUeL7d8uITZ6/YA0KJBLO9fczTuT5IgM0QtKU1dESm37i0bcNnRHXjrl43szvLwWL2/cP85pzsjZdM2OzVAC7LhwB7430twnEoqSGn7DuTxz2+dUcPD3Cu4IfO5oo3nvQJtk6upZ6FdkNyOhZuC1LmldA1lgPOTO3DT6keZuWZKqXru+48cw/ODOpRqExUd49QG95UkUQK2mlVmVkBZCfzkq5x2zbocfPqP7fk0DVCiqFAH927Y9Ct0OKb0RpFD9O7/NvHhPGe0Z4O4KF67YjAN4gLUUQokJx12rgi9T8pikuNS+Hz8cVz79gLW7MwkJT2H0S/9yphBbVmxPaN04jfYrB4JmwKPl5vfX0DimincU1j7f3tT/vP5EL6fsY9Tcr/FbYtKsq31tuHpgtGc457D6e7ioxMLbzp/mHMs4/03lDXbCCBrD3x9O8x/DU57BDqfdPhepMghat4gLuTgjNaNfIm/ZZOhcIHJxCQ471Ul4kUOUZTbxT9H9+Os52aT73Fx1vZr+PHUs2i69mPnPXqDNpC9B1J/d96bfHsfnPV0dXdbqpCxNnitxbosOTnZLlgQYipJJXi91llReZEzyr1xQjSTrz+Grs3i4YUhsPf34I3PeaHujfITOQTpWfkMf+oH9mXl43YZvrllGN1a1Hc27vgNJp0EnjxwRcO1/4XW/au3w4dPxGQFwhGHy+I/0m7V9gyy8jx0MVuZlvAP4jz7nZ3+9CAMvbVK+1URHq9l/PuLAtYJHdGrJS9cMjBg8qjA4614CRmp/TwFFUrgewoKWPrvc0uVKCrOOGspnPwAxNYLX99rroj5g6mOOBzML+v3cNkb8/B4LS4Db189hGFdk8puaC0snwrf3uvM8CiTgf4Xc+C4u7n5613MWB289NKIXi15/uIBRLmVuKpKU+ZuoN6060rN5ippizeJfxeM4nPvULy4cOPhfHfgRcR7tG7E1zcPK2rs9cCUKwLfrOx2GjTqAAveAK/fOizdRsDJf4dtC5xZGOnbnPU8Blzm3PxUiY+qFBFx+FBi8KgXf2Hh5uCDM/45ui9jO+bBK8c7Mz0ALv0UupxcqfOJSGkTZ6zj6e/XAnBMp6a8f+1RuAo/V6Vvg5ePK1osfOw70POcaurpYRcRMTiclIwP4nB/+LDW8uBXK3nrl40A1I+N4oPrjqZP24bw37/Dz/8O3rjHSBjztt7AiVTQB3M3c+9nvwFwXJemvHfNUZjCoZy/vgjf3uN837QLXP8TxCRWU08Pq4i58FV1EqjA42XCB4uLJbGbkc5nMffTzrXbeWLg5TByYuAhwTWIEusSTgX5eSzyK1G00zTjy7xBHO1axSnuRUU7Nmrv/L10PrH6Ols9IuaPrKYk4zelHuCcF+aQluXU8L7/rJ5cPbRj2Q13r4Gv74CNoW4eBREVh3fIDYzffALfrd/P+e7ZXFA4Cts25WNfEvfx0f3DW3qrDghZcsbvmrX3QB6z1uxi2VfP83f7UtAZOpk2nn8WXMDX0afQuWUTurWoz4HcAj5fkhK0D25juGF4Jyac2JX4GN9nrrJuVu5eC9/9zZlhdJChZGkcwPk8N/otlbOpOhERhysbg79Yso1bPloSdPuIXi154cLeuN84Fbb79jvuVjjlwcp2VUQCyPd4Oef5Oazc7qwV2b5JAgUeb9F1rt5vuD/2lZKMbQg3/FQjy6BWQkTE4HBSMj6IQ/3wUfJNpdfCjgxnmlhctIt3rj6KIR2bwLrv4f3RTqOYRBh6B6z7TouliBwGHq/l7Od/PrhQcqekRHLyPM7Fb1Abxqy5HfP7f52dB14BZ0+sxt4eNhFz4avqJNDk+Vu4Z+piv4TLHhqSRT3jxO4dzY6m5Z+ngbucJRFE6ghrLfd+tpwP521ipOtXHox5myb+C+H0vxRa9XVGJ9eNkaKKw4dRZk4+57/4C+t2OSM3xya35YlRfYturnsKYOmHxUci9xkL6Vvg1xf8FuE0MOgKyNwOa78tfaLuZ0H3M2HmI5BRtFZTpqnPVk8jerhKL4b4jWcwzza+l2m3DNfo+EryLzlT8mZHZrfR3HxKd2at3c2PK1PwbF3IUWYl10dNo4HJCnrMpXQl6dbZtGoYd/D3JNSsMX9tGsXz4Nm9+FPPFuV/EetnOCUGdq8KvV+wmc6BfocjO0ZWhYiIw5WJwVv2ZnHGs7PJzC3AGKd29eLNaaUHZ3z/N/j1eadRm2S4erre44qEwdIt+zj3hV8C3aZlRK+WvNhsCq65LzlPRM7fYkTE4HBSMj6IQ/nwEWh0ZSFj4LXLkzm5RwvftJShkO0sQsWo16HP6EPptoiUMPePVC549X8Bt405MoZ/7r4Bk+Ws4RAhU8Mi5sJX1UmgMS/O5urtDwac9p5p45iQ9DZvTxhRZf0RqU08XsutHy/hq6UpNCGDx+Lf5TQ7J3SjyB0pqjh8mHi9lnHvLuC/q5xSMYM6NOaD644iNspv5PInVwYuJeKvZV8469/OWh9ljXbOz4F5r8Lsp5w68z7BFv68K38c/409hZN7tGBEr5YM7dqMuGh3uUd7H4qqOEe4+xWq5Mwvnh7M9vblaNcqkl1rSDS55Tr/blcSSfevD9yvErPGRg1qS3aeh39/v5bM3KKSM3/q0YK/ndmdeRv2le//11MAzw+CfRuDdyyhKQy7A1oPdG5QxiSG/h2O3BhZFSIiDlc0Bhd4vIx55VcWb04D4PoTOnHP6T1K77j2W/hgrPN9ZI3GFalxJs/fwl+mLgu6/anzujN6ydVFs1SOvRlOfaiKehc2ERGDw0lX9jD4dNG2oKMurIXUA3ngyYdPri5KxA+6Uol4kTDYlBp85NSUNXmMHPYPjp9/o/PElzdDm0FaMLmO6rPna053zw+YcKlvcuiW9hOgZLxIIG6X4emx/cjKLWDGarg+ezwX1hvKo64XceVlBm606isnKao1ccQn1MzSVg3jePnSQUWJeHBGE4dKxEfFOx9ok68uGmHsjnJ+54L93kXHOQu7D7gUZv8L768v4MKWKodS+HisexZTsobzycKtfLJwKwkxbo7vlkTKvmyWbStK5qek57Bw0z5mrt4VsM58RRPrgQb/lHWOyp6novsHWlz148+H88OqMTx3STJRbhdpWXlsTM1iw8zX+UuQa++x7lUc6y492txSxqf8IO/jotwuxia3C1hW6Kx+rXj061UHS9n8d9VOZq7eiddv3FrI/193lJNYDyUr1Vm7AMC4IKkHxDWAzb8G3j9YjNRIegli4ox1BxPxfdo05I5Tjiy9U0YKfP7nosdnP6tEvEgYfbyg9Mw6fx8t2snoC96El4+HvEz4ZSJ0PB66nlJFPZTqoGR8GJT1xzZ5/hbG7nsNtvhG67boDSMer4KeidQ9Zf09TtzckeOPugHmvgw5afDZDXD5F/owU4cUeLy8OvsPziiYAa7S9WcLH59vfqj6zonUItFuFy9cMpCr3pzPr3+k8tH+flwe35KeBEnGgzM6Wcl4IfTMUpeBly4ZSFL92OIbFr8b+qDNeziLCVdGQhM47RFyFn5EQt6eoLt1i9pJy9hodmQ65XCy8jxMXx68FMr0FTt47JvVjOzXmobx0TSIiyIxxs2tHy+tUGI91OCf6St28OnibaWSzhVN4Jc3se7vswWbGLnuXk6PLhrp3sakkuxayzfrFnPyP/9CXO5u2uX9Tk+zieuipoMJfu0t5EnqhbvT8dBxGHbfFsy3dwedrdB02DUB/19CaV4/jmcuHMDYwe34v8+X8/vuA8US8f6C/f/SsE2xEkchWS/sWlH2fr+8AF1OgXrNnRcXaCR9xlbYMtepXa+R9HXW3D9Sef4HZ0ZIQoybZy/sT0xUiRtyXg98Os65MQTOgMBe51VtR0XqmO1p2SG3p6RlQ5NOMPIZmOq7fn12PdzwMzRoXQU9lOqgK3UYpOwLPhIXoEPqz7DzGedBTD1ncdbo+CromUjdU66L358ehA2znQ9FG2fDnGecacQS8VamZPCXqUtZvi2DX2J3h9y3vXtvFfVKpPaKi3Yz6YpkLnltLku3pNHQuzf0ENa00DdMpe4IlVz2Wli7az/92zf2e9LrLKAZyv5dh9xK0fFxAAAgAElEQVSv+OadYWvwZHxDbzq/1r+dHb3O43N7IlN+d/HHngO48QRd9PX1nzfw+s8bih3HjYcxgfZfcTzHPbGPxJgoCrwWj9eS7/Gy90BeyHPc/8Vy3vl1I7FRbmKjXMREudiTmcuqlH1Bz3PHFBfHdGpKXLTTZv4fu0Im1m9892FaNa7Hvqx89mXlsS8rjz47v+KxqMAj3U93z+eEnEtJMLkQU77//3TTgIZ3LcWd0OTgcy6vB++mn3GtLj4rwhiw3Ufi6n9x+Q4ewLGdm/HNLcdz4lOz2BbiPeTzM9fTpXk9uresT0KM7yP1gMtgy9xSI/cPPj71YWjUAVIWwbZFkLIEctNLHbuY3SvhX92cz4xNO4NxO+0D0WyjOis9K5/bPl5y8AbS38/uRaekeqV3nP2vogWtk3rAaY9VXSdF6qhWjeJJSc8Jvr1hnPNNn9Gw4UdY9I5zw+zTcRokGMGUjD/MPF5LfrBhFEArUnnA81zREyOfhWZdqqBnInVTWRe/JokxzpT0Ua/BpBOhIAd+eBQ6Doe2g6quo1Klcgs8PD9zPS/N+p0Cr6WX2UgT9odsk5B0RNV0TqSWqxcbxdtXDeaCV/7H9n1NaWNSg++ct99JmNZrXnUdlBqpXDNLC0cib10I0++GnH2hD3oYys6ZgZfB1hAJVsCkb6HVkon8mYnccMQwHjzQj2MKfuE0d1HStDCJfZJrMRPyb8ZD0YdrNx6ej55YrG56sf0zbmYnxT+Ml9km/2aWb8uoWJslN/OFr0wLwBj3LE6PDp5Yz1j/KOttG3qaTBqTSROTyTFuZ7R3sJHuCeWs+14or1FnZ5aCP5cb15i3Atb+N4W1/w9BTJSLstZV27w3i/Nf/AVjoGPTRHq0akD3FoNJjj2WY3J/KbavARYlDqPv4BuIio6Gnmc7G7xeePUE2BG8lvBBefth+9Ky95v3mhaJrWOstdzz2bKDn3fO6tuKMYN8sc//5576B2T5Bp5ExcOYNyEmoZp6LVJ3XJDcjoWbgr9f8VjIK/A6M1lGPAFb5jsLgm+cDT89CcP/WoW9laqiBVyDqMyCVbkFHm79aAnfBJmaGkUBH8U8TLLLN4pn0FXOVBQRCZuyFkyJj3bz6uWDGNY1CeZNgv/c6Wxo3BFumA2x9auop4dNxCyWEq6FAxdv3sdfPlnGul37ActF7pk8GP0OMTglBoImXM55QaPNRCpgV0YObzz/EH/Nez5oOQkAEpvD+a9C5xOrpZ9hoDhcQR6vZdBD35GWHbzmduuGcfwyvifMeNBJLpXH4YjbXg9MuSJwbfr2xzgjnVd9CfmlZ8YG+71/JeoS4nufRXZuDtnZOST8/g3j3F8G3f+DgpPYkNgXt7FEG3C7LB0yl3Ke68egbX709mNHVBvc3jzny+bT0Wynj2tj0Daptj65RBONh2gKqE8WbnN4PysW4Caq31ho2Qda9sG7YwWub/8atE/es5/HNfCyw9qH8hj10i8hkyfBFM5WGOueRWuTSoptymTfbIU7TuvBuOM7Ee1X2sez8B3cX90U/PUfeSau2HqQut75yiljJD1Aw3bQ/mjf17HQtAtMvbquLRIbEXG4PDH44/mbuXvqbwC0aRTPf24ZRsP46NCLA7fsC9f9EIk/d5Eax+O1jH9/UdDZfwDHd0vi5UsHOjOtdq2CV0+EgmzAQFJ3yM2sbTdRIyIGh5OS8UFU9MPHgdwCrn93IT+vd6axul0GT4kR8n+N+pAbonwXwxZ94NrvVZ5GJMzKc/FzuwwPjOzJ5Ud3gA8vgrXfOBsSmkFUnC581eRQk0AlF51r0SCOenFRzFm/B6+FeHJ4PPZNzjGzixolNocDAcoa9BjplBSr+T9/kRrllR/W0n7mjcVG4hbab+OoZwpnLhkYdjsMvzcSkgOKw+VkreX7lTt58ts1vhukgcWSxwPNfuDi3E8g/0DRhnZHgzu6qOyCv8MZtz0FAUdhUzgKOycDVn4Oi99zanfXYV7jwmW9QbfvbjyApFtm+TXw4J18RamSM+CUnDFjq+faW9ZgjouPak/D+GhWpmSwansGuzLLN+I/ymVo3ySBjs0S6ZSUyN7MbP604u6AMfIbz2D2n/0aYwYf4TxhLUw6KXiZmmCi4yE/RNnGyBxsEBFxuKwYvH7XfkY+9zPZ+R5cBj6+/hgGH+GbSbLoXfhyQvCDR+bPXaRGKvB4+XTxNibP30JKWjatG8VzVKcmvPe/zaRnOwPC+rdrxJtXDqZxYgwseBOm3Rr4YLXjJmpExOBwUjI+iIp8+Nh3II8r35rP0i3OyuVNEmN4/fJk1u3ef/CP7az437g37QGnQUw9GPejytOIVJFAF7/zB7Vh6ZZ0Pp5fNC3+sqM7cP/wJkQ/1x88AT5U6cJXpQ4lCRRqIUCAzmYbb9d7gbb5G50njAtOvBeOvQV+mxw84SIiFTLqpV9YsmlPwJGi33iG8Fyjjzgx579FDdod7ZQNa9Qu+EFrPsXhcpj7RypPTF/Nos1pB58rXQO9CSu9HTjRtZR2Lr91PRq2g1P+4Sw86PWETpRXtT3rsK+eiMkLsXBxDeU1blzNezg3OFzR5O9YQXTBgaD7pyceQcPRzzmDFxKaQkITvEs+xBVqpHegke5l3eyoBqEGc4zo1ZIXLhmI21X0Avfsz+XUp39kb1Z+hc8VajT9gPZNmHrjcUU7+xKsQWfxtR4IGSmwP/gglFLaHQ3XfFvhftdwERGHQ8Xg3AIP57/4CytSnHJUt5zcldtO6Va0w6STYNvC4AePzJ+7SK2ydmcml78+jx0ZzuCUzkmJvHPNUbT5fQp8dVPwhjX/ZlpExOBwUjI+iPJ++NiRnsNlr889OJqnVcM43r3mKLo0jSuqz7ZvE2TtAa9v6u2o153FGUSkWllreXPORh7+euXBBY/ubbWAcfueDt5IF74qcyhJoFAj2s52zeHJuDeI9fpGiSU2h9GvQ8fjK9tVEQni2MdmhFy3Iz7azcxTttNq9n1FI57jGsHZzznlGGpnfWPFYZ+SM5RaNYrn+K7NWLwljVlrii+afWr3Zly740GG5MwJfsDoBBh6Gxx7U82eXfr6qaFHyNdrBf0uAHcMuKOxC9/BZASvmW+bdMGceI9z49i4nL+BGQ/CnnXBz9GyH4x9G6JifeeJwb57PmZb6RHYB8/T7miMX3LOu/CdiifWa+hI98oINJhj7OB2jBrYtlgivlBZpW2S6sXSrWU9Nuw+EDIu+nMZOLlHC/q3a0T/do3o2SKBDS+PZeCB0rNBFiUOo++tnxEVFQX7NsLm/8HmX2HJ+0WfQwNJSIK71pUu9F+7RcSLKRmD/WPq6u0ZHMjzADCoQ2M+Hnc0UW4XFOQ6o2q/vQdCzFKhQVu4fUW4X4KIlGFbWjaXvT6XP3Y774NbNYxjZuNHid8R4v1Xzb+ZFhExOJxq9PDOmm7DngNc+tpctqU5CZ1OSYm8e81RtKkfHbw+W6MO0PPcqu2oiARkjOHqoR3plJTITR8sJjO3gIGp08AVotGcZ6HPWIiKqbJ+SsXsysxh4sx1pUZY7rCNybPRHONeBYWfTToMdRLx9VtWa59FIlVZi2hn53s45j/NubDTc/xf9pMk7lsFOWkwuUSCL2Ork9xc921tmKEkBJ6hlJKeUypZOeSIJtx9+pEMSv0aNs4pNeL3oLaDnbIzDduEtd+HxYDLQifjT/5bsRv7pn6rkKOdzbDbSg/kyU4LXYLiqHHQpGOxp8ygK2Db/ODnKZFYdw24BO+670ol1o1xEuuu/heXPm+YF1etSlFuF2OT2xUtHFyGshbpu2vEkQePlZVXwMY9WUz4YBF/7Ak++8Br4fuVO/l+5U7A+Tm5GMf57h6lR9KnHs/jS3c452jS0fnqfxHsXh369zFrN7x0HAy5DvqOhZjEcr1eqVqhZn3Wi4lyEu/LpsLMhyBtU9kHPAwLXIvIoWvTKJ5PbjiWq3zVNran55CWu4GQQw62L4E/ZkHHEyLtRmqdoZHxQZS6C52fx+KvXqL+qo9olL+LVHcSHxWcwPu5Q/HionebBrx91RCa1ouFBW/BtFuCH7zmj6wVqXPW78rkmrcX8MH+a2hjUkPvHN8Eeo+CfhdCm0FgTKkYkRbdnMweFzLw7PG4o0onjSq6fwXaRMzV2D8Ol/Xac/I9fL9yJ1MXbeWntbsx1sPz0RMD1mA9aOjtcOJ9SuqJhFFZdZf9xZLHU40+YWTOtIDbQy2mHMaYWpk2dTIOlzR5/hbumbq4RNmZpnzsK7/RomECj57bi+H1t2LWfQ+/Pgd5wZOStWAUWJFQi74GqmVf0f2rsk0NLCFTU1W0tA2UHSObJsaQeiCv3H1o2SCOe87ozpEt69OpWT1iolxlLhJbTFxDGHAZBQMuZ/HP02tKTK3M/hERh/1jcPCYegK7bGOeafYljTNWFzU2brCe4AdXTkKkRjmQW8AN7y1k9ro9fBLzd5Jda8tu1KI3HH2jc8M+KlY5iVpEyfggSn74WPbM+QGnA37jGcxnrW7jmWFeEnYuhC3znOmAoaaE1aYPEyJ1yL4DeWz71zB6e1eXvXOhpl3w9BrNqvkz6J1dOvHrTBn+lKjoopH0oWJKoP0r2CZiLnyFcTjUa58bdxyfd36YaSt2k5lTNAV7jPsHnoyeFPiDJjAt/hzOuvudcHZfRAidnDq1ZwtO79OK12b/cbDmLcB/Y+6gi2t70GPaBm0xZzwJLXpBo/YUFOSHM6ZWpk2disOFrz0917I8JYPl29JZkZLOD6u287R5JuBN0SXeTmTEt+d492+QVcYN8EK1raRCRZPYlUl6V1UbKbeKlrYpTwI/PTufpVvTWLI5jZd//J3cghCfM/1EuQwdmyWSGAXX734o4N/iPE832rRuTZudP+Lc8nQEm6FSTTG1MvtHRBz2z0mMeXE2V29/MPRAEwAM9BkDw++B/95fsZtvIlKt8gq83DllKbHLP+DJ6FfLdxMVILE5nkFXsWLBLPpmlZ4JpZxEzVNnkvHGmBbAW0ATIAO4wlqbEmx//wvf/E+fZfCy+8v/h1CW2vZhQqQOef5fDzAh85mgf++/eHvTO2oLDbzppdoGa7Okxx30P/0634JoUSz8ehKDlj8cdP95/R5iyHk3Fzt2WXHIr03EXPgK43BZr/0zz3Fst01pYfbSir20j06ntTcFF8Gvb7sbDyDpllnhfxEiUmZyylrLr7+n8ursP5i1ZjdzYm8qe4ZS4bGj65HpbkTjnK1BY8T8Pg8w+NybffW2DRhTkZh6kOJw8Nf+ENfxcc5RuPESjQc3Hs52z+G+6A8r8P7ZQIi4rcEsEqkqksAvqy59MKEWiW2YEMulR1pOyJhGn11fEJtf+j0uFP3tpiQNo3W/k531PeIbQVwjVvw6nV7rXw5XTK3M/hERh/1zEo88fC/3FbwQOgfR5U9w8gPQqq/zWDffRGodr9dy+Wu/cMmWBwLefPvGk0xqj8s5M/sLGm2ZiSnx3ilMMbWibSIiBodTXUrGvwc8Z62da4xJBm631gYodOjwv/CtfuQYuuevLN+JXFHOQkmRMs1WpI4Z+uh33Jf9zyAXvsGMz78FF16Ody3jfPfPnOJaSKzJP6x98FhDHtHFnoshH7cJHq9XRfekx32/QgRd+ArjcIVicDnZBm0xuikqUuOs2ZFJ9ssn0581YT1PWQMqFIcd4YzDADRoA11PgS6nQOZ2+M+dwfdVSQWRMsvajD+xM20bJ7BmRyZrdzpfe/aXv8xNLHlMj7mbjq6dh6O7B1UmppZsU4EYDBEShyuSk9jk7kCH/ytfWTgRqdnOf3EOSzenBr2J6vUtcneE2c5V7umMcf9EgskNeUxrwYML60vfR+EhwIStg/ReOLzqRKFcY0wjoKm1di6AtXaBMaahMaaRtTbNb79xwDiA9u3bH2zfKH9XyOPnEEPcyfdAu6Og9QBYPjX0gkolFkcSkZqjReN6TMi4mfO9gS98Ub764jM9A5npHUh9svgp9hYamxA34CrIbSzxlP+DE0DjMuJUbREoDpcVg4txx0D9VpC1F/Iyg59Hi1aJ1EhHtqzPI1F/on/BmqCjbl4pOJNdtjHdzWaOdG2hj9lQ4ZmKZe2vOHwIcbicsmKaknDbiqIfhtcDG34MXlKh30WHvQ8itc2oQW2ZuXpX0LI2t59yZKnR9Gc//zPLtgYe7V5SLjHEmIKyd6ygysTUiraJ5BgM0M69F0KM/2kWHToRJyK1x470HDy4meIZzhTP8KD7bbSteKDgKp4uGMNPsbfS0GQF3dcYiKJ8Zc6gbr8Xrgp1IhkPdATWl3juD9/ziwufsNa+CrwKzl3owufTopvTMn9P0INviO5Cj2G3Fz3R/2JY960+TIjUQhckt2Phpn1BL3wPn9eb0QPbsi8rjx0ZOezMyGHr5HY0DlFnfjeNWJ54NG7rwW0L6Jm9gMYETxRnkMDm2G7FnuuQu5b6BL+47otuTsuyX16NFygOlxWDt7jb0e7a950RlvFNwOVypuPqpqhIrbSkyel8s31eqRlKxvjW6ml8Lbee1oOM7ALm5eTDjAvoS/BFrtKox/q4PhjfWCCDpXPOChoQ/Caq4nDF4nCGaUCD3qc5M0RdbnBFY1f/B3Mg+Oja+BZdi98Vcblh9FsqqSASgttleP7iARWqS3/pUR34y9bgI6YfPrc3J3RLYvf+XFL357H3kyTaeIOXCltFB6Ym3USCN5NEbyaJ3v2cnD6VVgRvU5mYWrJNXY7BAAnNOsDW0jdhDm5POiLsfRORqtGqUTwp6TlBt7drHM/FR3UgO99DTr6H7DwPG5a0CzmzNJ1ENsZ2Pzhk/YjcVTSoQAyGuhOHq0JdScYHK0JZrho9mT0uhBB1kTJ7lkiu68OESK1V1oijUQPb4nIZmtaLpWm9WHq1bsj83heHjBEb+t3BiRWoz7a63z0Vrs9WKg5FkLJi8Pbe42jXql/xRropKlJrjRl8BBOmBp+h9PgJXRnRu9XB/efvvjRkjFjb7+4Kx1TF4eLKisOr+95V6v/LtBkEX04otRBk4WMT6KaoO8opRaNyNCJBRbldjE1ux9jkduXav6z3thcNaY/bZWjXJAGgzPe1mf2u5W/nXVfsOPM/bUurwxxTS7apyzEYfDFz69yKxVQRqZUKBwgGc9PJXUtdA+Z7LwkZu9f0+2uFYqreC4dXnagZb4xpArxnrT3D77mvgUv8y9T486/P5ikoYOm/zw26YnC/2z7HHVVX7muIRL6KLKQFFY8RlYkpFWgTMfXZCuNwpWOwFq0SqZU8Xsv49xcFTRy9cMnAYrE4zDG1Mm0Uh8EpOzPliuA3Rce8rVgsUkUq8t62BsbUyuwfEXHYPyehmCpSd1T0vTAoJ1Hb1IlkPIAx5hPgUWvtImNMX+BOa+3lwfYvduEDCvLzWDTtZeqv/JDG+bvYF92czJ4XMWjkjUrEi0iFY0RlYko520TMhc8/DisGi9QtFb0pGsaYWpk2isOFdFNUpFaqYTG1MvtHRBwumZNQTBWpOyr6XhiUk6hN6lIyvi3wOlAPSAeustYGLWRZ6sInIlI7RMyFT3FYRGopxWERkeoVEXFYMVhEaqmIiMHhVGeGE1prtwKnVXc/RERERERERERERKTucVV3B0REREREREREREREIp2S8SIiIiIiIiIiIiIiYaZkvIiIiIiIiIiIiIhImCkZLyIiIiIiIiIiIiISZkrGi4iIiIiIiIiIiIiEmZLxIiIiIiIiIiIiIiJhpmS8iIiIiIiIiIiIiEiYKRkvIiIiIiIiIiIiIhJmxlpb3X2okYwxu4FNQTY3A/ZU4HAV3b+q2kTKOSrTpi73qy6/9sq0qW3n2GOtHVHBY9VIIeKwflfCe47KtKnL/arLr70ybSLlHKHaKA4HVhN/jtX9u1Kd56hMm0g5R2Xa1OV+1cbXHhFxuBbmJGrj70p1tomUc1SmTaScozJt6kK/IiIGh5W1Vl8V/AIWhHP/qmoTKedQv2reOdSvmneOSPrS70rdfO01tV91+bXX1H7V1NceSV+R8nOsqb8rdblfdfm119R+RdJrj6SvmvhzjKTflUjpl1573XztNblf+nK+VKZGRERERERERERERCTMlIwXEREREREREREREQkzJeMr59Uw719VbSLlHJVpU5f7VZdfe2XaRMo5Iol+V2pem7rcr7r82ivTJlLOUdk2kSJSfo419XelLverLr/2yrSJlHNUpk1djsFQM3+OkfS7Ein90muveW3qer8ELeAqIiIiIiIiIiIiIhJ2GhkvIiIiIiIiIiIiIhJmSsaLiIiIiIiIiIiIiISZkvEiIiIiIiIiIiIiImGmZLyIiIiIiIiIiIiISJgpGS8iIiIiIiIiIiIiEmZKxouIiIiIiIiIiIiIhJmS8SIiIiIiIiIiIiIiYaZkvIiIiIiIiIiIiIhImCkZLyIiIiIiIiIiIiISZkrGi4iIiIiIiIiIyCEzxpjq7oNITaZkvNQpxphTjTHfGGO+N8a0D7FfV2NMlN/js4wx1/s9PtsYc63va5wxpo3v+eONMfcdhn5+ZIyZYYz5wffvA77nBxtjbi+x7+3GmFnGmJnGmCd8zx1hjHkpwHE7GGMS/R73NsY8dqj9FREpj0iMwUHad1EMFpGaqA7F4U7GmFcCPK84LCLVKlLjsDGmjzHmR2PMLGBsiOMqDkudF1X2LiK1nzHmXOB0IAtY5nv6NmNMPPCRtXZWiSZPAqP9Huf7vgpdA1zi+/524GRjzJVAIvDZYejyZYDHWus1xiQDFxhjLgI6+V5D4evqAAy01g73PX7IGHMSsBrwBDjuXTiv7UCQ1yUicthFagwGMMbc4OtLLrAJ+DNOjA00IkgxWESqRaTGYWNMa+BloJ7vqaestf/BeR9sAxxXcVhEqkUEx+GBwNO+57xAAnChMeZy4CVr7bQSx1UcljpPyXipE6y1nxtjZgJ/BfrhvEGfg/OGvVjS2hjTCBgEdDbG9AJuBhoD//bbzWOt3e/bPw/YCJwMHAccU/L8xhg3MCNI984qPJZff/0vRhOAvwOxOBesrn7bsoDWvg8iOUAP4Euci2DJPkQBQ4EvfXfNHwPigG+C9EtE5LCI1BhsjKkHHGetHeZ7fAXOh6bpAfqgGCwi1SZS4zDwEHC7tXa9MSYamG6MmQ4UBOiD4rCIVJtIjcPW2kXAcGNMP+BGYAewGXjXWptXog+KwyIoGS91yz+AuThv2qNwLmhXAq+X2O//cO5Y/x9wlbX2U2PMUIq/8S/5t9MWmIlzF3pyyRP7Lq7DK9JZX5LnKd/xvDijfuKBT/yOu9sY8zecO9EJwIfW2vnGmJYBDnkXcB3OXfNx1toTjDFtfc+JiIRbxMVgnFE8zX0xdz/OB6tvCTy6RzFYRKpbJMbheP8mFA1ICTZDVHFYRKpTxMVhY8wRwJ3AYmC8tbbAGHMi8KwxZp619k2/QyoOi6BkvNQt+4EmOG/ULeDGb90EX92yp4Ap1trlxpingfd9JQig+BoLi40xz+JckOoDXwEn4dyFPvZQOunrx01Af+BBa+0qY4wB/gQM8J2ncN+/AtHAFpzpuc2MMXcB3/vtE4VzF3uVL1F/D/C2r85bAVo7QkSqRsTFYGttrjHmIeBZnA8mn1prv/V9cCk8nmKwiNQUEReHgXuA5/3qDz/mK6lgCvurOCwiNUhExWFjTB+c98EFQBfgfN9+Ht9r7G6MscB7KA6LHGSsDVRKTyTyGGNigbuBcUAG8CbwdOGUMGNMRyDJWjvPr01zYDfOBa2HtXaS37YWwLU408cSgZ3Aj8BP1tp1Jc5doSlhxpiuOBelG4CeOFO3tuHcRV9trf2hxP5DcaZ7vYRzlzoBWGytnWCMSQL6Wmtn+O3fGGd6WXPgz9baQ17gRUQklEiOwX7tonFGJQHcba29QTFYRGqKuhCH/dq3wUkgXas4LCI1RaTFYV/iPRqnZI7HGNMJuMVae4vfcQzQDMVhkYM0Ml4inu+iY621ucA/jDHpwDZrrf8UV6y1G4ANxpjRwAZr7UJr7S7fMfKBvSUO/TnOhfRpnJIErXCmXWUAxS58lZgSth74yXf8f+DUg28J3I9zIfZ/fXfi3AWfZ61NB04xzqrs9/rOvRuY4UvYN7TWfm2t3edra3BquomIhEUkx2BjzFScWUk5vq80YANOqRq379yKwSJSrSI5Dvv6di2wyFe3+OApgTzfuRWHRaRaRWocts7o3jxjzNXAGzjvf90lzmt9+ysOi/goGS91wZnAX40xOTh3di3gNcZcg3OhiAGes9ZO9e3fEtjjfwBr7VycO8AlLbfWZvu+32KMmQu0Pgx9duF8gFhurS1cZXybMWY1TuLH33Br7VPAGr/ntuFcNP01wrkjfZC1dgvw3GHor4hIMBEbg621owI1NsY0pfR7LMVgEakuERuHfVoADUr0NwVnIUF/isMiUl0iPQ5fjJOM3+H7NxjFYRFUpkakFGPMBOBqIBXnQgnOBfI3a+0dfvsdA/wNZ1qWC6cu2nLgXt8d70Ptx0k4CfVonKROIs60snuttQV++/0A5OK7oPuejgJyrLXn+O13FvAksNXvdbmAPdbaSw61vyIih0Nti8FB2jYB/mGtneD3nGKwiNQKtS0OG2PuBUZTesToXmvtWL/9FIdFpFaohXF4MbAdJy9RWC8+GqcEzyy//RSHRVAyXqTWM8a4AKy13rL2FRERERGJJL7yD6asG6UiIhIexpgoxWCR8lMyXkREREREREREREQkzFzV3QERERERERERERERkUinZLyIiIiIiIiIiIiISJgpGS8iIiIiIiIiIiIiEmZR1d2BmmrEiBF2+vTp1d0NEZGKMtXdgcNFcVhEainFYRGR6hURcVgxWERqqYiIweGkkfFB7Nmzp7q7ICJSpykOi4hUL8VhEZHqoxgsIhKZqiwZb4y5xxhzg9/jI40xPxpj5hljppTzECAAACAASURBVBpj6vltO8YYM9cYM98YM8kYE+W37WxjzALf1yMlzjHOGLPQGLPIGDO+xLYHfG0WGWNGhfO1ioiIiIiIiIiIiIj4C3sy3hjTxhjzP+D2EpueBa6y1g4B3gEe8O0fDTwBnGGtHQwsB673bWsG3AYMtdYmAwnGmDN923oCpwPJwCBguDGmt2/b6UBTX5tjgRt9xxIRERERERERERERCbuwJ+OttdustUcDdxU+Z4zpA2y21v7h2+cLnCQ5wAhgurU21ff4JWC07/uLgEnW2hzf4yeAq33fXwM8aX2AfwFX+bZdCzzuO1cOMMl3LBERERERERERERGRsKuumvFdgDUlnttrjGlccpu1Ng+IDtTOWrsDaBHkmOt8zwG0sNamBNl2kK/MzQJjzILdu3dX+EWJiMihURwWEaleisMiItVHMVhEJPJVVzLeADbA8zbItsLHld0WSKlt1tpXrbXJ1trkpKSkEE1FRCQcFIdFRKqX4rCISPVRDBYRiXzVlYz/A+hW4rmm1tq0ktuMMTFAQaB2xphWwM4gx+wGrPd9v8cY0zLINhERERERERERERGRsKqWZLy1dgnQzRjTAcAYMwKY7ds8HRjpK1kDTk34yb7vPwKu9yXoAW4BXvd9/w5wh/EBJgBv+La9ja9mva/t5cCH4XhtIiIiIiIiIiIiIiIlRVXjuW8B3vMlzrfhW4jVWptjjLkPmG6MKQCWAjf5tu0wxrwEzPFtm26t/ca3bZExZjYwD/AAb1hrV/q2fWaMGWKMmYtTnuZRvwViRURERERERERERETCqsqS8dbat0o8/g0YFmTfWcBRQbZNpmikfMltE4GJQbbdU/7eioiIiIiIiIiIiIgcPtVVM15EREREREREREREpM5QMl5EREREREREREREJMyUjBcRERERERERERERCTMl40VEREREREREREREwkzJeBERERERERERERGRMFMyXkREREREREREREQkzJSMFxEREREREREREREJMyXjRURERERERERERETCTMl4EREREREREREREZEwUzJeRERERERERERERCTMlIwXEREREREREREREQkzJeNFRERERERERERERMJMyXgRERERERERERERkTBTMl5EREREREREREREJMyUjBcRERERERERERERCTMl40VEREREREREREREwkzJeBERERERERERERGRMFMyXkREREREREREREQkzJSMFxEREREREREREREJMyXjRURERERERERERETCTMl4EREREREREREREZEwUzJeRERERERERERERCTMlIwXEREREREREREREQkzJeNFRERERERERERERMJMyXgRERERERERERERkTBTMl5EREREREREREREJMyUjBcRERERERERERERCTMl40VEREREREREREREwkzJeBERERERERERERGRMFMyXkREREREREREREQkzJSMFxEREREREREREREJMyXjRURERERERERERETCTMl4EREREREREREREZEwUzJeRERERERERERERCTMlIwXEREREREREREREQkzJeNFRERERERERERERMJMyXgRERERERERERERkTBTMl5EREREREREREREJMyUjBcRERERERERERERCTMl40VEREREREREREREwkzJeBERERERERERERGRMFMyXkREREREREREREQkzJSMFxEREREREREREREJMyXjRURERERERERERETCTMl4EREREREREREREZEwUzJeRERERERERERERCTMlIwXEREREREREREREQkzJeNFRERERERERERERMJMyXgRERERERERERERkTBTMl5EREREREREREREJMyUjBcRERERERERERERCTMl40VEREREREREREREwqxak/HGmPbGmK+NMbOMMfOMMef5nj/GGDPXGDPfGDPJGBPl1+ZsY8wC39cjJY43zhiz0BizyBgzvsS2B3xtFhljRlXNKxQRERERERERERERqf6R8f8EHrHWDgdOB54wxkQDTwBnWGsHA8uB6wGMMc2A24Ch1tpkIMEYc6ZvW0/fMZKBQcBwY0xv37bTgaa+NscCN/qOJSIiIiIiIiIiIiISdtWdjHcDW33f7wf+AEYA0621qb7nXwJG+76/CJhkrc3xPX4CuNr3/TXAk9YH+BdwlW/btcDjAL62k3zHEhEREREREREREREJu+pOxv8F+Lcx5jbgE+B2oAuwpnAHa20eEO17WHLbDqBFoG3AOt9zAC2stSlBth3kK3OzwBizYPfu3YfyukREpBIUh0VEqpfisIhI9VEMFhGJfNWdjL8EmI4z+v1B4DEgAbAl9it8bCq5LZBS26y1r1prk621yUlJSWX3XkREDivFYRGR6qU4LCJSfRSDRUQiX7Ul440xPYBO1tpJ1toca+0C4CMgCujmt18MUOB7+EeJba2AnYG2+b5f7/t+jzGmZZBtIiIiIiIiIiIiIiJhVZ0j4zOAPsaY+gDGmFhgLDALGGmMaezb72pgsu/7j4DrfQl6gFuA133fvwPcYXyACcAbvm1vA3f5zhMDXA58GKbXJSIiIiIiIiIiIiJSTFR1ndhau80Y8ygw3RiTh3Nj4DVr7Y/GmPt8zxcAS4GbfG12GGNeAub4tk231n7j27bIGDMbmAd4gDestSt92z4zxgwxxszFKU/zqN8CsSIiIiIiIiIiIiIiYVVtyXhwkuTAZwGenwUcFaTNZIpGypfcNhGYGGTbPZXuqIiIiIiIiIiIiIjIIajuBVxFRERERERERERERCKekvEiIiIiIiIiIiIiImGmZLyIiIiIiIiIiIiISJgpGS8iIiIiIiIiIiIiEmZKxouIiIiIiIiIiIiIhJmS8SIiIiIiIiIiIiIiYaZkvIiIiIiIiIiIiIhImCkZLyIiIiIiIiIiIiISZkrGi4iIiIiIiIiIiIiEmZLxIiIiIiIiIiIiIiJhpmS8iIiIiIiIiIiIiEiYKRkvIiIiIiIiIiIiIhJmSsaLiIiIiIiIiIiIiISZkvEiIiIiIiIiIiIiImGmZLyIiIiIiIiIiIiISJgpGS8iIiIiIiIiIiIiEmZKxouIiIiIiIiIiIiIhJmS8SIiIiIiIiL/z96dx8lVlYn//5zesu8kZOlOQCSRLSELi4iIC8oioASCRBYVxWVQFIf54g8HVHQEGXciI4qKOCwBIusQBJGwCYQkJJKFPUmns5GQdNZOp6vP749bne6E3ruqqzp83q9Xv+rce26dcyoJTdVTz32OJElSlhmMlyRJkiRJkiQpywzGS5IkSZIkSZKUZQbjJUmSJEmSJEnKMoPxkiRJkiRJkiRlmcF4SZIkSZIkSZKyzGC8JEmSJEmSJElZZjBekiRJkiRJkqQsMxgvSZIkSZIkSVKWGYyXJEmSJEmSJCnLDMZLkiRJkiRJkpRlBuMlSZIkSZIkScoyg/GSJEmSJEmSJGWZwXhJkiRJkiRJkrLMYLwkSZIkSZIkSVlmMF6SJEmSJEmSpCwzGC9JkiRJkiRJUpYZjJckSZIkSZIkKcsMxkuSJEmSJEmSlGUG4yVJkiRJkiRJyjKD8ZIkSZIkSZIkZZnBeEmSJEmSJEmSssxgvCRJkiRJkiRJWWYwXpIkSZIkSZKkLDMYL0mSJEmSJElSlhmMlyRJkiRJkiQpywzGS5IkSZIkSZKUZQbjJUmSJEmSJEnKMoPxkiRJkiRJkiRlmcF4SZIkSZIkSZKyzGC8JEmSJEmSJElZZjBekiRJkiRJkqQsMxgvSZIkSZIkSVKWGYyXJEmSJEmSJCnLDMZLkiRJkiRJkpRlBuMlSZIkSZIkScqynAbjQwgFIYRrQghPhRBmhRD+X/r8+0MIz4UQZocQfhdCKGrwnNNCCC+kf360x3gXhRDmhBDmhhD+bY++q9LPmRtCmNw5r1CSJEmSJEmSpNxnxl8ObIgxHhtj/BAwPYRQDFwLnBxjPAJ4CfgyQAhhH+BbwLExxklAzxDCKem+g4GTgEnAROD4EMKh6b6TgEHp5xwDfC09liRJkiRJkiRJWZezYHwIoQQ4A/hJ3bkY45vAicDMGOP69OkbgDPT7XOA38UYq9LH1wJfSLcvBK6LacBPgc+n+74IXJOeowr4XXqsPdd0UV3W/VtvvZWZFypJajV/D0tSbvl7WJJyx9/BkrT3y2Vm/P7AAuDiEMJj6Z+PAe8FXq67KMZYDRSnD/fsWw3s21gf8Gr6HMC+McaVTfTtEmO8McY4KcY4afDgwR16cZKktvP3sCTllr+HJSl3/B0sSXu/XAbjewMnAKtjjB8BPgNcl15T3OPauuPQzr7GNNcnSZIkSZIkSVLG5DIY/zqwOMZ4J0CMcS3wNElQfXTdRelyNjXpwzf26BsGrGmsL91+Ld1eF0IY2kSfJEmSJEmSJElZlbNgfIxxI7A6hHAiQAihNzAB+C1waghhQPrSLwDT0+3bgS+nA/QAlwA3pdt/Br4d0oCLgT+k+24GLkvPUwKcD9yWrdcmSZIkSZIkSVJDRTme/xvAr0MIl6ePvxtj3BxCuAKYGUKoAeYDX4ekRnwI4Qbg6XTfzBjjQ+m+uSGEJ4HngRTwhxjjonTfX0MIR4YQniMpT/NfDTaIlSRJkiRJkiQpq3IajE9nx5/XyPnHgaOaeM506jPl9+z7FfCrJvq+0+6FSpIkSZIkSZLUAbmsGS9JkiRJkiRJ0ruCwXhJkiRJkiRJkrLMYLwkSZIkSZIkSVlmMF6SJEmSJEmSpCwzGC9JkiRJkiRJUpYZjJckSZIkSZIkKcsMxkuSJEmSJEmSlGUG4yVJkiRJkiRJyjKD8ZIkSZIkSZIkZZnBeEmSJEmSJEmSssxgvCRJkiRJkiRJWWYwXpIkSZIkSZKkLDMYL0mSJEmSJElSlhmMlyRJkiRJkiQpywzGS5IkSZIkSZKUZQbjJUmSJEmSJEnKMoPxkiRJkiRJkiRlWVGuFyBJkiRJkiRJUq6EEEK6WRhjrMnWPG3OjA8hnJmNhUiSJElSW9Skapk+u5zJNzzDMT/+O5NveIbps8tJ1cZcL02SJEmdJITwhxDCaU30HRZCOD6EcHSDc/eEELrvceklwKPALxtc91AIIaOVZVqdGR9C+AHwfeAbwF2ZXIQkSZIktUVNqpaLb53HzIWrd51bWVnFnGUbeGzJWq6fOp6iQqtySpIk7c1CCJ8FaoAvhRBWxxifT58PMcYIlAA99nhaEVDd8ESM8RfAL+qemz6dijHWZnK9bSlTMyLGmAoh7MjkAiRJkiSprWbMrdgtEN/QzIWrmTGvgimTyjp5VZIkScq2dLD8c8CpwJPAl4FewFXphPIZwJwQwnVAFUngvTCEcDlwR3qYmB5rCHADUAgcAcxOX//9bKy9VcH4dGmaB9OHO7OxEEmSJElqrTteKG+2f/rscoPxkiRJe6EYYwwhPAPcGmOsSxzfAlwWQugG9I8xrgE+EkI4FTgSWAb8b4xxewhhcjprnhjjWmAyQAhhETAlxlidPs742lsMxocQrgLejjH+On0qFUI4m6TefAlQEGP8Y8ZXJkmSJElNWLVxe7P9K1volyRJUtcUQvgiMBXYnq7isgOoJclu7wb0DSH8HOgDvBf4L2AccD1wIRBDCH8Hfh9jvC095nHAEmAK8Jf0VN1CCLOA/44x3p+JtTcbjA8hFAJ90y+moZ1AIEnZz9ruspIkSZLUmGH9e7CysqrJ/uH99ywNKkmSpL1BjPH3wO9bui6E8F1gUTob/jXgwHRXbYzxow2uGwpcRBKIvzGE8FqM8VmgOsZ4QibX3mwwPsaYAr4dQvhCCOHsGGNdTZ37YowG4SVJkiTlxNmTypizbEOT/SMH9ezE1UiSJKkzhRCKgatJMt6LSWrA1wD/iDH+JH3ZDcCfQwhfJ9nE9Yr0+cIG44wHrgQuijHWhBC+AUwLISwjSUbPqFbVjI8x/iGE8HvqC9yXYEa8JEmSpByZPLGURxat4ZHFaxrtnzG3ggkjB3Du0aM6eWWSJEnqBEcDg2OMJ9WdSG/s+kwI4S8xxpUxxvXAKY08tyCEENJ14xcAU2OM2wFijFuAC9LjZXzRrQrGpy0MIdSll5QA2zK+GkmSJElqhcKCwGWfGL0rGN+rpJCDhvVleP8e3Dd/JQDfveclYoyc9/79crhS5YVUDcy/DebdApUV0G8EjD8PDp8KBYUtP1+SJOWb54BTQggzqY9x1wB3xxhXtvDcYpL9UFPpyjBNbTa0o4nz7dbqYHyM8ecAIYRpNL1ASZIkSeoUFRvra8Zf+vExXHjs/gBMHDWAq+5bCMB/3ruQ2ggXHLNfLpaofJCqgbs+B4sb7Lu2aQWUPwevPgxn/gkK25KnJkmSci3GWA1c3s7ntqoOfIzx0+0ZvzkFbX1CjHFmjDHj3wpIkiRJUlssf7v+Zt2RA+trxF9wzH784PRDdh1fdd9C/vj0m526NuWR+bftHohvaPH9sOD2zl2PJEl612rx6/8Qwn/QeH34IuB64Kcxxq9memGSJEmS1JymgvEA579/P0II/Oc9LwHw/fsXURvZlT2vd5F5tzTfP/cWGH9u56xFkiS9q7XmXrzngGqgNn3cA/hv4JskQfr3ZGdpkiRJktS05oLxAOcdPYqCAFf8NQnIX/3AIuYt38CqyipWbdzOsP49OHtSGZMnllJYkPkNupQnKita6F/ROeuQJEnvei0G42OMs0II+wFVMcbVIYTLgPUxxqcAQgjV2V2iJEmSJL3T8vVJMH5wn270KGl8E87PHjWKghD4zox/AfDAglW7+lZWVjFn2QYeW7KW66eOp6iwzVU81RX0G5HUiG+yv7Tz1iJJkt7VWny3GUK4BPgB8L8hhI8BVcDFDS6JWVqbJEmSJDUqxrgrM76xrPiGzjlyJJMnjGiyf+bC1cyY10L2tLqu8ec13z9gVOesQ5Ikveu1JvXjtBjj+cC5wFeAUmB8CGFcut9t5yVJkiR1qnVbqtm+MwW0HIwHWLp+W7P902eXZ2RdykOHT4Veg5vuX3AHPPfbzluPJEnqkkK9dsfDWxOMryueuD3d7gEUp38kSZIkqdO1VC9+T6s2bm+2f2UL/erCalNQvTVpF/eEvqVQdjQcNqX+mof+A/75m9ysT5Ik5Y0Qwh9CCKc10X0J8CjwywbXPxRCaHWtw9ZE8Z8PIfwAeB/wB2BcjPF/QwiXhRCuAkaGEEKM0XI1kiRJkjrF8re37mq3Jhg/rH8PVlZWNdk/vH+PjKxLeahiDuxMf3kz8XNw4o/r+0YeDQ9emrQf/g7EFBzz9U5foiRJat5+lz9YBJwPXAiUAeXATcDNS685JZWJOUIInwVqgC+FEFbHGJ9v2B9j/AXwi/S1dQnsqRhjbWvnaDFqH2O8nCTif3WM8UGgMH3+uhjjqTHGQw3ES5IkSepMy9fXZ7KPHNRyMP7sSWXN9k85ovl+dWFvPlHf3v+43fuOuBBO/WX98d++C0/9onPWJUmSWiUdiL+DJPh+DEkw/pj08fR0f7uky858PoQwAxgCfBk4BzgrhDAzhHBRCGFICOHuEMI9IYSKEMI96fUc3Nb5WrXQGGODdy/8pK2TSJIkSVImtbVMzeSJpTy2ZC0zF65+R9+Jhwxl8oTSjK5PeWTpk8ljKIBRx7yzf+LnIBTCfV8HIjx6FdTWwHH/3pmrlCRJTTsfOKOJvjOA84A/tmfgGGMMITwD3Bpj3JE+vQW4LITQDegfY1wLTAYIISwCpsQYq9PHbZqvxWB8COFyoGGqfUG6Dk5NjPEnIYRfxBi/2aZZJUmSJKkDytPB+G5FBQzp063F6wsLAtdPHc+MeRX877PLmL+iEoBDhvdl2mcnUFjQtg9S6iJ2bofy55L2sMOhe7/Gr5twHhQUwj1fAyI8djVUzIVt66CyAvqNgPHnJZvBFhR22vIlSRKQlKZpqb9dwfgQwheBqcD2EMIOYAdJLLwQ6Ab0DSH8PMb4QAjhOGAJMAX4S3qIbiGEWcB/xxjvb2m+1mTGPwekSOrlpEg2cS1It6Ed6fiSJEmS1BHL0jXjRw7s2eqMpKLCAqZMKmPKpDI++JPHKH97O+u3VBuI35uVPw+p6qS9Z4maPR0+NcmQv+crEGvh5Qfr+zatSIL6rz4MZ/4JCtt9N7wkSWq7luoJjmzvwDHG3wO/b+m6EMJQ4CKSQPyNIYTXYozPAtUxxhNaO1+L7yBijP9o7WCSJEmSlG1VO1Os2ZTcRdyaEjWNGVvan/K3t7N6UxVrNlWxb9/umVyi8sVu9eI/2PL1486GZU/D3Jsb7198Pyy4Hcafm5n1SZKk1iin+YD88o4MHkIoBq4GxgHFQCRJTP9HujLMeOBK4KIYY00I4RvAtBDCMpLE9VZrcQPX9IImhRD+L4Rwfwjh8LZMIEmSJEmZtGJDfb34snYG4w8v7b+rPb98Y4fXpDxVVy++oAhGvr91z3lrSfP9c2/p2JokSVJb3dTB/pYcDQyOMZ4UY/xYOtP9ZODTIYThwAJgaozxLYAY45YY4wUxxlVtnahVwXjgh8BZwLnAj/foi22dVJIkSZLaq+HmraMGtTczvr52+IJ0/XjtZXZsgYo5SXvEJCjp1brnVVa00L+iY+uSJEltdTMwo4m+GcCfOzj+c8BbIYSZIYRHQwiPAg8Bd8cYV8YYUzHG7U08d0cT5xvV2kJ3xTHGrbArbb+uTk43oFcIoSDGWNvcAJIkSZKUCcvW1wfj21um5tAR/SgIUBth/goz4/dKy5+F2pqk3VK9+Ib6jUhqxDfZX9qxdUmSpDZZes0pqf0uf/Bs4DySzVpHkpSmuQn489JrTkk19/yWxBirgcvb+dxPt+X61gbjd4YQBpBk0qffzXAhMApY2JYJJUmSJKkjGmbGtzcY36tbEQcO6cPLazYzv3wjMcZWbwSrLuLNWfXt1tSLrzP+vGSz1qZMOK/9a5IkSe2y9JpTaoA/pn+6rNYG478F/I4kE/7/AcQYf5StRUmSJElSU8rf7njNeEhK1by8ZjObqmpYun4b++/TyjIm6hrqNm8t7AalR7b+eYdPhVcfTjZr3dNBp8K4czKzPkmS9K7TqprxMcbFMcYzY4ynxhjnZ3tRkiRJktSUujI1+/btRvfiwnaPM66sfhPXBZaq2bts3wCrFyTtkUdBcffWP7egEM78E5w+DYaNrz8/YiKcdXPSL0mS1A6t3cBVkiRJknIuxrirTE17S9TUGVdaH4yfX+4mrnuVZc9A3bZm+7WhXnydwiIYfy5c9A/oMzw5t3mNgXhJktQhBuMlSZIkdRlvbd7BjpokyNqREjUAY4b2oaQw+UjkJq57mTefrG+3ZfPWPYWQZNZDsqlrZTMbu0qSJLXAYLwkSZKkLqPh5q2jBnasxntJUQEHD+8LwMKVlexM1XZoPOWRunrxxb1gxISOjVV2VH27uY1dJUnSXi3Ua+0+rO9gMF6SJElSl1FXLx5g5KAeHR5vXGk/AKp21vLKms0dHk95YOs6WLswaY96PxQWd2y8hsH45QbjJUnaG4UQDgshHB9COLrBuXtCCA03nrkEeBT4ZYNrHgohtDrG3u4oviRJkiR1toaZ8R2tGQ8wtrQ/sAyABSsqOWR4vw6PqRxb2qBEzX4f7Ph4Qw+D4p6wcxuUP9vx8SRJUtt9r18RcD5wIVAGlAM3ATfzvcpUe4cNIYQYYwRKgD0zPYqA6rqDGOMvgF/UPS99OhVjbPXtlXmRGR9C+GAIoaLB8ZgQwqwQwvMhhLtDCL0b9L0/hPBcCGF2COF3DW8LCCGcFkJ4If3zoz3muCiEMCeEMDeE8G+d88okSZIkZVJ5g2B8R2vGA4wrq9/EdYF14/cOdSVqoGP14usUFsOIiUl79UuwY0vHx5QkSa2XBOLvIAm+H0MSjD8mfTw93d9eE0IIjwFXA18Gvh1CmBlC+Hy6P4YQhqRj1PeEECpCCPek13NwWyfLeTA+hNAP+DqwqsHpXwKfjzEeCfwZuCp9bTFwLXByjPEI4CWSPyRCCPsA3wKOjTFOAnqGEE5J9x0MnARMAiYCx4cQDu2ElydJkiQpg+oy43sUFzK4d7cOj/eefXrRp1vy+e3F8soOj6c8ULd5a7d+MGxcZsasK1UTU1AxJzNjSpKk1jofOKOJvjOA89o7cIxxTozxI8ANwL+Ae4FPxxj/mO6PMca1McbJMcZPAZXAlBjjlBjjwrbOl/NgPHAdcAVQA0l9HmB5jPENgBjjvSTfdACcCMyMMa5PH98AnJlunwP8LsZYlT6+FvhCun0hcF36Dy8CPwXqvt2QJEmS1EUsSwfjRw7sSf3dwe1XUBA4LF03/pU1m9le3e67nJUPNq2C9a8m7f0+AAWFmRl35NH1bTdxlSSps13Ywf5mhRDOAQ4H/osk+fv6dFcMIfw93U8I4ThgCTClwdO7pSu8nNqauXIajA8hTAXmxBhfbXD6vcDLe1z6dghhwJ59McZqoLix58UYVwP7NjHmq+lze67noroyN2+99Vb7XpQkqd38PSxJuZXvv4e3V6d4a/MOIDMlauokdeMhVRtZuNLs+C6tYb34TJSoqVN6BJD+8me5deOVHfn+O1iScqishf6RHRz/AGBRjHE78BpwYPp8bYzxozHG20IIQ4GLSALxH2mw0Wt1jPFDMcb7WzNRzoLxIYSRwEkxxt/u2QXERp4Sm+irO25vX/2JGG+MMU6KMU4aPHhwC69AkpRp/h6WpNzK99/D5Rvq68WPGpS5YPy40vpNW+evMBjfpb05q76dic1b6/ToD0MOStorZkNtq/dpk1ot338HS1IOlbfQv7yD498AfCGE8DjwIPCD9PlCgBDC+PQ134ox1gDfAL4aQhjGrm/rWyeXmfGfAkaHEB5Pv9CD04/LgNF7XDsoxrgReKNhXwihhHR5m0b6hgFrGutLt1/L2CuRJEmSlHXL19cH40dmMDPeTVz3InX14nsOgiFt+oMauQAAIABJREFU3lOteXV143dsgrcWZ3ZsSZLUnJs62N+sGOP6GOMpMcbjY4xHxRgfTXcVhKQu4gJgaozxrfT1W2KMF8QYVzU5aBNyFoyPMf4q/eKOjzEeT3IrwPExxjkkQfpRACGEE4G6ew1nAqemS9ZAUhN+erp9O/DldIAe4BLq/yL+TLITbkj/AV4M/CGbr0+SJElSZtXVi4fMBuOH9evOPunNYOeXG4zvsjYsg43LkvZ+H4SCDH/crQvGg6VqJEnqXDcDM5rom0ES+82GYqAgxphKl7BpzI62DJgPG7g25hLgLyGEp0g2Wv0BQHpz1iuAmSGEp4GxwI3pvtUktws8HUL4J7A9xvhQum8uSUD/eeCfwKwY46LOfUmSJEmSOqK8QTA+kzXjQwgcXpaUqlm6fhsbt1VnbGx1ot3qxWewRE2dkQ2C8W7iKklS5/leZQo4myQx+2mSsjVPp4+npPszLsZ4Qoyx2bFjjJ9uy5hFHVtS5sQYj27Q/hfQ6LunGOPjwFFN9E2nPlN+z75fAb/q8EIlSZIk5cTydDA+BCgd0COjY48t7c+ji9cCsGBFJceNtl5zl/PmE/Xt/T+U+fEH7A+9hsDWtWbGS5LU2b5XWQP8Mf3TZeVrZrwkSZIk7WbZ+q0ADO3bne7FhRkde2yDTVytG98FxVgfjO89FAa9N/NzhFCfHb9xGWxenfk5JEnSXs1gvCRJkqS8V1sbKd+QlOrMZImaOuNK6zdxfbG8MuPjK8vWvw6b03uo7X9cEjjPhjJL1UiSpPYzGC9JkiQp763dvIPqmlogs5u31hnQq2TXuGbGd0FvzqpvZ6NefJ2yo+vbyw3GS5KktjEYL0mSJCnvLW+weeuoLATjAcaVJdnxazfvYHVlVVbmUJbstnnrcdmbZ9g4KOqetMutGy9JktrGYLwkSZKkvFdXLx5g5KAsBeMb1I1/sdzs+C4jRngzHYzvPxIG7Je9uYpKYPiEpL1qPuzcnr25JEnSXsdgvCRJkqS8V94gMz4bNeMBxjaoG2+pmi5k7WLYti5p75fFrPg6ZUcmj7U1UDE3+/NJkqS9hsF4SZIkSXmvYZmabNSMBzh0RF8K0vt+zjcY33W8+UR9O5slauqMbFA33lI1kiSpDQzGS5IkScp7dcH4XiWFDOpVkpU5epYUMXrfPgAsWFFJbW3MyjzKsN3qxWdx89Y6ZUfVt93EVZIktYHBeEmSJEl5ry4YXzawJyGErM0zLl2qZnNVDUsb1KlXnqpN1QfjB70X+g7P/pw9B8I+o5P2iuehtjb7c0qSpL2CwXhJkiRJeW3rjhrWbakGsleips7YsvpNXC1V0wWsXgBVlUl7v07Iiq9Tlx2/fQOsf7Xz5pUkSV2awXhJkiRJea18Q329+FGDshuMH9dgE9f55ZVZnUsZ8GbDEjWdUC++zm6laqwbL0mSWsdgvCRJkqS8tnx99jdvrTNmaB9KipKPSWbGdwENN2/tzMz43TZxtW68JElqHYPxkiRJkvJaXb14SGrGZ1NxYQGHDO8LwKKVm9iZsh543krthOX/TNpDDobegztv7kHvhZ6DkraZ8ZIkqZUMxkuSJEnKaw2D8dnOjIf6UjU7amp5efXmrM+ndlo5D6q3JO3OLFEDEEJ9qZq3X4et6zp3fkmS1CUZjJckSZKU1+qC8SFA6YBOCMa7iWt+S9XA3Fvgrs/Xn6tNJT+dqezI+ralaiRJUisYjJckSZKU1+qC8cP79dhVzz2bxjbYxHWBm7jml1QN3PU5uO9iqFxRf3727+DOC5L+zlLWoG68pWokSVIrGIyXJEmSlLdStZEVb28HoGxgj06Zc/9BvejTvQgwMz7vzL8NFt/feN/i+2HB7Z23luHjobAkaZsZL0mSWsFgvCRJkqS8tWZTFdXpTVQ7o148QEFBYGxpUqrmlTWb2VbdidnWat68W5rvn9tCfyYVd4dhhyftlfOgZkfnzS1Jkrokg/GSJEmS8lbDzVtHDerVafPWbeJaG2Hhyk2dNq9aUFnRQv+K5vszbWR6E9dUNax8sXPnliRJXY7BeEmSJEl5a/n6+mB8WSdlxsPudePnl1uqJm/0G9FCf2nnrKNO2VH17XLrxkuSpOYZjJckSZKUtxpmxndWmRqAcWX9drXnr3AT17wx7pzm+yec1znrqNMwGL/cuvGSJKl5BuMlSZIk5a1cBeOH9u3OkD7dADPj80pNVdN9B53acrA+03oPgYHvSdrlz0GMnTu/JEnqUgzGS5IkScpbdcH4Pt2KGNCzuNPmDSHsKlWz/O1tbNha3WlzqwlVm+CJ65J2KEw2T+1bCmVHw+nT4KyboaCw89dVdnTyuG0dvP1G588vSZK6DIPxkiRJkvJWXTC+bGBPQgidOvfhu5WqMTs+5575FWxbn7SP/BJ8eRZcuhAufBjGn5ubQDxA2ZH17eXWjZckSU0zGC9JkiQpL22u2snb6Yz0zixRU6fhJq4LrBufW5tXwz+nJe2SPnDcZbldT0Mjj65vu4mrJElqhsF4SZIkSXmp/O3tu9qjBuUiGF+fGb/AzPjcevzHsDO9f8Cxl0CvfXK7nob2GQPd0/9Wyp/P7VokSVJeMxgvSZIkKS813Ly1LAeZ8f17lrBf+kuAF8sriW7OmRtvvQJzb0navYfC0V/L7Xr2VFAAZUcl7beWwLa3c7seSZKUtwzGS5IkScpLy9/euqudizI1UF+qZt2WHayqrMrJGt71/v59iKmk/eH/D0p65XY9jakLxgOsmJ27dUiSpLxmMF6SJElSXmqYGZ+rYPy4svq68fPLLVXT6ZY/C0seSNr7jIHDP5vb9TSlYTDeTVwlSVITDMZLkiRJykvL0zXjCwKMGNAjJ2sY16Bu/Hw3ce1cMcIjV9Yff+x7UFiUq9U0b8REKEivrfy53K5FkiTlLYPxkiRJkvJSeTozfnj/HhQX5uajy5h9+1AQkvYfnnqTyTc8w/TZ5aRqrR+fdUserA9sj3w/jDkpt+tpTklPGDo2aVfMgdTO3K5HkiTlpTxNK5AkSZL0bpaqjazYkATjc1WipiZVy2V3LaAu7l6dqmXOsg3MWbaBx5as5fqp4ynK0ZcEe71UTVIrvs4JP4AQ2j1cTaqWGXMruOOFclZt3M6w/j04e1IZkyeWUljQ/nF3M/JoWDkXaqpg1QIonZiZcSVJ0l7DYLwkSZKkvLOqcjs7U0kUPFfB+BlzK5i5cHWjfTMXrmbGvAqmTCrr5FW9S8y7Bda9krQPOhXKjmz3UDWpWi6+dd5uf5crK6sy/6XKiEn17Vs+DUPeB+PPg8OnQkFhx8eXJEldnmkckiRJkvLObpu3DspNMP6OF8qb7Z8+u/l+tVP1Vnj8x0k7FMJHr+rQcK35UqXDUjUw/7b64x2VSYmd+y6GOy9I+iVJ0ruewXhJkiRJeWf5+gbB+Bxlxq/auL3Z/pUt9Kud/vkb2LImaU+8APY5sEPD3T57ebP9GflSZf5t8Nojjfctvh8W3N7xOSRJUpdnMF6SJElS3tktMz5Hwfhh/Xs02z+8hX61w9Z18PQvk3ZxL/jQ5e0eanPVTv749JvMX1HZ7HUZ+VJl3i3N989toV+SJL0rWDNekiRJUt7Jh2D82ZPKmLNsQ5P9U46wXnzGzfoJVG9O2sdcDH32bfMQS9dt5eZ/LuXOF1awZUfL5WEy8qVKZQulbipXdHwOSZLU5RmMlyRJkpR3ytPB+L7di+jfsyQna5g8sZTHlqxttN54725FnDZueA5WtZepq7U+7xbYsKy+PE2vwXDM1xt9Sk2qlhlzK7jjhXJWbdzOsP49mDKxlGH9e3DzM0t57OW1xFh/fUGA2tjoUECGvlTpNwI2NRNwL+re8TkkSVKXZzBekiRJUt5Zlg7G52rzVoDCgsD1U8czY14F02eXU7FhG1urU2yqqmHLjhr+8uwyvvjB9+RsfV1eqgbu+lxSU31PvfeFondmrNekarn41nm7fUGysrKq0TsYBvYqYeqRIznnyJFc/cCiRr9UOfGQoUyeUNqhlwHA+POSDVub8vZrcOfn4JSfQc+BHZ9PkiR1SQbjJUmSJOWVyu072bhtJ5C7EjV1igoLmDKpjCmTkuzppeu28vFfPEF1TS0/f+QVPjl2OEP7mfXcLvNvazwQD7DmpWTT0/Hn7nZ6xtyKRoPqDR00rC+f/8B+nDZuON2LCwF2fanyp6ffZNGqpAzOmKF9mPbZCRQWhI6/lsOnwqsPN/16ABb+FZY9A6ddD6M/3vE5JUlSl+MGrpIkSZLySvlu9eJ75XAl77TfPr34yocOAGBrdYofPrgoxyvqwtqx6ents5c3+5Qx+/bm/75xLFMmle0KxEP9lyr/d8lxHDaiHwCvrtnMW5t3tH3djSkohDP/BKdPg7KjoW9p8nj6NDjvXuiXLoWzZQ3cehbcfwns2JKZuSVJUpdhMF6SJElSXinPg81bm/O14w+gbGBSQuWBBat46tV1OV5RF9XGTU8XrNjIvyoqm33K5qoaQmg+0/2sSUlZmtoId8/N4MaqhUVJJv+FD8OlC5PH8efCAcfDV5+Gwz9bf+2cP8H/fADefCr50uGmj8PPDkke594CtanMrUuSJOUNg/GSJEmS8sqybAXjUzUZCXx2Ly7kB6cduuv4yntfYkeNwdM269vCBrj9kqD5+i07uPzuBZw+7Wl2pprZiRUY3v+ddeb3dNq44ZQUJR+F73yhnBibHzMjuveDT/0GPnMr9NwnObdhKdx8Ctx3cVJvftOK5PG+i+HOC5J/r5Ikaa9iMF6SJElSXlmejWB83WahGQp8fvh9Q/j4wfsC8Ma6rfzuiTcys853i9paaCEInjr8XP749Jsc/9+Pc/vs8pYuB2DKEWUtXtO/Z8muv7ul67fxQiObv2bN+06Brz0L7/tk89ctvj+pmS9JkvYqBuMlSZIk5ZW6MjWFBYHh/TO0OWpzm4W2M/B55akH06Nug9B/vLZbeR01I0Z48FtQMbvJS9aVfYJPzirl+/cvYnNV8kXJvn278fMp4/hEOpC+pxMPGcrkCaWtWkLdhrwA02eXt2HxGdB7MJz9Fxj4nuava6RmviRJ6toMxkuSJEnKK3WZ8SP696CoMEMfWdqxWWhLSgf05OsffS8AVTtr+f79bubaohjh4SuSmunAjtCdaTWnMbt2NBVxELNrR3PZzos48tXzWLw2+XdQXBj4yocO4O/fPp5PTyhl2mcn8JMzxzJp1ACG9+vOpFED+MmZY5n22QkUFjRfL77OB967D8P6JV/0PPivVWzd0cklYUKAmurmr6nMYD17SZKUF4pyvQBJkiRJqlOTqqViw3Ygw/Xi27hZaGt98dj3cPecFbz+1lYeXbyGRxet4WNNZG4L+Md/wbPTAEgVlPD5qkt5pvbQJi//8JjBXHnqIey/T69d54oKC5gyqWy37Pa2KiwInDmxlF8/9hrbqlM8+K9VHRqvXfqNSMolNaWgMCnnU2AOnSRJewv/ry5JkiQpb6yqrKKmNikOXpbJYHy/ES30t668yZ5Kigq4+vT6YPL37l/I9mo3c23UUz+HJ36StAuKuKbvFc0G4t87uBd//PyRuwXiM+nMifV/53e9kIMs9PHnNd+/cRncfCpsWNY565EkSVlnMF6SJElS3mi4eeuoQRkMxrcU+JzQQn8zjnnvPpw2bjgAKzZsZ9o/Xmv3WHut526ER7+XtEMBTP49D2xrOhAPsC3LX2qMGtSLo/YfCMDzS9/mzXVbszrfOxw+FQ46tYnOdLmdZU/BDcfAnJtb3PBWkiTlP4PxkiRJkvJGw2B8RsvUHD4VRkxsur//qA4N/91TDqJ3t6QK6I1PvMEbb23p0HgtqUnVMn12OZNveIZjfvx3Jt/wDNNnl5OqzcOA7dxb4KHL6o9Pn8brQ06gsqr5Ou3D+/fI8sLgrAalae6a08kbuRYUwpl/gtOnQdnR0Lc0eTx9Gnz5Cdj3sOS66i1w/zfg1imwsTz587zp4/CzQ5LHubdArXdjSJLUFVgzXpIkSVLeWLY+S8H4gkLouU/9ca8h0L0/rH8lOX7oP5IAaGFxu4Yf0rc7l54wmh88sIjqVC1X3ruQWy48khBat6FoW9Skarn41nnMXLh617mVlVXMWbaBx5as5fqp4zO38W1bpWpg/m3JhrmVFVDcHda/vqu79uSfcsu2Y/jxr56kamdts0NNOSL7NdxPPmwoV937ElurU9w9p4JLTxjT6k1gM6KwCMafm/zs6UuPwaxr4amfQayFV/8GvxoPtTvrr9m0Asqfg1cfTgL7hX7ElyQpn5kZL0mSJCnn6jK975i9fNe5Ocs2ZC7Te+s6eP3vSXvfQ+GyV+Hi5+HAjyfn1i6C52/s0BTnv38UBw3rC8BTr63jIz+dlZWs9RlzK3YLxDc0c+Fqbn1+eaN9Wc+mT9XAXZ+D+y5OAsSbVsD614Bk/E3HfpfzFxzGVfct3BWI79ej8S8/TjxkKJMntK+Of1v0LCnik2OTEkOrN1Xx5KtvZX3OVisqgY/+J1z4CAw6MDnXMBDf0OL7YcHtnbc2SZLULn5tLkmSJCmnGsv0BrjqvoX88/X1mcn0fuluqE2XRRn3meQxBDjpWnhjFqR2wD9+DIecAX2HtWuKosICvn/qwUy58VmAXTXIM5W1nqqNPP3aOq6ZuaTZ6668dyG/nfUGB+7bm9H79uHAIb05YHAvfvOP13l0ydpd12U8m37+bUlQuAnXPbWep6rWAVBUEPjWCaO58AP7cd+CVUyfXc7KjdsZ3r8HU44oY/KE0k7LUJ9yRCl3vJCUqLnzhRUcP2ZIp8zbaqWTkrs2fjUetjT+JQyQlKtpLMNekiTljZwF40MIxwDfAXoD3YDvxxgfDiGMAW4EegDlwAUxxi3p57wf+AVJRv+LwFdjjDXpvtOAK9PDPxxjvKLBXBcBXybZBeemGOO0TniJeakmVcuMuRXc8UI5qzZuZ1j/Hpw9qYzJEzvvza4kSZLUUEuZ3jPmVTBlUgdLlsy/LXkMBXDYWfXnB74Hjv1mUg6kejP87btw5k3tnmZpgzI7e2rqtbT0Hn3Ryk38dd4K7n1xJWs372jVOio2bqdi43Yef7nlTO+M/RnPu6XZ7tNq/84tfJADh/Tm52cfzqEj+gEwZVJZx+fugAkjB/Cewb14462tPLJoDRu2VjOgV0nO1tOokp5Q0MLH98oVnbMWSZLUbrnMjC8EpsYYN4cQBgCzgIeBXwKfjzG+EUI4HbgKuCyEUAxcC5wcY1wfQriEJMA+LYSwD/At4NgYY1UI4echhFNijA+GEA4GTgImpeedHkKYFWN8qXNfbna0Jbie17UllV171u7sNwLGn5dsZFZQmOvVSZKkd7m6rOSmTJ9d3rFg7VuvwMp5Sfs9x0Ofobv3H/ut5L3SxuXw0l0w8QLY/7h2TdXSa/nB/YtYsmozh47oyyHD+zFqYA++ecf8Rt+j3/TUmwC8vGZzm9bQr0cx/XoUU75hG7GVFWjueH55x/6M336DuPolmkvvGR7W88Vj9+ffPzGG7sX58x40hMBZE8u4duYSqlO13PtiBZ/7wP65XtY79RuRlP5psj/7ZX0kSVLH5CwYH2N8ssHhRmB7COEwYHmM8Y30NfeGEP4jfc2JwMwY4/r08Q0kwftpwDnA72KMVem+a9PnHwQuBK6LMXkbGkL4KfB54Nt7rimdQX8RwMiRIzP1UrOmtcH1GCPbd6a49dnl2c84Uv6pq93Z8JZhN3pSnupqv4claW+Tq9/DqzZub7Z/ZQv9LWpYS3vcOe/sL+4BJ/0EbkuXr3nw3+GrT7drM9eWXsuWHTX84ek3dx0XFQRqmqjZvmcQvk/3Ij45dhj9e5Rww6zXG30OwBWnHMSUSWVsr07x2totvLJmM1fd+xJbqlNNPufFFZX8dtbrnDGhlMF9ujX7Gnaz/Dn4569h8QMEmo/81/YZwXc/eXDrx+5EZ0wYwXUPL6E2wp1zVuRnMH78ecl7+KZMOK/z1qKs8L2wJO39ch6BCyEUANcBNwHvBV7e45K305nzu/XFGKvT2fKk+55p0Lc6hLBvg76GY76aPvcOMcYbSUrkMGnSpAztYpQ9Ld3OO+mHj5KKka07amjNnkwdzjhSfmqudmfdRk/WllSe6Gq/hyVpb5Or38PD+vdgZWVVk/3D+/do/+C1tbBgetIu7gXvO6Xx68acBKNPhFdmwrqX4dkb4APfaPN0Lb2WALuFrJsKxDe8/qMH7csZE0bwkfcNoXtxIanayJvrtjb6WaDhxqc9Sgo5rLQfh5X249bnlzNn2YYm50nVRn780BKue/hlPnrQED5zxEiO2b8fCx78H/osvp3+O9eysXgImw/6DBM++RUKX32I+Mz1hIrZ7xgrxqQc/57H9xV8lH9r9tXmzr59u3P8mCE8tmQtC1duYuHKSg4Z3i/Xy9rd4VOTZJrG3tsPOajxL5rUpfheWJL2fjkNxocQhpCUpbk9nQV/BjSaThF55/tWGhy3t69La+kW2I3bd7ZpvA5nHCk/tVC7042eJElSrp09qazZQPGUIzqQMLLsaahMv28++DQo6dX0tSddC288DjVV8Pg1cOjkpDRIG7T0Wn50xqGMHdGfRSs38dLKSm57fjk7U01/PBnSpxu/v2DSbucKCwLXTx3PjHkVrd74tKV1FYZAKkZqaiMPL1zDowtX8puSX/OJgud3XTN05zpYcCXbF/yIHuzYrSTNq7UjuCl1Eh8umMcnCufsNnYI8FDqCG6rOiZvg/EAZ00s5bH0Brd3vrCCQ07Ls2B8QWFyV+uC25P38BuWwtY1ybcdG8th23ronWebz0qSpN3kcgPX9wC/Br4cY6wrfPcG8PE9Lh0UY9wYQngDeF+D55cANQ2eNxqYm+4bBqzZo+/Z9PFo4LXMvprcaOkW2KKCwLiy/vTuVkTvbkU8++Z61m+pbvL6DmUcKX9VVjTfv2ZhUkd18OjOWY8kSdIejh8zmMKCQKqRLPGGmd7tsluJms80f+2A/eDYS+Hx/4KdW+FvV8BZf2rTdJPTAd2mstbPnjSSwoLAoSP6MYUyFq7c1GyQvGxgz0bPFxUWtGnj08kTS3l88Sp6vXwnZxc+zrCwnlVxEHekjmfLmLP4/qfGct/8ldwxu5xX127hjMIn+UTB8+/IcgfoQf0msk+nDuF3qZOZVTuOEAq4M/Uhzqh9kimFjzM8rGdlHMT01PHcnTqOCcN7t2qtufLRg/ZlYK8S3t5azT0vVvCdk99Ht6L8qW0PJOUlx59bn0zz2I/giZ9A9RZ47Go47de5XZ8kSWpWLjPjvwd8IcZYFzQnxvhiCGF0CGFUjHFZCOFEoK62/EySjVx/G2PcAHwBSN9vyu3AbSGEGTHGauASkrI3AH8GvhNCmJI+vhj4UVZfWSdp6RbYw8v6c9dXj9l1PH12Of9x94Imr+9QxpHyV0sbPVVvhmlHwIiJya2th06GngPd9FWSJHWa3z35xq5A/PB+3ZPHFjK9W6V6Gyy8N2n3GQ77fbDl53zgEph/a5J1vPCvMOECOODDrZ6yrVnrWb0roOG6YorrS35FQXF9iZMRYT2TCl4h1rxEeON8vshKLjxwBZv6vknJiqeBdwbi66yLfbiq74/ou/8ETh7ZnyvK+jNn2QYun/Ev7kwdz52p47P2WrKlpKiA0w8fzh+fXsrGbTv5++K1nHzYsFwvq3nHfjN5v755VZItf8SXYNjYXK9KkiQ1IZfB+GOAO8Lu7+6+SBJI/0tIOipIgu7EGKtCCFcAM0MINcB84OvpvtUhhBuAp9N9M2OMD6X75oYQngSeB1LAH2KMizrlFWbZWRNL2/TGvbksne7FBZx8aJ6/0VT7jDml+Y2e6lTMSX5mfgcOPAG2rIWKF+r73fRVkiRlwZpNVfz5n8sA6N+zmIe/dRx9urd949RGvfx/SeIBwNizWpdQUNw92cz11nQuz/9dBl99BopKWj1tW7LWW8qk79BdAQ3Nv42CJY3vIxSWPwPLky24AtCa4iw1oRvTvn3BbufeM7g3j7/8VvZfSxadNbGMPz69FIDpL5TnfzC+pBd87Hvw1y8DMXkv/7kHmv4WRZIk5VTOomkxxkY3UU1rNGUlxvg4cFQTfdOpz5Tfs+9XwK/auMS8Vzqg8VtWofE3u41l6VTtrOXtbdVU7azlf2a9zr9/Yky2l63OVL0V/tXofxaJMSfBwZ+CBXfA6/8AItTuTD64NsVNXyVJUgZN+8dr7KipBeArHzogc4F4SN7j1BnbQomahkZ/IkloePlBWP8qPDsNjv1W5tbVQHvqv7fJ2iWw6B546hdteFJgJ4UU76oK+k4biocwdI9zWX8tneDg4X05dERfXqrYxBOvvMXqyiqGpu/WyFuHTYHnb0wSa5Y9lbxfP/i0XK9KkiQ1wtTWLmzGvPrSI6OH9GbLjpoW3+zumaWzdlMVH/3pLDbvqOG3T7zOpyeM4IDB+V3LUa1UWwt//QqseSk57j8Seg2FzSuhXylMOC8pS1NQmNRP3bQSFkxPStO8taT5sd30VZIkZcCKDdu47fnlAOzTuxvnv39U5gbfshZe+3vSHjoW9j24bc8/8cfw+mNQsx1m/QQOOyt5D5UFba3/DjRdUnDcObDulSQAv/AeWPdy68brPgA+85fkNfYZzov33cARC658R834uuPNB5+TudeSZ6ZMKuOlioXURrh77gr+7cPN5ZHlgYICOPEauOmE5Phv34UDP57c5SFJkvKKwfguasuOGh76V3L754j+PZj5zeMoaEemyZC+3bn046P5/v2L2JmKXHXvQm658EiCtzV2fbOuhcX3Je3eQ+ELD0Pf4U1f33d4UnPyA5fAf4+GrWubvraymRr0kiRJrfTrv7/GzlRSK/7fPnwAPUsy+PHkX3dBTCXtljZubcyAUXDct+GxH8LObfA/x0Jxr/zYRydVA3d9LsmArlNXUnAXPj9OAAAgAElEQVTm5clmnu8QgHdukLvL4DGw37G7Diec9m/Mff0RJmx9crfLQoC5vT7IxFO/1qGXkM9OGzecHz6wmOpULXfNWcHXjj8g/z8flR2ZfGH0rzth4zJ49jfwwUtzvSpJkrSHglwvQO3z4IKVbN+ZfLiYPLG0XYH4OucdPYqDh/UF4KnX1vHAglUZWaNyaOFfYdY1SbuwG3zm1uYD8Q2FAAP3b/6aLGWFSZKkd483123lrrnJF/zD+nXnnCNHZnaCBbcnj6EQDj2zfWMc9bUkAA+wfUN9wPu+i+HOC5KgeC7Mv233QHxDDQPxRd3hfZ+EM36f1MFvzoTzdjssLCpi7Ddn8Py4q1lcfDCr2YfFxQfz/LirGfeteygs2nvzuvr3LOGEg/cFkn+nk374KJNveIbps8t3bTSclz72PSjqkbSf/ClsXpPL1UiSpEbsve+g9nJ3vlCfmXxmBzdCKios4OpPHcrkG5JNm65+YBHHjxmc2Xqd6jwrX4S/frX++PRpUDqxbWOMP6/5TV/3+LAmSZLUVr989JVdgc2vf+RAuhdnMMt87WJYNT9pH/AR6LNv+8ZZOAN2bm28L5f76My9ufn+HgPh5OuS2vfd+iTnalOw9InGg/gHnZqUt9lDUXEJR376G/DpbwC8o0b83qomVcvqTVW7jtdvrWb91mrmLNvAY0vWcv3U8RQV5mFeW7/S5C7XWdckX8o89oPks4AkScobefgOQi15c91WXli2AYCj9h/IyEFNb+TaWhNHDeAzR6TryG/ewS8efbXDYyoHNq+B26cmtU0h2Whs7FltH+fwqcmHssb0GAhjz27/GiVJ0rveK2s2c+/8lQCMHNiTsyZl+K67+bfXt9tToqbOvFua75/bQn+m1dYm5Xcq5jZ/XXFPOOzM+kA8JCV1zvxTEpwtOxr6liaPp0+Ds27OXcmdPDRjbgVz0p+39jRz4WpmzKvo5BW1wQcugb4jkva8/00SdSRJUt4wGN8F3TWnfFf7rAxujPQfJ76P/j2TbPg/PbOUxas2ZWxsdYKaHXDHubAp/eFg9EnwkSvbN9aeH9b6jICSulu03979A64kSVIb/fyRV4jpah+XfPRAijOZZVybSupmA5T0gTEnt3+syhaCrhvLm+/PpKVPwe8/AndfWF8LvylNlRQsLEoy+S98GC5dmDyOP9dA/B7ueKH5v9fpszvx772tSnom5WoAiDDzO+z6j02SJOWcwfguJlUbuXtO8qGgV0khJx+WuZtFB/Yq4fIT37drnv+85yVq87kmourFCPd/E1Y8nxwPPggm/w4KOvCfeMMPa99eBJ9/CEJ6vEf+E7au7/i6JUnSu85LFZU89NJqAA4Y3ItPjR+R2QmWPlmfnHDw6Ulwsr36tbC2qo3w1svtH7811i6BW8+GP50CK+e17jmWFOyQVRu3N9u/soX+nDvsLCg9ImkvfwYW3ZPb9UiSpF0MxncxT722blf9wlPGDqNnSWbL/k+ZVMb4kf0BeGHZBu6eu6KFZygv/PN6mH9r0u4xEM65bffbkjNh2Dg46itJe/sGeKSdWfeSJOld7WePvLKrfekJYygsCJmdYP4d9e1xHSytN76FoPbOrfDb4+DZG5ISMu2VqklK3tz0cfjZIcnjM9fDfV+HG94Pr8ysv3b/4+BL/2i6pGAT9d/VesP692i2v1e3PN96LQQ48Zr6479dCTurmr5ekiR1GoPxXcxdc+qD45ksUVOnoCBw9emHUveZ6McPLWHjtuqMz6MOaviB7dr3wN++m5wvKIKzb4GB+2dn3g//f9BneNJ+8S+w9OnszCNJkvZKdRtgAhw0rC8nHZrhLUGrt8Li+5J231IYdWzHxmt2H50ByWNNFcy8HP58WvvK1qRq4K7PwX0XQ/lzsGlF8vi3K2DunyGmg/xDDobP3gXn3wcjJlj/PYvObuFz1qtrt/DDBxaxo6aFckG5VDqpfp+nyuVJ8o4kSco5g/FdSOW2nTy8MLmld79BPZk0akBW5jl0RD/Of/9+ALy9tZrrHs7yrbdqmz0/sG1vUC5myEHJB7Fs6dYHTrq2/vjBS6HGL2skSVLr/OyR+veV3z5hNAWZzopf8iBUb0naY6d0rGQfNL/p6bdfSWpzFyR7LrH0SbjhGHjxVqjZ+c5M97m3JPXs9zT/Nlh8f9Nr6N4PTrsevvIUHHhCkvUM1n/PoskTSznxkOa/KPr9U2/yqWnP8OqazZ20qnb46FXJZr4As66FG49v+d+jJEnKKoPxXch9C1ZSXZNkxpw5sZQQMvzhpYFLPz6afXp3A+DW55fz/7N33vFRVen/f9+ZSU9IQkIICaEIghQhpADSFjsWEKmCIirqqmBd1+/aVrfo+nNddRVl7VjpyAqrgqIo0iFAKKF3AgkJIT2Zdn9/3CSkzJ0SMiGZPO/XKy8yd84591wyc8pznufzbD9+zmv3EjzE2Ybt9A5I93Jy1R4j4dLrtd/P7BEvG0EQBEEQ3GLtwRzWHNCcCPomRHB1j5iGv0n1JPN9b2uYNvWM3iZ/GPI43P8zxPTSypYXwJIH4d+963q6fzMDFkzV5EIyt8HGD2Dx7+HbJ53fP6qbpgEvRvZGw2hQmDm5H6+O60NKx0jiwgNJ6RjJq+P68MbERMICNZmajFMF3Pz2b3y+7ghqU0ySGh4Pgx7RfreZtZwDtT+PNuvF7aMgCIIgtDCauNidUJ2Fm7WwV0WBMUntvXqvVoF+PH9zDx6duw1VheeW7GTJ9MENr+kpeM7mj52/n/a5tkH0FooCN74K7/wK1lL45VXoPQYiO3nvnoIgCIIgNGtUVeX1Fee14p+8rlvDO5YUnoZDP2u/x/WDNt0btn09Yi/XDPI/vwxr/g2oWl8ckbEUXknQDKPuUniqQbopeIbJaGBCSgITHEjWpHaK5Il529l45CzlVjvP/3cXq/ae4eVbe/PLvhzmbT7OqXOltIsIYmJKAmOT21+8fVSIk0OvjKWaI4839w6CIAiCINRAjPHNhH1ZhWw/kQ/AkK7RxLlIKtQQjOobx9yNx1l3KJcdJ/MZ/trP2Gxq01hUtkTMJbBhlubR4oz8Rki6G9kJfvcUrPyLZpD/9o8wef75sGlBaCFYbXYWp51sWptuQRCEJsgv+86w+WgeAP07t2ZI1+iGv8mOBef11fs0kFe8u5gC4Nq/QLcR8NktYCvXL1vbEG8wgd2Jd3K4d51wBM9pHxnMnPsHMmvVAd74cT82u8rKPdkM/eeqqkhmgMz8sqo8CTMn98NkvAiB6TvmOX/f2448giAIgiDUQGRqmgnVE7eOS26cBbmiKLwwsieV5qTjZ0urFpRPLUpn+pdpWG12p20IDYDdpi2S306GlX8FXITANtaG7YoZ0OYy7ff9K5xrnQqCD2K12Znx1VaeWpTOlqN5Mj4KgiDooKoq/6rmFf+Ha73gFQ+wvcLoqBih99iGb98dOl4BwVHOyxj8oP/vYcyH8Oh2uOkN5+WTpjRc/4QGw2hQmHHVpSx6cBAdozRd9uqG+Op8v+s0i7eebMzunSffxX0bw5FHEARBEIQqxBjfDLBUeF4ChAWauN5FMqGGJP1Evq7p96IuKlsCqgr7lsOswZqmY2Gmdt2oJQmr/Xepeu1gw2a12Zm/6ThjZ61l0D9WMnbWWuZvOo7NfgHaliZ/uOn186+/+z8ob8IJrAShgVmcdpLvdzmWIZDxURAE4fz645rXf2HHSS3Cs1tMKCmdWjfcTWxWzWlh1hDI2qFdi+kBwQ14D0+JqCtrUoP4ZE3yr894Ldqw3+1aTh5H9BgJfSc1eBeFhiMxIYJvHxlKVIi/03Kf/HaYUnPdhKleWadXJzzexfsSeSEIgiAIjYnI1DQDft13hpwiLdR1VN84Av0aL3nTvAqdej3mbzruUEdR8ACbVUvKuvVzzXMlPB46DYVj6+DomvPlFAMk3o51yFOkf/wQScWrazSjAGkhQ+nTe2KNL3al9251o2GDhcx2GgyJd8C2L7TDgp//ASNerl9bgtDMkPFREARBH0frD4B92UVM/zKtYSQ7bFZYeFfd6LysnVpiynGzteSrjU2/KVqCTD1qO04YjFpf0+dqBwv5JzQDadIUzRAviVubPCEBJgJMzj/PGacL6fnC93RsHUz32DC6tw2ja0wo8zef4LcDOVXlGlzaxtPPoyAIgiAIXkWM8c2ABZvPhw6Ob2TDzqlzpU7fP5lX0kg98VFsVuwL7sKwp9omsuBE3QVztxvgmhcgpgdfrDnM33LvZ4yxBxOMq4hTcslUo5hvG86i3GFcPWc7Ay+JolWgibBAP9KO5rn03r0gg+G1f4W9/4PSPE3Tvu9EaNe3/u0JQjPB1fi442Q+q/efYUjXaO/IMQiCIDRh3IkeuuADy+1z9GXyLmZiysTJsH+5477pebobTVpfRbu72dIuIojM/DKnZVQVjuSWcCS3hOW7spyWbbDvSX0+j4IgCIIgeA0xxjdxzhabWblHW6h1jQmlb/vwRr2/q0XluVIrW4/l0a9DZCP2ynewbfsK456lqKrj3KdqRCdODn+NNZbupP16ji3HfuFAdhFgZIFtOAtsw+vU+WF3Fj/sdr64r84Fe++GRMG1f9OkdFQ7LHscpv0gXlyCz+NqfCy32pny0UYujQnlrsGdGNOvPUH+Rkn6KghCi6BRooe2fu78/YuVmFI83VskE1MS2FKRpNgRv+vWBoB9WYWccmG0r6RBvifVP48bP4RTW7Xr4e216/J5FARBEIRGRYzxTZwlW09isWl6geOT21+4d6UjSZR+UzSPCQcLMVeLylKLjTGz1nLnwI48eX13wgL9Lqx/LYmSs5T++AqhODbEA6Tl+TN2rhnY4bVuZLrw7nWLxNth25eatM7JLfB2kvZZc/H5EoTmzPjk9k7Hx0r2Zxfx7Nc7+efyvUxISWDv6UJ+2Xem6v0GD0cXBEFoAriKHmqQ9UdTTkwpnu4tjrHJ7flpT7bDiJARvWJ55/akqkP3/BIL+7ILuXf2JvLLrLptnjjbQFHI1T+PX02Efd9r34/T6RCf1DD3EARBEATBLcQY38RZuEXbRBgNCrcmuUi+4wpHupqVkij7lzvU1XS2qIwK8Se32IyqwqfrjrJ8VxZ/uaVXoyWY9dS7tLG8Ua0WM1uXziIsYy4RlmzO+cVQ2OM2kkZNx2gwwOFfsKd9jpKxlFC72WlbseTWeB0e5IeqqhQ4WbRfFhvGMzf2oLDMSmGZhZk/H+BEnv6GNy4iyLMHdITBADf8E94bCqiQd0S77uLzJQjNmQAn+Tuu79mWuwZ35tO1R1ix+zR2Fc6VWHj/10O6dRosHF1omnh4GC4IzR1X0UMNsv4IjdHWGnpIYkqhETEaFGZO7sfirSeZv+k4medKiYsIYkJqAmOTau43woP9SO3Umq5tw5we7OcUm1mw+Thjk9pjaKj9StJUzRgPsGW2GOMFQRAEoZERy1gTZldmPrtPFQAwvFsbYsICL6zBeuhqOltUjukXz7L0U/x12W7OFps5XVDG7z/fwnU925LaqTXf7zrtNaO3p0lJ65vE1GODv8VM+ptjSK2WXDXWkgPpf+bozg8IM1pobTmNu36vp9RobktNIKlDJEkdI7gkOpSFW07w1KJ03Tr3DOnMsIowWACDojgtn9ghws3euOrsNkB1/N7F1G0VBC9QZrHx2vK9Va97xIaRX2qps+m+oksUx8+W8Pn6o8zZeIxCJwdpIElffZZ6HIZX1RMDvtBMGZsU79TIOCH1Ase68iIoyXVeRhJTCo2MyWhgQkqC23O5qyhkq13ljwvTmb/5OH8b3ZvLYltdeCcvvQ7C2kHhKdi5CK5/CQLCLrxdQRAEQRDcQozxTZiaiVsbwLOnnrqazhaVo/vF87tubXjp24wqL/4Vu7NYUU2z3BtGb1dJwRalnWB0v3jMVjtmq51FW054nETMEwN+idnK0dwS9nz7LrcWr66jAa+q0NF+HOznrx22tyVD7ciNxo0OyysKbIi4kVfG9qnRL1chsGOT2rtdHuCrDccY2SeOvgkXaJR39fna8qkY4wWf4eM1hzlZIbEwJime1yck6pZNaB3MMzf24NGrL2XQP1Y6DUdvENkGoelRnyST9TXgC0IToXVIgO57jtYrHmGzwIK74NxR/TKSmFJoBjhbp3doHcyJvBLsKmw6ksdNb/3G3YM6MeOqrqzYlVX/aN9KyZpf/wnmIs0gn3xXwz+cIAiCIAgOUVRVx5O1hZOSkqJu3rz5ot3fbLUz4OUfySuxEBnsx4ZnrsHfdIE6wq/3ch7K6x8GT+yGwPp5XKw9kMPDc7aSW6wvvfLSrb25fUDHGtccGb0rGdErtobRu6DMwsHsIh6ft40juQ2koQgE+xsZ0Lk1bVsFEtMqkLatAth/uojP1x1kjHE1E42raKfkckqNYp5tOItsw0juFIWiKBzNLSaroBwDdpb6P0MvwzHd+9hVhWUMZWPkTdgSBlFabub6jD9xg3FTnbLf2VIpGvUh41M71XnParO7FQKrV75deCB+JgPrD50FIDLYj4UPDqJLm9D6/ye6+nwpBhj8KKTcAxEd6n8fwRU+kwH0Yo/DepwpLOfK11ZRVG4l0M/Az08Op124e3ILY2etdeoBl9IxkoUPDmqorgpNhY+u04zoeviHQZcrIbStJrsRGgNZu2Dj+/p1bnlHDjibLjIOA/d9trkqobxe9FC9UFVY8hBs/0p7HdYOrpgOGcskUarQLHG2rs84VcCzS3ay/fi5qvIBJgPlVnuddmrvm5ySdxT+3RdQIS4J7v+5AZ+oSeAT43BTXQsLgiC4wCfGYG8ixngdLvbE9/3OUzzwRRoAdw3qxIujel14o+9fCZlpzssER8Hv/qR5R5j8Pb7Fre+sYWu1xaIj2rYKoEPrYDq0DqFD62BO5Zcyd9Nx3fJXdIlCAQ5kF5FdWO5xnyoxYtM1rNsdCMcYsTHT7y1dQ/lTlvvpYzhEirKPZMM+kgz7CVX0tVEBsmhNzAuHqhLx2uwqD3+xiZC9C5hgXEWckkumGsV823CKuo9n5h2pDapnXx2bXeXhOWl8u0M7BImPCGLRg4OIDa+nHJIrY1MligG6jYDUe6HTUEifJxIMDYvPTHwXexzW45mvd/DVBu3Q7ZGrL+WJa7u5XXf+puM8vWir7lj0yrhEkanxRf7VEwpdJJr0lISBMG15w7YpNBQtfhzOKSpn4MsrsdpVurcN4/vHhlatfS6YlX+F1f/Sfg8Ih3u+h7Y9G6ZtQWiC2O0q8zYf55Xv9pBfanFa9tVxfdxfR3w+Bg6u1H7//Wpo18d5+eaFT4zDTXUtLAiC4AKfGIO9icQ3N1EaXKLGaoYy50ZyQNPe/O6PsGEWXP0C9Lylpn6KC7IKnBujtTLlZBWUs+mIvndoddYddKwH6sy4HhYUwBWXROFvMuBvMrB6zyleNL9Rw7Aer+SSYtjHVYatPGZ7FLNqoPrZ1Bjjam4wbnIoIXODcRPXGTZjVDw7zDrrF0vbao0ZDQpv3Z7C4q3t+H+bbnXLy72hMBoU3piYyLmSTaw9mMvJc6Xc+fEG5v/+CiKCPT+Iod8U58Z4UyBYy0C1w95vtR//EDAXny8jEgxCE2fv6ULmbtQM8W3CAvj9sEs8qj+2XyxdV71PUrW8EtXHIr/A2Q3ZXaEpYDWDi2TdKAZtbPSEfCeRSIJwkfnvtkysdm2NNC65fcMZ4jd+cN4Qb/SHSV+JIV7weQwGhUn9O3Bdz7Zc98avTqOQPco9kzz1vDE+7VO46V8N0FtBEARBEFwhlq4mRKVu+hcbjpJ+Ih+AuPDAC0/Uo6rw7ZNw9pB+mUuvg9adYdPHYLdoZRdMhfapcPWLkHfYLe/ldhFBZObrG+TDg/yICQvg2NkSh+GVepgMCp2iQ+jSJoSuMaGcLShhWPpTusb1ohs+YHz/zlXvbV74Iyk79Q3rfWP/Q9sO3SgvKcBcUoi1tJDgbC2KoPb+sfJ1TUO8Am17kW0NIibX8X0UBQp71tUu9TTRU0MSYDLy/p0p3Pb+OnaeLGBfVhHTPt3MF9MGEOTvoWd64mTNiO5IF7nHSE1SYcdC2PQhZO/Wrlc3xFdHEr4KTZSXvs2gwr7EH6/rTkiAZ9OoMX0uScWrUanpLlA5Fj07/21iI5+hd3x4g/VZuIiUnIV5U6D4DEDdv3vl61FvQ69boShb+ynOhhXPQd4R/bbDG+CgXhC8RGUeIaNBYXS/+IZpdPc38O0fK14oMOYD6DSkYdoWhGZAVGgAAS5kSz3KPdP9RgiJ0eac9Plw7d/AP/gCeykIgiAIgivEGN9E0NNNz8wvY/qXae7r/zli80eatwNAYDgMfgz2LXesqzngAS38d9fXWvkTm+DTm2q258R7eWJKglM95Gdv6sGElARUVeVMYTnHzpbw5ILtHM8t1PVy7xkXwdfTB+NX7fntWz7DsEvfuK6m3Qk7gjUDSEkOKWXa4YaeYT3uzG9w5jeCAXeXoDaDP8Yhj2pSAQmpEBhOlNVK2huja3i9Vt4nLWQoySMfcrP1xiM0wMTsu/szbtZajuSWsOVoHtO/SuO9Kck1/s9dYjBqn4f0uVoyYEefr9Rpmmb8sXUw93YoPavf3g8vgN2q/f9GdwNDRV9sVi0ZokjbCI3Mqr3Z/LpPM6r2aNeKscn1MIZWJDqu7SNaORaN5iemfXotS6YPdluHXmiinNkLX03UDrMBKyZM1Ezeq6DNDX16T8Tk56cdireuOEguPQffzNBvP3GylzouCBfGrsx8Mk4VAHBl9za0CdNP5Oo2R9fConvRjrCAG/4f9Bp94e0KQjPDleNTXIQHawejnzaXrHkTygu0/V+/2xugl4IgCIIgOEOM8U2ExWknHSYwBfh+12kWbz1ZP8/pI7/Bd/+n/a4YYNwn0PVqGPqE4/KtL4Hxs+GKGbDieTi2Vr9tB97LY5PbsyrjFCF7F9QxrBd1H8/YJM14pSgKMRXJUqcP60Tosvv0vdwHfoCfuQDO7NE8qrMzMGyfU9FOzS5VvlZOp3v031QHgx8qKordql8kPgmueq7GNaPJRJ/HFrNx2X8I2z2HSEs2eX4xFPacRPLIhzCamuZXLjo0gM+nDWDMrLWcKSznpz3Z/N+idF4b1xeDJ1I5RpP2eXDm0a4o0HEQ+AU7N8aX5MDSR7XfgyI1o3z7VC2c9uia8+VE2kZoBKw2Oy9/m1H1+rmbetRPRirfuW54nJJLVkE502ZvZsEDV3jseS80EQ78CAvu1owbQGFIR0afnU6S4UCd/CCLcofxyvbTded4Z9FGAAd/gsTbZcwTmhzVpRbH1efQsjbZGTDnNrBV5A0a/BgM+P2FtysIzRBXjk8TUj3cLybdqRnjQXPeEmO8IAiCIHgd2cE1EeZt1k9gCh7q/1Vy7hjMv1PzLgYt9LDr1e7VbZ8Cd38L7/SHnH365f73BziwEtr1hbhEjDG9men/Fga/88aDSsO66n8KRZ1N7Y/dWNNqDE602dWfhsO3bujd18Y/DEKiIKQN5Ox3rpkf2wdu+xL8Q7Ufkz9K2ufwzQxdWQElaYrDpkx+/vS/9RG49RGtac97flFIaB3MZ/f0Z8J76ygss7I47SQ5heUUm22cOldKu4ggJqYkMDa5gbTsw+M1Q7o7lObBvu+0Hz1E2kbwIvM2H2dfVhEA1/SIYXDX6Po1FBrj9HN/zq8tlMPuUwU8PGcrH9yZ4tXcEUIDo6qw8X34/k/nNeA7/47pRdM5mGvloK09C2zD61RzOMc7ijYKioCzB8FSCruXgMEEt74nBnmhyWC22vnvNu3QMTLYj6sua3thDeafhC/GQkWEI31ug2tevLA2BaEZMza5PT/tydZ14rLZPctnRVQX6DwMDv+qObdkZ0BMjwboqSAIgiAIesjurYmQmVfi/H1P9P9A0+KeO1lLyAra5uWK6Z61oShgdt4vrGWwa7H2U4GesImyZynMnQSt4rTw+9I8KM3DcGZv1e1q3x5AcWhEV6gKVXZE+/5w7w/nX1cY1nUZ8HuI6FDzWoVXolLLK1EBTQO9b1399+ZOj3at+GhqKlM+2kC51c6v+3Oq3svML2PL0Tx+2pN9YbJJlbhK+Hr1CxDaVpO0ObYecve7bjPtczHGCw1OYZmF11doh5Img8LTN9Zzk1pepEV8OCFhyO20WxfIqfwyftqTzd+W7ebFUb3qdz+hcbFZtEi0zR9VXbIn38OvXZ9k45fOo7V053hH0UYnt8BnozWv+50LNaP96Fki0yU0CX7ak01eiQWAWxLj8Xehb12H6lJ0545DWZ52+ATQ5Sq4ZWbdBaMgtCCMBoWZk/uxeOtJ5m86Tua5UkICTBzILkIFXvhmF73jwrm8vQe5Z5Lv0ozxAFs+hRte8UbXBR+lMu/dvM3HvePAJQiC4IOIMb4JYLOrWF04MXik/6eq8N8ZcHpHReUkGPlm/TYvrryXDX5awld32b/C8z4YTNBtBMT01Dw1Ynpoxtllj+nXSZ5a87Wr5KKODOvuaKD7IP07t+a21AQ+XXfU4fsXJJtUHVd/k8GPav/HleGyxTkwsz+U5uq3ec55hIkg1Id3Vx0kt9gMwB0DO9KlTajnjdgsWqTSuWNOi7XKmMPsiV8yZvYeis02Zq89QqeoYO4a3NlpPaFxsVrMbF06i7CMuURYsikwRdE20EJ4kZYoXVUMrOz4OM+mX0HWmm0u2/Nojo9PhilfawZ5cyGkzwPFqBkpfXReEpoPlYlboR4SNTYrLLzL8bogMBzGfqxpXAtCC8dkNDAhJaHGWnzmT/t5bcU+zFY7D3yxhWUPDyEyxN+9Bi+7GYJaa/KR2+do0Sd+gV7pu+BbOMp71+AOXIIgCD6IjIwXmTKLjYe+3MKZwnKn5TzS//vtjfOe6qFtNfkVv3omAuznWIqlipFvwh/2wqR5MPxpMHmwcDP6a/1zVSc+RXuGq56F3mM0Y87jXlMAACAASURBVHzSnZrB1hGOjOuVhvVb3tG0x1u11/695R0Y/6m+AaPSK3Hacnhil/Zvvzt83uCxM7PA6fvzNjo3KLqFp3+TkGiI7uq8zfICOHvowvsmCBUcP1vCR79pCTjDAk08cvWlnjdSeUB6cKX2ulUcXPf385/7uCQIidHey9pJ9+8n896YjlQ6E/112W5WZmQ1wNMIDYHVYib9zTGkpv+Zyyy7iSWHbta9VYb4EiWYu8r/yL17kskqNLvV5vW9PRQ0a58CdyzSZNUAtn8FSx8Bu92zdgShATlTWM7Pe7MBuCw2jF5xrTxrYPsc/RwJZfmw938X2ENB8F0eGt6Va3poa4mT50p5dN429yVrTAHnk4KXnYOMb7zUS8HXcCfvnSAIglAX8Yy/iJwrMTPt081VSXiMBsXhomlEr9iqxKcu2bccVv5V+93oDxO/0Aw/9cUdj3KDEbqP0H4O/uRceqTt5TB5npaQ0y9I89Z3JSHjSJu9Pl7r7iQXFQA45UIWaevxc/zfwnSu7hHDkEujCfbXhhKPwxQ9/Zu4krYxF8KsIXD93yH5bgllFy6YV5fvxWzVDJyPXHUprd31MqvOjy9qYxVo3p13LNYOFQc9fL5M4Wn4dKSWoyN7F0PW3MUr17/LU9+fxq7Cg1+k0SUmhPwSi4T/XmS2Lp1FavHqOnlOKnnHfBO/2PsCEBpgYmTfdoxJas+Hvx5i+W7HhypzNhxjdGI8bcIC3O9IhwFw+0JNT9tSDFu/0Dzkb34TDOJrITQ+/912smodOy65PYqnc/DWz52/L1J0gqCLwaDwrwmJjJr5G0dzS/h13xn+/eM+nriuu3sNJE2FdTO137fMhj4TvNZXwXfwSt47QRCEFoAY4y8SJ/JKmPrxRg6eKQYgOtSfD+9MYV92UZX+X1xEEBNSExib5MTgUl1b8+yRCj3iCoP+Ta9DQv8L66inRm9XxtKBD2jSN9Wpj4QMiHHdi7SLCCIzv0z3fbuqLb7mbT5OgMnAoC5RXNk9hp/2ZLNq35mqcg0epujssxIYrnnOWYph2eOw538waia0andh9xRaLGnH8li6PROADq2DuXNQR88bWT8L1ryp/W4K1KKIHCVGC4uFu/6nGeTP7IEze5iw8wGOpf6TmZuKMdvsZJwqBCT892LTevdsQP+sb7hxO1s6TmN8cgI3XB5bdVjZLyGihsZvTFgA2UXlZJ4r41BOMbd/uJ459w0kKtQDg3zHK+D2+fDleLCUQNqnkHsQbGYoyNTm235TtLHTxyO6hIuLqqos2KxJ1JgMCqP7xbuo4YBzLpK657uZ9F0QWijhQX7Muj2ZMbPWUGax89ZPB+ibEMHVPdxIpNymG3QYBMfWwtE1kLMfousRDSi0KFw5cO08mc+3O05x1WUxBPrJOkQQBKESRVU9zLjeQkhJSVE3b97slbZ3ZeZz9yebyK6QpukcHcKnd/enQ1SwZw0509aM7AQztmgG68bEboMFU/UN63qSMDZri9Nmb8rM33ScpxbpJxwMDTBRVG71qM1Xx/VpGM8Ivc9K73GaRNOv/wTVppUNjICb/gU9R58/tMo/6esGKp9xlfbmOKxHZXTH3E3H2HEyH4tNmyPfmdyPm/p4GGW0czEsvAdQQTHAhM/05bUqKToDn90C2bsAKAjpxLW5T5JFa4fFG+x71cJxFdVTXFzE/lVfEbrzC7qWbnfa1mmiiX3xoFv3zSs2M+mD9ew5rR20XBYbxpz7Brqv81vJ4V/hywlg1dkU9xipHaw39pqg5dLixuGdJ/O5+e3fALimR1s+nJri2Y1UFV7vAYWn9MskDNTkAgVBcMrXW0/w+DxtrgoLNLF0xhA6RYe4rrh9Hnx9v/b7FTPg+pe82Euv4xPj8MVYC3vCmHfXkHbsnMtyYQEmru8dyy2JcQzqEo2qqpL0VXCP6s6nvr+P9yXki+wCMcbr4K2J77f9OTzwxZYqQ2ZiQgQf35VaP+kDV/Iut7xzcbzGxbDe7LHZVaZ/meZQA3BEr1jentSPnZn5rMzI5seMrCpDkjMuiw1j6cND8KvmxeuxrI07nNwCXz+gyX1U0ipO8xKtjW8aqHxm4mvsDYijJFSVXN+zLe/cnuS+F/rhXzX5EFuFZvhNr0PqNPfqFudqBvksLQn3YXtbJpmf4zRRdYomd4hg0UOD3WtXcIjVZueRLzcTsncBE42raKfkckqNYp5tOMVRl3OL+jP9C1YQqRS51V6GX096PLvO7fvnFJUz6f317M/W2u8d34ov7x1IeJCHiSqXP3teYsARemsC2eR4gxY3Dr/4zS5mrz0CwHtTkrm+l4d5EH79J/z0d+dlLta6VhCaIX/+704+W3cU0NbgXz80mCB/F2O6pRT+1V2LNA2OgicyND355olPjMNN3Rh/36eb+cHDvEZtQgMI9jdy9GxJnfdG9IqVqE/hPM6cT31zH+9L+MQY7E3EGK/DhU58joyMl8aEsnDLCawVeprX9GjL25P6uV4Y6fHRdc4lYcSDSLgArDZ7DUkFZ7JJJ/JKuOnfq8kvc+4tH+RnJKVTJAMviSK1YyQfrj7MCgcLuAteiFlKtdwJ6991Xdb3Nvc+M/E19gbEVUSI217op3fAJzdqCYUBhj2lJaD2hJKzmkH+tNafXDWMk2o0UUpBlaF4kW0YKAamDurEqL5xJCZEeK7RfAF45TDtIrBgw2FCl93HDcZNbpU/SiwdOV1HM77y9ca+f6P/rY941IfswjJue289h3I06bq+CRF8Ma0/YYEeGORdrQmCoiB5KrTurEXPRXbWEgcvniabnIan+XwBXODOOFxutTHg5ZWcK7HQOsSf9U9fjb/Jg/l73buw/OmKFwpVcovVcRZdKQhCHcxWOxPfX8fWCq/lW/vF8/qEvq7XCd8+BRvf034f9wn0HuPlnnoNnxiHm7Ix/sPVh/j7/zJ037++Z1sevvpSlqZn8s22TE45kUCtjkR9+jCeOoBsng3LHtVvz/f28b6ET4zB3kSM8TpcyMTnzLuykskDOvDXUb3qb2wszIK3+mn62Hq0ag9P7Kpf+4LgIWNnra1KRtwQNMhCrLZ3siN879DKZya+xt6AuPoMp3SMZOGDg2perL2oDImGs4fOG+L7TYFRb9cvmXBpHgf+dS1drfsdvv2dLZUZlkewoS1eE1oHMbJPHKMS4+jaJtRjQ7knxnVn85yzw7TGMOBbLWa2Lp1FWMZcIizZnPOLobDHbSSNmo7RdN6wnFdsZtuJc6yb/zrP2GbpJmQFKFDC2N9uJK0G3UPn7omkv3krScWr65RLCxlK38eX1LiPu5zOL2Pi++s4mqt5iiV3jOSze/oTEuBmW6/3ggIPNbUV43lZL0eIN319aVHj8Hc7TvHgl2kA3D24Ey+M7OX+DbbMhqWVG20FRs/SPpMSXSkIF8yp/FJGvv0bOUXaOnh0YhzH80qdz79Zu2BWxVqn8+9g6jcXoecNgk+Mw03VGD9n4zGeXqxFcCoKTOrfgX2nC3UduOx2lU1HzrJkWybzNx+vSvbtCIfrbaH548zL/bKb4dq/Q+4+yN4N2RmQtRuyduLwgL4S39vH+xI+MQZ7E3F38gKL0046NcRf36stL43uXT8PRnMxrH0b1rzl3BAP2gZGEBqJiSkJTg2ZQ7pGk1tsZs/pAtw5A/x0zRHGJ7ev8z3xyJjXeRgER0OhA4maSiQhnFBBZl7dcNka79dOUuVoUVndGHrp9XDzm/UzxAMERVLQfRzs+kedt1QVbjBuYqKyhq/MwwA4fraUd1cd5N1VB+vkdXCV9NWRcd1ZHWfz3Pe7TrN468k6h2me3qN6PbcPCSxm0t8cQ2o1Q3msJQfS/8yGfcvZPeCfnDm6CzVzG+1K9tHbcJj/Uw6Cov9nOkIcnZ7ZSrJfYNW1Po8tZuOy/xC2ew6Rlmzy/GIo7DmJ5JEP1csQDxAbHshX9w1k4nvrOJFXypajedw9exOj+sTx9baTrse78HjPjfHODPEA3z8Np3dqSYdjekLMZWAKcvy5P75BS7At3vQtjoVbzn/uxiV7sPZMXwBLHzv/euSbkDhJ+1083QThgmkXHsRbk/pxx4cbsKuwZNv59bDu/Nu2F7RPhROb4PAvmoNB60su0hMITZFvtmfyzNc7ql6/MuZyJqZ2cFrHYFAYcEkUAy6JYtWeLE4VlOuWTT+Rz8qMLK7sHoOhGUVatkg8cc7YPsexIR5gzzLtx1POHfe8jiA0EWS35AXmbXY+KOQWmT03xNttsPUL+PllKNI39NcgaYpn9xCEC2Bscnt+2pOt6yn7zu1JGA0K50rMbDx8lsfnbaPYrG8I2nWqgP4vr2RwlygGd41mcNdoYsICPDfmRSQ4N8bLoZUAlJptlFjsTsvERQTVvOBsUQnQbcQFGyX75f/k8HrlFPK3+A1cPewJvtmeyQ+7syip+E7pJVj+ftdpRs1cwyVtQgjyMxLoZyTQz8ChM8Ws3JOtW2fCe+uICg2guNxKcbmVvS7yRLz4zS6+TjtJaKCJsEATYQEmjp8t5Ze9pxhvXF1Hm33RrmHM2RTFHQM61pgfq+u5P11Z51QU85YM5+eM8bx9ewoGRaGwzEpeiZk9373LiOLVDiVkBpStIXnVEExKxd/ZzT9NiMEC1QzxACY/f02KpkKOxkN1bF3iI4KYU2GQz8wvY+Phs2w8fLbqfafjXb8pzmVqbvgntE+BvCOQd1j7d/s8sOlviCkvgA2zal4LjoKSXMflM5ZqOWPEkNpiyC4sY9W+MwD0bNeKXnHh7lXMWAZf/54qj7fr/wHJd3mlj4LQkhnUJZoRvWL5dqcHB+jJd2nGeIC0z+CaF73dTaGZ8OPuLJ6Yt63Kser5m3u6NMTXJi4y2Kkx3myzM+3TzVwSHcLdQzozNimeYH+Tz8gj+gw2K/YFd2HYU9c5Q923HGXcJ1CSo0lunkqH9e941n5gOKh2KHey5yg9C8fWQ4eB9XsGQbiIiDHeC5yq7T1ZizrelZU4OllMvANCY+DHF+FMNU02vxAY/Aic2gZ7v6vbVo+RWkivIDQSRoPCzMn9XOrMRwT7c12vWC5r18qlrM2ZwnKWbMus8uSJDvWvCrWtjZ43rksDVddr3H9IwSfJLSpn2qebyS+1OC03IbXWZ2vr584bTp8HqfdcUN+UgpNO3zee2srVWx7i6r6TKBl5PSsPFPLckp1On2X3qQJ2nyrwqB9pFZqzNe6NjTGODOu2YZSYYd2h3DrlZ/q9VUObPV7JJcWwj6sMW5mx5BFe/GY3YYEmWgX60SrIRHm5mSfy/8ENfnXrrNq/nvv+cgsRtlzakUOcksvNxvUOvdwrX1cZ4iuwGgKwYSDA7mTebuQDu4TWwXx130BGzfyNAp08HA7Hu8TJmme6nv576jTNSyk+6fz1M3udj4+O0DPEV5L2uRjjWxD/3ZpZJTfgtlf8gR9h4d3nIzOufA6ueMhLPRQE4XSBc63u+ZuO15xPet2qRUaVF8DWL+HKZ8HoYVJxwedYcyCHh75Kq8p/9/g13Zg2pLPH7UxMSWDb0RzdNaQdzdHgUE4xzy/ZyWvL93JbagJ7TxdWHf6Ce9GVgvt4ethh2/YVxj1LHedQ2rMU9dXOKGbnzjs18AuGK5+piMTsCWGxmjPqNzOcdLoUPr4eUqbBNS9oBnxBaCaIMd4LxIYHkukkQUkd70rQlzuovUlWjJB0Jwx/GsLaavXS54q2ptAkMBkNTEhJcEvr3ZWsTXLHSE7mldbYQOgZ4iups5kA5wYqgLVvQYcBmqSN0OI4mlvM1I83cqRCpzvAZKDcWtdDfkSvWMYm1TI0uQqNbAgJJHekRw78CAd+JDigFSN7jeZ/pu78QAJjjL853eTUxplxvbKOv8lAaICJ0vJyXlccG9avNmzhr7Z7CDeUEWQrpJVSTDjFDDdu5wbjJoeL9huMm1iovMgxtS2KRQULUAgdlCwSjYcc1hluTGc46eg8jkPKMWFJvJuQTkko7RIxRXfDsO0rWPqwbkLWqKHT3L9BA9EpOoSE1sHsytQ/NJm38VjN8c5gxDrmY9KW/oewjGryOT0mkTzqIYyO1gSuDitvfhMS+mu6nZUanvtXOJe3ObUd9i2HLleJ8cbHUVW1SqLGZFC4JTHOdaUja2DuHedzuQx5HIY96cVeCoJw2kXizDqOYv4h0HssbPkEirPhte4Q3VVyg7RgthzN477PNmOuWCPfN7Qzj1zdtV5tje0XS9dV79fIvVO5hpwUkYF97Md8sv4E3+88jc2ukl9q4b1fD+m250we0Zv5k5oynj6Hx1KSNiuFq94mAn0HGI8M8YAaeznKoIdrXnS2jw+J0cYngM0fwd5v4cZ/ag4ogtAMEGN8A+MsGUkldbwrwbXcAUC3G+Dav0Cb7uevGU2aB5p4oQnNDHdkbQyK5hWx5kAOaw7ksGJXlrMULo6jTgxGTcO4+qFVWCyYi+DMHs3r5/MxWpLNRIkmaUlsO36OabM3kVusGYW6tAnho6kpbDyS5zS6A6sZNn0IxVnOb9AQHtWujKXhHSD/mPZ7eQGkfcZ/gOKAAEKU8yHA1T3QP479M5/cO4gyi63q59EvNzPj7Eu6XusfxDzPvAcG4VeSBeeOc/DHOXQ57tiwPsK4hRHGLdoFB6sMvUV7P8NB+nHQ4WPq1amNivNsQYf8utFj9Gs1rhn63Y59/4qaYbYV91AvG4khcbKTFr1HXrHzw8e0Y+eY/MF6+nWIIKlDJJfHh/Pn/+7i+11dgOe0QmXARhhRvN2x11jiZOz7ltd5dtCeXUm6UxtD21ZLyPnRdc4/k9ZS+GqCJmfT61a4fALEJWljsCR89Sl2nMxnb5a22b7qshiiQgPqFqoe9Xn2sBayrlYcePa/H65+of55NQRBcIt2EUGeOYrZrHC22nxcmgvHcyU3SAtlV2Y+d3+ysUoKcVL/DjxzY4/65b8DjOlzSSpeXWfNpoJmoM9fQcrkOziRV8Kna48wd+NxCnXkFyv58NdDDL00mthWgSiKUq88RfXObWQxs3XpLMIy5hJhyeacXwyFPW4jadR0h3mE6nVI4ME93JF4rP0ci9NO8sOuk7pSkv+3EAYGZxJ1ZiNxeZvpWLydCLvz/IUW1chv/oM57NeFI35diS45xCOWj3SdXza1vpn+tRtxtI+vdD7tcxvsXgLf/wmKz0DhKZh3B3S/CTpcAXuWyppTaNIoqjuZFFsg9clcbrOrPLUwnUVp+l6M1bWza+Bqc9umJ0xf51F/BKGpY7XZXcraVGfMu2scymVUEhceyI9/+B3B/m5sEGwWWPaYFv5WyfBn4HdPNXfDQLPufHXqMw67y8qMLKZ/lUZZhU58aqdIPrgzhYhgf/1KqgoZ38APL2ia26645Z0LPyi122DBVH3pkfGfalIj2+dA+nynOUUqF7s5kYlEd0kG/2BN8sw/mCO7NtIpc5nuArncP4IAaxHYnW+GGptiJZiQ0W9qC/Pw9mxeuZCUnX/VfY6Nff+mab3XpglGmY2dtdallJcnvDquj0OvscoN2wTjKuKUXDLVKObbhlPU3fGGjbTPnYcMO8IvGCwOEiT3GOmrRp0WMQ7/+b87+WzdUQDen5LMdb1qZU9wFPVZSXgCPJwGJidjriAIDcL8Tcd5alG67vvP39yDaUOqJWl1Nc43xPrG+/jEOOzNtbAe1Y3Fx3OLOVtiqZKmuSUxjtcnJNbPS9xmgUOrtHwhziTvQtvCLe9Cp8HgF0RRuZVB/1hJcVm5ywjOYH8jl7QJwWQwsON4rm75F0Zdzuh+8aCCioqqwpKtJ/n7sh26dV4Zl1h3HWUxk/7mmBpe/pWkhQylz2OLMfmdn+eqr7tq30Nv3eXpPRZsOEzosvtqONhU8p0tlR97vUKH6HDOFpeTW2zmbLGZ9GO5/JM3HNbJUiMIwkwrxcE6zgmb7N0Yb36x6rUBO+/4/Vu3Xx+2/TOLZtQjUr3kLPzwfM09vSN8d83ZVPGJMdibiDFeB08nPrtd5U+L05m/WTPEh/gbmTqoExsPn3XLyMirXTRvIT1atYcndnn6GILgU7jaTADEtgrkqRHdGZ0Yj8HVQlFVYfVr8NPfz19LvF2TZmi+BgKfmfi8tQH5csNRnl+yk8pAphsvj+X1CYkE+jkxup7YAiuehWPVDkWN/ppB6awDb+5KQ3lDGHLdNRTbrHBoFeri+1FKXeh6exu/YEi+G4IiIDACgiJQf3kNJXevbhU1PhXlzq8rXmkf45xZI4g+t0O3zpnIfrR5dFXVa5vVyvY3RutuWPo+vsShl1JTxNV4FxcRSFZBuVsReQCBJgN9EyKIDg0gKtSf6NAAjuQUs3irfl4CRwZ87Dbs86c69qbvfjPKoBmwcxHsWuxaXx6ai1HHU3x+HC632uj/0krySy1Ehfiz/pmr8fP04MY3//aC0OSw2VWmf5nmMBoVoHN0CF/dN4B24RUe8q6cxBIGwrTlXuhpg+IT43BjG+MdeYdXEhMWwC9/HE5QbacnR3nvKj2RFQMc3wg75sOur91bF1RiCtJkRLtdx4PrIxmVPUvXkDvD8gg2zq+JHeUpclbenToPWx8hyD8Af5Oh6ufashU8Z3tX1wnk/cg/UNhjIoF+RoL9jew+kctVO/+ke4+0/q8zuFssKpoUnN0ORes/YfSxf+jeY2HwbRxtPRBzeTnlZjOdz65hqvF73fIrbEkcVOMJwEIAFgIVM12UkyQa6spC6rHPHs8ZNZzBxt2693na9gC/BF+Hxa5itdk5V2LBUCGJWdsBZJFtGCoG7hjYkamDOtI1Jsx1J2pz+FdYeI/mJa/HyLcgeWrd684+w3p7ufrUaVn4xBjsTcQYr4MnE5/drvLskh3M2ajpBwf7G/n0nv6kdmrtunL+CS1BTsY3zss1j0WPIHgVZ5sJo0GpYZTq2z6c52/uSYo738P0+bDkIbBXJL3sPAwuu1kzKDW/ydVnJr6G3oCoqsq/Vuxj5s8Hqq5NG9KZZ2/scf7gpvbCKiRa+5uf3FKzsd5jNXmFVvFNzqOa13u51pn3FIMJOg6GiARNGid9LpzV1+90OGdVGOYchSUr4NAwZ9/yGQYneu72UTMxJE2pUcdqMZO27D+E7a6mm95zEskjH2o2hnhwPt5VRtmVWWykn8gn7Vgeb63c7zDfwYXQsXUw/5rQly5tQokM0Q4o3famt1ng4M+w5AHnm+/4VLjvxwbtdxPA58fhb3ec4qEv0wBtHH3+5p51K394LZzYqN+4rG0FodGoHY3aJiyArILyqtxM7SOD+PLeAXSMCnG9jmgeTmI+MQ43tjHelSNAnUN6ZxFQUV21/CDnjjVY//TWg3OiH2F7m5Hszylj/5kSrres5J9+7+uWf85yF9/bBhCAmUDFTCAWbjBuYIbpv7p1Vtt6k6lGE6KUEUIpwUo5lyuHCa4mC1mbfDWYdfZeFBNAiRpIgpLNcGO67j222C/lrBpGK6WEMEoJo4R2Si4mpWHXd55Sjj/nuo3H2mEQpkuGERYdx7Ktxwlz4oFfNOpDxqd2qrrmScTnkK7RTB3Uiasui0FVVfdlfT64Bk7W7U8NIjpCZCdo3Vn7N7wjbPkYjtR15NH1pnf2uRcP/Ep8Ygz2JmKM18HdiU9VVZ7/706+WK9NMkF+Rj65O5WBl0Q5r2g1w/p34JdXHYdu10a8hwQB0Je2GXZpG974YR/ztxyn+rB2U592/PG6bmw8nOd8Ej/yG8ydDGX5+jdvHpOrz0x8F7oBqR5mm5lXQrlN5WyFDreiwLM39uDeodXCsp0trCpJGADXvwztU+rdL6/jyqMtLhkmzAZzCViKtX//9wTk7NOvU9toVh+PV3ckd2ofYDjzwr5sJMqEBoo+aKJ4IuXlapPjbzRokkP1NNhHhfjTpU0oigIbDp/VLVdno+7KqKMY4MpnIPVeCIqsV9+aID4/Dt8zexM/7dESp3336FB6tGtVs0BxDrzRC6xOEkc2D4OeIPgsecVmpn6ykfQT2tq3basAvrx3AF2XjnW+jojuDjOcHLQ1DXxiHG5MY/y+rEKmfLSBrAJ943JKx0gWPjjo/AVPpOuCo6DXGAgIg99e1y835HHNOr3/B8iu3xzhKoeQ4BnFgbGE/KlmdKvNrvLwF5t0nTNm3pFaY63q6qAnNMBEUa3cAO0jgwjxN1Xlp6nOiF6xdXX8veGQFHu5drBkCgRTgPZv7gE44MSRxNE+qOV50stX0AVijNfBnYlPVVVe/GYXn1boZQb6Gfj4rlQGdYl23vihX+DbJ2saPlp30TwwHS18GlLuQBB8nF2Z+fxt2W7WHzpvLDIo4EjJoc4kfmYvfHKDcy/Opn8w5jMT34VsQJyF2RoUeHNiIqMS42u+4WpDkToNbvxX088pUB9Duad16mNYh/ppszdBPfemiDvebOOT21NitpFTVE5OkZmnFm7n4BnnCbg8pc5G3dXhUCX+oZB8F1wxHVrFNfdNSxMfJNyn+jhcecD5xfqjpJ/UjHdxEYGsfuqqmodDB37Uos2KXCS5Fs94QbjoFJRZmDZ7E5uOaIe5rUP8WTr4MPG//tF5xStmwDUvgtHP632sJz4xDjekY4ojh6T8EgvfbD/Jwi0n2F5xKGOskBJxpJseGx7M2qev1hovOgMfX+9YrrESxQCXj9eSuV/yO+3z4skaMv8E7F+hKQk4O9xtdBTwD8ViLsUP/XxK9T0UsBiDsJjCsJhC8SvOJBj9Z882tCFy2IOY/PxQjP4U/fo2oSX6Bum8sO5E3jEb/AIrDMyBqF+MR8nU/5ypCQNRHMzXnjiNuIr4fH1iX5bvOs2na4+y7bh+jrjq1HYAUT+8FsVJRJ4aGI4S1Bryj3s3D1ar9jDy3xCXqNn4WqYnvU+Mwd5EjPE6uJr4VFXlr8t288maIwAEmAx8NDWVIZdWGOIdbSJ7jISTaZqOaiWmQBj6JAx+BBSjGBwEoQFQVZUVu7N4OyOGQgAAIABJREFU+dsMjuY6jzyp48X5/pWQmaZfoekbD3xm4ruQDYjHYbaZ2+CLsc5zdzT9v71GPT3QPa4jRvImhTuyNrU3Rq6+J5P6J9AmLJCD2UUcPFPEoZxizC4864P9jLw9uR+Du0ZreRhcyRMZ/bUw9koMftBnIhSchEM/171B89i0+Nw47OyAs+pg226GH1+EDbPca7zpH24LQougxGzl959vYfV+bQ0UEWjg546ziTz6vfOK7VNh3McQ0aEReukxPjEOe8sxJblDJLHhgfyQkVVjXnemm77clsym1rfwXK8zcHAVZOnn9KkiLA7+kFH3uqdrSFcH+8FR0GmItp61WVCPrUcp1492VoOjULrdUNMgvX0uihOvajU2EeX2+RAQqunZGwxsWvxvUtP/rCs7s7Hv3+g/8gEwF4GlhLyPxhJZsEf3HjnhlxP9yM81Drncusetj1Rdr4/EY32kJOuDu8b77cfP8enaI3y99STOrJXB/kaGdI0mLiKIuIhAovfNZ8yJV1z/X9msmgd93hHU+VNRytwz/teL8A4Q3BpObdMv45vrIZ8Yg72JGON1qD3x1ZY7sKmQXaiFcPmbDHx4ZwrDurXRCrsjdQDQ/UYY8QpEdvTSUwhCy6bcauPqf/3CibxS3TJJHSJY/NDg8xdchbcFR8MfDzRl7+gm2zFPqe8G5GhuMRPeW+c6zPb+VNizDDa8VzMxqx7NSVJBPNBbJJ54KIHnBnybXeWWmb+xM7PAZV+C/Y0M796Gq7tH0emn6SSX/FanTFrIUPrc/yGmtE9g43tQ6p6WaDPYtPjcOOzq4Oa96wK5fs9zkL37/MW+k6D0HOz7rm4FifoUhCZFmcXGjK+28mOGFtES5g//6LKbLicWn8+/0mMSyV3jMS57FMwVshGBEXDrf6D7DRex9w7xiXHYm44p1VEUTad7tPoTY50YMz2moRxZPI3grI9xuR51bFYr298YTVJxXb3xtJCh9H18SY18RfUxlHt6j3pJPNY34tXLDHjpR7IK9fdztTFg5x2/f+vq2D9j/ANDuscS5Gcg2N9EkL+RsVvvoWu5/v7uTEQibR76TovMqPhR501BydpZr2dySPsBcO+KutclStSnEWO8DrXDcvVOlRUFPpiSzDU9Y89fdDVZBEfBLe9C9xEN3W1BEGox6B8ryczXD+1TFJgysCPjkxPoHd8K5ePrXUsqtOkBA+7XvDf9Qxq4xxeMz0x8nmxArDY7P2Zk8+WGo1WeXXphtj/Z+nFvyG88GLJK8751l+biGS8IHuCpAd+TzX0lld/F2pqii2zDeGVcohalUl6kbTbWvu36e9n0v4s+Nw7r5SRQsHOXcTlP+83Fn4ok6IHhWnh2r1vlkE8QmhEWm50n5m9n6fZM3TIjesUyc0Q4pkV3w+lqc8Ggh7XE9k1HtsYnxuELMcbfMvM3dp44qys5Y8dA5+gQxiW3Z0y/drSznUb9cgLK2QOuGzcFQcdBENAKdn/tpBMNdHjuqbG4saJEAavFTNqy/xC2e875g6uek0ge+VBNI3nFPeqTC8mje4DPOOW4yodkMihYa2nROltz2jHUaWO8cZXTZL9PWe5nU+RNRIf6Ex0aQHRoAF1OfM1dOa/p1tlzyVQu69xRU8XI3OaGjr0CnYdpuckS+mu5yfzDmru0jU+Mwd5EjPE6VJ/45m86ztOLtupOZK+MS2RCv3baguT4Bi0pa6l+cjPi+8N9PzTSkwhCy8aTzO3d24bxdLtNDN/zV/c8QgLDIelOSL0Pa2g7ti6dRVjGXCIs2Zzzi6Gwx20kjZrucJFktZg9Ku9BHZ+Z+Gociuo8e+ywe1iw9RTzNh2r4QnvLMzWpioYlVpzX6eh0OYy2PSBfoeavjeuIHgdZ9701/dsy33DLuHHjGxW7DrNoRzXevSdooJ55/YkLo0Jw99k0BLcv9YNypyM28YALenrJcMhtg8YDN4cU+tTx+fG4UH/WElWfnGNtXCOGk4gZrobqm0yOw3VvGTD21+8TguCUG9sdpXb3l9XpSHviFfH9WFC3zaw4rka6yY1PoX0sGEEHPzea+OwB+V9YhyuE63v5Pnzy+1sPJzL+kNnWX8ol/2nz+muhVfberHS9Dte6G9HOb0DTqWfj3Zwhn8Y3PalZjT0C2xcj2pPjcVN1SDdBI3eTRV3ZEdH9onjVH4pmefKeHbJDpcStbVx5U0/3fJoHSO+qzp/9nuSSQM7Ex8ZRHxEMMkrxhB0ZrtH/SI0FopOeywd5MUx1dM6PjEGe5MWY4xXFKUtMBtoDRQAU1VV1T32rz7xjX93Nfec+ovDL9t+exylAW3owwGwuJkErTlJHQhCM8fVJB4SYKS43Fb12tnkusHWnfi4eNpnrwL1vL6iqhjIN0QSYaub+DUtZCh9HluMyc+/6prVYib9zTG64Ya1y3tYx2cmviqtYifP/p0tlRmWR7BhBFRCKWVgnJEJxl+47sxs52G1pkDoMwH6/x5iezfZEE1BaGq4601/ILuQW99ZS2G56yRZfkaFLm1C6dmuFU+dfITYAjc3LUGtsXcayvGDu+horuvN1wBjan3q+Nw47GwtDGDFhOma5zXvWBknBaFZM+bdNaQd09dQjgsP5LFruhEbHkjXnB9pt+pJFHORbvmGGoc9LO8T43BtxxS95/9B7c8D5Q+joBJBMeFKEWOMq5lu+qbhJGfAcWSaGJcFL+GpnKKrff8rYy9nZJ84Ssw2Ss02SixWHpu7jf2nz+l60wcF+BEdGkBOYTnF5vM2A0888F1535/ziyHcmoOiOs/LVB21VRzKsKcgPEGTr2kVj9UY6M0x1dM6PjEGe5OWZIz/AnhbVdUNiqKkAE+oqjpZr3z1ie+lvz/Ds9Z3Lmziqk7TD68WBJ/B1ST+xsREVu8/w4ItJ/h5TzZWu+p0cvU3mRjYuphbrN9ybelyQlX9zUflmLHLvy/Frbpo14CQgoP0Nm/XnZB3+idWla9Eq7PNneQ9PjPxVY7DrhIXnVFbYUKllVKCEZt+g9VQwxNQfv+rllCnOrKhEIQGxZPopEpcbVpqewnpcX5M7aszpso47ApX43AlOy99kN63v9L4HRQEocFxJfFYm47Kab7yf4l4pa5TiqO1cCXBHo7DHozB4CPjcHWbhKv1cKnqR5Bi8fwmBj9o2xPa9QVLOeyYp19WokSFRsYTOUVPjffgnvf9hJQEAErNNnKKyrn3s83sPe1GJEkF7njfB1FOX8NBkpT9pBj2McyQjqF2JLcLyvEnAHODjamyFvYuLcIYryhKBDBHVdUbql37H3C7qqoOj/2rT3x7XrqCyyy7HRUDKjaFsX2gwxXQYYCWXOGH5/U7JJOYIDQq7k7iOUXlXPXaKgrKXHtxAgRRxmjjGv5s+pwgxeyt7rtFhl9Pejy7Dnxo4qsch12NwfVCIpQEoVFwtckZn9Ke0AATGacKyDhVSH6pxeWm5TnLPQw0ZDDYsIOhhp0kGM548xHcxpfHYfXD61BO6OdTURMGooijiSD4BPU5RF3k/2eSDW5ojXuRamMw+Mg47IlNwlPUwEiUqf/VcmGZKrxfJUpUaOZ4mgvJGwb852/uQVKHSE6eK+VkXin/XrmfcrPZIy37hf4vkGLYX4//gYuLL66FvUWTVvxvQDoDtVcHhyqub628oCjK/cD9AB06dKgqmGA8C04OmUsCYgh5oFqYht0GJzbqT2J9J3n+BIIg1BuT0cCElISqU209okMDuLRtmNMNSIDJQESwH+VWO+UWI3OtVzODr4nHSZ6IRiDSkn1R799QOBqHI1w8mxUDprhECIqAwAjt373fQ6F+AjLRMxaExmFscnt+2pOtu8l5ZUyfqk2Oqqpk5pcx8q3VzCh5hDF2/U3Lt+pA/mcdCMD6gIeIVfQlFRoLXx6HFRdJdZV8V8nJBEFoLkxMSXC6Fn5oeBd6xrXidH6Z9lNQRru9nhnvvYEvj8Hgej1sxoR/t2u1qM+gSNi9RIvy1LtPm+6aN3x1DEYtMaREiQrNFHf3/ZUYDQozJ/fzyIDvam1716DOGA0K/TpEArBidxZbjuaxwDacBbbhdep0bB3MxP4JnC0yc7bYTG6xmUWHriTFsF/XA/0t62h22zsRp+TSTsklTsnhWkMa/op7ToXewlfG4cagpRjjFTQH9trUuKaq6vvA+6CdQldeD47uCCfqftGq3o+5pOYFmcQEodniagPyt9G9a0zuqqqy9+W2YNE3xu8zXkronV9psydQ/PlkLrXpew/tN3YlZMpXNa4Vfz6JS20Hdevk+cUQq/tu88HROHzOL4ZYS45unf1+l9Hj/p9rXoxLgm9m6N8oacqFd1YQBJd4sslRFIX4iCA6twlly1GL7qYlpWMkCx8chM2uYrHZOfz/2hFr1TfGOx5TZRzWw+F6ODweCpwY3OWAUxB8BleGpj9c172OgWrPS22Js9SVqamkai1ciap6PA636DEY1+vhg37d6DF57vkLbS6r31rYaNKi+CWSX2gheNuA78q+MP2qrnXuPf7dcr47tbVOlKiiaFGiP8Xcw3t3DUBVQa0wax54+0p6WjN07+PpmNqS18KNQUsxxh8Buta6dknFdZcoSVPgxAbdTMaKo4lMJjFBaJa42oCMTappcFAUhcIek8CJhuO53nfSrWO3quubet3ptHxe76lc2ql7jfts6jXVaZ3Cnr4bcVPY4zbPnz1xMuxfLhFKgtAE8HST42rTMiFVa8doUDAajBT1dD4GOx5TZRz2iH5T4Li+TI0ccAqC71AfT1FXa7Xaa2HwfBxu0WMw9VgPy1pYELyGJ2tbT+0LAONTOzFjkX6U6CuDLqFtq8AadU54uB52NabKWti7tAjNeABFURYCL6uqmqYoSh/gSVVV79QrX12fTbTTBKFl4bHWnNXK9jdG62YV7/v4EowmU73Le1jHZ/TZKsfh+vx/AZKMVRCaKZ7qd3p5TK1PHZ8bh2UtLAiCMxpjHPawvE+Mw9VtEvVaD8taWBCaBI2hZS82ieZFSzLGtwc+AkKBfOBuVVWz9MrXMMaDTGSCIDjFajGTtuw/hO2eQ6Qlmzy/GAp7TiJ55EMODcWelvegjs9MfNXH4fr8fwmC0HzxdNPixTG1PnV8chyWtbAgCM5ojHHYg/I+MQ7XtknIelgQWg6eroVBbBLNiRZjjPeUOsZ4QRCE5oHPTHwyDguC0EyRcVgQBOHi4hPjsIzBgiA0U3xiDPYmhovdAUEQBEEQBEEQBEEQBEEQBEHwdcQYLwiCIAiCIAiCIAiCIAiCIAheRozxgiAIgiAIgiAIgiAIgiAIguBlxBgvCIIgCIIgCIIgCIIgCIIgCF5GjPGCIAiCIAiCIAiCIAiCIAiC4GXEGC8IgiAIgiAIgiAIgiAIgiAIXkaM8YIgCIIgCIIgCIIgCIIgCILgZcQYLwiCIAiCIAiCIAiCIAiCIAheRozxgiAIgiAIgiAIgiAIgiAIguBlFFVVL3YfmiSKopwBjuq8HQ3keNCcp+Ubq46v3KM+dVpyv1rys9enTnO7R46qqiM8bKtJ4mQcls+Kd+9RnzotuV8t+dnrU8dX7uGsjozDjmmKf8eL/Vm5mPeoTx1fuUd96rTkfjXHZ/eJcbgZ2iSa42flYtbxlXvUp46v3KM+dVpCv3xiDPYqqqrKj4c/wGZvlm+sOr5yD+lX07uH9Kvp3cOXfuSz0jKfvan2qyU/e1PtV1N9dl/68ZW/Y1P9rLTkfrXkZ2+q/fKlZ/eln6b4d/Slz4qv9EuevWU+e1Pul/xoPyJTIwiCIAiCIAiCIAiCIAiCIAheRozxgiAIgiAIgiAIgiAIgiAIguBlxBhfP973cvnGquMr96hPnZbcr5b87PWp4yv3+P/s3XmYXVWd7//3t6oSMpF5JAEEEmaCgaA0oMSmVdDGHkD4gdoK2tAqaivXqe1u+9rtiMN14NINDS3ggJHBhqsEEQwitIGQQBiSkDBmnskAmapq/f7Yu+qcOqmqVJXZdVJV79fz5Kl99lp7n3UgWVX1Oet8V2/i35X975q+PK6+/Nq7ck1veY6uXtNb9Jb/j/vr35W+PK6+/Nq7ck1veY6uXNOX52DYP/8/9qa/K71lXL72/e+avj4u4QaukiRJkiRJkiQVzpXxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBe2gciIjrRtzYiaiKibl/fW5IkSeqtImJAtccgSX1NU4ZR7XFIvYX/mLRfi4i3RcTdEXFvRBzSTr8p5eF2RPx5RFxe9vhdEfGh/M9lETExP//miPjCPhjqhRFxT0T8KiJ+mf+ZFRHzI+LzFX0vAO4FZpWN75qImFLxms6IiHuB28vOHRkR367o16FQv1JEHBwRv2+jbUz+3/xXEfGudu4xPiJGlj0eEhE/7cp4JPV+PWhOLx9LNP3yERH/GBFvrmg/Jn89P68Y/3daudehETG47PHxEfHVfTleSWpPT5qHI+IX5YtS8uM79nJNXf71mog4rJV252FJVdWT5uEyHwf+szMXRMThEfEfrZx3Hlaf16UQTypaRPwlcA7wGrAgP/3JiBgI3JJSml1xyVXA+WWPd+d/mnwQeE9+/CngrIj4ADCYvfxQ3xEppVuAWyrPR8S7gYH58aHAD4FtwCtAv4j4NTAbaAR2lF33DeAN+cOhETEbuBZ4JO/b1G8w8GJEzAfq87Y6oB/wbyml37Y23oi4GngrsLHi/NHAlcCrwONAA3BmRLwdWJBSqvxm+l7gUeCB/HHlf3dJ6nFzekR8Djir6SFwHDAhf7yrrN/fAIcDD+WPvwz8EljZxq0/TfbaXs0fO2dK6hY9bR7OjQZ+ExG7gQT0B44o7xAR84B1eXsN8Dvg34Cd+blKzsOSqqKHzsNExDuAo4F7I+LDwH+klMoziYOAfweG5Ke+mVL6FVmW4DwstcIwXvullNIvIuJ+4HPAiWQT+UNkE3tDed+IGA6cDBwREceRvWs7AihfldiQUtqW998FvEgWtJwO/Enl80dELXBfG8P786Z7tSYPZ36fUnoeOAq4O39NLwFviYhjgVPJQvl7U0qbIuL/0vLf4z+Thev/B7gvpXRHfu/JFU/XADyYUvrrtsbTmpTSR/P7/aHi/KKIuAz4MFlYPwBYCPzvlNLaVm71FmBLRLxM9kYDwAudGYuk3q+nzekppa/lK9tTSmlXRNzZxrW3k70J+n6ykOgasl86DiYL8cvHUAecAdyZr1z6Ktkce3cb95akfaanzcO59cAlZD8TQ/azcuUnMNemlM5u5dqGyhPOw5KqqafNwxHxfuBNwBPA36WUUkT8KfCfEbEV+GxKaQfwr8CnUkpLI6IfMCsiZlGau8vv6TwsYRiv/duXgDlkk3sd2TegDwDXV/T7J7J3mP8JuCSldHtEnAGUl32p/Ls+Cbif7F3jmZVPnH8znNGRQeYfLZtO9g43wF8DAyPiBWAuMCEipqaUFkTE8WSrdb4CHEgW5Lwlv+5HEXFDSun6lNKOiDgdOJbsG/CvyL5BDQYeLHv62nbGFSml1t6J3pu/IHvn+xJgO/Bm4Btk/+3L7/9+4Grg3cBdKaUz8/OV/38kCXrInF7mLGAc8F9tdUgpbYushM3bgFfy4P43wCCyTzKV+zTwt2Qrly5LKZ0ZEZPyc5LUHXraPHwH2ZudDWRvcNYAv6ro01x2NSL6A+PJFrzUAP8QEbemlH6dd3EellRtPWke/nlK6caKe9wP3B8RdSmlprB9YFmXoPRJ/j3eFMV5WAIM47V/2waMJJvQE1nwXP4D92Dgm2TfJJ6KrJb6jyPi7/Iu5XsizI+I75J9YzgQuAv4U7J3jU/7I8dZBwwFDsjH2VSuZkzeVgc0rSpfDqwGTiBbRTmv6eUAF6WUXs7rYf4D2ar6vyD7hvkT4CKyb6wfL3vuBIyIiPvy1zUCWJKP5Qd07eNp2/LXU0fpI7/NoX8+vo8B/VNKN+ar66+NiH9LKT2Oe1FIal1PmdObNAIN+Zy3vOz89yNiVkrpn/LVPd8n+wVqWET8G1kwfwjw9/nrqgP+BViYUno0sn1EboyIT5GtGHLOlNRdesQ8HBHTyFZL7iArDdY0V9YBAyLiXOC2lNK/k83TvyELfbYCzwE35n2/lFJa7jwsaT/SU+bhk4AvRURlUy2lufjWlNJ3gc8DP4hSHfivppQa85+hm/Zdch6WykTXFs5KxYuIA4DPApcBW8hWJ3676SNckW3KNCal9EjZNWPJ6kaeDhyTUrqurG0c8CGyj3sNBtaQ1Tr/XUppScVzd/qjtBFxDHAp2aryIAvFf5RSeqyi31CyMjQn5KeWAavIPp62Oe9zEDAROJLsm9PQ/L/BIGBo/k2v8vlPBd6RUvrnNsa9h4j4Q0rp1FbOvxe4HDiJrOzCN5rK1OTfZN+SUvp/Zf0HAnUppa0RcWNK6f0dHYOkvqEHzunvJPtl6TaysjMTyT5WOyul9EhEDCALfH6QUnowv+bdZL9kLQSuTCl9LCLGAFNTSveV3XsEWZ3MscCHU0r7epMtSdpDT5mH808c0VSTOF8N+qcppS/l4U4d0FhZ1qHi+T5N9nP4KudhSfuLHjQP9ycL+HeR7cExFXhrSqnDG63mZWj+d0rpQ87DUkuujNd+J/8mkVJKO8nejd0MrEgp3VreL6X0AvBCRJwPvJBSeqwsMN5NxeakwC/IvvF9m2yDkAlkH5PaQhacl9+7Ux/hysPzm8hWrS/I738Y8I2I+H5K6Tdl3a8mW7H+RbJvblPyc/8JbM6ff2VEnAW8j2wz1qZV6v2A/2ljGIlW6rJ14jUEUJtSqk8p/SgingT+NqX0v8r7pJReBf5fRBwBzMjL6mzP22tpe+NCSX1QT5vT8194fkjpl49TgOeBpWSrdhrze+4ALoyI8yNibEppbUrp5/k9DiL/RFRKaR1wXx4mDUsp/TKltCnvF2SflpKkwvS0ebgshP/nlNKXyN7kbJpTExUb/UW26fZbKP1uWw88TD6/Og9LqrYeOA/vAjaUjR/aWb0eER8C5qWU5pWdTmQ/TzsPSxUM47U/eifwuYjYQfbDdAIaI+KDZB+L6g98P6V0W95/PNkGT81SSnPIarFVeqopOAaWRcQc4KB9MOahZN8YHy+7/+KI+D1Z7bZy/fJ+TbuHPxNZffkDK/q9jmyX8ftS2W7lTSKrKf81so/wNuRjGB0Rbyb7RllDtkHslzv4GiYCMyPb/GV3fs+IrF59bT7uh4F/zPsPJFst2iz/Bv/5Dj6fpL6hR83p+S8872itLSJOoWJjVrJVSnMr7rGSrBZoueHA6Ip+y8jK3EhSkXrUPFzm9Py5Hwceb61DRBwKnJFSenvF+RuBY4Bnyk47D0uqlp46D5fr307bOLI8oln+8/BHKvo5D0sYxms/lFK6E7izk5d9OyI2UFoZXgs8mVK6sqzPp4CbI9vhu4YsbH6KrD77HyWltCgifkq2K3jT8zcAf6DljucAV+bjHUmpRtx/p5SequhXRxbmfDq/Z2Pe/6WU0odSSg+R7W7eqvwd5j2KvFWM+9Sy4+V0vrbc+/N3t+vLxleXUjqrk/eR1Ev1xDm9HTW0Pq/+Z0RszcdQQ/6JppTSORX9PhsR76H0umqA9Sml9xQ1YEnqwfPwgZHVg2+ktI9RHfDplNJcgJTSSxExLyJmU/qUaJDty7S4lXs6D0vqdj14Hm7StJF2W1I+3sqV+xtTShdUnHMeVp9nzXhpP5V/lK1ptbkkaT+Ul+/yhylJ2scioqby06F5PfnkvCtJ+488u4iUUpfL5kp9iWG8JEmSJEmSJEkFa3MDBkmSJEmSJEmStG8YxkuSJEmSJEmSVDA3cG3D2WefnWbNmlXtYUhSZ7W7aW9P4jwsqYdyHpak6uoV87BzsKQeqlfMwUVyZXwb1q9fX+0hSFKf5jwsSdXlPCxJ1eMcLEm9U7eF8RHx+Yj4u7LHR0XEAxHxSETcFhFDytr+JCLmRMSjEXFdRNSVtb0rIubmf75c8RyXRcRjETEvIj5a0fbF/Jp5EXFeka9VkiRJkiRJkqRyhYfxETExIv4AfKqi6bvAJSmlNwA3AV/M+/cDvg68I6V0CvAUcHneNhr4JHBGSmk6MCgi3pm3HQucA0wHTgZmRMTxeds5wKj8mtOAj+T3kiRJkiRJkiSpcIWH8SmlFSmlU4FPN52LiBOAl1NKz+d9/pssJAc4G5iVUtqQP74GOD8/vgi4LqW0I3/8deDS/PiDwFUpB3wLuCRv+xDwtfy5dgDX5feSJEmSJEmSJKlw1aoZPxlYXHFuY0SMqGxLKe0C+rV2XUppNTCujXsuyc8BjEsprWyjrVle5mZuRMxdt25dp1+UJOmP4zwsSdXlPCxJ1eMcLEm9X7XC+ABSK+dTG21Nj7va1po92lJK16aUpqeUpo8ZM6adSyVJRXAelqTqch6WpOpxDpak3q9aYfzzwJEV50allF6pbIuI/kB9a9dFxARgTRv3PBJYmh+vj4jxbbRJkiRJkiRJklSoqoTxKaXHgSMj4lCAiDgbeDBvngWcm5esgawm/Mz8+Bbg8jygB/gEcH1+fBNwZeSAK4Ab8rYbyWvW59f+DfDTIl6bJEmSJEmSJEmV6qr43J8AfpQH5yvIN2JNKe2IiC8AsyKiHngC+FjetjoirgEeyttmpZTuztvmRcSDwCNAA3BDSumZvO2OiHhDRMwhK0/zlbINYiVJkiRJkiRJKlS3hfEppR9WPH4SeFMbfWcDb2yjbSallfKVbd8DvtdG2+c7PlpJkiRJkiRJkvadatWMlyRJkiRJkiSpzzCMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklTsabzFAAAgAElEQVQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklSwqobxEXFIRPwyImZHxCMR8Vf5+T+JiDkR8WhEXBcRdWXXvCsi5uZ/vlxxv8si4rGImBcRH61o+2J+zbyIOK97XqEkSZIkSZIkSdVfGf8N4MsppRnAOcDXI6If8HXgHSmlU4CngMsBImI08EngjJTSdGBQRLwzbzs2v8d04GRgRkQcn7edA4zKrzkN+Eh+L0mSJEmSJEmSClftML4WWJ4fbwOeB84GZqWUNuTnrwHOz48vAq5LKe3IH38duDQ//iBwVcoB3wIuyds+BHwNIL/2uvxeLeQr6+dGxNx169bto5coSeoo52FJqi7nYUmqHudgSer9qh3Gfwb4TkR8ErgV+BQwGVjc1CGltAvolz+sbFsNjGutDViSnwMYl1Ja2UZbs5TStSml6Sml6WPGjPljXpckqQuchyWpupyHJal6nIMlqfer23uXQr0HmAXcDDwIfBV4BEgV/ZoeRxfbWtNemyRJkiRJkiRJ+0zVVsZHxDHA4Sml61JKO1JKc4FbyN4gOLKsX3+gPn/4fEXbBGBNa2358dL8eH1EjG+jTZIkSZIkSZKkQlWzTM0W4ISIOBAgIg4ALgBmA+dGxIi836XAzPz4FuDyPKAH+ARwfX58E3Bl5IArgBvythuBT+fP0x/4G+CnBb0uSZIkSZIkSZJaqFqZmpTSioj4CjArInaRvTHwnymlByLiC/n5euAJ4GP5Nasj4hrgobxtVkrp7rxtXkQ8SFbmpgG4IaX0TN52R0S8ISLmkJWn+UrZBrGSJEmSJEmSJBWqqjXjU0p3AHe0cn428MY2rplJaaV8Zdv3gO+10fb5Lg9UkiRJkiRJkqQ/QjXL1EiSJEmSJEmS1CcYxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwQzjJUmSJEmSJEkqmGG8JEmSJEmSJEkFM4yXJEmSJEmSJKlghvGSJEmSJEmSJBXMMF6SJEmSJEmSpIIZxkuSJEmSJEmSVDDDeEmSJEmSJEmSCmYYL0mSJEmSJElSwaoaxkdETUR8LSJ+HxEPRMRn8/N/EhFzIuLRiLguIurKrnlXRMzN/3y54n6XRcRjETEvIj5a0fbF/Jp5EXFe97xCSZIkSZIkSZKqvzL+c8CmlNIZKaUzgZkR0Q/4OvCOlNIpwFPA5QARMRr4JHBGSmk6MCgi3pm3HQucA0wHTgZmRMTxeds5wKj8mtOAj+T3kiRJkiRJkiSpcFUL4yOiP/DXwDeazqWUXgDOBmallDbkp68Bzs+PLwKuSyntyB9/Hbg0P/4gcFXKAd8CLsnbPgR8LX+OHcB1+b0kSZIkSZIkSSpcNVfGHwYsAK6IiPvzP38GTAYWN3VKKe0C+uUPK9tWA+NaawOW5OcAxqWUVrbR1iwvczM3IuauW7fuj3pxkqTOcx6WpOpyHpak6nEOlqTer5ph/BDgrcDqlNKfAv8fcFU+plTRt+lxdLGtNXu0pZSuTSlNTylNHzNmzN5fgSRpn3IelqTqch6WpOpxDpak3q+aYfxzwMKU0s8BUkprgYfIQvUjmzrl5Wzq84fPV7RNANa01pYfL82P10fE+DbaJEmSJEmSJEkqVNXC+JTSK8DqiDgbICKGACcB/wGcGxEj8q6XAjPz41uAy/OAHuATwPX58U3AlZEDrgBuyNtuBD6dP09/4G+Anxb12iRJkiRJkiRJKldX5ef/OPD9iPhc/vgfU0pbI+ILwKyIqAeeAD4GWY34iLgGeChvm5VSujtvmxcRDwKPAA3ADSmlZ/K2OyLiDRExh6w8zVfKNoiVJEmSJEmSJKlQVQ3j89Xx72vl/GzgjW1cM5PSSvnKtu8B32uj7fNdHqgkSZIkSZIkSX+EataMlyRJkiRJkiSpTzCMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYIbxkiRJkiRJkiQVzDBekiRJkiRJkqSCGcZLkiRJkiRJklQww3hJkiRJkiRJkgpmGC9JkiRJkiRJUsEM4yVJkiRJkiRJKphhvCRJkiRJkiRJBTOMlyRJkiRJkiSpYJ0O4yPi/CIGIkmSJEmSJElSb9XhMD4ivhQRtcDHCxyPJEmSJEmSJEm9TmdWxk9MKTUAO4sajCRJkiRJkiRJvVGHwvi8NM0v84e7ixuOJEmSJEmSJEm9T93eOkTEF4GNKaXv56caIuJCsiC/P1CTUvqvAscoSZIkSZIkSVKP1m4Yn9eIHwo0VjTtBgLYBdQXMzRJkiRJkiRJknqHdsP4vEb8lRFxaURcmFL6Wd50Z0rJEF6SJEmSJEmSpA7oUM34lNINwFvLTvUvZjiSJEmSJEmSJPU+HQrjc09HxKD82DBekiRJkiRJkqQO2usGrk1SSt8BiIirge2FjUiSJEmSJEmSpF6mw2F8k5TSrCIGIkmSJEmSJElSb7XXMD4iPgO0tllrHfAD4FsppQ/v64FJkiRJkiRJktRbdGRl/BxgF9CYPx4IfBP4e7KQ/vBihiZJkiRJkiRJUu+w1w1cU0oPAKuAl1JKc4BTgA0ppd+nlHaRBfWSJEmSJEmSJKkNHSlT8wngZGBiRHwV2AFcUdYlFTQ2SZIkSZIkSZJ6hY6UqXlXSumsiJgAfB94DpgWEYNSSk908B6SJEmSJEmSJPVZey1TA0T+dXt+PBDol/+RJEmSJEmSJEl70ZEw/pGI+BJwLXADsDql9GPgLRFxF3BIRES7d5AkSZIkSZIkqQ/ba4mZlNLnIuLNwM9TSk9GxEn5+auAq4oeoCRJvUpDPTzxU5h/M2xeAcMmwrT3wesvhpraao9OkiRJkiQVpEP13lNKvyt7+I2CxiJJUu/WUA+3fgAW3lU6t2U5LJsDS+6B838ItW7FIkmSJElSb7TX3/gj4nNAY9mpmoioAepTSt+IiP+TUvr7wkYoSVJv8cRPWwbx5RbeBQtugWnv7d4xSZIkSZKkbtGR5XdzgAagPv8aZLXmG/L2Y4sZmiRJvcz8m9tvn3ezYbwkSZIkSb1UR2rG/7Y7BiJJUq+3ecVe2pd3zzgkSZIkSVK361Bh2oiYDnyJbDX8P6WUHi90VJIk9UbDJmY14ttsn9R9Y1G3qm9o5PZ5K/jZ3GWsemU7E4YP5MLpB3PeyZOorYlqD0+SJEmS1A06ukvcvwHn5f1vAc4pa0v7elCSJPVK096XbdbalpPe131jUbepb2jkip/MZ9bTq5vPrdy8g8de2sT9i9byg4unUVdbU8URSpIkSZK6Q0d/8+uXUno1pbQZ6AcQEeMj4lBgcL6hqyRJas/rL4aj/7z1tmPOhRMv6t7xqFvcPm9FiyC+3KynV3P7/L2UL5IkSZIk9QodDdF3R8SIiBhFtpErwAeBLwBPFzIySZJ6m5paeOu/VpwMOPe78O4bs3b1Oj+bu6zd9pmPtt8uSZIkSeodOlqm5pPAdcABwGcBUkpfLmpQkiT1WpteqDiR4KBpBvG92KpXtrfbvnIv7ZIkSZKk3qFDYXxKaSFwfsFjkSSp99vw3J7nVi2ACSd2/1jULSYMH8jKzTvabD9o+MBuHI0kSZIkqVqs9S5JUnfasHTPc6ue6P5xqNtcOP3gdtsvOKX9dkmSJElS72AYL0lSd2oK46MGavtnx6sXVG88Ktx5J0/i1MNGttp29nHjOe+kSd08IkmSJElSNRjGS5LUnZrC+OGHwLjjsuPVT0FjQ/XGpELV1gSntBLG/8u7juXq95xEbU1UYVSSJEmSpO5mGC9JUnep3wmbl2XHI4+A8VOz492vwsbnqzcuFe53S9bvce6EicMM4iVJkiSpDzGMlySpu2x6EVJjdjxqMkyYWmqzbnyvtWHbThYsfwWAurLwfcmabdUakiRJkiSpCgzjJUnqLuWbt46aDONPLD22bnyv9ful60kpO37XiQc1n1+y1jBekiRJkvqS/SKMj4g3RcSKssdHRcQDEfFIRNwWEUPK2v4kIuZExKMRcV1E1JW1vSsi5uZ/vlzxHJdFxGMRMS8iPto9r0ySpDItwvgjsprxkX8rXmUY31vNXryu+fiS0w+jaXG8YbwkSZIk9S1VD+MjYhjwMWBV2envApeklN4A3AR8Me/bD/g68I6U0inAU8Dledto4JPAGSml6cCgiHhn3nYscA4wHTgZmBERx3fDy5MkqaRyZXz/QTBqSvZ49QKal0+r12hsTPzu2SyMnzBsAMdPHMohIwcBsHTN1moOTZIkSZLUzaoexgNXAV8A6gEi4gTg5ZTS8wAppf8GTsv7ng3MSiltyB9fA5yfH18EXJdS2pE//jpwaX78QeCqlAO+BVxSOZB89fzciJi7bt26ymZJUsF6/Ty84bnsa+0BMGxSdtxUN/61DbBlZXXGpcI8uWIzG17dBcCMo8YQEUweeyAAKzfvYOuO3dUcnrSHXj8PS9J+zDlYknq/qobxEXEx8FhKaUnZ6cnA4oquGyNiRGVbSmkX0K+161JKq4FxbdxzSX6uhZTStSml6Sml6WPGjOnai5IkdVmvn4ebVsaPPBxqarPj8WWbuFo3vtd54NnSL9JnHpn9nZ4yrrn6Hs+te7XbxyS1p9fPw5K0H3MOlqTer2phfEQcApyTUvqPyiagtc/ppzbamh53tU2SpOLt3Arb1mTHo44onZ9QFsZbN77Xmb14LQB1NcHpk0cDMGVsKYxfYqkaSZIkSeozqrky/i+BIyNidkTMBo7Nv74EHFnRd1RK6RXg+fK2iOhPXt6mlbYJwJrW2vLjssK9kiQVrKlEDbQM410Z32u98touHl/2CgAnHzqCAwdkH+abkpepAVi6zk1cJUmSJKmvqFoYn1L6XkrpjSmlGSmlGcAz+fFjZCH9oQARcTbwYH7ZLODcvGQNZDXhZ+bHtwCX5wE9wCeA6/Pjm4ArIwdcAdxQ5OuTJKmFys1bmwwaCcMOzo5dGd+r/G7Jehrzz+HNOGps8/kjxg5uPl66xjBekiRJkvqKumoPoA2fAH6UB+cryDdiTSntiIgvALMioh54AvhY3rY6Iq4BHsrbZqWU7s7b5kXEg8AjQANwQ0rpmW5/VZKkvqvFyviKbUvGT4XNy2Dzy/DaxiygV4/3wOI968UDDOpfx6QRA1m+aTtL1hrGS5IkSVJfsd+E8SmlU8uOnwTe1Ea/2cAb22ibSWmlfGXb94Dv/dEDlSSpK9paGQ8w4URY/MvsePWTcPiZ3TcuFaKxMTVv3jpu6AEcM+HAFu1Txg5h+abtLNv0Gtt3NTCwf201hilJkiRJ6kbVrBkvSVLf0RTGHzAUBo9p2dZiE9cnum9MKswzq7awfttOIFsVn33Yr2RyvolrSvCcdeMlSZIkqU8wjJckqWgplcrUjDoCKoJZN3HtfWYvXtt8XF4vvkmLTVwtVSNJkiRJfYJhvCRJRXttA+zcnB1XlqgBGHoQDBqVHbuJa6/QVKKmtiY4ffLoPdonjxvSfLxk7dZuG5ckSZIkqXoM4yVJKlp5vfiRR+zZHlFaHb9hCex6rXvGpUJs3r6beS+/AsBJhwxn2MB+e/RpKlMDsGSNK+MlSZIkqS8wjJckqWjtbd7apKlufGqENU8XPyYV5vdL1tPQmIDWS9QADB3Qj/FDBwCw1JrxkiRJktQnGMZLklS0FmF8KyvjoaJuvJu49mTl9eLPPHJMm/2m5KVqXtrwGjvrGwoflyRJkiSpugzjJUkqWkfC+Aknlo6tG99jpZSa68WPHnIAx04Y2mbfplI1DY2JF9dbmkiSJEmSeru6ag9AkqSeqr6hkdvnreBnc5ex6pXtTBg+kAunH8x5J0+itiZKHTc8l30dPBYGDGv9ZiOPgH6DYfersNowvqdauGora7fuBLJV8TXlfw8qTBl7YPPxkrVbOWr8gW32lSRJkiT1fIbxkiR1QX1DI1f8ZD6znl7dfG7l5h089tIm7l+0lh9cPI262hpobISNz2cd2qoXD1BTA+OPh2VzYM0z0LAbavfc+FP7t9nPlkrUzDiq7RI14CaukiRJktTXWKZGkqQuuH3eihZBfLlZT6/m9vkrsgdbVkD9juy4rRI1TZrqxjfshPXP7qORqjvNXpyVqKkJeNOU0e32nVIWxi9daxgvSZIkSb2dYbwkSV3ws7nL2m2f+Wje3pF68U2sG9+jbdmxm3kvbQLg9QcPZ/ig/u32HzG4P6OHZH2WrN1a+PgkSZIkSdVlGC9JUhesemV7u+0vbXg1O2gRxrdTpgZgwtTSsXXje5yHl66nvjEBMOOosR26pqlUzQvrX6W+obGwsUmSJEmSqs8wXpKkLpgwfGC77eu27eKf//spdq5ZUjq5tzB+zDFQk9eJd2V8j9NUogZaqRffUA/zbobr3wbfPi77Ou9mjhwzCIDdDYmXNr7WncOVJEmSJHUzN3CVJKkLLpx+MI/lJUnactP/vMTbBjzCGUAiiBGHtX/Tuv4w9mhY/WT2JyWI2HeDVmFSSs1h/KjB/Tn+oGGlxoZ6uPUDsPCu0rkty2HZHD449ix+zAdooJYla7ZxxJghSCpQQz088VOYfzNsXgHDJsK098HrL4aa2mqPTpIkSb2cYbwkSV1w3smTuH/R2lY3cT3+oKGs2ryDDa/uYlLjSqiBtTVjWb16B8cd1J/b563gZ3OXseqV7UwYPpALpx/MeSdPorYmYPyJWRC/czNsehFG7iXA137h2TXbWL0l26j3zUeOoaam7E2UJ37aMogvc+ja+/jr2iP4ecMMlq7dCozvhtFKfVQ7b4yx5B44/4dQ669HkiRJKo4/bUqS1AW1NcF3LjyRe/9lDQ2Nif61wdRJw7nglIM576RJbNtZz/d+/TQHz1sLwOLdY3n//32IicMHsnxTqd78ys07eOylTdy/aC0/uHgadROmwuN546onDON7iNmL1zYf71GiZv7N7V57Qe1sft4wgyVrtxUxNElN2nljjIV3wYJbYNp7u3dMkiRJ6lOsGS9JUhe9vHE7DfmGnRe94RBu/fBpXDD9YGprgmED+/FPpw+mNrL259MEUqJFEF9u1tOruX3+ChjvJq49UVOJmgh405SKMH7zinavnVSzHoAlawzjpULt5Y0x5u2lXZIkSfojGcZLktRFi1ZvaT4+esLQPTtsWNp8ePK0k+lX237995mPLoPxxwN5Pzdx7RG27axn7ksbAZg6aTgjB/dv2WHYxHavH85rTIslPLduW/ObO5IKsJc3xti8vHvGIUmSpD7LMF6SpC5auGpr8/HR4w/cs0NZGH/C1OmMqgxpK6x8ZTsccCCMPDw74cr4HuHhpevZ3ZCF6DOOHLNnh2nva/f6gezgjgO+yL9yDStXvFzEECXBXt8YY9ik7hmHJEmS+izDeEmSuqhpZXwEHLWXMJ5RRzBxxKB273fQ8IHZwYS8VM22NbB1zb4Yqgo0+9l1zcd71IsHeP3FMPyQ1i8eNLr58IK6Bxh/0xnwyHXQ2LCvhylpL2+McdJe2tWj1Tc0MvPRZZx3zcOc9tX7OO+ah5n56DI/kSRJkrqVYbwkSV20cFUWxr9u1GAG9W9lT/QNz2Vfa/rB8EO4cPrB7d7vglPyduvG9xgpJR7I68WPGNSPqZOG79mpsR52bM6Oa/rBgRPh4FPhL66GKxez8PTvsiqNBKDf7i3wq/8F154JLz6c1bC+/m3w7eOyr/NuNqiXuur1F8Mx57beNn4qnHhR945H3aa+oZErfjKfz9y2gMde2tS8efpnblvAR388j/qGxmoPUZIk9RGG8ZIkdcHGV3exZstOoI0SNVBaGT/ycKip5byTJ3H2ceNb7Xr2ceM576S8RMKEsjB+1RP7asgqwNK121jxSrYp75umjKG2ppV9AZbcWwrj33AZXPkMfPAemPZeqK1j+Bsu5Kyd3+Tf68+lgdqs3+on4YfnwJ1XwLI5sGV59vXOK+Dn74eG+m56hVIvUlML5/8Qhh6Unyj797rr1WqMSN3k9nkrmPX06lbbmjdQlyRJ6gaG8ZIkdUGLzVvHt7J5685tsHVVdjxqMgC1NcEPLp7GN86fypHjhjR3Pe2IUVz9npNKQe74E0v3cWX8fm324r2UqAFY8LPS8dR379E8fugAag4YwtfqL+Jjw6+Gw2e0/6QL74IFt3R+sJKgfgdszUPZw8+E48/Ljjc+BwvvrN64VKifzV3WbvvMR9tvlyRJ2lcM4yVJ6oJF5Zu3TmhlZfzG50vHo45oPqyrreGC6Qfzq4+/iRGD+gHw3LpttFhPPWQMHJiv3FxlGL8/e6CsXvybW9u8dcdmePae7HjUFJjw+j26RASTx2ZvzszeOIL03jua38Bp07ybuzxmqU9bOR9SXpJk0ilw+t+X2h78NiTrh/dGq/JPMLVl5V7aJUmS9hXDeEmSuqB8Zfwxra2Mr9i8tVJdbQ1vPXYcAGu27OTx5a+07NBUqmbTC6USJ9ovNG0C+JdXP8Tvl64HYNKIgYwY1H/Pzs/cCQ1ZOSOmXpDt9tuKpjD+tV0NrNyyE3bvaH8Qm5d3efxSn7b80dLxxOnZXDv5rdnj1QvgufurMy4VakLTBultOGgv7ZIkSfuKYbwkSV2wMF8ZP+SAOiaNaOWX+KbNW6HNVc5nH1+qH3/PUxW1bFts4vpUl8epfat8E8DHl5XeQFm+aXvrmwA+ObN0fML5bd53ythS2aIla7bCsIntD2TYpE6NW1JuxWOl40nTs69nfLJ07vff6d7xqFucMXl0u+3NG6hLkiQVzDBekqROqm9o5Nk1WRh/1PgDqWlt084WK+NbD+NPO2I0Qw6oA7IN5FJ5eYTyTVytG7/f6NQmgFtWwgsPZseTTsk28m3DlLI9BJau3QbT3tf+QE7aS7ukPaVUWhk/4nUwOA9oDz0NDn5jdvzig7Ds0VYvV8/12Eub2mxrsYG6JElSwQzjJUnqpBc3vMbO+mwF9NHjW6kXD6Uwvv8QGDKu1S4D+tU2b/r50obXWLS6VIe+xcp468bvNzq1CeBTtwH5GyxTL2z3uiljS3+PlqzZBq+/GI45t/XOx5wLJ17UkeFKKrd5OWxbkx1PnF46HwFnfKr02NXxvcrvnl3XXFLsoOEDOGRk6dNsf/n6g1puoC5JklQww3hJkjqpvF780RNaqRefEmxYkh2POqLNOuHQslTNrPJSNcMPgQHDs2NXxu83OrUJ4IK8RE3UwnF/1e51E4cPZEC/7Meypeu2QU0tnP9D+IurYfRRpY5T3g7vvjFrl9Q55fXiJ53Ssm3K22Dssdnx4l/C2oXdNy4VpqEx8dW7FzU/vur8E5l5+WnNj9dv22UQL0mSupVhvCRJnbRoVWkF+7ETWlkZ/9rG0qarbZSoaTLjqLH0r8u+Hd9TXv4kAsafkB2vW7T3DT3VLTq8CeC6xaU3USafVSqH0YaammjexHXJmq1ZyaLaOpj2XrhsNtQNyDpuXm4QL3VVa/Xim9TUtKwd/9B3u2dMKtQv5q9g4arsDfQzjxzD6ZNHM37YAE48OHuz+w/Pb2Dza7urOURJktTHGMZLktRJTaYLJKoAACAASURBVL/YAxw5rpUwfuPeN29tMuSAOt48JQtqF63eyovrXy01Tjgx+9pYD2uf6fJ4te9cOL39Tf6aNwFcUL5x6wUdundTqZotO+pZt3VnqaH/IDjszOx47dPwyssdHq+kMk0r42v7l97sLHfcX2efSgJ48uf+W+vhduxu4Fu/Xgxk729/7u2TYd7NcP3b+NGWS7i1/7/wV/FbfrtoVZVHKkmS+hLDeEmSOqmptvvBIwdy4IB+e3bowOat5d5+XKlUTYvV8ePdxHV/c+ZRY9osadC8CWBK8GQexvcbDEe/o0P3bloZD7Bk7baWjUedXTp+9p5OjVkSUL8LVj2RHY+fCnUH7Nmntg5O+3h23FgPD3+/+8anfe6HD7/Iys3Zp8rePW08x/z+43DnFbBsDgfuXMP0mme5qt+1HHrfR6ChvsqjlSRJfYVhvCRJnbB5+25W5HXBjx7fSr14aBnGjzxir/f8s2PGNQe8s8rD+Alu4rq/+fcHnqOhMduUdcKwARw0bADTDx3BN86fWtoEcNmc0orao98J/Qd36N4twvg1W1s2Tnl76fjZWX/Ua5D6pDVPQX1e7quyXny5ae+FwdnG2sy7CbatK35s2uc2vbqLq3+bfS8+oK6Gz098HBbetUe/lGDaqw+ye/5PunuIkiSpjzKMlySpExavLoWkx4xvpUQNVKyMP3yv9xwxuD+nHj4SgPkvv8LqfCUfo6ZAXV6D3JXxVbds42v8+A9ZyD5qcH/u/dSZPPz5s7j1w6dxwfSDSyvmy0vUTO1YiRqAKe2tjB82sfRJiRd+Bzsr2iW1r7168eX6DYRTP5wd1++AOf9e7LhUiB/8dilbd2Sr3S894zBGLPpZq/2a9ld/9Q8/7KaRSZKkvs4wXpKkTiivF3/MhLZWxuc14weNhoEjOnTf8lI1v34mXx1fWwfjjsuO1zwNjQ2dHq/2ne/c+yy7GhoBuOJPJzPkgLo9OzXshqfvyI4HjYbD39Lh+x8ychD9a7MfzfYI4wGOzEvVNOyC52d3ZuiSmurFQ/thPMApH4ID8vn90etgx5b2+2u/smzja9z0Py8CMGJQPz484wjYvKL9izYvK3xckiRJYBgvSVKnLFpdCmWObi2Mb2wshfEdqBff5G3HlsL4WU+1Uqpm92stV9yrWy1ctYU7Hs/CnEkjBnLxGw9pvePS+2D7xuz4+POyN1Q6qK62hsPHZCVtlrYWxreoG393h+8rCVg+N/s6aDQMP7T9vgOGwfRLs+Mdm+Gx/yp2bNqnrrpnMbsbsnJiHz9rCkMH9IOhE9q95sXdI2nMS5BJkiQVyTBekqROWLgqK1MzsF8th4wctGeHrSuhPqsp35kwfvywAUw7ZDgAc17YyKZXd+UN1o3fH3zznsWkPKf51FuP5IC62tY7Ptm1EjVNmurGb3x1Fxu27WzZOGEaDBmXHT/76+yNH0l799pG2Ji/STrplFJtkvac+hGozTd5/Z+rYfeO4sanfWbB8le484mVQPZpo/e8MX/jZdikdq+btftE5i97pejhSZIkGcZLktRRjY2puWb8keMPLNUIL9e0Kh5g1N43by13dl6qpqEx8ZuFa7KT5Zu4rn6iU/fTvvHoixu5b9FaAI4efyB/8fqJrXfcuRUW/So7HnEYTDy50881ZWxpH4I9VsfX1MCUt2XHr66FlfM7fX+pT2pRL76D/y4PHAfT3pMdb1sDT/x0349L+1RKia/8amHz48+cfRT962pg+yZ47rftXntx7f089PhTRQ9RkiTJMF6SpI56eeNrbN+d1W3v2OatHV8ZDy3rxt/zdF6qZuxxEPkqbFfGd7uUEl+7e1Hz48+cfVTrb8IALPpl6VMRUy/o2OrbClPGtbOJK5TqxgM8O6vT95f6pKYSNUDDQdOZ+egyzrvmYU776n2cd83DzHx0GQ2tlSg57eMQ+a9LD30XGuq7acDqitmL1/GH57MyYSdOGsY7T8hL0/zum7AjX/U++c/g4FNh6CSY+AYaR2bfpw+pWcc7n7iCtH1TNYYuSZL6EMN4SZI6qFObt0KnV8a/bvRgjs5D/t8tWc+2nfXQbwCMOSrrsHoBzbVS1C1+s3Atj72UhTOnvG4EbzlqbNudF5SVqDmh8yVqAKaMLYXxrdaNP3xGqXSGdeOljsk3b00EVz5Uy2duW8BjL21i5eYdPPbSJj5z2wI++uN51DdUlH4aeVi29wPAphfgmV9088DVUQ2Nia/eXVoV//l3HENEwKYX4ZFrs5MDR8B518MH74FPPQ1/ey81l93Psv7Z9+ojGl9kx00Xwu7tVXgFkiSprzCMl/qA+obGjq8Ck9SmhXmJGqA5NN9D+cr4kYd3+jnOPj5bHb+rvpHZi9dmKzH75wHt9k1w7QyYdzM0NnT63uqchsbEVfeUVsV/7pyjs3CnNdvWwvN5GYSDpsHozn0qosmhowY3r7xfsnbrnh0OGAKHvSk7Xv0kbF7RpeeR+ozGxuYyNVuGHMEvFrby7wqY9fRqbp/fyr+n0/++dHznx+Bbx8L1b3Me3s/c9thynl2TvYH5Z8eM5dTDR2UN9/0rNOR7sLz5MzBweMsLBwzjqbfcwEuN2RutA1fNgVsv9VMQkiSpMIbxUi9X39DIFT+Z3/FVYJLatKhsZfzR49taGZ+H8cMOhn4DO/0c5aVqfv3kCrj1A7D8kVKHVY/DnVfAz99vWFCwO+avKAt3xnHyoSPb7vzUbZDy+bSLq+IB+tfV8LpR2cbAS9a0sjIeLFUjdcbG55pLlMytb/8N0pmPLtvz5JijYUj+iZjdr8HWFbBsjvPwfmT7rga+de9iAGoCPnv20VnDinnw1K3Z8YjXwSkfavX60048jkvq/4F1aVh2YvGv4K5P+Ek0SZJUCMN4qZe7fd4KZjXVnq7Q5iowSa1alK+MP2jYAIYN6rdnh4bd2UfiodMlapocPf5ADs3D2KGLb4WFd7XeceFdsOCWLj2H9m7H7ga+c++z8P+zd97hUVXpH//cKekhjfSE3jsh9CKKKBYURUAFe1sR2+5vXXVdu7uurr1gb6B0lKKAqIBUKSlAIHQhpBBI75lyf3+cmcwkmZkU0nM+z5OHe+eee88Zkjlz7/e87/dFWL8/MaW36xOsFjWKxmZrUU+sRVwzC8rIKzZUb9DrStv20Q0X1ZdE0uax84vfY3Q9L6flOrAnSVwkMl8cIefhZsM+63PEK79wLr8MgBmx0fQM9RVC+s//sp0w6TnQuTm8lp+Xnohu/bij/B/kq5ZF9ISF8Mtzjf02JBKJRCKRtEOkGC+RtHGW7HUQ5WWHwygwiURSjcIyI2eyiwEXfvE5p0G12BbUsXirFUVRmGKJjp/Gb64bxy2oVx+Smlm46zSpFmHuxqFR9Ap1YksEok5AWpzY7jYRfEMvqm/7Iq7Hzzuw1PDvBKEDxPapLVBefFH9SSRtGotfPEBGhwEum0b4O8hmiq9hnpXzcJNTNeuzoMyWnXAur1RkfR5dD6e3iRcjY6H/DS6vOblfKIfULtxX/n+YNBbRfvs7sPQOYUv0Zn9pTySRSCQSiaRBkGJ8e8NkFDeR8qay3ZDuKMrLDodRYBKJpBpHMuwsasKdCLPZ9sVb6yfGA1xp8Y0PV7JcN8w7W+8+JM4pKDXwwSZhN+Sm1fD45J6uT2iAwq329KipiCvYouONpUKQl0gkjkkVkfGq3pvDhgiXTWcOj67+Yk11GeQ83OS4yvrcfPQ83+87DRuftb14xcsixckFk/uJRdQ/1L68F/i0yHICUbQ35Q/IPyvtiSQSiUQikTQIUoxvT5iMwnt49Tx5U9mOCHcU5WWHwygwiURSjcPp9sVba/CLh4sS44dE+RPawZ10Nch1Q7+oevchcc6nv58kx2IPc9vozkQFeDlvrKpwwCLG6zyh77UX3b/VpgZc+cZfZds+su6i+5RI2iTlxZBxEIAkpTtHzjsPQOgV4sP0GAdzql+k6z7kPNzk1JT1mb31c7ggbMbocy10Hl3jNSP8PRkYKTzjP0jvTXl/Fwur0p5IIpFIJBLJRSDF+PZE4iLpPdwOmTHM9UOiwygwiURSjWS7yPi+ziLj7cX4QNeFAl2h0Shc2T+MJaaJADgtIRdzW737kDjmfEEZn207BYCPu46HLq1hUSU1DrJPiu3eV4G7CzubWtIt2BuNJYjzmLPI+MgY8Oooto9ukIUGJRJHpCdWWIf9XtwFgBBfd/7vil7Edg4g1Ne9ImA6u7gcg6Oi9kNrmGflPNzkuMr69KaEmwos1kGKFi5/vtbXvcISHW8wqRSmHXHdWNoTSSQSiUQiqSdSjG9PSM/LdklxuXMLorHdgxxHgUkkkmokWyLj3XQaugR5O25kFeM1OvDvfFH9TekfxgrTBNaZhuMwud4zEAbdfFF9SKrz/m/HKubN+yd0I9DbccG/Cg7YWdQMuniLGgAPvZZOgSIa36lNjUZrs6opzID0hAbpWyJpS5Sc2lWxnWDuToSfB0sfGM28y3qy/MEx/PHPy7l9lJirLxSWs8xRxPWQW6HvVMcd9L4aBt/SGEOXuCDMz8Ppsft1PxJErtiJvQs61mAzZscVlnotAORLeyKJRCKRSCSNgxTj2xPS87LdkZFXypsbRZquVlHoH9GBAE99xfGBUX5oNa49NCUSCZjNKskZQozvHeqLTuvk6zPL4hkf0BW0uovqc0TXQDp4uTPP8AgvaR9CjR4FvpHgZvETL8mG4xsvqg+JwGgys3RPCte+u5Wvd54GRFT8nWO6OD7BWn/ls8mw+xPxmt5LFG9tIKy+8am5JRSWObGRs4rxIKLjJRJJBVmFZezdbpsjM/0GsOSB0XTpWHkx9b4J3dBZ7oU+/v1k9eh4jRZu+gqu/wCiR4He7vw+14rjkibFmXVYCDncp/1R7Lj5wiVP1um6vUJ9KhZCTxsCXDeW9kQSiUQikUjqiRTj2xPS87Ld8cKapAoR56FLu/PjI+PZ8dQkvN3Eg+OaxHTMZmltIJHUhL0g2ifMiQ1JeZEtku4i/OKt6LQaLu8bigktnxeNJWHyYvjbIZizwtbol+dlvY+LxGgyM++7eJ5YsZ+DaTYrosIyI08s34+xqjBnX3/l7G5QLccNxbDyvgb7ffSw840/4Sw6vvtloLEssErfeImkgsyCUm75dBfdyw8DkKEE8+ED1xAdWF3EjQrw4voh4h75bE4JaxLTql9Qq4Ohc+CeDfCAXcHkPZ9Ki6gmZt/pHH46kO7w2OO65XgpZWJn3KPgE1ynayuKUmFV853xEteNpT2RRCKRSCSSeiLF+PaE9LxsV/x6+BzrDmYA0CXIi7kW32NPNy1XWtJwU3NL2Hs6p9nGKJG0Fg6n20TaPuFOirdafcMBgro3SL9T7FLm1yeJzzOdRkHva8T2+WRI/K5B+mqvrIxLtf3fVmF9UgYr46tklTVR/ZWelsh4cOEb7+4LXcaJ7fQEyHcsUEkk7YmMvFJu/ngXeefOEKFkA+Dfc7TLgvUPTuxW4R3/4eYTrgMVOvaE7pPEdlo8nN3bUEOX1EBWYRnzvovDaPn9XDsonNjOAUT4eTAtMp9ZOstCiW8EjHqoXn1YrWpWmCZw0M+JIN9lnLQnkkgkEolEUm+kGN+eGHIr+HdyfKznZHlT2YYoLjfy7Kqkiv2Xpw3EQ29Lo5421JYl8UNCDfZFEomkwqIGoK+zyHirRQ00SGQ8wLieHfGyZLJsOJiBao3AvPw5UCxf4Zv+DeXFDdJfe2SJI49oO5buqXK8ieqv9Ay1F+MLnDfsfZVt+5i0qpG0P6w2U9Pn72DEK78w4fVNnLxQxBCNraC2R5eRLq/RI8SXK/sJEfZ4ZiEbD59z3enIB2zbuz+u99gltcdkVnl0cQLpeaUAXD0wjPduGcryB8ew46lJvB24Eg2WTKXLngE3x1Y2NTGscwCB3m6Y0XBf0UOYr3tf2BN5BtkauflIeyKJRCKRSCT1ptnEeEVRxiiKskZRlE2KouxQFOVKy+u9FUXZoijKbkVRViiK4mN3zmhFUf5QFGWPoiifKoqiszt2naIoey0/r1Tp635FUfYpihKnKEr9wiTaAsYyKBYRQmj04O5nO9Z5nLypbEO888sxUnNLAJg2JIJxPTtWOj6mexAdfdwB+OlAOuVGc7VrSCQSG8kZtYiMz7IJPw0lxnvotVzaJwSAP7OKOXrOEiEd3NuW7VSQDn/Mb5D+2iOnzjuJOreQZplLK2ii+ivdg21ivFObGpC+8ZJ2jb3N1L7TOWQWlFXc04x0s8tWioqt8VpzL7VlNH246bht8dMRPSaL2iAASd9DgePsGknD8c6vx9h2/AIA3Tp689/pg1Cs6QwnN8Oxn8V26AAYXP/i5lqNwuV9xfdueqGRxI7XCnuiJ06IawMcXQ8ZB+rdh0QikUgkkvZNc0bGa4FbVVW9FLgGeN3y+jvAXaqqjgC+AZ4DUBRFD/wXuFpV1eHAQeABy7GOwOPAOFVVYwEvRVGusRzrB1wFxALDgImKogxomrfYwji8GsotD/SjH4JH4kBjWc9IXCQ9L9sIh9Ly+WzbKQA6eOj45zX9qrXRaTVMHRwOQG6xgS1HzzfpGCWS1sbhdBGZHNrBnUBvN8eNGiEyHqpY1Ry0E3wmPgU6i+3CtrehKKvB+mwvrIw7S3axwWWbatYWnk1T1M/bXUekpW+nNjUAAV0guK/YPrEJDCXO20okbQxXNlP9zMfEhkYH4YNrvNagKH/GW4IXEs/mseOEizlVo4ER94ltsxH2flmncUvqxuYjmbz3m/h9eug1fDgnBl+9YiukvfAmW+PLn7/oAKPJ/WzfuxsPWbIkFAXG/9XWaOsbF9WHRCKRSCSS9kuzifGqqm5VVdWad50LlCiKMhA4o6rqSUubVcAYS5spwHpVVa13xvMB653XLcCnqqqWWvb/C9xt2b4HeF21ALwB3NVY76tFE7/Qtj10Dnh3hF5TxP75ZEiNa55xSRoMs1nl6e8PYLJ4aT51dV+Cfd0dtp02RFrVSCS1objcyJ9ZRQD0CXMSFQ+2yHi9N/iGOW9XR8b1CEKrEdF/7/12jOnzd7B0TwomnzAYPVc0KsuHrf9rsD7bA59tPclflybW2G7m8GjbTl4q5Lm2tWnI+itWq5oz2cWUGkzOG1qj440lcGprg/UvkbR0nNlMaTExSLFExocOAL1zv3h75k60LaR+sOm4i5bAkNmgt1ih7PsSjOW16kNSN87mFPPYkoSKmKF/3zCQPsFelQtpm+0WVeO+vuhC2uN7dsTTYu/48yE7y6J+02yL7Uk/wIVjF9WPRCKRSCSS9kmze8YriqIB/gd8DvQAjlRpkq0oSkDVY6qqlgN6y27VYxlAqKNjwDHLa47Gcr/V6ub8+TYWKZzzJ/xpeUCPHimKT4EQ5a0kLKx2mqR18e3uMySk5AIQ2zmAWbHRTtsOivKja0dvAH45dI6CUtfRoRJJU9AS5+Gj5worRIA+4U784sEmxgd1o6IS4EViNJl5auXBigU2o1ll3+kcnlixn4e+jcM46mHwDBSNd38q5nqJS1RV5bX1ybz84+GK1+yLpdozpX8Y02Mske6lefDtDCjNdX7xvlMbtP6KdVyqCidc2enY+8YfXddg/UvaJy1xHnZGelUbKQu9lLN4KWViJ2p4ra83qlsgQzv5A7DjRBbxZ1wUuff0t33eC8/BoVW17kdSO8qMJh76No5cSwbTLSM6cWNMVKMX0vbQa5nQS2RJHM8stM2/Gi2Ms0bHq7DtrYvqRyJxRGuagyUSiURSP5pVjFcUJQT4FvhdVdVPAAVw5JWiOjlm3a/vscovquonqqrGqqoaGxwcXLs30VpI+M62PWS2bbvHZPCxrFscWCHT21sxmfmlvLY+GQCdRuGVGwai0TgXBBVF4fohEQCUGc1sSKqhWJlE0gS0xHk4Od3mF9/XWWR8cTaUWGpyNKBFjSsLhvVJGaw8XAiXPCFeMBvgt5cbrO+2iFjcOMCHm4WlkEaB/9w4kHWPjue1mwYR2zmACD8PYjsH8NpNg/hgdozISjCWweLZkGkpjB0+GK55QxT16xAl/r3+A5jxdYPWX+lht0hw3JVVTdRw26LM0Q3Sdk5yUbTEedgZ4VVtpCwMtSveWhu/eCuKovCQXXS8da5wyoj7bduykGuD8/LawySezQNgQGQHnptqsV5sgkLaVziyqgEYNBP8OontxMWQc/qi+5JI7GlNc7BEIpFI6kdzFnDtBnwJ/N1iRwNwEuhVpWmQqqq5VY8piuIGGB2dpyhKOHDO0THLdg15p20Ms9kmxuu9oP8NtmNaHQyaJbbL8uDw2qYfn6RBeHHtIQpKxUfivgnd6B3mIoLXgr1VzSppVSOROCQ5o6Biu6/T4q2N4xfvzILBytI9KRB7N/h3Fi8cWAbpNVuvtEdKDSYe+i6OxXvE/6mbVsOHs2O4ZUQndFoNM2OjWf7gGHY8NYnlD45hZmy0EOLNZvhhri27zL8zzF4Ow+8VRf3+miT+HTqnwQuhW7OXAP75/QGbRZG5itiu0ULPK8R2fqosLChpNzjLAByi2IvxtY+MB7isTwi9Q8U91MZD5zh6rsB545A+0PUSsX12D6Tuq1NfEuesSkhlwS4hdPt56pk/exgeFusYcs64PrkBCmlf1iekwiLuZ/tFca0exj4itlUTbH/novuSSCQSiUTSvmjOyPjngbtVVa24W1JVNQHopShKZwBFUaYAVvPT9cBUi2UNCE/4pZbtxcADFoEe4FGE7Q2IIrB/UywA84AvGucttVBObbF53Pa7HjyqiEnSqqbVs+XoedbuTwcgOtCTRy7rWavzunT0ZnC0SMfefvwCmQWlNZwhkbQ/Dlki4/VahW7B3o4bZTeOGO/MgsFKWm4J6Nxh0rO2Fzc+12D9txUKSg3c9eWeigwgbzctX901nCkDwms++Zfn4OByse0ZCHNWgE9II45WYDSZ+XjLyYr9wjJTZYsik7nyCVbfeBDR8RJJO+D6IRG4aas/zlgj41XPAAjsVqdrajQKcy/tXrE/v6bo+JEP2Lb/+KROfUkcc+xcAU+usC0qvjlzMNGBFn/+vFQodWEfBA1SSDvA240RXUTGUXxKbuV75KG32TKL4xdCgeMMNolEIpFIJBJHNKcYPwZYoijKZrufHgghfaGiKNsQhVZfBLAUZ/0nsF5RlO3AIOATy7EMREHX7Yqi7ARKVFVdZzkWhxD0dwM7gS2qqh5qyjfa7CR8a9u2t6ixEtwbIi0pvCe3QG4NxekkLYqSchPP/GB7YHnx+gF4utU+OnOaxarGrMKaxPQGH59E0ppRVbXCpqZHiC96B6IPYPOLhwYV451ZMFQc9/MQG/1vhPAhYvvkJjjxW4ONobVhNJlZuieF6fN3MOY/v3Ld+9uY8vZWdp4U9d+DvN1YfP9oxvToWPPF/vgYdrwrtnUecOsSW82VRmZlXCq/Jmc6PLY+KYOV8VWymXpMAo1ObEvfeEk7Ye/pHMotC1PBPu5E+HkwIVpPT434fCiRsfWq4XHNwHA6WcTf1YlppGQXO2/cawr4W2xLklZCofR4riv28/aof//C1Pe2UWIpWj13Yncm9bUI39mn4MspYKwheKSBCmlP7if6VVX49bDdfKz3gDEPi21TGex4r0H6k0gkEolE0j5oNjFeVdUeqqpOrPJzXFXVA6qqjldVdZyqqrNUVS2yO2ezqqojVVUdq6rqXFVVTXbHlqqqOlxV1dGqqr5Qpa93LcdGWbzp2w8lubYCRwFdoPNYx+2GWkV6VRRFkrRo7B9ahr+ykZRsET179cBwLu1dt4jNawdFVKThSqsaiaQy6Xml5Fvsn/o6sn4yGYU37Z7Pba+d3QtmU/W29cBVEWaADp6WOuYaDUy2++rb+JywV2lnGE1m5n0XzxMr9rPvdA5peaXsP5tHqiXDINLfk2V/Gc3AKL+aL3ZoNaz7h9hWNDD9c4ge0Yijr0ytLIrs8fCDzmPEduo+KHQs5EskbQlrViDAu7cMZcdTk/hmis7WoA5+8fbotBoeuERE1JvMKh//7iI6XqOF4feJbVM57PuqXn22V6rO2xn5ZZQaxfdXoLcbj1xmWeA+fwS+vApyLRY1Hk7m8QYspH1ZH5tf9/OrkypbhQ27CzwtCdt7v4SirAbpUyKRSCQSSdunWQu4SpqAgyts0SNDZgvBxhEDpouoPxDplu1QxGktVH1oKSyziX7FZcbq1gU1EOzrzlhLhOj+s3mcPO+iSKBE0s5IzrAVb+0TXkWMNxlh+Z2wep6teCvA+n/AsjvE8Ytk+rAopvQPc3p805HzLLWKtt0mQvdJYjtjv81apR3hquAtwJ1ju9At2Mfp8QrO7IKV91FR7/2q16DvtQ0zyFpSK4uiqvS6yrZ97OcGHpFE0rIwmsysPyjE+I4+7ozoailifNbOt72eYjzA9Jgogn3dAVi696xrK7+hc0BnyWTa+zmYDPXut73hat7OLipn9f50UQvly6ugwLL40mk0PJwgCmc3UiFto8nMq+uOVOyXGc2VrcJ0XjBqrjhoKII/5l90nxKJRCKRSNoHUoxv61RY1Ciuo0Q8/KDvdWI79zSc3t7oQ5PUD1cPLZuPnq9uXQC26N3Pr4A3+4t/4xZURO9arWoAfkhIa5RxSyStkcPpLoq3Ji6yZR5VO3EN7F980f1rNQrv3zqU124aRGznACL8PIjtHMCcUZ0q2jy98gA7jl8QO5NfACyWDL+9BMayix5Da+K73a6L+m046ESot58jX+8FX11tW8ge9ziMuK+BR1ozNVkUhVktiuzpcblt+8e/VZvrJZK2xM6TWeQUC9H76oFhFVl+nN1jaxQ5rN7X99BruW98VwDKjWY+33bKeWOvQBg0U2wXpDv/bpBUo6YsoMTtG+CrqVBsiTzvfpmo3eEdKBZBGqmQtqv77QqrsBH3gZtlof6PT6A0r0H6lkgkEolE0raRZKA1EgAAIABJREFUYnwrp6o3bqX0yczDIlUdRMSkv2u7A5tVDZV95iUtijpbF9hH76b8Aflnxb+r51VE717RPwwPvZgOfohPRVXVRhq9RNK6OJxuFxkfVkWMj1/g+uS4Go7XEp1Ww8zYaJY/OIYdT01i+YNjeHnaQP4xpQ8ARrPKAwv3cTyzAMIGwqBZ4sTcM7DnswYZQ0umzGhiQ1IGc7/dR0JKrsu2DqPJq86RReds4nWHSJj4dMMPuhbUZFFUXG6ipNxOZDcZ4bcXbfvG0mpzvUTSlvjRzqLmmoGWYsyqCql7xXZQT5uNSD25dWRn/Cx2YAt3niav2EXEe6VCrh9fVL/thZJyE0fsMtCqMlZzgGdynoYyi8jd51q4ZTG4OSmm3oDU6n7bMwBG3CteKMtrF9+5EolEIpFILh4pxrdiHHnj2qdPmuMW2hoPnVPzBbtMAD9LtOWhVVDq/OZY0nzU2bqgFtG7Pu46JvcTVhhnsouJr0HQkkjaC8kZIjK+o49bhV1BBXk11FjIO9tIoxL85ZJuFYJtQamRu77aw4XCMrjsn6B1E402Pgtv9G0xEdIuF5DrcM7i3WfYcfwCT63cz/CXf+GBBfv46YBzexorEY6izV3NkfmpcGBpbd9eg1KTRVFyRgG3f/EHeSUWcbAJMjUkkpaCwWSuiFoO8XUntovFoibnlC2C+iIsaqz4uOu4Y0wXAIrKTXyz80/njUP7Q+dxYjtll7BWkThl85FMrnh7SyW7RXsu1+zjC/3reGLJ8Bo4U1jQ6Nwdtm9oarrfTs2xFPUd9ZDNomjnB1Be5PwkiUQikUgkEqQY36pxlT75S9JZyuO+EzseftDnmpovqNHAkFvFtqEYkr5voJFKGpJqgmAVqolNNUXv7vsaqGxVs8qR1Y1E0s4oNZgqaihUi4oH8It0fQG/qEYYlQ1FUXj5hgGM7REEQEp2Cfd/s5dSz1Bb32YjFKQ1SoR0XYX1mhaQHdW7cHbOkysPcOtnf7Bod0pFgV0QiyaumDncQbT53i9cv9EGynCoK84sih6/vGfF98CeP3OY9fFO4WXdRJkaEklLYMeJLHIrLGrC7SxqGsYv3p67xnTBUy+sT97+9Rij/v2L8/muUnT8Jw3Sf1sjs6CUhxfFc+eXe0jJFoK3FhMztJtZ7vY8290f5je3v/Kx/k3cFcv8PuwuuOFj0OpcXLlhqckqrKjcRE5ROfgEw7A7xYvFWRX31RKJRCKRSCTOaLo7GkmD4yp98lJNAh7lloKCA24CvbihNJrMrIxLZcneFNJzSwj392RWbDTTh0WJB5kht8CWV8V5Cd/CsDsa+21I6oCqqhhNri1kqolNNUXvpu6F9U8xYcjtBHjpySk2sHZ/Os9c2w+9Vq7XSdovxzMLseosfcJ8qzcYepsQuZ0Rc1vjDMwOvVbDh7OHcdP8HRzLLCTuTC7Lv3idOdknHZ9gjZCuTbaUC6wiuf2CsFUo/y05k/dvHYpOq6HMaOJ8QRnn8sv4IT6VjUmpzNBuZZZ2M+FKFulqEEtME1mRNIGp7xcR1sEDswpmVUVVISOvlOM1FJUO9nXnusERTBsSSd9w32rjsjKlfxjTY+wWSEpyYef7kBbv+s02coaDK6wWRTOrWNbcMDSKOZ//wZnsYpIzCpjx0U5+VVJc39SdOwgFGeDrPNpeImkt/LjfVt/mmkHhtgOV/OIbRoz39dAR0sGd01nFmMwqGfllZOSXVZvvAOh9tSgmmn8WDiyDyS+Cd1CDjKM14eh5Y8awKAwmM69tOEKB3SLqtQNCuDP1eWJLttkuoNg2zaPmorny36DYvdgEzIqNZt/pHKfH80uNTH1/Gx/fNoz+Yx4WFjVmA+x4F4bf02QR/BKJRCKRSFofUoxvxbhKn5yh3VKxvVq5lM4pufQK9eHxJYmuxZOALtBlPPy5VYhMF45Bx56N+TYkdeCzradISnduH1RNbALoEC4eCp2hmmHXh+h3fchK7yG8XTqG9UUj2H40g4klv4poy7xUEQU89DaRPdFAxbEkkpbMIbvPWrXirQC9poCiBdVBin3fqa6LZjcgfp56vrhzONM+2E5WUTl90le5znuLW3DRYnxNhe3G/XcTZUZTRXFFEJGP7+vf5SqtTSyLVLKI1RzlMk0889If4XB63eaWXiE+rHtsgi0qFnj/1qGsjE9l6Z4U0nJLiPD3ZObwaKbHWBadywpg10ew4z2bD7ErGjnDoT50CvJi+V9Gc/sXu0nOKOB0VjFJnr4MdnVSeSG8PUgsso99rObMDomkhVJuNLMh6RwAoR3cGdbJzhfe6hev8xS2MQ3AyrhUTmcVOzxmLeRZsWCm1Qkh9tcXwFQGcV/D+L82yDhaC64Wa+2JCvDkpWkDuLRoAxzfhkolDb4CTUi/JhfiQViF/Zac6fC7zstNS3G5ibM5JUyfv4P/Th/E9UNuFb/vgnRI+A5i72ryMUskEolEImkdSDG+FRPu70laXmm11zuSx6WaBACSzdE8slWBrdvRaRSMTuwDKj1MDJ0jxHgQ0fGXP99I70BSF/b+mc2r65MB0GsVHrikO7tOZDkWm6yoKmhq+JjrvcEg/C27FiXwjlsCOeo3GFf6gcEuqt5a+PXYBrjpqyZNFZZImoPk9IKK7T7hDiLj93xmE+I7WARbvygRET/4liZdtIoO9OLTO2K55ZNdhCtZrhufOyhqgng4WGCoJQt2nXZ5PCO/+nfTjdqtXKXdg6pW1lVUFa7S7uFG81aWmSaiUYRFi6IoGIxmNJi40VE0vWkChWXGynMeoMPMTM1mZrotAPdUcIsEzW1gmCYsaba9DSXZdid4iGKnzmiCDIf6ENLBgyUPjOaer/aw93QOC8svYbD+SDVBq9K+qQx2fwL7voIhs2Hc46JIbeIiufAqaTVsP3GholbC1QPD0VjnAGMZZBwQ2xFDQKtvkP5qU8izUvZKzB2w+VXxedvzOYx5pF3dM7larAXQKHD/hO48OqknnmoxfPQG4FiIByB+YbPMw1arMEeLu5f3DeVvSxPYdOQ8pQYzjy5OICX2Wh5SFqCoZtj+tphH29HvXSKRSCQSSe2RdwitmJtiohymT07TbkOvCIFomWkC1ttbZ0K8lYqHib7XwY//B+UFkLgYLn1G3kw2M1mFZcz7Lr7Cm/SZa/pVFBRzydY34MxO58f7ThUenMk/wb4v4fR2AAKUQjA4sYZoIJsLiaSlk5whIuO1GoUeIT6VD5YVwu6PxbabDzy4DTwDaE5iOgXw1qwhpC8LItKVIF9eCO8OhcuegZjbay24Fpcb2ZCUwcq4VA6kuo4o1ygwINKPEF8PQjq4E+rrwZXb/wVq9QBH6/6Lbt/w+qBCCOkDwX0hpC8zvj3F3RkvOo2m/9LvucoXMxlh+Z2VC5laFxJ//JsQx6zovWDkX2D0Q7D2McfFT5sww6E++HnqWXDPSOZ+u48VRyZwmSa+0v8ViDuABK/RDBw1Ge0f86HoPJjKxZwfvwB8wyHPTmyUC6+SFs5P+9Mrtq+1t6hJ3y/+tgEihzVYfzUV8kyretw7CAbOgISF4vN05Efod32Djaels2RvCloXi6h9Qv14sl8O/PSIqE9lqKHgaQu0CgP4/I7hvP3LUd797TgA/9trYHDARMaX/AY5f8LBFTB4VhOPWCKRSCQSSWtAPmG1YjzdHAkoaoVFjarRcd9DTzLkvI64Mzks3HUagwu/8YqHCTcvGHCjLdXyxG/Q64pGeAeS2mAyqzy2JKEi0vSageHcPrpzzSceWA6/vSS2NXoYNVcILHlnq0fvDpohfs4fZe/KNxmStgSdUr2YYgUNYHMhkbRkVFXlsMWmpnuwN+66KvNt3DdQYlkMHXZnswvxVq4eGM6vB2bB0ZccRqBX7BdfEAL07k/hyleg+6VOPX7D/TxYlZDG+qQMissdWPI4IKZTAMsfHCN2Mg7CjtdR1RMuz/FUSyHxu0qvLda4o9WWOY2m7+a9FE4BWjfQucHRnx2L6mAT4rXuMPxeERXuEyxeu+krscgYt8DxHNmC8XTT8sntscz8aCfzUh7hRvNWZmo3E6FkkaYGsdQ0kRXZE3jVawgzH31QRMVvfwcKM0SB3zwnUb+uFl5NRhlNL2kWhEWNiLoO9/NgaLQDixqAqOEN1qezTFQroR08qr848n4hxgOsegjWP91yPieN9PlVVZW4M7kcSct2akl2r/YnPHNN8GW6iytVoQVahQFoNAp/vaI3/SP9+NvSRArLjLyQO4Vf3H8DoOz7eeR8/xS5+lAK+t5MzHUPodXJR2+JRCKRSCRSjG+1qKrKR1tswka/cF9yiw2M9z5D72wRQaL0mkJYRCemRsDUwRHsP5vnshBRhL+nbWfoHCHGg3iYkGJ8s/HBpuNsPXYBgK4dvXl1+kCUmrwzT++EHx607V/3nijOWxPBvfC/4XXOfbCBSLKdt2vGKCWJpCk4X1BW4XdezS/eWC4Kf4IQgUfPa+LRuSar+3TWHV5fPUJagV9MQ9EFdmZC/ho0qgkyk2DBNAzdr+CV0lkU/fkHT1kjGdODWLJKRDKaq5jQRwd4kpLjPFp0ZmwUnNwiRN8Tv4r+axi3qmhRqvjva81lFWOv+l4Aep/6Bk59U8OV7fAJhfs3Q4eIyq9rdeJ7r5UuMuq1GhQFTGhZZprIMtPEam2W7D4jojtHz4XYu4UQt+FpWySxIzb9Ryw0hfQD/86g0bjOPpDR9JJGZvvxC+Rbin9WsqiBysVboxqmeCvUXMgzq6icvGIDfl52tjgh/cEzUFhilRWIn5bwOWmEz29+qYFV8al8+8cZUVBau4Wr9I4tyXprqtw/doiCsAFwdL3zDlqoVZiVK/uH0f0hH+5fsJdT58PJUAMIU3Jwp5wwsggzZMH+Z4k7sZFBj61Ep3dr7iFLJBKJRCJpZuTTUitl05FMkjOEn/GkPiF8fqclAmjt41RoqENmVzqnpoeJm2LtIk+ihkNQT8g6BkfWQXE2eAU25FuQ1ILtxy/w1i9HAXDXafhwdgy+HjV4oGadgMW32ASWS56snRBvoUeIL4f0oUQaXYjxLTRKSSJpKOyLt/YJqyLGH1gK+ZZ6CoNvFkWSWxBL4tJJMDiJkDZNwHxOQ3dlLP/UfctlWlFfRH/iZ55VN6LR27KnKhVXNTxCmL8PNwyN5IaYSLoEefPwwj14H1lWyYZgmWkCPSNDmRH3GqQnVB6YVxAUZzn1NFemvgPdJsL5ZMg8LP7dvxTMBhoMjb66EN9GyHARuQuQkJLH86uTuKxPCCO7BeI+4j7Y+hYUpDo/Kf8sLL5VbLv5CFFeq6+wNKuGtDGTNDJr7SxqrrFa1FgjvQ+vFftaPRz/DYbObpAIdFeFPAHOZBcz65OdfHPPCEJ8LVHyiYsq16awpzk/J4mL4PAax/Owk3EZDeXEr5mP7+HF+BsyydWHUND3ZnQxs1myL41VCWmUGIwEkc9ozVnmaX8AnC+iqigo/aeJaPxuE8WLy+5olVZhVnqE+LDqobF8/t6LhBVVf9ZSVYgp2srutR8x4oZHmmGEEolEIpFIWhJSjG+FqKrKB5tsUfFzL+0uNgwlcGCF2PYOgZ6TK51X08PE6axi246iiIeYX54Xou6BZTDygYZ8G5IaOJdfyqOL41Et2thL1w+oHqFblaIs+PYmm33GoJth4pN17vt8j5mQ/EK1qKYKhs528KJE0nawLnZCleKtZrMoAAqAAmMebdqB1YL03BKXEdIAJ9RI7jY8wXjTfp7RLaS35iwapbqNmdUO5i3P77h2xoNovA3gng8GeN/tXTR6m3hiFe/JrHKR8CEw9lHocw2suEcIPnYoIAQXq0WCf7Tt+yvruIjYdIZ/Fxh+j7CgMZaLaO8CF/YHbXghsSYrDZOq8tWOP/lqx594uWkZ16Mjr2iDCcaFGG9PeSGc3V1zO2ljJmkkyowmfj4k7mEj/T0ZGu3vONLbZIA1D8PxnxskAt1ZIc/L+4WyaPcZTmcVk5xRwMyPdrLw3pFEBXiJucgVDfQ5cSaUV7JEUVU4lwQnfkX9/X9i8bPKdaz76trHURIWQUAXCOiCqUMUxzfMZ3hpYkXbMMMF2P8sSQmfMdDcgxs0afR0P0ug4qTWUFV8wmDGV5Vfa8VWYVZ8PfRMKd/o8Jj1Xto36TuQYrxEIpFIJO0eKca3Qnafyq6IcB/ZNZBhnS0R64fXQpmlqN7gWSIyyA5HDxP+Xm4cyyzAYFKZv/kEQ6L9ubJ/mOUat8CvL4FqEg8VUoxvMowmMw8viudCoYhunx4TxYzYGkQkQ6mIYMw+KfY7j4Pr3nWiprum95UPsC7pp2o2FxUUuygOKZG0AZLtIuP72kfGH/lRZAwB9LsOOvZo4pHVTE2ibK8QH+ZN6klOUTnZRT1ZVHQVd8fPoJNSVUW3TR/Xla+DBesqHdNUa12FHpcLEb7LeNuF6iq4DL3NtRh/yd8rC1r+nWC1C9ugFm53cDHUlP3moddQahC1QIrLTfx86Bx+2hG8rk9wWl/gcLe76NurN5w7KMS8zGQwui5mKW3MJI3FtmMXKKiwqAkTln2WSG+HNGAEurNCnjfGRHL757tJzijgz6xiZny0kwX3jKRHXg2LXOePiIWEi1goMBrK2f/2jQwv2lrxmlUoTzz+EwOuuBv1xG9wYhO64nNAzXZhiqkcTm8TP4AW6OOkbX/NGfprztR53EqAg7pHrdwqzIq/4bzL4z0NRzi8/EV6XvEXdB1CmmhUEolEIpFIWhpSjG+FfLDZPireTgiyFooCGOL4ZtbRw8SqhFQeXSzsBP62NJEe83zoHuwDvmFCTDm2ATIOQPp+CB/UsG9G4pA3Nh5l9ymR3tw71JeXpw1w7RNvNsOquZCyS+wH9YSbF4LOvV79hwV4szDqBX478wMztZuJ1mRTovWls/mM8Jn+9SWIHgWdR9fr+hJJS8caGe/vpSe0g+VzpKqw9U1bo3GPN8PIaqYmUfbeCd24bnBlq5bz+1VwUbO5zoQOhDkrqr9eV8FlyK3iO6i29gV1bd+GcJX9NqV/GG/fPISElFw2JWfya3ImxzMLWWGawGWaeIf1BdaZhvNl4XSWjhpvO2A2wScTIWO/84G04ewDSfPyYyWLGssc1kQR6M4I8fVg8f2juOurPcSfySU9r5RZH+/k946heOe7WJgqzYH3YmD8X8W8VI/7tfg18xletNXhYtrg4l3ww65q5zjNeLRQorqhQcVdqb09mKp1Q+nYC4J7Q3BfKMiAvZ85P6ENL4rm6kPEgogTdIqZvgffoPzgOxwLnUz4pLn49ByP0WioOcNBIpFIJBJJm0F+u7cyDqbm8ftREXUxILIDE3p2FAdyz4hieQCRsRDiLI6lOtcPiSQxJY8vtp+isMzIXxbs4/uHxuLjrhN2JMc2iIYJ30oxvgn49fA55lsWXLzctHwwOwZPtyoRo1Z/1PgFkJcKqhkK0sQxr44we5kouldPjCYzeWVmtlexubhN+zMv6b8S2RLL74K/bAPvjvXuRyJpiZQZTRzPFOn2fcM62BbCTv0OaXFiu9ulEDG0mUbomppE2ekx1cVSxS8ScpxH9BV4dcJ37L2ifkhJtvByN7rwKC9xvhhQJzTaukXT17V9G8KZlcbM4dFMj4lCq1EY1S2IUd2CeOrqvpzJKuba97Yyr9R5fYGwvCrFXTVaGHF/u80+kDQfpQYTGw+J6O5If08GR/mJAzVFoDdBpoa/lxsL7xnJ/Qv2sv14FllF5bxqHM5Lyj7XJ+aehjWPwpbXYOyjGAfeTPz6r2oUZItKDSTujydy/3zAuTe7lUzVn9/Ng/jdNIgAJZ8X9N84zYZ51ngnazUTCSGPaM7xnuZ1ApQip2/hPAEEP328coS/2QRF59rlomhB35th/7NO/3+NqgadYsYNIz3PrYPv1pHp0ZUSk8Jww8mK9tYMB1n0VSKRSCSStokU41sZH24+XrE9d2IPFLNJiLKb/4MovwQE9RA3wnUQHZ66ug8H0/LYfSqbY5mFPLE8kQ9ujUHpdRV4BgrxZc9ncGgN+EcJ6wCrv6/kojCazKyMS2XJ3hRSsovJKrKJH/+5cSA9Qnwqn+DIH9WKooFZCyGw60WNaWVcKgfT8qu9vsA0mZGaZK7V7hK+zCvvg9krQFOjYYVE0iowmszM33QCo1nMpyfOF7J0TwrTh0Wh3faWrWELjYqH2omyVQkcdw+sedipgOB9+ROVRdbzR1zbxzRkdHRdo+nbiN1BfXBmpeGITkFe9Az1Zd9po9P6AqEdPKqf6Cr7ILhPmxbaJM3H1mMXKCgTFjXXDgq3LZJ2iBCFhp3RRJka3u46Pr9jOA8vimfjoXN8WzaO8e5xXKFUr7Ogdp2I4hMCB5eLYIr8VFj3BOr6fzJctUWkWwXZA0fX0mHMnWQd34M+I4FOZUcZ40Igt5KvevFO9DsYOvYl1M+Tcb7ufLblGOtyDzvNhjkdeR2H59qyYZJfWUqA4ZDTPi7owwmuarXTjhdFY657iLgTG4mxsw4C8f8b5z0er2lvc/yXzxiYsZLOilhcCik9BVTPWpBFXyUSiUQiabtIMb4VceJ8IesOikjHbsHeXNm3o2NRdv9iMBTVqWiVXqvh/VuHMvW9bZzLL+OnAxl8uvUk94/tDB5+Qow3G6EgVfyk/CEexhugMFZ7xmgyM++7eIcRrNEBnlwzMLz6Sa78UVUzZJ+4aPuYJXtTnBxReNJwLzFuKUSYUuHEb7D1DeHbLJG0chx9HjMLynhixX6OJ27j6bObxIuRw6DrhGYaZe2oiygLoBk6G/Oxn9EkVymuqoDaZyqaIbdWPqEmL3cZHd0qqMnSKD2vlJTsYqIDvWwvVhXask9BUSagioK7aQkQNazRxy5pX/y4P61i+5pBdvdGoQNcFxZuwrnIQ69l/uwYnli+n5XxqTxY9jA3aqtnnRQqM3hvWiy6iU/C9rchYRGYDejV6tYwqgoDS3fDb7upcFqvZSmgVLcu/OvemVUuCPNWOM+GeXVEl0rNa4r0LujnZPGtnS6KanU6Bj22kt1rP8L30CICDJnk6EMo6HcLw6bORavT0afnq2TmP8uK9csJOLSAS9XdKIrzDIeIgx/BpBnQwe7vvmqGrF+kDJSSSCQSiaQVoaiq2txjaJHExsaqe/fube5hVOLvyxJZtk9E/7x+0yBmaDa7ThW//oM63wTvO53DzZ/sxGBS0Sjw8yVn6LHryQbtQ2Jj6Z4Unljh3Hv3tZsGVRfTPr/CtQgWPQru2XBR4xrzn19dFoCc4JvON+o/hU2FooHbfoBul1xUn5IGo+4Ve1soTT0Pu/o8fqB/m2u0FsFn1kKRat/WMBlrH8loNsGyO5zbEMz4WgoCrQCTWeWhb+McLghbCfJ24+PbhhHbJdD5hXZ/Cj/9n9gO6Ap/2Qruvg082laFnIcbkFKDiWEvbaSo3ER0oCe///1SERlvKIX3YyHPSQBBM81FZrPKnM//YMcJ58XuuwR54eepp8xoxt9wjncL/0aIklfjtU2qQoquE4VBg1BM5fTP2uBUKN89+KVqEdWuPvNT+ofxweyYStlTJqORxLemVYv0BhHpPfjxH6Sn+UVQajCR90o3QsmtuXFAV+g8BqJHwqHv4cSm6m36TpWBUjbaxDzcEuZgiUQiqQdtYg5uTOQ3dSshNbeE7+OFL2aEnwfXD4mErxu+aNWwzgE8e20//rUqCbMKhbu+bPA+2jr2tjPpuSWE+3syKzZa2FxoFFRV5c+sYrYdO88bPx91ea2le1Iqi/FmM1w45noADeCPGu7v6VKMT/fsCZe8BmseEdH4K+4V/vG+oRfdt0TSXDjLCOmqpHOVxpLS37EX9L6mCUfVhNQlkrEd2xC0JZxZGl01MIy1ienEp+SSVVTOrZ/+wX9vGsgNQ51Yfgy/F47/AkfXQ84p+OkJuGF+074ZSZtly9HzFJWbALh6oJ1Fza4PbEJ81HBQtC1iLtJoFEoNJpdt/swqttvzwuDu+pEsT/XiwIRP6Bczji4BoiaQyWgkzoFQbrVEGTZ1brXr1NXGrDaR3pL646HX8qc+glBDLcT4nFPiJ+Fb520OrxHfy/LZTCKRSCSSFo28g2olfPr7yQoP4/sndMNNp2m0olVzRnUmISWPFXFnCVYvuF7TaoLCWK0JRzYXaXml7Dudw7d/nKZXqC87TmSRmltSq+ulWduZzXB4NWx+VVgGuaIB/FFrsi44llnIv87E8NyAmegOLhUWBSvugdtXSRFO0mpJd/K5vF+7Fo1iySIb+5iskWClndoQtDWcWRrNHtmZJ5bvZ3ViGuUmM48vSeR4ZiF/m9wbTdW6A4oiMuXmj4HCc5D4HfSYBANvasJ3Immr/Lg/vWL72oERYqPgHGx9U2zrPEUEvF9kM4zOMRkuAhpA3FoH+bih12pw02k4VxhEJM4j6dPcujBuUuWMrPoK5XW1MdPp3USEvSXKPqxWZ0lqS01WQKtNo/DRmhmjP4aHoRbF0WWglEQikUgkLR4pxrcCsgrLWLznDCDSxWcN7yQOeAc3StEqRVF45YYBJGfkk34hiEjF+cNBUxXGai2sjEt1mu6feDaPxLM1pyDbE+HnIaJcNr8K5w7W7qQG8EedPiyK35IzXVoXLPjjDHsCb+R7/3g8c4/Bn1tFIeHLnrno/iWS5sBRRkgo2UzX/g7ABU1HOg6c0RxDk0iaHA+9lnduHkKPEB/e3CiyuD7YdIKT54t4Y+ZgvNyq3EJ6d4QbPoIFN4j9tY+LaOWAzkgk9aXUYOKXw6LQZadALwZEdhAHNr0M5YVie+yjLUqIh5ozDId1DmD5g2Mq9vesnFMvb3YplLd+XBV9XW8ewWOGeZgNGihVmRiYy6fGp9GXu3iekIFSEolEIpG0eKQY3wr4cvuflBrMANw9riueblpxd250HXVzMaKsh17LR3OG8dm7k4jlaLWHAyumHpORcdACs1k1sMjYAAAgAElEQVTl822namwX6O3G2B4dGd+jIznF5by2LokbtVuZpd1MuJJFuhrEEtMl5Ko+vFa6HpYcrnyB3leLB9BTv1e/eN+pIi37InGVxuzjpuOZVQfJLionOdvM9Zr7WOvxLG7mUvj9deFZ3/PyWvVTk6WPRNKUjOwaWC0j5B7dOtwUYTeQ0uceOurcmmNoEkmzoCgKj0zqSbdgb/62NJEyo5l1BzM4k13MtCGRrE/KqDJ3X4p29DzY+T6U5cPK++DOn6R/saTebD6SSbHFouaaQRaLmvT9IvoXwDccxj7i4grNQ00ZhjOHV45KdyXIOrOckbQNXGU4xE66lzu2nGLBztMYzbA5O4BEt1BiNc7FeNUvUhr1SiQSiUTSwpFPRy2cglIDX+/8EwBfdx1zRlkizPZ+AecPOz2vIUTZ6EAv9DGzWbdnL1dp9zhsU7bzE7wGzWiWyLe6CrmNJfwmZ+TzQ3waaxLTarSfCfZx44+nL69I8TcZDQzf/Wilh69IJYtYjcVLPt/u5F5TYOKTEDG0boUW64mrNObhXQN5auUBfjl8jqPmKP5RehdvuQl/YMPi2zitROJjzCFXH0JB35uJue6haunSrix9fkvO5P1bh6LTSjsQSdNxKD2/0r4fhdyq/RWAQk0HBl33cHMMSyJpdq4dFEFUgBf3fbOX8wVlJKXlk5Rm+7xUmrtnPoPu1O+QsV8UG9/6P/HdJZHUg7V2FjXXDAwXwSgbngYs1mGXPw9u3s0xNJe4yjCc0j+M6TGVM0ulN3v7xlWGw3NT+3P76C78d10y65MyWGKaSKzGeaDUKTWcbk0zbIlEIqkbJiMkLoL4BcJy2S8Sht4GQ26VVreSdoe8s2vhLNx1hoJSIwBzRnfGz1MP2Sfh53+JBooWxv9NREk3gigbn1rAl4ZHuNG8lZnazUQoWaSrAfhRTE9NGl6l5+DrqXD3eugQcdH91Za6Crn1FX6dCfgjuwWydn86qxPSOHKuoNbj7hzkXclrV7t/MTFFW1FxYc3fYzJMfAqihtlea2av5mBfdz69fRjL953lhTWH+L5sPKOMh5ml24zeVEwPRJHZMMMF2P8scSc2Muixlej0tqhiV5Y+65MyWBmfWms/U4nkYjmYmsfmI+cBiPD3ILyDB1dmrcbHJDKQvMbPRePh25xDlEialSHR/qyeN5bpH+5war+xPimDlQdCmHnTF/DxBDAUw5b/QreJ0GlUk45X0vopKTfx6+FMALoEedE/ogMc+UnY4oEIThg4sxlH6Jy6FkoFaTkjcU7Xjt58dNswdp/K5u4vFS4zxTsNlOpydrWwuOw71eFxiaShkZnOklphMsLyO8X8ZCX/rAjcOLYBbvpKZlJK2hXyr70FU2ow8fm2kwC46zTcPbYrmE3w/YNgKBKNJvwfXPo08M9GGUN6bgkmtCwzTWSZaWLF616U8o3bqyKCO/c0fH0d3PUT+ITUq5+6fomvjEtlY1IqM6rZu0xkRdIEvtsdxPSYKDSKgqLAin1n6yz8uhLwHeHjrqN3mG/t05ILz8PWNwAXQnxIf5iz3On1mhNFUZgRG83o7kH8fdl+Ek53Yxabq7VTVYgp2spbb7/Mzg5XkV9iIL/EQEa+a5ulpXtSpBgvaTI+2HS8YvuZa/pxde8O8NYcKAH0XmhGPtB8g5NIWgjhfp6EdPBw6YUt5u4xMOVVWPMIqGZYcR/8ZSt4+jfhaCWtnU1HMikx2FnUmAzws11dmiv/06ILate1UKpEUhMjugbi6+HGvPzKgVJpahAZaiBTtbvQYIbld8OcFdB1QnMPWdLGqXems4yQbn8kLqosxNtzeI3I+pfFpyXtCCnGt2CW7U3hQmE5ALOGRxPs6w7b3oaUXaJB+GCY8PdGHYOzAlTFeHBX+RN85/YKAzWnIOsYfDMN7lwLXoF16qOmL/F3bh7ChaJyzmQVcya7iDPZxSzZdYr39e9Wigqx2rtcpoln3qpHeHZVUqV+tJgceLNPZIVpAk+tOMB/fjqMTqtBp1HQahRKDSZyCkscC/6mCZjR4KbVMLF3MNcPiWRS3xD0Wg0PL9yD95Fl1c4p7D2D6Z1LYfs7kPwjpOymIs3aGaV1K/jaHEQFePHtvSNJevlRMFc/bk2hvaZgGfOzYihHX6vrJqXlsfNEFqO6BQqPWImkkTh2roB1B8X80yvYkynlG+HD/0FJtmgQPRI8/JpxhBJJyyGzhoXUNKtdW8ztcPwXOLwa8s6Igq43feHYV0EiccCPlSxqImD3JyI7FKD/DdB5dDONTCJpPiICvEjPL6sWKAWQooYwV7caTOWw6Ba4Yw1ExjTPQCXtgnplOpuMmJfdiSa5eoS0enQDyoyvZIR0WyR+gevjcQukGC9pV8hZroViMJn5aIt44NBpFO6f0A3OJcGmV0QDrTvc8Aloayds1hdXBagK8OK28idZ7PYyfTQpkJlEyZfT0N+1mpVJBXWKcnf1Jd7vuQ2YzJVF6xnazVyl31PNL1FV4SrtHh4wr2G56RIK8KQEd7SYXYv3hkfIKa7chxaTy3Ne93mS7x++BD8vu9+Bycj7bu+i0a+pdo569juUDwodvk+n+EXV3KYFoNEoBJsvuGzTS5NGvPsD7NAOY4/7WH4o7k9WmcbpAkmJAW75dBddgryYOTyam2KiCOngIVMhJQ3Oh5tPAOIz/6XPB2jW/FK5wclNsOwOmT4pkeB8kd5KhL+n2FAUmPoOpO6D/FRIWgnpCWAslxFwEqdYv+O/232GxJRcADr6uNHLtwy2vCYaad3h8heacZQSSfPh6tnsNeMspnTV0y1lBZQXwrc3wd0boGPPJh6lpL2wZG+Ky+MfbznBkGh/OgV64aEX3/emhO/QJq9x+ByvJK/BlLAI7bDbGnPYkqbGZITMZNdtcl3/LUkkbQ2pKrRQ7IuBXjckgihfHXz2gIh0AJj0Lwjp0+jjcFWAqmeID9lFbtxW9BSL3V6iuyYdz/OJxL92Jc+VPkEJHkD1VLW8EgNHzhVwJKOAo+cKWJ2Q5jJq3WS2pbYFk8NYTRL/0C0GqgfYWfef0C/lCf1SAExoKEOPF2VOxfuvNf/jrHd/SnGjWHWjRHUjvOgQV2mdC/7FZZ/gd+wCGMvE78VYBim7Kq/y24+t3E6IVzTQaTT4hAqBwhkxredGJFcfIjziXeCtlDLZvJ3JJdv5h0ZPlrsXIYot+r/qAokJLX9mFfPa+iO88fNRLu0dTG5hCV3T1vCU9W8lPYglP0xk0+EZvDc7VhZ9ldSJ01lFrEpIBeDeDruITP/FcUOZPimRAK6FIKhix+YVCNPmwzfXiX1rVLP0CJU4wFGmJMCFwnK2ffo3JpZZ7hdGz4WAzs0wQomk+XH1bObn6UbUbR/D9+XivqU4S2Qu37Oh1QT4SFoX6dZsOCecOF/EFW/9DkBYBw86B3nxwoX59MH5c3z2ts8JlmJ82yFlj8iOLHOd8a+W5qKcPwrBvZpoYBJJ8yKffloQ1migxXvOsP+smKwU4IEJ3eH31yDjgGjYeSyMmtskY6qpAJXBZGb5vrP8Y8uLvF38FFHKBYaSzCq3f1GAJ2FKTiUv9yEvXqCwzFi5DxcR6Fdo9vC9eimzQ8/QtySOwOKTdX8PmPGiDHD+pT9OSYTixKonujxnunkDfL+hboPxDIAr/w09rwTvIFEDwGxw7J/Wd6ooxNtKKOh7M+x/1nGUgwLpwWMJN6ZCzp8AaFVDJSHevv1V2j1s7buBRaVjWHXCTJqpA0azjk2H08Xfir7638q6Y/F8v+9TZozo2thvVdKG+GjLCayJN/d6b4dyF41l+qRE4lIIivT3ZHpMFcEn94zzi8lFLokdzjIleyhnGZe3RtwUe4fAuL82/eAkkhZC1Wez1JxiCspMFJYZySsxsGD3We6Z/jl8OwNObRGLnwtugLvWi2cPiaQBqSlbzp6M/FIy8kvp4J7uomAakHe2YQYnaXRcZqyX5cIvL8C+r7C35nWmFSiGIvh4Alz5MsTeI20NJW0eRVVr8Kxup8TGxqp79+5tsv6cRQMB/KV7Dv9IexhFNYObDzy4HQK6NNnYaoPJrLLlj930Xz+LUMVxxNw60/CKaGd7Zmo385r+E6cTc31QfcNRek6GsgIozUf9cyuKyZXK1kR0iIK/Vvayx2QUYkTcAnHz4RclIuIH39Kq0vdNRiOJb00jpmhrtWNx3uMZ/PgPaLVaYbeUvFZ45xuKa3VtFYVsxZ8Ss5Yo5YLTv5UPOjzOQ399voHeUaulzdy5NPY8nJZbwiWvb8JgUgnr4MFOj4dR8lOdn+Do8yuRtEOMJnOFEHQ2p5isonIMJnE/ueCeEYzvGWxr/PkVIgreGdGjRNRm20LOw/Vg+vwdDrMuvtL/l4laS8DE1Hdh2B1NMh6JpLVwPLOQq9/ZSrnJjJeblg2PTSDa2wRfT4W0eNEoIgbuWA3uvs072KajTczDTa1J1JUvtp3ixbWHnB6fNiSCQG93TmcVcTq7GJ/sJBZrn8VDMTg9J1Hpw+DnXNw3SFoEzvUrlec6HeCOgk/RlGRVvLqLgZSZ4BLtgWrXylF9CFDsXAR6XgnXvw8+IY00ekkT0Cbm4MZERsa3EJxFA3lQxoyUl1E0lsqYV77S4oR4EFEal40eyUcbp/AX86Jqx63Rzm/yEfrg7kS5lxCsLcSfAvTpe8HkPAK9Ajcf6DIOuk2E0nzY/G9UKn/KrfvKZc9UirRTahIDwgbDde+AoUQIxOXFqBufR8k54fQUNbA7yqVPg84DdO6gdYP1T0Km8xsShymiWp0YayuPDNTqdAx6bCW7136E76FFBBgyydGHUNDvFoZNnYtWZ5luwgaIn7gFtRbjFVSC1JyKX7bTDIeCdcDzDfJ+JG2fT34/WSEgPnBJN5QDHYW3tTNkirdEAoBOq2FmbHRFUbaNh85x3zdCLHhq5QF+fnwCXm6WOT/PxWcKZAScpAJHdgcTNQkVQvxRpQu9Wvm9kkTSGPQI8WHeZT14c+NRistN/POHg3x913CU2Svgiysh6xikxcGnk8CjA+Sny9odkoum3Ghm/UHHdd8ApvQP442ZQ0RNL1WFvZ+jrn8OxSSEeGeBdwleoxncWIOWNBgr41LZmJTKDDur4RzVBw/K6ZFpK8CeqfrzsmEOq82j0WLmRvNWZmo3E6FkkaYGsdQ0kR9MY/m793ruNy8F1SRsDD8cLQT53lc147uUSBoPKca3EJwVP/mHbjHdNZbJrOcVENOyo4EmahPBXP116xft9drtkL29TtdU3TugzF4OkTG2grVmE5w7gFLF3kUBx/YuQ29zLcaPvB8ihla+VmkerJ7nXPAf/1cYeFPl64yaC6vnOe+nFXnA1wed3o0RNzwCNzwCQJirxn6RInXWGQFdYdAsKEgTDw0FGZjPHUSD82yeCFx71kskVs4XlLFot7DP6Ojjxs2x0ZDoPEoHaPOfX4mkvkzuF8o1g8L5cX86Z3NKePPnozxzbT9xsKa5Xi5ySSwE+7pXsjvQYeT/2bvv8Diq82HDz1kV94Yr2Mb0Xl3oxYEUIKGZEmoINSR0EpKQThKSAAkJBAI/SkIN3fSPFno1NrbpvRgXjHtv0u75/piVLUtayTIaS1o993XpsnZmzswZS3pn5p1Tfll66/LPt3Y/lQtMGkp1OnXPDXnojSl88OUCnvtgOvePn8JB2/eH792X9FCaNxlmvL+igHN36Cu64MG3efWzWUASv/t378C0eUtWGtK2JBOSnuoPnAlvj1z+TD0tdqtzuFKAry95gmXzplPetXed69Uy3PzSx3UONVwlFwM3Zb/B3yoPZz4dAchSwl3Z4dyVHV5rf4/2PJZTDjgZRp4Msz6GRTPgtiNg8Peh39bw5p1JAw9fJKpIeNVtISbPrt1CeOfM2xxfmnTdnktnuh3wzxY/dtbAklnQQD5rJSXlQIRs4UKhzxaw7o4rL8yUJDeOqzq8y3ZHJTebjRmbPV9mlRP+q3uctqqhFyR7/KRWb4FZl+1Jr9njCxbpWrIM5k2Brus0VS1VpK574ROWViZvDk/cbQM6fPJI/b1a/PuV6vW7/bfkhQ9nMHdxBf9+8VP233Ydth3YveFYv/3Ra66SarEWLq1k9qIKSsgyIt/KbqMwme5hIQCPZ4ew5a7faeZaSi1XeWmGvxyyDYdc9RIxwu8feoc9NunNWt0GwJDj4ek/1l3QuTu0Gm55ZQK3jkoatXRpX8odp+zEBr07195w6ptw53FJchUglJD72q+44NNd6PjBPctbSE+NPejFPAZlptE/O4kPr9iffmc8Rpcu3dbgWakhi5ZV8v/enMqdoyey2bSH2bdsdMEeDlflDmbpnudzYZ/ObNynM2MnzOaX971VcN/zFleysPe2dPrBc/D4L/NjzQNjb6ixoS8SVRz8zW0BpsxZzNwllSs9gKwTptOT+cu3ub7b6Zzbpd52xi1Cx16DYFLh7mqx16aEg6+Cjj2Tr/LOMO6W1WtN3pjhXRqbvF+TZdqq1XhxsdZuJ8KDZxQcM75d5TzilTsSvvmHpBdJC395peYxZ9Eybnl5AgDdOpRxzOCecP35KzbY7RyY8LJ/v1Ij9O7Sjl99e3POu/sNchF+ds8bPHD6bpTXF+sBFs6se7najKWVWU695TUmz5pfq5Vdlf6dA3tv1/Lvg6XmNHjdHhy383rc8NJnzFq4jD8+9A6Xfnc7+OiJ+gs6Qb0a4ZVPZvK7B5I5lDIB/nnk9rUT8THC2BvhkZ9BZb7HU5e14dB/kxm0C5ftmmPkuP5cNPpgpsxZzDrdO7B7/xIOGPt91mcKGy97l1cuO4T1TruPfj3qSPKryRWajHXE4P68NWUed4yeyIOvT6Fk6Rz2LXmVX+R7rhV63N6r/Xts/o1Nln/epG8Xnv9wRp1DMwN8NH0B3/v3q/zn+GF03f+yZNz4kSfDsgV1bu+LRLV2TuBawJqaLGX8xDmcfNMYZs1fVPABZEpuLV78zlMctsP6qdfnKxt7c71Du3DglbUDZi4Ldx1XOCl72I0mwYpVYyevzWXJ3Xkcmfdq/64siO3pHFZ0b2f9PZKJ3tZqBX83Tato3kCkFYf//sQHXPbkhwCctffGnJO5HZ7/W7Jy2yPh4Kub/JhSWxBj5NjrX+WFj5Ihw37yzU04fa+Na8f6Dj1g+ruQq4RMKZzwGAwY2sy1b1LG4VWUzUXOvG0cD7/5BYeVPMMlZdc07h5S0koWLK3km5c+u3zIp5tO2IE9Hhpe/3BhxTlBfVHE4ZY2gevEWYs48MoXmbVwGQC/3G9zTt51XXj9Nhh3czKMSJd+SYZ2UrW8xoZ7wYhroVOvevf/2cfv0vnmfelFMpn3A5m92eyUG9ikX9fUzklJIv7MW8fQ6f27lo///kXsyR3Z4TxWuheVSxfx9cxrHFDyEntk3qA8ZBvc58L2/ej08/dXWlaZzTFy3GTuHD1x+UuYr23Wh5tfmcDUfMzaqn9XbjphR9bqVA7XDF8xCXVdBu4EJz72VU5d6SmKGJwmk/EFrIkL3wOvT+G8u15naWVuxQNIgRa/uQOuINMaxite3cR6Y5Oyarvq+F2ZtP6hHPBMb07M3cMPSh6iNOQnLijrCHv/BoackIwzV3WTWNxjzRXNhS+NODx/SQW7/uUp5i2ppFN5CS+fMoiu/94dchXQriuc8Rp07tOkx5Taks9nLuJb/3iOxRVZyksy/L+zdmejPnW0aht1DTxyXvJ993Xh1BegfdF0RzcOr4IYI7+4963l83fc1/4CtuP9wgV86JZWyVPvfckJNyR/twN6dODZnn+mZNKrhQsU599WUcThlpSMX7i0kkOueon3pia990ds35+/Hbol4e7jC/d+Cxn42i9gtx9DJrNKx5n18Wu0u+U7dIrJML5XcSjbHXsxO2/Ys0nOoy0o1Mr9kCH5cfxruGvUp3R+6OSCDUO7hwV0DMsaVYc4cCfCKsaVibMWcfR1o/h8VvIz36RvZ245aUf6XDuk/heJ5Z3htFeTZ3u1NEURg9NkMr6ANC98uVzkH09+yOX5lpkAT3a/kA2X1NMioTXdJJlYVzN4+r1pnHTTGDaLn3BJ2TVskZmwYmWHHrB4du1Cm+9fjGPNFc2FL404fNUzH3PRo+8BcOoeG/DzGefDJ08nK/e9GHb8QZMeT2qLrnv+E/748LsADFuvB3ecsjOZmg9/McLtR8P7DyeftzwYDv1PsQwvVhQnAeneD1/y2Htc+XQyjnDH8hLGdzmH8oVTChcozta7UirOuG0cD76e/D39c7O32P+zPxXe+IB/wuDvraGarTFFEYdbSjI+l4uc9t+xPPJWMsTItgO7c8cpO9H+zf/WP9zsrmfBN37f6OMt/uBpSv97GGX5yeh+kz2RwSPOZVllXOUE85rS2MR3ZcUyxj14FV3evZ3uFdOYU9aH+ZsfweADTqOktO5n0sYco75W7nM3PpSzv7kZE2cv5rMZC/ls5kI+nbGQ9T8fyZ9LazcMrVPfrWCrQ5IXLf/7bZP1Zps6dwlHX/cKH09P5opZr2dHHut6Ie2+qP2CYCWZMtjuSNj1bOi54SofT6krihicJpPxBaR14Vu8LMuP7xrP/3tzxVhZZ+61Eee8NYLQ9roPSk3qv6M+5xf3vkkplZxW9hBnld1HJtfAW/zi6/ZeNBe+po7Di5dl2e2ip5i5cBntSjO8evBCuj14YrKy79ZwyjPF9mJGahbZXGTEv17k9UlzAfjDQVtx7E6Dam+4aBZcvRvMm5x83v9yGHLcGqxpaozDDaj+wqa8JMO/vz+M3Z4+HKa8VrhQa2qYIjWzGQuW8vVLn2XOogpKQ47XNr2Fbp89WvfGw38Bw3+2ZiuYvqKIwy0lGX/Z/z7k7//7AIA+Xdrx4Bm70bdre7j+m/VP0v4V4nblG/eQGXkiGSLZGPhhxdk8nhtWa7t9tuzHFUdtT2nJqrW8b0r1Jb4XbHoY/zx66Er1qqxYxhv/GMHghc/X2tfYTruzzdkjKS0rX61jZHORmQuWcuvLH7PZC2fV2cr9kewwzq04lUFhOhuFyWyUmcxGYQp7ZcbW2/J9KWW02+Ns2OpQ6LNZsjCFoYZnLFjKsde/yrtfzAPglM4v8ovKK1etcMgkDTt2OQumvtFWesS3ZEURg9NkMr6ANC58U+cu4eSbxvDm5OThtLw0wyWHbsOB2/WHa/eGyfUczwcQaZVUb2k3pMNU7ir9NZmKhYULFN/fVtFc+Jo6Dv/nxU+54MF3ADhlxz784tPjViQBT3gc1t2xyY4ltXXvfjGP/f/5ApW5SOd2pTxx7h6s3a1D7Q0nvAQ3fBtiDko7JC/Fqh70Wi/jcD3ufm0SP7nrdSCZ/O/Kowaz7xa94KpdYMYHhQsW38tzKVXV/9a27NeJ+3efSOn4W2rP3UGAY0cm43oXj6KIwy0hGf/oW1M59ZbkRWl5aYY7TtmJ7dftkaz862aw4IvChb9ig8L48r8Ij50PwJJYxvXZfdkx895KCel7snvwl0O34/ChA1f7OFWacniXR7LDmPC1K/jaFv1ZXJFl8bIs0569jgM//1PBoYlvW+dnhO2OIRMCIUAmBF77dBq7v/7Tgsf4U8efsiSXYeaCpeRi5JiSJ/hj2Q2Fhz+OgUxoXA5weuhF799+XHtFCiMizF1Uwff+8yqvT5xDhhzXdfgne8XaL3ziJvsS1t8dXroC5tfTq65KfT3is5Urz3tgAr8pFEUMTpPJ+AK+6oWvZiDv2qGMyXMWM39JJQC9u7TjmmOHJBeyymVwzZ4w7Z3CO/QBRFolMUbOuWM8941PLsqj2p9BX2YWLlB8vU6K5sLXlA8gSyuz7HnxM0ydt4SyksC4nV+k85grkpXbHQMHrWKrC0mr7K+Pvc8VT38EwN6b9eG644YS6ur//MxF8Ex+CIU+W8DJT0FZHYn71sM4XMDjb0/lh7eOJZtLnj/+MmJrjhg2EB46G167oXDB1WxlJ7VlNSfV/uk+m/Kj4Rut2GDszSuGGOnYE37wXJJMKw5FEYebIxlfPY/x+cyFzFy4jHzI5tLDt2XE4PzvyJdvwzVfg+zSwjtrikZPT/wGXrys4OpHssO4uvevue+MPVa6x2j08DENtEC//KghzFlcyeQ5i5k8ezGTZy9k7rNXcF7uPwUT3+NzGzA9dqc9y2gflrFFmECnUPj/a17swKjc5iymHYtiOxbTjnXDl+xdMr7gMT7KrU0FpawV5tOdBbQLlY37/wVyoYRMLDwp6/Qe29P7rGcavd/VNX9JBSfeOIZXP51FCVlGlDzP4SXPsE6YyZTYkzur9wqIFfDGHfDC32HWJ/XveKcfwdaHJvGuYy8o75S08L/7+4Vb+BffkLZrSlHE4DSZjC/gq1z4KrM5Tv/vOB59e2qd6zdfuwvXHzeMdbp3SP74R54Mb91TeIc+gEiNsqwyx3H/fpWXP5nJ3eW/Y2imnpZ2/baFU59bc5VLX9Fc+JryAaRqCCOAM7fJcu5Hxyetwdp3g9Nfg869m+Q4klZYUpFlv8uf55P8+J/r9+rE0ops7QfiXBZuPAAmvJAUHHoifOfSZqz5V2YczqueDPlsxgJmLayg6snjZ/tsxg+HbwgvXwmP/SJZ2K5rMsbwh08475DUBCbMXMi3/vEcSypylGYCm/brwuyFy5bH4UMn/4XM+FuSjfsPheMfgdLy+nfaOhRFHF7Tyfj68hjr9ezI/87dMxl25Z374d4fQn29j6FpGhTmcrz5hx3ZOtZ+nqtKSJ9XcQqPl3+Dzfp1YfO1u7JJ3848PH4S63x+X8GhXUoygaWVOeYvqWT+kgrue20Cm79Y9/Aur2Q34/64O/2ZxqDwJYPCl6wXvqRrWPTVzq0ZLKOM8p1Ohl6bQO9Nodem5N57mMyDZxRuTX/AFWQGH7tG67l4WZYDr3iBD6YtKLjNxYdus6JHRLYS/rUjzPxo1Q9S0i5p/LFkTuFtCnnAxdkAACAASURBVP0O25q+IUURg9PkK54UjBw7uWAiHuDoHQclifgY4ZGfrkjEt+8OO58GHz3pA4j0FZSXZrj62CEcetVL3DFzOEMzH9SaXGa5ae/Ay/+CHU+FzJofa1DpqUoC3T76c16fmAwPlgmRHy76v3y3bGCvX5uIl1LSvqyECw/aiiOvTboXfzojeWifMncJr02YzVPvTcuP81oCI66Bq3dNJtsecz1sMBy2OKD5Kq+vrL6kzvo9O3Hy7uvD+4/AY79MFoYSOPwm2PBrsMdP1nBtpeI0qGcnzt57Y/7y6PtU5iJvT0nGYq6Kw89vfjSX932d8OWbyZCpj/8K9ru4mWut5lJfHuOzmYsYOXYih8+/BZ6r9jvSqTcsnF67wOb7J3mMryqToaykBOpo8F2VOD6zZCRzl3bi48/W4dZP+5IjcEXZ5exbtiKx3j/MZGjmAx75cByDLziHxdlANpulN3NYJ8xkRMlz7Fs6us5JTHcqeY+deG+1TyEbSslm2hOyiymjcAv0HIEMjWssG4HQZZ18a++1WDrpddpVFE4uz+2xFb33+fNKyzLbH03uw8fJvLdy6/AQIG62P5ntjmpUnZpCh/ISOrWvP135jyc+oHO7Ujbp25lBPTtRWrG4cRng7NL6e3YAPHgWjLsVem28/OUFa20AT/wa3ntoxXbzJiXzJ3z4mK3ptUr8DUnBHWMm1rv+vnGTOWanQfDMn2H0dcnCsk5w9N0wcBjs+dM1UEupuHXrUMYNJ+zAIVcs4ZGl4+ps5QBArgIeOz+5mB54Jay1/pqtqFJRKAm0X3iFDpPyrW/7bQNDT2iG2kltx8RZiwuue/TtqYwcNzlp1dStPxx0Fdx2RLLygdNhne2g+7prqKZqavUldT6duZAnn32Sb718IlQlHva7JEnES2pS3ToUbun+4Luz2Wffi/n2nCNg6Vx49f9g4A7JUA5qc24f/XnBdZ1ZxPr/OwWWvrJi4S5nwtd+BW/d1aTjhtc0sHR2ncn45eszM7im/O8AVMYMs+lC7zC3zpbe+5aMZpPcjykvqaRf6SzKwsrJ8bpG06tpWWkXlnZdj9J5E+lQWTjxPb37NvQ+8xlKMiWUAKNHXsawN35TsAX6mG1/zw4HngbLFkLFIli2kNk3HEmP+e8XPMaM7tvR++xnl38ue+0mqKeVe8/dT6y9k0wJmcNuqHP899CMDUO/nLuk3vVT5i7hR7eOBaCsJHB3eWe2rWf7+R0G0GWHo2HRTFg4AxbNJH7+MiFXzy9XrhI+fyn5WhXvPpj8PzrEtBpgMj4Fk2fX311pypzF8MrV8OxFyYJMGXz35iQRL6nJ9O/ege/uuD6nP3kmI3IrjzV3d3YPejGPc8tHUhIrYcKLcNWu8M0/JAnaVbkTU4tVVxKoE4v5VdktKxZ8+1J7HUkpa6iBwp2jJ67oYrzpvkkvpVFXw5K5cOOB0KkXzJti999WqL6ffW/mMPiF30IuP8TBjj+EYXUkCCR9ZXePnVTv+v+8A98++Gq4Pd+K+YEzoe9WxTCZtlZRjJHH3v6SNybNrXP9euELri27lI2XTk4WlLaHA66AbQ5LPm9/TKrJx469BsGkwiMPVFcacvQmOY+aj3NVnzfM1DPpbAHzQhe6nng/rLU+5R3XohzINZT43uOUle5ZBh9wGmM/foLBC5+vVa+xnXZnyP4/SrZv3zX5AroNP72BY5y00r5Wu5V7SWnqP8fGWrt7B6Y0kJCvUpGN3LJsT7Yte7/g/9WFC77D22/tQbcOZXTrWEa3bmUcX3YKGy8tPHdjZUl7SokNt6CvbtQ1Ler/US2TyfgmNnvhMuYvrX/SjO+2exkevST/KSRdszfaO/3KSW3QCx/NIEsJd2WHc1d2eK31X/QYzqXlV8PUN5JxDx8+F959ADbcO2kt7xhwrVJdSaAzS0fSL8wG4H8d9uHrvgCVUvfFnMIt4yHfQKG6b/weJryUxOTZnyRfYPffVqYym+P9qfPqXNeOZVxTfim9c/lhDTb+JnzrwjVYO6ltWaU4vNl+sNu58MKlyf3wnccmk2m367KGaqnm8tJHM7josfd5fWLSwrtqwsyqsdYXxvYMCNPpGJYlBboOgCNugXW2X2N1DIOPhUmjag07uvzzzqcnPelmfAgzPyT7yXOUkCu4vwiEnhtB1/7QbSB0G8D80bfSZVHhl8hLu28EA4astKyxie+S0lK2OXskrz50NV3euY0eFdOYXdaH+VscyZD9f0RJae17m0Yn11toK/fV8d2hA3ltwuyC60/dcwP69+jIh1/O54Mv53Pvp3uwV7Z2j/gQkol+76zYjdzklV84VZTsxiVl7xRM4P+15GQOO/E81i+ZSWbWhzD9/WSEi4p6GuBOfR2u3CkZqmnz7yS9sXNZx5jXSnySaUITZy3iuP+8ysKlhccB2yszljPm/33Fgu9cCluNWAO1k9qmhh5AXlnYD057Cp77Kzz/16Qr2ifPJF9VTAK1Op/NWHmyn43DJE4oeRSAObETf8sewdebo2JSG9NQq6Z2ZTUeQErbwRYHJsn4utj9t8WbPn8pZ942jgV13g9H/lp2Ndtn8hOs9dkCDrneB1EpRQ3F4bU65Yex+dovYdJo+Ox5mPFB0kL+0H/bW7RIvT5xDpc89j4vfDRj+bISsslY69WTmdV+/NN7DKb3iXeu+fmWtjsKPnyM8G6NhDQkCc9v/H6l68jsy/ak1+zxBXc3o/t29D7j2ZWWderaf40M71JaVs4OB58JB58JQL+Gzn11kustsJX76jhkyACeem9anUPe7bNlP8771maUZFb8sA656iVOn1C7R/yd2eHck92D8tJSOrcvZe7iCiqyyRB592T3YK9M4QT+NfN25Oq/v0DX9qVsO7A72w38Fid0HUmPmePqr/z0d5Ov5y5OXhRlSmHWJyvWm19o8/yJN5F3pszj+/95lWnzk+4rncpLWLhs5YeQYeE9rm53OZmYX77Xrx2vWEpZQw8gSytzLKwMdPra+ckQCbcdAfMLdF00CdTiVWRz/P2JD5i5sKJay56n2Tp8unxMyEsqD6dTv77NXFOpbWioVdOnMxZyxm3j+OOBW9GtY1my8MPH69/p2JuNwy3UaxNm8aNbx/LlvLq7c59deg/7lyTjDS8pX4v2R96+vCu+pHQ0FIc/mLaA+8dP5sDt+ifJ9//bI7kXfnskTH4tadFpK85WqTKbY+TYydwxZiJfzFnM2t07MHyT3rw9ZV6tBOfOG/TkT+uPZ/0X657EFKDnrt9b84l4SH7nDr2hzoR0XWPTr7XbiY0a2gVa+PAuRZJcb6ySTOCKo7Zn5LjJ3Dl6IlPmLGad7h04fNhADhk8YKVEPKyIdYV6xP/+oK04fOhAYowsWpZlzuIKTrpxNKd/UTiBnyMDwLwllTz/4Qye/3AGU0uGcUnZuIK/X7O7bkaPRZ9BZT4HMafwXAzmF9quEGPjZmtuK4YOHRrHjBmzStu+9NEMfnDza8uHp9l+3e7831HbMuGp6+ny7u10r5jG4tKuDMxNpjSXfzjZ+XT45h9taSCl7M7RE/npPQVaWOat17Mjlx2xPdsO7A7XfT1pFVTIwJ3gxMeauJZNqmiCSmPiMCS9k868fRzjPp9Td8uevEeyQ1mw/3UctoOT9Uppy+Yip906tuBEnlXW7taevx22Lbts1Asu3TJpMVRIl/7w48Lje7YAbS4Oxxi54aXPuPDhd6nMJc8WG/buRP8u5fSdcC/fLXmGDcIU1gpJr6WKUEbm+w9TMmjHVOsvadXj8NE7rsuvv7MF7Se/Ajd8m+WTK1e3+f6tpRVnUcThxt4LV1eZzXH6f8c1+HPfun83frrPpuy2QQ/CVTsnvSIKafnPQYlcltydx9VKrEOSWA+H31j3S6Vs5Son/NXy1Bfr9tmyH1cePbhWAr+hXMGIwf0py2QYP3EOH0ybT4yQIceVZZcVeM4cxp87/Yyrvrslmy16lZL3HoK3RkIsPHoGa28PP3hmlc+zlSiKGJwmk/EFrOqF74HXp/DjO8cv7+ay92Z9uOKIbehw/4nJW666bHMEHHQVZDJNWWVJdajvolxemmFZZTKeYGkmcM43NuFH4w4k1JcEKusEp42C7gPTqvJXVTQXvsY8gDz4+hR+MfLN5S9Fjyl/jj9mri7YYiF3wBVkBh+bRrUl1VCZzdXZqmmdbh047+7X+aJa76WTd1+f8784i8ykVwvvsLwzHHMPrLvTGqj9amlTcXjh0kp+ds8bPPTGil5l+23dj4tHbEnH+0+qOxmy9vaEk/7XGhJ6UlGoKw4fMmQAE2Yu5OpnVwydsMXaXblp+/fp9dSPC+/swCtbQyvOoojDXyUZ31CSsXeXdlxwwJbsO7CSMP7WJAFd3zMQJOPFn/v2atVnjTOx3iYVuuesqyU9NC6Bv2BpJW9OmsspN49h0ZKljCipvzV9l3alDF2vB5d/cTRdlk2rv+Lr7wHbHZO88Czv+NX/I5pfUcTgNJmML2BVLnzXPf8Jf3z43eWfjxg2kD8etBWlr98KD5xeuOD+l8OQ45qqqpIaUOiivOcmvTl/5Js89d6Ki+NjXf7IphUNtLjMlCV/w7v/GLquk3LtG61oLnyrEocXLavkdw+8zZ1jkoeHQI4j+k7iD8v+SuniGYULtpaWPVKRm7uogl/f/xYPvD5l+bIze7zCuYsvrzVRWy2bHwDfuADW2iDtajZWm4nDH01bwKm3vMZH05IW76WZwPn7bc4Ju65HGHdL/ffDrSOhJxW9p9+bxjl3jmfOogoA7m13AduH9wsXaB2tOIsiDq9uMv6jaQs45vpRTJ+7cKXJWL+IPbkjO5z7srtyQt9POL/vqGRouFh4stOVeP+sItTYBP4hV71U79BfNd1d/juGZurpcVJdeRfY8iDY7mjoPzR5odQ6J30tihicJpPxBdS88FVWLGPcg1ctH3bmy9CTW5btufzN11l7b8zZX9+YMH8q3PgdmPlR4Z17EZNajBgjN78ygQsffpellTkOK3mGS8quqZUEqjMpVNIOhp0Iu51DZbvuK8WIOWV9mL/5EQw+4DRKSmu3/KsZUxravhFliubCVz0O13Xunw86hIu/2J6PZi5hwzCZg0te4NiOo+i2rP7uuEDratkjtQH3j5/Mr+57i/lLKsmQ419ll7FPHd1/52e60iU3b8WCTBnscDKVu5zNuP/dnkZMXZ0ybSIOz8j04taKPbmjYndyZOjTpR1XHrktw9p9Dp88Cy/8HZbOK7xz74elFmPynMWc8d+xjP18Di+2O4P+YWb9BQYMgy0OSpJG3QYAqcbU1dm+KOJwQzmJ6uc/c1ElD7w+hfvGT+atyfPqHbJxSSyjfahYeWFZR1h7W/j85cIV8iWq1GCvk6N2XJeSEBj16Uw++HLBivxCgR7bE+nHQGo/v8ayToSKhbWXb7Y/4bAb6uxdmGJMbWyZoojBaWozyfgQQl/gBmAtYB5wXIxxSqHtaz58vPGPEQxe+Hyt7Z7Nbk351iPYufxjmPAizP604cqYBJJanA++nM+Zt43jg6lzC44BN67jrmyz636UvHQZLFzRmj6WdeRL1qJfRe2unWM77c42Z4+ktKx8+bL6Ykpd2zeyTNFc+KricH3n/k5uXSopYZvMKsTe6kwCSS3O5DmLOfeO8Yz6dNbyCZhrd//dnZt2m81un16+UsOHSkoppbLWPpsgpq5OmTYVh5/PbsVH3XflqD4TaDfpZVg6d9V27v2w1KJUZHNc/Oh7fGvUcaveihNgwA5kN9+fd154kK0X1x5irKnicCO3L4o4vKo5iSfZkVOXnk5FTFrLllLJ90se5Vdl/y04Gety/baGId+HrQ9LhoG767i6h9vdfH84rMBY61Ib0pihbWYuWMo3//YUf6z8W8Ex5k+rOIv1wlQOLX2ew8teoFeu8MvQqr/n7M5nULLDydC1//KkfMoxtbFliiIGp6ktJeNvAf4ZYxwVQhgKnBtjLDAl9soXvtEjL2PYG78p+Car0UwCSS3SkoosJ904hpc/+rLgGHCDB/Vk+7Xbsevse9lxys10qJizvHyhGPHygJPoPfSgZGEITB99LztPuq7w9gNPos+wESvVbdrokew8sXCZV7f9AzscfCYU0YWvKg43KgaXd06GrujYE17+Z+Gd27JHapGyucgeFz/N5DmLC27TrjTD1mt3ZET2MQ6cewudsnUnf6tixEsDTqLPsIPzS5OgMX1M/TH15XVPps/QuuLwtcbhprgXBu+HpRbqvn//hYM+/3PhVpwlA+mfnUyG2kObFCrz0sCTasXUxsbhRsRgKJI43JicxLu5geTI0DfMZq0wn0xdE/BWs7i8Jx2OuxvW2X7lHTrWutSgxgxtc8hVLzF+wowGx5iHZHLY3TJv8veyf9EzzG+wHrlQwtKOa7Oky7rMX7CIdReMb7KY6r1wutpEMj6E0B24Lca4b7VlDwNHxxjn1FWm+oXvvQt3ZrOGxpCGJPkzaBcoKYe37im8nUkgqcVqzBhwnVjMcSWPcW7p3ZSGVRxrMSXvlm3B5r98GYrowlcVhxuKwREIG+4N2x4Bm30byjtBLmvLHqmV2uXPTzKl2qSu9enKQh5v91P6hVUfuzMtbTkOL9dz42QSsg32hHlT4NGfF97W+2GpRTrsX89zwhcX1NuKswfz2adkNN/OvMKOmXcpCc2fU6gWg6FI4vBq5SRWUew6gGDvJCl1DQ1rc/Lu69OhrIRRn85i/MQ5LK3MrdpwYS1QMd4Lp6XuQYCKz/pAzUHcP8kvH1e1IIRwCnAKwLrrrrt8w+4V9c98PJfOdDvtKei1SfI6KJeF7LLCSaBtj1zN05CUti/qaY1Z00I68K/sQRxT+gTr0LyJoB4NxKnWoq443FAMns5a9Dl25MoLMyVw6A227JFaobW7d6g3Gd+uNEO70gzzllQyj05kq7Uoak5tOQ7PoTPdz3k1mVysSi6bDOHo/bDUqkyeu4zTK85kRK5wK86ZdOPW7Ne5Nft1ejGX/7X7Cd1D7bGN16RijsHQcByOQOjUB7r0gy5rw5SxsHB64ePkx/qXlK5DhgzgqfemFRzW5uf7br68Nf3SyixvTprLtP/0oj+Fk/ETc714Prc1A8N0Bobp9A8zKAvZ1M5hVRVLHF4T2koyPkCd/bRWWhZjvAa4BpK30FXL55T1oV/FjII7n1K2Lt16b7pigUkgqdVqKAm07YBuXH7k9ixYWsnCpVkWLq1k1p19WSdXOBk/lZ58OuDg5Z83mHQvfeu5uCbbH7TSsg0m3VdvmdllfehXcG3rUVccbigGzyzrR5+6VpSUJq0ubXkptSrfHTqw3h5KfzhoKw4fOpBllTlmL1rGjMv60D/bUEw9mOq3fQ3F1C/pyScDDlxp2QaT7jcOF/BF2bp0r56IB++HpVaq6l74ruxw7soOr7W+rnvhSXcOpHvuvYL7XJ1725pxuC3HYGg4Dr9Xujmbn/fKigVjb4YHTi98oMHHfvXKSmpQSSZwxVHbr9KwNu1KSxi63lpc2W1ftp/3fsHhYP7b/kg2+OYPmJSLfJbNUVlRwU5PfZfN+bhgPRobU9vyvfCa0FaS8Z8BG9VYtkF+eYPmb34E1DM+2/wt6mjZYxJIapUaSgIdvdMgBvXstNKy0VsdVW+M+Hzbs9l5xRiWjB65Ln0bsX1SZlC9ZeqMQ0VitWKwpFaroRZEhwxOWvOVl2bo27U9n295ZKNiMDQcUyfUWWY943Bjz937YanVWRP3wtD4ONyWYzCsQhzessZ0eNsdBR8+Zu8kqQUoLclw+NCBHD504Cpt32e343nkwRdrDRcWQjJc2AbfOInDauxr9Izj6o0RjY2p3gunq2X0601ZjHEWsCiEMBgghLANMLPQePE1DT7gNMZ22r3WBFUhJDMGD9n/R01dZUnN5JAhA9hny7rf51ZPAlXX2BixOjGlLcehtnzuUltU1YLo4kO3YeigHqzTrT1DB/Xg4kO34cqjB9eaGGtNxdS2HIva8rlLbc2auBdenTJtPQ41+vyreicdeGUyYXbXAcm/B17p3ElSCzdi6CAe3PhPnFdxCqNzmzA59mR0bhPOqziFBzb+EyOGDKpVxpxE69ImJnAFCCEMAK4HOgNzgeNjjF8W2r76ZCkAlRXLGPvQ1XR55zZ6VExjdlkf5m9xJEP2/xElpW2lg4HUNjRmdvTlZRoZI1YnpqximaKZLKV6HDYGS6pPijF1dcoYhyW1amviXnh1yjRi+6KIw+YkpLbLnERxazPJ+MaqeeGTpFaiaC58xmFJrZRxWJKaV1HEYWOwpFaqKGJwmtrEMDWSJEmSJEmSJDUnk/GSJEmSJEmSJKXMZLwkSZIkSZIkSSkzGS9JkiRJkiRJUspMxkuSJEmSJEmSlDKT8ZIkSZIkSZIkpcxkvCRJkiRJkiRJKTMZL0mSJEmSJElSykzGS5IkSZIkSZKUshBjbO46tEghhOnAhAKrewEzGrG7xm6/psoUyzFWp0xbrldbPvfVKdPajjEjxrhPI/fVItUTh/1dSfcYq1OmLderLZ/76pQplmPUV8Y4XLeW+HNs7t+V5jzG6pQplmOsTpm2XK/WeO5FEYdbYU6iNf6uNGeZYjnG6pQplmOsTpm2UK+iiMGpijH61cgvYEya26+pMsVyDOvV8o5hvVreMYrpy9+VtnnuLbVebfncW2q9Wuq5F9NXsfwcW+rvSluuV1s+95Zar2I692L6aok/x2L6XSmWennubfPcW3K9/Eq+HKZGkiRJkiRJkqSUmYyXJEmSJEmSJCllJuNXzzUpb7+myhTLMVanTFuuV1s+99UpUyzHKCb+rrS8Mm25Xm353FenTLEcY3XLFIti+Tm21N+Vtlyvtnzuq1OmWI6xOmXacgyGlvlzLKbflWKpl+fe8sq09XoJJ3CVJEmSJEmSJCl1toyXJEmSJEmSJCllJuMlSZIkSZIkSUqZyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWUm4yVJkiRJkiRJSpnJeEmSJEmSJEmSUmYyXpIkSZIkSZKklJmMlyRJkiRJkiQpZSbjpSIUQgjNXQdJkiSpOXgvLElrTgihJISQCSGUNnddpNbAZLzalBDCN0MIj4QQngghrFvPdhtXv5CEEL4TQvhBtc8HhBBOyn+dEkLon1++RwjhlynW//IQwkZ1LL8lhNCt2qKrQwjr1LHdoBBCp2qftwoh/Dml6kpqI1pTbA0h/DSE8GwI4ekQwlMhhGdCCL8MITR4TxRC+EYI4Vd1LF8vhLBFtc/9Qwj/qWO7u0IIPat9HhxCuLSO7YzVklLRWuJ1CKE8H5sfzt//Dsgv3yWE8Ls6tvdeWFKr0Iri8H35ej6ej8VPhBA2DSH8XwhhUI3NDweeAB6tVv6qEMLGdezXOKw2z7dWahNCCAcB+wKLgDfyi88JIXQAbo8xPlOjyCXAodU+V+S/qpwIHJ3//lxg7xDC94FOwL1NUN+tgL8DJUAlcEaM8f18HXJ1FNkGyFbfRYHtziM5t4X5zzXPS5JWWSuMrVsDw4DhMcZYbfnfgK8Dj+c/rwVcB6wFzAFOiDHOApaSxNeaDgLaA+/kPy+lRoOHfLJ/N6AvMDOEUEISt5fVsT9jtaQm1driNfBLYBpwGDAEuIEkTmdZ+Z63ivfCklq0VhiHR8QYcyGE5/PfL8ifRyQfb/NJ+RuABST3zGUhhMeBZ0hi8JI69mscVptnMl5tQozxvhDCU8DPgW1JLh4vAn+NMa50Qx9C6E5y079hCGFL4EygB0lyvEq22sVoGfAZsDewK7BzzePnky5PFqjed6r2Vc3vgKNjjNPyrXr+QfK2OUuNB4sQwk4kSZ8zgT9VLa6jDqUkiaAH8m/N/0ySPHqkQL0kqV6tMLZ+TBL3zgwhvJWv70BgPVY8FAH8FvhnjPHpEML+wK9IHnJqJeNDCAEYQfIAsvy/htrJoqOAp4GzQgg/JXlIagc8X2N/xmpJTa4VxuutYoyH5L9/PoQwJ4RQRnIfHKtv6L2wpNagtcXhfCK+L8l98r7AXXWc0wTgayHpIboTSVL+iRjj7BDCv6iRczQOSwmHqVFb8nvgTZK3y0eTXBi+X8d2vya52PwaeDDGOBw4jZVv6mu+yBoAPAVcSo0HBIAYYzbGOLzAV82Hj6r9V1YVr3bsHPDzEMJ+ACGEHiQXsH2AoSGEr+W3C8CdIYRjqu3zPOBk4HjgzRjjnsAh1PGwIkmN0Gpia4xxEXAASVK8G9AL+AA4PMY4tdqmW8QYn86XeRDYMr88R+17px8DNwIvhhCOrbbd8henIYRhJP83x5G0hD+bpIXnqTXriLFaUnpaTbwGRocQTg4hdAgh7Ax0jTFWkPQaXc57YUmtTKuJwyGEcuAq4GDgqBDCdtVW3x5CODG/3VYkL0LfAmYCI6ttd0vVdnnGYQlbxqttWUAy5EAguTiVUC2pkh+37K/AXTHGt0Iyju+tIYSqZEn1BMy4EMJlJMmWLsCDwF4kb6F3aYK6/pnkbXElSUvMM6uqSfLm/KN8l7DbgLNijJNCCEcBl4cQOubreliM8cv82+ffAe/GGEeHEM4HbgwhnEuS8PelnKSvolXE1vwDxJ9YkSiP+a9SoCQfO/8RY7yX2g8EtV6O5lsXXQCUxBj/mv98XT7mPlBtu+4kDx5H5xNJZ+ST9hmSxPy0/HbGaklpaxXxOu8SkheXdwGTgJPyyytJhnjAe2FJrVCriMMhhPWAf5L0FB0TQjiOZC6Oqpb5x8QYP8t/PwmYCmwNlANjq3YDHBlj/Nw4LK0sVBsyVSpqIYR2wM+AU4B5wH+AS6u6hIUQ1gd6xxhfrVamDzCd5IK2eYzx2mrr+pI8GAwhGZftS+BZ4LkY44c1jt3YrrmFzuES4P9ijB/lP3eLMc6tY7ubgJ/kh7npDWwTY3yy2voeJGO09QF+GGNMbdJZoEF0hgAAIABJREFUScWttcTW/ENAB5Ib/sr8sXePMf6h2jYhxhjzDxrPxxhHhhD2AA6NMZ4ZQtghv9/f5M97zxjj4zXq1DV/nItijN+vtnwXkjGNl7HiJUB/4OMY483Gaklpay3xulqZnUmGR1hKkmwqJRlabFaM8cb8Nt4LS2o1WkscDslcRx2AdfJ13YwkBk8C5gJ/jDHOqbZ9V+A3JAl5gInAFyQNCecah6WV2TJeRS9/0YkxxqXA70MIc4HJMca7q28XY/wU+DSEcCjwaYzxtRhjVYvFCmBWjV3fR3IhvZRkwpG1SVo/zgNWuvDlL67DG1nvbwJzY4yjqi2eBCyutt+5IYSLY4w/rVF8bNV2McbpwJMhhN2AbjHGh2OMs/PHCCRvsSWpUVpbbI0xVgLzq9U/S40uvHFFC4XfAzeEEM4kGQu+qnttJv9F/rwfDyFsQ9I6flx++bz8A0nNFj79ge/mj1k13E0P4PZ8OWO1pFS0tnhdzWYkwzdUsqI301r541bt13thSS1ea4vDMRkvvgK4FTgLeJ0kFq9PMp/dQFaeL+lKkvmQfkvS8GTj/LLrSHIaxmGpGpPxagu+TTLO+hJW3MznQjJ2WQlJV6p/xhjvyW/fD5hRfQf5hHj1pHiVt2KMVcnxiSGEUSRvj5vCOkDHGvW4rI7tNq65IMb4jzq2604yPnL17SaSdD+TpMZqrbG1SkmhFfmHgwPrWJWh9hA22+WXjau2bDK1x//sB1wQY3ymgXoZqyU1tdYarweQDAf2TIwxV8923gtLaulaYxzOAEuAcTHGJfll74cQ3gf6kox9X6UMGB9jXJj//E4I4VOS4XOqMw5LmIxXGxBjfIBk/N7GuDSEMJMV4wSXkEww8uNq25wL3BxCKCO5UGVJJi35xVescpUM8IsQwvEkf6vtSS5y98YYq8+ivk4I4X81ypaSdHered4/CyEczYrzygAzYoxHN1GdJbURrTi2VllKMm5nYywi6XZbXQnwkxDCESR1DSSxeg5weLXtSknOfzrJ+ZeQxPUnqw+Vk2esltRkWnG8DsDFwKwQQlUyvgwYFWOsfgzvhSW1aK0xDscYl4QQ/kHSoh2SFu+lwHMkE8VW9+N8fddixTj498cY36pj18ZhtXmOGS+1UPnxjctILqiVhVoE5bu8QdLtLZfv5pUBctE/cElKVdU48zWXAZmq8T+rLcO4LElfTc24672wJElqTUzGS5IkSZIkSZKUspqTi0mSJEmSJEmSpCZmMl6SJEmSJEmSpJQ5gWsB++yzT3z00UebuxqS1FihuSvQVIzDklop47AkNa+iiMPGYEmtVFHE4DTZMr6AGTNmNHcVJKlNMw5LUvMyDktS8zEGS1JxMhkvSZIkSZIkSVLK1lgyPoRwfgjh1GqfNw0hPBtCeDWEcE8IoXO1dTuHEEaFEEaHEK4NIZRWW3dACGFM/uvCGsc4JYTwWghhbAjhtBrrfpsvMzaEcEia5ypJkiRJkiRJUnWpJ+NDCP1DCK8A59ZYdRlwfIxxB+Am4Lf57cuAi4D9YozDgLeAH+TX9QLOAXaLMQ4FOoYQvp1ftwWwLzAUGAIMDyFslV+3L9AzX2YX4Ef5fUmSJEmSJEmSlLrUk/Exxskxxp2A86qWhRC2Bj6PMX6S3+Z+kiQ5wD7AozHGmfnPVwGH5r8/Erg2xrgk//ki4IT89ycCl8Q84G/A8fl1JwF/yR9rCXBtfl8rybesHxNCGDN9+vSveOaSpMYyDktS8zIOS1LzMQZLUvFrrjHjNwLer7FsVgihR811McZlQFld5WKMU4G+Bfb5YX4ZQN8Y45QC65aLMV4TYxwaYxzau3fvRp+UJOmrMQ5LUvMyDktS8zEGS1Lxa65kfABiHctjgXVVn1d3XV3qWydJkiRJkiRJUpNprmT8J8AmNZb1jDHOqbkuhFAOVNZVLoSwNvBlgX1uAnyU/35GCKFfgXWSJEmSJEmSJKWqWZLxMcbxwCYhhEEAIYR9gOfzqx8F9s8PWQPJmPB35r+/HfhBPkEPcBZwff77m4AfhzzgdODf+XU3kh+zPl/2e8BtaZybJEmSJEmSJEk1lTbjsc8CbsknzieTn4g1xrgkhPBL4NEQQiXwOnBGft3UEMJVwIv5dY/GGB/JrxsbQngeeBXIAv+OMb6TX3dvCGGHEMIokuFp/lRtglhJkiRJkiRJklK1xpLxMcYbanx+E9i9wLbPADsWWHcnK1rK11x3OXB5gXXnr3ptJUmSJEmSJElqOs01ZrwkSZIkSZIkSW2GyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWUm4yVJkiRJkiRJSpnJeEmSJEmSJEmSUmYyXpIkSZIkSZKklJmMlyRJkiRJkiQpZSbjJUmSJEmSJElKmcl4SZIkSZIkSZJSZjJekiRJkiRJkqSUmYyXJEmSJEmSJCllJuMlSZIkSZIkSUqZyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWUm4yVJkiRJkiRJSpnJeEmSJEmSJEmSUmYyXpIkSZIkSZKklJmMlyRJkiRJkiQpZSbjJUmSJEmSJElKmcl4SZIkSZIkSZJSZjJekiRJkiRJkqSUmYyXJEmSJEmSJCllJuMlSZIkSZIkSUqZyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWUm4yVJkiRJkiRJSpnJeEmSJEmSJEmSUmYyXpIkSZIkSZKklJmMlyRJkiRJkiQpZSbjJUmSJEmSJElKmcl4SZIkSZIkSZJSZjJekiRJkiRJkqSUmYyXJEmSJEmSJCllJuMlSZIkSZIkSUqZyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWUm4yVJkiRJkiRJSpnJeEmSJEmSJEmSUmYyXpIkSZIkSZKklJmMlyRJkiRJkiQpZSbjJUmSJEmSJElKmcl4SZIkSZIkSZJSZjJekiRJkiRJkqSUmYyXJEmSJEmSJCllJuMlSZIkSZIkSUqZyXhJkiRJkiRJklJmMl6SJEmSJEmSpJSZjJckSZIkSZIkKWXNmowPIawbQng4hPBMCOHVEMLB+eU7hxBGhRBGhxCuDSGUVitzQAhhTP7rwhr7OyWE8FoIYWwI4bQa636bLzM2hHDImjlDSZIkSZIkSZKav2X8xcCFMcbhwL7ARSGEMuAiYL8Y4zDgLeAHACGEXsA5wG4xxqFAxxDCt/PrtsjvYygwBBgeQtgqv25foGe+zC7Aj/L7kiRJkiRJkiQpdc2djC8BJuW/XwB8AuwDPBpjnJlffhVwaP77I4FrY4xL8p8vAk7If38icEnMA/4GHJ9fdxLwF4B82Wvz+5IkSZIkSZIkKXXNnYz/KfD3EMI5wN3AucBGwPtVG8QYlwFl+Y81100F+ta1Dvgwvwygb4xxSoF1y+WHuRkTQhgzffr0r3JekqTVYByWpOZlHJak5mMMlqTi19zJ+KOBR0lav18A/BnoCMQa21V9Dqu5ri611sUYr4kxDo0xDu3du3fDtZckNSnjsCQ1L+OwJDUfY7AkFb9mS8aHEDYHNogxXhtjXBJjHAPcDpQCm1TbrhyozH/8pMa6tYEv61qX//6j/PczQgj9CqyTJEmSJEmSJClVzdkyfh6wdQihC0AIoR1wOPAMsH8IoUd+uxOAO/Pf3w78IJ+gBzgLuD7//U3Aj0MecDrw7/y6G4Hz8scpB74H3JbSeUmSJEmSJEmStJLS5jpwjHFyCOFPwKMhhGUkLwauizE+G0L4ZX55JfA6cEa+zNQQwlXAi/l1j8YYH8mvGxtCeB54FcgC/44xvpNfd28IYYcQwiiS4Wn+VG2CWEmSJEmSJEmSUtVsyXhIkuTAvXUsfwbYsUCZO1nRUr7musuBywusO3+1KypJkiRJkiRJ0lfQ3BO4SpIkSZIkSZJU9EzGS5IkSZIkSZKUMpPxkiRJkiRJkiSlzGS8JEmSJEmSJEkpMxkvSZIkSZIkSVLKTMZLkiRJkiRJkpQyk/GSJEmSJEmSJKXMZLwkSZIkSZIkSSkzGS9JkiRJkiRJUspMxkuSJEmSJEmSlDKT8ZIkSZIkSZIkpcxkvCRJkiRJkiRJKTMZL0mSJEmSJElSykzGS5IkSZIkSZKUMpPxkiRJkiRJkiSlzGS8JEmSJEmSJEkpMxkvSZIkSZIkSVLKTMZLkiRJkiRJkpQyk/GSJEmSJEmSJKXMZLwkSZIkSZIkSSkzGS9JkiRJkiRJUspMxkuSJEmSJEmSlDKT8ZIkSZIkSZIkpcxkvCRJkiRJkiRJKTMZL0mSJEmSJElSykzGS5IkSZIkSZKUMpPxkiRJkiRJkiSlzGS8JEmSJEmSJEkpMxkvSZIkSZIkSVLKTMZLkiRJkiRJkpQyk/GSJEmSJEmSJKXMZLwkSZIkSZIkSSkzGS9JkiRJkiRJUspMxkuSJEmSJEmSlDKT8ZIkSZIkSZIkpcxkvCRJkiRJkiRJKTMZL0mSJEmSJElSykzGS5IkSZIkSZKUMpPxkiRJkiRJkiSlzGS8JEmSJEmSJEkpMxkvSZIkSZIkSVLKTMZLkiRJkiRJkpQyk/GSJEmSJEmSJKXMZLwkSZIkSZIkSSkzGS9JkiRJkiRJUspMxkuSJEmSJEmSlDKT8ZIkSZIkSZIkpcxkvCRJkiRJkiRJKTMZL0mSJEmSJElSykzGS5IkSZIkSZKUMpPxkiRJkiRJkiSlzGS8JEmSJEmSJEkpMxkvSZIkSZIkSVLKmjUZH0LIhBD+EkJ4IYTwbAjhZ/nlO4cQRoUQRocQrg0hlFYrc0AIYUz+68Ia+zslhPBaCGFsCOG0Gut+my8zNoRwyJo5Q0mSJEmSJEmSmr9l/M+B2THG3WKMewJ3hhDKgIuA/WKMw4C3gB8AhBB6AecAu8UYhwIdQwjfzq/bAtgXGAoMAYaHELbKr9sX6Jkvswvwo/y+JEmSJEmSJElKXbMl40MI5cAI4OKqZTHGT4F9gEdjjDPzi68CDs1/fyRwbYxxSf7zRcAJ+e9PBC6JecDfgOPz604C/pI/xhLg2vy+atbplKpW99OnT2+aE5UkrbL/z959x0dV5f8ff51MEgghJHQChCpIUWqoimIHFV0FUXEtq66V1a9b3XV/25vurrtWLGtlVQRBVyywa0EREAIJoDRRWkhASiAEQkhm5vz+uJM+JZnMpPF+Ph55cGbOnXPPSBzu/cznfI4+h0VEGpY+h0VEGo4+g0VEmr+GzIzvDawHZhpjPvL9nA+cAmwpPchaWwzE+R5W7dsLdPbXB2z1PQfQ2VqbG6CvjLX2GWtturU2vWPHjnV6cyIiUnv6HBYRaVj6HBYRaTj6DBYRaf4aMhjfGrgA2GutPRe4Bvirb062yrGlj02Yff4E6xMRERERERERERERiZiGDMZ/A2yy1s4DsNbuA5bhBNX7lx7kK2fj9j3cVqUvFfjWX5+v/bWvfcAY0yVAn4iIiIiIiIiIiIhIVDVYMN5aexjYa4yZBGCMaQ2MAJ4Gphhj2voOvRmY62vPAW73BegB7gWe87VfBn5kfICZwPO+vpeAn/jOEw/cALwWrfcmIiIiIiIiIiIiIlJRbAOf/x7gMWPM/b7Hv7TWFhhjHgAWGWPcwDrgB+DUiDfGzAKW+foWWWvf9/VlGmOWAqsAD/C8tXajr+9NY8xoY8xKnPI0f6qwQayIiIiIiIiIiIiISFQ1aDDelx1/vZ/nlwBjArxmLuWZ8lX7HgUeDdD387AnKiIiIiIiIiIiIiJSBw1ZM15ERERERERERERE5KSgYLyIiIiIiIiIiIiISJQpGC8iIiIiIiIiIiIiEmUKxouIiIiIiIiIiIiIRJmC8SIiIiIiIiIiIiIiUaZgvIiIiIiIiIiIiIhIlCkYLyIiIiIiIiIiIiISZQrGi4iIiIiIiIiIiIhEmYLxIiIiIiIiIiIiIiJRpmC8iIiIiIiIiIiIiEiUKRgvIiIiIiIiIiIiIhJlCsaLiIiIiIiIiIiIiESZgvEiIiIiIiIiIiIiIlGmYLyIiIiIiIiIiIiISJQpGC8iIiIiIiIiIiIiEmUKxouIiIiIiIiIiIiIRJmC8SIiIiIiIiIiIiIiUaZgvIiIiIiIiIiIiIhIlNU6GG+MmRaNiYiIiIiIiIiIiIiINFc1DsYbY35njHEB90RxPiIiIiIiIiIiIiIizU5tMuO7WWs9wIloTUZEREREREREREREpDmqUTDeV5rmXd/DkuhNR0RERERERERERESk+YkNdYAx5tdAnrX2Md9THmPM1TiB/Hggxlr7QhTnKCIiIiIiIiIiIiLSpAUNxvtqxLcBvFW6SgADFAPu6ExNRERERERERERERKR5CBqM99WI/5Ex5mZjzNXW2td9XW9baxWEFxERERERERERERGpgRrVjLfWPg9cUOGp+OhMR0RERERERERERESk+alRMN5ngzGmla+tYLyIiIiIiIiIiIiISA2F3MC1lLX2HwDGmCeA41GbkYiIiIiIiIiIiIhIM1PjYHwpa+2iaExERERERERERERERKS5ChmMN8b8FPC3WWss8Djwd2vtnZGemIiIiIiIiIiIiIhIc1GTzPiVQDHg9T1OAP4G/B9OkL5PdKYmIiIiIiIiIiIiItI8hNzA1Vr7CbAH2GmtXQmMAg5aaz+z1hbjBOpFRERERERERERERCSAmpSpuRcYCXQzxvwZKAJmVjjERmluIiIiIiIiIiIiIiLNQk3K1FxmrT3PGJMKPAZ8Aww3xrSy1q6r4RgiIiIiIiIiIiIiIietkGVqAOP787ivnQDE+X5ERERERERERERERCSEmgTjVxljfgc8AzwP7LXWvgKcY4xZCPQwxpigI4iIiIiIiIiIiIiInMRClpix1t5vjDkLmGet/cIYM8L3/F+Bv0Z7giIiIiIiIiIiIiIiTV2N6r1baz+t8PChKM1FRERERERERERERKRZChmMN8bcD3grPBVjjIkB3Nbah4wx/7TW/l/UZigiIiIiIiIiIiIi0sTVJDN+JeAB3L4/DU6teY+vf1B0piYiIiIiIiIiIiIi0jzUpGb8x/UxERERERERERERERGR5iqmJgcZY9KNMe8ZYxYaY4ZFe1IiIiIiIiIiIiIiIs1JjTZwBf4ATPUdPweYXKHPRnpSIiIiIiIiIiIiIiLNSU2D8XHW2mMAxpg4359dgBZAojEmxlrrDTaAiIiIiIiIiIiIiMjJqqbB+BJjTFucsjZu33O3AD2BDdGYmIiIiIiIiIiIiIhIc1HTYPx9wLM4mfA/A7DW/jFakxIRERERERERERERaU5qFIy31m4CpkV5LiIiIiIiIiIiIiIizVJMQ09ARERERERERERERKS5UzBeRERERERERERERCTKFIwXEREREREREREREYkyBeNFRERERERERERERKJMwXgRERERERERERERkShrFMF4Y8wEY0xOhcenGmM+McasMsbMN8a0rtA3zhiz0hiTYYx51hgTW6HvMmPMat/PH6uc4zZjzBpjTKYx5u76eWciIiIiIiIiIiIiIo0gGG+MSQZ+AOyp8PQjwPestaOBl4Ff+46NAx4ELrbWjgK+BG739XUA7gPOtNamA62MMZf4+gYBk4F0YCQw0RhzWj28PRERERERERERERGRhg/GA38FHgDcAMaY04Fd1tptANba/wDjfcdOAhZZaw/6Hs8Cpvna1wLPWmuLfI8fBG72tW8B/mp9gL8D34veWxIRERERERERERERKdegwXhjzAxgjbV2a4WnTwG2VDk0zxjTtmqftbYYiPP3OmvtXqBzgDG3+p6rOp/bSsvc7N+/P7w3JSIiYdPnsIhIw9LnsIhIw9FnsIhI89dgwXhjTA9gsrX26apdgPXzEhugr/RxuH3lT1j7jLU23Vqb3rFjxxDvQEREIk2fwyIiDUufwyIiDUefwSIizV9DZsZ/B+hvjFlijFkCDPL9uRPoX+XY9tbaw8C2in3GmHh85W389KUC3/rr87W/jtg7EREREREREREREREJosGC8dbaR621Y6y1E621E4GNvvYanCB9TwBjzCRgqe9li4ApvpI14NSEn+trzwFu9wXoAe4FnvO1XwZ+ZHyAmcDz0Xx/IiIiIiIiIiIiIiKlYht6AgHcC/zbFzjPwbcRq7W2yBjzALDIGOMG1gE/8PXtNcbMApb5+hZZa9/39WUaY5YCqwAP8Ly1dmO9vysREREREREREREROSk1mmC8tXZshfYXwIQAxy0BxgTom0t5pnzVvkeBR+s8URERERERERERERGRWmrImvEiIiIiIiIiIiIiIicFBeNFRERERERERERERKJMwXgRERERERERERERkShTMF5EREREREREREREJMoUjBcRERERERERERERiTIF40VEREREREREREREokzBeBERERERERERERGRKFMwXkREREREREREREQkyhSMFxERERERERERERGJMgXjRURERERERERERESiTMF4EREREREREREREZEoUzBeRERERERERERERCTKFIwXEREREREREREREYkyBeNFRERERERERERERKJMwXgRERERERERERERkSiLbegJiIiIiIiIhMPt8bIgM4fXV2ez5/BxUlMSuDo9jakju+OKMQ09PRERERGRShSMFxERERGRJsft8TLz1SwWbdhb9lxufhFrdh7io837eHzGcGJdWggsIiIiIo2Hrk5FRERERKTJWZCZUykQX9GiDXtZkJVTzzMSEREREQlOmfEiIiIiItLkvL46O2j/nJW7mJ6eVuk5lbURERERkYakYLyIiIiIiDQ5ew4fD9qfmX2Y6U+tYEyfdozu3Y6h3ZP56RtfqKyNiIiIiDQYBeNFRERERKTJSU1JIDe/KOgxq3bksWpHHgAxBrzW/3GlZW2qZtKLiIiIiESSUj9ERERERKTJuTpE4LxHu1bEVig9EygQX2puRvCyNyIiIiIidaXM+CZOdS9FRERE5GQ0dWR35mTsInPX4Wp9kwZ34YnrRlBU4iFz1yFWbsvjmU+/odgTOCKfG6LsjYiIiIhIXSkY34S5PV5mvpqlupciIiIictJxxRhG925XFoxvnxhH7w6tmT4qjakjnMSUxBaxTOjXkQn9OrJi20HW7DwUcLyuKQn1NXUREREROUkpGN+ELcjMqRSIr0h1L0VERESkuVub7QTiXTGGpT87l1bxgW9vrk5PCxqMnz5K180iIiIiEl1Km27CXl8dvK6l6l6KiIiISHNV4vGyLjsfgEGpbYIG4sEpazNpcBe/fRcO7MzUEd0jPkcRERERkYqUGd+E7QlR11J1L6WMxw3rXoOs2ZCfA8ndYPj1MGwGxLgaenYiIiIitbZ5TwHHSzwAjOzZNuTxrhjD4zOGsyArh7kZ2Wzac4Rjxc7rrxql/ZZEREREJPoUjG/CUlMSyM0vCtjfMalFPc5GGi2PG964CTYtLH/uyG7IXglbF8O0F8GljwIRERFpWtbszCtrj6hBMB4g1hXD9PQ0pqenkbXrEFc8uRyAd9fv4YJB/rPmpZlQcoqIiIg0AipT04RdHaIe/M68Qtb56mjKSWzda5UD8RVtWgjr59TvfEREREQiYM2u8uvcmmTGVzUsLYXubZ1NW/+38VuKfFn20gyVJqe8PdNJSClNTHl7Jsy70ekXERERqQcKxjdhU0d2p1OQ7PfDhSVc9dQKXlm5E2ttPc5MGpWs2cH7M0P0i4iIiDRCmb7NWLu0aUnX5Ja1fr0xhkuHdAXgWLGHjzfvi+j8pBEJJznF43auk5+7EB4e7PyZORu8+tJGREREwqdgfBNXWiezZWwMXZNbkt6zLb+9fDDnD+wMQLHHywNvfsmP561Xts/JKj8nRP/u+pmHiIiISITsyT9Ojm9/pJE922JMePXepwxNLWsvXJ8bkblJIxQqOWXpw7BzBRzJBa9XmfQiIiISNSoU3YRtyM2noMi5EJyW3p0/fOf0sr7rx/TkqU+/4W+Lt+C1MD9zN5v2HOGp746kR/tWDTVlaQjJ3ZwbiEDiEupvLiIiIiIRkLmzvERNTevF+zMotQ19Oiaybf8xPty0j6Mn3LRuoVukZidUckreN/DCJKftioeWyXBsv/9jSzPph383snMUERGRk4Iy45uw5d8cLGuP79uhUl9MjOGuiacw+5YxtE+MB2DjniNc+thSfvP2BqbOWs74P3/I1FnLmZuRjcerMjbN1vDrg/cf3AoL74XiwvqZj4iIiEgdrfGVqIHw6sWXqliq5oTby4ebvq3z3KQRSu5W82M9xYED8aVU5lFERETCpGB8E1YxGD+2T3u/x5xxSgfeuedMhqWlAHCkyM2Ly3ewZuchcvOLWLPzED+dv567X8nE7fHWy7ylng2bAalDgx+z5kV49lz4dmO9TElERESkLtbscoLxLWJjGJTapk5jTRlSoVTNOpWqaZYGXxG8f8QNMPEXMOw66DUBjCv48SrzKCIiImFSML6JKnZ7Wb0jD4CBqW1o58t+9yc1OYHXbx/LuAABe4BFG/ayICvE8k1pmkxM5bqWrbtA2li4/Am4Zg608v1e7N8Ez54DGc+BNvwVERGRRqqoxMOGnHwAhnRPJj62brc0/TonMaBLEgCffLWf/MKSOs9RGplgZWoGToFL/wkTfwbfeRJuege6pwcfL7l7ZOcnIiIiJw0F45uo9bsPU1jsbMgaLMheqkWsi+IQme9zM7IjMjdpZHZ8Bvs2OO3+k+HHW+CWxU6dywGT4Y5lTgYQgLsI3v0hzL0Bjh8KPKaIiIhIA1m/Ox+3r8RiXerFVzRlqFOqpsRjWbxxb0TGlEYiPwcynnXaca2gWzq06V6enHLVSxBTJRM+VJnHESH6RURERALQ7kRNVOV68aGD8QB7Dh8P2p8bol+aqJVPlbfH3lG9v00q3PAf+Owf8PGfwHpg09uQmwmnXQVdhefjAAAgAElEQVS7ljs3McndnBuTYTOq37CIiIiI1JPMXRXqxfeITDD+0iGp/HXxFsApVTM9PS0i40oj8MmDTsIJwMT74Yx7Q79m2AzYutjZrLWqfhfC0GsjO0cRERE5aSgzvola/s0BAGIMjO7TrkavSU1JCNrfNUS/NEGHdsCW95x2x4HQ+2z/x8W44Kwfw/feh2TfzWf+blj2D8heCUd2O3++PRPm3Vi57I2IiIhIPaq4eWukMuN7tk9kSPdkwEl6OXj0RETGlQZ2YCtk/dtpJ6XC6Ntq9roYF0x70cmcTxsLLZLL+3qfrcQUERERCZuC8U1QUYmHzJ2HATi9ewptWsbV6HVXh8jwmT5KGUDNzqpnwfrKE425HYwJfnyPMXDHUkgdFviYTQth/ZzIzVFERESkhqy1ZPqC8b3at6JD6xYRG3vKEKdUjcdref9LlappFj76g7PqE5ys+LhaJB+5Yp2yjrcshh+sLt/Ude2r2l9JREREwqZgfBO0ZuehsvrvNS1RAzB1ZHcmDe7it29i/45MHaGNiJqVE0chc7bTTmgLQ66u2esS2oIr8IbAQPm4IiIiIvVo58FCDh4rBiKXFV/qkiGpZe2F63IjOrY0gJxM2PiW025/Cgz7bvhjte4E/Sc57X0bIDer7vMTERGRk5KC8U1QaYkaqF0w3hVjeHzGcB6aNoT0nm1Jblm+ZcDIXm1xxYTImpamZd1rcCLfaY+4EeJb1fy1R0LcgObvDn9eIiIiImGqWKJmZISD8V1TEkj3jblqRx7fHimK6PhSzz78XXn73F86me51MbxCML+09I2IiIhILSkY3wSt8G3eGucypPesWb34UrGuGKanp/HGneP59KfnEh/r/ArMX7Mbq+WWzYfXC6uecdrGBaNurd3rk7uF6NcqChEREal/a3ZFLxgPMGWoU6rGWnh3/Z6Ijy/1ZNsS2Pax004dBgMvr/uY/S6AxE5O+4s3oOR43ccUERGRk46C8U3M0RNu1u12sp2Hp7UlIT78zYOSW8Vxka9szY6DhayukGkkTdy2j+DAV0574KWQUsv9AIZfH7x/RIh+ERERkSgorRef1CKWfp2SIj7+5NO7ULpYdOF6lappkqyFD35b/vj8X0NMBG57XXEw1Ff28UQ+bHqn7mOKiIjISUfB+CYmY3seHq+TwT6uFiVqArlqZHmG87zV2XUeTxqJz58qb4+5s/avHzYDBk7x35c6FIZeG968RERERMJ0pKiELd8WADCsR0pUSix2SmrJ2D7ONXbWrsNk5xVG/BwSZZvehtxMp937LOhzTuTGrlh3Pkt7KImIiEjtKRjfxIRbLz6QM07pQGpySwDeWb+HYyfcdR5TGtiBr+Hr/zntLkOgx9jajxHjgmkvwuVPQNpYSOxc3lesm1IRERGpf2t3Haa0qmI0StSUKi1VA/DuFypV06R43PDh78sfn/8bMBH80qbTAOg+ymlv/wQO7Yzc2CIiInJSUDC+iVnuqxffMi6GYT1S6jyeK8YwdYSTHV9Y7OE93XA0faueLm+PvTP8GxBXrLNR1S2L4SdfwaDvOM8f3Aqb3637PEVERERqIZqbt1Y0aXAXYn1Z9wvXqVRNk7LuVedaFWDgZdBtZOTPUXEj17WvRn58ERERadYUjG9CDhcWs3HPEQBG9WpHi9jw68VXNK1iqZo1uyMypjSQovzym4LEjnDa1MiNfeb/lbc/+wdow18RERGpR5m+zVuNgWFpdU9KCaRtYjxn9usAwIbcI2zbfzRq55IIKjkOS/7itE0MnPv/onOewVdCbILTXvsKeL3ROY+IiIg0SwrGNyGfb8sri39Gol58qV4dEhndux0Aq7bnsePAsYiNLfUs699Q7LthTL8ZYltEbuyuw8trbuZmwvZPIze2iIiISBAeryVr12EATu2cRFLLuKieb8qQ8lI176zXytEmIeNfcCTHaQ+7Djr2j855WraBwb4Vo/nZTrkaERERkRpSML4JWVGhXvy4PpELxkPljVzfUHZ80+T1wKpnnHZMnBOMj7QJPyxvf/Zw5McXERER8WPrvgKO+vY2GhHFEjWlLhjcmfhY51ZJpWqagKJ8WPp3p+1qARPvj+75Kpaqyfp3dM8lIiIizYqC8U1Iab341i1iOb1bckTHvvj0VFrFO2Vv5mfuxuNVCZIm56vFcGiH0x58BSR1ifw5ek0or725bQnkZEb+HCIiIiJVVKoX3yP6wfg2LeOY2L8jAFv3HWXL3oKon1PqYPljcNz3OzL6+5DcPfjxddXzDGjb22lvWlh+bhEREZEQFIxvIvYVFLF1n1N+ZEzvdsS6IvtXl9gilktOTwVgT34Ry74+EOIV0uisnFXeHntHdM5hDJx5X/njZf+MznlEREREKqivzVsrmjK0vFSNsuMbsaP7YMUTTrtFG5jwo+if0xgYfp3T9pyAL+dH/5wiIiLSLCgY30Ss8GXFQ2TrxVc0fVRaWVsbuTYx324sr+HefVR59rqP2+NlbkY2U2ctZ/yfP2TqrOXMzcgObwXEqZdA+35Oe+PbcODrOk5eREREJLhMXzC+fWI8Pdu3qpdznjewEwlxzsrRhetzsdq8vvHwuCFzNjx3ITwyDEoKnefHzYRW7epnDkNnAMZpq1SNiIiI1FCDBeONMeONMQuNMR8bY5YbYy7yPX+qMeYTY8wqY8x8Y0zrCq8ZZ4xZaYzJMMY8a4yJrdB3mTFmte/nj1XOdZsxZo0xJtMYc3f9vcvIqRiMH9+3Q1TOkd6zLb07JAKweMNe8gtLonIeiYKVT5W3x1TOind7vMx8NYufzl/Pmp2HyM0vYs3OQ/x0/nrufiUTt8dbu3PFxMCZ/+d7YGH5I3Wbu4iIiEgQB46eYMdBJ9g6omdbjDH1ct5W8bGcN7ATADsPFvJlzpF6Oa+E4HHDGzfB2zMheyWUHCvv25Pl9NeH5G5wynlOOzcL9n5ZP+cVERGRJq0hM+NdwAxr7TnAJcBffc8/AnzPWjsaeBn4NYAxJg54ELjYWjsK+BK43dfXAbgPONNamw60MsZc4usbBEwG0oGRwERjzGn18xYjp7RefNtWcQzokhSVcxhjmObbyLXY7eXtdTlROY9EWGEerH/daSelwqDLK3UvyMxh0Ya9fl+6aMNeFmSF8fd8+nRo081pr30NjmjptoiIiERHZgOUqClVqVTNel3vNArrXnPqtPuz5X1YP6f+5lJxI9e1r9TfeUVERKTJarBgvLV2qbW2dCekw8BxY8zpwC5r7TbfMf8BxvuOmQQsstaWpojPAqb52tcCz1pri3yPHwRu9rVvAf5qfYC/A9+L1vuKht2HCtmV52QDje3TnpiY6GUDXTmiG6XDq1RNE7HmRXD7fvVH3QKuuErdczJ2BX353Izs2p8zNt5ZBgzgLSmv0ykiIiISYWt2NVww/uz+HUlq4SzGfWddLt5wSvxJZGXNDt6f6b8/omUbS516MST4fifXzQF3cfhjiYiIyEmhwWvGG2NigL8BzwGnAFuqHJJnjGlbtc9aWwyURh2r9u0FOvvrA7b6nvM3l9tKS93s378/7PcUaZVL1ESnXnyp1OQEJvTrCMD63fls3qvluI2axw0Z/3LarhYwsvx7pm+PFPHEx1+zbnd+0CFyDx8P79wjbii/+VjzopOhL1JHjfVzWETkZNEYP4dLM+PjXIbTuyXX67lbxrk4f5BzW5GbX8ToP34QmSCuhO9wiISh/Or9ES/bWCq2BQy52mkfz4Ov3g9vHBGfxvgZLCIikdWgwXhjTCfgFeBTa+0zODvg+LuqtQH6Sh+H21f5SWufsdamW2vTO3bsWLM3UQ8qb94anXrxFV2V3r2sPW+1suMbI3dJMRkLHiHnT0PhiFNmZn+bwRTFtuG/G/Zy60sZjP/LR/x18ZaQN4pdUxLCm0SL1jD6dqddfBQyngtvHJEKGuvnsIjIyaKxfQ4Xu71liQWDuybT0rehan1xe7zs8tWrBzhwrDgyQVwJj9cDNkRN+OTu1Z6KStnGUhVL1WgjV6mjxvYZLCIikdeQG7j2AV4AfuIrRwOwDehf5dD21trDVfuMMfGA29/rjDGpwLcBxuwPfB2htxF11tqyevGdklrQt2Ni3Qb0uJ2lm89dCA8Pdv7MnO1c2PqcP7AzyQnOooO3snIo0U1Go+IuKWb9P69k1Ppf0c1T/mVJx0OZfPLHS7hz9io+2LSvLAgfG6Ks0fRRaeFPZvRtENfKaa+cBcWFwY8XERERqYUNufkUu51r0fouUQNOELdimZyK6hzEldopLoS5N8DRb4MfN+L6ak+9snJn0JeEVbaxVJfTIXWo0/76A+2lJCIiIkE1ZGb8b4CbrbVl0URr7VqgvzGmJ4AxZhKw1Ne9CJjiK1kDTk34ub72HOB2X4Ae4F6csjfgbAL7I+MDzASej85birztB46x94hTD3x83/Y4byFMHje8cRO8PROyV8KR3c6fb8+EeTc6/TjLcS8f5mxWdfBYMR9t3lfXtyERlLVwFiOOLcVWSXi3Fi6KWcWVLud/mYGpbfjNlEGs/MV5TBrcxe9Y3VMSmDqievZQjSW2hxE3Ou3Cg8oGEhERkYha04CbtwK8vjp4kLZOQVypuWMH4OXLYPM7AFjjf4WEHTAFhl6L12v5Ync+j324lamzlkevbGOp4b4vAKzX2WBWREREJIDYBjz3eOD1KsHlW3EC6f/2Bc5z8G3Eaq0tMsY8ACwyxriBdcAPfH17jTGzgGW+vkXW2vd9fZnGmKXAKsADPG+t3Vgv7zAClleqF1/HEjXrXoNNC/33bVoI6+eULbOcnp7GyyucDJJ5q7O5KEAwV+pf0qY5AFT9Xqb08XVxn3LDnb/ktG5tyr68eXzGcBZk5TA3I5ucQ4UcOFZMicfybUERe48U0S3cUjUA42dCxrPgdcPyRyH9e9U2kRUREREJR2YDbt4KsCdEkLbOQVwJ7eA38Mo0yNsGgG3dmb8k/5q8HWuZ7lpCV3OQXNueuZ6JfL3/UnrP+4JPtx7gwNETNT5F2GUbS502FRY/AJ4TTnLKmT+sfrEuIiIiQgMG4621fjdR9ZkQ4DVLgDEB+uZSnilfte9R4NFaTrFRWLGtYr34Om7emjU7eH/m7LJg/OCubRjQJYnNewv4eMt+9hUU0SmpZd3OLxHRtsR/vctSXThAl+6VNzeLdcUwPT2N6elOSZoXl23nNws3UuKxPPPJN/z28tPCn1Byd2fjqrWvQH42fDkfhl4T/ngiIiIiOOUaSzPju6Uk0LlNBK5FPW4nQSVrNuTnQHI3J6t52AyIqZ5tnZqSQG5+UcDh6hzEleCyM+C1q50VmAAdTuXd0x/l6fcPAhOZ55lY+fico2TlHK30lCvG0KNdK7YfOBbwNHUq2wjQqh0MvNS5Ds7bBrtWQM/xdRtTREREmqUG3cBVgvN6LZ/7MuO7t00grV2rug2YH6KmZX55/XFjDFf5Arcer+Ut1cNsFGzJcRIJnoF1KK5TyHGuGd2DDq1bAPBaRjb7CgLfZNbIGfeWtz/7J3i1z4CIiIjUTW5+Ed8ecbKbR0QiK76GJRsrujo9eJA2qWUstmrtQImMze/CS1PKA/E9z4BbFvP8Bk/w1+HstTU9vTtPXjeCzP93AR/88OyAZRsnDe5St7KNpbSRq4iIiNSAgvGN2Ff7Cjh4rBhw6sXXWXK3EP2VL0K/M6xr2eaf81bv1o1GA7MeN1uevJbWvmC8v5rxAAWDrg05Vss4F7ed1RuAYreXfy3dXrfJdTwVBlzqtPdvgifHBNwgWERERKQmKtWL75FS9wFrUrKxiqkjuwcM4gJ8vGU/D7z1JR6vrpPD5nE714vPXVh+/Tj/VphzHbh9SSiDr6TomjeY80UB60PUf+/YOp6VvziPh6YN5eLTU0lOiMMVY3h8xnAemjaEET1ScPkqyMQYuH/yAFwxESgp0/tsaOO731r3Gvx9oK6FRUREpBoF4xux5V9HsF48QK+zgvePuL7Sw/atW3D+wM4AbN13lLXZh+s+BwmPtax/9jYGHPoYgGIb67dmfGbiBEZOuatGQ143picprZza7v/+fCd5vi9+wjZuZnn7wFc1yjYTERERCSSz0uat7eo+YE1KNlZRMYib3rMtXZNbkt6zLdeP60m8y7mVenXlLu6dk0WxWysDay3QaoUv5gHOFxyF6Xfzj+SfccbflnH/gi9wh/jio2f7RIyfeu2lZRsX3HVGWYlGr4Vnlm6LzHuxFuJ9K5mtFwpydS0sIiIi1SgY34hV3Ly1zvXiTxyFDQsC9xsX9Khe1/Cq9PJs+Xlrdlfrl/qx6sWfMXTvfACO2RasPmc2q4b+nk1xg9hLBzbFDWLV0N8z9L63cMXWbCuIxBax3HKGkx1fWOzh+c/qmB1/8OvAfQGyzUREREQCKc2MT4hzMSA1qe4D1qJkY0WlQdw37hzP8p+fxxt3juf3l5/G8zeNolW8U2f+nfV7+P7LqzlerAzoWvGtVggUXs9MvoBhn0/gkY++KVsxHCqHvSb136eN7E7nNk7JxjdW72ZPfgQ24l33GhzY6r9P18IiIiLio2B8I+X2eFnp27y1b8fEum9YtehnkPeN0+48GLqPgTbdnR8A64F376tW++Ts/h3p6Kst/vqqbMb96QOmzlrO3IxsLcetJ5+99iCjdz4NQLF18eWZTzJ+4sWMvuIeBj6wgi6/+YaBD6xg9BX31DgQX+qG8b1IauG85qXlO8g/XhL+RMPINhMRERHxp7DYzcY9RwAYmpZMnCsCty2hSjYmpdZquDP7deCVW8eQnOCsNPzkq/1897mV5BfW4XrqJGNXPQMEDrB7Du0sW3GQGO/ie2f04qMfT6xz/XenZGNfAIo9Xp75NALZ8boWFhERkRpQML6R2pB7hIITzlLGOpeo2fBm+SZCiZ3g+v/Arf+FH26Ae7Kg02Cnb9sSWPtKtZe39gVrPday58gJ1uw8xE/nr+fuVzJxe7QcN5qWvPks4zf/GQCvNaxLf5AxF0yL2PjJCXHcOL4XAAUn3Ly8fEf4g4WZbSYiIiJS1brs/LLEj5GR2LwVYPj1wftLjoK7dmX7hvdoy9zbx9EpyUleWbPzEFc/s4J9BUXhzrLp81cDvrRuemEebHgLFt4LjwzF7F0fdKiu5iCpyS35xcUDWP7z8/j1lMH07pDot3TQQ9OG8MR1I2pc/33G6B60T4wH4LVVu9hfcKJu7zvUtfDhXXUbX0RERJoFBeMbqRXbIlSi5nC2c7Fb6juzoHXH8sex8XD5Y2B8vwqLfwEFe8u6F2TmsP3gMb9DL9qwlwVZIS46JWwfvv8G49beT4xxbkTXDr6fUVO+H/Hz3HxmbxLinCXWzy3bzrETYdazDJVtFtsCvPryRkRERELL3FWxXnyEgvHDZkBix8D9+zbBf+6q9fXKqV2SmH/neHq2d+qFb95bwLRZK3hqyTdMnbWc8X/+8ORZWepx4513U/Ua8G/PxD7UGx7q49RPX/MiHNoRcrg8Vyc+/ek53HZW37IVCOC/dND09LRabcSaEO/i1gl9ACgq8fKvz+qYHR/qWvjYPlj5DHi0ckJERORkpmB8I1WxXvzYPmEG470eePN2KMp3Ho+5E/qdX/24biNh3N1Ouygf3vtxWdfrq7ODnmJuRvB+Cc8HH/2P0Z/PpIVxAuNf9LmVEdPvj8q52iXG892xPQA4XFjCKyt3hjdQqGyzvG/gX+fCzuXhjS8iIiInjTUVNm8dnhahYPy+TXBsv9OOS4SkbpA2Fs55AFqmOM9/MQ8W/7xa6cZQ0tq1Yt7t4xjQxaltvyuvkL8s2syanYfIzS+KyspSt8fL3IzsWgX8w3lNbXjWvkrM5oV+//OZonyoUB3+kG3NOq8TDK96fOnjt2POjUyJogC+O7ZHWZD/3yt2cuhY7VZGVBLqWtjrhvd/Ak+Ogy2Lav07JiIiIs1D7QpMS70odnvJ2J4HwMDUNrTzLZ+stc/+ATuXOe3Op8H5vwl87MRfwKZ34NB2Z4Ohjf+BQZez53DwzYxyQ/RLaO6SYrIWziJp0xxSSvZxxLRhjHcPScb5b7ul6xWcfv3fojqH75/Vh5dWODU5n/l0OzeM60VLX7Z8jQ2bAVsXO78/geRmwQuTYeBlcMFvoV2fuk1cREREmh2v15ZlxvftmEjbcK+Fq1r+WHn78sfgtKnlj/tMhJcuA/dxWPmUk0F/1o+rjhBUpzYtef22cVz2+GfszCv0e0zpytLp6ZU3GXV7vCzIzOH11dnsOXyc1JQErk5PY+rI7n6zvd0eLzNfzWLRhvIVraVB/4827+PxGcOJrRLEDuc1tZKfw4n//YFWgAmQoJ5vW/GU+zKWek9jg+2FAZ6Ie4TJroxKxxkD73tGsa7T5PDnUwNJLeP43hm9+OcHWzlW7OGF5Tv44QX9wxss2LVwuz7OimVvCRzcCq9dDb3Pggv/CJ0GOZu/Zs12St0kd3MC+8NmQEwtr8dFRESk0VMwvhFat/swx0s8AIwPt0TN7tXw8Z+cdmxLmPoviAuyCWx8K7jsUXhpivP43R9D77NITUkgNz9wzcs2FZaLSu25S4pZ/88rGXVsadlzXeyBsl2strU/i1Nv+VfgO5oI6ZTUkmtHpfHSip0cOHqCOat2cdMZvWs3SIwLpr0I6+c4dUHzd0NydxhxvfNl0H9/CTt873PT27DlfRh9G7TtCV/O182HiIiIALDtwDEO+zZBjViJmvzd8OUbTjulBwy8vHJ/2mi4eja8do2TwfzR7yGxA4y8qVanSW4VR9vE+IDBeIBf/2cDH2z8lrR2rUhrm0DXlAReWr6DZRVWxpYGyRdv2Mv9kwdw+HgJB48Wc/DYCfKOFvP5toOVjq9o0Ya9nPf3T+ic3JLYGIMrxhDniuHb/CI2+DbF9feasL4k8Hph+ye4Vz6La+siWllP0P8+R0ngae9ljOjRlh/270iJx8vMj+7hSu9SpruW0NUcJNe2Z65nIvM9Z/GX0b2CjhcJN43vxb+WbufoCTcvLtvOrRN606ZlGPc4wa6Fh17rlOX54Nflwfrtn8LTZznH5FdYbVxa2mfrYmc8l27ZRUREmhP9y96IlF7s/uODr8qe83gtHq+tVf1DThTA/Fug9GL4wj9Ap4GhX9f7LBhxI2S+5NQ0XPxLrk6/v9Iy4aq2fnuUF5Zt56bxvTBRDhg3R1kLZzHq2FKs9R9vP9h1In3q6QL8trP78uqqXZR4LE9/uo1rx/SgRWwtA+KuWBj+XeenqhsXwleLnKD8wa+dzKDPn6h8jG4+RERETlql18JPLPm67Dmvl9pfC/vz+SwnyA4wbqb/a4x+F8DlT8KbtzmP37kPEtrBoMtqdap9R4Jv3nq8xMN/N35bo7E+3LyPDzfvq9X5AXbmFfr9QsCFhytdS7natYRUc5A9tj2v+wLfv/7PBpZuPcCpnVvTr3MSfTsk8vdFG2n91Rv8vPT4Pe15/a2J/DfjXL6fnEHvnXPpVJxd45vKfaYDWf/vQpJbOcFuj9fy1bdHmbdhIvM8EysdO2lwF6aO6F7r915bKa3iuX5cT2Yt+YYjRW5mr9jJ3eecEt5gwa6F2/eFq/8NO5Y5+3TtWQvYyoH4ijYtdAL7/sYSERGRJstY1arzKz093a5evbrezudv2WipSYO71G7Z6Jt3wrpXnXb/yXDtazXPrD5+GJ4cCwV7APBc9yZ3f57sd14VTT6tCw9OGxJeFslJbPMfxzKgZFPA/k1xgxj4wIp6m8/989czx7cPwJ+vPJ1rR/eI/Ek8JbD6efjgN1ASOGuMy5/QzUd4ms23YvX9OSwiEiH6HA5DRK+FqyrKh4cHQ3EBJLSF+zZAfGLg41c86dSNB3DFw3fnO0krNTR11vKgySyxMQZ3lDdyNQYS42Nxe724PRa31+LCw+Nxj1YrCQNOSZiZJffgoTwRI9jxHhuDy1Sufb/F252NtidXuJZVSzQpffxEm/u4+4e/qfQ6t8fLgqwc5mZkk3v4OF1TEpg+Ko2pI/yX6ImGA0dPcOaDH1FU4qVdYjyf/ewcWsVHMSnE63X2J3h7JniC1KlPHQ63L6n8nMetsjahNYvPYV0Li0gT1Sw+g6NJaaeNxILMnIAB70DLRv36cn55IL51Z7j88dqVOElIgUsehjnXAuB6914ev30ZCwZ2qnSBfFV6d/KPl/DQoi24vZb3v9zLhtwjPHndCE7rllzz852kCopKmLfyG64o3hX0Y6ptSe0zoerizol9mbs6G6+FJ5d8zVUju9etdqg/rjgYczusfx1y1gQ+bs1LCsaLiIicJCJ2LezP6hecQDzAqFuDB+IBxt3lbPT62cNOoPS1GfC9dyF1aI1Od3V6WtBg/J+uPJ1Lh6Sy+9BxsvMKue/1tRwpcgc8PjHexZ0T+9IusQXtW8fTPjGeX7+9gQ25/kvOAIzs0ZY37hxf9thayxMP/4bJBRl+A+WTXRk8xT/ZYHtisBgsg80OznOt9buCszQQX2JdfGjGsLrjlbToeyZHjxfTMvNHAWvAd5pwU7W5xrpimJ6eFv7fbwR0aN2CGaN78vyy7eQdK+bVlbu4dUIU9zaKiYGhVzvJKQW5gY/bkwX/OA16jnd+uo+Bj/8Am98pP0YrS0VERJoU/UvdSLy+OsDyRJ+5GdmhL1AP74KF95U//s4sp9ZlbQ24GAZfCRsWwOFdxH7yZ6ZP+rPf84/s2Y4fvJpJbn4Ru/IKufLJ5fxqyiCuG9Mj6mVrarvRVWOQnVfI65+spcXaF7iGxbQ1x4IefyiuE13qaW4APdsncvmwbryZlUN23nHeXpfLldFaHlwQYnl2zmpY9gik3wwtkqIzBxEREWkUInIt7I+72NmQFcDVwtmvpibO+xUUHoDMl51A/guXOJtwFh4MmYk8dWR3Ptq8L2CWf2nGd//OSfTvnES/zklBg/cDU9sw89x+lZ67cVwvfjp/fcDXTB9V+YPTaEEAACAASURBVL+V8bq5wfuW065ymVz6+ALXGi6geqJEoEv6XDrgveVDLkrrySTfQR6v5QcFf+KjLfOq1YA/eupVPD6yZ8A5N7TbzurDvz/fSbHHyzOfbuO7Y3vSMi7KmeYpacGD8eCUsVn/uvMTjMraiIiINAkKxjcSew4fD9qfG6i/dJli5stO3cHSZY5j74JTzgt/QpMfgm0fw/FDTo3NwVdC2qhqh43s2ZZ375nAD+eu5eMt+yn2ePnlW18yb3U2xhj2HSmKSpDc31Lm0o2uPtq8z+9S5voK3rtLislaOIukTXNIKdnH4bhObE+7gpUlfem/4xVmxnxKS1NS6TWBlvIWDLo2YvOqqbsm9uWttTlYC49//DWXD+sWnS83krs5mTyBWC/871ew9O/OjfOYOyExzA2NRUREpFEL+1o4lC/fKCu/yLBroXWnmr3OGLjkH3DsIGx51wnI713n9IXIRHbFGB6fMbzGpVdCZdJXDaxDzQL+zlxzndWGmS/R5tiemr33GoqLMXTs0avSc64Yw6PXpbMgK5UHM65osLIz4eiS3JKr0rvzyspd7Cs4wbw1u7l+bJS/PBh+vfO7FEi3kU4pmqPBS4aWyZytYLyIiEgjp2B8I5GakkBufuDNnrqmJFR/0uOGN25ysiCqOrTD6Q93mWLrjjDpL/Dm7YB16hne/inEtqh2aNvEeJ67cRRPf7qNv/13Cx6vZd3u/LL+UEFyqF2g3O3LVgm2lPmhxVv4zrButE2MIyUhnjiXqXXwPhzukmLW//NKRh1bWvZcl5IDDNi2kclAhTKclMS0pPi0a9ix9UsGH69cC9AYyEycwMgpd9V5TrXVr3MSk0/rwntf7GXb/mO8/+UeLh3SNfInCnXzERPrbLRWlA+f/hVWPOFsMDzmTtjxqepkioiINCNhXQuHYi0sf8z3wDgbt9aGKxZOOd8JxvsTJBO5NqVXahxYrzi1GMPj15xO1sLPKiWAFAy8hhFTLsS1fQmsfg42vwfWE3IOAHQ6Db7zOJgYwHDo1VtpW7Al8PHJ/ldPNoayM+G64+y+zMnIxuO1PLXkG64ZlUZcpEs2VjRshvOljr/7uYFT4KqXnL+PvG2wawW895Pgey7lB0l0ERERkUZBG7gGUN+bpby6cie/ePPLgP0PTRtS/YI2c7YTJA+krhtgWguvTIOvP3Aet+kGmKDBz7+8t4mnPt0WcMiLBnfmrP4daV+h5mVyQhy/WPAFizdWL1uS3rMtlw5JZWdeITsOHGPHwUKy8wprvelVqI2yHpx6OlePqr5ZaW2+JDh6ws2ncx7m4u1/9Ftbs1Rhi47EjbuDuNE3Q6t2uEuKyXznKZI2vkbbkn0ciutEwaBrGTnlLlyxDfN92cbcI1z8qPOFQkKci5SEWLq2bRXZlQReD8y7MfDNx+SHYOXTkPFceZ1XwCmy7+fvcuAU1cl0NN6Us1rSplUi0kTpczgMczOyg5Zd8XstHMrW/znXsgCnXgLXvlr7iT13YfDkgbSxcMvi2o9bRa03MQ2WlBOfCMVVSiHGtYKuw2Dn8sCTqHLv4F3zMjELfxBwBaf3sseJGXF97d5oE/Djeet4Y40T1A7r9662PG7nS53M2U4wPbk7jLgehl5bPdGknn4fm4Fm8Tmsa2ERaaKaxWdwNCkYH0B9/8P33Gfb+f07G/32TRrchSeuG1H9Qrw+LsYObocnRjqB06r8BD+nzloedJltQ3Lh4UrXUq52LSHVHGSPbc/rnonM95yFMTGM7NmOgalJDExtw8DUNvTtmMhP52aRuGVetdfk9Z3K9Wf0YfPeArZm78GTs5aOBRu50/U27UxBwDnkurrS9edr/a4waEzcHi/j/vIR+wtOVOubNLhLxFYS1Ojm4/hhyHjWKZdUeDD4eHX9Aqp5aDb/8DXXG5CmuN+FiNRKs/kfuT4/hwuL3Qz/3f844fZW6wt4LRzKi5fCDt9qxZsXQ4+xtZ/Yw4ODl9WLT4L7voSElNqPXRehknJKdTgVRt0CQ6+B+NbBEyGueqly8NfrwTv3RmI2Vz/eDpiCmf5Ss1yVuG3/Uc57+BOshV7tW/HhjyY2nn+fo52M1Xw0kr+wummu18Ii0uw1i8/gaDrpU0gbg4KiEp74+GvAWXI6qEsSB48Vh86Iyc8JPnAklinu/Mx/IB78Ls0NVe+zLoyBrskJ9OrQiq/2HmX/0eqB4lLdUxKYMqwrhwtLOFxYzJJNe3g45lEmuzLKjulmDpIe8xXnxmQxs+QeVu3IY9WOvLL+WDw8Fvcok+Oqv2bDjkVs2d6Dc812bjO5xBhbo/+bYjzFjT4QD7AgM8dvIB6cMkALsnIikyXkinV+f4LdNCSkwFk/gbF3w5Nj4fDOwMeqTqY0cuHsdyEicjJ4Z92eskB8h9bxxLti6lZrPDerPBDffXR4gXgIvcdNcQE8MhTO+jGM+j7EtQzvPKX7QIUqw3dkD+zOgI//GHy8hHYw/WXodWbltPZpL9Y8CzvGRcxV/o83/o5vJvp0bM2lQ7qycF0uOw4W8s76XC4f1q2hp+UIVtYGoEVS/c5HREREak3B+Ebg6U+2kXfM2Xj1xnG9+NWUQTV7Ycvk4DcHAeo41krW7OD9VYKfoep9DuicxH0X9ifvWDF5x4o5cPQEc1bt4nhJ9SyoUm1bxfH67ePo0a4VLeOci/5QS5nvOb9fpWDxEw//mslHMvwus53syuBx8wSbbE9ctoR4SojDzSCzk/GujX5LzgyO2cVgdgU8fyCH4jrRpdavqn+vr84O2j83I7v+64DGtwr8xVAp1cmURm5BZk7Q/S4i9kWXiEgT4vVanvr0G8C55pp3x3h6d0is26DLHi1vn3FP+OOE2uMGoOgw/PeXTnm9cx6AIdOdi8yaBNfBf8mZ0k1i18+B/hdDzmonCJ8f/BqtTFwr6D2h+vM1SYSoy/HNxN3n9GXhulwAfjZ/PX95b1PkSzaGI8ZV/QuVuFZw8Cun/+0fQOowaBvljWdFREQkbArGN7BvjxTxr8+cGutJLWKZee4pNXuhuxiO5wU/JhI1HENl3+/f4gRIfTcVV6enBS1Tc/OE3lw0uHI4ev3u/KCv6duxNf07V87ymDqyO0s27fFbQuboqVeVb3Tl9cDe9dxYMheoHlQvfTw55nMm87nf8weq/Q5QEp+CN3U4LXqMhG4jWLsuk2Gb/hawtmbBoGsDD9aIhFrhsOPAsaD9URMqO611p/qbi0gtWWt5ftn2oMc0yBddIiIN7L8bv2Xbfufa4uLTUuseiD+0Aza+5bTb9YVTLw5/rGCZyP0vgvb9YNWz4DnhBMrfugOWPwotWkP2qvJjS4PrWxdX3+Mma3bgTOcdnzk/tRWJpJyT2CkdW9MpqQX7Ck5QVOJlT8kJ9hw50ThWsvn7guT9n8HKp6AoH+bfAt97H1xxDTM/ERERCUrB+Ab2zw++osiXFX7HxL60S4yv2QuX/h0K9gTuHzjFWW5aV6GCn0WH4Jmz4aI/Q+8JTB3ZnY827/Ob+TlpcJfyIHkFoQL400dVD0y5rIfH4x8lJq78xqW0hIz1bMQsOx92LYddn8OJI7QO8TbDcdC0o/3Pt1WKup9+ykVk/mMlI44trXSsMZCZOIGRU+6KwkwiL9QKhwPHirn5xQzuPa8fQ9PqsUZqqOy0Iznl2Wci9SBU/XdrLet25/PeF3t4d/0eckJ80ZUbxVJfIiKNkbWWWZ98U/b4jrP71n3QFU+C9a26HD+zbuVU/GUiVy3tMuYOWPJnWPsqYGGf/32gACfoPudaZ4Xr4V1wOBsKcms2l6SukDbKKbtTeBA+ezjwsc1wY9X6tCAzh331UbIxUi74HexaAXvWOSsoPvq985yIiIg0OgrGN6Cv9xXweoaz1LRLm5bcfEbvmr1w75ew9G9OOz4Rzv4ZbH4vdN3HcNRkae7eL+ClS2HApbgu/D2PzxjOgqwc5mZkk3v4eMh6n+EE8Fn3mt/NpADMzs+cWve10XEQXPYIuOLLfvJevp52RwLfTHlTelZLm3fFxjLk/xaw6p2nSNr4Gm1L9nEorhMFg65l5JS7cMU2jf/lQn1BAvDR5n18tHkf5w3oxL3n92NI95Tob0wZqk7m0W/hhUlww9vQrob/P4mEKVj99wWZuzmtWzLvf7k3ZAC+oq4pCdGYqjQGNa0HLXKSWbHtIOuyDwNw5ikdOL17ct0GLMwrL7PYqkNkklNClWpJSYPvPAnj7oYPfutcqwSz9b+1O39CO7hjaeVsd68HDm4NvBlrJN73SaxRlmwMJrYFTHsBnj4Lio/Cskeg11nQ7/yGnpmIiIhU0TQig83Ug4u24LVO+74L+pEQX4ObcY8b/nMXeN3O4/N/C6O/D2fcG51JBgt+9j7bCUZvW+I83vwObP0vsaNvZ3pKD6bHvwEtciC+G8RcD8wAqr9HV4zh8WtOJ2vhZyRtmkNKyT4Ox3WiYOA1jLjsospBXPcJyMmET/5Ss/l3HAA9z3Cyo9a8EPi48XdD2uhKT6WcfScs/EHAkjPtJ9zid6jYuHhGX3EPXOHUJ20KNeKrCvYFyfC0FI6XeNi8twCADzfv48PN+zjn1I4UlXhZse1g2bER35gyUHbaaVfAujnOZm2Hd8ELF8MN/4GO/et2PpEggtV//3x7Hp9vr1xKrHWLWPp1ak2WL+jkz+BubSI6R2kkgtWD9leyQuQkMmtJeVb8nRMjkBW/+jkoKXTaY26HuHr8krPzYLhuLjx0ChTuD318XCtI6eGsdi3KD3xch/7Vy87UJGNfwhaqZOPuQ4X1NJNaaN8XpjzilKkBePN2uOMzaJPasPMSERGRSnTn10BW78jjfxu/BaBfp9b+s7/9Wf6os/wQnCBzuv+AcMSEutA3MU52z+JfwMGvwVMMKx6rPEaogIPHTeyCmxlVIUjRpeQArP8VnPgcxtwJ2Z/DjqWQnQHuGmSZJrSDmRmQ2MF57PVA4YFaZQ/FDL8O79b/VsvANwbsgCnEDJsReh5NlCvGBF3hYHDqu/7zg6/KgvIfbwl80xnR5byBstOGXguvTHd+Vwpy4YXJTkC+y2l1P6eIH6Gy5sAJwJ8/sBOXDOnKhH4diHPFcPcrmQGD+K98vov0nu2YMrRrpKcrDWnda4FX9Gxa6Pwbe5JtjigC8GVOPku3HgBgSPdkxvdtX7cBS4pg5TNOOzYh+tfJgbTvEzwY3/k0ZxVfq3a+Woaz4e2ZgY8PVHLmJN1ctT6ELNl4tJgnPv6aG8b1JKllI6rNfvo0J1Eqa7Zz77Pg+871sL6cERERaTQUjG8A1lr+9N6mssc/mzSgZhnD+7+CJb6M8NiWcNljEFMPGweFutDvfxH0PRcy/gUf/q48G6mqTQudzMCeZziZQPGJzp87lwcOUmx5z/mprQ79ywPxEF72UIyLmKv8v8acBBlHsa4YpqenBQygTzqtCxcO6lwtKB9I1Jfz/n/2zju+iSN74N+V3HDBBTAG03sLJGAIIb0e6QkEciGXI/3Se7mU392lXNrdpZPeCymQShJCCkkglNATmsH0brAx7lXa3x8zsoq1kiWQMfL7fj762FrN7MzuzL558/bNm4RUuORT+HCCmoRUFMBbZ6pj2cMiV67QYgnmNZeRGMvce04mIdZbVvi+6OqQmkByQiy/rN1DndPk5g+XUl3n5IJhsvle1OAKmWHFnGfVOJrSwXsploS2EaKclzxixV97fE8MYz9D2v3xIZTvVv8f8RdI2k/jfrgEC/M48lrvugVaiSohZw4KwUI21jlN/jNjDS//sp5Lj+7O5Ud3Iy2xkXt/RZrTn1Bx4/fkKmemWf+FE+4+2LUSBEEQBEFjmKZ5sOvQLMnJyTEXLVoUkXN/u2IX17y3GIAR3TL46G8jg08+nA54YzRsW6C+n/YwjLoxIvXbL145CXYsjsy5DRtkDYZuxygP/AWvWKc9d5J4CTUhTqfJsIe/p6ii1jJNUpydly/JYUT3DOJi1EukiMSYr62CKRNh7bfqe1yKWjLedVR45zv0OADB+ZsHkZTDB4KxL84NOFHP6ZrO1Gsb1+9M0+TpH/J45se8+mP/Pn8QFx/Zdb/rKTQD/te/cRs0JrWDDkOgw+HKc3bpu7D+x4bp+p8toW2aNyKHG8GmgnJO+t/POE3o3jaJH247Pryx3/XSask7sGOJDuVowI2LVdiOg4HToXQRK+P6uLcbvlBz1EnImWaEw2larmTrmpFIfmkVVbXO+mNJcXb+clRXLhvVjVlrCyK3f1Jj2b0aXjlRrSg2bDBxmppDtRyiQg43d11YEATBgqiQwZFEZnFNTJ3DyRMzcuu///2Mfo3zAlrwitsQnz0MRl4XoRruJ2X5B/6ccclwwRvQZaTyfgY1ySndKR5EzQSbzaBHu+SAhsnyGgd/ef03UuJjOK5PO07o247py3cxc83u+jQHJMZ8bAJc+B58ciWs+hxqSuHdMZBzOWxfJN6lwgFj3LBOAfv8+OGNXwliGAa3ntqHhFg7j3+rxoj7PltBVa2TK46RzYgPaTbPVSt1GkP5Hlj3g/oEQkLbCFHAK7M31O+d9LfjeoRviPfdjwEAE37458F7aRXOikwJOdOsCBaysaiihtd/3cg7czdRXuOgvMbBy79s4NVZ7n4NEdg/qbFk9ofTH4dpN6m9sz65UsWP91w5LAiCIAjCQUGM8U3MR4u2smFPOQCnD8piaJf04Jn2blThXwBsscrru7kaEFOzVYx4KzIHwmkPqVA2NRVQWw6/PqU23bSi/SAVCscT2bSq2RFsOa+L0uo6vl6+k6+X77RMs98x5u2xMPZ1FQbp98nKK2j+JPfvsnGicACorHVY/jZ6YFbj9wLx4NoTepIQa+OBaasAeOirVVTVOrj+xF5h11M4SDhqVWi5X59UhpBADDwfbDFqT5iCPKARqxaXvCtGO+GQZXdpFVMXK30xMyWe84dmh3ei5rwfgxjXD3kChWxsmxzP3aP78bfjevDW3E288etGSqrqvAzxnny7chcfL9rKBD8r3iKyUhRg6F9h4yxYMVU5Mb19jgoTWrJDHFMEQRAE4SAiFqgmpKKmjqd/UCEI7DaDO//UN3gm04Qvb3THYT/+buXp0FwJFiPzqOug18nex2yxsmlVFDB2WCdm5u72u5z3tP7tuWRUV37K3cOPuflsLrTYV8CD/Y4xb49RL66Kt6p4mf442BN14ZBl+75K/jtjDQB2w6BfVgpFFTVeXnPhTqAvO7o78TF27vt8OaYJ/5mxhiWbiyiqqGFXcdXBW/IuNJ7C9coLcccS97GUDsoY4kv/s9XLQ5cxpLoUdq2AyRdCdbF1GcUBXnwLQjPnzTmbqKlTL6muPFbJvLAIth+DvLQSIkxaYhy3nNKHK47pzuinZ7M9wH4y9362gldnb6RXZjK9MpPpnZlM9zZJTPppHT/kHuCVoqD2IDnrKdi+GIo2wu6V7t/EMUUQBEEQDhoy6jYhr83eyJ7SagAuGtGZHu2Sg2da/JbbkJh1GBxzS+QqeCAIZwMq2bQqKgi2nNduMzi2dzv+76z+rN9TzpgX5lBSVWd5vm1FwQ32QbHZoK46cBqZqAshYpom93+2nPIa5Rl//Um9uO3UPge0jAlHdiEh1sYdU37HacKPkZikCwce04Sl78H0u9XKL1Ch1k5/Ag4bD8s/Cr6aKz4Fuh4Fmf0Cv9xOzozstQhChCipquW9eZsBSEmI4aIRXcI/2b4gL6XkpZXQRKQkxNKYvdg2FpSzsaCc71cFD+253ytFARJaw2HjYNYT/n8XxxRBEARBaHLEGN9EFJRV8/Iv6wFIjLNz88mNMNwUb4Pv/k/9b9iVl689NoK1PACEEz5GQs5EDYGW87owDEN5A7VPCRjWpqCshg8WbGF8Tuf98/4tCbJpokzUhRCZ9sdOflqzB4Ce7ZK4/sTIbBA4Zmgnlmwu4r3f/IfxOiCTdCE8XBtGLn3XvQ/FwDGw+VfvF8vZOTDmFfcmkqGs5gq20qxoI+SvhPYDw78OQTgIvD9/C6XV6mX8X4/qSkpCmLptyQ6oKQmcJjX0cGGCEC4d0lqxo7jK8vfWCTEkxcewM0AaXz7SuvB+sfGXwL+LY4ogCIIgNClijG8inv0xr96L8qpje9AuJT5wBtOEr25Vm0+C8ojvMCTCtTxAhBM+RkLOtDiCxZivc5rc8+ly3pm3mX+cNYCjerYJr6Bg+xjIRF0IgaLyGh740r3M+/Gxg8MPr9AIVu8qDfj7fodzEkLH34aRruX+LgwbHHsHHH9X+C/RA60aA6gsgtf/BOPegt6nhFeGIDQxVbUOXv91IwDxMTYuHRXmBtV538Nnf1NhnQJhFepQECJAMN32/rMGMD6nM6VVtazfU05efikPfLmSshrrPWiWbSvmxZ/XM3ZYNpkpCeFVrHh7kN/FMUUQBEEQmhIxxkcIz414thaWs7usBoA2SXFcdVwP/5k8Pe32rIUqrcy17QPH3dVENReEpiFQjPkuGYls31eJw2myemcJF706n9EDs7j3jP50TEsIbZOrYN6lMlEXQuDhr1dTWK7k+SUju5LTLSOi5e0MEHsWYN3uUqrrHBF9ISD4EGjDSIBWGfDnySrUzP5gtWrssAtgzXRY/6N6YT95nAqDM+Kq/StPEJqAT5dsp6BMhY8bn9M5uHOKL45a+PFBmPus+1h8in+jvIQ6FJqYQLqt58buKQmxHN45jcM7p/Hhwq0BDfgOp8nj3+by3+/WcFK/TC7M6cwxvdrw5e87G68Li2OKIAiCIDQrxBgfAeocTm6YvNSvIta+dQIJMX7i+/rztHORnAk2aSohuggWY379njIe+moVs/MKABWS48fcfDqlJ7KxoLz+PEHjZwfzLo1PidQlClHGr3kFfLJETWazWidw1+hGbMLtD38hTo64RPVVn7BcwZa876us47gnfuKyo7sz4cgutA433ENLpzFtUlMB+Stg1n8Cnyujx/4b4l1YrRobdhl8ezcsfA1MJ3xzB+zdAKc9LKHdhGaLw2ny8iwVstFuM7jayjnFiqLN8MkVsG2h+9jQiarfr/5SQh0KB53G7J/kSzBvervNwOE0cThNvl+Vz/er8omPsVGtN0CGRujC4pgiCIIgCM0KozEbzbREcnJyzEWLFoWV9+OFW7nrkz8sf3/igsENwwoseRe+vMH6pOdOkhAuQovDNE1m5u7m4a9XexngrfD7bIEytHl6l8YmQOE69VtcClw1E9od2A04DyL7EWC/ebE/cvhAU1nj4LSnf2HrXuWp/upfczh1QPvQTxToxWv/s5UntN398jXYeOJJcnwME47swmVHd6NdcnxoK0jCwHMFWGPLCCdPxHHU4ZxyKbbchm1iZg7CyBoEu/6APbnK8B2M1p3gtpUNDh/wazdN+O0l+PYeQOtyvUdD71Nh+cdBX/QIEUXksB+++mMHN0xeCsA5Qzry7EVHND7z6mnwxfVQVay+x6XA2U+rlSKCcAjjcJpc//4SS2/6h88fxJfLdvDRwq2syQ8SlgkLXdjpgCkT/eseSW3httzmvy9Z6ESFHG5OurAgCEIIRIUMjiRijLdgfwa+sS/ODejhkNM1nanXjvI++PppgT0WOo+EK2aEVR9BONSpqXPyzrxNPPpNLo4AMsvvs2XFjPtg3vPq/7Z9lEE+Orzko2bga04TkEe+Wc0rszYAcOZhHZh08dDwThTii9dAk/Rje7UlO70Vny7dTo2Hh1yMzSAzJd6vR/3ogVn+veYIzVgcaAWYVRnh5Am1XgB1tTUsnfYiKas/JK12N/tiMynt/2eGnnM99piGq8wccydh/+5eTBOMA/D0mJ2PxLjiuwbXEM61N4o102HqFVAb4IWlnxc9QkQROeyDaZqc9dyvrNyhNlz95qZjGdCxdcOEvqtUWneA2FawcZY7TYchcMGb7o2RBeEQp87hDOpNb5omv28r5sq3F1Kgw5/6w1IX9nRM2bcVKvdCnQ6FN/oxGHltJC7tYBIVcrg56cKCIAghEBUyOJLIrCwCBIvxu8Pf77KxjiBYEhdj48pje/DqrA3kl1ZbpvP7bFlxygOwYxls/hUK1sLn18H4dw6MNU6IKpZvK+a12coQ3zohhn+eMyD8ky19N/DvS971MsY3Zsn77af15Z15m3hn3maKK2upc5qWoW2+XbmLT5dub+A1589YHGjZ+6dLtvs1LLvK+HjRVi4Y1hnDAJthYACfLN4WMM+BqFddbQ1/PD2G4eWz649l1RbAH/9gyboZDL74EWIK18Ku5ZC/EvJXYC/LBwI/+o64VCrbDaKyzWFsz9/N4fmfNjDeu75/aTuZxFX5OJwmTlN95qwrCPnaG03f0+Hy6fD2OVC1z3+a1dOUEUZW2AlNjOtl2quzN5C3uwyAvu1T6Jvl5+W31ebInhx5LZz6AMSEGGteEJoxMXYb43M6BxwHDMPg8M5pxAV5cWupC/uGPdv5B7x6Ejhr4ft/Qvfjof1+6DeCEAohhGwUoodmuUJWEA4SYoyPAMFi/HZMa9XwYHKmbKwjCEHolJEY0Bjv99mywh4D496El4+H0h0q3uycZ+CYWw5ATYVoodbh5O5P/sCpF2Tcf+YAMlMSwj9h0ZbAv+9cBovehL5nQIoKgxODk/G2nxkf9y7Eb4e4bLBdAkwA7LRLief20/pyzfE9+XjRVh79Jpcah3U4lfs/W877v22hfUo8ma3jyUxJYHNheUBj8S0fLaNLRiJFFTUUldfy67qCgJdx72cruPezFQ2O23Ewxj6bC+0/08EoZKfZho8cJ/CJ4ziemJ7Lhj3ltE2OIyNJfZZsLuL7ldsZ5y/PyuP4ZEk7LhjWuT6e7tIvJjGqfLZfQ/nQijnw6vGB778fdplpjCyZBCUGrAcbTibFbuV0+0KvdIYB0x3DuXXNAJxrQvNi+3jh1vCN8aA8hdO7w86l1mnmvwSDxiovY09kQixECKsVIWvyS7n+HV22LgAAIABJREFU/SUNV4QE2xx5xNVw+mMRqq0gHBoEm2c2elPkDoPhpPvhh3+Coxo+vUqtEpUXXUKIhGxg9RcesGQbbP0Nc+0MjHFvyUo+H0JeJdpEoSRDWY1a53By0/uLSFozhXtcOv3ONnz0+Qn8tHocz12cE/4qUUE4BBEpFwHOGdIxYJia8cN9JtyOWqguCXxS2VhHEIJucuV3yXsgkjPhwnfhzdPBUQM/PgAdD4ceJ+xXPYXo4bXZG1m1U8nnUT3bMC5nP16MrvsRKgIbsamrgq9uga9uhU450Od02DQbNvzkTqMnLOTN8Ao9khQfw2VHd+eVX9azu6TC0uhd47Dx+1YLD2oLvvpjZ4NjgQzrThoq03YcPB/7rJcRO9soJMe2lpNsS7mh/CZe+mV9o/OcYfuN1z87nd8/30N3YyfdjF0cY1sORkMvd39e707TYKOZRbpRSoZRZnntW81MPFdaOrFxQ+1NjHHOZrz9Zzoaheww2/BxgGsPxvo9ZZimibE/K3PK9wT+PX85PNJRbTCb2R8yB0LbvrD0bdjwszudRf/yQgz4QiMItoKmwYqQYCuHdjZu/wxBiGaC6cK7S6spKq8hPSku+MlG3Qh536tVovkrYOZDakNkQWgkoa5gBHAsm4w9d5r/FYa503As+wD7MLF9uAh5lWgYbRJWngCrURev+470ie9TXG2yt7yGwvIaZq3eydl593J6bEOdfnreUj5b/CrjRnTf/xsmCIcIEjPegnDjs5mmyY0fLPVruAAVG3bSxUO93y5O/zv89qL1SfufDePelgmu0OIJFD8blEL34DkDueSobqGdeNEbyvgJ0CoD/vYLpHXZv8oePKJmjd/BjpO5qaCcPz09i+o6J/ExNmbcchzd2iaFfqK6Gpj5IMx97sBX0s/m3uNemM3lOx9o4LkNynP7Dm7Bbo+lpKrO67dQjOuxhoNnY561LOP+mNvJ6dEOp6kmV2CSvfETHuBFy/AuL9WdxXznAOKpIZ5a4o1aRtlWcr59jmWeUCkzE3io7hJWO7uw1uxEbEISZzt+5BH7y5ZlPGS/nrjhf8VuGNhsBlMWbWVnAK/ELhmJXHN8T+w2FaLHZhg8NzOPTYUVAes2sGNrbjmlD6f0zwzPKB9s75lwOOO/MOIq72MhbkLcQhE5TBh7KD05MPAqUYvNkQWhJRFMFwY1nky+ciSpiY3YlHXfVnjxaKguBgyY+CV0P+7AVfjgERVy+GDrwsH4eOFW7vrE+kXp8X3acWSPDFJbxZLWKo60xFi6fXE+2aXWefakHU67W35pcLxJQpyE4WwQ6l5FoV5HsHv8yJhBXDBUhYY0gKmLt/H3T5dbpve3yXOwMq4/sSc53TIoqaylpKqOkspaEpZP5oq9/7PUn9+pO4VVZjdSKSfNKOMII4+R9lzL9G8nXcbE258Em49TiziAHKpEhQyOJGKMtyDcgW/Koq3cOVUJstYJMXRvm8Se0mq/G/EA8PtH8NnV6v/4FDj6Vsj7TsWIT+2kPOKHXCSCRhA0vptcdUhNIKVVLD+vcXuFXndCT+78U9/GG7RMU22qufQ99b3D4XD5DIjdj3AkB4+oGfgOxgTEpSB/uHALK7aX1Id7uetPfbnuxF6hn7BwPUy9XIWfcZHaGYq3Nkzb/2w49SFYOwNyv4LNc8F0BD5/XBJ0P0Gt8kjJguT25C1fQO/Nky2V3QVDHmLE+TdRVetgT2k1u0uruPvjpdxe8qilcf2ZtHv530XDyEiKIz0xjuVfPsfw5f+0LGNnu6Pp0KmHimFeuQ+q9uHYnYvdWRva/QuRGmKIo87y9xX2/tiu+I42yeo64mJsTFmwieRpV1pee9k5rzFueLf6Y8EmLOFMcjwZlN2aW07uw8n9M3E4zcZP2IJtDtzzZPV392oVmquxJGWqjTLb9IQ2vdREaOGr1un9vCBqgYgcBo565Ad2lgQILZeawNx7TnYfeOowKA4QyqvzSLhiRlh1EYRowt+Gr6cflsX787ewoUBt5j2kUyrvXnkkrRMaYZD/Ywp8eqX6v3U2XDsHWqVH8AqahKiQw83dGD/mhTks2dL41ZadjXymx91DsmHt1ODARknf8bTqdzIJvU+E5HZeIU58nUbK+lqEOAnViOsvfI7G7He23/A5Lu/woR7e4S6WJB3L4Fs+JSbWvUqlMddhGAY79lWysaCcjQXlPP/TOvYECNPqj0AONiY2Yu02tZIUpbfX1DnrQ3I2li/i7mOIbWNomYLgiEnE1r4/RmZ/yBwAbfrAgpdh3fcNE4sDSHMnKmRwJBFjvAXhDHzr95Rx1rO/UlnrwDBg8pUjOapnG+sMO39Xnmx1ejD68wfQ74z9qLUgtFzemrORB75ahUukjRmazeNjBytlozHUVsGbo2GHjrl8xF/gnOcPxQ1dD7kKW9HUExCr+MYApw1ozwsXD218LEPTVBOAr++AWjUxJr41nPUUDDhPbaa55N3AL14r9sKzQ6HK2rM0HMz41hjdjoG4ZGXMj0ti+4aVZOf/ZGlcL2rdl/TUdKjcCxV7MSsKmkVHq4lJJu78ScpInNGdhV+9xvA//hH0RYQnDqfJje8tJGnNlAZhZ8r6juP5vwz3MnwH8kr0u/otSJ6R3TOIi7Uza613mJlBHVsTF2PzO8kdPTCr4ZJhpwOmTLT2WPdcYVexF/bkwgcXWW/6Gi5iMAWRw5imyYhHfgxoQPDyjJ/1XxUiIxDyokcQApJfUsWFL8+rX4k1rGs6b18+guT4Rhirpl4OKz5R/w+6AC54PYI1bRKiQg43Z2P8ut2lnPnsr1TXWe9TpDAZZqzlyphvOM22CLsRmv1pU0wPlscOIatsJcPtaxv8Pt0xnLKzfUKchGpYr6vBMe8F7D9aO5o4j5iIrdeJOIxYyups7KuG7Yu/ZtSu9yzzfNjxbuJy/kp8jJ24GBu/rctn2MLbLB1AHkq4k4JKJzU+9zSU1av+Qjx6lnFD7U04aPgyIngZJv2MrZxiW8yp9sUMsW1ocI4mx59eIJ70zYWokMGRRIzxFoQ68FXXOTh/0tz62MI3ntSL20/ra52hvBBeOcHtAXT83+HEe/ajxoIgfLN8J7d8tKxegTmuTzteuHho4yYhAPu2qA1dK/eq7+nd1Z4Oh9YgHjUDX1NPQMLxePar8A26QIULWTHVna7TcBj7GqR3C61SwUKP2OzKCNuciUmAhDSoKoa6Sut0qV3g6JtU+pgEiE3A/OEhjMI1llnMziMxPAy/jro6fn/qPEsPpSG3fm69ZNjHy9DvarYw0zcmz+LNRTzzY14Do7wVlv2xMS96XATrX60y1IqLvRvcjgPBSO4Ad+Q2Lm300uLl8Mu/rOfR6YH7wRMXDGb8sE7wy+Pw86OBTyghGwWhUezYV8mFr8xj61413o7onsFblw0nMS6ILlxZpMLVlGxX38e8BoPHRbi2ESUq5HBzNMYXV9byzA95vDNvE3VO09KI+4VjFFe0Wcn1CTNILmyoX1sZsMvMBEvPeas8s2KOYvCo00ltnYoRl4hjy2/YF71mbVjvMgpbXBKU7oLSncH3dAqTGjOGjWYWZbSi1EwkzSjlcNsGy3rdVXslHztO8jpHMOO6KzSk6TRJdJbQb/NkrmGqZRnPMZ7fO06g0tYKU4eTXLV9L485n/Rbxm+OvmyO7cnpcctIqWr8ysod9o50vOA/kJAKrdLY+8HVZBSvsky/x2zNNjOT3sa2gCsnvIhPgaEToeMRkD0UWneGTy6TUIrNg6iQwZFEjPEWhDrwPThtFW/MUct0hnVN56OrR1p7UDrq4L0xsFHHQuszWnnF+8bHEgQhZH7bUMhV7yyqj4d9WHYqb1w6nHYp8Y07Qd4P8P5Y/78dGoN41Ax8TT0BOW/SHJYF2Ni0QXzjQLGz6zHg2NvhhL+DvRFLxX0JFnrk3Elw2Dgoy4fSfPX3u/ugaFOAKhkQztgf3xpapSkDbdFGZVy3ImswXDxFGeFd4Z4acy2+3i06j4l3x67/7idPXW0NS756iZRVH5Beu5ui2ExKB1zEsLOv82uIb24s3ryXp3/IY3Ze4InhsC5pfHLd0V7HQo6n2tg2cTqVgaZwHUy7BfZtClAzA/qeAUdcDL1PU/2+5XkptWg5/PnS7dzykQrNZaCeV19GD8xi0oQjsP/8b5j9X3XQsMG5L6jwXI19oSQIQgO27q3gwpfnsUPvbzKqZxveuHQ4CbFBnqGNs+DtcwAT4lNVuJq0zoHzNF+iQg43J2O802kyZfFWnvh2DYXlNUBgQ3GlGUsrwyc8Ydu+LOrwZwqXfcWf7Isb5JnuGM6PAx+lX8xOUnf8SreShQysXUmiEVqYlkMV04S99rZUxLejLjkLe2o2NUU76FU409K4vi+lD2kJdhUCs6as8YW1SlehM9O6sKuggKyC+Y3fo8kWS3FiF1LL1jd6Napz8TvYpt1omX7tyMe5b9NgFm0qJNsopI+xladiXyDVCLznkhexiVAbIL3VCruWp6c2BVEhgyOJGOMtCGXgm5mbz+VvqbQpCTFMv/lYOqUnWmf47v9g7rPq/4yecNVMZeAQBOGAsDa/lIlvLKjfZLFzeiv+PLwLM9fs3v+4y81/mXzUDHxNNQEpqarl7TmbePKHtQFt1A3iGwfrKwmpcOF7+7cRWiihRxpbr3MnweA/K4W9plx9plwKuwNsjNhpBFzpEa8xnOcknGsJJ0+UMOyh7+snu/6wGXBK//aM6J7BiO4Z9MlM5paPfrcMn9MgrA2A04Hz44nWy7jHh9G/PElqp14W5a90OyB4cmi84AyHFiuHf80r4LK3FlDrUML0sTGHYbMZDVeEHJGN/cd/uvVhww5jX4VBFi/DBUEIic2F5Yx/eR75et+GY3q15fRBWXy6dHtgXfi7+90bznc9Rm3oemiOs1Ehhw/m/kmeL/ZHds9gVl4By7e7HTHSE2N5YcAqjlrRMLRLA3qeBCOvh14n4zAJKTygs6aKkkf7kGYGcAIJA6dpUEAq+WYau8wMhtjWk2lYl7HemcUXrSeQFmeSFg+tY00Gbn2fDqb1isZK4jET2xBTW0ZMbRk2goX0acbEp0Kf06Dv6dDrFBwxSaGtRm2EzmkaNuasK+TJ79ewZMs+psb9ixxbw9BE9fkwMPy+8rcgpSOcdL/aBymjJyS1VXMNK+eq6NVTm4KokMGRRIzxFjR24NtdUsXoZ2azV0+YJ00YypmDO1hnWPGJiskHEJsEV/0Imf0PRJUFQfBgZ3Ell76xkDX5pZZp/BqogoVtaP7xkKNm4Iv0BKSovIY35mzkrbmbKK2y3vSzvj6+nvGvnQrbFlhn6DgMrp65/xUNNfRIpAz4nsb1cI3koV5LuHmigLEvzmXx5sbvFxAXY2sQY9QTf2FtPDcS8zch9rshWqC2zxwAplPFo28szf8FZzi0SDm8ckcxF748n7JqJU9vP7UPN57cu2FC04QZ98L8F9R3Wwxc8AYMOPdAVVsQBNR+Zn9+ZX7AvRsa6MJ11fDqSZC/Qn1P7aye2UPPUzQq5HBz2j/Jhd1mcMnIrtx6Sh9SJ58O2xp6xdeT1A7++gW0H9ignFDC/RU8czxti5ZZFrM9rjtfZd1AfmERRcXF3Gz7mG62fMv0y5zdGVvzIA7sJMTa6JSeyKiSb3iQlyw9tye1vpXrb/uX13kWfvpM4/cqMk0KnjmWtvuWW9arJiaFuPROULoj8ApUX1I61Hu5s3mOCr1jRXIH6DxchWct3goVhcHPn9gWbs9tsMo35NWojdTpTdPkl7V7+OH9//GwzbpNHuRqsvuN4DDbBrpVraHdpi8wnMHndPXEt1bOU8VbQ1qFW38tIW4Q3MK876NCBkcSMcZb0JiBz+k0ueSN35izTgmwi0Z05tExg60z5K+E105xL50Z/45MPAQhghRX1nL+pDlsKCi3TNPAQPXkQCjZZn3S5h8POWoGvv2dgFiF7DiuTzvenLORd+dvpqLGHW891m7gdNRZbl702AWHM35oNmxfDLnTYN4kCKTwte4EtwXwNo8kTWHAb6FG8qYi2B4GbZLjKCyz9pz3JbVVDCf1a09aYizpiXGkJ8ayemcpkxdssczjNy49evI17SVSVntMvvpfxLBzrsNut6uNsJe9D8unBJ9MNv8XnOHQ4uTw1r0VjHlxbr3Rb8KRXfj3eYMwfF0lnU6YfhcsfFV9t8UqfbjfGQe66oIgAHn5pZz3whzKq633l2kg63f8Aa8er16u+nLoeIpGhRxubvsn9WyXxAsXD6OvfQcsfht+e9F/P3FxgHThYCFOnOc8j23oJQDUOpw8/79/cmvFs5bpn4i/kT/95Q46pbciIykOwzCYsmATydOutIzNXnbOa4wb3s3reKh7FYVyHdSUq5j2H14Me1Zb35z9Xb1aUw5vjIZd1u1+sHS1o/89g/ur/mPZJtfX3uy1gW0wT/pwMOOSMfqMVsbz1p3UfCc5C+cvj2HLa3hP/G4QHCi06aEjU0MlKmRwJIm6Fm9KXpq1vt4Q3yszmX+cNdA6ccVe+HCC2xB/zG1iiBeECJPaKpbUxMBxuj9euNV7ApKaHdgYX7Eblk9VS+kDrscUDib+PHt2FFexeHMRNgOcHu+hk+NjmDiqK5eO7MzWVy70UqizjUJybGu5OnkuPXfkwM/fQpm1t5AXqZ0O1OWEjj1GKdqN9Ti22ZUiGIpxPdQyhJAYO6wTM3N3W4admXTxUArLqlmwaS8LNu5l8m9bqHNaO1gUV9bx2dLtIdXhf9+toaK6juz0RLLTWpGd3orEWBs3fricb1f2BO5XCauABTC6/HflYZk9VG2kddq/4cn+7k2x/VG4PqQ6Cc2PovIaJr65oN4Qf0r/9jx4zkBliPf0BNu3DZy1UL5bZbTHq1BefU47iLUXhOimd/sUumYksWpniWWaBrrwrt+tDayrpyldQcb+Q4LG7iVTWFbN3PWFPDEj13JD1q8cIznHWELfbx6HLXMbV4EDpAvbjrgYZ953DUKcGIYyftoOn1B/LNZuo9MJVzB92rwGRlzDUEbc7qdcyZDO3mGCx+R05cbcR5hpFT5nWNcG9bLHxDD4lk9Z0Ejv8FCug7gkFU7lqOsDG9eHTfT+fvgEyJthbfgdcpH3sbgkGHF14DJcLwiamKyMFG7YfBNjnLMbtMknjuO8DPEAHzlOIMe21vJlx7N157He2ZHutl10M9RnsLERm2GtPxs1ZbBiaoPjNhrG1DdNMHKn4Zx6Bbbep0BiG0jMgI2zrfcYE5naYhHPeAuCvYVesqWIcS/Nw+E0iYux8cX1R9O/Q2t3At/JR22Z2zus58lqYzvxHBSEiDPq0R/rN7DyR3K8nZ/vPJG2yXqD18bGQx5wLpz5FCS1OUA1PWBEzRuC/fEGCubZA5CWGMvlR3dn4lHd1EubYJuF+mKPA0cAz+ToDL8hNCGhLOMONaxNuMTH2KgOJRxOsNBfAF1GwdE3Qe8/Rctm9i1GDlfVOpjw6nyWbFGbXx/RJY3JV46kVZw9sCeYYYOLPoY+p0ao5oIguAimC3doHc+8e09xHzj0QzZClMjh/dGFA4WcOaVfJheN6ML8jYX8uq6Q1fplTaANWWtNO7GGzwqLcDfMDIcQVmQ6nGZIceldhBo+J9LXATTN6tVmukdTsPncw+cNIqdbOhv3lLOhoJwXZq7lvzzZaE96gKlx/yTHlmdZhsM0sAcw1h8QDg2ZGipRIYMjiXjGh0FJVS03f7gUh/ZAu//M/g0N8VaTj9hEOP9lMcQLQhPRIa1VwAlIWbWDox+byficzlx1bA+6BPImyOgOezeq/1d9AZvnwTnPqo1shGbFe79ttvTs+cRxHB3Skphx63Ekx+thsGJv/UaCvpqD1/fENqq9+50N3Y+Fz/7WeM8TQQiRGLuN8Tmd/YaK8eXCnM4BjfGPjT2M0wZksa+ihqKKWvZV1PDQV6vYVBhgEu2HQIZ4gCe/W0PrhBgO75xOVmoCjsP/gn3rb5ZeSoDysNsyF9r2gVE3wuAL1YaeLSu25iGHw2ly4wdL6w3xPdom8frE4coQD6r9rDzBTCeUW8fzFQThwBFMF95dVsNj03O55KiuZKe1UjI3ELv+gG2L1QooWSXabPl0yXbL2O8/5O7mh9zdDY6Psc/mdPtCvxuyehniux4Nwy6Ffmc2nS4cwopMu83g2Ytz+HRpBx5feH6jDeuh6F1h0xxXr4ZTRhMQbJXoRSO6YLcZ9MtStriZubsDetJ3Sk/iwhFdKKmqpayqjtKqOj5ddRI55FnqqX+vu5LvHMPJNgroYBTSwdjL3TEfkGJYy9RQMXcswZj1X+h1MmQNcTumtLw48y0K8Yy3wPcttGuJ14cLt7B6ZwmVtWoyekr/9rz612HeMTFDjdMlCELEaIyHtAubAWcO7siVozpRvfgD//GQt86DL65Tm964OPxiOPVhWPN1cxgso2ZWFKo3UHFlLTNW7mLa7zuYm5dv6dkz3ZHDWwkT+ejMWNgyT3l/NWbDycR2cMca7/aUuOlCM8HhNLn+/SUBw9r4Tj6DycdbT+3NoI6pbN9XqT5FlcxYuYtaR+N0xw6pCWQmxXDNnof8PouLHL3p2i6FdnuXeP+Q3B5nq3Rsfp5Lv7E4mx9RKYc9wx3sKKqgzgl7ylRomrbJ8Xx23Sg6ZySqGezeDfDeGCjaZH3y6PQEE4RmR2N1YZsBpw3I4omSO2m9Z3HwE3cYAjlXwGEXqFAXzctwFBVy2MomESzsTHl1HedNmsOG3cWWjinKQ9ikV+xezsvM59ikLfTb/gnxDuu9tiriM0m88mto18d9UHRhIYKEslohmKzztxfSuBdmc/nOByy96f8Vfyd9OqSxYU85O4orMc3gselznZ14pm4sGUYpmfZyJti+ox2NXL2a2BZ6ngQ9TsC58nNs675rkER04ehAjPEW+E4+bnp/EUlrpjQYyPb2HMvLE0cQU7Ebti2C7Ytg4WtQXWp9cpl8CEKTEchAdXK/TIZ2TefNOZso0AaFQIwemKXiIdeVw4z7YMnb9b+ZMa0w6iob5LEaLOtqa1g67UVSVn9IWu1u9sVmUtr/zww953r/u883Pk/UDHxectji2vuPvoaf8gqZ9vsOfl6zhxqHelE6zv4z/4l9JbA3bqiI7BaaOaEurw7HgB9OOBzXKhV/Xko9M1vzzp9stF/+io6h6tZLrZ5fx9nPYx/mHb80gjI1nDxRJ4cD6cKfm8fz6cR+HFb7O6z/CTb8AsXWGwPXczA3uRaEFkQgWd+tTSKF5TWUVrk3pA9Zh4pPhSEX4tyzFtvGnxv8HMhwFKocDiF9VMjhUGwSY3O6sGTLPhZu2suKHSXgrLN0TFnn7EC+0Y4RCVuJrW78mG627oQhcltopoTrmHLPJ0st9dTHLji83oBfVetgU2E5X775BHdVP2cpI++svZopjhPqjweTqU4MbPi3y4aiC0NEZWqoeaJCBkeSFmOMNwyjPfAWkAGUABNN09xhld5z4Jvy20aSv7rK70C205lO68QEkqp2Nr4yMvkQhCYlmIGqqtbBp0u288qs9UFDNowelMXxfdqRnhhHj31z6DH3HmIq/C+1txos62pr+OPpMV4bhbpYknQsg2/5lJjYOO9raHyeqBn46o1AAa79F+cQnqs9lzZGCZnGPtobRWSyj9NjFpGCtWePF/Gp0OVItZlgrkVIBZBVTUJUEqoBP5jX0bUn9CQjMY5lW/exbOs+tu9r+JLSH3abwYjW+7jC/jUnlX9tOSkBqIlJIq7/mcrrMrUTjqQs1kz7HwMqlzRIewBkajh5ok4OB9KFi81EUo3Qwh0B8oJTEJqQQLK+qtbBZ0u38/bcTeTtLsOGk0mxz1iuLiztewGjq74lZdsvGD6yOtSXqKHI4RDTR4UcbqxN4mfHYJ6uG0uaUU46pWQYpYyyreBk+7L9c0TxReS20MxpCseUKQs2kTztSktv+h8HPU77tCS2FVWyraiS37cU8lyMlUwdzj21V3KUbRXH237nOPsfdDT2Br3OWnsr7L1OxpbeBVI7Q1pn6pKyWPnh/QypmN8g/QGQqaHmiQoZHElakjH+PeA50zR/MwwjB7jNNM0JVuk9B75JT/6T60uePnADmQxigtAscThNTn3yFzYUNNKIC6RSxsz422ljWK+GMYEa4qgjhjojBptZRwoVlhOWXbSlzJ7qdY5kRzFZFFjmWTDkIUacfxNE0cDnksMLP32G4X/844BOJszYRIzTHoYuR0G7fio2XzPdvEgQmhOhTlrOef5X/thWHFIZ8+Kvp4Ox/5vRumTGbjIot6t4oi6tN8lRSnsKRQ4HwSWHQ9KFE9tAjxMgJgGWvW+dTl5wCkKzwjRN5q4v5Lr3l1BWWWXpKeraALGzkc8E+0zG238OqAcDOLBRYSTiwK4+hp1YZzXplDRaDocggyFK5HAkbRImYLTtq2L/dzwCOg5V+wF8fZt1JpHbQhQSjgE/lA2Cx744l2WbC4LKVIVJL2M7n8T9KzxHB6xfioYqU0UXjizNOsjQgcIwjDSgjWmavwGYprnIMIxUwzDSTNPcFyz/saXT9Xn8/15DDHEDzoTsHOg0HPJXwTcBBrGhDZeTCIJw8HF5yYdCMclUERcwjQHEU0M8NZ4RGBrIFNf3LArAUeD/XBZ5UlZ9AO4JSFSRsvpD4MDuEWZkDYbhV3gfbKabFwlCc8JuM3h+whGNnrT85ciu3LXN2pP+jMOySE+MY8veCjYXVqjY9Ga7gMZ4h2lgN4I7k7hkRiZ7weHfy0jkcOMIpguXkkTKqXdDjxOh/SD3C87qEtnkWhAOEQzD4OhebUmKs1NcaWeK4wSvUAu+bDXb83jdRTxVdwHz468nwyizTGvHSYrp8ft+6MMtUQZDcDkcMikd4YYF3seyh8KGn0RuCy2KUDfuDXWD4AtzOrN4c5GlTP2/s/rTt31r1uSXsnZXKWvy08nL70TIZDTsAAAgAElEQVSOYR2Xvta0EWs4/f52oGSq6MKRpUUY44HuwDqfYxv08aWuA4ZhXA1cDdClS5f6hB2MvQRYLU2xLZ12499xH+g8AjbKICYIhyId0lqxo9h6d/S+7ZO59dQ+7C2vpaiihsKyGvIXtSGbQss8xWYia2w9iaWOWOro49xAnGFt9HeYBoVGutexNmZRQONTeu3uAFd16OBPDqcFubZSEkk5+1FIzoKU9urv2hnw1c3WmaxeitpjlMePeP0IgiWhTFrGDuvEzNzdlp70z13k7Ulf63DywpPzyClfa+l186BxDXuyTya1ehdptflcs+9/Ab2H6kwbe4yMehcdA5O2ZhF2i0kMiBzGRw4H04WrbImkHO0jc+UFpyAckgTThTult+KCYZ0oq6qjrFp9Nq3pSAbWhqNSsxUbbV2w4yBG+8d3dW6zNCaBksN7jbT67xnmvhYrgyG4HC4nkaTT/6VWJyW2ge/uh/wV1uWkdWl4UOS2IDSKA6kLXzqqO3abwTG929Yff/5/Z5BTaq0LP2y7hoIuZ5BSs4vUqp2k1+7i4tLXSTGsZXeoMtU3fWPyRIscbgpaijHewP/Q5XXMNM1XgFdALQmrz5yaDUV7rM+e2sn7uwxignDI4npzbcUVx/Zg9KAOXscm5Z3B0BLrwfK91L9x/W3/qj+e+++j6Fe7yrKMtXH96X/fPK9jwfIUxWaSZfnroYM/ObwvNpOsWv9v5QG2xXaj/7BLvQ8OvQTW/yAvRQXhIBOqJ32s3UbH469g+rR5DWJrGoaKrTnonGsYN7xb/fHcf39CagD5mBfXL2SZKnLYWw6HrAu7kBecgnDIEUwXvunk3g0MUJOeDKwLv5N6jZcuDKHL4ZYsgyG4HK5I70vSkX9zHzjyGvjyBuuCxDFFEJqEUHVhgPbHXsb0aXMC6MJ/89KFAXL//dMBlaktWRduCmzBk0QFm4BePsd66ONByThGhTLwDa/v+t7mWJ9QB+AexK6YoTZrvWKG+i6GeEFo1owd1onRA/0PIaMHZjF2aEODQ+YxlzHdMdzvcq3pjuFkHnup1/HS/n8GrGVK6YCGhuJw8kQLYV2766XouZPUPh2tO6m/506S2O+C0MS4vIemXjuKufeczNRrRzE+p7PfyQfAmJyuTOv9CHfWXs1CZx+2m21Y6OzDnbVX82XvRxgzrKtX+qaSqS1ZDoelCwuCcEjSFLowhC5TW7IMhjDk8OETlAOKP8QxRRCalEjrwtA0MrWly+EDSUvawHUq8IhpmksMwxgM3GGa5l+t0ntuloLTgfPjidhyG3pYmv3Oxhgvhh1BiCYivYmLo66O3586z3IX8iG3fo49xnvhUgh5omazFJccDud+CYJwaBOKHI6wTA0nT9TJYdGFBaFlEWldGEKXwyGmjwo5vN82CUedrNYXhEOUkOVwZGVqqHmiQgZHkpZkjO8EvA4kA8XAZaZp5lul9xr4QAYyQRACEupgWVdbw5KvXiJl1Qek1+6mKDaT0gEXMezs6ywNy43MEzUDn6ccDud+CYLQcoigTA0nT1TKYdGFBUEIRKi6MIQuh0NIHxVyWGwSgiCEQgRlaqh5okIGR5IWY4wPlQYDnyAIwqFB1Ax8IocFQThEETksCIJwcIkKOSwyWBCEQ5SokMGRpKXEjBcEQRAEQRAEQRAEQRAEQRCEg4YY4wVBEARBEARBEARBEARBEAQhwogxXhAEQRAEQRAEQRAEQRAEQRAijBjjBUEQBEEQBEEQBEEQBEEQBCHCiDFeEARBEARBEARBEARBEARBECKMGOMFQRAEQRAEQRAEQRAEQRAEIcKIMV4QBEEQBEEQBEEQBEEQBEEQIowY4wVBEARBEARBEARBEARBEAQhwhimaR7sOjRLDMPYA2y2+LktUBDC6UJN31R5oqWMcPK05Hq15GsPJ8+hVkaBaZqjQzxXsySAHJa+EtkywsnTkuvVkq89nDzRUkagPCKH/dMc2/Fg95WDWUY4eaKljHDytOR6HYrXHhVy+BC0SRyKfeVg5omWMsLJEy1lhJOnJdQrKmRwRDFNUz4hfoBFkUzfVHmipQypV/MrQ+rV/MqIpo/0lZZ57c21Xi352ptrvZrrtUfTJ1rasbn2lZZcr5Z87c21XtF07dH0aY7tGE19JVrqJdfeMq+9OddLPuojYWoEQRAEQRAEQRAEQRAEQRAEIcKIMV4QBEEQBEEQBEEQBEEQBEEQIowY48PjlQinb6o80VJGOHlacr1a8rWHkydayogmpK80vzwtuV4t+drDyRMtZYSbJ1qIlnZsrn2lJderJV97OHmipYxw8rRkGQzNsx2jqa9ES73k2ptfnpZeLwHZwFUQBEEQBEEQBEEQBEEQBEEQIo54xguCIAiCIAiCIAiCIAiCIAhChBFjvCAIgiAIgiAIgiAIgiAIgiBEGDHGC4IgCIIgCIIgCIIgCIIgCEKEiTnYFRAEQRCiC8Mw2gNvARlACTDRNM0dHr9fDNxomuZIP3mygXxgIuqF8XJgLVCpk/7bNM3vfcpoBdQBDp1+lC43Wf+2WeeN1efJBKpQY6Ad6Af8Bjh1uiOAX4FUoD+wQ6etAWqBlcDZuqxsoBToBvwOtAbidV2cgAGYQHsgT9ezROer0eVtBy4H3gcOB/YAs4GRurwEoI2+nrXAR6ZpPm8Yxj26rEeBJcBpwL90uunA33ReA3jdNM1JhmE8BaxBbbbzrb7Gal1fG5AIHAMsAI40TbNK51mrr/kJ4HV9T1vpPH2AP4B9wGW63HjgQeAb4L/AhcBq/Xt7YDHQFnjHNM3nfOr1I5ADrMLd7mmmaR5uGMarQKFpmn/3qdffgf/T9/wwoLOu20KdfxxwpUe9fkT1nc66HU2Pdk/U9+wWVD9cA7wJLNL3qhjVbzp5XAs6305gqW6TBcAjwEvAMv3bFn0P8vX1rwNSdP1/BlYA7VB9ZQtwP/CRvretdbkVutxifbyHrueFwGeoPnQHUIjqYwU6TSGq76UDWcBGfT236TbKAG4Gbkc9Ixmovl0NDEH1b3QdTwS26ntciXo++up7sEbX0QYk6U86qi9uAN4BPkY9v4N0njxUX9+ur/lOYKRpmkNcbQ48pfP01vdoE6pPpaP6okO34WjgZVS/eBlvGWHT9ztWn3ORz7W4+nAW6tl4Wt/zdOAM0zTXGIYxDPV8+fbho3R6l9x61DTNPH3PMAzjJ93ehaZp/h0PDMNIADqaprnBM71pmicSBk0hg33yuNpkI+qZi0G1q+tZ3KbP6ZLBKbjbxA500Hn8PYtx+lhr3DLVieqjufh/Fl1yOFHfg03ATOB4oEyX2xbVznm4ZfCNwGB9PTGoZ/lcYD3qOeoM7NV1cMlhl+x6EyWHlwH/RPXhOVjLYZfs+gfq+bPhLYfjcMtgl6x/EPgBNX4NInAf/j/cMvUbfe6bgSNR8sZLDqPGDc8yuuj7uFG32b+Be/Howz5y+xvdTiW6PdsC3VFjq4tx+hyua38SmIqSLaa+T0P1fXPJ4NNxj3OLgLuAd1HjcDYNZfA7QE+fNqlByTLf8TcFbzn8f/o6bwI+18e36Pt8DrAL1d8KgDRdbk9dv84omf8qSi5N1teTrMuqwC1TS1DPxhbdXjb8y+EBqLF/s07XDdUX/Y29d6Hkj69MLdHXmAT0Amah5NlnwLG6vAzU+IS+79t1e7wN3G2a5olaDleino1s3DqUU3/Pw78e4ZLDnjJiFUq/2WRxLZeZprnXMIyLUH3ArtuiDHgMJZsbyGAADznsyvMX0zTr9G8/eVxLVMjhJtKFPeVwNm6Z+j1wHKpPZ6OeexuqXVwyuEz/X6Pz5wEno575Yvzrwg/pvCN03dqidIcE1LNoJYfXA1cBZ6Ge4wdRcjgW9fxuwS2DPWXqtyiZd6OuQzXWurBL3v2Aep7W6Xvrqxft09fo1GV8hZK79+pzXqbb8wR9bdGmC7vksGebfEHD8XcXbhkco8//jr6fBag52EzgPvzrwg59f3qi5GUuSsZ8iH85nIhbpuaj5KJd318bcDeqX5+NksHJuPXnatSY5gB203DsdenCmfr7Xn0/+qHmka5xaLDO2xa3HHbJbZf+XAnciuq/n+l6rUN04ejDNE35yEc+8pGPfA7YB3gPpbyCUiQne/zWFXgDmO8vD0ohyEEpUN1QA3YPqzJQikQ5MFUfn4NSxnoAlwL3+eQ5EfgJNUGfilKK9gE36DSjUJOTgTr9MagJQQnwoU5TgFLibLqcRcAP+re1qMnEbH38Q5QyVQuM02luQRsr9ffHURMAp0c9fkIpYz2Bv6IU+ZW6zPdRitcelBK1Qp//QX2sRJe5BaVIG8A01MSgFngeZTCqRCmt/XSZ3XS9Vuh70AOYj1LctqKU6CtQynUPnWcq8If+/3qUwrkHpagu0+f7RLfnFJRi9pNOb0cpcYv81KvMs91RE5/z9Lme91Ovc4AilBHjUuAa4FedN1unL0AZBT3r9Z2+p/XtrvN01+lqcE8ManTdXNfeAyjxKCNf12Gnxz3c7NFul6ImHu+glO8HUBOzWfo6VqD6wFqd/lzURGm5LuM4lAK+Fhjvcd836zbfB1yNUo5dZXyGUvLXeaR/BTVJ6KHbPE/fwyrUJDlFt8lYlHHkT6j++bXO/x9go0fb/Ioyjq1FPSuTgUt0+xwPDAP+jJow2IF5qL5wpEeeb1B9fCtug8xS3G3+GOp5HIWazJys88xH9SlXH85DyYMqXQ8vGaGvZamucw8/1zIB9cJpsW6XNigZkQ/8Q6cZhncfnoeasMwC2ng803N9ZNbvrmvxI88GA2/4HPuhOctgjzyebTIZ9QzuxPtZ7OZThsso6ZLB81Eyzd+zOBm4AG+Zeo7uX1f4PosecvhG1PM4Sp9jFmoy7XrJuhRY79Fem1HytBw1eb8JJctW6Hq9CuzR6T3lcC1uGVGr+46rD1vJYU/ZdS1qAu7qw3ehJtOeMthTplaijEev4L8Pu+Swp0ytQBl8jtFt7ymHO+u2KPAoo1zfr1y85bCrD7tksG8ZJcDNOu2lwDqPvNkog5Cv3N6u76ddn2e7hwxerOvlkqk1up1m4x5/PdvdU1Z7tkkFkOo7/uIth9foe16lrztXp3kKpS+8g1sGu+TIRg+ZWInqX6NRcs/V7i45vAItU3We1cBaj7HXnxxei5JBf+h6l+J/7J2AGmf8ydQK3HJ4ua6rHdWnTvMYQz5APYuzdR1K9LV4jr0rdBmL8dahioAHLPSIyTSUES/q8q2u5QmU3C7FLYPn45bb/mRwW51nlk+e6y30iKiQwzSBLuwhhy/DW6Z+gerz/nSitcBFuu4luHXhfajn3IZ/XXgL6vldg1sO1+CW9VZy2IGSJVWoF1sLUc9Nif7/HbxlsK9M/RR4Dbde5E8X9tVTt3hce70cxv1yqsKjDJe8W4dbF26N6pNRowv7yOE6jza5R5flNf7ilsG3o14AV+HWhe/W9ToPa1043eO+L0ON4VVYy+FNuGXqKJQu/KzH2FuO6ksnAyn6+DrcuvBMXW9/Y69LF14E3IBbplYCM3Wa24AtHrJrD8qRyld/LsOtR4zGQ39EdOGo+kiYGkEQBOGAYRhGGmoQ/g3ANM1FQKphGGmGYdhQg/ud/vKglNZ+KEUsFeV5ZqIUI6syJqI8EZIMw+iIUjRSPPIU+pSBLmMqykPgGJTCOFb/9gRKedyuy/gV+Avam1OfpwKlpDlRitIWoNowjB64PQn7obz+UlAKYQXKIAlq8uPU14hO/ztuzz1QExy7aZrrUQra00BbXebNqMnH4yivjhx9nSZKyX8dpaz+YWpQXkIL9H3JNU3zcNRkx4nb42YXUGWa5iCUYrcDNZmq02VNRXl8xAMOwzASUUr5Pp1/Gcrj+XF9H0bqa+0IDAce1u1TodNn6bwX+9RrBUqx82p3lEfP8ygl1bdeI1Ht+blH+mIA0zS3m8rz7DUgXpfhqletvqdPoIxAK3WejSivlH0oRXKQvh8GShlF/1bu0V5zUd4nMTr9Sn1vY3QZi3Sd7aZpzkYZmOJREyTXva7S5TtN0/wCZUjfqI/NAp5FKc5fApWGYRi6/DxUH/mTvkcOXcbjqP6SBVTp9GUopdyBavNdwC+oNp+DMmr0A77W9e+ImqTF6DbPRk38XM+VHTWB7IiaPKSi+izAJtM0F5um+SGqT2Th9kjd7ZEnG/V81qK8eJ7W+V1tHq9/H4Dy0JuD26MuA3cfXqfbdhF+ZATq5VYRaoIZ63ktms36+gegJgCFqAlHLWpChGmai/HuwxXAUcC3Or2rPfq5TmoYhstT+Hn8MwxlnPGk2iJtQJpCBvvk8WyTVNQzmI7Hs2ia5iafel2DajuXDK4A2vk+izpPOkq+ecrUUbpOZ+si6p9FDzncG6gxTXOurlcVYJim6fLmWw3EGoaRjnrG7kL1HYdpmi6DqGsccOI2GOMhhzfreizQz3whSqa6+rCVHPaUXQPxlsPPomTXfGCHll2eMnWxvp46/PfhZShjvadMXYLyursb1faectip6/RfjzKm6zKS9Xl8+7BLBvvK7Xi8ZbDrmjBNc7u+x3v1fXBde7y+n2P1Pc7V6TeapjkMJbddMnUHqq+Ve4y/rnZvi+obN+Itt4uBat3u4DH++sjhGNQ4vFzXw9BlxOoyHVoG34EaG3oDe7RMzUT1oZW6jAtxt/tslHGqD1qm6jwu71uwlsMunaYSNfbE4H/sLUTJN1+Z2gXVTzZpubUF9ez00ef7xTCM7qjnOA31LBr6Pr/u0Y7jUB6rrXQZA1Dt7Hp+y4FTPa7FpUcswr+MWKXbyt+1bNZpJ+q/5Sj5WIH2SrWQwaUoGe2Sw648F+CNa0zxxyElh5tCF/aRw0fgLVO36DK9dCKXDDZN8wOU8dG1Gup4lCGzvX62/OnCb6Jk9a8ecrgKOEOnsZLDtajVM/N1PV1yeAVKX3J4yOAf8JapLl24Brde5E8X9pR3i9FywVcv0rLuUlT/d5UxFaXPdUTrwqZplqD6V9Towj5yeC9qlcN8VP9yyeH68Vdf407Uy4Ge+nwuXThR1+tzrHXhSmC3lqkJKOP9Mn0ef3LYU6Zu1teRqdM/q+/HPmCOaZqlWj5m6fp0RLW5gc/Y66ML99P3uDVq3mfq45im+SRqXAW3HN6Mt/7cSZ/LpUek4x57RReOMiRMjSAIgnAg6Y5SAjzZoI+PBt40TbPQbUP0yjMB5Sk0XucxUMrMU9pgshk1Ee7sUcb5KMU6DuVNMB+lDHyIUjgKDMM4DTW416GUs/UohX4DMAalQCRrpSsNpUC+BQw2DOM91LL5X1DKUQ+UZ0W2YRh3oxTMq1FG2Dt0+ReilNVE1GSll/4/W9fZpdC9YRjGcpTi3Ak1IehlGEYSSpm1GYZhRyloY1AG/44ob6JuqMnDXNTLApuu51aU4pelz+ciDzga5fU2TE8G26CU/FaGYcSjlMe13k3HBFce/f0EfR++QC1J/gooMQwjG+XdcjnKYDYX1Y6dUBOGzbiXbA40DGMeSkG7D7fXq6uMDqi2f1nXazNKIfwrSnn1V6/TUJPxf+jrTAPshmHMQnl/PYDyDFlpGMZxul6LUZPj+nY3DOMNlJK6FdVflus2cS3pLAE+MAxjJmqS+Icu/zqUt989HmVUo/pLtW5HV9iHow3DeBDV7q5zzkIZphxAa8Mw7KZpOlAeTD31RKMVSjHfi/LweV3X1bVM1UD1rTzcy8xd7b4W98T+YpQS3ho1MX0UZRx14XoOXWWci5oMdENNhr7SdQZldO+k28L17G5DKf2uJeibDcN4GTUBWQm8oK/b83lPRk2IFnvUvRNwJqrNU1HPvOt5H496vjeiwuM4dV8ZhAoL8qBH23jKiDGoCVs7lEfQl65r8ejDS1CedG11/jNRfSvJ4x759uFueD9vo4Fa3bc2oQydK1DPpj/O1Pepu578gh8DeCOJuAw2TbPAI49nm2xATT5rUUaSM4A0wzDGow3I+lk6E2UArkK1ySbgCD/P4hDUfZ+IW6ZuQBkUi4FjDcO4Be9n0SWHT0AZG4/DLYdjDMPINE1zhWEYJkrWPAHsM03zTsMw/gus1WNGW9Q8KU6fdyUwTt+HapRh2eVJPEzLbRvufgNB5LA+NlCXE0gOj8RbphahjGbjsO7DnmV0Qk24Z3q0vW8fPsmjDFB9GuBTPU4l492HfWVwF5SR4x+GYfREGQayDMP4VN+Tn1ChDJbrtgDVRhW63U/Q19XbMIxfUDL4Vtxy+3iU3FgMDPHT7i4ZfCFuuZ2k65us291lrPYdfz3l8BmoftnOY/w9C/fLSFe7u2SqKxRSd5SXLvp/lzECfY+24ZapqSi5ttAwjDbAMwSWw5NR4SfK8D/2Pqjvr69MzdDlumTqQNTzvABYbJpmtWEYrjz9Uf2pi75mVzv3Q429Z+j2mYBbPrp0qFKUEdi3/yboc/nKiHNRz0ogPeJFjzxnomSE68UV+PRffS29cD9vrjyHAegx1HUtLj3Cl0NKDtMEurCPHO6KW6Zu0McdNNSJXDIYtBzW9XIZAV1taPUs7gPi9PPrkqft9d+Achh3mKR2On0Gauzopr/noeRPV5S8uxClC29HyeEYGqcLuwymXn0YvORwGd4y9VKUTpek072MaqMVRJ8uXC+HcYdgc8nhBuMv6kXxUpR39Vidfiju5y+YLpyIMlSfhvJOh8ByeDJq3laJGns95fA7Hnkuxi3rz9X338RHf8S/LrwBZVC3obzkXSQYhrEAJY+WoNrdU3++DfWCwjVnvAr32Cu6cJQhnvGCIAjCgcTA/yBrR3k+fmuRpzVKsb8FpcQloAb8ZeiYpShl4RlXGYZhuGKXvoHyUotHKSbVqEmly2g9FmUwT8ftnXY+SnFZgfLQ6KbTr0RNRl9HLaNbhTKoPItS5K5Ae9qhFL0nUTHB7bi9BmpRCvilqKWR76ImPUMMw/gepbRVoMIMPIGaNLdDxSkcjVoWPw2lAN+JmhhUo4yVL6M8Xmp0PaegYmzvQimXh1u0Qw+UEjcZ5Un/L12nXJRB9gOUAr3LI09P3SauPL1RyvV3KIWxg/5+OEoxnqjbwFWvW3S9XffXxTLTNI9CTcTOQHlzTwZyDMO4EuUV5jIGnIxSxOJMd6zVdD/12o5SMAeglN/79PcTUH3rEX0/P0P1ob3AJJQBwrPdHzZN83jcMW2n6Da5V9+bGn2Nk1BtP1gr8cehDFGuMv6ur/lh1CQhFzUxytf/P4Fq8wtQy04HogwQxajJj8tjzmVI+UWfF31f2ulr+Ba1bPZ9fX50elfbD9P1eFDfp3koD6oVqMnji6ZpfoN7ctwT1T/b6U9n1GTqW9Qk1tXmfQzDOFXXcz7u5+cq1LO1BDURudcwDJtpmn/D7d08TN931/N+L6pN/4nbg+ZIVDxJV5u7ZITreb9FX//L+nhXVB/eqK8HGsqIIag+7/JwG+pzLU+jnotuqAn20bo/LkQZrzrpiSh49+HjdL1NAMMwLtR5NqPa+WbUEvh6L2FPPNI/ADzhUYbTX/pG0BQy2DOP6/668tTpv/NQRsz7UMaOq1HP5CP62t5F3btc1LUn4vMsovrTXtzG6EtRz/w3KNny/+zdebglVXkv/u/qCUEEERCQKSKi4hCQI0YkEZN4AxI0RqJxSG5Ar8QRjT+jN/6imYhBHGLUEEVQUSOKOBvaGCNKEIEGxShoUASRQQYBQZm6e90/1tqc3afP6T7ddPXpbj6f5znP2btW1a5V01ur3l17VcnKx+IoDte0uP26TMbh25N8vZRyVtp+fWWSdya5oSdGalrC4oS0fX5JX5b06WvacfPhXrYgk3HonWnH6/+kXQRPty2mxuF9+jr9VmaIw30fHo+pN6X9pP+WrHofHo+pv+zr8bdm2Iefmpa0PLVvx53TEtOfT0sKjProH+3DK8TgPo/RL272TkvsvzJtmz4zLQ4/PO38O4qpe/S6X5x2nBzQ1+f3egz+ZF/Po5j6nrT4eUPa9etMMfiusXm8PS2eXpq23ac7/06Nwztlsuuw0fl3edqd3x9O274PSIupO6S1E7ZIi4MPG222TMaDh/bttKjP64dpyY8L0vap87LqOLxb2rn1X9P2++nOvW/o62RqTD0lk3d9Jm0/OystEfOgUsqRY9OM7kg8IpNx+Olpd8mO7oTdrI//mbTzzd5p55Jzez2na0dMjRGjaW6cYVlG7YjxWH9RWozYanxZxmNwKeXgTLYNx2Pqr/R9/hVjy7KSjTQOr4+28HgcHrWFX5fJOFwzpU2U9kvIH5dSnpjJOPybaX1+/1Na4nemtvCvpiUbn5DJtvBNmUxMri4OP7TP4/tpcbhkxTZR0o7XUUx9XdqXtR9Mu3P/nVlNW7jHu+vTjuPxfXhqHN4ukzF1n7Rk51fSjs/0dtHXsmm2hcfj8J5J3poW+6Y7/96eFlevSOtm5yVpbeF/zeTd8qtqC38qLfYsSGvfPqqXzxSHd0tL2n+/r9/PZcU4nD7N49OOl79JOz89LO14ujErn3untoWfndaO3S6t7Xz4WEy5uc//d9Ji7u9kxfbz6WlJ/b/o6/6sTJ57tYU3MZLxAKxLl2XyrreRPdIaNI8vpZxRSjkjyd799c5pjalD0/qqXJ52V8DvpV14/yi9644+7LC0hvb/SkuCvz2tAXpZLzs/PUlTa/3PtIbXqB+/B6Ulfi5OS2T8etq39MvS+u07PK2RMvo5/1PSLjhvyeRDkA5Pu1C4Oa0hd3Amkw+7pDWYX5t28b8grWH0H2kNySvSEunPT7voeF1af8G7pTVst+//D0hrGC1Lu9h/cdrPbkd3pPxhWqPqlLQLrn/t8z4rkxcz1yY5qK/jC9IaZ6OfrV6bdsF7Tf/MR6RdjByVdqfpGX1535XW72Hty7NvWsPstrQLoZPT7sDaqdf9j/o2+VBfhp/0ej4sLXlxQV9Xh5RSvt7r++i+fkbz+HEvJjYAACAASURBVNu0huulfV4np+0bDyil3NSX9X+nXaCO1+tTaQ37D6YldZ+UdvfMmWl3+jw77cJgom/r7dMa1KPtfnYff3SH1qFpF0539PGOSGsQ/jItSfd3aXfBb5XWmL8hreF86th4W6f95PrMvr4O7uvjV9MuIJ+Wtk98to+/R98e1yfZoZTy0rSG+HZ9u+7Ut/8Xknwx7Qujk/t6Pj3tgv1haY3dQ0spb07rNujjaQ34+/dxLu7jnZLkaaWUk9OOhf0ymVh6Tdqx8uq0hOo1Y9v8gF7X96VdfDw5bT85rK/DrTL5JcTnk5zc57Fdn+fP0y60X5Z2LG/e19lX+vZ8R9o+uUff5p9Pu0D5w7Tj/bl9mR+c1si/M+0i/4V9mjPSYsJvZzJGPDdtf9kr7bi6rc/no2kXHO9Lu+j7516v0QM7/7Yv8x1p+8poWUbHycF9fS9Mu5D5P327viPtgvTjafvJy/s6/sckzy2lnJokY+O/pdZ6eR//5H4RsjBr57IMHIP79E/v04xi8Gia0Tb5Rq31B2nH4i5p63a7tGPxnZnsDuEhafH0zkw5FtOSLQ9P22f+J207PCaTyYArsvKxeFWf54fT9pFfpsXh0QMDP5cWP5anHY/vTNsnnpV2ofnUtNjz22nboPZjcX6f7q60feaYPt6CtG39xEz2I7x9WkJqx7R4d0Yp5XV9HYzH4T37POdnShzO5IOYp8bUB/b1MDpWZtqHx2Pq6PjfKy25/ti0GPH1tAvk3dOSMLWv/19Nu3i+Je34OzQtFh2aloA7IivG4L9NOy/+NC0Gn5z2xcnCtPPv3/V1/b20fenKtHjz0bTE0Of7Mtwv7VcGZ2QyIf2JtPPrt/pnXJYWb/+u1vqVPs230/aTN6edf5dl8lx6a6/j57Ly+ff1fXuPx+HN0+LkdZk8/26byfjxjrRj/otp+/Pj+md+Py3m/W7a8XZIP/d+ro/3+bTzwSfTvli6Ni2uvS/tztcz+nbftQ/bIu0L+lFXYW/JzOfeA/q2mRpTT+3TvKPHlIm0hMkb+zK+bmya+2Ty2SWXpj0494lJ9ulx+B1pX1bcJ5Px8YlpicvRAxWXZsV2xLb9c0Yx4uw+zfvGtvtM7YjxWP+EjMXt0bL0eZze6713r/fz0mNq2r7+0z6PZ6Td2XtGNpE4nPXTFj4pbZ/eM5Nt4Z9ksi/sO7Nim+gB/fOfktYm+ljaDSM3pMX8D/TpPt0/c7Qfnt0/c9SP9qj/8jP667t6HD41bf++q8/3L7JiHN66r6vL+/pclPZFzKF9ff9t2nH8kbTz9zfSzhNbp+2vV9daz8rk/rVfWrtlakz9YV+/07WLvpmWUBx9cXB2epdcfb3sleSxpZRr0s5Vm2JbeDwOb512TfPDrHz+PaHPd7u0O/7/vq+HbdNi7OZ9uz8g7cuHLdPORTumtYWPTIu9W6edmz6atk/9Y9r+dEg/936gz2P0BfDD+3i/zMpxeOu08/sX0o6l3+7r5KpMxsep594HpiXVR8fujZm8gWteVm4Lfzpt/9u2L+94+/mYTMb6A9OeA3NotIU3TXUD6Ljenz9//vxtOn9pF8+P7a8fk/aE9anjfGPs9aPSGibj05ya1nD8RJLd+/DnJnl7f/3vaSf0+6Q1fE9JuwD4btpF++5pF3Dn9fEn0hpQr+rTfD/JZ3vZxWkN2BdksmH6gLQG0kvTGr3npjU8fzetcfLNPu0j0u5suSmtgXhaWqJj516XT/bxrki7KN0lLSk0enDgfpl8kNbojuld0+7Su6Uvx55pjaJvpzXivpXWkDwy/QE4aRf3W6Q1pE5ISzL8KC0J86i0BtreaQmSN/d19cG0RvteSXbtn/Ol/v+8tLu30qc5tn/GwX1d7Z6WLPpW2p2Mo+241dj488bm+76+fi5K8tU+/r5pF9L7jE2zc1/fX+zz2DVtu1/epzkiydumqdfeY+v41/v7m3odTk27CByv18f7OrwkK2/3/dIa1SeOra9dM/kwwUX9/VZ9mrP7si3q478kLYl0dq/HaJ1e2Nfd+9Ma1b/fl3NBH3/X/nln9fGfn3a3yyl93Z6WlsT/1bQLyaemXbi+r6+rv0rb7qOkz2fTjqvH9NdPTNvun+7lu2dsu6dt84+lJaAWpl287ZKWuB9t89G+efOUY3f/Po/n9/U9P+3C5YC0O4mek7Y/bpZ2cf2VPs2Zadt/NM1oP/mrJBf0eRzUh3+6l12YdoFyalqi7IYkT5qy/56RdvyOYsT3+3p8YtrPkM/qnzV1Wbbqr+/T57N3r9d/9XW7a6/PaB/eLO3icv/+mU9J27/+NMmL+zjj6/igjD20qtdh3pTYuMKxuAHH4NE0ozu3nji2TW5MOxYf2tfh2X29/CQtwTy+TXbt6+vaTH8sntnns2Na/PhkJu+oPCzTH4un9W1xRlpy7xN9W3+31/2Dacfeuf39C9LOKa/MZJ/Vu/bX30k7Do5IcnEf/8D0O8TS43DasXVGJo+tt2X1cXj0/rJMicP9sx6blWPqF9KSF6NjZaZ9eDTNzn15T83kMTxdHH5D3w6j9XdYJmPLy9Iu5L+U6WPwaB7XpG33XdPOv6N6TaTFsqePTTOKwV9KS9wcnXYu/Uqf5k/7uvyTJG/uw/477Tz8H5khBvfxRttk174ev96HTz3/TheHz+7TnDl2zvlAr8vitC+Vd0lLHp+ett1HsevtaTHw4LTt/qi0JMdpmYzDT+/jX5Zkr2lixCgO79zHf0Imv9Re1bl3FIenxtSr0pK3B6W1IY5Ni1vX9WVbmHZuGyVpR8vyvr4cXxpbD/+Ttk+Ojt/P9PFvSEv8TdeO+GwmY8SLer3ekMl22kztiFEMHiV3X5zJuH1QVo7B+4xPM7YPvXiaeh2UTScOr4+28CgOn5527v6TXp8Ppn3BOd4muiu9n+m0/XHUFv5wH+dfMnkMTdcW/mIm4/DoAaG3pSWeZxOHx9vCu/f5npN2/Ja0Y/5xWTGufCztAaHvT/Jrs2gL75x2HvpSZm4XjeL2KKaOt4V3TzuWduyfscm1hafE4bPT9rXRg2TvPv+mJXhflbYfL0iyfx/n5rRz4pcyc1t4FIf/Myu3haeLw5/s485LS/zOFId/lrafPCSTbeH5aW2cx2Xmc++n0+LjKKZ+Iiu2hXdN61Zp9ADXfdPOmc/Lyu3n0bK8rS/HqP2oLbyJ/ekzHjZAo5/m1Pbt6vjw+W3wisNhA/PKJCeWUrZMa1AdsaqRa+s/8GXTTHNXWuLxQ6WUZWkJhP+vT3ZkWgNxy7Rv6h+a1iBZktag/1janVe3lFL+Pe2OgxPTGjWHpzUcd+4/l9wq7WLn/bXW5aWUy9IabYvS7uj5cVojcYe0Rsh3kzyplPKVtDsMvpTWaPhGKeXoKfV6cGn96W2RdpfxNmkXBr9VSjmzL+NP05KVf5l2d+avp130fy/tQmJ+2h03SWsgvqrW+r1Syq+lNSSTdkfE8l7Pm9KSXtdm8qGtJ9VaLyql7J/k0lrrVT3ObJfWGL69tL5L9+nb4BdpXwaM/Kgv/82Z/Jn6/PSL935nRNLujvyvtJ9ILi+l3DZWr5/2ujy635G5NMm7a63fKqXs06e5spSyPC3x8KE+/kV9G4zqMeoKYLxey9Ma/K/q2/JX0h9Ql+SUWutppZQ/GavXL3udtsvK2732ur4krcF+aa31ilLKLWmN9K+m3aFW+7r+t1rrN5Kkr8PltdZzSyl3pCW0Jkop56ddbDwkLYl+v7RG/Q/TGspJu5vlB0keVUr5r7QvSo5Na3j/U1pj/nt9veyZdqfM99Ma7Fv2svPTLgRe1oddntZ4f0zaHZGX9O23PO2LpNF2n5+2zSfSjp0t+jTf6XXcOy2R8620i4eFY9t8s7QLiW3SGvjfS7uwnZd298uitIvOzdOOlXenNdZP6evgy2PTPCTtrqBkxecaXZ92gXViJu8y+p+0i5ktkhxbSrk9bf89oy/PC9Lu7tkyvS/qtAubB6TtI+9IO37GlyWllB/UWl/Yj+X3p+2n26btR1eUUnbMyvvwuaWU1/ft9VdpFy8vT5Ja6xX9o0d9j99ttN9MGTbj+Gtg8Bg8Pk1aDP1C2jYZ3eE3fiz+IO24OT7tIu0Zmdwmp6QlWRdm+mPxZ2nHy2lpx92D07bdL9PuwFvpWByLwzum3fn+gz6PzUop/5F23N8nyTal9Xn707S78g5OO07PyuSdu8/L5C86tuzjb5HWZcRPery6rMfUpO238/r4q4zDaXfTLUqLYSvE4V7fi2qto2Gj2PXztMTI4/u6vizT7MOZjMNXltY/74K0i93L+7ZcYR9OOz7v09ffbX0ev5Z2R+cFfbsvzjQxeGwe3+zbfVGf3/Kx8+8ptdbPjOJwJvuAXtTX+2+lxa/P93PrCjG4j3tD2gX/3/f1tVIM7kbb5Iq+7nbo233q+Xe/rByH56Wdq7/c4/A1fbq9+//RefkBaXH4U2nJwoenxakv9nGuTYsfj870cXjXJOeUUi7s2yxZMQ5/amz89Do+PDOfe69Ki29TY+q8tONkUd9uv0yLw29Iu8Py5enngrTkX9Li8Glj2ydp2+xLaQmcUUzdJW0/2zot+ffkadoRr0qLw1ulJfP+J61tsdUqlmU8Bp+eto9emMlfX2yXadoRfT0eneT0UspompfX9vyV8WVZwcYch7N+2sKjODz6hd4/pm2Lz2XywcO3px0TN/QY9ydT6vXItMTvzWkx/DOZvi38vzMZhz/Wt+MNae2j/5PVxOG0mDVqc87LZJ/6h6W1EU+qtZ5XSnlkJuPKnWkx95FJHjHWlpi2Ldzj3R1px9pn+jJNbRclrQ360bGYOl6vO9Ji2P5p57NNqi3cjW+TpD1DZIXzb1ri93cyFoNL6xLlf9J+lfHoPq/p2sLjcfjraW3hR6Uds3+RlePw1Wn77+j5VaM4fHLf5qM4PPrF8Kgv+sek7YM/TIt598/0595RW/jaTMbUL/f6/Ftae/q2tP13FLv+Oi2R/ris2H4etYVHfdKP4pC28KZmrr8N8Odvff6l/Zzv9LQG5W6rGO+hSRaMvf/dJEeNvX9aWsPghWl3euzch/9G2oOE7mk9D0n7NvP0tIugi3qdv5Lk6bOY/kNJtptm+O5J7jv2/lFJ3jTX28Wfv5n+0hpbeww5TdrF5Lyx92evyTRpDdmvrcH4e2aaO6TW0TQfTkvcr9H4s12O6dbvLNfX+HzWaPyBpxlfx+t8u6/NdlyL8acu9xpNM8v9d31tjzXaT9bXNGuzLNN8xhpNszbzGOJvTePpPZhmgzsWx6dZy5i6XuLwhhJT13Iea33+XR/bfbbTrOl2n2ZdDR6HN6T4uL6WZcr062WaIf7WRxy+J8dif71Gx+NQx+I0+8qatp/XS1t4NtOsx2Nroz//TrPcg8fhjT0+ro9lmeYzNsq28FB/pS8kbNJKKb+XluD+Zdo34En7pm10t84ZU8b/dJLDa61L+/vfSUu4n9Tffybtbqmk9el3WdpdRPdN8qla6z+so3rfN+3nXEnyijrlwUOllGelfeO4NO2b6ZfUdsfsSUleXWu9ccr470pyXG39caWU8rAkz6u1vmFd1BfWtdIe/rhGvwRZ02mmjj+b6dd0mvHy0m+9qKs5Ad+TadZmHrNZjnUxzfqYx4Zar9lsl3sy/j2YZtb772zGXxfTzPY4Xh/TrM2yrO4z1vX4Q1kfyzp1mg3lWByfZn3E7XuwLBtETN1Q48T6OP/e07g9m2XZUGPqhrrdVzfPoaYZwqbSFh4fZ33F1LWcZoPY7zfUY2tDPP+ui7bwbJZlQ9xP1qZe62tZVvcZ63r8jc2C1Y8CG79a66dL+0nb69J+6rcs7WfIb6mTP19MkpRS7p/209WHlPYztlek/ZTq7WOjLau13trHvzMtGf9baT8xesLU+ZfWvcyXZ6je744+a2z8p6R9ebBz2k9Jb0jyhlLKoiSfr+2nvpunJeJ/s9Z6VynlV9L6/PrDtJ+GbVZKmT9avlLKgrS+xT5b2oOC3pT2M7HTV7HqYE6tzQl4TaeZOv5spl/TacbLV9f4XBfTrM08pns/xDTrYx4bar1ms13uyfj3YJpZ77+zGX9dTDPb43h9TLM2y7K6z1jX4w9lfSzr1Gk2lGNxfJr1Ebdnej+L+WwQMXVDjRPr4/x7T+P2TMNWVb6hxNQNdbuvbp5DTTOETaUtPD7O+oqpaznNBrHfb6jH1oZ4/l0XbeGZhs1UvqHsJ2tTr7WZ5t7cFh6KZDz3Jn+T1j/d36bt+69Iu5v9xCnj/WVaIvwvkxxRa/1kKeXAtK5rRqYeO7ukPRTkvml94q2gtoT4QbOpZP8m91tJLqy1XjtW9NLS7pTfoif3l6Yl07dI669u60ze9Z+0h2H9e1rXNknymrT+9v4syYtqrU8qpezShwEAAAAAA5KM597k1rSHVZQkNe2hFvNGhT3R/ZYkp9b2EJ23JflIKeVP+yjzxj7rm6WUd6TdgX6/tIfY/GbanfEH3MN67p/2kKPbSil3pT3YaHnag0fmpyXfP1xrPbGU8oYkn+6/xLox7QuGUV2PrbXe1O+I/6u0p8+fV0r5v0k+WEr5s7SE/vhyAQAAAAAD0Gc89xqllM2SvDbtgas/T3sy9NvqZDcuD06yfa313LFpHpjkurQk+yNqrSeMle2Q9gDX/dLuiP9p2pPFv1ZrvWTKvNeom5op074oyZ211g+swbI+I8niWuttpZTtkzym1vrlsfJt0p4Q/8AkL661vn62nw0AAAAArDnJeDZ5PRFeR31OlVKOTnJlrfUTM4x/eJIf1VrPHxv2+CS71FpPGxt2dlpy/7wkdyXZKa0rmDNrraeug3r/VZKnpN29Pj/JwiT/keQvx/vP6ne679fLa1p/+N+utf71lM87MMnWtdYvjA3bNcnv1VrfeU/rCwAAAADMTDc13BscmuR1pZTb0xLbNcnyUsoL0pLci5K8cyzRvmOS68c/oNZ6Tlp/81N9p9Z6W399RSnlnLRuZe6R/oDVX09y4PgDSEopn0jyiCTf7e93SrJvrfXwKdN/pJSyR6310rHB90+y3fh4tdYrkkjEA5ukUsoeaV++3tHf/1GSBbXW95dSyii+Tnl9YpI/rbXeNWcVB9hEiMMAc0cMhg2TZDybvFrrZ5N8dg0ne1sp5Ya05H3Skvb/XWt99dg4f5bkQ6WUhWn9ri9L8p0kf3EPq5xa65WllP9M8h+9P/hRQv7cJN8bG+/qUsp5pZR/T+sLv/R6fHVKIn7ktaWU540t17wk19dan3dP6wywAXpLklcm+XF/vyzJwlLKjklOLaWMYuHDSyl71VpvSfuC1s8GAdYNcRhg7ojBsAGSjIcpaq3vSvKuWYx3dtpd90PV45gkx8xivOOSHDeL8T6f5PProGoAG4v9kuyeyQuQpUmW1VqvSfv1UZKklPL+fvGRtAdmA7BuiMMAc0cMhg3QvLmuAADAulZKeWKS05M8f2xwzZQLjFLKYUm+sR6rBnCvIA4DzB0xGDZckvEAwCallLJ5ktenPWT79v4A66RdgIw/h+OAJL9Va33P2OQL0roIO3p91RdgUyMOA8wdMRg2bLqpAQA2GaWUXZK8N8kxtdabSyn/N8knSinHpLV7Sill97SLkx8kedWUj5iX5MnjD88GYPbEYYC5IwbDhs+d8TM4+OCDR98Y+vPnz9/G9Af3dnckeUWt9awkqbX+MskfJLko7QJkXpIrkvx1kkXTXGgsd/EBcI+IwwBzRwyGDZw742dw/fXXz3UVAIA1VGu9Lsl1U4b9IskvSikLkpRa6/JSyi+SPGyaj3j+NMMAmCVxGGDuiMGw4Vtvyfj+05gba63/0t8/LO2nM5unfSv3v2utt/ayJyT5x7Rv7L6V5MW11qW97GlJ3tA/9ou11tePzeNFSY5KUpKcWGt991jZG5Mc1j/zmFrraQMuLgCw4VmQyYdW1SQHl1K+ktZuSFobYVkp5V3aCQCDEIcB5o4YDBuAwZPxpZSdk5yW5CFJ/nKs6B1Jjqi1XlpKeXqSNyZ5TSllYZJjkzy11npDf2jEUUneXUrZLq0/qwNrrbeXUt5eSjm01vqFUsreSQ5JMtE//+OllK/WWr9TSjkkyba11olSyn2SfKGXuf0dAO49Tqq1Lk/aHUKllN0y2b1TrbUum7uqAdwriMMAc0cMhg3A4H3G11qvrLX+WpLXjIaVUh6d5Me11kv7OJ9JckAvPjjJ4lrrDf398UkO76+fk+SEWuvt/f2xSY7sr1+Q5LjaJXlrkiN62QuT/EOf1+1JTuifBQDcS4wuPsbe31VrXdr/XHwADEwcBpg7YjBsGObqAa57Jvn+lGE/K6VsM7Ws1npnkoXTTVdrvSbJDjN85iV9WJLsUGu9aoayu5VSXlRKWVJKWXLddddNLQYAAAAAgLUyV8n4ksmfwoyrM5SN3q9t2XRWKqu1vrfWOlFrndh+++1XMSkAAAAAAMzeXCXjL02y15Rh29Zab5paVkpZlGTpdNOVUnZK8tMZPnOvJD/or68vpew4QxkAAAAAAAxqTpLxtdZvJdmrlLJ7kpRSDk5yZi9enOSw3mVN0vqE/3h/fUqSo3qCPkmOTnJif31ykleXLsnLkpzUyz6Y3md9n/aPk3x0iGUDAAAAAICpFszhvI9O8uGeOL8y/UGstdbbSymvT7K4lLI0yYVJXt7LrimlHJ/krF62uNZ6ei+7oJRyZpJzkyxLe0r0Rb3sU6WU/Usp56R1T/P3Yw+IBQAAAACAQZVaV9Wt+r3XxMREXbJkyVxXA2BNlbmuAAAAAAArm6s+4wEAAAAA4F5DMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMDmNBlfStmtlPKFUsoZpZRzSynP6MOfUEo5p5RyXinlhFLKgrFpnlZKWdL/jpnyeS8qpZxfSrmglPLSKWVv7NNcUEp55vpZQgAAAAAAmPs749+c5Jha60FJDklybCllYZJjkzy11vq4JN9JclSSlFK2S/KqJAfWWieSbFFKObSX7d0/YyLJfkkOKqU8qpcdkmTbPs0BSV7SPwsAAAAAAAY318n4+Ul+0l/fmuTSJAcnWVxrvaEPPz7J4f31c5KcUGu9vb8/NsmR/fULkhxXuyRvTXJEL3thkn9Ikj7tCf2zVtDvrF9SSlly3XXXraNFBAAAAADg3m6uk/F/nuTtpZRXJflEkj9LsmeS749GqLXemWRhfzu17JokO0xXluSSPixJdqi1XjVD2d1qre+ttU7UWie23377e7JcAAAAAABwtwWrH2VQz0uyOMmHkpyZ5E1Jzk1Sp4w3el/Wsmw6qyoDAAAAAIB1Zs7ujC+lPCLJHrXWE2qtt9dalyQ5Je0Lgr3GxluUZGl/e+mUsp2S/HS6sv76B/319aWUHWcoAwAAAACAQc1lNzU/T/LoUsr9kqSUslmSZyU5I8lhpZRt+nhHJvl4f31KkqN6gj5Jjk5yYn99cpJXly7Jy5Kc1Ms+mOQ1fT6Lkvxxko8OtFwAAAAAALCCOeumptZ6ZSnl75MsLqXcmfbFwPtqrV8tpby+D1+a5MIkL+/TXFNKOT7JWb1sca319F52QSnlzLRubpYlOanWelEv+1QpZf9Syjlp3dP8/dgDYgEAAAAAYFClVl2nT2diYqIuWbJkrqsBsKbKXFcAAAAAgJXNZTc1AAAAAABwryAZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwOY0GV9KmVdK+YdSyn+VUr5aSnltH/6EUso5pZTzSiknlFIWjE3ztFLKkv53zJTPe1Ep5fxSygWllJdOpjDcXQAAIABJREFUKXtjn+aCUsoz188SAgAAAADA3N8Z/7okN9ZaD6y1PinJx0spC5Mcm+SptdbHJflOkqOSpJSyXZJXJTmw1jqRZItSyqG9bO8khySZSLJfkoNKKY/qZYck2bZPc0CSl/TPAgAAAACAwc1ZMr6UsijJ7yd582hYrfVHSQ5OsrjWekMffHySw/vr5yQ5odZ6e39/bJIj++sXJDmudknemuSIXvbCJP/Q53F7khP6ZwEAAAAAwODm8s74Byf5dpKXlVL+s//9dpI9k3x/NFKt9c4kC/vbqWXXJNlhurIkl/RhSbJDrfWqGcru1ru5WVJKWXLdddfdo4UDAAAAAICRuUzGb5nkKUmuqbX+ZpI/THJcr1OdMu7ofVnLsumsVFZrfW+tdaLWOrH99tuvfgkAAAAAAGAW5jIZ/8MkF9daT02SWuu1Sc5KS6rvNRqpd2eztL+9dErZTkl+Ol1Zf/2D/vr6UsqOM5QBAAAAAMCg5iwZX2u9Kck1pZSDk6SUsmWSxyZ5T5LDSinb9FGPTPLx/vqUJEf1BH2SHJ3kxP765CSvLl2SlyU5qZd9MMlr+nwWJfnjJB8datkAAAAAAGDcgjme/yuSvLOU8rr+/v+vtd5SSnl9ksWllKVJLkzy8qT1EV9KOT7JWb1sca319F52QSnlzCTnJlmW5KRa60W97FOllP1LKeekdU/z92MPiAUAAAAAgEGVWlfVrfq918TERF2yZMlcVwNgTZW5rgAAAAAAK5vLPuMBAAAAAOBeQTIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABrbGyfhSyuFDVAQAAAAAADZVs07Gl1L+ppQyP8krBqwPAAAAAABsctbkzvida63LktwxVGUAAAAAAGBTNKtkfO+a5gv97V3DVQcAAAAAADY9C1Y3QinljUl+Vmt9Zx+0rJTy7LRE/qIk82qt7x+wjgAAAAAAsFFbZTK+9xG/VZLlU4ruSlKS3Jlk6TBVAwAAAACATcMqk/G9j/hXl1KOLKU8u9b6sV702VqrJDwAAAAAAMzCrPqMr7WelOQpY4MWDVMdAAAAAADY9MwqGd99t5SyRX8tGQ8AAAAAALO02ge4jtRa354kpZR3J7ltsBoBAAAAAMAmZtbJ+JFa6+IhKgIAAAAAAJuq1SbjSyl/nmS6h7UuSPKuJG+ttb54XVcMAAAAAAA2FbO5M/6cJHcmWd7fb57kLUlemZak32OYqgEAAAAAwKZhtQ9wrbV+NcnVSS6vtZ6T5HFJbqi1/let9c60RD0AAAAAADCD2XRTc3SS/ZLsXEp5U5Lbk7xsbJQ6UN0AAAAAAGCTMJtuap5Wa/2tUspOSd6Z5IdJ9i2lbFFrvXCWnwEAAAAAAPdaq+2mJknp/2/rrzdPsrD/AQAAAAAAqzGbZPy5pZS/SfLeJCcluabW+pEkTy6lfC7JbqWUsspPAAAAAACAe7HVdjFTa31dKeU3kpxaa/3vUspj+/Djkhw3dAUBAAAAAGBjN6v+3mutXxt7++aB6gIAAAAAAJuk1SbjSymvS7J8bNC8Usq8JEtrrW8upfxjrfWVg9UQAAAAAAA2crO5M/6cJMuSLO3/S1pf88t6+d7DVA0AAAAAADYNs+kz/ivroyIAAAAAALCpmjebkUopE6WUfyulfK6Uss/QlQIAAAAAgE3JrB7gmuTvkjyzj39KkkPGyuq6rhQAAAAAAGxKZpuMX1hr/UWSlFIW9v87JtksyX1LKfNqrctX9QEAAAAAAHBvNdtk/F2llG3SurVZ2oe9IMnuSb47RMUAAAAAAGBTMdtk/KuSnJB2J/xrk6TWesxQlQIAAAAAgE3JrJLxtdaLkxw+cF0AAAAAAGCTNG+uKwAAAAAAAJs6yXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAPbIJLxpZRfL6VcOfb+YaWUr5ZSzi2lnFZK2XKs7AmllHNKKeeVUk4opSwYK3taKWVJ/ztmyjxeVEo5v5RyQSnlpetnyQAAAAAAYANIxpdStk7y8iRXjw1+R5Ijaq37Jzk5yRv7uAuTHJvkqbXWxyX5TpKjetl2SV6V5MBa60SSLUoph/ayvZMckmQiyX5JDiqlPGo9LB4AAAAAAMx9Mj7JcUlen2RpkpRSHp3kx7XWS5Ok1vqZJAf0cQ9OsrjWekN/f3ySw/vr5yQ5odZ6e39/bJIj++sXJDmudknemuSI4RYJAAAAAAAmzWkyvpTy3CTn11ovGRu8Z5LvTxn1Z6WUbaaW1VrvTLJwuulqrdck2WGGz7ykD5tanxeNurm57rrr1m6hAAAAAABgijlLxpdSdktySK31PVOLktRpJqkzlI3er23Z5IBa31trnai1Tmy//farWQIAAAAAAJidubwz/veS7FVKOaOUckaSvfv/y5PsNWXcbWutNyW5dLyslLIovXubacp2SvLT6cr66x+ssyUBAAAAAIBVmLNkfK31n2qtj6+1HlRrPSjJRf31+WlJ+t2TpJRycJIz+2SLkxzWu6xJWp/wH++vT0lyVE/QJ8nRSU7sr09O8urSJXlZkpOGXD4AAAAAABhZMNcVmMHRST7cE+dXpj+ItdZ6eynl9UkWl1KWJrkwyct72TWllOOTnNXLFtdaT+9lF5RSzkxybpJlSU6qtV603pcKAAAAAIB7pVLrdN2zMzExUZcsWTLX1QBYU2WuKwAAAADAyuayz3gAAAAAALhXkIwHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADAwyXgAAAAAABiYZDwAAAAAAAxMMh4AAAAAAAYmGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGJhkPAAAAAAADEwyHgAAAAAABiYZDwAAAAAAA5OMBwAAAACAgUnGAwAAAADAwCTjAQAAAABgYJLxAAAAAAAwMMl4AAAAAAAYmGQ8AAAAAAAMTDIeAAAAAAAGJhkPAAAAAAADk4wHAAAAAICBScYDAAAAAMDAJOMBAAAAAGBgkvEAAAAAADCwOUvGl1IOKKV8rpTylVLK10spv9OHP6yU8tVSyrmllNNKKVuOTfOEUso5pZTzSiknlFIWjJU9rZSypP8dM2VeLyqlnF9KuaCU8tL1t5QAAAAAADC3d8bPT/LcWuuTkxya5Lg+/B1Jjqi17p/k5CRvTJJSysIkxyZ5aq31cUm+k+SoXrZdklclObDWOpFki1LKob1s7ySHJJlIsl+Sg0opj1o/iwgAAAAAAHOYjK+1nllrvaW/vSnJbaWURyf5ca310j7OZ5Ic0Mc5OMniWusN/f3xSQ7vr5+T5IRa6+39/bFJjuyvX5DkuNoleWuSI4ZaLgAAAAAAmGrO+4wvpcxL8pYkJybZM8n3p4zys1LKNlPLaq13JlnY304tuybJDtOVJbmkD5uuLi8adXVz3XXXrfUyAQAAAADAuDlNxpdSHpjkI0m+Vmt9b5KSpE4zap2hbPR+bctWHFjre2utE7XWie233352CwEAAAAAAKsxlw9w3SPJ+5O8pndHkySXJtlryqjb1lpvmlpWSlmUZOl005VSdkry0xk+c68kP1hHiwEAAAAAAKs1l3fG/1WSI2utPxkNqLV+K8lepZTdk6SUcnCSM3vx4iSH9S5rktYn/Mf761OSHNUT9ElydFq3N0l7COyrS5fkZUlOGmaRAAAAAABgZQvmcN4HJPlYy4/f7YVpifQP98T5lekPYq213l5KeX2SxaWUpUkuTPLyXnZNKeX4JGf1ssW11tN72QWllDOTnJtkWZKTaq0XrZclBAAAAACAJKXWabtPv9ebmJioS5YsmetqAKypsvpRAAAAAFjf5vQBrgAAAAAAcG8gGQ8AAAAAAAOTjAcAAAAAgIFJxgMAAAAAwMAk4wEAAAAAYGCS8QAAAAAAMDDJeAAAAAAAGNiCua4A98zSZcvzyQuuzMeWXJGrb7otO91/8zx7Ytc8c79dMn9emevqAQAAAAAQyfiN2tJly/Oyf/1mFn/3mruHXXXz7Tn/8hvzn9+7Nu967r5ZMN+PHwAAAAAA5ppM7UbskxdcuUIiftzi716TT37zyvVcIwAAAAAApuPO+I3Yx5Zcscryfznjh9n/Vx6Q3R6wReb1Lmt0awMAAAAAsP5Jxm/Err7ptlWWX3r9L3LQW87IfRfNzyN22ioP3/F++dYVN+U7V/387nF0awMAAAAAMDzJ+I3YTvffPFfdfPtqx/vFncuy5PIbs+TyG2ccZ9StzbMmdl2XVWRDsWxpcuFHk29+KLn5ymTrnZN9/yjZ57nJvPlzXTsAAAAA2ORJxm/EnrHPzjl/FQn239vnQbnPwvm56Oqf53vX3JI7ly5f5ed9/LwrJOM3RcuWJp/4k+Tiz00O+/lPkivOSS75YnL4B5L5QgEAAAAADEkGbiN2x7KZk+sHP3LHvPVZ+9zdD/zSZcvzhDd9OdfdeueM01y1mm5v2Ehd+NEVE/HjLv5c8u1Tkn2fv37rBAAAAAD3MpLxG6m7li3PSf/1oyTJ/FLyyAdtletvvSMPuv/medbjds0zH7viA1kXzJ+X3ba97yqT8Q+6/+aD15s58M0Prbr8K29KttsredC+yfyFk8N1bQMAAAAA64xk/Ebq3/776lzZ72R/xmN3zlv+4FdXO82zJ3ZdZbc2ez9oq3VWPzYgN1+56vKf/yQ58SnJoi2T3Q9IHvykZPcnJme+Jfne51ccT9c2AAAAALBW5s11BVhztdb8y1cvvfv9Ub+xx6yme+Z+u+TgR+44Y/knL7gyl1536z2uHxuQWpOy+tGSJHfemlzy78m/vz454aAVE/HjRl3bAAAAAACzJhm/EfraJdfn4qt/niT57Uc8MA/d4X6zmm7+vJJ3PXffvPnwx2Ri923yoK3vk4ndt8mBe26XJLn1jqU56kPn5xd3LB2s7qxHy5Ymn39lcvNPVj3e/kclj//T5IF7z/6zL1hN1zcAAAAAwAr0M7ERes9Xf3j366Oe9JA1mnbB/Hl51sSuedbErncPu2vZ8jzvfefk3B/9LJdce2v+/LRv513P2TelzPaWajY4d9yafOLI1qVMknZ7fF15vEcclhz8psk+4G+9NvnR15LPviK56xczf/7qEvwAAAAAwArcGb+R+fZPbsrXf3hDkuSxu90/E7tvc48/c+H8eXnXc/fNDlttliT5wrevzon94bBshG69NvnAoZOJ+EX3S573ieTp7052/bVkq13a/6e/O/mDD674MNYtH5g8+vBkx0eteh5b7zJc/QEAAABgE+TO+I3Me8b6iv/TJz1knd29/sD73Sf//LzH5tnv+UaWLq950+nfyyMftHWe8JBt18nns55cf0ny4WcmN13e3t/vQcnzTp1Mru/7/Nl9zr5/1B7WOpOHPuWe1RMAAAAA7mXcGb8Ruez6X+T071ydJNlj+/vmtx+xwzr9/P12f0D+8ndbv+HLlte8/KMX5Oqbb1un82BAP/5GcuJTJhPxD9w7eeF/rP4u9+ns89zWhc1MlpykqxoAAAAAWAOS8RuRE868NMt7t99H/cYemTdv3ffp/sdP2D3P2HfnJMn1t96Zl3zkgtyxdNk6nw/30LKl7SGqJ/6v5G2PTN65X+ua5rYbW/mDfyM5cnGy9c5r9/nz5ieHf2DFrm122T/Z/uGt/OdXJh96RvKLG9bJ4gAAAADApq7UOs1DHcnExERdsmTJXFfjbtfdckeeeOx/5s6ly/PA+22WM1/75Gy2YP7qJ1wLt925LL9//Ndz8dU/T5L80a/tnr/9vbW4u5phLFuafOJPkos/N335o/8gefo/JwsWrft533FL8sGnJVdd0N7vvF/yx59NNtty3c+LteXJywAAAAAbIHfGbyQ++PXLcufS5UmSIw988GCJ+CTZfNH8/MvzH5ut7tMeKfChb1ye087XJckG48KPzpyIT5IHP2mYRHySbNYfBrvtQ9v7K89PPvb8ZOkdw8wPAAAAADYRkvEbgV/csTQnn31ZkmTLzRbkuY/fbfB57r7tffOOP9z37vevPe3bOeQdX8sBb/pynnn81/Px867IsuV+VTEnzv/Aqsu/+eFh53/fbZM/+lSyVe8C59KvJJ98UbJcd0YAAAAAMBPJ+I3AKeddkZ/fvjRJ8rzH75at7rNwvcz3yQ9/YF7+m3smSZYur7n46lty1c235/zLb8yfn/btvPQjF2Tpsv/X3n3HSVXd/x9/nZ3dhaXsLk16NxaQjoooiBoNxmDDiho1MX7zjUbUJEb9phlLEs1PUzT2Eo2KYG9oJIpibCBIFRDpvbMLy8LuzPn98TnDzu7ObIOBFd7Px2MesHfOuffcMvPH+5753NheGYsAxQXw4T34eImYFPyWZekfS35HC+Rzmtvfc16GN34GKnslIiIiIiIiIiKSVOa+HoBUrSQa49FJCwHIijh+cFzX3VthtNTKnEx7CrassAd89rsE+o6yh3ZW0D4/J+Wq3pq9mhenreC8gR13b0wHuNJojBenruC5KctYtXk7bfNzOH9gR0YO6EAkw0HRRvj0AXsVb6m2IPj6yEG0qu026qLVoVay5p8joGQbfP44NG4JJ/6qbusTERERERERERHZjymMr+dem76SlVuKATirX3ta5zas+8qSPfizYDks+xS+ehvOeQIi5S+JcdXUih/z2VKF8buhNBrjmqen0HjeOG6KTKSt28CqVS147uVhfPrFMG5sMZFmc/5FZmnRrj4lPkKWi+I9uIQcPf73Q4XHMmDWarq3akynFo2IOMfVz0zjrdmrd7WN/8Lh3blruXdUPzIjdfyRTIcBcMHT8PS5ECuBD+6CjYtgy7Ia3ewRERERERERERE5UDivshJJDRw40E+ZMmWfjsF7z/C/TGLemkIAJlw/lIMPalr3FU59Cl69OvX7Z9wH/S4ut2jwH/6z62ZAMhkORp90CBce3ZGDmu7GjYL9SG1moY/5eCF5b17JqZHJldYT9Y6IK/t8bvUNeSp6Mo+XDueWrCeS9hkfPZKrSkYTCxWoMhw0a5TNhm07U473znN67/4NldkvwbjLgRTfJ4ePSHqzR9Kijj91EBERERERERGRdFIyVo9NnLduVxB/co/WuxfEg5WmqcrUpyqF8W3zc6oM42Me7pkwn3vf+4pTj2jLpYM707t9Hi9NW7lnS6IkUdvSK3Up1VKXbaSahf727NVcfmwX5q/ZypxVBXy5qoCea17lzqzJlWa5A7uC+M2+MY+VnsoT0VMooAkZDq4uuYazY5M4LzKRdm4DK30LxkaH8UJ06K4gHuz8VBXEA4ydvGz3w/ieZ8G8t2DGmOTvf/mavVfh+hIRERERERERETlQKIyvxx54/+td///x8d12f4VbVlT9/sZFlRadP7Ajny/ZlLJLVsRREvWURD2vTl/Jq9NXktswc9cDZ6FmJVH2ZOidbDu1bV/XPuOmLOed2Ss4NzKJ8+NlZ3wLnosO44W5Q/nP3LVkEKO7W0mfjK/5eeZzQOUgPm65b8XEE1+mV6tWjMnPoX2zHN6etZobXpjBuOgwxkWHVerzoyFd6di8EQvXbePrdVv5aMF6olX8AGbl5u2p36yNTZWvn3Im3Q1dhkB+p7IdruUzDOrcR0REREREREREZB9TmZoU9nWZmmlLN3HWPz6ysXRuxvP/O3j3Vug9/LUPbF5SdbtDT4OhP4f2/QGIxjxXPT21XCAdN7xnG+44uxcvTl3OU58sYcmGokptKrr5u4dx6eAuNMgsC02Thd6J24iH3t57CopL2bB1B+OmLOf+hJsVFX2nZ2t6d8gHIMM5Zi7fzJuzKq8/7rLBXTi5R2saZmXQIDNCw6wMJsxZy11vzebsZMF6dCgn92xLyyYNWFOwgzUFxawpKGZDYRH3Zv0taQmZhbE2rCWfI9ximrjUvzZItC6jFa1+s6DcsurOyX0X9S93A2Pk/R9VeUOlZZNsJt1wIjnZuxlk393TnkFQndwO0HkwdDoGvnwVFr5XuU2qsjbJnntQXZ8Dj8rUiIiIiIiIiIjUQwrjU9gXYXzi7PDZK7ZQXBoD4MFLBvCdnm12Y8U74I2fVV+mJtHB34ahv4BOgygt2cm01+6n6ZdjyC9Zy+asgyg8/AL6n34VkUwLPmMxz/vz1zF6zLRys+JTadIgk2aNs2jeuAE7SqLMXV2Ysm37/Bxi3rNh6052RmM134cKIkRTBuuJpV0S26cK1sdHj+TqkmuIEtnVtp1bz/cj7/CjzDeTlp2pi3XN+tFq9MRKy0ujMV6ctoKxk5excvN22uXncN6RHRnZv/IvCcZOXsYNL8yocjvfOqgJfx/Vj8Pa5NZ9sI+eYg8D3lMG/S8c+l3IzIHMBpCVA3PfhAm/Sd0nyXMPDkAK40VERERERERE6iGF8Sns7TC+qtnh3+nRmvsu6p+0vEu1CtfA2EsSQlJH0odstusPJUWwbm755Z2PA18KSz+p3CfJTOTqHviaSm2D8tr2qU2wHnduZCJ3ZT1UKViP//1htCelZNLZraZDxnqyiFa7nx5wbfvY8W4/gNiWFWS8/4eU24idfi8Z/S+pdr1VqWomfbzMEECDzAx+9b0eXHx0J1xd7iRU94Dg3udDtASWfARbU/9KYbd0HAQ/fDs96/7mUBgvIiIiIiIiIlIPKYxPYW+H8dXNXr7znN61f8jmymkw5iIoCLXic5rByEehcJUFp1uWQ14H6H8J9LkQcDDvDfjgLlg1vWbbqDATeeT9H/HFkvUpQ/LmTRrSv1MzNm7bycainWzctpPCouIqg/JrSq+h20H5tGiSTcsmDWjRJJsJs1Zwc9GdKfv8vdnN3PG9bkSKNxAp3sT8CY9x5s43UobeX7vONMxvjYvuxMVKyIjuJG/7EhpS9cNPa2tbg9Y0vml+2YJYlNjYS8mYW7nsij9sBO68f+6ROuipZtIfd3BLfjZ2Oh8v3LCr7fCebfjjyF7kN8qu3UZiURh3aeoSMueGffEeNi6Eh0+C4tTlc+qkaXv42Zw9u85vHoXxIiIiIiIiIiL1kML4FPZ2GF9dXe9a142f+Ty8chWUhlnqrQ6HC5+B5jV4EKz3sGACvH8nLP+s6ra5HWDYjZDbFpq24+WvSmjw9vWcGql87MZHj2TriIc596iu5Zbf9+dfc9XWv6UMyt/MGcF3Tz0DSrdDSTGUFrN8xnt0WPNu6hnlZJBB3Uva1JyD/I52XJt3w381AbdlacrWvuMgXMWZ29FSmDEm+Q2SvfBA0mjM88D7X3P3O/OJxuz7oF1eQ+4+rw9LN26v8UN1a70v1ZW1ye8CR10Rznk49zPHwba1qftkNoQRf4UjzjmQa8crjBcRERERERERqYcUxqewt8P4QXdMYHXBjpTvt8tryEc3nVT9imJRePdW+PCesmWHngZnPwgNmtZuUN7DXQdD0fra9YOUIbnP64DLbAg7i6BkG5Rsh+ienX1eZ5EGEMmGzGyIZOOLNuKiqc+Jb9MHd8U7Vs88LpRq8ZRPRHf9XY9rmn++ZCPXPPsFKzZvr7Jd4kN1d0t1ZW2SHavq+sQ17w7H33CghvIK40VERERERERE6qEDLqWqjz6Yv46N20qqbNMuPyf5G9FSmP6sPZx18zKr+168uez9oTfAsJsgow7BqXPQonudwviKJcfjf7sty2s/jrqINIAep0OjFvb64mnYtDh1+w5HwxX/LrfIVROsu6OvLB/EA/QdBV+9jatQqsWBlWrpc2GddyndBnRuzpujh3DTizN4c2bqmu5vzV7Ni9NW1L5sUkXhWKUsa5PsWFXVJ7cdFKwCPGz8Gl76H/t1x/E3QI8zbVb9tKdgywrIaw/9LrH17YVfH4iIiIiIiIiIiGhmfAp7Y2b85qKd3PbGlzz/efUBddKa8dFSeP6y5MGki8DZD0Ovkbs3yOpmIh93PbTpZXXoC1bC5EetpEgqLgPyO0N2Y8hqBFk5Vp8+8QZCRc26wQk3WQmSrBz7d/wvYe3s1H0qPsizLrOwa1oDvaJ9XHZmd3nvOf6uiSzdWJSyTe/2ebz60+MqLS+Nxnhx6oqal7apy7Gqqs/6+RbAz36Jcg8qzm4MO7dVXleShxDvBzQzXkRERERERESkHlIYn0K6w/jxM1fx61dms35rWRmUNrkNWV1QXKnt8J5tuO+i/pXDzLoEzLVV20C6ujrgFUNySE+5kop9DtBgva4G/+E/rNxS+VpM1Ca3IX075tO3Uz59O+bTo21Tbnh+Jm/NrjyrPlVpm1qH9zW19svkoXwy9bh0UB0pjBcRERERERERqYcUxqeQrjB+bUExv35lFm/PXrNrWevcBtx2Zi9OOLQVL05bwdjJy1i5eTvt8nM478iOjOyfJJjcuQ3+MQg2p35YaNLguy5qE0jvrRnodelzgAbrdVHdA4WTcVQde1f8dUdpNMbVz0yrVXhfa2u/hMe/C9s3pm6zpz4n9YfCeBERERERERGRekhhfAq7G8ZXnPHbJq8h3VtaPqWqAAAgAElEQVQ14e3ZqykoLt3VbtTRnbjx1MPIbZhVsxVv3wyTH4ZP7oeiDVW3ze0A11dRyiUd9uYMdIXraTN28jJueGFGyvf7dMhjw7adLN9U9cNeE+VkRTi6W3Pa5DakdW5Dlm8q4oWpK1K2T1qaiTrMpr+7JxRUUQpqX3xO0kthvIiIiIiIiIhIPaQwPoXdCeOrmvEb16VFI/5wdm+O6d6iZivduhY++Qd89gjsLKxZn30141ch+TdeNOa56umpKWetx8smrSvcwfRlm/li2WYe+mAhO6OxPTaGLi0a8edz+9C1ZWOaN87GOVe32fTVlU7K6wSjp9ftIcf1k8J4EREREREREZF6SGF8CrsTxlc3q/j4Q1rxwMUDyMlOUkZl+rMw7SnYsgLy2sOhp9ms3qlPQmlCDe/MHOg0CBa+l3og+18tbNmLSqOxmpdNovrSNlkRR2nMU5evnNyGmXRt1YSIg6lLUz/sN+ls+upKJwF0HQpnPmCfuW8+hfEiIiIiIiIiIvVQ5r4ewP7ouSnLqnx/247S5EH885eVL+9SsLzyjN4GeXD0lXD0jyGnWdUlYfpcWLcdEAEyIxmcN7Bj0lIxyZw/sGOVYfztZ/XirH7tWVe4g9UFxfx87HQWrt9Wo3UXFJcyfVnqED5u7ORllcfbdxR89Xbyz4nLAB+DRR/A/YPh9L9BjzNqNCYREREREREREZHa2G/qMtQXawuLmbNyS5VtVm5OUmd7+rPJw8K47CZw0m/huplw4q+gcUsr+XLOEzYDvuMgq33dcZD9nao2u0iajBzQgeE92yR9b3jPNozs34GsSAbt8nPo36kZPz6+e5Xru+Cojow+6Vuc3qcdvdrn0aRB9fcO56wq4NOFG4jFEqbfV/U5ufJ9aHW4tSveDGO/D69cDTu21nS3RUREREREREREakRlalKobZma0miMJz9ewj3vzKdwR2mVbQd2bsbz/zu4bMH6r+CfI6BwVepO7Y+EH02o8XhE9oXalLapaV36OO89Z9z3X2Ysr/pmF0DbvIaM6NOO0/u0o2e7XKIxn/qhr9FieOe38NmDZSto3h16ng2LPygrGdXvEptlX/9vcqlMjYiIiIiIiIhIPaQwPoXahPGTF2/k1y/PYu7qsgerRohydmQS50cm0tZtYJVvwXPRYbwQHcofz+nLeUfkwqwX4YtnYPln1W8ktwNcP7uuuyNSL9W2Ln11z2NIplvLxmQ4x4J1lWe7l3vo6/x/wys/gW3rUq/s8BE2yz5Sryt8KYwXEREREREREamHFManUDGML43GKs2s/e4RbZi9qoAXp67Y1S47ksGPjuvIiTNvZEDRpErr/arhEXTvfigZ894o/0DW6nQcBD98e7f2SeSbrqrZ9Kf0aM1FR3fitRmreHvW6mp/oRJX7qGvW9fBk2fA2ipufNX/ByMrjBcRERERERERqYcUxqeQGMaXRmNc8/QUGs8bl3SmeyyU3h/yrZbccnpPui17CV69Gk/5VKzi37t0HQr5XWDak6kHVP8DQJG9oiaz6YtLokyct5ZXp69k/MzVVPUt17ppA2498wiO7NKcZo2z4ZGTq/61SuNW8J07oMsQyG1bNq6SnUx77X6afjmG/JK1bM46iMLDL6D/6VcRyaw8k7627WvRR2G8iIiIiIiIiEg9dMCE8c651sATQHOgALjUe78yVfvEMH7cp4to8vqPODUyuVK78dEj+X3kp/zplJYMabUdt2UpvH9n1fXfAZp1gb4XQZ8LIL8TxKIw7tLkD3E9fIQeyCpSR4PumMDqgh01antI6yaMLbqC/JK1NVt5y0Og6/FEOw1m1vgH6VP0SaUmUxsPofe1L5KZlb1rWWnJTmb85Wz6b6v865lk7WvZR2G8iIiIiIiIiEg9dCCF8f8C/u69/9Q5NxC43ns/KlX7xDD+vrt/y1UFf8F7cAkxV8W/a6xRK/j5fMjIKL88WgozxsDUp2DLcsjrAP0vgT4XKogXqaOR93/E50s21bj989m/Y2DG/DptK9V3xJSm3ybafuCu5ZEVUxhYOCFl+8lNTybWYSCJIssnV9nnsz63ctRZ14DCeBERERERERGReqleP4VwT3HO5QMtvPefAnjvpzjn8pxz+d77zdX1H1I4Pqyn4nrrOKAW3SsH8WAPhex3scrRiOxB5w/sWGUY/5Nh3WnSMJPJizYyZfEmnisdxsCM+SlD7/9Xcg5byWFwxhyOzphDrtu+q02q74iBhRNg7oRK207V/sjCd+DLd5KON1WfpnOeBQvjRURERERERESkHjogwnigK7CgwrKFYfm0+ALn3JXAlQCdOnXa1bCt20hVRad3kE2Doy63cjP5nWD1LPjgT6k79L+k9nsgInUyckAH3p27NulDX4f3bMPPTjnUas0PswfEDr7dM37ntEplqZyzslT3Rc8kRgaPR08lQpQj3CKezP4jea5oL+1Rcs1qWlpHRERERERERET2iQMljHckj9PLLfPePwQ8BFamZlfnvPawaV3KlRc060mr795ZtuCw02DdnNT13/tcWLvRi0idRTIc947qV+1DX+NtO7TM5eol13B2bBLnRSbSzm1gpW/B2PDA5iPaN+Pvo/pREvWUxmKURo9n+WPPkhf9MuUYFmd0ZMvQW3b9nffBb+gSW15l+4Ihvyu3LHfSb6vssynrINrU4HiIiIiIiIiIiMi+caCE8YuBgyss6xaWV6v5cT+E136asmxFiyE/LN8hIwLnPKH67yL1RGYkg/MGduS8gR2rbRsvazMuOoxx0WGV3r/4mM50btG43LLJPS+EGb9J+R2xtteVHDVsZFn7jcvpUl37E84pv41NK6rsU9hDN/lEREREREREROqzJIXL9z/e+41AkXOuP4BzrjewoSb14gEy+l1E7LARSWs1+8NGkNE3yXNg4/Xff/g2XD/b/u13sYJ4kXpu5IAODO+ZfI758J5tGNm/Q6Xl/U+/iqmNhyT9jpjaeAgDRvxkt9rXtY+IiIiIiIiIiNQfzvsqiqHvR5xzHYBHgSbAFuBy7/2aVO0HDhzop0yZUrYgWqqZ7iIHiNJorEZlbcr1KdnJ1NcfoOmcZ2lWspZNWQdR2ONCBoz4CZHMyj9Cqm37WvSp66OlRUREREREREQkjQ6YML62KoXxIiLfDArjRURERERERETqoQOiTI2IiIiIiIiIiIiIyL6kMF5EREREREREREREJM0UxouIiIiIiIiIiIiIpJnCeBERERERERERERGRNFMYLyIiIiIiIiIiIiKSZgrjRURERERERERERETSTGG8iIiIiIiIiIiIiEiaKYwXEREREREREREREUkzhfEiIiIiIiIiIiIiImnmvPf7egz1knNuHbAkxdstgfW1WF1t2++tPvvLNurS50Ae14G873Xp803bxnrv/fBarktERERERERERNJMYXwdOOemeO8Hpqv93uqzv2xD46p/29C46t82RERERERERERk31KZGhERERERERERERGRNFMYLyIiIiIiIiIiIiKSZgrj6+ahNLffW332l23Upc+BPK4Ded/r0md/2YaIiIiIiIiIiOxDqhkvIiIiIiIiIiIiIpJmmhkvIiIiIiIiIiIiIpJmCuNFRERERERERERERNJMYbyIiIiIiIiIiIiISJpl7usB7GnOudbAE0BzoAC41Hu/MuH9i4Cfeu8HJenTHlgDXIrdqJgJzAe2h6a3e+/fqdDnW0ArYBEwGTumjYBeQEdgeVhnVlhPUyAHKAUiQNvQZybggX7Ah2Ed2WFZLhADXPj3IGBu6N8BaA18HrbRE9gctrUTKAEWAycBXwCrgKXA5cACYAXwA+BWoAFwVBhPS2Ah0BDYEPZlYxjDc977e51z9wBfAz8CvgfcDvwe+EUYy+lhW4967+9zzt0UtvF74C1gAvDTMIYdYZ+PAz4DjvbeF4dtzMMeVjkBODiMOweYBZwALAvna3PYr1+H8zYCuBG4GfgVcD5wfTiXC4Envfd/rzCu/wBdw7FfFo5jvve+r3PuYWCD9/7GCuN6M5yngnA+W4Z1fEqZc8M44uO6G3gemB76NgT6A/8Nx/ha4NQwrj8AU4AbgKeA2di1Gj/vhGP3JNA9jOtxYCp2DRRi11tB6NcAu25Kw3F4NPSdHo7h4eE4fB/4EzASWI1db0VAFJgTttUDuxYXAWOAL4Fnwv40CdtvBLQAlmCfhcZhXdvDefsl8E44Lj8L/bph192OcCyjwNpwHCqe8xuAh8O+5QNfAZ3Den8Ytn0w8AHQDHgJGAIcEt6bE/brVuDisP1/hv4Lwjjuoew7ohi7viNhfYvC+Pphn7NZ2DU8AniQ8t8Rc4BB2GcyJ+zDIcCMsC+Xe+83OucuxK6BSBjDVuCPQB4wHjvvLQnXMIBz7hjgLwl9Lvbel4b33vPen5B4DZPAOdcQaOe9X5iw7D3v/QmIiIiIiIiIiMie4b3fr17Av7AgF2Ag8EzCe52Bx4BPkvXBgr6BWJjYBQu0ulWxncFY0HlS6DMaC7tHA5cBPwa6VNhG89DneaA38AkWYGaE9RUDPUOfZ4BzgElhbGOwgLsU+GFo0w0oSNjGC8ApWPA6BgvyC7AgNCOMazUW4oGFrUux0HQeFqJeE/6Ob+NhYF34fwbwdBhzFAvSi7GQezIWKhaE/z+JBcuvYUHvOixQ/QILYl8EHgn70AULRGeF9XULx6YEuDehz9L4OQHuAhYlnJOrgJXh+CzDAszTsbD4OOCVMK4JWGD5eTiuFce1DAvZ49uZAJwZju29ScZVFPZ5dGh/GbAgYVztw3YrjmtFOJ6RsJ4VoX3XMLb12PU0K5yPJdi1kJF43kOfJxPaxf9fEsaWF9pcG/4eit0U+j/sBkRxaB8FbsNuDJ0JvAH8PaxvKBZGzycE0GGdX2BhdTEwHDg+nCOHBd4vYcFzC+zaGIzd1Plb6H8DsC1s+ySgaVi+ILT/DvAudtOnW5JzPgq7OfFlaHsUdnNkSTin3YABYZ/uCsd6HfYZ+Q4Wjj8DXBLOx7pwLodj1+wLWAge//x+jt3keAf7LpkN3BLG8iF2IyB+DT9D5e+I+8M24tfW88CMhH25Ewv6C8Mxi39HfJiwL++F9hHgYyyUz8JuNiT2uSrhOCVew39M8n3WG3iswrIJ+/r7XC+99NJLL7300ksvvfTSSy+99NJrf3rtV2VqnHP5QAvv/acA3vspQJ5zLt85l4EFXb9I1gcL7g7DgrQ8bIatx0LCpNvBZgVnY7OZ84CXsaDy5Xhb7/3iCuP6MRaY5mABcRHQynsfC+Nb4b2fHfo0w4LOw7CZ1E2xcC+KzboFm027LbRvgwW136NsFv4hWPjePGxjCmWz8sFm6z6OhYcfeu+LseCwGPhuaBMPjAnrGI2FnSXYrO1PsFnBsTCuWcCrQNR777EZ8xOw4D8Xmxk8L7TfGfZnNVDsvT8irG8lcGF4b673vi8WhGYDUedcIyzkXpZwar7AZtyXhm09j/1SoAk2y/kHYX07wrHaDBxbYVyzKPvlQuK5PxcL37cmGdcsbLb5ywnt47+mwHu/AgudN4ZjER9Xg3A8R4ZjPDe0X+S9H4DdqMgMx2Rl2Pdtoc9mLMTGOdcSO9c/Dcs/Cn22ADu891vCUKaGYz7Te1+IXVs+vHchNmu9M5DtvX8Zm6n/SjiPHwB/wwLh7cBa55zDbt78Oxx7sF8fzPBmEhbktwtj3Y5dNw77dQdhnVPDuP/rvS90znUN56c49M0OfbKofM43YJ+9jsD73vvPQpvGYd8Xeu8/x24QDMY+Dw54H7ux0An7nHUI2xmH/VKgGRZy34ud2/h3RA/sPB+E/TJgEnByGEshsDoc+ykk/46YE85V/BreGfadcGyysV/mZIdjNgD7jugazsPn4W/CMSoK2x0OvOW935DQ5xzKi1/DyQzAzn2iHSnaioiIiIiIiIhIHexXYTwWWC2osGxhWP5L4PEQViXrMwqb6Xpe6OOwgPYe59x7zrknQuiZ2OcsLGSO97kAC6hHY+VRfuecexcr+dE83BA4DSthUQycjc0ajoQAMh/Y6Jx7jLJyKZdiQWyjsI3BWMg6xDl3LVZOY0Zo2wSbeTsMCxvj5TRaAQ2ccxEsfMwFjnXO/R4LFFtjgWC2c64xFkISloPN/s10zjULAeIN2EzaSViIlxHG1yq0bx7GHAt/f4WVCRkEfIQFti2w0DszvB7BwtFEoxK2ARaYRrCAeBEW7hYAOOfaA7dgs8kT+wzDgs13w7nvChyDBegveO93JIzrPKzMTAYWbj7rnHsCC1R/QVlwXXFcnbDg9DfOuYnYrwTaOOdedM594Jy7JezzzHAc4uMqCud9GLAJ+JZz7n3n3L+cc62wmdiznXPHYwHuTKBPhfMO8BPsvO/aRjiPHmjinIsH3/Fg+7GEc38mNrv69HA8GwG54VpZi4X0sXDe/4LdUHgJC6wbYUH1KdgNFMLxjYfLhGO0PPR5Bivbsh3Icc61wM77HxKOLcBF2LUwCzgjHP88bHZ4xXP+e+wmQvyzC/Y5aBLax/XEyu98BswK5z3+mW8QztlHoZ/HSi/NCv/Po+w7YjL2+Wgczlkj7LPRADgi7AvYTYqvqfwdcQZ2fZW7hhOu37sr9DkN+47IpOzz1NM59zHlr+GDsRtcJPRpEo6Tw27oJV7DFZ0GLAnXY1ylG5EiIiIiIiIiIlJ3+1sY70geNkWw2edvpeiTC/TBynicjwVpjbHZvr/0Vjf5VeCvFfq0x8K8eJ/S8O/H2Oz0/8NC5yuxEPQOLFB7Civ7MRcL4BqFbc/Ggt3bsDBwI2VB8WVYCZ03sRmrDrgPC+96Y0F+fAayx2YcDwB+DvyWspnXx2Lh5VxsJn6TsO8LsJD6HqyszOawf4TxeuB1rFzHFCwcfCaM6Vthe/OA/6Gstn3iuWgU9m0cdqNiKRYoH4+VQrkfmx0f1z2M6xlgoHPuCixo/xALd9tiwfMhzrmTsaD4d1i5m8RxrcXKgpwUboYswsp5tAOGOud+kDCua8Mxvy+M/XwskMz2Zc8daJZkXFuxmx49gBPDehphM96HYUHoIWEbw7HZ5TOx0ip3YjdYMrGZ9sdj5Xv+hV1PL2EB9hpsFngGCec9BNpDsfNekrCNe7AZ5AuBj5xz72AlXIqwEjyPYUF8AyyIPxsLmf8W+v0inKMd2C8kXgr777GbLi8Bz4Zx/wkLoiHhM+ic+xY2uz47HONTsGtkBnaNTQbu996/Sbyzc0djn5ffh+NyKDaje1NYV8Vz/iD2WbwWON85dytldeN7h3MO9ln+b9jPduG898Fm7h+LlcK5JmyzX2gb/3VD4nfEK9hne2PY9uCwf89i5XN27QuVvyN6YAH6Jspfw33Dvlwazke8z7XYTPpbwrrivvDeH0PZNTw8ftydc+eH43oL0CXs/zXYL25WkkSFPncmHLNYsvYiIiIiIiIiIlI3+1sYv5iymcdx3bBw72jn3MQwc7lH+H97LFg8Dbg6lP+4Hgsp12DBbXFYz5nAiND/jNDnHizwjfdZgpWd+MR7vwALmjsA/8CCzvOx4HlkWGd3bJb7TqykxMfYbPHHsDD2MGwW8HwsFO2NBdY7scD0NuAmLKh7GgtGbw59u2LB3uFYiL4u/DscC/v6hO31pqyOdrxu/cTw/xLn3FVYwJuDhb1vhW28Era3DZs5vCjsfyssnLwGOC0cr1uxMPrpsP1PwvjysJsVq7z3/8XC7YnYTYQxwNVYsLswrOPrcBxex0LUweH8PgJMw8LExD79wr61CNtfhQW6p2G/PIhiNwaeCutaHs7TW2Fbfw3nqLlzbjN2I+Ry7IZL4rgWYNfLP8O4LsPC+Q/DOWqP3fwoxuqSD8DC29KwL12wme8Dwv53x4Lz57Fw/4uwjsVYIH+b9/690GcGdp3cif36I4pdH4OxmwQLseD7ZcoeTvo77CGgS7HrqxQLlxth4fA67FcRPbEAOQu7KdQGqyP/AyxUzwvH5Fns5tVfsOvpVOfcjViN+ZaU3Xg4LLQrwmZ/PwI8GPY5Dyvh8wZW6ujb2DW3EguwF4bz8Ww4Xo+E4/QzYEn47G4Kf08Px3sD8KRz7kmsfv3QsA8+nPfXsc/wZqzsTHHYzlHYZ/zU0GZUeF2NXW/FlP06ZmPYryuAbgnfMS1C//h3xMdY6P9Iwnl/EqtV3xb73FwCPBD6jMKux2PCOd0O/DUE5fHPyXjse6BHGPdF2I2VP2PX+pqwjbOwX0tMDOdolHNuHIBz7kfxPt77JcDYcMwywnkXEREREREREZE9ZL8K4733G7HSH/0BnHO9gQ3e+yu998d674d574cBc8L/V2Dh6IdYaA4WYE/EAsmWlB2jt4BHQ/9xoc88LDhsGfq0woLQI8Ks4D9iQfoxlM1kfxWbRfwf7CbBBVjQ9hssrI5is3cvwWbKr8QCyLbA29hM2bbAr7D6z+dQ9nDP+Ez7p7Aw/AvsIZU3YIH3dViA/nbYn8vCejZhYWEEON17/wkWJt6Ohe7/BL6OH7uwvVvCWCeG7awP674Nm1W8M2zjBGxW9DnYjYd53vvLsTIvF2BB8cPhGH8ZtjEXONF7vzYsn4vNdM8K4xqP3YRYiNVQ7xyO61kV+rwWxvM6Vtf7aiwYnhjG1R4L1wvDcY6XbGmOBdV3YrPIl3nv87EHxN7rvT+9wrjWYCH3kjCu+4Ht3vtjsVnus8MxJxyrN7CbGNlYOPxbLBCeEfa/EAvPd4TjdUEYT78wznudc7nYzZGl4die4L0vCufk31gQHMMe3npdOI+rwhjnYdfHbdi5L8F+xVGEXcvZYbzvYOH2JKxsSgF2na4L+3Eids1khPa3YUF9YTjmS7FAuQFWcuW6cAz7A9d57+8ATk3Y50Ox0jxzsJtF3cL2OiWcj+vCse0MfB/7bG12zh2F1TyPPxh3SxjbvdjNrRVY0D02nN87w3F7MIz9IuwaXop93m7AfkHxPezz9Ab2HfFcOC8fYddfd+Af4bvny4TvmPXY5yD+HbEWux7PDsdvPBaaR4CvQp/XseD8Oeym4mXYbPkRlP2KYihln8XvYDcC3sU+awcDP/XeR8N5uA+4KbSdGv69Fnuo9bmYmcAloQ/e+3GhTyxcByIiIiIiIiIisodk7usBpMG1wKPOuSZYIHd5VY2997Occ1cn6VOCBYJPOeeiWED484p9sFnpb2Chey8stLwOK5XRBZs9+z4W0J6MhW2bsNmyY7AwLAurZx9zzi3GAlyPzbptCrxA2Wzcv2Kh6c1hmceC3DexB7E+igXDESzoHRv2qatz7nMsqO2OlR7pjAXJl2Iz1v8NPOecK8VmFV+BlcspwGqPv4vNnv6l9365cy6GzdYehAW/mVgwG6/bPwILtx/z3k92zvXEAkywsL4voZa3c64Y6BvOwTYsnI1b5L1f4ZzbARyJBctbsF8JZIUZvwA45xZgN0oWYbO7E8e1OOz7wVjQfJ/3/r/hxsmicPy3YyHooDC2qVhAS1jnoUnG5bGZ+ddhAWYmVmf939js7jHe+1ecc5cljIvQdjj2wNzPgdedc++Fc/ITLFiOH68NWJh7Bzbbedd5DzdP4mLAYu/9MisVTmvn3ASsvM6nYVvnhnOzE/sFwATsXM/Hgute2GfgauwGUa/Qfy72q4vm4Rh+hF1DR4R9uTm0WYtdi72wGwBtsWsZrHxMR2z2dXE4Z4Tzczhlteh7h33+GgvB88P6FlPhnGM3KO7Gro3nwhi6h7Z3YZ+hQ7HPzTtYwH9ZaH9saP8M9kuC9ZTVvI+H0euxXxPEP1s7wpg+xGb0Dw7j6Rv+/R52DV+H/SomFwvS52PXdS52DUewUjORhP1Z4L2/wjk3GgvsS7GZ/vFfX7QEejnnPgrv3ee9/yIcx9HA+PD5nU5ZMJ+4L+VUuHbiy+IPyFUYLyIiIiIiIiKyJ3nv9UrxwoLHbnuhz4dARvj/x7Vsnwl8UMs+BwNP7sn2Ffe9tn1qsR/ljm8Nj9du9UnjNnYd49r2Sdd5r22fJPtdk2urYp9q92VvnI/d3U5dtpHO7VTov1f66KWXXnrppZdeeumll1566aWXXnrplfrlvE/2vFMBcM5leCvXsNf61KR/xTa17ePCVGRfxcmvbfs91Cft+16XPvvLuNJxHpPsQ62uraqWVTGmtBzb3d1OXbaRzu1Utc109RERERERERERkdQUxouIiIiIiIiIiIiIpNl+9QBXEREREREREREREZH6SGG8iIiIiIiIiIiIiEiaKYwXEREREREREREREUkzhfEiIiIiIiIiIiIiImmmMF4kTZxz3ZxzDRL+vsQ5d3n4v0tYnvj/R51zWXt3pCIiIiIiIiIiIpJuCuNF0ufPQOuEv6NY9t4G+MA5955z7j1gpXOuaWiTDfi9PE4RERERERERERFJs8x9PQCR/dgAoDOwNPxdCkS996uBIfFGzrnHvfeF4c/Y3h2iiIiIiIiIiIiI7A2aGS+SBs65Y4HxwMUJiz0Vwnbn3Ajgk704NBEREREREREREdkHFMaL7GHOuRzg/4BfAsXOuePCW56EEjTOucHASd77BxO6ZwITnHOj99Z4RUREREREREREJP1UpkZkD3LOdQAeAm733m9xzt0EPO+cux37vDnnXGcsqF8AXFdhFRnACd571Y0XERERERERERHZj2hmvMietQO4xnv/XwDvfRFwLjAHC+MzgGXALUB2ktA9piBeRERERERERERk/6OZ8SJ7kPd+HbCuwrJtwDbnXCbgvPcx59w24NAkq7g4yTIRERERERERERH5hlMYL7L3ZFL2AFcPDHfOvQe4sCwDiDrn7vXev7AvBigiIiIiIiIiIiLp4VQRQ2TvcM5leO9jCX9nUfZAV++9j+6bkYmIiIiIiIiIiEi6KYwXEREREREREREREUkzPcBVRERERERERERERCTNFMaLiIiIiIiIiIiIiKSZwngREREREREREY+hNzoAAAAoSURBVBERkTRTGC8iIiIiIiIiIiIikmYK40VERERERERERERE0uz/A4Ac0aC+tvO9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1496x2520 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=df_192021, x=\"시간\", y=\"인원수\", kind=\"point\",\n",
    "            ci=None, hue=\"승하차\", col=\"호선명\", col_wrap=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 승하차 인원"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간대</th>\n",
       "      <th>출퇴근</th>\n",
       "      <th>연도</th>\n",
       "      <th>월</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>428143</th>\n",
       "      <td>201907</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>456549</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431729</th>\n",
       "      <td>201901</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>449728</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429933</th>\n",
       "      <td>201904</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>443474</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519834</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>09시-10시 하차인원</td>\n",
       "      <td>439572</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>하차</td>\n",
       "      <td>9</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429336</th>\n",
       "      <td>201905</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>426188</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523420</th>\n",
       "      <td>201901</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>09시-10시 하차인원</td>\n",
       "      <td>420878</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>하차</td>\n",
       "      <td>9</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427977</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>역삼</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>416599</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426350</th>\n",
       "      <td>201910</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>412238</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420972</th>\n",
       "      <td>202007</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>410689</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2020</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414327</th>\n",
       "      <td>202106</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>409884</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2021</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425753</th>\n",
       "      <td>201911</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>409257</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430533</th>\n",
       "      <td>201903</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>408264</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427944</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>407314</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416151</th>\n",
       "      <td>202103</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>400622</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2021</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415543</th>\n",
       "      <td>202104</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>399782</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2021</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425157</th>\n",
       "      <td>201912</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>399553</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431563</th>\n",
       "      <td>201901</td>\n",
       "      <td>2호선</td>\n",
       "      <td>역삼</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>397974</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427960</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>삼성(무역센터)</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>396659</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424560</th>\n",
       "      <td>202001</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>395934</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421570</th>\n",
       "      <td>202006</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>08시-09시 하차인원</td>\n",
       "      <td>394412</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>하차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           사용월  호선명      지하철역         시간승하차     인원수       시간 승하차  시간대 출퇴근  \\\n",
       "428143  201907  7호선   가산디지털단지  08시-09시 하차인원  456549  08시-09시  하차    8  출근   \n",
       "431729  201901  7호선   가산디지털단지  08시-09시 하차인원  449728  08시-09시  하차    8  출근   \n",
       "429933  201904  7호선   가산디지털단지  08시-09시 하차인원  443474  08시-09시  하차    8  출근   \n",
       "519834  201907  2호선        강남  09시-10시 하차인원  439572  09시-10시  하차    9  출근   \n",
       "429336  201905  7호선   가산디지털단지  08시-09시 하차인원  426188  08시-09시  하차    8  출근   \n",
       "523420  201901  2호선        강남  09시-10시 하차인원  420878  09시-10시  하차    9  출근   \n",
       "427977  201907  2호선        역삼  08시-09시 하차인원  416599  08시-09시  하차    8  출근   \n",
       "426350  201910  7호선   가산디지털단지  08시-09시 하차인원  412238  08시-09시  하차    8  출근   \n",
       "420972  202007  7호선   가산디지털단지  08시-09시 하차인원  410689  08시-09시  하차    8  출근   \n",
       "414327  202106  7호선   가산디지털단지  08시-09시 하차인원  409884  08시-09시  하차    8  출근   \n",
       "425753  201911  7호선   가산디지털단지  08시-09시 하차인원  409257  08시-09시  하차    8  출근   \n",
       "430533  201903  7호선   가산디지털단지  08시-09시 하차인원  408264  08시-09시  하차    8  출근   \n",
       "427944  201907  2호선        강남  08시-09시 하차인원  407314  08시-09시  하차    8  출근   \n",
       "416151  202103  7호선   가산디지털단지  08시-09시 하차인원  400622  08시-09시  하차    8  출근   \n",
       "415543  202104  7호선   가산디지털단지  08시-09시 하차인원  399782  08시-09시  하차    8  출근   \n",
       "425157  201912  7호선   가산디지털단지  08시-09시 하차인원  399553  08시-09시  하차    8  출근   \n",
       "431563  201901  2호선        역삼  08시-09시 하차인원  397974  08시-09시  하차    8  출근   \n",
       "427960  201907  2호선  삼성(무역센터)  08시-09시 하차인원  396659  08시-09시  하차    8  출근   \n",
       "424560  202001  7호선   가산디지털단지  08시-09시 하차인원  395934  08시-09시  하차    8  출근   \n",
       "421570  202006  7호선   가산디지털단지  08시-09시 하차인원  394412  08시-09시  하차    8  출근   \n",
       "\n",
       "          연도   월  \n",
       "428143  2019  07  \n",
       "431729  2019  01  \n",
       "429933  2019  04  \n",
       "519834  2019  07  \n",
       "429336  2019  05  \n",
       "523420  2019  01  \n",
       "427977  2019  07  \n",
       "426350  2019  10  \n",
       "420972  2020  07  \n",
       "414327  2021  06  \n",
       "425753  2019  11  \n",
       "430533  2019  03  \n",
       "427944  2019  07  \n",
       "416151  2021  03  \n",
       "415543  2021  04  \n",
       "425157  2019  12  \n",
       "431563  2019  01  \n",
       "427960  2019  07  \n",
       "424560  2020  01  \n",
       "421570  2020  06  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_192021[df_192021[\"승하차\"] == \"하차\"].sort_values(by=[\"인원수\", \"지하철역\"], ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>사용월</th>\n",
       "      <th>호선명</th>\n",
       "      <th>지하철역</th>\n",
       "      <th>시간승하차</th>\n",
       "      <th>인원수</th>\n",
       "      <th>시간</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간대</th>\n",
       "      <th>출퇴근</th>\n",
       "      <th>연도</th>\n",
       "      <th>월</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1300899</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>448390</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304485</th>\n",
       "      <td>201901</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>431115</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300301</th>\n",
       "      <td>201908</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>409350</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302092</th>\n",
       "      <td>201905</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>407478</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302689</th>\n",
       "      <td>201904</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>401901</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299106</th>\n",
       "      <td>201910</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>396172</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293727</th>\n",
       "      <td>202007</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>391365</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2020</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303289</th>\n",
       "      <td>201903</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>388964</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298509</th>\n",
       "      <td>201911</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>387701</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297912</th>\n",
       "      <td>201912</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>386600</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300915</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>삼성(무역센터)</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>383743</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301496</th>\n",
       "      <td>201906</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>375251</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297315</th>\n",
       "      <td>202001</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>374029</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382026</th>\n",
       "      <td>201907</td>\n",
       "      <td>2호선</td>\n",
       "      <td>신림</td>\n",
       "      <td>08시-09시 승차인원</td>\n",
       "      <td>373344</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>승차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383816</th>\n",
       "      <td>201904</td>\n",
       "      <td>2호선</td>\n",
       "      <td>신림</td>\n",
       "      <td>08시-09시 승차인원</td>\n",
       "      <td>371701</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>승차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301098</th>\n",
       "      <td>201907</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>368567</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383219</th>\n",
       "      <td>201905</td>\n",
       "      <td>2호선</td>\n",
       "      <td>신림</td>\n",
       "      <td>08시-09시 승차인원</td>\n",
       "      <td>366147</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>승차</td>\n",
       "      <td>8</td>\n",
       "      <td>출근</td>\n",
       "      <td>2019</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304684</th>\n",
       "      <td>201901</td>\n",
       "      <td>7호선</td>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>365886</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294325</th>\n",
       "      <td>202006</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>359795</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299704</th>\n",
       "      <td>201909</td>\n",
       "      <td>2호선</td>\n",
       "      <td>강남</td>\n",
       "      <td>18시-19시 승차인원</td>\n",
       "      <td>359068</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>승차</td>\n",
       "      <td>18</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>2019</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            사용월  호선명      지하철역         시간승하차     인원수       시간 승하차  시간대 출퇴근  \\\n",
       "1300899  201907  2호선        강남  18시-19시 승차인원  448390  18시-19시  승차   18  퇴근   \n",
       "1304485  201901  2호선        강남  18시-19시 승차인원  431115  18시-19시  승차   18  퇴근   \n",
       "1300301  201908  2호선        강남  18시-19시 승차인원  409350  18시-19시  승차   18  퇴근   \n",
       "1302092  201905  2호선        강남  18시-19시 승차인원  407478  18시-19시  승차   18  퇴근   \n",
       "1302689  201904  2호선        강남  18시-19시 승차인원  401901  18시-19시  승차   18  퇴근   \n",
       "1299106  201910  2호선        강남  18시-19시 승차인원  396172  18시-19시  승차   18  퇴근   \n",
       "1293727  202007  2호선        강남  18시-19시 승차인원  391365  18시-19시  승차   18  퇴근   \n",
       "1303289  201903  2호선        강남  18시-19시 승차인원  388964  18시-19시  승차   18  퇴근   \n",
       "1298509  201911  2호선        강남  18시-19시 승차인원  387701  18시-19시  승차   18  퇴근   \n",
       "1297912  201912  2호선        강남  18시-19시 승차인원  386600  18시-19시  승차   18  퇴근   \n",
       "1300915  201907  2호선  삼성(무역센터)  18시-19시 승차인원  383743  18시-19시  승차   18  퇴근   \n",
       "1301496  201906  2호선        강남  18시-19시 승차인원  375251  18시-19시  승차   18  퇴근   \n",
       "1297315  202001  2호선        강남  18시-19시 승차인원  374029  18시-19시  승차   18  퇴근   \n",
       "382026   201907  2호선        신림  08시-09시 승차인원  373344  08시-09시  승차    8  출근   \n",
       "383816   201904  2호선        신림  08시-09시 승차인원  371701  08시-09시  승차    8  출근   \n",
       "1301098  201907  7호선   가산디지털단지  18시-19시 승차인원  368567  18시-19시  승차   18  퇴근   \n",
       "383219   201905  2호선        신림  08시-09시 승차인원  366147  08시-09시  승차    8  출근   \n",
       "1304684  201901  7호선   가산디지털단지  18시-19시 승차인원  365886  18시-19시  승차   18  퇴근   \n",
       "1294325  202006  2호선        강남  18시-19시 승차인원  359795  18시-19시  승차   18  퇴근   \n",
       "1299704  201909  2호선        강남  18시-19시 승차인원  359068  18시-19시  승차   18  퇴근   \n",
       "\n",
       "           연도   월  \n",
       "1300899  2019  07  \n",
       "1304485  2019  01  \n",
       "1300301  2019  08  \n",
       "1302092  2019  05  \n",
       "1302689  2019  04  \n",
       "1299106  2019  10  \n",
       "1293727  2020  07  \n",
       "1303289  2019  03  \n",
       "1298509  2019  11  \n",
       "1297912  2019  12  \n",
       "1300915  2019  07  \n",
       "1301496  2019  06  \n",
       "1297315  2020  01  \n",
       "382026   2019  07  \n",
       "383816   2019  04  \n",
       "1301098  2019  07  \n",
       "383219   2019  05  \n",
       "1304684  2019  01  \n",
       "1294325  2020  06  \n",
       "1299704  2019  09  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_192021[df_192021[\"승하차\"] == \"승차\"].sort_values(by=[\"인원수\", \"지하철역\"], ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 출퇴근 시간 승하차 빈도수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>지하철역</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간</th>\n",
       "      <th>출퇴근</th>\n",
       "      <th>인원수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.19민주묘지</td>\n",
       "      <td>승차</td>\n",
       "      <td>07시-08시</td>\n",
       "      <td>출근</td>\n",
       "      <td>222508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.19민주묘지</td>\n",
       "      <td>승차</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>출근</td>\n",
       "      <td>255691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.19민주묘지</td>\n",
       "      <td>승차</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>출근</td>\n",
       "      <td>178470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.19민주묘지</td>\n",
       "      <td>승차</td>\n",
       "      <td>10시-11시</td>\n",
       "      <td>출근</td>\n",
       "      <td>141904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.19민주묘지</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>186827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9445</th>\n",
       "      <td>흑석(중앙대입구)</td>\n",
       "      <td>하차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>549993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9446</th>\n",
       "      <td>흑석(중앙대입구)</td>\n",
       "      <td>하차</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>810559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9447</th>\n",
       "      <td>흑석(중앙대입구)</td>\n",
       "      <td>하차</td>\n",
       "      <td>19시-20시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>614598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9448</th>\n",
       "      <td>흑석(중앙대입구)</td>\n",
       "      <td>하차</td>\n",
       "      <td>20시-21시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>395677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9449</th>\n",
       "      <td>흑석(중앙대입구)</td>\n",
       "      <td>하차</td>\n",
       "      <td>21시-22시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>347731</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9450 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           지하철역 승하차       시간 출퇴근     인원수\n",
       "0      4.19민주묘지  승차  07시-08시  출근  222508\n",
       "1      4.19민주묘지  승차  08시-09시  출근  255691\n",
       "2      4.19민주묘지  승차  09시-10시  출근  178470\n",
       "3      4.19민주묘지  승차  10시-11시  출근  141904\n",
       "4      4.19민주묘지  승차  17시-18시  퇴근  186827\n",
       "...         ...  ..      ...  ..     ...\n",
       "9445  흑석(중앙대입구)  하차  17시-18시  퇴근  549993\n",
       "9446  흑석(중앙대입구)  하차  18시-19시  퇴근  810559\n",
       "9447  흑석(중앙대입구)  하차  19시-20시  퇴근  614598\n",
       "9448  흑석(중앙대입구)  하차  20시-21시  퇴근  395677\n",
       "9449  흑석(중앙대입구)  하차  21시-22시  퇴근  347731\n",
       "\n",
       "[9450 rows x 5 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station = df_192021.groupby(by=[\"지하철역\", \"승하차\", \"시간\", \"출퇴근\"])[\"인원수\"].sum().reset_index()\n",
    "df_station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "             지하철역 승하차       시간 출퇴근       인원수\n",
       "64        가산디지털단지  하차  08시-09시  출근  16552762\n",
       "4726           선릉  하차  08시-09시  출근  12664708\n",
       "5338           시청  하차  08시-09시  출근  11662788\n",
       "6418          여의도  하차  08시-09시  출근  10872974\n",
       "4582          서울역  하차  08시-09시  출근  10702900\n",
       "209            강남  하차  09시-10시  출근  10275230\n",
       "6472           역삼  하차  08시-09시  출근  10097811\n",
       "208            강남  하차  08시-09시  출근   9992026\n",
       "4132     삼성(무역센터)  하차  08시-09시  출근   9789354\n",
       "7300        을지로입구  하차  08시-09시  출근   9226384\n",
       "4727           선릉  하차  09시-10시  출근   9085120\n",
       "65        가산디지털단지  하차  09시-10시  출근   8709505\n",
       "892   광화문(세종문화회관)  하차  08시-09시  출근   8358089\n",
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       "964       구로디지털단지  하차  08시-09시  출근   7707064\n",
       "9230         홍대입구  하차  18시-19시  퇴근   7642159\n",
       "3974           사당  하차  18시-19시  퇴근   7559822\n",
       "5576           신림  하차  18시-19시  퇴근   7530655"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station[df_station[\"승하차\"] == \"하차\"].sort_values(\"인원수\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "             지하철역 승하차       시간 출퇴근      인원수\n",
       "5563           신림  승차  08시-09시  출근  9595580\n",
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       "3961           사당  승차  08시-09시  출근  5736288\n",
       "955       구로디지털단지  승차  08시-09시  출근  5645485\n",
       "4537  서울대입구(관악구청)  승차  08시-09시  출근  5610573\n",
       "7651     잠실(송파구청)  승차  08시-09시  출근  5391017\n",
       "6517          연신내  승차  08시-09시  출근  5000714\n",
       "1441          까치산  승차  08시-09시  출근  4741768\n",
       "5527          신도림  승차  08시-09시  출근  4652484\n",
       "9271           화곡  승차  08시-09시  출근  4480920\n",
       "5526          신도림  승차  07시-08시  출근  4392320\n",
       "3960           사당  승차  07시-08시  출근  4255550\n",
       "954       구로디지털단지  승차  07시-08시  출근  4229386\n",
       "5869           쌍문  승차  08시-09시  출근  4200600\n",
       "3962           사당  승차  09시-10시  출근  4147621\n",
       "6516          연신내  승차  07시-08시  출근  4144423\n",
       "5239     수유(강북구청)  승차  08시-09시  출근  4050020\n",
       "5491          신대방  승차  08시-09시  출근  3964087\n",
       "7652     잠실(송파구청)  승차  09시-10시  출근  3942147"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station[\n",
    "    (df_station[\"승하차\"] == \"승차\") & (df_station[\"출퇴근\"] == \"출근\")\n",
    "].sort_values(\"인원수\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>지하철역</th>\n",
       "      <th>승하차</th>\n",
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       "      <th>64</th>\n",
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       "      <td>08시-09시</td>\n",
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       "      <th>4726</th>\n",
       "      <td>선릉</td>\n",
       "      <td>하차</td>\n",
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       "      <td>여의도</td>\n",
       "      <td>하차</td>\n",
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       "    <tr>\n",
       "      <th>4582</th>\n",
       "      <td>서울역</td>\n",
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       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>강남</td>\n",
       "      <td>하차</td>\n",
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       "      <td>출근</td>\n",
       "      <td>10275230</td>\n",
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       "    <tr>\n",
       "      <th>6472</th>\n",
       "      <td>역삼</td>\n",
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       "      <td>출근</td>\n",
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       "      <td>하차</td>\n",
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       "      <td>출근</td>\n",
       "      <td>9226384</td>\n",
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       "    <tr>\n",
       "      <th>4727</th>\n",
       "      <td>선릉</td>\n",
       "      <td>하차</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>출근</td>\n",
       "      <td>9085120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>하차</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>출근</td>\n",
       "      <td>8709505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>광화문(세종문화회관)</td>\n",
       "      <td>하차</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>출근</td>\n",
       "      <td>8358089</td>\n",
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       "    <tr>\n",
       "      <th>6473</th>\n",
       "      <td>역삼</td>\n",
       "      <td>하차</td>\n",
       "      <td>09시-10시</td>\n",
       "      <td>출근</td>\n",
       "      <td>8030536</td>\n",
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       "    <tr>\n",
       "      <th>4816</th>\n",
       "      <td>성수</td>\n",
       "      <td>하차</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>출근</td>\n",
       "      <td>7789634</td>\n",
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       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>구로디지털단지</td>\n",
       "      <td>하차</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>출근</td>\n",
       "      <td>7707064</td>\n",
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       "    <tr>\n",
       "      <th>6238</th>\n",
       "      <td>양재(서초구청)</td>\n",
       "      <td>하차</td>\n",
       "      <td>08시-09시</td>\n",
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       "      <td>잠실(송파구청)</td>\n",
       "      <td>하차</td>\n",
       "      <td>08시-09시</td>\n",
       "      <td>출근</td>\n",
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       "      <th>4133</th>\n",
       "      <td>삼성(무역센터)</td>\n",
       "      <td>하차</td>\n",
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       "      <td>출근</td>\n",
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       "    <tr>\n",
       "      <th>6417</th>\n",
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       "      <td>출근</td>\n",
       "      <td>7315479</td>\n",
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      ],
      "text/plain": [
       "             지하철역 승하차       시간 출퇴근       인원수\n",
       "64        가산디지털단지  하차  08시-09시  출근  16552762\n",
       "4726           선릉  하차  08시-09시  출근  12664708\n",
       "5338           시청  하차  08시-09시  출근  11662788\n",
       "6418          여의도  하차  08시-09시  출근  10872974\n",
       "4582          서울역  하차  08시-09시  출근  10702900\n",
       "209            강남  하차  09시-10시  출근  10275230\n",
       "6472           역삼  하차  08시-09시  출근  10097811\n",
       "208            강남  하차  08시-09시  출근   9992026\n",
       "4132     삼성(무역센터)  하차  08시-09시  출근   9789354\n",
       "7300        을지로입구  하차  08시-09시  출근   9226384\n",
       "4727           선릉  하차  09시-10시  출근   9085120\n",
       "65        가산디지털단지  하차  09시-10시  출근   8709505\n",
       "892   광화문(세종문화회관)  하차  08시-09시  출근   8358089\n",
       "6473           역삼  하차  09시-10시  출근   8030536\n",
       "4816           성수  하차  08시-09시  출근   7789634\n",
       "964       구로디지털단지  하차  08시-09시  출근   7707064\n",
       "6238     양재(서초구청)  하차  08시-09시  출근   7444176\n",
       "7660     잠실(송파구청)  하차  08시-09시  출근   7424998\n",
       "4133     삼성(무역센터)  하차  09시-10시  출근   7320618\n",
       "6417          여의도  하차  07시-08시  출근   7315479"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station[\n",
    "    (df_station[\"승하차\"] == \"하차\") & (df_station[\"출퇴근\"] == \"출근\")\n",
    "].sort_values(\"인원수\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>서울역</td>\n",
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       "      <th>4127</th>\n",
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       "      <td>승차</td>\n",
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       "      <th>6467</th>\n",
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       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>8367627</td>\n",
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       "    <tr>\n",
       "      <th>7295</th>\n",
       "      <td>을지로입구</td>\n",
       "      <td>승차</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>7941121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>강남</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>7354451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>고속터미널</td>\n",
       "      <td>승차</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>7026500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>구로디지털단지</td>\n",
       "      <td>승차</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6963235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>강남</td>\n",
       "      <td>승차</td>\n",
       "      <td>19시-20시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6957411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>고속터미널</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6843459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4576</th>\n",
       "      <td>서울역</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6810779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>강남</td>\n",
       "      <td>승차</td>\n",
       "      <td>21시-22시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6725805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7943</th>\n",
       "      <td>종로3가</td>\n",
       "      <td>승차</td>\n",
       "      <td>18시-19시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6615843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7654</th>\n",
       "      <td>잠실(송파구청)</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6602570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>가산디지털단지</td>\n",
       "      <td>승차</td>\n",
       "      <td>17시-18시</td>\n",
       "      <td>퇴근</td>\n",
       "      <td>6591379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          지하철역 승하차       시간 출퇴근       인원수\n",
       "59     가산디지털단지  승차  18시-19시  퇴근  13102765\n",
       "4721        선릉  승차  18시-19시  퇴근  10892512\n",
       "203         강남  승차  18시-19시  퇴근  10834436\n",
       "4577       서울역  승차  18시-19시  퇴근  10401026\n",
       "5333        시청  승차  18시-19시  퇴근   9513997\n",
       "6413       여의도  승차  18시-19시  퇴근   9269844\n",
       "4127  삼성(무역센터)  승차  18시-19시  퇴근   8952595\n",
       "7655  잠실(송파구청)  승차  18시-19시  퇴근   8870022\n",
       "6467        역삼  승차  18시-19시  퇴근   8367627\n",
       "7295     을지로입구  승차  18시-19시  퇴근   7941121\n",
       "202         강남  승차  17시-18시  퇴근   7354451\n",
       "635      고속터미널  승차  18시-19시  퇴근   7026500\n",
       "959    구로디지털단지  승차  18시-19시  퇴근   6963235\n",
       "204         강남  승차  19시-20시  퇴근   6957411\n",
       "634      고속터미널  승차  17시-18시  퇴근   6843459\n",
       "4576       서울역  승차  17시-18시  퇴근   6810779\n",
       "206         강남  승차  21시-22시  퇴근   6725805\n",
       "7943      종로3가  승차  18시-19시  퇴근   6615843\n",
       "7654  잠실(송파구청)  승차  17시-18시  퇴근   6602570\n",
       "58     가산디지털단지  승차  17시-18시  퇴근   6591379"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station[\n",
    "    (df_station[\"승하차\"] == \"승차\") & (df_station[\"출퇴근\"] == \"퇴근\")\n",
    "].sort_values(\"인원수\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>지하철역</th>\n",
       "      <th>승하차</th>\n",
       "      <th>시간</th>\n",
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       "      <th>3975</th>\n",
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       "    <tr>\n",
       "      <th>7663</th>\n",
       "      <td>잠실(송파구청)</td>\n",
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       "      <td>잠실(송파구청)</td>\n",
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      "text/plain": [
       "             지하철역 승하차       시간 출퇴근      인원수\n",
       "7664     잠실(송파구청)  하차  18시-19시  퇴근  7834326\n",
       "9230         홍대입구  하차  18시-19시  퇴근  7642159\n",
       "3974           사당  하차  18시-19시  퇴근  7559822\n",
       "5576           신림  하차  18시-19시  퇴근  7530655\n",
       "5577           신림  하차  19시-20시  퇴근  7099676\n",
       "212            강남  하차  18시-19시  퇴근  6462445\n",
       "464          건대입구  하차  18시-19시  퇴근  6226169\n",
       "644         고속터미널  하차  18시-19시  퇴근  6047413\n",
       "9229         홍대입구  하차  17시-18시  퇴근  5935662\n",
       "9231         홍대입구  하차  19시-20시  퇴근  5851303\n",
       "3975           사당  하차  19시-20시  퇴근  5656049\n",
       "5540          신도림  하차  18시-19시  퇴근  5620425\n",
       "7663     잠실(송파구청)  하차  17시-18시  퇴근  5548307\n",
       "7665     잠실(송파구청)  하차  19시-20시  퇴근  5496145\n",
       "643         고속터미널  하차  17시-18시  퇴근  5290421\n",
       "4550  서울대입구(관악구청)  하차  18시-19시  퇴근  5131033\n",
       "968       구로디지털단지  하차  18시-19시  퇴근  5020655\n",
       "3973           사당  하차  17시-18시  퇴근  4981327\n",
       "211            강남  하차  17시-18시  퇴근  4679309\n",
       "465          건대입구  하차  19시-20시  퇴근  4648524"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station[\n",
    "    (df_station[\"승하차\"] == \"하차\") & (df_station[\"출퇴근\"] == \"퇴근\")\n",
    "].sort_values(\"인원수\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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